AI/docker-compose.yml at develop · ITZEEP/AI · GitHub

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version: "3.8"

services:
  ai-service:
    build:
      context: .
      dockerfile: Dockerfile
      cache_from:
        - python:3.12-slim
    container_name: itzip-ai-service
    image: itzip-ai:latest
    ports:
      - "8000:8000"
    volumes:
      # Mount credentials (read-only)
      - ./credentials:/app/credentials:ro
      # Mount logs directory for persistence
      - ./logs:/app/logs
      # Mount law system documents
      - ./law_system:/app/law_system
      # Mount temp directory for file processing
      - ./temp:/app/temp
      # Mount data directory for vectorstore and documents
      - ./data:/app/data
      # Cache pip packages between container recreations
      - pip-cache:/root/.cache/pip
    env_file:
      - .env
    restart: unless-stopped
    healthcheck:
      test:
        [
          "CMD",
          "python",
          "-c",
          "import requests; requests.get('http://localhost:8000/api/health')",
        ]
      interval: 5m # 5분마다 체크
      timeout: 10s
      retries: 3
      start_period: 40s
    deploy:
      resources:
        limits:
          memory: 950M # 시스템을 위해 50MB 남겨둠
          cpus: "1.0"
        reservations:
          memory: 800M # 최소 보장 메모리
          cpus: "0.5"
    # entrypoint 직접 설정
    command:
      - /bin/bash
      - -c
      - |
        set -e
        echo "Starting AI OCR Service..."

        # Check Google Cloud credentials
        if [ -f '/app/credentials/private_key.json' ]; then
            echo "Google Cloud credentials found"
        else
            echo "Google Cloud credentials not found at /app/credentials/private_key.json"
        fi

        # Clean up old temporary files
        find /app/temp -type f -mtime +1 -delete 2>/dev/null || true

        # Initialize vectorstore if needed
        if [ -d '/app/data/vectorstore' ] && [ -n "$$(ls -A /app/data/vectorstore 2>/dev/null)" ]; then
            echo "Law vectorstore already exists"
        else
            echo "Checking for law documents..."
            if [ -d '/app/data/law_docs' ] && find /app/data/law_docs -name '*.pdf' -print -quit | grep -q .; then
                echo "Found law documents, initializing vectorstore..."
                python init_vectorstore.py || echo "Vectorstore initialization failed"
            else
                echo "No law documents found"
                mkdir -p /app/data/law_docs
            fi
        fi

        echo "Starting service with $${WORKERS:-1} workers..."
        exec uvicorn app.main:app --host 0.0.0.0 --port 8000 --workers $${WORKERS:-1} --limit-max-requests 100
    networks:
      - app-network

networks:
  app-network:
    driver: bridge
    name: itzip-network

volumes:
  pip-cache:
    driver: local