message / plugins /video /api.py
hunian
refactor(plugins): 插件短名并统一 MCP tool 为 {plugin}-{tool}
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import base64
import tempfile
from pathlib import Path
from fastapi import APIRouter, HTTPException, UploadFile, Query
from pydantic import BaseModel
from .core import get_video_audio_service
from plugins.audio.asr_drivers import get_asr_registry
from app.plugins.run_log import get_run_log_service, RunStatus
router = APIRouter()
plugin = None
def set_plugin_instance(plugin_instance):
global plugin
plugin = plugin_instance
class VideoBase64Request(BaseModel):
video_base64: str
suffix: str = ".mp4"
language: str | None = None
provider: str | None = None
@router.get("/status")
async def get_status():
if plugin is None:
return {
"name": "video",
"enabled": False,
"message": "插件未加载",
}
return plugin.get_status()
@router.post("/upload/transcribe")
async def transcribe_video_upload(
file: UploadFile,
language: str | None = None,
provider: str | None = None,
wait: bool = Query(False, description="是否同步等待转录完成"),
):
"""上传视频文件,提取音频并转录
默认异步返回 run_id,设置 wait=true 同步等待结果。
"""
if plugin is None or not plugin.enabled:
raise HTTPException(status_code=400, detail="插件未启用")
# 获取 ASR registry
registry = get_asr_registry()
provider_name = provider or registry.get_default_provider()
driver = registry.get_driver(provider_name)
if driver is None:
raise HTTPException(status_code=400, detail=f"未知的 ASR provider: {provider_name}")
# 检查 provider 可用性
availability = driver.check_availability()
if availability.value != "available":
raise HTTPException(
status_code=400,
detail=f"ASR provider {provider_name} 不可用: {availability.value}",
)
# 创建 run
run_service = get_run_log_service()
run = run_service.create_run("video")
# 写入上传事件
run_service.add_event(
run_id=run.run_id,
stage="upload",
message=f"视频文件已上传: {file.filename}",
detail=f"provider={provider_name}, language={language}",
)
# 保存上传文件到临时目录
content = await file.read()
suffix = "." + file.filename.rsplit(".", 1)[-1] if "." in file.filename else ".mp4"
with tempfile.NamedTemporaryFile(delete=False, suffix=suffix) as tmp_file:
tmp_file.write(content)
tmp_path = tmp_file.name
try:
# 写入音频提取开始事件
run_service.add_event(
run_id=run.run_id,
stage="extract_audio",
message="开始从视频提取音频",
)
# 提取音频
video_service = get_video_audio_service()
extraction = video_service.extract_audio(tmp_path)
if not extraction["success"]:
# 写入提取失败事件
run_service.add_event(
run_id=run.run_id,
stage="extract_audio",
message=f"音频提取失败: {extraction['error']}",
level="error",
)
run_service.finish_run(
run_id=run.run_id,
status=RunStatus.FAILED,
error=extraction["error"],
)
raise HTTPException(status_code=400, detail=extraction["error"])
# 写入音频提取完成事件
run_service.add_event(
run_id=run.run_id,
stage="extract_audio",
message="音频提取完成",
)
# 写入模型探测事件
run_service.add_event(
run_id=run.run_id,
stage="model_probe",
message=f"模型探测: {driver.model_id}",
detail=f"provider={provider_name}, status={availability.value}",
)
# 写入转录开始事件
run_service.add_event(
run_id=run.run_id,
stage="transcribe",
message="开始转录",
)
# 执行转录
audio_path = extraction["audio_path"]
result = driver.transcribe(audio_path, language)
# 清理提取的音频文件
Path(audio_path).unlink(missing_ok=True)
if result.success:
# 写入转录完成事件
run_service.add_event(
run_id=run.run_id,
stage="transcribe",
message=f"转录完成: {len(result.text)} 字符",
detail=f"timings={result.timings}",
)
# 完成 run
run_service.finish_run(
run_id=run.run_id,
status=RunStatus.SUCCEEDED,
result={
"text": result.text,
"segments": result.segments,
"provider": result.provider,
"model": result.model,
"timings": result.timings,
},
)
else:
# 写入转录失败事件
run_service.add_event(
run_id=run.run_id,
stage="transcribe",
message=f"转录失败: {result.error}",
level="error",
)
# 完成 run(失败)
run_service.finish_run(
run_id=run.run_id,
status=RunStatus.FAILED,
error=result.error,
)
# 如果同步等待,直接返回结果
if wait:
return {
"run_id": run.run_id,
"status": "succeeded" if result.success else "failed",
"provider": result.provider,
"model": result.model,
"text": result.text,
"segments": result.segments,
"timings": result.timings,
"error": result.error,
}
# 异步返回 run_id
return {
