leetcrypt
7535feb445
Ships the production serving path (FastAPI upload/map UI + statistical device-category identification) as a lean, reproducible container: - Dockerfile: python:3.10-slim, non-root user, /health HEALTHCHECK, serves uvicorn src.api.main_simple:app. Bakes in the joblib category model and the static rtl_433 protocol table; excludes the 11 GB test corpora and the benched Phase 3B CNN binaries. Built image is 417 MB. - requirements-prod.txt: pins matched to the versions that actually train/serve the model (scikit-learn 1.6.1 / numpy 2.2.6) so joblib.load() stays valid. torch/onnx intentionally absent — the CNN is benched, not on the serving path. - docker-compose.yml: single service, named volume seeds from baked data/ on first run then persists captures_simple.json writes across restarts. - .dockerignore: keeps data/, venv/, vendored firmware, docs out of the image. Validated: image builds, container reports healthy, and the statistical classifier loads + predicts inside the container. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
31 lines
976 B
Plaintext
31 lines
976 B
Plaintext
# GigLez production runtime — the LIVE simple-mode path only
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# (src/api/main_simple.py → SignatureMatcher → pattern_decoder → statistical ML).
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#
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# Versions are pinned to what actually trained/serves the model in this env.
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# In particular scikit-learn/numpy MUST match the versions the
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# models/category_classifier.joblib bundle was built with (1.6.1 / 2.2.x),
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# or joblib.load() will warn/break. Do NOT downgrade to the old
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# requirements.txt pins — those drive the dormant SQLAlchemy/PostGIS path.
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#
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# NOTE: torch/onnx are intentionally absent — the Phase 3B CNN is benched
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# (loses to the statistical model), so it is not part of the serving path.
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# Web stack
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fastapi==0.121.1
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starlette==0.46.0
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uvicorn[standard]==0.31.1
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jinja2==3.1.6
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python-multipart==0.0.22
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pydantic==2.12.4
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# Numerics + statistical ML (RAW category classifier)
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numpy==2.2.6
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scipy==1.15.3
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scikit-learn==1.6.1
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joblib==1.5.3
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# Support
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loguru==0.7.2
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pyyaml==6.0.2
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python-dateutil==2.9.0.post0
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