Example REST service using Connexion Swagger-first Python library: includes schema validation and OAuth 2
This example application implements a very basic "pet shop" REST service using the Connexion
_ Python library.
Connexion is a framework on top of Flask_ to automagically handle your REST API requests
based on Swagger 2.0 Specification
_ files in YAML.
? Please also have a look at the Connexion Example with Redis database and Kubernetes deployment manifests
_.
This example application shows various features supported by the Connexion library:
mapping of REST operations to Python functions (using the operationId
in swagger.yaml
)
bundled Swagger UI (served on /ui/
_ path)
automatic JSON serialization for application/json
content type
schema validation for the HTTP request body and query parameters:
gevent WSGI server
OAuth2 protection
The example application only needs very few files:
swagger.yaml
: the pet shop REST API Swagger definitionapp.py
: implementation of the pet shop operations with in-memory storagePipfile
: list of required Python libraries (used by Pipenv)Dockerfile
: to build the example as a runnable Docker imagetest.sh
: shell script to execute example HTTP requests against the pet shop APIYou can run the Python application directly on your local operating system (this requires Python 3 and Pipenv <https://docs.pipenv.org/>
_):
.. code-block:: bash
$ pipenv install --dev && pipenv shell
$ ./app.py # start the HTTP server
$ xdg-open http://localhost:8080/ui/
$ ./test.sh # do some test HTTP requests
You can build the example application as a Docker image and run it:
.. code-block:: bash
$ docker build -t connexion-example .
$ docker run -d -p 8080:8080 connexion-example
$ ./test.sh # do some test HTTP requests
To enable OAuth2 security (token verification), you need to pass the URL to the "tokeninfo" endpoint:
.. code-block:: bash
$ docker run -d -p 8080:8080 -e HTTP_TOKENINFO_URL=https://auth.example.org/tokeninfo connexion-example
You can use the Flask WSGI app with any WSGI container, e.g. using Flask with uWSGI
_:
.. code-block:: bash
$ sudo pip3 install uwsgi
$ uwsgi --http :8080 -w app
You can run uwsgi with a large number of worker processes to get high concurrency. This obviously makes no sense for the in-memory pet store example (every worker would have its own pet store dictionary):
.. code-block:: bash
$ uwsgi --http :8080 -w app -p 16 # use 16 worker processes
See the uWSGI documentation
_ for more information.
.. _Connexion: https://pypi.python.org/pypi/connexion .. _Flask: http://flask.pocoo.org/ .. _Swagger 2.0 Specification: https://github.com/swagger-api/swagger-spec/blob/master/versions/2.0.md .. _/ui/: http://localhost:8080/ui/ .. _using Flask with uWSGI: http://flask.pocoo.org/docs/latest/deploying/uwsgi/ .. _uWSGI documentation: https://uwsgi-docs.readthedocs.org/ .. _Connexion Example with Redis database and Kubernetes deployment manifests: https://github.com/hjacobs/connexion-example-redis-kubernetes