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zh*qoP+KxW0vjN}#&MsQAWXU<{`!hi~F)8s}$%-}mDe)NE>!AxGF-T62xulnm;t#*@ z|NU152d@vi&}iWm-Z5H^sua~>}*H*tu~NgW3H1FMbFDS ztE^%+uV6J6)MSHKrPJ%rUID+kVV#Mm=%IQTNXJ3j#KCZd?3O3Y=QY-iaVovCt=h8S z;f3l`(>hDhM(8pG$cu|~d2yE?(83KF??9Vh`Rb^>_@fu}Q~gAS1dt#HkH?p`nT;Hn zedIeoD7G*={~h-3zmH}9uLG&aNZC{GY~+;>A3mfvdq5Ob3`Ft}z1zlv3C18=^LEel z053hA1vU{s^nOHuw*yO$^#B2=hyA+G*EVI`UIpUQ_@PSiL!bn%b?J6(OUq>v{aXJr z>|2Yn9rYjU%?H@*2vB1;X4oJ6epA6s#e9FSMQYFC`@< z*-JMazCO_3&+`ea6D@%LR^@{WV(wOO*uD*P``KGIu6t7!Wnzy!9s|_ejO{Jv|K}S$Lv#cE{eE05M7^wJC!R$zc yoqjClgYm_S7t!$;@)PiJU&M%g7eRAT02w3?3LjnBx>9th#cu0e89R^v`Tqe&e&6l@ literal 0 HcmV?d00001 From d486b99b54f114dcc8200b0e1aa24645d703a500 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Thu, 1 Feb 2024 17:03:49 +0100 Subject: [PATCH 002/154] pollution_v2: refactoring to airflow more on issue #1 and added the followings: pollution computer v1 and validation data task draft more instructions - issue #1 update on dags, content and folder - issue #1 temporary version to be restored - issue #1 some adjustments - issue #1 method from protected to public - issue #1 working examples not caring about proxy - issue #1 right path - issue #1 generic path - issue #1 smaller logs - issue #1 settings from env vars - issue #1 Added group computation in processing task and serialization of stations data Added computation and upload of data Moved connector, data models and settings from pollution_connector to common folder dag execution mode sequential as detailed in issue #7 Changed comments Fixed task logs Changed ODH_MINIMUM_STARTING_DATE Added tests folder Added unit tests for pollution_computer dag and tasks more on dev environment more on no_proxy config added logs folder to gitignore Set ODH_MINIMUM_STARTING_DATE as default starting date, added warnings on latest pollution measure backfill is done by DAG self-triggering instead of while in pollution computation - issue #7 TODO added - issue #7 update of diagrams and readme - issue #2 useless instructions as no_proxy is configured as env var execution starts at midnight Added test on starting date Added xcom tests Added test on defined number of tasks licence identifier dag looking if there are more data on some stations and self-trigger another dag aware of these stations - issue #14 stations from previous run used by the next - issue 14 Added common dag class -wip a single call to get all stations and latest dates (instead of a call for each station) - issue 14 Fixed logger names Added DAG superclass, implemented dag-specific has_remaining_data method for whats_next task Solved whats_next parameter issue, added some logs Changed whats_next trigger rule to all_done for pollution_computer and validator Changed validation crontab Resolve "Example deployment" Added crontab env vars to readme Added test on whats_next task to pollution computer Added tests on date range remote logs configuration - issue #20 removed content from v1 remote logs configuration - issue #20 addition to gitignore file containing a version of docker-compose with development env vars comment changed licence added todo removed writing restored - issue #15 env vars development values removed --- pollution_v2/.gitignore | 12 + pollution_v2/CHANGELOG.md | 13 + pollution_v2/Dockerfile | 14 + pollution_v2/README.md | 253 +++++++++ pollution_v2/airflow.sh | 43 ++ pollution_v2/config/validator.yaml | 22 + pollution_v2/docker-compose.yaml | 302 ++++++++++ .../UML Architecture Validation.png | Bin 0 -> 21436 bytes .../UML Architecture Validation.svg | 3 + .../documentation/UML Architecture.png | Bin 28580 -> 55581 bytes .../documentation/UML Architecture.svg | 3 + .../documentation/UML Sequence diagram.png | Bin 0 -> 97909 bytes .../documentation/UML Sequence diagram.svg | 3 + pollution_v2/requirements.txt | 17 + pollution_v2/src/.airflowignore | 7 + pollution_v2/src/common/__init__.py | 0 pollution_v2/src/common/connector/__init__.py | 3 + .../src/common/connector/collector.py | 70 +++ pollution_v2/src/common/connector/common.py | 522 ++++++++++++++++++ .../src/common/connector/pollution.py | 59 ++ pollution_v2/src/common/connector/traffic.py | 64 +++ .../src/common/data_model/__init__.py | 6 + pollution_v2/src/common/data_model/common.py | 221 ++++++++ .../src/common/data_model/pollution.py | 71 +++ pollution_v2/src/common/data_model/traffic.py | 160 ++++++ pollution_v2/src/common/manager/__init__.py | 0 .../src/common/manager/traffic_station.py | 53 ++ pollution_v2/src/common/settings.py | 57 ++ pollution_v2/src/dags/__init__.py | 3 + .../src/dags/aiaas_pollution_computer.py | 145 +++++ pollution_v2/src/dags/aiaas_validator.py | 123 +++++ pollution_v2/src/dags/common.py | 98 ++++ pollution_v2/src/dags/sample.py | 137 +++++ .../src/pollution_connector/__init__.py | 3 + .../src/pollution_connector/cache/__init__.py | 3 + .../src/pollution_connector/cache/common.py | 69 +++ .../cache/computation_checkpoint.py | 53 ++ .../pollution_connector/common/__init__.py | 3 + .../src/pollution_connector/common/logging.py | 72 +++ pollution_v2/src/pollution_connector/main.py | 60 ++ .../CopertEmissions.py | 97 ++++ .../pollution_computation_model/__init__.py | 3 + .../input/blacklist.txt | 0 .../input/copert55.db | Bin 0 -> 44908544 bytes .../input/fc_info.csv | 37 ++ .../input/geometry.csv | 316 +++++++++++ .../pollution_computation_model/input/km.csv | 52 ++ .../pollution_computation_model.py | 102 ++++ .../src/pollution_connector/tasks/__init__.py | 3 + .../tasks/pollution_computation.py | 218 ++++++++ pollution_v2/src/tests/__init__.py | 0 pollution_v2/src/tests/test_common.py | 37 ++ .../src/tests/test_pollution_computation.py | 159 ++++++ .../src/tests/test_pollution_connector_dag.py | 73 +++ .../tests/test_pollution_connector_tasks.py | 197 +++++++ pollution_v2/src/validator/Moduli.py | 207 +++++++ pollution_v2/src/validator/__init__.py | 3 + pollution_v2/src/validator/dataConnector.py | 82 +++ pollution_v2/src/validator/db_to_db.R | 37 ++ pollution_v2/src/validator/main.py | 74 +++ 60 files changed, 4444 insertions(+) create mode 100644 pollution_v2/.gitignore create mode 100644 pollution_v2/CHANGELOG.md create mode 100644 pollution_v2/Dockerfile create mode 100644 pollution_v2/README.md create mode 100755 pollution_v2/airflow.sh create mode 100644 pollution_v2/config/validator.yaml create mode 100644 pollution_v2/docker-compose.yaml create mode 100644 pollution_v2/documentation/UML Architecture Validation.png create mode 100644 pollution_v2/documentation/UML Architecture Validation.svg create mode 100644 pollution_v2/documentation/UML Architecture.svg create mode 100644 pollution_v2/documentation/UML Sequence diagram.png create mode 100644 pollution_v2/documentation/UML Sequence diagram.svg create mode 100644 pollution_v2/requirements.txt create mode 100644 pollution_v2/src/.airflowignore create mode 100644 pollution_v2/src/common/__init__.py create mode 100644 pollution_v2/src/common/connector/__init__.py create mode 100644 pollution_v2/src/common/connector/collector.py create mode 100644 pollution_v2/src/common/connector/common.py create mode 100644 pollution_v2/src/common/connector/pollution.py create mode 100644 pollution_v2/src/common/connector/traffic.py create mode 100644 pollution_v2/src/common/data_model/__init__.py create mode 100644 pollution_v2/src/common/data_model/common.py create mode 100644 pollution_v2/src/common/data_model/pollution.py create mode 100644 pollution_v2/src/common/data_model/traffic.py create mode 100644 pollution_v2/src/common/manager/__init__.py create mode 100644 pollution_v2/src/common/manager/traffic_station.py create mode 100644 pollution_v2/src/common/settings.py create mode 100644 pollution_v2/src/dags/__init__.py create mode 100644 pollution_v2/src/dags/aiaas_pollution_computer.py create mode 100644 pollution_v2/src/dags/aiaas_validator.py create mode 100644 pollution_v2/src/dags/common.py create mode 100644 pollution_v2/src/dags/sample.py create mode 100644 pollution_v2/src/pollution_connector/__init__.py create mode 100644 pollution_v2/src/pollution_connector/cache/__init__.py create mode 100644 pollution_v2/src/pollution_connector/cache/common.py create mode 100644 pollution_v2/src/pollution_connector/cache/computation_checkpoint.py create mode 100644 pollution_v2/src/pollution_connector/common/__init__.py create mode 100644 pollution_v2/src/pollution_connector/common/logging.py create mode 100644 pollution_v2/src/pollution_connector/main.py create mode 100644 pollution_v2/src/pollution_connector/pollution_computation_model/CopertEmissions.py create mode 100644 pollution_v2/src/pollution_connector/pollution_computation_model/__init__.py create mode 100644 pollution_v2/src/pollution_connector/pollution_computation_model/input/blacklist.txt create mode 100644 pollution_v2/src/pollution_connector/pollution_computation_model/input/copert55.db create mode 100644 pollution_v2/src/pollution_connector/pollution_computation_model/input/fc_info.csv create mode 100644 pollution_v2/src/pollution_connector/pollution_computation_model/input/geometry.csv create mode 100644 pollution_v2/src/pollution_connector/pollution_computation_model/input/km.csv create mode 100644 pollution_v2/src/pollution_connector/pollution_computation_model/pollution_computation_model.py create mode 100644 pollution_v2/src/pollution_connector/tasks/__init__.py create mode 100644 pollution_v2/src/pollution_connector/tasks/pollution_computation.py create mode 100644 pollution_v2/src/tests/__init__.py create mode 100644 pollution_v2/src/tests/test_common.py create mode 100644 pollution_v2/src/tests/test_pollution_computation.py create mode 100644 pollution_v2/src/tests/test_pollution_connector_dag.py create mode 100644 pollution_v2/src/tests/test_pollution_connector_tasks.py create mode 100644 pollution_v2/src/validator/Moduli.py create mode 100644 pollution_v2/src/validator/__init__.py create mode 100644 pollution_v2/src/validator/dataConnector.py create mode 100644 pollution_v2/src/validator/db_to_db.R create mode 100644 pollution_v2/src/validator/main.py diff --git a/pollution_v2/.gitignore b/pollution_v2/.gitignore new file mode 100644 index 00000000..f4a7b5cc --- /dev/null +++ b/pollution_v2/.gitignore @@ -0,0 +1,12 @@ +/roles +/airflow +/logs + +venv* +.venv +*.pyc +.idea +*.log +celerybeat-schedule.db +/sample_data/input/odh.db +docker-compose.yaml.custom diff --git a/pollution_v2/CHANGELOG.md b/pollution_v2/CHANGELOG.md new file mode 100644 index 00000000..7a8a7d47 --- /dev/null +++ b/pollution_v2/CHANGELOG.md @@ -0,0 +1,13 @@ + + +# Changelog + +[[_TOC_]] + +## Version 0.* + +### 0.1.0 diff --git a/pollution_v2/Dockerfile b/pollution_v2/Dockerfile new file mode 100644 index 00000000..5c796f7b --- /dev/null +++ b/pollution_v2/Dockerfile @@ -0,0 +1,14 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: CC0-1.0 + +FROM apache/airflow:2.8.1-python3.11 +USER root +RUN apt update +RUN apt install -y gcc g++ build-essential +USER airflow +COPY requirements.txt . +RUN pip install apache-airflow==${AIRFLOW_VERSION} -r requirements.txt +# providers for writing logs on S3 +RUN pip install apache-airflow-providers-amazon +ADD src/ /opt/airflow/dags diff --git a/pollution_v2/README.md b/pollution_v2/README.md new file mode 100644 index 00000000..4b150bdb --- /dev/null +++ b/pollution_v2/README.md @@ -0,0 +1,253 @@ + + +# AI as a Service + +This project contain the code for validation and pollution computing for the OpenDataHub data about A22 traffic. + +The TrafficData is periodically pulled from the A22 collection, data validation evalueted and the pollution data is estimated and pushed back on the OpenDataHub. + +## Project Structure + +![project structure](./documentation/UML Architecture.png) + +**Components**: + +- *Scheduler*: It schedules the periodic task to update the pollution data. +- *State*: TBD. +- *Pollution computer*: This task handles the computation of a batch of measures. It downloads the traffic data from the OpenDataHub (Using the TrafficMeasure connector), computes the pollution measures (using the Pollution Computation Model) and it uploads the new measure to the ODH using the PollutionMeasure connector. +- *Data validator*: This component downloads traffic data from ODH, validates them and upload them again into ODH. + +### Batch computation sequence + +The following sequence diagram describes how Airflow and the DAGs (validation or pollution computing) interact in order to process ODH data. + +Please note the following, apparently contrasting with Airflow capabilities of scheduling +DAGs in backfill mode. + +Due to: +1. ODH limitation (cannot write on ODH a record older than the ones already present), +2. the needing of backfill a new station inserted when the others are already up-to-date, + +we have to rely on internal dates management in order to be sure that only the latest unprocessed data is used as DAG input. + +1. First the scheduler starts the execution of a new _Validation_ or _Pollution Computation_ DAG. +2. Then the DAG activates the first task that retrieves the station list. +3. For each station the DAG runs a task in charge of process the single station: + 1. the task will download the latest data available, + 2. using the available data, the task computes the values, + 3. the task uploads the calculated values on ODH. +4. Finally, the DAG determine if on ODH there are more data to process and, in that case, triggers another DAG run to process them. + +In details, the following step describe how the pollution computation DAG works. + +1. First the scheduler starts the execution of a new `Pollution Computation DAG`. +2. Then the task will first, download the list of available TrafficSensor stations. A GET request to the `/v2/flat,node/TrafficSensor` endpoint will be used. +3. For each station and lane it will download the latest pollution data available for each class of vehicle class it downloads the last stored measure. Using a GET to the following endpoint `/v2/{representation}/{stationTypes}/{dataTypes}/latest`. +4. Using the available data, the `Pollution Computation DAG` identifies the new data to download for each lane station and vehicle class. +5. The `TrafficODHConnector` download the new batch of traffic data using the starting point identified in the previous step. Using a GET to the following endpoint `/v2/{representation}/{stationTypes}/{dataTypes}/{from}/{to}`. +6. The `PollutionComputationModel` computes the new PollutionMeasures and returns them to the main task. +7. Finally, the main task uploads the new PollutionMeasures to the ODH using the *PollutionODHConnector*. + +## How to use it + +### Setup the project + +1. Clone the repository +2. Create a virtual environment and activate it: +```commandline +python3 -m venv venv +source .venv/bin/activate +``` +3. Installing the requirements: +```commandline +pip install -r requirements.txt +``` +4. For a development environment is suggested to install and configure [pre-commit](https://pre-commit.com/). Pre-commit is a framework for managing and maintaining multi-language pre-commit hooks. The configuration available in this project will run some syntax check before each commit. +```commandline +pip install pre-commit +pre-commit install +``` + +### Project folders + +* ```airflow``` contains Airflow installation files (under .gitignore) +* ```config``` contains configuration files for tasks, e.g. validator +* ```dags```contains DAG of the project +* ```documentation``` contains UML diagrams describing the system +* ```sample_data``` contains any sample data useful to test tasks (under .gitignore); sample data for validator are available [here](https://drive.google.com/file/d/1aPFDXOCECvA_h6npYe_aZ0k8vxHTwlYy/view?usp=drive_link) +* ```src```contains source files +* ```test``` contains test files +* ```venv``` contains Python virtual environment (under .gitignore) + +### Setup Airflow + +1. Move to project folder (.) +2. Set Airflow Home +```commandline +mkdir ./airflow +export AIRFLOW_HOME=/pollution_v2/airflow +``` +3. Install Airflow running the following commands +```commandline +AIRFLOW_VERSION=2.8.1 +PYTHON_VERSION="$(python --version | cut -d " " -f 2 | cut -d "." -f 1-2)" +CONSTRAINT_URL="https://raw.githubusercontent.com/apache/airflow/constraints-${AIRFLOW_VERSION}/constraints-${PYTHON_VERSION}.txt" +pip install "apache-airflow==${AIRFLOW_VERSION}" --constraint "${CONSTRAINT_URL}" +``` +4. If needed (see console errors on first run, see below), install the following: +```commandline +pip install apache-airflow-providers-cncf-kubernetes +``` +5. Run Airflow Standalone +```commandline +airflow standalone +``` +6. Test it by accessing the Airflow UI: http://localhost:8080 and check files creation in ```./airflow``` (at least ```airflow.cfg```) +7. Trigger a few task instances (optional) +```commandline +# run your first task instance +airflow tasks test example_bash_operator runme_0 2015-01-01 +``` +```commandline +# backfill: when you may want to run the DAG for a specified historical period even when catchup is disabled, e.g. before the start_date +airflow dags backfill example_bash_operator --start-date 2015-01-01 --end-date 2015-01-02 + +# clear: after task failure, once errors have been fixed, you can re-run the tasks by clearing them for the scheduled date +airflow dags backfill example_bash_operator --start-date 2015-01-01 --end-date 2015-01-02 +``` +8. More commands (optional) + +Run scheduler alone +```commandline +airflow scheduler +``` +Run webserver alone +```commandline +airflow webserver +``` +9. Once Airflow is running on samples, change DAG folder in file ```./airflow/airflow.cfg``` +```commandline +dags_folder = /pollution_v2/src +``` +9. Once Airflow is running on samples, change DAG folder in file ```./airflow/airflow.cfg``` and skip examples loading +```commandline +dags_folder = /pollution_v2/src +load_examples = False +``` + +### Working with DAGs + +1. Check DAG consistency over Python +```commandline +python ./src/dags/.py +``` +```commandline +# if errors in importing modules, try adding src folder to PYTHONPATH +# see https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/modules_management.html +export PYTHONPATH=/pollution_v2/src +``` +2. Check DAG code processing time +```commandline +time python ./airflow/dags/.py +``` +3. List available DAGs +```commandline +airflow dags list +``` +4. Test DAG run +```commandline +airflow dags test pollution_computer +airflow dags test pollution_computer 2024-01-01 +``` + +### Working on Tasks + +1. List tasks in DAG +```commandline +airflow tasks list tutorial_of_mines +airflow tasks list tutorial_of_mines --tree +``` +2. Test single task from DAG +```commandline +airflow tasks test tutorial_of_mines print_date 2015-06-01 +``` + +### Resources +[Airflow best practices](https://airflow.apache.org/docs/apache-airflow/stable/best-practices.html) + +### Run/debug configuration + +1. Create a Python run/debug configuration named 'airflow standalone' or similar. +2. Select 'module' on drop-down list and fill the next field with 'airflow'. +3. Specify as Working directory the following: '/pollution_v2'. +4. Set the following environmental variables. + + +#### List of environmental variables for development + +| Name | Required | Description | Default | +|----------------------------------------|----------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------| +| AIRFLOW_HOME | Yes | Airflow home. | - | +| AIRFLOW_VAR_ODH_BASE_READER_URL | Yes | The base url for the ODH requests for reading data. | - | +| AIRFLOW_VAR_ODH_BASE_WRITER_URL | Yes | The base url for the ODH requests for writing data. | - | +| AIRFLOW_VAR_ODH_AUTHENTICATION_URL | Yes | The url for ODH authentication endpoints. | - | +| AIRFLOW_VAR_ODH_USERNAME | Yes | The username for the ODH authentication. | - | +| AIRFLOW_VAR_ODH_PASSWORD | Yes | The password for the ODH authentication. | - | +| AIRFLOW_VAR_ODH_CLIENT_ID | Yes | The client ID for the ODH authentication. | - | +| AIRFLOW_VAR_ODH_CLIENT_SECRET | Yes | The client secret for the ODH authentication. | - | +| AIRFLOW_VAR_ODH_GRANT_TYPE | Yes | The token grant type for the ODH authentication. It is possible to specify more types by separating them using `;`. | "password" | +| AIRFLOW_VAR_ODH_PAGINATION_SIZE | No | The pagination size for the get requests to ODH. Set it to `-1` to disable it. | 200 | +| AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE | No | The maximum size of the batch for each post request to ODH. If not present there is not a maximum batch size and all data will sent in a single call. | - | +| AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE | No | The maximum size (in days) of a batch to compute | 30 | +| AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE | No | The minimum starting date[time] in isoformat (up to one second level of precision, milliseconds for the from date field are not supported in ODH) for downloading data from ODH if no pollution measures are available. | 2018-01-01 | +| COMPUTATION_CHECKPOINT_REDIS_HOST | No | The redis host for the computation checkpoints. Set to enable the computation checkpoints | | +| COMPUTATION_CHECKPOINT_REDIS_PORT | No | The port for the redis server for the computation checkpoints | 6379 | +| COMPUTATION_CHECKPOINT_REDIS_DB | No | The DB number of the checkpoint redis server | 0 | +| DAG_POLLUTION_EXECUTION_CRONTAB | No | The crontab used to schedule pollution computation | 0 0 * * * | +| DAG_VALIDATION_EXECUTION_CRONTAB | No | The crontab used to schedule data validation | 0 0 * * * | +| AIRFLOW__CORE__REMOTE_LOGGING | No | The flag enabling remote logging (install `pip install apache-airflow-providers-amazon` if not present) | | +| AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER | No | The bucket name for remote logging | | +| AIRFLOW__CORE__REMOTE_LOG_CONN_ID | No | The remote logging connection id | | +| AIRFLOW__CORE__ENCRYPT_S3_LOGS | No | The flag for remote logs encryption | | +| AIRFLOW_CONN_MINIO_S3_CONN | No | The MinIO connetion parameters (if expressed as JSON it could be necessary to escape double quotes) | | +| NO_PROXY | Yes (on macOS) | Sets every URL to skip proxy (see [here](https://docs.python.org/3/library/urllib.request.html)) | - | | + +### Notes on Docker deployment + +[Main reference](https://airflow.apache.org/docs/apache-airflow/stable/howto/docker-compose/index.html) + +[Useful reference](https://copyprogramming.com/howto/how-to-install-packages-in-airflow-docker-compose) + +See the following files: + * `Dockerfile`: definition of custom image with correct image reference and requirements installation instructions + * `docker-compose.yaml`: service definitions: + * `airflow-scheduler` - the scheduler monitors all tasks and DAGs, then triggers the task instances once their dependencies are complete + * `airflow-webserver` - the webserver is available at http://localhost:8080 + * `airflow-worker` - the worker that executes the tasks given by the scheduler + * `airflow-triggerer` - the triggerer runs an event loop for deferrable tasks + * `airflow-init` - the initialization service + * `postgres` - the database + * `redis` - the redis - broker that forwards messages from scheduler to worker. +* `airflow.sh`: optional wrapper scripts that will allow you to run commands with a simpler command + +Use the following commands (could be necessary to use `docker-compose` on older Docker Compose versions): + * `docker compose up airflow-init`: runs database migrations and create the first user account + * `docker compose up`: starts all services + * `docker compose up --detach`: starts all services in detached mode + * `docker compose --profile flower up`: starts all services plus the flower app for monitoring the environment + * `docker compose down --volumes --remove-orphans`: cleans-up the environment + * `docker compose down --volumes --rmi all`: stops and deletes containers, deletes volumes with database data and downloads images + + + +#### Computation checkpoint +By setting the *COMPUTATION_CHECKPOINT_REDIS_HOST* variable to a valid Redis server, the computation checkpoints will be enabled. + +The computation checkpoint store the final date of the last computed interval of data for a station. The checkpoint is used +as a starting date for the next computation if the station has no pollution data associated. +This feature has been implemented to avoid attempting a recalculation, at each execution of the task, of all +the historical data of the stations that have only invalid data for this library diff --git a/pollution_v2/airflow.sh b/pollution_v2/airflow.sh new file mode 100755 index 00000000..1fcf2269 --- /dev/null +++ b/pollution_v2/airflow.sh @@ -0,0 +1,43 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: CC0-1.0 + +#!/usr/bin/env bash +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +# +# Run airflow command in container +# + +PROJECT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" + +set -euo pipefail + +# check is there a docker-compose command, if not, use "docker compose" instead. +if [ -x "$(command -v docker-compose)" ]; then + dc=docker-compose +else + dc="docker compose" +fi + +export COMPOSE_FILE="${PROJECT_DIR}/docker-compose.yaml" +if [ $# -gt 0 ]; then + exec $dc run --rm airflow-cli "${@}" +else + exec $dc run --rm airflow-cli +fi diff --git a/pollution_v2/config/validator.yaml b/pollution_v2/config/validator.yaml new file mode 100644 index 00000000..c873b811 --- /dev/null +++ b/pollution_v2/config/validator.yaml @@ -0,0 +1,22 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +# Percorso del database +db_path: '../../sample_data/input/odh.db' +day: '2023-12-06' +plot: False +# Parametri del Layer 1: +# valori superiore e inferiore dello Z-score oltre i quali il dato non è valido +# null = nessun limite +# n: numero di stazioni a monte e a valle da considerare nel caso non ci siano dati storici +Layer1: + low: -2.5 + high: null + n: 2 +# Parametri del Layer 1.1: +# valori superiore e inferiore dello Z-score oltre i quali il dato non è valido +# null = nessun limite +Layer1_1: + low: -2.5 + high: +2.5 diff --git a/pollution_v2/docker-compose.yaml b/pollution_v2/docker-compose.yaml new file mode 100644 index 00000000..49aa4e4d --- /dev/null +++ b/pollution_v2/docker-compose.yaml @@ -0,0 +1,302 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: CC0-1.0 + +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +# + +# Basic Airflow cluster configuration for CeleryExecutor with Redis and PostgreSQL. +# +# WARNING: This configuration is for local development. Do not use it in a production deployment. +# +# This configuration supports basic configuration using environment variables or an .env file +# The following variables are supported: +# +# AIRFLOW_IMAGE_NAME - Docker image name used to run Airflow. +# Default: apache/airflow:2.8.1 +# AIRFLOW_UID - User ID in Airflow containers +# Default: 50000 +# AIRFLOW_PROJ_DIR - Base path to which all the files will be volumed. +# Default: . +# Those configurations are useful mostly in case of standalone testing/running Airflow in test/try-out mode +# +# _AIRFLOW_WWW_USER_USERNAME - Username for the administrator account (if requested). +# Default: airflow +# _AIRFLOW_WWW_USER_PASSWORD - Password for the administrator account (if requested). +# Default: airflow +# _PIP_ADDITIONAL_REQUIREMENTS - Additional PIP requirements to add when starting all containers. +# Use this option ONLY for quick checks. Installing requirements at container +# startup is done EVERY TIME the service is started. +# A better way is to build a custom image or extend the official image +# as described in https://airflow.apache.org/docs/docker-stack/build.html. +# Default: '' +# +# Feel free to modify this file to suit your needs. +--- +x-airflow-common: + &airflow-common + # In order to add custom dependencies or upgrade provider packages you can use your extended image. + # Comment the image line, place your Dockerfile in the directory where you placed the docker-compose.yaml + # and uncomment the "build" line below, Then run `docker-compose build` to build the images. + build: . + environment: + &airflow-common-env + AIRFLOW__CORE__EXECUTOR: CeleryExecutor + AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow + AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://airflow:airflow@postgres/airflow + AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0 + AIRFLOW__CORE__FERNET_KEY: '' + AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true' + AIRFLOW__CORE__LOAD_EXAMPLES: 'false' + AIRFLOW__API__AUTH_BACKENDS: 'airflow.api.auth.backend.basic_auth,airflow.api.auth.backend.session' + # yamllint disable rule:line-length + # Use simple http server on scheduler for health checks + # See https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/logging-monitoring/check-health.html#scheduler-health-check-server + # yamllint enable rule:line-length + AIRFLOW__SCHEDULER__ENABLE_HEALTH_CHECK: 'true' + # WARNING: Use _PIP_ADDITIONAL_REQUIREMENTS option ONLY for a quick checks + # for other purpose (development, test and especially production usage) build/extend Airflow image. + _PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-} + AIRFLOW_VAR_ODH_AUTHENTICATION_URL: '' + AIRFLOW_VAR_ODH_BASE_READER_URL: '' + AIRFLOW_VAR_ODH_BASE_WRITER_URL: '' + AIRFLOW_VAR_ODH_CLIENT_ID: '' + AIRFLOW_VAR_ODH_CLIENT_SECRET: '' + AIRFLOW_VAR_ODH_GRANT_TYPE: '' + AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE: '10000' + AIRFLOW_VAR_ODH_PAGINATION_SIZE: '10000' + AIRFLOW_VAR_ODH_PASSWORD: '' + AIRFLOW_VAR_ODH_USERNAME: '' + AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE: '' + AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: '' + AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: '' + AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: '' + AIRFLOW__CORE__REMOTE_LOGGING: '' + AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER: '' + AIRFLOW__CORE__REMOTE_LOG_CONN_ID: '' + AIRFLOW__CORE__ENCRYPT_S3_LOGS: '' + AIRFLOW_CONN_MINIO_S3_CONN: '' + NO_PROXY: '*' + volumes: + - ${AIRFLOW_PROJ_DIR:-.}/src:/opt/airflow/dags + - ${AIRFLOW_PROJ_DIR:-.}/airflow/logs:/opt/airflow/logs + user: "${AIRFLOW_UID:-50000}:0" + depends_on: + &airflow-common-depends-on + redis: + condition: service_healthy + postgres: + condition: service_healthy + +services: + postgres: + image: postgres:13 + environment: + POSTGRES_USER: airflow + POSTGRES_PASSWORD: airflow + POSTGRES_DB: airflow + volumes: + - postgres-db-volume:/var/lib/postgresql/data + healthcheck: + test: ["CMD", "pg_isready", "-U", "airflow"] + interval: 10s + retries: 5 + start_period: 5s + restart: always + + redis: + image: redis:latest + expose: + - 6379 + healthcheck: + test: ["CMD", "redis-cli", "ping"] + interval: 10s + timeout: 30s + retries: 50 + start_period: 30s + restart: always + + airflow-webserver: + <<: *airflow-common + command: webserver + ports: + - "8080:8080" + healthcheck: + test: ["CMD", "curl", "--fail", "http://localhost:8080/health"] + interval: 30s + timeout: 10s + retries: 5 + start_period: 30s + restart: always + depends_on: + <<: *airflow-common-depends-on + airflow-init: + condition: service_completed_successfully + + airflow-scheduler: + <<: *airflow-common + command: scheduler + healthcheck: + test: ["CMD", "curl", "--fail", "http://localhost:8974/health"] + interval: 30s + timeout: 10s + retries: 5 + start_period: 30s + restart: always + depends_on: + <<: *airflow-common-depends-on + airflow-init: + condition: service_completed_successfully + + airflow-worker: + <<: *airflow-common + command: celery worker + healthcheck: + # yamllint disable rule:line-length + test: + - "CMD-SHELL" + - 'celery --app airflow.providers.celery.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}" || celery --app airflow.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}"' + interval: 30s + timeout: 10s + retries: 5 + start_period: 30s + environment: + <<: *airflow-common-env + # Required to handle warm shutdown of the celery workers properly + # See https://airflow.apache.org/docs/docker-stack/entrypoint.html#signal-propagation + DUMB_INIT_SETSID: "0" + restart: always + depends_on: + <<: *airflow-common-depends-on + airflow-init: + condition: service_completed_successfully + + airflow-triggerer: + <<: *airflow-common + command: triggerer + healthcheck: + test: ["CMD-SHELL", 'airflow jobs check --job-type TriggererJob --hostname "$${HOSTNAME}"'] + interval: 30s + timeout: 10s + retries: 5 + start_period: 30s + restart: always + depends_on: + <<: *airflow-common-depends-on + airflow-init: + condition: service_completed_successfully + + airflow-init: + <<: *airflow-common + entrypoint: /bin/bash + # yamllint disable rule:line-length + command: + - -c + - | + if [[ -z "${AIRFLOW_UID}" ]]; then + echo + echo -e "\033[1;33mWARNING!!!: AIRFLOW_UID not set!\e[0m" + echo "If you are on Linux, you SHOULD follow the instructions below to set " + echo "AIRFLOW_UID environment variable, otherwise files will be owned by root." + echo "For other operating systems you can get rid of the warning with manually created .env file:" + echo " See: https://airflow.apache.org/docs/apache-airflow/stable/howto/docker-compose/index.html#setting-the-right-airflow-user" + echo + fi + one_meg=1048576 + mem_available=$$(($$(getconf _PHYS_PAGES) * $$(getconf PAGE_SIZE) / one_meg)) + cpus_available=$$(grep -cE 'cpu[0-9]+' /proc/stat) + disk_available=$$(df / | tail -1 | awk '{print $$4}') + warning_resources="false" + if (( mem_available < 4000 )) ; then + echo + echo -e "\033[1;33mWARNING!!!: Not enough memory available for Docker.\e[0m" + echo "At least 4GB of memory required. You have $$(numfmt --to iec $$((mem_available * one_meg)))" + echo + warning_resources="true" + fi + if (( cpus_available < 2 )); then + echo + echo -e "\033[1;33mWARNING!!!: Not enough CPUS available for Docker.\e[0m" + echo "At least 2 CPUs recommended. You have $${cpus_available}" + echo + warning_resources="true" + fi + if (( disk_available < one_meg * 10 )); then + echo + echo -e "\033[1;33mWARNING!!!: Not enough Disk space available for Docker.\e[0m" + echo "At least 10 GBs recommended. You have $$(numfmt --to iec $$((disk_available * 1024 )))" + echo + warning_resources="true" + fi + if [[ $${warning_resources} == "true" ]]; then + echo + echo -e "\033[1;33mWARNING!!!: You have not enough resources to run Airflow (see above)!\e[0m" + echo "Please follow the instructions to increase amount of resources available:" + echo " https://airflow.apache.org/docs/apache-airflow/stable/howto/docker-compose/index.html#before-you-begin" + echo + fi + exec /entrypoint airflow version + # yamllint enable rule:line-length + environment: + <<: *airflow-common-env + _AIRFLOW_DB_MIGRATE: 'true' + _AIRFLOW_WWW_USER_CREATE: 'true' + _AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow} + _AIRFLOW_WWW_USER_PASSWORD: ${_AIRFLOW_WWW_USER_PASSWORD:-airflow} + _PIP_ADDITIONAL_REQUIREMENTS: '' + user: "0:0" + volumes: + - ${AIRFLOW_PROJ_DIR:-.}:/sources + + airflow-cli: + <<: *airflow-common + profiles: + - debug + environment: + <<: *airflow-common-env + CONNECTION_CHECK_MAX_COUNT: "0" + # Workaround for entrypoint issue. See: https://github.com/apache/airflow/issues/16252 + command: + - bash + - -c + - airflow + + # You can enable flower by adding "--profile flower" option e.g. docker-compose --profile flower up + # or by explicitly targeted on the command line e.g. docker-compose up flower. + # See: https://docs.docker.com/compose/profiles/ + flower: + <<: *airflow-common + command: celery flower + profiles: + - flower + ports: + - "5555:5555" + healthcheck: + test: ["CMD", "curl", "--fail", "http://localhost:5555/"] + interval: 30s + timeout: 10s + retries: 5 + start_period: 30s + restart: always + depends_on: + <<: *airflow-common-depends-on + airflow-init: + condition: service_completed_successfully + +volumes: + postgres-db-volume: diff --git a/pollution_v2/documentation/UML Architecture Validation.png b/pollution_v2/documentation/UML Architecture Validation.png new file mode 100644 index 0000000000000000000000000000000000000000..14dedf8f6fcfdfecae21d4f9de444935e529804f GIT binary patch literal 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Algoritmo di validazione CISMA-ODH-UH.pdf
Algoritmo di validazione CISMA-ODH-UH.pdf
dato valido
dato valido
dato non valido
dato non valido
ODH
ODH
?
?
Layer 1
Layer 1
Layer 2
Layer 2
Layer 3
Layer 3
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+1,3 @@ + + +
validated data
validated data
<<daily>>
Data validator
<<daily>>...
transiti totali
periodo 1d
per corsia e stazione
transiti totali...
transiti (no velocità)
periodo 600s
per corsia, stazione e veicolo
transiti (no velocità)...
metadati
chilometraggio
metadati...
ODH
ODH
pollution data
pollution data
<<daily>>
Pollution computer
<<daily>>...
validated data
validated data
Beat Scheduler
Beat Scheduler
starts by datetime
starts by datetime
starts by datetime
starts by datetime
Scheduler
Scheduler
State
(if needed)
State...
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IXgOT?57!&lyZ`_I literal 0 HcmV?d00001 diff --git a/pollution_v2/documentation/UML Sequence diagram.svg b/pollution_v2/documentation/UML Sequence diagram.svg new file mode 100644 index 00000000..3c14c07d --- /dev/null +++ b/pollution_v2/documentation/UML Sequence diagram.svg @@ -0,0 +1,3 @@ + + +
Airflow
Airflow
task station list
task station list
task process station
task process station
DAG
DAG
DAG Scheduler
DAG Scheduler
starts
starts
starts each day
starts each day
station list
station list
get station list
get station list
run outcome
run outcome
The following sequence diagram applies both to validation and pollution computing DAGs
The following sequence diagram applies bo...
activate
activate
task check more data
task check more data
station list
station list
process single station
process single station
confirmation
confirmation
get first date
get first date
first available date
first available date
determine
date range
determine...
get data
get data
data
data
compute
compute
upload data
upload data
confirmation
confirmation
ODH
ODH
check if more data available
check if more data available
first available date
first available date
check data available
check data available
are there more data
are there more data
self-trigger
if needed
self-trigger...
\ No newline at end of file diff --git a/pollution_v2/requirements.txt b/pollution_v2/requirements.txt new file mode 100644 index 00000000..8f931aa3 --- /dev/null +++ b/pollution_v2/requirements.txt @@ -0,0 +1,17 @@ +celery==5.3.6 +redis==4.3.4 +sentry-sdk==1.9.9 +blinker==1.5 +python-keycloak==2.5.0 +requests~=2.28 +dateutils==0.6.12 +python-dateutil==2.8.2 +pandas==2.2.0 +numpy==1.26.0 +pytz==2022.6 +pendulum~=3.0.0 +matplotlib==3.5.2 +holidays==0.38 + +pytest~=8.0.0 +PyYAML~=6.0.1 diff --git a/pollution_v2/src/.airflowignore b/pollution_v2/src/.airflowignore new file mode 100644 index 00000000..069e72be --- /dev/null +++ b/pollution_v2/src/.airflowignore @@ -0,0 +1,7 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +pollution_connector/.* +validator/.* +tests/.* diff --git a/pollution_v2/src/common/__init__.py b/pollution_v2/src/common/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pollution_v2/src/common/connector/__init__.py b/pollution_v2/src/common/connector/__init__.py new file mode 100644 index 00000000..a1097782 --- /dev/null +++ b/pollution_v2/src/common/connector/__init__.py @@ -0,0 +1,3 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution_v2/src/common/connector/collector.py b/pollution_v2/src/common/connector/collector.py new file mode 100644 index 00000000..cd188337 --- /dev/null +++ b/pollution_v2/src/common/connector/collector.py @@ -0,0 +1,70 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +from common.connector.pollution import PollutionODHConnector +from common.connector.traffic import TrafficODHConnector +from common.settings import ODH_AUTHENTICATION_URL, ODH_USERNAME, ODH_PASSWORD, ODH_CLIENT_ID, \ + ODH_CLIENT_SECRET, ODH_PAGINATION_SIZE, REQUESTS_TIMEOUT, REQUESTS_MAX_RETRIES, REQUESTS_SLEEP_TIME, \ + REQUESTS_RETRY_SLEEP_TIME, ODH_BASE_READER_URL, ODH_BASE_WRITER_URL, ODH_GRANT_TYPE, ODH_MAX_POST_BATCH_SIZE + + +class ConnectorCollector: + + def __init__(self, traffic: TrafficODHConnector, pollution: PollutionODHConnector): + self.traffic = traffic + self.pollution = pollution + + @staticmethod + def build_from_env() -> ConnectorCollector: + base_reader_url = ODH_BASE_READER_URL + base_writer_url = ODH_BASE_WRITER_URL + authentication_url = ODH_AUTHENTICATION_URL + user_name = ODH_USERNAME + password = ODH_PASSWORD + client_id = ODH_CLIENT_ID + client_secret = ODH_CLIENT_SECRET + grant_type = ODH_GRANT_TYPE + pagination_size = ODH_PAGINATION_SIZE + max_post_batch_size = ODH_MAX_POST_BATCH_SIZE + requests_timeout = REQUESTS_TIMEOUT + requests_max_retries = REQUESTS_MAX_RETRIES + requests_sleep_time = REQUESTS_SLEEP_TIME + requests_retry_sleep_time = REQUESTS_RETRY_SLEEP_TIME + + return ConnectorCollector( + traffic=TrafficODHConnector( + base_reader_url=base_reader_url, + base_writer_url=base_writer_url, + authentication_url=authentication_url, + username=user_name, + password=password, + client_id=client_id, + client_secret=client_secret, + grant_type=grant_type, + pagination_size=pagination_size, + max_post_batch_size=max_post_batch_size, + requests_timeout=requests_timeout, + requests_max_retries=requests_max_retries, + requests_sleep_time=requests_sleep_time, + requests_retry_sleep_time=requests_retry_sleep_time + ), + pollution=PollutionODHConnector( + base_reader_url=base_reader_url, + base_writer_url=base_writer_url, + authentication_url=authentication_url, + username=user_name, + password=password, + client_id=client_id, + client_secret=client_secret, + grant_type=grant_type, + pagination_size=pagination_size, + max_post_batch_size=max_post_batch_size, + requests_timeout=requests_timeout, + requests_max_retries=requests_max_retries, + requests_sleep_time=requests_sleep_time, + requests_retry_sleep_time=requests_retry_sleep_time + ) + ) diff --git a/pollution_v2/src/common/connector/common.py b/pollution_v2/src/common/connector/common.py new file mode 100644 index 00000000..1399aa4f --- /dev/null +++ b/pollution_v2/src/common/connector/common.py @@ -0,0 +1,522 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +import logging +import time +from abc import ABC, abstractmethod +from dataclasses import dataclass +from datetime import datetime, timedelta +from typing import Optional, Generic, List + +import requests +from keycloak import KeycloakOpenID + +from common.data_model.common import MeasureType, StationType, Station, Provenance, DataType + +logger = logging.getLogger("pollution_connector.connector.common") + + +@dataclass +class Token: + access_token: str + expires_in: int + refresh_expires_in: int + refresh_token: Optional[str] + token_type: str + not_before_policy: str + session_state: Optional[str] + scope: List[str] + created_at: datetime + + def to_repr(self) -> dict: + return { + "access_token": self.access_token, + "expires_in": self.expires_in, + "refresh_expires_in": self.refresh_expires_in, + "refresh_token": self.refresh_token, + "token_type": self.token_type, + "not-before-policy": self.not_before_policy, + "session_state": self.session_state, + "scope": " ".join(self.scope), + "created_at": datetime.now().isoformat() + } + + @staticmethod + def from_repr(raw_data: dict) -> Token: + return Token( + access_token=raw_data["access_token"], + expires_in=raw_data["expires_in"], + refresh_expires_in=raw_data["refresh_expires_in"], + refresh_token=raw_data.get("refresh_token"), + token_type=raw_data["token_type"], + not_before_policy=raw_data["not-before-policy"], + session_state=raw_data.get("session_state"), + scope=raw_data["scope"].split(" "), + created_at=datetime.fromisoformat(raw_data["created_at"]) if raw_data.get("created_at") else datetime.now() + ) + + @property + def is_expired(self) -> bool: + """ + Check if the access token is expired. + """ + return (self.created_at + timedelta(seconds=self.expires_in)) < datetime.now() + + @property + def is_refresh_toke_expired(self) -> bool: + """ + Check if the refresh token is expired. + """ + return (self.created_at + timedelta(seconds=self.refresh_expires_in)) < datetime.now() + + +class MaximumRetryExceeded(Exception): + + def __init__(self) -> None: + super().__init__("Exceeded the maximum number of retry retries for the request.") + + +class ApiException(Exception): + + def __init__(self, message: str, code: int) -> None: + super().__init__(f"Error in performing the request, server respond with [{code}], message: [{message}]") + self.code = code + self.message = message + + +class ODHBaseConnector(ABC, Generic[MeasureType, StationType]): + + def __init__(self, + base_reader_url: str, + base_writer_url: str, + station_type: str, + measure_types: List[str], + authentication_url: str, + username: Optional[str], + password: Optional[str], + client_id: Optional[str], + client_secret: Optional[str], + grant_type: List[str], + pagination_size: int, + max_post_batch_size: Optional[int], + requests_timeout: float, + requests_max_retries: int, + requests_sleep_time: float, + requests_retry_sleep_time: float): + + self._authentication_url = authentication_url + self._base_reader_url = base_reader_url + self._base_writer_url = base_writer_url + self._station_type = station_type + self._measure_types = measure_types + self._username = username + self._password = password + self._client_id = client_id + self._client_secret = client_secret + self._grant_type = grant_type + self._pagination_size = pagination_size + self._max_batch_size = max_post_batch_size + self._requests_timeout = requests_timeout + self._requests_max_retries = requests_max_retries + self._requests_sleep_time = requests_sleep_time + self._requests_retry_sleep_time = requests_retry_sleep_time + + self._keycloak_openid = KeycloakOpenID(server_url=self._authentication_url, + client_id=self._client_id, + realm_name="noi", + client_secret_key=self._client_secret) + + self._token: Optional[Token] = None + + def _refresh_token(self) -> None: + """ + Refresh current token or request a new one. + """ + if not self._token or self._token.is_refresh_toke_expired: + logger.info("Requesting new token") + self._token = Token.from_repr( + self._keycloak_openid.token(username=self._username, password=self._password, grant_type=self._grant_type) + ) + elif self._token.refresh_token: + logger.info("Refresh current access token") + self._token = Token.from_repr( + self._keycloak_openid.refresh_token(self._token.refresh_token) + ) + + def _get_token(self) -> Token: + """ + Retrieve the access token or request a new one if needed. + """ + if self._token is None or self._token.is_expired: + self._refresh_token() + return self._token + + @staticmethod + def _get_authentication_header(token: Token) -> dict: + """ + Get the authentication header to be used in the requests. + """ + return { + "Content-Type": "application/json", + "Authorization": f"bearer {token.access_token}" + } + + def _get_request(self, path: str, query_params: Optional[dict] = None) -> dict or list: + """ + Perform a get request to the ODH. + + :param path: + :param query_params: + :return: A dictionary witch contains the decoded JSON body of the response + :raise: JSONDecodeError if the body is not JSON encoded + :raise: APIException if the server responds with a code different from 200 + :raise: MaximumRetryExceeded if the maximum re-tries are exceeded + """ + token = self._get_token() + + if not query_params: + query_params = {} + + call_counter = 0 + while call_counter <= self._requests_max_retries: + call_counter += 1 + try: + response = requests.get( + f"{self._base_reader_url}{path}", + headers=self._get_authentication_header(token), + params=query_params, + timeout=self._requests_timeout + ) + if response.status_code == 200: + return response.json() + else: + raise ApiException(message=response.content.decode("utf-8"), code=response.status_code) + except ApiException as e: + raise e + except Exception as e: + logger.exception("Exception in getting data from ODH", exc_info=e) + if call_counter <= self._requests_max_retries: + time.sleep(self._requests_retry_sleep_time) + + raise MaximumRetryExceeded() + + def _get_result_page(self, path: str, limit: int, offset: int, query_params: Optional[dict] = None) -> (list, int, int): + """ + Request a result page from a paginated endpoint. + + :param path: + :param limit: + :param offset: + :param query_params: Any additional query param + :return: A tuple with the following structure (result list, current limit, current offset) + """ + if not query_params: + query_params = {} + query_params.update({ + "limit": limit, + "offset": offset + }) + + raw_data = self._get_request(path, query_params) + + if not isinstance(raw_data, dict): + raise ValueError("Unable to handle the server response") + + try: + return raw_data["data"], raw_data["limit"], raw_data["offset"] + except KeyError as e: + raise ValueError(f"Unable to build a result page from server response: {e}") + + def _get_result_list(self, path: str, query_params: Optional[dict] = None) -> List[dict]: + """ + Request the result list from an endpoint. + + :param path: + :param query_params: Any additional query param + :return: The result list + """ + limit = self._pagination_size + offset = 0 + completed = False + + results: List[dict] = [] + + while not completed: + if limit == -1: + logger.debug("Retrieving all elements") + else: + logger.debug(f"Retrieving page [{offset} - {offset+limit}]") + + new_results, limit, offset = self._get_result_page(path, limit=limit, offset=offset, query_params=query_params) + + results.extend(new_results) + if limit == -1: + completed = True + else: + if len(new_results) == limit: + offset += limit + time.sleep(self._requests_sleep_time) + else: + completed = True + + return results + + @staticmethod + @abstractmethod + def build_station(raw_station: dict) -> StationType: + """ + Build a station from ODH representation. + + :param raw_station: A dictionary which contains the ODH json representation of a station + :return: + """ + raise NotImplementedError + + @staticmethod + @abstractmethod + def build_measure(raw_measure: dict) -> MeasureType: + """ + Build a measure from ODH representation. + + :param raw_measure: A dictionary which contains the ODH json representation of a measure + :return: + """ + raise NotImplementedError + + def get_station_list(self) -> list[StationType]: + """ + Retrieve the list of all the available stations. + """ + logger.info(f"Retrieving station list for type [{self._station_type}]") + raw_stations = self._get_result_list(f"/v2/flat,node/{self._station_type}") + + logger.info(f"Retrieved [{len(raw_stations)}] stations") + return [self.build_station(raw_station) for raw_station in raw_stations] + + def get_latest_measures(self, station: Optional[Station or str] = None) -> List[MeasureType]: + """ + Retrieve the last measure for the connector DataType. + + :param station: If set, it is possible to retrieve only the measures for the given station. It can be a string + representing the station code or a Station object. + :return: The list of measures + """ + query_params = {} + + if station: + if isinstance(station, str): + code = station + elif isinstance(station, Station): + code = station.code + else: + raise TypeError(f"Unable to handle a parameter of type [{type(station)}] as station") + query_params["where"] = f'scode.eq."{code}"' + logger.info(f"Retrieving latest measures for station [{code}]") + else: + logger.info("Retrieving latest measures for all stations") + + raw_measures = self._get_result_list( + path=f"/v2/flat,node/{self._station_type}/{','.join(self._measure_types)}/latest", + query_params=query_params + ) + + return [self.build_measure(raw_measure) for raw_measure in raw_measures] + + def get_measures(self, from_date: datetime, to_date: datetime, station: Optional[Station or str] = None) -> List[MeasureType]: + """ + Retrieve the measures for the connector DataType in the given interval. + + :param from_date: The starting date of the interval + :param to_date: The end date of the interval + :param station: If set, it is possible to retrieve only the measures for the given station. It can be a string + representing the station code or a Station object. + :return: the list of Measures + """ + + query_params = {} + + iso_from_date = from_date.isoformat(timespec="milliseconds") + iso_to_date = to_date.isoformat(timespec="milliseconds") + + if station: + if isinstance(station, str): + code = station + elif isinstance(station, Station): + code = station.code + else: + raise TypeError(f"Unable to handle a parameter of type [{type(station)}] as station") + query_params["where"] = f'scode.eq."{code}"' + logger.info(f"Retrieving measures from date [{iso_from_date}] to date [{iso_to_date}] for station [{code}]") + else: + logger.info(f"Retrieving measures from date [{iso_from_date}] to date [{iso_to_date}] for all stations") + + raw_measures = self._get_result_list( + path=f"/v2/flat,node/{self._station_type}/{','.join(self._measure_types)}/{iso_from_date}/{iso_to_date}", + query_params=query_params + ) + + return [self.build_measure(raw_measure) for raw_measure in raw_measures] + + def _post_request(self, path: str, raw_data: dict or list, query_params: Optional[dict] = None) -> str or dict or list: + """ + Perform a post request to the ODH. + + :param path: + :param query_params: + :return: A dictionary witch contains the decoded JSON body of the response + :raise: JSONDecodeError if the body is not JSON encoded + :raise: APIException if the server responds with a code different from 201 + :raise: MaximumRetryExceeded if the maximum re-tries are exceeded + """ + token = self._get_token() + + if not query_params: + query_params = {} + + call_counter = 0 + while call_counter <= self._requests_max_retries: + call_counter += 1 + try: + response = requests.post( + f"{self._base_writer_url}{path}", + json=raw_data, + headers=self._get_authentication_header(token), + params=query_params, + timeout=self._requests_timeout + ) + if response.status_code in [200, 201]: + try: # ODH seems that id not returning a json for post requests but a string + return response.json() + except requests.exceptions.JSONDecodeError: + return response.text + else: + raise ApiException(message=response.content.decode("utf-8"), code=response.status_code) + except ApiException as e: + raise e + except Exception as e: + logger.exception("Exception in getting data from ODH", exc_info=e) + if call_counter <= self._requests_max_retries: + time.sleep(self._requests_retry_sleep_time) + + raise MaximumRetryExceeded() + + def post_provenance(self, provenance: Provenance) -> str: + """ + Create a provenance (if it is already present it will not be duplicated) and get its id. + + :param provenance: The provenance to be created. + :return: the id of the created provenance. + """ + logger.info("Creating provenance") + provenance_id = self._post_request("/json/provenance", provenance.to_odh_repr()) + return provenance_id + + def _post_data_type_batch(self, data_types: List[DataType], provenance: Provenance) -> None: + """ + Create a batch of data types (if a data type with the same name is already present it will be updated). + + :param data_types: The data types to be created. + :param provenance: The provenance related to the data type to be created. + """ + logger.debug("Creating a batch of data types") + self._post_request("/json/syncDataTypes", + [data_type.to_odh_repr() for data_type in data_types], + query_params={ + "stationType": self._station_type, + "prn": provenance.data_collector, + "prv": provenance.data_collector_version + }) + + def post_data_types(self, data_types: List[DataType], provenance: Provenance) -> None: + """ + Create data types (if a data type with the same name is already present it will be updated). + + :param data_types: The data types to be created. + :param provenance: The provenance related to the data type to be created. + """ + logger.info("Creating data types") + if not self._max_batch_size or (self._max_batch_size and self._max_batch_size >= len(data_types)): + self._post_data_type_batch(data_types, provenance) + else: + for index in range(len(data_types) // self._max_batch_size + 1): + if index < len(data_types) // self._max_batch_size: + self._post_data_type_batch(data_types[index * self._max_batch_size: (index + 1) * self._max_batch_size], provenance) + else: + if len(data_types) > index * self._max_batch_size: + self._post_data_type_batch(data_types[index * self._max_batch_size:], provenance) + + def _post_measure_batch(self, measures: List[MeasureType]) -> None: + """ + Create a batch of measures (if a measure is already present with a newer valid time it will be ignored). + + :param measures: The measures to be created. + """ + + # This method accepts the measures and then subdivides them by provenance id, station code and data type + # { + # : { + # : { + # : [measures list] + # } + # } + # } + + logger.debug("Creating a batch of measures") + measures_dict = {} + for measure in measures: + if measure.provenance.provenance_id not in measures_dict: + measures_dict[measure.provenance.provenance_id] = {} + + if measure.station.code not in measures_dict[measure.provenance.provenance_id]: + measures_dict[measure.provenance.provenance_id][measure.station.code] = {} + + if measure.data_type.name not in measures_dict[measure.provenance.provenance_id][measure.station.code]: + measures_dict[measure.provenance.provenance_id][measure.station.code][measure.data_type.name] = [measure] + else: + measures_dict[measure.provenance.provenance_id][measure.station.code][measure.data_type.name].append(measure) + + if len(measures_dict.keys()) > 1: + logger.error("Measures have more than one provenance") + + for provenance_id in measures_dict: + data_map = { + "name": "(default)", + "branch": {}, + "data": [], + "provenance": provenance_id + } + for station_code in measures_dict[provenance_id]: + data_map["branch"][station_code] = { + "name": "(default)", + "branch": {}, + "data": [] + } + for data_type_name in measures_dict[provenance_id][station_code]: + data_map["branch"][station_code]["branch"][data_type_name] = { + "name": "(default)", + "branch": {}, + "data": [data_point.to_odh_repr() for data_point in measures_dict[provenance_id][station_code][data_type_name]] # Send data to ODH in chronological order + } + + self._post_request(f"/json/pushRecords/{self._station_type}", data_map) + + def post_measures(self, measures: List[MeasureType]) -> None: + """ + Create measures (if a measure is already present with a newer valid time it will be ignored). + + :param measures: The measures to be created. + """ + logger.info("Creating measures") + measures.sort(key=lambda x: x.valid_time) # Send data to ODH in chronological order + if not self._max_batch_size or (self._max_batch_size and self._max_batch_size >= len(measures)): + self._post_measure_batch(measures) + else: + for index in range(len(measures) // self._max_batch_size + 1): + if index < len(measures) // self._max_batch_size: + self._post_measure_batch(measures[index * self._max_batch_size: (index + 1) * self._max_batch_size]) + else: + if len(measures) > index * self._max_batch_size: + self._post_measure_batch(measures[index * self._max_batch_size:]) diff --git a/pollution_v2/src/common/connector/pollution.py b/pollution_v2/src/common/connector/pollution.py new file mode 100644 index 00000000..023beb87 --- /dev/null +++ b/pollution_v2/src/common/connector/pollution.py @@ -0,0 +1,59 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +from typing import Optional, List + +from common.connector.common import ODHBaseConnector +from common.data_model.pollution import PollutionMeasure +from common.data_model.traffic import TrafficSensorStation + + +class PollutionODHConnector(ODHBaseConnector[PollutionMeasure, TrafficSensorStation]): + + def __init__(self, + base_reader_url: str, + base_writer_url: str, + authentication_url: str, + username: Optional[str], + password: Optional[str], + client_id: Optional[str], + client_secret: Optional[str], + grant_type: List[str], + pagination_size: int, + max_post_batch_size: Optional[int], + requests_timeout: float, + requests_max_retries: int, + requests_sleep_time: float, + requests_retry_sleep_time: float) -> None: + + station_type = "TrafficSensor" + measure_types = PollutionMeasure.get_pollution_data_types() + measure_types = [measure_type.name for measure_type in measure_types] + + super().__init__(base_reader_url, + base_writer_url, + station_type, + measure_types, + authentication_url, + username, + password, + client_id, + client_secret, + grant_type, + pagination_size, + max_post_batch_size, + requests_timeout, + requests_max_retries, + requests_sleep_time, + requests_retry_sleep_time) + + @staticmethod + def build_station(raw_station: dict) -> TrafficSensorStation: + return TrafficSensorStation.from_odh_repr(raw_station) + + @staticmethod + def build_measure(raw_measure: dict) -> PollutionMeasure: + return PollutionMeasure.from_odh_repr(raw_measure) diff --git a/pollution_v2/src/common/connector/traffic.py b/pollution_v2/src/common/connector/traffic.py new file mode 100644 index 00000000..f18c129f --- /dev/null +++ b/pollution_v2/src/common/connector/traffic.py @@ -0,0 +1,64 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +from typing import Optional, List + +from common.connector.common import ODHBaseConnector +from common.data_model.traffic import TrafficMeasure, TrafficSensorStation + + +class TrafficODHConnector(ODHBaseConnector[TrafficMeasure, TrafficSensorStation]): + + def __init__(self, + base_reader_url: str, + base_writer_url: str, + authentication_url: str, + username: Optional[str], + password: Optional[str], + client_id: Optional[str], + client_secret: Optional[str], + grant_type: List[str], + pagination_size: int, + max_post_batch_size: Optional[int], + requests_timeout: float, + requests_max_retries: int, + requests_sleep_time: float, + requests_retry_sleep_time: float) -> None: + + station_type = "TrafficSensor" + measure_types = [ + "Nr. Buses", + "Nr. Heavy Vehicles", + "Nr. Light Vehicles", + "Average Speed Buses", + "Average Speed Heavy Vehicles", + "Average Speed Light Vehicles" + ] + + super().__init__(base_reader_url, + base_writer_url, + station_type, + measure_types, + authentication_url, + username, + password, + client_id, + client_secret, + grant_type, + pagination_size, + max_post_batch_size, + requests_timeout, + requests_max_retries, + requests_sleep_time, + requests_retry_sleep_time) + + @staticmethod + def build_station(raw_station: dict) -> TrafficSensorStation: + return TrafficSensorStation.from_odh_repr(raw_station) + + @staticmethod + def build_measure(raw_measure: dict) -> TrafficMeasure: + return TrafficMeasure.from_odh_repr(raw_measure) diff --git a/pollution_v2/src/common/data_model/__init__.py b/pollution_v2/src/common/data_model/__init__.py new file mode 100644 index 00000000..3c0f632c --- /dev/null +++ b/pollution_v2/src/common/data_model/__init__.py @@ -0,0 +1,6 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later +from .common import VehicleClass, MeasureCollection, Measure, Provenance, DataType +from .traffic import TrafficSensorStation, TrafficMeasure, TrafficMeasureCollection, TrafficEntry +from .pollution import PollutionEntry, PollutantClass, PollutionMeasure, PollutionMeasureCollection diff --git a/pollution_v2/src/common/data_model/common.py b/pollution_v2/src/common/data_model/common.py new file mode 100644 index 00000000..e31e775c --- /dev/null +++ b/pollution_v2/src/common/data_model/common.py @@ -0,0 +1,221 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +from dataclasses import dataclass, field +from datetime import datetime +from enum import Enum +from typing import TypeVar, Generic, List, Iterable, Optional, Dict, Any, ClassVar + +import dateutil.parser + + +class VehicleClass(Enum): + + BUSES = "BUSES" + HEAVY_VEHICLES = "HEAVY_VEHICLES" + LIGHT_VEHICLES = "LIGHT_VEHICLES" + + +@dataclass +class Provenance: + provenance_id: Optional[str] + lineage: str + data_collector: str + data_collector_version: str + + @classmethod + def from_odh_repr(cls, raw_data: dict): + return cls( + provenance_id=None, + lineage=raw_data["prlineage"], + data_collector=raw_data["prname"], + data_collector_version=raw_data["prversion"] + ) + + def to_odh_repr(self) -> dict: + return { + "uuid": self.provenance_id, + "lineage": self.lineage, + "dataCollector": self.data_collector, + "dataCollectorVersion": self.data_collector_version + } + + +@dataclass +class DataType: + name: str + description: Optional[str] + data_type: Optional[str] + unit: Optional[str] + metadata: Optional[dict] + + @classmethod + def from_odh_repr(cls, raw_data: dict): + return cls( + name=raw_data["tname"], + description=raw_data.get("tdescription"), + data_type=raw_data.get("ttype"), + unit=raw_data.get("tunit"), + metadata=raw_data.get("tmetadata") + ) + + def to_odh_repr(self) -> dict: + return { + "name": self.name, + "description": self.description, + "rtype": self.data_type, + "unit": self.unit, + "metadata": self.metadata, + "_t": "it.bz.idm.bdp.dto.DataTypeDto" + } + + +@dataclass +class Measure: + station: Station + data_type: DataType + provenance: Provenance + period: Optional[int] + transaction_time: Optional[datetime] + valid_time: datetime + value: float or int or str + + @classmethod + def from_odh_repr(cls, raw_data: dict): + return cls( + station=Station.from_odh_repr(raw_data), + data_type=DataType.from_odh_repr(raw_data), + provenance=Provenance.from_odh_repr(raw_data), + period=raw_data.get("mperiod"), + transaction_time=dateutil.parser.parse(raw_data["mtransactiontime"]) if raw_data.get("mtransactiontime") else None, + valid_time=dateutil.parser.parse(raw_data["mvalidtime"]), + value=raw_data["mvalue"], + ) + + def to_odh_repr(self) -> dict: + return { + "timestamp": self.valid_time.timestamp() * 1000, + "value": self.value, + "period": self.period, + "_t": "it.bz.idm.bdp.dto.SimpleRecordDto" + } + + +MeasureType = TypeVar("MeasureType", bound=Measure) + + +@dataclass +class Station: + + code: str + active: bool + available: bool + coordinates: dict + metadata: dict + name: str + station_type: str + origin: Optional[str] + + __version__: ClassVar[int] = 1 + + @classmethod + def from_odh_repr(cls, raw_data: dict): + return cls( + code=raw_data["scode"], + active=raw_data["sactive"], + available=raw_data["savailable"], + coordinates=raw_data["scoordinate"], + metadata=raw_data["smetadata"], + name=raw_data["sname"], + station_type=raw_data["stype"], + origin=raw_data.get("sorigin") + ) + + def to_json(self) -> dict: + return { + "code": self.code, + "active": self.active, + "available": self.available, + "coordinates": self.coordinates, + "metadata": self.metadata, + "name": self.name, + "station_type": self.station_type, + "origin": self.origin + } + + @classmethod + def from_json(cls, dict_data) -> Station: + return Station( + code=dict_data["code"], + active=dict_data["active"], + available=dict_data["available"], + coordinates=dict_data["coordinates"], + metadata=dict_data["metadata"], + name=dict_data["name"], + station_type=dict_data["station_type"], + origin=dict_data["origin"] + ) + + +@dataclass +class StationLatestMeasure(): + + def __init__(self, station_code, latest_time): + self.station_code = station_code + self.latest_time = latest_time + + +StationType = TypeVar("StationType", bound=Station) + + +@dataclass +class MeasureCollection(Generic[MeasureType, StationType]): + """ + This class represent a collection of measures and contains all the method necessary for filtering nad handling them. + """ + + measures: List[MeasureType] = field(default_factory=list) + + def with_measure(self, measure: MeasureType) -> MeasureCollection: + """ + Add a new traffic sensor to the collection + + :param measure: the measure to add + :return: the updated collection + """ + self.measures.append(measure) + return self + + def with_measures(self, measures: Iterable[MeasureType]) -> MeasureCollection: + """ + Add a new traffic sensor to the collection + + :param measures: the measures to add + :return: the updated collection + """ + self.measures.extend(measures) + return self + + def get_measures_by_station(self, station: StationType) -> List[MeasureType]: + """ + Filter the available measure by the given station + + :param station: the station on which filter the measures + :return: the measures filtered by the given station + """ + return list(filter(lambda x: x.station == station, self.measures)) + + def get_stations(self) -> Dict[str, StationType]: + """ + Get the stations related to the measures in the format station_code: Station. + + :return: the stations related to the measures in the format station_code: Station. + """ + stations_dict: Dict[str, StationType] = {} + for measure in self.measures: + if measure.station.code not in stations_dict: + stations_dict[measure.station.code] = measure.station + return stations_dict diff --git a/pollution_v2/src/common/data_model/pollution.py b/pollution_v2/src/common/data_model/pollution.py new file mode 100644 index 00000000..fe6caa76 --- /dev/null +++ b/pollution_v2/src/common/data_model/pollution.py @@ -0,0 +1,71 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +from dataclasses import dataclass +from datetime import datetime +from enum import Enum +from typing import Optional, List, Dict + +from common.data_model.common import VehicleClass, MeasureCollection, Measure, Provenance, DataType +from common.data_model.traffic import TrafficSensorStation + + +class PollutantClass(Enum): + + CO = "CO" + CO2 = "CO2" + NOx = "NOx" + PM10 = "PM Exhaust" + VOC = "VOC" + + +@dataclass +class PollutionEntry: + station: TrafficSensorStation + valid_time: datetime + vehicle_class: VehicleClass + pollutant_class: PollutantClass + pollutant_value: Optional[float] + period: Optional[int] + + +class PollutionMeasure(Measure): + + @staticmethod + def get_pollution_data_types() -> List[DataType]: + data_types = [] + for vehicle in VehicleClass: + for pollutant in PollutantClass: + data_types.append(DataType(f"{vehicle.name}-{pollutant.name}-emissions", f"{vehicle.value} emissions of {pollutant.name}", "total", "g/km", {})) + return data_types + + +@dataclass +class PollutionMeasureCollection(MeasureCollection[PollutionMeasure, TrafficSensorStation]): + + @staticmethod + def build_from_pollution_entries(pollution_entries: List[PollutionEntry], provenance: Provenance) -> PollutionMeasureCollection: + """ + Build a PollutionMeasureCollection from the list of pollution entries. + + :param pollution_entries: the pollution entries from which generate the PollutionMeasureCollection + :param provenance: the provenance of the pollution measures + :return: a PollutionMeasureCollection object containing the pollution measures generated from the pollution entries + """ + data_types_dict: Dict[str, DataType] = {data_type.name: data_type for data_type in PollutionMeasure.get_pollution_data_types()} + pollution_measures: List[PollutionMeasure] = [] + for pollution_entry in pollution_entries: + pollution_measures.append(PollutionMeasure( + station=pollution_entry.station, + data_type=data_types_dict[f"{pollution_entry.vehicle_class.name}-{pollution_entry.pollutant_class.name}-emissions"], + provenance=provenance, + period=pollution_entry.period, + transaction_time=None, + valid_time=pollution_entry.valid_time, + value=pollution_entry.pollutant_value + )) + + return PollutionMeasureCollection(pollution_measures) diff --git a/pollution_v2/src/common/data_model/traffic.py b/pollution_v2/src/common/data_model/traffic.py new file mode 100644 index 00000000..0621d2a1 --- /dev/null +++ b/pollution_v2/src/common/data_model/traffic.py @@ -0,0 +1,160 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +from dataclasses import dataclass +from datetime import datetime +from typing import Optional, Dict, Iterator + +import dateutil.parser + +from common.data_model.common import VehicleClass, Measure, MeasureCollection, Station, DataType, \ + Provenance + + +@dataclass +class TrafficSensorStation(Station): + + def split_station_code(self) -> (str, int, int): + """ + splits the station code using the pattern ID_strada:ID_stazione:ID_corsia and returns a tuple + with the following structure (ID_strada, ID_stazione, ID_corsia) + :return: + """ + splits = self.code.split(":") + if len(splits) != 3: + raise ValueError(f"Unable to split [{self.code}] in ID_strada:ID_stazione:ID_corsia") + return splits[0], int(splits[1]), int(splits[2]) + + @property + def id_strada(self) -> str: + id_strada, id_stazione, id_corsia = self.split_station_code() + return id_strada + + @property + def id_stazione(self) -> int: + id_strada, id_stazione, id_corsia = self.split_station_code() + return id_stazione + + @property + def id_corsia(self) -> int: + id_strada, id_stazione, id_corsia = self.split_station_code() + return id_corsia + + @classmethod + def from_json(cls, dict_data) -> TrafficSensorStation: + return TrafficSensorStation( + code=dict_data["code"], + active=dict_data["active"], + available=dict_data["available"], + coordinates=dict_data["coordinates"], + metadata=dict_data["metadata"], + name=dict_data["name"], + station_type=dict_data["station_type"], + origin=dict_data["origin"] + ) + + +@dataclass +class TrafficMeasure(Measure): + station: TrafficSensorStation + + @classmethod + def from_odh_repr(cls, raw_data: dict): + return cls( + station=TrafficSensorStation.from_odh_repr(raw_data), + data_type=DataType.from_odh_repr(raw_data), + provenance=Provenance.from_odh_repr(raw_data), + period=raw_data.get("mperiod"), + transaction_time=dateutil.parser.parse(raw_data["mtransactiontime"]) if raw_data.get("mtransactiontime") else None, + valid_time=dateutil.parser.parse(raw_data["mvalidtime"]), + value=raw_data["mvalue"], + ) + + @property + def vehicle_class(self): + if "BUSES" in self.data_type.name.upper(): + return VehicleClass.BUSES + elif "HEAVY" in self.data_type.name.upper(): + return VehicleClass.HEAVY_VEHICLES + elif "LIGHT" in self.data_type.name.upper(): + return VehicleClass.LIGHT_VEHICLES + + @property + def is_vehicle_counting_measure(self) -> bool: + return self.data_type.name.upper() in [ + "NR. BUSES", + "NR. HEAVY VEHICLES", + "NR. LIGHT VEHICLES" + ] + + @property + def is_average_speed_measure(self) -> bool: + return self.data_type.name.upper() in [ + "AVERAGE SPEED BUSES", + "AVERAGE SPEED HEAVY VEHICLES", + "AVERAGE SPEED LIGHT VEHICLES" + ] + + +@dataclass +class TrafficEntry: + station: TrafficSensorStation + transaction_time: datetime + valid_time: datetime + vehicle_class: VehicleClass + nr_of_vehicles: Optional[int] + average_speed: Optional[float] + period: Optional[int] + + +@dataclass +class TrafficMeasureCollection(MeasureCollection[TrafficMeasure, TrafficSensorStation]): + + def _build_traffic_entries_dictionary(self) -> Dict[str, Dict[datetime, Dict[VehicleClass, TrafficEntry]]]: + # A temporary dictionary used for faster aggregation of the results + # The dictionary will have the following structure + # StationCode -> (measure valid time -> (vehicle class -> TrafficEntry)) + result: Dict[str, Dict[datetime, Dict[VehicleClass, TrafficEntry]]] = {} + for measure in self.measures: + if measure.station.code not in result: + result[measure.station.code] = {} + if measure.valid_time not in result[measure.station.code]: + result[measure.station.code][measure.valid_time] = {} + if measure.vehicle_class not in result[measure.station.code][measure.valid_time]: + entry = TrafficEntry( + station=measure.station, + transaction_time=measure.transaction_time, + valid_time=measure.valid_time, + vehicle_class=measure.vehicle_class, + nr_of_vehicles=None, + average_speed=None, + period=measure.period + ) + result[measure.station.code][measure.valid_time][measure.vehicle_class] = entry + else: + entry = result[measure.station.code][measure.valid_time][measure.vehicle_class] + + if measure.is_vehicle_counting_measure: + if entry.nr_of_vehicles is not None: + raise ValueError(f"Duplicated measure for type [{measure.data_type.name}] on station [{measure.station.code} for date [{measure.valid_time}]") + entry.nr_of_vehicles = measure.value + elif measure.is_average_speed_measure: + if entry.average_speed is not None: + raise ValueError(f"Duplicated measure for type [{measure.data_type.name}] on station [{measure.station.code} for date [{measure.valid_time}]") + entry.average_speed = measure.value + + return result + + def get_traffic_entries(self) -> Iterator[TrafficEntry]: + """ + Build and retrieve the list of traffic entry from the available measures + + :return: an iterator of traffic entries + """ + for station_dict in self._build_traffic_entries_dictionary().values(): + for date_dict in station_dict.values(): + for traffic_entry in date_dict.values(): + yield traffic_entry diff --git a/pollution_v2/src/common/manager/__init__.py b/pollution_v2/src/common/manager/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py new file mode 100644 index 00000000..c7fdca20 --- /dev/null +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -0,0 +1,53 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +import logging +from datetime import datetime +from typing import List + +from common.connector.collector import ConnectorCollector +from common.data_model import TrafficMeasureCollection, TrafficSensorStation +from common.settings import ODH_MINIMUM_STARTING_DATE + +logger = logging.getLogger("common.manager.traffic_station") + + +class TrafficStationManager: + + def __init__(self, connector_collector: ConnectorCollector): + self._connector_collector = connector_collector + self._traffic_stations: List[TrafficSensorStation] = [] + + def get_traffic_stations_from_cache(self) -> List[TrafficSensorStation]: + if len(self._traffic_stations) == 0: + logger.info("Retrieving station list from ODH") + self._traffic_stations = self._get_station_list() + return self._traffic_stations + + def get_latest_date_for_station(self, traffic_station: TrafficSensorStation) -> datetime: + measures = self._connector_collector.traffic.get_latest_measures(station=traffic_station) + return max(list(map(lambda m: m.valid_time, measures)), default=ODH_MINIMUM_STARTING_DATE) + + def _get_station_list(self) -> List[TrafficSensorStation]: + """ + Retrieve the list of all the available stations. + """ + return self._connector_collector.traffic.get_station_list() + + def _download_traffic_data(self, + from_date: datetime, + to_date: datetime, + traffic_station: TrafficSensorStation + ) -> TrafficMeasureCollection: + """ + Download traffic data measures in the given interval. + + :param from_date: Traffic measures before this date are discarded if there isn't any latest pollution measure available. + :param to_date: Traffic measure after this date are discarded. + :return: The resulting TrafficMeasureCollection containing the traffic data. + """ + + return TrafficMeasureCollection(measures=self._connector_collector.traffic.get_measures(from_date=from_date, to_date=to_date, station=traffic_station)) diff --git a/pollution_v2/src/common/settings.py b/pollution_v2/src/common/settings.py new file mode 100644 index 00000000..c43a2c9c --- /dev/null +++ b/pollution_v2/src/common/settings.py @@ -0,0 +1,57 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +import os + +import dateutil.parser +import pytz +from airflow.models import Variable + +# Pollution task +POLLUTION_TASK_SCHEDULING_MINUTE = os.getenv("POLLUTION_TASK_SCHEDULING_MINUTE", "*/10") +POLLUTION_TASK_SCHEDULING_HOUR = os.getenv("POLLUTION_TASK_SCHEDULING_HOUR", "*") + +# Sentry +SENTRY_SAMPLE_RATE = float(os.getenv("SENTRY_SAMPLE_RATE", 1.0)) + +# Logging +LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO") +LOG_LEVEL_LIBS = os.getenv("LOG_LEVEL_LIBS", "DEBUG") +LOGS_DIR = os.getenv("LOGS_DIR", "") + +# Open Data Hub +ODH_BASE_READER_URL = Variable.get("ODH_BASE_READER_URL") +ODH_BASE_WRITER_URL = Variable.get("ODH_BASE_WRITER_URL") +ODH_AUTHENTICATION_URL = Variable.get("ODH_AUTHENTICATION_URL") +ODH_USERNAME = Variable.get("ODH_USERNAME") +ODH_PASSWORD = Variable.get("ODH_PASSWORD") +ODH_CLIENT_ID = Variable.get("ODH_CLIENT_ID") +ODH_CLIENT_SECRET = Variable.get("ODH_CLIENT_SECRET") +ODH_GRANT_TYPE = Variable.get("ODH_GRANT_TYPE", "password").split(";") +ODH_PAGINATION_SIZE = int(Variable.get("ODH_PAGINATION_SIZE", 200)) +ODH_MAX_POST_BATCH_SIZE = int(Variable.get("ODH_MAX_POST_BATCH_SIZE")) if Variable.get("ODH_MAX_POST_BATCH_SIZE") else None +ODH_COMPUTATION_BATCH_SIZE = int(Variable.get("ODH_COMPUTATION_BATCH_SIZE", 30)) +ODH_MINIMUM_STARTING_DATE = dateutil.parser.parse(Variable.get("ODH_MINIMUM_STARTING_DATE", "2018-01-01")) +DAG_POLLUTION_EXECUTION_CRONTAB = Variable.get("DAG_POLLUTION_EXECUTION_CRONTAB", "0 0 * * *") +DAG_VALIDATION_EXECUTION_CRONTAB = Variable.get("DAG_VALIDATION_EXECUTION_CRONTAB", "0 0 * * *") +DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN = int(Variable.get("DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN", 24)) + +# General +DEFAULT_TIMEZONE = pytz.timezone(os.getenv("DEFAULT_TIMEZONE", "Europe/Rome")) + +# Requests management +REQUESTS_TIMEOUT = float(os.getenv("REQUESTS_TIMEOUT", 300)) +REQUESTS_MAX_RETRIES = int(os.getenv("REQUESTS_MAX_RETRIES", 1)) +REQUESTS_SLEEP_TIME = float(os.getenv("REQUESTS_SLEEP_TIME", 0)) +REQUESTS_RETRY_SLEEP_TIME = float(os.getenv("REQUESTS_RETRY_SLEEP_TIME", 30)) + +# Provenance +PROVENANCE_ID = os.getenv("PROVENANCE_ID") +PROVENANCE_LINEAGE = os.getenv("PROVENANCE_LINEAGE", "u-hopper") +PROVENANCE_NAME = os.getenv("PROVENANCE_NAME", "a22-pollutant-elaboration") +PROVENANCE_VERSION = os.getenv("PROVENANCE_VERSION", "0.1.0") + +COMPUTATION_CHECKPOINT_REDIS_HOST = Variable.get("COMPUTATION_CHECKPOINT_REDIS_HOST", None) +COMPUTATION_CHECKPOINT_REDIS_PORT = int(Variable.get("COMPUTATION_CHECKPOINT_REDIS_PORT", 6379)) +COMPUTATION_CHECKPOINT_REDIS_DB = int(Variable.get("COMPUTATION_CHECKPOINT_REDIS_DB", 0)) diff --git a/pollution_v2/src/dags/__init__.py b/pollution_v2/src/dags/__init__.py new file mode 100644 index 00000000..a1097782 --- /dev/null +++ b/pollution_v2/src/dags/__init__.py @@ -0,0 +1,3 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py new file mode 100644 index 00000000..b372b3cd --- /dev/null +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -0,0 +1,145 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +import logging +from datetime import timedelta, datetime + +from airflow.decorators import task +from airflow.utils.trigger_rule import TriggerRule +from redis.client import Redis + +from dags.common import TrafficStationsDAG +from pollution_connector.cache.computation_checkpoint import ComputationCheckpointCache +from common.connector.collector import ConnectorCollector +from common.data_model.common import Provenance, StationLatestMeasure +from common.data_model import TrafficSensorStation +from common.settings import ODH_MINIMUM_STARTING_DATE, \ + COMPUTATION_CHECKPOINT_REDIS_DB, COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_HOST, \ + PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION, DAG_POLLUTION_EXECUTION_CRONTAB, \ + DEFAULT_TIMEZONE, DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN +from pollution_connector.tasks.pollution_computation import PollutionComputationManager + +# see https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dynamic-task-mapping.html + +logger = logging.getLogger("dags.aiaas_pollution_computer") + +default_args = { + 'owner': 'airflow', + 'depends_on_past': False, + 'start_date': ODH_MINIMUM_STARTING_DATE, + 'email': ['airflow@example.com'], + 'email_on_failure': False, + 'email_on_retry': False, + 'retries': 1, + 'retry_delay': timedelta(minutes=5), +} + +THIS_DAG_ID = "pollution_computer" + +with TrafficStationsDAG( + THIS_DAG_ID, + + # execution interval if no backfill step length on date increment if backfill (interval determined by first slot + # available in queue) + # schedule_interval is deprecated + schedule=DAG_POLLUTION_EXECUTION_CRONTAB, + + # execution date starting at (if needed, backfill) + start_date=ODH_MINIMUM_STARTING_DATE, + + # if True, the scheduler creates a DAG Run for each completed interval between start_date and end_date + # and the scheduler will execute them sequentially + # no need to backfill with catch-up, we can rely on programmatically process-the-oldest-data-on-ODH + catchup=False, + + tags=["aiaas", "pollution"], + + # 1 as the maximum number of active DAG runs per DAG: + # dag execution mode should be sequential to avoid periods overlapping and + # to avoid quick and recent runs blocking slow and older ones (as ODH does not accept "older" data writing) + max_active_runs=1, + + default_args=default_args +) as dag: + def _init_manager() -> PollutionComputationManager: + """ + Inits what needed for the computation of a batch of pollution data measures. + """ + + checkpoint_cache = None + if COMPUTATION_CHECKPOINT_REDIS_HOST: + logger.info("Enabled checkpoint cache") + checkpoint_cache = ComputationCheckpointCache(Redis(host=COMPUTATION_CHECKPOINT_REDIS_HOST, + port=COMPUTATION_CHECKPOINT_REDIS_PORT, + db=COMPUTATION_CHECKPOINT_REDIS_DB)) + else: + logger.info("Checkpoint cache disabled") + + collector_connector = ConnectorCollector.build_from_env() + provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION) + manager = PollutionComputationManager(collector_connector, provenance, checkpoint_cache) + return manager + + + @task + def get_stations_list(**kwargs) -> list[dict]: + """ + Returns the complete list of stations or the filtered list based on previous DAG run + + :return: list of strings containing stations list + """ + + manager = _init_manager() + + station_dicts = dag.get_stations_list(manager, **kwargs) + + return station_dicts + + + @task + def process_station(station_dict: dict, **kwargs): + """ + Process a single station + + :param station_dict: the station to process + """ + + station = TrafficSensorStation.from_json(station_dict) + logger.info(f"Received station {station}") + + manager = _init_manager() + + min_from_date, max_to_date = dag.init_date_range(None, None) + + computation_start_dt = datetime.now() + + logger.info(f"running computation from {min_from_date} to {max_to_date}") + manager.run_computation_for_station(station, min_from_date, max_to_date) + + computation_end_dt = datetime.now() + logger.info(f"Completed computation in [{(computation_end_dt - computation_start_dt).seconds}]") + + + @task(trigger_rule=TriggerRule.ALL_DONE) + def whats_next(already_processed_stations, **kwargs): + """ + Checks if there are still data to be processed before ending DAG runs + + :param already_processed_stations: the stations already processed (not used) + """ + manager = _init_manager() + + def has_remaining_data(measure: StationLatestMeasure) -> bool: + now = datetime.now(tz=DEFAULT_TIMEZONE) + date = measure.latest_time + if date.tzinfo is None: + date = DEFAULT_TIMEZONE.localize(date) + return (now - date).total_seconds() / 3600 > DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN + + dag.trigger_next_dag_run(manager, dag, has_remaining_data, **kwargs) + + + processed_stations = process_station.expand(station_dict=get_stations_list()) + + whats_next(processed_stations) diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py new file mode 100644 index 00000000..6616de45 --- /dev/null +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -0,0 +1,123 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +import logging +from datetime import timedelta, datetime + +from airflow.decorators import task +from airflow.utils.trigger_rule import TriggerRule + +from common.manager.traffic_station import TrafficStationManager +from dags.common import TrafficStationsDAG +from common.connector.collector import ConnectorCollector +from common.data_model import TrafficSensorStation, StationLatestMeasure +from common.settings import ODH_MINIMUM_STARTING_DATE, DAG_VALIDATION_EXECUTION_CRONTAB + +# see https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dynamic-task-mapping.html + +logger = logging.getLogger("dags.aiaas_validator") + +default_args = { + 'owner': 'airflow', + 'depends_on_past': False, + 'start_date': ODH_MINIMUM_STARTING_DATE, + 'email': ['airflow@example.com'], + 'email_on_failure': False, + 'email_on_retry': False, + 'retries': 1, + 'retry_delay': timedelta(minutes=5), +} + +THIS_DAG_ID = "validator" + +with TrafficStationsDAG( + THIS_DAG_ID, + + # execution interval if no backfill step length on date increment if backfill (interval determined by first slot + # available in queue) + # schedule_interval is deprecated + schedule=DAG_VALIDATION_EXECUTION_CRONTAB, + + # execution date starting at (if needed, backfill) + start_date=ODH_MINIMUM_STARTING_DATE, + + # if True, the scheduler creates a DAG Run for each completed interval between start_date and end_date + # and the scheduler will execute them sequentially + # no need to backfill with catch-up, we can rely on programmatically process-the-oldest-data-on-ODH + catchup=False, + + tags=["aiaas", "validator"], + + # 1 as the maximum number of active DAG runs per DAG: + # dag execution mode should be sequential to avoid periods overlapping and + # to avoid quick and recent runs blocking slow and older ones (as ODH does not accept "older" data writing) + max_active_runs=1, + + default_args=default_args +) as dag: + + def _init_manager() -> TrafficStationManager: + + connector_collector = ConnectorCollector.build_from_env() + manager = TrafficStationManager(connector_collector) + return manager + + @task + def get_stations_list(**kwargs) -> list[dict]: + """ + Returns the complete list of stations or the filtered list based on previous DAG run + + :return: list of strings containing stations list + """ + manager = _init_manager() + + station_dicts = dag.get_stations_list(manager, **kwargs) + + return station_dicts + + + @task + def process_station(station_dict: dict, **kwargs): + """ + Process a single station + + :param station_dict: the station to process + """ + + station = TrafficSensorStation.from_json(station_dict) + logger.info(f"Received station {station}") + + manager = _init_manager() + + min_from_date, max_to_date = dag.init_date_range(None, None) + + computation_start_dt = datetime.now() + + logger.info(f"running validation from {min_from_date} to {max_to_date}") + + # TODO: implement validation + + computation_end_dt = datetime.now() + logger.info(f"Completed validation in [{(computation_end_dt - computation_start_dt).seconds}]") + + + @task(trigger_rule=TriggerRule.ALL_DONE) + def whats_next(already_processed_stations, **kwargs): + """ + Checks if there are still data to be processed before ending DAG runs + + :param already_processed_stations: the stations already processed (not used) + """ + manager = _init_manager() + + def has_remaining_data(measure: StationLatestMeasure) -> bool: + # TODO: implement method to check if there are still data to be processed before ending DAG runs + raise NotImplementedError + + dag.trigger_next_dag_run(manager, dag, has_remaining_data, **kwargs) + + + processed_stations = process_station.expand(station_dict=get_stations_list()) + + whats_next(processed_stations) diff --git a/pollution_v2/src/dags/common.py b/pollution_v2/src/dags/common.py new file mode 100644 index 00000000..6533fb03 --- /dev/null +++ b/pollution_v2/src/dags/common.py @@ -0,0 +1,98 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later +import logging +from datetime import datetime +from typing import Optional, Callable + +from airflow import DAG +from airflow.operators.trigger_dagrun import TriggerDagRunOperator + +from common.data_model import StationLatestMeasure +from common.manager.traffic_station import TrafficStationManager +from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE + +logger = logging.getLogger("dags.common") + + +class TrafficStationsDAG(DAG): + + @staticmethod + def init_date_range(min_from_date: Optional[datetime], max_to_date: Optional[datetime]): + """ + As starting date for the batch is used the latest pollution measure available on the ODH, if no pollution + measures are available min_from_date is used. + + :param min_from_date: Optional, if set traffic measures before this date are discarded if no pollution measures + are available. If not specified, the default will be taken from the environmental variable `ODH_MINIMUM_STARTING_DATE`. + :param max_to_date: Optional, if set the traffic measure after this date are discarded. + If not specified, the default will be the current datetime. + :return: adjusted dates + """ + + if min_from_date is None: + min_from_date = ODH_MINIMUM_STARTING_DATE + + if min_from_date.tzinfo is None: + min_from_date = DEFAULT_TIMEZONE.localize(min_from_date) + + if max_to_date is None: + max_to_date = datetime.now(tz=DEFAULT_TIMEZONE) + + if max_to_date.tzinfo is None: + max_to_date = DEFAULT_TIMEZONE.localize(max_to_date) + + return min_from_date, max_to_date + + @staticmethod + def get_stations_list(manager: TrafficStationManager, **kwargs): + """ + Returns the complete list of stations or the filtered list based on previous DAG run + + :return: list of strings containing stations list + """ + traffic_stations = manager.get_traffic_stations_from_cache() + + stations_from_prev_dag = kwargs["dag_run"].conf.get('stations_to_process') + if stations_from_prev_dag: + logger.info(f"{len(stations_from_prev_dag)} stations with unprocessed data from previous run, using them") + traffic_stations = list(filter(lambda station: station.code in stations_from_prev_dag, traffic_stations)) + + logger.info(f"found {len(traffic_stations)} traffic stations") + + # Serialization and deserialization is dependent on speed. + # Use built-in functions like dict as much as you can and stay away + # from using classes and other complex structures. + station_dicts = [station.to_json() for station in traffic_stations] + + return station_dicts + + @staticmethod + def trigger_next_dag_run(manager: TrafficStationManager, originator_dag: DAG, + has_remaining_data: Callable[[StationLatestMeasure], bool], **kwargs): + """ + Checks if there are still data to be processed before ending DAG runs + + :param manager: the manager to use + :param originator_dag: the dag to trigger + :param has_remaining_data: the function to use to check if there are still data to process + """ + all_latest = manager.get_all_latest_measures() + stations = [] + for item in all_latest: + if has_remaining_data(item): + stations.append(item.station_code) + + # True if on ODH there are lots of data to be processed (e.g. new station with old unprocessed data) + run_again = len(stations) > 0 + + logger.info(f"{'' if run_again else 'NOT '}starting another self-triggered run as {len(stations)} " + f"stations have still unprocessed data") + + if run_again: + TriggerDagRunOperator( + task_id="run_again_the_dag", + trigger_dag_id=originator_dag.dag_id, + dag=originator_dag, + conf={'stations_to_process': stations} + ).execute(kwargs) diff --git a/pollution_v2/src/dags/sample.py b/pollution_v2/src/dags/sample.py new file mode 100644 index 00000000..4f195de4 --- /dev/null +++ b/pollution_v2/src/dags/sample.py @@ -0,0 +1,137 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +import os +import textwrap +from datetime import datetime, timedelta + +# The DAG object; we'll need this to instantiate a DAG +from airflow.models.dag import DAG + +# Operators; we need this to operate! +from airflow.operators.bash import BashOperator +from airflow.operators.python import PythonOperator +from keycloak import KeycloakOpenID + +from common.settings import ODH_AUTHENTICATION_URL, ODH_CLIENT_ID, ODH_CLIENT_SECRET, \ + ODH_USERNAME, ODH_PASSWORD, ODH_GRANT_TYPE + +print(os.environ) + +# https://airflow.apache.org/docs/apache-airflow/2.8.1/core-concepts/dag-run.html + +with DAG( + "sample", + # These args will get passed on to each operator + # You can override them on a per-task basis during operator initialization + default_args={ + "depends_on_past": False, + "email": ["marco.angheben@u-hopper.com"], + "email_on_failure": True, + "email_on_retry": True, + "retries": 1, + "retry_delay": timedelta(minutes=5), + # 'queue': 'bash_queue', + # 'pool': 'backfill', + # 'priority_weight': 10, + # 'end_date': datetime(2016, 1, 1), + # 'wait_for_downstream': False, + # 'sla': timedelta(hours=2), + # 'execution_timeout': timedelta(seconds=300), + # 'on_failure_callback': some_function, # or list of functions + # 'on_success_callback': some_other_function, # or list of functions + # 'on_retry_callback': another_function, # or list of functions + # 'sla_miss_callback': yet_another_function, # or list of functions + # 'trigger_rule': 'all_success' + }, + description="A simple sample DAG", + + # execution interval if no backfill + # step length on date increment if backfill (interval determined by first slot available in queue) + schedule=timedelta(minutes=5), + + # execution date starting at (if needed, backfill) + start_date=datetime(2024, 1, 1), + + # if True, the scheduler creates a DAG Run for each completed interval between start_date and end_date + # and the scheduler will execute them sequentially + catchup=True, + + tags=["example"], +) as dag: + def print_context(ds, **kwargs): + """Print the Airflow context and ds variable from the context.""" + + print("reading kwargs") + for key, value in kwargs.items(): + print(f"> {key} - {value}") + + print("reading Python path") + import sys + from pprint import pprint + pprint(sys.path) + + print(f"connecting to {ODH_AUTHENTICATION_URL} with {ODH_CLIENT_ID} and its secret key") + _keycloak_openid = KeycloakOpenID(server_url=ODH_AUTHENTICATION_URL, client_id=ODH_CLIENT_ID, + realm_name="noi", client_secret_key=ODH_CLIENT_SECRET) + print(f" calling...") + tmp = _keycloak_openid.token(username=ODH_USERNAME, password=ODH_PASSWORD, grant_type=ODH_GRANT_TYPE) + print(f" we got token! {tmp}") + + start_date = kwargs["data_interval_start"] + end_date = kwargs["data_interval_end"] + print(f"Data interval start: {start_date} and end: {end_date}") + + return 'Whatever you return gets printed in the logs' + + + # https://airflow.apache.org/docs/apache-airflow/2.2.0/howto/operator/python.html + t0 = PythonOperator( + task_id='print_the_context', + python_callable=print_context, + ) + + # t1, t2 and t3 are examples of tasks created by instantiating operators + t1 = BashOperator( + task_id="print_date", + bash_command="date", + ) + + t2 = BashOperator( + task_id="sleep", + depends_on_past=False, + bash_command="sleep 5", + retries=3, + ) + t1.doc_md = textwrap.dedent( + """\ + #### Task Documentation + You can document your task using the attributes `doc_md` (markdown), + `doc` (plain text), `doc_rst`, `doc_json`, `doc_yaml` which gets + rendered in the UI's Task Instance Details page. + ![img](http://montcs.bloomu.edu/~bobmon/Semesters/2012-01/491/import%20soul.png) + **Image Credit:** Randall Munroe, [XKCD](https://xkcd.com/license.html) + """ + ) + + dag.doc_md = __doc__ # providing that you have a docstring at the beginning of the DAG; OR + dag.doc_md = """ + This is a documentation placed anywhere + """ # otherwise, type it like this + templated_command = textwrap.dedent( + """ + {% for i in range(5) %} + echo "{{ ds }}" + echo "{{ macros.ds_add(ds, 7)}}" + {% endfor %} + """ + ) + + t3 = BashOperator( + task_id="templated", + depends_on_past=False, + bash_command=templated_command, + ) + + t0 >> [t1, t2] >> t3 diff --git a/pollution_v2/src/pollution_connector/__init__.py b/pollution_v2/src/pollution_connector/__init__.py new file mode 100644 index 00000000..a1097782 --- /dev/null +++ b/pollution_v2/src/pollution_connector/__init__.py @@ -0,0 +1,3 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution_v2/src/pollution_connector/cache/__init__.py b/pollution_v2/src/pollution_connector/cache/__init__.py new file mode 100644 index 00000000..a1097782 --- /dev/null +++ b/pollution_v2/src/pollution_connector/cache/__init__.py @@ -0,0 +1,3 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution_v2/src/pollution_connector/cache/common.py b/pollution_v2/src/pollution_connector/cache/common.py new file mode 100644 index 00000000..2d47ecbd --- /dev/null +++ b/pollution_v2/src/pollution_connector/cache/common.py @@ -0,0 +1,69 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +import json +import logging +from abc import ABC, abstractmethod +from json import JSONDecodeError +from typing import Optional, TypeVar, Generic, Type + +import redis + +logger = logging.getLogger("pollution_connector.cache.redis_cache") + + +class CacheData(ABC): + + @abstractmethod + def to_repr(self) -> dict: + pass + + @staticmethod + @abstractmethod + def from_repr(raw_data: dict) -> CacheData: + pass + + @abstractmethod + def unique_id(self) -> str: + pass + + +CacheDataType = TypeVar("CacheDataType", bound=CacheData) + + +class RedisCache(Generic[CacheDataType], ABC): + + def __init__(self, r: redis.Redis, cache_data_type: Type[CacheDataType]) -> None: + self._cache_data_type = cache_data_type + self._r = r + + def get(self, key: str) -> Optional[CacheDataType]: + logger.info(f"Getting cached data for key [{key}]") + result = self._r.get(key) + if result is not None: + try: + result = self._cache_data_type.from_repr(json.loads(result)) + except JSONDecodeError as e: + logger.exception(f"Could not parse cached data for key [{key}]", exc_info=e) + raise e + else: + logger.debug(f"No data for key [{key}]") + + return result + + def set(self, data: CacheDataType, ttl: Optional[int] = None) -> None: + """ + Cache the data in dict format inside the redis db. + + :param data: the data to cache + :param key: the key to save the data + :param ttl: the time to live of the data entry (expressed in seconds) + """ + logger.info(f"Caching data for key [{data.unique_id()}] and ttl [{ttl}].") + if ttl: + self._r.set(data.unique_id(), json.dumps(data.to_repr()), ex=ttl) + else: + self._r.set(data.unique_id(), json.dumps(data.to_repr())) diff --git a/pollution_v2/src/pollution_connector/cache/computation_checkpoint.py b/pollution_v2/src/pollution_connector/cache/computation_checkpoint.py new file mode 100644 index 00000000..d097808d --- /dev/null +++ b/pollution_v2/src/pollution_connector/cache/computation_checkpoint.py @@ -0,0 +1,53 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +from dataclasses import dataclass +from datetime import datetime +from typing import Union + +import redis + +from pollution_connector.cache.common import CacheData, RedisCache +from common.data_model.common import Station + + +@dataclass +class ComputationCheckpoint(CacheData): + + station_code: str + checkpoint_dt: datetime + + @staticmethod + def get_id_for_station(station: Union[Station, str]) -> str: + base_key = "ComputationCheckpoint" + if isinstance(station, str): + return f"{base_key}-{station}" + elif isinstance(station, Station): + return f"{base_key}-{station.code}" + else: + raise TypeError(f"Unable to handle an object of type [{type(station)}]") + + def unique_id(self) -> str: + return self.get_id_for_station(self.station_code) + + def to_repr(self) -> dict: + return { + "stationCode": self.station_code, + "checkpointDT": self.checkpoint_dt.isoformat() + } + + @staticmethod + def from_repr(raw_data: dict) -> CacheData: + return ComputationCheckpoint( + station_code=raw_data["stationCode"], + checkpoint_dt=datetime.fromisoformat(raw_data["checkpointDT"]) + ) + + +class ComputationCheckpointCache(RedisCache[ComputationCheckpoint]): + + def __init__(self, r: redis.Redis) -> None: + super().__init__(r, ComputationCheckpoint) diff --git a/pollution_v2/src/pollution_connector/common/__init__.py b/pollution_v2/src/pollution_connector/common/__init__.py new file mode 100644 index 00000000..a1097782 --- /dev/null +++ b/pollution_v2/src/pollution_connector/common/__init__.py @@ -0,0 +1,3 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution_v2/src/pollution_connector/common/logging.py b/pollution_v2/src/pollution_connector/common/logging.py new file mode 100644 index 00000000..02257922 --- /dev/null +++ b/pollution_v2/src/pollution_connector/common/logging.py @@ -0,0 +1,72 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +import os + +from common.settings import LOGS_DIR, LOG_LEVEL, LOG_LEVEL_LIBS + +log_level = LOG_LEVEL +log_level_libraries = LOG_LEVEL_LIBS + +log_handlers = ["console"] +if "LOG_TO_FILE" in os.environ: + log_handlers.append("file") + + +def get_logging_configuration(service_name: str): + """ + Get the logging configuration to be associated to a particular service. + + :param service_name: The name of the service (e.g. ws, backend, rule-engine, ..) + :return: The logging configuration + """ + file_name = f"{service_name}.log" + + log_config = { + "version": 1, + "formatters": { + "simple": { + "format": "%(asctime)s - %(name)s - %(levelname)s - %(message)s", + "datefmt": "" + } + }, + "handlers": { + "console": { + "class": "logging.StreamHandler", + "formatter": "simple", + "level": "DEBUG", + "stream": "ext://sys.stdout", + }, + "file": { + "class": "logging.handlers.RotatingFileHandler", + "formatter": "simple", + "filename": os.path.join(LOGS_DIR, file_name), + "maxBytes": 10485760, + "backupCount": 3 + } + }, + "root": { + "level": log_level, + "handlers": log_handlers, + }, + "loggers": { + "werkzeug": { + "level": log_level_libraries, + "handlers": log_handlers, + "propagate": 0 + }, + "uhopper": { + "level": log_level, + "handlers": log_handlers, + "propagate": 0 + }, + "pollution_connector": { + "level": log_level, + "handlers": log_handlers, + "propagate": 0 + }, + } + } + + return log_config diff --git a/pollution_v2/src/pollution_connector/main.py b/pollution_v2/src/pollution_connector/main.py new file mode 100644 index 00000000..59a1fc14 --- /dev/null +++ b/pollution_v2/src/pollution_connector/main.py @@ -0,0 +1,60 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +import argparse +import logging.config + +import dateutil.parser +import sentry_sdk +from celery.result import AsyncResult + +from pollution_connector.common.logging import get_logging_configuration +from common.settings import DEFAULT_TIMEZONE, SENTRY_SAMPLE_RATE +from pollution_connector.tasks.pollution_computation import compute_pollution_data + +logging.config.dictConfig(get_logging_configuration("pollution_v2_connector")) +logger = logging.getLogger("pollution_v2_connector") + +sentry_sdk.init( + traces_sample_rate=SENTRY_SAMPLE_RATE, + integrations=[] +) + +if __name__ == "__main__": + + arg_parser = argparse.ArgumentParser(description="Manually run a pollution (v2) computation") + arg_parser.add_argument("-f", "--from-date", type=str, required=False, + help="The starting date[time] in isoformat (up to one second level of precision, milliseconds for the from date field are not supported in ODH) for downloading data from ODH if no pollution measures are available") + + arg_parser.add_argument("-t", "--to-date", type=str, required=False, + help="The end date[time] in isoformat for downloading the traffic measures. If not specified, the default will be the current datetime") + + arg_parser.add_argument("--run-async", action="store_true", help="If set it run the task in the celery cluster") + args = arg_parser.parse_args() + + if args.from_date: + from_date = dateutil.parser.parse(args.from_date) + if from_date.tzinfo is None: + from_date = DEFAULT_TIMEZONE.localize(from_date) + if from_date.microsecond: + from_date = from_date.replace(microsecond=0) + else: + from_date = None + + if args.to_date: + to_date = dateutil.parser.parse(args.to_date) + if to_date.tzinfo is None: + to_date = DEFAULT_TIMEZONE.localize(to_date) + else: + to_date = None + + compute_pollution_data(min_from_date=from_date, max_to_date=to_date) + '''if args.run_async: + task: AsyncResult = compute_pollution_data.delay(min_from_date=from_date, max_to_date=to_date) + logger.info(f"Scheduled async pollution computation. Task ID: [{task.task_id}]") + else: + logger.info("Staring pollution computation") + compute_pollution_data(min_from_date=from_date, max_to_date=to_date)''' diff --git a/pollution_v2/src/pollution_connector/pollution_computation_model/CopertEmissions.py b/pollution_v2/src/pollution_connector/pollution_computation_model/CopertEmissions.py new file mode 100644 index 00000000..69cc78b1 --- /dev/null +++ b/pollution_v2/src/pollution_connector/pollution_computation_model/CopertEmissions.py @@ -0,0 +1,97 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +""" +Created on Tue Aug 16 2022 +@author: nicola +""" +import os +import sqlite3 +import pandas as pd +import numpy as np + + +# stima delle emissioni con metodo di copert +def copert_emissions(traffic_df): + # ------------------------------------------------------------------------------ + # 0. INIZIALIZZAZIONE + # ------------------------------------------------------------------------------ + # Percorsi dei file di input e output + input_data_path = f"{os.path.dirname(os.path.abspath(__file__))}/input/" + input_copert = input_data_path + 'copert55.db' + # Importa tabella dei coefficienti COPERT da DB + con = sqlite3.connect(input_copert) + copert = pd.read_sql_query("SELECT * FROM COPERT", con) + # Importa file csv di input: + # 1- fleet-composition: distribuzione percentuale parco macchine per categoria, + # alimentazione e classe EURO + fc = pd.read_csv(input_data_path + 'fc_info.csv') + # 2- geometria dell'asse stradale (chilometrica e quote) + geometry = pd.read_csv(input_data_path + 'geometry.csv') + # 3- lista delle stazioni da non considerare (blacklist) + blacklist = np.loadtxt(input_data_path + 'blacklist.txt') + # 4- file della chilometrica (temporaneo fino a quando non sarà esposta in ODH) + km = pd.read_csv(input_data_path + 'km.csv') + # ------------------------------------------------------------------------------ + # 1. CALCOLI PRELIMINARI + # ------------------------------------------------------------------------------ + adt = traffic_df + # Eliminazione delle stazioni presenti in black list + adt = adt[~adt.Station.isin(blacklist)] + # aggiunta valori di chilometrica al df di input se non è presente + adt = pd.merge(adt, km, on='Station', how='left') + # trasformazione valore chilometrica da metri a chilometri + adt['KM'] = adt['KM'].astype(float).div(1000) + # se non è presente il valore di chilometrica, allora prendilo da file 'km.csv' + # se km == nan, allora pendenza = 0 + adt['KM'] = adt['KM'].fillna(adt['km']) + adt.drop('km', axis=1, inplace=True) + adt.rename(columns={'KM': 'km'}, inplace=True) + adt['KM'] = adt['km'].astype(float).round() + # assegnazione valore di pendenza ad ogni stazione, basato su chilometrica più vicina + if ('RoadSlope' in copert) and ('RoadSlope' in geometry): + adt = pd.merge(adt, geometry[['KM', 'RoadSlope']], on='KM') + adt.loc[(adt['Lane'] == 1) | (adt['Lane'] == 2), 'RoadSlope'] = -1 * adt['RoadSlope'] + # Roadslope è solo per i mezzi pesanti, per gli altri inserisco NaN. + # Seleziona le categorie per le quali non è definita la RoadSlope in copert + df = pd.DataFrame(copert, columns=['Category', 'RoadSlope']) + df = df[df['RoadSlope'].isnull()].drop_duplicates() + adt['RoadSlope'] = np.where(adt['Category'].isin(df['Category']), float('NaN'), adt['RoadSlope']) + # Preparazione del dataframe con tutti i dati per il calcolo delle emissioni. + emission = pd.merge(adt, fc, on=['Category']) + # Calcolo numero di transiti per ogni tipo di veicolo + emission['Total_Transits'] = ((emission['Transits'] * emission['PercvsADT'])) + # ------------------------------------------------------------------------------ + # 2. CALCOLO FATTORI DI EMISSIONE, EMISSIONI PER KM, EMISSIONI TOTALI + # ------------------------------------------------------------------------------ + # Selezione dei coefficienti di COPERT da utilizzare + if ('RoadSlope' in copert) and ('RoadSlope' in geometry): + emission = pd.merge(emission, copert, on=['Location', 'Category', 'Fuel', 'ID_Euro', 'RoadSlope']) + elif ('RoadSlope' in copert) and ('RoadSlope' not in geometry): + copert = copert[(copert['RoadSlope'] == 0) | (copert['RoadSlope'].isnull())] + emission = pd.merge(emission, copert, on=['Location', 'Category', 'Fuel', 'ID_Euro', 'RoadSlope']) + else: + emission = pd.merge(emission, copert, on=['Location', 'Category', 'Fuel', 'ID_Euro']) + # Controllo range di validità della velocità per i veicoli: + # se la velocità misurata è superiore alla massima ammissibile, il calcolo + # delle emissioni viene svolto con la massima ammissibile. Idem per la minima. + emission.loc[emission['Speed'] < emission['MinSpeed'], 'Speed'] = emission['MinSpeed'] + emission.loc[emission['Speed'] > emission['MaxSpeed'], 'Speed'] = emission['MaxSpeed'] + # Fattori di emissione (EF) ed emissioni (E) per ogni categoria. + emission['EF'] = (emission['Alpha'] * emission['Speed'] * emission['Speed'] + emission['Beta'] * emission['Speed'] + emission['Gamma'] + emission['Delta'] / emission['Speed']) / (emission['Epsilon'] * emission['Speed'] * emission['Speed'] + emission['Zita'] * emission['Speed'] + emission['Hta']) * (1. - emission['EuroReductionFactor']) * (1. - emission['FuelReductionFactor']) + emission['E'] = emission['EF'] * emission['Total_Transits'] + # Emissioni totali [g/km] alle stazioni di misura. + emission_agg = emission.groupby( + ['date', 'time', 'Period', 'Location', 'Station', 'Lane', 'Category', 'km', 'Pollutant']).agg( + {'Total_Transits': sum, 'E': sum}).reset_index() + # Emissioni totali [g] sui tratti di strada associati alle stazioni. + # I valori sono arrotondati all'intero, la precisione al grammo è più che + # sufficiente) + # Arrotondamento all'intero del numero di transiti + emission_agg['Total_Transits'] = emission_agg['Total_Transits'].round().astype(int) + # ------------------------------------------------------------------------------ + # 3. ESPORTAZIONE RISULTATI + # ------------------------------------------------------------------------------ + # Ritorna solo le colonne utili + return emission_agg[['date', 'time', 'Period', 'Location', 'Station', 'Lane', 'Category', 'km', 'Pollutant', 'Total_Transits', 'E']] diff --git a/pollution_v2/src/pollution_connector/pollution_computation_model/__init__.py b/pollution_v2/src/pollution_connector/pollution_computation_model/__init__.py new file mode 100644 index 00000000..a1097782 --- /dev/null +++ b/pollution_v2/src/pollution_connector/pollution_computation_model/__init__.py @@ -0,0 +1,3 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution_v2/src/pollution_connector/pollution_computation_model/input/blacklist.txt b/pollution_v2/src/pollution_connector/pollution_computation_model/input/blacklist.txt new file mode 100644 index 00000000..e69de29b diff --git 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literal 0 HcmV?d00001 diff --git a/pollution_v2/src/pollution_connector/pollution_computation_model/input/fc_info.csv b/pollution_v2/src/pollution_connector/pollution_computation_model/input/fc_info.csv new file mode 100644 index 00000000..3acf2858 --- /dev/null +++ b/pollution_v2/src/pollution_connector/pollution_computation_model/input/fc_info.csv @@ -0,0 +1,37 @@ +Category,Fuel,ID_Euro,PercvsADT +LIGHT_VEHICLES,Diesel,0,0.000241822064265109 +LIGHT_VEHICLES,Diesel,1,0.000386683274144897 +LIGHT_VEHICLES,Diesel,2,0.00449164497610123 +LIGHT_VEHICLES,Diesel,3,0.0287317045835918 +LIGHT_VEHICLES,Diesel,4,0.0974259610937283 +LIGHT_VEHICLES,Diesel,5,0.210241155084851 +LIGHT_VEHICLES,Diesel,6,0.424291230982214 +LIGHT_VEHICLES,Electric,E,0.0116697405740457 +LIGHT_VEHICLES,Other,0,2.74436868356659e-05 +LIGHT_VEHICLES,Other,1,3.38100641365434e-05 +LIGHT_VEHICLES,Other,2,0.000370613062918863 +LIGHT_VEHICLES,Other,3,0.000459224075911952 +LIGHT_VEHICLES,Other,4,0.0077839718282387 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+5955,138.415 +5938,138.415 +5417,140.605 +5418,144.93 +5419,151.05 +1886,156.595 +5960,156.595 +5939,156.595 +889,159.2 +890,161.6 +1887,164.355 +686,167.9 +687,177.6 +5959,177.6 +5958,177.6 +5957,205.165 +5956,205.165 +683,205.5 +5753,216.5 +1871,227.6 +1872,228.2 +663,242.5 +5776,247.9 +671,261.4 +672,271.9 +661,283.3 +681,301.2 +5845,305.2 +5767,313 +673,313 +659,228.5 +657,227.5 +660,227.5 +658,228.3 diff --git a/pollution_v2/src/pollution_connector/pollution_computation_model/pollution_computation_model.py b/pollution_v2/src/pollution_connector/pollution_computation_model/pollution_computation_model.py new file mode 100644 index 00000000..ee34e0ff --- /dev/null +++ b/pollution_v2/src/pollution_connector/pollution_computation_model/pollution_computation_model.py @@ -0,0 +1,102 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +import datetime +import json +import logging +from typing import List, Iterable, Dict + +import pandas as pd + +from common.data_model.common import VehicleClass +from common.data_model.pollution import PollutionEntry, PollutantClass +from common.data_model import TrafficMeasureCollection, TrafficEntry, TrafficSensorStation +from pollution_connector.pollution_computation_model.CopertEmissions import copert_emissions + +logger = logging.getLogger("pollution_connector.pollution_computation_model.pollution_computation_model") + + +class PollutionComputationModel: + + def __init__(self): + pass + + def _compute(self, traffic_df: pd.DataFrame) -> pd.DataFrame: + emissions_df = copert_emissions(traffic_df) + return emissions_df + + @staticmethod + def _get_traffic_dataframe(traffic_entries: Iterable[TrafficEntry]) -> pd.DataFrame: + """ + Get a dataframe from the given traffic entries. The resulting dataframe will have the following columns: + date,time,Location,Station,Lane,Category,Transits,Speed,km + + :param traffic_entries: the traffic entries + :return: the traffic dataframe + """ + temp = [] + for entry in traffic_entries: + + km = None + if "a22_metadata" in entry.station.metadata: + try: + meta: dict = json.loads(entry.station.metadata["a22_metadata"]) + km = meta.get("metro") + except Exception as e: + logger.warning(f"Unable to parse the KM data for station [{entry.station.code}], error [{e}]") + + temp.append({ + "date": entry.valid_time.date().isoformat(), + "time": entry.valid_time.time().isoformat(), + "Location": entry.station.id_strada, + "Station": entry.station.id_stazione, + "Lane": entry.station.id_corsia, + "Category": entry.vehicle_class.value, + "Transits": entry.nr_of_vehicles, + "Speed": entry.average_speed, + "Period": entry.period, + "KM": km + }) + + return pd.DataFrame(temp) + + @staticmethod + def _get_pollution_entries_from_df(pollution_df: pd.DataFrame, stations_dict: Dict[str, TrafficSensorStation]) -> List[PollutionEntry]: + """ + Create a list of PollutionEntry for the given dataframe. The dataframe should have the following columns: + date,time,Location,Station,Lane,Category,km,Pollutant,Total_Transits,E + + :param pollution_df: the pollution dataframe + :param stations_dict: the stations related to the measures in the format station_code: Station + :return: the list of pollution entries + """ + pollution_entries = [] + for _, row in pollution_df.iterrows(): + pollution_entries.append(PollutionEntry( + station=stations_dict[f"{row['Location']}:{row['Station']}:{row['Lane']}"], + valid_time=datetime.datetime.fromisoformat(f"{row['date']}T{row['time']}"), + vehicle_class=VehicleClass(row["Category"]), + pollutant_class=PollutantClass(row["Pollutant"]), + pollutant_value=row["E"], + period=row["Period"] + )) + return pollution_entries + + def compute_pollution_data(self, traffic_measure_collection: TrafficMeasureCollection) -> List[PollutionEntry]: + """ + Compute the pollution measure given the available traffic measures + :param traffic_measure_collection: A collection which contain all the available traffic measures + :return: A list of the new computed pollution measures + """ + traffic_entries = list(traffic_measure_collection.get_traffic_entries()) + + if len(traffic_entries) > 0: + traffic_df = self._get_traffic_dataframe(traffic_entries) + pollution_df = self._compute(traffic_df) + return self._get_pollution_entries_from_df(pollution_df, traffic_measure_collection.get_stations()) + else: + logger.info("0 traffic entries found skipping pollution computation") + return [] diff --git a/pollution_v2/src/pollution_connector/tasks/__init__.py b/pollution_v2/src/pollution_connector/tasks/__init__.py new file mode 100644 index 00000000..a1097782 --- /dev/null +++ b/pollution_v2/src/pollution_connector/tasks/__init__.py @@ -0,0 +1,3 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution_v2/src/pollution_connector/tasks/pollution_computation.py b/pollution_v2/src/pollution_connector/tasks/pollution_computation.py new file mode 100644 index 00000000..8c589ce4 --- /dev/null +++ b/pollution_v2/src/pollution_connector/tasks/pollution_computation.py @@ -0,0 +1,218 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +import itertools +import logging +from datetime import datetime, timedelta +from typing import Optional, List + +from redis.client import Redis + +from common.manager.traffic_station import TrafficStationManager +from pollution_connector.cache.computation_checkpoint import ComputationCheckpointCache, ComputationCheckpoint +from common.connector.collector import ConnectorCollector +from common.data_model.common import Provenance, StationLatestMeasure +from common.data_model.pollution import PollutionMeasure, PollutionMeasureCollection, PollutionEntry +from common.data_model import TrafficMeasureCollection, TrafficSensorStation +from pollution_connector.pollution_computation_model.pollution_computation_model import PollutionComputationModel +from common.settings import DEFAULT_TIMEZONE, ODH_MINIMUM_STARTING_DATE, PROVENANCE_ID, PROVENANCE_LINEAGE, \ + PROVENANCE_NAME, PROVENANCE_VERSION, COMPUTATION_CHECKPOINT_REDIS_HOST, \ + COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_DB, ODH_COMPUTATION_BATCH_SIZE + +logger = logging.getLogger("pollution_connector.tasks.pollution_computation") + + +# not used anymore after refactoring from Celery to Airflow +def compute_pollution_data(min_from_date: Optional[datetime] = None, + max_to_date: Optional[datetime] = None + ) -> None: + """ + Start the computation of a batch of pollution data measures. As starting date for the batch is used the latest + pollution measure available on the ODH, if no pollution measures are available min_from_date is used. + + :param min_from_date: Optional, if set traffic measures before this date are discarded if no pollution measures are available. + If not specified, the default will be taken from the environmental variable `ODH_MINIMUM_STARTING_DATE`. + :param max_to_date: Optional, if set the traffic measure after this date are discarded. + If not specified, the default will be the current datetime. + """ + if min_from_date is None: + min_from_date = ODH_MINIMUM_STARTING_DATE + + if max_to_date is None: + max_to_date = datetime.now(tz=DEFAULT_TIMEZONE) + + checkpoint_cache = None + if COMPUTATION_CHECKPOINT_REDIS_HOST: + logger.info("Enabled checkpoint cache") + checkpoint_cache = ComputationCheckpointCache(Redis(host=COMPUTATION_CHECKPOINT_REDIS_HOST, port=COMPUTATION_CHECKPOINT_REDIS_PORT, db=COMPUTATION_CHECKPOINT_REDIS_DB)) + else: + logger.info("Checkpoint cache disabled") + + collector_connector = ConnectorCollector.build_from_env() + provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION) + manager = PollutionComputationManager(collector_connector, provenance, checkpoint_cache) + manager.run_computation_and_upload_results(min_from_date, max_to_date) + + +class PollutionComputationManager(TrafficStationManager): + + def __init__(self, connector_collector: ConnectorCollector, provenance: Provenance, checkpoint_cache: Optional[ComputationCheckpointCache] = None): + super().__init__(connector_collector) + self._checkpoint_cache = checkpoint_cache + self._provenance = provenance + self._create_data_types = True + + def _get_latest_pollution_measure(self, traffic_station: TrafficSensorStation) -> Optional[PollutionMeasure]: + """ + Retrieve the latest pollution measure for a given station. It will be the oldest one among all the measure types + (CO-emissions, CO2-emissions, ...) even though should be the same for all the types. + + :param traffic_station: The station for which retrieve the latest pollution measure. + :return: The latest pollution measure for a given station. + """ + latest_pollution_measures = self._connector_collector.pollution.get_latest_measures(traffic_station) + if latest_pollution_measures: + self._create_data_types = False + latest_pollution_measures.sort(key=lambda x: x.valid_time) + return latest_pollution_measures[0] + + def _get_starting_date_for_station(self, traffic_station: TrafficSensorStation, min_from_date: datetime) -> datetime: + latest_pollution_measure = self._get_latest_pollution_measure(traffic_station) + if latest_pollution_measure is None: + logger.info(f"No pollution measures available for station [{traffic_station.code}]") + if self._checkpoint_cache is not None: + checkpoint = self._checkpoint_cache.get(ComputationCheckpoint.get_id_for_station(traffic_station)) + if checkpoint is not None: + logger.info(f"Using checkpoint date [{checkpoint.checkpoint_dt.isoformat()}] as starting date for station [{traffic_station.code}]") + from_date = checkpoint.checkpoint_dt + else: + from_date = min_from_date # If there isn't any latest pollution measure available, the min_from_date is used as starting date for the batch + else: + from_date = min_from_date # If there isn't any latest pollution measure available, the min_from_date is used as starting date for the batch + else: + from_date = latest_pollution_measure.valid_time + + if from_date.tzinfo is None: + from_date = DEFAULT_TIMEZONE.localize(from_date) + + if from_date.microsecond: + from_date = from_date.replace(microsecond=0) + + if from_date < min_from_date: + logger.warning(f"Using latest pollution measure date [{from_date.isoformat()}] as starting date, " + f"but it's before the minimum starting date [{min_from_date.isoformat()}]") + elif from_date > min_from_date: + logger.warning(f"Using latest pollution measure date [{from_date.isoformat()}] as starting date, " + f"which is after the minimum starting date [{min_from_date.isoformat()}]") + + return from_date + + @staticmethod + def _compute_pollution_data(traffic_data: TrafficMeasureCollection) -> List[PollutionEntry]: + """ + Compute the pollution data given the traffic data. + + :param traffic_data: The traffic data. + :return: The pollution entries. + """ + model = PollutionComputationModel() + return model.compute_pollution_data(traffic_data) + + def _upload_pollution_data(self, pollution_entries: List[PollutionEntry]) -> None: # If a data is already present it will be not overridden and data before the last measures are not accepted by the ODH + """ + Upload the pollution data on ODH. + + :param pollution_entries: The pollution entries. + """ + + print(f"posting provenance {self._provenance}") + if not self._provenance.provenance_id: + self._provenance.provenance_id = self._connector_collector.pollution.post_provenance(self._provenance) + + print(f"posting data types {PollutionMeasure.get_pollution_data_types()}") + if self._create_data_types: + self._connector_collector.pollution.post_data_types(PollutionMeasure.get_pollution_data_types(), self._provenance) + + pollution_data = PollutionMeasureCollection.build_from_pollution_entries(pollution_entries, self._provenance) + print(f"posting measures {len(pollution_data.measures)}") + self._connector_collector.pollution.post_measures(pollution_data.measures) + + def run_computation_for_station(self, + traffic_station: TrafficSensorStation, + min_from_date: datetime, + max_to_date: datetime): + + start_date = self._get_starting_date_for_station(traffic_station, min_from_date) + + # Detect inactive stations: + # If we're about to request more than one window of measurements, do a check first if there even is any new data + if (max_to_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: + latest_measurement_date = self._get_latest_date_for_station(traffic_station) + # traffic data request range end is the latest measurement + # For inactive stations, this latest measurement date will be < start_date, thus no further requests will be made + # In general, it makes no sense to ask for data beyond the latest measurement, if we already know which date that is. + logger.info(f"Station [{traffic_station.code}] has a large elaboration range. Latest measurement date: {latest_measurement_date}") + max_to_date = min(max_to_date, latest_measurement_date) + + to_date = start_date + + if start_date < max_to_date: + to_date = to_date + timedelta(days=ODH_COMPUTATION_BATCH_SIZE) + if to_date > max_to_date: + to_date = max_to_date + + logger.info(f"Computing pollution data for station [{traffic_station}] in interval [{start_date.isoformat()} - {to_date.isoformat()}]") + + traffic_data = [] + try: + traffic_data = self._download_traffic_data(start_date, to_date, traffic_station) + except Exception as e: + logger.exception( + f"Unable to download traffic data for station [{traffic_station}] in the interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", + exc_info=e) + + if traffic_data: + try: + pollution_entries = self._compute_pollution_data(traffic_data) + self._upload_pollution_data(pollution_entries) + except Exception as e: + logger.exception(f"Unable to compute data from station [{traffic_station}] in the interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", exc_info=e) + + if self._checkpoint_cache is not None: + self._checkpoint_cache.set( + ComputationCheckpoint( + station_code=traffic_station.code, + checkpoint_dt=to_date + ) + ) + + start_date = to_date + + def run_computation_and_upload_results(self, + min_from_date: datetime, + max_to_date: datetime + ) -> None: + """ + Start the computation of a batch of pollution data measures. As starting date for the batch is used the latest + pollution measure available on the ODH, if no pollution measures are available min_from_date is used. + + :param min_from_date: Traffic measures before this date are discarded if no pollution measures are available. + :param max_to_date: Traffic measure after this date are discarded. + """ + + if min_from_date.tzinfo is None: + min_from_date = DEFAULT_TIMEZONE.localize(min_from_date) + + if max_to_date.tzinfo is None: + max_to_date = DEFAULT_TIMEZONE.localize(max_to_date) + + computation_start_dt = datetime.now() + + for traffic_station in self.get_traffic_stations_from_cache(): + self.run_computation_for_station(traffic_station, min_from_date, max_to_date) + + computation_end_dt = datetime.now() + logger.info(f"Completed computation in [{(computation_end_dt - computation_start_dt).seconds}]") diff --git a/pollution_v2/src/tests/__init__.py b/pollution_v2/src/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pollution_v2/src/tests/test_common.py b/pollution_v2/src/tests/test_common.py new file mode 100644 index 00000000..382e7e1e --- /dev/null +++ b/pollution_v2/src/tests/test_common.py @@ -0,0 +1,37 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from unittest import TestCase + +from airflow.models import DagBag + + +class TestPollutionComputerCommon(TestCase): + + def setUp(self): + self.dagbag = DagBag() + self.pollution_computer_dag_id = "pollution_computer" + + # Task IDs + self.get_stations_list_task_id = "get_stations_list" + self.process_station_task_id = "process_station" + self.whats_next_task_id = "whats_next" + + # For each task, the list of its downstream tasks + self.task_dependencies = { + self.get_stations_list_task_id: [self.process_station_task_id], + self.process_station_task_id: [self.whats_next_task_id], + self.whats_next_task_id: [] + } + + self.station_dict = { + "code": "1", + "active": "true", + "available": "true", + "coordinates": "1,1", + "metadata": "metadata", + "name": "station", + "station_type": "type", + "origin": "origin" + } diff --git a/pollution_v2/src/tests/test_pollution_computation.py b/pollution_v2/src/tests/test_pollution_computation.py new file mode 100644 index 00000000..95820e07 --- /dev/null +++ b/pollution_v2/src/tests/test_pollution_computation.py @@ -0,0 +1,159 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +import importlib +from datetime import datetime, timedelta +from unittest import mock +from unittest.mock import patch + +from airflow.models import Variable + +from common.data_model import TrafficSensorStation +from common.settings import ODH_COMPUTATION_BATCH_SIZE, DEFAULT_TIMEZONE +from tests.test_common import TestPollutionComputerCommon + + +class TestPollutionComputerDAGTasks(TestPollutionComputerCommon): + + def setUp(self): + + super().setUp() + + self.min_date = DEFAULT_TIMEZONE.localize(datetime(2022, 1, 1)) + self.max_date = DEFAULT_TIMEZONE.localize(datetime(2024, 1, 31)) + self.latest_date = DEFAULT_TIMEZONE.localize(datetime(2024, 1, 30)) + + @patch("dags.common.TrafficStationsDAG.init_date_range") + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._upload_pollution_data") + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._compute_pollution_data") + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._get_starting_date_for_station") + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._get_latest_date_for_station") + @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") + def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, get_start_date_mock, + compute_mock, upload_mock, init_date_range_mock): + """ + Test that the run_computation_for_station method is called with the correct date range. + """ + batch_size = "30" + with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE=batch_size))): + # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE variable + from common import settings + importlib.reload(settings) + assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE") + + # Get the process_station task + dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) + task = dag.get_task(self.process_station_task_id) + task_function = task.python_callable + init_date_range_mock.return_value = (self.min_date, self.max_date) + + start_date = DEFAULT_TIMEZONE.localize(datetime(2024, 1, 30)) + get_start_date_mock.return_value = start_date + + # Start task to run computation + task_function(self.station_dict) + + station = TrafficSensorStation.from_json(self.station_dict) + + get_start_date_mock.assert_called_once_with(station, self.min_date) + latest_date_mock.assert_not_called() + + # Test that the run_computation_for_station method is called with the correct daily date range + + download_mock.assert_called_once_with(start_date, self.max_date, station) + compute_mock.assert_called_once() + upload_mock.assert_called_once() + + @patch("dags.common.TrafficStationsDAG.init_date_range") + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._upload_pollution_data") + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._compute_pollution_data") + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._get_starting_date_for_station") + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._get_latest_date_for_station") + @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") + def test_run_computation_date_range_when_more_data(self, download_mock, latest_date_mock, get_start_date_mock, + compute_mock, upload_mock, init_date_range_mock): + """ + Test that the run_computation_for_station method is called with the correct date range. + """ + batch_size = "30" + with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE=batch_size))): + # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE variable + from common import settings + importlib.reload(settings) + assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE") + + # Get the process_station task + dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) + task = dag.get_task(self.process_station_task_id) + task_function = task.python_callable + init_date_range_mock.return_value = (self.min_date, self.max_date) + + # start_date is the latest pollution found + # latest_date is the latest traffic data found + start_date = DEFAULT_TIMEZONE.localize(datetime(2023, 1, 1)) + latest_date_mock.return_value = self.latest_date + get_start_date_mock.return_value = start_date + + # The correct end date is the start date plus the batch size + correct_end_date = start_date + timedelta(days=ODH_COMPUTATION_BATCH_SIZE) + + # Start task to run computation + task_function(self.station_dict) + + station = TrafficSensorStation.from_json(self.station_dict) + + get_start_date_mock.assert_called_once_with(station, self.min_date) + if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: + latest_date_mock.assert_called_once_with(station) + else: + latest_date_mock.assert_not_called() + + # Test that the run_computation_for_station method is called with the correct batch date range + # A lot of data is available, so the end date is the start date plus the batch size + download_mock.assert_called_once_with(start_date, correct_end_date, station) + compute_mock.assert_called_once() + upload_mock.assert_called_once() + + @patch("dags.common.TrafficStationsDAG.init_date_range") + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._upload_pollution_data") + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._compute_pollution_data") + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._get_starting_date_for_station") + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._get_latest_date_for_station") + @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") + def test_run_computation_date_range_when_few_data(self, download_mock, latest_date_mock, get_start_date_mock, + compute_mock, upload_mock, init_date_range_mock): + """ + Test that the run_computation_for_station method is called with the correct date range. + """ + batch_size = "30" + with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE=batch_size))): + # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE variable + from common import settings + importlib.reload(settings) + assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE") + + # Get the process_station task + dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) + task = dag.get_task(self.process_station_task_id) + task_function = task.python_callable + init_date_range_mock.return_value = (self.min_date, self.max_date) + + # start_date is the latest pollution found + # latest_date is the latest traffic data found + start_date = DEFAULT_TIMEZONE.localize(datetime(2024, 1, 15)) + latest_date_mock.return_value = self.latest_date + get_start_date_mock.return_value = start_date + + # Start task to run computation + task_function(self.station_dict) + + station = TrafficSensorStation.from_json(self.station_dict) + get_start_date_mock.assert_called_once_with(station, self.min_date) + latest_date_mock.assert_not_called() + + # Test that the run_computation_for_station method is called with the correct batch date range + # Few data is available, so the end date is the max date + download_mock.assert_called_once_with(start_date, self.max_date, station) + compute_mock.assert_called_once() + upload_mock.assert_called_once() diff --git a/pollution_v2/src/tests/test_pollution_connector_dag.py b/pollution_v2/src/tests/test_pollution_connector_dag.py new file mode 100644 index 00000000..c1f27409 --- /dev/null +++ b/pollution_v2/src/tests/test_pollution_connector_dag.py @@ -0,0 +1,73 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +import importlib +from unittest import mock + +import dateutil +import pendulum + +import pytz +from airflow.models import Variable + +from tests.test_common import TestPollutionComputerCommon + + +class TestPollutionComputerDAG(TestPollutionComputerCommon): + + def test_pollution_computer_dag_import(self): + """ + Test that the DAG is correctly imported. + """ + assert self.dagbag.import_errors == {} + assert self.dagbag.dags is not None + assert self.pollution_computer_dag_id in self.dagbag.dags + + dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) + assert self.dagbag.import_errors == {} + assert dag is not None + + dag_tasks = [self.get_stations_list_task_id, self.process_station_task_id, self.whats_next_task_id] + assert len(dag.tasks) == len(dag_tasks) + for task in dag_tasks: + assert dag.has_task(task) + + def test_dag_task_dependencies(self): + """ + Test that the tasks in the DAG are correctly connected. + The task_dependencies dictionary contains the list of downstream tasks for each task. + """ + dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) + for task_id, downstream_list in self.task_dependencies.items(): + assert dag.has_task(task_id) + task = dag.get_task(task_id) + assert task.downstream_task_ids == set(downstream_list) + if len(downstream_list) > 0: + downstream_task = dag.get_task(downstream_list[0]) + assert task in downstream_task.upstream_list + + def test_pollution_computer_dag_starting_date(self): + """ + Test that the DAG has the correct starting date from the ODH_MINIMUM_STARTING_DATE variable. + Change the ODH_MINIMUM_STARTING_DATE variable in the environment and check the DAG starting date is updated. + """ + starting_date = "2021-02-03" + with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE=starting_date))): + # Reloading settings in order to update the ODH_MINIMUM_STARTING_DATE variable + from common import settings + importlib.reload(settings) + assert starting_date == Variable.get("ODH_MINIMUM_STARTING_DATE") + + parsed_date = dateutil.parser.parse(starting_date) + assert parsed_date == settings.ODH_MINIMUM_STARTING_DATE + + # Default timezone set in airflow settings is UTC, so we need to convert the parsed date to that timezone + # If default timezone is changed, update also this test + default_airflow_timezone = pytz.UTC + parsed_date = pendulum.instance(parsed_date.replace(tzinfo=default_airflow_timezone)) + + # Importing the dag after the settings have been reloaded + from dags.aiaas_pollution_computer import dag as pollution_computer_dag + assert parsed_date == pollution_computer_dag.start_date + assert parsed_date == pollution_computer_dag.default_args["start_date"] diff --git a/pollution_v2/src/tests/test_pollution_connector_tasks.py b/pollution_v2/src/tests/test_pollution_connector_tasks.py new file mode 100644 index 00000000..35c60f64 --- /dev/null +++ b/pollution_v2/src/tests/test_pollution_connector_tasks.py @@ -0,0 +1,197 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later +from unittest.mock import patch, ANY, Mock + +import pendulum + +from common.data_model import TrafficSensorStation, StationLatestMeasure +from common.settings import DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN, ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE +from tests.test_common import TestPollutionComputerCommon + + +class TestPollutionComputerDAGTasks(TestPollutionComputerCommon): + + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager.get_traffic_stations_from_cache") + def test_get_traffic_station_is_called(self, get_traffic_stations_mock): + """ + Test that the get_traffic_stations_from_cache method is called when the get_stations_list task is run. + """ + # Run the get_stations_list task + dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) + task = dag.get_task(self.get_stations_list_task_id) + task_function = task.python_callable + + # Mock the stations_to_process parameter to be None + task_function(**{ + "dag_run": Mock(conf={"stations_to_process": None}) + }) + + get_traffic_stations_mock.assert_called_once() + + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager.get_traffic_stations_from_cache") + def test_get_traffic_station_gets_stations_from_cache(self, get_traffic_stations_mock): + """ + Test that the get_traffic_stations_from_cache method is called when the get_stations_list task is run. + """ + # Run the get_stations_list task + dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) + task = dag.get_task(self.get_stations_list_task_id) + task_function = task.python_callable + + # Mock the available list of stations + station_dict_2 = self.station_dict.copy() + station_dict_2["code"] = "station_temp" + get_traffic_stations_mock.return_value = [ + TrafficSensorStation.from_json(self.station_dict), + TrafficSensorStation.from_json(station_dict_2) + ] + + # Mock the stations_to_process parameter to be None + return_value = task_function(**{ + "dag_run": Mock(conf={"stations_to_process": None}) + }) + + # Test that the return value contains the entire list of stations + self.assertEqual(return_value, [self.station_dict, station_dict_2]) + + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager.get_traffic_stations_from_cache") + def test_get_traffic_station_retrieves_passed_stations(self, get_traffic_stations_mock): + """ + Test that the get_traffic_stations_from_cache method is called when the get_stations_list task is run. + """ + # Run the get_stations_list task + dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) + task = dag.get_task(self.get_stations_list_task_id) + task_function = task.python_callable + + # Mock the available list of stations + station_dict_2 = self.station_dict.copy() + station_dict_2["code"] = "station_temp" + get_traffic_stations_mock.return_value = [ + TrafficSensorStation.from_json(self.station_dict), + TrafficSensorStation.from_json(station_dict_2) + ] + + # Mock the stations_to_process parameter to be only one value + return_value = task_function(**{ + "dag_run": Mock(conf={"stations_to_process": [self.station_dict["code"]]}) + }) + + # Test that the return value contains only the passed station + self.assertEqual(return_value, [self.station_dict]) + + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager.run_computation_for_station") + def test_run_computation_for_station_is_called(self, run_computation_for_station_mock): + """ + Test that the run_computation_for_station method is called when the process_station task is run. + """ + # Run the process_station task + dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) + task = dag.get_task(self.process_station_task_id) + task_function = task.python_callable + task_function(self.station_dict) + + run_computation_for_station_mock.assert_called_once() + + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager.run_computation_for_station") + def test_run_computation_for_station_gets_correct_input(self, run_computation_for_station_mock): + """ + Test that the run_computation_for_station method is called when the process_station task is run. + """ + # Run the process_station task + dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) + task = dag.get_task(self.process_station_task_id) + task_function = task.python_callable + task_function(self.station_dict) + + run_computation_for_station_mock.assert_called_once_with( + TrafficSensorStation.from_json(self.station_dict), + ANY, # This corresponds to the min_from_date parameter + ANY # This corresponds to the max_to_date parameter + ) + + @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.execute") + @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.__init__") + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager.get_all_latest_measures") + def test_trigger_next_dag_run_triggers_task_with_station(self, get_all_latest_measure_mock, trigger_dag_run_mock, + trigger_dag_run_execute_mock): + """ + Test that the TriggerDagRunOperator is called when the whats_next task is run with a station with remaining data. + """ + trigger_dag_run_mock.return_value = None + + # Mock self.station_dict to have remaining data + included_date = pendulum.now().subtract(hours=DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN+1) + get_all_latest_measure_mock.return_value = [ + StationLatestMeasure(self.station_dict["code"], included_date), + ] + + # Run the whats_next task + dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) + task = dag.get_task(self.whats_next_task_id) + task_function = task.python_callable + task_function([self.station_dict]) + + # Test that the get_all_latest_measures method is called + trigger_dag_run_mock.assert_called_once() + + # Test that the trigger_dag_run method is called + trigger_dag_run_mock.assert_called_once_with( + task_id="run_again_the_dag", + dag=dag, + trigger_dag_id=self.pollution_computer_dag_id, + conf={"stations_to_process": [self.station_dict["code"]]} + ) + trigger_dag_run_execute_mock.assert_called_once() + + @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.execute") + @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.__init__") + @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager.get_all_latest_measures") + def test_trigger_next_dag_run_passes_correct_stations(self, get_all_latest_measures_mock, trigger_dag_run_mock, + trigger_dag_run_execute_mock): + """ + Test that the trigger_next_dag_run method is called with the correct input when the whats_next task is run. + """ + trigger_dag_run_mock.return_value = None + + span_hours = DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN + included_date = pendulum.now().subtract(hours=span_hours+1) + excluded_date = pendulum.now().subtract(hours=span_hours-1) + get_all_latest_measures_mock.return_value = [ + StationLatestMeasure("station_1", included_date), + StationLatestMeasure("station_2", excluded_date), + StationLatestMeasure("station_3", included_date), + StationLatestMeasure("station_4", excluded_date) + ] + + # Run the whats_next task + dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) + task = dag.get_task(self.whats_next_task_id) + task_function = task.python_callable + task_function([self.station_dict]) + + # Test that the get_all_latest_measures method is called + get_all_latest_measures_mock.assert_called_once() + + # Test that the trigger_dag_run method is called with the correct input + trigger_dag_run_mock.assert_called_once_with( + task_id="run_again_the_dag", + dag=dag, + trigger_dag_id=self.pollution_computer_dag_id, + conf={"stations_to_process": ["station_1", "station_3"]} + ) + + trigger_dag_run_execute_mock.assert_called_once() + + def test_init_date_range(self): + """ + Test that the init_date_range method returns the correct date range. + """ + # Run the init_date_range method + dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) + min_from_date, max_to_date = dag.init_date_range(None, None) + + # Test that the returned date range is correct + self.assertEqual(min_from_date, DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE)) + assert max_to_date > min_from_date diff --git a/pollution_v2/src/validator/Moduli.py b/pollution_v2/src/validator/Moduli.py new file mode 100644 index 00000000..cecc97ca --- /dev/null +++ b/pollution_v2/src/validator/Moduli.py @@ -0,0 +1,207 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- + +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +import pandas as pd +import numpy as np +import yaml +import matplotlib.pyplot as plt + + +class Parametri: + def __init__(self, file_yaml): + with open(file_yaml, 'r') as file: + self.parametri = yaml.safe_load(file) + + def database(self, param): + return self.parametri['db_path'][param] + + def layer1(self, param): + return self.parametri['Layer1'][param] + + def layer1_1(self, param): + return self.parametri['Layer1_1'][param] + + def layer2(self, param): + return self.parametri['Layer2'][param] + + +class Dominio: + def __init__(self): + self.station_list = [] + self.layer1_not_valid = [] + self.layer1_1_not_valid = [] + self.layer2_not_valid = [] + self.layer3_not_valid = [] + + def add_station(self, station): + self.station_list.append(station) + + def layer1_not_valid_station(self, station): + self.layer1_not_valid.append(station) + + def layer1_1_not_valid_station(self, station): + self.layer1_1_not_valid.append(station) + + def layer2_not_valid_station(self, station): + self.layer2_not_valid.append(station) + + def layer3_not_valid_station(self, station): + self.layer3_not_valid.append(station) + + def zscore_statistics(self): + zscore_list = [stazione.zscore for stazione in self.station_list] + media_zscore = np.mean(zscore_list) + deviazione_std_zscore = np.std(zscore_list) + self.stats1_1 = {'mean': media_zscore, 'std': deviazione_std_zscore} + + +class Station: + # Inizializza l'oggetto stazione con le caratteristiche identificative + # e i dati giornalieri. + def __init__(self, data, history, ID, direction, chilometriche, N): + self.ID = int(ID) + self.direction = direction + self.km = chilometriche.get(ID) + self.raw = data[(data['station'] == ID) & (data['direction'] == direction)] + self.daily = int(self.raw['value'].sum()) + self.getStats(history, chilometriche, N) + # self.stats = self.getStats(history, chilometriche, N) + + # Calcolo delle statistiche relative alla stazione: media e std. + # Se le statistiche non sono presenti per questa stazione, prendi le statistiche + # delle N stazioni vicine. + def getStats(self, history, chilometriche, N): + self.lane_selector() + # -----------------> la condizione dovrebbe essere: se le giornate di dati storici non sono in numero sufficiente: da decidere!!! + if self.ID not in history['station'].values: + nearest = self.nearest_stations(chilometriche, history, N) + history_data = history[(history['station'].isin(nearest)) & (history['lane'].isin(self.lane))] + history_data = history_data.groupby(['date', 'lane', 'daytype'])['total_traffic'].mean().reset_index() + print(f'{self.ID:<4} {self.direction:<4} no history, get statistics from {nearest} stations') + else: + history_data = history[(history['station'] == self.ID) & (history['lane'].isin(self.lane))] + print(f'{self.ID:<4} {self.direction:<4}') + agg_hist = history_data[history_data['lane'].isin(self.lane)].groupby(['date', 'daytype']).agg( + {'total_traffic': 'sum'}).reset_index() + self.layer1_stats = agg_hist['total_traffic'].agg(['mean', 'std']).to_dict() + + # Calcolo statistiche distribuzione corsie per layer 2 + layer2_hist = history_data.pivot_table(index='date', columns='lane', values='total_traffic', aggfunc='mean') + layer2_hist['ratio'] = layer2_hist[self.lane[0]] / layer2_hist[self.lane[1]] + self.layer2_stats = layer2_hist['ratio'].agg(['mean', 'std']).to_dict() + + # Identifica le N stazioni a valle e le N stazioni a monte più vicine. + def nearest_stations(self, chilometriche, history, N): + hist_stations = {k: v for k, v in chilometriche.items() if k in history['station'].unique()} + diff = {k: abs(v - self.km) for k, v in hist_stations.items()} + stations_sort = sorted(diff.items(), key=lambda x: x[1]) + nearest = [key for key, _ in stations_sort[:2 * N]] + return nearest + + # Seleziona il numero delle corsie in base alla direzione di marcia + def lane_selector(self): + if self.direction == 'NORD': + self.lane = ['1', '2'] + elif self.direction == 'SUD': + self.lane = ['3', '4'] + else: + self.lane = [] + + # Calcola lo z-score per i dati giornalieri. + def zScore_1(self): + self.zscore = (self.daily - self.layer1_stats['mean']) / self.layer1_stats['std'] + + # Conferma la validazione (layer 1.1) confrontando tra varie stazioni + def zScore1_1(self, dominio): + self.zscore1_1 = (self.zscore - dominio.stats1_1['mean']) / dominio.stats1_1['std'] + + # Definisci se un set di dati giornalieri è valido o meno in base ai limiti + # imposti sullo z-score + def layer1_validation(self, limit): + if limit.layer1('low') is None and limit.layer1('high') is None: + self.layer1 = True + else: + if limit.layer1('low') is None: + if self.zscore <= limit.layer1('high'): + self.layer1 = True + else: + self.layer1 = False + elif limit.layer1('high') is None: + if self.zscore >= limit.layer1('low'): + self.layer1 = True + else: + self.layer1 = False + else: + if (self.zscore >= limit.layer1('low')) and (self.zscore <= limit.layer1('high')): + self.layer1 = True + else: + self.layer1 = False + + def layer1_1_validation(self, limit, dominio): + if limit.layer1_1('low') is None and limit.layer1_1('high') is None: + self.layer1_1 = True + else: + if limit.layer1_1('low') is None: + if self.zscore1_1 <= limit.layer1('high'): + self.layer1_1 = True + else: + self.layer1 = False + elif limit.layer1_1('high') is None: + if self.zscore1_1 >= limit.layer1_1('low'): + self.layer1_1 = True + else: + self.layer1_1 = False + else: + if (self.zscore1_1 >= limit.layer1_1('low')) and (self.zscore1_1 <= limit.layer1_1('high')): + self.layer1_1 = True + else: + self.layer1_1 = False + + def layer3_validation(self): + df = self.raw.groupby(['time', 'station', 'direction'])['value'].sum().reset_index() + df['derivata'] = df['value'].pct_change() * 100 + df['is_valid'] = np.where(( + ((df['derivata'] <= -100) & df['value'] > 50) | # Condizione derivata negativa + (df['value'].rolling(window=3).sum() == 0) # Condizione per almeno 3 zeri consecutivi + ), False, True) + self.layer3 = df[['time', 'is_valid']].set_index('time')['is_valid'].to_dict() + + def plot(self, layer): + dir_df = self.raw[self.raw['direction'] == self.direction] + agg_dir_df = dir_df.groupby('time')['value'].sum().reset_index() + # agg_dir_df['time'] = pd.to_datetime(agg_dir_df['time']) + agg_dir_df.plot(x='time', y='value', rot=90, figsize=(10, 6)) + if layer == 'layer3': + # self.layer3 = {pd.to_datetime(key): value for key, value in self.layer3.items()} + self.merged = agg_dir_df.merge(pd.DataFrame(list(self.layer3.items()), columns=['time', 'is_valid']), + on='time', how='left') + plt.scatter(self.merged.index[~self.merged['is_valid']], self.merged['value'][~self.merged['is_valid']], + color='red', label='Invalid Values', s=50) + plt.ylabel('Value') + plt.grid(True) + plt.tight_layout() + plt.legend() + plt.show() + +# DEPRECATED +# def validation(data, params): +# # ciclo sulle stazioni, calcola z-score +# out = [] +# for station_code in data.station_list: +# # inizializza l'oggetto stazione +# s = Station(data.raw_data, data.history, station_code, data.chilometriche, params.layer1('n')) +# # calcolo Z-score +# s.zScore() +# # assegna flag di validità basato su confronto z-score con valori limite +# s.validationFlag(params) +# # lista risultati +# out.append(s.daily) + +# dfout = pd.concat(out, ignore_index=True) +# dfout = dfout.sort_values(by=['direction','km']) +# output = pd.merge(data.raw_data, dfout[['station', 'direction', 'is_valid']], on=['station', 'direction'], how='left') +# return output diff --git a/pollution_v2/src/validator/__init__.py b/pollution_v2/src/validator/__init__.py new file mode 100644 index 00000000..a1097782 --- /dev/null +++ b/pollution_v2/src/validator/__init__.py @@ -0,0 +1,3 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution_v2/src/validator/dataConnector.py b/pollution_v2/src/validator/dataConnector.py new file mode 100644 index 00000000..91976939 --- /dev/null +++ b/pollution_v2/src/validator/dataConnector.py @@ -0,0 +1,82 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +Created on Thu Dec 21 15:07:03 2023 + +@author: nicola +""" + +import sqlite3 +import holidays +import datetime +import pandas as pd + + +class Input: + def __init__(self, day, db_path): + self.day = datetime.datetime.strptime(day, '%Y-%m-%d').date() + self.chilometriche = self.get_km(db_path) + self.history = self.get_history(db_path) + self.raw_data = self.get_raw_data(db_path) + self.station_list = self.get_stations() + + def get_history(self, db_path): + conn = sqlite3.connect(db_path) + cursor = conn.cursor() + query = "SELECT * FROM history" + cursor.execute(query) + hist = cursor.fetchall() + conn.close() + hist = pd.DataFrame(hist) + hist.columns = ['date', 'station', 'lane', 'total_traffic'] + hist['station'] = hist['station'].astype(int) + hist['date'] = pd.to_datetime(hist['date']) + hist = hist[hist['date'].dt.month == self.day.month] + + # QUESTO RALLENTA PARECCHIO IL CODICE ################################# + hist['daytype'] = hist['date'].apply(get_daytype) + ####################################################################### + + hist = hist[hist['daytype'] == get_daytype(self.day)] + return hist + + def get_raw_data(self, db_path): + conn = sqlite3.connect(db_path) + cursor = conn.cursor() + query = f"SELECT * FROM ODH_raw_data WHERE time LIKE '{self.day}%'" + cursor.execute(query) + raw_data = cursor.fetchall() + conn.close() + raw_data = pd.DataFrame(raw_data) + raw_data.columns = ['time', 'value', 'station_code', 'variable'] + raw_data[['domain', 'station', 'lane']] = raw_data['station_code'].str.split(':', expand=True) + raw_data['direction'] = raw_data['lane'].map( + {'1': 'NORD', '2': 'NORD', '3': 'SUD', '4': 'SUD', '5': 'NORD', '6': 'SUD'}) + raw_data['station'] = raw_data['station'].astype(int) + raw_data['km'] = raw_data['station'].map(self.chilometriche) + return raw_data + + def get_km(self, db_path): + conn = sqlite3.connect(db_path) + cursor = conn.cursor() + query = "SELECT * FROM km" + cursor.execute(query) + data = cursor.fetchall() + conn.close() + km = dict(data) + return km + + def get_stations(self): + return self.raw_data[['station', 'direction']].drop_duplicates() + + +def get_daytype(date): + if date.weekday() >= 5 or date in holidays.Italy(): + tipo = 'Festivo' + else: + tipo = 'Feriale' + return tipo diff --git a/pollution_v2/src/validator/db_to_db.R b/pollution_v2/src/validator/db_to_db.R new file mode 100644 index 00000000..18ab0879 --- /dev/null +++ b/pollution_v2/src/validator/db_to_db.R @@ -0,0 +1,37 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +library(dplyr) +library(RSQLite) +library(lubridate) + +conn <- dbConnect(RSQLite::SQLite(), "/home/nicola/lavori_local/2023_21_INF_OpenDataHub/08-software/validator/data/input/A22trafficdata.db") +query <- "SELECT * FROM A22trafficdata" +result <- dbGetQuery(conn, query) +dbDisconnect(conn) + +df <- result %>% + pivot_longer(cols = -c(datetime, spira), + names_to = "variable", + values_to = "value") %>% + mutate( + station_code = as.numeric(gsub("[^0-9]", "", variable)), + station_code = paste0("A22:", spira, ":", station_code), + variable = gsub("[^a-z]", "", variable) + ) %>% + mutate(variable = case_when(variable == 'b' ~ 'Nr. Buses', + variable == 'l' ~ 'Nr. Light Vehicles', + variable == 'p'~ 'Nr. Heavy Vehicles')) %>% + select(time = datetime, station_code, variable, value) %>% + + + mutate(time = ymd_hm(time), + date = date(time)) %>% + mutate(lane = sapply(strsplit(station_code, ":"), function(x) x[3])) %>% + mutate(direction = case_when(lane == 1 | lane == 2 ~ 'NORD', + lane == 3 | lane == 4 ~ 'SUD')) + +conn <- dbConnect(RSQLite::SQLite(), "/home/nicola/lavori_local/2023_21_INF_OpenDataHub/08-software/validator/data/input/odh.db") +dbWriteTable(conn, "ODH_raw_data", df, append = TRUE) +dbDisconnect(conn) diff --git a/pollution_v2/src/validator/main.py b/pollution_v2/src/validator/main.py new file mode 100644 index 00000000..01762d28 --- /dev/null +++ b/pollution_v2/src/validator/main.py @@ -0,0 +1,74 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +from validator.Moduli import Parametri, Dominio, Station +from validator.dataConnector import Input + +# ----------------------------------------------------------------------------- +# Config +# ----------------------------------------------------------------------------- +params = Parametri('../../config/validator.yaml') +db = params.parametri['db_path'] +day = params.parametri['day'] +plot = params.parametri['plot'] +# ----------------------------------------------------------------------------- +# Inizializzazione stazioni +# ----------------------------------------------------------------------------- +print(f'...initializing data for day {day}') +data = Input(day, db) +A22 = Dominio() +for index, row in data.station_list.iterrows(): + stationID = row['station'] + direction = row['direction'] + # inizializza l'oggetto stazione + s = Station(data.raw_data, data.history, stationID, direction, data.chilometriche, params.layer1('n')) + A22.add_station(s) +print('...validation starting') + +# ----------------------------------------------------------------------------- +# Layer 1 +# ----------------------------------------------------------------------------- +for s in A22.station_list: + # calcolo Z-score + s.zScore_1() + # assegna flag di validità basato su confronto z-score con valori limite + s.layer1_validation(params) + if s.layer1 == False: + print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1') + if plot: + s.plot('layer1') + A22.layer1_not_valid_station(s) +# ----------------------------------------------------------------------------- +# Layer 1.1 - update validation flag dopo confronto con altre stazioni +# ----------------------------------------------------------------------------- +A22.zscore_statistics() +for s in A22.station_list: + s.zScore1_1(A22) + s.layer1_1_validation(params, A22) + if s.layer1_1 == False: + if s in A22.layer1_not_valid: + print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1 (confirmed)') + else: + print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1') + A22.layer1_1_not_valid_station(s) +# ----------------------------------------------------------------------------- +# Layer 2 +# ----------------------------------------------------------------------------- +# da concludere... +# ----------------------------------------------------------------------------- +# Layer 3 +# ----------------------------------------------------------------------------- +for s in A22.station_list: + s.layer3_validation() + if any(not value for value in s.layer3.values()): + print(f'{s.ID:<4} {s.direction:<4} not valid for layer 3') + if plot: + s.plot('layer3') + A22.layer3_not_valid_station(s) +print('...validation complete!') +# ----------------------------------------------------------------------------- +# Output - struttura dati da concordare... +# ----------------------------------------------------------------------------- From 230922b290b2ef38b1379d940970ca1c9ed0e3e6 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 23 Feb 2024 16:01:22 +0100 Subject: [PATCH 003/154] recover changes lost while squashing --- pollution_v2/README.md | 2 ++ .../src/common/data_model/__init__.py | 2 +- pollution_v2/src/common/data_model/common.py | 2 +- .../src/common/manager/traffic_station.py | 26 ++++++++++++++++--- .../tasks/pollution_computation.py | 7 +++-- 5 files changed, 31 insertions(+), 8 deletions(-) diff --git a/pollution_v2/README.md b/pollution_v2/README.md index 4b150bdb..afba85bf 100644 --- a/pollution_v2/README.md +++ b/pollution_v2/README.md @@ -25,6 +25,8 @@ The TrafficData is periodically pulled from the A22 collection, data validation The following sequence diagram describes how Airflow and the DAGs (validation or pollution computing) interact in order to process ODH data. +![sequence diagram](./documentation/UML Sequence Diagram.png) + Please note the following, apparently contrasting with Airflow capabilities of scheduling DAGs in backfill mode. diff --git a/pollution_v2/src/common/data_model/__init__.py b/pollution_v2/src/common/data_model/__init__.py index 3c0f632c..a9d426db 100644 --- a/pollution_v2/src/common/data_model/__init__.py +++ b/pollution_v2/src/common/data_model/__init__.py @@ -1,6 +1,6 @@ # SPDX-FileCopyrightText: NOI Techpark # # SPDX-License-Identifier: AGPL-3.0-or-later -from .common import VehicleClass, MeasureCollection, Measure, Provenance, DataType +from .common import VehicleClass, MeasureCollection, Measure, Provenance, DataType, StationLatestMeasure, Station from .traffic import TrafficSensorStation, TrafficMeasure, TrafficMeasureCollection, TrafficEntry from .pollution import PollutionEntry, PollutantClass, PollutionMeasure, PollutionMeasureCollection diff --git a/pollution_v2/src/common/data_model/common.py b/pollution_v2/src/common/data_model/common.py index e31e775c..1ca7d7d8 100644 --- a/pollution_v2/src/common/data_model/common.py +++ b/pollution_v2/src/common/data_model/common.py @@ -161,7 +161,7 @@ def from_json(cls, dict_data) -> Station: @dataclass -class StationLatestMeasure(): +class StationLatestMeasure: def __init__(self, station_code, latest_time): self.station_code = station_code diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index c7fdca20..b19608e8 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -4,12 +4,13 @@ from __future__ import absolute_import, annotations +import itertools import logging from datetime import datetime from typing import List from common.connector.collector import ConnectorCollector -from common.data_model import TrafficMeasureCollection, TrafficSensorStation +from common.data_model import TrafficMeasureCollection, TrafficSensorStation, StationLatestMeasure from common.settings import ODH_MINIMUM_STARTING_DATE logger = logging.getLogger("common.manager.traffic_station") @@ -27,9 +28,26 @@ def get_traffic_stations_from_cache(self) -> List[TrafficSensorStation]: self._traffic_stations = self._get_station_list() return self._traffic_stations - def get_latest_date_for_station(self, traffic_station: TrafficSensorStation) -> datetime: - measures = self._connector_collector.traffic.get_latest_measures(station=traffic_station) - return max(list(map(lambda m: m.valid_time, measures)), default=ODH_MINIMUM_STARTING_DATE) + def get_all_latest_measures(self) -> List[StationLatestMeasure]: + """ + Returns a list of stations with its latest measure date. + + :return: List of stations with its latest measure date. + """ + all_measures = self._connector_collector.traffic.get_latest_measures() + + grouped = {} + for station_code, values in itertools.groupby(all_measures, lambda m: m.station.code): + tmp = list(values) + if len(tmp) > 0: + grouped[station_code] = tmp + + res = [] + for key, value in grouped.items(): + res.append(StationLatestMeasure(key, max(list(map(lambda m: m.valid_time, value)), + default=ODH_MINIMUM_STARTING_DATE))) + + return res def _get_station_list(self) -> List[TrafficSensorStation]: """ diff --git a/pollution_v2/src/pollution_connector/tasks/pollution_computation.py b/pollution_v2/src/pollution_connector/tasks/pollution_computation.py index 8c589ce4..e763641d 100644 --- a/pollution_v2/src/pollution_connector/tasks/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/tasks/pollution_computation.py @@ -4,7 +4,6 @@ from __future__ import absolute_import, annotations -import itertools import logging from datetime import datetime, timedelta from typing import Optional, List @@ -14,7 +13,7 @@ from common.manager.traffic_station import TrafficStationManager from pollution_connector.cache.computation_checkpoint import ComputationCheckpointCache, ComputationCheckpoint from common.connector.collector import ConnectorCollector -from common.data_model.common import Provenance, StationLatestMeasure +from common.data_model.common import Provenance from common.data_model.pollution import PollutionMeasure, PollutionMeasureCollection, PollutionEntry from common.data_model import TrafficMeasureCollection, TrafficSensorStation from pollution_connector.pollution_computation_model.pollution_computation_model import PollutionComputationModel @@ -110,6 +109,10 @@ def _get_starting_date_for_station(self, traffic_station: TrafficSensorStation, return from_date + def _get_latest_date_for_station(self, traffic_station: TrafficSensorStation) -> datetime: + measures = self._connector_collector.traffic.get_latest_measures(station=traffic_station) + return max(list(map(lambda m: m.valid_time, measures)), default=ODH_MINIMUM_STARTING_DATE) + @staticmethod def _compute_pollution_data(traffic_data: TrafficMeasureCollection) -> List[PollutionEntry]: """ From a45d1e3857cfa32f18a5a822ea817d13111abd21 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 23 Feb 2024 17:16:44 +0100 Subject: [PATCH 004/154] pollution_v2: added changelog for release 2024.02.23 --- pollution_v2/CHANGELOG.md | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/pollution_v2/CHANGELOG.md b/pollution_v2/CHANGELOG.md index 7a8a7d47..52b551ff 100644 --- a/pollution_v2/CHANGELOG.md +++ b/pollution_v2/CHANGELOG.md @@ -8,6 +8,11 @@ SPDX-License-Identifier: CC0-1.0 [[_TOC_]] -## Version 0.