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

chore: retrigger CI
refactor(generate): 拆分useStep5Voice模式选择逻辑到子Hook（184→165行, -10%）
2026-07-28 08:30:41 +00:00 · 2026-07-28 16:06:04 +08:00 · 2026-07-28 16:06:04 +08:00
976 changed files with 25802 additions and 141058 deletions
@@ -1 +0,0 @@
-CI re-trigger after runner add-host/DNS fix. This file is harmless and not referenced.
@@ -1,84 +0,0 @@
-name: API Base Image Build
-
-on:
-  push:
-    branches:
-      - develop
-      - main
-    paths:
-      - 'requirements-base.txt'
-      - 'requirements.txt'
-      - 'infra/docker/api-base.Dockerfile'
-  workflow_dispatch:
-
-jobs:
-  build-api-base:
-    name: Build API Base Image
-    runs-on: runtime-builder
-    timeout-minutes: 45
-    steps:
-    - name: Checkout code
-      shell: sh
-      env:
-        GITHUB_TOKEN: ${{ github.token }}
-      run: |
-        curl -sH "Authorization: token $GITHUB_TOKEN" \
-          "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" \
-          | bash
-
-    - name: Docker login to Registry
-      shell: sh
-      env:
-        ACR_USERNAME: ${{ secrets.ACR_USERNAME }}
-        ACR_PASSWORD: ${{ secrets.ACR_PASSWORD }}
-        GITEA_REGISTRY_USER: xiaoxia
-        GITEA_REGISTRY_TOKEN: ${{ secrets.REGISTRY_TOKEN }}
-      run: |
-        set -eu
-        for i in 1 2 3; do
-          echo "=== Docker login 尝试 $i/3 ==="
-          if printf '%s' "${ACR_PASSWORD}" | docker login xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com -u "${ACR_USERNAME}" --password-stdin \
-              && docker login git.xiaoxiajianji.com -u "${GITEA_REGISTRY_USER}" -p "${GITEA_REGISTRY_TOKEN}"; then
-            echo "✅ Docker login successful"
-            break
-          fi
-          echo "❌ Docker login 失败（尝试 $i/3），5s 后重试..."
-          sleep 5
-        done
-
-    - name: Build and push API base image
-      shell: sh
-      run: |
-        set -eu
-        ACR_IMAGE="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji/saas-api-base:latest"
-        GITEA_IMAGE="git.xiaoxiajianji.com/xiaoxia-saas/saas-api-base:latest"
-
-        echo "=== Building API base image ==="
-
-        # 使用普通 docker build（单平台不需要 buildx）
-        docker build \
-          -f infra/docker/api-base.Dockerfile \
-          -t "${ACR_IMAGE}" \
-          .
-
-        echo ""
-        echo "✅ Image built successfully"
-
-        # 推送到 ACR
-        echo "=== Pushing to ACR ==="
-        docker push "${ACR_IMAGE}"
-        echo "✅ Pushed to ACR"
-
-        # 打标签并推送到 Gitea Packages 作为备份
-        echo "=== Pushing to Gitea Packages ==="
-        docker tag "${ACR_IMAGE}" "${GITEA_IMAGE}"
-        docker push "${GITEA_IMAGE}" || echo "⚠️ Gitea Packages push failed (non-fatal)"
-        echo "✅ Gitea backup push completed"
-
-    - name: Cleanup
-      if: always()
-      shell: sh
-      run: |
-        ACR_IMAGE="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji/saas-api-base:latest"
-        docker rmi "${ACR_IMAGE}" 2>/dev/null || true
-        echo "Cleanup done"
@@ -1,105 +0,0 @@
-name: CI Base Image Build
-
-on:
-  push:
-    branches:
-      - develop
-      - main
-    paths:
-      - 'requirements-base.txt'
-      - 'requirements-dev.txt'
-      - 'infra/docker/ci.Dockerfile'
-  workflow_dispatch:
-    inputs:
-      reason:
-        description: "触发原因"
-        required: false
-        default: "手动触发 - ci-base 镜像重建"
-
-concurrency:
-  group: ci-base-image-build
-  cancel-in-progress: false
-
-jobs:
-  build-ci-base:
-    name: Build CI Base Image
-    runs-on: runtime-builder
-    timeout-minutes: 60
-    steps:
-    - name: Checkout code
-      shell: sh
-      env:
-        GITHUB_TOKEN: ${{ github.token }}
-      run: |
-        curl -sH "Authorization: token $GITHUB_TOKEN" \
-          "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" \
-          | bash
-
-    - name: Docker login to Gitea Registry
-      shell: sh
-      env:
-        GITEA_REGISTRY_USER: xiaoxia
-        GITEA_REGISTRY_TOKEN: ${{ secrets.REGISTRY_TOKEN }}
-      run: |
-        set -eu
-        for i in 1 2 3; do
-          echo "=== Docker login 尝试 $i/3 ==="
-          if docker login git.xiaoxiajianji.com -u "${GITEA_REGISTRY_USER}" -p "${GITEA_REGISTRY_TOKEN}"; then
-            echo "✅ Docker login successful"
-            break
-          fi
-          echo "❌ Docker login 失败（尝试 $i/3），5s 后重试..."
-          sleep 5
-        done
-
-    - name: Build and push CI base image
-      shell: sh
-      run: |
-        set -eu
-        IMAGE="git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas/ci-base"
-        VERSION_TAG="deps-$(date +%Y%m%d-%H%M)-${GITHUB_SHA::8}"
-
-        echo "=== Building CI base image (tags: latest, ${VERSION_TAG}) ==="
-        docker build --progress=plain \
-          -f infra/docker/ci.Dockerfile \
-          -t "${IMAGE}:latest" \
-          -t "${IMAGE}:${VERSION_TAG}" \
-          .
-        echo "✅ Image built successfully"
-
-        echo "=== Pushing ${VERSION_TAG} ==="
-        docker push "${IMAGE}:${VERSION_TAG}"
-        echo "=== Pushing latest ==="
-        docker push "${IMAGE}:latest"
-        echo "✅ Pushed to Gitea Registry"
-
-    - name: Verify image
-      shell: sh
-      run: |
-        set -eu
-        IMAGE="git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas/ci-base:latest"
-        echo "=== Verifying pinned deps in fresh image ==="
-        docker run --rm "${IMAGE}" /opt/xiaoxia-ci-venv/bin/python -c \
-          "import httpcore, h2, numpy, httpx; print('VERSIONS:', httpcore.__version__, h2.__version__, numpy.__version__, httpx.__version__)"
-
-    - name: Notify result
-      if: always()
-      continue-on-error: true
-      shell: sh
-      env:
-        CI_NOTIFY_WEBHOOK: ${{ secrets.CI_NOTIFY_WEBHOOK }}
-      run: |
-        set +e
-        if [ "${{ job.status }}" = "success" ]; then
-          NOTIFY_MODE=success JOB_NAME="CI Base Image Build" python3 scripts/ci_notify.py
-        else
-          NOTIFY_MODE=failure JOB_NAME="CI Base Image Build" python3 scripts/ci_notify.py
-        fi
-
-    - name: Cleanup
-      if: always()
-      shell: sh
-      run: |
-        IMAGE="git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas/ci-base"
-        docker rmi "${IMAGE}:latest" 2>/dev/null || true
-        echo "Cleanup done"
@@ -1,51 +0,0 @@
-name: CI Canary Check
-on:
-  schedule:
-    - cron: '*/30 * * * *'
-  workflow_dispatch:
-
-jobs:
-  canary:
-    runs-on: ci-l2
-    timeout-minutes: 10
-    steps:
-      - name: Canary (runner -> docker -> network -> gitea)
-        run: |
-          set -e
-          echo "== runner/container basic =="
-          date; hostname; whoami
-          echo "== gitea api reachability =="
-          code=$(curl -s -o /tmp/v.json -w '%{http_code}' -m 15 "$GITHUB_API_URL/version")
-          echo "gitea api http_code=$code"
-          [ "$code" = "200" ] || { echo "::error::Gitea API unreachable, http_code=$code"; exit 1; }
-          cat /tmp/v.json; echo
-          echo "== external egress =="
-          ext=$(curl -s -o /dev/null -w '%{http_code}' -m 15 https://www.baidu.com || echo 000)
-          echo "external http_code=$ext"
-          echo "== gitea domain resolves NOT to loopback =="
-          set -o pipefail
-          ip=$(getent hosts git.xiaoxiajianji.com | awk '{print $1}' | head -1)
-          echo "git.xiaoxiajianji.com -> $ip"
-          if [ -z "$ip" ]; then
-            echo "::error::DNS resolution failed, git.xiaoxiajianji.com unresolvable"; exit 1
-          fi
-          if [ "$ip" = "127.0.0.1" ] || [ "$ip" = "::1" ]; then
-            echo "::error::Gitea domain resolves to loopback inside job container (hosts/DNS leak)"; exit 1
-          fi
-          echo "CANARY OK"
-      - name: Notify failure
-        if: failure()
-        env:
-          CI_NOTIFY_WEBHOOK: ${{ secrets.CI_NOTIFY_WEBHOOK }}
-        run: |
-          set +e
-          if [ -n "$CI_NOTIFY_WEBHOOK" ]; then
-            MSG="🚨 CI 金丝雀失败：runner->docker->网络->Gitea 链路异常，时间 $(date '+%Y-%m-%d %H:%M:%S')，请立即检查构建服务器"
-            python3 - "$CI_NOTIFY_WEBHOOK" "$MSG" <<'PY'
-          import json,sys,urllib.request
-          hook,msg=sys.argv[1],sys.argv[2]
-          data=json.dumps({"msg_type":"text","content":{"text":msg}}).encode()
-          urllib.request.urlopen(urllib.request.Request(hook,data=data,headers={"Content-Type":"application/json"}),timeout=10)
-          PY
-          fi
-          exit 0
@@ -2,13 +2,13 @@ name: CI Trigger Monitor

 on:
  schedule:
-    - cron: '*/10 * * * *'  # 每10分钟检查一次（与pr-auto-scan同步降频）
+    - cron: '*/5 * * * *'  # 每5分钟检查一次
  workflow_dispatch:
    inputs:
      stale_threshold:
        description: 'CI未触发告警阈值（分钟）'
        required: false
-        default: '10'
+        default: '5'

 permissions:
  contents: read
@@ -87,7 +87,7 @@ jobs:
    runs-on: ci-l2
    timeout-minutes: 10
    outputs:
-      report: ${{ steps.report.outputs.report }}
+      report: ${{ steps.smoke.outputs.report }}

    steps:
      - name: Checkout code
@@ -201,7 +201,7 @@ jobs:
    runs-on: ci-l2
    timeout-minutes: 15
    outputs:
-      report: ${{ steps.e2e.outputs.report }}
+      report: ${{ steps.smoke.outputs.report }}

    steps:
      - name: Checkout code
@@ -1,59 +0,0 @@
-name: Playwright Base Image Build
-
-on:
-  workflow_dispatch:
-    inputs:
-      reason:
-        description: "触发原因"
-        required: false
-        default: "构建 playwright 基础镜像"
-
-jobs:
-  build-playwright:
-    name: Build Playwright Base Image
-    runs-on: runtime-builder
-    timeout-minutes: 30
-    steps:
-    - name: Docker login to Gitea Registry
-      shell: sh
-      env:
-        GITEA_REGISTRY_USER: xiaoxia
-        GITEA_REGISTRY_TOKEN: ${{ secrets.REGISTRY_TOKEN }}
-      run: |
-        set -eu
-        for i in 1 2 3; do
-          echo "=== Docker login attempt $i/3 ==="
-          if printf '%s' "${GITEA_REGISTRY_TOKEN}" | docker login git.xiaoxiajianji.com -u "${GITEA_REGISTRY_USER}" --password-stdin; then
-            echo "Docker login successful"
-            break
-          fi
-          echo "Docker login failed (attempt $i/3), retrying in 5s..."
-          sleep 5
-          [ $i -eq 3 ] && exit 1
-        done
-
-    - name: Pull, retag and push Playwright image
-      shell: sh
-      run: |
-        set -eu
-        OFFICIAL_IMAGE="mcr.microsoft.com/playwright:v1.45.0-jammy"
-        GITEA_IMAGE="git.xiaoxiajianji.com/xiaoxia/base/playwright:v1.45.0-jammy"
-
-        echo "=== Pulling official Playwright image ==="
-        docker pull "${OFFICIAL_IMAGE}"
-
-        echo "=== Tagging ==="
-        docker tag "${OFFICIAL_IMAGE}" "${GITEA_IMAGE}"
-
-        echo "=== Pushing to Gitea Registry ==="
-        docker push "${GITEA_IMAGE}"
-
-        echo "Done: ${GITEA_IMAGE}"
-
-    - name: Cleanup
-      if: always()
-      shell: sh
-      run: |
-        docker rmi "mcr.microsoft.com/playwright:v1.45.0-jammy" 2>/dev/null || true
-        docker rmi "git.xiaoxiajianji.com/xiaoxia/base/playwright:v1.45.0-jammy" 2>/dev/null || true
-        echo "Cleanup done"
@@ -3,7 +3,7 @@ name: PR Auto Scan
 # 作为短作业模式的兜底，防止事件驱动遗漏
 on:
  schedule:
-    # - cron: "*/15 * * * *"  # DISABLED: temporarily to stop failure spam (2026-09-02)  # 每10分钟扫描一次（脚本自带240s墙钟上限，降频减负）
+    - cron: "*/5 * * * *"  # 每5分钟扫描一次
  workflow_dispatch:

 permissions:
@@ -8,17 +8,12 @@ on:
 permissions:
  contents: read

-
-concurrency:
-  group: pr-automation-${{ gitea.event.pull_request.number }}
-  cancel-in-progress: true
-
 jobs:
  auto-approve:
    name: Auto Approve on CI Green
    runs-on: ci-check
    if: github.event_name == 'pull_request' && !github.event.pull_request.draft
-    timeout-minutes: 10  # 等待CI全绿+审批，需要充足时间
+    timeout-minutes: 3  # 长等待模式：等CI全绿后自动合并，不遗漏任何PR
    steps:
      - name: Checkout code
        shell: sh
@@ -61,8 +56,7 @@ jobs:
    name: Auto Merge on CI Green + Approved
    runs-on: ci-check
    if: github.event_name == 'pull_request' && !github.event.pull_request.draft && github.event.pull_request.base.ref == 'develop'
-    needs: [auto-approve]  # 修复竞态：必须等审批完成后再尝试合并
-    timeout-minutes: 15  # 等待审批+CI就绪+合并，需要充足时间
+    timeout-minutes: 45  # 长等待模式：等CI全绿后自动合并，不遗漏任何PR
    steps:
      - name: Checkout code
        shell: sh
@@ -120,7 +120,7 @@ jobs:
        PREVIEW_SSH_KEY: ${{ secrets.PREVIEW_SSH_KEY }}
      run: |
        set -eux
-        preview_host="${PREVIEW_SSH_HOST:-47.98.113.167}"
+        preview_host="${PREVIEW_SSH_HOST:-172.30.18.197}"
        preview_user="${PREVIEW_SSH_USER:-deploy}"
        preview_port="${PREVIEW_SSH_PORT:-22222}"
        preview_dir="/var/www/preview/pr-${PR_NUMBER}"
@@ -95,10 +95,13 @@ jobs:
        set -eu
        cd apps/web

+        # Config npm mirror for speed
+        npm config set registry https://registry.npmmirror.com
+
        # Install dependencies with retry
        for i in 1 2 3; do
-          npm ci --registry=https://registry.npmmirror.com --no-audit --no-fund && break
-          echo "npm install failed, retry $i/3..."
+          npm ci --no-audit --no-fund && break
+          echo "npm ci failed, retry $i/3..."
          [ $i -eq 3 ] && exit 1
          rm -rf node_modules
          sleep 5
@@ -106,12 +109,12 @@ jobs:

        # TypeScript check
        echo "=== TypeScript check ==="
-        ./node_modules/.bin/tsc --noEmit
+        npx --no-install tsc --noEmit

        # Vite build
        echo "=== Vite build ==="
        export VITE_API_URL=https://staging-api.xiaoxiajianji.com
-        ./node_modules/.bin/vite build
+        npx --no-install vite build

        echo "=== Build completed ==="
        ls -la dist/
@@ -7,25 +7,35 @@ on:
      - main
    paths:
      - 'requirements-base.txt'
-      - 'requirements.txt'
      - 'requirements-worker.txt'
-      - 'infra/docker/worker-base.Dockerfile'
-  workflow_dispatch:
+      - 'infra/docker/worker-base-builder.Dockerfile'
+      - 'infra/docker/worker-base-runtime.Dockerfile'
+  workflow_dispatch:  # 支持手动触发

 jobs:
  build-worker-base:
-    name: Build Worker Base Image
+    name: Build Worker Base Images
    runs-on: runtime-builder
-    timeout-minutes: 45
+    timeout-minutes: 30
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+        - name: builder
+          dockerfile: infra/docker/worker-base-builder.Dockerfile
+          image_name: worker-base-builder
+          cache_name: worker-base-builder-cache
+        - name: runtime
+          dockerfile: infra/docker/worker-base-runtime.Dockerfile
+          image_name: worker-base-runtime
+          cache_name: worker-base-runtime-cache
    steps:
    - name: Checkout code
      shell: sh
      env:
        GITHUB_TOKEN: ${{ github.token }}
      run: |
-        curl -sH "Authorization: token $GITHUB_TOKEN" \
-          "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" \
-          | bash
+        curl -sH "Authorization: token $GITHUB_TOKEN"           "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}"           | bash

    - name: Docker login to Registry
      shell: sh
@@ -38,8 +48,7 @@ jobs:
        set -eu
        for i in 1 2 3; do
          echo "=== Docker login 尝试 $i/3 ==="
-          if printf '%s' "${ACR_PASSWORD}" | docker login xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com -u "${ACR_USERNAME}" --password-stdin \
-              && docker login git.xiaoxiajianji.com -u "${GITEA_REGISTRY_USER}" -p "${GITEA_REGISTRY_TOKEN}"; then
+          if printf '%s' "${ACR_PASSWORD}" | docker login xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com -u "${ACR_USERNAME}" --password-stdin              && docker login git.xiaoxiajianji.com -u "${GITEA_REGISTRY_USER}" -p "${GITEA_REGISTRY_TOKEN}"; then
            echo "✅ Docker login successful"
            break
          fi
@@ -47,40 +56,48 @@ jobs:
          sleep 5
        done

-    - name: Build and push Worker base image
+    - name: Setup buildx builder
      shell: sh
      run: |
        set -eu
-        ACR_IMAGE="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji/saas-worker-base:latest"
-        GITEA_IMAGE="git.xiaoxiajianji.com/xiaoxia-saas/saas-worker-base:latest"
-
-        echo "=== Building Worker base image ==="
-
-        # 使用普通 docker build（单平台不需要 buildx）
-        docker build \
-          -f infra/docker/worker-base.Dockerfile \
-          -t "${ACR_IMAGE}" \
-          .
+        BUILDER_NAME="ci-builder-${GITHUB_RUN_ID}-${{ matrix.name }}"
+        if ! docker buildx inspect "$BUILDER_NAME" > /dev/null 2>&1; then
+          docker buildx create --use --name "$BUILDER_NAME" --driver docker-container
+          echo "Created $BUILDER_NAME"
+        else
+          docker buildx use "$BUILDER_NAME"
+          echo "Using existing $BUILDER_NAME"
+        fi
+        docker buildx inspect --bootstrap

+    - name: Build and push base image
+      shell: sh
+      run: |
+        set -eu
+        REGISTRY="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji"
+        IMAGE_TAG="${REGISTRY}/${{ matrix.image_name }}:latest"
+        SAFE_REF_NAME=$(echo "${GITHUB_REF_NAME}" | tr '/' '-')
+        CACHE_REF="${REGISTRY}/${{ matrix.cache_name }}:${SAFE_REF_NAME}"
+        
+        echo "=== Building ${{ matrix.name }} base image ==="
+        echo "Image: ${IMAGE_TAG}"
+        echo "Cache: ${CACHE_REF}"
+        
+        # 用通用构建脚本
+        bash scripts/ci/docker_build_push.sh           ${{ matrix.dockerfile }}           "${IMAGE_TAG}"           "${CACHE_REF}"
+        
+        # 同时推送到 Gitea Packages 作为备份（可选）
+        GITEA_IMAGE="git.xiaoxiajianji.com/xiaoxia-saas/${{ matrix.image_name }}:latest"
+        docker tag "${IMAGE_TAG}" "${GITEA_IMAGE}"
+        docker push "${GITEA_IMAGE}" || echo "Gitea Packages push failed (non-fatal)"
+        
        echo ""
-        echo "✅ Image built successfully"
+        echo "✅ ${{ matrix.name }} base image built and pushed"

-        # 推送到 ACR
-        echo "=== Pushing to ACR ==="
-        docker push "${ACR_IMAGE}"
-        echo "✅ Pushed to ACR"
-
-        # 打标签并推送到 Gitea Packages 作为备份
-        echo "=== Pushing to Gitea Packages ==="
-        docker tag "${ACR_IMAGE}" "${GITEA_IMAGE}"
-        docker push "${GITEA_IMAGE}" || echo "⚠️ Gitea Packages push failed (non-fatal)"
-        echo "✅ Gitea backup push completed"
-
-    - name: Cleanup
+    - name: Cleanup buildx builder
      if: always()
      shell: sh
      run: |
-        ACR_IMAGE="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji/saas-worker-base:latest"
-        docker rmi "${ACR_IMAGE}" 2>/dev/null || true
-        docker image prune -f 2>/dev/null || true
-        echo "Cleanup done"
+        docker buildx rm "ci-builder-${GITHUB_RUN_ID}-${{ matrix.name }}" 2>/dev/null || true
+        docker buildx prune -f 2>/dev/null || true
+        echo "Builder cleanup done"
@@ -24,11 +24,6 @@ ruff_cache/
 .env.production
 .env.staging
 !.env.example
-# 配置模板不受忽略规则限制
-!deploy/configs/.env.staging
-!deploy/configs/.env.production
-# 渲染后的 env 文件包含真实密钥，绝不能提交
-.env.rendered

