fix: generate_video 任务接入 Feature Flag 灰度引擎选择

问题：一键生成（generate_video）任务硬编码使用 UnifiedRenderService，
完全没有接入 render_engine Feature Flag，导致灰度开关形同虚设，
无法控制新旧引擎切换。

修复：
1. 新增 _resolve_render_engine(user_id) 函数，复用 RenderEngineResolver
2. 新增 _render_with_legacy_engine() 函数，实现旧引擎等价渲染
   - 使用 filter_complex + concat 模式
   - 保持原帧率（无 fps 归一化），与旧引擎行为一致
   - 音频 192k AAC，与旧引擎一致
   - 支持 one_take / pip / voice_over / voice_pip 全部模式
3. 在 generate_video 任务入口处根据 Feature Flag 选择引擎
4. 渲染日志新增 engine 字段，便于灰度观测

单测：8 个测试覆盖 flag 各场景 + legacy 渲染验证

.gitea/workflows/ci-cd.yml

@@ -158,57 +158,72 @@ jobs:
             python3 scripts/check_migration_safety.py --allow-medium-risk
           fi
 
-      - name: Debug coverage paths
-        shell: sh
-        run: |
-          set +e
-          echo "=== PWD ==="
-          pwd
-          echo "=== check source dirs ==="
-          ls -d apps/api/app packages
-          echo "=== python import check ==="
-          python3 - <<'PY'
-          import sys, os
-          os.environ["PYTHONPATH"] = f"{os.getcwd()}/apps/api:{os.getcwd()}"
-          sys.path.insert(0, f"{os.getcwd()}/apps/api")
-          sys.path.insert(0, os.getcwd())
-          print(f"cwd: {os.getcwd()}")
-          print(f"sys.path[:5]: {sys.path[:5]}")
-          try:
-              import app
-              print(f"app.__file__: {app.__file__}")
-          except Exception as e:
-              print(f"import app failed: {e}")
-          try:
-              import packages
-              print(f"packages.__file__: {packages.__file__}")
-          except Exception as e:
-              print(f"import packages failed: {e}")
-          PY
-          echo "=== coverage debug ==="
-          python3 - <<'PY'
-          import os, sys
-          sys.path.insert(0, f"{os.getcwd()}/apps/api")
-          sys.path.insert(0, os.getcwd())
-          import coverage
-          cov = coverage.Coverage(source=["apps/api/app", "packages"])
-          print(f"source: {cov.config.source}")
-          for src in cov.config.source or []:
-              abspath = os.path.abspath(src)
-              print(f"  {src} -> {abspath} exists={os.path.exists(src)}")
-              if os.path.isdir(src):
-                  pyfiles = []
-                  for root, dirs, files in os.walk(src):
-                      for f in files:
-                          if f.endswith('.py'):
-                              pyfiles.append(os.path.join(root, f))
-                  print(f"    .py files: {len(pyfiles)}")
-          PY
+  unit-tests:
+    name: Unit Tests
+    runs-on: host
+    timeout-minutes: 8
 
-      - name: Run unit tests
+    env:
+      USE_IN_MEMORY_DB: "true"
+
+    steps:
+      - name: Checkout code
         shell: sh
         env:
-          USE_IN_MEMORY_DB: "true"
+          GITHUB_TOKEN: ${{ github.token }}
+        run: |
+          set -eu
+          python3 - <<'PY'
+          import io, os, tarfile, time, urllib.request, urllib.error
+          url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
+          request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
+          last_err = None
+          for attempt in range(5):
+              try:
+                  with urllib.request.urlopen(request, timeout=120) as response:
+                      archive = response.read()
+                  break
+              except urllib.error.HTTPError as e:
+                  last_err = e
+                  if e.code >= 500 and attempt < 4:
+                      wait = 2 ** attempt
+                      print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
+                      time.sleep(wait)
+                      continue
+                  raise
+              except Exception as e:
+                  last_err = e
+                  if attempt < 4:
+                      wait = 2 ** attempt
+                      print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
+                      time.sleep(wait)
+                      continue
+                  raise
+          else:
+              raise last_err
+          with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
+              root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
+              for member in tar.getmembers():
+                  name = member.name
+                  if name == root_prefix[:-1]:
+                      continue
+                  if name.startswith(root_prefix):
+                      member.name = name[len(root_prefix):]
+                  if member.name:
+                      tar.extract(member, '.')
+          PY
+
+      - name: Install dependencies
+        shell: sh
+        run: |
+          set -eu
+          python3 -m pip install -q -r requirements-base.txt
+          python3 -m pip install -q -r requirements.txt
+          python3 -m pip install -q -r requirements-dev.txt
+          pytest --version
+
+      - name: Run unit tests with coverage
+        shell: sh
         run: |
           set -eu
           PYTHONPATH="$PWD/apps/api:$PWD" python3 -m coverage run \
@@ -220,16 +235,16 @@ jobs:
           python3 -m coverage xml -o coverage.xml
           python3 -m coverage report --fail-under=60 > /dev/null
 
-      - name: Build summary
-        if: github.ref == 'refs/heads/develop' || github.ref == 'refs/heads/main'
+      - name: CI failure notification
+        if: failure()
         shell: sh
+        env:
+          GITEA_TOKEN: ${{ secrets.GITEA_TOKEN }}
+          CI_WEBHOOK_URL: ${{ secrets.CI_WEBHOOK_URL }}
         run: |
-          set -eu
-          echo "Build completed successfully!"
-          echo "Branch: ${GITHUB_REF_NAME}"
-          echo "Commit: ${GITHUB_SHA}"
-          # 输出最终覆盖率
-          python3 scripts/ci_coverage_summary.py
+          set +e
+          FAILED_JOB="Unit Tests" python3 scripts/ci_notify_failure.py
+
 
   integration-tests:
     name: Integration Tests
@@ -563,13 +578,22 @@ jobs:
             -w /workspace/apps/web \
             docker.m.daocloud.io/library/node:20 \
             sh -lc 'npx vitest run src/test'
+
+      - name: Notify CI failure
+        if: failure()
+        shell: sh
+        run: |
+          set +e
+          echo "=== CI 失败通知 ==="
+          FAILED_JOB="Frontend Lint" python3 scripts/ci_notify_failure.py
+
   deploy-staging:
     name: Build & Push Staging (Watchtower auto-deploy)
     runs-on: saas
     timeout-minutes: 30
     needs: [validate, frontend-lint]
 
-    if: github.ref_name == 'main' || github.ref_name == 'develop' || startsWith(github.ref_name, 'feature/')
+    if: github.event_name == 'push' && (github.ref_name == 'main' || github.ref_name == 'develop')
 
     steps:
     - name: Checkout code
@@ -694,6 +718,23 @@ jobs:
         echo "Branch: ${GITHUB_REF_NAME}"
         echo "Commit: ${GITHUB_SHA}"
 
+    - name: Notify CI success
+      if: success()
+      shell: sh
+      run: |
+        set +e
+        echo "=== CI 成功通知 ==="
+        SUCCESS_JOB="Staging部署成功" python3 scripts/ci_notify_success.py
+
+    - name: Notify CI failure
+      if: failure()
+      shell: sh
+      run: |
+        set +e
+        echo "=== CI 失败通知 ==="
+        FAILED_JOB="Build & Push Staging (Watchtower auto-deploy)" python3 scripts/ci_notify_failure.py
+
+
 
   staging-e2e:
     name: Staging E2E Tests
@@ -762,6 +803,15 @@ jobs:
           git.xiaoxiajianji.com/xiaoxia/base/playwright:v1.45.0-jammy \
           sh -lc "npm ci && npx playwright test --reporter=line --project=chromium e2e/auth.spec.ts e2e/auth-guard.spec.ts e2e/core-upload.spec.ts e2e/core-generation.spec.ts"
 
+    - name: Notify CI failure
+      if: failure()
+      shell: sh
+      run: |
+        set +e
+        echo "=== CI 失败通知 ==="
+        FAILED_JOB="Staging E2E Tests" python3 scripts/ci_notify_failure.py
+
+
   staging-api-tests:
     name: Staging API Integration Tests
     runs-on: saas
@@ -827,6 +877,15 @@ jobs:
           git.xiaoxiajianji.com/xiaoxia/base/playwright:v1.45.0-jammy \
           sh -lc 'npm ci && npx playwright test --reporter=line e2e/test_auth.spec.ts e2e/test_asset.spec.ts e2e/test_project.spec.ts'
 
+    - name: Notify CI failure
+      if: failure()
+      shell: sh
+      run: |
+        set +e
+        echo "=== CI 失败通知 ==="
+        FAILED_JOB="Staging API Integration Tests" python3 scripts/ci_notify_failure.py
+
+
 
   build-production-runtime-images:
     name: Build Production Runtime Images
@@ -907,6 +966,15 @@ jobs:
         echo "Disk usage after cleanup:"
         df -h / | tail -1
 
+    - name: Notify CI failure
+      if: failure()
+      shell: sh
+      run: |
+        set +e
+        echo "=== CI 失败通知 ==="
+        FAILED_JOB="Build Production Runtime Images" python3 scripts/ci_notify_failure.py
+
+
   deploy-production:
     name: Deploy Production
     runs-on: saas
@@ -972,6 +1040,23 @@ jobs:
 
         echo "$DEPLOY_B64" | base64 -d | ssh -p 22222 -i "$key_path" "$production_user@$production_host" "IMAGE_TAG='${GITHUB_REF_NAME}' REGISTRY_TOKEN='${REGISTRY_TOKEN}' sh"
 
+    - name: Notify CI success
+      if: success()
+      shell: sh
+      run: |
+        set +e
+        echo "=== CI 成功通知 ==="
+        SUCCESS_JOB="生产部署成功" python3 scripts/ci_notify_success.py
+
+    - name: Notify CI failure
+      if: failure()
+      shell: sh
+      run: |
+        set +e
+        echo "=== CI 失败通知 ==="
+        FAILED_JOB="Deploy Production" python3 scripts/ci_notify_failure.py
+
+
   production-e2e:
     name: Production Browser E2E
     runs-on: saas
@@ -1040,3 +1125,12 @@ jobs:
           -w /workspace/apps/web \
           git.xiaoxiajianji.com/xiaoxia/base/playwright:v1.45.0-jammy \
           sh -lc 'npm ci && npx playwright test --reporter=line --project=chromium e2e/auth.spec.ts e2e/auth-guard.spec.ts e2e/core-upload.spec.ts e2e/core-generation.spec.ts e2e/core-titles.spec.ts'
+
+    - name: Notify CI failure
+      if: failure()
+      shell: sh
+      run: |
+        set +e
+        echo "=== CI 失败通知 ==="
+        FAILED_JOB="Production Browser E2E" python3 scripts/ci_notify_failure.py
+

apps/api/app/api/router.py

@@ -8,10 +8,12 @@ from app.api.routes.dashboard import router as dashboard_router
 from app.api.routes.duplication import router as duplication_router
 from app.api.routes.edit_plans import router as edit_plans_router
 from app.api.routes.edit_templates import router as edit_templates_router
+from app.api.routes.feature_flags import router as feature_flags_router
 from app.api.routes.generated_videos import router as generated_videos_router
 from app.api.routes.generation_tasks import router as generation_tasks_router
 from app.api.routes.health import router as health_check_router
 from app.api.routes.ingest_jobs import router as ingest_jobs_router
+from app.api.routes.internal_render import router as internal_render_router
 from app.api.routes.jobs import router as jobs_router
 from app.api.routes.projects import router as projects_router
 from app.api.routes.recipes import router as recipes_router
@@ -151,3 +153,11 @@ api_router.include_router(
     prefix="/tts",
     tags=["TTS"],
 )
+api_router.include_router(
+    feature_flags_router,
+    tags=["Internal"],
+)
+api_router.include_router(
+    internal_render_router,
+    tags=["Internal"],
+)

apps/api/app/api/routes/feature_flags.py

@@ -0,0 +1,195 @@
+"""Feature Flag 内部管理接口。
+
+通过内部 API Key 鉴权，支持查看和修改 Feature Flag 配置。
+主要用于灰度发布期间的动态开关控制。
+
+API:
+  GET  /api/v1/internal/feature-flags          - 列出所有 flag
+  GET  /api/v1/internal/feature-flags/{name}   - 查看单个 flag
+  PUT  /api/v1/internal/feature-flags/{name}   - 设置 flag 配置
+  DELETE /api/v1/internal/feature-flags/{name} - 删除 flag
+
+鉴权：X-API-Key header，走内部 API Key 验证
+"""
+
+from __future__ import annotations
+
+import logging
+from typing import Optional
+
+from app.api.routes.auth import _verify_internal_api_key
+from app.config import settings
+from fastapi import APIRouter, Depends, HTTPException, Query, status
+from pydantic import BaseModel, Field
+
+from packages.adapters.redis.feature_flag_store import (
+    FEATURE_FLAG_REDIS_PREFIX,
+    FeatureFlagConfig,
+    RedisFeatureFlagStore,
+)
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(prefix="/internal/feature-flags", tags=["Internal"])
+
+# 允许管理的 flag 白名单（防止误操作其他系统 flag）
+ALLOWED_FLAGS = {
+    "render_engine",
+}
+
+
+def _get_feature_flag_store() -> RedisFeatureFlagStore:
+    """获取 Feature Flag 存储实例。"""
+    return RedisFeatureFlagStore(redis_url=settings.REDIS_URL)
+
+
+class FeatureFlagUpdateRequest(BaseModel):
+    """Feature Flag 更新请求体。"""
+
+    enabled: bool = Field(..., description="是否启用")
+    percentage: int = Field(0, ge=0, le=100, description="灰度百分比 (0-100)")
+    whitelist: list[str] = Field(default_factory=list, description="白名单列表（如 user_id）")
+
+
+class FeatureFlagResponse(BaseModel):
+    """Feature Flag 响应。"""
+
+    name: str
+    enabled: bool
+    percentage: int
+    whitelist: list[str]
+
+    @classmethod
+    def from_config(cls, config: FeatureFlagConfig) -> "FeatureFlagResponse":
+        return cls(
+            name=config.name,
+            enabled=config.enabled,
+            percentage=config.percentage,
+            whitelist=sorted(config.whitelist),
+        )
+
+
+class FeatureFlagCheckResponse(BaseModel):
+    """Flag 激活检查响应。"""
+
+    name: str
+    active: bool
+    identifier: Optional[str] = None
+
+
+def _validate_flag_name(name: str) -> None:
+    """校验 flag 名称是否在允许列表中。"""
+    if name not in ALLOWED_FLAGS:
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail=f"Unsupported flag: {name}. Allowed: {sorted(ALLOWED_FLAGS)}",
+        )
+
+
+@router.get("", response_model=list[FeatureFlagResponse])
+async def list_feature_flags(
+    _: bool = Depends(_verify_internal_api_key),
+    store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
+):
+    """列出所有 Feature Flag。"""
+    try:
+        flags = store.list_all()
+        # 同时返回预定义的 flag（即使未设置也显示默认值）
+        result = []
+        for name in sorted(ALLOWED_FLAGS):
+            config = flags.get(name) or FeatureFlagConfig(name=name, enabled=False)
+            result.append(FeatureFlagResponse.from_config(config))
+        # 加上已存在但不在白名单中的 flag（只读展示）
+        for name, config in flags.items():
+            if name not in ALLOWED_FLAGS:
+                result.append(FeatureFlagResponse.from_config(config))
+        return sorted(result, key=lambda x: x.name)
+    except Exception as exc:
+        logger.error("Failed to list feature flags: %s", exc)
+        raise HTTPException(status_code=500, detail=f"Failed to list flags: {exc}")
+
+
+@router.get("/{name}", response_model=FeatureFlagResponse)
+async def get_feature_flag(
+    name: str,
+    _: bool = Depends(_verify_internal_api_key),
+    store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
+):
+    """获取单个 Feature Flag 配置。"""
+    try:
+        config = store.get(name)
+        return FeatureFlagResponse.from_config(config)
+    except Exception as exc:
+        logger.error("Failed to get feature flag %s: %s", name, exc)
+        raise HTTPException(status_code=500, detail=f"Failed to get flag: {exc}")
+
+
+@router.get("/{name}/check", response_model=FeatureFlagCheckResponse)
+async def check_feature_flag(
+    name: str,
+    identifier: Optional[str] = Query(None, description="标识符，如 user_id"),
+    _: bool = Depends(_verify_internal_api_key),
+    store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
+):
+    """检查某个标识符是否命中 Feature Flag。"""
+    try:
+        active = store.is_active(name, identifier=identifier)
+        return FeatureFlagCheckResponse(name=name, active=active, identifier=identifier)
+    except Exception as exc:
+        logger.error("Failed to check feature flag %s: %s", name, exc)
+        raise HTTPException(status_code=500, detail=f"Failed to check flag: {exc}")
+
+
+@router.put("/{name}", response_model=FeatureFlagResponse)
+async def update_feature_flag(
+    name: str,
+    request: FeatureFlagUpdateRequest,
+    _: bool = Depends(_verify_internal_api_key),
+    store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
+):
+    """更新 Feature Flag 配置。
+
+    只允许修改 ALLOWED_FLAGS 列表中的 flag。
+    """
+    _validate_flag_name(name)
+
+    try:
+        config = FeatureFlagConfig(
+            name=name,
+            enabled=request.enabled,
+            percentage=request.percentage,
+            whitelist=set(request.whitelist),
+        )
+        store.set(config)
+        logger.info(
+            "Feature flag updated: name=%s enabled=%s percentage=%d whitelist=%d",
+            name,
+            config.enabled,
+            config.percentage,
+            len(config.whitelist),
+        )
+        return FeatureFlagResponse.from_config(config)
+    except Exception as exc:
+        logger.error("Failed to update feature flag %s: %s", name, exc)
+        raise HTTPException(status_code=500, detail=f"Failed to update flag: {exc}")
+
+
+@router.delete("/{name}", status_code=status.HTTP_204_NO_CONTENT)
+async def delete_feature_flag(
+    name: str,
+    _: bool = Depends(_verify_internal_api_key),
+    store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
+):
+    """删除 Feature Flag。
+
+    只允许删除 ALLOWED_FLAGS 列表中的 flag。
+    """
+    _validate_flag_name(name)
+
+    try:
+        deleted = store.delete(name)
+        logger.info("Feature flag deleted: name=%s deleted=%s", name, deleted)
+        return None
+    except Exception as exc:
+        logger.error("Failed to delete feature flag %s: %s", name, exc)
+        raise HTTPException(status_code=500, detail=f"Failed to delete flag: {exc}")

apps/api/app/api/routes/internal_render.py

@@ -0,0 +1,120 @@
+"""渲染结果内部下载接口。
+
+通过内部 API Key 鉴权，为灰度对比工具等内部系统提供渲染结果下载能力。
+
+API:
+  GET  /api/v1/internal/render/videos/{video_id}/download-url  - 获取单个视频下载URL
+  GET  /api/v1/internal/render/tasks/{task_id}/videos          - 获取任务下所有视频及下载URL
+
+鉴权：X-API-Key header，走内部 API Key 验证
+"""
+
+from __future__ import annotations
+
+import logging
+from typing import Any
+
+from app.api.routes.auth import _verify_internal_api_key
+from app.core.storage import OSSStorageService, get_storage_service
+from app.dependencies import get_generated_video_repository
+from fastapi import APIRouter, Depends, HTTPException, Query
+from pydantic import BaseModel
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(prefix="/internal/render", tags=["Internal"])
+
+
+class InternalRenderVideoItem(BaseModel):
+    """内部渲染视频项。"""
+
+    video_id: str
+    generation_task_id: str
+    project_id: str
+    name: str
+    file_url: str
+    file_size: int | None = None
+    duration: float | None = None
+    width: int | None = None
+    height: int | None = None
+    fps: float | None = None
+    status: str
+    download_url: str
+
+
+class InternalRenderTaskVideosResponse(BaseModel):
+    """任务下所有渲染视频响应。"""
+
+    task_id: str
+    count: int
+    videos: list[InternalRenderVideoItem]
+
+
+class InternalRenderDownloadUrlResponse(BaseModel):
+    """单个视频下载URL响应。"""
+
+    video_id: str
+    download_url: str
+
+
+def _video_to_item(video: Any, download_url: str) -> InternalRenderVideoItem:
+    """将 GeneratedVideo 领域对象转为响应项。"""
+    return InternalRenderVideoItem(
+        video_id=video.id,
+        generation_task_id=video.generation_task_id,
+        project_id=video.project_id,
+        name=video.name,
+        file_url=video.file_url,
+        file_size=getattr(video, "file_size", None),
+        duration=getattr(video, "duration", None),
+        width=getattr(video, "width", None),
+        height=getattr(video, "height", None),
+        fps=getattr(video, "fps", None),
+        status=video.status,
+        download_url=download_url,
+    )
+
+
+@router.get("/videos/{video_id}/download-url", response_model=InternalRenderDownloadUrlResponse)
+def get_render_video_download_url(
+    video_id: str,
+    _: bool = Depends(_verify_internal_api_key),
+    generated_video_repository: Any = Depends(get_generated_video_repository),
+    storage_service: OSSStorageService = Depends(get_storage_service),
+) -> InternalRenderDownloadUrlResponse:
+    """获取单个渲染视频的下载URL（预签名）。"""
+    video = generated_video_repository.get(video_id)
+    if video is None:
+        raise HTTPException(status_code=404, detail=f"GeneratedVideo {video_id} not found")
+
+    download_url = storage_service.get_download_url(video.file_url, expires_seconds=86400)
+    logger.info("内部渲染下载URL生成: video_id=%s", video_id)
+    return InternalRenderDownloadUrlResponse(video_id=video_id, download_url=download_url)
+
+
+@router.get("/tasks/{task_id}/videos", response_model=InternalRenderTaskVideosResponse)
+def get_render_task_videos(
+    task_id: str,
+    status: str | None = Query(None, description="按状态筛选，如 completed/failed"),
+    _: bool = Depends(_verify_internal_api_key),
+    generated_video_repository: Any = Depends(get_generated_video_repository),
+    storage_service: OSSStorageService = Depends(get_storage_service),
+) -> InternalRenderTaskVideosResponse:
+    """获取生成任务下所有渲染视频及下载URL。"""
+    videos = generated_video_repository.list_by_generation_task(task_id)
+
+    # 状态筛选
+    if status:
+        videos = [v for v in videos if v.status == status]
+
+    items = []
+    for video in videos:
+        download_url = storage_service.get_download_url(video.file_url, expires_seconds=86400)
+        items.append(_video_to_item(video, download_url))
+
+    logger.info("内部渲染任务视频查询: task_id=%s count=%d", task_id, len(items))
+    return InternalRenderTaskVideosResponse(
+        task_id=task_id,
+        count=len(items),
+        videos=items,
+    )

apps/api/app/config.py

@@ -109,6 +109,9 @@ class Settings(BaseSettings):
     LOG_LEVEL: str = "INFO"
     CORS_ORIGINS_RAW: str = "http://localhost:3000,http://localhost:5173,http://localhost:8000"
 
+    # 渲染引擎选择：legacy=旧VideoComposeService，unified=新UnifiedRenderService
+    RENDER_ENGINE: str = "legacy"
+
     model_config = SettingsConfigDict(
         env_file=".env",
         env_file_encoding="utf-8",

apps/worker/video_processing/__init__.py

@@ -1,18 +1,17 @@
 """
 视频处理模块
+
+轻量工具（ffmpeg_utils / oss_helpers / dedup_helpers）顶层直接导出，
+无额外依赖。渲染相关组件（UnifiedRenderService / RenderAdapter /
+VideoProcessor 等）按需从子模块导入，避免 __init__ 阶段引入
+packages / DB 等重依赖。
 """
 
-# 共享工具模块（供 editing_modes / generation / edit_plan_generation 等复用）
+# 共享工具模块（零外部依赖，供 editing_modes / generation / edit_plan_generation 等复用）
 from . import dedup_helpers, ffmpeg_utils, oss_helpers
-from .processor import VideoProcessor, VideoResult
-from .unified_render_service import RenderResult, UnifiedRenderService
 
 __all__ = [
-    "VideoProcessor",
-    "VideoResult",
     "ffmpeg_utils",
     "oss_helpers",
     "dedup_helpers",
-    "UnifiedRenderService",
-    "RenderResult",
 ]

apps/worker/video_processing/dedup.py

@@ -93,12 +93,16 @@ class VideoFingerprint:
     resolution: tuple[int, int]
 
     def to_dict(self) -> dict:
+        # 注意：color_histograms 里的值可能是 np.float32（来自 cv2.normalize），
+        # 直接存进 dict 后 SQLAlchemy JSON 序列化会报 "float32 is not JSON serializable"。
+        # 这里统一转成 Python 原生 float。
+        native_histograms = [[float(v) for v in hist] for hist in self.color_histograms]
         return {
             "md5": self.md5,
             "keyframe_phashes": self.keyframe_phashes,
-            "color_histograms": self.color_histograms,
-            "duration": self.duration,
-            "resolution": list(self.resolution),
+            "color_histograms": native_histograms,
+            "duration": float(self.duration),
+            "resolution": [int(self.resolution[0]), int(self.resolution[1])],
         }
 
 

apps/worker/video_processing/editing_modes.py

@@ -1,657 +0,0 @@
-"""
-视频剪辑模式处理器
-支持四种剪辑模式：一镜到底、画中画、口播、口播+画中画
-"""
-
-import logging
-import os
-import sys
-import tempfile
-from dataclasses import dataclass
-
-if sys.version_info >= (3, 11):
-    from enum import StrEnum
-else:
-    from enum import Enum
-
-    class StrEnum(str, Enum):
-        pass
-
-
-from pathlib import Path
-from typing import Optional
-
-from video_processing.ffmpeg_utils import FFMPEG_BIN, probe_video_info, run_ffmpeg
-
-logger = logging.getLogger(__name__)
-
-
-# 从 domain 层导入 EditingMode，避免重复定义
-from packages.domain.editing_mode import EditingMode
-
-
-class PIPPosition(StrEnum):
-    """画中画位置枚举"""
-
-    TOP_LEFT = "top_left"
-    TOP_RIGHT = "top_right"
-    BOTTOM_LEFT = "bottom_left"
-    BOTTOM_RIGHT = "bottom_right"
-
-
-@dataclass
-class EditingModeConfig:
-    """剪辑模式配置"""
-
-    mode: EditingMode
-    output_width: int = 1280
-    output_height: int = 720
-    output_fps: int = 25
-    pip_position: PIPPosition = PIPPosition.TOP_RIGHT
-    pip_scale: float = 0.25  # 画中画占主画面的比例
-    transition_duration: float = 0.5  # 转场时长（秒）
-    output_codec: str = "libx264"
-    output_preset: str = "medium"
-    output_crf: int = 23
-
-
-class EditingModeProcessor:
-    """剪辑模式处理器"""
-
-    def __init__(self, config: EditingModeConfig, work_dir: Optional[str] = None):
-        """
-        初始化剪辑模式处理器
-
-        Args:
-            config: 剪辑模式配置
-            work_dir: 工作目录，默认使用系统临时目录
-        """
-        self.config = config
-        self.work_dir = work_dir or tempfile.gettempdir()
-
-    def process(
-        self,
-        video_paths: list[str],
-        audio_path: Optional[str] = None,
-        output_path: Optional[str] = None,
-    ) -> str:
-        """
-        根据模式处理视频，返回输出文件路径
-
-        Args:
-            video_paths: 视频素材路径列表
-            audio_path: 音频路径（用于口播模式）
-            output_path: 输出文件路径，默认自动生成
-
-        Returns:
-            输出文件路径
-        """
-        if not video_paths:
-            raise ValueError("video_paths cannot be empty")
-
-        self._validate_inputs(video_paths, audio_path)
-
-        if output_path is None:
-            output_path = self._generate_output_path()
-
-        logger.info(f"Processing videos with mode: {self.config.mode}, count: {len(video_paths)}")
-
-        try:
-            if self.config.mode == EditingMode.ONE_TAKE:
-                return self._one_take(video_paths, output_path)
-            elif self.config.mode == EditingMode.PIP:
-                return self._pip(video_paths, output_path)
-            elif self.config.mode == EditingMode.VOICE_OVER:
-                return self._voice_over(video_paths, audio_path, output_path)
-            elif self.config.mode == EditingMode.VOICE_PIP:
-                return self._voice_pip(video_paths, audio_path, output_path)
-            else:
-                raise ValueError(f"Unsupported editing mode: {self.config.mode}")
-        except Exception as e:
-            logger.error(f"Error processing videos: {e}")
-            raise
-
-    def _validate_inputs(self, video_paths: list[str], audio_path: Optional[str]) -> None:
-        """验证输入文件"""
-        for path in video_paths:
-            if not os.path.exists(path):
-                raise FileNotFoundError(f"Video file not found: {path}")
-            if not os.path.getsize(path) > 0:
-                raise ValueError(f"Video file is empty: {path}")
-
-        if audio_path and not os.path.exists(audio_path):
-            raise FileNotFoundError(f"Audio file not found: {audio_path}")
-
-    def _generate_output_path(self) -> str:
-        """生成输出文件路径"""
-        os.makedirs(self.work_dir, exist_ok=True)
-        return os.path.join(self.work_dir, f"output_{self.config.mode}_{os.getpid()}.mp4")
-
-    def _run_ffmpeg(self, command: list[str], capture_output: bool = True) -> tuple:
-        """执行 FFmpeg 命令 — 委托给共享 ffmpeg_utils.run_ffmpeg"""
-        try:
-            return run_ffmpeg(command, capture_output=capture_output)
-        except RuntimeError as e:
-            logger.error(f"FFmpeg error: {e}")
-            raise
-
-    def _get_video_info(self, video_path: str) -> dict:
-        """获取视频信息 — 委托给共享 ffmpeg_utils.probe_video_info，补充 codec/size 字段"""
-        try:
-            info = probe_video_info(video_path)
-            info["codec"] = "unknown"
-            info["size"] = os.path.getsize(video_path) if os.path.exists(video_path) else 0
-            return info
-        except Exception as e:
-            logger.warning(f"Failed to get video info for {video_path}: {e}")
-            return {"width": 0, "height": 0, "fps": 25, "duration": 0, "codec": "unknown", "size": 0}
-
-    def _get_pip_position_offset(
-        self, main_width: int, main_height: int, pip_width: int, pip_height: int
-    ) -> tuple[int, int]:
-        """获取画中画位置偏移量"""
-        margin = 10
-        position_offsets = {
-            PIPPosition.TOP_LEFT: (margin, margin),
-            PIPPosition.TOP_RIGHT: (main_width - pip_width - margin, margin),
-            PIPPosition.BOTTOM_LEFT: (margin, main_height - pip_height - margin),
-            PIPPosition.BOTTOM_RIGHT: (main_width - pip_width - margin, main_height - pip_height - margin),
-        }
-        return position_offsets.get(self.config.pip_position, position_offsets[PIPPosition.TOP_RIGHT])
-
-    def _normalize_video(self, input_path: str, output_path: str) -> dict:
-        """标准化视频格式：先统一帧率，再缩放/填充"""
-        command = [
-            FFMPEG_BIN,
-            "-y",
-            "-i",
-            input_path,
-            "-r",
-            str(self.config.output_fps),  # 先统一帧率
-            "-vf",
-            f"scale={self.config.output_width}:{self.config.output_height}:force_original_aspect_ratio=decrease,pad={self.config.output_width}:{self.config.output_height}:(ow-iw)/2:(oh-ih)/2,setsar=1",
-            "-r",
-            str(self.config.output_fps),
-            "-c:v",
-            self.config.output_codec,
-            "-preset",
-            self.config.output_preset,
-            "-crf",
-            str(self.config.output_crf),
-            "-pix_fmt",
-            "yuv420p",
-            "-movflags",
-            "+faststart",
-            "-an",
-            output_path,
-        ]
-        run_ffmpeg(command)
-        return self._get_video_info(output_path)
-
-    def _one_take(self, video_paths: list[str], output_path: str) -> str:
-        """一镜到底模式：顺序拼接视频，添加淡入淡出转场"""
-        if len(video_paths) == 1:
-            return self._normalize_video(video_paths[0], output_path)
-
-        normalized_paths = []
-        for i, path in enumerate(video_paths):
-            normalized = os.path.join(self.work_dir, f"normalized_{i}_{os.getpid()}.mp4")
-            self._normalize_video(path, normalized)
-            normalized_paths.append(normalized)
-
-        durations = [self._get_video_info(p)["duration"] for p in normalized_paths]
-
-        if len(normalized_paths) <= 5:
-            output_path = self._one_take_with_xfade(normalized_paths, durations, output_path)
-        else:
-            output_path = self._one_take_simple_concat(normalized_paths, output_path)
-
-        for p in normalized_paths:
-            try:
-                if p != output_path:
-                    os.remove(p)
-            except Exception as e:
-                logger.warning(f"Operation failed in apps/worker/video_processing/editing_modes.py: {e}", exc_info=True)
-
-        return output_path
-
-    def _one_take_with_xfade(self, normalized_paths: list[str], durations: list[float], output_path: str) -> str:
-        """使用 xfade 滤镜实现转场"""
-        if len(normalized_paths) == 2:
-            transition = self.config.transition_duration
-            offset1 = durations[0] - transition / 2
-
-            command = [
-                FFMPEG_BIN,
-                "-y",
-                "-i",
-                normalized_paths[0],
-                "-i",
-                normalized_paths[1],
-                "-filter_complex",
-                f"[0:v][1:v]xfade=transition=fade:duration={transition}:offset={offset1}[v]",
-                "-map",
-                "[v]",
-                "-c:v",
-                self.config.output_codec,
-                "-preset",
-                self.config.output_preset,
-                "-crf",
-                str(self.config.output_crf),
-                "-pix_fmt",
-                "yuv420p",
-                output_path,
-            ]
-            run_ffmpeg(command)
-            return output_path
-        else:
-            return self._one_take_simple_concat(normalized_paths, output_path)
-
-    def _one_take_simple_concat(self, normalized_paths: list[str], output_path: str) -> str:
-        """使用 concat demuxer 简单拼接"""
-        concat_file = os.path.join(self.work_dir, f"concat_list_{os.getpid()}.txt")
-        with open(concat_file, "w") as f:
-            for path in normalized_paths:
-                f.write(f"file '{os.path.abspath(path)}'\n")
-
-        command = [
-            FFMPEG_BIN,
-            "-y",
-            "-f",
-            "concat",
-            "-safe",
-            "0",
-            "-i",
-            concat_file,
-            "-c",
-            "copy",
-            output_path,
-        ]
-        run_ffmpeg(command)
-
-        try:
-            os.remove(concat_file)
-        except Exception as e:
-            logger.warning(f"Operation failed in apps/worker/video_processing/editing_modes.py: {e}", exc_info=True)
-
-        return output_path
-
-    def _pip(self, video_paths: list[str], output_path: str) -> str:
-        """画中画模式：主视频全屏，后续视频叠加在角落"""
-        if not video_paths:
-            raise ValueError("No video paths provided")
-
-        main_video = video_paths[0]
-        main_normalized = os.path.join(self.work_dir, f"main_{os.getpid()}.mp4")
-        main_info = self._normalize_video(main_video, main_normalized)
-
-        if len(video_paths) == 1:
-            os.rename(main_normalized, output_path)
-            return output_path
-
-        pip_width = int(self.config.output_width * self.config.pip_scale)
-        pip_height = int(self.config.output_height * self.config.pip_scale)
-        x_offset, y_offset = self._get_pip_position_offset(
-            self.config.output_width, self.config.output_height, pip_width, pip_height
-        )
-
-        pip_normalized = os.path.join(self.work_dir, f"pip_{os.getpid()}.mp4")
-        pip_info = self._get_video_info(video_paths[1])
-
-        if pip_info["duration"] > main_info["duration"]:
-            temp_pip = os.path.join(self.work_dir, f"pip_temp_{os.getpid()}.mp4")
-            command = [
-                FFMPEG_BIN,
-                "-y",
-                "-i",
-                video_paths[1],
-                "-t",
-                str(main_info["duration"]),
-                "-vf",
-                f"scale={pip_width}:{pip_height}",
-                "-c:v",
-                self.config.output_codec,
-                "-preset",
-                self.config.output_preset,
-                "-crf",
-                str(self.config.output_crf),
-                "-pix_fmt",
-                "yuv420p",
-                temp_pip,
-            ]
-            run_ffmpeg(command)
-            pip_normalized_input = temp_pip
-        else:
-            command = [
-                FFMPEG_BIN,
-                "-y",
-                "-i",
-                video_paths[1],
-                "-vf",
-                f"scale={pip_width}:{pip_height}",
-                "-c:v",
-                self.config.output_codec,
-                "-preset",
-                self.config.output_preset,
-                "-crf",
-                str(self.config.output_crf),
-                "-pix_fmt",
-                "yuv420p",
-                pip_normalized,
-            ]
-            run_ffmpeg(command)
-            pip_normalized_input = pip_normalized
-
-        if main_info["duration"] > pip_info["duration"]:
-            looped_pip = os.path.join(self.work_dir, f"pip_looped_{os.getpid()}.mp4")
-            command = [
-                FFMPEG_BIN,
-                "-y",
-                "-stream_loop",
-                "-1",
-                "-i",
-                pip_normalized_input,
-                "-t",
-                str(main_info["duration"]),
-                "-vf",
-                f"scale={pip_width}:{pip_height}",
-                "-c:v",
-                self.config.output_codec,
-                "-preset",
-                self.config.output_preset,
-                "-crf",
-                str(self.config.output_crf),
-                "-pix_fmt",
-                "yuv420p",
-                looped_pip,
-            ]
-            run_ffmpeg(command)
-            pip_normalized_input = looped_pip
-
-        command = [
-            FFMPEG_BIN,
-            "-y",
-            "-i",
-            main_normalized,
-            "-i",
-            pip_normalized_input,
-            "-filter_complex",
-            f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
-            "-map",
-            "[v]",
-            "-c:v",
-            self.config.output_codec,
-            "-preset",
-            self.config.output_preset,
-            "-crf",
-            str(self.config.output_crf),
-            "-pix_fmt",
-            "yuv420p",
-            output_path,
-        ]
-        run_ffmpeg(command)
-
-        for temp_file in [main_normalized, pip_normalized]:
-            if temp_file and temp_file != output_path:
-                try:
-                    os.remove(temp_file)
-                except Exception as e:
-                    logger.warning(
-                        f"Operation failed in apps/worker/video_processing/editing_modes.py: {e}", exc_info=True
-                    )
-
-        return output_path
-
-    def _voice_over(self, video_paths: list[str], audio_path: Optional[str], output_path: str) -> str:
-        """口播模式：背景画面 + 配音"""
-        if not audio_path:
-            raise ValueError("audio_path is required for VOICE_OVER mode")
-
-        if not video_paths:
-            raise ValueError("No background video provided")
-
-        audio_info = self._get_video_info(audio_path)
-        audio_duration = audio_info["duration"]
-
-        bg_normalized = os.path.join(self.work_dir, f"bg_{os.getpid()}.mp4")
-        bg_info = self._normalize_video(video_paths[0], bg_normalized)
-
-        if bg_info["duration"] < audio_duration:
-            looped_bg = os.path.join(self.work_dir, f"bg_looped_{os.getpid()}.mp4")
-            command = [
-                FFMPEG_BIN,
-                "-y",
-                "-stream_loop",
-                "-1",
-                "-i",
-                bg_normalized,
-                "-t",
-                str(audio_duration),
-                "-vf",
-                f"scale={self.config.output_width}:{self.config.output_height}",
-                "-c:v",
-                self.config.output_codec,
-                "-preset",
-                self.config.output_preset,
-                "-crf",
-                str(self.config.output_crf),
-                "-pix_fmt",
-                "yuv420p",
-                looped_bg,
-            ]
-            run_ffmpeg(command)
-            bg_normalized = looped_bg
-        elif bg_info["duration"] > audio_duration:
-            temp_bg = os.path.join(self.work_dir, f"bg_trimmed_{os.getpid()}.mp4")
-            command = [
-                FFMPEG_BIN,
-                "-y",
-                "-i",
-                bg_normalized,
-                "-t",
-                str(audio_duration),
-                "-c:v",
-                "copy",
-                temp_bg,
-            ]
-            run_ffmpeg(command)
-            bg_normalized = temp_bg
-
-        blurred_bg = os.path.join(self.work_dir, f"bg_blurred_{os.getpid()}.mp4")
-        command = [
-            FFMPEG_BIN,
-            "-y",
-            "-i",
-            bg_normalized,
-            "-vf",
-            f"boxblur=5:5,scale={self.config.output_width}:{self.config.output_height}",
-            "-c:v",
-            self.config.output_codec,
-            "-preset",
-            self.config.output_preset,
-            "-crf",
-            str(self.config.output_crf),
-            "-pix_fmt",
-            "yuv420p",
-            blurred_bg,
-        ]
-        run_ffmpeg(command)
-
-        command = [
-            FFMPEG_BIN,
-            "-y",
-            "-i",
-            blurred_bg,
-            "-i",
-            audio_path,
-            "-filter_complex",
-            "[0:v]drawbox=x=0:y=0:w=iw:h=ih:color=black@0.3:t=fill[v]",
-            "-map",
-            "[v]",
-            "-map",
-            "1:a",
-            "-c:v",
-            self.config.output_codec,
-            "-preset",
-            self.config.output_preset,
-            "-crf",
-            str(self.config.output_crf),
-            "-pix_fmt",
-            "yuv420p",
-            "-shortest",
-            output_path,
-        ]
-        run_ffmpeg(command)
-
-        for temp_file in [bg_normalized, blurred_bg]:
-            try:
-                if temp_file != output_path:
-                    os.remove(temp_file)
-            except Exception as e:
-                logger.warning(f"Operation failed in apps/worker/video_processing/editing_modes.py: {e}", exc_info=True)
-
-        return output_path
-
-    def _voice_pip(self, video_paths: list[str], audio_path: Optional[str], output_path: str) -> str:
-        """口播+画中画模式：口播视频在角落，其他视频作为背景"""
-        if not video_paths:
-            raise ValueError("No video paths provided")
-
-        if len(video_paths) == 1:
-            return self._normalize_video(video_paths[0], output_path)
-
-        voice_video = video_paths[0]
-        bg_video = video_paths[1] if len(video_paths) > 1 else video_paths[0]
-
-        voice_normalized = os.path.join(self.work_dir, f"voice_{os.getpid()}.mp4")
-        voice_info = self._normalize_video(voice_video, voice_normalized)
-
-        bg_normalized = os.path.join(self.work_dir, f"bg_{os.getpid()}.mp4")
-        bg_info = self._normalize_video(bg_video, bg_normalized)
-
-        final_duration = min(voice_info["duration"], bg_info["duration"])
-
-        pip_width = int(self.config.output_width * self.config.pip_scale)
-        pip_height = int(self.config.output_height * self.config.pip_scale)
-        x_offset, y_offset = self._get_pip_position_offset(
-            self.config.output_width, self.config.output_height, pip_width, pip_height
-        )
-
-        voice_adjusted = os.path.join(self.work_dir, f"voice_adj_{os.getpid()}.mp4")
-        command = [
-            FFMPEG_BIN,
-            "-y",
-            "-i",
-            voice_normalized,
-            "-t",
-            str(final_duration),
-            "-vf",
-            f"scale={pip_width}:{pip_height}",
-            "-c:v",
-            self.config.output_codec,
-            "-preset",
-            self.config.output_preset,
-            "-crf",
-            str(self.config.output_crf),
-            "-pix_fmt",
-            "yuv420p",
-            voice_adjusted,
-        ]
-        run_ffmpeg(command)
-
-        bg_adjusted = os.path.join(self.work_dir, f"bg_adj_{os.getpid()}.mp4")
-        command = [
-            FFMPEG_BIN,
-            "-y",
-            "-i",
-            bg_normalized,
-            "-t",
-            str(final_duration),
-            "-c:v",
-            "copy",
-            bg_adjusted,
-        ]
-        run_ffmpeg(command)
-
-        if audio_path:
-            command = [
-                FFMPEG_BIN,
-                "-y",
-                "-i",
-                bg_adjusted,
-                "-i",
-                voice_adjusted,
-                "-i",
-                audio_path,
-                "-filter_complex",
-                f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
-                "-map",
-                "[v]",
-                "-map",
-                "2:a",
-                "-shortest",
-                "-c:v",
-                self.config.output_codec,
-                "-preset",
-                self.config.output_preset,
-                "-crf",
-                str(self.config.output_crf),
-                "-pix_fmt",
-                "yuv420p",
-                output_path,
-            ]
-        else:
-            command = [
-                FFMPEG_BIN,
-                "-y",
-                "-i",
-                bg_adjusted,
-                "-i",
-                voice_adjusted,
-                "-filter_complex",
-                f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
-                "-map",
-                "[v]",
-                "-map",
-                "1:a",
-                "-shortest",
-                "-c:v",
-                self.config.output_codec,
-                "-preset",
-                self.config.output_preset,
-                "-crf",
-                str(self.config.output_crf),
-                "-pix_fmt",
-                "yuv420p",
-                output_path,
-            ]
-        run_ffmpeg(command)
-
-        for temp_file in [voice_normalized, voice_adjusted, bg_normalized, bg_adjusted]:
-            try:
-                if temp_file != output_path:
-                    os.remove(temp_file)
-            except Exception as e:
-                logger.warning(f"Operation failed in apps/worker/video_processing/editing_modes.py: {e}", exc_info=True)
-
-        return output_path
-
-
-def create_processor(mode: str, work_dir: Optional[str] = None, **kwargs) -> EditingModeProcessor:
-    """便捷工厂函数：创建剪辑模式处理器"""
-    try:
-        editing_mode = EditingMode(mode)
-    except ValueError:
-        raise ValueError(f"Invalid editing mode: {mode}. Valid modes: {[m.value for m in EditingMode]}")
-
-    config = EditingModeConfig(
-        mode=editing_mode,
-        output_width=kwargs.get("output_width", 1280),
-        output_height=kwargs.get("output_height", 720),
-        output_fps=kwargs.get("output_fps", 25),
-        pip_position=PIPPosition(kwargs.get("pip_position", "top_right")),
-        pip_scale=kwargs.get("pip_scale", 0.25),
-        transition_duration=kwargs.get("transition_duration", 0.5),
-    )
-
-    return EditingModeProcessor(config=config, work_dir=work_dir)

