asios.github.io/docker-compose.yml at main · Cloudhabil/asios.github.io · GitHub

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version: "3.8"

services:
  backend:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: cli-ai-backend
    ports:
      - "8000:8000"
    environment:
      # Connect to host's Ollama (Windows/Mac: host.docker.internal)
      - OLLAMA_HOST=http://host.docker.internal:11434
      - QWEN_BASE_URL=http://host.docker.internal:11434/v1
      - DEEPSEEK_BASE_URL=http://host.docker.internal:11434/v1
      - HEARTBEAT_INTERVAL=300
    volumes:
      # Persistent volumes for memory and data
      - cli-ai-memory:/app/skills/conscience/memory/store
      - cli-ai-data:/app/data
      - cli-ai-workflows:/app/data/workflows
      # Mount configs for hot-reload
      - ./configs:/app/configs:ro
    restart: always
    healthcheck:
      test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/api/status')"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s
    extra_hosts:
      # Allow container to reach host network (for Ollama)
      - "host.docker.internal:host-gateway"

  frontend:
    build:
      context: ./frontend
      dockerfile: Dockerfile
    container_name: cli-ai-frontend
    ports:
      - "5173:80"
    depends_on:
      backend:
        condition: service_healthy
    restart: always
    healthcheck:
      test: ["CMD", "wget", "--quiet", "--tries=1", "--spider", "http://localhost:80/"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 5s

  # Worker container for background task execution
  worker:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: cli-ai-worker
    command: ["python", "run.py", "--verbose"]
    environment:
      - OLLAMA_HOST=http://host.docker.internal:11434
      - QWEN_BASE_URL=http://host.docker.internal:11434/v1
      - DEEPSEEK_BASE_URL=http://host.docker.internal:11434/v1
      - HEARTBEAT_INTERVAL=300
    volumes:
      # Share memory and data with backend
      - cli-ai-memory:/app/skills/conscience/memory/store
      - cli-ai-data:/app/data
      - cli-ai-workflows:/app/data/workflows
      - ./configs:/app/configs:ro
    restart: always
    depends_on:
      backend:
        condition: service_healthy
    extra_hosts:
      - "host.docker.internal:host-gateway"

  # CI/CD Runner - Autonomous pipeline executor with multi-model intelligence
  # Uses: CodeGemma (quick), Qwen3 (creative), DeepSeek (reasoning)
  cicd:
    build:
      context: .
      dockerfile: Dockerfile.cicd
    container_name: cli-ai-cicd
    environment:
      # LLM endpoints for multi-model routing
      - OLLAMA_HOST=http://host.docker.internal:11434
      - QWEN_BASE_URL=http://host.docker.internal:11434/v1
      - DEEPSEEK_BASE_URL=http://host.docker.internal:11434/v1
      # CI/CD configuration
      - CICD_POLL_INTERVAL=60
      - CICD_AUTO_IMPROVE=true   #set false if not self-improvement allowed
      - PIPELINE_DATA_DIR=/app/data/pipeline_runs
      - ARTIFACTS_DIR=/app/data/artifacts
    volumes:
      # Shared data with other containers
      - cli-ai-memory:/app/skills/conscience/memory/store
      - cli-ai-data:/app/data
      - cli-ai-workflows:/app/data/workflows
      - cli-ai-pipelines:/app/data/pipeline_runs
      - cli-ai-artifacts:/app/data/artifacts
      # Workspace for builds
      - cli-ai-workspace:/workspace
      # Docker socket for container operations
      - /var/run/docker.sock:/var/run/docker.sock
      # Source code for analysis (read-only)
      - ./skills:/app/skills:ro
      - ./configs:/app/configs:ro
    restart: always
    depends_on:
      backend:
        condition: service_healthy
    extra_hosts:
      - "host.docker.internal:host-gateway"
    # Run with access to docker group
    group_add:
      - "999"  # Docker group (may vary by system)

# Named volumes for persistence across container restarts
volumes:
  cli-ai-memory:
    name: cli-ai-memory
    driver: local
  cli-ai-data:
    name: cli-ai-data
    driver: local
  cli-ai-workflows:
    name: cli-ai-workflows
    driver: local
  cli-ai-pipelines:
    name: cli-ai-pipelines
    driver: local
  cli-ai-artifacts:
    name: cli-ai-artifacts
    driver: local
  cli-ai-workspace:
    name: cli-ai-workspace
    driver: local

networks:
  default:
    name: cli-ai-network