version: '3'

services:

  # Service to download a model file.
  downloader:
    build:
      context: ./
      dockerfile: compile.Dockerfile
    # platform: "linux/amd64"
    # The command extracts the model filename from MODEL_URL and downloads it if it doesn't exist.
    command: /bin/sh -c "SD_MODEL_FILE=$(basename ${MODEL_URL}); if [ ! -f /converted_models/*.bin ]; then wget -O /converted_models/$SD_MODEL_FILE ${MODEL_URL}; python /sd.cpp/models/convert.py --out_type q4_0 --out_file /converted_models/$SD_MODEL_FILE; fi"
    # Mount a local directory to store the downloaded model.
    volumes:
      - ./models:/converted_models

  # Service to wait for the downloader service to finish downloading the model.
  wait-for-downloader:
    image: busybox
    # The command waits until the model file (specified in MODEL_URL) exists.
    command: /bin/sh -c "SD_MODEL_FILE=$(basename ${MODEL_URL}); echo 'Waiting for downloader to finish'; while [ ! -f /models/*.bin ]; do sleep 1; done; echo 'Model downloaded and converted!'"
    # Specifies that this service should start after the downloader service has started.
    depends_on:
      downloader:
        condition: service_started
    # Mount the same local directory to check for the downloaded model.
    volumes:
      - ./models:/models

  # Service to run the SD web application.
  sd:
    build:
      context: ./
      dockerfile: inference.Dockerfile
    # Mount the directory that contains the downloaded model.
    volumes:
      - ./models:/models
      - ./output/:/serving/output
    command:  /bin/bash -c "python -m uvicorn main:app --proxy-headers --host 0.0.0.0 --port 8000"
    # platform: "linux/amd64"
    environment:
      # Specify the path to the model for the web application.
      BASE_URL: http://0.0.0.0:8000
      MODEL_NAME: "v1-5-pruned-emaonly-ggml-model-q5_0.bin"
      MODEL_DIR: "/models"
      SD_PATH: "/sd"
      PYTHONUNBUFFERED: 1
    ports:
      - 8000:8000
    # Health check configuration
    # healthcheck:
    #   test: ["CMD", "wget", "--quiet", "--tries=1", "--spider", "http://localhost:8000"]
    #   interval: 30s
    #   timeout: 10s
    #   retries: 3
    #   start_period: 30s
    # Restart policy configuration
    restart: on-failure
    # Specifies that this service should start only after wait-for-downloader has completed successfully.
    depends_on:
      wait-for-downloader:
        condition: service_completed_successfully
    # Connect this service to two networks: inference_net and traefik_public.
    networks:
      - traefik_public

# Define networks used in this docker-compose file.
networks:
  # Public-facing network that Traefik uses. Marked as external to indicate it may be defined outside this file.
  traefik_public:
    external: true