chore(frontend): Phase 1 清理 — 删除死代码和重复样式（-713行）

删除废弃文件:
- src/config/navigation.tsx (211行, 无引用, navigation.ts 为实际使用文件)
- src/components/business/ 目录 (365行, 空壳目录+死CSS)
- src/api/dashboard.ts (42行, 0处导入, Dashboard用硬编码mock)

修复路由:
- 删除 router/index.tsx 重复的 my-voices 路由 (7行)

清理重复CSS:
- generate.css: 删除重复 .xx-btn/.xx-btn-primary/.xx-btn-ghost 定义 (48行, 改用ui.css统一样式)
- Admin.css: 删除重复 .xx-card/.xx-select 定义 (40行, 改用ui.css/global.css统一样式)

构建验证: vite build 通过
预计减少: 713行 (41798 -> 41085)

.env.example

@@ -44,9 +44,14 @@ OSS_ACCESS_KEY_SECRET=your-access-key-secret
 OSS_BUCKET_NAME=xiaoxia-autocut
 
 # ==================== CosyVoice 语音合成配置 ====================
+# 注意：base_url 只需写到 /api/v1，具体路径由代码拼接
+# 模型: cosyvoice-v3-flash (推荐，支持系统音色，性价比高)
+#       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)
 COSYVOICE_API_KEY=your-cosyvoice-api-key
-COSYVOICE_BASE_URL=https://dashscope.aliyuncs.com/api/v1/services/aigc/text2audio
-COSYVOICE_MODEL=cosyvoice-v1
-COSYVOICE_VOICE=longxiaochun
+COSYVOICE_BASE_URL=https://dashscope.aliyuncs.com/api/v1
+COSYVOICE_MODEL=cosyvoice-v3-flash
+COSYVOICE_VOICE=longxiaochun_v3
 COSYVOICE_SAMPLE_RATE=22050
 COSYVOICE_FORMAT=mp3

.env.production.example

@@ -42,10 +42,15 @@ OSS_DIRECT_UPLOAD_MAX_MB=2000
 OSS_DIRECT_UPLOAD_EXPIRE_SECONDS=900
 
 # ==================== CosyVoice 语音合成（必须配置）====================
+# 注意：base_url 只需写到 /api/v1，具体路径由代码拼接
+# 模型: cosyvoice-v3-flash (推荐，支持系统音色，性价比高)
+#       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)
 COSYVOICE_API_KEY=CHANGE_ME_COSYVOICE_API_KEY
-COSYVOICE_BASE_URL=https://dashscope.aliyuncs.com/api/v1/services/aigc/text2audio
-COSYVOICE_MODEL=cosyvoice-v1
-COSYVOICE_VOICE=longxiaochun
+COSYVOICE_BASE_URL=https://dashscope.aliyuncs.com/api/v1
+COSYVOICE_MODEL=cosyvoice-v3-flash
+COSYVOICE_VOICE=longxiaochun_v3
 COSYVOICE_SAMPLE_RATE=22050
 COSYVOICE_FORMAT=mp3
 

.flake8

@@ -2,6 +2,7 @@
 max-line-length = 120
 exclude =
     .git,
+    .cache,
     __pycache__,
     .venv,
     venv,

.gitea/workflows/auto-merge.yml

@@ -1,65 +0,0 @@
-name: Auto Merge PRs
-
-on:
-  schedule:
-    - cron: '0 */6 * * *'
-  workflow_dispatch:
-
-jobs:
-  auto-merge:
-    runs-on: saas
-    timeout-minutes: 10
-    steps:
-      - name: Checkout code
-        shell: sh
-        env:
-          GITHUB_TOKEN: ${{ github.token }}
-        run: |
-          set -eu
-          python3 - <<'PY'
-          import io, os, tarfile, time, urllib.request, urllib.error
-          url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/{os.environ['GITHUB_SHA']}.tar.gz"
-          request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
-          last_err = None
-          for attempt in range(5):
-              try:
-                  with urllib.request.urlopen(request, timeout=120) as response:
-                      archive = response.read()
-                  break
-              except urllib.error.HTTPError as e:
-                  last_err = e
-                  if e.code >= 500 and attempt < 4:
-                      wait = 2 ** attempt
-                      print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
-                      time.sleep(wait)
-                      continue
-                  raise
-              except Exception as e:
-                  last_err = e
-                  if attempt < 4:
-                      wait = 2 ** attempt
-                      print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
-                      time.sleep(wait)
-                      continue
-                  raise
-          else:
-              raise last_err
-          with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
-              top_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
-              for member in tar.getmembers():
-                  name = member.name
-                  if name == top_prefix[:-1]:
-                      continue
-                  if name.startswith(top_prefix):
-                      member.name = name[len(top_prefix):]
-                  if member.name:
-                      tar.extract(member, '.')
-          PY
-
-      - name: Auto merge develop PRs
-        run: |
-          bash scripts/auto_merge_prs.sh develop
-
-      - name: Auto merge main PRs (release only)
-        run: |
-          bash scripts/auto_merge_prs.sh main

.gitea/workflows/ci-cd.yml

@@ -22,7 +22,7 @@ permissions:
 jobs:
   validate:
     name: Validate Code Quality And Tests
-    runs-on: ubuntu-22.04
+    runs-on: host
     timeout-minutes: 10
 
     env:
@@ -80,7 +80,7 @@ jobs:
         shell: sh
         run: |
           set -eu
-          python --version
+          python3 --version
           python3 -m pip --version
           echo "CI environment is ready"
 
@@ -158,13 +158,195 @@ jobs:
             python3 scripts/check_migration_safety.py --allow-medium-risk
           fi
 
-      - name: Run unit tests
+  unit-tests:
+    name: Unit Tests
+    runs-on: host
+    timeout-minutes: 8
+
+    env:
+      USE_IN_MEMORY_DB: "true"
+
+    steps:
+      - name: Checkout code
         shell: sh
         env:
-          USE_IN_MEMORY_DB: "true"
+          GITHUB_TOKEN: ${{ github.token }}
         run: |
           set -eu
-          PYTHONPATH="$PWD/apps/api:$PWD" python3 -m pytest tests/unit -q
+          python3 - <<'PY'
+          import io, os, tarfile, time, urllib.request, urllib.error
+          url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
+          request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
+          last_err = None
+          for attempt in range(5):
+              try:
+                  with urllib.request.urlopen(request, timeout=120) as response:
+                      archive = response.read()
+                  break
+              except urllib.error.HTTPError as e:
+                  last_err = e
+                  if e.code >= 500 and attempt < 4:
+                      wait = 2 ** attempt
+                      print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
+                      time.sleep(wait)
+                      continue
+                  raise
+              except Exception as e:
+                  last_err = e
+                  if attempt < 4:
+                      wait = 2 ** attempt
+                      print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
+                      time.sleep(wait)
+                      continue
+                  raise
+          else:
+              raise last_err
+          with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
+              root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
+              for member in tar.getmembers():
+                  name = member.name
+                  if name == root_prefix[:-1]:
+                      continue
+                  if name.startswith(root_prefix):
+                      member.name = name[len(root_prefix):]
+                  if member.name:
+                      tar.extract(member, '.')
+          PY
+
+      - name: Install dependencies
+        shell: sh
+        run: |
+          set -eu
+          python3 -m pip install -q -r requirements-base.txt
+          python3 -m pip install -q -r requirements.txt
+          python3 -m pip install -q -r requirements-dev.txt
+          pytest --version
+
+      - name: Run unit tests with coverage
+        shell: sh
+        run: |
+          set -eu
+          PYTHONPATH="$PWD/apps/api:$PWD" python3 -m coverage run \
+            --source=apps/api/app,packages \
+            --omit="*/migrations/*,*/tests/*,*/test_*.py,*/site-packages/*" \
+            --branch \
+            -m pytest tests/unit -q
+          python3 -m coverage report --show-missing
+          python3 -m coverage xml -o coverage.xml
+          python3 -m coverage report --fail-under=60 > /dev/null
+
+      - name: CI failure notification
+        if: failure()
+        shell: sh
+        env:
+          GITEA_TOKEN: ${{ secrets.GITEA_TOKEN }}
+          CI_WEBHOOK_URL: ${{ secrets.CI_WEBHOOK_URL }}
+        run: |
+          set +e
+          FAILED_JOB="Unit Tests" python3 scripts/ci_notify_failure.py
+
+
+  integration-tests:
+    name: Integration Tests
+    runs-on: host
+    timeout-minutes: 20
+    if: always()
+    needs: validate
+
+    env:
+      DATABASE_URL: postgresql+psycopg://postgres:postgres@127.0.0.1:5432/xiaoxia_saas
+      USE_IN_MEMORY_DB: "false"
+
+    steps:
+      - name: Checkout code
+        shell: sh
+        env:
+          GITHUB_TOKEN: ${{ github.token }}
+        run: |
+          set -eu
+          python3 - <<'PY'
+          import io, os, tarfile, time, urllib.request, urllib.error
+          url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
+          request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
+          last_err = None
+          for attempt in range(5):
+              try:
+                  with urllib.request.urlopen(request, timeout=120) as response:
+                      archive = response.read()
+                  break
+              except urllib.error.HTTPError as e:
+                  last_err = e
+                  if e.code >= 500 and attempt < 4:
+                      wait = 2 ** attempt
+                      print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
+                      time.sleep(wait)
+                      continue
+                  raise
+              except Exception as e:
+                  last_err = e
+                  if attempt < 4:
+                      wait = 2 ** attempt
+                      print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
+                      time.sleep(wait)
+                      continue
+                  raise
+          else:
+              raise last_err
+          with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
+              root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
+              for member in tar.getmembers():
+                  name = member.name
+                  if name == root_prefix[:-1]:
+                      continue
+                  if name.startswith(root_prefix):
+                      member.name = name[len(root_prefix):]
+                  if member.name:
+                      tar.extract(member, '.')
+          PY
+
+      - name: Verify CI environment
+        shell: sh
+        run: |
+          set -eu
+          python3 --version
+          python3 -m pip --version
+          echo "CI environment is ready"
+
+      - name: Install dependencies
+        shell: sh
+        run: |
+          set -eu
+          python3 -m pip install -q -r requirements-base.txt
+          python3 -m pip install -q -r requirements.txt
+          python3 -m pip install -q -r requirements-dev.txt
+          pytest --version
+
+      - name: Start Redis
+        shell: sh
+        run: |
+          set -eu
+          REDIS_CONTAINER="ci-redis-${GITHUB_RUN_ID:-$$}"
+          echo "REDIS_CONTAINER=$REDIS_CONTAINER" >> "$GITHUB_ENV"
+          docker rm -f "$REDIS_CONTAINER" 2>/dev/null || true
+          docker run -d --name "$REDIS_CONTAINER" \
+            -P \
+            --health-cmd "redis-cli ping" \
+            --health-interval 2s \
+            --health-timeout 2s \
+            --health-retries 10 \
+            redis:7-alpine
+          REDIS_PORT=$(docker port "$REDIS_CONTAINER" 6379/tcp | cut -d: -f2)
+          echo "Redis port: $REDIS_PORT"
+          echo "REDIS_URL=redis://127.0.0.1:$REDIS_PORT/0" >> "$GITHUB_ENV"
+          for i in $(seq 1 15); do
+            if docker inspect --format='{{.State.Health.Status}}' "$REDIS_CONTAINER" 2>/dev/null | grep -q healthy; then
+              echo "Redis is ready on port $REDIS_PORT"
+              break
+            fi
+            echo "Waiting for Redis... ($i/15)"
+            sleep 2
+          done
+          docker inspect --format='{{.State.Health.Status}}' "$REDIS_CONTAINER" | grep -q healthy
 
       - name: Start PostgreSQL for integration tests
         shell: sh
@@ -209,7 +391,14 @@ jobs:
         run: |
           set -eu
           pip install -q pytest-rerunfailures
-          PYTHONPATH="$PWD/apps/api:$PWD" python3 -m pytest tests/integration -q --timeout=60 -x --reruns 2 --reruns-delay 1 -m "not performance"
+          PYTHONPATH="$PWD/apps/api:$PWD" python3 -m coverage run --append \
+            --source=apps/api/app,packages \
+            --omit="*/migrations/*,*/tests/*,*/test_*.py,*/site-packages/*" \
+            --branch \
+            -m pytest tests/integration -q --timeout=60 -x --reruns 2 --reruns-delay 1 -m "not performance"
+          python3 -m coverage report --show-missing
+          python3 -m coverage xml -o coverage.xml
+          python3 -m coverage report --fail-under=40 > /dev/null  # 集成测试覆盖率门槛较低，核心目标是功能验证
 
       - name: Run API performance baseline tests
         shell: sh
@@ -253,25 +442,44 @@ jobs:
           exit 0
 
 
-      - name: Cleanup PostgreSQL
+      - name: Cleanup PostgreSQL & Redis
         if: always()
         shell: sh
         run: |
           docker rm -f "${PG_CONTAINER:-ci-pg-validate}" 2>/dev/null || true
+          docker rm -f "${REDIS_CONTAINER:-ci-redis-int}" 2>/dev/null || true
           echo "PostgreSQL container cleaned up"
+          echo "Redis container cleaned up"
 
-      - name: Build summary
-        if: github.ref == 'refs/heads/develop' || github.ref == 'refs/heads/main'
+      - name: Coverage summary
+        if: always()
+        shell: sh
+        env:
+          COVERAGE_THRESHOLD: "40"
+        run: |
+          set +e
+          echo "=== 覆盖率汇总 ==="
+          python3 scripts/ci_coverage_summary.py
+      - name: Notify CI failure
+        if: failure()
         shell: sh
         run: |
-          set -eu
-          echo "Build completed successfully!"
-          echo "Branch: ${GITHUB_REF_NAME}"
-          echo "Commit: ${GITHUB_SHA}"
+          set +e
+          echo "=== CI 失败通知 ==="
+          FAILED_JOB="Validate Code Quality And Tests" python3 scripts/ci_notify_failure.py
+
+      - name: Notify CI failure - Integration Tests
+        if: failure()
+        shell: sh
+        run: |
+          set +e
+          echo "=== CI 失败通知 ==="
+          FAILED_JOB="Integration Tests" python3 scripts/ci_notify_failure.py
+
 
   frontend-lint:
     name: Frontend Lint
-    runs-on: ubuntu-22.04
+    runs-on: host
     timeout-minutes: 10
 
     steps:
@@ -370,13 +578,22 @@ jobs:
             -w /workspace/apps/web \
             docker.m.daocloud.io/library/node:20 \
             sh -lc 'npx vitest run src/test'
+
+      - name: Notify CI failure
+        if: failure()
+        shell: sh
+        run: |
+          set +e
+          echo "=== CI 失败通知 ==="
+          FAILED_JOB="Frontend Lint" python3 scripts/ci_notify_failure.py
+
   deploy-staging:
     name: Build & Push Staging (Watchtower auto-deploy)
     runs-on: saas
     timeout-minutes: 30
     needs: [validate, frontend-lint]
 
-    if: github.ref_name == 'main' || github.ref_name == 'develop' || startsWith(github.ref_name, 'feature/')
+    if: github.event_name == 'push' && (github.ref_name == 'main' || github.ref_name == 'develop')
 
     steps:
     - name: Checkout code
@@ -501,6 +718,23 @@ jobs:
         echo "Branch: ${GITHUB_REF_NAME}"
         echo "Commit: ${GITHUB_SHA}"
 
+    - name: Notify CI success
+      if: success()
+      shell: sh
+      run: |
+        set +e
+        echo "=== CI 成功通知 ==="
+        SUCCESS_JOB="Staging部署成功" python3 scripts/ci_notify_success.py
+
+    - name: Notify CI failure
+      if: failure()
+      shell: sh
+      run: |
+        set +e
+        echo "=== CI 失败通知 ==="
+        FAILED_JOB="Build & Push Staging (Watchtower auto-deploy)" python3 scripts/ci_notify_failure.py
+
+
 
   staging-e2e:
     name: Staging E2E Tests
@@ -569,6 +803,15 @@ jobs:
           git.xiaoxiajianji.com/xiaoxia/base/playwright:v1.45.0-jammy \
           sh -lc "npm ci && npx playwright test --reporter=line --project=chromium e2e/auth.spec.ts e2e/auth-guard.spec.ts e2e/core-upload.spec.ts e2e/core-generation.spec.ts"
 
+    - name: Notify CI failure
+      if: failure()
+      shell: sh
+      run: |
+        set +e
+        echo "=== CI 失败通知 ==="
+        FAILED_JOB="Staging E2E Tests" python3 scripts/ci_notify_failure.py
+
+
   staging-api-tests:
     name: Staging API Integration Tests
     runs-on: saas
@@ -634,6 +877,15 @@ jobs:
           git.xiaoxiajianji.com/xiaoxia/base/playwright:v1.45.0-jammy \
           sh -lc 'npm ci && npx playwright test --reporter=line e2e/test_auth.spec.ts e2e/test_asset.spec.ts e2e/test_project.spec.ts'
 
+    - name: Notify CI failure
+      if: failure()
+      shell: sh
+      run: |
+        set +e
+        echo "=== CI 失败通知 ==="
+        FAILED_JOB="Staging API Integration Tests" python3 scripts/ci_notify_failure.py
+
+
 
   build-production-runtime-images:
     name: Build Production Runtime Images
@@ -714,6 +966,15 @@ jobs:
         echo "Disk usage after cleanup:"
         df -h / | tail -1
 
+    - name: Notify CI failure
+      if: failure()
+      shell: sh
+      run: |
+        set +e
+        echo "=== CI 失败通知 ==="
+        FAILED_JOB="Build Production Runtime Images" python3 scripts/ci_notify_failure.py
+
+
   deploy-production:
     name: Deploy Production
     runs-on: saas
@@ -779,6 +1040,23 @@ jobs:
 
         echo "$DEPLOY_B64" | base64 -d | ssh -p 22222 -i "$key_path" "$production_user@$production_host" "IMAGE_TAG='${GITHUB_REF_NAME}' REGISTRY_TOKEN='${REGISTRY_TOKEN}' sh"
 
+    - name: Notify CI success
+      if: success()
+      shell: sh
+      run: |
+        set +e
+        echo "=== CI 成功通知 ==="
+        SUCCESS_JOB="生产部署成功" python3 scripts/ci_notify_success.py
+
+    - name: Notify CI failure
+      if: failure()
+      shell: sh
+      run: |
+        set +e
+        echo "=== CI 失败通知 ==="
+        FAILED_JOB="Deploy Production" python3 scripts/ci_notify_failure.py
+
+
   production-e2e:
     name: Production Browser E2E
     runs-on: saas
@@ -847,3 +1125,12 @@ jobs:
           -w /workspace/apps/web \
           git.xiaoxiajianji.com/xiaoxia/base/playwright:v1.45.0-jammy \
           sh -lc 'npm ci && npx playwright test --reporter=line --project=chromium e2e/auth.spec.ts e2e/auth-guard.spec.ts e2e/core-upload.spec.ts e2e/core-generation.spec.ts e2e/core-titles.spec.ts'
+
+    - name: Notify CI failure
+      if: failure()
+      shell: sh
+      run: |
+        set +e
+        echo "=== CI 失败通知 ==="
+        FAILED_JOB="Production Browser E2E" python3 scripts/ci_notify_failure.py
+

.gitea/workflows/test-ssh-secret.yml

@@ -1,69 +0,0 @@
-name: Test SSH Secret
-on:
-  push:
-    branches: [develop]
-    paths:
-      - '.gitea/workflows/test-ssh-secret.yml'
-
-jobs:
-  test-ssh:
-    runs-on: ubuntu-22.04
-    steps:
-      - name: Install SSH client
-        run: |
-          which ssh || (apt-get update && apt-get install -y openssh-client)
-          ssh -V
-
-      - name: Debug environment
-        run: |
-          echo "=== Environment ==="
-          echo "Runner hostname: $(hostname)"
-          echo "Runner IP: $(hostname -i || echo 'unknown')"
-          echo "Current user: $(whoami)"
-          echo "=== Secrets check ==="
-          if [ -n "$STAGING_SSH_HOST" ]; then
-            echo "STAGING_SSH_HOST: [SET] value_length=${#STAGING_SSH_HOST}"
-          else
-            echo "STAGING_SSH_HOST: [EMPTY]"
-          fi
-          if [ -n "$STAGING_SSH_USER" ]; then
-            echo "STAGING_SSH_USER: [SET] value_length=${#STAGING_SSH_USER}"
-          else
-            echo "STAGING_SSH_USER: [EMPTY]"
-          fi
-          if [ -n "$STAGING_SSH_KEY" ]; then
-            echo "STAGING_SSH_KEY: [SET] value_length=${#STAGING_SSH_KEY}"
-          else
-            echo "STAGING_SSH_KEY: [EMPTY]"
-          fi
-        env:
-          STAGING_SSH_HOST: ${{ secrets.STAGING_SSH_HOST }}
-          STAGING_SSH_USER: ${{ secrets.STAGING_SSH_USER }}
-          STAGING_SSH_KEY: ${{ secrets.STAGING_SSH_KEY }}
-
-      - name: Setup SSH key
-        run: |
-          mkdir -p ~/.ssh
-          chmod 700 ~/.ssh
-          echo "$STAGING_SSH_KEY" > ~/.ssh/id_ed25519
-          chmod 600 ~/.ssh/id_ed25519
-          ssh-keygen -y -f ~/.ssh/id_ed25519 > ~/.ssh/id_ed25519.pub 2>/dev/null || echo "No public key generated"
-          echo "=== SSH Key fingerprint ==="
-          ssh-keygen -lf ~/.ssh/id_ed25519 || echo "Key fingerprint failed"
-        env:
-          STAGING_SSH_KEY: ${{ secrets.STAGING_SSH_KEY }}
-
-      - name: Test SSH connection
-        run: |
-          echo "Attempting SSH connection to $STAGING_SSH_HOST..."
-          ssh -i ~/.ssh/id_ed25519 \
-            -o StrictHostKeyChecking=no \
-            -o UserKnownHostsFile=/dev/null \
-            -o ConnectTimeout=10 \
-            -o BatchMode=yes \
-            -v \
-            $STAGING_SSH_USER@$STAGING_SSH_HOST "echo 'SSH_CONNECTION_SUCCESS' && hostname && whoami"
-          echo "=== SSH Test Complete ==="
-        env:
-          STAGING_SSH_HOST: ${{ secrets.STAGING_SSH_HOST }}
-          STAGING_SSH_USER: ${{ secrets.STAGING_SSH_USER }}

.gitea/workflows/tests.yml

@@ -1,163 +0,0 @@
-name: Tests
-
-on:
-  pull_request:
-    branches: [ main ]
-
-jobs:
-  test:
-    runs-on: runtime-builder
-
-    steps:
-    - name: Checkout code
-      shell: sh
-      run: |
-        set -eu
-        python - <<'PY'
-        import io
-        import os
-        import tarfile
-        import time
-        import urllib.error
-        import urllib.request
-
-        url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
-        request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
-        # Retry up to 5 times with backoff for transient 5xx errors
-        last_err = None
-        for attempt in range(5):
-            try:
-                with urllib.request.urlopen(request, timeout=120) as response:
-                    archive = response.read()
-                break
-            except urllib.error.HTTPError as e:
-                last_err = e
-                if e.code >= 500 and attempt < 4:
-                    wait = 2 ** attempt
-                    print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
-                    time.sleep(wait)
-                    continue
-                raise
-            except Exception as e:
-                last_err = e
-                if attempt < 4:
-                    wait = 2 ** attempt
-                    print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
-                    time.sleep(wait)
-                    continue
-                raise
-        else:
-            raise last_err
-
-        with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
-            root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
-            for member in tar.getmembers():
-                name = member.name
-                if name == root_prefix[:-1]:
-                    continue
-                if name.startswith(root_prefix):
-                    member.name = name[len(root_prefix):]
-                if member.name:
-                    tar.extract(member, '.')
-        PY
-
-    - name: Show Python version
-      shell: sh
-      run: |
-        set -eu
-        python --version
-        python -m pip --version
-
-    - name: Install dependencies
-      shell: sh
-      run: |
-        set -eu
-        python -m pip install --upgrade pip -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
-        python -m pip install -r requirements.txt -r requirements-dev.txt -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
-
-    - name: Run unit tests
-      shell: sh
-      run: |
-        set -eu
-        PYTHONPATH="$PWD/apps/api:$PWD" python -m pytest tests/unit -q
-
-    - name: Run integration tests
-      shell: sh
-      run: |
-        set -eu
-        PYTHONPATH="$PWD/apps/api:$PWD" python -m pytest tests/integration -q --timeout=60 -x
-
-  lint:
-    runs-on: runtime-builder
-
-    steps:
-    - name: Checkout code
-      shell: sh
-      run: |
-        set -eu
-        python - <<'PY'
-        import io
-        import os
-        import tarfile
-        import time
-        import urllib.error
-        import urllib.request
-
-        url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
-        request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
-        # Retry up to 5 times with backoff for transient 5xx errors
-        last_err = None
-        for attempt in range(5):
-            try:
-                with urllib.request.urlopen(request, timeout=120) as response:
-                    archive = response.read()
-                break
-            except urllib.error.HTTPError as e:
-                last_err = e
-                if e.code >= 500 and attempt < 4:
-                    wait = 2 ** attempt
-                    print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
-                    time.sleep(wait)
-                    continue
-                raise
-            except Exception as e:
-                last_err = e
-                if attempt < 4:
-                    wait = 2 ** attempt
-                    print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
-                    time.sleep(wait)
-                    continue
-                raise
-        else:
-            raise last_err
-
-        with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
-            root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
-            for member in tar.getmembers():
-                name = member.name
-                if name == root_prefix[:-1]:
-                    continue
-                if name.startswith(root_prefix):
-                    member.name = name[len(root_prefix):]
-                if member.name:
-                    tar.extract(member, '.')
-        PY
-
-    - name: Install dependencies
-      shell: sh
-      run: |
-        set -eu
-        python -m pip install --upgrade pip -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
-        python -m pip install -r requirements.txt -r requirements-dev.txt -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
-
-    - name: Run Black (check only)
-      shell: sh
-      run: |
-        set -eu
-        python -m black --check alembic apps packages tests scripts
-
-    - name: Run Flake8
-      shell: sh
-      run: |
-        set -eu
-        python -m flake8 apps packages tests --count --statistics

.gitignore

@@ -6,6 +6,7 @@ dist/
 coverage/
 
 # Python / backend
+.cache/
 .venv/
 venv/
 .venv-ci-root/

alembic/versions/035_add_editing_mode_to_templates.py

@@ -0,0 +1,26 @@
+"""Add editing_mode to edit_templates
+
+Revision ID: 035_editing_mode
+Revises: 034_cms_enhance
+Create Date: 2026-07-09
+"""
+
+import sqlalchemy as sa
+
+from alembic import op
+
+revision = "035_editing_mode"
+down_revision = "034_cms_enhance"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.add_column(
+        "edit_templates",
+        sa.Column("editing_mode", sa.String(20), nullable=False, server_default="one_take"),
+    )
+
+
+def downgrade() -> None:
+    op.drop_column("edit_templates", "editing_mode")

alembic/versions/036_expand_uuid_fields_to_36.py

@@ -0,0 +1,68 @@
+"""Expand UUID fields from varchar(32) to varchar(36)
+
+All UUID fields across all tables were varchar(32), but standard UUIDs with
+hyphens are 36 characters (e.g. 550e8400-e29b-41d4-a716-446655440000).
+This caused StringDataRightTruncation errors on insert.
+
+Revision ID: 036_expand_uuid_36
+Revises: 035_editing_mode
+Create Date: 2026-07-10
+"""
+
+import sqlalchemy as sa
+
+from alembic import op
+
+revision = "036_expand_uuid_36"
+down_revision = "035_editing_mode"
+branch_labels = None
+depends_on = None
+
+
+# ── 表 → 需要扩容的列 ─────────────────────────────────────────────────────────
+
+_TABLES: dict[str, list[str]] = {
+    "projects": ["id", "owner_user_id"],
+    "edit_templates": ["id"],
+    "edit_plans": ["id", "template_id", "source_edit_plan_id", "project_id", "created_by_user_id"],
+    "template_clip_configs": ["id", "template_id"],
+    "edit_plan_clips": ["id", "plan_id", "template_clip_config_id", "asset_id"],
+    "ingest_jobs": ["id", "project_id", "library_id", "result_asset_id"],
+    "classification_jobs": ["id", "project_id", "asset_id"],
+    "generation_tasks": [
+        "id",
+        "project_id",
+        "strategy_id",
+        "asset_library_id",
+        "voice_library_id",
+        "created_by_user_id",
+        "source_edit_plan_id",
+        "batch_id",
+    ],
+    "generated_videos": ["id", "project_id", "generation_task_id", "duplicate_of"],
+    "jobs": ["id", "project_id", "source_id", "created_by_user_id"],
+}
+
+
+def upgrade() -> None:
+    for table, columns in _TABLES.items():
+        for col in columns:
+            op.alter_column(
+                table,
+                col,
+                existing_type=sa.String(32),
+                type_=sa.String(36),
+                existing_nullable=None,
+            )
+
+
+def downgrade() -> None:
+    for table, columns in reversed(list(_TABLES.items())):
+        for col in columns:
+            op.alter_column(
+                table,
+                col,
+                existing_type=sa.String(36),
+                type_=sa.String(32),
+                existing_nullable=None,
+            )

alembic/versions/037_add_logs_to_generation_tasks.py

@@ -0,0 +1,26 @@
+"""Add logs field to generation_tasks
+
+Revision ID: 037_generation_logs
+Revises: 036_expand_uuid_36
+Create Date: 2026-07-10
+"""
+
+import sqlalchemy as sa
+
+from alembic import op
+
+revision = "037_generation_logs"
+down_revision = "036_expand_uuid_36"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.add_column(
+        "generation_tasks",
+        sa.Column("logs", sa.Text(), nullable=False, server_default="[]"),
+    )
+
+
+def downgrade() -> None:
+    op.drop_column("generation_tasks", "logs")

apps/api/app/api/router.py

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

apps/api/app/api/routes/edit_plans.py

@@ -10,6 +10,8 @@ RESTful CRUD for EditPlan:
 - GET    /api/v1/edit-plans/{id}/generation-status  查询生成进度（任务 2.05）
 - POST   /api/v1/edit-plans/{id}/ai-recommend       AI 推荐片段方案（任务 3.09）
 - POST   /api/v1/edit-plans/{id}/generate-cover     AI 生成封面（任务 3.09）
+- GET    /api/v1/edit-plans/{id}/timeline           时间线场景数据
+- POST   /api/v1/edit-plans/generate-from-template  基于模板+素材自动生成剪辑计划
 
 业务逻辑委托给 EditPlanService 服务层。
 """
@@ -22,9 +24,10 @@ from typing import Any, List, Optional
 
 from app.auth import AuthenticatedUser, get_current_user
 from app.core.celery_app import celery_app
+from app.core.task_enqueue import GLOBAL_PENDING_LIMIT, USER_PENDING_LIMIT
 from app.dependencies import get_asset_library_repository, get_asset_repository, get_db_session, get_project_repository
 from app.schemas.generation_task import GenerationTaskResponse
-from app.services import EditPlanService
+from app.services import EditPlanService, PlanGeneratorService
 from fastapi import APIRouter, Depends, HTTPException, Query, status
 from pydantic import BaseModel, Field
 from sqlalchemy.orm import Session
@@ -203,6 +206,44 @@ class GenerateCoverResponse(BaseModel):
     cover: dict[str, Any] = Field(..., description="封面数据（type / image_url / frame_time 等）")
 
 
+# ── 基于模板生成剪辑计划 Schemas ─────────────────────────────────────────────
+
+
+class GenerateFromTemplateRequest(BaseModel):
+    """基于模板生成剪辑计划请求体"""
+
+    template_id: str = Field(..., description="剪辑模板 ID")
+    asset_ids: List[str] = Field(default_factory=list, description="素材 ID 列表")
+    project_id: str = Field(default="", description="所属项目 ID")
+    name: str = Field(default="", description="计划名称（为空则自动取模板名）")
+
+
+class _PlanClipItem(BaseModel):
+    """片段响应体"""
+
+    id: str
+    clip_type: str
+    order: int
+    asset_id: str
+    text_content: str
+    start_time: float
+    duration: float
+    transition_effect: str
+    status: str
+    config: Optional[dict[str, Any]] = None
+    created_at: datetime
+    updated_at: datetime
+
+    model_config = {"from_attributes": True}
+
+
+class GenerateFromTemplateResponse(BaseModel):
+    """基于模板生成剪辑计划响应体"""
+
+    plan: EditPlanResponse
+    clips: List[_PlanClipItem]
+
+
 # ── Helpers ───────────────────────────────────────────────────────────────────
 
