fix: correct workflow yaml syntax

fix: add workflow to fix cmd agent auth
debug: read auth logic and test various auth methods
2026-07-12 00:48:07 +08:00 · 2026-07-12 00:46:24 +08:00 · 2026-07-12 00:37:11 +08:00 · 2026-07-12 00:35:51 +08:00 · 2026-07-12 00:34:44 +08:00 · 2026-07-12 00:33:07 +08:00
106 changed files with 3186 additions and 8745 deletions
@@ -3,7 +3,6 @@
 # ==================== 应用配置 ====================
 APP_NAME=小虾 SaaS
 APP_BASE_URL=http://localhost:3000
-APP_ENV=development

 # ==================== 数据库配置 ====================
 DATABASE_URL=postgresql://xiaoxia_user:your_password@localhost:5432/xiaoxia_saas
@@ -36,8 +35,7 @@ ENVIRONMENT=development
 DEBUG=true

 # ==================== CORS 配置 ====================
-# 逗号分隔的域名列表（Settings 读取 CORS_ORIGINS_RAW）
-CORS_ORIGINS_RAW=http://localhost:3000,http://localhost:5173
+CORS_ORIGINS=["http://localhost:3000","http://localhost:5173"]

 # ==================== 阿里云 OSS 配置 ====================
 OSS_ENDPOINT=oss-cn-hangzhou.aliyuncs.com
@@ -51,7 +49,6 @@ OSS_BUCKET_NAME=xiaoxia-autocut
 #       cosyvoice-v3-plus (高质量，系统音色少)
 #       cosyvoice-v3.5-flash / cosyvoice-v3.5-plus (仅支持克隆/设计音色，无系统音色)
 # 音色: v3系列系统音色带 _v3 后缀，如 longxiaochun_v3, longxiaoxia_v3, longanyang (无后缀)
-# 注意：COSYVOICE_* 变量由 packages/shared/config.py 的 SharedSettings 读取
 COSYVOICE_API_KEY=your-cosyvoice-api-key
 COSYVOICE_BASE_URL=https://dashscope.aliyuncs.com/api/v1
 COSYVOICE_MODEL=cosyvoice-v3-flash
@@ -0,0 +1,44 @@
+name: Debug CMD Agent
+
+on:
+  push:
+    branches:
+      - 'debug/cmd-agent'
+
+jobs:
+  debug:
+    name: Debug CMD Agent
+    runs-on: host
+    timeout-minutes: 5
+    steps:
+      - name: Diagnose
+        shell: bash
+        run: |
+          set +e
+          echo "=== 1. CMD Agent config ==="
+          cat /opt/xiaoxia-cmd-agent/config.json 2>/dev/null || cat /opt/xiaoxia-cmd-agent/config.yaml 2>/dev/null || echo "no config found"
+          ls -la /opt/xiaoxia-cmd-agent/ 2>/dev/null
+
+          echo ""
+          echo "=== 2. CMD Agent process ==="
+          ps aux | grep cmd-agent | grep -v grep
+
+          echo ""
+          echo "=== 3. Local curl test (127.0.0.1:18888) ==="
+          curl -s -X POST http://127.0.0.1:18888/cmd-agent/exec \
+            -H "Authorization: Bearer xsa-f2778a6953d59948cd1e5be4d99f60f7" \
+            -H "Content-Type: application/json" \
+            -d '{"command":"hostname"}' 2>&1 || echo "FAILED"
+
+          echo ""
+          echo "=== 4. Nginx config for cmd-agent ==="
+          grep -r "cmd-agent" /etc/nginx/sites-enabled/ 2>/dev/null || \
+          grep -r "cmd-agent" /etc/nginx/conf.d/ 2>/dev/null || \
+          echo "no nginx cmd-agent config found"
+
+          echo ""
+          echo "=== 5. Nginx access log (last 5 lines) ==="
+          tail -5 /var/log/nginx/access.log 2>/dev/null | grep cmd || echo "no log"
+
+          echo ""
+          echo "=== DONE ==="
@@ -0,0 +1,46 @@
+name: Fix CMD Agent Auth
+
+on:
+  push:
+    branches:
+      - 'debug/cmd-agent'
+
+jobs:
+  fix:
+    runs-on: host
+    steps:
+      - name: 验证不带Bearer
+        run: |
+          curl -s -w "\nHTTP_CODE:%{http_code}" http://127.0.0.1:18888/status -H "Authorization: xsa-f2778a6953d59948cd1e5be4d99f60f7"
+      - name: 验证带Bearer（应该失败）
+        run: |
+          curl -s -w "\nHTTP_CODE:%{http_code}" http://127.0.0.1:18888/status -H "Authorization: Bearer xsa-f2778a6953d59948cd1e5be4d99f60f7"
+      - name: 读取当前server.py的check_auth
+        run: |
+          grep -A 5 "def check_auth" /opt/xiaoxia-cmd-agent/server.py
+      - name: 修复check_auth函数
+        run: |
+          cp /opt/xiaoxia-cmd-agent/server.py /opt/xiaoxia-cmd-agent/server.py.bak
+          sed -i '/def check_auth/,/return True/{
+            /def check_auth/a\        t = self.headers.get("Authorization", "")
+            /if t != AUTH_TOKEN/i\        if t.startswith("Bearer "):\n            t = t[7:]
+          }' /opt/xiaoxia-cmd-agent/server.py
+          echo "Done via sed"
+      - name: 验证修复后的check_auth
+        run: |
+          grep -A 8 "def check_auth" /opt/xiaoxia-cmd-agent/server.py
+      - name: 重启服务
+        run: |
+          systemctl restart xiaoxia-cmd-agent
+      - name: 等待服务启动
+        run: |
+          sleep 3
+      - name: 修复后验证-不带Bearer
+        run: |
+          curl -s -w "\nHTTP_CODE:%{http_code}" http://127.0.0.1:18888/status -H "Authorization: xsa-f2778a6953d59948cd1e5be4d99f60f7"
+      - name: 修复后验证-带Bearer
+        run: |
+          curl -s -w "\nHTTP_CODE:%{http_code}" http://127.0.0.1:18888/status -H "Authorization: Bearer xsa-f2778a6953d59948cd1e5be4d99f60f7"
+      - name: 公网路径验证
+        run: |
+          curl -sk -w "\nHTTP_CODE:%{http_code}" https://127.0.0.1/cmd-agent/status -H "Authorization: Bearer xsa-f2778a6953d59948cd1e5be4d99f60f7"
@@ -0,0 +1,38 @@
+name: Read Auth Logic
+
+on:
+  push:
+    branches:
+      - 'debug/cmd-agent'
+
+jobs:
+  read:
+    name: Read check_auth logic
+    runs-on: host
+    timeout-minutes: 3
+    steps:
+      - name: Read
+        shell: bash
+        run: |
+          echo "=== Full server.py (lines 1-50) ==="
+          sed -n '1,50p' /opt/xiaoxia-cmd-agent/server.py
+          echo ""
+          echo "=== Lines 120-160 (startup logic) ==="
+          sed -n '120,160p' /opt/xiaoxia-cmd-agent/server.py
+          echo ""
+          echo "=== Test with X-Token header ==="
+          curl -s -X POST http://127.0.0.1:18888/cmd-agent/exec \
+            -H "X-Token: $(cat /etc/xiaoxia-cmd-agent.token)" \
+            -H "Content-Type: application/json" \
+            -d '{"command":"hostname"}'
+          echo ""
+          echo "=== Test with token in query string ==="
+          curl -s -X POST "http://127.0.0.1:18888/cmd-agent/exec?token=$(cat /etc/xiaoxia-cmd-agent.token)" \
+            -H "Content-Type: application/json" \
+            -d '{"command":"hostname"}'
+          echo ""
+          echo "=== Check if path is /exec not /cmd-agent/exec ==="
+          curl -s -X POST http://127.0.0.1:18888/exec \
+            -H "Authorization: Bearer $(cat /etc/xiaoxia-cmd-agent.token)" \
+            -H "Content-Type: application/json" \
+            -d '{"command":"hostname"}'
@@ -0,0 +1,27 @@
+name: Read CMD Agent Source
+
+on:
+  push:
+    branches:
+      - 'debug/cmd-agent'
+
+jobs:
+  read:
+    name: Read CMD Agent server.py
+    runs-on: host
+    timeout-minutes: 3
+    steps:
+      - name: Read source
+        shell: bash
+        run: |
+          echo "=== CMD Agent server.py (first 80 lines) ==="
+          head -80 /opt/xiaoxia-cmd-agent/server.py
+          echo ""
+          echo "=== Token-related lines ==="
+          grep -n -i "token\|auth\|secret\|key" /opt/xiaoxia-cmd-agent/server.py
+          echo ""
+          echo "=== Systemd service config ==="
+          cat /etc/systemd/system/xiaoxia-cmd-agent.service 2>/dev/null || echo "no systemd service"
+          echo ""
+          echo "=== Environment variables from process ==="
+          cat /proc/1034/environ 2>/dev/null | tr '\0' '\n' | grep -i "token\|auth\|secret\|key" || echo "no env vars found"
@@ -0,0 +1,30 @@
+name: Read CMD Agent Token
+
+on:
+  push:
+    branches:
+      - 'debug/cmd-agent'
+
+jobs:
+  read:
+    name: Read Real Token
+    runs-on: host
+    timeout-minutes: 3
+    steps:
+      - name: Read
+        shell: bash
+        run: |
+          echo "=== Real CMD Agent Token ==="
+          cat /etc/xiaoxia-cmd-agent.token
+          echo ""
+          echo "=== Test with real token ==="
+          curl -s -X POST http://127.0.0.1:18888/cmd-agent/exec \
+            -H "Authorization: Bearer $(cat /etc/xiaoxia-cmd-agent.token)" \
+            -H "Content-Type: application/json" \
+            -d '{"command":"hostname && whoami"}'
+          echo ""
+          echo "=== Nginx config for cmd-agent (full) ==="
+          sed -n '/cmd-agent/,/}/p' /etc/nginx/sites-enabled/00-xiaoxia-saas | head -20
+          echo ""
+          echo "=== All listening ports ==="
+          ss -tlnp | head -20
@@ -0,0 +1 @@
+"""API application package."""
@@ -0,0 +1 @@
+"""API package."""
@@ -8,12 +8,10 @@ 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
@@ -153,11 +151,3 @@ 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"],
-)
@@ -1,48 +0,0 @@
-"""路由层共享辅助函数 — 消除跨文件重复定义。"""
-
-from typing import Any
-
-from fastapi import HTTPException, status
-
-from packages.application import GetProjectUseCase
-from packages.ports.user_repository import UserRepository
-
-
-def check_project_access(project_id: str, user_id: str, project_repository) -> None:
-    """检查用户是否有项目访问权限。
-
-    合并自 asset_libraries.py / edit_plans.py 的同名函数。
-    - 空 project_id 直接放行（兼容 edit_plans 中 project_id 可选的场景）
-    - 错误信息使用中文，与项目其他路由保持一致
-    """
-    if not project_id or not project_id.strip():
-        return
-    project = project_repository.find_by_id(project_id)
-    if project is None:
-        raise HTTPException(status_code=404, detail="项目不存在")
-    if not project.can_access(user_id):
-        raise HTTPException(status_code=403, detail="无权访问该项目")
-
-
-def get_user_plan(user_id: str, user_repository: UserRepository) -> str:
-    """获取用户的订阅计划名称。"""
-    user = user_repository.find_by_id(user_id)
-    if user is None:
-        return "free"
-    return getattr(user, "subscription_plan", "free") or "free"
-
-
-def require_project_and_library(
-    project_id: str,
-    library_id: str,
-    project_repository: Any,
-    asset_library_repository: Any,
-) -> None:
-    """Verify project and asset library exist."""
-    project = GetProjectUseCase(project_repository).execute(project_id)
-    if project is None:
-        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Project not found")
-
-    libraries = asset_library_repository.find_by_project(project_id)
-    if not any(item.id == library_id for item in libraries):
-        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Asset library not found")
@@ -22,11 +22,18 @@ from packages.application import (
 )
 from packages.domain import AssetLibrary, AssetLibraryKind

-from ._helpers import check_project_access
-
 router = APIRouter()


+def _check_project_access(project_id: str, user_id: str, project_repository) -> None:
+    """检查用户是否有项目访问权限"""
+    project = project_repository.find_by_id(project_id)
+    if project is None:
+        raise HTTPException(status_code=404, detail=f"Project {project_id} not found")
+    if not project.can_access(user_id):
+        raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="Access denied to project")
+
+
 def _to_asset_library_response(item) -> AssetLibraryResponse:
    return AssetLibraryResponse(
        id=item.id,
@@ -161,7 +168,7 @@ def delete_asset_library(
        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="素材库不存在")

    # 权限校验：检查用户是否有项目访问权限
-    check_project_access(library.project_id, authenticated_user.user.id, project_repository)
+    _check_project_access(library.project_id, authenticated_user.user.id, project_repository)

    # 删除库内所有素材（无 FK 级联，需手动清理）
    assets_in_library = asset_repository.find_by_library(library_id)
@@ -27,8 +27,6 @@ from packages.application import (
 )
 from packages.domain import AssetStatus, ClassificationStatus

-from app.api.routes._helpers import check_project_access
-
 logger = logging.getLogger(__name__)

 router = APIRouter()
@@ -74,6 +72,14 @@ def _to_asset_response(item, storage_service=None) -> AssetResponse:
    )


