26 lines
1.5 KiB
Markdown
26 lines
1.5 KiB
Markdown
# Entry-Point Runtime — Python
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## Signals to gather
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- `argv0` equals `python`, `python3`, `pypy`, or an interpreter symlink.
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- WSGI/ASGI servers: `gunicorn`, `uvicorn`, `hypercorn`, `daphne`.
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- Task runners: `celery -A app worker`, `rq worker`, `pytest`.
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- Presence of `requirements.txt`, `pyproject.toml`, `setup.cfg`, or `Pipfile`.
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- `PYTHONPATH`, `PYTHONUNBUFFERED`, `DJANGO_SETTINGS_MODULE`, `FLASK_APP`, or application-specific env vars.
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- Virtualenv detection (`/venv/bin/python`, `pyvenv.cfg`).
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## Implementation notes
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- When invoked as `python -m module`, resolve the module to a path if possible.
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- For WSGI/ASGI servers, inspect command arguments (`app:app`, `module:create_app`) and config files.
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- Recognise wrapper scripts such as `docker-entrypoint.py` that eventually `exec "$@"`.
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- Support zipped apps or single-file bundles by checking `zipapp` signatures.
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## Evidence & scoring
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- Increase confidence when module or script exists and dependencies are present.
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- Capture evidence for env variables, config files, or known server arguments.
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- Penalise ambiguous invocations (e.g., `python -c "..."` without persistent service).
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## Edge cases
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- Supervisors launching multiple Python workers fall back to `Supervisor` classification with Python listed as child.
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- Conda environments use different directory structures; look for `conda-meta` directories.
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- Alpine distroless images may ship `python` symlinks without standard libs—ensure script presence before final classification.
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