version: "3.8"

services:
  server:
    build:
      context: .
      dockerfile: Dockerfile
    image: video_decode
    container_name: video_decode
    restart: always
    ports:
      - "8000:8000"
    volumes:
      - ./logs:/video_decode/logs
    env_file:
      - .env
    environment:
      - APP_ENV=prod
    entrypoint: ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

  add_score_scheduler:
    build:
      context: .
      dockerfile: Dockerfile
    image: video_decode
    container_name: add_score_scheduler
    restart: always
    volumes:
      - ./logs:/video_decode/logs
    env_file:
      - .env
    environment:
      - APP_ENV=prod
      - ADD_SCORE_CUTOFF_DT=20260429
      - ADD_SCORE_TIMEOUT=2400
      - ADD_SCORE_WORKERS=3
      - ADD_SCORE_START_ID=1130
      - ADD_SCORE_INTERVAL_SECONDS=600
      - ADD_SCORE_DRY_RUN=
    entrypoint:
      - sh
      - -lc
      - |
        while true; do
          python scheduler/add_score_job.py \
            --cutoff-dt "$$ADD_SCORE_CUTOFF_DT" \
            --timeout "$$ADD_SCORE_TIMEOUT" \
            --workers "$$ADD_SCORE_WORKERS" \
            --start-id "$$ADD_SCORE_START_ID" \
            $${ADD_SCORE_DRY_RUN:+--dry-run};
          sleep "$$ADD_SCORE_INTERVAL_SECONDS";
        done