"run_id": run.run_id,
"status": "running",
"provider": provider_name,
"model": driver.model_id,
}
except HTTPException:
raise
except Exception as e:
# 写入异常事件
run_service.add_event(
run_id=run.run_id,
stage="transcribe",
message=f"转录异常: {str(e)}",
level="error",
)
run_service.finish_run(
run_id=run.run_id,
status=RunStatus.FAILED,
error=str(e),
)
raise HTTPException(status_code=500, detail=f"转录失败: {str(e)}")
finally:
# 清理临时文件
Path(tmp_path).unlink(missing_ok=True)
@router.post("/video-base64/transcribe")
async def transcribe_video_base64(request: VideoBase64Request):
"""Base64 视频转录(兼容旧接口)"""
if plugin is None or not plugin.enabled:
raise HTTPException(status_code=400, detail="插件未启用")
# 获取 ASR registry
registry = get_asr_registry()
provider_name = request.provider or registry.get_default_provider()
driver = registry.get_driver(provider_name)
if driver is None:
raise HTTPException(status_code=400, detail=f"未知的 ASR provider: {provider_name}")
# 检查 provider 可用性
availability = driver.check_availability()
if availability.value != "available":
raise HTTPException(
status_code=400,
detail=f"ASR provider {provider_name} 不可用: {availability.value}",
)
# 创建 run
run_service = get_run_log_service()
run = run_service.create_run("video")
# 写入上传事件
run_service.add_event(
run_id=run.run_id,
stage="upload",
message="Base64 视频已接收",
detail=f"provider={provider_name}, language={request.language}",
)
# 解码 Base64 并保存到临时文件
try:
video_bytes = base64.b64decode(request.video_base64)
except Exception as e:
run_service.finish_run(run_id=run.run_id, status=RunStatus.FAILED, error=f"Base64 解码失败: {e}")
raise HTTPException(status_code=400, detail=f"Base64 解码失败: {e}")
suffix = request.suffix if request.suffix.startswith(".") else f".{request.suffix}"
with tempfile.NamedTemporaryFile(delete=False, suffix=suffix) as tmp_file:
tmp_file.write(video_bytes)
tmp_path = tmp_file.name
try:
# 写入音频提取开始事件
run_service.add_event(
run_id=run.run_id,
stage="extract_audio",
message="开始从视频提取音频",
)
# 提取音频
video_service = get_video_audio_service()
extraction = video_service.extract_audio(tmp_path)
if not extraction["success"]:
# 写入提取失败事件
run_service.add_event(
run_id=run.run_id,
stage="extract_audio",
message=f"音频提取失败: {extraction['error']}",
level="error",
)
run_service.finish_run(
run_id=run.run_id,
status=RunStatus.FAILED,
error=extraction["error"],
)
return {
"run_id": run.run_id,
"status": "failed",
"error": extraction["error"],
}
# 写入音频提取完成事件
run_service.add_event(
run_id=run.run_id,
stage="extract_audio",
message="音频提取完成",
)
# 写入模型探测事件
run_service.add_event(
run_id=run.run_id,
stage="model_probe",
message=f"模型探测: {driver.model_id}",
detail=f"provider={provider_name}, status={availability.value}",
)
# 写入转录开始事件
run_service.add_event(
run_id=run.run_id,
stage="transcribe",
message="开始转录",
)
# 执行转录
audio_path = extraction["audio_path"]
result = driver.transcribe(audio_path, request.language)
# 清理提取的音频文件
Path(audio_path).unlink(missing_ok=True)
if result.success:
# 写入转录完成事件
run_service.add_event(
run_id=run.run_id,
stage="transcribe",
message=f"转录完成: {len(result.text)} 字符",
detail=f"timings={result.timings}",
)
# 完成 run
run_service.finish_run(
run_id=run.run_id,
status=RunStatus.SUCCEEDED,
result={
"text": result.text,
"segments": result.segments,
"provider": result.provider,
"model": result.model,
"timings": result.timings,
},
)
else:
# 写入转录失败事件
run_service.add_event(
run_id=run.run_id,
stage="transcribe",
message=f"转录失败: {result.error}",
level="error",
)
# 完成 run(失败)
run_service.finish_run(
run_id=run.run_id,
status=RunStatus.FAILED,
error=result.error,
)
return {
"run_id": run.run_id,
"status": "succeeded" if result.success else "failed",
"provider": result.provider,
"model": result.model,
"text": result.text,
"segments": result.segments,
"timings": result.timings,
"error": result.error,
}
except Exception as e:
# 写入异常事件
run_service.add_event(
run_id=run.run_id,
stage="transcribe",
message=f"转录异常: {str(e)}",
level="error",
)
run_service.finish_run(
run_id=run.run_id,
status=RunStatus.FAILED,
error=str(e),
)
raise HTTPException(status_code=500, detail=f"转录失败: {str(e)}")
finally:
# 清理临时文件
Path(tmp_path).unlink(missing_ok=True)