 # OS / editor
 .DS_Store
@@ -59,4 +54,3 @@ frontend-v21-ui-prototype-final.html
 !.vscode/settings.json
 .vscode/extensions.json
 .coverage
-.env.current
@@ -1,222 +0,0 @@
---
-AIGC:
-    Label: "1"
-    ContentProducer: 001191110102MACQD9K64018705
-    ProduceID: 15868733686388_0/project_7655981463858544923-files/docs/1197_preview_generation_proposal.md
-    ReservedCode1: ""
-    ContentPropagator: 001191110102MACQD9K64028705
-    PropagateID: 15868733686388#1785468313901
-    ReservedCode2: ""
---
-# #1197 预览生成接口方案评估
-
-## 背景
-
-智能剪辑「一键生成」流程中，第3步预览生成当前被跳过，直接进入下一步。需要实现真正的预览生成功能，让用户在正式生成前能看到效果预览。
-
-## 现状分析
-
-### 现有生成链路
-
-```
-API 触发生成 → GenerationTask入库 → Celery异步任务 → UnifiedRenderService渲染 → OSS上传 → 更新状态
-```
-
-**关键节点：**
-1. **API层**：`POST /generation-tasks` 或 `POST /templates/{id}/generate` 触发生成
-2. **任务调度**：Celery task `worker.generate_video`
-3. **渲染引擎**：`UnifiedRenderService`（统一渲染引擎，已接入9个效果层）
-4. **输出配置**：默认 720p (1280x720)，支持 `resolution` 字段自定义
-5. **产物存储**：`GeneratedVideo` 表记录，OSS 存储视频文件
-
-### 已有可复用能力
-
-| 能力 | 位置 | 是否可复用 |
-|------|------|-----------|
-| 任务创建与状态管理 | `GenerationTask` + `CreateGenerationTaskUseCase` | ✅ 是 |
-| 素材下载与预处理 | `_download_video_assets` / `_download_voice_asset` | ✅ 是 |
-| 统一渲染引擎 | `UnifiedRenderService` | ✅ 是 |
-| 分辨率配置 | `resolution` 字段已支持 | ✅ 是 |
-| 混音与后处理 | `_render_video` 内流程 | ✅ 是 |
-| OSS 上传与查重 | `_upload_and_dedup` | ✅ 是 |
-| 进度追踪 | `append_log` / `progress` 字段 | ✅ 是 |
-
-## 方案对比
-
-### 方案A：复用现有生成链路 + is_preview 标记（推荐）
-
-**思路**：在现有 GenerationTask 上加 `is_preview` 标记，预览生成走完整链路但参数降级。
-
-**改动点：**
-1. **数据模型**：`GenerationTask` 加 `is_preview: bool` 字段（默认 false）；`GeneratedVideo` 加 `is_preview: bool`
-2. **API 层**：生成接口加 `is_preview` 参数，预览任务不计入配额
-3. **渲染参数**：预览模式下自动调整
-   - 分辨率：480p (854x480)
-   - 时长：限制前 15 秒（或模板第一个片段）
-   - 码率：降低至 1.5Mbps（正式 4Mbps）
-   - 效果层：跳过高级转场/粒子特效等耗时效果
-4. **任务调度**：预览任务走低优先级队列（或复用现有队列，标记优先级）
-5. **前端对接**：预览生成结果带 `is_preview=true` 标记，前端展示"预览"标签
-
-**优点：**
- 代码复用率 90%+，改动最小
- 与正式生成逻辑一致，预览效果真实可信
- 进度查询、结果展示等功能直接复用
- 后续可平滑升级：预览满意后一键转正式生成
-
-**缺点：**
- 需要区分预览和正式任务，避免数据混淆
- 预览任务和正式任务竞争同一队列资源（可后续优化为独立队列）
-
-**开发量估算**：2-3 天
- 数据模型 + 迁移：0.5 天
- API 层改造：0.5 天
- 渲染参数降级：1 天
- 测试 + 联调：1 天
-
---
-
-### 方案B：新建独立预览接口 + 轻量渲染逻辑
-
-**思路**：新建独立的预览生成接口，使用简化的渲染逻辑（如只拼接素材+基础配音，跳过大部分效果）。
-
-**改动点：**
-1. 新增 `PreviewTask` 数据模型
-2. 新增 `POST /api/v1/preview/generate` 接口
-3. 新增独立的 Celery task `worker.generate_preview`
-4. 简化渲染流程：只做素材裁剪+拼接+配音，跳过转场/滤镜/字幕特效等
-
-**优点：**
- 完全隔离，不影响正式生成链路
- 可以做极致优化，预览生成速度快
- 数据模型清晰，不会混淆
-
-**缺点：**
- 代码重复率高，两套生成逻辑维护成本翻倍
- 预览效果与正式生成可能不一致（效果层差异）
- 前端需要对接两套接口
- 无法从预览升级为正式生成（需重新走完整流程）
-
-**开发量估算**：4-5 天
- 数据模型 + 接口：1 天
- 简化渲染逻辑：2 天
- 测试 + 联调：1-2 天
-
---
-
-### 方案C：图片预览（首帧/关键帧截图）
-
-**思路**：不生成视频，只生成几张关键帧的预览图片。
-
-**优点：**
- 生成速度极快（秒级）
- 资源消耗小
-
-**缺点：**
- 预览效果差，用户无法感知动态效果
- 无法验证配音、转场、节奏等时间维度的效果
- 用户体验不佳，不如"真预览"有说服力
-
-**开发量估算**：1-2 天
-
---
-
-## 推荐方案：方案A（复用现有生成链路）
-
-### 核心理由
-
-1. **效果保真**：预览和正式生成用同一套渲染引擎，效果一致，用户信任度高
-2. **开发效率**：90% 代码复用，2-3 天可上线
-3. **可扩展性强**：后续可加「预览转正式」「低分辨率快速预览」等增强功能
-4. **维护成本低**：一套生成逻辑，bug 修复和新功能同时生效
-
-### 详细设计
-
-#### 1. 数据模型变更
-
-```python
-# GenerationTask 新增字段
-is_preview: bool = False
-"""是否为预览生成"""
-
-preview_of: str = ""
-"""预览对应的正式任务 ID（或反向关联）"""
-
-# GeneratedVideo 新增字段
-is_preview: bool = False
-"""是否为预览视频"""
-```
-
-**迁移**：alembic 新增 migration，两个表各加 1-2 个字段。
-
-#### 2. API 层
-
-```
-POST /api/v1/generation-tasks
-  Body 增加 is_preview: bool = false
-  
-POST /api/v1/templates/{id}/generate
-  Query 增加 is_preview: bool = false
-```
-
-**配额处理**：预览生成不计入用户配额，不占用生成次数限制。
-
-#### 3. 渲染参数降级
-
-| 参数 | 正式生成 | 预览生成 |
-|------|---------|---------|
-| 分辨率 | 720p (1280x720) | 480p (854x480) |
-| 码率 | 4 Mbps | 1.5 Mbps |
-| 时长 | 完整时长 | 前 15 秒（或第一段） |
-| 帧率 | 30 fps | 24 fps |
-| 转场效果 | 完整转场 | 仅淡入淡出（或简单切） |
-| 特效滤镜 | 全部启用 | 跳过粒子/光效等高级效果 |
-| 字幕 | 完整渲染 | 正常渲染（字幕是核心信息） |
-| 配音 | 完整混音 | 正常混音（配音是核心信息） |
-
-**实现方式**：在 `_render_video` 或 UnifiedRenderService 入口处，根据 `is_preview` 标记调整渲染配置。
-
-#### 4. 任务调度
-
- 初期复用现有队列，预览任务正常排队
- 后续如需优化，可拆分独立预览队列（低优先级）
- 预览任务可设置较短超时时间
-
-#### 5. 前端对接
-
- 调用生成接口时传 `is_preview=true`
- 结果列表中预览视频带「预览」标签
- 预览满意后可一键「升级为正式生成」（重新触发全分辨率生成，可复用素材下载缓存）
-
-### 实施步骤
-
-**Phase 1（MVP，2天）：**
-1. 数据模型 + 迁移
-2. API 层支持 is_preview 参数
-3. 渲染分辨率降级（480p）
-4. 不计入配额
-5. 基础测试
-
-**Phase 2（优化，1-2天）：**
-1. 时长限制（前15秒）
-2. 效果层降级（跳高级效果）
-3. 预览任务低优先级队列
-4. 预览转正式生成功能
-
-## 与前端对齐点
-
-1. 预览生成的触发时机（第3步自动生成？用户点击才生成？）
-2. 预览时长是固定15秒还是完整但低清？
-3. 是否需要「预览转正式生成」功能
-4. 预览视频的展示形态（和正式视频一样还是有特殊UI）
-
-## 风险与注意事项
-
-1. **数据混淆**：确保统计、计费、列表展示时正确区分预览和正式任务
-2. **存储成本**：预览视频也占 OSS 空间，可设置自动清理（7天后自动删除）
-3. **用户预期**：要明确告诉用户这是预览，效果和正式生成一致但清晰度低
-4. **并发压力**：如果用户频繁生成预览，可能增加系统负载，需要限流
-
---
-
-> 本内容由 Coze AI 生成，请遵循相关法律法规及《人工智能生成合成内容标识办法》使用与传播。
@@ -1,382 +0,0 @@
-# #1197 预览生成接口技术方案（v2）
-
-> 更新说明：v2 新增「多版本预览生成」能力，支持一个模板生成多个不重复的预览视频，左侧列表展示，用户可挑选满意的版本转正式生成。
-
-## 1. 背景与目标
-
-**现状**：智能剪辑「一键生成」第3步预览生成被跳过，用户直接进入正式生成，缺少效果预览环节。
-
-**目标**：
-1. ✅ 实现真正的预览生成（低分辨率快速出片）
-2. ✅ **支持生成 1~N 个不重复的预览版本**（默认 3 个），左侧列表展示
-3. ✅ 预览满意后可一键转正式生成（复用素材下载缓存）
-4. ✅ 不计入用户配额，不占用正式生成次数
-
---
-
-## 2. 现有生成链路分析
-
-### 2.1 链路总览
-
-```
-API 触发生成 → GenerationTask入库 → Celery异步任务
-  → 下载素材 → 构建plan/clips → UnifiedRenderService渲染
-  → 混音后处理 → OSS上传 + 查重 → 更新状态
-```
-
-### 2.2 决定视频差异的变量
-
-要做"多个不重复版本"，先分析哪些环节可以引入变化：
-
-| 变量 | 当前行为 | 能否引入变化 | 影响程度 |
-|------|---------|------------|---------|
-| 素材选择 | 按 asset_ids 顺序全用 | ✅ 可随机选择子集/不同组合 | 大 |
-| 素材排序 | 按 asset_ids 顺序 | ✅ 可 shuffle 重排 | 大 |
-| 配音选择 | 固定 voice_library_id | ✅ 可选不同音色 | 中 |
-| 标题选择 | 固定 title_ids 或随机选 | ✅ 可选不同标题 | 中 |
-| BGM | 固定 bgm_config | ✅ 可选不同BGM | 小 |
-| 转场效果 | 模板固定 | ✅ 可随机化转场类型 | 小 |
-| 播放速度 | 模板固定 | ✅ 可微调速度 | 小 |
-| 分辨率/码率 | 固定 | ✅ 预览可降级 | 不影响内容 |
-
-### 2.3 可复用能力
-
- 任务创建与状态管理：`GenerationTask` + `CreateGenerationTaskUseCase`
- 素材下载与预处理：`_download_all_assets`
- 统一渲染引擎：`UnifiedRenderService`
- 分辨率配置：`resolution` 字段已支持
- 批量任务：`batch_id` 字段已存在（可用于预览组）
-
---
-
-## 3. 总体方案：复用现有链路 + 多变体引擎
-
-**核心思路**：沿用 v1 的"复用现有生成链路 + is_preview 标记"方案，在此基础上增加「多版本生成」能力。
-
-**架构**：
-```
-预览生成请求（count=N）
-    ↓
-创建预览批次（preview_batch）
-    ↓
-变体引擎生成 N 个变体参数（variation seed + 参数组合）
-    ↓
-为每个变体创建 1 个 GenerationTask（is_preview=true）
-    ↓
-N 个 Celery 任务并行执行（走现有生成链路，参数降级）
-    ↓
-N 个结果汇聚，前端左侧列表展示
-```
-
---
-
-## 4. 详细设计
-
-### 4.1 数据模型变更
-
-#### 4.1.1 GenerationTask 新增字段
-
-```python
-# 现有字段保留，新增：
-is_preview: bool = False
-"""是否为预览生成"""
-
-preview_batch_id: str = ""
-"""预览批次 ID（同批次的 N 个预览共享一个 batch）"""
-
-variant_seed: int = 0
-"""变体种子，用于控制随机化行为（素材选择、排序、转场等）"""
-
-variant_params: dict = field(default_factory=dict)
-"""变体参数快照（记录本次使用了哪些素材、标题、配音等，可追溯）
-   {
-     "asset_ids": [...],      # 实际选用的素材子集
-     "title_id": "",         # 选用的标题
-     "voice_id": "",         # 选用的配音
-     "transition_style": "", # 转场风格
-     "bgm_track": "",        # BGM 音轨
-   }
-"""
-```
-
-#### 4.1.2 GeneratedVideo 新增字段
-
-```python
-is_preview: bool = False
-"""是否为预览视频"""
-
-preview_batch_id: str = ""
-"""所属预览批次"""
-
-variant_index: int = 0
-"""在批次中的序号（0, 1, 2...）"""
-```
-
-#### 4.1.3 迁移方案
-
-alembic 新增 migration，两个表各加 4 个字段，默认值为空/false，无数据回填成本。
-
---
-
-### 4.2 变体引擎（Variant Engine）
-
-**核心组件**：根据 count 和 seed，生成 N 组互不相同的生成参数。
-
-#### 4.2.1 变纬度设计
-
-| 维度 | 策略 | 说明 |
-|------|------|------|
-| **素材子集选择** | 从素材池中随机选 M 个（M=min(素材数, 模板clip数*2)） | 版本差异最大的来源 |
-| **素材排序** | 随机打乱顺序 | 影响叙事节奏 |
-| **标题选择** | 从 title_ids 中随机选 1 个 | 影响文案内容 |
-| **配音选择** | 从 voice_ids 中随机选 1 个（如有多个） | 影响听觉体验 |
-| **转场风格** | 从预设转场池中随机选 1 种 | 影响视觉过渡 |
-| **BGM 选择** | 从 bgm 列表中随机选 1 首（如有配置） | 影响氛围 |
-
-#### 4.2.2 去重机制
-
- 同一批次内，变体参数必须两两不同（至少素材组合或排序不同）
- 使用 `variant_seed` 保证可复现（相同 seed → 相同变体）
- 如果素材数量不足导致无法生成 N 个不同版本，按实际能生成的数量返回
-
-#### 4.2.3 接口设计
-
-```python
-def generate_variants(
-    count: int,
-    seed: int,
-    asset_pool: list[str],        # 可用素材 ID 列表
-    title_pool: list[str] = [],    # 可用标题 ID 列表
-    voice_pool: list[str] = [],    # 可用配音 ID 列表
-    template_id: str = "",
-) -> list[dict]:
-    """
-    生成 count 组变体参数。
-    
-    每组参数包含：asset_ids（选用的素材+排序）、title_id、voice_id、
-    transition_style 等，确保两两不同。
-    """
-```
-
---
-
-### 4.3 API 层设计
-
-#### 4.3.1 预览生成接口
-
-```
-POST /api/v1/templates/{template_id}/generate-preview
-```
-
-**请求体**：
-```json
-{
-  "asset_library_id": "lib_xxx",
-  "asset_ids": ["asset_1", "asset_2", ...],
-  "title_ids": ["title_1", "title_2"],
-  "voice_ids": ["voice_1", "voice_2"],
-  "bgm_config": {},
-  "count": 3,
-  "seed": 0
-}
-```
-
-| 参数 | 类型 | 必填 | 默认 | 说明 |
-|------|------|------|------|------|
-| template_id | path | ✅ | - | 模板 ID |
-| asset_library_id | body | ✅ | - | 素材库 ID |
-| asset_ids | body | ✅ | - | 素材池（从中选子集/排序） |
-| title_ids | body | - | [] | 标题池（可选，不传则不用标题） |
-| voice_ids | body | - | [] | 配音池（可选） |
-| bgm_config | body | - | {} | BGM 配置 |
-| count | body | - | 3 | 生成几个预览版本（1~10） |
-| seed | body | - | 0 | 随机种子，0 表示随机 |
-
-**响应**：
-```json
-{
-  "preview_batch_id": "pb_xxx",
-  "count": 3,
-  "tasks": [
-    {
-      "task_id": "gen_xxx_0",
-      "variant_index": 0,
-      "status": "processing"
-    },
-    {
-      "task_id": "gen_xxx_1",
-      "variant_index": 1,
-      "status": "processing"
-    },
-    ...
-  ]
-}
-```
-
-#### 4.3.2 预览批次查询接口
-
-```
-GET /api/v1/preview-batches/{batch_id}
-```
-
-返回批次内所有预览任务的状态、结果（已完成的带 video_url）。
-
-**响应**：
-```json
-{
-  "preview_batch_id": "pb_xxx",
-  "count": 3,
-  "completed_count": 2,
-  "tasks": [
-    {
-      "task_id": "gen_xxx_0",
-      "variant_index": 0,
-      "status": "completed",
-      "video_url": "https://oss.xxx/preview/xxx.mp4",
-      "duration": 15.5,
-      "thumbnail_url": "https://oss.xxx/preview/xxx.jpg"
-    },
-    ...
-  ]
-}
-```
-
-#### 4.3.3 预览转正式生成
-
-```
-POST /api/v1/preview-batches/{batch_id}/tasks/{task_id}/promote
-```
-
-将某个预览版本升级为正式生成（复用素材缓存，重新全分辨率渲染）。
-
---
-
-### 4.4 渲染参数降级
-
-预览模式下自动调整以下参数：
-
-| 参数 | 正式生成 | 预览生成 |
-|------|---------|---------|
-| 分辨率 | 720p (1280x720) | 480p (854x480) |
-| 码率 | 4 Mbps | 1.5 Mbps |
-| 帧率 | 30 fps | 24 fps |
-| 时长 | 完整时长 | 前 15 秒（或第一段完整clip） |
-| 转场效果 | 完整转场 | 仅淡入淡出 |
-| 高级特效 | 全部启用 | 跳过粒子/光效等 |
-| 字幕 | 完整渲染 | 正常渲染 |
-| 配音 | 完整混音 | 正常混音 |
-| 输出质量 | high | medium |
-
-**实现位置**：`_render_video` 函数入口处，根据 `is_preview` 标记调整渲染配置。
-
---
-
-### 4.5 任务调度
-
- **并行执行**：N 个预览任务并行提交到 Celery，不排队等待
- **低优先级**：预览任务走独立队列（`preview_queue`），不抢占正式生成资源
- **超时控制**：预览任务超时时间 5 分钟（正式 30 分钟）
- **自动清理**：预览视频 7 天后自动从 OSS 删除，任务记录标记为 archived
-
---
-
-## 5. 前端对接要点
-
-### 5.1 交互流程
-
-```
-第2步选素材 → 第3步点击"生成预览"
-  → 显示 loading + 进度
-  → 预览陆续完成，左侧列表逐张出现
-  → 用户点击左侧不同版本，右侧预览区切换
-  → 用户选中满意版本 → 点击"正式生成"
-```
-
-### 5.2 需要对齐的接口
-
-1. **预览创建**：`POST /templates/{id}/generate-preview`
-2. **批次状态轮询**：`GET /preview-batches/{id}`（建议 2s 轮询，或走 SSE）
-3. **预览转正式**：`POST /preview-batches/{id}/tasks/{task_id}/promote`
-
-### 5.3 数据格式对齐
-
-预览视频条目结构：
-```json
-{
-  "id": "gen_xxx",
-  "variant_index": 0,
-  "status": "completed",
-  "video_url": "https://...",
-  "duration": 15.5,
-  "file_size": 2850000,
-  "thumbnail_url": "https://...",
-  "is_preview": true
-}
-```
-
---
-
-## 6. 配额与计费
-
- 预览生成**不计入**用户配额
- 同一模板 + 同一素材池，每天最多生成 3 次多版本预览（防滥用）
- 单个预览批次最多 10 个版本
-
---
-
-## 7. 实施步骤
-
-### Phase 1：单版本预览（MVP，2 天）
-1. 数据模型 + 迁移（is_preview 字段）
-2. API 层支持 is_preview 参数
-3. 渲染分辨率降级（480p）
-4. 不计入配额
-5. 基础测试
-
-### Phase 2：多版本预览（3 天）
-1. 变体引擎实现（素材随机选择 + 排序 + 去重）
-2. preview_batch 批次管理
-3. 批量创建 N 个预览任务
-4. 批次查询接口
-5. 前端联调
-
-### Phase 3：预览转正式 + 优化（2 天）
-1. 预览转正式生成接口（promote）
-2. 素材下载缓存复用
-3. 独立预览队列（低优先级）
-4. 自动清理机制
-5. 完整测试 + 压测
-
---
-
-## 8. 风险与注意事项
-
-| 风险 | 影响 | 应对 |
-|------|------|------|
-| 并发预览任务过多打满 worker | 正式生成被阻塞 | 独立预览队列 + 限流 |
-| 变体生成的视频差异不够大 | 用户觉得"都一样" | 优先素材子集+排序差异，保证视觉差异 |
-| 预览视频占用 OSS 存储 | 存储成本上升 | 7 天自动清理 + 低码率 |
-| N 个版本同时下载重复素材 | 带宽浪费 | 批次内共享一次下载（Phase 3 优化） |
-| 用户预期管理 | 以为预览就是最终效果 | 明确标注"预览版"，说明分辨率差异 |
-
---
-
-## 9. 开发量估算
-
-| 阶段 | 后端 | 前端 | 合计 |
-|------|------|------|------|
-| Phase 1 单版本预览 | 2 天 | 1 天 | 3 天 |
-| Phase 2 多版本预览 | 3 天 | 2 天 | 5 天 |
-| Phase 3 转正式+优化 | 2 天 | 1 天 | 3 天 |
-| **总计** | **7 天** | **4 天** | **~7 天（并行）** |
-
---
-
-## 10. 与 v1 方案的差异总结
-
-1. **新增多版本能力**：从"生成1个预览"升级为"生成N个不重复预览"
-2. **新增变体引擎**：负责素材选择/排序/配音/标题的随机化
-3. **新增批次概念**：preview_batch 管理一组预览任务
-4. **新增 promote 接口**：预览转正式生成
-5. **独立队列**：预览不抢占正式生成资源
-6. **开发量**：从 2-3 天增加到约 7 天（后端）
@@ -1,61 +0,0 @@
-"""#1197 - 预览生成：generation_tasks 表新增 is_preview 字段
-
-Revision ID: 053
-Revises: 052
-Create Date: 2026-08-15
-
-Changes:
-1. generation_tasks 表新增 is_preview 字段，标记是否为预览生成任务（低清 480p）
-2. 默认 False，与现有正式生成任务兼容
-3. 加索引以支持按预览/正式任务筛选
-"""
-
-import sqlalchemy as sa
-
-from alembic import context, op
-
-revision = "053_generation_task_is_preview"
-down_revision = "052_generation_task_bgm_config"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    conn = op.get_bind()
-    if context.get_context().dialect.name == "postgresql":
-        # 检查列是否已存在（幂等）
-        result = conn.execute(
-            sa.text(
-                "SELECT column_name FROM information_schema.columns "
-                "WHERE table_name = 'generation_tasks' AND column_name = 'is_preview'"
-            )
-        )
-        if result.scalar() is not None:
-            return
-
-    op.add_column(
-        "generation_tasks",
-        sa.Column("is_preview", sa.Boolean, nullable=False, server_default=sa.text("false")),
-    )
-    # 加索引
-    op.create_index(
-        "ix_generation_tasks_is_preview",
-        "generation_tasks",
-        ["is_preview"],
-    )
-
-
-def downgrade() -> None:
-    conn = op.get_bind()
-    if context.get_context().dialect.name == "postgresql":
-        result = conn.execute(
-            sa.text(
-                "SELECT column_name FROM information_schema.columns "
-                "WHERE table_name = 'generation_tasks' AND column_name = 'is_preview'"
-            )
-        )
-        if result.scalar() is None:
-            return
-
-    op.drop_index("ix_generation_tasks_is_preview", table_name="generation_tasks")
-    op.drop_column("generation_tasks", "is_preview")
@@ -1,82 +0,0 @@
-"""确认生成 API 改造：为 generation_tasks 表添加 source_task_id、output_width、output_height、cover_url、custom_title 字段
-
-Revision ID: 054_confirm_gen_fields
-Revises: 053_generation_task_is_preview
-Create Date: 2026-08-16
-
-Changes:
-1. generation_tasks 表新增 source_task_id（来源预览任务 ID，带索引）
-2. generation_tasks 表新增 output_width / output_height（动态输出分辨率）
-3. generation_tasks 表新增 cover_url / custom_title（自定义封面和标题）
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "054_confirm_gen_fields"
-down_revision = "053_generation_task_is_preview"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    conn = op.get_bind()
-    is_pg = conn.dialect.name == "postgresql"
-
-    if is_pg:
-        # 幂等检查：source_task_id 列是否已存在
-        result = conn.execute(
-            sa.text(
-                "SELECT column_name FROM information_schema.columns "
-                "WHERE table_name = 'generation_tasks' AND column_name = 'source_task_id'"
-            )
-        )
-        if result.scalar() is not None:
-            return
-
-    # source_task_id
-    op.add_column(
-        "generation_tasks",
-        sa.Column("source_task_id", sa.String(32), nullable=False, server_default=""),
-    )
-
-    # output_width
-    op.add_column(
-        "generation_tasks",
-        sa.Column("output_width", sa.Integer, nullable=False, server_default=sa.text("1280")),
-    )
-
-    # output_height
-    op.add_column(
-        "generation_tasks",
-        sa.Column("output_height", sa.Integer, nullable=False, server_default=sa.text("720")),
-    )
-
-    # cover_url
-    op.add_column(
-        "generation_tasks",
-        sa.Column("cover_url", sa.String(1000), nullable=False, server_default=""),
-    )
-
-    # custom_title
-    op.add_column(
-        "generation_tasks",
-        sa.Column("custom_title", sa.String(500), nullable=False, server_default=""),
-    )
-
-    # 索引
-    op.create_index(
-        "ix_generation_tasks_source_task_id",
-        "generation_tasks",
-        ["source_task_id"],
-    )
-
-
-def downgrade() -> None:
-    op.drop_index("ix_generation_tasks_source_task_id", table_name="generation_tasks")
-    op.drop_column("generation_tasks", "custom_title")
-    op.drop_column("generation_tasks", "cover_url")
-    op.drop_column("generation_tasks", "output_height")
-    op.drop_column("generation_tasks", "output_width")
-    op.drop_column("generation_tasks", "source_task_id")
@@ -1,82 +0,0 @@
-"""封面模板表 cover_templates
-
-Revision ID: 055_cover_templates
-Revises: 054_confirm_gen_fields
-Create Date: 2026-08-09
-
-Changes:
-1. 新建 cover_templates 表，支持系统预置和用户自定义封面模板
-2. user_id 为 NULL 表示系统模板，is_system 标记区分
-3. config 为 JSON 字段，存储封面配置信息
-"""
-
-import sqlalchemy as sa
-
-from alembic import context, op
-
-revision = "055_cover_templates"
-down_revision = "054_confirm_gen_fields"
-branch_labels = None
-depends_on = None
-
-SYSTEM_TEMPLATES = [
-    ("a8b0120fd98e44788f5a6590f983d327", "默认模板", {}),
-    ("6d8c501b11424432b3df3a45ae89b1a9", "大胆红", {"background_color": "#ef4444"}),
-    ("04937fb57fea4bad95e7883e71a6b246", "优雅黑", {"background_color": "#111827"}),
-    ("3ff9cc821174437ca53931073e7f536e", "渐变蓝", {"background_color": "#3b82f6"}),
-    ("db51b3ea8f1a4f4caa94bf2d51f27d11", "渐变紫", {"background_color": "#8b5cf6"}),
-    ("5027d113432a4f798a3b4ee1644d66af", "暖橙", {"background_color": "#f97316"}),
-    ("0e10def2b5a148d686416494474726c2", "清新绿", {"background_color": "#22c55e"}),
-    ("38ea98ac00c04bada064006d880546f0", "科技蓝", {"background_color": "#06b6d4"}),
-]
-
-
-def upgrade() -> None:
-    conn = op.get_bind()
-    if context.get_context().dialect.name == "postgresql":
-        result = conn.execute(sa.text("SELECT to_regclass('public.cover_templates')"))
-        if result.scalar() is not None:
-            return
-
-    op.create_table(
-        "cover_templates",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column("user_id", sa.String(36), nullable=True, index=True),
-        sa.Column("name", sa.String(200), nullable=False),
-        sa.Column("thumbnail_url", sa.String(1000), nullable=False, server_default=""),
-        sa.Column("is_system", sa.Boolean, nullable=False, server_default=sa.false(), index=True),
-        sa.Column("config", sa.JSON, nullable=False, server_default="{}"),
-        sa.Column("created_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
-        sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
-    )
-
-    # 预置系统模板 seed 数据
-    cover_templates = sa.table(
-        "cover_templates",
-        sa.column("id", sa.String),
-        sa.column("user_id", sa.String),
-        sa.column("name", sa.String),
-        sa.column("thumbnail_url", sa.String),
-        sa.column("is_system", sa.Boolean),
-        sa.column("config", sa.JSON),
-        sa.column("created_at", sa.DateTime),
-        sa.column("updated_at", sa.DateTime),
-    )
-
-    for tid, name, config in SYSTEM_TEMPLATES:
-        conn.execute(
-            cover_templates.insert().values(
-                id=tid,
-                user_id=None,
-                name=name,
-                thumbnail_url="",
-                is_system=True,
-                config=config,
-                created_at=sa.func.now(),
-                updated_at=sa.func.now(),
-            )
-        )
-
-
-def downgrade() -> None:
-    op.drop_table("cover_templates")
@@ -1,39 +0,0 @@
-"""修复 cover_templates.config 双重序列化
-
-Revision ID: 056_fix_cover_templates_config
-Revises: 055_cover_templates
-Create Date: 2026-08-13
-
-问题: 055 迁移 seed 数据时 json.dumps(config) 导致 config 被双重序列化为 JSON 字符串
-例如 "{}"（字符串）而不是 {}（对象），导致 Pydantic CoverTemplateResponse 校验失败 500。
-
-修复: 从 JSON 字符串中提取文本值，再 cast 回 json 对象类型。
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "056_fix_cover_templates_config"
-down_revision = "055_cover_templates"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    conn = op.get_bind()
-
-    # PostgreSQL: 从 JSON string scalar 中提取文本内容，cast 为 json object
-    # 例如: JSON string "{}" -> text "{}" -> JSON object {}
-    if conn.dialect.name == "postgresql":
-        conn.execute(
-            sa.text(
-                "UPDATE cover_templates SET config = (config#>>'{}')::json "
-                "WHERE jsonb_typeof(config::jsonb) = 'string'"
-            )
-        )
-
-
-def downgrade() -> None:
-    # No safe rollback — the original data was incorrect
-    pass
@@ -1,26 +0,0 @@
-"""Add title_config to generation_tasks
-
-Revision ID: 057_title_config
-Revises: 056_fix_cover_templates_config
-Create Date: 2026-08-23
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "057_title_config"
-down_revision = "056_fix_cover_templates_config"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "generation_tasks",
-        sa.Column("title_config", sa.JSON(), nullable=False, server_default="{}"),
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("generation_tasks", "title_config")
@@ -1,49 +0,0 @@
-"""Add unique index on asset_libraries(project_id, kind)
-
-Revision ID: 058_uq_asset_lib_project_kind
-Revises: 057_title_config
-Create Date: 2026-08-30
-
-同一项目下同 kind 的素材库业务上唯一（前端 getOrCreate 语义、TTS 保存自动建库）。
-加唯一索引兜底并发创建竞态，避免重复素材库。
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "058_uq_asset_lib_project_kind"
-down_revision = "057_title_config"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # 建唯一索引前清洗历史重复：同 (project_id, kind) 只保留 created_at 最新的一条。
-    # project_id 为 NULL 的系统级行不参与去重（NULL 在唯一索引中互不冲突）。
-    op.execute("""
-        DELETE FROM asset_libraries
-        WHERE id IN (
-            SELECT id FROM (
-                SELECT id,
-                       ROW_NUMBER() OVER (
-                           PARTITION BY project_id, kind
-                           ORDER BY created_at DESC, id DESC
-                       ) AS rn
-                FROM asset_libraries
-                WHERE project_id IS NOT NULL
-            ) t
-            WHERE t.rn > 1
-        )
-        """)
-    # 与 model 的 UniqueConstraint 定义保持一致（pg_constraint + pg_index 同时注册），
-    # 避免 Alembic autogenerate 检测到 schema drift
-    op.create_unique_constraint(
-        "uq_asset_libraries_project_kind",
-        "asset_libraries",
-        ["project_id", "kind"],
-    )
-
-
-def downgrade() -> None:
-    op.drop_constraint("uq_asset_libraries_project_kind", "asset_libraries", type_="unique")
@@ -1,23 +0,0 @@
-"""add duplicate_rate to generated_videos
-
-Revision ID: 059_duplicate_rate
-Revises: 058_uq_asset_lib_project_kind
-Create Date: 2026-08-31
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "059_duplicate_rate"
-down_revision = "058_uq_asset_lib_project_kind"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column("generated_videos", sa.Column("duplicate_rate", sa.Float(), nullable=True))
-
-
-def downgrade() -> None:
-    op.drop_column("generated_videos", "duplicate_rate")
@@ -1,57 +0,0 @@
-"""migrate template_segments data to template_clip_configs
-
-Revision ID: 060_migrate_segments
-Revises: 059_duplicate_rate
-Create Date: 2026-08-31
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "060_migrate_segments"
-down_revision = "059_duplicate_rate"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    dialect = op.get_bind().dialect.name
-
-    if dialect == "postgresql":
-        config_expr = (
-            "CASE WHEN s.material_type IS NOT NULL AND s.material_type != '' "
-            "THEN json_build_object('material_type', s.material_type)::jsonb "
-            "ELSE '{}'::jsonb END"
-        )
-        empty_json = "'{}'::jsonb"
-    else:
-        config_expr = (
-            "CASE WHEN s.material_type IS NOT NULL AND s.material_type != '' "
-            "THEN JSON_OBJECT('material_type', s.material_type) "
-            "ELSE '{}' END"
-        )
-        empty_json = "'{}'"
-
-    sql_str = (
-        "INSERT INTO template_clip_configs "
-        '(id, template_id, clip_type, "order", min_duration, max_duration, '
-        "text_template, material_requirements, transition_effect, config, "
-        "created_at, updated_at) "
-        "SELECT "
-        "s.id, s.template_id, 'main', s.segment_order, "
-        "s.duration_min, s.duration_max, "
-        "'', " + empty_json + ", "
-        "'cut', " + config_expr + ", "
-        "s.created_at, s.updated_at "
-        "FROM template_segments s "
-        "WHERE NOT EXISTS ("
-        "  SELECT 1 FROM template_clip_configs c "
-        "  WHERE c.template_id = s.template_id"
-        ")"
-    )
-    op.execute(sa.text(sql_str))
-
-
-def downgrade() -> None:
-    pass
@@ -1,26 +0,0 @@
-"""add sort_order to template_categories
-
-Revision ID: 061_sort_order
-Revises: 060_migrate_segments
-Create Date: 2026-09-02
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "061_sort_order"
-down_revision = "060_migrate_segments"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "template_categories",
-        sa.Column("sort_order", sa.Integer, nullable=False, server_default="0"),
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("template_categories", "sort_order")
@@ -1,28 +0,0 @@
-"""re-add edit_plan_id to generation_tasks (align staging with production)
-
-Revision ID: 062_edit_plan_id
-Revises: 061_sort_order
-Create Date: 2026-09-02
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "062_edit_plan_id"
-down_revision = "061_sort_order"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "generation_tasks",
-        sa.Column("edit_plan_id", sa.String(36), nullable=True),
-    )
-    op.create_index("ix_generation_tasks_edit_plan_id_2", "generation_tasks", ["edit_plan_id"])
-
-
-def downgrade() -> None:
-    op.drop_index("ix_generation_tasks_edit_plan_id_2", table_name="generation_tasks")
-    op.drop_column("generation_tasks", "edit_plan_id")
@@ -1,46 +0,0 @@
-"""add video_fingerprint_chunks table for per-chunk fingerprint storage
-
-Revision ID: 063_fingerprint_chunks
-Revises: 062_edit_plan_id
-Create Date: 2026-09-03
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "063_fingerprint_chunks"
-down_revision = "062_edit_plan_id"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.create_table(
-        "video_fingerprint_chunks",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column("video_id", sa.String(36), nullable=False),
-        sa.Column("project_id", sa.String(36), nullable=False),
-        sa.Column("user_id", sa.String(36), nullable=False, server_default=""),
-        sa.Column("start_time_ms", sa.Integer, nullable=False),
-        sa.Column("end_time_ms", sa.Integer, nullable=False),
-        sa.Column("phash_binary", sa.String(16), nullable=False),
-        sa.Column("color_histogram", sa.JSON, nullable=False),
-        sa.Column("frame_count", sa.Integer, nullable=False, server_default="1"),
-        sa.Column(
-            "created_at",
-            sa.DateTime,
-            nullable=False,
-            server_default=sa.func.now(),
-        ),
-    )
-    op.create_index("ix_vfc_video_id", "video_fingerprint_chunks", ["video_id"])
-    op.create_index("ix_vfc_project_id", "video_fingerprint_chunks", ["project_id"])
-    op.create_index("ix_vfc_user_id", "video_fingerprint_chunks", ["user_id"])
-
-
-def downgrade() -> None:
-    op.drop_index("ix_vfc_user_id", table_name="video_fingerprint_chunks")
-    op.drop_index("ix_vfc_project_id", table_name="video_fingerprint_chunks")
-    op.drop_index("ix_vfc_video_id", table_name="video_fingerprint_chunks")
-    op.drop_table("video_fingerprint_chunks")
@@ -1,25 +0,0 @@
-"""add match_count and visual_similarity to generated_videos
-
-Revision ID: 064_match_count_visual_sim
-Revises: 063_fingerprint_chunks
-Create Date: 2026-09-03
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "064_match_count_visual_sim"
-down_revision = "063_fingerprint_chunks"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column("generated_videos", sa.Column("match_count", sa.Integer(), nullable=True, server_default="0"))
-    op.add_column("generated_videos", sa.Column("visual_similarity", sa.Float(), nullable=True, server_default="0.0"))
-
-
-def downgrade() -> None:
-    op.drop_column("generated_videos", "visual_similarity")
-    op.drop_column("generated_videos", "match_count")
@@ -1,25 +0,0 @@
-"""add visual_similarity and match_count to duplication_records
-
-Revision ID: 065_dup_record_sim_match
-Revises: 064_match_count_visual_sim
-Create Date: 2026-09-04
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "065_dup_record_sim_match"
-down_revision = "064_match_count_visual_sim"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column("duplication_records", sa.Column("visual_similarity", sa.Float(), nullable=True))
-    op.add_column("duplication_records", sa.Column("match_count", sa.Integer(), nullable=True))
-
-
-def downgrade() -> None:
-    op.drop_column("duplication_records", "match_count")
-    op.drop_column("duplication_records", "visual_similarity")
@@ -1,34 +0,0 @@
-"""add client_upload_id to assets and asset_id to ingest_jobs
-
-Issue #1714：上传 complete 幂等 + worker 转码回写关联。
- assets.client_upload_id：客户端幂等 token（complete 去重）
- ingest_jobs.asset_id：complete 阶段创建的占位 asset id（worker 回写关联，
-  防止 HEVC 转码改写 storage_key 后找不到占位而兜底新建 READY 记录）
-
-Revision ID: 066_upload_idempotency
-Revises: 065_dup_record_sim_match
-Create Date: 2026-09-05
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "066_upload_idempotency"
-down_revision = "065_dup_record_sim_match"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column("assets", sa.Column("client_upload_id", sa.String(64), nullable=True))
-    op.create_index("ix_assets_client_upload_id", "assets", ["client_upload_id"])
-    op.add_column("ingest_jobs", sa.Column("asset_id", sa.String(36), nullable=False, server_default=""))
-    op.create_index("ix_ingest_jobs_asset_id", "ingest_jobs", ["asset_id"])
-
-
-def downgrade() -> None:
-    op.drop_index("ix_ingest_jobs_asset_id", table_name="ingest_jobs")
-    op.drop_column("ingest_jobs", "asset_id")
-    op.drop_index("ix_assets_client_upload_id", table_name="assets")
-    op.drop_column("assets", "client_upload_id")
@@ -1,35 +0,0 @@
-"""add celery_task_id to generation_tasks and ingest_jobs
-
-Issue #1714：孤儿恢复/超时清理撤销队列消息。
- generation_tasks.celery_task_id：入队时记录的 Celery 消息 ID，清理时 revoke
- ingest_jobs.celery_task_id：同上（素材转码任务）
-
-Revision ID: 067_celery_task_id
-Revises: 066_upload_idempotency
-Create Date: 2026-09-05
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "067_celery_task_id"
-down_revision = "066_upload_idempotency"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "generation_tasks",
-        sa.Column("celery_task_id", sa.String(64), nullable=False, server_default=""),
-    )
-    op.add_column(
-        "ingest_jobs",
-        sa.Column("celery_task_id", sa.String(64), nullable=False, server_default=""),
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("ingest_jobs", "celery_task_id")
-    op.drop_column("generation_tasks", "celery_task_id")
@@ -1,26 +0,0 @@
-"""add profile_completed to users
-
-Issue #1718：微信新用户首次登录需设置昵称（PATCH /auth/me）。
- users.profile_completed：资料是否已完善；存量行默认 True（不触发引导），
-  微信新建用户在应用层置 False。
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "068_user_profile_completed"
-down_revision = "067_celery_task_id"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "users",
-        sa.Column("profile_completed", sa.Boolean(), nullable=False, server_default=sa.text("true")),
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("users", "profile_completed")
@@ -1,72 +0,0 @@
-"""Projects is_default + partial unique index for idempotent default project (Issue #1775)
-
-Revision ID: 069_project_is_default
-Revises: 068_user_profile_completed
-Create Date: 2026-09-08
-
-背景：
-小程序端 getOrCreateDefaultProject 在重试/并发/前端重复调用下，
-仅靠应用层"先查再插"不保证幂等，会给同一用户重复创建默认项目。
-
-改动：
-1. projects 表新增 is_default 布尔列（默认 false）
-2. 部分唯一索引 uq_projects_owner_default：(owner_user_id) WHERE is_default = true
-   —— 保证每个用户至多一个默认项目
-3. 存量数据回填：把名为"默认项目"的存量项目按创建时间最早者标记为 is_default=true
-   （只标记不删除；存量重复项目的清理另行确认后单独执行）
-
-注意：部分唯一索引依赖 PostgreSQL，不支持 downgrade 到其他方言。
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "069_project_is_default"
-down_revision = "068_user_profile_completed"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # 1. 新增 is_default 列
-    op.add_column(
-        "projects",
-        sa.Column(
-            "is_default",
-            sa.Boolean(),
-            nullable=False,
-            server_default=sa.text("false"),
-        ),
-    )
-
-    # 2. 存量回填：每个拥有"默认项目"的用户，只把最早创建的那一个标记为默认。
-    #    用 ROW_NUMBER() 取每组第一条；非"默认项目"命名的项目不标记（保守，不动用户自建项目）。
-    op.execute("""
-        UPDATE projects p
-        SET is_default = true
-        WHERE p.id IN (
-            SELECT id FROM (
-                SELECT id,
-                       ROW_NUMBER() OVER (
-                           PARTITION BY owner_user_id
-                           ORDER BY created_at ASC, id ASC
-                       ) AS rn
-                FROM projects
-                WHERE name = '默认项目'
-            ) t
-            WHERE t.rn = 1
-        )
-        """)
-
-    # 3. 部分唯一索引：每用户至多一个默认项目（只约束 is_default = true 的行）
-    op.execute("""
-        CREATE UNIQUE INDEX uq_projects_owner_default
-        ON projects (owner_user_id)
-        WHERE is_default = true
-        """)
-
-
-def downgrade() -> None:
-    op.execute("DROP INDEX IF EXISTS uq_projects_owner_default")
-    op.drop_column("projects", "is_default")
@@ -1,48 +0,0 @@
-"""Add scripts table for oral broadcast script library (Issue #1795)
-
-Revision ID: 070_add_scripts
-Revises: 069_project_is_default
-Create Date: 2026-09-08
-
-新建 scripts 表，支持口播文案 CRUD + 分段存储。
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "070_add_scripts"
-down_revision = "069_project_is_default"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.create_table(
-        "scripts",
-        sa.Column("id", sa.String(36), nullable=False),
-        sa.Column("user_id", sa.String(36), nullable=False),
-        sa.Column("title", sa.String(255), nullable=False),
-        sa.Column("content", sa.Text(), nullable=False, server_default=""),
-        sa.Column("segments", sa.JSON(), nullable=False, server_default="[]"),
-        sa.Column("tags", sa.JSON(), nullable=False, server_default="[]"),
-        sa.Column(
-            "created_at",
-            sa.DateTime(timezone=True),
-            nullable=False,
-            server_default=sa.func.now(),
-        ),
-        sa.Column(
-            "updated_at",
-            sa.DateTime(timezone=True),
-            nullable=False,
-            server_default=sa.func.now(),
-        ),
-        sa.PrimaryKeyConstraint("id"),
-    )
-    op.create_index("ix_scripts_user_id", "scripts", ["user_id"])
-
-
-def downgrade() -> None:
-    op.drop_index("ix_scripts_user_id", table_name="scripts")
-    op.drop_table("scripts")
@@ -1,47 +0,0 @@
-"""add lipsync jobs table
-
-Revision ID: 071_add_lipsync_jobs
-Revises: 070_add_scripts
-Create Date: 2026-09-08
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "071_add_lipsync_jobs"
-down_revision = "070_add_scripts"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.create_table(
-        "lipsync_jobs",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column("user_id", sa.String(36), nullable=False, index=True),
-        sa.Column("project_id", sa.String(36), nullable=False, server_default=""),
-        sa.Column("video_url", sa.Text(), nullable=False),
-        sa.Column("audio_url", sa.Text(), nullable=False),
-        sa.Column("enable_video_loop", sa.Boolean(), nullable=False, server_default=sa.text("false")),
-        sa.Column("mediakit_task_id", sa.String(200), nullable=False, server_default="", index=True),
-        sa.Column("status", sa.String(20), nullable=False, server_default="pending", index=True),
-        sa.Column("output_video_url", sa.Text(), nullable=False, server_default=""),
-        sa.Column("output_duration", sa.Float(), nullable=False, server_default=sa.text("0.0")),
-        sa.Column("error_message", sa.Text(), nullable=False, server_default=""),
-        sa.Column("error_code", sa.String(100), nullable=False, server_default=""),
-        sa.Column("submitted_at", sa.DateTime(), nullable=True),
-        sa.Column("completed_at", sa.DateTime(), nullable=True),
-        sa.Column("created_at", sa.DateTime(), nullable=False, server_default=sa.func.now()),
-        sa.Column("updated_at", sa.DateTime(), nullable=False, server_default=sa.func.now()),
-    )
-    # 复合索引：用户 + 状态（列表查询常用）
-    op.create_index("ix_lipsync_jobs_user_status", "lipsync_jobs", ["user_id", "status"])
-    # 项目 + 用户（项目维度查询）
-    op.create_index("ix_lipsync_jobs_project_user", "lipsync_jobs", ["project_id", "user_id"])
-
-
-def downgrade() -> None:
-    op.drop_index("ix_lipsync_jobs_project_user", table_name="lipsync_jobs")
-    op.drop_index("ix_lipsync_jobs_user_status", table_name="lipsync_jobs")
-    op.drop_table("lipsync_jobs")
@@ -1,48 +0,0 @@
-"""add ai avatar render jobs table
-
-Revision ID: 072_add_ai_avatar_render
-Revises: 071_add_lipsync_jobs
-Create Date: 2026-09-09
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "072_add_ai_avatar_render"
-down_revision = "071_add_lipsync_jobs"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.create_table(
-        "ai_avatar_render_jobs",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column("user_id", sa.String(36), nullable=False, index=True),
-        sa.Column("project_id", sa.String(36), nullable=False, server_default=""),
-        sa.Column("lipsync_job_id", sa.String(36), nullable=False),
-        sa.Column("script_id", sa.String(36), nullable=False),
-        sa.Column("b_roll_segments", sa.JSON(), nullable=False, server_default="[]"),
-        sa.Column("title_config", sa.JSON(), nullable=False, server_default="{}"),
-        sa.Column("cover_config", sa.JSON(), nullable=False, server_default="{}"),
-        sa.Column("status", sa.String(20), nullable=False, server_default="pending", index=True),
-        sa.Column("progress", sa.Integer(), nullable=False, server_default=sa.text("0")),
-        sa.Column("output_video_url", sa.Text(), nullable=False, server_default=""),
-        sa.Column("output_cover_url", sa.Text(), nullable=False, server_default=""),
-        sa.Column("output_duration", sa.Float(), nullable=False, server_default=sa.text("0.0")),
-        sa.Column("error_message", sa.Text(), nullable=False, server_default=""),
-        sa.Column("submitted_at", sa.DateTime(), nullable=True),
-        sa.Column("started_at", sa.DateTime(), nullable=True),
-        sa.Column("completed_at", sa.DateTime(), nullable=True),
-        sa.Column("created_at", sa.DateTime(), nullable=False, server_default=sa.func.now()),
-        sa.Column("updated_at", sa.DateTime(), nullable=False, server_default=sa.func.now()),
-    )
-    op.create_index("ix_ai_avatar_render_user_status", "ai_avatar_render_jobs", ["user_id", "status"])
-    op.create_index("ix_ai_avatar_render_project_user", "ai_avatar_render_jobs", ["project_id", "user_id"])
-
-
-def downgrade() -> None:
-    op.drop_index("ix_ai_avatar_render_project_user", table_name="ai_avatar_render_jobs")
-    op.drop_index("ix_ai_avatar_render_user_status", table_name="ai_avatar_render_jobs")
-    op.drop_table("ai_avatar_render_jobs")
@@ -1,24 +1,17 @@
 from app.api.routes.ai import router as ai_router
-from app.api.routes.ai_avatar_render import router as ai_avatar_render_router
 from app.api.routes.asset_diagnosis import router as asset_diagnosis_router
 from app.api.routes.asset_libraries import router as asset_libraries_router
 from app.api.routes.assets import router as assets_router
 from app.api.routes.auth import router as auth_router
 from app.api.routes.chunked_upload import router as chunked_upload_router
 from app.api.routes.classification_jobs import router as classification_jobs_router
-from app.api.routes.cover_templates import router as cover_templates_router
 from app.api.routes.duplication import router as duplication_router
 from app.api.routes.feature_flags import router as feature_flags_router
-from app.api.routes.generation_cover import router as generation_cover_router
-from app.api.routes.generation_preview import router as generation_preview_router
 from app.api.routes.generation_tasks import router as generation_tasks_router
-from app.api.routes.generation_variant_plans import router as generation_variant_plans_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.lipsync import router as lipsync_router
 from app.api.routes.projects import router as projects_router
-from app.api.routes.scripts import router as scripts_router
 from app.api.routes.share import router as share_router
 from app.api.routes.subscription import router as subscription_router
 from app.api.routes.tags import router as tags_router
@@ -41,11 +34,6 @@ api_router.include_router(
    auth_router,
    tags=["Auth"],
 )
-api_router.include_router(
-    lipsync_router,
-    prefix="/lipsync",
-    tags=["Lipsync"],
-)
 api_router.include_router(
    projects_router,
    prefix="/projects",
@@ -56,10 +44,6 @@ api_router.include_router(
    prefix="/tags",
    tags=["Tag"],
 )
-api_router.include_router(
-    cover_templates_router,
-    tags=["CoverTemplate"],
-)
 api_router.include_router(
    task_center_router,
    tags=["TaskCenter"],
@@ -103,21 +87,6 @@ api_router.include_router(
    prefix="/generation",
    tags=["Generation"],
 )
-api_router.include_router(
-    generation_preview_router,
-    prefix="/generation",
-    tags=["Generation"],
-)
-api_router.include_router(
-    generation_variant_plans_router,
-    prefix="/generation",
-    tags=["Generation"],
-)
-api_router.include_router(
-    generation_cover_router,
-    prefix="/generation",
-    tags=["Generation"],
-)
 api_router.include_router(
    titles_router,
    prefix="/titles",
@@ -179,13 +148,3 @@ api_router.include_router(
    internal_render_router,
    tags=["Internal"],
 )
-api_router.include_router(
-    scripts_router,
-    prefix="/scripts",
-    tags=["ScriptLibrary"],
-)
-api_router.include_router(
-    ai_avatar_render_router,
-    prefix="/ai-avatar/render",
-    tags=["AI Avatar Render"],
-)
@@ -1,175 +0,0 @@
-"""AI数字人渲染合成 API 路由 — #1798.
-
-接口：
-  POST   /api/v1/ai-avatar/render              提交渲染任务
-  GET    /api/v1/ai-avatar/render/jobs          任务列表
-  GET    /api/v1/ai-avatar/render/{job_id}      任务详情
-  POST   /api/v1/ai-avatar/render/{job_id}/cancel  取消任务
-  POST   /api/v1/ai-avatar/render/{job_id}/retry   重试失败任务
-"""
-
-from __future__ import annotations
-
-import logging
-
-from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_db_session
-from app.schemas.ai_avatar_render import (
-    AiAvatarRenderJobResponse,
-    CreateAiAvatarRenderRequest,
-)
-from app.services.ai_avatar_render_service import (
-    AiAvatarRenderError,
-    AiAvatarRenderService,
-)
-from fastapi import APIRouter, Depends, HTTPException, Query
-from sqlalchemy.orm import Session
-
-logger = logging.getLogger(__name__)
-
-router = APIRouter()
-
-
-def _get_service(db: Session = Depends(get_db_session)) -> AiAvatarRenderService:
-    return AiAvatarRenderService(db)
-
-
-# ── POST / — 提交渲染任务 ────────────────────────────────────────────────
-
-
-@router.post("", response_model=AiAvatarRenderJobResponse, status_code=201)
-def create_render_job(
-    body: CreateAiAvatarRenderRequest,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    svc: AiAvatarRenderService = Depends(_get_service),
-):
-    """提交 AI 数字人渲染任务.
-
-    将对口型视频 + B-roll 素材 + 标题叠加 + 封面提取合成最终输出视频。
-    """
-    try:
-        job = svc.create_render_job(
-            user_id=current_user.id,
-            lipsync_job_id=body.lipsync_job_id,
-            script_id=body.script_id,
-            b_roll_segments=[s.model_dump() for s in body.b_roll_segments],
-            title_config=body.title_config,
-            cover_config=body.cover_config,
-            project_id=body.project_id,
-        )
-    except AiAvatarRenderError as exc:
-        status_map = {
-            "LipsyncJobNotFound": 404,
-            "LipsyncJobNotCompleted": 400,
-            "LipsyncJobNoOutput": 400,
-            "ScriptNotFound": 404,
-        }
-        raise HTTPException(
-            status_code=status_map.get(exc.code, 400),
-            detail={"code": exc.code, "message": str(exc)},
-        ) from exc
-
-    # 异步触发渲染
-    try:
-        from app.tasks.ai_avatar_render import execute_ai_avatar_render
-
-        execute_ai_avatar_render.delay(job.id)
-    except Exception:
-        logger.warning("Celery 任务提交失败，渲染任务已创建但未触发执行: %s", job.id)
-
-    return job
-
-
-# ── GET /jobs — 任务列表 ─────────────────────────────────────────────────
-
-
-@router.get("/jobs", response_model=dict)
-def list_render_jobs(
-    project_id: str = Query("", description="项目 ID 过滤"),
-    status: str = Query("", description="状态过滤"),
-    offset: int = Query(0, ge=0),
-    limit: int = Query(20, ge=1, le=100),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    svc: AiAvatarRenderService = Depends(_get_service),
-):
-    """获取 AI 数字人渲染任务列表."""
-    items, total = svc.list_render_jobs(
-        user_id=current_user.id,
-        project_id=project_id,
-        status=status,
-        offset=offset,
-        limit=limit,
-    )
-    return {
-        "items": [AiAvatarRenderJobResponse.model_validate(j) for j in items],
-        "total": total,
-        "offset": offset,
-        "limit": limit,
-    }
-
-
-# ── GET /{job_id} — 任务详情 ─────────────────────────────────────────────
-
-
-@router.get("/{job_id}", response_model=AiAvatarRenderJobResponse)
-def get_render_job(
-    job_id: str,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    svc: AiAvatarRenderService = Depends(_get_service),
-):
-    """获取渲染任务详情."""
-    job = svc.get_render_job(job_id, current_user.id)
-    if job is None:
-        raise HTTPException(status_code=404, detail="渲染任务不存在")
-    return job
-
-
-# ── POST /{job_id}/cancel — 取消任务 ─────────────────────────────────────
-
-
-@router.post("/{job_id}/cancel", response_model=AiAvatarRenderJobResponse)
-def cancel_render_job(
-    job_id: str,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    svc: AiAvatarRenderService = Depends(_get_service),
-):
-    """取消渲染任务（仅 pending 状态可取消）."""
-    job = svc.cancel_render_job(job_id, current_user.id)
-    if job is None:
-        raise HTTPException(status_code=404, detail="渲染任务不存在")
-    if job.status != "cancelled":
-        raise HTTPException(
-            status_code=400,
-            detail=f"任务状态 {job.status} 不可取消，仅 pending 可取消",
-        )
-    return job
-
-
-# ── POST /{job_id}/retry — 重试失败任务 ──────────────────────────────────
-
-
-@router.post("/{job_id}/retry", response_model=AiAvatarRenderJobResponse)
-def retry_render_job(
-    job_id: str,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    svc: AiAvatarRenderService = Depends(_get_service),
-):
-    """重试失败的渲染任务."""
-    job = svc.retry_render_job(job_id, current_user.id)
-    if job is None:
-        raise HTTPException(status_code=404, detail="渲染任务不存在")
-    if job.status != "pending":
-        raise HTTPException(
-            status_code=400,
-            detail=f"仅 failed 状态的任务可重试，当前状态: {job.status}",
-        )
-
-    # 重新触发渲染
-    try:
-        from app.tasks.ai_avatar_render import execute_ai_avatar_render
-
-        execute_ai_avatar_render.delay(job.id)
-    except Exception:
-        logger.warning("Celery 任务提交失败，重试任务已重置但未触发执行: %s", job.id)
-
-    return job
@@ -20,7 +20,7 @@ from packages.application import (
    GetProjectUseCase,
    ListAssetLibrariesUseCase,
 )
-from packages.domain import AssetLibraryKind
+from packages.domain import AssetLibrary, AssetLibraryKind