apps/worker/video_processing/ffmpeg_utils.py

@@ -1,8 +1,7 @@
-"""FFmpeg 工具函数 — 从 editing_modes.py / video_compose_service.py 提取的共享原语.
+"""FFmpeg 工具函数 — 共享原语.
 
 提供 FFmpeg / FFprobe 调用、视频信息探测、视频标准化、xfade 转场滤镜构建
-等底层能力，供 EditingModeProcessor、VideoComposeService、UnifiedRenderService
-共同复用。
+等底层能力，供 UnifiedRenderService、VideoComposeService 等复用。
 """
 
 from __future__ import annotations
@@ -32,6 +31,10 @@ XFADE_TRANSITION_MAP: dict[str, str] = {
     "slide_left": "slideleft",
     "slideright": "slideright",
     "slide_right": "slideright",
+    "slideup": "slideup",
+    "slide_up": "slideup",
+    "slidedown": "slidedown",
+    "slide_down": "slidedown",
     "dissolve": "dissolve",
     "wipe": "wipeleft",
     "wipeleft": "wipeleft",
@@ -39,6 +42,10 @@ XFADE_TRANSITION_MAP: dict[str, str] = {
 
 DEFAULT_TRANSITION_DURATION = 0.5
 
+# FFmpeg 执行默认超时（秒），防止 FFmpeg hang 住导致 worker 永久阻塞
+# 默认 30 分钟，足够处理大部分短视频渲染；超长视频可单独传参覆盖
+DEFAULT_FFMPEG_TIMEOUT = 1800
+
 
 # ── FFmpeg 执行 ───────────────────────────────────────────────────────────────
 
@@ -47,12 +54,14 @@ def run_ffmpeg(
     command: list[str],
     *,
     capture_output: bool = True,
+    timeout: int | None = DEFAULT_FFMPEG_TIMEOUT,
 ) -> tuple[str, str]:
     """执行 FFmpeg 命令。
 
     Args:
         command: 完整的 ffmpeg 命令列表（含 "ffmpeg" 本身）
         capture_output: 是否捕获 stdout/stderr
+        timeout: 超时时间（秒），默认 1800s（30分钟）；None 表示不设超时（不推荐）
 
     Returns:
         (stdout, stderr) 元组
@@ -60,6 +69,7 @@ def run_ffmpeg(
     Raises:
         subprocess.CalledProcessError: 命令执行失败时抛出，
             异常信息包含完整 stderr 以便排查。
+        subprocess.TimeoutExpired: 超时未完成时抛出，FFmpeg 进程会被 kill。
     """
     try:
         result = subprocess.run(  # nosec B603
@@ -68,8 +78,16 @@ def run_ffmpeg(
             stdout=subprocess.PIPE if capture_output else None,
             stderr=subprocess.PIPE if capture_output else None,
             text=True,
+            timeout=timeout,
         )
         return (result.stdout or "", result.stderr or "")
+    except subprocess.TimeoutExpired as e:
+        logger.error(
+            "FFmpeg 命令超时 (%ds): command=%s",
+            timeout or -1,
+            " ".join(str(c) for c in command[:20]),
+        )
+        raise
     except subprocess.CalledProcessError as e:
         # 把完整 stderr 打到日志，方便排查 exit code 183 等问题
         stderr_text = (e.stderr or "").strip()
@@ -82,6 +100,41 @@ def run_ffmpeg(
         raise
 
 
+def probe_has_audio(local_path: str | Path) -> bool:
+    """探测文件是否包含音频流。
+
+    Args:
+        local_path: 本地文件路径
+
+    Returns:
+        True 表示有音频流（或探测失败保守返回），False 表示确认无音频流
+    """
+    try:
+        result = subprocess.run(  # nosec B603
+            [
+                FFPROBE_BIN,
+                "-v",
+                "error",
+                "-select_streams",
+                "a:0",
+                "-show_entries",
+                "stream=codec_type",
+                "-of",
+                "default=noprint_wrappers=1:nokey=1",
+                str(local_path),
+            ],
+            check=True,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+            timeout=10,
+        )
+        return result.stdout.strip() == "audio"
+    except Exception:
+        # 探测失败保守返回 True，让 FFmpeg 自己处理（避免误删音频）
+        return True
+
+
 def probe_duration(local_path: str | Path) -> float:
     """用 ffprobe 获取视频时长（秒）。
 
@@ -110,10 +163,14 @@ def probe_duration(local_path: str | Path) -> float:
 
 
 def probe_video_info(video_path: str) -> dict[str, Any]:
-    """获取视频信息（宽、高、时长、fps）。
+    """获取视频信息（宽、高、时长、fps、编码、像素格式）。
 
     Returns:
-        {"width": int, "height": int, "duration": float, "fps": float}
+        {
+            "width": int, "height": int, "duration": float, "fps": float,
+            "video_codec": str, "audio_codec": str, "pix_fmt": str,
+            "has_audio": bool,
+        }
         失败时返回默认值。
     """
     try:
@@ -122,10 +179,8 @@ def probe_video_info(video_path: str) -> dict[str, Any]:
                 FFPROBE_BIN,
                 "-v",
                 "error",
-                "-select_streams",
-                "v:0",
                 "-show_entries",
-                "stream=width,height,r_frame_rate,duration",
+                "stream=width,height,r_frame_rate,duration,codec_name,codec_type,pix_fmt",
                 "-show_entries",
                 "format=duration",
                 "-of",
@@ -136,19 +191,25 @@ def probe_video_info(video_path: str) -> dict[str, Any]:
             stdout=subprocess.PIPE,
             stderr=subprocess.PIPE,
             text=True,
+            timeout=15,
         )
 
         import json
 
         info = json.loads(result.stdout)
-        stream = info.get("streams", [{}])[0]
+        streams = info.get("streams", [])
         fmt = info.get("format", {})
 
-        width = int(stream.get("width", DEFAULT_OUTPUT_WIDTH))
-        height = int(stream.get("height", DEFAULT_OUTPUT_HEIGHT))
+        video_stream = next((s for s in streams if s.get("codec_type") == "video"), {})
+        audio_stream = next((s for s in streams if s.get("codec_type") == "audio"), {})
+
+        width = int(video_stream.get("width", DEFAULT_OUTPUT_WIDTH))
+        height = int(video_stream.get("height", DEFAULT_OUTPUT_HEIGHT))
+        video_codec = video_stream.get("codec_name", "") or ""
+        pix_fmt = video_stream.get("pix_fmt", "") or ""
 
         # 解析帧率
-        fps_str = stream.get("r_frame_rate", "25/1")
+        fps_str = video_stream.get("r_frame_rate", "25/1")
         if "/" in fps_str:
             num, den = fps_str.split("/")
             fps = float(num) / float(den) if float(den) > 0 else DEFAULT_FPS
@@ -156,13 +217,20 @@ def probe_video_info(video_path: str) -> dict[str, Any]:
             fps = float(fps_str) if fps_str else DEFAULT_FPS
 
         # 时长
-        duration = float(fmt.get("duration", 0)) or float(stream.get("duration", 0))
+        duration = float(fmt.get("duration", 0)) or float(video_stream.get("duration", 0))
+
+        has_audio = bool(audio_stream)
+        audio_codec = audio_stream.get("codec_name", "") or ""
 
         return {
             "width": width,
             "height": height,
             "duration": duration,
             "fps": round(fps, 2),
+            "video_codec": video_codec,
+            "audio_codec": audio_codec,
+            "pix_fmt": pix_fmt,
+            "has_audio": has_audio,
         }
     except Exception as e:
         logger.warning("获取视频信息失败: %s, error: %s", video_path, e)
@@ -171,6 +239,10 @@ def probe_video_info(video_path: str) -> dict[str, Any]:
             "height": DEFAULT_OUTPUT_HEIGHT,
             "duration": 0.0,
             "fps": DEFAULT_FPS,
+            "video_codec": "",
+            "audio_codec": "",
+            "pix_fmt": "",
+            "has_audio": True,
         }
 
 

apps/worker/video_processing/oss_helpers.py

@@ -9,6 +9,7 @@ from __future__ import annotations
 import hashlib
 import logging
 import os
+import threading
 from pathlib import Path
 from typing import Optional
 from urllib.parse import urlparse
@@ -17,6 +18,13 @@ import oss2
 
 logger = logging.getLogger(__name__)
 
+# OSS 上传配置
+OSS_CONNECT_TIMEOUT = 10  # 连接超时（秒），防止 TCP 握手挂死
+OSS_UPLOAD_TOTAL_TIMEOUT = 300  # 单文件上传总超时（秒），防止网络慢时无限卡住
+OSS_MULTIPART_THRESHOLD = 100 * 1024 * 1024  # 分片上传阈值：100MB 以上走分片
+OSS_PART_SIZE = 8 * 1024 * 1024  # 分片大小：8MB
+OSS_MULTIPART_NUM_THREADS = 3  # 分片上传并发数
+
 
 # ── OSS 配置 ──────────────────────────────────────────────────────────────────
 
@@ -43,6 +51,9 @@ def oss_bucket() -> oss2.Bucket | None:
     P0-2 修复：endpoint 不带 scheme 时自动补 https:// 前缀，
     确保 sign_url 等依赖 scheme 的方法返回 HTTPS URL。
 
+    P0-staging 修复：增加 connect_timeout=10s，防止网络抖动时
+    TCP 握手阶段无限挂死，导致 worker 进程卡死。
+
     Returns:
         oss2.Bucket 实例，配置缺失时返回 None。
     """
@@ -53,7 +64,12 @@ def oss_bucket() -> oss2.Bucket | None:
     # endpoint 无 scheme 时补 https://，与 API 端 storage.py 保持一致
     if not endpoint.startswith(("http://", "https://")):
         endpoint = f"https://{endpoint}"
-    return oss2.Bucket(oss2.Auth(access_key_id, access_key_secret), endpoint, bucket_name)
+    return oss2.Bucket(
+        oss2.Auth(access_key_id, access_key_secret),
+        endpoint,
+        bucket_name,
+        connect_timeout=OSS_CONNECT_TIMEOUT,
+    )
 
 
 def normalize_storage_key(storage_key_or_url: str) -> str:
@@ -96,6 +112,9 @@ def download_asset(asset_storage_key: str, local_path: Path) -> bool:
 def upload_to_oss(local_path: Path, storage_key: str) -> str | None:
     """上传文件到 OSS，返回公开 URL。
 
+    大文件（>100MB）自动走分片上传，降低内存峰值，减少 OOM 风险。
+    上传加总超时保护（默认 300s），防止网络异常时无限挂死。
+
     Args:
         local_path: 本地文件路径
         storage_key: 目标存储键
@@ -106,18 +125,71 @@ def upload_to_oss(local_path: Path, storage_key: str) -> str | None:
     bucket = oss_bucket()
     if bucket is None:
         return None
-    try:
-        bucket.put_object_from_file(storage_key, str(local_path))
-        settings = oss_settings()
-        if settings:
-            _, _, endpoint, bucket_name = settings
-            endpoint_clean = endpoint.replace("https://", "").replace("http://", "")
-            return f"https://{bucket_name}.{endpoint_clean}/{storage_key}"
+
+    result: dict = {"url": None, "error": None, "file_size": 0}
+    done = threading.Event()
+
+    def _do_upload():
+        try:
+            # 尝试获取文件大小，用于分片判断和日志；stat 失败时 fallback 走普通上传
+            try:
+                file_size = local_path.stat().st_size
+                result["file_size"] = file_size
+                use_multipart = file_size >= OSS_MULTIPART_THRESHOLD
+            except OSError:
+                use_multipart = False
+                file_size = 0
+
+            if use_multipart:
+                # 分片上传：降低内存峰值，每片 8MB，3 线程并发
+                logger.info(
+                    "大文件分片上传: storage_key=%s, size=%.1fMB, part_size=%dMB, threads=%d",
+                    storage_key[:80],
+                    file_size / 1024 / 1024,
+                    OSS_PART_SIZE // 1024 // 1024,
+                    OSS_MULTIPART_NUM_THREADS,
+                )
+                oss2.resumable_upload(
+                    bucket,
+                    storage_key,
+                    str(local_path),
+                    multipart_threshold=OSS_MULTIPART_THRESHOLD,
+                    part_size=OSS_PART_SIZE,
+                    num_threads=OSS_MULTIPART_NUM_THREADS,
+                )
+            else:
+                bucket.put_object_from_file(storage_key, str(local_path))
+
+            # 构造返回 URL
+            settings = oss_settings()
+            if settings:
+                _, _, endpoint, bucket_name = settings
+                endpoint_clean = endpoint.replace("https://", "").replace("http://", "")
+                result["url"] = f"https://{bucket_name}.{endpoint_clean}/{storage_key}"
+        except Exception as e:
+            result["error"] = e
+            logger.exception("上传 OSS 失败: %s", storage_key)
+        finally:
+            done.set()
+
+    upload_thread = threading.Thread(target=_do_upload, daemon=True)
+    upload_thread.start()
+    finished = done.wait(timeout=OSS_UPLOAD_TOTAL_TIMEOUT)
+
+    if not finished:
+        logger.error(
+            "OSS 上传超时（%.0fs），强制中止: storage_key=%s, size=%.1fMB",
+            OSS_UPLOAD_TOTAL_TIMEOUT,
+            storage_key[:80],
+            result["file_size"] / 1024 / 1024 if result["file_size"] else 0,
+        )
         return None
-    except Exception:
-        logger.exception("上传 OSS 失败: %s", storage_key)
+
+    if result["error"]:
         return None
 
+    return result["url"]
+
 
 def get_signed_download_url(storage_key_or_url: str, expires_seconds: int = 3600) -> str | None:
     """生成预签名下载 URL（用于私有 bucket 的 URL 校验或临时下载）。

apps/worker/video_processing/render_adapter.py

@@ -0,0 +1,299 @@
+"""统一渲染引擎适配层 — Phase 2.
+
+将 EditPlan + EditPlanClips（来自 DB）适配为 UnifiedRenderService 的输入格式，
+封装素材下载、渲染执行、结果上传的完整流程。
+
+职责：
+  1. 从 DB 读取 EditPlan + EditPlanClips
+  2. 下载素材到本地，构建 asset_path_map
+  3. 调用 UnifiedRenderService 执行渲染
+  4. 上传渲染结果到 OSS
+  5. 支持进度回调（对接 JobService）
+"""
+
+from __future__ import annotations
+
+import logging
+import tempfile
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Any, Callable
+
+from sqlalchemy.orm import Session
+from video_processing.oss_helpers import download_asset, upload_to_oss
+from video_processing.unified_render_service import RenderResult, UnifiedRenderService
+
+from packages.adapters.sqlalchemy_impl.edit_plan_clip_repository import SQLAlchemyEditPlanClipRepository
+from packages.adapters.sqlalchemy_impl.edit_plan_repository import SQLAlchemyEditPlanRepository
+from packages.domain.edit_plan import EditPlan, EditPlanStatus
+from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus
+
+logger = logging.getLogger(__name__)
+
+
+# ── 数据结构 ──────────────────────────────────────────────────────────────────
+
+
+@dataclass
+class RenderAdapterResult:
+    """渲染适配结果。"""
+
+    success: bool
+    output_url: str = ""
+    output_path: Path | None = None
+    duration: float = 0.0
+    file_size: int = 0
+    width: int = 0
+    height: int = 0
+    clip_count: int = 0
+    error_message: str = ""
+
+
+ProgressCallback = Callable[[float, str], None]
+"""进度回调：(progress_0_100, stage_description) → None"""
+
+
+# ── 适配层主体 ────────────────────────────────────────────────────────────────
+
+
+class RenderAdapter:
+    """统一渲染引擎适配层。
+
+    桥接 EditPlan 领域模型与 UnifiedRenderService 图层模型。
+
+    用法::
+
+        adapter = RenderAdapter(db)
+        result = adapter.render_plan(
+            plan_id=plan_id,
+            job_id=job_id,
+            progress_cb=lambda p, s: job_service.update_progress(job_id, p, s),
+        )
+    """
+
+    def __init__(self, db: Session) -> None:
+        self._db = db
+        self._plan_repo = SQLAlchemyEditPlanRepository(db)
+        self._clip_repo = SQLAlchemyEditPlanClipRepository(db)
+
+    # ── 公开方法 ──────────────────────────────────────────────────────────
+
+    def render_plan(
+        self,
+        plan_id: str,
+        *,
+        job_id: str = "",
+        work_dir: Path | None = None,
+        progress_cb: ProgressCallback | None = None,
+    ) -> RenderAdapterResult:
+        """渲染一个 EditPlan。
+
+        完整流程：
+        1. 加载计划与片段
+        2. 下载素材
+        3. 执行统一渲染
+        4. 上传结果
+
+        Args:
+            plan_id: EditPlan ID
+            job_id: 关联的 Job ID（用于结果存储路径）
+            work_dir: 工作目录，不传则使用临时目录
+            progress_cb: 进度回调函数
+
+        Returns:
+            RenderAdapterResult
+        """
+        temp_dir = None
+        try:
+            # 0. 准备工作目录
+            if work_dir is None:
+                temp_dir = tempfile.mkdtemp(prefix="render_")
+                work_dir = Path(temp_dir)
+            work_dir.mkdir(parents=True, exist_ok=True)
+
+            self._report_progress(progress_cb, 5.0, "加载剪辑计划")
+
+            # 1. 加载计划与片段
+            plan = self._plan_repo.get(plan_id)
+            if plan is None:
+                return RenderAdapterResult(
+                    success=False,
+                    error_message=f"剪辑计划不存在: {plan_id}",
+                )
+
+            clips = self._clip_repo.list_by_plan(plan_id, skip=0, limit=10000)
+            ready_clips = [c for c in clips if c.status == EditPlanClipStatus.READY and c.asset_id]
+            ready_clips.sort(key=lambda c: c.order)
+
+            if not ready_clips:
+                return RenderAdapterResult(
+                    success=False,
+                    error_message="没有可渲染的就绪片段",
+                    clip_count=0,
+                )
+
+            logger.info(
+                "开始渲染: plan_id=%s job_id=%s ready_clips=%d engine=unified",
+                plan_id,
+                job_id,
+                len(ready_clips),
+            )
+
+            self._report_progress(progress_cb, 15.0, f"下载素材（{len(ready_clips)} 个）")
+
+            # 2. 下载素材
+            asset_path_map = self._download_assets(ready_clips, work_dir)
+            if not asset_path_map:
+                return RenderAdapterResult(
+                    success=False,
+                    error_message="所有素材下载失败",
+                    clip_count=len(ready_clips),
+                )
+
+            self._report_progress(progress_cb, 40.0, "执行视频渲染")
+
+            # 3. 执行统一渲染
+            render_svc = UnifiedRenderService(
+                plan=plan,
+                clips=ready_clips,
+                asset_path_map=asset_path_map,
+                work_dir=work_dir,
+            )
+            result = render_svc.render()
+
+            self._report_progress(progress_cb, 80.0, "上传渲染结果")
+
+            # 4. 上传结果
+            storage_key = f"rendered/{plan_id}/{job_id or plan_id}.mp4"
+            output_url = upload_to_oss(result.output_path, storage_key)
+
+            self._report_progress(progress_cb, 100.0, "渲染完成")
+
+            logger.info(
+                "[render-adapter] render success: plan_id=%s job_id=%s engine=unified "
+                "duration=%.2fs file_size=%d resolution=%dx%d clip_count=%d",
+                plan_id,
+                job_id,
+                result.duration,
+                result.file_size,
+                result.width,
+                result.height,
+                len(ready_clips),
+            )
+
+            return RenderAdapterResult(
+                success=True,
+                output_url=output_url or "",
+                output_path=result.output_path,
+                duration=result.duration,
+                file_size=result.file_size,
+                width=result.width,
+                height=result.height,
+                clip_count=len(ready_clips),
+            )
+
+        except Exception as exc:
+            logger.exception(
+                "[render-adapter] render failed: plan_id=%s job_id=%s engine=unified error=%s",
+                plan_id,
+                job_id,
+                str(exc)[:200],
+            )
+            return RenderAdapterResult(
+                success=False,
+                error_message=str(exc)[:500],
+            )
+        finally:
+            # 清理临时目录
+            if temp_dir:
+                import shutil
+
+                try:
+                    shutil.rmtree(temp_dir, ignore_errors=True)
+                except Exception:
+                    pass
+
+    def validate_plan(self, plan_id: str) -> tuple[bool, list[str], list[str], int, int]:
+        """校验计划是否可渲染（兼容 VideoComposeService.validate_compose 接口）。
+
+        Returns:
+            (valid, errors, warnings, ready_clip_count, total_clip_count)
+        """
+        errors: list[str] = []
+        warnings: list[str] = []
+
+        plan = self._plan_repo.get(plan_id)
+        if plan is None:
+            return False, [f"剪辑计划不存在: {plan_id}"], [], 0, 0
+
+        if plan.status not in (EditPlanStatus.EDITING, EditPlanStatus.RENDERING):
+            errors.append(f"计划状态不正确，需要 editing 或 rendering，当前: {plan.status}")
+
+        clips = self._clip_repo.list_by_plan(plan_id, skip=0, limit=10000)
+        if not clips:
+            errors.append("计划没有任何片段")
+            return False, errors, warnings, 0, 0
+
+        clips.sort(key=lambda c: c.order)
+
+        ready_count = 0
+        pending_count = 0
+        no_asset_count = 0
+
+        for clip in clips:
+            if clip.status == EditPlanClipStatus.READY:
+                ready_count += 1
+                if not clip.asset_id:
+                    errors.append(f"片段 {clip.id} (order={clip.order}) 没有分配素材")
+                    no_asset_count += 1
+            elif clip.status == EditPlanClipStatus.PENDING:
+                pending_count += 1
+            elif clip.status == EditPlanClipStatus.FAILED:
+                warnings.append(f"片段 {clip.id} (order={clip.order}) 状态为 failed，已跳过")
+
+        if ready_count == 0:
+            errors.append("没有就绪（ready）的片段可以合成")
+
+        if pending_count > 0:
+            warnings.append(f"有 {pending_count} 个片段仍处于 pending 状态")
+
+        return len(errors) == 0, errors, warnings, ready_count, len(clips)
+
+    # ── 内部方法 ──────────────────────────────────────────────────────────
+
+    @staticmethod
+    def _report_progress(progress_cb: ProgressCallback | None, progress: float, stage: str) -> None:
+        """上报进度。"""
+        if progress_cb is not None:
+            try:
+                progress_cb(progress, stage)
+            except Exception:
+                logger.exception("进度回调失败")
+
+    @staticmethod
+    def _download_assets(clips: list[EditPlanClip], work_dir: Path) -> dict[str, Path]:
+        """下载片段素材到本地，返回 asset_id → local_path 映射。
+
+        只保留下载成功的素材。
+        """
+        asset_dir = work_dir / "assets"
+        asset_dir.mkdir(exist_ok=True)
+
+        asset_path_map: dict[str, Path] = {}
+
+        for clip in clips:
+            asset_id = clip.asset_id
+            if not asset_id:
+                continue
+
+            # 生成安全的本地文件名
+            safe_name = f"clip_{clip.order:04d}_{abs(hash(asset_id)) % 100000:05d}.mp4"
+            local_path = asset_dir / safe_name
+
+            if download_asset(asset_id, local_path):
+                asset_path_map[asset_id] = local_path
+                logger.debug("素材下载成功: clip_id=%s asset_id=%s", clip.id, asset_id[:60])
+            else:
+                logger.warning("素材下载失败: clip_id=%s asset_id=%s", clip.id, asset_id[:60])
+
+        return asset_path_map

apps/worker/video_processing/render_engine_resolver.py

@@ -0,0 +1,204 @@
+"""渲染引擎 Feature Flag 解析器。
+
+封装渲染引擎选择逻辑，支持：
+- 环境变量作为默认值（RENDER_ENGINE=legacy/unified）
+- Redis Feature Flag 运行时覆盖（白名单 + 百分比 + 全局开关）
+- 定时刷新，支持热更新不重启 worker
+
+使用方式：
+    resolver = RenderEngineResolver(redis_url="redis://...", default_engine="legacy")
+    engine = resolver.get_engine(user_id="user123")
+    # engine: "legacy" 或 "unified"
+"""
+
+from __future__ import annotations
+
+import logging
+import threading
+from typing import Optional
+
+from packages.adapters.redis.feature_flag_store import (
+    FeatureFlagConfig,
+    FeatureFlagStore,
+    InMemoryFeatureFlagStore,
+    RedisFeatureFlagStore,
+)
+
+logger = logging.getLogger(__name__)
+
+# Feature Flag 名称常量
+FLAG_RENDER_ENGINE = "render_engine"
+
+# 引擎常量
+ENGINE_LEGACY = "legacy"
+ENGINE_UNIFIED = "unified"
+VALID_ENGINES = {ENGINE_LEGACY, ENGINE_UNIFIED}
+
+
+class RenderEngineResolver:
+    """渲染引擎选择器。
+
+    判定逻辑（从高到低）：
+    1. Redis flag 白名单匹配 → unified
+    2. Redis flag 百分比命中 → unified
+    3. Redis flag 全局开启（100%）→ unified
+    4. 环境变量默认值 → legacy / unified
+
+    当 Redis 不可用时，自动降级到环境变量默认值，不影响业务。
+    """
+
+    def __init__(
+        self,
+        default_engine: str = ENGINE_LEGACY,
+        redis_url: Optional[str] = None,
+        refresh_interval: float = 30.0,
+        store: Optional[FeatureFlagStore] = None,
+    ) -> None:
+        """
+        Args:
+            default_engine: 环境变量默认的引擎名（legacy / unified）
+            redis_url: Redis 连接 URL，传 None 时使用内存实现（测试用）
+            refresh_interval: Redis flag 配置刷新间隔（秒）
+            store: 直接传入 store 实例（测试用，优先级高于 redis_url）
+        """
+        self._default_engine = default_engine.lower() if default_engine else ENGINE_LEGACY
+        if self._default_engine not in VALID_ENGINES:
+            logger.warning(
+                "Invalid default engine '%s', fallback to '%s'",
+                self._default_engine,
+                ENGINE_LEGACY,
+            )
+            self._default_engine = ENGINE_LEGACY
+
+        if store is not None:
+            self._store = store
+        elif redis_url:
+            self._store = RedisFeatureFlagStore(redis_url=redis_url)
+        else:
+            self._store = InMemoryFeatureFlagStore()
+            logger.info("No Redis configured, using in-memory feature flag store")
+
+        self._refresh_interval = refresh_interval
+        self._lock = threading.Lock()
+        self._cached_config: Optional[FeatureFlagConfig] = None
+        self._last_refresh: float = 0.0
+
+    def _maybe_refresh(self) -> None:
+        """惰性刷新配置，超过刷新间隔时从存储重新读取。"""
+        import time
+
+        now = time.time()
+        if now - self._last_refresh < self._refresh_interval:
+            return
+
+        try:
+            config = self._store.get(FLAG_RENDER_ENGINE)
+            with self._lock:
+                self._cached_config = config
+                self._last_refresh = now
+        except Exception as exc:
+            logger.warning("Failed to refresh render engine flag: %s", exc)
+            # 刷新失败时保留旧缓存，不中断业务
+            if self._cached_config is None:
+                # 首次就读失败，设一个默认值
+                with self._lock:
+                    self._cached_config = FeatureFlagConfig(name=FLAG_RENDER_ENGINE)
+                    self._last_refresh = now
+
+    def _get_config(self) -> FeatureFlagConfig:
+        """获取当前 flag 配置（带缓存）。"""
+        if self._cached_config is None:
+            self._maybe_refresh()
+        else:
+            self._maybe_refresh()
+        return self._cached_config or FeatureFlagConfig(name=FLAG_RENDER_ENGINE)
+
+    def get_engine(self, user_id: Optional[str] = None) -> str:
+        """获取当前应该使用的渲染引擎。
+
+        Args:
+            user_id: 用户ID，用于白名单匹配和百分比哈希。
+                    传 None 时只看全局开关。
+
+        Returns:
+            "legacy" 或 "unified"
+        """
+        config = self._get_config()
+
+        # 全局关闭 → 用默认值
+        if not config.enabled:
+            return self._default_engine
+
+        # 白名单匹配 / 百分比命中 → unified
+        if config.is_active(user_id):
+            return ENGINE_UNIFIED
+
+        # 未命中灰度 → 用默认值
+        return self._default_engine
+
+    def should_use_unified(self, user_id: Optional[str] = None) -> bool:
+        """便捷方法：是否应该使用统一渲染引擎。"""
+        return self.get_engine(user_id) == ENGINE_UNIFIED
+
+    def force_refresh(self) -> None:
+        """强制立即刷新配置（用于管理接口修改后立即生效）。"""
+        self._last_refresh = 0.0
+        if isinstance(self._store, RedisFeatureFlagStore):
+            self._store.invalidate_cache(FLAG_RENDER_ENGINE)
+        self._maybe_refresh()
+
+    def get_config_snapshot(self) -> dict:
+        """获取当前配置快照（用于管理接口展示）。"""
+        config = self._get_config()
+        return {
+            "flag_name": FLAG_RENDER_ENGINE,
+            "default_engine": self._default_engine,
+            "enabled": config.enabled,
+            "percentage": config.percentage,
+            "whitelist": sorted(config.whitelist),
+            "refresh_interval": self._refresh_interval,
+            "last_refresh": self._last_refresh,
+        }
+
+    def set_flag(self, config: FeatureFlagConfig) -> None:
+        """设置 flag 配置（管理接口用）。"""
+        config.name = FLAG_RENDER_ENGINE
+        self._store.set(config)
+        self.force_refresh()
+
+
+# 全局单例
+_resolver: Optional[RenderEngineResolver] = None
+_resolver_lock = threading.Lock()
+
+
+def get_render_engine_resolver() -> RenderEngineResolver:
+    """获取全局单例（基于 worker 配置）。"""
+    global _resolver
+    if _resolver is not None:
+        return _resolver
+
+    with _resolver_lock:
+        if _resolver is not None:
+            return _resolver
+
+        try:
+            from worker_app.core.config import get_settings
+
+            settings = get_settings()
+            redis_url = getattr(settings, "redis_url", None) or getattr(settings, "broker_url", None)
+            default = getattr(settings, "render_engine", ENGINE_LEGACY)
+            _resolver = RenderEngineResolver(
+                default_engine=default,
+                redis_url=redis_url,
+            )
+            logger.info(
+                "RenderEngineResolver initialized: default=%s, redis=%s",
+                default,
+                bool(redis_url),
+            )
+        except Exception as exc:
+            logger.warning("Failed to init RenderEngineResolver from settings: %s", exc)
+            _resolver = RenderEngineResolver(default_engine=ENGINE_LEGACY)
+
+    return _resolver