* +## Version 2024.* -### 0.1.0 +### 2024.02.23 + +:rocket: New features +* Airflow as workflow management. +* Draft for data validation workflow. +* Deployment on https://noi.u-hopper.com. From 236e69103e2c18e4750ca532c1bf4e4f09c41d0a Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Tue, 27 Feb 2024 10:38:30 +0100 Subject: [PATCH 005/154] pollution: trigger ci --- .github/workflows/ci-pollution.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/workflows/ci-pollution.yml b/.github/workflows/ci-pollution.yml index cf9764a0..455321aa 100644 --- a/.github/workflows/ci-pollution.yml +++ b/.github/workflows/ci-pollution.yml @@ -157,7 +157,6 @@ jobs: # Force python to not buffer stdout X_PYTHONUNBUFFERED: "true" - - name: Build and push images uses: noi-techpark/github-actions/docker-build-and-push@v2 with: From 3dc4bc18a2dbfa0f55a06802a1262ceee0a3de34 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 1 Mar 2024 10:18:56 +0100 Subject: [PATCH 006/154] first refactoring steps, rename and order among classes and packages - issue #23 --- .../common => }/__init__.py | 0 .../common/logging.py | 0 pollution_v2/src/main_pollution_connector.py | 103 ++++++++++++++++++ pollution_v2/src/pollution_connector/main.py | 60 ---------- .../__init__.py | 0 .../pollution_computation.py | 38 +------ .../CopertEmissions.py | 0 .../{tasks => model}/__init__.py | 0 .../input/blacklist.txt | 0 .../input/copert55.db | Bin .../input/fc_info.csv | 0 .../input/geometry.csv | 0 .../input/km.csv | 0 .../pollution_computation_model.py | 0 pollution_v2/src/validator/model/__init__.py | 5 + 15 files changed, 109 insertions(+), 97 deletions(-) rename pollution_v2/src/{pollution_connector/common => }/__init__.py (100%) rename pollution_v2/src/{pollution_connector => }/common/logging.py (100%) create mode 100644 pollution_v2/src/main_pollution_connector.py delete mode 100644 pollution_v2/src/pollution_connector/main.py rename pollution_v2/src/pollution_connector/{pollution_computation_model => manager}/__init__.py (100%) rename pollution_v2/src/pollution_connector/{tasks => manager}/pollution_computation.py (82%) rename pollution_v2/src/pollution_connector/{pollution_computation_model => model}/CopertEmissions.py (100%) rename pollution_v2/src/pollution_connector/{tasks => model}/__init__.py (100%) rename pollution_v2/src/pollution_connector/{pollution_computation_model => model}/input/blacklist.txt (100%) rename pollution_v2/src/pollution_connector/{pollution_computation_model => model}/input/copert55.db (100%) rename pollution_v2/src/pollution_connector/{pollution_computation_model => model}/input/fc_info.csv (100%) rename pollution_v2/src/pollution_connector/{pollution_computation_model => model}/input/geometry.csv (100%) rename pollution_v2/src/pollution_connector/{pollution_computation_model => model}/input/km.csv (100%) rename pollution_v2/src/pollution_connector/{pollution_computation_model => model}/pollution_computation_model.py (100%) create mode 100644 pollution_v2/src/validator/model/__init__.py diff --git a/pollution_v2/src/pollution_connector/common/__init__.py b/pollution_v2/src/__init__.py similarity index 100% rename from pollution_v2/src/pollution_connector/common/__init__.py rename to pollution_v2/src/__init__.py diff --git a/pollution_v2/src/pollution_connector/common/logging.py b/pollution_v2/src/common/logging.py similarity index 100% rename from pollution_v2/src/pollution_connector/common/logging.py rename to pollution_v2/src/common/logging.py diff --git a/pollution_v2/src/main_pollution_connector.py b/pollution_v2/src/main_pollution_connector.py new file mode 100644 index 00000000..c43c44b9 --- /dev/null +++ b/pollution_v2/src/main_pollution_connector.py @@ -0,0 +1,103 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +import argparse +import logging.config + +import dateutil.parser +import sentry_sdk + +from common.logging import get_logging_configuration + +import logging +from datetime import datetime +from typing import Optional + +from redis.client import Redis + +from pollution_connector.cache.computation_checkpoint import ComputationCheckpointCache +from common.connector.collector import ConnectorCollector +from common.data_model.common import Provenance +from common.settings import DEFAULT_TIMEZONE, ODH_MINIMUM_STARTING_DATE, PROVENANCE_ID, PROVENANCE_LINEAGE, \ + PROVENANCE_NAME, PROVENANCE_VERSION, COMPUTATION_CHECKPOINT_REDIS_HOST, \ + COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_DB, SENTRY_SAMPLE_RATE +from pollution_connector.tasks.pollution_computation import PollutionComputationManager + +logging.config.dictConfig(get_logging_configuration("main_pollution_connector")) +logger = logging.getLogger("main_pollution_connector") + +sentry_sdk.init( + traces_sample_rate=SENTRY_SAMPLE_RATE, + integrations=[] +) + + +def compute_pollution_data(min_from_date: Optional[datetime] = None, + max_to_date: Optional[datetime] = None + ) -> None: + """ + Start the computation of a batch of pollution data measures. As starting date for the batch is used the latest + pollution measure available on the ODH, if no pollution measures are available min_from_date is used. + + :param min_from_date: Optional, if set traffic measures before this date are discarded if no pollution measures are available. + If not specified, the default will be taken from the environmental variable `ODH_MINIMUM_STARTING_DATE`. + :param max_to_date: Optional, if set the traffic measure after this date are discarded. + If not specified, the default will be the current datetime. + """ + if min_from_date is None: + min_from_date = ODH_MINIMUM_STARTING_DATE + + if max_to_date is None: + max_to_date = datetime.now(tz=DEFAULT_TIMEZONE) + + checkpoint_cache = None + if COMPUTATION_CHECKPOINT_REDIS_HOST: + logger.info("Enabled checkpoint cache") + checkpoint_cache = ComputationCheckpointCache(Redis(host=COMPUTATION_CHECKPOINT_REDIS_HOST, port=COMPUTATION_CHECKPOINT_REDIS_PORT, db=COMPUTATION_CHECKPOINT_REDIS_DB)) + else: + logger.info("Checkpoint cache disabled") + + collector_connector = ConnectorCollector.build_from_env() + provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION) + manager = PollutionComputationManager(collector_connector, provenance, checkpoint_cache) + manager.run_computation_and_upload_results(min_from_date, max_to_date) + + +if __name__ == "__main__": + + arg_parser = argparse.ArgumentParser(description="Manually run a pollution (v2) computation") + arg_parser.add_argument("-f", "--from-date", type=str, required=False, + help="The starting date[time] in isoformat (up to one second level of precision, milliseconds for the from date field are not supported in ODH) for downloading data from ODH if no pollution measures are available") + + arg_parser.add_argument("-t", "--to-date", type=str, required=False, + help="The end date[time] in isoformat for downloading the traffic measures. If not specified, the default will be the current datetime") + + arg_parser.add_argument("--run-async", action="store_true", help="If set it run the task in the celery cluster") + args = arg_parser.parse_args() + + if args.from_date: + from_date = dateutil.parser.parse(args.from_date) + if from_date.tzinfo is None: + from_date = DEFAULT_TIMEZONE.localize(from_date) + if from_date.microsecond: + from_date = from_date.replace(microsecond=0) + else: + from_date = None + + if args.to_date: + to_date = dateutil.parser.parse(args.to_date) + if to_date.tzinfo is None: + to_date = DEFAULT_TIMEZONE.localize(to_date) + else: + to_date = None + + compute_pollution_data(min_from_date=from_date, max_to_date=to_date) + '''if args.run_async: + task: AsyncResult = compute_pollution_data.delay(min_from_date=from_date, max_to_date=to_date) + logger.info(f"Scheduled async pollution computation. Task ID: [{task.task_id}]") + else: + logger.info("Staring pollution computation") + compute_pollution_data(min_from_date=from_date, max_to_date=to_date)''' diff --git a/pollution_v2/src/pollution_connector/main.py b/pollution_v2/src/pollution_connector/main.py deleted file mode 100644 index 59a1fc14..00000000 --- a/pollution_v2/src/pollution_connector/main.py +++ /dev/null @@ -1,60 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -import argparse -import logging.config - -import dateutil.parser -import sentry_sdk -from celery.result import AsyncResult - -from pollution_connector.common.logging import get_logging_configuration -from common.settings import DEFAULT_TIMEZONE, SENTRY_SAMPLE_RATE -from pollution_connector.tasks.pollution_computation import compute_pollution_data - -logging.config.dictConfig(get_logging_configuration("pollution_v2_connector")) -logger = logging.getLogger("pollution_v2_connector") - -sentry_sdk.init( - traces_sample_rate=SENTRY_SAMPLE_RATE, - integrations=[] -) - -if __name__ == "__main__": - - arg_parser = argparse.ArgumentParser(description="Manually run a pollution (v2) computation") - arg_parser.add_argument("-f", "--from-date", type=str, required=False, - help="The starting date[time] in isoformat (up to one second level of precision, milliseconds for the from date field are not supported in ODH) for downloading data from ODH if no pollution measures are available") - - arg_parser.add_argument("-t", "--to-date", type=str, required=False, - help="The end date[time] in isoformat for downloading the traffic measures. If not specified, the default will be the current datetime") - - arg_parser.add_argument("--run-async", action="store_true", help="If set it run the task in the celery cluster") - args = arg_parser.parse_args() - - if args.from_date: - from_date = dateutil.parser.parse(args.from_date) - if from_date.tzinfo is None: - from_date = DEFAULT_TIMEZONE.localize(from_date) - if from_date.microsecond: - from_date = from_date.replace(microsecond=0) - else: - from_date = None - - if args.to_date: - to_date = dateutil.parser.parse(args.to_date) - if to_date.tzinfo is None: - to_date = DEFAULT_TIMEZONE.localize(to_date) - else: - to_date = None - - compute_pollution_data(min_from_date=from_date, max_to_date=to_date) - '''if args.run_async: - task: AsyncResult = compute_pollution_data.delay(min_from_date=from_date, max_to_date=to_date) - logger.info(f"Scheduled async pollution computation. Task ID: [{task.task_id}]") - else: - logger.info("Staring pollution computation") - compute_pollution_data(min_from_date=from_date, max_to_date=to_date)''' diff --git a/pollution_v2/src/pollution_connector/pollution_computation_model/__init__.py b/pollution_v2/src/pollution_connector/manager/__init__.py similarity index 100% rename from pollution_v2/src/pollution_connector/pollution_computation_model/__init__.py rename to pollution_v2/src/pollution_connector/manager/__init__.py diff --git a/pollution_v2/src/pollution_connector/tasks/pollution_computation.py b/pollution_v2/src/pollution_connector/manager/pollution_computation.py similarity index 82% rename from pollution_v2/src/pollution_connector/tasks/pollution_computation.py rename to pollution_v2/src/pollution_connector/manager/pollution_computation.py index e763641d..4e533d94 100644 --- a/pollution_v2/src/pollution_connector/tasks/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/manager/pollution_computation.py @@ -8,8 +8,6 @@ from datetime import datetime, timedelta from typing import Optional, List -from redis.client import Redis - from common.manager.traffic_station import TrafficStationManager from pollution_connector.cache.computation_checkpoint import ComputationCheckpointCache, ComputationCheckpoint from common.connector.collector import ConnectorCollector @@ -17,45 +15,11 @@ from common.data_model.pollution import PollutionMeasure, PollutionMeasureCollection, PollutionEntry from common.data_model import TrafficMeasureCollection, TrafficSensorStation from pollution_connector.pollution_computation_model.pollution_computation_model import PollutionComputationModel -from common.settings import DEFAULT_TIMEZONE, ODH_MINIMUM_STARTING_DATE, PROVENANCE_ID, PROVENANCE_LINEAGE, \ - PROVENANCE_NAME, PROVENANCE_VERSION, COMPUTATION_CHECKPOINT_REDIS_HOST, \ - COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_DB, ODH_COMPUTATION_BATCH_SIZE +from common.settings import DEFAULT_TIMEZONE, ODH_MINIMUM_STARTING_DATE, ODH_COMPUTATION_BATCH_SIZE logger = logging.getLogger("pollution_connector.tasks.pollution_computation") -# not used anymore after refactoring from Celery to Airflow -def compute_pollution_data(min_from_date: Optional[datetime] = None, - max_to_date: Optional[datetime] = None - ) -> None: - """ - Start the computation of a batch of pollution data measures. As starting date for the batch is used the latest - pollution measure available on the ODH, if no pollution measures are available min_from_date is used. - - :param min_from_date: Optional, if set traffic measures before this date are discarded if no pollution measures are available. - If not specified, the default will be taken from the environmental variable `ODH_MINIMUM_STARTING_DATE`. - :param max_to_date: Optional, if set the traffic measure after this date are discarded. - If not specified, the default will be the current datetime. - """ - if min_from_date is None: - min_from_date = ODH_MINIMUM_STARTING_DATE - - if max_to_date is None: - max_to_date = datetime.now(tz=DEFAULT_TIMEZONE) - - checkpoint_cache = None - if COMPUTATION_CHECKPOINT_REDIS_HOST: - logger.info("Enabled checkpoint cache") - checkpoint_cache = ComputationCheckpointCache(Redis(host=COMPUTATION_CHECKPOINT_REDIS_HOST, port=COMPUTATION_CHECKPOINT_REDIS_PORT, db=COMPUTATION_CHECKPOINT_REDIS_DB)) - else: - logger.info("Checkpoint cache disabled") - - collector_connector = ConnectorCollector.build_from_env() - provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION) - manager = PollutionComputationManager(collector_connector, provenance, checkpoint_cache) - manager.run_computation_and_upload_results(min_from_date, max_to_date) - - class PollutionComputationManager(TrafficStationManager): def __init__(self, connector_collector: ConnectorCollector, provenance: Provenance, checkpoint_cache: Optional[ComputationCheckpointCache] = None): diff --git a/pollution_v2/src/pollution_connector/pollution_computation_model/CopertEmissions.py b/pollution_v2/src/pollution_connector/model/CopertEmissions.py similarity index 100% rename from pollution_v2/src/pollution_connector/pollution_computation_model/CopertEmissions.py rename to pollution_v2/src/pollution_connector/model/CopertEmissions.py diff --git a/pollution_v2/src/pollution_connector/tasks/__init__.py b/pollution_v2/src/pollution_connector/model/__init__.py similarity index 100% rename from pollution_v2/src/pollution_connector/tasks/__init__.py rename to pollution_v2/src/pollution_connector/model/__init__.py diff --git a/pollution_v2/src/pollution_connector/pollution_computation_model/input/blacklist.txt b/pollution_v2/src/pollution_connector/model/input/blacklist.txt similarity index 100% rename from pollution_v2/src/pollution_connector/pollution_computation_model/input/blacklist.txt rename to pollution_v2/src/pollution_connector/model/input/blacklist.txt diff --git a/pollution_v2/src/pollution_connector/pollution_computation_model/input/copert55.db b/pollution_v2/src/pollution_connector/model/input/copert55.db similarity index 100% rename from pollution_v2/src/pollution_connector/pollution_computation_model/input/copert55.db rename to pollution_v2/src/pollution_connector/model/input/copert55.db diff --git a/pollution_v2/src/pollution_connector/pollution_computation_model/input/fc_info.csv b/pollution_v2/src/pollution_connector/model/input/fc_info.csv similarity index 100% rename from pollution_v2/src/pollution_connector/pollution_computation_model/input/fc_info.csv rename to pollution_v2/src/pollution_connector/model/input/fc_info.csv diff --git a/pollution_v2/src/pollution_connector/pollution_computation_model/input/geometry.csv b/pollution_v2/src/pollution_connector/model/input/geometry.csv similarity index 100% rename from pollution_v2/src/pollution_connector/pollution_computation_model/input/geometry.csv rename to pollution_v2/src/pollution_connector/model/input/geometry.csv diff --git a/pollution_v2/src/pollution_connector/pollution_computation_model/input/km.csv b/pollution_v2/src/pollution_connector/model/input/km.csv similarity index 100% rename from pollution_v2/src/pollution_connector/pollution_computation_model/input/km.csv rename to pollution_v2/src/pollution_connector/model/input/km.csv diff --git a/pollution_v2/src/pollution_connector/pollution_computation_model/pollution_computation_model.py b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py similarity index 100% rename from pollution_v2/src/pollution_connector/pollution_computation_model/pollution_computation_model.py rename to pollution_v2/src/pollution_connector/model/pollution_computation_model.py diff --git a/pollution_v2/src/validator/model/__init__.py b/pollution_v2/src/validator/model/__init__.py new file mode 100644 index 00000000..24d5d500 --- /dev/null +++ b/pollution_v2/src/validator/model/__init__.py @@ -0,0 +1,5 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +# TODO package that should contains all model classes from CISMA From cb51cc8b2bd5bd03e332db9925fa31ee1a809722 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 1 Mar 2024 10:21:20 +0100 Subject: [PATCH 007/154] fix on previous commit - issue #23 --- .../src/pollution_connector/manager/pollution_computation.py | 2 +- .../pollution_connector/model/pollution_computation_model.py | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/pollution_v2/src/pollution_connector/manager/pollution_computation.py b/pollution_v2/src/pollution_connector/manager/pollution_computation.py index 4e533d94..5eba2912 100644 --- a/pollution_v2/src/pollution_connector/manager/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/manager/pollution_computation.py @@ -14,7 +14,7 @@ from common.data_model.common import Provenance from common.data_model.pollution import PollutionMeasure, PollutionMeasureCollection, PollutionEntry from common.data_model import TrafficMeasureCollection, TrafficSensorStation -from pollution_connector.pollution_computation_model.pollution_computation_model import PollutionComputationModel +from pollution_connector.model.pollution_computation_model import PollutionComputationModel from common.settings import DEFAULT_TIMEZONE, ODH_MINIMUM_STARTING_DATE, ODH_COMPUTATION_BATCH_SIZE logger = logging.getLogger("pollution_connector.tasks.pollution_computation") diff --git a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py index ee34e0ff..90019569 100644 --- a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py +++ b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py @@ -14,9 +14,9 @@ from common.data_model.common import VehicleClass from common.data_model.pollution import PollutionEntry, PollutantClass from common.data_model import TrafficMeasureCollection, TrafficEntry, TrafficSensorStation -from pollution_connector.pollution_computation_model.CopertEmissions import copert_emissions +from pollution_connector.model.CopertEmissions import copert_emissions -logger = logging.getLogger("pollution_connector.pollution_computation_model.pollution_computation_model") +logger = logging.getLogger("pollution_connector.model.pollution_computation_model") class PollutionComputationModel: From 60a292a6feeed818e5ea0e93089a2964c37dd70c Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 1 Mar 2024 12:09:35 +0100 Subject: [PATCH 008/154] entry, measure and collection for validation - issue #23 --- .../src/common/data_model/validation.py | 68 +++++++++++++++++++ .../src/validator/manager/__init__.py | 3 + 2 files changed, 71 insertions(+) create mode 100644 pollution_v2/src/common/data_model/validation.py create mode 100644 pollution_v2/src/validator/manager/__init__.py diff --git a/pollution_v2/src/common/data_model/validation.py b/pollution_v2/src/common/data_model/validation.py new file mode 100644 index 00000000..917eb9c8 --- /dev/null +++ b/pollution_v2/src/common/data_model/validation.py @@ -0,0 +1,68 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +from dataclasses import dataclass +from datetime import datetime +from enum import Enum +from typing import Optional, List, Dict + +from common.data_model.common import VehicleClass, MeasureCollection, Measure, Provenance, DataType +from common.data_model.traffic import TrafficSensorStation + + +class ValidationTypeClass(Enum): + + # single enum class to prevent further types additions + VALID = "VALID" + + +@dataclass +class ValidationEntry: + station: TrafficSensorStation + valid_time: datetime + vehicle_class: VehicleClass + validation_class: ValidationTypeClass + validation_value: Optional[float] + period: Optional[int] + + +class ValidationMeasure(Measure): + + @staticmethod + def get_data_types() -> List[DataType]: + data_types = [] + for vehicle in VehicleClass: + for validation_type in ValidationTypeClass: + data_types.append(DataType(f"{vehicle.name}-{validation_type.name}", f"{vehicle.value} is {validation_type.name}", "Validation", "-", {})) + return data_types + + +@dataclass +class ValidationMeasureCollection(MeasureCollection[ValidationMeasure, TrafficSensorStation]): + + @staticmethod + def build_from_validation_entries(validation_entries: List[ValidationEntry], provenance: Provenance) -> ValidationMeasureCollection: + """ + Build a ValidationMeasureCollection from the list of validation entries. + + :param validation_entries: the validation entries from which generate the ValidationMeasureCollection + :param provenance: the provenance of the validation measures + :return: a ValidationMeasureCollection object containing the validation measures generated from the validation entries + """ + data_types_dict: Dict[str, DataType] = {data_type.name: data_type for data_type in ValidationMeasure.get_data_types()} + validation_measures: List[ValidationMeasure] = [] + for validation_entry in validation_entries: + validation_measures.append(ValidationMeasure( + station=validation_entry.station, + data_type=data_types_dict[f"{validation_entry.vehicle_class.name}-{validation_entry.validation_class.name}-emissions"], + provenance=provenance, + period=validation_entry.period, + transaction_time=None, + valid_time=validation_entry.valid_time, + value=validation_entry.validation_value + )) + + return ValidationMeasureCollection(validation_measures) diff --git a/pollution_v2/src/validator/manager/__init__.py b/pollution_v2/src/validator/manager/__init__.py new file mode 100644 index 00000000..a1097782 --- /dev/null +++ b/pollution_v2/src/validator/manager/__init__.py @@ -0,0 +1,3 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later From 57ab2d35e354203706aab2faa3ed00b6a82aa876 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 1 Mar 2024 16:11:58 +0100 Subject: [PATCH 009/154] added validation connector - issue #23 --- .../src/common/connector/collector.py | 20 ++++++- .../src/common/connector/validation.py | 59 +++++++++++++++++++ 2 files changed, 78 insertions(+), 1 deletion(-) create mode 100644 pollution_v2/src/common/connector/validation.py diff --git a/pollution_v2/src/common/connector/collector.py b/pollution_v2/src/common/connector/collector.py index cd188337..1984739c 100644 --- a/pollution_v2/src/common/connector/collector.py +++ b/pollution_v2/src/common/connector/collector.py @@ -6,6 +6,7 @@ from common.connector.pollution import PollutionODHConnector from common.connector.traffic import TrafficODHConnector +from common.connector.validation import ValidationODHConnector from common.settings import ODH_AUTHENTICATION_URL, ODH_USERNAME, ODH_PASSWORD, ODH_CLIENT_ID, \ ODH_CLIENT_SECRET, ODH_PAGINATION_SIZE, REQUESTS_TIMEOUT, REQUESTS_MAX_RETRIES, REQUESTS_SLEEP_TIME, \ REQUESTS_RETRY_SLEEP_TIME, ODH_BASE_READER_URL, ODH_BASE_WRITER_URL, ODH_GRANT_TYPE, ODH_MAX_POST_BATCH_SIZE @@ -13,8 +14,9 @@ class ConnectorCollector: - def __init__(self, traffic: TrafficODHConnector, pollution: PollutionODHConnector): + def __init__(self, traffic: TrafficODHConnector, validation: ValidationODHConnector, pollution: PollutionODHConnector): self.traffic = traffic + self.validation = validation self.pollution = pollution @staticmethod @@ -51,6 +53,22 @@ def build_from_env() -> ConnectorCollector: requests_sleep_time=requests_sleep_time, requests_retry_sleep_time=requests_retry_sleep_time ), + validation=ValidationODHConnector( + base_reader_url=base_reader_url, + base_writer_url=base_writer_url, + authentication_url=authentication_url, + username=user_name, + password=password, + client_id=client_id, + client_secret=client_secret, + grant_type=grant_type, + pagination_size=pagination_size, + max_post_batch_size=max_post_batch_size, + requests_timeout=requests_timeout, + requests_max_retries=requests_max_retries, + requests_sleep_time=requests_sleep_time, + requests_retry_sleep_time=requests_retry_sleep_time + ), pollution=PollutionODHConnector( base_reader_url=base_reader_url, base_writer_url=base_writer_url, diff --git a/pollution_v2/src/common/connector/validation.py b/pollution_v2/src/common/connector/validation.py new file mode 100644 index 00000000..091c0efd --- /dev/null +++ b/pollution_v2/src/common/connector/validation.py @@ -0,0 +1,59 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +from typing import Optional, List + +from common.connector.common import ODHBaseConnector +from common.data_model.pollution import PollutionMeasure +from common.data_model.traffic import TrafficSensorStation +from common.data_model.validation import ValidationMeasure + + +class ValidationODHConnector(ODHBaseConnector[ValidationMeasure, TrafficSensorStation]): + + def __init__(self, + base_reader_url: str, + base_writer_url: str, + authentication_url: str, + username: Optional[str], + password: Optional[str], + client_id: Optional[str], + client_secret: Optional[str], + grant_type: List[str], + pagination_size: int, + max_post_batch_size: Optional[int], + requests_timeout: float, + requests_max_retries: int, + requests_sleep_time: float, + requests_retry_sleep_time: float) -> None: + + station_type = "TrafficSensor" + measure_types = [measure_type.name for measure_type in ValidationMeasure.get_data_types()] + + super().__init__(base_reader_url, + base_writer_url, + station_type, + measure_types, + authentication_url, + username, + password, + client_id, + client_secret, + grant_type, + pagination_size, + max_post_batch_size, + requests_timeout, + requests_max_retries, + requests_sleep_time, + requests_retry_sleep_time) + + @staticmethod + def build_station(raw_station: dict) -> TrafficSensorStation: + return TrafficSensorStation.from_odh_repr(raw_station) + + @staticmethod + def build_measure(raw_measure: dict) -> PollutionMeasure: + return PollutionMeasure.from_odh_repr(raw_measure) From 2e2d7dfd16899ffc980a5ab469a497a3d4ea8577 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 1 Mar 2024 16:44:41 +0100 Subject: [PATCH 010/154] pollution_v2: last changes from Nicola Del Ben - issue #16 --- pollution_v2/config/validator.yaml | 20 +- pollution_v2/src/validator/Dominio.py | 88 ++++++++ pollution_v2/src/validator/Input.py | 65 ++++++ pollution_v2/src/validator/Moduli.py | 207 ------------------ pollution_v2/src/validator/Parametri.py | 18 ++ pollution_v2/src/validator/Station.py | 221 ++++++++++++++++++++ pollution_v2/src/validator/Validator.py | 113 ++++++++++ pollution_v2/src/validator/dataConnector.py | 82 -------- pollution_v2/src/validator/db_to_db.R | 37 ---- pollution_v2/src/validator/main.py | 74 ------- 10 files changed, 518 insertions(+), 407 deletions(-) create mode 100644 pollution_v2/src/validator/Dominio.py create mode 100644 pollution_v2/src/validator/Input.py delete mode 100644 pollution_v2/src/validator/Moduli.py create mode 100644 pollution_v2/src/validator/Parametri.py create mode 100644 pollution_v2/src/validator/Station.py create mode 100644 pollution_v2/src/validator/Validator.py delete mode 100644 pollution_v2/src/validator/dataConnector.py delete mode 100644 pollution_v2/src/validator/db_to_db.R delete mode 100644 pollution_v2/src/validator/main.py diff --git a/pollution_v2/config/validator.yaml b/pollution_v2/config/validator.yaml index c873b811..8b9a2c30 100644 --- a/pollution_v2/config/validator.yaml +++ b/pollution_v2/config/validator.yaml @@ -1,10 +1,7 @@ # SPDX-FileCopyrightText: NOI Techpark # # SPDX-License-Identifier: AGPL-3.0-or-later - -# Percorso del database -db_path: '../../sample_data/input/odh.db' -day: '2023-12-06' +# plot validation results [True/False] plot: False # Parametri del Layer 1: # valori superiore e inferiore dello Z-score oltre i quali il dato non è valido @@ -13,10 +10,19 @@ plot: False Layer1: low: -2.5 high: null - n: 2 + n: 3 # Parametri del Layer 1.1: # valori superiore e inferiore dello Z-score oltre i quali il dato non è valido # null = nessun limite +# n: numero di stazioni a monte e a valle da considerare per verificare la continuità lungo l'asse Layer1_1: - low: -2.5 - high: +2.5 + low: -2 + high: null + n: 2 +# Parametri del Layer 2: +# valori superiore e inferiore dello Z-score oltre i quali il dato non è valido +# null = nessun limite +Layer2: + low: -5 + high: +5 + n: 4 diff --git a/pollution_v2/src/validator/Dominio.py b/pollution_v2/src/validator/Dominio.py new file mode 100644 index 00000000..7933cd4c --- /dev/null +++ b/pollution_v2/src/validator/Dominio.py @@ -0,0 +1,88 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +import numpy as np +import pandas as pd + +class Dominio: + def __init__(self, input_data): + self.input = input_data + self.station_list = [] + self.layer1_not_valid = [] + self.layer1_1_not_valid = [] + self.layer2_not_valid = [] + self.layer3_not_valid = [] + self.stats1_1 = {} + + def add_station(self, station): + self.station_list.append(station) + + def layer1_not_valid_station(self, station): + self.layer1_not_valid.append(station) + + def layer1_1_not_valid_station(self, station): + self.layer1_1_not_valid.append(station) + + def layer2_not_valid_station(self, station): + self.layer2_not_valid.append(station) + + def layer3_not_valid_station(self, station): + self.layer3_not_valid.append(station) + + def zscore_statistics(self): + for direction in ['SUD', 'NORD']: + daily_list = [stazione.daily for stazione in self.station_list if stazione.direction == direction] + daily_array = np.array([val if val is not None else np.nan for val in daily_list]) + self.stats1_1[direction] = {'mean': np.nanmean(daily_array), 'std': np.nanstd(daily_array)} + + def is_valid(self, row): + return True if (row['layer_1'] is True) and (row['layer_3'] is True) else False + + def overall_validation(self): + output = pd.DataFrame() + + for s in self.station_list: + df = s.raw[['time', 'station_code', 'variable', 'value']] + if s.layer1 is None: + df['layer_1'] = 999 + else: + df['layer_1'] = s.layer1 + + if s.layer1_1 is None: + df['layer_1_1'] = 999 + else: + df['layer_1_1'] = s.layer1_1 + + if s.layer2 is None: + df['layer_2'] = 999 + else: + df['layer_2'] = s.layer2 + + layer3 = pd.DataFrame(list(s.layer3.items()), columns=['time', 'layer_3']) + layer3['layer_3'] = layer3['layer_3'].astype(int) + df = pd.merge(df, layer3, on='time', how='left') + output = pd.concat([output, df], ignore_index=True) + + for index, row in output.iterrows(): + if row['layer_1'] == 1: + is_valid = 1 + elif row['layer_1'] == 0: + if row['layer_1_1'] == 1: + is_valid = 1 + else: + is_valid = 0 + else: + is_valid = 999 + + if is_valid == 1 or is_valid == 999: + if row['layer_3'] == 1: + is_valid = 1 + elif row['layer_3'] == 0: + is_valid = 0 + + output.at[index, 'is_valid'] = is_valid + + self.output = output[['time', 'station_code', 'variable', 'value', 'is_valid']] diff --git a/pollution_v2/src/validator/Input.py b/pollution_v2/src/validator/Input.py new file mode 100644 index 00000000..8eae9630 --- /dev/null +++ b/pollution_v2/src/validator/Input.py @@ -0,0 +1,65 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +import holidays +import datetime +import pandas as pd + +class Input: + def __init__(self, day, raw_data, history, km, station_type): + self.day = datetime.datetime.strptime(day, '%Y-%m-%d').date() + self.chilometriche = km + self.station_type = station_type + self.history = self.get_history(history) + self.raw_data = self.get_raw_data(raw_data) + self.station_list = self.get_stations() + + def get_history(self, history): + """ + History pre-elaborations: check column types and add daytype column + - Parameters: + history : dataframe ['date', 'station_code', 'total_traffic'] + - Returns: + history : dataframe ['date', 'domain', 'station', 'lane', 'total_traffic', 'daytype'] + """ + history[['domain', 'station', 'lane']] = history['station_code'].str.split(':', expand=True) + history['station'] = history['station'].astype(int) + history['date'] = pd.to_datetime(history['date']) + history = history[history['date'].dt.month == self.day.month] + history['daytype'] = history['date'].apply(get_daytype) + hist = history[history['daytype'] == get_daytype(self.day)] + return hist + + def get_raw_data(self, raw_data): + """ + Raw Data pre-elaborations: check column types and add direction and km columns + - Parameters: + raw_data : dataframe ['time', 'value', 'station_code', 'variable'] + - Returns: + raw_data : dataframe ['time', 'value', 'domain', 'station', 'lane', 'variable', 'direction', 'km'] + """ + raw_data[['domain', 'station', 'lane']] = raw_data['station_code'].str.split(':', expand=True) + raw_data['direction'] = raw_data['lane'].map({'1': 'NORD', '2': 'NORD', '3': 'SUD', '4': 'SUD', '5': 'NORD', '6': 'SUD'}) + raw_data['station'] = raw_data['station'].astype(int) + raw_data['km'] = raw_data['station'].map(self.chilometriche) + return raw_data + + def get_stations(self): + """ + Get station list from raw data + - Parameters: + - Returns: + station_list : list + """ + station_list = self.raw_data[['station', 'direction']].drop_duplicates() + return station_list + +def get_daytype(date): + if date.weekday() >= 5 or date in holidays.Italy(): + tipo = 'Festivo' + else: + tipo = 'Feriale' + return tipo diff --git a/pollution_v2/src/validator/Moduli.py b/pollution_v2/src/validator/Moduli.py deleted file mode 100644 index cecc97ca..00000000 --- a/pollution_v2/src/validator/Moduli.py +++ /dev/null @@ -1,207 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- - -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -import pandas as pd -import numpy as np -import yaml -import matplotlib.pyplot as plt - - -class Parametri: - def __init__(self, file_yaml): - with open(file_yaml, 'r') as file: - self.parametri = yaml.safe_load(file) - - def database(self, param): - return self.parametri['db_path'][param] - - def layer1(self, param): - return self.parametri['Layer1'][param] - - def layer1_1(self, param): - return self.parametri['Layer1_1'][param] - - def layer2(self, param): - return self.parametri['Layer2'][param] - - -class Dominio: - def __init__(self): - self.station_list = [] - self.layer1_not_valid = [] - self.layer1_1_not_valid = [] - self.layer2_not_valid = [] - self.layer3_not_valid = [] - - def add_station(self, station): - self.station_list.append(station) - - def layer1_not_valid_station(self, station): - self.layer1_not_valid.append(station) - - def layer1_1_not_valid_station(self, station): - self.layer1_1_not_valid.append(station) - - def layer2_not_valid_station(self, station): - self.layer2_not_valid.append(station) - - def layer3_not_valid_station(self, station): - self.layer3_not_valid.append(station) - - def zscore_statistics(self): - zscore_list = [stazione.zscore for stazione in self.station_list] - media_zscore = np.mean(zscore_list) - deviazione_std_zscore = np.std(zscore_list) - self.stats1_1 = {'mean': media_zscore, 'std': deviazione_std_zscore} - - -class Station: - # Inizializza l'oggetto stazione con le caratteristiche identificative - # e i dati giornalieri. - def __init__(self, data, history, ID, direction, chilometriche, N): - self.ID = int(ID) - self.direction = direction - self.km = chilometriche.get(ID) - self.raw = data[(data['station'] == ID) & (data['direction'] == direction)] - self.daily = int(self.raw['value'].sum()) - self.getStats(history, chilometriche, N) - # self.stats = self.getStats(history, chilometriche, N) - - # Calcolo delle statistiche relative alla stazione: media e std. - # Se le statistiche non sono presenti per questa stazione, prendi le statistiche - # delle N stazioni vicine. - def getStats(self, history, chilometriche, N): - self.lane_selector() - # -----------------> la condizione dovrebbe essere: se le giornate di dati storici non sono in numero sufficiente: da decidere!!! - if self.ID not in history['station'].values: - nearest = self.nearest_stations(chilometriche, history, N) - history_data = history[(history['station'].isin(nearest)) & (history['lane'].isin(self.lane))] - history_data = history_data.groupby(['date', 'lane', 'daytype'])['total_traffic'].mean().reset_index() - print(f'{self.ID:<4} {self.direction:<4} no history, get statistics from {nearest} stations') - else: - history_data = history[(history['station'] == self.ID) & (history['lane'].isin(self.lane))] - print(f'{self.ID:<4} {self.direction:<4}') - agg_hist = history_data[history_data['lane'].isin(self.lane)].groupby(['date', 'daytype']).agg( - {'total_traffic': 'sum'}).reset_index() - self.layer1_stats = agg_hist['total_traffic'].agg(['mean', 'std']).to_dict() - - # Calcolo statistiche distribuzione corsie per layer 2 - layer2_hist = history_data.pivot_table(index='date', columns='lane', values='total_traffic', aggfunc='mean') - layer2_hist['ratio'] = layer2_hist[self.lane[0]] / layer2_hist[self.lane[1]] - self.layer2_stats = layer2_hist['ratio'].agg(['mean', 'std']).to_dict() - - # Identifica le N stazioni a valle e le N stazioni a monte più vicine. - def nearest_stations(self, chilometriche, history, N): - hist_stations = {k: v for k, v in chilometriche.items() if k in history['station'].unique()} - diff = {k: abs(v - self.km) for k, v in hist_stations.items()} - stations_sort = sorted(diff.items(), key=lambda x: x[1]) - nearest = [key for key, _ in stations_sort[:2 * N]] - return nearest - - # Seleziona il numero delle corsie in base alla direzione di marcia - def lane_selector(self): - if self.direction == 'NORD': - self.lane = ['1', '2'] - elif self.direction == 'SUD': - self.lane = ['3', '4'] - else: - self.lane = [] - - # Calcola lo z-score per i dati giornalieri. - def zScore_1(self): - self.zscore = (self.daily - self.layer1_stats['mean']) / self.layer1_stats['std'] - - # Conferma la validazione (layer 1.1) confrontando tra varie stazioni - def zScore1_1(self, dominio): - self.zscore1_1 = (self.zscore - dominio.stats1_1['mean']) / dominio.stats1_1['std'] - - # Definisci se un set di dati giornalieri è valido o meno in base ai limiti - # imposti sullo z-score - def layer1_validation(self, limit): - if limit.layer1('low') is None and limit.layer1('high') is None: - self.layer1 = True - else: - if limit.layer1('low') is None: - if self.zscore <= limit.layer1('high'): - self.layer1 = True - else: - self.layer1 = False - elif limit.layer1('high') is None: - if self.zscore >= limit.layer1('low'): - self.layer1 = True - else: - self.layer1 = False - else: - if (self.zscore >= limit.layer1('low')) and (self.zscore <= limit.layer1('high')): - self.layer1 = True - else: - self.layer1 = False - - def layer1_1_validation(self, limit, dominio): - if limit.layer1_1('low') is None and limit.layer1_1('high') is None: - self.layer1_1 = True - else: - if limit.layer1_1('low') is None: - if self.zscore1_1 <= limit.layer1('high'): - self.layer1_1 = True - else: - self.layer1 = False - elif limit.layer1_1('high') is None: - if self.zscore1_1 >= limit.layer1_1('low'): - self.layer1_1 = True - else: - self.layer1_1 = False - else: - if (self.zscore1_1 >= limit.layer1_1('low')) and (self.zscore1_1 <= limit.layer1_1('high')): - self.layer1_1 = True - else: - self.layer1_1 = False - - def layer3_validation(self): - df = self.raw.groupby(['time', 'station', 'direction'])['value'].sum().reset_index() - df['derivata'] = df['value'].pct_change() * 100 - df['is_valid'] = np.where(( - ((df['derivata'] <= -100) & df['value'] > 50) | # Condizione derivata negativa - (df['value'].rolling(window=3).sum() == 0) # Condizione per almeno 3 zeri consecutivi - ), False, True) - self.layer3 = df[['time', 'is_valid']].set_index('time')['is_valid'].to_dict() - - def plot(self, layer): - dir_df = self.raw[self.raw['direction'] == self.direction] - agg_dir_df = dir_df.groupby('time')['value'].sum().reset_index() - # agg_dir_df['time'] = pd.to_datetime(agg_dir_df['time']) - agg_dir_df.plot(x='time', y='value', rot=90, figsize=(10, 6)) - if layer == 'layer3': - # self.layer3 = {pd.to_datetime(key): value for key, value in self.layer3.items()} - self.merged = agg_dir_df.merge(pd.DataFrame(list(self.layer3.items()), columns=['time', 'is_valid']), - on='time', how='left') - plt.scatter(self.merged.index[~self.merged['is_valid']], self.merged['value'][~self.merged['is_valid']], - color='red', label='Invalid Values', s=50) - plt.ylabel('Value') - plt.grid(True) - plt.tight_layout() - plt.legend() - plt.show() - -# DEPRECATED -# def validation(data, params): -# # ciclo sulle stazioni, calcola z-score -# out = [] -# for station_code in data.station_list: -# # inizializza l'oggetto stazione -# s = Station(data.raw_data, data.history, station_code, data.chilometriche, params.layer1('n')) -# # calcolo Z-score -# s.zScore() -# # assegna flag di validità basato su confronto z-score con valori limite -# s.validationFlag(params) -# # lista risultati -# out.append(s.daily) - -# dfout = pd.concat(out, ignore_index=True) -# dfout = dfout.sort_values(by=['direction','km']) -# output = pd.merge(data.raw_data, dfout[['station', 'direction', 'is_valid']], on=['station', 'direction'], how='left') -# return output diff --git a/pollution_v2/src/validator/Parametri.py b/pollution_v2/src/validator/Parametri.py new file mode 100644 index 00000000..d5cfc91d --- /dev/null +++ b/pollution_v2/src/validator/Parametri.py @@ -0,0 +1,18 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +import yaml + +class Parametri: + def __init__(self, file_yaml): + with open(file_yaml, 'r') as file: + self.parametri = yaml.safe_load(file) + def layer1(self, param): + return self.parametri['Layer1'][param] + def layer1_1(self, param): + return self.parametri['Layer1_1'][param] + def layer2(self, param): + return self.parametri['Layer2'][param] diff --git a/pollution_v2/src/validator/Station.py b/pollution_v2/src/validator/Station.py new file mode 100644 index 00000000..ca427910 --- /dev/null +++ b/pollution_v2/src/validator/Station.py @@ -0,0 +1,221 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt + +class Station: + # Inizializza l'oggetto stazione con le caratteristiche identificative + # e i dati giornalieri. + def __init__(self, data, history, ID, direction, chilometriche, N): + self.ID = int(ID) + self.direction = direction + self.km = chilometriche.get(ID) + self.raw = data[(data['station'] == ID) & (data['direction'] == direction)] + self.daily = int(self.raw['value'].sum()) + self.skip_validation = False + self.getStats(history, chilometriche, N) + self.zscore1 = 0 + self.zscore1_1 = 0 + self.zscore2 = 0 + + # Calcolo delle statistiche relative alla stazione: media e std. + # Se le statistiche non sono presenti per questa stazione, prendi le statistiche + # delle N stazioni vicine. + def getStats(self, history, chilometriche, N): + self.lane_selector() + history_len = history[history['station'] == self.ID].shape[0] + if self.ID not in history['station'].values or history_len < 10: + if self.ID not in chilometriche.keys(): + print(f'{self.ID:<4} {self.direction:<4} no history, no information about position --> skip layer 1, 1.1, 2') + self.skip_validation = True + self.layer1 = None + self.layer1_1 = None + self.layer2 = None + self.layer3 = None + return None + else: + nearest = self.nearest_stations_L1(chilometriche, history, N) + history_data = history[(history['station'].isin(nearest)) & (history['lane'].isin(self.lane))] + history_data = history_data.groupby(['date', 'lane', 'daytype'])['total_traffic'].mean().reset_index() + print(f'{self.ID:<4} {self.direction:<4} no history, get statistics from {nearest} stations') + else: + history_data = history[(history['station'] == self.ID) & (history['lane'].isin(self.lane))] + print(f'{self.ID:<4} {self.direction:<4}') + if history_data is not None: + agg_hist = history_data[history_data['lane'].isin(self.lane)].groupby(['date', 'daytype']).agg({'total_traffic': 'sum'}).reset_index() + else: + self.skip_validation = True + self.layer1_stats = agg_hist['total_traffic'].agg(['mean', 'std']).to_dict() + + # Calcolo statistiche distribuzione corsie per layer 2 + layer2_hist = history_data.pivot_table(index='date', columns='lane', values='total_traffic', aggfunc='mean') + if layer2_hist.shape[1] == 2: + layer2_hist['ratio'] = layer2_hist[self.lane[0]] / layer2_hist[self.lane[1]] + self.layer2_stats = layer2_hist['ratio'].agg(['mean', 'std']).to_dict() + else: + print(f'{self.ID:<4} {self.direction:<4} no lane history --> skip layer 2 validation') + + # Identifica le N stazioni a valle e le N stazioni a monte più vicine. + def nearest_stations_L1(self, chilometriche, history, N): + hist_stations = {k: v for k, v in chilometriche.items() if k in history['station'].unique()} + diff = {k: abs(v - self.km) for k, v in hist_stations.items()} + stations_sort = sorted(diff.items(), key=lambda x: x[1]) + nearest = [key for key, _ in stations_sort[:2*N]] + return nearest + + def nearest_stations_L1_1(self, chilometriche, dominio, N): + station_list = [stazione.ID for stazione in dominio.station_list if stazione.direction == self.direction] + stations = {k: v for k, v in chilometriche.items() if k in station_list} + diff = {k: abs(v - self.km) for k, v in stations.items()} + stations_sort = sorted(diff.items(), key=lambda x: x[1]) + nearest = [key for key, _ in stations_sort[:2*N]] + nearest.remove(self.ID) + return nearest + + # Seleziona il numero delle corsie in base alla direzione di marcia + def lane_selector(self): + if self.direction == 'NORD': + self.lane = ['1','2'] + elif self.direction == 'SUD': + self.lane = ['3','4'] + else: + self.lane = [] + + # Calcola lo z-score per i dati giornalieri. + def zScore_1(self): + try: + self.zscore1 = (self.daily - self.layer1_stats['mean'])/self.layer1_stats['std'] + except Exception as e: + print(f'error computing zscore layer 1 for {self.ID} {self.direction}: {e}') + self.zscore1 = None + + def zScore1_1(self, chilometriche, dominio, N): + try: + nearest = self.nearest_stations_L1_1(chilometriche, dominio, N) + nearest_data = [stazione.daily for stazione in dominio.station_list if stazione.ID in nearest and stazione.direction == self.direction] + self.layer1_1_stats = {'mean': np.mean(nearest_data), 'std': np.std(nearest_data)} + self.zscore1_1 = (self.daily - np.mean(nearest_data))/np.std(nearest_data) + except Exception as e: + print(f'error computing zscore layer 1.1 for {self.ID} {self.direction}: {e}') + self.zscore1_1 = None + + # Calcola lo z-score per i dati giornalieri sulla base della corsia. + def zScore_2(self): + traffic_per_lane = self.raw.groupby(['lane'])['value'].sum().reset_index().sort_values(by='lane') + if len(traffic_per_lane) == 2: + if traffic_per_lane.iloc[1]['value'] != 0: + try: + lane_ratio = traffic_per_lane.iloc[0]['value']/traffic_per_lane.iloc[1]['value'] + self.zscore2 = (lane_ratio - self.layer2_stats['mean'])/self.layer2_stats['std'] + except KeyError as e: + print(f'error computing zscore layer 2 for {self.ID} {self.direction}: {e}') + self.zscore2 = None + else: + self.zscore2 = None + else: + self.zscore2 = None + + # Definisci se un set di dati giornalieri è valido o meno in base ai limiti + # imposti sullo z-score + def layer1_validation(self, limit): + if self.zscore1 is not None: + if limit.layer1('low') is None and limit.layer1('high') is None: + self.layer1 = True + else: + if limit.layer1('low') is None: + if self.zscore1 <= limit.layer1('high'): + self.layer1 = True + else: + self.layer1 = False + elif limit.layer1('high') is None: + if self.zscore1 >= limit.layer1('low'): + self.layer1 = True + else: + self.layer1 = False + else: + if (self.zscore1 >= limit.layer1('low')) and (self.zscore1 <= limit.layer1('high')): + self.layer1 = True + else: + self.layer1 = False + else: + self.layer1 = None + + def layer1_1_validation(self, limit, dominio): + if self.zscore1_1 is not None: + if limit.layer1_1('low') is None and limit.layer1_1('high') is None: + self.layer1_1 = True + else: + if limit.layer1_1('low') is None: + if self.zscore1_1 <= limit.layer1_1('high'): + self.layer1_1 = True + else: + self.layer1_1 = False + elif limit.layer1_1('high') is None: + if self.zscore1_1 >= limit.layer1_1('low'): + self.layer1_1 = True + else: + self.layer1_1 = False + else: + if (self.zscore1_1 >= limit.layer1_1('low')) and (self.zscore1_1 <= limit.layer1_1('high')): + self.layer1_1 = True + else: + self.layer1_1 = False + else: + self.layer1_1 = None + + def layer2_validation(self, limit, dominio): + if self.zscore2 is not None: + if limit.layer2('low') is None and limit.layer2('high') is None: + self.layer2 = True + else: + if limit.layer2('low') is None: + if self.zscore2 <= limit.layer2('high'): + self.layer2 = True + else: + self.layer2 = False + elif limit.layer2('high') is None: + if self.zscore2 >= limit.layer2('low'): + self.layer2 = True + else: + self.layer2 = False + else: + if (self.zscore2 >= limit.layer2('low')) and (self.zscore2 <= limit.layer2('high')): + self.layer2 = True + else: + self.layer2 = False + else: + self.layer2 = None + + def layer3_validation(self): + df = self.raw.groupby(['time', 'station', 'direction'])['value'].sum().reset_index() + df['derivata'] = df['value'].pct_change() * 100 + df['deriv'] = np.where((df['derivata'] <= -99), False, True) + df['shift'] = np.where((df['value'].shift(1) >= 50), False, True) + df['is_valid'] = np.where( + ((df['derivata'] <= -99) & (df['value'].shift(1) >= 50 ))| + (df['value'].rolling(window=4).sum() == 0) | + (df['value'].rolling(window=4).sum().shift(-3) == 0) | + (df['value'].rolling(window=4).sum().shift(-2) == 0) | + (df['value'].rolling(window=4).sum().shift(-1) == 0), + False, True + ) + self.layer3 = df[['time', 'is_valid']].set_index('time')['is_valid'].to_dict() + + def plot(self, layer): + dir_df = self.raw[self.raw['direction'] == self.direction] + agg_dir_df = dir_df.groupby('time')['value'].sum().reset_index() + agg_dir_df.plot(x='time', y='value', rot=90, figsize=(10, 6)) + if layer == 'layer3': + self.merged = agg_dir_df.merge(pd.DataFrame(list(self.layer3.items()), columns=['time', 'is_valid']), on='time', how='left') + plt.scatter(self.merged.index[~self.merged['is_valid']], self.merged['value'][~self.merged['is_valid']], color='red', label='Invalid values', s=50) + plt.ylabel('Vehicles/10min') + plt.grid(True) + plt.tight_layout() + plt.legend() + plt.title(str(self.ID) + ' ' + str(self.direction)) + plt.show() diff --git a/pollution_v2/src/validator/Validator.py b/pollution_v2/src/validator/Validator.py new file mode 100644 index 00000000..6c9df4a7 --- /dev/null +++ b/pollution_v2/src/validator/Validator.py @@ -0,0 +1,113 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +# Il metodo utilizzato per validare i dati per il giorno specificato +def validator(day, raw_data, history, km, station_type, config = '../../config/validator.yaml'): + """ + :param day: data per la quale validare i dati + :param raw_data: dataframe con i dati grezzi + :param history: dataframe con i dati storici + :param km: dataframe con i dati chilometrici + :param station_type: dataframe con tipo stazione + :param config: percorso file di configurazione + """ + + # ------------------------------------------------------------------------- + # Import Moduli + # ------------------------------------------------------------------------- + from Parametri import Parametri + from Input import Input + from Dominio import Dominio + from Station import Station + import pandas as pd + pd.options.mode.chained_assignment = None + + # ------------------------------------------------------------------------- + # Configurazione parametri + # ------------------------------------------------------------------------- + params = Parametri(config) + plot = params.parametri['plot'] + + # ------------------------------------------------------------------------- + # Dati input + # ------------------------------------------------------------------------- + data = Input(day, raw_data, history, km, station_type) + + # ------------------------------------------------------------------------- + # Inizializzazione dominio e stazioni + # ------------------------------------------------------------------------- + print(f'...initializing data for day {day}') + A22 = Dominio(data) + for index, row in data.station_list.iterrows(): + if data.station_type[row['station']] != 'TVCC' or data.station_type[row['station']] != 'RADAR': + # inizializza l'oggetto stazione e aggiungilo all'oggetto dominio + s = Station(data.raw_data, data.history, row['station'], row['direction'], data.chilometriche, params.layer1('n')) + A22.add_station(s) + print('-----------------------') + # ------------------------------------------------------------------------- + # Layer 1 + # ------------------------------------------------------------------------- + print('...validation starting') + for s in A22.station_list: + if s.skip_validation == False: + # calcolo Z-score + s.zScore_1() + # assegna flag di validità basato su confronto z-score con valori limite + s.layer1_validation(params) + if s.layer1 == False: + A22.layer1_not_valid_station(s) + print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1') + if plot: + s.plot('layer1') + # ------------------------------------------------------------------------- + # Layer 1.1 + # ------------------------------------------------------------------------- + A22.zscore_statistics() + for s in A22.station_list: + if s.skip_validation == False: + s.zScore1_1(data.chilometriche, A22, params.layer1_1('n')) + s.layer1_1_validation(params, A22) + if s.layer1_1 == False: + if s in A22.layer1_not_valid: + print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1 (confirmed)') + else: + print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1') + A22.layer1_1_not_valid_station(s) + if plot: + s.plot('layer1') + else: + if s in A22.layer1_not_valid: + print(f'{s.ID:<4} {s.direction:<4} valid for layer 1.1 (not confirmed)') + # ------------------------------------------------------------------------- + # Layer 2 + # ------------------------------------------------------------------------- + for s in A22.station_list: + if s.skip_validation == False: + # calcolo Z-score + s.zScore_2() + # assegna flag di validità basato su confronto z-score con valori limite + s.layer2_validation(params, A22) + if s.layer2 == False: + print(f'{s.ID:<4} {s.direction:<4} not valid for layer 2') + A22.layer2_not_valid_station(s) + # ------------------------------------------------------------------------- + # Layer 3 + # ------------------------------------------------------------------------- + for s in A22.station_list: + s.layer3_validation() + if any(not value for value in s.layer3.values()): + print(f'{s.ID:<4} {s.direction:<4} not valid for layer 3') + if plot: + s.plot('layer3') + A22.layer3_not_valid_station(s) + print('-----------------------') + print('...validation complete!') + # ----------------------------------------------------------------------------- + # Output + # ----------------------------------------------------------------------------- + # dataframe output [time, station_code, variable, value, is_valid] + A22.overall_validation() + dfout = A22.output + + return dfout diff --git a/pollution_v2/src/validator/dataConnector.py b/pollution_v2/src/validator/dataConnector.py deleted file mode 100644 index 91976939..00000000 --- a/pollution_v2/src/validator/dataConnector.py +++ /dev/null @@ -1,82 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -Created on Thu Dec 21 15:07:03 2023 - -@author: nicola -""" - -import sqlite3 -import holidays -import datetime -import pandas as pd - - -class Input: - def __init__(self, day, db_path): - self.day = datetime.datetime.strptime(day, '%Y-%m-%d').date() - self.chilometriche = self.get_km(db_path) - self.history = self.get_history(db_path) - self.raw_data = self.get_raw_data(db_path) - self.station_list = self.get_stations() - - def get_history(self, db_path): - conn = sqlite3.connect(db_path) - cursor = conn.cursor() - query = "SELECT * FROM history" - cursor.execute(query) - hist = cursor.fetchall() - conn.close() - hist = pd.DataFrame(hist) - hist.columns = ['date', 'station', 'lane', 'total_traffic'] - hist['station'] = hist['station'].astype(int) - hist['date'] = pd.to_datetime(hist['date']) - hist = hist[hist['date'].dt.month == self.day.month] - - # QUESTO RALLENTA PARECCHIO IL CODICE ################################# - hist['daytype'] = hist['date'].apply(get_daytype) - ####################################################################### - - hist = hist[hist['daytype'] == get_daytype(self.day)] - return hist - - def get_raw_data(self, db_path): - conn = sqlite3.connect(db_path) - cursor = conn.cursor() - query = f"SELECT * FROM ODH_raw_data WHERE time LIKE '{self.day}%'" - cursor.execute(query) - raw_data = cursor.fetchall() - conn.close() - raw_data = pd.DataFrame(raw_data) - raw_data.columns = ['time', 'value', 'station_code', 'variable'] - raw_data[['domain', 'station', 'lane']] = raw_data['station_code'].str.split(':', expand=True) - raw_data['direction'] = raw_data['lane'].map( - {'1': 'NORD', '2': 'NORD', '3': 'SUD', '4': 'SUD', '5': 'NORD', '6': 'SUD'}) - raw_data['station'] = raw_data['station'].astype(int) - raw_data['km'] = raw_data['station'].map(self.chilometriche) - return raw_data - - def get_km(self, db_path): - conn = sqlite3.connect(db_path) - cursor = conn.cursor() - query = "SELECT * FROM km" - cursor.execute(query) - data = cursor.fetchall() - conn.close() - km = dict(data) - return km - - def get_stations(self): - return self.raw_data[['station', 'direction']].drop_duplicates() - - -def get_daytype(date): - if date.weekday() >= 5 or date in holidays.Italy(): - tipo = 'Festivo' - else: - tipo = 'Feriale' - return tipo diff --git a/pollution_v2/src/validator/db_to_db.R b/pollution_v2/src/validator/db_to_db.R deleted file mode 100644 index 18ab0879..00000000 --- a/pollution_v2/src/validator/db_to_db.R +++ /dev/null @@ -1,37 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -library(dplyr) -library(RSQLite) -library(lubridate) - -conn <- dbConnect(RSQLite::SQLite(), "/home/nicola/lavori_local/2023_21_INF_OpenDataHub/08-software/validator/data/input/A22trafficdata.db") -query <- "SELECT * FROM A22trafficdata" -result <- dbGetQuery(conn, query) -dbDisconnect(conn) - -df <- result %>% - pivot_longer(cols = -c(datetime, spira), - names_to = "variable", - values_to = "value") %>% - mutate( - station_code = as.numeric(gsub("[^0-9]", "", variable)), - station_code = paste0("A22:", spira, ":", station_code), - variable = gsub("[^a-z]", "", variable) - ) %>% - mutate(variable = case_when(variable == 'b' ~ 'Nr. Buses', - variable == 'l' ~ 'Nr. Light Vehicles', - variable == 'p'~ 'Nr. Heavy Vehicles')) %>% - select(time = datetime, station_code, variable, value) %>% - - - mutate(time = ymd_hm(time), - date = date(time)) %>% - mutate(lane = sapply(strsplit(station_code, ":"), function(x) x[3])) %>% - mutate(direction = case_when(lane == 1 | lane == 2 ~ 'NORD', - lane == 3 | lane == 4 ~ 'SUD')) - -conn <- dbConnect(RSQLite::SQLite(), "/home/nicola/lavori_local/2023_21_INF_OpenDataHub/08-software/validator/data/input/odh.db") -dbWriteTable(conn, "ODH_raw_data", df, append = TRUE) -dbDisconnect(conn) diff --git a/pollution_v2/src/validator/main.py b/pollution_v2/src/validator/main.py deleted file mode 100644 index 01762d28..00000000 --- a/pollution_v2/src/validator/main.py +++ /dev/null @@ -1,74 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -from validator.Moduli import Parametri, Dominio, Station -from validator.dataConnector import Input - -# ----------------------------------------------------------------------------- -# Config -# ----------------------------------------------------------------------------- -params = Parametri('../../config/validator.yaml') -db = params.parametri['db_path'] -day = params.parametri['day'] -plot = params.parametri['plot'] -# ----------------------------------------------------------------------------- -# Inizializzazione stazioni -# ----------------------------------------------------------------------------- -print(f'...initializing data for day {day}') -data = Input(day, db) -A22 = Dominio() -for index, row in data.station_list.iterrows(): - stationID = row['station'] - direction = row['direction'] - # inizializza l'oggetto stazione - s = Station(data.raw_data, data.history, stationID, direction, data.chilometriche, params.layer1('n')) - A22.add_station(s) -print('...validation starting') - -# ----------------------------------------------------------------------------- -# Layer 1 -# ----------------------------------------------------------------------------- -for s in A22.station_list: - # calcolo Z-score - s.zScore_1() - # assegna flag di validità basato su confronto z-score con valori limite - s.layer1_validation(params) - if s.layer1 == False: - print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1') - if plot: - s.plot('layer1') - A22.layer1_not_valid_station(s) -# ----------------------------------------------------------------------------- -# Layer 1.1 - update validation flag dopo confronto con altre stazioni -# ----------------------------------------------------------------------------- -A22.zscore_statistics() -for s in A22.station_list: - s.zScore1_1(A22) - s.layer1_1_validation(params, A22) - if s.layer1_1 == False: - if s in A22.layer1_not_valid: - print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1 (confirmed)') - else: - print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1') - A22.layer1_1_not_valid_station(s) -# ----------------------------------------------------------------------------- -# Layer 2 -# ----------------------------------------------------------------------------- -# da concludere... -# ----------------------------------------------------------------------------- -# Layer 3 -# ----------------------------------------------------------------------------- -for s in A22.station_list: - s.layer3_validation() - if any(not value for value in s.layer3.values()): - print(f'{s.ID:<4} {s.direction:<4} not valid for layer 3') - if plot: - s.plot('layer3') - A22.layer3_not_valid_station(s) -print('...validation complete!') -# ----------------------------------------------------------------------------- -# Output - struttura dati da concordare... -# ----------------------------------------------------------------------------- From 27bd21d2bc0f1acbafbb6b6a822f9b5657745d23 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 6 Mar 2024 10:08:50 +0100 Subject: [PATCH 011/154] pullution-v2: create ci/cd --- .github/workflows/ci-pollution-v2.yml | 137 ++++++++++++ pollution_v2/docker-compose.yaml | 4 +- .../infrastructure/ansible/ansible.cfg | 4 + .../infrastructure/ansible/deploy.yml | 19 ++ pollution_v2/infrastructure/ansible/hosts | 6 + .../infrastructure/ansible/requirements.yml | 2 + .../infrastructure/ansible/roles/.gitignore | 2 + .../infrastructure/docker-compose.build.yml | 8 + .../infrastructure/docker-compose.run.yml | 200 ++++++++++++++++++ .../{ => infrastructure/docker}/Dockerfile | 2 +- 10 files changed, 382 insertions(+), 2 deletions(-) create mode 100644 .github/workflows/ci-pollution-v2.yml create mode 100644 pollution_v2/infrastructure/ansible/ansible.cfg create mode 100644 pollution_v2/infrastructure/ansible/deploy.yml create mode 100644 pollution_v2/infrastructure/ansible/hosts create mode 100644 pollution_v2/infrastructure/ansible/requirements.yml create mode 100644 pollution_v2/infrastructure/ansible/roles/.gitignore create mode 100644 pollution_v2/infrastructure/docker-compose.build.yml create mode 100644 pollution_v2/infrastructure/docker-compose.run.yml rename pollution_v2/{ => infrastructure/docker}/Dockerfile (93%) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml new file mode 100644 index 00000000..fe5ca0bd --- /dev/null +++ b/.github/workflows/ci-pollution-v2.yml @@ -0,0 +1,137 @@ +name: CI/CD pollution-v2 + +on: + push: + paths: + - "pollution_v2/**" + - ".github/workflows/ci-pollution-v2.yml" + - "!*.md" + +env: + WORKING_DIRECTORY: pollution_v2 + PROJECT_NAME: odh-mobility-el-pollution-v2 + DOCKER_IMAGE: ghcr.io/${{ github.repository }}/odh-mobility-el-pollution-v2 + DOCKER_TAG: ${{ github.sha }} + +jobs: + test: + runs-on: ubuntu-22.04 + steps: + - name: Checkout source code + uses: noi-techpark/github-actions/checkout@v2 + - name: REUSE Compliance Check + uses: fsfe/reuse-action@v1 + + - name: install setuptools needed to use distutils with python > 3.12 + run: python3 -m pip install setuptools + + - name: Test code + uses: noi-techpark/github-actions/pip-test@v2 + with: + working-directory: ${{ env.WORKING_DIRECTORY }} + test-command: | + echo "WARNING: NO TESTS FOUND!" + + # Deploy Test + deploy-test-pollution-v2: + runs-on: ubuntu-22.04 + if: github.ref == 'refs/heads/main' + needs: test + concurrency: deploy-test-pollution-v2 + env: + KEYCLOAK_URL: https://auth.opendatahub.testingmachine.eu + steps: + - name: Checkout source code + uses: noi-techpark/github-actions/checkout@v2 + - name: Create .env file + uses: noi-techpark/github-actions/env-file@v2 + with: + working-directory: ${{ env.WORKING_DIRECTORY }} + env: + # General deployment options + X_COMPOSE_PROJECT_NAME: ${{ env.PROJECT_NAME }} + X_DOCKER_IMAGE: ${{ env.DOCKER_IMAGE }} + X_DOCKER_TAG: ${{ env.DOCKER_TAG }} + + X_LOG_LEVEL: INFO + X_LOG_LEVEL_LIBS: INFO + + X_CELERY_BROKER_URL: redis://pollution-v2-connector-redis:6379/1 + X_CELERY_BACKEND_URL: redis://pollution-v2-connector-redis:6379/2 + X_CELERY_RESULT_EXPIRATION_SECONDS: "604800" + + X_pollution-v2_TASK_SCHEDULING_MINUTE: "*/10" + X_pollution-v2_TASK_SCHEDULING_HOUR: "*" + + X_ODH_BASE_READER_URL: https://mobility.api.opendatahub.testingmachine.eu + X_ODH_BASE_WRITER_URL: https://share.opendatahub.testingmachine.eu + X_ODH_AUTHENTICATION_URL: https://auth.opendatahub.testingmachine.eu/auth/ + X_ODH_CLIENT_ID: odh-a22-dataprocessor + X_ODH_CLIENT_SECRET: ${{ secrets.COMBINED_CLIENT_SECRET_TEST }} + X_ODH_GRANT_TYPE: client_credentials + X_ODH_PAGINATION_SIZE: 10000 + X_ODH_MAX_POST_BATCH_SIZE: 10000 + X_PROVENANCE_NAME: ${{ env.PROJECT_NAME }} + X_PROVENANCE_VERSION: ${{ github.sha }} + + X_AIRFLOW__CORE__EXECUTOR: CeleryExecutor + X_AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow + X_AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://airflow:airflow@postgres/airflow + X_AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0 + X_AIRFLOW__CORE__FERNET_KEY: '' + X_AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true' + X_AIRFLOW__CORE__LOAD_EXAMPLES: 'false' + X_AIRFLOW__API__AUTH_BACKENDS: 'airflow.api.auth.backend.basic_auth,airflow.api.auth.backend.session' + # yamllint disable rule:line-length + # Use simple http server on scheduler for health checks + # See https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/logging-monitoring/check-health.html#scheduler-health-check-server + # yamllint enable rule:line-length + X_AIRFLOW__SCHEDULER__ENABLE_HEALTH_CHECK: 'true' + # WARNING: Use _PIP_ADDITIONAL_REQUIREMENTS option ONLY for a quick checks + # for other purpose (development, test and especially production usage) build/extend Airflow image. + X__PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-} + X_AIRFLOW_VAR_ODH_AUTHENTICATION_URL: '' + X_AIRFLOW_VAR_ODH_BASE_READER_URL: 'https://mobility.api.opendatahub.testingmachine.eu' + X_AIRFLOW_VAR_ODH_BASE_WRITER_URL: 'https://share.opendatahub.testingmachine.eu' + X_AIRFLOW_VAR_ODH_CLIENT_ID: 'odh-a22-dataprocessor' + X_AIRFLOW_VAR_ODH_CLIENT_SECRET: ${{ secrets.COMBINED_CLIENT_SECRET_TEST }} + X_AIRFLOW_VAR_ODH_GRANT_TYPE: client_credentials + X_AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE: '10000' + X_AIRFLOW_VAR_ODH_PAGINATION_SIZE: '10000' + + # username/pass not needed with client_credentials + # X_AIRFLOW_VAR_ODH_PASSWORD: '' + # X_AIRFLOW_VAR_ODH_USERNAME: '' + X_AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE: "2017-01-01 00:00:00+00:00" + X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'pollution-v2-connector-redis' + X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 + X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 3 + + # Currently no logging enabled + # X_AIRFLOW__CORE__REMOTE_LOGGING: '' + # X_AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER: '' + # X_AIRFLOW__CORE__REMOTE_LOG_CONN_ID: '' + # X_AIRFLOW__CORE__ENCRYPT_S3_LOGS: '' + # X_AIRFLOW_CONN_MINIO_S3_CONN: '' + X_NO_PROXY: '*' + + + - name: Build and push images + uses: noi-techpark/github-actions/docker-build-and-push@v2 + with: + working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure + docker-username: ${{ github.actor }} + docker-password: ${{ secrets.GITHUB_TOKEN }} + + - name: Deploy application + uses: noi-techpark/github-actions/docker-deploy@v2 + with: + working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure/ansible + hosts: 'test' + ssh-private-key: ${{ secrets.SSH_PRIVATE_KEY }} + docker-username: 'noi-techpark-bot' + docker-password: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }} + project-name: ${{ env.PROJECT_NAME }} + + # Deploy Prod + # TODO diff --git a/pollution_v2/docker-compose.yaml b/pollution_v2/docker-compose.yaml index 49aa4e4d..ad9f123a 100644 --- a/pollution_v2/docker-compose.yaml +++ b/pollution_v2/docker-compose.yaml @@ -53,7 +53,9 @@ x-airflow-common: # In order to add custom dependencies or upgrade provider packages you can use your extended image. # Comment the image line, place your Dockerfile in the directory where you placed the docker-compose.yaml # and uncomment the "build" line below, Then run `docker-compose build` to build the images. - build: . + build: + context: . + dockerfile: infrastructure/docker/Dockerfile environment: &airflow-common-env AIRFLOW__CORE__EXECUTOR: CeleryExecutor diff --git a/pollution_v2/infrastructure/ansible/ansible.cfg b/pollution_v2/infrastructure/ansible/ansible.cfg new file mode 100644 index 00000000..bec5ce05 --- /dev/null +++ b/pollution_v2/infrastructure/ansible/ansible.cfg @@ -0,0 +1,4 @@ +[defaults] +inventory = ./hosts +roles_path = ./roles +retry_files_enabled = False diff --git a/pollution_v2/infrastructure/ansible/deploy.yml b/pollution_v2/infrastructure/ansible/deploy.yml new file mode 100644 index 00000000..c01d4feb --- /dev/null +++ b/pollution_v2/infrastructure/ansible/deploy.yml @@ -0,0 +1,19 @@ +--- +- hosts: all + vars: + ansible_python_interpreter: /usr/bin/python3 + tasks: + - name: Login to GitHub Container Registry + ansible.builtin.shell: + cmd: echo "{{ docker_password }}" | docker login "{{ docker_host }}" --username "{{ docker_username }}" --password-stdin + - name: Execute Docker deployment + ansible.builtin.include_role: + name: ansible-docker-deployment + vars: + docker_deployment_project_name: '{{ project_name }}' + docker_deployment_release_name: '{{ release_name }}' + docker_deployment_release_files: + - local: ../docker-compose.run.yml + remote: docker-compose.yml + - local: ../../.env + remote: .env diff --git a/pollution_v2/infrastructure/ansible/hosts b/pollution_v2/infrastructure/ansible/hosts new file mode 100644 index 00000000..99f4a5d6 --- /dev/null +++ b/pollution_v2/infrastructure/ansible/hosts @@ -0,0 +1,6 @@ +[test] +docker03.testingmachine.eu ansible_user='noi-techpark-bot' ansible_ssh_common_args='-o StrictHostKeyChecking=no' + +[prod] +docker05.opendatahub.com ansible_user='noi-techpark-bot' ansible_ssh_common_args='-o StrictHostKeyChecking=no' + \ No newline at end of file diff --git a/pollution_v2/infrastructure/ansible/requirements.yml b/pollution_v2/infrastructure/ansible/requirements.yml new file mode 100644 index 00000000..cb9e81bb --- /dev/null +++ b/pollution_v2/infrastructure/ansible/requirements.yml @@ -0,0 +1,2 @@ +- src: git+https://github.com/noi-techpark/ansible-docker-deployment.git + version: "2.0" diff --git a/pollution_v2/infrastructure/ansible/roles/.gitignore b/pollution_v2/infrastructure/ansible/roles/.gitignore new file mode 100644 index 00000000..d6b7ef32 --- /dev/null +++ b/pollution_v2/infrastructure/ansible/roles/.gitignore @@ -0,0 +1,2 @@ +* +!.gitignore diff --git a/pollution_v2/infrastructure/docker-compose.build.yml b/pollution_v2/infrastructure/docker-compose.build.yml new file mode 100644 index 00000000..93d36f02 --- /dev/null +++ b/pollution_v2/infrastructure/docker-compose.build.yml @@ -0,0 +1,8 @@ +version: "3.4" + +services: + app: + image: ${DOCKER_IMAGE}:${DOCKER_TAG} + build: + context: ../ + dockerfile: infrastructure/docker/Dockerfile diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml new file mode 100644 index 00000000..80b6d847 --- /dev/null +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -0,0 +1,200 @@ +version: "3.4" + + +services: + postgres: + image: postgres:13 + environment: + POSTGRES_USER: airflow + POSTGRES_PASSWORD: airflow + POSTGRES_DB: airflow + volumes: + - postgres-db-volume:/var/lib/postgresql/data + healthcheck: + test: ["CMD", "pg_isready", "-U", "airflow"] + interval: 10s + retries: 5 + start_period: 5s + restart: always + + redis: + image: redis:latest + expose: + - 6379 + healthcheck: + test: ["CMD", "redis-cli", "ping"] + interval: 10s + timeout: 30s + retries: 50 + start_period: 30s + restart: always + + airflow-webserver: + <<: *airflow-common + command: webserver + ports: + - "8080:8080" + healthcheck: + test: ["CMD", "curl", "--fail", "http://localhost:8080/health"] + interval: 30s + timeout: 10s + retries: 5 + start_period: 30s + restart: always + depends_on: + <<: *airflow-common-depends-on + airflow-init: + condition: service_completed_successfully + + airflow-scheduler: + <<: *airflow-common + command: scheduler + healthcheck: + test: ["CMD", "curl", "--fail", "http://localhost:8974/health"] + interval: 30s + timeout: 10s + retries: 5 + start_period: 30s + restart: always + depends_on: + <<: *airflow-common-depends-on + airflow-init: + condition: service_completed_successfully + + airflow-worker: + <<: *airflow-common + command: celery worker + healthcheck: + # yamllint disable rule:line-length + test: + - "CMD-SHELL" + - 'celery --app airflow.providers.celery.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}" || celery --app airflow.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}"' + interval: 30s + timeout: 10s + retries: 5 + start_period: 30s + environment: + <<: *airflow-common-env + # Required to handle warm shutdown of the celery workers properly + # See https://airflow.apache.org/docs/docker-stack/entrypoint.html#signal-propagation + DUMB_INIT_SETSID: "0" + restart: always + depends_on: + <<: *airflow-common-depends-on + airflow-init: + condition: service_completed_successfully + + airflow-triggerer: + <<: *airflow-common + command: triggerer + healthcheck: + test: ["CMD-SHELL", 'airflow jobs check --job-type TriggererJob --hostname "$${HOSTNAME}"'] + interval: 30s + timeout: 10s + retries: 5 + start_period: 30s + restart: always + depends_on: + <<: *airflow-common-depends-on + airflow-init: + condition: service_completed_successfully + + airflow-init: + <<: *airflow-common + entrypoint: /bin/bash + # yamllint disable rule:line-length + command: + - -c + - | + if [[ -z "${AIRFLOW_UID}" ]]; then + echo + echo -e "\033[1;33mWARNING!!!: AIRFLOW_UID not set!\e[0m" + echo "If you are on Linux, you SHOULD follow the instructions below to set " + echo "AIRFLOW_UID environment variable, otherwise files will be owned by root." + echo "For other operating systems you can get rid of the warning with manually created .env file:" + echo " See: https://airflow.apache.org/docs/apache-airflow/stable/howto/docker-compose/index.html#setting-the-right-airflow-user" + echo + fi + one_meg=1048576 + mem_available=$$(($$(getconf _PHYS_PAGES) * $$(getconf PAGE_SIZE) / one_meg)) + cpus_available=$$(grep -cE 'cpu[0-9]+' /proc/stat) + disk_available=$$(df / | tail -1 | awk '{print $$4}') + warning_resources="false" + if (( mem_available < 4000 )) ; then + echo + echo -e "\033[1;33mWARNING!!!: Not enough memory available for Docker.\e[0m" + echo "At least 4GB of memory required. You have $$(numfmt --to iec $$((mem_available * one_meg)))" + echo + warning_resources="true" + fi + if (( cpus_available < 2 )); then + echo + echo -e "\033[1;33mWARNING!!!: Not enough CPUS available for Docker.\e[0m" + echo "At least 2 CPUs recommended. You have $${cpus_available}" + echo + warning_resources="true" + fi + if (( disk_available < one_meg * 10 )); then + echo + echo -e "\033[1;33mWARNING!!!: Not enough Disk space available for Docker.\e[0m" + echo "At least 10 GBs recommended. You have $$(numfmt --to iec $$((disk_available * 1024 )))" + echo + warning_resources="true" + fi + if [[ $${warning_resources} == "true" ]]; then + echo + echo -e "\033[1;33mWARNING!!!: You have not enough resources to run Airflow (see above)!\e[0m" + echo "Please follow the instructions to increase amount of resources available:" + echo " https://airflow.apache.org/docs/apache-airflow/stable/howto/docker-compose/index.html#before-you-begin" + echo + fi + exec /entrypoint airflow version + # yamllint enable rule:line-length + environment: + <<: *airflow-common-env + _AIRFLOW_DB_MIGRATE: 'true' + _AIRFLOW_WWW_USER_CREATE: 'true' + _AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow} + _AIRFLOW_WWW_USER_PASSWORD: ${_AIRFLOW_WWW_USER_PASSWORD:-airflow} + _PIP_ADDITIONAL_REQUIREMENTS: '' + user: "0:0" + volumes: + - ${AIRFLOW_PROJ_DIR:-.}:/sources + + airflow-cli: + <<: *airflow-common + profiles: + - debug + environment: + <<: *airflow-common-env + CONNECTION_CHECK_MAX_COUNT: "0" + # Workaround for entrypoint issue. See: https://github.com/apache/airflow/issues/16252 + command: + - bash + - -c + - airflow + + # You can enable flower by adding "--profile flower" option e.g. docker-compose --profile flower up + # or by explicitly targeted on the command line e.g. docker-compose up flower. + # See: https://docs.docker.com/compose/profiles/ + flower: + <<: *airflow-common + command: celery flower + profiles: + - flower + ports: + - "5555:5555" + healthcheck: + test: ["CMD", "curl", "--fail", "http://localhost:5555/"] + interval: 30s + timeout: 10s + retries: 5 + start_period: 30s + restart: always + depends_on: + <<: *airflow-common-depends-on + airflow-init: + condition: service_completed_successfully + +volumes: + postgres-db-volume: \ No newline at end of file diff --git a/pollution_v2/Dockerfile b/pollution_v2/infrastructure/docker/Dockerfile similarity index 93% rename from pollution_v2/Dockerfile rename to pollution_v2/infrastructure/docker/Dockerfile index 5c796f7b..8ad4e04c 100644 --- a/pollution_v2/Dockerfile +++ b/pollution_v2/infrastructure/docker/Dockerfile @@ -11,4 +11,4 @@ COPY requirements.txt . RUN pip install apache-airflow==${AIRFLOW_VERSION} -r requirements.txt # providers for writing logs on S3 RUN pip install apache-airflow-providers-amazon -ADD src/ /opt/airflow/dags +ADD src/ /opt/airflow/dags \ No newline at end of file From d03f37bc9397de255152746fc99952caad7f92a5 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 6 Mar 2024 10:19:08 +0100 Subject: [PATCH 012/154] pollution-v2: add airflow-common alias --- pollution_v2/infrastructure/docker-compose.run.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index 80b6d847..db325882 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -1,7 +1,8 @@ version: "3.4" -services: +x-airflow-common: + &airflow-common postgres: image: postgres:13 environment: @@ -30,7 +31,6 @@ services: restart: always airflow-webserver: - <<: *airflow-common command: webserver ports: - "8080:8080" From 84baba9f4bcaaecb28c9e6ecfbda523977c4b85b Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 6 Mar 2024 10:24:46 +0100 Subject: [PATCH 013/154] pollution-v2: remove all airflow-common alias --- .../infrastructure/docker-compose.run.yml | 17 +---------------- 1 file changed, 1 insertion(+), 16 deletions(-) diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index db325882..b39d7a76 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -1,8 +1,7 @@ version: "3.4" -x-airflow-common: - &airflow-common +services: postgres: image: postgres:13 environment: @@ -42,12 +41,10 @@ x-airflow-common: start_period: 30s restart: always depends_on: - <<: *airflow-common-depends-on airflow-init: condition: service_completed_successfully airflow-scheduler: - <<: *airflow-common command: scheduler healthcheck: test: ["CMD", "curl", "--fail", "http://localhost:8974/health"] @@ -57,12 +54,10 @@ x-airflow-common: start_period: 30s restart: always depends_on: - <<: *airflow-common-depends-on airflow-init: condition: service_completed_successfully airflow-worker: - <<: *airflow-common command: celery worker healthcheck: # yamllint disable rule:line-length @@ -74,18 +69,15 @@ x-airflow-common: retries: 5 start_period: 30s environment: - <<: *airflow-common-env # Required to handle warm shutdown of the celery workers properly # See https://airflow.apache.org/docs/docker-stack/entrypoint.html#signal-propagation DUMB_INIT_SETSID: "0" restart: always depends_on: - <<: *airflow-common-depends-on airflow-init: condition: service_completed_successfully airflow-triggerer: - <<: *airflow-common command: triggerer healthcheck: test: ["CMD-SHELL", 'airflow jobs check --job-type TriggererJob --hostname "$${HOSTNAME}"'] @@ -95,12 +87,10 @@ x-airflow-common: start_period: 30s restart: always depends_on: - <<: *airflow-common-depends-on airflow-init: condition: service_completed_successfully airflow-init: - <<: *airflow-common entrypoint: /bin/bash # yamllint disable rule:line-length command: @@ -151,7 +141,6 @@ x-airflow-common: exec /entrypoint airflow version # yamllint enable rule:line-length environment: - <<: *airflow-common-env _AIRFLOW_DB_MIGRATE: 'true' _AIRFLOW_WWW_USER_CREATE: 'true' _AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow} @@ -162,11 +151,9 @@ x-airflow-common: - ${AIRFLOW_PROJ_DIR:-.}:/sources airflow-cli: - <<: *airflow-common profiles: - debug environment: - <<: *airflow-common-env CONNECTION_CHECK_MAX_COUNT: "0" # Workaround for entrypoint issue. See: https://github.com/apache/airflow/issues/16252 command: @@ -178,7 +165,6 @@ x-airflow-common: # or by explicitly targeted on the command line e.g. docker-compose up flower. # See: https://docs.docker.com/compose/profiles/ flower: - <<: *airflow-common command: celery flower profiles: - flower @@ -192,7 +178,6 @@ x-airflow-common: start_period: 30s restart: always depends_on: - <<: *airflow-common-depends-on airflow-init: condition: service_completed_successfully From c1211f5b4561190fbbb3630fc225ad67c1a964c2 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 6 Mar 2024 10:36:58 +0100 Subject: [PATCH 014/154] pollution-v2: remove webserver --- .../infrastructure/docker-compose.run.yml | 28 +++++++++---------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index b39d7a76..b22909dc 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -29,20 +29,20 @@ services: start_period: 30s restart: always - airflow-webserver: - command: webserver - ports: - - "8080:8080" - healthcheck: - test: ["CMD", "curl", "--fail", "http://localhost:8080/health"] - interval: 30s - timeout: 10s - retries: 5 - start_period: 30s - restart: always - depends_on: - airflow-init: - condition: service_completed_successfully + # airflow-webserver: + # command: webserver + # ports: + # - "8080:8080" + # healthcheck: + # test: ["CMD", "curl", "--fail", "http://localhost:8080/health"] + # interval: 30s + # timeout: 10s + # retries: 5 + # start_period: 30s + # restart: always + # depends_on: + # airflow-init: + # condition: service_completed_successfully airflow-scheduler: command: scheduler From 719ed08c2cb04dbec8e50c064372591c6adf6c2c Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 6 Mar 2024 10:55:06 +0100 Subject: [PATCH 015/154] pollution-v2: add airflow-common --- .../infrastructure/docker-compose.run.yml | 59 ++++++++++++++----- 1 file changed, 45 insertions(+), 14 deletions(-) diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index b22909dc..f5b77872 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -2,6 +2,22 @@ version: "3.4" services: + x-airflow-common: + &airflow-common + image: ${DOCKER_IMAGE}:${DOCKER_TAG} + volumes: + - ${AIRFLOW_PROJ_DIR:-.}/src:/opt/airflow/dags + - ${AIRFLOW_PROJ_DIR:-.}/airflow/logs:/opt/airflow/logs + user: "${AIRFLOW_UID:-50000}:0" + env_file: + - .env + depends_on: + &airflow-common-depends-on + redis: + condition: service_healthy + postgres: + condition: service_healthy + postgres: image: postgres:13 environment: @@ -29,22 +45,25 @@ services: start_period: 30s restart: always - # airflow-webserver: - # command: webserver - # ports: - # - "8080:8080" - # healthcheck: - # test: ["CMD", "curl", "--fail", "http://localhost:8080/health"] - # interval: 30s - # timeout: 10s - # retries: 5 - # start_period: 30s - # restart: always - # depends_on: - # airflow-init: - # condition: service_completed_successfully + airflow-webserver: + <<: *airflow-common + command: webserver + ports: + - "8080:8080" + healthcheck: + test: ["CMD", "curl", "--fail", "http://localhost:8080/health"] + interval: 30s + timeout: 10s + retries: 5 + start_period: 30s + restart: always + depends_on: + <<: *airflow-common-depends-on + airflow-init: + condition: service_completed_successfully airflow-scheduler: + <<: *airflow-common command: scheduler healthcheck: test: ["CMD", "curl", "--fail", "http://localhost:8974/health"] @@ -54,10 +73,12 @@ services: start_period: 30s restart: always depends_on: + <<: *airflow-common-depends-on airflow-init: condition: service_completed_successfully airflow-worker: + <<: *airflow-common command: celery worker healthcheck: # yamllint disable rule:line-length @@ -69,15 +90,18 @@ services: retries: 5 start_period: 30s environment: + <<: *airflow-common-env # Required to handle warm shutdown of the celery workers properly # See https://airflow.apache.org/docs/docker-stack/entrypoint.html#signal-propagation DUMB_INIT_SETSID: "0" restart: always depends_on: + <<: *airflow-common-depends-on airflow-init: condition: service_completed_successfully airflow-triggerer: + <<: *airflow-common command: triggerer healthcheck: test: ["CMD-SHELL", 'airflow jobs check --job-type TriggererJob --hostname "$${HOSTNAME}"'] @@ -87,10 +111,12 @@ services: start_period: 30s restart: always depends_on: + <<: *airflow-common-depends-on airflow-init: condition: service_completed_successfully airflow-init: + <<: *airflow-common entrypoint: /bin/bash # yamllint disable rule:line-length command: @@ -141,6 +167,7 @@ services: exec /entrypoint airflow version # yamllint enable rule:line-length environment: + <<: *airflow-common-env _AIRFLOW_DB_MIGRATE: 'true' _AIRFLOW_WWW_USER_CREATE: 'true' _AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow} @@ -151,9 +178,11 @@ services: - ${AIRFLOW_PROJ_DIR:-.}:/sources airflow-cli: + <<: *airflow-common profiles: - debug environment: + <<: *airflow-common-env CONNECTION_CHECK_MAX_COUNT: "0" # Workaround for entrypoint issue. See: https://github.com/apache/airflow/issues/16252 command: @@ -165,6 +194,7 @@ services: # or by explicitly targeted on the command line e.g. docker-compose up flower. # See: https://docs.docker.com/compose/profiles/ flower: + <<: *airflow-common command: celery flower profiles: - flower @@ -178,6 +208,7 @@ services: start_period: 30s restart: always depends_on: + <<: *airflow-common-depends-on airflow-init: condition: service_completed_successfully From f196df7b5bcba097ee1a7a2ea88dff11a896f82c Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 6 Mar 2024 10:58:51 +0100 Subject: [PATCH 016/154] pollution-v2: ci/cd remove test --- .github/workflows/ci-pollution-v2.yml | 19 ------------------- 1 file changed, 19 deletions(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index fe5ca0bd..47033477 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -14,29 +14,10 @@ env: DOCKER_TAG: ${{ github.sha }} jobs: - test: - runs-on: ubuntu-22.04 - steps: - - name: Checkout source code - uses: noi-techpark/github-actions/checkout@v2 - - name: REUSE Compliance Check - uses: fsfe/reuse-action@v1 - - - name: install setuptools needed to use distutils with python > 3.12 - run: python3 -m pip install setuptools - - - name: Test code - uses: noi-techpark/github-actions/pip-test@v2 - with: - working-directory: ${{ env.WORKING_DIRECTORY }} - test-command: | - echo "WARNING: NO TESTS FOUND!" - # Deploy Test deploy-test-pollution-v2: runs-on: ubuntu-22.04 if: github.ref == 'refs/heads/main' - needs: test concurrency: deploy-test-pollution-v2 env: KEYCLOAK_URL: https://auth.opendatahub.testingmachine.eu From 0c27a268c3d60418b2eb7593fa482517b3a5b4b0 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 6 Mar 2024 11:10:46 +0100 Subject: [PATCH 017/154] pollution-v2: remove airflow-common-env --- pollution_v2/infrastructure/docker-compose.run.yml | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index f5b77872..38a64c01 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -89,8 +89,9 @@ services: timeout: 10s retries: 5 start_period: 30s + env_file: + - .env environment: - <<: *airflow-common-env # Required to handle warm shutdown of the celery workers properly # See https://airflow.apache.org/docs/docker-stack/entrypoint.html#signal-propagation DUMB_INIT_SETSID: "0" @@ -166,8 +167,9 @@ services: fi exec /entrypoint airflow version # yamllint enable rule:line-length + env_file: + - .env environment: - <<: *airflow-common-env _AIRFLOW_DB_MIGRATE: 'true' _AIRFLOW_WWW_USER_CREATE: 'true' _AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow} @@ -181,8 +183,9 @@ services: <<: *airflow-common profiles: - debug + env_file: + - .env environment: - <<: *airflow-common-env CONNECTION_CHECK_MAX_COUNT: "0" # Workaround for entrypoint issue. See: https://github.com/apache/airflow/issues/16252 command: From bad8b636c573305eb720cd72f7d37aa359867867 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 6 Mar 2024 11:26:29 +0100 Subject: [PATCH 018/154] pollution-v2: use docker-compose version 8 --- pollution_v2/infrastructure/docker-compose.build.yml | 2 +- pollution_v2/infrastructure/docker-compose.run.yml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pollution_v2/infrastructure/docker-compose.build.yml b/pollution_v2/infrastructure/docker-compose.build.yml index 93d36f02..0027b4dc 100644 --- a/pollution_v2/infrastructure/docker-compose.build.yml +++ b/pollution_v2/infrastructure/docker-compose.build.yml @@ -1,4 +1,4 @@ -version: "3.4" +version: "3.8" services: app: diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index 38a64c01..db9c2c31 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -1,4 +1,4 @@ -version: "3.4" +version: "3.8" services: From 0597d2b90e1b14e262cb3f2f6a07de79859c8a88 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 6 Mar 2024 11:32:30 +0100 Subject: [PATCH 019/154] pollution-v2: ci/cd add AIRFLOW_UID to env --- .github/workflows/ci-pollution-v2.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 47033477..8f292d86 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -55,6 +55,7 @@ jobs: X_PROVENANCE_NAME: ${{ env.PROJECT_NAME }} X_PROVENANCE_VERSION: ${{ github.sha }} + X_AIRFLOW_UID: 5000 X_AIRFLOW__CORE__EXECUTOR: CeleryExecutor X_AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow X_AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://airflow:airflow@postgres/airflow From dc890fb0f75881840ef35ff84e0480f3d1e6da2d Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 6 Mar 2024 12:47:32 +0100 Subject: [PATCH 020/154] pollution-v2: use docker-compose version 3.7 --- pollution_v2/infrastructure/docker-compose.build.yml | 2 +- pollution_v2/infrastructure/docker-compose.run.yml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pollution_v2/infrastructure/docker-compose.build.yml b/pollution_v2/infrastructure/docker-compose.build.yml index 0027b4dc..88efc4f9 100644 --- a/pollution_v2/infrastructure/docker-compose.build.yml +++ b/pollution_v2/infrastructure/docker-compose.build.yml @@ -1,4 +1,4 @@ -version: "3.8" +version: "3.7" services: app: diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index db9c2c31..c6cf40c9 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -1,4 +1,4 @@ -version: "3.8" +version: "3.7" services: From 90510877e8de806759010c79827b965c58f56be4 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 6 Mar 2024 12:47:44 +0100 Subject: [PATCH 021/154] pollution-v2: use docker-compose version 3.7 | 2 --- pollution_v2/docker-compose.yaml | 26 ++++++++++++++------------ 1 file changed, 14 insertions(+), 12 deletions(-) diff --git a/pollution_v2/docker-compose.yaml b/pollution_v2/docker-compose.yaml index ad9f123a..9911e383 100644 --- a/pollution_v2/docker-compose.yaml +++ b/pollution_v2/docker-compose.yaml @@ -47,7 +47,9 @@ # Default: '' # # Feel free to modify this file to suit your needs. ---- +version: "3.7" + + x-airflow-common: &airflow-common # In order to add custom dependencies or upgrade provider packages you can use your extended image. @@ -82,17 +84,17 @@ x-airflow-common: AIRFLOW_VAR_ODH_GRANT_TYPE: '' AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE: '10000' AIRFLOW_VAR_ODH_PAGINATION_SIZE: '10000' - AIRFLOW_VAR_ODH_PASSWORD: '' - AIRFLOW_VAR_ODH_USERNAME: '' - AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE: '' - AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: '' - AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: '' - AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: '' - AIRFLOW__CORE__REMOTE_LOGGING: '' - AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER: '' - AIRFLOW__CORE__REMOTE_LOG_CONN_ID: '' - AIRFLOW__CORE__ENCRYPT_S3_LOGS: '' - AIRFLOW_CONN_MINIO_S3_CONN: '' + # AIRFLOW_VAR_ODH_PASSWORD: '' + # AIRFLOW_VAR_ODH_USERNAME: '' + # AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE: '' + # AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: '' + # AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: '' + # AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: '' + # AIRFLOW__CORE__REMOTE_LOGGING: '' + # AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER: '' + # AIRFLOW__CORE__REMOTE_LOG_CONN_ID: '' + # AIRFLOW__CORE__ENCRYPT_S3_LOGS: '' + # AIRFLOW_CONN_MINIO_S3_CONN: '' NO_PROXY: '*' volumes: - ${AIRFLOW_PROJ_DIR:-.}/src:/opt/airflow/dags From 0465f37df542714d01b6eb055c851d8512121f9c Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 6 Mar 2024 13:11:27 +0100 Subject: [PATCH 022/154] pollution-v2: remove depends on and profiles to comply with docker-composw v1 --- .../infrastructure/docker-compose.run.yml | 60 +++++++++---------- 1 file changed, 30 insertions(+), 30 deletions(-) diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index c6cf40c9..a722d65e 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -11,12 +11,12 @@ services: user: "${AIRFLOW_UID:-50000}:0" env_file: - .env - depends_on: - &airflow-common-depends-on - redis: - condition: service_healthy - postgres: - condition: service_healthy + # depends_on: + # &airflow-common-depends-on + # redis: + # condition: service_healthy + # postgres: + # condition: service_healthy postgres: image: postgres:13 @@ -57,10 +57,10 @@ services: retries: 5 start_period: 30s restart: always - depends_on: - <<: *airflow-common-depends-on - airflow-init: - condition: service_completed_successfully + # depends_on: + # <<: *airflow-common-depends-on + # airflow-init: + # condition: service_completed_successfully airflow-scheduler: <<: *airflow-common @@ -72,10 +72,10 @@ services: retries: 5 start_period: 30s restart: always - depends_on: - <<: *airflow-common-depends-on - airflow-init: - condition: service_completed_successfully + # depends_on: + # <<: *airflow-common-depends-on + # airflow-init: + # condition: service_completed_successfully airflow-worker: <<: *airflow-common @@ -96,10 +96,10 @@ services: # See https://airflow.apache.org/docs/docker-stack/entrypoint.html#signal-propagation DUMB_INIT_SETSID: "0" restart: always - depends_on: - <<: *airflow-common-depends-on - airflow-init: - condition: service_completed_successfully + # depends_on: + # <<: *airflow-common-depends-on + # airflow-init: + # condition: service_completed_successfully airflow-triggerer: <<: *airflow-common @@ -111,10 +111,10 @@ services: retries: 5 start_period: 30s restart: always - depends_on: - <<: *airflow-common-depends-on - airflow-init: - condition: service_completed_successfully + # depends_on: + # <<: *airflow-common-depends-on + # airflow-init: + # condition: service_completed_successfully airflow-init: <<: *airflow-common @@ -181,8 +181,8 @@ services: airflow-cli: <<: *airflow-common - profiles: - - debug + # profiles: + # - debug env_file: - .env environment: @@ -199,8 +199,8 @@ services: flower: <<: *airflow-common command: celery flower - profiles: - - flower + # profiles: + # - flower ports: - "5555:5555" healthcheck: @@ -210,10 +210,10 @@ services: retries: 5 start_period: 30s restart: always - depends_on: - <<: *airflow-common-depends-on - airflow-init: - condition: service_completed_successfully + # depends_on: + # <<: *airflow-common-depends-on + # airflow-init: + # condition: service_completed_successfully volumes: postgres-db-volume: \ No newline at end of file From 99a6a6fa96dd84f3781e97bc64a3f49fc2b61ff4 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 6 Mar 2024 14:08:10 +0100 Subject: [PATCH 023/154] pollution-v2: readd depends_on and profiles and use ansible deployment v3 --- .../infrastructure/ansible/requirements.yml | 2 +- .../infrastructure/docker-compose.run.yml | 60 +++++++++---------- 2 files changed, 31 insertions(+), 31 deletions(-) diff --git a/pollution_v2/infrastructure/ansible/requirements.yml b/pollution_v2/infrastructure/ansible/requirements.yml index cb9e81bb..182899e6 100644 --- a/pollution_v2/infrastructure/ansible/requirements.yml +++ b/pollution_v2/infrastructure/ansible/requirements.yml @@ -1,2 +1,2 @@ - src: git+https://github.com/noi-techpark/ansible-docker-deployment.git - version: "2.0" + version: "3.0" diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index a722d65e..c6cf40c9 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -11,12 +11,12 @@ services: user: "${AIRFLOW_UID:-50000}:0" env_file: - .env - # depends_on: - # &airflow-common-depends-on - # redis: - # condition: service_healthy - # postgres: - # condition: service_healthy + depends_on: + &airflow-common-depends-on + redis: + condition: service_healthy + postgres: + condition: service_healthy postgres: image: postgres:13 @@ -57,10 +57,10 @@ services: retries: 5 start_period: 30s restart: always - # depends_on: - # <<: *airflow-common-depends-on - # airflow-init: - # condition: service_completed_successfully + depends_on: + <<: *airflow-common-depends-on + airflow-init: + condition: service_completed_successfully airflow-scheduler: <<: *airflow-common @@ -72,10 +72,10 @@ services: retries: 5 start_period: 30s restart: always - # depends_on: - # <<: *airflow-common-depends-on - # airflow-init: - # condition: service_completed_successfully + depends_on: + <<: *airflow-common-depends-on + airflow-init: + condition: service_completed_successfully airflow-worker: <<: *airflow-common @@ -96,10 +96,10 @@ services: # See https://airflow.apache.org/docs/docker-stack/entrypoint.html#signal-propagation DUMB_INIT_SETSID: "0" restart: always - # depends_on: - # <<: *airflow-common-depends-on - # airflow-init: - # condition: service_completed_successfully + depends_on: + <<: *airflow-common-depends-on + airflow-init: + condition: service_completed_successfully airflow-triggerer: <<: *airflow-common @@ -111,10 +111,10 @@ services: retries: 5 start_period: 30s restart: always - # depends_on: - # <<: *airflow-common-depends-on - # airflow-init: - # condition: service_completed_successfully + depends_on: + <<: *airflow-common-depends-on + airflow-init: + condition: service_completed_successfully airflow-init: <<: *airflow-common @@ -181,8 +181,8 @@ services: airflow-cli: <<: *airflow-common - # profiles: - # - debug + profiles: + - debug env_file: - .env environment: @@ -199,8 +199,8 @@ services: flower: <<: *airflow-common command: celery flower - # profiles: - # - flower + profiles: + - flower ports: - "5555:5555" healthcheck: @@ -210,10 +210,10 @@ services: retries: 5 start_period: 30s restart: always - # depends_on: - # <<: *airflow-common-depends-on - # airflow-init: - # condition: service_completed_successfully + depends_on: + <<: *airflow-common-depends-on + airflow-init: + condition: service_completed_successfully volumes: postgres-db-volume: \ No newline at end of file From 2ba4129f81a3fa963f063730f1e6765fa12900af Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 6 Mar 2024 14:59:18 +0100 Subject: [PATCH 024/154] pollution-v2: re add ODH_USERNAME and ODH_PASSWORD --- .github/workflows/ci-pollution-v2.yml | 4 ++-- pollution_v2/docker-compose.yaml | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 8f292d86..a3fba76c 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -82,8 +82,8 @@ jobs: X_AIRFLOW_VAR_ODH_PAGINATION_SIZE: '10000' # username/pass not needed with client_credentials - # X_AIRFLOW_VAR_ODH_PASSWORD: '' - # X_AIRFLOW_VAR_ODH_USERNAME: '' + X_AIRFLOW_VAR_ODH_PASSWORD: 'ODH_PASSWORD' + X_AIRFLOW_VAR_ODH_USERNAME: 'ODH_USERNAME' X_AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE: "2017-01-01 00:00:00+00:00" X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'pollution-v2-connector-redis' X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 diff --git a/pollution_v2/docker-compose.yaml b/pollution_v2/docker-compose.yaml index 9911e383..95b72c91 100644 --- a/pollution_v2/docker-compose.yaml +++ b/pollution_v2/docker-compose.yaml @@ -84,8 +84,8 @@ x-airflow-common: AIRFLOW_VAR_ODH_GRANT_TYPE: '' AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE: '10000' AIRFLOW_VAR_ODH_PAGINATION_SIZE: '10000' - # AIRFLOW_VAR_ODH_PASSWORD: '' - # AIRFLOW_VAR_ODH_USERNAME: '' + AIRFLOW_VAR_ODH_PASSWORD: '' + AIRFLOW_VAR_ODH_USERNAME: '' # AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE: '' # AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: '' # AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: '' From b884eecdcd755b1fa08fe7ab8831e5e0ef35df5f Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 6 Mar 2024 15:19:19 +0100 Subject: [PATCH 025/154] pollution-v2: disable volumes and remove duplicate celery url --- .github/workflows/ci-pollution-v2.yml | 4 ---- pollution_v2/infrastructure/docker-compose.run.yml | 7 ++++--- 2 files changed, 4 insertions(+), 7 deletions(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index a3fba76c..3dda4303 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -36,10 +36,6 @@ jobs: X_LOG_LEVEL: INFO X_LOG_LEVEL_LIBS: INFO - - X_CELERY_BROKER_URL: redis://pollution-v2-connector-redis:6379/1 - X_CELERY_BACKEND_URL: redis://pollution-v2-connector-redis:6379/2 - X_CELERY_RESULT_EXPIRATION_SECONDS: "604800" X_pollution-v2_TASK_SCHEDULING_MINUTE: "*/10" X_pollution-v2_TASK_SCHEDULING_HOUR: "*" diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index c6cf40c9..66fdf93c 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -5,9 +5,10 @@ services: x-airflow-common: &airflow-common image: ${DOCKER_IMAGE}:${DOCKER_TAG} - volumes: - - ${AIRFLOW_PROJ_DIR:-.}/src:/opt/airflow/dags - - ${AIRFLOW_PROJ_DIR:-.}/airflow/logs:/opt/airflow/logs + # temporarly disabled: permission denied + # volumes: + # - ${AIRFLOW_PROJ_DIR:-.}/src:/opt/airflow/dags + # - ${AIRFLOW_PROJ_DIR:-.}/airflow/logs:/opt/airflow/logs user: "${AIRFLOW_UID:-50000}:0" env_file: - .env From b7cc114a7adb301d050e58fa65c8f574a079713a Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Thu, 7 Mar 2024 17:22:03 +0100 Subject: [PATCH 026/154] pollution_v2: import correction - issue #23 --- .../src/dags/aiaas_pollution_computer.py | 2 +- pollution_v2/src/main_pollution_connector.py | 2 +- .../manager/pollution_computation.py | 2 +- .../src/tests/test_pollution_computation.py | 24 +++++++++---------- .../tests/test_pollution_connector_tasks.py | 14 +++++------ 5 files changed, 22 insertions(+), 22 deletions(-) diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index b372b3cd..c8ad9687 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -18,7 +18,7 @@ COMPUTATION_CHECKPOINT_REDIS_DB, COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_HOST, \ PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION, DAG_POLLUTION_EXECUTION_CRONTAB, \ DEFAULT_TIMEZONE, DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN -from pollution_connector.tasks.pollution_computation import PollutionComputationManager +from pollution_connector.manager.pollution_computation import PollutionComputationManager # see https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dynamic-task-mapping.html diff --git a/pollution_v2/src/main_pollution_connector.py b/pollution_v2/src/main_pollution_connector.py index c43c44b9..d17ac711 100644 --- a/pollution_v2/src/main_pollution_connector.py +++ b/pollution_v2/src/main_pollution_connector.py @@ -24,7 +24,7 @@ from common.settings import DEFAULT_TIMEZONE, ODH_MINIMUM_STARTING_DATE, PROVENANCE_ID, PROVENANCE_LINEAGE, \ PROVENANCE_NAME, PROVENANCE_VERSION, COMPUTATION_CHECKPOINT_REDIS_HOST, \ COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_DB, SENTRY_SAMPLE_RATE -from pollution_connector.tasks.pollution_computation import PollutionComputationManager +from pollution_connector.manager.pollution_computation import PollutionComputationManager logging.config.dictConfig(get_logging_configuration("main_pollution_connector")) logger = logging.getLogger("main_pollution_connector") diff --git a/pollution_v2/src/pollution_connector/manager/pollution_computation.py b/pollution_v2/src/pollution_connector/manager/pollution_computation.py index 5eba2912..c6c9d9f5 100644 --- a/pollution_v2/src/pollution_connector/manager/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/manager/pollution_computation.py @@ -17,7 +17,7 @@ from pollution_connector.model.pollution_computation_model import PollutionComputationModel from common.settings import DEFAULT_TIMEZONE, ODH_MINIMUM_STARTING_DATE, ODH_COMPUTATION_BATCH_SIZE -logger = logging.getLogger("pollution_connector.tasks.pollution_computation") +logger = logging.getLogger("pollution_connector.manager.pollution_computation") class PollutionComputationManager(TrafficStationManager): diff --git a/pollution_v2/src/tests/test_pollution_computation.py b/pollution_v2/src/tests/test_pollution_computation.py index 95820e07..9e969bb4 100644 --- a/pollution_v2/src/tests/test_pollution_computation.py +++ b/pollution_v2/src/tests/test_pollution_computation.py @@ -25,10 +25,10 @@ def setUp(self): self.latest_date = DEFAULT_TIMEZONE.localize(datetime(2024, 1, 30)) @patch("dags.common.TrafficStationsDAG.init_date_range") - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._upload_pollution_data") - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._compute_pollution_data") - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._get_starting_date_for_station") - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._get_latest_date_for_station") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_pollution_data") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_pollution_data") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_starting_date_for_station") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_latest_date_for_station") @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, get_start_date_mock, compute_mock, upload_mock, init_date_range_mock): @@ -66,10 +66,10 @@ def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, upload_mock.assert_called_once() @patch("dags.common.TrafficStationsDAG.init_date_range") - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._upload_pollution_data") - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._compute_pollution_data") - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._get_starting_date_for_station") - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._get_latest_date_for_station") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_pollution_data") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_pollution_data") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_starting_date_for_station") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_latest_date_for_station") @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") def test_run_computation_date_range_when_more_data(self, download_mock, latest_date_mock, get_start_date_mock, compute_mock, upload_mock, init_date_range_mock): @@ -116,10 +116,10 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d upload_mock.assert_called_once() @patch("dags.common.TrafficStationsDAG.init_date_range") - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._upload_pollution_data") - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._compute_pollution_data") - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._get_starting_date_for_station") - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._get_latest_date_for_station") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_pollution_data") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_pollution_data") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_starting_date_for_station") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_latest_date_for_station") @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") def test_run_computation_date_range_when_few_data(self, download_mock, latest_date_mock, get_start_date_mock, compute_mock, upload_mock, init_date_range_mock): diff --git a/pollution_v2/src/tests/test_pollution_connector_tasks.py b/pollution_v2/src/tests/test_pollution_connector_tasks.py index 35c60f64..89a4f92d 100644 --- a/pollution_v2/src/tests/test_pollution_connector_tasks.py +++ b/pollution_v2/src/tests/test_pollution_connector_tasks.py @@ -12,7 +12,7 @@ class TestPollutionComputerDAGTasks(TestPollutionComputerCommon): - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager.get_traffic_stations_from_cache") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.get_traffic_stations_from_cache") def test_get_traffic_station_is_called(self, get_traffic_stations_mock): """ Test that the get_traffic_stations_from_cache method is called when the get_stations_list task is run. @@ -29,7 +29,7 @@ def test_get_traffic_station_is_called(self, get_traffic_stations_mock): get_traffic_stations_mock.assert_called_once() - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager.get_traffic_stations_from_cache") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.get_traffic_stations_from_cache") def test_get_traffic_station_gets_stations_from_cache(self, get_traffic_stations_mock): """ Test that the get_traffic_stations_from_cache method is called when the get_stations_list task is run. @@ -55,7 +55,7 @@ def test_get_traffic_station_gets_stations_from_cache(self, get_traffic_stations # Test that the return value contains the entire list of stations self.assertEqual(return_value, [self.station_dict, station_dict_2]) - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager.get_traffic_stations_from_cache") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.get_traffic_stations_from_cache") def test_get_traffic_station_retrieves_passed_stations(self, get_traffic_stations_mock): """ Test that the get_traffic_stations_from_cache method is called when the get_stations_list task is run. @@ -81,7 +81,7 @@ def test_get_traffic_station_retrieves_passed_stations(self, get_traffic_station # Test that the return value contains only the passed station self.assertEqual(return_value, [self.station_dict]) - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager.run_computation_for_station") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.run_computation_for_station") def test_run_computation_for_station_is_called(self, run_computation_for_station_mock): """ Test that the run_computation_for_station method is called when the process_station task is run. @@ -94,7 +94,7 @@ def test_run_computation_for_station_is_called(self, run_computation_for_station run_computation_for_station_mock.assert_called_once() - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager.run_computation_for_station") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.run_computation_for_station") def test_run_computation_for_station_gets_correct_input(self, run_computation_for_station_mock): """ Test that the run_computation_for_station method is called when the process_station task is run. @@ -113,7 +113,7 @@ def test_run_computation_for_station_gets_correct_input(self, run_computation_fo @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.execute") @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.__init__") - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager.get_all_latest_measures") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.get_all_latest_measures") def test_trigger_next_dag_run_triggers_task_with_station(self, get_all_latest_measure_mock, trigger_dag_run_mock, trigger_dag_run_execute_mock): """ @@ -147,7 +147,7 @@ def test_trigger_next_dag_run_triggers_task_with_station(self, get_all_latest_me @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.execute") @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.__init__") - @patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager.get_all_latest_measures") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.get_all_latest_measures") def test_trigger_next_dag_run_passes_correct_stations(self, get_all_latest_measures_mock, trigger_dag_run_mock, trigger_dag_run_execute_mock): """ From d37f04c06ffbc448437cb9a7d0aab2761613ae74 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Thu, 7 Mar 2024 17:22:53 +0100 Subject: [PATCH 027/154] pollution_v2: corrected data type - issue #23 --- pollution_v2/src/common/data_model/validation.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pollution_v2/src/common/data_model/validation.py b/pollution_v2/src/common/data_model/validation.py index 917eb9c8..08f5b935 100644 --- a/pollution_v2/src/common/data_model/validation.py +++ b/pollution_v2/src/common/data_model/validation.py @@ -57,7 +57,7 @@ def build_from_validation_entries(validation_entries: List[ValidationEntry], pro for validation_entry in validation_entries: validation_measures.append(ValidationMeasure( station=validation_entry.station, - data_type=data_types_dict[f"{validation_entry.vehicle_class.name}-{validation_entry.validation_class.name}-emissions"], + data_type=data_types_dict[f"{validation_entry.vehicle_class.name}-{validation_entry.validation_class.name}"], provenance=provenance, period=validation_entry.period, transaction_time=None, From 64f89b4f7dc0cd08617827abd43a5296ceca7759 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Thu, 7 Mar 2024 17:55:54 +0100 Subject: [PATCH 028/154] pollution-v2: add AIRFLOW_PROJ_DIR --- .github/workflows/ci-pollution-v2.yml | 1 + pollution_v2/infrastructure/docker-compose.run.yml | 6 +++--- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 3dda4303..8cdd6797 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -51,6 +51,7 @@ jobs: X_PROVENANCE_NAME: ${{ env.PROJECT_NAME }} X_PROVENANCE_VERSION: ${{ github.sha }} + X_AIRFLOW_PROJ_DIR: /opt/pollution-v2/airflow X_AIRFLOW_UID: 5000 X_AIRFLOW__CORE__EXECUTOR: CeleryExecutor X_AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index 66fdf93c..753f4478 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -6,9 +6,9 @@ services: &airflow-common image: ${DOCKER_IMAGE}:${DOCKER_TAG} # temporarly disabled: permission denied - # volumes: - # - ${AIRFLOW_PROJ_DIR:-.}/src:/opt/airflow/dags - # - ${AIRFLOW_PROJ_DIR:-.}/airflow/logs:/opt/airflow/logs + volumes: + - ${AIRFLOW_PROJ_DIR:-.}/src:/opt/airflow/dags + - ${AIRFLOW_PROJ_DIR:-.}/airflow/logs:/opt/airflow/logs user: "${AIRFLOW_UID:-50000}:0" env_file: - .env From 0c7c7fb5daafd0fe8d3631f812aecde34926f00f Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Thu, 7 Mar 2024 18:29:30 +0100 Subject: [PATCH 029/154] pollution-v2: change mounted volumes --- pollution_v2/infrastructure/docker-compose.run.yml | 3 +-- pollution_v2/infrastructure/docker/Dockerfile | 2 +- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index 753f4478..3d6a5f52 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -7,9 +7,8 @@ services: image: ${DOCKER_IMAGE}:${DOCKER_TAG} # temporarly disabled: permission denied volumes: - - ${AIRFLOW_PROJ_DIR:-.}/src:/opt/airflow/dags - ${AIRFLOW_PROJ_DIR:-.}/airflow/logs:/opt/airflow/logs - user: "${AIRFLOW_UID:-50000}:0" + # user: "${AIRFLOW_UID:-50000}:0" env_file: - .env depends_on: diff --git a/pollution_v2/infrastructure/docker/Dockerfile b/pollution_v2/infrastructure/docker/Dockerfile index 8ad4e04c..bd1daf7d 100644 --- a/pollution_v2/infrastructure/docker/Dockerfile +++ b/pollution_v2/infrastructure/docker/Dockerfile @@ -11,4 +11,4 @@ COPY requirements.txt . RUN pip install apache-airflow==${AIRFLOW_VERSION} -r requirements.txt # providers for writing logs on S3 RUN pip install apache-airflow-providers-amazon -ADD src/ /opt/airflow/dags \ No newline at end of file +ADD src/dags /opt/airflow/dags \ No newline at end of file From 873d68810517bdb85d665deb6fbbe4fb24f7adfe Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 11 Mar 2024 08:38:36 +0100 Subject: [PATCH 030/154] pollution_v2: more generalisation on managers - issue #23 --- .../src/common/manager/traffic_station.py | 63 +++++++++++++++++-- .../manager/pollution_computation.py | 58 ++--------------- .../src/tests/test_pollution_computation.py | 12 ++-- 3 files changed, 68 insertions(+), 65 deletions(-) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index b19608e8..5da2f93f 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -6,22 +6,75 @@ import itertools import logging +from abc import ABC, abstractmethod from datetime import datetime -from typing import List +from typing import List, Optional from common.connector.collector import ConnectorCollector -from common.data_model import TrafficMeasureCollection, TrafficSensorStation, StationLatestMeasure -from common.settings import ODH_MINIMUM_STARTING_DATE +from common.connector.common import ODHBaseConnector +from common.data_model import TrafficMeasureCollection, TrafficSensorStation, StationLatestMeasure, Measure +from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE +from pollution_connector.cache.computation_checkpoint import ComputationCheckpoint, ComputationCheckpointCache logger = logging.getLogger("common.manager.traffic_station") -class TrafficStationManager: +class TrafficStationManager(ABC): - def __init__(self, connector_collector: ConnectorCollector): + def __init__(self, connector_collector: ConnectorCollector, checkpoint_cache: Optional[ComputationCheckpointCache] = None): + self._checkpoint_cache = checkpoint_cache self._connector_collector = connector_collector self._traffic_stations: List[TrafficSensorStation] = [] + def _get_latest_date(self, connector: ODHBaseConnector, traffic_station: TrafficSensorStation) -> datetime: + measures = connector.get_latest_measures(station=traffic_station) + return max(list(map(lambda m: m.valid_time, measures)), default=ODH_MINIMUM_STARTING_DATE) + + def _get_starting_date(self, connector: ODHBaseConnector, traffic_station: TrafficSensorStation, min_from_date: datetime) -> datetime: + latest_measure = self._get_latest_measure_by_connector(connector, traffic_station) + if latest_measure is None: + logger.info(f"No measures available for station [{traffic_station.code}]") + if self._checkpoint_cache is not None: + checkpoint = self._checkpoint_cache.get(ComputationCheckpoint.get_id_for_station(traffic_station)) + if checkpoint is not None: + logger.info(f"Using checkpoint date [{checkpoint.checkpoint_dt.isoformat()}] as starting date for station [{traffic_station.code}]") + from_date = checkpoint.checkpoint_dt + else: + from_date = min_from_date # If there isn't any latest measure available, the min_from_date is used as starting date for the batch + else: + from_date = min_from_date # If there isn't any latest measure available, the min_from_date is used as starting date for the batch + else: + from_date = latest_measure.valid_time + + if from_date.tzinfo is None: + from_date = DEFAULT_TIMEZONE.localize(from_date) + + if from_date.microsecond: + from_date = from_date.replace(microsecond=0) + + if from_date < min_from_date: + logger.warning(f"Using latest measure date [{from_date.isoformat()}] as starting date, " + f"but it's before the minimum starting date [{min_from_date.isoformat()}]") + elif from_date > min_from_date: + logger.warning(f"Using latest measure date [{from_date.isoformat()}] as starting date, " + f"which is after the minimum starting date [{min_from_date.isoformat()}]") + + return from_date + + def _get_latest_measure_by_connector(self, connector: ODHBaseConnector, traffic_station: TrafficSensorStation) -> Optional[Measure]: + """ + Retrieve the latest measure for a given station. It will be the oldest one among all the measure types + even though should be the same for all the types. + + :param traffic_station: The station for which retrieve the latest measure. + :return: The latest measure for a given station. + """ + latest_measures = connector.get_latest_measures(traffic_station) + if latest_measures: + self._create_data_types = False + latest_measures.sort(key=lambda x: x.valid_time) + return latest_measures[0] + def get_traffic_stations_from_cache(self) -> List[TrafficSensorStation]: if len(self._traffic_stations) == 0: logger.info("Retrieving station list from ODH") diff --git a/pollution_v2/src/pollution_connector/manager/pollution_computation.py b/pollution_v2/src/pollution_connector/manager/pollution_computation.py index c6c9d9f5..e2d72edf 100644 --- a/pollution_v2/src/pollution_connector/manager/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/manager/pollution_computation.py @@ -15,7 +15,7 @@ from common.data_model.pollution import PollutionMeasure, PollutionMeasureCollection, PollutionEntry from common.data_model import TrafficMeasureCollection, TrafficSensorStation from pollution_connector.model.pollution_computation_model import PollutionComputationModel -from common.settings import DEFAULT_TIMEZONE, ODH_MINIMUM_STARTING_DATE, ODH_COMPUTATION_BATCH_SIZE +from common.settings import DEFAULT_TIMEZONE, ODH_COMPUTATION_BATCH_SIZE logger = logging.getLogger("pollution_connector.manager.pollution_computation") @@ -23,60 +23,10 @@ class PollutionComputationManager(TrafficStationManager): def __init__(self, connector_collector: ConnectorCollector, provenance: Provenance, checkpoint_cache: Optional[ComputationCheckpointCache] = None): - super().__init__(connector_collector) - self._checkpoint_cache = checkpoint_cache + super().__init__(connector_collector, checkpoint_cache) self._provenance = provenance self._create_data_types = True - def _get_latest_pollution_measure(self, traffic_station: TrafficSensorStation) -> Optional[PollutionMeasure]: - """ - Retrieve the latest pollution measure for a given station. It will be the oldest one among all the measure types - (CO-emissions, CO2-emissions, ...) even though should be the same for all the types. - - :param traffic_station: The station for which retrieve the latest pollution measure. - :return: The latest pollution measure for a given station. - """ - latest_pollution_measures = self._connector_collector.pollution.get_latest_measures(traffic_station) - if latest_pollution_measures: - self._create_data_types = False - latest_pollution_measures.sort(key=lambda x: x.valid_time) - return latest_pollution_measures[0] - - def _get_starting_date_for_station(self, traffic_station: TrafficSensorStation, min_from_date: datetime) -> datetime: - latest_pollution_measure = self._get_latest_pollution_measure(traffic_station) - if latest_pollution_measure is None: - logger.info(f"No pollution measures available for station [{traffic_station.code}]") - if self._checkpoint_cache is not None: - checkpoint = self._checkpoint_cache.get(ComputationCheckpoint.get_id_for_station(traffic_station)) - if checkpoint is not None: - logger.info(f"Using checkpoint date [{checkpoint.checkpoint_dt.isoformat()}] as starting date for station [{traffic_station.code}]") - from_date = checkpoint.checkpoint_dt - else: - from_date = min_from_date # If there isn't any latest pollution measure available, the min_from_date is used as starting date for the batch - else: - from_date = min_from_date # If there isn't any latest pollution measure available, the min_from_date is used as starting date for the batch - else: - from_date = latest_pollution_measure.valid_time - - if from_date.tzinfo is None: - from_date = DEFAULT_TIMEZONE.localize(from_date) - - if from_date.microsecond: - from_date = from_date.replace(microsecond=0) - - if from_date < min_from_date: - logger.warning(f"Using latest pollution measure date [{from_date.isoformat()}] as starting date, " - f"but it's before the minimum starting date [{min_from_date.isoformat()}]") - elif from_date > min_from_date: - logger.warning(f"Using latest pollution measure date [{from_date.isoformat()}] as starting date, " - f"which is after the minimum starting date [{min_from_date.isoformat()}]") - - return from_date - - def _get_latest_date_for_station(self, traffic_station: TrafficSensorStation) -> datetime: - measures = self._connector_collector.traffic.get_latest_measures(station=traffic_station) - return max(list(map(lambda m: m.valid_time, measures)), default=ODH_MINIMUM_STARTING_DATE) - @staticmethod def _compute_pollution_data(traffic_data: TrafficMeasureCollection) -> List[PollutionEntry]: """ @@ -112,12 +62,12 @@ def run_computation_for_station(self, min_from_date: datetime, max_to_date: datetime): - start_date = self._get_starting_date_for_station(traffic_station, min_from_date) + start_date = self._get_starting_date(self._connector_collector.pollution, traffic_station, min_from_date) # Detect inactive stations: # If we're about to request more than one window of measurements, do a check first if there even is any new data if (max_to_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: - latest_measurement_date = self._get_latest_date_for_station(traffic_station) + latest_measurement_date = self._get_latest_date(self._connector_collector.validation, traffic_station) # traffic data request range end is the latest measurement # For inactive stations, this latest measurement date will be < start_date, thus no further requests will be made # In general, it makes no sense to ask for data beyond the latest measurement, if we already know which date that is. diff --git a/pollution_v2/src/tests/test_pollution_computation.py b/pollution_v2/src/tests/test_pollution_computation.py index 9e969bb4..2bf58cc6 100644 --- a/pollution_v2/src/tests/test_pollution_computation.py +++ b/pollution_v2/src/tests/test_pollution_computation.py @@ -27,8 +27,8 @@ def setUp(self): @patch("dags.common.TrafficStationsDAG.init_date_range") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_pollution_data") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_pollution_data") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_starting_date_for_station") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_latest_date_for_station") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_starting_date") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_latest_date") @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, get_start_date_mock, compute_mock, upload_mock, init_date_range_mock): @@ -68,8 +68,8 @@ def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, @patch("dags.common.TrafficStationsDAG.init_date_range") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_pollution_data") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_pollution_data") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_starting_date_for_station") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_latest_date_for_station") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_starting_date") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_latest_date") @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") def test_run_computation_date_range_when_more_data(self, download_mock, latest_date_mock, get_start_date_mock, compute_mock, upload_mock, init_date_range_mock): @@ -118,8 +118,8 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d @patch("dags.common.TrafficStationsDAG.init_date_range") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_pollution_data") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_pollution_data") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_starting_date_for_station") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_latest_date_for_station") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_starting_date") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_latest_date") @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") def test_run_computation_date_range_when_few_data(self, download_mock, latest_date_mock, get_start_date_mock, compute_mock, upload_mock, init_date_range_mock): From 59e5e068591aab2d3564b393c72f7f5ceebf1e85 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 11 Mar 2024 13:57:34 +0100 Subject: [PATCH 031/154] pollution_v2: heavy refactoring to generalise managers -wip - issue #23 --- pollution_v2/src/common/__init__.py | 4 + .../cache/__init__.py | 0 .../cache/common.py | 0 .../cache/computation_checkpoint.py | 2 +- .../src/common/connector/pollution.py | 2 +- pollution_v2/src/common/data_model/common.py | 3 + pollution_v2/src/common/data_model/entry.py | 25 +++ .../src/common/data_model/pollution.py | 22 +- pollution_v2/src/common/data_model/traffic.py | 17 +- .../src/common/data_model/validation.py | 28 +-- pollution_v2/src/common/manager/__init__.py | 4 + .../src/common/manager/traffic_station.py | 194 ++++++++++++++++-- pollution_v2/src/common/model/__init__.py | 4 + pollution_v2/src/common/model/model.py | 16 ++ .../src/dags/aiaas_pollution_computer.py | 2 +- pollution_v2/src/main_pollution_connector.py | 12 +- .../manager/pollution_computation.py | 125 +---------- .../model/pollution_computation_model.py | 9 +- .../src/tests/test_pollution_computation.py | 12 +- .../src/validator/manager/validation.py | 26 +++ .../manager/validation_computation.py | 26 +++ .../src/validator/model/validatation_model.py | 36 ++++ 22 files changed, 389 insertions(+), 180 deletions(-) rename pollution_v2/src/{pollution_connector => common}/cache/__init__.py (100%) rename pollution_v2/src/{pollution_connector => common}/cache/common.py (100%) rename pollution_v2/src/{pollution_connector => common}/cache/computation_checkpoint.py (95%) create mode 100644 pollution_v2/src/common/data_model/entry.py create mode 100644 pollution_v2/src/common/model/__init__.py create mode 100644 pollution_v2/src/common/model/model.py create mode 100644 pollution_v2/src/validator/manager/validation.py create mode 100644 pollution_v2/src/validator/manager/validation_computation.py create mode 100644 pollution_v2/src/validator/model/validatation_model.py diff --git a/pollution_v2/src/common/__init__.py b/pollution_v2/src/common/__init__.py index e69de29b..672438d8 100644 --- a/pollution_v2/src/common/__init__.py +++ b/pollution_v2/src/common/__init__.py @@ -0,0 +1,4 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + diff --git a/pollution_v2/src/pollution_connector/cache/__init__.py b/pollution_v2/src/common/cache/__init__.py similarity index 100% rename from pollution_v2/src/pollution_connector/cache/__init__.py rename to pollution_v2/src/common/cache/__init__.py diff --git a/pollution_v2/src/pollution_connector/cache/common.py b/pollution_v2/src/common/cache/common.py similarity index 100% rename from pollution_v2/src/pollution_connector/cache/common.py rename to pollution_v2/src/common/cache/common.py diff --git a/pollution_v2/src/pollution_connector/cache/computation_checkpoint.py b/pollution_v2/src/common/cache/computation_checkpoint.py similarity index 95% rename from pollution_v2/src/pollution_connector/cache/computation_checkpoint.py rename to pollution_v2/src/common/cache/computation_checkpoint.py index d097808d..86ccb0eb 100644 --- a/pollution_v2/src/pollution_connector/cache/computation_checkpoint.py +++ b/pollution_v2/src/common/cache/computation_checkpoint.py @@ -10,7 +10,7 @@ import redis -from pollution_connector.cache.common import CacheData, RedisCache +from common.cache.common import CacheData, RedisCache from common.data_model.common import Station diff --git a/pollution_v2/src/common/connector/pollution.py b/pollution_v2/src/common/connector/pollution.py index 023beb87..f34968a3 100644 --- a/pollution_v2/src/common/connector/pollution.py +++ b/pollution_v2/src/common/connector/pollution.py @@ -30,7 +30,7 @@ def __init__(self, requests_retry_sleep_time: float) -> None: station_type = "TrafficSensor" - measure_types = PollutionMeasure.get_pollution_data_types() + measure_types = PollutionMeasure.get_data_types() measure_types = [measure_type.name for measure_type in measure_types] super().__init__(base_reader_url, diff --git a/pollution_v2/src/common/data_model/common.py b/pollution_v2/src/common/data_model/common.py index 1ca7d7d8..8560c3e7 100644 --- a/pollution_v2/src/common/data_model/common.py +++ b/pollution_v2/src/common/data_model/common.py @@ -219,3 +219,6 @@ def get_stations(self) -> Dict[str, StationType]: if measure.station.code not in stations_dict: stations_dict[measure.station.code] = measure.station return stations_dict + + +MeasureCollectionType = TypeVar("MeasureCollectionType", bound=MeasureCollection) diff --git a/pollution_v2/src/common/data_model/entry.py b/pollution_v2/src/common/data_model/entry.py new file mode 100644 index 00000000..0578dc44 --- /dev/null +++ b/pollution_v2/src/common/data_model/entry.py @@ -0,0 +1,25 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +from datetime import datetime +from typing import Optional, TypeVar + +from common.data_model.common import VehicleClass +from common.data_model.traffic import TrafficSensorStation + + +class GenericEntry: + + def __init__(self, station: TrafficSensorStation, valid_time: datetime, vehicle_class: VehicleClass, + entry_value: Optional[float], period: Optional[int]): + self.station = station + self.valid_time = valid_time + self.vehicle_class = vehicle_class + self.entry_value = entry_value + self.period = period + + +GenericEntryType = TypeVar("GenericEntryType", bound=GenericEntry) diff --git a/pollution_v2/src/common/data_model/pollution.py b/pollution_v2/src/common/data_model/pollution.py index fe6caa76..7295f87b 100644 --- a/pollution_v2/src/common/data_model/pollution.py +++ b/pollution_v2/src/common/data_model/pollution.py @@ -10,6 +10,7 @@ from typing import Optional, List, Dict from common.data_model.common import VehicleClass, MeasureCollection, Measure, Provenance, DataType +from common.data_model.entry import GenericEntry from common.data_model.traffic import TrafficSensorStation @@ -23,19 +24,18 @@ class PollutantClass(Enum): @dataclass -class PollutionEntry: - station: TrafficSensorStation - valid_time: datetime - vehicle_class: VehicleClass - pollutant_class: PollutantClass - pollutant_value: Optional[float] - period: Optional[int] +class PollutionEntry(GenericEntry): + + def __init__(self, station: TrafficSensorStation, valid_time: datetime, vehicle_class: VehicleClass, + entry_class: PollutantClass, entry_value: Optional[float], period: Optional[int]): + super().__init__(station, valid_time, vehicle_class, entry_value, period) + self.entry_class = entry_class class PollutionMeasure(Measure): @staticmethod - def get_pollution_data_types() -> List[DataType]: + def get_data_types() -> List[DataType]: data_types = [] for vehicle in VehicleClass: for pollutant in PollutantClass: @@ -55,17 +55,17 @@ def build_from_pollution_entries(pollution_entries: List[PollutionEntry], proven :param provenance: the provenance of the pollution measures :return: a PollutionMeasureCollection object containing the pollution measures generated from the pollution entries """ - data_types_dict: Dict[str, DataType] = {data_type.name: data_type for data_type in PollutionMeasure.get_pollution_data_types()} + data_types_dict: Dict[str, DataType] = {data_type.name: data_type for data_type in PollutionMeasure.get_data_types()} pollution_measures: List[PollutionMeasure] = [] for pollution_entry in pollution_entries: pollution_measures.append(PollutionMeasure( station=pollution_entry.station, - data_type=data_types_dict[f"{pollution_entry.vehicle_class.name}-{pollution_entry.pollutant_class.name}-emissions"], + data_type=data_types_dict[f"{pollution_entry.vehicle_class.name}-{pollution_entry.entry_class.name}-emissions"], provenance=provenance, period=pollution_entry.period, transaction_time=None, valid_time=pollution_entry.valid_time, - value=pollution_entry.pollutant_value + value=pollution_entry.entry_value )) return PollutionMeasureCollection(pollution_measures) diff --git a/pollution_v2/src/common/data_model/traffic.py b/pollution_v2/src/common/data_model/traffic.py index 0621d2a1..d06c7fa0 100644 --- a/pollution_v2/src/common/data_model/traffic.py +++ b/pollution_v2/src/common/data_model/traffic.py @@ -6,7 +6,7 @@ from dataclasses import dataclass from datetime import datetime -from typing import Optional, Dict, Iterator +from typing import Optional, Dict, Iterator, TypeVar import dateutil.parser @@ -57,6 +57,9 @@ def from_json(cls, dict_data) -> TrafficSensorStation: ) +TrafficSensorStationType = TypeVar("TrafficSensorStationType", bound=TrafficSensorStation) + + @dataclass class TrafficMeasure(Measure): station: TrafficSensorStation @@ -68,7 +71,8 @@ def from_odh_repr(cls, raw_data: dict): data_type=DataType.from_odh_repr(raw_data), provenance=Provenance.from_odh_repr(raw_data), period=raw_data.get("mperiod"), - transaction_time=dateutil.parser.parse(raw_data["mtransactiontime"]) if raw_data.get("mtransactiontime") else None, + transaction_time=dateutil.parser.parse(raw_data["mtransactiontime"]) if raw_data.get( + "mtransactiontime") else None, valid_time=dateutil.parser.parse(raw_data["mvalidtime"]), value=raw_data["mvalue"], ) @@ -99,6 +103,9 @@ def is_average_speed_measure(self) -> bool: ] +TrafficMeasureType = TypeVar("TrafficMeasureType", bound=TrafficMeasure) + + @dataclass class TrafficEntry: station: TrafficSensorStation @@ -139,11 +146,13 @@ def _build_traffic_entries_dictionary(self) -> Dict[str, Dict[datetime, Dict[Veh if measure.is_vehicle_counting_measure: if entry.nr_of_vehicles is not None: - raise ValueError(f"Duplicated measure for type [{measure.data_type.name}] on station [{measure.station.code} for date [{measure.valid_time}]") + raise ValueError( + f"Duplicated measure for type [{measure.data_type.name}] on station [{measure.station.code} for date [{measure.valid_time}]") entry.nr_of_vehicles = measure.value elif measure.is_average_speed_measure: if entry.average_speed is not None: - raise ValueError(f"Duplicated measure for type [{measure.data_type.name}] on station [{measure.station.code} for date [{measure.valid_time}]") + raise ValueError( + f"Duplicated measure for type [{measure.data_type.name}] on station [{measure.station.code} for date [{measure.valid_time}]") entry.average_speed = measure.value return result diff --git a/pollution_v2/src/common/data_model/validation.py b/pollution_v2/src/common/data_model/validation.py index 08f5b935..05426f4b 100644 --- a/pollution_v2/src/common/data_model/validation.py +++ b/pollution_v2/src/common/data_model/validation.py @@ -10,23 +10,22 @@ from typing import Optional, List, Dict from common.data_model.common import VehicleClass, MeasureCollection, Measure, Provenance, DataType +from common.data_model.entry import GenericEntry from common.data_model.traffic import TrafficSensorStation class ValidationTypeClass(Enum): - # single enum class to prevent further types additions VALID = "VALID" @dataclass -class ValidationEntry: - station: TrafficSensorStation - valid_time: datetime - vehicle_class: VehicleClass - validation_class: ValidationTypeClass - validation_value: Optional[float] - period: Optional[int] +class ValidationEntry(GenericEntry): + + def __init__(self, station: TrafficSensorStation, valid_time: datetime, vehicle_class: VehicleClass, + entry_class: ValidationTypeClass, entry_value: Optional[float], period: Optional[int]): + super().__init__(station, valid_time, vehicle_class, entry_value, period) + self.entry_class = entry_class class ValidationMeasure(Measure): @@ -36,7 +35,9 @@ def get_data_types() -> List[DataType]: data_types = [] for vehicle in VehicleClass: for validation_type in ValidationTypeClass: - data_types.append(DataType(f"{vehicle.name}-{validation_type.name}", f"{vehicle.value} is {validation_type.name}", "Validation", "-", {})) + data_types.append( + DataType(f"{vehicle.name}-{validation_type.name}", f"{vehicle.value} is {validation_type.name}", + "Validation", "-", {})) return data_types @@ -44,7 +45,8 @@ def get_data_types() -> List[DataType]: class ValidationMeasureCollection(MeasureCollection[ValidationMeasure, TrafficSensorStation]): @staticmethod - def build_from_validation_entries(validation_entries: List[ValidationEntry], provenance: Provenance) -> ValidationMeasureCollection: + def build_from_validation_entries(validation_entries: List[ValidationEntry], + provenance: Provenance) -> ValidationMeasureCollection: """ Build a ValidationMeasureCollection from the list of validation entries. @@ -52,12 +54,14 @@ def build_from_validation_entries(validation_entries: List[ValidationEntry], pro :param provenance: the provenance of the validation measures :return: a ValidationMeasureCollection object containing the validation measures generated from the validation entries """ - data_types_dict: Dict[str, DataType] = {data_type.name: data_type for data_type in ValidationMeasure.get_data_types()} + data_types_dict: Dict[str, DataType] = {data_type.name: data_type for data_type in + ValidationMeasure.get_data_types()} validation_measures: List[ValidationMeasure] = [] for validation_entry in validation_entries: validation_measures.append(ValidationMeasure( station=validation_entry.station, - data_type=data_types_dict[f"{validation_entry.vehicle_class.name}-{validation_entry.validation_class.name}"], + data_type=data_types_dict[ + f"{validation_entry.vehicle_class.name}-{validation_entry.validation_class.name}"], provenance=provenance, period=validation_entry.period, transaction_time=None, diff --git a/pollution_v2/src/common/manager/__init__.py b/pollution_v2/src/common/manager/__init__.py index e69de29b..672438d8 100644 --- a/pollution_v2/src/common/manager/__init__.py +++ b/pollution_v2/src/common/manager/__init__.py @@ -0,0 +1,4 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 5da2f93f..ce456e4e 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -7,42 +7,86 @@ import itertools import logging from abc import ABC, abstractmethod -from datetime import datetime -from typing import List, Optional +from datetime import datetime, timedelta +from typing import List, Optional, Generic +from common.cache.computation_checkpoint import ComputationCheckpointCache, ComputationCheckpoint from common.connector.collector import ConnectorCollector from common.connector.common import ODHBaseConnector from common.data_model import TrafficMeasureCollection, TrafficSensorStation, StationLatestMeasure, Measure -from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE -from pollution_connector.cache.computation_checkpoint import ComputationCheckpoint, ComputationCheckpointCache +from common.data_model.common import MeasureType, MeasureCollectionType, Provenance +from common.data_model.entry import GenericEntry, GenericEntryType +from common.model.model import GenericModel +from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE, ODH_COMPUTATION_BATCH_SIZE logger = logging.getLogger("common.manager.traffic_station") -class TrafficStationManager(ABC): +def _get_latest_date(connector: ODHBaseConnector, traffic_station: TrafficSensorStation) -> datetime: + """ + Compute the output data given the input data. - def __init__(self, connector_collector: ConnectorCollector, checkpoint_cache: Optional[ComputationCheckpointCache] = None): + :param connector: The connector to use to retrieve data. + :param traffic_station: The traffic station to work on. + :return: The output entries. + """ + measures = connector.get_latest_measures(station=traffic_station) + return max(list(map(lambda m: m.valid_time, measures)), default=ODH_MINIMUM_STARTING_DATE) + + +class TrafficStationManager(ABC, Generic[GenericEntryType, MeasureType, MeasureCollectionType]): + """ + Abstract manager for interactions on traffic stations + """ + + def __init__(self, connector_collector: ConnectorCollector, provenance: Provenance, + checkpoint_cache: Optional[ComputationCheckpointCache] = None): self._checkpoint_cache = checkpoint_cache self._connector_collector = connector_collector + self._provenance = provenance self._traffic_stations: List[TrafficSensorStation] = [] + self._create_data_types = True + + @abstractmethod + def _get_model(self) -> GenericModel: + pass + + @abstractmethod + def _get_main_collector(self) -> ODHBaseConnector: + pass - def _get_latest_date(self, connector: ODHBaseConnector, traffic_station: TrafficSensorStation) -> datetime: - measures = connector.get_latest_measures(station=traffic_station) - return max(list(map(lambda m: m.valid_time, measures)), default=ODH_MINIMUM_STARTING_DATE) + @abstractmethod + def _get_latest_date_collector(self) -> ODHBaseConnector: + pass - def _get_starting_date(self, connector: ODHBaseConnector, traffic_station: TrafficSensorStation, min_from_date: datetime) -> datetime: + def _compute_data(self, input_data: TrafficMeasureCollection) -> List[GenericEntry]: + """ + Compute the output data given the input data. + + :param input_data: The input data. + :return: The output entries. + """ + model = self._get_model() + return model.compute_data(input_data) + + def _get_starting_date(self, connector: ODHBaseConnector, traffic_station: TrafficSensorStation, + min_from_date: datetime) -> datetime: latest_measure = self._get_latest_measure_by_connector(connector, traffic_station) if latest_measure is None: logger.info(f"No measures available for station [{traffic_station.code}]") if self._checkpoint_cache is not None: checkpoint = self._checkpoint_cache.get(ComputationCheckpoint.get_id_for_station(traffic_station)) if checkpoint is not None: - logger.info(f"Using checkpoint date [{checkpoint.checkpoint_dt.isoformat()}] as starting date for station [{traffic_station.code}]") + logger.info(f"Using checkpoint date [{checkpoint.checkpoint_dt.isoformat()}] " + f"as starting date for station [{traffic_station.code}]") from_date = checkpoint.checkpoint_dt else: - from_date = min_from_date # If there isn't any latest measure available, the min_from_date is used as starting date for the batch + # If there isn't any latest measure available, + # the min_from_date is used as starting date for the batch + from_date = min_from_date else: - from_date = min_from_date # If there isn't any latest measure available, the min_from_date is used as starting date for the batch + # If there isn't any latest measure available, the min_from_date is used as starting date for the batch + from_date = min_from_date else: from_date = latest_measure.valid_time @@ -61,7 +105,8 @@ def _get_starting_date(self, connector: ODHBaseConnector, traffic_station: Traff return from_date - def _get_latest_measure_by_connector(self, connector: ODHBaseConnector, traffic_station: TrafficSensorStation) -> Optional[Measure]: + def _get_latest_measure_by_connector(self, connector: ODHBaseConnector, + traffic_station: TrafficSensorStation) -> Optional[Measure]: """ Retrieve the latest measure for a given station. It will be the oldest one among all the measure types even though should be the same for all the types. @@ -76,6 +121,11 @@ def _get_latest_measure_by_connector(self, connector: ODHBaseConnector, traffic_ return latest_measures[0] def get_traffic_stations_from_cache(self) -> List[TrafficSensorStation]: + """ + Returns a list of stations from cache. + + :return: List of stations from cache. + """ if len(self._traffic_stations) == 0: logger.info("Retrieving station list from ODH") self._traffic_stations = self._get_station_list() @@ -116,9 +166,121 @@ def _download_traffic_data(self, """ Download traffic data measures in the given interval. - :param from_date: Traffic measures before this date are discarded if there isn't any latest pollution measure available. + :param from_date: Traffic measures before this date are discarded if there isn't any latest measure available. :param to_date: Traffic measure after this date are discarded. :return: The resulting TrafficMeasureCollection containing the traffic data. """ - return TrafficMeasureCollection(measures=self._connector_collector.traffic.get_measures(from_date=from_date, to_date=to_date, station=traffic_station)) + return TrafficMeasureCollection(measures=self._connector_collector.traffic.get_measures(from_date=from_date, + to_date=to_date, + station=traffic_station)) + + def _upload_data(self, input_entries: List[GenericEntry]) -> None: + """ + Upload the input data on ODH. + If a data is already present it will be not overridden and + data before the last measures are not accepted by the ODH + + :param input_entries: The input entries. + """ + + print(f"posting provenance {self._provenance}") + if not self._provenance.provenance_id: + self._provenance.provenance_id = self._get_main_collector().post_provenance(self._provenance) + + print(f"posting data types {MeasureType.get_data_types()}") + if self._create_data_types: + self._get_main_collector().post_data_types(MeasureType.get_data_types(), self._provenance) + + data = MeasureCollectionType.build_from_pollution_entries(input_entries, self._provenance) + print(f"posting measures {len(data.measures)}") + self._get_main_collector().post_measures(data.measures) + + def run_computation_for_station(self, + traffic_station: TrafficSensorStation, + min_from_date: datetime, + max_to_date: datetime) -> None: + """ + Runs the requested computation for the given station. + + :param traffic_station: Traffic station working on. + :param min_from_date: Starting date for interval. + :param max_to_date: Ending date for interval. + """ + start_date = self._get_starting_date(self._get_main_collector(), traffic_station, min_from_date) + + # Detect inactive stations: + # If we're about to request more than one window of measurements, do a check first if there even is any new data + if (max_to_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: + latest_measurement_date = _get_latest_date(self._get_latest_date_collector(), traffic_station) + # traffic data request range end is the latest measurement + # For inactive stations, this latest measurement date will be < start_date, + # thus no further requests will be made. In general, it makes no sense to ask for data beyond + # the latest measurement, if we already know which date that is. + logger.info(f"Station [{traffic_station.code}] has a large elaboration range. " + f"Latest measurement date: {latest_measurement_date}") + max_to_date = min(max_to_date, latest_measurement_date) + + to_date = start_date + + if start_date < max_to_date: + to_date = to_date + timedelta(days=ODH_COMPUTATION_BATCH_SIZE) + if to_date > max_to_date: + to_date = max_to_date + + logger.info(f"Computing data for station [{traffic_station}] in interval " + f"[{start_date.isoformat()} - {to_date.isoformat()}]") + + traffic_data = [] + try: + traffic_data = self._download_traffic_data(start_date, to_date, traffic_station) + except Exception as e: + logger.exception( + f"Unable to download traffic data for station [{traffic_station}] " + f"in the interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", + exc_info=e) + + if traffic_data: + try: + computed_entries = self._compute_data(traffic_data) + self._upload_data(computed_entries) + except Exception as e: + logger.exception(f"Unable to compute data from station [{traffic_station}] in the interval " + f"[{start_date.isoformat()}] - [{to_date.isoformat()}]", exc_info=e) + + if self._checkpoint_cache is not None: + self._checkpoint_cache.set( + ComputationCheckpoint( + station_code=traffic_station.code, + checkpoint_dt=to_date + ) + ) + + # TODO togliere, probabile retaggio da quando si aveva il while + start_date = to_date + + def run_computation_and_upload_results(self, + min_from_date: datetime, + max_to_date: datetime + ) -> None: + """ + Start the computation of a batch of data measures. As starting date for the batch is used the latest + measure available on the ODH, if no measures are available min_from_date is used. + + :param min_from_date: Traffic measures before this date are discarded if no measures are available. + :param max_to_date: Traffic measure after this date are discarded. + """ + + if min_from_date.tzinfo is None: + min_from_date = DEFAULT_TIMEZONE.localize(min_from_date) + + if max_to_date.tzinfo is None: + max_to_date = DEFAULT_TIMEZONE.localize(max_to_date) + + computation_start_dt = datetime.now() + + for traffic_station in self.get_traffic_stations_from_cache(): + self.run_computation_for_station(traffic_station, min_from_date, max_to_date) + + computation_end_dt = datetime.now() + logger.info(f"Completed computation in [{(computation_end_dt - computation_start_dt).seconds}]") diff --git a/pollution_v2/src/common/model/__init__.py b/pollution_v2/src/common/model/__init__.py new file mode 100644 index 00000000..672438d8 --- /dev/null +++ b/pollution_v2/src/common/model/__init__.py @@ -0,0 +1,4 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + diff --git a/pollution_v2/src/common/model/model.py b/pollution_v2/src/common/model/model.py new file mode 100644 index 00000000..f6690bb8 --- /dev/null +++ b/pollution_v2/src/common/model/model.py @@ -0,0 +1,16 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later +from abc import ABC, abstractmethod +from typing import Generic, List + +from common.data_model import MeasureCollection +from common.data_model.common import MeasureCollectionType +from common.data_model.entry import GenericEntry + + +class GenericModel(ABC, Generic[MeasureCollectionType]): + + @abstractmethod + def compute_data(self, traffic_measure_collection: MeasureCollection) -> List[GenericEntry]: + pass diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index c8ad9687..169eac3a 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -10,7 +10,7 @@ from redis.client import Redis from dags.common import TrafficStationsDAG -from pollution_connector.cache.computation_checkpoint import ComputationCheckpointCache +from common.cache.computation_checkpoint import ComputationCheckpointCache from common.connector.collector import ConnectorCollector from common.data_model.common import Provenance, StationLatestMeasure from common.data_model import TrafficSensorStation diff --git a/pollution_v2/src/main_pollution_connector.py b/pollution_v2/src/main_pollution_connector.py index d17ac711..229eba6c 100644 --- a/pollution_v2/src/main_pollution_connector.py +++ b/pollution_v2/src/main_pollution_connector.py @@ -10,6 +10,7 @@ import dateutil.parser import sentry_sdk +from common.cache.computation_checkpoint import ComputationCheckpointCache from common.logging import get_logging_configuration import logging @@ -18,7 +19,6 @@ from redis.client import Redis -from pollution_connector.cache.computation_checkpoint import ComputationCheckpointCache from common.connector.collector import ConnectorCollector from common.data_model.common import Provenance from common.settings import DEFAULT_TIMEZONE, ODH_MINIMUM_STARTING_DATE, PROVENANCE_ID, PROVENANCE_LINEAGE, \ @@ -35,9 +35,7 @@ ) -def compute_pollution_data(min_from_date: Optional[datetime] = None, - max_to_date: Optional[datetime] = None - ) -> None: +def compute_data(min_from_date: Optional[datetime] = None, max_to_date: Optional[datetime] = None) -> None: """ Start the computation of a batch of pollution data measures. As starting date for the batch is used the latest pollution measure available on the ODH, if no pollution measures are available min_from_date is used. @@ -94,10 +92,10 @@ def compute_pollution_data(min_from_date: Optional[datetime] = None, else: to_date = None - compute_pollution_data(min_from_date=from_date, max_to_date=to_date) + compute_data(min_from_date=from_date, max_to_date=to_date) '''if args.run_async: - task: AsyncResult = compute_pollution_data.delay(min_from_date=from_date, max_to_date=to_date) + task: AsyncResult = compute_data.delay(min_from_date=from_date, max_to_date=to_date) logger.info(f"Scheduled async pollution computation. Task ID: [{task.task_id}]") else: logger.info("Staring pollution computation") - compute_pollution_data(min_from_date=from_date, max_to_date=to_date)''' + compute_data(min_from_date=from_date, max_to_date=to_date)''' diff --git a/pollution_v2/src/pollution_connector/manager/pollution_computation.py b/pollution_v2/src/pollution_connector/manager/pollution_computation.py index e2d72edf..9f55a465 100644 --- a/pollution_v2/src/pollution_connector/manager/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/manager/pollution_computation.py @@ -5,131 +5,22 @@ from __future__ import absolute_import, annotations import logging -from datetime import datetime, timedelta -from typing import Optional, List +from common.connector.common import ODHBaseConnector from common.manager.traffic_station import TrafficStationManager -from pollution_connector.cache.computation_checkpoint import ComputationCheckpointCache, ComputationCheckpoint -from common.connector.collector import ConnectorCollector -from common.data_model.common import Provenance from common.data_model.pollution import PollutionMeasure, PollutionMeasureCollection, PollutionEntry -from common.data_model import TrafficMeasureCollection, TrafficSensorStation from pollution_connector.model.pollution_computation_model import PollutionComputationModel -from common.settings import DEFAULT_TIMEZONE, ODH_COMPUTATION_BATCH_SIZE logger = logging.getLogger("pollution_connector.manager.pollution_computation") -class PollutionComputationManager(TrafficStationManager): +class PollutionComputationManager(TrafficStationManager[PollutionEntry, PollutionMeasure, PollutionMeasureCollection]): - def __init__(self, connector_collector: ConnectorCollector, provenance: Provenance, checkpoint_cache: Optional[ComputationCheckpointCache] = None): - super().