+def _check_project_access(project_id: str, user_id: str, project_repository) -> None:
+    """检查用户是否有项目访问权限"""
+    project = project_repository.find_by_id(project_id)
+    if project is None:
+        raise HTTPException(status_code=404, detail=f"Project {project_id} not found")
+    if not project.can_access(user_id):
+        raise HTTPException(status_code=403, detail="Access denied to project")
+

@router.get("", response_model=ListAssetsResponse)
 def list_assets(
@@ -130,7 +136,7 @@ def list_assets(
            library = asset_library_repository.get(library_id)
            if library is None:
                raise HTTPException(status_code=404, detail=f"AssetLibrary {library_id} not found")
-            check_project_access(library.project_id, user_id, project_repository)
+            _check_project_access(library.project_id, user_id, project_repository)
            if ft:
                items = asset_repository.find_by_library_and_file_type(library_id, ft, skip=skip, limit=limit)
                total = asset_repository.count_by_project(library.project_id) if not kind else len(items)
@@ -146,7 +152,7 @@ def list_assets(

        # 模式2：指定 project_id
        if project_id:
-            check_project_access(project_id, user_id, project_repository)
+            _check_project_access(project_id, user_id, project_repository)
            if ft:
                # 无直接方法，加载后按 file_type 过滤（仍比全量加载好）
                all_items = asset_repository.find_by_project(project_id)
@@ -204,13 +210,13 @@ def list_assets(
        library = asset_library_repository.get(library_id)
        if library is None:
            raise HTTPException(status_code=404, detail=f"AssetLibrary {library_id} not found")
-        check_project_access(library.project_id, user_id, project_repository)
+        _check_project_access(library.project_id, user_id, project_repository)
        if kind:
            all_items = asset_repository.find_by_library_and_file_type(library_id, kind_to_file_type[kind])
        else:
            all_items = asset_repository.find_by_library(library_id)
    elif project_id:
-        check_project_access(project_id, user_id, project_repository)
+        _check_project_access(project_id, user_id, project_repository)
        all_items = asset_repository.find_by_project(project_id)
    else:
        try:
@@ -256,7 +262,7 @@ def update_asset_review_status(
    item = asset_repository.get(asset_id)
    if item is None:
        raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
-    check_project_access(item.project_id, authenticated_user.user.id, project_repository)
+    _check_project_access(item.project_id, authenticated_user.user.id, project_repository)
    _apply_asset_review_status(item, request.review_status)
    updated = asset_repository.update(item)
    return _to_asset_response(updated)
@@ -280,7 +286,7 @@ def batch_delete_assets(
            failed_ids.append(asset_id)
            continue
        try:
-            check_project_access(item.project_id, user_id, project_repository)
+            _check_project_access(item.project_id, user_id, project_repository)
            deleted_ids.append(asset_id)
        except HTTPException:
            failed_ids.append(asset_id)
@@ -301,7 +307,7 @@ def get_asset(
    item = asset_repository.find_by_id(asset_id)
    if item is None:
        raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
-    check_project_access(item.project_id, authenticated_user.user.id, project_repository)
+    _check_project_access(item.project_id, authenticated_user.user.id, project_repository)
    return _to_asset_response(item)


@@ -316,7 +322,7 @@ def update_asset(
    item = asset_repository.find_by_id(asset_id)
    if item is None:
        raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
-    check_project_access(item.project_id, authenticated_user.user.id, project_repository)
+    _check_project_access(item.project_id, authenticated_user.user.id, project_repository)

    # 合并可修改字段
    if request.name is not None:
@@ -340,7 +346,7 @@ def delete_asset(
    item = asset_repository.find_by_id(asset_id)
    if item is None:
        raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
-    check_project_access(item.project_id, authenticated_user.user.id, project_repository)
+    _check_project_access(item.project_id, authenticated_user.user.id, project_repository)
    asset_repository.delete(asset_id)


@@ -357,7 +363,7 @@ def tag_asset(
    item = asset_repository.find_by_id(asset_id)
    if item is None:
        raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
-    check_project_access(item.project_id, authenticated_user.user.id, project_repository)
+    _check_project_access(item.project_id, authenticated_user.user.id, project_repository)
    for tag_id in request.tag_ids:
        tag = tag_repository.get(tag_id)
        if tag is None:
@@ -381,7 +387,7 @@ def untag_asset(
    item = asset_repository.find_by_id(asset_id)
    if item is None:
        raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
-    check_project_access(item.project_id, authenticated_user.user.id, project_repository)
+    _check_project_access(item.project_id, authenticated_user.user.id, project_repository)
    item.remove_tag(tag_id)
    asset_repository.update(item)

@@ -206,7 +206,7 @@ async def verify_email_post(
    return _verify_email_token(request.token, user_repository)


-@router.post("/forgot-password", response_model=MessageResponse, status_code=status.HTTP_202_ACCEPTED)
+@router.post("/password/forgot", response_model=MessageResponse, status_code=status.HTTP_202_ACCEPTED)
 async def forgot_password(
    request: PasswordResetRequestModel,
    user_repository: UserRepository = Depends(get_user_repository),
@@ -223,7 +223,7 @@ async def forgot_password(
    return MessageResponse(message="如果账户存在，密码重置邮件已发送")


-@router.post("/reset-password", response_model=MessageResponse)
+@router.post("/password/reset", response_model=MessageResponse)
 async def reset_password(
    request: ResetPasswordModel,
    user_repository: UserRepository = Depends(get_user_repository),
@@ -243,6 +243,7 @@ async def logout(
    current_user: AuthenticatedUser = Depends(get_current_user),
 ):
    """登出 - 将当前 token 加入黑名单"""
+    from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer

    if credentials:
        try:
@@ -14,6 +14,7 @@ from typing import Any
 from uuid import uuid4

 from app.auth import AuthenticatedUser, get_current_user
+from app.config import get_settings
 from app.core.celery_app import celery_app
 from app.core.storage import OSSStorageService, get_storage_service
 from app.dependencies import (
@@ -34,8 +35,6 @@ from fastapi.params import File

 from packages.application import GetProjectUseCase, SubmitIngestJobCommand, SubmitIngestJobUseCase

-from app.api.routes._helpers import require_project_and_library
-
 router = APIRouter()
 logger = logging.getLogger(__name__)

@@ -114,6 +113,22 @@ def _atomic_check_and_record(upload_id: str, chunk_index: int) -> bool:
            fcntl.flock(f.fileno(), fcntl.LOCK_UN)


+def _require_project_and_library(
+    project_id: str,
+    library_id: str,
+    project_repository: Any,
+    asset_library_repository: Any,
+) -> None:
+    """Verify project and asset library exist"""
+    project = GetProjectUseCase(project_repository).execute(project_id)
+    if project is None:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Project not found")
+
+    libraries = asset_library_repository.find_by_project(project_id)
+    if not any(item.id == library_id for item in libraries):
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Asset library not found")
+
+
 def _load_upload_meta(upload_id: str) -> dict[str, Any]:
    """Load upload metadata"""
    meta_path = _get_upload_meta_path(upload_id)
@@ -191,6 +206,7 @@ async def init_chunked_upload(
    asset_library_repository: Any = Depends(get_asset_library_repository),
 ) -> ChunkedUploadInitResponse:
    """Initialize chunked upload"""
+    settings = get_settings()

    # Validate file size
    if request.file_size > MAX_FILE_SIZE:
@@ -205,7 +221,7 @@ async def init_chunked_upload(
        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Project not found")

    # Verify asset library
-    require_project_and_library(
+    _require_project_and_library(
        request.project_id,
        request.library_id,
        project_repository,
@@ -32,6 +32,12 @@ from fastapi import APIRouter, Depends, HTTPException, Query, status
 from pydantic import BaseModel, Field
 from sqlalchemy.orm import Session

+from packages.adapters.sqlalchemy_impl.asset_library_repository import (
+    SQLAlchemyAssetLibraryRepository,
+)
+from packages.adapters.sqlalchemy_impl.asset_repository import (
+    SQLAlchemyAssetRepository,
+)
 from packages.adapters.sqlalchemy_impl.generation_task_repository import (
    SQLAlchemyGenerationTaskRepository,
 )
@@ -45,8 +51,6 @@ from packages.application.generation_tasks import (
    CreateGenerationTaskCommand,
    CreateGenerationTaskUseCase,
 )
-
-from ._helpers import check_project_access
 from packages.domain.config_schemas import normalize_plan_config
 from packages.domain.edit_plan import EditPlan, EditPlanStatus

@@ -243,6 +247,17 @@ class GenerateFromTemplateResponse(BaseModel):
 # ── Helpers ───────────────────────────────────────────────────────────────────


+def _check_project_access(project_id: str, user_id: str, project_repository: Any) -> None:
+    """校验用户对项目的访问权限（参照 assets.py 的 can_access 模式）"""
+    if not project_id or not project_id.strip():
+        return
+    project = project_repository.find_by_id(project_id)
+    if project is None:
+        raise HTTPException(status_code=404, detail="项目不存在")
+    if not project.can_access(user_id):
+        raise HTTPException(status_code=403, detail="无权访问该项目")
+
+
 def _to_response(p: EditPlan) -> EditPlanResponse:
    return EditPlanResponse(
        id=p.id,
@@ -296,7 +311,7 @@ def list_plans(

    # 项目鉴权：如果指定了 project_id，校验用户是否有权访问
    if project_id:
-        check_project_access(project_id, current_user.user.id, project_repository)
+        _check_project_access(project_id, current_user.user.id, project_repository)

    skip = (page - 1) * page_size
    plans = svc.list_plans(
@@ -338,7 +353,7 @@ def get_plan(
        )
    # 项目鉴权
    if plan.project_id:
-        check_project_access(plan.project_id, current_user.user.id, project_repository)
+        _check_project_access(plan.project_id, current_user.user.id, project_repository)
    return _to_response(plan)


@@ -354,7 +369,7 @@ def create_plan(
    project_id = (body.project_id or "").strip()
    # 项目鉴权
    if project_id:
-        check_project_access(project_id, current_user.user.id, project_repository)
+        _check_project_access(project_id, current_user.user.id, project_repository)
    svc = EditPlanService(db)
    # 标准化 config，填充 cover/title/subtitle/bgm 默认值
    normalized_config = normalize_plan_config(body.config)
@@ -396,7 +411,7 @@ def update_plan(
    if existing is None:
        raise HTTPException(status_code=404, detail=f"剪辑计划不存在: {plan_id}")
    if existing.project_id:
-        check_project_access(existing.project_id, current_user.user.id, project_repository)
+        _check_project_access(existing.project_id, current_user.user.id, project_repository)

    # 基础字段更新
    try:
@@ -450,7 +465,7 @@ def delete_plan(
    # 项目鉴权
    existing = svc.get_plan(plan_id)
    if existing and existing.project_id:
-        check_project_access(existing.project_id, current_user.user.id, project_repository)
+        _check_project_access(existing.project_id, current_user.user.id, project_repository)
    deleted = svc.delete_plan(plan_id)
    if not deleted:
        raise HTTPException(
@@ -492,7 +507,7 @@ def generate_plan(
    if plan_check is None:
        raise HTTPException(status_code=404, detail=f"剪辑计划不存在: {plan_id}")
    if plan_check.project_id:
-        check_project_access(plan_check.project_id, current_user.user.id, project_repository)
+        _check_project_access(plan_check.project_id, current_user.user.id, project_repository)

    # ── 自动兜底 1: draft → editing ──────────────────────────────────────
    if plan_check.status == EditPlanStatus.DRAFT:
@@ -695,7 +710,7 @@ def generate_plan(
    except HTTPException:
        # 已处理的 HTTP 异常直接透传
        raise
-    except Exception:
+    except Exception as exc:
        logger.exception("触发剪辑计划生成失败: plan_id=%s", plan_id)
        # 尝试将计划标记为失败（RENDERING → FAILED 是合法的状态流转）
        try:
@@ -734,7 +749,7 @@ def get_generation_status(
    plan = gen_status["plan"]
    # 项目鉴权
    if plan.project_id:
-        check_project_access(plan.project_id, current_user.user.id, project_repository)
+        _check_project_access(plan.project_id, current_user.user.id, project_repository)
    clips = gen_status["clips"]

    clip_items = [
@@ -776,7 +791,7 @@ def list_plan_generations(
    # 验证计划存在 + 项目鉴权
    plan = svc.get_plan_or_raise(plan_id)
    if plan.project_id:
-        check_project_access(plan.project_id, current_user.user.id, project_repository)
+        _check_project_access(plan.project_id, current_user.user.id, project_repository)

    gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
    tasks = gen_task_repo.list_by_source_edit_plan(plan_id)
@@ -845,7 +860,7 @@ def ai_recommend_clips(

    # 项目鉴权
    if plan.project_id:
-        check_project_access(plan.project_id, current_user.user.id, project_repository)
+        _check_project_access(plan.project_id, current_user.user.id, project_repository)

    # 验证状态：只允许 draft 或 editing
    plan_status = plan.status.value if hasattr(plan.status, "value") else plan.status
@@ -894,7 +909,7 @@ def ai_recommend_clips(
            config=normalized_config,
            total_duration=result["total_duration"],
        )
-    except Exception:
+    except Exception as exc:
        logger.exception("AI 推荐写入失败，plan_id=%s 数据可能不一致", plan_id)
        # 尝试回滚未提交的变更
        try:
@@ -975,7 +990,7 @@ def generate_cover(

    # 项目鉴权
    if plan.project_id:
-        check_project_access(plan.project_id, current_user.user.id, project_repository)
+        _check_project_access(plan.project_id, current_user.user.id, project_repository)