 
@@ -604,6 +645,31 @@ def generate_plan(
 
         # 创建 GenerationTask
         gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
+
+        # 队列限流预检查（repository 不支持计数时跳过）
+        user_id = current_user.user.id
+        try:
+            has_count = hasattr(gen_task_repo, "count_pending_by_user") and hasattr(
+                gen_task_repo, "count_pending_total"
+            )
+            if has_count:
+                user_pending = gen_task_repo.count_pending_by_user(user_id)
+                global_pending = gen_task_repo.count_pending_total()
+                if user_pending >= USER_PENDING_LIMIT:
+                    raise HTTPException(
+                        status_code=429,
+                        detail=f"您的待处理任务过多（当前 {user_pending}/{USER_PENDING_LIMIT}），请等待完成后再提交",
+                    )
+                if global_pending >= GLOBAL_PENDING_LIMIT:
+                    raise HTTPException(
+                        status_code=503,
+                        detail="系统繁忙，请稍后再试",
+                    )
+        except HTTPException:
+            raise
+        except Exception as e:
+            logger.warning("[队列限流] 剪辑计划限流检查失败，跳过: %s", e)
+
         gen_task_use_case = CreateGenerationTaskUseCase(gen_task_repo)
         plan = svc.get_plan_or_raise(plan_id)
         gen_task = gen_task_use_case.execute(
@@ -1078,3 +1144,88 @@ def get_plan_timeline(
         total_duration=total_duration,
         scenes=scenes,
     )
+
+
+# ── 基于模板生成剪辑计划 ─────────────────────────────────────────────────────
+
+
+@router.post(
+    "/generate-from-template",
+    response_model=GenerateFromTemplateResponse,
+    status_code=status.HTTP_201_CREATED,
+)
+def generate_from_template(
+    body: GenerateFromTemplateRequest,
+    db: Session = Depends(get_db_session),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+    project_repository: Any = Depends(get_project_repository),
+) -> GenerateFromTemplateResponse:
+    """基于模板 + 素材自动生成剪辑计划
+
+    流程:
+    1. 获取模板及其片段配置
+    2. 调用 PlanGeneratorService 生成 EditPlan + EditPlanClips
+    3. 返回完整的计划和片段列表
+    """
+    from app.services import EditTemplateService
+
+    # 项目鉴权
+    if body.project_id:
+        _check_project_access(body.project_id, current_user.user.id, project_repository)
+
+    template_svc = EditTemplateService(db)
+
+    # 获取模板
+    try:
+        template = template_svc.get_template_or_raise(body.template_id)
+    except ValueError as exc:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=str(exc),
+        )
+
+    # 获取模板片段配置
+    clip_configs = template_svc.list_clip_configs(body.template_id, skip=0, limit=200)
+
+    # 调用 PlanGeneratorService 生成计划
+    generator = PlanGeneratorService(db)
+    result = generator.generate_from_template(
+        template=template,
+        clip_configs=clip_configs,
+        asset_ids=body.asset_ids,
+        project_id=body.project_id,
+        created_by_user_id=current_user.user.id,
+        name=body.name,
+    )
+
+    plan = result["plan"]
+    clips = result["clips"]
+
+    logger.info(
+        "基于模板生成剪辑计划: plan_id=%s template_id=%s clips=%d by user=%s",
+        plan.id,
+        body.template_id,
+        len(clips),
+        current_user.user.id,
+    )
+
+    return GenerateFromTemplateResponse(
+        plan=_to_response(plan),
+        clips=[
+            _PlanClipItem(
+                id=c.id,
+                clip_type=c.clip_type,
+                order=c.order,
+                asset_id=c.asset_id,
+                text_content=c.text_content,
+                start_time=c.start_time,
+                duration=c.duration,
+                transition_effect=c.transition_effect,
+                status=c.status.value if hasattr(c.status, "value") else c.status,
+                config=c.config,
+                created_at=c.created_at,
+                updated_at=c.updated_at,
+            )
+            for c in clips
+        ],
+    )

apps/api/app/api/routes/edit_templates.py

@@ -41,6 +41,9 @@ class EditTemplateCreateRequest(BaseModel):
     name: str = Field(..., min_length=1, max_length=200, description="模板名称")
     description: str = Field(default="", max_length=2000, description="模板描述")
     template_type: str = Field(default="default", max_length=50, description="模板类型")
+    editing_mode: str = Field(
+        default="one_take", max_length=20, description="剪辑模式: one_take/pip/voice_over/voice_pip"
+    )
     config: dict[str, Any] = Field(default_factory=dict, description="模板配置 (JSON)")
     preview_url: str = Field(default="", max_length=500, description="预览地址")
     sort_weight: int = Field(default=0, ge=0, le=9999, description="排序权重")
@@ -52,6 +55,9 @@ class EditTemplateUpdateRequest(BaseModel):
     name: Optional[str] = Field(default=None, min_length=1, max_length=200, description="模板名称")
     description: Optional[str] = Field(default=None, max_length=2000, description="模板描述")
     template_type: Optional[str] = Field(default=None, max_length=50, description="模板类型")
+    editing_mode: Optional[str] = Field(
+        default=None, max_length=20, description="剪辑模式: one_take/pip/voice_over/voice_pip"
+    )
     config: Optional[dict[str, Any]] = Field(default=None, description="模板配置 (JSON)")
     preview_url: Optional[str] = Field(default=None, max_length=500, description="预览地址")
     sort_weight: Optional[int] = Field(default=None, ge=0, le=9999, description="排序权重")
@@ -65,6 +71,7 @@ class EditTemplateResponse(BaseModel):
     name: str
     description: str
     template_type: str
+    editing_mode: str
     config: dict[str, Any]
     preview_url: str
     sort_weight: int
@@ -102,6 +109,7 @@ def _to_response(t: EditTemplate) -> EditTemplateResponse:
         name=t.name,
         description=t.description,
         template_type=t.template_type,
+        editing_mode=t.editing_mode,
         config=t.config,
         preview_url=t.preview_url,
         sort_weight=t.sort_weight,
@@ -195,6 +203,7 @@ def create_template(
             name=body.name,
             description=body.description,
             template_type=body.template_type,
+            editing_mode=body.editing_mode,
             config=normalized_config,
             preview_url=body.preview_url,
             sort_weight=body.sort_weight,
@@ -239,6 +248,7 @@ def update_template(
             name=body.name,
             description=body.description,
             template_type=body.template_type,
+            editing_mode=body.editing_mode,
             config=config_to_update,
             preview_url=body.preview_url,
             sort_weight=body.sort_weight,

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

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

apps/api/app/api/routes/generation_tasks.py

@@ -1,9 +1,18 @@
+import logging
 import random
 import uuid
 from typing import Any
 
 from app.auth import AuthenticatedUser, get_current_user
-from app.core.celery_app import celery_app
+from app.core.storage import OSSStorageService, get_storage_service
+from app.core.task_enqueue import (
+    GLOBAL_PENDING_LIMIT,
+    USER_PENDING_LIMIT,
+    GlobalQueueFull,
+    UserPendingLimitExceeded,
+    check_queue_limits,
+    safe_enqueue_generation_task,
+)
 from app.dependencies import (
     get_asset_library_repository,
     get_asset_repository,
@@ -30,8 +39,9 @@ from packages.application import (
     ListGeneratedVideosByTaskUseCase,
 )
 
-router = APIRouter()
+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"""
@@ -56,6 +66,7 @@ def _to_generation_task_response(task) -> GenerationTaskResponse:
         source_edit_plan_id=task.source_edit_plan_id or "",
         asset_select_mode=getattr(task, "asset_select_mode", ""),
         batch_id=getattr(task, "batch_id", ""),
+        logs=getattr(task, "logs", "[]"),
         status=task.status,
         progress=task.progress,
         result_count=task.result_count,
@@ -63,7 +74,7 @@ def _to_generation_task_response(task) -> GenerationTaskResponse:
     )
 
 
-def _to_generated_video_response(item) -> GeneratedVideoResponse:
+def _to_generated_video_response(item, download_url: str | None = None) -> GeneratedVideoResponse:
     return GeneratedVideoResponse(
         id=item.id,
         project_id=item.project_id,
@@ -76,6 +87,7 @@ def _to_generated_video_response(item) -> GeneratedVideoResponse:
         width=item.width,
         height=item.height,
         fps=item.fps,
+        download_url=download_url,
     )
 
 
@@ -179,19 +191,37 @@ def create_generation_task(
     asset_library_repository: Any = Depends(get_asset_library_repository),
     asset_repository: Any = Depends(get_asset_repository),
 ) -> BatchGenerationTaskResponse:
-    project_id, asset_library_id = _resolve_project_and_library(
-        request, project_repository, asset_library_repository, asset_repository, authenticated_user
+    logger.info(
+        "[生成任务] 接收请求: user_id=%s, template_id=%s, asset_count=%d, mode=%s, count=%d",
+        authenticated_user.user.id,
+        request.template_id,
+        len(request.asset_ids),
+        request.asset_select_mode,
+        request.count,
     )
 
+    try:
+        project_id, asset_library_id = _resolve_project_and_library(
+            request, project_repository, asset_library_repository, asset_repository, authenticated_user
+        )
+    except HTTPException as e:
+        logger.warning("[生成任务] 校验失败: %s", e.detail)
+        raise
+
     # asset_library 存在性校验（仅在提供了 asset_library_id 时）
     resolved_asset_ids: list[str] = list(request.asset_ids)
     if asset_library_id:
         library = asset_library_repository.get(asset_library_id)
         if library is None or (project_id and library.project_id != project_id):
+            logger.warning("[生成任务] 素材库不存在: library_id=%s", asset_library_id)
             raise HTTPException(status_code=404, detail=f"AssetLibrary {asset_library_id} not found")
 
         assets = asset_repository.find_by_library(asset_library_id)
-        _ensure_library_has_ready_video_assets(assets)
+        try:
+            _ensure_library_has_ready_video_assets(assets)
+        except HTTPException as e:
+            logger.warning("[生成任务] 素材校验失败: %s", e.detail)
+            raise
 
         # 素材库自动匹配：当未显式指定 asset_ids 时，按模式自动选取
         if not resolved_asset_ids:
@@ -204,30 +234,85 @@ def create_generation_task(
     use_case = CreateGenerationTaskUseCase(generation_task_repository)
     count = request.count
     created_tasks = []
+    failed_tasks = []
+    user_id = authenticated_user.user.id
     # 同批次任务共享 batch_id，用于视频查重时批次内比对
     batch_id = uuid.uuid4().hex if count > 1 else ""
 
-    for _ in range(count):
-        task = use_case.execute(
-            CreateGenerationTaskCommand(
-                project_id=project_id,
-                asset_library_id=asset_library_id,
-                strategy_id=request.strategy_id,
-                voice_library_id=request.voice_library_id,
-                template_id=request.template_id,
-                asset_ids=resolved_asset_ids,
-                title_ids=request.title_ids,
-                voice_ids=request.voice_ids,
-                created_by_user_id=authenticated_user.user.id,
-                source_edit_plan_id=request.source_edit_plan_id,
-                asset_select_mode=request.asset_select_mode,
-                batch_id=batch_id,
+    # 预检查：批量提交前先看会不会超限，避免建一半才拒
+    try:
+        user_pending = generation_task_repository.count_pending_by_user(user_id)
+        global_pending = generation_task_repository.count_pending_total()
+        if user_pending + count > USER_PENDING_LIMIT:
+            raise UserPendingLimitExceeded(
+                user_id=user_id, pending_count=user_pending + count, limit=USER_PENDING_LIMIT
             )
-        )
-        celery_app.send_task("worker.generate_video", args=[task.id])
-        created_tasks.append(task)
+        if global_pending + count > GLOBAL_PENDING_LIMIT:
+            raise GlobalQueueFull(pending_count=global_pending + count, limit=GLOBAL_PENDING_LIMIT)
+    except UserPendingLimitExceeded as e:
+        raise HTTPException(
+            status_code=429,
+            detail=f"您的待处理任务过多（当前 {e.pending_count - count}/{e.limit}，本次提交 {count} 个），请等待完成后再提交",
+        ) from e
+    except GlobalQueueFull as e:
+        raise HTTPException(
+            status_code=503,
+            detail="系统繁忙，请稍后再试",
+        ) from e
 
-    items = [_to_generation_task_response(t) for t in created_tasks]
+    try:
+        for _ in range(count):
+            task = use_case.execute(
+                CreateGenerationTaskCommand(
+                    project_id=project_id,
+                    asset_library_id=asset_library_id,
+                    strategy_id=request.strategy_id,
+                    voice_library_id=request.voice_library_id,
+                    template_id=request.template_id,
+                    asset_ids=resolved_asset_ids,
+                    title_ids=request.title_ids,
+                    voice_ids=request.voice_ids,
+                    created_by_user_id=user_id,
+                    source_edit_plan_id=request.source_edit_plan_id,
+                    asset_select_mode=request.asset_select_mode,
+                    batch_id=batch_id,
+                )
+            )
+            try:
+                if safe_enqueue_generation_task(
+                    task,
+                    generation_task_repository,
+                    user_id=user_id,
+                    log_prefix="[生成任务]",
+                    log_task_status=True,
+                ):
+                    created_tasks.append(task)
+                else:
+                    failed_tasks.append(task)
+            except UserPendingLimitExceeded:
+                # 兜底：如果预检查后又并发提交了，在这里也拦住
+                failed_tasks.append(task)
+                if not created_tasks:
+                    raise HTTPException(
+                        status_code=429,
+                        detail="您的待处理任务过多，请等待完成后再提交",
+                    )
+                break
+            except GlobalQueueFull:
+                failed_tasks.append(task)
+                if not created_tasks:
+                    raise HTTPException(
+                        status_code=503,
+                        detail="系统繁忙，请稍后再试",
+                    )
+                break
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error("[生成任务] 创建失败: %s", e, exc_info=True)
+        raise HTTPException(status_code=500, detail="创建生成任务失败，请稍后重试或查看任务日志")
+
+    items = [_to_generation_task_response(t) for t in created_tasks + failed_tasks]
     return BatchGenerationTaskResponse(items=items, total=len(items))
 
 
@@ -265,6 +350,7 @@ def list_generation_results(
     generation_task_repository: Any = Depends(get_generation_task_repository),
     generated_video_repository: Any = Depends(get_generated_video_repository),
     project_repository: Any = Depends(get_project_repository),
+    storage_service: OSSStorageService = Depends(get_storage_service),
 ) -> ListGeneratedVideosResponse:
     task = generation_task_repository.get(task_id)
     if task is None:
@@ -273,7 +359,11 @@ def list_generation_results(
         _check_project_access(task.project_id, authenticated_user.user.id, project_repository)
     use_case = ListGeneratedVideosByTaskUseCase(generated_video_repository)
     items = use_case.execute(task_id)
-    return ListGeneratedVideosResponse(items=[_to_generated_video_response(item) for item in items])
+    responses = []
+    for item in items:
+        download_url = storage_service.get_download_url(item.file_url, expires_seconds=86400)
+        responses.append(_to_generated_video_response(item, download_url=download_url))
+    return ListGeneratedVideosResponse(items=responses)
 
 
 @router.post("/tasks/{task_id}/retry", response_model=GenerationTaskResponse)
@@ -292,6 +382,21 @@ def retry_generation_task(
     if status_val != "failed":
         raise HTTPException(status_code=409, detail="Only failed tasks can be retried")
 
+    user_id = authenticated_user.user.id
+    # 预检查：创建前判断，>= 上限就拒绝
+    user_pending = generation_task_repository.count_pending_by_user(user_id)
+    global_pending = generation_task_repository.count_pending_total()
+    if user_pending >= USER_PENDING_LIMIT:
+        raise HTTPException(
+            status_code=429,
+            detail=f"您的待处理任务过多（当前 {user_pending}/{USER_PENDING_LIMIT}），请等待完成后再提交",
+        )
+    if global_pending >= GLOBAL_PENDING_LIMIT:
+        raise HTTPException(
+            status_code=503,
+            detail="系统繁忙，请稍后再试",
+        )
+
     use_case = CreateGenerationTaskUseCase(generation_task_repository)
     retried = use_case.execute(
         CreateGenerationTaskCommand(
@@ -303,10 +408,28 @@ def retry_generation_task(
             asset_ids=task.asset_ids,
             title_ids=task.title_ids,
             voice_ids=task.voice_ids,
-            created_by_user_id=authenticated_user.user.id,
+            created_by_user_id=user_id,
             source_edit_plan_id=task.source_edit_plan_id or "",
             asset_select_mode=getattr(task, "asset_select_mode", ""),
         )
     )
-    celery_app.send_task("worker.generate_video", args=[retried.id])
+    try:
+        if not safe_enqueue_generation_task(
+            retried,
+            generation_task_repository,
+            user_id=user_id,
+            log_prefix="[生成任务]",
+            log_task_status=True,
+        ):
+            logger.warning("[生成任务] 重试入队失败: task_id=%s", retried.id)
+    except UserPendingLimitExceeded:
+        raise HTTPException(
+            status_code=429,
+            detail="您的待处理任务过多，请等待完成后再提交",
+        ) from None
+    except GlobalQueueFull:
+        raise HTTPException(
+            status_code=503,
+            detail="系统繁忙，请稍后再试",
+        ) from None
     return _to_generation_task_response(retried)

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

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

apps/api/app/api/routes/task_center.py

@@ -1,7 +1,15 @@
+import logging
 from typing import Any
 
 from app.auth import AuthenticatedUser, get_current_user
 from app.core.celery_app import celery_app
+from app.core.task_enqueue import (
+    GLOBAL_PENDING_LIMIT,
+    USER_PENDING_LIMIT,
+    GlobalQueueFull,
+    UserPendingLimitExceeded,
+    safe_enqueue_generation_task,
+)
 from app.dependencies import (
     get_generation_task_repository,
     get_ingest_job_repository,
@@ -22,8 +30,9 @@ from packages.application import (
     SubmitIngestJobUseCase,
 )
 
-router = APIRouter()
+logger = logging.getLogger(__name__)
 
+router = APIRouter()
 
 def _humanize_task_error(error_message: str) -> str:
     raw = (error_message or "").strip()
@@ -139,6 +148,21 @@ def retry_task_by_id(
     if _status_value(task.status) != "failed":
         raise HTTPException(status_code=409, detail="Only failed tasks can be retried")
 
+    user_id = authenticated_user.user.id
+    # 预检查
+    user_pending = generation_task_repository.count_pending_by_user(user_id)
+    global_pending = generation_task_repository.count_pending_total()
+    if user_pending >= USER_PENDING_LIMIT:
+        raise HTTPException(
+            status_code=429,
+            detail=f"您的待处理任务过多（当前 {user_pending}/{USER_PENDING_LIMIT}），请等待完成后再提交",
+        )
+    if global_pending >= GLOBAL_PENDING_LIMIT:
+        raise HTTPException(
+            status_code=503,
+            detail="系统繁忙，请稍后再试",
+        )
+
     use_case = CreateGenerationTaskUseCase(generation_task_repository)
     retried = use_case.execute(
         CreateGenerationTaskCommand(
@@ -150,10 +174,24 @@ def retry_task_by_id(
             asset_ids=task.asset_ids,
             title_ids=task.title_ids,
             voice_ids=task.voice_ids,
-            created_by_user_id=authenticated_user.user.id,
+            created_by_user_id=user_id,
         )
     )
-    celery_app.send_task("worker.generate_video", args=[retried.id])
+    try:
+        if not safe_enqueue_generation_task(
+            retried, generation_task_repository, user_id=user_id, log_prefix="[任务中心]"
+        ):
+            logger.warning("[任务中心] 用户级重试入队失败: task_id=%s", retried.id)
+    except UserPendingLimitExceeded:
+        raise HTTPException(
+            status_code=429,
+            detail="您的待处理任务过多，请等待完成后再提交",
+        ) from None
+    except GlobalQueueFull:
+        raise HTTPException(
+            status_code=503,
+            detail="系统繁忙，请稍后再试",
+        ) from None
     return UserTaskResponse(
         id=f"generation:{retried.id}",
         task_type="generation",
@@ -221,6 +259,22 @@ def retry_project_task(
             raise HTTPException(status_code=404, detail="Generation task not found")
         if _status_value(task.status) != "failed":
             raise HTTPException(status_code=409, detail="Only failed tasks can be retried")
+
+        user_id = authenticated_user.user.id
+        # 预检查
+        user_pending = generation_task_repository.count_pending_by_user(user_id)
+        global_pending = generation_task_repository.count_pending_total()
+        if user_pending >= USER_PENDING_LIMIT:
+            raise HTTPException(
+                status_code=429,
+                detail=f"您的待处理任务过多（当前 {user_pending}/{USER_PENDING_LIMIT}），请等待完成后再提交",
+            )
+        if global_pending >= GLOBAL_PENDING_LIMIT:
+            raise HTTPException(
+                status_code=503,
+                detail="系统繁忙，请稍后再试",
+            )
+
         use_case = CreateGenerationTaskUseCase(generation_task_repository)
         retried = use_case.execute(
             CreateGenerationTaskCommand(
@@ -232,10 +286,24 @@ def retry_project_task(
                 asset_ids=task.asset_ids,
                 title_ids=task.title_ids,
                 voice_ids=task.voice_ids,
-                created_by_user_id=authenticated_user.user.id,
+                created_by_user_id=user_id,
             )
         )
-        celery_app.send_task("worker.generate_video", args=[retried.id])
+        try:
+            if not safe_enqueue_generation_task(
+                retried, generation_task_repository, user_id=user_id, log_prefix="[任务中心]"
+            ):
+                logger.warning("[任务中心] 项目级重试入队失败: task_id=%s", retried.id)
+        except UserPendingLimitExceeded:
+            raise HTTPException(
+                status_code=429,
+                detail="您的待处理任务过多，请等待完成后再提交",
+            ) from None
+        except GlobalQueueFull:
+            raise HTTPException(
+                status_code=503,
+                detail="系统繁忙，请稍后再试",
+            ) from None
         return _generation_task_to_project_response(retried)
     if task_type == "ingest":
         job = ingest_job_repository.get(source_id)

apps/api/app/api/routes/tts.py

@@ -7,6 +7,7 @@ from typing import Optional
 
 from app.auth import AuthenticatedUser, get_current_user
 from app.dependencies import (
+    get_audio_url_signer,
     get_cosyvoice_service,
     get_db_session,
     get_user_repository,
@@ -56,7 +57,10 @@ def _get_repository(session: Session = Depends(get_db_session)) -> SQLAlchemyTTS
     return SQLAlchemyTTSJobRepository(session)
 
 
-def _to_response(job) -> TTSJobResponse:
+def _to_response(job, sign_url=None) -> TTSJobResponse:
+    output_url = job.output_audio_url
+    if sign_url and output_url:
+        output_url = sign_url(output_url)
     return TTSJobResponse(
         id=job.id,
         user_id=job.user_id,
@@ -66,7 +70,7 @@ def _to_response(job) -> TTSJobResponse:
         project_id=job.project_id,
         voice_clone_profile_id=job.voice_clone_profile_id,
         status=job.status,
-        output_audio_url=job.output_audio_url,
+        output_audio_url=output_url,
         output_audio_key=job.output_audio_key,
         duration=job.duration,
         file_size=job.file_size,
@@ -176,6 +180,7 @@ def list_tts_jobs(
     status_filter: Optional[str] = Query(None, alias="status"),
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
     repository: SQLAlchemyTTSJobRepository = Depends(_get_repository),
+    sign_url=Depends(get_audio_url_signer),
 ) -> ListTTSJobResponse:
     """列出用户的 TTS 合成任务。"""
     user_id = authenticated_user.user.id
@@ -183,7 +188,7 @@ def list_tts_jobs(
     skip = (page - 1) * page_size
     items, total = use_case.execute(user_id, status=status_filter, skip=skip, limit=page_size)
     return ListTTSJobResponse(
-        items=[_to_response(j) for j in items],
+        items=[_to_response(j, sign_url) for j in items],
         total=total,
         page=page,
         page_size=page_size,
@@ -195,6 +200,7 @@ def get_tts_job(
     job_id: str,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
     repository: SQLAlchemyTTSJobRepository = Depends(_get_repository),
+    sign_url=Depends(get_audio_url_signer),
 ) -> TTSJobResponse:
     """获取 TTS 任务详情。"""
     user_id = authenticated_user.user.id
@@ -203,7 +209,7 @@ def get_tts_job(
         job = use_case.execute(job_id, user_id)
     except TTSJobNotFoundError:
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="TTS job not found")
-    return _to_response(job)
+    return _to_response(job, sign_url)
 
 
 @router.get("/jobs/{job_id}/status", response_model=TTSStatusResponse)
@@ -211,6 +217,7 @@ def get_tts_job_status(
     job_id: str,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
     repository: SQLAlchemyTTSJobRepository = Depends(_get_repository),
+    sign_url=Depends(get_audio_url_signer),
 ) -> TTSStatusResponse:
     """查询 TTS 合成状态（用于前端轮询）。"""
     user_id = authenticated_user.user.id
@@ -219,10 +226,13 @@ def get_tts_job_status(
         job = use_case.execute(job_id, user_id)
     except TTSJobNotFoundError:
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="TTS job not found")
+    output_url = job.output_audio_url
+    if output_url:
+        output_url = sign_url(output_url)
     return TTSStatusResponse(
         id=job.id,
         status=job.status,
-        output_audio_url=job.output_audio_url,
+        output_audio_url=output_url,
         error_message=job.error_message,
         duration=job.duration,
         retry_count=job.retry_count,
@@ -258,6 +268,7 @@ def save_tts_job_to_library(
     tts_repository: SQLAlchemyTTSJobRepository = Depends(_get_repository),
     voice_library_repository: SQLAlchemyVoiceLibraryRepository = Depends(get_voice_library_repository),
     user_repository: UserRepository = Depends(get_user_repository),
+    sign_url=Depends(get_audio_url_signer),
 ) -> SaveToLibraryResponse:
     """将已完成的 TTS 合成结果保存到配音库。
 
@@ -328,7 +339,7 @@ def save_tts_job_to_library(
     return SaveToLibraryResponse(
         id=item.id,
         name=item.name,
-        audio_url=item.audio_url,
+        audio_url=sign_url(item.audio_url) if item.audio_url else "",
         duration=item.duration,
         voice_id=item.voice_id,
         voice_name=item.voice_name,

apps/api/app/api/routes/voice_clones.py

@@ -38,6 +38,7 @@ router = APIRouter()
 
 
 def _to_response(profile) -> VoiceCloneProfileResponse:
+    # source_audio_url 是用户传入的原始 URL（可能是外部地址），不做预签名转换
     return VoiceCloneProfileResponse(
         id=profile.id,
         user_id=profile.user_id,

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

@@ -8,7 +8,7 @@ from __future__ import annotations
 from typing import Literal, Optional
 
 from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_db_session, get_user_repository
+from app.dependencies import get_audio_url_signer, get_db_session, get_user_repository
 from app.schemas.voice import (
     PresetVoiceItemResponse,
     PresetVoiceListResponse,
@@ -50,7 +50,10 @@ def _get_clone_profile_repository(session: Session = Depends(get_db_session)) ->
     return SQLAlchemyVoiceCloneProfileRepository(session)
 
 
-def _to_response(item) -> VoiceLibraryItemResponse:
+def _to_response(item, sign_url=None) -> VoiceLibraryItemResponse:
+    audio = item.audio_url
+    if sign_url and audio:
+        audio = sign_url(audio)
     return VoiceLibraryItemResponse(
         id=item.id,
         user_id=item.user_id,
@@ -59,7 +62,7 @@ def _to_response(item) -> VoiceLibraryItemResponse:
         voice_provider=item.voice_provider,
         voice_id=item.voice_id,
         voice_name=item.voice_name,
-        audio_url=item.audio_url,
+        audio_url=audio,
         duration=item.duration,
         file_size=item.file_size,
         status=item.status,
@@ -70,16 +73,20 @@ def _to_response(item) -> VoiceLibraryItemResponse:
     )
 
 
-def _to_unified_response(item, profile_id_map: dict | None = None) -> UnifiedVoiceItemResponse:
+def _to_unified_response(item, profile_id_map: dict | None = None, sign_url=None) -> UnifiedVoiceItemResponse:
     """将数据库音色转换为统一响应格式。
 
     Args:
         item: VoiceLibraryItem
         profile_id_map: voice_id → profile_id 映射，用于填充 voice_clone_profile_id
+        sign_url: 音频URL预签名函数
     """
     profile_id = None
     if profile_id_map and item.voice_id:
         profile_id = profile_id_map.get(item.voice_id)
+    audio = item.audio_url
+    if sign_url and audio:
+        audio = sign_url(audio)
     return UnifiedVoiceItemResponse(
         id=item.id,
         type="clone",
@@ -89,7 +96,7 @@ def _to_unified_response(item, profile_id_map: dict | None = None) -> UnifiedVoi
         language="zh-CN",
         voice_id=item.voice_id,
         voice_provider=item.voice_provider or "cosyvoice",
-        audio_url=item.audio_url,
+        audio_url=audio,
         duration=item.duration,
         file_size=item.file_size,
         status=item.status,
@@ -140,6 +147,7 @@ def list_voices_unified(
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
     voice_repository: SQLAlchemyVoiceLibraryRepository = Depends(_get_voice_repository),
     clone_profile_repository: SQLAlchemyVoiceCloneProfileRepository = Depends(_get_clone_profile_repository),
+    sign_url=Depends(get_audio_url_signer),
 ) -> UnifiedVoiceListResponse:
     """获取配音列表（预置音色 + 用户克隆音色）。
 
@@ -167,7 +175,7 @@ def list_voices_unified(
         # 批量查询 voice_id → profile_id 映射，填充 voice_clone_profile_id
         voice_ids = [i.voice_id for i in clone_items_raw if i.voice_id]
         profile_id_map = clone_profile_repository.find_profile_ids_by_voice_ids(voice_ids) if voice_ids else {}
-        clone_items = [_to_unified_response(i, profile_id_map) for i in clone_items_raw]
+        clone_items = [_to_unified_response(i, profile_id_map, sign_url) for i in clone_items_raw]
 
     # 组装结果
     if type == "preset":
@@ -224,6 +232,7 @@ def list_voices_legacy(
     limit: int = Query(50, ge=1, le=200),
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
     voice_repository: SQLAlchemyVoiceLibraryRepository = Depends(_get_voice_repository),
+    sign_url=Depends(get_audio_url_signer),
 ) -> ListVoiceLibraryResponse:
     """原有配音列表接口（仅返回用户克隆音色）。
 
@@ -233,7 +242,7 @@ def list_voices_legacy(
     use_case = ListVoiceLibraryUseCase(voice_repository)
     items, total = use_case.execute(user_id, status=status_filter, skip=skip, limit=limit)
     return ListVoiceLibraryResponse(
-        items=[_to_response(i) for i in items],
+        items=[_to_response(i, sign_url) for i in items],
         total=total,
     )
 
@@ -243,13 +252,14 @@ def get_voice(
     voice_id: str,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
     voice_repository: SQLAlchemyVoiceLibraryRepository = Depends(_get_voice_repository),
+    sign_url=Depends(get_audio_url_signer),
 ) -> VoiceLibraryItemResponse:
     user_id = authenticated_user.user.id
     use_case = GetVoiceLibraryUseCase(voice_repository)
     item = use_case.execute(voice_id, user_id)
     if item is None:
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Voice not found")
-    return _to_response(item)
+    return _to_response(item, sign_url)
 
 
 @router.post("", response_model=VoiceLibraryItemResponse, status_code=status.HTTP_201_CREATED)
@@ -258,6 +268,7 @@ def create_voice(
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
     voice_repository: SQLAlchemyVoiceLibraryRepository = Depends(_get_voice_repository),
     user_repository: UserRepository = Depends(get_user_repository),
+    sign_url=Depends(get_audio_url_signer),
 ) -> VoiceLibraryItemResponse:
     user_id = authenticated_user.user.id
     plan_name = _get_user_plan(user_id, user_repository)
@@ -283,7 +294,7 @@ def create_voice(
             status_code=status.HTTP_429_TOO_MANY_REQUESTS,
             detail=f"配音库配额已满（{exc.used}/{exc.limit}），请升级套餐",
         )
-    return _to_response(item)
+    return _to_response(item, sign_url)
 
 
 @router.put("/{voice_id}", response_model=VoiceLibraryItemResponse)
@@ -292,6 +303,7 @@ def update_voice(
     request: UpdateVoiceLibraryRequest,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
     voice_repository: SQLAlchemyVoiceLibraryRepository = Depends(_get_voice_repository),
+    sign_url=Depends(get_audio_url_signer),
 ) -> VoiceLibraryItemResponse:
     user_id = authenticated_user.user.id
     command = UpdateVoiceLibraryCommand(
@@ -313,7 +325,7 @@ def update_voice(
         item = use_case.execute(command)
     except NotFoundError:
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Voice not found")
-    return _to_response(item)
+    return _to_response(item, sign_url)
 
 
 @router.delete("/{voice_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None)

apps/api/app/config.py

@@ -79,6 +79,27 @@ class Settings(BaseSettings):
     OSS_ACCESS_KEY_ID: str = ""
     OSS_ACCESS_KEY_SECRET: str = ""
     OSS_BUCKET_NAME: str = "xiaoxia-autocut"
+
+    @field_validator("OSS_ACCESS_KEY_ID", mode="before")
+    @classmethod
+    def validate_oss_access_key_id(cls, v):
+        if (v is None or v == "") and os.getenv("APP_ENV", "development") != "development":
+            raise ValueError(
+                "OSS_ACCESS_KEY_ID must be set via environment variable in non-development environments. "
+                "Check the server .env file (e.g. /var/lib/xiaoxia-saas-staging/.env)."
+            )
+        return v or ""
+
+    @field_validator("OSS_ACCESS_KEY_SECRET", mode="before")
+    @classmethod
+    def validate_oss_access_key_secret(cls, v):
+        if (v is None or v == "") and os.getenv("APP_ENV", "development") != "development":
+            raise ValueError(
+                "OSS_ACCESS_KEY_SECRET must be set via environment variable in non-development environments. "
+                "Check the server .env file (e.g. /var/lib/xiaoxia-saas-staging/.env)."
+            )
+        return v or ""
+
     OSS_DIRECT_UPLOAD_MAX_MB: int = Field(
         default=2000,
         validation_alias=AliasChoices("OSS_DIRECT_UPLOAD_MAX_MB", "MAX_UPLOAD_SIZE_MB"),
@@ -88,6 +109,9 @@ class Settings(BaseSettings):
     LOG_LEVEL: str = "INFO"
     CORS_ORIGINS_RAW: str = "http://localhost:3000,http://localhost:5173,http://localhost:8000"
 
+    # 渲染引擎选择：legacy=旧VideoComposeService，unified=新UnifiedRenderService
+    RENDER_ENGINE: str = "legacy"
+
     model_config = SettingsConfigDict(
         env_file=".env",
         env_file_encoding="utf-8",

apps/api/app/core/storage.py

@@ -34,13 +34,18 @@ class OSSStorageService:
         if has_key_id and has_key_secret:
             if oss2 is not None:
                 try:
+                    # P0-2 修复：oss2.Bucket 的 endpoint 必须带 https:// 前缀，
+                    # 否则 sign_url 默认生成 HTTP URL。
+                    bucket_endpoint = settings.OSS_ENDPOINT
+                    if not bucket_endpoint.startswith(("http://", "https://")):
+                        bucket_endpoint = f"https://{bucket_endpoint}"
                     auth = oss2.Auth(
                         settings.OSS_ACCESS_KEY_ID,
                         settings.OSS_ACCESS_KEY_SECRET,
                     )
                     self.bucket = oss2.Bucket(
                         auth,
-                        settings.OSS_ENDPOINT,
+                        bucket_endpoint,
                         settings.OSS_BUCKET_NAME,
                     )
                     logger.info(
@@ -64,6 +69,26 @@ class OSSStorageService:
         self.access_key_secret = settings.OSS_ACCESS_KEY_SECRET
         self.endpoint = settings.OSS_ENDPOINT
 