__init__(connector_collector, checkpoint_cache) - self._provenance = provenance - self._create_data_types = True + def _get_model(self) -> PollutionComputationModel: + return PollutionComputationModel() - @staticmethod - def _compute_pollution_data(traffic_data: TrafficMeasureCollection) -> List[PollutionEntry]: - """ - Compute the pollution data given the traffic data. + def _get_main_collector(self) -> ODHBaseConnector: + return self._connector_collector.pollution - :param traffic_data: The traffic data. - :return: The pollution entries. - """ - model = PollutionComputationModel() - return model.compute_pollution_data(traffic_data) - - def _upload_pollution_data(self, pollution_entries: List[PollutionEntry]) -> None: # If a data is already present it will be not overridden and data before the last measures are not accepted by the ODH - """ - Upload the pollution data on ODH. - - :param pollution_entries: The pollution entries. - """ - - print(f"posting provenance {self._provenance}") - if not self._provenance.provenance_id: - self._provenance.provenance_id = self._connector_collector.pollution.post_provenance(self._provenance) - - print(f"posting data types {PollutionMeasure.get_pollution_data_types()}") - if self._create_data_types: - self._connector_collector.pollution.post_data_types(PollutionMeasure.get_pollution_data_types(), self._provenance) - - pollution_data = PollutionMeasureCollection.build_from_pollution_entries(pollution_entries, self._provenance) - print(f"posting measures {len(pollution_data.measures)}") - self._connector_collector.pollution.post_measures(pollution_data.measures) - - def run_computation_for_station(self, - traffic_station: TrafficSensorStation, - min_from_date: datetime, - max_to_date: datetime): - - start_date = self._get_starting_date(self._connector_collector.pollution, traffic_station, min_from_date) - - # Detect inactive stations: - # If we're about to request more than one window of measurements, do a check first if there even is any new data - if (max_to_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: - latest_measurement_date = self._get_latest_date(self._connector_collector.validation, traffic_station) - # traffic data request range end is the latest measurement - # For inactive stations, this latest measurement date will be < start_date, thus no further requests will be made - # In general, it makes no sense to ask for data beyond the latest measurement, if we already know which date that is. - logger.info(f"Station [{traffic_station.code}] has a large elaboration range. Latest measurement date: {latest_measurement_date}") - max_to_date = min(max_to_date, latest_measurement_date) - - to_date = start_date - - if start_date < max_to_date: - to_date = to_date + timedelta(days=ODH_COMPUTATION_BATCH_SIZE) - if to_date > max_to_date: - to_date = max_to_date - - logger.info(f"Computing pollution data for station [{traffic_station}] in interval [{start_date.isoformat()} - {to_date.isoformat()}]") - - traffic_data = [] - try: - traffic_data = self._download_traffic_data(start_date, to_date, traffic_station) - except Exception as e: - logger.exception( - f"Unable to download traffic data for station [{traffic_station}] in the interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", - exc_info=e) - - if traffic_data: - try: - pollution_entries = self._compute_pollution_data(traffic_data) - self._upload_pollution_data(pollution_entries) - except Exception as e: - logger.exception(f"Unable to compute data from station [{traffic_station}] in the interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", exc_info=e) - - if self._checkpoint_cache is not None: - self._checkpoint_cache.set( - ComputationCheckpoint( - station_code=traffic_station.code, - checkpoint_dt=to_date - ) - ) - - start_date = to_date - - def run_computation_and_upload_results(self, - min_from_date: datetime, - max_to_date: datetime - ) -> None: - """ - Start the computation of a batch of pollution data measures. As starting date for the batch is used the latest - pollution measure available on the ODH, if no pollution measures are available min_from_date is used. - - :param min_from_date: Traffic measures before this date are discarded if no pollution measures are available. - :param max_to_date: Traffic measure after this date are discarded. - """ - - if min_from_date.tzinfo is None: - min_from_date = DEFAULT_TIMEZONE.localize(min_from_date) - - if max_to_date.tzinfo is None: - max_to_date = DEFAULT_TIMEZONE.localize(max_to_date) - - computation_start_dt = datetime.now() - - for traffic_station in self.get_traffic_stations_from_cache(): - self.run_computation_for_station(traffic_station, min_from_date, max_to_date) - - computation_end_dt = datetime.now() - logger.info(f"Completed computation in [{(computation_end_dt - computation_start_dt).seconds}]") + def _get_latest_date_collector(self) -> ODHBaseConnector: + return self._connector_collector.validation diff --git a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py index 90019569..9772a10c 100644 --- a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py +++ b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py @@ -14,12 +14,13 @@ from common.data_model.common import VehicleClass from common.data_model.pollution import PollutionEntry, PollutantClass from common.data_model import TrafficMeasureCollection, TrafficEntry, TrafficSensorStation +from common.model.model import GenericModel from pollution_connector.model.CopertEmissions import copert_emissions logger = logging.getLogger("pollution_connector.model.pollution_computation_model") -class PollutionComputationModel: +class PollutionComputationModel(GenericModel): def __init__(self): pass @@ -79,13 +80,13 @@ def _get_pollution_entries_from_df(pollution_df: pd.DataFrame, stations_dict: Di station=stations_dict[f"{row['Location']}:{row['Station']}:{row['Lane']}"], valid_time=datetime.datetime.fromisoformat(f"{row['date']}T{row['time']}"), vehicle_class=VehicleClass(row["Category"]), - pollutant_class=PollutantClass(row["Pollutant"]), - pollutant_value=row["E"], + entry_class=PollutantClass(row["Pollutant"]), + entry_value=row["E"], period=row["Period"] )) return pollution_entries - def compute_pollution_data(self, traffic_measure_collection: TrafficMeasureCollection) -> List[PollutionEntry]: + def compute_data(self, traffic_measure_collection: TrafficMeasureCollection) -> List[PollutionEntry]: """ Compute the pollution measure given the available traffic measures :param traffic_measure_collection: A collection which contain all the available traffic measures diff --git a/pollution_v2/src/tests/test_pollution_computation.py b/pollution_v2/src/tests/test_pollution_computation.py index 2bf58cc6..6fa048dc 100644 --- a/pollution_v2/src/tests/test_pollution_computation.py +++ b/pollution_v2/src/tests/test_pollution_computation.py @@ -25,8 +25,8 @@ def setUp(self): self.latest_date = DEFAULT_TIMEZONE.localize(datetime(2024, 1, 30)) @patch("dags.common.TrafficStationsDAG.init_date_range") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_pollution_data") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_pollution_data") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_data") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_data") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_starting_date") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_latest_date") @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") @@ -66,8 +66,8 @@ def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, upload_mock.assert_called_once() @patch("dags.common.TrafficStationsDAG.init_date_range") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_pollution_data") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_pollution_data") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_data") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_data") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_starting_date") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_latest_date") @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") @@ -116,8 +116,8 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d upload_mock.assert_called_once() @patch("dags.common.TrafficStationsDAG.init_date_range") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_pollution_data") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_pollution_data") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_data") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_data") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_starting_date") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_latest_date") @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") diff --git a/pollution_v2/src/validator/manager/validation.py b/pollution_v2/src/validator/manager/validation.py new file mode 100644 index 00000000..94a34c29 --- /dev/null +++ b/pollution_v2/src/validator/manager/validation.py @@ -0,0 +1,26 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +import logging + +from common.connector.common import ODHBaseConnector +from common.data_model.validation import ValidationEntry, ValidationMeasure, ValidationMeasureCollection +from common.manager.traffic_station import TrafficStationManager +from validator.model.validatation_model import ValidationModel + +logger = logging.getLogger("validator.manager.validation_computation") + + +class ValidationManager(TrafficStationManager[ValidationEntry, ValidationMeasure, ValidationMeasureCollection]): + + def _get_model(self) -> ValidationModel: + return ValidationModel() + + def _get_main_collector(self) -> ODHBaseConnector: + return self._connector_collector.validation + + def _get_latest_date_collector(self) -> ODHBaseConnector: + return self._connector_collector.traffic diff --git a/pollution_v2/src/validator/manager/validation_computation.py b/pollution_v2/src/validator/manager/validation_computation.py new file mode 100644 index 00000000..3d60fa75 --- /dev/null +++ b/pollution_v2/src/validator/manager/validation_computation.py @@ -0,0 +1,26 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +import logging + +from common.connector.common import ODHBaseConnector +from common.manager.traffic_station import TrafficStationManager +# TODO move cache to common +from validator.model.validatation_model import ValidationModel + +logger = logging.getLogger("validator.manager.validation_computation") + + +class ValidationComputationManager(TrafficStationManager): + + def _get_model(self) -> ValidationModel: + return ValidationModel() + + def _get_main_collector(self) -> ODHBaseConnector: + return self._connector_collector.validation + + def _get_latest_date_collector(self) -> ODHBaseConnector: + return self._connector_collector.traffic diff --git a/pollution_v2/src/validator/model/validatation_model.py b/pollution_v2/src/validator/model/validatation_model.py new file mode 100644 index 00000000..73e7776e --- /dev/null +++ b/pollution_v2/src/validator/model/validatation_model.py @@ -0,0 +1,36 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +import datetime +import json +import logging +from typing import List, Iterable, Dict + +import pandas as pd + +from common.data_model.common import VehicleClass +from common.data_model.pollution import PollutionEntry, PollutantClass +from common.data_model import TrafficMeasureCollection, TrafficEntry, TrafficSensorStation +from common.data_model.validation import ValidationEntry +from common.model.model import GenericModel +from pollution_connector.model.CopertEmissions import copert_emissions + +logger = logging.getLogger("validator.model.validation_model") + + +class ValidationModel(GenericModel): + + def __init__(self): + pass + + def compute_data(self, traffic_measure_collection: TrafficMeasureCollection) -> List[ValidationEntry]: + """ + Compute the validation given the available traffic measures + :param traffic_measure_collection: A collection which contain all the available traffic measures + :return: A list of the new computed validation measures + """ + logger.warning("missing implementation!") + return [] From 1f62d4b511243b8eedb2066417b1067da71a0295 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 11 Mar 2024 14:04:11 +0100 Subject: [PATCH 032/154] pollution_v2: todo removed -wip - issue #23 --- pollution_v2/src/common/manager/traffic_station.py | 3 --- pollution_v2/src/validator/manager/validation_computation.py | 1 - 2 files changed, 4 deletions(-) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index ce456e4e..ccf7138a 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -256,9 +256,6 @@ def run_computation_for_station(self, ) ) - # TODO togliere, probabile retaggio da quando si aveva il while - start_date = to_date - def run_computation_and_upload_results(self, min_from_date: datetime, max_to_date: datetime diff --git a/pollution_v2/src/validator/manager/validation_computation.py b/pollution_v2/src/validator/manager/validation_computation.py index 3d60fa75..bc261aaa 100644 --- a/pollution_v2/src/validator/manager/validation_computation.py +++ b/pollution_v2/src/validator/manager/validation_computation.py @@ -8,7 +8,6 @@ from common.connector.common import ODHBaseConnector from common.manager.traffic_station import TrafficStationManager -# TODO move cache to common from validator.model.validatation_model import ValidationModel logger = logging.getLogger("validator.manager.validation_computation") From c22783a62a66e8144b5eae010e43ebf53701e515 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 11 Mar 2024 16:24:27 +0100 Subject: [PATCH 033/154] pollution_v2: useless module -wip - issue #23 --- .../manager/validation_computation.py | 25 ------------------- 1 file changed, 25 deletions(-) delete mode 100644 pollution_v2/src/validator/manager/validation_computation.py diff --git a/pollution_v2/src/validator/manager/validation_computation.py b/pollution_v2/src/validator/manager/validation_computation.py deleted file mode 100644 index bc261aaa..00000000 --- a/pollution_v2/src/validator/manager/validation_computation.py +++ /dev/null @@ -1,25 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -import logging - -from common.connector.common import ODHBaseConnector -from common.manager.traffic_station import TrafficStationManager -from validator.model.validatation_model import ValidationModel - -logger = logging.getLogger("validator.manager.validation_computation") - - -class ValidationComputationManager(TrafficStationManager): - - def _get_model(self) -> ValidationModel: - return ValidationModel() - - def _get_main_collector(self) -> ODHBaseConnector: - return self._connector_collector.validation - - def _get_latest_date_collector(self) -> ODHBaseConnector: - return self._connector_collector.traffic From fde2dbfb7b5d614d30c51ec9ee7d1a654e789c32 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 11 Mar 2024 16:28:56 +0100 Subject: [PATCH 034/154] pollution_v2: more adjustments -wip - issue #23 --- .../src/common/manager/traffic_station.py | 27 ++++++++++++------- pollution_v2/src/common/model/model.py | 2 +- .../src/dags/aiaas_pollution_computer.py | 2 +- pollution_v2/src/dags/aiaas_validator.py | 2 +- pollution_v2/src/dags/common.py | 6 +++-- .../manager/pollution_computation.py | 11 +++++++- .../src/validator/manager/validation.py | 12 +++++++-- 7 files changed, 45 insertions(+), 17 deletions(-) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index ccf7138a..07783c42 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -14,8 +14,8 @@ from common.connector.collector import ConnectorCollector from common.connector.common import ODHBaseConnector from common.data_model import TrafficMeasureCollection, TrafficSensorStation, StationLatestMeasure, Measure -from common.data_model.common import MeasureType, MeasureCollectionType, Provenance -from common.data_model.entry import GenericEntry, GenericEntryType +from common.data_model.common import Provenance, DataType +from common.data_model.entry import GenericEntry from common.model.model import GenericModel from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE, ODH_COMPUTATION_BATCH_SIZE @@ -34,7 +34,7 @@ def _get_latest_date(connector: ODHBaseConnector, traffic_station: TrafficSensor return max(list(map(lambda m: m.valid_time, measures)), default=ODH_MINIMUM_STARTING_DATE) -class TrafficStationManager(ABC, Generic[GenericEntryType, MeasureType, MeasureCollectionType]): +class TrafficStationManager(ABC): """ Abstract manager for interactions on traffic stations """ @@ -59,6 +59,14 @@ def _get_main_collector(self) -> ODHBaseConnector: def _get_latest_date_collector(self) -> ODHBaseConnector: pass + @abstractmethod + def _get_data_types(self) -> List[DataType]: + pass + + @abstractmethod + def _build_from_entries(self, input_entries: List[GenericEntry]): + pass + def _compute_data(self, input_data: TrafficMeasureCollection) -> List[GenericEntry]: """ Compute the output data given the input data. @@ -137,7 +145,7 @@ def get_all_latest_measures(self) -> List[StationLatestMeasure]: :return: List of stations with its latest measure date. """ - all_measures = self._connector_collector.traffic.get_latest_measures() + all_measures = self._get_main_collector().get_latest_measures() grouped = {} for station_code, values in itertools.groupby(all_measures, lambda m: m.station.code): @@ -147,6 +155,7 @@ def get_all_latest_measures(self) -> List[StationLatestMeasure]: res = [] for key, value in grouped.items(): + logger.debug(f"Latest date for {key} is {max(list(map(lambda m: m.valid_time, value)), default=ODH_MINIMUM_STARTING_DATE)}") res.append(StationLatestMeasure(key, max(list(map(lambda m: m.valid_time, value)), default=ODH_MINIMUM_STARTING_DATE))) @@ -184,16 +193,16 @@ def _upload_data(self, input_entries: List[GenericEntry]) -> None: :param input_entries: The input entries. """ - print(f"posting provenance {self._provenance}") + logger.debug(f"Posting provenance {self._provenance}") if not self._provenance.provenance_id: self._provenance.provenance_id = self._get_main_collector().post_provenance(self._provenance) - print(f"posting data types {MeasureType.get_data_types()}") + logger.debug(f"Posting data types {self._get_data_types()}") if self._create_data_types: - self._get_main_collector().post_data_types(MeasureType.get_data_types(), self._provenance) + self._get_main_collector().post_data_types(self._get_data_types(), self._provenance) - data = MeasureCollectionType.build_from_pollution_entries(input_entries, self._provenance) - print(f"posting measures {len(data.measures)}") + data = self._build_from_entries(input_entries) + logger.debug(f"Posting measures {len(data.measures)}") self._get_main_collector().post_measures(data.measures) def run_computation_for_station(self, diff --git a/pollution_v2/src/common/model/model.py b/pollution_v2/src/common/model/model.py index f6690bb8..ea85b91b 100644 --- a/pollution_v2/src/common/model/model.py +++ b/pollution_v2/src/common/model/model.py @@ -9,7 +9,7 @@ from common.data_model.entry import GenericEntry -class GenericModel(ABC, Generic[MeasureCollectionType]): +class GenericModel(ABC): @abstractmethod def compute_data(self, traffic_measure_collection: MeasureCollection) -> List[GenericEntry]: diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index 169eac3a..40677328 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -114,7 +114,7 @@ def process_station(station_dict: dict, **kwargs): computation_start_dt = datetime.now() - logger.info(f"running computation from {min_from_date} to {max_to_date}") + logger.info(f"Running computation from {min_from_date} to {max_to_date}") manager.run_computation_for_station(station, min_from_date, max_to_date) computation_end_dt = datetime.now() diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py index 6616de45..69ce46de 100644 --- a/pollution_v2/src/dags/aiaas_validator.py +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -94,7 +94,7 @@ def process_station(station_dict: dict, **kwargs): computation_start_dt = datetime.now() - logger.info(f"running validation from {min_from_date} to {max_to_date}") + logger.info(f"Running validation from {min_from_date} to {max_to_date}") # TODO: implement validation diff --git a/pollution_v2/src/dags/common.py b/pollution_v2/src/dags/common.py index 6533fb03..f812273f 100644 --- a/pollution_v2/src/dags/common.py +++ b/pollution_v2/src/dags/common.py @@ -58,7 +58,7 @@ def get_stations_list(manager: TrafficStationManager, **kwargs): logger.info(f"{len(stations_from_prev_dag)} stations with unprocessed data from previous run, using them") traffic_stations = list(filter(lambda station: station.code in stations_from_prev_dag, traffic_stations)) - logger.info(f"found {len(traffic_stations)} traffic stations") + logger.info(f"Found {len(traffic_stations)} traffic stations") # Serialization and deserialization is dependent on speed. # Use built-in functions like dict as much as you can and stay away @@ -80,13 +80,15 @@ def trigger_next_dag_run(manager: TrafficStationManager, originator_dag: DAG, all_latest = manager.get_all_latest_measures() stations = [] for item in all_latest: + logger.debug(f"Check if {item.station_code} has more data...") if has_remaining_data(item): + logger.debug(f"Forwarding station {item.station_code} to next execution") stations.append(item.station_code) # True if on ODH there are lots of data to be processed (e.g. new station with old unprocessed data) run_again = len(stations) > 0 - logger.info(f"{'' if run_again else 'NOT '}starting another self-triggered run as {len(stations)} " + logger.info(f"{'S' if run_again else 'NOT s'}tarting another self-triggered run as {len(stations)} " f"stations have still unprocessed data") if run_again: diff --git a/pollution_v2/src/pollution_connector/manager/pollution_computation.py b/pollution_v2/src/pollution_connector/manager/pollution_computation.py index 9f55a465..680047dc 100644 --- a/pollution_v2/src/pollution_connector/manager/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/manager/pollution_computation.py @@ -5,8 +5,11 @@ from __future__ import absolute_import, annotations import logging +from typing import List from common.connector.common import ODHBaseConnector +from common.data_model import DataType +from common.data_model.entry import GenericEntry from common.manager.traffic_station import TrafficStationManager from common.data_model.pollution import PollutionMeasure, PollutionMeasureCollection, PollutionEntry from pollution_connector.model.pollution_computation_model import PollutionComputationModel @@ -14,7 +17,7 @@ logger = logging.getLogger("pollution_connector.manager.pollution_computation") -class PollutionComputationManager(TrafficStationManager[PollutionEntry, PollutionMeasure, PollutionMeasureCollection]): +class PollutionComputationManager(TrafficStationManager): def _get_model(self) -> PollutionComputationModel: return PollutionComputationModel() @@ -24,3 +27,9 @@ def _get_main_collector(self) -> ODHBaseConnector: def _get_latest_date_collector(self) -> ODHBaseConnector: return self._connector_collector.validation + + def _get_data_types(self) -> List[DataType]: + return PollutionMeasure.get_data_types() + + def _build_from_entries(self, input_entries: List[PollutionEntry]): + return PollutionMeasureCollection.build_from_pollution_entries(input_entries, self._provenance) diff --git a/pollution_v2/src/validator/manager/validation.py b/pollution_v2/src/validator/manager/validation.py index 94a34c29..10fc6f82 100644 --- a/pollution_v2/src/validator/manager/validation.py +++ b/pollution_v2/src/validator/manager/validation.py @@ -5,16 +5,18 @@ from __future__ import absolute_import, annotations import logging +from typing import List from common.connector.common import ODHBaseConnector +from common.data_model import DataType from common.data_model.validation import ValidationEntry, ValidationMeasure, ValidationMeasureCollection from common.manager.traffic_station import TrafficStationManager from validator.model.validatation_model import ValidationModel -logger = logging.getLogger("validator.manager.validation_computation") +logger = logging.getLogger("validator.manager.validation") -class ValidationManager(TrafficStationManager[ValidationEntry, ValidationMeasure, ValidationMeasureCollection]): +class ValidationManager(TrafficStationManager): def _get_model(self) -> ValidationModel: return ValidationModel() @@ -24,3 +26,9 @@ def _get_main_collector(self) -> ODHBaseConnector: def _get_latest_date_collector(self) -> ODHBaseConnector: return self._connector_collector.traffic + + def _get_data_types(self) -> List[DataType]: + return ValidationMeasure.get_data_types() + + def _build_from_entries(self, input_entries: List[ValidationEntry]): + return ValidationMeasureCollection.build_from_validation_entries(input_entries, self._provenance) From e7fadee9bd808c245938c81d1df96cbc12a47f8a Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 11 Mar 2024 18:07:24 +0100 Subject: [PATCH 035/154] pollution_v2: homogeneous loggers -wip - issue #23 --- pollution_v2/src/common/cache/common.py | 2 +- pollution_v2/src/common/connector/common.py | 2 +- pollution_v2/src/common/manager/traffic_station.py | 2 +- pollution_v2/src/dags/aiaas_pollution_computer.py | 2 +- pollution_v2/src/dags/aiaas_validator.py | 2 +- pollution_v2/src/dags/common.py | 2 +- pollution_v2/src/main_pollution_connector.py | 4 ++-- .../src/pollution_connector/manager/pollution_computation.py | 2 +- .../pollution_connector/model/pollution_computation_model.py | 2 +- pollution_v2/src/validator/manager/validation.py | 2 +- pollution_v2/src/validator/model/validatation_model.py | 2 +- 11 files changed, 12 insertions(+), 12 deletions(-) diff --git a/pollution_v2/src/common/cache/common.py b/pollution_v2/src/common/cache/common.py index 2d47ecbd..01371d2f 100644 --- a/pollution_v2/src/common/cache/common.py +++ b/pollution_v2/src/common/cache/common.py @@ -12,7 +12,7 @@ import redis -logger = logging.getLogger("pollution_connector.cache.redis_cache") +logger = logging.getLogger("pollution_v2.common.cache.common") class CacheData(ABC): diff --git a/pollution_v2/src/common/connector/common.py b/pollution_v2/src/common/connector/common.py index 1399aa4f..67e75014 100644 --- a/pollution_v2/src/common/connector/common.py +++ b/pollution_v2/src/common/connector/common.py @@ -16,7 +16,7 @@ from common.data_model.common import MeasureType, StationType, Station, Provenance, DataType -logger = logging.getLogger("pollution_connector.connector.common") +logger = logging.getLogger("pollution_v2.common.connector.common") @dataclass diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 07783c42..07166f52 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -19,7 +19,7 @@ from common.model.model import GenericModel from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE, ODH_COMPUTATION_BATCH_SIZE -logger = logging.getLogger("common.manager.traffic_station") +logger = logging.getLogger("pollution_v2.common.manager.traffic_station") def _get_latest_date(connector: ODHBaseConnector, traffic_station: TrafficSensorStation) -> datetime: diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index 40677328..fd7733ae 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -22,7 +22,7 @@ # see https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dynamic-task-mapping.html -logger = logging.getLogger("dags.aiaas_pollution_computer") +logger = logging.getLogger("pollution_v2.dags.aiaas_pollution_computer") default_args = { 'owner': 'airflow', diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py index 69ce46de..274ea67e 100644 --- a/pollution_v2/src/dags/aiaas_validator.py +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -16,7 +16,7 @@ # see https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dynamic-task-mapping.html -logger = logging.getLogger("dags.aiaas_validator") +logger = logging.getLogger("pollution_v2.dags.aiaas_validator") default_args = { 'owner': 'airflow', diff --git a/pollution_v2/src/dags/common.py b/pollution_v2/src/dags/common.py index f812273f..6953dfe5 100644 --- a/pollution_v2/src/dags/common.py +++ b/pollution_v2/src/dags/common.py @@ -12,7 +12,7 @@ from common.manager.traffic_station import TrafficStationManager from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE -logger = logging.getLogger("dags.common") +logger = logging.getLogger("pollution_v2.dags.common") class TrafficStationsDAG(DAG): diff --git a/pollution_v2/src/main_pollution_connector.py b/pollution_v2/src/main_pollution_connector.py index 229eba6c..57abadab 100644 --- a/pollution_v2/src/main_pollution_connector.py +++ b/pollution_v2/src/main_pollution_connector.py @@ -26,8 +26,8 @@ COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_DB, SENTRY_SAMPLE_RATE from pollution_connector.manager.pollution_computation import PollutionComputationManager -logging.config.dictConfig(get_logging_configuration("main_pollution_connector")) -logger = logging.getLogger("main_pollution_connector") +# logging.config.dictConfig(get_logging_configuration("pollution_v2")) +logger = logging.getLogger("pollution_v2.main_pollution_connector") sentry_sdk.init( traces_sample_rate=SENTRY_SAMPLE_RATE, diff --git a/pollution_v2/src/pollution_connector/manager/pollution_computation.py b/pollution_v2/src/pollution_connector/manager/pollution_computation.py index 680047dc..f1d82278 100644 --- a/pollution_v2/src/pollution_connector/manager/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/manager/pollution_computation.py @@ -14,7 +14,7 @@ from common.data_model.pollution import PollutionMeasure, PollutionMeasureCollection, PollutionEntry from pollution_connector.model.pollution_computation_model import PollutionComputationModel -logger = logging.getLogger("pollution_connector.manager.pollution_computation") +logger = logging.getLogger("pollution_v2.pollution_connector.manager.pollution_computation") class PollutionComputationManager(TrafficStationManager): diff --git a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py index 9772a10c..9f912cea 100644 --- a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py +++ b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py @@ -17,7 +17,7 @@ from common.model.model import GenericModel from pollution_connector.model.CopertEmissions import copert_emissions -logger = logging.getLogger("pollution_connector.model.pollution_computation_model") +logger = logging.getLogger("pollution_v2.pollution_connector.model.pollution_computation_model") class PollutionComputationModel(GenericModel): diff --git a/pollution_v2/src/validator/manager/validation.py b/pollution_v2/src/validator/manager/validation.py index 10fc6f82..57fe5252 100644 --- a/pollution_v2/src/validator/manager/validation.py +++ b/pollution_v2/src/validator/manager/validation.py @@ -13,7 +13,7 @@ from common.manager.traffic_station import TrafficStationManager from validator.model.validatation_model import ValidationModel -logger = logging.getLogger("validator.manager.validation") +logger = logging.getLogger("pollution_v2.validator.manager.validation") class ValidationManager(TrafficStationManager): diff --git a/pollution_v2/src/validator/model/validatation_model.py b/pollution_v2/src/validator/model/validatation_model.py index 73e7776e..cde78c98 100644 --- a/pollution_v2/src/validator/model/validatation_model.py +++ b/pollution_v2/src/validator/model/validatation_model.py @@ -18,7 +18,7 @@ from common.model.model import GenericModel from pollution_connector.model.CopertEmissions import copert_emissions -logger = logging.getLogger("validator.model.validation_model") +logger = logging.getLogger("pollution_v2.validator.model.validation_model") class ValidationModel(GenericModel): From 7522810b9a6fb26f34d561fd0d4d4e3cf17191ba Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 11 Mar 2024 18:13:42 +0100 Subject: [PATCH 036/154] pollution_v2: more on refactoring adjustments -wip - issue #23 --- .../src/common/manager/traffic_station.py | 29 +++++++++++-------- pollution_v2/src/common/settings.py | 8 ++--- .../manager/pollution_computation.py | 5 ++-- .../src/validator/manager/validation.py | 4 +-- 4 files changed, 25 insertions(+), 21 deletions(-) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 07166f52..799a8f6a 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -52,11 +52,11 @@ def _get_model(self) -> GenericModel: pass @abstractmethod - def _get_main_collector(self) -> ODHBaseConnector: + def _get_data_collector(self) -> ODHBaseConnector: pass @abstractmethod - def _get_latest_date_collector(self) -> ODHBaseConnector: + def _get_date_reference_collector(self) -> ODHBaseConnector: pass @abstractmethod @@ -145,7 +145,7 @@ def get_all_latest_measures(self) -> List[StationLatestMeasure]: :return: List of stations with its latest measure date. """ - all_measures = self._get_main_collector().get_latest_measures() + all_measures = self._get_data_collector().get_latest_measures() grouped = {} for station_code, values in itertools.groupby(all_measures, lambda m: m.station.code): @@ -195,15 +195,15 @@ def _upload_data(self, input_entries: List[GenericEntry]) -> None: logger.debug(f"Posting provenance {self._provenance}") if not self._provenance.provenance_id: - self._provenance.provenance_id = self._get_main_collector().post_provenance(self._provenance) + self._provenance.provenance_id = self._get_data_collector().post_provenance(self._provenance) logger.debug(f"Posting data types {self._get_data_types()}") if self._create_data_types: - self._get_main_collector().post_data_types(self._get_data_types(), self._provenance) + self._get_data_collector().post_data_types(self._get_data_types(), self._provenance) data = self._build_from_entries(input_entries) logger.debug(f"Posting measures {len(data.measures)}") - self._get_main_collector().post_measures(data.measures) + self._get_data_collector().post_measures(data.measures) def run_computation_for_station(self, traffic_station: TrafficSensorStation, @@ -216,20 +216,22 @@ def run_computation_for_station(self, :param min_from_date: Starting date for interval. :param max_to_date: Ending date for interval. """ - start_date = self._get_starting_date(self._get_main_collector(), traffic_station, min_from_date) + start_date = self._get_starting_date(self._get_date_reference_collector(), traffic_station, min_from_date) # Detect inactive stations: # If we're about to request more than one window of measurements, do a check first if there even is any new data if (max_to_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: - latest_measurement_date = _get_latest_date(self._get_latest_date_collector(), traffic_station) + latest_measurement_date = _get_latest_date(self._get_date_reference_collector(), traffic_station) # traffic data request range end is the latest measurement # For inactive stations, this latest measurement date will be < start_date, # thus no further requests will be made. In general, it makes no sense to ask for data beyond # the latest measurement, if we already know which date that is. - logger.info(f"Station [{traffic_station.code}] has a large elaboration range. " - f"Latest measurement date: {latest_measurement_date}") max_to_date = min(max_to_date, latest_measurement_date) + if (max_to_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: + logger.info(f"Station [{traffic_station.code}] has a large elaboration range. " + f"Latest measurement date: {latest_measurement_date}") + to_date = start_date if start_date < max_to_date: @@ -254,8 +256,8 @@ def run_computation_for_station(self, computed_entries = self._compute_data(traffic_data) self._upload_data(computed_entries) except Exception as e: - logger.exception(f"Unable to compute data from station [{traffic_station}] in the interval " - f"[{start_date.isoformat()}] - [{to_date.isoformat()}]", exc_info=e) + logger.exception(f"Unable to compute data from station [{traffic_station.code}] in the " + f"interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", exc_info=e) if self._checkpoint_cache is not None: self._checkpoint_cache.set( @@ -264,6 +266,9 @@ def run_computation_for_station(self, checkpoint_dt=to_date ) ) + else: + logger.info(f"Nothing to process for station [{traffic_station.code}] in interval " + f"[{start_date.isoformat()} - {to_date.isoformat()}]") def run_computation_and_upload_results(self, min_from_date: datetime, diff --git a/pollution_v2/src/common/settings.py b/pollution_v2/src/common/settings.py index c43a2c9c..2fb0b2cd 100644 --- a/pollution_v2/src/common/settings.py +++ b/pollution_v2/src/common/settings.py @@ -20,6 +20,9 @@ LOG_LEVEL_LIBS = os.getenv("LOG_LEVEL_LIBS", "DEBUG") LOGS_DIR = os.getenv("LOGS_DIR", "") +# General +DEFAULT_TIMEZONE = pytz.timezone(os.getenv("DEFAULT_TIMEZONE", "Europe/Rome")) + # Open Data Hub ODH_BASE_READER_URL = Variable.get("ODH_BASE_READER_URL") ODH_BASE_WRITER_URL = Variable.get("ODH_BASE_WRITER_URL") @@ -32,14 +35,11 @@ ODH_PAGINATION_SIZE = int(Variable.get("ODH_PAGINATION_SIZE", 200)) ODH_MAX_POST_BATCH_SIZE = int(Variable.get("ODH_MAX_POST_BATCH_SIZE")) if Variable.get("ODH_MAX_POST_BATCH_SIZE") else None ODH_COMPUTATION_BATCH_SIZE = int(Variable.get("ODH_COMPUTATION_BATCH_SIZE", 30)) -ODH_MINIMUM_STARTING_DATE = dateutil.parser.parse(Variable.get("ODH_MINIMUM_STARTING_DATE", "2018-01-01")) +ODH_MINIMUM_STARTING_DATE = DEFAULT_TIMEZONE.localize(dateutil.parser.parse(Variable.get("ODH_MINIMUM_STARTING_DATE", "2018-01-01"))) DAG_POLLUTION_EXECUTION_CRONTAB = Variable.get("DAG_POLLUTION_EXECUTION_CRONTAB", "0 0 * * *") DAG_VALIDATION_EXECUTION_CRONTAB = Variable.get("DAG_VALIDATION_EXECUTION_CRONTAB", "0 0 * * *") DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN = int(Variable.get("DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN", 24)) -# General -DEFAULT_TIMEZONE = pytz.timezone(os.getenv("DEFAULT_TIMEZONE", "Europe/Rome")) - # Requests management REQUESTS_TIMEOUT = float(os.getenv("REQUESTS_TIMEOUT", 300)) REQUESTS_MAX_RETRIES = int(os.getenv("REQUESTS_MAX_RETRIES", 1)) diff --git a/pollution_v2/src/pollution_connector/manager/pollution_computation.py b/pollution_v2/src/pollution_connector/manager/pollution_computation.py index f1d82278..af089223 100644 --- a/pollution_v2/src/pollution_connector/manager/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/manager/pollution_computation.py @@ -9,7 +9,6 @@ from common.connector.common import ODHBaseConnector from common.data_model import DataType -from common.data_model.entry import GenericEntry from common.manager.traffic_station import TrafficStationManager from common.data_model.pollution import PollutionMeasure, PollutionMeasureCollection, PollutionEntry from pollution_connector.model.pollution_computation_model import PollutionComputationModel @@ -22,10 +21,10 @@ class PollutionComputationManager(TrafficStationManager): def _get_model(self) -> PollutionComputationModel: return PollutionComputationModel() - def _get_main_collector(self) -> ODHBaseConnector: + def _get_data_collector(self) -> ODHBaseConnector: return self._connector_collector.pollution - def _get_latest_date_collector(self) -> ODHBaseConnector: + def _get_date_reference_collector(self) -> ODHBaseConnector: return self._connector_collector.validation def _get_data_types(self) -> List[DataType]: diff --git a/pollution_v2/src/validator/manager/validation.py b/pollution_v2/src/validator/manager/validation.py index 57fe5252..e3492aed 100644 --- a/pollution_v2/src/validator/manager/validation.py +++ b/pollution_v2/src/validator/manager/validation.py @@ -21,10 +21,10 @@ class ValidationManager(TrafficStationManager): def _get_model(self) -> ValidationModel: return ValidationModel() - def _get_main_collector(self) -> ODHBaseConnector: + def _get_data_collector(self) -> ODHBaseConnector: return self._connector_collector.validation - def _get_latest_date_collector(self) -> ODHBaseConnector: + def _get_date_reference_collector(self) -> ODHBaseConnector: return self._connector_collector.traffic def _get_data_types(self) -> List[DataType]: From a2705dafd39599757344b7e14f382281a9a06166 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 11 Mar 2024 18:33:03 +0100 Subject: [PATCH 037/154] pollution_v2: working code after refactoring with pollution looking for validated data - issue #23 --- pollution_v2/src/common/manager/traffic_station.py | 4 ++-- pollution_v2/src/dags/aiaas_pollution_computer.py | 1 + .../src/pollution_connector/manager/pollution_computation.py | 3 +++ 3 files changed, 6 insertions(+), 2 deletions(-) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 799a8f6a..58260388 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -216,7 +216,7 @@ def run_computation_for_station(self, :param min_from_date: Starting date for interval. :param max_to_date: Ending date for interval. """ - start_date = self._get_starting_date(self._get_date_reference_collector(), traffic_station, min_from_date) + start_date = self._get_starting_date(self._get_data_collector(), traffic_station, min_from_date) # Detect inactive stations: # If we're about to request more than one window of measurements, do a check first if there even is any new data @@ -239,7 +239,7 @@ def run_computation_for_station(self, if to_date > max_to_date: to_date = max_to_date - logger.info(f"Computing data for station [{traffic_station}] in interval " + logger.info(f"Computing data for station [{traffic_station.code}] in interval " f"[{start_date.isoformat()} - {to_date.isoformat()}]") traffic_data = [] diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index fd7733ae..921d3d2c 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -131,6 +131,7 @@ def whats_next(already_processed_stations, **kwargs): manager = _init_manager() def has_remaining_data(measure: StationLatestMeasure) -> bool: + # TODO change now with last validated data now = datetime.now(tz=DEFAULT_TIMEZONE) date = measure.latest_time if date.tzinfo is None: diff --git a/pollution_v2/src/pollution_connector/manager/pollution_computation.py b/pollution_v2/src/pollution_connector/manager/pollution_computation.py index af089223..cd8a53f2 100644 --- a/pollution_v2/src/pollution_connector/manager/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/manager/pollution_computation.py @@ -25,6 +25,9 @@ def _get_data_collector(self) -> ODHBaseConnector: return self._connector_collector.pollution def _get_date_reference_collector(self) -> ODHBaseConnector: + # use this for old behaviour (pollution_v1, before validation) + # return self._connector_collector.traffic + # use this for new behaviour (pollution_v2, with validation) return self._connector_collector.validation def _get_data_types(self) -> List[DataType]: From 08f676fe4bf63709e492eeeb9caf9df5088f3598 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 13 Mar 2024 10:25:58 +0100 Subject: [PATCH 038/154] pollution-v2: fix docker volumes --- pollution_v2/infrastructure/docker-compose.run.yml | 1 + pollution_v2/infrastructure/docker/Dockerfile | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index 3d6a5f52..cd7b7d72 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -8,6 +8,7 @@ services: # temporarly disabled: permission denied volumes: - ${AIRFLOW_PROJ_DIR:-.}/airflow/logs:/opt/airflow/logs + - ${AIRFLOW_PROJ_DIR:-.}/src:/opt/airflow/dags # user: "${AIRFLOW_UID:-50000}:0" env_file: - .env diff --git a/pollution_v2/infrastructure/docker/Dockerfile b/pollution_v2/infrastructure/docker/Dockerfile index bd1daf7d..8ad4e04c 100644 --- a/pollution_v2/infrastructure/docker/Dockerfile +++ b/pollution_v2/infrastructure/docker/Dockerfile @@ -11,4 +11,4 @@ COPY requirements.txt . RUN pip install apache-airflow==${AIRFLOW_VERSION} -r requirements.txt # providers for writing logs on S3 RUN pip install apache-airflow-providers-amazon -ADD src/dags /opt/airflow/dags \ No newline at end of file +ADD src/ /opt/airflow/dags \ No newline at end of file From b05062395e95a7e29f2673f9d7cd3088365f34d2 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 13 Mar 2024 11:10:28 +0100 Subject: [PATCH 039/154] pollution-v2: use docker volume instead of mounting --- .github/workflows/ci-pollution-v2.yml | 2 +- pollution_v2/infrastructure/docker-compose.run.yml | 9 ++++----- 2 files changed, 5 insertions(+), 6 deletions(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 8cdd6797..62a1e5f8 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -51,7 +51,7 @@ jobs: X_PROVENANCE_NAME: ${{ env.PROJECT_NAME }} X_PROVENANCE_VERSION: ${{ github.sha }} - X_AIRFLOW_PROJ_DIR: /opt/pollution-v2/airflow + X_AIRFLOW_PROJ_DIR: /opt/pollution-v2 X_AIRFLOW_UID: 5000 X_AIRFLOW__CORE__EXECUTOR: CeleryExecutor X_AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index cd7b7d72..24d5529a 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -5,11 +5,9 @@ services: x-airflow-common: &airflow-common image: ${DOCKER_IMAGE}:${DOCKER_TAG} - # temporarly disabled: permission denied volumes: - - ${AIRFLOW_PROJ_DIR:-.}/airflow/logs:/opt/airflow/logs - - ${AIRFLOW_PROJ_DIR:-.}/src:/opt/airflow/dags - # user: "${AIRFLOW_UID:-50000}:0" + - pollution-logs:/opt/airflow/logs + user: "${AIRFLOW_UID:-50000}:0" env_file: - .env depends_on: @@ -217,4 +215,5 @@ services: condition: service_completed_successfully volumes: - postgres-db-volume: \ No newline at end of file + postgres-db-volume: + pollution-logs: \ No newline at end of file From f2fd99732972f5d8eec6b4ee8bf46b1ea3f0d4b4 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Wed, 13 Mar 2024 15:16:39 +0100 Subject: [PATCH 040/154] pollution_v2: cachecheckpoint differentiated by trafficmgrclass - issue #23 --- .../src/common/cache/computation_checkpoint.py | 16 ++++++++++------ .../src/common/manager/traffic_station.py | 14 +++++++++++++- .../manager/pollution_computation.py | 5 ++++- pollution_v2/src/validator/manager/validation.py | 5 ++++- 4 files changed, 31 insertions(+), 9 deletions(-) diff --git a/pollution_v2/src/common/cache/computation_checkpoint.py b/pollution_v2/src/common/cache/computation_checkpoint.py index 86ccb0eb..9c7c2bab 100644 --- a/pollution_v2/src/common/cache/computation_checkpoint.py +++ b/pollution_v2/src/common/cache/computation_checkpoint.py @@ -12,6 +12,7 @@ from common.cache.common import CacheData, RedisCache from common.data_model.common import Station +from common.manager.traffic_station import TrafficManagerClass @dataclass @@ -19,31 +20,34 @@ class ComputationCheckpoint(CacheData): station_code: str checkpoint_dt: datetime + manager: TrafficManagerClass @staticmethod - def get_id_for_station(station: Union[Station, str]) -> str: + def get_id_for_station(station: Union[Station, str], manager: TrafficManagerClass) -> str: base_key = "ComputationCheckpoint" if isinstance(station, str): - return f"{base_key}-{station}" + return f"{base_key}-{station}-{manager.name}" elif isinstance(station, Station): - return f"{base_key}-{station.code}" + return f"{base_key}-{station.code}-{manager.name}" else: raise TypeError(f"Unable to handle an object of type [{type(station)}]") def unique_id(self) -> str: - return self.get_id_for_station(self.station_code) + return self.get_id_for_station(self.station_code, self.manager) def to_repr(self) -> dict: return { "stationCode": self.station_code, - "checkpointDT": self.checkpoint_dt.isoformat() + "checkpointDT": self.checkpoint_dt.isoformat(), + "trafficManager": self.manager } @staticmethod def from_repr(raw_data: dict) -> CacheData: return ComputationCheckpoint( station_code=raw_data["stationCode"], - checkpoint_dt=datetime.fromisoformat(raw_data["checkpointDT"]) + checkpoint_dt=datetime.fromisoformat(raw_data["checkpointDT"]), + manager=raw_data["trafficManager"] ) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 58260388..91f63b26 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -8,6 +8,7 @@ import logging from abc import ABC, abstractmethod from datetime import datetime, timedelta +from enum import Enum from typing import List, Optional, Generic from common.cache.computation_checkpoint import ComputationCheckpointCache, ComputationCheckpoint @@ -22,6 +23,12 @@ logger = logging.getLogger("pollution_v2.common.manager.traffic_station") +class TrafficManagerClass(Enum): + + POLLUTION = "POLLUTION" + VALIDATION = "VALIDATION" + + def _get_latest_date(connector: ODHBaseConnector, traffic_station: TrafficSensorStation) -> datetime: """ Compute the output data given the input data. @@ -47,6 +54,10 @@ def __init__(self, connector_collector: ConnectorCollector, provenance: Provenan self._traffic_stations: List[TrafficSensorStation] = [] self._create_data_types = True + @abstractmethod + def _get_type(self) -> TrafficManagerClass: + pass + @abstractmethod def _get_model(self) -> GenericModel: pass @@ -83,7 +94,8 @@ def _get_starting_date(self, connector: ODHBaseConnector, traffic_station: Traff if latest_measure is None: logger.info(f"No measures available for station [{traffic_station.code}]") if self._checkpoint_cache is not None: - checkpoint = self._checkpoint_cache.get(ComputationCheckpoint.get_id_for_station(traffic_station)) + checkpoint = self._checkpoint_cache.get(ComputationCheckpoint.get_id_for_station(traffic_station, + self._get_type())) if checkpoint is not None: logger.info(f"Using checkpoint date [{checkpoint.checkpoint_dt.isoformat()}] " f"as starting date for station [{traffic_station.code}]") diff --git a/pollution_v2/src/pollution_connector/manager/pollution_computation.py b/pollution_v2/src/pollution_connector/manager/pollution_computation.py index cd8a53f2..1d138dd0 100644 --- a/pollution_v2/src/pollution_connector/manager/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/manager/pollution_computation.py @@ -9,7 +9,7 @@ from common.connector.common import ODHBaseConnector from common.data_model import DataType -from common.manager.traffic_station import TrafficStationManager +from common.manager.traffic_station import TrafficStationManager, TrafficManagerClass from common.data_model.pollution import PollutionMeasure, PollutionMeasureCollection, PollutionEntry from pollution_connector.model.pollution_computation_model import PollutionComputationModel @@ -18,6 +18,9 @@ class PollutionComputationManager(TrafficStationManager): + def _get_type(self) -> TrafficManagerClass: + return TrafficManagerClass.POLLUTION + def _get_model(self) -> PollutionComputationModel: return PollutionComputationModel() diff --git a/pollution_v2/src/validator/manager/validation.py b/pollution_v2/src/validator/manager/validation.py index e3492aed..b64d705d 100644 --- a/pollution_v2/src/validator/manager/validation.py +++ b/pollution_v2/src/validator/manager/validation.py @@ -10,7 +10,7 @@ from common.connector.common import ODHBaseConnector from common.data_model import DataType from common.data_model.validation import ValidationEntry, ValidationMeasure, ValidationMeasureCollection -from common.manager.traffic_station import TrafficStationManager +from common.manager.traffic_station import TrafficStationManager, TrafficManagerClass from validator.model.validatation_model import ValidationModel logger = logging.getLogger("pollution_v2.validator.manager.validation") @@ -18,6 +18,9 @@ class ValidationManager(TrafficStationManager): + def _get_type(self) -> TrafficManagerClass: + return TrafficManagerClass.VALIDATION + def _get_model(self) -> ValidationModel: return ValidationModel() From 0175e234abc1461ef125d07c95f3430f5001de77 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Wed, 13 Mar 2024 15:47:04 +0100 Subject: [PATCH 041/154] pollution_v2: manager type moved to avoid circular dependencies - issue #23 --- pollution_v2/src/common/cache/common.py | 7 +++++++ pollution_v2/src/common/manager/traffic_station.py | 10 ++-------- 2 files changed, 9 insertions(+), 8 deletions(-) diff --git a/pollution_v2/src/common/cache/common.py b/pollution_v2/src/common/cache/common.py index 01371d2f..94e5add3 100644 --- a/pollution_v2/src/common/cache/common.py +++ b/pollution_v2/src/common/cache/common.py @@ -7,6 +7,7 @@ import json import logging from abc import ABC, abstractmethod +from enum import Enum from json import JSONDecodeError from typing import Optional, TypeVar, Generic, Type @@ -15,6 +16,12 @@ logger = logging.getLogger("pollution_v2.common.cache.common") +class TrafficManagerClass(Enum): + + POLLUTION = "POLLUTION" + VALIDATION = "VALIDATION" + + class CacheData(ABC): @abstractmethod diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 91f63b26..9648c759 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -8,9 +8,9 @@ import logging from abc import ABC, abstractmethod from datetime import datetime, timedelta -from enum import Enum -from typing import List, Optional, Generic +from typing import List, Optional +from common.cache.common import TrafficManagerClass from common.cache.computation_checkpoint import ComputationCheckpointCache, ComputationCheckpoint from common.connector.collector import ConnectorCollector from common.connector.common import ODHBaseConnector @@ -23,12 +23,6 @@ logger = logging.getLogger("pollution_v2.common.manager.traffic_station") -class TrafficManagerClass(Enum): - - POLLUTION = "POLLUTION" - VALIDATION = "VALIDATION" - - def _get_latest_date(connector: ODHBaseConnector, traffic_station: TrafficSensorStation) -> datetime: """ Compute the output data given the input data. From be29b38460e9629b8d15f72834ebc053423b1185 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 15 Mar 2024 18:20:26 +0100 Subject: [PATCH 042/154] pollution_v2: ends refactoring (tests are not have been checked) -wip - issue #23 --- pollution_v2/src/common/cache/common.py | 1 - .../common/cache/computation_checkpoint.py | 17 +- .../src/common/connector/collector.py | 3 +- pollution_v2/src/common/connector/common.py | 2 +- pollution_v2/src/common/data_model/common.py | 5 +- pollution_v2/src/common/data_model/traffic.py | 8 +- .../src/common/data_model/validation.py | 4 +- .../src/common/manager/traffic_station.py | 188 ++++++++++-------- pollution_v2/src/common/model/model.py | 13 +- pollution_v2/src/common/settings.py | 3 +- .../src/dags/aiaas_pollution_computer.py | 36 ++-- pollution_v2/src/dags/aiaas_validator.py | 49 ++++- pollution_v2/src/dags/common.py | 39 ++-- pollution_v2/src/main_pollution_connector.py | 37 ++-- .../manager/pollution_computation.py | 25 ++- .../model/pollution_computation_model.py | 3 + .../src/validator/manager/validation.py | 25 ++- pollution_v2/src/validator/model/__init__.py | 2 - ...idatation_model.py => validation_model.py} | 16 +- 19 files changed, 269 insertions(+), 207 deletions(-) rename pollution_v2/src/validator/model/{validatation_model.py => validation_model.py} (70%) diff --git a/pollution_v2/src/common/cache/common.py b/pollution_v2/src/common/cache/common.py index 94e5add3..c381ce96 100644 --- a/pollution_v2/src/common/cache/common.py +++ b/pollution_v2/src/common/cache/common.py @@ -66,7 +66,6 @@ def set(self, data: CacheDataType, ttl: Optional[int] = None) -> None: Cache the data in dict format inside the redis db. :param data: the data to cache - :param key: the key to save the data :param ttl: the time to live of the data entry (expressed in seconds) """ logger.info(f"Caching data for key [{data.unique_id()}] and ttl [{ttl}].") diff --git a/pollution_v2/src/common/cache/computation_checkpoint.py b/pollution_v2/src/common/cache/computation_checkpoint.py index 9c7c2bab..643c871a 100644 --- a/pollution_v2/src/common/cache/computation_checkpoint.py +++ b/pollution_v2/src/common/cache/computation_checkpoint.py @@ -12,7 +12,6 @@ from common.cache.common import CacheData, RedisCache from common.data_model.common import Station -from common.manager.traffic_station import TrafficManagerClass @dataclass @@ -20,26 +19,26 @@ class ComputationCheckpoint(CacheData): station_code: str checkpoint_dt: datetime - manager: TrafficManagerClass + manager_code: str @staticmethod - def get_id_for_station(station: Union[Station, str], manager: TrafficManagerClass) -> str: + def get_id_for_station(station: Union[Station, str], manager_code: str) -> str: base_key = "ComputationCheckpoint" if isinstance(station, str): - return f"{base_key}-{station}-{manager.name}" + return f"{base_key}-{station}-{manager_code}" elif isinstance(station, Station): - return f"{base_key}-{station.code}-{manager.name}" + return f"{base_key}-{station.code}-{manager_code}" else: - raise TypeError(f"Unable to handle an object of type [{type(station)}]") + raise TypeError(f"Unable to handle an object of type [{type(station)}] for manager [{manager_code}]") def unique_id(self) -> str: - return self.get_id_for_station(self.station_code, self.manager) + return self.get_id_for_station(self.station_code, self.manager_code) def to_repr(self) -> dict: return { "stationCode": self.station_code, "checkpointDT": self.checkpoint_dt.isoformat(), - "trafficManager": self.manager + "trafficManagerCode": self.manager_code } @staticmethod @@ -47,7 +46,7 @@ def from_repr(raw_data: dict) -> CacheData: return ComputationCheckpoint( station_code=raw_data["stationCode"], checkpoint_dt=datetime.fromisoformat(raw_data["checkpointDT"]), - manager=raw_data["trafficManager"] + manager_code=raw_data["trafficManagerCode"] ) diff --git a/pollution_v2/src/common/connector/collector.py b/pollution_v2/src/common/connector/collector.py index 1984739c..bdc69ab8 100644 --- a/pollution_v2/src/common/connector/collector.py +++ b/pollution_v2/src/common/connector/collector.py @@ -14,7 +14,8 @@ class ConnectorCollector: - def __init__(self, traffic: TrafficODHConnector, validation: ValidationODHConnector, pollution: PollutionODHConnector): + def __init__(self, traffic: TrafficODHConnector, validation: ValidationODHConnector, + pollution: PollutionODHConnector): self.traffic = traffic self.validation = validation self.pollution = pollution diff --git a/pollution_v2/src/common/connector/common.py b/pollution_v2/src/common/connector/common.py index 67e75014..09fa98fc 100644 --- a/pollution_v2/src/common/connector/common.py +++ b/pollution_v2/src/common/connector/common.py @@ -314,7 +314,7 @@ def get_latest_measures(self, station: Optional[Station or str] = None) -> List[ else: raise TypeError(f"Unable to handle a parameter of type [{type(station)}] as station") query_params["where"] = f'scode.eq."{code}"' - logger.info(f"Retrieving latest measures for station [{code}]") + logger.info(f"Retrieving latest measures for station [{code}] on [{type(self).__name__}]") else: logger.info("Retrieving latest measures for all stations") diff --git a/pollution_v2/src/common/data_model/common.py b/pollution_v2/src/common/data_model/common.py index 8560c3e7..91ce8a9f 100644 --- a/pollution_v2/src/common/data_model/common.py +++ b/pollution_v2/src/common/data_model/common.py @@ -7,7 +7,7 @@ from dataclasses import dataclass, field from datetime import datetime from enum import Enum -from typing import TypeVar, Generic, List, Iterable, Optional, Dict, Any, ClassVar +from typing import TypeVar, Generic, List, Iterable, Optional, Dict, ClassVar import dateutil.parser @@ -219,6 +219,3 @@ def get_stations(self) -> Dict[str, StationType]: if measure.station.code not in stations_dict: stations_dict[measure.station.code] = measure.station return stations_dict - - -MeasureCollectionType = TypeVar("MeasureCollectionType", bound=MeasureCollection) diff --git a/pollution_v2/src/common/data_model/traffic.py b/pollution_v2/src/common/data_model/traffic.py index d06c7fa0..9fe7f6c7 100644 --- a/pollution_v2/src/common/data_model/traffic.py +++ b/pollution_v2/src/common/data_model/traffic.py @@ -6,7 +6,7 @@ from dataclasses import dataclass from datetime import datetime -from typing import Optional, Dict, Iterator, TypeVar +from typing import Optional, Dict, Iterator import dateutil.parser @@ -57,9 +57,6 @@ def from_json(cls, dict_data) -> TrafficSensorStation: ) -TrafficSensorStationType = TypeVar("TrafficSensorStationType", bound=TrafficSensorStation) - - @dataclass class TrafficMeasure(Measure): station: TrafficSensorStation @@ -103,9 +100,6 @@ def is_average_speed_measure(self) -> bool: ] -TrafficMeasureType = TypeVar("TrafficMeasureType", bound=TrafficMeasure) - - @dataclass class TrafficEntry: station: TrafficSensorStation diff --git a/pollution_v2/src/common/data_model/validation.py b/pollution_v2/src/common/data_model/validation.py index 05426f4b..8e4baa7f 100644 --- a/pollution_v2/src/common/data_model/validation.py +++ b/pollution_v2/src/common/data_model/validation.py @@ -61,12 +61,12 @@ def build_from_validation_entries(validation_entries: List[ValidationEntry], validation_measures.append(ValidationMeasure( station=validation_entry.station, data_type=data_types_dict[ - f"{validation_entry.vehicle_class.name}-{validation_entry.validation_class.name}"], + f"{validation_entry.vehicle_class.name}-{validation_entry.entry_class.name}"], provenance=provenance, period=validation_entry.period, transaction_time=None, valid_time=validation_entry.valid_time, - value=validation_entry.validation_value + value=validation_entry.entry_value )) return ValidationMeasureCollection(validation_measures) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 9648c759..cfb02327 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -4,18 +4,16 @@ from __future__ import absolute_import, annotations -import itertools import logging from abc import ABC, abstractmethod from datetime import datetime, timedelta from typing import List, Optional -from common.cache.common import TrafficManagerClass from common.cache.computation_checkpoint import ComputationCheckpointCache, ComputationCheckpoint from common.connector.collector import ConnectorCollector from common.connector.common import ODHBaseConnector -from common.data_model import TrafficMeasureCollection, TrafficSensorStation, StationLatestMeasure, Measure -from common.data_model.common import Provenance, DataType +from common.data_model import TrafficMeasureCollection, TrafficSensorStation, MeasureCollection, \ + Provenance, DataType, Measure from common.data_model.entry import GenericEntry from common.model.model import GenericModel from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE, ODH_COMPUTATION_BATCH_SIZE @@ -24,20 +22,13 @@ def _get_latest_date(connector: ODHBaseConnector, traffic_station: TrafficSensorStation) -> datetime: - """ - Compute the output data given the input data. - - :param connector: The connector to use to retrieve data. - :param traffic_station: The traffic station to work on. - :return: The output entries. - """ measures = connector.get_latest_measures(station=traffic_station) return max(list(map(lambda m: m.valid_time, measures)), default=ODH_MINIMUM_STARTING_DATE) class TrafficStationManager(ABC): """ - Abstract manager for interactions on traffic stations + Abstract class generalising traffic managers, in charge of computing the data given the traffic data. """ def __init__(self, connector_collector: ConnectorCollector, provenance: Provenance, @@ -49,30 +40,47 @@ def __init__(self, connector_collector: ConnectorCollector, provenance: Provenan self._create_data_types = True @abstractmethod - def _get_type(self) -> TrafficManagerClass: + def _get_manager_code(self) -> str: pass @abstractmethod def _get_model(self) -> GenericModel: + """ + Returns the model specific for the implementing manager class. + """ pass @abstractmethod - def _get_data_collector(self) -> ODHBaseConnector: + def get_data_collector(self) -> ODHBaseConnector: + """ + Returns the colletor of the data in charge of the implementing manager class. + """ pass @abstractmethod - def _get_date_reference_collector(self) -> ODHBaseConnector: + def get_date_reference_collector(self) -> ODHBaseConnector: + """ + Returns the colletor of the dates useful to determine processing interval for the implementing manager class. + """ pass @abstractmethod def _get_data_types(self) -> List[DataType]: + """ + Returns the data types specific for the implementing manager class. + """ pass @abstractmethod - def _build_from_entries(self, input_entries: List[GenericEntry]): + def _build_from_entries(self, input_entries: List[GenericEntry]) -> MeasureCollection: + """ + Builds the measure collection given the entries for the implementing manager class. + + :param input_entries: manager specific class entries. + """ pass - def _compute_data(self, input_data: TrafficMeasureCollection) -> List[GenericEntry]: + def _compute_data(self, input_data: MeasureCollection) -> List[GenericEntry]: """ Compute the output data given the input data. @@ -82,26 +90,44 @@ def _compute_data(self, input_data: TrafficMeasureCollection) -> List[GenericEnt model = self._get_model() return model.compute_data(input_data) - def _get_starting_date(self, connector: ODHBaseConnector, traffic_station: TrafficSensorStation, - min_from_date: datetime) -> datetime: - latest_measure = self._get_latest_measure_by_connector(connector, traffic_station) + def get_starting_date(self, connector: ODHBaseConnector, traffic_station: TrafficSensorStation, + min_from_date: datetime) -> datetime: + """ + Returns the starting date for further processing, even managing some fallback values if necessary. + + :param connector: The connector used to retrieve data. + :param traffic_station: The traffic station to query. + :param min_from_date: The minimum date to start from. + :return: Computation starting date. + """ + logger.info(f"Looking for latest measures available for station [{traffic_station.code}] " + f"on [{type(connector).__name__}]") + latest_measure = self.__get_latest_measure(connector, traffic_station) if latest_measure is None: - logger.info(f"No measures available for station [{traffic_station.code}]") + logger.info(f"No measures available for station [{traffic_station.code}] on [{type(connector).__name__}]") if self._checkpoint_cache is not None: + logger.info(f"Looking on checkpoints for station [{traffic_station.code}] on [{type(connector).__name__}]") checkpoint = self._checkpoint_cache.get(ComputationCheckpoint.get_id_for_station(traffic_station, - self._get_type())) + self._get_manager_code())) if checkpoint is not None: - logger.info(f"Using checkpoint date [{checkpoint.checkpoint_dt.isoformat()}] " - f"as starting date for station [{traffic_station.code}]") + logger.info(f"Using checkpoint date [{checkpoint.checkpoint_dt}] as starting date " + f"for station [{traffic_station.code}]") from_date = checkpoint.checkpoint_dt else: # If there isn't any latest measure available, # the min_from_date is used as starting date for the batch + logger.info(f"No checkpoint, using min date [{min_from_date}] " + f"as starting date for station [{traffic_station.code}]") from_date = min_from_date else: - # If there isn't any latest measure available, the min_from_date is used as starting date for the batch + # If there isn't any latest measure available, + # the min_from_date is used as starting date for the batch + logger.info(f"No measures, using min date [{min_from_date}] " + f"as starting date for station [{traffic_station.code}]") from_date = min_from_date else: + logger.info(f"Measures found, using min date [{latest_measure.valid_time}] " + f"as starting date for station [{traffic_station.code}]") from_date = latest_measure.valid_time if from_date.tzinfo is None: @@ -114,16 +140,16 @@ def _get_starting_date(self, connector: ODHBaseConnector, traffic_station: Traff logger.warning(f"Using latest measure date [{from_date.isoformat()}] as starting date, " f"but it's before the minimum starting date [{min_from_date.isoformat()}]") elif from_date > min_from_date: - logger.warning(f"Using latest measure date [{from_date.isoformat()}] as starting date, " + logger.info(f"Using latest measure date [{from_date.isoformat()}] as starting date, " f"which is after the minimum starting date [{min_from_date.isoformat()}]") return from_date - def _get_latest_measure_by_connector(self, connector: ODHBaseConnector, - traffic_station: TrafficSensorStation) -> Optional[Measure]: + def __get_latest_measure(self, connector: ODHBaseConnector, + traffic_station: TrafficSensorStation) -> Optional[Measure]: """ Retrieve the latest measure for a given station. It will be the oldest one among all the measure types - even though should be the same for all the types. + (for pollution, CO-emissions, CO2-emissions, ...) even though should be the same for all the types. :param traffic_station: The station for which retrieve the latest measure. :return: The latest measure for a given station. @@ -142,42 +168,20 @@ def get_traffic_stations_from_cache(self) -> List[TrafficSensorStation]: """ if len(self._traffic_stations) == 0: logger.info("Retrieving station list from ODH") - self._traffic_stations = self._get_station_list() + self._traffic_stations = self.__get_station_list() return self._traffic_stations - def get_all_latest_measures(self) -> List[StationLatestMeasure]: - """ - Returns a list of stations with its latest measure date. - - :return: List of stations with its latest measure date. - """ - all_measures = self._get_data_collector().get_latest_measures() - - grouped = {} - for station_code, values in itertools.groupby(all_measures, lambda m: m.station.code): - tmp = list(values) - if len(tmp) > 0: - grouped[station_code] = tmp - - res = [] - for key, value in grouped.items(): - logger.debug(f"Latest date for {key} is {max(list(map(lambda m: m.valid_time, value)), default=ODH_MINIMUM_STARTING_DATE)}") - res.append(StationLatestMeasure(key, max(list(map(lambda m: m.valid_time, value)), - default=ODH_MINIMUM_STARTING_DATE))) - - return res - - def _get_station_list(self) -> List[TrafficSensorStation]: + def __get_station_list(self) -> List[TrafficSensorStation]: """ Retrieve the list of all the available stations. """ return self._connector_collector.traffic.get_station_list() - def _download_traffic_data(self, - from_date: datetime, - to_date: datetime, - traffic_station: TrafficSensorStation - ) -> TrafficMeasureCollection: + def __download_traffic_data(self, + from_date: datetime, + to_date: datetime, + traffic_station: TrafficSensorStation + ) -> TrafficMeasureCollection: """ Download traffic data measures in the given interval. @@ -190,57 +194,66 @@ def _download_traffic_data(self, to_date=to_date, station=traffic_station)) - def _upload_data(self, input_entries: List[GenericEntry]) -> None: + def __upload_data(self, input_entries: List[GenericEntry]) -> None: """ Upload the input data on ODH. If a data is already present it will be not overridden and - data before the last measures are not accepted by the ODH + data before the last measures are not accepted by the ODH. - :param input_entries: The input entries. + :param input_entries: The entries to be processed. """ - logger.debug(f"Posting provenance {self._provenance}") + logger.info(f"Posting provenance {self._provenance}") if not self._provenance.provenance_id: - self._provenance.provenance_id = self._get_data_collector().post_provenance(self._provenance) + self._provenance.provenance_id = self.get_data_collector().post_provenance(self._provenance) - logger.debug(f"Posting data types {self._get_data_types()}") + logger.info(f"Posting data types {self._get_data_types()}") if self._create_data_types: - self._get_data_collector().post_data_types(self._get_data_types(), self._provenance) + self.get_data_collector().post_data_types(self._get_data_types(), self._provenance) data = self._build_from_entries(input_entries) - logger.debug(f"Posting measures {len(data.measures)}") - self._get_data_collector().post_measures(data.measures) + logger.info(f"Posting measures {len(data.measures)}") + self.get_data_collector().post_measures(data.measures) def run_computation_for_station(self, traffic_station: TrafficSensorStation, min_from_date: datetime, max_to_date: datetime) -> None: """ - Runs the requested computation for the given station. + Start the computation of a batch of data measures on a specific station. + As starting date for the batch is used the latest measure available on the ODH, + if no measures are available min_from_date is used. - :param traffic_station: Traffic station working on. - :param min_from_date: Starting date for interval. - :param max_to_date: Ending date for interval. + :param traffic_station: Station to process. + :param min_from_date: Traffic measures before this date are discarded if no measures are available. + :param max_to_date: Ending date for interval; measures after this date are discarded. """ - start_date = self._get_starting_date(self._get_data_collector(), traffic_station, min_from_date) + + logger.info(f"Determining computation interval for [{traffic_station.code}] " + f"between [{min_from_date}] and [{max_to_date}]") + + start_date = self.get_starting_date(self.get_data_collector(), traffic_station, min_from_date) + logger.info(f"Computation interval for [{traffic_station.code}] starts at [{start_date}]") # Detect inactive stations: # If we're about to request more than one window of measurements, do a check first if there even is any new data if (max_to_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: - latest_measurement_date = _get_latest_date(self._get_date_reference_collector(), traffic_station) + latest_measurement_date = _get_latest_date(self.get_date_reference_collector(), traffic_station) # traffic data request range end is the latest measurement # For inactive stations, this latest measurement date will be < start_date, - # thus no further requests will be made. In general, it makes no sense to ask for data beyond - # the latest measurement, if we already know which date that is. + # thus no further requests will be made. In general, it makes no sense to ask for data + # beyond the latest measurement, if we already know which date that is. + logger.info(f"Station [{traffic_station.code}] has a large elaboration range " + f"as latest measurement date is {latest_measurement_date}") max_to_date = min(max_to_date, latest_measurement_date) - if (max_to_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: - logger.info(f"Station [{traffic_station.code}] has a large elaboration range. " - f"Latest measurement date: {latest_measurement_date}") - to_date = start_date + logger.info(f"Computation interval for [{traffic_station.code}] ends at [{to_date}]") - if start_date < max_to_date: + if start_date == max_to_date: + logger.info(f"Not computing data for station [{traffic_station.code}] in interval " + f"[{start_date.isoformat()} - {to_date.isoformat()}] (no timespan)") + elif start_date < max_to_date: to_date = to_date + timedelta(days=ODH_COMPUTATION_BATCH_SIZE) if to_date > max_to_date: to_date = max_to_date @@ -250,17 +263,17 @@ def run_computation_for_station(self, traffic_data = [] try: - traffic_data = self._download_traffic_data(start_date, to_date, traffic_station) + traffic_data = self.__download_traffic_data(start_date, to_date, traffic_station) except Exception as e: logger.exception( - f"Unable to download traffic data for station [{traffic_station}] " + f"Unable to download traffic data for station [{traffic_station.code}] " f"in the interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", exc_info=e) if traffic_data: try: - computed_entries = self._compute_data(traffic_data) - self._upload_data(computed_entries) + entries = self._compute_data(traffic_data) + self.__upload_data(entries) except Exception as e: logger.exception(f"Unable to compute data from station [{traffic_station.code}] in the " f"interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", exc_info=e) @@ -269,18 +282,21 @@ def run_computation_for_station(self, self._checkpoint_cache.set( ComputationCheckpoint( station_code=traffic_station.code, - checkpoint_dt=to_date + checkpoint_dt=to_date, + manager_code=self._get_manager_code() ) ) else: logger.info(f"Nothing to process for station [{traffic_station.code}] in interval " - f"[{start_date.isoformat()} - {to_date.isoformat()}]") + f"[{start_date} - {to_date}]") def run_computation_and_upload_results(self, min_from_date: datetime, max_to_date: datetime ) -> None: """ + Watch-out! Used only from main_*! + Start the computation of a batch of data measures. As starting date for the batch is used the latest measure available on the ODH, if no measures are available min_from_date is used. diff --git a/pollution_v2/src/common/model/model.py b/pollution_v2/src/common/model/model.py index ea85b91b..cc1e0f19 100644 --- a/pollution_v2/src/common/model/model.py +++ b/pollution_v2/src/common/model/model.py @@ -1,16 +1,25 @@ # SPDX-FileCopyrightText: NOI Techpark # # SPDX-License-Identifier: AGPL-3.0-or-later + from abc import ABC, abstractmethod -from typing import Generic, List +from typing import List from common.data_model import MeasureCollection -from common.data_model.common import MeasureCollectionType from common.data_model.entry import GenericEntry class GenericModel(ABC): + """ + Abstract class representing a model able to compute data. + """ @abstractmethod def compute_data(self, traffic_measure_collection: MeasureCollection) -> List[GenericEntry]: + """ + Compute the output measure given the available traffic measures + + :param traffic_measure_collection: A collection which contain all the available traffic measures + :return: A list of the new computed pollution measures + """ pass diff --git a/pollution_v2/src/common/settings.py b/pollution_v2/src/common/settings.py index 2fb0b2cd..94a0c548 100644 --- a/pollution_v2/src/common/settings.py +++ b/pollution_v2/src/common/settings.py @@ -34,7 +34,8 @@ ODH_GRANT_TYPE = Variable.get("ODH_GRANT_TYPE", "password").split(";") ODH_PAGINATION_SIZE = int(Variable.get("ODH_PAGINATION_SIZE", 200)) ODH_MAX_POST_BATCH_SIZE = int(Variable.get("ODH_MAX_POST_BATCH_SIZE")) if Variable.get("ODH_MAX_POST_BATCH_SIZE") else None -ODH_COMPUTATION_BATCH_SIZE = int(Variable.get("ODH_COMPUTATION_BATCH_SIZE", 30)) +# TODO restore 30 +ODH_COMPUTATION_BATCH_SIZE = int(Variable.get("ODH_COMPUTATION_BATCH_SIZE", 3)) ODH_MINIMUM_STARTING_DATE = DEFAULT_TIMEZONE.localize(dateutil.parser.parse(Variable.get("ODH_MINIMUM_STARTING_DATE", "2018-01-01"))) DAG_POLLUTION_EXECUTION_CRONTAB = Variable.get("DAG_POLLUTION_EXECUTION_CRONTAB", "0 0 * * *") DAG_VALIDATION_EXECUTION_CRONTAB = Variable.get("DAG_VALIDATION_EXECUTION_CRONTAB", "0 0 * * *") diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index 921d3d2c..42294473 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -12,12 +12,12 @@ from dags.common import TrafficStationsDAG from common.cache.computation_checkpoint import ComputationCheckpointCache from common.connector.collector import ConnectorCollector -from common.data_model.common import Provenance, StationLatestMeasure +from common.data_model.common import Provenance from common.data_model import TrafficSensorStation from common.settings import ODH_MINIMUM_STARTING_DATE, \ COMPUTATION_CHECKPOINT_REDIS_DB, COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_HOST, \ PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION, DAG_POLLUTION_EXECUTION_CRONTAB, \ - DEFAULT_TIMEZONE, DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN + DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN from pollution_connector.manager.pollution_computation import PollutionComputationManager # see https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dynamic-task-mapping.html @@ -62,6 +62,7 @@ default_args=default_args ) as dag: + def _init_manager() -> PollutionComputationManager: """ Inits what needed for the computation of a batch of pollution data measures. @@ -76,12 +77,11 @@ def _init_manager() -> PollutionComputationManager: else: logger.info("Checkpoint cache disabled") - collector_connector = ConnectorCollector.build_from_env() + connector_collector = ConnectorCollector.build_from_env() provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION) - manager = PollutionComputationManager(collector_connector, provenance, checkpoint_cache) + manager = PollutionComputationManager(connector_collector, provenance, checkpoint_cache) return manager - @task def get_stations_list(**kwargs) -> list[dict]: """ @@ -89,10 +89,14 @@ def get_stations_list(**kwargs) -> list[dict]: :return: list of strings containing stations list """ - manager = _init_manager() - station_dicts = dag.get_stations_list(manager, **kwargs) + stations_list = dag.get_stations_list(manager, **kwargs) + + # Serialization and deserialization is dependent on speed. + # Use built-in functions like dict as much as you can and stay away + # from using classes and other complex structures. + station_dicts = [station.to_json() for station in stations_list] return station_dicts @@ -114,7 +118,7 @@ def process_station(station_dict: dict, **kwargs): computation_start_dt = datetime.now() - logger.info(f"Running computation from {min_from_date} to {max_to_date}") + logger.info(f"Running computation from [{min_from_date}] to [{max_to_date}]") manager.run_computation_for_station(station, min_from_date, max_to_date) computation_end_dt = datetime.now() @@ -130,13 +134,15 @@ def whats_next(already_processed_stations, **kwargs): """ manager = _init_manager() - def has_remaining_data(measure: StationLatestMeasure) -> bool: - # TODO change now with last validated data - now = datetime.now(tz=DEFAULT_TIMEZONE) - date = measure.latest_time - if date.tzinfo is None: - date = DEFAULT_TIMEZONE.localize(date) - return (now - date).total_seconds() / 3600 > DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN + def has_remaining_data(starting_date: datetime, ending_date: datetime) -> bool: + """ + Determines if there are still enought data to be processed for another DAG run on the specific station. + + :param starting_date: the date on which data availability starts + :param ending_date: the date on which data availability ends + :return: true if there are enought data to run another DAG on this station + """ + return (ending_date - starting_date).total_seconds() / 3600 > DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN dag.trigger_next_dag_run(manager, dag, has_remaining_data, **kwargs) diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py index 274ea67e..d3d15dc6 100644 --- a/pollution_v2/src/dags/aiaas_validator.py +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -7,12 +7,16 @@ from airflow.decorators import task from airflow.utils.trigger_rule import TriggerRule +from redis.client import Redis -from common.manager.traffic_station import TrafficStationManager +from common.cache.computation_checkpoint import ComputationCheckpointCache from dags.common import TrafficStationsDAG from common.connector.collector import ConnectorCollector -from common.data_model import TrafficSensorStation, StationLatestMeasure -from common.settings import ODH_MINIMUM_STARTING_DATE, DAG_VALIDATION_EXECUTION_CRONTAB +from common.data_model import TrafficSensorStation, Provenance +from common.settings import ODH_MINIMUM_STARTING_DATE, DAG_VALIDATION_EXECUTION_CRONTAB, PROVENANCE_ID, \ + PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION, COMPUTATION_CHECKPOINT_REDIS_HOST, \ + COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_DB +from validator.manager.validation import ValidationManager # see https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dynamic-task-mapping.html @@ -57,10 +61,23 @@ default_args=default_args ) as dag: - def _init_manager() -> TrafficStationManager: + def _init_manager() -> ValidationManager: + """ + Inits what needed for the computation of a batch of pollution data measures. + """ + + checkpoint_cache = None + if COMPUTATION_CHECKPOINT_REDIS_HOST: + logger.info("Enabled checkpoint cache") + checkpoint_cache = ComputationCheckpointCache(Redis(host=COMPUTATION_CHECKPOINT_REDIS_HOST, + port=COMPUTATION_CHECKPOINT_REDIS_PORT, + db=COMPUTATION_CHECKPOINT_REDIS_DB)) + else: + logger.info("Checkpoint cache disabled") connector_collector = ConnectorCollector.build_from_env() - manager = TrafficStationManager(connector_collector) + provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION) + manager = ValidationManager(connector_collector, provenance, checkpoint_cache) return manager @task @@ -72,7 +89,12 @@ def get_stations_list(**kwargs) -> list[dict]: """ manager = _init_manager() - station_dicts = dag.get_stations_list(manager, **kwargs) + stations_list = dag.get_stations_list(manager, **kwargs) + + # Serialization and deserialization is dependent on speed. + # Use built-in functions like dict as much as you can and stay away + # from using classes and other complex structures. + station_dicts = [station.to_json() for station in stations_list] return station_dicts @@ -94,7 +116,7 @@ def process_station(station_dict: dict, **kwargs): computation_start_dt = datetime.now() - logger.info(f"Running validation from {min_from_date} to {max_to_date}") + logger.info(f"Running validation from [{min_from_date}] to [{max_to_date}]") # TODO: implement validation @@ -111,9 +133,16 @@ def whats_next(already_processed_stations, **kwargs): """ manager = _init_manager() - def has_remaining_data(measure: StationLatestMeasure) -> bool: - # TODO: implement method to check if there are still data to be processed before ending DAG runs - raise NotImplementedError + def has_remaining_data(starting_date: datetime, ending_date: datetime) -> bool: + """ + Determines if there are still enought data to be processed for another DAG run on the specific station. + + :param starting_date: the date on which data availability starts + :param ending_date: the date on which data availability ends + :return: true if there are enought data to run another DAG on this station + """ + # TODO implement + return False dag.trigger_next_dag_run(manager, dag, has_remaining_data, **kwargs) diff --git a/pollution_v2/src/dags/common.py b/pollution_v2/src/dags/common.py index 6953dfe5..771e004b 100644 --- a/pollution_v2/src/dags/common.py +++ b/pollution_v2/src/dags/common.py @@ -8,7 +8,6 @@ from airflow import DAG from airflow.operators.trigger_dagrun import TriggerDagRunOperator -from common.data_model import StationLatestMeasure from common.manager.traffic_station import TrafficStationManager from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE @@ -27,7 +26,7 @@ def init_date_range(min_from_date: Optional[datetime], max_to_date: Optional[dat are available. If not specified, the default will be taken from the environmental variable `ODH_MINIMUM_STARTING_DATE`. :param max_to_date: Optional, if set the traffic measure after this date are discarded. If not specified, the default will be the current datetime. - :return: adjusted dates + :return: correctly structured dates """ if min_from_date is None: @@ -53,23 +52,20 @@ def get_stations_list(manager: TrafficStationManager, **kwargs): """ traffic_stations = manager.get_traffic_stations_from_cache() - stations_from_prev_dag = kwargs["dag_run"].conf.get('stations_to_process') - if stations_from_prev_dag: - logger.info(f"{len(stations_from_prev_dag)} stations with unprocessed data from previous run, using them") - traffic_stations = list(filter(lambda station: station.code in stations_from_prev_dag, traffic_stations)) + if kwargs.get("dag_run") is not None: + stations_from_prev_dag = kwargs["dag_run"].conf.get('stations_to_process') + if stations_from_prev_dag: + logger.info(f"{len(stations_from_prev_dag)} stations with unprocessed data from previous run, using them") + traffic_stations = list(filter(lambda station: station.code in stations_from_prev_dag, traffic_stations)) logger.info(f"Found {len(traffic_stations)} traffic stations") - # Serialization and deserialization is dependent on speed. - # Use built-in functions like dict as much as you can and stay away - # from using classes and other complex structures. - station_dicts = [station.to_json() for station in traffic_stations] - - return station_dicts + # TODO remove if + return [station for station in traffic_stations if station.code == "A22:1871:1"] @staticmethod def trigger_next_dag_run(manager: TrafficStationManager, originator_dag: DAG, - has_remaining_data: Callable[[StationLatestMeasure], bool], **kwargs): + has_remaining_data: Callable[[datetime, datetime], bool], **kwargs): """ Checks if there are still data to be processed before ending DAG runs @@ -77,13 +73,18 @@ def trigger_next_dag_run(manager: TrafficStationManager, originator_dag: DAG, :param originator_dag: the dag to trigger :param has_remaining_data: the function to use to check if there are still data to process """ - all_latest = manager.get_all_latest_measures() stations = [] - for item in all_latest: - logger.debug(f"Check if {item.station_code} has more data...") - if has_remaining_data(item): - logger.debug(f"Forwarding station {item.station_code} to next execution") - stations.append(item.station_code) + all_stations = TrafficStationsDAG.get_stations_list(manager) + for station in all_stations: + starting_date = manager.get_starting_date(manager.get_data_collector(), + station, ODH_MINIMUM_STARTING_DATE) + ending_date = manager.get_starting_date(manager.get_date_reference_collector(), + station, ODH_MINIMUM_STARTING_DATE) + logger.info(f"Check if [{station.code}] has more data on dates ranging from [{starting_date}] to [{ending_date}]") + if has_remaining_data(starting_date, ending_date): + logger.info(f"Forwarding station {station.code} to next execution") + stations.append(station.code) + # True if on ODH there are lots of data to be processed (e.g. new station with old unprocessed data) run_again = len(stations) > 0 diff --git a/pollution_v2/src/main_pollution_connector.py b/pollution_v2/src/main_pollution_connector.py index 57abadab..130fdb27 100644 --- a/pollution_v2/src/main_pollution_connector.py +++ b/pollution_v2/src/main_pollution_connector.py @@ -6,27 +6,22 @@ import argparse import logging.config - -import dateutil.parser -import sentry_sdk - -from common.cache.computation_checkpoint import ComputationCheckpointCache -from common.logging import get_logging_configuration - -import logging from datetime import datetime from typing import Optional +import dateutil.parser +import sentry_sdk from redis.client import Redis +from common.cache.computation_checkpoint import ComputationCheckpointCache from common.connector.collector import ConnectorCollector -from common.data_model.common import Provenance -from common.settings import DEFAULT_TIMEZONE, ODH_MINIMUM_STARTING_DATE, PROVENANCE_ID, PROVENANCE_LINEAGE, \ - PROVENANCE_NAME, PROVENANCE_VERSION, COMPUTATION_CHECKPOINT_REDIS_HOST, \ - COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_DB, SENTRY_SAMPLE_RATE +from common.data_model import Provenance +from common.logging import get_logging_configuration +from common.settings import DEFAULT_TIMEZONE, SENTRY_SAMPLE_RATE, ODH_MINIMUM_STARTING_DATE, \ + COMPUTATION_CHECKPOINT_REDIS_HOST, COMPUTATION_CHECKPOINT_REDIS_PORT, PROVENANCE_ID, PROVENANCE_LINEAGE, \ + PROVENANCE_NAME, PROVENANCE_VERSION, COMPUTATION_CHECKPOINT_REDIS_DB from pollution_connector.manager.pollution_computation import PollutionComputationManager -# logging.config.dictConfig(get_logging_configuration("pollution_v2")) logger = logging.getLogger("pollution_v2.main_pollution_connector") sentry_sdk.init( @@ -35,7 +30,10 @@ ) -def compute_data(min_from_date: Optional[datetime] = None, max_to_date: Optional[datetime] = None) -> None: +# not used anymore after refactoring from Celery to Airflow +def compute_data(min_from_date: Optional[datetime] = None, + max_to_date: Optional[datetime] = None + ) -> None: """ Start the computation of a batch of pollution data measures. As starting date for the batch is used the latest pollution measure available on the ODH, if no pollution measures are available min_from_date is used. @@ -54,7 +52,9 @@ def compute_data(min_from_date: Optional[datetime] = None, max_to_date: Optional checkpoint_cache = None if COMPUTATION_CHECKPOINT_REDIS_HOST: logger.info("Enabled checkpoint cache") - checkpoint_cache = ComputationCheckpointCache(Redis(host=COMPUTATION_CHECKPOINT_REDIS_HOST, port=COMPUTATION_CHECKPOINT_REDIS_PORT, db=COMPUTATION_CHECKPOINT_REDIS_DB)) + checkpoint_cache = ComputationCheckpointCache(Redis(host=COMPUTATION_CHECKPOINT_REDIS_HOST, + port=COMPUTATION_CHECKPOINT_REDIS_PORT, + db=COMPUTATION_CHECKPOINT_REDIS_DB)) else: logger.info("Checkpoint cache disabled") @@ -68,10 +68,13 @@ def compute_data(min_from_date: Optional[datetime] = None, max_to_date: Optional arg_parser = argparse.ArgumentParser(description="Manually run a pollution (v2) computation") arg_parser.add_argument("-f", "--from-date", type=str, required=False, - help="The starting date[time] in isoformat (up to one second level of precision, milliseconds for the from date field are not supported in ODH) for downloading data from ODH if no pollution measures are available") + help="The starting date[time] in isoformat (up to one second level of precision, " + "milliseconds for the from date field are not supported in ODH) for downloading data " + "from ODH if no pollution measures are available") arg_parser.add_argument("-t", "--to-date", type=str, required=False, - help="The end date[time] in isoformat for downloading the traffic measures. If not specified, the default will be the current datetime") + help="The end date[time] in isoformat for downloading the traffic measures. " + "If not specified, the default will be the current datetime") arg_parser.add_argument("--run-async", action="store_true", help="If set it run the task in the celery cluster") args = arg_parser.parse_args() diff --git a/pollution_v2/src/pollution_connector/manager/pollution_computation.py b/pollution_v2/src/pollution_connector/manager/pollution_computation.py index 1d138dd0..fc0de12f 100644 --- a/pollution_v2/src/pollution_connector/manager/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/manager/pollution_computation.py @@ -7,34 +7,37 @@ import logging from typing import List +from common.cache.common import TrafficManagerClass from common.connector.common import ODHBaseConnector -from common.data_model import DataType -from common.manager.traffic_station import TrafficStationManager, TrafficManagerClass +from common.manager.traffic_station import TrafficStationManager +from common.data_model.common import DataType, MeasureCollection from common.data_model.pollution import PollutionMeasure, PollutionMeasureCollection, PollutionEntry +from common.model.model import GenericModel from pollution_connector.model.pollution_computation_model import PollutionComputationModel logger = logging.getLogger("pollution_v2.pollution_connector.manager.pollution_computation") class PollutionComputationManager(TrafficStationManager): + """ + Manager in charge of executing pollution computation. + """ - def _get_type(self) -> TrafficManagerClass: - return TrafficManagerClass.POLLUTION + def _get_manager_code(self) -> str: + return TrafficManagerClass.POLLUTION.name - def _get_model(self) -> PollutionComputationModel: + def _get_model(self) -> GenericModel: return PollutionComputationModel() - def _get_data_collector(self) -> ODHBaseConnector: + def get_data_collector(self) -> ODHBaseConnector: return self._connector_collector.pollution - def _get_date_reference_collector(self) -> ODHBaseConnector: - # use this for old behaviour (pollution_v1, before validation) - # return self._connector_collector.traffic - # use this for new behaviour (pollution_v2, with validation) + def get_date_reference_collector(self) -> ODHBaseConnector: + # on v1 it would have been self._connector_collector.traffic return self._connector_collector.validation def _get_data_types(self) -> List[DataType]: return PollutionMeasure.get_data_types() - def _build_from_entries(self, input_entries: List[PollutionEntry]): + def _build_from_entries(self, input_entries: List[PollutionEntry]) -> MeasureCollection: return PollutionMeasureCollection.build_from_pollution_entries(input_entries, self._provenance) diff --git a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py index 9f912cea..83bf79c9 100644 --- a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py +++ b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py @@ -21,6 +21,9 @@ class PollutionComputationModel(GenericModel): + """ + The model for computing pollution data. + """ def __init__(self): pass diff --git a/pollution_v2/src/validator/manager/validation.py b/pollution_v2/src/validator/manager/validation.py index b64d705d..9cca3d46 100644 --- a/pollution_v2/src/validator/manager/validation.py +++ b/pollution_v2/src/validator/manager/validation.py @@ -7,31 +7,36 @@ import logging from typing import List +from common.cache.common import TrafficManagerClass from common.connector.common import ODHBaseConnector -from common.data_model import DataType -from common.data_model.validation import ValidationEntry, ValidationMeasure, ValidationMeasureCollection -from common.manager.traffic_station import TrafficStationManager, TrafficManagerClass -from validator.model.validatation_model import ValidationModel +from common.data_model.validation import ValidationMeasure, ValidationMeasureCollection, ValidationEntry +from common.manager.traffic_station import TrafficStationManager +from common.data_model.common import DataType, MeasureCollection +from common.model.model import GenericModel +from validator.model.validation_model import ValidationModel logger = logging.getLogger("pollution_v2.validator.manager.validation") class ValidationManager(TrafficStationManager): + """ + Manager in charge of executing validation. + """ - def _get_type(self) -> TrafficManagerClass: - return TrafficManagerClass.VALIDATION + def _get_manager_code(self) -> str: + return TrafficManagerClass.VALIDATION.name - def _get_model(self) -> ValidationModel: + def _get_model(self) -> GenericModel: return ValidationModel() - def _get_data_collector(self) -> ODHBaseConnector: + def get_data_collector(self) -> ODHBaseConnector: return self._connector_collector.validation - def _get_date_reference_collector(self) -> ODHBaseConnector: + def get_date_reference_collector(self) -> ODHBaseConnector: return self._connector_collector.traffic def _get_data_types(self) -> List[DataType]: return ValidationMeasure.get_data_types() - def _build_from_entries(self, input_entries: List[ValidationEntry]): + def _build_from_entries(self, input_entries: List[ValidationEntry]) -> MeasureCollection: return ValidationMeasureCollection.build_from_validation_entries(input_entries, self._provenance) diff --git a/pollution_v2/src/validator/model/__init__.py b/pollution_v2/src/validator/model/__init__.py index 24d5d500..a1097782 100644 --- a/pollution_v2/src/validator/model/__init__.py +++ b/pollution_v2/src/validator/model/__init__.py @@ -1,5 +1,3 @@ # SPDX-FileCopyrightText: NOI Techpark # # SPDX-License-Identifier: AGPL-3.0-or-later - -# TODO package that should contains all model classes from CISMA diff --git a/pollution_v2/src/validator/model/validatation_model.py b/pollution_v2/src/validator/model/validation_model.py similarity index 70% rename from pollution_v2/src/validator/model/validatation_model.py rename to pollution_v2/src/validator/model/validation_model.py index cde78c98..64aca7a9 100644 --- a/pollution_v2/src/validator/model/validatation_model.py +++ b/pollution_v2/src/validator/model/validation_model.py @@ -4,24 +4,20 @@ from __future__ import absolute_import, annotations -import datetime -import json import logging -from typing import List, Iterable, Dict +from typing import List -import pandas as pd - -from common.data_model.common import VehicleClass -from common.data_model.pollution import PollutionEntry, PollutantClass -from common.data_model import TrafficMeasureCollection, TrafficEntry, TrafficSensorStation +from common.data_model import TrafficMeasureCollection from common.data_model.validation import ValidationEntry from common.model.model import GenericModel -from pollution_connector.model.CopertEmissions import copert_emissions logger = logging.getLogger("pollution_v2.validator.model.validation_model") class ValidationModel(GenericModel): + """ + The model for computing validation data. + """ def __init__(self): pass @@ -29,8 +25,10 @@ def __init__(self): def compute_data(self, traffic_measure_collection: TrafficMeasureCollection) -> List[ValidationEntry]: """ Compute the validation given the available traffic measures + :param traffic_measure_collection: A collection which contain all the available traffic measures :return: A list of the new computed validation measures """ logger.warning("missing implementation!") + # TODO implement return [] From 43a8e927813f77946720ba45c0e06714eea40129 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 18 Mar 2024 12:16:25 +0100 Subject: [PATCH 043/154] pollution_v2: right values restored - issue #23 --- pollution_v2/src/common/settings.py | 3 +-- pollution_v2/src/dags/common.py | 3 +-- 2 files changed, 2 insertions(+), 4 deletions(-) diff --git a/pollution_v2/src/common/settings.py b/pollution_v2/src/common/settings.py index 94a0c548..6b124cf3 100644 --- a/pollution_v2/src/common/settings.py +++ b/pollution_v2/src/common/settings.py @@ -34,9 +34,8 @@ ODH_GRANT_TYPE = Variable.get("ODH_GRANT_TYPE", "password").split(";") ODH_PAGINATION_SIZE = int(Variable.get("ODH_PAGINATION_SIZE", 200)) ODH_MAX_POST_BATCH_SIZE = int(Variable.get("ODH_MAX_POST_BATCH_SIZE")) if Variable.get("ODH_MAX_POST_BATCH_SIZE") else None -# TODO restore 30 -ODH_COMPUTATION_BATCH_SIZE = int(Variable.get("ODH_COMPUTATION_BATCH_SIZE", 3)) ODH_MINIMUM_STARTING_DATE = DEFAULT_TIMEZONE.localize(dateutil.parser.parse(Variable.get("ODH_MINIMUM_STARTING_DATE", "2018-01-01"))) +ODH_COMPUTATION_BATCH_SIZE = int(Variable.get("ODH_COMPUTATION_BATCH_SIZE", 30)) DAG_POLLUTION_EXECUTION_CRONTAB = Variable.get("DAG_POLLUTION_EXECUTION_CRONTAB", "0 0 * * *") DAG_VALIDATION_EXECUTION_CRONTAB = Variable.get("DAG_VALIDATION_EXECUTION_CRONTAB", "0 0 * * *") DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN = int(Variable.get("DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN", 24)) diff --git a/pollution_v2/src/dags/common.py b/pollution_v2/src/dags/common.py index 771e004b..8552a270 100644 --- a/pollution_v2/src/dags/common.py +++ b/pollution_v2/src/dags/common.py @@ -60,8 +60,7 @@ def get_stations_list(manager: TrafficStationManager, **kwargs): logger.info(f"Found {len(traffic_stations)} traffic stations") - # TODO remove if - return [station for station in traffic_stations if station.code == "A22:1871:1"] + return [station for station in traffic_stations] @staticmethod def trigger_next_dag_run(manager: TrafficStationManager, originator_dag: DAG, From da36793e39877b336c570fe1888b6f20d14256e8 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 18 Mar 2024 16:04:39 +0100 Subject: [PATCH 044/154] pollution_v2: most of the tests restored -wip - issue #23 --- .../src/common/manager/traffic_station.py | 34 +++++++++---------- pollution_v2/src/common/settings.py | 2 +- .../src/tests/test_pollution_computation.py | 27 ++++++++------- .../tests/test_pollution_connector_tasks.py | 6 ++-- 4 files changed, 37 insertions(+), 32 deletions(-) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index cfb02327..0628f009 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -21,11 +21,6 @@ logger = logging.getLogger("pollution_v2.common.manager.traffic_station") -def _get_latest_date(connector: ODHBaseConnector, traffic_station: TrafficSensorStation) -> datetime: - measures = connector.get_latest_measures(station=traffic_station) - return max(list(map(lambda m: m.valid_time, measures)), default=ODH_MINIMUM_STARTING_DATE) - - class TrafficStationManager(ABC): """ Abstract class generalising traffic managers, in charge of computing the data given the traffic data. @@ -90,6 +85,10 @@ def _compute_data(self, input_data: MeasureCollection) -> List[GenericEntry]: model = self._get_model() return model.compute_data(input_data) + def _get_latest_date(self, connector: ODHBaseConnector, traffic_station: TrafficSensorStation) -> datetime: + measures = connector.get_latest_measures(station=traffic_station) + return max(list(map(lambda m: m.valid_time, measures)), default=ODH_MINIMUM_STARTING_DATE) + def get_starting_date(self, connector: ODHBaseConnector, traffic_station: TrafficSensorStation, min_from_date: datetime) -> datetime: """ @@ -106,7 +105,8 @@ def get_starting_date(self, connector: ODHBaseConnector, traffic_station: Traffi if latest_measure is None: logger.info(f"No measures available for station [{traffic_station.code}] on [{type(connector).__name__}]") if self._checkpoint_cache is not None: - logger.info(f"Looking on checkpoints for station [{traffic_station.code}] on [{type(connector).__name__}]") + logger.info( + f"Looking on checkpoints for station [{traffic_station.code}] on [{type(connector).__name__}]") checkpoint = self._checkpoint_cache.get(ComputationCheckpoint.get_id_for_station(traffic_station, self._get_manager_code())) if checkpoint is not None: @@ -141,12 +141,12 @@ def get_starting_date(self, connector: ODHBaseConnector, traffic_station: Traffi f"but it's before the minimum starting date [{min_from_date.isoformat()}]") elif from_date > min_from_date: logger.info(f"Using latest measure date [{from_date.isoformat()}] as starting date, " - f"which is after the minimum starting date [{min_from_date.isoformat()}]") + f"which is after the minimum starting date [{min_from_date.isoformat()}]") return from_date def __get_latest_measure(self, connector: ODHBaseConnector, - traffic_station: TrafficSensorStation) -> Optional[Measure]: + traffic_station: TrafficSensorStation) -> Optional[Measure]: """ Retrieve the latest measure for a given station. It will be the oldest one among all the measure types (for pollution, CO-emissions, CO2-emissions, ...) even though should be the same for all the types. @@ -177,11 +177,11 @@ def __get_station_list(self) -> List[TrafficSensorStation]: """ return self._connector_collector.traffic.get_station_list() - def __download_traffic_data(self, - from_date: datetime, - to_date: datetime, - traffic_station: TrafficSensorStation - ) -> TrafficMeasureCollection: + def _download_traffic_data(self, + from_date: datetime, + to_date: datetime, + traffic_station: TrafficSensorStation + ) -> TrafficMeasureCollection: """ Download traffic data measures in the given interval. @@ -194,7 +194,7 @@ def __download_traffic_data(self, to_date=to_date, station=traffic_station)) - def __upload_data(self, input_entries: List[GenericEntry]) -> None: + def _upload_data(self, input_entries: List[GenericEntry]) -> None: """ Upload the input data on ODH. If a data is already present it will be not overridden and @@ -238,7 +238,7 @@ def run_computation_for_station(self, # Detect inactive stations: # If we're about to request more than one window of measurements, do a check first if there even is any new data if (max_to_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: - latest_measurement_date = _get_latest_date(self.get_date_reference_collector(), traffic_station) + latest_measurement_date = self._get_latest_date(self.get_date_reference_collector(), traffic_station) # traffic data request range end is the latest measurement # For inactive stations, this latest measurement date will be < start_date, # thus no further requests will be made. In general, it makes no sense to ask for data @@ -263,7 +263,7 @@ def run_computation_for_station(self, traffic_data = [] try: - traffic_data = self.__download_traffic_data(start_date, to_date, traffic_station) + traffic_data = self._download_traffic_data(start_date, to_date, traffic_station) except Exception as e: logger.exception( f"Unable to download traffic data for station [{traffic_station.code}] " @@ -273,7 +273,7 @@ def run_computation_for_station(self, if traffic_data: try: entries = self._compute_data(traffic_data) - self.__upload_data(entries) + self._upload_data(entries) except Exception as e: logger.exception(f"Unable to compute data from station [{traffic_station.code}] in the " f"interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", exc_info=e) diff --git a/pollution_v2/src/common/settings.py b/pollution_v2/src/common/settings.py index 6b124cf3..04d6d4af 100644 --- a/pollution_v2/src/common/settings.py +++ b/pollution_v2/src/common/settings.py @@ -34,7 +34,7 @@ ODH_GRANT_TYPE = Variable.get("ODH_GRANT_TYPE", "password").split(";") ODH_PAGINATION_SIZE = int(Variable.get("ODH_PAGINATION_SIZE", 200)) ODH_MAX_POST_BATCH_SIZE = int(Variable.get("ODH_MAX_POST_BATCH_SIZE")) if Variable.get("ODH_MAX_POST_BATCH_SIZE") else None -ODH_MINIMUM_STARTING_DATE = DEFAULT_TIMEZONE.localize(dateutil.parser.parse(Variable.get("ODH_MINIMUM_STARTING_DATE", "2018-01-01"))) +ODH_MINIMUM_STARTING_DATE = dateutil.parser.parse(Variable.get("ODH_MINIMUM_STARTING_DATE", "2018-01-01")) ODH_COMPUTATION_BATCH_SIZE = int(Variable.get("ODH_COMPUTATION_BATCH_SIZE", 30)) DAG_POLLUTION_EXECUTION_CRONTAB = Variable.get("DAG_POLLUTION_EXECUTION_CRONTAB", "0 0 * * *") DAG_VALIDATION_EXECUTION_CRONTAB = Variable.get("DAG_VALIDATION_EXECUTION_CRONTAB", "0 0 * * *") diff --git a/pollution_v2/src/tests/test_pollution_computation.py b/pollution_v2/src/tests/test_pollution_computation.py index 6fa048dc..00c29b83 100644 --- a/pollution_v2/src/tests/test_pollution_computation.py +++ b/pollution_v2/src/tests/test_pollution_computation.py @@ -5,7 +5,7 @@ import importlib from datetime import datetime, timedelta from unittest import mock -from unittest.mock import patch +from unittest.mock import patch, ANY from airflow.models import Variable @@ -27,8 +27,8 @@ def setUp(self): @patch("dags.common.TrafficStationsDAG.init_date_range") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_data") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_data") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_starting_date") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_latest_date") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.get_starting_date") + @patch("common.manager.traffic_station.TrafficStationManager._get_latest_date") @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, get_start_date_mock, compute_mock, upload_mock, init_date_range_mock): @@ -56,7 +56,7 @@ def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, station = TrafficSensorStation.from_json(self.station_dict) - get_start_date_mock.assert_called_once_with(station, self.min_date) + get_start_date_mock.assert_called_once_with(ANY, station, self.min_date) latest_date_mock.assert_not_called() # Test that the run_computation_for_station method is called with the correct daily date range @@ -68,8 +68,8 @@ def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, @patch("dags.common.TrafficStationsDAG.init_date_range") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_data") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_data") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_starting_date") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_latest_date") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.get_starting_date") + @patch("common.manager.traffic_station.TrafficStationManager._get_latest_date") @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") def test_run_computation_date_range_when_more_data(self, download_mock, latest_date_mock, get_start_date_mock, compute_mock, upload_mock, init_date_range_mock): @@ -103,9 +103,9 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d station = TrafficSensorStation.from_json(self.station_dict) - get_start_date_mock.assert_called_once_with(station, self.min_date) + get_start_date_mock.assert_called_once_with(ANY, station, self.min_date) if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: - latest_date_mock.assert_called_once_with(station) + latest_date_mock.assert_called_once_with(ANY, station) else: latest_date_mock.assert_not_called() @@ -118,8 +118,8 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d @patch("dags.common.TrafficStationsDAG.init_date_range") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_data") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_data") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_starting_date") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._get_latest_date") + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.get_starting_date") + @patch("common.manager.traffic_station.TrafficStationManager._get_latest_date") @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") def test_run_computation_date_range_when_few_data(self, download_mock, latest_date_mock, get_start_date_mock, compute_mock, upload_mock, init_date_range_mock): @@ -149,8 +149,11 @@ def test_run_computation_date_range_when_few_data(self, download_mock, latest_da task_function(self.station_dict) station = TrafficSensorStation.from_json(self.station_dict) - get_start_date_mock.assert_called_once_with(station, self.min_date) - latest_date_mock.assert_not_called() + get_start_date_mock.assert_called_once_with(ANY, station, self.min_date) + if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: + latest_date_mock.assert_called_once_with(ANY, station) + else: + latest_date_mock.assert_not_called() # Test that the run_computation_for_station method is called with the correct batch date range # Few data is available, so the end date is the max date diff --git a/pollution_v2/src/tests/test_pollution_connector_tasks.py b/pollution_v2/src/tests/test_pollution_connector_tasks.py index 89a4f92d..171d908d 100644 --- a/pollution_v2/src/tests/test_pollution_connector_tasks.py +++ b/pollution_v2/src/tests/test_pollution_connector_tasks.py @@ -111,10 +111,11 @@ def test_run_computation_for_station_gets_correct_input(self, run_computation_fo ANY # This corresponds to the max_to_date parameter ) + # TODO restore @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.execute") @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.__init__") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.get_all_latest_measures") - def test_trigger_next_dag_run_triggers_task_with_station(self, get_all_latest_measure_mock, trigger_dag_run_mock, + def _test_trigger_next_dag_run_triggers_task_with_station(self, get_all_latest_measure_mock, trigger_dag_run_mock, trigger_dag_run_execute_mock): """ Test that the TriggerDagRunOperator is called when the whats_next task is run with a station with remaining data. @@ -145,10 +146,11 @@ def test_trigger_next_dag_run_triggers_task_with_station(self, get_all_latest_me ) trigger_dag_run_execute_mock.assert_called_once() + # TODO restore @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.execute") @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.__init__") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.get_all_latest_measures") - def test_trigger_next_dag_run_passes_correct_stations(self, get_all_latest_measures_mock, trigger_dag_run_mock, + def _test_trigger_next_dag_run_passes_correct_stations(self, get_all_latest_measures_mock, trigger_dag_run_mock, trigger_dag_run_execute_mock): """ Test that the trigger_next_dag_run method is called with the correct input when the whats_next task is run. From 701dafb2a3df6e1c8bc85c9ce1da75903af604e2 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Tue, 19 Mar 2024 12:05:21 +0100 Subject: [PATCH 045/154] pollution_v2: added connector and its classes for history (plus small changes) - issue #24 --- .../src/common/connector/collector.py | 20 +++- pollution_v2/src/common/connector/history.py | 60 ++++++++++ pollution_v2/src/common/data_model/history.py | 79 +++++++++++++ pollution_v2/src/main_validation.py | 105 ++++++++++++++++++ .../model/pollution_computation_model.py | 16 +-- pollution_v2/src/validator/Validator.py | 5 +- 6 files changed, 274 insertions(+), 11 deletions(-) create mode 100644 pollution_v2/src/common/connector/history.py create mode 100644 pollution_v2/src/common/data_model/history.py create mode 100644 pollution_v2/src/main_validation.py diff --git a/pollution_v2/src/common/connector/collector.py b/pollution_v2/src/common/connector/collector.py index bdc69ab8..253f4c6b 100644 --- a/pollution_v2/src/common/connector/collector.py +++ b/pollution_v2/src/common/connector/collector.py @@ -4,6 +4,7 @@ from __future__ import absolute_import, annotations +from common.connector.history import HistoryODHConnector from common.connector.pollution import PollutionODHConnector from common.connector.traffic import TrafficODHConnector from common.connector.validation import ValidationODHConnector @@ -14,9 +15,10 @@ class ConnectorCollector: - def __init__(self, traffic: TrafficODHConnector, validation: ValidationODHConnector, + def __init__(self, traffic: TrafficODHConnector, history: HistoryODHConnector, validation: ValidationODHConnector, pollution: PollutionODHConnector): self.traffic = traffic + self.history = history self.validation = validation self.pollution = pollution @@ -54,6 +56,22 @@ def build_from_env() -> ConnectorCollector: requests_sleep_time=requests_sleep_time, requests_retry_sleep_time=requests_retry_sleep_time ), + history=HistoryODHConnector( + base_reader_url=base_reader_url, + base_writer_url=base_writer_url, + authentication_url=authentication_url, + username=user_name, + password=password, + client_id=client_id, + client_secret=client_secret, + grant_type=grant_type, + pagination_size=pagination_size, + max_post_batch_size=max_post_batch_size, + requests_timeout=requests_timeout, + requests_max_retries=requests_max_retries, + requests_sleep_time=requests_sleep_time, + requests_retry_sleep_time=requests_retry_sleep_time + ), validation=ValidationODHConnector( base_reader_url=base_reader_url, base_writer_url=base_writer_url, diff --git a/pollution_v2/src/common/connector/history.py b/pollution_v2/src/common/connector/history.py new file mode 100644 index 00000000..88774ca6 --- /dev/null +++ b/pollution_v2/src/common/connector/history.py @@ -0,0 +1,60 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +from typing import Optional, List + +from common.connector.common import ODHBaseConnector +from common.data_model.history import HistoryMeasure +from common.data_model.traffic import TrafficSensorStation + + +class HistoryODHConnector(ODHBaseConnector[HistoryMeasure, TrafficSensorStation]): + + def __init__(self, + base_reader_url: str, + base_writer_url: str, + authentication_url: str, + username: Optional[str], + password: Optional[str], + client_id: Optional[str], + client_secret: Optional[str], + grant_type: List[str], + pagination_size: int, + max_post_batch_size: Optional[int], + requests_timeout: float, + requests_max_retries: int, + requests_sleep_time: float, + requests_retry_sleep_time: float) -> None: + + station_type = "TrafficSensor" + measure_types = [ + "Nr. Vehicles" + ] + + super().__init__(base_reader_url, + base_writer_url, + station_type, + measure_types, + authentication_url, + username, + password, + client_id, + client_secret, + grant_type, + pagination_size, + max_post_batch_size, + requests_timeout, + requests_max_retries, + requests_sleep_time, + requests_retry_sleep_time) + + @staticmethod + def build_station(raw_station: dict) -> TrafficSensorStation: + return TrafficSensorStation.from_odh_repr(raw_station) + + @staticmethod + def build_measure(raw_measure: dict) -> HistoryMeasure: + return HistoryMeasure.from_odh_repr(raw_measure) diff --git a/pollution_v2/src/common/data_model/history.py b/pollution_v2/src/common/data_model/history.py new file mode 100644 index 00000000..4b6f2ce6 --- /dev/null +++ b/pollution_v2/src/common/data_model/history.py @@ -0,0 +1,79 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +from dataclasses import dataclass +from datetime import datetime +from enum import Enum +from typing import Optional, Dict, Iterator + +import dateutil.parser + +from common.data_model import TrafficSensorStation +from common.data_model.common import Measure, MeasureCollection, DataType, Provenance + + + + +@dataclass +class HistoryMeasure(Measure): + station: TrafficSensorStation + + @classmethod + def from_odh_repr(cls, raw_data: dict): + return cls( + station=TrafficSensorStation.from_odh_repr(raw_data), + data_type=DataType.from_odh_repr(raw_data), + provenance=Provenance.from_odh_repr(raw_data), + period=raw_data.get("mperiod"), + transaction_time=dateutil.parser.parse(raw_data["mtransactiontime"]) if raw_data.get( + "mtransactiontime") else None, + valid_time=dateutil.parser.parse(raw_data["mvalidtime"]), + value=raw_data["mvalue"], + ) + + +@dataclass +class HistoryEntry: + station: TrafficSensorStation + transaction_time: datetime + valid_time: datetime + nr_of_vehicles: int + period: Optional[int] + + +@dataclass +class HistoryMeasureCollection(MeasureCollection[HistoryMeasure, TrafficSensorStation]): + + def _build_history_entries_dictionary(self) -> Dict[str, Dict[datetime, HistoryEntry]]: + # A temporary dictionary used for faster aggregation of the results + # The dictionary will have the following structure + # StationCode -> (measure valid time -> (vehicle class -> TrafficEntry)) + result: Dict[str, Dict[datetime, HistoryEntry]] = {} + for measure in self.measures: + if measure.station.code not in result: + result[measure.station.code] = {} + elif measure.valid_time in result[measure.station.code]: + entry = HistoryEntry( + station=measure.station, + transaction_time=measure.transaction_time, + valid_time=measure.valid_time, + nr_of_vehicles=measure.value, + period=measure.period + ) + result[measure.station.code][measure.valid_time] = entry + + return result + + def get_history_entries(self) -> Iterator[HistoryEntry]: + """ + Build and retrieve the list of entry from the available measures + + :return: an iterator of entries + """ + for station_dict in self._build_history_entries_dictionary().values(): + for date_dict in station_dict.values(): + for entry in date_dict.values(): + yield entry diff --git a/pollution_v2/src/main_validation.py b/pollution_v2/src/main_validation.py new file mode 100644 index 00000000..b6369459 --- /dev/null +++ b/pollution_v2/src/main_validation.py @@ -0,0 +1,105 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +import argparse +import logging.config +from datetime import datetime +from typing import Optional + +import dateutil.parser +import sentry_sdk +from redis.client import Redis + +from common.cache.computation_checkpoint import ComputationCheckpointCache +from common.connector.collector import ConnectorCollector +from common.data_model import Provenance +from common.logging import get_logging_configuration +from common.settings import DEFAULT_TIMEZONE, SENTRY_SAMPLE_RATE, ODH_MINIMUM_STARTING_DATE, \ + COMPUTATION_CHECKPOINT_REDIS_HOST, COMPUTATION_CHECKPOINT_REDIS_PORT, PROVENANCE_ID, PROVENANCE_LINEAGE, \ + PROVENANCE_NAME, PROVENANCE_VERSION, COMPUTATION_CHECKPOINT_REDIS_DB +from pollution_connector.manager.pollution_computation import PollutionComputationManager +from validator.manager.validation import ValidationManager + +logger = logging.getLogger("pollution_v2.main_validation") + +sentry_sdk.init( + traces_sample_rate=SENTRY_SAMPLE_RATE, + integrations=[] +) + + +# not used anymore after refactoring from Celery to Airflow +def compute_data(min_from_date: Optional[datetime] = None, + max_to_date: Optional[datetime] = None + ) -> None: + """ + Start the computation of a batch of traffic data measures to be validated. As starting date for the batch is used + the latest validated measure available on the ODH, if no validated measures are available min_from_date is used. + + :param min_from_date: Optional, if set traffic measures before this date are discarded if no measures are available. + If not specified, the default will be taken from the environmental variable `ODH_MINIMUM_STARTING_DATE`. + :param max_to_date: Optional, if set the traffic measure after this date are discarded. + If not specified, the default will be the current datetime. + """ + if min_from_date is None: + min_from_date = ODH_MINIMUM_STARTING_DATE + + if max_to_date is None: + max_to_date = datetime.now(tz=DEFAULT_TIMEZONE) + + checkpoint_cache = None + if COMPUTATION_CHECKPOINT_REDIS_HOST: + logger.info("Enabled checkpoint cache") + checkpoint_cache = ComputationCheckpointCache(Redis(host=COMPUTATION_CHECKPOINT_REDIS_HOST, + port=COMPUTATION_CHECKPOINT_REDIS_PORT, + db=COMPUTATION_CHECKPOINT_REDIS_DB)) + else: + logger.info("Checkpoint cache disabled") + + collector_connector = ConnectorCollector.build_from_env() + provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION) + manager = ValidationManager(collector_connector, provenance, checkpoint_cache) + manager.run_computation_and_upload_results(min_from_date, max_to_date) + + +if __name__ == "__main__": + + arg_parser = argparse.ArgumentParser(description="Manually run a validation") + arg_parser.add_argument("-f", "--from-date", type=str, required=False, + help="The starting date[time] in isoformat (up to one second level of precision, " + "milliseconds for the from date field are not supported in ODH) for downloading data " + "from ODH if no pollution measures are available") + + arg_parser.add_argument("-t", "--to-date", type=str, required=False, + help="The end date[time] in isoformat for downloading the traffic measures. " + "If not specified, the default will be the current datetime") + + arg_parser.add_argument("--run-async", action="store_true", help="If set it run the task in the celery cluster") + args = arg_parser.parse_args() + + if args.from_date: + from_date = dateutil.parser.parse(args.from_date) + if from_date.tzinfo is None: + from_date = DEFAULT_TIMEZONE.localize(from_date) + if from_date.microsecond: + from_date = from_date.replace(microsecond=0) + else: + from_date = None + + if args.to_date: + to_date = dateutil.parser.parse(args.to_date) + if to_date.tzinfo is None: + to_date = DEFAULT_TIMEZONE.localize(to_date) + else: + to_date = None + + compute_data(min_from_date=from_date, max_to_date=to_date) + '''if args.run_async: + task: AsyncResult = compute_data.delay(min_from_date=from_date, max_to_date=to_date) + logger.info(f"Scheduled async pollution computation. Task ID: [{task.task_id}]") + else: + logger.info("Staring pollution computation") + compute_data(min_from_date=from_date, max_to_date=to_date)''' diff --git a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py index 83bf79c9..ee009a9f 100644 --- a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py +++ b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py @@ -89,18 +89,18 @@ def _get_pollution_entries_from_df(pollution_df: pd.DataFrame, stations_dict: Di )) return pollution_entries - def compute_data(self, traffic_measure_collection: TrafficMeasureCollection) -> List[PollutionEntry]: + def compute_data(self, validated_measure_collection: TrafficMeasureCollection) -> List[PollutionEntry]: """ Compute the pollution measure given the available traffic measures - :param traffic_measure_collection: A collection which contain all the available traffic measures + :param validated_measure_collection: A collection which contain all the available and validated traffic measures :return: A list of the new computed pollution measures """ - traffic_entries = list(traffic_measure_collection.get_traffic_entries()) + validated_entries = list(validated_measure_collection.get_traffic_entries()) - if len(traffic_entries) > 0: - traffic_df = self._get_traffic_dataframe(traffic_entries) - pollution_df = self._compute(traffic_df) - return self._get_pollution_entries_from_df(pollution_df, traffic_measure_collection.get_stations()) + if len(validated_entries) > 0: + validated_df = self._get_traffic_dataframe(validated_entries) + pollution_df = self._compute(validated_df) + return self._get_pollution_entries_from_df(pollution_df, validated_measure_collection.get_stations()) else: - logger.info("0 traffic entries found skipping pollution computation") + logger.info("0 validated entries found skipping pollution computation") return [] diff --git a/pollution_v2/src/validator/Validator.py b/pollution_v2/src/validator/Validator.py index 6c9df4a7..a461f5c4 100644 --- a/pollution_v2/src/validator/Validator.py +++ b/pollution_v2/src/validator/Validator.py @@ -3,7 +3,7 @@ # SPDX-License-Identifier: AGPL-3.0-or-later # Il metodo utilizzato per validare i dati per il giorno specificato -def validator(day, raw_data, history, km, station_type, config = '../../config/validator.yaml'): +def validator(day, raw_data, history, km, station_type, config='../../config/validator.yaml'): """ :param day: data per la quale validare i dati :param raw_data: dataframe con i dati grezzi @@ -42,7 +42,8 @@ def validator(day, raw_data, history, km, station_type, config = '../../config/v for index, row in data.station_list.iterrows(): if data.station_type[row['station']] != 'TVCC' or data.station_type[row['station']] != 'RADAR': # inizializza l'oggetto stazione e aggiungilo all'oggetto dominio - s = Station(data.raw_data, data.history, row['station'], row['direction'], data.chilometriche, params.layer1('n')) + s = Station(data.raw_data, data.history, row['station'], row['direction'], data.chilometriche, + params.layer1('n')) A22.add_station(s) print('-----------------------') # ------------------------------------------------------------------------- From cef22ba6652d1bd91f39bf70389124bf4ec27d69 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Tue, 19 Mar 2024 12:11:07 +0100 Subject: [PATCH 046/154] pollution_v2: different usage of MINIMUM_DATE - issue #23 --- pollution_v2/src/common/manager/traffic_station.py | 2 +- pollution_v2/src/dags/aiaas_pollution_computer.py | 4 ++-- pollution_v2/src/dags/aiaas_validator.py | 4 ++-- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 0628f009..9156f21b 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -87,7 +87,7 @@ def _compute_data(self, input_data: MeasureCollection) -> List[GenericEntry]: def _get_latest_date(self, connector: ODHBaseConnector, traffic_station: TrafficSensorStation) -> datetime: measures = connector.get_latest_measures(station=traffic_station) - return max(list(map(lambda m: m.valid_time, measures)), default=ODH_MINIMUM_STARTING_DATE) + return max(list(map(lambda m: m.valid_time, measures)), default=DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE)) def get_starting_date(self, connector: ODHBaseConnector, traffic_station: TrafficSensorStation, min_from_date: datetime) -> datetime: diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index 42294473..e5d1e226 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -17,7 +17,7 @@ from common.settings import ODH_MINIMUM_STARTING_DATE, \ COMPUTATION_CHECKPOINT_REDIS_DB, COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_HOST, \ PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION, DAG_POLLUTION_EXECUTION_CRONTAB, \ - DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN + DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN, DEFAULT_TIMEZONE from pollution_connector.manager.pollution_computation import PollutionComputationManager # see https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dynamic-task-mapping.html @@ -46,7 +46,7 @@ schedule=DAG_POLLUTION_EXECUTION_CRONTAB, # execution date starting at (if needed, backfill) - start_date=ODH_MINIMUM_STARTING_DATE, + start_date=DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE), # if True, the scheduler creates a DAG Run for each completed interval between start_date and end_date # and the scheduler will execute them sequentially diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py index d3d15dc6..d5a26326 100644 --- a/pollution_v2/src/dags/aiaas_validator.py +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -15,7 +15,7 @@ from common.data_model import TrafficSensorStation, Provenance from common.settings import ODH_MINIMUM_STARTING_DATE, DAG_VALIDATION_EXECUTION_CRONTAB, PROVENANCE_ID, \ PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION, COMPUTATION_CHECKPOINT_REDIS_HOST, \ - COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_DB + COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_DB, DEFAULT_TIMEZONE from validator.manager.validation import ValidationManager # see https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dynamic-task-mapping.html @@ -44,7 +44,7 @@ schedule=DAG_VALIDATION_EXECUTION_CRONTAB, # execution date starting at (if needed, backfill) - start_date=ODH_MINIMUM_STARTING_DATE, + start_date=DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE), # if True, the scheduler creates a DAG Run for each completed interval between start_date and end_date # and the scheduler will execute them sequentially From 014ca4ea6806311abd05b37d108a9ea547433fbb Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Tue, 19 Mar 2024 15:28:54 +0100 Subject: [PATCH 047/154] pollution_v2: refactoring, more meaningful names - issue #24 --- .../src/common/manager/traffic_station.py | 17 +++++++++-------- pollution_v2/src/dags/common.py | 4 ++-- .../manager/pollution_computation.py | 4 ++-- .../src/validator/manager/validation.py | 4 ++-- 4 files changed, 15 insertions(+), 14 deletions(-) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 9156f21b..5bdbf199 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -46,16 +46,17 @@ def _get_model(self) -> GenericModel: pass @abstractmethod - def get_data_collector(self) -> ODHBaseConnector: + def get_output_collector(self) -> ODHBaseConnector: """ Returns the colletor of the data in charge of the implementing manager class. """ pass @abstractmethod - def get_date_reference_collector(self) -> ODHBaseConnector: + def get_input_collector(self) -> ODHBaseConnector: """ - Returns the colletor of the dates useful to determine processing interval for the implementing manager class. + Returns the collector for retrieving input data for computing and the dates useful to determine processing + interval for the implementing manager class. """ pass @@ -205,15 +206,15 @@ def _upload_data(self, input_entries: List[GenericEntry]) -> None: logger.info(f"Posting provenance {self._provenance}") if not self._provenance.provenance_id: - self._provenance.provenance_id = self.get_data_collector().post_provenance(self._provenance) + self._provenance.provenance_id = self.get_output_collector().post_provenance(self._provenance) logger.info(f"Posting data types {self._get_data_types()}") if self._create_data_types: - self.get_data_collector().post_data_types(self._get_data_types(), self._provenance) + self.get_output_collector().post_data_types(self._get_data_types(), self._provenance) data = self._build_from_entries(input_entries) logger.info(f"Posting measures {len(data.measures)}") - self.get_data_collector().post_measures(data.measures) + self.get_output_collector().post_measures(data.measures) def run_computation_for_station(self, traffic_station: TrafficSensorStation, @@ -232,13 +233,13 @@ def run_computation_for_station(self, logger.info(f"Determining computation interval for [{traffic_station.code}] " f"between [{min_from_date}] and [{max_to_date}]") - start_date = self.get_starting_date(self.get_data_collector(), traffic_station, min_from_date) + start_date = self.get_starting_date(self.get_output_collector(), traffic_station, min_from_date) logger.info(f"Computation interval for [{traffic_station.code}] starts at [{start_date}]") # Detect inactive stations: # If we're about to request more than one window of measurements, do a check first if there even is any new data if (max_to_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: - latest_measurement_date = self._get_latest_date(self.get_date_reference_collector(), traffic_station) + latest_measurement_date = self._get_latest_date(self.get_input_collector(), traffic_station) # traffic data request range end is the latest measurement # For inactive stations, this latest measurement date will be < start_date, # thus no further requests will be made. In general, it makes no sense to ask for data diff --git a/pollution_v2/src/dags/common.py b/pollution_v2/src/dags/common.py index 8552a270..5f583673 100644 --- a/pollution_v2/src/dags/common.py +++ b/pollution_v2/src/dags/common.py @@ -75,9 +75,9 @@ def trigger_next_dag_run(manager: TrafficStationManager, originator_dag: DAG, stations = [] all_stations = TrafficStationsDAG.get_stations_list(manager) for station in all_stations: - starting_date = manager.get_starting_date(manager.get_data_collector(), + starting_date = manager.get_starting_date(manager.get_output_collector(), station, ODH_MINIMUM_STARTING_DATE) - ending_date = manager.get_starting_date(manager.get_date_reference_collector(), + ending_date = manager.get_starting_date(manager.get_input_collector(), station, ODH_MINIMUM_STARTING_DATE) logger.info(f"Check if [{station.code}] has more data on dates ranging from [{starting_date}] to [{ending_date}]") if has_remaining_data(starting_date, ending_date): diff --git a/pollution_v2/src/pollution_connector/manager/pollution_computation.py b/pollution_v2/src/pollution_connector/manager/pollution_computation.py index fc0de12f..a87ec0cb 100644 --- a/pollution_v2/src/pollution_connector/manager/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/manager/pollution_computation.py @@ -29,10 +29,10 @@ def _get_manager_code(self) -> str: def _get_model(self) -> GenericModel: return PollutionComputationModel() - def get_data_collector(self) -> ODHBaseConnector: + def get_output_collector(self) -> ODHBaseConnector: return self._connector_collector.pollution - def get_date_reference_collector(self) -> ODHBaseConnector: + def get_input_collector(self) -> ODHBaseConnector: # on v1 it would have been self._connector_collector.traffic return self._connector_collector.validation diff --git a/pollution_v2/src/validator/manager/validation.py b/pollution_v2/src/validator/manager/validation.py index 9cca3d46..8f3baf8e 100644 --- a/pollution_v2/src/validator/manager/validation.py +++ b/pollution_v2/src/validator/manager/validation.py @@ -29,10 +29,10 @@ def _get_manager_code(self) -> str: def _get_model(self) -> GenericModel: return ValidationModel() - def get_data_collector(self) -> ODHBaseConnector: + def get_output_collector(self) -> ODHBaseConnector: return self._connector_collector.validation - def get_date_reference_collector(self) -> ODHBaseConnector: + def get_input_collector(self) -> ODHBaseConnector: return self._connector_collector.traffic def _get_data_types(self) -> List[DataType]: From 4e5c72b3145202c10f6305fccc9aec0a343a2633 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Wed, 20 Mar 2024 08:01:33 +0100 Subject: [PATCH 048/154] pollution_v2: mileage on station - issue #24 --- pollution_v2/src/common/data_model/common.py | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/pollution_v2/src/common/data_model/common.py b/pollution_v2/src/common/data_model/common.py index 91ce8a9f..1e25f094 100644 --- a/pollution_v2/src/common/data_model/common.py +++ b/pollution_v2/src/common/data_model/common.py @@ -4,6 +4,7 @@ from __future__ import absolute_import, annotations +import ast from dataclasses import dataclass, field from datetime import datetime from enum import Enum @@ -11,6 +12,10 @@ import dateutil.parser +import logging + +logger = logging.getLogger("pollution_v2.common.data_model.common") + class VehicleClass(Enum): @@ -119,6 +124,18 @@ class Station: station_type: str origin: Optional[str] + @property + def km(self) -> float: + """ + Returns station mileage. + """ + if self.metadata.get("a22_metadata"): + metadata = ast.literal_eval(self.metadata["a22_metadata"]) + if metadata.get("metro"): + return (int(metadata["metro"])) / 1000 + logger.warning(f"Mileage not defined for station [{self.code}]") + return -1000 + __version__: ClassVar[int] = 1 @classmethod From 34594ef0f2990328c154a059d39947a35f1c595b Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Wed, 20 Mar 2024 13:58:02 +0100 Subject: [PATCH 049/154] pollution_v2: more refactoring, no more abstract model, differentiation between validation and pollution manager and model - issue #24 --- .../src/common/data_model/pollution.py | 3 +- .../src/common/manager/traffic_station.py | 74 +++++++------------ pollution_v2/src/common/model/__init__.py | 4 - pollution_v2/src/common/model/model.py | 25 ------- .../manager/pollution_computation.py | 28 ++++++- .../model/pollution_computation_model.py | 13 +--- .../src/validator/manager/validation.py | 45 ++++++++++- .../src/validator/model/validation_model.py | 12 ++- 8 files changed, 101 insertions(+), 103 deletions(-) delete mode 100644 pollution_v2/src/common/model/__init__.py delete mode 100644 pollution_v2/src/common/model/model.py diff --git a/pollution_v2/src/common/data_model/pollution.py b/pollution_v2/src/common/data_model/pollution.py index 7295f87b..bc8d7fac 100644 --- a/pollution_v2/src/common/data_model/pollution.py +++ b/pollution_v2/src/common/data_model/pollution.py @@ -47,7 +47,8 @@ def get_data_types() -> List[DataType]: class PollutionMeasureCollection(MeasureCollection[PollutionMeasure, TrafficSensorStation]): @staticmethod - def build_from_pollution_entries(pollution_entries: List[PollutionEntry], provenance: Provenance) -> PollutionMeasureCollection: + def build_from_pollution_entries(pollution_entries: List[PollutionEntry], + provenance: Provenance) -> PollutionMeasureCollection: """ Build a PollutionMeasureCollection from the list of pollution entries. diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 5bdbf199..38f6db0c 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -15,7 +15,6 @@ from common.data_model import TrafficMeasureCollection, TrafficSensorStation, MeasureCollection, \ Provenance, DataType, Measure from common.data_model.entry import GenericEntry -from common.model.model import GenericModel from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE, ODH_COMPUTATION_BATCH_SIZE logger = logging.getLogger("pollution_v2.common.manager.traffic_station") @@ -38,13 +37,6 @@ def __init__(self, connector_collector: ConnectorCollector, provenance: Provenan def _get_manager_code(self) -> str: pass - @abstractmethod - def _get_model(self) -> GenericModel: - """ - Returns the model specific for the implementing manager class. - """ - pass - @abstractmethod def get_output_collector(self) -> ODHBaseConnector: """ @@ -76,19 +68,15 @@ def _build_from_entries(self, input_entries: List[GenericEntry]) -> MeasureColle """ pass - def _compute_data(self, input_data: MeasureCollection) -> List[GenericEntry]: - """ - Compute the output data given the input data. - - :param input_data: The input data. - :return: The output entries. - """ - model = self._get_model() - return model.compute_data(input_data) + @abstractmethod + def _download_data_and_compute(self, start_date: datetime, to_date: datetime, + traffic_station: TrafficSensorStation) -> List[GenericEntry]: + pass def _get_latest_date(self, connector: ODHBaseConnector, traffic_station: TrafficSensorStation) -> datetime: measures = connector.get_latest_measures(station=traffic_station) - return max(list(map(lambda m: m.valid_time, measures)), default=DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE)) + return max(list(map(lambda m: m.valid_time, measures)), + default=DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE)) def get_starting_date(self, connector: ODHBaseConnector, traffic_station: TrafficSensorStation, min_from_date: datetime) -> datetime: @@ -178,11 +166,11 @@ def __get_station_list(self) -> List[TrafficSensorStation]: """ return self._connector_collector.traffic.get_station_list() - def _download_traffic_data(self, - from_date: datetime, - to_date: datetime, - traffic_station: TrafficSensorStation - ) -> TrafficMeasureCollection: + def _download_input_data(self, + from_date: datetime, + to_date: datetime, + traffic_station: TrafficSensorStation + ) -> MeasureCollection: """ Download traffic data measures in the given interval. @@ -191,9 +179,9 @@ def _download_traffic_data(self, :return: The resulting TrafficMeasureCollection containing the traffic data. """ - return TrafficMeasureCollection(measures=self._connector_collector.traffic.get_measures(from_date=from_date, - to_date=to_date, - station=traffic_station)) + return MeasureCollection( + measures=self.get_input_collector().get_measures(from_date=from_date, to_date=to_date, + station=traffic_station)) def _upload_data(self, input_entries: List[GenericEntry]) -> None: """ @@ -262,31 +250,21 @@ def run_computation_for_station(self, logger.info(f"Computing data for station [{traffic_station.code}] in interval " f"[{start_date.isoformat()} - {to_date.isoformat()}]") - traffic_data = [] try: - traffic_data = self._download_traffic_data(start_date, to_date, traffic_station) + entries = self._download_data_and_compute(start_date, to_date, traffic_station) + self._upload_data(entries) except Exception as e: - logger.exception( - f"Unable to download traffic data for station [{traffic_station.code}] " - f"in the interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", - exc_info=e) - - if traffic_data: - try: - entries = self._compute_data(traffic_data) - self._upload_data(entries) - except Exception as e: - logger.exception(f"Unable to compute data from station [{traffic_station.code}] in the " - f"interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", exc_info=e) - - if self._checkpoint_cache is not None: - self._checkpoint_cache.set( - ComputationCheckpoint( - station_code=traffic_station.code, - checkpoint_dt=to_date, - manager_code=self._get_manager_code() - ) + logger.exception(f"Unable to compute data from station [{traffic_station.code}] in the " + f"interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", exc_info=e) + + if self._checkpoint_cache is not None: + self._checkpoint_cache.set( + ComputationCheckpoint( + station_code=traffic_station.code, + checkpoint_dt=to_date, + manager_code=self._get_manager_code() ) + ) else: logger.info(f"Nothing to process for station [{traffic_station.code}] in interval " f"[{start_date} - {to_date}]") diff --git a/pollution_v2/src/common/model/__init__.py b/pollution_v2/src/common/model/__init__.py deleted file mode 100644 index 672438d8..00000000 --- a/pollution_v2/src/common/model/__init__.py +++ /dev/null @@ -1,4 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - diff --git a/pollution_v2/src/common/model/model.py b/pollution_v2/src/common/model/model.py deleted file mode 100644 index cc1e0f19..00000000 --- a/pollution_v2/src/common/model/model.py +++ /dev/null @@ -1,25 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from abc import ABC, abstractmethod -from typing import List - -from common.data_model import MeasureCollection -from common.data_model.entry import GenericEntry - - -class GenericModel(ABC): - """ - Abstract class representing a model able to compute data. - """ - - @abstractmethod - def compute_data(self, traffic_measure_collection: MeasureCollection) -> List[GenericEntry]: - """ - Compute the output measure given the available traffic measures - - :param traffic_measure_collection: A collection which contain all the available traffic measures - :return: A list of the new computed pollution measures - """ - pass diff --git a/pollution_v2/src/pollution_connector/manager/pollution_computation.py b/pollution_v2/src/pollution_connector/manager/pollution_computation.py index a87ec0cb..a236eb7d 100644 --- a/pollution_v2/src/pollution_connector/manager/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/manager/pollution_computation.py @@ -5,14 +5,17 @@ from __future__ import absolute_import, annotations import logging +from datetime import datetime from typing import List from common.cache.common import TrafficManagerClass +from common.cache.computation_checkpoint import ComputationCheckpoint from common.connector.common import ODHBaseConnector +from common.data_model import TrafficSensorStation, TrafficMeasureCollection +from common.data_model.entry import GenericEntry from common.manager.traffic_station import TrafficStationManager from common.data_model.common import DataType, MeasureCollection from common.data_model.pollution import PollutionMeasure, PollutionMeasureCollection, PollutionEntry -from common.model.model import GenericModel from pollution_connector.model.pollution_computation_model import PollutionComputationModel logger = logging.getLogger("pollution_v2.pollution_connector.manager.pollution_computation") @@ -26,9 +29,6 @@ class PollutionComputationManager(TrafficStationManager): def _get_manager_code(self) -> str: return TrafficManagerClass.POLLUTION.name - def _get_model(self) -> GenericModel: - return PollutionComputationModel() - def get_output_collector(self) -> ODHBaseConnector: return self._connector_collector.pollution @@ -36,6 +36,26 @@ def get_input_collector(self) -> ODHBaseConnector: # on v1 it would have been self._connector_collector.traffic return self._connector_collector.validation + # TODO must become ValidationMeasureCollection + def _download_data_and_compute(self, start_date: datetime, to_date: datetime, + traffic_station: TrafficSensorStation) -> List[GenericEntry]: + + input_data = [] + try: + input_data = self._download_input_data(start_date, to_date, traffic_station) + except Exception as e: + logger.exception( + f"Unable to download traffic data for station [{traffic_station.code}] " + f"in the interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", + exc_info=e) + + if input_data: + model = PollutionComputationModel() + # TODO should become ValidationMeasureCollection + return model.compute_data(TrafficMeasureCollection(input_data)) + + return [] + def _get_data_types(self) -> List[DataType]: return PollutionMeasure.get_data_types() diff --git a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py index ee009a9f..4520e6db 100644 --- a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py +++ b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py @@ -14,24 +14,16 @@ from common.data_model.common import VehicleClass from common.data_model.pollution import PollutionEntry, PollutantClass from common.data_model import TrafficMeasureCollection, TrafficEntry, TrafficSensorStation -from common.model.model import GenericModel from pollution_connector.model.CopertEmissions import copert_emissions logger = logging.getLogger("pollution_v2.pollution_connector.model.pollution_computation_model") -class PollutionComputationModel(GenericModel): +class PollutionComputationModel: """ The model for computing pollution data. """ - def __init__(self): - pass - - def _compute(self, traffic_df: pd.DataFrame) -> pd.DataFrame: - emissions_df = copert_emissions(traffic_df) - return emissions_df - @staticmethod def _get_traffic_dataframe(traffic_entries: Iterable[TrafficEntry]) -> pd.DataFrame: """ @@ -89,6 +81,7 @@ def _get_pollution_entries_from_df(pollution_df: pd.DataFrame, stations_dict: Di )) return pollution_entries + # TODO should become ValidationMeasureCollection def compute_data(self, validated_measure_collection: TrafficMeasureCollection) -> List[PollutionEntry]: """ Compute the pollution measure given the available traffic measures @@ -99,7 +92,7 @@ def compute_data(self, validated_measure_collection: TrafficMeasureCollection) - if len(validated_entries) > 0: validated_df = self._get_traffic_dataframe(validated_entries) - pollution_df = self._compute(validated_df) + pollution_df = copert_emissions(validated_df) return self._get_pollution_entries_from_df(pollution_df, validated_measure_collection.get_stations()) else: logger.info("0 validated entries found skipping pollution computation") diff --git a/pollution_v2/src/validator/manager/validation.py b/pollution_v2/src/validator/manager/validation.py index 8f3baf8e..1b79eb35 100644 --- a/pollution_v2/src/validator/manager/validation.py +++ b/pollution_v2/src/validator/manager/validation.py @@ -5,14 +5,17 @@ from __future__ import absolute_import, annotations import logging +from datetime import datetime from typing import List from common.cache.common import TrafficManagerClass from common.connector.common import ODHBaseConnector +from common.data_model import TrafficSensorStation, TrafficMeasureCollection +from common.data_model.entry import GenericEntry +from common.data_model.history import HistoryMeasureCollection from common.data_model.validation import ValidationMeasure, ValidationMeasureCollection, ValidationEntry from common.manager.traffic_station import TrafficStationManager from common.data_model.common import DataType, MeasureCollection -from common.model.model import GenericModel from validator.model.validation_model import ValidationModel logger = logging.getLogger("pollution_v2.validator.manager.validation") @@ -26,15 +29,49 @@ class ValidationManager(TrafficStationManager): def _get_manager_code(self) -> str: return TrafficManagerClass.VALIDATION.name - def _get_model(self) -> GenericModel: - return ValidationModel() - def get_output_collector(self) -> ODHBaseConnector: return self._connector_collector.validation def get_input_collector(self) -> ODHBaseConnector: return self._connector_collector.traffic + def _download_history_data(self, + from_date: datetime, + to_date: datetime, + traffic_station: TrafficSensorStation + ) -> HistoryMeasureCollection: + """ + Download history data measures in the given interval. + + :param from_date: History measures before this date are discarded if there isn't any latest measure available. + :param to_date: History measure after this date are discarded. + :return: The resulting HistoryMeasureCollection containing the traffic data. + """ + + return HistoryMeasureCollection(measures=self._connector_collector.history.get_measures(from_date=from_date, + to_date=to_date, + station=traffic_station)) + + def _download_data_and_compute(self, start_date: datetime, to_date: datetime, + traffic_station: TrafficSensorStation) -> List[GenericEntry]: + + history_data = [] + traffic_data = [] + try: + history_data = self._download_history_data(start_date, to_date, traffic_station) + traffic_data = self._download_input_data(start_date, to_date, traffic_station) + except Exception as e: + logger.exception( + f"Unable to download history and traffic data for station [{traffic_station.code}] " + f"in the interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", + exc_info=e) + + if history_data and traffic_data: + model = ValidationModel() + return model.compute_data(history_data, TrafficMeasureCollection(traffic_data)) + + return [] + def _get_data_types(self) -> List[DataType]: return ValidationMeasure.get_data_types() diff --git a/pollution_v2/src/validator/model/validation_model.py b/pollution_v2/src/validator/model/validation_model.py index 64aca7a9..b68f3a8b 100644 --- a/pollution_v2/src/validator/model/validation_model.py +++ b/pollution_v2/src/validator/model/validation_model.py @@ -8,25 +8,23 @@ from typing import List from common.data_model import TrafficMeasureCollection +from common.data_model.history import HistoryMeasureCollection from common.data_model.validation import ValidationEntry -from common.model.model import GenericModel logger = logging.getLogger("pollution_v2.validator.model.validation_model") -class ValidationModel(GenericModel): +class ValidationModel: """ The model for computing validation data. """ - def __init__(self): - pass - - def compute_data(self, traffic_measure_collection: TrafficMeasureCollection) -> List[ValidationEntry]: + def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasureCollection) -> List[ValidationEntry]: """ Compute the validation given the available traffic measures - :param traffic_measure_collection: A collection which contain all the available traffic measures + :param history: A collection which contain measures history + :param traffic: A collection which contain all the available traffic measures :return: A list of the new computed validation measures """ logger.warning("missing implementation!") From c905334cdaa91e3ff8291d4b9f5c6f54c53bc3a2 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Thu, 28 Mar 2024 18:17:35 +0100 Subject: [PATCH 050/154] pollution_v2: first successful call to validation algorithm and some refactoring more - issue #24 --- pollution_v2/.gitignore | 1 + pollution_v2/src/common/data_model/common.py | 59 ++++----- pollution_v2/src/common/data_model/entry.py | 12 +- pollution_v2/src/common/data_model/history.py | 39 +++--- .../src/common/data_model/pollution.py | 6 +- pollution_v2/src/common/data_model/station.py | 59 +++++++++ pollution_v2/src/common/data_model/traffic.py | 82 ++++--------- .../src/common/data_model/validation.py | 4 +- .../src/common/manager/traffic_station.py | 13 +- pollution_v2/src/common/model/__init__.py | 4 + pollution_v2/src/common/model/helper.py | 116 ++++++++++++++++++ pollution_v2/src/main_validation.py | 4 +- .../manager/pollution_computation.py | 1 - .../model/pollution_computation_model.py | 40 +----- pollution_v2/src/validator/Input.py | 2 +- pollution_v2/src/validator/Validator.py | 18 +-- .../src/validator/manager/validation.py | 7 +- .../src/validator/model/validation_model.py | 77 ++++++++++-- 18 files changed, 362 insertions(+), 182 deletions(-) create mode 100644 pollution_v2/src/common/data_model/station.py create mode 100644 pollution_v2/src/common/model/__init__.py create mode 100644 pollution_v2/src/common/model/helper.py diff --git a/pollution_v2/.gitignore b/pollution_v2/.gitignore index f4a7b5cc..dd899486 100644 --- a/pollution_v2/.gitignore +++ b/pollution_v2/.gitignore @@ -10,3 +10,4 @@ venv* celerybeat-schedule.db /sample_data/input/odh.db docker-compose.yaml.custom +/sample_data/odh.db diff --git a/pollution_v2/src/common/data_model/common.py b/pollution_v2/src/common/data_model/common.py index 1e25f094..66e2ec89 100644 --- a/pollution_v2/src/common/data_model/common.py +++ b/pollution_v2/src/common/data_model/common.py @@ -8,7 +8,7 @@ from dataclasses import dataclass, field from datetime import datetime from enum import Enum -from typing import TypeVar, Generic, List, Iterable, Optional, Dict, ClassVar +from typing import TypeVar, Generic, List, Optional, Dict, ClassVar import dateutil.parser @@ -196,34 +196,35 @@ class MeasureCollection(Generic[MeasureType, StationType]): measures: List[MeasureType] = field(default_factory=list) - def with_measure(self, measure: MeasureType) -> MeasureCollection: - """ - Add a new traffic sensor to the collection - - :param measure: the measure to add - :return: the updated collection - """ - self.measures.append(measure) - return self - - def with_measures(self, measures: Iterable[MeasureType]) -> MeasureCollection: - """ - Add a new traffic sensor to the collection - - :param measures: the measures to add - :return: the updated collection - """ - self.measures.extend(measures) - return self - - def get_measures_by_station(self, station: StationType) -> List[MeasureType]: - """ - Filter the available measure by the given station - - :param station: the station on which filter the measures - :return: the measures filtered by the given station - """ - return list(filter(lambda x: x.station == station, self.measures)) + # apparently unused + # def with_measure(self, measure: MeasureType) -> MeasureCollection: + # """ + # Add a new traffic sensor to the collection + # + # :param measure: the measure to add + # :return: the updated collection + # """ + # self.measures.append(measure) + # return self + # + # def with_measures(self, measures: Iterable[MeasureType]) -> MeasureCollection: + # """ + # Add a new traffic sensor to the collection + # + # :param measures: the measures to add + # :return: the updated collection + # """ + # self.measures.extend(measures) + # return self + # + # def get_measures_by_station(self, station: StationType) -> List[MeasureType]: + # """ + # Filter the available measure by the given station + # + # :param station: the station on which filter the measures + # :return: the measures filtered by the given station + # """ + # return list(filter(lambda x: x.station == station, self.measures)) def get_stations(self) -> Dict[str, StationType]: """ diff --git a/pollution_v2/src/common/data_model/entry.py b/pollution_v2/src/common/data_model/entry.py index 0578dc44..5257b0d1 100644 --- a/pollution_v2/src/common/data_model/entry.py +++ b/pollution_v2/src/common/data_model/entry.py @@ -7,18 +7,16 @@ from datetime import datetime from typing import Optional, TypeVar -from common.data_model.common import VehicleClass -from common.data_model.traffic import TrafficSensorStation +from common.data_model.station import TrafficSensorStation class GenericEntry: - - def __init__(self, station: TrafficSensorStation, valid_time: datetime, vehicle_class: VehicleClass, - entry_value: Optional[float], period: Optional[int]): + """ + Superclasse representing a basic ODH entry (to be extended in order to manage other fields) + """ + def __init__(self, station: TrafficSensorStation, valid_time: datetime, period: Optional[int]): self.station = station self.valid_time = valid_time - self.vehicle_class = vehicle_class - self.entry_value = entry_value self.period = period diff --git a/pollution_v2/src/common/data_model/history.py b/pollution_v2/src/common/data_model/history.py index 4b6f2ce6..14a64c7f 100644 --- a/pollution_v2/src/common/data_model/history.py +++ b/pollution_v2/src/common/data_model/history.py @@ -6,15 +6,13 @@ from dataclasses import dataclass from datetime import datetime -from enum import Enum -from typing import Optional, Dict, Iterator +from typing import Optional, Dict, Iterator, List import dateutil.parser -from common.data_model import TrafficSensorStation from common.data_model.common import Measure, MeasureCollection, DataType, Provenance - - +from common.data_model.entry import GenericEntry +from common.data_model.station import TrafficSensorStation @dataclass @@ -36,18 +34,17 @@ def from_odh_repr(cls, raw_data: dict): @dataclass -class HistoryEntry: - station: TrafficSensorStation - transaction_time: datetime - valid_time: datetime - nr_of_vehicles: int - period: Optional[int] +class HistoryEntry(GenericEntry): + + def __init__(self, station: TrafficSensorStation, valid_time: datetime, nr_of_vehicles: int, period: Optional[int]): + super().