apps/worker/video_processing/video_compose_service.py

@@ -1,821 +0,0 @@
-"""
-视频合成服务
-支持多种剪辑模式和转场效果，包含完整的安全校验
-"""
-
-import logging
-import os
-import subprocess
-import tempfile
-from dataclasses import dataclass
-from enum import Enum
-
-try:
-    from enum import StrEnum
-except ImportError:
-
-    class StrEnum(str, Enum):  # type: ignore[no-redef]
-        """Python 3.10 兼容的 StrEnum 回退实现。"""
-
-        pass
-
-
-from pathlib import Path
-from typing import Optional
-
-from packages.domain.editing_mode import EditingMode
-
-logger = logging.getLogger(__name__)
-
-# ========== 安全常量 ==========
-# 允许的输出目录白名单（使用环境变量或系统临时目录，避免硬编码 /tmp）
-_VIDEO_OUTPUT_DIR = os.environ.get("VIDEO_OUTPUT_DIR", os.path.join(tempfile.gettempdir(), "video_output"))
-ALLOWED_OUTPUT_DIRS = [_VIDEO_OUTPUT_DIR, "/var/app/rendered"]
-
-# 允许的输入路径前缀白名单
-ALLOWED_INPUT_PREFIXES = ("s3://", "oss://", "local://", "/var/storage/")
-
-# 允许的转场效果白名单
-ALLOWED_TRANSITIONS = {
-    "fade",
-    "slideleft",
-    "slideright",
-    "dissolve",
-    "wipeleft",
-    "wiperight",
-    "cut",
-    "slideup",
-    "slidedown",
-}
-
-# 转场效果映射
-_XFADE_TRANSITION_MAP = {
-    "fade": "fade",
-    "slideleft": "slideleft",
-    "slideright": "slideright",
-    "dissolve": "dissolve",
-    "wipeleft": "wipeleft",
-    "wiperight": "wiperight",
-    "cut": "cut",
-    "slideup": "slideup",
-    "slidedown": "slidedown",
-}
-
-
-class VideoComposeError(Exception):
-    """视频合成服务异常"""
-
-    pass
-
-
-class PIPPosition(StrEnum):
-    """画中画位置枚举"""
-
-    TOP_LEFT = "top_left"
-    TOP_RIGHT = "top_right"
-    BOTTOM_LEFT = "bottom_left"
-    BOTTOM_RIGHT = "bottom_right"
-
-
-@dataclass
-class Clip:
-    """视频片段"""
-
-    asset_id: str  # 资源ID，对应输入路径
-    start_time: float = 0.0
-    duration: float = 0.0
-    transition: str = "fade"  # 转场效果
-
-
-@dataclass
-class EditingModeConfig:
-    """剪辑模式配置"""
-
-    mode: EditingMode
-    output_width: int = 1280
-    output_height: int = 720
-    output_fps: int = 25
-    pip_position: PIPPosition = PIPPosition.TOP_RIGHT
-    pip_scale: float = 0.25  # 画中画占主画面的比例
-    transition_duration: float = 0.5  # 转场时长（秒）
-    output_codec: str = "libx264"
-    output_preset: str = "medium"
-    output_crf: int = 23
-
-
-class VideoComposeService:
-    """视频合成服务"""
-
-    def __init__(self, config: EditingModeConfig, work_dir: Optional[str] = None):
-        """
-        初始化视频合成服务
-
-        Args:
-            config: 剪辑模式配置
-            work_dir: 工作目录，默认使用系统临时目录
-        """
-        self.config = config
-        self.work_dir = work_dir or tempfile.gettempdir()
-        self._ffmpeg_bin = "ffmpeg"
-        self._ffprobe_bin = "ffprobe"
-
-    def _validate_output_path(self, path: str) -> str:
-        """
-        校验输出路径是否在允许范围内 (P0 修复)
-
-        防止路径穿越攻击，如 /app/config/../../../etc/passwd
-
-        Args:
-            path: 用户提供的输出路径
-
-        Returns:
-            标准化后的绝对路径
-
-        Raises:
-            ValueError: 路径不在允许范围内
-        """
-        abs_path = os.path.abspath(path)
-        for allowed_dir in ALLOWED_OUTPUT_DIRS:
-            allowed_abs = os.path.abspath(allowed_dir)
-            if abs_path.startswith(allowed_abs):
-                return abs_path
-        raise ValueError(f"输出路径不在允许范围内: {path}")
-
-    def _validate_input_path(self, path: str) -> bool:
-        """
-        校验输入路径格式是否合法 (P1-1 修复)
-
-        Args:
-            path: 输入文件路径
-
-        Returns:
-            是否合法
-        """
-        return any(path.startswith(prefix) for prefix in ALLOWED_INPUT_PREFIXES)
-
-    def _validate_transition(self, transition: str) -> str:
-        """
-        校验转场效果是否在白名单内 (P1-2 修复)
-
-        Args:
-            transition: 转场效果名称
-
-        Returns:
-            安全的转场效果名称
-        """
-        if transition not in ALLOWED_TRANSITIONS:
-            logger.warning(f"未知的转场效果 '{transition}'，使用默认 'fade'")
-            return "fade"
-        return transition
-
-    def _get_validated_transition(self, transition: str) -> str:
-        """获取白名单校验后的转场效果名称"""
-        return _XFADE_TRANSITION_MAP.get(self._validate_transition(transition), "fade")
-
-    def compose(self, clips: list[Clip], output_path: Optional[str] = None) -> str:
-        """
-        合成视频
-
-        Args:
-            clips: 视频片段列表，每个片段包含 asset_id 和转场配置
-            output_path: 输出文件路径
-
-        Returns:
-            输出文件路径
-        """
-        if not clips:
-            raise ValueError("clips 不能为空")
-
-        # P1-1: 校验所有输入路径
-        for clip in clips:
-            if not self._validate_input_path(clip.asset_id):
-                raise ValueError(f"不合法的输入路径: {clip.asset_id}")
-
-        # 生成默认输出路径并校验
-        if output_path is None:
-            output_path = self._generate_output_path()
-
-        # P0: 校验输出路径
-        validated_output = self._validate_output_path(output_path)
-
-        logger.info(f"合成视频，片段数: {len(clips)}, 输出: {validated_output}")
-
-        # 获取输入路径列表
-        input_paths = [clip.asset_id for clip in clips]
-
-        try:
-            if self.config.mode == EditingMode.ONE_TAKE:
-                return self._one_take(input_paths, validated_output, clips)
-            elif self.config.mode == EditingMode.PIP:
-                return self._pip(input_paths, validated_output)
-            elif self.config.mode == EditingMode.VOICE_OVER:
-                return self._voice_over(input_paths, validated_output)
-            elif self.config.mode == EditingMode.VOICE_PIP:
-                return self._voice_pip(input_paths, validated_output)
-            else:
-                raise ValueError(f"不支持的剪辑模式: {self.config.mode}")
-        except Exception as e:
-            logger.error(f"视频合成失败: {e}")
-            raise VideoComposeError(f"视频合成失败: {e}") from e
-
-    def _generate_output_path(self) -> str:
-        """生成输出文件路径"""
-        os.makedirs(self.work_dir, exist_ok=True)
-        return os.path.join(self.work_dir, f"output_{self.config.mode}_{os.getpid()}.mp4")
-
-    def _validate_inputs(self, video_paths: list[str], audio_path: Optional[str] = None) -> None:
-        """验证输入文件存在"""
-        for path in video_paths:
-            if not os.path.exists(path):
-                raise FileNotFoundError(f"视频文件不存在: {path}")
-            if not os.path.getsize(path) > 0:
-                raise ValueError(f"视频文件为空: {path}")
-
-        if audio_path and not os.path.exists(audio_path):
-            raise FileNotFoundError(f"音频文件不存在: {audio_path}")
-
-    def _run_ffmpeg(self, command: list[str], capture_output: bool = True) -> tuple:
-        """执行 FFmpeg 命令"""
-        logger.debug(f"Running FFmpeg: {' '.join(command)}")
-        try:
-            result = subprocess.run(
-                command,
-                check=True,
-                stdout=subprocess.PIPE if capture_output else None,
-                stderr=subprocess.PIPE if capture_output else None,
-                text=capture_output,
-            )
-            return result.stdout or "", result.stderr or ""
-        except subprocess.CalledProcessError as e:
-            stderr = e.stderr.decode() if e.stderr else str(e)
-            logger.error(f"FFmpeg error: {stderr}")
-            raise RuntimeError(f"FFmpeg 执行失败: {stderr}") from e
-
-    def _get_video_info(self, video_path: str) -> dict:
-        """获取视频信息"""
-        try:
-            result = subprocess.run(
-                [
-                    self._ffprobe_bin,
-                    "-v",
-                    "error",
-                    "-show_entries",
-                    "stream=width,height,r_frame_rate,duration,codec_name",
-                    "-show_entries",
-                    "format=duration,size",
-                    "-of",
-                    "json",
-                    video_path,
-                ],
-                check=True,
-                stdout=subprocess.PIPE,
-                stderr=subprocess.PIPE,
-                text=True,
-            )
-            import json
-
-            data = json.loads(result.stdout)
-            streams = data.get("streams", [{}])
-            video_stream = next((s for s in streams if s.get("codec_type") == "video"), streams[0] if streams else {})
-            fmt = data.get("format", {})
-
-            fps_str = video_stream.get("r_frame_rate", "25/1")
-            fps_parts = fps_str.split("/")
-            fps = float(fps_parts[0]) / float(fps_parts[1]) if len(fps_parts) == 2 else float(fps_parts[0])
-
-            return {
-                "width": int(video_stream.get("width", 0)),
-                "height": int(video_stream.get("height", 0)),
-                "fps": fps,
-                "duration": float(fmt.get("duration", 0)),
-                "codec": video_stream.get("codec_name", "unknown"),
-                "size": int(fmt.get("size", 0)),
-            }
-        except Exception as e:
-            logger.warning(f"获取视频信息失败 {video_path}: {e}")
-            return {"width": 0, "height": 0, "fps": 25, "duration": 0, "codec": "unknown", "size": 0}
-
-    def _get_pip_position_offset(
-        self, main_width: int, main_height: int, pip_width: int, pip_height: int
-    ) -> tuple[int, int]:
-        """获取画中画位置偏移量"""
-        margin = 10
-        position_offsets = {
-            PIPPosition.TOP_LEFT: (margin, margin),
-            PIPPosition.TOP_RIGHT: (main_width - pip_width - margin, margin),
-            PIPPosition.BOTTOM_LEFT: (margin, main_height - pip_height - margin),
-            PIPPosition.BOTTOM_RIGHT: (main_width - pip_width - margin, main_height - pip_height - margin),
-        }
-        return position_offsets.get(self.config.pip_position, position_offsets[PIPPosition.TOP_RIGHT])
-
-    def _normalize_video(self, input_path: str, output_path: str) -> dict:
-        """标准化视频格式"""
-        command = [
-            self._ffmpeg_bin,
-            "-y",
-            "-i",
-            input_path,
-            "-r",
-            str(self.config.output_fps),
-            "-vf",
-            f"scale={self.config.output_width}:{self.config.output_height}:force_original_aspect_ratio=decrease,pad={self.config.output_width}:{self.config.output_height}:(ow-iw)/2:(oh-ih)/2,setsar=1",
-            "-r",
-            str(self.config.output_fps),
-            "-c:v",
-            self.config.output_codec,
-            "-preset",
-            self.config.output_preset,
-            "-crf",
-            str(self.config.output_crf),
-            "-pix_fmt",
-            "yuv420p",
-            "-movflags",
-            "+faststart",
-            "-an",
-            output_path,
-        ]
-        self._run_ffmpeg(command)
-        return self._get_video_info(output_path)
-
-    def _one_take(self, video_paths: list[str], output_path: str, clips: list[Clip]) -> str:
-        """一镜到底模式"""
-        if len(video_paths) == 1:
-            return self._normalize_video(video_paths[0], output_path)
-
-        normalized_paths = []
-        for i, path in enumerate(video_paths):
-            normalized = os.path.join(self.work_dir, f"normalized_{i}_{os.getpid()}.mp4")
-            self._normalize_video(path, normalized)
-            normalized_paths.append(normalized)
-
-        durations = [self._get_video_info(p)["duration"] for p in normalized_paths]
-
-        if len(normalized_paths) <= 5:
-            output_path = self._one_take_with_xfade(normalized_paths, durations, output_path, clips)
-        else:
-            output_path = self._one_take_simple_concat(normalized_paths, output_path)
-
-        for p in normalized_paths:
-            try:
-                if p != output_path:
-                    os.remove(p)
-            except Exception as e:
-                logger.warning(
-                    f"Operation failed in apps/worker/video_processing/video_compose_service.py: {e}", exc_info=True
-                )
-
-        return output_path
-
-    def _one_take_with_xfade(
-        self, normalized_paths: list[str], durations: list[float], output_path: str, clips: list[Clip]
-    ) -> str:
-        """使用 xfade 滤镜实现转场 (P1-2: 转场参数白名单校验)"""
-        if len(normalized_paths) == 2:
-            # 获取当前片段的转场效果并校验白名单
-            transition = "fade"
-            if len(clips) > 1:
-                transition = self._get_validated_transition(clips[1].transition)
-
-            trans_duration = self.config.transition_duration
-            offset1 = durations[0] - trans_duration / 2
-
-            command = [
-                self._ffmpeg_bin,
-                "-y",
-                "-i",
-                normalized_paths[0],
-                "-i",
-                normalized_paths[1],
-                "-filter_complex",
-                f"[0:v][1:v]xfade=transition={transition}:duration={trans_duration}:offset={offset1}[v]",
-                "-map",
-                "[v]",
-                "-c:v",
-                self.config.output_codec,
-                "-preset",
-                self.config.output_preset,
-                "-crf",
-                str(self.config.output_crf),
-                "-pix_fmt",
-                "yuv420p",
-                output_path,
-            ]
-            self._run_ffmpeg(command)
-            return output_path
-        else:
-            return self._one_take_simple_concat(normalized_paths, output_path)
-
-    def _one_take_simple_concat(self, normalized_paths: list[str], output_path: str) -> str:
-        """使用 concat demuxer 简单拼接"""
-        concat_file = os.path.join(self.work_dir, f"concat_list_{os.getpid()}.txt")
-        with open(concat_file, "w") as f:
-            for path in normalized_paths:
-                f.write(f"file '{os.path.abspath(path)}'\n")
-
-        command = [
-            self._ffmpeg_bin,
-            "-y",
-            "-f",
-            "concat",
-            "-safe",
-            "0",
-            "-i",
-            concat_file,
-            "-c",
-            "copy",
-            output_path,
-        ]
-        self._run_ffmpeg(command)
-
-        try:
-            os.remove(concat_file)
-        except Exception as e:
-            logger.warning(
-                f"Operation failed in apps/worker/video_processing/video_compose_service.py: {e}", exc_info=True
-            )
-
-        return output_path
-
-    def _pip(self, video_paths: list[str], output_path: str) -> str:
-        """画中画模式"""
-        if not video_paths:
-            raise ValueError("No video paths provided")
-
-        main_video = video_paths[0]
-        main_normalized = os.path.join(self.work_dir, f"main_{os.getpid()}.mp4")
-        main_info = self._normalize_video(main_video, main_normalized)
-
-        if len(video_paths) == 1:
-            os.rename(main_normalized, output_path)
-            return output_path
-
-        pip_width = int(self.config.output_width * self.config.pip_scale)
-        pip_height = int(self.config.output_height * self.config.pip_scale)
-        x_offset, y_offset = self._get_pip_position_offset(
-            self.config.output_width, self.config.output_height, pip_width, pip_height
-        )
-
-        pip_normalized = os.path.join(self.work_dir, f"pip_{os.getpid()}.mp4")
-        pip_info = self._get_video_info(video_paths[1])
-
-        if pip_info["duration"] > main_info["duration"]:
-            temp_pip = os.path.join(self.work_dir, f"pip_temp_{os.getpid()}.mp4")
-            command = [
-                self._ffmpeg_bin,
-                "-y",
-                "-i",
-                video_paths[1],
-                "-t",
-                str(main_info["duration"]),
-                "-vf",
-                f"scale={pip_width}:{pip_height}",
-                "-c:v",
-                self.config.output_codec,
-                "-preset",
-                self.config.output_preset,
-                "-crf",
-                str(self.config.output_crf),
-                "-pix_fmt",
-                "yuv420p",
-                temp_pip,
-            ]
-            self._run_ffmpeg(command)
-            pip_normalized_input = temp_pip
-        else:
-            command = [
-                self._ffmpeg_bin,
-                "-y",
-                "-i",
-                video_paths[1],
-                "-vf",
-                f"scale={pip_width}:{pip_height}",
-                "-c:v",
-                self.config.output_codec,
-                "-preset",
-                self.config.output_preset,
-                "-crf",
-                str(self.config.output_crf),
-                "-pix_fmt",
-                "yuv420p",
-                pip_normalized,
-            ]
-            self._run_ffmpeg(command)
-            pip_normalized_input = pip_normalized
-
-        if main_info["duration"] > pip_info["duration"]:
-            looped_pip = os.path.join(self.work_dir, f"pip_looped_{os.getpid()}.mp4")
-            command = [
-                self._ffmpeg_bin,
-                "-y",
-                "-stream_loop",
-                "-1",
-                "-i",
-                pip_normalized_input,
-                "-t",
-                str(main_info["duration"]),
-                "-vf",
-                f"scale={pip_width}:{pip_height}",
-                "-c:v",
-                self.config.output_codec,
-                "-preset",
-                self.config.output_preset,
-                "-crf",
-                str(self.config.output_crf),
-                "-pix_fmt",
-                "yuv420p",
-                looped_pip,
-            ]
-            self._run_ffmpeg(command)
-            pip_normalized_input = looped_pip
-
-        command = [
-            self._ffmpeg_bin,
-            "-y",
-            "-i",
-            main_normalized,
-            "-i",
-            pip_normalized_input,
-            "-filter_complex",
-            f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
-            "-map",
-            "[v]",
-            "-c:v",
-            self.config.output_codec,
-            "-preset",
-            self.config.output_preset,
-            "-crf",
-            str(self.config.output_crf),
-            "-pix_fmt",
-            "yuv420p",
-            output_path,
-        ]
-        self._run_ffmpeg(command)
-
-        for temp_file in [main_normalized, pip_normalized]:
-            if temp_file and temp_file != output_path:
-                try:
-                    os.remove(temp_file)
-                except Exception as e:
-                    logger.warning(
-                        f"Operation failed in apps/worker/video_processing/video_compose_service.py: {e}", exc_info=True
-                    )
-
-        return output_path
-
-    def _voice_over(self, video_paths: list[str], audio_path: str, output_path: str) -> str:
-        """口播模式"""
-        if not audio_path:
-            raise ValueError("audio_path is required for VOICE_OVER mode")
-
-        if not video_paths:
-            raise ValueError("No background video provided")
-
-        audio_info = self._get_video_info(audio_path)
-        audio_duration = audio_info["duration"]
-
-        bg_normalized = os.path.join(self.work_dir, f"bg_{os.getpid()}.mp4")
-        bg_info = self._normalize_video(video_paths[0], bg_normalized)
-
-        if bg_info["duration"] < audio_duration:
-            looped_bg = os.path.join(self.work_dir, f"bg_looped_{os.getpid()}.mp4")
-            command = [
-                self._ffmpeg_bin,
-                "-y",
-                "-stream_loop",
-                "-1",
-                "-i",
-                bg_normalized,
-                "-t",
-                str(audio_duration),
-                "-vf",
-                f"scale={self.config.output_width}:{self.config.output_height}",
-                "-c:v",
-                self.config.output_codec,
-                "-preset",
-                self.config.output_preset,
-                "-crf",
-                str(self.config.output_crf),
-                "-pix_fmt",
-                "yuv420p",
-                looped_bg,
-            ]
-            self._run_ffmpeg(command)
-            bg_normalized = looped_bg
-        elif bg_info["duration"] > audio_duration:
-            temp_bg = os.path.join(self.work_dir, f"bg_trimmed_{os.getpid()}.mp4")
-            command = [
-                self._ffmpeg_bin,
-                "-y",
-                "-i",
-                bg_normalized,
-                "-t",
-                str(audio_duration),
-                "-c:v",
-                "copy",
-                temp_bg,
-            ]
-            self._run_ffmpeg(command)
-            bg_normalized = temp_bg
-
-        blurred_bg = os.path.join(self.work_dir, f"bg_blurred_{os.getpid()}.mp4")
-        command = [
-            self._ffmpeg_bin,
-            "-y",
-            "-i",
-            bg_normalized,
-            "-vf",
-            f"boxblur=5:5,scale={self.config.output_width}:{self.config.output_height}",
-            "-c:v",
-            self.config.output_codec,
-            "-preset",
-            self.config.output_preset,
-            "-crf",
-            str(self.config.output_crf),
-            "-pix_fmt",
-            "yuv420p",
-            blurred_bg,
-        ]
-        self._run_ffmpeg(command)
-
-        command = [
-            self._ffmpeg_bin,
-            "-y",
-            "-i",
-            blurred_bg,
-            "-i",
-            audio_path,
-            "-filter_complex",
-            "[0:v]drawbox=x=0:y=0:w=iw:h=ih:color=black@0.3:t=fill[v]",
-            "-map",
-            "[v]",
-            "-map",
-            "1:a",
-            "-c:v",
-            self.config.output_codec,
-            "-preset",
-            self.config.output_preset,
-            "-crf",
-            str(self.config.output_crf),
-            "-pix_fmt",
-            "yuv420p",
-            "-shortest",
-            output_path,
-        ]
-        self._run_ffmpeg(command)
-
-        for temp_file in [bg_normalized, blurred_bg]:
-            try:
-                if temp_file != output_path:
-                    os.remove(temp_file)
-            except Exception as e:
-                logger.warning(
-                    f"Operation failed in apps/worker/video_processing/video_compose_service.py: {e}", exc_info=True
-                )
-
-        return output_path
-
-    def _voice_pip(self, video_paths: list[str], audio_path: Optional[str], output_path: str) -> str:
-        """口播+画中画模式"""
-        if not video_paths:
-            raise ValueError("No video paths provided")
-
-        if len(video_paths) == 1:
-            return self._normalize_video(video_paths[0], output_path)
-
-        voice_video = video_paths[0]
-        bg_video = video_paths[1] if len(video_paths) > 1 else video_paths[0]
-
-        voice_normalized = os.path.join(self.work_dir, f"voice_{os.getpid()}.mp4")
-        voice_info = self._normalize_video(voice_video, voice_normalized)
-
-        bg_normalized = os.path.join(self.work_dir, f"bg_{os.getpid()}.mp4")
-        bg_info = self._normalize_video(bg_video, bg_normalized)
-
-        final_duration = min(voice_info["duration"], bg_info["duration"])
-
-        pip_width = int(self.config.output_width * self.config.pip_scale)
-        pip_height = int(self.config.output_height * self.config.pip_scale)
-        x_offset, y_offset = self._get_pip_position_offset(
-            self.config.output_width, self.config.output_height, pip_width, pip_height
-        )
-
-        voice_adjusted = os.path.join(self.work_dir, f"voice_adj_{os.getpid()}.mp4")
-        command = [
-            self._ffmpeg_bin,
-            "-y",
-            "-i",
-            voice_normalized,
-            "-t",
-            str(final_duration),
-            "-vf",
-            f"scale={pip_width}:{pip_height}",
-            "-c:v",
-            self.config.output_codec,
-            "-preset",
-            self.config.output_preset,
-            "-crf",
-            str(self.config.output_crf),
-            "-pix_fmt",
-            "yuv420p",
-            voice_adjusted,
-        ]
-        self._run_ffmpeg(command)
-
-        bg_adjusted = os.path.join(self.work_dir, f"bg_adj_{os.getpid()}.mp4")
-        command = [
-            self._ffmpeg_bin,
-            "-y",
-            "-i",
-            bg_normalized,
-            "-t",
-            str(final_duration),
-            "-c:v",
-            "copy",
-            bg_adjusted,
-        ]
-        self._run_ffmpeg(command)
-
-        if audio_path:
-            command = [
-                self._ffmpeg_bin,
-                "-y",
-                "-i",
-                bg_adjusted,
-                "-i",
-                voice_adjusted,
-                "-i",
-                audio_path,
-                "-filter_complex",
-                f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
-                "-map",
-                "[v]",
-                "-map",
-                "2:a",
-                "-shortest",
-                "-c:v",
-                self.config.output_codec,
-                "-preset",
-                self.config.output_preset,
-                "-crf",
-                str(self.config.output_crf),
-                "-pix_fmt",
-                "yuv420p",
-                output_path,
-            ]
-        else:
-            command = [
-                self._ffmpeg_bin,
-                "-y",
-                "-i",
-                bg_adjusted,
-                "-i",
-                voice_adjusted,
-                "-filter_complex",
-                f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
-                "-map",
-                "[v]",
-                "-map",
-                "1:a",
-                "-shortest",
-                "-c:v",
-                self.config.output_codec,
-                "-preset",
-                self.config.output_preset,
-                "-crf",
-                str(self.config.output_crf),
-                "-pix_fmt",
-                "yuv420p",
-                output_path,
-            ]
-        self._run_ffmpeg(command)
-
-        for temp_file in [voice_normalized, voice_adjusted, bg_normalized, bg_adjusted]:
-            try:
-                if temp_file != output_path:
-                    os.remove(temp_file)
-            except Exception as e:
-                logger.warning(
-                    f"Operation failed in apps/worker/video_processing/video_compose_service.py: {e}", exc_info=True
-                )
-
-        return output_path
-
-
-def create_compose_service(mode: str, work_dir: Optional[str] = None, **kwargs) -> VideoComposeService:
-    """便捷工厂函数：创建视频合成服务"""
-    try:
-        editing_mode = EditingMode(mode)
-    except ValueError:
-        raise ValueError(f"无效的剪辑模式: {mode}. 有效模式: {[m.value for m in EditingMode]}")
-
-    config = EditingModeConfig(
-        mode=editing_mode,
-        output_width=kwargs.get("output_width", 1280),
-        output_height=kwargs.get("output_height", 720),
-        output_fps=kwargs.get("output_fps", 25),
-        pip_position=PIPPosition(kwargs.get("pip_position", "top_right")),
-        pip_scale=kwargs.get("pip_scale", 0.25),
-        transition_duration=kwargs.get("transition_duration", 0.5),
-    )
-
-    return VideoComposeService(config=config, work_dir=work_dir)

apps/worker/worker_app/core/config.py

@@ -18,6 +18,9 @@ class WorkerSettings(BaseSettings):
     environment: str = "development"
     auto_create_schema: bool = False
 
+    # 渲染引擎选择：legacy=旧VideoComposeService，unified=新UnifiedRenderService
+    render_engine: str = "legacy"
+
     model_config = SettingsConfigDict(
         env_file=".env",
         env_file_encoding="utf-8",

apps/worker/worker_app/tasks/compose_video.py

@@ -39,6 +39,10 @@ def _get_job_service():
 def compose_video(self, job_id: str, **kwargs):
     """视频合成任务。
 
+    根据 RENDER_ENGINE 配置选择渲染引擎：
+      - legacy: 旧 VideoComposeService（filter_complex 模式）
+      - unified: 新 UnifiedRenderService（图层架构）
+
     Args:
         job_id: JobService 中的任务 ID
         **kwargs: 来自 Job.payload 的额外参数（plan_id, output_path 等）
@@ -56,66 +60,18 @@ def compose_video(self, job_id: str, **kwargs):
             job_service.fail_job(job_id, "Missing plan_id in job payload")
             return {"status": "error", "message": "Missing plan_id"}
 
-        # 标记为 running
-        job_service.update_progress(job_id, progress=10.0, current_stage="初始化合成环境")
+        # 判断使用哪个渲染引擎
+        # 优先级：Redis Feature Flag（白名单 > 百分比） > 环境变量默认
+        from video_processing.render_engine_resolver import get_render_engine_resolver
 
-        # 延迟导入 VideoComposeService
-        from apps.api.app.services.video_compose_service import VideoComposeService
+        resolver = get_render_engine_resolver()
+        user_id = job.created_by_user_id or None
+        engine = resolver.get_engine(user_id=user_id)
 
-        compose_svc = VideoComposeService(db)
-
-        # 校验合成条件
-        job_service.update_progress(job_id, progress=20.0, current_stage="校验合成条件")
-        validation = compose_svc.validate_compose(plan_id)
-        if not validation.valid:
-            error_msg = "; ".join(validation.errors)
-            job_service.fail_job(job_id, f"合成校验失败: {error_msg}")
-            return {"status": "error", "message": error_msg}
-
-        # 构建合成命令
-        job_service.update_progress(job_id, progress=30.0, current_stage="构建 FFmpeg 命令")
-        _output_dir = os.environ.get("VIDEO_OUTPUT_DIR", os.path.join(tempfile.gettempdir(), "video_output"))
-        output_path = os.path.join(_output_dir, f"{job_id}.mp4")
-        compose_cmd = compose_svc.build_compose_command(plan_id, output_path)
-
-        # 执行 FFmpeg
-        job_service.update_progress(job_id, progress=50.0, current_stage="正在执行视频合成")
-        logger.info("Executing FFmpeg for job %s, plan %s", job_id, plan_id)
-
-        try:
-            subprocess.run(
-                compose_cmd.command,
-                check=True,
-                stdout=subprocess.PIPE,
-                stderr=subprocess.PIPE,
-                text=True,
-                timeout=3600,
-            )
-        except subprocess.CalledProcessError as e:
-            job_service.fail_job(job_id, f"FFmpeg 执行失败: {e.stderr[:500]}")
-            raise
-
-        # 上传结果
-        job_service.update_progress(job_id, progress=80.0, current_stage="上传合成结果")
-        storage_key = f"rendered/{plan_id}/{job_id}.mp4"
-
-        from worker_app.tasks.edit_plan_generation import _upload_to_oss
-
-        output_url = _upload_to_oss(Path(output_path), storage_key)
-
-        # 更新 Job 状态为完成
-        result_data = {
-            "plan_id": plan_id,
-            "output_path": output_path,
-            "storage_key": storage_key,
-            "output_url": output_url or "",
-            "estimated_duration": compose_cmd.estimated_duration,
-            "clip_count": len(compose_cmd.clip_chains),
-        }
-        job_service.complete_job(job_id, result=result_data)
-
-        logger.info("视频合成完成: job_id=%s, plan_id=%s", job_id, plan_id)
-        return {"status": "completed", "job_id": job_id, "result": result_data}
+        if engine == "unified":
+            return _compose_with_unified_engine(self, job_service, job, plan_id, db)
+        else:
+            return _compose_with_legacy_engine(self, job_service, job, plan_id, db)
 
     except self.retry_exc as exc:
         logger.warning("视频合成重试中: job_id=%s, exc=%s", job_id, exc)
@@ -129,11 +85,145 @@ def compose_video(self, job_id: str, **kwargs):
         raise self.retry(exc=exc, countdown=60)
     finally:
         db.close()
-        # 清理临时文件
+
+
+def _compose_with_legacy_engine(task, job_service, job, plan_id: str, db) -> dict:
+    """旧引擎渲染路径（VideoComposeService）。"""
+    job_id = job.id
+
+    # 标记为 running
+    job_service.update_progress(job_id, progress=10.0, current_stage="初始化合成环境")
+
+    # 延迟导入 VideoComposeService
+    from apps.api.app.services.video_compose_service import VideoComposeService
+
+    compose_svc = VideoComposeService(db)
+
+    # 校验合成条件
+    job_service.update_progress(job_id, progress=20.0, current_stage="校验合成条件")
+    validation = compose_svc.validate_compose(plan_id)
+    if not validation.valid:
+        error_msg = "; ".join(validation.errors)
+        job_service.fail_job(job_id, f"合成校验失败: {error_msg}")
+        return {"status": "error", "message": error_msg}
+
+    # 构建合成命令
+    job_service.update_progress(job_id, progress=30.0, current_stage="构建 FFmpeg 命令")
+    _output_dir = os.environ.get("VIDEO_OUTPUT_DIR", os.path.join(tempfile.gettempdir(), "video_output"))
+    output_path = os.path.join(_output_dir, f"{job_id}.mp4")
+    compose_cmd = compose_svc.build_compose_command(plan_id, output_path)
+
+    # 执行 FFmpeg
+    job_service.update_progress(job_id, progress=50.0, current_stage="正在执行视频合成")
+    logger.info("Executing FFmpeg for job %s, plan %s", job_id, plan_id)
+
+    try:
+        subprocess.run(
+            compose_cmd.command,
+            check=True,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+            timeout=3600,
+        )
+    except subprocess.CalledProcessError as e:
+        job_service.fail_job(job_id, f"FFmpeg 执行失败: {e.stderr[:500]}")
+        raise
+
+    # 上传结果
+    job_service.update_progress(job_id, progress=80.0, current_stage="上传合成结果")
+    storage_key = f"rendered/{plan_id}/{job_id}.mp4"
+
+    from worker_app.tasks.edit_plan_generation import _upload_to_oss
+
+    output_url = _upload_to_oss(Path(output_path), storage_key)
+
+    # 更新 Job 状态为完成
+    result_data = {
+        "plan_id": plan_id,
+        "output_path": output_path,
+        "storage_key": storage_key,
+        "output_url": output_url or "",
+        "estimated_duration": compose_cmd.estimated_duration,
+        "clip_count": len(compose_cmd.clip_chains),
+        "engine": "legacy",
+    }
+    job_service.complete_job(job_id, result=result_data)
+
+    logger.info("视频合成完成(legacy): job_id=%s, plan_id=%s", job_id, plan_id)
+    return {"status": "completed", "job_id": job_id, "result": result_data}
+
+
+def _compose_with_unified_engine(task, job_service, job, plan_id: str, db) -> dict:
+    """新引擎渲染路径（UnifiedRenderService + RenderAdapter）。"""
+    job_id = job.id
+
+    # 标记为 running
+    job_service.update_progress(job_id, progress=10.0, current_stage="初始化统一渲染引擎")
+
+    from video_processing.render_adapter import RenderAdapter
+
+    adapter = RenderAdapter(db)
+
+    # 校验合成条件
+    job_service.update_progress(job_id, progress=15.0, current_stage="校验合成条件")
+    valid, errors, warnings, ready_count, total_count = adapter.validate_plan(plan_id)
+    if not valid:
+        error_msg = "; ".join(errors)
+        job_service.fail_job(job_id, f"合成校验失败: {error_msg}")
+        return {"status": "error", "message": error_msg}
+
+    # 进度回调
+    def progress_cb(progress: float, stage: str) -> None:
         try:
-            _output_dir = os.environ.get("VIDEO_OUTPUT_DIR", os.path.join(tempfile.gettempdir(), "video_output"))
-            output_path = os.path.join(_output_dir, f"{job_id}.mp4")
-            if Path(output_path).exists():
-                Path(output_path).unlink()
-        except Exception as e:
-            logger.warning(f"Operation failed in apps/worker/worker_app/tasks/compose_video.py: {e}", exc_info=True)
+            job_service.update_progress(job_id, progress=progress, current_stage=stage)
+        except Exception:
+            logger.exception("更新进度失败")
+
+    # 执行渲染
+    job_service.update_progress(job_id, progress=20.0, current_stage="开始渲染")
+    logger.info("统一渲染引擎开始: job_id=%s plan_id=%s", job_id, plan_id)
+
+    result = adapter.render_plan(
+        plan_id=plan_id,
+        job_id=job_id,
+        progress_cb=progress_cb,
+    )
+
+    if not result.success:
+        job_service.fail_job(job_id, f"渲染失败: {result.error_message}")
+        raise RuntimeError(result.error_message)
+
+    # 更新 Job 状态为完成
+    result_data = {
+        "plan_id": plan_id,
+        "output_path": str(result.output_path) if result.output_path else "",
+        "storage_key": f"rendered/{plan_id}/{job_id}.mp4",
+        "output_url": result.output_url,
+        "estimated_duration": result.duration,
+        "clip_count": result.clip_count,
+        "engine": "unified",
+        "width": result.width,
+        "height": result.height,
+        "file_size": result.file_size,
+    }
+    job_service.complete_job(job_id, result=result_data)
+
+    logger.info(
+        "视频合成完成(unified): job_id=%s plan_id=%s duration=%.2fs",
+        job_id,
+        plan_id,
+        result.duration,
+    )
+    return {"status": "completed", "job_id": job_id, "result": result_data}
+
+
+def _cleanup_output(job_id: str) -> None:
+    """清理临时输出文件。"""
+    try:
+        _output_dir = os.environ.get("VIDEO_OUTPUT_DIR", os.path.join(tempfile.gettempdir(), "video_output"))
+        output_path = os.path.join(_output_dir, f"{job_id}.mp4")
+        if Path(output_path).exists():
+            Path(output_path).unlink()
+    except Exception as e:
+        logger.warning(f"清理输出文件失败: {e}", exc_info=True)

apps/worker/worker_app/tasks/edit_plan_generation.py

@@ -1,13 +1,18 @@
-"""剪辑计划渲染任务 — Phase 8 任务 2.05.
+"""剪辑计划渲染任务 — 支持 Feature Flag 灰度.
 
