#!/usr/bin/env python3
# -*- coding: utf-8 -*-

"""
语音识别使用示例
演示如何使用 speech_recognizer 模块
"""

import os
import asyncio
from speech_recognizer import SpeechRecognizer

async def example_recognize_file():
    """示例：识别单个音频文件"""
    print("=== 示例1：识别单个音频文件 ===")
    
    # 初始化识别器
    recognizer = SpeechRecognizer(
        app_key="your_app_key",  # 请替换为实际的app_key
        access_key="your_access_key"  # 请替换为实际的access_key
    )
    
    # 假设有一个录音文件
    audio_file = "recording_20240101_120000.wav"
    
    if not os.path.exists(audio_file):
        print(f"音频文件不存在: {audio_file}")
        print("请先运行 enhanced_wake_and_record.py 录制一个音频文件")
        return
    
    try:
        # 识别音频文件
        results = await recognizer.recognize_file(audio_file)
        
        print(f"识别结果（共{len(results)}个）:")
        for i, result in enumerate(results):
            print(f"结果 {i+1}:")
            print(f"  文本: {result.text}")
            print(f"  置信度: {result.confidence}")
            print(f"  最终结果: {result.is_final}")
            print("-" * 40)
    
    except Exception as e:
        print(f"识别失败: {e}")

async def example_recognize_latest():
    """示例：识别最新的录音文件"""
    print("\n=== 示例2：识别最新的录音文件 ===")
    
    # 初始化识别器
    recognizer = SpeechRecognizer(
        app_key="your_app_key",  # 请替换为实际的app_key
        access_key="your_access_key"  # 请替换为实际的access_key
    )
    
    try:
        # 识别最新的录音文件
        result = await recognizer.recognize_latest_recording()
        
        if result:
            print("识别结果:")
            print(f"  文本: {result.text}")
            print(f"  置信度: {result.confidence}")
            print(f"  最终结果: {result.is_final}")
        else:
            print("未找到录音文件或识别失败")
    
    except Exception as e:
        print(f"识别失败: {e}")

async def example_batch_recognition():
    """示例：批量识别多个录音文件"""
    print("\n=== 示例3：批量识别录音文件 ===")
    
    # 初始化识别器
    recognizer = SpeechRecognizer(
        app_key="your_app_key",  # 请替换为实际的app_key
        access_key="your_access_key"  # 请替换为实际的access_key
    )
    
    # 获取所有录音文件
    recording_files = [f for f in os.listdir(".") if f.startswith('recording_') and f.endswith('.wav')]
    
    if not recording_files:
        print("未找到录音文件")
        return
    
    print(f"找到 {len(recording_files)} 个录音文件")
    
    for filename in recording_files[:5]:  # 只处理前5个文件
        print(f"\n处理文件: {filename}")
        try:
            results = await recognizer.recognize_file(filename)
            
            if results:
                final_result = results[-1]  # 取最后一个结果
                print(f"识别结果: {final_result.text}")
            else:
                print("识别失败")
        
        except Exception as e:
            print(f"处理失败: {e}")
        
        # 添加延迟，避免请求过于频繁
        await asyncio.sleep(1)

async def main():
    """主函数"""
    print("🚀 语音识别使用示例")
    print("=" * 50)
    
    # 请先设置环境变量或在代码中填入实际的API密钥
    if not os.getenv("SAUC_APP_KEY") and "your_app_key" in "your_app_key":
        print("⚠️  请先设置 SAUC_APP_KEY 和 SAUC_ACCESS_KEY 环境变量")
        print("或者在代码中填入实际的 app_key 和 access_key")
        print("示例:")
        print("export SAUC_APP_KEY='your_app_key'")
        print("export SAUC_ACCESS_KEY='your_access_key'")
        return
    
    # 运行示例
    await example_recognize_file()
    await example_recognize_latest()
    await example_batch_recognition()

if __name__ == "__main__":
    asyncio.run(main())