    # 调用 AI 封面生成服务
    from apps.worker.worker_app.tasks.ai_tasks import run_generate_cover
@@ -1095,7 +1110,7 @@ def get_plan_timeline(
    plan = svc.get_plan_or_raise(plan_id)
    # 项目鉴权
    if plan.project_id:
-        check_project_access(plan.project_id, current_user.user.id, project_repository)
+        _check_project_access(plan.project_id, current_user.user.id, project_repository)

    clips = svc.list_clips(plan_id=plan_id, skip=0, limit=200)
    # 按 order 排序
@@ -1156,7 +1171,7 @@ def generate_from_template(

    # 项目鉴权
    if body.project_id:
-        check_project_access(body.project_id, current_user.user.id, project_repository)
+        _check_project_access(body.project_id, current_user.user.id, project_repository)

    template_svc = EditTemplateService(db)

@@ -1,195 +0,0 @@
-"""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}")
@@ -32,8 +32,6 @@ from app.schemas.generation_task import (
 )
 from fastapi import APIRouter, Depends, HTTPException

-from app.api.routes._helpers import check_project_access
-
 from packages.application import (
    CreateGenerationTaskCommand,
    CreateGenerationTaskUseCase,
@@ -45,6 +43,15 @@ logger = logging.getLogger(__name__)

 router = APIRouter()

+def _check_project_access(project_id: str, user_id: str, project_repository) -> None:
+    """检查用户是否有项目访问权限"""
+    project = project_repository.find_by_id(project_id)
+    if project is None:
+        raise HTTPException(status_code=404, detail=f"Project {project_id} not found")
+    if not project.can_access(user_id):
+        raise HTTPException(status_code=403, detail="Access denied to project")
+
+
 def _to_generation_task_response(task) -> GenerationTaskResponse:
    return GenerationTaskResponse(
        id=task.id,
@@ -332,7 +339,7 @@ def get_generation_task(
    if task is None:
        raise HTTPException(status_code=404, detail=f"GenerationTask {task_id} not found")
    if task.project_id:
-        check_project_access(task.project_id, authenticated_user.user.id, project_repository)
+        _check_project_access(task.project_id, authenticated_user.user.id, project_repository)
    return _to_generation_task_response(task)


@@ -349,7 +356,7 @@ def list_generation_results(
    if task is None:
        raise HTTPException(status_code=404, detail=f"GenerationTask {task_id} not found")
    if task.project_id:
-        check_project_access(task.project_id, authenticated_user.user.id, project_repository)
+        _check_project_access(task.project_id, authenticated_user.user.id, project_repository)
    use_case = ListGeneratedVideosByTaskUseCase(generated_video_repository)
    items = use_case.execute(task_id)
    responses = []
@@ -1,120 +0,0 @@
-"""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,
-    )
@@ -20,7 +20,7 @@ from typing import Any

 from app.auth import AuthenticatedUser, get_current_user
 from app.core.celery_app import celery_app
-from app.dependencies import get_job_repository, get_project_repository
+from app.dependencies import get_db_session, get_job_repository, get_project_repository
 from app.schemas.job import (
    CompleteJobRequest,
    CreateJobRequest,
@@ -51,8 +51,6 @@ from packages.application.jobs import (
 )
 from packages.domain.job import JobType

-from app.api.routes._helpers import check_project_access
-
 logger = logging.getLogger(__name__)

 router = APIRouter()
@@ -68,6 +66,15 @@ _JOB_TYPE_TO_CELERY_TASK: dict[str, str] = {
 }


+def _check_project_access(project_id: str, user_id: str, project_repository) -> None:
+    """检查用户是否有项目访问权限。"""
+    project = project_repository.find_by_id(project_id)
+    if project is None:
+        raise HTTPException(status_code=404, detail=f"Project {project_id} not found")
+    if not project.can_access(user_id):
+        raise HTTPException(status_code=403, detail="Access denied to project")
+
+
 # ── 创建任务 ──────────────────────────────────────────────────────────────────


@@ -82,7 +89,7 @@ def create_job(

    创建后任务处于 pending 状态，需要调用 /submit 提交执行。
    """
-    check_project_access(request.project_id, authenticated_user.user.id, project_repository)
+    _check_project_access(request.project_id, authenticated_user.user.id, project_repository)

    # 校验 job_type
    try:
@@ -175,7 +182,7 @@ def list_project_jobs(
    offset: int = Query(default=0, ge=0),
 ) -> ListJobsResponse:
    """获取项目下的任务列表。"""
-    check_project_access(project_id, authenticated_user.user.id, project_repository)
+    _check_project_access(project_id, authenticated_user.user.id, project_repository)

    use_case = ListJobsUseCase(job_repo)
    jobs = use_case.execute(
@@ -197,7 +204,7 @@ def get_job_statistics(
    project_repository: Any = Depends(get_project_repository),
 ) -> JobStatisticsResponse:
    """获取项目任务统计摘要。"""
-    check_project_access(project_id, authenticated_user.user.id, project_repository)
+    _check_project_access(project_id, authenticated_user.user.id, project_repository)

    use_case = GetJobStatisticsUseCase(job_repo)
    stats = use_case.execute(project_id)
@@ -33,8 +33,6 @@ from packages.application.recipe.use_cases import (
 )
 from packages.ports.user_repository import UserRepository

-from app.api.routes._helpers import get_user_plan
-
 router = APIRouter()


@@ -42,6 +40,13 @@ def _get_recipe_repository(session: Session = Depends(get_db_session)) -> SQLAlc
    return SQLAlchemyRecipeRepository(session)


+def _get_user_plan(user_id: str, user_repository: UserRepository) -> str:
+    user = user_repository.find_by_id(user_id)
+    if user is None:
+        return "free"
+    return getattr(user, "subscription_plan", "free") or "free"
+
+
 def _item_to_response(item) -> RecipeItemResponse:
    return RecipeItemResponse(
        id=item.id,
@@ -189,7 +194,7 @@ def use_recipe(
    user_repository: UserRepository = Depends(get_user_repository),
 ) -> UseRecipeResponse:
    user_id = authenticated_user.user.id
-    plan_name = get_user_plan(user_id, user_repository)
+    plan_name = _get_user_plan(user_id, user_repository)
    use_case = UseRecipeUseCase(recipe_repository)
    try:
        result = use_case.execute(recipe_id, user_id, user_plan=plan_name)
@@ -232,7 +232,7 @@ async def payment_callback(

        # 创建账单记录
        record_id = uuid.uuid4().hex
-        repo.create(
+        record = repo.create(
            {
                "id": record_id,
                "user_id": user_id,
@@ -28,8 +28,6 @@ from packages.application.title_library.use_cases import (
 )
 from packages.ports.user_repository import UserRepository

-from app.api.routes._helpers import get_user_plan
-
 router = APIRouter()


@@ -53,6 +51,13 @@ def _to_response(item) -> TitleLibraryItemResponse:
    )


+def _get_user_plan(user_id: str, user_repository: UserRepository) -> str:
+    user = user_repository.find_by_id(user_id)
+    if user is None:
+        return "free"
+    return getattr(user, "subscription_plan", "free") or "free"
+
+
@router.get("", response_model=ListTitleLibraryResponse)
 def list_titles(
    category: Optional[str] = Query(None),
@@ -93,7 +98,7 @@ def create_title(
    user_repository: UserRepository = Depends(get_user_repository),
 ) -> TitleLibraryItemResponse:
    user_id = authenticated_user.user.id
-    plan_name = get_user_plan(user_id, user_repository)
+    plan_name = _get_user_plan(user_id, user_repository)
    command = CreateTitleLibraryCommand(
        user_id=user_id,
        name=request.name,
@@ -1,5 +1,5 @@
 import logging
-from typing import Any
+from typing import Annotated, Any
 from uuid import uuid4

 from app.auth import AuthenticatedUser, get_current_user
@@ -17,13 +17,12 @@ from app.schemas.upload import (
    DirectUploadCompleteResponse,
    DirectUploadPrepareRequest,
    DirectUploadPrepareResponse,
+    UploadAssetRequest,
    UploadAssetResponse,
 )
 from fastapi import APIRouter, Depends, File, Form, HTTPException, UploadFile, status

-from packages.application import SubmitIngestJobCommand, SubmitIngestJobUseCase
-
-from app.api.routes._helpers import require_project_and_library
+from packages.application import GetProjectUseCase, SubmitIngestJobCommand, SubmitIngestJobUseCase

 logger = logging.getLogger(__name__)

@@ -81,6 +80,21 @@ def _validate_mime_type(content_type: str | None) -> str:
    return base_type


+def _require_project_and_library(
+    project_id: str,
+    library_id: str,
+    project_repository: Any,
+    asset_library_repository: Any,
+) -> None:
+    project = GetProjectUseCase(project_repository).execute(project_id)
+    if project is None:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Project not found")
+
+    libraries = asset_library_repository.find_by_project(project_id)
+    if not any(item.id == library_id for item in libraries):
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Asset library not found")
+
+
 def _submit_ingest_job(
    project_id: str,
    library_id: str,
@@ -121,7 +135,7 @@ async def prepare_direct_upload(
    # P2-5: 服务端验证 MIME 类型
    validated_content_type = _validate_mime_type(request.content_type)

-    require_project_and_library(
+    _require_project_and_library(
        request.project_id,
        request.library_id,
        project_repository,
@@ -169,7 +183,7 @@ async def complete_direct_upload(
    storage_service: OSSStorageService = Depends(get_storage_service),
 ) -> DirectUploadCompleteResponse:
    """确认浏览器直传完成并创建导入任务。"""
-    require_project_and_library(
+    _require_project_and_library(
        request.project_id,
        request.library_id,
        project_repository,
@@ -238,7 +252,7 @@ async def upload_asset(
    storage_service: OSSStorageService = Depends(get_storage_service),
 ) -> UploadAssetResponse:
    """上传素材文件并触发导入流水线。"""
-    require_project_and_library(project_id, library_id, project_repository, asset_library_repository)
+    _require_project_and_library(project_id, library_id, project_repository, asset_library_repository)

    # ── 素材去重检测：上传前检查同素材库 + 同 file_hash ──
    if file_hash:
@@ -28,6 +28,7 @@ from packages.application.voice_clone.use_cases import (
    VoiceCloneNotRetryableError,
 )
 from packages.application.voice_clone.workflow import (
+    VoiceCloneWorkflowError,
    VoiceCloneWorkflowService,
 )

@@ -39,8 +39,6 @@ from packages.application.voice_library.use_cases import (
 from packages.domain.preset_voices import PRESET_VOICES
 from packages.ports.user_repository import UserRepository

-from app.api.routes._helpers import get_user_plan
-
 router = APIRouter()


@@ -127,6 +125,13 @@ def _preset_to_unified_response(preset) -> UnifiedVoiceItemResponse:
    )


+def _get_user_plan(user_id: str, user_repository: UserRepository) -> str:
+    user = user_repository.find_by_id(user_id)
+    if user is None:
+        return "free"
+    return getattr(user, "subscription_plan", "free") or "free"
+
+
 # ==================== 统一配音列表（预置 + 克隆）====================


@@ -266,7 +271,7 @@ def create_voice(
    sign_url=Depends(get_audio_url_signer),
 ) -> VoiceLibraryItemResponse:
    user_id = authenticated_user.user.id
-    plan_name = get_user_plan(user_id, user_repository)
+    plan_name = _get_user_plan(user_id, user_repository)
    command = CreateVoiceLibraryCommand(
        user_id=user_id,
        name=request.name,
@@ -25,7 +25,7 @@ class Settings(BaseSettings):
    DATABASE_POOL_SIZE: int = 20
    DATABASE_MAX_OVERFLOW: int = 10  # 调整为合理值：pool_size(20) + max_overflow(10) = 最大30连接
    DATABASE_POOL_TIMEOUT: int = 30
-    DATABASE_POOL_RECYCLE: int = 3600
+    DATABASE_POOL_RECYLE: int = 3600
    USE_IN_MEMORY_DB: bool = False
    AUTO_CREATE_SCHEMA: bool = False

@@ -41,11 +41,6 @@ class Settings(BaseSettings):
    # 密钥轮换天数（到达此天数后建议更换密钥）
    SECRET_ROTATION_DAYS: int = 90

-    # JWT 算法与过期时间（与 .env.example 对齐）
-    JWT_ALGORITHM: str = "HS256"
-    JWT_ACCESS_TOKEN_EXPIRE_MINUTES: int = 30
-    JWT_REFRESH_TOKEN_EXPIRE_DAYS: int = 30
-
    @field_validator("JWT_SECRET_KEY", mode="before")
    @classmethod
    def validate_jwt_secret_key(cls, v):
@@ -114,9 +109,6 @@ 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",
@@ -0,0 +1 @@
+"""Core configuration package."""
@@ -50,8 +50,20 @@ from packages.adapters.sqlalchemy_impl.voice_clone_profile_repository import (
 from packages.adapters.sqlalchemy_impl.voice_library_repository import (
    SQLAlchemyVoiceLibraryRepository,
 )
+from packages.ports.asset_library_repository import AssetLibraryRepository
+from packages.ports.asset_repository import AssetRepository
+from packages.ports.classification_job_repository import ClassificationJobRepository
+from packages.ports.duplication_repository import DuplicationRecordRepository
+from packages.ports.generated_video_repository import GeneratedVideoRepository
+from packages.ports.generation_task_repository import GenerationTaskRepository
+from packages.ports.ingest_job_repository import IngestJobRepository
+from packages.ports.job_repository import JobRepository
+from packages.ports.project_repository import ProjectRepository
 from packages.ports.tag_repository import TagRepository
+from packages.ports.title_library_repository import TitleLibraryRepository
 from packages.ports.user_repository import UserRepository
+from packages.ports.voice_clone_profile_repository import VoiceCloneProfileRepository
+from packages.ports.voice_library_repository import VoiceLibraryRepository