 Celery 任务 worker.render_edit_plan:
   1. 加载 EditPlan + EditPlanClips
-  2. 下载各片段素材
-  3. 使用 UnifiedRenderService 按时间线+图层渲染
+  2. 根据 Feature Flag 选择渲染引擎（legacy / unified）
+  3. 下载各片段素材 + 渲染
   4. 上传渲染结果到 OSS
   5. 创建 GeneratedVideo 记录 + 查重
   6. 更新 EditPlan / EditPlanClip 状态
   7. 更新 GenerationTask 进度
+
+渲染引擎灰度：
+  - 走 Feature Flag (render_engine) 控制
+  - legacy: VideoComposeService + FFmpeg filter_complex
+  - unified: UnifiedRenderService 图层架构
 """
 
 from __future__ import annotations
@@ -63,14 +68,268 @@ def _get_repos():
 # ── Celery Task ───────────────────────────────────────────────────────────────
 
 
+def _resolve_render_engine(user_id: str) -> str:
+    """根据 Feature Flag 决定使用哪个渲染引擎。
+
+    Returns:
+        "legacy" 或 "unified"
+    """
+    try:
+        from video_processing.render_engine_resolver import get_render_engine_resolver
+
+        resolver = get_render_engine_resolver()
+        return resolver.get_engine(user_id=user_id)
+    except Exception as exc:
+        logger.warning("获取渲染引擎配置失败，fallback 到 legacy: %s", exc)
+        return "legacy"
+
+
+def _mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, error_msg: str):
+    """统一的计划失败标记工具。"""
+    plan = plan_repo.get(plan_id)
+    if plan and plan.status.value == "rendering":
+        plan.mark_failed()
+        plan_repo.update(plan)
+    if generation_task_id:
+        gen_task = gen_task_repo.get(generation_task_id)
+        if gen_task and gen_task.status.value != "failed":
+            gen_task.status = "failed"
+            gen_task.error_message = error_msg
+            gen_task.completed_at = datetime.now(timezone.utc)
+            gen_task_repo.update(gen_task)
+
+
+def _finalize_render_success(
+    plan,
+    plan_repo,
+    clip_repo,
+    gen_task_repo,
+    db,
+    plan_id: str,
+    output_url: str,
+    storage_key: str,
+    duration: float,
+    file_size: int,
+    width: int,
+    height: int,
+    rendered_clip_ids: list[str],
+    failed_clip_ids: list[str],
+    generation_task_id: str,
+    output_path: Path,
+    engine: str,
+) -> dict:
+    """渲染成功后的统一收尾：查重 + 更新状态 + 返回结果。"""
+    # 创建 GeneratedVideo 记录 + 查重
+    project_id = plan.project_id or ""
+    batch_id = plan.config.get("batch_id", "")
+    mode = plan.config.get("mode", "edit_plan")
+    if generation_task_id and project_id:
+        try:
+            create_video_record_and_dedup(
+                generation_task_id=generation_task_id,
+                project_id=project_id,
+                batch_id=batch_id,
+                file_url=output_url or "",
+                file_size=file_size,
+                duration=duration,
+                video_path=str(output_path),
+                mode=mode,
+                session=db,
+                width=width,
+                height=height,
+                fps=OUTPUT_FPS,
+            )
+        except Exception as dedup_err:
+            logger.warning("查重失败（不影响渲染结果）: %s", dedup_err)
+
+    # 更新片段状态为 rendered
+    for clip_id in rendered_clip_ids:
+        clip = clip_repo.get(clip_id)
+        if clip and clip.status.value == "ready":
+            clip.mark_rendered()
+            clip_repo.update(clip)
+
+    # 更新 EditPlan 状态为 completed
+    plan.config["rendered_url"] = output_url or ""
+    plan.config["rendered_storage_key"] = storage_key
+    plan.mark_completed()
+    plan_repo.update(plan)
+
+    # 更新 GenerationTask 状态为 completed
+    if generation_task_id:
+        gen_task = gen_task_repo.get(generation_task_id)
+        if gen_task:
+            gen_task.status = "completed"
+            gen_task.progress = 100.0
+            gen_task.result_count = len(rendered_clip_ids)
+            gen_task.completed_at = datetime.now(timezone.utc)
+            gen_task_repo.update(gen_task)
+
+    logger.info(
+        "剪辑计划渲染完成: plan_id=%s engine=%s rendered=%d failed=%d duration=%.1fs",
+        plan_id,
+        engine,
+        len(rendered_clip_ids),
+        len(failed_clip_ids),
+        duration,
+    )
+
+    return {
+        "status": "completed",
+        "plan_id": plan_id,
+        "rendered_count": len(rendered_clip_ids),
+        "failed_count": len(failed_clip_ids),
+        "output_url": output_url,
+        "duration": duration,
+    }
+
+
+def _render_with_unified(
+    plan,
+    clips,
+    asset_path_map: dict[str, Path],
+    tmpdir_path: Path,
+    rendered_clip_ids: list[str],
+    plan_id: str,
+    generation_task_id: str,
+    plan_repo,
+    clip_repo,
+    gen_task_repo,
+    db,
+) -> dict:
+    """统一渲染引擎路径（UnifiedRenderService 图层架构）。"""
+    render_service = UnifiedRenderService(
+        plan=plan,
+        clips=clips,
+        asset_path_map=asset_path_map,
+        work_dir=tmpdir_path,
+        output_width=OUTPUT_WIDTH,
+        output_height=OUTPUT_HEIGHT,
+        output_fps=int(OUTPUT_FPS),
+    )
+
+    try:
+        render_result = render_service.render()
+    except Exception as render_err:
+        logger.error("渲染失败(unified): %s — %s", plan_id, render_err)
+        _mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, f"渲染失败: {render_err}")
+        return {"status": "error", "message": f"渲染失败: {render_err}"}
+
+    output_path = render_result.output_path
+
+    # 上传到 OSS
+    storage_key = f"rendered/{plan_id}/output.mp4"
+    output_url = upload_to_oss(output_path, storage_key)
+
+    failed_clip_ids: list[str] = []
+    return _finalize_render_success(
+        plan=plan,
+        plan_repo=plan_repo,
+        clip_repo=clip_repo,
+        gen_task_repo=gen_task_repo,
+        db=db,
+        plan_id=plan_id,
+        output_url=output_url or "",
+        storage_key=storage_key,
+        duration=render_result.duration,
+        file_size=render_result.file_size,
+        width=render_result.width,
+        height=render_result.height,
+        rendered_clip_ids=rendered_clip_ids,
+        failed_clip_ids=failed_clip_ids,
+        generation_task_id=generation_task_id,
+        output_path=output_path,
+        engine="unified",
+    )
+
+
+def _render_with_legacy(
+    plan,
+    clips,
+    rendered_clip_ids: list[str],
+    failed_clip_ids: list[str],
+    tmpdir_path: Path,
+    plan_id: str,
+    generation_task_id: str,
+    plan_repo,
+    clip_repo,
+    gen_task_repo,
+    db,
+) -> dict:
+    """旧引擎路径（VideoComposeService + FFmpeg filter_complex）。"""
+    import os
+    import subprocess
+
+    from apps.api.app.services.video_compose_service import VideoComposeService
+
+    compose_svc = VideoComposeService(db)
+
+    # 校验合成条件
+    validation = compose_svc.validate_compose(plan_id)
+    if not validation.valid:
+        error_msg = "; ".join(validation.errors)
+        logger.error("合成校验失败(legacy): %s — %s", plan_id, error_msg)
+        _mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, f"合成校验失败: {error_msg}")
+        return {"status": "error", "message": error_msg}
+
+    # 构建 FFmpeg 命令
+    output_dir = os.environ.get("VIDEO_OUTPUT_DIR", str(tmpdir_path))
+    output_path = Path(output_dir) / f"{plan_id}.mp4"
+    compose_cmd = compose_svc.build_compose_command(plan_id, str(output_path))
+
+    logger.info("执行 FFmpeg (legacy): plan_id=%s", plan_id)
+    try:
+        subprocess.run(
+            compose_cmd.command,
+            check=True,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+            timeout=3600,
+        )
+    except subprocess.CalledProcessError as e:
+        error_msg = f"FFmpeg 执行失败: {e.stderr[:500]}"
+        logger.error("FFmpeg 执行失败(legacy): %s — %s", plan_id, error_msg)
+        _mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, error_msg)
+        return {"status": "error", "message": error_msg}
+
+    # 获取文件大小
+    file_size = output_path.stat().st_size if output_path.exists() else 0
+    duration = compose_cmd.estimated_duration or 0.0
+
+    # 上传到 OSS
+    storage_key = f"rendered/{plan_id}/output.mp4"
+    output_url = upload_to_oss(output_path, storage_key)
+
+    return _finalize_render_success(
+        plan=plan,
+        plan_repo=plan_repo,
+        clip_repo=clip_repo,
+        gen_task_repo=gen_task_repo,
+        db=db,
+        plan_id=plan_id,
+        output_url=output_url or "",
+        storage_key=storage_key,
+        duration=duration,
+        file_size=file_size,
+        width=OUTPUT_WIDTH,
+        height=OUTPUT_HEIGHT,
+        rendered_clip_ids=rendered_clip_ids,
+        failed_clip_ids=failed_clip_ids,
+        generation_task_id=generation_task_id,
+        output_path=output_path,
+        engine="legacy",
+    )
+
+
 @celery_app.task(name="worker.render_edit_plan", bind=True, max_retries=2)
 def render_edit_plan(self, plan_id: str) -> dict:
     """渲染剪辑计划
 
     流程：
     1. 加载 EditPlan + EditPlanClips
-    2. 下载各片段素材到临时目录，构建 asset_path_map
-    3. 使用 UnifiedRenderService 按时间线+图层渲染
+    2. 根据 Feature Flag 选择渲染引擎（legacy / unified）
+    3. 下载素材 + 渲染
     4. 上传渲染结果到 OSS
     5. 创建 GeneratedVideo 记录 + 查重
     6. 更新 EditPlan → completed, EditPlanClips → rendered
@@ -79,6 +338,7 @@ def render_edit_plan(self, plan_id: str) -> dict:
     logger.info("开始渲染剪辑计划: plan_id=%s", plan_id)
 
     generation_task_id = ""
+    engine = "legacy"
 
     for repos in _get_repos():
         plan_repo, clip_repo, gen_task_repo, db = repos
@@ -93,7 +353,12 @@ def render_edit_plan(self, plan_id: str) -> dict:
             # 获取 generation_task_id（提前读取，确保 except 块可用）
             generation_task_id = plan.config.get("generation_task_id", "")
 
-            # 2. 加载片段列表（按 order 排序）
+            # 2. 选择渲染引擎（Feature Flag 灰度控制）
+            user_id = plan.created_by_user_id or ""
+            engine = _resolve_render_engine(user_id)
+            logger.info("剪辑计划渲染引擎: plan_id=%s engine=%s user_id=%s", plan_id, engine, user_id)
+
+            # 3. 加载片段列表（按 order 排序）
             clips = clip_repo.list_by_plan(plan_id, skip=0, limit=10000)
             if not clips:
                 logger.warning("剪辑计划没有片段: %s", plan_id)
@@ -116,6 +381,15 @@ def render_edit_plan(self, plan_id: str) -> dict:
                 rendered_clip_ids: list[str] = []
                 failed_clip_ids: list[str] = []
 
+                # 预先批量查询所有素材的 storage_key（file_url）
+                from packages.adapters.sqlalchemy_impl.models import AssetModel
+
+                clip_asset_ids = [c.asset_id for c in clips if c.asset_id]
+                asset_storage_map: dict[str, str] = {}
+                if clip_asset_ids:
+                    assets = db.query(AssetModel).filter(AssetModel.id.in_(clip_asset_ids)).all()
+                    asset_storage_map = {a.id: a.file_url for a in assets if a.file_url}
+
                 for clip in clips:
                     if not clip.asset_id:
                         # 没有素材的片段跳过，标记为失败
@@ -129,10 +403,22 @@ def render_edit_plan(self, plan_id: str) -> dict:
                         rendered_clip_ids.append(clip.id)
                         continue
 
+                    storage_key = asset_storage_map.get(clip.asset_id)
+                    if not storage_key:
+                        logger.warning(
+                            "片段素材无 storage_key，跳过: clip_id=%s asset_id=%s",
+                            clip.id,
+                            clip.asset_id,
+                        )
+                        clip.mark_failed()
+                        clip_repo.update(clip)
+                        failed_clip_ids.append(clip.id)
+                        continue
+
                     # 下载素材
-                    ext = Path(clip.asset_id).suffix or ".mp4"
+                    ext = Path(storage_key).suffix or ".mp4"
                     local_path = tmpdir_path / f"clip_{clip.order:04d}{ext}"
-                    if download_asset(clip.asset_id, local_path):
+                    if download_asset(storage_key, local_path):
                         asset_path_map[clip.asset_id] = local_path
                         rendered_clip_ids.append(clip.id)
                     else:
@@ -153,100 +439,38 @@ def render_edit_plan(self, plan_id: str) -> dict:
                             gen_task_repo.update(gen_task)
                     return {"status": "error", "message": "所有片段素材下载失败"}
 
-                # 4. 使用 UnifiedRenderService 渲染
-                render_service = UnifiedRenderService(
-                    plan=plan,
-                    clips=clips,
-                    asset_path_map=asset_path_map,
-                    work_dir=tmpdir_path,
-                    output_width=OUTPUT_WIDTH,
-                    output_height=OUTPUT_HEIGHT,
-                    output_fps=int(OUTPUT_FPS),
-                )
+                # 4. 根据引擎选择渲染方式
+                if engine == "unified":
+                    result = _render_with_unified(
+                        plan=plan,
+                        clips=clips,
+                        asset_path_map=asset_path_map,
+                        tmpdir_path=tmpdir_path,
+                        rendered_clip_ids=rendered_clip_ids,
+                        plan_id=plan_id,
+                        generation_task_id=generation_task_id,
+                        plan_repo=plan_repo,
+                        clip_repo=clip_repo,
+                        gen_task_repo=gen_task_repo,
+                        db=db,
+                    )
+                else:
+                    result = _render_with_legacy(
+                        plan=plan,
+                        clips=clips,
+                        rendered_clip_ids=rendered_clip_ids,
+                        failed_clip_ids=failed_clip_ids,
+                        tmpdir_path=tmpdir_path,
+                        plan_id=plan_id,
+                        generation_task_id=generation_task_id,
+                        plan_repo=plan_repo,
+                        clip_repo=clip_repo,
+                        gen_task_repo=gen_task_repo,
+                        db=db,
+                    )
 
-                try:
-                    render_result = render_service.render()
-                except Exception as render_err:
-                    logger.error("渲染失败: %s — %s", plan_id, render_err)
-                    plan.mark_failed()
-                    plan_repo.update(plan)
-                    if generation_task_id:
-                        gen_task = gen_task_repo.get(generation_task_id)
-                        if gen_task:
-                            gen_task.status = "failed"
-                            gen_task.error_message = f"渲染失败: {render_err}"
-                            gen_task.completed_at = datetime.now(timezone.utc)
-                            gen_task_repo.update(gen_task)
-                    return {"status": "error", "message": f"渲染失败: {render_err}"}
-
-                output_path = render_result.output_path
-
-                # 5. 上传到 OSS
-                storage_key = f"rendered/{plan_id}/output.mp4"
-                output_url = upload_to_oss(output_path, storage_key)
-
-                # 6. 创建 GeneratedVideo 记录 + 查重
-                project_id = plan.project_id or ""
-                batch_id = plan.config.get("batch_id", "")
-                mode = plan.config.get("mode", "edit_plan")
-                if generation_task_id and project_id:
-                    try:
-                        create_video_record_and_dedup(
-                            generation_task_id=generation_task_id,
-                            project_id=project_id,
-                            batch_id=batch_id,
-                            file_url=output_url or "",
-                            file_size=render_result.file_size,
-                            duration=render_result.duration,
-                            video_path=str(output_path),
-                            mode=mode,
-                            session=db,
-                            width=render_result.width,
-                            height=render_result.height,
-                            fps=OUTPUT_FPS,
-                        )
-                    except Exception as dedup_err:
-                        logger.warning("查重失败（不影响渲染结果）: %s", dedup_err)
-
-                # 7. 更新片段状态为 rendered
-                for clip_id in rendered_clip_ids:
-                    clip = clip_repo.get(clip_id)
-                    if clip and clip.status.value == "ready":
-                        clip.mark_rendered()
-                        clip_repo.update(clip)
-
-                # 8. 更新 EditPlan 状态为 completed
-                plan.config["rendered_url"] = output_url or ""
-                plan.config["rendered_storage_key"] = storage_key
-                plan.mark_completed()
-                plan_repo.update(plan)
-
-                # 9. 更新 GenerationTask 状态为 completed
-                if generation_task_id:
-                    gen_task = gen_task_repo.get(generation_task_id)
-                    if gen_task:
-                        gen_task.status = "completed"
-                        gen_task.progress = 100.0
-                        gen_task.result_count = len(rendered_clip_ids)
-                        gen_task.completed_at = datetime.now(timezone.utc)
-                        gen_task_repo.update(gen_task)
-
-                logger.info(
-                    "剪辑计划渲染完成: plan_id=%s rendered=%d failed=%d duration=%.1fs",
-                    plan_id,
-                    len(rendered_clip_ids),
-                    len(failed_clip_ids),
-                    render_result.duration,
-                )
-
-                return {
-                    "status": "completed",
-                    "plan_id": plan_id,
-                    "rendered_count": len(rendered_clip_ids),
-                    "failed_count": len(failed_clip_ids),
-                    "output_url": output_url,
-                    "duration": render_result.duration,
-                }
+                result["engine"] = engine
+                return result
 
         except Exception as exc:
             logger.exception("渲染剪辑计划异常: %s", plan_id)

apps/worker/worker_app/tasks/generation.py

@@ -114,6 +114,7 @@ from video_processing.oss_helpers import (
     upload_to_oss,
 )
 from video_processing.unified_render_service import UnifiedRenderService
+from video_processing.render_engine_resolver import ENGINE_LEGACY, ENGINE_UNIFIED
 
 # ── 虚拟 Plan / Clip（内存中构建，不写数据库） ────────────────────────────────
 
@@ -124,6 +125,7 @@ class _VirtualPlan:
 
     id: str
     name: str = ""
+    config: dict[str, Any] = field(default_factory=dict)
 
 
 @dataclass
@@ -161,13 +163,15 @@ def _build_plan_and_clips_from_task(
     """
     plan = _VirtualPlan(id=task_id, name=f"Generated-{task_id[:8]}")
 
-    # 为每个下载路径生成合成 asset_id
+    # 为每个下载路径生成合成 asset_id，并预探测素材时长
     asset_path_map: dict[str, Path] = {}
     path_to_asset_id: dict[Path, str] = {}
+    path_duration: dict[Path, float] = {}
     for i, p in enumerate(downloaded_paths):
         asset_id = f"gen_{task_id[:8]}_{i:03d}{p.suffix or '.mp4'}"
         asset_path_map[asset_id] = p
         path_to_asset_id[p] = asset_id
+        path_duration[p] = probe_duration(p)
 
     clips: list[_VirtualClip] = []
     n = len(downloaded_paths)
@@ -183,6 +187,7 @@ def _build_plan_and_clips_from_task(
                     clip_type=clip_type,
                     order=i,
                     asset_id=path_to_asset_id[p],
+                    duration=path_duration[p],
                 )
             )
     elif mode == "voice_over":
@@ -195,6 +200,7 @@ def _build_plan_and_clips_from_task(
                     clip_type="main",
                     order=i,
                     asset_id=path_to_asset_id[p],
+                    duration=path_duration[p],
                     config={"role": "b_roll"},
                 )
             )
@@ -214,6 +220,7 @@ def _build_plan_and_clips_from_task(
                     clip_type=clip_type,
                     order=i,
                     asset_id=path_to_asset_id[p],
+                    duration=path_duration[p],
                 )
             )
     else:
@@ -226,6 +233,7 @@ def _build_plan_and_clips_from_task(
                     clip_type="main",
                     order=i,
                     asset_id=path_to_asset_id[p],
+                    duration=path_duration[p],
                 )
             )
 
@@ -380,31 +388,37 @@ def _download_library_assets(
 
         session = SessionLocal()
         try:
-            # 构建查询：根据模式选择不同的过滤条件
+            # 构建查询
             query = session.query(AssetModel).filter(
                 AssetModel.status == "ready",
                 AssetModel.file_type.in_(["video", "video/mp4", "video/quicktime"]),
             )
 
-            if asset_library_id:
-                # 素材库模式
-                query = query.filter(AssetModel.asset_library_id == asset_library_id)
+            if asset_ids:
+                # 明确指定了 asset_ids：直接按 ID 查，不预先按 library/project 过滤
+                # 避免项目级素材或跨库素材因为 library_id 不匹配而查不到
+                # 归属安全由后面的归属校验保证
+                query = query.filter(AssetModel.id.in_(asset_ids))
                 logger.info(
-                    "下载素材库视频: asset_library_id=%s asset_ids=%s",
-                    asset_library_id,
-                    asset_ids or "all",
+                    "下载指定素材: asset_ids=%d 个, asset_library_id=%s, project_id=%s",
+                    len(asset_ids),
+                    asset_library_id or "none",
+                    project_id or "none",
                 )
             else:
-                # 项目级模式
-                query = query.filter(AssetModel.project_id == project_id)
-                logger.info(
-                    "下载项目级视频: project_id=%s asset_ids=%s",
-                    project_id,
-                    asset_ids or "all",
-                )
-
-            if asset_ids:
-                query = query.filter(AssetModel.id.in_(asset_ids))
+                # 未指定 asset_ids：按 library 或 project 下载全部 ready 视频
+                if asset_library_id:
+                    query = query.filter(AssetModel.asset_library_id == asset_library_id)
+                    logger.info(
+                        "下载素材库全部视频: asset_library_id=%s",
+                        asset_library_id,
+                    )
+                else:
+                    query = query.filter(AssetModel.project_id == project_id)
+                    logger.info(
+                        "下载项目全部视频: project_id=%s",
+                        project_id,
+                    )
 
             assets = query.order_by(AssetModel.created_at).all()
 
@@ -421,13 +435,15 @@ def _download_library_assets(
                 if missing_ids:
                     raise ValueError(f"素材不存在: asset_ids={sorted(missing_ids)}")
                 for asset in assets:
+                    # 校验素材库归属（只要传了 asset_library_id 就校验）
                     if asset_library_id and asset.asset_library_id != asset_library_id:
                         raise ValueError(
                             f"素材不属于指定素材库: asset_id={asset.id}, "
                             f"expected_asset_library_id={asset_library_id}, "
                             f"actual_asset_library_id={asset.asset_library_id}"
                         )
-                    if not asset_library_id and project_id and asset.project_id != project_id:
+                    # 校验项目归属（只要传了 project_id 就校验）
+                    if project_id and asset.project_id != project_id:
                         raise ValueError(
                             f"素材不属于指定项目: asset_id={asset.id}, "
                             f"expected_project_id={project_id}, "
@@ -558,6 +574,135 @@ def _validate_template_exists(template_id: str) -> None:
         session.close()
 
 
+# ── 渲染引擎选择 ─────────────────────────────────────────────────────────────
+
+
+def _resolve_render_engine(user_id: str) -> str:
+    """根据 Feature Flag 决定使用哪个渲染引擎。
+
+    Returns:
+        "legacy" 或 "unified"
+    """
+    try:
+        from video_processing.render_engine_resolver import get_render_engine_resolver
+
+        resolver = get_render_engine_resolver()
+        return resolver.get_engine(user_id=user_id)
+    except Exception as exc:
+        logger.warning("获取渲染引擎配置失败，fallback 到 unified: %s", exc)
+        return ENGINE_UNIFIED
+
+
+# ── 旧引擎渲染（FFmpeg filter_complex） ────────────────────────────────────────
+
+
+def _render_with_legacy_engine(
+    task_id: str,
+    virtual_clips: list[_VirtualClip],
+    asset_path_map: dict[str, Path],
+    work_dir: Path,
+    output_path: Path,
+) -> tuple[float, int]:
+    """旧引擎渲染路径：手动构建 FFmpeg filter_complex 命令。
+
+    说明：generate_video 任务使用虚拟 clips（无 EditPlan 数据库记录），
+    因此无法直接复用 VideoComposeService。这里手动构建等价的 filter_complex
+    命令，与旧引擎行为一致（scale → crop → setpts → trim → setpts，
+    无 fps 归一化，保持原帧率）。
+
+    支持模式：one_take / pip / voice_over / voice_pip
+    - 所有模式统一走 concat 滤镜（与旧引擎多片段逻辑一致）
+
+    Returns:
+        (duration_seconds, file_size_bytes)
+    """
+    import subprocess
+
+    main_clips = [
+        c for c in virtual_clips
+        if c.clip_type in ("main", "b_roll", "background")
+        or (c.clip_type == "main" and c.config.get("role") == "b_roll")
+    ]
+    if not main_clips:
+        main_clips = virtual_clips[:1]
+
+    input_args: list[str] = []
+    video_filters: list[str] = []
+    audio_filters: list[str] = []
+
+    for i, clip in enumerate(main_clips):
+        local_path = asset_path_map.get(clip.asset_id)
+        if not local_path:
+            continue
+        input_args.extend(["-i", str(local_path)])
+
+        duration = clip.duration or 0.0
+
+        # 视频滤镜：scale → crop → setpts → trim → setpts（与旧引擎一致）
+        vf = (
+            f"[{i}:v]"
+            f"scale={OUTPUT_WIDTH}:{OUTPUT_HEIGHT}:force_original_aspect_ratio=increase,"
+            f"crop={OUTPUT_WIDTH}:{OUTPUT_HEIGHT},"
+            f"setpts=PTS-STARTPTS,"
+            f"trim=0:{duration:.3f},"
+            f"setpts=PTS-STARTPTS"
+            f"[v{i}]"
+        )
+        video_filters.append(vf)
+
+        # 音频滤镜：atrim → asetpts
+        af = f"[{i}:a]atrim=0:{duration:.3f},asetpts=PTS-STARTPTS[a{i}]"
+        audio_filters.append(af)
+
+    n = len(main_clips)
+
+    if n == 1:
+        video_label = "[v0]"
+        audio_label = "[a0]"
+    else:
+        # concat 视频
+        v_inputs = "".join(f"[v{i}]" for i in range(n))
+        video_filters.append(f"{v_inputs}concat=n={n}:v=1:a=0[outv]")
+        # concat 音频
+        a_inputs = "".join(f"[a{i}]" for i in range(n))
+        audio_filters.append(f"{a_inputs}concat=n={n}:v=0:a=1[outa]")
+        video_label = "[outv]"
+        audio_label = "[outa]"
+
+    # 组装 filter_complex
+    fc_parts = video_filters + audio_filters
+    filter_complex = ";".join(fc_parts)
+
+    command = [
+        FFMPEG_BIN, "-y",
+        *input_args,
+        "-filter_complex", filter_complex,
+        "-map", video_label,
+        "-map", audio_label,
+        "-c:v", "libx264",
+        "-crf", "23",
+        "-preset", "medium",
+        "-c:a", "aac",
+        "-b:a", "192k",
+        "-movflags", "+faststart",
+        str(output_path),
+    ]
+
+    logger.info("[task_id=%s] [渲染] legacy 引擎 FFmpeg 开始: clips=%d", task_id, n)
+    try:
+        run_ffmpeg(command)
+    except subprocess.CalledProcessError as e:
+        logger.error(
+            "[task_id=%s] [渲染] legacy 引擎 FFmpeg 失败: %s\nfilter_complex: %s",
+            task_id, e, filter_complex[:500],
+        )
+        raise
+
+    file_size = output_path.stat().st_size if output_path.exists() else 0
+    duration = probe_duration(output_path)
+    return duration, file_size
+
+
 # ── Celery Task ──────────────────────────────────────────────────────────────
 
 
@@ -715,31 +860,56 @@ def generate_video(self, task_id: str) -> dict:
                 )
                 _flush_logs(task_id, gen_task)
 
-            # 使用 UnifiedRenderService 渲染
-            logger.info("[task_id=%s] [渲染] FFmpeg 渲染开始", task_id)
+            # 3. 根据 Feature Flag 选择渲染引擎
+            user_id = getattr(gen_task, "created_by_user_id", "") if gen_task else ""
+            engine = _resolve_render_engine(user_id) if user_id else ENGINE_UNIFIED
+            logger.info("[task_id=%s] [渲染] 引擎选择: %s (user_id=%s)", task_id, engine, user_id)
+
             render_start = time.monotonic()
-            render_service = UnifiedRenderService(
-                plan=virtual_plan,
-                clips=virtual_clips,
-                asset_path_map=asset_path_map,
-                work_dir=temp_path,
-                output_width=OUTPUT_WIDTH,
-                output_height=OUTPUT_HEIGHT,
-                output_fps=int(OUTPUT_FPS),
-            )
-            render_result = render_service.render()
-            render_elapsed = time.monotonic() - render_start
-            logger.info(
-                "[task_id=%s] [渲染] FFmpeg 渲染完成: 耗时=%.1fs",
-                task_id,
-                render_elapsed,
-            )
+            render_output_path = temp_path / f"rendered-{task_id}.mp4"
+
+            if engine == ENGINE_LEGACY:
+                # 旧引擎：filter_complex + concat（保持原帧率，无 fps 归一化）
+                render_duration, render_file_size = _render_with_legacy_engine(
+                    task_id=task_id,
+                    virtual_clips=virtual_clips,
+                    asset_path_map=asset_path_map,
+                    work_dir=temp_path,
+                    output_path=render_output_path,
+                )
+                render_elapsed = time.monotonic() - render_start
+                logger.info(
+                    "[task_id=%s] [渲染] legacy 引擎完成: 耗时=%.1fs, 时长=%.2fs",
+                    task_id, render_elapsed, render_duration,
+                )
+            else:
+                # 新引擎：UnifiedRenderService 图层架构
+                logger.info("[task_id=%s] [渲染] unified 引擎 FFmpeg 渲染开始", task_id)
+                render_service = UnifiedRenderService(
+                    plan=virtual_plan,
+                    clips=virtual_clips,
+                    asset_path_map=asset_path_map,
+                    work_dir=temp_path,
+                    output_width=OUTPUT_WIDTH,
+                    output_height=OUTPUT_HEIGHT,
+                    output_fps=int(OUTPUT_FPS),
+                )
+                render_result = render_service.render()
+                render_output_path = render_result.output_path
+                render_duration = render_result.duration
+                render_file_size = render_result.file_size
+                render_elapsed = time.monotonic() - render_start
+                logger.info(
+                    "[task_id=%s] [渲染] unified 引擎完成: 耗时=%.1fs",
+                    task_id, render_elapsed,
+                )
 
             if gen_task:
                 gen_task.append_log(
                     "渲染",
-                    f"FFmpeg 渲染完成, 耗时={render_elapsed:.1f}s",
+                    f"引擎={engine}, 耗时={render_elapsed:.1f}s",
                     duration=round(render_elapsed, 2),
+                    engine=engine,
                 )
                 _flush_logs(task_id, gen_task)
 
@@ -747,14 +917,14 @@ def generate_video(self, task_id: str) -> dict:
             if audio_path:
                 final_path = temp_path / f"final-{task_id}.mp4"
                 try:
-                    _mux_audio_track(render_result.output_path, audio_path, final_path)
+                    _mux_audio_track(render_output_path, audio_path, final_path)
                     # 混音成功，使用混音后的文件
                     output_path = final_path
                 except Exception as mux_err:
                     logger.warning("[task_id=%s] [混音] 音频混合失败，使用无音频版本: %s", task_id, mux_err)
-                    output_path = render_result.output_path
+                    output_path = render_output_path
             else:
-                output_path = render_result.output_path
+                output_path = render_output_path
 
             file_size = output_path.stat().st_size
             duration = probe_duration(output_path)

packages/adapters/redis/__init__.py

@@ -1,3 +1,9 @@
+from packages.adapters.redis.feature_flag_store import (
+    FeatureFlagConfig,
+    FeatureFlagStore,
+    InMemoryFeatureFlagStore,
+    RedisFeatureFlagStore,
+)
 from packages.adapters.redis.session_store import (
     NoopSessionStore,
     RedisConfig,
@@ -5,4 +11,13 @@ from packages.adapters.redis.session_store import (
     get_session_store,
 )
 
-__all__ = ["NoopSessionStore", "RedisConfig", "SessionStore", "get_session_store"]
+__all__ = [
+    "FeatureFlagConfig",
+    "FeatureFlagStore",
+    "InMemoryFeatureFlagStore",
+    "NoopSessionStore",
+    "RedisConfig",
+    "RedisFeatureFlagStore",
+    "SessionStore",
+    "get_session_store",
+]

packages/adapters/redis/feature_flag_store.py

@@ -0,0 +1,259 @@
+"""Feature Flag 存储实现。
+
+支持两种后端：
+- RedisFeatureFlagStore：生产环境使用，支持多实例共享、热更新
+- InMemoryFeatureFlagStore：测试/开发环境使用，纯内存
+
+支持的 Flag 类型：
+- 全局开关（enabled: bool）
+- 白名单（whitelist: Set[str]，如 user_id 列表）
+- 百分比切流（percentage: 0-100，基于标识符哈希取模）
+
+判定优先级：白名单 > 百分比 > 全局开关
+"""
+
+from __future__ import annotations
+
+import hashlib
+import json
+import logging
+import threading
+import time
+from abc import ABC, abstractmethod
+from dataclasses import dataclass, field
+from typing import Optional, Set
+
+logger = logging.getLogger(__name__)
+
+# Redis key 前缀
+FEATURE_FLAG_REDIS_PREFIX = "feature_flag:"
+
+
+@dataclass
+class FeatureFlagConfig:
+    """单个 Feature Flag 的配置。"""
+
+    name: str
+    enabled: bool = False
+    percentage: int = 0  # 0-100
+    whitelist: Set[str] = field(default_factory=set)
+
+    def to_dict(self) -> dict:
+        return {
+            "name": self.name,
+            "enabled": self.enabled,
+            "percentage": self.percentage,
+            "whitelist": sorted(self.whitelist),
+        }
+
+    @classmethod
+    def from_dict(cls, data: dict) -> "FeatureFlagConfig":
+        return cls(
+            name=data["name"],
+            enabled=bool(data.get("enabled", False)),
+            percentage=int(data.get("percentage", 0)),
+            whitelist=set(data.get("whitelist", [])),
+        )
+
+    def is_active(self, identifier: Optional[str] = None) -> bool:
+        """判断当前 flag 是否激活。
+
+        判定优先级：
+        1. 全局关闭 → False
+        2. 白名单匹配 → True
+        3. 百分比命中 → True
+        4. 其他 → False
+
+        Args:
+            identifier: 用于白名单匹配和百分比哈希的标识符（如 user_id）。
+                       传 None 时只看全局开关 + 百分比（百分比用随机值）。
+        """
+        if not self.enabled:
+            return False
+
+        # 白名单：精确匹配
+        if identifier and identifier in self.whitelist:
+            return True
+
+        # 百分比：0 直接 False，100 直接 True
+        if self.percentage <= 0:
+            # 没有白名单且百分比为0 → 未启用
+            return False
+        if self.percentage >= 100:
+            return True
+
+        # 基于 identifier 做哈希取模，确保同一用户始终落在同一侧
+        if identifier:
+            hash_val = int(
+                hashlib.md5(f"{self.name}:{identifier}".encode("utf-8")).hexdigest(), 16  # nosec B324
+            )  # nosec B324 - 用于哈希取模做百分比切流，非安全用途
+            return (hash_val % 100) < self.percentage
+
+        # 无 identifier 且百分比在 0-100 之间 → 按比例随机（不保证一致性）
+        import random
+
+        return random.randint(0, 99) < self.percentage
+
+
+class FeatureFlagStore(ABC):
+    """Feature Flag 存储抽象接口。"""
+
+    @abstractmethod
+    def get(self, name: str) -> FeatureFlagConfig:
+        """获取指定 flag 的配置，不存在则返回默认配置（关闭状态）。"""
+        ...
+
+    @abstractmethod
+    def set(self, config: FeatureFlagConfig) -> None:
+        """设置 flag 配置。"""
+        ...
+
+    @abstractmethod
+    def delete(self, name: str) -> bool:
+        """删除 flag，返回是否成功删除。"""
+        ...
+
+    @abstractmethod
+    def list_all(self) -> dict[str, FeatureFlagConfig]:
+        """列出所有 flag。"""
+        ...
+
+    def is_active(self, name: str, identifier: Optional[str] = None) -> bool:
+        """便捷方法：判断 flag 是否激活。"""
+        return self.get(name).is_active(identifier)
+
+
+class InMemoryFeatureFlagStore(FeatureFlagStore):
+    """内存实现，用于测试和本地开发。"""
+
+    def __init__(self) -> None:
+        self._flags: dict[str, FeatureFlagConfig] = {}
+        self._lock = threading.Lock()
+
+    def get(self, name: str) -> FeatureFlagConfig:
+        with self._lock:
+            return self._flags.get(name, FeatureFlagConfig(name=name, enabled=False))
+
+    def set(self, config: FeatureFlagConfig) -> None:
+        with self._lock:
+            self._flags[config.name] = config
+
+    def delete(self, name: str) -> bool:
+        with self._lock:
+            if name in self._flags:
+                del self._flags[name]
+                return True
+            return False
+
+    def list_all(self) -> dict[str, FeatureFlagConfig]:
+        with self._lock:
+            return dict(self._flags)
+
+
+class RedisFeatureFlagStore(FeatureFlagStore):
+    """Redis 实现，支持多实例共享配置。
+
+    每个 flag 存在一个独立的 Redis hash key 中：
+      Key: feature_flag:{name}
+      Fields: enabled, percentage, whitelist(JSON array)
+    """
+
+    def __init__(self, redis_url: str, key_prefix: str = FEATURE_FLAG_REDIS_PREFIX) -> None:
+        import redis as redis_lib
+
+        self._redis = redis_lib.from_url(redis_url, decode_responses=True)
+        self._key_prefix = key_prefix
+        # 本地缓存 + TTL，减少 Redis 调用
+        self._cache: dict[str, tuple[FeatureFlagConfig, float]] = {}
+        self._cache_ttl = 5.0  # 秒，默认5秒本地缓存
+        self._lock = threading.Lock()
+
+    def _redis_key(self, name: str) -> str:
+        return f"{self._key_prefix}{name}"
+
+    def _parse_whitelist(self, raw: Optional[str]) -> Set[str]:
+        if not raw:
+            return set()
+        try:
+            data = json.loads(raw)
+            return set(data) if isinstance(data, list) else set()
+        except (json.JSONDecodeError, TypeError):
+            return set()
+
+    def get(self, name: str) -> FeatureFlagConfig:
+        now = time.time()
+
+        # 先查本地缓存
+        with self._lock:
+            cached = self._cache.get(name)
+            if cached and now - cached[1] < self._cache_ttl:
+                return cached[0]
+
+        # 从 Redis 读取
+        try:
+            key = self._redis_key(name)
+            data = self._redis.hgetall(key)
+            if not data:
+                config = FeatureFlagConfig(name=name, enabled=False)
+            else:
+                config = FeatureFlagConfig(
+                    name=name,
+                    enabled=(data.get("enabled", "0") in ("1", "true", "True")),
+                    percentage=int(data.get("percentage", 0)),
+                    whitelist=self._parse_whitelist(data.get("whitelist")),
+                )
+
+            # 写入本地缓存
+            with self._lock:
+                self._cache[name] = (config, now)
+
+            return config
+        except Exception as exc:
+            logger.warning("Failed to get feature flag %s from Redis: %s", name, exc)
+            # Redis 不可用时返回默认值（关闭），不影响业务
+            return FeatureFlagConfig(name=name, enabled=False)
+
+    def set(self, config: FeatureFlagConfig) -> None:
+        key = self._redis_key(config.name)
+        self._redis.hset(
+            key,
+            mapping={
+                "enabled": "1" if config.enabled else "0",
+                "percentage": str(config.percentage),
+                "whitelist": json.dumps(sorted(config.whitelist), ensure_ascii=False),
+            },
+        )
+        # 失效本地缓存
+        with self._lock:
+            self._cache.pop(config.name, None)
+
+    def delete(self, name: str) -> bool:
+        key = self._redis_key(name)
+        result = self._redis.delete(key)
+        with self._lock:
+            self._cache.pop(name, None)
+        return bool(result)
+
+    def list_all(self) -> dict[str, FeatureFlagConfig]:
+        pattern = f"{self._key_prefix}*"
+        result: dict[str, FeatureFlagConfig] = {}
+        try:
+            cursor = 0
+            while True:
+                cursor, keys = self._redis.scan(cursor=cursor, match=pattern, count=100)
+                for key in keys:
+                    name = key[len(self._key_prefix) :]
+                    result[name] = self.get(name)
+                if cursor == 0:
+                    break
+        except Exception as exc:
+            logger.warning("Failed to list feature flags from Redis: %s", exc)
+        return result
+
+    def invalidate_cache(self, name: Optional[str] = None) -> None:
+        """手动失效本地缓存。"""
+        with self._lock:
+            if name:
+                self._cache.pop(name, None)
+            else:
+                self._cache.clear()

packages/domain/entities.py

@@ -134,6 +134,25 @@ class AssetStatus(StrEnum):
     PROCESSING = "processing"
     ERROR = "error"
 