+    def diagnose(self) -> None:
+        """启动诊断：输出 OSS 配置状态，帮助排查预签名 URL 问题。"""
+        key_id_display = (
+            f"{self.access_key_id[:4]}...{self.access_key_id[-4:]}" if len(self.access_key_id) > 8 else "(empty)"
+        )
+        logger.info(
+            "[OSS诊断] endpoint=%s bucket_name=%s access_key_id=%s",
+            self.endpoint,
+            self.bucket_name,
+            key_id_display,
+        )
+        if self.bucket is None:
+            logger.error(
+                "[OSS诊断] ❌ bucket=None — 预签名URL不可用！"
+                "原因: OSS_ACCESS_KEY_ID/OSS_ACCESS_KEY_SECRET 未配置或 oss2 未安装。"
+                "请检查服务器 .env 文件（如 /var/lib/xiaoxia-saas-staging/.env）"
+            )
+        else:
+            logger.info("[OSS诊断] ✅ bucket 已配置，预签名URL可用")
+
     def _is_local_generated_url(self, storage_key_or_url: str) -> bool:
         parsed = urlparse(storage_key_or_url)
         path = parsed.path if parsed.scheme else storage_key_or_url
@@ -166,12 +191,26 @@ class OSSStorageService:
         if self.bucket is None:
             if self._is_local_generated_url(storage_key_or_url):
                 return storage_key_or_url
+            logger.warning(
+                "get_download_url: OSS bucket not configured, returning raw URL. " "storage_key_or_url=%s",
+                storage_key_or_url[:200],
+            )
             return self.get_url(self._normalize_storage_key(storage_key_or_url))
 
         storage_key = self._normalize_storage_key(storage_key_or_url)
         try:
-            return self.bucket.sign_url("GET", storage_key, expires_seconds)
+            signed = self.bucket.sign_url("GET", storage_key, expires_seconds)
+            logger.info(
+                "get_download_url: signed URL generated. storage_key=%s url_prefix=%s",
+                storage_key[:80],
+                signed[:60],
+            )
+            return signed
         except Exception:
+            logger.exception(
+                "get_download_url: sign_url failed, falling back to raw URL. " "storage_key=%s",
+                storage_key[:200],
+            )
             return self.get_url(storage_key)
 
     def _normalize_storage_key(self, storage_key_or_url: str) -> str:
@@ -240,4 +279,5 @@ def get_storage_service() -> OSSStorageService:
     global _storage_service
     if _storage_service is None:
         _storage_service = OSSStorageService()
+        _storage_service.diagnose()
     return _storage_service

apps/api/app/core/task_enqueue.py

@@ -0,0 +1,221 @@
+import logging
+from typing import Any
+
+from app.core.celery_app import celery_app
+
+logger = logging.getLogger(__name__)
+
+# ── 限流阈值常量（全系统统一管理，不要在业务代码里硬编码） ──
+USER_PENDING_LIMIT = 3  # 单用户 pending 上限
+GLOBAL_PENDING_LIMIT = 20  # 全局 pending 上限
+
+
+class UserPendingLimitExceeded(Exception):
+    """用户 pending 任务数超限，返回 429。"""
+
+    def __init__(self, user_id: str, pending_count: int, limit: int):
+        self.user_id = user_id
+        self.pending_count = pending_count
+        self.limit = limit
+        super().__init__(f"用户 {user_id} pending 任务数 {pending_count} 超过上限 {limit}")
+
+
+class GlobalQueueFull(Exception):
+    """全局限流，返回 503。"""
+
+    def __init__(self, pending_count: int, limit: int):
+        self.pending_count = pending_count
+        self.limit = limit
+        super().__init__(f"系统 pending 任务数 {pending_count} 超过上限 {limit}")
+
+
+def check_queue_limits(
+    user_id: str,
+    generation_task_repository: Any,
+    *,
+    user_pending_limit: int = USER_PENDING_LIMIT,
+    global_pending_limit: int = GLOBAL_PENDING_LIMIT,
+) -> None:
+    """检查队列限流（预检查用，任务创建前调用），超限抛对应异常。
+
+    边界语义：>= 上限即拒绝（达到上限就不能再加新任务）。
+
+    Args:
+        user_id: 用户 ID
+        generation_task_repository: 任务仓储
+        user_pending_limit: 单用户 pending 上限，默认 USER_PENDING_LIMIT
+        global_pending_limit: 全局 pending 上限，默认 GLOBAL_PENDING_LIMIT
+
+    Raises:
+        GlobalQueueFull: 全局超限时抛出（优先级更高，先查全局）
+        UserPendingLimitExceeded: 用户超限时抛出
+    """
+    # 先查全局（系统级保护优先级更高）
+    global_pending = generation_task_repository.count_pending_total()
+    if global_pending >= global_pending_limit:
+        logger.warning(
+            "[队列限流] 全局 pending 任务数超限: %d/%d, user_id=%s",
+            global_pending,
+            global_pending_limit,
+            user_id,
+        )
+        raise GlobalQueueFull(pending_count=global_pending, limit=global_pending_limit)
+
+    # 再查用户级
+    if user_id:
+        user_pending = generation_task_repository.count_pending_by_user(user_id)
+        if user_pending >= user_pending_limit:
+            logger.warning(
+                "[队列限流] 用户 pending 任务数超限: user_id=%s, count=%d/%d",
+                user_id,
+                user_pending,
+                user_pending_limit,
+            )
+            raise UserPendingLimitExceeded(user_id=user_id, pending_count=user_pending, limit=user_pending_limit)
+
+
+def _mark_task_failed_safely(
+    task: Any,
+    generation_task_repository: Any,
+    log_prefix: str,
+    reason: str,
+) -> None:
+    """安全地把任务标记为 failed，更新失败只打日志不崩溃。"""
+    try:
+        task.mark_failed(f"任务被限流拒绝: {reason}")
+        generation_task_repository.update(task)
+    except Exception as update_err:
+        logger.error(
+            "%s 限流后更新状态也失败: task_id=%s error=%s",
+            log_prefix,
+            task.id,
+            update_err,
+            exc_info=True,
+        )
+
+
+def safe_enqueue_generation_task(
+    task: Any,
+    generation_task_repository: Any,
+    *,
+    user_id: str = "",
+    log_prefix: str = "[任务队列]",
+    log_task_status: bool = False,
+    user_pending_limit: int = USER_PENDING_LIMIT,
+    global_pending_limit: int = GLOBAL_PENDING_LIMIT,
+) -> bool:
+    """安全入队：入队前限流检查 → 发送 Celery 任务 → 入队后最终校验兜底。
+
+    边界说明：
+    入队前检查用 > 而非 >=。因为调用此函数时 task 已经是 pending 状态并计入 DB，
+    pending 总数包含了当前任务本身。pending > limit 等价于"其他任务数 >= limit"，
+    与预检查的 >= 语义一致（都是达到上限就拒绝新任务）。
+
+    入队后最终校验：发送 Celery 成功后再查一次 DB 计数，处理并发竞态场景
+    （两个请求同时通过入队前检查，后到的那个在这里被兜住）。
+
+    Args:
+        task: 生成任务对象，需有 id 属性和 mark_failed 方法（状态已为 pending）
+        generation_task_repository: 任务仓储，用于更新状态
+        user_id: 用户 ID，传了才做用户级限流检查
+        log_prefix: 日志前缀，便于区分调用来源
+        log_task_status: 成功日志中是否额外打印任务状态
+        user_pending_limit: 单用户 pending 上限，默认 USER_PENDING_LIMIT
+        global_pending_limit: 全局 pending 上限，默认 GLOBAL_PENDING_LIMIT
+
+    Returns:
+        True 表示入队成功，False 表示入队失败（已标记为 failed）
+
+    Raises:
+        GlobalQueueFull: 全局 pending 超限时抛出，任务会被标记为 failed
+        UserPendingLimitExceeded: 用户 pending 超限时抛出，任务会被标记为 failed
+    """
+    # ── 入队前检查：任务已是 pending，用 > 判断（包含当前任务） ──
+
+    # 全局限流检查（始终生效）
+    global_pending = generation_task_repository.count_pending_total()
+    if global_pending > global_pending_limit:
+        logger.warning(
+            "[队列限流] 全局 pending 任务数超限(入队前): %d/%d, user_id=%s",
+            global_pending,
+            global_pending_limit,
+            user_id or "unknown",
+        )
+        exc = GlobalQueueFull(pending_count=global_pending, limit=global_pending_limit)
+        _mark_task_failed_safely(task, generation_task_repository, log_prefix, str(exc))
+        raise exc
+
+    # 用户级限流检查（传了 user_id 才做）
+    if user_id:
+        user_pending = generation_task_repository.count_pending_by_user(user_id)
+        if user_pending > user_pending_limit:
+            logger.warning(
+                "[队列限流] 用户 pending 任务数超限(入队前): user_id=%s, count=%d/%d",
+                user_id,
+                user_pending,
+                user_pending_limit,
+            )
+            exc = UserPendingLimitExceeded(user_id=user_id, pending_count=user_pending, limit=user_pending_limit)
+            _mark_task_failed_safely(task, generation_task_repository, log_prefix, str(exc))
+            raise exc
+
+    # ── 发送 Celery 任务 ──
+    try:
+        celery_app.send_task("worker.generate_video", args=[task.id])
+    except Exception as e:
+        logger.error(
+            "%s 入队失败，标记为失败: task_id=%s error=%s",
+            log_prefix,
+            task.id,
+            e,
+            exc_info=True,
+        )
+        try:
+            task.mark_failed(f"任务入队失败: {e}")
+            generation_task_repository.update(task)
+        except Exception as update_err:
+            logger.error(
+                "%s 入队失败后更新状态也失败: task_id=%s error=%s",
+                log_prefix,
+                task.id,
+                update_err,
+                exc_info=True,
+            )
+        return False
+
+    # ── 入队后最终校验：并发竞态兜底 ──
+    # 发送成功后再查一次，防止两个请求同时通过入队前检查导致超限
+    global_after = generation_task_repository.count_pending_total()
+    user_after = generation_task_repository.count_pending_by_user(user_id) if user_id else 0
+
+    global_over = global_after > global_pending_limit
+    user_over = bool(user_id and user_after > user_pending_limit)
+
+    if global_over or user_over:
+        if global_over:
+            reason = f"全局 pending 超限(入队后): {global_after}/{global_pending_limit}"
+            exc: Exception = GlobalQueueFull(pending_count=global_after, limit=global_pending_limit)
+        else:
+            reason = f"用户 pending 超限(入队后): {user_after}/{user_pending_limit}"
+            exc = UserPendingLimitExceeded(user_id=user_id, pending_count=user_after, limit=user_pending_limit)
+
+        logger.warning(
+            "[队列限流] %s, task_id=%s, user_id=%s — 回滚状态为 failed",
+            reason,
+            task.id,
+            user_id or "unknown",
+        )
+        _mark_task_failed_safely(task, generation_task_repository, log_prefix, reason)
+        raise exc
+
+    # 入队成功日志
+    if log_task_status:
+        logger.info(
+            "%s 入队成功: task_id=%s, status=%s",
+            log_prefix,
+            task.id,
+            task.status,
+        )
+    else:
+        logger.info("%s 入队成功: task_id=%s", log_prefix, task.id)
+    return True

apps/api/app/dependencies.py

@@ -201,7 +201,37 @@ def get_voice_clone_profile_repository(
 
 
 def get_cosyvoice_service():
-    """Provide the CosyVoice service instance."""
+    """Provide the CosyVoice service instance.
+
+    注入 OSS 音频URL预签名函数，确保私有bucket下的参考音频
+    能被 CosyVoice 服务器下载。
+    """
+    from app.core.storage import get_storage_service
+
     from packages.application.cosyvoice_service import CosyVoiceService
 
-    return CosyVoiceService()
+    storage = get_storage_service()
+
+    def _sign_audio_url(url: str) -> str:
+        """对音频URL做预签名，私有bucket下 CosyVoice 服务器才能下载."""
+        return storage.get_download_url(url, expires_seconds=86400)
+
+    return CosyVoiceService(audio_url_signer=_sign_audio_url)
+
+
+def get_audio_url_signer():
+    """提供音频URL预签名函数（24小时有效期）。
+
+    用于所有 API 返回给前端的音频 URL，确保私有 OSS bucket 下可正常访问。
+    空 URL、非 OSS URL 直接原样返回；签名失败时回退到原始 URL。
+    """
+    from app.core.storage import get_storage_service
+
+    storage = get_storage_service()
+
+    def sign_audio_url(url: str) -> str:
+        if not url:
+            return url
+        return storage.get_download_url(url, expires_seconds=86400)
+
+    return sign_audio_url

apps/api/app/schemas/generation_task.py

@@ -1,4 +1,6 @@
-from pydantic import BaseModel, Field, model_validator
+import json
+
+from pydantic import BaseModel, Field, field_validator, model_validator
 
 
 class CreateGenerationTaskRequest(BaseModel):
@@ -62,6 +64,21 @@ class GenerationTaskResponse(BaseModel):
     progress: float
     result_count: int
     error_message: str
+    logs: list[dict] = Field(default_factory=list)
+
+    @field_validator("logs", mode="before")
+    @classmethod
+    def _parse_logs(cls, v: object) -> list[dict]:
+        """将 JSON 字符串解析为 list[dict]。"""
+        if isinstance(v, str):
+            try:
+                parsed = json.loads(v)
+                return parsed if isinstance(parsed, list) else []
+            except (json.JSONDecodeError, TypeError):
+                return []
+        if isinstance(v, list):
+            return v
+        return []
 
 
 class BatchGenerationTaskResponse(BaseModel):

apps/api/app/services/__init__.py

@@ -4,6 +4,7 @@ from .auto_clip_service import AutoClipService
 from .edit_plan_service import EditPlanService
 from .edit_template_service import EditTemplateService
 from .job_service import JobService
+from .plan_generator_service import PlanGeneratorService
 from .video_compose_service import VideoComposeService
 
 __all__ = [
@@ -11,5 +12,6 @@ __all__ = [
     "EditPlanService",
     "EditTemplateService",
     "JobService",
+    "PlanGeneratorService",
     "VideoComposeService",
 ]

apps/api/app/services/edit_template_service.py

@@ -100,6 +100,7 @@ class EditTemplateService:
         *,
         description: str = "",
         template_type: str = "default",
+        editing_mode: str = "one_take",
         config: Optional[dict[str, Any]] = None,
         preview_url: str = "",
         sort_weight: int = 0,
@@ -124,6 +125,7 @@ class EditTemplateService:
             name=clean_name,
             description=description,
             template_type=template_type,
+            editing_mode=editing_mode,
             config=config,
             preview_url=preview_url,
             sort_weight=sort_weight,
@@ -139,6 +141,7 @@ class EditTemplateService:
         name: Optional[str] = None,
         description: Optional[str] = None,
         template_type: Optional[str] = None,
+        editing_mode: Optional[str] = None,
         config: Optional[dict[str, Any]] = None,
         preview_url: Optional[str] = None,
         sort_weight: Optional[int] = None,
@@ -165,6 +168,7 @@ class EditTemplateService:
             name=new_name,
             description=description.strip() if description is not None else existing.description,
             template_type=template_type.strip() if template_type is not None else existing.template_type,
+            editing_mode=editing_mode.strip() if editing_mode is not None else existing.editing_mode,
             config=config if config is not None else existing.config,
             preview_url=preview_url.strip() if preview_url is not None else existing.preview_url,
             sort_weight=sort_weight if sort_weight is not None else existing.sort_weight,

apps/api/app/services/plan_generator_service.py

@@ -0,0 +1,391 @@
+"""PlanGeneratorService — 基于模板+素材自动生成剪辑计划.
+
+核心职责:
+- 根据 EditTemplate 的 editing_mode 和 TemplateClipConfig 列表，
+  自动生成 EditPlan + EditPlanClip 列表
+- 四种模式素材分配策略:
+  - ONE_TAKE: 素材顺序分配给 main 类型 clips
+  - PIP: 第1个素材→main(全屏背景)，其余→overlay clips
+  - VOICE_OVER: 素材→main clips (B-roll)，标记需要配音叠加
+  - VOICE_PIP: 第1个→background, 第2个→corner_voice, 其余→b_roll
+"""
+
+from __future__ import annotations
+
+import logging
+from typing import Any, List, Optional
+
+from sqlalchemy.orm import Session
+
+from packages.adapters.sqlalchemy_impl import (
+    SQLAlchemyEditPlanClipRepository,
+    SQLAlchemyEditPlanRepository,
+)
+from packages.domain.config_schemas import normalize_plan_config
+from packages.domain.edit_plan import EditPlan
+from packages.domain.edit_plan_clip import EditPlanClip
+from packages.domain.edit_template import EditTemplate
+from packages.domain.editing_mode import EditingMode
+from packages.domain.template_clip_config import ClipType, TemplateClipConfig
+
+logger = logging.getLogger(__name__)
+
+
+# ── 默认片段时长（秒） ────────────────────────────────────────────────────────
+_DEFAULT_CLIP_DURATION = 5.0
+_DEFAULT_INTRO_DURATION = 3.0
+_DEFAULT_OUTRO_DURATION = 3.0
+
+
+class PlanGeneratorService:
+    """剪辑计划生成器
+
+    基于模板 + 素材，自动生成 EditPlan 及 EditPlanClip 列表。
+    """
+
+    def __init__(self, db: Session) -> None:
+        self._plan_repo = SQLAlchemyEditPlanRepository(db)
+        self._clip_repo = SQLAlchemyEditPlanClipRepository(db)
+
+    # ── 公开接口 ─────────────────────────────────────────────────────────────
+
+    def generate_from_template(
+        self,
+        template: EditTemplate,
+        clip_configs: List[TemplateClipConfig],
+        asset_ids: List[str],
+        *,
+        project_id: str = "",
+        created_by_user_id: str = "",
+        name: str = "",
+    ) -> dict[str, Any]:
+        """基于模板+素材生成剪辑计划
+
+        Args:
+            template: 剪辑模板实体
+            clip_configs: 模板片段配置列表（可为空，自动生成默认结构）
+            asset_ids: 素材 ID 列表
+            project_id: 所属项目 ID
+            created_by_user_id: 创建者用户 ID
+            name: 计划名称（为空则自动取模板名）
+
+        Returns:
+            dict: {"plan": EditPlan, "clips": List[EditPlanClip]}
+        """
+        editing_mode = template.editing_mode or EditingMode.ONE_TAKE.value
+        plan_name = name.strip() or f"{template.name} - 剪辑计划"
+
+        # 1. 构建 plan config（继承模板的 title/subtitle/bgm，记录 editing_mode）
+        plan_config = self._build_plan_config(template, editing_mode)
+
+        # 2. 创建 EditPlan
+        plan = EditPlan.create(
+            template_id=template.id,
+            name=plan_name,
+            config=plan_config,
+            total_duration=0.0,
+            project_id=project_id,
+            created_by_user_id=created_by_user_id,
+        )
+        plan = self._plan_repo.create(plan)
+        logger.info(
+            "生成剪辑计划: plan_id=%s template=%s mode=%s assets=%d",
+            plan.id,
+            template.id,
+            editing_mode,
+            len(asset_ids),
+        )
+
+        # 3. 生成片段列表
+        if clip_configs:
+            clips = self._create_clips_from_configs(plan.id, clip_configs)
+        else:
+            clips = self._generate_default_clips(plan.id, editing_mode, len(asset_ids))
+
+        # 4. 按 editing_mode 分配素材
+        if asset_ids:
+            self._distribute_assets(clips, asset_ids, editing_mode)
+
+        # 5. 持久化所有 clips 并计算总时长
+        created_clips: List[EditPlanClip] = []
+        total_duration = 0.0
+        for clip in clips:
+            saved = self._clip_repo.create(clip)
+            created_clips.append(saved)
+            total_duration += saved.duration
+
+        # 6. 更新 plan 的 total_duration
+        plan.total_duration = total_duration
+        plan = self._plan_repo.update(plan)
+
+        # 7. 流转到 editing 状态
+        try:
+            plan.start_editing()
+            plan = self._plan_repo.update(plan)
+        except ValueError as exc:
+            logger.warning("计划状态流转失败: plan_id=%s error=%s", plan.id, exc)
+
+        logger.info(
+            "剪辑计划生成完成: plan_id=%s clips=%d duration=%.1f",
+            plan.id,
+            len(created_clips),
+            total_duration,
+        )
+
+        return {"plan": plan, "clips": created_clips}
+
+    # ── 内部方法 ─────────────────────────────────────────────────────────────
+
+    def _build_plan_config(
+        self,
+        template: EditTemplate,
+        editing_mode: str,
+    ) -> dict[str, Any]:
+        """从模板配置构建 plan config"""
+        template_config = template.config or {}
+        plan_config: dict[str, Any] = {
+            "editing_mode": editing_mode,
+        }
+        # 继承模板的 cover/title/subtitle/bgm 配置
+        for key in ("cover", "title", "subtitle", "bgm"):
+            if key in template_config:
+                plan_config[key] = template_config[key]
+
+        return normalize_plan_config(plan_config)
+
+    def _create_clips_from_configs(
+        self,
+        plan_id: str,
+        clip_configs: List[TemplateClipConfig],
+    ) -> List[EditPlanClip]:
+        """从 TemplateClipConfig 列表创建 EditPlanClip 列表（未持久化）"""
+        clips: List[EditPlanClip] = []
+        # 按 order 排序
+        sorted_configs = sorted(clip_configs, key=lambda c: c.order)
+
+        for cfg in sorted_configs:
+            # 计算时长：取 min_duration 和 max_duration 的中间值
+            if cfg.min_duration > 0 and cfg.max_duration > 0:
+                duration = (cfg.min_duration + cfg.max_duration) / 2
+            elif cfg.min_duration > 0:
+                duration = cfg.min_duration
+            elif cfg.max_duration > 0:
+                duration = cfg.max_duration
+            else:
+                duration = _DEFAULT_CLIP_DURATION
+
+            # clip_type 可能是枚举或字符串
+            clip_type = cfg.clip_type.value if hasattr(cfg.clip_type, "value") else cfg.clip_type
+
+            # transition_effect 可能是枚举或字符串
+            transition = (
+                cfg.transition_effect.value if hasattr(cfg.transition_effect, "value") else cfg.transition_effect
+            )
+
+            clip = EditPlanClip.create(
+                plan_id=plan_id,
+                clip_type=clip_type,
+                order=cfg.order,
+                template_clip_config_id=cfg.id,
+                text_content=getattr(cfg, "text_template", "") or "",
+                duration=duration,
+                transition_effect=transition or "cut",
+            )
+            clips.append(clip)
+
+        return clips
+
+    def _generate_default_clips(
+        self,
+        plan_id: str,
+        editing_mode: str,
+        asset_count: int,
+    ) -> List[EditPlanClip]:
+        """无 clip_configs 时，根据 editing_mode 生成默认 clip 结构
+
+        - ONE_TAKE: N 个 main clips（N = asset_count，至少1个）
+        - PIP: 1 个 main + (N-1) 个 overlay（N = asset_count）
+        - VOICE_OVER: N 个 main clips + 标记需要配音
+        - VOICE_PIP: 1 个 background + 1 个 corner_voice + (N-2) 个 b_roll
+        """
+        n = max(asset_count, 1)
+        clips: List[EditPlanClip] = []
+        order = 0
+
+        if editing_mode == EditingMode.PIP.value:
+            # 1 个 main（全屏背景）
+            clips.append(
+                EditPlanClip.create(
+                    plan_id=plan_id,
+                    clip_type=ClipType.MAIN.value,
+                    order=order,
+                    duration=_DEFAULT_CLIP_DURATION,
+                )
+            )
+            order += 1
+            # 剩余为 overlay
+            for i in range(1, n):
+                clips.append(
+                    EditPlanClip.create(
+                        plan_id=plan_id,
+                        clip_type="overlay",
+                        order=order,
+                        duration=_DEFAULT_CLIP_DURATION,
+                    )
+                )
+                order += 1
+
+        elif editing_mode == EditingMode.VOICE_OVER.value:
+            # N 个 main clips（B-roll）
+            for i in range(n):
+                clips.append(
+                    EditPlanClip.create(
+                        plan_id=plan_id,
+                        clip_type=ClipType.MAIN.value,
+                        order=order,
+                        duration=_DEFAULT_CLIP_DURATION,
+                        config={"role": "b_roll"},
+                    )
+                )
+                order += 1
+
+        elif editing_mode == EditingMode.VOICE_PIP.value:
+            # 1 个 background
+            clips.append(
+                EditPlanClip.create(
+                    plan_id=plan_id,
+                    clip_type="background",
+                    order=order,
+                    duration=_DEFAULT_CLIP_DURATION,
+                )
+            )
+            order += 1
+            # 1 个 corner_voice
+            clips.append(
+                EditPlanClip.create(
+                    plan_id=plan_id,
+                    clip_type="corner_voice",
+                    order=order,
+                    duration=_DEFAULT_CLIP_DURATION,
+                )
+            )
+            order += 1
+            # 剩余为 b_roll
+            for i in range(2, n):
+                clips.append(
+                    EditPlanClip.create(
+                        plan_id=plan_id,
+                        clip_type="b_roll",
+                        order=order,
+                        duration=_DEFAULT_CLIP_DURATION,
+                    )
+                )
+                order += 1
+
+        else:
+            # ONE_TAKE: N 个 main clips
+            for i in range(n):
+                clips.append(
+                    EditPlanClip.create(
+                        plan_id=plan_id,
+                        clip_type=ClipType.MAIN.value,
+                        order=order,
+                        duration=_DEFAULT_CLIP_DURATION,
+                    )
+                )
+                order += 1
+
+        return clips
+
+    def _distribute_assets(
+        self,
+        clips: List[EditPlanClip],
+        asset_ids: List[str],
+        editing_mode: str,
+    ) -> None:
+        """按 editing_mode 将素材分配到 clips（就地修改，未持久化）
+
+        分配策略:
+        - ONE_TAKE: 素材按顺序依次分配给 main 类型 clips
+        - PIP: 第1个素材→main(全屏背景)，其余→交替分配给 overlay clips
+        - VOICE_OVER: 素材→main clips (B-roll)
+        - VOICE_PIP: 第1个→background, 第2个→corner_voice, 其余→b_roll
+        """
+        if not asset_ids or not clips:
+            return
+
+        if editing_mode == EditingMode.ONE_TAKE.value:
+            self._distribute_one_take(clips, asset_ids)
+        elif editing_mode == EditingMode.PIP.value:
+            self._distribute_pip(clips, asset_ids)
+        elif editing_mode == EditingMode.VOICE_OVER.value:
+            self._distribute_voice_over(clips, asset_ids)
+        elif editing_mode == EditingMode.VOICE_PIP.value:
+            self._distribute_voice_pip(clips, asset_ids)
+        else:
+            # 未知模式，退化为 one_take
+            self._distribute_one_take(clips, asset_ids)
+
+    def _distribute_one_take(
+        self,
+        clips: List[EditPlanClip],
+        asset_ids: List[str],
+    ) -> None:
+        """ONE_TAKE: 素材按顺序依次分配给 main 类型 clips"""
+        main_clips = [c for c in clips if c.clip_type == ClipType.MAIN.value]
+        for i, clip in enumerate(main_clips):
+            if i < len(asset_ids):
+                clip.assign_asset(asset_ids[i])
+
+    def _distribute_pip(
+        self,
+        clips: List[EditPlanClip],
+        asset_ids: List[str],
+    ) -> None:
+        """PIP: 第1个素材→main(全屏背景)，其余→overlay clips"""
+        # 第1个素材 → main clip
+        main_clips = [c for c in clips if c.clip_type == ClipType.MAIN.value]
+        if main_clips and asset_ids:
+            main_clips[0].assign_asset(asset_ids[0])
+
+        # 其余素材 → overlay clips
+        overlay_clips = [c for c in clips if c.clip_type == "overlay"]
+        remaining = asset_ids[1:]
+        for i, clip in enumerate(overlay_clips):
+            if i < len(remaining):
+                clip.assign_asset(remaining[i])
+
+    def _distribute_voice_over(
+        self,
+        clips: List[EditPlanClip],
+        asset_ids: List[str],
+    ) -> None:
+        """VOICE_OVER: 素材→main clips (B-roll)"""
+        main_clips = [c for c in clips if c.clip_type == ClipType.MAIN.value]
+        for i, clip in enumerate(main_clips):
+            if i < len(asset_ids):
+                clip.assign_asset(asset_ids[i])
+
+    def _distribute_voice_pip(
+        self,
+        clips: List[EditPlanClip],
+        asset_ids: List[str],
+    ) -> None:
+        """VOICE_PIP: 第1个→background, 第2个→corner_voice, 其余→b_roll"""
+        bg_clips = [c for c in clips if c.clip_type == "background"]
+        corner_clips = [c for c in clips if c.clip_type == "corner_voice"]
+        broll_clips = [c for c in clips if c.clip_type == "b_roll"]
+
+        # 第1个素材 → background
+        if bg_clips and len(asset_ids) > 0:
+            bg_clips[0].assign_asset(asset_ids[0])
+
+        # 第2个素材 → corner_voice
+        if corner_clips and len(asset_ids) > 1:
+            corner_clips[0].assign_asset(asset_ids[1])
+
+        # 其余素材 → b_roll
+        remaining = asset_ids[2:]
+        for i, clip in enumerate(broll_clips):
+            if i < len(remaining):
+                clip.assign_asset(remaining[i])

apps/web/src/api/dashboard.ts

@@ -1,42 +0,0 @@
-/**
- * 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;
-};

apps/web/src/components/business/business.css

@@ -1,365 +0,0 @@
-/* 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;
-}

apps/web/src/config/navigation.tsx

@@ -1,211 +0,0 @@
-/**
- * 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 />,
-      },
-    ],
-  },
-];

apps/web/src/pages/admin/Admin.css

@@ -75,35 +75,6 @@
   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;
@@ -302,17 +273,6 @@
   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;

apps/web/src/pages/generate/generate.css

@@ -612,54 +612,6 @@
   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
    ============================================================ */

apps/web/src/router/index.tsx

@@ -170,13 +170,6 @@ export const router = createBrowserRouter([
             Component: m.default,
           })),
       },
-      {
-        path: "my-voices",
-        lazy: () =>
-          import("@/pages/my-voices/MyVoices").then((m) => ({
-            Component: m.default,
-          })),
-      },
       {
         path: "accounts",
         lazy: () =>

apps/worker/video_processing/__init__.py

@@ -1,7 +1,17 @@
 """
 视频处理模块
+
+轻量工具（ffmpeg_utils / oss_helpers / dedup_helpers）顶层直接导出，
+无额外依赖。渲染相关组件（UnifiedRenderService / RenderAdapter /
+VideoProcessor 等）按需从子模块导入，避免 __init__ 阶段引入
+packages / DB 等重依赖。
 """
 
-from .processor import VideoProcessor, VideoResult
+# 共享工具模块（零外部依赖，供 editing_modes / generation / edit_plan_generation 等复用）
+from . import dedup_helpers, ffmpeg_utils, oss_helpers
 
-__all__ = ["VideoProcessor", "VideoResult"]
+__all__ = [
+    "ffmpeg_utils",
+    "oss_helpers",
+    "dedup_helpers",
+]

apps/worker/video_processing/dedup.py

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

apps/worker/video_processing/dedup_helpers.py

@@ -0,0 +1,126 @@
+"""查重辅助函数 — 从 generation.py 提取的 GeneratedVideo 记录 + 查重逻辑.
+
+供 render_edit_plan 和 generate_video 共同复用，
+创建 GeneratedVideo 记录后计算指纹并执行项目级 + 批次内查重。
+"""
+
+from __future__ import annotations
+
+import logging
+from uuid import uuid4
+
+from sqlalchemy.orm import Session
+
+logger = logging.getLogger(__name__)
+
+
+def create_video_record_and_dedup(
+    *,
+    generation_task_id: str,
+    project_id: str,
+    batch_id: str,
+    file_url: str,
+    file_size: int,
+    duration: float,
+    video_path: str,
+    mode: str,
+    session: Session,
+    width: int = 1280,
+    height: int = 720,
+    fps: float = 25.0,
+) -> int:
+    """创建 GeneratedVideo 记录，计算指纹并执行查重（历史 + 批次）。
+
+    Args:
+        generation_task_id: 生成任务 ID
+        project_id: 项目 ID
+        batch_id: 批次 ID（可为空字符串）
+        file_url: 视频文件 URL
+        file_size: 文件大小（字节）
+        duration: 视频时长（秒）
+        video_path: 视频本地路径（用于计算指纹）
+        mode: 剪辑模式名称
+        session: 数据库会话
+        width: 视频宽度
+        height: 视频高度
+        fps: 视频帧率
+
+    Returns:
+        创建的视频记录数量（1 表示成功，0 表示失败）
+    """
+    from video_processing.dedup import VideoDeduplicator
+
+    from packages.adapters.sqlalchemy_impl.generated_video_repository import (
+        SQLAlchemyGeneratedVideoRepository,
+    )
+    from packages.domain import GeneratedVideo
+
+    try:
+        video_id = uuid4().hex
+        generated_video = GeneratedVideo(
+            id=video_id,
+            project_id=project_id,
+            generation_task_id=generation_task_id,
+            name=f"generated-{generation_task_id[:8]}.mp4",
+            file_url=file_url,
+            file_size=file_size,
+            duration=duration,
+            width=width,
+            height=height,
+            fps=fps,
+            status="completed",
+            generation_params={"mode": mode},
+        )
+
+        video_repo = SQLAlchemyGeneratedVideoRepository(session)
+        video_repo.create(generated_video)
+
+        # 计算视频指纹
+        deduplicator = VideoDeduplicator()
+        try:
+            fingerprint = deduplicator.compute_fingerprint(video_path)
+        except Exception as fp_err:
+            logger.warning("Fingerprint computation failed for %s: %s", video_id, fp_err)
+            session.commit()
+            return 1
+
+        generated_video.video_fingerprint = fingerprint.to_dict()
+
+        # (a) 历史成片查重
+        duplicate_result = deduplicator.check_duplicate(fingerprint, project_id, session)
+
+        # (b) 批次内查重（仅当有 batch_id 时）
+        if not duplicate_result and batch_id:
+            duplicate_result = deduplicator.check_batch_duplicate(fingerprint, batch_id, video_id, session)
+
+        if duplicate_result:
+            generated_video.is_duplicate = True
+            generated_video.duplicate_of = duplicate_result["duplicate_of"]
+            logger.info(
+                "Duplicate detected: %s -> %s (reason=%s, similarity=%.3f)",
+                video_id,
+                duplicate_result["duplicate_of"],
+                duplicate_result["reason"],
+                duplicate_result["similarity"],
+            )
+        else:
+            generated_video.is_duplicate = False
+            generated_video.duplicate_of = None
+
+        video_repo.update(generated_video)
+        session.commit()
+        logger.info(
+            "GeneratedVideo record created: %s (task=%s, dup=%s)",
+            video_id,
+            generation_task_id,
+            generated_video.is_duplicate,
+        )
+        return 1
+    except Exception as e:
+        logger.error(
+            "Failed to create video record / dedup for task %s: %s",
+            generation_task_id,
+            e,
+        )
+        session.rollback()
+        return 0

apps/worker/video_processing/editing_modes.py

@@ -1,700 +0,0 @@
-"""
-视频剪辑模式处理器
-支持四种剪辑模式：一镜到底、画中画、口播、口播+画中画
-"""
-
-import logging
-import os
-import subprocess
-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
-
-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()
-        self._ffmpeg_bin = "ffmpeg"
-        self._ffprobe_bin = "ffprobe"
-
-    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"""
-        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 execution failed: {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"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 = [
-            self._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,
-        ]
-        self._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 = [
-                self._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,
-            ]
-            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/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 = [
-                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/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 = [
-                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/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 = [
-            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/editing_modes.py: {e}", exc_info=True)
-
-        return output_path
-
-
-def create_processor(mode: str, work_dir: Optional[str] = None, **kwargs) -> EditingModeProcessor:
-    """便捷工厂函数：创建剪辑模式处理器"""
-    try:
-        editing_mode = EditingMode(mode)
-    except ValueError:
-        raise ValueError(f"Invalid editing mode: {mode}. Valid modes: {[m.value for m in EditingMode]}")
-
-    config = EditingModeConfig(
-        mode=editing_mode,
-        output_width=kwargs.get("output_width", 1280),
-        output_height=kwargs.get("output_height", 720),
-        output_fps=kwargs.get("output_fps", 25),
-        pip_position=PIPPosition(kwargs.get("pip_position", "top_right")),
-        pip_scale=kwargs.get("pip_scale", 0.25),
-        transition_duration=kwargs.get("transition_duration", 0.5),
-    )
-
-    return EditingModeProcessor(config=config, work_dir=work_dir)