 from ._helpers import check_project_access

@@ -120,11 +120,30 @@ def ensure_default_library(

    kind = AssetLibraryKind(request.kind)

-    # Issue #1775: 幂等获取/创建——依赖唯一约束 uq_asset_libraries_project_kind，
-    # 并发创建冲突时回滚重查返回已有记录，不再依赖应用层"先查后插"，也不会 500。
+    # 查找该项目下同 kind 的素材库，返回第一个
+    existing = asset_library_repository.find_by_project(request.project_id)
+    for lib in existing:
+        if lib.kind == kind:
+            return _to_asset_library_response(lib)
+
+    # 不存在 → 自动创建
+    import uuid
+    from datetime import datetime, timezone
+
+    now = datetime.now(timezone.utc)
    default_name = _DEFAULT_LIBRARY_NAMES.get(request.kind, f"{request.kind}素材库")
-    library = asset_library_repository.get_or_create_default_library(request.project_id, kind, name=default_name)
-    return _to_asset_library_response(library)
+    library = AssetLibrary(
+        id=str(uuid.uuid4()),
+        project_id=request.project_id,
+        name=default_name,
+        kind=kind,
+        asset_count=0,
+        total_size=0,
+        created_at=now,
+        updated_at=now,
+    )
+    created = asset_library_repository.create(library)
+    return _to_asset_library_response(created)


@router.delete("/{library_id}", status_code=status.HTTP_204_NO_CONTENT, response_class=Response)
@@ -1,5 +1,5 @@
 import logging
-from typing import Any, List, Optional
+from typing import Any, Optional

 from app.api.routes._helpers import check_project_access, format_utc_datetime
 from app.auth import AuthenticatedUser, get_current_user
@@ -14,45 +14,28 @@ from app.schemas.asset import (
    AssetResponse,
    BatchClassifyRequest,
    BatchDeleteRequest,
-    BatchGetRequest,
    BatchMarkRequest,
    BatchOperationResponse,
    BatchTagRequest,
+    CreateAssetRequest,
    ListAssetsResponse,
-    SmartMatchItem,
-    SmartMatchRequest,
-    SmartMatchResponse,
    UpdateAssetRequest,
    UpdateAssetReviewRequest,
 )
 from app.schemas.tag import TagAssetsRequest
-from app.services.asset_segment_tracker import compute_asset_availability, get_asset_recent_use_counts
 from fastapi import APIRouter, Depends, HTTPException, Query, Response

-from packages.domain.smart_match import smart_select_assets
+from packages.application import (
+    CreateAssetCommand,
+    CreateAssetUseCase,
+)
+from packages.domain import AssetStatus, ClassificationStatus

 logger = logging.getLogger(__name__)

 router = APIRouter()


-def _asset_availability_fields(item) -> dict:
-    """视频素材返回余量四字段；非视频/无时长/异常时返回 None + usable=True（零影响）。"""
-    try:
-        info = compute_asset_availability(item)
-    except Exception:
-        logger.warning("计算素材余量失败，按可用处理: asset_id=%s", getattr(item, "id", "?"), exc_info=True)
-        info = None
-    if info is None:
-        return {
-            "used_duration": None,
-            "available_duration": None,
-            "used_ratio": None,
-            "usable": True,
-        }
-    return info
-
-
 def _to_asset_response(item, storage_service=None) -> AssetResponse:
    # 生成签名文件 URL（用于视频播放 / 文件下载）
    file_url = None
@@ -64,16 +47,10 @@ def _to_asset_response(item, storage_service=None) -> AssetResponse:
            logger.warning("生成签名URL失败: storage_key=%s", item.storage_key, exc_info=True)
            file_url = None

-    # 缩略图：存储的是 storage_key，需要生成签名 URL 供前端使用
-    # 不再降级使用视频文件 URL（浏览器 <img> 无法渲染 .mp4，会显示黑屏）
-    thumbnail_url = None
-    if item.thumbnail_url:
-        try:
-            svc = storage_service or get_storage_service()
-            thumbnail_url = svc.get_download_url(item.thumbnail_url)
-        except Exception:
-            logger.warning("生成缩略图签名URL失败: key=%s", item.thumbnail_url, exc_info=True)
-            thumbnail_url = None
+    # 缩略图：优先用已有 thumbnail_url，否则对视频素材复用文件签名 URL
+    thumbnail_url = item.thumbnail_url
+    if not thumbnail_url and item.mime_type and item.mime_type.startswith("video") and file_url:
+        thumbnail_url = file_url

    return AssetResponse(
        id=item.id,
@@ -97,7 +74,6 @@ def _to_asset_response(item, storage_service=None) -> AssetResponse:
        created_at=format_utc_datetime(item.created_at),
        uploaded_by_user_id=item.uploaded_by_user_id,
        tag_ids=getattr(item, "tag_ids", []),
-        **_asset_availability_fields(item),
    )


@@ -290,7 +266,7 @@ def list_assets(
        else:
            total = asset_repository.count_by_project_ids(project_ids, status=status_list)
            # 跨项目分页：逐项目累积直到凑够一页
-            paged_items = []
+            paged_items: list = []
            offset = skip
            remaining = limit
            for pid in project_ids:
@@ -390,18 +366,6 @@ def update_asset_review_status(
    return _to_asset_response(updated)


-@router.post("/batch", response_model=List[AssetResponse])
-def batch_get_assets(
-    request: BatchGetRequest,
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    asset_repository: Any = Depends(get_asset_repository),
-) -> list[AssetResponse]:
-    """批量获取素材详情（根据 ID 列表）。"""
-    items = asset_repository.find_by_ids(request.ids)
-    storage_service = get_storage_service()
-    return [_to_asset_response(item, storage_service) for item in items]
-
-
@router.post("/batch-delete", response_model=BatchOperationResponse)
 def batch_delete_assets(
    request: BatchDeleteRequest,
@@ -555,119 +519,6 @@ def batch_mark_assets(
    )


-@router.post("/smart-match", response_model=SmartMatchResponse)
-def smart_match_assets(
-    request: SmartMatchRequest,
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    asset_repository: Any = Depends(get_asset_repository),
-    asset_library_repository: Any = Depends(get_asset_library_repository),
-    project_repository: Any = Depends(get_project_repository),
-) -> SmartMatchResponse:
-    """智能选素材：根据素材库内容，按质量分+时长均衡+新鲜度+未使用偏好综合评分，返回 Top N 素材。"""
-    library = asset_library_repository.get(request.library_id)
-    if library is None:
-        raise HTTPException(status_code=404, detail=f"AssetLibrary {request.library_id} not found")
-    check_project_access(library.project_id, authenticated_user.user.id, project_repository)
-
-    # 获取素材库中所有 ready 素材（DB 层按 kind 过滤，避免加载不必要的数据到内存）
-    # kind → file_type 映射：schema 已校验只允许 video/image/audio，与 file_type 一致
-    if request.kind:
-        filtered_assets = asset_repository.find_by_library_and_file_type(
-            request.library_id, request.kind, status=["ready"], limit=10000
-        )
-    else:
-        filtered_assets = asset_repository.find_by_library(request.library_id, status=["ready"], limit=10000)
-    total_candidates = len(filtered_assets)
-
-    # ── 过滤前置：余量 + 高频使用，过滤在评分/截取 limit 之前完成 ──────────
-    # 旧实现先 smart_select_assets(limit=N) 再对这 N 条做过滤，过滤后不回补，
-    # 当排名靠前的素材恰好都被排除时返回空 items（前端回退全选，smart-match 名存实亡）。
-    # 现在先过滤全量候选，每级过滤后为空/不足则回退上一级，最后才评分截取。
-
-    # 1) 余量过滤：usable=False（零重复可切区间耗尽且历史区间均达复用上限）的素材排除
-    usable_assets = []
-    exhausted_assets = []
-    for a in filtered_assets:
-        try:
-            avail = compute_asset_availability(a)
-        except Exception:
-            logger.warning(
-                "smart-match 余量计算失败，按可用处理: asset_id=%s",
-                getattr(a, "id", "?"),
-                exc_info=True,
-            )
-            avail = None
-        if avail is not None and not avail["usable"]:
-            exhausted_assets.append(a)
-        else:
-            usable_assets.append(a)
-
-    if exhausted_assets:
-        logger.info(
-            "smart-match 余量过滤: 候选 %d，可切区间耗尽 %d",
-            len(filtered_assets), len(exhausted_assets),
-        )
-
-    # 回退策略：余量过滤后为空（全部耗尽）时，保留全部候选，不返回空结果。
-    # 宁可让用户在已耗尽素材上复用，也比 smart-match 空结果回退全选更可控
-    # （全选同样会选到这些素材，且不经过评分排序）。
-    pool = usable_assets if usable_assets else filtered_assets
-
-    # 2) 高频使用排除：同一素材在最近 5 个视频中出现超过 3 次则排除
-    MAX_RECENT_USE_COUNT = 3
-    high_freq_assets = set()
-    if pool:
-        asset_ids = [getattr(a, "id", "") for a in pool if getattr(a, "id", "")]
-        if asset_ids:
-            try:
-                use_counts = get_asset_recent_use_counts(
-                    db=asset_repository.session,
-                    asset_ids=asset_ids,
-                    recent_video_count=5,
-                )
-                for a in pool:
-                    aid = getattr(a, "id", "")
-                    count = use_counts.get(aid, 0)
-                    if count > MAX_RECENT_USE_COUNT:
-                        high_freq_assets.add(aid)
-                        logger.info(
-                            "smart-match 排除高频使用素材: asset_id=%s use_count=%d limit=%d",
-                            aid, count, MAX_RECENT_USE_COUNT,
-                        )
-                # 回退策略：排除后剩余素材不足（为空或不够 limit）时，
-                # 不再全部排除，保留全部可用素材
-                if high_freq_assets:
-                    remaining_count = len(pool) - len(high_freq_assets)
-                    enough = request.limit is None or remaining_count >= request.limit
-                    if remaining_count > 0 and enough:
-                        pool = [a for a in pool if getattr(a, "id", "") not in high_freq_assets]
-                    else:
-                        logger.info(
-                            "smart-match 高频排除后素材不足(%d<%s)，保留全部 %d 条",
-                            remaining_count,
-                            request.limit if request.limit is not None else "不限",
-                            len(pool),
-                        )
-            except Exception:
-                logger.warning("smart-match 高频使用查询失败，跳过排除", exc_info=True)
-
-    # 3) 调用统一智能选素材算法（kind 已在 DB 层过滤，无需重复过滤）
-    results = smart_select_assets(pool, limit=request.limit, kind=None)
-
-    # 扁平结构：SmartMatchItem 继承 AssetResponse，素材字段直接在条目顶层，
-    # 前端无需解析 item.asset 包装层，item.id / item.usable / 余量字段直接可读
-    items = [
-        SmartMatchItem(
-            **_to_asset_response(r.asset).model_dump(),
-            score=r.score,
-            breakdown=r.breakdown,
-        )
-        for r in results
-    ]
-
-    return SmartMatchResponse(items=items, total_candidates=total_candidates)
-
-
@router.get("/{asset_id}", response_model=AssetResponse)
 def get_asset(
    asset_id: str,
@@ -764,12 +615,43 @@ def untag_asset(


@router.post("", response_model=AssetResponse)
-def create_asset() -> None:
-    """
-    已废弃接口。
-    所有素材上传统一走 uploadAssetDirect → completeDirectUpload → ingest-jobs 流程。
-    """
-    raise HTTPException(
-        status_code=410,
-        detail="此接口已废弃。请使用 uploadAssetDirect 接口上传素材，Worker 会自动处理（视频转码、图片/音频元数据提取）并创建 Asset 记录。",
+def create_asset(
+    request: CreateAssetRequest,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    asset_repository: Any = Depends(get_asset_repository),
+    asset_library_repository: Any = Depends(get_asset_library_repository),
+    project_repository: Any = Depends(get_project_repository),
+) -> AssetResponse:
+    project = project_repository.find_by_id(request.project_id)
+    if project is None:
+        raise HTTPException(status_code=404, detail=f"Project {request.project_id} not found")
+    if not project.can_access(authenticated_user.user.id):
+        raise HTTPException(status_code=403, detail="Access denied to project")
+
+    library = asset_library_repository.get(request.library_id)
+    if library is None or library.project_id != request.project_id:
+        raise HTTPException(status_code=404, detail=f"AssetLibrary {request.library_id} not found")
+
+    use_case = CreateAssetUseCase(asset_repository)
+    item = use_case.execute(
+        CreateAssetCommand(
+            project_id=request.project_id,
+            library_id=request.library_id,
+            name=request.name,
+            storage_key=request.storage_key,
+            mime_type=request.mime_type,
+            metadata=request.metadata,
+            file_size=request.file_size,
+            thumbnail_url=request.thumbnail_url,
+            duration=request.duration,
+            width=request.width,
+            height=request.height,
+            fps=request.fps,
+            codec=request.codec,
+            status=AssetStatus(request.status),
+            classification_status=ClassificationStatus(request.classification_status),
+            quality_score=request.quality_score,
+            uploaded_by_user_id=authenticated_user.user.id,
+        )
    )
+    return _to_asset_response(item)
@@ -1,5 +1,4 @@
 """
-from __future__ import annotations
 Canonical authentication API routes.