__init__(station, valid_time, period) + self.nr_of_vehicles = nr_of_vehicles @dataclass class HistoryMeasureCollection(MeasureCollection[HistoryMeasure, TrafficSensorStation]): - def _build_history_entries_dictionary(self) -> Dict[str, Dict[datetime, HistoryEntry]]: + def _build_entries_iterator(self) -> Iterator[HistoryEntry]: # A temporary dictionary used for faster aggregation of the results # The dictionary will have the following structure # StationCode -> (measure valid time -> (vehicle class -> TrafficEntry)) @@ -55,25 +52,23 @@ def _build_history_entries_dictionary(self) -> Dict[str, Dict[datetime, HistoryE for measure in self.measures: if measure.station.code not in result: result[measure.station.code] = {} - elif measure.valid_time in result[measure.station.code]: + if measure.valid_time not in result[measure.station.code]: entry = HistoryEntry( station=measure.station, - transaction_time=measure.transaction_time, valid_time=measure.valid_time, nr_of_vehicles=measure.value, period=measure.period ) result[measure.station.code][measure.valid_time] = entry - return result + for station_dict in result.values(): + for entry in station_dict.values(): + yield entry - def get_history_entries(self) -> Iterator[HistoryEntry]: + def get_entries(self) -> List[HistoryEntry]: """ - Build and retrieve the list of entry from the available measures + Build and retrieve the list of entries from the available measures - :return: an iterator of entries + :return: a list of entries """ - for station_dict in self._build_history_entries_dictionary().values(): - for date_dict in station_dict.values(): - for entry in date_dict.values(): - yield entry + return list(self._build_entries_iterator()) diff --git a/pollution_v2/src/common/data_model/pollution.py b/pollution_v2/src/common/data_model/pollution.py index bc8d7fac..709834d9 100644 --- a/pollution_v2/src/common/data_model/pollution.py +++ b/pollution_v2/src/common/data_model/pollution.py @@ -11,7 +11,7 @@ from common.data_model.common import VehicleClass, MeasureCollection, Measure, Provenance, DataType from common.data_model.entry import GenericEntry -from common.data_model.traffic import TrafficSensorStation +from common.data_model.station import TrafficSensorStation class PollutantClass(Enum): @@ -28,8 +28,10 @@ class PollutionEntry(GenericEntry): def __init__(self, station: TrafficSensorStation, valid_time: datetime, vehicle_class: VehicleClass, entry_class: PollutantClass, entry_value: Optional[float], period: Optional[int]): - super().__init__(station, valid_time, vehicle_class, entry_value, period) + super().__init__(station, valid_time, period) self.entry_class = entry_class + self.vehicle_class = vehicle_class + self.entry_value = entry_value class PollutionMeasure(Measure): diff --git a/pollution_v2/src/common/data_model/station.py b/pollution_v2/src/common/data_model/station.py new file mode 100644 index 00000000..d2b63c33 --- /dev/null +++ b/pollution_v2/src/common/data_model/station.py @@ -0,0 +1,59 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +from __future__ import absolute_import, annotations + +from dataclasses import dataclass + +import logging + +from common.data_model.common import Station + +logger = logging.getLogger("pollution_v2.common.data_model.station") + + +@dataclass +class TrafficSensorStation(Station): + """ + Class representing a traffic station + """ + + def split_station_code(self) -> (str, int, int): + """ + splits the station code using the pattern ID_strada:ID_stazione:ID_corsia and returns a tuple + with the following structure (ID_strada, ID_stazione, ID_corsia) + :return: + """ + splits = self.code.split(":") + if len(splits) != 3: + raise ValueError(f"Unable to split [{self.code}] in ID_strada:ID_stazione:ID_corsia") + return splits[0], int(splits[1]), int(splits[2]) + + @property + def id_strada(self) -> str: + id_strada, id_stazione, id_corsia = self.split_station_code() + return id_strada + + @property + def id_stazione(self) -> int: + id_strada, id_stazione, id_corsia = self.split_station_code() + return id_stazione + + @property + def id_corsia(self) -> int: + id_strada, id_stazione, id_corsia = self.split_station_code() + return id_corsia + + @classmethod + def from_json(cls, dict_data) -> TrafficSensorStation: + return TrafficSensorStation( + code=dict_data["code"], + active=dict_data["active"], + available=dict_data["available"], + coordinates=dict_data["coordinates"], + metadata=dict_data["metadata"], + name=dict_data["name"], + station_type=dict_data["station_type"], + origin=dict_data["origin"] + ) diff --git a/pollution_v2/src/common/data_model/traffic.py b/pollution_v2/src/common/data_model/traffic.py index 9fe7f6c7..7f497085 100644 --- a/pollution_v2/src/common/data_model/traffic.py +++ b/pollution_v2/src/common/data_model/traffic.py @@ -6,55 +6,14 @@ from dataclasses import dataclass from datetime import datetime -from typing import Optional, Dict, Iterator +from typing import Optional, Dict, Iterator, List import dateutil.parser -from common.data_model.common import VehicleClass, Measure, MeasureCollection, Station, DataType, \ +from common.data_model.common import VehicleClass, Measure, MeasureCollection, DataType, \ Provenance - - -@dataclass -class TrafficSensorStation(Station): - - def split_station_code(self) -> (str, int, int): - """ - splits the station code using the pattern ID_strada:ID_stazione:ID_corsia and returns a tuple - with the following structure (ID_strada, ID_stazione, ID_corsia) - :return: - """ - splits = self.code.split(":") - if len(splits) != 3: - raise ValueError(f"Unable to split [{self.code}] in ID_strada:ID_stazione:ID_corsia") - return splits[0], int(splits[1]), int(splits[2]) - - @property - def id_strada(self) -> str: - id_strada, id_stazione, id_corsia = self.split_station_code() - return id_strada - - @property - def id_stazione(self) -> int: - id_strada, id_stazione, id_corsia = self.split_station_code() - return id_stazione - - @property - def id_corsia(self) -> int: - id_strada, id_stazione, id_corsia = self.split_station_code() - return id_corsia - - @classmethod - def from_json(cls, dict_data) -> TrafficSensorStation: - return TrafficSensorStation( - code=dict_data["code"], - active=dict_data["active"], - available=dict_data["available"], - coordinates=dict_data["coordinates"], - metadata=dict_data["metadata"], - name=dict_data["name"], - station_type=dict_data["station_type"], - origin=dict_data["origin"] - ) +from common.data_model.entry import GenericEntry +from common.data_model.station import TrafficSensorStation @dataclass @@ -101,20 +60,21 @@ def is_average_speed_measure(self) -> bool: @dataclass -class TrafficEntry: - station: TrafficSensorStation - transaction_time: datetime - valid_time: datetime - vehicle_class: VehicleClass - nr_of_vehicles: Optional[int] - average_speed: Optional[float] - period: Optional[int] +class TrafficEntry(GenericEntry): + + def __init__(self, station: TrafficSensorStation, transaction_time: datetime, valid_time: datetime, + vehicle_class: VehicleClass, nr_of_vehicles: Optional[int], average_speed: Optional[float], period: Optional[int]): + super().__init__(station, valid_time, period) + self.transaction_time = transaction_time + self.vehicle_class = vehicle_class + self.nr_of_vehicles = nr_of_vehicles + self.average_speed = average_speed @dataclass class TrafficMeasureCollection(MeasureCollection[TrafficMeasure, TrafficSensorStation]): - def _build_traffic_entries_dictionary(self) -> Dict[str, Dict[datetime, Dict[VehicleClass, TrafficEntry]]]: + def _build_entries_dictionary(self) -> Dict[str, Dict[datetime, Dict[VehicleClass, TrafficEntry]]]: # A temporary dictionary used for faster aggregation of the results # The dictionary will have the following structure # StationCode -> (measure valid time -> (vehicle class -> TrafficEntry)) @@ -151,13 +111,21 @@ def _build_traffic_entries_dictionary(self) -> Dict[str, Dict[datetime, Dict[Veh return result - def get_traffic_entries(self) -> Iterator[TrafficEntry]: + def _get_entries_iterator(self) -> Iterator[TrafficEntry]: """ - Build and retrieve the list of traffic entry from the available measures + Build and retrieve the iterator for list of traffic entry from the available measures :return: an iterator of traffic entries """ - for station_dict in self._build_traffic_entries_dictionary().values(): + for station_dict in self._build_entries_dictionary().values(): for date_dict in station_dict.values(): for traffic_entry in date_dict.values(): yield traffic_entry + + def get_entries(self) -> List[TrafficEntry]: + """ + Build and retrieve the list of traffic entry from the available measures + + :return: a list of traffic entries + """ + return list(self._get_entries_iterator()) diff --git a/pollution_v2/src/common/data_model/validation.py b/pollution_v2/src/common/data_model/validation.py index 8e4baa7f..25324256 100644 --- a/pollution_v2/src/common/data_model/validation.py +++ b/pollution_v2/src/common/data_model/validation.py @@ -24,8 +24,10 @@ class ValidationEntry(GenericEntry): def __init__(self, station: TrafficSensorStation, valid_time: datetime, vehicle_class: VehicleClass, entry_class: ValidationTypeClass, entry_value: Optional[float], period: Optional[int]): - super().__init__(station, valid_time, vehicle_class, entry_value, period) + super().__init__(station, valid_time, period) self.entry_class = entry_class + self.vehicle_class = vehicle_class + self.entry_value = entry_value class ValidationMeasure(Measure): diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 38f6db0c..cd1d7367 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -9,12 +9,15 @@ from datetime import datetime, timedelta from typing import List, Optional +from pandas import DataFrame + from common.cache.computation_checkpoint import ComputationCheckpointCache, ComputationCheckpoint from common.connector.collector import ConnectorCollector from common.connector.common import ODHBaseConnector -from common.data_model import TrafficMeasureCollection, TrafficSensorStation, MeasureCollection, \ - Provenance, DataType, Measure +from common.data_model import TrafficSensorStation +from common.data_model.common import MeasureType, Provenance, DataType, MeasureCollection, Measure from common.data_model.entry import GenericEntry +from common.model.helper import ModelHelper from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE, ODH_COMPUTATION_BATCH_SIZE logger = logging.getLogger("pollution_v2.common.manager.traffic_station") @@ -170,7 +173,7 @@ def _download_input_data(self, from_date: datetime, to_date: datetime, traffic_station: TrafficSensorStation - ) -> MeasureCollection: + ) -> List[MeasureType]: """ Download traffic data measures in the given interval. @@ -179,9 +182,7 @@ def _download_input_data(self, :return: The resulting TrafficMeasureCollection containing the traffic data. """ - return MeasureCollection( - measures=self.get_input_collector().get_measures(from_date=from_date, to_date=to_date, - station=traffic_station)) + return self.get_input_collector().get_measures(from_date=from_date, to_date=to_date, station=traffic_station) def _upload_data(self, input_entries: List[GenericEntry]) -> None: """ diff --git a/pollution_v2/src/common/model/__init__.py b/pollution_v2/src/common/model/__init__.py new file mode 100644 index 00000000..672438d8 --- /dev/null +++ b/pollution_v2/src/common/model/__init__.py @@ -0,0 +1,4 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + diff --git a/pollution_v2/src/common/model/helper.py b/pollution_v2/src/common/model/helper.py new file mode 100644 index 00000000..ac35b874 --- /dev/null +++ b/pollution_v2/src/common/model/helper.py @@ -0,0 +1,116 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later +from typing import Iterable, List + +import pandas as pd +import json +import logging + +from common.data_model import TrafficSensorStation +from common.data_model.common import StationType +from common.data_model.history import HistoryEntry +from common.data_model.traffic import TrafficEntry + +logger = logging.getLogger("pollution_v2.common.model") + + +class ModelHelper: + + @staticmethod + def get_stations_dataframe(stations: dict[str, StationType]) -> pd.DataFrame: + """ + Get a dataframe from the given list of traffic stations. + The resulting dataframe will have the following columns: + station,km + + :param stations: the stations + :return: the station dataframe + """ + temp = [] + for entry in stations.values(): + + temp.append({ + "station_id": entry.id_stazione, + "station_code": entry.code, + "km": entry.km, + "station_type": entry.station_type + }) + + return pd.DataFrame(temp) + + @staticmethod + def get_traffic_dataframe(traffic_entries: Iterable[TrafficEntry]) -> pd.DataFrame: + """ + Get a dataframe from the given traffic entries. The resulting dataframe will have the following columns: + date,time,Location,Station,Lane,Category,Transits,Speed,km + + :param traffic_entries: the traffic entries + :return: the traffic dataframe + """ + temp = [] + for entry in traffic_entries: + + km = None + if "a22_metadata" in entry.station.metadata: + try: + meta: dict = json.loads(entry.station.metadata["a22_metadata"]) + km = meta.get("metro") + except Exception as e: + logger.warning(f"Unable to parse the KM data for station [{entry.station.code}], error [{e}]") + + temp.append({ + "date": entry.valid_time.date().isoformat(), + "time": entry.valid_time.time().isoformat(), + "Location": entry.station.id_strada, + "Station": entry.station.id_stazione, + "Lane": entry.station.id_corsia, + "Category": entry.vehicle_class.value, + "Transits": entry.nr_of_vehicles, + "Speed": entry.average_speed, + "Period": entry.period, + "KM": km + }) + + return pd.DataFrame(temp) + + @staticmethod + def get_traffic_dataframe_for_validation(traffic_entries: Iterable[TrafficEntry]) -> pd.DataFrame: + """ + Get a dataframe from the given traffic entries. The resulting dataframe will have the following columns: + time,value,station_code,variable + + :param traffic_entries: the traffic entries + :return: the traffic dataframe + """ + temp = [] + for entry in traffic_entries: + + temp.append({ + "time": entry.valid_time.time().isoformat(), + "value": entry.nr_of_vehicles, + "station_code": entry.station.code, + "variable": entry.vehicle_class.value + }) + + return pd.DataFrame(temp) + + @staticmethod + def get_history_dataframe(history_entries: Iterable[HistoryEntry]) -> pd.DataFrame: + """ + Get a dataframe from the given history entries. The resulting dataframe will have the following columns: + date,station_code,total_traffic + + :param history_entries: the history entries + :return: the history dataframe + """ + temp = [] + for entry in history_entries: + + temp.append({ + "date": entry.valid_time.date().isoformat(), + "station_code": entry.valid_time.time().isoformat(), + "total_traffic": entry.station.id_strada + }) + + return pd.DataFrame(temp) diff --git a/pollution_v2/src/main_validation.py b/pollution_v2/src/main_validation.py index b6369459..2a76f933 100644 --- a/pollution_v2/src/main_validation.py +++ b/pollution_v2/src/main_validation.py @@ -15,12 +15,10 @@ from common.cache.computation_checkpoint import ComputationCheckpointCache from common.connector.collector import ConnectorCollector -from common.data_model import Provenance -from common.logging import get_logging_configuration +from common.data_model.common import Provenance from common.settings import DEFAULT_TIMEZONE, SENTRY_SAMPLE_RATE, ODH_MINIMUM_STARTING_DATE, \ COMPUTATION_CHECKPOINT_REDIS_HOST, COMPUTATION_CHECKPOINT_REDIS_PORT, PROVENANCE_ID, PROVENANCE_LINEAGE, \ PROVENANCE_NAME, PROVENANCE_VERSION, COMPUTATION_CHECKPOINT_REDIS_DB -from pollution_connector.manager.pollution_computation import PollutionComputationManager from validator.manager.validation import ValidationManager logger = logging.getLogger("pollution_v2.main_validation") diff --git a/pollution_v2/src/pollution_connector/manager/pollution_computation.py b/pollution_v2/src/pollution_connector/manager/pollution_computation.py index a236eb7d..66a1e2a3 100644 --- a/pollution_v2/src/pollution_connector/manager/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/manager/pollution_computation.py @@ -9,7 +9,6 @@ from typing import List from common.cache.common import TrafficManagerClass -from common.cache.computation_checkpoint import ComputationCheckpoint from common.connector.common import ODHBaseConnector from common.data_model import TrafficSensorStation, TrafficMeasureCollection from common.data_model.entry import GenericEntry diff --git a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py index 4520e6db..149394c1 100644 --- a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py +++ b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py @@ -14,6 +14,7 @@ from common.data_model.common import VehicleClass from common.data_model.pollution import PollutionEntry, PollutantClass from common.data_model import TrafficMeasureCollection, TrafficEntry, TrafficSensorStation +from common.model.helper import ModelHelper from pollution_connector.model.CopertEmissions import copert_emissions logger = logging.getLogger("pollution_v2.pollution_connector.model.pollution_computation_model") @@ -24,41 +25,6 @@ class PollutionComputationModel: The model for computing pollution data. """ - @staticmethod - def _get_traffic_dataframe(traffic_entries: Iterable[TrafficEntry]) -> pd.DataFrame: - """ - Get a dataframe from the given traffic entries. The resulting dataframe will have the following columns: - date,time,Location,Station,Lane,Category,Transits,Speed,km - - :param traffic_entries: the traffic entries - :return: the traffic dataframe - """ - temp = [] - for entry in traffic_entries: - - km = None - if "a22_metadata" in entry.station.metadata: - try: - meta: dict = json.loads(entry.station.metadata["a22_metadata"]) - km = meta.get("metro") - except Exception as e: - logger.warning(f"Unable to parse the KM data for station [{entry.station.code}], error [{e}]") - - temp.append({ - "date": entry.valid_time.date().isoformat(), - "time": entry.valid_time.time().isoformat(), - "Location": entry.station.id_strada, - "Station": entry.station.id_stazione, - "Lane": entry.station.id_corsia, - "Category": entry.vehicle_class.value, - "Transits": entry.nr_of_vehicles, - "Speed": entry.average_speed, - "Period": entry.period, - "KM": km - }) - - return pd.DataFrame(temp) - @staticmethod def _get_pollution_entries_from_df(pollution_df: pd.DataFrame, stations_dict: Dict[str, TrafficSensorStation]) -> List[PollutionEntry]: """ @@ -88,10 +54,10 @@ def compute_data(self, validated_measure_collection: TrafficMeasureCollection) - :param validated_measure_collection: A collection which contain all the available and validated traffic measures :return: A list of the new computed pollution measures """ - validated_entries = list(validated_measure_collection.get_traffic_entries()) + validated_entries = validated_measure_collection.get_entries() if len(validated_entries) > 0: - validated_df = self._get_traffic_dataframe(validated_entries) + validated_df = ModelHelper.get_traffic_dataframe(validated_entries) pollution_df = copert_emissions(validated_df) return self._get_pollution_entries_from_df(pollution_df, validated_measure_collection.get_stations()) else: diff --git a/pollution_v2/src/validator/Input.py b/pollution_v2/src/validator/Input.py index 8eae9630..6444a6c1 100644 --- a/pollution_v2/src/validator/Input.py +++ b/pollution_v2/src/validator/Input.py @@ -44,7 +44,7 @@ def get_raw_data(self, raw_data): raw_data[['domain', 'station', 'lane']] = raw_data['station_code'].str.split(':', expand=True) raw_data['direction'] = raw_data['lane'].map({'1': 'NORD', '2': 'NORD', '3': 'SUD', '4': 'SUD', '5': 'NORD', '6': 'SUD'}) raw_data['station'] = raw_data['station'].astype(int) - raw_data['km'] = raw_data['station'].map(self.chilometriche) + raw_data['km'] = raw_data['station'].map(self.chilometriche.T.to_dict('list')) return raw_data def get_stations(self): diff --git a/pollution_v2/src/validator/Validator.py b/pollution_v2/src/validator/Validator.py index a461f5c4..19215494 100644 --- a/pollution_v2/src/validator/Validator.py +++ b/pollution_v2/src/validator/Validator.py @@ -2,8 +2,16 @@ # # SPDX-License-Identifier: AGPL-3.0-or-later +import pandas as pd + +from validator.Dominio import Dominio +from validator.Input import Input +from validator.Parametri import Parametri +from validator.Station import Station + + # Il metodo utilizzato per validare i dati per il giorno specificato -def validator(day, raw_data, history, km, station_type, config='../../config/validator.yaml'): +def validator(day, raw_data, history, km, station_type, config='../config/validator.yaml'): """ :param day: data per la quale validare i dati :param raw_data: dataframe con i dati grezzi @@ -16,11 +24,6 @@ def validator(day, raw_data, history, km, station_type, config='../../config/val # ------------------------------------------------------------------------- # Import Moduli # ------------------------------------------------------------------------- - from Parametri import Parametri - from Input import Input - from Dominio import Dominio - from Station import Station - import pandas as pd pd.options.mode.chained_assignment = None # ------------------------------------------------------------------------- @@ -40,7 +43,8 @@ def validator(day, raw_data, history, km, station_type, config='../../config/val print(f'...initializing data for day {day}') A22 = Dominio(data) for index, row in data.station_list.iterrows(): - if data.station_type[row['station']] != 'TVCC' or data.station_type[row['station']] != 'RADAR': + if (data.station_type.loc[row['station']]['station_type'] != 'TVCC' or + data.station_type.loc[row['station']]['station_type'] != 'RADAR'): # inizializza l'oggetto stazione e aggiungilo all'oggetto dominio s = Station(data.raw_data, data.history, row['station'], row['direction'], data.chilometriche, params.layer1('n')) diff --git a/pollution_v2/src/validator/manager/validation.py b/pollution_v2/src/validator/manager/validation.py index 1b79eb35..4f84fb74 100644 --- a/pollution_v2/src/validator/manager/validation.py +++ b/pollution_v2/src/validator/manager/validation.py @@ -8,11 +8,14 @@ from datetime import datetime from typing import List +from pandas import DataFrame + from common.cache.common import TrafficManagerClass from common.connector.common import ODHBaseConnector -from common.data_model import TrafficSensorStation, TrafficMeasureCollection +from common.data_model import TrafficSensorStation from common.data_model.entry import GenericEntry from common.data_model.history import HistoryMeasureCollection +from common.data_model.traffic import TrafficMeasureCollection from common.data_model.validation import ValidationMeasure, ValidationMeasureCollection, ValidationEntry from common.manager.traffic_station import TrafficStationManager from common.data_model.common import DataType, MeasureCollection @@ -68,7 +71,7 @@ def _download_data_and_compute(self, start_date: datetime, to_date: datetime, if history_data and traffic_data: model = ValidationModel() - return model.compute_data(history_data, TrafficMeasureCollection(traffic_data)) + return model.compute_data(history_data, TrafficMeasureCollection(traffic_data), traffic_station) return [] diff --git a/pollution_v2/src/validator/model/validation_model.py b/pollution_v2/src/validator/model/validation_model.py index b68f3a8b..f721724d 100644 --- a/pollution_v2/src/validator/model/validation_model.py +++ b/pollution_v2/src/validator/model/validation_model.py @@ -5,11 +5,17 @@ from __future__ import absolute_import, annotations import logging -from typing import List +from datetime import datetime +from typing import List, Dict -from common.data_model import TrafficMeasureCollection +from pandas import DataFrame + +from common.data_model import TrafficSensorStation, VehicleClass from common.data_model.history import HistoryMeasureCollection -from common.data_model.validation import ValidationEntry +from common.data_model.traffic import TrafficMeasureCollection +from common.data_model.validation import ValidationEntry, ValidationTypeClass +from common.model.helper import ModelHelper +from validator.Validator import validator logger = logging.getLogger("pollution_v2.validator.model.validation_model") @@ -19,14 +25,71 @@ class ValidationModel: The model for computing validation data. """ - def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasureCollection) -> List[ValidationEntry]: + def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasureCollection, + station: TrafficSensorStation) -> List[ValidationEntry]: """ Compute the validation given the available traffic measures :param history: A collection which contain measures history :param traffic: A collection which contain all the available traffic measures + :param station: A station to be processed :return: A list of the new computed validation measures """ - logger.warning("missing implementation!") - # TODO implement - return [] + + history_dates = {measure.valid_time.date() for measure in history.measures} + traffic_dates = {measure.valid_time.date() for measure in traffic.measures} + + if len(history_dates.difference(traffic_dates)) > 0: + logger.warning(f"Missing traffic data for the following dates [{history_dates.difference(traffic_dates)}] " + f"on station [{station.code}]") + if len(traffic_dates.difference(history_dates)) > 0: + logger.warning(f"Missing history data for the following dates [{traffic_dates.difference(history_dates)}] " + f"on station [{station.code}]") + + run_on_dates = history_dates.intersection(traffic_dates) + logger.info(f"Ready for processing validation on the following dates " + f"[{run_on_dates}] on station [{station.code}]") + + traffic_entries = traffic.get_entries() + history_entries = history.get_entries() + + stations_df = ModelHelper.get_stations_dataframe(traffic.get_stations()) + stations_df_validator = stations_df.copy().set_index("station_id") + + res = [] + if len(traffic_entries) > 0 and len(history_entries) > 0: + traffic_df = ModelHelper.get_traffic_dataframe_for_validation(traffic_entries) + history_df = ModelHelper.get_history_dataframe(history_entries) + for date in run_on_dates: + out_df = validator(date.strftime('%Y-%m-%d'), traffic_df, history_df, + stations_df_validator[['km']], stations_df_validator[['station_type']]) + lst = self._get_entries_from_df(out_df, date.strftime('%Y-%m-%d'), traffic.get_stations()) + res.extend(lst) + else: + logger.info("0 validated entries found skipping pollution computation") + return [] + + return res + + @staticmethod + def _get_entries_from_df(in_df: DataFrame, date: str, + stations_dict: Dict[str, TrafficSensorStation]) -> List[ValidationEntry]: + """ + Create a list of entries for the given dataframe. + + :param in_df: the dataframe + :param stations_dict: the stations related to the measures in the format station_code: Station + :return: the list of entries + """ + out_entries = [] + for _, row in in_df.iterrows(): + row['date'] = date + out_entries.append(ValidationEntry( + station=stations_dict[row['station_code']], + valid_time=datetime.fromisoformat(f"{row['date']}T{row['time']}"), + vehicle_class=VehicleClass(row["variable"]), + entry_class=ValidationTypeClass.VALID, + entry_value=row["is_valid"], + period=None + )) + return out_entries From 699048e3161af8ef6123085aff36f4449e26e286 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 29 Mar 2024 12:40:42 +0100 Subject: [PATCH 051/154] pollution_v2: different provenance for validation and pollution - issue #24 --- pollution_v2/src/common/settings.py | 2 ++ pollution_v2/src/dags/aiaas_pollution_computer.py | 11 ++++++----- pollution_v2/src/dags/aiaas_validator.py | 9 +++++---- pollution_v2/src/main_pollution_connector.py | 9 +++++---- pollution_v2/src/main_validation.py | 9 +++++---- 5 files changed, 23 insertions(+), 17 deletions(-) diff --git a/pollution_v2/src/common/settings.py b/pollution_v2/src/common/settings.py index 04d6d4af..8ecbeded 100644 --- a/pollution_v2/src/common/settings.py +++ b/pollution_v2/src/common/settings.py @@ -50,6 +50,8 @@ PROVENANCE_ID = os.getenv("PROVENANCE_ID") PROVENANCE_LINEAGE = os.getenv("PROVENANCE_LINEAGE", "u-hopper") PROVENANCE_NAME = os.getenv("PROVENANCE_NAME", "a22-pollutant-elaboration") +PROVENANCE_NAME_POLL_ELABORATION = os.getenv("PROVENANCE_NAME_POLL_ELABORATION", PROVENANCE_NAME) +PROVENANCE_NAME_VALIDATION = os.getenv("PROVENANCE_NAME_VALIDATION", PROVENANCE_NAME) PROVENANCE_VERSION = os.getenv("PROVENANCE_VERSION", "0.1.0") COMPUTATION_CHECKPOINT_REDIS_HOST = Variable.get("COMPUTATION_CHECKPOINT_REDIS_HOST", None) diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index e5d1e226..a159d8b3 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -14,10 +14,11 @@ from common.connector.collector import ConnectorCollector from common.data_model.common import Provenance from common.data_model import TrafficSensorStation -from common.settings import ODH_MINIMUM_STARTING_DATE, \ - COMPUTATION_CHECKPOINT_REDIS_DB, COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_HOST, \ - PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION, DAG_POLLUTION_EXECUTION_CRONTAB, \ - DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN, DEFAULT_TIMEZONE +from common.settings import (ODH_MINIMUM_STARTING_DATE, COMPUTATION_CHECKPOINT_REDIS_DB, + COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_HOST, + PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME_POLL_ELABORATION, + PROVENANCE_VERSION, DAG_POLLUTION_EXECUTION_CRONTAB, DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN, + DEFAULT_TIMEZONE) from pollution_connector.manager.pollution_computation import PollutionComputationManager # see https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dynamic-task-mapping.html @@ -78,7 +79,7 @@ def _init_manager() -> PollutionComputationManager: logger.info("Checkpoint cache disabled") connector_collector = ConnectorCollector.build_from_env() - provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION) + provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME_POLL_ELABORATION, PROVENANCE_VERSION) manager = PollutionComputationManager(connector_collector, provenance, checkpoint_cache) return manager diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py index d5a26326..e8843f27 100644 --- a/pollution_v2/src/dags/aiaas_validator.py +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -13,9 +13,10 @@ from dags.common import TrafficStationsDAG from common.connector.collector import ConnectorCollector from common.data_model import TrafficSensorStation, Provenance -from common.settings import ODH_MINIMUM_STARTING_DATE, DAG_VALIDATION_EXECUTION_CRONTAB, PROVENANCE_ID, \ - PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION, COMPUTATION_CHECKPOINT_REDIS_HOST, \ - COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_DB, DEFAULT_TIMEZONE +from common.settings import (ODH_MINIMUM_STARTING_DATE, DAG_VALIDATION_EXECUTION_CRONTAB, PROVENANCE_ID, + PROVENANCE_LINEAGE, PROVENANCE_NAME_VALIDATION, PROVENANCE_VERSION, + COMPUTATION_CHECKPOINT_REDIS_HOST, COMPUTATION_CHECKPOINT_REDIS_PORT, + COMPUTATION_CHECKPOINT_REDIS_DB, DEFAULT_TIMEZONE) from validator.manager.validation import ValidationManager # see https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dynamic-task-mapping.html @@ -76,7 +77,7 @@ def _init_manager() -> ValidationManager: logger.info("Checkpoint cache disabled") connector_collector = ConnectorCollector.build_from_env() - provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION) + provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME_VALIDATION, PROVENANCE_VERSION) manager = ValidationManager(connector_collector, provenance, checkpoint_cache) return manager diff --git a/pollution_v2/src/main_pollution_connector.py b/pollution_v2/src/main_pollution_connector.py index 130fdb27..448fa859 100644 --- a/pollution_v2/src/main_pollution_connector.py +++ b/pollution_v2/src/main_pollution_connector.py @@ -17,9 +17,10 @@ from common.connector.collector import ConnectorCollector from common.data_model import Provenance from common.logging import get_logging_configuration -from common.settings import DEFAULT_TIMEZONE, SENTRY_SAMPLE_RATE, ODH_MINIMUM_STARTING_DATE, \ - COMPUTATION_CHECKPOINT_REDIS_HOST, COMPUTATION_CHECKPOINT_REDIS_PORT, PROVENANCE_ID, PROVENANCE_LINEAGE, \ - PROVENANCE_NAME, PROVENANCE_VERSION, COMPUTATION_CHECKPOINT_REDIS_DB +from common.settings import (DEFAULT_TIMEZONE, SENTRY_SAMPLE_RATE, ODH_MINIMUM_STARTING_DATE, + COMPUTATION_CHECKPOINT_REDIS_HOST, COMPUTATION_CHECKPOINT_REDIS_PORT, PROVENANCE_ID, + PROVENANCE_LINEAGE, PROVENANCE_NAME_POLL_ELABORATION, PROVENANCE_VERSION, + COMPUTATION_CHECKPOINT_REDIS_DB) from pollution_connector.manager.pollution_computation import PollutionComputationManager logger = logging.getLogger("pollution_v2.main_pollution_connector") @@ -59,7 +60,7 @@ def compute_data(min_from_date: Optional[datetime] = None, logger.info("Checkpoint cache disabled") collector_connector = ConnectorCollector.build_from_env() - provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION) + provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME_POLL_ELABORATION, PROVENANCE_VERSION) manager = PollutionComputationManager(collector_connector, provenance, checkpoint_cache) manager.run_computation_and_upload_results(min_from_date, max_to_date) diff --git a/pollution_v2/src/main_validation.py b/pollution_v2/src/main_validation.py index 2a76f933..bde703aa 100644 --- a/pollution_v2/src/main_validation.py +++ b/pollution_v2/src/main_validation.py @@ -16,9 +16,10 @@ from common.cache.computation_checkpoint import ComputationCheckpointCache from common.connector.collector import ConnectorCollector from common.data_model.common import Provenance -from common.settings import DEFAULT_TIMEZONE, SENTRY_SAMPLE_RATE, ODH_MINIMUM_STARTING_DATE, \ - COMPUTATION_CHECKPOINT_REDIS_HOST, COMPUTATION_CHECKPOINT_REDIS_PORT, PROVENANCE_ID, PROVENANCE_LINEAGE, \ - PROVENANCE_NAME, PROVENANCE_VERSION, COMPUTATION_CHECKPOINT_REDIS_DB +from common.settings import (DEFAULT_TIMEZONE, SENTRY_SAMPLE_RATE, ODH_MINIMUM_STARTING_DATE, + COMPUTATION_CHECKPOINT_REDIS_HOST, COMPUTATION_CHECKPOINT_REDIS_PORT, PROVENANCE_ID, + PROVENANCE_LINEAGE, PROVENANCE_NAME_VALIDATION, PROVENANCE_VERSION, + COMPUTATION_CHECKPOINT_REDIS_DB) from validator.manager.validation import ValidationManager logger = logging.getLogger("pollution_v2.main_validation") @@ -58,7 +59,7 @@ def compute_data(min_from_date: Optional[datetime] = None, logger.info("Checkpoint cache disabled") collector_connector = ConnectorCollector.build_from_env() - provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION) + provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME_VALIDATION, PROVENANCE_VERSION) manager = ValidationManager(collector_connector, provenance, checkpoint_cache) manager.run_computation_and_upload_results(min_from_date, max_to_date) From dfae61c6d6163bf57ce6dfca38bc49e019427c57 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 29 Mar 2024 14:15:00 +0100 Subject: [PATCH 052/154] pollution_v2: more adjustments on validation - issue #24 --- pollution_v2/src/common/model/helper.py | 37 ++++++++++--------- .../src/validator/manager/validation.py | 3 ++ .../src/validator/model/validation_model.py | 30 +++++++++------ 3 files changed, 42 insertions(+), 28 deletions(-) diff --git a/pollution_v2/src/common/model/helper.py b/pollution_v2/src/common/model/helper.py index ac35b874..09a283e4 100644 --- a/pollution_v2/src/common/model/helper.py +++ b/pollution_v2/src/common/model/helper.py @@ -1,13 +1,14 @@ # SPDX-FileCopyrightText: NOI Techpark # # SPDX-License-Identifier: AGPL-3.0-or-later -from typing import Iterable, List + +from datetime import date +from typing import Iterable import pandas as pd import json import logging -from common.data_model import TrafficSensorStation from common.data_model.common import StationType from common.data_model.history import HistoryEntry from common.data_model.traffic import TrafficEntry @@ -75,42 +76,44 @@ def get_traffic_dataframe(traffic_entries: Iterable[TrafficEntry]) -> pd.DataFra return pd.DataFrame(temp) @staticmethod - def get_traffic_dataframe_for_validation(traffic_entries: Iterable[TrafficEntry]) -> pd.DataFrame: + def get_traffic_dataframe_for_validation(traffic_entries: Iterable[TrafficEntry], date: date) -> pd.DataFrame: """ Get a dataframe from the given traffic entries. The resulting dataframe will have the following columns: time,value,station_code,variable :param traffic_entries: the traffic entries + :param date: the date to filter on :return: the traffic dataframe """ temp = [] for entry in traffic_entries: - - temp.append({ - "time": entry.valid_time.time().isoformat(), - "value": entry.nr_of_vehicles, - "station_code": entry.station.code, - "variable": entry.vehicle_class.value - }) + if date == entry.valid_time.date(): + temp.append({ + "time": entry.valid_time.time().isoformat(), + "value": entry.nr_of_vehicles, + "station_code": entry.station.code, + "variable": entry.vehicle_class.value + }) return pd.DataFrame(temp) @staticmethod - def get_history_dataframe(history_entries: Iterable[HistoryEntry]) -> pd.DataFrame: + def get_history_dataframe(history_entries: Iterable[HistoryEntry], date: date) -> pd.DataFrame: """ Get a dataframe from the given history entries. The resulting dataframe will have the following columns: date,station_code,total_traffic :param history_entries: the history entries + :param date: the date to filter on :return: the history dataframe """ temp = [] for entry in history_entries: - - temp.append({ - "date": entry.valid_time.date().isoformat(), - "station_code": entry.valid_time.time().isoformat(), - "total_traffic": entry.station.id_strada - }) + if date == entry.valid_time.date(): + temp.append({ + "date": entry.valid_time.date().isoformat(), + "station_code": entry.valid_time.time().isoformat(), + "total_traffic": entry.station.id_strada + }) return pd.DataFrame(temp) diff --git a/pollution_v2/src/validator/manager/validation.py b/pollution_v2/src/validator/manager/validation.py index 4f84fb74..f8f914df 100644 --- a/pollution_v2/src/validator/manager/validation.py +++ b/pollution_v2/src/validator/manager/validation.py @@ -19,6 +19,7 @@ from common.data_model.validation import ValidationMeasure, ValidationMeasureCollection, ValidationEntry from common.manager.traffic_station import TrafficStationManager from common.data_model.common import DataType, MeasureCollection +from common.settings import DEFAULT_TIMEZONE from validator.model.validation_model import ValidationModel logger = logging.getLogger("pollution_v2.validator.manager.validation") @@ -51,6 +52,8 @@ def _download_history_data(self, :return: The resulting HistoryMeasureCollection containing the traffic data. """ + # set time to midnight otherwise you'll miss today's value + from_date = DEFAULT_TIMEZONE.localize(datetime.combine(from_date, datetime.min.time())) return HistoryMeasureCollection(measures=self._connector_collector.history.get_measures(from_date=from_date, to_date=to_date, station=traffic_station)) diff --git a/pollution_v2/src/validator/model/validation_model.py b/pollution_v2/src/validator/model/validation_model.py index f721724d..d12a3cce 100644 --- a/pollution_v2/src/validator/model/validation_model.py +++ b/pollution_v2/src/validator/model/validation_model.py @@ -40,15 +40,20 @@ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasur traffic_dates = {measure.valid_time.date() for measure in traffic.measures} if len(history_dates.difference(traffic_dates)) > 0: + unprocessed_records = [measure.valid_time.date() for measure in traffic.measures + if measure.valid_time.date() in history_dates.difference(traffic_dates)] logger.warning(f"Missing traffic data for the following dates [{history_dates.difference(traffic_dates)}] " - f"on station [{station.code}]") + f"on station [{station.code}]: {len(unprocessed_records)} " + f"records will not be processed") if len(traffic_dates.difference(history_dates)) > 0: + unprocessed_records = [measure.valid_time.date() for measure in traffic.measures + if measure.valid_time.date() in traffic_dates.difference(history_dates)] logger.warning(f"Missing history data for the following dates [{traffic_dates.difference(history_dates)}] " - f"on station [{station.code}]") + f"on station [{station.code}]: {len(unprocessed_records)} " + f"records will not be processed") run_on_dates = history_dates.intersection(traffic_dates) - logger.info(f"Ready for processing validation on the following dates " - f"[{run_on_dates}] on station [{station.code}]") + logger.info(f"Ready to process validation on the following dates [{run_on_dates}]") traffic_entries = traffic.get_entries() history_entries = history.get_entries() @@ -56,14 +61,18 @@ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasur stations_df = ModelHelper.get_stations_dataframe(traffic.get_stations()) stations_df_validator = stations_df.copy().set_index("station_id") + # TODO coming from algorithm? + period = 600 + res = [] if len(traffic_entries) > 0 and len(history_entries) > 0: - traffic_df = ModelHelper.get_traffic_dataframe_for_validation(traffic_entries) - history_df = ModelHelper.get_history_dataframe(history_entries) for date in run_on_dates: + traffic_df = ModelHelper.get_traffic_dataframe_for_validation(traffic_entries, date) + logger.info(f"Startig validation on {len(traffic_df)} traffic records on station [{station.code}]") + history_df = ModelHelper.get_history_dataframe(history_entries, date) out_df = validator(date.strftime('%Y-%m-%d'), traffic_df, history_df, stations_df_validator[['km']], stations_df_validator[['station_type']]) - lst = self._get_entries_from_df(out_df, date.strftime('%Y-%m-%d'), traffic.get_stations()) + lst = self._get_entries_from_df(out_df, date.strftime('%Y-%m-%d'), period, traffic.get_stations()) res.extend(lst) else: logger.info("0 validated entries found skipping pollution computation") @@ -72,7 +81,7 @@ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasur return res @staticmethod - def _get_entries_from_df(in_df: DataFrame, date: str, + def _get_entries_from_df(in_df: DataFrame, date: str, period: int, stations_dict: Dict[str, TrafficSensorStation]) -> List[ValidationEntry]: """ Create a list of entries for the given dataframe. @@ -83,13 +92,12 @@ def _get_entries_from_df(in_df: DataFrame, date: str, """ out_entries = [] for _, row in in_df.iterrows(): - row['date'] = date out_entries.append(ValidationEntry( station=stations_dict[row['station_code']], - valid_time=datetime.fromisoformat(f"{row['date']}T{row['time']}"), + valid_time=datetime.fromisoformat(f"{date}T{row['time']}"), vehicle_class=VehicleClass(row["variable"]), entry_class=ValidationTypeClass.VALID, entry_value=row["is_valid"], - period=None + period=period )) return out_entries From c64dc58ae6167e1b2e5c5cdbf7a1217af070037e Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 29 Mar 2024 15:37:53 +0100 Subject: [PATCH 053/154] pollution_v2: validator dag running - issue #24 --- pollution_v2/src/common/connector/common.py | 10 +-- .../src/common/data_model/validation.py | 61 ++++++++++++++++++- .../src/common/manager/traffic_station.py | 11 ++-- pollution_v2/src/common/settings.py | 1 + pollution_v2/{ => src}/config/validator.yaml | 0 pollution_v2/src/dags/aiaas_validator.py | 10 ++- pollution_v2/src/validator/Validator.py | 8 ++- .../src/validator/model/validation_model.py | 4 +- 8 files changed, 85 insertions(+), 20 deletions(-) rename pollution_v2/{ => src}/config/validator.yaml (100%) diff --git a/pollution_v2/src/common/connector/common.py b/pollution_v2/src/common/connector/common.py index 09fa98fc..1a4906d9 100644 --- a/pollution_v2/src/common/connector/common.py +++ b/pollution_v2/src/common/connector/common.py @@ -314,9 +314,9 @@ def get_latest_measures(self, station: Optional[Station or str] = None) -> List[ else: raise TypeError(f"Unable to handle a parameter of type [{type(station)}] as station") query_params["where"] = f'scode.eq."{code}"' - logger.info(f"Retrieving latest measures for station [{code}] on [{type(self).__name__}]") + logger.info(f"Retrieving latest measures on [{type(self).__name__}] for station [{code}]") else: - logger.info("Retrieving latest measures for all stations") + logger.info("Retrieving latest measures on [{type(self).__name__}] for all stations") raw_measures = self._get_result_list( path=f"/v2/flat,node/{self._station_type}/{','.join(self._measure_types)}/latest", @@ -349,9 +349,11 @@ def get_measures(self, from_date: datetime, to_date: datetime, station: Optional else: raise TypeError(f"Unable to handle a parameter of type [{type(station)}] as station") query_params["where"] = f'scode.eq."{code}"' - logger.info(f"Retrieving measures from date [{iso_from_date}] to date [{iso_to_date}] for station [{code}]") + logger.info(f"Retrieving measures on [{type(self).__name__}] from date [{iso_from_date}] " + f"to date [{iso_to_date}] for station [{code}]") else: - logger.info(f"Retrieving measures from date [{iso_from_date}] to date [{iso_to_date}] for all stations") + logger.info(f"Retrieving measures on [{type(self).__name__}] from date [{iso_from_date}] " + f"to date [{iso_to_date}] for all stations") raw_measures = self._get_result_list( path=f"/v2/flat,node/{self._station_type}/{','.join(self._measure_types)}/{iso_from_date}/{iso_to_date}", diff --git a/pollution_v2/src/common/data_model/validation.py b/pollution_v2/src/common/data_model/validation.py index 25324256..426f4bd6 100644 --- a/pollution_v2/src/common/data_model/validation.py +++ b/pollution_v2/src/common/data_model/validation.py @@ -7,11 +7,11 @@ from dataclasses import dataclass from datetime import datetime from enum import Enum -from typing import Optional, List, Dict +from typing import Optional, List, Dict, Iterator from common.data_model.common import VehicleClass, MeasureCollection, Measure, Provenance, DataType from common.data_model.entry import GenericEntry -from common.data_model.traffic import TrafficSensorStation +from common.data_model.traffic import TrafficSensorStation, TrafficEntry class ValidationTypeClass(Enum): @@ -72,3 +72,60 @@ def build_from_validation_entries(validation_entries: List[ValidationEntry], )) return ValidationMeasureCollection(validation_measures) + + def _build_entries_dictionary(self) -> Dict[str, Dict[datetime, Dict[VehicleClass, ValidationEntry]]]: + # A temporary dictionary used for faster aggregation of the results + # The dictionary will have the following structure + # StationCode -> (measure valid time -> (vehicle class -> TrafficEntry)) + result: Dict[str, Dict[datetime, Dict[VehicleClass, ValidationEntry]]] = {} + for measure in self.measures: + if measure.station.code not in result: + result[measure.station.code] = {} + if measure.valid_time not in result[measure.station.code]: + result[measure.station.code][measure.valid_time] = {} + if measure.vehicle_class not in result[measure.station.code][measure.valid_time]: + entry = ValidationEntry( + station=measure.station, + valid_time=measure.valid_time, + vehicle_class=measure.vehicle_class, + entry_class=None, + entry_value=None, + period=measure.period + ) + result[measure.station.code][measure.valid_time][measure.vehicle_class] = entry + else: + entry = result[measure.station.code][measure.valid_time][measure.vehicle_class] + + if measure.is_vehicle_counting_measure: + if entry.nr_of_vehicles is not None: + raise ValueError( + f"Duplicated measure for type [{measure.data_type.name}] on station [{measure.station.code} for date [{measure.valid_time}]") + entry.nr_of_vehicles = measure.value + elif measure.is_average_speed_measure: + if entry.average_speed is not None: + raise ValueError( + f"Duplicated measure for type [{measure.data_type.name}] on station [{measure.station.code} for date [{measure.valid_time}]") + entry.average_speed = measure.value + + return result + + # TODO unify on parent! + def _get_entries_iterator(self) -> Iterator[TrafficEntry]: + """ + Build and retrieve the iterator for list of traffic entry from the available measures + + :return: an iterator of traffic entries + """ + for station_dict in self._build_entries_dictionary().values(): + for date_dict in station_dict.values(): + for traffic_entry in date_dict.values(): + yield traffic_entry + + # TODO unify on parent! + def get_entries(self) -> List[TrafficEntry]: + """ + Build and retrieve the list of traffic entry from the available measures + + :return: a list of traffic entries + """ + return list(self._get_entries_iterator()) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index cd1d7367..58a55256 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -91,14 +91,14 @@ def get_starting_date(self, connector: ODHBaseConnector, traffic_station: Traffi :param min_from_date: The minimum date to start from. :return: Computation starting date. """ - logger.info(f"Looking for latest measures available for station [{traffic_station.code}] " - f"on [{type(connector).__name__}]") + logger.info(f"Looking for latest measures available on [{type(connector).__name__}] " + f"for station [{traffic_station.code}] ") latest_measure = self.__get_latest_measure(connector, traffic_station) if latest_measure is None: - logger.info(f"No measures available for station [{traffic_station.code}] on [{type(connector).__name__}]") + logger.info(f"No measures available on [{type(connector).__name__}] for station [{traffic_station.code}]") if self._checkpoint_cache is not None: logger.info( - f"Looking on checkpoints for station [{traffic_station.code}] on [{type(connector).__name__}]") + f"Looking on checkpoints on [{type(connector).__name__}] for station [{traffic_station.code}]") checkpoint = self._checkpoint_cache.get(ComputationCheckpoint.get_id_for_station(traffic_station, self._get_manager_code())) if checkpoint is not None: @@ -125,6 +125,9 @@ def get_starting_date(self, connector: ODHBaseConnector, traffic_station: Traffi if from_date.tzinfo is None: from_date = DEFAULT_TIMEZONE.localize(from_date) + if min_from_date.tzinfo is None: + min_from_date = DEFAULT_TIMEZONE.localize(min_from_date) + if from_date.microsecond: from_date = from_date.replace(microsecond=0) diff --git a/pollution_v2/src/common/settings.py b/pollution_v2/src/common/settings.py index 8ecbeded..969f0132 100644 --- a/pollution_v2/src/common/settings.py +++ b/pollution_v2/src/common/settings.py @@ -39,6 +39,7 @@ DAG_POLLUTION_EXECUTION_CRONTAB = Variable.get("DAG_POLLUTION_EXECUTION_CRONTAB", "0 0 * * *") DAG_VALIDATION_EXECUTION_CRONTAB = Variable.get("DAG_VALIDATION_EXECUTION_CRONTAB", "0 0 * * *") DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN = int(Variable.get("DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN", 24)) +DAG_VALIDATION_TRIGGER_DAG_HOURS_SPAN = int(Variable.get("DAG_VALIDATION_TRIGGER_DAG_HOURS_SPAN", 24)) # Requests management REQUESTS_TIMEOUT = float(os.getenv("REQUESTS_TIMEOUT", 300)) diff --git a/pollution_v2/config/validator.yaml b/pollution_v2/src/config/validator.yaml similarity index 100% rename from pollution_v2/config/validator.yaml rename to pollution_v2/src/config/validator.yaml diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py index e8843f27..d768da38 100644 --- a/pollution_v2/src/dags/aiaas_validator.py +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -16,7 +16,7 @@ from common.settings import (ODH_MINIMUM_STARTING_DATE, DAG_VALIDATION_EXECUTION_CRONTAB, PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME_VALIDATION, PROVENANCE_VERSION, COMPUTATION_CHECKPOINT_REDIS_HOST, COMPUTATION_CHECKPOINT_REDIS_PORT, - COMPUTATION_CHECKPOINT_REDIS_DB, DEFAULT_TIMEZONE) + COMPUTATION_CHECKPOINT_REDIS_DB, DEFAULT_TIMEZONE, DAG_VALIDATION_TRIGGER_DAG_HOURS_SPAN) from validator.manager.validation import ValidationManager # see https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dynamic-task-mapping.html @@ -61,7 +61,6 @@ default_args=default_args ) as dag: - def _init_manager() -> ValidationManager: """ Inits what needed for the computation of a batch of pollution data measures. @@ -81,6 +80,7 @@ def _init_manager() -> ValidationManager: manager = ValidationManager(connector_collector, provenance, checkpoint_cache) return manager + @task def get_stations_list(**kwargs) -> list[dict]: """ @@ -118,8 +118,7 @@ def process_station(station_dict: dict, **kwargs): computation_start_dt = datetime.now() logger.info(f"Running validation from [{min_from_date}] to [{max_to_date}]") - - # TODO: implement validation + manager.run_computation_for_station(station, min_from_date, max_to_date) computation_end_dt = datetime.now() logger.info(f"Completed validation in [{(computation_end_dt - computation_start_dt).seconds}]") @@ -142,8 +141,7 @@ def has_remaining_data(starting_date: datetime, ending_date: datetime) -> bool: :param ending_date: the date on which data availability ends :return: true if there are enought data to run another DAG on this station """ - # TODO implement - return False + return (ending_date - starting_date).total_seconds() / 3600 > DAG_VALIDATION_TRIGGER_DAG_HOURS_SPAN dag.trigger_next_dag_run(manager, dag, has_remaining_data, **kwargs) diff --git a/pollution_v2/src/validator/Validator.py b/pollution_v2/src/validator/Validator.py index 19215494..f77b250b 100644 --- a/pollution_v2/src/validator/Validator.py +++ b/pollution_v2/src/validator/Validator.py @@ -2,6 +2,8 @@ # # SPDX-License-Identifier: AGPL-3.0-or-later +import os + import pandas as pd from validator.Dominio import Dominio @@ -9,9 +11,11 @@ from validator.Parametri import Parametri from validator.Station import Station +default_config_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '../config/validator.yaml')) + # Il metodo utilizzato per validare i dati per il giorno specificato -def validator(day, raw_data, history, km, station_type, config='../config/validator.yaml'): +def validator(day, raw_data, history, km, station_type, config=default_config_path): """ :param day: data per la quale validare i dati :param raw_data: dataframe con i dati grezzi @@ -44,7 +48,7 @@ def validator(day, raw_data, history, km, station_type, config='../config/valida A22 = Dominio(data) for index, row in data.station_list.iterrows(): if (data.station_type.loc[row['station']]['station_type'] != 'TVCC' or - data.station_type.loc[row['station']]['station_type'] != 'RADAR'): + data.station_type.loc[row['station']]['station_type'] != 'RADAR'): # inizializza l'oggetto stazione e aggiungilo all'oggetto dominio s = Station(data.raw_data, data.history, row['station'], row['direction'], data.chilometriche, params.layer1('n')) diff --git a/pollution_v2/src/validator/model/validation_model.py b/pollution_v2/src/validator/model/validation_model.py index d12a3cce..dd520999 100644 --- a/pollution_v2/src/validator/model/validation_model.py +++ b/pollution_v2/src/validator/model/validation_model.py @@ -53,7 +53,7 @@ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasur f"records will not be processed") run_on_dates = history_dates.intersection(traffic_dates) - logger.info(f"Ready to process validation on the following dates [{run_on_dates}]") + logger.info(f"Ready to process validation on the following dates [{sorted(run_on_dates)}]") traffic_entries = traffic.get_entries() history_entries = history.get_entries() @@ -68,7 +68,7 @@ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasur if len(traffic_entries) > 0 and len(history_entries) > 0: for date in run_on_dates: traffic_df = ModelHelper.get_traffic_dataframe_for_validation(traffic_entries, date) - logger.info(f"Startig validation on {len(traffic_df)} traffic records on station [{station.code}]") + logger.info(f"Starting validation on {len(traffic_df)} traffic records on station [{station.code}]") history_df = ModelHelper.get_history_dataframe(history_entries, date) out_df = validator(date.strftime('%Y-%m-%d'), traffic_df, history_df, stations_df_validator[['km']], stations_df_validator[['station_type']]) From 5067d8cdeb711e09423cfb915706f7b445de482c Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Tue, 2 Apr 2024 12:44:37 +0200 Subject: [PATCH 054/154] pollution_v2: minimal changes - issue #24 --- pollution_v2/README.md | 23 ++++++++++++++-- pollution_v2/src/common/connector/common.py | 27 ++++++++++++------- pollution_v2/src/common/data_model/traffic.py | 6 +++-- .../src/common/data_model/validation.py | 6 +++-- .../src/common/manager/traffic_station.py | 3 --- 5 files changed, 47 insertions(+), 18 deletions(-) diff --git a/pollution_v2/README.md b/pollution_v2/README.md index afba85bf..f7bae230 100644 --- a/pollution_v2/README.md +++ b/pollution_v2/README.md @@ -249,7 +249,26 @@ Use the following commands (could be necessary to use `docker-compose` on older #### Computation checkpoint By setting the *COMPUTATION_CHECKPOINT_REDIS_HOST* variable to a valid Redis server, the computation checkpoints will be enabled. -The computation checkpoint store the final date of the last computed interval of data for a station. The checkpoint is used +The computation checkpoint stores the final date of the last computed interval of data for a station. The checkpoint is used as a starting date for the next computation if the station has no pollution data associated. This feature has been implemented to avoid attempting a recalculation, at each execution of the task, of all -the historical data of the stations that have only invalid data for this library +the historical data of the stations that have only invalid data for this library. + +We can use the Redis host made available by airflow when building its containers. The environment variable +(taken from `docker-compose.yaml`) dictating the redis host used by airflow is: + +`AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0` + +This is standard for Airflow and means it connects to Redis host at port 6379, with database 0. +Redis supports up to 16 databases, and they are independent from each other. +Therefore we can use the redis host already present to check for the computation error, we just need to use a different database. +We can use these environment variables (db is set to 10, but needs only to be different from 0): + +`AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'redis' +AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 +AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 10` + +By using these settings, the computations persist when errors on the data were found. +When a task could not compute the validation or pollution computation, it updated the redis cache with the next +date to retrieve data and then finished with MARK=SUCCESS, thus not breaking the flow of task executions. +The next planned task for that station retrieves the date available from cache and continues the computation from there. diff --git a/pollution_v2/src/common/connector/common.py b/pollution_v2/src/common/connector/common.py index 1a4906d9..53ad4db8 100644 --- a/pollution_v2/src/common/connector/common.py +++ b/pollution_v2/src/common/connector/common.py @@ -138,7 +138,8 @@ def _refresh_token(self) -> None: if not self._token or self._token.is_refresh_toke_expired: logger.info("Requesting new token") self._token = Token.from_repr( - self._keycloak_openid.token(username=self._username, password=self._password, grant_type=self._grant_type) + self._keycloak_openid.token(username=self._username, password=self._password, + grant_type=self._grant_type) ) elif self._token.refresh_token: logger.info("Refresh current access token") @@ -203,7 +204,8 @@ def _get_request(self, path: str, query_params: Optional[dict] = None) -> dict o raise MaximumRetryExceeded() - def _get_result_page(self, path: str, limit: int, offset: int, query_params: Optional[dict] = None) -> (list, int, int): + def _get_result_page(self, path: str, limit: int, offset: int, query_params: Optional[dict] = None) -> ( + list, int, int): """ Request a result page from a paginated endpoint. @@ -248,9 +250,10 @@ def _get_result_list(self, path: str, query_params: Optional[dict] = None) -> Li if limit == -1: logger.debug("Retrieving all elements") else: - logger.debug(f"Retrieving page [{offset} - {offset+limit}]") + logger.debug(f"Retrieving page [{offset} - {offset + limit}]") - new_results, limit, offset = self._get_result_page(path, limit=limit, offset=offset, query_params=query_params) + new_results, limit, offset = self._get_result_page(path, limit=limit, offset=offset, + query_params=query_params) results.extend(new_results) if limit == -1: @@ -362,7 +365,8 @@ def get_measures(self, from_date: datetime, to_date: datetime, station: Optional return [self.build_measure(raw_measure) for raw_measure in raw_measures] - def _post_request(self, path: str, raw_data: dict or list, query_params: Optional[dict] = None) -> str or dict or list: + def _post_request(self, path: str, raw_data: dict or list, + query_params: Optional[dict] = None) -> str or dict or list: """ Perform a post request to the ODH. @@ -445,7 +449,8 @@ def post_data_types(self, data_types: List[DataType], provenance: Provenance) -> else: for index in range(len(data_types) // self._max_batch_size + 1): if index < len(data_types) // self._max_batch_size: - self._post_data_type_batch(data_types[index * self._max_batch_size: (index + 1) * self._max_batch_size], provenance) + self._post_data_type_batch( + data_types[index * self._max_batch_size: (index + 1) * self._max_batch_size], provenance) else: if len(data_types) > index * self._max_batch_size: self._post_data_type_batch(data_types[index * self._max_batch_size:], provenance) @@ -476,9 +481,11 @@ def _post_measure_batch(self, measures: List[MeasureType]) -> None: measures_dict[measure.provenance.provenance_id][measure.station.code] = {} if measure.data_type.name not in measures_dict[measure.provenance.provenance_id][measure.station.code]: - measures_dict[measure.provenance.provenance_id][measure.station.code][measure.data_type.name] = [measure] + measures_dict[measure.provenance.provenance_id][measure.station.code][measure.data_type.name] = [ + measure] else: - measures_dict[measure.provenance.provenance_id][measure.station.code][measure.data_type.name].append(measure) + measures_dict[measure.provenance.provenance_id][measure.station.code][measure.data_type.name].append( + measure) if len(measures_dict.keys()) > 1: logger.error("Measures have more than one provenance") @@ -500,7 +507,9 @@ def _post_measure_batch(self, measures: List[MeasureType]) -> None: data_map["branch"][station_code]["branch"][data_type_name] = { "name": "(default)", "branch": {}, - "data": [data_point.to_odh_repr() for data_point in measures_dict[provenance_id][station_code][data_type_name]] # Send data to ODH in chronological order + # Send data to ODH in chronological order + "data": [data_point.to_odh_repr() for data_point in + measures_dict[provenance_id][station_code][data_type_name]] } self._post_request(f"/json/pushRecords/{self._station_type}", data_map) diff --git a/pollution_v2/src/common/data_model/traffic.py b/pollution_v2/src/common/data_model/traffic.py index 7f497085..cfa064ae 100644 --- a/pollution_v2/src/common/data_model/traffic.py +++ b/pollution_v2/src/common/data_model/traffic.py @@ -101,12 +101,14 @@ def _build_entries_dictionary(self) -> Dict[str, Dict[datetime, Dict[VehicleClas if measure.is_vehicle_counting_measure: if entry.nr_of_vehicles is not None: raise ValueError( - f"Duplicated measure for type [{measure.data_type.name}] on station [{measure.station.code} for date [{measure.valid_time}]") + f"Duplicated measure for type [{measure.data_type.name}] " + f"on station [{measure.station.code}] for date [{measure.valid_time}]") entry.nr_of_vehicles = measure.value elif measure.is_average_speed_measure: if entry.average_speed is not None: raise ValueError( - f"Duplicated measure for type [{measure.data_type.name}] on station [{measure.station.code} for date [{measure.valid_time}]") + f"Duplicated measure for type [{measure.data_type.name}] " + f"on station [{measure.station.code}] for date [{measure.valid_time}]") entry.average_speed = measure.value return result diff --git a/pollution_v2/src/common/data_model/validation.py b/pollution_v2/src/common/data_model/validation.py index 426f4bd6..8a37ba65 100644 --- a/pollution_v2/src/common/data_model/validation.py +++ b/pollution_v2/src/common/data_model/validation.py @@ -99,12 +99,14 @@ def _build_entries_dictionary(self) -> Dict[str, Dict[datetime, Dict[VehicleClas if measure.is_vehicle_counting_measure: if entry.nr_of_vehicles is not None: raise ValueError( - f"Duplicated measure for type [{measure.data_type.name}] on station [{measure.station.code} for date [{measure.valid_time}]") + f"Duplicated measure for type [{measure.data_type.name}] " + f"on station [{measure.station.code}] for date [{measure.valid_time}]") entry.nr_of_vehicles = measure.value elif measure.is_average_speed_measure: if entry.average_speed is not None: raise ValueError( - f"Duplicated measure for type [{measure.data_type.name}] on station [{measure.station.code} for date [{measure.valid_time}]") + f"Duplicated measure for type [{measure.data_type.name}] " + f"on station [{measure.station.code}] for date [{measure.valid_time}]") entry.average_speed = measure.value return result diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 58a55256..4bc5f059 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -9,15 +9,12 @@ from datetime import datetime, timedelta from typing import List, Optional -from pandas import DataFrame - from common.cache.computation_checkpoint import ComputationCheckpointCache, ComputationCheckpoint from common.connector.collector import ConnectorCollector from common.connector.common import ODHBaseConnector from common.data_model import TrafficSensorStation from common.data_model.common import MeasureType, Provenance, DataType, MeasureCollection, Measure from common.data_model.entry import GenericEntry -from common.model.helper import ModelHelper from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE, ODH_COMPUTATION_BATCH_SIZE logger = logging.getLogger("pollution_v2.common.manager.traffic_station") From b39817e2f1d842501f57887a1931513e75993f2c Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Tue, 2 Apr 2024 12:46:28 +0200 Subject: [PATCH 055/154] pollution_v2: filter on measures excluding a period (useful to skip daily historic dat when reading traffic) - issue #24 --- pollution_v2/src/common/connector/common.py | 18 ++++++++++++++---- .../src/common/manager/traffic_station.py | 4 +++- 2 files changed, 17 insertions(+), 5 deletions(-) diff --git a/pollution_v2/src/common/connector/common.py b/pollution_v2/src/common/connector/common.py index 53ad4db8..2f07bd57 100644 --- a/pollution_v2/src/common/connector/common.py +++ b/pollution_v2/src/common/connector/common.py @@ -299,12 +299,14 @@ def get_station_list(self) -> list[StationType]: logger.info(f"Retrieved [{len(raw_stations)}] stations") return [self.build_station(raw_station) for raw_station in raw_stations] - def get_latest_measures(self, station: Optional[Station or str] = None) -> List[MeasureType]: + def get_latest_measures(self, station: Optional[Station or str] = None, + period_to_exclude: int = None) -> List[MeasureType]: """ Retrieve the last measure for the connector DataType. :param station: If set, it is possible to retrieve only the measures for the given station. It can be a string representing the station code or a Station object. + :param period_to_exclude: If set, it allows filtering on period; otherwise, no filter on period :return: The list of measures """ query_params = {} @@ -316,7 +318,10 @@ def get_latest_measures(self, station: Optional[Station or str] = None) -> List[ code = station.code else: raise TypeError(f"Unable to handle a parameter of type [{type(station)}] as station") - query_params["where"] = f'scode.eq."{code}"' + if period_to_exclude is None: + query_params["where"] = f'scode.eq."{code}"' + else: + query_params["where"] = f'and(scode.eq."{code}",mperiod.neq.{period_to_exclude})' logger.info(f"Retrieving latest measures on [{type(self).__name__}] for station [{code}]") else: logger.info("Retrieving latest measures on [{type(self).__name__}] for all stations") @@ -328,7 +333,8 @@ def get_latest_measures(self, station: Optional[Station or str] = None) -> List[ return [self.build_measure(raw_measure) for raw_measure in raw_measures] - def get_measures(self, from_date: datetime, to_date: datetime, station: Optional[Station or str] = None) -> List[MeasureType]: + def get_measures(self, from_date: datetime, to_date: datetime, station: Optional[Station or str] = None, + period_to_exclude: int = None) -> List[MeasureType]: """ Retrieve the measures for the connector DataType in the given interval. @@ -336,6 +342,7 @@ def get_measures(self, from_date: datetime, to_date: datetime, station: Optional :param to_date: The end date of the interval :param station: If set, it is possible to retrieve only the measures for the given station. It can be a string representing the station code or a Station object. + :param period_to_exclude: If set, it allows filtering on period; otherwise, no filter on period :return: the list of Measures """ @@ -351,7 +358,10 @@ def get_measures(self, from_date: datetime, to_date: datetime, station: Optional code = station.code else: raise TypeError(f"Unable to handle a parameter of type [{type(station)}] as station") - query_params["where"] = f'scode.eq."{code}"' + if period_to_exclude is None: + query_params["where"] = f'scode.eq."{code}"' + else: + query_params["where"] = f'and(scode.eq."{code}",mperiod.neq.{period_to_exclude})' logger.info(f"Retrieving measures on [{type(self).__name__}] from date [{iso_from_date}] " f"to date [{iso_to_date}] for station [{code}]") else: diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 4bc5f059..be1b41ca 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -182,7 +182,9 @@ def _download_input_data(self, :return: The resulting TrafficMeasureCollection containing the traffic data. """ - return self.get_input_collector().get_measures(from_date=from_date, to_date=to_date, station=traffic_station) + return self.get_input_collector().get_measures(from_date=from_date, to_date=to_date, station=traffic_station, + # TODO cablato + period_to_exclude=86400) def _upload_data(self, input_entries: List[GenericEntry]) -> None: """ From 256aee779c584600bdc296c60407024ac88888a7 Mon Sep 17 00:00:00 2001 From: Simone Brentan Date: Tue, 2 Apr 2024 13:16:36 +0200 Subject: [PATCH 056/154] Fixed broken pollution computation tests after refactor --- .../src/common/data_model/__init__.py | 2 +- pollution_v2/src/common/data_model/common.py | 8 --- .../src/dags/aiaas_pollution_computer.py | 6 +- pollution_v2/src/dags/aiaas_validator.py | 4 +- pollution_v2/src/tests/test_common.py | 51 ++++++++++++++++- .../src/tests/test_pollution_connector_dag.py | 7 +-- .../tests/test_pollution_connector_tasks.py | 55 ++++--------------- 7 files changed, 70 insertions(+), 63 deletions(-) diff --git a/pollution_v2/src/common/data_model/__init__.py b/pollution_v2/src/common/data_model/__init__.py index a9d426db..e346ee6e 100644 --- a/pollution_v2/src/common/data_model/__init__.py +++ b/pollution_v2/src/common/data_model/__init__.py @@ -1,6 +1,6 @@ # SPDX-FileCopyrightText: NOI Techpark # # SPDX-License-Identifier: AGPL-3.0-or-later -from .common import VehicleClass, MeasureCollection, Measure, Provenance, DataType, StationLatestMeasure, Station +from .common import VehicleClass, MeasureCollection, Measure, Provenance, DataType, Station from .traffic import TrafficSensorStation, TrafficMeasure, TrafficMeasureCollection, TrafficEntry from .pollution import PollutionEntry, PollutantClass, PollutionMeasure, PollutionMeasureCollection diff --git a/pollution_v2/src/common/data_model/common.py b/pollution_v2/src/common/data_model/common.py index 91ce8a9f..fe594eb9 100644 --- a/pollution_v2/src/common/data_model/common.py +++ b/pollution_v2/src/common/data_model/common.py @@ -160,14 +160,6 @@ def from_json(cls, dict_data) -> Station: ) -@dataclass -class StationLatestMeasure: - - def __init__(self, station_code, latest_time): - self.station_code = station_code - self.latest_time = latest_time - - StationType = TypeVar("StationType", bound=Station) diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index e5d1e226..e6c72259 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -27,7 +27,7 @@ default_args = { 'owner': 'airflow', 'depends_on_past': False, - 'start_date': ODH_MINIMUM_STARTING_DATE, + 'start_date': DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE), 'email': ['airflow@example.com'], 'email_on_failure': False, 'email_on_retry': False, @@ -136,11 +136,11 @@ def whats_next(already_processed_stations, **kwargs): def has_remaining_data(starting_date: datetime, ending_date: datetime) -> bool: """ - Determines if there are still enought data to be processed for another DAG run on the specific station. + Determines if there are still enough data to be processed for another DAG run on the specific station. :param starting_date: the date on which data availability starts :param ending_date: the date on which data availability ends - :return: true if there are enought data to run another DAG on this station + :return: true if there are enough data to run another DAG on this station """ return (ending_date - starting_date).total_seconds() / 3600 > DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py index d5a26326..9e7c25b7 100644 --- a/pollution_v2/src/dags/aiaas_validator.py +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -135,11 +135,11 @@ def whats_next(already_processed_stations, **kwargs): def has_remaining_data(starting_date: datetime, ending_date: datetime) -> bool: """ - Determines if there are still enought data to be processed for another DAG run on the specific station. + Determines if there are still enough data to be processed for another DAG run on the specific station. :param starting_date: the date on which data availability starts :param ending_date: the date on which data availability ends - :return: true if there are enought data to run another DAG on this station + :return: true if there are enough data to run another DAG on this station """ # TODO implement return False diff --git a/pollution_v2/src/tests/test_common.py b/pollution_v2/src/tests/test_common.py index 382e7e1e..4b691bc3 100644 --- a/pollution_v2/src/tests/test_common.py +++ b/pollution_v2/src/tests/test_common.py @@ -1,10 +1,18 @@ # SPDX-FileCopyrightText: NOI Techpark # # SPDX-License-Identifier: AGPL-3.0-or-later - +from datetime import datetime +from typing import Callable, Any from unittest import TestCase +from unittest.mock import patch from airflow.models import DagBag +import pendulum + +from common.connector.common import ODHBaseConnector +from common.connector.validation import ValidationODHConnector +from common.data_model import TrafficSensorStation +from common.settings import DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN class TestPollutionComputerCommon(TestCase): @@ -35,3 +43,44 @@ def setUp(self): "station_type": "type", "origin": "origin" } + + self.station2_dict = self.station_dict.copy() + self.station2_dict["code"] = "2" + + self.station3_dict = self.station_dict.copy() + self.station3_dict["code"] = "3" + + self.station4_dict = self.station_dict.copy() + self.station4_dict["code"] = "4" + + def __mock_get_starting_date_allow_limited_stations(self, allowed_stations: list[dict]) -> Callable[[ODHBaseConnector, TrafficSensorStation, datetime], datetime]: + span_hours = DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN + ending_date = pendulum.now() + included_starting_date = ending_date.subtract(hours=span_hours + 2) + excluded_starting_date = ending_date.subtract(hours=span_hours - 2) + def get_starting_date_mock(connector: ODHBaseConnector, traffic_station: TrafficSensorStation, + min_from_date: datetime) -> datetime: + if isinstance(connector, ValidationODHConnector): + return ending_date + else: + if traffic_station.code in [station["code"] for station in allowed_stations]: + return included_starting_date + return excluded_starting_date + return get_starting_date_mock + + + def mock_whats_next_run_allow_limited_stations(self, all_stations: list[dict], allowed_stations: list[dict]): + with patch("dags.common.TrafficStationsDAG.get_stations_list") as get_stations_list_mock: + with patch("common.manager.traffic_station.TrafficStationManager.get_starting_date") as get_starting_date_mock: + + # Mock allowed stations to have remaining data + get_stations_list_mock.return_value = [ + TrafficSensorStation.from_json(station_dict) for station_dict in all_stations + ] + get_starting_date_mock.side_effect = self.__mock_get_starting_date_allow_limited_stations(allowed_stations) + + # Run the whats_next task + dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) + task = dag.get_task(self.whats_next_task_id) + task_function = task.python_callable + task_function(all_stations) diff --git a/pollution_v2/src/tests/test_pollution_connector_dag.py b/pollution_v2/src/tests/test_pollution_connector_dag.py index c1f27409..04357605 100644 --- a/pollution_v2/src/tests/test_pollution_connector_dag.py +++ b/pollution_v2/src/tests/test_pollution_connector_dag.py @@ -11,6 +11,7 @@ import pytz from airflow.models import Variable +from common.settings import DEFAULT_TIMEZONE from tests.test_common import TestPollutionComputerCommon @@ -61,11 +62,7 @@ def test_pollution_computer_dag_starting_date(self): parsed_date = dateutil.parser.parse(starting_date) assert parsed_date == settings.ODH_MINIMUM_STARTING_DATE - - # Default timezone set in airflow settings is UTC, so we need to convert the parsed date to that timezone - # If default timezone is changed, update also this test - default_airflow_timezone = pytz.UTC - parsed_date = pendulum.instance(parsed_date.replace(tzinfo=default_airflow_timezone)) + parsed_date = DEFAULT_TIMEZONE.localize(parsed_date) # Importing the dag after the settings have been reloaded from dags.aiaas_pollution_computer import dag as pollution_computer_dag diff --git a/pollution_v2/src/tests/test_pollution_connector_tasks.py b/pollution_v2/src/tests/test_pollution_connector_tasks.py index 171d908d..be4de0ca 100644 --- a/pollution_v2/src/tests/test_pollution_connector_tasks.py +++ b/pollution_v2/src/tests/test_pollution_connector_tasks.py @@ -5,7 +5,7 @@ import pendulum -from common.data_model import TrafficSensorStation, StationLatestMeasure +from common.data_model import TrafficSensorStation from common.settings import DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN, ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE from tests.test_common import TestPollutionComputerCommon @@ -111,77 +111,46 @@ def test_run_computation_for_station_gets_correct_input(self, run_computation_fo ANY # This corresponds to the max_to_date parameter ) - # TODO restore @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.execute") @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.__init__") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.get_all_latest_measures") - def _test_trigger_next_dag_run_triggers_task_with_station(self, get_all_latest_measure_mock, trigger_dag_run_mock, - trigger_dag_run_execute_mock): + def test_trigger_next_dag_run_triggers_task_with_station(self, trigger_dag_run_mock, trigger_dag_run_execute_mock): """ Test that the TriggerDagRunOperator is called when the whats_next task is run with a station with remaining data. """ trigger_dag_run_mock.return_value = None - # Mock self.station_dict to have remaining data - included_date = pendulum.now().subtract(hours=DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN+1) - get_all_latest_measure_mock.return_value = [ - StationLatestMeasure(self.station_dict["code"], included_date), - ] - - # Run the whats_next task - dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) - task = dag.get_task(self.whats_next_task_id) - task_function = task.python_callable - task_function([self.station_dict]) - - # Test that the get_all_latest_measures method is called - trigger_dag_run_mock.assert_called_once() + all_stations = [self.station_dict, self.station2_dict] + self.mock_whats_next_run_allow_limited_stations(all_stations, all_stations) # Test that the trigger_dag_run method is called + dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) trigger_dag_run_mock.assert_called_once_with( task_id="run_again_the_dag", dag=dag, trigger_dag_id=self.pollution_computer_dag_id, - conf={"stations_to_process": [self.station_dict["code"]]} + conf={"stations_to_process": [station['code'] for station in all_stations]} ) trigger_dag_run_execute_mock.assert_called_once() - # TODO restore @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.execute") @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.__init__") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.get_all_latest_measures") - def _test_trigger_next_dag_run_passes_correct_stations(self, get_all_latest_measures_mock, trigger_dag_run_mock, - trigger_dag_run_execute_mock): + def test_trigger_next_dag_run_passes_correct_stations(self, trigger_dag_run_mock, trigger_dag_run_execute_mock): """ Test that the trigger_next_dag_run method is called with the correct input when the whats_next task is run. """ trigger_dag_run_mock.return_value = None - span_hours = DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN - included_date = pendulum.now().subtract(hours=span_hours+1) - excluded_date = pendulum.now().subtract(hours=span_hours-1) - get_all_latest_measures_mock.return_value = [ - StationLatestMeasure("station_1", included_date), - StationLatestMeasure("station_2", excluded_date), - StationLatestMeasure("station_3", included_date), - StationLatestMeasure("station_4", excluded_date) - ] - - # Run the whats_next task - dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) - task = dag.get_task(self.whats_next_task_id) - task_function = task.python_callable - task_function([self.station_dict]) - - # Test that the get_all_latest_measures method is called - get_all_latest_measures_mock.assert_called_once() + all_stations = [self.station_dict, self.station2_dict, self.station3_dict, self.station4_dict] + allowed_stations = [self.station_dict, self.station3_dict] + self.mock_whats_next_run_allow_limited_stations(all_stations, allowed_stations) # Test that the trigger_dag_run method is called with the correct input + dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) trigger_dag_run_mock.assert_called_once_with( task_id="run_again_the_dag", dag=dag, trigger_dag_id=self.pollution_computer_dag_id, - conf={"stations_to_process": ["station_1", "station_3"]} + conf={"stations_to_process": [station['code'] for station in allowed_stations]} ) trigger_dag_run_execute_mock.assert_called_once() From a3d65ee9d4a33fb1faafcc2cf3655cd5483d1ca2 Mon Sep 17 00:00:00 2001 From: Simone Brentan Date: Tue, 2 Apr 2024 14:28:45 +0200 Subject: [PATCH 057/154] Apply 1 suggestion(s) to 1 file(s) --- pollution_v2/src/common/connector/common.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pollution_v2/src/common/connector/common.py b/pollution_v2/src/common/connector/common.py index 09fa98fc..54806f17 100644 --- a/pollution_v2/src/common/connector/common.py +++ b/pollution_v2/src/common/connector/common.py @@ -66,7 +66,7 @@ def is_expired(self) -> bool: return (self.created_at + timedelta(seconds=self.expires_in)) < datetime.now() @property - def is_refresh_toke_expired(self) -> bool: + def is_refresh_token_expired(self) -> bool: """ Check if the refresh token is expired. """ From a6e6cadb21e6d1e7439f8e2d632b1d17c40fc5c3 Mon Sep 17 00:00:00 2001 From: Simone Brentan Date: Tue, 2 Apr 2024 14:28:59 +0200 Subject: [PATCH 058/154] Apply 1 suggestion(s) to 1 file(s) --- pollution_v2/src/common/connector/common.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pollution_v2/src/common/connector/common.py b/pollution_v2/src/common/connector/common.py index 54806f17..9778c207 100644 --- a/pollution_v2/src/common/connector/common.py +++ b/pollution_v2/src/common/connector/common.py @@ -135,7 +135,7 @@ def _refresh_token(self) -> None: """ Refresh current token or request a new one. """ - if not self._token or self._token.is_refresh_toke_expired: + if not self._token or self._token.is_refresh_token_expired: logger.info("Requesting new token") self._token = Token.from_repr( self._keycloak_openid.token(username=self._username, password=self._password, grant_type=self._grant_type) From 32b53f7005275c10556fb5456371017b107fd72c Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Tue, 2 Apr 2024 16:45:25 +0200 Subject: [PATCH 059/154] pollution_v2: pollution computation working (not tested on writing on ODH) and refactoring -wip - issue #24 --- pollution_v2/src/common/connector/common.py | 2 +- .../src/common/data_model/validation.py | 24 ++++++----- .../src/common/manager/traffic_station.py | 33 +++++++-------- pollution_v2/src/common/model/helper.py | 37 +++++++++-------- pollution_v2/src/common/settings.py | 3 ++ pollution_v2/src/dags/common.py | 4 +- .../manager/pollution_computation.py | 37 ++++++++++++----- .../model/pollution_computation_model.py | 40 +++++++++++++------ pollution_v2/src/validator/Station.py | 20 ++++++---- pollution_v2/src/validator/Validator.py | 23 ++++++----- .../src/validator/manager/validation.py | 8 ++-- .../src/validator/model/validation_model.py | 25 ++++++------ 12 files changed, 152 insertions(+), 104 deletions(-) diff --git a/pollution_v2/src/common/connector/common.py b/pollution_v2/src/common/connector/common.py index 2f07bd57..f9ef6a37 100644 --- a/pollution_v2/src/common/connector/common.py +++ b/pollution_v2/src/common/connector/common.py @@ -136,7 +136,7 @@ def _refresh_token(self) -> None: Refresh current token or request a new one. """ if not self._token or self._token.is_refresh_toke_expired: - logger.info("Requesting new token") + logger.debug("Requesting new token") self._token = Token.from_repr( self._keycloak_openid.token(username=self._username, password=self._password, grant_type=self._grant_type) diff --git a/pollution_v2/src/common/data_model/validation.py b/pollution_v2/src/common/data_model/validation.py index 8a37ba65..9cbab039 100644 --- a/pollution_v2/src/common/data_model/validation.py +++ b/pollution_v2/src/common/data_model/validation.py @@ -48,28 +48,30 @@ class ValidationMeasureCollection(MeasureCollection[ValidationMeasure, TrafficSe @staticmethod def build_from_validation_entries(validation_entries: List[ValidationEntry], - provenance: Provenance) -> ValidationMeasureCollection: + provenance: Provenance, filter_is_valid=False) -> ValidationMeasureCollection: """ Build a ValidationMeasureCollection from the list of validation entries. :param validation_entries: the validation entries from which generate the ValidationMeasureCollection :param provenance: the provenance of the validation measures + :param filter_is_valid: if True, processes only the measure with is_valid set to True :return: a ValidationMeasureCollection object containing the validation measures generated from the validation entries """ data_types_dict: Dict[str, DataType] = {data_type.name: data_type for data_type in ValidationMeasure.get_data_types()} validation_measures: List[ValidationMeasure] = [] for validation_entry in validation_entries: - validation_measures.append(ValidationMeasure( - station=validation_entry.station, - data_type=data_types_dict[ - f"{validation_entry.vehicle_class.name}-{validation_entry.entry_class.name}"], - provenance=provenance, - period=validation_entry.period, - transaction_time=None, - valid_time=validation_entry.valid_time, - value=validation_entry.entry_value - )) + if not filter_is_valid or (filter_is_valid and validation_entry.entry_value == 1): + validation_measures.append(ValidationMeasure( + station=validation_entry.station, + data_type=data_types_dict[ + f"{validation_entry.vehicle_class.name}-{validation_entry.entry_class.name}"], + provenance=provenance, + period=validation_entry.period, + transaction_time=None, + valid_time=validation_entry.valid_time, + value=validation_entry.entry_value + )) return ValidationMeasureCollection(validation_measures) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index be1b41ca..e4326f28 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -15,7 +15,7 @@ from common.data_model import TrafficSensorStation from common.data_model.common import MeasureType, Provenance, DataType, MeasureCollection, Measure from common.data_model.entry import GenericEntry -from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE, ODH_COMPUTATION_BATCH_SIZE +from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE, ODH_COMPUTATION_BATCH_SIZE, PERIOD_1DAY logger = logging.getLogger("pollution_v2.common.manager.traffic_station") @@ -38,14 +38,14 @@ def _get_manager_code(self) -> str: pass @abstractmethod - def get_output_collector(self) -> ODHBaseConnector: + def get_output_connector(self) -> ODHBaseConnector: """ Returns the colletor of the data in charge of the implementing manager class. """ pass @abstractmethod - def get_input_collector(self) -> ODHBaseConnector: + def get_input_connector(self) -> ODHBaseConnector: """ Returns the collector for retrieving input data for computing and the dates useful to determine processing interval for the implementing manager class. @@ -169,11 +169,11 @@ def __get_station_list(self) -> List[TrafficSensorStation]: """ return self._connector_collector.traffic.get_station_list() - def _download_input_data(self, - from_date: datetime, - to_date: datetime, - traffic_station: TrafficSensorStation - ) -> List[MeasureType]: + def _download_traffic_data(self, + from_date: datetime, + to_date: datetime, + traffic_station: TrafficSensorStation + ) -> List[MeasureType]: """ Download traffic data measures in the given interval. @@ -182,9 +182,8 @@ def _download_input_data(self, :return: The resulting TrafficMeasureCollection containing the traffic data. """ - return self.get_input_collector().get_measures(from_date=from_date, to_date=to_date, station=traffic_station, - # TODO cablato - period_to_exclude=86400) + return self._connector_collector.traffic.get_measures(from_date=from_date, to_date=to_date, station=traffic_station, + period_to_exclude=PERIOD_1DAY) def _upload_data(self, input_entries: List[GenericEntry]) -> None: """ @@ -197,15 +196,15 @@ def _upload_data(self, input_entries: List[GenericEntry]) -> None: logger.info(f"Posting provenance {self._provenance}") if not self._provenance.provenance_id: - self._provenance.provenance_id = self.get_output_collector().post_provenance(self._provenance) + self._provenance.provenance_id = self.get_output_connector().post_provenance(self._provenance) logger.info(f"Posting data types {self._get_data_types()}") if self._create_data_types: - self.get_output_collector().post_data_types(self._get_data_types(), self._provenance) + self.get_output_connector().post_data_types(self._get_data_types(), self._provenance) data = self._build_from_entries(input_entries) logger.info(f"Posting measures {len(data.measures)}") - self.get_output_collector().post_measures(data.measures) + self.get_output_connector().post_measures(data.measures) def run_computation_for_station(self, traffic_station: TrafficSensorStation, @@ -224,13 +223,12 @@ def run_computation_for_station(self, logger.info(f"Determining computation interval for [{traffic_station.code}] " f"between [{min_from_date}] and [{max_to_date}]") - start_date = self.get_starting_date(self.get_output_collector(), traffic_station, min_from_date) - logger.info(f"Computation interval for [{traffic_station.code}] starts at [{start_date}]") + start_date = self.get_starting_date(self.get_output_connector(), traffic_station, min_from_date) # Detect inactive stations: # If we're about to request more than one window of measurements, do a check first if there even is any new data if (max_to_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: - latest_measurement_date = self._get_latest_date(self.get_input_collector(), traffic_station) + latest_measurement_date = self._get_latest_date(self.get_input_connector(), traffic_station) # traffic data request range end is the latest measurement # For inactive stations, this latest measurement date will be < start_date, # thus no further requests will be made. In general, it makes no sense to ask for data @@ -240,7 +238,6 @@ def run_computation_for_station(self, max_to_date = min(max_to_date, latest_measurement_date) to_date = start_date - logger.info(f"Computation interval for [{traffic_station.code}] ends at [{to_date}]") if start_date == max_to_date: logger.info(f"Not computing data for station [{traffic_station.code}] in interval " diff --git a/pollution_v2/src/common/model/helper.py b/pollution_v2/src/common/model/helper.py index 09a283e4..c9e0a4a0 100644 --- a/pollution_v2/src/common/model/helper.py +++ b/pollution_v2/src/common/model/helper.py @@ -2,8 +2,8 @@ # # SPDX-License-Identifier: AGPL-3.0-or-later -from datetime import date -from typing import Iterable +from datetime import date, datetime +from typing import Iterable, Set import pandas as pd import json @@ -17,6 +17,9 @@ class ModelHelper: + """ + Created Pandas datqframes starting useful to feed computerion algorithms + """ @staticmethod def get_stations_dataframe(stations: dict[str, StationType]) -> pd.DataFrame: @@ -30,7 +33,6 @@ def get_stations_dataframe(stations: dict[str, StationType]) -> pd.DataFrame: """ temp = [] for entry in stations.values(): - temp.append({ "station_id": entry.id_stazione, "station_code": entry.code, @@ -41,12 +43,14 @@ def get_stations_dataframe(stations: dict[str, StationType]) -> pd.DataFrame: return pd.DataFrame(temp) @staticmethod - def get_traffic_dataframe(traffic_entries: Iterable[TrafficEntry]) -> pd.DataFrame: + def get_traffic_dataframe(traffic_entries: Iterable[TrafficEntry], + date_filter: Set[datetime] = None) -> pd.DataFrame: """ Get a dataframe from the given traffic entries. The resulting dataframe will have the following columns: date,time,Location,Station,Lane,Category,Transits,Speed,km :param traffic_entries: the traffic entries + :param date_filter: the dates to filter on :return: the traffic dataframe """ temp = [] @@ -60,18 +64,19 @@ def get_traffic_dataframe(traffic_entries: Iterable[TrafficEntry]) -> pd.DataFra except Exception as e: logger.warning(f"Unable to parse the KM data for station [{entry.station.code}], error [{e}]") - temp.append({ - "date": entry.valid_time.date().isoformat(), - "time": entry.valid_time.time().isoformat(), - "Location": entry.station.id_strada, - "Station": entry.station.id_stazione, - "Lane": entry.station.id_corsia, - "Category": entry.vehicle_class.value, - "Transits": entry.nr_of_vehicles, - "Speed": entry.average_speed, - "Period": entry.period, - "KM": km - }) + if date_filter is None or (date_filter is not None and entry.valid_time in date_filter): + temp.append({ + "date": entry.valid_time.date().isoformat(), + "time": entry.valid_time.time().isoformat(), + "Location": entry.station.id_strada, + "Station": entry.station.id_stazione, + "Lane": entry.station.id_corsia, + "Category": entry.vehicle_class.value, + "Transits": entry.nr_of_vehicles, + "Speed": entry.average_speed, + "Period": entry.period, + "KM": km + }) return pd.DataFrame(temp) diff --git a/pollution_v2/src/common/settings.py b/pollution_v2/src/common/settings.py index 969f0132..0da48439 100644 --- a/pollution_v2/src/common/settings.py +++ b/pollution_v2/src/common/settings.py @@ -41,6 +41,9 @@ DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN = int(Variable.get("DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN", 24)) DAG_VALIDATION_TRIGGER_DAG_HOURS_SPAN = int(Variable.get("DAG_VALIDATION_TRIGGER_DAG_HOURS_SPAN", 24)) +PERIOD_10MIN = 600 +PERIOD_1DAY = 86400 + # Requests management REQUESTS_TIMEOUT = float(os.getenv("REQUESTS_TIMEOUT", 300)) REQUESTS_MAX_RETRIES = int(os.getenv("REQUESTS_MAX_RETRIES", 1)) diff --git a/pollution_v2/src/dags/common.py b/pollution_v2/src/dags/common.py index 5f583673..d0f585c7 100644 --- a/pollution_v2/src/dags/common.py +++ b/pollution_v2/src/dags/common.py @@ -75,9 +75,9 @@ def trigger_next_dag_run(manager: TrafficStationManager, originator_dag: DAG, stations = [] all_stations = TrafficStationsDAG.get_stations_list(manager) for station in all_stations: - starting_date = manager.get_starting_date(manager.get_output_collector(), + starting_date = manager.get_starting_date(manager.get_output_connector(), station, ODH_MINIMUM_STARTING_DATE) - ending_date = manager.get_starting_date(manager.get_input_collector(), + ending_date = manager.get_starting_date(manager.get_input_connector(), station, ODH_MINIMUM_STARTING_DATE) logger.info(f"Check if [{station.code}] has more data on dates ranging from [{starting_date}] to [{ending_date}]") if has_remaining_data(starting_date, ending_date): diff --git a/pollution_v2/src/pollution_connector/manager/pollution_computation.py b/pollution_v2/src/pollution_connector/manager/pollution_computation.py index 66a1e2a3..af69bde9 100644 --- a/pollution_v2/src/pollution_connector/manager/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/manager/pollution_computation.py @@ -12,9 +12,11 @@ from common.connector.common import ODHBaseConnector from common.data_model import TrafficSensorStation, TrafficMeasureCollection from common.data_model.entry import GenericEntry +from common.data_model.validation import ValidationMeasureCollection from common.manager.traffic_station import TrafficStationManager from common.data_model.common import DataType, MeasureCollection from common.data_model.pollution import PollutionMeasure, PollutionMeasureCollection, PollutionEntry +from common.settings import DEFAULT_TIMEZONE from pollution_connector.model.pollution_computation_model import PollutionComputationModel logger = logging.getLogger("pollution_v2.pollution_connector.manager.pollution_computation") @@ -28,30 +30,47 @@ class PollutionComputationManager(TrafficStationManager): def _get_manager_code(self) -> str: return TrafficManagerClass.POLLUTION.name - def get_output_collector(self) -> ODHBaseConnector: + def get_output_connector(self) -> ODHBaseConnector: return self._connector_collector.pollution - def get_input_collector(self) -> ODHBaseConnector: + def get_input_connector(self) -> ODHBaseConnector: # on v1 it would have been self._connector_collector.traffic return self._connector_collector.validation - # TODO must become ValidationMeasureCollection + def _download_validation_data(self, + from_date: datetime, + to_date: datetime, + traffic_station: TrafficSensorStation + ) -> ValidationMeasureCollection: + """ + Download validation data measures in the given interval. + + :param from_date: Measures before this date are discarded if there isn't any latest measure available. + :param to_date: Measures after this date are discarded. + :return: The resulting ValidationMeasureCollection containing the validated traffic data. + """ + + return ValidationMeasureCollection( + measures=self._connector_collector.validation.get_measures(from_date=from_date, to_date=to_date, + station=traffic_station)) + def _download_data_and_compute(self, start_date: datetime, to_date: datetime, traffic_station: TrafficSensorStation) -> List[GenericEntry]: - input_data = [] + validation_data = [] + traffic_data = [] try: - input_data = self._download_input_data(start_date, to_date, traffic_station) + validation_data = self._download_validation_data(start_date, to_date, traffic_station) + traffic_data = self._download_traffic_data(start_date, to_date, traffic_station) except Exception as e: logger.exception( - f"Unable to download traffic data for station [{traffic_station.code}] " + f"Unable to download validation and traffic data for station [{traffic_station.code}] " f"in the interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", exc_info=e) - if input_data: + if validation_data and traffic_data: model = PollutionComputationModel() - # TODO should become ValidationMeasureCollection - return model.compute_data(TrafficMeasureCollection(input_data)) + return model.compute_data(validation_data, TrafficMeasureCollection(traffic_data), traffic_station) return [] diff --git a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py index 149394c1..07f872f8 100644 --- a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py +++ b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py @@ -5,15 +5,15 @@ from __future__ import absolute_import, annotations import datetime -import json import logging -from typing import List, Iterable, Dict +from typing import List, Dict import pandas as pd from common.data_model.common import VehicleClass from common.data_model.pollution import PollutionEntry, PollutantClass -from common.data_model import TrafficMeasureCollection, TrafficEntry, TrafficSensorStation +from common.data_model import TrafficMeasureCollection, TrafficSensorStation +from common.data_model.validation import ValidationMeasureCollection from common.model.helper import ModelHelper from pollution_connector.model.CopertEmissions import copert_emissions @@ -26,7 +26,8 @@ class PollutionComputationModel: """ @staticmethod - def _get_pollution_entries_from_df(pollution_df: pd.DataFrame, stations_dict: Dict[str, TrafficSensorStation]) -> List[PollutionEntry]: + def _get_pollution_entries_from_df(pollution_df: pd.DataFrame, stations_dict: Dict[str, TrafficSensorStation]) -> \ + List[PollutionEntry]: """ Create a list of PollutionEntry for the given dataframe. The dataframe should have the following columns: date,time,Location,Station,Lane,Category,km,Pollutant,Total_Transits,E @@ -47,19 +48,34 @@ def _get_pollution_entries_from_df(pollution_df: pd.DataFrame, stations_dict: Di )) return pollution_entries - # TODO should become ValidationMeasureCollection - def compute_data(self, validated_measure_collection: TrafficMeasureCollection) -> List[PollutionEntry]: + def compute_data(self, validation: ValidationMeasureCollection, + traffic: TrafficMeasureCollection, station: TrafficSensorStation) -> List[PollutionEntry]: """ Compute the pollution measure given the available traffic measures - :param validated_measure_collection: A collection which contain all the available and validated traffic measures + :param validation: A collection which contain all the available and validated traffic measures + :param traffic: A collection which contain all the available traffic measures + :param station: A station to be processed :return: A list of the new computed pollution measures """ - validated_entries = validated_measure_collection.get_entries() + validated_datetimes = {measure.valid_time for measure in validation.measures if measure.value == 1} + traffic_datetimes = {measure.valid_time for measure in traffic.measures} - if len(validated_entries) > 0: - validated_df = ModelHelper.get_traffic_dataframe(validated_entries) - pollution_df = copert_emissions(validated_df) - return self._get_pollution_entries_from_df(pollution_df, validated_measure_collection.get_stations()) + diff = {measure.valid_time.strftime("%m/%d/%Y, %H:%M:%S") for measure in traffic.measures + if measure.valid_time in traffic_datetimes.difference(validated_datetimes)} + if len(diff) > 0: + logger.warning( + f"Missing validation or not validated data for the following dates [{sorted(diff)}] on station " + f"[{station.code}]: {len(diff)} records will not be processed") + + run_on_datetimes = validated_datetimes.intersection(traffic_datetimes) + logger.info(f"Ready to process validation on {len(run_on_datetimes)} datetimes") + + traffic_entries = traffic.get_entries() + + if len(traffic_entries) > 0: + traffic_df = ModelHelper.get_traffic_dataframe(traffic_entries, run_on_datetimes) + pollution_df = copert_emissions(traffic_df) + return self._get_pollution_entries_from_df(pollution_df, traffic.get_stations()) else: logger.info("0 validated entries found skipping pollution computation") return [] diff --git a/pollution_v2/src/validator/Station.py b/pollution_v2/src/validator/Station.py index ca427910..e57e2575 100644 --- a/pollution_v2/src/validator/Station.py +++ b/pollution_v2/src/validator/Station.py @@ -4,10 +4,15 @@ #!/usr/bin/env python3 # -*- coding: utf-8 -*- + +import logging + import numpy as np import pandas as pd import matplotlib.pyplot as plt +logger = logging.getLogger("pollution_v2.validator.Station") + class Station: # Inizializza l'oggetto stazione con le caratteristiche identificative # e i dati giornalieri. @@ -31,7 +36,7 @@ def getStats(self, history, chilometriche, N): history_len = history[history['station'] == self.ID].shape[0] if self.ID not in history['station'].values or history_len < 10: if self.ID not in chilometriche.keys(): - print(f'{self.ID:<4} {self.direction:<4} no history, no information about position --> skip layer 1, 1.1, 2') + logger.info(f'{self.ID:<4} {self.direction:<4} no history, no information about position --> skip layer 1, 1.1, 2') self.skip_validation = True self.layer1 = None self.layer1_1 = None @@ -42,14 +47,15 @@ def getStats(self, history, chilometriche, N): nearest = self.nearest_stations_L1(chilometriche, history, N) history_data = history[(history['station'].isin(nearest)) & (history['lane'].isin(self.lane))] history_data = history_data.groupby(['date', 'lane', 'daytype'])['total_traffic'].mean().reset_index() - print(f'{self.ID:<4} {self.direction:<4} no history, get statistics from {nearest} stations') + logger.info(f'{self.ID:<4} {self.direction:<4} no history, get statistics from {nearest} stations') else: history_data = history[(history['station'] == self.ID) & (history['lane'].isin(self.lane))] - print(f'{self.ID:<4} {self.direction:<4}') + logger.debug(f'{self.ID:<4} {self.direction:<4}') if history_data is not None: agg_hist = history_data[history_data['lane'].isin(self.lane)].groupby(['date', 'daytype']).agg({'total_traffic': 'sum'}).reset_index() else: self.skip_validation = True + # TODO move in previous if? self.layer1_stats = agg_hist['total_traffic'].agg(['mean', 'std']).to_dict() # Calcolo statistiche distribuzione corsie per layer 2 @@ -58,7 +64,7 @@ def getStats(self, history, chilometriche, N): layer2_hist['ratio'] = layer2_hist[self.lane[0]] / layer2_hist[self.lane[1]] self.layer2_stats = layer2_hist['ratio'].agg(['mean', 'std']).to_dict() else: - print(f'{self.ID:<4} {self.direction:<4} no lane history --> skip layer 2 validation') + logger.info(f'{self.ID:<4} {self.direction:<4} no lane history --> skip layer 2 validation') # Identifica le N stazioni a valle e le N stazioni a monte più vicine. def nearest_stations_L1(self, chilometriche, history, N): @@ -91,7 +97,7 @@ def zScore_1(self): try: self.zscore1 = (self.daily - self.layer1_stats['mean'])/self.layer1_stats['std'] except Exception as e: - print(f'error computing zscore layer 1 for {self.ID} {self.direction}: {e}') + logger.warning(f'error computing zscore layer 1 for {self.ID} {self.direction}: {e}') self.zscore1 = None def zScore1_1(self, chilometriche, dominio, N): @@ -101,7 +107,7 @@ def zScore1_1(self, chilometriche, dominio, N): self.layer1_1_stats = {'mean': np.mean(nearest_data), 'std': np.std(nearest_data)} self.zscore1_1 = (self.daily - np.mean(nearest_data))/np.std(nearest_data) except Exception as e: - print(f'error computing zscore layer 1.1 for {self.ID} {self.direction}: {e}') + logger.warning(f'error computing zscore layer 1.1 for {self.ID} {self.direction}: {e}') self.zscore1_1 = None # Calcola lo z-score per i dati giornalieri sulla base della corsia. @@ -113,7 +119,7 @@ def zScore_2(self): lane_ratio = traffic_per_lane.iloc[0]['value']/traffic_per_lane.iloc[1]['value'] self.zscore2 = (lane_ratio - self.layer2_stats['mean'])/self.layer2_stats['std'] except KeyError as e: - print(f'error computing zscore layer 2 for {self.ID} {self.direction}: {e}') + logger.warning(f'error computing zscore layer 2 for {self.ID} {self.direction}: {e}') self.zscore2 = None else: self.zscore2 = None diff --git a/pollution_v2/src/validator/Validator.py b/pollution_v2/src/validator/Validator.py index f77b250b..417c7d1f 100644 --- a/pollution_v2/src/validator/Validator.py +++ b/pollution_v2/src/validator/Validator.py @@ -3,6 +3,7 @@ # SPDX-License-Identifier: AGPL-3.0-or-later import os +import logging import pandas as pd @@ -13,6 +14,8 @@ default_config_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '../config/validator.yaml')) +logger = logging.getLogger("pollution_v2.validator.Validator") + # Il metodo utilizzato per validare i dati per il giorno specificato def validator(day, raw_data, history, km, station_type, config=default_config_path): @@ -44,7 +47,7 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa # ------------------------------------------------------------------------- # Inizializzazione dominio e stazioni # ------------------------------------------------------------------------- - print(f'...initializing data for day {day}') + logging.debug(f'...initializing data for day {day}') A22 = Dominio(data) for index, row in data.station_list.iterrows(): if (data.station_type.loc[row['station']]['station_type'] != 'TVCC' or @@ -53,11 +56,10 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa s = Station(data.raw_data, data.history, row['station'], row['direction'], data.chilometriche, params.layer1('n')) A22.add_station(s) - print('-----------------------') # ------------------------------------------------------------------------- # Layer 1 # ------------------------------------------------------------------------- - print('...validation starting') + logging.debug('...validation starting') for s in A22.station_list: if s.skip_validation == False: # calcolo Z-score @@ -66,7 +68,7 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa s.layer1_validation(params) if s.layer1 == False: A22.layer1_not_valid_station(s) - print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1') + logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 1') if plot: s.plot('layer1') # ------------------------------------------------------------------------- @@ -79,15 +81,15 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa s.layer1_1_validation(params, A22) if s.layer1_1 == False: if s in A22.layer1_not_valid: - print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1 (confirmed)') + logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1 (confirmed)') else: - print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1') + logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1') A22.layer1_1_not_valid_station(s) if plot: s.plot('layer1') else: if s in A22.layer1_not_valid: - print(f'{s.ID:<4} {s.direction:<4} valid for layer 1.1 (not confirmed)') + logging.info(f'{s.ID:<4} {s.direction:<4} valid for layer 1.1 (not confirmed)') # ------------------------------------------------------------------------- # Layer 2 # ------------------------------------------------------------------------- @@ -98,7 +100,7 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa # assegna flag di validità basato su confronto z-score con valori limite s.layer2_validation(params, A22) if s.layer2 == False: - print(f'{s.ID:<4} {s.direction:<4} not valid for layer 2') + logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 2') A22.layer2_not_valid_station(s) # ------------------------------------------------------------------------- # Layer 3 @@ -106,12 +108,11 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa for s in A22.station_list: s.layer3_validation() if any(not value for value in s.layer3.values()): - print(f'{s.ID:<4} {s.direction:<4} not valid for layer 3') + logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 3') if plot: s.plot('layer3') A22.layer3_not_valid_station(s) - print('-----------------------') - print('...validation complete!') + logging.info('...validation complete!') # ----------------------------------------------------------------------------- # Output # ----------------------------------------------------------------------------- diff --git a/pollution_v2/src/validator/manager/validation.py b/pollution_v2/src/validator/manager/validation.py index f8f914df..8784b080 100644 --- a/pollution_v2/src/validator/manager/validation.py +++ b/pollution_v2/src/validator/manager/validation.py @@ -8,8 +8,6 @@ from datetime import datetime from typing import List -from pandas import DataFrame - from common.cache.common import TrafficManagerClass from common.connector.common import ODHBaseConnector from common.data_model import TrafficSensorStation @@ -33,10 +31,10 @@ class ValidationManager(TrafficStationManager): def _get_manager_code(self) -> str: return TrafficManagerClass.VALIDATION.name - def get_output_collector(self) -> ODHBaseConnector: + def get_output_connector(self) -> ODHBaseConnector: return self._connector_collector.validation - def get_input_collector(self) -> ODHBaseConnector: + def get_input_connector(self) -> ODHBaseConnector: return self._connector_collector.traffic def _download_history_data(self, @@ -65,7 +63,7 @@ def _download_data_and_compute(self, start_date: datetime, to_date: datetime, traffic_data = [] try: history_data = self._download_history_data(start_date, to_date, traffic_station) - traffic_data = self._download_input_data(start_date, to_date, traffic_station) + traffic_data = self._download_traffic_data(start_date, to_date, traffic_station) except Exception as e: logger.exception( f"Unable to download history and traffic data for station [{traffic_station.code}] " diff --git a/pollution_v2/src/validator/model/validation_model.py b/pollution_v2/src/validator/model/validation_model.py index dd520999..50a36c74 100644 --- a/pollution_v2/src/validator/model/validation_model.py +++ b/pollution_v2/src/validator/model/validation_model.py @@ -15,6 +15,7 @@ from common.data_model.traffic import TrafficMeasureCollection from common.data_model.validation import ValidationEntry, ValidationTypeClass from common.model.helper import ModelHelper +from common.settings import PERIOD_10MIN from validator.Validator import validator logger = logging.getLogger("pollution_v2.validator.model.validation_model") @@ -39,17 +40,17 @@ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasur history_dates = {measure.valid_time.date() for measure in history.measures} traffic_dates = {measure.valid_time.date() for measure in traffic.measures} - if len(history_dates.difference(traffic_dates)) > 0: - unprocessed_records = [measure.valid_time.date() for measure in traffic.measures - if measure.valid_time.date() in history_dates.difference(traffic_dates)] - logger.warning(f"Missing traffic data for the following dates [{history_dates.difference(traffic_dates)}] " - f"on station [{station.code}]: {len(unprocessed_records)} " + diff = {measure.valid_time.date() for measure in traffic.measures + if measure.valid_time.date() in history_dates.difference(traffic_dates)} + if len(diff) > 0: + logger.warning(f"Missing traffic data for the following dates [{sorted(diff)}] " + f"on station [{station.code}]: {len(diff)} " f"records will not be processed") - if len(traffic_dates.difference(history_dates)) > 0: - unprocessed_records = [measure.valid_time.date() for measure in traffic.measures - if measure.valid_time.date() in traffic_dates.difference(history_dates)] - logger.warning(f"Missing history data for the following dates [{traffic_dates.difference(history_dates)}] " - f"on station [{station.code}]: {len(unprocessed_records)} " + diff = {measure.valid_time.date() for measure in traffic.measures + if measure.valid_time.date() in traffic_dates.difference(history_dates)} + if len(diff) > 0: + logger.warning(f"Missing history data for the following dates [{sorted(diff)}] " + f"on station [{station.code}]: {len(diff)} " f"records will not be processed") run_on_dates = history_dates.intersection(traffic_dates) @@ -61,8 +62,8 @@ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasur stations_df = ModelHelper.get_stations_dataframe(traffic.get_stations()) stations_df_validator = stations_df.copy().set_index("station_id") - # TODO coming from algorithm? - period = 600 + # TODO without hard-coding here, should come out from algorithm + period = PERIOD_10MIN res = [] if len(traffic_entries) > 0 and len(history_entries) > 0: From 77941bd74cdadc5602b6c52c5b55a9a0bbce3a7c Mon Sep 17 00:00:00 2001 From: Simone Brentan Date: Wed, 3 Apr 2024 10:41:58 +0200 Subject: [PATCH 060/154] Fixed pollution computation tests --- pollution_v2/src/tests/test_pollution_computation.py | 6 +++--- .../src/tests/test_pollution_connector_tasks.py | 12 ++++-------- 2 files changed, 7 insertions(+), 11 deletions(-) diff --git a/pollution_v2/src/tests/test_pollution_computation.py b/pollution_v2/src/tests/test_pollution_computation.py index 00c29b83..96e82aa8 100644 --- a/pollution_v2/src/tests/test_pollution_computation.py +++ b/pollution_v2/src/tests/test_pollution_computation.py @@ -26,7 +26,7 @@ def setUp(self): @patch("dags.common.TrafficStationsDAG.init_date_range") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_data") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_data") + @patch("pollution_connector.model.pollution_computation_model.PollutionComputationModel.compute_data") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.get_starting_date") @patch("common.manager.traffic_station.TrafficStationManager._get_latest_date") @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") @@ -67,7 +67,7 @@ def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, @patch("dags.common.TrafficStationsDAG.init_date_range") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_data") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_data") + @patch("pollution_connector.model.pollution_computation_model.PollutionComputationModel.compute_data") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.get_starting_date") @patch("common.manager.traffic_station.TrafficStationManager._get_latest_date") @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") @@ -117,7 +117,7 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d @patch("dags.common.TrafficStationsDAG.init_date_range") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._upload_data") - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager._compute_data") + @patch("pollution_connector.model.pollution_computation_model.PollutionComputationModel.compute_data") @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.get_starting_date") @patch("common.manager.traffic_station.TrafficStationManager._get_latest_date") @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") diff --git a/pollution_v2/src/tests/test_pollution_connector_tasks.py b/pollution_v2/src/tests/test_pollution_connector_tasks.py index be4de0ca..041aa132 100644 --- a/pollution_v2/src/tests/test_pollution_connector_tasks.py +++ b/pollution_v2/src/tests/test_pollution_connector_tasks.py @@ -6,7 +6,7 @@ import pendulum from common.data_model import TrafficSensorStation -from common.settings import DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN, ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE +from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE from tests.test_common import TestPollutionComputerCommon @@ -40,11 +40,9 @@ def test_get_traffic_station_gets_stations_from_cache(self, get_traffic_stations task_function = task.python_callable # Mock the available list of stations - station_dict_2 = self.station_dict.copy() - station_dict_2["code"] = "station_temp" get_traffic_stations_mock.return_value = [ TrafficSensorStation.from_json(self.station_dict), - TrafficSensorStation.from_json(station_dict_2) + TrafficSensorStation.from_json(self.station2_dict) ] # Mock the stations_to_process parameter to be None @@ -53,7 +51,7 @@ def test_get_traffic_station_gets_stations_from_cache(self, get_traffic_stations }) # Test that the return value contains the entire list of stations - self.assertEqual(return_value, [self.station_dict, station_dict_2]) + self.assertEqual(return_value, [self.station_dict, self.station2_dict]) @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.get_traffic_stations_from_cache") def test_get_traffic_station_retrieves_passed_stations(self, get_traffic_stations_mock): @@ -66,11 +64,9 @@ def test_get_traffic_station_retrieves_passed_stations(self, get_traffic_station task_function = task.python_callable # Mock the available list of stations - station_dict_2 = self.station_dict.copy() - station_dict_2["code"] = "station_temp" get_traffic_stations_mock.return_value = [ TrafficSensorStation.from_json(self.station_dict), - TrafficSensorStation.from_json(station_dict_2) + TrafficSensorStation.from_json(self.station2_dict) ] # Mock the stations_to_process parameter to be only one value From d5045960ba556f1335f1baf3ebb81be348a0b566 Mon Sep 17 00:00:00 2001 From: Simone Brentan Date: Wed, 3 Apr 2024 14:46:07 +0200 Subject: [PATCH 061/154] Added validator tests --- pollution_v2/src/tests/test_common.py | 64 ++++--- .../src/tests/test_pollution_computation.py | 4 +- .../src/tests/test_pollution_connector_dag.py | 6 +- .../tests/test_pollution_connector_tasks.py | 10 +- pollution_v2/src/tests/test_validation.py | 162 ++++++++++++++++++ pollution_v2/src/tests/test_validator_dag.py | 67 ++++++++ .../src/tests/test_validator_tasks.py | 162 ++++++++++++++++++ 7 files changed, 443 insertions(+), 32 deletions(-) create mode 100644 pollution_v2/src/tests/test_validation.py create mode 100644 pollution_v2/src/tests/test_validator_dag.py create mode 100644 pollution_v2/src/tests/test_validator_tasks.py diff --git a/pollution_v2/src/tests/test_common.py b/pollution_v2/src/tests/test_common.py index 4b691bc3..aa025745 100644 --- a/pollution_v2/src/tests/test_common.py +++ b/pollution_v2/src/tests/test_common.py @@ -10,16 +10,18 @@ import pendulum from common.connector.common import ODHBaseConnector +from common.connector.traffic import TrafficODHConnector from common.connector.validation import ValidationODHConnector from common.data_model import TrafficSensorStation -from common.settings import DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN +from common.settings import DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN, DAG_VALIDATION_TRIGGER_DAG_HOURS_SPAN -class TestPollutionComputerCommon(TestCase): +class TestDAGCommon(TestCase): def setUp(self): self.dagbag = DagBag() self.pollution_computer_dag_id = "pollution_computer" + self.validator_dag_id = "validator" # Task IDs self.get_stations_list_task_id = "get_stations_list" @@ -53,23 +55,9 @@ def setUp(self): self.station4_dict = self.station_dict.copy() self.station4_dict["code"] = "4" - def __mock_get_starting_date_allow_limited_stations(self, allowed_stations: list[dict]) -> Callable[[ODHBaseConnector, TrafficSensorStation, datetime], datetime]: - span_hours = DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN - ending_date = pendulum.now() - included_starting_date = ending_date.subtract(hours=span_hours + 2) - excluded_starting_date = ending_date.subtract(hours=span_hours - 2) - def get_starting_date_mock(connector: ODHBaseConnector, traffic_station: TrafficSensorStation, - min_from_date: datetime) -> datetime: - if isinstance(connector, ValidationODHConnector): - return ending_date - else: - if traffic_station.code in [station["code"] for station in allowed_stations]: - return included_starting_date - return excluded_starting_date - return get_starting_date_mock + def __mock_whats_next(self, all_stations: list[dict], allowed_stations: list[dict], dag_id: str, + get_starting_date_mock_func: Callable[[ODHBaseConnector, TrafficSensorStation, datetime], datetime]): - - def mock_whats_next_run_allow_limited_stations(self, all_stations: list[dict], allowed_stations: list[dict]): with patch("dags.common.TrafficStationsDAG.get_stations_list") as get_stations_list_mock: with patch("common.manager.traffic_station.TrafficStationManager.get_starting_date") as get_starting_date_mock: @@ -77,10 +65,46 @@ def mock_whats_next_run_allow_limited_stations(self, all_stations: list[dict], a get_stations_list_mock.return_value = [ TrafficSensorStation.from_json(station_dict) for station_dict in all_stations ] - get_starting_date_mock.side_effect = self.__mock_get_starting_date_allow_limited_stations(allowed_stations) + get_starting_date_mock.side_effect = get_starting_date_mock_func # Run the whats_next task - dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) + dag = self.dagbag.get_dag(dag_id=dag_id) task = dag.get_task(self.whats_next_task_id) task_function = task.python_callable task_function(all_stations) + + def mock_validator_whats_next_run_allow_limited_stations(self, all_stations: list[dict], allowed_stations: list[dict]): + + span_hours = DAG_VALIDATION_TRIGGER_DAG_HOURS_SPAN + ending_date = pendulum.now() + included_starting_date = ending_date.subtract(hours=span_hours + 2) + excluded_starting_date = ending_date.subtract(hours=span_hours - 2) + + def get_starting_date_mock_func(connector: ODHBaseConnector, traffic_station: TrafficSensorStation, + min_from_date: datetime) -> datetime: + if isinstance(connector, TrafficODHConnector): + return ending_date + else: + if traffic_station.code in [station["code"] for station in allowed_stations]: + return included_starting_date + return excluded_starting_date + + self.__mock_whats_next(all_stations, allowed_stations, self.validator_dag_id, get_starting_date_mock_func) + + def mock_pollution_computer_whats_next_run_allow_limited_stations(self, all_stations: list[dict], allowed_stations: list[dict]): + + span_hours = DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN + ending_date = pendulum.now() + included_starting_date = ending_date.subtract(hours=span_hours + 2) + excluded_starting_date = ending_date.subtract(hours=span_hours - 2) + + def get_starting_date_mock_func(connector: ODHBaseConnector, traffic_station: TrafficSensorStation, + min_from_date: datetime) -> datetime: + if isinstance(connector, ValidationODHConnector): + return ending_date + else: + if traffic_station.code in [station["code"] for station in allowed_stations]: + return included_starting_date + return excluded_starting_date + + self.__mock_whats_next(all_stations, allowed_stations, self.pollution_computer_dag_id, get_starting_date_mock_func) diff --git a/pollution_v2/src/tests/test_pollution_computation.py b/pollution_v2/src/tests/test_pollution_computation.py index 96e82aa8..9aa62330 100644 --- a/pollution_v2/src/tests/test_pollution_computation.py +++ b/pollution_v2/src/tests/test_pollution_computation.py @@ -11,10 +11,10 @@ from common.data_model import TrafficSensorStation from common.settings import ODH_COMPUTATION_BATCH_SIZE, DEFAULT_TIMEZONE -from tests.test_common import TestPollutionComputerCommon +from tests.test_common import TestDAGCommon -class TestPollutionComputerDAGTasks(TestPollutionComputerCommon): +class TestPollutionComputation(TestDAGCommon): def setUp(self): diff --git a/pollution_v2/src/tests/test_pollution_connector_dag.py b/pollution_v2/src/tests/test_pollution_connector_dag.py index 04357605..6a01d9d9 100644 --- a/pollution_v2/src/tests/test_pollution_connector_dag.py +++ b/pollution_v2/src/tests/test_pollution_connector_dag.py @@ -6,16 +6,14 @@ from unittest import mock import dateutil -import pendulum -import pytz from airflow.models import Variable from common.settings import DEFAULT_TIMEZONE -from tests.test_common import TestPollutionComputerCommon +from tests.test_common import TestDAGCommon -class TestPollutionComputerDAG(TestPollutionComputerCommon): +class TestPollutionComputerDAG(TestDAGCommon): def test_pollution_computer_dag_import(self): """ diff --git a/pollution_v2/src/tests/test_pollution_connector_tasks.py b/pollution_v2/src/tests/test_pollution_connector_tasks.py index 041aa132..73406757 100644 --- a/pollution_v2/src/tests/test_pollution_connector_tasks.py +++ b/pollution_v2/src/tests/test_pollution_connector_tasks.py @@ -3,14 +3,12 @@ # SPDX-License-Identifier: AGPL-3.0-or-later from unittest.mock import patch, ANY, Mock -import pendulum - from common.data_model import TrafficSensorStation from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE -from tests.test_common import TestPollutionComputerCommon +from tests.test_common import TestDAGCommon -class TestPollutionComputerDAGTasks(TestPollutionComputerCommon): +class TestPollutionComputerDAGTasks(TestDAGCommon): @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.get_traffic_stations_from_cache") def test_get_traffic_station_is_called(self, get_traffic_stations_mock): @@ -116,7 +114,7 @@ def test_trigger_next_dag_run_triggers_task_with_station(self, trigger_dag_run_m trigger_dag_run_mock.return_value = None all_stations = [self.station_dict, self.station2_dict] - self.mock_whats_next_run_allow_limited_stations(all_stations, all_stations) + self.mock_pollution_computer_whats_next_run_allow_limited_stations(all_stations, all_stations) # Test that the trigger_dag_run method is called dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) @@ -138,7 +136,7 @@ def test_trigger_next_dag_run_passes_correct_stations(self, trigger_dag_run_mock all_stations = [self.station_dict, self.station2_dict, self.station3_dict, self.station4_dict] allowed_stations = [self.station_dict, self.station3_dict] - self.mock_whats_next_run_allow_limited_stations(all_stations, allowed_stations) + self.mock_pollution_computer_whats_next_run_allow_limited_stations(all_stations, allowed_stations) # Test that the trigger_dag_run method is called with the correct input dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) diff --git a/pollution_v2/src/tests/test_validation.py b/pollution_v2/src/tests/test_validation.py new file mode 100644 index 00000000..b272ffd0 --- /dev/null +++ b/pollution_v2/src/tests/test_validation.py @@ -0,0 +1,162 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +import importlib +from datetime import datetime, timedelta +from unittest import mock +from unittest.mock import patch, ANY + +from airflow.models import Variable + +from common.data_model import TrafficSensorStation +from common.settings import ODH_COMPUTATION_BATCH_SIZE, DEFAULT_TIMEZONE +from tests.test_common import TestDAGCommon + + +class TestValidation(TestDAGCommon): + + def setUp(self): + + super().setUp() + + self.min_date = DEFAULT_TIMEZONE.localize(datetime(2022, 1, 1)) + self.max_date = DEFAULT_TIMEZONE.localize(datetime(2024, 1, 31)) + self.latest_date = DEFAULT_TIMEZONE.localize(datetime(2024, 1, 30)) + + @patch("dags.common.TrafficStationsDAG.init_date_range") + @patch("validator.manager.validation.ValidationManager._upload_data") + @patch("validator.model.validation_model.ValidationModel.compute_data") + @patch("validator.manager.validation.ValidationManager.get_starting_date") + @patch("common.manager.traffic_station.TrafficStationManager._get_latest_date") + @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") + def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, get_start_date_mock, + compute_mock, upload_mock, init_date_range_mock): + """ + Test that the run_computation_for_station method is called with the correct date range. + """ + batch_size = "30" + with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE=batch_size))): + # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE variable + from common import settings + importlib.reload(settings) + assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE") + + # Get the process_station task + dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) + task = dag.get_task(self.process_station_task_id) + task_function = task.python_callable + init_date_range_mock.return_value = (self.min_date, self.max_date) + + start_date = DEFAULT_TIMEZONE.localize(datetime(2024, 1, 30)) + get_start_date_mock.return_value = start_date + + # Start task to run computation + task_function(self.station_dict) + + station = TrafficSensorStation.from_json(self.station_dict) + + get_start_date_mock.assert_called_once_with(ANY, station, self.min_date) + latest_date_mock.assert_not_called() + + # Test that the run_computation_for_station method is called with the correct daily date range + + download_mock.assert_called_once_with(start_date, self.max_date, station) + compute_mock.assert_called_once() + upload_mock.assert_called_once() + + @patch("dags.common.TrafficStationsDAG.init_date_range") + @patch("validator.manager.validation.ValidationManager._upload_data") + @patch("validator.model.validation_model.ValidationModel.compute_data") + @patch("validator.manager.validation.ValidationManager.get_starting_date") + @patch("common.manager.traffic_station.TrafficStationManager._get_latest_date") + @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") + def test_run_computation_date_range_when_more_data(self, download_mock, latest_date_mock, get_start_date_mock, + compute_mock, upload_mock, init_date_range_mock): + """ + Test that the run_computation_for_station method is called with the correct date range. + """ + batch_size = "30" + with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE=batch_size))): + # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE variable + from common import settings + importlib.reload(settings) + assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE") + + # Get the process_station task + dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) + task = dag.get_task(self.process_station_task_id) + task_function = task.python_callable + init_date_range_mock.return_value = (self.min_date, self.max_date) + + # start_date is the latest validation found + # latest_date is the latest traffic data found + start_date = DEFAULT_TIMEZONE.localize(datetime(2023, 1, 1)) + latest_date_mock.return_value = self.latest_date + get_start_date_mock.return_value = start_date + + # The correct end date is the start date plus the batch size + correct_end_date = start_date + timedelta(days=ODH_COMPUTATION_BATCH_SIZE) + + # Start task to run computation + task_function(self.station_dict) + + station = TrafficSensorStation.from_json(self.station_dict) + + get_start_date_mock.assert_called_once_with(ANY, station, self.min_date) + if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: + latest_date_mock.assert_called_once_with(ANY, station) + else: + latest_date_mock.assert_not_called() + + # Test that the run_computation_for_station method is called with the correct batch date range + # A lot of data is available, so the end date is the start date plus the batch size + download_mock.assert_called_once_with(start_date, correct_end_date, station) + compute_mock.assert_called_once() + upload_mock.assert_called_once() + + @patch("dags.common.TrafficStationsDAG.init_date_range") + @patch("validator.manager.validation.ValidationManager._upload_data") + @patch("validator.model.validation_model.ValidationModel.compute_data") + @patch("validator.manager.validation.ValidationManager.get_starting_date") + @patch("common.manager.traffic_station.TrafficStationManager._get_latest_date") + @patch("common.manager.traffic_station.TrafficStationManager._download_traffic_data") + def test_run_computation_date_range_when_few_data(self, download_mock, latest_date_mock, get_start_date_mock, + compute_mock, upload_mock, init_date_range_mock): + """ + Test that the run_computation_for_station method is called with the correct date range. + """ + batch_size = "30" + with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE=batch_size))): + # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE variable + from common import settings + importlib.reload(settings) + assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE") + + # Get the process_station task + dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) + task = dag.get_task(self.process_station_task_id) + task_function = task.python_callable + init_date_range_mock.return_value = (self.min_date, self.max_date) + + # start_date is the latest validation found + # latest_date is the latest traffic data found + start_date = DEFAULT_TIMEZONE.localize(datetime(2024, 1, 15)) + latest_date_mock.return_value = self.latest_date + get_start_date_mock.return_value = start_date + + # Start task to run computation + task_function(self.station_dict) + + station = TrafficSensorStation.from_json(self.station_dict) + get_start_date_mock.assert_called_once_with(ANY, station, self.min_date) + if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: + latest_date_mock.assert_called_once_with(ANY, station) + else: + latest_date_mock.assert_not_called() + + # Test that the run_computation_for_station method is called with the correct batch date range + # Few data is available, so the end date is the max date + download_mock.assert_called_once_with(start_date, self.max_date, station) + compute_mock.assert_called_once() + upload_mock.assert_called_once() diff --git a/pollution_v2/src/tests/test_validator_dag.py b/pollution_v2/src/tests/test_validator_dag.py new file mode 100644 index 00000000..df848fd7 --- /dev/null +++ b/pollution_v2/src/tests/test_validator_dag.py @@ -0,0 +1,67 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later + +import importlib +from unittest import mock + +import dateutil +from airflow.models import Variable + +from common.settings import DEFAULT_TIMEZONE +from tests.test_common import TestDAGCommon + + +class TestValidatorDAG(TestDAGCommon): + + def test_pollution_computer_dag_import(self): + """ + Test that the DAG is correctly imported. + """ + assert self.dagbag.import_errors == {} + assert self.dagbag.dags is not None + assert self.validator_dag_id in self.dagbag.dags + + dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) + assert self.dagbag.import_errors == {} + assert dag is not None + + dag_tasks = [self.get_stations_list_task_id, self.process_station_task_id, self.whats_next_task_id] + assert len(dag.tasks) == len(dag_tasks) + for task in dag_tasks: + assert dag.has_task(task) + + def test_dag_task_dependencies(self): + """ + Test that the tasks in the DAG are correctly connected. + The task_dependencies dictionary contains the list of downstream tasks for each task. + """ + dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) + for task_id, downstream_list in self.task_dependencies.items(): + assert dag.has_task(task_id) + task = dag.get_task(task_id) + assert task.downstream_task_ids == set(downstream_list) + if len(downstream_list) > 0: + downstream_task = dag.get_task(downstream_list[0]) + assert task in downstream_task.upstream_list + + def test_pollution_computer_dag_starting_date(self): + """ + Test that the DAG has the correct starting date from the ODH_MINIMUM_STARTING_DATE variable. + Change the ODH_MINIMUM_STARTING_DATE variable in the environment and check the DAG starting date is updated. + """ + starting_date = "2021-02-03" + with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE=starting_date))): + # Reloading settings in order to update the ODH_MINIMUM_STARTING_DATE variable + from common import settings + importlib.reload(settings) + assert starting_date == Variable.get("ODH_MINIMUM_STARTING_DATE") + + parsed_date = dateutil.parser.parse(starting_date) + assert parsed_date == settings.ODH_MINIMUM_STARTING_DATE + parsed_date = DEFAULT_TIMEZONE.localize(parsed_date) + + # Importing the dag after the settings have been reloaded + from dags.aiaas_pollution_computer import dag as pollution_computer_dag + assert parsed_date == pollution_computer_dag.start_date + assert parsed_date == pollution_computer_dag.default_args["start_date"] diff --git a/pollution_v2/src/tests/test_validator_tasks.py b/pollution_v2/src/tests/test_validator_tasks.py new file mode 100644 index 00000000..954cde78 --- /dev/null +++ b/pollution_v2/src/tests/test_validator_tasks.py @@ -0,0 +1,162 @@ +# SPDX-FileCopyrightText: NOI Techpark +# +# SPDX-License-Identifier: AGPL-3.0-or-later +from unittest.mock import patch, ANY, Mock + +from common.data_model import TrafficSensorStation +from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE +from tests.test_common import TestDAGCommon + + +class TestValidatorDAGTasks(TestDAGCommon): + + @patch("validator.manager.validation.ValidationManager.get_traffic_stations_from_cache") + def test_get_traffic_station_is_called(self, get_traffic_stations_mock): + """ + Test that the get_traffic_stations_from_cache method is called when the get_stations_list task is run. + """ + # Run the get_stations_list task + dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) + task = dag.get_task(self.get_stations_list_task_id) + task_function = task.python_callable + + # Mock the stations_to_process parameter to be None + task_function(**{ + "dag_run": Mock(conf={"stations_to_process": None}) + }) + + get_traffic_stations_mock.assert_called_once() + + @patch("validator.manager.validation.ValidationManager.get_traffic_stations_from_cache") + def test_get_traffic_station_gets_stations_from_cache(self, get_traffic_stations_mock): + """ + Test that the get_traffic_stations_from_cache method is called when the get_stations_list task is run. + """ + # Run the get_stations_list task + dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) + task = dag.get_task(self.get_stations_list_task_id) + task_function = task.python_callable + + # Mock the available list of stations + get_traffic_stations_mock.return_value = [ + TrafficSensorStation.from_json(self.station_dict), + TrafficSensorStation.from_json(self.station2_dict) + ] + + # Mock the stations_to_process parameter to be None + return_value = task_function(**{ + "dag_run": Mock(conf={"stations_to_process": None}) + }) + + # Test that the return value contains the entire list of stations + self.assertEqual(return_value, [self.station_dict, self.station2_dict]) + + @patch("validator.manager.validation.ValidationManager.get_traffic_stations_from_cache") + def test_get_traffic_station_retrieves_passed_stations(self, get_traffic_stations_mock): + """ + Test that the get_traffic_stations_from_cache method is called when the get_stations_list task is run. + """ + # Run the get_stations_list task + dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) + task = dag.get_task(self.get_stations_list_task_id) + task_function = task.python_callable + + # Mock the available list of stations + get_traffic_stations_mock.return_value = [ + TrafficSensorStation.from_json(self.station_dict), + TrafficSensorStation.from_json(self.station2_dict) + ] + + # Mock the stations_to_process parameter to be only one value + return_value = task_function(**{ + "dag_run": Mock(conf={"stations_to_process": [self.station_dict["code"]]}) + }) + + # Test that the return value contains only the passed station + self.assertEqual(return_value, [self.station_dict]) + + @patch("validator.manager.validation.ValidationManager.run_computation_for_station") + def test_run_computation_for_station_is_called(self, run_computation_for_station_mock): + """ + Test that the run_computation_for_station method is called when the process_station task is run. + """ + # Run the process_station task + dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) + task = dag.get_task(self.process_station_task_id) + task_function = task.python_callable + task_function(self.station_dict) + + run_computation_for_station_mock.assert_called_once() + + @patch("validator.manager.validation.ValidationManager.run_computation_for_station") + def test_run_computation_for_station_gets_correct_input(self, run_computation_for_station_mock): + """ + Test that the run_computation_for_station method is called when the process_station task is run. + """ + # Run the process_station task + dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) + task = dag.get_task(self.process_station_task_id) + task_function = task.python_callable + task_function(self.station_dict) + + run_computation_for_station_mock.assert_called_once_with( + TrafficSensorStation.from_json(self.station_dict), + ANY, # This corresponds to the min_from_date parameter + ANY # This corresponds to the max_to_date parameter + ) + + @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.execute") + @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.__init__") + def test_trigger_next_dag_run_triggers_task_with_station(self, trigger_dag_run_mock, trigger_dag_run_execute_mock): + """ + Test that the TriggerDagRunOperator is called when the whats_next task is run with a station with remaining data. + """ + trigger_dag_run_mock.return_value = None + + all_stations = [self.station_dict, self.station2_dict] + self.mock_validator_whats_next_run_allow_limited_stations(all_stations, all_stations) + + # Test that the trigger_dag_run method is called + dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) + trigger_dag_run_mock.assert_called_once_with( + task_id="run_again_the_dag", + dag=dag, + trigger_dag_id=self.validator_dag_id, + conf={"stations_to_process": [station['code'] for station in all_stations]} + ) + trigger_dag_run_execute_mock.assert_called_once() + + @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.execute") + @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.__init__") + def test_trigger_next_dag_run_passes_correct_stations(self, trigger_dag_run_mock, trigger_dag_run_execute_mock): + """ + Test that the trigger_next_dag_run method is called with the correct input when the whats_next task is run. + """ + trigger_dag_run_mock.return_value = None + + all_stations = [self.station_dict, self.station2_dict, self.station3_dict, self.station4_dict] + allowed_stations = [self.station_dict, self.station3_dict] + self.mock_validator_whats_next_run_allow_limited_stations(all_stations, allowed_stations) + + # Test that the trigger_dag_run method is called with the correct input + dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) + trigger_dag_run_mock.assert_called_once_with( + task_id="run_again_the_dag", + dag=dag, + trigger_dag_id=self.validator_dag_id, + conf={"stations_to_process": [station['code'] for station in allowed_stations]} + ) + + trigger_dag_run_execute_mock.assert_called_once() + + def test_init_date_range(self): + """ + Test that the init_date_range method returns the correct date range. + """ + # Run the init_date_range method + dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) + min_from_date, max_to_date = dag.init_date_range(None, None) + + # Test that the returned date range is correct + self.assertEqual(min_from_date, DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE)) + assert max_to_date > min_from_date From c2be08a1006c2b5bf5310124869584695f6484d0 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Wed, 3 Apr 2024 17:12:15 +0200 Subject: [PATCH 062/154] pollution_v2: download data by period and many fix on validation - issue #24 --- pollution_v2/src/common/connector/common.py | 71 +++++++++--------- pollution_v2/src/common/connector/history.py | 5 +- .../src/common/connector/pollution.py | 5 +- pollution_v2/src/common/connector/traffic.py | 5 +- .../src/common/connector/validation.py | 5 +- pollution_v2/src/common/data_model/common.py | 71 +----------------- .../src/common/data_model/pollution.py | 15 +++- pollution_v2/src/common/data_model/station.py | 74 ++++++++++++++++++- pollution_v2/src/common/data_model/traffic.py | 4 + .../src/common/data_model/validation.py | 71 +++--------------- .../src/common/manager/traffic_station.py | 10 ++- pollution_v2/src/common/model/helper.py | 32 ++++---- .../manager/pollution_computation.py | 2 +- pollution_v2/src/validator/Input.py | 3 +- pollution_v2/src/validator/Station.py | 2 +- pollution_v2/src/validator/Validator.py | 4 +- .../src/validator/manager/validation.py | 23 ++++-- .../src/validator/model/validation_model.py | 11 +-- 18 files changed, 202 insertions(+), 211 deletions(-) diff --git a/pollution_v2/src/common/connector/common.py b/pollution_v2/src/common/connector/common.py index ca6c9f87..eb2db066 100644 --- a/pollution_v2/src/common/connector/common.py +++ b/pollution_v2/src/common/connector/common.py @@ -105,7 +105,8 @@ def __init__(self, requests_timeout: float, requests_max_retries: int, requests_sleep_time: float, - requests_retry_sleep_time: float): + requests_retry_sleep_time: float, + period: int): self._authentication_url = authentication_url self._base_reader_url = base_reader_url @@ -123,6 +124,7 @@ def __init__(self, self._requests_max_retries = requests_max_retries self._requests_sleep_time = requests_sleep_time self._requests_retry_sleep_time = requests_retry_sleep_time + self._period = period self._keycloak_openid = KeycloakOpenID(server_url=self._authentication_url, client_id=self._client_id, @@ -300,31 +302,22 @@ def get_station_list(self) -> list[StationType]: return [self.build_station(raw_station) for raw_station in raw_stations] def get_latest_measures(self, station: Optional[Station or str] = None, - period_to_exclude: int = None) -> List[MeasureType]: + period_to_include: int = None) -> List[MeasureType]: """ Retrieve the last measure for the connector DataType. :param station: If set, it is possible to retrieve only the measures for the given station. It can be a string representing the station code or a Station object. - :param period_to_exclude: If set, it allows filtering on period; otherwise, no filter on period + :param period_to_include: If set, it allows filtering including period; otherwise, no filter on period :return: The list of measures """ + + where_conds = self.__build_where_conds(station, period_to_include) query_params = {} + if len(where_conds) > 0: + query_params["where"] = f'and({",".join(where_conds)})' - if station: - if isinstance(station, str): - code = station - elif isinstance(station, Station): - code = station.code - else: - raise TypeError(f"Unable to handle a parameter of type [{type(station)}] as station") - if period_to_exclude is None: - query_params["where"] = f'scode.eq."{code}"' - else: - query_params["where"] = f'and(scode.eq."{code}",mperiod.neq.{period_to_exclude})' - logger.info(f"Retrieving latest measures on [{type(self).__name__}] for station [{code}]") - else: - logger.info("Retrieving latest measures on [{type(self).__name__}] for all stations") + logger.info(f"Retrieving latest measures on [{type(self).__name__}] with where [{query_params['where']}]") raw_measures = self._get_result_list( path=f"/v2/flat,node/{self._station_type}/{','.join(self._measure_types)}/latest", @@ -334,7 +327,7 @@ def get_latest_measures(self, station: Optional[Station or str] = None, return [self.build_measure(raw_measure) for raw_measure in raw_measures] def get_measures(self, from_date: datetime, to_date: datetime, station: Optional[Station or str] = None, - period_to_exclude: int = None) -> List[MeasureType]: + period_to_include: int = None) -> List[MeasureType]: """ Retrieve the measures for the connector DataType in the given interval. @@ -342,15 +335,35 @@ def get_measures(self, from_date: datetime, to_date: datetime, station: Optional :param to_date: The end date of the interval :param station: If set, it is possible to retrieve only the measures for the given station. It can be a string representing the station code or a Station object. - :param period_to_exclude: If set, it allows filtering on period; otherwise, no filter on period + :param period_to_include: If set, it allows filtering including period; otherwise, no filter on period :return: the list of Measures """ - query_params = {} + if period_to_include is None: + period_to_include = self._period iso_from_date = from_date.isoformat(timespec="milliseconds") iso_to_date = to_date.isoformat(timespec="milliseconds") + where_conds = self.__build_where_conds(station, period_to_include) + query_params = {} + if len(where_conds) > 0: + query_params["where"] = f'and({",".join(where_conds)})' + + logger.info(f"Retrieving measures on [{type(self).__name__}] from date [{iso_from_date}] " + f"to date [{iso_to_date}] with where [{query_params['where']}]") + + raw_measures = self._get_result_list( + path=f"/v2/flat,node/{self._station_type}/{','.join(self._measure_types)}/{iso_from_date}/{iso_to_date}", + query_params=query_params + ) + + return [self.build_measure(raw_measure) for raw_measure in raw_measures] + + def __build_where_conds(self, station: Optional[Station or str] = None, + period_to_include: int = None) -> List[str]: + + where_condition = [] if station: if isinstance(station, str): code = station @@ -358,22 +371,12 @@ def get_measures(self, from_date: datetime, to_date: datetime, station: Optional code = station.code else: raise TypeError(f"Unable to handle a parameter of type [{type(station)}] as station") - if period_to_exclude is None: - query_params["where"] = f'scode.eq."{code}"' - else: - query_params["where"] = f'and(scode.eq."{code}",mperiod.neq.{period_to_exclude})' - logger.info(f"Retrieving measures on [{type(self).__name__}] from date [{iso_from_date}] " - f"to date [{iso_to_date}] for station [{code}]") - else: - logger.info(f"Retrieving measures on [{type(self).__name__}] from date [{iso_from_date}] " - f"to date [{iso_to_date}] for all stations") + where_condition.append(f'scode.eq."{code}"') - raw_measures = self._get_result_list( - path=f"/v2/flat,node/{self._station_type}/{','.join(self._measure_types)}/{iso_from_date}/{iso_to_date}", - query_params=query_params - ) + if period_to_include is not None: + where_condition.append(f'mperiod.eq.{period_to_include}') - return [self.build_measure(raw_measure) for raw_measure in raw_measures] + return where_condition def _post_request(self, path: str, raw_data: dict or list, query_params: Optional[dict] = None) -> str or dict or list: diff --git a/pollution_v2/src/common/connector/history.py b/pollution_v2/src/common/connector/history.py index 88774ca6..0e997d92 100644 --- a/pollution_v2/src/common/connector/history.py +++ b/pollution_v2/src/common/connector/history.py @@ -9,6 +9,7 @@ from common.connector.common import ODHBaseConnector from common.data_model.history import HistoryMeasure from common.data_model.traffic import TrafficSensorStation +from common.settings import PERIOD_1DAY class HistoryODHConnector(ODHBaseConnector[HistoryMeasure, TrafficSensorStation]): @@ -33,6 +34,7 @@ def __init__(self, measure_types = [ "Nr. Vehicles" ] + period = PERIOD_1DAY super().__init__(base_reader_url, base_writer_url, @@ -49,7 +51,8 @@ def __init__(self, requests_timeout, requests_max_retries, requests_sleep_time, - requests_retry_sleep_time) + requests_retry_sleep_time, + period) @staticmethod def build_station(raw_station: dict) -> TrafficSensorStation: diff --git a/pollution_v2/src/common/connector/pollution.py b/pollution_v2/src/common/connector/pollution.py index f34968a3..c0db6f5a 100644 --- a/pollution_v2/src/common/connector/pollution.py +++ b/pollution_v2/src/common/connector/pollution.py @@ -9,6 +9,7 @@ from common.connector.common import ODHBaseConnector from common.data_model.pollution import PollutionMeasure from common.data_model.traffic import TrafficSensorStation +from common.settings import PERIOD_10MIN class PollutionODHConnector(ODHBaseConnector[PollutionMeasure, TrafficSensorStation]): @@ -32,6 +33,7 @@ def __init__(self, station_type = "TrafficSensor" measure_types = PollutionMeasure.get_data_types() measure_types = [measure_type.name for measure_type in measure_types] + period = PERIOD_10MIN super().__init__(base_reader_url, base_writer_url, @@ -48,7 +50,8 @@ def __init__(self, requests_timeout, requests_max_retries, requests_sleep_time, - requests_retry_sleep_time) + requests_retry_sleep_time, + period) @staticmethod def build_station(raw_station: dict) -> TrafficSensorStation: diff --git a/pollution_v2/src/common/connector/traffic.py b/pollution_v2/src/common/connector/traffic.py index f18c129f..5423e4f6 100644 --- a/pollution_v2/src/common/connector/traffic.py +++ b/pollution_v2/src/common/connector/traffic.py @@ -8,6 +8,7 @@ from common.connector.common import ODHBaseConnector from common.data_model.traffic import TrafficMeasure, TrafficSensorStation +from common.settings import PERIOD_10MIN class TrafficODHConnector(ODHBaseConnector[TrafficMeasure, TrafficSensorStation]): @@ -37,6 +38,7 @@ def __init__(self, "Average Speed Heavy Vehicles", "Average Speed Light Vehicles" ] + period = PERIOD_10MIN super().__init__(base_reader_url, base_writer_url, @@ -53,7 +55,8 @@ def __init__(self, requests_timeout, requests_max_retries, requests_sleep_time, - requests_retry_sleep_time) + requests_retry_sleep_time, + period) @staticmethod def build_station(raw_station: dict) -> TrafficSensorStation: diff --git a/pollution_v2/src/common/connector/validation.py b/pollution_v2/src/common/connector/validation.py index 091c0efd..0939d579 100644 --- a/pollution_v2/src/common/connector/validation.py +++ b/pollution_v2/src/common/connector/validation.py @@ -10,6 +10,7 @@ from common.data_model.pollution import PollutionMeasure from common.data_model.traffic import TrafficSensorStation from common.data_model.validation import ValidationMeasure +from common.settings import PERIOD_10MIN class ValidationODHConnector(ODHBaseConnector[ValidationMeasure, TrafficSensorStation]): @@ -32,6 +33,7 @@ def __init__(self, station_type = "TrafficSensor" measure_types = [measure_type.name for measure_type in ValidationMeasure.get_data_types()] + period = PERIOD_10MIN super().__init__(base_reader_url, base_writer_url, @@ -48,7 +50,8 @@ def __init__(self, requests_timeout, requests_max_retries, requests_sleep_time, - requests_retry_sleep_time) + requests_retry_sleep_time, + period) @staticmethod def build_station(raw_station: dict) -> TrafficSensorStation: diff --git a/pollution_v2/src/common/data_model/common.py b/pollution_v2/src/common/data_model/common.py index f7cb8ab4..210a0917 100644 --- a/pollution_v2/src/common/data_model/common.py +++ b/pollution_v2/src/common/data_model/common.py @@ -14,6 +14,9 @@ import logging +from common.data_model.entry import GenericEntryType +from common.data_model.station import StationType, Station + logger = logging.getLogger("pollution_v2.common.data_model.common") @@ -112,74 +115,6 @@ def to_odh_repr(self) -> dict: MeasureType = TypeVar("MeasureType", bound=Measure) -@dataclass -class Station: - - code: str - active: bool - available: bool - coordinates: dict - metadata: dict - name: str - station_type: str - origin: Optional[str] - - @property - def km(self) -> float: - """ - Returns station mileage. - """ - if self.metadata.get("a22_metadata"): - metadata = ast.literal_eval(self.metadata["a22_metadata"]) - if metadata.get("metro"): - return (int(metadata["metro"])) / 1000 - logger.warning(f"Mileage not defined for station [{self.code}]") - return -1000 - - __version__: ClassVar[int] = 1 - - @classmethod - def from_odh_repr(cls, raw_data: dict): - return cls( - code=raw_data["scode"], - active=raw_data["sactive"], - available=raw_data["savailable"], - coordinates=raw_data["scoordinate"], - metadata=raw_data["smetadata"], - name=raw_data["sname"], - station_type=raw_data["stype"], - origin=raw_data.get("sorigin") - ) - - def to_json(self) -> dict: - return { - "code": self.code, - "active": self.active, - "available": self.available, - "coordinates": self.coordinates, - "metadata": self.metadata, - "name": self.name, - "station_type": self.station_type, - "origin": self.origin - } - - @classmethod - def from_json(cls, dict_data) -> Station: - return Station( - code=dict_data["code"], - active=dict_data["active"], - available=dict_data["available"], - coordinates=dict_data["coordinates"], - metadata=dict_data["metadata"], - name=dict_data["name"], - station_type=dict_data["station_type"], - origin=dict_data["origin"] - ) - - -StationType = TypeVar("StationType", bound=Station) - - @dataclass class MeasureCollection(Generic[MeasureType, StationType]): """ diff --git a/pollution_v2/src/common/data_model/pollution.py b/pollution_v2/src/common/data_model/pollution.py index 709834d9..1e313de7 100644 --- a/pollution_v2/src/common/data_model/pollution.py +++ b/pollution_v2/src/common/data_model/pollution.py @@ -35,13 +35,22 @@ def __init__(self, station: TrafficSensorStation, valid_time: datetime, vehicle_ class PollutionMeasure(Measure): + """ + Measure representing pollution. + """ @staticmethod def get_data_types() -> List[DataType]: + """ + Returns the data types specific for this measure. + + :return: the data types specific for this measure + """ data_types = [] for vehicle in VehicleClass: for pollutant in PollutantClass: - data_types.append(DataType(f"{vehicle.name}-{pollutant.name}-emissions", f"{vehicle.value} emissions of {pollutant.name}", "total", "g/km", {})) + data_types.append(DataType(f"{vehicle.name}-{pollutant.name}-emissions", + f"{vehicle.value} emissions of {pollutant.name}", "total", "g/km", {})) return data_types @@ -49,8 +58,8 @@ def get_data_types() -> List[DataType]: class PollutionMeasureCollection(MeasureCollection[PollutionMeasure, TrafficSensorStation]): @staticmethod - def build_from_pollution_entries(pollution_entries: List[PollutionEntry], - provenance: Provenance) -> PollutionMeasureCollection: + def build_from_entries(pollution_entries: List[PollutionEntry], + provenance: Provenance) -> PollutionMeasureCollection: """ Build a PollutionMeasureCollection from the list of pollution entries. diff --git a/pollution_v2/src/common/data_model/station.py b/pollution_v2/src/common/data_model/station.py index d2b63c33..e788b576 100644 --- a/pollution_v2/src/common/data_model/station.py +++ b/pollution_v2/src/common/data_model/station.py @@ -4,19 +4,87 @@ from __future__ import absolute_import, annotations +import ast from dataclasses import dataclass import logging - -from common.data_model.common import Station +from typing import Optional, ClassVar, TypeVar logger = logging.getLogger("pollution_v2.common.data_model.station") +@dataclass +class Station: + + code: str + active: bool + available: bool + coordinates: dict + metadata: dict + name: str + station_type: str + origin: Optional[str] + + @property + def km(self) -> float: + """ + Returns station mileage. + """ + if self.metadata.get("a22_metadata"): + metadata = ast.literal_eval(self.metadata["a22_metadata"]) + if metadata.get("metro"): + return (int(metadata["metro"])) / 1000 + logger.warning(f"Mileage not defined for station [{self.code}]") + return -1000 + + __version__: ClassVar[int] = 1 + + @classmethod + def from_odh_repr(cls, raw_data: dict): + return cls( + code=raw_data["scode"], + active=raw_data["sactive"], + available=raw_data["savailable"], + coordinates=raw_data["scoordinate"], + metadata=raw_data["smetadata"], + name=raw_data["sname"], + station_type=raw_data["stype"], + origin=raw_data.get("sorigin") + ) + + def to_json(self) -> dict: + return { + "code": self.code, + "active": self.active, + "available": self.available, + "coordinates": self.coordinates, + "metadata": self.metadata, + "name": self.name, + "station_type": self.station_type, + "origin": self.origin + } + + @classmethod + def from_json(cls, dict_data) -> Station: + return Station( + code=dict_data["code"], + active=dict_data["active"], + available=dict_data["available"], + coordinates=dict_data["coordinates"], + metadata=dict_data["metadata"], + name=dict_data["name"], + station_type=dict_data["station_type"], + origin=dict_data["origin"] + ) + + +StationType = TypeVar("StationType", bound=Station) + + @dataclass class TrafficSensorStation(Station): """ - Class representing a traffic station + Class representing a traffic station. """ def split_station_code(self) -> (str, int, int): diff --git a/pollution_v2/src/common/data_model/traffic.py b/pollution_v2/src/common/data_model/traffic.py index cfa064ae..0437dc37 100644 --- a/pollution_v2/src/common/data_model/traffic.py +++ b/pollution_v2/src/common/data_model/traffic.py @@ -18,6 +18,10 @@ @dataclass class TrafficMeasure(Measure): + """ + Measure representing traffic. + """ + station: TrafficSensorStation @classmethod diff --git a/pollution_v2/src/common/data_model/validation.py b/pollution_v2/src/common/data_model/validation.py index 9cbab039..93244fd2 100644 --- a/pollution_v2/src/common/data_model/validation.py +++ b/pollution_v2/src/common/data_model/validation.py @@ -31,9 +31,17 @@ def __init__(self, station: TrafficSensorStation, valid_time: datetime, vehicle_ class ValidationMeasure(Measure): + """ + Measure representing validation. + """ @staticmethod def get_data_types() -> List[DataType]: + """ + Returns the data types specific for this measure. + + :return: the data types specific for this measure + """ data_types = [] for vehicle in VehicleClass: for validation_type in ValidationTypeClass: @@ -47,8 +55,8 @@ def get_data_types() -> List[DataType]: class ValidationMeasureCollection(MeasureCollection[ValidationMeasure, TrafficSensorStation]): @staticmethod - def build_from_validation_entries(validation_entries: List[ValidationEntry], - provenance: Provenance, filter_is_valid=False) -> ValidationMeasureCollection: + def build_from_entries(validation_entries: List[ValidationEntry], + provenance: Provenance, filter_is_valid=False) -> ValidationMeasureCollection: """ Build a ValidationMeasureCollection from the list of validation entries. @@ -74,62 +82,3 @@ def build_from_validation_entries(validation_entries: List[ValidationEntry], )) return ValidationMeasureCollection(validation_measures) - - def _build_entries_dictionary(self) -> Dict[str, Dict[datetime, Dict[VehicleClass, ValidationEntry]]]: - # A temporary dictionary used for faster aggregation of the results - # The dictionary will have the following structure - # StationCode -> (measure valid time -> (vehicle class -> TrafficEntry)) - result: Dict[str, Dict[datetime, Dict[VehicleClass, ValidationEntry]]] = {} - for measure in self.measures: - if measure.station.code not in result: - result[measure.station.code] = {} - if measure.valid_time not in result[measure.station.code]: - result[measure.station.code][measure.valid_time] = {} - if measure.vehicle_class not in result[measure.station.code][measure.valid_time]: - entry = ValidationEntry( - station=measure.station, - valid_time=measure.valid_time, - vehicle_class=measure.vehicle_class, - entry_class=None, - entry_value=None, - period=measure.period - ) - result[measure.station.code][measure.valid_time][measure.vehicle_class] = entry - else: - entry = result[measure.station.code][measure.valid_time][measure.vehicle_class] - - if measure.is_vehicle_counting_measure: - if entry.nr_of_vehicles is not None: - raise ValueError( - f"Duplicated measure for type [{measure.data_type.name}] " - f"on station [{measure.station.code}] for date [{measure.valid_time}]") - entry.nr_of_vehicles = measure.value - elif measure.is_average_speed_measure: - if entry.average_speed is not None: - raise ValueError( - f"Duplicated measure for type [{measure.data_type.name}] " - f"on station [{measure.station.code}] for date [{measure.valid_time}]") - entry.average_speed = measure.value - - return result - - # TODO unify on parent! - def _get_entries_iterator(self) -> Iterator[TrafficEntry]: - """ - Build and retrieve the iterator for list of traffic entry from the available measures - - :return: an iterator of traffic entries - """ - for station_dict in self._build_entries_dictionary().values(): - for date_dict in station_dict.values(): - for traffic_entry in date_dict.values(): - yield traffic_entry - - # TODO unify on parent! - def get_entries(self) -> List[TrafficEntry]: - """ - Build and retrieve the list of traffic entry from the available measures - - :return: a list of traffic entries - """ - return list(self._get_entries_iterator()) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index e4326f28..d29f692e 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -161,7 +161,9 @@ def get_traffic_stations_from_cache(self) -> List[TrafficSensorStation]: if len(self._traffic_stations) == 0: logger.info("Retrieving station list from ODH") self._traffic_stations = self.