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feat(datasets): add wrapped dataset to store the response from a POST…
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…/PUT request

Proof of concept to start discussions about design on how to store and use response.

Signed-off-by: Nicolas Perrin <[email protected]>
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npfp committed Oct 23, 2024
1 parent bc2ad07 commit dc433d1
Showing 1 changed file with 57 additions and 6 deletions.
63 changes: 57 additions & 6 deletions kedro-datasets/kedro_datasets/api/api_dataset.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,15 +3,20 @@
"""
from __future__ import annotations

import json as json_ # make pylint happy
from copy import deepcopy
from typing import Any
from typing import Any, Type

import requests
from kedro.io.core import AbstractDataset, DatasetError
from kedro.io.memory_dataset import MemoryDataset
from requests import Session, sessions
from requests.auth import AuthBase

import json as json_ # make pylint happy
from kedro_datasets.json import JSONDataset
from kedro_datasets.pickle.pickle_dataset import PickleDataset
from kedro_datasets.text import TextDataset


class APIDataset(AbstractDataset[None, requests.Response]):
"""``APIDataset`` loads/saves data from/to HTTP(S) APIs.
Expand Down Expand Up @@ -97,6 +102,8 @@ def __init__( # noqa: PLR0913
save_args: dict[str, Any] | None = None,
credentials: tuple[str, str] | list[str] | AuthBase | None = None,
metadata: dict[str, Any] | None = None,
extension: str | None = None,
wrapped_dataset: dict[str, Any] | None = None,
) -> None:
"""Creates a new instance of ``APIDataset`` to fetch data from an API endpoint.
Expand Down Expand Up @@ -155,6 +162,9 @@ def __init__( # noqa: PLR0913
}

self.metadata = metadata
self._extension = extension
self._wrapped_dataset_args = wrapped_dataset
self._wrapped_dataset = None

@staticmethod
def _convert_type(value: Any):
Expand Down Expand Up @@ -184,10 +194,12 @@ def _execute_request(self, session: Session) -> requests.Response:

return response

def load(self) -> requests.Response:
def load(self) -> requests.Response | str | Any:
if self._request_args["method"] == "GET":
with sessions.Session() as session:
return self._execute_request(session)
elif self._request_args["method"] in ["PUT", "POST"] and self.wrapped_dataset is not None:
return self.wrapped_dataset.load()

raise DatasetError("Only GET method is supported for load")

Expand Down Expand Up @@ -222,13 +234,52 @@ def _execute_save_request(self, json_data: Any) -> requests.Response:
def save(self, data: Any) -> requests.Response: # type: ignore[override]
if self._request_args["method"] in ["PUT", "POST"]:
if isinstance(data, list):
return self._execute_save_with_chunks(json_data=data)

return self._execute_save_request(json_data=data)
response: requests.Response = self._execute_save_with_chunks(json_data=data)
else:
response: requests.Response = self._execute_save_request(json_data=data)

if self._wrapped_dataset is None:
return response
if self._extension == "json":
self.wrapped_dataset.save(response.json()) #TODO(npfp): expose json loads arguments
elif self._extension == "text":
self.wrapped_dataset.save(response.text)
elif self._extension:
self.wrapped_dataset.save(response)
return response

raise DatasetError("Use PUT or POST methods for save")

def _exists(self) -> bool:
with sessions.Session() as session:
response = self._execute_request(session)
return response.ok

@property
def _nested_dataset_type(
self,
) -> Type[JSONDataset | PickleDataset | MemoryDataset]:
if self._extension == "json":
return JSONDataset
elif self._extension == "text":
return TextDataset
elif self._extension == "pickle":
return PickleDataset
elif self._extension == "memory":
#I'm not sure we need this
return MemoryDataset
else:
raise DatasetError(
f"Unknown extension for WrappedDataset: {self._extension}"
)

@property
def wrapped_dataset(
self,
) -> JSONDataset | PickleDataset | MemoryDataset | None:
"""The wrapped dataset where response data is stored."""
if self._wrapped_dataset is None and self._extension is not None:
self._wrapped_dataset = self._nested_dataset_type(
**self._wrapped_dataset_args
)
return self._wrapped_dataset

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