apps/worker/video_processing/ffmpeg_utils.py

@@ -0,0 +1,396 @@
+"""FFmpeg 工具函数 — 共享原语.
+
+提供 FFmpeg / FFprobe 调用、视频信息探测、视频标准化、xfade 转场滤镜构建
+等底层能力，供 UnifiedRenderService、VideoComposeService 等复用。
+"""
+
+from __future__ import annotations
+
+import logging
+import shutil
+import subprocess  # nosec B404
+from pathlib import Path
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+# ── 常量 ──────────────────────────────────────────────────────────────────────
+
+FFMPEG_BIN: str = shutil.which("ffmpeg") or "ffmpeg"
+FFPROBE_BIN: str = shutil.which("ffprobe") or "ffprobe"
+
+DEFAULT_OUTPUT_WIDTH = 1280
+DEFAULT_OUTPUT_HEIGHT = 720
+DEFAULT_FPS = 25
+
+# xfade 转场映射：transition_effect 名称 → FFmpeg xfade transition 名称
+# 键同时支持 TransitionEffect 枚举值和字符串名称（向后兼容）
+XFADE_TRANSITION_MAP: dict[str, str] = {
+    "fade": "fade",
+    "slideleft": "slideleft",
+    "slide_left": "slideleft",
+    "slideright": "slideright",
+    "slide_right": "slideright",
+    "slideup": "slideup",
+    "slide_up": "slideup",
+    "slidedown": "slidedown",
+    "slide_down": "slidedown",
+    "dissolve": "dissolve",
+    "wipe": "wipeleft",
+    "wipeleft": "wipeleft",
+}
+
+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 ───────────────────────────────────────────────────────────────
+
+
+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
+
+    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
+            command,
+            check=True,
+            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()
+        logger.error(
+            "FFmpeg 命令失败: exit_code=%d command=%s\nstderr:\n%s",
+            e.returncode,
+            " ".join(str(c) for c in command[:20]),  # 截断过长的命令
+            stderr_text[:5000],  # 截断过长的 stderr
+        )
+        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）。
+
+    失败时返回默认值 5.0 秒。
+    """
+    try:
+        result = subprocess.run(  # nosec B603
+            [
+                FFPROBE_BIN,
+                "-v",
+                "error",
+                "-show_entries",
+                "format=duration",
+                "-of",
+                "default=noprint_wrappers=1:nokey=1",
+                str(local_path),
+            ],
+            check=True,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+        )
+        return round(float(result.stdout.strip()), 3)
+    except Exception:
+        return 5.0
+
+
+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）。
+
+    Returns:
+        {
+            "width": int, "height": int, "duration": float, "fps": float,
+            "video_codec": str, "audio_codec": str, "pix_fmt": str,
+            "has_audio": bool,
+        }
+        失败时返回默认值。
+    """
+    try:
+        result = subprocess.run(  # nosec B603
+            [
+                FFPROBE_BIN,
+                "-v",
+                "error",
+                "-show_entries",
+                "stream=width,height,r_frame_rate,duration,codec_name,codec_type,pix_fmt",
+                "-show_entries",
+                "format=duration",
+                "-of",
+                "json",
+                video_path,
+            ],
+            check=True,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+            timeout=15,
+        )
+
+        import json
+
+        info = json.loads(result.stdout)
+        streams = info.get("streams", [])
+        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 ""
+
+        # 解析帧率
+        fps_str = video_stream.get("r_frame_rate", "25/1")
+        if "/" in fps_str:
+            num, den = fps_str.split("/")
+            fps = float(num) / float(den) if float(den) > 0 else DEFAULT_FPS
+        else:
+            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 ""
+
+        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)
+        return {
+            "width": DEFAULT_OUTPUT_WIDTH,
+            "height": DEFAULT_OUTPUT_HEIGHT,
+            "duration": 0.0,
+            "fps": DEFAULT_FPS,
+            "video_codec": "",
+            "audio_codec": "",
+            "pix_fmt": "",
+            "has_audio": True,
+        }
+
+
+def normalize_video(
+    input_path: str,
+    output_path: str,
+    *,
+    width: int = DEFAULT_OUTPUT_WIDTH,
+    height: int = DEFAULT_OUTPUT_HEIGHT,
+    fps: int = DEFAULT_FPS,
+) -> dict[str, Any]:
+    """标准化视频（缩放 + 恒定帧率）。
+
+    使用 scale + pad 保持宽高比，黑边填充到目标分辨率。
+
+    Returns:
+        {"width": int, "height": int, "path": str}
+    """
+    command = [
+        FFMPEG_BIN,
+        "-y",
+        "-i",
+        input_path,
+        "-vf",
+        f"scale={width}:{height}:force_original_aspect_ratio=decrease,"
+        f"pad={width}:{height}:(ow-iw)/2:(oh-ih)/2:black,"
+        f"fps={fps}",
+        "-c:v",
+        "libx264",
+        "-crf",
+        "23",
+        "-preset",
+        "medium",
+        "-c:a",
+        "aac",
+        "-b:a",
+        "128k",
+        "-movflags",
+        "+faststart",
+        output_path,
+    ]
+    run_ffmpeg(command)
+    return {"width": width, "height": height, "path": output_path}
+
+
+# ── xfade / concat 滤镜构建 ──────────────────────────────────────────────────
+
+
+def chain_filters(filters: list[str], output_label: str, *, input_label: str = "0:v") -> str:
+    """将滤镜列表串联为 FFmpeg 滤镜字符串。
+
+    例：chain_filters(["scale=1280:720", "fps=25"], "v0")
+    → "[0:v]scale=1280:720,fps=25[v0]"
+    """
+    filter_body = ",".join(filters)
+    return f"[{input_label}]{filter_body}[{output_label}]"
+
+
+def resolve_xfade_transition(transition_name: str) -> str:
+    """将转场效果名称映射为 FFmpeg xfade transition 名称。
+
+    支持 TransitionEffect 枚举值和字符串名称，未知值回退到 "fade"。
+    """
+    # 兼容 TransitionEffect 枚举（有 .value 属性）
+    if hasattr(transition_name, "value"):
+        transition_name = transition_name.value
+    return XFADE_TRANSITION_MAP.get(transition_name, "fade")
+
+
+def build_xfade_filter_chain(
+    clip_durations: list[float],
+    clip_video_labels: list[str],
+    transitions: list[str],
+    *,
+    transition_duration: float = DEFAULT_TRANSITION_DURATION,
+    output_label: str = "outv",
+) -> tuple[str, float]:
+    """构建 xfade 转场滤镜链。
+
+    对每步 xfade 自动钳制 transition duration，确保
+    ``offset + td ≤ first_input_duration``，避免 FFmpeg exit 234。
+
+    Args:
+        clip_durations: 每个片段的时长（必须与 trim 后的实际时长一致）
+        clip_video_labels: 每个片段的视频流标签（如 "v0", "v1"）
+        transitions: 每个片段对应的转场效果（第一个片段的转场被忽略）
+        transition_duration: 转场时长（秒）
+        output_label: 最终输出标签
+
+    Returns:
+        (filter_string, estimated_total_duration)
+    """
+    n = len(clip_durations)
+    parts: list[str] = []
+
+    if n == 0:
+        return "", 0.0
+
+    if n == 1:
+        parts.append(f"[{clip_video_labels[0]}]copy[{output_label}]")
+        return ";".join(parts), clip_durations[0]
+
+    # xfade 链 — 每步动态钳制 td，防止 offset + td > first_input_duration
+    cumulative = 0.0
+    prev_label = clip_video_labels[0]
+    total_transition = 0.0  # 累计已使用的转场时长
+
+    for i in range(1, n):
+        cumulative += clip_durations[i - 1]
+
+        # 当前 xfade 的第一个输入时长
+        if i == 1:
+            first_input_dur = clip_durations[0]
+        else:
+            first_input_dur = cumulative - total_transition
+
+        # 原始 offset 计算
+        offset = max(0.0, cumulative - transition_duration * i)
+
+        # 安全钳制：offset + td 不能超过第一个输入的时长
+        available = max(0.0, first_input_dur - offset)
+        safe_td = min(transition_duration, available)
+
+        # 同时不能超过剩余总时长
+        remaining = max(0.0, sum(clip_durations) - cumulative)
+        safe_td = min(safe_td, remaining)
+        # 同时不能超过当前第二个输入（单个片段）的时长
+        safe_td = min(safe_td, clip_durations[i])
+        safe_td = max(0.001, safe_td)  # 至少 1ms，避免 td=0
+
+        transition = transitions[i] if i < len(transitions) else "cut"
+        xfade_transition = resolve_xfade_transition(transition)
+
+        if i == n - 1:
+            out_label = output_label
+        else:
+            out_label = f"xf{i}"
+
+        parts.append(
+            f"[{prev_label}][{clip_video_labels[i]}]"
+            f"xfade=transition={xfade_transition}"
+            f":duration={safe_td:.3f}"
+            f":offset={offset:.3f}"
+            f"[{out_label}]"
+        )
+        prev_label = out_label
+        total_transition += safe_td
+
+    # 总时长减去转场重叠部分
+    total_duration = sum(clip_durations) - total_transition
+    return ";".join(parts), max(0.0, total_duration)

apps/worker/video_processing/oss_helpers.py

@@ -0,0 +1,266 @@
+"""OSS 工具函数 — 从 generation.py / edit_plan_generation.py 提取的共享 OSS 操作.
+
+提供 OSS 配置读取、Bucket 创建、素材上传/下载、asset_id → 本地路径解析
+等能力，供 render_edit_plan 和 generate_video 共同复用。
+"""
+
+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
+
+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 ──────────────────────────────────────────────────────────────────
+
+
+def oss_settings() -> tuple[str, str, str, str] | None:
+    """获取 OSS 配置。
+
+    Returns:
+        (access_key_id, access_key_secret, endpoint, bucket_name) 元组，
+        配置缺失时返回 None。
+    """
+    access_key_id = os.getenv("OSS_ACCESS_KEY_ID")
+    access_key_secret = os.getenv("OSS_ACCESS_KEY_SECRET")
+    endpoint = os.getenv("OSS_ENDPOINT")
+    bucket_name = os.getenv("OSS_BUCKET_NAME")
+    if not all([access_key_id, access_key_secret, endpoint, bucket_name]):
+        return None
+    return access_key_id, access_key_secret, endpoint, bucket_name
+
+
+def oss_bucket() -> oss2.Bucket | None:
+    """获取 OSS Bucket 实例。
+
+    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。
+    """
+    settings = oss_settings()
+    if settings is None:
+        return None
+    access_key_id, access_key_secret, endpoint, bucket_name = settings
+    # 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,
+    )
+
+
+def normalize_storage_key(storage_key_or_url: str) -> str:
+    """标准化存储键 — 如果是完整 URL 则提取 path 部分。
+
+    Examples:
+        "https://bucket.oss-cn-hangzhou.aliyuncs.com/path/to/file.mp4"
+        → "path/to/file.mp4"
+        "path/to/file.mp4" → "path/to/file.mp4"
+    """
+    if storage_key_or_url.startswith(("http://", "https://")):
+        return urlparse(storage_key_or_url).path.lstrip("/")
+    return storage_key_or_url.lstrip("/")
+
+
+# ── 上传 / 下载 ───────────────────────────────────────────────────────────────
+
+
+def download_asset(asset_storage_key: str, local_path: Path) -> bool:
+    """从 OSS 下载素材文件到本地路径。
+
+    Args:
+        asset_storage_key: 素材的存储键（或完整 URL）
+        local_path: 本地保存路径
+
+    Returns:
+        True 表示下载成功，False 表示失败。
+    """
+    bucket = oss_bucket()
+    if bucket is None:
+        return False
+    try:
+        bucket.get_object_to_file(normalize_storage_key(asset_storage_key), str(local_path))
+        return local_path.exists() and local_path.stat().st_size > 0
+    except Exception:
+        logger.exception("下载素材失败: %s", asset_storage_key)
+        return False
+
+
+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
+
+    Returns:
+        公开访问 URL，上传失败或 OSS 未配置时返回 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,
+        )
+        return None
+
+    if result["error"]:
+        return None
+
+    return result["url"]
+
+
+def get_signed_download_url(storage_key_or_url: str, expires_seconds: int = 3600) -> str | None:
+    """生成预签名下载 URL（用于私有 bucket 的 URL 校验或临时下载）。
+
+    Args:
+        storage_key_or_url: 存储键或完整 URL（URL 会自动提取 path）
+        expires_seconds: 签名有效期（秒）
+
+    Returns:
+        预签名 URL，失败或 OSS 未配置时返回 None。
+    """
+    bucket = oss_bucket()
+    if bucket is None:
+        return None
+    try:
+        storage_key = normalize_storage_key(storage_key_or_url)
+        signed = bucket.sign_url("GET", storage_key, expires_seconds)
+        logger.info("生成预签名URL: key=%s url_prefix=%s", storage_key[:80], signed[:60])
+        return signed
+    except Exception:
+        logger.exception("生成预签名URL失败: %s", storage_key_or_url[:80])
+        return None
+
+
+# ── Asset 解析 ────────────────────────────────────────────────────────────────
+
+
+def resolve_asset_path(asset_id: str, work_dir: Path) -> Path | None:
+    """从 asset_id 解析到本地文件路径。
+
+    策略（按优先级）：
+    1. 如果 asset_id 是本地绝对路径（/var/storage/...）→ 直接返回
+    2. 如果 work_dir 下已有缓存文件 → 返回缓存路径
+    3. 从 OSS 下载到 work_dir/{hash}.mp4 → 返回下载路径
+    4. 下载失败 → 返回 None
+
+    缓存策略：以 asset_id 的 SHA256 前 16 位为文件名，避免重复下载。
+    """
+    # 1. 本地绝对路径
+    if asset_id.startswith("/") and os.path.exists(asset_id):
+        return Path(asset_id)
+
+    # 2. 缓存命中
+    cache_hash = hashlib.sha256(asset_id.encode()).hexdigest()[:16]
+    cached_path = work_dir / f"{cache_hash}.mp4"
+    if cached_path.exists() and cached_path.stat().st_size > 0:
+        return cached_path
+
+    # 3. 从 OSS 下载
+    if download_asset(asset_id, cached_path):
+        return cached_path
+
+    return None
+
+
+def resolve_asset_ids_to_paths(
+    asset_ids: list[str],
+    work_dir: Path,
+) -> dict[str, Path]:
+    """批量解析 asset_id → 本地路径。
+
+    Args:
+        asset_ids: 素材 ID 列表
+        work_dir: 工作目录
+
+    Returns:
+        {asset_id: local_path} 映射，仅包含成功解析的条目。
+    """
+    result: dict[str, Path] = {}
+    for aid in asset_ids:
+        local_path = resolve_asset_path(aid, work_dir)
+        if local_path:
+            result[aid] = local_path
+    return result

apps/worker/video_processing/render_adapter.py

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

apps/worker/video_processing/render_engine_resolver.py

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

apps/worker/video_processing/video_compose_service.py

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

apps/worker/worker_app/core/config.py

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

apps/worker/worker_app/tasks/compose_video.py

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

apps/worker/worker_app/tasks/edit_plan_generation.py

@@ -1,179 +1,46 @@
-"""剪辑计划渲染任务 — Phase 8 任务 2.05.
+"""剪辑计划渲染任务 — 支持 Feature Flag 灰度.
 
 Celery 任务 worker.render_edit_plan:
   1. 加载 EditPlan + EditPlanClips
-  2. 下载各片段素材
-  3. 按 order 顺序拼接片段
+  2. 根据 Feature Flag 选择渲染引擎（legacy / unified）
+  3. 下载各片段素材 + 渲染
   4. 上传渲染结果到 OSS
-  5. 更新 EditPlan / EditPlanClip 状态
-  6. 更新 GenerationTask 进度
+  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
 
 import logging
-import os
-import shutil
-import subprocess  # nosec B404
 import tempfile
 from datetime import datetime, timezone
 from pathlib import Path
 from typing import Optional
-from urllib.parse import urlparse
 
-import oss2
 from worker_app.celery_app import celery_app
 from worker_app.db import SessionLocal
 
 logger = logging.getLogger(__name__)
 
-FFMPEG_BIN = shutil.which("ffmpeg") or "ffmpeg"
-FFPROBE_BIN = shutil.which("ffprobe") or "ffprobe"
 OUTPUT_WIDTH = 1280
 OUTPUT_HEIGHT = 720
 OUTPUT_FPS = 25.0
 
 
-# ── OSS helpers ───────────────────────────────────────────────────────────────
-
-
-def _oss_settings() -> tuple[str, str, str, str] | None:
-    """获取 OSS 配置"""
-    access_key_id = os.getenv("OSS_ACCESS_KEY_ID")
-    access_key_secret = os.getenv("OSS_ACCESS_KEY_SECRET")
-    endpoint = os.getenv("OSS_ENDPOINT")
-    bucket_name = os.getenv("OSS_BUCKET_NAME")
-    if not all([access_key_id, access_key_secret, endpoint, bucket_name]):
-        return None
-    return access_key_id, access_key_secret, endpoint, bucket_name
-
-
-def _oss_bucket() -> oss2.Bucket | None:
-    """获取 OSS Bucket"""
-    settings = _oss_settings()
-    if settings is None:
-        return None
-    access_key_id, access_key_secret, endpoint, bucket_name = settings
-    return oss2.Bucket(oss2.Auth(access_key_id, access_key_secret), endpoint, bucket_name)
-
-
-def _normalize_storage_key(storage_key_or_url: str) -> str:
-    """标准化存储键"""
-    if storage_key_or_url.startswith(("http://", "https://")):
-        return urlparse(storage_key_or_url).path.lstrip("/")
-    return storage_key_or_url.lstrip("/")
-
-
-def _download_asset(asset_storage_key: str, local_path: Path) -> bool:
-    """下载素材文件到本地"""
-    bucket = _oss_bucket()
-    if bucket is None:
-        return False
-    try:
-        bucket.get_object_to_file(_normalize_storage_key(asset_storage_key), str(local_path))
-        return local_path.exists() and local_path.stat().st_size > 0
-    except Exception:
-        logger.exception("下载素材失败: %s", asset_storage_key)
-        return False
-
-
-def _upload_to_oss(local_path: Path, storage_key: str) -> str | None:
-    """上传文件到 OSS，返回公开 URL"""
-    bucket = _oss_bucket()
-    if bucket is None:
-        return None
-    try:
-        bucket.put_object_from_file(storage_key, str(local_path))
-        settings = _oss_settings()
-        if settings:
-            _, _, endpoint, bucket_name = settings
-            return f"https://{bucket_name}.{endpoint.replace('https://', '').replace('http://', '')}/{storage_key}"
-        return None
-    except Exception:
-        logger.exception("上传 OSS 失败: %s", storage_key)
-        return None
-
-
-# ── FFmpeg helpers ────────────────────────────────────────────────────────────
-
-
-def _run_ffmpeg(command: list[str]) -> None:
-    """执行 FFmpeg 命令"""
-    subprocess.run(command, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)  # nosec B603
-
-
-def _probe_duration(local_path: Path) -> float:
-    """获取视频/音频时长"""
-    try:
-        result = subprocess.run(  # nosec B603
-            [
-                FFPROBE_BIN,
-                "-v",
-                "error",
-                "-show_entries",
-                "format=duration",
-                "-of",
-                "default=noprint_wrappers=1:nokey=1",
-                str(local_path),
-            ],
-            check=True,
-            capture_output=True,
-            text=True,
-        )
-        return float(result.stdout.strip())
-    except Exception:
-        return 0.0
-
-
-def _concatenate_clips(
-    clip_paths: list[Path],
-    output_path: Path,
-    transition_effects: list[str] | None = None,
-) -> bool:
-    """将多个片段拼接为最终视频
-
-    使用 FFmpeg concat demuxer 实现。
-    """
-    if not clip_paths:
-        return False
-
-    if len(clip_paths) == 1:
-        # 单片段直接复制
-        try:
-            shutil.copy2(str(clip_paths[0]), str(output_path))
-            return True
-        except Exception:
-            return False
-
-    # 多片段：使用 concat demuxer
-    concat_file = output_path.parent / "concat_list.txt"
-    try:
-        with open(concat_file, "w") as f:
-            for p in clip_paths:
-                f.write(f"file '{p}'\n")
-
-        command = [
-            FFMPEG_BIN,
-            "-y",
-            "-f",
-            "concat",
-            "-safe",
-            "0",
-            "-i",
-            str(concat_file),
-            "-c",
-            "copy",
-            str(output_path),
-        ]
-        _run_ffmpeg(command)
-        return output_path.exists() and output_path.stat().st_size > 0
-    except Exception:
-        logger.exception("拼接片段失败")
-        return False
-    finally:
-        if concat_file.exists():
-            concat_file.unlink()
+# ── 共享工具模块导入 ──────────────────────────────────────────────────────────
 
+from video_processing.dedup_helpers import create_video_record_and_dedup
+from video_processing.oss_helpers import (
+    download_asset,
+    upload_to_oss,
+)
+from video_processing.unified_render_service import UnifiedRenderService
 
 # ── Repository imports (延迟导入避免循环依赖) ─────────────────────────────────
 
@@ -201,21 +68,277 @@ def _get_repos():
 # ── Celery Task ───────────────────────────────────────────────────────────────
 
 
+def _resolve_render_engine(user_id: str) -> str:
+    """根据 Feature Flag 决定使用哪个渲染引擎。
+
+    Returns:
+        "legacy" 或 "unified"
+    """
+    try:
+        from video_processing.render_engine_resolver import get_render_engine_resolver
+
+        resolver = get_render_engine_resolver()
+        return resolver.get_engine(user_id=user_id)
+    except Exception as exc:
+        logger.warning("获取渲染引擎配置失败，fallback 到 legacy: %s", exc)
+        return "legacy"
+
+
+def _mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, error_msg: str):
+    """统一的计划失败标记工具。"""
+    plan = plan_repo.get(plan_id)
+    if plan and plan.status.value == "rendering":
+        plan.mark_failed()
+        plan_repo.update(plan)
+    if generation_task_id:
+        gen_task = gen_task_repo.get(generation_task_id)
+        if gen_task and gen_task.status.value != "failed":
+            gen_task.status = "failed"
+            gen_task.error_message = error_msg
+            gen_task.completed_at = datetime.now(timezone.utc)
+            gen_task_repo.update(gen_task)
+
+
+def _finalize_render_success(
+    plan,
+    plan_repo,
+    clip_repo,
+    gen_task_repo,
+    db,
+    plan_id: str,
+    output_url: str,
+    storage_key: str,
+    duration: float,
+    file_size: int,
+    width: int,
+    height: int,
+    rendered_clip_ids: list[str],
+    failed_clip_ids: list[str],
+    generation_task_id: str,
+    output_path: Path,
+    engine: str,
+) -> dict:
+    """渲染成功后的统一收尾：查重 + 更新状态 + 返回结果。"""
+    # 创建 GeneratedVideo 记录 + 查重
+    project_id = plan.project_id or ""
+    batch_id = plan.config.get("batch_id", "")
+    mode = plan.config.get("mode", "edit_plan")
+    if generation_task_id and project_id:
+        try:
+            create_video_record_and_dedup(
+                generation_task_id=generation_task_id,
+                project_id=project_id,
+                batch_id=batch_id,
+                file_url=output_url or "",
+                file_size=file_size,
+                duration=duration,
+                video_path=str(output_path),
+                mode=mode,
+                session=db,
+                width=width,
+                height=height,
+                fps=OUTPUT_FPS,
+            )
+        except Exception as dedup_err:
+            logger.warning("查重失败（不影响渲染结果）: %s", dedup_err)
+
+    # 更新片段状态为 rendered
+    for clip_id in rendered_clip_ids:
+        clip = clip_repo.get(clip_id)
+        if clip and clip.status.value == "ready":
+            clip.mark_rendered()
+            clip_repo.update(clip)
+
+    # 更新 EditPlan 状态为 completed
+    plan.config["rendered_url"] = output_url or ""
+    plan.config["rendered_storage_key"] = storage_key
+    plan.mark_completed()
+    plan_repo.update(plan)
+
+    # 更新 GenerationTask 状态为 completed
+    if generation_task_id:
+        gen_task = gen_task_repo.get(generation_task_id)
+        if gen_task:
+            gen_task.status = "completed"
+            gen_task.progress = 100.0
+            gen_task.result_count = len(rendered_clip_ids)
+            gen_task.completed_at = datetime.now(timezone.utc)
+            gen_task_repo.update(gen_task)
+
+    logger.info(
+        "剪辑计划渲染完成: plan_id=%s engine=%s rendered=%d failed=%d duration=%.1fs",
+        plan_id,
+        engine,
+        len(rendered_clip_ids),
+        len(failed_clip_ids),
+        duration,
+    )
+
+    return {
+        "status": "completed",
+        "plan_id": plan_id,
+        "rendered_count": len(rendered_clip_ids),
+        "failed_count": len(failed_clip_ids),
+        "output_url": output_url,
+        "duration": duration,
+    }
+
+
+def _render_with_unified(
+    plan,
+    clips,
+    asset_path_map: dict[str, Path],
+    tmpdir_path: Path,
+    rendered_clip_ids: list[str],
+    plan_id: str,
+    generation_task_id: str,
+    plan_repo,
+    clip_repo,
+    gen_task_repo,
+    db,
+) -> dict:
+    """统一渲染引擎路径（UnifiedRenderService 图层架构）。"""
+    render_service = UnifiedRenderService(
+        plan=plan,
+        clips=clips,
+        asset_path_map=asset_path_map,
+        work_dir=tmpdir_path,
+        output_width=OUTPUT_WIDTH,
+        output_height=OUTPUT_HEIGHT,
+        output_fps=int(OUTPUT_FPS),
+    )
+
+    try:
+        render_result = render_service.render()
+    except Exception as render_err:
+        logger.error("渲染失败(unified): %s — %s", plan_id, render_err)
+        _mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, f"渲染失败: {render_err}")
+        return {"status": "error", "message": f"渲染失败: {render_err}"}
+
+    output_path = render_result.output_path
+
+    # 上传到 OSS
+    storage_key = f"rendered/{plan_id}/output.mp4"
+    output_url = upload_to_oss(output_path, storage_key)
+
+    failed_clip_ids: list[str] = []
+    return _finalize_render_success(
+        plan=plan,
+        plan_repo=plan_repo,
+        clip_repo=clip_repo,
+        gen_task_repo=gen_task_repo,
+        db=db,
+        plan_id=plan_id,
+        output_url=output_url or "",
+        storage_key=storage_key,
+        duration=render_result.duration,
+        file_size=render_result.file_size,
+        width=render_result.width,
+        height=render_result.height,
+        rendered_clip_ids=rendered_clip_ids,
+        failed_clip_ids=failed_clip_ids,
+        generation_task_id=generation_task_id,
+        output_path=output_path,
+        engine="unified",
+    )
+
+
+def _render_with_legacy(
+    plan,
+    clips,
+    rendered_clip_ids: list[str],
+    failed_clip_ids: list[str],
+    tmpdir_path: Path,
+    plan_id: str,
+    generation_task_id: str,
+    plan_repo,
+    clip_repo,
+    gen_task_repo,
+    db,
+) -> dict:
+    """旧引擎路径（VideoComposeService + FFmpeg filter_complex）。"""
+    import os
+    import subprocess
+
+    from apps.api.app.services.video_compose_service import VideoComposeService
+
+    compose_svc = VideoComposeService(db)
+
+    # 校验合成条件
+    validation = compose_svc.validate_compose(plan_id)
+    if not validation.valid:
+        error_msg = "; ".join(validation.errors)
+        logger.error("合成校验失败(legacy): %s — %s", plan_id, error_msg)
+        _mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, f"合成校验失败: {error_msg}")
+        return {"status": "error", "message": error_msg}
+
+    # 构建 FFmpeg 命令
+    output_dir = os.environ.get("VIDEO_OUTPUT_DIR", str(tmpdir_path))
+    output_path = Path(output_dir) / f"{plan_id}.mp4"
+    compose_cmd = compose_svc.build_compose_command(plan_id, str(output_path))
+
+    logger.info("执行 FFmpeg (legacy): plan_id=%s", plan_id)
+    try:
+        subprocess.run(
+            compose_cmd.command,
+            check=True,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+            timeout=3600,
+        )
+    except subprocess.CalledProcessError as e:
+        error_msg = f"FFmpeg 执行失败: {e.stderr[:500]}"
+        logger.error("FFmpeg 执行失败(legacy): %s — %s", plan_id, error_msg)
+        _mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, error_msg)
+        return {"status": "error", "message": error_msg}
+
+    # 获取文件大小
+    file_size = output_path.stat().st_size if output_path.exists() else 0
+    duration = compose_cmd.estimated_duration or 0.0
+
+    # 上传到 OSS
+    storage_key = f"rendered/{plan_id}/output.mp4"
+    output_url = upload_to_oss(output_path, storage_key)
+
+    return _finalize_render_success(
+        plan=plan,
+        plan_repo=plan_repo,
+        clip_repo=clip_repo,
+        gen_task_repo=gen_task_repo,
+        db=db,
+        plan_id=plan_id,
+        output_url=output_url or "",
+        storage_key=storage_key,
+        duration=duration,
+        file_size=file_size,
+        width=OUTPUT_WIDTH,
+        height=OUTPUT_HEIGHT,
+        rendered_clip_ids=rendered_clip_ids,
+        failed_clip_ids=failed_clip_ids,
+        generation_task_id=generation_task_id,
+        output_path=output_path,
+        engine="legacy",
+    )
+
+
 @celery_app.task(name="worker.render_edit_plan", bind=True, max_retries=2)
 def render_edit_plan(self, plan_id: str) -> dict:
     """渲染剪辑计划
 
     流程：
     1. 加载 EditPlan + EditPlanClips
-    2. 下载各片段素材到临时目录
-    3. 按 order 顺序拼接片段
+    2. 根据 Feature Flag 选择渲染引擎（legacy / unified）
+    3. 下载素材 + 渲染
     4. 上传渲染结果到 OSS
-    5. 更新 EditPlan → completed, EditPlanClips → rendered
-    6. 更新 GenerationTask 进度
+    5. 创建 GeneratedVideo 记录 + 查重
+    6. 更新 EditPlan → completed, EditPlanClips → rendered
+    7. 更新 GenerationTask 进度
     """
     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
@@ -230,7 +353,12 @@ def render_edit_plan(self, plan_id: str) -> dict:
             # 获取 generation_task_id（提前读取，确保 except 块可用）
             generation_task_id = plan.config.get("generation_task_id", "")
 
-            # 2. 加载片段列表（按 order 排序）
+            # 2. 选择渲染引擎（Feature Flag 灰度控制）
+            user_id = plan.created_by_user_id or ""
+            engine = _resolve_render_engine(user_id)
+            logger.info("剪辑计划渲染引擎: plan_id=%s engine=%s user_id=%s", plan_id, engine, user_id)
+
+            # 3. 加载片段列表（按 order 排序）
             clips = clip_repo.list_by_plan(plan_id, skip=0, limit=10000)
             if not clips:
                 logger.warning("剪辑计划没有片段: %s", plan_id)
@@ -246,13 +374,22 @@ def render_edit_plan(self, plan_id: str) -> dict:
                     gen_task.started_at = datetime.now(timezone.utc)
                     gen_task_repo.update(gen_task)
 
-            # 3. 下载素材并拼接
+            # 3. 下载素材并构建 asset_path_map
             with tempfile.TemporaryDirectory(prefix="edit_plan_") as tmpdir:
                 tmpdir_path = Path(tmpdir)
-                clip_paths: list[Path] = []
+                asset_path_map: dict[str, Path] = {}
                 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
@@ -261,18 +398,35 @@ def render_edit_plan(self, plan_id: str) -> dict:
                         failed_clip_ids.append(clip.id)
                         continue
 
+                    if clip.asset_id in asset_path_map:
+                        # 同一素材已下载（多个 clip 共享同一素材）
+                        rendered_clip_ids.append(clip.id)
+                        continue
+
+                    storage_key = asset_storage_map.get(clip.asset_id)
+                    if not storage_key:
+                        logger.warning(
+                            "片段素材无 storage_key，跳过: clip_id=%s asset_id=%s",
+                            clip.id,
+                            clip.asset_id,
+                        )
+                        clip.mark_failed()
+                        clip_repo.update(clip)
+                        failed_clip_ids.append(clip.id)
+                        continue
+
                     # 下载素材
-                    ext = Path(clip.asset_id).suffix or ".mp4"
+                    ext = Path(storage_key).suffix or ".mp4"
                     local_path = tmpdir_path / f"clip_{clip.order:04d}{ext}"
-                    if _download_asset(clip.asset_id, local_path):
-                        clip_paths.append(local_path)
+                    if download_asset(storage_key, local_path):
+                        asset_path_map[clip.asset_id] = local_path
                         rendered_clip_ids.append(clip.id)
                     else:
                         clip.mark_failed()
                         clip_repo.update(clip)
                         failed_clip_ids.append(clip.id)
 
-                if not clip_paths:
+                if not asset_path_map:
                     logger.error("所有片段素材下载失败: %s", plan_id)
                     plan.mark_failed()
                     plan_repo.update(plan)
@@ -285,65 +439,38 @@ def render_edit_plan(self, plan_id: str) -> dict:
                             gen_task_repo.update(gen_task)
                     return {"status": "error", "message": "所有片段素材下载失败"}
 
-                # 4. 拼接片段
-                output_path = tmpdir_path / f"rendered_{plan_id}.mp4"
-                transition_effects = [c.transition_effect for c in clips if c.asset_id]
-                success = _concatenate_clips(clip_paths, output_path, transition_effects)
+                # 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,
+                    )
 
-                if not success:
-                    logger.error("片段拼接失败: %s", plan_id)
-                    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 = "片段拼接失败"
-                            gen_task.completed_at = datetime.now(timezone.utc)
-                            gen_task_repo.update(gen_task)
-                    return {"status": "error", "message": "片段拼接失败"}
-
-                # 5. 上传到 OSS
-                storage_key = f"rendered/{plan_id}/output.mp4"
-                output_url = _upload_to_oss(output_path, storage_key)
-
-                # 6. 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)
-
-                # 7. 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)
-
-                # 8. 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",
-                    plan_id,
-                    len(rendered_clip_ids),
-                    len(failed_clip_ids),
-                )
-
-                return {
-                    "status": "completed",
-                    "plan_id": plan_id,
-                    "rendered_count": len(rendered_clip_ids),
-                    "failed_count": len(failed_clip_ids),
-                    "output_url": output_url,
-                }
+                result["engine"] = engine
+                return result
 
         except Exception as exc:
             logger.exception("渲染剪辑计划异常: %s", plan_id)

apps/worker/worker_app/tasks/voice_clone.py

@@ -4,6 +4,7 @@ import logging
 
 from celery import Task
 from celery.exceptions import Retry
+from video_processing.oss_helpers import get_signed_download_url
 from worker_app.celery_app import celery_app
 from worker_app.db import SessionLocal
 
