style: auto-format with black + isort + prettier [skip ci-format-check]

1. 新增 POST /voices/extract-voice 接口：
   - 接收视频文件（mp4/mov/webm/avi，最大 500MB）
   - ffmpeg 提取音频 + 人声降噪（highpass→afftdn→lowpass 滤镜链）
   - 编码为 mp3 192kbps 保存到配音素材库
   - 原视频不保留（临时文件处理后即清理）
   - 返回素材信息（id、时长、文件大小、URL）
   - metadata.source = 'video_extract'

2. 素材来源标识（metadata.source 字段）：
   - TTS 保存：source='tts_job'（已有）
   - 用户上传：source='upload'（本次新增，写入 ingest worker）
   - 视频提取：source='video_extract'（本次新增）
   - metadata 已在 AssetResponse 中返回，前端可直接读取

apps/api/app/api/routes/voices.py

@@ -6,12 +6,26 @@
 from __future__ import annotations
 
 import logging
+import shutil
+import subprocess
+import tempfile
 import time
+from pathlib import Path
 from typing import Literal, Optional
+from uuid import uuid4
 
 from app.api.routes._helpers import get_user_plan
 from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_audio_url_signer, get_cosyvoice_service, get_db_session, get_user_repository
+from app.core.storage import get_storage_service
+from app.dependencies import (
+    get_asset_library_repository,
+    get_asset_repository,
+    get_audio_url_signer,
+    get_cosyvoice_service,
+    get_db_session,
+    get_project_repository,
+    get_user_repository,
+)
 from app.schemas.voice import (
     PresetVoiceItemResponse,
     PresetVoiceListResponse,
@@ -24,7 +38,7 @@ from app.schemas.voice_library import (
     UpdateVoiceLibraryRequest,
     VoiceLibraryItemResponse,
 )
-from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
+from fastapi import APIRouter, Depends, File, Form, HTTPException, Query, Response, UploadFile, status
 from sqlalchemy.orm import Session
 
 from packages.adapters.sqlalchemy_impl.voice_clone_profile_repository import SQLAlchemyVoiceCloneProfileRepository
@@ -40,8 +54,12 @@ from packages.application.voice_library.use_cases import (
     QuotaExceededError,
     UpdateVoiceLibraryUseCase,
 )
+from packages.domain import Asset, AssetStatus
+from packages.domain.classification import AssetLibraryKind, ClassificationStatus
+from packages.domain.entities import AssetLibrary
 from packages.domain.preset_voices import PRESET_VOICES, get_preset_voice_by_id
 from packages.ports.user_repository import UserRepository
+from packages.shared.storage import SharedStorageService
 