 The route layer is intentionally thin: repository construction lives in
@@ -14,9 +13,9 @@ import jwt
 from app.auth import AuthenticatedUser, blacklist_token, get_current_user
 from app.config import settings
 from app.dependencies import get_auth_email_service, get_auth_session_store, get_user_repository
-from fastapi import APIRouter, Depends, Header, HTTPException, Request, status
+from fastapi import APIRouter, Depends, Header, HTTPException, status
 from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
-from pydantic import BaseModel, EmailStr, field_validator
+from pydantic import BaseModel, EmailStr

 from packages.adapters.redis import NoopSessionStore
 from packages.adapters.smtp import NoopEmailService
@@ -85,23 +84,6 @@ class CurrentUserResponse(BaseModel):
    phone: str = ""
    phone_verified: bool = False
    binding_complete: bool = False
-    wechat_bound: bool = False
-    profile_completed: bool = True
-
-
-class UserProfileResponse(BaseModel):
-    """用户资料负载（PATCH /me、绑定/解绑接口复用；字段与 GET /auth/me 一致，前端 normalizeUser 直接消费）"""
-
-    user_id: str
-    email: str
-    username: str
-    display_name: str
-    email_verified: bool
-    phone: str = ""
-    phone_verified: bool = False
-    binding_complete: bool = False
-    wechat_bound: bool = False
-    profile_completed: bool = True


 class PasswordResetRequestModel(BaseModel):
@@ -290,52 +272,9 @@ async def get_current_user_info(
        phone=user.phone or "",
        phone_verified=user.phone_verified,
        binding_complete=binding_complete,
-        wechat_bound=bool(user.wechat_openid),
-        profile_completed=user.profile_completed,
    )


-class UpdateProfileRequest(BaseModel):
-    """更新个人资料请求（当前仅支持昵称）"""
-
-    display_name: str
-
-    @field_validator("display_name")
-    @classmethod
-    def _validate_display_name(cls, v: str) -> str:
-        name = (v or "").strip()
-        if not name:
-            raise ValueError("昵称不能为空白")
-        if len(name) > 20:
-            raise ValueError("昵称长度需在 1-20 个字符之间")
-        return name
-
-
-class UpdateProfileResponse(BaseModel):
-    """更新资料响应：前端 normalizeUser(response.user) 直接消费"""
-
-    user: UserProfileResponse
-
-
-@router.patch("/me", response_model=UpdateProfileResponse)
-async def update_current_user_profile(
-    request: UpdateProfileRequest,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    user_repository: UserRepository = Depends(get_user_repository),
-) -> UpdateProfileResponse:
-    """更新当前登录用户昵称（微信新用户首次设置昵称后置 profile_completed=True）。"""
-    user = current_user.user
-    user.display_name = request.display_name  # 已 strip（validator）
-    if not user.profile_completed:
-        user.profile_completed = True
-    user_repository.save(user)
-
-    logger.info("[资料更新] 用户 %s 更新昵称，profile_completed=%s", user.id, user.profile_completed)
-    # 重新读取，确保返回的是持久化后的最新状态
-    fresh = user_repository.find_by_id(user.id) or user
-    return UpdateProfileResponse(user=_user_profile(fresh))
-
-
 class _NoopSessionStore(NoopSessionStore):
    pass

@@ -487,7 +426,6 @@ async def get_wechat_auth_url() -> WechatAuthUrlResponse:
@router.post("/wechat/callback", response_model=WechatLoginResponse)
 async def wechat_callback(
    request: WechatCallbackRequest,
-    http_request: Request,
    user_repository: UserRepository = Depends(get_user_repository),
 ) -> WechatLoginResponse:
    """微信登录回调处理"""
@@ -495,30 +433,11 @@ async def wechat_callback(
    from packages.application.auth.wechat_sync_use_case import WechatSyncRequest as SyncRequest
    from packages.application.auth.wechat_sync_use_case import WechatSyncUseCase

-    # 回调可观测性：记录 UA（区分微信内置浏览器 MicroMessenger）与 state，
-    # 便于排查"停留 open.weixin.qq.com / 回调失败"类问题（#1718）
-    user_agent = http_request.headers.get("User-Agent", "")
-    is_wechat_browser = "MicroMessenger" in user_agent
-    logger.info(
-        "[微信回调] 收到回调: state=%s code_len=%d UA=%r 微信内置浏览器=%s",
-        (request.state or "")[:8],
-        len(request.code or ""),
-        user_agent[:200],
-        is_wechat_browser,
-    )
-
    # 1. 用 code 换微信用户信息
    oauth_service = get_wechat_oauth_service()
    wechat_user, err = oauth_service.handle_callback(request.code, request.state)
    if err:
-        # state 校验失败 / 微信 errcode 等错误原文已在 service 内 log，这里带上 UA 上下文
-        logger.warning("[微信回调] 处理失败: err=%s 微信内置浏览器=%s", err, is_wechat_browser)
        raise HTTPException(status_code=400, detail=err)
-    logger.info(
-        "[微信回调] state 校验通过，微信用户信息获取成功: openid=%s unionid=%s",
-        wechat_user.openid[:8] if wechat_user.openid else "",
-        bool(wechat_user.unionid),
-    )

    # 2. 同步登录/注册（复用 wechat-sync 逻辑）
    use_case = WechatSyncUseCase(user_repository=user_repository)
@@ -537,7 +456,7 @@ async def wechat_callback(
    user = user_repository.find_by_id(response.user_id)
    binding_complete = False
    if user:
-        binding_complete = bool(
+        binding_complete = (
            user.phone_verified and user.email_verified and user.email and "@wechat.local" not in user.email
        )

@@ -553,109 +472,6 @@ async def wechat_callback(
    )


-# ==================== 微信账号绑定/解绑（已登录用户） ====================
-
-
-class WechatBindUrlResponse(BaseModel):
-    auth_url: str
-    state: str
-
-
-class WechatBindCompleteRequest(BaseModel):
-    code: str
-    state: str = ""
-
-
-class WechatBindCompleteResponse(BaseModel):
-    success: bool
-    user: UserProfileResponse
-
-
-class WechatUnbindResponse(BaseModel):
-    success: bool
-
-
-def _user_profile(user) -> UserProfileResponse:
-    binding_complete = bool(
-        user.phone_verified and user.email_verified and user.email and "@wechat.local" not in user.email
-    )
-    return UserProfileResponse(
-        user_id=user.id,
-        email=user.email,
-        username=user.username,
-        display_name=user.display_name,
-        email_verified=user.email_verified,
-        phone=user.phone or "",
-        phone_verified=user.phone_verified,
-        binding_complete=binding_complete,
-        wechat_bound=bool(user.wechat_openid),
-        profile_completed=user.profile_completed,
-    )
-
-
-@router.get("/wechat/bind/url", response_model=WechatBindUrlResponse)
-async def get_wechat_bind_url(
-    current_user: AuthenticatedUser = Depends(get_current_user),
-) -> WechatBindUrlResponse:
-    """获取微信绑定授权链接（已登录用户场景）。state 经 Redis 存储做 CSRF 校验。"""
-    from packages.application.auth.wechat_oauth_service import get_wechat_oauth_service
-
-    oauth_service = get_wechat_oauth_service()
-    auth_url, state = oauth_service.generate_auth_url()
-    logger.info("[微信绑定] 用户 %s 请求绑定授权链接", current_user.user.id)
-    return WechatBindUrlResponse(auth_url=auth_url, state=state)
-
-
-@router.post("/wechat/bind", response_model=WechatBindCompleteResponse)
-async def wechat_bind(
-    request: WechatBindCompleteRequest,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    user_repository: UserRepository = Depends(get_user_repository),
-) -> WechatBindCompleteResponse:
-    """微信绑定完成：扫码回调后用 code 换 openid，绑定到当前登录账号（不创建新用户）。"""
-    from packages.application.auth.wechat_bind_use_case import WechatBindRequest, WechatBindUseCase
-    from packages.application.auth.wechat_oauth_service import get_wechat_oauth_service
-
-    oauth_service = get_wechat_oauth_service()
-    wechat_user, err = oauth_service.handle_callback(request.code, request.state)
-    if err:
-        logger.warning("[微信绑定] 用户 %s 换取微信信息失败: %s", current_user.user.id, err)
-        raise HTTPException(status_code=400, detail=err)
-
-    use_case = WechatBindUseCase(user_repository=user_repository)
-    result, error, http_status = use_case.bind(
-        WechatBindRequest(
-            user_id=current_user.user.id,
-            openid=wechat_user.openid,
-            unionid=wechat_user.unionid or "",
-        )
-    )
-    if error:
-        logger.warning("[微信绑定] 用户 %s 绑定失败: %s", current_user.user.id, error)
-        raise HTTPException(status_code=http_status, detail=error)
-
-    logger.info("[微信绑定] 用户 %s 绑定成功 openid=%s", current_user.user.id, wechat_user.openid[:8])
-    return WechatBindCompleteResponse(success=True, user=_user_profile(result.user))
-
-
-@router.delete("/wechat/bind", response_model=WechatUnbindResponse)
-async def wechat_unbind(
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    user_repository: UserRepository = Depends(get_user_repository),
-) -> WechatUnbindResponse:
-    """解绑微信：需账号仍有其他登录方式（密码/手机/真实邮箱），否则拒绝。"""
-    from packages.application.auth.wechat_bind_use_case import WechatUnbindUseCase
-
-    use_case = WechatUnbindUseCase(user_repository=user_repository)
-    result, error, http_status = use_case.unbind(current_user.user.id)
-    if error:
-        logger.warning("[微信解绑] 用户 %s 解绑失败: %s", current_user.user.id, error)
-        raise HTTPException(status_code=http_status, detail=error)
-
-    logger.info("[微信解绑] 用户 %s 解绑成功", current_user.user.id)
-    return WechatUnbindResponse(success=True)
-
-
 # ==================== 验证码 & 绑定 ====================


@@ -14,7 +14,6 @@ from typing import Any
 from uuid import uuid4

 from app.api.routes._helpers import require_project_and_library
-from app.api.routes.upload import _persist_celery_task_id
 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
@@ -382,8 +381,7 @@ async def complete_chunked_upload(
                file_hash=request.file_hash,
            )
        )
-        celery_result = celery_app.send_task("worker.ingest_asset", args=[job.id])
-        _persist_celery_task_id(ingest_job_repository, job, getattr(celery_result, "id", ""))
+        celery_app.send_task("worker.ingest_asset", args=[job.id])

        # Update metadata status
        meta["status"] = "completed"
@@ -1,153 +0,0 @@
-"""封面模板 CRUD 路由。
-
-API:
-  GET    /api/v1/cover-templates       - 列出当前用户可见的模板
-  POST   /api/v1/cover-templates       - 创建自定义模板
-  PUT    /api/v1/cover-templates/{id}  - 更新模板
-  DELETE /api/v1/cover-templates/{id}  - 删除自定义模板（系统模板不可删）
-"""
-
-import logging
-from typing import Any
-
-from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_cover_template_repository
-from app.schemas.cover_template import (
-    CoverTemplateResponse,
-    CreateCoverTemplateRequest,
-    ListCoverTemplatesResponse,
-    UpdateCoverTemplateRequest,
-)
-from fastapi import APIRouter, Depends, HTTPException, Response
-from sqlalchemy.exc import OperationalError, ProgrammingError
-
-from packages.domain.cover_template import CoverTemplate
-
-logger = logging.getLogger(__name__)
-
-router = APIRouter(prefix="/cover-templates", tags=["CoverTemplate"])
-
-
-@router.get("", response_model=ListCoverTemplatesResponse)
-def list_cover_templates(
-    skip: int = 0,
-    limit: int = 100,
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    repo: Any = Depends(get_cover_template_repository),
-) -> ListCoverTemplatesResponse:
-    """列出当前用户可见的封面模板（系统模板 + 用户自定义模板）。
-
-    当数据库表不存在时（迁移未执行），降级返回空列表而非 500。
-    """
-    user_id = authenticated_user.user.id
-    try:
-        items = repo.list_for_user(user_id, skip=skip, limit=limit)
-        total = repo.count_for_user(user_id)
-    except (OperationalError, ProgrammingError) as exc:
-        logger.warning("cover_templates 表查询失败（可能未迁移），返回空列表: %s", exc)
-        return ListCoverTemplatesResponse(items=[], total=0)
-    return ListCoverTemplatesResponse(
-        items=[
-            CoverTemplateResponse(
-                id=t.id,
-                name=t.name,
-                thumbnail_url=t.thumbnail_url,
-                is_system=t.is_system,
-                created_at=t.created_at,
-                config=t.config or {},
-            )
-            for t in items
-        ],
-        total=total,
-    )
-
-
-@router.post("", response_model=CoverTemplateResponse, status_code=201)
-def create_cover_template(
-    request: CreateCoverTemplateRequest,
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    repo: Any = Depends(get_cover_template_repository),
-) -> CoverTemplateResponse:
-    """创建用户自定义封面模板。"""
-    user_id = authenticated_user.user.id
-    config_dict = request.config.model_dump() if request.config else {}
-    template = CoverTemplate.create_user(
-        user_id=user_id,
-        name=request.name,
-        config=config_dict,
-        thumbnail_url=request.thumbnail_url,
-    )
-    try:
-        created = repo.create(template)
-    except (OperationalError, ProgrammingError) as exc:
-        logger.warning("cover_templates 表不可用（可能未迁移）: %s", exc)
-        raise HTTPException(status_code=503, detail="封面模板服务暂不可用，请稍后重试") from None
-    return CoverTemplateResponse(
-        id=created.id,
-        name=created.name,
-        thumbnail_url=created.thumbnail_url,
-        is_system=created.is_system,
-        created_at=created.created_at,
-        config=created.config,
-    )
-
-
-@router.put("/{template_id}", response_model=CoverTemplateResponse)
-def update_cover_template(
-    template_id: str,
-    request: UpdateCoverTemplateRequest,
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    repo: Any = Depends(get_cover_template_repository),
-) -> CoverTemplateResponse:
-    """更新封面模板（仅允许更新自己的模板）。"""
-    user_id = authenticated_user.user.id
-    try:
-        template = repo.get(template_id)
-    except (OperationalError, ProgrammingError) as exc:
-        logger.warning("cover_templates 表不可用: %s", exc)
-        raise HTTPException(status_code=503, detail="封面模板服务暂不可用，请稍后重试") from None
-    if template is None:
-        raise HTTPException(status_code=404, detail="模板不存在")
-    if template.is_system:
-        raise HTTPException(status_code=403, detail="系统模板不可修改")
-    if template.user_id != user_id:
-        raise HTTPException(status_code=403, detail="无权修改该模板")
-
-    if request.name is not None:
-        template.update(name=request.name)
-    if request.config is not None:
-        template.update(config=request.config.model_dump())
-    if request.thumbnail_url is not None:
-        template.update(thumbnail_url=request.thumbnail_url)
-
-    updated = repo.update(template)
-    return CoverTemplateResponse(
-        id=updated.id,
-        name=updated.name,
-        thumbnail_url=updated.thumbnail_url,
-        is_system=updated.is_system,
-        created_at=updated.created_at,
-        config=updated.config,
-    )
-
-
-@router.delete("/{template_id}", status_code=204, response_class=Response)
-def delete_cover_template(
-    template_id: str,
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    repo: Any = Depends(get_cover_template_repository),
-) -> None:
-    """删除用户自定义封面模板（系统模板不可删除）。"""
-    user_id = authenticated_user.user.id
-    try:
-        template = repo.get(template_id)
-    except (OperationalError, ProgrammingError) as exc:
-        logger.warning("cover_templates 表不可用: %s", exc)
-        raise HTTPException(status_code=503, detail="封面模板服务暂不可用，请稍后重试") from None
-    if template is None:
-        raise HTTPException(status_code=404, detail="模板不存在")
-    if template.is_system:
-        raise HTTPException(status_code=403, detail="系统模板不可删除")
-    if template.user_id != user_id:
-        raise HTTPException(status_code=403, detail="无权删除该模板")
-    repo.delete(template_id)
@@ -7,7 +7,6 @@ from typing import Any
 from uuid import uuid4

 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.dependencies import get_duplication_repository
 from app.schemas.duplication import (
@@ -77,8 +76,6 @@ def _to_record_response(record: DuplicationRecord) -> DuplicationRecordResponse:
        status=record.status,
        duplicate_rate=record.duplicate_rate,
        duplicate_count=record.duplicate_count,
-        visual_similarity=getattr(record, "visual_similarity", None),
-        match_count=getattr(record, "match_count", None),
        created_at=record.created_at.isoformat(),
        updated_at=record.updated_at.isoformat(),
    )
@@ -93,8 +90,6 @@ def _to_detail_response(record: DuplicationRecord) -> DuplicationDetailResponse:
        status=record.status,
        duplicate_rate=record.duplicate_rate,
        duplicate_count=record.duplicate_count,
-        visual_similarity=getattr(record, "visual_similarity", None),
-        match_count=getattr(record, "match_count", None),
        created_at=record.created_at.isoformat(),
        updated_at=record.updated_at.isoformat(),
        segments=[
@@ -197,8 +192,6 @@ async def upload_for_duplication(
        authenticated_user.user.id,
    )

-    celery_app.send_task("worker.process_duplication_check", args=[record.id])
-
    return DuplicationUploadResponse(
        id=record.id,
        status=record.status,
@@ -303,8 +296,6 @@ def retry_duplication(
            detail=f"查重记录 {record_id} 不存在",
        )

