"""
Main entry point for the hf-eda-mcp server.

This module allows the package to be run as a module using:
python -m hf_eda_mcp
"""

import argparse
import sys
from hf_eda_mcp.config import ServerConfig
from hf_eda_mcp.server import launch_server


def main():
    """Main entry point with command line argument parsing."""
    parser = argparse.ArgumentParser(
        description="HuggingFace EDA MCP Server - Provides EDA tools for HuggingFace datasets via MCP",
        prog="hf-eda-mcp",
        formatter_class=argparse.RawDescriptionHelpFormatter,
        epilog="""
Examples:
  python -m hf_eda_mcp                    # Start server with default settings
  python -m hf_eda_mcp --port 8080       # Start server on port 8080
  python -m hf_eda_mcp --no-mcp          # Start without MCP server functionality
  python -m hf_eda_mcp --share           # Create public shareable link
  python -m hf_eda_mcp --host 0.0.0.0    # Listen on all interfaces

Environment Variables:
  HF_TOKEN                    HuggingFace access token for private datasets
  HF_EDA_PORT                 Server port (default: 7860)
  HF_EDA_HOST                 Server host (default: 127.0.0.1)
  HF_EDA_MCP_ENABLED          Enable MCP server (default: true)
  HF_EDA_SHARE                Enable public sharing (default: false)
  HF_EDA_LOG_LEVEL            Logging level (default: INFO)
  HF_EDA_CACHE_DIR            Cache directory for datasets
  HF_EDA_MAX_SAMPLE_SIZE      Maximum sample size (default: 50000)
  HF_EDA_MAX_CONCURRENT       Max concurrent requests (default: 10)
  HF_EDA_REQUEST_TIMEOUT      Request timeout in seconds (default: 300)
        """
    )
    
    parser.add_argument(
        "--port",
        type=int,
        help="Port to run the server on (overrides HF_EDA_PORT)"
    )
    
    parser.add_argument(
        "--host",
        type=str,
        help="Host to bind the server to (overrides HF_EDA_HOST)"
    )
    
    parser.add_argument(
        "--no-mcp",
        action="store_true",
        help="Disable MCP server functionality (web interface only)"
    )
    
    parser.add_argument(
        "--share",
        action="store_true",
        help="Create a public shareable link via Gradio"
    )
    
    parser.add_argument(
        "--verbose", "-v",
        action="store_true",
        help="Enable verbose logging (DEBUG level)"
    )
    
    parser.add_argument(
        "--log-level",
        choices=["DEBUG", "INFO", "WARNING", "ERROR"],
        help="Set logging level (overrides HF_EDA_LOG_LEVEL)"
    )
    
    parser.add_argument(
        "--cache-dir",
        type=str,
        help="Directory for caching datasets (overrides HF_EDA_CACHE_DIR)"
    )
    
    parser.add_argument(
        "--max-sample-size",
        type=int,
        help="Maximum sample size for analysis (overrides HF_EDA_MAX_SAMPLE_SIZE)"
    )
    
    args = parser.parse_args()
    
    # Load base configuration from environment
    config = ServerConfig.from_env()
    
    # Override with command line arguments
    if args.port is not None:
        config.port = args.port
    if args.host is not None:
        config.host = args.host
    if args.no_mcp:
        config.mcp_server = False
    if args.share:
        config.share = True
    if args.verbose:
        config.log_level = "DEBUG"
    if args.log_level:
        config.log_level = args.log_level
    if args.cache_dir:
        config.cache_dir = args.cache_dir
    if args.max_sample_size is not None:
        config.max_sample_size = args.max_sample_size
    
    try:
        # Launch server with configuration
        launch_server(config)
    except KeyboardInterrupt:
        print("\n👋 Server stopped by user")
        sys.exit(0)
    except Exception as e:
        print(f"❌ Error starting server: {e}")
        sys.exit(1)


if __name__ == "__main__":
    main()