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VyaparFlow
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version: "3.8"

services:
  vyaparflow:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: vyaparflow-hf
    ports:
      - "7860:7860"
    environment:
      # ─────────────────────────────────────────────────────────────
      # Application Settings
      # ─────────────────────────────────────────────────────────────
      PYTHONUNBUFFERED: "1"
      PYTHONDONTWRITEBYTECODE: "1"
      PORT: "7860"
      
      # ─────────────────────────────────────────────────────────────
      # Demo Mode (change to false for live LLM)
      # ─────────────────────────────────────────────────────────────
      NOTIFLOW_DEMO_MODE: "true"
      
      # ─────────────────────────────────────────────────────────────
      # NVIDIA NIM Configuration
      # ─────────────────────────────────────────────────────────────
      NVIDIA_NIM_API_KEY: "${NVIDIA_NIM_API_KEY:-your_api_key_here}"
      NVIDIA_NIM_BASE_URL: "https://integrate.api.nvidia.com/v1"
      NVIDIA_NIM_MODEL: "deepseek-ai/deepseek-v3.2"
      NIM_PRIMARY_MODEL: "deepseek-ai/deepseek-v3.2"
      NIM_FALLBACK_MODEL: "deepseek-ai/deepseek-v3.1"
      
      # ─────────────────────────────────────────────────────────────
      # Google Gemini (optional fallback)
      # ─────────────────────────────────────────────────────────────
      GEMINI_API_KEY: "${GEMINI_API_KEY:-}"
      
      # ─────────────────────────────────────────────────────────────
      # OpenRouter (optional secondary fallback)
      # ─────────────────────────────────────────────────────────────
      OPENROUTER_API_KEY: "${OPENROUTER_API_KEY:-}"
      OPENROUTER_MODEL: "deepseek/deepseek-chat"
      OPENROUTER_REFERER: "http://localhost:7860"
      OPENROUTER_TITLE: "VyaparFlow-Docker"
      
      # ─────────────────────────────────────────────────────────────
      # Google Sheets (optional)
      # ─────────────────────────────────────────────────────────────
      GOOGLE_SHEETS_CREDENTIALS: "credentials/sheets.json"
      GOOGLE_SHEET_ID: "${GOOGLE_SHEET_ID:-}"
      
      # ─────────────────────────────────────────────────────────────
      # Logging
      # ─────────────────────────────────────────────────────────────
      LOG_LEVEL: "INFO"
    
    volumes:
      # Mount local data directory for persistence
      - ./data:/app/data
      # Optionally mount credentials (if available)
      - ./credentials:/app/credentials:ro
    
    # Health check for container orchestration
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:7860/health"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s
    
    # Resource limits (adjust based on your system)
    deploy:
      resources:
        limits:
          cpus: "2"
          memory: 2G
        reservations:
          cpus: "1"
          memory: 1G
    
    restart: unless-stopped

# ═════════════════════════════════════════════════════════════════════════
# USAGE:
# ═════════════════════════════════════════════════════════════════════════
# 
# Build image:
#   docker-compose build
# 
# Start service:
#   docker-compose up -d
# 
# View logs:
#   docker-compose logs -f vyaparflow
# 
# Test API:
#   curl http://localhost:7860/health
#   curl -X POST http://localhost:7860/process \
#     -H "Content-Type: application/json" \
#     -d '{"message": "rahul ne 15000 bheja"}'
# 
# Stop service:
#   docker-compose down
# 
# Remove image:
#   docker-compose down -v
# 
# ═════════════════════════════════════════════════════════════════════════