# ============================================
# DeepTutor Docker Compose — Pre-built GHCR Image
# ============================================
# Run DeepTutor using the official pre-built image from GitHub Container Registry.
# No local build required — the image is pulled automatically.
#
# Usage:
#   docker compose -f docker-compose.ghcr.yml up -d
#
# To pin a specific version:
#   Edit the image tag below, e.g. ghcr.io/hkuds/deeptutor:1.0.0
#
# Prerequisites:
#   1. Copy .env.example to .env and fill in your API keys
#   2. Read the API URL note below before starting
#
# Local LLM (LM Studio / Ollama / vLLM):
#   Use "host.docker.internal" instead of "localhost" for LLM_HOST / EMBEDDING_HOST.
#   See .env.example for details.
#
# ============================================
# IMPORTANT: Frontend-to-Backend API URL
# ============================================
# The frontend (Next.js) runs entirely in the user's browser — not in the container.
# This means "localhost" in the browser refers to the USER'S MACHINE, not the Docker host.
#
# LOCAL deployment (Docker on the same machine you browse from):
#   Leave NEXT_PUBLIC_API_BASE_EXTERNAL blank. The default http://localhost:8001 works
#   because Docker maps port 8001 from the container to your local machine.
#
# REMOTE SERVER deployment (Docker on a server, accessed from another machine):
#   Set NEXT_PUBLIC_API_BASE_EXTERNAL to your server's public IP or hostname, e.g.:
#     NEXT_PUBLIC_API_BASE_EXTERNAL=http://203.0.113.10:8001
#   Without this, the browser will try to reach localhost:8001 on the USER'S laptop
#   (not the server), and all API calls will fail.
# ============================================

services:
  deeptutor:
    image: ghcr.io/hkuds/deeptutor:latest
    pull_policy: always
    container_name: deeptutor
    restart: unless-stopped
    ports:
      - "${BACKEND_PORT:-8001}:${BACKEND_PORT:-8001}"
      - "${FRONTEND_PORT:-3782}:${FRONTEND_PORT:-3782}"

    # Load environment variables from .env file
    env_file:
      - .env

    environment:
      # LLM Configuration (Required)
      - LLM_BINDING=${LLM_BINDING:-openai}
      - LLM_MODEL=${LLM_MODEL}
      - LLM_API_KEY=${LLM_API_KEY}
      - LLM_HOST=${LLM_HOST}
      - LLM_API_VERSION=${LLM_API_VERSION:-}
      - DISABLE_SSL_VERIFY=${DISABLE_SSL_VERIFY:-false}
      # Embedding Configuration (Required for Knowledge Base)
      - EMBEDDING_BINDING=${EMBEDDING_BINDING:-openai}
      - EMBEDDING_MODEL=${EMBEDDING_MODEL:-text-embedding-3-large}
      - EMBEDDING_API_KEY=${EMBEDDING_API_KEY}
      - EMBEDDING_HOST=${EMBEDDING_HOST}
      - EMBEDDING_DIMENSION=${EMBEDDING_DIMENSION:-3072}
      - EMBEDDING_API_VERSION=${EMBEDDING_API_VERSION:-}
      # Web Search Configuration (Optional)
      - SEARCH_PROVIDER=${SEARCH_PROVIDER:-}
      - SEARCH_API_KEY=${SEARCH_API_KEY:-}
      - SEARCH_BASE_URL=${SEARCH_BASE_URL:-}
      # Service Ports
      - BACKEND_PORT=${BACKEND_PORT:-8001}
      - FRONTEND_PORT=${FRONTEND_PORT:-3782}
      # API URL for remote/cloud deployment (see note above)
      # LOCAL:  leave blank
      # REMOTE: set to http://<your-server-ip>:8001 or https://your-domain.com:8001
      - NEXT_PUBLIC_API_BASE_EXTERNAL=${NEXT_PUBLIC_API_BASE_EXTERNAL:-}
      - NEXT_PUBLIC_API_BASE=${NEXT_PUBLIC_API_BASE:-}

    volumes:
      # Persistent data (created automatically on first start)
      - ./data/user:/app/data/user
      - ./data/memory:/app/data/memory
      - ./data/knowledge_bases:/app/data/knowledge_bases

    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:${BACKEND_PORT:-8001}/"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 60s

    networks:
      - deeptutor-network

networks:
  deeptutor-network:
    driver: bridge