from app.mcp.decorators import mcp_tool
from pydantic import BaseModel, Field

from .core import get_video_audio_service


class VideoTranscriptionOutput(BaseModel):
    success: bool = Field(description="是否成功")
    text: str = Field(description="转录文本")
    audio_path: str | None = Field(default=None, description="临时音频路径")
    error: str | None = Field(default=None, description="错误信息")


@mcp_tool(
    name="video-transcribe",
    title="视频转录",
    description="从 Base64 视频提取音频并转录为文本",
    annotations={"readOnlyHint": True, "destructiveHint": False},
)
async def transcribe_video_base64(
    video_base64: str,
    suffix: str = ".mp4",
    language: str | None = None,
) -> VideoTranscriptionOutput:
    result = get_video_audio_service().transcribe_video_base64(
        video_base64,
        suffix,
        language,
    )
    return VideoTranscriptionOutput(**result)


@mcp_tool(
    name="video-file",
    title="视频文件转录",
    description="从本地视频文件提取音频并转录为文本",
    annotations={"readOnlyHint": True, "destructiveHint": False},
)
async def transcribe_video_file(
    video_path: str,
    language: str | None = None,
) -> VideoTranscriptionOutput:
    result = get_video_audio_service().transcribe_video_file(video_path, language)
    return VideoTranscriptionOutput(**result)