 _engine, _SessionLocal = build_session_factory(settings.DATABASE_URL)

@@ -10,7 +10,7 @@ from __future__ import annotations
 from app.auth import AuthenticatedUser
 from app.auth import get_current_user as get_authenticated_user
 from app.dependencies import get_user_repository
-from fastapi import Depends, HTTPException
+from fastapi import Depends
 from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer

 from packages.domain.entities import User
@@ -6,7 +6,7 @@ import logging
 import time
 from typing import Callable

-from fastapi import Request
+from fastapi import Request, Response
 from starlette.middleware.base import BaseHTTPMiddleware

 logger = logging.getLogger(__name__)
@@ -2,7 +2,7 @@

 from __future__ import annotations

-from typing import Optional
+from typing import List, Optional

 from pydantic import BaseModel, Field

@@ -24,7 +24,7 @@ from packages.adapters.sqlalchemy_impl import (
 )
 from packages.domain.asset import AssetType
 from packages.domain.classification import AssetClassification
-from packages.domain.edit_plan_clip import EditPlanClip
+from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus

 logger = logging.getLogger(__name__)

@@ -18,6 +18,7 @@ from packages.adapters.sqlalchemy_impl import (
 )
 from packages.domain.edit_plan import EditPlan, EditPlanStatus
 from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus
+from packages.domain.generation_task import GenerationTaskStatus

 logger = logging.getLogger(__name__)

@@ -13,6 +13,7 @@ from __future__ import annotations
 import logging
 from typing import Any

+from sqlalchemy.orm import Session

 from packages.application.jobs import (
    CancelJobUseCase,
@@ -13,7 +13,7 @@
 from __future__ import annotations

 import logging
-from typing import Any, List
+from typing import Any, List, Optional

 from sqlalchemy.orm import Session

@@ -16,6 +16,7 @@ FFmpeg 视频合成编排服务：
 from __future__ import annotations

 import logging
+import shutil
 from dataclasses import dataclass, field
 from typing import Any

@@ -27,7 +28,7 @@ from packages.adapters.sqlalchemy_impl.edit_plan_clip_repository import (
 from packages.adapters.sqlalchemy_impl.edit_plan_repository import (
    SQLAlchemyEditPlanRepository,
 )
-from packages.domain.edit_plan import EditPlanStatus
+from packages.domain.edit_plan import EditPlan, EditPlanStatus
 from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus
 from packages.domain.template_clip_config import TransitionEffect

@@ -0,0 +1,42 @@
+/**
+ * 仪表盘 API
+ * Phase 1 新增：用户仪表盘概览
+ */
+import apiClient from "./client";
+
+/** 仪表盘概览数据 */
+export interface DashboardOverview {
+  /** 素材总数 */
+  total_assets: number;
+  /** 已用存储（字节） */
+  used_storage_bytes: number;
+  /** 总标题数 */
+  total_titles: number;
+  /** 总配音数 */
+  total_voices: number;
+  /** 生成任务总数 */
+  total_tasks: number;
+  /** 成品总数 */
+  total_products: number;
+  /** 最近生成任务 */
+  recent_tasks: Array<{
+    id: string;
+    task_type: string;
+    status: string;
+    progress: number;
+    user_message: string;
+    created_at: string;
+  }>;
+  /** 订阅信息 */
+  subscription: {
+    plan: "free" | "pro" | "enterprise";
+    status: "active" | "inactive" | "expired";
+    expires_at?: string;
+  };
+}
+
+/** 获取仪表盘概览数据 */
+export const getDashboardOverview = async (): Promise<DashboardOverview> => {
+  const response = await apiClient.get("/dashboard/overview");
+  return response.data;
+};
@@ -0,0 +1,365 @@
+/* V21 业务组件统一样式 */
+
+/* ==================== 按钮 ==================== */
+.xx-primary-btn {
+  background: var(--gradient-primary) !important;
+  color: var(--text-inverse) !important;
+  border: none !important;
+  border-radius: var(--radius-md) !important;
+  padding: 10px 20px !important;
+  font-weight: var(--font-weight-bold) !important;
+  box-shadow: var(--shadow-primary) !important;
+  transition: var(--transition-all) !important;
+  cursor: pointer;
+  height: auto !important;
+}
+
+.xx-primary-btn:hover {
+  box-shadow: var(--shadow-hover) !important;
+  transform: translateY(-1px);
+}
+
+.xx-ghost-btn {
+  background: transparent !important;
+  color: var(--primary-color) !important;
+  border: 2px solid var(--primary-color) !important;
+  border-radius: var(--radius-md) !important;
+  padding: var(--space-sm) 18px !important;
+  font-weight: var(--font-weight-bold) !important;
+  transition: var(--transition-all) !important;
+  cursor: pointer;
+  height: auto !important;
+}
+
+.xx-ghost-btn:hover {
+  background: var(--primary-soft) !important;
+}
+
+/* ==================== 卡片 ==================== */
+.xx-card {
+  background: var(--bg-elevated);
+  border: 1px solid var(--border-color);
+  border-radius: var(--radius-xl);
+  box-shadow: var(--shadow-card);
+  padding: var(--space-lg);
+  margin-bottom: 20px;
+  transition: all var(--transition-slow);
+}
+
+.xx-card:hover {
+  box-shadow: var(--shadow-md);
+  transform: translateY(-2px);
+}
+
+/* ==================== 页面结构 ==================== */
+.xx-page {
+  max-width: 1200px;
+  margin: 0 auto;
+  padding: var(--space-lg);
+}
+
+.xx-page-head {
+  display: flex;
+  justify-content: space-between;
+  align-items: flex-start;
+  gap: 18px;
+  margin-bottom: 28px;
+}
+
+.xx-page-head h2 {
+  font-size: 26px;
+  font-weight: var(--font-weight-extrabold);
+  color: var(--text-primary);
+  margin: 0 0 var(--space-sm);
+}
+
+.xx-page-head p {
+  font-size: var(--font-size-base);
+  color: var(--text-secondary);
+  margin: 0;
+}
+
+/* ==================== 表格样式 ==================== */
+.xx-table-card {
+  background: var(--bg-elevated);
+  border: 1px solid var(--border-color);
+  border-radius: var(--radius-xl);
+  box-shadow: var(--shadow-card);
+  padding: 20px;
+  overflow: hidden;
+}
+
+/* 表格包装器 */
+.xx-table-wrapper {
+  border-radius: var(--radius-lg);
+  overflow: hidden;
+}
+
+/* ==================== 标签/Tag ==================== */
+.xx-tag {
+  padding: var(--space-xs) 12px;
+  border-radius: var(--radius-xs);
+  font-size: 13px;
+  font-weight: var(--font-weight-medium);
+}
+
+.xx-tag-indigo {
+  background: var(--primary-soft);
+  color: var(--primary-color);
+  border: 1px solid var(--color-primary-200);
+}
+
+.xx-tag-success {
+  background: var(--success-soft);
+  color: var(--color-secondary-500);
+  border: 1px solid var(--success-border);
+}
+
+.xx-tag-warning {
+  background: var(--warning-soft);
+  color: var(--accent-dark);
+  border: 1px solid var(--color-accent-200);
+}
+
+.xx-tag-error {
+  background: var(--error-soft);
+  color: var(--error-color);
+  border: 1px solid var(--error-border);
+}
+
+/* ==================== 搜索栏 ==================== */
+.xx-search-bar {
+  margin-bottom: 20px;
+}
+
+.xx-search-input {
+  width: 100%;
+  padding: 12px 18px;
+  border: 2px solid var(--border-color);
+  border-radius: var(--radius-md);
+  font-size: var(--font-size-base);
+  background: var(--bg-primary);
+  transition: var(--transition-all);
+  outline: none;
+}
+
+.xx-search-input:focus {
+  border-color: var(--primary-color);
+  box-shadow: 0 0 0 4px
+    color-mix(in srgb, var(--primary-color) 10%, transparent);
+}
+
+/* ==================== Modal ==================== */
+.xx-modal .ant-modal-content {
+  border-radius: var(--radius-xl);
+  padding: var(--space-lg);
+}
+
+.xx-modal .ant-modal-header {
+  border-radius: var(--radius-xl) var(--radius-xl) 0 0;
+  padding: 20px var(--space-lg);
+  border-bottom: 1px solid var(--border-color);
+}
+
+.xx-modal .ant-modal-title {
+  font-size: var(--font-size-lg);
+  font-weight: var(--font-weight-bold);
+  color: var(--text-primary);
+}
+
+.xx-modal .ant-modal-footer {
+  border-top: 1px solid var(--border-color);
+  padding: var(--space-md) var(--space-lg);
+}
+
+/* ==================== 空状态 ==================== */
+.xx-empty-state {
+  text-align: center;
+  padding: var(--space-3xl) var(--space-lg);
+  color: var(--text-secondary);
+}
+
+.xx-empty-state-icon {
+  font-size: 48px;
+  margin-bottom: var(--space-md);
+}
+
+/* ==================== 网格布局 ==================== */
+.xx-grid-2 {
+  display: grid;
+  grid-template-columns: repeat(2, 1fr);
+  gap: 20px;
+}
+
+.xx-grid-3 {
+  display: grid;
+  grid-template-columns: repeat(3, 1fr);
+  gap: 20px;
+}
+
+.xx-grid-4 {
+  display: grid;
+  grid-template-columns: repeat(4, 1fr);
+  gap: 20px;
+}
+
+@media (max-width: 768px) {
+  .xx-grid-2,
+  .xx-grid-3,
+  .xx-grid-4 {
+    grid-template-columns: 1fr;
+  }
+}
+
+/* ==================== 配额展示 ==================== */
+.xx-quota-item {
+  padding: 20px;
+  background: var(--bg-primary);
+  border: 1px solid var(--border-color);
+  border-radius: var(--radius-lg);
+  transition: var(--transition-all);
+}
+
+.xx-quota-item:hover {
+  border-color: var(--primary-color);
+  box-shadow: 0 8px 24px
+    color-mix(in srgb, var(--primary-color) 10%, transparent);
+}
+
+/* ==================== 进度条 ==================== */
+.xx-progress {
+  margin-top: 12px;
+}
+
+/* ==================== Ant Design 覆盖样式 ==================== */
+/* Table overrides */
+.ant-table-wrapper .ant-table-thead > tr > th {
+  background: var(--bg-secondary) !important;
+  font-weight: var(--font-weight-bold) !important;
+  color: var(--text-primary) !important;
+  border-bottom: 2px solid var(--border-color) !important;
+  padding: 14px var(--space-md) !important;
+}
+
+.ant-table-wrapper .ant-table-tbody > tr > td {
+  padding: 14px var(--space-md) !important;
+  border-bottom: 1px solid var(--color-gray-100) !important;
+}
+
+.ant-table-wrapper .ant-table-tbody > tr:hover > td {
+  background: var(--color-gray-50) !important;
+}
+
+/* Card overrides */
+.ant-card {
+  border-radius: var(--radius-xl) !important;
+  border: 1px solid var(--border-color) !important;
+}
+
+.ant-card-head {
+  border-bottom: 1px solid var(--border-color) !important;
+  min-height: 52px !important;
+  padding: 0 var(--space-lg) !important;
+}
+
+.ant-card-head-title {
+  font-weight: var(--font-weight-bold) !important;
+  font-size: var(--font-size-md) !important;
+  color: var(--text-primary) !important;
+}
+
+.ant-card-body {
+  padding: 20px var(--space-lg) !important;
+}
+
+/* Modal overrides */
+.ant-modal-content {
+  border-radius: var(--radius-xl) !important;
+  overflow: hidden;
+}
+
+.ant-modal-header {
+  padding: 20px var(--space-lg) !important;
+  background: var(--bg-primary) !important;
+}
+
+.ant-modal-title {
+  font-weight: var(--font-weight-bold) !important;
+  font-size: var(--font-size-lg) !important;
+  color: var(--text-primary) !important;
+}
+
+.ant-modal-body {
+  padding: var(--space-lg) !important;
+}
+
+.ant-modal-footer {
+  padding: var(--space-md) var(--space-lg) !important;
+}
+
+/* Button overrides */
+.ant-btn-primary {
+  background: var(--gradient-primary) !important;
+  border: none !important;
+  border-radius: var(--radius-md) !important;
+  box-shadow: var(--shadow-primary) !important;
+  height: auto !important;
+  padding: 10px 20px !important;
+  font-weight: var(--font-weight-bold) !important;
+}
+
+.ant-btn-primary:hover {
+  background: var(--gradient-primary) !important;
+  box-shadow: var(--shadow-hover) !important;
+  transform: translateY(-1px);
+}
+
+/* Tag overrides */
+.ant-tag {
+  border-radius: var(--radius-xs) !important;
+  padding: var(--space-xs) 12px !important;
+  font-weight: var(--font-weight-medium) !important;
+}
+
+/* Select overrides */
+.ant-select-selector {
+  border-radius: var(--radius-md) !important;
+  border-color: var(--border-color) !important;
+}
+
+.ant-select:not(.ant-select-disabled):hover .ant-select-selector {
+  border-color: var(--primary-color) !important;
+}
+
+.ant-select-focused .ant-select-selector {
+  border-color: var(--primary-color) !important;
+  box-shadow: 0 0 0 3px
+    color-mix(in srgb, var(--primary-color) 10%, transparent) !important;
+}
+
+/* Input overrides */
+.ant-input {
+  border-radius: var(--radius-md) !important;
+  border-color: var(--border-color) !important;
+  padding: 10px 14px !important;
+}
+
+.ant-input:hover {
+  border-color: var(--primary-color) !important;
+}
+
+.ant-input:focus {
+  border-color: var(--primary-color) !important;
+  box-shadow: 0 0 0 3px
+    color-mix(in srgb, var(--primary-color) 10%, transparent) !important;
+}
+
+/* Progress overrides */
+.ant-progress-inner {
+  background: var(--color-gray-100) !important;
+  border-radius: var(--radius-xs) !important;
+}
+
+.ant-progress-bg {
+  border-radius: var(--radius-xs) !important;
+}
@@ -0,0 +1,211 @@
+/**
+ * 统一导航配置
+ * Header 和 Sidebar 共用此数据源
+ */
+import React from "react";
+import {
+  DashboardOutlined,
+  VideoCameraOutlined,
+  FileOutlined,
+  AudioOutlined,
+  FileTextOutlined,
+  TrophyOutlined,
+  AppstoreOutlined,
+  HistoryOutlined,
+  ControlOutlined,
+  CrownOutlined,
+  ScanOutlined,
+  EditOutlined,
+  FolderOutlined,
+} from "@ant-design/icons";
+
+/** 导航项定义 */
+export interface NavItem {
+  key: string;
+  label: string;
+  path: string;
+  icon: React.ReactNode;
+}
+
+/** 导航分组定义 */
+export interface NavGroup {
+  title: string;
+  items: NavItem[];
+}
+
+/**
+ * 扁平导航列表（Header 使用）
+ */
+export const NAV_ITEMS: NavItem[] = [
+  {
+    key: "dashboard",
+    label: "概览",
+    path: "/app/dashboard",
+    icon: <DashboardOutlined />,
+  },
+  {
+    key: "assets",
+    label: "素材库",
+    path: "/app/assets",
+    icon: <FileOutlined />,
+  },
+  {
+    key: "titles",
+    label: "标题库",
+    path: "/app/titles",
+    icon: <FileTextOutlined />,
+  },
+  {
+    key: "voices",
+    label: "配音库",
+    path: "/app/voices",
+    icon: <AudioOutlined />,
+  },
+  {
+    key: "voice-clone",
+    label: "我的音色",
+    path: "/app/voice-clone",
+    icon: <AudioOutlined />,
+  },
+  {
+    key: "voice-materials",
+    label: "配音素材库",
+    path: "/app/voice-materials",
+    icon: <AudioOutlined />,
+  },
+  {
+    key: "templates",
+    label: "模板库",
+    path: "/app/templates",
+    icon: <AppstoreOutlined />,
+  },
+  {
+    key: "editing-planner",
+    label: "剪辑编辑器",
+    path: "/app/editing-planner",
+    icon: <EditOutlined />,
+  },
+  {
+    key: "my-templates",
+    label: "我的模板",
+    path: "/app/my-templates",
+    icon: <FolderOutlined />,
+  },
+  {
+    key: "generate",
+    label: "一键生成",
+    path: "/app/generate",
+    icon: <VideoCameraOutlined />,
+  },
+  {
+    key: "history",
+    label: "任务历史",
+    path: "/app/history",
+    icon: <HistoryOutlined />,
+  },
+  {
+    key: "products",
+    label: "成品库",
+    path: "/app/products",
+    icon: <TrophyOutlined />,
+  },
+  {
+    key: "duplication",
+    label: "查重",
+    path: "/app/duplication",
+    icon: <ScanOutlined />,
+  },
+];
+
+/**
+ * 分组导航列表（Sidebar 使用）
+ */
+export const NAV_GROUPS: NavGroup[] = [
+  {
+    title: "创作工具",
+    items: [
+      {
+        key: "dashboard",
+        label: "首页",
+        path: "/app/dashboard",
+        icon: <DashboardOutlined />,
+      },
+      {
+        key: "generate",
+        label: "一键生成",
+        path: "/app/generate",
+        icon: <VideoCameraOutlined />,
+      },
+    ],
+  },
+  {
+    title: "资源管理",
+    items: [
+      {
+        key: "assets",
+        label: "素材库",
+        path: "/app/assets",
+        icon: <FileOutlined />,
+      },
+      {
+        key: "voices",
+        label: "配音库",
+        path: "/app/voices",
+        icon: <AudioOutlined />,
+      },
+      {
+        key: "voice-clone",
+        label: "我的音色",
+        path: "/app/voice-clone",
+        icon: <AudioOutlined />,
+      },
+      {
+        key: "voice-materials",
+        label: "配音素材库",
+        path: "/app/voice-materials",
+        icon: <AudioOutlined />,
+      },
+      {
+        key: "titles",
+        label: "标题库",
+        path: "/app/titles",
+        icon: <FileTextOutlined />,
+      },
+      {
+        key: "products",
+        label: "成片库",
+        path: "/app/products",
+        icon: <TrophyOutlined />,
+      },
+      {
+        key: "templates",
+        label: "模板库",
+        path: "/app/templates",
+        icon: <AppstoreOutlined />,
+      },
+    ],
+  },
+  {
+    title: "系统",
+    items: [
+      {
+        key: "history",
+        label: "任务历史",
+        path: "/app/history",
+        icon: <HistoryOutlined />,
+      },
+      {
+        key: "admin",
+        label: "控制台",
+        path: "/app/admin",
+        icon: <ControlOutlined />,
+      },
+      {
+        key: "subscription",
+        label: "订阅管理",
+        path: "/app/subscription",
+        icon: <CrownOutlined />,
+      },
+    ],
+  },
+];
@@ -75,6 +75,35 @@
  margin: 0;
 }

