docker-compose.yml

# OCD (Omni Coder Dashboard) — Docker Compose
#
# Usage:
#   docker compose up          # start in foreground
#   docker compose up -d       # start in background
#   docker compose down        # stop
#
# The dashboard auto-discovers your AI tool data from host mounts (read-only).
# Semantic embeddings (ONNX) work out of the box — no API keys needed.
# Database and model cache are persisted in ./data/

services:
  dashboard:
    build: .
    env_file:
      - path: .env
        required: false
    ports:
      - "3030:3030"
    volumes:
      # AI tool data (read-only from host)
      # Windows: set CLAUDE_DIR, CURSOR_DIR, GEMINI_DIR in .env or shell
      #   e.g. CLAUDE_DIR=C:/Users/YourName/.claude
      # macOS/Linux: defaults work automatically (~/.claude, etc.)
      - type: bind
        source: ${CLAUDE_DIR:-~/.claude}
        target: /home/dashboard/.claude
        read_only: true
      - type: bind
        source: ${CURSOR_DIR:-~/.cursor}
        target: /home/dashboard/.cursor
        read_only: true
      - type: bind
        source: ${GEMINI_DIR:-~/.gemini}
        target: /home/dashboard/.gemini
        read_only: true
      # Persistent database
      - ./data:/app/data
    environment:
      - PORT=3030
      - DB_PATH=/app/data/analytics.db
      - BIND=0.0.0.0   # required for Docker — container needs to accept external connections
      - AUTH_TOKEN=${OCD_AUTH_TOKEN:-ocd-local-dev}
      # Ollama running on host (Docker Desktop: use host.docker.internal)
      # - OLLAMA_HOST=http://host.docker.internal:11434
      # - OLLAMA_MODEL=qwen2.5-coder:7b
      # Azure OpenAI (alternative to Ollama)
      # - AZURE_OPENAI_API_KEY=
      # - AZURE_OPENAI_ENDPOINT=
      # - AZURE_OPENAI_DEPLOYMENT_CHAT=gpt-5.2-chat
      # Other providers
      # - ANTHROPIC_API_KEY=
      # - OPENAI_API_KEY=
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "wget", "-qO-", "http://localhost:3030/api/health"]
      interval: 30s
      timeout: 5s
      retries: 3