Skeleton Docker Hypercorn Quart

A Skeleton or Boilerplate for a Python 3.7+ asynchronous Web App Microframework API with Quart, Hypercorn as a server to deliver HTTP/2, and Docker to tie it all together.

Features

• Hypercorn
• Quart
• OpenAPI python class REST
• HTTP/2 compressed packets
• TLS encrypted communication enabled with self-signed certificates

Hypercorn ASGI Server & Quart Python Microframework

ASGI (Asynchronous Server Gateway Interface) based web server that can transmit HTTP/2 (h2) packets that are encrypted with TLS and in a binary format making it faster than HTTP 1. Quart is a Python framework based upon Flask Python (and in competition with Starlette and FastAPI, although Quart more closely follows Flask).

Note: Do not use self-signed certificate in this example in a production environment.

However, if it is firewalled off and only accessible internally between servers you own as a cluster, then self-signed certificates can be utilized as new keys are generated every time the docker is built

Installation

Create a .env file in the root directory.

Open Powershell or your favorite shell and use:

docker-compose -p ProjectName build

docker-compose -p ProjectName up

Then visit https://localhost:9000/

Information

Quart

@app.route('/')
async def index_page():
  return jsonify({"Processing": "Accomplished"})

OpenAPI

Routing can be enhanced with OpenAPI to make it more like Flask REST products using class methods:

@app.route('/')
class Root(Resource):
  async def get(self):
    '''Note Route
    This docstring will show up as the description and short-description for the openapi docs for this route.
    '''
    return jsonify({"Note": "There exists a localhost:9000/openapi.json that can be helpful here"})
  async def post(self): 
    '''Post Hello Route
    Quick description for OpenAPI
    '''
    data = await request.get_json()
    return jsonify(data)

More information on Quart (an asynchronous enabled web microframework based off of Flask):

https://pgjones.gitlab.io/quart/

More information on Quart OpenAPI:

https://factset.github.io/quart-openapi/