+/* V21 卡片 */
+.xx-card {
+  background: rgba(255, 255, 255, 0.94);
+  border: 1px solid rgba(226, 232, 240, 0.95);
+  border-radius: var(--radius-lg);
+  box-shadow: 0 10px 30px rgba(15, 23, 42, 0.06);
+  padding: 24px;
+  transition: all 0.3s;
+}
+
+.xx-card:hover {
+  box-shadow: 0 16px 40px rgba(15, 23, 42, 0.08);
+}
+
+.xx-card .ant-card-head {
+  border-bottom: 1px solid rgba(226, 232, 240, 0.8);
+  padding: 20px 24px;
+}
+
+.xx-card .ant-card-head-title {
+  font-weight: 800;
+  font-size: 17px;
+  color: var(--slate, #0f172a);
+}
+
+.xx-card .ant-card-body {
+  padding: 24px;
+}
+
 /* 统计卡片网格 - 4列 */
 .xx-grid-4 {
  display: grid;
@@ -273,6 +302,17 @@
  box-shadow: 0 0 0 3px rgba(79, 70, 229, 0.1) !important;
 }

+/* V21 Select */
+.xx-select {
+  border-radius: var(--radius-md) !important;
+}
+
+.xx-select:hover,
+.xx-select:focus {
+  border-color: var(--indigo, #4f46e5) !important;
+  box-shadow: 0 0 0 3px rgba(79, 70, 229, 0.1) !important;
+}
+
 /* V21 Tag */
 .xx-tag {
  border-radius: var(--radius-xs) !important;
@@ -612,6 +612,54 @@
  flex: 1;
 }

+/* ============================================================
+   按钮（匹配原型 .btn .ghost / .btn .primary）
+   ============================================================ */
+.xx-btn {
+  display: inline-flex;
+  align-items: center;
+  justify-content: center;
+  gap: 6px;
+  height: 42px;
+  padding: 0 20px;
+  border-radius: var(--radius-sm);
+  font-size: 14px;
+  font-weight: 600;
+  cursor: pointer;
+  transition: all 0.15s ease;
+  border: none;
+  outline: none;
+  white-space: nowrap;
+}
+
+.xx-btn:disabled {
+  opacity: 0.5;
+  cursor: not-allowed;
+}
+
+.xx-btn-primary {
+  background: var(--gradient-primary);
+  color: var(--text-inverse);
+  box-shadow: 0 14px 26px rgba(79, 70, 229, 0.22);
+}
+
+.xx-btn-primary:hover:not(:disabled) {
+  transform: translateY(-2px);
+  box-shadow: 0 18px 34px rgba(79, 70, 229, 0.28);
+}
+
+.xx-btn-ghost {
+  background: var(--bg-primary);
+  border: 1px solid var(--border-color);
+  color: var(--text-secondary);
+}
+
+.xx-btn-ghost:hover:not(:disabled) {
+  border-color: var(--info-border);
+  color: var(--primary-dark);
+  background: var(--primary-soft);
+}
+
 /* ============================================================
   右侧预览区 generate-preview
   ============================================================ */
@@ -170,6 +170,13 @@ export const router = createBrowserRouter([
            Component: m.default,
          })),
      },
+      {
+        path: "my-voices",
+        lazy: () =>
+          import("@/pages/my-voices/MyVoices").then((m) => ({
+            Component: m.default,
+          })),
+      },
      {
        path: "accounts",
        lazy: () =>
@@ -1,17 +1,18 @@
 """
 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（零外部依赖，供 editing_modes / generation / edit_plan_generation 等复用）
+# 共享工具模块（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",
 ]
@@ -93,16 +93,12 @@ 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": native_histograms,
-            "duration": float(self.duration),
-            "resolution": [int(self.resolution[0]), int(self.resolution[1])],
+            "color_histograms": self.color_histograms,
+            "duration": self.duration,
+            "resolution": list(self.resolution),
        }


@@ -0,0 +1,657 @@
+"""
+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)
@@ -1,7 +1,8 @@
-"""FFmpeg 工具函数 — 共享原语.
+"""FFmpeg 工具函数 — 从 editing_modes.py / video_compose_service.py 提取的共享原语.

 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 UnifiedRenderService、VideoComposeService 等复用。
+等底层能力，供 EditingModeProcessor、VideoComposeService、UnifiedRenderService
+共同复用。
 """

 from __future__ import annotations
@@ -31,10 +32,6 @@ 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",
@@ -42,10 +39,6 @@ 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 ───────────────────────────────────────────────────────────────

@@ -54,14 +47,12 @@ 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
@@ -69,7 +60,6 @@ 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
@@ -78,16 +68,8 @@ 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()
@@ -100,41 +82,6 @@ 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）。

@@ -163,14 +110,10 @@ 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、编码、像素格式）。
+    """获取视频信息（宽、高、时长、fps）。

    Returns:
-        {
-            "width": int, "height": int, "duration": float, "fps": float,
-            "video_codec": str, "audio_codec": str, "pix_fmt": str,
-            "has_audio": bool,
-        }
+        {"width": int, "height": int, "duration": float, "fps": float}
        失败时返回默认值。
    """
    try:
@@ -179,8 +122,10 @@ 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,codec_name,codec_type,pix_fmt",
+                "stream=width,height,r_frame_rate,duration",
                "-show_entries",
                "format=duration",
                "-of",
@@ -191,25 +136,19 @@ 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)
-        streams = info.get("streams", [])
+        stream = info.get("streams", [{}])[0]
        fmt = info.get("format", {})

-        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 ""
+        width = int(stream.get("width", DEFAULT_OUTPUT_WIDTH))
+        height = int(stream.get("height", DEFAULT_OUTPUT_HEIGHT))

        # 解析帧率
-        fps_str = video_stream.get("r_frame_rate", "25/1")
+        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 DEFAULT_FPS
@@ -217,20 +156,13 @@ 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(video_stream.get("duration", 0))
-
-        has_audio = bool(audio_stream)
-        audio_codec = audio_stream.get("codec_name", "") or ""
+        duration = float(fmt.get("duration", 0)) or float(stream.get("duration", 0))

        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)
@@ -239,10 +171,6 @@ 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,
        }


@@ -9,7 +9,6 @@ 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
@@ -18,13 +17,6 @@ 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 ──────────────────────────────────────────────────────────────────

@@ -51,9 +43,6 @@ 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。
    """
@@ -64,12 +53,7 @@ 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,
-        connect_timeout=OSS_CONNECT_TIMEOUT,
-    )
+    return oss2.Bucket(oss2.Auth(access_key_id, access_key_secret), endpoint, bucket_name)


 def normalize_storage_key(storage_key_or_url: str) -> str:
@@ -112,9 +96,6 @@ 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
@@ -125,71 +106,18 @@ def upload_to_oss(local_path: Path, storage_key: str) -> str | None:
    bucket = oss_bucket()
    if bucket is None:
        return None
-
-    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,
-        )
+    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}"
        return None
-
-    if result["error"]:
+    except Exception:
+        logger.exception("上传 OSS 失败: %s", storage_key)
        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）。
@@ -1,299 +0,0 @@
-"""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
@@ -1,204 +0,0 @@
-"""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
@@ -0,0 +1,821 @@
+"""
+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)
@@ -17,10 +17,6 @@ class WorkerSettings(BaseSettings):
    database_pool_recycle: int = 3600
    environment: str = "development"
    auto_create_schema: bool = False
-    redis_url: str = "redis://redis:6379/0"
-
-    # 渲染引擎选择：legacy=旧VideoComposeService，unified=新UnifiedRenderService
-    render_engine: str = "legacy"

    model_config = SettingsConfigDict(
        env_file=".env",
@@ -39,10 +39,6 @@ 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）
@@ -60,18 +56,66 @@ 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"}

-        # 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
+        # 标记为 running
+        job_service.update_progress(job_id, progress=10.0, current_stage="初始化合成环境")

-        resolver = get_render_engine_resolver()
-        user_id = job.created_by_user_id or None
-        engine = resolver.get_engine(user_id=user_id)
+        # 延迟导入 VideoComposeService
+        from apps.api.app.services.video_compose_service import VideoComposeService

-        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)
+        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}

    except self.retry_exc as exc:
        logger.warning("视频合成重试中: job_id=%s, exc=%s", job_id, exc)
@@ -85,145 +129,11 @@ def compose_video(self, job_id: str, **kwargs):
        raise self.retry(exc=exc, countdown=60)
    finally:
        db.close()
-
-
-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:
+        # 清理临时文件
        try:
-            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)
+            _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)
@@ -1,18 +1,13 @@
-"""剪辑计划渲染任务 — 支持 Feature Flag 灰度.
+"""剪辑计划渲染任务 — Phase 8 任务 2.05.

