Connexion Example REST Service

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.

Features

This example application shows various features supported by the Connexion library:

mapping of REST operations to Python functions (using the operationId in swagger.yaml)
- maps path, query and body parameters to keyword arguments
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:
- required object properties
- primitive JSON types (string, integers, etc)
- date/time values
- string lengths
- minimum/maximum values
- regular expression patterns
gevent WSGI server
OAuth2 protection

Files

The example application only needs very few files:

swagger.yaml: the pet shop REST API Swagger definition
app.py: implementation of the pet shop operations with in-memory storage
requirements.txt: list of required Python libraries
Dockerfile: to build the example as a runnable Docker image
test.sh: shell script to execute example HTTP requests against the pet shop API

Running Locally

You can run the Python application directly on your local operating system:

$ sudo pip3 install -r requirements.txt
$ ./app.py # start the HTTP server
$ xdg-open http://localhost:8080/ui/
$ ./test.sh # do some test HTTP requests

Running with Docker

You can build the example application as a Docker image and run it:

$ docker build -t connexion-example .
$ docker run -d -p 8080:8080 connexion-example
$ ./test.sh # do some test HTTP requests

Using OAuth2 Security

To enable OAuth2 security (token verification), you need to pass the URL to the "tokeninfo" endpoint:

$ docker run -d -p 8080:8080 -e HTTP_TOKENINFO_URL=https://auth.example.org/tokeninfo connexion-example

Using Connexion with a WSGI container

You can use the Flask WSGI app with any WSGI container, e.g. using Flask with uWSGI:

$ 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):

$ uwsgi --http :8080 -w app -p 16  # use 16 worker processes

See the uWSGI documentation for more information.