Python bindings for OpenAir airspace file parser
Project description
openair-rs-py
Note: This is a fork of https://github.com/dbrgn/openair-rs with Python bindings. See README_ORIG.md for original readme.
This directory contains Python bindings for the OpenAir airspace file parser written in Rust.
Openair Format specification
https://web.archive.org/web/20220703063934/http://www.winpilot.com/usersguide/userairspace.asp (original page no longer available, archived version linked)
see also FORMAT.txt
For future improvements (version 2.1), see: https://github.com/naviter/seeyou_file_formats/blob/main/OpenAir_File_Format_Support.md
Features
- Fast OpenAir file parsing using Rust
- Python-friendly API returning standard Python dictionaries
- Support for all OpenAir format features:
- Airspace metadata (name, class, bounds)
- Polygon points, circles, arcs
- Extension records (AY/AF/AG)
Installation
Prerequisites
- Rust toolchain: Install from rustup.rs
- Python 3.8+
- Maturin: Install with
pip install maturin
Building and Installation
Setup Virtual Environment (Recommended)
# Create and activate a virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install maturin in the virtual environment
pip install maturin
Build Commands
# Development build with debug symbols (installs directly into current environment)
maturin develop --features python
# Release build for distribution (creates wheel file)
maturin build --release --features python
Use maturin develop for development - it compiles the Rust code and installs the Python module directly into your current environment. Use maturin build --release when you need to create distribution wheels.
Usage
from openair import parse_string, parse_file
# Parse from string
openair_data = """
AC D
AN EXAMPLE CTR
AL GND
AH 5000 ft
DP 46:57:13 N 008:27:52 E
DP 46:57:46 N 008:30:41 E
"""
airspaces = parse_string(openair_data)
# Parse from file
airspaces = parse_file("path/to/airspace.txt")
# Each airspace is a dictionary with structure:
for airspace in airspaces:
print(f"Name: {airspace['name']}")
print(f"Class: {airspace['class']}")
print(f"Lower bound: {airspace['lowerBound']}")
print(f"Upper bound: {airspace['upperBound']}")
print(f"Geometry: {airspace['geom']}")
Example Output
The parser returns airspaces as Python dictionaries with this structure:
{
"name": "EXAMPLE CTR",
"class": "D",
"lowerBound": {"type": "Gnd"},
"upperBound": {"type": "FeetAmsl", "val": 5000},
"geom": {
"type": "Polygon",
"segments": [
{"type": "Point", "lat": 46.95361, "lng": 8.46444},
{"type": "Point", "lat": 46.96277, "lng": 8.51138}
]
}
}
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