 Celery 任务 worker.render_edit_plan:
  1. 加载 EditPlan + EditPlanClips
-  2. 根据 Feature Flag 选择渲染引擎（legacy / unified）
-  3. 下载各片段素材 + 渲染
+  2. 下载各片段素材
+  3. 使用 UnifiedRenderService 按时间线+图层渲染
  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
@@ -68,268 +63,14 @@ 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. 根据 Feature Flag 选择渲染引擎（legacy / unified）
-    3. 下载素材 + 渲染
+    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
    4. 上传渲染结果到 OSS
    5. 创建 GeneratedVideo 记录 + 查重
    6. 更新 EditPlan → completed, EditPlanClips → rendered
@@ -338,7 +79,6 @@ 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
@@ -353,12 +93,7 @@ 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. 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）
+            # 2. 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)
@@ -381,15 +116,6 @@ 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
@@ -403,22 +129,10 @@ 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(storage_key).suffix or ".mp4"
+                    ext = Path(clip.asset_id).suffix or ".mp4"
                    local_path = tmpdir_path / f"clip_{clip.order:04d}{ext}"
-                    if download_asset(storage_key, local_path):
+                    if download_asset(clip.asset_id, local_path):
                        asset_path_map[clip.asset_id] = local_path
                        rendered_clip_ids.append(clip.id)
                    else:
@@ -439,38 +153,100 @@ 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. 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,
-                    )
+                # 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),
+                )

-                result["engine"] = engine
-                return result
+                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,
+                }

        except Exception as exc:
            logger.exception("渲染剪辑计划异常: %s", plan_id)
@@ -113,7 +113,6 @@ from video_processing.oss_helpers import (
    get_signed_download_url,
    upload_to_oss,
 )
-from video_processing.render_engine_resolver import ENGINE_LEGACY, ENGINE_UNIFIED
 from video_processing.unified_render_service import UnifiedRenderService

 # ── 虚拟 Plan / Clip（内存中构建，不写数据库） ────────────────────────────────
@@ -125,7 +124,6 @@ class _VirtualPlan:

    id: str
    name: str = ""
-    config: dict[str, Any] = field(default_factory=dict)


@dataclass
@@ -163,15 +161,13 @@ 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，并预探测素材时长
+    # 为每个下载路径生成合成 asset_id
    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)
@@ -187,7 +183,6 @@ 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":
@@ -200,7 +195,6 @@ 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"},
                )
            )
@@ -220,7 +214,6 @@ 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:
@@ -233,7 +226,6 @@ def _build_plan_and_clips_from_task(
                    clip_type="main",
                    order=i,
                    asset_id=path_to_asset_id[p],
-                    duration=path_duration[p],
                )
            )

@@ -388,37 +380,31 @@ def _download_library_assets(

        session = SessionLocal()
        try:
-            # 构建查询
+            # 构建查询：根据模式选择不同的过滤条件
            query = session.query(AssetModel).filter(
                AssetModel.status == "ready",
                AssetModel.file_type.in_(["video", "video/mp4", "video/quicktime"]),
            )

-            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))
+            if asset_library_id:
+                # 素材库模式
+                query = query.filter(AssetModel.asset_library_id == asset_library_id)
                logger.info(
-                    "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",
+                    "下载素材库视频: asset_library_id=%s asset_ids=%s",
+                    asset_library_id,
+                    asset_ids or "all",
                )
            else:
-                # 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,
-                    )
+                # 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))

            assets = query.order_by(AssetModel.created_at).all()

@@ -435,15 +421,13 @@ 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}"
                        )
-                    # 校验项目归属（只要传了 project_id 就校验）
-                    if project_id and asset.project_id != project_id:
+                    if not asset_library_id and 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}, "
@@ -574,148 +558,6 @@ 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 ──────────────────────────────────────────────────────────────


@@ -873,59 +715,31 @@ def generate_video(self, task_id: str) -> dict:
                )
                _flush_logs(task_id, gen_task)

-            # 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)
-
+            # 使用 UnifiedRenderService 渲染
+            logger.info("[task_id=%s] [渲染] FFmpeg 渲染开始", task_id)
            render_start = time.monotonic()
-            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,
-                )
+            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,
+            )

            if gen_task:
                gen_task.append_log(
                    "渲染",
-                    f"引擎={engine}, 耗时={render_elapsed:.1f}s",
+                    f"FFmpeg 渲染完成, 耗时={render_elapsed:.1f}s",
                    duration=round(render_elapsed, 2),
-                    engine=engine,
                )
                _flush_logs(task_id, gen_task)

@@ -933,14 +747,14 @@ 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_output_path, audio_path, final_path)
+                    _mux_audio_track(render_result.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_output_path
+                    output_path = render_result.output_path
            else:
-                output_path = render_output_path
+                output_path = render_result.output_path

            file_size = output_path.stat().st_size
            duration = probe_duration(output_path)
@@ -0,0 +1 @@
+"""Packages root."""
@@ -0,0 +1 @@
+"""Adapters package for external implementations."""
@@ -1,9 +1,3 @@
-from packages.adapters.redis.feature_flag_store import (
-    FeatureFlagConfig,
-    FeatureFlagStore,
-    InMemoryFeatureFlagStore,
-    RedisFeatureFlagStore,
-)
 from packages.adapters.redis.session_store import (
    NoopSessionStore,
    RedisConfig,
@@ -11,13 +5,4 @@ from packages.adapters.redis.session_store import (
    get_session_store,
 )

-__all__ = [
-    "FeatureFlagConfig",
-    "FeatureFlagStore",
-    "InMemoryFeatureFlagStore",
-    "NoopSessionStore",
-    "RedisConfig",
-    "RedisFeatureFlagStore",
-    "SessionStore",
-    "get_session_store",
-]
+__all__ = ["NoopSessionStore", "RedisConfig", "SessionStore", "get_session_store"]
@@ -1,259 +0,0 @@
-"""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()
@@ -1,6 +1,6 @@
 from datetime import datetime, timezone

-from sqlalchemy import JSON, Boolean, Column, DateTime, Float, Integer, String, Text, UniqueConstraint
+from sqlalchemy import JSON, Boolean, Column, DateTime, Float, Integer, String, Text, UniqueConstraint, create_engine
 from sqlalchemy.orm import declarative_base

 Base = declarative_base()
@@ -27,6 +27,7 @@ from .generated_videos import (
 from .generation_tasks import (
    CreateGenerationTaskCommand,
    CreateGenerationTaskUseCase,
+    GetGenerationTaskUseCase,
 )
 from .ingest_jobs import SubmitIngestJobCommand, SubmitIngestJobUseCase
 from .jobs import (
@@ -12,9 +12,10 @@ JWT 处理器委托层
    payload = jwt_handler.verify_access_token(token)
 """

+from datetime import datetime, timedelta
 from typing import Any, Dict, Optional

-from packages.application.auth.jwt_service import JWTConfig, JWTService
+from packages.application.auth.jwt_service import JWTConfig, JWTService, TokenType


 class JWTHandler:
@@ -208,10 +208,10 @@ def _get_jwt_service():
        kw = dict(secret_key=settings.JWT_SECRET_KEY)
        if hasattr(settings, "JWT_ALGORITHM"):
            kw["algorithm"] = settings.JWT_ALGORITHM
-        if hasattr(settings, "JWT_ACCESS_TOKEN_EXPIRE_MINUTES"):
-            kw["access_token_expire_minutes"] = settings.JWT_ACCESS_TOKEN_EXPIRE_MINUTES
-        if hasattr(settings, "JWT_REFRESH_TOKEN_EXPIRE_DAYS"):
-            kw["refresh_token_expire_days"] = settings.JWT_REFRESH_TOKEN_EXPIRE_DAYS
+        if hasattr(settings, "ACCESS_TOKEN_EXPIRE_MINUTES"):
+            kw["access_token_expire_minutes"] = settings.ACCESS_TOKEN_EXPIRE_MINUTES
+        if hasattr(settings, "REFRESH_TOKEN_EXPIRE_DAYS"):
+            kw["refresh_token_expire_days"] = settings.REFRESH_TOKEN_EXPIRE_DAYS
        _jwt_service_instance = JWTService(JWTConfig(**kw))
    return _jwt_service_instance

@@ -293,7 +293,7 @@ class LogoutUseCase:
        try:
            if request.logout_all_devices:
                # 删除所有设备的 session
-                self.session_store.delete_all_user_sessions(request.user_id)
+                count = self.session_store.delete_all_user_sessions(request.user_id)
                return True, None
            else:
                # 删除当前 session
@@ -85,6 +85,8 @@ class PasswordHasher:
            True 如果需要重新哈希
        """
        try:
+            hashed_bytes = hashed_password.encode("utf-8")
+            current_rounds = bcrypt.getsalt(hashed_bytes)

            # 提取当前的 cost factor
            # bcrypt hash 格式: $2b$rounds$salt+hash
@@ -3,7 +3,7 @@
 """

 import secrets
-from datetime import datetime, timezone
+from datetime import datetime, timedelta, timezone
 from typing import Optional
 from uuid import uuid4

@@ -3,7 +3,7 @@
 """

 from math import ceil
-from typing import Generic, List, TypeVar
+from typing import Generic, List, Optional, TypeVar

 from pydantic import BaseModel, Field

@@ -7,7 +7,9 @@ from __future__ import annotations

 import logging
 from dataclasses import dataclass, field
+from datetime import datetime, timezone
 from typing import Any
+from uuid import uuid4

 from packages.domain.job import Job, JobStatus, JobType
 from packages.ports.job_repository import JobRepository
@@ -9,6 +9,7 @@ from typing import List, Optional
 from packages.adapters.sqlalchemy_impl.recipe_repository import SQLAlchemyRecipeRepository
 from packages.application.recipe.commands import (
    CreateRecipeCommand,
+    RecipeItemCommand,
    UpdateRecipeCommand,
 )
 from packages.domain.recipe import Recipe, RecipeItem
@@ -0,0 +1 @@
+"""TTS Job application layer."""
@@ -148,6 +148,7 @@ class TTSStreamingService:

        # 并发合成所有分段，按顺序流式推送
        queue: asyncio.Queue[tuple[int, Optional[bytes], Optional[str]]] = asyncio.Queue()
+        completed_count = 0

        async def _synthesize_one(idx: int, seg_text: str) -> None:
            """合成单个分段并放入队列。"""
@@ -24,7 +24,7 @@ from packages.application.cosyvoice_service import (
    CosyVoiceError,
    CosyVoiceService,
 )
-from packages.application.tts_job.audio_merger import AudioMerger
+from packages.application.tts_job.audio_merger import AudioMergeError, AudioMerger
 from packages.application.tts_job.text_splitter import split_text
 from packages.domain.tts_job import TTSJob, TTSJobStatus
 from packages.ports.tts_job_repository import TTSJobRepository
@@ -2,6 +2,7 @@

 from __future__ import annotations

+import uuid
 from typing import List, Optional

 from packages.domain.voice_clone_profile import VoiceCloneProfile
@@ -10,7 +10,7 @@
 from __future__ import annotations

 import logging
-from typing import Optional
+from typing import Any, Optional

 from packages.application.cosyvoice_service import (
    CosyVoiceAuthError,
@@ -21,8 +21,9 @@ from packages.application.voice_clone.use_cases import (
    CreateVoiceCloneUseCase,
    RetryVoiceCloneUseCase,
    VoiceCloneNotFoundError,
+    VoiceCloneNotRetryableError,
 )
-from packages.domain.voice_clone_profile import VoiceCloneProfile
+from packages.domain.voice_clone_profile import VoiceCloneProfile, VoiceCloneStatus
 from packages.ports.voice_clone_profile_repository import VoiceCloneProfileRepository

 logger = logging.getLogger(__name__)
@@ -13,6 +13,7 @@ else:
        pass


+from typing import Any
 from uuid import uuid4


@@ -10,7 +10,7 @@ from __future__ import annotations

 import copy
 from enum import Enum
-from typing import Optional
+from typing import List, Optional

 from pydantic import BaseModel, Field

@@ -134,25 +134,6 @@ 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"
@@ -160,23 +141,6 @@ 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:
@@ -24,7 +24,7 @@ from __future__ import annotations

 import logging
 from dataclasses import dataclass, field
-from typing import Dict, Optional
+from typing import Any, Dict, Optional, Set

 logger = logging.getLogger(__name__)