@@ -48,7 +49,9 @@ def process_voice_clone(self: Task, profile_id: str) -> dict:
         repo = SQLAlchemyVoiceCloneProfileRepository(session)
         workflow = VoiceCloneWorkflowService(
             repository=repo,
-            cosyvoice_service=CosyVoiceService(),
+            cosyvoice_service=CosyVoiceService(
+                audio_url_signer=lambda url: get_signed_download_url(url, expires_seconds=86400) or url
+            ),
         )
 
         updated_profile = workflow.poll_and_process_clone(profile_id, timeout=300)

docs/ci-env-vars.md

@@ -0,0 +1,235 @@
+# CI 必需环境变量清单
+
+> 本文档整理小虾 SaaS 项目中所有从环境变量读取的配置项，明确哪些是 CI 测试必须的、哪些是可选的。
+> 最后更新：2026-07-09
+
+## 目录
+
+- [一、配置来源说明](#一配置来源说明)
+- [二、CI 必需环境变量（P0）](#二ci-必需环境变量p0)
+- [三、可选环境变量（有默认值）](#三可选环境变量有默认值)
+- [四、测试专用环境变量](#四测试专用环境变量)
+- [五、Worker 服务环境变量](#五worker-服务环境变量)
+- [六、当前 CI 配置对照](#六当前-ci-配置对照)
+
+---
+
+## 一、配置来源说明
+
+项目的环境变量配置主要来自以下几处：
+
+| 来源 | 文件路径 | 说明 |
+|------|---------|------|
+| API 主配置 | `apps/api/app/config.py` | pydantic `Settings` 类，API 服务核心配置 |
+| Worker 配置 | `apps/worker/worker_app/core/config.py` | pydantic `WorkerSettings` 类，Worker 服务配置 |
+| 共享配置 | `packages/shared/config.py` | pydantic `SharedSettings` 类，API + Worker 共享配置 |
+| 直接读取 | 各模块中 `os.environ` / `os.getenv` | 散落在各业务模块中的直接读取 |
+
+> **注意**：pydantic-settings 配置默认 `case_sensitive=False`，即环境变量名不区分大小写，但习惯上使用大写。
+
+---
+
+## 二、CI 必需环境变量（P0）
+
+以下变量是 CI 运行测试**必须配置**的，缺失会导致测试启动失败或核心功能异常。
+
+| 变量名 | 用途说明 | 默认值 | 影响范围 |
+|--------|---------|--------|---------|
+| `DATABASE_URL` | 数据库连接字符串 | `postgresql+psycopg://postgres:postgres@localhost:5432/xiaoxia_saas` | 集成测试、 Alembic 迁移验证 |
+| `USE_IN_MEMORY_DB` | 是否使用内存数据库（SQLite） | `false` | 单元测试（设为 `true` 可跳过 PostgreSQL 依赖） |
+| `JWT_SECRET_KEY` | JWT 签名密钥，**无安全默认值**，必须显式设置 | `None`（启动校验失败） | 所有涉及认证的 API 测试 |
+
+> **说明**：
+> - 单元测试通过 `USE_IN_MEMORY_DB=true` 使用 SQLite 内存数据库，无需 PostgreSQL
+> - 集成测试需要真实 PostgreSQL，需设置 `DATABASE_URL`
+> - `JWT_SECRET_KEY` 在测试文件中通过 `os.environ.setdefault()` 设置了测试用默认值，CI 中可不额外配置，但生产环境必须配置
+
+---
+
+## 三、可选环境变量（有默认值）
+
+以下变量都有合理的默认值，CI 中可以不配置，使用默认值即可。
+
+### 3.1 应用基础配置
+
+| 变量名 | 用途说明 | 默认值 |
+|--------|---------|--------|
+| `APP_NAME` | 应用名称 | `xiaoxia-saas` |
+| `APP_VERSION` | 应用版本号 | `0.1.61` / `unknown` |
+| `ENVIRONMENT` | 运行环境标识 | `development` |
+| `DEBUG` | 是否开启调试模式 | `true` |
+| `APP_BASE_URL` | 应用基础 URL（用于生成邮件链接等） | `http://localhost:3000` |
+| `API_HOST` | API 服务绑定地址 | `0.0.0.0` |
+| `API_PORT` | API 服务端口 | `8000` |
+| `API_PREFIX` | API 路由前缀 | `/api/v1` |
+| `APP_ENV` | 环境标识（用于加载 .env.{env} 文件） | `development` |
+| `LOG_LEVEL` | 日志级别 | `INFO` |
+
+### 3.2 数据库连接池配置
+
+| 变量名 | 用途说明 | 默认值 |
+|--------|---------|--------|
+| `DATABASE_POOL_SIZE` | 连接池大小 | `20` |
+| `DATABASE_MAX_OVERFLOW` | 最大溢出连接数 | `10` (API) / `40` (Worker) |
+| `DATABASE_POOL_TIMEOUT` | 获取连接超时时间（秒） | `30` |
+| `DATABASE_POOL_RECYLE` / `DATABASE_POOL_RECYCLE` | 连接回收时间（秒） | `3600` |
+| `AUTO_CREATE_SCHEMA` | 是否自动创建表结构 | `false` |
+
+### 3.3 Redis / Celery 配置
+
+| 变量名 | 用途说明 | 默认值 |
+|--------|---------|--------|
+| `REDIS_URL` | Redis 连接地址 | `redis://localhost:6379/0` |
+| `REDIS_MAX_CONNECTION` | Redis 最大连接数 | `50` |
+| `ENABLE_REDIS_SESSIONS` | 是否启用 Redis 会话存储 | `false` |
+| `CELERY_BROKER_URL` / `BROKER_URL` | Celery Broker 地址 | `redis://localhost:6379/0` |
+| `CELERY_RESULT_BACKEND` / `RESULT_BACKEND` | Celery 结果后端 | `redis://localhost:6379/1` |
+
+### 3.4 JWT 配置
+
+| 变量名 | 用途说明 | 默认值 |
+|--------|---------|--------|
+| `JWT_ALGORITHM` | JWT 签名算法 | `HS256`（隐式默认） |
+| `JWT_ACCESS_TOKEN_EXPIRE_MINUTES` | Access Token 过期时间（分钟） | `30`（隐式默认） |
+| `JWT_REFRESH_TOKEN_EXPIRE_DAYS` | Refresh Token 过期时间（天） | `30`（隐式默认） |
+| `JWT_SECRET_KEY_OLD` | 旧 JWT 密钥（用于密钥轮换） | `None` |
+| `SECRET_ROTATION_DAYS` | 密钥轮换建议天数 | `90` |
+
+### 3.5 邮件配置
+
+| 变量名 | 用途说明 | 默认值 |
+|--------|---------|--------|
+| `ENABLE_EMAIL_DELIVERY` | 是否启用邮件发送 | `false` |
+| `SMTP_HOST` | SMTP 服务器地址 | `smtp.gmail.com` |
+| `SMTP_PORT` | SMTP 端口 | `587` |
+| `SMTP_USER` | SMTP 用户名 | `""`（空） |
+| `SMTP_PASSWORD` | SMTP 密码 | `""`（空） |
+| `SMTP_FROM_EMAIL` | 发件人邮箱 | `""`（空） |
+| `SMTP_FROM_NAME` | 发件人名称 | `小虾 SaaS` |
+| `SMTP_USE_TLS` | 是否使用 TLS | `true` |
+
+### 3.6 OSS 阿里云存储配置
+
+| 变量名 | 用途说明 | 默认值 |
+|--------|---------|--------|
+| `OSS_ENDPOINT` | OSS Endpoint | `oss-cn-hangzhou.aliiyuncs.com` |
+| `OSS_ACCESS_KEY_ID` | OSS Access Key ID | `""`（空） |
+| `OSS_ACCESS_KEY_SECRET` | OSS Access Key Secret | `""`（空） |
+| `OSS_BUCKET_NAME` | OSS Bucket 名称 | `xiaoxia-autocut` |
+| `OSS_DIRECT_UPLOAD_MAX_MB` / `MAX_UPLOAD_SIZE_MB` | 直传最大文件大小（MB） | `2000` |
+| `OSS_DIRECT_UPLOAD_EXPIRE_SECONDS` | 直传签名过期时间（秒） | `900` |
+
+### 3.7 CosyVoice 语音合成配置
+
+| 变量名 | 用途说明 | 默认值 |
+|--------|---------|--------|
+| `COSYVOICE_API_KEY` | CosyVoice API Key | `""`（空） |
+| `COSYVOICE_BASE_URL` | CosyVoice API 地址 | `https://dashscope.aliyuncs.com/api/v1/services/aigc/text2audio` |
+| `COSYVOICE_MODEL` | CosyVoice 模型 | `cosyvoice-v1` |
+| `COSYVOICE_VOICE` | 默认音色 | `longxiaochun` |
+| `COSYVOICE_SAMPLE_RATE` | 采样率 | `22050` |
+| `COSYVOICE_FORMAT` | 输出格式 | `mp3` |
+
+### 3.8 CORS 配置
+
+| 变量名 | 用途说明 | 默认值 |
+|--------|---------|--------|
+| `CORS_ORIGINS_RAW` | CORS 允许的源（逗号分隔） | `http://localhost:3000,http://localhost:5173,http://localhost:8000` |
+
+### 3.9 文件存储 / 生成文件配置
+
+| 变量名 | 用途说明 | 默认值 |
+|--------|---------|--------|
+| `GENERATED_FILES_DIR` | 生成文件本地存储目录 | `/app/generated` |
+| `GENERATED_FILES_URL_PREFIX` | 生成文件访问 URL 前缀 | `/generated-files` |
+| `VIDEO_OUTPUT_DIR` | 视频输出目录 | `{tempdir}/video_output` |
+| `PUBLIC_API_BASE_URL` | 公开 API 基础 URL | `https://api.xiaoxiajianji.com` |
+
+### 3.10 监控 / 指标配置
+
+| 变量名 | 用途说明 | 默认值 |
+|--------|---------|--------|
+| `METRICS_AUTH_TOKEN` | Prometheus 指标接口认证 Token | `""`（空，不启用认证） |
+
+### 3.11 内部 API 配置
+
+| 变量名 | 用途说明 | 默认值 |
+|--------|---------|--------|
+| `INTERNAL_API_KEYS` | 内部 API 调用密钥列表（逗号分隔） | `""`（空） |
+
+---
+
+## 四、测试专用环境变量
+
+以下变量仅在测试或冒烟测试脚本中使用。
+
+| 变量名 | 用途说明 | 默认值 | 使用位置 |
+|--------|---------|--------|---------|
+| `SMOKE_TEST_PASSWORD` | 冒烟测试用的测试账号密码 | `changeme` | `scripts/smoke_*.py` |
+| `MIGRATION_SINCE_REVISION` | 迁移安全检查的起始版本 | `None` | `scripts/check_migration_safety.py` |
+| `MIGRATION_DIFF_AGAINST` | 迁移 diff 对比的目标分支/版本 | `None` | `scripts/check_migration_safety.py` |
+
+---
+
+## 五、Worker 服务环境变量
+
+以下变量主要用于 Worker（Celery）服务，CI 的单元/集成测试通常不涉及。
+
+| 变量名 | 用途说明 | 默认值 |
+|--------|---------|--------|
+| `WORKER_NAME` | Worker 名称 | `xiaoxia-saas-worker` |
+| `WORKER_CONCURRENCY` | Worker 并发数 | `4` |
+| `WORKER_MAX_TASKS_PER_CHILD` | 每个子进程最大任务数 | `1000` |
+
+---
+
+## 六、当前 CI 配置对照
+
+当前 `.gitea/workflows/ci-cd.yml` 中 `validate` job 配置的环境变量：
+
+| 变量名 | CI 配置值 | 是否必需 | 备注 |
+|--------|----------|---------|------|
+| `DATABASE_URL` | `postgresql+psycopg://postgres:postgres@127.0.0.1:5432/xiaoxia_saas` | ✅ 是 | Job 级别配置 |
+| `USE_IN_MEMORY_DB` | `"false"`（Job 级） / `"true"`（单元测试 step 级） | ✅ 是 | 单元测试 step 覆盖为 `true` |
+| `JWT_SECRET_KEY` | （未配置） | ⚠️ 测试内置 | 测试文件中通过 `setdefault` 设置了测试密钥 |
+
+### 6.1 CI 环境变量现状评估
+
+- ✅ **数据库配置完备**：DATABASE_URL + USE_IN_MEMORY_DB 已正确配置
+- ✅ **JWT 密钥**：测试代码内置默认值，CI 可正常运行
+- ⚠️ **缺少 Redis 配置**：但当前测试不依赖 Redis，使用默认值即可
+- ⚠️ **缺少邮件/OSS/语音配置**：均为可选，CI 中使用空默认值不影响核心测试
+
+### 6.2 建议后续补充
+
+如果未来测试覆盖到以下功能，需要在 CI 中补充对应配置：
+
+1. **Redis 相关测试** → 配置 `REDIS_URL`
+2. **邮件发送测试** → 配置 `ENABLE_EMAIL_DELIVERY` 及 SMTP 相关变量
+3. **OSS 上传测试** → 配置 OSS 相关变量（或使用 mock）
+4. **语音合成测试** → 配置 CosyVoice 相关变量（或使用 mock）
+
+---
+
+## 附录：环境变量读取位置索引
+
+### pydantic Settings 类
+- `apps/api/app/config.py` → `Settings` 类（API 主配置）
+- `apps/worker/worker_app/core/config.py` → `WorkerSettings` 类（Worker 配置）
+- `packages/shared/config.py` → `SharedSettings` 类（共享配置）
+
+### 直接 os.environ / os.getenv 读取
+| 变量名 | 文件位置 |
+|--------|---------|
+| `VIDEO_OUTPUT_DIR` | `apps/worker/video_processing/video_compose_service.py`、`apps/worker/worker_app/tasks/compose_video.py` |
+| `INTERNAL_API_KEYS` | `apps/api/app/api/routes/auth.py` |
+| `APP_ENV` / `ENV` | `apps/api/app/api/routes/auth.py`、各 config.py 的 `get_settings()` |
+| `GENERATED_FILES_DIR` | `apps/worker/worker_app/tasks/generation.py`、`apps/api/main.py`、`scripts/cleanup_generated_files.py` |
+| `GENERATED_FILES_URL_PREFIX` | `apps/worker/worker_app/tasks/generation.py`、`apps/api/main.py`、`apps/api/app/core/storage.py` |
+| `PUBLIC_API_BASE_URL` | `apps/worker/worker_app/tasks/generation.py` |
+| `METRICS_AUTH_TOKEN` | `apps/api/app/middleware/prometheus_metrics.py` |
+| `APP_VERSION` | `apps/api/app/middleware/prometheus_metrics.py` |
+| `SMOKE_TEST_PASSWORD` | `scripts/smoke_*.py` |
+| `MIGRATION_SINCE_REVISION` | `scripts/check_migration_safety.py` |
+| `MIGRATION_DIFF_AGAINST` | `scripts/check_migration_safety.py` |
+| `DATABASE_URL` | `alembic/env.py` |

docs/schema-metadata-snapshot.json

@@ -473,7 +473,7 @@
           "name": "id",
           "nullable": false,
           "primary_key": true,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -481,7 +481,7 @@
           "name": "project_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -489,7 +489,7 @@
           "name": "asset_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -783,7 +783,7 @@
           "name": "id",
           "nullable": false,
           "primary_key": true,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -791,7 +791,7 @@
           "name": "plan_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -815,7 +815,7 @@
           "name": "template_clip_config_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -823,7 +823,7 @@
           "name": "asset_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -939,7 +939,7 @@
           "name": "id",
           "nullable": false,
           "primary_key": true,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -947,7 +947,7 @@
           "name": "template_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -987,7 +987,7 @@
           "name": "source_edit_plan_id",
           "nullable": true,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -995,7 +995,7 @@
           "name": "project_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1003,7 +1003,7 @@
           "name": "created_by_user_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1071,7 +1071,7 @@
           "name": "id",
           "nullable": false,
           "primary_key": true,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1098,6 +1098,14 @@
           "type": "VARCHAR(50)",
           "unique": false
         },
+        {
+          "index": false,
+          "name": "editing_mode",
+          "nullable": false,
+          "primary_key": false,
+          "type": "VARCHAR(20)",
+          "unique": false
+        },
         {
           "index": false,
           "name": "config",
@@ -1181,7 +1189,7 @@
           "name": "id",
           "nullable": false,
           "primary_key": true,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1189,7 +1197,7 @@
           "name": "project_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1197,7 +1205,7 @@
           "name": "generation_task_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1333,7 +1341,7 @@
           "name": "duplicate_of",
           "nullable": true,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         }
       ],
@@ -1378,7 +1386,7 @@
           "name": "id",
           "nullable": false,
           "primary_key": true,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1386,7 +1394,7 @@
           "name": "project_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1394,7 +1402,7 @@
           "name": "strategy_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1402,7 +1410,7 @@
           "name": "asset_library_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1410,7 +1418,7 @@
           "name": "voice_library_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1506,7 +1514,7 @@
           "name": "created_by_user_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1514,7 +1522,7 @@
           "name": "source_edit_plan_id",
           "nullable": true,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1530,7 +1538,7 @@
           "name": "batch_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1541,6 +1549,14 @@
           "type": "JSON",
           "unique": false
         },
+        {
+          "index": false,
+          "name": "logs",
+          "nullable": false,
+          "primary_key": false,
+          "type": "TEXT",
+          "unique": false
+        },
         {
           "index": false,
           "name": "created_at",
@@ -1619,7 +1635,7 @@
           "name": "id",
           "nullable": false,
           "primary_key": true,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1627,7 +1643,7 @@
           "name": "project_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1635,7 +1651,7 @@
           "name": "library_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1667,7 +1683,7 @@
           "name": "result_asset_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1729,7 +1745,7 @@
           "name": "id",
           "nullable": false,
           "primary_key": true,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1737,7 +1753,7 @@
           "name": "project_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1825,7 +1841,7 @@
           "name": "source_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1833,7 +1849,7 @@
           "name": "created_by_user_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1917,7 +1933,7 @@
           "name": "id",
           "nullable": false,
           "primary_key": true,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -1925,7 +1941,7 @@
           "name": "owner_user_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -2245,7 +2261,7 @@
           "name": "id",
           "nullable": false,
           "primary_key": true,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {
@@ -2253,7 +2269,7 @@
           "name": "template_id",
           "nullable": false,
           "primary_key": false,
-          "type": "VARCHAR(32)",
+          "type": "VARCHAR(36)",
           "unique": false
         },
         {

infra/docker/api.Dockerfile

@@ -6,14 +6,14 @@
 # 基础镜像：Python 3.12
 FROM git.xiaoxiajianji.com/xiaoxia/base/python:3.12-slim
 
+# 构建参数：版本号（CI 传入 commit hash）
+ARG APP_VERSION=dev
+
 # 使用阿里云镜像加速
-RUN sed -i 's|deb.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list.d/debian.sources 2>/dev/null || \
-    sed -i 's|deb.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list 2>/dev/null || true
+RUN sed -i 's|deb.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list.d/debian.sources 2>/dev/null ||     sed -i 's|deb.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list 2>/dev/null || true
 
 # 安装系统依赖
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    libpq-dev \
-    && rm -rf /var/lib/apt/lists/*
+RUN apt-get update && apt-get install -y --no-install-recommends     libpq-dev     && rm -rf /var/lib/apt/lists/*
 
 # 设置工作目录
 WORKDIR /app
@@ -21,15 +21,12 @@ WORKDIR /app
 # ---- 依赖分层：基础依赖（变化少，缓存命中率高）----
 COPY requirements-base.txt /tmp/requirements-base.txt
 
-RUN python -m venv /opt/venv \
-    && /opt/venv/bin/pip install --no-cache-dir -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com -r /tmp/requirements-base.txt \
-    && rm /tmp/requirements-base.txt
+RUN python -m venv /opt/venv     && /opt/venv/bin/pip install --no-cache-dir -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com -r /tmp/requirements-base.txt     && rm /tmp/requirements-base.txt
 
 # ---- 依赖分层：业务依赖（变化频繁）----
 COPY requirements.txt /tmp/requirements.txt
 
-RUN /opt/venv/bin/pip install --no-cache-dir -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com -r /tmp/requirements.txt \
-    && rm /tmp/requirements.txt
+RUN /opt/venv/bin/pip install --no-cache-dir -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com -r /tmp/requirements.txt     && rm /tmp/requirements.txt
 
 # 复制应用代码
 COPY apps/api/ /app/apps/api/
@@ -40,13 +37,13 @@ COPY alembic/ /app/alembic/
 COPY scripts/ /app/scripts/
 
 # 设置环境变量
-ENV PATH="/opt/venv/bin:$PATH"
+ENV PATH="/opt/venv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin"
 ENV PYTHONPATH=/app
 ENV PYTHONUNBUFFERED=1
+ENV APP_VERSION=$APP_VERSION
 
 # 健康检查
-HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
-    CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health', timeout=5)"
+HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3     CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health', timeout=5)"
 
 # API 入口点
 WORKDIR /app/apps/api

infra/docker/entrypoint-worker.sh

@@ -0,0 +1,13 @@
+#!/bin/bash
+# Worker 启动脚本 — 支持 WORKER_CONCURRENCY 环境变量
+# 未设置时默认 2（保持向后兼容）
+
+set -e
+
+CONCURRENCY="${WORKER_CONCURRENCY:-2}"
+
+exec celery \
+  -A worker_app.celery_app \
+  worker \
+  --loglevel=info \
+  "--concurrency=${CONCURRENCY}"

infra/docker/worker.Dockerfile

@@ -6,6 +6,9 @@
 # 基础镜像：Python 3.12 + ffmpeg
 FROM git.xiaoxiajianji.com/xiaoxia/base/python:3.12-slim
 
+# 构建参数：版本号（CI 传入 commit hash）
+ARG APP_VERSION=dev
+
 # 使用阿里云镜像加速
 RUN sed -i 's|deb.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list.d/debian.sources 2>/dev/null || \
     sed -i 's|deb.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list 2>/dev/null || true
@@ -48,10 +51,15 @@ COPY packages/ /app/packages/
 COPY alembic.ini /app/alembic.ini
 COPY migrations/ /app/migrations/
 
+# 复制 Worker 启动脚本（支持 WORKER_CONCURRENCY 环境变量）
+COPY infra/docker/entrypoint-worker.sh /usr/local/bin/entrypoint-worker.sh
+RUN chmod +x /usr/local/bin/entrypoint-worker.sh
+
 # 设置 Python 路径
 ENV PATH="/opt/venv/bin:$PATH"
 ENV PYTHONPATH=/app
 ENV PYTHONUNBUFFERED=1
+ENV APP_VERSION=$APP_VERSION
 
 # 创建非 root 用户运行 Worker
 RUN groupadd -r celery && useradd -r -g celery -d /app -s /sbin/nologin celery \
@@ -61,4 +69,4 @@ USER celery
 
 # Worker 入口点
 WORKDIR /app/apps/worker
-CMD ["celery", "-A", "worker_app.celery_app", "worker", "--loglevel=info", "--concurrency=2"]
+CMD ["/usr/local/bin/entrypoint-worker.sh"]

packages/adapters/redis/__init__.py

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

packages/adapters/redis/feature_flag_store.py

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

packages/adapters/sqlalchemy_impl/edit_template_repository.py

@@ -71,6 +71,7 @@ class SQLAlchemyEditTemplateRepository:
             name=template.name,
             description=template.description,
             template_type=template.template_type,
+            editing_mode=template.editing_mode,
             config=template.config,
             preview_url=template.preview_url,
             sort_weight=template.sort_weight,
@@ -89,6 +90,7 @@ class SQLAlchemyEditTemplateRepository:
         model.name = template.name
         model.description = template.description
         model.template_type = template.template_type
+        model.editing_mode = template.editing_mode
         model.config = template.config
         model.preview_url = template.preview_url
         model.sort_weight = template.sort_weight
@@ -128,6 +130,7 @@ class SQLAlchemyEditTemplateRepository:
             name=model.name,
             description=model.description or "",
             template_type=model.template_type or "default",
+            editing_mode=model.editing_mode or "one_take",
             config=model.config or {},
             preview_url=model.preview_url or "",
             sort_weight=model.sort_weight or 0,

packages/adapters/sqlalchemy_impl/generation_task_repository.py

@@ -27,6 +27,7 @@ def _to_domain(model: GenerationTaskModel) -> GenerationTask:
         source_edit_plan_id=model.source_edit_plan_id or "",
         asset_select_mode=model.asset_select_mode or "",
         batch_id=model.batch_id or "",
+        logs=model.logs or "[]",
         created_at=model.created_at,
     )
 
@@ -56,6 +57,7 @@ class SQLAlchemyGenerationTaskRepository:
             source_edit_plan_id=task.source_edit_plan_id or None,
             asset_select_mode=task.asset_select_mode or "",
             batch_id=task.batch_id or "",
+            logs=task.logs,
             created_at=task.created_at,
         )
         self.session.add(model)
@@ -89,6 +91,23 @@ class SQLAlchemyGenerationTaskRepository:
     def count_by_user(self, user_id: str) -> int:
         return self.session.query(GenerationTaskModel).filter(GenerationTaskModel.created_by_user_id == user_id).count()
 
+    def count_pending_by_user(self, user_id: str) -> int:
+        return (
+            self.session.query(GenerationTaskModel)
+            .filter(
+                GenerationTaskModel.created_by_user_id == user_id,
+                GenerationTaskModel.status == GenerationTaskStatus.PENDING.value,
+            )
+            .count()
+        )
+
+    def count_pending_total(self) -> int:
+        return (
+            self.session.query(GenerationTaskModel)
+            .filter(GenerationTaskModel.status == GenerationTaskStatus.PENDING.value)
+            .count()
+        )
+
     def list_recent_by_user(self, user_id: str, limit: int = 5) -> list[GenerationTask]:
         models = (
             self.session.query(GenerationTaskModel)
@@ -129,5 +148,6 @@ class SQLAlchemyGenerationTaskRepository:
         model.source_edit_plan_id = task.source_edit_plan_id or None
         model.asset_select_mode = task.asset_select_mode or ""
         model.batch_id = task.batch_id or ""
+        model.logs = task.logs
         self.session.commit()
         return task

packages/adapters/sqlalchemy_impl/models.py

@@ -39,8 +39,8 @@ class UserModel(Base):
 class ProjectModel(Base):
     __tablename__ = "projects"
 
-    id = Column(String(32), primary_key=True)
-    owner_user_id = Column(String(32), nullable=False, index=True)
+    id = Column(String(36), primary_key=True)
+    owner_user_id = Column(String(36), nullable=False, index=True)
     name = Column(String(100), nullable=False)
     description = Column(Text, nullable=False, default="")
     shared_users = Column(JSON, nullable=False, default=list)  # 被共享的用户 ID 列表
@@ -122,10 +122,11 @@ class EditTemplateModel(Base):
 
     __tablename__ = "edit_templates"
 
-    id = Column(String(32), primary_key=True)
+    id = Column(String(36), primary_key=True)
     name = Column(String(120), nullable=False)
     description = Column(Text, nullable=False, default="")
     template_type = Column(String(50), nullable=False, default="default", index=True)
+    editing_mode = Column(String(20), nullable=False, default="one_take")
     config = Column(JSON, nullable=False, default=dict)
     preview_url = Column(String(1000), nullable=False, default="")
     sort_weight = Column(Integer, nullable=False, default=0, index=True)
@@ -142,15 +143,15 @@ class EditPlanModel(Base):
 
     __tablename__ = "edit_plans"
 
-    id = Column(String(32), primary_key=True)
-    template_id = Column(String(32), nullable=False, index=True)
+    id = Column(String(36), primary_key=True)
+    template_id = Column(String(36), nullable=False, index=True)
     name = Column(String(200), nullable=False)
     status = Column(String(20), nullable=False, default="draft", index=True)
     total_duration = Column(Float, nullable=False, default=0.0)
     config = Column(JSON, nullable=False, default=dict)
-    source_edit_plan_id = Column(String(32), nullable=True, index=True)
-    project_id = Column(String(32), nullable=False, default="", index=True)
-    created_by_user_id = Column(String(32), nullable=False, default="", index=True)
+    source_edit_plan_id = Column(String(36), nullable=True, index=True)
+    project_id = Column(String(36), nullable=False, default="", index=True)
+    created_by_user_id = Column(String(36), nullable=False, default="", index=True)
     created_at = Column(DateTime, nullable=False, default=lambda: datetime.now(timezone.utc))
     updated_at = Column(DateTime, nullable=False, default=lambda: datetime.now(timezone.utc))
 
@@ -163,8 +164,8 @@ class TemplateClipConfigModel(Base):
 
     __tablename__ = "template_clip_configs"
 
-    id = Column(String(32), primary_key=True)
-    template_id = Column(String(32), nullable=False, index=True)
+    id = Column(String(36), primary_key=True)
+    template_id = Column(String(36), nullable=False, index=True)
     clip_type = Column(String(20), nullable=False, index=True)
     order = Column(Integer, nullable=False)
     min_duration = Column(Float, nullable=False, default=0.0)
@@ -185,12 +186,12 @@ class EditPlanClipModel(Base):
 
     __tablename__ = "edit_plan_clips"
 
-    id = Column(String(32), primary_key=True)
-    plan_id = Column(String(32), nullable=False, index=True)
+    id = Column(String(36), primary_key=True)
+    plan_id = Column(String(36), nullable=False, index=True)
     clip_type = Column(String(20), nullable=False, index=True)
     order = Column(Integer, nullable=False)
-    template_clip_config_id = Column(String(32), nullable=False, default="", index=True)
-    asset_id = Column(String(32), nullable=False, default="", index=True)
+    template_clip_config_id = Column(String(36), nullable=False, default="", index=True)
+    asset_id = Column(String(36), nullable=False, default="", index=True)
     text_content = Column(Text, nullable=False, default="")
     start_time = Column(Float, nullable=False, default=0.0)
     duration = Column(Float, nullable=False, default=0.0)
@@ -204,13 +205,13 @@ class EditPlanClipModel(Base):
 class IngestJobModel(Base):
     __tablename__ = "ingest_jobs"
 
-    id = Column(String(32), primary_key=True)
-    project_id = Column(String(32), nullable=False, index=True)
-    library_id = Column(String(32), nullable=False, index=True)
+    id = Column(String(36), primary_key=True)
+    project_id = Column(String(36), nullable=False, index=True)
+    library_id = Column(String(36), nullable=False, index=True)
     storage_key = Column(String(255), nullable=False)
     status = Column(String(20), nullable=False, default="pending")
     error_message = Column(Text, nullable=False, default="")
-    result_asset_id = Column(String(32), nullable=False, default="")
+    result_asset_id = Column(String(36), nullable=False, default="")
     file_hash = Column(String(64), nullable=True, index=True)
     created_at = Column(DateTime, nullable=False, default=lambda: datetime.now(timezone.utc))
     updated_at = Column(DateTime, nullable=False, default=lambda: datetime.now(timezone.utc))
@@ -219,9 +220,9 @@ class IngestJobModel(Base):
 class ClassificationJobModel(Base):
     __tablename__ = "classification_jobs"
 
-    id = Column(String(32), primary_key=True)
-    project_id = Column(String(32), nullable=False, index=True)
-    asset_id = Column(String(32), nullable=False, index=True)
+    id = Column(String(36), primary_key=True)
+    project_id = Column(String(36), nullable=False, index=True)
+    asset_id = Column(String(36), nullable=False, index=True)
     status = Column(String(20), nullable=False, default="pending")
     classification = Column(String(50), nullable=False, default="")
     confidence = Column(Float, nullable=False, default=0.0)
@@ -233,11 +234,11 @@ class ClassificationJobModel(Base):
 class GenerationTaskModel(Base):
     __tablename__ = "generation_tasks"
 
-    id = Column(String(32), primary_key=True)
-    project_id = Column(String(32), nullable=False, default="", index=True)
-    strategy_id = Column(String(32), nullable=False, default="")
-    asset_library_id = Column(String(32), nullable=False, default="", index=True)
-    voice_library_id = Column(String(32), nullable=False, default="")
+    id = Column(String(36), primary_key=True)
+    project_id = Column(String(36), nullable=False, default="", index=True)
+    strategy_id = Column(String(36), nullable=False, default="")
+    asset_library_id = Column(String(36), nullable=False, default="", index=True)
+    voice_library_id = Column(String(36), nullable=False, default="")
     template_id = Column(String(36), nullable=False, default="", index=True)
     asset_ids = Column(JSON, nullable=False, default=list)
     title_ids = Column(JSON, nullable=False, default=list)
@@ -251,20 +252,21 @@ class GenerationTaskModel(Base):
     error_message = Column(Text, nullable=False, default="")
     started_at = Column(DateTime, nullable=True)
     completed_at = Column(DateTime, nullable=True)
-    created_by_user_id = Column(String(32), nullable=False, default="", index=True)
-    source_edit_plan_id = Column(String(32), nullable=True, index=True)
+    created_by_user_id = Column(String(36), nullable=False, default="", index=True)
+    source_edit_plan_id = Column(String(36), nullable=True, index=True)
     asset_select_mode = Column(String(20), nullable=False, default="")
-    batch_id = Column(String(32), nullable=False, default="", index=True)
+    batch_id = Column(String(36), nullable=False, default="", index=True)
     extra_meta = Column("metadata", JSON, nullable=False, default=dict)
+    logs = Column(Text, nullable=False, default="[]", server_default="[]")
     created_at = Column(DateTime, nullable=False, default=lambda: datetime.now(timezone.utc))
 
 
 class GeneratedVideoModel(Base):
     __tablename__ = "generated_videos"
 
-    id = Column(String(32), primary_key=True)
-    project_id = Column(String(32), nullable=False, index=True)
-    generation_task_id = Column(String(32), nullable=False, index=True)
+    id = Column(String(36), primary_key=True)
+    project_id = Column(String(36), nullable=False, index=True)
+    generation_task_id = Column(String(36), nullable=False, index=True)
     name = Column(String(255), nullable=False)
     # file_url: 完整可访问的 URL，用于客户端直接访问视频
     file_url = Column(String(1000), nullable=False)
@@ -283,7 +285,7 @@ class GeneratedVideoModel(Base):
     updated_at = Column(DateTime, nullable=True)
     video_fingerprint = Column(Text, nullable=True)
     is_duplicate = Column(Boolean, nullable=False, default=False)
-    duplicate_of = Column(String(32), nullable=True)
+    duplicate_of = Column(String(36), nullable=True)
 
 
 class TitleLibraryModel(Base):
@@ -450,8 +452,8 @@ class JobModel(Base):
 
     __tablename__ = "jobs"
 
-    id = Column(String(32), primary_key=True)
-    project_id = Column(String(32), nullable=False, index=True)
+    id = Column(String(36), primary_key=True)
+    project_id = Column(String(36), nullable=False, index=True)
     job_type = Column(String(30), nullable=False, index=True)
     status = Column(String(20), nullable=False, default="pending", index=True)
     progress = Column(Float, nullable=False, default=0.0)
@@ -462,8 +464,8 @@ class JobModel(Base):
     retry_count = Column(Integer, nullable=False, default=0)
     max_retries = Column(Integer, nullable=False, default=3)
     celery_task_id = Column(String(100), nullable=False, default="")
-    source_id = Column(String(32), nullable=False, default="", index=True)
-    created_by_user_id = Column(String(32), nullable=False, default="", index=True)
+    source_id = Column(String(36), nullable=False, default="", index=True)
+    created_by_user_id = Column(String(36), nullable=False, default="", index=True)
     started_at = Column(DateTime, nullable=True)
     completed_at = Column(DateTime, nullable=True)
     created_at = Column(DateTime, nullable=False, default=lambda: datetime.now(timezone.utc))

packages/application/cosyvoice_service.py

@@ -1,11 +1,13 @@
-"""CosyVoice 语音服务 — Phase 3.
+"""CosyVoice 语音服务 — 适配阿里云百炼 DashScope API.
 
-封装阿里云 CosyVoice 语音合成 API，提供：
+封装阿里云百炼 CosyVoice 语音合成 API，提供：
 - 预置音色列表查询
-- 音色克隆（提交任务 + 轮询状态）
-- 语音合成（提交任务 + 轮询状态）
+- 音色克隆（提交 + 轮询状态）
+- 语音合成（同步非流式调用）
 
-API 文档: https://help.aliyun.com/zh/model-studio/cosyvoice
+API 文档:
+- 音色克隆: https://help.aliyun.com/document_detail/3027318.html
+- 语音合成: https://help.aliyun.com/zh/model-studio/cosyvoice-tts-http-api
 """
 
 from __future__ import annotations
@@ -60,33 +62,34 @@ class SynthesizeResult:
 
 
 class CosyVoiceService:
-    """CosyVoice 语音服务。
+    """CosyVoice 语音服务.
 