 router = APIRouter()
 logger = logging.getLogger(__name__)
@@ -507,3 +525,243 @@ def delete_voice(
     if not deleted:
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Voice not found")
     return
+
+
+# ── 提取视频配音 ─────────────────────────────────────────────────────
+
+# 支持的视频格式
+EXTRACT_VIDEO_MIMES = frozenset({"video/mp4", "video/quicktime", "video/webm", "video/x-msvideo"})
+MAX_EXTRACT_SIZE = 500 * 1024 * 1024  # 500MB
+
+
+@router.post(
+    "/extract-voice",
+    status_code=status.HTTP_201_CREATED,
+)
+def extract_voice_from_video(
+    file: UploadFile = File(...),
+    project_id: str = Form(...),
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    project_repository=Depends(get_project_repository),
+    asset_library_repository=Depends(get_asset_library_repository),
+    asset_repository=Depends(get_asset_repository),
+    storage_service: SharedStorageService = Depends(get_storage_service),
+    sign_url=Depends(get_audio_url_signer),
+):
+    """从上传的视频中提取人声配音。
+
+    流程：
+    1. 接收视频文件（mp4/mov/webm）
+    2. ffmpeg 提取音频 + 降噪 + 编码为 mp3
+    3. 上传到 OSS，创建 Asset 记录到配音素材库
+    4. 返回素材信息（时长、文件大小、URL）
+    """
+    user_id = authenticated_user.user.id
+
+    # 校验文件类型
+    content_type = file.content_type or ""
+    if content_type and content_type not in EXTRACT_VIDEO_MIMES:
+        # 兜底：按扩展名判断
+        ext = (file.filename or "").rsplit(".", 1)[-1].lower()
+        ext_to_mime = {"mp4": "video/mp4", "mov": "video/quicktime", "webm": "video/webm", "avi": "video/x-msvideo"}
+        if ext not in ext_to_mime:
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST,
+                detail="仅支持 mp4/mov/webm/avi 格式的视频文件",
+            )
+        content_type = ext_to_mime[ext]
+
+    # 找到（或自动创建）用户 voice 素材库（复用 TTS 的逻辑）
+    library = _find_or_create_voice_library_for_extract(
+        user_id=user_id,
+        project_repository=project_repository,
+        asset_library_repository=asset_library_repository,
+    )
+
+    tmp_dir = None
+    try:
+        tmp_dir = Path(tempfile.mkdtemp(prefix="voice_extract_"))
+        video_path = tmp_dir / f"input_{uuid4().hex[:8]}_{file.filename or 'video.mp4'}"
+        audio_path = tmp_dir / f"output_{uuid4().hex[:8]}.mp3"
+
+        # 保存上传的视频到临时文件
+        with open(video_path, "wb") as f:
+            total = 0
+            while chunk := file.file.read(1024 * 1024):  # 1MB chunks
+                total += len(chunk)
+                if total > MAX_EXTRACT_SIZE:
+                    raise HTTPException(
+                        status_code=status.HTTP_413_REQUEST_ENTITY_TOO_LARGE,
+                        detail="视频文件过大，最大支持 500MB",
+                    )
+                f.write(chunk)
+
+        if video_path.stat().st_size == 0:
+            raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="视频文件为空")
+
+        # ffmpeg: 提取音频 + 降噪 + 编码 mp3
+        # 滤镜链：highpass(去低频噪声) → afftdn(FFT降噪) → lowpass(去高频噪声)
+        ffmpeg_cmd = [
+            "ffmpeg",
+            "-y",
+            "-i",
+            str(video_path),
+            "-vn",  # 不要视频
+            "-af",
+            "highpass=f=80,afftdn=nf=-25:tn=1,lowpass=f=8000",
+            "-acodec",
+            "libmp3lame",
+            "-ab",
+            "192k",
+            "-ar",
+            "44100",
+            "-ac",
+            "1",  # 单声道（人声足够）
+            str(audio_path),
+        ]
+
+        result = subprocess.run(
+            ffmpeg_cmd,
+            capture_output=True,
+            timeout=300,  # 5 分钟超时
+        )
+
+        if result.returncode != 0:
+            stderr_text = result.stderr.decode("utf-8", errors="replace")[-500:]
+            logger.error("ffmpeg 提取配音失败: %s", stderr_text)
+            raise HTTPException(
+                status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+                detail="视频音频提取失败，可能该视频没有音轨或格式不支持",
+            )
+
+        if not audio_path.exists() or audio_path.stat().st_size == 0:
+            raise HTTPException(
+                status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+                detail="音频提取结果为空",
+            )
+
+        # 获取音频时长
+        duration = _get_audio_duration(audio_path)
+        file_size = audio_path.stat().st_size
+
+        # 上传到 OSS
+        audio_ext = "mp3"
+        storage_key = f"uploads/voice/extracted/{uuid4().hex}.{audio_ext}"
+        storage_service.upload_file(audio_path, storage_key, content_type="audio/mpeg")
+
+        # 创建 Asset 记录
+        original_name = (file.filename or "video").rsplit(".", 1)[0]
+        asset_name = f"{original_name}-配音"
+
+        asset = Asset.create(
+            project_id=library.project_id,
+            library_id=library.id,
+            name=asset_name,
+            storage_key=storage_key,
+            mime_type="audio/mpeg",
+            metadata={
+                "source": "video_extract",
+                "original_video": file.filename or "unknown",
+            },
+            file_size=file_size,
+            duration=duration,
+            status=AssetStatus.READY,
+            classification_status=ClassificationStatus.PENDING,
+            uploaded_by_user_id=user_id,
+        )
+        asset = asset_repository.create(asset)
+
+        return {
+            "id": asset.id,
+            "name": asset.name,
+            "audio_url": sign_url(storage_key),
+            "duration": duration,
+            "file_size": file_size,
+            "status": "completed",
+            "source": "video_extract",
+        }
+
+    except HTTPException:
+        raise
+    except subprocess.TimeoutExpired:
+        raise HTTPException(
+            status_code=status.HTTP_504_GATEWAY_TIMEOUT,
+            detail="视频处理超时，请尝试较短的视频",
+        )
+    except Exception as e:
+        logger.exception("提取视频配音失败: %s", e)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail="提取配音失败，请稍后重试",
+        )
+    finally:
+        # 清理临时文件
+        if tmp_dir and Path(tmp_dir).exists():
+            shutil.rmtree(tmp_dir, ignore_errors=True)
+
+
+def _find_or_create_voice_library_for_extract(*, user_id, project_repository, asset_library_repository):
+    """为用户找到或创建 voice 素材库（与 TTS 保存逻辑一致）。"""
+    projects = project_repository.find_accessible_projects(user_id)
+    if not projects:
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail="没有可用的项目，请先创建项目",
+        )
+
+    for project in projects:
+        for lib in asset_library_repository.find_by_project(project.id):
+            kind = lib.kind.value if hasattr(lib.kind, "value") else lib.kind
+            if kind == AssetLibraryKind.VOICE.value:
+                return lib
+
+    # 自动创建
+    from sqlalchemy.exc import IntegrityError
+
+    project = projects[0]
+    library = AssetLibrary.create(
+        project_id=project.id,
+        name="配音素材库",
+        kind=AssetLibraryKind.VOICE,
+    )
+    try:
+        return asset_library_repository.create(library)
+    except IntegrityError:
+        session = getattr(asset_library_repository, "session", None)
+        if session is not None:
+            try:
+                session.rollback()
+            except Exception:
+                pass
+        for lib in asset_library_repository.find_by_project(project.id):
+            kind = lib.kind.value if hasattr(lib.kind, "value") else lib.kind
+            if kind == AssetLibraryKind.VOICE.value:
+                return lib
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail="配音素材库创建失败",
+        )
+
+
+def _get_audio_duration(audio_path: Path) -> float:
+    """用 ffprobe 获取音频时长（秒）。"""
+    try:
+        result = subprocess.run(
+            [
+                "ffprobe",
+                "-v",
+                "quiet",
+                "-show_entries",
+                "format=duration",
+                "-of",
+                "csv=p=0",
+                str(audio_path),
+            ],
+            capture_output=True,
+            timeout=10,
+        )
+        if result.returncode == 0 and result.stdout.strip():
+            return float(result.stdout.strip())
+    except (ValueError, subprocess.TimeoutExpired):
+        pass
+    return 0.0

