Files
giglez/Dockerfile
T
leetcrypt 7535feb445 deploy: containerize the live simple-mode API (Docker)
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>
2026-07-19 19:09:09 -07:00

42 lines
1.6 KiB
Docker

# GigLez — production image for the live "simple mode" API.
# Serves: FastAPI upload/map UI + statistical device-category identification.
FROM python:3.10-slim
# Faster, quieter, unbuffered logs in containers.
ENV PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
PIP_NO_CACHE_DIR=1
WORKDIR /app
# Dependencies first for layer caching — only re-runs when reqs change.
COPY requirements-prod.txt ./
RUN pip install --no-cache-dir -r requirements-prod.txt
# Application code + assets the live path needs.
COPY src/ ./src/
COPY static/ ./static/
COPY templates/ ./templates/
COPY config/ ./config/
COPY models/category_classifier.joblib ./models/category_classifier.joblib
# Seed data: the static rtl_433 protocol table (read-only) and an initial
# capture store. When /app/data is mounted as a *named volume*, Docker seeds
# the empty volume from these baked files on first run, then persists writes
# to captures_simple.json across restarts.
COPY data/rtl_433_protocols.json data/captures_simple.json data/weather_sensors_found.txt ./data/
# Run as a non-root user.
RUN useradd --create-home --uid 10001 giglez \
&& chown -R giglez:giglez /app
USER giglez
EXPOSE 8000
# Container-native healthcheck hits the app's /health endpoint.
HEALTHCHECK --interval=30s --timeout=3s --start-period=15s --retries=3 \
CMD python -c "import urllib.request,sys; sys.exit(0 if urllib.request.urlopen('http://127.0.0.1:8000/health').status==200 else 1)"
# Serve with uvicorn (module app object), not the __main__ dev banner.
CMD ["uvicorn", "src.api.main_simple:app", "--host", "0.0.0.0", "--port", "8000"]