-    封装阿里云 CosyVoice API，提供音色克隆和语音合成功能。
-    支持同步和异步两种模式：
-    - 同步：API 直接返回结果
-    - 异步：API 返回 task_id，需要轮询状态
+    封装阿里云百炼 CosyVoice API，提供音色克隆和语音合成功能.
+
+    接口总览:
+    - 音色克隆: POST /services/audio/tts/customization (model=voice-enrollment)
+      - action=create_voice: 创建克隆音色，返回 voice_id（状态 DEPLOYING）
+      - action=query_voice: 查询音色状态（DEPLOYING / OK / UNDEPLOYED）
+    - 语音合成: POST /services/audio/tts/SpeechSynthesizer (model=cosyvoice-v3-flash)
+      - 非流式: 同步返回音频 URL
 
     使用示例:
         service = CosyVoiceService(
             api_key="your-api-key",
-            base_url="https://dashscope.aliyuncs.com/api/v1/services/aigc/text2audio",
-            model="cosyvoice-v1",
+            base_url="https://dashscope.aliyuncs.com/api/v1",
+            model="cosyvoice-v3-flash",
         )
 
-        # 获取预置音色
-        voices = service.list_preset_voices()
-
         # 音色克隆
         result = service.clone_voice(audio_url="https://example.com/audio.mp3")
 
         # 语音合成
-        result = service.synthesize_speech(text="你好世界", voice_id="longxiaochun")
+        result = service.synthesize_speech(text="你好世界", voice_id="longxiaochun_v3")
     """
 
-    # 轮询配置
-    POLL_INTERVAL = 2.0  # 秒
-    MAX_POLL_ATTEMPTS = 60  # 最多轮询 60 次（2分钟）
+    # 音色状态轮询配置
+    CLONE_POLL_INTERVAL = 5.0  # 秒
+    CLONE_MAX_POLL_ATTEMPTS = 60  # 最多轮询 60 次（5分钟）
 
     # 重试配置
     MAX_RETRIES = 3
@@ -97,27 +100,70 @@ class CosyVoiceService:
         api_key: str = "",
         base_url: str = "",
         model: str = "",
+        clone_model: str = "",
         http_client: Optional[httpx.Client] = None,
+        audio_url_signer: Optional[callable] = None,
     ) -> None:
-        """初始化 CosyVoice 服务。
+        """初始化 CosyVoice 服务.
 
         Args:
-            api_key: CosyVoice API Key，为空时从配置读取
-            base_url: CosyVoice API Base URL，为空时从配置读取
-            model: CosyVoice 模型名称，为空时从配置读取
+            api_key: DashScope API Key，为空时从配置读取
+            base_url: DashScope API Base URL，为空时从配置读取
+            model: 语音合成模型名称，为空时从配置读取
+            clone_model: 音色克隆模型名称，为空时从配置读取
             http_client: 可选的 HTTP 客户端（用于测试注入）
+            audio_url_signer: 可选的音频URL预签名函数，签名式 fn(url) -> str.
+                用于私有 bucket 下，将裸 URL 转为预签名 URL，
+                确保 CosyVoice 服务器能下载参考音频.
         """
         settings = get_shared_settings()
 
         self._api_key = api_key or settings.cosyvoice_api_key
         self._base_url = base_url or settings.cosyvoice_base_url
         self._model = model or settings.cosyvoice_model
+        self._clone_model = clone_model or getattr(settings, "cosyvoice_clone_model", "voice-enrollment")
+        self._audio_url_signer = audio_url_signer
+
+        # base_url 规范化：去掉末尾的路径残留（兼容旧版配置）
+        # 旧版 .env 模板中 base_url 包含 /services/aigc/text2audio 完整路径，
+        # 新版只需 /api/v1，具体路径由代码拼接。这里自动修正，避免配置滞后导致418。
+        if "/services/aigc/text2audio" in self._base_url:
+            old_url = self._base_url
+            # 截取到 /api/v1 为止
+            idx = self._base_url.find("/api/v1")
+            if idx >= 0:
+                self._base_url = self._base_url[: idx + len("/api/v1")]
+            logger.warning(
+                "[CosyVoice Config] base_url包含旧版text2audio路径，已自动修正: " "%s -> %s",
+                old_url,
+                self._base_url,
+            )
 
         self._client = http_client or httpx.Client(
-            timeout=httpx.Timeout(30.0, connect=10.0),
+            timeout=httpx.Timeout(60.0, connect=10.0),
         )
         self._owns_client = http_client is None
 
+        # 启动时打印配置（脱敏），方便排查环境变量覆盖问题
+        if self._owns_client:
+            masked_key = ""
+            if self._api_key:
+                if len(self._api_key) > 8:
+                    masked_key = f"{self._api_key[:4]}...{self._api_key[-4:]}"
+                else:
+                    masked_key = "***"
+            logger.info(
+                "[CosyVoice Config] 初始化配置: "
+                "model=%s, base_url=%s, default_voice=%s, "
+                "sample_rate=%d, format=%s, api_key=%s",
+                self._model,
+                self._base_url,
+                getattr(settings, "cosyvoice_voice", "(unset)"),
+                settings.cosyvoice_sample_rate,
+                settings.cosyvoice_format,
+                masked_key or "(empty)",
+            )
+
     def __enter__(self) -> CosyVoiceService:
         return self
 
@@ -132,7 +178,7 @@ class CosyVoiceService:
     # ── 预置音色 ─────────────────────────────────────────
 
     def list_preset_voices(self) -> list[PresetVoice]:
-        """获取预置音色列表。
+        """获取预置音色列表.
 
         Returns:
             预置音色列表
@@ -146,20 +192,22 @@ class CosyVoiceService:
         audio_url: str,
         voice_name: str = "",
         language: str = "zh-CN",
+        target_model: str = "",
     ) -> dict:
-        """提交音色克隆任务（非阻塞）。
+        """提交音色克隆任务（非阻塞）.
 
-        只提交任务到 CosyVoice API，不轮询结果。
-        返回的 dict 包含 task_id（异步）或 voice_id（同步）。
+        调用百炼 voice-enrollment API 创建克隆音色.
+        创建后音色状态为 DEPLOYING，需通过 query_voice_status 轮询直到 OK.
 
         Args:
-            audio_url: 参考音频 URL
-            voice_name: 音色名称（可选）
-            language: 语言代码
+            audio_url: 参考音频 URL（必须公网可访问）
+            voice_name: 音色名称前缀（字母数字，最多10字符）
+            language: 语言代码（zh-CN 会转换为 zh）
+            target_model: 目标合成模型，默认使用当前 model
 
         Returns:
-            dict: {"task_id": str, "voice_id": str, "request_id": str}
-                  task_id 和 voice_id 至少有一个非空
+            dict: {"voice_id": str, "status": str, "request_id": str}
+                  voice_id 非空，status 通常为 DEPLOYING
 
         Raises:
             CosyVoiceError: API 调用失败
@@ -171,48 +219,67 @@ class CosyVoiceService:
         if not self._api_key:
             raise CosyVoiceAuthError("CosyVoice API Key 未配置")
 
+        # voice_name 作为 prefix，限制字母数字，最多10字符
+        # 不符合要求的做清洗
+        prefix = self._sanitize_prefix(voice_name) if voice_name else "clone"
+
+        # 语言转换：zh-CN → zh，保留 ISO 639-1 格式
+        lang_code = language.split("-")[0].lower() if language else "zh"
+
+        target = target_model or self._model
+
+        # 如果配置了 audio_url_signer，对音频URL做预签名
+        # （私有 bucket 下 CosyVoice 服务器无法直接访问裸 URL）
+        signed_audio_url = audio_url
+        if self._audio_url_signer:
+            try:
+                signed_audio_url = self._audio_url_signer(audio_url)
+                logger.info("音频URL已预签名: original=%s signed_prefix=%s", audio_url[:80], signed_audio_url[:80])
+            except Exception as e:
+                logger.warning("音频URL预签名失败，使用原始URL: %s", e)
+
         payload = {
-            "model": self._model,
+            "model": self._clone_model,
             "input": {
-                "audio_url": audio_url,
-            },
-            "parameters": {
-                "language": language,
+                "action": "create_voice",
+                "target_model": target,
+                "prefix": prefix,
+                "url": signed_audio_url,
+                "language_hints": [lang_code],
             },
         }
-        if voice_name:
-            payload["parameters"]["voice_name"] = voice_name
 
         response = self._call_api(
             method="POST",
-            path="/services/audio/voice-clone",
+            path="/services/audio/tts/customization",
             json=payload,
             timeout=60.0,
         )
 
         output = response.get("output", {})
-        task_id = output.get("task_id", "")
         voice_id = output.get("voice_id", "")
+        status = output.get("status", "DEPLOYING")
         request_id = response.get("request_id", "")
 
-        if not task_id and not voice_id:
-            raise CosyVoiceError(f"CosyVoice API 未返回 task_id 或 voice_id: {response}")
+        if not voice_id:
+            raise CosyVoiceError(f"CosyVoice API 未返回 voice_id: {response}")
 
         return {
-            "task_id": task_id,
             "voice_id": voice_id,
+            "status": status,
             "request_id": request_id,
         }
 
-    def check_task_status(self, task_id: str) -> dict:
-        """查询克隆任务状态（单次查询，不轮询）。
+    def query_voice_status(self, voice_id: str) -> dict:
+        """查询音色状态（单次查询，不轮询）.
 
         Args:
-            task_id: 任务 ID
+            voice_id: 音色 ID
 
         Returns:
-            dict: {"status": str, "voice_id": str, "message": str}
-                  status 为 SUCCEEDED/FAILED/PENDING/RUNNING
+            dict: {"status": str, "target_model": str, "gmt_create": str,
+                   "gmt_modified": str, "resource_link": str}
+                  status 为 DEPLOYING / OK / UNDEPLOYED
 
         Raises:
             CosyVoiceError: API 调用失败
@@ -221,40 +288,92 @@ class CosyVoiceService:
         if not self._api_key:
             raise CosyVoiceAuthError("CosyVoice API Key 未配置")
 
+        if not voice_id:
+            raise ValueError("voice_id 不能为空")
+
+        payload = {
+            "model": self._clone_model,
+            "input": {
+                "action": "query_voice",
+                "voice_id": voice_id,
+            },
+        }
+
         response = self._call_api(
-            method="GET",
-            path=f"/tasks/{task_id}",
+            method="POST",
+            path="/services/audio/tts/customization",
+            json=payload,
             timeout=30.0,
         )
 
         output = response.get("output", {})
-        status = output.get("task_status", "").upper()
-        voice_id = output.get("voice_id", "")
-        message = output.get("message", "")
-
         return {
-            "status": status,
-            "voice_id": voice_id,
-            "message": message,
+            "status": output.get("status", ""),
+            "target_model": output.get("target_model", ""),
+            "gmt_create": output.get("gmt_create", ""),
+            "gmt_modified": output.get("gmt_modified", ""),
+            "resource_link": output.get("resource_link", ""),
         }
 
-    def poll_clone_task(self, task_id: str, timeout: float = 300.0) -> dict:
-        """轮询音色克隆任务状态（公开方法）。
+    def check_task_status(self, task_id: str) -> dict:
+        """查询克隆任务状态（兼容旧接口，实际用 voice_id 查询）.
 
-        供 Celery 后台任务调用，轮询直到完成或超时。
+        为了兼容旧代码，task_id 参数名保留，但实际传的是 voice_id.
 
         Args:
-            task_id: CosyVoice 任务 ID
+            task_id: 音色 ID（兼容旧接口名）
+
+        Returns:
+            dict: {"status": str, "voice_id": str, "message": str}
+        """
+        result = self.query_voice_status(task_id)
+        return {
+            "status": result["status"],
+            "voice_id": task_id,
+            "message": "",
+        }
+
+    def poll_clone_task(self, voice_id: str, timeout: float = 300.0) -> dict:
+        """轮询音色克隆状态直到完成或超时.
+
+        供 Celery 后台任务调用，轮询直到状态变为 OK 或 UNDEPLOYED.
+
+        Args:
+            voice_id: 音色 ID
             timeout: 超时时间（秒），默认 300
 
         Returns:
             dict: {"voice_id": str}
 
         Raises:
-            CosyVoiceError: 任务失败
+            CosyVoiceError: 任务失败（状态 UNDEPLOYED）
             CosyVoiceTimeoutError: 超时
         """
-        return self._poll_clone_task(task_id, timeout=timeout)
+        start_time = time.time()
+        attempts = 0
+
+        while attempts < self.CLONE_MAX_POLL_ATTEMPTS:
+            elapsed = time.time() - start_time
+            if elapsed > timeout:
+                raise CosyVoiceTimeoutError(f"音色克隆任务超时（{timeout}秒）: voice_id={voice_id}")
+
+            result = self.query_voice_status(voice_id)
+            status = result.get("status", "").upper()
+
+            if status == "OK":
+                return {"voice_id": voice_id}
+            elif status == "UNDEPLOYED":
+                raise CosyVoiceError(f"音色克隆任务失败（审核未通过）: voice_id={voice_id}")
+            elif status in ("DEPLOYING", "PENDING", "PROCESSING", ""):
+                # 继续轮询
+                time.sleep(self.CLONE_POLL_INTERVAL)
+                attempts += 1
+            else:
+                logger.warning("未知的音色状态: %s (voice_id=%s)", status, voice_id)
+                time.sleep(self.CLONE_POLL_INTERVAL)
+                attempts += 1
+
+        raise CosyVoiceTimeoutError(f"音色克隆任务轮询次数超限: voice_id={voice_id}")
 
     def clone_voice(
         self,
@@ -262,122 +381,45 @@ class CosyVoiceService:
         voice_name: str = "",
         language: str = "zh-CN",
         timeout: float = 300.0,
+        target_model: str = "",
     ) -> CloneResult:
-        """克隆音色。
+        """克隆音色（阻塞，直到完成或超时）.
 
-        提交音色克隆任务到 CosyVoice API，并轮询直到完成或超时。
+        提交音色克隆到百炼 API，并轮询直到状态变为 OK 或超时.
 
         Args:
-            audio_url: 参考音频 URL
-            voice_name: 音色名称（可选）
+            audio_url: 参考音频 URL（必须公网可访问）
+            voice_name: 音色名称前缀
             language: 语言代码
             timeout: 超时时间（秒）
+            target_model: 目标合成模型
 
         Returns:
             CloneResult: 克隆结果，包含 voice_id
 
         Raises:
-            CosyVoiceError: API 调用失败
+            CosyVoiceError: API 调用失败或克隆失败
             CosyVoiceTimeoutError: 超时
             CosyVoiceAuthError: 认证失败
             ValueError: 参数无效
         """
-        if not audio_url:
-            raise ValueError("audio_url 不能为空")
-        if not self._api_key:
-            raise CosyVoiceAuthError("CosyVoice API Key 未配置")
-
-        # 构建请求
-        payload = {
-            "model": self._model,
-            "input": {
-                "audio_url": audio_url,
-            },
-            "parameters": {
-                "language": language,
-            },
-        }
-        if voice_name:
-            payload["parameters"]["voice_name"] = voice_name
-
-        # 调用 API
-        response = self._call_api(
-            method="POST",
-            path="/services/audio/voice-clone",
-            json=payload,
-            timeout=timeout,
+        submit_result = self.submit_clone_task(
+            audio_url=audio_url,
+            voice_name=voice_name,
+            language=language,
+            target_model=target_model,
         )
 
-        # 解析响应
-        output = response.get("output", {})
+        voice_id = submit_result["voice_id"]
+        request_id = submit_result["request_id"]
 
-        # 检查是否有 task_id（异步模式）
-        task_id = output.get("task_id")
-        voice_id = output.get("voice_id")
+        # 如果创建时已经是 OK 状态，直接返回
+        if submit_result.get("status", "").upper() == "OK":
+            return CloneResult(voice_id=voice_id, request_id=request_id)
 
-        if task_id:
-            # 异步模式：轮询任务状态
-            result = self._poll_clone_task(task_id, timeout)
-            return CloneResult(
-                voice_id=result["voice_id"],
-                request_id=response.get("request_id", ""),
-            )
-        elif voice_id:
-            # 同步模式：直接返回结果
-            return CloneResult(
-                voice_id=voice_id,
-                request_id=response.get("request_id", ""),
-            )
-        else:
-            raise CosyVoiceError(f"CosyVoice API 未返回 task_id 或 voice_id: {response}")
-
-    def _poll_clone_task(self, task_id: str, timeout: float) -> dict:
-        """轮询音色克隆任务状态。
-
-        Args:
-            task_id: 任务 ID
-            timeout: 超时时间（秒）
-
-        Returns:
-            任务结果字典
-
-        Raises:
-            CosyVoiceError: 任务失败
-            CosyVoiceTimeoutError: 超时
-        """
-        start_time = time.time()
-        attempts = 0
-
-        while attempts < self.MAX_POLL_ATTEMPTS:
-            elapsed = time.time() - start_time
-            if elapsed > timeout:
-                raise CosyVoiceTimeoutError(f"音色克隆任务超时（{timeout}秒）: task_id={task_id}")
-
-            response = self._call_api(
-                method="GET",
-                path=f"/tasks/{task_id}",
-                timeout=30.0,
-            )
-
-            output = response.get("output", {})
-            status = output.get("task_status", "").upper()
-
-            if status == "SUCCEEDED":
-                voice_id = output.get("voice_id", "")
-                if not voice_id:
-                    raise CosyVoiceError(f"音色克隆任务成功但未返回 voice_id: {response}")
-                return {"voice_id": voice_id}
-            elif status == "FAILED":
-                error_msg = output.get("message", "未知错误")
-                raise CosyVoiceError(f"音色克隆任务失败: {error_msg}")
-            elif status in ("PENDING", "RUNNING"):
-                # 继续轮询
-                time.sleep(self.POLL_INTERVAL)
-                attempts += 1
-            else:
-                raise CosyVoiceError(f"未知的任务状态: {status}")
-
-        raise CosyVoiceTimeoutError(f"音色克隆任务轮询次数超限: task_id={task_id}")
+        # 否则轮询
+        result = self.poll_clone_task(voice_id, timeout=timeout)
+        return CloneResult(voice_id=result["voice_id"], request_id=request_id)
 
     # ── 语音合成 ─────────────────────────────────────────
 
@@ -388,11 +430,12 @@ class CosyVoiceService:
         sample_rate: int = 0,
         format: str = "",
         speed: float = 1.0,
+        volume: int = 50,
     ) -> dict:
-        """提交语音合成任务（非阻塞）。
+        """提交语音合成任务（同步非流式，直接返回结果）.
 
-        只提交任务到 CosyVoice API，不轮询结果。
-        返回的 dict 包含 task_id（异步）或 audio_url（同步）。
+        CosyVoice SpeechSynthesizer 非流式接口是同步的，
+        调用后直接返回音频 URL. 此方法保持与旧接口兼容.
 
         Args:
             text: 要合成的文本
@@ -400,10 +443,11 @@ class CosyVoiceService:
             sample_rate: 采样率（Hz），0 表示使用配置默认值
             format: 输出格式（mp3/wav/pcm），空表示使用配置默认值
             speed: 语速（0.5-2.0），1.0 为正常速度
+            volume: 音量（0-100），默认 50
 
         Returns:
-            dict: {"task_id": str, "audio_url": str, "request_id": str}
-                  task_id 和 audio_url 至少有一个非空
+            dict: {"audio_url": str, "request_id": str,
+                   "duration": float, "file_size": int}
 
         Raises:
             CosyVoiceError: API 调用失败
@@ -423,55 +467,47 @@ class CosyVoiceService:
             "model": self._model,
             "input": {
                 "text": text,
-            },
-            "parameters": {
                 "voice": voice_id,
-                "sample_rate": sample_rate or settings.cosyvoice_sample_rate,
                 "format": format or settings.cosyvoice_format,
+                "sample_rate": sample_rate or settings.cosyvoice_sample_rate,
                 "rate": speed,
+                "volume": volume,
             },
         }
 
         response = self._call_api(
             method="POST",
-            path="/services/aigc/text2audio/generation",
+            path="/services/audio/tts/SpeechSynthesizer",
             json=payload,
-            timeout=60.0,
+            timeout=120.0,
         )
 
         output = response.get("output", {})
-        task_id = output.get("task_id", "")
-        audio_url = output.get("audio_url", "")
+        audio = output.get("audio", {})
+        audio_url = audio.get("url", "")
         request_id = response.get("request_id", "")
 
-        if not task_id and not audio_url:
-            raise CosyVoiceError(f"CosyVoice API 未返回 task_id 或 audio_url: {response}")
+        if not audio_url:
+            raise CosyVoiceError(f"CosyVoice API 未返回 audio_url: {response}")
 
         return {
-            "task_id": task_id,
+            "task_id": "",  # 同步接口无 task_id，兼容旧接口
             "audio_url": audio_url,
-            "duration": output.get("duration", 0.0),
-            "file_size": output.get("file_size", 0),
+            "duration": 0.0,  # 同步接口不返回 duration
+            "file_size": 0,  # 同步接口不返回 file_size
             "request_id": request_id,
         }
 
     def poll_synthesize_task(self, task_id: str, timeout: float = 120.0) -> dict:
-        """轮询语音合成任务状态（公开方法）。
+        """轮询合成任务（同步接口无需轮询，保留兼容）.
 
-        供 Celery 后台任务调用，轮询直到完成或超时。
-
-        Args:
-            task_id: CosyVoice 任务 ID
-            timeout: 超时时间（秒），默认 120
-
-        Returns:
-            dict: {"audio_url": str, "duration": float, "file_size": int}
+        CosyVoice SpeechSynthesizer 非流式接口是同步的，
+        此方法仅为保持接口兼容，实际调用时 task_id 应该为空.
 
         Raises:
-            CosyVoiceError: 任务失败
-            CosyVoiceTimeoutError: 超时
+            CosyVoiceError: 同步接口无需轮询
         """
-        return self._poll_synthesize_task(task_id, timeout=timeout)
+        raise CosyVoiceError("CosyVoice 非流式合成接口是同步的，无需轮询. " "请直接使用 submit_synthesize_task().")
 
     def synthesize_speech(
         self,
@@ -480,11 +516,13 @@ class CosyVoiceService:
         sample_rate: int = 0,
         format: str = "",
         speed: float = 1.0,
+        volume: int = 50,
         timeout: float = 120.0,
     ) -> SynthesizeResult:
-        """语音合成。
+        """语音合成（同步非流式）.
 
-        提交语音合成任务到 CosyVoice API，并轮询直到完成或超时。
+        调用百炼 CosyVoice SpeechSynthesizer 非流式接口，
+        直接返回合成音频 URL.
 
         Args:
             text: 要合成的文本
@@ -492,129 +530,53 @@ class CosyVoiceService:
             sample_rate: 采样率（Hz），0 表示使用配置默认值
             format: 输出格式（mp3/wav/pcm），空表示使用配置默认值
             speed: 语速（0.5-2.0），1.0 为正常速度
-            timeout: 超时时间（秒）
+            volume: 音量（0-100），默认 50
+            timeout: 超时时间（秒），保留参数兼容
 
         Returns:
             SynthesizeResult: 合成结果，包含 audio_url
 
         Raises:
             CosyVoiceError: API 调用失败
-            CosyVoiceTimeoutError: 超时
             CosyVoiceAuthError: 认证失败
             ValueError: 参数无效
         """
-        if not text:
-            raise ValueError("text 不能为空")
-        if not voice_id:
-            raise ValueError("voice_id 不能为空")
-        if not self._api_key:
-            raise CosyVoiceAuthError("CosyVoice API Key 未配置")
-
-        settings = get_shared_settings()
-
-        # 构建请求
-        payload = {
-            "model": self._model,
-            "input": {
-                "text": text,
-            },
-            "parameters": {
-                "voice": voice_id,
-                "sample_rate": sample_rate or settings.cosyvoice_sample_rate,
-                "format": format or settings.cosyvoice_format,
-                "rate": speed,
-            },
-        }
-
-        # 调用 API
-        response = self._call_api(
-            method="POST",
-            path="/services/aigc/text2audio/generation",
-            json=payload,
-            timeout=timeout,
+        result = self.submit_synthesize_task(
+            text=text,
+            voice_id=voice_id,
+            sample_rate=sample_rate,
+            format=format,
+            speed=speed,
+            volume=volume,
         )
 
-        # 解析响应
-        output = response.get("output", {})
-
-        # 检查是否有 task_id（异步模式）
-        task_id = output.get("task_id")
-        audio_url = output.get("audio_url")
-
-        if task_id:
-            # 异步模式：轮询任务状态
-            result = self._poll_synthesize_task(task_id, timeout)
-            return SynthesizeResult(
-                audio_url=result["audio_url"],
-                duration=result.get("duration", 0.0),
-                file_size=result.get("file_size", 0),
-                request_id=response.get("request_id", ""),
-            )
-        elif audio_url:
-            # 同步模式：直接返回结果
-            return SynthesizeResult(
-                audio_url=audio_url,
-                duration=output.get("duration", 0.0),
-                file_size=output.get("file_size", 0),
-                request_id=response.get("request_id", ""),
-            )
-        else:
-            raise CosyVoiceError(f"CosyVoice API 未返回 audio_url 或 task_id: {response}")
-
-    def _poll_synthesize_task(self, task_id: str, timeout: float) -> dict:
-        """轮询语音合成任务状态。
-
-        Args:
-            task_id: 任务 ID
-            timeout: 超时时间（秒）
-
-        Returns:
-            任务结果字典
-
-        Raises:
-            CosyVoiceError: 任务失败
-            CosyVoiceTimeoutError: 超时
-        """
-        start_time = time.time()
-        attempts = 0
-
-        while attempts < self.MAX_POLL_ATTEMPTS:
-            elapsed = time.time() - start_time
-            if elapsed > timeout:
-                raise CosyVoiceTimeoutError(f"语音合成任务超时（{timeout}秒）: task_id={task_id}")
-
-            response = self._call_api(
-                method="GET",
-                path=f"/tasks/{task_id}",
-                timeout=30.0,
-            )
-
-            output = response.get("output", {})
-            status = output.get("task_status", "").upper()
-
-            if status == "SUCCEEDED":
-                audio_url = output.get("audio_url", "")
-                if not audio_url:
-                    raise CosyVoiceError(f"语音合成任务成功但未返回 audio_url: {response}")
-                return {
-                    "audio_url": audio_url,
-                    "duration": output.get("duration", 0.0),
-                    "file_size": output.get("file_size", 0),
-                }
-            elif status == "FAILED":
-                error_msg = output.get("message", "未知错误")
-                raise CosyVoiceError(f"语音合成任务失败: {error_msg}")
-            elif status in ("PENDING", "RUNNING"):
-                # 继续轮询
-                time.sleep(self.POLL_INTERVAL)
-                attempts += 1
-            else:
-                raise CosyVoiceError(f"未知的任务状态: {status}")
-
-        raise CosyVoiceTimeoutError(f"语音合成任务轮询次数超限: task_id={task_id}")
+        return SynthesizeResult(
+            audio_url=result["audio_url"],
+            duration=result.get("duration", 0.0),
+            file_size=result.get("file_size", 0),
+            request_id=result.get("request_id", ""),
+        )
 
     # ── 内部方法 ─────────────────────────────────────────
 
+    def _sanitize_prefix(self, name: str) -> str:
+        """清洗音色名称为合法的 prefix（字母数字，最多10字符）.
+
+        Args:
+            name: 原始音色名称
+
+        Returns:
+            清洗后的 prefix
+        """
+        # 只保留字母和数字
+        cleaned = "".join(c for c in name if c.isalnum())
+        # 最多10字符
+        cleaned = cleaned[:10]
+        # 如果清洗后为空，用默认值
+        if not cleaned:
+            cleaned = "clone"
+        return cleaned
+
     def _call_api(
         self,
         method: str,
@@ -622,13 +584,13 @@ class CosyVoiceService:
         json: Optional[dict] = None,
         timeout: float = 30.0,
     ) -> dict:
-        """调用 CosyVoice API。
+        """调用 DashScope API.
 
-        支持重试和错误处理。
+        支持重试和错误处理.
 
         Args:
             method: HTTP 方法（GET/POST）
-            path: API 路径
+            path: API 路径（以 / 开头）
             json: 请求体
             timeout: 超时时间（秒）
 
@@ -646,6 +608,22 @@ class CosyVoiceService:
             "Content-Type": "application/json",
         }
 
+        # DEBUG: 打印完整请求信息，用于排查418错误
+        import json as json_lib
+
+        safe_headers = {k: v for k, v in headers.items()}
+        if "Authorization" in safe_headers:
+            token = safe_headers["Authorization"]
+            if len(token) > 20:
+                safe_headers["Authorization"] = token[:13] + "..." + token[-4:]
+        logger.info(
+            "[CosyVoice Debug] 请求详情: " "method=%s, url=%s, headers=%s, body=%s",
+            method,
+            url,
+            safe_headers,
+            json_lib.dumps(json, ensure_ascii=False) if json else "None",
+        )
+
         last_error: Optional[Exception] = None
 
         for attempt in range(self.MAX_RETRIES):
@@ -658,29 +636,58 @@ class CosyVoiceService:
                     timeout=timeout,
                 )
 
+                # DEBUG: 打印响应状态和完整响应体
+                logger.info(
+                    "[CosyVoice Debug] 响应详情: " "status=%d, body=%s",
+                    response.status_code,
+                    response.text[:2000],  # 最多2000字符，避免日志过大
+                )
+
                 # 处理响应
                 if response.status_code == 200:
                     return response.json()
                 elif response.status_code in (401, 403):
                     raise CosyVoiceAuthError(f"CosyVoice API 认证失败: HTTP {response.status_code}")
+                elif response.status_code == 400:
+                    # 客户端错误，不重试
+                    body_text = response.text
+                    try:
+                        body = response.json()
+                        code = body.get("code", "")
+                        message = body.get("message", "")
+                        raise CosyVoiceError(f"CosyVoice API 参数错误: HTTP 400, " f"code={code}, message={message}")
+                    except ValueError:
+                        raise CosyVoiceError(f"CosyVoice API 调用失败: HTTP 400, body={body_text}")
                 elif response.status_code >= 500:
                     # 服务端错误，可重试
                     last_error = CosyVoiceError(f"CosyVoice API 服务端错误: HTTP {response.status_code}")
                     logger.warning(
-                        f"CosyVoice API 失败 (尝试 {attempt + 1}/{self.MAX_RETRIES}): " f"HTTP {response.status_code}"
+                        "CosyVoice API 失败 (尝试 %d/%d): HTTP %d",
+                        attempt + 1,
+                        self.MAX_RETRIES,
+                        response.status_code,
                     )
                 else:
-                    # 客户端错误，不重试
+                    # 其他客户端错误，不重试
                     raise CosyVoiceError(
                         f"CosyVoice API 调用失败: HTTP {response.status_code}, " f"body={response.text}"
                     )
 
             except httpx.TimeoutException as e:
                 last_error = CosyVoiceTimeoutError(f"请求超时: {e}")
-                logger.warning(f"CosyVoice API 超时 (尝试 {attempt + 1}/{self.MAX_RETRIES})")
+                logger.warning(
+                    "CosyVoice API 超时 (尝试 %d/%d)",
+                    attempt + 1,
+                    self.MAX_RETRIES,
+                )
             except httpx.RequestError as e:
                 last_error = CosyVoiceError(f"请求错误: {e}")
-                logger.warning(f"CosyVoice API 请求错误 (尝试 {attempt + 1}/{self.MAX_RETRIES}): {e}")
+                logger.warning(
+                    "CosyVoice API 请求错误 (尝试 %d/%d): %s",
+                    attempt + 1,
+                    self.MAX_RETRIES,
+                    e,
+                )
 
             # 指数退避
             if attempt < self.MAX_RETRIES - 1:

packages/application/tts_job/workflow.py

@@ -14,7 +14,6 @@ import logging
 import os
 import shutil
 import tempfile
-import time
 from concurrent.futures import ThreadPoolExecutor, as_completed
 from typing import Optional
 
@@ -190,10 +189,13 @@ class TTSWorkflowService:
         return job
 
     def poll_and_process_synthesis(self, job_id: str, timeout: float = 120.0) -> TTSJob:
-        """轮询 CosyVoice 合成任务并处理结果。
+        """轮询/检查 CosyVoice 合成任务并处理结果.
 
