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.gitignore
vendored
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257
.gitignore
vendored
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# Created by https://www.toptal.com/developers/gitignore/api/python,visualstudiocode,macos,windows
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# Edit at https://www.toptal.com/developers/gitignore?templates=python,visualstudiocode,macos,windows
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### macOS ###
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# General
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.DS_Store
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.AppleDouble
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.LSOverride
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# Icon must end with two \r
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Icon
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# Thumbnails
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._*
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# Files that might appear in the root of a volume
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.DocumentRevisions-V100
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.fseventsd
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.Spotlight-V100
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.TemporaryItems
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.Trashes
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.VolumeIcon.icns
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.com.apple.timemachine.donotpresent
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# Directories potentially created on remote AFP share
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.AppleDB
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.AppleDesktop
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Network Trash Folder
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Temporary Items
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.apdisk
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### macOS Patch ###
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# iCloud generated files
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*.icloud
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### Python ###
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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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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# 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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# 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.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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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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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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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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### Python Patch ###
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# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
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poetry.toml
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# ruff
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.ruff_cache/
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# LSP config files
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pyrightconfig.json
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### VisualStudioCode ###
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.vscode/*
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!.vscode/settings.json
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!.vscode/tasks.json
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!.vscode/launch.json
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!.vscode/extensions.json
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!.vscode/*.code-snippets
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# Local History for Visual Studio Code
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.history/
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# Built Visual Studio Code Extensions
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*.vsix
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### VisualStudioCode Patch ###
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# Ignore all local history of files
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.history
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.ionide
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### Windows ###
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# Windows thumbnail cache files
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Thumbs.db
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Thumbs.db:encryptable
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ehthumbs.db
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ehthumbs_vista.db
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# Dump file
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*.stackdump
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# Folder config file
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[Dd]esktop.ini
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# Recycle Bin used on file shares
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$RECYCLE.BIN/
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# Windows Installer files
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*.cab
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*.msi
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*.msix
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*.msm
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*.msp
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# Windows shortcuts
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*.lnk
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# End of https://www.toptal.com/developers/gitignore/api/python,visualstudiocode,macos,windows
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.cache-*
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*.csv
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23
README.md
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23
README.md
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@@ -0,0 +1,23 @@
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# spotify-fetch
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Dieses Python-Skript kann genutzt werden, um die eigene Liste aller
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Lieblingssongs von Spotify abzufragen. Dazu wird die Library
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`spotipy` genutzt, um die Authentisierung gegenüber der Spotify API
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zu vereinfachen.
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Es werden die `CLIENT_ID`, das `CLIENT_SECRET` und eine `Callback URL` für
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die Spotify App benötigt. Die App kann im
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[Spotify Developer Portal](https://developer.spotify.com) erstellt werden.
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Diese drei Parameter müssen vorab als Environment Variables definiert werden:
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```bash
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export SPOTIPY_CLIENT_ID='client id'
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export SPOTIPY_CLIENT_SECRET='client secret'
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export SPOTIPY_CALLBACK_URL='http://localhost:8888/callback'
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```
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Die Callback URL muss mit der in der App angegebenen Callback URL
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übereinstimmen! spotipy fordert zur Eingabe des Callback Tokens auf. Dieser
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befindet sich in der sich öffnenden URL nach der Zeichenfolge `callback?`
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und kann einfach kopiert werden. (Auf diese Weise wird Spotify ein Webservice
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simuliert.)
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65
fetch.py
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65
fetch.py
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import csv
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import os
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import spotipy
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import spotipy.util as util
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# get credentials and callback URL from environment variables
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# HINT: callback URL has to match Spotify App settings
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client_id: str = os.environ.get("SPOTIPY_CLIENT_ID")
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client_secret: str = os.environ.get("SPOTIPY_CLIENT_SECRET")
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redirect_uri: str = os.environ.get("SPOTIPY_REDIRECT_URI")
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# don't edit scope, but edit user name!
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scope: str = "user-library-read"
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username: str = "hntngprty"
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# get user auth token
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token: str = util.prompt_for_user_token(
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username,
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scope,
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client_id=client_id,
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client_secret=client_secret,
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redirect_uri=redirect_uri,
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)
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# raw responses from Spotify API
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items: list[dict] = []
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# response elements reduced to (artist, title) tuples
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tracks: list[tuple[str, str]] = []
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shall_continue: bool = True
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i: int = 0
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if token:
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while shall_continue:
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sp = spotipy.Spotify(auth=token)
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results = sp.current_user_saved_tracks(offset=i, limit=50)
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# break if response is empty
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if len(results["items"]) == 0:
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break
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# add items; increase offset
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print(results)
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items += results["items"]
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i += 50
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# reduce API responses to just artists and tracks
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for item in items:
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track: str = item["track"]
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artist: str = track["artists"][0]["name"]
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title: str = track["name"]
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# add track
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tracks.append((artist, title))
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# output artist and track
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print(f"{artist} - {title}")
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# final step: write tracks to tracks.csv file
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with open("tracks.csv", "w", encoding="utf8") as file:
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writer = csv.writer(file, quotechar='"')
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writer.writerow(("Artist", "Title"))
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writer.writerows(tracks)
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