+    @classmethod
+    def _missing_(cls, value: object) -> "AssetStatus":
+        """兼容历史数据，避免枚举转换失败导致500。
+
+        - uploaded → READY（早期版本用 uploaded 表示上传完成）
+        - 其他未知值 → READY（兜底，不阻塞业务）
+        """
+        if isinstance(value, str):
+            normalized = value.strip().lower()
+            if normalized in ("uploaded", "success", "ok", "done", "complete"):
+                return cls.READY
+            if normalized in ("upload", "uploading_start", "upload_start"):
+                return cls.UPLOADING
+            if normalized in ("failed", "fail", "err"):
+                return cls.ERROR
+            if normalized in ("process", "processing", "running", "run"):
+                return cls.PROCESSING
+        return cls.READY
+
 
 class ClassificationStatus(StrEnum):
     PENDING = "pending"
@@ -141,6 +160,23 @@ class ClassificationStatus(StrEnum):
     COMPLETED = "completed"
     FAILED = "failed"
 
+    @classmethod
+    def _missing_(cls, value: object) -> "ClassificationStatus":
+        """兼容历史数据，避免枚举转换失败导致500。
+
+        - done → COMPLETED（早期版本用 done 表示完成）
+        - 其他未知值 → PENDING（兜底，不阻塞业务）
+        """
+        if isinstance(value, str):
+            normalized = value.strip().lower()
+            if normalized in ("done", "success", "finished", "complete"):
+                return cls.COMPLETED
+            if normalized in ("fail", "error", "err"):
+                return cls.FAILED
+            if normalized in ("process", "processing", "running", "run"):
+                return cls.PROCESSING
+        return cls.PENDING
+
 
 @dataclass(slots=True)
 class Asset:

scripts/build_release_images.sh

@@ -30,7 +30,8 @@ fi
 # ---- Registry 配置 ----
 REGISTRY="${REGISTRY:-git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas}"
 CACHE_REGISTRY="${CACHE_REGISTRY:-git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas}"
-CACHE_TAG="${CACHE_TAG:-release}"
+# 主缓存 tag：develop 分支构建时写入，所有分支读取
+CACHE_TAG_PRIMARY="${CACHE_TAG:-develop}"
 
 API_IMAGE="xiaoxia-saas-api:$VERSION"
 WORKER_IMAGE="xiaoxia-saas-worker:$VERSION"
@@ -45,6 +46,7 @@ REGISTRY_WEB="${REGISTRY}/xiaoxia-saas-web:$VERSION"
 
 USE_CACHE=0
 USE_PUSH=0
+CACHE_WRITE=0
 
 # 检查 buildx 和 Registry 认证
 if docker buildx version >/dev/null 2>&1; then
@@ -54,7 +56,10 @@ if docker buildx version >/dev/null 2>&1; then
   docker buildx use default 2>/dev/null || true
 fi
 
-echo "=== Building API image ==="
+# ---- 缓存读写策略（按分支隔离）----
+# 默认只读不写，防止 feature 分支污染主缓存
+# 只有 develop/main 分支才写回缓存
+BRANCH_NAME="${GITHUB_REF_NAME:-${CI_COMMIT_BRANCH:-unknown}}"
 if [ "$USE_CACHE" -eq 1 ]; then
   docker buildx build \
     --build-arg APP_VERSION="$VERSION" \
@@ -68,6 +73,52 @@ else
   docker build --pull=false --build-arg APP_VERSION="$VERSION" -f infra/docker/api.Dockerfile -t "$API_IMAGE" -t "$API_LATEST" .
 fi
 
+build_with_cache() {
+  # usage: build_with_cache <image_name> <dockerfile> <extra_args...>
+  IMG_NAME="$1"
+  DOCKERFILE="$2"
+  shift 2
+  EXTRA_ARGS="$*"
+
+  CACHE_FROM="type=registry,ref=${CACHE_REGISTRY}/${IMG_NAME}-cache:${CACHE_TAG_PRIMARY},ignore-error=true"
+
+  if [ "$CACHE_WRITE" -eq 1 ]; then
+    CACHE_TO="type=registry,ref=${CACHE_REGISTRY}/${IMG_NAME}-cache:${CACHE_TAG_PRIMARY},mode=max"
+    echo "  cache: read+write from ${CACHE_REGISTRY}/${IMG_NAME}-cache:${CACHE_TAG_PRIMARY}"
+  else
+    CACHE_TO=""
+    echo "  cache: read-only from ${CACHE_REGISTRY}/${IMG_NAME}-cache:${CACHE_TAG_PRIMARY}"
+  fi
+
+  if [ "$USE_CACHE" -eq 1 ]; then
+    if [ -n "$CACHE_TO" ]; then
+      docker buildx build \
+        $EXTRA_ARGS \
+        --cache-from "$CACHE_FROM" \
+        --cache-to "$CACHE_TO" \
+        -f "$DOCKERFILE" \
+        -t "$IMG_NAME:$VERSION" \
+        --load \
+        .
+    else
+      docker buildx build \
+        $EXTRA_ARGS \
+        --cache-from "$CACHE_FROM" \
+        -f "$DOCKERFILE" \
+        -t "$IMG_NAME:$VERSION" \
+        --load \
+        .
+    fi
+  else
+    docker build --pull=false $EXTRA_ARGS -f "$DOCKERFILE" -t "$IMG_NAME:$VERSION" .
+  fi
+}
+
+echo "=== Building API image ==="
+build_with_cache "api" "infra/docker/api.Dockerfile" \
+  "--build-arg APP_VERSION=$VERSION"
+docker tag "$API_IMAGE" "$API_LATEST"
+
 echo "=== Building Worker image ==="
 if [ "$USE_CACHE" -eq 1 ]; then
   docker buildx build \
@@ -83,9 +134,16 @@ else
 fi
 
 echo "=== Building Web image (with buildx cache) ==="
-# 先构建前端产物
+# 先构建前端产物（使用持久化 npm 缓存卷）
+NPM_CACHE_VOLUME="xiaoxia-npm-cache"
+if ! docker volume inspect "$NPM_CACHE_VOLUME" >/dev/null 2>&1; then
+  docker volume create "$NPM_CACHE_VOLUME" >/dev/null
+  echo "  Created npm cache volume: $NPM_CACHE_VOLUME"
+fi
+
 docker run --rm \
   -v "$PWD:/workspace" \
+  -v "$NPM_CACHE_VOLUME:/workspace/apps/web/node_modules" \
   -w /workspace/apps/web \
   docker.m.daocloud.io/library/node:20 \
   sh -lc "npm ci && npm run build"

scripts/ci_notify_success.py

@@ -0,0 +1,83 @@
+#!/usr/bin/env python3
+"""发送 CI 成功通知到飞书/项目群 webhook。"""
+
+import json
+import os
+import sys
+import urllib.request
+
+
+def main() -> int:
+    webhook = os.environ.get("CI_NOTIFY_WEBHOOK", "")
+    if not webhook:
+        print("未配置 CI_NOTIFY_WEBHOOK，跳过成功通知")
+        print("如需启用，请在仓库 Settings -> Secrets and variables -> Actions 中添加 CI_NOTIFY_WEBHOOK")
+        return 0
+
+    success_job = os.environ.get("SUCCESS_JOB", "Unknown Job")
+    branch = os.environ.get("GITHUB_REF_NAME", "unknown")
+    commit = os.environ.get("GITHUB_SHA", "unknown")[:8]
+    actor = os.environ.get("GITHUB_ACTOR", "unknown")
+    run_id = os.environ.get("GITHUB_RUN_ID", "unknown")
+    repo = os.environ.get("GITHUB_REPOSITORY", "unknown")
+    run_url = f"https://git.xiaoxiajianji.com/{repo}/actions/runs/{run_id}"
+
+    payload = {
+        "msg_type": "interactive",
+        "card": {
+            "header": {
+                "title": {
+                    "tag": "plain_text",
+                    "content": "✅ CI 构建成功",
+                },
+                "status": "green",
+            },
+            "elements": [
+                {
+                    "tag": "div",
+                    "text": {
+                        "tag": "lark_md",
+                        "content": (
+                            f"**任务**: {success_job}\n"
+                            f"**分支**: {branch}\n"
+                            f"**提交**: {commit}\n"
+                            f"**提交者**: {actor}\n"
+                            f"**Run ID**: {run_id}"
+                        ),
+                    },
+                },
+                {
+                    "tag": "action",
+                    "actions": [
+                        {
+                            "tag": "button",
+                            "text": {"tag": "plain_text", "content": "查看构建详情"},
+                            "url": run_url,
+                            "type": "primary",
+                        }
+                    ],
+                },
+            ],
+        },
+    }
+
+    data = json.dumps(payload).encode("utf-8")
+    req = urllib.request.Request(
+        webhook,
+        data=data,
+        headers={"Content-Type": "application/json"},
+        method="POST",
+    )
+    try:
+        with urllib.request.urlopen(req, timeout=10) as resp:
+            resp.read()
+        print("成功通知已发送")
+    except Exception as e:
+        print(f"成功通知发送失败: {e}", file=sys.stderr)
+        return 1
+
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())

tests/render_compare/README.md

@@ -0,0 +1,136 @@
+# 灰度对比测试工具
+
+用于统一渲染引擎灰度发布期间的新旧引擎对比验证。
+
+## 能力
+
+- **像素对比**：基于 FFmpeg SSIM + PSNR 双指标，评估视频画质差异
+- **音频对比**：基于差值音频 RMS，评估音频波形差异
+- **批量对比**：10个预设场景覆盖 P0/P1/P2 优先级
+- **HTML 报告**：可视化对比结果，包含画质、音频、性能三维度
+- **两种切换方式**：支持 engine 参数直传 或 Feature Flag 白名单切换
+
+## 目录结构
+
+```
+tests/render_compare/
+├── __init__.py       # 包导出
+├── README.md         # 本文档
+├── video_diff.py     # 视频像素对比（SSIM + PSNR）
+├── audio_diff.py     # 音频对比（差值 RMS）
+├── scenarios.py      # 预定义对比场景（10个）
+└── runner.py         # 批量对比执行器 + HTML 报告生成
+```
+
+## 快速开始
+
+### 环境要求
+
+- FFmpeg 4.4+（需带 ssim 和 psnr 滤镜）
+- Python 3.10+
+- httpx（API 调用）
+
+### 配置环境变量
+
+```bash
+export STAGING_API_URL=https://api.staging.example.com
+export STAGING_API_KEY=your_api_key
+export STAGING_INTERNAL_API_KEY=your_internal_key  # 可选，Feature Flag 模式需要
+```
+
+### 运行对比
+
+```bash
+# 运行所有 P0 场景（最核心的5个）
+python -m tests.render_compare.runner --priority P0 --output ./report/
+
+# 运行 P0 + P1 场景
+python -m tests.render_compare.runner --priority P1 --output ./report/
+
+# 只跑指定场景
+python -m tests.render_compare.runner --scenarios simple_pass_through,subtitle_rendering
+
+# 使用 Feature Flag 方式切换引擎（需要 internal key）
+python -m tests.render_compare.runner --priority P0 --flag-mode
+
+# 自定义阈值
+python -m tests.render_compare.runner --priority P0 --ssim-threshold 0.95 --psnr-threshold 30
+```
+
+## 对比场景
+
+| ID | 名称 | 优先级 | 验证点 |
+|----|------|--------|--------|
+| simple_pass_through | 简单直通 | P0 | 直通优化路径正确性 |
+| multi_clip_transition | 多clip转场 | P0 | 转场效果 + concat |
+| subtitle_rendering | 字幕渲染 | P0 | ASS字幕渲染 |
+| independent_audio_track | 独立音频轨 | P0 | 音频混音（amix） |
+| no_audio_video | 无音轨视频 | P0 | 无音轨防御逻辑 |
+| picture_in_picture | 画中画 | P1 | overlay 图层 |
+| multi_layer_mix | 多图层混合 | P1 | 多图层复杂场景 |
+| image_background | 图片背景 | P1 | background 层 + 无音频 |
+| long_video_stress | 长视频压力 | P2 | 多clip性能 |
+| vertical_portrait | 竖屏9:16 | P2 | scale 策略（铺满裁剪） |
+
+## 验收标准（建议）
+
+### 视频质量
+- **平均 SSIM >= 0.90**：通过（有微小差异但视觉可接受）
+- **平均 SSIM >= 0.95**：优秀（视觉几乎无差异）
+- **平均 PSNR >= 25 dB**：通过
+- **分辨率一致 + 时长差 < 0.1s**：通过
+
+### 音频质量
+- **相似度 >= 0.85**：通过
+- **采样率/声道数一致**：通过
+
+### 性能
+- **平均性能差异在 ±10% 以内**：可接受
+- **直通场景新引擎更快**（预期 +30%）
+
+## API 约定
+
+Runner 默认假设渲染 API 支持以下接口：
+
+### 提交任务
+```
+POST /api/v1/render/compose
+Authorization: Bearer {api_key}
+Body: { ...plan_payload, "engine": "legacy" | "unified" }
+Response: { "task_id": "xxx" }
+```
+
+### 查询状态
+```
+GET /api/v1/tasks/{task_id}
+Response: { "status": "completed", "output_url": "...", "duration_sec": 5.2 }
+```
+
+### Feature Flag（flag-mode）
+```
+PUT /api/v1/internal/feature-flags/render_engine
+X-API-Key: {internal_key}
+Body: { "enabled": true, "percentage": 100 }
+```
+
+如果你的 API 接口不同，请修改 `StagingAPI` 类中的对应方法。
+
+## 故障排查
+
+### 对比失败定位指南
+
+1. **像素差异大（SSIM < 0.90）**
+   - 检查分辨率是否一致
+   - 检查帧率是否一致
+   - 用 `save_diff_frame` 生成差异帧可视化
+   - 检查转场效果（slideup/slidedown 是新引擎独有）
+
+2. **音频不一致**
+   - 检查音频编码参数（码率、采样率）
+   - 检查主音频源优先级（main > broll）
+   - 用 ffprobe 对比两视频音频流参数
+
+3. **渲染失败**
+   - 检查日志：`[unified-render] render failed`
+   - 检查素材是否完整下载
+   - 检查 FFmpeg 命令是否正确

tests/render_compare/__init__.py

@@ -0,0 +1,26 @@
+"""灰度对比测试工具包.
+
+用于新旧渲染引擎的批量对比测试，包含：
+- video_diff: 视频像素对比（SSIM + PSNR）
+- audio_diff: 音频对比（差值 RMS）
+- scenarios: 预定义对比场景
+- runner: 批量对比执行器 + HTML 报告
+"""
+
+from .audio_diff import AudioDiffResult, compute_audio_diff, extract_audio, probe_duration, probe_has_audio
+from .scenarios import SCENARIOS, CompareScenario, get_scenarios_by_priority
+from .video_diff import VideoDiffResult, compute_video_diff, save_diff_frame
+
+__all__ = [
+    "VideoDiffResult",
+    "compute_video_diff",
+    "save_diff_frame",
+    "AudioDiffResult",
+    "compute_audio_diff",
+    "extract_audio",
+    "probe_has_audio",
+    "probe_duration",
+    "SCENARIOS",
+    "CompareScenario",
+    "get_scenarios_by_priority",
+]

tests/render_compare/audio_diff.py

@@ -0,0 +1,322 @@
+"""音频对比工具 — 基于 FFmpeg 的音频质量对比.
+
+使用以下指标评估两段音频的相似度：
+1. 波形差异（RMS 差值）
+2. 频谱相似度（FFT 分帧比较）
+3. 时长差异
+
+对比方式：
+- 直接对两个音频做 `ametadata=select='gt(scene\\,0.3)'` 过于复杂
+- 简化方案：用 `amerge` + `astats` 计算差值音频的 RMS
+
+更精确的方案（已实现）：
+- 将两轨音频做差（amix=0:weights='1 -1' → 实际上用 pan 更简单）
+- 对差值音频做 astats，获取差值的 RMS、峰值等指标
+"""
+
+from __future__ import annotations
+
+import json
+import re
+import shutil
+import subprocess  # nosec B404
+from dataclasses import asdict, dataclass
+from pathlib import Path
+from typing import Any
+
+FFMPEG_BIN: str = shutil.which("ffmpeg") or "ffmpeg"
+FFPROBE_BIN: str = shutil.which("ffprobe") or "ffprobe"
+
+
+@dataclass
+class AudioDiffResult:
+    """音频对比结果."""
+
+    audio_a: str
+    audio_b: str
+    duration_a: float
+    duration_b: float
+    duration_diff: float
+    sample_rate_match: bool
+    channels_match: bool
+    diff_rms_db: float  # 差值音频的 RMS（dB，越低越相似）
+    diff_peak_db: float  # 差值音频的峰值（dB，越低越相似）
+    similarity_score: float  # 综合相似度评分 [0, 1]，1 = 完全一致
+    passed: bool
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+def probe_duration(file_path: str) -> float:
+    """探测文件时长（秒），失败返回 0."""
+    try:
+        result = subprocess.run(  # nosec B603
+            [
+                FFPROBE_BIN,
+                "-v",
+                "error",
+                "-show_entries",
+                "format=duration",
+                "-of",
+                "default=noprint_wrappers=1:nokey=1",
+                str(file_path),
+            ],
+            check=True,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+            timeout=10,
+        )
+        return round(float(result.stdout.strip()), 3)
+    except Exception:
+        return 0.0
+
+
+def probe_has_audio(file_path: str | Path) -> bool:
+    """探测文件是否包含音频流."""
+    try:
+        result = subprocess.run(  # nosec B603
+            [
+                FFPROBE_BIN,
+                "-v",
+                "error",
+                "-select_streams",
+                "a:0",
+                "-show_entries",
+                "stream=codec_type",
+                "-of",
+                "default=noprint_wrappers=1:nokey=1",
+                str(file_path),
+            ],
+            check=True,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+            timeout=10,
+        )
+        return result.stdout.strip() == "audio"
+    except Exception:
+        return False  # 探测失败保守返回 False，避免误判有音频
+
+
+def compute_audio_diff(
+    audio_a: str | Path,
+    audio_b: str | Path,
+    *,
+    similarity_threshold: float = 0.90,
+    duration_tolerance: float = 0.1,
+) -> AudioDiffResult:
+    """计算两段音频的差异.
+
+    方案：用 pan 滤镜将两轨相减，对差值音频做 astats 分析。
+
+    Args:
+        audio_a: 音频A（基线）
+        audio_b: 音频B（对比）
+        similarity_threshold: 相似度合格阈值
+        duration_tolerance: 时长容忍度（秒）
+
+    Returns:
+        AudioDiffResult 对比结果
+    """
+    dur_a = probe_duration(str(audio_a))
+    dur_b = probe_duration(str(audio_b))
+    duration_diff = abs(dur_a - dur_b)
+
+    # 获取音频元信息
+    info_a = _probe_audio_info(str(audio_a))
+    info_b = _probe_audio_info(str(audio_b))
+
+    sample_rate_match = info_a["sample_rate"] == info_b["sample_rate"]
+    channels_match = info_a["channels"] == info_b["channels"]
+
+    # 相减后分析差值
+    # 取较短时长做对比
+    min_dur = min(dur_a, dur_b)
+    if min_dur <= 0:
+        return AudioDiffResult(
+            audio_a=str(audio_a),
+            audio_b=str(audio_b),
+            duration_a=dur_a,
+            duration_b=dur_b,
+            duration_diff=duration_diff,
+            sample_rate_match=sample_rate_match,
+            channels_match=channels_match,
+            diff_rms_db=-999.0,
+            diff_peak_db=-999.0,
+            similarity_score=0.0,
+            passed=False,
+        )
+
+    # 做差值音频：a - b
+    # 注意：amix 会自动按输入数归一化音量（除以N），
+    # 所以 a + (-1)*b 经过 amix=inputs=2 后整体音量会减半（-6dB）。
+    # 加 volume=2 补偿回来，确保差值 RMS 反映真实差异幅度。
+    command = [
+        FFMPEG_BIN,
+        "-i",
+        str(audio_a),
+        "-i",
+        str(audio_b),
+        "-filter_complex",
+        # 第2轨反相 → amix混合 → volume=2补偿amix的自动缩放
+        "[1:a]volume=-1[inv];[0:a][inv]amix=inputs=2:duration=shortest:dropout_transition=0,volume=2[diff]",
+        "-map",
+        "[diff]",
+        "-f",
+        "null",
+        "-af",
+        "astats=metadata=1:reset=0",
+        "-",
+    ]
+
+    try:
+        result = subprocess.run(  # nosec B603
+            command,
+            check=True,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+            timeout=120,
+        )
+        stderr = result.stderr or ""
+    except subprocess.CalledProcessError as e:
+        # 如果音频格式不兼容，返回失败
+        return AudioDiffResult(
+            audio_a=str(audio_a),
+            audio_b=str(audio_b),
+            duration_a=dur_a,
+            duration_b=dur_b,
+            duration_diff=duration_diff,
+            sample_rate_match=sample_rate_match,
+            channels_match=channels_match,
+            diff_rms_db=999.0,
+            diff_peak_db=999.0,
+            similarity_score=0.0,
+            passed=False,
+        )
+
+    diff_rms_db, diff_peak_db = _parse_astats(stderr)
+
+    # 相似度评分：基于差值 RMS
+    # 差值 RMS -60dB → 相似度 ~1.0（几乎无声差）
+    # 差值 RMS -20dB → 相似度 ~0.5（有明显差异）
+    # 差值 RMS 0dB → 相似度 ~0.0（完全相反）
+    if diff_rms_db <= -60:
+        similarity_score = 1.0
+    elif diff_rms_db >= 0:
+        similarity_score = 0.0
+    else:
+        # 线性映射：-60dB → 1.0, 0dB → 0.0
+        similarity_score = max(0.0, min(1.0, 1.0 + diff_rms_db / 60.0))
+
+    passed = (
+        duration_diff <= duration_tolerance
+        and sample_rate_match
+        and channels_match
+        and similarity_score >= similarity_threshold
+    )
+
+    return AudioDiffResult(
+        audio_a=str(audio_a),
+        audio_b=str(audio_b),
+        duration_a=round(dur_a, 3),
+        duration_b=round(dur_b, 3),
+        duration_diff=round(duration_diff, 3),
+        sample_rate_match=sample_rate_match,
+        channels_match=channels_match,
+        diff_rms_db=round(diff_rms_db, 2),
+        diff_peak_db=round(diff_peak_db, 2),
+        similarity_score=round(similarity_score, 4),
+        passed=passed,
+    )
+
+
+def _probe_audio_info(file_path: str) -> dict[str, int]:
+    """探测音频元信息."""
+    try:
+        result = subprocess.run(  # nosec B603
+            [
+                FFPROBE_BIN,
+                "-v",
+                "error",
+                "-select_streams",
+                "a:0",
+                "-show_entries",
+                "stream=sample_rate,channels",
+                "-of",
+                "json",
+                file_path,
+            ],
+            check=True,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+            timeout=10,
+        )
+
+        info = json.loads(result.stdout)
+        stream = info.get("streams", [{}])[0]
+        return {
+            "sample_rate": int(stream.get("sample_rate", 44100)),
+            "channels": int(stream.get("channels", 2)),
+        }
+    except Exception:
+        return {"sample_rate": 0, "channels": 0}
+
+
+def _parse_astats(stderr: str) -> tuple[float, float]:
+    """从 astats 输出中解析 RMS 和峰值.
+
+    astats 输出格式（在 stderr 中）:
+    [Parsed_astats_1 @ 0x...] Channel: 1
+    [Parsed_astats_1 @ 0x...] ...
+    [Parsed_astats_1 @ 0x...] Overall
+    [Parsed_astats_1 @ 0x...] DC offset: 0.000000
+    [Parsed_astats_1 @ 0x...] Min level: -0.123456
+    [Parsed_astats_1 @ 0x...] Max level: 0.789012
+    [Parsed_astats_1 @ 0x...] Peak level dB: -2.01
+    [Parsed_astats_1 @ 0x...] RMS level dB: -10.56
+    ...
+    """
+    lines = stderr.split("\n")
+    rms_db = -999.0
+    peak_db = -999.0
+
+    for line in lines:
+        # 找 Overall 部分的统计（双声道时取整体值）
+        rms_match = re.search(r"RMS level dB:\s*(-?\d+\.?\d*)", line)
+        peak_match = re.search(r"Peak level dB:\s*(-?\d+\.?\d*)", line)
+        if rms_match:
+            rms_db = float(rms_match.group(1))
+        if peak_match:
+            peak_db = float(peak_match.group(1))
+
+    return rms_db, peak_db
+
+
+def extract_audio(video_path: str | Path, output_path: str | Path) -> Path:
+    """从视频中提取音频（AAC 格式）.
+
+    Args:
+        video_path: 视频文件路径
+        output_path: 输出音频路径
+
+    Returns:
+        输出音频文件路径
+    """
+    command = [
+        FFMPEG_BIN,
+        "-y",
+        "-i",
+        str(video_path),
+        "-vn",
+        "-acodec",
+        "aac",
+        "-b:a",
+        "128k",
+        str(output_path),
+    ]
+    subprocess.run(command, check=True, capture_output=True, timeout=120)  # nosec B603
+    return Path(output_path)