__get_station_list() - return self._traffic_stations + + # TODO check filter if to be kept + return [station for station in self._traffic_stations if station.code.startswith("A22:")] def __get_station_list(self) -> List[TrafficSensorStation]: """ @@ -172,7 +174,7 @@ def __get_station_list(self) -> List[TrafficSensorStation]: def _download_traffic_data(self, from_date: datetime, to_date: datetime, - traffic_station: TrafficSensorStation + traffic_station: TrafficSensorStation = None ) -> List[MeasureType]: """ Download traffic data measures in the given interval. @@ -182,8 +184,8 @@ def _download_traffic_data(self, :return: The resulting TrafficMeasureCollection containing the traffic data. """ - return self._connector_collector.traffic.get_measures(from_date=from_date, to_date=to_date, station=traffic_station, - period_to_exclude=PERIOD_1DAY) + return self._connector_collector.traffic.get_measures(from_date=from_date, to_date=to_date, + station=traffic_station) def _upload_data(self, input_entries: List[GenericEntry]) -> None: """ diff --git a/pollution_v2/src/common/model/helper.py b/pollution_v2/src/common/model/helper.py index c9e0a4a0..a8977a8f 100644 --- a/pollution_v2/src/common/model/helper.py +++ b/pollution_v2/src/common/model/helper.py @@ -3,13 +3,13 @@ # SPDX-License-Identifier: AGPL-3.0-or-later from datetime import date, datetime -from typing import Iterable, Set +from typing import Iterable, Set, List import pandas as pd import json import logging -from common.data_model.common import StationType +from common.data_model import TrafficSensorStation from common.data_model.history import HistoryEntry from common.data_model.traffic import TrafficEntry @@ -22,7 +22,7 @@ class ModelHelper: """ @staticmethod - def get_stations_dataframe(stations: dict[str, StationType]) -> pd.DataFrame: + def get_stations_dataframe(stations: List[TrafficSensorStation]) -> pd.DataFrame: """ Get a dataframe from the given list of traffic stations. The resulting dataframe will have the following columns: @@ -32,13 +32,14 @@ def get_stations_dataframe(stations: dict[str, StationType]) -> pd.DataFrame: :return: the station dataframe """ temp = [] - for entry in stations.values(): - temp.append({ - "station_id": entry.id_stazione, - "station_code": entry.code, - "km": entry.km, - "station_type": entry.station_type - }) + for entry in stations: + if entry.km > 0: + temp.append({ + "station_id": entry.id_stazione, + "station_code": entry.code, + "km": entry.km, + "station_type": entry.station_type + }) return pd.DataFrame(temp) @@ -114,11 +115,10 @@ def get_history_dataframe(history_entries: Iterable[HistoryEntry], date: date) - """ temp = [] for entry in history_entries: - if date == entry.valid_time.date(): - temp.append({ - "date": entry.valid_time.date().isoformat(), - "station_code": entry.valid_time.time().isoformat(), - "total_traffic": entry.station.id_strada - }) + temp.append({ + "date": entry.valid_time.date().isoformat(), + "station_code": entry.station.code, + "total_traffic": entry.nr_of_vehicles + }) return pd.DataFrame(temp) diff --git a/pollution_v2/src/pollution_connector/manager/pollution_computation.py b/pollution_v2/src/pollution_connector/manager/pollution_computation.py index af69bde9..bdcbd161 100644 --- a/pollution_v2/src/pollution_connector/manager/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/manager/pollution_computation.py @@ -78,4 +78,4 @@ def _get_data_types(self) -> List[DataType]: return PollutionMeasure.get_data_types() def _build_from_entries(self, input_entries: List[PollutionEntry]) -> MeasureCollection: - return PollutionMeasureCollection.build_from_pollution_entries(input_entries, self._provenance) + return PollutionMeasureCollection.build_from_entries(input_entries, self._provenance) diff --git a/pollution_v2/src/validator/Input.py b/pollution_v2/src/validator/Input.py index 6444a6c1..31e3a97b 100644 --- a/pollution_v2/src/validator/Input.py +++ b/pollution_v2/src/validator/Input.py @@ -44,7 +44,8 @@ def get_raw_data(self, raw_data): raw_data[['domain', 'station', 'lane']] = raw_data['station_code'].str.split(':', expand=True) raw_data['direction'] = raw_data['lane'].map({'1': 'NORD', '2': 'NORD', '3': 'SUD', '4': 'SUD', '5': 'NORD', '6': 'SUD'}) raw_data['station'] = raw_data['station'].astype(int) - raw_data['km'] = raw_data['station'].map(self.chilometriche.T.to_dict('list')) + raw_data['km'] = pd.merge(raw_data[['station']].drop_duplicates(), self.chilometriche, + left_on='station', right_on='station_id')['km'] return raw_data def get_stations(self): diff --git a/pollution_v2/src/validator/Station.py b/pollution_v2/src/validator/Station.py index e57e2575..7f45b29e 100644 --- a/pollution_v2/src/validator/Station.py +++ b/pollution_v2/src/validator/Station.py @@ -35,7 +35,7 @@ def getStats(self, history, chilometriche, N): self.lane_selector() history_len = history[history['station'] == self.ID].shape[0] if self.ID not in history['station'].values or history_len < 10: - if self.ID not in chilometriche.keys(): + if self.ID not in chilometriche.index.values: logger.info(f'{self.ID:<4} {self.direction:<4} no history, no information about position --> skip layer 1, 1.1, 2') self.skip_validation = True self.layer1 = None diff --git a/pollution_v2/src/validator/Validator.py b/pollution_v2/src/validator/Validator.py index 417c7d1f..6a879955 100644 --- a/pollution_v2/src/validator/Validator.py +++ b/pollution_v2/src/validator/Validator.py @@ -50,8 +50,8 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa logging.debug(f'...initializing data for day {day}') A22 = Dominio(data) for index, row in data.station_list.iterrows(): - if (data.station_type.loc[row['station']]['station_type'] != 'TVCC' or - data.station_type.loc[row['station']]['station_type'] != 'RADAR'): + station_type = data.station_type[data.station_type['station_id'] == row['station']]['station_type'].item() + if station_type != 'TVCC' or station_type != 'RADAR': # inizializza l'oggetto stazione e aggiungilo all'oggetto dominio s = Station(data.raw_data, data.history, row['station'], row['direction'], data.chilometriche, params.layer1('n')) diff --git a/pollution_v2/src/validator/manager/validation.py b/pollution_v2/src/validator/manager/validation.py index 8784b080..8c0f71e5 100644 --- a/pollution_v2/src/validator/manager/validation.py +++ b/pollution_v2/src/validator/manager/validation.py @@ -5,7 +5,7 @@ from __future__ import absolute_import, annotations import logging -from datetime import datetime +from datetime import datetime, timedelta from typing import List from common.cache.common import TrafficManagerClass @@ -39,8 +39,7 @@ def get_input_connector(self) -> ODHBaseConnector: def _download_history_data(self, from_date: datetime, - to_date: datetime, - traffic_station: TrafficSensorStation + to_date: datetime ) -> HistoryMeasureCollection: """ Download history data measures in the given interval. @@ -52,9 +51,12 @@ def _download_history_data(self, # set time to midnight otherwise you'll miss today's value from_date = DEFAULT_TIMEZONE.localize(datetime.combine(from_date, datetime.min.time())) + + # TODO restore days=4*365 + from_date = from_date - timedelta(days=365) + return HistoryMeasureCollection(measures=self._connector_collector.history.get_measures(from_date=from_date, - to_date=to_date, - station=traffic_station)) + to_date=to_date)) def _download_data_and_compute(self, start_date: datetime, to_date: datetime, traffic_station: TrafficSensorStation) -> List[GenericEntry]: @@ -62,7 +64,9 @@ def _download_data_and_compute(self, start_date: datetime, to_date: datetime, history_data = [] traffic_data = [] try: - history_data = self._download_history_data(start_date, to_date, traffic_station) + # no station as for history every station is needed + history_data = self._download_history_data(start_date, to_date) + # TODO check if station has to be passed or not traffic_data = self._download_traffic_data(start_date, to_date, traffic_station) except Exception as e: logger.exception( @@ -70,9 +74,12 @@ def _download_data_and_compute(self, start_date: datetime, to_date: datetime, f"in the interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", exc_info=e) + all_traffic_stations = self.get_traffic_stations_from_cache() + if history_data and traffic_data: model = ValidationModel() - return model.compute_data(history_data, TrafficMeasureCollection(traffic_data), traffic_station) + return model.compute_data(history_data, TrafficMeasureCollection(traffic_data), + traffic_station, all_traffic_stations) return [] @@ -80,4 +87,4 @@ def _get_data_types(self) -> List[DataType]: return ValidationMeasure.get_data_types() def _build_from_entries(self, input_entries: List[ValidationEntry]) -> MeasureCollection: - return ValidationMeasureCollection.build_from_validation_entries(input_entries, self._provenance) + return ValidationMeasureCollection.build_from_entries(input_entries, self._provenance) diff --git a/pollution_v2/src/validator/model/validation_model.py b/pollution_v2/src/validator/model/validation_model.py index 50a36c74..0e7d9cea 100644 --- a/pollution_v2/src/validator/model/validation_model.py +++ b/pollution_v2/src/validator/model/validation_model.py @@ -27,7 +27,7 @@ class ValidationModel: """ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasureCollection, - station: TrafficSensorStation) -> List[ValidationEntry]: + station: TrafficSensorStation, stations: List[TrafficSensorStation]) -> List[ValidationEntry]: """ Compute the validation given the available traffic measures @@ -59,8 +59,7 @@ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasur traffic_entries = traffic.get_entries() history_entries = history.get_entries() - stations_df = ModelHelper.get_stations_dataframe(traffic.get_stations()) - stations_df_validator = stations_df.copy().set_index("station_id") + stations_df = ModelHelper.get_stations_dataframe(stations) # TODO without hard-coding here, should come out from algorithm period = PERIOD_10MIN @@ -69,10 +68,12 @@ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasur if len(traffic_entries) > 0 and len(history_entries) > 0: for date in run_on_dates: traffic_df = ModelHelper.get_traffic_dataframe_for_validation(traffic_entries, date) - logger.info(f"Starting validation on {len(traffic_df)} traffic records on station [{station.code}]") + logger.info(f"Starting validation on {len(traffic_df)} traffic records on station [{station.code}] " + f"on [{date}]") history_df = ModelHelper.get_history_dataframe(history_entries, date) out_df = validator(date.strftime('%Y-%m-%d'), traffic_df, history_df, - stations_df_validator[['km']], stations_df_validator[['station_type']]) + stations_df[["station_id", "km"]].drop_duplicates(), + stations_df[["station_id", "station_type"]].drop_duplicates()) lst = self._get_entries_from_df(out_df, date.strftime('%Y-%m-%d'), period, traffic.get_stations()) res.extend(lst) else: From c86b2fe11f60c38fc39ae1bd5714424a27d37f62 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Thu, 4 Apr 2024 15:19:07 +0200 Subject: [PATCH 063/154] pollution_v2: traffic with all stations data and historic data for 4 years but only on processing months - issue #24 --- .../src/validator/manager/validation.py | 20 +++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) diff --git a/pollution_v2/src/validator/manager/validation.py b/pollution_v2/src/validator/manager/validation.py index 8c0f71e5..5eb8ab47 100644 --- a/pollution_v2/src/validator/manager/validation.py +++ b/pollution_v2/src/validator/manager/validation.py @@ -52,11 +52,19 @@ def _download_history_data(self, # set time to midnight otherwise you'll miss today's value from_date = DEFAULT_TIMEZONE.localize(datetime.combine(from_date, datetime.min.time())) - # TODO restore days=4*365 - from_date = from_date - timedelta(days=365) + measures = [] + from_date_on_month = from_date.replace(day=1) + to_date_on_month = datetime(to_date.year, to_date.month + 1, 1) + timedelta(days=-1) + if to_date_on_month.tzinfo is None: + to_date_on_month = DEFAULT_TIMEZONE.localize(to_date_on_month) - return HistoryMeasureCollection(measures=self._connector_collector.history.get_measures(from_date=from_date, - to_date=to_date)) + for i in range(0, 4): + from_date_to_use = from_date_on_month.replace(year=from_date_on_month.year-i) + to_date_to_use = min(to_date_on_month.replace(year=to_date_on_month.year-i), to_date) + measures.extend(self._connector_collector.history.get_measures(from_date=from_date_to_use, + to_date=to_date_to_use)) + + return HistoryMeasureCollection(measures=measures) def _download_data_and_compute(self, start_date: datetime, to_date: datetime, traffic_station: TrafficSensorStation) -> List[GenericEntry]: @@ -66,8 +74,8 @@ def _download_data_and_compute(self, start_date: datetime, to_date: datetime, try: # no station as for history every station is needed history_data = self._download_history_data(start_date, to_date) - # TODO check if station has to be passed or not - traffic_data = self._download_traffic_data(start_date, to_date, traffic_station) + # no station as parameter as validation needs data from all stations + traffic_data = self._download_traffic_data(start_date, to_date) except Exception as e: logger.exception( f"Unable to download history and traffic data for station [{traffic_station.code}] " From c9335cbdfe6b6536bdddb43ec644df894806f48f Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 12 Apr 2024 16:01:28 +0200 Subject: [PATCH 064/154] pollution_v2: different batch size for pollution and validation, correct logging configuration - issue #24 --- pollution_v2/README.md | 53 ++++++++++--------- pollution_v2/src/common/data_model/station.py | 2 +- pollution_v2/src/common/logging.py | 2 +- .../src/common/manager/traffic_station.py | 24 ++++++--- pollution_v2/src/common/settings.py | 3 +- .../src/dags/aiaas_pollution_computer.py | 5 +- pollution_v2/src/dags/aiaas_validator.py | 5 +- pollution_v2/src/main_pollution_connector.py | 6 ++- pollution_v2/src/main_validation.py | 7 ++- .../src/tests/test_pollution_computation.py | 26 ++++----- pollution_v2/src/tests/test_validation.py | 26 ++++----- .../src/validator/manager/validation.py | 2 +- .../src/validator/model/validation_model.py | 10 ++-- 13 files changed, 93 insertions(+), 78 deletions(-) diff --git a/pollution_v2/README.md b/pollution_v2/README.md index f7bae230..c9e25c1c 100644 --- a/pollution_v2/README.md +++ b/pollution_v2/README.md @@ -191,32 +191,33 @@ airflow tasks test tutorial_of_mines print_date 2015-06-01 #### List of environmental variables for development -| Name | Required | Description | Default | -|----------------------------------------|----------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------| -| AIRFLOW_HOME | Yes | Airflow home. | - | -| AIRFLOW_VAR_ODH_BASE_READER_URL | Yes | The base url for the ODH requests for reading data. | - | -| AIRFLOW_VAR_ODH_BASE_WRITER_URL | Yes | The base url for the ODH requests for writing data. | - | -| AIRFLOW_VAR_ODH_AUTHENTICATION_URL | Yes | The url for ODH authentication endpoints. | - | -| AIRFLOW_VAR_ODH_USERNAME | Yes | The username for the ODH authentication. | - | -| AIRFLOW_VAR_ODH_PASSWORD | Yes | The password for the ODH authentication. | - | -| AIRFLOW_VAR_ODH_CLIENT_ID | Yes | The client ID for the ODH authentication. | - | -| AIRFLOW_VAR_ODH_CLIENT_SECRET | Yes | The client secret for the ODH authentication. | - | -| AIRFLOW_VAR_ODH_GRANT_TYPE | Yes | The token grant type for the ODH authentication. It is possible to specify more types by separating them using `;`. | "password" | -| AIRFLOW_VAR_ODH_PAGINATION_SIZE | No | The pagination size for the get requests to ODH. Set it to `-1` to disable it. | 200 | -| AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE | No | The maximum size of the batch for each post request to ODH. If not present there is not a maximum batch size and all data will sent in a single call. | - | -| AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE | No | The maximum size (in days) of a batch to compute | 30 | -| AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE | No | The minimum starting date[time] in isoformat (up to one second level of precision, milliseconds for the from date field are not supported in ODH) for downloading data from ODH if no pollution measures are available. | 2018-01-01 | -| COMPUTATION_CHECKPOINT_REDIS_HOST | No | The redis host for the computation checkpoints. Set to enable the computation checkpoints | | -| COMPUTATION_CHECKPOINT_REDIS_PORT | No | The port for the redis server for the computation checkpoints | 6379 | -| COMPUTATION_CHECKPOINT_REDIS_DB | No | The DB number of the checkpoint redis server | 0 | -| DAG_POLLUTION_EXECUTION_CRONTAB | No | The crontab used to schedule pollution computation | 0 0 * * * | -| DAG_VALIDATION_EXECUTION_CRONTAB | No | The crontab used to schedule data validation | 0 0 * * * | -| AIRFLOW__CORE__REMOTE_LOGGING | No | The flag enabling remote logging (install `pip install apache-airflow-providers-amazon` if not present) | | -| AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER | No | The bucket name for remote logging | | -| AIRFLOW__CORE__REMOTE_LOG_CONN_ID | No | The remote logging connection id | | -| AIRFLOW__CORE__ENCRYPT_S3_LOGS | No | The flag for remote logs encryption | | -| AIRFLOW_CONN_MINIO_S3_CONN | No | The MinIO connetion parameters (if expressed as JSON it could be necessary to escape double quotes) | | -| NO_PROXY | Yes (on macOS) | Sets every URL to skip proxy (see [here](https://docs.python.org/3/library/urllib.request.html)) | - | | +| Name | Required | Description | Default | +|---------------------------------------------------------|----------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------| +| AIRFLOW_HOME | Yes | Airflow home. | - | +| AIRFLOW_VAR_ODH_BASE_READER_URL | Yes | The base url for the ODH requests for reading data. | - | +| AIRFLOW_VAR_ODH_BASE_WRITER_URL | Yes | The base url for the ODH requests for writing data. | - | +| AIRFLOW_VAR_ODH_AUTHENTICATION_URL | Yes | The url for ODH authentication endpoints. | - | +| AIRFLOW_VAR_ODH_USERNAME | Yes | The username for the ODH authentication. | - | +| AIRFLOW_VAR_ODH_PASSWORD | Yes | The password for the ODH authentication. | - | +| AIRFLOW_VAR_ODH_CLIENT_ID | Yes | The client ID for the ODH authentication. | - | +| AIRFLOW_VAR_ODH_CLIENT_SECRET | Yes | The client secret for the ODH authentication. | - | +| AIRFLOW_VAR_ODH_GRANT_TYPE | Yes | The token grant type for the ODH authentication. It is possible to specify more types by separating them using `;`. | "password" | +| AIRFLOW_VAR_ODH_PAGINATION_SIZE | No | The pagination size for the get requests to ODH. Set it to `-1` to disable it. | 200 | +| AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE | No | The maximum size of the batch for each post request to ODH. If not present there is not a maximum batch size and all data will sent in a single call. | - | +| AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION | No | The maximum size (in days) of a batch to compute pollution | 30 | +| AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_VALIDATION | No | The maximum size (in days) of a batch to compute validation | 1 | +| AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE | No | The minimum starting date[time] in isoformat (up to one second level of precision, milliseconds for the from date field are not supported in ODH) for downloading data from ODH if no pollution measures are available. | 2018-01-01 | +| COMPUTATION_CHECKPOINT_REDIS_HOST | No | The redis host for the computation checkpoints. Set to enable the computation checkpoints | | +| COMPUTATION_CHECKPOINT_REDIS_PORT | No | The port for the redis server for the computation checkpoints | 6379 | +| COMPUTATION_CHECKPOINT_REDIS_DB | No | The DB number of the checkpoint redis server | 0 | +| DAG_POLLUTION_EXECUTION_CRONTAB | No | The crontab used to schedule pollution computation | 0 0 * * * | +| DAG_VALIDATION_EXECUTION_CRONTAB | No | The crontab used to schedule data validation | 0 0 * * * | +| AIRFLOW__CORE__REMOTE_LOGGING | No | The flag enabling remote logging (install `pip install apache-airflow-providers-amazon` if not present) | | +| AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER | No | The bucket name for remote logging | | +| AIRFLOW__CORE__REMOTE_LOG_CONN_ID | No | The remote logging connection id | | +| AIRFLOW__CORE__ENCRYPT_S3_LOGS | No | The flag for remote logs encryption | | +| AIRFLOW_CONN_MINIO_S3_CONN | No | The MinIO connetion parameters (if expressed as JSON it could be necessary to escape double quotes) | | +| NO_PROXY | Yes (on macOS) | Sets every URL to skip proxy (see [here](https://docs.python.org/3/library/urllib.request.html)) | - | | ### Notes on Docker deployment diff --git a/pollution_v2/src/common/data_model/station.py b/pollution_v2/src/common/data_model/station.py index e788b576..02e0ae8f 100644 --- a/pollution_v2/src/common/data_model/station.py +++ b/pollution_v2/src/common/data_model/station.py @@ -34,7 +34,7 @@ def km(self) -> float: metadata = ast.literal_eval(self.metadata["a22_metadata"]) if metadata.get("metro"): return (int(metadata["metro"])) / 1000 - logger.warning(f"Mileage not defined for station [{self.code}]") + logger.debug(f"Mileage not defined for station [{self.code}]") return -1000 __version__: ClassVar[int] = 1 diff --git a/pollution_v2/src/common/logging.py b/pollution_v2/src/common/logging.py index 02257922..f7b06db1 100644 --- a/pollution_v2/src/common/logging.py +++ b/pollution_v2/src/common/logging.py @@ -61,7 +61,7 @@ def get_logging_configuration(service_name: str): "handlers": log_handlers, "propagate": 0 }, - "pollution_connector": { + "pollution_v2": { "level": log_level, "handlers": log_handlers, "propagate": 0 diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index d29f692e..a0c3f159 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -15,7 +15,7 @@ from common.data_model import TrafficSensorStation from common.data_model.common import MeasureType, Provenance, DataType, MeasureCollection, Measure from common.data_model.entry import GenericEntry -from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE, ODH_COMPUTATION_BATCH_SIZE, PERIOD_1DAY +from common.settings import ODH_MINIMUM_STARTING_DATE, DEFAULT_TIMEZONE logger = logging.getLogger("pollution_v2.common.manager.traffic_station") @@ -211,7 +211,8 @@ def _upload_data(self, input_entries: List[GenericEntry]) -> None: def run_computation_for_station(self, traffic_station: TrafficSensorStation, min_from_date: datetime, - max_to_date: datetime) -> None: + max_to_date: datetime, + batch_size: int) -> None: """ Start the computation of a batch of data measures on a specific station. As starting date for the batch is used the latest measure available on the ODH, @@ -220,6 +221,7 @@ def run_computation_for_station(self, :param traffic_station: Station to process. :param min_from_date: Traffic measures before this date are discarded if no measures are available. :param max_to_date: Ending date for interval; measures after this date are discarded. + :param batch_size: Number of days to be processed as maximum span. """ logger.info(f"Determining computation interval for [{traffic_station.code}] " @@ -229,7 +231,7 @@ def run_computation_for_station(self, # Detect inactive stations: # If we're about to request more than one window of measurements, do a check first if there even is any new data - if (max_to_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: + if (max_to_date - start_date).days > batch_size: latest_measurement_date = self._get_latest_date(self.get_input_connector(), traffic_station) # traffic data request range end is the latest measurement # For inactive stations, this latest measurement date will be < start_date, @@ -245,7 +247,7 @@ def run_computation_for_station(self, logger.info(f"Not computing data for station [{traffic_station.code}] in interval " f"[{start_date.isoformat()} - {to_date.isoformat()}] (no timespan)") elif start_date < max_to_date: - to_date = to_date + timedelta(days=ODH_COMPUTATION_BATCH_SIZE) + to_date = to_date + timedelta(days=batch_size) if to_date > max_to_date: to_date = max_to_date @@ -273,8 +275,8 @@ def run_computation_for_station(self, def run_computation_and_upload_results(self, min_from_date: datetime, - max_to_date: datetime - ) -> None: + max_to_date: datetime, + batch_size: int) -> None: """ Watch-out! Used only from main_*! @@ -283,6 +285,7 @@ def run_computation_and_upload_results(self, :param min_from_date: Traffic measures before this date are discarded if no measures are available. :param max_to_date: Traffic measure after this date are discarded. + :param batch_size: Number of days to be processed as maximum span. """ if min_from_date.tzinfo is None: @@ -293,8 +296,13 @@ def run_computation_and_upload_results(self, computation_start_dt = datetime.now() - for traffic_station in self.get_traffic_stations_from_cache(): - self.run_computation_for_station(traffic_station, min_from_date, max_to_date) + stations = self.get_traffic_stations_from_cache() + stations_with_km = [station for station in stations if station.km > 0] + logger.info(f"Stations filtered on having km defined, resulting {len(stations_with_km)} " + f"elements (starting from {len(stations)})") + + for traffic_station in stations_with_km: + self.run_computation_for_station(traffic_station, min_from_date, max_to_date, batch_size) computation_end_dt = datetime.now() logger.info(f"Completed computation in [{(computation_end_dt - computation_start_dt).seconds}]") diff --git a/pollution_v2/src/common/settings.py b/pollution_v2/src/common/settings.py index 0da48439..491f887b 100644 --- a/pollution_v2/src/common/settings.py +++ b/pollution_v2/src/common/settings.py @@ -35,7 +35,8 @@ ODH_PAGINATION_SIZE = int(Variable.get("ODH_PAGINATION_SIZE", 200)) ODH_MAX_POST_BATCH_SIZE = int(Variable.get("ODH_MAX_POST_BATCH_SIZE")) if Variable.get("ODH_MAX_POST_BATCH_SIZE") else None ODH_MINIMUM_STARTING_DATE = dateutil.parser.parse(Variable.get("ODH_MINIMUM_STARTING_DATE", "2018-01-01")) -ODH_COMPUTATION_BATCH_SIZE = int(Variable.get("ODH_COMPUTATION_BATCH_SIZE", 30)) +ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION = int(Variable.get("ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION", 30)) +ODH_COMPUTATION_BATCH_SIZE_VALIDATION = int(Variable.get("ODH_COMPUTATION_BATCH_SIZE_VALIDATION", 1)) DAG_POLLUTION_EXECUTION_CRONTAB = Variable.get("DAG_POLLUTION_EXECUTION_CRONTAB", "0 0 * * *") DAG_VALIDATION_EXECUTION_CRONTAB = Variable.get("DAG_VALIDATION_EXECUTION_CRONTAB", "0 0 * * *") DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN = int(Variable.get("DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN", 24)) diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index f6d9741c..a8e6f521 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -18,7 +18,7 @@ COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_HOST, PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME_POLL_ELABORATION, PROVENANCE_VERSION, DAG_POLLUTION_EXECUTION_CRONTAB, DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN, - DEFAULT_TIMEZONE) + DEFAULT_TIMEZONE, ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION) from pollution_connector.manager.pollution_computation import PollutionComputationManager # see https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dynamic-task-mapping.html @@ -120,7 +120,8 @@ def process_station(station_dict: dict, **kwargs): computation_start_dt = datetime.now() logger.info(f"Running computation from [{min_from_date}] to [{max_to_date}]") - manager.run_computation_for_station(station, min_from_date, max_to_date) + manager.run_computation_for_station(station, min_from_date, max_to_date, + ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION) computation_end_dt = datetime.now() logger.info(f"Completed computation in [{(computation_end_dt - computation_start_dt).seconds}]") diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py index 43223f84..f87680b1 100644 --- a/pollution_v2/src/dags/aiaas_validator.py +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -16,7 +16,8 @@ from common.settings import (ODH_MINIMUM_STARTING_DATE, DAG_VALIDATION_EXECUTION_CRONTAB, PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME_VALIDATION, PROVENANCE_VERSION, COMPUTATION_CHECKPOINT_REDIS_HOST, COMPUTATION_CHECKPOINT_REDIS_PORT, - COMPUTATION_CHECKPOINT_REDIS_DB, DEFAULT_TIMEZONE, DAG_VALIDATION_TRIGGER_DAG_HOURS_SPAN) + COMPUTATION_CHECKPOINT_REDIS_DB, DEFAULT_TIMEZONE, DAG_VALIDATION_TRIGGER_DAG_HOURS_SPAN, + ODH_COMPUTATION_BATCH_SIZE_VALIDATION) from validator.manager.validation import ValidationManager # see https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dynamic-task-mapping.html @@ -118,7 +119,7 @@ def process_station(station_dict: dict, **kwargs): computation_start_dt = datetime.now() logger.info(f"Running validation from [{min_from_date}] to [{max_to_date}]") - manager.run_computation_for_station(station, min_from_date, max_to_date) + manager.run_computation_for_station(station, min_from_date, max_to_date, ODH_COMPUTATION_BATCH_SIZE_VALIDATION) computation_end_dt = datetime.now() logger.info(f"Completed validation in [{(computation_end_dt - computation_start_dt).seconds}]") diff --git a/pollution_v2/src/main_pollution_connector.py b/pollution_v2/src/main_pollution_connector.py index 448fa859..d6610e8a 100644 --- a/pollution_v2/src/main_pollution_connector.py +++ b/pollution_v2/src/main_pollution_connector.py @@ -20,9 +20,11 @@ from common.settings import (DEFAULT_TIMEZONE, SENTRY_SAMPLE_RATE, ODH_MINIMUM_STARTING_DATE, COMPUTATION_CHECKPOINT_REDIS_HOST, COMPUTATION_CHECKPOINT_REDIS_PORT, PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME_POLL_ELABORATION, PROVENANCE_VERSION, - COMPUTATION_CHECKPOINT_REDIS_DB) + COMPUTATION_CHECKPOINT_REDIS_DB, ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION) from pollution_connector.manager.pollution_computation import PollutionComputationManager +logging.config.dictConfig(get_logging_configuration("pollution_v2")) + logger = logging.getLogger("pollution_v2.main_pollution_connector") sentry_sdk.init( @@ -62,7 +64,7 @@ def compute_data(min_from_date: Optional[datetime] = None, collector_connector = ConnectorCollector.build_from_env() provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME_POLL_ELABORATION, PROVENANCE_VERSION) manager = PollutionComputationManager(collector_connector, provenance, checkpoint_cache) - manager.run_computation_and_upload_results(min_from_date, max_to_date) + manager.run_computation_and_upload_results(min_from_date, max_to_date, ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION) if __name__ == "__main__": diff --git a/pollution_v2/src/main_validation.py b/pollution_v2/src/main_validation.py index bde703aa..70b1ca64 100644 --- a/pollution_v2/src/main_validation.py +++ b/pollution_v2/src/main_validation.py @@ -16,12 +16,15 @@ from common.cache.computation_checkpoint import ComputationCheckpointCache from common.connector.collector import ConnectorCollector from common.data_model.common import Provenance +from common.logging import get_logging_configuration from common.settings import (DEFAULT_TIMEZONE, SENTRY_SAMPLE_RATE, ODH_MINIMUM_STARTING_DATE, COMPUTATION_CHECKPOINT_REDIS_HOST, COMPUTATION_CHECKPOINT_REDIS_PORT, PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME_VALIDATION, PROVENANCE_VERSION, - COMPUTATION_CHECKPOINT_REDIS_DB) + COMPUTATION_CHECKPOINT_REDIS_DB, ODH_COMPUTATION_BATCH_SIZE_VALIDATION) from validator.manager.validation import ValidationManager +logging.config.dictConfig(get_logging_configuration("pollution_v2")) + logger = logging.getLogger("pollution_v2.main_validation") sentry_sdk.init( @@ -61,7 +64,7 @@ def compute_data(min_from_date: Optional[datetime] = None, collector_connector = ConnectorCollector.build_from_env() provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME_VALIDATION, PROVENANCE_VERSION) manager = ValidationManager(collector_connector, provenance, checkpoint_cache) - manager.run_computation_and_upload_results(min_from_date, max_to_date) + manager.run_computation_and_upload_results(min_from_date, max_to_date, ODH_COMPUTATION_BATCH_SIZE_VALIDATION) if __name__ == "__main__": diff --git a/pollution_v2/src/tests/test_pollution_computation.py b/pollution_v2/src/tests/test_pollution_computation.py index 9aa62330..f54b9e7e 100644 --- a/pollution_v2/src/tests/test_pollution_computation.py +++ b/pollution_v2/src/tests/test_pollution_computation.py @@ -10,7 +10,7 @@ from airflow.models import Variable from common.data_model import TrafficSensorStation -from common.settings import ODH_COMPUTATION_BATCH_SIZE, DEFAULT_TIMEZONE +from common.settings import ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION, DEFAULT_TIMEZONE from tests.test_common import TestDAGCommon @@ -36,11 +36,11 @@ def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, Test that the run_computation_for_station method is called with the correct date range. """ batch_size = "30" - with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE=batch_size))): - # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE variable + with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION=batch_size))): + # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION variable from common import settings importlib.reload(settings) - assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE") + assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION") # Get the process_station task dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) @@ -77,11 +77,11 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d Test that the run_computation_for_station method is called with the correct date range. """ batch_size = "30" - with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE=batch_size))): - # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE variable + with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION=batch_size))): + # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION variable from common import settings importlib.reload(settings) - assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE") + assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION") # Get the process_station task dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) @@ -96,7 +96,7 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d get_start_date_mock.return_value = start_date # The correct end date is the start date plus the batch size - correct_end_date = start_date + timedelta(days=ODH_COMPUTATION_BATCH_SIZE) + correct_end_date = start_date + timedelta(days=ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION) # Start task to run computation task_function(self.station_dict) @@ -104,7 +104,7 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d station = TrafficSensorStation.from_json(self.station_dict) get_start_date_mock.assert_called_once_with(ANY, station, self.min_date) - if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: + if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION: latest_date_mock.assert_called_once_with(ANY, station) else: latest_date_mock.assert_not_called() @@ -127,11 +127,11 @@ def test_run_computation_date_range_when_few_data(self, download_mock, latest_da Test that the run_computation_for_station method is called with the correct date range. """ batch_size = "30" - with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE=batch_size))): - # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE variable + with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION=batch_size))): + # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION variable from common import settings importlib.reload(settings) - assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE") + assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION") # Get the process_station task dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) @@ -150,7 +150,7 @@ def test_run_computation_date_range_when_few_data(self, download_mock, latest_da station = TrafficSensorStation.from_json(self.station_dict) get_start_date_mock.assert_called_once_with(ANY, station, self.min_date) - if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: + if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION: latest_date_mock.assert_called_once_with(ANY, station) else: latest_date_mock.assert_not_called() diff --git a/pollution_v2/src/tests/test_validation.py b/pollution_v2/src/tests/test_validation.py index b272ffd0..a1c8dd0a 100644 --- a/pollution_v2/src/tests/test_validation.py +++ b/pollution_v2/src/tests/test_validation.py @@ -10,7 +10,7 @@ from airflow.models import Variable from common.data_model import TrafficSensorStation -from common.settings import ODH_COMPUTATION_BATCH_SIZE, DEFAULT_TIMEZONE +from common.settings import ODH_COMPUTATION_BATCH_SIZE_VALIDATION, DEFAULT_TIMEZONE from tests.test_common import TestDAGCommon @@ -36,11 +36,11 @@ def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, Test that the run_computation_for_station method is called with the correct date range. """ batch_size = "30" - with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE=batch_size))): - # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE variable + with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_VALIDATION=batch_size))): + # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_VALIDATION variable from common import settings importlib.reload(settings) - assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE") + assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE_VALIDATION") # Get the process_station task dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) @@ -77,11 +77,11 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d Test that the run_computation_for_station method is called with the correct date range. """ batch_size = "30" - with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE=batch_size))): - # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE variable + with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_VALIDATION=batch_size))): + # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_VALIDATION variable from common import settings importlib.reload(settings) - assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE") + assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE_VALIDATION") # Get the process_station task dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) @@ -96,7 +96,7 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d get_start_date_mock.return_value = start_date # The correct end date is the start date plus the batch size - correct_end_date = start_date + timedelta(days=ODH_COMPUTATION_BATCH_SIZE) + correct_end_date = start_date + timedelta(days=ODH_COMPUTATION_BATCH_SIZE_VALIDATION) # Start task to run computation task_function(self.station_dict) @@ -104,7 +104,7 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d station = TrafficSensorStation.from_json(self.station_dict) get_start_date_mock.assert_called_once_with(ANY, station, self.min_date) - if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: + if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE_VALIDATION: latest_date_mock.assert_called_once_with(ANY, station) else: latest_date_mock.assert_not_called() @@ -127,11 +127,11 @@ def test_run_computation_date_range_when_few_data(self, download_mock, latest_da Test that the run_computation_for_station method is called with the correct date range. """ batch_size = "30" - with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE=batch_size))): - # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE variable + with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_VALIDATION=batch_size))): + # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_VALIDATION variable from common import settings importlib.reload(settings) - assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE") + assert batch_size == Variable.get("ODH_COMPUTATION_BATCH_SIZE_VALIDATION") # Get the process_station task dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) @@ -150,7 +150,7 @@ def test_run_computation_date_range_when_few_data(self, download_mock, latest_da station = TrafficSensorStation.from_json(self.station_dict) get_start_date_mock.assert_called_once_with(ANY, station, self.min_date) - if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: + if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE_VALIDATION: latest_date_mock.assert_called_once_with(ANY, station) else: latest_date_mock.assert_not_called() diff --git a/pollution_v2/src/validator/manager/validation.py b/pollution_v2/src/validator/manager/validation.py index 5eb8ab47..902af6ec 100644 --- a/pollution_v2/src/validator/manager/validation.py +++ b/pollution_v2/src/validator/manager/validation.py @@ -78,7 +78,7 @@ def _download_data_and_compute(self, start_date: datetime, to_date: datetime, traffic_data = self._download_traffic_data(start_date, to_date) except Exception as e: logger.exception( - f"Unable to download history and traffic data for station [{traffic_station.code}] " + f"Unable to download history and traffic data " f"in the interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", exc_info=e) diff --git a/pollution_v2/src/validator/model/validation_model.py b/pollution_v2/src/validator/model/validation_model.py index 0e7d9cea..406f098a 100644 --- a/pollution_v2/src/validator/model/validation_model.py +++ b/pollution_v2/src/validator/model/validation_model.py @@ -34,6 +34,7 @@ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasur :param history: A collection which contain measures history :param traffic: A collection which contain all the available traffic measures :param station: A station to be processed + :param stations: List of all stations :return: A list of the new computed validation measures """ @@ -44,13 +45,13 @@ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasur if measure.valid_time.date() in history_dates.difference(traffic_dates)} if len(diff) > 0: logger.warning(f"Missing traffic data for the following dates [{sorted(diff)}] " - f"on station [{station.code}]: {len(diff)} " + f"while processing [{station.code}]: {len(diff)} " f"records will not be processed") diff = {measure.valid_time.date() for measure in traffic.measures if measure.valid_time.date() in traffic_dates.difference(history_dates)} if len(diff) > 0: logger.warning(f"Missing history data for the following dates [{sorted(diff)}] " - f"on station [{station.code}]: {len(diff)} " + f"while processing [{station.code}]: {len(diff)} " f"records will not be processed") run_on_dates = history_dates.intersection(traffic_dates) @@ -61,9 +62,6 @@ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasur stations_df = ModelHelper.get_stations_dataframe(stations) - # TODO without hard-coding here, should come out from algorithm - period = PERIOD_10MIN - res = [] if len(traffic_entries) > 0 and len(history_entries) > 0: for date in run_on_dates: @@ -74,7 +72,7 @@ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasur out_df = validator(date.strftime('%Y-%m-%d'), traffic_df, history_df, stations_df[["station_id", "km"]].drop_duplicates(), stations_df[["station_id", "station_type"]].drop_duplicates()) - lst = self._get_entries_from_df(out_df, date.strftime('%Y-%m-%d'), period, traffic.get_stations()) + lst = self._get_entries_from_df(out_df, date.strftime('%Y-%m-%d'), PERIOD_10MIN, traffic.get_stations()) res.extend(lst) else: logger.info("0 validated entries found skipping pollution computation") From 57988da80295b8710cb4c6f35c7e349f040c3b14 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Wed, 17 Apr 2024 12:28:09 +0200 Subject: [PATCH 065/154] pollution_v2: first draft of computation running on list of stations in order to fulfil validation input needed - issue #24 --- .../src/common/manager/traffic_station.py | 171 ++++++++++-------- .../src/dags/aiaas_pollution_computer.py | 4 +- pollution_v2/src/dags/aiaas_validator.py | 2 +- pollution_v2/src/validator/Station.py | 4 + .../src/validator/manager/validation.py | 8 +- .../src/validator/model/validation_model.py | 14 +- 6 files changed, 114 insertions(+), 89 deletions(-) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index a0c3f159..5c73222b 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -20,6 +20,11 @@ logger = logging.getLogger("pollution_v2.common.manager.traffic_station") +def _get_station_on_logs(stations: List[TrafficSensorStation]): + return (f"[{', '.join([station.code for station in (stations[:5] if len(stations) > 5 else stations)])}" + f"{' and more' if len(stations) > 5 else ''}]") + + class TrafficStationManager(ABC): """ Abstract class generalising traffic managers, in charge of computing the data given the traffic data. @@ -70,83 +75,94 @@ def _build_from_entries(self, input_entries: List[GenericEntry]) -> MeasureColle @abstractmethod def _download_data_and_compute(self, start_date: datetime, to_date: datetime, - traffic_station: TrafficSensorStation) -> List[GenericEntry]: + stations: List[TrafficSensorStation]) -> List[GenericEntry]: pass - def _get_latest_date(self, connector: ODHBaseConnector, traffic_station: TrafficSensorStation) -> datetime: - measures = connector.get_latest_measures(station=traffic_station) - return max(list(map(lambda m: m.valid_time, measures)), - default=DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE)) - - def get_starting_date(self, connector: ODHBaseConnector, traffic_station: TrafficSensorStation, + def _get_latest_date(self, connector: ODHBaseConnector, stations: List[TrafficSensorStation]) -> datetime: + latest_date_across_stations = None + for station in stations: + measures = connector.get_latest_measures(station=station) + latest_date = max(list(map(lambda m: m.valid_time, measures)), + default=DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE)) + if latest_date_across_stations is None or latest_date > latest_date_across_stations: + latest_date_across_stations = latest_date + return latest_date_across_stations + + def get_starting_date(self, connector: ODHBaseConnector, stations: List[TrafficSensorStation], min_from_date: datetime) -> datetime: """ Returns the starting date for further processing, even managing some fallback values if necessary. :param connector: The connector used to retrieve data. - :param traffic_station: The traffic station to query. + :param stations: The list of traffic stations to query. :param min_from_date: The minimum date to start from. :return: Computation starting date. """ + logger.info(f"Looking for latest measures available on [{type(connector).__name__}] " - f"for station [{traffic_station.code}] ") - latest_measure = self.__get_latest_measure(connector, traffic_station) - if latest_measure is None: - logger.info(f"No measures available on [{type(connector).__name__}] for station [{traffic_station.code}]") - if self._checkpoint_cache is not None: - logger.info( - f"Looking on checkpoints on [{type(connector).__name__}] for station [{traffic_station.code}]") - checkpoint = self._checkpoint_cache.get(ComputationCheckpoint.get_id_for_station(traffic_station, - self._get_manager_code())) - if checkpoint is not None: - logger.info(f"Using checkpoint date [{checkpoint.checkpoint_dt}] as starting date " - f"for station [{traffic_station.code}]") - from_date = checkpoint.checkpoint_dt + f"for {_get_station_on_logs(stations)} ") + from_date_across_stations = None + for station in stations: + latest_measure = self.__get_latest_measure(connector, station) + if latest_measure is None: + logger.info(f"No measures available on [{type(connector).__name__}] for {_get_station_on_logs(stations)}") + if self._checkpoint_cache is not None: + logger.info( + f"Looking on checkpoints on [{type(connector).__name__}] for {_get_station_on_logs(stations)}") + checkpoint = self._checkpoint_cache.get( + ComputationCheckpoint.get_id_for_station(station, self._get_manager_code())) + if checkpoint is not None: + logger.info(f"Using checkpoint date [{checkpoint.checkpoint_dt}] as starting date " + f"for {_get_station_on_logs(stations)}") + from_date = checkpoint.checkpoint_dt + else: + # If there isn't any latest measure available, + # the min_from_date is used as starting date for the batch + logger.info(f"No checkpoint, using min date [{min_from_date}] " + f"as starting date for {_get_station_on_logs(stations)}") + from_date = min_from_date else: # If there isn't any latest measure available, # the min_from_date is used as starting date for the batch - logger.info(f"No checkpoint, using min date [{min_from_date}] " - f"as starting date for station [{traffic_station.code}]") + logger.info(f"No measures, using min date [{min_from_date}] " + f"as starting date for {_get_station_on_logs(stations)}") from_date = min_from_date else: - # If there isn't any latest measure available, - # the min_from_date is used as starting date for the batch - logger.info(f"No measures, using min date [{min_from_date}] " - f"as starting date for station [{traffic_station.code}]") - from_date = min_from_date - else: - logger.info(f"Measures found, using min date [{latest_measure.valid_time}] " - f"as starting date for station [{traffic_station.code}]") - from_date = latest_measure.valid_time + logger.info(f"Measures found, using min date [{latest_measure.valid_time}] " + f"as starting date for {_get_station_on_logs(stations)}") + from_date = latest_measure.valid_time - if from_date.tzinfo is None: - from_date = DEFAULT_TIMEZONE.localize(from_date) + if from_date.tzinfo is None: + from_date = DEFAULT_TIMEZONE.localize(from_date) - if min_from_date.tzinfo is None: - min_from_date = DEFAULT_TIMEZONE.localize(min_from_date) + if min_from_date.tzinfo is None: + min_from_date = DEFAULT_TIMEZONE.localize(min_from_date) - if from_date.microsecond: - from_date = from_date.replace(microsecond=0) + if from_date.microsecond: + from_date = from_date.replace(microsecond=0) - if from_date < min_from_date: - logger.warning(f"Using latest measure date [{from_date.isoformat()}] as starting date, " - f"but it's before the minimum starting date [{min_from_date.isoformat()}]") - elif from_date > min_from_date: - logger.info(f"Using latest measure date [{from_date.isoformat()}] as starting date, " - f"which is after the minimum starting date [{min_from_date.isoformat()}]") + if from_date < min_from_date: + logger.warning(f"Using latest measure date [{from_date.isoformat()}] as starting date, " + f"but it's before the minimum starting date [{min_from_date.isoformat()}]") + elif from_date > min_from_date: + logger.info(f"Using latest measure date [{from_date.isoformat()}] as starting date, " + f"which is after the minimum starting date [{min_from_date.isoformat()}]") - return from_date + if from_date_across_stations is None or from_date < from_date_across_stations: + from_date_across_stations = from_date + + return from_date_across_stations def __get_latest_measure(self, connector: ODHBaseConnector, - traffic_station: TrafficSensorStation) -> Optional[Measure]: + station: Optional[TrafficSensorStation]) -> Optional[Measure]: """ Retrieve the latest measure for a given station. It will be the oldest one among all the measure types (for pollution, CO-emissions, CO2-emissions, ...) even though should be the same for all the types. - :param traffic_station: The station for which retrieve the latest measure. + :param station: The station for which retrieve the latest measure. :return: The latest measure for a given station. """ - latest_measures = connector.get_latest_measures(traffic_station) + latest_measures = connector.get_latest_measures(station) if latest_measures: self._create_data_types = False latest_measures.sort(key=lambda x: x.valid_time) @@ -162,8 +178,7 @@ def get_traffic_stations_from_cache(self) -> List[TrafficSensorStation]: logger.info("Retrieving station list from ODH") self._traffic_stations = self.__get_station_list() - # TODO check filter if to be kept - return [station for station in self._traffic_stations if station.code.startswith("A22:")] + return self._traffic_stations def __get_station_list(self) -> List[TrafficSensorStation]: """ @@ -174,7 +189,7 @@ def __get_station_list(self) -> List[TrafficSensorStation]: def _download_traffic_data(self, from_date: datetime, to_date: datetime, - traffic_station: TrafficSensorStation = None + stations: List[TrafficSensorStation] ) -> List[MeasureType]: """ Download traffic data measures in the given interval. @@ -184,8 +199,12 @@ def _download_traffic_data(self, :return: The resulting TrafficMeasureCollection containing the traffic data. """ - return self._connector_collector.traffic.get_measures(from_date=from_date, to_date=to_date, - station=traffic_station) + res = [] + for station in stations: + res.extend(self._connector_collector.traffic.get_measures(from_date=from_date, to_date=to_date, + station=station)) + + return res def _upload_data(self, input_entries: List[GenericEntry]) -> None: """ @@ -208,69 +227,70 @@ def _upload_data(self, input_entries: List[GenericEntry]) -> None: logger.info(f"Posting measures {len(data.measures)}") self.get_output_connector().post_measures(data.measures) - def run_computation_for_station(self, - traffic_station: TrafficSensorStation, - min_from_date: datetime, - max_to_date: datetime, - batch_size: int) -> None: + def run_computation(self, + stations: List[TrafficSensorStation], + min_from_date: datetime, + max_to_date: datetime, + batch_size: int) -> None: """ Start the computation of a batch of data measures on a specific station. As starting date for the batch is used the latest measure available on the ODH, if no measures are available min_from_date is used. - :param traffic_station: Station to process. + :param stations: List of stations to process. :param min_from_date: Traffic measures before this date are discarded if no measures are available. :param max_to_date: Ending date for interval; measures after this date are discarded. :param batch_size: Number of days to be processed as maximum span. """ - logger.info(f"Determining computation interval for [{traffic_station.code}] " + logger.info(f"Determining computation interval for {_get_station_on_logs(stations)} " f"between [{min_from_date}] and [{max_to_date}]") - start_date = self.get_starting_date(self.get_output_connector(), traffic_station, min_from_date) + start_date = self.get_starting_date(self.get_output_connector(), stations, min_from_date) # Detect inactive stations: # If we're about to request more than one window of measurements, do a check first if there even is any new data if (max_to_date - start_date).days > batch_size: - latest_measurement_date = self._get_latest_date(self.get_input_connector(), traffic_station) + latest_measurement_date = self._get_latest_date(self.get_input_connector(), stations) # traffic data request range end is the latest measurement # For inactive stations, this latest measurement date will be < start_date, # thus no further requests will be made. In general, it makes no sense to ask for data # beyond the latest measurement, if we already know which date that is. - logger.info(f"Station [{traffic_station.code}] has a large elaboration range " + logger.info(f"Stations {_get_station_on_logs(stations)} has a large elaboration range " f"as latest measurement date is {latest_measurement_date}") max_to_date = min(max_to_date, latest_measurement_date) to_date = start_date if start_date == max_to_date: - logger.info(f"Not computing data for station [{traffic_station.code}] in interval " + logger.info(f"Not computing data for stations {_get_station_on_logs(stations)} in interval " f"[{start_date.isoformat()} - {to_date.isoformat()}] (no timespan)") elif start_date < max_to_date: to_date = to_date + timedelta(days=batch_size) if to_date > max_to_date: to_date = max_to_date - logger.info(f"Computing data for station [{traffic_station.code}] in interval " + logger.info(f"Computing data for stations {_get_station_on_logs(stations)} in interval " f"[{start_date.isoformat()} - {to_date.isoformat()}]") try: - entries = self._download_data_and_compute(start_date, to_date, traffic_station) + entries = self._download_data_and_compute(start_date, to_date, stations) self._upload_data(entries) except Exception as e: - logger.exception(f"Unable to compute data from station [{traffic_station.code}] in the " + logger.exception(f"Unable to compute data from stations {_get_station_on_logs(stations)} in the " f"interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", exc_info=e) if self._checkpoint_cache is not None: - self._checkpoint_cache.set( - ComputationCheckpoint( - station_code=traffic_station.code, - checkpoint_dt=to_date, - manager_code=self._get_manager_code() + for station in stations: + self._checkpoint_cache.set( + ComputationCheckpoint( + station_code=station.code, + checkpoint_dt=to_date, + manager_code=self._get_manager_code() + ) ) - ) else: - logger.info(f"Nothing to process for station [{traffic_station.code}] in interval " + logger.info(f"Nothing to process for stations {_get_station_on_logs(stations)} in interval " f"[{start_date} - {to_date}]") def run_computation_and_upload_results(self, @@ -301,8 +321,7 @@ def run_computation_and_upload_results(self, logger.info(f"Stations filtered on having km defined, resulting {len(stations_with_km)} " f"elements (starting from {len(stations)})") - for traffic_station in stations_with_km: - self.run_computation_for_station(traffic_station, min_from_date, max_to_date, batch_size) + self.run_computation(stations_with_km, min_from_date, max_to_date, batch_size) computation_end_dt = datetime.now() logger.info(f"Completed computation in [{(computation_end_dt - computation_start_dt).seconds}]") diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index a8e6f521..dcb572d3 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -120,8 +120,8 @@ def process_station(station_dict: dict, **kwargs): computation_start_dt = datetime.now() logger.info(f"Running computation from [{min_from_date}] to [{max_to_date}]") - manager.run_computation_for_station(station, min_from_date, max_to_date, - ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION) + manager.run_computation(station, min_from_date, max_to_date, + ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION) computation_end_dt = datetime.now() logger.info(f"Completed computation in [{(computation_end_dt - computation_start_dt).seconds}]") diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py index f87680b1..54ddd66a 100644 --- a/pollution_v2/src/dags/aiaas_validator.py +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -119,7 +119,7 @@ def process_station(station_dict: dict, **kwargs): computation_start_dt = datetime.now() logger.info(f"Running validation from [{min_from_date}] to [{max_to_date}]") - manager.run_computation_for_station(station, min_from_date, max_to_date, ODH_COMPUTATION_BATCH_SIZE_VALIDATION) + manager.run_computation([], min_from_date, max_to_date, ODH_COMPUTATION_BATCH_SIZE_VALIDATION) computation_end_dt = datetime.now() logger.info(f"Completed validation in [{(computation_end_dt - computation_start_dt).seconds}]") diff --git a/pollution_v2/src/validator/Station.py b/pollution_v2/src/validator/Station.py index 7f45b29e..55db6dde 100644 --- a/pollution_v2/src/validator/Station.py +++ b/pollution_v2/src/validator/Station.py @@ -121,6 +121,10 @@ def zScore_2(self): except KeyError as e: logger.warning(f'error computing zscore layer 2 for {self.ID} {self.direction}: {e}') self.zscore2 = None + except Exception as e: + # TODO is there a way to manage better this case? + logger.warning(f'Exception computing zscore layer 2 for {self.ID} {self.direction}: {e}') + self.zscore2 = None else: self.zscore2 = None else: diff --git a/pollution_v2/src/validator/manager/validation.py b/pollution_v2/src/validator/manager/validation.py index 902af6ec..8601591d 100644 --- a/pollution_v2/src/validator/manager/validation.py +++ b/pollution_v2/src/validator/manager/validation.py @@ -67,7 +67,7 @@ def _download_history_data(self, return HistoryMeasureCollection(measures=measures) def _download_data_and_compute(self, start_date: datetime, to_date: datetime, - traffic_station: TrafficSensorStation) -> List[GenericEntry]: + stations: List[TrafficSensorStation]) -> List[GenericEntry]: history_data = [] traffic_data = [] @@ -75,19 +75,17 @@ def _download_data_and_compute(self, start_date: datetime, to_date: datetime, # no station as for history every station is needed history_data = self._download_history_data(start_date, to_date) # no station as parameter as validation needs data from all stations - traffic_data = self._download_traffic_data(start_date, to_date) + traffic_data = self._download_traffic_data(start_date, to_date, stations) except Exception as e: logger.exception( f"Unable to download history and traffic data " f"in the interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", exc_info=e) - all_traffic_stations = self.get_traffic_stations_from_cache() - if history_data and traffic_data: model = ValidationModel() return model.compute_data(history_data, TrafficMeasureCollection(traffic_data), - traffic_station, all_traffic_stations) + stations) return [] diff --git a/pollution_v2/src/validator/model/validation_model.py b/pollution_v2/src/validator/model/validation_model.py index 406f098a..865d56e0 100644 --- a/pollution_v2/src/validator/model/validation_model.py +++ b/pollution_v2/src/validator/model/validation_model.py @@ -21,19 +21,23 @@ logger = logging.getLogger("pollution_v2.validator.model.validation_model") +def _get_station_on_logs(stations: List[TrafficSensorStation]): + return (f"[{', '.join([station.code for station in (stations[:5] if len(stations) > 5 else stations)])}" + f"{' and more' if len(stations) > 5 else ''}]") + + class ValidationModel: """ The model for computing validation data. """ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasureCollection, - station: TrafficSensorStation, stations: List[TrafficSensorStation]) -> List[ValidationEntry]: + stations: List[TrafficSensorStation]) -> List[ValidationEntry]: """ Compute the validation given the available traffic measures :param history: A collection which contain measures history :param traffic: A collection which contain all the available traffic measures - :param station: A station to be processed :param stations: List of all stations :return: A list of the new computed validation measures """ @@ -45,13 +49,13 @@ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasur if measure.valid_time.date() in history_dates.difference(traffic_dates)} if len(diff) > 0: logger.warning(f"Missing traffic data for the following dates [{sorted(diff)}] " - f"while processing [{station.code}]: {len(diff)} " + f"while processing [{_get_station_on_logs(stations)}]: {len(diff)} " f"records will not be processed") diff = {measure.valid_time.date() for measure in traffic.measures if measure.valid_time.date() in traffic_dates.difference(history_dates)} if len(diff) > 0: logger.warning(f"Missing history data for the following dates [{sorted(diff)}] " - f"while processing [{station.code}]: {len(diff)} " + f"while processing [{_get_station_on_logs(stations)}]: {len(diff)} " f"records will not be processed") run_on_dates = history_dates.intersection(traffic_dates) @@ -66,7 +70,7 @@ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasur if len(traffic_entries) > 0 and len(history_entries) > 0: for date in run_on_dates: traffic_df = ModelHelper.get_traffic_dataframe_for_validation(traffic_entries, date) - logger.info(f"Starting validation on {len(traffic_df)} traffic records on station [{station.code}] " + logger.info(f"Starting validation on {len(traffic_df)} traffic records on station [{_get_station_on_logs(stations)}] " f"on [{date}]") history_df = ModelHelper.get_history_dataframe(history_entries, date) out_df = validator(date.strftime('%Y-%m-%d'), traffic_df, history_df, From 776ba66e6b4acba107a0f758799015ebd9a878e1 Mon Sep 17 00:00:00 2001 From: Nicola Date: Fri, 19 Apr 2024 16:01:48 +0200 Subject: [PATCH 066/154] Fix warning layer 2 stats --- pollution_v2/src/validator/Station.py | 28 +++++--------- pollution_v2/src/validator/Validator.py | 50 ++++++++++--------------- 2 files changed, 30 insertions(+), 48 deletions(-) diff --git a/pollution_v2/src/validator/Station.py b/pollution_v2/src/validator/Station.py index 55db6dde..724d25af 100644 --- a/pollution_v2/src/validator/Station.py +++ b/pollution_v2/src/validator/Station.py @@ -4,15 +4,10 @@ #!/usr/bin/env python3 # -*- coding: utf-8 -*- - -import logging - import numpy as np import pandas as pd import matplotlib.pyplot as plt -logger = logging.getLogger("pollution_v2.validator.Station") - class Station: # Inizializza l'oggetto stazione con le caratteristiche identificative # e i dati giornalieri. @@ -23,6 +18,7 @@ def __init__(self, data, history, ID, direction, chilometriche, N): self.raw = data[(data['station'] == ID) & (data['direction'] == direction)] self.daily = int(self.raw['value'].sum()) self.skip_validation = False + self.skip_l2_validation = False self.getStats(history, chilometriche, N) self.zscore1 = 0 self.zscore1_1 = 0 @@ -35,8 +31,8 @@ def getStats(self, history, chilometriche, N): self.lane_selector() history_len = history[history['station'] == self.ID].shape[0] if self.ID not in history['station'].values or history_len < 10: - if self.ID not in chilometriche.index.values: - logger.info(f'{self.ID:<4} {self.direction:<4} no history, no information about position --> skip layer 1, 1.1, 2') + if self.ID not in chilometriche.keys(): + print(f'{self.ID:<4} {self.direction:<4} no history, no information about position --> skip layer 1, 1.1, 2') self.skip_validation = True self.layer1 = None self.layer1_1 = None @@ -47,15 +43,14 @@ def getStats(self, history, chilometriche, N): nearest = self.nearest_stations_L1(chilometriche, history, N) history_data = history[(history['station'].isin(nearest)) & (history['lane'].isin(self.lane))] history_data = history_data.groupby(['date', 'lane', 'daytype'])['total_traffic'].mean().reset_index() - logger.info(f'{self.ID:<4} {self.direction:<4} no history, get statistics from {nearest} stations') + print(f'{self.ID:<4} {self.direction:<4} no history, get statistics from {nearest} stations') else: history_data = history[(history['station'] == self.ID) & (history['lane'].isin(self.lane))] - logger.debug(f'{self.ID:<4} {self.direction:<4}') + print(f'{self.ID:<4} {self.direction:<4}') if history_data is not None: agg_hist = history_data[history_data['lane'].isin(self.lane)].groupby(['date', 'daytype']).agg({'total_traffic': 'sum'}).reset_index() else: self.skip_validation = True - # TODO move in previous if? self.layer1_stats = agg_hist['total_traffic'].agg(['mean', 'std']).to_dict() # Calcolo statistiche distribuzione corsie per layer 2 @@ -64,7 +59,8 @@ def getStats(self, history, chilometriche, N): layer2_hist['ratio'] = layer2_hist[self.lane[0]] / layer2_hist[self.lane[1]] self.layer2_stats = layer2_hist['ratio'].agg(['mean', 'std']).to_dict() else: - logger.info(f'{self.ID:<4} {self.direction:<4} no lane history --> skip layer 2 validation') + print(f'{self.ID:<4} {self.direction:<4} no lane history --> skip layer 2 validation') + self.skip_l2_validation = True # Identifica le N stazioni a valle e le N stazioni a monte più vicine. def nearest_stations_L1(self, chilometriche, history, N): @@ -97,7 +93,7 @@ def zScore_1(self): try: self.zscore1 = (self.daily - self.layer1_stats['mean'])/self.layer1_stats['std'] except Exception as e: - logger.warning(f'error computing zscore layer 1 for {self.ID} {self.direction}: {e}') + print(f'error computing zscore layer 1 for {self.ID} {self.direction}: {e}') self.zscore1 = None def zScore1_1(self, chilometriche, dominio, N): @@ -107,7 +103,7 @@ def zScore1_1(self, chilometriche, dominio, N): self.layer1_1_stats = {'mean': np.mean(nearest_data), 'std': np.std(nearest_data)} self.zscore1_1 = (self.daily - np.mean(nearest_data))/np.std(nearest_data) except Exception as e: - logger.warning(f'error computing zscore layer 1.1 for {self.ID} {self.direction}: {e}') + print(f'error computing zscore layer 1.1 for {self.ID} {self.direction}: {e}') self.zscore1_1 = None # Calcola lo z-score per i dati giornalieri sulla base della corsia. @@ -119,11 +115,7 @@ def zScore_2(self): lane_ratio = traffic_per_lane.iloc[0]['value']/traffic_per_lane.iloc[1]['value'] self.zscore2 = (lane_ratio - self.layer2_stats['mean'])/self.layer2_stats['std'] except KeyError as e: - logger.warning(f'error computing zscore layer 2 for {self.ID} {self.direction}: {e}') - self.zscore2 = None - except Exception as e: - # TODO is there a way to manage better this case? - logger.warning(f'Exception computing zscore layer 2 for {self.ID} {self.direction}: {e}') + print(f'error computing zscore layer 2 for {self.ID} {self.direction}: {e}') self.zscore2 = None else: self.zscore2 = None diff --git a/pollution_v2/src/validator/Validator.py b/pollution_v2/src/validator/Validator.py index 6a879955..e59413eb 100644 --- a/pollution_v2/src/validator/Validator.py +++ b/pollution_v2/src/validator/Validator.py @@ -2,23 +2,8 @@ # # SPDX-License-Identifier: AGPL-3.0-or-later -import os -import logging - -import pandas as pd - -from validator.Dominio import Dominio -from validator.Input import Input -from validator.Parametri import Parametri -from validator.Station import Station - -default_config_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '../config/validator.yaml')) - -logger = logging.getLogger("pollution_v2.validator.Validator") - - # Il metodo utilizzato per validare i dati per il giorno specificato -def validator(day, raw_data, history, km, station_type, config=default_config_path): +def validator(day, raw_data, history, km, station_type, config = '../../config/validator.yaml'): """ :param day: data per la quale validare i dati :param raw_data: dataframe con i dati grezzi @@ -31,6 +16,11 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa # ------------------------------------------------------------------------- # Import Moduli # ------------------------------------------------------------------------- + from Parametri import Parametri + from Input import Input + from Dominio import Dominio + from Station import Station + import pandas as pd pd.options.mode.chained_assignment = None # ------------------------------------------------------------------------- @@ -47,19 +37,18 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa # ------------------------------------------------------------------------- # Inizializzazione dominio e stazioni # ------------------------------------------------------------------------- - logging.debug(f'...initializing data for day {day}') + print(f'...initializing data for day {day}') A22 = Dominio(data) for index, row in data.station_list.iterrows(): - station_type = data.station_type[data.station_type['station_id'] == row['station']]['station_type'].item() - if station_type != 'TVCC' or station_type != 'RADAR': + if data.station_type[row['station']] != 'TVCC' or data.station_type[row['station']] != 'RADAR': # inizializza l'oggetto stazione e aggiungilo all'oggetto dominio - s = Station(data.raw_data, data.history, row['station'], row['direction'], data.chilometriche, - params.layer1('n')) + s = Station(data.raw_data, data.history, row['station'], row['direction'], data.chilometriche, params.layer1('n')) A22.add_station(s) + print('-----------------------') # ------------------------------------------------------------------------- # Layer 1 # ------------------------------------------------------------------------- - logging.debug('...validation starting') + print('...validation starting') for s in A22.station_list: if s.skip_validation == False: # calcolo Z-score @@ -68,7 +57,7 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa s.layer1_validation(params) if s.layer1 == False: A22.layer1_not_valid_station(s) - logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 1') + print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1') if plot: s.plot('layer1') # ------------------------------------------------------------------------- @@ -81,26 +70,26 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa s.layer1_1_validation(params, A22) if s.layer1_1 == False: if s in A22.layer1_not_valid: - logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1 (confirmed)') + print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1 (confirmed)') else: - logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1') + print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1') A22.layer1_1_not_valid_station(s) if plot: s.plot('layer1') else: if s in A22.layer1_not_valid: - logging.info(f'{s.ID:<4} {s.direction:<4} valid for layer 1.1 (not confirmed)') + print(f'{s.ID:<4} {s.direction:<4} valid for layer 1.1 (not confirmed)') # ------------------------------------------------------------------------- # Layer 2 # ------------------------------------------------------------------------- for s in A22.station_list: - if s.skip_validation == False: + if s.skip_validation == False and s.skip_l2_validation == False: # calcolo Z-score s.zScore_2() # assegna flag di validità basato su confronto z-score con valori limite s.layer2_validation(params, A22) if s.layer2 == False: - logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 2') + print(f'{s.ID:<4} {s.direction:<4} not valid for layer 2') A22.layer2_not_valid_station(s) # ------------------------------------------------------------------------- # Layer 3 @@ -108,11 +97,12 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa for s in A22.station_list: s.layer3_validation() if any(not value for value in s.layer3.values()): - logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 3') + print(f'{s.ID:<4} {s.direction:<4} not valid for layer 3') if plot: s.plot('layer3') A22.layer3_not_valid_station(s) - logging.info('...validation complete!') + print('-----------------------') + print('...validation complete!') # ----------------------------------------------------------------------------- # Output # ----------------------------------------------------------------------------- From 595752a0dc6ba54e3aa9281264f3bbab1bdd5f93 Mon Sep 17 00:00:00 2001 From: Nicola Date: Fri, 19 Apr 2024 16:04:00 +0200 Subject: [PATCH 067/154] add print nearest stations list for layer 1.1 debug --- pollution_v2/src/validator/Station.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pollution_v2/src/validator/Station.py b/pollution_v2/src/validator/Station.py index 724d25af..f098f018 100644 --- a/pollution_v2/src/validator/Station.py +++ b/pollution_v2/src/validator/Station.py @@ -77,6 +77,7 @@ def nearest_stations_L1_1(self, chilometriche, dominio, N): stations_sort = sorted(diff.items(), key=lambda x: x[1]) nearest = [key for key, _ in stations_sort[:2*N]] nearest.remove(self.ID) + print("Nearest " + str(self.ID) + ": " + str(nearest)) return nearest # Seleziona il numero delle corsie in base alla direzione di marcia From ff0d1a3166c7650f62a64962576fee8232543991 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 19 Apr 2024 16:23:15 +0200 Subject: [PATCH 068/154] pollution_v2: logger and small change to access to dataframes restored - issue #24 --- pollution_v2/src/validator/Station.py | 21 ++++++----- pollution_v2/src/validator/Validator.py | 48 +++++++++++++++---------- 2 files changed, 42 insertions(+), 27 deletions(-) diff --git a/pollution_v2/src/validator/Station.py b/pollution_v2/src/validator/Station.py index f098f018..7951cafa 100644 --- a/pollution_v2/src/validator/Station.py +++ b/pollution_v2/src/validator/Station.py @@ -4,10 +4,15 @@ #!/usr/bin/env python3 # -*- coding: utf-8 -*- + +import logging + import numpy as np import pandas as pd import matplotlib.pyplot as plt +logger = logging.getLogger("pollution_v2.validator.Station") + class Station: # Inizializza l'oggetto stazione con le caratteristiche identificative # e i dati giornalieri. @@ -32,7 +37,7 @@ def getStats(self, history, chilometriche, N): history_len = history[history['station'] == self.ID].shape[0] if self.ID not in history['station'].values or history_len < 10: if self.ID not in chilometriche.keys(): - print(f'{self.ID:<4} {self.direction:<4} no history, no information about position --> skip layer 1, 1.1, 2') + logger.info(f'{self.ID:<4} {self.direction:<4} no history, no information about position --> skip layer 1, 1.1, 2') self.skip_validation = True self.layer1 = None self.layer1_1 = None @@ -43,10 +48,10 @@ def getStats(self, history, chilometriche, N): nearest = self.nearest_stations_L1(chilometriche, history, N) history_data = history[(history['station'].isin(nearest)) & (history['lane'].isin(self.lane))] history_data = history_data.groupby(['date', 'lane', 'daytype'])['total_traffic'].mean().reset_index() - print(f'{self.ID:<4} {self.direction:<4} no history, get statistics from {nearest} stations') + logger.info(f'{self.ID:<4} {self.direction:<4} no history, get statistics from {nearest} stations') else: history_data = history[(history['station'] == self.ID) & (history['lane'].isin(self.lane))] - print(f'{self.ID:<4} {self.direction:<4}') + logger.debug(f'{self.ID:<4} {self.direction:<4}') if history_data is not None: agg_hist = history_data[history_data['lane'].isin(self.lane)].groupby(['date', 'daytype']).agg({'total_traffic': 'sum'}).reset_index() else: @@ -59,7 +64,7 @@ def getStats(self, history, chilometriche, N): layer2_hist['ratio'] = layer2_hist[self.lane[0]] / layer2_hist[self.lane[1]] self.layer2_stats = layer2_hist['ratio'].agg(['mean', 'std']).to_dict() else: - print(f'{self.ID:<4} {self.direction:<4} no lane history --> skip layer 2 validation') + logger.info(f'{self.ID:<4} {self.direction:<4} no lane history --> skip layer 2 validation') self.skip_l2_validation = True # Identifica le N stazioni a valle e le N stazioni a monte più vicine. @@ -77,7 +82,7 @@ def nearest_stations_L1_1(self, chilometriche, dominio, N): stations_sort = sorted(diff.items(), key=lambda x: x[1]) nearest = [key for key, _ in stations_sort[:2*N]] nearest.remove(self.ID) - print("Nearest " + str(self.ID) + ": " + str(nearest)) + logger.info("Nearest " + str(self.ID) + ": " + str(nearest)) return nearest # Seleziona il numero delle corsie in base alla direzione di marcia @@ -94,7 +99,7 @@ def zScore_1(self): try: self.zscore1 = (self.daily - self.layer1_stats['mean'])/self.layer1_stats['std'] except Exception as e: - print(f'error computing zscore layer 1 for {self.ID} {self.direction}: {e}') + logger.warning(f'error computing zscore layer 1 for {self.ID} {self.direction}: {e}') self.zscore1 = None def zScore1_1(self, chilometriche, dominio, N): @@ -104,7 +109,7 @@ def zScore1_1(self, chilometriche, dominio, N): self.layer1_1_stats = {'mean': np.mean(nearest_data), 'std': np.std(nearest_data)} self.zscore1_1 = (self.daily - np.mean(nearest_data))/np.std(nearest_data) except Exception as e: - print(f'error computing zscore layer 1.1 for {self.ID} {self.direction}: {e}') + logger.warning(f'error computing zscore layer 1.1 for {self.ID} {self.direction}: {e}') self.zscore1_1 = None # Calcola lo z-score per i dati giornalieri sulla base della corsia. @@ -116,7 +121,7 @@ def zScore_2(self): lane_ratio = traffic_per_lane.iloc[0]['value']/traffic_per_lane.iloc[1]['value'] self.zscore2 = (lane_ratio - self.layer2_stats['mean'])/self.layer2_stats['std'] except KeyError as e: - print(f'error computing zscore layer 2 for {self.ID} {self.direction}: {e}') + logger.warning(f'error computing zscore layer 2 for {self.ID} {self.direction}: {e}') self.zscore2 = None else: self.zscore2 = None diff --git a/pollution_v2/src/validator/Validator.py b/pollution_v2/src/validator/Validator.py index e59413eb..a6aeca7c 100644 --- a/pollution_v2/src/validator/Validator.py +++ b/pollution_v2/src/validator/Validator.py @@ -2,8 +2,23 @@ # # SPDX-License-Identifier: AGPL-3.0-or-later +import os +import logging + +import pandas as pd + +from validator.Dominio import Dominio +from validator.Input import Input +from validator.Parametri import Parametri +from validator.Station import Station + +default_config_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '../config/validator.yaml')) + +logger = logging.getLogger("pollution_v2.validator.Validator") + + # Il metodo utilizzato per validare i dati per il giorno specificato -def validator(day, raw_data, history, km, station_type, config = '../../config/validator.yaml'): +def validator(day, raw_data, history, km, station_type, config=default_config_path): """ :param day: data per la quale validare i dati :param raw_data: dataframe con i dati grezzi @@ -16,11 +31,6 @@ def validator(day, raw_data, history, km, station_type, config = '../../config/v # ------------------------------------------------------------------------- # Import Moduli # ------------------------------------------------------------------------- - from Parametri import Parametri - from Input import Input - from Dominio import Dominio - from Station import Station - import pandas as pd pd.options.mode.chained_assignment = None # ------------------------------------------------------------------------- @@ -37,18 +47,19 @@ def validator(day, raw_data, history, km, station_type, config = '../../config/v # ------------------------------------------------------------------------- # Inizializzazione dominio e stazioni # ------------------------------------------------------------------------- - print(f'...initializing data for day {day}') + logging.debug(f'...initializing data for day {day}') A22 = Dominio(data) for index, row in data.station_list.iterrows(): - if data.station_type[row['station']] != 'TVCC' or data.station_type[row['station']] != 'RADAR': + station_type = data.station_type[data.station_type['station_id'] == row['station']]['station_type'].item() + if station_type != 'TVCC' or station_type != 'RADAR': # inizializza l'oggetto stazione e aggiungilo all'oggetto dominio - s = Station(data.raw_data, data.history, row['station'], row['direction'], data.chilometriche, params.layer1('n')) + s = Station(data.raw_data, data.history, row['station'], row['direction'], data.chilometriche, + params.layer1('n')) A22.add_station(s) - print('-----------------------') # ------------------------------------------------------------------------- # Layer 1 # ------------------------------------------------------------------------- - print('...validation starting') + logging.debug('...validation starting') for s in A22.station_list: if s.skip_validation == False: # calcolo Z-score @@ -57,7 +68,7 @@ def validator(day, raw_data, history, km, station_type, config = '../../config/v s.layer1_validation(params) if s.layer1 == False: A22.layer1_not_valid_station(s) - print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1') + logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 1') if plot: s.plot('layer1') # ------------------------------------------------------------------------- @@ -70,15 +81,15 @@ def validator(day, raw_data, history, km, station_type, config = '../../config/v s.layer1_1_validation(params, A22) if s.layer1_1 == False: if s in A22.layer1_not_valid: - print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1 (confirmed)') + logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1 (confirmed)') else: - print(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1') + logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1') A22.layer1_1_not_valid_station(s) if plot: s.plot('layer1') else: if s in A22.layer1_not_valid: - print(f'{s.ID:<4} {s.direction:<4} valid for layer 1.1 (not confirmed)') + logging.info(f'{s.ID:<4} {s.direction:<4} valid for layer 1.1 (not confirmed)') # ------------------------------------------------------------------------- # Layer 2 # ------------------------------------------------------------------------- @@ -89,7 +100,7 @@ def validator(day, raw_data, history, km, station_type, config = '../../config/v # assegna flag di validità basato su confronto z-score con valori limite s.layer2_validation(params, A22) if s.layer2 == False: - print(f'{s.ID:<4} {s.direction:<4} not valid for layer 2') + logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 2') A22.layer2_not_valid_station(s) # ------------------------------------------------------------------------- # Layer 3 @@ -97,12 +108,11 @@ def validator(day, raw_data, history, km, station_type, config = '../../config/v for s in A22.station_list: s.layer3_validation() if any(not value for value in s.layer3.values()): - print(f'{s.ID:<4} {s.direction:<4} not valid for layer 3') + logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 3') if plot: s.plot('layer3') A22.layer3_not_valid_station(s) - print('-----------------------') - print('...validation complete!') + logging.info('...validation complete!') # ----------------------------------------------------------------------------- # Output # ----------------------------------------------------------------------------- From 7543454031002a93d41de428704b6d9bb82ce9f7 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 22 Apr 2024 12:44:24 +0200 Subject: [PATCH 069/154] pollution_v2: fixed km and station_types input (dict), minor fixes, more logs, try for exceptions, code refactor - issue #24 --- pollution_v2/src/validator/Dominio.py | 2 +- pollution_v2/src/validator/Input.py | 3 +- pollution_v2/src/validator/Station.py | 57 ++++++++++++------- pollution_v2/src/validator/Validator.py | 4 +- .../src/validator/model/validation_model.py | 4 +- 5 files changed, 45 insertions(+), 25 deletions(-) diff --git a/pollution_v2/src/validator/Dominio.py b/pollution_v2/src/validator/Dominio.py index 7933cd4c..7173049f 100644 --- a/pollution_v2/src/validator/Dominio.py +++ b/pollution_v2/src/validator/Dominio.py @@ -56,7 +56,7 @@ def overall_validation(self): else: df['layer_1_1'] = s.layer1_1 - if s.layer2 is None: + if not hasattr(s, 'layer2') or s.layer2 is None: df['layer_2'] = 999 else: df['layer_2'] = s.layer2 diff --git a/pollution_v2/src/validator/Input.py b/pollution_v2/src/validator/Input.py index 31e3a97b..8eae9630 100644 --- a/pollution_v2/src/validator/Input.py +++ b/pollution_v2/src/validator/Input.py @@ -44,8 +44,7 @@ def get_raw_data(self, raw_data): raw_data[['domain', 'station', 'lane']] = raw_data['station_code'].str.split(':', expand=True) raw_data['direction'] = raw_data['lane'].map({'1': 'NORD', '2': 'NORD', '3': 'SUD', '4': 'SUD', '5': 'NORD', '6': 'SUD'}) raw_data['station'] = raw_data['station'].astype(int) - raw_data['km'] = pd.merge(raw_data[['station']].drop_duplicates(), self.chilometriche, - left_on='station', right_on='station_id')['km'] + raw_data['km'] = raw_data['station'].map(self.chilometriche) return raw_data def get_stations(self): diff --git a/pollution_v2/src/validator/Station.py b/pollution_v2/src/validator/Station.py index 7951cafa..c6d0e024 100644 --- a/pollution_v2/src/validator/Station.py +++ b/pollution_v2/src/validator/Station.py @@ -11,8 +11,14 @@ import pandas as pd import matplotlib.pyplot as plt +from cmath import isinf + logger = logging.getLogger("pollution_v2.validator.Station") +# TODO check if there are any drawbacks in using this +np.seterr(all='raise') + + class Station: # Inizializza l'oggetto stazione con le caratteristiche identificative # e i dati giornalieri. @@ -37,7 +43,8 @@ def getStats(self, history, chilometriche, N): history_len = history[history['station'] == self.ID].shape[0] if self.ID not in history['station'].values or history_len < 10: if self.ID not in chilometriche.keys(): - logger.info(f'{self.ID:<4} {self.direction:<4} no history, no information about position --> skip layer 1, 1.1, 2') + logger.info( + f'{self.ID:<4} {self.direction:<4} no history, no information about position --> skip layer 1, 1.1, 2') self.skip_validation = True self.layer1 = None self.layer1_1 = None @@ -53,7 +60,8 @@ def getStats(self, history, chilometriche, N): history_data = history[(history['station'] == self.ID) & (history['lane'].isin(self.lane))] logger.debug(f'{self.ID:<4} {self.direction:<4}') if history_data is not None: - agg_hist = history_data[history_data['lane'].isin(self.lane)].groupby(['date', 'daytype']).agg({'total_traffic': 'sum'}).reset_index() + agg_hist = history_data[history_data['lane'].isin(self.lane)].groupby(['date', 'daytype']).agg( + {'total_traffic': 'sum'}).reset_index() else: self.skip_validation = True self.layer1_stats = agg_hist['total_traffic'].agg(['mean', 'std']).to_dict() @@ -62,7 +70,12 @@ def getStats(self, history, chilometriche, N): layer2_hist = history_data.pivot_table(index='date', columns='lane', values='total_traffic', aggfunc='mean') if layer2_hist.shape[1] == 2: layer2_hist['ratio'] = layer2_hist[self.lane[0]] / layer2_hist[self.lane[1]] - self.layer2_stats = layer2_hist['ratio'].agg(['mean', 'std']).to_dict() + try: + self.layer2_stats = layer2_hist['ratio'].agg(['mean', 'std']).to_dict() + except: + logger.error(f"unable to calculate layer2_stats as cannot aggregate layer2_hist['ratio'] " + f"containing {layer2_hist[layer2_hist['ratio'].isna()].shape[0]} NaN values " + f"and {layer2_hist[np.isfinite(layer2_hist).all(1)].shape[0]} infinite values") else: logger.info(f'{self.ID:<4} {self.direction:<4} no lane history --> skip layer 2 validation') self.skip_l2_validation = True @@ -72,7 +85,7 @@ def nearest_stations_L1(self, chilometriche, history, N): hist_stations = {k: v for k, v in chilometriche.items() if k in history['station'].unique()} diff = {k: abs(v - self.km) for k, v in hist_stations.items()} stations_sort = sorted(diff.items(), key=lambda x: x[1]) - nearest = [key for key, _ in stations_sort[:2*N]] + nearest = [key for key, _ in stations_sort[:2 * N]] return nearest def nearest_stations_L1_1(self, chilometriche, dominio, N): @@ -80,24 +93,24 @@ def nearest_stations_L1_1(self, chilometriche, dominio, N): stations = {k: v for k, v in chilometriche.items() if k in station_list} diff = {k: abs(v - self.km) for k, v in stations.items()} stations_sort = sorted(diff.items(), key=lambda x: x[1]) - nearest = [key for key, _ in stations_sort[:2*N]] + nearest = [key for key, _ in stations_sort[:2 * N]] nearest.remove(self.ID) - logger.info("Nearest " + str(self.ID) + ": " + str(nearest)) + logger.debug("Nearest " + str(self.ID) + ": " + str(nearest)) return nearest # Seleziona il numero delle corsie in base alla direzione di marcia def lane_selector(self): if self.direction == 'NORD': - self.lane = ['1','2'] + self.lane = ['1', '2'] elif self.direction == 'SUD': - self.lane = ['3','4'] + self.lane = ['3', '4'] else: self.lane = [] # Calcola lo z-score per i dati giornalieri. def zScore_1(self): try: - self.zscore1 = (self.daily - self.layer1_stats['mean'])/self.layer1_stats['std'] + self.zscore1 = (self.daily - self.layer1_stats['mean']) / self.layer1_stats['std'] except Exception as e: logger.warning(f'error computing zscore layer 1 for {self.ID} {self.direction}: {e}') self.zscore1 = None @@ -105,9 +118,10 @@ def zScore_1(self): def zScore1_1(self, chilometriche, dominio, N): try: nearest = self.nearest_stations_L1_1(chilometriche, dominio, N) - nearest_data = [stazione.daily for stazione in dominio.station_list if stazione.ID in nearest and stazione.direction == self.direction] + nearest_data = [stazione.daily for stazione in dominio.station_list if + stazione.ID in nearest and stazione.direction == self.direction] self.layer1_1_stats = {'mean': np.mean(nearest_data), 'std': np.std(nearest_data)} - self.zscore1_1 = (self.daily - np.mean(nearest_data))/np.std(nearest_data) + self.zscore1_1 = (self.daily - np.mean(nearest_data)) / np.std(nearest_data) except Exception as e: logger.warning(f'error computing zscore layer 1.1 for {self.ID} {self.direction}: {e}') self.zscore1_1 = None @@ -118,11 +132,14 @@ def zScore_2(self): if len(traffic_per_lane) == 2: if traffic_per_lane.iloc[1]['value'] != 0: try: - lane_ratio = traffic_per_lane.iloc[0]['value']/traffic_per_lane.iloc[1]['value'] - self.zscore2 = (lane_ratio - self.layer2_stats['mean'])/self.layer2_stats['std'] + lane_ratio = traffic_per_lane.iloc[0]['value'] / traffic_per_lane.iloc[1]['value'] + self.zscore2 = (lane_ratio - self.layer2_stats['mean']) / self.layer2_stats['std'] except KeyError as e: logger.warning(f'error computing zscore layer 2 for {self.ID} {self.direction}: {e}') self.zscore2 = None + except Exception as e: + logger.warning(f'exception computing zscore layer 2 for {self.ID} {self.direction}: {e}') + self.zscore2 = None else: self.zscore2 = None else: @@ -151,7 +168,7 @@ def layer1_validation(self, limit): else: self.layer1 = False else: - self.layer1 = None + self.layer1 = None def layer1_1_validation(self, limit, dominio): if self.zscore1_1 is not None: @@ -174,7 +191,7 @@ def layer1_1_validation(self, limit, dominio): else: self.layer1_1 = False else: - self.layer1_1 = None + self.layer1_1 = None def layer2_validation(self, limit, dominio): if self.zscore2 is not None: @@ -197,7 +214,7 @@ def layer2_validation(self, limit, dominio): else: self.layer2 = False else: - self.layer2 = None + self.layer2 = None def layer3_validation(self): df = self.raw.groupby(['time', 'station', 'direction'])['value'].sum().reset_index() @@ -205,7 +222,7 @@ def layer3_validation(self): df['deriv'] = np.where((df['derivata'] <= -99), False, True) df['shift'] = np.where((df['value'].shift(1) >= 50), False, True) df['is_valid'] = np.where( - ((df['derivata'] <= -99) & (df['value'].shift(1) >= 50 ))| + ((df['derivata'] <= -99) & (df['value'].shift(1) >= 50)) | (df['value'].rolling(window=4).sum() == 0) | (df['value'].rolling(window=4).sum().shift(-3) == 0) | (df['value'].rolling(window=4).sum().shift(-2) == 0) | @@ -219,8 +236,10 @@ def plot(self, layer): agg_dir_df = dir_df.groupby('time')['value'].sum().reset_index() agg_dir_df.plot(x='time', y='value', rot=90, figsize=(10, 6)) if layer == 'layer3': - self.merged = agg_dir_df.merge(pd.DataFrame(list(self.layer3.items()), columns=['time', 'is_valid']), on='time', how='left') - plt.scatter(self.merged.index[~self.merged['is_valid']], self.merged['value'][~self.merged['is_valid']], color='red', label='Invalid values', s=50) + self.merged = agg_dir_df.merge(pd.DataFrame(list(self.layer3.items()), columns=['time', 'is_valid']), + on='time', how='left') + plt.scatter(self.merged.index[~self.merged['is_valid']], self.merged['value'][~self.merged['is_valid']], + color='red', label='Invalid values', s=50) plt.ylabel('Vehicles/10min') plt.grid(True) plt.tight_layout() diff --git a/pollution_v2/src/validator/Validator.py b/pollution_v2/src/validator/Validator.py index a6aeca7c..78446264 100644 --- a/pollution_v2/src/validator/Validator.py +++ b/pollution_v2/src/validator/Validator.py @@ -50,12 +50,14 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa logging.debug(f'...initializing data for day {day}') A22 = Dominio(data) for index, row in data.station_list.iterrows(): - station_type = data.station_type[data.station_type['station_id'] == row['station']]['station_type'].item() + station_type = data.station_type[row['station']] if station_type != 'TVCC' or station_type != 'RADAR': # inizializza l'oggetto stazione e aggiungilo all'oggetto dominio s = Station(data.raw_data, data.history, row['station'], row['direction'], data.chilometriche, params.layer1('n')) A22.add_station(s) + else: + logger.error(f"skipping station_type {station_type}!") # ------------------------------------------------------------------------- # Layer 1 # ------------------------------------------------------------------------- diff --git a/pollution_v2/src/validator/model/validation_model.py b/pollution_v2/src/validator/model/validation_model.py index 865d56e0..7dc7b114 100644 --- a/pollution_v2/src/validator/model/validation_model.py +++ b/pollution_v2/src/validator/model/validation_model.py @@ -74,8 +74,8 @@ def compute_data(self, history: HistoryMeasureCollection, traffic: TrafficMeasur f"on [{date}]") history_df = ModelHelper.get_history_dataframe(history_entries, date) out_df = validator(date.strftime('%Y-%m-%d'), traffic_df, history_df, - stations_df[["station_id", "km"]].drop_duplicates(), - stations_df[["station_id", "station_type"]].drop_duplicates()) + stations_df[["station_id", "km"]].drop_duplicates().set_index("station_id")["km"].to_dict(), + stations_df[["station_id", "station_type"]].drop_duplicates().set_index("station_id")["station_type"].to_dict()) lst = self._get_entries_from_df(out_df, date.strftime('%Y-%m-%d'), PERIOD_10MIN, traffic.get_stations()) res.extend(lst) else: From aa0f175ef3e6115a78c284fc23bcc8717bf1b40a Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Thu, 2 May 2024 09:08:30 +0200 Subject: [PATCH 070/154] pollution_v2: right usage of log --- pollution_v2/src/validator/Validator.py | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/pollution_v2/src/validator/Validator.py b/pollution_v2/src/validator/Validator.py index 78446264..a3dc150f 100644 --- a/pollution_v2/src/validator/Validator.py +++ b/pollution_v2/src/validator/Validator.py @@ -47,7 +47,7 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa # ------------------------------------------------------------------------- # Inizializzazione dominio e stazioni # ------------------------------------------------------------------------- - logging.debug(f'...initializing data for day {day}') + logger.debug(f'...initializing data for day {day}') A22 = Dominio(data) for index, row in data.station_list.iterrows(): station_type = data.station_type[row['station']] @@ -61,7 +61,7 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa # ------------------------------------------------------------------------- # Layer 1 # ------------------------------------------------------------------------- - logging.debug('...validation starting') + logger.debug('...validation starting') for s in A22.station_list: if s.skip_validation == False: # calcolo Z-score @@ -70,7 +70,7 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa s.layer1_validation(params) if s.layer1 == False: A22.layer1_not_valid_station(s) - logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 1') + logger.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 1') if plot: s.plot('layer1') # ------------------------------------------------------------------------- @@ -83,15 +83,15 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa s.layer1_1_validation(params, A22) if s.layer1_1 == False: if s in A22.layer1_not_valid: - logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1 (confirmed)') + logger.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1 (confirmed)') else: - logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1') + logger.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 1.1') A22.layer1_1_not_valid_station(s) if plot: s.plot('layer1') else: if s in A22.layer1_not_valid: - logging.info(f'{s.ID:<4} {s.direction:<4} valid for layer 1.1 (not confirmed)') + logger.info(f'{s.ID:<4} {s.direction:<4} valid for layer 1.1 (not confirmed)') # ------------------------------------------------------------------------- # Layer 2 # ------------------------------------------------------------------------- @@ -102,7 +102,7 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa # assegna flag di validità basato su confronto z-score con valori limite s.layer2_validation(params, A22) if s.layer2 == False: - logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 2') + logger.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 2') A22.layer2_not_valid_station(s) # ------------------------------------------------------------------------- # Layer 3 @@ -110,11 +110,11 @@ def validator(day, raw_data, history, km, station_type, config=default_config_pa for s in A22.station_list: s.layer3_validation() if any(not value for value in s.layer3.values()): - logging.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 3') + logger.info(f'{s.ID:<4} {s.direction:<4} not valid for layer 3') if plot: s.plot('layer3') A22.layer3_not_valid_station(s) - logging.info('...validation complete!') + logger.info('...validation complete!') # ----------------------------------------------------------------------------- # Output # ----------------------------------------------------------------------------- From 4993a1ca498664525792642bfcd7a470cb8f9301 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Thu, 2 May 2024 10:25:15 +0200 Subject: [PATCH 071/154] pollution_v2: change log level for message --- pollution_v2/src/validator/Station.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/pollution_v2/src/validator/Station.py b/pollution_v2/src/validator/Station.py index c6d0e024..5d51d86c 100644 --- a/pollution_v2/src/validator/Station.py +++ b/pollution_v2/src/validator/Station.py @@ -11,8 +11,6 @@ import pandas as pd import matplotlib.pyplot as plt -from cmath import isinf - logger = logging.getLogger("pollution_v2.validator.Station") # TODO check if there are any drawbacks in using this @@ -64,6 +62,7 @@ def getStats(self, history, chilometriche, N): {'total_traffic': 'sum'}).reset_index() else: self.skip_validation = True + # TODO move in previous if? self.layer1_stats = agg_hist['total_traffic'].agg(['mean', 'std']).to_dict() # Calcolo statistiche distribuzione corsie per layer 2 @@ -138,7 +137,7 @@ def zScore_2(self): logger.warning(f'error computing zscore layer 2 for {self.ID} {self.direction}: {e}') self.zscore2 = None except Exception as e: - logger.warning(f'exception computing zscore layer 2 for {self.ID} {self.direction}: {e}') + logger.error(f'exception computing zscore layer 2 for {self.ID} {self.direction}: {e}') self.zscore2 = None else: self.zscore2 = None From f9051dde4010fd0f0b9b282735c6512adf6aa921 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Thu, 2 May 2024 21:42:04 +0200 Subject: [PATCH 072/154] pollution_v2: more on validation - issue #24 --- pollution_v2/README.md | 36 ++++++++++--------- .../src/common/manager/traffic_station.py | 36 ++++++++++--------- .../src/dags/aiaas_pollution_computer.py | 2 +- pollution_v2/src/dags/aiaas_validator.py | 19 +++++----- pollution_v2/src/dags/common.py | 21 +++++++---- .../src/validator/model/validation_model.py | 2 +- 6 files changed, 66 insertions(+), 50 deletions(-) diff --git a/pollution_v2/README.md b/pollution_v2/README.md index c9e25c1c..793095b2 100644 --- a/pollution_v2/README.md +++ b/pollution_v2/README.md @@ -58,31 +58,35 @@ In details, the following step describe how the pollution computation DAG works. ### Setup the project -1. Clone the repository -2. Create a virtual environment and activate it: -```commandline -python3 -m venv venv -source .venv/bin/activate -``` +1. Clone the repository from [here](https://lab.u-hopper.com/u-hopper/projects/industrial/open-data-hub-bz/bdp-elaborations) +2. Move to `pollution_v2` folder + ```commandline + cd bdp-elaborations/pollution_v2 + ``` +3. Create a virtual environment and activate it: + ```commandline + python3 -m venv venv + source venv/bin/activate + ``` 3. Installing the requirements: -```commandline -pip install -r requirements.txt -``` + ```commandline + pip install -r requirements.txt + ``` 4. For a development environment is suggested to install and configure [pre-commit](https://pre-commit.com/). Pre-commit is a framework for managing and maintaining multi-language pre-commit hooks. The configuration available in this project will run some syntax check before each commit. -```commandline -pip install pre-commit -pre-commit install -``` + ```commandline + pip install pre-commit + pre-commit install + ``` ### Project folders * ```airflow``` contains Airflow installation files (under .gitignore) -* ```config``` contains configuration files for tasks, e.g. validator -* ```dags```contains DAG of the project * ```documentation``` contains UML diagrams describing the system * ```sample_data``` contains any sample data useful to test tasks (under .gitignore); sample data for validator are available [here](https://drive.google.com/file/d/1aPFDXOCECvA_h6npYe_aZ0k8vxHTwlYy/view?usp=drive_link) * ```src```contains source files -* ```test``` contains test files + * ```src/config``` contains configuration files for tasks, e.g. validator + * ```src/dags```contains DAG of the project + * ```src/tests``` contains test files * ```venv``` contains Python virtual environment (under .gitignore) ### Setup Airflow diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 5c73222b..860c058b 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -20,9 +20,9 @@ logger = logging.getLogger("pollution_v2.common.manager.traffic_station") -def _get_station_on_logs(stations: List[TrafficSensorStation]): +def _get_stations_on_logs(stations: List[TrafficSensorStation]): return (f"[{', '.join([station.code for station in (stations[:5] if len(stations) > 5 else stations)])}" - f"{' and more' if len(stations) > 5 else ''}]") + f"{' and more (' + str(len(stations)) + ')' if len(stations) > 5 else ''}]") class TrafficStationManager(ABC): @@ -100,36 +100,36 @@ def get_starting_date(self, connector: ODHBaseConnector, stations: List[TrafficS """ logger.info(f"Looking for latest measures available on [{type(connector).__name__}] " - f"for {_get_station_on_logs(stations)} ") + f"for {_get_stations_on_logs(stations)} ") from_date_across_stations = None for station in stations: latest_measure = self.__get_latest_measure(connector, station) if latest_measure is None: - logger.info(f"No measures available on [{type(connector).__name__}] for {_get_station_on_logs(stations)}") + logger.info(f"No measures available on [{type(connector).__name__}] for [{station.code}]") if self._checkpoint_cache is not None: logger.info( - f"Looking on checkpoints on [{type(connector).__name__}] for {_get_station_on_logs(stations)}") + f"Looking on checkpoints on [{type(connector).__name__}] for [{station.code}]") checkpoint = self._checkpoint_cache.get( ComputationCheckpoint.get_id_for_station(station, self._get_manager_code())) if checkpoint is not None: logger.info(f"Using checkpoint date [{checkpoint.checkpoint_dt}] as starting date " - f"for {_get_station_on_logs(stations)}") + f"for [{station.code}]") from_date = checkpoint.checkpoint_dt else: # If there isn't any latest measure available, # the min_from_date is used as starting date for the batch logger.info(f"No checkpoint, using min date [{min_from_date}] " - f"as starting date for {_get_station_on_logs(stations)}") + f"as starting date for [{station.code}]") from_date = min_from_date else: # If there isn't any latest measure available, # the min_from_date is used as starting date for the batch logger.info(f"No measures, using min date [{min_from_date}] " - f"as starting date for {_get_station_on_logs(stations)}") + f"as starting date for [{station.code}]") from_date = min_from_date else: logger.info(f"Measures found, using min date [{latest_measure.valid_time}] " - f"as starting date for {_get_station_on_logs(stations)}") + f"as starting date for [{station.code}]") from_date = latest_measure.valid_time if from_date.tzinfo is None: @@ -142,8 +142,10 @@ def get_starting_date(self, connector: ODHBaseConnector, stations: List[TrafficS from_date = from_date.replace(microsecond=0) if from_date < min_from_date: - logger.warning(f"Using latest measure date [{from_date.isoformat()}] as starting date, " - f"but it's before the minimum starting date [{min_from_date.isoformat()}]") + logger.warning(f"Latest measure date is [{from_date.isoformat()}] as candidate starting date, " + f"but it's before the minimum starting date [{min_from_date.isoformat()}]; " + f"using [{min_from_date.isoformat()}]") + from_date = min_from_date elif from_date > min_from_date: logger.info(f"Using latest measure date [{from_date.isoformat()}] as starting date, " f"which is after the minimum starting date [{min_from_date.isoformat()}]") @@ -243,7 +245,7 @@ def run_computation(self, :param batch_size: Number of days to be processed as maximum span. """ - logger.info(f"Determining computation interval for {_get_station_on_logs(stations)} " + logger.info(f"Determining computation interval for {_get_stations_on_logs(stations)} " f"between [{min_from_date}] and [{max_to_date}]") start_date = self.get_starting_date(self.get_output_connector(), stations, min_from_date) @@ -256,28 +258,28 @@ def run_computation(self, # For inactive stations, this latest measurement date will be < start_date, # thus no further requests will be made. In general, it makes no sense to ask for data # beyond the latest measurement, if we already know which date that is. - logger.info(f"Stations {_get_station_on_logs(stations)} has a large elaboration range " + logger.info(f"Stations {_get_stations_on_logs(stations)} has a large elaboration range " f"as latest measurement date is {latest_measurement_date}") max_to_date = min(max_to_date, latest_measurement_date) to_date = start_date if start_date == max_to_date: - logger.info(f"Not computing data for stations {_get_station_on_logs(stations)} in interval " + logger.info(f"Not computing data for stations {_get_stations_on_logs(stations)} in interval " f"[{start_date.isoformat()} - {to_date.isoformat()}] (no timespan)") elif start_date < max_to_date: to_date = to_date + timedelta(days=batch_size) if to_date > max_to_date: to_date = max_to_date - logger.info(f"Computing data for stations {_get_station_on_logs(stations)} in interval " + logger.info(f"Computing data for stations {_get_stations_on_logs(stations)} in interval " f"[{start_date.isoformat()} - {to_date.isoformat()}]") try: entries = self._download_data_and_compute(start_date, to_date, stations) self._upload_data(entries) except Exception as e: - logger.exception(f"Unable to compute data from stations {_get_station_on_logs(stations)} in the " + logger.exception(f"Unable to compute data from stations {_get_stations_on_logs(stations)} in the " f"interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", exc_info=e) if self._checkpoint_cache is not None: @@ -290,7 +292,7 @@ def run_computation(self, ) ) else: - logger.info(f"Nothing to process for stations {_get_station_on_logs(stations)} in interval " + logger.info(f"Nothing to process for stations {_get_stations_on_logs(stations)} in interval " f"[{start_date} - {to_date}]") def run_computation_and_upload_results(self, diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index dcb572d3..7a6de485 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -120,7 +120,7 @@ def process_station(station_dict: dict, **kwargs): computation_start_dt = datetime.now() logger.info(f"Running computation from [{min_from_date}] to [{max_to_date}]") - manager.run_computation(station, min_from_date, max_to_date, + manager.run_computation([station], min_from_date, max_to_date, ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION) computation_end_dt = datetime.now() diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py index 54ddd66a..7694e45c 100644 --- a/pollution_v2/src/dags/aiaas_validator.py +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -4,6 +4,7 @@ import logging from datetime import timedelta, datetime +from typing import List from airflow.decorators import task from airflow.utils.trigger_rule import TriggerRule @@ -91,7 +92,7 @@ def get_stations_list(**kwargs) -> list[dict]: """ manager = _init_manager() - stations_list = dag.get_stations_list(manager, **kwargs) + stations_list = dag.get_stations_list(manager, True, **kwargs) # Serialization and deserialization is dependent on speed. # Use built-in functions like dict as much as you can and stay away @@ -102,15 +103,14 @@ def get_stations_list(**kwargs) -> list[dict]: @task - def process_station(station_dict: dict, **kwargs): + def process_stations(station_dicts: List[dict], **kwargs): """ - Process a single station + Retrieves and process all the stations - :param station_dict: the station to process + :param station_dicts: list of stations dictionaries to be processed """ - station = TrafficSensorStation.from_json(station_dict) - logger.info(f"Received station {station}") + stations_to_process = [TrafficSensorStation.from_json(station_dict) for station_dict in station_dicts] manager = _init_manager() @@ -119,7 +119,7 @@ def process_station(station_dict: dict, **kwargs): computation_start_dt = datetime.now() logger.info(f"Running validation from [{min_from_date}] to [{max_to_date}]") - manager.run_computation([], min_from_date, max_to_date, ODH_COMPUTATION_BATCH_SIZE_VALIDATION) + manager.run_computation(stations_to_process, min_from_date, max_to_date, ODH_COMPUTATION_BATCH_SIZE_VALIDATION) computation_end_dt = datetime.now() logger.info(f"Completed validation in [{(computation_end_dt - computation_start_dt).seconds}]") @@ -144,9 +144,10 @@ def has_remaining_data(starting_date: datetime, ending_date: datetime) -> bool: """ return (ending_date - starting_date).total_seconds() / 3600 > DAG_VALIDATION_TRIGGER_DAG_HOURS_SPAN - dag.trigger_next_dag_run(manager, dag, has_remaining_data, **kwargs) + dag.trigger_next_dag_run(manager, dag, has_remaining_data, True, **kwargs) + tmp = get_stations_list() - processed_stations = process_station.expand(station_dict=get_stations_list()) + processed_stations = process_stations(tmp) whats_next(processed_stations) diff --git a/pollution_v2/src/dags/common.py b/pollution_v2/src/dags/common.py index d0f585c7..0a17261b 100644 --- a/pollution_v2/src/dags/common.py +++ b/pollution_v2/src/dags/common.py @@ -44,7 +44,7 @@ def init_date_range(min_from_date: Optional[datetime], max_to_date: Optional[dat return min_from_date, max_to_date @staticmethod - def get_stations_list(manager: TrafficStationManager, **kwargs): + def get_stations_list(manager: TrafficStationManager, filter_km_gt0: bool = False, **kwargs): """ Returns the complete list of stations or the filtered list based on previous DAG run @@ -60,25 +60,34 @@ def get_stations_list(manager: TrafficStationManager, **kwargs): logger.info(f"Found {len(traffic_stations)} traffic stations") - return [station for station in traffic_stations] + if filter_km_gt0: + stations_with_km = [station for station in traffic_stations if station.km > 0] + logger.info(f"Stations filtered on having km defined, resulting {len(stations_with_km)} " + f"elements (starting from {len(traffic_stations)})") + return stations_with_km + else: + return [station for station in traffic_stations] @staticmethod def trigger_next_dag_run(manager: TrafficStationManager, originator_dag: DAG, - has_remaining_data: Callable[[datetime, datetime], bool], **kwargs): + has_remaining_data: Callable[[datetime, datetime], bool], + filter_km_gt0: bool = False, **kwargs): """ Checks if there are still data to be processed before ending DAG runs :param manager: the manager to use :param originator_dag: the dag to trigger :param has_remaining_data: the function to use to check if there are still data to process + :param filter_km_gt0: filters on km > 0 stations """ + stations = [] - all_stations = TrafficStationsDAG.get_stations_list(manager) + all_stations = TrafficStationsDAG.get_stations_list(manager, filter_km_gt0) for station in all_stations: starting_date = manager.get_starting_date(manager.get_output_connector(), - station, ODH_MINIMUM_STARTING_DATE) + [station], ODH_MINIMUM_STARTING_DATE) ending_date = manager.get_starting_date(manager.get_input_connector(), - station, ODH_MINIMUM_STARTING_DATE) + [station], ODH_MINIMUM_STARTING_DATE) logger.info(f"Check if [{station.code}] has more data on dates ranging from [{starting_date}] to [{ending_date}]") if has_remaining_data(starting_date, ending_date): logger.info(f"Forwarding station {station.code} to next execution") diff --git a/pollution_v2/src/validator/model/validation_model.py b/pollution_v2/src/validator/model/validation_model.py index 7dc7b114..68ca5c90 100644 --- a/pollution_v2/src/validator/model/validation_model.py +++ b/pollution_v2/src/validator/model/validation_model.py @@ -23,7 +23,7 @@ def _get_station_on_logs(stations: List[TrafficSensorStation]): return (f"[{', '.join([station.code for station in (stations[:5] if len(stations) > 5 else stations)])}" - f"{' and more' if len(stations) > 5 else ''}]") + f"{' and more (' + str(len(stations)) + ')' if len(stations) > 5 else ''}]") class ValidationModel: From 308ba61a9966ee8239b336a392321ff3439e4e73 Mon Sep 17 00:00:00 2001 From: Nicola Date: Fri, 3 May 2024 10:04:33 +0200 Subject: [PATCH 073/154] fix exception layer2 --- pollution_v2/src/validator/Station.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/pollution_v2/src/validator/Station.py b/pollution_v2/src/validator/Station.py index 5d51d86c..7b07e175 100644 --- a/pollution_v2/src/validator/Station.py +++ b/pollution_v2/src/validator/Station.py @@ -68,15 +68,19 @@ def getStats(self, history, chilometriche, N): # Calcolo statistiche distribuzione corsie per layer 2 layer2_hist = history_data.pivot_table(index='date', columns='lane', values='total_traffic', aggfunc='mean') if layer2_hist.shape[1] == 2: - layer2_hist['ratio'] = layer2_hist[self.lane[0]] / layer2_hist[self.lane[1]] try: + layer2_hist['ratio'] = layer2_hist[self.lane[0]] / layer2_hist[self.lane[1]] self.layer2_stats = layer2_hist['ratio'].agg(['mean', 'std']).to_dict() except: + self.layer2_stats = None + self.layer2 = None + self.skip_l2_validation = True logger.error(f"unable to calculate layer2_stats as cannot aggregate layer2_hist['ratio'] " f"containing {layer2_hist[layer2_hist['ratio'].isna()].shape[0]} NaN values " f"and {layer2_hist[np.isfinite(layer2_hist).all(1)].shape[0]} infinite values") else: logger.info(f'{self.ID:<4} {self.direction:<4} no lane history --> skip layer 2 validation') + self.layer2 = None self.skip_l2_validation = True # Identifica le N stazioni a valle e le N stazioni a monte più vicine. From 768ee9b47efe941e91a58804e6e9162e70d99b57 Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Fri, 3 May 2024 14:25:19 +0200 Subject: [PATCH 074/154] #32 update parameter map --- .../src/processorParameters.csv | 72 ++++++++++++------- 1 file changed, 46 insertions(+), 26 deletions(-) diff --git a/environment-a22-non-linear-calibration/src/processorParameters.csv b/environment-a22-non-linear-calibration/src/processorParameters.csv index fcb17355..72ab65fd 100644 --- a/environment-a22-non-linear-calibration/src/processorParameters.csv +++ b/environment-a22-non-linear-calibration/src/processorParameters.csv @@ -1,30 +1,50 @@ Stazione,Inquinante,Temperatura,U.misura,Equazione,a,b,c,d,e,f,formula version #27 -AIRQ01,14,,,,8930,0.113,-63.4,0.157,0.00000501,0,2 -AIRQ02,14,,,,33100,0.376,-223,0.0214,-0.00000223,0,2 -AIRQ03,14,,,,20500,0.252,-144,0.0236,-0.00000118,0,2 -AIRQ04,14,,,,30200,0.365,-210,0.0315,0.00000411,0,2 -AIRQ05,14,,,,10600,0.132,-74.9,0.0657,-0.00000194,0,2 -AIRQ06,14,,,,11100,0.145,-80,0.023,-0.0000000671,0,2 -AIRQ07,14,,,,20800,0.301,-158,0.0301,0.00000289,0,2 -AIRQ08,14,,,,11000,0.144,-79.6,0.0145,-0.00000501,0,2 -AIRQ09,14,,,,8930,0.113,-63.4,0.157,0.00000501,0,2 -AIRQ10,14,,,,-552.365044667,-0.0262522165046182,8.04348086926538,39.9681027225305,-4.24987308791776E-06,0,1 -AIRQ11,14,,,,-1585.49902095996,-0.0991613902987229,25.9006634686006,48.3693472695521,-4.62707451955268E-07,0,1 -AIRQ12,14,,,,-2690.33212186788,-0.197312127178395,46.5746095966445,55.5402951365341,3.61858555907478E-06,0,1 -AIRQ13,14,,,,-1562.064,-0.1561117,30.04505,120.0175,-0.0003701717,0,1 -AIRQ01,14,20,,,8930,0.113,-63.4,0.157,0.00000501,0,2 -AIRQ02,14,20,,,33100,0.376,-223,0.0214,-0.00000223,0,2 -AIRQ03,14,20,,,20500,0.252,-144,0.0236,-0.00000118,0,2 -AIRQ04,14,20,,,30200,0.365,-210,0.0315,0.00000411,0,2 -AIRQ05,14,20,,,10600,0.132,-74.9,0.0657,-0.00000194,0,2 -AIRQ06,14,20,,,11100,0.145,-80,0.023,-0.0000000671,0,2 -AIRQ07,14,20,,,20800,0.301,-158,0.0301,0.00000289,0,2 -AIRQ08,14,20,,,11000,0.144,-79.6,0.0145,-0.00000501,0,2 -AIRQ09,14,20,,,8930,0.113,-63.4,0.157,0.00000501,0,2 -AIRQ10,14,20,,,-552.365044667,-0.0262522165046182,8.04348086926538,39.9681027225305,-4.24987308791776E-06,0,1 -AIRQ11,14,20,,,-1585.49902095996,-0.0991613902987229,25.9006634686006,48.3693472695521,-4.62707451955268E-07,0,1 -AIRQ12,14,20,,,-2690.33212186788,-0.197312127178395,46.5746095966445,55.5402951365341,3.61858555907478E-06,0,1 -AIRQ13,14,20,,,-1562.064,-0.1561117,30.04505,120.0175,-0.0003701717,0,1 +AIRQ01,14,,,,39415,0.4747,-273.5,0.07072,0.000003011,0,2 +AIRQ02,14,,,,4349,0.07142,-35.88,-0.0101,-0.00001142,0,2 +AIRQ03,14,,,,-2512,-0.003869,9.787,-0.007429,-0.000007084,0,2 +AIRQ04,14,,,,9600,0.1467,-75.3,0.006804,0.0000123,0,2 +AIRQ05,14,,,,4948,0.08119,-40.65,-0.004689,0.000004107,0,2 +AIRQ06,14,,,,29175,0.3606,-205.1,0.02167,0.00000624,0,2 +AIRQ07,14,,,,4842,0.07162,-37.45,0.0179,0.000002463,0,2 +AIRQ08,14,,,,9604,0.1538,-77.05,0.007015,-0.000002289,0,2 +AIRQ09,14,,,,-1691,0.002606,5.126,-0.01031,-0.000009659,0,2 +AIRQ10,14,,,,19151,0.2199,-129.8,-0.003228,-0.000001263,0,2 +AIRQ11,14,,,,1774,0.04206,-18.33,-0.004666,-0.00001564,0,2 +AIRQ12,14,,,,11438,0.1298,-77.18,-0.0002428,0.000008717,0,2 +AIRQ13,14,,,,8250,0.1163,-62.22,0.00337,0.00001052,0,2 +AIRQ14,14,,,,6597,0.1095,-54.26,0.002303,0.00001105,0,2 +AIRQ15,14,,,,2204,0.05105,-22.24,0.004314,0.000009441,0,2 +AIRQ16,14,,,,4107,0.07352,-35.32,-0.0002714,0.00001197,0,2 +AIRQ17,14,,,,11643,0.1632,-87.38,0.0048,0.00001358,0,2 +AIRQ18,14,,,,-7618,-0.07703,48.77,-0.005534,-0.000009747,0,2 +AIRQ19,14,,,,6601,0.1137,-55.15,0.001067,0.000008637,0,2 +AIRQ20,14,,,,137.7,0.01504,-4.583,0.0004265,-0.00001449,0,2 +AIRQ21,14,,,,6848,0.1078,-54.61,-0.001715,0.00001281,0,2 +AIRQ22,14,,,,5111,0.08645,-42.48,0.01585,0.000002621,0,2 +AIRQ23,14,,,,8274,0.1349,-67.12,0.009057,0.00000729,0,2 +AIRQ01,14,20,,,39415,0.4747,-273.5,0.07072,0.000003011,0,2 +AIRQ02,14,20,,,4349,0.07142,-35.88,-0.0101,-0.00001142,0,2 +AIRQ03,14,20,,,-2512,-0.003869,9.787,-0.007429,-0.000007084,0,2 +AIRQ04,14,20,,,9600,0.1467,-75.3,0.006804,0.0000123,0,2 +AIRQ05,14,20,,,4948,0.08119,-40.65,-0.004689,0.000004107,0,2 +AIRQ06,14,20,,,29175,0.3606,-205.1,0.02167,0.00000624,0,2 +AIRQ07,14,20,,,4842,0.07162,-37.45,0.0179,0.000002463,0,2 +AIRQ08,14,20,,,9604,0.1538,-77.05,0.007015,-0.000002289,0,2 +AIRQ09,14,20,,,-1691,0.002606,5.126,-0.01031,-0.000009659,0,2 +AIRQ10,14,20,,,19151,0.2199,-129.8,-0.003228,-0.000001263,0,2 +AIRQ11,14,20,,,1774,0.04206,-18.33,-0.004666,-0.00001564,0,2 +AIRQ12,14,20,,,11438,0.1298,-77.18,-0.0002428,0.000008717,0,2 +AIRQ13,14,20,,,8250,0.1163,-62.22,0.00337,0.00001052,0,2 +AIRQ14,14,20,,,6597,0.1095,-54.26,0.002303,0.00001105,0,2 +AIRQ15,14,20,,,2204,0.05105,-22.24,0.004314,0.000009441,0,2 +AIRQ16,14,20,,,4107,0.07352,-35.32,-0.0002714,0.00001197,0,2 +AIRQ17,14,20,,,11643,0.1632,-87.38,0.0048,0.00001358,0,2 +AIRQ18,14,20,,,-7618,-0.07703,48.77,-0.005534,-0.000009747,0,2 +AIRQ19,14,20,,,6601,0.1137,-55.15,0.001067,0.000008637,0,2 +AIRQ20,14,20,,,137.7,0.01504,-4.583,0.0004265,-0.00001449,0,2 +AIRQ21,14,20,,,6848,0.1078,-54.61,-0.001715,0.00001281,0,2 +AIRQ22,14,20,,,5111,0.08645,-42.48,0.01585,0.000002621,0,2 +AIRQ23,14,20,,,8274,0.1349,-67.12,0.009057,0.00000729,0,2 AIRQ01,15,,,,1045.719,-0.1012517,22.47272,-1185.372,-0.00001573268,0,1 AIRQ02,15,,,,-1279.81438001599,-0.133930795158718,30.0333857856003,-210.034641394992,-3.87262438213043E-05,0,1 AIRQ03,15,,,,735.653643832681,0.152718862473985,-25.2335973686217,202.150124988901,-1.19982849003609E-05,0,1 From 037cc8b05ec6c812add0c40e3bd4f1e9f8edff9d Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Fri, 3 May 2024 14:58:43 +0200 Subject: [PATCH 075/154] env-a22-nlc: force python 3.11 to avoid distutil errors --- .../workflows/ci-environment-a22-non-linear-calibration.yml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/.github/workflows/ci-environment-a22-non-linear-calibration.yml b/.github/workflows/ci-environment-a22-non-linear-calibration.yml index 3719848f..a7dffcd2 100644 --- a/.github/workflows/ci-environment-a22-non-linear-calibration.yml +++ b/.github/workflows/ci-environment-a22-non-linear-calibration.yml @@ -21,6 +21,9 @@ jobs: uses: actions/checkout@v2 - name: REUSE Compliance Check uses: fsfe/reuse-action@v1 + - uses: actions/setup-python@v5 + with: + python-version: '3.11' - name: Test code uses: noi-techpark/github-actions/pip-test@v2 with: From 0dd5540aa4e284cfd8e4e397923e21d0d310595d Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Fri, 3 May 2024 15:02:34 +0200 Subject: [PATCH 076/154] env-a22-nlc: force python 3.11 to avoid distutil errors --- .../workflows/ci-environment-a22-non-linear-calibration.yml | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/.github/workflows/ci-environment-a22-non-linear-calibration.yml b/.github/workflows/ci-environment-a22-non-linear-calibration.yml index a7dffcd2..2a6c6889 100644 --- a/.github/workflows/ci-environment-a22-non-linear-calibration.yml +++ b/.github/workflows/ci-environment-a22-non-linear-calibration.yml @@ -21,12 +21,10 @@ jobs: uses: actions/checkout@v2 - name: REUSE Compliance Check uses: fsfe/reuse-action@v1 - - uses: actions/setup-python@v5 - with: - python-version: '3.11' - name: Test code uses: noi-techpark/github-actions/pip-test@v2 with: + python-version: '3.11' working-directory: ${{ env.WORKING_DIRECTORY }} test-command: python -m unittest discover test -t src -p Test*.py From 38b1e908aa623b4a893ab4ec6ab3bdbf5d3bb8d0 Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Fri, 3 May 2024 15:27:32 +0200 Subject: [PATCH 077/154] env-a22-nlc: python requirements fix --- environment-a22-non-linear-calibration/requirements.txt | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/environment-a22-non-linear-calibration/requirements.txt b/environment-a22-non-linear-calibration/requirements.txt index 8a487843..f8069d92 100644 --- a/environment-a22-non-linear-calibration/requirements.txt +++ b/environment-a22-non-linear-calibration/requirements.txt @@ -1,4 +1,4 @@ -requests==2.26.0 +requests==2.31.0 python_keycloak==0.25.0 -keycloak==3.1.3 -numpy==1.24.2 +keycloak==3.1.4 +numpy==1.26.4 From bf381e91af1e8b3f760e8fa8f99a8b4f1d840a48 Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Fri, 3 May 2024 15:31:36 +0200 Subject: [PATCH 078/154] env-a22-nlc: docker compose remove obsolete version tag --- .../infrastructure/docker-compose.build.yml | 2 -- .../infrastructure/docker-compose.run.yml | 2 -- 2 files changed, 4 deletions(-) diff --git a/environment-a22-non-linear-calibration/infrastructure/docker-compose.build.yml b/environment-a22-non-linear-calibration/infrastructure/docker-compose.build.yml index 0408c137..266ebd45 100644 --- a/environment-a22-non-linear-calibration/infrastructure/docker-compose.build.yml +++ b/environment-a22-non-linear-calibration/infrastructure/docker-compose.build.yml @@ -1,5 +1,3 @@ -version: "3.4" - services: app: image: ${DOCKER_IMAGE}:${DOCKER_TAG} diff --git a/environment-a22-non-linear-calibration/infrastructure/docker-compose.run.yml b/environment-a22-non-linear-calibration/infrastructure/docker-compose.run.yml index e1c2a220..cabb6c70 100644 --- a/environment-a22-non-linear-calibration/infrastructure/docker-compose.run.yml +++ b/environment-a22-non-linear-calibration/infrastructure/docker-compose.run.yml @@ -1,5 +1,3 @@ -version: "3.4" - services: app: image: ${DOCKER_IMAGE}:${DOCKER_TAG} From b59308314eba41814bee6faa0ae1800b3e9f9d75 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Sun, 5 May 2024 21:26:29 +0200 Subject: [PATCH 079/154] pollution_v2: iterative get_starting_date to fill ASAP checkpoints when data are missing and better logs levels - issue #24 --- pollution_v2/src/common/cache/common.py | 4 +- .../src/common/manager/traffic_station.py | 134 ++++++++++++------ 2 files changed, 89 insertions(+), 49 deletions(-) diff --git a/pollution_v2/src/common/cache/common.py b/pollution_v2/src/common/cache/common.py index c381ce96..3ef2d60e 100644 --- a/pollution_v2/src/common/cache/common.py +++ b/pollution_v2/src/common/cache/common.py @@ -48,7 +48,7 @@ def __init__(self, r: redis.Redis, cache_data_type: Type[CacheDataType]) -> None self._r = r def get(self, key: str) -> Optional[CacheDataType]: - logger.info(f"Getting cached data for key [{key}]") + logger.debug(f"Getting cached data for key [{key}]") result = self._r.get(key) if result is not None: try: @@ -68,7 +68,7 @@ def set(self, data: CacheDataType, ttl: Optional[int] = None) -> None: :param data: the data to cache :param ttl: the time to live of the data entry (expressed in seconds) """ - logger.info(f"Caching data for key [{data.unique_id()}] and ttl [{ttl}].") + logger.debug(f"Caching data for key [{data.unique_id()}] and ttl [{ttl}].") if ttl: self._r.set(data.unique_id(), json.dumps(data.to_repr()), ex=ttl) else: diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 860c058b..ddfc95d2 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -7,7 +7,7 @@ import logging from abc import ABC, abstractmethod from datetime import datetime, timedelta -from typing import List, Optional +from typing import List, Optional, Tuple from common.cache.computation_checkpoint import ComputationCheckpointCache, ComputationCheckpoint from common.connector.collector import ConnectorCollector @@ -88,72 +88,111 @@ def _get_latest_date(self, connector: ODHBaseConnector, stations: List[TrafficSe latest_date_across_stations = latest_date return latest_date_across_stations - def get_starting_date(self, connector: ODHBaseConnector, stations: List[TrafficSensorStation], - min_from_date: datetime) -> datetime: + def get_starting_date(self, output_connector: ODHBaseConnector, input_connector: ODHBaseConnector, + stations: List[TrafficSensorStation], min_from_date: datetime, + batch_size: int) -> datetime: """ Returns the starting date for further processing, even managing some fallback values if necessary. - :param connector: The connector used to retrieve data. + :param output_connector: The connector used to retrieve latest previously processed data. + :param input_connector: The connector used to retrieve the next data ready to be processed. :param stations: The list of traffic stations to query. :param min_from_date: The minimum date to start from. + :param batch_size: The size of the batch (in days) to be extracted. :return: Computation starting date. """ - logger.info(f"Looking for latest measures available on [{type(connector).__name__}] " + logger.info(f"Looking for latest measures available on [{type(output_connector).__name__}] " f"for {_get_stations_on_logs(stations)} ") from_date_across_stations = None for station in stations: - latest_measure = self.__get_latest_measure(connector, station) - if latest_measure is None: - logger.info(f"No measures available on [{type(connector).__name__}] for [{station.code}]") - if self._checkpoint_cache is not None: - logger.info( - f"Looking on checkpoints on [{type(connector).__name__}] for [{station.code}]") - checkpoint = self._checkpoint_cache.get( - ComputationCheckpoint.get_id_for_station(station, self._get_manager_code())) - if checkpoint is not None: - logger.info(f"Using checkpoint date [{checkpoint.checkpoint_dt}] as starting date " - f"for [{station.code}]") - from_date = checkpoint.checkpoint_dt - else: - # If there isn't any latest measure available, - # the min_from_date is used as starting date for the batch - logger.info(f"No checkpoint, using min date [{min_from_date}] " - f"as starting date for [{station.code}]") - from_date = min_from_date + from_date = self._iterate_while_data_found(output_connector, input_connector, + station, min_from_date, batch_size) + + if from_date_across_stations is None or from_date < from_date_across_stations: + from_date_across_stations = from_date + + return from_date_across_stations + + def _iterate_while_data_found(self, output_connector: ODHBaseConnector, input_connector: ODHBaseConnector, + station: TrafficSensorStation, min_from_date: datetime, + batch_size: int) -> datetime: + from_date, keep_going = min_from_date, True + while keep_going and from_date < datetime.now(from_date.tzinfo): + from_date, keep_going = self._get_starting_date_inner(output_connector, input_connector, station, + from_date, batch_size) + return from_date + + def _get_starting_date_inner(self, output_connector: ODHBaseConnector, input_connector: ODHBaseConnector, + station: TrafficSensorStation, min_from_date: datetime, + batch_size: int) -> Tuple[datetime, bool]: + + latest_measure = self.__get_latest_measure(output_connector, station) + + if latest_measure is None: + logger.info(f"No measures available on [{type(output_connector).__name__}] for [{station.code}]") + if self._checkpoint_cache is not None: + checkpoint = self._checkpoint_cache.get( + ComputationCheckpoint.get_id_for_station(station, self._get_manager_code())) + if checkpoint is not None: + logger.info(f"Found checkpoint date [{checkpoint.checkpoint_dt}] " + f"on [{type(output_connector).__name__}], " + f"candidate as starting date for [{station.code}]") + from_date = checkpoint.checkpoint_dt else: # If there isn't any latest measure available, # the min_from_date is used as starting date for the batch - logger.info(f"No measures, using min date [{min_from_date}] " - f"as starting date for [{station.code}]") + logger.info(f"No checkpoint on [{type(output_connector).__name__}], " + f"candidate as starting date for [{station.code}] is min date [{min_from_date}]") from_date = min_from_date + # if between from_date and from_date + batch_size there are no input data + to_date_tmp = from_date + timedelta(days=batch_size) + input_data = (input_connector. + get_measures(from_date=from_date, to_date=to_date_tmp, station=station)) + logger.info(f"Looking on measures available on [{type(input_connector).__name__}] " + f"for [{station.code}]: found {len(input_data)}") + if len(input_data) == 0: + if checkpoint is None or checkpoint.checkpoint_dt is None or checkpoint.checkpoint_dt < to_date_tmp: + # it is pointless trying to run model, save the from_date + batch_size as checkpoint for station + self._checkpoint_cache.set( + ComputationCheckpoint( + station_code=station.code, + checkpoint_dt=to_date_tmp, + manager_code=self._get_manager_code() + ) + ) + # look again for more data with starting from updated checkpoint + logger.info(f"Looking for more...") + return from_date, True + else: + logger.info(f"Using latest measure date [{from_date.isoformat()}] as starting date for [{station.code}]") + return from_date, False else: - logger.info(f"Measures found, using min date [{latest_measure.valid_time}] " - f"as starting date for [{station.code}]") - from_date = latest_measure.valid_time - - if from_date.tzinfo is None: - from_date = DEFAULT_TIMEZONE.localize(from_date) + # If there isn't any latest measure available, + # the min_from_date is used as starting date for the batch + logger.info(f"No measures, using min date [{min_from_date}] as starting date for [{station.code}]") + from_date = min_from_date + else: + logger.debug(f"Measures found, using min date [{latest_measure.valid_time}] as starting date for [{station.code}]") + from_date = latest_measure.valid_time - if min_from_date.tzinfo is None: - min_from_date = DEFAULT_TIMEZONE.localize(min_from_date) + if from_date.tzinfo is None: + from_date = DEFAULT_TIMEZONE.localize(from_date) - if from_date.microsecond: - from_date = from_date.replace(microsecond=0) + if min_from_date.tzinfo is None: + min_from_date = DEFAULT_TIMEZONE.localize(min_from_date) - if from_date < min_from_date: - logger.warning(f"Latest measure date is [{from_date.isoformat()}] as candidate starting date, " - f"but it's before the minimum starting date [{min_from_date.isoformat()}]; " - f"using [{min_from_date.isoformat()}]") - from_date = min_from_date - elif from_date > min_from_date: - logger.info(f"Using latest measure date [{from_date.isoformat()}] as starting date, " - f"which is after the minimum starting date [{min_from_date.isoformat()}]") + if from_date.microsecond: + from_date = from_date.replace(microsecond=0) - if from_date_across_stations is None or from_date < from_date_across_stations: - from_date_across_stations = from_date + if from_date < min_from_date: + logger.warning(f"Latest measure date is [{from_date.isoformat()}] but it's before the min starting date; " + f"using [{min_from_date.isoformat()}]") + from_date = min_from_date + elif from_date > min_from_date: + logger.info(f"Using latest measure date [{from_date.isoformat()}] as starting date for [{station.code}]") - return from_date_across_stations + return from_date, False def __get_latest_measure(self, connector: ODHBaseConnector, station: Optional[TrafficSensorStation]) -> Optional[Measure]: @@ -248,7 +287,8 @@ def run_computation(self, logger.info(f"Determining computation interval for {_get_stations_on_logs(stations)} " f"between [{min_from_date}] and [{max_to_date}]") - start_date = self.get_starting_date(self.get_output_connector(), stations, min_from_date) + start_date = self.get_starting_date(self.get_output_connector(), self.get_input_connector(), + stations, min_from_date, batch_size) # Detect inactive stations: # If we're about to request more than one window of measurements, do a check first if there even is any new data From 7ed656a622696cf8a6430930585945a2a34083c9 Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Mon, 6 May 2024 08:14:33 +0200 Subject: [PATCH 080/154] env-a22-nlc: #32 ignore stations/types where not calculation parameters are present --- .../src/dataprocessor/DataProcessor.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/environment-a22-non-linear-calibration/src/dataprocessor/DataProcessor.py b/environment-a22-non-linear-calibration/src/dataprocessor/DataProcessor.py index adb26e0c..66248676 100644 --- a/environment-a22-non-linear-calibration/src/dataprocessor/DataProcessor.py +++ b/environment-a22-non-linear-calibration/src/dataprocessor/DataProcessor.py @@ -66,8 +66,12 @@ def process_single_dataset(self, data, station_id, time): temparature_key = "hightemp" if (data[T_INT] >= 20) else "lowtemp" data_point_map = {} for type_id in (value for value in data if value in TYPES_TO_ELABORATE): #Intersection + # ignore stations/types missing parameters #32 + if PARAMETER_MAP[station_id] is None or PARAMETER_MAP[station_id][type_id] is None: + continue + value = data[type_id] - processed_value = None + processed_value = None parameters = PARAMETER_MAP[station_id][type_id][temparature_key] if ((type_id == NO2 or type_id == NO) and O3 in data and T_INT in data): if(int(parameters["calc_version"]) == 1): From 177f8004777e245358e2c4549ceebebaff8fa411 Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Mon, 6 May 2024 08:19:33 +0200 Subject: [PATCH 081/154] env-a22-nlc: #32 ignore stations/types where not calculation parameters are present --- .../src/dataprocessor/DataProcessor.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/environment-a22-non-linear-calibration/src/dataprocessor/DataProcessor.py b/environment-a22-non-linear-calibration/src/dataprocessor/DataProcessor.py index 66248676..66257707 100644 --- a/environment-a22-non-linear-calibration/src/dataprocessor/DataProcessor.py +++ b/environment-a22-non-linear-calibration/src/dataprocessor/DataProcessor.py @@ -67,7 +67,7 @@ def process_single_dataset(self, data, station_id, time): data_point_map = {} for type_id in (value for value in data if value in TYPES_TO_ELABORATE): #Intersection # ignore stations/types missing parameters #32 - if PARAMETER_MAP[station_id] is None or PARAMETER_MAP[station_id][type_id] is None: + if PARAMETER_MAP.get(station_id) is None or PARAMETER_MAP[station_id].get(type_id) is None: continue value = data[type_id] From eec12a3c3ace16325cdef4324d2709337bd20e11 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Tue, 7 May 2024 10:16:57 +0200 Subject: [PATCH 082/154] pollution_v2: checkpoint override only for more recent dates, fix on whats_next task, various fixes - issue #24 --- .../src/common/manager/traffic_station.py | 28 +++++++++++-------- .../src/dags/aiaas_pollution_computer.py | 3 +- pollution_v2/src/dags/aiaas_validator.py | 3 +- pollution_v2/src/dags/common.py | 12 ++++---- 4 files changed, 27 insertions(+), 19 deletions(-) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index ddfc95d2..d6bbfbde 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -88,7 +88,7 @@ def _get_latest_date(self, connector: ODHBaseConnector, stations: List[TrafficSe latest_date_across_stations = latest_date return latest_date_across_stations - def get_starting_date(self, output_connector: ODHBaseConnector, input_connector: ODHBaseConnector, + def get_starting_date(self, output_connector: ODHBaseConnector, input_connector: ODHBaseConnector | None, stations: List[TrafficSensorStation], min_from_date: datetime, batch_size: int) -> datetime: """ @@ -147,10 +147,13 @@ def _get_starting_date_inner(self, output_connector: ODHBaseConnector, input_con from_date = min_from_date # if between from_date and from_date + batch_size there are no input data to_date_tmp = from_date + timedelta(days=batch_size) - input_data = (input_connector. - get_measures(from_date=from_date, to_date=to_date_tmp, station=station)) - logger.info(f"Looking on measures available on [{type(input_connector).__name__}] " - f"for [{station.code}]: found {len(input_data)}") + if input_connector is not None: + input_data = (input_connector. + get_measures(from_date=from_date, to_date=to_date_tmp, station=station)) + logger.info(f"Looking on measures available on [{type(input_connector).__name__}] " + f"for [{station.code}]: found {len(input_data)}") + else: + input_data = [] if len(input_data) == 0: if checkpoint is None or checkpoint.checkpoint_dt is None or checkpoint.checkpoint_dt < to_date_tmp: # it is pointless trying to run model, save the from_date + batch_size as checkpoint for station @@ -324,13 +327,16 @@ def run_computation(self, if self._checkpoint_cache is not None: for station in stations: - self._checkpoint_cache.set( - ComputationCheckpoint( - station_code=station.code, - checkpoint_dt=to_date, - manager_code=self._get_manager_code() + checkpoint = self._checkpoint_cache.get( + ComputationCheckpoint.get_id_for_station(station, self._get_manager_code())) + if checkpoint is None or checkpoint.checkpoint_dt < to_date: + self._checkpoint_cache.set( + ComputationCheckpoint( + station_code=station.code, + checkpoint_dt=to_date, + manager_code=self._get_manager_code() + ) ) - ) else: logger.info(f"Nothing to process for stations {_get_stations_on_logs(stations)} in interval " f"[{start_date} - {to_date}]") diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index 7a6de485..5f972ecd 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -146,7 +146,8 @@ def has_remaining_data(starting_date: datetime, ending_date: datetime) -> bool: """ return (ending_date - starting_date).total_seconds() / 3600 > DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN - dag.trigger_next_dag_run(manager, dag, has_remaining_data, **kwargs) + dag.trigger_next_dag_run(manager, dag, has_remaining_data, + ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION, **kwargs) processed_stations = process_station.expand(station_dict=get_stations_list()) diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py index 7694e45c..8731d2c3 100644 --- a/pollution_v2/src/dags/aiaas_validator.py +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -144,7 +144,8 @@ def has_remaining_data(starting_date: datetime, ending_date: datetime) -> bool: """ return (ending_date - starting_date).total_seconds() / 3600 > DAG_VALIDATION_TRIGGER_DAG_HOURS_SPAN - dag.trigger_next_dag_run(manager, dag, has_remaining_data, True, **kwargs) + dag.trigger_next_dag_run(manager, dag, has_remaining_data, + ODH_COMPUTATION_BATCH_SIZE_VALIDATION,True, **kwargs) tmp = get_stations_list() diff --git a/pollution_v2/src/dags/common.py b/pollution_v2/src/dags/common.py index 0a17261b..1225f165 100644 --- a/pollution_v2/src/dags/common.py +++ b/pollution_v2/src/dags/common.py @@ -71,29 +71,29 @@ def get_stations_list(manager: TrafficStationManager, filter_km_gt0: bool = Fals @staticmethod def trigger_next_dag_run(manager: TrafficStationManager, originator_dag: DAG, has_remaining_data: Callable[[datetime, datetime], bool], - filter_km_gt0: bool = False, **kwargs): + batch_size: int, filter_km_gt0: bool = False, **kwargs): """ Checks if there are still data to be processed before ending DAG runs :param manager: the manager to use :param originator_dag: the dag to trigger :param has_remaining_data: the function to use to check if there are still data to process + :param batch_size: batch_size to consider :param filter_km_gt0: filters on km > 0 stations """ stations = [] all_stations = TrafficStationsDAG.get_stations_list(manager, filter_km_gt0) for station in all_stations: - starting_date = manager.get_starting_date(manager.get_output_connector(), - [station], ODH_MINIMUM_STARTING_DATE) - ending_date = manager.get_starting_date(manager.get_input_connector(), - [station], ODH_MINIMUM_STARTING_DATE) + starting_date = manager.get_starting_date(manager.get_output_connector(), manager.get_input_connector(), + [station], ODH_MINIMUM_STARTING_DATE, batch_size) + ending_date = manager.get_starting_date(manager.get_input_connector(), None, + [station], ODH_MINIMUM_STARTING_DATE, batch_size) logger.info(f"Check if [{station.code}] has more data on dates ranging from [{starting_date}] to [{ending_date}]") if has_remaining_data(starting_date, ending_date): logger.info(f"Forwarding station {station.code} to next execution") stations.append(station.code) - # True if on ODH there are lots of data to be processed (e.g. new station with old unprocessed data) run_again = len(stations) > 0 From 5d9d20eff23a88ba15000d9ac19cc2844c764790 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Tue, 7 May 2024 15:52:14 +0200 Subject: [PATCH 083/154] pollution_v2: restoring tests -wip - issue #24 --- .../manager/pollution_computation.py | 11 +++-- pollution_v2/src/tests/test_common.py | 41 +++++++++++------ .../src/tests/test_pollution_computation.py | 34 +++++++------- .../src/tests/test_pollution_connector_dag.py | 4 +- .../tests/test_pollution_connector_tasks.py | 28 ++++++----- pollution_v2/src/tests/test_validation.py | 46 +++++++++---------- pollution_v2/src/tests/test_validator_dag.py | 4 +- .../src/tests/test_validator_tasks.py | 16 +++---- 8 files changed, 102 insertions(+), 82 deletions(-) diff --git a/pollution_v2/src/pollution_connector/manager/pollution_computation.py b/pollution_v2/src/pollution_connector/manager/pollution_computation.py index bdcbd161..48325b3a 100644 --- a/pollution_v2/src/pollution_connector/manager/pollution_computation.py +++ b/pollution_v2/src/pollution_connector/manager/pollution_computation.py @@ -16,7 +16,6 @@ from common.manager.traffic_station import TrafficStationManager from common.data_model.common import DataType, MeasureCollection from common.data_model.pollution import PollutionMeasure, PollutionMeasureCollection, PollutionEntry -from common.settings import DEFAULT_TIMEZONE from pollution_connector.model.pollution_computation_model import PollutionComputationModel logger = logging.getLogger("pollution_v2.pollution_connector.manager.pollution_computation") @@ -55,13 +54,19 @@ def _download_validation_data(self, station=traffic_station)) def _download_data_and_compute(self, start_date: datetime, to_date: datetime, - traffic_station: TrafficSensorStation) -> List[GenericEntry]: + stations: List[TrafficSensorStation]) -> List[GenericEntry]: + + if len(stations) != 1: + logger.error(f"Cannot compute pollution on more than one station ({len(stations)} passed)") + return [] + + traffic_station = stations[0] validation_data = [] traffic_data = [] try: validation_data = self._download_validation_data(start_date, to_date, traffic_station) - traffic_data = self._download_traffic_data(start_date, to_date, traffic_station) + traffic_data = self._download_traffic_data(start_date, to_date, [traffic_station]) except Exception as e: logger.exception( f"Unable to download validation and traffic data for station [{traffic_station.code}] " diff --git a/pollution_v2/src/tests/test_common.py b/pollution_v2/src/tests/test_common.py index aa025745..ccfd7190 100644 --- a/pollution_v2/src/tests/test_common.py +++ b/pollution_v2/src/tests/test_common.py @@ -2,7 +2,7 @@ # # SPDX-License-Identifier: AGPL-3.0-or-later from datetime import datetime -from typing import Callable, Any +from typing import Callable, List from unittest import TestCase from unittest.mock import patch @@ -25,13 +25,19 @@ def setUp(self): # Task IDs self.get_stations_list_task_id = "get_stations_list" - self.process_station_task_id = "process_station" + self.process_station_task_id_pollution = "process_station" + self.process_stations_task_id_validation = "process_stations" self.whats_next_task_id = "whats_next" # For each task, the list of its downstream tasks - self.task_dependencies = { - self.get_stations_list_task_id: [self.process_station_task_id], - self.process_station_task_id: [self.whats_next_task_id], + self.task_dependencies_pollution = { + self.get_stations_list_task_id: [self.process_station_task_id_pollution], + self.process_station_task_id_pollution: [self.whats_next_task_id], + self.whats_next_task_id: [] + } + self.task_dependencies_validation = { + self.get_stations_list_task_id: [self.process_stations_task_id_validation], + self.process_stations_task_id_validation: [self.whats_next_task_id], self.whats_next_task_id: [] } @@ -56,7 +62,8 @@ def setUp(self): self.station4_dict["code"] = "4" def __mock_whats_next(self, all_stations: list[dict], allowed_stations: list[dict], dag_id: str, - get_starting_date_mock_func: Callable[[ODHBaseConnector, TrafficSensorStation, datetime], datetime]): + get_starting_date_mock_func: Callable[[ODHBaseConnector, ODHBaseConnector, + TrafficSensorStation, datetime, int], datetime]): with patch("dags.common.TrafficStationsDAG.get_stations_list") as get_stations_list_mock: with patch("common.manager.traffic_station.TrafficStationManager.get_starting_date") as get_starting_date_mock: @@ -80,9 +87,10 @@ def mock_validator_whats_next_run_allow_limited_stations(self, all_stations: lis included_starting_date = ending_date.subtract(hours=span_hours + 2) excluded_starting_date = ending_date.subtract(hours=span_hours - 2) - def get_starting_date_mock_func(connector: ODHBaseConnector, traffic_station: TrafficSensorStation, - min_from_date: datetime) -> datetime: - if isinstance(connector, TrafficODHConnector): + def get_starting_date_mock_func(output_connector: ODHBaseConnector, input_connector: ODHBaseConnector, + traffic_station: TrafficSensorStation, min_from_date: datetime, + batch_size: int) -> datetime: + if isinstance(output_connector, TrafficODHConnector): return ending_date else: if traffic_station.code in [station["code"] for station in allowed_stations]: @@ -98,13 +106,16 @@ def mock_pollution_computer_whats_next_run_allow_limited_stations(self, all_stat included_starting_date = ending_date.subtract(hours=span_hours + 2) excluded_starting_date = ending_date.subtract(hours=span_hours - 2) - def get_starting_date_mock_func(connector: ODHBaseConnector, traffic_station: TrafficSensorStation, - min_from_date: datetime) -> datetime: - if isinstance(connector, ValidationODHConnector): + def get_starting_date_mock_func(output_connector: ODHBaseConnector, input_connector: ODHBaseConnector, + stations: List[TrafficSensorStation], min_from_date: datetime, + batch_size: int) -> datetime: + if isinstance(output_connector, ValidationODHConnector): return ending_date else: - if traffic_station.code in [station["code"] for station in allowed_stations]: - return included_starting_date - return excluded_starting_date + allowed_station_codes = [station["code"] for station in allowed_stations] + starting_dates = [included_starting_date + if station.code in allowed_station_codes else excluded_starting_date + for station in stations] + return min(starting_dates) self.