Initial commit

This commit is contained in:
ggman12
2026-01-31 21:10:15 -05:00
commit ccefbf437c
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name: FAA daily snapshot + release
on:
schedule:
# 6:00pm UTC every day
- cron: "0 06 * * *"
workflow_dispatch: {}
permissions:
contents: write
jobs:
build-and-release:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Setup Python
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -r requirements.txt
- name: Run snapshot script
run: |
python src/snapshot_faa.py
ls -lah data/faa_releasable
- name: Prepare release metadata
id: meta
run: |
DATE=$(date -u +"%Y-%m-%d")
TAG="faa-${DATE}"
echo "date=$DATE" >> "$GITHUB_OUTPUT"
echo "tag=$TAG" >> "$GITHUB_OUTPUT"
echo "name=FAA ReleasableAircraft snapshot ($DATE)" >> "$GITHUB_OUTPUT"
- name: Create GitHub Release and upload assets
uses: softprops/action-gh-release@v2
with:
tag_name: ${{ steps.meta.outputs.tag }}
name: ${{ steps.meta.outputs.name }}
body: |
Automated daily snapshot generated at 06:00 UTC for ${{ steps.meta.outputs.date }}.
Assets:
- ReleasableAircraft.csv
- ReleasableAircraft.zip
files: |
data/faa_releasable/ReleasableAircraft_${{ steps.meta.outputs.date }}.csv
data/faa_releasable/ReleasableAircraft_${{ steps.meta.outputs.date }}.zip
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[codz]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py.cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
# Pipfile.lock
# UV
# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# uv.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
# poetry.lock
# poetry.toml
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
# pdm recommends including project-wide configuration in pdm.toml, but excluding .pdm-python.
# https://pdm-project.org/en/latest/usage/project/#working-with-version-control
# pdm.lock
# pdm.toml
.pdm-python
.pdm-build/
# pixi
# Similar to Pipfile.lock, it is generally recommended to include pixi.lock in version control.
# pixi.lock
# Pixi creates a virtual environment in the .pixi directory, just like venv module creates one
# in the .venv directory. It is recommended not to include this directory in version control.
.pixi
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# Redis
*.rdb
*.aof
*.pid
# RabbitMQ
mnesia/
rabbitmq/
rabbitmq-data/
# ActiveMQ
activemq-data/
# SageMath parsed files
*.sage.py
# Environments
.env
.envrc
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
# .idea/
# Abstra
# Abstra is an AI-powered process automation framework.
# Ignore directories containing user credentials, local state, and settings.
# Learn more at https://abstra.io/docs
.abstra/
# Visual Studio Code
# Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore
# that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore
# and can be added to the global gitignore or merged into this file. However, if you prefer,
# you could uncomment the following to ignore the entire vscode folder
# .vscode/
# Ruff stuff:
.ruff_cache/
# PyPI configuration file
.pypirc
# Marimo
marimo/_static/
marimo/_lsp/
__marimo__/
# Streamlit
.streamlit/secrets.toml
# Custom
data/
.DS_Store
notebooks/
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MIT License
Copyright (c) 2026 PlaneQuery
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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Downloads [`https://registry.faa.gov/database/ReleasableAircraft.zip`](https://registry.faa.gov/database/ReleasableAircraft.zip). Creates a daily GitHub Release at 06:00 UTC containing the unaltered `ReleasableAircraft.zip` and a derived CSV file with all data. The FAA database updates daily at 05:30 UTC.
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faa-aircraft-registry==0.1.0
pandas==3.0.0
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from faa_aircraft_registry import read
import pandas as pd
import zipfile
import zipfile
from pathlib import Path
from datetime import datetime, timezone
date_str = datetime.now(timezone.utc).strftime("%Y-%m-%d")
out_dir = Path("data/faa_releasable")
out_dir.mkdir(parents=True, exist_ok=True)
zip_name = f"ReleasableAircraft_{date_str}.zip"
csv_name = f"ReleasableAircraft_{date_str}.csv"
zip_path = out_dir / zip_name
csv_path = out_dir / csv_name
# URL and paths
url = "https://registry.faa.gov/database/ReleasableAircraft.zip"
from urllib.request import Request, urlopen
req = Request(
url,
headers={"User-Agent": "Mozilla/5.0"},
method="GET",
)
with urlopen(req, timeout=120) as r:
body = r.read()
zip_path.write_bytes(body)
with zipfile.ZipFile(zip_path) as z:
registrations = read(z)
df = pd.DataFrame(registrations['master'].values())
col = "transponder_code_hex"
df = df[[col] + [c for c in df.columns if c != col]]
df = df.rename(columns={"transponder_code_hex": "icao"})
registrant = pd.json_normalize(df["registrant"]).add_prefix("registrant_")
df = df.drop(columns="registrant").join(registrant)
df = df.rename(columns={"aircraft_type": "aircraft_type_2"})
aircraft = pd.json_normalize(df["aircraft"]).add_prefix("aircraft_")
df = df.drop(columns="aircraft").join(aircraft)
df = df.rename(columns={"engine_type": "engine_type_2"})
engine = pd.json_normalize(df["engine"].where(df["engine"].notna(), {})).add_prefix("engine_")
df = df.drop(columns="engine").join(engine)
df = df.sort_values(by=["icao"])
df.to_csv(csv_path, index=False)