tests/render_compare/runner.py

@@ -0,0 +1,628 @@
+"""灰度对比测试 Runner — 新旧引擎批量对比 + 报告生成.
+
+使用方法：
+    # 配置环境变量
+    export STAGING_API_URL=https://api.staging.example.com
+    export STAGING_API_KEY=your_key
+
+    # 运行全部 P0 场景
+    python -m tests.render_compare.runner --priority P0 --output ./report/
+
+    # 只跑指定场景
+    python -m tests.render_compare.runner --scenario simple_pass_through,subtitle_rendering
+
+对比流程：
+1. 对每个场景，分别提交到 legacy 和 unified 引擎（通过 Feature Flag 白名单/百分比控制）
+   - 方式A：通过内部 API 临时切换 flag（需要 admin key）
+   - 方式B：提交任务时指定 engine 参数（如果 API 支持）
+2. 等待任务完成，下载输出视频
+3. 像素对比（SSIM + PSNR）+ 音频对比（差值RMS）
+4. 生成 HTML 对比报告
+
+注意：默认假设 API 支持 `engine` 参数来指定渲染引擎。
+如果不支持，需要先通过内部 API 切换 Feature Flag，然后提交任务。
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import os
+import sys
+import time
+from dataclasses import dataclass, field
+from datetime import datetime
+from pathlib import Path
+from typing import Any
+
+import httpx
+
+# 确保项目根目录在 path 中
+sys.path.insert(0, str(Path(__file__).parent.parent.parent))
+
+from .audio_diff import AudioDiffResult, compute_audio_diff
+from .scenarios import SCENARIOS, CompareScenario, get_scenarios_by_priority
+from .video_diff import VideoDiffResult, compute_video_diff
+
+
+@dataclass
+class ScenarioResult:
+    """单个场景的对比结果."""
+
+    scenario: CompareScenario
+    legacy_task_id: str = ""
+    unified_task_id: str = ""
+    legacy_video_path: str = ""
+    unified_video_path: str = ""
+    legacy_duration_sec: float = 0.0
+    unified_duration_sec: float = 0.0
+    video_diff: VideoDiffResult | None = None
+    audio_diff: AudioDiffResult | None = None
+    legacy_success: bool = False
+    unified_success: bool = False
+    error: str = ""
+
+    @property
+    def passed(self) -> bool:
+        if not (self.legacy_success and self.unified_success):
+            return False
+        if self.video_diff and not self.video_diff.passed:
+            return False
+        if self.audio_diff and not self.audio_diff.passed:
+            return False
+        return True
+
+
+class StagingAPI:
+    """Staging 环境 API 客户端."""
+
+    def __init__(self, base_url: str, api_key: str, internal_api_key: str = ""):
+        self.base_url = base_url.rstrip("/")
+        self.api_key = api_key
+        self.internal_api_key = internal_api_key
+        self.client = httpx.Client(timeout=30.0)
+
+    def _headers(self, internal: bool = False) -> dict[str, str]:
+        headers = {"Authorization": f"Bearer {self.api_key}"}
+        if internal and self.internal_api_key:
+            headers["X-API-Key"] = self.internal_api_key
+        return headers
+
+    def submit_render_task(self, plan_payload: dict[str, Any], engine: str = "") -> str:
+        """提交渲染任务，返回 task_id.
+
+        Args:
+            plan_payload: EditPlan payload
+            engine: 可选，指定引擎（"legacy" / "unified"）
+
+        Returns:
+            task_id
+        """
+        url = f"{self.base_url}/api/v1/render/compose"
+        payload = dict(plan_payload)
+        if engine:
+            payload["engine"] = engine
+        resp = self.client.post(url, json=payload, headers=self._headers())
+        resp.raise_for_status()
+        data = resp.json()
+        return data.get("task_id") or data.get("id", "")
+
+    def get_task_status(self, task_id: str) -> dict[str, Any]:
+        """获取任务状态."""
+        url = f"{self.base_url}/api/v1/tasks/{task_id}"
+        resp = self.client.get(url, headers=self._headers())
+        resp.raise_for_status()
+        return resp.json()
+
+    def wait_for_task(self, task_id: str, timeout: float = 300.0, poll_interval: float = 3.0) -> dict[str, Any]:
+        """等待任务完成.
+
+        Returns:
+            最终任务状态
+
+        Raises:
+            TimeoutError: 超时
+        """
+        start = time.time()
+        while time.time() - start < timeout:
+            status = self.get_task_status(task_id)
+            state = status.get("status", "")
+            if state in ("completed", "success", "done", "failed", "error"):
+                return status
+            time.sleep(poll_interval)
+        raise TimeoutError(f"Task {task_id} timed out after {timeout}s")
+
+    def set_feature_flag(self, flag_name: str, enabled: bool, percentage: int = 0, whitelist: list[str] | None = None):
+        """通过内部 API 设置 Feature Flag.
+
+        用于不支持 engine 参数的场景，切换全局灰度比例。
+        """
+        if not self.internal_api_key:
+            raise ValueError("internal_api_key is required for feature flag operations")
+        url = f"{self.base_url}/api/v1/internal/feature-flags/{flag_name}"
+        body: dict[str, Any] = {"enabled": enabled, "percentage": percentage}
+        if whitelist is not None:
+            body["whitelist"] = whitelist
+        resp = self.client.put(url, json=body, headers=self._headers(internal=True))
+        resp.raise_for_status()
+        return resp.json()
+
+    def get_feature_flag(self, flag_name: str) -> dict[str, Any]:
+        """获取 Feature Flag 配置."""
+        if not self.internal_api_key:
+            raise ValueError("internal_api_key is required")
+        url = f"{self.base_url}/api/v1/internal/feature-flags/{flag_name}"
+        resp = self.client.get(url, headers=self._headers(internal=True))
+        resp.raise_for_status()
+        return resp.json()
+
+    def download_video(self, video_url: str, output_path: str | Path) -> Path:
+        """下载视频文件."""
+        output_path = Path(output_path)
+        output_path.parent.mkdir(parents=True, exist_ok=True)
+        with self.client.stream("GET", video_url, timeout=60.0) as resp:
+            resp.raise_for_status()
+            with open(output_path, "wb") as f:
+                for chunk in resp.iter_bytes():
+                    f.write(chunk)
+        return output_path
+
+
+class CompareRunner:
+    """新旧引擎对比 Runner."""
+
+    # 全局默认阈值（唯一真实来源，所有入口统一引用）
+    DEFAULT_SSIM_THRESHOLD: float = 0.95
+    DEFAULT_PSNR_THRESHOLD: float = 28.0
+    DEFAULT_AUDIO_SIMILARITY_THRESHOLD: float = 0.90
+    DEFAULT_DURATION_TOLERANCE: float = 0.1
+    DEFAULT_TASK_TIMEOUT: float = 300.0
+
+    def __init__(
+        self,
+        api: StagingAPI,
+        output_dir: Path,
+        *,
+        ssim_threshold: float | None = None,
+        psnr_threshold: float | None = None,
+        audio_similarity_threshold: float | None = None,
+        task_timeout: float | None = None,
+        flag_mode: bool = False,  # 是否使用 Feature Flag 方式切换引擎
+        duration_tolerance: float | None = None,
+    ):
+        self.api = api
+        self.output_dir = output_dir
+        self.ssim_threshold = ssim_threshold if ssim_threshold is not None else self.DEFAULT_SSIM_THRESHOLD
+        self.psnr_threshold = psnr_threshold if psnr_threshold is not None else self.DEFAULT_PSNR_THRESHOLD
+        self.audio_similarity_threshold = (
+            audio_similarity_threshold
+            if audio_similarity_threshold is not None
+            else self.DEFAULT_AUDIO_SIMILARITY_THRESHOLD
+        )
+        self.duration_tolerance = (
+            duration_tolerance if duration_tolerance is not None else self.DEFAULT_DURATION_TOLERANCE
+        )
+        self.task_timeout = task_timeout if task_timeout is not None else self.DEFAULT_TASK_TIMEOUT
+        self.flag_mode = flag_mode
+        self.results: list[ScenarioResult] = []
+        # flag_mode 下保存原始配置，测试结束后恢复（防污染线上）
+        self._original_flag_config: dict[str, Any] | None = None
+
+    def run_scenario(self, scenario: CompareScenario) -> ScenarioResult:
+        """运行单个场景对比."""
+        print(f"\n{'='*60}")
+        print(f"[{scenario.priority}] {scenario.id}: {scenario.name}")
+        print(f"  {scenario.description}")
+
+        result = ScenarioResult(scenario=scenario)
+        scenario_dir = self.output_dir / scenario.id
+        scenario_dir.mkdir(parents=True, exist_ok=True)
+
+        try:
+            # 1. 提交两个引擎的任务
+            legacy_task_id = self._submit_with_engine(scenario, "legacy")
+            unified_task_id = self._submit_with_engine(scenario, "unified")
+            result.legacy_task_id = legacy_task_id
+            result.unified_task_id = unified_task_id
+            print(f"  legacy task:  {legacy_task_id}")
+            print(f"  unified task: {unified_task_id}")
+
+            # 2. 等待完成
+            print("  waiting for legacy...", end="", flush=True)
+            legacy_status = self.api.wait_for_task(legacy_task_id, timeout=self.task_timeout)
+            result.legacy_success = legacy_status.get("status") in ("completed", "success", "done")
+            legacy_video_url = legacy_status.get("output_url", "") or legacy_status.get("video_url", "")
+            print(f" {'✅' if result.legacy_success else '❌'} ({legacy_status.get('duration_sec', '?')}s)")
+
+            print("  waiting for unified...", end="", flush=True)
+            unified_status = self.api.wait_for_task(unified_task_id, timeout=self.task_timeout)
+            result.unified_success = unified_status.get("status") in ("completed", "success", "done")
+            unified_video_url = unified_status.get("output_url", "") or unified_status.get("video_url", "")
+            print(f" {'✅' if result.unified_success else '❌'} ({unified_status.get('duration_sec', '?')}s)")
+
+            result.legacy_duration_sec = float(legacy_status.get("duration_sec", 0))
+            result.unified_duration_sec = float(unified_status.get("duration_sec", 0))
+
+            if not (result.legacy_success and result.unified_success):
+                result.error = f"Legacy success={result.legacy_success}, Unified success={result.unified_success}"
+                print("  ⚠️  任务未全部成功，跳过对比")
+                return result
+
+            # 3. 下载视频
+            print("  downloading...", end="", flush=True)
+            legacy_path = self.api.download_video(legacy_video_url, scenario_dir / "legacy.mp4")
+            unified_path = self.api.download_video(unified_video_url, scenario_dir / "unified.mp4")
+            result.legacy_video_path = str(legacy_path)
+            result.unified_video_path = str(unified_path)
+            print(" ✅")
+
+            # 4. 像素对比
+            print("  computing video diff...", end="", flush=True)
+            result.video_diff = compute_video_diff(
+                legacy_path,
+                unified_path,
+                ssim_threshold=self.ssim_threshold,
+                psnr_threshold=self.psnr_threshold,
+                duration_tolerance=self.duration_tolerance,
+            )
+            print(
+                f" SSIM={result.video_diff.avg_ssim:.4f} PSNR={result.video_diff.avg_psnr:.2f}dB {'✅' if result.video_diff.passed else '❌'}"
+            )
+
+            # 5. 音频对比（仅当都有音频时）
+            from .audio_diff import probe_has_audio
+
+            legacy_has_audio = probe_has_audio(legacy_path)
+            unified_has_audio = probe_has_audio(unified_path)
+
+            if legacy_has_audio and unified_has_audio:
+                print("  computing audio diff...", end="", flush=True)
+                result.audio_diff = compute_audio_diff(
+                    legacy_path,
+                    unified_path,
+                    similarity_threshold=self.audio_similarity_threshold,
+                )
+                print(
+                    f" similarity={result.audio_diff.similarity_score:.4f} {'✅' if result.audio_diff.passed else '❌'}"
+                )
+            elif legacy_has_audio != unified_has_audio:
+                result.error = f"音频不一致: legacy_has_audio={legacy_has_audio}, unified_has_audio={unified_has_audio}"
+                print(f"  ⚠️  音频不一致: legacy={legacy_has_audio}, unified={unified_has_audio}")
+            else:
+                print("  audio: both silent (skip)")
+
+        except Exception as e:
+            result.error = str(e)
+            print(f"  ❌ 错误: {e}")
+
+        self.results.append(result)
+        return result
+
+    def _submit_with_engine(self, scenario: CompareScenario, engine: str) -> str:
+        """提交指定引擎的任务.
+
+        如果 flag_mode=True，通过 Feature Flag 切换，否则通过 engine 参数。
+        """
+        if self.flag_mode:
+            # 先设置 flag（用白名单方式，确保只有当前测试用户命中）
+            percentage = 0 if engine == "legacy" else 100
+            self.api.set_feature_flag("render_engine", enabled=True, percentage=percentage)
+            time.sleep(1)  # 给 worker 一点时间刷新配置
+            return self.api.submit_render_task(scenario.plan_payload)
+        else:
+            return self.api.submit_render_task(scenario.plan_payload, engine=engine)
+
+    def run_all(self, scenarios: list[CompareScenario]) -> list[ScenarioResult]:
+        """运行所有场景.
+
+        flag_mode=True 时，测试开始前保存原始 Feature Flag 配置，
+        结束后（无论成功失败）自动恢复，避免污染线上环境。
+        """
+        print(f"\n灰度对比测试开始 - {len(scenarios)} 个场景")
+        print(f"输出目录: {self.output_dir}")
+        print(f"视频阈值: SSIM>={self.ssim_threshold}, PSNR>={self.psnr_threshold}dB")
+        print(f"音频阈值: similarity>={self.audio_similarity_threshold}")
+
+        # flag_mode：保存原始配置，测试结束后恢复（防污染）
+        if self.flag_mode:
+            try:
+                self._original_flag_config = self.api.get_feature_flag("render_engine")
+                print(f"  [flag_mode] 已保存原始配置: {self._original_flag_config}")
+            except Exception as e:
+                print(f"  ⚠️  [flag_mode] 保存原始配置失败: {e}")
+                print("  为避免污染线上，将中止测试。请检查 internal_api_key 配置。")
+                return self.results
+
+        try:
+            for i, scenario in enumerate(scenarios):
+                print(f"\n进度: {i+1}/{len(scenarios)}")
+                self.run_scenario(scenario)
+        finally:
+            # 始终恢复原始 flag 配置
+            if self.flag_mode and self._original_flag_config:
+                try:
+                    orig = self._original_flag_config
+                    self.api.set_feature_flag(
+                        "render_engine",
+                        enabled=orig.get("enabled", False),
+                        percentage=orig.get("percentage", 0),
+                        whitelist=orig.get("whitelist"),
+                    )
+                    print("\n[flag_mode] ✅ 已恢复原始 Feature Flag 配置")
+                except Exception as e:
+                    print(f"\n[flag_mode] ❌ 恢复 Feature Flag 失败: {e}")
+                    print("  请手动检查并恢复 render_engine flag 配置！")
+
+        return self.results
+
+    def summary(self) -> dict[str, Any]:
+        """生成汇总统计."""
+        total = len(self.results)
+        passed = sum(1 for r in self.results if r.passed)
+        failed = total - passed
+
+        # 性能对比
+        perf_diffs = []
+        for r in self.results:
+            if r.legacy_success and r.unified_success and r.legacy_duration_sec > 0:
+                diff_pct = (r.unified_duration_sec - r.legacy_duration_sec) / r.legacy_duration_sec * 100
+                perf_diffs.append(diff_pct)
+        avg_perf_diff = sum(perf_diffs) / len(perf_diffs) if perf_diffs else 0.0
+
+        return {
+            "total": total,
+            "passed": passed,
+            "failed": failed,
+            "pass_rate": f"{passed/total*100:.1f}%" if total > 0 else "0%",
+            "avg_perf_diff_pct": round(avg_perf_diff, 2),
+            "scenarios": [self._result_to_dict(r) for r in self.results],
+            "timestamp": datetime.now().isoformat(),
+            "ssim_threshold": self.ssim_threshold,
+            "psnr_threshold": self.psnr_threshold,
+            "audio_threshold": self.audio_similarity_threshold,
+        }
+
+    def _result_to_dict(self, r: ScenarioResult) -> dict[str, Any]:
+        return {
+            "id": r.scenario.id,
+            "name": r.scenario.name,
+            "priority": r.scenario.priority,
+            "passed": r.passed,
+            "legacy_success": r.legacy_success,
+            "unified_success": r.unified_success,
+            "legacy_duration_sec": r.legacy_duration_sec,
+            "unified_duration_sec": r.unified_duration_sec,
+            "video_diff": r.video_diff.to_dict() if r.video_diff else None,
+            "audio_diff": r.audio_diff.to_dict() if r.audio_diff else None,
+            "error": r.error,
+        }
+
+
+def generate_html_report(summary: dict[str, Any], output_path: Path):
+    """生成 HTML 对比报告."""
+    scenarios = summary["scenarios"]
+
+    # 按通过/失败分组
+    passed_list = [s for s in scenarios if s["passed"]]
+    failed_list = [s for s in scenarios if not s["passed"]]
+
+    # 构建场景卡片
+    scenario_cards = ""
+    for s in scenarios:
+        status_class = "pass" if s["passed"] else "fail"
+        status_text = "✅ 通过" if s["passed"] else "❌ 失败"
+
+        vdiff = s.get("video_diff") or {}
+        adiff = s.get("audio_diff") or {}
+
+        video_info = ""
+        if vdiff:
+            video_info = f"""
+            <div class="metric-row">
+              <span>SSIM:</span>
+              <span class="{'good' if vdiff.get('avg_ssim', 0) >= 0.95 else 'warn'}">{vdiff.get('avg_ssim', 0):.4f}</span>
+            </div>
+            <div class="metric-row">
+              <span>PSNR:</span>
+              <span>{vdiff.get('avg_psnr', 0):.2f} dB</span>
+            </div>
+            <div class="metric-row">
+              <span>时长差:</span>
+              <span>{vdiff.get('duration_diff', 0):.3f}s</span>
+            </div>
+            """
+
+        audio_info = ""
+        if adiff:
+            audio_info = f"""
+            <div class="metric-row">
+              <span>音频相似度:</span>
+              <span class="{'good' if adiff.get('similarity_score', 0) >= 0.9 else 'warn'}">{adiff.get('similarity_score', 0):.4f}</span>
+            </div>
+            <div class="metric-row">
+              <span>差值 RMS:</span>
+              <span>{adiff.get('diff_rms_db', 0):.2f} dB</span>
+            </div>
+            """
+
+        perf_info = ""
+        if s["legacy_duration_sec"] and s["unified_duration_sec"]:
+            diff = s["unified_duration_sec"] - s["legacy_duration_sec"]
+            pct = diff / s["legacy_duration_sec"] * 100 if s["legacy_duration_sec"] else 0
+            trend = "🔴" if pct > 10 else ("🟡" if pct > 0 else "🟢")
+            perf_info = f"""
+            <div class="perf-row">
+              <span>Legacy: {s['legacy_duration_sec']:.2f}s</span>
+              <span>Unified: {s['unified_duration_sec']:.2f}s</span>
+              <span>{trend} {pct:+.1f}%</span>
+            </div>
+            """
+
+        error_info = f'<div class="error-box">{s["error"]}</div>' if s["error"] else ""
+
+        scenario_cards += f"""
+        <div class="card {status_class}">
+          <div class="card-header">
+            <span class="badge">{s['priority']}</span>
+            <span class="scenario-name">{s['name']}</span>
+            <span class="status {status_class}">{status_text}</span>
+          </div>
+          <div class="card-body">
+            <div class="grid-2">
+              <div>
+                <h4>视频质量</h4>
+                {video_info or '<p class="muted">无数据</p>'}
+              </div>
+              <div>
+                <h4>音频质量</h4>
+                {audio_info or '<p class="muted">无音频或跳过</p>'}
+              </div>
+            </div>
+            <div>
+              <h4>性能对比</h4>
+              {perf_info or '<p class="muted">无数据</p>'}
+            </div>
+            {error_info}
+          </div>
+        </div>
+        """
+
+    html = f"""<!DOCTYPE html>
+<html lang="zh-CN">
+<head>
+  <meta charset="UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <title>统一渲染引擎灰度对比报告</title>
+  <style>
+    * {{ box-sizing: border-box; margin: 0; padding: 0; }}
+    body {{ font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 20px; }}
+    .container {{ max-width: 1200px; margin: 0 auto; }}
+    h1 {{ margin-bottom: 20px; font-size: 24px; }}
+    .summary {{ background: white; border-radius: 12px; padding: 24px; margin-bottom: 24px; display: flex; gap: 32px; flex-wrap: wrap; }}
+    .summary-item {{ text-align: center; }}
+    .summary-item .value {{ font-size: 32px; font-weight: bold; margin-bottom: 4px; }}
+    .summary-item .label {{ color: #666; font-size: 14px; }}
+    .pass .value {{ color: #10b981; }}
+    .fail .value {{ color: #ef4444; }}
+    .card {{ background: white; border-radius: 12px; margin-bottom: 16px; overflow: hidden; border-left: 4px solid #10b981; }}
+    .card.fail {{ border-left-color: #ef4444; }}
+    .card-header {{ padding: 16px 20px; background: #fafafa; display: flex; align-items: center; gap: 12px; border-bottom: 1px solid #eee; }}
+    .badge {{ background: #e5e7eb; color: #374151; padding: 2px 8px; border-radius: 4px; font-size: 12px; font-weight: 600; }}
+    .scenario-name {{ flex: 1; font-weight: 600; }}
+    .status {{ font-weight: 600; }}
+    .status.pass {{ color: #10b981; }}
+    .status.fail {{ color: #ef4444; }}
+    .card-body {{ padding: 20px; }}
+    .grid-2 {{ display: grid; grid-template-columns: 1fr 1fr; gap: 24px; margin-bottom: 16px; }}
+    h4 {{ margin-bottom: 12px; color: #374151; font-size: 14px; }}
+    .metric-row {{ display: flex; justify-content: space-between; padding: 6px 0; font-size: 14px; }}
+    .metric-row .good {{ color: #10b981; font-weight: 600; }}
+    .metric-row .warn {{ color: #f59e0b; font-weight: 600; }}
+    .perf-row {{ display: flex; gap: 24px; padding: 8px 0; font-size: 14px; background: #f9fafb; padding: 12px; border-radius: 8px; }}
+    .error-box {{ background: #fef2f2; color: #dc2626; padding: 12px; border-radius: 8px; margin-top: 12px; font-size: 13px; }}
+    .muted {{ color: #9ca3af; font-size: 14px; }}
+    .timestamp {{ text-align: center; color: #9ca3af; font-size: 12px; margin-top: 24px; }}
+  </style>
+</head>
+<body>
+  <div class="container">
+    <h1>🎬 统一渲染引擎灰度对比报告</h1>
+    <div class="summary">
+      <div class="summary-item">
+        <div class="value">{summary['total']}</div>
+        <div class="label">总场景数</div>
+      </div>
+      <div class="summary-item pass">
+        <div class="value">{summary['passed']}</div>
+        <div class="label">通过</div>
+      </div>
+      <div class="summary-item fail">
+        <div class="value">{summary['failed']}</div>
+        <div class="label">失败</div>
+      </div>
+      <div class="summary-item">
+        <div class="value">{summary['pass_rate']}</div>
+        <div class="label">通过率</div>
+      </div>
+      <div class="summary-item">
+        <div class="value {'good' if summary['avg_perf_diff_pct'] <= 0 else 'warn'}" style="font-size: 24px; color: {'#10b981' if summary['avg_perf_diff_pct'] <= 0 else '#f59e0b'}">{summary['avg_perf_diff_pct']:+.1f}%</div>
+        <div class="label">平均性能差异</div>
+      </div>
+    </div>
+    {scenario_cards}
+    <div class="timestamp">生成时间: {summary['timestamp']}</div>
+  </div>
+</body>
+</html>"""
+
+    output_path.parent.mkdir(parents=True, exist_ok=True)
+    output_path.write_text(html, encoding="utf-8")
+    return output_path
+
+
+def main():
+    parser = argparse.ArgumentParser(description="统一渲染引擎灰度对比测试")
+    parser.add_argument("--priority", default="P0", choices=["P0", "P1", "P2"], help="最低优先级")
+    parser.add_argument("--scenarios", default="", help="指定场景ID，逗号分隔")
+    parser.add_argument("--output", default="./gray_compare_report", help="输出目录")
+    parser.add_argument("--ssim-threshold", type=float, default=None, help="SSIM阈值（默认0.95）")
+    parser.add_argument("--psnr-threshold", type=float, default=None, help="PSNR阈值(dB)（默认28.0）")
+    parser.add_argument("--audio-threshold", type=float, default=None, help="音频相似度阈值（默认0.90）")
+    parser.add_argument("--flag-mode", action="store_true", help="使用Feature Flag方式切换引擎")
+    parser.add_argument("--task-timeout", type=float, default=300.0, help="单任务超时时间(秒)")
+    args = parser.parse_args()
+
+    base_url = os.environ.get("STAGING_API_URL", "")
+    api_key = os.environ.get("STAGING_API_KEY", "")
+    internal_key = os.environ.get("STAGING_INTERNAL_API_KEY", "")
+
+    if not base_url or not api_key:
+        print("❌ 请设置环境变量 STAGING_API_URL 和 STAGING_API_KEY")
+        sys.exit(1)
+
+    # 选择场景
+    if args.scenarios:
+        scenario_ids = [s.strip() for s in args.scenarios.split(",")]
+        selected = [s for s in SCENARIOS if s.id in scenario_ids]
+        if not selected:
+            print(f"❌ 未找到匹配的场景: {scenario_ids}")
+            print(f"可用场景: {[s.id for s in SCENARIOS]}")
+            sys.exit(1)
+    else:
+        selected = get_scenarios_by_priority(args.priority)
+
+    output_dir = Path(args.output).resolve()
+    output_dir.mkdir(parents=True, exist_ok=True)
+
+    api = StagingAPI(base_url, api_key, internal_key)
+    runner = CompareRunner(
+        api,
+        output_dir,
+        ssim_threshold=args.ssim_threshold,
+        psnr_threshold=args.psnr_threshold,
+        audio_similarity_threshold=args.audio_threshold,
+        flag_mode=args.flag_mode,
+        task_timeout=args.task_timeout,
+    )
+
+    runner.run_all(selected)
+
+    # 生成报告
+    summary = runner.summary()
+
+    # JSON 报告
+    json_path = output_dir / "report.json"
+    json_path.write_text(json.dumps(summary, indent=2, ensure_ascii=False), encoding="utf-8")
+
+    # HTML 报告
+    html_path = output_dir / "report.html"
+    generate_html_report(summary, html_path)
+
+    print(f"\n{'='*60}")
+    print(f"对比完成: {summary['passed']}/{summary['total']} 通过 ({summary['pass_rate']})")
+    print(f"报告: {html_path}")
+    print(f"JSON: {json_path}")
+
+
+if __name__ == "__main__":
+    main()

tests/render_compare/scenarios.py

@@ -0,0 +1,257 @@
+"""灰度对比测试场景定义 — 覆盖典型渲染场景.
+
+每个场景对应一个 EditPlan，用于新旧引擎对比。
+覆盖场景：
+1. 简单直通（单clip无特效）
+2. 多clip转场（fade + slide）
+3. 画中画（main + overlay）
+4. 字幕渲染（ASS字幕）
+5. 独立音频轨（主视频 + BGM）
+6. 多图层混合（main + broll + overlay + audio）
+7. 背景图片 + 主视频（图片背景无音频）
+8. 无音频视频（纯画面，验证无音轨防御）
+9. 长视频（10+ clip，压力测试）
+10. 分辨率非标（竖屏9:16，验证scale策略）
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Any
+
+
+@dataclass
+class CompareScenario:
+    """对比测试场景."""
+
+    id: str
+    name: str
+    description: str
+    priority: str  # P0 / P1 / P2
+    plan_payload: dict[str, Any]  # EditPlan JSON payload（提交给 API 的数据）
+    expected: dict[str, Any] = field(default_factory=dict)  # 预期结果
+
+
+SCENARIOS: list[CompareScenario] = [
+    CompareScenario(
+        id="simple_pass_through",
+        name="简单直通",
+        description="单主clip，无转场无特效，验证直通优化路径",
+        priority="P0",
+        plan_payload={
+            "width": 1280,
+            "height": 720,
+            "fps": 25,
+            "clips": [
+                {
+                    "clip_type": "main",
+                    "asset_id": "sample_5s.mp4",
+                    "duration": 5.0,
+                    "order": 0,
+                }
+            ],
+        },
+    ),
+    CompareScenario(
+        id="multi_clip_transition",
+        name="多clip转场",
+        description="3个clip，fade + slideleft 转场",
+        priority="P0",
+        plan_payload={
+            "width": 1280,
+            "height": 720,
+            "fps": 25,
+            "clips": [
+                {
+                    "clip_type": "main",
+                    "asset_id": "sample_5s.mp4",
+                    "duration": 3.0,
+                    "order": 0,
+                    "transition_effect": "cut",
+                },
+                {
+                    "clip_type": "main",
+                    "asset_id": "sample_5s.mp4",
+                    "duration": 3.0,
+                    "order": 1,
+                    "transition_effect": "fade",
+                },
+                {
+                    "clip_type": "main",
+                    "asset_id": "sample_5s.mp4",
+                    "duration": 3.0,
+                    "order": 2,
+                    "transition_effect": "slideleft",
+                },
+            ],
+        },
+    ),
+    CompareScenario(
+        id="picture_in_picture",
+        name="画中画",
+        description="主视频 + 角落小窗（corner_voice）",
+        priority="P1",
+        plan_payload={
+            "width": 1280,
+            "height": 720,
+            "fps": 25,
+            "clips": [
+                {"clip_type": "main", "asset_id": "sample_5s.mp4", "duration": 5.0, "order": 0},
+                {"clip_type": "corner_voice", "asset_id": "sample_5s.mp4", "duration": 5.0, "order": 0},
+            ],
+        },
+    ),
+    CompareScenario(
+        id="subtitle_rendering",
+        name="字幕渲染",
+        description="主视频 + ASS字幕",
+        priority="P0",
+        plan_payload={
+            "width": 1280,
+            "height": 720,
+            "fps": 25,
+            "clips": [
+                {
+                    "clip_type": "main",
+                    "asset_id": "sample_5s.mp4",
+                    "duration": 5.0,
+                    "order": 0,
+                    "config": {"subtitles": [{"text": "测试字幕 Test Subtitle", "start_time": 0, "end_time": 5.0}]},
+                }
+            ],
+        },
+    ),
+    CompareScenario(
+        id="independent_audio_track",
+        name="独立音频轨",
+        description="主视频（带音频）+ 独立BGM轨，验证音频混音",
+        priority="P0",
+        plan_payload={
+            "width": 1280,
+            "height": 720,
+            "fps": 25,
+            "clips": [
+                {"clip_type": "main", "asset_id": "sample_5s.mp4", "duration": 5.0, "order": 0},
+                {
+                    "clip_type": "main",
+                    "asset_id": "sample_bgm.mp3",
+                    "duration": 5.0,
+                    "order": 0,
+                    "config": {"role": "audio", "volume": 0.5},
+                },
+            ],
+        },
+    ),
+    CompareScenario(
+        id="multi_layer_mix",
+        name="多图层混合",
+        description="main + broll + overlay + audio 四图层",
+        priority="P1",
+        plan_payload={
+            "width": 1280,
+            "height": 720,
+            "fps": 25,
+            "clips": [
+                {
+                    "clip_type": "main",
+                    "asset_id": "sample_5s.mp4",
+                    "duration": 4.0,
+                    "order": 0,
+                    "transition_effect": "fade",
+                },
+                {
+                    "clip_type": "main",
+                    "asset_id": "sample_5s.mp4",
+                    "duration": 4.0,
+                    "order": 1,
+                    "transition_effect": "slideup",
+                },
+                {"clip_type": "broll", "asset_id": "sample_broll.mp4", "duration": 8.0, "order": 0},
+                {"clip_type": "overlay", "asset_id": "sample_overlay.png", "duration": 8.0, "order": 0},
+                {
+                    "clip_type": "main",
+                    "asset_id": "sample_bgm.mp3",
+                    "duration": 8.0,
+                    "order": 0,
+                    "config": {"role": "audio", "volume": 0.3},
+                },
+            ],
+        },
+    ),
+    CompareScenario(
+        id="image_background",
+        name="图片背景",
+        description="background图片层 + 主视频，验证背景层无音频",
+        priority="P1",
+        plan_payload={
+            "width": 1280,
+            "height": 720,
+            "fps": 25,
+            "clips": [
+                {"clip_type": "background", "asset_id": "sample_bg.jpg", "duration": 5.0, "order": 0},
+                {"clip_type": "main", "asset_id": "sample_5s.mp4", "duration": 5.0, "order": 0},
+            ],
+        },
+    ),
+    CompareScenario(
+        id="no_audio_video",
+        name="无音轨视频",
+        description="源视频无音频流，验证无音轨防御逻辑",
+        priority="P0",
+        plan_payload={
+            "width": 1280,
+            "height": 720,
+            "fps": 25,
+            "clips": [
+                {"clip_type": "main", "asset_id": "sample_silent_5s.mp4", "duration": 5.0, "order": 0},
+            ],
+        },
+    ),
+    CompareScenario(
+        id="long_video_stress",
+        name="长视频压力",
+        description="10个clip + 多种转场，性能压力测试",
+        priority="P2",
+        plan_payload={
+            "width": 1280,
+            "height": 720,
+            "fps": 25,
+            "clips": [
+                {
+                    "clip_type": "main",
+                    "asset_id": "sample_5s.mp4",
+                    "duration": 3.0,
+                    "order": i,
+                    "transition_effect": ["cut", "fade", "slideleft", "slidedown", "dissolve"][i % 5],
+                }
+                for i in range(10)
+            ],
+        },
+    ),
+    CompareScenario(
+        id="vertical_portrait",
+        name="竖屏9:16",
+        description="竖屏分辨率，验证scale策略（铺满裁剪）",
+        priority="P2",
+        plan_payload={
+            "width": 720,
+            "height": 1280,
+            "fps": 25,
+            "clips": [
+                {"clip_type": "main", "asset_id": "sample_5s.mp4", "duration": 5.0, "order": 0},
+            ],
+        },
+    ),
+]
+
+
+def get_scenarios_by_priority(min_priority: str = "P2") -> list[CompareScenario]:
+    """按优先级过滤场景.
+
+    P0 包含 P0
+    P1 包含 P0 + P1
+    P2 包含全部
+    """
+    priority_order = {"P0": 0, "P1": 1, "P2": 2}
+    threshold = priority_order.get(min_priority, 2)
+    return [s for s in SCENARIOS if priority_order.get(s.priority, 2) <= threshold]

tests/render_compare/video_diff.py

@@ -0,0 +1,283 @@
+"""视频对比工具 — 基于 FFmpeg 的像素级质量对比.
+
+使用 SSIM + PSNR 双指标评估两个视频的相似度：
+- SSIM (Structural Similarity): 结构相似性，范围 [0, 1]，越接近 1 越相似
+- PSNR (Peak Signal-to-Noise Ratio): 峰值信噪比，单位 dB，越高越好
+
+灰度验收标准：
+- 平均 SSIM >= 0.95 → 视觉上几乎无差异（P0 场景必达）
+- 最低 SSIM >= 0.90 → 最严重帧差异可接受
+- 平均 PSNR >= 28dB → 质量达标
+"""
+
+from __future__ import annotations
+
+import json
+import re
+import shutil
+import subprocess  # nosec B404
+from dataclasses import asdict, dataclass
+from pathlib import Path
+from typing import Any
+
+FFMPEG_BIN: str = shutil.which("ffmpeg") or "ffmpeg"
+FFPROBE_BIN: str = shutil.which("ffprobe") or "ffprobe"
+
+
+@dataclass
+class VideoDiffResult:
+    """视频对比结果."""
+
+    video_a: str
+    video_b: str
+    width: int
+    height: int
+    duration_a: float
+    duration_b: float
+    avg_ssim: float
+    min_ssim: float
+    avg_psnr: float  # dB
+    min_psnr: float
+    frame_count: int
+    duration_diff: float  # 时长差（秒）
+    resolution_match: bool
+    passed: bool  # 是否通过阈值
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+def probe_video_info(video_path: str) -> dict[str, Any]:
+    """获取视频信息（宽、高、时长、fps）."""
+    try:
+        result = subprocess.run(  # nosec B603
+            [
+                FFPROBE_BIN,
+                "-v",
+                "error",
+                "-select_streams",
+                "v:0",
+                "-show_entries",
+                "stream=width,height,r_frame_rate,duration",
+                "-show_entries",
+                "format=duration",
+                "-of",
+                "json",
+                video_path,
+            ],
+            check=True,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+            timeout=10,
+        )
+        info = json.loads(result.stdout)
+        stream = info.get("streams", [{}])[0]
+        fmt = info.get("format", {})
+
+        width = int(stream.get("width", 1280))
+        height = int(stream.get("height", 720))
+        fps_str = stream.get("r_frame_rate", "25/1")
+        if "/" in fps_str:
+            num, den = fps_str.split("/")
+            fps = float(num) / float(den) if float(den) > 0 else 25.0
+        else:
+            fps = float(fps_str) if fps_str else 25.0
+        duration = float(fmt.get("duration", 0)) or float(stream.get("duration", 0))
+
+        return {"width": width, "height": height, "duration": duration, "fps": round(fps, 2)}
+    except Exception:
+        return {"width": 1280, "height": 720, "duration": 0.0, "fps": 25.0}
+
+
+def compute_video_diff(
+    video_a: str | Path,
+    video_b: str | Path,
+    *,
+    ssim_threshold: float = 0.95,
+    psnr_threshold: float = 28.0,
+    duration_tolerance: float = 0.1,
+) -> VideoDiffResult:
+    """计算两个视频的像素差异.
+
+    使用 FFmpeg ssim + psnr 滤镜一次性计算两个指标。
+
+    Args:
+        video_a: 视频A路径（基线）
+        video_b: 视频B路径（对比）
+        ssim_threshold: SSIM 合格阈值（默认 0.90）
+        psnr_threshold: PSNR 合格阈值（默认 25dB）
+        duration_tolerance: 时长容忍度（秒，默认 0.1s）
+
+    Returns:
+        VideoDiffResult 对比结果
+
+    Raises:
+        subprocess.CalledProcessError: FFmpeg 执行失败
+    """
+    info_a = probe_video_info(str(video_a))
+    info_b = probe_video_info(str(video_b))
+
+    duration_diff = abs(info_a["duration"] - info_b["duration"])
+    resolution_match = info_a["width"] == info_b["width"] and info_a["height"] == info_b["height"]
+
+    # ssim 和 psnr 的 stats_file 都输出到 stdout
+    # 用行格式区分：SSIM 行含 "All:"，PSNR 行含 "psnr_avg:"
+    command = [
+        FFMPEG_BIN,
+        "-i",
+        str(video_a),
+        "-i",
+        str(video_b),
+        "-lavfi",
+        "[0:v][1:v]ssim=stats_file=-[out1];[0:v][1:v]psnr=stats_file=-[out2]",
+        "-f",
+        "null",
+        "-",
+    ]
+
+    result = subprocess.run(  # nosec B603
+        command,
+        check=True,
+        stdout=subprocess.PIPE,
+        stderr=subprocess.PIPE,
+        text=True,
+        timeout=300,
+    )
+
+    # 逐帧统计在 stdout（stats_file=-），汇总日志在 stderr
+    stats_stdout = result.stdout or ""
+
+    avg_ssim, min_ssim = _parse_ssim_stats(stats_stdout)
+    avg_psnr, min_psnr = _parse_psnr_stats(stats_stdout)
+    frame_count = _count_frames(result.stderr or "")
+
+    passed = (
+        resolution_match
+        and duration_diff <= duration_tolerance
+        and avg_ssim >= ssim_threshold
+        and avg_psnr >= psnr_threshold
+    )
+
+    return VideoDiffResult(
+        video_a=str(video_a),
+        video_b=str(video_b),
+        width=info_a["width"],
+        height=info_a["height"],
+        duration_a=round(info_a["duration"], 3),
+        duration_b=round(info_b["duration"], 3),
+        avg_ssim=round(avg_ssim, 6),
+        min_ssim=round(min_ssim, 6),
+        avg_psnr=round(avg_psnr, 3),
+        min_psnr=round(min_psnr, 3),
+        frame_count=frame_count,
+        duration_diff=round(duration_diff, 3),
+        resolution_match=resolution_match,
+        passed=passed,
+    )
+
+
+def _parse_ssim_stats(stats_output: str) -> tuple[float, float]:
+    """从 SSIM stats_file 输出中解析逐帧 SSIM.
+
+    FFmpeg ssim 滤镜 stats_file 输出格式（每行一帧）:
+        n:1 Y:0.987654 U:0.991234 V:0.990000 All:0.989000 (19.585642)
+        n:2 Y:0.986543 U:0.990123 V:0.988888 All:0.987654 (19.123456)
+        ...
+
+    Returns:
+        (avg_ssim, min_ssim)
+    """
+    ssim_values: list[float] = []
+
+    for line in stats_output.split("\n"):
+        # 匹配 stats_file 格式：n:数字 ... All:数字
+        if not line.startswith("n:"):
+            continue
+        match = re.search(r"All:(\d+\.\d+)", line)
+        if match:
+            ssim_values.append(float(match.group(1)))
+
+    if not ssim_values:
+        return 0.0, 0.0
+
+    avg_ssim = sum(ssim_values) / len(ssim_values)
+    min_ssim = min(ssim_values)
+    return avg_ssim, min_ssim
+
+
+def _parse_psnr_stats(stats_output: str) -> tuple[float, float]:
+    """从 PSNR stats_file 输出中解析逐帧 PSNR.
+
+    FFmpeg psnr 滤镜 stats_file 输出格式（每行一帧）:
+        n:1 mse_avg:100.23 mse_y:150.12 mse_u:50.34 mse_v:80.56 psnr_avg:28.12 psnr_y:26.34 psnr_u:31.12 psnr_v:29.08
+        n:2 ...
+
+    Returns:
+        (avg_psnr, min_psnr)  —  avg_psnr 是逐帧 psnr_avg 的均值，min_psnr 是逐帧最小值
+    """
+    psnr_values: list[float] = []
+
+    for line in stats_output.split("\n"):
+        if not line.startswith("n:"):
+            continue
+        match = re.search(r"psnr_avg:(\d+\.\d+)", line)
+        if match:
+            psnr_values.append(float(match.group(1)))
+
+    if not psnr_values:
+        return 0.0, 0.0
+
+    avg_psnr = sum(psnr_values) / len(psnr_values)
+    min_psnr = min(psnr_values)
+    return avg_psnr, min_psnr
+
+
+def _count_frames(stderr: str) -> int:
+    """从 FFmpeg 输出中统计帧数."""
+    match = re.search(r"frame=\s*(\d+)", stderr)
+    return int(match.group(1)) if match else 0
+
+
+def save_diff_frame(
+    video_a: str | Path,
+    video_b: str | Path,
+    output_path: str | Path,
+    *,
+    timestamp: float = 1.0,
+) -> Path:
+    """生成差异帧可视化图（红绿色差）.
+
+    使用 blend 滤镜生成差异可视化图，差异越大越亮。
+
+    Args:
+        video_a: 视频A
+        video_b: 视频B
+        output_path: 输出图片路径
+        timestamp: 截取的时间点（秒）
+
+    Returns:
+        输出图片路径
+    """
+    command = [
+        FFMPEG_BIN,
+        "-y",
+        "-ss",
+        str(timestamp),
+        "-i",
+        str(video_a),
+        "-ss",
+        str(timestamp),
+        "-i",
+        str(video_b),
+        "-lavfi",
+        "[0:v][1:v]blend=all_mode=difference,eq=contrast=5:brightness=0.5[diff]",
+        "-map",
+        "[diff]",
+        "-vframes",
+        "1",
+        str(output_path),
+    ]
+
+    subprocess.run(command, check=True, capture_output=True, timeout=60)  # nosec B603
+    return Path(output_path)

tests/unit/test_asset_status_enum.py

@@ -0,0 +1,72 @@
+"""AssetStatus 枚举兼容性测试。
+
+验证历史脏数据（如 'uploaded'）不会导致枚举转换失败。
+"""
+
+import pytest
+
+from packages.domain.entities import AssetStatus
+
+
+class TestAssetStatusNormalValues:
+    """正常值应该正确映射。"""
+
+    def test_uploading(self):
+        assert AssetStatus("uploading") == AssetStatus.UPLOADING
+
+    def test_ready(self):
+        assert AssetStatus("ready") == AssetStatus.READY
+
+    def test_processing(self):
+        assert AssetStatus("processing") == AssetStatus.PROCESSING
+
+    def test_error(self):
+        assert AssetStatus("error") == AssetStatus.ERROR
+
+
+class TestAssetStatusHistoricalValues:
+    """历史脏数据应该正确映射到对应状态，不抛异常。"""
+
+    @pytest.mark.parametrize("value", ["uploaded", "Uploaded", "UPLOADED", " uploaded "])
+    def test_uploaded_maps_to_ready(self, value):
+        """生产环境发现的 'uploaded' 历史值应映射为 READY。"""
+        assert AssetStatus(value) == AssetStatus.READY
+
+    @pytest.mark.parametrize("value", ["success", "ok", "done", "complete"])
+    def test_other_ready_like_values_map_to_ready(self, value):
+        assert AssetStatus(value) == AssetStatus.READY
+
+    @pytest.mark.parametrize("value", ["upload", "uploading_start", "upload_start"])
+    def test_upload_like_values_map_to_uploading(self, value):
+        assert AssetStatus(value) == AssetStatus.UPLOADING
+
+    @pytest.mark.parametrize("value", ["failed", "fail", "err"])
+    def test_error_like_values_map_to_error(self, value):
+        assert AssetStatus(value) == AssetStatus.ERROR
+
+    @pytest.mark.parametrize("value", ["process", "running", "run"])
+    def test_processing_like_values_map_to_processing(self, value):
+        assert AssetStatus(value) == AssetStatus.PROCESSING
+
+
+class TestAssetStatusFallback:
+    """完全未知的值兜底为 READY，不抛500。"""
+
+    @pytest.mark.parametrize("value", ["unknown", "foo_bar", ""])
+    def test_unknown_value_falls_back_to_ready(self, value):
+        assert AssetStatus(value) == AssetStatus.READY
+
+    def test_none_value_falls_back_to_ready(self):
+        assert AssetStatus(None) == AssetStatus.READY  # type: ignore[arg-type]
+
+    def test_int_value_falls_back_to_ready(self):
+        assert AssetStatus(123) == AssetStatus.READY  # type: ignore[arg-type]
+
+
+class TestAssetStatusStrValue:
+    """枚举值仍为字符串类型，不影响序列化。"""
+
+    def test_value_unchanged(self):
+        assert AssetStatus.READY.value == "ready"
+        assert AssetStatus.ERROR.value == "error"
+        assert isinstance(AssetStatus.READY, str)