-    celery_app.send_task("worker.process_duplication_check", args=[updated.id])
-
    return DuplicationUploadResponse(
        id=updated.id,
        status=updated.status,
@@ -1,879 +0,0 @@
-"""封面生成路由 — Generation 模块.
-
-端点：
- POST /generate-cover     AI 生成封面（从最终成片视频中抽帧，兼容预览片段回退）
-
-挂载路径: /api/v1/generation/generate-cover
-"""
-
-from __future__ import annotations
-
-import ipaddress
-import logging
-import re
-from typing import Any, List, Optional
-from urllib.parse import urlparse
-
-from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_db_session, get_generated_video_repository
-from app.services.edit_plan_service import EditPlanService
-from app.services.edit_template_service import EditTemplateService
-from fastapi import APIRouter, Depends, HTTPException, Query
-from pydantic import BaseModel, Field
-from sqlalchemy.orm import Session
-
-from packages.adapters.sqlalchemy_impl.generation_task_repository import (
-    SQLAlchemyGenerationTaskRepository,
-)
-from packages.application import ListGeneratedVideosByTaskUseCase
-from packages.domain.config_schemas import normalize_plan_config
-from packages.shared.storage import get_shared_storage_service
-
-from .templates_editor.dependencies import get_draft_plan_id, get_editor_services
-
-logger = logging.getLogger(__name__)
-router = APIRouter(tags=["Generation"])
-
-
-# ── Schemas ──────────────────────────────────────────────────────────────
-
-
-class GenerateCoverRequest(BaseModel):
-    """AI 封面生成请求体"""
-
-    asset_ids: List[str] = Field(default_factory=list, description="素材 ID 列表（确定视频来源）")
-    cover_type: str = Field(
-        default="ai_frame",
-        description="封面类型: ai_frame / manual / upload / ai_regenerate",
-    )
-    frame_time: Optional[float] = Field(
-        default=None,
-        ge=0.0,
-        description="手动选帧时间点（秒），仅 cover_type=manual 时有效",
-    )
-    cover_url: Optional[str] = Field(
-        default=None,
-        description="上传的封面图片 URL，仅 cover_type=upload 时有效",
-    )
-    generated_video_id: Optional[str] = Field(
-        default=None,
-        description="确认生成产出的最终视频 ID。传入后封面从该视频文件抽帧，而非预览片段。",
-    )
-    video_url: Optional[str] = Field(
-        default=None,
-        description="最终视频 URL（兜底）。当 generated_video_id 不可用时，直接从此 URL 对应的视频抽帧。",
-    )
-
-
-class GenerateCoverResponse(BaseModel):
-    """AI 封面生成响应体"""
-
-    plan_id: str = Field(..., description="剪辑计划 ID")
-    cover: dict[str, Any] = Field(..., description="封面数据（type / image_url / frame_time 等）")
-
-
-# ── Route ────────────────────────────────────────────────────────────────
-
-
-
-def _select_best_frame_from_snapshots(
-    snapshots: list[dict], plan_id: str
-) -> str:
-    """从 MediaKit 抽帧结果中，通过质量评分选出最佳帧。
-
-    降级策略：cv2 不可用或评分失败时，返回第一帧。
-
-    Args:
-        snapshots: MediaKit 返回的帧列表 [{"image_url": str, ...}, ...]
-        plan_id: 计划 ID（日志用）
-
-    Returns:
-        最佳帧的 image_url，或空字符串
-    """
-    if not snapshots:
-        return ""
-    if len(snapshots) == 1:
-        return snapshots[0].get("image_url") or snapshots[0].get("url") or ""
-
-    try:
-        import tempfile
-
-        import httpx
-
-        from packages.shared.cover_frame_scorer import score_frames
-
-        scored_candidates = []
-        for snap in snapshots:
-            url = snap.get("image_url") or snap.get("url") or ""
-            if not url:
-                continue
-            # 下载帧到临时文件进行评分
-            try:
-                resp = httpx.get(url, timeout=15, follow_redirects=True)
-                resp.raise_for_status()
-                with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as tmp:
-                    tmp.write(resp.content)
-                    tmp_path = tmp.name
-                scored_candidates.append({"image_path": tmp_path, "url": url})
-            except Exception:
-                # 下载失败的帧跳过，给默认低分
-                scored_candidates.append({"image_path": None, "url": url, "score": 0.0})
-
-        if not scored_candidates:
-            return snapshots[0].get("image_url") or snapshots[0].get("url") or ""
-
-        scored = score_frames(scored_candidates)
-        best = scored[0] if scored else None
-        best_url = best.get("url", "") if best else ""
-        best_score = best.get("score", 0.0) if best else 0.0
-        logger.info(
-            "[封面生成] 帧质量评分完成: plan_id=%s candidates=%d best_score=%.1f",
-            plan_id,
-            len(scored_candidates),
-            best_score,
-        )
-
-        # 清理临时文件
-        for c in scored_candidates:
-            path = c.get("image_path")
-            if path:
-                try:
-                    from pathlib import Path
-
-                    Path(path).unlink(missing_ok=True)
-                except Exception:
-                    pass
-
-        return best_url
-
-    except Exception:
-        logger.warning(
-            "[封面生成] 帧质量评分失败，使用第一帧: plan_id=%s",
-            plan_id,
-            exc_info=True,
-        )
-        return snapshots[0].get("image_url") or snapshots[0].get("url") or ""
-
-
-def _persist_cover_frame(
-    frame_url: str,
-    plan_id: str,
-    title_text: str = "",
-    *,
-    title_color: str = "#ffffff",
-    title_position: str = "bottom",
-    title_font_size: int | None = None,
-) -> str:
-    """下载 MediaKit 返回的临时帧图，可选叠加标题后转存到 OSS covers/ 路径。
-
-    Args:
-        frame_url: MediaKit 返回的临时帧图 URL
-        plan_id: 剪辑计划 ID（生成 OSS key）
-        title_text: 非空时用 Pillow 在帧上叠加标题（用于 E2 从源素材抽帧，
-            因为源素材本身没有烧录标题）
-        title_color: 标题字体颜色（#RRGGBB）
-        title_position: 标题位置 top/center/bottom
-        title_font_size: 标题字号，None 时自动计算
-    """
-    import tempfile
-    import uuid
-    from pathlib import Path
-
-    tmp_path: str | None = None
-    try:
-        import httpx
-
-        resp = httpx.get(frame_url, timeout=30, follow_redirects=True)
-        resp.raise_for_status()
-        if not resp.content:
-            return frame_url
-
-        with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as tmp:
-            tmp.write(resp.content)
-            tmp_path = tmp.name
-
-        # E2 从源素材抽帧时，源素材无标题，叠加标题文字
-        if title_text and title_text.strip():
-            try:
-                from packages.shared.title_overlay import apply_title_to_image
-
-                applied = apply_title_to_image(
-                    tmp_path,
-                    title_text,
-                    color=title_color,
-                    position=title_position,
-                    font_size=title_font_size,
-                )
-                if applied:
-                    logger.info("[封面生成] E2 帧图已叠加标题: plan_id=%s", plan_id)
-            except Exception:
-                logger.warning(
-                    "[封面生成] E2 标题叠加失败（返回无标题帧）: plan_id=%s",
-                    plan_id,
-                    exc_info=True,
-                )
-
-        storage = get_shared_storage_service()
-        cover_key = f"covers/{plan_id}/cover_{uuid.uuid4().hex[:8]}.jpg"
-        storage.upload_file(
-            file_or_path=tmp_path,
-            storage_key=cover_key,
-            content_type="image/jpeg",
-        )
-        public_url = storage.get_url(cover_key)
-        return public_url or frame_url
-    except Exception:
-        logger.warning("封面帧转存失败，返回原始 URL: plan_id=%s", plan_id, exc_info=True)
-        return frame_url
-    finally:
-        if tmp_path:
-            Path(tmp_path).unlink(missing_ok=True)
-
-
-def _get_task_video_url(db: Session, task_id: str) -> Optional[str]:
-    """从 GenerationTask 关联的 GeneratedVideo 中获取视频 storage_key / URL."""
-    try:
-        video_repo = get_generated_video_repository(db)
-        use_case = ListGeneratedVideosByTaskUseCase(video_repo)
-        videos = use_case.execute(task_id)
-        if videos:
-            return getattr(videos[0], "file_url", "") or ""
-    except Exception:
-        logger.warning("[封面生成] 获取任务视频失败: task_id=%s", task_id, exc_info=True)
-    return None
-
-
-def _resolve_storage_key_to_url(storage_key: str) -> Optional[str]:
-    """将 storage_key 或完整 URL 转换为可访问的裸 URL。"""
-    if not storage_key:
-        return None
-    try:
-        if storage_key.startswith("http"):
-            url = storage_key
-        else:
-            storage_svc = get_shared_storage_service()
-            url = storage_svc.get_url(storage_key)
-        if url:
-            url = re.sub(r"(?<!:)//", "/", url)
-        return url
-    except Exception as e:
-        logger.warning("[封面生成] storage_key 转 URL 失败: key=%s err=%s", storage_key, e)
-        return None
-
-
-def _endpoint_host(value: str) -> str:
-    """从 endpoint / URL 字符串中安全提取主机名（兼容有无 scheme 两种配置）。"""
-    v = (value or "").strip().lower()
-    if not v:
-        return ""
-    if "://" in v:
-        return (urlparse(v).hostname or "").lower()
-    # 无 scheme：去掉可能的端口（host:port），urlparse 补 // 以正确解析
-    return (urlparse("//" + v).hostname or "").lower()
-
-
-def _is_private_or_reserved_host(host: str) -> bool:
-    """判断主机名是否为内网/回环/链路本地/保留地址（IPv4 与 IPv6 统一处理）。
-
-    使用标准库 ipaddress 判定；非 IP 主机名（如 localhost）单独处理。
-    """
-    h = host.strip().lower()
-    if h in {"localhost", "0.0.0.0", "::", "::1"}:
-        return True
-    try:
-        addr = ipaddress.ip_address(h)
-        # is_private 覆盖 10/8、172.16/12、192.168/16、127/8、169.254/16、
-        # ::1、fc00::/7、fe80::/10 等全部私有/保留段
-        return bool(addr.is_private or addr.is_loopback or addr.is_link_local or addr.is_reserved)
-    except ValueError:
-        return False
-
-
-def _is_trusted_media_url(url: str) -> bool:
-    """校验 URL 是否指向受信任的存储域名（OSS bucket / 本地存储），防止 SSRF。
-
-    用户可通过 video_url 传入视频地址，但服务端（MediaKit）会主动请求该 URL，
-    因此必须限制为自家存储域名，拒绝内网地址、元数据地址等任意主机。
-    """
-    if not url:
-        return False
-    try:
-        parsed = urlparse(url.strip())
-        if parsed.scheme not in ("http", "https"):
-            return False
-        host = (parsed.hostname or "").lower()
-        if not host:
-            return False
-        # 拒绝一切内网/回环/链路本地/保留地址（IPv4 + IPv6，标准库判定）
-        if _is_private_or_reserved_host(host):
-            return False
-        # 允许：自家 OSS bucket 域名（<bucket>.<endpoint>）或 endpoint 自身及其子域
-        try:
-            storage_svc = get_shared_storage_service()
-            trusted_hosts = set()
-            public_base = getattr(storage_svc, "public_url", "") or ""
-            h1 = _endpoint_host(public_base)
-            if h1:
-                trusted_hosts.add(h1)
-            h2 = _endpoint_host(getattr(storage_svc, "endpoint", "") or "")
-            if h2:
-                trusted_hosts.add(h2)
-            for trusted in trusted_hosts:
-                if host == trusted or host.endswith("." + trusted):
-                    return True
-        except Exception:
-            logger.warning("[封面生成] 存储域名白名单初始化失败，URL 校验从严拒绝", exc_info=True)
-            return False
-        return False
-    except Exception:
-        logger.warning("[封面生成] video_url 白名单校验异常，从严拒绝: url=%s", url[:80], exc_info=True)
-        return False
-
-
-@router.post("/generate-cover", response_model=GenerateCoverResponse)
-def generate_cover(
-    body: GenerateCoverRequest,
-    template_id: str = Query(..., description="模板 ID"),
-    plan_id: str = Depends(get_draft_plan_id),
-    services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
-    db: Session = Depends(get_db_session),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-) -> GenerateCoverResponse:
-    """AI 生成封面 — 优先从最终成片视频中抽帧，回退到预览片段.
-
-    流程（串行）：
-    1. 优先使用前端传入的 generation_task_id 定位最终成片任务，
-       或自动查找 plan 关联的已完成最终成片任务（is_preview=False）
-    2. 回退：从预览片段获取视频 URL（兼容旧流程）
-    3. 用裸 URL 让 MediaKit 下载视频并抽帧
-    4. 帧图下载后上传到 OSS covers/ 路径
-
-    MediaKit 的调用方式（strategy / max_frames / 轮询 / 重试 / 降级）不变。
-    """
-    _, plan_svc = services
-    plan = plan_svc.get_plan_or_raise(plan_id)
-
-    # ── upload 类型：直接保存前端上传的封面图片，不需要预览视频 ──────
-    if body.cover_type == "upload":
-        if not body.cover_url:
-            raise HTTPException(
-                status_code=400,
-                detail="cover_type=upload 时必须提供 cover_url",
-            )
-        cover_data = {
-            "type": "upload",
-            "image_url": body.cover_url,
-        }
-        current_config = dict(plan.config) if plan.config else {}
-        current_config["cover"] = cover_data
-        normalized = normalize_plan_config(current_config)
-        plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
-        logger.info(
-            "封面上传完成: plan_id=%s cover_url=%s by user=%s",
-            plan_id,
-            body.cover_url[:80] if body.cover_url else "",
-            current_user.user.id,
-        )
-        return GenerateCoverResponse(plan_id=plan_id, cover=cover_data)
-
-    # ── 查找用于抽帧的视频 URL ────────────────────────────────────────
-    # 优先级：
-    #   0. 请求体显式传入的 generation_task_id（最终成片任务）
-    #   1. plan.config.rendered_storage_key
-    #   2. plan.config.generation_task_id 对应的任务
-    #   3. source_edit_plan_id 关联的已完成「最终成片」任务（is_preview=False）
-    #   4. source_edit_plan_id 关联的已完成预览任务（is_preview=True，兼容回退）
-    #   5. user + template 最近的已完成预览任务（兜底）
-    logger.info("[封面生成] 步骤1: 从 plan.config 查找 rendered_storage_key: plan_id=%s", plan_id)
-    rendered_storage_key = (plan.config or {}).get("rendered_storage_key", "")
-
-    # 步骤 0：请求体传入最终视频标识（generated_video_id 或 video_url）
-    if not rendered_storage_key:
-        # 0a：通过 generated_video_id 查找最终成片视频
-        if body.generated_video_id:
-            logger.info(
-                "[封面生成] 步骤0a: 使用 generated_video_id: plan_id=%s video_id=%s",
-                plan_id,
-                body.generated_video_id,
-            )
-            try:
-                gv_repo = get_generated_video_repository(db)
-                gv = gv_repo.get(body.generated_video_id)
-                if gv:
-                    file_url = getattr(gv, "file_url", "") or ""
-                    if file_url:
-                        # 权限校验（双重，任何一层确认归属不符即拒绝）：
-                        # 1) GeneratedVideo.user_id 直接归属（老数据可能为空，为空时不据此放行）
-                        gv_owner = (getattr(gv, "user_id", "") or "").strip()
-                        if gv_owner and gv_owner != current_user.user.id:
-                            raise HTTPException(status_code=403, detail="无权访问该视频")
-                        # 2) 关联 generation_task 归属校验；关联任务缺失时不可静默放行：
-                        #    若 video 自身无 owner 信息且关联任务也查不到，拒绝访问
-                        gv_task_id = getattr(gv, "generation_task_id", "") or ""
-                        task0 = None
-                        if gv_task_id:
-                            try:
-                                task0 = SQLAlchemyGenerationTaskRepository(db).get(gv_task_id)
-                            except Exception:
-                                logger.warning(
-                                    "[封面生成] 步骤0a关联任务查询异常: plan_id=%s task_id=%s",
-                                    plan_id,
-                                    gv_task_id,
-                                    exc_info=True,
-                                )
-                        if task0 is not None:
-                            task_owner = (getattr(task0, "created_by_user_id", "") or "").strip()
-                            if task_owner and task_owner != current_user.user.id:
-                                raise HTTPException(status_code=403, detail="无权访问该视频")
-                        elif not gv_owner:
-                            # video 无 owner 且关联任务不存在/无法确认归属 → 拒绝，防止越权
-                            logger.warning(
-                                "[封面生成] 步骤0a视频归属无法确认，拒绝访问: plan_id=%s video_id=%s",
-                                plan_id,
-                                body.generated_video_id,
-                            )
-                            raise HTTPException(status_code=403, detail="无权访问该视频")
-                        rendered_storage_key = file_url
-                        logger.info(
-                            "[封面生成] ✅ 步骤0a找到最终成片: plan_id=%s video_id=%s url=%s",
-                            plan_id,
-                            body.generated_video_id,
-                            file_url[:80],
-                        )
-            except HTTPException:
-                raise
-            except Exception:
-                logger.warning(
-                    "[封面生成] 步骤0a查找视频失败: plan_id=%s video_id=%s",
-                    plan_id,
-                    body.generated_video_id,
-                    exc_info=True,
-                )
-
-        # 0b：直接使用 video_url（兜底）— 必须通过存储域名白名单校验，防止 SSRF
-        if not rendered_storage_key and body.video_url:
-            if _is_trusted_media_url(body.video_url):
-                logger.info(
-                    "[封面生成] 步骤0b: 使用请求体传入的 video_url(白名单通过): plan_id=%s url=%s",
-                    plan_id,
-                    body.video_url[:80],
-                )
-                rendered_storage_key = body.video_url
-            else:
-                logger.warning(
-                    "[封面生成] 步骤0b: video_url 不在受信任存储域名白名单内，已忽略: plan_id=%s url=%s",
-                    plan_id,
-                    body.video_url[:80],
-                )
-
-    # 步骤 2：通过 plan.config.generation_task_id 查找
-    if not rendered_storage_key:
-        generation_task_id = (plan.config or {}).get("generation_task_id", "")
-        if generation_task_id:
-            logger.info(
-                "[封面生成] 步骤2: 通过 plan.config.generation_task_id 查找: plan_id=%s task_id=%s",
-                plan_id,
-                generation_task_id,
-            )
-            try:
-                _repo = SQLAlchemyGenerationTaskRepository(db)
-                task = _repo.get(generation_task_id)
-                if task:
-                    rendered_storage_key = _get_task_video_url(db, task.id) or ""
-                    if rendered_storage_key:
-                        logger.info(
-                            "[封面生成] ✅ 步骤2找到视频: plan_id=%s task_id=%s url=%s",
-                            plan_id,
-                            generation_task_id,
-                            rendered_storage_key[:80],
-                        )
-            except Exception:
-                logger.warning(
-                    "[封面生成] 步骤2查找失败: plan_id=%s",
-                    plan_id,
-                    exc_info=True,
-                )
-
-    # 步骤 3：通过 source_edit_plan_id 查找已完成「最终成片」任务（is_preview=False）
-    if not rendered_storage_key:
-        try:
-            _repo = SQLAlchemyGenerationTaskRepository(db)
-            logger.info("[封面生成] 步骤3: 查找最终成片任务(is_preview=False): plan_id=%s", plan_id)
-            all_tasks = _repo.list_by_source_edit_plan(plan_id)
-            for pt in all_tasks:
-                if getattr(pt, "status", "") == "completed" and not getattr(pt, "is_preview", False):
-                    rendered_storage_key = _get_task_video_url(db, pt.id) or ""
-                    if rendered_storage_key:
-                        logger.info(
-                            "[封面生成] ✅ 步骤3找到最终成片: plan_id=%s task_id=%s url=%s",
-                            plan_id,
-                            pt.id,
-                            rendered_storage_key[:80],
-                        )
-                        break
-        except Exception:
-            logger.warning(
-                "[封面生成] 步骤3查找最终成片失败: plan_id=%s",
-                plan_id,
-                exc_info=True,
-            )
-
-    # 步骤 4：兼容回退 — 通过 source_edit_plan_id 查找已完成预览任务
-    if not rendered_storage_key:
-        try:
-            _repo = SQLAlchemyGenerationTaskRepository(db)
-            logger.info("[封面生成] 步骤4: 回退查找预览任务(is_preview=True): plan_id=%s", plan_id)
-            preview_tasks = _repo.list_by_source_edit_plan(plan_id)
-            for pt in preview_tasks:
-                if getattr(pt, "status", "") == "completed" and getattr(pt, "is_preview", False):
-                    rendered_storage_key = _get_task_video_url(db, pt.id) or ""
-                    if rendered_storage_key:
-                        logger.info(
-                            "[封面生成] ✅ 步骤4找到预览视频: plan_id=%s task_id=%s url=%s",
-                            plan_id,
-                            pt.id,
-                            rendered_storage_key[:80],
-                        )
-                        break
-        except Exception:
-            logger.warning(
-                "[封面生成] 步骤4查找预览任务失败: plan_id=%s",
-                plan_id,
-                exc_info=True,
-            )
-
-    # 步骤 5：按 user + template 查找最近的已完成预览任务（兜底）
-    if not rendered_storage_key:
-        try:
-            _repo = SQLAlchemyGenerationTaskRepository(db)
-            logger.info(
-                "[封面生成] 步骤5: 通过 user+template 查找预览任务: plan_id=%s template_id=%s",
-                plan_id,
-                template_id,
-            )
-            preview_tasks = _repo.list_latest_completed_preview(
-                user_id=str(current_user.user.id),
-                template_id=template_id,
-            )
-            if preview_tasks:
-                rendered_storage_key = _get_task_video_url(db, preview_tasks[0].id) or ""
-                if rendered_storage_key:
-                    logger.info(
-                        "[封面生成] ✅ 步骤5找到预览视频: plan_id=%s task_id=%s",
-                        plan_id,
-                        preview_tasks[0].id,
-                    )
-        except Exception:
-            logger.warning(
-                "[封面生成] 步骤5 user+template 查找失败: plan_id=%s",
-                plan_id,
-                exc_info=True,
-            )
-
-    # 将 storage_key 转换为可访问 URL；找不到视频时不立即报错，
-    # 因为步骤 E2 可以直接从源素材抽帧（历史数据或 Worker 抽帧失败时的兜底）
-    primary_video_url = None
-    if rendered_storage_key:
-        plan_svc.update_plan_config(plan_id, {"rendered_storage_key": rendered_storage_key})
-        primary_video_url = _resolve_storage_key_to_url(rendered_storage_key)
-        logger.info(
-            "[封面生成] 封面抽帧视频URL: plan_id=%s url=%s",
-            plan_id,
-            primary_video_url[:80] if primary_video_url else "",
-        )
-
-    # 统一封面管道：优先从 GenerationTask.cover_url 读取渲染后视频抽帧的封面
-    # 多步查找 cover_url，和查找视频 URL 一样的 fallback 逻辑
-    if body.cover_type in ("ai_frame", "ai_regenerate"):
-        cover_url_from_task = None
-        gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
-
-        # 步骤 A：通过 generation_task_id 直接查找
-        generation_task_id = (plan.config or {}).get("generation_task_id", "")
-        if generation_task_id:
-            try:
-                task = gen_task_repo.get(generation_task_id)
-                if task and getattr(task, "cover_url", ""):  # type: ignore[arg-type]
-                    cover_url_from_task = task.cover_url
-                    logger.info(
-                        "[封面生成] 统一管道封面(步骤A-direct): plan_id=%s task_id=%s url=%s",
-                        plan_id,
-                        generation_task_id,
-                        cover_url_from_task[:80],
-                    )
-            except Exception:
-                logger.warning(
-                    "[封面生成] 步骤A读取 cover_url 失败: plan_id=%s task_id=%s",
-                    plan_id,
-                    generation_task_id,
-                    exc_info=True,
-                )
-
-        # 步骤 A2：通过 generated_video_id 查找其关联任务的 cover_url
-        if not cover_url_from_task and body.generated_video_id:
-            try:
-                gv_repo = get_generated_video_repository(db)
-                gv = gv_repo.get(body.generated_video_id)
-                if gv:
-                    gv_task_id = getattr(gv, "generation_task_id", "") or ""
-                    if gv_task_id:
-                        task_a2 = gen_task_repo.get(gv_task_id)
-                        if task_a2 and getattr(task_a2, "cover_url", ""):  # type: ignore[arg-type]
-                            cover_url_from_task = task_a2.cover_url
-                            logger.info(
-                                "[封面生成] 封面(步骤A2-video-task): plan_id=%s video_id=%s url=%s",
-                                plan_id,
-                                body.generated_video_id,
-                                cover_url_from_task[:80],
-                            )
-            except Exception:
-                logger.warning(
-                    "[封面生成] 步骤A2读取 cover_url 失败: plan_id=%s video_id=%s",
-                    plan_id,
-                    body.generated_video_id,
-                    exc_info=True,
-                )
-
-        # 步骤 B：通过 source_edit_plan_id 查找关联任务的 cover_url
-        # 优先最终成片任务(is_preview=False)，其次预览任务
-        if not cover_url_from_task:
-            try:
-                all_tasks = gen_task_repo.list_by_source_edit_plan(plan_id)
-                # 先找最终成片
-                for pt in all_tasks:
-                    if (
-                        getattr(pt, "status", "") == "completed"
-                        and not getattr(pt, "is_preview", False)
-                        and getattr(pt, "cover_url", "")
-                    ):
-                        cover_url_from_task = pt.cover_url
-                        logger.info(
-                            "[封面生成] 封面(步骤B-final): plan_id=%s task_id=%s url=%s",
-                            plan_id,
-                            pt.id,
-                            cover_url_from_task[:80],
-                        )
-                        break
-                # 再找预览
-                if not cover_url_from_task:
-                    for pt in all_tasks:
-                        if (
-                            getattr(pt, "status", "") == "completed"
-                            and getattr(pt, "is_preview", False)
-                            and getattr(pt, "cover_url", "")
-                        ):
-                            cover_url_from_task = pt.cover_url
-                            logger.info(
-                                "[封面生成] 封面(步骤B-preview): plan_id=%s task_id=%s url=%s",
-                                plan_id,
-                                pt.id,
-                                cover_url_from_task[:80],
-                            )
-                            break
-            except Exception:
-                logger.warning(
-                    "[封面生成] 步骤B查找 cover_url 失败: plan_id=%s",
-                    plan_id,
-                    exc_info=True,
-                )
-
-        # 步骤 C：通过 user+template 查找最近的已完成预览任务的 cover_url
-        if not cover_url_from_task:
-            try:
-                preview_tasks = gen_task_repo.list_latest_completed_preview(
-                    user_id=str(current_user.user.id),
-                    template_id=template_id,
-                )
-                for pt in preview_tasks:
-                    if getattr(pt, "cover_url", ""):
-                        cover_url_from_task = pt.cover_url
-                        logger.info(
-                            "[封面生成] 统一管道封面(步骤C-user+template): plan_id=%s task_id=%s url=%s",
-                            plan_id,
-                            pt.id,
-                            cover_url_from_task[:80],
-                        )
-                        break
-            except Exception:
-                logger.warning(
-                    "[封面生成] 步骤C查找 cover_url 失败: plan_id=%s template_id=%s",
-                    plan_id,
-                    template_id,
-                    exc_info=True,
-                )
-
-        # 步骤 D：从 plan.config.cover_candidates 读取（Worker 渲染时写入）
-        if not cover_url_from_task:
-            _candidates = (plan.config or {}).get("cover_candidates") or []
-            if isinstance(_candidates, list) and _candidates:
-                _first = _candidates[0]
-                if isinstance(_first, dict):
-                    cover_url_from_task = _first.get("image_url") or _first.get("url") or ""
-                    if cover_url_from_task:
-                        logger.info(
-                            "[封面生成] 统一管道封面(步骤D-cover_candidates): plan_id=%s url=%s",
-                            plan_id,
-                            cover_url_from_task[:80],
-                        )
-
-        # 步骤 E1：如果有已渲染的预览视频 URL 但 cover_url 未持久化（历史数据），
-        # 直接从渲染视频抽帧
-        if not cover_url_from_task and primary_video_url:
-            try:
-                from packages.shared.mediakit_client import get_mediakit_client
-
-                mk_client = get_mediakit_client()
-                if mk_client.is_available:
-                    logger.info(
-                        "[封面生成] 步骤E1-从渲染视频抽帧: plan_id=%s url=%s",
-                        plan_id,
-                        primary_video_url[:80],
-                    )
-                    snapshots = mk_client.extract_frames(
-                        video_url=primary_video_url,
-                        strategy="SpecifiedFrames",
-                        max_frames=5,  # 抽 5 帧，通过质量评分选最佳
-                        poll_interval=2.0,
-                        max_poll_attempts=5,
-                        max_retries=0,
-                    )
-                    if snapshots:
-                        raw = _select_best_frame_from_snapshots(snapshots, plan_id)
-                        if raw:
-                            cover_url_from_task = _persist_cover_frame(raw, plan_id)
-                            logger.info(
-                                "[封面生成] 统一管道封面(步骤E1-rendered-video): plan_id=%s url=%s",
-                                plan_id,
-                                cover_url_from_task[:80],
-                            )
-            except Exception:
-                logger.warning(
-                    "[封面生成] 步骤E1从渲染视频抽帧失败: plan_id=%s",
-                    plan_id,
-                    exc_info=True,
-                )
-
-        # 步骤 E2：当 A/B/C/D/E1 均未命中（如历史预览任务无 cover_url）时，
-        # 直接从用户选择的第一个视频素材中抽取封面帧作为兜底。API 请求内短超时，不阻塞。
-        if not cover_url_from_task and body.asset_ids:
-            from packages.adapters.sqlalchemy_impl.asset_repository import (
-                SQLAlchemyAssetRepository,
-            )
-            from packages.shared.mediakit_client import get_mediakit_client
-            from packages.shared.storage import get_shared_storage_service
-
-            asset_repo = SQLAlchemyAssetRepository(db)
-            storage_svc = get_shared_storage_service()
-            mk_client = get_mediakit_client()
-            # 从 plan.config 读取完整标题样式，E2 从源素材抽帧时叠加（源素材本身无标题）
-            _e2_title_cfg = (plan.config or {}).get("title", {}) or {}
-            if not isinstance(_e2_title_cfg, dict):
-                _e2_title_cfg = {}
-            _e2_title_text = (_e2_title_cfg.get("text", "") or "").strip() if _e2_title_cfg.get("enabled", True) else ""
-            # 读取标题样式：前端可能传 color 或 font_color，都兼容
-            _e2_title_color = _e2_title_cfg.get("color") or _e2_title_cfg.get("font_color") or "#ffffff"
-            _e2_title_position = _e2_title_cfg.get("position", "bottom") or "bottom"
-            _e2_title_font_size = _e2_title_cfg.get("font_size") or _e2_title_cfg.get("size")
-            if mk_client.is_available:
-                for aid in body.asset_ids:
-                    try:
-                        asset = asset_repo.get(aid)
-                        if not asset or asset.file_type != "video":
-                            continue
-                        sk = asset.storage_key or ""
-                        if not sk:
-                            continue
-                        src_url = sk if sk.startswith("http") else storage_svc.get_url(sk)
-                        if not src_url:
-                            continue
-                        logger.info(
-                            "[封面生成] 步骤E-从素材抽帧: plan_id=%s asset_id=%s url=%s",
-                            plan_id,
-                            aid,
-                            src_url[:80],
-                        )
-                        snapshots = mk_client.extract_frames(
-                            video_url=src_url,
-                            strategy="SpecifiedFrames",
-                            max_frames=5,  # 抽 5 帧，通过质量评分选最佳
-                            poll_interval=2.0,
-                            max_poll_attempts=5,
-                            max_retries=0,
-                        )
-                        if snapshots:
-                            raw = _select_best_frame_from_snapshots(snapshots, plan_id)
-                            if raw:
-                                cover_url_from_task = _persist_cover_frame(
-                                    raw,
-                                    plan_id,
-                                    title_text=_e2_title_text,
-                                    title_color=_e2_title_color,
-                                    title_position=_e2_title_position,
-                                    title_font_size=_e2_title_font_size,
-                                )
-                                logger.info(
-                                    "[封面生成] 统一管道封面(步骤E-source-asset): plan_id=%s url=%s",
-                                    plan_id,
-                                    cover_url_from_task[:80],
-                                )
-                                break
-                    except Exception:
-                        logger.warning(
-                            "[封面生成] 步骤E从素材抽帧失败: plan_id=%s asset_id=%s",
-                            plan_id,
-                            aid,
-                            exc_info=True,
-                        )
-
-        if cover_url_from_task:
-            # 标题已在预览视频渲染时烧录（ASS字幕），封面帧自然包含标题
-            cover_data: dict[str, object] = {  # type: ignore[no-redef]
-                "type": "ai_frame",
-                "image_url": cover_url_from_task,
-                "frame_time": 0.0,
-                "confidence": 0.95,
-            }
-            current_config = dict(plan.config) if plan.config else {}
-            current_config["cover"] = cover_data
-            normalized = normalize_plan_config(current_config)
-            plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
-            return GenerateCoverResponse(plan_id=plan_id, cover=cover_data)
-
-        logger.warning(
-            "[封面生成] 统一管道未找到 cover_url (A/B/C/D均未命中): plan_id=%s",
-            plan_id,
-        )
-        # ai_frame/ai_regenerate 类型必须从渲染管道获取，不再回退到 AI 服务
-        raise HTTPException(
-            status_code=400,
-            detail="封面生成失败：未找到可抽帧的视频素材，请确认已上传视频素材后重试",
-        )
-
-    from packages.shared.ai_service import run_generate_cover
-
-    try:
-        logger.info("[封面生成] 开始调用 AI 封面生成服务: plan_id=%s", plan_id)
-        cover_data = run_generate_cover(
-            plan_id=plan_id,
-            asset_ids=body.asset_ids,
-            cover_type=body.cover_type,
-            frame_time=body.frame_time,
-            primary_video_url=primary_video_url,
-        )
-    except RuntimeError as e:
-        raise HTTPException(status_code=500, detail=str(e)) from e
-
-    current_config = dict(plan.config) if plan.config else {}
-    current_config["cover"] = cover_data
-    normalized = normalize_plan_config(current_config)
-    plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
-
-    logger.info(
-        "封面生成完成: template_id=%s plan_id=%s type=%s by user=%s",
-        template_id,
-        plan_id,
-        body.cover_type,
-        current_user.user.id,
-    )
-
-    return GenerateCoverResponse(plan_id=plan_id, cover=cover_data)
@@ -1,658 +0,0 @@
-"""预览生成路由 — Phase 1：单版本预览接口（创建 + 查询）。
-
-路径前缀：/api/v1/generation/preview（与 /generation/tasks 同体系）
-"""
-
-from __future__ import annotations
-
-import logging
-
-from app.auth import AuthenticatedUser, get_current_user
-from app.core.storage import get_storage_service
-from app.core.task_enqueue import (
-    GLOBAL_PENDING_LIMIT,
-    USER_PENDING_LIMIT,
-    GlobalQueueFull,
-    UserPendingLimitExceeded,
-    build_rate_limit_detail,
-    safe_enqueue_generation_task,
-)
-from app.dependencies import (
-    get_asset_repository,
-    get_db_session,
-    get_generated_video_repository,
-    get_generation_task_repository,
-)
-from app.schemas.generation_task import (
-    BatchPreviewGenerationTaskResponse,
-    CreatePreviewGenerationTaskRequest,
-    PreviewGenerationTaskResponse,
-)
-from fastapi import APIRouter, Depends, HTTPException
-from sqlalchemy.orm import Session
-
-from packages.adapters.sqlalchemy_impl.edit_template_repository import (
-    SQLAlchemyEditTemplateRepository,
-)
-from packages.adapters.sqlalchemy_impl.template_repository import (
-    SQLAlchemyTemplateRepository,
-)
-from packages.application import (
-    CreateGenerationTaskCommand,
-    CreateGenerationTaskUseCase,
-    GetGenerationTaskUseCase,
-    ListGeneratedVideosByTaskUseCase,
-)
-
-logger = logging.getLogger(__name__)
-
-router = APIRouter()
-
-
-# 模板 mode → 视频比例映射
-_TEMPLATE_MODE_TO_RATIO = {
-    "pip": "9:16",
-    "standard": "16:9",
-    "square": "1:1",
-}
-
-
-def _infer_video_ratio_from_template(template_id: str, db: Session, user_id: str = "") -> str:
-    """从模板 mode 推断视频比例，前端未传 video_ratio 时使用。
-
-    Returns:
-        视频比例字符串（如 "9:16"），查询失败返回空字符串。
-    """
-    if not template_id:
-        return ""
-    try:
-        repo = SQLAlchemyTemplateRepository(db)
-        template = repo.get(template_id, user_id)
-        if template:
-            mode = getattr(template, "mode", "") or ""
-            ratio = _TEMPLATE_MODE_TO_RATIO.get(mode.strip(), "")
-            if ratio:
-                logger.info(
-                    "[预览生成] 从模板 mode=%s 推断 video_ratio=%s",
-                    mode,
-                    ratio,
-                )
-            return ratio
-    except Exception:
-        logger.warning(
-            "[预览生成] 查询模板失败，跳过 video_ratio 推断: template_id=%s",
-            template_id,
-            exc_info=True,
-        )
-    return ""
-
-
-def _resolve_strategy_id_from_template(template_id: str, db: Session, user_id: str = "") -> str:
-    """从模板读取 editing_mode / mode 作为 strategy_id。
-
-    优先查新模板系统（EditTemplate.editing_mode），fallback 旧模板（Template.mode）。
-    Worker 端使用 strategy_id 作为渲染 mode，为空则默认 one_take。
-    """
-    if not template_id:
-        return ""
-
-    # 优先查新模板系统
-    try:
-        new_repo = SQLAlchemyEditTemplateRepository(db)
-        new_template = new_repo.get(template_id)
-        if new_template and getattr(new_template, "editing_mode", ""):  # type: ignore[arg-type]
-            mode = new_template.editing_mode.strip()
-            if mode:
-                logger.info(
-                    "[预览生成] 从新模板 editing_mode=%s (template_id=%s)",
-                    mode,
-                    template_id,
-                )
-                # 画中画已下线，pip/voice_pip 统一映射为 one_take
-                if mode in ("pip", "voice_pip"):
-                    logger.info("[预览生成] %s → one_take (画中画已下线)", mode)
-                    mode = "one_take"
-                return mode
-    except Exception:
-        logger.debug(
-            "[预览生成] 新模板查询失败，尝试旧模板: template_id=%s",
-            template_id,
-            exc_info=True,
-        )
-
-    # fallback 旧模板系统
-    try:
-        old_repo = SQLAlchemyTemplateRepository(db)
-        old_template = old_repo.get(template_id, user_id)
-        if old_template:
-            mode = getattr(old_template, "mode", "") or ""
-            mode = mode.strip()
-            if mode:
-                logger.info(
-                    "[预览生成] 从旧模板 mode=%s (template_id=%s)",
-                    mode,
-                    template_id,
-                )
-                # 画中画已下线，pip/voice_pip 统一映射为 one_take
-                if mode in ("pip", "voice_pip"):
-                    logger.info("[预览生成] %s → one_take (画中画已下线)", mode)
-                    mode = "one_take"
-                return mode
-    except Exception:
-        logger.warning(
-            "[预览生成] 旧模板查询也失败，strategy_id 留空: template_id=%s",
-            template_id,
-            exc_info=True,
-        )
-
-    return ""
-
-
-def _mark_task_failed(repo, task, reason: str) -> None:
-    """入队失败时将任务标记为 failed，避免产生僵尸 pending 数据。"""
-    try:
-        task.mark_failed(error_message=f"入队失败：{reason}")
-        repo.update(task)
-    except Exception:
-        logger.exception("[预览生成] 标记任务失败时异常: task_id=%s", task.id)
-
-
-def _to_preview_response(task, generated_videos: list | None = None) -> PreviewGenerationTaskResponse:
-    """将领域任务对象转换为预览响应 DTO。
-
-    Args:
-        task: GenerationTask 领域对象
-        generated_videos: 生成的视频列表（可选），取第一个作为 video_url
-
-    Returns:
-        PreviewGenerationTaskResponse
-    """
-    video_url = ""
-    duration = 0.0
-    file_size = 0
-    if generated_videos:
-        first_video = generated_videos[0]
-        raw_url = getattr(first_video, "file_url", "") or ""
-        # rendered/* 已配置公开读，直接用裸 URL
-        if raw_url.startswith("http"):
-            video_url = raw_url
-        else:
-            storage = get_storage_service()
-            video_url = storage.get_url(raw_url)
-        duration = float(getattr(first_video, "duration", 0.0) or 0.0)
-        file_size = int(getattr(first_video, "file_size", 0) or 0)
-
-    # 从 extra_meta / metadata 中提取统计信息（如果有）
-    extra_meta = getattr(task, "extra_meta", {}) or {}
-    clip_count = int(extra_meta.get("clip_count", len(getattr(task, "asset_ids", [])) or 0))
-    transition_count = int(extra_meta.get("transition_count", max(0, clip_count - 1)))
-    material_usage = extra_meta.get("material_usage", {}) or {}
-
-    # 计算生成耗时
-    generate_duration = 0.0
-    started_at = getattr(task, "started_at", None)
-    completed_at = getattr(task, "completed_at", None)
-    if started_at and completed_at:
-        generate_duration = (completed_at - started_at).total_seconds()
-
-    title_cfg = getattr(task, "title_config", None)
-    title_cfg = title_cfg if isinstance(title_cfg, dict) else {}
-    extra_meta = getattr(task, "extra_meta", None)
-    extra_meta = extra_meta if isinstance(extra_meta, dict) else {}
-    voice_library_id = getattr(task, "voice_library_id", "") or ""
-    if not isinstance(voice_library_id, str):
-        voice_library_id = str(voice_library_id) if voice_library_id else ""
-    return PreviewGenerationTaskResponse(
-        task_id=task.id,
-        status=task.status.value if hasattr(task.status, "value") else str(task.status),
-        progress=float(task.progress or 0.0),
-        is_preview=bool(getattr(task, "is_preview", True)),
-        variant_index=int(extra_meta.get("variant_index", 0) or 0),
-        resolution=getattr(task, "resolution", "") or "",
-        video_url=video_url,
-        duration=duration,
-        file_size=file_size,
-        clip_count=clip_count,
-        transition_count=transition_count,
-        material_usage=material_usage,
-        error_message=task.error_message or "",
-        title_text=str(title_cfg.get("text", "") or ""),
-        voice_library_id=voice_library_id,
-        created_at=task.created_at,
-        started_at=started_at,
-        finished_at=completed_at,
-        generate_duration=generate_duration,
-    )
-
-
-def _resolve_preview_edit_plan_id(
-    *,
-    request: CreatePreviewGenerationTaskRequest,
-    task,
-    db: Session,
-    user_id: str,
-) -> str:
-    """确定任务关联的编辑计划ID：优先前端传入，否则按 template_id+user 兜底查找。"""
-    if task.source_edit_plan_id:
-        return task.source_edit_plan_id
-    if not request.template_id:
-        return ""
-    try:
-        from packages.adapters.sqlalchemy_impl.edit_plan_repository import (
-            SQLAlchemyEditPlanRepository,
-        )
-
-        _plan_repo = SQLAlchemyEditPlanRepository(db)
-        _plans = _plan_repo.list_by_template(request.template_id, limit=20)
-        for _p in _plans:
-            if (_p.created_by_user_id or "") == user_id:
-                logger.info(
-                    "[预览生成] 自动关联编辑计划: task_id=%s plan_id=%s",
-                    task.id,
-                    _p.id,
-                )
-                return _p.id
-    except Exception:
-        logger.warning(
-            "[预览生成] 查找关联编辑计划失败（不影响主流程）: task_id=%s",
-            task.id,
-            exc_info=True,
-        )
-    return ""
-
-
-def _variant_value(values: list[str], index: int, fallback: str = "") -> str:
-    """从变体数组中取值：长度1=共用，长度>N=按索引，空数组=回退 fallback。"""
-    if not values:
-        return fallback
-    if len(values) == 1:
-        return values[0]
-    return values[index] if index < len(values) else fallback
-
-
-@router.post("/preview", response_model=BatchPreviewGenerationTaskResponse, status_code=201)
-def create_preview_generation_task(
-    request: CreatePreviewGenerationTaskRequest,
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    generation_task_repository=Depends(get_generation_task_repository),
-    db: Session = Depends(get_db_session),
-    asset_repo=Depends(get_asset_repository),
-) -> BatchPreviewGenerationTaskResponse:
-    """创建预览生成任务（支持批量）。
-
-    preview_count=1 时行为与旧版完全一致（创建 1 个任务）；
-    preview_count=N 时一次创建 N 个独立变体任务：
-    - 每个变体克隆独立编辑计划（独立 clips、独立随机素材起点），N 个预览内容互不相同
-    - 每个变体拥有独立 task_id / 状态 / 预览视频 URL，前端按 task_id 分别轮询
-    - 标题样式（font/color/position 等）全局共用；标题文字/配音/封面可按变体独立
-      （titles[] / voice_library_ids[] / cover_urls[]，长度1=共用，长度N=独立）
-
-    Returns:
-        201 + 变体任务数组 {items: [...], total: N}
-    """
-    user_id = authenticated_user.user.id
-    count = max(1, request.preview_count)
-    logger.info(
-        "[预览生成] 接收请求: user_id=%s, template_id=%s, asset_count=%d, preview_count=%d",
-        user_id,
-        request.template_id,
-        len(request.asset_ids),
-        count,
-    )
-
-    # 预检查队列限流（按变体总数计）
-    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
-            )
-        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=build_rate_limit_detail(e, generation_task_repository, scope="user"),
-        ) from e
-    except GlobalQueueFull as e:
-        raise HTTPException(
-            status_code=503,
-            detail=build_rate_limit_detail(e, generation_task_repository, scope="global"),
-        ) from e
-
-    # 确定视频比例：优先前端传入，否则从模板 mode 推断
-    video_ratio = request.video_ratio or ""
-    if not video_ratio and request.template_id:
-        video_ratio = _infer_video_ratio_from_template(request.template_id, db, user_id)
-
-    # 根据 video_ratio 计算输出分辨率（默认竖屏 1080x1920）
-    output_width, output_height = 1080, 1920
-    if video_ratio:
-        parts = video_ratio.split(":")
-        if len(parts) == 2:
-            try:
-                w, h = int(parts[0]), int(parts[1])
-                base = 1920
-                if w < h:
-                    output_width = round(base * w / h)
-                    output_height = base
-                else:
-                    output_width = base
-                    output_height = round(base * h / w)
-                output_width = output_width - output_width % 2
-                output_height = output_height - output_height % 2
-            except (ValueError, ZeroDivisionError):
-                output_width, output_height = 1080, 1920
-    resolution = f"{output_width}x{output_height}"
-
-    logger.info(
-        "[预览生成] 分辨率: video_ratio=%s → %s (%dx%d)",
-        video_ratio,
-        resolution,
-        output_width,
-        output_height,
-    )
-
-    strategy_id = _resolve_strategy_id_from_template(request.template_id, db, user_id)
-    base_title_config = request.title_config or {}
-
-    use_case = CreateGenerationTaskUseCase(generation_task_repository)
-
-    # ── 预创建第一个任务，仅用于解析源编辑计划（不落库为最终任务）──
-    # 先创建一个临时任务拿到 task 对象上下文，实际 N 个任务在循环中统一创建；
-    # 为保持与旧版一致的源 plan 解析逻辑，先创建任务0、解析源 plan，
-    # 再预克隆 N 个变体 plan，最后重建任务关联。
-    # 简化实现：直接创建全部任务，plan 关联在创建后、入队前完成。
-
-    created_tasks: list = []
-    variant_plan_ids: list[str] = []  # 每个变体最终关联的 plan_id（按变体顺序）
-
-    try:
-        for variant_index in range(count):
-            # 变体独立标题文字：titles[] 覆盖 title_config.text
-            variant_title_text = _variant_value(request.titles, variant_index, "")
-            variant_title_config = dict(base_title_config)
-            if variant_title_text.strip():
-                variant_title_config["text"] = variant_title_text.strip()
-
-            # 变体独立配音
-            variant_voice_library_id = _variant_value(
-                request.voice_library_ids, variant_index, request.voice_library_id
-            )
-
-            task = use_case.execute(
-                CreateGenerationTaskCommand(
-                    project_id="",
-                    asset_library_id="",
-                    strategy_id=strategy_id,
-                    voice_library_id=variant_voice_library_id,
-                    template_id=request.template_id,
-                    asset_ids=list(request.asset_ids),
-                    title_ids=list(request.title_ids),
-                    created_by_user_id=user_id,
-                    source_edit_plan_id=request.source_edit_plan_id,
-                    asset_select_mode="",
-                    batch_id="",
-                    video_title=request.video_title,
-                    resolution=resolution,
-                    bgm_config=request.bgm_config or {},
-                    auto_retry_enabled=False,
-                    auto_retry_max=0,
-                    is_preview=True,
-                    title_config=variant_title_config,
-                    output_width=output_width,
-                    output_height=output_height,
-                )
-            )
-            task.extra_meta["variant_index"] = variant_index
-
-            # 解析源编辑计划（前端传入或按模板兜底查找）
-            source_plan_id = _resolve_preview_edit_plan_id(request=request, task=task, db=db, user_id=user_id)
-            task.source_edit_plan_id = source_plan_id
-            generation_task_repository.update(task)
-            created_tasks.append(task)
-    except ValueError as e:
-        logger.warning("[预览生成] 创建失败: %s", e)
-        raise HTTPException(status_code=400, detail=str(e)) from e
-    except Exception as e:
-        logger.error("[预览生成] 创建失败: %s", e, exc_info=True)
-        raise HTTPException(status_code=500, detail="创建预览生成任务失败，请稍后再试") from e
-
-    # ── 独立变体 plan（#1743）──
-    # count=1：克隆源 plan（预览不污染源 plan，仅起点重算），行为与旧版一致；
-    # count>1：变体 0 保留源 plan，变体 1..N-1 用 reselect_plan_for_variant 完整
-    #   重跑单视频选片（素材洗牌+镜头洗牌+起点随机+跨变体避让+批次 20% 重叠重选），
-    #   所见即所得——预览变体差异即正式成片差异。
-    source_plan_id = created_tasks[0].source_edit_plan_id if created_tasks else ""
-
-    # #1749：各变体配音解析（严格守卫已在 schema；此处取每变体 voice 查时长）+ 时长分配
-    def _preview_voice_durations() -> list[float]:
-        try:
-            from packages.domain.variant_voice_resolver import resolve_variant_voice_ids
-
-            voices = resolve_variant_voice_ids(
-                count=count,
-                voice_library_id=request.voice_library_id,
-                voice_library_ids=request.voice_library_ids or None,
-            )
-        except Exception:
-            logger.warning("[预览生成] 配音解析失败（按无配音处理）", exc_info=True)
-            return [0.0] * count
-        try:
-            from app.api.routes.generation_tasks import _query_voice_durations
-
-            return _query_voice_durations(db, voices)
-        except Exception:
-            return [0.0] * count
-
-    voice_durations = _preview_voice_durations()
-
-    if source_plan_id and count == 1:
-        # 单预览：克隆一份（原逻辑）+ 配音时长分配
-        try:
-            from app.services.edit_plan_service import EditPlanService
-
-            _plan_svc = EditPlanService(db)
-            variant_plan = _plan_svc.clone_plan_for_variant(
-                source_plan_id,
-                created_by_user_id=user_id,
-                name_suffix="预览变体",
-            )
-            if voice_durations and voice_durations[0] > 0:
-                try:
-                    _plan_svc.apply_voice_duration_to_plan(variant_plan.id, voice_durations[0])
-                except Exception:
-                    logger.exception("[预览生成] 变体0 配音分配失败（不阻断）: plan=%s", variant_plan.id)
-            variant_plan_ids.append(variant_plan.id)
-        except Exception as e:
-            logger.error("[预览生成] 克隆预览 plan 异常: %s", e, exc_info=True)
-            for t in created_tasks:
-                _mark_task_failed(generation_task_repository, t, "预览计划创建失败")
-            raise HTTPException(
-                status_code=500,
-                detail="创建预览任务失败：无法生成独立剪辑计划，请重试",
-            ) from e
-    elif source_plan_id and count > 1:
-        try:
-            from app.services.edit_plan_service import EditPlanService
-
-            _plan_svc = EditPlanService(db)
-            # #1749：变体 0 也 clone（不污染源 plan）+ 配音分配；变体 1..N-1 独立选片
-            _plan0 = _plan_svc.clone_plan_for_variant(
-                source_plan_id,
-                created_by_user_id=user_id,
-                name_suffix="预览变体1",
-            )
-            if voice_durations and voice_durations[0] > 0:
-                try:
-                    _plan_svc.apply_voice_duration_to_plan(_plan0.id, voice_durations[0])
-                except Exception:
-                    logger.exception("[预览生成] 变体0 配音分配失败（不阻断）: plan=%s", _plan0.id)
-            variant_plan_ids.append(_plan0.id)
-            batch_asset_pool = list(dict.fromkeys(request.asset_ids or []))
-            for variant_index in range(1, count):
-                last_err: Exception | None = None
-                variant_plan = None
-                for _attempt in range(2):  # 1 次重试，抗 DB 瞬时抖动
-                    try:
-                        variant_plan = _plan_svc.reselect_plan_for_variant(
-                            source_plan_id,
-                            batch_asset_pool,
-                            created_by_user_id=user_id,
-                            name_suffix=f"预览变体{variant_index + 1}",
-                            voice_duration=(
-                                voice_durations[variant_index] if variant_index < len(voice_durations) else 0.0
-                            ),
-                        )
-                        break
-                    except ValueError as ve:
-                        logger.warning("[预览生成] 变体独立选片失败(素材不足): %s", ve)
-                        for t in created_tasks:
-                            _mark_task_failed(generation_task_repository, t, "预览变体选片失败")
-                        raise HTTPException(
-                            status_code=400,
-                            detail=f"批量预览第 {variant_index + 1} 个视频无法独立选片：{ve}。"
-                            "请增加素材库中的视频素材后重试。",
-                        ) from ve
-                    except Exception as reselection_err:  # noqa: PERF203
-                        last_err = reselection_err
-                        logger.warning(
-                            "[预览生成] 变体独立选片失败(尝试%d/2): variant=%d error=%s",
-                            _attempt + 1,
-                            variant_index,
-                            reselection_err,
-                            exc_info=True,
-                        )
-                if variant_plan is None:
-                    logger.error(
-                        "[预览生成] 变体独立选片重试仍失败: variant=%d source=%s",
-                        variant_index,
-                        source_plan_id,
-                        exc_info=last_err,
-                    )
-                    for t in created_tasks:
-                        _mark_task_failed(generation_task_repository, t, "预览变体计划创建失败")
-                    raise HTTPException(
-                        status_code=500,
-                        detail="创建预览任务失败：无法生成独立剪辑计划，请重试",
-                    ) from last_err
-                variant_plan_ids.append(variant_plan.id)
-        except HTTPException:
-            raise
-        except Exception as e:
-            logger.error("[预览生成] 变体 plan 生成异常: %s", e, exc_info=True)
-            for t in created_tasks:
-                _mark_task_failed(generation_task_repository, t, "预览变体计划创建失败")
-            raise HTTPException(
-                status_code=500,
-                detail="创建预览任务失败：无法生成独立剪辑计划，请重试",
-            ) from e
-
-    # 关联变体 plan 并回写标题配置
-    for variant_index, task in enumerate(created_tasks):
-        if variant_plan_ids:
-            task.source_edit_plan_id = variant_plan_ids[variant_index]
-            generation_task_repository.update(task)
-        # 回写变体标题到 plan config（worker 渲染时从 plan 读取 title 配置）
-        if task.source_edit_plan_id and (task.title_config or {}).get("text", "").strip():
-            try:
-                from app.api.routes.generation_tasks import _writeback_edit_plan_config
-
-                _writeback_edit_plan_config(
-                    plan_id=task.source_edit_plan_id,
-                    task_id=task.id,
-                    title_config=task.title_config,
-                    db=db,
-                )
-            except Exception:
-                logger.warning(
-                    "[预览生成] 回写标题配置失败（不影响主流程）: task_id=%s",
-                    task.id,
-                    exc_info=True,
-                )
-
-    # ── 入队 ──
-    responses: list[PreviewGenerationTaskResponse] = []
-    rate_limit_exc: Exception | None = None  # 记录首个限流异常，全部失败时返回结构化提示
-    for variant_index, task in enumerate(created_tasks):
-        try:
-            enqueued = safe_enqueue_generation_task(
-                task,
-                generation_task_repository,
-                user_id=user_id,
-                log_prefix=f"[预览生成][变体{variant_index + 1}]",
-                log_task_status=True,
-            )
-            if not enqueued:
-                logger.warning("[预览生成] 任务入队失败: task_id=%s", task.id)
-                _mark_task_failed(generation_task_repository, task, "任务入队失败")
-        except UserPendingLimitExceeded as e:
-            _mark_task_failed(generation_task_repository, task, "待处理任务超限")
-            rate_limit_exc = rate_limit_exc or e
-        except GlobalQueueFull as e:
-            _mark_task_failed(generation_task_repository, task, "系统队列已满")
-            rate_limit_exc = rate_limit_exc or e
-        except Exception:
-            logger.exception("[预览生成] 入队异常: task_id=%s", task.id)
-            _mark_task_failed(generation_task_repository, task, "任务入队异常")
-        # enqueue 会原地更新 task 状态/进度，直接用 task 构造响应
-        responses.append(_to_preview_response(task))
-
-    # 队列满/限流时若全部失败，返回结构化错误码（前端区分"排队"与"创建失败"）
-    if all(r.status == "failed" for r in responses) and rate_limit_exc is not None:
-        if isinstance(rate_limit_exc, UserPendingLimitExceeded):
-            raise HTTPException(
-                status_code=429,
-                detail=build_rate_limit_detail(rate_limit_exc, generation_task_repository, scope="user"),
-            )
-        raise HTTPException(
-            status_code=503,
-            detail=build_rate_limit_detail(rate_limit_exc, generation_task_repository, scope="global"),
-        )
-
-    logger.info(
-        "[预览生成] 创建完成: %d 个变体任务, task_ids=%s",
-        len(responses),
-        [r.task_id for r in responses],
-    )
-    return BatchPreviewGenerationTaskResponse(items=responses, total=len(responses))
-
-
-@router.get("/preview/{task_id}", response_model=PreviewGenerationTaskResponse)
-def get_preview_generation_task(
-    task_id: str,
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    generation_task_repository=Depends(get_generation_task_repository),
-    generated_video_repository=Depends(get_generated_video_repository),
-) -> PreviewGenerationTaskResponse:
-    """查询预览生成任务状态。
-
-    Args:
-        task_id: 任务 ID
-
-    Returns:
-        预览任务详情（含状态、进度、结果 URL 等）
-    """
-    use_case = GetGenerationTaskUseCase(generation_task_repository)
-    task = use_case.execute(task_id)
-    if task is None:
-        raise HTTPException(status_code=404, detail=f"预览任务 {task_id} 不存在")
-
-    # 权限校验：任务必须属于当前用户（统一转 str 比较，避免 UUID/str 类型差异）
-    task_user_id = str(getattr(task, "created_by_user_id", "") or "")
-    if not task_user_id or task_user_id != str(authenticated_user.user.id):
-        raise HTTPException(status_code=403, detail="无权访问该任务")
-
-    # 校验是否为预览任务
-    if not getattr(task, "is_preview", False):
-        raise HTTPException(status_code=404, detail=f"预览任务 {task_id} 不存在")
-
-    # 查询生成的视频（取第一个）
-    generated_videos = []
-    status_val = task.status.value if hasattr(task.status, "value") else str(task.status)
-    if status_val == "completed":
-        list_use_case = ListGeneratedVideosByTaskUseCase(generated_video_repository)
-        generated_videos = list_use_case.execute(task_id)
-
-    return _to_preview_response(task, generated_videos=generated_videos)
@@ -1,4 +1,5 @@
 import logging
+import random
 import uuid
 from typing import Any

