stream video of Face detection using opencv background subtraction and python Flask microframework
This project is made for anyone who is looking for an example of how to create a rest endpoint using Python and Flask.
This service calls a local sqlite database. Please see databases directory for more details.
This projet was written using PyCharm Community Edition.
This project uses Pipenv for virtual environment management.
If you are on MacOS you can install the dependency using homebrew:
brew install pipenv
Next run the following command to install the dependencies on your local computer:
pipenv install
After you have performed all the dependency installations from above, you can run the following command on your terminal to start this app.
From the root of this project enter the following terminal command:
pipenv run python app.py
Or you can also start the application using PyCharm.
This project uses a local sqlite for a repository.
This project contains a swagger ui.
For more information regarding swagger. Click here.
For more information regarding connexion. Click here.
To view this api's swagger ui, run this application, then navigate to [http://localhost:5000/ui/]
You can test out this api entirely from the swagger ui page.
GET - getAll: users/v1
GET - getByUsername: users/v1/darth
PUT - updateUserEmail: users/v1/darth + include a json body with new email.
DELETE - deleteUsername: users/v1/darth
GET - getAll: locations/v1
GET - getByState: locations/v1/ca
PUT - updateCapital: locations/v1/ca + include a json body with new capital.
DELETE - deleteLocation: locations/v1/ca
This api is fully tested with Unit Tests and Integration tests. Please see tests directory for examples.
Tests connect to test.db for integration tests.
This project is a Flask project. For more information click here
This application can be run in Docker. Please see Dockerfile for image setup. Steps to create an image & how to run the app in a container list below. (must have docker installed)
Create a docker image: docker build -t flask-api .
Run docker container: docker run -it -p 5000:5000 flask-api
*** Once app has started, view the swagger ui by navigating to [http://localhost:5000/ui/] ***
View docker images: docker images
View docker containers: docker ps -a
Remove docker images: docker rmi $(docker images -q)
Remove docker containers: docker rm $(docker ps -aq)
Click here for more information regarding docker
* Note: this flask app by default runs as a development server, not meant for production. Docker & gunicorn is used to productionize this app. This docker container runs as as a production WSGI server, with 4 workers via gunicorn. *
A web hook has been setup with Travis CI for all Push and Pull Requests.
Feel free to fork this repo, add to it, and create a pull request if you like to contribute.
If you have any questions, you can contact me via email: [email protected]