__mock_whats_next(all_stations, allowed_stations, self.pollution_computer_dag_id, get_starting_date_mock_func) diff --git a/pollution_v2/src/tests/test_pollution_computation.py b/pollution_v2/src/tests/test_pollution_computation.py index f54b9e7e..62731bb9 100644 --- a/pollution_v2/src/tests/test_pollution_computation.py +++ b/pollution_v2/src/tests/test_pollution_computation.py @@ -33,7 +33,7 @@ def setUp(self): def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, get_start_date_mock, compute_mock, upload_mock, init_date_range_mock): """ - Test that the run_computation_for_station method is called with the correct date range. + Test that the run_computation method is called with the correct date range. """ batch_size = "30" with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION=batch_size))): @@ -44,7 +44,7 @@ def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, # Get the process_station task dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) - task = dag.get_task(self.process_station_task_id) + task = dag.get_task(self.process_station_task_id_pollution) task_function = task.python_callable init_date_range_mock.return_value = (self.min_date, self.max_date) @@ -56,12 +56,12 @@ def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, station = TrafficSensorStation.from_json(self.station_dict) - get_start_date_mock.assert_called_once_with(ANY, station, self.min_date) + get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size)) latest_date_mock.assert_not_called() - # Test that the run_computation_for_station method is called with the correct daily date range + # Test that the run_computation method is called with the correct daily date range - download_mock.assert_called_once_with(start_date, self.max_date, station) + download_mock.assert_called_once_with(start_date, self.max_date, [station]) compute_mock.assert_called_once() upload_mock.assert_called_once() @@ -74,7 +74,7 @@ def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, def test_run_computation_date_range_when_more_data(self, download_mock, latest_date_mock, get_start_date_mock, compute_mock, upload_mock, init_date_range_mock): """ - Test that the run_computation_for_station method is called with the correct date range. + Test that the run_computation method is called with the correct date range. """ batch_size = "30" with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION=batch_size))): @@ -85,7 +85,7 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d # Get the process_station task dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) - task = dag.get_task(self.process_station_task_id) + task = dag.get_task(self.process_station_task_id_pollution) task_function = task.python_callable init_date_range_mock.return_value = (self.min_date, self.max_date) @@ -103,15 +103,15 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d station = TrafficSensorStation.from_json(self.station_dict) - get_start_date_mock.assert_called_once_with(ANY, station, self.min_date) + get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size)) if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION: - latest_date_mock.assert_called_once_with(ANY, station) + latest_date_mock.assert_called_once_with(ANY, [station]) else: latest_date_mock.assert_not_called() - # Test that the run_computation_for_station method is called with the correct batch date range + # Test that the run_computation method is called with the correct batch date range # A lot of data is available, so the end date is the start date plus the batch size - download_mock.assert_called_once_with(start_date, correct_end_date, station) + download_mock.assert_called_once_with(start_date, correct_end_date, [station]) compute_mock.assert_called_once() upload_mock.assert_called_once() @@ -124,7 +124,7 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d def test_run_computation_date_range_when_few_data(self, download_mock, latest_date_mock, get_start_date_mock, compute_mock, upload_mock, init_date_range_mock): """ - Test that the run_computation_for_station method is called with the correct date range. + Test that the run_computation method is called with the correct date range. """ batch_size = "30" with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION=batch_size))): @@ -135,7 +135,7 @@ def test_run_computation_date_range_when_few_data(self, download_mock, latest_da # Get the process_station task dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) - task = dag.get_task(self.process_station_task_id) + task = dag.get_task(self.process_station_task_id_pollution) task_function = task.python_callable init_date_range_mock.return_value = (self.min_date, self.max_date) @@ -149,14 +149,14 @@ def test_run_computation_date_range_when_few_data(self, download_mock, latest_da task_function(self.station_dict) station = TrafficSensorStation.from_json(self.station_dict) - get_start_date_mock.assert_called_once_with(ANY, station, self.min_date) + get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size)) if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION: - latest_date_mock.assert_called_once_with(ANY, station) + latest_date_mock.assert_called_once_with(ANY, [station]) else: latest_date_mock.assert_not_called() - # Test that the run_computation_for_station method is called with the correct batch date range + # Test that the run_computation method is called with the correct batch date range # Few data is available, so the end date is the max date - download_mock.assert_called_once_with(start_date, self.max_date, station) + download_mock.assert_called_once_with(start_date, self.max_date, [station]) compute_mock.assert_called_once() upload_mock.assert_called_once() diff --git a/pollution_v2/src/tests/test_pollution_connector_dag.py b/pollution_v2/src/tests/test_pollution_connector_dag.py index 6a01d9d9..0cea8d5a 100644 --- a/pollution_v2/src/tests/test_pollution_connector_dag.py +++ b/pollution_v2/src/tests/test_pollution_connector_dag.py @@ -27,7 +27,7 @@ def test_pollution_computer_dag_import(self): assert self.dagbag.import_errors == {} assert dag is not None - dag_tasks = [self.get_stations_list_task_id, self.process_station_task_id, self.whats_next_task_id] + dag_tasks = [self.get_stations_list_task_id, self.process_station_task_id_pollution, self.whats_next_task_id] assert len(dag.tasks) == len(dag_tasks) for task in dag_tasks: assert dag.has_task(task) @@ -38,7 +38,7 @@ def test_dag_task_dependencies(self): The task_dependencies dictionary contains the list of downstream tasks for each task. """ dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) - for task_id, downstream_list in self.task_dependencies.items(): + for task_id, downstream_list in self.task_dependencies_pollution.items(): assert dag.has_task(task_id) task = dag.get_task(task_id) assert task.downstream_task_ids == set(downstream_list) diff --git a/pollution_v2/src/tests/test_pollution_connector_tasks.py b/pollution_v2/src/tests/test_pollution_connector_tasks.py index 73406757..d0990545 100644 --- a/pollution_v2/src/tests/test_pollution_connector_tasks.py +++ b/pollution_v2/src/tests/test_pollution_connector_tasks.py @@ -75,34 +75,38 @@ def test_get_traffic_station_retrieves_passed_stations(self, get_traffic_station # Test that the return value contains only the passed station self.assertEqual(return_value, [self.station_dict]) - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.run_computation_for_station") - def test_run_computation_for_station_is_called(self, run_computation_for_station_mock): + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.run_computation") + def test_run_computation_is_called(self, run_computation_mock): """ - Test that the run_computation_for_station method is called when the process_station task is run. + Test that the run_computation method is called when the process_station task is run. """ # Run the process_station task dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) - task = dag.get_task(self.process_station_task_id) + task = dag.get_task(self.process_station_task_id_pollution) task_function = task.python_callable task_function(self.station_dict) - run_computation_for_station_mock.assert_called_once() + run_computation_mock.assert_called_once() - @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.run_computation_for_station") - def test_run_computation_for_station_gets_correct_input(self, run_computation_for_station_mock): + @patch("pollution_connector.manager.pollution_computation.PollutionComputationManager.run_computation") + def test_run_computation_gets_correct_input(self, run_computation_mock): """ - Test that the run_computation_for_station method is called when the process_station task is run. + Test that the run_computation method is called when the process_station task is run. """ + + batch_size = 30 + # Run the process_station task dag = self.dagbag.get_dag(dag_id=self.pollution_computer_dag_id) - task = dag.get_task(self.process_station_task_id) + task = dag.get_task(self.process_station_task_id_pollution) task_function = task.python_callable task_function(self.station_dict) - run_computation_for_station_mock.assert_called_once_with( - TrafficSensorStation.from_json(self.station_dict), + run_computation_mock.assert_called_once_with( + [TrafficSensorStation.from_json(self.station_dict)], ANY, # This corresponds to the min_from_date parameter - ANY # This corresponds to the max_to_date parameter + ANY, # This corresponds to the max_to_date parameter + batch_size ) @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.execute") diff --git a/pollution_v2/src/tests/test_validation.py b/pollution_v2/src/tests/test_validation.py index a1c8dd0a..268182db 100644 --- a/pollution_v2/src/tests/test_validation.py +++ b/pollution_v2/src/tests/test_validation.py @@ -33,9 +33,9 @@ def setUp(self): def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, get_start_date_mock, compute_mock, upload_mock, init_date_range_mock): """ - Test that the run_computation_for_station method is called with the correct date range. + Test that the run_computation method is called with the correct date range. """ - batch_size = "30" + batch_size = "1" with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_VALIDATION=batch_size))): # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_VALIDATION variable from common import settings @@ -44,7 +44,7 @@ def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, # Get the process_station task dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) - task = dag.get_task(self.process_station_task_id) + task = dag.get_task(self.process_stations_task_id_validation) task_function = task.python_callable init_date_range_mock.return_value = (self.min_date, self.max_date) @@ -52,16 +52,16 @@ def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, get_start_date_mock.return_value = start_date # Start task to run computation - task_function(self.station_dict) + task_function([self.station_dict]) station = TrafficSensorStation.from_json(self.station_dict) - get_start_date_mock.assert_called_once_with(ANY, station, self.min_date) + get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size)) latest_date_mock.assert_not_called() - # Test that the run_computation_for_station method is called with the correct daily date range + # Test that the run_computation method is called with the correct daily date range - download_mock.assert_called_once_with(start_date, self.max_date, station) + download_mock.assert_called_once_with(start_date, self.max_date, [station]) compute_mock.assert_called_once() upload_mock.assert_called_once() @@ -74,9 +74,9 @@ def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, def test_run_computation_date_range_when_more_data(self, download_mock, latest_date_mock, get_start_date_mock, compute_mock, upload_mock, init_date_range_mock): """ - Test that the run_computation_for_station method is called with the correct date range. + Test that the run_computation method is called with the correct date range. """ - batch_size = "30" + batch_size = "1" with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_VALIDATION=batch_size))): # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_VALIDATION variable from common import settings @@ -85,7 +85,7 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d # Get the process_station task dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) - task = dag.get_task(self.process_station_task_id) + task = dag.get_task(self.process_stations_task_id_validation) task_function = task.python_callable init_date_range_mock.return_value = (self.min_date, self.max_date) @@ -99,19 +99,19 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d correct_end_date = start_date + timedelta(days=ODH_COMPUTATION_BATCH_SIZE_VALIDATION) # Start task to run computation - task_function(self.station_dict) + task_function([self.station_dict]) station = TrafficSensorStation.from_json(self.station_dict) - get_start_date_mock.assert_called_once_with(ANY, station, self.min_date) + get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size)) if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE_VALIDATION: - latest_date_mock.assert_called_once_with(ANY, station) + latest_date_mock.assert_called_once_with(ANY, [station]) else: latest_date_mock.assert_not_called() - # Test that the run_computation_for_station method is called with the correct batch date range + # Test that the run_computation method is called with the correct batch date range # A lot of data is available, so the end date is the start date plus the batch size - download_mock.assert_called_once_with(start_date, correct_end_date, station) + download_mock.assert_called_once_with(start_date, correct_end_date, [station]) compute_mock.assert_called_once() upload_mock.assert_called_once() @@ -124,9 +124,9 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d def test_run_computation_date_range_when_few_data(self, download_mock, latest_date_mock, get_start_date_mock, compute_mock, upload_mock, init_date_range_mock): """ - Test that the run_computation_for_station method is called with the correct date range. + Test that the run_computation method is called with the correct date range. """ - batch_size = "30" + batch_size = "1" with ((mock.patch.dict("os.environ", AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_VALIDATION=batch_size))): # Reloading settings in order to update the AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_VALIDATION variable from common import settings @@ -135,7 +135,7 @@ def test_run_computation_date_range_when_few_data(self, download_mock, latest_da # Get the process_station task dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) - task = dag.get_task(self.process_station_task_id) + task = dag.get_task(self.process_stations_task_id_validation) task_function = task.python_callable init_date_range_mock.return_value = (self.min_date, self.max_date) @@ -146,17 +146,17 @@ def test_run_computation_date_range_when_few_data(self, download_mock, latest_da get_start_date_mock.return_value = start_date # Start task to run computation - task_function(self.station_dict) + task_function([self.station_dict]) station = TrafficSensorStation.from_json(self.station_dict) - get_start_date_mock.assert_called_once_with(ANY, station, self.min_date) + get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size)) if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE_VALIDATION: - latest_date_mock.assert_called_once_with(ANY, station) + latest_date_mock.assert_called_once_with(ANY, [station]) else: latest_date_mock.assert_not_called() - # Test that the run_computation_for_station method is called with the correct batch date range + # Test that the run_computation method is called with the correct batch date range # Few data is available, so the end date is the max date - download_mock.assert_called_once_with(start_date, self.max_date, station) + download_mock.assert_called_once_with(start_date, self.max_date, [station]) compute_mock.assert_called_once() upload_mock.assert_called_once() diff --git a/pollution_v2/src/tests/test_validator_dag.py b/pollution_v2/src/tests/test_validator_dag.py index df848fd7..f687c50b 100644 --- a/pollution_v2/src/tests/test_validator_dag.py +++ b/pollution_v2/src/tests/test_validator_dag.py @@ -26,7 +26,7 @@ def test_pollution_computer_dag_import(self): assert self.dagbag.import_errors == {} assert dag is not None - dag_tasks = [self.get_stations_list_task_id, self.process_station_task_id, self.whats_next_task_id] + dag_tasks = [self.get_stations_list_task_id, self.process_stations_task_id_validation, self.whats_next_task_id] assert len(dag.tasks) == len(dag_tasks) for task in dag_tasks: assert dag.has_task(task) @@ -37,7 +37,7 @@ def test_dag_task_dependencies(self): The task_dependencies dictionary contains the list of downstream tasks for each task. """ dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) - for task_id, downstream_list in self.task_dependencies.items(): + for task_id, downstream_list in self.task_dependencies_validation.items(): assert dag.has_task(task_id) task = dag.get_task(task_id) assert task.downstream_task_ids == set(downstream_list) diff --git a/pollution_v2/src/tests/test_validator_tasks.py b/pollution_v2/src/tests/test_validator_tasks.py index 954cde78..fecdcc9b 100644 --- a/pollution_v2/src/tests/test_validator_tasks.py +++ b/pollution_v2/src/tests/test_validator_tasks.py @@ -75,10 +75,10 @@ def test_get_traffic_station_retrieves_passed_stations(self, get_traffic_station # Test that the return value contains only the passed station self.assertEqual(return_value, [self.station_dict]) - @patch("validator.manager.validation.ValidationManager.run_computation_for_station") - def test_run_computation_for_station_is_called(self, run_computation_for_station_mock): + @patch("validator.manager.validation.ValidationManager.run_computation") + def test_run_computation_is_called(self, run_computation_mock): """ - Test that the run_computation_for_station method is called when the process_station task is run. + Test that the run_computation method is called when the process_station task is run. """ # Run the process_station task dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) @@ -86,12 +86,12 @@ def test_run_computation_for_station_is_called(self, run_computation_for_station task_function = task.python_callable task_function(self.station_dict) - run_computation_for_station_mock.assert_called_once() + run_computation_mock.assert_called_once() - @patch("validator.manager.validation.ValidationManager.run_computation_for_station") - def test_run_computation_for_station_gets_correct_input(self, run_computation_for_station_mock): + @patch("validator.manager.validation.ValidationManager.run_computation") + def test_run_computation_gets_correct_input(self, run_computation_mock): """ - Test that the run_computation_for_station method is called when the process_station task is run. + Test that the run_computation method is called when the process_station task is run. """ # Run the process_station task dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) @@ -99,7 +99,7 @@ def test_run_computation_for_station_gets_correct_input(self, run_computation_fo task_function = task.python_callable task_function(self.station_dict) - run_computation_for_station_mock.assert_called_once_with( + run_computation_mock.assert_called_once_with( TrafficSensorStation.from_json(self.station_dict), ANY, # This corresponds to the min_from_date parameter ANY # This corresponds to the max_to_date parameter From a48df77f4ea847d21c5c68661db5536aa604d0ed Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Wed, 8 May 2024 11:04:27 +0200 Subject: [PATCH 084/154] pollution_v2: tests restored - issue #24 --- pollution_v2/src/tests/test_common.py | 12 +++++++----- pollution_v2/src/tests/test_validation.py | 5 ++++- pollution_v2/src/tests/test_validator_tasks.py | 16 ++++++++++------ 3 files changed, 21 insertions(+), 12 deletions(-) diff --git a/pollution_v2/src/tests/test_common.py b/pollution_v2/src/tests/test_common.py index ccfd7190..d6cc1a57 100644 --- a/pollution_v2/src/tests/test_common.py +++ b/pollution_v2/src/tests/test_common.py @@ -46,7 +46,7 @@ def setUp(self): "active": "true", "available": "true", "coordinates": "1,1", - "metadata": "metadata", + "metadata": {"a22_metadata": "{\"metro\":\"123\"}"}, "name": "station", "station_type": "type", "origin": "origin" @@ -88,14 +88,16 @@ def mock_validator_whats_next_run_allow_limited_stations(self, all_stations: lis excluded_starting_date = ending_date.subtract(hours=span_hours - 2) def get_starting_date_mock_func(output_connector: ODHBaseConnector, input_connector: ODHBaseConnector, - traffic_station: TrafficSensorStation, min_from_date: datetime, + stations: List[TrafficSensorStation], min_from_date: datetime, batch_size: int) -> datetime: if isinstance(output_connector, TrafficODHConnector): return ending_date else: - if traffic_station.code in [station["code"] for station in allowed_stations]: - return included_starting_date - return excluded_starting_date + allowed_station_codes = [station["code"] for station in allowed_stations] + starting_dates = [included_starting_date + if station.code in allowed_station_codes else excluded_starting_date + for station in stations] + return min(starting_dates) self.__mock_whats_next(all_stations, allowed_stations, self.validator_dag_id, get_starting_date_mock_func) diff --git a/pollution_v2/src/tests/test_validation.py b/pollution_v2/src/tests/test_validation.py index 268182db..af2e46b2 100644 --- a/pollution_v2/src/tests/test_validation.py +++ b/pollution_v2/src/tests/test_validation.py @@ -155,8 +155,11 @@ def test_run_computation_date_range_when_few_data(self, download_mock, latest_da else: latest_date_mock.assert_not_called() + # The correct end date is the start date plus the batch size + end_date = start_date + timedelta(days=int(batch_size)) + # Test that the run_computation method is called with the correct batch date range # Few data is available, so the end date is the max date - download_mock.assert_called_once_with(start_date, self.max_date, [station]) + download_mock.assert_called_once_with(start_date, end_date, [station]) compute_mock.assert_called_once() upload_mock.assert_called_once() diff --git a/pollution_v2/src/tests/test_validator_tasks.py b/pollution_v2/src/tests/test_validator_tasks.py index fecdcc9b..f0a442c4 100644 --- a/pollution_v2/src/tests/test_validator_tasks.py +++ b/pollution_v2/src/tests/test_validator_tasks.py @@ -82,9 +82,9 @@ def test_run_computation_is_called(self, run_computation_mock): """ # Run the process_station task dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) - task = dag.get_task(self.process_station_task_id) + task = dag.get_task(self.process_stations_task_id_validation) task_function = task.python_callable - task_function(self.station_dict) + task_function([self.station_dict]) run_computation_mock.assert_called_once() @@ -93,16 +93,20 @@ def test_run_computation_gets_correct_input(self, run_computation_mock): """ Test that the run_computation method is called when the process_station task is run. """ + + batch_size = 1 + # Run the process_station task dag = self.dagbag.get_dag(dag_id=self.validator_dag_id) - task = dag.get_task(self.process_station_task_id) + task = dag.get_task(self.process_stations_task_id_validation) task_function = task.python_callable - task_function(self.station_dict) + task_function([self.station_dict]) run_computation_mock.assert_called_once_with( - TrafficSensorStation.from_json(self.station_dict), + [TrafficSensorStation.from_json(self.station_dict)], ANY, # This corresponds to the min_from_date parameter - ANY # This corresponds to the max_to_date parameter + ANY, # This corresponds to the max_to_date parameter + batch_size ) @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.execute") From 519167083f1c8004f914396b3cc81cf511887448 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 10 May 2024 08:27:46 +0200 Subject: [PATCH 085/154] pollution_v2: added controls on dates and normalisation of starting date with respect to min_date - issue #24 --- .../src/common/manager/traffic_station.py | 22 +++++++++++++++---- 1 file changed, 18 insertions(+), 4 deletions(-) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index d6bbfbde..4c96a2e6 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -109,6 +109,10 @@ def get_starting_date(self, output_connector: ODHBaseConnector, input_connector: from_date = self._iterate_while_data_found(output_connector, input_connector, station, min_from_date, batch_size) + if from_date is not None and from_date.tzinfo is None: + from_date = DEFAULT_TIMEZONE.localize(from_date) + if from_date_across_stations is not None and from_date_across_stations.tzinfo is None: + from_date_across_stations = DEFAULT_TIMEZONE.localize(from_date_across_stations) if from_date_across_stations is None or from_date < from_date_across_stations: from_date_across_stations = from_date @@ -168,8 +172,7 @@ def _get_starting_date_inner(self, output_connector: ODHBaseConnector, input_con logger.info(f"Looking for more...") return from_date, True else: - logger.info(f"Using latest measure date [{from_date.isoformat()}] as starting date for [{station.code}]") - return from_date, False + return self.__normalize_from_date(from_date, min_from_date, station.code) else: # If there isn't any latest measure available, # the min_from_date is used as starting date for the batch @@ -179,6 +182,11 @@ def _get_starting_date_inner(self, output_connector: ODHBaseConnector, input_con logger.debug(f"Measures found, using min date [{latest_measure.valid_time}] as starting date for [{station.code}]") from_date = latest_measure.valid_time + return self.__normalize_from_date(from_date, min_from_date, station.code) + + def __normalize_from_date(self, from_date: datetime, min_from_date: datetime, + station_code: str) -> Tuple[datetime, bool]: + if from_date.tzinfo is None: from_date = DEFAULT_TIMEZONE.localize(from_date) @@ -190,11 +198,12 @@ def _get_starting_date_inner(self, output_connector: ODHBaseConnector, input_con if from_date < min_from_date: logger.warning(f"Latest measure date is [{from_date.isoformat()}] but it's before the min starting date; " - f"using [{min_from_date.isoformat()}]") + f"using [{min_from_date.isoformat()}] as starting date for [{station_code}]") from_date = min_from_date elif from_date > min_from_date: - logger.info(f"Using latest measure date [{from_date.isoformat()}] as starting date for [{station.code}]") + logger.info(f"Using latest measure date [{from_date.isoformat()}] as starting date for [{station_code}]") + # final date, no more iteration then False as second element of tuple returned return from_date, False def __get_latest_measure(self, connector: ODHBaseConnector, @@ -329,6 +338,11 @@ def run_computation(self, for station in stations: checkpoint = self._checkpoint_cache.get( ComputationCheckpoint.get_id_for_station(station, self._get_manager_code())) + if (checkpoint is not None and + checkpoint.checkpoint_dt is not None and checkpoint.checkpoint_dt.tzinfo is None): + checkpoint.checkpoint_dt = DEFAULT_TIMEZONE.localize(checkpoint.checkpoint_dt) + if to_date is not None and to_date.tzinfo is None: + to_date = DEFAULT_TIMEZONE.localize(to_date) if checkpoint is None or checkpoint.checkpoint_dt < to_date: self._checkpoint_cache.set( ComputationCheckpoint( From 3c778e7937ed72dd9a87570916613e19b2528e8f Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 10 May 2024 13:46:01 +0200 Subject: [PATCH 086/154] pollution_v2: sensor_type retrieved from metadata and used to filter stations of type induction_loop + change in date rage to history retrieve - issue #24 --- pollution_v2/src/common/data_model/station.py | 7 +++++ .../src/common/manager/traffic_station.py | 6 ++++- pollution_v2/src/dags/aiaas_validator.py | 4 +-- pollution_v2/src/dags/common.py | 26 ++++++++++++------- .../src/validator/manager/validation.py | 2 +- 5 files changed, 32 insertions(+), 13 deletions(-) diff --git a/pollution_v2/src/common/data_model/station.py b/pollution_v2/src/common/data_model/station.py index 02e0ae8f..7d126ece 100644 --- a/pollution_v2/src/common/data_model/station.py +++ b/pollution_v2/src/common/data_model/station.py @@ -37,6 +37,13 @@ def km(self) -> float: logger.debug(f"Mileage not defined for station [{self.code}]") return -1000 + @property + def sensor_type(self) -> float: + """ + Returns sensor type. + """ + return self.metadata.get("sensor_type") + __version__: ClassVar[int] = 1 @classmethod diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 4c96a2e6..42bb3a61 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -382,8 +382,12 @@ def run_computation_and_upload_results(self, stations_with_km = [station for station in stations if station.km > 0] logger.info(f"Stations filtered on having km defined, resulting {len(stations_with_km)} " f"elements (starting from {len(stations)})") + stations_with_km_indloop = [station for station in stations_with_km + if station.sensor_type is not None and station.sensor_type == 'induction_loop'] + logger.info(f"Stations filtered on sensor_type being induction_loop, resulting {len(stations_with_km_indloop)} " + f"elements (starting from {len(stations_with_km)})") - self.run_computation(stations_with_km, min_from_date, max_to_date, batch_size) + self.run_computation(stations_with_km_indloop, min_from_date, max_to_date, batch_size) computation_end_dt = datetime.now() logger.info(f"Completed computation in [{(computation_end_dt - computation_start_dt).seconds}]") diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py index 8731d2c3..0f4f8226 100644 --- a/pollution_v2/src/dags/aiaas_validator.py +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -92,7 +92,7 @@ def get_stations_list(**kwargs) -> list[dict]: """ manager = _init_manager() - stations_list = dag.get_stations_list(manager, True, **kwargs) + stations_list = dag.get_stations_list(manager, True, True, **kwargs) # Serialization and deserialization is dependent on speed. # Use built-in functions like dict as much as you can and stay away @@ -145,7 +145,7 @@ def has_remaining_data(starting_date: datetime, ending_date: datetime) -> bool: return (ending_date - starting_date).total_seconds() / 3600 > DAG_VALIDATION_TRIGGER_DAG_HOURS_SPAN dag.trigger_next_dag_run(manager, dag, has_remaining_data, - ODH_COMPUTATION_BATCH_SIZE_VALIDATION,True, **kwargs) + ODH_COMPUTATION_BATCH_SIZE_VALIDATION,True, True, **kwargs) tmp = get_stations_list() diff --git a/pollution_v2/src/dags/common.py b/pollution_v2/src/dags/common.py index 1225f165..0d8e0365 100644 --- a/pollution_v2/src/dags/common.py +++ b/pollution_v2/src/dags/common.py @@ -44,7 +44,8 @@ def init_date_range(min_from_date: Optional[datetime], max_to_date: Optional[dat return min_from_date, max_to_date @staticmethod - def get_stations_list(manager: TrafficStationManager, filter_km_gt0: bool = False, **kwargs): + def get_stations_list(manager: TrafficStationManager, filter_km_gt0: bool = False, + filter_indloop: bool = False, **kwargs): """ Returns the complete list of stations or the filtered list based on previous DAG run @@ -60,18 +61,24 @@ def get_stations_list(manager: TrafficStationManager, filter_km_gt0: bool = Fals logger.info(f"Found {len(traffic_stations)} traffic stations") + res = traffic_stations + if filter_km_gt0: - stations_with_km = [station for station in traffic_stations if station.km > 0] - logger.info(f"Stations filtered on having km defined, resulting {len(stations_with_km)} " - f"elements (starting from {len(traffic_stations)})") - return stations_with_km - else: - return [station for station in traffic_stations] + res = [station for station in res if station.km > 0] + logger.info(f"Stations filtered on having km defined: {len(res)} elements") + + if filter_indloop: + res = [station for station in res + if station.sensor_type is not None and station.sensor_type == 'induction_loop'] + logger.info(f"Stations filtered on sensor_type being induction_loop: {len(res)} elements") + + return res @staticmethod def trigger_next_dag_run(manager: TrafficStationManager, originator_dag: DAG, has_remaining_data: Callable[[datetime, datetime], bool], - batch_size: int, filter_km_gt0: bool = False, **kwargs): + batch_size: int, filter_km_gt0: bool = False, + filter_indloop: bool = False, **kwargs): """ Checks if there are still data to be processed before ending DAG runs @@ -80,10 +87,11 @@ def trigger_next_dag_run(manager: TrafficStationManager, originator_dag: DAG, :param has_remaining_data: the function to use to check if there are still data to process :param batch_size: batch_size to consider :param filter_km_gt0: filters on km > 0 stations + :param filter_indloop: filters on induction loop sensor type """ stations = [] - all_stations = TrafficStationsDAG.get_stations_list(manager, filter_km_gt0) + all_stations = TrafficStationsDAG.get_stations_list(manager, filter_km_gt0, filter_indloop) for station in all_stations: starting_date = manager.get_starting_date(manager.get_output_connector(), manager.get_input_connector(), [station], ODH_MINIMUM_STARTING_DATE, batch_size) diff --git a/pollution_v2/src/validator/manager/validation.py b/pollution_v2/src/validator/manager/validation.py index 8601591d..474773c9 100644 --- a/pollution_v2/src/validator/manager/validation.py +++ b/pollution_v2/src/validator/manager/validation.py @@ -54,7 +54,7 @@ def _download_history_data(self, measures = [] from_date_on_month = from_date.replace(day=1) - to_date_on_month = datetime(to_date.year, to_date.month + 1, 1) + timedelta(days=-1) + to_date_on_month = datetime(to_date.year, to_date.month + 1, 1) if to_date_on_month.tzinfo is None: to_date_on_month = DEFAULT_TIMEZONE.localize(to_date_on_month) From ebf45e486ad5efb60a24da246707b5c6fc620bcc Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 10 May 2024 16:00:30 +0200 Subject: [PATCH 087/154] pollution_v2: better date range to retrieve historic data - issue #24 --- pollution_v2/src/validator/manager/validation.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/pollution_v2/src/validator/manager/validation.py b/pollution_v2/src/validator/manager/validation.py index 474773c9..f12a1617 100644 --- a/pollution_v2/src/validator/manager/validation.py +++ b/pollution_v2/src/validator/manager/validation.py @@ -8,6 +8,8 @@ from datetime import datetime, timedelta from typing import List +from dateutil.relativedelta import relativedelta + from common.cache.common import TrafficManagerClass from common.connector.common import ODHBaseConnector from common.data_model import TrafficSensorStation @@ -54,7 +56,7 @@ def _download_history_data(self, measures = [] from_date_on_month = from_date.replace(day=1) - to_date_on_month = datetime(to_date.year, to_date.month + 1, 1) + to_date_on_month = from_date_on_month + relativedelta(months=1) if to_date_on_month.tzinfo is None: to_date_on_month = DEFAULT_TIMEZONE.localize(to_date_on_month) From 31c36e079a7b32b42784164395e8c94c351eb2b0 Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Mon, 13 May 2024 10:26:02 +0200 Subject: [PATCH 088/154] env-a22-nlc: #32 update parameter map --- .../.gitignore | 3 ++- .../src/processorParameters.csv | 26 +++++++++---------- 2 files changed, 15 insertions(+), 14 deletions(-) diff --git a/environment-a22-non-linear-calibration/.gitignore b/environment-a22-non-linear-calibration/.gitignore index 49d0d3e1..023c94fa 100644 --- a/environment-a22-non-linear-calibration/.gitignore +++ b/environment-a22-non-linear-calibration/.gitignore @@ -5,4 +5,5 @@ pyvenv.cfg /include /lib /lib64 -/.vscode \ No newline at end of file +/.vscode +.~lock.* diff --git a/environment-a22-non-linear-calibration/src/processorParameters.csv b/environment-a22-non-linear-calibration/src/processorParameters.csv index 72ab65fd..f32a7a27 100644 --- a/environment-a22-non-linear-calibration/src/processorParameters.csv +++ b/environment-a22-non-linear-calibration/src/processorParameters.csv @@ -31,19 +31,19 @@ AIRQ06,14,20,,,29175,0.3606,-205.1,0.02167,0.00000624,0,2 AIRQ07,14,20,,,4842,0.07162,-37.45,0.0179,0.000002463,0,2 AIRQ08,14,20,,,9604,0.1538,-77.05,0.007015,-0.000002289,0,2 AIRQ09,14,20,,,-1691,0.002606,5.126,-0.01031,-0.000009659,0,2 -AIRQ10,14,20,,,19151,0.2199,-129.8,-0.003228,-0.000001263,0,2 -AIRQ11,14,20,,,1774,0.04206,-18.33,-0.004666,-0.00001564,0,2 -AIRQ12,14,20,,,11438,0.1298,-77.18,-0.0002428,0.000008717,0,2 -AIRQ13,14,20,,,8250,0.1163,-62.22,0.00337,0.00001052,0,2 -AIRQ14,14,20,,,6597,0.1095,-54.26,0.002303,0.00001105,0,2 -AIRQ15,14,20,,,2204,0.05105,-22.24,0.004314,0.000009441,0,2 -AIRQ16,14,20,,,4107,0.07352,-35.32,-0.0002714,0.00001197,0,2 -AIRQ17,14,20,,,11643,0.1632,-87.38,0.0048,0.00001358,0,2 -AIRQ18,14,20,,,-7618,-0.07703,48.77,-0.005534,-0.000009747,0,2 -AIRQ19,14,20,,,6601,0.1137,-55.15,0.001067,0.000008637,0,2 -AIRQ20,14,20,,,137.7,0.01504,-4.583,0.0004265,-0.00001449,0,2 -AIRQ21,14,20,,,6848,0.1078,-54.61,-0.001715,0.00001281,0,2 -AIRQ22,14,20,,,5111,0.08645,-42.48,0.01585,0.000002621,0,2 +AIRQ10,14,20,,,1462,0.01865,-10.48,0.07055,0.000003153,0,2 +AIRQ11,14,20,,,9023,0.1123,-63.71,0.04524,0.000002328,0,2 +AIRQ12,14,20,,,-1424,-0.01395,8.977,0.04727,-0.000001084,0,2 +AIRQ13,14,20,,,432.7,0.01123,-4.786,0.06725,0.000004037,0,2 +AIRQ14,14,20,,,1701,0.03242,-15.2,0.05827,0.000005228,0,2 +AIRQ15,14,20,,,7056,0.09509,-51.84,0.0413,0.0000009993,0,2 +AIRQ16,14,20,,,-266.5,0.005954,-0.7894,0.05884,0.000005623,0,2 +AIRQ17,14,20,,,1410,0.02384,-11.76,0.0792,0.000004268,0,2 +AIRQ18,14,20,,,-6700,-0.07261,44.26,0.02591,-0.000004106,0,2 +AIRQ19,14,20,,,3390,0.05506,-27.44,0.0574,0.00000344,0,2 +AIRQ20,14,20,,,-2188,-0.02381,14.54,0.05321,-0.000002121,0,2 +AIRQ21,14,20,,,-419.3,0.001674,1.007,0.07335,0.000004655,0,2 +AIRQ22,14,20,,,11060,0.1454,-80.27,0.07964,0.00000003535,0,2 AIRQ23,14,20,,,8274,0.1349,-67.12,0.009057,0.00000729,0,2 AIRQ01,15,,,,1045.719,-0.1012517,22.47272,-1185.372,-0.00001573268,0,1 AIRQ02,15,,,,-1279.81438001599,-0.133930795158718,30.0333857856003,-210.034641394992,-3.87262438213043E-05,0,1 From 4840d8e0caef0a5817634d5e7773f516704e0a93 Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Tue, 28 May 2024 14:12:18 +0200 Subject: [PATCH 089/154] parking-free: Add referer header to prepare for history quota --- parking-free-slot-calculation/src/calculateFreeParkingSlots.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/parking-free-slot-calculation/src/calculateFreeParkingSlots.py b/parking-free-slot-calculation/src/calculateFreeParkingSlots.py index 0d3313ac..867034b9 100644 --- a/parking-free-slot-calculation/src/calculateFreeParkingSlots.py +++ b/parking-free-slot-calculation/src/calculateFreeParkingSlots.py @@ -17,7 +17,7 @@ class FreeParkingSlotsCalculator: FREE_URL = "/flat/ParkingStation,ParkingSensor/free/latest?limit=-1&where=sactive.eq.true&select=mvalidtime,tname,scode,stype,mperiod" def fetchData(self, url): - r = requests.get(os.getenv("ODH_MOBILITY_API_NINJA") + url) + r = requests.get(os.getenv("ODH_MOBILITY_API_NINJA") + url, headers={"referer": "parking-free-elab"}) return r.json()['data']; def getHistoryData(self, stationcode, period, fromTime): From 192f196bbc10d5bb72a97508ebcacdc2b738b9d3 Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Tue, 28 May 2024 14:57:43 +0200 Subject: [PATCH 090/154] parking-free: remove deprecated docker compose version tag --- parking-free-slot-calculation/docker-compose.yml | 2 -- .../infrastructure/docker-compose.build.yml | 2 -- .../infrastructure/docker-compose.run.yml | 2 -- 3 files changed, 6 deletions(-) diff --git a/parking-free-slot-calculation/docker-compose.yml b/parking-free-slot-calculation/docker-compose.yml index d06dad81..86aed8f0 100644 --- a/parking-free-slot-calculation/docker-compose.yml +++ b/parking-free-slot-calculation/docker-compose.yml @@ -2,8 +2,6 @@ # # SPDX-License-Identifier: CC0-1.0 -version: "3.8" - services: app: image: python:3.12-slim diff --git a/parking-free-slot-calculation/infrastructure/docker-compose.build.yml b/parking-free-slot-calculation/infrastructure/docker-compose.build.yml index 0408c137..266ebd45 100644 --- a/parking-free-slot-calculation/infrastructure/docker-compose.build.yml +++ b/parking-free-slot-calculation/infrastructure/docker-compose.build.yml @@ -1,5 +1,3 @@ -version: "3.4" - services: app: image: ${DOCKER_IMAGE}:${DOCKER_TAG} diff --git a/parking-free-slot-calculation/infrastructure/docker-compose.run.yml b/parking-free-slot-calculation/infrastructure/docker-compose.run.yml index e1c2a220..cabb6c70 100644 --- a/parking-free-slot-calculation/infrastructure/docker-compose.run.yml +++ b/parking-free-slot-calculation/infrastructure/docker-compose.run.yml @@ -1,5 +1,3 @@ -version: "3.4" - services: app: image: ${DOCKER_IMAGE}:${DOCKER_TAG} From 1f84a9b2275fd76a8573faae49101fba883af34d Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Thu, 30 May 2024 13:08:55 +0200 Subject: [PATCH 091/154] pollution_v2: number of retries on configuration - issue #24 --- pollution_v2/src/common/settings.py | 2 ++ pollution_v2/src/dags/aiaas_pollution_computer.py | 4 ++-- pollution_v2/src/dags/aiaas_validator.py | 4 ++-- 3 files changed, 6 insertions(+), 4 deletions(-) diff --git a/pollution_v2/src/common/settings.py b/pollution_v2/src/common/settings.py index 491f887b..3795e355 100644 --- a/pollution_v2/src/common/settings.py +++ b/pollution_v2/src/common/settings.py @@ -62,3 +62,5 @@ COMPUTATION_CHECKPOINT_REDIS_HOST = Variable.get("COMPUTATION_CHECKPOINT_REDIS_HOST", None) COMPUTATION_CHECKPOINT_REDIS_PORT = int(Variable.get("COMPUTATION_CHECKPOINT_REDIS_PORT", 6379)) COMPUTATION_CHECKPOINT_REDIS_DB = int(Variable.get("COMPUTATION_CHECKPOINT_REDIS_DB", 0)) + +AIRFLOW_NUM_RETRIES = 3 diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index 5f972ecd..bfe19023 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -18,7 +18,7 @@ COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_HOST, PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME_POLL_ELABORATION, PROVENANCE_VERSION, DAG_POLLUTION_EXECUTION_CRONTAB, DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN, - DEFAULT_TIMEZONE, ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION) + DEFAULT_TIMEZONE, ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION, AIRFLOW_NUM_RETRIES) from pollution_connector.manager.pollution_computation import PollutionComputationManager # see https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dynamic-task-mapping.html @@ -32,7 +32,7 @@ 'email': ['airflow@example.com'], 'email_on_failure': False, 'email_on_retry': False, - 'retries': 1, + 'retries': AIRFLOW_NUM_RETRIES, 'retry_delay': timedelta(minutes=5), } diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py index 0f4f8226..81624469 100644 --- a/pollution_v2/src/dags/aiaas_validator.py +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -18,7 +18,7 @@ PROVENANCE_LINEAGE, PROVENANCE_NAME_VALIDATION, PROVENANCE_VERSION, COMPUTATION_CHECKPOINT_REDIS_HOST, COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_DB, DEFAULT_TIMEZONE, DAG_VALIDATION_TRIGGER_DAG_HOURS_SPAN, - ODH_COMPUTATION_BATCH_SIZE_VALIDATION) + ODH_COMPUTATION_BATCH_SIZE_VALIDATION, AIRFLOW_NUM_RETRIES) from validator.manager.validation import ValidationManager # see https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dynamic-task-mapping.html @@ -32,7 +32,7 @@ 'email': ['airflow@example.com'], 'email_on_failure': False, 'email_on_retry': False, - 'retries': 1, + 'retries': AIRFLOW_NUM_RETRIES, 'retry_delay': timedelta(minutes=5), } From c21f2c95b5cd530a9bcc346f6cb3e4f06b20d8c3 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Thu, 30 May 2024 13:09:52 +0200 Subject: [PATCH 092/154] pollution_v2: stations in Bolzano municipality skipped from validation - issue #24 --- pollution_v2/src/common/manager/traffic_station.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 42bb3a61..b9931ba1 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -379,9 +379,13 @@ def run_computation_and_upload_results(self, computation_start_dt = datetime.now() stations = self.get_traffic_stations_from_cache() - stations_with_km = [station for station in stations if station.km > 0] - logger.info(f"Stations filtered on having km defined, resulting {len(stations_with_km)} " + + stations_no_famas_traffic = [station for station in stations if station.origin != 'FAMAS-traffic'] + logger.info(f"Stations filtered excluding 'FAMAS-traffic', resulting {len(stations_no_famas_traffic)} " f"elements (starting from {len(stations)})") + stations_with_km = [station for station in stations_no_famas_traffic if station.km > 0] + logger.info(f"Stations filtered on having km defined, resulting {len(stations_with_km)} " + f"elements (starting from {len(stations_no_famas_traffic)})") stations_with_km_indloop = [station for station in stations_with_km if station.sensor_type is not None and station.sensor_type == 'induction_loop'] logger.info(f"Stations filtered on sensor_type being induction_loop, resulting {len(stations_with_km_indloop)} " From 4f887810b562e50aa97f692e2299643ef7a2298b Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 31 May 2024 07:53:13 +0200 Subject: [PATCH 093/154] pollution_v2: filter on famas stations - issue #24 --- pollution_v2/src/dags/aiaas_pollution_computer.py | 2 +- pollution_v2/src/dags/aiaas_validator.py | 2 +- pollution_v2/src/dags/common.py | 7 ++++++- 3 files changed, 8 insertions(+), 3 deletions(-) diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index bfe19023..9b4bb12a 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -92,7 +92,7 @@ def get_stations_list(**kwargs) -> list[dict]: """ manager = _init_manager() - stations_list = dag.get_stations_list(manager, **kwargs) + stations_list = dag.get_stations_list(manager, True, True, True, **kwargs) # Serialization and deserialization is dependent on speed. # Use built-in functions like dict as much as you can and stay away diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py index 81624469..44189dfb 100644 --- a/pollution_v2/src/dags/aiaas_validator.py +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -92,7 +92,7 @@ def get_stations_list(**kwargs) -> list[dict]: """ manager = _init_manager() - stations_list = dag.get_stations_list(manager, True, True, **kwargs) + stations_list = dag.get_stations_list(manager, True, True, True, **kwargs) # Serialization and deserialization is dependent on speed. # Use built-in functions like dict as much as you can and stay away diff --git a/pollution_v2/src/dags/common.py b/pollution_v2/src/dags/common.py index 0d8e0365..9f818fad 100644 --- a/pollution_v2/src/dags/common.py +++ b/pollution_v2/src/dags/common.py @@ -45,7 +45,7 @@ def init_date_range(min_from_date: Optional[datetime], max_to_date: Optional[dat @staticmethod def get_stations_list(manager: TrafficStationManager, filter_km_gt0: bool = False, - filter_indloop: bool = False, **kwargs): + filter_indloop: bool = False, filter_famas: bool = False, **kwargs): """ Returns the complete list of stations or the filtered list based on previous DAG run @@ -72,6 +72,11 @@ def get_stations_list(manager: TrafficStationManager, filter_km_gt0: bool = Fals if station.sensor_type is not None and station.sensor_type == 'induction_loop'] logger.info(f"Stations filtered on sensor_type being induction_loop: {len(res)} elements") + if filter_famas: + res = [station for station in res + if station.origin is not None and station.origin != 'FAMAS-traffic'] + logger.info(f"Stations filtered on origin different from 'FAMAS-traffic': {len(res)} elements") + return res @staticmethod From 58cab8166276bcf296b0d500dd3f8109dc31ba14 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 31 May 2024 08:17:47 +0200 Subject: [PATCH 094/154] pollution_v2: tests fixed - issue #24 --- pollution_v2/src/tests/test_common.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pollution_v2/src/tests/test_common.py b/pollution_v2/src/tests/test_common.py index d6cc1a57..6dee0157 100644 --- a/pollution_v2/src/tests/test_common.py +++ b/pollution_v2/src/tests/test_common.py @@ -46,7 +46,7 @@ def setUp(self): "active": "true", "available": "true", "coordinates": "1,1", - "metadata": {"a22_metadata": "{\"metro\":\"123\"}"}, + "metadata": {"a22_metadata": "{\"metro\":\"123\"}", "sensor_type": "induction_loop"}, "name": "station", "station_type": "type", "origin": "origin" From d88f96d71f2ccb899e1c6ecb433e707b883ced88 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 31 May 2024 09:56:58 +0200 Subject: [PATCH 095/154] pollution_v2: main running on single vs. all stations based on computation type + better logs before running pollution computation - issue #25 --- .../src/common/manager/traffic_station.py | 16 ++++++++-- pollution_v2/src/main_pollution_connector.py | 3 +- pollution_v2/src/main_validation.py | 3 +- .../model/pollution_computation_model.py | 32 ++++++++++++++----- 4 files changed, 42 insertions(+), 12 deletions(-) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index b9931ba1..dba039f6 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -358,7 +358,8 @@ def run_computation(self, def run_computation_and_upload_results(self, min_from_date: datetime, max_to_date: datetime, - batch_size: int) -> None: + batch_size: int, + run_on_all_stations: bool) -> None: """ Watch-out! Used only from main_*! @@ -368,6 +369,7 @@ def run_computation_and_upload_results(self, :param min_from_date: Traffic measures before this date are discarded if no measures are available. :param max_to_date: Traffic measure after this date are discarded. :param batch_size: Number of days to be processed as maximum span. + :param run_on_all_stations: Defines if the run must be done on all stations ate the same time """ if min_from_date.tzinfo is None: @@ -391,7 +393,17 @@ def run_computation_and_upload_results(self, logger.info(f"Stations filtered on sensor_type being induction_loop, resulting {len(stations_with_km_indloop)} " f"elements (starting from {len(stations_with_km)})") - self.run_computation(stations_with_km_indloop, min_from_date, max_to_date, batch_size) + if run_on_all_stations: + self._run_computation_on_all_stations(stations_with_km_indloop, min_from_date, max_to_date, batch_size) + else: + self._run_computation_on_single_station(stations_with_km_indloop, min_from_date, max_to_date, batch_size) computation_end_dt = datetime.now() logger.info(f"Completed computation in [{(computation_end_dt - computation_start_dt).seconds}]") + + def _run_computation_on_single_station(self, stations, min_from_date, max_to_date, batch_size): + for station in stations: + self.run_computation([station], min_from_date, max_to_date, batch_size) + + def _run_computation_on_all_stations(self, stations, min_from_date, max_to_date, batch_size): + self.run_computation(stations, min_from_date, max_to_date, batch_size) diff --git a/pollution_v2/src/main_pollution_connector.py b/pollution_v2/src/main_pollution_connector.py index d6610e8a..42c9b0b8 100644 --- a/pollution_v2/src/main_pollution_connector.py +++ b/pollution_v2/src/main_pollution_connector.py @@ -64,7 +64,8 @@ def compute_data(min_from_date: Optional[datetime] = None, collector_connector = ConnectorCollector.build_from_env() provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME_POLL_ELABORATION, PROVENANCE_VERSION) manager = PollutionComputationManager(collector_connector, provenance, checkpoint_cache) - manager.run_computation_and_upload_results(min_from_date, max_to_date, ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION) + manager.run_computation_and_upload_results(min_from_date, max_to_date, + ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION, False) if __name__ == "__main__": diff --git a/pollution_v2/src/main_validation.py b/pollution_v2/src/main_validation.py index 70b1ca64..fa88f9c1 100644 --- a/pollution_v2/src/main_validation.py +++ b/pollution_v2/src/main_validation.py @@ -64,7 +64,8 @@ def compute_data(min_from_date: Optional[datetime] = None, collector_connector = ConnectorCollector.build_from_env() provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME_VALIDATION, PROVENANCE_VERSION) manager = ValidationManager(collector_connector, provenance, checkpoint_cache) - manager.run_computation_and_upload_results(min_from_date, max_to_date, ODH_COMPUTATION_BATCH_SIZE_VALIDATION) + manager.run_computation_and_upload_results(min_from_date, max_to_date, + ODH_COMPUTATION_BATCH_SIZE_VALIDATION, True) if __name__ == "__main__": diff --git a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py index 07f872f8..acba176e 100644 --- a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py +++ b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py @@ -27,7 +27,7 @@ class PollutionComputationModel: @staticmethod def _get_pollution_entries_from_df(pollution_df: pd.DataFrame, stations_dict: Dict[str, TrafficSensorStation]) -> \ - List[PollutionEntry]: + List[PollutionEntry]: """ Create a list of PollutionEntry for the given dataframe. The dataframe should have the following columns: date,time,Location,Station,Lane,Category,km,Pollutant,Total_Transits,E @@ -57,18 +57,34 @@ def compute_data(self, validation: ValidationMeasureCollection, :param station: A station to be processed :return: A list of the new computed pollution measures """ - validated_datetimes = {measure.valid_time for measure in validation.measures if measure.value == 1} + + validation_data_types = {str(measure.data_type) for measure in validation.measures} + traffic_data_types = {str(measure.data_type) for measure in traffic.measures} + + logger.info(f"{len(validation.measures)} validation measures available " + f"on {len(validation_data_types)} data types") + valid_measures = [measure for measure in validation.measures if measure.value == 1] + logger.info(f"{len(valid_measures)} " + f"validation measures available computed as valid " + f"on {len(validation_data_types)} data types") + logger.info(f"{len(traffic.measures)} traffic measures available " + f"on {len(traffic_data_types)} data types") + + validated_datetimes = {measure.valid_time for measure in valid_measures} traffic_datetimes = {measure.valid_time for measure in traffic.measures} - diff = {measure.valid_time.strftime("%m/%d/%Y, %H:%M:%S") for measure in traffic.measures - if measure.valid_time in traffic_datetimes.difference(validated_datetimes)} - if len(diff) > 0: + diff_datetime = {measure.valid_time.strftime("%m/%d/%Y, %H:%M:%S") for measure in traffic.measures + if measure.valid_time in traffic_datetimes.difference(validated_datetimes)} + diff_date = {measure.valid_time.strftime("%m/%d/%Y") for measure in traffic.measures + if measure.valid_time in traffic_datetimes.difference(validated_datetimes)} + if len(diff_datetime) > 0: logger.warning( - f"Missing validation or not validated data for the following dates [{sorted(diff)}] on station " - f"[{station.code}]: {len(diff)} records will not be processed") + f"{len(diff_datetime)} discarded records: no validation " + f"for the dates [{diff_date}] on station [{station.code}]) " + f"(and datetimes [{sorted(diff_datetime)}]") run_on_datetimes = validated_datetimes.intersection(traffic_datetimes) - logger.info(f"Ready to process validation on {len(run_on_datetimes)} datetimes") + logger.info(f"Ready to process pollution computation on {len(run_on_datetimes)} datetimes") traffic_entries = traffic.get_entries() From 303320281761992699a78ea6323e79072805e064 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 3 Jun 2024 12:10:26 +0200 Subject: [PATCH 096/154] pollution_v2: sort on logs --- .../pollution_connector/model/pollution_computation_model.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py index acba176e..83642775 100644 --- a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py +++ b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py @@ -80,7 +80,7 @@ def compute_data(self, validation: ValidationMeasureCollection, if len(diff_datetime) > 0: logger.warning( f"{len(diff_datetime)} discarded records: no validation " - f"for the dates [{diff_date}] on station [{station.code}]) " + f"for the dates [{sorted(diff_date)}] on station [{station.code}]) " f"(and datetimes [{sorted(diff_datetime)}]") run_on_datetimes = validated_datetimes.intersection(traffic_datetimes) From b6210e3db5b651f2cc429885919c80c2753ba983 Mon Sep 17 00:00:00 2001 From: Simone Brentan Date: Mon, 3 Jun 2024 13:11:54 +0200 Subject: [PATCH 097/154] Apply 1 suggestion(s) to 1 file(s) --- pollution_v2/src/common/model/helper.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pollution_v2/src/common/model/helper.py b/pollution_v2/src/common/model/helper.py index a8977a8f..1783478e 100644 --- a/pollution_v2/src/common/model/helper.py +++ b/pollution_v2/src/common/model/helper.py @@ -18,7 +18,7 @@ class ModelHelper: """ - Created Pandas datqframes starting useful to feed computerion algorithms + Created Pandas dataframes starting useful to feed computation algorithms """ @staticmethod From 998f8a11c1bc50a364d860afc958b4216ac9d4c6 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 3 Jun 2024 17:38:58 +0200 Subject: [PATCH 098/154] =?UTF-8?q?pollution=5Fv2:=20update=20for=20?= =?UTF-8?q?=E2=80=9Cparco=20circolante=E2=80=9D=20+=20blacklist=20removed?= =?UTF-8?q?=20+=20filter=20on=20famas=20stations=20everywhere=20-=20issue?= =?UTF-8?q?=20#25?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../src/dags/aiaas_pollution_computer.py | 2 +- pollution_v2/src/dags/aiaas_validator.py | 2 +- pollution_v2/src/dags/common.py | 5 +- .../model/CopertEmissions.py | 23 ++++-- .../model/input/fc_info.csv | 72 +++++++++---------- .../model/input/fc_info_2018.csv | 37 ++++++++++ .../model/input/fc_info_2019.csv | 37 ++++++++++ .../model/input/fc_info_2020.csv | 37 ++++++++++ .../model/input/fc_info_2021.csv | 37 ++++++++++ .../model/input/fc_info_2022.csv | 37 ++++++++++ .../model/pollution_computation_model.py | 6 +- 11 files changed, 250 insertions(+), 45 deletions(-) create mode 100644 pollution_v2/src/pollution_connector/model/input/fc_info_2018.csv create mode 100644 pollution_v2/src/pollution_connector/model/input/fc_info_2019.csv create mode 100644 pollution_v2/src/pollution_connector/model/input/fc_info_2020.csv create mode 100644 pollution_v2/src/pollution_connector/model/input/fc_info_2021.csv create mode 100644 pollution_v2/src/pollution_connector/model/input/fc_info_2022.csv diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index 9b4bb12a..72e81b86 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -147,7 +147,7 @@ def has_remaining_data(starting_date: datetime, ending_date: datetime) -> bool: return (ending_date - starting_date).total_seconds() / 3600 > DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN dag.trigger_next_dag_run(manager, dag, has_remaining_data, - ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION, **kwargs) + ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION, True, True, True, **kwargs) processed_stations = process_station.expand(station_dict=get_stations_list()) diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py index 44189dfb..43544de2 100644 --- a/pollution_v2/src/dags/aiaas_validator.py +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -145,7 +145,7 @@ def has_remaining_data(starting_date: datetime, ending_date: datetime) -> bool: return (ending_date - starting_date).total_seconds() / 3600 > DAG_VALIDATION_TRIGGER_DAG_HOURS_SPAN dag.trigger_next_dag_run(manager, dag, has_remaining_data, - ODH_COMPUTATION_BATCH_SIZE_VALIDATION,True, True, **kwargs) + ODH_COMPUTATION_BATCH_SIZE_VALIDATION,True, True, True, **kwargs) tmp = get_stations_list() diff --git a/pollution_v2/src/dags/common.py b/pollution_v2/src/dags/common.py index 9f818fad..b6dbf3a0 100644 --- a/pollution_v2/src/dags/common.py +++ b/pollution_v2/src/dags/common.py @@ -83,7 +83,7 @@ def get_stations_list(manager: TrafficStationManager, filter_km_gt0: bool = Fals def trigger_next_dag_run(manager: TrafficStationManager, originator_dag: DAG, has_remaining_data: Callable[[datetime, datetime], bool], batch_size: int, filter_km_gt0: bool = False, - filter_indloop: bool = False, **kwargs): + filter_indloop: bool = False, filter_famas: bool = False, **kwargs): """ Checks if there are still data to be processed before ending DAG runs @@ -93,10 +93,11 @@ def trigger_next_dag_run(manager: TrafficStationManager, originator_dag: DAG, :param batch_size: batch_size to consider :param filter_km_gt0: filters on km > 0 stations :param filter_indloop: filters on induction loop sensor type + :param filter_famas: filters on not famas stations """ stations = [] - all_stations = TrafficStationsDAG.get_stations_list(manager, filter_km_gt0, filter_indloop) + all_stations = TrafficStationsDAG.get_stations_list(manager, filter_km_gt0, filter_indloop, filter_famas) for station in all_stations: starting_date = manager.get_starting_date(manager.get_output_connector(), manager.get_input_connector(), [station], ODH_MINIMUM_STARTING_DATE, batch_size) diff --git a/pollution_v2/src/pollution_connector/model/CopertEmissions.py b/pollution_v2/src/pollution_connector/model/CopertEmissions.py index 69cc78b1..29024fbe 100644 --- a/pollution_v2/src/pollution_connector/model/CopertEmissions.py +++ b/pollution_v2/src/pollution_connector/model/CopertEmissions.py @@ -6,19 +6,32 @@ Created on Tue Aug 16 2022 @author: nicola """ +import logging import os import sqlite3 +from pathlib import Path + import pandas as pd import numpy as np +logger = logging.getLogger("pollution_v2.pollution_connector.model.CopertEmission") + # stima delle emissioni con metodo di copert -def copert_emissions(traffic_df): +def copert_emissions(traffic_df, fc_info_year: str = ""): + # ------------------------------------------------------------------------------ # 0. INIZIALIZZAZIONE # ------------------------------------------------------------------------------ # Percorsi dei file di input e output input_data_path = f"{os.path.dirname(os.path.abspath(__file__))}/input/" + + fc_info_filename = f'fc_info_{fc_info_year}.csv' + my_file = Path(input_data_path + fc_info_filename) + if not my_file.is_file(): + logger.warning(f"No fc_info file found for year '{fc_info_year}', using default 'fc_info.csv'") + fc_info_filename = f'fc_info.csv' + input_copert = input_data_path + 'copert55.db' # Importa tabella dei coefficienti COPERT da DB con = sqlite3.connect(input_copert) @@ -26,11 +39,12 @@ def copert_emissions(traffic_df): # Importa file csv di input: # 1- fleet-composition: distribuzione percentuale parco macchine per categoria, # alimentazione e classe EURO - fc = pd.read_csv(input_data_path + 'fc_info.csv') + fc = pd.read_csv(input_data_path + fc_info_filename) # 2- geometria dell'asse stradale (chilometrica e quote) geometry = pd.read_csv(input_data_path + 'geometry.csv') # 3- lista delle stazioni da non considerare (blacklist) - blacklist = np.loadtxt(input_data_path + 'blacklist.txt') + # no more used after validation algorithm + # blacklist = np.loadtxt(input_data_path + 'blacklist.txt') # 4- file della chilometrica (temporaneo fino a quando non sarà esposta in ODH) km = pd.read_csv(input_data_path + 'km.csv') # ------------------------------------------------------------------------------ @@ -38,7 +52,8 @@ def copert_emissions(traffic_df): # ------------------------------------------------------------------------------ adt = traffic_df # Eliminazione delle stazioni presenti in black list - adt = adt[~adt.Station.isin(blacklist)] + # no more used after validation algorithm + # adt = adt[~adt.Station.isin(blacklist)] # aggiunta valori di chilometrica al df di input se non è presente adt = pd.merge(adt, km, on='Station', how='left') # trasformazione valore chilometrica da metri a chilometri diff --git a/pollution_v2/src/pollution_connector/model/input/fc_info.csv b/pollution_v2/src/pollution_connector/model/input/fc_info.csv index 3acf2858..b86d9c71 100644 --- a/pollution_v2/src/pollution_connector/model/input/fc_info.csv +++ b/pollution_v2/src/pollution_connector/model/input/fc_info.csv @@ -1,37 +1,37 @@ Category,Fuel,ID_Euro,PercvsADT -LIGHT_VEHICLES,Diesel,0,0.000241822064265109 -LIGHT_VEHICLES,Diesel,1,0.000386683274144897 -LIGHT_VEHICLES,Diesel,2,0.00449164497610123 -LIGHT_VEHICLES,Diesel,3,0.0287317045835918 -LIGHT_VEHICLES,Diesel,4,0.0974259610937283 -LIGHT_VEHICLES,Diesel,5,0.210241155084851 -LIGHT_VEHICLES,Diesel,6,0.424291230982214 -LIGHT_VEHICLES,Electric,E,0.0116697405740457 -LIGHT_VEHICLES,Other,0,2.74436868356659e-05 -LIGHT_VEHICLES,Other,1,3.38100641365434e-05 -LIGHT_VEHICLES,Other,2,0.000370613062918863 -LIGHT_VEHICLES,Other,3,0.000459224075911952 -LIGHT_VEHICLES,Other,4,0.0077839718282387 -LIGHT_VEHICLES,Other,5,0.00721657852731301 -LIGHT_VEHICLES,Other,6,0.0542400635738775 -LIGHT_VEHICLES,Petrol,0,0.0001316805130743 -LIGHT_VEHICLES,Petrol,1,0.000227000451027978 -LIGHT_VEHICLES,Petrol,2,0.00315793643230837 -LIGHT_VEHICLES,Petrol,3,0.00545876306286451 -LIGHT_VEHICLES,Petrol,4,0.0338571682422739 -LIGHT_VEHICLES,Petrol,5,0.0297946325107175 -LIGHT_VEHICLES,Petrol,6,0.0797611713355592 -HEAVY_VEHICLES,Diesel,0,0.00219854488802321 -HEAVY_VEHICLES,Diesel,1,0.00310873272607045 -HEAVY_VEHICLES,Diesel,2,0.0104762860485827 -HEAVY_VEHICLES,Diesel,3,0.0577249741544343 -HEAVY_VEHICLES,Diesel,4,0.0223422262051062 -HEAVY_VEHICLES,Diesel,5,0.147385190622554 -HEAVY_VEHICLES,Diesel,6,0.756759169914438 -BUSES,Diesel,0,0.00219854488802321 -BUSES,Diesel,1,0.00310873272607045 -BUSES,Diesel,2,0.0104762860485827 -BUSES,Diesel,3,0.0577249741544343 -BUSES,Diesel,4,0.0223422262051062 -BUSES,Diesel,5,0.147385190622554 -BUSES,Diesel,6,0.756759169914438 +LIGHT_VEHICLES,Diesel,0,0.000214379897703485 +LIGHT_VEHICLES,Diesel,1,0.00030929189098316 +LIGHT_VEHICLES,Diesel,2,0.00402282118551279 +LIGHT_VEHICLES,Diesel,3,0.0242902313228293 +LIGHT_VEHICLES,Diesel,4,0.0870397089471497 +LIGHT_VEHICLES,Diesel,5,0.188240528403159 +LIGHT_VEHICLES,Diesel,6,0.426867683998488 +LIGHT_VEHICLES,Electric,E,0.0142447404350185 +LIGHT_VEHICLES,Other,0,3.29383334975955e-05 +LIGHT_VEHICLES,Other,1,6.80478350335431e-05 +LIGHT_VEHICLES,Other,2,0.000425401723337025 +LIGHT_VEHICLES,Other,3,0.000527820654786011 +LIGHT_VEHICLES,Other,4,0.00776119609384922 +LIGHT_VEHICLES,Other,5,0.00687157532437525 +LIGHT_VEHICLES,Other,6,0.0761055685684141 +LIGHT_VEHICLES,Petrol,0,0.000219357475119462 +LIGHT_VEHICLES,Petrol,1,0.000269275987941962 +LIGHT_VEHICLES,Petrol,2,0.0030096255051663 +LIGHT_VEHICLES,Petrol,3,0.00476009262192492 +LIGHT_VEHICLES,Petrol,4,0.0319028047554449 +LIGHT_VEHICLES,Petrol,5,0.0280720733660881 +LIGHT_VEHICLES,Petrol,6,0.0947448356741777 +HEAVY_VEHICLES,Diesel,0,0.00079110663417399 +HEAVY_VEHICLES,Diesel,1,0.00264772203607586 +HEAVY_VEHICLES,Diesel,2,0.00602078694161981 +HEAVY_VEHICLES,Diesel,3,0.0331587554028517 +HEAVY_VEHICLES,Diesel,4,0.0136138190032933 +HEAVY_VEHICLES,Diesel,5,0.0979810419342262 +HEAVY_VEHICLES,Diesel,6,0.845781804103869 +BUSES,Diesel,0,0.00079110663417399 +BUSES,Diesel,1,0.00264772203607586 +BUSES,Diesel,2,0.00602078694161981 +BUSES,Diesel,3,0.0331587554028517 +BUSES,Diesel,4,0.0136138190032933 +BUSES,Diesel,5,0.0979810419342262 +BUSES,Diesel,6,0.845781804103869 diff --git a/pollution_v2/src/pollution_connector/model/input/fc_info_2018.csv b/pollution_v2/src/pollution_connector/model/input/fc_info_2018.csv new file mode 100644 index 00000000..2cfac617 --- /dev/null +++ b/pollution_v2/src/pollution_connector/model/input/fc_info_2018.csv @@ -0,0 +1,37 @@ +Category,Fuel,ID_Euro,PercvsADT +LIGHT_VEHICLES,Diesel,0,0.00315373716057055 +LIGHT_VEHICLES,Diesel,1,0.000535526014586567 +LIGHT_VEHICLES,Diesel,2,0.00814595167482449 +LIGHT_VEHICLES,Diesel,3,0.0497884945638345 +LIGHT_VEHICLES,Diesel,4,0.144711746280236 +LIGHT_VEHICLES,Diesel,5,0.264723210881215 +LIGHT_VEHICLES,Diesel,6,0.33986821474724 +LIGHT_VEHICLES,Electric,E,0.00139075018605681 +LIGHT_VEHICLES,Other,0,0.000183526464231699 +LIGHT_VEHICLES,Other,1,7.40641562750785e-05 +LIGHT_VEHICLES,Other,2,0.000690415898750159 +LIGHT_VEHICLES,Other,3,0.00120365054667879 +LIGHT_VEHICLES,Other,4,0.0152079307440584 +LIGHT_VEHICLES,Other,5,0.0129457653267266 +LIGHT_VEHICLES,Other,6,0.0219607621476775 +LIGHT_VEHICLES,Petrol,0,0.000539825630975407 +LIGHT_VEHICLES,Petrol,1,0.0004013611203805 +LIGHT_VEHICLES,Petrol,2,0.00580989568151267 +LIGHT_VEHICLES,Petrol,3,0.00886878056283796 +LIGHT_VEHICLES,Petrol,4,0.0451442587972686 +LIGHT_VEHICLES,Petrol,5,0.0328830520902129 +LIGHT_VEHICLES,Petrol,6,0.0417690793238492 +HEAVY_VEHICLES,Diesel,0,0.00397153133118518 +HEAVY_VEHICLES,Diesel,1,0.00863986214795761 +HEAVY_VEHICLES,Diesel,2,0.0184659925231573 +HEAVY_VEHICLES,Diesel,3,0.0931045720821741 +HEAVY_VEHICLES,Diesel,4,0.0396065328827783 +HEAVY_VEHICLES,Diesel,5,0.234821337953264 +HEAVY_VEHICLES,Diesel,6,0.601384918222587 +BUSES,Diesel,0,0.00397153133118518 +BUSES,Diesel,1,0.00863986214795761 +BUSES,Diesel,2,0.0184659925231573 +BUSES,Diesel,3,0.0931045720821741 +BUSES,Diesel,4,0.0396065328827783 +BUSES,Diesel,5,0.234821337953264 +BUSES,Diesel,6,0.601384918222587 diff --git a/pollution_v2/src/pollution_connector/model/input/fc_info_2019.csv b/pollution_v2/src/pollution_connector/model/input/fc_info_2019.csv new file mode 100644 index 00000000..37596aa8 --- /dev/null +++ b/pollution_v2/src/pollution_connector/model/input/fc_info_2019.csv @@ -0,0 +1,37 @@ +Category,Fuel,ID_Euro,PercvsADT +LIGHT_VEHICLES,Diesel,0,0.000161643910536306 +LIGHT_VEHICLES,Diesel,1,0.000367526903742297 +LIGHT_VEHICLES,Diesel,2,0.00650172409133296 +LIGHT_VEHICLES,Diesel,3,0.0397304907462512 +LIGHT_VEHICLES,Diesel,4,0.132236950222354 +LIGHT_VEHICLES,Diesel,5,0.237963926914685 +LIGHT_VEHICLES,Diesel,6,0.40436181264844 +LIGHT_VEHICLES,Electric,E,0.00219138246597581 +LIGHT_VEHICLES,Other,0,2.81176488806292e-05 +LIGHT_VEHICLES,Other,1,4.71596145077654e-05 +LIGHT_VEHICLES,Other,2,0.000275760676395458 +LIGHT_VEHICLES,Other,3,0.000487089276187 +LIGHT_VEHICLES,Other,4,0.00719865425046988 +LIGHT_VEHICLES,Other,5,0.00616714272512733 +LIGHT_VEHICLES,Other,6,0.0170653020138323 +LIGHT_VEHICLES,Petrol,0,0.000172806004497964 +LIGHT_VEHICLES,Petrol,1,0.000275275657586754 +LIGHT_VEHICLES,Petrol,2,0.00448127811970331 +LIGHT_VEHICLES,Petrol,3,0.00738972185983499 +LIGHT_VEHICLES,Petrol,4,0.0417652544120225 +LIGHT_VEHICLES,Petrol,5,0.0317427435935831 +LIGHT_VEHICLES,Petrol,6,0.059388236244053 +HEAVY_VEHICLES,Diesel,0,0.00175717007804971 +HEAVY_VEHICLES,Diesel,1,0.00370509957081817 +HEAVY_VEHICLES,Diesel,2,0.015654268456152 +HEAVY_VEHICLES,Diesel,3,0.0771126834158609 +HEAVY_VEHICLES,Diesel,4,0.0359159203767047 +HEAVY_VEHICLES,Diesel,5,0.197373970381524 +HEAVY_VEHICLES,Diesel,6,0.514914991688751 +BUSES,Diesel,0,0.00175717007804971 +BUSES,Diesel,1,0.00370509957081817 +BUSES,Diesel,2,0.015654268456152 +BUSES,Diesel,3,0.0771126834158609 +BUSES,Diesel,4,0.0359159203767047 +BUSES,Diesel,5,0.197373970381524 +BUSES,Diesel,6,0.514914991688751 diff --git a/pollution_v2/src/pollution_connector/model/input/fc_info_2020.csv b/pollution_v2/src/pollution_connector/model/input/fc_info_2020.csv new file mode 100644 index 00000000..929ed02f --- /dev/null +++ b/pollution_v2/src/pollution_connector/model/input/fc_info_2020.csv @@ -0,0 +1,37 @@ +Category,Fuel,ID_Euro,PercvsADT +LIGHT_VEHICLES,Diesel,0,0.000201371343231942 +LIGHT_VEHICLES,Diesel,1,0.000333562265136394 +LIGHT_VEHICLES,Diesel,2,0.00518014140268538 +LIGHT_VEHICLES,Diesel,3,0.0347379790415956 +LIGHT_VEHICLES,Diesel,4,0.113465059284225 +LIGHT_VEHICLES,Diesel,5,0.225800695456345 +LIGHT_VEHICLES,Diesel,6,0.407459081074657 +LIGHT_VEHICLES,Electric,E,0.00621240637968145 +LIGHT_VEHICLES,Other,0,9.68107453739452e-06 +LIGHT_VEHICLES,Other,1,4.151808998238e-05 +LIGHT_VEHICLES,Other,2,0.000407147590618348 +LIGHT_VEHICLES,Other,3,0.000725823000681404 +LIGHT_VEHICLES,Other,4,0.00997830640234669 +LIGHT_VEHICLES,Other,5,0.00845512919101683 +LIGHT_VEHICLES,Other,6,0.0377434420342856 +LIGHT_VEHICLES,Petrol,0,0.000131710826345926 +LIGHT_VEHICLES,Petrol,1,0.000314378846693473 +LIGHT_VEHICLES,Petrol,2,0.00421888224638337 +LIGHT_VEHICLES,Petrol,3,0.0067829541969875 +LIGHT_VEHICLES,Petrol,4,0.0383835645210496 +LIGHT_VEHICLES,Petrol,5,0.0302758018906234 +LIGHT_VEHICLES,Petrol,6,0.0691413638408908 +HEAVY_VEHICLES,Diesel,0,0.0025162884273068 +HEAVY_VEHICLES,Diesel,1,0.00678218465236991 +HEAVY_VEHICLES,Diesel,2,0.015794754612535 +HEAVY_VEHICLES,Diesel,3,0.0755624723732345 +HEAVY_VEHICLES,Diesel,4,0.0294464724110195 +HEAVY_VEHICLES,Diesel,5,0.170180190432326 +HEAVY_VEHICLES,Diesel,6,0.699717637091209 +BUSES,Diesel,0,0.0025162884273068 +BUSES,Diesel,1,0.00678218465236991 +BUSES,Diesel,2,0.015794754612535 +BUSES,Diesel,3,0.0755624723732345 +BUSES,Diesel,4,0.0294464724110195 +BUSES,Diesel,5,0.170180190432326 +BUSES,Diesel,6,0.699717637091209 diff --git a/pollution_v2/src/pollution_connector/model/input/fc_info_2021.csv b/pollution_v2/src/pollution_connector/model/input/fc_info_2021.csv new file mode 100644 index 00000000..3acf2858 --- /dev/null +++ b/pollution_v2/src/pollution_connector/model/input/fc_info_2021.csv @@ -0,0 +1,37 @@ +Category,Fuel,ID_Euro,PercvsADT +LIGHT_VEHICLES,Diesel,0,0.000241822064265109 +LIGHT_VEHICLES,Diesel,1,0.000386683274144897 +LIGHT_VEHICLES,Diesel,2,0.00449164497610123 +LIGHT_VEHICLES,Diesel,3,0.0287317045835918 +LIGHT_VEHICLES,Diesel,4,0.0974259610937283 +LIGHT_VEHICLES,Diesel,5,0.210241155084851 +LIGHT_VEHICLES,Diesel,6,0.424291230982214 +LIGHT_VEHICLES,Electric,E,0.0116697405740457 +LIGHT_VEHICLES,Other,0,2.74436868356659e-05 +LIGHT_VEHICLES,Other,1,3.38100641365434e-05 +LIGHT_VEHICLES,Other,2,0.000370613062918863 +LIGHT_VEHICLES,Other,3,0.000459224075911952 +LIGHT_VEHICLES,Other,4,0.0077839718282387 +LIGHT_VEHICLES,Other,5,0.00721657852731301 +LIGHT_VEHICLES,Other,6,0.0542400635738775 +LIGHT_VEHICLES,Petrol,0,0.0001316805130743 +LIGHT_VEHICLES,Petrol,1,0.000227000451027978 +LIGHT_VEHICLES,Petrol,2,0.00315793643230837 +LIGHT_VEHICLES,Petrol,3,0.00545876306286451 +LIGHT_VEHICLES,Petrol,4,0.0338571682422739 +LIGHT_VEHICLES,Petrol,5,0.0297946325107175 +LIGHT_VEHICLES,Petrol,6,0.0797611713355592 +HEAVY_VEHICLES,Diesel,0,0.00219854488802321 +HEAVY_VEHICLES,Diesel,1,0.00310873272607045 +HEAVY_VEHICLES,Diesel,2,0.0104762860485827 +HEAVY_VEHICLES,Diesel,3,0.0577249741544343 +HEAVY_VEHICLES,Diesel,4,0.0223422262051062 +HEAVY_VEHICLES,Diesel,5,0.147385190622554 +HEAVY_VEHICLES,Diesel,6,0.756759169914438 +BUSES,Diesel,0,0.00219854488802321 +BUSES,Diesel,1,0.00310873272607045 +BUSES,Diesel,2,0.0104762860485827 +BUSES,Diesel,3,0.0577249741544343 +BUSES,Diesel,4,0.0223422262051062 +BUSES,Diesel,5,0.147385190622554 +BUSES,Diesel,6,0.756759169914438 diff --git a/pollution_v2/src/pollution_connector/model/input/fc_info_2022.csv b/pollution_v2/src/pollution_connector/model/input/fc_info_2022.csv new file mode 100644 index 00000000..b86d9c71 --- /dev/null +++ b/pollution_v2/src/pollution_connector/model/input/fc_info_2022.csv @@ -0,0 +1,37 @@ +Category,Fuel,ID_Euro,PercvsADT +LIGHT_VEHICLES,Diesel,0,0.000214379897703485 +LIGHT_VEHICLES,Diesel,1,0.00030929189098316 +LIGHT_VEHICLES,Diesel,2,0.00402282118551279 +LIGHT_VEHICLES,Diesel,3,0.0242902313228293 +LIGHT_VEHICLES,Diesel,4,0.0870397089471497 +LIGHT_VEHICLES,Diesel,5,0.188240528403159 +LIGHT_VEHICLES,Diesel,6,0.426867683998488 +LIGHT_VEHICLES,Electric,E,0.0142447404350185 +LIGHT_VEHICLES,Other,0,3.29383334975955e-05 +LIGHT_VEHICLES,Other,1,6.80478350335431e-05 +LIGHT_VEHICLES,Other,2,0.000425401723337025 +LIGHT_VEHICLES,Other,3,0.000527820654786011 +LIGHT_VEHICLES,Other,4,0.00776119609384922 +LIGHT_VEHICLES,Other,5,0.00687157532437525 +LIGHT_VEHICLES,Other,6,0.0761055685684141 +LIGHT_VEHICLES,Petrol,0,0.000219357475119462 +LIGHT_VEHICLES,Petrol,1,0.000269275987941962 +LIGHT_VEHICLES,Petrol,2,0.0030096255051663 +LIGHT_VEHICLES,Petrol,3,0.00476009262192492 +LIGHT_VEHICLES,Petrol,4,0.0319028047554449 +LIGHT_VEHICLES,Petrol,5,0.0280720733660881 +LIGHT_VEHICLES,Petrol,6,0.0947448356741777 +HEAVY_VEHICLES,Diesel,0,0.00079110663417399 +HEAVY_VEHICLES,Diesel,1,0.00264772203607586 +HEAVY_VEHICLES,Diesel,2,0.00602078694161981 +HEAVY_VEHICLES,Diesel,3,0.0331587554028517 +HEAVY_VEHICLES,Diesel,4,0.0136138190032933 +HEAVY_VEHICLES,Diesel,5,0.0979810419342262 +HEAVY_VEHICLES,Diesel,6,0.845781804103869 +BUSES,Diesel,0,0.00079110663417399 +BUSES,Diesel,1,0.00264772203607586 +BUSES,Diesel,2,0.00602078694161981 +BUSES,Diesel,3,0.0331587554028517 +BUSES,Diesel,4,0.0136138190032933 +BUSES,Diesel,5,0.0979810419342262 +BUSES,Diesel,6,0.845781804103869 diff --git a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py index 83642775..1f9cb67a 100644 --- a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py +++ b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py @@ -90,7 +90,11 @@ def compute_data(self, validation: ValidationMeasureCollection, if len(traffic_entries) > 0: traffic_df = ModelHelper.get_traffic_dataframe(traffic_entries, run_on_datetimes) - pollution_df = copert_emissions(traffic_df) + try: + year = sorted({date.strftime("%Y") for date in run_on_datetimes})[-1] + except: + year = '' + pollution_df = copert_emissions(traffic_df, year) return self._get_pollution_entries_from_df(pollution_df, traffic.get_stations()) else: logger.info("0 validated entries found skipping pollution computation") From 26f94de050c828914cc13c8f224d772bcaccb081 Mon Sep 17 00:00:00 2001 From: rcavaliere Date: Mon, 3 Jun 2024 23:03:14 +0200 Subject: [PATCH 099/154] Fix calibration curve AQ12 Can you please delete the processed data for this sensor and then integrate this PR, so that we have them the elaborations correct? --- .../src/processorParameters.csv | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/environment-a22-non-linear-calibration/src/processorParameters.csv b/environment-a22-non-linear-calibration/src/processorParameters.csv index f32a7a27..8158c29b 100644 --- a/environment-a22-non-linear-calibration/src/processorParameters.csv +++ b/environment-a22-non-linear-calibration/src/processorParameters.csv @@ -33,7 +33,7 @@ AIRQ08,14,20,,,9604,0.1538,-77.05,0.007015,-0.000002289,0,2 AIRQ09,14,20,,,-1691,0.002606,5.126,-0.01031,-0.000009659,0,2 AIRQ10,14,20,,,1462,0.01865,-10.48,0.07055,0.000003153,0,2 AIRQ11,14,20,,,9023,0.1123,-63.71,0.04524,0.000002328,0,2 -AIRQ12,14,20,,,-1424,-0.01395,8.977,0.04727,-0.000001084,0,2 +AIRQ12,14,20,,,4332,0.05299,-30.31,0.0572,0.000001818,0,2 AIRQ13,14,20,,,432.7,0.01123,-4.786,0.06725,0.000004037,0,2 AIRQ14,14,20,,,1701,0.03242,-15.2,0.05827,0.000005228,0,2 AIRQ15,14,20,,,7056,0.09509,-51.84,0.0413,0.0000009993,0,2 From b1ec9a475e9f8c4dcee8357ba0256ceb9a9dff52 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Tue, 4 Jun 2024 16:48:35 +0200 Subject: [PATCH 100/154] pollution_v2: every date is treated as localized - issue #25 --- pollution_v2/src/common/manager/traffic_station.py | 2 +- pollution_v2/src/dags/aiaas_pollution_computer.py | 4 ++-- pollution_v2/src/dags/aiaas_validator.py | 2 +- pollution_v2/src/tests/test_pollution_connector_dag.py | 2 +- pollution_v2/src/tests/test_pollution_connector_tasks.py | 2 +- pollution_v2/src/tests/test_validator_dag.py | 2 +- pollution_v2/src/tests/test_validator_tasks.py | 2 +- 7 files changed, 8 insertions(+), 8 deletions(-) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index dba039f6..1e01b4ca 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -83,7 +83,7 @@ def _get_latest_date(self, connector: ODHBaseConnector, stations: List[TrafficSe for station in stations: measures = connector.get_latest_measures(station=station) latest_date = max(list(map(lambda m: m.valid_time, measures)), - default=DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE)) + default=ODH_MINIMUM_STARTING_DATE) if latest_date_across_stations is None or latest_date > latest_date_across_stations: latest_date_across_stations = latest_date return latest_date_across_stations diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index 72e81b86..3730b66e 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -28,7 +28,7 @@ default_args = { 'owner': 'airflow', 'depends_on_past': False, - 'start_date': DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE), + 'start_date': ODH_MINIMUM_STARTING_DATE, 'email': ['airflow@example.com'], 'email_on_failure': False, 'email_on_retry': False, @@ -47,7 +47,7 @@ schedule=DAG_POLLUTION_EXECUTION_CRONTAB, # execution date starting at (if needed, backfill) - start_date=DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE), + start_date=ODH_MINIMUM_STARTING_DATE, # if True, the scheduler creates a DAG Run for each completed interval between start_date and end_date # and the scheduler will execute them sequentially diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py index 43544de2..02314deb 100644 --- a/pollution_v2/src/dags/aiaas_validator.py +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -47,7 +47,7 @@ schedule=DAG_VALIDATION_EXECUTION_CRONTAB, # execution date starting at (if needed, backfill) - start_date=DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE), + start_date=ODH_MINIMUM_STARTING_DATE, # if True, the scheduler creates a DAG Run for each completed interval between start_date and end_date # and the scheduler will execute them sequentially diff --git a/pollution_v2/src/tests/test_pollution_connector_dag.py b/pollution_v2/src/tests/test_pollution_connector_dag.py index 0cea8d5a..ef73d78d 100644 --- a/pollution_v2/src/tests/test_pollution_connector_dag.py +++ b/pollution_v2/src/tests/test_pollution_connector_dag.py @@ -59,8 +59,8 @@ def test_pollution_computer_dag_starting_date(self): assert starting_date == Variable.get("ODH_MINIMUM_STARTING_DATE") parsed_date = dateutil.parser.parse(starting_date) - assert parsed_date == settings.ODH_MINIMUM_STARTING_DATE parsed_date = DEFAULT_TIMEZONE.localize(parsed_date) + assert parsed_date == settings.ODH_MINIMUM_STARTING_DATE # Importing the dag after the settings have been reloaded from dags.aiaas_pollution_computer import dag as pollution_computer_dag diff --git a/pollution_v2/src/tests/test_pollution_connector_tasks.py b/pollution_v2/src/tests/test_pollution_connector_tasks.py index d0990545..29bcf014 100644 --- a/pollution_v2/src/tests/test_pollution_connector_tasks.py +++ b/pollution_v2/src/tests/test_pollution_connector_tasks.py @@ -162,5 +162,5 @@ def test_init_date_range(self): min_from_date, max_to_date = dag.init_date_range(None, None) # Test that the returned date range is correct - self.assertEqual(min_from_date, DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE)) + self.assertEqual(min_from_date, ODH_MINIMUM_STARTING_DATE) assert max_to_date > min_from_date diff --git a/pollution_v2/src/tests/test_validator_dag.py b/pollution_v2/src/tests/test_validator_dag.py index f687c50b..62bbc031 100644 --- a/pollution_v2/src/tests/test_validator_dag.py +++ b/pollution_v2/src/tests/test_validator_dag.py @@ -58,8 +58,8 @@ def test_pollution_computer_dag_starting_date(self): assert starting_date == Variable.get("ODH_MINIMUM_STARTING_DATE") parsed_date = dateutil.parser.parse(starting_date) - assert parsed_date == settings.ODH_MINIMUM_STARTING_DATE parsed_date = DEFAULT_TIMEZONE.localize(parsed_date) + assert parsed_date == settings.ODH_MINIMUM_STARTING_DATE # Importing the dag after the settings have been reloaded from dags.aiaas_pollution_computer import dag as pollution_computer_dag diff --git a/pollution_v2/src/tests/test_validator_tasks.py b/pollution_v2/src/tests/test_validator_tasks.py index f0a442c4..1c810b91 100644 --- a/pollution_v2/src/tests/test_validator_tasks.py +++ b/pollution_v2/src/tests/test_validator_tasks.py @@ -162,5 +162,5 @@ def test_init_date_range(self): min_from_date, max_to_date = dag.init_date_range(None, None) # Test that the returned date range is correct - self.assertEqual(min_from_date, DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE)) + self.assertEqual(min_from_date, ODH_MINIMUM_STARTING_DATE) assert max_to_date > min_from_date From 4544c0c506b784a44339030a9fb2a4f6545b4e0c Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Tue, 4 Jun 2024 17:01:17 +0200 Subject: [PATCH 101/154] pollution_v2: further check on data availability before executing pollution + better check on dates as starting/ending/trigger_next_execution - issue #25 --- .../src/common/manager/traffic_station.py | 89 ++++++++++++------- pollution_v2/src/common/settings.py | 1 + pollution_v2/src/dags/common.py | 11 ++- .../model/pollution_computation_model.py | 2 +- 4 files changed, 65 insertions(+), 38 deletions(-) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 1e01b4ca..47df36d1 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -129,38 +129,50 @@ def _iterate_while_data_found(self, output_connector: ODHBaseConnector, input_co def _get_starting_date_inner(self, output_connector: ODHBaseConnector, input_connector: ODHBaseConnector, station: TrafficSensorStation, min_from_date: datetime, - batch_size: int) -> Tuple[datetime, bool]: - - latest_measure = self.__get_latest_measure(output_connector, station) - - if latest_measure is None: - logger.info(f"No measures available on [{type(output_connector).__name__}] for [{station.code}]") - if self._checkpoint_cache is not None: - checkpoint = self._checkpoint_cache.get( - ComputationCheckpoint.get_id_for_station(station, self._get_manager_code())) - if checkpoint is not None: - logger.info(f"Found checkpoint date [{checkpoint.checkpoint_dt}] " - f"on [{type(output_connector).__name__}], " - f"candidate as starting date for [{station.code}]") - from_date = checkpoint.checkpoint_dt + batch_size: int) -> Tuple[datetime | None, bool]: + + inconn_str = type(input_connector).__name__ + outconn_str = type(output_connector).__name__ + + latest_output_measure = self.__get_latest_measure(output_connector, station) + + checkpoint = None + checkpoint_dt = None + if self._checkpoint_cache: + checkpoint = self._checkpoint_cache.get( + ComputationCheckpoint.get_id_for_station(station, self._get_manager_code())) + if checkpoint: + checkpoint_dt = checkpoint.checkpoint_dt + + # if there are no input measures, wait for it returning None + if input_connector and not self.__get_latest_measure(input_connector, station): + logger.info(f"No measures available on [{inconn_str}] for [{station.code}]") + return None, False + elif latest_output_measure is None: + logger.info(f"No measures available on [{outconn_str}] for [{station.code}]") + if checkpoint: + if checkpoint_dt: + logger.info(f"Found checkpoint date [{checkpoint_dt}] on [{outconn_str}], candidate as starting date for [{station.code}]") + from_date = checkpoint_dt else: - # If there isn't any latest measure available, - # the min_from_date is used as starting date for the batch - logger.info(f"No checkpoint on [{type(output_connector).__name__}], " - f"candidate as starting date for [{station.code}] is min date [{min_from_date}]") + # If there isn't any latest measure available, the min_from_date is used as starting date for the batch + logger.info(f"No checkpoint on [{outconn_str}], candidate as starting date for [{station.code}] is min date [{min_from_date}]") from_date = min_from_date # if between from_date and from_date + batch_size there are no input data to_date_tmp = from_date + timedelta(days=batch_size) + if to_date_tmp is not None and to_date_tmp.tzinfo is None: + to_date_tmp = DEFAULT_TIMEZONE.localize(to_date_tmp) if input_connector is not None: input_data = (input_connector. get_measures(from_date=from_date, to_date=to_date_tmp, station=station)) - logger.info(f"Looking on measures available on [{type(input_connector).__name__}] " - f"for [{station.code}]: found {len(input_data)}") + logger.info(f"Looking on measures available on [{inconn_str}] for [{station.code}]: found {len(input_data)}") else: input_data = [] if len(input_data) == 0: if checkpoint is None or checkpoint.checkpoint_dt is None or checkpoint.checkpoint_dt < to_date_tmp: # it is pointless trying to run model, save the from_date + batch_size as checkpoint for station + logger.info( + f"Caching [{to_date_tmp}] for station [{station.code}] on manager [{self._get_manager_code()}]") self._checkpoint_cache.set( ComputationCheckpoint( station_code=station.code, @@ -174,13 +186,16 @@ def _get_starting_date_inner(self, output_connector: ODHBaseConnector, input_con else: return self.__normalize_from_date(from_date, min_from_date, station.code) else: - # If there isn't any latest measure available, - # the min_from_date is used as starting date for the batch + # If there isn't any latest measure available, the min_from_date is used as starting date for the batch logger.info(f"No measures, using min date [{min_from_date}] as starting date for [{station.code}]") from_date = min_from_date else: - logger.debug(f"Measures found, using min date [{latest_measure.valid_time}] as starting date for [{station.code}]") - from_date = latest_measure.valid_time + if checkpoint_dt and checkpoint_dt > latest_output_measure.valid_time: + logger.info(f"Found checkpoint date [{checkpoint_dt}] on [{outconn_str}], candidate as starting date for [{station.code}]") + from_date = checkpoint_dt + else: + logger.info(f"Measures found, using min date [{latest_output_measure.valid_time}] as starting date for [{station.code}]") + from_date = latest_output_measure.valid_time return self.__normalize_from_date(from_date, min_from_date, station.code) @@ -304,7 +319,7 @@ def run_computation(self, # Detect inactive stations: # If we're about to request more than one window of measurements, do a check first if there even is any new data - if (max_to_date - start_date).days > batch_size: + if start_date is not None and (max_to_date - start_date).days > batch_size: latest_measurement_date = self._get_latest_date(self.get_input_connector(), stations) # traffic data request range end is the latest measurement # For inactive stations, this latest measurement date will be < start_date, @@ -316,14 +331,18 @@ def run_computation(self, to_date = start_date - if start_date == max_to_date: + if start_date is None or start_date == max_to_date: logger.info(f"Not computing data for stations {_get_stations_on_logs(stations)} in interval " - f"[{start_date.isoformat()} - {to_date.isoformat()}] (no timespan)") + f"[{start_date.isoformat() if start_date else 'no-date'} - " + f"{to_date.isoformat() if to_date else 'no-date'}] (no timespan)") elif start_date < max_to_date: to_date = to_date + timedelta(days=batch_size) if to_date > max_to_date: to_date = max_to_date + if to_date is not None and to_date.tzinfo is None: + to_date = DEFAULT_TIMEZONE.localize(to_date) + logger.info(f"Computing data for stations {_get_stations_on_logs(stations)} in interval " f"[{start_date.isoformat()} - {to_date.isoformat()}]") @@ -338,12 +357,12 @@ def run_computation(self, for station in stations: checkpoint = self._checkpoint_cache.get( ComputationCheckpoint.get_id_for_station(station, self._get_manager_code())) - if (checkpoint is not None and - checkpoint.checkpoint_dt is not None and checkpoint.checkpoint_dt.tzinfo is None): - checkpoint.checkpoint_dt = DEFAULT_TIMEZONE.localize(checkpoint.checkpoint_dt) - if to_date is not None and to_date.tzinfo is None: - to_date = DEFAULT_TIMEZONE.localize(to_date) - if checkpoint is None or checkpoint.checkpoint_dt < to_date: + if checkpoint and checkpoint.checkpoint_dt: + logger.info(f"Cache found for station [{station.code}] on manager [{self._get_manager_code()}]: " + f"[{checkpoint.checkpoint_dt}]; comparing with {to_date}") + if checkpoint is None or checkpoint.checkpoint_dt is None or checkpoint.checkpoint_dt < to_date: + logger.info( + f"Caching [{to_date}] for station [{station.code}] on manager [{self._get_manager_code()}]") self._checkpoint_cache.set( ComputationCheckpoint( station_code=station.code, @@ -351,6 +370,10 @@ def run_computation(self, manager_code=self._get_manager_code() ) ) + else: + logger.info(f"Cache available but cache writing skipped.") + else: + logger.info(f"Cache unavailable, unable to cache date.") else: logger.info(f"Nothing to process for stations {_get_stations_on_logs(stations)} in interval " f"[{start_date} - {to_date}]") diff --git a/pollution_v2/src/common/settings.py b/pollution_v2/src/common/settings.py index 3795e355..13528b07 100644 --- a/pollution_v2/src/common/settings.py +++ b/pollution_v2/src/common/settings.py @@ -35,6 +35,7 @@ ODH_PAGINATION_SIZE = int(Variable.get("ODH_PAGINATION_SIZE", 200)) ODH_MAX_POST_BATCH_SIZE = int(Variable.get("ODH_MAX_POST_BATCH_SIZE")) if Variable.get("ODH_MAX_POST_BATCH_SIZE") else None ODH_MINIMUM_STARTING_DATE = dateutil.parser.parse(Variable.get("ODH_MINIMUM_STARTING_DATE", "2018-01-01")) +ODH_MINIMUM_STARTING_DATE = DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE) ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION = int(Variable.get("ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION", 30)) ODH_COMPUTATION_BATCH_SIZE_VALIDATION = int(Variable.get("ODH_COMPUTATION_BATCH_SIZE_VALIDATION", 1)) DAG_POLLUTION_EXECUTION_CRONTAB = Variable.get("DAG_POLLUTION_EXECUTION_CRONTAB", "0 0 * * *") diff --git a/pollution_v2/src/dags/common.py b/pollution_v2/src/dags/common.py index b6dbf3a0..ec8aff9d 100644 --- a/pollution_v2/src/dags/common.py +++ b/pollution_v2/src/dags/common.py @@ -103,10 +103,13 @@ def trigger_next_dag_run(manager: TrafficStationManager, originator_dag: DAG, [station], ODH_MINIMUM_STARTING_DATE, batch_size) ending_date = manager.get_starting_date(manager.get_input_connector(), None, [station], ODH_MINIMUM_STARTING_DATE, batch_size) - logger.info(f"Check if [{station.code}] has more data on dates ranging from [{starting_date}] to [{ending_date}]") - if has_remaining_data(starting_date, ending_date): - logger.info(f"Forwarding station {station.code} to next execution") - stations.append(station.code) + if starting_date is None: + logger.info(f"Nothing to process on {station.code}, not forwarded to next execution") + else: + logger.info(f"Check if [{station.code}] has more data on dates ranging from [{starting_date}] to [{ending_date}]") + if has_remaining_data(starting_date, ending_date): + logger.info(f"Forwarding station {station.code} to next execution") + stations.append(station.code) # True if on ODH there are lots of data to be processed (e.g. new station with old unprocessed data) run_again = len(stations) > 0 diff --git a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py index 1f9cb67a..cf356928 100644 --- a/pollution_v2/src/pollution_connector/model/pollution_computation_model.py +++ b/pollution_v2/src/pollution_connector/model/pollution_computation_model.py @@ -88,7 +88,7 @@ def compute_data(self, validation: ValidationMeasureCollection, traffic_entries = traffic.get_entries() - if len(traffic_entries) > 0: + if len(run_on_datetimes) > 0 and len(traffic_entries) > 0: traffic_df = ModelHelper.get_traffic_dataframe(traffic_entries, run_on_datetimes) try: year = sorted({date.strftime("%Y") for date in run_on_datetimes})[-1] From f8fc866ea458af2f96fdf26ce6fee28dd7b6b807 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 7 Jun 2024 18:03:39 +0200 Subject: [PATCH 102/154] =?UTF-8?q?pollution=5Fv2:=20more=20logs=20+=20par?= =?UTF-8?q?ameter=20=E2=80=98keep=5Flooking=5Ffor=5Finput=5Fdata=E2=80=99?= =?UTF-8?q?=20to=20determine=20if=20process=20should=20keep=20looking=20fo?= =?UTF-8?q?r=20data=20if=20any=20available=20in=20period=20considered=20+?= =?UTF-8?q?=20different=20logic=20to=20retrieve=20starting=20date=20to=20d?= =?UTF-8?q?iscriminate=20between=20=E2=80=98there=20are=20no=20data=20to?= =?UTF-8?q?=20process,=20wait=20for=20them=20(pollution)=E2=80=99=20and=20?= =?UTF-8?q?=E2=80=98there=20are=20no=20data=20to=20process,=20keep=20looki?= =?UTF-8?q?ng=20for=20in=20the=20future=20(validation)=E2=80=99=20+=20upda?= =?UTF-8?q?te=20for=20create=5Fdata=5Ftype=20based=20on=20boolean=20-=20is?= =?UTF-8?q?sue=20#25?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- pollution_v2/src/common/connector/common.py | 9 +++ .../src/common/manager/traffic_station.py | 75 +++++++++++-------- .../src/dags/aiaas_pollution_computer.py | 2 +- pollution_v2/src/dags/aiaas_validator.py | 3 +- pollution_v2/src/dags/common.py | 4 +- 5 files changed, 58 insertions(+), 35 deletions(-) diff --git a/pollution_v2/src/common/connector/common.py b/pollution_v2/src/common/connector/common.py index eb2db066..a1061a4f 100644 --- a/pollution_v2/src/common/connector/common.py +++ b/pollution_v2/src/common/connector/common.py @@ -399,6 +399,11 @@ def _post_request(self, path: str, raw_data: dict or list, while call_counter <= self._requests_max_retries: call_counter += 1 try: + logger.debug("posting...") + logger.debug(f"where: {self._base_writer_url}{path}") + logger.debug(f"what: {raw_data}") + logger.debug(f"with: {self._get_authentication_header(token)}") + logger.debug(f"param: {query_params}") response = requests.post( f"{self._base_writer_url}{path}", json=raw_data, @@ -408,12 +413,16 @@ def _post_request(self, path: str, raw_data: dict or list, ) if response.status_code in [200, 201]: try: # ODH seems that id not returning a json for post requests but a string + logger.debug(f"Response code is {response.status_code}, response is {response.json()}") return response.json() except requests.exceptions.JSONDecodeError: + logger.debug(f"Response code is {response.status_code}, error decoding json: {response.text}") return response.text else: + logger.debug(f"Response code is {response.status_code}, considered as error!") raise ApiException(message=response.content.decode("utf-8"), code=response.status_code) except ApiException as e: + logger.exception("API Exception in getting data from ODH", exc_info=e) raise e except Exception as e: logger.exception("Exception in getting data from ODH", exc_info=e) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index 47df36d1..f305e435 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -90,7 +90,7 @@ def _get_latest_date(self, connector: ODHBaseConnector, stations: List[TrafficSe def get_starting_date(self, output_connector: ODHBaseConnector, input_connector: ODHBaseConnector | None, stations: List[TrafficSensorStation], min_from_date: datetime, - batch_size: int) -> datetime: + batch_size: int, keep_looking_for_input_data: bool) -> datetime: """ Returns the starting date for further processing, even managing some fallback values if necessary. @@ -99,6 +99,9 @@ def get_starting_date(self, output_connector: ODHBaseConnector, input_connector: :param stations: The list of traffic stations to query. :param min_from_date: The minimum date to start from. :param batch_size: The size of the batch (in days) to be extracted. + :param keep_looking_for_input_data: If input data has no data, updates checkpoin and goes on looking for data: + Useful to find the first traffic data for a station on validation + To be avoided when there are no validation data on pollution (wait for them) :return: Computation starting date. """ @@ -107,7 +110,8 @@ def get_starting_date(self, output_connector: ODHBaseConnector, input_connector: from_date_across_stations = None for station in stations: from_date = self._iterate_while_data_found(output_connector, input_connector, - station, min_from_date, batch_size) + station, min_from_date, batch_size, + keep_looking_for_input_data) if from_date is not None and from_date.tzinfo is None: from_date = DEFAULT_TIMEZONE.localize(from_date) @@ -120,40 +124,37 @@ def get_starting_date(self, output_connector: ODHBaseConnector, input_connector: def _iterate_while_data_found(self, output_connector: ODHBaseConnector, input_connector: ODHBaseConnector, station: TrafficSensorStation, min_from_date: datetime, - batch_size: int) -> datetime: + batch_size: int, keep_looking_for_input_data: bool) -> datetime: from_date, keep_going = min_from_date, True while keep_going and from_date < datetime.now(from_date.tzinfo): from_date, keep_going = self._get_starting_date_inner(output_connector, input_connector, station, - from_date, batch_size) + from_date, batch_size, keep_looking_for_input_data) return from_date def _get_starting_date_inner(self, output_connector: ODHBaseConnector, input_connector: ODHBaseConnector, station: TrafficSensorStation, min_from_date: datetime, - batch_size: int) -> Tuple[datetime | None, bool]: + batch_size: int, keep_looking_for_input_data: bool) -> Tuple[datetime | None, bool]: inconn_str = type(input_connector).__name__ outconn_str = type(output_connector).__name__ latest_output_measure = self.__get_latest_measure(output_connector, station) - checkpoint = None - checkpoint_dt = None - if self._checkpoint_cache: - checkpoint = self._checkpoint_cache.get( - ComputationCheckpoint.get_id_for_station(station, self._get_manager_code())) - if checkpoint: - checkpoint_dt = checkpoint.checkpoint_dt - - # if there are no input measures, wait for it returning None - if input_connector and not self.__get_latest_measure(input_connector, station): - logger.info(f"No measures available on [{inconn_str}] for [{station.code}]") + missing_input = input_connector and not self.__get_latest_measure(input_connector, station, + update_create_data_types=False) + missing_output = not latest_output_measure + + if missing_input and not keep_looking_for_input_data: + logger.info(f"No input measures available on [{inconn_str}] for [{station.code}]") return None, False - elif latest_output_measure is None: - logger.info(f"No measures available on [{outconn_str}] for [{station.code}]") - if checkpoint: - if checkpoint_dt: - logger.info(f"Found checkpoint date [{checkpoint_dt}] on [{outconn_str}], candidate as starting date for [{station.code}]") - from_date = checkpoint_dt + elif missing_output: + logger.info(f"No output measures available on [{outconn_str}] for [{station.code}]") + if self._checkpoint_cache and keep_looking_for_input_data: + checkpoint = self._checkpoint_cache.get( + ComputationCheckpoint.get_id_for_station(station, self._get_manager_code())) + if checkpoint and checkpoint.checkpoint_dt: + logger.info(f"Found checkpoint date [{checkpoint.checkpoint_dt}] on [{outconn_str}], candidate as starting date for [{station.code}]") + from_date = checkpoint.checkpoint_dt else: # If there isn't any latest measure available, the min_from_date is used as starting date for the batch logger.info(f"No checkpoint on [{outconn_str}], candidate as starting date for [{station.code}] is min date [{min_from_date}]") @@ -190,9 +191,15 @@ def _get_starting_date_inner(self, output_connector: ODHBaseConnector, input_con logger.info(f"No measures, using min date [{min_from_date}] as starting date for [{station.code}]") from_date = min_from_date else: - if checkpoint_dt and checkpoint_dt > latest_output_measure.valid_time: - logger.info(f"Found checkpoint date [{checkpoint_dt}] on [{outconn_str}], candidate as starting date for [{station.code}]") - from_date = checkpoint_dt + if self._checkpoint_cache: + checkpoint = self._checkpoint_cache.get( + ComputationCheckpoint.get_id_for_station(station, self._get_manager_code())) + if checkpoint and checkpoint.checkpoint_dt and checkpoint.checkpoint_dt > latest_output_measure.valid_time: + logger.info(f"Found checkpoint date [{checkpoint.checkpoint_dt}] on [{outconn_str}], candidate as starting date for [{station.code}]") + from_date = checkpoint.checkpoint_dt + else: + logger.info(f"Measures found and no cache, using min date [{latest_output_measure.valid_time}] as starting date for [{station.code}]") + from_date = latest_output_measure.valid_time else: logger.info(f"Measures found, using min date [{latest_output_measure.valid_time}] as starting date for [{station.code}]") from_date = latest_output_measure.valid_time @@ -222,7 +229,8 @@ def __normalize_from_date(self, from_date: datetime, min_from_date: datetime, return from_date, False def __get_latest_measure(self, connector: ODHBaseConnector, - station: Optional[TrafficSensorStation]) -> Optional[Measure]: + station: Optional[TrafficSensorStation], + update_create_data_types: bool = True) -> Optional[Measure]: """ Retrieve the latest measure for a given station. It will be the oldest one among all the measure types (for pollution, CO-emissions, CO2-emissions, ...) even though should be the same for all the types. @@ -232,7 +240,8 @@ def __get_latest_measure(self, connector: ODHBaseConnector, """ latest_measures = connector.get_latest_measures(station) if latest_measures: - self._create_data_types = False + if update_create_data_types: + self._create_data_types = False latest_measures.sort(key=lambda x: x.valid_time) return latest_measures[0] @@ -299,7 +308,8 @@ def run_computation(self, stations: List[TrafficSensorStation], min_from_date: datetime, max_to_date: datetime, - batch_size: int) -> None: + batch_size: int, + keep_looking_for_input_data: bool) -> None: """ Start the computation of a batch of data measures on a specific station. As starting date for the batch is used the latest measure available on the ODH, @@ -309,13 +319,16 @@ def run_computation(self, :param min_from_date: Traffic measures before this date are discarded if no measures are available. :param max_to_date: Ending date for interval; measures after this date are discarded. :param batch_size: Number of days to be processed as maximum span. + :param keep_looking_for_input_data: If input data has no data, updates checkpoin and goes on looking for data: + Useful to find the first traffic data for a station on validation + To be avoided when there are no validation data on pollution (wait for them) """ logger.info(f"Determining computation interval for {_get_stations_on_logs(stations)} " f"between [{min_from_date}] and [{max_to_date}]") start_date = self.get_starting_date(self.get_output_connector(), self.get_input_connector(), - stations, min_from_date, batch_size) + stations, min_from_date, batch_size, keep_looking_for_input_data) # Detect inactive stations: # If we're about to request more than one window of measurements, do a check first if there even is any new data @@ -426,7 +439,7 @@ def run_computation_and_upload_results(self, def _run_computation_on_single_station(self, stations, min_from_date, max_to_date, batch_size): for station in stations: - self.run_computation([station], min_from_date, max_to_date, batch_size) + self.run_computation([station], min_from_date, max_to_date, batch_size, False) def _run_computation_on_all_stations(self, stations, min_from_date, max_to_date, batch_size): - self.run_computation(stations, min_from_date, max_to_date, batch_size) + self.run_computation(stations, min_from_date, max_to_date, batch_size, True) diff --git a/pollution_v2/src/dags/aiaas_pollution_computer.py b/pollution_v2/src/dags/aiaas_pollution_computer.py index 3730b66e..2d614a38 100644 --- a/pollution_v2/src/dags/aiaas_pollution_computer.py +++ b/pollution_v2/src/dags/aiaas_pollution_computer.py @@ -121,7 +121,7 @@ def process_station(station_dict: dict, **kwargs): logger.info(f"Running computation from [{min_from_date}] to [{max_to_date}]") manager.run_computation([station], min_from_date, max_to_date, - ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION) + ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION, False) computation_end_dt = datetime.now() logger.info(f"Completed computation in [{(computation_end_dt - computation_start_dt).seconds}]") diff --git a/pollution_v2/src/dags/aiaas_validator.py b/pollution_v2/src/dags/aiaas_validator.py index 02314deb..e0f5f44e 100644 --- a/pollution_v2/src/dags/aiaas_validator.py +++ b/pollution_v2/src/dags/aiaas_validator.py @@ -119,7 +119,8 @@ def process_stations(station_dicts: List[dict], **kwargs): computation_start_dt = datetime.now() logger.info(f"Running validation from [{min_from_date}] to [{max_to_date}]") - manager.run_computation(stations_to_process, min_from_date, max_to_date, ODH_COMPUTATION_BATCH_SIZE_VALIDATION) + manager.run_computation(stations_to_process, min_from_date, max_to_date, ODH_COMPUTATION_BATCH_SIZE_VALIDATION, + True) computation_end_dt = datetime.now() logger.info(f"Completed validation in [{(computation_end_dt - computation_start_dt).seconds}]") diff --git a/pollution_v2/src/dags/common.py b/pollution_v2/src/dags/common.py index ec8aff9d..ff6d62b9 100644 --- a/pollution_v2/src/dags/common.py +++ b/pollution_v2/src/dags/common.py @@ -100,9 +100,9 @@ def trigger_next_dag_run(manager: TrafficStationManager, originator_dag: DAG, all_stations = TrafficStationsDAG.get_stations_list(manager, filter_km_gt0, filter_indloop, filter_famas) for station in all_stations: starting_date = manager.get_starting_date(manager.get_output_connector(), manager.get_input_connector(), - [station], ODH_MINIMUM_STARTING_DATE, batch_size) + [station], ODH_MINIMUM_STARTING_DATE, batch_size, False) ending_date = manager.get_starting_date(manager.get_input_connector(), None, - [station], ODH_MINIMUM_STARTING_DATE, batch_size) + [station], ODH_MINIMUM_STARTING_DATE, batch_size, False) if starting_date is None: logger.info(f"Nothing to process on {station.code}, not forwarded to next execution") else: From b476b960415bd54c9719aa4ba64bfd47d511aade Mon Sep 17 00:00:00 2001 From: Simone Brentan Date: Mon, 10 Jun 2024 10:36:11 +0200 Subject: [PATCH 103/154] Apply 2 suggestion(s) to 1 file(s) --- pollution_v2/src/common/manager/traffic_station.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index f305e435..60c57aa5 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -319,7 +319,7 @@ def run_computation(self, :param min_from_date: Traffic measures before this date are discarded if no measures are available. :param max_to_date: Ending date for interval; measures after this date are discarded. :param batch_size: Number of days to be processed as maximum span. - :param keep_looking_for_input_data: If input data has no data, updates checkpoin and goes on looking for data: + :param keep_looking_for_input_data: If input data has no data, updates checkpoint and goes on looking for data: Useful to find the first traffic data for a station on validation To be avoided when there are no validation data on pollution (wait for them) """ @@ -405,7 +405,7 @@ def run_computation_and_upload_results(self, :param min_from_date: Traffic measures before this date are discarded if no measures are available. :param max_to_date: Traffic measure after this date are discarded. :param batch_size: Number of days to be processed as maximum span. - :param run_on_all_stations: Defines if the run must be done on all stations ate the same time + :param run_on_all_stations: Defines if the run must be done on all stations at the same time """ if min_from_date.tzinfo is None: From 31487837cb19100836fd02d228de54810f2095d4 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 10 Jun 2024 12:55:25 +0200 Subject: [PATCH 104/154] pollution_v2: patch to read correctly cache before deciding on keeping looking for data - issue #25 --- pollution_v2/src/common/manager/traffic_station.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index f305e435..ea5be0e3 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -149,7 +149,7 @@ def _get_starting_date_inner(self, output_connector: ODHBaseConnector, input_con return None, False elif missing_output: logger.info(f"No output measures available on [{outconn_str}] for [{station.code}]") - if self._checkpoint_cache and keep_looking_for_input_data: + if self._checkpoint_cache: checkpoint = self._checkpoint_cache.get( ComputationCheckpoint.get_id_for_station(station, self._get_manager_code())) if checkpoint and checkpoint.checkpoint_dt: @@ -159,6 +159,10 @@ def _get_starting_date_inner(self, output_connector: ODHBaseConnector, input_con # If there isn't any latest measure available, the min_from_date is used as starting date for the batch logger.info(f"No checkpoint on [{outconn_str}], candidate as starting date for [{station.code}] is min date [{min_from_date}]") from_date = min_from_date + + if not keep_looking_for_input_data: + return self.__normalize_from_date(from_date, min_from_date, station.code) + # if between from_date and from_date + batch_size there are no input data to_date_tmp = from_date + timedelta(days=batch_size) if to_date_tmp is not None and to_date_tmp.tzinfo is None: From 87f764d73de6e1ae89edff5e5f3a1501cf231212 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 10 Jun 2024 12:58:50 +0200 Subject: [PATCH 105/154] pollution_v2: small changes - issue #25 --- pollution_v2/src/common/connector/common.py | 4 ++-- pollution_v2/src/common/manager/traffic_station.py | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/pollution_v2/src/common/connector/common.py b/pollution_v2/src/common/connector/common.py index a1061a4f..f6a3a9b8 100644 --- a/pollution_v2/src/common/connector/common.py +++ b/pollution_v2/src/common/connector/common.py @@ -317,7 +317,7 @@ def get_latest_measures(self, station: Optional[Station or str] = None, if len(where_conds) > 0: query_params["where"] = f'and({",".join(where_conds)})' - logger.info(f"Retrieving latest measures on [{type(self).__name__}] with where [{query_params['where']}]") + logger.debug(f"Retrieving latest measures on [{type(self).__name__}] with where [{query_params['where']}]") raw_measures = self._get_result_list( path=f"/v2/flat,node/{self._station_type}/{','.join(self._measure_types)}/latest", @@ -350,7 +350,7 @@ def get_measures(self, from_date: datetime, to_date: datetime, station: Optional if len(where_conds) > 0: query_params["where"] = f'and({",".join(where_conds)})' - logger.info(f"Retrieving measures on [{type(self).__name__}] from date [{iso_from_date}] " + logger.debug(f"Retrieving measures on [{type(self).__name__}] from date [{iso_from_date}] " f"to date [{iso_to_date}] with where [{query_params['where']}]") raw_measures = self._get_result_list( diff --git a/pollution_v2/src/common/manager/traffic_station.py b/pollution_v2/src/common/manager/traffic_station.py index ea5be0e3..e21437ce 100644 --- a/pollution_v2/src/common/manager/traffic_station.py +++ b/pollution_v2/src/common/manager/traffic_station.py @@ -323,7 +323,7 @@ def run_computation(self, :param min_from_date: Traffic measures before this date are discarded if no measures are available. :param max_to_date: Ending date for interval; measures after this date are discarded. :param batch_size: Number of days to be processed as maximum span. - :param keep_looking_for_input_data: If input data has no data, updates checkpoin and goes on looking for data: + :param keep_looking_for_input_data: If input data has no data, updates checkpoint and goes on looking for data: Useful to find the first traffic data for a station on validation To be avoided when there are no validation data on pollution (wait for them) """ @@ -409,7 +409,7 @@ def run_computation_and_upload_results(self, :param min_from_date: Traffic measures before this date are discarded if no measures are available. :param max_to_date: Traffic measure after this date are discarded. :param batch_size: Number of days to be processed as maximum span. - :param run_on_all_stations: Defines if the run must be done on all stations ate the same time + :param run_on_all_stations: Defines if the run must be done on all stations at the same time """ if min_from_date.tzinfo is None: From a97da1da72dfc90bb11f6b10925a34c9ee8fcfb7 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 10 Jun 2024 14:13:01 +0200 Subject: [PATCH 106/154] pollution_v2: property to test the system with datatypes prefix simulating nothing has ever been written before on ODH --- pollution_v2/.gitignore | 1 + pollution_v2/README.md | 53 ++++++++++--------- .../src/common/data_model/pollution.py | 5 +- .../src/common/data_model/validation.py | 5 +- pollution_v2/src/common/settings.py | 3 ++ 5 files changed, 37 insertions(+), 30 deletions(-) diff --git a/pollution_v2/.gitignore b/pollution_v2/.gitignore index dd899486..28f66cf3 100644 --- a/pollution_v2/.gitignore +++ b/pollution_v2/.gitignore @@ -10,4 +10,5 @@ venv* celerybeat-schedule.db /sample_data/input/odh.db docker-compose.yaml.custom +docker-compose.yaml.uh /sample_data/odh.db diff --git a/pollution_v2/README.md b/pollution_v2/README.md index 793095b2..3073413c 100644 --- a/pollution_v2/README.md +++ b/pollution_v2/README.md @@ -195,33 +195,34 @@ airflow tasks test tutorial_of_mines print_date 2015-06-01 #### List of environmental variables for development -| Name | Required | Description | Default | -|---------------------------------------------------------|----------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------| -| AIRFLOW_HOME | Yes | Airflow home. | - | -| AIRFLOW_VAR_ODH_BASE_READER_URL | Yes | The base url for the ODH requests for reading data. | - | -| AIRFLOW_VAR_ODH_BASE_WRITER_URL | Yes | The base url for the ODH requests for writing data. | - | -| AIRFLOW_VAR_ODH_AUTHENTICATION_URL | Yes | The url for ODH authentication endpoints. | - | -| AIRFLOW_VAR_ODH_USERNAME | Yes | The username for the ODH authentication. | - | -| AIRFLOW_VAR_ODH_PASSWORD | Yes | The password for the ODH authentication. | - | -| AIRFLOW_VAR_ODH_CLIENT_ID | Yes | The client ID for the ODH authentication. | - | -| AIRFLOW_VAR_ODH_CLIENT_SECRET | Yes | The client secret for the ODH authentication. | - | -| AIRFLOW_VAR_ODH_GRANT_TYPE | Yes | The token grant type for the ODH authentication. It is possible to specify more types by separating them using `;`. | "password" | -| AIRFLOW_VAR_ODH_PAGINATION_SIZE | No | The pagination size for the get requests to ODH. Set it to `-1` to disable it. | 200 | -| AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE | No | The maximum size of the batch for each post request to ODH. If not present there is not a maximum batch size and all data will sent in a single call. | - | -| AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION | No | The maximum size (in days) of a batch to compute pollution | 30 | -| AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_VALIDATION | No | The maximum size (in days) of a batch to compute validation | 1 | +| Name | Required | Description | Default | +|---------------------------------------------------------|----------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------| +| AIRFLOW_HOME | Yes | Airflow home. | - | +| AIRFLOW_VAR_ODH_BASE_READER_URL | Yes | The base url for the ODH requests for reading data. | - | +| AIRFLOW_VAR_ODH_BASE_WRITER_URL | Yes | The base url for the ODH requests for writing data. | - | +| AIRFLOW_VAR_ODH_AUTHENTICATION_URL | Yes | The url for ODH authentication endpoints. | - | +| AIRFLOW_VAR_ODH_USERNAME | Yes | The username for the ODH authentication. | - | +| AIRFLOW_VAR_ODH_PASSWORD | Yes | The password for the ODH authentication. | - | +| AIRFLOW_VAR_ODH_CLIENT_ID | Yes | The client ID for the ODH authentication. | - | +| AIRFLOW_VAR_ODH_CLIENT_SECRET | Yes | The client secret for the ODH authentication. | - | +| AIRFLOW_VAR_ODH_GRANT_TYPE | Yes | The token grant type for the ODH authentication. It is possible to specify more types by separating them using `;`. | "password" | +| AIRFLOW_VAR_ODH_PAGINATION_SIZE | No | The pagination size for the get requests to ODH. Set it to `-1` to disable it. | 200 | +| AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE | No | The maximum size of the batch for each post request to ODH. If not present there is not a maximum batch size and all data will sent in a single call. | - | +| AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION | No | The maximum size (in days) of a batch to compute pollution | 30 | +| AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_VALIDATION | No | The maximum size (in days) of a batch to compute validation | 1 | | AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE | No | The minimum starting date[time] in isoformat (up to one second level of precision, milliseconds for the from date field are not supported in ODH) for downloading data from ODH if no pollution measures are available. | 2018-01-01 | -| COMPUTATION_CHECKPOINT_REDIS_HOST | No | The redis host for the computation checkpoints. Set to enable the computation checkpoints | | -| COMPUTATION_CHECKPOINT_REDIS_PORT | No | The port for the redis server for the computation checkpoints | 6379 | -| COMPUTATION_CHECKPOINT_REDIS_DB | No | The DB number of the checkpoint redis server | 0 | -| DAG_POLLUTION_EXECUTION_CRONTAB | No | The crontab used to schedule pollution computation | 0 0 * * * | -| DAG_VALIDATION_EXECUTION_CRONTAB | No | The crontab used to schedule data validation | 0 0 * * * | -| AIRFLOW__CORE__REMOTE_LOGGING | No | The flag enabling remote logging (install `pip install apache-airflow-providers-amazon` if not present) | | -| AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER | No | The bucket name for remote logging | | -| AIRFLOW__CORE__REMOTE_LOG_CONN_ID | No | The remote logging connection id | | -| AIRFLOW__CORE__ENCRYPT_S3_LOGS | No | The flag for remote logs encryption | | -| AIRFLOW_CONN_MINIO_S3_CONN | No | The MinIO connetion parameters (if expressed as JSON it could be necessary to escape double quotes) | | -| NO_PROXY | Yes (on macOS) | Sets every URL to skip proxy (see [here](https://docs.python.org/3/library/urllib.request.html)) | - | | +| AIRFLOW_VAR_DATATYPE_PREFIX | No | The prefix for datatypes (both while reading and while creating), useful to test the system simulating nothing has ever been written before on ODH. | "" | +| COMPUTATION_CHECKPOINT_REDIS_HOST | No | The redis host for the computation checkpoints. Set to enable the computation checkpoints | | +| COMPUTATION_CHECKPOINT_REDIS_PORT | No | The port for the redis server for the computation checkpoints | 6379 | +| COMPUTATION_CHECKPOINT_REDIS_DB | No | The DB number of the checkpoint redis server | 0 | +| DAG_POLLUTION_EXECUTION_CRONTAB | No | The crontab used to schedule pollution computation | 0 0 * * * | +| DAG_VALIDATION_EXECUTION_CRONTAB | No | The crontab used to schedule data validation | 0 0 * * * | +| AIRFLOW__CORE__REMOTE_LOGGING | No | The flag enabling remote logging (install `pip install apache-airflow-providers-amazon` if not present) | | +| AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER | No | The bucket name for remote logging | | +| AIRFLOW__CORE__REMOTE_LOG_CONN_ID | No | The remote logging connection id | | +| AIRFLOW__CORE__ENCRYPT_S3_LOGS | No | The flag for remote logs encryption | | +| AIRFLOW_CONN_MINIO_S3_CONN | No | The MinIO connetion parameters (if expressed as JSON it could be necessary to escape double quotes) | | +| NO_PROXY | Yes (on macOS) | Sets every URL to skip proxy (see [here](https://docs.python.org/3/library/urllib.request.html)) | - | | ### Notes on Docker deployment diff --git a/pollution_v2/src/common/data_model/pollution.py b/pollution_v2/src/common/data_model/pollution.py index 1e313de7..0baceb53 100644 --- a/pollution_v2/src/common/data_model/pollution.py +++ b/pollution_v2/src/common/data_model/pollution.py @@ -12,6 +12,7 @@ from common.data_model.common import VehicleClass, MeasureCollection, Measure, Provenance, DataType from common.data_model.entry import GenericEntry from common.data_model.station import TrafficSensorStation +from common.settings import DATATYPE_PREFIX class PollutantClass(Enum): @@ -49,7 +50,7 @@ def get_data_types() -> List[DataType]: data_types = [] for vehicle in VehicleClass: for pollutant in PollutantClass: - data_types.append(DataType(f"{vehicle.name}-{pollutant.name}-emissions", + data_types.append(DataType(f"{DATATYPE_PREFIX}{vehicle.name}-{pollutant.name}-emissions", f"{vehicle.value} emissions of {pollutant.name}", "total", "g/km", {})) return data_types @@ -72,7 +73,7 @@ def build_from_entries(pollution_entries: List[PollutionEntry], for pollution_entry in pollution_entries: pollution_measures.append(PollutionMeasure( station=pollution_entry.station, - data_type=data_types_dict[f"{pollution_entry.vehicle_class.name}-{pollution_entry.entry_class.name}-emissions"], + data_type=data_types_dict[f"{DATATYPE_PREFIX}{pollution_entry.vehicle_class.name}-{pollution_entry.entry_class.name}-emissions"], provenance=provenance, period=pollution_entry.period, transaction_time=None, diff --git a/pollution_v2/src/common/data_model/validation.py b/pollution_v2/src/common/data_model/validation.py index 93244fd2..3061dddc 100644 --- a/pollution_v2/src/common/data_model/validation.py +++ b/pollution_v2/src/common/data_model/validation.py @@ -12,6 +12,7 @@ from common.data_model.common import VehicleClass, MeasureCollection, Measure, Provenance, DataType from common.data_model.entry import GenericEntry from common.data_model.traffic import TrafficSensorStation, TrafficEntry +from common.settings import DATATYPE_PREFIX class ValidationTypeClass(Enum): @@ -46,7 +47,7 @@ def get_data_types() -> List[DataType]: for vehicle in VehicleClass: for validation_type in ValidationTypeClass: data_types.append( - DataType(f"{vehicle.name}-{validation_type.name}", f"{vehicle.value} is {validation_type.name}", + DataType(f"{DATATYPE_PREFIX}{vehicle.name}-{validation_type.name}", f"{vehicle.value} is {validation_type.name}", "Validation", "-", {})) return data_types @@ -73,7 +74,7 @@ def build_from_entries(validation_entries: List[ValidationEntry], validation_measures.append(ValidationMeasure( station=validation_entry.station, data_type=data_types_dict[ - f"{validation_entry.vehicle_class.name}-{validation_entry.entry_class.name}"], + f"{DATATYPE_PREFIX}{validation_entry.vehicle_class.name}-{validation_entry.entry_class.name}"], provenance=provenance, period=validation_entry.period, transaction_time=None, diff --git a/pollution_v2/src/common/settings.py b/pollution_v2/src/common/settings.py index 13528b07..94dbbf8e 100644 --- a/pollution_v2/src/common/settings.py +++ b/pollution_v2/src/common/settings.py @@ -65,3 +65,6 @@ COMPUTATION_CHECKPOINT_REDIS_DB = int(Variable.get("COMPUTATION_CHECKPOINT_REDIS_DB", 0)) AIRFLOW_NUM_RETRIES = 3 + +# use it not empty to add a test prefix to datatype +DATATYPE_PREFIX = dateutil.parser.parse(Variable.get("DATATYPE_PREFIX", "")) From a1e408de8e67d9735595d2fbe06a15c68b05ad89 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 10 Jun 2024 14:15:43 +0200 Subject: [PATCH 107/154] pollution_v2: error fixed --- pollution_v2/src/common/settings.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pollution_v2/src/common/settings.py b/pollution_v2/src/common/settings.py index 94dbbf8e..6c0f3557 100644 --- a/pollution_v2/src/common/settings.py +++ b/pollution_v2/src/common/settings.py @@ -67,4 +67,4 @@ AIRFLOW_NUM_RETRIES = 3 # use it not empty to add a test prefix to datatype -DATATYPE_PREFIX = dateutil.parser.parse(Variable.get("DATATYPE_PREFIX", "")) +DATATYPE_PREFIX = Variable.get("DATATYPE_PREFIX", "") From ca5497a1a11be56b3f4ed392be3dbc607749eeaf Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Mon, 10 Jun 2024 14:35:51 +0200 Subject: [PATCH 108/154] pollution_v2: tests fixed --- pollution_v2/src/tests/test_common.py | 4 ++-- pollution_v2/src/tests/test_pollution_computation.py | 6 +++--- pollution_v2/src/tests/test_pollution_connector_tasks.py | 3 ++- pollution_v2/src/tests/test_validation.py | 6 +++--- pollution_v2/src/tests/test_validator_tasks.py | 3 ++- 5 files changed, 12 insertions(+), 10 deletions(-) diff --git a/pollution_v2/src/tests/test_common.py b/pollution_v2/src/tests/test_common.py index 6dee0157..f9739d70 100644 --- a/pollution_v2/src/tests/test_common.py +++ b/pollution_v2/src/tests/test_common.py @@ -89,7 +89,7 @@ def mock_validator_whats_next_run_allow_limited_stations(self, all_stations: lis def get_starting_date_mock_func(output_connector: ODHBaseConnector, input_connector: ODHBaseConnector, stations: List[TrafficSensorStation], min_from_date: datetime, - batch_size: int) -> datetime: + batch_size: int, keep_looking_for_input_data: bool) -> datetime: if isinstance(output_connector, TrafficODHConnector): return ending_date else: @@ -110,7 +110,7 @@ def mock_pollution_computer_whats_next_run_allow_limited_stations(self, all_stat def get_starting_date_mock_func(output_connector: ODHBaseConnector, input_connector: ODHBaseConnector, stations: List[TrafficSensorStation], min_from_date: datetime, - batch_size: int) -> datetime: + batch_size: int, keep_looking_for_input_data: bool) -> datetime: if isinstance(output_connector, ValidationODHConnector): return ending_date else: diff --git a/pollution_v2/src/tests/test_pollution_computation.py b/pollution_v2/src/tests/test_pollution_computation.py index 62731bb9..116c2bfc 100644 --- a/pollution_v2/src/tests/test_pollution_computation.py +++ b/pollution_v2/src/tests/test_pollution_computation.py @@ -56,7 +56,7 @@ def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, station = TrafficSensorStation.from_json(self.station_dict) - get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size)) + get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size), False) latest_date_mock.assert_not_called() # Test that the run_computation method is called with the correct daily date range @@ -103,7 +103,7 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d station = TrafficSensorStation.from_json(self.station_dict) - get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size)) + get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size), False) if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION: latest_date_mock.assert_called_once_with(ANY, [station]) else: @@ -149,7 +149,7 @@ def test_run_computation_date_range_when_few_data(self, download_mock, latest_da task_function(self.station_dict) station = TrafficSensorStation.from_json(self.station_dict) - get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size)) + get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size), False) if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION: latest_date_mock.assert_called_once_with(ANY, [station]) else: diff --git a/pollution_v2/src/tests/test_pollution_connector_tasks.py b/pollution_v2/src/tests/test_pollution_connector_tasks.py index 29bcf014..bf3478b2 100644 --- a/pollution_v2/src/tests/test_pollution_connector_tasks.py +++ b/pollution_v2/src/tests/test_pollution_connector_tasks.py @@ -106,7 +106,8 @@ def test_run_computation_gets_correct_input(self, run_computation_mock): [TrafficSensorStation.from_json(self.station_dict)], ANY, # This corresponds to the min_from_date parameter ANY, # This corresponds to the max_to_date parameter - batch_size + batch_size, + False ) @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.execute") diff --git a/pollution_v2/src/tests/test_validation.py b/pollution_v2/src/tests/test_validation.py index af2e46b2..eaea94ef 100644 --- a/pollution_v2/src/tests/test_validation.py +++ b/pollution_v2/src/tests/test_validation.py @@ -56,7 +56,7 @@ def test_run_computation_date_range_daily(self, download_mock, latest_date_mock, station = TrafficSensorStation.from_json(self.station_dict) - get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size)) + get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size), True) latest_date_mock.assert_not_called() # Test that the run_computation method is called with the correct daily date range @@ -103,7 +103,7 @@ def test_run_computation_date_range_when_more_data(self, download_mock, latest_d station = TrafficSensorStation.from_json(self.station_dict) - get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size)) + get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size), True) if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE_VALIDATION: latest_date_mock.assert_called_once_with(ANY, [station]) else: @@ -149,7 +149,7 @@ def test_run_computation_date_range_when_few_data(self, download_mock, latest_da task_function([self.station_dict]) station = TrafficSensorStation.from_json(self.station_dict) - get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size)) + get_start_date_mock.assert_called_once_with(ANY, ANY, [station], self.min_date, int(batch_size), True) if (self.max_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE_VALIDATION: latest_date_mock.assert_called_once_with(ANY, [station]) else: diff --git a/pollution_v2/src/tests/test_validator_tasks.py b/pollution_v2/src/tests/test_validator_tasks.py index 1c810b91..f96058e4 100644 --- a/pollution_v2/src/tests/test_validator_tasks.py +++ b/pollution_v2/src/tests/test_validator_tasks.py @@ -106,7 +106,8 @@ def test_run_computation_gets_correct_input(self, run_computation_mock): [TrafficSensorStation.from_json(self.station_dict)], ANY, # This corresponds to the min_from_date parameter ANY, # This corresponds to the max_to_date parameter - batch_size + batch_size, + True ) @patch("airflow.operators.trigger_dagrun.TriggerDagRunOperator.execute") From 2c2abf3083a4c4127c06702ab117d9e80c99b1ad Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Wed, 12 Jun 2024 21:19:06 +0200 Subject: [PATCH 109/154] pollution_v2: airflow update --- pollution_v2/infrastructure/docker/Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pollution_v2/infrastructure/docker/Dockerfile b/pollution_v2/infrastructure/docker/Dockerfile index 8ad4e04c..4e6f1a4f 100644 --- a/pollution_v2/infrastructure/docker/Dockerfile +++ b/pollution_v2/infrastructure/docker/Dockerfile @@ -2,7 +2,7 @@ # # SPDX-License-Identifier: CC0-1.0 -FROM apache/airflow:2.8.1-python3.11 +FROM apache/airflow:2.9.2-python3.11 USER root RUN apt update RUN apt install -y gcc g++ build-essential From f169417442644710c1491f4ce00632ccdea22b22 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Wed, 12 Jun 2024 21:30:18 +0200 Subject: [PATCH 110/154] pollution_v2: removed blinker as requirement --- pollution_v2/requirements.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/pollution_v2/requirements.txt b/pollution_v2/requirements.txt index 8f931aa3..7a29998c 100644 --- a/pollution_v2/requirements.txt +++ b/pollution_v2/requirements.txt @@ -1,7 +1,6 @@ celery==5.3.6 redis==4.3.4 sentry-sdk==1.9.9 -blinker==1.5 python-keycloak==2.5.0 requests~=2.28 dateutils==0.6.12 From 0f8249a24d3da39f913a5560e63c88a7a7dcd5a4 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 14 Jun 2024 07:55:01 +0200 Subject: [PATCH 111/154] pollution_v2: config for deployment to NOI --- pollution_v2/docker-compose.yaml | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/pollution_v2/docker-compose.yaml b/pollution_v2/docker-compose.yaml index 95b72c91..0508aef4 100644 --- a/pollution_v2/docker-compose.yaml +++ b/pollution_v2/docker-compose.yaml @@ -86,15 +86,17 @@ x-airflow-common: AIRFLOW_VAR_ODH_PAGINATION_SIZE: '10000' AIRFLOW_VAR_ODH_PASSWORD: '' AIRFLOW_VAR_ODH_USERNAME: '' - # AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE: '' - # AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: '' - # AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: '' - # AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: '' + AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE: "2018-01-01" + AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'redis' + AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 + AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 10 + AIRFLOW_VAR_DATATYPE_PREFIX: "" # AIRFLOW__CORE__REMOTE_LOGGING: '' # AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER: '' # AIRFLOW__CORE__REMOTE_LOG_CONN_ID: '' # AIRFLOW__CORE__ENCRYPT_S3_LOGS: '' # AIRFLOW_CONN_MINIO_S3_CONN: '' + # AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 4 NO_PROXY: '*' volumes: - ${AIRFLOW_PROJ_DIR:-.}/src:/opt/airflow/dags From 92f14ffb9745a406e3a5eaa41bbf42f21016e837 Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 14 Jun 2024 08:36:11 +0200 Subject: [PATCH 112/154] pollution_v2: delay between pollution and validation --- pollution_v2/src/common/settings.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pollution_v2/src/common/settings.py b/pollution_v2/src/common/settings.py index 6c0f3557..c76260d3 100644 --- a/pollution_v2/src/common/settings.py +++ b/pollution_v2/src/common/settings.py @@ -38,7 +38,7 @@ ODH_MINIMUM_STARTING_DATE = DEFAULT_TIMEZONE.localize(ODH_MINIMUM_STARTING_DATE) ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION = int(Variable.get("ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION", 30)) ODH_COMPUTATION_BATCH_SIZE_VALIDATION = int(Variable.get("ODH_COMPUTATION_BATCH_SIZE_VALIDATION", 1)) -DAG_POLLUTION_EXECUTION_CRONTAB = Variable.get("DAG_POLLUTION_EXECUTION_CRONTAB", "0 0 * * *") +DAG_POLLUTION_EXECUTION_CRONTAB = Variable.get("DAG_POLLUTION_EXECUTION_CRONTAB", "0 2 * * *") DAG_VALIDATION_EXECUTION_CRONTAB = Variable.get("DAG_VALIDATION_EXECUTION_CRONTAB", "0 0 * * *") DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN = int(Variable.get("DAG_POLLUTION_TRIGGER_DAG_HOURS_SPAN", 24)) DAG_VALIDATION_TRIGGER_DAG_HOURS_SPAN = int(Variable.get("DAG_VALIDATION_TRIGGER_DAG_HOURS_SPAN", 24)) From b2ec4017f4861c6fa03635964d401f7c27be479d Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Mon, 17 Jun 2024 13:38:41 +0200 Subject: [PATCH 113/154] pollution-v2: adjust docker-compose.run --- .../infrastructure/docker-compose.run.yml | 69 ++++++++++++++++--- 1 file changed, 61 insertions(+), 8 deletions(-) diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index 24d5529a..7058e320 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -1,19 +1,72 @@ -version: "3.7" - +x-airflow-common: + &airflow-common + # In order to add custom dependencies or upgrade provider packages you can use your extended image. + # Comment the image line, place your Dockerfile in the directory where you placed the docker-compose.yaml + # and uncomment the "build" line below, Then run `docker-compose build` to build the images. + image: ${DOCKER_IMAGE}:${DOCKER_TAG} + env_file: + - .env + environment: + &airflow-common-env + AIRFLOW__CORE__EXECUTOR: CeleryExecutor + AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow + AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://airflow:airflow@postgres/airflow + AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0 + AIRFLOW__CORE__FERNET_KEY: '' + AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true' + AIRFLOW__CORE__LOAD_EXAMPLES: 'false' + AIRFLOW__API__AUTH_BACKENDS: 'airflow.api.auth.backend.basic_auth,airflow.api.auth.backend.session' + # yamllint disable rule:line-length + # Use simple http server on scheduler for health checks + # See https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/logging-monitoring/check-health.html#scheduler-health-check-server + # yamllint enable rule:line-length + AIRFLOW__SCHEDULER__ENABLE_HEALTH_CHECK: 'true' + # WARNING: Use _PIP_ADDITIONAL_REQUIREMENTS option ONLY for a quick checks + # for other purpose (development, test and especially production usage) build/extend Airflow image. + _PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-} + AIRFLOW_VAR_ODH_AUTHENTICATION_URL: '' + AIRFLOW_VAR_ODH_BASE_READER_URL: '' + AIRFLOW_VAR_ODH_BASE_WRITER_URL: '' + AIRFLOW_VAR_ODH_CLIENT_ID: '' + AIRFLOW_VAR_ODH_CLIENT_SECRET: '' + AIRFLOW_VAR_ODH_GRANT_TYPE: '' + AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE: '10000' + AIRFLOW_VAR_ODH_PAGINATION_SIZE: '10000' + AIRFLOW_VAR_ODH_PASSWORD: '' + AIRFLOW_VAR_ODH_USERNAME: '' + AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE: "2018-01-01" + AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'redis' + AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 + AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 10 + AIRFLOW_VAR_DATATYPE_PREFIX: "" + # AIRFLOW__CORE__REMOTE_LOGGING: '' + # AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER: '' + # AIRFLOW__CORE__REMOTE_LOG_CONN_ID: '' + # AIRFLOW__CORE__ENCRYPT_S3_LOGS: '' + # AIRFLOW_CONN_MINIO_S3_CONN: '' + # AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 4 + NO_PROXY: '*' + volumes: + - ${AIRFLOW_PROJ_DIR:-.}/src:/opt/airflow/dags + - ${AIRFLOW_PROJ_DIR:-.}/airflow/logs:/opt/airflow/logs + user: "${AIRFLOW_UID:-50000}:0" + depends_on: + &airflow-common-depends-on + redis: + condition: service_healthy + postgres: + condition: service_healthy services: x-airflow-common: &airflow-common - image: ${DOCKER_IMAGE}:${DOCKER_TAG} volumes: - pollution-logs:/opt/airflow/logs user: "${AIRFLOW_UID:-50000}:0" - env_file: - - .env depends_on: &airflow-common-depends-on - redis: - condition: service_healthy + redis: + condition: service_healthy postgres: condition: service_healthy @@ -216,4 +269,4 @@ services: volumes: postgres-db-volume: - pollution-logs: \ No newline at end of file + pollution-logs: From f4252f8828252fba81ace91379872db039e61a07 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Mon, 17 Jun 2024 13:43:04 +0200 Subject: [PATCH 114/154] pollution-v2: fix ansible docker deployment version --- pollution_v2/infrastructure/ansible/requirements.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pollution_v2/infrastructure/ansible/requirements.yml b/pollution_v2/infrastructure/ansible/requirements.yml index 182899e6..cb9e81bb 100644 --- a/pollution_v2/infrastructure/ansible/requirements.yml +++ b/pollution_v2/infrastructure/ansible/requirements.yml @@ -1,2 +1,2 @@ - src: git+https://github.com/noi-techpark/ansible-docker-deployment.git - version: "3.0" + version: "2.0" From d685ceefd8f06e45ec9eb30a18c9c695404ff9ce Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Mon, 17 Jun 2024 13:53:12 +0200 Subject: [PATCH 115/154] infra: use default docker compose files --- pollution_v2/docker-compose.yaml | 2 -- .../infrastructure/docker-compose.build.yml | 2 -- .../infrastructure/docker-compose.run.yml | 15 +-------------- 3 files changed, 1 insertion(+), 18 deletions(-) diff --git a/pollution_v2/docker-compose.yaml b/pollution_v2/docker-compose.yaml index 0508aef4..390068c7 100644 --- a/pollution_v2/docker-compose.yaml +++ b/pollution_v2/docker-compose.yaml @@ -47,8 +47,6 @@ # Default: '' # # Feel free to modify this file to suit your needs. -version: "3.7" - x-airflow-common: &airflow-common diff --git a/pollution_v2/infrastructure/docker-compose.build.yml b/pollution_v2/infrastructure/docker-compose.build.yml index 88efc4f9..d5a65a94 100644 --- a/pollution_v2/infrastructure/docker-compose.build.yml +++ b/pollution_v2/infrastructure/docker-compose.build.yml @@ -1,5 +1,3 @@ -version: "3.7" - services: app: image: ${DOCKER_IMAGE}:${DOCKER_TAG} diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index 7058e320..d6754422 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -47,8 +47,7 @@ x-airflow-common: # AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 4 NO_PROXY: '*' volumes: - - ${AIRFLOW_PROJ_DIR:-.}/src:/opt/airflow/dags - - ${AIRFLOW_PROJ_DIR:-.}/airflow/logs:/opt/airflow/logs + - pollution-logs:/opt/airflow/logs user: "${AIRFLOW_UID:-50000}:0" depends_on: &airflow-common-depends-on @@ -58,18 +57,6 @@ x-airflow-common: condition: service_healthy services: - x-airflow-common: - &airflow-common - volumes: - - pollution-logs:/opt/airflow/logs - user: "${AIRFLOW_UID:-50000}:0" - depends_on: - &airflow-common-depends-on - redis: - condition: service_healthy - postgres: - condition: service_healthy - postgres: image: postgres:13 environment: From bcc58a126f743429c3764d5d22af35c09a3daded Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Mon, 17 Jun 2024 15:27:09 +0200 Subject: [PATCH 116/154] polution v2: add ODH_MINIMUM_STARTING_DATE env var --- .github/workflows/ci-pollution-v2.yml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 62a1e5f8..a3352c02 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -36,10 +36,10 @@ jobs: X_LOG_LEVEL: INFO X_LOG_LEVEL_LIBS: INFO - + X_pollution-v2_TASK_SCHEDULING_MINUTE: "*/10" X_pollution-v2_TASK_SCHEDULING_HOUR: "*" - + X_ODH_BASE_READER_URL: https://mobility.api.opendatahub.testingmachine.eu X_ODH_BASE_WRITER_URL: https://share.opendatahub.testingmachine.eu X_ODH_AUTHENTICATION_URL: https://auth.opendatahub.testingmachine.eu/auth/ @@ -77,11 +77,12 @@ jobs: X_AIRFLOW_VAR_ODH_GRANT_TYPE: client_credentials X_AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE: '10000' X_AIRFLOW_VAR_ODH_PAGINATION_SIZE: '10000' - + # username/pass not needed with client_credentials X_AIRFLOW_VAR_ODH_PASSWORD: 'ODH_PASSWORD' X_AIRFLOW_VAR_ODH_USERNAME: 'ODH_USERNAME' X_AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE: "2017-01-01 00:00:00+00:00" + X_ODH_MINIMUM_STARTING_DATE: "2017-01-01 00:00:00+00:00" X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'pollution-v2-connector-redis' X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 3 @@ -94,7 +95,6 @@ jobs: # X_AIRFLOW_CONN_MINIO_S3_CONN: '' X_NO_PROXY: '*' - - name: Build and push images uses: noi-techpark/github-actions/docker-build-and-push@v2 with: From 3fa0a3baa45507dccf72862db34f324621dc094e Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Mon, 17 Jun 2024 15:31:19 +0200 Subject: [PATCH 117/154] pollution-v2: expose webserver on port 1097 --- .github/workflows/ci-pollution-v2.yml | 2 ++ pollution_v2/infrastructure/docker-compose.run.yml | 2 +- 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index a3352c02..57ef0d84 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -37,6 +37,8 @@ jobs: X_LOG_LEVEL: INFO X_LOG_LEVEL_LIBS: INFO + X_SERVER_PORT: 1097 + X_pollution-v2_TASK_SCHEDULING_MINUTE: "*/10" X_pollution-v2_TASK_SCHEDULING_HOUR: "*" diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index d6754422..257cb6d7 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -88,7 +88,7 @@ services: <<: *airflow-common command: webserver ports: - - "8080:8080" + - "${SERVER_PORT}:8080" healthcheck: test: ["CMD", "curl", "--fail", "http://localhost:8080/health"] interval: 30s From 059a47338481ac78114240e3f65a8b20ac62ccf1 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Mon, 17 Jun 2024 15:49:48 +0200 Subject: [PATCH 118/154] polution v2: set airflow password --- .github/workflows/ci-pollution-v2.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 57ef0d84..2f30908d 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -79,6 +79,7 @@ jobs: X_AIRFLOW_VAR_ODH_GRANT_TYPE: client_credentials X_AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE: '10000' X_AIRFLOW_VAR_ODH_PAGINATION_SIZE: '10000' + X_AIRFLOW_WWW_USER_PASSWORD: ${{ secrets.AIRFLOW_WWW_USER_PASSWORD }} # username/pass not needed with client_credentials X_AIRFLOW_VAR_ODH_PASSWORD: 'ODH_PASSWORD' From 0a4b4c4ed1485d79b753b0db48608fa174f53f36 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Mon, 17 Jun 2024 15:59:15 +0200 Subject: [PATCH 119/154] pollution v2: add airflow user/password env vars --- pollution_v2/infrastructure/docker-compose.run.yml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index 257cb6d7..453aa5d5 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -39,6 +39,10 @@ x-airflow-common: AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 10 AIRFLOW_VAR_DATATYPE_PREFIX: "" + + AIRFLOW_WWW_USER_USERNAME: ${AIRFLOW_WWW_USER_USERNAME:-airflow} + AIRFLOW_WWW_USER_PASSWORD: ${AIRFLOW_WWW_USER_PASSWORD:-airflow} + # AIRFLOW__CORE__REMOTE_LOGGING: '' # AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER: '' # AIRFLOW__CORE__REMOTE_LOG_CONN_ID: '' From 4eb6a9941dba6615f9f7d9bc3fc8c0dfeb1ba50c Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Tue, 18 Jun 2024 10:44:41 +0200 Subject: [PATCH 120/154] pollution-v2: adjust airflow webserver password --- pollution_v2/docker-compose.yaml | 2 ++ pollution_v2/infrastructure/docker-compose.run.yml | 4 ++-- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/pollution_v2/docker-compose.yaml b/pollution_v2/docker-compose.yaml index 390068c7..984da9fc 100644 --- a/pollution_v2/docker-compose.yaml +++ b/pollution_v2/docker-compose.yaml @@ -89,6 +89,8 @@ x-airflow-common: AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 10 AIRFLOW_VAR_DATATYPE_PREFIX: "" + _AIRFLOW_WWW_USER_USERNAME: ${AIRFLOW_WWW_USER_USERNAME:-airflow} + _AIRFLOW_WWW_USER_PASSWORD: ${AIRFLOW_WWW_USER_PASSWORD:-airflow} # AIRFLOW__CORE__REMOTE_LOGGING: '' # AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER: '' # AIRFLOW__CORE__REMOTE_LOG_CONN_ID: '' diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index 453aa5d5..50a9df65 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -40,8 +40,8 @@ x-airflow-common: AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 10 AIRFLOW_VAR_DATATYPE_PREFIX: "" - AIRFLOW_WWW_USER_USERNAME: ${AIRFLOW_WWW_USER_USERNAME:-airflow} - AIRFLOW_WWW_USER_PASSWORD: ${AIRFLOW_WWW_USER_PASSWORD:-airflow} + _AIRFLOW_WWW_USER_USERNAME: ${AIRFLOW_WWW_USER_USERNAME:-airflow} + _AIRFLOW_WWW_USER_PASSWORD: ${AIRFLOW_WWW_USER_PASSWORD:-airflow} # AIRFLOW__CORE__REMOTE_LOGGING: '' # AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER: '' From 8076a4cc915ea4dc264b93092da617bbc019b754 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Mon, 24 Jun 2024 15:38:53 +0200 Subject: [PATCH 121/154] pollution-v2: use webserver username from server --- .github/workflows/ci-pollution-v2.yml | 1 + pollution_v2/infrastructure/docker-compose.run.yml | 8 ++------ 2 files changed, 3 insertions(+), 6 deletions(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 2f30908d..9e90284d 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -79,6 +79,7 @@ jobs: X_AIRFLOW_VAR_ODH_GRANT_TYPE: client_credentials X_AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE: '10000' X_AIRFLOW_VAR_ODH_PAGINATION_SIZE: '10000' + X_AIRFLOW_WWW_USER_USERNAME: ${{ secrets.AIRFLOW_WWW_USER_USERNAME }} X_AIRFLOW_WWW_USER_PASSWORD: ${{ secrets.AIRFLOW_WWW_USER_PASSWORD }} # username/pass not needed with client_credentials diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index 50a9df65..27f5119c 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -39,10 +39,6 @@ x-airflow-common: AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 10 AIRFLOW_VAR_DATATYPE_PREFIX: "" - - _AIRFLOW_WWW_USER_USERNAME: ${AIRFLOW_WWW_USER_USERNAME:-airflow} - _AIRFLOW_WWW_USER_PASSWORD: ${AIRFLOW_WWW_USER_PASSWORD:-airflow} - # AIRFLOW__CORE__REMOTE_LOGGING: '' # AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER: '' # AIRFLOW__CORE__REMOTE_LOG_CONN_ID: '' @@ -215,8 +211,8 @@ services: environment: _AIRFLOW_DB_MIGRATE: 'true' _AIRFLOW_WWW_USER_CREATE: 'true' - _AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow} - _AIRFLOW_WWW_USER_PASSWORD: ${_AIRFLOW_WWW_USER_PASSWORD:-airflow} + _AIRFLOW_WWW_USER_USERNAME: ${AIRFLOW_WWW_USER_USERNAME:-airflow} + _AIRFLOW_WWW_USER_PASSWORD: ${AIRFLOW_WWW_USER_PASSWORD:-airflow} _PIP_ADDITIONAL_REQUIREMENTS: '' user: "0:0" volumes: From fe77f07a9e420bc01b5a028163330fbd8ac3688d Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Tue, 25 Jun 2024 09:23:44 +0200 Subject: [PATCH 122/154] pollution-v2: ci/cd adjust AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE env var --- .github/workflows/ci-pollution-v2.yml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 9e90284d..413b856e 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -85,8 +85,7 @@ jobs: # username/pass not needed with client_credentials X_AIRFLOW_VAR_ODH_PASSWORD: 'ODH_PASSWORD' X_AIRFLOW_VAR_ODH_USERNAME: 'ODH_USERNAME' - X_AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE: "2017-01-01 00:00:00+00:00" - X_ODH_MINIMUM_STARTING_DATE: "2017-01-01 00:00:00+00:00" + X_AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE: "2017-01-01" X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'pollution-v2-connector-redis' X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 3 From 7cbbe083547bc9dbbffa0b4fb62739283747a9db Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Thu, 27 Jun 2024 08:11:04 +0200 Subject: [PATCH 123/154] pollution-v2: ci/cd use KEYCLOAK env var --- .github/workflows/ci-pollution-v2.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 413b856e..e80d8a6e 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -44,7 +44,7 @@ jobs: X_ODH_BASE_READER_URL: https://mobility.api.opendatahub.testingmachine.eu X_ODH_BASE_WRITER_URL: https://share.opendatahub.testingmachine.eu - X_ODH_AUTHENTICATION_URL: https://auth.opendatahub.testingmachine.eu/auth/ + X_ODH_AUTHENTICATION_URL: ${{ env.KEYCLOAK_URL }}/auth/ X_ODH_CLIENT_ID: odh-a22-dataprocessor X_ODH_CLIENT_SECRET: ${{ secrets.COMBINED_CLIENT_SECRET_TEST }} X_ODH_GRANT_TYPE: client_credentials @@ -71,7 +71,7 @@ jobs: # WARNING: Use _PIP_ADDITIONAL_REQUIREMENTS option ONLY for a quick checks # for other purpose (development, test and especially production usage) build/extend Airflow image. X__PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-} - X_AIRFLOW_VAR_ODH_AUTHENTICATION_URL: '' + X_AIRFLOW_VAR_ODH_AUTHENTICATION_URL: ${{ env.KEYCLOAK_URL }}/auth/ X_AIRFLOW_VAR_ODH_BASE_READER_URL: 'https://mobility.api.opendatahub.testingmachine.eu' X_AIRFLOW_VAR_ODH_BASE_WRITER_URL: 'https://share.opendatahub.testingmachine.eu' X_AIRFLOW_VAR_ODH_CLIENT_ID: 'odh-a22-dataprocessor' From f77065422fcc076ae66aeb48e12fe2ea34ef55e2 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Thu, 27 Jun 2024 09:15:54 +0200 Subject: [PATCH 124/154] pollution v2: adjust env vars --- .../infrastructure/docker-compose.run.yml | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index 27f5119c..74ed1b64 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -24,16 +24,16 @@ x-airflow-common: # WARNING: Use _PIP_ADDITIONAL_REQUIREMENTS option ONLY for a quick checks # for other purpose (development, test and especially production usage) build/extend Airflow image. _PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-} - AIRFLOW_VAR_ODH_AUTHENTICATION_URL: '' - AIRFLOW_VAR_ODH_BASE_READER_URL: '' - AIRFLOW_VAR_ODH_BASE_WRITER_URL: '' - AIRFLOW_VAR_ODH_CLIENT_ID: '' - AIRFLOW_VAR_ODH_CLIENT_SECRET: '' - AIRFLOW_VAR_ODH_GRANT_TYPE: '' + AIRFLOW_VAR_ODH_AUTHENTICATION_URL: ${AIRFLOW_VAR_ODH_AUTHENTICATION_URL} + AIRFLOW_VAR_ODH_BASE_READER_URL: ${AIRFLOW_VAR_BASE_READER_URL} + AIRFLOW_VAR_ODH_BASE_WRITER_URL: ${AIRFLOW_VAR_ODH_BASE_WRITER_URL} + AIRFLOW_VAR_ODH_CLIENT_ID: ${AIRFLOW_VAR_ODH_CLIENT_ID} + AIRFLOW_VAR_ODH_CLIENT_SECRET: ${AIRFLOW_VAR_ODH_CLIENT_SECRET} + AIRFLOW_VAR_ODH_GRANT_TYPE: ${AIRFLOW_VAR_ODH_GRANT_TYPE} AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE: '10000' AIRFLOW_VAR_ODH_PAGINATION_SIZE: '10000' - AIRFLOW_VAR_ODH_PASSWORD: '' - AIRFLOW_VAR_ODH_USERNAME: '' + AIRFLOW_VAR_ODH_PASSWORD: ${AIRFLOW_VAR_ODH_PASSWORD} + AIRFLOW_VAR_ODH_USERNAME: ${AIRFLOW_VAR_ODH_USERNAME} AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE: "2018-01-01" AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'redis' AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 From 6b668998f8a69c7f0e83d56126f011536f27c401 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Thu, 27 Jun 2024 09:53:28 +0200 Subject: [PATCH 125/154] pollution v2: ci/cd adjust redis host name --- .github/workflows/ci-pollution-v2.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index e80d8a6e..8163ce0b 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -86,7 +86,7 @@ jobs: X_AIRFLOW_VAR_ODH_PASSWORD: 'ODH_PASSWORD' X_AIRFLOW_VAR_ODH_USERNAME: 'ODH_USERNAME' X_AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE: "2017-01-01" - X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'pollution-v2-connector-redis' + X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'redis' X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 3 From f02ea4e5abb4589456ddc77dbcffe4abde203b31 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Thu, 27 Jun 2024 12:41:11 +0200 Subject: [PATCH 126/154] infra: fix AIRFLOW_VAR_BASE_READER_URL --- pollution_v2/infrastructure/docker-compose.run.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index 74ed1b64..611651a0 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -25,7 +25,7 @@ x-airflow-common: # for other purpose (development, test and especially production usage) build/extend Airflow image. _PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-} AIRFLOW_VAR_ODH_AUTHENTICATION_URL: ${AIRFLOW_VAR_ODH_AUTHENTICATION_URL} - AIRFLOW_VAR_ODH_BASE_READER_URL: ${AIRFLOW_VAR_BASE_READER_URL} + AIRFLOW_VAR_ODH_BASE_READER_URL: ${AIRFLOW_VAR_ODH_BASE_READER_URL} AIRFLOW_VAR_ODH_BASE_WRITER_URL: ${AIRFLOW_VAR_ODH_BASE_WRITER_URL} AIRFLOW_VAR_ODH_CLIENT_ID: ${AIRFLOW_VAR_ODH_CLIENT_ID} AIRFLOW_VAR_ODH_CLIENT_SECRET: ${AIRFLOW_VAR_ODH_CLIENT_SECRET} From b8bc2a333aa8455f5464e2cdfefc191a58e7aa4f Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Thu, 27 Jun 2024 18:05:12 +0200 Subject: [PATCH 127/154] pollution_v2: update documentation --- pollution_v2/README.md | 154 +++++++++++------- .../documentation/UML Architecture.png | Bin 55581 -> 41064 bytes .../documentation/UML Architecture.svg | 2 +- .../documentation/UML Sequence diagram.png | Bin 97909 -> 96598 bytes .../documentation/UML Sequence diagram.svg | 2 +- 5 files changed, 93 insertions(+), 65 deletions(-) diff --git a/pollution_v2/README.md b/pollution_v2/README.md index 3073413c..721dbea3 100644 --- a/pollution_v2/README.md +++ b/pollution_v2/README.md @@ -4,24 +4,27 @@ SPDX-FileCopyrightText: NOI Techpark SPDX-License-Identifier: CC0-1.0 --> +[[_TOC_]] + # AI as a Service This project contain the code for validation and pollution computing for the OpenDataHub data about A22 traffic. -The TrafficData is periodically pulled from the A22 collection, data validation evalueted and the pollution data is estimated and pushed back on the OpenDataHub. +The TrafficData is periodically pulled from the A22 collection, data validation evaluated and the pollution data is estimated and pushed back on the OpenDataHub. + +## Project detail -## Project Structure +### Architecture ![project structure](./documentation/UML Architecture.png) **Components**: -- *Scheduler*: It schedules the periodic task to update the pollution data. -- *State*: TBD. -- *Pollution computer*: This task handles the computation of a batch of measures. It downloads the traffic data from the OpenDataHub (Using the TrafficMeasure connector), computes the pollution measures (using the Pollution Computation Model) and it uploads the new measure to the ODH using the PollutionMeasure connector. +- *Airflow*: It schedules the periodic task to update the validation and the pollution data. - *Data validator*: This component downloads traffic data from ODH, validates them and upload them again into ODH. +- *Pollution computer*: This task handles the computation of a batch of measures. It downloads the traffic data from the OpenDataHub (Using the TrafficMeasure connector), computes the pollution measures (using the Pollution Computation Model) and it uploads the new measure to the ODH using the PollutionMeasure connector. -### Batch computation sequence +### Sequence The following sequence diagram describes how Airflow and the DAGs (validation or pollution computing) interact in order to process ODH data. @@ -34,7 +37,7 @@ Due to: 1. ODH limitation (cannot write on ODH a record older than the ones already present), 2. the needing of backfill a new station inserted when the others are already up-to-date, -we have to rely on internal dates management in order to be sure that only the latest unprocessed data is used as DAG input. +we have to rely on internal dates management in order to be sure that only the latest unprocessed data is used as DAG input. The information about dates is stored in the Redis container available on docker compose configuration (see [here](#computation-checkpoint)). 1. First the scheduler starts the execution of a new _Validation_ or _Pollution Computation_ DAG. 2. Then the DAG activates the first task that retrieves the station list. @@ -54,6 +57,59 @@ In details, the following step describe how the pollution computation DAG works. 6. The `PollutionComputationModel` computes the new PollutionMeasures and returns them to the main task. 7. Finally, the main task uploads the new PollutionMeasures to the ODH using the *PollutionODHConnector*. +#### Computation checkpoint +By setting the *COMPUTATION_CHECKPOINT_REDIS_HOST* variable to a valid Redis server, the computation checkpoints will be enabled. + +The computation checkpoint stores the final date of the last computed interval of data for a station. The checkpoint is used +as a starting date for the next computation if the station has no pollution data associated. +This feature has been implemented to avoid attempting a recalculation, at each execution of the task, of all +the historical data of the stations that have only invalid data for this library. + +We can use the Redis host made available by airflow when building its containers. The environment variable +(taken from `docker-compose.yaml`) dictating the redis host used by airflow is: + +``` +AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0 +``` + +This is standard for Airflow and means it connects to Redis host at port 6379, with database 0. +Redis supports up to 16 databases, and they are independent from each other. +Therefore we can use the redis host already present to check for the computation error, we just need to use a different database. +We can use these environment variables (db is set to 10, but needs only to be different from 0): + +``` +AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'redis' +AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 +AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 10 +``` + +By using these settings, the computations persist when errors on the data were found. +When a task could not compute the validation or pollution computation, it updated the redis cache with the next +date to retrieve data and then finished with MARK=SUCCESS, thus not breaking the flow of task executions. +The next planned task for that station retrieves the date available from cache and continues the computation from there. + +## How to maintain it + +### Reset Airflow Redis cache + +When a reset of the workflow manager is needed (e.g. to make it process all the data available from the beginning or +from a specific date), you need to clean the Redis volume used as state database as detailed above. Once +stopped the docker compose, remove the dedicated volume and start again the compose. + +### Update "parco circolante" + +"Parco circolante" stands for the configuration containing the estimate of the distribution of the types of car moving +on the considered road. + +The folder `pollution_v2/src/pollution_connector/model/input` contains a dedicated CSV file for each year +(e.g. `fc_info_2018.csv`) with a default one containing default values in case of processing a year with the +corresponding file missing (`fc_info.csv`). + +To update the "parco circolante" for a specific year, just add the corresponding file (and update the default file, if +appropriate) and then [reset the Airflow cache](#Reset-Airflow-Redis-cache) for the previously computed data. + +Clean previously updated data on ODH and run again the corresponding DAGs. + ## How to use it ### Setup the project @@ -192,37 +248,37 @@ airflow tasks test tutorial_of_mines print_date 2015-06-01 3. Specify as Working directory the following: '/pollution_v2'. 4. Set the following environmental variables. - #### List of environmental variables for development -| Name | Required | Description | Default | -|---------------------------------------------------------|----------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------| -| AIRFLOW_HOME | Yes | Airflow home. | - | -| AIRFLOW_VAR_ODH_BASE_READER_URL | Yes | The base url for the ODH requests for reading data. | - | -| AIRFLOW_VAR_ODH_BASE_WRITER_URL | Yes | The base url for the ODH requests for writing data. | - | -| AIRFLOW_VAR_ODH_AUTHENTICATION_URL | Yes | The url for ODH authentication endpoints. | - | -| AIRFLOW_VAR_ODH_USERNAME | Yes | The username for the ODH authentication. | - | -| AIRFLOW_VAR_ODH_PASSWORD | Yes | The password for the ODH authentication. | - | -| AIRFLOW_VAR_ODH_CLIENT_ID | Yes | The client ID for the ODH authentication. | - | -| AIRFLOW_VAR_ODH_CLIENT_SECRET | Yes | The client secret for the ODH authentication. | - | -| AIRFLOW_VAR_ODH_GRANT_TYPE | Yes | The token grant type for the ODH authentication. It is possible to specify more types by separating them using `;`. | "password" | -| AIRFLOW_VAR_ODH_PAGINATION_SIZE | No | The pagination size for the get requests to ODH. Set it to `-1` to disable it. | 200 | -| AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE | No | The maximum size of the batch for each post request to ODH. If not present there is not a maximum batch size and all data will sent in a single call. | - | -| AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION | No | The maximum size (in days) of a batch to compute pollution | 30 | -| AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_VALIDATION | No | The maximum size (in days) of a batch to compute validation | 1 | +| Name | Required | Description | Default | +|---------------------------------------------------------|----------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------| +| AIRFLOW_HOME | Yes | Airflow home. | - | +| AIRFLOW_VAR_ODH_BASE_READER_URL | Yes | The base url for the ODH requests for reading data. | - | +| AIRFLOW_VAR_ODH_BASE_WRITER_URL | Yes | The base url for the ODH requests for writing data. | - | +| AIRFLOW_VAR_ODH_AUTHENTICATION_URL | Yes | The url for ODH authentication endpoints. | - | +| AIRFLOW_VAR_ODH_USERNAME | Yes | The username for the ODH authentication. | - | +| AIRFLOW_VAR_ODH_PASSWORD | Yes | The password for the ODH authentication. | - | +| AIRFLOW_VAR_ODH_CLIENT_ID | Yes | The client ID for the ODH authentication. | - | +| AIRFLOW_VAR_ODH_CLIENT_SECRET | Yes | The client secret for the ODH authentication. | - | +| AIRFLOW_VAR_ODH_GRANT_TYPE | Yes | The token grant type for the ODH authentication. It is possible to specify more types by separating them using `;`. | "password" | +| AIRFLOW_VAR_ODH_PAGINATION_SIZE | No | The pagination size for the get requests to ODH. Set it to `-1` to disable it. | 200 | +| AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE | No | The maximum size of the batch for each post request to ODH. If not present there is not a maximum batch size and all data will sent in a single call. | - | +| AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_POLL_ELABORATION | No | The maximum size (in days) of a batch to compute pollution | 30 | +| AIRFLOW_VAR_ODH_COMPUTATION_BATCH_SIZE_VALIDATION | No | The maximum size (in days) of a batch to compute validation | 1 | | AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE | No | The minimum starting date[time] in isoformat (up to one second level of precision, milliseconds for the from date field are not supported in ODH) for downloading data from ODH if no pollution measures are available. | 2018-01-01 | -| AIRFLOW_VAR_DATATYPE_PREFIX | No | The prefix for datatypes (both while reading and while creating), useful to test the system simulating nothing has ever been written before on ODH. | "" | -| COMPUTATION_CHECKPOINT_REDIS_HOST | No | The redis host for the computation checkpoints. Set to enable the computation checkpoints | | -| COMPUTATION_CHECKPOINT_REDIS_PORT | No | The port for the redis server for the computation checkpoints | 6379 | -| COMPUTATION_CHECKPOINT_REDIS_DB | No | The DB number of the checkpoint redis server | 0 | -| DAG_POLLUTION_EXECUTION_CRONTAB | No | The crontab used to schedule pollution computation | 0 0 * * * | -| DAG_VALIDATION_EXECUTION_CRONTAB | No | The crontab used to schedule data validation | 0 0 * * * | -| AIRFLOW__CORE__REMOTE_LOGGING | No | The flag enabling remote logging (install `pip install apache-airflow-providers-amazon` if not present) | | -| AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER | No | The bucket name for remote logging | | -| AIRFLOW__CORE__REMOTE_LOG_CONN_ID | No | The remote logging connection id | | -| AIRFLOW__CORE__ENCRYPT_S3_LOGS | No | The flag for remote logs encryption | | -| AIRFLOW_CONN_MINIO_S3_CONN | No | The MinIO connetion parameters (if expressed as JSON it could be necessary to escape double quotes) | | -| NO_PROXY | Yes (on macOS) | Sets every URL to skip proxy (see [here](https://docs.python.org/3/library/urllib.request.html)) | - | | +| AIRFLOW_VAR_DATATYPE_PREFIX | No | The prefix for datatypes (both while reading and while creating), useful to test the system simulating nothing has ever been written before on ODH. | | +| COMPUTATION_CHECKPOINT_REDIS_HOST | No | The redis host for the computation checkpoints. Set to enable the computation checkpoints | | +| COMPUTATION_CHECKPOINT_REDIS_PORT | No | The port for the redis server for the computation checkpoints | 6379 | +| COMPUTATION_CHECKPOINT_REDIS_DB | No | The DB number of the checkpoint redis server | 0 | +| DAG_POLLUTION_EXECUTION_CRONTAB | No | The crontab used to schedule pollution computation | 0 0 * * * | +| DAG_VALIDATION_EXECUTION_CRONTAB | No | The crontab used to schedule data validation | 0 0 * * * | +| AIRFLOW_CONN_MINIO_S3_CONN | No | The MinIO connetion parameters (if expressed as JSON it could be necessary to escape double quotes) | | +| AIRFLOW__CORE__REMOTE_LOGGING | No | The flag enabling remote logging (install `pip install apache-airflow-providers-amazon` if not present) | | +| AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER | No | The bucket name for remote logging | | +| AIRFLOW__CORE__REMOTE_LOG_CONN_ID | No | The remote logging connection id | | +| AIRFLOW__CORE__ENCRYPT_S3_LOGS | No | The flag for remote logs encryption | | +| AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG | No | The maximun number of active tasks (running in parallel) for each executing DAG | 16 | +| NO_PROXY | Yes (on macOS) | Sets every URL to skip proxy (see [here](https://docs.python.org/3/library/urllib.request.html)) | - | | ### Notes on Docker deployment @@ -250,31 +306,3 @@ Use the following commands (could be necessary to use `docker-compose` on older * `docker compose down --volumes --remove-orphans`: cleans-up the environment * `docker compose down --volumes --rmi all`: stops and deletes containers, deletes volumes with database data and downloads images - - -#### Computation checkpoint -By setting the *COMPUTATION_CHECKPOINT_REDIS_HOST* variable to a valid Redis server, the computation checkpoints will be enabled. - -The computation checkpoint stores the final date of the last computed interval of data for a station. The checkpoint is used -as a starting date for the next computation if the station has no pollution data associated. -This feature has been implemented to avoid attempting a recalculation, at each execution of the task, of all -the historical data of the stations that have only invalid data for this library. - -We can use the Redis host made available by airflow when building its containers. The environment variable -(taken from `docker-compose.yaml`) dictating the redis host used by airflow is: - -`AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0` - -This is standard for Airflow and means it connects to Redis host at port 6379, with database 0. -Redis supports up to 16 databases, and they are independent from each other. -Therefore we can use the redis host already present to check for the computation error, we just need to use a different database. -We can use these environment variables (db is set to 10, but needs only to be different from 0): - -`AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'redis' -AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 -AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 10` - -By using these settings, the computations persist when errors on the data were found. -When a task could not compute the validation or pollution computation, it updated the redis cache with the next -date to retrieve data and then finished with MARK=SUCCESS, thus 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validated data
validated data
<<daily>>
Data validator
<<daily>>...
transiti totali
periodo 1d
per corsia e stazione
transiti totali...
transiti (no velocità)
periodo 600s
per corsia, stazione e veicolo
transiti (no velocità)...
metadati
chilometraggio
metadati...