-        从 job.metadata 获取 task_id，调用 CosyVoiceService.poll_synthesize_task()
-        轮询状态，然后通过 process_synthesis_result / process_synthesis_failure 更新 job。
+        新 CosyVoice SpeechSynthesizer 非流式接口是同步的，
+        start_synthesis 阶段通常已经完成. 此方法用于：
+        1. job 已 completed → 直接返回（同步路径已处理）
+        2. job 仍在 processing → 重新提交合成（兜底）
+        3. 分段任务 → 检查分段状态
 
         供 Celery 后台任务调用。
         """
@@ -201,22 +203,38 @@ class TTSWorkflowService:
         if job is None:
             raise TTSJobNotFoundError(f"TTS job {job_id} not found")
 
+        # 已完成直接返回（同步路径在 start_synthesis 里已处理）
+        if job.status == TTSJobStatus.COMPLETED.value:
+            logger.info(f"TTS 任务已完成，跳过轮询: job_id={job_id}")
+            return job
+
         # 检查是否为分段合成任务
         segment_task_ids = (job.metadata or {}).get("segment_task_ids", [])
         if segment_task_ids:
             return self._poll_segment_tasks(job)
 
+        # 单段模式：同步接口下通常不会走到这里，
+        # 但如果因为异常导致仍在 processing，重新提交一次
         task_id = (job.metadata or {}).get("cosyvoice_task_id", "")
-        if not task_id:
-            raise ValueError(f"TTSJob {job_id} has no cosyvoice_task_id in metadata")
 
-        result = self.cosyvoice_service.poll_synthesize_task(task_id, timeout=timeout)
-        return self.process_synthesis_result(
-            job_id,
-            audio_url=result["audio_url"],
-            duration=result.get("duration", 0.0),
-            file_size=result.get("file_size", 0),
-        )
+        # 新接口（同步）：没有 task_id，重新合成
+        if not task_id:
+            logger.info(f"TTS 任务无 task_id，重新同步合成: job_id={job_id}")
+            return self._resynthesize_and_complete(job)
+
+        # 旧接口遗留的 task_id，尝试轮询（兼容过渡）
+        try:
+            result = self.cosyvoice_service.poll_synthesize_task(task_id, timeout=timeout)
+            return self.process_synthesis_result(
+                job_id,
+                audio_url=result["audio_url"],
+                duration=result.get("duration", 0.0),
+                file_size=result.get("file_size", 0),
+            )
+        except CosyVoiceError:
+            # 旧接口轮询失败，重新同步合成
+            logger.warning(f"旧 task_id 轮询失败，重新同步合成: job_id={job_id}, task_id={task_id}")
+            return self._resynthesize_and_complete(job)
 
     def process_synthesis_result(
         self,
@@ -257,6 +275,40 @@ class TTSWorkflowService:
         logger.info(f"TTS 合成成功: job_id={job_id}, audio_url={permanent_url}")
         return job
 
+    def _resynthesize_and_complete(self, job: TTSJob) -> TTSJob:
+        """重新同步合成并完成任务（兜底路径）.
+
+        当 poll_and_process_synthesis 发现 job 仍在 processing 且无 task_id 时，
+        重新调用同步合成接口，转存 OSS 后标记完成。
+        """
+        try:
+            # 从 metadata 读取合成参数（兼容旧数据，无则用默认值）
+            job_metadata = job.metadata or {}
+            speed = float(job_metadata.get("speed", 1.0))
+            volume = int(job_metadata.get("volume", 50))
+
+            result = self.cosyvoice_service.submit_synthesize_task(
+                text=job.input_text,
+                voice_id=job.voice_id,
+                sample_rate=job.sample_rate,
+                format=job.format,
+                speed=speed,
+                volume=volume,
+            )
+            audio_url = result.get("audio_url", "")
+            if not audio_url:
+                raise CosyVoiceError("重新合成未返回 audio_url")
+
+            return self.process_synthesis_result(
+                job.id,
+                audio_url=audio_url,
+                duration=result.get("duration", 0.0),
+                file_size=result.get("file_size", 0),
+            )
+        except Exception as e:
+            logger.error(f"重新同步合成失败: job_id={job.id}, error={e}")
+            return self.process_synthesis_failure(job.id, str(e))
+
     def process_synthesis_failure(self, job_id: str, error_message: str) -> TTSJob:
         """处理合成失败结果。
 
@@ -429,69 +481,95 @@ class TTSWorkflowService:
             shutil.rmtree(temp_dir, ignore_errors=True)
 
     def _poll_segment_tasks(self, job: TTSJob) -> TTSJob:
-        """轮询所有分段异步任务，全部完成后合并音频。"""
+        """分段任务完成检查（适配新同步接口）.
+
+        新 CosyVoice SpeechSynthesizer 非流式接口为同步接口，
+        分段任务在提交时应已同步返回 audio_url。
+        若历史任务处于 processing 且有 segment_task_ids 但缺少 audio_url，
+        则对缺失分段重新同步合成，全部完成后合并音频。
+        """
         segment_task_ids: list[str] = (job.metadata or {}).get("segment_task_ids", [])
         segment_audio_urls: list[str] = (job.metadata or {}).get("segment_audio_urls", [])
         segment_count = len(segment_task_ids)
 
-        poll_start = time.monotonic()
-        poll_timeout = 300.0  # 分段任务超时更长
-        poll_interval = 2.0
+        if segment_count == 0:
+            logger.warning(f"分段任务无 task_id: job_id={job.id}")
+            self._handle_segment_failure(job, "分段任务数据异常：无分段信息")
+            return self.repository.get(job.id)
 
-        while time.monotonic() - poll_start < poll_timeout:
-            all_done = True
-            results: list[dict | None] = [None] * segment_count
+        # 从 metadata 读取合成参数
+        job_metadata = job.metadata or {}
+        speed = float(job_metadata.get("speed", 1.0))
+        volume = int(job_metadata.get("volume", 50))
 
-            for idx, task_id in enumerate(segment_task_ids):
-                # 已经有音频的分段跳过轮询
-                if idx < len(segment_audio_urls) and segment_audio_urls[idx]:
-                    results[idx] = {
-                        "audio_url": segment_audio_urls[idx],
-                        "duration": 0.0,
-                        "file_size": 0,
-                    }
-                    continue
+        # 分段文本（用于缺失段重新合成）
+        segments = split_text(job.input_text, max_chars=_SEGMENT_THRESHOLD)
 
-                try:
-                    result = self.cosyvoice_service.poll_synthesize_task(task_id, timeout=poll_timeout)
-                    results[idx] = result
-                except Exception as e:
-                    logger.error(f"分段任务轮询失败: job_id={job.id}, " f"segment={idx}, error={e}")
-                    self._handle_segment_failure(job, f"分段 {idx + 1} 轮询失败: {e}")
-                    return self.repository.get(job.id)
+        results: list[dict | None] = [None] * segment_count
 
-                if results[idx] is None:
-                    all_done = False
+        # 已有音频的分段直接用
+        for idx in range(segment_count):
+            if idx < len(segment_audio_urls) and segment_audio_urls[idx]:
+                results[idx] = {
+                    "audio_url": segment_audio_urls[idx],
+                    "duration": 0.0,
+                    "file_size": 0,
+                }
 
-            if all_done and all(r is not None for r in results):
-                # 所有分段完成，下载合并
-                try:
-                    merged_data, total_duration = self._download_and_merge_segments(results, job)
+        # 找出缺失音频的分段索引
+        missing_indices = [i for i in range(segment_count) if results[i] is None]
 
-                    # 转存 OSS
-                    permanent_url, storage_key = self._upload_merged_to_oss(
-                        merged_data, job.user_id, job.id, job.format
+        if missing_indices:
+            logger.info(f"分段任务重新合成缺失段: job_id={job.id}, " f"缺失={len(missing_indices)}/{segment_count}")
+            # 并发重新合成缺失分段
+            max_workers = min(len(missing_indices), _MAX_SEGMENT_WORKERS)
+            with ThreadPoolExecutor(max_workers=max_workers) as executor:
+                future_to_idx = {}
+                for idx in missing_indices:
+                    segment_text = segments[idx] if idx < len(segments) else ""
+                    future = executor.submit(
+                        self.cosyvoice_service.submit_synthesize_task,
+                        text=segment_text,
+                        voice_id=job.voice_id,
+                        sample_rate=job.sample_rate,
+                        format=job.format,
+                        speed=speed,
+                        volume=volume,
                     )
+                    future_to_idx[future] = idx
 
-                    job.mark_completed(
-                        output_audio_url=permanent_url,
-                        output_audio_key=storage_key,
-                        duration=total_duration,
-                        file_size=len(merged_data),
-                    )
-                    job = self.repository.update(job)
-                    logger.info(f"分段合成轮询完成: job_id={job.id}, " f"merged_size={len(merged_data)}")
-                    return job
+                for future in as_completed(future_to_idx):
+                    idx = future_to_idx[future]
+                    try:
+                        results[idx] = future.result()
+                    except Exception as e:
+                        logger.error(f"分段重新合成失败: job_id={job.id}, " f"segment={idx}, error={e}")
+                        self._handle_segment_failure(job, f"分段 {idx + 1} 重新合成失败: {e}")
+                        return self.repository.get(job.id)
 
-                except Exception as e:
-                    self._handle_segment_failure(job, f"分段合并失败: {e}")
-                    return self.repository.get(job.id)
+        # 所有分段完成，下载合并
+        if all(r is not None for r in results):
+            try:
+                merged_data, total_duration = self._download_and_merge_segments(results, job)
 
-            # 等待后重试
-            time.sleep(poll_interval)
+                permanent_url, storage_key = self._upload_merged_to_oss(merged_data, job.user_id, job.id, job.format)
 
-        # 超时
-        self._handle_segment_failure(job, "分段合成轮询超时（300 秒）")
+                job.mark_completed(
+                    output_audio_url=permanent_url,
+                    output_audio_key=storage_key,
+                    duration=total_duration,
+                    file_size=len(merged_data),
+                )
+                job = self.repository.update(job)
+                logger.info(f"分段合成完成（重新合成路径）: job_id={job.id}, " f"merged_size={len(merged_data)}")
+                return job
+
+            except Exception as e:
+                self._handle_segment_failure(job, f"分段合并失败: {e}")
+                return self.repository.get(job.id)
+
+        # 理论上不会到这里（全部重新合成要么成功要么失败）
+        self._handle_segment_failure(job, "分段合成结果不完整")
         return self.repository.get(job.id)
 
     def _handle_segment_failure(self, job: TTSJob, error_message: str) -> None:

packages/application/voice_clone/workflow.py

@@ -115,14 +115,16 @@ class VoiceCloneWorkflowService:
                     language=language,
                 )
 
-                # 4. 保存 task_id / voice_id 到 metadata
+                # 4. 保存 voice_id / request_id 到 metadata
+                # 注意：key 保留 cosyvoice_task_id 以兼容旧数据，实际存的是 voice_id
                 task_metadata = dict(profile.metadata)
-                task_metadata["cosyvoice_task_id"] = submit_result.get("task_id", "")
+                task_metadata["cosyvoice_task_id"] = submit_result.get("voice_id", "")
                 task_metadata["cosyvoice_request_id"] = submit_result.get("request_id", "")
 
-                # 如果 CosyVoice 同步返回了 voice_id，直接标记 ready
+                # 如果 CosyVoice 直接返回了 OK 状态，直接标记 ready
                 voice_id = submit_result.get("voice_id", "")
-                if voice_id:
+                status = submit_result.get("status", "").upper()
+                if voice_id and status == "OK":
                     profile.mark_ready(voice_id)
                     profile.metadata = task_metadata
                     profile = self.repository.update(profile)
@@ -131,7 +133,9 @@ class VoiceCloneWorkflowService:
 
                 profile.metadata = task_metadata
                 profile = self.repository.update(profile)
-                logger.info(f"音色克隆任务已提交: profile_id={profile.id}, " f"task_id={submit_result.get('task_id')}")
+                logger.info(
+                    f"音色克隆任务已提交: profile_id={profile.id}, " f"voice_id={submit_result.get('voice_id')}"
+                )
 
             except (CosyVoiceError, CosyVoiceAuthError) as e:
                 # CosyVoice 提交失败，标记为 failed
@@ -248,11 +252,12 @@ class VoiceCloneWorkflowService:
                 )
 
                 task_metadata = dict(profile.metadata)
-                task_metadata["cosyvoice_task_id"] = submit_result.get("task_id", "")
+                task_metadata["cosyvoice_task_id"] = submit_result.get("voice_id", "")
                 task_metadata["cosyvoice_request_id"] = submit_result.get("request_id", "")
 
                 voice_id = submit_result.get("voice_id", "")
-                if voice_id:
+                status = submit_result.get("status", "").upper()
+                if voice_id and status == "OK":
                     profile.mark_ready(voice_id)
                     profile.metadata = task_metadata
                     profile = self.repository.update(profile)

packages/domain/config_schemas.py

@@ -8,6 +8,7 @@
 
 from __future__ import annotations
 
+import copy
 from enum import Enum
 from typing import List, Optional
 
@@ -129,24 +130,29 @@ class EditPlanConfigSchema(BaseModel):
 
     用于 API 层校验和默认值填充。所有子结构均可选，
     未传入时使用各自默认值。
+    editing_mode 记录计划使用的剪辑模式。
     """
 
     cover: CoverConfig = Field(default_factory=CoverConfig, description="封面配置")
     title: TitleConfig = Field(default_factory=TitleConfig, description="标题配置")
     subtitle: SubtitleConfig = Field(default_factory=SubtitleConfig, description="字幕配置")
     bgm: BGMConfig = Field(default_factory=BGMConfig, description="BGM 配置")
+    editing_mode: str = Field(default="one_take", description="剪辑模式")
 
 
 class EditTemplateConfigSchema(BaseModel):
     """EditTemplate.config 完整结构
 
     模板级别的默认配置，创建计划时可作为初始值继承。
+    editing_mode 指定模板对应的剪辑模式，transition_enabled 控制是否启用转场。
     """
 
     cover: CoverConfig = Field(default_factory=CoverConfig, description="封面默认配置")
     title: TitleConfig = Field(default_factory=TitleConfig, description="标题默认配置")
     subtitle: SubtitleConfig = Field(default_factory=SubtitleConfig, description="字幕默认配置")
     bgm: BGMConfig = Field(default_factory=BGMConfig, description="BGM 默认配置")
+    editing_mode: str = Field(default="one_take", description="剪辑模式")
+    transition_enabled: bool = Field(default=True, description="是否启用转场")
 
 
 # ── 默认值常量 ────────────────────────────────────────────────────────────────
@@ -183,9 +189,13 @@ DEFAULT_EDIT_PLAN_CONFIG: dict = {
         "asset_id": "",
         "volume": 0.3,
     },
+    "editing_mode": "one_take",
 }
 
-DEFAULT_EDIT_TEMPLATE_CONFIG: dict = DEFAULT_EDIT_PLAN_CONFIG.copy()
+DEFAULT_EDIT_TEMPLATE_CONFIG: dict = {
+    **DEFAULT_EDIT_PLAN_CONFIG,
+    "transition_enabled": True,
+}
 
 
 # ── 工具函数 ──────────────────────────────────────────────────────────────────
@@ -197,9 +207,7 @@ def normalize_plan_config(raw: dict | None) -> dict:
     用于创建/更新计划时确保 config 结构完整。
     """
     if raw is None:
-        return DEFAULT_EDIT_PLAN_CONFIG.copy()
-
-    import copy
+        return copy.deepcopy(DEFAULT_EDIT_PLAN_CONFIG)
 
     base = copy.deepcopy(DEFAULT_EDIT_PLAN_CONFIG)
 
@@ -209,14 +217,43 @@ def normalize_plan_config(raw: dict | None) -> dict:
                 base[section_key] = {}
             base[section_key].update(raw[section_key])
 
+    # editing_mode 顶层字段
+    if "editing_mode" in raw and isinstance(raw["editing_mode"], str):
+        base["editing_mode"] = raw["editing_mode"]
+
     # 保留非标准字段（如 generation_task_id）
     for key, value in raw.items():
-        if key not in ("cover", "title", "subtitle", "bgm"):
+        if key not in ("cover", "title", "subtitle", "bgm", "editing_mode"):
             base[key] = value
 
     return base
 
 
 def normalize_template_config(raw: dict | None) -> dict:
-    """将模板原始 config dict 标准化。逻辑同 normalize_plan_config。"""
-    return normalize_plan_config(raw)
+    """将模板原始 config dict 标准化。
+
+    在 plan config 基础上额外支持 transition_enabled 字段。
+    """
+    if raw is None:
+        return copy.deepcopy(DEFAULT_EDIT_TEMPLATE_CONFIG)
+
+    base = copy.deepcopy(DEFAULT_EDIT_TEMPLATE_CONFIG)
+
+    for section_key in ("cover", "title", "subtitle", "bgm"):
+        if section_key in raw and isinstance(raw[section_key], dict):
+            if section_key not in base:
+                base[section_key] = {}
+            base[section_key].update(raw[section_key])
+
+    # 顶层字段
+    if "editing_mode" in raw and isinstance(raw["editing_mode"], str):
+        base["editing_mode"] = raw["editing_mode"]
+    if "transition_enabled" in raw and isinstance(raw["transition_enabled"], bool):
+        base["transition_enabled"] = raw["transition_enabled"]
+
+    # 保留非标准字段
+    for key, value in raw.items():
+        if key not in ("cover", "title", "subtitle", "bgm", "editing_mode", "transition_enabled"):
+            base[key] = value
+
+    return base

packages/domain/edit_template.py

@@ -18,6 +18,8 @@ else:
 from typing import Any
 from uuid import uuid4
 
+from .editing_mode import EditingMode
+
 
 class EditTemplateStatus(StrEnum):
     """模板状态"""
@@ -26,18 +28,25 @@ class EditTemplateStatus(StrEnum):
     INACTIVE = "inactive"
 
 
+_VALID_EDITING_MODES = {m.value for m in EditingMode}
+
+
 @dataclass(slots=True)
 class EditTemplate:
     """Phase 8 剪辑模板实体
 
     全局模板库中的模板，定义剪辑风格、配置参数和预览信息。
     不绑定到具体项目，可被多个 EditPlan 引用。
+
+    editing_mode 指定模板对应的剪辑模式（one_take / pip / voice_over / voice_pip），
+    决定剪辑计划生成时的片段结构。
     """
 
     id: str
     name: str
     description: str = ""
     template_type: str = "default"
+    editing_mode: str = EditingMode.ONE_TAKE.value
     config: dict[str, Any] = field(default_factory=dict)
     preview_url: str = ""
     sort_weight: int = 0
@@ -52,6 +61,7 @@ class EditTemplate:
         *,
         description: str = "",
         template_type: str = "default",
+        editing_mode: str = EditingMode.ONE_TAKE.value,
         config: dict[str, Any] | None = None,
         preview_url: str = "",
         sort_weight: int = 0,
@@ -61,11 +71,17 @@ class EditTemplate:
         clean_name = name.strip()
         if not clean_name:
             raise ValueError("模板名称不能为空")
+        clean_mode = editing_mode.strip() or EditingMode.ONE_TAKE.value
+        if clean_mode not in _VALID_EDITING_MODES:
+            raise ValueError(
+                f"无效的 editing_mode: {clean_mode}，" f"允许值: {', '.join(sorted(_VALID_EDITING_MODES))}"
+            )
         return cls(
             id=uuid4().hex,
             name=clean_name,
             description=description.strip(),
             template_type=template_type.strip() or "default",
+            editing_mode=clean_mode,
             config=config or {},
             preview_url=preview_url.strip(),
             sort_weight=sort_weight,

packages/domain/entities.py

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

packages/domain/generation_task.py

@@ -1,5 +1,14 @@
+"""GenerationTask 领域模型 — 视频生成任务.
+
+状态机：
+  pending → running → completed
+              ↘ failed → pending (重试)
+       ↘ cancelled
+"""
+
 from __future__ import annotations
 
+import json
 import sys
 from dataclasses import dataclass, field
 from datetime import datetime, timezone
@@ -17,11 +26,43 @@ from uuid import uuid4
 
 
 class GenerationTaskStatus(StrEnum):
+    """生成任务状态枚举。"""
+
     PENDING = "pending"
+    """待处理（任务已创建，等待执行）"""
+
     RUNNING = "running"
+    """运行中（正在生成视频）"""
+
     COMPLETED = "completed"
+    """已完成（视频生成成功）"""
+
     FAILED = "failed"
+    """失败（生成失败）"""
+
     CANCELLED = "cancelled"
+    """已取消（用户取消或系统取消）"""
+
+
+# 终态集合
+TERMINAL_STATUSES = frozenset(
+    {GenerationTaskStatus.COMPLETED, GenerationTaskStatus.FAILED, GenerationTaskStatus.CANCELLED}
+)
+
+# 合法状态转换
+_VALID_TRANSITIONS: dict[GenerationTaskStatus, set[GenerationTaskStatus]] = {
+    GenerationTaskStatus.PENDING: {
+        GenerationTaskStatus.RUNNING,
+        GenerationTaskStatus.FAILED,
+        GenerationTaskStatus.CANCELLED,
+    },
+    GenerationTaskStatus.RUNNING: {
+        GenerationTaskStatus.COMPLETED,
+        GenerationTaskStatus.FAILED,
+        GenerationTaskStatus.CANCELLED,
+    },
+    GenerationTaskStatus.FAILED: {GenerationTaskStatus.PENDING},  # 重试回到 pending
+}
 
 
 @dataclass(slots=True)
@@ -45,6 +86,7 @@ class GenerationTask:
     created_by_user_id: str = ""
     asset_select_mode: str = ""
     batch_id: str = ""
+    logs: str = "[]"
     created_at: datetime = field(default_factory=lambda: datetime.now(timezone.utc))
 
     @classmethod
@@ -83,3 +125,160 @@ class GenerationTask:
             asset_select_mode=asset_select_mode,
             batch_id=batch_id,
         )
+
+    # ── 状态查询 ────────────────────────────────────────────────────────────
+
+    @property
+    def is_terminal(self) -> bool:
+        """是否处于终态（completed / failed / cancelled）。"""
+        return self.status in TERMINAL_STATUSES
+
+    @property
+    def is_completed(self) -> bool:
+        """是否已完成。"""
+        return self.status == GenerationTaskStatus.COMPLETED
+
+    @property
+    def is_failed(self) -> bool:
+        """是否失败。"""
+        return self.status == GenerationTaskStatus.FAILED
+
+    @property
+    def is_running(self) -> bool:
+        """是否运行中。"""
+        return self.status == GenerationTaskStatus.RUNNING
+
+    # ── 状态转换 ────────────────────────────────────────────────────────────
+
+    def transition_to(self, new_status: GenerationTaskStatus | str) -> None:
+        """执行状态转换。
+
+        Args:
+            new_status: 目标状态
+
+        Raises:
+            ValueError: 非法状态转换
+        """
+        if isinstance(new_status, str):
+            try:
+                new_status = GenerationTaskStatus(new_status)
+            except ValueError:
+                raise ValueError(f"无效状态: {new_status}")
+
+        allowed = _VALID_TRANSITIONS.get(self.status, set())
+        if new_status not in allowed:
+            raise ValueError(
+                f"非法状态转换: {self.status.value} → {new_status.value}，"
+                f"允许: {{{', '.join(sorted(s.value for s in allowed))}}}"
+            )
+
+        self.status = new_status
+
+    def mark_processing(self) -> None:
+        """标记为处理中（pending → running）。
+
+        设置 started_at，清除 error_message。
+
+        Raises:
+            ValueError: 当前状态不允许转换到 running
+        """
+        self.transition_to(GenerationTaskStatus.RUNNING)
+        self.started_at = datetime.now(timezone.utc)
+        self.error_message = ""
+
+    def mark_completed(self, result_count: int = 1) -> None:
+        """标记为已完成（running → completed）。
+
+        设置 completed_at、progress=100.0、result_count，清除 error_message。
+
+        Args:
+            result_count: 生成的视频数量，默认为 1
+
+        Raises:
+            ValueError: 当前状态不允许转换到 completed
+        """
+        self.transition_to(GenerationTaskStatus.COMPLETED)
+        self.completed_at = datetime.now(timezone.utc)
+        self.progress = 100.0
+        self.result_count = result_count
+        self.error_message = ""
+
+    def mark_failed(self, error_message: str) -> None:
+        """标记为失败（pending / running → failed）。
+
+        设置 error_message、completed_at。
+
+        Args:
+            error_message: 错误信息
+
+        Raises:
+            ValueError: 当前状态不允许转换到 failed
+        """
+        self.transition_to(GenerationTaskStatus.FAILED)
+        self.error_message = error_message
+        self.completed_at = datetime.now(timezone.utc)
+
+    def mark_cancelled(self) -> None:
+        """标记为已取消（pending / running → cancelled）。
+
+        设置 completed_at。
+
+        Raises:
+            ValueError: 当前状态不允许转换到 cancelled
+        """
+        self.transition_to(GenerationTaskStatus.CANCELLED)
+        self.completed_at = datetime.now(timezone.utc)
+
+    # ── 日志辅助 ────────────────────────────────────────────────────────────
+
+    _MAX_LOGS = 200
+
+    def append_log(self, stage: str, message: str, level: str = "INFO", **kwargs) -> None:
+        """追加一条结构化日志到 logs 字段。
+
+        Args:
+            stage: 阶段名称（如 "接收任务"、"下载素材"、"渲染"）
+            message: 日志消息
+            level: 日志级别（INFO / WARN / ERROR）
+            **kwargs: 额外字段（如 asset_id、duration 等）
+        """
+        try:
+            entries = json.loads(self.logs) if self.logs else []
+        except (json.JSONDecodeError, TypeError):
+            entries = []
+        entry = {
+            "ts": datetime.now(timezone.utc).isoformat(),
+            "level": level,
+            "stage": stage,
+            "message": message,
+            **kwargs,
+        }
+        entries.append(entry)
+        # 限制最多保留 _MAX_LOGS 条，防止字段过大
+        if len(entries) > self._MAX_LOGS:
+            entries = entries[-self._MAX_LOGS :]
+        self.logs = json.dumps(entries, ensure_ascii=False)
+
+    def get_logs(self) -> list[dict]:
+        """解析 logs 字段为 list[dict]。"""
+        try:
+            return json.loads(self.logs) if self.logs else []
+        except (json.JSONDecodeError, TypeError):
+            return []
+
+    def mark_pending_from_failed(self) -> None:
+        """从失败状态重置为待处理（用于重试）。
+
+        清除 error_message、started_at、completed_at、progress。
+
+        Raises:
+            ValueError: 当前状态不是 failed
+        """
+        if self.status != GenerationTaskStatus.FAILED:
+            raise ValueError(f"只有 failed 状态的任务可以重置为 pending，当前状态: {self.status.value}")
+        self.transition_to(GenerationTaskStatus.PENDING)
+        self.error_message = ""
+        self.started_at = None
+        self.completed_at = None
+        self.progress = 0.0
+        self.result_count = 0

packages/domain/preset_voices.py

@@ -16,7 +16,7 @@ class PresetVoice:
     """预置音色定义。
 
     Attributes:
-        voice_id: CosyVoice 模型音色名（如 longxiaochun）
+        voice_id: CosyVoice 模型音色名（如 longxiaochun_v3）
         name: 中文展示名
         description: 音色描述
         gender: 性别（male/female）
@@ -49,7 +49,7 @@ class PresetVoice:
 # 预置音色列表（阿里云 CosyVoice 真实可用音色）
 PRESET_VOICES: list[PresetVoice] = [
     PresetVoice(
-        voice_id="longxiaochun",
+        voice_id="longxiaochun_v3",
         name="龙小淳",
         description="温柔女声，适合情感类内容",
         gender="female",
@@ -57,7 +57,7 @@ PRESET_VOICES: list[PresetVoice] = [
         tags=["温柔", "女声", "情感"],
     ),
     PresetVoice(
-        voice_id="longxiaoxia",
+        voice_id="longxiaoxia_v3",
         name="龙小夏",
         description="知性女声，适合新闻播报",
         gender="female",
@@ -65,7 +65,7 @@ PRESET_VOICES: list[PresetVoice] = [
         tags=["知性", "女声", "播报"],
     ),
     PresetVoice(
-        voice_id="longxiaochen",
+        voice_id="longxiaochen_v3",
         name="龙小晨",
         description="磁性男声，适合有声书",
         gender="male",
@@ -73,7 +73,7 @@ PRESET_VOICES: list[PresetVoice] = [
         tags=["磁性", "男声", "有声书"],
     ),
     PresetVoice(
-        voice_id="longyue",
+        voice_id="longyue_v3",
         name="龙悦",
         description="甜美女声，适合广告配音",
         gender="female",
@@ -81,7 +81,7 @@ PRESET_VOICES: list[PresetVoice] = [
         tags=["甜美", "女声", "广告"],
     ),
     PresetVoice(
-        voice_id="longshu",
+        voice_id="longshu_v3",
         name="龙书",
         description="沉稳男声，适合教育讲解",
         gender="male",
@@ -89,7 +89,7 @@ PRESET_VOICES: list[PresetVoice] = [
         tags=["沉稳", "男声", "教育"],
     ),
     PresetVoice(
-        voice_id="longjing",
+        voice_id="longjing_v3",
         name="龙静",
         description="优雅女声，适合纪录片解说",
         gender="female",
@@ -97,7 +97,7 @@ PRESET_VOICES: list[PresetVoice] = [
         tags=["优雅", "女声", "纪录片"],
     ),
     PresetVoice(
-        voice_id="longbo",
+        voice_id="longbo_v3",
         name="龙博",
         description="浑厚男声，适合科技类内容",
         gender="male",
@@ -105,7 +105,7 @@ PRESET_VOICES: list[PresetVoice] = [
         tags=["浑厚", "男声", "科技"],
     ),
     PresetVoice(
-        voice_id="longtian",
+        voice_id="longtian_v3",
         name="龙甜",
         description="活泼女声，适合短视频配音",
         gender="female",

packages/ports/generation_task_repository.py

@@ -16,6 +16,10 @@ class GenerationTaskRepository(Protocol):
 
     def count_by_user(self, user_id: str) -> int: ...
 
+    def count_pending_by_user(self, user_id: str) -> int: ...
+
+    def count_pending_total(self) -> int: ...
+
     def list_recent_by_user(self, user_id: str, limit: int = 5) -> list[GenerationTask]: ...
 
     def list_by_source_edit_plan(self, plan_id: str) -> list[GenerationTask]: ...

packages/shared/config.py

@@ -29,13 +29,15 @@ class SharedSettings(BaseSettings):
     oss_access_key_secret: str = ""
     oss_bucket_name: str = "xiaoxia-autocut"
 
-    # CosyVoice (阿里云语音合成)
+    # CosyVoice (阿里云百炼语音合成)
     cosyvoice_api_key: str = ""
-    cosyvoice_base_url: str = "https://dashscope.aliyuncs.com/api/v1/services/aigc/text2audio"
-    cosyvoice_model: str = "cosyvoice-v1"
-    cosyvoice_voice: str = "longxiaochun"  # 默认音色
+    cosyvoice_base_url: str = "https://dashscope.aliyuncs.com/api/v1"
+    cosyvoice_model: str = "cosyvoice-v3-flash"
+    cosyvoice_voice: str = "longxiaochun_v3"  # 默认音色（v3 系列系统音色带 _v3 后缀）
     cosyvoice_sample_rate: int = 22050
     cosyvoice_format: str = "mp3"  # 输出格式：mp3/wav/pcm
+    # 音色克隆模型名（固定为 voice-enrollment）
+    cosyvoice_clone_model: str = "voice-enrollment"
 
     # Environment
     environment: str = "development"

pyproject.toml

@@ -1,7 +1,70 @@
 [tool.black]
 line-length = 120
 target-version = ["py312"]
+extend-exclude = '''
+(
+  \.git
+  | \.cache
+  | \.pytest_cache
+  | \.mypy_cache
+  | __pycache__
+  | node_modules
+  | \.venv
+  | venv
+  | build
+  | dist
+  | \.next
+  | out
+  | coverage
+)
+'''
 
 [tool.isort]
 profile = "black"
 line_length = 120
+extend_skip_glob = [
+    ".git/**",
+    ".cache/**",
+    ".pytest_cache/**",
+    ".mypy_cache/**",
+    "__pycache__/**",
+    "node_modules/**",
+    ".venv/**",
+    "venv/**",
+    "build/**",
+    "dist/**",
+    ".next/**",
+    "out/**",
+    "coverage/**",
+]
+
+[tool.coverage.run]
+source = ["apps/api/app", "packages"]
+omit = [
+    "*/migrations/*",
+    "*/tests/*",
+    "*/test_*.py",
+    "*/site-packages/*",
+]
+branch = true
+
+[tool.coverage.report]
+exclude_lines = [
+    "pragma: no cover",
+    "def __repr__",
+    "if __name__ == .__main__.:",
+    "raise NotImplementedError",
+    "pass",
+    "if TYPE_CHECKING:",
+    "class .*Protocol",
+    "@abstractmethod",
+    "raise AssertionError",
+    "raise RuntimeError",
+    "if 0:",
+    "if __debug__:",
+]
+show_missing = true
+skip_covered = false
+
+[tool.coverage.xml]
+output = "coverage.xml"

pytest.ini

@@ -1,3 +1,8 @@
 [pytest]
 pythonpath = . apps/api apps/worker
 testpaths = tests
+
+# ===== 覆盖率配置 =====
+# 覆盖率统计范围（供 --cov 使用时的默认源）
+# 注意：addopts 不默认开启 --cov，避免影响本地开发调试
+# CI 中通过命令行参数显式开启：--cov=apps --cov-report=term --cov-report=xml --cov-fail-under=50

requirements-base.txt

@@ -24,6 +24,9 @@ celery==5.4.0
 
 # 对象存储
 oss2==2.18.4
+cryptography==46.0.5
+# 覆盖系统预装的旧版pyOpenSSL，与cryptography 46.0.5兼容
+pyOpenSSL==26.2.0
 
 # HTTP 客户端
 httpx==0.27.2

scripts/build_release_images.sh

@@ -30,7 +30,8 @@ fi
 # ---- Registry 配置 ----
 REGISTRY="${REGISTRY:-git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas}"
 CACHE_REGISTRY="${CACHE_REGISTRY:-git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas}"
-CACHE_TAG="${CACHE_TAG:-release}"
+# 主缓存 tag：develop 分支构建时写入，所有分支读取
+CACHE_TAG_PRIMARY="${CACHE_TAG:-develop}"
 
 API_IMAGE="xiaoxia-saas-api:$VERSION"
 WORKER_IMAGE="xiaoxia-saas-worker:$VERSION"
@@ -45,6 +46,7 @@ REGISTRY_WEB="${REGISTRY}/xiaoxia-saas-web:$VERSION"
 
 USE_CACHE=0
 USE_PUSH=0
+CACHE_WRITE=0
 
 # 检查 buildx 和 Registry 认证
 if docker buildx version >/dev/null 2>&1; then
@@ -54,9 +56,13 @@ if docker buildx version >/dev/null 2>&1; then
   docker buildx use default 2>/dev/null || true
 fi
 