@@ -10,13 +11,11 @@ from app.core.task_enqueue import (
    USER_PENDING_LIMIT,
    GlobalQueueFull,
    UserPendingLimitExceeded,
-    build_rate_limit_detail,
    safe_enqueue_generation_task,
 )
 from app.dependencies import (
    get_asset_library_repository,
    get_asset_repository,
-    get_db_session,
    get_generated_video_repository,
    get_generation_task_repository,
    get_project_repository,
@@ -27,13 +26,11 @@ from app.schemas.generated_video import (
 )
 from app.schemas.generation_task import (
    BatchGenerationTaskResponse,
-    ConfirmGenerationRequest,
    CreateGenerationTaskRequest,
    GenerationTaskResponse,
    ListGenerationTasksResponse,
 )
 from fastapi import APIRouter, Depends, HTTPException
-from sqlalchemy.orm import Session

 from packages.application import (
    CreateGenerationTaskCommand,
@@ -41,46 +38,12 @@ from packages.application import (
    GetGenerationTaskUseCase,
    ListGeneratedVideosByTaskUseCase,
 )
-from packages.domain.smart_match import smart_select_assets

 logger = logging.getLogger(__name__)

 router = APIRouter()


-def _variant_value(values: list[str], index: int, fallback: str = "") -> str:
-    """从变体数组中取值：长度1=共用，长度>N=按索引，空数组=回退 fallback。"""
-    if not values:
-        return fallback
-    if len(values) == 1:
-        return values[0]
-    return values[index] if index < len(values) else fallback
-
-
-def _query_voice_durations(db: Session, voice_ids: list[str]) -> list[float]:
-    """批量查询配音素材时长（秒），#1749 配音时长分配用。
-
-    逐项 try/float 硬化：MagicMock/异常/缺失 → 0.0（无配音不分配，不阻断）。
-    """
-    ids = [v for v in dict.fromkeys(voice_ids or []) if v]
-    if not ids:
-        return []
-    try:
-        from packages.adapters.sqlalchemy_impl.models import AssetModel
-
-        rows = db.query(AssetModel.id, AssetModel.duration).filter(AssetModel.id.in_(ids)).all()
-        dur_map: dict[str, float] = {}
-        for row in rows:
-            try:
-                dur_map[row[0]] = float(row[1] or 0.0)
-            except (TypeError, ValueError):
-                dur_map[row[0]] = 0.0
-        return [dur_map.get(v, 0.0) for v in ids]
-    except Exception:
-        logger.warning("[生成任务] 配音时长查询失败（按无配音处理，不阻断）", exc_info=True)
-        return [0.0 for _ in ids]
-
-
 def _to_generation_task_response(task) -> GenerationTaskResponse:
    return GenerationTaskResponse(
        id=task.id,
@@ -98,12 +61,6 @@ def _to_generation_task_response(task) -> GenerationTaskResponse:
        video_title=getattr(task, "video_title", ""),
        resolution=getattr(task, "resolution", ""),
        bgm_config=getattr(task, "bgm_config", {}) or {},
-        is_preview=getattr(task, "is_preview", False),
-        source_task_id=getattr(task, "source_task_id", ""),
-        output_width=getattr(task, "output_width", 1280),
-        output_height=getattr(task, "output_height", 720),
-        cover_url=getattr(task, "cover_url", ""),
-        title_config=getattr(task, "title_config", {}) or {},
        logs=getattr(task, "logs", "[]"),
        status=task.status,
        progress=task.progress,
@@ -126,9 +83,6 @@ def _to_generated_video_response(item, download_url: str | None = None) -> Gener
        height=item.height,
        fps=item.fps,
        download_url=download_url,
-        duplicate_rate=getattr(item, "duplicate_rate", None),
-        visual_similarity=getattr(item, "visual_similarity", None),
-        match_count=getattr(item, "match_count", None),
    )


@@ -147,16 +101,13 @@ def _select_assets_from_library(
    assets: list,
    mode: str,
    count: int,
-    rng=None,
 ) -> list[str]:
    """根据选取模式从素材库中选取 ready 状态的视频素材 ID。

    Args:
        assets: 素材库中所有素材（Asset 实体列表）
-        mode: 选取模式 — all=全部, smart=智能匹配（多维度评分+多样性）
-        count: 选取数量，0 表示全部（仅 smart 模式有效）
-        rng: 可选随机源（smart 模式排序噪声用），生产环境不传则内部随机；
-            测试可注入固定种子或零噪声随机源获得确定性结果。
+        mode: 选取模式 — all=全部, random=随机, smart=智能匹配（多维度评分+多样性）
+        count: 选取数量，0 表示全部（仅 random/smart 模式有效）

    Returns:
        选中的素材 ID 列表
@@ -166,81 +117,31 @@ def _select_assets_from_library(
    if not ready_video_assets:
        return []

+    if mode == "random":
+        selected = (
+            ready_video_assets if count <= 0 else random.sample(ready_video_assets, min(count, len(ready_video_assets)))
+        )
+        return [a.id for a in selected]
+
    if mode == "smart":
-        # 智能匹配：统一使用 packages/domain/smart_match.py 的多维评分+多样性选取
-        # 评分维度：质量分(40%) + 时长适配(30%) + 新鲜度(20%) + 未使用加分(10%)
-        # 排序注入随机噪声（#1743）：同分素材每次选出不同组合，从素材组合层面降重
-        limit = count if count > 0 else None
-        results = smart_select_assets(ready_video_assets, limit=limit, kind="video", rng=rng)
-        return [r.asset.id for r in results]
+        # 智能匹配：按质量分降序 + 时长降序作为tiebreaker
+        # 注意：这里使用简单的 quality_score 排序保持向后兼容
+        # 更复杂的4维评分+多样性策略由 SmartAssetSelector 服务提供（用于 AI 精选等场景）
+        scored_assets = sorted(
+            ready_video_assets,
+            key=lambda a: (
+                -(a.quality_score if a.quality_score is not None else 0.0),
+                -(getattr(a, "duration", 0.0) or 0.0),
+            ),
+        )
+        if count > 0:
+            scored_assets = scored_assets[:count]
+        return [a.id for a in scored_assets]

    # 默认 all 模式：返回全部 ready 视频素材
    return [a.id for a in ready_video_assets]


-def _writeback_edit_plan_config(
-    plan_id: str,
-    task_id: str,
-    title_config: dict | None,
-    db: Session,
-) -> None:
-    """任务入队成功后，回写 EditPlan.config：generation_task_id + title_config。
-
-    用 merge 方式更新，不整体覆盖 config，避免丢失其他字段。
-    失败只记日志，不影响任务创建。
-    """
-    if not plan_id:
-        return
-    try:
-        from packages.adapters.sqlalchemy_impl.models import EditPlanModel
-
-        plan_model = db.query(EditPlanModel).filter(EditPlanModel.id == plan_id).first()
-        if plan_model is None:
-            logger.warning("[生成任务] 回写plan.config失败: plan不存在 plan_id=%s", plan_id)
-            return
-
-        current_config = plan_model.config if isinstance(plan_model.config, dict) else {}
-        merged = dict(current_config)
-        merged["generation_task_id"] = task_id
-
-        # 检查标题是否发生变化，如果变化则清除 cover 字段强制重新生成封面
-        if title_config:
-            old_title_config = merged.get("title_config", {}) or {}
-            old_title_text = (old_title_config.get("text") or "").strip()
-            new_title_text = (title_config.get("text") or "").strip()
-            if old_title_text != new_title_text:
-                # 标题变化，清除旧封面
-                if "cover" in merged:
-                    del merged["cover"]
-                    logger.info(
-                        "[生成任务] 标题变化，清除旧封面: plan_id=%s old_title=%s new_title=%s",
-                        plan_id,
-                        old_title_text,
-                        new_title_text,
-                    )
-            merged["title_config"] = title_config
-
-        plan_model.config = merged
-        db.commit()
-        logger.info(
-            "[生成任务] 回写plan.config成功: plan_id=%s task_id=%s keys=%s",
-            plan_id,
-            task_id,
-            list(merged.keys()),
-        )
-    except Exception as e:
-        logger.warning(
-            "[生成任务] 回写plan.config异常（不影响任务创建）: plan_id=%s error=%s",
-            plan_id,
-            e,
-            exc_info=True,
-        )
-        try:
-            db.rollback()
-        except Exception:
-            pass
-
-
 def _resolve_project_and_library(
    request: CreateGenerationTaskRequest,
    project_repository: Any,
@@ -286,7 +187,6 @@ def create_generation_task(
    project_repository: Any = Depends(get_project_repository),
    asset_library_repository: Any = Depends(get_asset_library_repository),
    asset_repository: Any = Depends(get_asset_repository),
-    db: Session = Depends(get_db_session),
 ) -> BatchGenerationTaskResponse:
    logger.info(
        "[生成任务] 接收请求: user_id=%s, template_id=%s, asset_count=%d, mode=%s, count=%d",
@@ -327,8 +227,8 @@ def create_generation_task(
                mode=request.asset_select_mode,
                count=request.asset_select_count,
            )
-    elif project_id and not resolved_asset_ids and request.asset_select_mode in ("smart",):
-        # 项目级模式：未指定 asset_ids 且选择了 smart 模式时，也自动选取
+    elif project_id and not resolved_asset_ids and request.asset_select_mode in ("random", "smart"):
+        # 项目级模式：未指定 asset_ids 且选择了 random/smart 模式时，也自动选取
        assets = asset_repository.find_by_project(project_id)
        if assets:
            resolved_asset_ids = _select_assets_from_library(
@@ -342,92 +242,9 @@ def create_generation_task(
                    detail="当前项目没有符合条件的视频素材，请先上传并等待导入完成后再生成。",
                )

-    # ── 兜底复用预览产物 ──
-    # 前端刷新后 previewTaskId 丢失，降级调 create 接口时，
-    # 如果同一 edit_plan 有已完成的预览任务，直接复用（秒出）。
-    if request.source_edit_plan_id and not request.is_preview:
-        try:
-            from packages.adapters.sqlalchemy_impl.models import (
-                GenerationTaskModel,
-            )
-
-            _preview_model = (
-                db.query(GenerationTaskModel)
-                .filter(
-                    GenerationTaskModel.source_edit_plan_id == request.source_edit_plan_id,
-                    GenerationTaskModel.is_preview.is_(True),
-                    GenerationTaskModel.status == "completed",
-                    GenerationTaskModel.created_by_user_id == authenticated_user.user.id,
-                )
-                .order_by(GenerationTaskModel.created_at.desc())
-                .first()
-            )
-            if _preview_model is not None:
-                # 校验分辨率一致性（与 confirm 端点逻辑相同）
-                req_w = request.output_width or 0
-                req_h = request.output_height or 0
-                src_w = getattr(_preview_model, "output_width", 0) or 0
-                src_h = getattr(_preview_model, "output_height", 0) or 0
-                resolution_match = (req_w == 0 or req_w == src_w) and (req_h == 0 or req_h == src_h)
-
-                if resolution_match:
-                    from packages.adapters.sqlalchemy_impl.generation_task_repository import (
-                        _to_domain,
-                    )
-
-                    preview_task = _to_domain(_preview_model)
-
-                    # 如果传了标题，更新 title_config
-                    fallback_title_config = None
-                    if request.title_config and request.title_config.get("text", "").strip():
-                        fallback_title_config = dict(preview_task.title_config or {})
-                        fallback_title_config.update(request.title_config)
-
-                    preview_task.mark_confirmed(
-                        cover_url=request.cover_url or preview_task.cover_url,
-                        output_width=request.output_width or preview_task.output_width,
-                        output_height=request.output_height or preview_task.output_height,
-                        title_config=fallback_title_config,
-                    )
-                    generation_task_repository.update(preview_task)
-
-                    # 同步标题到 EditPlan.config
-                    if fallback_title_config:
-                        _writeback_edit_plan_config(
-                            plan_id=request.source_edit_plan_id,
-                            task_id=preview_task.id,
-                            title_config=fallback_title_config,
-                            db=db,
-                        )
-
-                    logger.info(
-                        "[生成任务] 兜底复用预览产物: preview_task_id=%s, plan_id=%s",
-                        preview_task.id,
-                        request.source_edit_plan_id,
-                    )
-                    return BatchGenerationTaskResponse(
-                        items=[_to_generation_task_response(preview_task)],
-                        total=1,
-                    )
-                else:
-                    logger.info(
-                        "[生成任务] 兜底复用跳过（分辨率不一致）: plan_id=%s, src=%sx%s, req=%sx%s",
-                        request.source_edit_plan_id,
-                        src_w,
-                        src_h,
-                        req_w,
-                        req_h,
-                    )
-        except Exception:
-            logger.warning(
-                "[生成任务] 兜底复用预览产物异常（不影响主流程）: plan_id=%s",
-                request.source_edit_plan_id,
-                exc_info=True,
-            )
-
    use_case = CreateGenerationTaskUseCase(generation_task_repository)
    count = request.count
-    created_tasks: list = []
+    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
@@ -446,234 +263,28 @@ def create_generation_task(
    except UserPendingLimitExceeded as e:
        raise HTTPException(
            status_code=429,
-            detail=build_rate_limit_detail(e, generation_task_repository, scope="user"),
+            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=build_rate_limit_detail(e, generation_task_repository, scope="global"),
+            detail="系统繁忙，请稍后再试",
        ) from e

-    # 画中画已下线：strategy_id 中的 pip/voice_pip 统一映射为 one_take
-    effective_strategy_id = request.strategy_id
-    if effective_strategy_id in ("pip", "voice_pip"):
-        logger.info("画中画已下线，strategy_id %s → one_take", effective_strategy_id)
-        effective_strategy_id = "one_take"
-
-    # 批量生成（count>1）：每个变体必须走与单视频完全相同的独立选片流程（#1743/#1749）。
-    # - 变体 0：clone 源 plan（不污染源 plan），变体 1..N-1 用 reselect_plan_for_variant
-    #   完整重跑选片（素材级去重：fresh 优先 → 受控复用 overlap≤20% → 短素材禁复用）；
-    # - #1749：前端可回传 variant-plans 接口预生成的 plan_id（variant_plan_ids），直接复用；
-    #   回传 plan 仍按各变体配音幂等重分配段长（防 variant-plans 阶段未带配音/占位时长）；
-    # - 配音时长：独立配音各自时长、统一配音同值，逐变体 apply_voice_duration_to_plan，
-    #   成片总时长=配音时长（素材短→末帧冻结，禁慢放/禁截配音）；
-    # - count>1 但没有源 plan 时，不允许 N 个任务兜底共用同一 plan，直接 4xx 中断。
-    # 在创建任何任务【之前】预生成/校验全部变体 plan：失败直接中断（此时无脏数据）。
-    variant_plan_ids: list[str] = []
-    if count > 1:
-        from app.services.edit_plan_service import EditPlanService
-
-        from packages.domain.variant_voice_resolver import VariantVoiceError, resolve_variant_voice_ids
-
-        _plan_svc = EditPlanService(db)
-
-        # 解析每变体配音（严格守卫：独立配音长度/缺值 → 400，禁静默 fallback）
-        try:
-            variant_voices = resolve_variant_voice_ids(
-                count=count,
-                voice_library_id=request.voice_library_id,
-                voice_library_ids=request.voice_library_ids or None,
-            )
-        except VariantVoiceError as ve:
-            raise HTTPException(status_code=400, detail=str(ve)) from ve
-        # 各变体配音时长（查询硬化：异常 → 0.0 不阻断）
-        voice_durations = _query_voice_durations(db, variant_voices)
-
-        # 解析批量源 plan：优先前端传入；否则按 template_id + user 查最新（与单任务兜底同源）
-        batch_source_plan_id = request.source_edit_plan_id
-        if not batch_source_plan_id and request.template_id:
-            try:
-                from packages.adapters.sqlalchemy_impl.models import EditPlanModel
-
-                _latest = (
-                    db.query(EditPlanModel)
-                    .filter(
-                        EditPlanModel.template_id == request.template_id,
-                        EditPlanModel.created_by_user_id == user_id,
-                    )
-                    .order_by(EditPlanModel.created_at.desc())
-                    .first()
-                )
-                if _latest:
-                    batch_source_plan_id = _latest.id
-            except Exception:
-                logger.warning("[生成任务] 批量源 plan 解析失败", exc_info=True)
-
-        if not batch_source_plan_id and not request.variant_plan_ids:
-            # 无任何可用源 plan：批量变体无从选片，明确报错，严禁静默共用/同源
-            logger.error("[生成任务] 批量 count=%d 但无可编辑计划（无 source_edit_plan_id/template plan）", count)
-            raise HTTPException(
-                status_code=400,
-                detail="批量生成需要先完成预览生成（缺少剪辑计划）。请先生成预览后再批量创建。",
-            )
-
-        # 批次素材池：请求显式素材 + 库自动匹配素材（resolved_asset_ids）
-        batch_asset_pool = list(dict.fromkeys(resolved_asset_ids or []))
-
-        if request.variant_plan_ids:
-            # ① 前端回传 variant-plans 预生成结果：直接复用（轻量选片接口已建好 plan）
-            if len(request.variant_plan_ids) != count:
-                raise HTTPException(
-                    status_code=400,
-                    detail=f"variant_plan_ids 数量({len(request.variant_plan_ids)})与视频数量({count})不一致",
-                )
-            # 校验归属权
-            from packages.adapters.sqlalchemy_impl.models import EditPlanModel
-
-            for _pid in request.variant_plan_ids:
-                _pm = db.query(EditPlanModel).filter(EditPlanModel.id == _pid).first()
-                if _pm is None:
-                    raise HTTPException(status_code=400, detail=f"剪辑计划不存在: {_pid}")
-                if _pm.created_by_user_id and _pm.created_by_user_id != user_id:
-                    raise HTTPException(status_code=403, detail=f"无权使用剪辑计划: {_pid}")
-            variant_plan_ids = list(request.variant_plan_ids)
-        else:
-            # ② 服务端选片：变体 0 clone 源 plan（不污染源 plan）
-            try:
-                _plan0 = _plan_svc.clone_plan_for_variant(
-                    batch_source_plan_id,
-                    created_by_user_id=user_id,
-                    name_suffix="批量1",
-                )
-            except Exception as clone_err:
-                logger.error("[生成任务] 变体0 clone 失败: %s", clone_err, exc_info=True)
-                raise HTTPException(
-                    status_code=500, detail="创建批量任务失败：无法生成独立剪辑计划，请重试"
-                ) from clone_err
-            variant_plan_ids.append(_plan0.id)
-
-            # 变体 1..N-1 独立选片
-            for task_index in range(1, count):
-                variant = None
-                last_err: Exception | None = None
-                for _attempt in range(2):  # 1 次重试，抗 DB 瞬时抖动
-                    try:
-                        variant = _plan_svc.reselect_plan_for_variant(
-                            batch_source_plan_id,
-                            batch_asset_pool,
-                            created_by_user_id=user_id,
-                            name_suffix=f"批量{task_index + 1}",
-                            voice_duration=voice_durations[task_index] if task_index < len(voice_durations) else 0.0,
-                        )
-                        break
-                    except ValueError as ve:
-                        # 素材不足等可预期错误：不重试，直接中断并给出明确提示
-                        logger.warning("[生成任务] 变体独立选片失败(素材不足): %s", ve)
-                        raise HTTPException(
-                            status_code=400,
-                            detail=f"批量生成第 {task_index + 1} 个视频无法独立选片：{ve}。"
-                            "请增加素材库中的视频素材后重试。",
-                        ) from ve
-                    except Exception as reselection_err:  # noqa: PERF203
-                        last_err = reselection_err
-                        logger.warning(
-                            "[生成任务] 变体独立选片失败(尝试%d/2): source=%s error=%s",
-                            _attempt + 1,
-                            batch_source_plan_id,
-                            reselection_err,
-                            exc_info=True,
-                        )
-                if variant is None:
-                    logger.error(
-                        "[生成任务] 变体独立选片重试仍失败，中断批量创建: source=%s",
-                        batch_source_plan_id,
-                        exc_info=last_err,
-                    )
-                    raise HTTPException(
-                        status_code=500,
-                        detail="创建批量任务失败：无法生成独立剪辑计划，请重试",
-                    ) from last_err
-                variant_plan_ids.append(variant.id)
-
-        # ③ 配音时长分配（回传 plan / clone 变体0 均需幂等分配；reselect 已在选片时分配）
-        for _vi, _pid in enumerate(variant_plan_ids):
-            _vd = voice_durations[_vi] if _vi < len(voice_durations) else 0.0
-            if _vd > 0:
-                try:
-                    _plan_svc.apply_voice_duration_to_plan(_pid, _vd)
-                except Exception:
-                    logger.exception("[生成任务] 变体%d 配音时长分配失败（不阻断）: plan=%s", _vi, _pid)
-
-    # N=1 正式生成：渲染侧全局慢放兜底已删除（#1749），enqueue 前也必须按配音分配段长
-    if count == 1 and not request.is_preview:
-        from packages.domain.variant_voice_resolver import VariantVoiceError, resolve_variant_voice_ids
-
-        try:
-            _voices = resolve_variant_voice_ids(
-                count=1,
-                voice_library_id=request.voice_library_id,
-                voice_library_ids=request.voice_library_ids or None,
-            )
-            _single_vd: list[float] = _query_voice_durations(db, _voices)
-            _single_dur = _single_vd[0] if _single_vd else 0.0
-            _single_plan = request.source_edit_plan_id
-            if not _single_plan and request.template_id:
-                try:
-                    from packages.adapters.sqlalchemy_impl.models import EditPlanModel
-
-                    _latest = (
-                        db.query(EditPlanModel)
-                        .filter(
-                            EditPlanModel.template_id == request.template_id,
-                            EditPlanModel.created_by_user_id == user_id,
-                        )
-                        .order_by(EditPlanModel.created_at.desc())
-                        .first()
-                    )
-                    if _latest:
-                        _single_plan = _latest.id
-                except Exception:
-                    logger.warning("[生成任务] 单任务源 plan 解析失败", exc_info=True)
-            if _single_dur > 0 and _single_plan:
-                from app.services.edit_plan_service import EditPlanService
-
-                try:
-                    EditPlanService(db).apply_voice_duration_to_plan(_single_plan, _single_dur)
-                except Exception:
-                    logger.exception("[生成任务] N=1 配音时长分配失败（不阻断）: plan=%s", _single_plan)
-        except VariantVoiceError as ve:
-            raise HTTPException(status_code=400, detail=str(ve)) from ve
-        except Exception:
-            logger.exception("[生成任务] N=1 配音分配兜底异常（不阻断）")
-
    try:
-        for task_index in range(count):
-            # #1749：count>1 时每个变体（含变体0）都关联各自独立 plan（clone/reselect/variant-plans）。
-            if count > 1 and variant_plan_ids:
-                effective_plan_id = variant_plan_ids[task_index]
-            else:
-                effective_plan_id = request.source_edit_plan_id
-
-            # 变体级独立配置：titles[]/voice_library_ids[]/cover_urls[]
-            # 长度1=所有变体共用，长度=count=每个变体独立，空数组=回退单值字段
-            variant_title_text = _variant_value(request.titles, task_index, "")
-            variant_title_config = dict(request.title_config or {})
-            if variant_title_text.strip():
-                variant_title_config["text"] = variant_title_text.strip()
-            variant_voice_library_id = _variant_value(request.voice_library_ids, task_index, request.voice_library_id)
-            variant_cover_url = _variant_value(request.cover_urls, task_index, request.cover_url)
-
+        for _ in range(count):
            task = use_case.execute(
                CreateGenerationTaskCommand(
                    project_id=project_id,
                    asset_library_id=asset_library_id,
-                    strategy_id=effective_strategy_id,
-                    voice_library_id=variant_voice_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=effective_plan_id,
+                    source_edit_plan_id=request.source_edit_plan_id,
                    asset_select_mode=request.asset_select_mode,
                    batch_id=batch_id,
                    video_title=request.video_title,
@@ -681,72 +292,9 @@ def create_generation_task(
                    bgm_config=request.bgm_config,
                    auto_retry_enabled=request.auto_retry_enabled,
                    auto_retry_max=request.auto_retry_max,
-                    is_preview=request.is_preview,
-                    source_task_id=request.source_task_id,
-                    output_width=request.output_width,
-                    output_height=request.output_height,
-                    cover_url=variant_cover_url,
-                    title_config=variant_title_config,
                )
            )
-            # 变体序号写入 extra_meta（响应/排查时可辨识）
-            task.extra_meta["variant_index"] = task_index
            try:
-                # 兜底关联编辑计划：前端未传 source_edit_plan_id 时，
-                # 通过 template_id + user_id 在 DB 层直接查找最新的 plan。
-                # 必须在 enqueue 之前执行，避免 worker 读取时 source_edit_plan_id 为空（竞态条件）。
-                # #1743：批量（count>1）场景严禁兜底共用——变体 plan 已在上方预生成，
-                # 走到这里还缺 plan 说明预生成漏配，直接报错中断，不允许 N 任务关联同一 plan。
-                if not task.source_edit_plan_id and count > 1:
-                    logger.error(
-                        "[生成任务] 批量任务缺少独立 plan（禁止共用兜底）: task_index=%d task_id=%s",
-                        task_index,
-                        task.id,
-                    )
-                    raise HTTPException(
-                        status_code=500,
-                        detail="创建批量任务失败：变体剪辑计划缺失，请重新预览后再批量生成。",
-                    )
-                if not task.source_edit_plan_id and request.template_id:
-                    try:
-                        from packages.adapters.sqlalchemy_impl.models import EditPlanModel
-
-                        _plan_model = (
-                            db.query(EditPlanModel)
-                            .filter(
-                                EditPlanModel.template_id == request.template_id,
-                                EditPlanModel.created_by_user_id == user_id,
-                            )
-                            .order_by(EditPlanModel.created_at.desc())
-                            .first()
-                        )
-                        if _plan_model:
-                            task.source_edit_plan_id = _plan_model.id
-                            generation_task_repository.update(task)
-                            logger.info(
-                                "[生成任务] 自动关联编辑计划: task_id=%s plan_id=%s",
-                                task.id,
-                                _plan_model.id,
-                            )
-                    except Exception:
-                        logger.warning(
-                            "[生成任务] 查找关联编辑计划失败（不影响主流程）: task_id=%s",
-                            task.id,
-                            exc_info=True,
-                        )
-
-                # 回写 plan.config：必须在 enqueue 之前执行，
-                # 确保 worker 读取 plan 时 config 中已包含 generation_task_id。
-                # 批量场景下每个变体关联独立 plan，需各自回写自己的变体标题配置。
-                _effective_plan_id = task.source_edit_plan_id
-                if _effective_plan_id:
-                    _writeback_edit_plan_config(
-                        plan_id=_effective_plan_id,
-                        task_id=task.id,
-                        title_config=variant_title_config,
-                        db=db,
-                    )
-
                if safe_enqueue_generation_task(
                    task,
                    generation_task_repository,
@@ -763,7 +311,7 @@ def create_generation_task(
                if not created_tasks:
                    raise HTTPException(
                        status_code=429,
-                        detail=build_rate_limit_detail(_e, generation_task_repository, scope="user"),
+                        detail="您的待处理任务过多，请等待完成后再提交",
                    ) from _e
                break
            except GlobalQueueFull as _e:
@@ -771,7 +319,7 @@ def create_generation_task(
                if not created_tasks:
                    raise HTTPException(
                        status_code=503,
-                        detail=build_rate_limit_detail(_e, generation_task_repository, scope="global"),
+                        detail="系统繁忙，请稍后再试",
                    ) from _e
                break
    except HTTPException:
@@ -784,135 +332,6 @@ def create_generation_task(
    return BatchGenerationTaskResponse(items=items, total=len(items))


