avwx-engine 1.9.1

Aviation weather report parsing library

AVWX

---

Documentation: https://engine.avwx.rest

Source Code: https://github.com/avwx-rest/avwx-engine

PyPI: https://pypi.org/project/avwx-engine/

---

AVWX is a global aviation weather fetching and parsing engine. It sources reports from a variety of government sources, parses individual elements, and calculates additional information like flight rules and time range interpolation.

AVWX currently supports:

• Station data and search
• METAR
• TAF
• PIREP
• AIRMET / SIGMET
• NOTAM
• NBM (NBH, NBS, NBE)
• GFS (MAV, MEX)

Install

The easiest way to get started is to download the library from pypi using pip:

python -m pip install avwx-engine

Basic Usage

Reports use ICAO, IATA, or GPS idents when specifying the desired station. Exceptions are thrown if a potentially invalid ident is given.

>>> import avwx
>>>
>>> metar = avwx.Metar('KJFK')
>>> metar.station.name
'John F Kennedy International Airport'
>>> metar.update()
True
>>> metar.data.flight_rules
'IFR'

You can learn more by reading the project documentation

Note: This library requires Python 3.10 or above

Development

Download and install the source code and its development dependencies:

• Clone this repository

git clone https://github.com/avwx-rest/avwx-engine
cd avwx-engine

• Requirements:

  • Hatch
  • Python 3.10+

• Create a virtual environment and install the dependencies

hatch env create

• Activate the virtual environment

hatch shell

Formatting and Code Checks

hatch handles all of the formatting and linting for us. The library and test suite are fully typed and formatted. Make sure to run these checks before submitting PRs because the workflows will fail if errors are found.

Typing with mypy:

hatch run types:check

Code formatting and linting:

hatch fmt

Testing

Testing is managed by hatch which uses pytest and coverage under the hood.

hatch test

The end-to-end test files were generated using util/build_tests.py and placed into tests/{report}/data. Because Timestamp generation interprets the text based on the current date, Timestamp objects are nullified in the end-to-end tests.

Documentation

The documentation is automatically generated from the content of the docs directory and from the docstrings of the public signatures of the source code. The documentation is updated and published to engine.avwx.rest automatically as part each release.

You can also preview local changes during development:

hatch run docs:serve

Releasing

Trigger the Draft release workflow (press Run workflow). This will update the changelog & version and create a GitHub release which is in Draft state.

Find the draft release from the GitHub releases and publish it. When a release is published, it'll trigger release workflow which creates PyPI release and deploys updated documentation.