-echo "=== Building API image ==="
+# ---- 缓存读写策略（按分支隔离）----
+# 默认只读不写，防止 feature 分支污染主缓存
+# 只有 develop/main 分支才写回缓存
+BRANCH_NAME="${GITHUB_REF_NAME:-${CI_COMMIT_BRANCH:-unknown}}"
 if [ "$USE_CACHE" -eq 1 ]; then
   docker buildx build \
+    --build-arg APP_VERSION="$VERSION" \
     --cache-from "type=registry,ref=${CACHE_REGISTRY}/api-cache:${CACHE_TAG},ignore-error=true" \
     --cache-to "type=registry,ref=${CACHE_REGISTRY}/api-cache:${CACHE_TAG},mode=max" \
     -f infra/docker/api.Dockerfile \
@@ -64,12 +70,59 @@ if [ "$USE_CACHE" -eq 1 ]; then
     --load \
     .
 else
-  docker build --pull=false -f infra/docker/api.Dockerfile -t "$API_IMAGE" -t "$API_LATEST" .
+  docker build --pull=false --build-arg APP_VERSION="$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 \
+    --build-arg APP_VERSION="$VERSION" \
     --cache-from "type=registry,ref=${CACHE_REGISTRY}/worker-cache:${CACHE_TAG},ignore-error=true" \
     --cache-to "type=registry,ref=${CACHE_REGISTRY}/worker-cache:${CACHE_TAG},mode=max" \
     -f infra/docker/worker.Dockerfile \
@@ -77,13 +130,20 @@ if [ "$USE_CACHE" -eq 1 ]; then
     --load \
     .
 else
-  docker build --pull=false -f infra/docker/worker.Dockerfile -t "$WORKER_IMAGE" -t "$WORKER_LATEST" .
+  docker build --pull=false --build-arg APP_VERSION="$VERSION" -f infra/docker/worker.Dockerfile -t "$WORKER_IMAGE" -t "$WORKER_LATEST" .
 fi
 
 echo "=== Building Web image (with buildx cache) ==="
-# 先构建前端产物
+# 先构建前端产物（使用持久化 npm 缓存卷）
+NPM_CACHE_VOLUME="xiaoxia-npm-cache"
+if ! docker volume inspect "$NPM_CACHE_VOLUME" >/dev/null 2>&1; then
+  docker volume create "$NPM_CACHE_VOLUME" >/dev/null
+  echo "  Created npm cache volume: $NPM_CACHE_VOLUME"
+fi
+
 docker run --rm \
   -v "$PWD:/workspace" \
+  -v "$NPM_CACHE_VOLUME:/workspace/apps/web/node_modules" \
   -w /workspace/apps/web \
   docker.m.daocloud.io/library/node:20 \
   sh -lc "npm ci && npm run build"

scripts/ci_coverage_summary.py

@@ -0,0 +1,34 @@
+#!/usr/bin/env python3
+"""解析 coverage.xml 并输出覆盖率汇总。"""
+
+import os
+import sys
+import xml.etree.ElementTree as ET
+
+THRESHOLD = int(os.environ.get("COVERAGE_THRESHOLD", 65))  # 行覆盖率门槛，百分比，可通过环境变量覆盖
+
+
+def main() -> int:
+    try:
+        tree = ET.parse("coverage.xml")
+    except FileNotFoundError:
+        print("coverage.xml 不存在，跳过汇总")
+        return 0
+
+    root = tree.getroot()
+    line_rate = float(root.get("line-rate", 0)) * 100
+    branch_rate = float(root.get("branch-rate", 0)) * 100
+    lines_covered = int(root.get("lines-covered", 0))
+    lines_valid = int(root.get("lines-valid", 0))
+
+    print(f"行覆盖率: {line_rate:.2f}% ({lines_covered}/{lines_valid})")
+    print(f"分支覆盖率: {branch_rate:.2f}%")
+    print(f"门槛: {THRESHOLD}%")
+    status = "PASS ✅" if line_rate >= THRESHOLD else "FAIL ❌"
+    print(f"状态: {status}")
+
+    return 0 if line_rate >= THRESHOLD else 1
+
+
+if __name__ == "__main__":
+    sys.exit(main())

scripts/ci_notify_failure.py

@@ -0,0 +1,83 @@
+#!/usr/bin/env python3
+"""发送 CI 失败通知到飞书/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，跳过通知")
+        print("如需启用，请在仓库 Settings -> Secrets and variables -> Actions 中添加 CI_NOTIFY_WEBHOOK")
+        return 0
+
+    failed_job = os.environ.get("FAILED_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 构建失败",
+                },
+                "status": "red",
+            },
+            "elements": [
+                {
+                    "tag": "div",
+                    "text": {
+                        "tag": "lark_md",
+                        "content": (
+                            f"**任务**: {failed_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": "查看失败日志"},
+                            "url": run_url,
+                            "type": "danger",
+                        }
+                    ],
+                },
+            ],
+        },
+    }
+
+    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("通知已发送")
+    except Exception as e:
+        print(f"通知发送失败: {e}", file=sys.stderr)
+        return 1
+
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())

scripts/ci_notify_success.py

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

setup.cfg

@@ -3,6 +3,7 @@ max-line-length = 120
 extend-ignore = E203,W503,E501,E302,E402,E722,W291,W293,F401,F403,F405,F841
 exclude =
     .git,
+    .cache,
     __pycache__,
     .venv,
     .venv-ci-root,

tests/integration/test_four_mode_rendering.py

@@ -0,0 +1,236 @@
+"""四模式渲染集成测试.
+
+验证 4 种剪辑模式（ONE_TAKE / PIP / VOICE_OVER / VOICE_PIP）通过
+_build_plan_and_clips_from_task + UnifiedRenderService 的完整渲染流程。
+
+需要 ffmpeg 可用；CI 无 ffmpeg 时自动跳过。
+"""
+
+from __future__ import annotations
+
+import shutil
+import subprocess
+import tempfile
+from pathlib import Path
+
+import pytest
+from video_processing.unified_render_service import (
+    RenderResult,
+    UnifiedRenderService,
+    _resolve_layer_role,
+)
+from worker_app.tasks.generation import _build_plan_and_clips_from_task
+
+pytestmark = pytest.mark.skipif(
+    not shutil.which("ffmpeg"),
+    reason="ffmpeg not available",
+)
+
+
+# ── 辅助函数 ──────────────────────────────────────────────────────────────────
+
+
+def _generate_test_video(path: Path, duration: float = 3.0, color: str = "red") -> None:
+    """生成一个纯色测试视频。"""
+    cmd = [
+        "ffmpeg",
+        "-y",
+        "-f",
+        "lavfi",
+        "-i",
+        f"color=c={color}:s=640x360:d={duration}:r=25",
+        "-c:v",
+        "libx264",
+        "-pix_fmt",
+        "yuv420p",
+        "-movflags",
+        "+faststart",
+        str(path),
+    ]
+    subprocess.run(cmd, check=True, capture_output=True, timeout=30)
+
+
+def _render_with_mode(
+    mode: str,
+    num_clips: int = 3,
+    duration: float = 2.0,
+) -> tuple[RenderResult, Path]:
+    """用指定模式生成测试视频并渲染，返回 (result, work_dir)。
+
+    调用方负责清理 work_dir。
+    """
+    work_dir = Path(tempfile.mkdtemp(prefix="test_4mode_"))
+
+    # 生成测试视频素材
+    colors = ["red", "green", "blue", "yellow", "purple"]
+    downloaded_paths: list[Path] = []
+    for i in range(num_clips):
+        p = work_dir / f"test_{i:03d}.mp4"
+        _generate_test_video(p, duration=duration, color=colors[i % len(colors)])
+        downloaded_paths.append(p)
+
+    # 构建虚拟 plan + clips
+    task_id = f"test_task_{mode}"
+    plan, clips, asset_path_map = _build_plan_and_clips_from_task(
+        task_id=task_id,
+        downloaded_paths=downloaded_paths,
+        mode=mode,
+    )
+
+    # 渲染
+    service = UnifiedRenderService(
+        plan=plan,
+        clips=clips,
+        asset_path_map=asset_path_map,
+        work_dir=work_dir,
+        output_width=640,
+        output_height=360,
+        output_fps=25,
+    )
+    result = service.render()
+    return result, work_dir
+
+
+# ── 测试 _build_plan_and_clips_from_task ──────────────────────────────────────
+
+
+class TestBuildPlanAndClips:
+    """测试 4 种模式的虚拟 plan 构建。"""
+
+    def _make_paths(self, n: int) -> list[Path]:
+        return [Path(f"/tmp/test_{i}.mp4") for i in range(n)]
+
+    def test_one_take_mode(self):
+        paths = self._make_paths(3)
+        plan, clips, asset_map = _build_plan_and_clips_from_task("t1", paths, "one_take")
+
+        assert plan.id == "t1"
+        assert len(clips) == 3
+        assert all(c.clip_type == "main" for c in clips)
+        assert len(asset_map) == 3
+
+    def test_pip_mode(self):
+        paths = self._make_paths(3)
+        plan, clips, asset_map = _build_plan_and_clips_from_task("t2", paths, "pip")
+
+        assert len(clips) == 3
+        assert clips[0].clip_type == "main"
+        assert clips[1].clip_type == "overlay"
+        assert clips[2].clip_type == "overlay"
+
+    def test_voice_over_mode(self):
+        paths = self._make_paths(3)
+        plan, clips, asset_map = _build_plan_and_clips_from_task("t3", paths, "voice_over")
+
+        assert len(clips) == 3
+        assert all(c.clip_type == "main" for c in clips)
+        assert all(c.config.get("role") == "b_roll" for c in clips)
+
+    def test_voice_pip_mode(self):
+        paths = self._make_paths(4)
+        plan, clips, asset_map = _build_plan_and_clips_from_task("t4", paths, "voice_pip")
+
+        assert len(clips) == 4
+        assert clips[0].clip_type == "background"
+        assert clips[1].clip_type == "corner_voice"
+        assert clips[2].clip_type == "b_roll"
+        assert clips[3].clip_type == "b_roll"
+
+    def test_unknown_mode_defaults_to_one_take(self):
+        paths = self._make_paths(2)
+        plan, clips, asset_map = _build_plan_and_clips_from_task("t5", paths, "unknown_mode")
+
+        assert len(clips) == 2
+        assert all(c.clip_type == "main" for c in clips)
+
+    def test_asset_path_map_keys_match_clip_asset_ids(self):
+        paths = self._make_paths(3)
+        _, clips, asset_map = _build_plan_and_clips_from_task("t6", paths, "one_take")
+
+        clip_asset_ids = {c.asset_id for c in clips}
+        map_keys = set(asset_map.keys())
+        assert clip_asset_ids == map_keys
+
+
+# ── 测试图层分组（4 模式） ────────────────────────────────────────────────────
+
+
+class TestFourModeLayerGrouping:
+    """验证 4 种模式的 clip_type 分布经 _resolve_layer_role 后产生正确的图层。"""
+
+    def test_one_take_layers(self):
+        """ONE_TAKE: 3 main → 1 main layer。"""
+        paths = [Path(f"/tmp/ot_{i}.mp4") for i in range(3)]
+        _, clips, _ = _build_plan_and_clips_from_task("ot", paths, "one_take")
+
+        roles = {_resolve_layer_role(c.clip_type, c.config) for c in clips}
+        assert roles == {"main"}
+
+    def test_pip_layers(self):
+        """PIP: 1 main + 2 overlay → main + overlay。"""
+        paths = [Path(f"/tmp/pip_{i}.mp4") for i in range(3)]
+        _, clips, _ = _build_plan_and_clips_from_task("pip", paths, "pip")
+
+        roles = {_resolve_layer_role(c.clip_type, c.config) for c in clips}
+        assert roles == {"main", "overlay"}
+
+    def test_voice_over_layers(self):
+        """VOICE_OVER: 3 main(b_roll) → broll。"""
+        paths = [Path(f"/tmp/vo_{i}.mp4") for i in range(3)]
+        _, clips, _ = _build_plan_and_clips_from_task("vo", paths, "voice_over")
+
+        roles = {_resolve_layer_role(c.clip_type, c.config) for c in clips}
+        assert roles == {"broll"}
+
+    def test_voice_pip_layers(self):
+        """VOICE_PIP: 1 bg + 1 corner_voice + 2 b_roll → 3 个图层。"""
+        paths = [Path(f"/tmp/vpip_{i}.mp4") for i in range(4)]
+        _, clips, _ = _build_plan_and_clips_from_task("vpip", paths, "voice_pip")
+
+        roles = {_resolve_layer_role(c.clip_type, c.config) for c in clips}
+        assert roles == {"background", "corner_voice", "broll"}
+
+
+# ── 端到端渲染测试（需要 ffmpeg） ─────────────────────────────────────────────
+
+
+class TestEndToEndRendering:
+    """4 种模式的完整渲染测试，验证输出文件存在且时长合理。"""
+
+    def test_one_take_render(self):
+        result, work_dir = _render_with_mode("one_take", num_clips=2, duration=2.0)
+        try:
+            assert result.output_path.exists()
+            assert result.file_size > 0
+            assert result.duration > 0
+            assert result.width == 640
+            assert result.height == 360
+        finally:
+            shutil.rmtree(work_dir, ignore_errors=True)
+
+    def test_pip_render(self):
+        result, work_dir = _render_with_mode("pip", num_clips=2, duration=2.0)
+        try:
+            assert result.output_path.exists()
+            assert result.file_size > 0
+            assert result.duration > 0
+        finally:
+            shutil.rmtree(work_dir, ignore_errors=True)
+
+    def test_voice_over_render(self):
+        result, work_dir = _render_with_mode("voice_over", num_clips=2, duration=2.0)
+        try:
+            assert result.output_path.exists()
+            assert result.file_size > 0
+            assert result.duration > 0
+        finally:
+            shutil.rmtree(work_dir, ignore_errors=True)
+
+    def test_voice_pip_render(self):
+        result, work_dir = _render_with_mode("voice_pip", num_clips=3, duration=2.0)
+        try:
+            assert result.output_path.exists()
+            assert result.file_size > 0
+            assert result.duration > 0
+        finally:
+            shutil.rmtree(work_dir, ignore_errors=True)

tests/integration/test_full_pipeline.py

@@ -0,0 +1,238 @@
+"""全链路集成测试.
+
+验证 PlanGeneratorService → UnifiedRenderService → 查重 的端到端流程。
+"""
+
+from __future__ import annotations
+
+import shutil
+import subprocess
+import tempfile
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+import pytest
+from video_processing.unified_render_service import (
+    RenderResult,
+    UnifiedRenderService,
+)
+from worker_app.tasks.generation import (
+    OUTPUT_HEIGHT,
+    OUTPUT_WIDTH,
+    _build_plan_and_clips_from_task,
+    _create_fallback_clip,
+    _mux_audio_track,
+)
+
+pytestmark = pytest.mark.skipif(
+    not shutil.which("ffmpeg"),
+    reason="ffmpeg not available",
+)
+
+
+def _generate_test_video(path: Path, duration: float = 3.0) -> None:
+    """生成一个测试视频。"""
+    cmd = [
+        "ffmpeg",
+        "-y",
+        "-f",
+        "lavfi",
+        "-i",
+        f"color=c=blue:s=640x360:d={duration}:r=25",
+        "-c:v",
+        "libx264",
+        "-pix_fmt",
+        "yuv420p",
+        str(path),
+    ]
+    subprocess.run(cmd, check=True, capture_output=True, timeout=30)
+
+
+def _generate_test_audio(path: Path, duration: float = 5.0) -> None:
+    """生成一个测试音频文件。"""
+    cmd = [
+        "ffmpeg",
+        "-y",
+        "-f",
+        "lavfi",
+        "-i",
+        f"sine=frequency=440:duration={duration}",
+        "-c:a",
+        "aac",
+        "-b:a",
+        "128k",
+        str(path),
+    ]
+    subprocess.run(cmd, check=True, capture_output=True, timeout=30)
+
+
+# ── 测试 _create_fallback_clip ────────────────────────────────────────────────
+
+
+class TestFallbackClip:
+    """测试 fallback 视频生成。"""
+
+    def test_fallback_clip_creates_video(self):
+        with tempfile.TemporaryDirectory() as tmpdir:
+            output = Path(tmpdir) / "fallback.mp4"
+            _create_fallback_clip(output, "Test Fallback")
+
+            assert output.exists()
+            assert output.stat().st_size > 0
+
+
+# ── 测试 _mux_audio_track ────────────────────────────────────────────────────
+
+
+class TestMuxAudioTrack:
+    """测试视频+音频混合。"""
+
+    def test_mux_audio_into_video(self):
+        with tempfile.TemporaryDirectory() as tmpdir:
+            video_path = Path(tmpdir) / "video.mp4"
+            audio_path = Path(tmpdir) / "audio.aac"
+            output_path = Path(tmpdir) / "output.mp4"
+
+            _generate_test_video(video_path, duration=3.0)
+            _generate_test_audio(audio_path, duration=5.0)
+
+            _mux_audio_track(video_path, str(audio_path), output_path)
+
+            assert output_path.exists()
+            assert output_path.stat().st_size > 0
+
+            # 验证输出文件包含音频轨
+            probe_cmd = [
+                "ffprobe",
+                "-v",
+                "quiet",
+                "-show_streams",
+                "-select_streams",
+                "a",
+                "-of",
+                "csv=p=0",
+                str(output_path),
+            ]
+            result = subprocess.run(probe_cmd, capture_output=True, text=True, timeout=10)
+            # 如果有音频流，输出非空
+            assert result.stdout.strip() != "" or result.returncode == 0
+
+
+# ── 测试 PlanGenerator → UnifiedRenderService 全链路 ─────────────────────────
+
+
+class TestFullPipeline:
+    """验证从虚拟 plan 构建到渲染输出的完整流程。"""
+
+    def test_one_take_pipeline(self):
+        """ONE_TAKE 模式完整流程。"""
+        with tempfile.TemporaryDirectory() as tmpdir:
+            work_dir = Path(tmpdir)
+
+            # 生成测试素材
+            paths = []
+            for i in range(3):
+                p = work_dir / f"clip_{i}.mp4"
+                _generate_test_video(p, duration=2.0)
+                paths.append(p)
+
+            # 构建虚拟 plan
+            plan, clips, asset_map = _build_plan_and_clips_from_task("pipeline_test", paths, "one_take")
+
+            # 渲染
+            service = UnifiedRenderService(
+                plan=plan,
+                clips=clips,
+                asset_path_map=asset_map,
+                work_dir=work_dir,
+                output_width=640,
+                output_height=360,
+            )
+            result = service.render()
+
+            assert result.output_path.exists()
+            assert result.duration > 0
+            assert result.file_size > 0
+            assert result.width == 640
+            assert result.height == 360
+
+    def test_pipeline_with_audio_mux(self):
+        """渲染 + 混音后处理。"""
+        with tempfile.TemporaryDirectory() as tmpdir:
+            work_dir = Path(tmpdir)
+
+            # 生成测试素材
+            video_path = work_dir / "clip_0.mp4"
+            _generate_test_video(video_path, duration=3.0)
+
+            # 构建虚拟 plan
+            plan, clips, asset_map = _build_plan_and_clips_from_task("audio_test", [video_path], "one_take")
+
+            # 渲染
+            service = UnifiedRenderService(
+                plan=plan,
+                clips=clips,
+                asset_path_map=asset_map,
+                work_dir=work_dir,
+                output_width=640,
+                output_height=360,
+            )
+            render_result = service.render()
+
+            # 混音
+            audio_path = work_dir / "voice.aac"
+            _generate_test_audio(audio_path, duration=5.0)
+
+            final_path = work_dir / "final.mp4"
+            _mux_audio_track(render_result.output_path, str(audio_path), final_path)
+
+            assert final_path.exists()
+            assert final_path.stat().st_size > 0
+
+    def test_single_clip_pipeline(self):
+        """单 clip 渲染（无转场）。"""
+        with tempfile.TemporaryDirectory() as tmpdir:
+            work_dir = Path(tmpdir)
+
+            video_path = work_dir / "single.mp4"
+            _generate_test_video(video_path, duration=5.0)
+
+            plan, clips, asset_map = _build_plan_and_clips_from_task("single_test", [video_path], "one_take")
+
+            service = UnifiedRenderService(
+                plan=plan,
+                clips=clips,
+                asset_path_map=asset_map,
+                work_dir=work_dir,
+                output_width=640,
+                output_height=360,
+            )
+            result = service.render()
+
+            assert result.output_path.exists()
+            assert result.duration > 0
+
+    def test_dedup_helper_integration(self):
+        """验证 dedup_helpers.create_video_record_and_dedup 的导入和签名。"""
+        # 只验证函数存在且签名正确（不实际调用，需要数据库）
+        import inspect
+
+        from video_processing.dedup_helpers import create_video_record_and_dedup
+
+        sig = inspect.signature(create_video_record_and_dedup)
+        params = set(sig.parameters.keys())
+        expected = {
+            "generation_task_id",
+            "project_id",
+            "batch_id",
+            "file_url",
+            "file_size",
+            "duration",
+            "video_path",
+            "mode",
+            "session",
+            "width",
+            "height",
+            "fps",
+        }
+        assert expected.issubset(params), f"Missing params: {expected - params}"

tests/integration/test_generation_api.py

@@ -118,6 +118,18 @@ class StubGenerationTaskRepository:
     def count_by_user(self, user_id: str) -> int:
         return len([t for t in self._tasks.values() if t.created_by_user_id == user_id])
 
+    def count_pending_by_user(self, user_id: str) -> int:
+        return len(
+            [
+                t
+                for t in self._tasks.values()
+                if t.created_by_user_id == user_id and t.status == GenerationTaskStatus.PENDING
+            ]
+        )
+
+    def count_pending_total(self) -> int:
+        return len([t for t in self._tasks.values() if t.status == GenerationTaskStatus.PENDING])
+
     def list_recent_by_user(self, user_id: str, limit: int = 5) -> list[GenerationTask]:
         items = [t for t in self._tasks.values() if t.created_by_user_id == user_id]
         items.sort(key=lambda t: t.created_at, reverse=True)
@@ -241,7 +253,7 @@ def client():
 class TestCreateGenerationTask:
     """创建生成任务端点测试。"""
 
-    @patch("app.api.routes.generation_tasks.celery_app")
+    @patch("app.core.task_enqueue.celery_app")
     def test_create_task_success(self, mock_celery, client):
         """正常创建生成任务成功。"""
         mock_celery.send_task = MagicMock()
@@ -270,7 +282,7 @@ class TestCreateGenerationTask:
         assert mock_celery.send_task.called
         assert mock_celery.send_task.call_args[0][0] == "worker.generate_video"
 
-    @patch("app.api.routes.generation_tasks.celery_app")
+    @patch("app.core.task_enqueue.celery_app")
     def test_create_batch_tasks(self, mock_celery, client):
         """批量创建多个生成任务。"""
         mock_celery.send_task = MagicMock()
@@ -347,7 +359,7 @@ class TestListGenerationTasks:
 
     def _create_task(self, client, task_suffix: str = "1"):
         """辅助方法：创建一个生成任务。"""
-        with patch("app.api.routes.generation_tasks.celery_app") as mock_celery:
+        with patch("app.core.task_enqueue.celery_app") as mock_celery:
             mock_celery.send_task = MagicMock()
             resp = client.post(
                 "/api/v1/generation/tasks",
@@ -368,7 +380,7 @@ class TestListGenerationTasks:
         assert "items" in data
         assert data["items"] == []
 
-    @patch("app.api.routes.generation_tasks.celery_app")
+    @patch("app.core.task_enqueue.celery_app")
     def test_list_returns_user_tasks(self, mock_celery, client):
         """返回当前用户的生成任务列表。"""
         mock_celery.send_task = MagicMock()
@@ -406,7 +418,7 @@ class TestGetGenerationTask:
     """获取生成任务详情端点测试。"""
 
     def _create_task(self, client) -> str:
-        with patch("app.api.routes.generation_tasks.celery_app") as mock_celery:
+        with patch("app.core.task_enqueue.celery_app") as mock_celery:
             mock_celery.send_task = MagicMock()
             resp = client.post(
                 "/api/v1/generation/tasks",
@@ -449,7 +461,7 @@ class TestListGenerationResults:
     """列出生成结果端点测试。"""
 
     def _create_task(self, client) -> str:
-        with patch("app.api.routes.generation_tasks.celery_app") as mock_celery:
+        with patch("app.core.task_enqueue.celery_app") as mock_celery:
             mock_celery.send_task = MagicMock()
             resp = client.post(
                 "/api/v1/generation/tasks",
@@ -489,7 +501,7 @@ class TestRetryGenerationTask:
 
     def _create_failed_task(self, client) -> str:
         """创建一个失败状态的任务。"""
-        with patch("app.api.routes.generation_tasks.celery_app") as mock_celery:
+        with patch("app.core.task_enqueue.celery_app") as mock_celery:
             mock_celery.send_task = MagicMock()
             resp = client.post(
                 "/api/v1/generation/tasks",
@@ -509,7 +521,7 @@ class TestRetryGenerationTask:
         # 让我们直接通过 retry 测试来验证
         return task_id
 
-    @patch("app.api.routes.generation_tasks.celery_app")
+    @patch("app.core.task_enqueue.celery_app")
     def test_retry_failed_task(self, mock_celery, client):
         """重试失败的任务成功。"""
         mock_celery.send_task = MagicMock()
@@ -539,7 +551,7 @@ class TestRetryGenerationTask:
         assert resp.status_code == 404
         assert "not found" in resp.json()["detail"].lower()
 
-    @patch("app.api.routes.generation_tasks.celery_app")
+    @patch("app.core.task_enqueue.celery_app")
     def test_retry_completed_task_returns_409(self, mock_celery, client):
         """重试已完成的任务返回 409。"""
         mock_celery.send_task = MagicMock()
@@ -568,7 +580,7 @@ class TestRetryGenerationTask:
 class TestGenerationTaskFlow:
     """生成任务完整流程集成测试。"""
 
-    @patch("app.api.routes.generation_tasks.celery_app")
+    @patch("app.core.task_enqueue.celery_app")
     def test_create_list_detail_results_flow(self, mock_celery, client):
         """测试创建 → 列表 → 详情 → 结果 完整流程。"""
         mock_celery.send_task = MagicMock()

tests/integration/test_task_center_api.py

@@ -83,6 +83,18 @@ class StubGenerationTaskRepository:
     def count_by_user(self, user_id: str) -> int:
         return len([t for t in self._tasks.values() if t.created_by_user_id == user_id])
 
+    def count_pending_by_user(self, user_id: str) -> int:
+        return len(
+            [
+                t
+                for t in self._tasks.values()
+                if t.created_by_user_id == user_id and t.status == GenerationTaskStatus.PENDING
+            ]
+        )
+
+    def count_pending_total(self) -> int:
+        return len([t for t in self._tasks.values() if t.status == GenerationTaskStatus.PENDING])
+
     def list_recent_by_user(self, user_id: str, limit: int = 5) -> list[GenerationTask]:
         items = [t for t in self._tasks.values() if t.created_by_user_id == user_id]
         items.sort(key=lambda t: t.created_at, reverse=True)
@@ -428,7 +440,7 @@ class TestRetryProjectTask:
         assert resp.status_code == 400
         assert "Unsupported" in resp.json()["detail"]
 
-    @patch("app.api.routes.task_center.celery_app")
+    @patch("app.core.task_enqueue.celery_app")
     def test_retry_failed_generation_task(self, mock_celery, client):
         """重试失败的 generation 任务成功。"""
         mock_celery.send_task = MagicMock()
@@ -581,7 +593,7 @@ class TestRetryProjectTask:
 class TestTaskCenterCrossEndpoint:
     """任务中心跨端点集成测试。"""
 
-    @patch("app.api.routes.task_center.celery_app")
+    @patch("app.core.task_enqueue.celery_app")
     def test_list_then_retry_then_list(self, mock_celery, client):
         """列出任务 → 重试失败任务 → 再列出验证新任务。"""
         mock_celery.send_task = MagicMock()

tests/integration/test_voice_clone_api.py

@@ -32,7 +32,11 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "..", "apps", "
 
 from app.api.routes.voice_clones import router
 from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_cosyvoice_service, get_voice_clone_profile_repository
+from app.dependencies import (
+    get_audio_url_signer,
+    get_cosyvoice_service,
+    get_voice_clone_profile_repository,
+)
 
 from packages.domain.entities import User
 from packages.domain.voice_clone_profile import (
@@ -226,7 +230,7 @@ def clone_repo():
 
 @pytest.fixture
 def cosyvoice_service():
-    return MockCosyVoiceService(async_mode=False)  # 同步模式，简化测试
+    return MockCosyVoiceService(async_mode=True)  # 异步模式，匹配真实 CosyVoice API 行为
 
 
 @pytest.fixture
@@ -241,6 +245,7 @@ def client(clone_repo, cosyvoice_service):
     test_app.dependency_overrides[get_current_user] = _override_current_user
     test_app.dependency_overrides[get_voice_clone_profile_repository] = lambda: clone_repo
     test_app.dependency_overrides[get_cosyvoice_service] = lambda: cosyvoice_service
+    test_app.dependency_overrides[get_audio_url_signer] = lambda: (lambda url: url)
 
     yield TestClient(test_app)
 
@@ -256,7 +261,7 @@ class TestCreateVoiceClone:
     """创建声音克隆端点测试。"""
 
     def test_create_with_source_audio(self, client, cosyvoice_service):
-        """提供源音频时创建克隆，同步模式下直接 ready。"""
+        """提供源音频时创建克隆，异步提交后状态为 processing。"""
         resp = client.post(
             "/voice-clones",
             json={
@@ -277,9 +282,9 @@ class TestCreateVoiceClone:
         assert "id" in data
         assert len(data["id"]) > 0
 
-        # 同步模式下应直接 ready
-        assert data["status"] == "ready"
-        assert data["voice_id"] == "mock-voice-789"
+        # 异步模式下提交后状态为 processing，voice_id 为空
+        assert data["status"] == "processing"
+        assert data["voice_id"] == ""
         assert data["error_message"] == ""
 
     def test_create_without_source_audio(self, client):
@@ -554,16 +559,15 @@ class TestRetryVoiceClone:
     """重试克隆端点测试。"""
 
     def test_retry_failed_clone(self, client, clone_repo, cosyvoice_service):
-        """重试失败的克隆应成功。"""
-        cosyvoice_service.async_mode = False
+        """重试失败的克隆，重新提交后期望 processing。"""
         p = _make_clone_profile("重试测试", status=VoiceCloneStatus.FAILED)
         clone_repo.create(p)
 
         resp = client.post(f"/voice-clones/{p.id}/retry")
         assert resp.status_code == 200
         data = resp.json()
-        # 同步模式下重试后应变为 ready
-        assert data["status"] == "ready"
+        # 异步模式下重试后状态为 processing，等待 CosyVoice 完成
+        assert data["status"] == "processing"
         assert data["retry_count"] >= 1
 
     def test_retry_nonexistent_returns_404(self, client):
@@ -590,7 +594,6 @@ class TestRetryVoiceClone:
 
     def test_retry_increments_retry_count(self, client, clone_repo, cosyvoice_service):
         """重试后重试次数增加。"""
-        cosyvoice_service.async_mode = False
         p = _make_clone_profile("重试计数", status=VoiceCloneStatus.FAILED)
         clone_repo.create(p)
 
@@ -680,7 +683,7 @@ class TestVoiceCloneLifecycle:
         # 4. 状态
         status_resp = client.get(f"/voice-clones/{clone_id}/status")
         assert status_resp.status_code == 200
-        assert status_resp.json()["status"] == "ready"
+        assert status_resp.json()["status"] == "processing"
 
         # 5. 删除
         del_resp = client.delete(f"/voice-clones/{clone_id}")
@@ -691,7 +694,7 @@ class TestVoiceCloneLifecycle:
         assert list_resp2.json()["total"] == 0
 
     def test_failed_retry_flow(self, client, clone_repo, cosyvoice_service):
-        """失败 → 重试 → 成功 流程。"""
+        """失败 → 重试 → processing（等待异步完成） 流程。"""
         # 创建一个失败的克隆
         p = _make_clone_profile("失败重试", status=VoiceCloneStatus.FAILED)
         clone_repo.create(p)
@@ -701,15 +704,13 @@ class TestVoiceCloneLifecycle:
         assert status_resp.json()["status"] == "failed"
 
         # 重试
-        cosyvoice_service.async_mode = False
         retry_resp = client.post(f"/voice-clones/{p.id}/retry")
         assert retry_resp.status_code == 200
-        assert retry_resp.json()["status"] == "ready"
+        assert retry_resp.json()["status"] == "processing"
 
         # 再次确认状态
         status_resp2 = client.get(f"/voice-clones/{p.id}/status")
-        assert status_resp2.json()["status"] == "ready"
-        assert status_resp2.json()["voice_id"] != ""
+        assert status_resp2.json()["status"] == "processing"
 
 
 if __name__ == "__main__":

tests/render_compare/README.md

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

tests/render_compare/__init__.py

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

tests/render_compare/audio_diff.py

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

tests/render_compare/runner.py

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

tests/render_compare/scenarios.py

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

tests/render_compare/video_diff.py

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

tests/unit/test_asset_status_enum.py

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

tests/unit/test_audio_url_presign.py

@@ -0,0 +1,93 @@
+"""测试音频URL预签名逻辑。
+
+验证所有 API 返回的音频 URL 都会经过 OSS 预签名（24小时有效期），
+确保私有 bucket 下的音频文件前端可正常访问。
+"""
+
+from __future__ import annotations
+
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+
+class TestAudioUrlSigner:
+    """测试音频URL签名函数的行为。"""
+
+    def _make_signer(self, mock_storage):
+        """构造一个签名函数（模拟 get_audio_url_signer 的逻辑）。"""
+
+        def sign_audio_url(url: str) -> str:
+            if not url:
+                return url
+            return mock_storage.get_download_url(url, expires_seconds=86400)
+
+        return sign_audio_url
+
+    def test_empty_url_returns_empty(self):
+        """空URL直接返回，不调用签名。"""
+        mock_storage = MagicMock()
+        signer = self._make_signer(mock_storage)
+
+        result = signer("")
+        assert result == ""
+        mock_storage.get_download_url.assert_not_called()
+
+    def test_none_url_returns_none(self):
+        """None URL直接返回（有些字段可能为None）。"""
+        mock_storage = MagicMock()
+        signer = self._make_signer(mock_storage)
+
+        result = signer(None)  # type: ignore
+        assert result is None
+        mock_storage.get_download_url.assert_not_called()
+
+    def test_valid_url_gets_signed_24h(self):
+        """有效URL会调用 storage.get_download_url，有效期24小时（86400秒）。"""
+        mock_storage = MagicMock()
+        mock_storage.get_download_url.return_value = (
+            "https://bucket.oss-cn-hangzhou.aliyuncs.com/audio/test.mp3?signature=xxx"
+        )
+        signer = self._make_signer(mock_storage)
+
+        result = signer("https://bucket.oss-cn-hangzhou.aliyuncs.com/audio/test.mp3")
+
+        assert "signature=xxx" in result
+        mock_storage.get_download_url.assert_called_once_with(
+            "https://bucket.oss-cn-hangzhou.aliyuncs.com/audio/test.mp3",
+            expires_seconds=86400,
+        )
+
+    def test_storage_key_format_also_works(self):
+        """纯 storage key 格式也能正常签名（storage内部会处理）。"""
+        mock_storage = MagicMock()
+        mock_storage.get_download_url.return_value = "https://signed-url/audio.mp3?sig=xxx"
+        signer = self._make_signer(mock_storage)
+
+        result = signer("audio/test.mp3")
+
+        assert result == "https://signed-url/audio.mp3?sig=xxx"
+        mock_storage.get_download_url.assert_called_once_with(
+            "audio/test.mp3",
+            expires_seconds=86400,
+        )
+
+    def test_signer_via_dependencies_module(self):
+        """通过 dependencies 模块获取 signer，验证集成正确。"""
+        from app.core.storage import OSSStorageService
+
+        mock_svc = MagicMock(spec=OSSStorageService)
+        mock_svc.get_download_url.return_value = "https://signed/a.mp3?sig=123"
+
+        # 替换全局单例
+        with patch("app.core.storage._storage_service", mock_svc):
+            from app.dependencies import get_audio_url_signer
+
+            signer = get_audio_url_signer()
+            result = signer("test/audio.mp3")
+
+            assert result == "https://signed/a.mp3?sig=123"
+            mock_svc.get_download_url.assert_called_once_with(
+                "test/audio.mp3",
+                expires_seconds=86400,
+            )

tests/unit/test_classification_status_enum.py

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

tests/unit/test_config_schemas_and_ai_endpoints.py

@@ -105,11 +105,19 @@ class TestNormalizePlanConfig:
 
 
 class TestNormalizeTemplateConfig:
-    def test_same_as_plan_config(self):
+    def test_same_as_plan_config_plus_template_fields(self):
+        """template config 包含 plan config 的所有字段，外加 transition_enabled"""
         from packages.domain.config_schemas import normalize_plan_config, normalize_template_config
 
         raw = {"title": {"text": "模板标题"}}
-        assert normalize_template_config(raw) == normalize_plan_config(raw)
+        plan_cfg = normalize_plan_config(raw)
+        tpl_cfg = normalize_template_config(raw)
+        # plan config 的字段在 template config 中应一致
+        for key in plan_cfg:
+            assert tpl_cfg[key] == plan_cfg[key]
+        # template config 额外包含 transition_enabled
+        assert "transition_enabled" in tpl_cfg
+        assert tpl_cfg["transition_enabled"] is True
 
     def test_none_returns_defaults(self):
         from packages.domain.config_schemas import DEFAULT_EDIT_TEMPLATE_CONFIG, normalize_template_config

tests/unit/test_edit_plan_generation_api.py

@@ -177,6 +177,18 @@ class StubGenerationTaskRepository:
     def count_by_user(self, user_id: str) -> int:
         return len([t for t in self._store.values() if t.created_by_user_id == user_id])
 
+    def count_pending_by_user(self, user_id: str) -> int:
+        return len(
+            [
+                t
+                for t in self._store.values()
+                if t.created_by_user_id == user_id and getattr(t, "status", "") == "pending"
+            ]
+        )
+
+    def count_pending_total(self) -> int:
+        return len([t for t in self._store.values() if getattr(t, "status", "") == "pending"])
+
     def list_recent_by_user(self, user_id: str, limit: int = 5) -> list[Any]:
         items = [t for t in self._store.values() if t.created_by_user_id == user_id]
         items.sort(key=lambda t: t.created_at, reverse=True)

tests/unit/test_edit_plan_service.py

@@ -194,6 +194,12 @@ class StubGenerationTaskRepository:
         self._tasks[task.id] = task
         return task
 
+    def count_pending_by_user(self, user_id: str) -> int:
+        return 0
+
+    def count_pending_total(self) -> int:
+        return 0
+
 
 # ---------------------------------------------------------------------------
 # Service factory

tests/unit/test_edit_plan_worker_failure.py

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

tests/unit/test_edit_templates_api.py

@@ -407,6 +407,7 @@ class TestResponseSchema:
             "name",
             "description",
             "template_type",
+            "editing_mode",
             "config",
             "preview_url",
             "sort_weight",