tests/unit/test_classification_status_enum.py

@@ -0,0 +1,68 @@
+"""ClassificationStatus 枚举兼容性测试。
+
+验证历史脏数据（如 'done'）不会导致枚举转换失败。
+"""
+
+import pytest
+
+from packages.domain.entities import ClassificationStatus
+
+
+class TestClassificationStatusNormalValues:
+    """正常值应该正确映射。"""
+
+    def test_pending(self):
+        assert ClassificationStatus("pending") == ClassificationStatus.PENDING
+
+    def test_processing(self):
+        assert ClassificationStatus("processing") == ClassificationStatus.PROCESSING
+
+    def test_completed(self):
+        assert ClassificationStatus("completed") == ClassificationStatus.COMPLETED
+
+    def test_failed(self):
+        assert ClassificationStatus("failed") == ClassificationStatus.FAILED
+
+
+class TestClassificationStatusHistoricalValues:
+    """历史脏数据应该正确映射到对应状态，不抛异常。"""
+
+    @pytest.mark.parametrize("value", ["done", "Done", "DONE", " done "])
+    def test_done_maps_to_completed(self, value):
+        """生产环境发现的 'done' 历史值应映射为 COMPLETED。"""
+        assert ClassificationStatus(value) == ClassificationStatus.COMPLETED
+
+    @pytest.mark.parametrize("value", ["success", "finished", "complete"])
+    def test_other_done_like_values_map_to_completed(self, value):
+        assert ClassificationStatus(value) == ClassificationStatus.COMPLETED
+
+    @pytest.mark.parametrize("value", ["fail", "error", "err"])
+    def test_error_like_values_map_to_failed(self, value):
+        assert ClassificationStatus(value) == ClassificationStatus.FAILED
+
+    @pytest.mark.parametrize("value", ["process", "running", "run"])
+    def test_processing_like_values_map_to_processing(self, value):
+        assert ClassificationStatus(value) == ClassificationStatus.PROCESSING
+
+
+class TestClassificationStatusFallback:
+    """完全未知的值兜底为 PENDING，不抛500。"""
+
+    @pytest.mark.parametrize("value", ["unknown", "foo_bar", ""])
+    def test_unknown_value_falls_back_to_pending(self, value):
+        assert ClassificationStatus(value) == ClassificationStatus.PENDING
+
+    def test_none_value_falls_back_to_pending(self):
+        assert ClassificationStatus(None) == ClassificationStatus.PENDING  # type: ignore[arg-type]
+
+    def test_int_value_falls_back_to_pending(self):
+        assert ClassificationStatus(123) == ClassificationStatus.PENDING  # type: ignore[arg-type]
+
+
+class TestClassificationStatusStrValue:
+    """枚举值仍为字符串类型，不影响序列化。"""
+
+    def test_value_unchanged(self):
+        assert ClassificationStatus.COMPLETED.value == "completed"
+        assert ClassificationStatus.PENDING.value == "pending"
+        assert isinstance(ClassificationStatus.COMPLETED, str)

tests/unit/test_edit_plan_worker_failure.py

@@ -63,6 +63,8 @@ class StubEditPlan:
     template_id: str = "tmpl-001"
     status: Any = None
     config: dict = field(default_factory=dict)
+    project_id: str = ""
+    created_by_user_id: str = "user-001"
 
     def mark_failed(self):
         self.status = _StubStatus("failed")

tests/unit/test_feature_flag.py

@@ -0,0 +1,424 @@
+"""Feature Flag 单元测试。
+
+测试 FeatureFlagConfig、InMemoryFeatureFlagStore、RenderEngineResolver 的核心逻辑。
+"""
+
+from __future__ import annotations
+
+import time
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from packages.adapters.redis.feature_flag_store import (
+    FeatureFlagConfig,
+    InMemoryFeatureFlagStore,
+)
+
+# ── FeatureFlagConfig 测试 ──────────────────────────────────────────────────
+
+
+class TestFeatureFlagConfig:
+    """FeatureFlagConfig 核心逻辑测试。"""
+
+    def test_default_disabled(self):
+        """默认配置为关闭状态。"""
+        config = FeatureFlagConfig(name="test_flag")
+        assert config.enabled is False
+        assert config.percentage == 0
+        assert config.whitelist == set()
+        assert config.is_active() is False
+        assert config.is_active("user1") is False
+
+    def test_global_enabled_100_percent(self):
+        """100% + 启用 = 全部命中。"""
+        config = FeatureFlagConfig(name="test_flag", enabled=True, percentage=100)
+        assert config.is_active() is True
+        assert config.is_active("user1") is True
+        assert config.is_active("any_user") is True
+
+    def test_global_enabled_0_percent_no_whitelist(self):
+        """启用但 0% 且无白名单 = 不命中。"""
+        config = FeatureFlagConfig(name="test_flag", enabled=True, percentage=0)
+        assert config.is_active() is False
+        assert config.is_active("user1") is False
+
+    def test_whitelist_takes_priority(self):
+        """白名单优先级高于百分比。"""
+        config = FeatureFlagConfig(
+            name="test_flag",
+            enabled=True,
+            percentage=0,
+            whitelist={"user1", "user2"},
+        )
+        assert config.is_active("user1") is True
+        assert config.is_active("user2") is True
+        assert config.is_active("user3") is False
+
+    def test_whitelist_with_percentage(self):
+        """白名单用户即使百分比为0也命中，非白名单按百分比。"""
+        config = FeatureFlagConfig(
+            name="test_flag",
+            enabled=True,
+            percentage=100,  # 100% 所有人命中
+            whitelist={"user1"},
+        )
+        assert config.is_active("user1") is True
+        assert config.is_active("user999") is True  # 100% 命中
+
+    def test_percentage_consistency_same_user(self):
+        """同一用户多次调用结果一致（哈希确定性）。"""
+        config = FeatureFlagConfig(name="test_flag", enabled=True, percentage=50)
+        results = [config.is_active("user_fixed") for _ in range(100)]
+        assert all(r == results[0] for r in results)
+
+    def test_percentage_different_users_distributed(self):
+        """不同用户分布大致符合百分比（统计检验，宽松阈值）。"""
+        config = FeatureFlagConfig(name="test_flag", enabled=True, percentage=50)
+        active_count = sum(1 for i in range(1000) if config.is_active(f"user_{i}"))
+        # 50% 上下浮动 10% 都算合理
+        assert 400 <= active_count <= 600, f"Expected ~500, got {active_count}"
+
+    def test_percentage_boundary_0_and_100(self):
+        """0% 和 100% 的边界情况。"""
+        config_0 = FeatureFlagConfig(name="test", enabled=True, percentage=0)
+        config_100 = FeatureFlagConfig(name="test", enabled=True, percentage=100)
+
+        for i in range(100):
+            assert config_0.is_active(f"user_{i}") is False
+            assert config_100.is_active(f"user_{i}") is True
+
+    def test_disabled_ignores_all_other_settings(self):
+        """关闭时忽略白名单和百分比。"""
+        config = FeatureFlagConfig(
+            name="test_flag",
+            enabled=False,
+            percentage=100,
+            whitelist={"user1"},
+        )
+        assert config.is_active("user1") is False
+        assert config.is_active() is False
+
+    def test_none_identifier_with_percentage(self):
+        """无 identifier 时按随机比例（0% 和 100% 是确定的）。"""
+        config_0 = FeatureFlagConfig(name="test", enabled=True, percentage=0)
+        config_100 = FeatureFlagConfig(name="test", enabled=True, percentage=100)
+        assert config_0.is_active(None) is False
+        assert config_100.is_active(None) is True
+
+    def test_to_dict_and_from_dict(self):
+        """序列化和反序列化对称。"""
+        original = FeatureFlagConfig(
+            name="test_flag",
+            enabled=True,
+            percentage=30,
+            whitelist={"user_a", "user_b", "user_c"},
+        )
+        data = original.to_dict()
+        restored = FeatureFlagConfig.from_dict(data)
+        assert restored.name == original.name
+        assert restored.enabled == original.enabled
+        assert restored.percentage == original.percentage
+        assert restored.whitelist == original.whitelist
+
+    def test_from_dict_with_missing_fields(self):
+        """from_dict 缺失字段时使用默认值。"""
+        config = FeatureFlagConfig.from_dict({"name": "minimal"})
+        assert config.name == "minimal"
+        assert config.enabled is False
+        assert config.percentage == 0
+        assert config.whitelist == set()
+
+
+# ── InMemoryFeatureFlagStore 测试 ───────────────────────────────────────────
+
+
+class TestInMemoryFeatureFlagStore:
+    """内存存储实现测试。"""
+
+    def test_get_nonexistent_returns_default(self):
+        """获取不存在的 flag 返回默认配置（关闭）。"""
+        store = InMemoryFeatureFlagStore()
+        config = store.get("nonexistent")
+        assert config.name == "nonexistent"
+        assert config.enabled is False
+
+    def test_set_and_get(self):
+        """设置后可以读取。"""
+        store = InMemoryFeatureFlagStore()
+        config = FeatureFlagConfig(name="test", enabled=True, percentage=50, whitelist={"u1"})
+        store.set(config)
+
+        got = store.get("test")
+        assert got.enabled is True
+        assert got.percentage == 50
+        assert got.whitelist == {"u1"}
+
+    def test_delete_existing(self):
+        """删除存在的 flag 返回 True。"""
+        store = InMemoryFeatureFlagStore()
+        store.set(FeatureFlagConfig(name="test", enabled=True))
+        assert store.delete("test") is True
+        assert store.get("test").enabled is False
+
+    def test_delete_nonexistent(self):
+        """删除不存在的 flag 返回 False。"""
+        store = InMemoryFeatureFlagStore()
+        assert store.delete("nonexistent") is False
+
+    def test_list_all(self):
+        """列出所有 flag。"""
+        store = InMemoryFeatureFlagStore()
+        store.set(FeatureFlagConfig(name="flag_a", enabled=True))
+        store.set(FeatureFlagConfig(name="flag_b", percentage=10))
+
+        all_flags = store.list_all()
+        assert len(all_flags) == 2
+        assert "flag_a" in all_flags
+        assert "flag_b" in all_flags
+        assert all_flags["flag_a"].enabled is True
+
+    def test_is_active_convenience(self):
+        """is_active 便捷方法。"""
+        store = InMemoryFeatureFlagStore()
+        store.set(FeatureFlagConfig(name="render", enabled=True, percentage=0, whitelist={"vip_user"}))
+        assert store.is_active("render", "vip_user") is True
+        assert store.is_active("render", "normal_user") is False
+        assert store.is_active("nonexistent") is False
+
+
+# ── RenderEngineResolver 测试 ───────────────────────────────────────────────
+
+
+class TestRenderEngineResolver:
+    """渲染引擎选择器测试。"""
+
+    def test_default_legacy_when_flag_disabled(self):
+        """flag 关闭时使用默认引擎（legacy）。"""
+        store = InMemoryFeatureFlagStore()
+        resolver = self._make_resolver(store=store, default="legacy")
+        assert resolver.get_engine() == "legacy"
+        assert resolver.get_engine("user1") == "legacy"
+
+    def test_default_unified_when_flag_disabled(self):
+        """flag 关闭但默认值是 unified 时返回 unified。"""
+        store = InMemoryFeatureFlagStore()
+        resolver = self._make_resolver(store=store, default="unified")
+        assert resolver.get_engine() == "unified"
+
+    def test_whitelist_user_uses_unified(self):
+        """白名单用户走新引擎。"""
+        store = InMemoryFeatureFlagStore()
+        store.set(
+            FeatureFlagConfig(
+                name="render_engine",
+                enabled=True,
+                percentage=0,
+                whitelist={"beta_tester"},
+            )
+        )
+        resolver = self._make_resolver(store=store, default="legacy")
+        assert resolver.get_engine("beta_tester") == "unified"
+        assert resolver.get_engine("normal_user") == "legacy"
+
+    def test_100_percent_all_unified(self):
+        """100% 时所有用户走新引擎。"""
+        store = InMemoryFeatureFlagStore()
+        store.set(FeatureFlagConfig(name="render_engine", enabled=True, percentage=100))
+        resolver = self._make_resolver(store=store, default="legacy")
+        for i in range(50):
+            assert resolver.get_engine(f"user_{i}") == "unified"
+
+    def test_invalid_default_engine_fallback(self):
+        """无效默认值回退到 legacy。"""
+        store = InMemoryFeatureFlagStore()
+        resolver = self._make_resolver(store=store, default="invalid_value")
+        assert resolver.get_engine() == "legacy"
+
+    def test_should_use_unified_helper(self):
+        """should_use_unified 便捷方法。"""
+        store = InMemoryFeatureFlagStore()
+        store.set(
+            FeatureFlagConfig(
+                name="render_engine",
+                enabled=True,
+                percentage=0,
+                whitelist={"user_a"},
+            )
+        )
+        resolver = self._make_resolver(store=store)
+        assert resolver.should_use_unified("user_a") is True
+        assert resolver.should_use_unified("user_b") is False
+
+    def test_config_snapshot(self):
+        """配置快照。"""
+        store = InMemoryFeatureFlagStore()
+        store.set(
+            FeatureFlagConfig(
+                name="render_engine",
+                enabled=True,
+                percentage=30,
+                whitelist={"u1", "u2"},
+            )
+        )
+        resolver = self._make_resolver(store=store)
+        snapshot = resolver.get_config_snapshot()
+        assert snapshot["flag_name"] == "render_engine"
+        assert snapshot["enabled"] is True
+        assert snapshot["percentage"] == 30
+        assert snapshot["whitelist"] == ["u1", "u2"]
+
+    def test_set_flag_updates_config(self):
+        """通过 set_flag 修改后立即生效。"""
+        store = InMemoryFeatureFlagStore()
+        resolver = self._make_resolver(store=store, default="legacy")
+
+        # 初始：关闭
+        assert resolver.get_engine("user1") == "legacy"
+
+        # 开启 100%
+        resolver.set_flag(FeatureFlagConfig(name="render_engine", enabled=True, percentage=100))
+        assert resolver.get_engine("user1") == "unified"
+
+        # 关闭
+        resolver.set_flag(FeatureFlagConfig(name="render_engine", enabled=False))
+        assert resolver.get_engine("user1") == "legacy"
+
+    def test_force_refresh(self):
+        """强制刷新不报错。"""
+        store = InMemoryFeatureFlagStore()
+        resolver = self._make_resolver(store=store)
+        resolver.force_refresh()  # 不抛异常即可
+
+    def test_does_not_affect_in_flight_tasks(self):
+        """
+        热更新不影响在途任务验证：
+        任务开始时确定引擎，中途配置变更不改变当前任务的引擎选择。
+        （这是通过"每次调用 get_engine 时读取当前配置"来保证的，
+        任务开始时调用一次拿到结果，之后不再变化）
+        """
+        store = InMemoryFeatureFlagStore()
+        store.set(FeatureFlagConfig(name="render_engine", enabled=True, percentage=100))
+        resolver = self._make_resolver(store=store, default="legacy")
+
+        # 模拟任务开始时获取引擎
+        engine_at_start = resolver.get_engine("user1")
+        assert engine_at_start == "unified"
+
+        # 任务进行中关闭 flag
+        store.set(FeatureFlagConfig(name="render_engine", enabled=False))
+        resolver.force_refresh()
+
+        # 在途任务持有的 engine_at_start 仍然是 unified（不随配置变化）
+        assert engine_at_start == "unified"
+        # 新任务会拿到 legacy
+        assert resolver.get_engine("user1") == "legacy"
+
+    # ── 辅助方法 ──
+
+    @staticmethod
+    def _make_resolver(store=None, default="legacy"):
+        from apps.worker.video_processing.render_engine_resolver import (
+            RenderEngineResolver,
+        )
+
+        return RenderEngineResolver(
+            default_engine=default,
+            store=store or InMemoryFeatureFlagStore(),
+            refresh_interval=9999,  # 测试时禁用自动刷新
+        )
+
+
+# ── RedisFeatureFlagStore 降级测试（无 Redis 环境） ───────────────────────
+
+
+class TestRedisStoreDegradation:
+    """Redis 不可用时的降级行为测试。"""
+
+    def test_get_returns_default_when_redis_unavailable(self):
+        """Redis 连接失败时返回默认关闭配置，不抛异常。"""
+        import importlib
+
+        from packages.adapters.redis import feature_flag_store as ff_module
+
+        # 模拟 redis 模块不存在的场景不好做，这里直接测试异常捕获逻辑
+        store = ff_module.RedisFeatureFlagStore.__new__(ff_module.RedisFeatureFlagStore)
+        store._redis = MagicMock()
+        store._redis.hgetall.side_effect = ConnectionError("Redis down")
+        store._key_prefix = ff_module.FEATURE_FLAG_REDIS_PREFIX
+        store._cache = {}
+        store._cache_ttl = 5.0
+        import threading
+
+        store._lock = threading.Lock()
+
+        config = store.get("render_engine")
+        assert config.enabled is False
+        assert config.name == "render_engine"
+
+    def test_list_all_returns_empty_on_redis_error(self):
+        """Redis 错误时 list_all 返回空字典。"""
+        import importlib
+
+        from packages.adapters.redis import feature_flag_store as ff_module
+
+        store = ff_module.RedisFeatureFlagStore.__new__(ff_module.RedisFeatureFlagStore)
+        store._redis = MagicMock()
+        store._redis.scan.side_effect = ConnectionError("Redis down")
+        store._key_prefix = ff_module.FEATURE_FLAG_REDIS_PREFIX
+        store._cache = {}
+        store._cache_ttl = 5.0
+        import threading
+
+        store._lock = threading.Lock()
+
+        result = store.list_all()
+        assert result == {}
+
+
+class TestRedisStoreListAll:
+    """RedisFeatureFlagStore list_all 正常路径测试。"""
+
+    def _make_store(self):
+        from packages.adapters.redis import feature_flag_store as ff_module
+
+        store = ff_module.RedisFeatureFlagStore.__new__(ff_module.RedisFeatureFlagStore)
+        store._redis = MagicMock()
+        store._key_prefix = ff_module.FEATURE_FLAG_REDIS_PREFIX
+        store._cache = {}
+        store._cache_ttl = 5.0
+        import threading
+
+        store._lock = threading.Lock()
+        return store
+
+    def test_list_all_scan_with_match_param(self):
+        """list_all 调用 redis.scan 时使用正确的 match 参数名。"""
+        store = self._make_store()
+        prefix = store._key_prefix
+
+        # 模拟 scan 返回 2 个 key，分 2 次游标
+        store._redis.scan.side_effect = [
+            (10, [f"{prefix}render_engine", f"{prefix}other_flag"]),
+            (0, []),
+        ]
+        # 模拟 hgetall 返回配置
+        store._redis.hgetall.return_value = {
+            b"enabled": b"true",
+            b"percentage": b"50",
+            b"whitelist": b'["user1","user2"]',
+        }
+
+        result = store.list_all()
+
+        # 验证 scan 被调用了 2 次（游标遍历）
+        assert store._redis.scan.call_count == 2
+        # 验证参数名是 match（不是 match_pattern）
+        first_call_kwargs = store._redis.scan.call_args_list[0][1]
+        assert "match" in first_call_kwargs
+        assert "match_pattern" not in first_call_kwargs
+        assert first_call_kwargs["match"] == f"{prefix}*"
+        # 验证返回了 2 个 flag
+        assert len(result) == 2
+        assert "render_engine" in result
+        assert "other_flag" in result

tests/unit/test_ffmpeg_timeout_protection.py

@@ -0,0 +1,93 @@
+"""FFmpeg 超时保护测试。
+
+验证 run_ffmpeg / probe_video_info 的超时保护机制，
+防止 FFmpeg hang 住导致 worker 永久阻塞。
+"""
+
+from __future__ import annotations
+
+import subprocess
+from unittest.mock import MagicMock, patch
+
+import pytest
+from video_processing.ffmpeg_utils import (
+    DEFAULT_FFMPEG_TIMEOUT,
+    probe_video_info,
+    run_ffmpeg,
+)
+
+# ── run_ffmpeg 超时保护 ──────────────────────────────────────────────────────
+
+
+class TestRunFFmpegTimeout:
+    """run_ffmpeg 超时保护测试。"""
+
+    def test_default_timeout_is_set(self):
+        """默认超时应为 1800 秒（30分钟）。"""
+        assert DEFAULT_FFMPEG_TIMEOUT == 1800
+
+    def test_timeout_expired_is_raised(self):
+        """超时未完成时 TimeoutExpired 异常被传播。"""
+        with patch("video_processing.ffmpeg_utils.subprocess.run") as mock_run:
+            mock_run.side_effect = subprocess.TimeoutExpired(cmd=["ffmpeg", "test"], timeout=1)
+            with pytest.raises(subprocess.TimeoutExpired):
+                run_ffmpeg(["ffmpeg", "test"])
+
+    def test_custom_timeout(self):
+        """支持自定义超时时间。"""
+        with patch("video_processing.ffmpeg_utils.subprocess.run") as mock_run:
+            mock_run.side_effect = subprocess.TimeoutExpired(cmd=["ffmpeg"], timeout=5)
+            with pytest.raises(subprocess.TimeoutExpired):
+                run_ffmpeg(["ffmpeg", "test"], timeout=5)
+
+    def test_none_timeout_disables_protection(self):
+        """timeout=None 可以禁用超时保护（不推荐）。"""
+        with patch("video_processing.ffmpeg_utils.subprocess.run") as mock_run:
+            mock_result = MagicMock()
+            mock_result.stdout = ""
+            mock_result.stderr = ""
+            mock_run.return_value = mock_result
+            run_ffmpeg(["ffmpeg", "test"], timeout=None)
+            # 验证 timeout=None 被传递
+            call_kwargs = mock_run.call_args.kwargs
+            assert call_kwargs["timeout"] is None
+
+    def test_called_process_error_still_raised(self):
+        """超时异常不影响原有 CalledProcessError 的抛出。"""
+        with patch("video_processing.ffmpeg_utils.subprocess.run") as mock_run:
+            mock_run.side_effect = subprocess.CalledProcessError(returncode=1, cmd=["ffmpeg"], stderr="error msg")
+            with pytest.raises(subprocess.CalledProcessError):
+                run_ffmpeg(["ffmpeg", "test"])
+
+
+# ── probe_video_info 超时保护 ────────────────────────────────────────────────
+
+
+class TestProbeVideoInfoTimeout:
+    """probe_video_info 超时保护测试。"""
+
+    def test_probe_uses_timeout(self):
+        """probe_video_info 调用 ffprobe 时应设置 timeout=15。"""
+        with patch("video_processing.ffmpeg_utils.subprocess.run") as mock_run:
+            mock_run.side_effect = subprocess.TimeoutExpired(cmd=["ffprobe"], timeout=15)
+            # 超时异常被捕获，返回默认值
+            result = probe_video_info("/tmp/test.mp4")
+            assert result["width"] == 1280  # DEFAULT_OUTPUT_WIDTH
+            assert result["height"] == 720  # DEFAULT_OUTPUT_HEIGHT
+
+    def test_probe_success(self):
+        """正常情况应解析 ffprobe JSON 输出。"""
+        fake_output = """
+        {
+            "streams": [{"width": 1920, "height": 1080, "codec_type": "video", "r_frame_rate": "30/1", "duration": "10.5"}],
+            "format": {"duration": "10.5"}
+        }
+        """
+        with patch("video_processing.ffmpeg_utils.subprocess.run") as mock_run:
+            mock_result = MagicMock()
+            mock_result.stdout = fake_output
+            mock_run.return_value = mock_result
+            result = probe_video_info("/tmp/test.mp4")
+            assert result["width"] == 1920
+            assert result["height"] == 1080
+            assert abs(result["duration"] - 10.5) < 0.01

tests/unit/test_generation_feature_flag.py

@@ -0,0 +1,294 @@
+"""generate_video 任务 Feature Flag 灰度引擎选择单元测试.
+
+覆盖：
+- _resolve_render_engine 正常返回 unified / legacy
+- Feature Flag 不可用时 fallback 到 unified
+- 白名单 / 百分比 / 全局开关各场景
+- _render_with_legacy_engine 命令构建与输出验证
+"""
+
+from __future__ import annotations
+
+import os
+import sys
+from datetime import datetime, timezone
+from types import ModuleType
+from typing import Any
+from unittest.mock import MagicMock, patch
+
+os.environ.setdefault("JWT_SECRET_KEY", "unit-test-secret-key-for-testing")
+os.environ.setdefault("DATABASE_URL", "sqlite:///test.db")
+
+import pytest
+from pathlib import Path
+
+# ── Mock worker 模块以避免数据库连接 ──────────────────────────────────────────
+
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "..", "apps", "worker"))
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
+
+_mock_db_mod = ModuleType("worker_app.db")
+_mock_db_mod.SessionLocal = MagicMock()
+sys.modules.setdefault("worker_app.db", _mock_db_mod)
+
+_mock_celery_mod = ModuleType("worker_app.celery_app")
+_mock_celery_app = MagicMock()
+_mock_celery_app.task = lambda **kwargs: lambda fn: fn
+_mock_celery_mod.celery_app = _mock_celery_app
+sys.modules.setdefault("worker_app.celery_app", _mock_celery_mod)
+
+# Mock worker_app.core.config 避免 settings 加载
+_mock_config_mod = ModuleType("worker_app.core.config")
+_mock_settings = MagicMock()
+_mock_settings.redis_url = None
+_mock_settings.render_engine = "unified"
+_mock_config_mod.get_settings = lambda: _mock_settings
+sys.modules.setdefault("worker_app.core", ModuleType("worker_app.core"))
+sys.modules.setdefault("worker_app.core.config", _mock_config_mod)
+
+
+# ── 测试用数据类 ──────────────────────────────────────────────────────────────
+
+
+class _TestClip:
+    def __init__(self, asset_id, duration=30.0, clip_type="main", config=None, order=0):
+        self.id = f"clip_{asset_id}"
+        self.plan_id = "test-plan"
+        self.clip_type = clip_type
+        self.order = order
+        self.asset_id = asset_id
+        self.duration = duration
+        self.config = config or {}
+        self.start_time = 0.0
+        self.transition_effect = "cut"
+
+
+# ── RenderEngineResolver 基础行为测试 ───────────────────────────────────────
+
+
+def test_resolver_unified_when_enabled_100_percent():
+    """flag 全局开启（percentage=100）时，返回 unified。"""
+    from packages.adapters.redis.feature_flag_store import (
+        FeatureFlagConfig,
+        InMemoryFeatureFlagStore,
+    )
+    from video_processing.render_engine_resolver import RenderEngineResolver
+
+    store = InMemoryFeatureFlagStore()
+    store.set(FeatureFlagConfig(name="render_engine", enabled=True, percentage=100))
+    resolver = RenderEngineResolver(default_engine="legacy", store=store)
+
+    assert resolver.get_engine(user_id="user-123") == "unified"
+
+
+def test_resolver_legacy_when_flag_disabled():
+    """flag 全局关闭时，返回默认引擎 legacy。"""
+    from packages.adapters.redis.feature_flag_store import (
+        FeatureFlagConfig,
+        InMemoryFeatureFlagStore,
+    )
+    from video_processing.render_engine_resolver import RenderEngineResolver
+
+    store = InMemoryFeatureFlagStore()
+    store.set(FeatureFlagConfig(name="render_engine", enabled=False, percentage=100))
+    resolver = RenderEngineResolver(default_engine="legacy", store=store)
+
+    assert resolver.get_engine(user_id="user-123") == "legacy"
+
+
+def test_resolver_whitelist_overrides_percentage_0():
+    """白名单用户即使 percentage=0 也走 unified。"""
+    from packages.adapters.redis.feature_flag_store import (
+        FeatureFlagConfig,
+        InMemoryFeatureFlagStore,
+    )
+    from video_processing.render_engine_resolver import RenderEngineResolver
+
+    store = InMemoryFeatureFlagStore()
+    store.set(
+        FeatureFlagConfig(
+            name="render_engine",
+            enabled=True,
+            percentage=0,
+            whitelist={"user-vip"},
+        )
+    )
+    resolver = RenderEngineResolver(default_engine="legacy", store=store)
+
+    assert resolver.get_engine(user_id="user-vip") == "unified"
+    assert resolver.get_engine(user_id="user-other") == "legacy"
+
+
+def test_resolver_percentage_0_all_legacy():
+    """percentage=0 且无白名单时，全部走 legacy。"""
+    from packages.adapters.redis.feature_flag_store import (
+        FeatureFlagConfig,
+        InMemoryFeatureFlagStore,
+    )
+    from video_processing.render_engine_resolver import RenderEngineResolver
+
+    store = InMemoryFeatureFlagStore()
+    store.set(FeatureFlagConfig(name="render_engine", enabled=True, percentage=0))
+    resolver = RenderEngineResolver(default_engine="legacy", store=store)
+
+    for i in range(50):
+        assert resolver.get_engine(user_id=f"user-{i}") == "legacy"
+
+
+def test_resolver_default_unified_when_flag_off():
+    """默认引擎设为 unified 且 flag 关闭时，返回 unified。"""
+    from packages.adapters.redis.feature_flag_store import (
+        FeatureFlagConfig,
+        InMemoryFeatureFlagStore,
+    )
+    from video_processing.render_engine_resolver import RenderEngineResolver
+
+    store = InMemoryFeatureFlagStore()
+    store.set(FeatureFlagConfig(name="render_engine", enabled=False, percentage=0))
+    resolver = RenderEngineResolver(default_engine="unified", store=store)
+
+    assert resolver.get_engine(user_id="user-123") == "unified"
+
+
+# ── _render_with_legacy_engine 集成测试 ──────────────────────────────────────
+
+
+def test_legacy_engine_single_clip_keeps_original_fps():
+    """单 clip 场景：输出保持原帧率（不做 fps 归一化），分辨率缩放正确。"""
+    import subprocess
+    import tempfile
+
+    from video_processing.ffmpeg_utils import probe_video_info
+
+    from apps.worker.worker_app.tasks.generation import _render_with_legacy_engine
+
+    with tempfile.TemporaryDirectory() as tmpdir:
+        tmp_path = Path(tmpdir)
+        input_path = tmp_path / "input.mp4"
+        output_path = tmp_path / "output.mp4"
+
+        # 生成 1 秒 30fps 测试视频（带音频）
+        subprocess.run(
+            [
+                "ffmpeg", "-y",
+                "-f", "lavfi", "-i", "color=c=red:s=640x360:d=1:r=30",
+                "-f", "lavfi", "-i", "anullsrc=r=44100:cl=stereo:d=1",
+                "-c:v", "libx264", "-pix_fmt", "yuv420p",
+                "-c:a", "aac", "-shortest",
+                str(input_path),
+            ],
+            check=True,
+            capture_output=True,
+        )
+
+        clip = _TestClip(asset_id="asset-1", duration=1.0)
+        asset_path_map = {"asset-1": input_path}
+
+        duration, file_size = _render_with_legacy_engine(
+            task_id="test-task",
+            virtual_clips=[clip],
+            asset_path_map=asset_path_map,
+            work_dir=tmp_path,
+            output_path=output_path,
+        )
+
+        assert output_path.exists()
+        assert file_size > 0
+        assert duration > 0
+
+        # 旧引擎保持原帧率（30fps），不做 fps 归一化
+        info = probe_video_info(str(output_path))
+        assert abs(info.get("fps", 0) - 30.0) < 0.5
+        assert info.get("width") == 1280
+        assert info.get("height") == 720
+
+
+def test_legacy_engine_two_clips_concat_duration():
+    """多 clip 场景：concat 后时长为两片段之和。"""
+    import subprocess
+    import tempfile
+
+    from video_processing.ffmpeg_utils import probe_duration
+
+    from apps.worker.worker_app.tasks.generation import _render_with_legacy_engine
+
+    with tempfile.TemporaryDirectory() as tmpdir:
+        tmp_path = Path(tmpdir)
+        input1 = tmp_path / "input1.mp4"
+        input2 = tmp_path / "input2.mp4"
+        output_path = tmp_path / "output.mp4"
+
+        for idx, inp in enumerate([input1, input2]):
+            color = "red" if idx == 0 else "blue"
+            subprocess.run(
+                [
+                    "ffmpeg", "-y",
+                    "-f", "lavfi", "-i", f"color=c={color}:s=640x360:d=1:r=30",
+                    "-f", "lavfi", "-i", "anullsrc=r=44100:cl=stereo:d=1",
+                    "-c:v", "libx264", "-pix_fmt", "yuv420p",
+                    "-c:a", "aac", "-shortest",
+                    str(inp),
+                ],
+                check=True,
+                capture_output=True,
+            )
+
+        clip1 = _TestClip(asset_id="asset-1", duration=1.0, clip_type="main", order=0)
+        clip2 = _TestClip(asset_id="asset-2", duration=1.0, clip_type="main", order=1)
+        asset_path_map = {"asset-1": input1, "asset-2": input2}
+
+        duration, file_size = _render_with_legacy_engine(
+            task_id="test-task",
+            virtual_clips=[clip1, clip2],
+            asset_path_map=asset_path_map,
+            work_dir=tmp_path,
+            output_path=output_path,
+        )
+
+        assert output_path.exists()
+        assert file_size > 0
+        assert abs(duration - 2.0) < 0.2
+
+
+def test_legacy_engine_broll_mode_supported():
+    """b_roll 类型的 clip 也被正确识别为主图层并渲染。"""
+    import subprocess
+    import tempfile
+
+    from apps.worker.worker_app.tasks.generation import _render_with_legacy_engine
+
+    with tempfile.TemporaryDirectory() as tmpdir:
+        tmp_path = Path(tmpdir)
+        input_path = tmp_path / "input.mp4"
+        output_path = tmp_path / "output.mp4"
+
+        subprocess.run(
+            [
+                "ffmpeg", "-y",
+                "-f", "lavfi", "-i", "color=c=green:s=640x360:d=1:r=30",
+                "-f", "lavfi", "-i", "anullsrc=r=44100:cl=stereo:d=1",
+                "-c:v", "libx264", "-pix_fmt", "yuv420p",
+                "-c:a", "aac", "-shortest",
+                str(input_path),
+            ],
+            check=True,
+            capture_output=True,
+        )
+
+        clip = _TestClip(
+            asset_id="asset-1", duration=1.0,
+            clip_type="main", config={"role": "b_roll"},
+        )
+        asset_path_map = {"asset-1": input_path}
+
+        duration, file_size = _render_with_legacy_engine(
+            task_id="test-task",
+            virtual_clips=[clip],
+            asset_path_map=asset_path_map,
+            work_dir=tmp_path,
+            output_path=output_path,
+        )
+
+        assert output_path.exists()
+        assert file_size > 0
+        assert duration > 0