-@router.post("/tasks/{task_id}/confirm", response_model=BatchGenerationTaskResponse)
-def confirm_generation(
-    task_id: str,
-    request: ConfirmGenerationRequest,
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    generation_task_repository: Any = Depends(get_generation_task_repository),
-    project_repository: Any = Depends(get_project_repository),
-    db: Session = Depends(get_db_session),
-) -> BatchGenerationTaskResponse:
-    """确认生成 -- 复用预览渲染产物（预览与正式品质一致）。
-
-    预览已使用 1080p / CRF 23 / medium 渲染，品质与正式生成一致。
-    确认时直接将预览任务标记为正式产出，无需重新渲染，实现秒出。
-    仅当预览任务未完成时，才创建新的正式任务走渲染流程。
-    """
-    # 1. 查找源预览任务
-    source_task = generation_task_repository.get(task_id)
-    if source_task is None:
-        raise HTTPException(status_code=404, detail=f"Preview task {task_id} not found")
-
-    # 2. 权限检查
-    if source_task.created_by_user_id and source_task.created_by_user_id != authenticated_user.user.id:
-        raise HTTPException(status_code=403, detail="Access denied to this task")
-    if source_task.project_id:
-        check_project_access(source_task.project_id, authenticated_user.user.id, project_repository)
-
-    # 3. 如果预览任务已完成，检查分辨率一致性后复用产物（秒出）
-    if source_task.is_completed and getattr(source_task, "is_preview", False):
-        # 校验请求的分辨率是否与预览实际渲染的分辨率一致
-        req_w = request.output_width or 0
-        req_h = request.output_height or 0
-        src_w = getattr(source_task, "output_width", 0) or 0
-        src_h = getattr(source_task, "output_height", 0) or 0
-        resolution_match = (req_w == 0 or req_w == src_w) and (req_h == 0 or req_h == src_h)
-
-        if resolution_match:
-            # 如果用户传了 custom_title，同步更新 title_config
-            confirmed_title_config = None
-            if request.custom_title and request.custom_title.strip():
-                confirmed_title_config = dict(getattr(source_task, "title_config", {}) or {})
-                confirmed_title_config["text"] = request.custom_title.strip()
-
-            source_task.mark_confirmed(
-                cover_url=request.cover_url,
-                output_width=request.output_width,
-                output_height=request.output_height,
-                title_config=confirmed_title_config,
-            )
-            generation_task_repository.update(source_task)
-
-            # 同步标题到 EditPlan.config
-            if confirmed_title_config and source_task.source_edit_plan_id:
-                _writeback_edit_plan_config(
-                    plan_id=source_task.source_edit_plan_id,
-                    task_id=source_task.id,
-                    title_config=confirmed_title_config,
-                    db=db,
-                )
-
-            logger.info(
-                "[确认生成] 复用预览产物: task_id=%s, user_id=%s",
-                task_id,
-                authenticated_user.user.id,
-            )
-            return BatchGenerationTaskResponse(
-                items=[_to_generation_task_response(source_task)],
-                total=1,
-            )
-        # 分辨率不一致，跳过复用，走新建任务流程
-        logger.info(
-            "[确认生成] 分辨率不一致，跳过复用: task_id=%s, src=%sx%s, req=%sx%s",
-            task_id,
-            src_w,
-            src_h,
-            req_w,
-            req_h,
-        )
-
-    # 4. 预览任务未完成，创建新的正式任务走渲染流程
-    use_case = CreateGenerationTaskUseCase(generation_task_repository)
-    new_task = use_case.execute(
-        CreateGenerationTaskCommand(
-            project_id=source_task.project_id,
-            asset_library_id=source_task.asset_library_id,
-            strategy_id=source_task.strategy_id,
-            voice_library_id=source_task.voice_library_id,
-            template_id=source_task.template_id,
-            asset_ids=source_task.asset_ids,
-            title_ids=source_task.title_ids,
-            created_by_user_id=authenticated_user.user.id,
-            source_edit_plan_id=source_task.source_edit_plan_id or "",
-            asset_select_mode=source_task.asset_select_mode,
-            video_title=getattr(source_task, "video_title", ""),
-            resolution=getattr(source_task, "resolution", ""),
-            is_preview=False,
-            source_task_id=task_id,
-            output_width=request.output_width,
-            output_height=request.output_height,
-            cover_url=request.cover_url,
-        )
-    )
-
-    # 5. 调度 worker
-    try:
-        if not safe_enqueue_generation_task(
-            new_task,
-            generation_task_repository,
-            user_id=authenticated_user.user.id,
-            log_prefix="[确认生成]",
-            log_task_status=True,
-        ):
-            logger.warning("[确认生成] 入队失败: task_id=%s", new_task.id)
-    except UserPendingLimitExceeded as _e:
-        raise HTTPException(
-            status_code=429,
-            detail=build_rate_limit_detail(_e, generation_task_repository, scope="user"),
-        ) from None
-    except GlobalQueueFull as _e:
-        raise HTTPException(
-            status_code=503,
-            detail=build_rate_limit_detail(_e, generation_task_repository, scope="global"),
-        ) from None
-
-    return BatchGenerationTaskResponse(
-        items=[_to_generation_task_response(new_task)],
-        total=1,
-    )
-
-
@router.get("/tasks", response_model=ListGenerationTasksResponse)
 def list_generation_tasks(
    authenticated_user: AuthenticatedUser = Depends(get_current_user),
@@ -986,24 +405,12 @@ def retry_generation_task(
    if user_pending >= USER_PENDING_LIMIT:
        raise HTTPException(
            status_code=429,
-            detail=build_rate_limit_detail(
-                UserPendingLimitExceeded(
-                    user_id=user_id,
-                    pending_count=user_pending,
-                    limit=USER_PENDING_LIMIT,
-                ),
-                generation_task_repository,
-                scope="user",
-            ),
+            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=build_rate_limit_detail(
-                GlobalQueueFull(pending_count=global_pending, limit=GLOBAL_PENDING_LIMIT),
-                generation_task_repository,
-                scope="global",
-            ),
+            detail="系统繁忙，请稍后再试",
        )

    use_case = CreateGenerationTaskUseCase(generation_task_repository)
@@ -1016,16 +423,12 @@ def retry_generation_task(
            template_id=task.template_id,
            asset_ids=task.asset_ids,
            title_ids=task.title_ids,
+            voice_ids=task.voice_ids,
            created_by_user_id=user_id,
            source_edit_plan_id=task.source_edit_plan_id or "",
            asset_select_mode=getattr(task, "asset_select_mode", ""),
            video_title=getattr(task, "video_title", ""),
            resolution=getattr(task, "resolution", ""),
-            is_preview=getattr(task, "is_preview", False),
-            source_task_id=getattr(task, "source_task_id", ""),
-            output_width=getattr(task, "output_width", 1280),
-            output_height=getattr(task, "output_height", 720),
-            cover_url=getattr(task, "cover_url", ""),
        )
    )
    try:
@@ -1037,15 +440,15 @@ def retry_generation_task(
            log_task_status=True,
        ):
            logger.warning("[生成任务] 重试入队失败: task_id=%s", retried.id)
-    except UserPendingLimitExceeded as _e:
+    except UserPendingLimitExceeded:
        raise HTTPException(
            status_code=429,
-            detail=build_rate_limit_detail(_e, generation_task_repository, scope="user"),
+            detail="您的待处理任务过多，请等待完成后再提交",
        ) from None
-    except GlobalQueueFull as _e:
+    except GlobalQueueFull:
        raise HTTPException(
            status_code=503,
-            detail=build_rate_limit_detail(_e, generation_task_repository, scope="global"),
+            detail="系统繁忙，请稍后再试",
        ) from None
    return _to_generation_task_response(retried)

@@ -1,178 +0,0 @@
-"""轻量选片接口 POST /generation/variant-plans（#1749）。
-
-与正式生成共用同一套选片函数（EditPlanService.ensure_variant_plans →
-clone_plan_for_variant / reselect_plan_for_variant → variant_plan_selector），
-但**不建任务、不入队、不渲染**：
-
- 仅为 N 个变体创建/选好 EditPlan + clips，返回 plan_id 与片段列表；
- 前端确认后调正式生成接口回传 variant_plan_ids，直接复用这些 plan，
-  不再重复选片（回传后仍按各变体配音幂等重分配段长）；
- 配音守卫：voice_library_ids 长度/缺值 → 400（variant_voice_resolver），
-  禁静默 fallback；
- 素材不足等选片失败 → 400（与正式生成同口径）；除此之外不报错打断。
-"""
-
-from __future__ import annotations
-
-import logging
-from typing import Any
-
-from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_db_session
-from fastapi import APIRouter, Depends, HTTPException
-from pydantic import BaseModel, Field, model_validator
-from sqlalchemy.orm import Session
-
-from packages.domain.variant_voice_resolver import VariantVoiceError, resolve_variant_voice_ids
-
-logger = logging.getLogger(__name__)
-
-router = APIRouter()
-
-
-class VariantPlanRequest(BaseModel):
-    """轻量选片请求体（与前端 variantPlans.ts 契约一致）。"""
-
-    template_id: str = Field(default="", description="模板 ID（无 source_edit_plan_id 时用于查找骨架 plan）")
-    asset_ids: list[str] = Field(default_factory=list, description="批次素材池")
-    count: int = Field(default=1, ge=1, le=50, description="变体数量")
-    source_edit_plan_id: str = Field(default="", description="源剪辑计划 ID（优先）")
-    # 配音（可选；传独立配音时严格守卫）
-    voice_library_id: str = Field(default="", description="统一配音 ID")
-    voice_library_ids: list[str] = Field(default_factory=list, description="独立配音 ID 列表（长度须=count）")
-
-    @model_validator(mode="after")
-    def _validate(self) -> "VariantPlanRequest":
-        if not self.template_id.strip() and not self.source_edit_plan_id.strip():
-            raise ValueError("template_id 与 source_edit_plan_id 至少需要提供一个")
-        try:
-            resolve_variant_voice_ids(
-                count=self.count,
-                voice_library_id=self.voice_library_id,
-                voice_library_ids=self.voice_library_ids or None,
-            )
-        except VariantVoiceError as exc:
-            raise ValueError(str(exc)) from exc
-        return self
-
-
-class VariantPlanItem(BaseModel):
-    variant_index: int
-    plan_id: str
-    clips: list[dict[str, Any]] = Field(default_factory=list)
-
-
-class VariantPlanResponse(BaseModel):
-    items: list[VariantPlanItem]
-    total: int
-
-
-@router.post("/variant-plans", response_model=VariantPlanResponse)
-def create_variant_plans(
-    request: VariantPlanRequest,
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-) -> VariantPlanResponse:
-    """轻量选片：为 N 个变体创建独立 EditPlan + clips，不建任务/不渲染。
-
-    Returns:
-        200 + {items: [{variant_index, plan_id, clips}], total}
-    """
-    user_id = authenticated_user.user.id
-
-    # 配音严格守卫（schema 已校验，此处复用解析取每变体配音）
-    try:
-        voices = resolve_variant_voice_ids(
-            count=request.count,
-            voice_library_id=request.voice_library_id,
-            voice_library_ids=request.voice_library_ids or None,
-        )
-    except VariantVoiceError as exc:
-        raise HTTPException(status_code=400, detail=str(exc)) from exc
-
-    # 解析源 plan：显式传入优先；否则按 template_id + user 查最新
-    source_plan_id = request.source_edit_plan_id.strip()
-    if not source_plan_id and request.template_id.strip():
-        try:
-            from packages.adapters.sqlalchemy_impl.models import EditPlanModel
-
-            _latest = (
-                db.query(EditPlanModel)
-                .filter(
-                    EditPlanModel.template_id == request.template_id.strip(),
-                    EditPlanModel.created_by_user_id == user_id,
-                )
-                .order_by(EditPlanModel.created_at.desc())
-                .first()
-            )
-            if _latest:
-                source_plan_id = _latest.id
-        except Exception:
-            logger.warning("[variant-plans] 源 plan 解析失败", exc_info=True)
-
-    if not source_plan_id:
-        raise HTTPException(
-            status_code=400,
-            detail="缺少剪辑计划：请先完成一次预览生成（或传入 source_edit_plan_id）后再试。",
-        )
-
-    # 配音时长（硬化：异常 → 0.0 不阻断选片）
-    try:
-        from app.api.routes.generation_tasks import _query_voice_durations
-
-        voice_durations = _query_voice_durations(db, voices)
-    except Exception:
-        logger.warning("[variant-plans] 配音时长查询失败（按占位段长选片）", exc_info=True)
-        voice_durations = [0.0] * request.count
-
-    from app.services.edit_plan_service import EditPlanService
-
-    svc = EditPlanService(db)
-    try:
-        plan_ids = svc.ensure_variant_plans(
-            source_plan_id,
-            request.count,
-            list(dict.fromkeys(request.asset_ids or [])),
-            created_by_user_id=user_id,
-            voice_durations=voice_durations,
-        )
-    except ValueError as ve:
-        # 素材池为空/时长全未知等可预期错误 → 400（与正式生成同口径）
-        logger.warning("[variant-plans] 选片失败: %s", ve)
-        raise HTTPException(status_code=400, detail=f"变体选片失败：{ve}。请增加素材后重试。") from ve
-    except HTTPException:
-        raise
-    except Exception as e:
-        logger.error("[variant-plans] 选片异常: %s", e, exc_info=True)
-        raise HTTPException(status_code=500, detail="选片失败，请稍后重试") from e
-
-    # 组装 clips 响应
-    items: list[VariantPlanItem] = []
-    for idx, pid in enumerate(plan_ids):
-        clips = svc.list_clips(pid)
-        clip_dicts = [
-            {
-                "id": c.id,
-                "order": c.order,
-                "asset_id": c.asset_id,
-                "start_time": float(c.start_time or 0.0),
-                "duration": float(c.duration or 0.0),
-                "clip_type": c.clip_type,
-                "transition_effect": c.transition_effect,
-                "transition_duration": float(c.transition_duration or 0.0),
-                "playback_speed": float(c.playback_speed or 1.0),
-                "text_content": c.text_content or "",
-                "status": c.status or "ready",
-            }
-            for c in clips
-        ]
-        items.append(VariantPlanItem(variant_index=idx, plan_id=pid, clips=clip_dicts))
-
-    logger.info(
-        "[variant-plans] 轻量选片完成: user=%s source=%s count=%d plans=%d",
-        user_id,
-        source_plan_id,
-        request.count,
-        len(plan_ids),
-    )
-    return VariantPlanResponse(items=items, total=len(items))
@@ -1,6 +1,6 @@
 from datetime import datetime, timezone

-import psycopg
+import psycopg2
 import redis
 from app.config import settings
 from fastapi import APIRouter, status
@@ -49,7 +49,7 @@ async def _check_database() -> dict:
            "message": "Using in-memory database",
        }
    try:
-        conn = psycopg.connect(settings.DATABASE_URL, connect_timeout=3)
+        conn = psycopg2.connect(settings.DATABASE_URL, connect_timeout=3)
        with conn.cursor() as cur:
            cur.execute("SELECT 1")
            cur.fetchone()
@@ -124,7 +124,7 @@ async def _check_migrations() -> dict:
            "message": "Using in-memory database, no migrations needed",
        }
    try:
-        conn = psycopg.connect(settings.DATABASE_URL, connect_timeout=3)
+        conn = psycopg2.connect(settings.DATABASE_URL, connect_timeout=3)
        with conn.cursor() as cur:
            cur.execute("""
                SELECT COUNT(*) FROM information_schema.tables
@@ -3,7 +3,7 @@ from typing import Any
 from app.core.celery_app import celery_app
 from app.dependencies import get_ingest_job_repository
 from app.schemas.ingest_job import IngestJobResponse, SubmitIngestJobRequest
-from fastapi import APIRouter, Depends, HTTPException
+from fastapi import APIRouter, Depends

 from packages.application import SubmitIngestJobCommand, SubmitIngestJobUseCase

@@ -17,7 +17,7 @@ def get_ingest_job(
 ) -> IngestJobResponse:
    job = ingest_job_repository.get(job_id)
    if job is None:
-        raise HTTPException(status_code=404, detail=f"IngestJob {job_id} not found")
+        raise ValueError(f"IngestJob {job_id} not found")
    return IngestJobResponse(
        id=job.id,
        project_id=job.project_id,
@@ -43,13 +43,7 @@ def submit_ingest_job(
        )
    )

-    celery_result = celery_app.send_task("worker.ingest_asset", args=[job.id])
-    if getattr(celery_result, "id", ""):
-        try:
-            job.celery_task_id = celery_result.id
-            ingest_job_repository.update(job)
-        except Exception:  # noqa: BLE001
-            pass
+    celery_app.send_task("worker.ingest_asset", args=[job.id])

    return IngestJobResponse(
        id=job.id,
@@ -1,145 +0,0 @@
-"""对口型 API 路由 — #1796 MediaKit 对口型.
-
-接口：
-  POST   /api/v1/lipsync/jobs          提交对口型任务
-  GET    /api/v1/lipsync/jobs          任务列表
-  GET    /api/v1/lipsync/jobs/{id}     任务详情
-  POST   /api/v1/lipsync/jobs/{id}/refresh  刷新任务状态
-  POST   /api/v1/lipsync/jobs/{id}/cancel   取消任务
-"""
-
-from __future__ import annotations
-
-import logging
-
-from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_db_session
-from app.schemas.lipsync import CreateLipsyncJobRequest, LipsyncJobResponse
-from app.services.lipsync_service import LipsyncService
-from app.services.mediakit_client import MediaKitError
-from fastapi import APIRouter, Depends, HTTPException, Query
-from sqlalchemy.orm import Session
-
-logger = logging.getLogger(__name__)
-
-router = APIRouter()
-
-
-def _get_service(db: Session = Depends(get_db_session)) -> LipsyncService:
-    return LipsyncService(db)
-
-
-# ── POST /jobs — 提交对口型任务 ───────────────────────────────────────────
-
-
-@router.post("/jobs", response_model=LipsyncJobResponse, status_code=201)
-def create_lipsync_job(
-    body: CreateLipsyncJobRequest,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    svc: LipsyncService = Depends(_get_service),
-):
-    """提交对口型任务.
-
-    输入人物视频 + 驱动音频，异步生成口型对齐视频。
-    """
-    try:
-        job = svc.create_job(
-            user_id=current_user.id,
-            video_url=body.video_url,
-            audio_url=body.audio_url,
-            enable_video_loop=body.enable_video_loop,
-            project_id=body.project_id,
-        )
-    except MediaKitError as exc:
-        # 创建失败（job 已记录 error），返回 502
-        raise HTTPException(
-            status_code=502,
-            detail={
-                "code": exc.code,
-                "message": str(exc),
-                "request_id": exc.request_id,
-            },
-        ) from exc
-
-    return job
-
-
-# ── GET /jobs — 任务列表 ─────────────────────────────────────────────────
-
-
-@router.get("/jobs", response_model=dict)
-def list_lipsync_jobs(
-    project_id: str = Query("", description="项目 ID 过滤"),
-    status: str = Query("", description="状态过滤"),
-    offset: int = Query(0, ge=0),
-    limit: int = Query(20, ge=1, le=100),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    svc: LipsyncService = Depends(_get_service),
-):
-    """获取对口型任务列表."""
-    items, total = svc.list_jobs(
-        user_id=current_user.id,
-        project_id=project_id,
-        status=status,
-        offset=offset,
-        limit=limit,
-    )
-    return {
-        "items": [LipsyncJobResponse.model_validate(j) for j in items],
-        "total": total,
-        "offset": offset,
-        "limit": limit,
-    }
-
-
-# ── GET /jobs/{job_id} — 任务详情 ────────────────────────────────────────
-
-
-@router.get("/jobs/{job_id}", response_model=LipsyncJobResponse)
-def get_lipsync_job(
-    job_id: str,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    svc: LipsyncService = Depends(_get_service),
-):
-    """获取对口型任务详情."""
-    job = svc.get_job(job_id, current_user.id)
-    if job is None:
-        raise HTTPException(status_code=404, detail="任务不存在")
-    return job
-
-
-# ── POST /jobs/{job_id}/refresh — 刷新状态 ───────────────────────────────
-
-
-@router.post("/jobs/{job_id}/refresh", response_model=LipsyncJobResponse)
-def refresh_lipsync_job(
-    job_id: str,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    svc: LipsyncService = Depends(_get_service),
-):
-    """从 MediaKit 拉取最新状态并更新."""
-    job = svc.refresh_job_status(job_id, current_user.id)
-    if job is None:
-        raise HTTPException(status_code=404, detail="任务不存在")
-    return job
-
-
-# ── POST /jobs/{job_id}/cancel — 取消任务 ────────────────────────────────
-
-
-@router.post("/jobs/{job_id}/cancel", response_model=LipsyncJobResponse)
-def cancel_lipsync_job(
-    job_id: str,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    svc: LipsyncService = Depends(_get_service),
-):
-    """取消对口型任务（仅 pending/submitted 状态可取消）."""
-    job = svc.cancel_job(job_id, current_user.id)
-    if job is None:
-        raise HTTPException(status_code=404, detail="任务不存在")
-    if job.status != "cancelled":
-        raise HTTPException(
-            status_code=400,
-            detail=f"任务状态 {job.status} 不可取消，仅 pending/submitted 可取消",
-        )
-    return job
@@ -1,14 +1,13 @@
 from typing import Any

 from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_asset_library_repository, get_project_repository
+from app.dependencies import get_project_repository
 from app.schemas.project import (
    CreateProjectRequest,
    ListProjectsResponse,
    ProjectResponse,
 )
 from fastapi import APIRouter, Depends, HTTPException, Response, status
-from pydantic import BaseModel

 from packages.application import (
    CreateProjectCommand,
@@ -17,20 +16,10 @@ from packages.application import (
    GetProjectUseCase,
    ListProjectsUseCase,
 )
-from packages.domain import AssetLibraryKind

 router = APIRouter()


-class DefaultContextResponse(BaseModel):
-    """幂等默认上下文响应（Issue #1775）：默认项目 + 各类型默认素材库 ID。"""
-
-    project_id: str
-    image_library_id: str
-    video_library_id: str
-    voice_library_id: str
-
-
 def _to_project_response(item) -> ProjectResponse:
    return ProjectResponse(
        id=item.id,
@@ -83,35 +72,6 @@ def create_project(
    return _to_project_response(project)


-@router.post("/ensure-default", response_model=DefaultContextResponse)
-def ensure_default_project_and_libraries(
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    project_repository: Any = Depends(get_project_repository),
-    asset_library_repository: Any = Depends(get_asset_library_repository),
-) -> DefaultContextResponse:
-    """幂等获取/创建当前用户的默认项目和三类默认素材库（Issue #1775）。
-
-    - 同一用户永远只有一个默认项目（部分唯一索引 uq_projects_owner_default）
-    - 同一项目同 kind 永远只有一个默认素材库（唯一约束 uq_asset_libraries_project_kind）
-    - 并发调用/失败重试：唯一约束冲突时返回已存在记录，不报 500
-    - 项目和素材库的创建各自在仓储事务内幂等，冲突回滚后重查返回同一条
-    """
-    user_id = authenticated_user.user.id
-    project = project_repository.get_or_create_default_project(user_id)
-
-    libraries = {}
-    for kind in (AssetLibraryKind.VIDEO, AssetLibraryKind.VOICE, AssetLibraryKind.IMAGE):
-        library = asset_library_repository.get_or_create_default_library(project.id, kind)
-        libraries[kind] = library.id
-
-    return DefaultContextResponse(
-        project_id=project.id,
-        image_library_id=libraries[AssetLibraryKind.IMAGE],
-        video_library_id=libraries[AssetLibraryKind.VIDEO],
-        voice_library_id=libraries[AssetLibraryKind.VOICE],
-    )
-
-
@router.delete("/{project_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None, response_class=Response)
 def delete_project(
    project_id: str,
@@ -1,123 +0,0 @@
-"""Script (口播文案库) CRUD routes — Issue #1795."""
-
-from __future__ import annotations
-
-from typing import Optional
-
-from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_db_session
-from app.schemas.script import (
-    CreateScriptRequest,
-    ScriptListResponse,
-    ScriptResponse,
-    ScriptSegment,
-    UpdateScriptRequest,
-)
-from app.services.script_service import ScriptNotFoundError, ScriptService
-from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
-from sqlalchemy.orm import Session
-
-router = APIRouter()
-
-
-def _get_service(session: Session = Depends(get_db_session)) -> ScriptService:
-    return ScriptService(session)
-
-
-def _to_response(script) -> ScriptResponse:
-    segments = script.segments or []
-    return ScriptResponse(
-        id=script.id,
-        user_id=script.user_id,
-        title=script.title,
-        content=script.content,
-        segments=[
-            ScriptSegment(text=s.get("text", ""), duration=s.get("duration")) if isinstance(s, dict) else s
-            for s in segments
-        ],
-        tags=script.tags or [],
-        created_at=script.created_at,
-        updated_at=script.updated_at,
-    )
-
-
-@router.get("", response_model=ScriptListResponse)
-def list_scripts(
-    skip: int = Query(0, ge=0),
-    limit: int = Query(50, ge=1, le=200),
-    tag: Optional[str] = Query(None, description="按标签筛选"),
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    svc: ScriptService = Depends(_get_service),
-) -> ScriptListResponse:
-    user_id = authenticated_user.user.id
-    items, total = svc.list_scripts(user_id, skip=skip, limit=limit, tag=tag)
-    return ScriptListResponse(
-        items=[_to_response(i) for i in items],
-        total=total,
-    )
-
-
-@router.post("", response_model=ScriptResponse, status_code=status.HTTP_201_CREATED)
-def create_script(
-    request: CreateScriptRequest,
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    svc: ScriptService = Depends(_get_service),
-) -> ScriptResponse:
-    user_id = authenticated_user.user.id
-    script = svc.create_script(
-        user_id=user_id,
-        title=request.title,
-        content=request.content,
-        segments=[s.model_dump() for s in request.segments],
-        tags=request.tags,
-    )
-    return _to_response(script)
-
-
-@router.get("/{script_id}", response_model=ScriptResponse)
-def get_script(
-    script_id: str,
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    svc: ScriptService = Depends(_get_service),
-) -> ScriptResponse:
-    user_id = authenticated_user.user.id
-    try:
-        script = svc.get_script(script_id, user_id)
-    except ScriptNotFoundError as exc:
-        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Script not found") from exc
-    return _to_response(script)
-
-
-@router.put("/{script_id}", response_model=ScriptResponse)
-def update_script(
-    script_id: str,
-    request: UpdateScriptRequest,
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    svc: ScriptService = Depends(_get_service),
-) -> ScriptResponse:
-    user_id = authenticated_user.user.id
-    try:
-        script = svc.update_script(
-            script_id=script_id,
-            user_id=user_id,
-            title=request.title,
-            content=request.content,
-            segments=[s.model_dump() for s in request.segments] if request.segments is not None else None,
-            tags=request.tags,
-        )
-    except ScriptNotFoundError as exc:
-        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Script not found") from exc
-    return _to_response(script)
-
-
-@router.delete("/{script_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None, response_class=Response)
-def delete_script(
-    script_id: str,
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    svc: ScriptService = Depends(_get_service),
-) -> Response:
-    user_id = authenticated_user.user.id
-    deleted = svc.delete_script(script_id, user_id)
-    if not deleted:
-        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Script not found")
-    return
@@ -375,13 +375,7 @@ def retry_project_task(
                storage_key=job.storage_key,
            )
        )
-        celery_result = celery_app.send_task("worker.ingest_asset", args=[retried.id])
-        if getattr(celery_result, "id", ""):
-            try:
-                retried.celery_task_id = celery_result.id
-                ingest_job_repository.update(retried)
-            except Exception:  # noqa: BLE001
-                pass
+        celery_app.send_task("worker.ingest_asset", args=[retried.id])
        return ProjectTaskResponse(
            id=f"ingest:{retried.id}",
            task_type="ingest",
@@ -106,10 +106,6 @@ def list_templates(
    tag: str | None = Query(None, description="按标签筛选"),
    keyword: str | None = Query(None, description="按名称关键词搜索"),
    mode: str | None = Query(None, description="按剪辑模式筛选"),
-    valid_only: bool = Query(
-        False,
-        description="仅返回已配置片段的模板（剪辑页传 true；模板编辑器不传，可查看全部模板含草稿）",
-    ),
    authenticated_user: AuthenticatedUser = Depends(get_current_user),
    template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
 ) -> ListTemplatesResponse:
@@ -120,7 +116,6 @@ def list_templates(
            tag=tag,
            keyword=keyword,
            mode=mode,
-            valid_only=valid_only,
        )
        use_case = ListTemplatesUseCase(template_repository)
        templates = use_case.execute(user_id, skip=skip, limit=limit, filter=tpl_filter)
@@ -1,17 +1,20 @@
 """模板编辑器 API 路由包.

