AVWX-API

About

The AVWX REST API is built as a Python Quart app which is a Flask-compatible async web backend. It sources METAR and TAF reports from NOAA ADDS and other localized weather sources (where available) via the AVWX-Engine library which I also maintain.

The core benefit of AVWX over other sources is its parsing engine. It provides a more accurate interpretation of the raw report string than aging government sources and includes value-added features like calculating flight-rules, translating report elements into English, and providing text-to-speech representations of the report and its elements.

For more information, go to the hosted version at avwx.rest.

Quickstart

The easiest way to get the app running is to create and run it in Docker.

It should be able to run as is, but it won't have the database-backed features enabled like token authentication, report caching, and metric counting. These features are geared for the production environment, so they won't be an issue for local development. If you want to add them, you'll need a MongoDB connection URI in the environment:

export MONGO_URI="mongodb://db:password==@loc.test.com:12345"

Now you should be able to build and run the Docker container:

docker build -t avwx_api .
docker run -p 8000:8000 avwx_api

It should now be available at http://localhost:8000

Setup

First we should install the app requirements and copy the env file. I recommend always installing into a virtual environment. Dotenv is not in the requirements file because it is only used in development.

pip install -r requirements.txt
pip install python-dotenv
cp sample.env .env

For an explanation of the variables in .env, see the quickstart. Feel free to comment or replace these as you see fit.

Before we can run the app, we need to tell Quart where the app is.

export QUART_APP=avwx_api:app
export QUART_ENV=development

Running

Once the app is configured, use the Quart CLI to run it. It will be in development/debug mode.

quart run -p 8000