"""
FunASR 使用示例
展示常见的语音识别应用场景
"""

from asr_service import ASRService, recognize_audio


def example_1_basic_recognition():
    """示例1: 基础识别"""
    print("=" * 60)
    print("示例1: 基础语音识别")
    print("=" * 60)

    # 方式1: 使用便捷函数
    # results = recognize_audio("meeting.wav")

    # 方式2: 使用服务类（推荐，可复用）
    service = ASRService(model_name="paraformer-zh")
    # results = service.recognize("meeting.wav")

    print("代码:")
    print("  from asr_service import recognize_audio")
    print("  results = recognize_audio('meeting.wav')")
    print("  for sent in results:")
    print("      print(sent)")
    print()
    print("输出格式:")
    print("  [SPEAKER_00] 大家好，今天的会议现在开始。 (0.50s - 3.20s)")
    print("  [SPEAKER_01] 好的，我先汇报一下进度。 (3.50s - 6.10s)")


def example_2_batch_processing():
    """示例2: 批量处理"""
    print("\n" + "=" * 60)
    print("示例2: 批量处理多个音频")
    print("=" * 60)

    print("代码:")
    print("  from pathlib import Path")
    print("  from asr_service import ASRService")
    print()
    print("  service = ASRService()")
    print("  audio_files = list(Path('./audio').glob('*.wav'))")
    print("  results = service.recognize_batch(audio_files)")
    print()
    print("  for audio_path, sentences in zip(audio_files, results):")
    print("      print(f'{audio_path}: {len(sentences)} 句话')")


def example_3_export_results():
    """示例3: 导出结果"""
    print("\n" + "=" * 60)
    print("示例3: 导出识别结果")
    print("=" * 60)

    print("代码:")
    print("  service = ASRService()")
    print("  sentences = service.recognize('meeting.wav')")
    print()
    print("  # 导出为 JSON")
    print("  service.export_to_json(sentences, 'meeting.json')")
    print()
    print("  # 导出为 SRT 字幕")
    print("  service.export_to_srt(sentences, 'meeting.srt')")
    print()
    print("JSON 输出示例:")
    print("""  {
    "total_sentences": 2,
    "sentences": [
      {
        "speaker": "SPEAKER_00",
        "text": "大家好",
        "begin_time": 0.50,
        "end_time": 3.20,
        "duration": 2.70
      }
    ]
  }""")


def example_4_different_models():
    """示例4: 选择不同模型"""
    print("\n" + "=" * 60)
    print("示例4: 选择不同模型")
    print("=" * 60)

    print("模型选择:")
    print()
    print("1. paraformer-zh (默认)")
    print("   - 达摩院出品，中文识别精度高")
    print("   - 支持说话人分离")
    print("   - 代码: ASRService(model_name='paraformer-zh')")
    print()
    print("2. SenseVoice")
    print("   - 多语言支持（中、英、日、韩等）")
    print("   - 支持情感识别")
    print("   - 代码: ASRService(model_name='SenseVoice')")


def example_5_hardware_options():
    """示例5: 硬件选择"""
    print("\n" + "=" * 60)
    print("示例5: 选择运行设备")
    print("=" * 60)

    print("设备选项:")
    print()
    print("  # 自动选择 (推荐)")
    print("  service = ASRService(device='auto')")
    print()
    print("  # 使用 GPU")
    print("  service = ASRService(device='cuda')")
    print()
    print("  # 使用 CPU")
    print("  service = ASRService(device='cpu')")


if __name__ == "__main__":
    example_1_basic_recognition()
    example_2_batch_processing()
    example_3_export_results()
    example_4_different_models()
    example_5_hardware_options()

    print("\n" + "=" * 60)
    print("提示: 运行测试请使用: python test_asr.py -f your_audio.wav")
    print("=" * 60)