mirror of
https://github.com/PlaneQuery/OpenAirframes.git
synced 2026-04-23 19:46:09 +02:00
Initial commit
This commit is contained in:
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name: FAA daily snapshot + release
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on:
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schedule:
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# 6:00pm UTC every day
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- cron: "0 06 * * *"
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workflow_dispatch: {}
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permissions:
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contents: write
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jobs:
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build-and-release:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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with:
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fetch-depth: 0
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- name: Setup Python
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uses: actions/setup-python@v5
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with:
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python-version: "3.12"
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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- name: Run snapshot script
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run: |
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python src/snapshot_faa.py
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ls -lah data/faa_releasable
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- name: Prepare release metadata
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id: meta
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run: |
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DATE=$(date -u +"%Y-%m-%d")
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TAG="faa-${DATE}"
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echo "date=$DATE" >> "$GITHUB_OUTPUT"
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echo "tag=$TAG" >> "$GITHUB_OUTPUT"
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echo "name=FAA ReleasableAircraft snapshot ($DATE)" >> "$GITHUB_OUTPUT"
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- name: Create GitHub Release and upload assets
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uses: softprops/action-gh-release@v2
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with:
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tag_name: ${{ steps.meta.outputs.tag }}
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name: ${{ steps.meta.outputs.name }}
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body: |
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Automated daily snapshot generated at 06:00 UTC for ${{ steps.meta.outputs.date }}.
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Assets:
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- ReleasableAircraft.csv
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- ReleasableAircraft.zip
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files: |
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data/faa_releasable/ReleasableAircraft_${{ steps.meta.outputs.date }}.csv
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data/faa_releasable/ReleasableAircraft_${{ steps.meta.outputs.date }}.zip
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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+221
@@ -0,0 +1,221 @@
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[codz]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py.cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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# Pipfile.lock
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# UV
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# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# uv.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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# poetry.lock
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# poetry.toml
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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# pdm recommends including project-wide configuration in pdm.toml, but excluding .pdm-python.
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# https://pdm-project.org/en/latest/usage/project/#working-with-version-control
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# pdm.lock
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# pdm.toml
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.pdm-python
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.pdm-build/
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# pixi
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# Similar to Pipfile.lock, it is generally recommended to include pixi.lock in version control.
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# pixi.lock
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# Pixi creates a virtual environment in the .pixi directory, just like venv module creates one
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# in the .venv directory. It is recommended not to include this directory in version control.
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.pixi
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# Redis
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*.rdb
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*.aof
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*.pid
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# RabbitMQ
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mnesia/
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rabbitmq/
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rabbitmq-data/
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# ActiveMQ
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activemq-data/
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.envrc
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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# .idea/
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# Abstra
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# Abstra is an AI-powered process automation framework.
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# Ignore directories containing user credentials, local state, and settings.
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# Learn more at https://abstra.io/docs
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.abstra/
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# Visual Studio Code
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# Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore
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# that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore
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# and can be added to the global gitignore or merged into this file. However, if you prefer,
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# you could uncomment the following to ignore the entire vscode folder
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# .vscode/
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# Ruff stuff:
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.ruff_cache/
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# PyPI configuration file
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.pypirc
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# Marimo
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marimo/_static/
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marimo/_lsp/
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__marimo__/
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# Streamlit
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.streamlit/secrets.toml
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# Custom
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data/
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.DS_Store
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notebooks/
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@@ -0,0 +1,21 @@
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MIT License
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Copyright (c) 2026 PlaneQuery
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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@@ -0,0 +1 @@
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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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@@ -0,0 +1,3 @@
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faa-aircraft-registry==0.1.0
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pandas==3.0.0
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@@ -0,0 +1,48 @@
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from faa_aircraft_registry import read
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import pandas as pd
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import zipfile
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import zipfile
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from pathlib import Path
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from datetime import datetime, timezone
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date_str = datetime.now(timezone.utc).strftime("%Y-%m-%d")
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out_dir = Path("data/faa_releasable")
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out_dir.mkdir(parents=True, exist_ok=True)
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zip_name = f"ReleasableAircraft_{date_str}.zip"
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csv_name = f"ReleasableAircraft_{date_str}.csv"
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zip_path = out_dir / zip_name
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csv_path = out_dir / csv_name
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# URL and paths
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url = "https://registry.faa.gov/database/ReleasableAircraft.zip"
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from urllib.request import Request, urlopen
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req = Request(
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url,
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headers={"User-Agent": "Mozilla/5.0"},
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method="GET",
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)
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with urlopen(req, timeout=120) as r:
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body = r.read()
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zip_path.write_bytes(body)
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with zipfile.ZipFile(zip_path) as z:
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registrations = read(z)
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df = pd.DataFrame(registrations['master'].values())
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col = "transponder_code_hex"
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df = df[[col] + [c for c in df.columns if c != col]]
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df = df.rename(columns={"transponder_code_hex": "icao"})
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registrant = pd.json_normalize(df["registrant"]).add_prefix("registrant_")
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df = df.drop(columns="registrant").join(registrant)
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df = df.rename(columns={"aircraft_type": "aircraft_type_2"})
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aircraft = pd.json_normalize(df["aircraft"]).add_prefix("aircraft_")
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df = df.drop(columns="aircraft").join(aircraft)
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df = df.rename(columns={"engine_type": "engine_type_2"})
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engine = pd.json_normalize(df["engine"].where(df["engine"].notna(), {})).add_prefix("engine_")
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df = df.drop(columns="engine").join(engine)
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df = df.sort_values(by=["icao"])
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df.to_csv(csv_path, index=False)
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