# 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"]