# FastAPI serves both the prediction API and browser dashboard.
#
#   docker compose up --build            # API + dashboard on :8000
#   docker compose run --rm api python training/audit_dataset.py
#   docker compose run --rm api python training/evaluate_models.py
#
# WEBCAM: a container has no /dev/video0, and a browser camera belongs to the host.
# Local webcam recognition is therefore NOT available inside Docker.  Two supported
# fallbacks:
#   1) run it on the host against the same checkout (recommended, full 30 fps):
#          python backend/inference/realtime.py
#   2) use the browser dashboard for video upload, dataset demo, or browser-camera capture.
services:
  api:
    build: .
    image: isl-recognition:latest
    command: uvicorn backend.main:app --host 0.0.0.0 --port 8000
    ports:
      - "8000:8000"
    environment:
      ISL_SPLIT_PROTOCOL: ${ISL_SPLIT_PROTOCOL:-session_disjoint}
      ISL_DEFAULT_MODEL: ${ISL_DEFAULT_MODEL:-gru_mha}
      ISL_CONFIDENCE_THRESHOLD: ${ISL_CONFIDENCE_THRESHOLD:-0.70}
      ISL_PERSIST_UPLOADS: "false"
      ISL_TTS_ENABLED: "false"          # no sound device in the container
      API_RATE_LIMIT_PER_MIN: "240"
    volumes:
      # artefacts and logs stay on the host so they survive rebuilds
      - ./models:/app/models
      - ./datasets:/app/datasets
      - ./results:/app/results
      - ./logs:/app/logs
    healthcheck:
      test: ["CMD", "curl", "-fsS", "http://127.0.0.1:8000/health"]
      interval: 30s
      timeout: 10s
      retries: 3