#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
实时语音转文字系统主程序
基于sherpa-onnx的实时语音识别应用
"""

import sys
import argparse
import logging
from pathlib import Path

# 添加src目录到Python路径
sys.path.insert(0, str(Path(__file__).parent / "src"))

from src import RealTimeVTT, ModelDownloader, ModelConfig

def setup_logging(level: str = "INFO"):
    """设置日志"""
    logging.basicConfig(
        level=getattr(logging, level.upper()),
        format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
    )

def check_models() -> bool:
    """检查模型文件是否存在"""
    config = ModelConfig()
    missing_files = config.validate_model_files()
    
    if missing_files:
        print("错误: 缺少模型文件")
        print("缺少的文件:")
        for file_path in missing_files:
            print(f"  - {file_path}")
        print("\n请运行以下命令下载模型:")
        print("  python main.py --download-model")
        return False
    
    return True

def download_model_interactive():
    """交互式下载模型"""
    config = ModelConfig()
    downloader = ModelDownloader(config)
    downloader.interactive_download()

def main():
    """主函数"""
    parser = argparse.ArgumentParser(
        description="实时语音转文字系统",
        formatter_class=argparse.RawDescriptionHelpFormatter,
        epilog="""
示例用法:
  python main.py                    # 启动实时语音识别
  python main.py --download-model   # 下载语音识别模型
  python main.py --list-devices     # 列出音频设备
  python main.py --log-level DEBUG  # 启用调试日志
        """
    )
    
    parser.add_argument(
        "--download-model", 
        action="store_true", 
        help="下载语音识别模型"
    )
    
    parser.add_argument(
        "--list-devices", 
        action="store_true", 
        help="列出可用的音频设备"
    )
    
    parser.add_argument(
        "--log-level", 
        choices=["DEBUG", "INFO", "WARNING", "ERROR"], 
        default="INFO",
        help="设置日志级别 (默认: INFO)"
    )
    
    parser.add_argument(
        "--no-save", 
        action="store_true", 
        help="不保存识别结果到文件"
    )
    
    parser.add_argument(
        "--no-partial", 
        action="store_true", 
        help="不显示部分识别结果"
    )
    
    args = parser.parse_args()
    
    # 设置日志
    setup_logging(args.log_level)
    
    try:
        if args.download_model:
            # 下载模型
            download_model_interactive()
            return
        
        # 创建应用实例
        app = RealTimeVTT()
        
        # 应用配置
        if args.no_save:
            app.app_config.save_to_file = False
        
        if args.no_partial:
            app.app_config.show_partial_results = False
        
        if args.list_devices:
            # 列出音频设备
            if not app.audio_processor.initialize():
                print("错误: 无法初始化音频设备")
                return 1
            
            devices = app.list_audio_devices()
            print("可用的音频设备:")
            for device in devices:
                print(f"  [{device['index']}] {device['name']}")
                print(f"      通道数: {device['channels']}")
                print(f"      采样率: {device['sample_rate']} Hz")
            
            app.cleanup()
            return
        
        # 检查模型文件
        if not check_models():
            return 1
        
        # 初始化应用
        if not app.initialize():
            print("错误: 应用初始化失败")
            return 1
        
        # 运行应用
        app.run_interactive()
        
    except KeyboardInterrupt:
        print("\n程序被用户中断")
    except Exception as e:
        print(f"错误: {e}")
        if args.log_level == "DEBUG":
            import traceback
            traceback.print_exc()
        return 1
    
    return 0

if __name__ == "__main__":
    sys.exit(main())