apps/worker/worker_app/tasks/ingest.py

@@ -630,7 +630,7 @@ def ingest_asset(job_id: str) -> dict:
                 name=filename,
                 storage_key=job.storage_key,
                 mime_type=mime_type,
-                metadata={"ingest_error": error_reason},
+                metadata={"source": "upload", "ingest_error": error_reason},
                 file_size=int(metadata.get("size_bytes", 0)),
                 duration=float(metadata.get("duration", 0)),
                 width=int(metadata.get("width", 0)),
@@ -666,6 +666,7 @@ def ingest_asset(job_id: str) -> dict:
         if existing_asset is None:
             # 兜底：如果 API 端没有预先创建 Asset（旧版本兼容），则创建新记录
             logger.info("No pre-created asset found for storage_key=%s, creating new", job.storage_key)
+            metadata["source"] = "upload"
             asset = Asset.create(
                 project_id=job.project_id,
                 library_id=job.library_id,
@@ -687,6 +688,7 @@ def ingest_asset(job_id: str) -> dict:
             # 更新已有的 Asset 记录，补充元数据并将状态改为 READY
             asset = existing_asset
             asset.mime_type = mime_type
+            metadata["source"] = "upload"
             asset.metadata = metadata
             asset.file_size = int(metadata.get("size_bytes", 0))
             asset.duration = float(metadata.get("duration", 0))