# 克隆项目
git clone <repository-url>
cd DW_MCP_Server

# 安装依赖
uv sync

# 运行服务器
uv run python main.py

# 安装依赖
pip install -r requirements.txt

# 运行服务器
python main.py

# 开发模式
uv run mcp dev main.py

# 或者直接运行
uv run python main.py

uv run mcp install main.py

# 使用 Google Speech Recognition
result = await transcribe_audio_file(
    file_path="/path/to/audio.wav",
    language="zh-CN",
    engine="google"
)

# 使用远程API（需配置API密钥）
result = await transcribe_audio_file(
    file_path="/path/to/audio.mp3",
    language="zh-CN",
    engine="remote_api"
)

# 直接调用远程API
result = await transcribe_with_remote_api(
    file_path="/path/to/audio.wav",
    api_type="bailian",  # 支持 bailian, openai, xunfei
    api_key="your_api_key",
    api_url="your_api_url",
    language="zh-CN"
)

file_paths = [
    "/path/to/audio1.wav",
    "/path/to/audio2.mp3",
    "/path/to/audio3.m4a"
]

results = await batch_transcribe(
    file_paths=file_paths,
    language="zh-CN",
    engine="whisper"
)

info = await analyze_audio_file("/path/to/audio.wav")
print(f"格式: {info.format}")
print(f"时长: {info.duration}秒")
print(f"采样率: {info.sample_rate}Hz")

output_path = await convert_audio_file_format(
    input_path="/path/to/audio.mp3",
    output_path="/path/to/output.wav",
    target_format="wav"
)

# 设置默认语言
export DEFAULT_LANGUAGE=zh-CN

# 设置默认引擎
export DEFAULT_ENGINE=remote_api

# 设置默认API类型
export DEFAULT_API_TYPE=bailian

# 配置API密钥和地址
export BAILIAN_API_KEY=your_bailian_api_key
export BAILIAN_API_URL=https://bailian.aliyuncs.com/v1/audio/transcriptions

# 在 main.py 中修改服务器配置
mcp = FastMCP(
    "语音转文字服务",
    dependencies=["speechrecognition", "pydub", "openai-whisper", "torch"]
)

uv sync --extra dev

uv run pytest

uv run black main.py
uv run isort main.py

uv run mypy main.py

# 启用详细日志
import logging
logging.basicConfig(level=logging.DEBUG)