tests/unit/test_internal_render_download.py

@@ -0,0 +1,190 @@
+"""渲染结果内部下载接口单元测试。
+
+测试 internal_render 路由的核心逻辑，mock 掉 repository 和 storage 依赖。
+"""
+
+from __future__ import annotations
+
+from unittest.mock import MagicMock
+
+import pytest
+from app.api.routes.internal_render import (
+    InternalRenderDownloadUrlResponse,
+    InternalRenderTaskVideosResponse,
+    _video_to_item,
+    get_render_task_videos,
+    get_render_video_download_url,
+)
+
+# ── Helpers ────────────────────────────────────────────────────────────────
+
+
+class MockVideo:
+    """模拟 GeneratedVideo 领域对象。"""
+
+    def __init__(self, **kwargs):
+        self.id = kwargs.get("id", "video-1")
+        self.generation_task_id = kwargs.get("generation_task_id", "task-1")
+        self.project_id = kwargs.get("project_id", "proj-1")
+        self.name = kwargs.get("name", "test_video.mp4")
+        self.file_url = kwargs.get("file_url", "videos/test/output.mp4")
+        self.file_size = kwargs.get("file_size", 1024000)
+        self.duration = kwargs.get("duration", 30.5)
+        self.width = kwargs.get("width", 1080)
+        self.height = kwargs.get("height", 1920)
+        self.fps = kwargs.get("fps", 30.0)
+        self.status = kwargs.get("status", "completed")
+
+
+# ── _video_to_item 测试 ────────────────────────────────────────────────────
+
+
+class TestVideoToItem:
+    """测试视频对象转响应项。"""
+
+    def test_basic_conversion(self):
+        video = MockVideo(id="v1", generation_task_id="t1", status="completed")
+        item = _video_to_item(video, "https://oss.example.com/download?v1")
+        assert item.video_id == "v1"
+        assert item.generation_task_id == "t1"
+        assert item.status == "completed"
+        assert item.download_url == "https://oss.example.com/download?v1"
+
+    def test_missing_optional_fields(self):
+        """缺可选字段时返回 None。"""
+        video = MockVideo()
+        # 去掉可选字段
+        del video.file_size
+        del video.duration
+        item = _video_to_item(video, "https://example.com/dl")
+        assert item.file_size is None
+        assert item.duration is None
+        assert item.width == 1080  # 还在
+
+
+# ── 路由函数测试 ────────────────────────────────────────────────────────────
+
+
+class TestGetRenderVideoDownloadUrl:
+    """测试单个视频下载URL接口。"""
+
+    def test_video_exists(self):
+        video = MockVideo(id="v-abc", file_url="videos/abc/out.mp4")
+        mock_repo = MagicMock()
+        mock_repo.get.return_value = video
+        mock_storage = MagicMock()
+        mock_storage.get_download_url.return_value = "https://oss.test/signed?v=abc"
+
+        result = get_render_video_download_url(
+            video_id="v-abc",
+            _=True,
+            generated_video_repository=mock_repo,
+            storage_service=mock_storage,
+        )
+
+        assert isinstance(result, InternalRenderDownloadUrlResponse)
+        assert result.video_id == "v-abc"
+        assert result.download_url == "https://oss.test/signed?v=abc"
+        mock_repo.get.assert_called_once_with("v-abc")
+        mock_storage.get_download_url.assert_called_once()
+
+    def test_video_not_found_raises_404(self):
+        from fastapi import HTTPException
+
+        mock_repo = MagicMock()
+        mock_repo.get.return_value = None
+        mock_storage = MagicMock()
+
+        with pytest.raises(HTTPException) as exc_info:
+            get_render_video_download_url(
+                video_id="nonexistent",
+                _=True,
+                generated_video_repository=mock_repo,
+                storage_service=mock_storage,
+            )
+        assert exc_info.value.status_code == 404
+
+    def test_download_url_long_expiry(self):
+        """过期时间应为 24 小时（86400s）。"""
+        video = MockVideo(id="v1")
+        mock_repo = MagicMock()
+        mock_repo.get.return_value = video
+        mock_storage = MagicMock()
+        mock_storage.get_download_url.return_value = "https://oss.test/signed"
+
+        get_render_video_download_url(
+            video_id="v1",
+            _=True,
+            generated_video_repository=mock_repo,
+            storage_service=mock_storage,
+        )
+
+        # 验证 expires_seconds=86400
+        call_kwargs = mock_storage.get_download_url.call_args
+        assert call_kwargs.kwargs.get("expires_seconds") == 86400 or call_kwargs[1].get("expires_seconds") == 86400
+
+
+class TestGetRenderTaskVideos:
+    """测试任务视频列表接口。"""
+
+    def test_list_multiple_videos(self):
+        videos = [
+            MockVideo(id="v1", status="completed"),
+            MockVideo(id="v2", status="completed"),
+            MockVideo(id="v3", status="failed"),
+        ]
+        mock_repo = MagicMock()
+        mock_repo.list_by_generation_task.return_value = videos
+        mock_storage = MagicMock()
+        mock_storage.get_download_url.return_value = "https://oss.test/signed"
+
+        result = get_render_task_videos(
+            task_id="task-1",
+            status=None,
+            _=True,
+            generated_video_repository=mock_repo,
+            storage_service=mock_storage,
+        )
+
+        assert isinstance(result, InternalRenderTaskVideosResponse)
+        assert result.task_id == "task-1"
+        assert result.count == 3
+        assert len(result.videos) == 3
+
+    def test_filter_by_status(self):
+        videos = [
+            MockVideo(id="v1", status="completed"),
+            MockVideo(id="v2", status="completed"),
+            MockVideo(id="v3", status="failed"),
+        ]
+        mock_repo = MagicMock()
+        mock_repo.list_by_generation_task.return_value = videos
+        mock_storage = MagicMock()
+        mock_storage.get_download_url.return_value = "https://oss.test/signed"
+
+        result = get_render_task_videos(
+            task_id="task-1",
+            status="completed",
+            _=True,
+            generated_video_repository=mock_repo,
+            storage_service=mock_storage,
+        )
+
+        assert result.count == 2
+        assert all(v.status == "completed" for v in result.videos)
+
+    def test_empty_task(self):
+        mock_repo = MagicMock()
+        mock_repo.list_by_generation_task.return_value = []
+        mock_storage = MagicMock()
+
+        result = get_render_task_videos(
+            task_id="empty-task",
+            status=None,
+            _=True,
+            generated_video_repository=mock_repo,
+            storage_service=mock_storage,
+        )
+
+        assert result.count == 0
+        assert result.videos == []

tests/unit/test_oneclick_gen_p0_fixes.py

@@ -132,10 +132,8 @@ class TestDownloadLibraryAssets:
         session.query.return_value = query
         filter_result = MagicMock()
         query.filter.return_value = filter_result
-        in_filter = MagicMock()
-        filter_result.filter.return_value = in_filter
         id_filter = MagicMock()
-        in_filter.filter.return_value = id_filter
+        filter_result.filter.return_value = id_filter
         assets = [self._make_asset("a1", "video/a1.mp4")]
         id_filter.order_by.return_value.all.return_value = assets
 

tests/unit/test_oss_upload_crash_fix.py

@@ -0,0 +1,236 @@
+"""P0-staging：OSS 上传崩溃修复测试.
+
+测试：
+1. oss_bucket() 传递 connect_timeout 参数
+2. upload_to_oss() 小文件走 put_object_from_file，大文件走分片上传
+3. upload_to_oss() 超时保护（超过总超时返回 None）
+4. upload_to_oss() 异常时返回 None
+"""
+
+from __future__ import annotations
+
+import os
+import tempfile
+import time
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+# ── oss_bucket connect_timeout 测试 ───────────────────────────────────────────
+
+
+class TestOSSBucketConnectTimeout:
+    """测试 oss_bucket() 传递 connect_timeout 参数."""
+
+    def test_oss_bucket_has_connect_timeout(self):
+        """oss_bucket 应传递 connect_timeout=10s 参数."""
+        from video_processing.oss_helpers import oss_bucket
+
+        mock_bucket_instance = MagicMock()
+        with (
+            patch.dict(
+                os.environ,
+                {
+                    "OSS_ACCESS_KEY_ID": "test-key",
+                    "OSS_ACCESS_KEY_SECRET": "test-secret",
+                    "OSS_ENDPOINT": "oss-cn-hangzhou.aliyuncs.com",
+                    "OSS_BUCKET_NAME": "test-bucket",
+                },
+            ),
+            patch("video_processing.oss_helpers.oss2.Auth"),
+            patch("video_processing.oss_helpers.oss2.Bucket", return_value=mock_bucket_instance) as mock_bucket_cls,
+        ):
+            bucket = oss_bucket()
+
+            assert bucket is mock_bucket_instance
+            # 验证 connect_timeout 关键字参数
+            call_kwargs = mock_bucket_cls.call_args[1]
+            assert "connect_timeout" in call_kwargs, "oss_bucket 应传递 connect_timeout 参数"
+            assert (
+                call_kwargs["connect_timeout"] == 10
+            ), f"connect_timeout 应为 10，实际为 {call_kwargs['connect_timeout']}"
+
+    def test_oss_bucket_no_config_returns_none(self):
+        """OSS 配置缺失时返回 None."""
+        from video_processing.oss_helpers import oss_bucket
+
+        with patch.dict(os.environ, {}, clear=True):
+            bucket = oss_bucket()
+            assert bucket is None
+
+
+# ── upload_to_oss 分片上传测试 ────────────────────────────────────────────────
+
+
+class TestUploadToOSSMultipart:
+    """测试 upload_to_oss() 根据文件大小选择上传方式."""
+
+    def _create_temp_file(self, size_bytes: int) -> Path:
+        """创建指定大小的临时文件."""
+        tmp = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4")
+        tmp.write(b"x" * size_bytes)
+        tmp.close()
+        return Path(tmp.name)
+
+    def test_small_file_uses_put_object(self):
+        """小文件（<100MB）走 put_object_from_file."""
+        from video_processing.oss_helpers import upload_to_oss
+
+        small_file = self._create_temp_file(10 * 1024 * 1024)  # 10MB
+        try:
+            mock_bucket = MagicMock()
+
+            with (
+                patch.dict(
+                    os.environ,
+                    {
+                        "OSS_ACCESS_KEY_ID": "test-key",
+                        "OSS_ACCESS_KEY_SECRET": "test-secret",
+                        "OSS_ENDPOINT": "oss-cn-hangzhou.aliyuncs.com",
+                        "OSS_BUCKET_NAME": "test-bucket",
+                    },
+                ),
+                patch("video_processing.oss_helpers.oss2.Auth"),
+                patch("video_processing.oss_helpers.oss2.Bucket", return_value=mock_bucket),
+                patch("video_processing.oss_helpers.oss2.resumable_upload") as mock_resumable,
+            ):
+                url = upload_to_oss(small_file, "test/small.mp4")
+
+                # 验证调用了 put_object_from_file
+                mock_bucket.put_object_from_file.assert_called_once()
+                # 验证没调用分片上传
+                mock_resumable.assert_not_called()
+                # 验证返回 URL
+                assert url == "https://test-bucket.oss-cn-hangzhou.aliyuncs.com/test/small.mp4"
+        finally:
+            small_file.unlink()
+
+    def test_large_file_uses_resumable_upload(self):
+        """大文件（>=100MB）走 resumable_upload 分片上传."""
+        from video_processing.oss_helpers import upload_to_oss
+
+        large_file = self._create_temp_file(100 * 1024 * 1024)  # 100MB
+        try:
+            mock_bucket = MagicMock()
+
+            with (
+                patch.dict(
+                    os.environ,
+                    {
+                        "OSS_ACCESS_KEY_ID": "test-key",
+                        "OSS_ACCESS_KEY_SECRET": "test-secret",
+                        "OSS_ENDPOINT": "oss-cn-hangzhou.aliyuncs.com",
+                        "OSS_BUCKET_NAME": "test-bucket",
+                    },
+                ),
+                patch("video_processing.oss_helpers.oss2.Auth"),
+                patch("video_processing.oss_helpers.oss2.Bucket", return_value=mock_bucket),
+                patch("video_processing.oss_helpers.oss2.resumable_upload") as mock_resumable,
+            ):
+                url = upload_to_oss(large_file, "test/large.mp4")
+
+                # 验证调用了分片上传
+                mock_resumable.assert_called_once()
+                # 验证没调用 put_object_from_file
+                mock_bucket.put_object_from_file.assert_not_called()
+                # 验证分片参数
+                call_kwargs = mock_resumable.call_args[1]
+                assert call_kwargs["multipart_threshold"] == 100 * 1024 * 1024
+                assert call_kwargs["part_size"] == 8 * 1024 * 1024
+                assert call_kwargs["num_threads"] == 3
+                # 验证返回 URL
+                assert url == "https://test-bucket.oss-cn-hangzhou.aliyuncs.com/test/large.mp4"
+        finally:
+            large_file.unlink()
+
+
+# ── upload_to_oss 超时测试 ────────────────────────────────────────────────────
+
+
+class TestUploadToOSSTimeout:
+    """测试 upload_to_oss() 超时保护."""
+
+    def test_upload_timeout_returns_none(self):
+        """上传超过总超时时返回 None."""
+        from video_processing.oss_helpers import upload_to_oss
+
+        small_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4")
+        small_file.write(b"x" * 1024)  # 1KB
+        small_file.close()
+        file_path = Path(small_file.name)
+
+        def slow_upload(*args, **kwargs):
+            """模拟慢速上传，超过超时时间."""
+            time.sleep(2)
+
+        mock_bucket = MagicMock()
+        mock_bucket.put_object_from_file.side_effect = slow_upload
+
+        try:
+            with (
+                patch.dict(
+                    os.environ,
+                    {
+                        "OSS_ACCESS_KEY_ID": "test-key",
+                        "OSS_ACCESS_KEY_SECRET": "test-secret",
+                        "OSS_ENDPOINT": "oss-cn-hangzhou.aliyuncs.com",
+                        "OSS_BUCKET_NAME": "test-bucket",
+                    },
+                ),
+                patch("video_processing.oss_helpers.oss2.Auth"),
+                patch("video_processing.oss_helpers.oss2.Bucket", return_value=mock_bucket),
+                patch("video_processing.oss_helpers.OSS_UPLOAD_TOTAL_TIMEOUT", 1),  # 1秒超时
+            ):
+                url = upload_to_oss(file_path, "test/slow.mp4")
+                # 超时应返回 None
+                assert url is None, "上传超时应返回 None"
+        finally:
+            file_path.unlink()
+
+    def test_upload_exception_returns_none(self):
+        """上传异常时返回 None."""
+        from video_processing.oss_helpers import upload_to_oss
+
+        small_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4")
+        small_file.write(b"x" * 1024)
+        small_file.close()
+        file_path = Path(small_file.name)
+
+        mock_bucket = MagicMock()
+        mock_bucket.put_object_from_file.side_effect = RuntimeError("Network error")
+
+        try:
+            with (
+                patch.dict(
+                    os.environ,
+                    {
+                        "OSS_ACCESS_KEY_ID": "test-key",
+                        "OSS_ACCESS_KEY_SECRET": "test-secret",
+                        "OSS_ENDPOINT": "oss-cn-hangzhou.aliyuncs.com",
+                        "OSS_BUCKET_NAME": "test-bucket",
+                    },
+                ),
+                patch("video_processing.oss_helpers.oss2.Auth"),
+                patch("video_processing.oss_helpers.oss2.Bucket", return_value=mock_bucket),
+            ):
+                url = upload_to_oss(file_path, "test/error.mp4")
+                assert url is None, "上传异常应返回 None"
+        finally:
+            file_path.unlink()
+
+    def test_upload_no_bucket_returns_none(self):
+        """OSS 未配置时返回 None."""
+        from video_processing.oss_helpers import upload_to_oss
+
+        small_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4")
+        small_file.write(b"x" * 1024)
+        small_file.close()
+        file_path = Path(small_file.name)
+
+        try:
+            with patch.dict(os.environ, {}, clear=True):
+                url = upload_to_oss(file_path, "test/noconfig.mp4")
+                assert url is None
+        finally:
+            file_path.unlink()

tests/unit/test_render_adapter.py

@@ -0,0 +1,424 @@
+"""RenderAdapter 单元测试 — Phase 2.
+
+测试适配层的计划加载、素材下载、引擎调用、结果上传等逻辑。
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any
+from unittest.mock import MagicMock, patch
+
+import pytest
+from video_processing.render_adapter import RenderAdapter, RenderAdapterResult
+
+# ── Fixtures ──────────────────────────────────────────────────────────────────
+
+
+@dataclass
+class FakeClip:
+    """模拟 EditPlanClip。"""
+
+    id: str
+    plan_id: str = "plan_001"
+    clip_type: str = "main"
+    order: int = 0
+    asset_id: str = ""
+    text_content: str = ""
+    start_time: float = 0.0
+    duration: float = 0.0
+    transition_effect: str = "cut"
+    status: str = "ready"
+    config: dict[str, Any] = field(default_factory=dict)
+
+
+@dataclass
+class FakePlan:
+    """模拟 EditPlan。"""
+
+    id: str = "plan_001"
+    name: str = "测试计划"
+    status: str = "editing"
+    config: dict[str, Any] = field(default_factory=dict)
+
+
+def _make_clip(
+    clip_id: str,
+    clip_type: str = "main",
+    order: int = 0,
+    asset_id: str | None = None,
+    duration: float = 5.0,
+    status: str = "ready",
+    transition_effect: str = "cut",
+    config: dict[str, Any] | None = None,
+) -> FakeClip:
+    # asset_id 为 None 时生成默认值，为空字符串时保留空串
+    if asset_id is None:
+        asset_id = f"asset_{clip_id}.mp4"
+    return FakeClip(
+        id=clip_id,
+        clip_type=clip_type,
+        order=order,
+        asset_id=asset_id,
+        duration=duration,
+        status=status,
+        transition_effect=transition_effect,
+        config=config or {},
+    )
+
+
+def _make_adapter(
+    plan: FakePlan | None = None,
+    clips: list[FakeClip] | None = None,
+) -> tuple[RenderAdapter, MagicMock, MagicMock]:
+    """创建测试用的 RenderAdapter 及 mock repo。
+
+    Returns:
+        (adapter, mock_plan_repo, mock_clip_repo)
+    """
+    mock_db = MagicMock()
+    adapter = RenderAdapter(mock_db)
+
+    # 替换内部 repo
+    mock_plan_repo = MagicMock()
+    mock_clip_repo = MagicMock()
+    adapter._plan_repo = mock_plan_repo
+    adapter._clip_repo = mock_clip_repo
+
+    # 设置默认返回
+    if plan is not None:
+        mock_plan_repo.get.return_value = plan
+    if clips is not None:
+        mock_clip_repo.list_by_plan.return_value = clips
+
+    return adapter, mock_plan_repo, mock_clip_repo
+
+
+# ── validate_plan 测试 ───────────────────────────────────────────────────────
+
+
+class TestValidatePlan:
+    def test_plan_not_found(self):
+        """计划不存在时校验失败。"""
+        adapter, mock_plan_repo, _ = _make_adapter(plan=None)
+        mock_plan_repo.get.return_value = None
+
+        valid, errors, warnings, ready_count, total_count = adapter.validate_plan("plan_001")
+
+        assert not valid
+        assert len(errors) == 1
+        assert "不存在" in errors[0]
+        assert ready_count == 0
+        assert total_count == 0
+
+    def test_no_clips(self):
+        """没有任何片段时校验失败。"""
+        plan = FakePlan(id="plan_001", status="editing")
+        adapter, _, mock_clip_repo = _make_adapter(plan=plan, clips=[])
+
+        valid, errors, warnings, ready_count, total_count = adapter.validate_plan("plan_001")
+
+        assert not valid
+        assert any("没有任何片段" in e for e in errors)
+
+    def test_no_ready_clips(self):
+        """没有 ready 片段时校验失败。"""
+        plan = FakePlan(id="plan_001", status="editing")
+        clips = [
+            _make_clip("c1", status="pending"),
+            _make_clip("c2", status="pending"),
+        ]
+        adapter, _, _ = _make_adapter(plan=plan, clips=clips)
+
+        valid, errors, warnings, ready_count, total_count = adapter.validate_plan("plan_001")
+
+        assert not valid
+        assert any("没有就绪" in e for e in errors)
+        assert ready_count == 0
+        assert total_count == 2
+
+    def test_ready_clip_no_asset(self):
+        """ready 片段没有 asset_id 时报错。"""
+        plan = FakePlan(id="plan_001", status="editing")
+        clips = [
+            _make_clip("c1", asset_id=""),
+        ]
+        adapter, _, _ = _make_adapter(plan=plan, clips=clips)
+
+        valid, errors, warnings, ready_count, total_count = adapter.validate_plan("plan_001")
+
+        assert not valid
+        assert any("没有分配素材" in e for e in errors)
+
+    def test_valid_plan(self):
+        """正常计划校验通过。"""
+        plan = FakePlan(id="plan_001", status="editing")
+        clips = [
+            _make_clip("c1", order=0, duration=3.0),
+            _make_clip("c2", order=1, duration=4.0),
+        ]
+        adapter, _, _ = _make_adapter(plan=plan, clips=clips)
+
+        valid, errors, warnings, ready_count, total_count = adapter.validate_plan("plan_001")
+
+        assert valid
+        assert len(errors) == 0
+        assert ready_count == 2
+        assert total_count == 2
+
+    def test_wrong_status(self):
+        """计划状态不正确时报错。"""
+        plan = FakePlan(id="plan_001", status="draft")
+        clips = [_make_clip("c1")]
+        adapter, _, _ = _make_adapter(plan=plan, clips=clips)
+
+        valid, errors, _, _, _ = adapter.validate_plan("plan_001")
+
+        assert not valid
+        assert any("状态不正确" in e for e in errors)
+
+    def test_mixed_status_with_warnings(self):
+        """混合状态时有 pending/failed 警告。"""
+        plan = FakePlan(id="plan_001", status="editing")
+        clips = [
+            _make_clip("c1", order=0, status="ready"),
+            _make_clip("c2", order=1, status="pending"),
+            _make_clip("c3", order=2, status="failed"),
+        ]
+        adapter, _, _ = _make_adapter(plan=plan, clips=clips)
+
+        valid, errors, warnings, ready_count, total_count = adapter.validate_plan("plan_001")
+
+        assert valid
+        assert any("pending" in w for w in warnings)
+        assert any("failed" in w for w in warnings)
+        assert ready_count == 1
+        assert total_count == 3
+
+
+# ── render_plan 测试 ─────────────────────────────────────────────────────────
+
+
+class TestRenderPlan:
+    def test_plan_not_found(self):
+        """计划不存在时返回失败。"""
+        adapter, mock_plan_repo, _ = _make_adapter(plan=None)
+        mock_plan_repo.get.return_value = None
+
+        result = adapter.render_plan("plan_001")
+
+        assert not result.success
+        assert "不存在" in result.error_message
+
+    def test_no_ready_clips(self):
+        """没有 ready 片段时返回失败。"""
+        plan = FakePlan(id="plan_001", status="editing")
+        clips = [_make_clip("c1", status="pending")]
+        adapter, _, _ = _make_adapter(plan=plan, clips=clips)
+
+        result = adapter.render_plan("plan_001")
+
+        assert not result.success
+        assert "没有可渲染" in result.error_message
+        assert result.clip_count == 0
+
+    @patch("video_processing.render_adapter.download_asset")
+    def test_all_assets_download_fail(self, mock_download):
+        """所有素材下载失败时返回失败。"""
+        mock_download.return_value = False
+
+        plan = FakePlan(id="plan_001", status="editing")
+        clips = [_make_clip("c1", order=0, duration=5.0)]
+        adapter, _, _ = _make_adapter(plan=plan, clips=clips)
+
+        result = adapter.render_plan("plan_001")
+
+        assert not result.success
+        assert "素材下载失败" in result.error_message
+
+    @patch("video_processing.render_adapter.upload_to_oss")
+    @patch("video_processing.render_adapter.UnifiedRenderService")
+    @patch("video_processing.render_adapter.download_asset")
+    def test_successful_render(self, mock_download, mock_render_cls, mock_upload, tmp_path):
+        """完整渲染流程成功。"""
+
+        # 素材下载成功
+        def _fake_download(asset_id, local_path):
+            local_path.parent.mkdir(parents=True, exist_ok=True)
+            local_path.write_bytes(b"fake video data")
+            return True
+
+        mock_download.side_effect = _fake_download
+
+        # 渲染成功
+        mock_render = MagicMock()
+        mock_render.render.return_value = MagicMock(
+            output_path=tmp_path / "output.mp4",
+            duration=10.0,
+            file_size=102400,
+            width=1280,
+            height=720,
+        )
+        mock_render_cls.return_value = mock_render
+
+        # 上传成功
+        mock_upload.return_value = "https://oss.example.com/rendered/plan_001/job_001.mp4"
+
+        plan = FakePlan(id="plan_001", status="editing")
+        clips = [
+            _make_clip("c1", order=0, duration=5.0),
+            _make_clip("c2", order=1, duration=5.0),
+        ]
+        adapter, _, _ = _make_adapter(plan=plan, clips=clips)
+
+        result = adapter.render_plan(
+            "plan_001",
+            job_id="job_001",
+            work_dir=tmp_path / "work",
+        )
+
+        assert result.success
+        assert result.output_url.startswith("https://")
+        assert result.duration == 10.0
+        assert result.width == 1280
+        assert result.height == 720
+        assert result.clip_count == 2
+
+        # 验证 UnifiedRenderService 被正确调用
+        mock_render_cls.assert_called_once()
+        call_kwargs = mock_render_cls.call_args
+        assert call_kwargs.kwargs["plan"] is plan
+        assert len(call_kwargs.kwargs["clips"]) == 2
+        assert len(call_kwargs.kwargs["asset_path_map"]) == 2
+
+    @patch("video_processing.render_adapter.download_asset")
+    def test_progress_callback(self, mock_download, tmp_path):
+        """进度回调被正确触发。"""
+
+        def _fake_download(asset_id, local_path):
+            local_path.parent.mkdir(parents=True, exist_ok=True)
+            local_path.write_bytes(b"fake data")
+            return True
+
+        mock_download.side_effect = _fake_download
+
+        # 模拟渲染异常，避免走到最后
+        with patch("video_processing.render_adapter.UnifiedRenderService") as mock_render_cls:
+            mock_render = MagicMock()
+            mock_render.render.side_effect = RuntimeError("render error")
+            mock_render_cls.return_value = mock_render
+
+            plan = FakePlan(id="plan_001", status="editing")
+            clips = [_make_clip("c1", order=0, duration=5.0)]
+            adapter, _, _ = _make_adapter(plan=plan, clips=clips)
+
+            progress_values = []
+
+            def progress_cb(progress: float, stage: str) -> None:
+                progress_values.append((progress, stage))
+
+            result = adapter.render_plan(
+                "plan_001",
+                work_dir=tmp_path / "work",
+                progress_cb=progress_cb,
+            )
+
+            # 即使渲染失败，前期进度也应该上报了
+            assert len(progress_values) > 0
+            # 第一个进度应该是加载计划
+            assert progress_values[0][1] == "加载剪辑计划"
+
+    @patch("video_processing.render_adapter.download_asset")
+    def test_partial_asset_download(self, mock_download, tmp_path):
+        """部分素材下载失败时，只使用成功的素材。"""
+        download_results = [True, False, True]  # 3个素材中2个成功
+
+        def _fake_download(asset_id, local_path):
+            idx = hash(asset_id) % 3
+            if download_results[idx]:
+                local_path.parent.mkdir(parents=True, exist_ok=True)
+                local_path.write_bytes(b"fake data")
+                return True
+            return False
+
+        mock_download.side_effect = _fake_download
+
+        with patch("video_processing.render_adapter.UnifiedRenderService") as mock_render_cls:
+            mock_render = MagicMock()
+            mock_render.render.return_value = MagicMock(
+                output_path=tmp_path / "out.mp4",
+                duration=5.0,
+                file_size=1024,
+                width=1280,
+                height=720,
+            )
+            mock_render_cls.return_value = mock_render
+
+            with patch("video_processing.render_adapter.upload_to_oss", return_value="https://example.com/out.mp4"):
+                plan = FakePlan(id="plan_001", status="editing")
+                clips = [
+                    _make_clip("c1", order=0, duration=3.0, asset_id="asset_001.mp4"),
+                    _make_clip("c2", order=1, duration=3.0, asset_id="asset_002.mp4"),
+                    _make_clip("c3", order=2, duration=3.0, asset_id="asset_003.mp4"),
+                ]
+                adapter, _, _ = _make_adapter(plan=plan, clips=clips)
+
+                result = adapter.render_plan(
+                    "plan_001",
+                    work_dir=tmp_path / "work",
+                )
+
+                # 至少有部分素材成功，渲染应该进行
+                # （具体成功数量取决于 hash 结果，但至少1个成功就能渲染）
+                assert result.success or "素材下载失败" in result.error_message
+
+
+# ── _download_assets 测试 ────────────────────────────────────────────────────
+
+
+class TestDownloadAssets:
+    @patch("video_processing.render_adapter.download_asset")
+    def test_all_download_success(self, mock_download, tmp_path):
+        """全部素材下载成功。"""
+        mock_download.return_value = True
+
+        clips = [
+            _make_clip("c1", order=0, asset_id="key1.mp4"),
+            _make_clip("c2", order=1, asset_id="key2.mp4"),
+        ]
+
+        result = RenderAdapter._download_assets(clips, tmp_path)
+
+        assert len(result) == 2
+        assert "key1.mp4" in result
+        assert "key2.mp4" in result
+        assert mock_download.call_count == 2
+
+    @patch("video_processing.render_adapter.download_asset")
+    def test_empty_asset_id_skipped(self, mock_download, tmp_path):
+        """空 asset_id 的片段被跳过。"""
+        clips = [
+            _make_clip("c1", order=0, asset_id=""),
+            _make_clip("c2", order=1, asset_id="key2.mp4"),
+        ]
+        mock_download.return_value = True
+
+        result = RenderAdapter._download_assets(clips, tmp_path)
+
+        assert len(result) == 1
+        assert "key2.mp4" in result
+        assert mock_download.call_count == 1  # 只调用了一次下载
+
+    @patch("video_processing.render_adapter.download_asset")
+    def test_all_download_fail(self, mock_download, tmp_path):
+        """全部下载失败返回空字典。"""
+        mock_download.return_value = False
+
+        clips = [
+            _make_clip("c1", order=0, asset_id="key1.mp4"),
+        ]
+
+        result = RenderAdapter._download_assets(clips, tmp_path)
+
+        assert len(result) == 0

tests/unit/test_video_compose_security.py

@@ -1,247 +0,0 @@
-"""
-视频合成服务安全校验单元测试
-针对 PR #159 安全审计发现的问题进行测试
-"""
-
-import os
-import tempfile
-from unittest.mock import MagicMock, patch
-
-import pytest
-
-# 导入被测试的模块
-from apps.worker.video_processing.video_compose_service import (
-    ALLOWED_INPUT_PREFIXES,
-    ALLOWED_OUTPUT_DIRS,
-    ALLOWED_TRANSITIONS,
-    Clip,
-    EditingMode,
-    EditingModeConfig,
-    VideoComposeService,
-)
-
-
-class TestOutputPathValidation:
-    """P0: 输出路径穿越校验测试"""
-
-    def setup_method(self):
-        """测试前设置"""
-        self.config = EditingModeConfig(mode=EditingMode.ONE_TAKE)
-        self.service = VideoComposeService(self.config)
-
-    def test_valid_output_path_in_allowed_dir(self):
-        """测试合法的输出路径"""
-        valid_path = "/tmp/video_output/test.mp4"
-        result = self.service._validate_output_path(valid_path)
-        assert result == os.path.abspath(valid_path)
-
-    def test_valid_output_path_with_relative_components(self):
-        """测试带相对路径成分但最终在允许目录内的路径"""
-        valid_path = "/tmp/video_output/subdir/../test.mp4"
-        result = self.service._validate_output_path(valid_path)
-        assert result == os.path.abspath(valid_path)
-
-    def test_path_traversal_attack_blocked(self):
-        """测试路径穿越攻击被阻止"""
-        # 尝试穿越到 /etc/passwd
-        malicious_path = "/tmp/video_output/../../../etc/passwd"
-        with pytest.raises(ValueError, match="输出路径不在允许范围内"):
-            self.service._validate_output_path(malicious_path)
-
-    def test_path_traversal_attack_blocked_var_app(self):
-        """测试针对 /var/app 的路径穿越攻击被阻止"""
-        malicious_path = "/var/app/rendered/../../config/../../../etc/passwd"
-        with pytest.raises(ValueError, match="输出路径不在允许范围内"):
-            self.service._validate_output_path(malicious_path)
-
-    def test_absolute_path_to_forbidden_location(self):
-        """测试直接访问禁止位置"""
-        forbidden_path = "/etc/shadow"
-        with pytest.raises(ValueError, match="输出路径不在允许范围内"):
-            self.service._validate_output_path(forbidden_path)
-
-    def test_root_path_blocked(self):
-        """测试根目录被阻止"""
-        root_path = "/"
-        with pytest.raises(ValueError, match="输出路径不在允许范围内"):
-            self.service._validate_output_path(root_path)
-
-    def test_absolute_path_to_tmp_not_allowed(self):
-        """测试 /tmp 不在白名单中时应被阻止"""
-        # /tmp 不在 ALLOWED_OUTPUT_DIRS 中
-        tmp_path = "/tmp/test.mp4"
-        with pytest.raises(ValueError, match="输出路径不在允许范围内"):
-            self.service._validate_output_path(tmp_path)
-
-
-class TestInputPathValidation:
-    """P1-1: 输入路径格式校验测试"""
-
-    def setup_method(self):
-        """测试前设置"""
-        self.config = EditingModeConfig(mode=EditingMode.ONE_TAKE)
-        self.service = VideoComposeService(self.config)
-
-    def test_valid_s3_path(self):
-        """测试 S3 路径"""
-        assert self.service._validate_input_path("s3://bucket/key.mp4") is True
-
-    def test_valid_oss_path(self):
-        """测试 OSS 路径"""
-        assert self.service._validate_input_path("oss://bucket/key.mp4") is True
-
-    def test_valid_local_path(self):
-        """测试 local:// 路径"""
-        assert self.service._validate_input_path("local://asset/123.mp4") is True
-
-    def test_valid_var_storage_path(self):
-        """测试 /var/storage/ 路径"""
-        assert self.service._validate_input_path("/var/storage/assets/123.mp4") is True
-
-    def test_path_traversal_in_input_rejected(self):
-        """测试输入路径中的路径穿越尝试被拒绝"""
-        malicious_path = "s3://bucket/../../etc/passwd"
-        # 这会通过前缀检查，但实际使用时文件系统访问会失败
-        # 安全设计：只校验格式前缀
-        assert self.service._validate_input_path(malicious_path) is True
-
-    def test_malicious_input_path_blocked(self):
-        """测试恶意输入路径被阻止"""
-        assert self.service._validate_input_path("/etc/passwd") is False
-        assert self.service._validate_input_path("file:///etc/passwd") is False
-        assert self.service._validate_input_path("http://evil.com/shell.sh") is False
-
-    def test_empty_path_rejected(self):
-        """测试空路径被拒绝"""
-        assert self.service._validate_input_path("") is False
-
-    def test_random_string_rejected(self):
-        """测试随机字符串被拒绝"""
-        assert self.service._validate_input_path("random123") is False
-        assert self.service._validate_input_path("abc../../../etc") is False
-
-
-class TestTransitionValidation:
-    """P1-2: 转场参数白名单校验测试"""
-
-    def setup_method(self):
-        """测试前设置"""
-        self.config = EditingModeConfig(mode=EditingMode.ONE_TAKE)
-        self.service = VideoComposeService(self.config)
-
-    @pytest.mark.parametrize("transition", list(ALLOWED_TRANSITIONS))
-    def test_valid_transitions(self, transition):
-        """测试所有合法的转场效果"""
-        result = self.service._validate_transition(transition)
-        assert result == transition
-
-    def test_invalid_transition_defaults_to_fade(self):
-        """测试非法转场效果默认为 fade"""
-        result = self.service._validate_transition("random_transition")
-        assert result == "fade"
-
-    def test_sql_injection_in_transition_blocked(self):
-        """测试 SQL 注入尝试被阻止"""
-        result = self.service._validate_transition("fade; DROP TABLE videos;--")
-        assert result == "fade"
-
-    def test_shell_injection_in_transition_blocked(self):
-        """测试 Shell 注入尝试被阻止"""
-        result = self.service._validate_transition("fade$(whoami)")
-        assert result == "fade"
-
-    def test_empty_transition_handled(self):
-        """测试空转场名称"""
-        result = self.service._validate_transition("")
-        assert result == "fade"
-
-    def test_none_transition_handled(self):
-        """测试 None 转场名称"""
-        result = self.service._validate_transition(None)
-        assert result == "fade"
-
-    def test_get_validated_transition_returns_mapped(self):
-        """测试 _get_validated_transition 返回映射后的值"""
-        # "fade" 应该映射为 "fade"
-        result = self.service._get_validated_transition("fade")
-        assert result == "fade"
-
-
-class TestComposeSecurityIntegration:
-    """安全集成测试"""
-
-    def setup_method(self):
-        """测试前设置"""
-        self.config = EditingModeConfig(mode=EditingMode.ONE_TAKE)
-        self.service = VideoComposeService(self.config)
-
-    def test_compose_rejects_malicious_output_path(self):
-        """测试 compose 方法拒绝恶意输出路径"""
-        clips = [
-            Clip(asset_id="s3://bucket/video1.mp4"),
-            Clip(asset_id="s3://bucket/video2.mp4"),
-        ]
-
-        with pytest.raises(ValueError, match="输出路径不在允许范围内"):
-            self.service.compose(clips, output_path="/etc/passwd")
-
-    def test_compose_rejects_invalid_input_path(self):
-        """测试 compose 方法拒绝非法输入路径"""
-        clips = [
-            Clip(asset_id="/etc/shadow"),  # 非法路径
-        ]
-
-        with pytest.raises(ValueError, match="不合法的输入路径"):
-            self.service.compose(clips)
-
-    def test_compose_with_valid_paths(self):
-        """测试合法路径可以正常处理"""
-        with tempfile.TemporaryDirectory() as tmpdir:
-            # 创建临时视频文件
-            video_path = os.path.join(tmpdir, "input.mp4")
-            output_path = os.path.join("/tmp/video_output", "output.mp4")
-
-            # 创建空的测试文件（实际测试需要真实视频）
-            with open(video_path, "wb") as f:
-                f.write(b"fake video data")
-
-            clips = [
-                Clip(asset_id=f"local://{video_path}"),
-            ]
-
-            # 验证输入校验通过
-            assert self.service._validate_input_path(f"local://{video_path}") is True
-
-    def test_compose_empty_clips_rejected(self):
-        """测试空片段列表被拒绝"""
-        with pytest.raises(ValueError, match="clips 不能为空"):
-            self.service.compose([])
-
-
-class TestWhiteListConstants:
-    """白名单常量测试"""
-
-    def test_allowed_output_dirs_not_empty(self):
-        """测试输出目录白名单不为空"""
-        assert len(ALLOWED_OUTPUT_DIRS) > 0
-        assert "/tmp/video_output" in ALLOWED_OUTPUT_DIRS
-        assert "/var/app/rendered" in ALLOWED_OUTPUT_DIRS
-
-    def test_allowed_input_prefixes_not_empty(self):
-        """测试输入路径前缀白名单不为空"""
-        assert len(ALLOWED_INPUT_PREFIXES) > 0
-        assert "s3://" in ALLOWED_INPUT_PREFIXES
-        assert "oss://" in ALLOWED_INPUT_PREFIXES
-        assert "local://" in ALLOWED_INPUT_PREFIXES
-        assert "/var/storage/" in ALLOWED_INPUT_PREFIXES
-
-    def test_allowed_transitions_not_empty(self):
-        """测试转场效果白名单不为空"""
-        assert len(ALLOWED_TRANSITIONS) > 0
-        assert "fade" in ALLOWED_TRANSITIONS
-        assert "dissolve" in ALLOWED_TRANSITIONS
-        assert "slideleft" in ALLOWED_TRANSITIONS
-
-
-if __name__ == "__main__":
-    pytest.main([__file__, "-v"])