Cookiecutter template for flask restful, including blueprints, application factory, and more
This cookie cutter is a very simple boilerplate for starting a REST api using Flask, flask-restful, marshmallow, SQLAlchemy and jwt. It comes with basic project structure and configuration, including blueprints, application factory and basics unit tests.
Features
- Simple flask application using application factory, blueprints
- Flask command line interface integration
- Simple cli implementation with basics commands (init, run, etc.)
- Flask Migrate included in entry point
- Authentication using Flask-JWT-Extended including access token and refresh token management
- Simple pagination utils
- Unit tests using pytest and factoryboy
- Configuration override using environment variable
Used packages :
- Flask
- Flask-RESTful
- Flask-Migrate
- Flask-SQLAlchemy
- Flask-Marshmallow
- Flask-JWT-Extended
- marshmallow-sqlalchemy
- passlib
- tox
- pytest
- factoryboy
- dotenv
For the example, let's say you named your app myapi
and your project myproject
Once project started with cookiecutter, you can install it using pip :
cd myproject
pip install -r requirements
pip install -e .
You have now access to cli commands and you can init your project
myapi init
To list all commands
myapi --help
To access protected resources, you will need an access token. You can generate
an access and a refresh token using /auth/login
endpoint, example using curl
curl -X POST -H "Content-Type: application/json" -d '{"username": "admin", "password": "admin"}' http://localhost:5000/auth/login
This will return something like this
{
"access_token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ0eXBlIjoiYWNjZXNzIiwiaWRlbnRpdHkiOjEsImlhdCI6MTUxMDAwMDQ0MSwiZnJlc2giOmZhbHNlLCJqdGkiOiI2OTg0MjZiYi00ZjJjLTQ5MWItYjE5YS0zZTEzYjU3MzFhMTYiLCJuYmYiOjE1MTAwMDA0NDEsImV4cCI6MTUxMDAwMTM0MX0.P-USaEIs35CSVKyEow5UeXWzTQTrrPS_YjVsltqi7N4",
"refresh_token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZGVudGl0eSI6MSwiaWF0IjoxNTEwMDAwNDQxLCJ0eXBlIjoicmVmcmVzaCIsImp0aSI6IjRmMjgxOTQxLTlmMWYtNGNiNi05YmI1LWI1ZjZhMjRjMmU0ZSIsIm5iZiI6MTUxMDAwMDQ0MSwiZXhwIjoxNTEyNTkyNDQxfQ.SJPsFPgWpZqZpHTc4L5lG_4aEKXVVpLLSW1LO7g4iU0"
}
You can use access_token to access protected endpoints :
curl -X GET -H "Content-Type: application/json" -H "Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ0eXBlIjoiYWNjZXNzIiwiaWRlbnRpdHkiOjEsImlhdCI6MTUxMDAwMDQ0MSwiZnJlc2giOmZhbHNlLCJqdGkiOiI2OTg0MjZiYi00ZjJjLTQ5MWItYjE5YS0zZTEzYjU3MzFhMTYiLCJuYmYiOjE1MTAwMDA0NDEsImV4cCI6MTUxMDAwMTM0MX0.P-USaEIs35CSVKyEow5UeXWzTQTrrPS_YjVsltqi7N4" http://127.0.0.1:5000/api/v1/users
You can use refresh token to retreive a new access_token using the endpoint /auth/refresh
curl -X POST -H "Content-Type: application/json" -H "Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZGVudGl0eSI6MSwiaWF0IjoxNTEwMDAwNDQxLCJ0eXBlIjoicmVmcmVzaCIsImp0aSI6IjRmMjgxOTQxLTlmMWYtNGNiNi05YmI1LWI1ZjZhMjRjMmU0ZSIsIm5iZiI6MTUxMDAwMDQ0MSwiZXhwIjoxNTEyNTkyNDQxfQ.SJPsFPgWpZqZpHTc4L5lG_4aEKXVVpLLSW1LO7g4iU0" http://127.0.0.1:5000/auth/refresh
this will only return a new access token
{
"access_token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ0eXBlIjoiYWNjZXNzIiwiaWRlbnRpdHkiOjEsImlhdCI6MTUxMDAwMDYxOCwiZnJlc2giOmZhbHNlLCJqdGkiOiIzODcxMzg4Ni0zNGJjLTRhOWQtYmFlYS04MmZiNmQwZjEyNjAiLCJuYmYiOjE1MTAwMDA2MTgsImV4cCI6MTUxMDAwMTUxOH0.cHuNf-GxVFJnUZ_k9ycoMMb-zvZ10Y4qbrW8WkXdlpw"
}
Simplest way to run tests is to use tox, it will create a virtualenv for tests, install all dependencies and run pytest
tox
But you can also run pytest manually, you just need to install tests dependencies before
pip install pytest pytest-runner pytest-flask pytest-factoryboy factory_boy
pytest
This project provide a simple wsgi entry point to run gunicorn or uwsgi for example.
For gunicorn you only need to run the following commands
pip install gunicorn
gunicorn myapi.wsgi:app
And that's it ! Gunicorn is running on port 8000
Pretty much the same as gunicorn here
pip install uwsgi
uwsgi --http 127.0.0.1:5000 --module myapi.wsgi:app
And that's it ! Uwsgi is running on port 5000
This cookiecutter is fully compatible with default flask CLI and use a .flaskenv
file to set correct
env variables to bind the application factory.
Note that we also set FLASK_ENV
to development
to enable debugger.