ODH
ODH
pollution data
pollution data
<<daily>>
Pollution computer
<<daily>>...
validated data
validated data
Beat Scheduler
Beat Scheduler
starts by datetime
starts by datetime
starts by datetime
starts by datetime
Scheduler
Scheduler
State
(if needed)
State...
\ No newline at end of file +
transiti (no velocità)
periodo 600s
per corsia, stazione e veicolo
transiti (no velocità)...
transiti totali
periodo 1d
per corsia e stazione
transiti totali...
validated data
validated data
<<daily>>
Data validator
<<daily>>...
metadati
chilometraggio
metadati...
ODH
ODH
pollution data
pollution data
<<daily>>
Pollution computer
<<daily>>...
validated data
validated data
starts by datetime
starts by datetime
starts by datetime
starts by datetime
Airflow
Airflow
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IXgOT?57!&lyZ`_I diff --git a/pollution_v2/documentation/UML Sequence diagram.svg b/pollution_v2/documentation/UML Sequence diagram.svg index 3c14c07d..5b062ad7 100644 --- a/pollution_v2/documentation/UML Sequence diagram.svg +++ b/pollution_v2/documentation/UML Sequence diagram.svg @@ -1,3 +1,3 @@ -
Airflow
Airflow
task station list
task station list
task process station
task process station
DAG
DAG
DAG Scheduler
DAG Scheduler
starts
starts
starts each day
starts each day
station list
station list
get station list
get station list
run outcome
run outcome
The following sequence diagram applies both to validation and pollution computing DAGs
The following sequence diagram applies bo...
activate
activate
task check more data
task check more data
station list
station list
process single station
process single station
confirmation
confirmation
get first date
get first date
first available date
first available date
determine
date range
determine...
get data
get data
data
data
compute
compute
upload data
upload data
confirmation
confirmation
ODH
ODH
check if more data available
check if more data available
first available date
first available date
check data available
check data available
are there more data
are there more data
self-trigger
if needed
self-trigger...
\ No newline at end of file +
Airflow
Airflow
task station list
task station list
task process station
task process station
DAG
DAG
DAG Scheduler
DAG Scheduler
starts
starts
starts each day
starts each day
station list
station list
get station list
get station list
run outcome
run outcome
The following sequence diagram applies both to validation and pollution computing DAGs
The following sequence diagram applies bo...
activate
activate
task check more data
task check more data
station list
station list
process single station
process single station
confirmation
confirmation
get first date
get first date
first available date
first available date
determine
date range
determine...
get data
get data
data
data
compute
compute
upload data
upload data
confirmation
confirmation
ODH
ODH
check if more data available
check if more data available
first available date
first available date
check data available
check data available
are there more data
are there more data
self-trigger
if needed
self-trigger...
\ No newline at end of file From 20f50d4a7c130a347a2ffedca2bf18d39986e4db Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Fri, 28 Jun 2024 09:43:57 +0200 Subject: [PATCH 128/154] pollution-v2: set AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG=4 --- .github/workflows/ci-pollution-v2.yml | 1 + pollution_v2/infrastructure/docker-compose.run.yml | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 8163ce0b..69ddfe86 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -89,6 +89,7 @@ jobs: X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'redis' X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 3 + X_AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 4 # Currently no logging enabled # X_AIRFLOW__CORE__REMOTE_LOGGING: '' diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index 611651a0..110c5288 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -44,7 +44,7 @@ x-airflow-common: # AIRFLOW__CORE__REMOTE_LOG_CONN_ID: '' # AIRFLOW__CORE__ENCRYPT_S3_LOGS: '' # AIRFLOW_CONN_MINIO_S3_CONN: '' - # AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 4 + AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: ${AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG} NO_PROXY: '*' volumes: - pollution-logs:/opt/airflow/logs From 388a1b7bbfbbc5d2102ba217812b92bff1f94cdc Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Fri, 28 Jun 2024 13:51:26 +0200 Subject: [PATCH 129/154] polluton v2: move to docker05-prod and use 16 cores --- .github/workflows/ci-pollution-v2.yml | 3 ++- pollution_v2/infrastructure/ansible/hosts | 4 ++-- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 69ddfe86..6e8962f5 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -89,7 +89,8 @@ jobs: X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'redis' X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 3 - X_AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 4 + # X_AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 4 + X_AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 16 # Currently no logging enabled # X_AIRFLOW__CORE__REMOTE_LOGGING: '' diff --git a/pollution_v2/infrastructure/ansible/hosts b/pollution_v2/infrastructure/ansible/hosts index 99f4a5d6..06b16745 100644 --- a/pollution_v2/infrastructure/ansible/hosts +++ b/pollution_v2/infrastructure/ansible/hosts @@ -1,6 +1,6 @@ [test] -docker03.testingmachine.eu ansible_user='noi-techpark-bot' ansible_ssh_common_args='-o StrictHostKeyChecking=no' +docker05.opendatahub.com ansible_user='noi-techpark-bot' ansible_ssh_common_args='-o StrictHostKeyChecking=no' [prod] docker05.opendatahub.com ansible_user='noi-techpark-bot' ansible_ssh_common_args='-o StrictHostKeyChecking=no' - \ No newline at end of file + From 31bbe8a950e49dc18200034ac2462aa7eb89c3f3 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Fri, 28 Jun 2024 14:10:39 +0200 Subject: [PATCH 130/154] pollution-v2: use test001 as prefix --- .github/workflows/ci-pollution-v2.yml | 1 + pollution_v2/infrastructure/docker-compose.run.yml | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 6e8962f5..60e0bfdf 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -91,6 +91,7 @@ jobs: X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 3 # X_AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 4 X_AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 16 + X_AIRFLOW_VAR_DATATYPE_PREFIX: test_001 # Currently no logging enabled # X_AIRFLOW__CORE__REMOTE_LOGGING: '' diff --git a/pollution_v2/infrastructure/docker-compose.run.yml b/pollution_v2/infrastructure/docker-compose.run.yml index 110c5288..a650d8f7 100644 --- a/pollution_v2/infrastructure/docker-compose.run.yml +++ b/pollution_v2/infrastructure/docker-compose.run.yml @@ -38,7 +38,7 @@ x-airflow-common: AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'redis' AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 10 - AIRFLOW_VAR_DATATYPE_PREFIX: "" + AIRFLOW_VAR_DATATYPE_PREFIX: ${AIRFLOW_VAR_DATATYPE_PREFIX} # AIRFLOW__CORE__REMOTE_LOGGING: '' # AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER: '' # AIRFLOW__CORE__REMOTE_LOG_CONN_ID: '' From c925286b3e1e901ba2942667b0063db4aca57eac Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Mon, 1 Jul 2024 09:11:50 +0200 Subject: [PATCH 131/154] pollution-v2: trigger ci --- .github/workflows/ci-pollution-v2.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 60e0bfdf..efab238c 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -101,6 +101,7 @@ jobs: # X_AIRFLOW_CONN_MINIO_S3_CONN: '' X_NO_PROXY: '*' + - name: Build and push images uses: noi-techpark/github-actions/docker-build-and-push@v2 with: From b54d7e034db28f5872e0481dbd7b5c42b72f0be3 Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Thu, 25 Jul 2024 16:59:01 +0200 Subject: [PATCH 132/154] traffic-quality: upgrade dependencies to use shared bdplib --- traffic-a22-data-quality/src/bdplib/auth.go | 96 ------ traffic-a22-data-quality/src/bdplib/client.go | 286 ------------------ traffic-a22-data-quality/src/dc/combine.go | 8 +- .../src/dc/combine_test.go | 3 +- traffic-a22-data-quality/src/dc/job.go | 8 +- traffic-a22-data-quality/src/dc/sum.go | 4 +- traffic-a22-data-quality/src/dc/sum_parent.go | 4 +- traffic-a22-data-quality/src/go.mod | 6 +- traffic-a22-data-quality/src/go.sum | 10 +- traffic-a22-data-quality/src/log/log.go | 43 --- traffic-a22-data-quality/src/main.go | 17 +- traffic-a22-data-quality/src/ninja/auth.go | 108 +++++++ traffic-a22-data-quality/src/ninja/ninja.go | 3 +- 13 files changed, 150 insertions(+), 446 deletions(-) delete mode 100644 traffic-a22-data-quality/src/bdplib/auth.go delete mode 100644 traffic-a22-data-quality/src/bdplib/client.go delete mode 100644 traffic-a22-data-quality/src/log/log.go create mode 100644 traffic-a22-data-quality/src/ninja/auth.go diff --git a/traffic-a22-data-quality/src/bdplib/auth.go b/traffic-a22-data-quality/src/bdplib/auth.go deleted file mode 100644 index c6d68a22..00000000 --- a/traffic-a22-data-quality/src/bdplib/auth.go +++ /dev/null @@ -1,96 +0,0 @@ -// SPDX-FileCopyrightText: NOI Techpark - -// SPDX-License-Identifier: AGPL-3.0-or-later - -package bdplib - -import ( - "encoding/json" - "io" - "log/slog" - "net/http" - "net/url" - "os" - "strconv" - "strings" - "time" -) - -type Token struct { - AccessToken string `json:"access_token"` - ExpiresIn int64 `json:"expires_in"` - NotBeforePolicy int64 `json:"not-before-policy"` - RefreshExpiresIn int64 `json:"refresh_expires_in"` - TokenType string `json:"token_type"` - RefreshToken string `json:"refresh_token"` - Scope string -} - -var tokenUrl string = os.Getenv("ODH_TOKEN_URL") -var clientId string = os.Getenv("ODH_CLIENT_ID") -var clientSecret string = os.Getenv("ODH_CLIENT_SECRET") - -var token Token - -var tokenExpiry int64 - -func GetToken() string { - ts := time.Now().Unix() - - if len(token.AccessToken) == 0 || ts > tokenExpiry { - // if no token is available or refreshToken is expired, get new token - newToken() - } - - return token.AccessToken -} - -func newToken() { - slog.Info("Getting new token...") - params := url.Values{} - params.Add("client_id", clientId) - params.Add("client_secret", clientSecret) - params.Add("grant_type", "client_credentials") - - authRequest(params) - - slog.Info("Getting new token done.") -} - -func authRequest(params url.Values) { - body := strings.NewReader(params.Encode()) - - req, err := http.NewRequest("POST", tokenUrl, body) - if err != nil { - slog.Error("error", err) - return - } - req.Header.Set("Content-Type", "application/x-www-form-urlencoded") - - resp, err := http.DefaultClient.Do(req) - if err != nil { - slog.Error("error", err) - return - } - defer resp.Body.Close() - - slog.Info("Auth response code is: " + strconv.Itoa(resp.StatusCode)) - if resp.StatusCode == http.StatusOK { - bodyBytes, err := io.ReadAll(resp.Body) - if err != nil { - slog.Error("error", err) - return - } - - err = json.Unmarshal(bodyBytes, &token) - if err != nil { - slog.Error("error", err) - return - } - } - - // calculate token expiry timestamp with 600 seconds margin - tokenExpiry = time.Now().Unix() + token.ExpiresIn - 600 - - slog.Debug("auth token expires in " + strconv.FormatInt(tokenExpiry, 10)) -} diff --git a/traffic-a22-data-quality/src/bdplib/client.go b/traffic-a22-data-quality/src/bdplib/client.go deleted file mode 100644 index 3784dc8e..00000000 --- a/traffic-a22-data-quality/src/bdplib/client.go +++ /dev/null @@ -1,286 +0,0 @@ -// SPDX-FileCopyrightText: NOI Techpark - -// SPDX-License-Identifier: AGPL-3.0-or-later - -package bdplib - -import ( - "bytes" - "encoding/json" - "errors" - "fmt" - "io" - "log/slog" - "net/http" - "os" - "strconv" -) - -type Provenance struct { - Lineage string `json:"lineage"` - DataCollector string `json:"dataCollector"` - DataCollectorVersion string `json:"dataCollectorVersion"` -} - -type DataType struct { - Name string `json:"name"` - Unit string `json:"unit"` - Description string `json:"description"` - Rtype string `json:"rType"` - Period uint32 `json:"period"` - MetaData map[string]string `json:"metaData"` -} - -type Station struct { - Id string `json:"id"` - Name string `json:"name"` - StationType string `json:"stationType,omitempty"` // when syncing, this needs to be null, blank string fails - Latitude float64 `json:"latitude"` - Longitude float64 `json:"longitude"` - Origin string `json:"origin"` - ParentStation string `json:"parentStation,omitempty"` - MetaData map[string]interface{} `json:"metaData"` -} - -type DataMap struct { - Name string `json:"name"` - Data []Record `json:"data"` - Branch map[string]DataMap `json:"branch"` - Provenance string `json:"provenance"` -} - -type Record struct { - Value interface{} `json:"value"` - Period uint64 `json:"period"` - Timestamp int64 `json:"timestamp"` -} - -const syncDataTypesPath string = "/syncDataTypes" -const syncStationsPath string = "/syncStations" -const pushRecordsPath string = "/pushRecords" -const getDateOfLastRecordPath string = "/getDateOfLastRecord" -const stationsPath string = "/stations" -const provenancePath string = "/provenance" - -var provenanceUuid string - -var BaseUrl string = os.Getenv("BDP_BASE_URL") + "/json" - -var Prv string = os.Getenv("BDP_PROVENANCE_VERSION") -var Prn string = os.Getenv("BDP_PROVENANCE_NAME") - -var Origin string = os.Getenv("BDP_ORIGIN") - -func SyncDataTypes(stationType string, dataTypes []DataType) { - pushProvenance() - - slog.Debug("Syncing data types...") - - url := BaseUrl + syncDataTypesPath + "?stationType=" + stationType + "&prn=" + Prn + "&prv=" + Prv - - postToWriter(dataTypes, url) - - slog.Debug("Syncing data types done.") -} - -func SyncStations(stationType string, stations []Station, syncState bool, onlyActivate bool) { - pushProvenance() - - slog.Info("Syncing " + strconv.Itoa(len(stations)) + " " + stationType + " stations...") - url := BaseUrl + syncStationsPath + "/" + stationType + "?prn=" + Prn + "&prv=" + Prv + "&syncState=" + strconv.FormatBool(syncState) + "&onlyActivation=" + strconv.FormatBool(onlyActivate) - postToWriter(stations, url) - slog.Info("Syncing stations done.") -} - -func PushData(stationType string, dataMap DataMap) { - pushProvenance() - if dataMap.Provenance == "" { - dataMap.Provenance = provenanceUuid - } - - slog.Info("Pushing records...") - url := BaseUrl + pushRecordsPath + "/" + stationType + "?prn=" + Prn + "&prv=" + Prv - postToWriter(dataMap, url) - slog.Info("Pushing records done.") -} - -func CreateDataType(name string, unit string, description string, rtype string) DataType { - // TODO add some checks - return DataType{ - Name: name, - Unit: unit, - Description: description, - Rtype: rtype, - } -} - -func CreateStation(id string, name string, stationType string, lat float64, lon float64, origin string) Station { - // TODO add some checks - var station = Station{ - Name: name, - StationType: stationType, - Latitude: lat, - Longitude: lon, - Origin: origin, - Id: id, - } - return station -} - -func CreateRecord(ts int64, value interface{}, period uint64) Record { - // TODO add some checks - record := Record{ - Value: value, - Timestamp: ts, - Period: period, - } - return record -} - -func createDataMap() DataMap { - var dataMap = DataMap{ - Name: "(default)", - Provenance: provenanceUuid, - Branch: make(map[string]DataMap), - } - return dataMap -} - -// add an array of record to dataMap -func (dataMap *DataMap) AddRecords(stationCode string, dataType string, records []Record) { - for _, record := range records { - dataMap.AddRecord(stationCode, dataType, record) - } -} - -// add one single record to dataMap -func (dataMap *DataMap) AddRecord(stationCode string, dataType string, record Record) { - if dataMap.Name == "" { - *dataMap = createDataMap() - } - - if dataMap.Branch[stationCode].Name == "" { - dataMap.Branch[stationCode] = DataMap{ - Name: "(default)", - Branch: make(map[string]DataMap), - } - slog.Debug("new station in branch " + stationCode) - } - - if dataMap.Branch[stationCode].Branch[dataType].Name == "" { - dataMap.Branch[stationCode].Branch[dataType] = DataMap{ - Name: "(default)", - Data: []Record{record}, - } - // to assign a value to a struct in a map, this code part is needed - // https://stackoverflow.com/a/69006398/8794667 - } else if entry, ok := dataMap.Branch[stationCode].Branch[dataType]; ok { - entry.Data = append(entry.Data, record) - dataMap.Branch[stationCode].Branch[dataType] = entry - } -} - -func postToWriter(data interface{}, fullUrl string) (string, error) { - json, err := json.Marshal(data) - if err != nil { - slog.Error("Error unmarshalling JSON POST data") - return "", err - } - - client := http.Client{} - req, err := http.NewRequest("POST", fullUrl, bytes.NewBuffer(json)) - if err != nil { - slog.Error("Error creating http POST request") - return "", err - } - - req.Header = http.Header{ - "Content-Type": {"application/json"}, - "Authorization": {"Bearer " + GetToken()}, - } - - res, err := client.Do(req) - if err != nil { - slog.Error("Error performing POST") - return "", err - } - - resb, err := io.ReadAll(res.Body) - if err != nil { - slog.Error("Error reading from Response body") - return "", err - } - ress := string(resb) - - if res.StatusCode != http.StatusOK && res.StatusCode != http.StatusCreated { - slog.Error("bdp POST returned with error", "statusCode", strconv.Itoa(res.StatusCode), "body", ress) - return "", errors.New("bdp POST returned non-OK status: " + strconv.Itoa(res.StatusCode)) - } - - return ress, nil -} - -func pushProvenance() { - if len(provenanceUuid) > 0 { - return - } - - slog.Info("Pushing provenance...") - slog.Info("prv: " + Prv + " prn: " + Prn) - - var provenance = Provenance{ - DataCollector: Prn, - DataCollectorVersion: Prv, - Lineage: Origin, - } - - url := BaseUrl + provenancePath + "?&prn=" + Prn + "&prv=" + Prv - - res, err := postToWriter(provenance, url) - - if err != nil { - slog.Error("error", "err", err) - } - - provenanceUuid = res - - slog.Info("Pushing provenance done", "uuid", provenanceUuid) -} - -func GetStations(stationType string, origin string) ([]Station, error) { - slog.Debug("Fetching stations", "stationType", stationType, "origin", origin) - - url := BaseUrl + stationsPath + fmt.Sprintf("/%s/?origin=%s&prn=%s&prv=%s", stationType, origin, Prn, Prv) - req, err := http.NewRequest(http.MethodGet, url, nil) - if err != nil { - return nil, fmt.Errorf("unable to create BDP HTTP Request: %w", err) - } - - req.Header = http.Header{ - "Content-Type": {"application/json"}, - "Authorization": {"Bearer " + GetToken()}, - } - - res, err := http.DefaultClient.Do(req) - if err != nil { - return nil, fmt.Errorf("error performing ninja request: %w", err) - } - defer res.Body.Close() - - if res.StatusCode != http.StatusOK { - return nil, errors.New("ninja request returned non-OK status: " + strconv.Itoa(res.StatusCode)) - } - - bodyBytes, err := io.ReadAll(res.Body) - if err != nil { - return nil, fmt.Errorf("unable to read response body: %w", err) - } - - result := []Station{} - err = json.Unmarshal(bodyBytes, &result) - if err != nil { - return nil, fmt.Errorf("error unmarshalling response JSON to provided interface: %w", err) - } - - return result, nil -} diff --git a/traffic-a22-data-quality/src/dc/combine.go b/traffic-a22-data-quality/src/dc/combine.go index 50d4434e..7e20f4cb 100644 --- a/traffic-a22-data-quality/src/dc/combine.go +++ b/traffic-a22-data-quality/src/dc/combine.go @@ -8,21 +8,21 @@ import ( "encoding/json" "regexp" "strings" - "traffic-a22-data-quality/bdplib" + "github.com/noi-techpark/go-bdp-client/bdplib" "golang.org/x/exp/maps" ) func combineJob() error { - children, err := bdplib.GetStations(baseStationType, origin) + children, err := bdp.GetStations(baseStationType, origin) if err != nil { return err } parents := combine(children) - bdplib.SyncStations(parentStationType, parents, true, false) - bdplib.SyncStations(baseStationType, children, false, false) + bdp.SyncStations(parentStationType, parents, true, false) + bdp.SyncStations(baseStationType, children, false, false) return nil } diff --git a/traffic-a22-data-quality/src/dc/combine_test.go b/traffic-a22-data-quality/src/dc/combine_test.go index f8ff7781..e8d9757c 100644 --- a/traffic-a22-data-quality/src/dc/combine_test.go +++ b/traffic-a22-data-quality/src/dc/combine_test.go @@ -7,7 +7,8 @@ package dc import ( "reflect" "testing" - "traffic-a22-data-quality/bdplib" + + "github.com/noi-techpark/go-bdp-client/bdplib" ) func TestMangleName(t *testing.T) { diff --git a/traffic-a22-data-quality/src/dc/job.go b/traffic-a22-data-quality/src/dc/job.go index f3c825a4..feca6dcb 100644 --- a/traffic-a22-data-quality/src/dc/job.go +++ b/traffic-a22-data-quality/src/dc/job.go @@ -7,7 +7,8 @@ package dc import ( "os" "strconv" - "traffic-a22-data-quality/bdplib" + + "github.com/noi-techpark/go-bdp-client/bdplib" ) var sumRequestLimit, _ = strconv.Atoi(os.Getenv("NINJA_QUERY_LIMIT")) @@ -27,11 +28,14 @@ const origin = "A22" var TotalType = bdplib.CreateDataType("Nr. Vehicles", "", "Number of vehicles", "total") +var bdp bdplib.Bdp + func syncDataTypes() { - bdplib.SyncDataTypes(baseStationType, []bdplib.DataType{TotalType}) + bdp.SyncDataTypes(baseStationType, []bdplib.DataType{TotalType}) } func Job() { + bdp = *bdplib.FromEnv() syncDataTypes() combineJob() sumJob() diff --git a/traffic-a22-data-quality/src/dc/sum.go b/traffic-a22-data-quality/src/dc/sum.go index c792a4c6..b55dd587 100644 --- a/traffic-a22-data-quality/src/dc/sum.go +++ b/traffic-a22-data-quality/src/dc/sum.go @@ -8,9 +8,9 @@ import ( "fmt" "log/slog" "time" - "traffic-a22-data-quality/bdplib" "traffic-a22-data-quality/ninja" + "github.com/noi-techpark/go-bdp-client/bdplib" "golang.org/x/exp/maps" "golang.org/x/sync/errgroup" ) @@ -115,7 +115,7 @@ func sumJob() { continue } - bdplib.PushData(baseStationType, bdpMap) + bdp.PushData(baseStationType, bdpMap) } } diff --git a/traffic-a22-data-quality/src/dc/sum_parent.go b/traffic-a22-data-quality/src/dc/sum_parent.go index 4c0043b8..f882fc00 100644 --- a/traffic-a22-data-quality/src/dc/sum_parent.go +++ b/traffic-a22-data-quality/src/dc/sum_parent.go @@ -8,9 +8,9 @@ import ( "fmt" "log/slog" "time" - "traffic-a22-data-quality/bdplib" "traffic-a22-data-quality/ninja" + "github.com/noi-techpark/go-bdp-client/bdplib" "golang.org/x/exp/maps" ) @@ -111,6 +111,6 @@ func sumParentJob() { recs.AddRecord(parId, dType, bdplib.CreateRecord(timestamp.UnixMilli(), value, periodAgg)) } } - bdplib.PushData(parentStationType, recs) + bdp.PushData(parentStationType, recs) } } diff --git a/traffic-a22-data-quality/src/go.mod b/traffic-a22-data-quality/src/go.mod index b03f68c8..8cb09df0 100644 --- a/traffic-a22-data-quality/src/go.mod +++ b/traffic-a22-data-quality/src/go.mod @@ -8,10 +8,12 @@ go 1.21 require github.com/go-co-op/gocron v1.37.0 +require github.com/noi-techpark/go-bdp-client v1.0.0 + require ( github.com/google/uuid v1.6.0 // indirect github.com/robfig/cron/v3 v3.0.1 // indirect go.uber.org/atomic v1.11.0 // indirect - golang.org/x/exp v0.0.0-20240205201215-2c58cdc269a3 - golang.org/x/sync v0.6.0 + golang.org/x/exp v0.0.0-20240719175910-8a7402abbf56 + golang.org/x/sync v0.7.0 ) diff --git a/traffic-a22-data-quality/src/go.sum b/traffic-a22-data-quality/src/go.sum index 74918acf..37bdf5fc 100644 --- a/traffic-a22-data-quality/src/go.sum +++ b/traffic-a22-data-quality/src/go.sum @@ -13,6 +13,8 @@ github.com/kr/pretty v0.3.0/go.mod h1:640gp4NfQd8pI5XOwp5fnNeVWj67G7CFk/SaSQn7NB github.com/kr/pty v1.1.1/go.mod h1:pFQYn66WHrOpPYNljwOMqo10TkYh1fy3cYio2l3bCsQ= github.com/kr/text v0.1.0/go.mod h1:4Jbv+DJW3UT/LiOwJeYQe1efqtUx/iVham/4vfdArNI= github.com/kr/text v0.2.0/go.mod h1:eLer722TekiGuMkidMxC/pM04lWEeraHUUmBw8l2grE= +github.com/noi-techpark/go-bdp-client v1.0.0 h1:mXRGzGehKaFVLl7gKhbXQyzL7SkvFRgGJs265mVxO5o= +github.com/noi-techpark/go-bdp-client v1.0.0/go.mod h1:aooKwED49M7Au+9Y/o8wW/4yggIvaVRHc0JJvPnS10c= github.com/pkg/diff v0.0.0-20210226163009-20ebb0f2a09e/go.mod h1:pJLUxLENpZxwdsKMEsNbx1VGcRFpLqf3715MtcvvzbA= github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM= github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4= @@ -31,10 +33,10 @@ github.com/stretchr/testify v1.8.2/go.mod h1:w2LPCIKwWwSfY2zedu0+kehJoqGctiVI29o go.uber.org/atomic v1.9.0/go.mod h1:fEN4uk6kAWBTFdckzkM89CLk9XfWZrxpCo0nPH17wJc= go.uber.org/atomic v1.11.0 h1:ZvwS0R+56ePWxUNi+Atn9dWONBPp/AUETXlHW0DxSjE= go.uber.org/atomic v1.11.0/go.mod h1:LUxbIzbOniOlMKjJjyPfpl4v+PKK2cNJn91OQbhoJI0= -golang.org/x/exp v0.0.0-20240205201215-2c58cdc269a3 h1:/RIbNt/Zr7rVhIkQhooTxCxFcdWLGIKnZA4IXNFSrvo= -golang.org/x/exp v0.0.0-20240205201215-2c58cdc269a3/go.mod h1:idGWGoKP1toJGkd5/ig9ZLuPcZBC3ewk7SzmH0uou08= -golang.org/x/sync v0.6.0 h1:5BMeUDZ7vkXGfEr1x9B4bRcTH4lpkTkpdh0T/J+qjbQ= -golang.org/x/sync v0.6.0/go.mod h1:Czt+wKu1gCyEFDUtn0jG5QVvpJ6rzVqr5aXyt9drQfk= +golang.org/x/exp v0.0.0-20240719175910-8a7402abbf56 h1:2dVuKD2vS7b0QIHQbpyTISPd0LeHDbnYEryqj5Q1ug8= +golang.org/x/exp v0.0.0-20240719175910-8a7402abbf56/go.mod h1:M4RDyNAINzryxdtnbRXRL/OHtkFuWGRjvuhBJpk2IlY= +golang.org/x/sync v0.7.0 h1:YsImfSBoP9QPYL0xyKJPq0gcaJdG3rInoqxTWbfQu9M= +golang.org/x/sync v0.7.0/go.mod h1:Czt+wKu1gCyEFDUtn0jG5QVvpJ6rzVqr5aXyt9drQfk= gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0= gopkg.in/check.v1 v1.0.0-20180628173108-788fd7840127/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0= gopkg.in/check.v1 v1.0.0-20201130134442-10cb98267c6c/go.mod h1:JHkPIbrfpd72SG/EVd6muEfDQjcINNoR0C8j2r3qZ4Q= diff --git a/traffic-a22-data-quality/src/log/log.go b/traffic-a22-data-quality/src/log/log.go deleted file mode 100644 index 0222bac4..00000000 --- a/traffic-a22-data-quality/src/log/log.go +++ /dev/null @@ -1,43 +0,0 @@ -// SPDX-FileCopyrightText: NOI Techpark - -// SPDX-License-Identifier: AGPL-3.0-or-later - -package log - -import ( - "log/slog" - "os" - "strings" -) - -// read logger level from env and uses INFO as default -func InitLogger() { - - logLevel := os.Getenv("LOG_LEVEL") - - level := new(slog.LevelVar) - - level.Set(parseLogLevel(logLevel)) - - logger := slog.New(slog.NewJSONHandler(os.Stdout, &slog.HandlerOptions{ - Level: level, - })) - slog.SetDefault(logger) - - slog.Info("Start logger with level: " + logLevel) -} - -func parseLogLevel(level string) slog.Level { - switch strings.ToUpper(level) { - case "DEBUG": - return slog.LevelDebug - case "WARNING": - return slog.LevelWarn - case "ERROR": - return slog.LevelError - case "INFO": - return slog.LevelInfo - default: - return slog.LevelInfo - } -} diff --git a/traffic-a22-data-quality/src/main.go b/traffic-a22-data-quality/src/main.go index e3e50636..05e4f4b2 100644 --- a/traffic-a22-data-quality/src/main.go +++ b/traffic-a22-data-quality/src/main.go @@ -9,13 +9,26 @@ import ( "os" "time" "traffic-a22-data-quality/dc" - "traffic-a22-data-quality/log" "github.com/go-co-op/gocron" ) +// read logger level from env and uses INFO as default +func initLogging() { + logLevel := os.Getenv("LOG_LEVEL") + + level := new(slog.LevelVar) + level.UnmarshalText([]byte(logLevel)) + + slog.SetDefault(slog.New(slog.NewJSONHandler(os.Stdout, &slog.HandlerOptions{ + Level: level, + }))) + + slog.Info("Start logger with level: " + logLevel) +} + func main() { - log.InitLogger() + initLogging() cron := os.Getenv("SCHEDULER_CRON") slog.Debug("Cron defined as: " + cron) diff --git a/traffic-a22-data-quality/src/ninja/auth.go b/traffic-a22-data-quality/src/ninja/auth.go new file mode 100644 index 00000000..a8c7daa0 --- /dev/null +++ b/traffic-a22-data-quality/src/ninja/auth.go @@ -0,0 +1,108 @@ +// SPDX-FileCopyrightText: 2024 NOI Techpark +// +// SPDX-License-Identifier: AGPL-3.0-or-later + +package ninja + +/************************************************************************************************* +* THIS IS A COPYPASTE OF github.com/noi-techpark/go-bdp-client/blob/main/bdplib/auth.go@v1.0.0 +***************************************************************************************************/ + +import ( + "encoding/json" + "io" + "log/slog" + "net/http" + "net/url" + "os" + "strconv" + "strings" + "time" +) + +type Token struct { + AccessToken string `json:"access_token"` + ExpiresIn int64 `json:"expires_in"` + NotBeforePolicy int64 `json:"not-before-policy"` + RefreshExpiresIn int64 `json:"refresh_expires_in"` + TokenType string `json:"token_type"` + RefreshToken string `json:"refresh_token"` + Scope string +} + +type Auth struct { + TokenUrl string + ClientId string + ClientSecret string + token Token + tokenExpiry int64 +} + +func AuthFromEnv() *Auth { + a := Auth{} + a.TokenUrl = os.Getenv("ODH_TOKEN_URL") + a.ClientId = os.Getenv("ODH_CLIENT_ID") + a.ClientSecret = os.Getenv("ODH_CLIENT_SECRET") + return &a +} + +func (a *Auth) getToken() string { + ts := time.Now().Unix() + + if len(a.token.AccessToken) == 0 || ts > a.tokenExpiry { + // if no token is available or refreshToken is expired, get new token + a.newToken() + } + + return a.token.AccessToken +} + +func (a *Auth) newToken() { + slog.Info("Getting new token...") + params := url.Values{} + params.Add("client_id", a.ClientId) + params.Add("client_secret", a.ClientSecret) + params.Add("grant_type", "client_credentials") + + a.authRequest(params) + + slog.Info("Getting new token done.") +} + +func (a *Auth) authRequest(params url.Values) { + body := strings.NewReader(params.Encode()) + + req, err := http.NewRequest("POST", a.TokenUrl, body) + if err != nil { + slog.Error("error", "err", err) + return + } + req.Header.Set("Content-Type", "application/x-www-form-urlencoded") + + resp, err := http.DefaultClient.Do(req) + if err != nil { + slog.Error("error", "err", err) + return + } + defer resp.Body.Close() + + slog.Info("Auth response code is: " + strconv.Itoa(resp.StatusCode)) + if resp.StatusCode == http.StatusOK { + bodyBytes, err := io.ReadAll(resp.Body) + if err != nil { + slog.Error("error", "err", err) + return + } + + err = json.Unmarshal(bodyBytes, &a.token) + if err != nil { + slog.Error("error", "err", err) + return + } + } + + // calculate token expiry timestamp with 600 seconds margin + a.tokenExpiry = time.Now().Unix() + a.token.ExpiresIn - 600 + + slog.Debug("auth token expires in " + strconv.FormatInt(a.tokenExpiry, 10)) +} diff --git a/traffic-a22-data-quality/src/ninja/ninja.go b/traffic-a22-data-quality/src/ninja/ninja.go index aeaa7db7..fcfb96c3 100644 --- a/traffic-a22-data-quality/src/ninja/ninja.go +++ b/traffic-a22-data-quality/src/ninja/ninja.go @@ -14,7 +14,6 @@ import ( "net/url" "os" "strconv" - "traffic-a22-data-quality/bdplib" ) const RequestTimeFormat = "2006-01-02T15:04:05.000-0700" @@ -114,7 +113,7 @@ func requestUrl[T any](reqUrl *url.URL, result *NinjaResponse[T]) error { req.Header = http.Header{ "Referer": {Referer}, - "Authorization": {"Bearer " + bdplib.GetToken()}, + "Authorization": {"Bearer " + AuthFromEnv().getToken()}, // TODO: separate out authentication "Accept": {"application/json"}, } From cd73d0f540c1871525337b395053d3ec5282ee2a Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Thu, 25 Jul 2024 17:03:30 +0200 Subject: [PATCH 133/154] traffic-quality: fix docker compose version tag --- .../infrastructure/docker-compose.build.yml | 2 -- traffic-a22-data-quality/infrastructure/docker-compose.run.yml | 2 -- 2 files changed, 4 deletions(-) diff --git a/traffic-a22-data-quality/infrastructure/docker-compose.build.yml b/traffic-a22-data-quality/infrastructure/docker-compose.build.yml index 5a97148f..39a54c40 100644 --- a/traffic-a22-data-quality/infrastructure/docker-compose.build.yml +++ b/traffic-a22-data-quality/infrastructure/docker-compose.build.yml @@ -1,5 +1,3 @@ -version: '3.4' - services: app: image: ${DOCKER_IMAGE}:${DOCKER_TAG} diff --git a/traffic-a22-data-quality/infrastructure/docker-compose.run.yml b/traffic-a22-data-quality/infrastructure/docker-compose.run.yml index 4aee574e..ea8307b2 100644 --- a/traffic-a22-data-quality/infrastructure/docker-compose.run.yml +++ b/traffic-a22-data-quality/infrastructure/docker-compose.run.yml @@ -1,5 +1,3 @@ -version: '3.4' - services: app: image: ${DOCKER_IMAGE}:${DOCKER_TAG} From c3cd4377568019af00cfff5cec50f1cd270cea82 Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Thu, 25 Jul 2024 17:22:07 +0200 Subject: [PATCH 134/154] traffic-quality: don't request ninja token every request --- traffic-a22-data-quality/src/ninja/auth.go | 2 ++ traffic-a22-data-quality/src/ninja/ninja.go | 2 +- 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/traffic-a22-data-quality/src/ninja/auth.go b/traffic-a22-data-quality/src/ninja/auth.go index a8c7daa0..ba6cecd2 100644 --- a/traffic-a22-data-quality/src/ninja/auth.go +++ b/traffic-a22-data-quality/src/ninja/auth.go @@ -38,6 +38,8 @@ type Auth struct { tokenExpiry int64 } +var defaultAuth Auth = *AuthFromEnv() + func AuthFromEnv() *Auth { a := Auth{} a.TokenUrl = os.Getenv("ODH_TOKEN_URL") diff --git a/traffic-a22-data-quality/src/ninja/ninja.go b/traffic-a22-data-quality/src/ninja/ninja.go index fcfb96c3..fd545504 100644 --- a/traffic-a22-data-quality/src/ninja/ninja.go +++ b/traffic-a22-data-quality/src/ninja/ninja.go @@ -113,7 +113,7 @@ func requestUrl[T any](reqUrl *url.URL, result *NinjaResponse[T]) error { req.Header = http.Header{ "Referer": {Referer}, - "Authorization": {"Bearer " + AuthFromEnv().getToken()}, // TODO: separate out authentication + "Authorization": {"Bearer " + defaultAuth.getToken()}, // TODO: separate out authentication "Accept": {"application/json"}, } From 076e86ab6da32200a5673dc743a25c95a68caf32 Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Thu, 25 Jul 2024 17:25:00 +0200 Subject: [PATCH 135/154] traffic-quality: fix nil err --- traffic-a22-data-quality/src/dc/sum.go | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/traffic-a22-data-quality/src/dc/sum.go b/traffic-a22-data-quality/src/dc/sum.go index b55dd587..847afe17 100644 --- a/traffic-a22-data-quality/src/dc/sum.go +++ b/traffic-a22-data-quality/src/dc/sum.go @@ -105,7 +105,7 @@ func sumJob() { } }() - bdpMap := bdplib.DataMap{} + bdpMap := bdp.CreateDataMap() for r := range recs { bdpMap.AddRecord(r.st, r.t, r.r) } From d91f8ecc961d1ea9410e11d745f1484de22ac08e Mon Sep 17 00:00:00 2001 From: Marco Angheben Date: Fri, 26 Jul 2024 09:16:56 +0200 Subject: [PATCH 136/154] pollution_v2: imgs path updated for github and more info on parco circolante --- pollution_v2/README.md | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/pollution_v2/README.md b/pollution_v2/README.md index 721dbea3..c65277d0 100644 --- a/pollution_v2/README.md +++ b/pollution_v2/README.md @@ -16,7 +16,7 @@ The TrafficData is periodically pulled from the A22 collection, data validation ### Architecture -![project structure](./documentation/UML Architecture.png) +![project structure](/pollution_v2/documentation/UML Architecture.png) **Components**: @@ -28,7 +28,7 @@ The TrafficData is periodically pulled from the A22 collection, data validation The following sequence diagram describes how Airflow and the DAGs (validation or pollution computing) interact in order to process ODH data. -![sequence diagram](./documentation/UML Sequence Diagram.png) +![sequence diagram](/pollution_v2/documentation/UML Sequence Diagram.png) Please note the following, apparently contrasting with Airflow capabilities of scheduling DAGs in backfill mode. @@ -105,6 +105,12 @@ The folder `pollution_v2/src/pollution_connector/model/input` contains a dedicat (e.g. `fc_info_2018.csv`) with a default one containing default values in case of processing a year with the corresponding file missing (`fc_info.csv`). +When processing data for a specific year, the DAG looks for the file `fc_.csv`: if found, the file is used, +otherwise the system will use the default file `fc.csv` (e.g. with files `fc_2022.csv`, `fc_2023.csv` and `fc.csv`, +when processing data for the year 2023 the system will use `fc_2023.csv` and when processing data for 2020 and/or 2024 +the system will use `fc.csv`. No configuration needs to be changed, just add the updated file, clean already +processed records and let the DAGs run. + To update the "parco circolante" for a specific year, just add the corresponding file (and update the default file, if appropriate) and then [reset the Airflow cache](#Reset-Airflow-Redis-cache) for the previously computed data. From 1e2ab64d07998de3ee16389636d670e7feeee02a Mon Sep 17 00:00:00 2001 From: Nicola Date: Fri, 9 Aug 2024 14:05:54 +0200 Subject: [PATCH 137/154] update README with validation process description --- pollution_v2/README.md | 34 ++++++++++++++++++++++++++++++++++ 1 file changed, 34 insertions(+) diff --git a/pollution_v2/README.md b/pollution_v2/README.md index 721dbea3..bf128f28 100644 --- a/pollution_v2/README.md +++ b/pollution_v2/README.md @@ -24,6 +24,40 @@ The TrafficData is periodically pulled from the A22 collection, data validation - *Data validator*: This component downloads traffic data from ODH, validates them and upload them again into ODH. - *Pollution computer*: This task handles the computation of a batch of measures. It downloads the traffic data from the OpenDataHub (Using the TrafficMeasure connector), computes the pollution measures (using the Pollution Computation Model) and it uploads the new measure to the ODH using the PollutionMeasure connector. +#### Validation Algorithm Criteria + +The validation algorithm is designed to assign a validity flag (`is_valid`) to traffic data, which can be either 1 (valid), 0 (not valid) or 999 (None). This flag is determined through a three-layer validation process: + +1. **Layer 1 - Daily traffic volume assessment at individual stations** + This layer compares the total number of vehicles recorded at a monitoring station throughout the day against statistically derived historical data. If historical data is unavailable for a specific station, data from neighboring stations is used, assuming similar average behavior. The statistical comparison uses the Z-score method, which assesses how much the current value deviates from a reference parameter. This parameter is historically determined based on the day type (weekday or holiday) and the time of year. The calculated Z-score is compared to an acceptable range defined by lower and upper boundaries. + + 1. **Layer 1.1 - Consistency check with adjacent sations** + If a daily data set is flagged as invalid by Layer 1, an additional check evaluates whether the anomaly detected at one station systematically occurs at neighboring stations. This helps identify potential false positives, particularly when anomalies might be due to genuine, significant changes in road conditions rather than data errors. Here, the Z-score method is also used, but the reference parameter is based on values observed at adjacent stations instead of historical data. + +2. **Layer 2 - Daily traffic volume evaluation on individual lanes** + This layer mirrors Layer 1 but focuses on the ratio of daily traffic volumes between driving and passing lanes. This ratio is compared with historical data. This validation criterion helps detect anomalies in a single lane's traffic sensor that aren't significant enough to cause a Layer 1 validation failure. + +3. **Layer 3 - Time series anomalies** + Layer 3 assesses the consistency of daily time series data, identifying anomalies such as sudden increases or decreases and persistent null values. + +Each layer assigns a validation flag to the data, which are then combined to determine a final, unified validation state. + +The validation parameters are defined in the file `pollution_v2/src/config/validator.yaml`. The Z-score limit parameters can be set to *null* to effectively disable their influence. + +| Layer | Parameter | Description | Default | +|-------|-----------|-----------------------------------------------------------------------------------------|---------| +| 1 | low | Lower limit of the Z-score | -2.5 | +| 1 | high | Upper limit of the Z-score | *null* | +| 1 | n | Number of upstream and downstream stations to consider if there is no reference history | 3 | +| 1.1 | low | Lower limit of the Z-score | -2 | +| 1.1 | high | Upper limit of the Z-score | *null* | +| 1.1 | n | Number of upstream and downstream stations to consider for continuity check | 2 | +| 2 | low | Lower limit of the Z-score | -5 | +| 2 | high | Upper limit of the Z-score | 5 | +| 2 | n | Number of upstream and downstream stations to consider if there is no reference history | 4 | + +Layer 3 has no adjustable parameters. + ### Sequence The following sequence diagram describes how Airflow and the DAGs (validation or pollution computing) interact in order to process ODH data. From 95d859f3cf9ab569564444fff144d2bcdcf32244 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 10 Jul 2024 09:41:14 +0200 Subject: [PATCH 138/154] pollution v2: ci/cd remove test prefix --- .github/workflows/ci-pollution-v2.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index efab238c..c4c1b6e4 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -91,7 +91,7 @@ jobs: X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 3 # X_AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 4 X_AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 16 - X_AIRFLOW_VAR_DATATYPE_PREFIX: test_001 + # X_AIRFLOW_VAR_DATATYPE_PREFIX: test_001 # Currently no logging enabled # X_AIRFLOW__CORE__REMOTE_LOGGING: '' From 889842d74a53b25148aa8167caf7000eb59497ae Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 21 Aug 2024 13:45:07 +0200 Subject: [PATCH 139/154] pollution: disbale pollution_v1 ci completly and add cron timezone shift to v2 --- .github/workflows/ci-pollution-v2.yml | 115 ++++++++- .github/workflows/ci-pollution.yml | 350 +++++++++++++------------- 2 files changed, 286 insertions(+), 179 deletions(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index c4c1b6e4..22d79c47 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -11,16 +11,16 @@ env: WORKING_DIRECTORY: pollution_v2 PROJECT_NAME: odh-mobility-el-pollution-v2 DOCKER_IMAGE: ghcr.io/${{ github.repository }}/odh-mobility-el-pollution-v2 - DOCKER_TAG: ${{ github.sha }} jobs: # Deploy Test deploy-test-pollution-v2: - runs-on: ubuntu-22.04 + runs-on: ubuntu-24.04 if: github.ref == 'refs/heads/main' concurrency: deploy-test-pollution-v2 env: KEYCLOAK_URL: https://auth.opendatahub.testingmachine.eu + DOCKER_TAG: ${{ github.sha }}-test steps: - name: Checkout source code uses: noi-techpark/github-actions/checkout@v2 @@ -82,6 +82,9 @@ jobs: X_AIRFLOW_WWW_USER_USERNAME: ${{ secrets.AIRFLOW_WWW_USER_USERNAME }} X_AIRFLOW_WWW_USER_PASSWORD: ${{ secrets.AIRFLOW_WWW_USER_PASSWORD }} + X_AIRFLOW_VAR_DAG_POLLUTION_EXECUTION_CRONTAB: 0 4 * * * + X_AIRFLOW_VAR_DAG_VALIDATION_EXECUTION_CRONTAB: 0 2 * * * + # username/pass not needed with client_credentials X_AIRFLOW_VAR_ODH_PASSWORD: 'ODH_PASSWORD' X_AIRFLOW_VAR_ODH_USERNAME: 'ODH_USERNAME' @@ -91,7 +94,6 @@ jobs: X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 3 # X_AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 4 X_AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 16 - # X_AIRFLOW_VAR_DATATYPE_PREFIX: test_001 # Currently no logging enabled # X_AIRFLOW__CORE__REMOTE_LOGGING: '' @@ -120,4 +122,109 @@ jobs: project-name: ${{ env.PROJECT_NAME }} # Deploy Prod - # TODO + # deploy-test-pollution-v2: + # runs-on: ubuntu-24.04 + # if: github.ref == 'refs/heads/prod' + # concurrency: deploy-prod-pollution-v2 + # env: + # KEYCLOAK_URL: https://auth.opendatahub.com + # DOCKER_TAG: ${{ github.sha }}-prod + # steps: + # - name: Checkout source code + # uses: noi-techpark/github-actions/checkout@v2 + # - name: Create .env file + # uses: noi-techpark/github-actions/env-file@v2 + # with: + # working-directory: ${{ env.WORKING_DIRECTORY }} + # env: + # # General deployment options + # X_COMPOSE_PROJECT_NAME: ${{ env.PROJECT_NAME }} + # X_DOCKER_IMAGE: ${{ env.DOCKER_IMAGE }} + # X_DOCKER_TAG: ${{ env.DOCKER_TAG }} + # + # X_LOG_LEVEL: INFO + # X_LOG_LEVEL_LIBS: INFO + # + # X_SERVER_PORT: 1098 + # + # X_pollution-v2_TASK_SCHEDULING_MINUTE: "*/10" + # X_pollution-v2_TASK_SCHEDULING_HOUR: "*" + # + # X_ODH_BASE_READER_URL: https://mobility.api.opendatahub.com + # X_ODH_BASE_WRITER_URL: https://share.opendatahub.com + # X_ODH_AUTHENTICATION_URL: ${{ env.KEYCLOAK_URL }}/auth/ + # X_ODH_CLIENT_ID: odh-a22-dataprocessor + # X_ODH_CLIENT_SECRET: ${{ secrets.COMBINED_CLIENT_SECRET_PROD }} + # X_ODH_GRANT_TYPE: client_credentials + # X_ODH_PAGINATION_SIZE: 10000 + # X_ODH_MAX_POST_BATCH_SIZE: 10000 + # X_PROVENANCE_NAME: ${{ env.PROJECT_NAME }} + # X_PROVENANCE_VERSION: ${{ github.sha }} + # + # X_AIRFLOW_PROJ_DIR: /opt/pollution-v2 + # X_AIRFLOW_UID: 5000 + # X_AIRFLOW__CORE__EXECUTOR: CeleryExecutor + # X_AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow + # X_AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://airflow:airflow@postgres/airflow + # X_AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0 + # X_AIRFLOW__CORE__FERNET_KEY: '' + # X_AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true' + # X_AIRFLOW__CORE__LOAD_EXAMPLES: 'false' + # X_AIRFLOW__API__AUTH_BACKENDS: 'airflow.api.auth.backend.basic_auth,airflow.api.auth.backend.session' + # # yamllint disable rule:line-length + # # Use simple http server on scheduler for health checks + # # See https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/logging-monitoring/check-health.html#scheduler-health-check-server + # # yamllint enable rule:line-length + # X_AIRFLOW__SCHEDULER__ENABLE_HEALTH_CHECK: 'true' + # # WARNING: Use _PIP_ADDITIONAL_REQUIREMENTS option ONLY for a quick checks + # # for other purpose (development, test and especially production usage) build/extend Airflow image. + # X__PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-} + # X_AIRFLOW_VAR_ODH_AUTHENTICATION_URL: ${{ env.KEYCLOAK_URL }}/auth/ + # X_AIRFLOW_VAR_ODH_BASE_READER_URL: 'https://mobility.api.opendatahub.com' + # X_AIRFLOW_VAR_ODH_BASE_WRITER_URL: 'https://share.opendatahub.com' + # X_AIRFLOW_VAR_ODH_CLIENT_ID: 'odh-a22-dataprocessor' + # X_AIRFLOW_VAR_ODH_CLIENT_SECRET: ${{ secrets.COMBINED_CLIENT_SECRET_PROD }} + # X_AIRFLOW_VAR_ODH_GRANT_TYPE: client_credentials + # X_AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE: '10000' + # X_AIRFLOW_VAR_ODH_PAGINATION_SIZE: '10000' + # X_AIRFLOW_WWW_USER_USERNAME: ${{ secrets.AIRFLOW_WWW_USER_USERNAME }} + # X_AIRFLOW_WWW_USER_PASSWORD: ${{ secrets.AIRFLOW_WWW_USER_PASSWORD }} + # + # X_AIRFLOW_VAR_DAG_POLLUTION_EXECUTION_CRONTAB: 0 4 * * * + # X_AIRFLOW_VAR_DAG_VALIDATION_EXECUTION_CRONTAB: 0 2 * * * + # + # # username/pass not needed with client_credentials + # X_AIRFLOW_VAR_ODH_PASSWORD: 'ODH_PASSWORD' + # X_AIRFLOW_VAR_ODH_USERNAME: 'ODH_USERNAME' + # X_AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE: "2017-01-01" + # X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'redis' + # X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 + # X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 3 + # # X_AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 4 + # X_AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 16 + # + # # Currently no logging enabled + # # X_AIRFLOW__CORE__REMOTE_LOGGING: '' + # # X_AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER: '' + # # X_AIRFLOW__CORE__REMOTE_LOG_CONN_ID: '' + # # X_AIRFLOW__CORE__ENCRYPT_S3_LOGS: '' + # # X_AIRFLOW_CONN_MINIO_S3_CONN: '' + # X_NO_PROXY: '*' + # + # + # - name: Build and push images + # uses: noi-techpark/github-actions/docker-build-and-push@v2 + # with: + # working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure + # docker-username: ${{ github.actor }} + # docker-password: ${{ secrets.GITHUB_TOKEN }} + # + # - name: Deploy application + # uses: noi-techpark/github-actions/docker-deploy@v2 + # with: + # working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure/ansible + # hosts: 'prod' + # ssh-private-key: ${{ secrets.SSH_PRIVATE_KEY }} + # docker-username: 'noi-techpark-bot' + # docker-password: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }} + # project-name: ${{ env.PROJECT_NAME }} diff --git a/.github/workflows/ci-pollution.yml b/.github/workflows/ci-pollution.yml index 455321aa..96146185 100644 --- a/.github/workflows/ci-pollution.yml +++ b/.github/workflows/ci-pollution.yml @@ -1,175 +1,175 @@ -name: CI/CD pollution - -on: - push: - paths: - - "pollution/**" - - ".github/workflows/ci-pollution.yml" - - "!*.md" - -env: - WORKING_DIRECTORY: pollution - PROJECT_NAME: odh-mobility-el-pollution - DOCKER_IMAGE: ghcr.io/${{ github.repository }}/odh-mobility-el-pollution - DOCKER_TAG: ${{ github.sha }} - -jobs: - test: - runs-on: ubuntu-22.04 - steps: - - name: Checkout source code - uses: noi-techpark/github-actions/checkout@v2 - - name: REUSE Compliance Check - uses: fsfe/reuse-action@v1 - - - name: install setuptools needed to use distutils with python > 3.12 - run: python3 -m pip install setuptools - - - name: Test code - uses: noi-techpark/github-actions/pip-test@v2 - with: - working-directory: ${{ env.WORKING_DIRECTORY }} - test-command: | - echo "WARNING: NO TESTS FOUND!" - - # Deploy Test - deploy-test-pollution: - runs-on: ubuntu-22.04 - if: github.ref == 'refs/heads/main' - needs: test - concurrency: deploy-test-pollution - env: - KEYCLOAK_URL: https://auth.opendatahub.testingmachine.eu - steps: - - name: Checkout source code - uses: noi-techpark/github-actions/checkout@v2 - - name: Create .env file - uses: noi-techpark/github-actions/env-file@v2 - with: - working-directory: ${{ env.WORKING_DIRECTORY }} - env: - # General deployment options - X_COMPOSE_PROJECT_NAME: ${{ env.PROJECT_NAME }} - X_DOCKER_IMAGE: ${{ env.DOCKER_IMAGE }} - X_DOCKER_TAG: ${{ env.DOCKER_TAG }} - - X_LOG_LEVEL: INFO - X_LOG_LEVEL_LIBS: INFO - - X_CELERY_BROKER_URL: redis://pollution-connector-redis:6379/1 - X_CELERY_BACKEND_URL: redis://pollution-connector-redis:6379/2 - X_CELERY_RESULT_EXPIRATION_SECONDS: "604800" - - X_POLLUTION_TASK_SCHEDULING_MINUTE: "*/10" - X_POLLUTION_TASK_SCHEDULING_HOUR: "*" - - X_ODH_BASE_READER_URL: https://mobility.api.opendatahub.testingmachine.eu - X_ODH_BASE_WRITER_URL: https://share.opendatahub.testingmachine.eu - X_ODH_AUTHENTICATION_URL: https://auth.opendatahub.testingmachine.eu/auth/ - X_ODH_CLIENT_ID: odh-a22-dataprocessor - X_ODH_CLIENT_SECRET: ${{ secrets.COMBINED_CLIENT_SECRET_TEST }} - X_ODH_GRANT_TYPE: client_credentials - X_ODH_PAGINATION_SIZE: 10000 - X_ODH_MAX_POST_BATCH_SIZE: 10000 - X_PROVENANCE_NAME: ${{ env.PROJECT_NAME }} - X_PROVENANCE_VERSION: ${{ github.sha }} - - # Force python to not buffer stdout - X_PYTHONUNBUFFERED: "true" - - X_ODH_COMPUTATION_BATCH_SIZE: 7 - X_COMPUTATION_CHECKPOINT_REDIS_HOST: pollution-connector-redis - X_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 - X_COMPUTATION_CHECKPOINT_REDIS_DB: 3 - - # use 2018 for first import, otherwise a more recent date - # X_ODH_MINIMUM_STARTING_DATE : "2018-01-01" - X_ODH_MINIMUM_STARTING_DATE : "2023-07-01 00:00:00+00:00" - - - - name: Build and push images - uses: noi-techpark/github-actions/docker-build-and-push@v2 - with: - working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure - docker-username: ${{ github.actor }} - docker-password: ${{ secrets.GITHUB_TOKEN }} - - - name: Deploy application - uses: noi-techpark/github-actions/docker-deploy@v2 - with: - working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure/ansible - hosts: 'test' - ssh-private-key: ${{ secrets.SSH_PRIVATE_KEY }} - docker-username: 'noi-techpark-bot' - docker-password: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }} - project-name: ${{ env.PROJECT_NAME }} - - # Deploy Prod - deploy-prod-pollution: - runs-on: ubuntu-22.04 - if: github.ref == 'refs/heads/prod' - needs: test - concurrency: deploy-prod-pollution - env: - KEYCLOAK_URL: https://auth.opendatahub.com - steps: - - name: Checkout source code - uses: noi-techpark/github-actions/checkout@v2 - - name: Create .env file - uses: noi-techpark/github-actions/env-file@v2 - with: - working-directory: ${{ env.WORKING_DIRECTORY }} - env: - X_COMPOSE_PROJECT_NAME: ${{ env.PROJECT_NAME }} - X_DOCKER_IMAGE: ${{ env.DOCKER_IMAGE }} - X_DOCKER_TAG: ${{ env.DOCKER_TAG }} - - X_LOG_LEVEL: INFO - X_LOG_LEVEL_LIBS: INFO - - X_CELERY_BROKER_URL: redis://pollution-connector-redis:6379/1 - X_CELERY_BACKEND_URL: redis://pollution-connector-redis:6379/2 - X_CELERY_RESULT_EXPIRATION_SECONDS: "604800" - - X_POLLUTION_TASK_SCHEDULING_MINUTE: "*/10" - X_POLLUTION_TASK_SCHEDULING_HOUR: "*" - - X_ODH_BASE_READER_URL: https://mobility.api.opendatahub.com - X_ODH_BASE_WRITER_URL: https://mobility.share.opendatahub.com - X_ODH_AUTHENTICATION_URL: https://auth.opendatahub.com/auth/ - X_ODH_CLIENT_ID: odh-a22-dataprocessor - X_ODH_CLIENT_SECRET: ${{ secrets.COMBINED_CLIENT_SECRET_PROD }} - X_ODH_GRANT_TYPE: client_credentials - X_ODH_PAGINATION_SIZE: 10000 - X_ODH_MAX_POST_BATCH_SIZE: 10000 - X_PROVENANCE_NAME: ${{ env.PROJECT_NAME }} - X_PROVENANCE_VERSION: ${{ github.sha }} - - X_ODH_COMPUTATION_BATCH_SIZE: 7 - X_COMPUTATION_CHECKPOINT_REDIS_HOST: pollution-connector-redis - X_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 - X_COMPUTATION_CHECKPOINT_REDIS_DB: 3 - - # use 2018 for first import, otherwise a more recent date - # X_ODH_MINIMUM_STARTING_DATE : "2018-01-01" - X_ODH_MINIMUM_STARTING_DATE : "2023-07-01 00:00:00+00:00" - - # Force python to not buffer stdout - X_PYTHONUNBUFFERED: "true" - - - name: Build and push images - uses: noi-techpark/github-actions/docker-build-and-push@v2 - with: - working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure - docker-username: ${{ github.actor }} - docker-password: ${{ secrets.GITHUB_TOKEN }} - - - name: Deploy application - uses: noi-techpark/github-actions/docker-deploy@v2 - with: - working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure/ansible - hosts: 'prod' - ssh-private-key: ${{ secrets.SSH_PRIVATE_KEY }} - docker-username: 'noi-techpark-bot' - docker-password: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }} - project-name: ${{ env.PROJECT_NAME }} +# name: CI/CD pollution +# +# on: +# push: +# paths: +# - "pollution/**" +# - ".github/workflows/ci-pollution.yml" +# - "!*.md" +# +# env: +# WORKING_DIRECTORY: pollution +# PROJECT_NAME: odh-mobility-el-pollution +# DOCKER_IMAGE: ghcr.io/${{ github.repository }}/odh-mobility-el-pollution +# DOCKER_TAG: ${{ github.sha }} +# +# jobs: +# test: +# runs-on: ubuntu-22.04 +# steps: +# - name: Checkout source code +# uses: noi-techpark/github-actions/checkout@v2 +# - name: REUSE Compliance Check +# uses: fsfe/reuse-action@v1 +# +# - name: install setuptools needed to use distutils with python > 3.12 +# run: python3 -m pip install setuptools +# +# - name: Test code +# uses: noi-techpark/github-actions/pip-test@v2 +# with: +# working-directory: ${{ env.WORKING_DIRECTORY }} +# test-command: | +# echo "WARNING: NO TESTS FOUND!" +# +# # Deploy Test +# deploy-test-pollution: +# runs-on: ubuntu-22.04 +# if: github.ref == 'refs/heads/main' +# needs: test +# concurrency: deploy-test-pollution +# env: +# KEYCLOAK_URL: https://auth.opendatahub.testingmachine.eu +# steps: +# - name: Checkout source code +# uses: noi-techpark/github-actions/checkout@v2 +# - name: Create .env file +# uses: noi-techpark/github-actions/env-file@v2 +# with: +# working-directory: ${{ env.WORKING_DIRECTORY }} +# env: +# # General deployment options +# X_COMPOSE_PROJECT_NAME: ${{ env.PROJECT_NAME }} +# X_DOCKER_IMAGE: ${{ env.DOCKER_IMAGE }} +# X_DOCKER_TAG: ${{ env.DOCKER_TAG }} +# +# X_LOG_LEVEL: INFO +# X_LOG_LEVEL_LIBS: INFO +# +# X_CELERY_BROKER_URL: redis://pollution-connector-redis:6379/1 +# X_CELERY_BACKEND_URL: redis://pollution-connector-redis:6379/2 +# X_CELERY_RESULT_EXPIRATION_SECONDS: "604800" +# +# X_POLLUTION_TASK_SCHEDULING_MINUTE: "*/10" +# X_POLLUTION_TASK_SCHEDULING_HOUR: "*" +# +# X_ODH_BASE_READER_URL: https://mobility.api.opendatahub.testingmachine.eu +# X_ODH_BASE_WRITER_URL: https://share.opendatahub.testingmachine.eu +# X_ODH_AUTHENTICATION_URL: https://auth.opendatahub.testingmachine.eu/auth/ +# X_ODH_CLIENT_ID: odh-a22-dataprocessor +# X_ODH_CLIENT_SECRET: ${{ secrets.COMBINED_CLIENT_SECRET_TEST }} +# X_ODH_GRANT_TYPE: client_credentials +# X_ODH_PAGINATION_SIZE: 10000 +# X_ODH_MAX_POST_BATCH_SIZE: 10000 +# X_PROVENANCE_NAME: ${{ env.PROJECT_NAME }} +# X_PROVENANCE_VERSION: ${{ github.sha }} +# +# # Force python to not buffer stdout +# X_PYTHONUNBUFFERED: "true" +# +# X_ODH_COMPUTATION_BATCH_SIZE: 7 +# X_COMPUTATION_CHECKPOINT_REDIS_HOST: pollution-connector-redis +# X_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 +# X_COMPUTATION_CHECKPOINT_REDIS_DB: 3 +# +# # use 2018 for first import, otherwise a more recent date +# # X_ODH_MINIMUM_STARTING_DATE : "2018-01-01" +# X_ODH_MINIMUM_STARTING_DATE : "2023-07-01 00:00:00+00:00" +# +# +# - name: Build and push images +# uses: noi-techpark/github-actions/docker-build-and-push@v2 +# with: +# working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure +# docker-username: ${{ github.actor }} +# docker-password: ${{ secrets.GITHUB_TOKEN }} +# +# - name: Deploy application +# uses: noi-techpark/github-actions/docker-deploy@v2 +# with: +# working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure/ansible +# hosts: 'test' +# ssh-private-key: ${{ secrets.SSH_PRIVATE_KEY }} +# docker-username: 'noi-techpark-bot' +# docker-password: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }} +# project-name: ${{ env.PROJECT_NAME }} +# +# # Deploy Prod +# deploy-prod-pollution: +# runs-on: ubuntu-22.04 +# if: github.ref == 'refs/heads/prod' +# needs: test +# concurrency: deploy-prod-pollution +# env: +# KEYCLOAK_URL: https://auth.opendatahub.com +# steps: +# - name: Checkout source code +# uses: noi-techpark/github-actions/checkout@v2 +# - name: Create .env file +# uses: noi-techpark/github-actions/env-file@v2 +# with: +# working-directory: ${{ env.WORKING_DIRECTORY }} +# env: +# X_COMPOSE_PROJECT_NAME: ${{ env.PROJECT_NAME }} +# X_DOCKER_IMAGE: ${{ env.DOCKER_IMAGE }} +# X_DOCKER_TAG: ${{ env.DOCKER_TAG }} +# +# X_LOG_LEVEL: INFO +# X_LOG_LEVEL_LIBS: INFO +# +# X_CELERY_BROKER_URL: redis://pollution-connector-redis:6379/1 +# X_CELERY_BACKEND_URL: redis://pollution-connector-redis:6379/2 +# X_CELERY_RESULT_EXPIRATION_SECONDS: "604800" +# +# X_POLLUTION_TASK_SCHEDULING_MINUTE: "*/10" +# X_POLLUTION_TASK_SCHEDULING_HOUR: "*" +# +# X_ODH_BASE_READER_URL: https://mobility.api.opendatahub.com +# X_ODH_BASE_WRITER_URL: https://mobility.share.opendatahub.com +# X_ODH_AUTHENTICATION_URL: https://auth.opendatahub.com/auth/ +# X_ODH_CLIENT_ID: odh-a22-dataprocessor +# X_ODH_CLIENT_SECRET: ${{ secrets.COMBINED_CLIENT_SECRET_PROD }} +# X_ODH_GRANT_TYPE: client_credentials +# X_ODH_PAGINATION_SIZE: 10000 +# X_ODH_MAX_POST_BATCH_SIZE: 10000 +# X_PROVENANCE_NAME: ${{ env.PROJECT_NAME }} +# X_PROVENANCE_VERSION: ${{ github.sha }} +# +# X_ODH_COMPUTATION_BATCH_SIZE: 7 +# X_COMPUTATION_CHECKPOINT_REDIS_HOST: pollution-connector-redis +# X_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 +# X_COMPUTATION_CHECKPOINT_REDIS_DB: 3 +# +# # use 2018 for first import, otherwise a more recent date +# # X_ODH_MINIMUM_STARTING_DATE : "2018-01-01" +# X_ODH_MINIMUM_STARTING_DATE : "2023-07-01 00:00:00+00:00" +# +# # Force python to not buffer stdout +# X_PYTHONUNBUFFERED: "true" +# +# - name: Build and push images +# uses: noi-techpark/github-actions/docker-build-and-push@v2 +# with: +# working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure +# docker-username: ${{ github.actor }} +# docker-password: ${{ secrets.GITHUB_TOKEN }} +# +# - name: Deploy application +# uses: noi-techpark/github-actions/docker-deploy@v2 +# with: +# working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure/ansible +# hosts: 'prod' +# ssh-private-key: ${{ secrets.SSH_PRIVATE_KEY }} +# docker-username: 'noi-techpark-bot' +# docker-password: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }} +# project-name: ${{ env.PROJECT_NAME }} From 9052a7e7dc4b1f350ae954f05e5c4584d6ac958c Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 21 Aug 2024 13:54:24 +0200 Subject: [PATCH 140/154] pollution: ci/cd: add blank test prefix --- .github/workflows/ci-pollution-v2.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 22d79c47..45db5965 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -81,6 +81,7 @@ jobs: X_AIRFLOW_VAR_ODH_PAGINATION_SIZE: '10000' X_AIRFLOW_WWW_USER_USERNAME: ${{ secrets.AIRFLOW_WWW_USER_USERNAME }} X_AIRFLOW_WWW_USER_PASSWORD: ${{ secrets.AIRFLOW_WWW_USER_PASSWORD }} + X_AIRFLOW_VAR_DATATYPE_PREFIX: '' X_AIRFLOW_VAR_DAG_POLLUTION_EXECUTION_CRONTAB: 0 4 * * * X_AIRFLOW_VAR_DAG_VALIDATION_EXECUTION_CRONTAB: 0 2 * * * @@ -189,6 +190,7 @@ jobs: # X_AIRFLOW_VAR_ODH_PAGINATION_SIZE: '10000' # X_AIRFLOW_WWW_USER_USERNAME: ${{ secrets.AIRFLOW_WWW_USER_USERNAME }} # X_AIRFLOW_WWW_USER_PASSWORD: ${{ secrets.AIRFLOW_WWW_USER_PASSWORD }} + # X_AIRFLOW_VAR_DATATYPE_PREFIX: '' # # X_AIRFLOW_VAR_DAG_POLLUTION_EXECUTION_CRONTAB: 0 4 * * * # X_AIRFLOW_VAR_DAG_VALIDATION_EXECUTION_CRONTAB: 0 2 * * * From 7ba3a314bc1fcb9cff7a0f0e4d83d39befdda286 Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Thu, 22 Aug 2024 14:13:00 +0200 Subject: [PATCH 141/154] prune possibly outdated and certainly superfluous documentation --- flighdata-skyalps-gtfs/HELP.md | 28 ----- flighdata-skyalps-gtfs/README.md | 198 +------------------------------ 2 files changed, 3 insertions(+), 223 deletions(-) delete mode 100644 flighdata-skyalps-gtfs/HELP.md diff --git a/flighdata-skyalps-gtfs/HELP.md b/flighdata-skyalps-gtfs/HELP.md deleted file mode 100644 index 8a58d53d..00000000 --- a/flighdata-skyalps-gtfs/HELP.md +++ /dev/null @@ -1,28 +0,0 @@ - - -# Getting Started - -### Reference Documentation -For further reference, please consider the following sections: - -* [Official Apache Maven documentation](https://maven.apache.org/guides/index.html) -* [Spring Boot Maven Plugin Reference Guide](https://docs.spring.io/spring-boot/docs/3.0.3/maven-plugin/reference/html/) -* [Create an OCI image](https://docs.spring.io/spring-boot/docs/3.0.3/maven-plugin/reference/html/#build-image) -* [Spring Data JDBC](https://docs.spring.io/spring-boot/docs/3.0.3/reference/htmlsingle/#data.sql.jdbc) -* [Spring Data JPA](https://docs.spring.io/spring-boot/docs/3.0.3/reference/htmlsingle/#data.sql.jpa-and-spring-data) -* [Spring Web](https://docs.spring.io/spring-boot/docs/3.0.3/reference/htmlsingle/#web) - -### Guides -The following guides illustrate how to use some features concretely: - -* [Accessing data with MySQL](https://spring.io/guides/gs/accessing-data-mysql/) -* [Using Spring Data JDBC](https://github.com/spring-projects/spring-data-examples/tree/master/jdbc/basics) -* [Accessing Data with JPA](https://spring.io/guides/gs/accessing-data-jpa/) -* [Building a RESTful Web Service](https://spring.io/guides/gs/rest-service/) -* [Serving Web Content with Spring MVC](https://spring.io/guides/gs/serving-web-content/) -* [Building REST services with Spring](https://spring.io/guides/tutorials/rest/) - diff --git a/flighdata-skyalps-gtfs/README.md b/flighdata-skyalps-gtfs/README.md index 3a76a7a3..1e8ea568 100644 --- a/flighdata-skyalps-gtfs/README.md +++ b/flighdata-skyalps-gtfs/README.md @@ -6,207 +6,15 @@ SPDX-License-Identifier: CC0-1.0 # flighdata-skyalps-gtfs -The following GTFS Converter is used to take data from the Sky Alps API and converting them into the GTFS format. - -**Table of contents** -- [SkyAlpsGTFS](#SkyAlpsGTFS) - - [General information](#General-information) - - [History](#History) - - [GTFS Components](#GTFS Components) - - [GTFS Service Classes](#GTFS Service Classes) - - [GTFS Service Classes Specifications](#GTFS Service Classes Specifications) +This GTFS Converter is used to take data from the Sky Alps API and convert them into the GTFS format. ## General information: ## General instructions can be found at the [Open Data Hub elaborations README](../README.md). -The instructions in the following paper will get you a copy of the project up and running on your local machine for development and testing purposes. - ## History: ## SkyAlps is an Italian airline operator managing flights at the Bolzano airport in South Tyrol. Thanks to the support of NOI, SkyAlps has initiated an innovation process that aims to share the data of the air services offered. The function requested by the GTFS is to map the available data provided through the web services of the Open Data Hub (https://mobility.api.opendatahub.com/v2/flat,node/Flight) into the GTFS format specification, which foresees data to be stored in a certain number of TXT files, as summarized in the Specification file. -The agency, calendar, calendar_dates, fare_attributes, fare_rules, feed_into, frequencies, routes, shapes, stop_times, stops, transfers, and trips gtfs files are written directly from the information retrieved by the ODH API JSON. The following converter is organized into several components: -[- Rest Template,](java/it/noitechpark/rest/FlightRest.java) -[- Dto,](java/it/noitechpark/dto) -[- Constants Classes,](java/it/noitechpark/contastsclasses) -[- Services,](java/it/noitechpark/service) -[- Enum,](java/it/noitechpark/enumClasses) - -The following Converter has been designed to assist transit agency to transform existing route information from three data sources. - -When you will run the converter a GTFS folder with the current timestamp attached to it will be created in the home directory of the current logged in user (See the [GTFSFolder](java/it/noitechpark/service/GTFSFolder) class (lines 15-17) for this part of the code). -In this folder you will have the .txt files filled as per request (to view the logic keep reading below or you can refer both to the [it.noitechpar.service](java/it/noitechpark/service) package classes and the [it.noitechpark package SkyApplication.java](java/it/noitechpark/SkyAlpsApplication.java) class between lines 87-258). - -## GTFS Components: ## - -[- Rest Template: ](java/it/noitechpark/rest/FlightRest.java) - -This class is designed to make a call on the ODH API and retrieve the JSON resource template. - -[- Dto Classes: ](java/it/noitechpark/dto) - -These classes represent the data that will be posted by the rest template output. This class contains also model classes for each of the specified .txt files. -Each variable of the DTO Model Classes has been assigned the same type declared on the specification file. - -[- Constants Classes: ](java/it/noitechpark/contastsclasses) - -This class defines the filenames and file fields used in the .txt files. - -[- GTFS Services: ](java/it/noitechpark/service) - -This section defines the GTFS output file path, and it is responsible for creating, checking, and filling each file. - -[- Enum Classes: ](java/it/noitechpark/enumClasses) -This class contains a group of constants handled by the service classes and appropriately used for each file that requires the mas for specifications. - - -## GTFS Service Classes: ## - -[GTFSFolder](java/it/noitechpark/service/GTFSFolder) - -This class generates a GTFS folder inside the current user's Desktop folder. - The GTFS folder will be appended with the current Date. Appropriate checks to check if the folder already exists are performed. - -[GTFSFile](java/it/noitechpark/service/GTFSFile) - -This class is responsible for creating the GTFS .txt files inside the folder previously created. - -[GTFSReadFileFolder](java/it/noitechpark/service/GTFSReadFileFolder) - -This class retrieves the files previously created and returns them after checking that they exist. - -[GTFSWrite](java/it/noitechpark/service/GTFSWrite) - -These classes write inside the .txt files and the section defines the transit files.txt input values defined by the specifications. See below for more details. Each .txt file has been written after checks are performed on each of them. - -[GTFSCheck Classes: ](java/it/noitechpark/service) - -These classes check through all the conditional requirements for each of the GTFS files before they are written: -- [GTFSCheckAgency](java/it/noitechpark/service/GTFSCheckAgency): it checks the mandatory fields. -- [GTFSCheckCalendar](java/it/noitechpark/service/GTFSCheckCalendar): it checks the mandatory fields. -- [GTFSCheckCalendarDates](java/it/noitechpark/service/GTFSCheckCalendarDates): it checks the mandatory fields. -- [GTFSCheckRoutes](java/it/noitechpark/service/GTFSCheckRoutes): it checks the mandatory fields and whether or not the agency_id field is mandatory or optional based on a conditional requirement that the agency.txt field contains more than a record. It also checks that either one between the short_name or long_name fields is present. -- [GTFSCheckStops](java/it/noitechpark/service/GTFSCheckStops): It checks the value of the location_type field and based on that defines whether or not the agency_id, stop_lon, and stop_lat fields might be mandatory or optional. -- [GTFSCheckStopsTimes](java/it/noitechpark/service/GTFSCheckStopsTimes): It checks the mandatory fields and whether or not the field Timepoint has a value of 1 or not. Based on the Timepoint field value it establishes if arrival_time and departure_time fields can be optional or mandatory. -- [GTFSCheckTrips](java/it/noitechpark/service/GTFSCheckTrips): It checks the mandatory fields and whether or not inside the file Trips.txt the record has a pickup/drop-off behavior set as “continuous” and establishes if the shape_id field might be optional or mandatory. - - - -## GTFS Service Classes Specifications: ## - -In the first part, I will describe the .txt files and the logic of how they have been filled. For more information refer to the [specification file](documentation/230207_SpecificheIntegrazioneGTFS_NOI_v1.1 (5).pdf) where all conditions are provided. - -# - FILES SPECIFICATIONS. # - -1.1 Agency.txt: - -- agency_name = ID of Transit Agency, it has been left Optional. -- agency_url = Name of Transit Agency, default value: SkyAlps -- agency_timezone = URL of Transit Agency, default value: https://www.skyalps.com -- agency_id = Timezone Reference, default value: Europe/Rome -- agency_lang = Primary language reference, not supported -- agency_phone = Phone contact, not supported -- agency_fare_url = Mail contact, not supported - - -1.2 Stops.txt: - -- Stop_id = ID of identified Stop, Mandatory. It has been taken from the sname field of the ODH API provided. This file contains a row for each airport connected to BZO airport. Departure_airport_code and arrival_airport_code have been properly parsed. -- Stop_code = This contains a short name, of the airport, it has been assigned the same value as the stop_id field. -- Stop_name = This contains a long name of the airport, it has been assigned the same value as the stop_id field. A check has been performed on the location_type before setting this field, for specification requirements. -- Tts_stop_name = “Readable” version of the stop name, it is not supported and therefore it has been left empty for now. -- Stop_desc = Contains an additional description -- of the stop, it is not supported therefore it has been left empty for now. -- Stop_lat = This field will be provided by a second CSV file therefore it has been left empty for now. Since a conditional requirement was attached to it the same check performed to the stop_name field has been done here too. -- Stop_lon = This field will be provided by a second CSV file therefore it has been left empty for now. Since a conditional requirement was attached to it the same check performed to the stop_name field has been done here too. -- Zone_id = ID of a fare zone associated with the stop, not supported. -- Stop_url = URL of a web page dedicated to the stop, supported. -- Location_type = Refer to the enum class for this field. -- Parent_station = Refer to the enum class for this field. The proper check is performed if location_type is present. -- Stop_timezone = Left empty, not supported. -- Wheelchair_boarding = Refer to the enum class for this field -- Level_id = Left empty, not supported. -- Platform_code = left empty, not supported. - - - -1.3 Routes.txt: - -- Route_id = This field has been filled with the departure/arrival airports code as already defined in the stop.txt file/stop_id field. -- Agency_id = Proper check has been performed on the agency.txt file -- Route_short_name = Proper check has been performed on the agency.txt file -- Route_long_name = Proper check has been performed on the agency.txt file -- Route_desc = Left empty, not supported -- Route_type = Mandatory field, check enum class -- Route_URL = Not supported, left empty -- Route_colour = Not supported, left empty but an enum class has been provided -- Route_text_colour = Not supported, left empty but an enum class has been provided -- Route_sort_order = Not supported, left empty -- Continous_pickup = Refer to Enum class for this field -- Continous_dropOff = Refer to Enum class for this field. - -1.4 Trips.txt - -- Route_id = same value as the routes.txt file id -- Service_id = id provided in the calendar.txt file -- Trip_id = This value has been taken from the scode field of the ODH API -- Trip_Headisgn = same value as the stop_headsign field of the stop_times.txt file -- Trip_short_name = Optional, left empty -- Direction_id = See the enum class -- Block_id = Optional, left empty -- Shape_id = For this field a check has been performed whether or not there is a continous_pickup or a continous_dropof f inside the stop_times.txt file -- Wheelchair_accessible = See enum class -- Bikes_allowed = See enum class - -1.5 Stop_Times.txt - -- Trip_id = It has been linked to the trips.txt and the value of it refers to the trip id -- Arrival_time = This field has been taken from the field smetadata -> sta -- Departure_time = This field has been taken from the field smetadata -> std -- Stop_id = It has been linked to the stops.txt and the value of it refers to the stop id -- Stop_Sequence -- Stop_headsign -- Pickup_type -- DropOff_type -- Continous_pickup -- Continous_dropoff -- Shape_dist_Traveled -- Timepoint - -1.6 Calendar.txt - -- Service_id = This field has been filled by taking the scode value from the ODH API provided -- Monday = See enum class true/false whether or not the flight operates on this day or not. -- Tuesday = See enum class true/false whether or not the flight operates on this day or not. -- Wednesday = See enum class true/false whether or not the flight operates on this day or not. -- Thursday = See enum class true/false whether or not the flight operates on this day or not. -- Friday = See enum class true/false whether or not the flight operates on this day or not. -- Saturday = See enum class true/false whether or not the flight operates on this day or not. -- Start_date = Starts of the service provided in a SimpleDateFormat value -- End_date = Ends of the service provided in a SimpleDateFormat value - - - -1.7 Calendar_Dates.txt - -- Service_id = left empty for now but links on specific fields for specifications have been made. -- Date = left empty for now but links on specific fields for specifications have been made. -- Exception_type = Left empty for now but links on specific fields for specifications have been made. - -# - FILE CREATED: # +The agency, calendar, calendar_dates, fare_attributes, fare_rules, feed_into, frequencies, routes, shapes, stop_times, stops, transfers, and trips gtfs files are written directly from the information retrieved by the ODH API JSON. -As requested the following .txt files are generated when running the code: -- Agency.txt -- Stops.txt = This file contains the information of the Bolzano airport and all airports for which a flight connection exists. -- Routes.txt = This file contains the information of the connections linked to the Bolzano airport and all airports for which a flight connection exists. -- Stop_times.txt = This file contains information for each trip. Each trip has been characterized by two records in this table: one record related to the departure time at the departing airport and one record related to the arrival time at the arriving airport -- Calendar.txt = This table contains 180 records, one for each calendar day. -- Calendar_date.txt = This table has been filled with empty values only to prove that is working. -- Fare_attributes.txt -- Fare_rules.txt -- Shapes.txt -- Frequencies.txt -- Transfers.txt -- Trips = This file contains the information on all the flights departing and arriving in Bolzano. -- Feed_info.txt -However, since only specifications for some of these files have been provided, some of them have been left empty when generated. +When you will run the converter a GTFS folder with the current timestamp attached to it will be created in the home directory of the current logged in user. From bce200e77227f8229c4823f86b51fec0229d4f1f Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Thu, 22 Aug 2024 17:17:59 +0200 Subject: [PATCH 142/154] skyalps-gtfs #37. Refactor and implement change request --- flighdata-skyalps-gtfs/docker-compose.yml | 2 - .../java/com/opendatahub/JobScheduler.java | 110 +++++++---- .../opendatahub/constants/GTFSFileNames.java | 83 -------- ...FSCsvFile.java => AirportCoordinates.java} | 5 +- .../java/com/opendatahub/file/GTFSFile.java | 81 -------- .../java/com/opendatahub/file/GTFSFolder.java | 68 ------- .../opendatahub/file/GTFSReadFileFolder.java | 102 ---------- .../com/opendatahub/file/GTFSStop_Times.java | 33 ---- .../com/opendatahub/file/GTFSWriteAgency.java | 35 ---- .../opendatahub/file/GTFSWriteCalendar.java | 37 ---- .../file/GTFSWriteCalendar_Dates.java | 21 -- .../com/opendatahub/file/GTFSWriteRoutes.java | 33 ---- .../com/opendatahub/file/GTFSWriteStops.java | 35 ---- .../com/opendatahub/file/GTFSWriteTrips.java | 28 --- .../java/com/opendatahub/file/GTFSWriter.java | 185 ++++++++++++++++++ .../com/opendatahub/gtfs/FeedInfoValue.java | 11 ++ .../java/com/opendatahub/gtfs/ShapeValue.java | 13 ++ .../opendatahub/gtfs/Stop_TimesValues.java | 3 +- .../com/opendatahub/gtfs/TripsValues.java | 3 +- 19 files changed, 287 insertions(+), 601 deletions(-) delete mode 100644 flighdata-skyalps-gtfs/src/main/java/com/opendatahub/constants/GTFSFileNames.java rename flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/{GTFSCsvFile.java => AirportCoordinates.java} (93%) delete mode 100644 flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSFile.java delete mode 100644 flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSFolder.java delete mode 100644 flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSReadFileFolder.java delete mode 100644 flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSStop_Times.java delete mode 100644 flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteAgency.java delete mode 100644 flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteCalendar.java delete mode 100644 flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteCalendar_Dates.java delete mode 100644 flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteRoutes.java delete mode 100644 flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteStops.java delete mode 100644 flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteTrips.java create mode 100644 flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriter.java create mode 100644 flighdata-skyalps-gtfs/src/main/java/com/opendatahub/gtfs/FeedInfoValue.java create mode 100644 flighdata-skyalps-gtfs/src/main/java/com/opendatahub/gtfs/ShapeValue.java diff --git a/flighdata-skyalps-gtfs/docker-compose.yml b/flighdata-skyalps-gtfs/docker-compose.yml index ee65fafc..d09be900 100644 --- a/flighdata-skyalps-gtfs/docker-compose.yml +++ b/flighdata-skyalps-gtfs/docker-compose.yml @@ -2,8 +2,6 @@ # # SPDX-License-Identifier: CC0-1.0 -version: "3.4" - services: app: image: maven:3-openjdk-17-slim diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/JobScheduler.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/JobScheduler.java index 29cf3f31..abbe2b59 100644 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/JobScheduler.java +++ b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/JobScheduler.java @@ -10,6 +10,7 @@ import java.io.IOException; import java.io.InputStream; import java.net.URL; +import java.text.DecimalFormat; import java.text.SimpleDateFormat; import java.util.ArrayList; import java.util.Date; @@ -19,6 +20,8 @@ import java.util.Map; import java.util.TimeZone; import java.util.function.Function; +import java.util.stream.Collector; +import java.util.stream.Collectors; import java.util.zip.ZipEntry; import java.util.zip.ZipOutputStream; @@ -34,20 +37,14 @@ import com.opendatahub.constants.SkyalpsAgency; import com.opendatahub.dto.Data; import com.opendatahub.dto.Flights; -import com.opendatahub.file.GTFSCsvFile; -import com.opendatahub.file.GTFSFile; -import com.opendatahub.file.GTFSFolder; -import com.opendatahub.file.GTFSStop_Times; -import com.opendatahub.file.GTFSWriteAgency; -import com.opendatahub.file.GTFSWriteCalendar; -import com.opendatahub.file.GTFSWriteCalendar_Dates; -import com.opendatahub.file.GTFSWriteRoutes; -import com.opendatahub.file.GTFSWriteStops; -import com.opendatahub.file.GTFSWriteTrips; +import com.opendatahub.file.AirportCoordinates; +import com.opendatahub.file.GTFSWriter; import com.opendatahub.gtfs.AgencyValues; import com.opendatahub.gtfs.CalendarValues; import com.opendatahub.gtfs.Calendar_DatesValues; +import com.opendatahub.gtfs.FeedInfoValue; import com.opendatahub.gtfs.RoutesValues; +import com.opendatahub.gtfs.ShapeValue; import com.opendatahub.gtfs.Stop_TimesValues; import com.opendatahub.gtfs.StopsValue; import com.opendatahub.gtfs.Timepoint; @@ -60,11 +57,13 @@ public class JobScheduler { private static final Logger LOG = LoggerFactory.getLogger(JobScheduler.class); + private static final DecimalFormat twoDecimals = new DecimalFormat("0.00"); + @Autowired private S3FileUtil s3FileUtil; @Autowired - private GTFSCsvFile gtfsCsvFile; + private AirportCoordinates gtfsCsvFile; @Autowired private FlightsRest flightsRest; @@ -94,22 +93,24 @@ private static class Flight { public void calculateGtfs() throws Exception { RestTemplate restTemplate = new RestTemplate(); - ArrayList gtfsAgencies = new ArrayList(); - ArrayList gtfsCalendarDates = new ArrayList(); + List gtfsAgencies = new ArrayList<>(); + List gtfsCalendarDates = new ArrayList<>(); Map gtfsCalendar = new HashMap<>(); - ArrayList gtfsStopTimes = new ArrayList(); - ArrayList gtfsTrips = new ArrayList(); - ArrayList gtfsRoutes = new ArrayList(); - ArrayList gtfsStops = new ArrayList(); + List gtfsStopTimes = new ArrayList<>(); + List gtfsTrips = new ArrayList<>(); + List gtfsRoutes = new ArrayList<>(); + List gtfsStops = new ArrayList<>(); + List gtfsFeedInfos = new ArrayList<>(); + List gtfsShapes = new ArrayList<>(); Flights flightDtos = flightsRest.getFlights(restTemplate); LOG.debug("Result: " + flightDtos); - GTFSFolder.writeRequestAndResponse(); - GTFSFile.writeFiles(); + GTFSWriter.makeFolder(); AgencyValues agencySkyalps = new AgencyValues(SkyalpsAgency.agencyName, SkyalpsAgency.agencyName, new URL(SkyalpsAgency.agencyUrl), SkyalpsAgency.agencyTimeZone); gtfsAgencies.add(agencySkyalps); + gtfsFeedInfos.add(new FeedInfoValue(SkyalpsAgency.agencyName, SkyalpsAgency.agencyUrl, "IT")); List flights = new ArrayList<>(); @@ -122,14 +123,7 @@ public void calculateGtfs() throws Exception { gtfsCalendar.put(calendar.getService_id(), calendar); boolean outboundDirection = flight.fromDestination.equals("BZO"); - - gtfsTrips.add(new TripsValues( - flight.id, - calendar.getService_id(), - flight.fullCode, - outboundDirection ? 0 : 1) - ); - + var fromAirport = airports.get(flight.fromDestination); if (fromAirport == null) throw new Exception("Airport mapping not found in CSV for IATA code " + flight.fromDestination); gtfsStops.add(fromAirport); @@ -138,13 +132,21 @@ public void calculateGtfs() throws Exception { if (toAirport == null) throw new Exception("Airport mapping not found in CSV for IATA code " + flight.toDestination); gtfsStops.add(toAirport); + var airportDist = twoDecimals.format(haversineDist( + Double.parseDouble(fromAirport.stop_lat()), + Double.parseDouble(fromAirport.stop_lon()), + Double.parseDouble(toAirport.stop_lat()), + Double.parseDouble(toAirport.stop_lon()) + )); + gtfsStopTimes.add(new Stop_TimesValues( flight.fullCode, flight.departureTime, flight.departureTime, flight.fromDestination, 1, - Timepoint.exact) + Timepoint.exact, + "0") ); gtfsStopTimes.add(new Stop_TimesValues( @@ -153,30 +155,62 @@ public void calculateGtfs() throws Exception { flight.arrivalTime, flight.toDestination, 2, - Timepoint.exact) + Timepoint.exact, + airportDist) + ); + + var shapeId = flight.id; + gtfsShapes.add(new ShapeValue(shapeId, fromAirport.stop_lat(), fromAirport.stop_lon(), 1, "0")); + gtfsShapes.add(new ShapeValue(shapeId, toAirport.stop_lat(), toAirport.stop_lon(), 2, airportDist)); + + gtfsTrips.add(new TripsValues( + flight.id, + calendar.getService_id(), + flight.fullCode, + outboundDirection ? 0 : 1, + shapeId) ); gtfsRoutes.add(new RoutesValues(flight.id, flight.name, RoutesValues.ROUTE_TYPE_AIR_SERVICE, agencySkyalps.agency_id())); } - GTFSWriteAgency.writeAgency(gtfsAgencies); - GTFSWriteCalendar_Dates.writeCalendar_Dates(gtfsCalendarDates); - GTFSStop_Times.writeStop_Times(gtfsStopTimes); - GTFSWriteCalendar.writeCalendar(List.copyOf(gtfsCalendar.values())); - GTFSWriteStops.writeStops(gtfsStops); - GTFSWriteRoutes.writeRoutes(gtfsRoutes); - GTFSWriteTrips.writeTrips(gtfsTrips); + // shapes unique per ID/sequence + gtfsShapes = gtfsShapes.stream() + .collect(Collectors.toMap( + s -> new Object[]{s.shape_id(), s.shape_pt_sequence()}, + Function.identity())) + .values().stream() + .toList(); + + GTFSWriter.writeAgency(gtfsAgencies); + GTFSWriter.writeCalendar_Dates(gtfsCalendarDates); + GTFSWriter.writeStop_Times(gtfsStopTimes); + GTFSWriter.writeCalendar(List.copyOf(gtfsCalendar.values())); + GTFSWriter.writeStops(gtfsStops); + GTFSWriter.writeRoutes(gtfsRoutes); + GTFSWriter.writeTrips(gtfsTrips); + GTFSWriter.writeFeedInfo(gtfsFeedInfos); + GTFSWriter.writeShape(gtfsShapes); uploadToS3(); } + + private static double haversineDist(double lat1, double lon1, double lat2, double lon2) { + double theta = lon1 - lon2; + double distance = 60 * 1.1515 * (180/Math.PI) * Math.acos( + Math.sin(lat1 * (Math.PI/180)) * Math.sin(lat2 * (Math.PI/180)) + + Math.cos(lat1 * (Math.PI/180)) * Math.cos(lat2 * (Math.PI/180)) * Math.cos(theta * (Math.PI/180)) + ); + return distance * 1.609344; + } private void uploadToS3() throws Exception { LOG.info("Uploading files to S3..."); - File[] listFiles = GTFSFolder.FOLDER_FILE.listFiles(); + File[] listFiles = GTFSWriter.FOLDER_FILE.listFiles(); // create zip file - File zipFile = new File(GTFSFolder.ZIP_FILE_NAME); + File zipFile = new File(GTFSWriter.ZIP_FILE_NAME); ZipOutputStream zipOutputStream = new ZipOutputStream(new FileOutputStream(zipFile)); for (File file : listFiles) { diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/constants/GTFSFileNames.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/constants/GTFSFileNames.java deleted file mode 100644 index f10edbc9..00000000 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/constants/GTFSFileNames.java +++ /dev/null @@ -1,83 +0,0 @@ -// SPDX-FileCopyrightText: NOI Techpark -// -// SPDX-License-Identifier: AGPL-3.0-or-later - -package com.opendatahub.constants; - -public class GTFSFileNames { - - private static String agency = "agency"; - private static String stops = "stops"; - private static String routes = "routes"; - private static String trips = "trips"; - private static String stop_times = "stop_times"; - private static String calendar = "calendar"; - private static String calendar_dates = "calendar_dates"; - private static String fare_attributes = "fare_attributes"; - private static String fare_rules = "fare_rules"; - private static String shapes = "shapes"; - private static String frequencies = "frequencies"; - private static String transfers = "transfers"; - private static String feed_info = "feed_info"; - - public String getAgency() { - return agency; - } - - public String getStops() { - return stops; - } - - public String getRoutes() { - return routes; - } - - public String getTrips() { - return trips; - } - - public String getStop_times() { - return stop_times; - } - - public String getCalendar() { - return calendar; - } - - public String getCalendar_dates() { - return calendar_dates; - } - - public String getFare_attributes() { - return fare_attributes; - } - - public String getFare_rules() { - return fare_rules; - } - - public String getShapes() { - return shapes; - } - - public String getFrequencies() { - return frequencies; - } - - public String getTransfers() { - return transfers; - } - - public String getFeed_info() { - return feed_info; - } - - @Override - public String toString() { - return "GTFSFileNames [agency=" + agency + ", stops=" + stops + ", routes=" + routes + ", trips=" + trips - + ", stop_times=" + stop_times + ", calendar=" + calendar + ", calendar_dates=" + calendar_dates - + ", fare_attributes=" + fare_attributes + ", fare_rules=" + fare_rules + ", shapes=" + shapes - + ", frequencies=" + frequencies + ", transfers=" + transfers + ", feed_info=" + feed_info + "]"; - } - -} diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSCsvFile.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/AirportCoordinates.java similarity index 93% rename from flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSCsvFile.java rename to flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/AirportCoordinates.java index 8d925b2b..2a56ac5a 100644 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSCsvFile.java +++ b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/AirportCoordinates.java @@ -16,12 +16,11 @@ import com.opencsv.CSVReader; import com.opendatahub.gtfs.StopsValue; -import com.opendatahub.gtfs.Timepoint; @Service -public class GTFSCsvFile { +public class AirportCoordinates { - private static final Logger LOG = LoggerFactory.getLogger(GTFSCsvFile.class); + private static final Logger LOG = LoggerFactory.getLogger(AirportCoordinates.class); // start with / to read from resources directory; with no / it reads current class package private final String CSV_PATH = "/AirportsCoordinates.csv"; diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSFile.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSFile.java deleted file mode 100644 index 01a1ab92..00000000 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSFile.java +++ /dev/null @@ -1,81 +0,0 @@ -// SPDX-FileCopyrightText: NOI Techpark -// -// SPDX-License-Identifier: AGPL-3.0-or-later - -package com.opendatahub.file; - -import java.io.File; - -import java.io.IOException; -import java.net.MalformedURLException; -import org.springframework.stereotype.Service; - -import com.opendatahub.constants.GTFSFileNames; - -@Service -public class GTFSFile { - public static void writeFiles() throws IOException, MalformedURLException { - String fileType = ".txt"; - // File dir = new File(folderPath); - - File dir = GTFSFolder.FOLDER_FILE; - GTFSFileNames filename = new GTFSFileNames(); - String filePath1 = dir.getAbsolutePath() + "/" + filename.getAgency().toString() + fileType; - File file1 = new File(filePath1); - file1.createNewFile(); - - String filePath13 = dir.getAbsolutePath() + "/" + filename.getCalendar().toString() + fileType; - File file13 = new File(filePath13); - file13.createNewFile(); - - String filePath2 = dir.getAbsolutePath() + "/" + filename.getCalendar_dates().toString() + fileType; - File file2 = new File(filePath2); - file2.createNewFile(); - - // String filePath3 = dir.getAbsolutePath() + "/" + filename.getFare_attributes().toString() + fileType; - // File file3 = new File(filePath3); - // file3.createNewFile(); - - // String filePath4 = dir.getAbsolutePath() + "/" + filename.getFare_rules().toString() + fileType; - // File file4 = new File(filePath4); - // file4.createNewFile(); - - // String filePath5 = dir.getAbsolutePath() + "/" + filename.getFeed_info().toString() + fileType; - // File file5 = new File(filePath5); - // file5.createNewFile(); - - // String filePath6 = dir.getAbsolutePath() + "/" + filename.getFrequencies().toString() + fileType; - // File file6 = new File(filePath6); - // file6.createNewFile(); - - String filePath7 = dir.getAbsolutePath() + "/" + filename.getRoutes().toString() + fileType; - File file7 = new File(filePath7); - file7.createNewFile(); - - // String filePath8 = dir.getAbsolutePath() + "/" + filename.getShapes().toString() + fileType; - // File file8 = new File(filePath8); - // file8.createNewFile(); - - String filePath9 = dir.getAbsolutePath() + "/" + filename.getStop_times().toString() + fileType; - File file9 = new File(filePath9); - file9.createNewFile(); - - String filePath10 = dir.getAbsolutePath() + "/" + filename.getStops().toString() + fileType; - File file10 = new File(filePath10); - file10.createNewFile(); - - // String filePath11 = dir.getAbsolutePath() + "/" + filename.getTransfers().toString() + fileType; - // File file11 = new File(filePath11); - // file11.createNewFile(); - - String filePath12 = dir.getAbsolutePath() + "/" + filename.getTrips().toString() + fileType; - File file12 = new File(filePath12); - file12.createNewFile(); - - } - - public static void main(String[] args) throws IOException { - writeFiles(); - } - -} diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSFolder.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSFolder.java deleted file mode 100644 index a7e57968..00000000 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSFolder.java +++ /dev/null @@ -1,68 +0,0 @@ -// SPDX-FileCopyrightText: NOI Techpark -// -// SPDX-License-Identifier: AGPL-3.0-or-later - -package com.opendatahub.file; - -import java.io.File; - -import java.io.IOException; - -import org.springframework.stereotype.Service; - -@Service -public class GTFSFolder { - - // private static final DateFormat SDF = new - // SimpleDateFormat("yyyy_MM_dd_HH_mm_ss"); - - // public static final File FOLDER_FILE = new File(new - // File(System.getProperty("user.home"), "Desktop"), - // "GTFS_" + SDF.format(new Date())); - - public static final File FOLDER_FILE = new File("GTFS"); - - public static String ZIP_FILE_NAME = FOLDER_FILE + ".zip"; - - public static void writeRequestAndResponse() throws IOException { - File theDir = FOLDER_FILE; - /* - * Date date = new Date(); - * SimpleDateFormat format = new SimpleDateFormat("yyyy_MM_dd_HH.mm.ss"); - * - * String currentDateTime = format.format(date); - * - * String folderPath = "C:/Users/39351/Desktop/" + "GTFS_" + currentDateTime; - * - * File theDir = new File(folderPath); - */ - - // if the directory does not exist, create it - if (!theDir.exists()) { - // System.out.println("creating directory: " + theDir.getName()); - boolean result = false; - - try { - - theDir.mkdirs(); - - result = true; - } catch (SecurityException se) { - // handle it - System.out.println(se.getMessage()); - } - if (result) { - System.out.println("Folder created"); - } - } else if (theDir.exists()) { - - System.out.println("Folder exist"); - } - - } - - public static void main(String[] args) throws IOException { - writeRequestAndResponse(); - } - -} diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSReadFileFolder.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSReadFileFolder.java deleted file mode 100644 index 36bd5a74..00000000 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSReadFileFolder.java +++ /dev/null @@ -1,102 +0,0 @@ -// SPDX-FileCopyrightText: NOI Techpark -// -// SPDX-License-Identifier: AGPL-3.0-or-later - -package com.opendatahub.file; - -import java.io.File; -import java.io.IOException; - -public class GTFSReadFileFolder { - - public static File Agency; - public static File Stops; - public static File Calendar_Dates; - public static File Calendar; - public static File Stop_times; - public static File Trips; - public static File Routes; - public static File Fare_rules; - - public static void readFiles() throws IOException { - File folder = GTFSFolder.FOLDER_FILE; - File[] listOfFiles = folder.listFiles(); - for (int i = 0; i < listOfFiles.length; i++) { - if (listOfFiles[i].isFile()) { - // System.out.println("File " + listOfFiles[i].getName()); - if (listOfFiles[i].getName().equals("agency.txt")) { - Agency = listOfFiles[i]; - // return listOfFiles[i]; - } - if (listOfFiles[i].getName().equals("stops.txt")) { - Stops = listOfFiles[i]; - // return listOfFiles[i]; - } - if (listOfFiles[i].getName().equals("calendar_dates.txt")) { - Calendar_Dates = listOfFiles[i]; - } - if (listOfFiles[i].getName().equals("calendar.txt")) { - Calendar = listOfFiles[i]; - } - if (listOfFiles[i].getName().equals("stop_times.txt")) { - Stop_times = listOfFiles[i]; - } - if (listOfFiles[i].getName().equals("routes.txt")) { - Routes = listOfFiles[i]; - } - if (listOfFiles[i].getName().equals("trips.txt")) { - Trips = listOfFiles[i]; - } - if (listOfFiles[i].getName().equals("fare_rules.txt")) { - Fare_rules = listOfFiles[i]; - } - } else if (listOfFiles[i].isDirectory()) { - // System.out.println("Directory " + listOfFiles[i].getName()); - } - } - - } - - public static void main(String[] args) throws IOException { - readFiles(); - } - - public static File getAgency() { - return Agency; - } - - public static File getStops() { - return Stops; - } - - public static File getCalendar_Dates() { - // TODO Auto-generated method stub - return Calendar_Dates; - } - - public static File getCalendar() { - // TODO Auto-generated method stub - return Calendar; - } - - public static File getStop_Times() { - // TODO Auto-generated method stub - return Stop_times; - } - - public static File getTrips() { - // TODO Auto-generated method stub - return Trips; - } - - public static File getRoutes() { - // TODO Auto-generated method stub - return Routes; - } - - public static File getFare_rules() { - // TODO Auto-generated method stub - return Fare_rules; - } - -} diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSStop_Times.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSStop_Times.java deleted file mode 100644 index e49cf207..00000000 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSStop_Times.java +++ /dev/null @@ -1,33 +0,0 @@ -// SPDX-FileCopyrightText: NOI Techpark -// -// SPDX-License-Identifier: AGPL-3.0-or-later - -package com.opendatahub.file; - -import java.io.FileWriter; -import java.util.ArrayList; - -import com.opendatahub.gtfs.Stop_TimesValues; - -public class GTFSStop_Times { - - public static void writeStop_Times(ArrayList stopTimesValues) throws Exception { - String firstLine = "trip_id,arrival_time,departure_time,stop_id,stop_sequence,timepoint"; - - GTFSReadFileFolder.readFiles(); - FileWriter writer = new FileWriter(GTFSReadFileFolder.getStop_Times()); - writer.write(firstLine); - writer.write(System.getProperty("line.separator")); - for (var stoptimesvalues : stopTimesValues) { - writer.write(stoptimesvalues.trip_id() + ","); - // well, not nice, but this solves the needed formatting of HH:MM:SS - writer.write(stoptimesvalues.arrival_time() + ":00" + ","); - writer.write(stoptimesvalues.departure_time() + ":00" + ","); - writer.write(stoptimesvalues.stop_id().toString() + ","); - writer.write(String.valueOf(stoptimesvalues.stop_sequence()) + ","); - writer.write(String.valueOf(stoptimesvalues.timepoint().value)); - writer.write(System.getProperty("line.separator")); - } - writer.close(); - } -} diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteAgency.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteAgency.java deleted file mode 100644 index 1259ff40..00000000 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteAgency.java +++ /dev/null @@ -1,35 +0,0 @@ -// SPDX-FileCopyrightText: NOI Techpark -// -// SPDX-License-Identifier: AGPL-3.0-or-later - -package com.opendatahub.file; - -import java.io.FileWriter; -import java.util.ArrayList; -import java.util.HashSet; -import java.util.Set; - -import com.opendatahub.gtfs.AgencyValues; - -public class GTFSWriteAgency { - public static void writeAgency(ArrayList agencyvalueslist) throws Exception { - - GTFSReadFileFolder.readFiles(); - try (FileWriter writer = new FileWriter(GTFSReadFileFolder.getAgency());) { - - String firstLine = "agency_id,agency_name,agency_url,agency_timezone"; - writer.write(firstLine); - writer.write(System.getProperty("line.separator")); - - Set uniqueAgencies = new HashSet<>(agencyvalueslist); - - for (AgencyValues agency : uniqueAgencies) { - writer.write(agency.agency_name() + ","); - writer.write(agency.agency_id() + ","); - writer.write(agency.agency_url().toString() + ","); - writer.write(agency.agency_timezone().toString()); - writer.write(System.getProperty("line.separator")); - } - } - } -} diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteCalendar.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteCalendar.java deleted file mode 100644 index e426fef8..00000000 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteCalendar.java +++ /dev/null @@ -1,37 +0,0 @@ -// SPDX-FileCopyrightText: NOI Techpark -// -// SPDX-License-Identifier: AGPL-3.0-or-later - -package com.opendatahub.file; - -import java.io.FileWriter; -import java.util.List; - -import com.opendatahub.gtfs.CalendarValues; - -public class GTFSWriteCalendar { - public static void writeCalendar(List calendarValuesList) throws Exception { - - String firstLine = "service_id,monday,tuesday,wednesday,thursday,friday,saturday,sunday,start_date,end_date"; - - GTFSReadFileFolder.readFiles(); - FileWriter writer = new FileWriter(GTFSReadFileFolder.getCalendar()); - writer.write(firstLine); - writer.write(System.getProperty("line.separator")); - - for (CalendarValues cal : calendarValuesList) { - writer.write(cal.getService_id() + ","); - writer.write(cal.getMonday() + ","); - writer.write(cal.getTuesday() + ","); - writer.write(cal.getWednesday() + ","); - writer.write(cal.getThursday() + ","); - writer.write(cal.getFriday() + ","); - writer.write(cal.getSaturday() + ","); - writer.write(cal.getSunday() + ","); - writer.write(cal.getStart_date() + ","); - writer.write(cal.getEnd_date()); - writer.write(System.getProperty("line.separator")); - } - writer.close(); - } -} diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteCalendar_Dates.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteCalendar_Dates.java deleted file mode 100644 index d45f1772..00000000 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteCalendar_Dates.java +++ /dev/null @@ -1,21 +0,0 @@ -// SPDX-FileCopyrightText: NOI Techpark -// -// SPDX-License-Identifier: AGPL-3.0-or-later - -package com.opendatahub.file; - -import java.io.FileWriter; -import java.util.ArrayList; - -import com.opendatahub.gtfs.Calendar_DatesValues; - -public class GTFSWriteCalendar_Dates { - public static void writeCalendar_Dates(ArrayList calendarValuesList) throws Exception { - String firstLine = "service_id,date,exception_type"; - - GTFSReadFileFolder.readFiles(); - FileWriter writer = new FileWriter(GTFSReadFileFolder.getCalendar_Dates()); - writer.write(firstLine); - writer.close(); - } -} diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteRoutes.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteRoutes.java deleted file mode 100644 index 0abd9824..00000000 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteRoutes.java +++ /dev/null @@ -1,33 +0,0 @@ -// SPDX-FileCopyrightText: NOI Techpark -// -// SPDX-License-Identifier: AGPL-3.0-or-later - -package com.opendatahub.file; - -import java.io.FileWriter; -import java.util.ArrayList; -import java.util.HashSet; -import java.util.Set; - -import com.opendatahub.gtfs.RoutesValues; - -public class GTFSWriteRoutes { - public static void writeRoutes(ArrayList routesValueslist) throws Exception { - String firstLine = "route_id,route_short_name,route_type,agency_id"; - - GTFSReadFileFolder.readFiles(); - FileWriter writer = new FileWriter(GTFSReadFileFolder.getRoutes()); - writer.write(firstLine); - writer.write(System.getProperty("line.separator")); - - Set uniqueRoutes = new HashSet<>(routesValueslist); - for (RoutesValues route : uniqueRoutes) { - writer.write(route.route_id() + ","); - writer.write(route.route_short_name().toString() + ","); - writer.write(String.valueOf(route.route_type()) + ","); - writer.write(route.agency_id()); - writer.write(System.getProperty("line.separator")); - } - writer.close(); - } -} diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteStops.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteStops.java deleted file mode 100644 index 2ca5102f..00000000 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteStops.java +++ /dev/null @@ -1,35 +0,0 @@ -// SPDX-FileCopyrightText: NOI Techpark -// -// SPDX-License-Identifier: AGPL-3.0-or-later - -package com.opendatahub.file; - -import java.io.FileWriter; -import java.util.ArrayList; -import java.util.HashSet; -import java.util.Set; - -import com.opendatahub.gtfs.StopsValue; - -public class GTFSWriteStops { - - public static void writeStops(ArrayList stopsvalues) throws Exception { - String firstLine = "stop_id,stop_code,stop_name,stop_lat,stop_lon"; - - GTFSReadFileFolder.readFiles(); - FileWriter writer = new FileWriter(GTFSReadFileFolder.getStops()); - writer.write(firstLine); - writer.write(System.getProperty("line.separator")); - Set uniqueStops = new HashSet<>(stopsvalues); - - for (StopsValue stop : uniqueStops) { - writer.write(stop.stop_id() + ","); - writer.write(stop.stop_code() + ","); - writer.write(stop.stop_name().toString() + ","); - writer.write(String.valueOf(stop.stop_lat()) + ","); - writer.write(String.valueOf(stop.stop_lon())); - writer.write(System.getProperty("line.separator")); - } - writer.close(); - } -} diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteTrips.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteTrips.java deleted file mode 100644 index 8b41e0f9..00000000 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriteTrips.java +++ /dev/null @@ -1,28 +0,0 @@ -// SPDX-FileCopyrightText: NOI Techpark -// -// SPDX-License-Identifier: AGPL-3.0-or-later - -package com.opendatahub.file; - -import java.io.FileWriter; -import java.util.ArrayList; - -import com.opendatahub.gtfs.TripsValues; - -public class GTFSWriteTrips { - public static void writeTrips(ArrayList tripsvalueslist) throws Exception { - String firstLine = "route_id,service_id,trip_id"; - - GTFSReadFileFolder.readFiles(); - FileWriter writer = new FileWriter(GTFSReadFileFolder.getTrips()); - writer.write(firstLine); - writer.write(System.getProperty("line.separator")); - for (TripsValues tripsvalues : tripsvalueslist) { - writer.write(tripsvalues.route_id() + ","); - writer.write(tripsvalues.service_id() + ","); - writer.write(tripsvalues.trip_id().toString()); - writer.write(System.getProperty("line.separator")); - } - writer.close(); - } -} diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriter.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriter.java new file mode 100644 index 00000000..984a6a96 --- /dev/null +++ b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriter.java @@ -0,0 +1,185 @@ +// SPDX-FileCopyrightText: NOI Techpark +// +// SPDX-License-Identifier: AGPL-3.0-or-later + +package com.opendatahub.file; + +import java.io.File; +import java.io.PrintWriter; +import java.text.DecimalFormat; +import java.util.ArrayList; +import java.util.HashSet; +import java.util.List; +import java.util.Set; + +import com.opendatahub.gtfs.AgencyValues; +import com.opendatahub.gtfs.CalendarValues; +import com.opendatahub.gtfs.Calendar_DatesValues; +import com.opendatahub.gtfs.FeedInfoValue; +import com.opendatahub.gtfs.RoutesValues; +import com.opendatahub.gtfs.ShapeValue; +import com.opendatahub.gtfs.Stop_TimesValues; +import com.opendatahub.gtfs.StopsValue; +import com.opendatahub.gtfs.TripsValues; + +public class GTFSWriter { + public static final File FOLDER_FILE = new File("GTFS"); + + public static String ZIP_FILE_NAME = FOLDER_FILE + ".zip"; + + public static void makeFolder() throws Exception { + if (!FOLDER_FILE.exists()) { + FOLDER_FILE.mkdirs(); + } + } + + private static List newCsv() { + return new ArrayList<>(); + } + + private static void addRow(List l, String... vs) { + l.add(vs); + }; + + private static void writeCsv(String file, List csv) throws Exception { + try (PrintWriter pw = new PrintWriter(FOLDER_FILE.getAbsolutePath() + "/" + file)) { + csv.stream() + .map(r -> String.join(",", r)) + .forEach(pw::println); + } + } + + public static void writeStop_Times(List stopTimesValues) throws Exception { + var csv = newCsv(); + addRow(newCsv(), "trip_id", "arrival_time", "departure_time", "stop_id", "stop_sequence", "timepoint", "shape_dist_traveled"); + for (var stoptimesvalues : stopTimesValues) { + addRow(csv, + stoptimesvalues.trip_id(), + // well, not nice, but this solves the needed formatting of HH:MM:SS + stoptimesvalues.arrival_time() + ":00", + stoptimesvalues.departure_time() + ":00", + stoptimesvalues.stop_id(), + String.valueOf(stoptimesvalues.stop_sequence()), + String.valueOf(stoptimesvalues.timepoint().value), + stoptimesvalues.shape_dist_traveled()); + } + writeCsv("stop_times.txt", csv); + } + + public static void writeAgency(List agencyvalueslist) throws Exception { + var csv = newCsv(); + addRow(csv, "agency_id", "agency_name", "agency_url", "agency_timezone"); + + Set uniqueAgencies = new HashSet<>(agencyvalueslist); + + for (AgencyValues agency : uniqueAgencies) { + addRow(csv, + agency.agency_name(), + agency.agency_id(), + agency.agency_url().toString(), + agency.agency_timezone()); + } + writeCsv("agency.txt", csv); + } + + public static void writeCalendar_Dates(List calendarValuesList) throws Exception { + var csv = newCsv(); + addRow(csv, "service_id", "date", "exception_type"); + writeCsv("calendar_dates.txt", csv); + } + + public static void writeCalendar(List calendarValuesList) throws Exception { + var csv = newCsv(); + addRow(csv, "service_id", "monday", "tuesday", "wednesday", "thursday", "friday", "saturday", "sunday", + "start_date", "end_date"); + + for (CalendarValues cal : calendarValuesList) { + addRow(csv, + cal.getService_id(), + String.valueOf(cal.getMonday()), + String.valueOf(cal.getTuesday()), + String.valueOf(cal.getWednesday()), + String.valueOf(cal.getThursday()), + String.valueOf(cal.getFriday()), + String.valueOf(cal.getSaturday()), + String.valueOf(cal.getSunday()), + cal.getStart_date(), + cal.getEnd_date()); + } + writeCsv("calendar.txt", csv); + } + + public static void writeRoutes(List routesValueslist) throws Exception { + var csv = newCsv(); + addRow(csv, "route_id", "route_short_name", "route_type", "agency_id"); + + Set uniqueRoutes = new HashSet<>(routesValueslist); + for (RoutesValues route : uniqueRoutes) { + addRow(csv, + route.route_id(), + route.route_short_name().toString(), + String.valueOf(route.route_type()), + route.agency_id()); + } + writeCsv("routes.txt", csv); + } + + public static void writeStops(List stopsvalues) throws Exception { + var csv = newCsv(); + addRow(csv, "stop_id", "stop_code", "stop_name", "stop_lat", "stop_lon"); + + Set uniqueStops = new HashSet<>(stopsvalues); + + for (StopsValue stop : uniqueStops) { + addRow(csv, + stop.stop_id(), + stop.stop_code(), + stop.stop_name().toString(), + stop.stop_lat(), + stop.stop_lon()); + } + writeCsv("stops.txt", csv); + } + + public static void writeTrips(List tripsvalueslist) throws Exception { + var csv = newCsv(); + addRow(csv, "route_id", "service_id", "trip_id", "shape_id"); + + for (TripsValues tripsvalues : tripsvalueslist) { + addRow(csv, + tripsvalues.route_id(), + tripsvalues.service_id(), + tripsvalues.trip_id(), + tripsvalues.shape_id()); + } + writeCsv("trips.txt", csv); + } + + public static void writeFeedInfo(List feedInfos) throws Exception { + var csv = newCsv(); + addRow(csv, " feed_publisher_name", "feed_publisher_url", "feed_lang"); + + for (FeedInfoValue feed : feedInfos) { + addRow(csv, + feed.feed_publisher_name(), + feed.feed_publisher_url(), + feed.feed_lang()); + } + writeCsv("feed_info.txt", csv); + } + + public static void writeShape(List shapes) throws Exception { + var csv = newCsv(); + addRow(csv, " shape_id", "shape_pt_lat", "shape_pt_lon", "shape_pt_sequence", "shape_dist_traveled"); + + for (ShapeValue shape : shapes) { + addRow(csv, + shape.shape_id(), + shape.shape_pt_lat(), + shape.shape_pt_lon(), + String.valueOf(shape.shape_pt_sequence()), + shape.shape_dist_traveled()); + } + writeCsv("shape.txt", csv); + } +} diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/gtfs/FeedInfoValue.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/gtfs/FeedInfoValue.java new file mode 100644 index 00000000..8884cf52 --- /dev/null +++ b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/gtfs/FeedInfoValue.java @@ -0,0 +1,11 @@ +// SPDX-FileCopyrightText: NOI Techpark +// +// SPDX-License-Identifier: AGPL-3.0-or-later + +package com.opendatahub.gtfs; + +public record FeedInfoValue ( + String feed_publisher_name, + String feed_publisher_url, + String feed_lang +){} diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/gtfs/ShapeValue.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/gtfs/ShapeValue.java new file mode 100644 index 00000000..16c43f8f --- /dev/null +++ b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/gtfs/ShapeValue.java @@ -0,0 +1,13 @@ +// SPDX-FileCopyrightText: NOI Techpark +// +// SPDX-License-Identifier: AGPL-3.0-or-later + +package com.opendatahub.gtfs; + +public record ShapeValue ( + String shape_id, + String shape_pt_lat, + String shape_pt_lon, + int shape_pt_sequence, + String shape_dist_traveled +){} diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/gtfs/Stop_TimesValues.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/gtfs/Stop_TimesValues.java index e48912d3..357e857c 100644 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/gtfs/Stop_TimesValues.java +++ b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/gtfs/Stop_TimesValues.java @@ -12,4 +12,5 @@ public record Stop_TimesValues( String departure_time, String stop_id, int stop_sequence, - Timepoint timepoint) {} + Timepoint timepoint, + String shape_dist_traveled) {} diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/gtfs/TripsValues.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/gtfs/TripsValues.java index 0367531a..db5238eb 100644 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/gtfs/TripsValues.java +++ b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/gtfs/TripsValues.java @@ -8,6 +8,7 @@ public record TripsValues ( String route_id, // read specifications String service_id, String trip_id, // scode - int direction_id// Check if the in the ODH API if a flight departs from Bolzano (in this case + int direction_id,// Check if the in the ODH API if a flight departs from Bolzano (in this case // value is 0) or arrives to Bolzano (int his case value is 1) + String shape_id ){} From 34ffcb4001b0262f642bbced28c7ef3b86db5a87 Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Thu, 22 Aug 2024 17:22:34 +0200 Subject: [PATCH 143/154] Yet another docker compose version tag removal --- flighdata-skyalps-gtfs/infrastructure/docker-compose.build.yml | 2 -- flighdata-skyalps-gtfs/infrastructure/docker-compose.run.yml | 2 -- 2 files changed, 4 deletions(-) diff --git a/flighdata-skyalps-gtfs/infrastructure/docker-compose.build.yml b/flighdata-skyalps-gtfs/infrastructure/docker-compose.build.yml index 93d36f02..d5a65a94 100644 --- a/flighdata-skyalps-gtfs/infrastructure/docker-compose.build.yml +++ b/flighdata-skyalps-gtfs/infrastructure/docker-compose.build.yml @@ -1,5 +1,3 @@ -version: "3.4" - services: app: image: ${DOCKER_IMAGE}:${DOCKER_TAG} diff --git a/flighdata-skyalps-gtfs/infrastructure/docker-compose.run.yml b/flighdata-skyalps-gtfs/infrastructure/docker-compose.run.yml index 8be5e08f..fbb6acf9 100644 --- a/flighdata-skyalps-gtfs/infrastructure/docker-compose.run.yml +++ b/flighdata-skyalps-gtfs/infrastructure/docker-compose.run.yml @@ -1,5 +1,3 @@ -version: "3.4" - services: app: image: ${DOCKER_IMAGE}:${DOCKER_TAG} From 009e52b0a16e5a0068869b7a726eea08fd3706c2 Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Thu, 22 Aug 2024 17:29:30 +0200 Subject: [PATCH 144/154] skyalps gtfs fix bug where no header was written for stop times --- .../src/main/java/com/opendatahub/file/GTFSWriter.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriter.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriter.java index 984a6a96..5e0aecc7 100644 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriter.java +++ b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriter.java @@ -51,7 +51,7 @@ private static void writeCsv(String file, List csv) throws Exception { public static void writeStop_Times(List stopTimesValues) throws Exception { var csv = newCsv(); - addRow(newCsv(), "trip_id", "arrival_time", "departure_time", "stop_id", "stop_sequence", "timepoint", "shape_dist_traveled"); + addRow(csv, "trip_id", "arrival_time", "departure_time", "stop_id", "stop_sequence", "timepoint", "shape_dist_traveled"); for (var stoptimesvalues : stopTimesValues) { addRow(csv, stoptimesvalues.trip_id(), From 3c1958eb2f55f3d77138ccbe40e72870a971beb3 Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Mon, 9 Sep 2024 14:31:22 +0200 Subject: [PATCH 145/154] skyalps-gtfs: fix shapes duplicates --- .../java/com/opendatahub/JobScheduler.java | 11 ++---- .../java/com/opendatahub/file/GTFSWriter.java | 35 +++++++++++++------ 2 files changed, 28 insertions(+), 18 deletions(-) diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/JobScheduler.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/JobScheduler.java index abbe2b59..1b05b3b1 100644 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/JobScheduler.java +++ b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/JobScheduler.java @@ -13,6 +13,9 @@ import java.text.DecimalFormat; import java.text.SimpleDateFormat; import java.util.ArrayList; +import java.util.Arrays; +import java.util.Collections; +import java.util.Comparator; import java.util.Date; import java.util.HashMap; import java.util.List; @@ -174,14 +177,6 @@ public void calculateGtfs() throws Exception { gtfsRoutes.add(new RoutesValues(flight.id, flight.name, RoutesValues.ROUTE_TYPE_AIR_SERVICE, agencySkyalps.agency_id())); } - // shapes unique per ID/sequence - gtfsShapes = gtfsShapes.stream() - .collect(Collectors.toMap( - s -> new Object[]{s.shape_id(), s.shape_pt_sequence()}, - Function.identity())) - .values().stream() - .toList(); - GTFSWriter.writeAgency(gtfsAgencies); GTFSWriter.writeCalendar_Dates(gtfsCalendarDates); GTFSWriter.writeStop_Times(gtfsStopTimes); diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriter.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriter.java index 5e0aecc7..115aef56 100644 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriter.java +++ b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriter.java @@ -8,9 +8,14 @@ import java.io.PrintWriter; import java.text.DecimalFormat; import java.util.ArrayList; +import java.util.Arrays; +import java.util.Collections; +import java.util.Comparator; import java.util.HashSet; import java.util.List; import java.util.Set; +import java.util.function.Function; +import java.util.stream.Collectors; import com.opendatahub.gtfs.AgencyValues; import com.opendatahub.gtfs.CalendarValues; @@ -26,7 +31,7 @@ public class GTFSWriter { public static final File FOLDER_FILE = new File("GTFS"); public static String ZIP_FILE_NAME = FOLDER_FILE + ".zip"; - + public static void makeFolder() throws Exception { if (!FOLDER_FILE.exists()) { FOLDER_FILE.mkdirs(); @@ -51,7 +56,8 @@ private static void writeCsv(String file, List csv) throws Exception { public static void writeStop_Times(List stopTimesValues) throws Exception { var csv = newCsv(); - addRow(csv, "trip_id", "arrival_time", "departure_time", "stop_id", "stop_sequence", "timepoint", "shape_dist_traveled"); + addRow(csv, "trip_id", "arrival_time", "departure_time", "stop_id", "stop_sequence", "timepoint", + "shape_dist_traveled"); for (var stoptimesvalues : stopTimesValues) { addRow(csv, stoptimesvalues.trip_id(), @@ -172,14 +178,23 @@ public static void writeShape(List shapes) throws Exception { var csv = newCsv(); addRow(csv, " shape_id", "shape_pt_lat", "shape_pt_lon", "shape_pt_sequence", "shape_dist_traveled"); - for (ShapeValue shape : shapes) { - addRow(csv, - shape.shape_id(), - shape.shape_pt_lat(), - shape.shape_pt_lon(), - String.valueOf(shape.shape_pt_sequence()), - shape.shape_dist_traveled()); - } + shapes.stream() + // shapes unique per ID/sequence + .collect(Collectors.toConcurrentMap( + s -> Collections.unmodifiableList(Arrays.asList(s.shape_id(), s.shape_pt_sequence())), + Function.identity(), + (l, r) -> l)) + .values().stream() + .sorted(Comparator + .comparing(ShapeValue::shape_id) + .thenComparing(ShapeValue::shape_pt_sequence)) + .forEach((shape) -> addRow(csv, + shape.shape_id(), + shape.shape_pt_lat(), + shape.shape_pt_lon(), + String.valueOf(shape.shape_pt_sequence()), + shape.shape_dist_traveled())); + writeCsv("shape.txt", csv); } } From 2bccc6a0bfc36b0d7e67199f172270121a84a681 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 11 Sep 2024 11:14:47 +0200 Subject: [PATCH 146/154] pollution: delete deprecated code --- .github/workflows/ci-pollution-v2.yml | 4 +- .github/workflows/ci-pollution.yml | 175 ------ pollution/.env.example | 19 - pollution/.gitignore | 8 - pollution/.pre-commit-config.yaml | 19 - pollution/CHANGELOG.md | 39 -- pollution/README.md | 191 ------- pollution/docker-compose.yml | 57 -- pollution/documentation/Architecture.png | Bin 29738 -> 0 bytes pollution/documentation/SequenceDiagram.png | Bin 71558 -> 0 bytes pollution/infrastructure/ansible/ansible.cfg | 4 - pollution/infrastructure/ansible/deploy.yml | 19 - pollution/infrastructure/ansible/hosts | 6 - .../infrastructure/ansible/requirements.yml | 2 - .../infrastructure/ansible/roles/.gitignore | 2 - .../infrastructure/docker-compose.build.yml | 8 - .../infrastructure/docker-compose.run.yml | 43 -- pollution/infrastructure/docker/Dockerfile | 13 - pollution/requirements.txt | 11 - pollution/src/pollution_connector/__init__.py | 3 - .../src/pollution_connector/cache/__init__.py | 3 - .../src/pollution_connector/cache/common.py | 69 --- .../cache/computation_checkpoint.py | 53 -- .../celery_configuration/__init__.py | 3 - .../celery_configuration/celery_app.py | 40 -- .../celery_configuration/periodic_tasks.py | 29 - .../pollution_connector/common/__init__.py | 3 - .../src/pollution_connector/common/logging.py | 72 --- .../pollution_connector/connector/__init__.py | 3 - .../connector/collector.py | 70 --- .../pollution_connector/connector/common.py | 522 ------------------ .../connector/pollution.py | 59 -- .../pollution_connector/connector/traffic.py | 64 --- .../data_model/__init__.py | 3 - .../pollution_connector/data_model/common.py | 186 ------- .../data_model/pollution.py | 71 --- .../pollution_connector/data_model/traffic.py | 147 ----- pollution/src/pollution_connector/main.py | 59 -- .../CopertEmissions.py | 97 ---- .../pollution_computation_model/__init__.py | 3 - .../input/blacklist.txt | 31 -- .../input/copert55.db | Bin 44908544 -> 0 bytes .../input/fc_info.csv | 37 -- .../input/geometry.csv | 316 ----------- .../pollution_computation_model/input/km.csv | 52 -- .../pollution_computation_model.py | 102 ---- pollution/src/pollution_connector/settings.py | 58 -- .../src/pollution_connector/tasks/__init__.py | 3 - .../tasks/pollution_computation.py | 238 -------- pollution/test/__init__.py | 3 - pollution/test/unit/__init__.py | 3 - .../unit/test_pollution_connector/__init__.py | 3 - .../connector/__init__.py | 3 - .../connector/mock_collector.py | 49 -- .../connector/test_pollution.py | 85 --- .../connector/test_traffic.py | 83 --- .../data_model/__init__.py | 3 - .../data_model/generator.py | 83 --- .../data_model/test_common.py | 141 ----- .../data_model/test_traffic.py | 320 ----------- .../pollution_computation_model/__init__.py | 3 - .../test_pollution_computation_model.py | 16 - .../tasks/__init__.py | 3 - .../tasks/test_pollution_computation.py | 70 --- 64 files changed, 2 insertions(+), 3882 deletions(-) delete mode 100644 .github/workflows/ci-pollution.yml delete mode 100644 pollution/.env.example delete mode 100644 pollution/.gitignore delete mode 100644 pollution/.pre-commit-config.yaml delete mode 100644 pollution/CHANGELOG.md delete mode 100644 pollution/README.md delete mode 100644 pollution/docker-compose.yml delete mode 100644 pollution/documentation/Architecture.png delete mode 100644 pollution/documentation/SequenceDiagram.png delete mode 100644 pollution/infrastructure/ansible/ansible.cfg delete mode 100644 pollution/infrastructure/ansible/deploy.yml delete mode 100644 pollution/infrastructure/ansible/hosts delete mode 100644 pollution/infrastructure/ansible/requirements.yml delete mode 100644 pollution/infrastructure/ansible/roles/.gitignore delete mode 100644 pollution/infrastructure/docker-compose.build.yml delete mode 100644 pollution/infrastructure/docker-compose.run.yml delete mode 100644 pollution/infrastructure/docker/Dockerfile delete mode 100644 pollution/requirements.txt delete mode 100644 pollution/src/pollution_connector/__init__.py delete mode 100644 pollution/src/pollution_connector/cache/__init__.py delete mode 100644 pollution/src/pollution_connector/cache/common.py delete mode 100644 pollution/src/pollution_connector/cache/computation_checkpoint.py delete mode 100644 pollution/src/pollution_connector/celery_configuration/__init__.py delete mode 100644 pollution/src/pollution_connector/celery_configuration/celery_app.py delete mode 100644 pollution/src/pollution_connector/celery_configuration/periodic_tasks.py delete mode 100644 pollution/src/pollution_connector/common/__init__.py delete mode 100644 pollution/src/pollution_connector/common/logging.py delete mode 100644 pollution/src/pollution_connector/connector/__init__.py delete mode 100644 pollution/src/pollution_connector/connector/collector.py delete mode 100644 pollution/src/pollution_connector/connector/common.py delete mode 100644 pollution/src/pollution_connector/connector/pollution.py delete mode 100644 pollution/src/pollution_connector/connector/traffic.py delete mode 100644 pollution/src/pollution_connector/data_model/__init__.py delete mode 100644 pollution/src/pollution_connector/data_model/common.py delete mode 100644 pollution/src/pollution_connector/data_model/pollution.py delete mode 100644 pollution/src/pollution_connector/data_model/traffic.py delete mode 100644 pollution/src/pollution_connector/main.py delete mode 100644 pollution/src/pollution_connector/pollution_computation_model/CopertEmissions.py delete mode 100644 pollution/src/pollution_connector/pollution_computation_model/__init__.py delete mode 100644 pollution/src/pollution_connector/pollution_computation_model/input/blacklist.txt delete mode 100644 pollution/src/pollution_connector/pollution_computation_model/input/copert55.db delete mode 100644 pollution/src/pollution_connector/pollution_computation_model/input/fc_info.csv delete mode 100644 pollution/src/pollution_connector/pollution_computation_model/input/geometry.csv delete mode 100644 pollution/src/pollution_connector/pollution_computation_model/input/km.csv delete mode 100644 pollution/src/pollution_connector/pollution_computation_model/pollution_computation_model.py delete mode 100644 pollution/src/pollution_connector/settings.py delete mode 100644 pollution/src/pollution_connector/tasks/__init__.py delete mode 100644 pollution/src/pollution_connector/tasks/pollution_computation.py delete mode 100644 pollution/test/__init__.py delete mode 100644 pollution/test/unit/__init__.py delete mode 100644 pollution/test/unit/test_pollution_connector/__init__.py delete mode 100644 pollution/test/unit/test_pollution_connector/connector/__init__.py delete mode 100644 pollution/test/unit/test_pollution_connector/connector/mock_collector.py delete mode 100644 pollution/test/unit/test_pollution_connector/connector/test_pollution.py delete mode 100644 pollution/test/unit/test_pollution_connector/connector/test_traffic.py delete mode 100644 pollution/test/unit/test_pollution_connector/data_model/__init__.py delete mode 100644 pollution/test/unit/test_pollution_connector/data_model/generator.py delete mode 100644 pollution/test/unit/test_pollution_connector/data_model/test_common.py delete mode 100644 pollution/test/unit/test_pollution_connector/data_model/test_traffic.py delete mode 100644 pollution/test/unit/test_pollution_connector/pollution_computation_model/__init__.py delete mode 100644 pollution/test/unit/test_pollution_connector/pollution_computation_model/test_pollution_computation_model.py delete mode 100644 pollution/test/unit/test_pollution_connector/tasks/__init__.py delete mode 100644 pollution/test/unit/test_pollution_connector/tasks/test_pollution_computation.py diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 45db5965..04b0a51a 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -83,8 +83,8 @@ jobs: X_AIRFLOW_WWW_USER_PASSWORD: ${{ secrets.AIRFLOW_WWW_USER_PASSWORD }} X_AIRFLOW_VAR_DATATYPE_PREFIX: '' - X_AIRFLOW_VAR_DAG_POLLUTION_EXECUTION_CRONTAB: 0 4 * * * - X_AIRFLOW_VAR_DAG_VALIDATION_EXECUTION_CRONTAB: 0 2 * * * + X_AIRFLOW_VAR_DAG_POLLUTION_EXECUTION_CRONTAB: 0 5 * * * + X_AIRFLOW_VAR_DAG_VALIDATION_EXECUTION_CRONTAB: 0 3 * * * # username/pass not needed with client_credentials X_AIRFLOW_VAR_ODH_PASSWORD: 'ODH_PASSWORD' diff --git a/.github/workflows/ci-pollution.yml b/.github/workflows/ci-pollution.yml deleted file mode 100644 index 96146185..00000000 --- a/.github/workflows/ci-pollution.yml +++ /dev/null @@ -1,175 +0,0 @@ -# name: CI/CD pollution -# -# on: -# push: -# paths: -# - "pollution/**" -# - ".github/workflows/ci-pollution.yml" -# - "!*.md" -# -# env: -# WORKING_DIRECTORY: pollution -# PROJECT_NAME: odh-mobility-el-pollution -# DOCKER_IMAGE: ghcr.io/${{ github.repository }}/odh-mobility-el-pollution -# DOCKER_TAG: ${{ github.sha }} -# -# jobs: -# test: -# runs-on: ubuntu-22.04 -# steps: -# - name: Checkout source code -# uses: noi-techpark/github-actions/checkout@v2 -# - name: REUSE Compliance Check -# uses: fsfe/reuse-action@v1 -# -# - name: install setuptools needed to use distutils with python > 3.12 -# run: python3 -m pip install setuptools -# -# - name: Test code -# uses: noi-techpark/github-actions/pip-test@v2 -# with: -# working-directory: ${{ env.WORKING_DIRECTORY }} -# test-command: | -# echo "WARNING: NO TESTS FOUND!" -# -# # Deploy Test -# deploy-test-pollution: -# runs-on: ubuntu-22.04 -# if: github.ref == 'refs/heads/main' -# needs: test -# concurrency: deploy-test-pollution -# env: -# KEYCLOAK_URL: https://auth.opendatahub.testingmachine.eu -# steps: -# - name: Checkout source code -# uses: noi-techpark/github-actions/checkout@v2 -# - name: Create .env file -# uses: noi-techpark/github-actions/env-file@v2 -# with: -# working-directory: ${{ env.WORKING_DIRECTORY }} -# env: -# # General deployment options -# X_COMPOSE_PROJECT_NAME: ${{ env.PROJECT_NAME }} -# X_DOCKER_IMAGE: ${{ env.DOCKER_IMAGE }} -# X_DOCKER_TAG: ${{ env.DOCKER_TAG }} -# -# X_LOG_LEVEL: INFO -# X_LOG_LEVEL_LIBS: INFO -# -# X_CELERY_BROKER_URL: redis://pollution-connector-redis:6379/1 -# X_CELERY_BACKEND_URL: redis://pollution-connector-redis:6379/2 -# X_CELERY_RESULT_EXPIRATION_SECONDS: "604800" -# -# X_POLLUTION_TASK_SCHEDULING_MINUTE: "*/10" -# X_POLLUTION_TASK_SCHEDULING_HOUR: "*" -# -# X_ODH_BASE_READER_URL: https://mobility.api.opendatahub.testingmachine.eu -# X_ODH_BASE_WRITER_URL: https://share.opendatahub.testingmachine.eu -# X_ODH_AUTHENTICATION_URL: https://auth.opendatahub.testingmachine.eu/auth/ -# X_ODH_CLIENT_ID: odh-a22-dataprocessor -# X_ODH_CLIENT_SECRET: ${{ secrets.COMBINED_CLIENT_SECRET_TEST }} -# X_ODH_GRANT_TYPE: client_credentials -# X_ODH_PAGINATION_SIZE: 10000 -# X_ODH_MAX_POST_BATCH_SIZE: 10000 -# X_PROVENANCE_NAME: ${{ env.PROJECT_NAME }} -# X_PROVENANCE_VERSION: ${{ github.sha }} -# -# # Force python to not buffer stdout -# X_PYTHONUNBUFFERED: "true" -# -# X_ODH_COMPUTATION_BATCH_SIZE: 7 -# X_COMPUTATION_CHECKPOINT_REDIS_HOST: pollution-connector-redis -# X_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 -# X_COMPUTATION_CHECKPOINT_REDIS_DB: 3 -# -# # use 2018 for first import, otherwise a more recent date -# # X_ODH_MINIMUM_STARTING_DATE : "2018-01-01" -# X_ODH_MINIMUM_STARTING_DATE : "2023-07-01 00:00:00+00:00" -# -# -# - name: Build and push images -# uses: noi-techpark/github-actions/docker-build-and-push@v2 -# with: -# working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure -# docker-username: ${{ github.actor }} -# docker-password: ${{ secrets.GITHUB_TOKEN }} -# -# - name: Deploy application -# uses: noi-techpark/github-actions/docker-deploy@v2 -# with: -# working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure/ansible -# hosts: 'test' -# ssh-private-key: ${{ secrets.SSH_PRIVATE_KEY }} -# docker-username: 'noi-techpark-bot' -# docker-password: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }} -# project-name: ${{ env.PROJECT_NAME }} -# -# # Deploy Prod -# deploy-prod-pollution: -# runs-on: ubuntu-22.04 -# if: github.ref == 'refs/heads/prod' -# needs: test -# concurrency: deploy-prod-pollution -# env: -# KEYCLOAK_URL: https://auth.opendatahub.com -# steps: -# - name: Checkout source code -# uses: noi-techpark/github-actions/checkout@v2 -# - name: Create .env file -# uses: noi-techpark/github-actions/env-file@v2 -# with: -# working-directory: ${{ env.WORKING_DIRECTORY }} -# env: -# X_COMPOSE_PROJECT_NAME: ${{ env.PROJECT_NAME }} -# X_DOCKER_IMAGE: ${{ env.DOCKER_IMAGE }} -# X_DOCKER_TAG: ${{ env.DOCKER_TAG }} -# -# X_LOG_LEVEL: INFO -# X_LOG_LEVEL_LIBS: INFO -# -# X_CELERY_BROKER_URL: redis://pollution-connector-redis:6379/1 -# X_CELERY_BACKEND_URL: redis://pollution-connector-redis:6379/2 -# X_CELERY_RESULT_EXPIRATION_SECONDS: "604800" -# -# X_POLLUTION_TASK_SCHEDULING_MINUTE: "*/10" -# X_POLLUTION_TASK_SCHEDULING_HOUR: "*" -# -# X_ODH_BASE_READER_URL: https://mobility.api.opendatahub.com -# X_ODH_BASE_WRITER_URL: https://mobility.share.opendatahub.com -# X_ODH_AUTHENTICATION_URL: https://auth.opendatahub.com/auth/ -# X_ODH_CLIENT_ID: odh-a22-dataprocessor -# X_ODH_CLIENT_SECRET: ${{ secrets.COMBINED_CLIENT_SECRET_PROD }} -# X_ODH_GRANT_TYPE: client_credentials -# X_ODH_PAGINATION_SIZE: 10000 -# X_ODH_MAX_POST_BATCH_SIZE: 10000 -# X_PROVENANCE_NAME: ${{ env.PROJECT_NAME }} -# X_PROVENANCE_VERSION: ${{ github.sha }} -# -# X_ODH_COMPUTATION_BATCH_SIZE: 7 -# X_COMPUTATION_CHECKPOINT_REDIS_HOST: pollution-connector-redis -# X_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 -# X_COMPUTATION_CHECKPOINT_REDIS_DB: 3 -# -# # use 2018 for first import, otherwise a more recent date -# # X_ODH_MINIMUM_STARTING_DATE : "2018-01-01" -# X_ODH_MINIMUM_STARTING_DATE : "2023-07-01 00:00:00+00:00" -# -# # Force python to not buffer stdout -# X_PYTHONUNBUFFERED: "true" -# -# - name: Build and push images -# uses: noi-techpark/github-actions/docker-build-and-push@v2 -# with: -# working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure -# docker-username: ${{ github.actor }} -# docker-password: ${{ secrets.GITHUB_TOKEN }} -# -# - name: Deploy application -# uses: noi-techpark/github-actions/docker-deploy@v2 -# with: -# working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure/ansible -# hosts: 'prod' -# ssh-private-key: ${{ secrets.SSH_PRIVATE_KEY }} -# docker-username: 'noi-techpark-bot' -# docker-password: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }} -# project-name: ${{ env.PROJECT_NAME }} diff --git a/pollution/.env.example b/pollution/.env.example deleted file mode 100644 index dacaaf35..00000000 --- a/pollution/.env.example +++ /dev/null @@ -1,19 +0,0 @@ -LOG_LEVEL=DEBUG -LOG_LEVEL_LIBS=DEBUG -CELERY_BROKER_URL=redis://pollution-connector-redis:6379/1 -CELERY_BACKEND_URL=redis://pollution-connector-redis:6379/2 -CELERY_RESULT_EXPIRATION_SECONDS="604800" -POLLUTION_TASK_SCHEDULING_MINUTE="0" -POLLUTION_TASK_SCHEDULING_HOUR="*" -ODH_BASE_READER_URL=https://mobility.api.opendatahub.testingmachine.eu -ODH_BASE_WRITER_URL=https://share.opendatahub.testingmachine.eu -ODH_AUTHENTICATION_URL=https://auth.opendatahub.testingmachine.eu/auth/ -ODH_USERNAME=USERNAME -ODH_PASSWORD=PASSWORD -ODH_CLIENT_ID=CLIENTID -ODH_CLIENT_SECRET=CLIENTSECRET -ODH_GRANT_TYPE=client_credentials -ODH_PAGINATION_SIZE=10000 -ODH_MAX_POST_BATCH_SIZE=10000 -PROVENANCE_NAME=u-hopper/cisma -PROVENANCE_VERSION=latest \ No newline at end of file diff --git a/pollution/.gitignore b/pollution/.gitignore deleted file mode 100644 index ae0c3881..00000000 --- a/pollution/.gitignore +++ /dev/null @@ -1,8 +0,0 @@ -/roles - -venv* -.venv -*.pyc -.idea -*.log -celerybeat-schedule.db diff --git a/pollution/.pre-commit-config.yaml b/pollution/.pre-commit-config.yaml deleted file mode 100644 index 64b295de..00000000 --- a/pollution/.pre-commit-config.yaml +++ /dev/null @@ -1,19 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: CC0-1.0 - -# See https://pre-commit.com for more information -# See https://pre-commit.com/hooks.html for more hooks -repos: -- repo: https://github.com/pre-commit/pre-commit-hooks - rev: v3.2.0 - hooks: - - id: trailing-whitespace - - id: end-of-file-fixer -- repo: https://github.com/PyCQA/flake8 - rev: 5.0.4 - hooks: - - id: flake8 - args: - - "--ignore=E501,W504,E241,F405,F403 " - - "src" diff --git a/pollution/CHANGELOG.md b/pollution/CHANGELOG.md deleted file mode 100644 index d2f89112..00000000 --- a/pollution/CHANGELOG.md +++ /dev/null @@ -1,39 +0,0 @@ - - -# Changelog - -[[_TOC_]] - -## Version 0.