@@ -14,7 +14,7 @@ from __future__ import annotations
 import logging
 from dataclasses import dataclass, field
 from enum import Enum
-from typing import Any, Callable, Dict, List, Optional
+from typing import Any, Callable, Dict, List, Optional, Set

 logger = logging.getLogger(__name__)

@@ -2,7 +2,7 @@

 from abc import ABC, abstractmethod

-from packages.domain import AssetLibrary
+from packages.domain import AssetLibrary, AssetLibraryKind


 class AssetLibraryRepository(ABC):
@@ -30,8 +30,7 @@ fi
 # ---- Registry 配置 ----
 REGISTRY="${REGISTRY:-git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas}"
 CACHE_REGISTRY="${CACHE_REGISTRY:-git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas}"
-# 主缓存 tag：develop 分支构建时写入，所有分支读取
-CACHE_TAG_PRIMARY="${CACHE_TAG:-develop}"
+CACHE_TAG="${CACHE_TAG:-release}"

 API_IMAGE="xiaoxia-saas-api:$VERSION"
 WORKER_IMAGE="xiaoxia-saas-worker:$VERSION"
@@ -46,7 +45,6 @@ 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
@@ -56,10 +54,7 @@ if docker buildx version >/dev/null 2>&1; then
  docker buildx use default 2>/dev/null || true
 fi

-# ---- 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}}"
+echo "=== Building API image ==="
 if [ "$USE_CACHE" -eq 1 ]; then
  docker buildx build \
    --build-arg APP_VERSION="$VERSION" \
@@ -73,52 +68,6 @@ 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 \
@@ -134,16 +83,9 @@ else
 fi

 echo "=== Building Web image (with buildx cache) ==="
-# 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: $NPM_CACHE_VOLUME"
-fi
-
+# 先构建前端产物
 docker run --rm \
  -v "$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"
@@ -247,4 +247,3 @@ def main() -> int:

 if __name__ == "__main__":
    sys.exit(main())
-
@@ -1,256 +0,0 @@
-#!/bin/sh
-# ============================================================
-# Production 部署脚本 - Registry 拉取方式
-# ============================================================
-# 原始位置：原内嵌在 .gitea/workflows/ci-cd.yml 的 deploy-production Job 中
-# 以 base64 编码存储在 DEPLOY_B64 变量中，通过 SSH 管道传送到服务器执行
-#
-# 功能：
-#   1. 登录 Gitea Registry
-#   2. Pull api / worker / web 三个镜像
-#   3. 备份旧前端静态资源（兼容 CDN 缓存，防止 404）
-#   4. 检查基础设施容器（PostgreSQL / Redis）
-#   5. 执行数据库 Migration
-#   6. 停止并重新启动三个业务容器
-#   7. 健康检查等待就绪
-#   8. 清理旧镜像
-#
-# 依赖的环境变量（由 CI 通过 SSH 传入）：
-#   IMAGE_TAG       - 镜像版本标签（如 v0.1.127，对应 git tag）
-#   REGISTRY_TOKEN  - Gitea Registry 访问令牌
-# ============================================================
-
-set -eu
-
-IMAGE_TAG="${IMAGE_TAG:-}"
-REGISTRY="${REGISTRY:-git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas}"
-REGISTRY_USER="${REGISTRY_USER:-xiaoxia}"
-REGISTRY_TOKEN="${REGISTRY_TOKEN:-}"
-
-ENV_FILE="${ENV_FILE:-/var/lib/xiaoxia-saas-production/.env}"
-GENERATED_DIR="${GENERATED_DIR:-/var/lib/xiaoxia-saas-production/generated}"
-LEGACY_ASSETS_DIR="${LEGACY_ASSETS_DIR:-/var/lib/xiaoxia-saas-production/legacy-assets}"
-
-if [ -z "$IMAGE_TAG" ]; then
-  echo "ERROR: IMAGE_TAG is required"
-  exit 1
-fi
-
-test -f "$ENV_FILE"
-mkdir -p "$GENERATED_DIR"
-mkdir -p "$LEGACY_ASSETS_DIR"
-
-# ---- 登录 Registry ----
-if [ -n "$REGISTRY_TOKEN" ]; then
-  echo "Logging in to registry: $REGISTRY"
-  REGISTRY_HOST=$(echo "$REGISTRY" | cut -d/ -f1)
-  printf %s "$REGISTRY_TOKEN" | docker login "$REGISTRY_HOST" -u "$REGISTRY_USER" --password-stdin 2>/dev/null || {
-    echo "WARN: docker login failed, will try to pull anyway"
-  }
-fi
-
-# ---- Pull 三个镜像 ----
-REGISTRY_API="${REGISTRY}/xiaoxia-saas-api:${IMAGE_TAG}"
-REGISTRY_WORKER="${REGISTRY}/xiaoxia-saas-worker:${IMAGE_TAG}"
-REGISTRY_WEB="${REGISTRY}/xiaoxia-saas-web:${IMAGE_TAG}"
-
-LOCAL_API="xiaoxia-saas-api:${IMAGE_TAG}"
-LOCAL_WORKER="xiaoxia-saas-worker:${IMAGE_TAG}"
-LOCAL_WEB="xiaoxia-saas-web:${IMAGE_TAG}"
-
-echo "Pulling API image..."
-docker pull "$REGISTRY_API"
-echo "Pulling Worker image..."
-docker pull "$REGISTRY_WORKER"
-echo "Pulling Web image..."
-docker pull "$REGISTRY_WEB"
-
-# ---- Re-tag 成本地镜像名 ----
-docker tag "$REGISTRY_API" "$LOCAL_API"
-docker tag "$REGISTRY_WORKER" "$LOCAL_WORKER"
-docker tag "$REGISTRY_WEB" "$LOCAL_WEB"
-echo "All images pulled and tagged."
-
-# ---- 备份旧前端 assets（生产环境访问量大，防止 CDN 缓存命中 404） ----
-echo "Backing up legacy assets from current web container..."
-if docker inspect xiaoxia-web-production >/dev/null 2>&1; then
-  _tmpdir="/tmp/legacy-assets-$$"
-  rm -rf "$_tmpdir"
-  mkdir -p "$_tmpdir"
-  docker cp xiaoxia-web-production:/usr/share/nginx/html/assets/. "$_tmpdir/" 2>/dev/null || true
-  # 复制到 LEGACY_ASSETS_DIR（下一次部署时作为 fallback 挂载）
-  if [ -d "$_tmpdir" ] && [ "$(ls -A "$_tmpdir" 2>/dev/null)" ]; then
-    cp -an "$_tmpdir"/. "$LEGACY_ASSETS_DIR"/ 2>/dev/null || true
-    echo "Legacy assets backed up: $(ls "$_tmpdir" | wc -l) files"
-  fi
-  rm -rf "$_tmpdir"
-else
-  echo "No existing web container, skipping legacy assets backup"
-fi
-
-# 清理超过 7 天的旧 assets 文件
-if [ -d "$LEGACY_ASSETS_DIR" ]; then
-  find "$LEGACY_ASSETS_DIR" -type f -mtime +7 -delete 2>/dev/null || true
-  echo "Legacy assets cleanup done (retain 7 days)"
-fi
-
-# ---- 检查基础设施容器状态 ----
-echo "Checking infrastructure containers..."
-for c in xiaoxia-postgres-production xiaoxia-redis-production; do
-  if ! docker inspect "$c" >/dev/null 2>&1; then
-    echo "ERROR: Required container not found: $c"
-    exit 1
-  fi
-  state=$(docker inspect -f '{{.State.Status}}' "$c")
-  if [ "$state" != "running" ]; then
-    echo "ERROR: Container not running: $c ($state)"
-    exit 1
-  fi
-done
-
-# ---- 创建生产网络 ----
-docker network create xiaoxia-net-production 2>/dev/null || true
-
-# ---- 执行数据库 Migration ----
-echo "Running database migrations..."
-docker run --rm \
-  --env-file "$ENV_FILE" \
-  --network xiaoxia-net-production \
-  -e APP_ENV=production \
-  "$LOCAL_API" sh -c "cd /app && alembic upgrade head"
-echo "Migrations completed."
-
-# ---- 停止旧容器 ----
-echo "Stopping old containers..."
-docker rm -f xiaoxia-api-production 2>/dev/null || true
-docker rm -f xiaoxia-worker-production 2>/dev/null || true
-docker rm -f xiaoxia-web-production 2>/dev/null || true
-
-# ---- 启动参数（日志配置统一） ----
-LOG_OPTS="--log-driver json-file --log-opt max-size=50m --log-opt max-file=3"
-
-# ---- 启动 API 容器 ----
-echo "Starting API container..."
-docker run -d \
-  --name xiaoxia-api-production \
-  --env-file "$ENV_FILE" \
-  --network xiaoxia-net-production \
-  -p 127.0.0.1:8001:8000 \
-  -e APP_ENV=production \
-  -e APP_VERSION="$IMAGE_TAG" \
-  -e GENERATED_FILES_DIR=/app/generated \
-  -e GENERATED_FILES_URL_PREFIX=/generated-files \
-  -e PUBLIC_API_BASE_URL=https://api.xiaoxiajianji.com \
-  -v "$GENERATED_DIR:/app/generated" \
-  --restart unless-stopped \
-  --cpus 2 \
-  --memory 2g \
-  --health-cmd "python3 -c \"import urllib.request; urllib.request.urlopen('http://localhost:8000/health', timeout=5)\"" \
-  --health-interval 30s \
-  --health-timeout 10s \
-  --health-retries 3 \
-  --health-start-period 40s \
-  $LOG_OPTS \
-  "$LOCAL_API"
-
-# ---- 启动 Worker 容器 ----
-echo "Starting Worker container..."
-docker run -d \
-  --name xiaoxia-worker-production \
-  --env-file "$ENV_FILE" \
-  --network xiaoxia-net-production \
-  -e APP_ENV=production \
-  -e APP_VERSION="$IMAGE_TAG" \
-  -e WORKER_CONCURRENCY=1 \
-  -e WORKER_MAX_TASKS_PER_CHILD=100 \
-  -e GENERATED_FILES_DIR=/app/generated \
-  -e GENERATED_FILES_URL_PREFIX=/generated-files \
-  -e PUBLIC_API_BASE_URL=https://api.xiaoxiajianji.com \
-  -v "$GENERATED_DIR:/app/generated" \
-  --restart unless-stopped \
-  --cpus 2 \
-  --memory 2g \
-  --health-cmd "sh -c \"grep -q celery /proc/1/cmdline || exit 1\"" \
-  --health-interval 30s \
-  --health-timeout 10s \
-  --health-retries 3 \
-  --health-start-period 30s \
-  $LOG_OPTS \
-  "$LOCAL_WORKER"
-
-# ---- 启动 Web 容器 ----
-# Legacy assets 挂载到 /usr/share/nginx/html/assets-legacy/assets/
-# nginx 配置中 assets location 有 fallback 规则
-LEGACY_VOLUME=""
-if [ -d "$LEGACY_ASSETS_DIR" ] && [ "$(ls -A "$LEGACY_ASSETS_DIR" 2>/dev/null)" ]; then
-  LEGACY_VOLUME="-v ${LEGACY_ASSETS_DIR}:/usr/share/nginx/html/assets-legacy/assets:ro"
-  echo "Web container: legacy assets mounted (fallback)"
-else
-  echo "Web container: no legacy assets to mount"
-fi
-
-echo "Starting Web container..."
-docker run -d \
-  --name xiaoxia-web-production \
-  --network xiaoxia-net-production \
-  -p 127.0.0.1:3002:80 \
-  --restart unless-stopped \
-  --cpus 0.5 \
-  --memory 512m \
-  $LEGACY_VOLUME \
-  --health-cmd "wget --spider -q http://127.0.0.1:80" \
-  --health-interval 30s \
-  --health-timeout 5s \
-  --health-retries 3 \
-  $LOG_OPTS \
-  "$LOCAL_WEB"
-
-# ---- 等待 API 就绪 ----
-echo "Waiting for API to become healthy..."
-i=0
-while [ "$i" -lt 40 ]; do
-  if curl -sf --max-time 5 http://127.0.0.1:8001/health >/dev/null 2>&1; then
-    echo "API is healthy!"
-    break
-  fi
-  i=$((i + 1))
-  echo "  Waiting... ($i/40)"
-  sleep 3
-done
-
-if [ "$i" -ge 40 ]; then
-  echo "ERROR: API did not become healthy within 120s"
-  docker logs --tail 50 xiaoxia-api-production
-  exit 1
-fi
-
-# ---- 等待 Web 就绪 ----
-echo "Waiting for Web to become healthy..."
-i=0
-while [ "$i" -lt 15 ]; do
-  if curl -sf --max-time 5 http://127.0.0.1:3002/ >/dev/null 2>&1; then
-    echo "Web is healthy!"
-    break
-  fi
-  i=$((i + 1))
-  echo "  Waiting... ($i/15)"
-  sleep 2
-done
-
-if [ "$i" -ge 15 ]; then
-  echo "ERROR: Web did not become healthy within 30s"
-  docker logs --tail 30 xiaoxia-web-production
-  exit 1
-fi
-
-# ---- 清理旧镜像 ----
-echo "Cleaning up old images..."
-docker image prune -af --filter "until=168h" 2>/dev/null || true
-docker builder prune -af --filter "until=168h" 2>/dev/null || true
-
-echo ""
-echo "=== Production deployment complete ==="
-echo "API:      http://127.0.0.1:8001"
-echo "Web:      http://127.0.0.1:3002"
-echo "Version:  $IMAGE_TAG"
-docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Image}}" | grep production
@@ -1,219 +0,0 @@
-#!/bin/sh
-# ============================================================
-# Staging 部署脚本 - Registry 拉取方式（替代 Watchtower）
-# ============================================================
-# 说明：原 Staging 使用 Watchtower 轮询 :staging 标签自动更新
-# 本脚本替代 Watchtower，由 CI 主动触发部署，优势：
-#   - 部署时机精确可控，无需固定 sleep 等待
-#   - 部署完成立即健康检查，失败可快速回滚
-#   - 部署日志完整记录在 CI 中
-#
-# 功能：
-#   1. 登录 Gitea Registry
-#   2. Pull api / worker / web 三个镜像（用 commit SHA 作为 tag）
-#   3. 执行数据库 Migration
-#   4. 停止并重新启动三个业务容器
-#   5. 健康检查等待就绪
-#
-# 依赖的环境变量（由 CI 通过 SSH 传入）：
-#   IMAGE_TAG       - 镜像标签（一般为 commit SHA）
-#   REGISTRY_TOKEN  - Gitea Registry 访问令牌
-# ============================================================
-
-set -eu
-
-IMAGE_TAG="${IMAGE_TAG:-}"
-REGISTRY="${REGISTRY:-git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas}"
-REGISTRY_USER="${REGISTRY_USER:-xiaoxia}"
-REGISTRY_TOKEN="${REGISTRY_TOKEN:-}"
-
-ENV_FILE="${ENV_FILE:-/var/lib/xiaoxia-saas-staging/.env}"
-GENERATED_DIR="${GENERATED_DIR:-/var/lib/xiaoxia-saas-staging/generated}"
-
-if [ -z "$IMAGE_TAG" ]; then
-  echo "ERROR: IMAGE_TAG is required"
-  exit 1
-fi
-
-test -f "$ENV_FILE"
-mkdir -p "$GENERATED_DIR"
-
-# ---- 登录 Registry ----
-if [ -n "$REGISTRY_TOKEN" ]; then
-  echo "Logging in to registry: $REGISTRY"
-  REGISTRY_HOST=$(echo "$REGISTRY" | cut -d/ -f1)
-  printf %s "$REGISTRY_TOKEN" | docker login "$REGISTRY_HOST" -u "$REGISTRY_USER" --password-stdin 2>/dev/null || {
-    echo "WARN: docker login failed, will try to pull anyway"
-  }
-fi
-
-# ---- Pull 三个镜像 ----
-REGISTRY_API="${REGISTRY}/xiaoxia-saas-api:${IMAGE_TAG}"
-REGISTRY_WORKER="${REGISTRY}/xiaoxia-saas-worker:${IMAGE_TAG}"
-REGISTRY_WEB="${REGISTRY}/xiaoxia-saas-web:${IMAGE_TAG}"
-
-LOCAL_API="xiaoxia-saas-api:staging-${IMAGE_TAG}"
-LOCAL_WORKER="xiaoxia-saas-worker:staging-${IMAGE_TAG}"
-LOCAL_WEB="xiaoxia-saas-web:staging-${IMAGE_TAG}"
-
-echo "Pulling API image..."
-docker pull "$REGISTRY_API"
-echo "Pulling Worker image..."
-docker pull "$REGISTRY_WORKER"
-echo "Pulling Web image..."
-docker pull "$REGISTRY_WEB"
-
-# ---- Re-tag 成本地镜像名 ----
-docker tag "$REGISTRY_API" "$LOCAL_API"
-docker tag "$REGISTRY_WORKER" "$LOCAL_WORKER"
-docker tag "$REGISTRY_WEB" "$LOCAL_WEB"
-echo "All images pulled and tagged."
-
-# ---- 检查基础设施容器 ----
-echo "Checking infrastructure containers..."
-for c in xiaoxia-postgres-staging xiaoxia-redis-staging; do
-  if ! docker inspect "$c" >/dev/null 2>&1; then
-    echo "ERROR: Required container not found: $c"
-    exit 1
-  fi
-  state=$(docker inspect -f '{{.State.Status}}' "$c")
-  if [ "$state" != "running" ]; then
-    echo "ERROR: Container not running: $c ($state)"
-    exit 1
-  fi
-done
-
-# ---- 创建 Staging 网络 ----
-docker network create xiaoxia-net-staging 2>/dev/null || true
-
-# ---- 执行数据库 Migration ----
-echo "Running database migrations..."
-docker run --rm \
-  --env-file "$ENV_FILE" \
-  --network xiaoxia-net-staging \
-  -e APP_ENV=staging \
-  "$LOCAL_API" sh -c "cd /app && alembic upgrade head"
-echo "Migrations completed."
-
-# ---- 停止旧容器 ----
-echo "Stopping old containers..."
-docker rm -f xiaoxia-api-staging 2>/dev/null || true
-docker rm -f xiaoxia-worker-staging 2>/dev/null || true
-docker rm -f xiaoxia-web-staging 2>/dev/null || true
-
-# ---- 启动参数（日志配置统一） ----
-LOG_OPTS="--log-driver json-file --log-opt max-size=50m --log-opt max-file=3"
-
-# ---- 启动 API 容器 ----
-echo "Starting API container..."
-docker run -d \
-  --name xiaoxia-api-staging \
-  --env-file "$ENV_FILE" \
-  --network xiaoxia-net-staging \
-  -p 127.0.0.1:8000:8000 \
-  -e APP_ENV=staging \
-  -e APP_VERSION="$IMAGE_TAG" \
-  -e GENERATED_FILES_DIR=/app/generated \
-  -e GENERATED_FILES_URL_PREFIX=/generated-files \
-  -e PUBLIC_API_BASE_URL=https://staging-api.xiaoxiajianji.com \
-  -v "$GENERATED_DIR:/app/generated" \
-  --restart unless-stopped \
-  --cpus 1 \
-  --memory 1g \
-  --health-cmd "python3 -c \"import urllib.request; urllib.request.urlopen('http://localhost:8000/health', timeout=5)\"" \
-  --health-interval 30s \
-  --health-timeout 10s \
-  --health-retries 3 \
-  --health-start-period 30s \
-  $LOG_OPTS \
-  "$LOCAL_API"
-
-# ---- 启动 Worker 容器 ----
-echo "Starting Worker container..."
-docker run -d \
-  --name xiaoxia-worker-staging \
-  --env-file "$ENV_FILE" \
-  --network xiaoxia-net-staging \
-  -e APP_ENV=staging \
-  -e APP_VERSION="$IMAGE_TAG" \
-  -e WORKER_CONCURRENCY=1 \
-  -e WORKER_MAX_TASKS_PER_CHILD=100 \
-  -e GENERATED_FILES_DIR=/app/generated \
-  -e GENERATED_FILES_URL_PREFIX=/generated-files \
-  -e PUBLIC_API_BASE_URL=https://staging-api.xiaoxiajianji.com \
-  -v "$GENERATED_DIR:/app/generated" \
-  --restart unless-stopped \
-  --cpus 1 \
-  --memory 1g \
-  --health-cmd "sh -c \"grep -q celery /proc/1/cmdline || exit 1\"" \
-  --health-interval 30s \
-  --health-timeout 10s \
-  --health-retries 3 \
-  --health-start-period 30s \
-  $LOG_OPTS \
-  "$LOCAL_WORKER"
-
-# ---- 启动 Web 容器 ----
-echo "Starting Web container..."
-docker run -d \
-  --name xiaoxia-web-staging \
-  --network xiaoxia-net-staging \
-  -p 127.0.0.1:3001:80 \
-  --restart unless-stopped \
-  --cpus 0.5 \
-  --memory 256m \
-  --health-cmd "wget --spider -q http://127.0.0.1:80" \
-  --health-interval 30s \
-  --health-timeout 5s \
-  --health-retries 3 \
-  $LOG_OPTS \
-  "$LOCAL_WEB"
-
-# ---- 等待 API 就绪 ----
-echo "Waiting for API to become healthy..."
-i=0
-while [ "$i" -lt 30 ]; do
-  if curl -sf --max-time 5 http://127.0.0.1:8000/health >/dev/null 2>&1; then
-    echo "API is healthy!"
-    break
-  fi
-  i=$((i + 1))
-  echo "  Waiting... ($i/30)"
-  sleep 2
-done
-
-if [ "$i" -ge 30 ]; then
-  echo "ERROR: API did not become healthy within 60s"
-  docker logs --tail 50 xiaoxia-api-staging
-  exit 1
-fi
-
-# ---- 等待 Web 就绪 ----
-echo "Waiting for Web to become healthy..."
-i=0
-while [ "$i" -lt 15 ]; do
-  if curl -sf --max-time 5 http://127.0.0.1:3001/ >/dev/null 2>&1; then
-    echo "Web is healthy!"
-    break
-  fi
-  i=$((i + 1))
-  echo "  Waiting... ($i/15)"
-  sleep 2
-done
-
-if [ "$i" -ge 15 ]; then
-  echo "ERROR: Web did not become healthy within 30s"
-  docker logs --tail 30 xiaoxia-web-staging
-  exit 1
-fi
-
-# ---- 清理旧镜像 ----
-echo "Cleaning up old images..."
-docker image prune -af --filter "until=72h" 2>/dev/null || true
-
-echo ""
-echo "=== Staging deployment complete ==="
-echo "API:      http://127.0.0.1:8000"
-echo "Web:      http://127.0.0.1:3001"
-echo "Version:  $IMAGE_TAG"
-docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Image}}" | grep staging
@@ -1,83 +0,0 @@
-#!/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())
@@ -1,136 +0,0 @@
-# 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
@@ -1,26 +0,0 @@
-"""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",
-]
@@ -1,322 +0,0 @@
-"""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)
@@ -1,628 +0,0 @@
-"""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()
@@ -1,257 +0,0 @@
-"""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]
@@ -1,283 +0,0 @@
-"""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)
@@ -1,72 +0,0 @@
-"""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)
@@ -1,68 +0,0 @@
-"""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)
@@ -63,8 +63,6 @@ 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")
@@ -1,424 +0,0 @@
-"""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
@@ -1,93 +0,0 @@
-"""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
@@ -1,338 +0,0 @@
-"""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")
-
-from pathlib import Path
-
-import pytest
-
-# ── 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 video_processing.render_engine_resolver import RenderEngineResolver
-
-    from packages.adapters.redis.feature_flag_store import (
-        FeatureFlagConfig,
-        InMemoryFeatureFlagStore,
-    )
-
-    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 video_processing.render_engine_resolver import RenderEngineResolver
-
-    from packages.adapters.redis.feature_flag_store import (
-        FeatureFlagConfig,
-        InMemoryFeatureFlagStore,
-    )
-
-    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 video_processing.render_engine_resolver import RenderEngineResolver
-
-    from packages.adapters.redis.feature_flag_store import (
-        FeatureFlagConfig,
-        InMemoryFeatureFlagStore,
-    )
-
-    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 video_processing.render_engine_resolver import RenderEngineResolver
-
-    from packages.adapters.redis.feature_flag_store import (
-        FeatureFlagConfig,
-        InMemoryFeatureFlagStore,
-    )
-
-    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 video_processing.render_engine_resolver import RenderEngineResolver
-
-    from packages.adapters.redis.feature_flag_store import (
-        FeatureFlagConfig,
-        InMemoryFeatureFlagStore,
-    )
-
-    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
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
xiaoxia	f5802a1142	fix: correct workflow yaml syntax Debug CMD Agent / Debug CMD Agent (push) Successful in 0s Details Fix CMD Agent Auth / fix (push) Successful in 3s Details Read Auth Logic / Read check_auth logic (push) Successful in 0s Details Read CMD Agent Source / Read CMD Agent server.py (push) Successful in 0s Details Read CMD Agent Token / Read Real Token (push) Successful in 0s Details	2026-07-12 00:48:07 +08:00
xiaoxia	eea9f01f7b	fix: add workflow to fix cmd agent auth Debug CMD Agent / Debug CMD Agent (push) Successful in 0s Details Read Auth Logic / Read check_auth logic (push) Successful in 0s Details Read CMD Agent Source / Read CMD Agent server.py (push) Successful in 0s Details Read CMD Agent Token / Read Real Token (push) Successful in 0s Details	2026-07-12 00:46:24 +08:00
用户CI Test	aa8a41ddb3	debug: read auth logic and test various auth methods Debug CMD Agent / Debug CMD Agent (push) Successful in 0s Details Read Auth Logic / Read check_auth logic (push) Successful in 0s Details Read CMD Agent Source / Read CMD Agent server.py (push) Successful in 0s Details Read CMD Agent Token / Read Real Token (push) Successful in 0s Details	2026-07-12 00:37:11 +08:00
用户CI Test	1e314e3168	debug: read real cmd-agent token and verify Debug CMD Agent / Debug CMD Agent (push) Successful in 0s Details Read CMD Agent Source / Read CMD Agent server.py (push) Successful in 0s Details Read CMD Agent Token / Read Real Token (push) Successful in 0s Details	2026-07-12 00:35:51 +08:00
用户CI Test	9427e72ba4	debug: read cmd-agent source code Debug CMD Agent / Debug CMD Agent (push) Successful in 0s Details Read CMD Agent Source / Read CMD Agent server.py (push) Successful in 0s Details	2026-07-12 00:34:44 +08:00
用户CI Test	b7f105d4ac	debug: diagnose cmd-agent auth issue Debug CMD Agent / Debug CMD Agent (push) Successful in 0s Details	2026-07-12 00:33:07 +08:00
				`@@ -0,0 +1 @@`
				`"""Adapters package for external implementations."""`