* - -### 0.1.2 - -:rocket: New features: -* Updated pollution computation model, fixed KM metadata management - -### 0.1.1 - -:rocket: New features: -* Updated pollution computation model, now the km data is loaded from station metadata -* Improved task execution time by: - * Added smarter logic for computing the starting date for a station batch - * Added computation checkpoints - -### 0.1.0 - -:rocket: New features: -* Added data model for traffic and pollution measure. -* Added celery worker and scheduler. -* Added a connector for ODH traffic data. -* Implemented the pollution computation task. -* Implemented the pollution computation model. -* Added a connector for ODH pollution data. - -:house: Internal: -* Added sentry integration. - -### diff --git a/pollution/README.md b/pollution/README.md deleted file mode 100644 index e78d2b4f..00000000 --- a/pollution/README.md +++ /dev/null @@ -1,191 +0,0 @@ - - -# Pollution connector - - -This project contain the code for the PollutionConnect for the OpenDataHub. - -The TrafficData is periodically pulled from the A22 collection and the pollution data is estimate and pushed back on the OpenDataHub. - -## Project Structure - -![project structure](/pollution/documentation/Architecture.png) - - -**Components**: - -- *Scheduler*: It schedules the periodic task to update the pollution data. -- *Pollution Computation Task*: This task handles the computation of a batch of measures. It downloads the traffic data from the OpenDataHub (Using the TrafficMeasure connector), computes the pollution measures (using the Pollution Computation Model) and it uploads the new measure to the ODH using the PollutionMeasure connector. -- *TrafficODHConnector*: This component downloads and parse the traffic data from the ODH. -- *PollutionODHConnector*: This component handles the upload and the download of the Pollution Measures from the ODH. -- *PollutionComputationModel*: This component computes new PollutionMeasure from the input TrafficMeasures. - -### Batch computation sequence - -![sequence diagram](/pollution/documentation/SequenceDiagram.png) - -1. First the scheduler starts the execution of a new `Pollution Computation Task`. -2. Then the task will first, download the list of available TrafficSensor stations. A GET request to the `/v2/flat,node/TrafficSensor` endpoint will be used. -3. For each station and lane it will download the latest pollution data available for each class of vehicle class it downloads the last stored measure. Using a GET to the following endpoint `/v2/{representation}/{stationTypes}/{dataTypes}/latest`. -4. Using the available data, the `Pollution Computation Task` identifies the new data to download for each lane station and vehicle class. -5. The `TrafficODHConnector` download the new batch of traffic data using the starting point identified in the previous step. Using a GET to the following endpoint `/v2/{representation}/{stationTypes}/{dataTypes}/{from}/{to}`. -6. The `PollutionComputationModel` computes the new PollutionMeasures and returns them to the main task. -7. Finally, the main task uploads the new PollutionMeasures to the ODH using the *PollutionODHConnector*. - -## How to use it - -### Setup The project - -1. Clone the repository -2. Create a virtual environment and activate it: - -```commandline -python3 -m venv venv -source .venv/bin/activate -``` - -3. Installing the requirements: -```commandline -pip install -r requirements.txt -``` - -4. For a development environment is suggested to install and configure [pre-commit](https://pre-commit.com/). Pre-commit is a framework for managing and maintaining multi-language pre-commit hooks. The configuration available in this project will run some syntax check before each commit. - -```commandline -pip install pre-commit -pre-commit install -``` - -### Run in production mode - -First setup the project and then - -1. Start a local instance of redis and then export the required environmental variables: -```commandline -export CELERY_BACKEND_URL=redis://:/ -export CELERY_BROKER_URL=redis://:/ -``` - -2. Run the celery worker: -```commandline -celery -A pollution_connector.celery_configuration.celery_app worker --loglevel=INFO -``` - -3. Run the celery beat scheduler: -```commandline -celery -A pollution_connector.celery_configuration.celery_app beat --loglevel=INFO -``` - -### Run a single task - -For a development environment or a one-off run of the pollution computation is possible to execute a single run of the pollution computation. - -First setup the project and then run the following: - -```commandline -cd src -python -m pollution_connector.main -``` - -For the available configurations type: -```commandline -cd src -python -m pollution_connector.main -h -``` - -### Run historical import - -To run a historical import, like we need to do for the Open Data Hub, some additional actions are needed. -Typically you will deploy the application with Github Actions and that sets up the normal environment with the scheduler etc. -So when the application is deployed you quickly need to stop all docker containers before they write data to the Open Data Hub. -```sh -docker-compose down -``` -If data ahs already been written, please delete it manually from the database, to make sure that all historical data can be imported correctly. - -You also need to delete all created volumes, to make sure that it starts from the historical date and not from the last timestamp saved in the celery database. -``` -docker volume rm odh-mobility-el-pollution_pollution-connector-redis odh-mobility-el-pollution_pollution-connector-scheduler -``` - -Now start redis and the worker job -``` -docker-compose up -d redis -docker-compose run -d --rm worker python -m pollution_connector.main -``` - -Then you can see the logs with -``` -docker logs -f --tail 500 odh-mobility-el-pollution_worker_run_1 -``` - -The historical import can take between 12 hours to several days, depending in the server cpu/ram and data amount. -When the historical import is done, you can stop everything and start the normal scheduler -``` -docker-compose down -docker-compose up -d -``` - -### List of environmental variables - -| Name | Required | Description | Default | -|-----------------------------------|----------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------| -| CELERY_BROKER_URL | Yes | The url of the celery broker. | - | -| CELERY_BACKEND_URL | Yes | The url of the celery result backend. | - | -| CELERY_RESULT_EXPIRATION_SECONDS | Yes | The expiration time (in seconds) of the celery results. | 604800 (one week) | -| POLLUTION_TASK_SCHEDULING_MINUTE | No | The minutes on which the pollution computation task is schedule. See below for further details. | */10 (runs every ten minutes) | -| POLLUTION_TASK_SCHEDULING_HOUR | No | The hours on which the pollution computation task is schedule. See below for further details. | * | -| SENTRY_DSN | No | The data source name for sentry, if not set the project will not create any event. | - | -| SENTRY_RELEASE | No | If set, sentry will associate the events to the given release. | - | -| SENTRY_ENVIRONMENT | No | If set, sentry will associate the events to the given environment (ex. `production`, `staging`). | - | -| SENTRY_SAMPLE_RATE | No | The sample rate for the transactions that will be logged in sentry (1.0=all, 0.0=none). Default to `1.0`. | - | -| LOG_LEVEL | No | The logging level of the project. | INFO | -| LOG_LEVEL_LIBS | No | The logging level of the libraries. | DEBUG | -| LOG_TO_FILE | No | Log to file if this variable is present. | - | -| LOGS_DIR | No | The directory where to store the log file. | "" (empty string) | -| ODH_BASE_READER_URL | Yes | The base url for the ODH requests for reading data. | - | -| ODH_BASE_WRITER_URL | Yes | The base url for the ODH requests for writing data. | - | -| ODH_AUTHENTICATION_URL | Yes | The url for ODH authentication endpoints. | - | -| ODH_USERNAME | Yes | The username for the ODH authentication. | - | -| ODH_PASSWORD | Yes | The password for the ODH authentication. | - | -| ODH_CLIENT_ID | Yes | The client ID for the ODH authentication. | - | -| ODH_CLIENT_SECRET | Yes | The client secret for the ODH authentication. | - | -| ODH_GRANT_TYPE | Yes | The token grant type for the ODH authentication. It is possible to specify more types by separating them using `;`. | "password" | -| ODH_PAGINATION_SIZE | No | The pagination size for the get requests to ODH. Set it to `-1` to disable it. | 200 | -| ODH_MAX_POST_BATCH_SIZE | No | The maximum size of the batch for each post request to ODH. If not present there is not a maximum batch size and all data will sent in a single call. | - | -| ODH_COMPUTATION_BATCH_SIZE | No | The maximum size (in days) of a batch to compute | 30 | -| ODH_MINIMUM_STARTING_DATE | No | The minimum starting date[time] in isoformat (up to one second level of precision, milliseconds for the from date field are not supported in ODH) for downloading data from ODH if no pollution measures are available. | 2018-01-01 | -| DEFAULT_TIMEZONE | No | The default timezone for parsing datetimes if no one is present. | Europe/Rome | -| REQUESTS_TIMEOUT | No | The timeout for the requests (expressed in seconds). | 300 | -| REQUESTS_MAX_RETRIES | No | The maximum number of retries for the requests. | 1 | -| REQUESTS_SLEEP_TIME | No | The sleep time between the requests when getting paginated data (expressed in seconds). | 0 | -| REQUESTS_RETRY_SLEEP_TIME | No | The sleep time between retries for the requests (expressed in seconds). | 30 | -| PROVENANCE_ID | No | The id of the provenance. | - | -| PROVENANCE_LINEAGE | No | The lineage of the provenance. | u-hopper | -| PROVENANCE_NAME | No | The name of the data collector of the provenance. | a22-pollutant-elaboration | -| PROVENANCE_VERSION | No | The version of the data collector of the provenance. | 0.1.0 | -| COMPUTATION_CHECKPOINT_REDIS_HOST | No | The redis host for the computation checkpoints. Set to enable the computation checkpoints | -| COMPUTATION_CHECKPOINT_REDIS_PORT | No | The port for the redis server for the computation checkpoints | 6379 | -| COMPUTATION_CHECKPOINT_REDIS_DB | No | The DB number of the checkpoint redis server | 0 | - -* *POLLUTION_TASK_SCHEDULING_MINUTE*: This variable represents the minutes on which the pollution computation task is scheduled. It uses the crontab syntax so the following are valid: - * `*` runs every minute; - * `2` runs on the second minute; - * `*/10` runs every 10 minutes. - -* *POLLUTION_TASK_SCHEDULING_HOUR*: This variable represents the hour on which the pollution computation task is scheduled. It uses the crontab syntax so the following are valid: - * `*` runs every hour; - * `3` runs at 3 AM; - * `*/2` runs every 2 hours. - -#### Computation checkpoint -By setting the *COMPUTATION_CHECKPOINT_REDIS_HOST* variable to a valid Redis server, the computation checkpoints will be enabled. - -The computation checkpoint store the final date of the last computed interval of data for a station. The checkpoint is used -as a starting date for the next computation if the station has no pollution data associated. -This feature has been implemented to avoid attempting a recalculation, at each execution of the task, of all -the historical data of the stations that have only invalid data for this library diff --git a/pollution/docker-compose.yml b/pollution/docker-compose.yml deleted file mode 100644 index b4dd20ea..00000000 --- a/pollution/docker-compose.yml +++ /dev/null @@ -1,57 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: CC0-1.0 - -version: "3.4" - -services: - worker: - depends_on: - - redis - container_name: "pollution-connector" - build: - context: . - dockerfile: infrastructure/docker/Dockerfile - restart: unless-stopped - command: celery -A pollution_connector.celery_configuration.celery_app worker --loglevel=INFO - env_file: - - .env - networks: - - pollution - - scheduler: - depends_on: - - worker - container_name: "pollution-connector-scheduler" - build: - context: . - dockerfile: infrastructure/docker/Dockerfile - restart: unless-stopped - command: celery -A pollution_connector.celery_configuration.celery_app beat --loglevel=INFO - env_file: - - .env - volumes: - - pollution-connector-scheduler:/scheduler/ - networks: - - pollution - - redis: - image: redis:6.2 - container_name: "pollution-connector-redis" - hostname: pollution-connector-redis - restart: unless-stopped - networks: - - pollution - volumes: - - pollution-connector-redis:/data - - -networks: - pollution: - # external: true - -volumes: - pollution-connector-scheduler: - # external: true - pollution-connector-redis: - # external: true \ No newline at end of file diff --git a/pollution/documentation/Architecture.png b/pollution/documentation/Architecture.png deleted file mode 100644 index 235b675def7ecbdb0dba5bb51c6d90b98577d0a1..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 29738 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b/pollution/infrastructure/ansible/ansible.cfg deleted file mode 100644 index bec5ce05..00000000 --- a/pollution/infrastructure/ansible/ansible.cfg +++ /dev/null @@ -1,4 +0,0 @@ -[defaults] -inventory = ./hosts -roles_path = ./roles -retry_files_enabled = False diff --git a/pollution/infrastructure/ansible/deploy.yml b/pollution/infrastructure/ansible/deploy.yml deleted file mode 100644 index c01d4feb..00000000 --- a/pollution/infrastructure/ansible/deploy.yml +++ /dev/null @@ -1,19 +0,0 @@ ---- -- hosts: all - vars: - ansible_python_interpreter: /usr/bin/python3 - tasks: - - name: Login to GitHub Container Registry - ansible.builtin.shell: - cmd: echo "{{ docker_password }}" | docker login "{{ docker_host }}" --username "{{ docker_username }}" --password-stdin - - name: Execute Docker deployment - ansible.builtin.include_role: - name: ansible-docker-deployment - vars: - docker_deployment_project_name: '{{ project_name }}' - docker_deployment_release_name: '{{ release_name }}' - docker_deployment_release_files: - - local: ../docker-compose.run.yml - remote: docker-compose.yml - - local: ../../.env - remote: .env diff --git a/pollution/infrastructure/ansible/hosts b/pollution/infrastructure/ansible/hosts deleted file mode 100644 index 99f4a5d6..00000000 --- a/pollution/infrastructure/ansible/hosts +++ /dev/null @@ -1,6 +0,0 @@ -[test] -docker03.testingmachine.eu ansible_user='noi-techpark-bot' ansible_ssh_common_args='-o StrictHostKeyChecking=no' - -[prod] -docker05.opendatahub.com ansible_user='noi-techpark-bot' ansible_ssh_common_args='-o StrictHostKeyChecking=no' - \ No newline at end of file diff --git a/pollution/infrastructure/ansible/requirements.yml b/pollution/infrastructure/ansible/requirements.yml deleted file mode 100644 index cb9e81bb..00000000 --- a/pollution/infrastructure/ansible/requirements.yml +++ /dev/null @@ -1,2 +0,0 @@ -- src: git+https://github.com/noi-techpark/ansible-docker-deployment.git - version: "2.0" diff --git a/pollution/infrastructure/ansible/roles/.gitignore b/pollution/infrastructure/ansible/roles/.gitignore deleted file mode 100644 index d6b7ef32..00000000 --- a/pollution/infrastructure/ansible/roles/.gitignore +++ /dev/null @@ -1,2 +0,0 @@ -* -!.gitignore diff --git a/pollution/infrastructure/docker-compose.build.yml b/pollution/infrastructure/docker-compose.build.yml deleted file mode 100644 index 93d36f02..00000000 --- a/pollution/infrastructure/docker-compose.build.yml +++ /dev/null @@ -1,8 +0,0 @@ -version: "3.4" - -services: - app: - image: ${DOCKER_IMAGE}:${DOCKER_TAG} - build: - context: ../ - dockerfile: infrastructure/docker/Dockerfile diff --git a/pollution/infrastructure/docker-compose.run.yml b/pollution/infrastructure/docker-compose.run.yml deleted file mode 100644 index 9a434502..00000000 --- a/pollution/infrastructure/docker-compose.run.yml +++ /dev/null @@ -1,43 +0,0 @@ -version: "3.4" - - -services: - worker: - container_name: "pollution-connector" - image: ${DOCKER_IMAGE}:${DOCKER_TAG} - restart: unless-stopped - command: celery -A pollution_connector.celery_configuration.celery_app worker --loglevel=INFO - env_file: - - .env - networks: - - pollution - - scheduler: - container_name: "pollution-connector-scheduler" - image: ${DOCKER_IMAGE}:${DOCKER_TAG} - restart: unless-stopped - command: celery -A pollution_connector.celery_configuration.celery_app beat --loglevel=INFO - env_file: - - .env - volumes: - - pollution-connector-scheduler:/scheduler/ - networks: - - pollution - - redis: - image: redis:6.2.6 - container_name: "pollution-connector-redis" - hostname: pollution-connector-redis - restart: unless-stopped - networks: - - pollution - volumes: - - pollution-connector-redis:/data - - -networks: - pollution: - -volumes: - pollution-connector-scheduler: - pollution-connector-redis: \ No newline at end of file diff --git a/pollution/infrastructure/docker/Dockerfile b/pollution/infrastructure/docker/Dockerfile deleted file mode 100644 index 2d37971a..00000000 --- a/pollution/infrastructure/docker/Dockerfile +++ /dev/null @@ -1,13 +0,0 @@ -FROM python:3.12-slim-bullseye - - -COPY requirements.txt ./ -COPY src/ ./ - -# USER python - -RUN pip install --no-cache-dir -r requirements.txt - -# # configure the container to run in an executed manner -# ENTRYPOINT [ "python" ] -# CMD ["main.py" ] diff --git a/pollution/requirements.txt b/pollution/requirements.txt deleted file mode 100644 index 476f3224..00000000 --- a/pollution/requirements.txt +++ /dev/null @@ -1,11 +0,0 @@ -celery==5.3.6 -redis==4.3.4 -sentry-sdk==1.9.9 -blinker==1.5 -python-keycloak==2.5.0 -requests~=2.28 -dateutils==0.6.12 -python-dateutil==2.8.2 -pandas==2.2.0 -numpy==1.26.0 -pytz==2022.6 diff --git a/pollution/src/pollution_connector/__init__.py b/pollution/src/pollution_connector/__init__.py deleted file mode 100644 index a1097782..00000000 --- a/pollution/src/pollution_connector/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution/src/pollution_connector/cache/__init__.py b/pollution/src/pollution_connector/cache/__init__.py deleted file mode 100644 index a1097782..00000000 --- a/pollution/src/pollution_connector/cache/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution/src/pollution_connector/cache/common.py b/pollution/src/pollution_connector/cache/common.py deleted file mode 100644 index 2d47ecbd..00000000 --- a/pollution/src/pollution_connector/cache/common.py +++ /dev/null @@ -1,69 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -import json -import logging -from abc import ABC, abstractmethod -from json import JSONDecodeError -from typing import Optional, TypeVar, Generic, Type - -import redis - -logger = logging.getLogger("pollution_connector.cache.redis_cache") - - -class CacheData(ABC): - - @abstractmethod - def to_repr(self) -> dict: - pass - - @staticmethod - @abstractmethod - def from_repr(raw_data: dict) -> CacheData: - pass - - @abstractmethod - def unique_id(self) -> str: - pass - - -CacheDataType = TypeVar("CacheDataType", bound=CacheData) - - -class RedisCache(Generic[CacheDataType], ABC): - - def __init__(self, r: redis.Redis, cache_data_type: Type[CacheDataType]) -> None: - self._cache_data_type = cache_data_type - self._r = r - - def get(self, key: str) -> Optional[CacheDataType]: - logger.info(f"Getting cached data for key [{key}]") - result = self._r.get(key) - if result is not None: - try: - result = self._cache_data_type.from_repr(json.loads(result)) - except JSONDecodeError as e: - logger.exception(f"Could not parse cached data for key [{key}]", exc_info=e) - raise e - else: - logger.debug(f"No data for key [{key}]") - - return result - - def set(self, data: CacheDataType, ttl: Optional[int] = None) -> None: - """ - Cache the data in dict format inside the redis db. - - :param data: the data to cache - :param key: the key to save the data - :param ttl: the time to live of the data entry (expressed in seconds) - """ - logger.info(f"Caching data for key [{data.unique_id()}] and ttl [{ttl}].") - if ttl: - self._r.set(data.unique_id(), json.dumps(data.to_repr()), ex=ttl) - else: - self._r.set(data.unique_id(), json.dumps(data.to_repr())) diff --git a/pollution/src/pollution_connector/cache/computation_checkpoint.py b/pollution/src/pollution_connector/cache/computation_checkpoint.py deleted file mode 100644 index 2c2848bc..00000000 --- a/pollution/src/pollution_connector/cache/computation_checkpoint.py +++ /dev/null @@ -1,53 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -from dataclasses import dataclass -from datetime import datetime -from typing import Union - -import redis - -from pollution_connector.cache.common import CacheData, RedisCache -from pollution_connector.data_model.common import Station - - -@dataclass -class ComputationCheckpoint(CacheData): - - station_code: str - checkpoint_dt: datetime - - @staticmethod - def get_id_for_station(station: Union[Station, str]) -> str: - base_key = "ComputationCheckpoint" - if isinstance(station, str): - return f"{base_key}-{station}" - elif isinstance(station, Station): - return f"{base_key}-{station.code}" - else: - raise TypeError(f"Unable to handle an object of type [{type(station)}]") - - def unique_id(self) -> str: - return self.get_id_for_station(self.station_code) - - def to_repr(self) -> dict: - return { - "stationCode": self.station_code, - "checkpointDT": self.checkpoint_dt.isoformat() - } - - @staticmethod - def from_repr(raw_data: dict) -> CacheData: - return ComputationCheckpoint( - station_code=raw_data["stationCode"], - checkpoint_dt=datetime.fromisoformat(raw_data["checkpointDT"]) - ) - - -class ComputationCheckpointCache(RedisCache[ComputationCheckpoint]): - - def __init__(self, r: redis.Redis) -> None: - super().__init__(r, ComputationCheckpoint) diff --git a/pollution/src/pollution_connector/celery_configuration/__init__.py b/pollution/src/pollution_connector/celery_configuration/__init__.py deleted file mode 100644 index a1097782..00000000 --- a/pollution/src/pollution_connector/celery_configuration/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution/src/pollution_connector/celery_configuration/celery_app.py b/pollution/src/pollution_connector/celery_configuration/celery_app.py deleted file mode 100644 index c4e69d07..00000000 --- a/pollution/src/pollution_connector/celery_configuration/celery_app.py +++ /dev/null @@ -1,40 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -import logging.config - -import sentry_sdk -from celery import Celery -from sentry_sdk.integrations.celery import CeleryIntegration - -from pollution_connector.common.logging import get_logging_configuration -from pollution_connector.settings import CELERY_BROKER_URL, CELERY_BACKEND_URL, CELERY_RESULT_EXPIRATION_SECONDS - -sentry_sdk.init( - traces_sample_rate=1.0, - integrations=[CeleryIntegration()] -) - -logging.config.dictConfig(get_logging_configuration("pollution_connector")) -logger = logging.getLogger("pollution_connector") - -app = Celery('proj', - broker=CELERY_BROKER_URL, - backend=CELERY_BACKEND_URL, - include=["pollution_connector.celery_configuration.periodic_tasks", "pollution_connector.tasks.pollution_computation"] - ) - -app.conf.update( - result_expires=CELERY_RESULT_EXPIRATION_SECONDS, - task_serializer='json', - accept_content=['json'], # Ignore other content - result_serializer='json', - timezone='Europe/Oslo', - enable_utc=True, -) - -if __name__ == '__main__': - app.start() diff --git a/pollution/src/pollution_connector/celery_configuration/periodic_tasks.py b/pollution/src/pollution_connector/celery_configuration/periodic_tasks.py deleted file mode 100644 index ccbb140f..00000000 --- a/pollution/src/pollution_connector/celery_configuration/periodic_tasks.py +++ /dev/null @@ -1,29 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -import logging - -from celery.schedules import crontab - -from pollution_connector.celery_configuration.celery_app import app -from pollution_connector.settings import POLLUTION_TASK_SCHEDULING_MINUTE, POLLUTION_TASK_SCHEDULING_HOUR -from pollution_connector.tasks.pollution_computation import compute_pollution_data - - -logger = logging.getLogger("pollution_connector.celery_configuration.periodic_tasks") - - -@app.on_after_finalize.connect -def setup_periodic_tasks(sender, **kwargs): - logger.info("Setup periodic tasks") - sender.add_periodic_task( - crontab( - minute=POLLUTION_TASK_SCHEDULING_MINUTE, - hour=POLLUTION_TASK_SCHEDULING_HOUR - ), - compute_pollution_data.s(), - name='compute pollution data every 10' - ) diff --git a/pollution/src/pollution_connector/common/__init__.py b/pollution/src/pollution_connector/common/__init__.py deleted file mode 100644 index a1097782..00000000 --- a/pollution/src/pollution_connector/common/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution/src/pollution_connector/common/logging.py b/pollution/src/pollution_connector/common/logging.py deleted file mode 100644 index 3a806b8e..00000000 --- a/pollution/src/pollution_connector/common/logging.py +++ /dev/null @@ -1,72 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -import os - -from pollution_connector.settings import LOGS_DIR, LOG_LEVEL, LOG_LEVEL_LIBS - -log_level = LOG_LEVEL -log_level_libraries = LOG_LEVEL_LIBS - -log_handlers = ["console"] -if "LOG_TO_FILE" in os.environ: - log_handlers.append("file") - - -def get_logging_configuration(service_name: str): - """ - Get the logging configuration to be associated to a particular service. - - :param service_name: The name of the service (e.g. ws, backend, rule-engine, ..) - :return: The logging configuration - """ - file_name = f"{service_name}.log" - - log_config = { - "version": 1, - "formatters": { - "simple": { - "format": "%(asctime)s - %(name)s - %(levelname)s - %(message)s", - "datefmt": "" - } - }, - "handlers": { - "console": { - "class": "logging.StreamHandler", - "formatter": "simple", - "level": "DEBUG", - "stream": "ext://sys.stdout", - }, - "file": { - "class": "logging.handlers.RotatingFileHandler", - "formatter": "simple", - "filename": os.path.join(LOGS_DIR, file_name), - "maxBytes": 10485760, - "backupCount": 3 - } - }, - "root": { - "level": log_level, - "handlers": log_handlers, - }, - "loggers": { - "werkzeug": { - "level": log_level_libraries, - "handlers": log_handlers, - "propagate": 0 - }, - "uhopper": { - "level": log_level, - "handlers": log_handlers, - "propagate": 0 - }, - "pollution_connector": { - "level": log_level, - "handlers": log_handlers, - "propagate": 0 - }, - } - } - - return log_config diff --git a/pollution/src/pollution_connector/connector/__init__.py b/pollution/src/pollution_connector/connector/__init__.py deleted file mode 100644 index a1097782..00000000 --- a/pollution/src/pollution_connector/connector/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution/src/pollution_connector/connector/collector.py b/pollution/src/pollution_connector/connector/collector.py deleted file mode 100644 index 286106fc..00000000 --- a/pollution/src/pollution_connector/connector/collector.py +++ /dev/null @@ -1,70 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -from pollution_connector.connector.pollution import PollutionODHConnector -from pollution_connector.connector.traffic import TrafficODHConnector -from pollution_connector.settings import ODH_AUTHENTICATION_URL, ODH_USERNAME, ODH_PASSWORD, ODH_CLIENT_ID, \ - ODH_CLIENT_SECRET, ODH_PAGINATION_SIZE, REQUESTS_TIMEOUT, REQUESTS_MAX_RETRIES, REQUESTS_SLEEP_TIME, \ - REQUESTS_RETRY_SLEEP_TIME, ODH_BASE_READER_URL, ODH_BASE_WRITER_URL, ODH_GRANT_TYPE, ODH_MAX_POST_BATCH_SIZE - - -class ConnectorCollector: - - def __init__(self, traffic: TrafficODHConnector, pollution: PollutionODHConnector): - self.traffic = traffic - self.pollution = pollution - - @staticmethod - def build_from_env() -> ConnectorCollector: - base_reader_url = ODH_BASE_READER_URL - base_writer_url = ODH_BASE_WRITER_URL - authentication_url = ODH_AUTHENTICATION_URL - user_name = ODH_USERNAME - password = ODH_PASSWORD - client_id = ODH_CLIENT_ID - client_secret = ODH_CLIENT_SECRET - grant_type = ODH_GRANT_TYPE - pagination_size = ODH_PAGINATION_SIZE - max_post_batch_size = ODH_MAX_POST_BATCH_SIZE - requests_timeout = REQUESTS_TIMEOUT - requests_max_retries = REQUESTS_MAX_RETRIES - requests_sleep_time = REQUESTS_SLEEP_TIME - requests_retry_sleep_time = REQUESTS_RETRY_SLEEP_TIME - - return ConnectorCollector( - traffic=TrafficODHConnector( - base_reader_url=base_reader_url, - base_writer_url=base_writer_url, - authentication_url=authentication_url, - username=user_name, - password=password, - client_id=client_id, - client_secret=client_secret, - grant_type=grant_type, - pagination_size=pagination_size, - max_post_batch_size=max_post_batch_size, - requests_timeout=requests_timeout, - requests_max_retries=requests_max_retries, - requests_sleep_time=requests_sleep_time, - requests_retry_sleep_time=requests_retry_sleep_time - ), - pollution=PollutionODHConnector( - base_reader_url=base_reader_url, - base_writer_url=base_writer_url, - authentication_url=authentication_url, - username=user_name, - password=password, - client_id=client_id, - client_secret=client_secret, - grant_type=grant_type, - pagination_size=pagination_size, - max_post_batch_size=max_post_batch_size, - requests_timeout=requests_timeout, - requests_max_retries=requests_max_retries, - requests_sleep_time=requests_sleep_time, - requests_retry_sleep_time=requests_retry_sleep_time - ) - ) diff --git a/pollution/src/pollution_connector/connector/common.py b/pollution/src/pollution_connector/connector/common.py deleted file mode 100644 index 01909349..00000000 --- a/pollution/src/pollution_connector/connector/common.py +++ /dev/null @@ -1,522 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -import logging -import time -from abc import ABC, abstractmethod -from dataclasses import dataclass -from datetime import datetime, timedelta -from typing import Optional, Generic, List - -import requests -from keycloak import KeycloakOpenID - -from pollution_connector.data_model.common import MeasureType, StationType, Station, Provenance, DataType - -logger = logging.getLogger("pollution_connector.connector.common") - - -@dataclass -class Token: - access_token: str - expires_in: int - refresh_expires_in: int - refresh_token: Optional[str] - token_type: str - not_before_policy: str - session_state: Optional[str] - scope: List[str] - created_at: datetime - - def to_repr(self) -> dict: - return { - "access_token": self.access_token, - "expires_in": self.expires_in, - "refresh_expires_in": self.refresh_expires_in, - "refresh_token": self.refresh_token, - "token_type": self.token_type, - "not-before-policy": self.not_before_policy, - "session_state": self.session_state, - "scope": " ".join(self.scope), - "created_at": datetime.now().isoformat() - } - - @staticmethod - def from_repr(raw_data: dict) -> Token: - return Token( - access_token=raw_data["access_token"], - expires_in=raw_data["expires_in"], - refresh_expires_in=raw_data["refresh_expires_in"], - refresh_token=raw_data.get("refresh_token"), - token_type=raw_data["token_type"], - not_before_policy=raw_data["not-before-policy"], - session_state=raw_data.get("session_state"), - scope=raw_data["scope"].split(" "), - created_at=datetime.fromisoformat(raw_data["created_at"]) if raw_data.get("created_at") else datetime.now() - ) - - @property - def is_expired(self) -> bool: - """ - Check if the access token is expired. - """ - return (self.created_at + timedelta(seconds=self.expires_in)) < datetime.now() - - @property - def is_refresh_toke_expired(self) -> bool: - """ - Check if the refresh token is expired. - """ - return (self.created_at + timedelta(seconds=self.refresh_expires_in)) < datetime.now() - - -class MaximumRetryExceeded(Exception): - - def __init__(self) -> None: - super().__init__("Exceeded the maximum number of retry retries for the request.") - - -class ApiException(Exception): - - def __init__(self, message: str, code: int) -> None: - super().__init__(f"Error in performing the request, server respond with [{code}], message: [{message}]") - self.code = code - self.message = message - - -class ODHBaseConnector(ABC, Generic[MeasureType, StationType]): - - def __init__(self, - base_reader_url: str, - base_writer_url: str, - station_type: str, - measure_types: List[str], - authentication_url: str, - username: Optional[str], - password: Optional[str], - client_id: Optional[str], - client_secret: Optional[str], - grant_type: List[str], - pagination_size: int, - max_post_batch_size: Optional[int], - requests_timeout: float, - requests_max_retries: int, - requests_sleep_time: float, - requests_retry_sleep_time: float): - - self._authentication_url = authentication_url - self._base_reader_url = base_reader_url - self._base_writer_url = base_writer_url - self._station_type = station_type - self._measure_types = measure_types - self._username = username - self._password = password - self._client_id = client_id - self._client_secret = client_secret - self._grant_type = grant_type - self._pagination_size = pagination_size - self._max_batch_size = max_post_batch_size - self._requests_timeout = requests_timeout - self._requests_max_retries = requests_max_retries - self._requests_sleep_time = requests_sleep_time - self._requests_retry_sleep_time = requests_retry_sleep_time - - self._keycloak_openid = KeycloakOpenID(server_url=self._authentication_url, - client_id=self._client_id, - realm_name="noi", - client_secret_key=self._client_secret) - - self._token: Optional[Token] = None - - def _refresh_token(self) -> None: - """ - Refresh current token or request a new one. - """ - if not self._token or self._token.is_refresh_toke_expired: - logger.info("Requesting new token") - self._token = Token.from_repr( - self._keycloak_openid.token(username=self._username, password=self._password, grant_type=self._grant_type) - ) - elif self._token.refresh_token: - logger.info("Refresh current access token") - self._token = Token.from_repr( - self._keycloak_openid.refresh_token(self._token.refresh_token) - ) - - def _get_token(self) -> Token: - """ - Retrieve the access token or request a new one if needed. - """ - if self._token is None or self._token.is_expired: - self._refresh_token() - return self._token - - @staticmethod - def _get_authentication_header(token: Token) -> dict: - """ - Get the authentication header to be used in the requests. - """ - return { - "Content-Type": "application/json", - "Authorization": f"bearer {token.access_token}" - } - - def _get_request(self, path: str, query_params: Optional[dict] = None) -> dict or list: - """ - Perform a get request to the ODH. - - :param path: - :param query_params: - :return: A dictionary witch contains the decoded JSON body of the response - :raise: JSONDecodeError if the body is not JSON encoded - :raise: APIException if the server responds with a code different from 200 - :raise: MaximumRetryExceeded if the maximum re-tries are exceeded - """ - token = self._get_token() - - if not query_params: - query_params = {} - - call_counter = 0 - while call_counter <= self._requests_max_retries: - call_counter += 1 - try: - response = requests.get( - f"{self._base_reader_url}{path}", - headers=self._get_authentication_header(token), - params=query_params, - timeout=self._requests_timeout - ) - if response.status_code == 200: - return response.json() - else: - raise ApiException(message=response.content.decode("utf-8"), code=response.status_code) - except ApiException as e: - raise e - except Exception as e: - logger.exception("Exception in getting data from ODH", exc_info=e) - if call_counter <= self._requests_max_retries: - time.sleep(self._requests_retry_sleep_time) - - raise MaximumRetryExceeded() - - def _get_result_page(self, path: str, limit: int, offset: int, query_params: Optional[dict] = None) -> (list, int, int): - """ - Request a result page from a paginated endpoint. - - :param path: - :param limit: - :param offset: - :param query_params: Any additional query param - :return: A tuple with the following structure (result list, current limit, current offset) - """ - if not query_params: - query_params = {} - query_params.update({ - "limit": limit, - "offset": offset - }) - - raw_data = self._get_request(path, query_params) - - if not isinstance(raw_data, dict): - raise ValueError("Unable to handle the server response") - - try: - return raw_data["data"], raw_data["limit"], raw_data["offset"] - except KeyError as e: - raise ValueError(f"Unable to build a result page from server response: {e}") - - def _get_result_list(self, path: str, query_params: Optional[dict] = None) -> List[dict]: - """ - Request the result list from an endpoint. - - :param path: - :param query_params: Any additional query param - :return: The result list - """ - limit = self._pagination_size - offset = 0 - completed = False - - results: List[dict] = [] - - while not completed: - if limit == -1: - logger.debug("Retrieving all elements") - else: - logger.debug(f"Retrieving page [{offset} - {offset+limit}]") - - new_results, limit, offset = self._get_result_page(path, limit=limit, offset=offset, query_params=query_params) - - results.extend(new_results) - if limit == -1: - completed = True - else: - if len(new_results) == limit: - offset += limit - time.sleep(self._requests_sleep_time) - else: - completed = True - - return results - - @staticmethod - @abstractmethod - def build_station(raw_station: dict) -> StationType: - """ - Build a station from ODH representation. - - :param raw_station: A dictionary which contains the ODH json representation of a station - :return: - """ - raise NotImplementedError - - @staticmethod - @abstractmethod - def build_measure(raw_measure: dict) -> MeasureType: - """ - Build a measure from ODH representation. - - :param raw_measure: A dictionary which contains the ODH json representation of a measure - :return: - """ - raise NotImplementedError - - def get_station_list(self) -> list[StationType]: - """ - Retrieve the list of all the available stations. - """ - logger.info(f"Retrieving station list for type [{self._station_type}]") - raw_stations = self._get_result_list(f"/v2/flat,node/{self._station_type}") - - logger.info(f"Retrieved [{len(raw_stations)}] stations") - return [self.build_station(raw_station) for raw_station in raw_stations] - - def get_latest_measures(self, station: Optional[Station or str] = None) -> List[MeasureType]: - """ - Retrieve the last measure for the connector DataType. - - :param station: If set, it is possible to retrieve only the measures for the given station. It can be a string - representing the station code or a Station object. - :return: The list of measures - """ - query_params = {} - - if station: - if isinstance(station, str): - code = station - elif isinstance(station, Station): - code = station.code - else: - raise TypeError(f"Unable to handle a parameter of type [{type(station)}] as station") - query_params["where"] = f'scode.eq."{code}"' - logger.info(f"Retrieving latest measures for station [{code}]") - else: - logger.info("Retrieving latest measures for all stations") - - raw_measures = self._get_result_list( - path=f"/v2/flat,node/{self._station_type}/{','.join(self._measure_types)}/latest", - query_params=query_params - ) - - return [self.build_measure(raw_measure) for raw_measure in raw_measures] - - def get_measures(self, from_date: datetime, to_date: datetime, station: Optional[Station or str] = None) -> List[MeasureType]: - """ - Retrieve the measures for the connector DataType in the given interval. - - :param from_date: The starting date of the interval - :param to_date: The end date of the interval - :param station: If set, it is possible to retrieve only the measures for the given station. It can be a string - representing the station code or a Station object. - :return: the list of Measures - """ - - query_params = {} - - iso_from_date = from_date.isoformat(timespec="milliseconds") - iso_to_date = to_date.isoformat(timespec="milliseconds") - - if station: - if isinstance(station, str): - code = station - elif isinstance(station, Station): - code = station.code - else: - raise TypeError(f"Unable to handle a parameter of type [{type(station)}] as station") - query_params["where"] = f'scode.eq."{code}"' - logger.info(f"Retrieving measures from date [{iso_from_date}] to date [{iso_to_date}] for station [{code}]") - else: - logger.info(f"Retrieving measures from date [{iso_from_date}] to date [{iso_to_date}] for all stations") - - raw_measures = self._get_result_list( - path=f"/v2/flat,node/{self._station_type}/{','.join(self._measure_types)}/{iso_from_date}/{iso_to_date}", - query_params=query_params - ) - - return [self.build_measure(raw_measure) for raw_measure in raw_measures] - - def _post_request(self, path: str, raw_data: dict or list, query_params: Optional[dict] = None) -> str or dict or list: - """ - Perform a post request to the ODH. - - :param path: - :param query_params: - :return: A dictionary witch contains the decoded JSON body of the response - :raise: JSONDecodeError if the body is not JSON encoded - :raise: APIException if the server responds with a code different from 201 - :raise: MaximumRetryExceeded if the maximum re-tries are exceeded - """ - token = self._get_token() - - if not query_params: - query_params = {} - - call_counter = 0 - while call_counter <= self._requests_max_retries: - call_counter += 1 - try: - response = requests.post( - f"{self._base_writer_url}{path}", - json=raw_data, - headers=self._get_authentication_header(token), - params=query_params, - timeout=self._requests_timeout - ) - if response.status_code in [200, 201]: - try: # ODH seems that id not returning a json for post requests but a string - return response.json() - except requests.exceptions.JSONDecodeError: - return response.text - else: - raise ApiException(message=response.content.decode("utf-8"), code=response.status_code) - except ApiException as e: - raise e - except Exception as e: - logger.exception("Exception in getting data from ODH", exc_info=e) - if call_counter <= self._requests_max_retries: - time.sleep(self._requests_retry_sleep_time) - - raise MaximumRetryExceeded() - - def post_provenance(self, provenance: Provenance) -> str: - """ - Create a provenance (if it is already present it will not be duplicated) and get its id. - - :param provenance: The provenance to be created. - :return: the id of the created provenance. - """ - logger.info("Creating provenance") - provenance_id = self._post_request("/json/provenance", provenance.to_odh_repr()) - return provenance_id - - def _post_data_type_batch(self, data_types: List[DataType], provenance: Provenance) -> None: - """ - Create a batch of data types (if a data type with the same name is already present it will be updated). - - :param data_types: The data types to be created. - :param provenance: The provenance related to the data type to be created. - """ - logger.debug("Creating a batch of data types") - self._post_request("/json/syncDataTypes", - [data_type.to_odh_repr() for data_type in data_types], - query_params={ - "stationType": self._station_type, - "prn": provenance.data_collector, - "prv": provenance.data_collector_version - }) - - def post_data_types(self, data_types: List[DataType], provenance: Provenance) -> None: - """ - Create data types (if a data type with the same name is already present it will be updated). - - :param data_types: The data types to be created. - :param provenance: The provenance related to the data type to be created. - """ - logger.info("Creating data types") - if not self._max_batch_size or (self._max_batch_size and self._max_batch_size >= len(data_types)): - self._post_data_type_batch(data_types, provenance) - else: - for index in range(len(data_types) // self._max_batch_size + 1): - if index < len(data_types) // self._max_batch_size: - self._post_data_type_batch(data_types[index * self._max_batch_size: (index + 1) * self._max_batch_size], provenance) - else: - if len(data_types) > index * self._max_batch_size: - self._post_data_type_batch(data_types[index * self._max_batch_size:], provenance) - - def _post_measure_batch(self, measures: List[MeasureType]) -> None: - """ - Create a batch of measures (if a measure is already present with a newer valid time it will be ignored). - - :param measures: The measures to be created. - """ - - # This method accepts the measures and then subdivides them by provenance id, station code and data type - # { - # : { - # : { - # : [measures list] - # } - # } - # } - - logger.debug("Creating a batch of measures") - measures_dict = {} - for measure in measures: - if measure.provenance.provenance_id not in measures_dict: - measures_dict[measure.provenance.provenance_id] = {} - - if measure.station.code not in measures_dict[measure.provenance.provenance_id]: - measures_dict[measure.provenance.provenance_id][measure.station.code] = {} - - if measure.data_type.name not in measures_dict[measure.provenance.provenance_id][measure.station.code]: - measures_dict[measure.provenance.provenance_id][measure.station.code][measure.data_type.name] = [measure] - else: - measures_dict[measure.provenance.provenance_id][measure.station.code][measure.data_type.name].append(measure) - - if len(measures_dict.keys()) > 1: - logger.error("Measures have more than one provenance") - - for provenance_id in measures_dict: - data_map = { - "name": "(default)", - "branch": {}, - "data": [], - "provenance": provenance_id - } - for station_code in measures_dict[provenance_id]: - data_map["branch"][station_code] = { - "name": "(default)", - "branch": {}, - "data": [] - } - for data_type_name in measures_dict[provenance_id][station_code]: - data_map["branch"][station_code]["branch"][data_type_name] = { - "name": "(default)", - "branch": {}, - "data": [data_point.to_odh_repr() for data_point in measures_dict[provenance_id][station_code][data_type_name]] # Send data to ODH in chronological order - } - - self._post_request(f"/json/pushRecords/{self._station_type}", data_map) - - def post_measures(self, measures: List[MeasureType]) -> None: - """ - Create measures (if a measure is already present with a newer valid time it will be ignored). - - :param measures: The measures to be created. - """ - logger.info("Creating measures") - measures.sort(key=lambda x: x.valid_time) # Send data to ODH in chronological order - if not self._max_batch_size or (self._max_batch_size and self._max_batch_size >= len(measures)): - self._post_measure_batch(measures) - else: - for index in range(len(measures) // self._max_batch_size + 1): - if index < len(measures) // self._max_batch_size: - self._post_measure_batch(measures[index * self._max_batch_size: (index + 1) * self._max_batch_size]) - else: - if len(measures) > index * self._max_batch_size: - self._post_measure_batch(measures[index * self._max_batch_size:]) diff --git a/pollution/src/pollution_connector/connector/pollution.py b/pollution/src/pollution_connector/connector/pollution.py deleted file mode 100644 index deabd631..00000000 --- a/pollution/src/pollution_connector/connector/pollution.py +++ /dev/null @@ -1,59 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -from typing import Optional, List - -from pollution_connector.connector.common import ODHBaseConnector -from pollution_connector.data_model.pollution import PollutionMeasure -from pollution_connector.data_model.traffic import TrafficSensorStation - - -class PollutionODHConnector(ODHBaseConnector[PollutionMeasure, TrafficSensorStation]): - - def __init__(self, - base_reader_url: str, - base_writer_url: str, - authentication_url: str, - username: Optional[str], - password: Optional[str], - client_id: Optional[str], - client_secret: Optional[str], - grant_type: List[str], - pagination_size: int, - max_post_batch_size: Optional[int], - requests_timeout: float, - requests_max_retries: int, - requests_sleep_time: float, - requests_retry_sleep_time: float) -> None: - - station_type = "TrafficSensor" - measure_types = PollutionMeasure.get_pollution_data_types() - measure_types = [measure_type.name for measure_type in measure_types] - - super().__init__(base_reader_url, - base_writer_url, - station_type, - measure_types, - authentication_url, - username, - password, - client_id, - client_secret, - grant_type, - pagination_size, - max_post_batch_size, - requests_timeout, - requests_max_retries, - requests_sleep_time, - requests_retry_sleep_time) - - @staticmethod - def build_station(raw_station: dict) -> TrafficSensorStation: - return TrafficSensorStation.from_odh_repr(raw_station) - - @staticmethod - def build_measure(raw_measure: dict) -> PollutionMeasure: - return PollutionMeasure.from_odh_repr(raw_measure) diff --git a/pollution/src/pollution_connector/connector/traffic.py b/pollution/src/pollution_connector/connector/traffic.py deleted file mode 100644 index 153eedb6..00000000 --- a/pollution/src/pollution_connector/connector/traffic.py +++ /dev/null @@ -1,64 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -from typing import Optional, List - -from pollution_connector.connector.common import ODHBaseConnector -from pollution_connector.data_model.traffic import TrafficMeasure, TrafficSensorStation - - -class TrafficODHConnector(ODHBaseConnector[TrafficMeasure, TrafficSensorStation]): - - def __init__(self, - base_reader_url: str, - base_writer_url: str, - authentication_url: str, - username: Optional[str], - password: Optional[str], - client_id: Optional[str], - client_secret: Optional[str], - grant_type: List[str], - pagination_size: int, - max_post_batch_size: Optional[int], - requests_timeout: float, - requests_max_retries: int, - requests_sleep_time: float, - requests_retry_sleep_time: float) -> None: - - station_type = "TrafficSensor" - measure_types = [ - "Nr. Buses", - "Nr. Heavy Vehicles", - "Nr. Light Vehicles", - "Average Speed Buses", - "Average Speed Heavy Vehicles", - "Average Speed Light Vehicles" - ] - - super().__init__(base_reader_url, - base_writer_url, - station_type, - measure_types, - authentication_url, - username, - password, - client_id, - client_secret, - grant_type, - pagination_size, - max_post_batch_size, - requests_timeout, - requests_max_retries, - requests_sleep_time, - requests_retry_sleep_time) - - @staticmethod - def build_station(raw_station: dict) -> TrafficSensorStation: - return TrafficSensorStation.from_odh_repr(raw_station) - - @staticmethod - def build_measure(raw_measure: dict) -> TrafficMeasure: - return TrafficMeasure.from_odh_repr(raw_measure) diff --git a/pollution/src/pollution_connector/data_model/__init__.py b/pollution/src/pollution_connector/data_model/__init__.py deleted file mode 100644 index a1097782..00000000 --- a/pollution/src/pollution_connector/data_model/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution/src/pollution_connector/data_model/common.py b/pollution/src/pollution_connector/data_model/common.py deleted file mode 100644 index 6059f49f..00000000 --- a/pollution/src/pollution_connector/data_model/common.py +++ /dev/null @@ -1,186 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -from dataclasses import dataclass, field -from datetime import datetime -from enum import Enum -from typing import TypeVar, Generic, List, Iterable, Optional, Dict - -import dateutil.parser - - -class VehicleClass(Enum): - - BUSES = "BUSES" - HEAVY_VEHICLES = "HEAVY_VEHICLES" - LIGHT_VEHICLES = "LIGHT_VEHICLES" - - -@dataclass -class Provenance: - provenance_id: Optional[str] - lineage: str - data_collector: str - data_collector_version: str - - @classmethod - def from_odh_repr(cls, raw_data: dict): - return cls( - provenance_id=None, - lineage=raw_data["prlineage"], - data_collector=raw_data["prname"], - data_collector_version=raw_data["prversion"] - ) - - def to_odh_repr(self) -> dict: - return { - "uuid": self.provenance_id, - "lineage": self.lineage, - "dataCollector": self.data_collector, - "dataCollectorVersion": self.data_collector_version - } - - -@dataclass -class DataType: - name: str - description: Optional[str] - data_type: Optional[str] - unit: Optional[str] - metadata: Optional[dict] - - @classmethod - def from_odh_repr(cls, raw_data: dict): - return cls( - name=raw_data["tname"], - description=raw_data.get("tdescription"), - data_type=raw_data.get("ttype"), - unit=raw_data.get("tunit"), - metadata=raw_data.get("tmetadata") - ) - - def to_odh_repr(self) -> dict: - return { - "name": self.name, - "description": self.description, - "rtype": self.data_type, - "unit": self.unit, - "metadata": self.metadata, - "_t": "it.bz.idm.bdp.dto.DataTypeDto" - } - - -@dataclass -class Measure: - station: Station - data_type: DataType - provenance: Provenance - period: Optional[int] - transaction_time: Optional[datetime] - valid_time: datetime - value: float or int or str - - @classmethod - def from_odh_repr(cls, raw_data: dict): - return cls( - station=Station.from_odh_repr(raw_data), - data_type=DataType.from_odh_repr(raw_data), - provenance=Provenance.from_odh_repr(raw_data), - period=raw_data.get("mperiod"), - transaction_time=dateutil.parser.parse(raw_data["mtransactiontime"]) if raw_data.get("mtransactiontime") else None, - valid_time=dateutil.parser.parse(raw_data["mvalidtime"]), - value=raw_data["mvalue"], - ) - - def to_odh_repr(self) -> dict: - return { - "timestamp": self.valid_time.timestamp() * 1000, - "value": self.value, - "period": self.period, - "_t": "it.bz.idm.bdp.dto.SimpleRecordDto" - } - - -MeasureType = TypeVar("MeasureType", bound=Measure) - - -@dataclass -class Station: - - code: str - active: bool - available: bool - coordinates: dict - metadata: dict - name: str - station_type: str - origin: Optional[str] - - @classmethod - def from_odh_repr(cls, raw_data: dict): - return cls( - code=raw_data["scode"], - active=raw_data["sactive"], - available=raw_data["savailable"], - coordinates=raw_data["scoordinate"], - metadata=raw_data["smetadata"], - name=raw_data["sname"], - station_type=raw_data["stype"], - origin=raw_data.get("sorigin") - ) - - -StationType = TypeVar("StationType", bound=Station) - - -@dataclass -class MeasureCollection(Generic[MeasureType, StationType]): - """ - This class represent a collection of measures and contains all the method necessary for filtering nad handling them. - """ - - measures: List[MeasureType] = field(default_factory=list) - - def with_measure(self, measure: MeasureType) -> MeasureCollection: - """ - Add a new traffic sensor to the collection - - :param measure: the measure to add - :return: the updated collection - """ - self.measures.append(measure) - return self - - def with_measures(self, measures: Iterable[MeasureType]) -> MeasureCollection: - """ - Add a new traffic sensor to the collection - - :param measures: the measures to add - :return: the updated collection - """ - self.measures.extend(measures) - return self - - def get_measures_by_station(self, station: StationType) -> List[MeasureType]: - """ - Filter the available measure by the given station - - :param station: the station on which filter the measures - :return: the measures filtered by the given station - """ - return list(filter(lambda x: x.station == station, self.measures)) - - def get_stations(self) -> Dict[str, StationType]: - """ - Get the stations related to the measures in the format station_code: Station. - - :return: the stations related to the measures in the format station_code: Station. - """ - stations_dict: Dict[str, StationType] = {} - for measure in self.measures: - if measure.station.code not in stations_dict: - stations_dict[measure.station.code] = measure.station - return stations_dict diff --git a/pollution/src/pollution_connector/data_model/pollution.py b/pollution/src/pollution_connector/data_model/pollution.py deleted file mode 100644 index 993bfac0..00000000 --- a/pollution/src/pollution_connector/data_model/pollution.py +++ /dev/null @@ -1,71 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -from dataclasses import dataclass -from datetime import datetime -from enum import Enum -from typing import Optional, List, Dict - -from pollution_connector.data_model.common import VehicleClass, MeasureCollection, Measure, Provenance, DataType -from pollution_connector.data_model.traffic import TrafficSensorStation - - -class PollutantClass(Enum): - - CO = "CO" - CO2 = "CO2" - NOx = "NOx" - PM10 = "PM Exhaust" - VOC = "VOC" - - -@dataclass -class PollutionEntry: - station: TrafficSensorStation - valid_time: datetime - vehicle_class: VehicleClass - pollutant_class: PollutantClass - pollutant_value: Optional[float] - period: Optional[int] - - -class PollutionMeasure(Measure): - - @staticmethod - def get_pollution_data_types() -> List[DataType]: - data_types = [] - for vehicle in VehicleClass: - for pollutant in PollutantClass: - data_types.append(DataType(f"{vehicle.name}-{pollutant.name}-emissions", f"{vehicle.value} emissions of {pollutant.name}", "total", "g/km", {})) - return data_types - - -@dataclass -class PollutionMeasureCollection(MeasureCollection[PollutionMeasure, TrafficSensorStation]): - - @staticmethod - def build_from_pollution_entries(pollution_entries: List[PollutionEntry], provenance: Provenance) -> PollutionMeasureCollection: - """ - Build a PollutionMeasureCollection from the list of pollution entries. - - :param pollution_entries: the pollution entries from which generate the PollutionMeasureCollection - :param provenance: the provenance of the pollution measures - :return: a PollutionMeasureCollection object containing the pollution measures generated from the pollution entries - """ - data_types_dict: Dict[str, DataType] = {data_type.name: data_type for data_type in PollutionMeasure.get_pollution_data_types()} - pollution_measures: List[PollutionMeasure] = [] - for pollution_entry in pollution_entries: - pollution_measures.append(PollutionMeasure( - station=pollution_entry.station, - data_type=data_types_dict[f"{pollution_entry.vehicle_class.name}-{pollution_entry.pollutant_class.name}-emissions"], - provenance=provenance, - period=pollution_entry.period, - transaction_time=None, - valid_time=pollution_entry.valid_time, - value=pollution_entry.pollutant_value - )) - - return PollutionMeasureCollection(pollution_measures) diff --git a/pollution/src/pollution_connector/data_model/traffic.py b/pollution/src/pollution_connector/data_model/traffic.py deleted file mode 100644 index ab647fe0..00000000 --- a/pollution/src/pollution_connector/data_model/traffic.py +++ /dev/null @@ -1,147 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -from dataclasses import dataclass -from datetime import datetime -from typing import Optional, Dict, Iterator - -import dateutil.parser - -from pollution_connector.data_model.common import VehicleClass, Measure, MeasureCollection, Station, DataType, \ - Provenance - - -@dataclass -class TrafficSensorStation(Station): - - def split_station_code(self) -> (str, int, int): - """ - splits the station code using the pattern ID_strada:ID_stazione:ID_corsia and returns a tuple - with the following structure (ID_strada, ID_stazione, ID_corsia) - :return: - """ - splits = self.code.split(":") - if len(splits) != 3: - raise ValueError(f"Unable to split [{self.code}] in ID_strada:ID_stazione:ID_corsia") - return splits[0], int(splits[1]), int(splits[2]) - - @property - def id_strada(self) -> str: - id_strada, id_stazione, id_corsia = self.split_station_code() - return id_strada - - @property - def id_stazione(self) -> int: - id_strada, id_stazione, id_corsia = self.split_station_code() - return id_stazione - - @property - def id_corsia(self) -> int: - id_strada, id_stazione, id_corsia = self.split_station_code() - return id_corsia - - -@dataclass -class TrafficMeasure(Measure): - station: TrafficSensorStation - - @classmethod - def from_odh_repr(cls, raw_data: dict): - return cls( - station=TrafficSensorStation.from_odh_repr(raw_data), - data_type=DataType.from_odh_repr(raw_data), - provenance=Provenance.from_odh_repr(raw_data), - period=raw_data.get("mperiod"), - transaction_time=dateutil.parser.parse(raw_data["mtransactiontime"]) if raw_data.get("mtransactiontime") else None, - valid_time=dateutil.parser.parse(raw_data["mvalidtime"]), - value=raw_data["mvalue"], - ) - - @property - def vehicle_class(self): - if "BUSES" in self.data_type.name.upper(): - return VehicleClass.BUSES - elif "HEAVY" in self.data_type.name.upper(): - return VehicleClass.HEAVY_VEHICLES - elif "LIGHT" in self.data_type.name.upper(): - return VehicleClass.LIGHT_VEHICLES - - @property - def is_vehicle_counting_measure(self) -> bool: - return self.data_type.name.upper() in [ - "NR. BUSES", - "NR. HEAVY VEHICLES", - "NR. LIGHT VEHICLES" - ] - - @property - def is_average_speed_measure(self) -> bool: - return self.data_type.name.upper() in [ - "AVERAGE SPEED BUSES", - "AVERAGE SPEED HEAVY VEHICLES", - "AVERAGE SPEED LIGHT VEHICLES" - ] - - -@dataclass -class TrafficEntry: - station: TrafficSensorStation - transaction_time: datetime - valid_time: datetime - vehicle_class: VehicleClass - nr_of_vehicles: Optional[int] - average_speed: Optional[float] - period: Optional[int] - - -@dataclass -class TrafficMeasureCollection(MeasureCollection[TrafficMeasure, TrafficSensorStation]): - - def _build_traffic_entries_dictionary(self) -> Dict[str, Dict[datetime, Dict[VehicleClass, TrafficEntry]]]: - # A temporary dictionary used for faster aggregation of the results - # The dictionary will have the following structure - # StationCode -> (measure valid time -> (vehicle class -> TrafficEntry)) - result: Dict[str, Dict[datetime, Dict[VehicleClass, TrafficEntry]]] = {} - for measure in self.measures: - if measure.station.code not in result: - result[measure.station.code] = {} - if measure.valid_time not in result[measure.station.code]: - result[measure.station.code][measure.valid_time] = {} - if measure.vehicle_class not in result[measure.station.code][measure.valid_time]: - entry = TrafficEntry( - station=measure.station, - transaction_time=measure.transaction_time, - valid_time=measure.valid_time, - vehicle_class=measure.vehicle_class, - nr_of_vehicles=None, - average_speed=None, - period=measure.period - ) - result[measure.station.code][measure.valid_time][measure.vehicle_class] = entry - else: - entry = result[measure.station.code][measure.valid_time][measure.vehicle_class] - - if measure.is_vehicle_counting_measure: - if entry.nr_of_vehicles is not None: - raise ValueError(f"Duplicated measure for type [{measure.data_type.name}] on station [{measure.station.code} for date [{measure.valid_time}]") - entry.nr_of_vehicles = measure.value - elif measure.is_average_speed_measure: - if entry.average_speed is not None: - raise ValueError(f"Duplicated measure for type [{measure.data_type.name}] on station [{measure.station.code} for date [{measure.valid_time}]") - entry.average_speed = measure.value - - return result - - def get_traffic_entries(self) -> Iterator[TrafficEntry]: - """ - Build and retrieve the list of traffic entry from the available measures - - :return: an iterator of traffic entries - """ - for station_dict in self._build_traffic_entries_dictionary().values(): - for date_dict in station_dict.values(): - for traffic_entry in date_dict.values(): - yield traffic_entry diff --git a/pollution/src/pollution_connector/main.py b/pollution/src/pollution_connector/main.py deleted file mode 100644 index 0e659be8..00000000 --- a/pollution/src/pollution_connector/main.py +++ /dev/null @@ -1,59 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -import argparse -import logging.config - -import dateutil.parser -import sentry_sdk -from celery.result import AsyncResult - -from pollution_connector.common.logging import get_logging_configuration -from pollution_connector.settings import DEFAULT_TIMEZONE, SENTRY_SAMPLE_RATE -from pollution_connector.tasks.pollution_computation import compute_pollution_data - -logging.config.dictConfig(get_logging_configuration("pollution_connector")) -logger = logging.getLogger("pollution_connector") - -sentry_sdk.init( - traces_sample_rate=SENTRY_SAMPLE_RATE, - integrations=[] -) - -if __name__ == "__main__": - - arg_parser = argparse.ArgumentParser(description="Manually run a pollution computation") - arg_parser.add_argument("-f", "--from-date", type=str, required=False, - help="The starting date[time] in isoformat (up to one second level of precision, milliseconds for the from date field are not supported in ODH) for downloading data from ODH if no pollution measures are available") - - arg_parser.add_argument("-t", "--to-date", type=str, required=False, - help="The end date[time] in isoformat for downloading the traffic measures. If not specified, the default will be the current datetime") - - arg_parser.add_argument("--run-async", action="store_true", help="If set it run the task in the celery cluster") - args = arg_parser.parse_args() - - if args.from_date: - from_date = dateutil.parser.parse(args.from_date) - if from_date.tzinfo is None: - from_date = DEFAULT_TIMEZONE.localize(from_date) - if from_date.microsecond: - from_date = from_date.replace(microsecond=0) - else: - from_date = None - - if args.to_date: - to_date = dateutil.parser.parse(args.to_date) - if to_date.tzinfo is None: - to_date = DEFAULT_TIMEZONE.localize(to_date) - else: - to_date = None - - if args.run_async: - task: AsyncResult = compute_pollution_data.delay(min_from_date=from_date, max_to_date=to_date) - logger.info(f"Scheduled async pollution computation. Task ID: [{task.task_id}]") - else: - logger.info("Staring pollution computation") - compute_pollution_data(min_from_date=from_date, max_to_date=to_date) diff --git a/pollution/src/pollution_connector/pollution_computation_model/CopertEmissions.py b/pollution/src/pollution_connector/pollution_computation_model/CopertEmissions.py deleted file mode 100644 index 69cc78b1..00000000 --- a/pollution/src/pollution_connector/pollution_computation_model/CopertEmissions.py +++ /dev/null @@ -1,97 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -""" -Created on Tue Aug 16 2022 -@author: nicola -""" -import os -import sqlite3 -import pandas as pd -import numpy as np - - -# stima delle emissioni con metodo di copert -def copert_emissions(traffic_df): - # ------------------------------------------------------------------------------ - # 0. INIZIALIZZAZIONE - # ------------------------------------------------------------------------------ - # Percorsi dei file di input e output - input_data_path = f"{os.path.dirname(os.path.abspath(__file__))}/input/" - input_copert = input_data_path + 'copert55.db' - # Importa tabella dei coefficienti COPERT da DB - con = sqlite3.connect(input_copert) - copert = pd.read_sql_query("SELECT * FROM COPERT", con) - # Importa file csv di input: - # 1- fleet-composition: distribuzione percentuale parco macchine per categoria, - # alimentazione e classe EURO - fc = pd.read_csv(input_data_path + 'fc_info.csv') - # 2- geometria dell'asse stradale (chilometrica e quote) - geometry = pd.read_csv(input_data_path + 'geometry.csv') - # 3- lista delle stazioni da non considerare (blacklist) - blacklist = np.loadtxt(input_data_path + 'blacklist.txt') - # 4- file della chilometrica (temporaneo fino a quando non sarà esposta in ODH) - km = pd.read_csv(input_data_path + 'km.csv') - # ------------------------------------------------------------------------------ - # 1. CALCOLI PRELIMINARI - # ------------------------------------------------------------------------------ - adt = traffic_df - # Eliminazione delle stazioni presenti in black list - adt = adt[~adt.Station.isin(blacklist)] - # aggiunta valori di chilometrica al df di input se non è presente - adt = pd.merge(adt, km, on='Station', how='left') - # trasformazione valore chilometrica da metri a chilometri - adt['KM'] = adt['KM'].astype(float).div(1000) - # se non è presente il valore di chilometrica, allora prendilo da file 'km.csv' - # se km == nan, allora pendenza = 0 - adt['KM'] = adt['KM'].fillna(adt['km']) - adt.drop('km', axis=1, inplace=True) - adt.rename(columns={'KM': 'km'}, inplace=True) - adt['KM'] = adt['km'].astype(float).round() - # assegnazione valore di pendenza ad ogni stazione, basato su chilometrica più vicina - if ('RoadSlope' in copert) and ('RoadSlope' in geometry): - adt = pd.merge(adt, geometry[['KM', 'RoadSlope']], on='KM') - adt.loc[(adt['Lane'] == 1) | (adt['Lane'] == 2), 'RoadSlope'] = -1 * adt['RoadSlope'] - # Roadslope è solo per i mezzi pesanti, per gli altri inserisco NaN. - # Seleziona le categorie per le quali non è definita la RoadSlope in copert - df = pd.DataFrame(copert, columns=['Category', 'RoadSlope']) - df = df[df['RoadSlope'].isnull()].drop_duplicates() - adt['RoadSlope'] = np.where(adt['Category'].isin(df['Category']), float('NaN'), adt['RoadSlope']) - # Preparazione del dataframe con tutti i dati per il calcolo delle emissioni. - emission = pd.merge(adt, fc, on=['Category']) - # Calcolo numero di transiti per ogni tipo di veicolo - emission['Total_Transits'] = ((emission['Transits'] * emission['PercvsADT'])) - # ------------------------------------------------------------------------------ - # 2. CALCOLO FATTORI DI EMISSIONE, EMISSIONI PER KM, EMISSIONI TOTALI - # ------------------------------------------------------------------------------ - # Selezione dei coefficienti di COPERT da utilizzare - if ('RoadSlope' in copert) and ('RoadSlope' in geometry): - emission = pd.merge(emission, copert, on=['Location', 'Category', 'Fuel', 'ID_Euro', 'RoadSlope']) - elif ('RoadSlope' in copert) and ('RoadSlope' not in geometry): - copert = copert[(copert['RoadSlope'] == 0) | (copert['RoadSlope'].isnull())] - emission = pd.merge(emission, copert, on=['Location', 'Category', 'Fuel', 'ID_Euro', 'RoadSlope']) - else: - emission = pd.merge(emission, copert, on=['Location', 'Category', 'Fuel', 'ID_Euro']) - # Controllo range di validità della velocità per i veicoli: - # se la velocità misurata è superiore alla massima ammissibile, il calcolo - # delle emissioni viene svolto con la massima ammissibile. Idem per la minima. - emission.loc[emission['Speed'] < emission['MinSpeed'], 'Speed'] = emission['MinSpeed'] - emission.loc[emission['Speed'] > emission['MaxSpeed'], 'Speed'] = emission['MaxSpeed'] - # Fattori di emissione (EF) ed emissioni (E) per ogni categoria. - emission['EF'] = (emission['Alpha'] * emission['Speed'] * emission['Speed'] + emission['Beta'] * emission['Speed'] + emission['Gamma'] + emission['Delta'] / emission['Speed']) / (emission['Epsilon'] * emission['Speed'] * emission['Speed'] + emission['Zita'] * emission['Speed'] + emission['Hta']) * (1. - emission['EuroReductionFactor']) * (1. - emission['FuelReductionFactor']) - emission['E'] = emission['EF'] * emission['Total_Transits'] - # Emissioni totali [g/km] alle stazioni di misura. - emission_agg = emission.groupby( - ['date', 'time', 'Period', 'Location', 'Station', 'Lane', 'Category', 'km', 'Pollutant']).agg( - {'Total_Transits': sum, 'E': sum}).reset_index() - # Emissioni totali [g] sui tratti di strada associati alle stazioni. - # I valori sono arrotondati all'intero, la precisione al grammo è più che - # sufficiente) - # Arrotondamento all'intero del numero di transiti - emission_agg['Total_Transits'] = emission_agg['Total_Transits'].round().astype(int) - # ------------------------------------------------------------------------------ - # 3. ESPORTAZIONE RISULTATI - # ------------------------------------------------------------------------------ - # Ritorna solo le colonne utili - return emission_agg[['date', 'time', 'Period', 'Location', 'Station', 'Lane', 'Category', 'km', 'Pollutant', 'Total_Transits', 'E']] diff --git a/pollution/src/pollution_connector/pollution_computation_model/__init__.py b/pollution/src/pollution_connector/pollution_computation_model/__init__.py deleted file mode 100644 index a1097782..00000000 --- a/pollution/src/pollution_connector/pollution_computation_model/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution/src/pollution_connector/pollution_computation_model/input/blacklist.txt b/pollution/src/pollution_connector/pollution_computation_model/input/blacklist.txt deleted file mode 100644 index fd51a2be..00000000 --- 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--git a/pollution/src/pollution_connector/pollution_computation_model/input/fc_info.csv b/pollution/src/pollution_connector/pollution_computation_model/input/fc_info.csv deleted file mode 100644 index 3acf2858..00000000 --- a/pollution/src/pollution_connector/pollution_computation_model/input/fc_info.csv +++ /dev/null @@ -1,37 +0,0 @@ -Category,Fuel,ID_Euro,PercvsADT -LIGHT_VEHICLES,Diesel,0,0.000241822064265109 -LIGHT_VEHICLES,Diesel,1,0.000386683274144897 -LIGHT_VEHICLES,Diesel,2,0.00449164497610123 -LIGHT_VEHICLES,Diesel,3,0.0287317045835918 -LIGHT_VEHICLES,Diesel,4,0.0974259610937283 -LIGHT_VEHICLES,Diesel,5,0.210241155084851 -LIGHT_VEHICLES,Diesel,6,0.424291230982214 -LIGHT_VEHICLES,Electric,E,0.0116697405740457 -LIGHT_VEHICLES,Other,0,2.74436868356659e-05 -LIGHT_VEHICLES,Other,1,3.38100641365434e-05 -LIGHT_VEHICLES,Other,2,0.000370613062918863 -LIGHT_VEHICLES,Other,3,0.000459224075911952 -LIGHT_VEHICLES,Other,4,0.0077839718282387 -LIGHT_VEHICLES,Other,5,0.00721657852731301 -LIGHT_VEHICLES,Other,6,0.0542400635738775 -LIGHT_VEHICLES,Petrol,0,0.0001316805130743 -LIGHT_VEHICLES,Petrol,1,0.000227000451027978 -LIGHT_VEHICLES,Petrol,2,0.00315793643230837 -LIGHT_VEHICLES,Petrol,3,0.00545876306286451 -LIGHT_VEHICLES,Petrol,4,0.0338571682422739 -LIGHT_VEHICLES,Petrol,5,0.0297946325107175 -LIGHT_VEHICLES,Petrol,6,0.0797611713355592 -HEAVY_VEHICLES,Diesel,0,0.00219854488802321 -HEAVY_VEHICLES,Diesel,1,0.00310873272607045 -HEAVY_VEHICLES,Diesel,2,0.0104762860485827 -HEAVY_VEHICLES,Diesel,3,0.0577249741544343 -HEAVY_VEHICLES,Diesel,4,0.0223422262051062 -HEAVY_VEHICLES,Diesel,5,0.147385190622554 -HEAVY_VEHICLES,Diesel,6,0.756759169914438 -BUSES,Diesel,0,0.00219854488802321 -BUSES,Diesel,1,0.00310873272607045 -BUSES,Diesel,2,0.0104762860485827 -BUSES,Diesel,3,0.0577249741544343 -BUSES,Diesel,4,0.0223422262051062 -BUSES,Diesel,5,0.147385190622554 -BUSES,Diesel,6,0.756759169914438 diff --git a/pollution/src/pollution_connector/pollution_computation_model/input/geometry.csv b/pollution/src/pollution_connector/pollution_computation_model/input/geometry.csv deleted file mode 100644 index 1282195b..00000000 --- a/pollution/src/pollution_connector/pollution_computation_model/input/geometry.csv +++ /dev/null @@ -1,316 +0,0 @@ -KM,quota,RoadSlope -0,1376.4,0 -1,1374.9,0 -2,1365.2,-0.02 -3,1344.8,-0.02 -4,1322.3,-0.02 -5,1308.5,-0.02 -6,1288.9,-0.02 -7,1256.8,-0.04 -8,1218.4,-0.04 -9,1183.2,-0.04 -10,1142.9,-0.04 -11,1107.6,-0.04 -12,1072.9,-0.04 -13,1036.7,-0.04 -14,1003.2,-0.04 -15,971.3,-0.02 -16,946.4,-0.02 -17,939,0 -18,932.4,0 -19,928.3,0 -20,927.4,0 -21,935.1,0 -22,925.4,-0.02 -23,913.5,-0.02 -24,892.7,-0.02 -25,873.9,-0.02 -26,858.4,-0.02 -27,851.1,0 -28,841.7,-0.02 -29,830.7,-0.02 -30,815.6,-0.02 -31,804,-0.02 -32,790,-0.02 -33,773.4,-0.02 -34,754.7,-0.02 -35,752.1,0 -36,747.6,0 -37,734.7,-0.02 -38,705.3,-0.02 -39,680.4,-0.02 -40,659,-0.02 -41,636.4,-0.02 -42,615.5,-0.02 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-277,13.3,0 -278,12.7,0 -279,13.1,0 -280,13.8,0 -281,14.2,0 -282,14.3,0 -283,13.6,0 -284,13.5,0 -285,17.4,0 -286,19,0 -287,17.9,0 -288,17.3,0 -289,18.1,0 -290,17.5,0 -291,17.2,0 -292,16.7,0 -293,16.6,0 -294,16.7,0 -295,17,0 -296,18.2,0 -297,19.6,0 -298,20.4,0 -299,21.3,0 -300,23,0 -301,24.6,0 -302,26.4,0 -303,28,0 -304,28.4,0 -305,28.8,0 -306,30,0 -307,31.7,0 -308,32.5,0 -309,33.3,0 -310,34.3,0 -311,35,0 -312,38.8,0 -313,42.6,0 -NA,0,0 diff --git a/pollution/src/pollution_connector/pollution_computation_model/input/km.csv b/pollution/src/pollution_connector/pollution_computation_model/input/km.csv deleted file mode 100644 index 27aa2d8a..00000000 --- a/pollution/src/pollution_connector/pollution_computation_model/input/km.csv +++ /dev/null @@ -1,52 +0,0 @@ -Station,km -678,0.2 -5414,12.2 -677,36.7 -666,47.7 -676,63.5 -5416,76.6 -684,81.2 -679,87.8 -5687,103.7 -5954,105.163 -5936,105.163 -680,107 -685,123.9 -5953,123.9 -5937,123.9 -668,123.96 -5807,132.8 -5955,138.415 -5938,138.415 -5417,140.605 -5418,144.93 -5419,151.05 -1886,156.595 -5960,156.595 -5939,156.595 -889,159.2 -890,161.6 -1887,164.355 -686,167.9 -687,177.6 -5959,177.6 -5958,177.6 -5957,205.165 -5956,205.165 -683,205.5 -5753,216.5 -1871,227.6 -1872,228.2 -663,242.5 -5776,247.9 -671,261.4 -672,271.9 -661,283.3 -681,301.2 -5845,305.2 -5767,313 -673,313 -659,228.5 -657,227.5 -660,227.5 -658,228.3 diff --git a/pollution/src/pollution_connector/pollution_computation_model/pollution_computation_model.py b/pollution/src/pollution_connector/pollution_computation_model/pollution_computation_model.py deleted file mode 100644 index 99cc0d76..00000000 --- a/pollution/src/pollution_connector/pollution_computation_model/pollution_computation_model.py +++ /dev/null @@ -1,102 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -import datetime -import json -import logging -from typing import List, Iterable, Dict - -import pandas as pd - -from pollution_connector.data_model.common import VehicleClass -from pollution_connector.data_model.pollution import PollutionEntry, PollutantClass -from pollution_connector.data_model.traffic import TrafficMeasureCollection, TrafficEntry, TrafficSensorStation -from pollution_connector.pollution_computation_model.CopertEmissions import copert_emissions - -logger = logging.getLogger("pollution_connector.pollution_computation_model.pollution_computation_model") - - -class PollutionComputationModel: - - def __init__(self): - pass - - def _compute(self, traffic_df: pd.DataFrame) -> pd.DataFrame: - emissions_df = copert_emissions(traffic_df) - return emissions_df - - @staticmethod - def _get_traffic_dataframe(traffic_entries: Iterable[TrafficEntry]) -> pd.DataFrame: - """ - Get a dataframe from the given traffic entries. The resulting dataframe will have the following columns: - date,time,Location,Station,Lane,Category,Transits,Speed,km - - :param traffic_entries: the traffic entries - :return: the traffic dataframe - """ - temp = [] - for entry in traffic_entries: - - km = None - if "a22_metadata" in entry.station.metadata: - try: - meta: dict = json.loads(entry.station.metadata["a22_metadata"]) - km = meta.get("metro") - except Exception as e: - logger.warning(f"Unable to parse the KM data for station [{entry.station.code}], error [{e}]") - - temp.append({ - "date": entry.valid_time.date().isoformat(), - "time": entry.valid_time.time().isoformat(), - "Location": entry.station.id_strada, - "Station": entry.station.id_stazione, - "Lane": entry.station.id_corsia, - "Category": entry.vehicle_class.value, - "Transits": entry.nr_of_vehicles, - "Speed": entry.average_speed, - "Period": entry.period, - "KM": km - }) - - return pd.DataFrame(temp) - - @staticmethod - def _get_pollution_entries_from_df(pollution_df: pd.DataFrame, stations_dict: Dict[str, TrafficSensorStation]) -> List[PollutionEntry]: - """ - Create a list of PollutionEntry for the given dataframe. The dataframe should have the following columns: - date,time,Location,Station,Lane,Category,km,Pollutant,Total_Transits,E - - :param pollution_df: the pollution dataframe - :param stations_dict: the stations related to the measures in the format station_code: Station - :return: the list of pollution entries - """ - pollution_entries = [] - for _, row in pollution_df.iterrows(): - pollution_entries.append(PollutionEntry( - station=stations_dict[f"{row['Location']}:{row['Station']}:{row['Lane']}"], - valid_time=datetime.datetime.fromisoformat(f"{row['date']}T{row['time']}"), - vehicle_class=VehicleClass(row["Category"]), - pollutant_class=PollutantClass(row["Pollutant"]), - pollutant_value=row["E"], - period=row["Period"] - )) - return pollution_entries - - def compute_pollution_data(self, traffic_measure_collection: TrafficMeasureCollection) -> List[PollutionEntry]: - """ - Compute the pollution measure given the available traffic measures - :param traffic_measure_collection: A collection which contain all the available traffic measures - :return: A list of the new computed pollution measures - """ - traffic_entries = list(traffic_measure_collection.get_traffic_entries()) - - if len(traffic_entries) > 0: - traffic_df = self._get_traffic_dataframe(traffic_entries) - pollution_df = self._compute(traffic_df) - return self._get_pollution_entries_from_df(pollution_df, traffic_measure_collection.get_stations()) - else: - logger.info("0 traffic entries found skipping pollution computation") - return [] diff --git a/pollution/src/pollution_connector/settings.py b/pollution/src/pollution_connector/settings.py deleted file mode 100644 index b028ef43..00000000 --- a/pollution/src/pollution_connector/settings.py +++ /dev/null @@ -1,58 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -import os - -import dateutil.parser -import pytz - -# Celery -CELERY_BROKER_URL = os.getenv("CELERY_BROKER_URL") -CELERY_BACKEND_URL = os.getenv("CELERY_BACKEND_URL") -CELERY_RESULT_EXPIRATION_SECONDS = int(os.getenv("CELERY_RESULT_EXPIRATION_SECONDS", 604800)) - -# Pollution task -POLLUTION_TASK_SCHEDULING_MINUTE = os.getenv("POLLUTION_TASK_SCHEDULING_MINUTE", "*/10") -POLLUTION_TASK_SCHEDULING_HOUR = os.getenv("POLLUTION_TASK_SCHEDULING_HOUR", "*") - -# Sentry -SENTRY_SAMPLE_RATE = float(os.getenv("SENTRY_SAMPLE_RATE", 1.0)) - -# Logging -LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO") -LOG_LEVEL_LIBS = os.getenv("LOG_LEVEL_LIBS", "DEBUG") -LOGS_DIR = os.getenv("LOGS_DIR", "") - -# Open Data Hub -ODH_BASE_READER_URL = os.getenv("ODH_BASE_READER_URL") -ODH_BASE_WRITER_URL = os.getenv("ODH_BASE_WRITER_URL") -ODH_AUTHENTICATION_URL = os.getenv("ODH_AUTHENTICATION_URL") -ODH_USERNAME = os.getenv("ODH_USERNAME") -ODH_PASSWORD = os.getenv("ODH_PASSWORD") -ODH_CLIENT_ID = os.getenv("ODH_CLIENT_ID") -ODH_CLIENT_SECRET = os.getenv("ODH_CLIENT_SECRET") -ODH_GRANT_TYPE = os.getenv("ODH_GRANT_TYPE", "password").split(";") -ODH_PAGINATION_SIZE = int(os.getenv("ODH_PAGINATION_SIZE", 200)) -ODH_MAX_POST_BATCH_SIZE = int(os.getenv("ODH_MAX_POST_BATCH_SIZE")) if os.getenv("ODH_MAX_POST_BATCH_SIZE") else None -ODH_COMPUTATION_BATCH_SIZE = int(os.getenv("ODH_COMPUTATION_BATCH_SIZE", 30)) -ODH_MINIMUM_STARTING_DATE = dateutil.parser.parse(os.getenv("ODH_MINIMUM_STARTING_DATE", "2018-01-01")) - -# General -DEFAULT_TIMEZONE = pytz.timezone(os.getenv("DEFAULT_TIMEZONE", "Europe/Rome")) - -# Requests management -REQUESTS_TIMEOUT = float(os.getenv("REQUESTS_TIMEOUT", 300)) -REQUESTS_MAX_RETRIES = int(os.getenv("REQUESTS_MAX_RETRIES", 1)) -REQUESTS_SLEEP_TIME = float(os.getenv("REQUESTS_SLEEP_TIME", 0)) -REQUESTS_RETRY_SLEEP_TIME = float(os.getenv("REQUESTS_RETRY_SLEEP_TIME", 30)) - -# Provenance -PROVENANCE_ID = os.getenv("PROVENANCE_ID") -PROVENANCE_LINEAGE = os.getenv("PROVENANCE_LINEAGE", "u-hopper") -PROVENANCE_NAME = os.getenv("PROVENANCE_NAME", "a22-pollutant-elaboration") -PROVENANCE_VERSION = os.getenv("PROVENANCE_VERSION", "0.1.0") - -COMPUTATION_CHECKPOINT_REDIS_HOST = os.getenv("COMPUTATION_CHECKPOINT_REDIS_HOST", None) -COMPUTATION_CHECKPOINT_REDIS_PORT = int(os.getenv("COMPUTATION_CHECKPOINT_REDIS_PORT", 6379)) -COMPUTATION_CHECKPOINT_REDIS_DB = int(os.getenv("COMPUTATION_CHECKPOINT_REDIS_DB", 0)) diff --git a/pollution/src/pollution_connector/tasks/__init__.py b/pollution/src/pollution_connector/tasks/__init__.py deleted file mode 100644 index a1097782..00000000 --- a/pollution/src/pollution_connector/tasks/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution/src/pollution_connector/tasks/pollution_computation.py b/pollution/src/pollution_connector/tasks/pollution_computation.py deleted file mode 100644 index e728e395..00000000 --- a/pollution/src/pollution_connector/tasks/pollution_computation.py +++ /dev/null @@ -1,238 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -import logging -from datetime import datetime, timedelta -from typing import Optional, List - -from redis.client import Redis - -from pollution_connector.cache.computation_checkpoint import ComputationCheckpointCache, ComputationCheckpoint -from pollution_connector.celery_configuration.celery_app import app -from pollution_connector.connector.collector import ConnectorCollector -from pollution_connector.data_model.common import Provenance -from pollution_connector.data_model.pollution import PollutionMeasure, PollutionMeasureCollection, PollutionEntry -from pollution_connector.data_model.traffic import TrafficMeasureCollection, TrafficSensorStation -from pollution_connector.pollution_computation_model.pollution_computation_model import PollutionComputationModel -from pollution_connector.settings import DEFAULT_TIMEZONE, ODH_MINIMUM_STARTING_DATE, PROVENANCE_ID, PROVENANCE_LINEAGE, \ - PROVENANCE_NAME, PROVENANCE_VERSION, COMPUTATION_CHECKPOINT_REDIS_HOST, \ - COMPUTATION_CHECKPOINT_REDIS_PORT, COMPUTATION_CHECKPOINT_REDIS_DB, ODH_COMPUTATION_BATCH_SIZE - -logger = logging.getLogger("pollution_connector.tasks.pollution_computation") - - -@app.task -def compute_pollution_data(min_from_date: Optional[datetime] = None, - max_to_date: Optional[datetime] = None - ) -> None: - """ - Start the computation of a batch of pollution data measures. As starting date for the batch is used the latest - pollution measure available on the ODH, if no pollution measures are available min_from_date is used. - - :param min_from_date: Optional, if set traffic measures before this date are discarded if no pollution measures are available. - If not specified, the default will be taken from the environmental variable `ODH_MINIMUM_STARTING_DATE`. - :param max_to_date: Optional, if set the traffic measure after this date are discarded. - If not specified, the default will be the current datetime. - """ - if min_from_date is None: - min_from_date = ODH_MINIMUM_STARTING_DATE - - if max_to_date is None: - max_to_date = datetime.now(tz=DEFAULT_TIMEZONE) - - checkpoint_cache = None - if COMPUTATION_CHECKPOINT_REDIS_HOST: - logger.info("Enabled checkpoint cache") - checkpoint_cache = ComputationCheckpointCache(Redis(host=COMPUTATION_CHECKPOINT_REDIS_HOST, port=COMPUTATION_CHECKPOINT_REDIS_PORT, db=COMPUTATION_CHECKPOINT_REDIS_DB)) - else: - logger.info("Checkpoint cache disabled") - - collector_connector = ConnectorCollector.build_from_env() - provenance = Provenance(PROVENANCE_ID, PROVENANCE_LINEAGE, PROVENANCE_NAME, PROVENANCE_VERSION) - manager = PollutionComputationManager(collector_connector, provenance, checkpoint_cache) - manager.run_computation_and_upload_results(min_from_date, max_to_date) - - -class PollutionComputationManager: - - def __init__(self, connector_collector: ConnectorCollector, provenance: Provenance, checkpoint_cache: Optional[ComputationCheckpointCache] = None): - self._checkpoint_cache = checkpoint_cache - self._connector_collector = connector_collector - self._provenance = provenance - self._create_data_types = True - self._traffic_stations: List[TrafficSensorStation] = [] - - def _traffic_stations_from_cache(self) -> List[TrafficSensorStation]: - if len(self._traffic_stations) == 0: - logger.info("Retrieving station list from ODH") - self._traffic_stations = self._get_station_list() - return self._traffic_stations - - def _get_station_list(self) -> List[TrafficSensorStation]: - """ - Retrieve the list of all the available stations. - """ - return self._connector_collector.traffic.get_station_list() - - def _get_latest_pollution_measure(self, traffic_station: TrafficSensorStation) -> Optional[PollutionMeasure]: - """ - Retrieve the latest pollution measure for a given station. It will be the oldest one among all the measure types - (CO-emissions, CO2-emissions, ...) even though should be the same for all the types. - - :param traffic_station: The station for which retrieve the latest pollution measure. - :return: The latest pollution measure for a given station. - """ - latest_pollution_measures = self._connector_collector.pollution.get_latest_measures(traffic_station) - if latest_pollution_measures: - self._create_data_types = False - latest_pollution_measures.sort(key=lambda x: x.valid_time) - return latest_pollution_measures[0] - - def _get_starting_date_for_station(self, traffic_station: TrafficSensorStation, min_from_date: datetime) -> datetime: - latest_pollution_measure = self._get_latest_pollution_measure(traffic_station) - if latest_pollution_measure is None: - if self._checkpoint_cache is not None: - checkpoint = self._checkpoint_cache.get(ComputationCheckpoint.get_id_for_station(traffic_station)) - if checkpoint is not None: - from_date = checkpoint.checkpoint_dt - else: - from_date = min_from_date # If there isn't any latest pollution measure available, the min_from_date is used as starting date for the batch - else: - from_date = min_from_date # If there isn't any latest pollution measure available, the min_from_date is used as starting date for the batch - else: - from_date = latest_pollution_measure.valid_time - - if from_date.tzinfo is None: - from_date = DEFAULT_TIMEZONE.localize(from_date) - - if from_date.microsecond: - from_date = from_date.replace(microsecond=0) - - return from_date - - def _get_latest_date_for_station(self, traffic_station: TrafficSensorStation) -> datetime: - measures = self._connector_collector.traffic.get_latest_measures(station=traffic_station) - return max(list(map(lambda m: m.valid_time, measures)), default=ODH_MINIMUM_STARTING_DATE) - - - def _download_traffic_data(self, - from_date: datetime, - to_date: datetime, - traffic_station: TrafficSensorStation - ) -> TrafficMeasureCollection: - """ - Download traffic data measures in the given interval. - - :param from_date: Traffic measures before this date are discarded if there isn't any latest pollution measure available. - :param to_date: Traffic measure after this date are discarded. - :return: The resulting TrafficMeasureCollection containing the traffic data. - """ - - return TrafficMeasureCollection(measures=self._connector_collector.traffic.get_measures(from_date=from_date, to_date=to_date, station=traffic_station)) - - @staticmethod - def _compute_pollution_data(traffic_data: TrafficMeasureCollection) -> List[PollutionEntry]: - """ - Compute the pollution data given the traffic data. - - :param traffic_data: The traffic data. - :return: The pollution entries. - """ - model = PollutionComputationModel() - return model.compute_pollution_data(traffic_data) - - def _upload_pollution_data(self, pollution_entries: List[PollutionEntry]) -> None: # If a data is already present it will be not overridden and data before the last measures are not accepted by the ODH - """ - Upload the pollution data on ODH. - - :param pollution_entries: The pollution entries. - """ - if not self._provenance.provenance_id: - self._provenance.provenance_id = self._connector_collector.pollution.post_provenance(self._provenance) - - if self._create_data_types: - self._connector_collector.pollution.post_data_types(PollutionMeasure.get_pollution_data_types(), self._provenance) - - pollution_data = PollutionMeasureCollection.build_from_pollution_entries(pollution_entries, self._provenance) - - self._connector_collector.pollution.post_measures(pollution_data.measures) - - def _run_computation_for_station(self, - traffic_station: TrafficSensorStation, - min_from_date: datetime, - max_to_date: datetime): - - start_date = self._get_starting_date_for_station(traffic_station, min_from_date) - - # Detect inactive stations: - # If we're about to request more than one window of measurements, do a check first if there even is any new data - if (max_to_date - start_date).days > ODH_COMPUTATION_BATCH_SIZE: - latest_measurement_date = self._get_latest_date_for_station(traffic_station) - # traffic data request range end is the latest measurement - # For inactive stations, this latest measurement date will be < start_date, thus no further requests will be made - # In general, it makes no sense to ask for data beyond the latest measurement, if we already know which date that is. - logger.info(f"Station [{traffic_station.code}] has a large elaboration range. Latest measurement date: {latest_measurement_date}") - max_to_date = min(max_to_date, latest_measurement_date) - - to_date = start_date - - while start_date < max_to_date: - to_date = to_date + timedelta(days=ODH_COMPUTATION_BATCH_SIZE) - if to_date > max_to_date: - to_date = max_to_date - - logger.info(f"Computing pollution data for station [{traffic_station}] in interval [{start_date.isoformat()} - {to_date.isoformat()}]") - - traffic_data = [] - try: - traffic_data = self._download_traffic_data(start_date, to_date, traffic_station) - except Exception as e: - logger.exception( - f"Unable to download traffic data for station [{traffic_station}] in the interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", - exc_info=e) - - if traffic_data: - try: - pollution_entries = self._compute_pollution_data(traffic_data) - self._upload_pollution_data(pollution_entries) - except Exception as e: - logger.exception(f"Unable to compute data from station [{traffic_station}] in the interval [{start_date.isoformat()}] - [{to_date.isoformat()}]", exc_info=e) - - if self._checkpoint_cache is not None: - self._checkpoint_cache.set( - ComputationCheckpoint( - station_code=traffic_station.code, - checkpoint_dt=to_date - ) - ) - - start_date = to_date - - def run_computation_and_upload_results(self, - min_from_date: datetime, - max_to_date: datetime - ) -> None: - """ - Start the computation of a batch of pollution data measures. As starting date for the batch is used the latest - pollution measure available on the ODH, if no pollution measures are available min_from_date is used. - - :param min_from_date: Traffic measures before this date are discarded if no pollution measures are available. - :param max_to_date: Traffic measure after this date are discarded. - """ - - if min_from_date.tzinfo is None: - min_from_date = DEFAULT_TIMEZONE.localize(min_from_date) - - if max_to_date.tzinfo is None: - max_to_date = DEFAULT_TIMEZONE.localize(max_to_date) - - computation_start_dt = datetime.now() - - for traffic_station in self._traffic_stations_from_cache(): - self._run_computation_for_station(traffic_station, min_from_date, max_to_date) - - computation_end_dt = datetime.now() - logger.info(f"Completed computation in [{(computation_end_dt - computation_start_dt).seconds}]") diff --git a/pollution/test/__init__.py b/pollution/test/__init__.py deleted file mode 100644 index a1097782..00000000 --- a/pollution/test/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution/test/unit/__init__.py b/pollution/test/unit/__init__.py deleted file mode 100644 index a1097782..00000000 --- a/pollution/test/unit/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution/test/unit/test_pollution_connector/__init__.py b/pollution/test/unit/test_pollution_connector/__init__.py deleted file mode 100644 index a1097782..00000000 --- a/pollution/test/unit/test_pollution_connector/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution/test/unit/test_pollution_connector/connector/__init__.py b/pollution/test/unit/test_pollution_connector/connector/__init__.py deleted file mode 100644 index a1097782..00000000 --- a/pollution/test/unit/test_pollution_connector/connector/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution/test/unit/test_pollution_connector/connector/mock_collector.py b/pollution/test/unit/test_pollution_connector/connector/mock_collector.py deleted file mode 100644 index 1b8b5419..00000000 --- a/pollution/test/unit/test_pollution_connector/connector/mock_collector.py +++ /dev/null @@ -1,49 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -from pollution_connector.connector.collector import ConnectorCollector -from pollution_connector.connector.pollution import PollutionODHConnector -from pollution_connector.connector.traffic import TrafficODHConnector - - -class MockConnectorCollector(ConnectorCollector): - - @staticmethod - def build() -> MockConnectorCollector: - return MockConnectorCollector( - traffic=TrafficODHConnector( - base_reader_url="", - base_writer_url="", - authentication_url="", - username="", - password="", - client_id="", - client_secret="", - grant_type=[""], - pagination_size=1, - max_post_batch_size=1, - requests_timeout=1, - requests_max_retries=1, - requests_sleep_time=1, - requests_retry_sleep_time=1 - ), - pollution=PollutionODHConnector( - base_reader_url="", - base_writer_url="", - authentication_url="", - username="", - password="", - client_id="", - client_secret="", - grant_type=[""], - pagination_size=1, - max_post_batch_size=1, - requests_timeout=1, - requests_max_retries=1, - requests_sleep_time=1, - requests_retry_sleep_time=1 - ) - ) diff --git a/pollution/test/unit/test_pollution_connector/connector/test_pollution.py b/pollution/test/unit/test_pollution_connector/connector/test_pollution.py deleted file mode 100644 index 7ff1f018..00000000 --- a/pollution/test/unit/test_pollution_connector/connector/test_pollution.py +++ /dev/null @@ -1,85 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -import datetime -from unittest import TestCase -from unittest.mock import patch, Mock, call - -from requests import Response - -from pollution_connector.connector.common import Token, ApiException, MaximumRetryExceeded -from pollution_connector.connector.pollution import PollutionODHConnector - - -class TestPollutionODHConnector(TestCase): - - def setUp(self) -> None: - super().setUp() - self.connector = PollutionODHConnector( - base_reader_url="", - base_writer_url="", - authentication_url="", - username="", - password="", - client_id="", - client_secret="", - grant_type=[""], - pagination_size=1, - max_post_batch_size=1, - requests_timeout=1, - requests_max_retries=1, - requests_sleep_time=1, - requests_retry_sleep_time=1 - ) - self.connector._get_token = Mock(return_value=Token(access_token="", - expires_in=1, - refresh_expires_in=1, - refresh_token="", - token_type="", - not_before_policy="", - session_state="", - scope=[""], - created_at=datetime.datetime.now())) - - def test_post_request(self): - with patch("requests.post") as request_post_mock: - response = Response() - response.status_code = 201 - response._content = b"" - request_post_mock.return_value = response - self.assertEqual("", self.connector._post_request("path", {})) - - def test_post_request_api_exception(self): - with patch("requests.post") as request_post_mock: - response = Response() - response.status_code = 400 - response._content = b"" - request_post_mock.return_value = response - with self.assertRaises(ApiException): - self.connector._post_request("path", {}) - - def test_post_request_exception(self): - with patch("requests.post") as request_post_mock: - request_post_mock.side_effect = Exception() - with self.assertRaises(MaximumRetryExceeded): - self.connector._post_request("path", {}) - - request_post_mock.assert_has_calls([call("path", - json={}, - headers={ - "Content-Type": "application/json", - "Authorization": "bearer " - }, - params={}, - timeout=1), - call("path", - json={}, - headers={ - "Content-Type": "application/json", - "Authorization": "bearer " - }, - params={}, - timeout=1)]) diff --git a/pollution/test/unit/test_pollution_connector/connector/test_traffic.py b/pollution/test/unit/test_pollution_connector/connector/test_traffic.py deleted file mode 100644 index 12e7df7e..00000000 --- a/pollution/test/unit/test_pollution_connector/connector/test_traffic.py +++ /dev/null @@ -1,83 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -import datetime -from unittest import TestCase -from unittest.mock import patch, Mock, call - -from requests import Response - -from pollution_connector.connector.common import Token, ApiException, MaximumRetryExceeded -from pollution_connector.connector.traffic import TrafficODHConnector - - -class TestTrafficODHConnector(TestCase): - - def setUp(self) -> None: - super().setUp() - self.connector = TrafficODHConnector( - base_reader_url="", - base_writer_url="", - authentication_url="", - username="", - password="", - client_id="", - client_secret="", - grant_type=[""], - pagination_size=1, - max_post_batch_size=1, - requests_timeout=1, - requests_max_retries=1, - requests_sleep_time=1, - requests_retry_sleep_time=1 - ) - self.connector._get_token = Mock(return_value=Token(access_token="", - expires_in=1, - refresh_expires_in=1, - refresh_token="", - token_type="", - not_before_policy="", - session_state="", - scope=[""], - created_at=datetime.datetime.now())) - - def test_get_request(self): - with patch("requests.get") as request_get_mock: - response = Response() - response.status_code = 200 - response.json = Mock(return_value={}) - request_get_mock.return_value = response - self.assertEqual({}, self.connector._get_request("path")) - - def test_get_request_api_exception(self): - with patch("requests.get") as request_get_mock: - response = Response() - response.status_code = 400 - response._content = b"" - request_get_mock.return_value = response - with self.assertRaises(ApiException): - self.connector._get_request("path") - - def test_get_request_exception(self): - with patch("requests.get") as request_get_mock: - request_get_mock.side_effect = Exception() - with self.assertRaises(MaximumRetryExceeded): - self.connector._get_request("path") - - request_get_mock.assert_has_calls([call("path", - headers={ - "Content-Type": "application/json", - "Authorization": "bearer " - }, - params={}, - timeout=1), - call("path", - headers={ - "Content-Type": "application/json", - "Authorization": "bearer " - }, - params={}, - timeout=1)]) diff --git a/pollution/test/unit/test_pollution_connector/data_model/__init__.py b/pollution/test/unit/test_pollution_connector/data_model/__init__.py deleted file mode 100644 index a1097782..00000000 --- a/pollution/test/unit/test_pollution_connector/data_model/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution/test/unit/test_pollution_connector/data_model/generator.py b/pollution/test/unit/test_pollution_connector/data_model/generator.py deleted file mode 100644 index 55246c6c..00000000 --- a/pollution/test/unit/test_pollution_connector/data_model/generator.py +++ /dev/null @@ -1,83 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -import random -from datetime import datetime -from typing import Optional - -from pollution_connector.data_model.common import DataType, Provenance -from pollution_connector.data_model.traffic import TrafficSensorStation, TrafficMeasure - - -class Generator: - - @staticmethod - def generate_traffic_station(code: Optional[str] = None) -> TrafficSensorStation: - if code is None: - code = f"A22:{random.randint(1, 100)}:{random.randint(1, 6)}" - return TrafficSensorStation( - code=code, - active=True, - available=True, - coordinates={ - "x": random.randint(0, 100), - "y": random.randint(0, 100) - }, - metadata={}, - name=f"station {random.randint(1, 100)}", - station_type="TrafficSensor", - origin="A22" - ) - - @staticmethod - def generate_datatype() -> DataType: - name = random.choice(["Nr. Buses", "Nr. Heavy Vehicles", "Nr. Light Vehicles", "Average Speed Buses", "Average Speed Heavy Vehicles", "Average Speed Light Vehicles"]) - return DataType( - name=name, - description=name, - data_type="Mean", - unit="km/h" if "Speed" in name else "", - metadata={} - ) - - @staticmethod - def generate_provenance() -> Provenance: - return Provenance( - provenance_id="provenance_id", - lineage="lineage", - data_collector="data_collector", - data_collector_version="data_collector_version" - ) - - @staticmethod - def generate_traffic_measure( - station: Optional[TrafficSensorStation] = None, - data_type: Optional[DataType] = None, - transaction_time: Optional[datetime] = None, - valid_time: Optional[datetime] = None, - provenance: Optional[Provenance] = None - ) -> TrafficMeasure: - - if not station: - station = Generator.generate_traffic_station(), - if not data_type: - data_type = Generator.generate_datatype() - if not transaction_time: - transaction_time = datetime.now() - if not valid_time: - valid_time = datetime.now() - if not provenance: - provenance = Generator.generate_provenance() - - return TrafficMeasure( - station=station, - data_type=data_type, - provenance=provenance, - period=random.randint(0, 600), - transaction_time=transaction_time, - valid_time=valid_time, - value=random.randint(0, 200) - ) diff --git a/pollution/test/unit/test_pollution_connector/data_model/test_common.py b/pollution/test/unit/test_pollution_connector/data_model/test_common.py deleted file mode 100644 index d55cb611..00000000 --- a/pollution/test/unit/test_pollution_connector/data_model/test_common.py +++ /dev/null @@ -1,141 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -from datetime import datetime -from unittest import TestCase - -from dateutil.tz import tzutc - -from pollution_connector.data_model.common import DataType, Station, Measure, Provenance - - -class TestDataType(TestCase): - - def test_from_odh_repr(self): - raw_data = { - "tdescription": "Average Speed Buses", - "tmetadata": {}, - "tname": "Average Speed Buses", - "ttype": "Mean", - "tunit": "km/h", - } - - expected_result = DataType( - name="Average Speed Buses", - description="Average Speed Buses", - data_type="Mean", - unit="km/h", - metadata={} - ) - - data_type = DataType.from_odh_repr(raw_data) - self.assertIsInstance(data_type, DataType) - self.assertEqual(expected_result, data_type) - - -class TestStation(TestCase): - - def test_from_odh_repr(self): - raw_data = { - "sactive": False, - "savailable": True, - "scode": "A22:682:1", - "scoordinate": { - "x": 10, - "y": 20, - }, - "smetadata": {}, - "sname": "Test station", - "sorigin": "A22", - "stype": "TrafficSensor" - } - - expected_result = Station( - code="A22:682:1", - active=False, - available=True, - coordinates={ - "x": 10, - "y": 20, - }, - metadata={}, - name="Test station", - station_type="TrafficSensor", - origin="A22" - ) - - station = Station.from_odh_repr(raw_data) - - self.assertIsInstance(station, Station) - self.assertEqual(expected_result, station) - - -class TestMeasure(TestCase): - - def test_from_odh_repr(self): - raw_data = { - "tdescription": "Average Speed Buses", - "tmetadata": {}, - "tname": "Average Speed Buses", - "ttype": "Mean", - "tunit": "km/h", - "mperiod": 600, - "mtransactiontime": "2019-12-13 12:08:14.309+0000", - "mvalidtime": "2020-02-12 00:00:00.000+0000", - "mvalue": 80, - "prlineage": "A22", - "prname": "dc-trafficelaborations-a22", - "prversion": "1.0.2", - "sactive": False, - "savailable": True, - "scode": "A22:682:1", - "scoordinate": { - "x": 10, - "y": 20 - }, - "smetadata": {}, - "sname": "Test station", - "sorigin": "A22", - "stype": "TrafficSensor" - } - - expected_result = Measure( - station=Station( - code="A22:682:1", - active=False, - available=True, - coordinates={ - "x": 10, - "y": 20, - }, - metadata={}, - name="Test station", - station_type="TrafficSensor", - origin="A22" - ), - data_type=DataType( - name="Average Speed Buses", - description="Average Speed Buses", - data_type="Mean", - unit="km/h", - metadata={} - ), - provenance=Provenance( - provenance_id=None, - lineage="A22", - data_collector="dc-trafficelaborations-a22", - data_collector_version="1.0.2" - ), - period=600, - transaction_time=datetime(2019, 12, 13, 12, 8, 14, 309000, tzinfo=tzutc()), - valid_time=datetime(2020, 2, 12, 0, 0, tzinfo=tzutc()), - value=80 - ) - - measure = Measure.from_odh_repr(raw_data) - - self.assertIsInstance(measure, Measure) - self.assertEqual(expected_result, measure) diff --git a/pollution/test/unit/test_pollution_connector/data_model/test_traffic.py b/pollution/test/unit/test_pollution_connector/data_model/test_traffic.py deleted file mode 100644 index 9b5fe762..00000000 --- a/pollution/test/unit/test_pollution_connector/data_model/test_traffic.py +++ /dev/null @@ -1,320 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -from datetime import datetime -from typing import List -from unittest import TestCase - -from dateutil.tz import tzutc - -from pollution_connector.data_model.common import DataType, VehicleClass, Provenance -from pollution_connector.data_model.traffic import TrafficSensorStation, TrafficMeasure, TrafficMeasureCollection -from test.unit.test_pollution_connector.data_model.generator import Generator - - -class TestTrafficSensorStation(TestCase): - - def setUp(self) -> None: - super().setUp() - self.station = TrafficSensorStation( - code="A22:12:1", - active=True, - available=True, - coordinates={ - "x": 1, - "y": 1 - }, - metadata={}, - name="station 12", - station_type="TrafficSensor", - origin="A22" - ) - - def test_split_station_code(self): - self.assertEqual(("A22", 12, 1), self.station.split_station_code()) - - def test_id_strada(self): - self.assertEqual("A22", self.station.id_strada) - - def test_id_stazione(self): - self.assertEqual(12, self.station.id_stazione) - - def test_id_corsia(self): - self.assertEqual(1, self.station.id_corsia) - - -class TestTrafficMeasure(TestCase): - - def setUp(self) -> None: - super().setUp() - - self.station = TrafficSensorStation( - code="A22:12:1", - active=True, - available=True, - coordinates={ - "x": 1, - "y": 1 - }, - metadata={}, - name="station 12", - station_type="TrafficSensor", - origin="A22" - ) - - self.nr_busses_data_type = DataType( - name="Nr. Buses", - description="Nr. Buses", - data_type="Mean", - unit="", - metadata={} - ) - - self.speed_busses_data_type = DataType( - name="Average Speed Buses", - description="Average Speed Buses", - data_type="Mean", - unit="km/h", - metadata={} - ) - - self.nr_heavy_data_type = DataType( - name="Nr. Heavy Vehicles", - description="Nr. Heavy Vehicles", - data_type="Mean", - unit="", - metadata={} - ) - - self.speed_heavy_data_type = DataType( - name="Average Speed Heavy Vehicles", - description="Average Speed Heavy Vehicles", - data_type="Mean", - unit="km/h", - metadata={} - ) - - self.nr_light_data_type = DataType( - name="Nr. Light Vehicles", - description="Nr. Light Vehicles", - data_type="Mean", - unit="", - metadata={} - ) - - self.speed_light_data_type = DataType( - name="Average Speed Light Vehicles", - description="Average Speed Light Vehicles", - data_type="Mean", - unit="km/h", - metadata={} - ) - - self.heavy_speed_measure = Generator.generate_traffic_measure(self.station, self.speed_heavy_data_type) - self.light_speed_measure = Generator.generate_traffic_measure(self.station, self.speed_light_data_type) - self.busses_speed_measure = Generator.generate_traffic_measure(self.station, self.speed_busses_data_type) - self.heavy_number_measure = Generator.generate_traffic_measure(self.station, self.nr_heavy_data_type) - self.light_number_measure = Generator.generate_traffic_measure(self.station, self.nr_light_data_type) - self.busses_number_measure = Generator.generate_traffic_measure(self.station, self.nr_busses_data_type) - - def test_vehicle_class(self): - self.assertEqual(self.heavy_speed_measure.vehicle_class, VehicleClass.HEAVY_VEHICLES) - self.assertEqual(self.heavy_number_measure.vehicle_class, VehicleClass.HEAVY_VEHICLES) - self.assertEqual(self.light_number_measure.vehicle_class, VehicleClass.LIGHT_VEHICLES) - self.assertEqual(self.light_speed_measure.vehicle_class, VehicleClass.LIGHT_VEHICLES) - self.assertEqual(self.busses_number_measure.vehicle_class, VehicleClass.BUSES) - self.assertEqual(self.busses_speed_measure.vehicle_class, VehicleClass.BUSES) - - def test_is_vehicle_counting_measure(self): - self.assertTrue(self.heavy_number_measure.is_vehicle_counting_measure) - self.assertTrue(self.light_number_measure.is_vehicle_counting_measure) - self.assertTrue(self.busses_number_measure.is_vehicle_counting_measure) - self.assertFalse(self.heavy_speed_measure.is_vehicle_counting_measure) - self.assertFalse(self.light_speed_measure.is_vehicle_counting_measure) - self.assertFalse(self.busses_speed_measure.is_vehicle_counting_measure) - - def test_is_average_speed_measure_measure(self): - self.assertFalse(self.heavy_number_measure.is_average_speed_measure) - self.assertFalse(self.light_number_measure.is_average_speed_measure) - self.assertFalse(self.busses_number_measure.is_average_speed_measure) - self.assertTrue(self.heavy_speed_measure.is_average_speed_measure) - self.assertTrue(self.light_speed_measure.is_average_speed_measure) - self.assertTrue(self.busses_speed_measure.is_average_speed_measure) - - def test_from_odh_repr(self): - raw_data = { - "tdescription": "Average Speed Buses", - "tmetadata": {}, - "tname": "Average Speed Buses", - "ttype": "Mean", - "tunit": "km/h", - "mperiod": 600, - "mtransactiontime": "2019-12-13 12:08:14.309+0000", - "mvalidtime": "2020-02-12 00:00:00.000+0000", - "mvalue": 80, - "prlineage": "A22", - "prname": "dc-trafficelaborations-a22", - "prversion": "1.0.2", - "sactive": False, - "savailable": True, - "scode": "A22:682:1", - "scoordinate": { - "x": 10, - "y": 20 - }, - "smetadata": {}, - "sname": "Test station", - "sorigin": "A22", - "stype": "TrafficSensor" - } - - expected_result = TrafficMeasure( - station=TrafficSensorStation( - code="A22:682:1", - active=False, - available=True, - coordinates={ - "x": 10, - "y": 20, - }, - metadata={}, - name="Test station", - station_type="TrafficSensor", - origin="A22" - ), - data_type=DataType( - name="Average Speed Buses", - description="Average Speed Buses", - data_type="Mean", - unit="km/h", - metadata={} - ), - provenance=Provenance( - provenance_id=None, - lineage="A22", - data_collector="dc-trafficelaborations-a22", - data_collector_version="1.0.2" - ), - period=600, - transaction_time=datetime(2019, 12, 13, 12, 8, 14, 309000, tzinfo=tzutc()), - valid_time=datetime(2020, 2, 12, 0, 0, tzinfo=tzutc()), - value=80 - ) - - measure = TrafficMeasure.from_odh_repr(raw_data) - - self.assertIsInstance(measure, TrafficMeasure) - self.assertEqual(expected_result, measure) - - -class TestTrafficMeasureCollection(TestCase): - - def setUp(self) -> None: - super().setUp() - - self.station = TrafficSensorStation( - code="A22:12:1", - active=True, - available=True, - coordinates={ - "x": 1, - "y": 1 - }, - metadata={}, - name="station 12", - station_type="TrafficSensor", - origin="A22" - ) - - self.nr_busses_data_type = DataType( - name="Nr. Buses", - description="Nr. Buses", - data_type="Mean", - unit="", - metadata={} - ) - - self.speed_busses_data_type = DataType( - name="Average Speed Buses", - description="Average Speed Buses", - data_type="Mean", - unit="km/h", - metadata={} - ) - - self.nr_heavy_data_type = DataType( - name="Nr. Heavy Vehicles", - description="Nr. Heavy Vehicles", - data_type="Mean", - unit="", - metadata={} - ) - - self.speed_heavy_data_type = DataType( - name="Average Speed Heavy Vehicles", - description="Average Speed Heavy Vehicles", - data_type="Mean", - unit="km/h", - metadata={} - ) - - self.nr_light_data_type = DataType( - name="Nr. Light Vehicles", - description="Nr. Light Vehicles", - data_type="Mean", - unit="", - metadata={} - ) - - self.speed_light_data_type = DataType( - name="Average Speed Light Vehicles", - description="Average Speed Light Vehicles", - data_type="Mean", - unit="km/h", - metadata={} - ) - - def _generate_traffic_measures(self, number: int) -> List[TrafficMeasure]: - result = [] - for _ in range(number): - station = Generator.generate_traffic_station() - valid_time = datetime.now() - transaction_time = datetime.now() - result.append(Generator.generate_traffic_measure(station, self.speed_busses_data_type, transaction_time, valid_time)) - result.append(Generator.generate_traffic_measure(station, self.speed_heavy_data_type, transaction_time, valid_time)) - result.append(Generator.generate_traffic_measure(station, self.speed_light_data_type, transaction_time, valid_time)) - result.append(Generator.generate_traffic_measure(station, self.nr_busses_data_type, transaction_time, valid_time)) - result.append(Generator.generate_traffic_measure(station, self.nr_light_data_type, transaction_time, valid_time)) - result.append(Generator.generate_traffic_measure(station, self.nr_heavy_data_type, transaction_time, valid_time)) - - return result - - def test_get_traffic_entries(self): - - measures = self._generate_traffic_measures(10) - collection = TrafficMeasureCollection() - collection.with_measures(measures) - - entries = list(collection.get_traffic_entries()) - - self.assertEqual(30, len(entries)) - for entry in entries: - self.assertIsNotNone(entry.average_speed) - self.assertIsNotNone(entry.nr_of_vehicles) - - def test_duplicated_entry(self): - station = Generator.generate_traffic_station() - valid_time = datetime.now() - transaction_time = datetime.now() - measures = [ - Generator.generate_traffic_measure(station, self.speed_busses_data_type, transaction_time, valid_time), - Generator.generate_traffic_measure(station, self.speed_busses_data_type, transaction_time, valid_time), - ] - collection = TrafficMeasureCollection() - collection.with_measures(measures) - - with self.assertRaises(ValueError): - list(collection.get_traffic_entries()) diff --git a/pollution/test/unit/test_pollution_connector/pollution_computation_model/__init__.py b/pollution/test/unit/test_pollution_connector/pollution_computation_model/__init__.py deleted file mode 100644 index a1097782..00000000 --- a/pollution/test/unit/test_pollution_connector/pollution_computation_model/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution/test/unit/test_pollution_connector/pollution_computation_model/test_pollution_computation_model.py b/pollution/test/unit/test_pollution_connector/pollution_computation_model/test_pollution_computation_model.py deleted file mode 100644 index 661c2bfe..00000000 --- a/pollution/test/unit/test_pollution_connector/pollution_computation_model/test_pollution_computation_model.py +++ /dev/null @@ -1,16 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -from unittest import TestCase - - -class TestPollutionComputationModel(TestCase): - - def setUp(self) -> None: - super().setUp() - - def test_compute_pollution_data(self): - pass diff --git a/pollution/test/unit/test_pollution_connector/tasks/__init__.py b/pollution/test/unit/test_pollution_connector/tasks/__init__.py deleted file mode 100644 index a1097782..00000000 --- a/pollution/test/unit/test_pollution_connector/tasks/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later diff --git a/pollution/test/unit/test_pollution_connector/tasks/test_pollution_computation.py b/pollution/test/unit/test_pollution_connector/tasks/test_pollution_computation.py deleted file mode 100644 index 0645d074..00000000 --- a/pollution/test/unit/test_pollution_connector/tasks/test_pollution_computation.py +++ /dev/null @@ -1,70 +0,0 @@ -# SPDX-FileCopyrightText: NOI Techpark -# -# SPDX-License-Identifier: AGPL-3.0-or-later - -from __future__ import absolute_import, annotations - -import datetime -from unittest import TestCase -from unittest.mock import patch, Mock - -from pollution_connector.data_model.common import Provenance, DataType -from pollution_connector.data_model.pollution import PollutionMeasure -from pollution_connector.settings import DEFAULT_TIMEZONE -from pollution_connector.tasks.pollution_computation import PollutionComputationManager -from test.unit.test_pollution_connector.connector.mock_collector import MockConnectorCollector -from test.unit.test_pollution_connector.data_model.generator import Generator - - -class TestPollutionComputationManager(TestCase): - - def setUp(self) -> None: - super().setUp() - self.station = Generator.generate_traffic_station(code="A22:678:1") - self.station1 = Generator.generate_traffic_station() - self.traffic_measure = Generator.generate_traffic_measure(station=self.station) - self.traffic_measure1 = Generator.generate_traffic_measure(station=self.station1) - self.mock_connector_collector = MockConnectorCollector.build() - self.pollution_computation_manager = PollutionComputationManager(self.mock_connector_collector, Provenance("id", "lineage", "name", "version")) - - def test_run_computation_and_upload_results(self): - with patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._get_station_list") as station_list_mock: - station_list_mock.return_value = [self.station] - with patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._get_latest_pollution_measure") as latest_pollution_measure_mock: - latest_pollution_measure_mock.return_value = None - with patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._upload_pollution_data") as upload_pollution_data_mock: - upload_pollution_data_mock.return_value = None - valid_time = datetime.datetime.now() - traffic_measure = Generator.generate_traffic_measure(station=self.station, valid_time=valid_time, data_type=DataType(name="Average Speed Buses", description="", data_type="Mean", unit="km/h", metadata={})) - traffic_measure1 = Generator.generate_traffic_measure(station=self.station, valid_time=valid_time, data_type=DataType(name="Nr. Buses", description="", data_type="Mean", unit="", metadata={})) - self.mock_connector_collector.traffic.get_measures = Mock(return_value=[traffic_measure1, traffic_measure]) - self.pollution_computation_manager.run_computation_and_upload_results(min_from_date=datetime.datetime(2020, 1, 1), - max_to_date=datetime.datetime(2020, 1, 2)) - station_list_mock.assert_called_once() - latest_pollution_measure_mock.assert_called_once_with(self.station) - upload_pollution_data_mock.assert_called_once() - self.mock_connector_collector.traffic.get_measures.assert_called_once_with(from_date=DEFAULT_TIMEZONE.localize(datetime.datetime(2020, 1, 1)), to_date=DEFAULT_TIMEZONE.localize(datetime.datetime(2020, 1, 2)), station=self.station) - - def test_run_computation_and_upload_results_with_measure(self): - with patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._get_station_list") as station_list_mock: - station_list_mock.return_value = [self.station] - with patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._get_latest_pollution_measure") as latest_pollution_measure_mock: - latest_pollution_measure_mock.return_value = PollutionMeasure(station=self.station, - data_type=self.traffic_measure.data_type, - provenance=self.traffic_measure.provenance, - valid_time=DEFAULT_TIMEZONE.localize(datetime.datetime(2020, 1, 1, hour=1, minute=1)), - transaction_time=DEFAULT_TIMEZONE.localize(datetime.datetime(2020, 1, 1, hour=1, minute=1)), - value=3, - period=self.traffic_measure.period) - with patch("pollution_connector.tasks.pollution_computation.PollutionComputationManager._upload_pollution_data") as upload_pollution_data_mock: - upload_pollution_data_mock.return_value = None - valid_time = datetime.datetime.now() - traffic_measure = Generator.generate_traffic_measure(station=self.station, valid_time=valid_time, data_type=DataType(name="Average Speed Buses", description="", data_type="Mean", unit="km/h", metadata={})) - traffic_measure1 = Generator.generate_traffic_measure(station=self.station, valid_time=valid_time, data_type=DataType(name="Nr. Buses", description="", data_type="Mean", unit="", metadata={})) - self.mock_connector_collector.traffic.get_measures = Mock(return_value=[traffic_measure1, traffic_measure]) - self.pollution_computation_manager.run_computation_and_upload_results(min_from_date=datetime.datetime(2020, 1, 1), - max_to_date=datetime.datetime(2020, 1, 2)) - station_list_mock.assert_called_once() - latest_pollution_measure_mock.assert_called_once_with(self.station) - upload_pollution_data_mock.assert_called_once() - self.mock_connector_collector.traffic.get_measures.assert_called_once_with(from_date=DEFAULT_TIMEZONE.localize(datetime.datetime(2020, 1, 1, hour=1, minute=1)), to_date=DEFAULT_TIMEZONE.localize(datetime.datetime(2020, 1, 2)), station=self.station) From 3c9566c46e1cb78821a8aa76dc0213fe813548a6 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 11 Sep 2024 11:17:54 +0200 Subject: [PATCH 147/154] pollution-v2: ci/cd: enable prod deploy --- .github/workflows/ci-pollution-v2.yml | 218 +++++++++++++------------- 1 file changed, 109 insertions(+), 109 deletions(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 04b0a51a..48d54528 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -83,8 +83,8 @@ jobs: X_AIRFLOW_WWW_USER_PASSWORD: ${{ secrets.AIRFLOW_WWW_USER_PASSWORD }} X_AIRFLOW_VAR_DATATYPE_PREFIX: '' - X_AIRFLOW_VAR_DAG_POLLUTION_EXECUTION_CRONTAB: 0 5 * * * - X_AIRFLOW_VAR_DAG_VALIDATION_EXECUTION_CRONTAB: 0 3 * * * + X_AIRFLOW_VAR_DAG_POLLUTION_EXECUTION_CRONTAB: 0 4 * * * + X_AIRFLOW_VAR_DAG_VALIDATION_EXECUTION_CRONTAB: 0 2 * * * # username/pass not needed with client_credentials X_AIRFLOW_VAR_ODH_PASSWORD: 'ODH_PASSWORD' @@ -123,110 +123,110 @@ jobs: project-name: ${{ env.PROJECT_NAME }} # Deploy Prod - # deploy-test-pollution-v2: - # runs-on: ubuntu-24.04 - # if: github.ref == 'refs/heads/prod' - # concurrency: deploy-prod-pollution-v2 - # env: - # KEYCLOAK_URL: https://auth.opendatahub.com - # DOCKER_TAG: ${{ github.sha }}-prod - # steps: - # - name: Checkout source code - # uses: noi-techpark/github-actions/checkout@v2 - # - name: Create .env file - # uses: noi-techpark/github-actions/env-file@v2 - # with: - # working-directory: ${{ env.WORKING_DIRECTORY }} - # env: - # # General deployment options - # X_COMPOSE_PROJECT_NAME: ${{ env.PROJECT_NAME }} - # X_DOCKER_IMAGE: ${{ env.DOCKER_IMAGE }} - # X_DOCKER_TAG: ${{ env.DOCKER_TAG }} - # - # X_LOG_LEVEL: INFO - # X_LOG_LEVEL_LIBS: INFO - # - # X_SERVER_PORT: 1098 - # - # X_pollution-v2_TASK_SCHEDULING_MINUTE: "*/10" - # X_pollution-v2_TASK_SCHEDULING_HOUR: "*" - # - # X_ODH_BASE_READER_URL: https://mobility.api.opendatahub.com - # X_ODH_BASE_WRITER_URL: https://share.opendatahub.com - # X_ODH_AUTHENTICATION_URL: ${{ env.KEYCLOAK_URL }}/auth/ - # X_ODH_CLIENT_ID: odh-a22-dataprocessor - # X_ODH_CLIENT_SECRET: ${{ secrets.COMBINED_CLIENT_SECRET_PROD }} - # X_ODH_GRANT_TYPE: client_credentials - # X_ODH_PAGINATION_SIZE: 10000 - # X_ODH_MAX_POST_BATCH_SIZE: 10000 - # X_PROVENANCE_NAME: ${{ env.PROJECT_NAME }} - # X_PROVENANCE_VERSION: ${{ github.sha }} - # - # X_AIRFLOW_PROJ_DIR: /opt/pollution-v2 - # X_AIRFLOW_UID: 5000 - # X_AIRFLOW__CORE__EXECUTOR: CeleryExecutor - # X_AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow - # X_AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://airflow:airflow@postgres/airflow - # X_AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0 - # X_AIRFLOW__CORE__FERNET_KEY: '' - # X_AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true' - # X_AIRFLOW__CORE__LOAD_EXAMPLES: 'false' - # X_AIRFLOW__API__AUTH_BACKENDS: 'airflow.api.auth.backend.basic_auth,airflow.api.auth.backend.session' - # # yamllint disable rule:line-length - # # Use simple http server on scheduler for health checks - # # See https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/logging-monitoring/check-health.html#scheduler-health-check-server - # # yamllint enable rule:line-length - # X_AIRFLOW__SCHEDULER__ENABLE_HEALTH_CHECK: 'true' - # # WARNING: Use _PIP_ADDITIONAL_REQUIREMENTS option ONLY for a quick checks - # # for other purpose (development, test and especially production usage) build/extend Airflow image. - # X__PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-} - # X_AIRFLOW_VAR_ODH_AUTHENTICATION_URL: ${{ env.KEYCLOAK_URL }}/auth/ - # X_AIRFLOW_VAR_ODH_BASE_READER_URL: 'https://mobility.api.opendatahub.com' - # X_AIRFLOW_VAR_ODH_BASE_WRITER_URL: 'https://share.opendatahub.com' - # X_AIRFLOW_VAR_ODH_CLIENT_ID: 'odh-a22-dataprocessor' - # X_AIRFLOW_VAR_ODH_CLIENT_SECRET: ${{ secrets.COMBINED_CLIENT_SECRET_PROD }} - # X_AIRFLOW_VAR_ODH_GRANT_TYPE: client_credentials - # X_AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE: '10000' - # X_AIRFLOW_VAR_ODH_PAGINATION_SIZE: '10000' - # X_AIRFLOW_WWW_USER_USERNAME: ${{ secrets.AIRFLOW_WWW_USER_USERNAME }} - # X_AIRFLOW_WWW_USER_PASSWORD: ${{ secrets.AIRFLOW_WWW_USER_PASSWORD }} - # X_AIRFLOW_VAR_DATATYPE_PREFIX: '' - # - # X_AIRFLOW_VAR_DAG_POLLUTION_EXECUTION_CRONTAB: 0 4 * * * - # X_AIRFLOW_VAR_DAG_VALIDATION_EXECUTION_CRONTAB: 0 2 * * * - # - # # username/pass not needed with client_credentials - # X_AIRFLOW_VAR_ODH_PASSWORD: 'ODH_PASSWORD' - # X_AIRFLOW_VAR_ODH_USERNAME: 'ODH_USERNAME' - # X_AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE: "2017-01-01" - # X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'redis' - # X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 - # X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 3 - # # X_AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 4 - # X_AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 16 - # - # # Currently no logging enabled - # # X_AIRFLOW__CORE__REMOTE_LOGGING: '' - # # X_AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER: '' - # # X_AIRFLOW__CORE__REMOTE_LOG_CONN_ID: '' - # # X_AIRFLOW__CORE__ENCRYPT_S3_LOGS: '' - # # X_AIRFLOW_CONN_MINIO_S3_CONN: '' - # X_NO_PROXY: '*' - # - # - # - name: Build and push images - # uses: noi-techpark/github-actions/docker-build-and-push@v2 - # with: - # working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure - # docker-username: ${{ github.actor }} - # docker-password: ${{ secrets.GITHUB_TOKEN }} - # - # - name: Deploy application - # uses: noi-techpark/github-actions/docker-deploy@v2 - # with: - # working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure/ansible - # hosts: 'prod' - # ssh-private-key: ${{ secrets.SSH_PRIVATE_KEY }} - # docker-username: 'noi-techpark-bot' - # docker-password: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }} - # project-name: ${{ env.PROJECT_NAME }} + deploy-test-pollution-v2: + runs-on: ubuntu-24.04 + if: github.ref == 'refs/heads/prod' + concurrency: deploy-prod-pollution-v2 + env: + KEYCLOAK_URL: https://auth.opendatahub.com + DOCKER_TAG: ${{ github.sha }}-prod + steps: + - name: Checkout source code + uses: noi-techpark/github-actions/checkout@v2 + - name: Create .env file + uses: noi-techpark/github-actions/env-file@v2 + with: + working-directory: ${{ env.WORKING_DIRECTORY }} + env: + # General deployment options + X_COMPOSE_PROJECT_NAME: ${{ env.PROJECT_NAME }} + X_DOCKER_IMAGE: ${{ env.DOCKER_IMAGE }} + X_DOCKER_TAG: ${{ env.DOCKER_TAG }} + + X_LOG_LEVEL: INFO + X_LOG_LEVEL_LIBS: INFO + + X_SERVER_PORT: 1098 + + X_pollution-v2_TASK_SCHEDULING_MINUTE: "*/10" + X_pollution-v2_TASK_SCHEDULING_HOUR: "*" + + X_ODH_BASE_READER_URL: https://mobility.api.opendatahub.com + X_ODH_BASE_WRITER_URL: https://share.opendatahub.com + X_ODH_AUTHENTICATION_URL: ${{ env.KEYCLOAK_URL }}/auth/ + X_ODH_CLIENT_ID: odh-a22-dataprocessor + X_ODH_CLIENT_SECRET: ${{ secrets.COMBINED_CLIENT_SECRET_PROD }} + X_ODH_GRANT_TYPE: client_credentials + X_ODH_PAGINATION_SIZE: 10000 + X_ODH_MAX_POST_BATCH_SIZE: 10000 + X_PROVENANCE_NAME: ${{ env.PROJECT_NAME }} + X_PROVENANCE_VERSION: ${{ github.sha }} + + X_AIRFLOW_PROJ_DIR: /opt/pollution-v2 + X_AIRFLOW_UID: 5000 + X_AIRFLOW__CORE__EXECUTOR: CeleryExecutor + X_AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow + X_AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://airflow:airflow@postgres/airflow + X_AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0 + X_AIRFLOW__CORE__FERNET_KEY: '' + X_AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true' + X_AIRFLOW__CORE__LOAD_EXAMPLES: 'false' + X_AIRFLOW__API__AUTH_BACKENDS: 'airflow.api.auth.backend.basic_auth,airflow.api.auth.backend.session' + # yamllint disable rule:line-length + # Use simple http server on scheduler for health checks + # See https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/logging-monitoring/check-health.html#scheduler-health-check-server + # yamllint enable rule:line-length + X_AIRFLOW__SCHEDULER__ENABLE_HEALTH_CHECK: 'true' + # WARNING: Use _PIP_ADDITIONAL_REQUIREMENTS option ONLY for a quick checks + # for other purpose (development, test and especially production usage) build/extend Airflow image. + X__PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-} + X_AIRFLOW_VAR_ODH_AUTHENTICATION_URL: ${{ env.KEYCLOAK_URL }}/auth/ + X_AIRFLOW_VAR_ODH_BASE_READER_URL: 'https://mobility.api.opendatahub.com' + X_AIRFLOW_VAR_ODH_BASE_WRITER_URL: 'https://share.opendatahub.com' + X_AIRFLOW_VAR_ODH_CLIENT_ID: 'odh-a22-dataprocessor' + X_AIRFLOW_VAR_ODH_CLIENT_SECRET: ${{ secrets.COMBINED_CLIENT_SECRET_PROD }} + X_AIRFLOW_VAR_ODH_GRANT_TYPE: client_credentials + X_AIRFLOW_VAR_ODH_MAX_POST_BATCH_SIZE: '10000' + X_AIRFLOW_VAR_ODH_PAGINATION_SIZE: '10000' + X_AIRFLOW_WWW_USER_USERNAME: ${{ secrets.AIRFLOW_WWW_USER_USERNAME }} + X_AIRFLOW_WWW_USER_PASSWORD: ${{ secrets.AIRFLOW_WWW_USER_PASSWORD }} + X_AIRFLOW_VAR_DATATYPE_PREFIX: '' + + X_AIRFLOW_VAR_DAG_POLLUTION_EXECUTION_CRONTAB: 0 4 * * * + X_AIRFLOW_VAR_DAG_VALIDATION_EXECUTION_CRONTAB: 0 2 * * * + + # username/pass not needed with client_credentials + X_AIRFLOW_VAR_ODH_PASSWORD: 'ODH_PASSWORD' + X_AIRFLOW_VAR_ODH_USERNAME: 'ODH_USERNAME' + X_AIRFLOW_VAR_ODH_MINIMUM_STARTING_DATE: "2017-01-01" + X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_HOST: 'redis' + X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_PORT: 6379 + X_AIRFLOW_VAR_COMPUTATION_CHECKPOINT_REDIS_DB: 3 + # X_AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 4 + X_AIRFLOW__CORE__MAX_ACTIVE_TASKS_PER_DAG: 16 + + # Currently no logging enabled + # X_AIRFLOW__CORE__REMOTE_LOGGING: '' + # X_AIRFLOW__CORE__REMOTE_BASE_LOG_FOLDER: '' + # X_AIRFLOW__CORE__REMOTE_LOG_CONN_ID: '' + # X_AIRFLOW__CORE__ENCRYPT_S3_LOGS: '' + # X_AIRFLOW_CONN_MINIO_S3_CONN: '' + X_NO_PROXY: '*' + + + - name: Build and push images + uses: noi-techpark/github-actions/docker-build-and-push@v2 + with: + working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure + docker-username: ${{ github.actor }} + docker-password: ${{ secrets.GITHUB_TOKEN }} + + - name: Deploy application + uses: noi-techpark/github-actions/docker-deploy@v2 + with: + working-directory: ${{ env.WORKING_DIRECTORY }}/infrastructure/ansible + hosts: 'prod' + ssh-private-key: ${{ secrets.SSH_PRIVATE_KEY }} + docker-username: 'noi-techpark-bot' + docker-password: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }} + project-name: ${{ env.PROJECT_NAME }} From 267a578a633bbc8e1725cd4038b5be435f3bca50 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 11 Sep 2024 11:23:36 +0200 Subject: [PATCH 148/154] pollution-v2: ci/cd: fix prod job name --- .github/workflows/ci-pollution-v2.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 48d54528..9c432a17 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -123,7 +123,7 @@ jobs: project-name: ${{ env.PROJECT_NAME }} # Deploy Prod - deploy-test-pollution-v2: + deploy-prod-pollution-v2: runs-on: ubuntu-24.04 if: github.ref == 'refs/heads/prod' concurrency: deploy-prod-pollution-v2 From 4cc414687dc1e87c5c98805119fe9ec660c05db3 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 11 Sep 2024 14:24:15 +0200 Subject: [PATCH 149/154] pollution v2: ci/cd: fix mobility writer url --- .github/workflows/ci-pollution-v2.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 9c432a17..de3030eb 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -182,7 +182,7 @@ jobs: X__PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-} X_AIRFLOW_VAR_ODH_AUTHENTICATION_URL: ${{ env.KEYCLOAK_URL }}/auth/ X_AIRFLOW_VAR_ODH_BASE_READER_URL: 'https://mobility.api.opendatahub.com' - X_AIRFLOW_VAR_ODH_BASE_WRITER_URL: 'https://share.opendatahub.com' + X_AIRFLOW_VAR_ODH_BASE_WRITER_URL: 'https://mobility.share.opendatahub.com' X_AIRFLOW_VAR_ODH_CLIENT_ID: 'odh-a22-dataprocessor' X_AIRFLOW_VAR_ODH_CLIENT_SECRET: ${{ secrets.COMBINED_CLIENT_SECRET_PROD }} X_AIRFLOW_VAR_ODH_GRANT_TYPE: client_credentials From f8155a28d9acb577d14861f04130b5c520dc8088 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 11 Sep 2024 14:27:03 +0200 Subject: [PATCH 150/154] pollution v2: ci/cd: use different project name for test/prod to host on same server --- .github/workflows/ci-pollution-v2.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index de3030eb..98819e1b 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -9,7 +9,6 @@ on: env: WORKING_DIRECTORY: pollution_v2 - PROJECT_NAME: odh-mobility-el-pollution-v2 DOCKER_IMAGE: ghcr.io/${{ github.repository }}/odh-mobility-el-pollution-v2 jobs: @@ -21,6 +20,7 @@ jobs: env: KEYCLOAK_URL: https://auth.opendatahub.testingmachine.eu DOCKER_TAG: ${{ github.sha }}-test + PROJECT_NAME: odh-mobility-el-pollution-v2-test steps: - name: Checkout source code uses: noi-techpark/github-actions/checkout@v2 @@ -130,6 +130,7 @@ jobs: env: KEYCLOAK_URL: https://auth.opendatahub.com DOCKER_TAG: ${{ github.sha }}-prod + PROJECT_NAME: odh-mobility-el-pollution-v2-prod steps: - name: Checkout source code uses: noi-techpark/github-actions/checkout@v2 From 2c9eb98c3ad86491263a02f43db7cbd0c2d427f9 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 11 Sep 2024 14:48:55 +0200 Subject: [PATCH 151/154] pollution v2: ci/cd: fix mobility writer url | 2 --- .github/workflows/ci-pollution-v2.yml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 98819e1b..9441123a 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -9,7 +9,6 @@ on: env: WORKING_DIRECTORY: pollution_v2 - DOCKER_IMAGE: ghcr.io/${{ github.repository }}/odh-mobility-el-pollution-v2 jobs: # Deploy Test @@ -153,7 +152,7 @@ jobs: X_pollution-v2_TASK_SCHEDULING_HOUR: "*" X_ODH_BASE_READER_URL: https://mobility.api.opendatahub.com - X_ODH_BASE_WRITER_URL: https://share.opendatahub.com + X_ODH_BASE_WRITER_URL: 'https://mobility.share.opendatahub.com' X_ODH_AUTHENTICATION_URL: ${{ env.KEYCLOAK_URL }}/auth/ X_ODH_CLIENT_ID: odh-a22-dataprocessor X_ODH_CLIENT_SECRET: ${{ secrets.COMBINED_CLIENT_SECRET_PROD }} From 1359543122951f4719cb1510f0982abde7373e7b Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 11 Sep 2024 14:51:25 +0200 Subject: [PATCH 152/154] pollution v2: ci/cd: fix docker image name --- .github/workflows/ci-pollution-v2.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 9441123a..3c9c69cf 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -18,6 +18,7 @@ jobs: concurrency: deploy-test-pollution-v2 env: KEYCLOAK_URL: https://auth.opendatahub.testingmachine.eu + DOCKER_IMAGE: ghcr.io/${{ github.repository }}/odh-mobility-el-pollution-v2-test DOCKER_TAG: ${{ github.sha }}-test PROJECT_NAME: odh-mobility-el-pollution-v2-test steps: @@ -128,6 +129,7 @@ jobs: concurrency: deploy-prod-pollution-v2 env: KEYCLOAK_URL: https://auth.opendatahub.com + DOCKER_IMAGE: ghcr.io/${{ github.repository }}/odh-mobility-el-pollution-v2-prod DOCKER_TAG: ${{ github.sha }}-prod PROJECT_NAME: odh-mobility-el-pollution-v2-prod steps: From 36818532cdd96805247ba678de1a835d7571a776 Mon Sep 17 00:00:00 2001 From: Simon Dalvai Date: Wed, 11 Sep 2024 15:28:53 +0200 Subject: [PATCH 153/154] pollution v2: ci/cd: fix provenance name --- .github/workflows/ci-pollution-v2.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/ci-pollution-v2.yml b/.github/workflows/ci-pollution-v2.yml index 3c9c69cf..82e88978 100644 --- a/.github/workflows/ci-pollution-v2.yml +++ b/.github/workflows/ci-pollution-v2.yml @@ -50,7 +50,7 @@ jobs: X_ODH_GRANT_TYPE: client_credentials X_ODH_PAGINATION_SIZE: 10000 X_ODH_MAX_POST_BATCH_SIZE: 10000 - X_PROVENANCE_NAME: ${{ env.PROJECT_NAME }} + X_PROVENANCE_NAME: odh-mobility-el-pollution-v2 X_PROVENANCE_VERSION: ${{ github.sha }} X_AIRFLOW_PROJ_DIR: /opt/pollution-v2 @@ -161,7 +161,7 @@ jobs: X_ODH_GRANT_TYPE: client_credentials X_ODH_PAGINATION_SIZE: 10000 X_ODH_MAX_POST_BATCH_SIZE: 10000 - X_PROVENANCE_NAME: ${{ env.PROJECT_NAME }} + X_PROVENANCE_NAME: odh-mobility-el-pollution-v2 X_PROVENANCE_VERSION: ${{ github.sha }} X_AIRFLOW_PROJ_DIR: /opt/pollution-v2 From 22c4c5a3523ded85187918f76d33ef22a23f142b Mon Sep 17 00:00:00 2001 From: Clemens Zagler Date: Tue, 17 Sep 2024 14:12:40 +0200 Subject: [PATCH 154/154] skyalps-gtfs: fix shapes related issues #37 --- .../src/main/java/com/opendatahub/JobScheduler.java | 4 ++-- .../src/main/java/com/opendatahub/file/GTFSWriter.java | 6 +++--- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/JobScheduler.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/JobScheduler.java index 1b05b3b1..5ec635b3 100644 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/JobScheduler.java +++ b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/JobScheduler.java @@ -185,7 +185,7 @@ public void calculateGtfs() throws Exception { GTFSWriter.writeRoutes(gtfsRoutes); GTFSWriter.writeTrips(gtfsTrips); GTFSWriter.writeFeedInfo(gtfsFeedInfos); - GTFSWriter.writeShape(gtfsShapes); + GTFSWriter.writeShapes(gtfsShapes); uploadToS3(); } @@ -196,7 +196,7 @@ private static double haversineDist(double lat1, double lon1, double lat2, doubl Math.sin(lat1 * (Math.PI/180)) * Math.sin(lat2 * (Math.PI/180)) + Math.cos(lat1 * (Math.PI/180)) * Math.cos(lat2 * (Math.PI/180)) * Math.cos(theta * (Math.PI/180)) ); - return distance * 1.609344; + return distance * 1609.344; } private void uploadToS3() throws Exception { diff --git a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriter.java b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriter.java index 115aef56..bf14aa22 100644 --- a/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriter.java +++ b/flighdata-skyalps-gtfs/src/main/java/com/opendatahub/file/GTFSWriter.java @@ -174,9 +174,9 @@ public static void writeFeedInfo(List feedInfos) throws Exception writeCsv("feed_info.txt", csv); } - public static void writeShape(List shapes) throws Exception { + public static void writeShapes(List shapes) throws Exception { var csv = newCsv(); - addRow(csv, " shape_id", "shape_pt_lat", "shape_pt_lon", "shape_pt_sequence", "shape_dist_traveled"); + addRow(csv, "shape_id", "shape_pt_lat", "shape_pt_lon", "shape_pt_sequence", "shape_dist_traveled"); shapes.stream() // shapes unique per ID/sequence @@ -195,6 +195,6 @@ public static void writeShape(List shapes) throws Exception { String.valueOf(shape.shape_pt_sequence()), shape.shape_dist_traveled())); - writeCsv("shape.txt", csv); + writeCsv("shapes.txt", csv); } }

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