-模块拆分：
+将原来 2560 行的 templates_editor.py 巨无霸拆分为 12 个模块：
 - schemas.py:        所有 Pydantic model
 - dependencies.py:   依赖注入
 - _utils.py:         工具函数
+- _fallback.py:      自动兜底逻辑
 - draft.py:          草稿管理（详情/更新/发布/版本/回滚）
 - clips.py:          片段管理（CRUD/分割/合并/重排/批量删除/从素材创建）
 - adjustments.py:    片段调整（速度/音量/裁剪/批量调速）
 - bgm.py:            BGM 管理
 - effects.py:        转场 + 滤镜
 - export.py:         导出配置
+- cover.py:          封面管理 + AI 生成封面
 - subtitles.py:      字幕管理
 - ai_features.py:    AI 推荐
+- generation.py:     生成（触发/进度/记录）
 - timeline.py:       时间线

 挂载路径: /api/v1/templates/{template_id}/editor/
@@ -28,10 +31,12 @@ from .adjustments import router as adjustments_router
 from .ai_features import router as ai_features_router
 from .bgm import router as bgm_router
 from .clips import router as clips_router
+from .cover import router as cover_router
 from .dependencies import get_draft_plan_id, get_editor_services  # noqa: F401
 from .draft import router as draft_router
 from .effects import router as effects_router
 from .export import router as export_router
+from .generation import router as generation_router
 from .subtitles import router as subtitles_router
 from .timeline import router as timeline_router

@@ -46,8 +51,10 @@ _sub_routers = [
    bgm_router,
    effects_router,
    export_router,
+    cover_router,
    subtitles_router,
    ai_features_router,
+    generation_router,
    timeline_router,
 ]

@@ -0,0 +1,163 @@
+"""模板编辑器自动兜底逻辑.
+
+generate_editor_draft 触发生成前的自动修复流程：
+1. draft → editing 状态迁移
+2. 无片段时从模板复制片段配置
+3. 为无素材片段分配指定素材
+4. 项目有素材库时自动选素材
+"""
+
+from __future__ import annotations
+
+import logging
+import random
+from typing import Any
+
+from app.services.edit_plan_service import EditPlanService
+from sqlalchemy.orm import Session
+
+from packages.adapters.sqlalchemy_impl.template_clip_config_repository import (
+    SQLAlchemyTemplateClipConfigRepository,
+)
+from packages.adapters.sqlalchemy_impl.template_repository import (
+    SQLAlchemyTemplateRepository,
+)
+from packages.domain.edit_plan import EditPlanStatus
+
+logger = logging.getLogger(__name__)
+
+
+def _auto_fallback_draft_to_editing(
+    svc: EditPlanService, plan_id: str, plan_check
+) -> None:
+    """自动兜底 1: draft → editing"""
+    if plan_check.status == EditPlanStatus.DRAFT:
+        logger.info("模板编辑器自动兜底: plan=%s draft→editing", plan_id)
+        svc.transition_status(plan_id, EditPlanStatus.EDITING)
+
+
+def _auto_fallback_copy_template_clips(
+    svc: EditPlanService, plan_id: str, plan_check, db: Session
+) -> None:
+    """自动兜底 2: 无片段 + 有 template_id → 从模板复制片段配置"""
+    existing_clips = svc.count_clips(plan_id)
+    if existing_clips == 0 and plan_check.template_id:
+        logger.info(
+            "模板编辑器自动兜底: plan=%s 无片段，从模板 %s 复制片段配置",
+            plan_id,
+            plan_check.template_id,
+        )
+        clip_config_repo = SQLAlchemyTemplateClipConfigRepository(db)
+        configs = clip_config_repo.list_by_template(plan_check.template_id)
+        if configs:
+            for cfg in configs:
+                svc.create_clip(
+                    plan_id=plan_id,
+                    clip_type=cfg.clip_type.value
+                    if hasattr(cfg.clip_type, "value")
+                    else cfg.clip_type,
+                    order=cfg.order,
+                    template_clip_config_id=cfg.id,
+                    duration=cfg.default_duration,
+                    transition_effect=cfg.transition_effect.value
+                    if hasattr(cfg.transition_effect, "value")
+                    else cfg.transition_effect,
+                )
+            logger.info(
+                "模板编辑器自动兜底: plan=%s 从 template_clip_configs 复制了 %d 个片段",
+                plan_id,
+                len(configs),
+            )
+        else:
+            tpl_repo = SQLAlchemyTemplateRepository(db)
+            segments = tpl_repo.list_segments(plan_check.template_id)
+            for seg in segments:
+                avg_duration = (seg.duration_min + seg.duration_max) / 2
+                svc.create_clip(
+                    plan_id=plan_id,
+                    clip_type="main",
+                    order=seg.segment_order,
+                    duration=avg_duration,
+                    config={
+                        "material_type": seg.material_type or "",
+                        "template_segment_id": seg.id,
+                    },
+                )
+            logger.info(
+                "模板编辑器自动兜底: plan=%s 从旧模板 segments 复制了 %d 个片段",
+                plan_id,
+                len(segments),
+            )
+
+
+def _auto_fallback_assign_assets(
+    svc: EditPlanService, plan_id: str, plan_check
+) -> list:
+    """自动兜底 3: 为没有素材的片段分配素材。返回剩余无素材片段列表。"""
+    all_clips = svc.list_clips(plan_id)
+    clips_without_asset = [c for c in all_clips if not c.asset_id]
+    config_asset_ids = (plan_check.config or {}).get("asset_ids", [])
+
+    if clips_without_asset and config_asset_ids:
+        logger.info(
+            "模板编辑器自动兜底3: plan=%s 为 %d 个无素材片段分配 %d 个指定素材",
+            plan_id,
+            len(clips_without_asset),
+            len(config_asset_ids),
+        )
+        for i, clip in enumerate(clips_without_asset):
+            asset_idx = i % len(config_asset_ids)
+            svc.assign_asset(clip.id, config_asset_ids[asset_idx])
+        logger.info("模板编辑器自动兜底3: plan=%s 素材分配完成", plan_id)
+        clips_without_asset = []
+
+    return clips_without_asset
+
+
+def _auto_fallback_auto_material_mode(
+    svc: EditPlanService,
+    plan_id: str,
+    plan_check,
+    clips_without_asset: list,
+    asset_library_repo: Any,
+    asset_repo: Any,
+) -> None:
+    """自动兜底 4: 项目有视频素材库时自动选素材"""
+    if not clips_without_asset:
+        return
+    if not plan_check.project_id:
+        return
+
+    logger.info(
+        "模板编辑器自动兜底4: plan=%s 自动选素材分配给 %d 个无素材片段",
+        plan_id,
+        len(clips_without_asset),
+    )
+    libs = asset_library_repo.find_by_project(plan_check.project_id)
+    video_lib = None
+    for lib in libs:
+        lib_kind = lib.kind.value if hasattr(lib.kind, "value") else lib.kind
+        if lib_kind == "video":
+            video_lib = lib
+            break
+
+    if video_lib:
+        assets = asset_repo.find_by_library(video_lib.id)
+        ready_videos = [
+            a
+            for a in assets
+            if (a.status.value if hasattr(a.status, "value") else a.status) == "ready"
+            and a.mime_type
+            and a.mime_type.startswith("video")
+        ]
+        if ready_videos:
+            random.shuffle(ready_videos)
+            for i, clip in enumerate(clips_without_asset):
+                asset = ready_videos[i % len(ready_videos)]
+                svc.assign_asset(clip.id, asset.id)
+            logger.info(
+                "模板编辑器自动兜底4: plan=%s 从素材库 %s 分配了 %d 个素材",
+                plan_id,
+                video_lib.name,
+                len(ready_videos),
+            )
@@ -24,94 +24,6 @@ logger = logging.getLogger(__name__)
 router = APIRouter(tags=["Template Editor"])


-def _build_asset_analyses(
-    asset_ids: list[str],
-    db: Session,
-) -> dict[str, str]:
-    """调用 MediaKit 视频理解，返回 {asset_id: 分析文本}.
-
-    如果 MediaKit 不可用或分析失败，返回空 dict（调用方降级处理）。
-    """
-    if not asset_ids:
-        return {}
-
-    try:
-        from packages.adapters.sqlalchemy_impl.asset_repository import SQLAlchemyAssetRepository
-        from packages.shared.mediakit_client import get_mediakit_client
-        from packages.shared.storage import get_shared_storage_service
-
-        client = get_mediakit_client()
-        if not client.is_available:
-            logger.info("MediaKit 未配置，跳过视频理解分析")
-            return {}
-
-        asset_repo = SQLAlchemyAssetRepository(db)
-        storage_svc = get_shared_storage_service()
-
-        # 查找素材并获取下载 URL（使用并行列表保持索引对应，避免 URL 重复导致映射覆盖）
-        video_urls: list[str] = []
-        valid_asset_ids: list[str] = []
-
-        for aid in asset_ids[:10]:  # MediaKit 单次最多 10 个视频
-            asset = asset_repo.get(aid)
-            if not asset or not asset.storage_key:
-                continue
-            # 只处理视频素材
-            mime = getattr(asset, "mime_type", "")
-            if not mime.startswith("video/"):
-                continue
-            try:
-                url = storage_svc.get_download_url(asset.storage_key)
-                if url:
-                    video_urls.append(url)
-                    valid_asset_ids.append(aid)
-            except Exception as e:
-                logger.warning("获取素材URL失败: asset_id=%s error=%s", aid, str(e))
-
-        if not video_urls:
-            logger.info("无可用视频素材，跳过视频理解分析")
-            return {}
-
-        # 调用 MediaKit 视频理解
-        prompt = (
-            "请简要描述这段视频的主要内容，包括：场景（室内/室外/具体场所）、"
-            "主体（人物/物体/动物）、动作/活动、氛围/情绪、主要色调。"
-            "控制在100字以内。"
-        )
-
-        # 限制轮询参数以适配 API 网关超时（nginx 60s）
-        # 视频理解最多 30s（poll_interval=2s * max_poll_attempts=15）
-        # 剩余 30s 留给 LLM 调用
-        contents = client.analyze_videos(
-            video_urls=video_urls,
-            prompt=prompt,
-            level="Economy",
-            poll_interval=2.0,
-            max_poll_attempts=15,
-        )
-
-        if not contents:
-            logger.warning("MediaKit 视频理解未返回结果")
-            return {}
-
-        # 将结果映射回 asset_id（通过索引对应）
-        analyses: dict[str, str] = {}
-        for i, content in enumerate(contents):
-            if i < len(valid_asset_ids) and content:
-                analyses[valid_asset_ids[i]] = content
-
-        logger.info(
-            "MediaKit 视频理解完成: total=%d analyzed=%d",
-            len(video_urls),
-            len(analyses),
-        )
-        return analyses
-
-    except Exception as e:
-        logger.warning("MediaKit 视频理解异常，将降级到无分析模式: %s", str(e))
-        return {}
-
-
@router.post("/ai-recommend", response_model=AIRecommendResponse)
 def editor_ai_recommend(
    template_id: str,
@@ -134,16 +46,12 @@ def editor_ai_recommend(

    from packages.shared.ai_service import run_ai_recommend

-    # 调用 MediaKit 视频理解，获取素材内容分析
-    asset_analyses = _build_asset_analyses(body.asset_ids, db)
-
    result = run_ai_recommend(
        plan_id=plan_id,
        template_id=plan.template_id,
        asset_ids=body.asset_ids,
        editing_mode=body.editing_mode,
        target_duration=body.target_duration,
-        asset_analyses=asset_analyses,
    )

    try:
@@ -0,0 +1,209 @@
+"""封面管理路由.
+
+端点：
+- GET  /cover              封面配置
+- PUT  /cover              更新封面
+- POST /cover/extract      抽帧生成封面
+- POST /cover/smart        智能选帧
+- POST /generate-cover     AI 生成封面
+"""
+
+from __future__ import annotations
+
+import logging
+
+from app.auth import AuthenticatedUser, get_current_user
+from app.services.edit_plan_service import EditPlanService
+from app.services.edit_template_service import EditTemplateService
+from fastapi import APIRouter, Depends, HTTPException
+
+from packages.domain.config_schemas import normalize_plan_config
+
+from .dependencies import get_draft_plan_id, get_editor_services
+from .schemas import (
+    CoverConfigResponse,
+    CoverExtractRequest,
+    CoverGenerateResponse,
+    CoverSmartRequest,
+    CoverUpdateRequest,
+    GenerateCoverRequest,
+    GenerateCoverResponse,
+)
+
+logger = logging.getLogger(__name__)
+router = APIRouter(tags=["Template Editor"])
+
+
+@router.get("/cover", response_model=CoverConfigResponse)
+def get_editor_cover(
+    template_id: str,
+    plan_id: str = Depends(get_draft_plan_id),
+    services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
+    _: AuthenticatedUser = Depends(get_current_user),
+) -> CoverConfigResponse:
+    """获取草稿封面配置"""
+    _, plan_svc = services
+    plan = plan_svc.get_plan_or_raise(plan_id)
+    config = plan.config or {}
+    cover_config = config.get("cover", {})
+
+    return CoverConfigResponse(
+        type=cover_config.get("cover_type", "auto"),
+        image_url=cover_config.get("cover_image_url", ""),
+        frame_time=cover_config.get("frame_time", 0.0),
+    )
+
+
+@router.put("/cover", response_model=CoverConfigResponse)
+def update_editor_cover(
+    template_id: str,
+    body: CoverUpdateRequest,
+    plan_id: str = Depends(get_draft_plan_id),
+    services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
+    _: AuthenticatedUser = Depends(get_current_user),
+) -> CoverConfigResponse:
+    """更新草稿封面配置"""
+    _, plan_svc = services
+    plan = plan_svc.get_plan_or_raise(plan_id)
+
+    config = dict(plan.config) if plan.config else {}
+    current_cover = dict(config.get("cover", {}))
+    update_data = body.model_dump(exclude_none=True)
+    current_cover.update(update_data)
+
+    config["cover"] = current_cover
+    normalized = normalize_plan_config(config)
+    plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
+
+    return CoverConfigResponse(
+        type=current_cover.get("cover_type", "auto"),
+        image_url=current_cover.get("cover_image_url", ""),
+        frame_time=current_cover.get("frame_time", 0.0),
+    )
+
+
+@router.post("/cover/extract", response_model=CoverGenerateResponse)
+def extract_editor_cover(
+    template_id: str,
+    body: CoverExtractRequest,
+    plan_id: str = Depends(get_draft_plan_id),
+    services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+) -> CoverGenerateResponse:
+    """从指定片段抽帧生成封面"""
+    _, plan_svc = services
+    plan = plan_svc.get_plan_or_raise(plan_id)
+
+    clip = plan_svc.get_clip(body.clip_id)
+    if not clip or clip.plan_id != plan_id:
+        raise HTTPException(status_code=400, detail="片段不存在或不属于当前草稿")
+
+    cover_url = f"cover/extract/{plan_id}_{body.clip_id}_{body.frame_time}.jpg"
+
+    config = dict(plan.config) if plan.config else {}
+    cover_config = dict(config.get("cover", {}))
+    cover_config.update(
+        {
+            "cover_type": "extract",
+            "cover_image_url": cover_url,
+            "clip_id": body.clip_id,
+            "frame_time": body.frame_time,
+        }
+    )
+    config["cover"] = cover_config
+    normalized = normalize_plan_config(config)
+    plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
+
+    logger.info(
+        "模板编辑器封面抽帧: template_id=%s plan_id=%s clip_id=%s by user=%s",
+        template_id,
+        plan_id,
+        body.clip_id,
+        current_user.user.id,
+    )
+
+    return CoverGenerateResponse(
+        type="extract",
+        image_url=cover_url,
+        frame_time=body.frame_time,
+    )
+
+
+@router.post("/cover/smart", response_model=CoverGenerateResponse)
+def smart_editor_cover(
+    template_id: str,
+    body: CoverSmartRequest,
+    plan_id: str = Depends(get_draft_plan_id),
+    services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+) -> CoverGenerateResponse:
+    """智能选帧生成封面"""
+    _, plan_svc = services
+    plan = plan_svc.get_plan_or_raise(plan_id)
+
+    cover_url = f"cover/smart/{plan_id}_smart.jpg"
+    strategy = getattr(body, "strategy", "auto")
+
+    config = dict(plan.config) if plan.config else {}
+    cover_config = dict(config.get("cover", {}))
+    cover_config.update(
+        {
+            "cover_type": "smart",
+            "cover_image_url": cover_url,
+            "strategy": strategy,
+        }
+    )
+    config["cover"] = cover_config
+    normalized = normalize_plan_config(config)
+    plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
+
+    logger.info(
+        "模板编辑器智能封面: template_id=%s plan_id=%s strategy=%s by user=%s",
+        template_id,
+        plan_id,
+        strategy,
+        current_user.user.id,
+    )
+
+    return CoverGenerateResponse(
+        type="smart",
+        image_url=cover_url,
+        frame_time=None,
+    )
+
+
+@router.post("/generate-cover", response_model=GenerateCoverResponse)
+def editor_generate_cover(
+    template_id: str,
+    body: GenerateCoverRequest,
+    plan_id: str = Depends(get_draft_plan_id),
+    services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+) -> GenerateCoverResponse:
+    """AI 生成封面"""
+    _, plan_svc = services
+    plan = plan_svc.get_plan_or_raise(plan_id)
+
+    from packages.shared.ai_service import run_generate_cover
+
+    cover_data = run_generate_cover(
+        plan_id=plan_id,
+        asset_ids=body.asset_ids,
+        cover_type=body.cover_type,
+        frame_time=body.frame_time,
+    )
+
+    current_config = dict(plan.config) if plan.config else {}
+    current_config["cover"] = cover_data
+    normalized = normalize_plan_config(current_config)
+    plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
+
+    logger.info(
+        "模板编辑器封面生成: template_id=%s plan_id=%s type=%s by user=%s",
+        template_id,
+        plan_id,
+        body.cover_type,
+        current_user.user.id,
+    )
+
+    return GenerateCoverResponse(plan_id=plan_id, cover=cover_data)
@@ -3,6 +3,7 @@
 核心依赖：
 - get_editor_services: 获取模板+计划服务
 - get_draft_plan_id: 根据 template_id 获取或创建草稿，返回 plan_id
+- _check_queue_limits: 生成队列限流检查
 """

 from __future__ import annotations
@@ -10,6 +11,7 @@ from __future__ import annotations
 import logging

 from app.auth import AuthenticatedUser, get_current_user
+from app.core.task_enqueue import GLOBAL_PENDING_LIMIT, USER_PENDING_LIMIT
 from app.dependencies import get_db_session
 from app.services.edit_plan_service import EditPlanService
 from app.services.edit_template_service import EditTemplateService
@@ -41,33 +43,29 @@ def get_draft_plan_id(
    这是模板编辑器路由的核心依赖——所有编辑器端点都先经过这里，
    确保 template_id → plan_id 的映射始终存在。

-    模板读取遵循单一数据源、显式判定（不使用异常降级）：
-    - 用户自建模板在旧表 ``templates``（归属 user_id，is_active=True）；
-    - 全局模板在新表 ``edit_templates``（无 user_id，全局可读）。
-    模板不存在、已删除或不归属于当前用户时，一律返回 404。
+    兼容策略：优先从新模板系统（edit_templates 表）查找，
+    若不存在则回退到旧模板系统（templates 表），确保用户自建模板可用。
    """
    tpl_svc, plan_svc = services
    user_id = str(current_user.user.id)

-    # 0. 门禁：校验模板存在且可访问（即使草稿已缓存命中也要校验，
-    #    避免模板被删除/无权访问后仍可通过既有草稿 plan 继续操作）。
-    old_repo = SQLAlchemyTemplateRepository(db)
-    old_template = old_repo.get_active(template_id, user_id)
-    is_global_template = tpl_svc.get_template(template_id) is not None
-    if old_template is None and not is_global_template:
-        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="模板不存在")
-
    # 1. 草稿已存在 → 直接返回
    draft = tpl_svc.get_template_draft(template_id)
    if draft is not None:
        return draft.id

-    # 2. 全局模板（新系统）→ 用新服务创建草稿
-    if is_global_template:
+    # 2. 新系统有模板 → 用新服务创建草稿
+    if tpl_svc.get_template(template_id) is not None:
        draft = tpl_svc.create_template_draft(template_id, user_id=user_id)
        return draft.id

-    # 3. 旧模板（templates 表）→ 基于旧模板创建草稿计划
+    # 3. 回退到旧模板系统（templates 表）
+    old_repo = SQLAlchemyTemplateRepository(db)
+    old_template = old_repo.get(template_id, user_id=user_id)
+    if old_template is None:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="模板不存在")
+
+    # 4. 基于旧模板创建草稿计划
    from app.services.plan_generator_service import PlanGeneratorService

    from packages.domain.edit_template import EditTemplate, EditTemplateStatus
@@ -115,3 +113,29 @@ def get_draft_plan_id(
        user_id,
    )
    return plan.id
+
+
+def _check_queue_limits(gen_task_repo, user_id: str) -> None:
+    """队列限流预检查"""
+    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("[模板编辑器队列限流] 检查失败，跳过: %s", e)
@@ -17,8 +17,6 @@ from fastapi import APIRouter, Depends, HTTPException, Query, status

 from .dependencies import get_draft_plan_id, get_editor_services
 from .schemas import (
-    EditorClipBatchUpdateRequest,
-    EditorClipBatchUpdateResponse,
    EditorDraftResponse,
    EditorPublishResponse,
    EditorRollbackRequest,
@@ -128,7 +126,11 @@ def list_template_versions(
            clip_count=len(v.clip_configs),
            change_note=v.change_note,
            published_by=v.published_by,
-            created_at=(v.created_at.isoformat() if hasattr(v.created_at, "isoformat") else str(v.created_at)),
+            created_at=(
+                v.created_at.isoformat()
+                if hasattr(v.created_at, "isoformat")
+                else str(v.created_at)
+            ),
        )
        for v in versions
    ]
@@ -150,7 +152,7 @@ def rollback_template(
    try:
        tpl = tpl_svc.rollback_to_version(template_id, request.version)
    except ValueError as exc:
-        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
+        raise HTTPException(status_code=400, detail=str(exc)) from exc

    clip_configs = tpl_svc.list_clip_configs(template_id)
    return EditorRollbackResponse(
@@ -160,35 +162,3 @@ def rollback_template(
        new_version=tpl.version,
        clip_count=len(clip_configs),
    )
-
-
-@router.put("/clips", response_model=EditorClipBatchUpdateResponse)
-def batch_update_clips(
-    template_id: str,
-    req: EditorClipBatchUpdateRequest,
-    plan_id: str = Depends(get_draft_plan_id),
-    services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
-    _: AuthenticatedUser = Depends(get_current_user),
-):
-    """批量替换草稿clips（全量覆盖，用于前端选择素材后同步片段）
-
-    事务保证：清空→创建→标记ready 在同一数据库事务内完成，
-    任何步骤失败时自动回滚，避免数据不一致。
-    """
-    _, plan_svc = services
-    plan_svc.get_plan_or_raise(plan_id)
-
-    clips_data = []
-    for clip_item in req.clips:
-        item = {
-            "asset_id": clip_item.asset_id,
-            "start_time": clip_item.start_time,
-            "duration": clip_item.duration,
-        }
-        if clip_item.order is not None:
-            item["order"] = clip_item.order
-        clips_data.append(item)
-
-    plan_svc.replace_all_clips_transactional(plan_id, clips_data)
-
-    return EditorClipBatchUpdateResponse(plan_id=plan_id, clip_count=len(req.clips))
@@ -41,17 +41,17 @@ def list_editor_transition_presets(
    _: AuthenticatedUser = Depends(get_current_user),
 ) -> TransitionPresetListResponse:
    """获取转场预设列表"""
-    from packages.domain.transition_presets import TRANSITION_PRESET_LIBRARY
+    from packages.domain.transition_presets import TRANSITION_PRESETS

    items = [
        {
-            "id": p.id,
-            "name": p.name,
-            "category": p.category,
-            "duration": p.default_duration,
-            "description": p.description,
+            "id": p["id"],
+            "name": p["name"],
+            "category": p.get("category", "通用"),
+            "duration": p.get("default_duration", 0.5),
+            "description": p.get("description", ""),
        }
-        for p in TRANSITION_PRESET_LIBRARY
+        for p in TRANSITION_PRESETS
    ]
    return TransitionPresetListResponse(items=items, total=len(items))

@@ -123,17 +123,17 @@ def list_editor_filter_presets(
    _: AuthenticatedUser = Depends(get_current_user),
 ) -> FilterPresetListResponse:
    """获取滤镜预设列表"""
-    from packages.domain.filter_presets import FILTER_PRESET_LIBRARY
+    from packages.domain.filter_presets import FILTER_PRESETS

    items = [
        {
-            "id": p.id,
-            "name": p.name,
-            "category": p.category,
-            "thumbnail": p.lut_url,
-            "description": p.description,
+            "id": p["id"],
+            "name": p["name"],
+            "category": p.get("category", "通用"),
+            "thumbnail": p.get("thumbnail", ""),
+            "description": p.get("description", ""),
        }
-        for p in FILTER_PRESET_LIBRARY
+        for p in FILTER_PRESETS
    ]
    return FilterPresetListResponse(items=items, total=len(items))

@@ -0,0 +1,250 @@
+"""草稿生成路由.
+
+端点：
+- POST /generate              触发生成
+- GET  /generation-status     生成进度
+- GET  /generations           生成记录列表
+"""
+
+from __future__ import annotations
+
+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.storage import OSSStorageService, get_storage_service
+from app.dependencies import (
+    get_asset_library_repository,
+    get_asset_repository,
+    get_db_session,
+)
+from app.schemas.generation_task import GenerationTaskResponse
+from app.services.edit_plan_service import EditPlanService
+from app.services.edit_template_service import EditTemplateService
+from fastapi import APIRouter, Depends, HTTPException, status
+from sqlalchemy.orm import Session
+
+from packages.adapters.sqlalchemy_impl.generation_task_repository import (
+    SQLAlchemyGenerationTaskRepository,
+)
+from packages.application.generation_tasks import (
+    CreateGenerationTaskCommand,
+    CreateGenerationTaskUseCase,
+)
+from packages.domain.edit_plan import EditPlanStatus
+
+from ._fallback import (
+    _auto_fallback_assign_assets,
+    _auto_fallback_auto_material_mode,
+    _auto_fallback_copy_template_clips,
+    _auto_fallback_draft_to_editing,
+)
+from .dependencies import _check_queue_limits, get_draft_plan_id, get_editor_services
+from .schemas import (
+    ClipStatusItem,
+    EditPlanGenerateResponse,
+    EditPlanGenerationsResponse,
+    EditPlanGenerationStatusResponse,
+)
+
+logger = logging.getLogger(__name__)
+router = APIRouter(tags=["Template Editor"])
+
+
+@router.post("/generate", response_model=EditPlanGenerateResponse)
+def generate_editor_draft(
+    template_id: str,
+    plan_id: str = Depends(get_draft_plan_id),
+    services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
+    db: Session = Depends(get_db_session),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+    asset_library_repo: Any = Depends(get_asset_library_repository),
+    asset_repo: Any = Depends(get_asset_repository),
+) -> EditPlanGenerateResponse:
+    """触发模板草稿渲染生成"""
+    _, plan_svc = services
+    plan_check = plan_svc.get_plan_or_raise(plan_id)
+
+    # 自动兜底流程
+    _auto_fallback_draft_to_editing(plan_svc, plan_id, plan_check)
+    _auto_fallback_copy_template_clips(plan_svc, plan_id, plan_check, db)
+    clips_without_asset = _auto_fallback_assign_assets(plan_svc, plan_id, plan_check)
+    _auto_fallback_auto_material_mode(
+        plan_svc, plan_id, plan_check, clips_without_asset, asset_library_repo, asset_repo
+    )
+
+    # 检查是否可生成
+    try:
+        can_gen, reason = plan_svc.can_generate(plan_id)
+    except ValueError as exc:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)
+        ) from exc
+    if not can_gen:
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST, detail=reason
+        )
+
+    try:
+        clip_count = plan_svc.mark_clips_ready(plan_id)
+
+        gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
+        user_id = current_user.user.id
+        _check_queue_limits(gen_task_repo, user_id)
+
+        gen_task_use_case = CreateGenerationTaskUseCase(gen_task_repo)
+        plan = plan_svc.get_plan_or_raise(plan_id)
+        config_asset_ids = (plan.config or {}).get("asset_ids", [])
+        gen_task = gen_task_use_case.execute(
+            CreateGenerationTaskCommand(
+                project_id=plan.project_id or "",
+                template_id=plan.template_id,
+                created_by_user_id=current_user.user.id,
+                source_edit_plan_id=plan_id,
+                asset_ids=list(config_asset_ids) if config_asset_ids else [],
+            ),
+        )
+
+        plan_svc.update_plan_config(plan_id, {"generation_task_id": gen_task.id})
+        plan_svc.transition_status(plan_id, EditPlanStatus.RENDERING)
+        celery_app.send_task("worker.render_edit_plan", args=[plan_id])
+
+        updated_plan = plan_svc.get_plan_or_raise(plan_id)
+
+        logger.info(
+            "模板编辑器触发生成: template_id=%s plan_id=%s gen_task_id=%s clips=%d by user=%s",
+            template_id,
+            plan_id,
+            gen_task.id,
+            clip_count,
+            current_user.user.id,
+        )
+
+        return EditPlanGenerateResponse(
+            plan_id=plan_id,
+            plan_status=updated_plan.status.value
+            if hasattr(updated_plan.status, "value")
+            else updated_plan.status,
+            generation_task_id=gen_task.id,
+            clip_count=clip_count,
+        )
+    except HTTPException:
+        raise
+    except Exception as _e:
+        logger.exception(
+            "模板编辑器触发生成失败: template_id=%s plan_id=%s",
+            template_id,
+            plan_id,
+        )
+        try:
+            plan_svc.transition_status(plan_id, EditPlanStatus.FAILED)
+        except Exception:
+            pass
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail="生成失败，请稍后重试",
+        ) from _e
+
+
+@router.get("/generation-status", response_model=EditPlanGenerationStatusResponse)
+def get_editor_generation_status(
+    template_id: str,
+    plan_id: str = Depends(get_draft_plan_id),
+    services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
+    storage_service: OSSStorageService = Depends(get_storage_service),
+    _: AuthenticatedUser = Depends(get_current_user),
+) -> EditPlanGenerationStatusResponse:
+    """查询草稿生成进度"""
+    _, plan_svc = services
+    try:
+        gen_status = plan_svc.get_generation_status(plan_id)
+    except ValueError as exc:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)
+        ) from exc
+
+    plan = gen_status["plan"]
+    clips = gen_status["clips"]
+
+    clip_items = [
+        ClipStatusItem(
+            clip_id=c.id,
+            clip_type=c.clip_type,
+            order=c.order,
+            status=c.status.value if hasattr(c.status, "value") else c.status,
+            asset_id=c.asset_id or "",
+            text_content=c.text_content or "",
+            duration=c.duration,
+        )
+        for c in clips
+    ]
+
+    raw_video_url = (plan.config or {}).get("rendered_url", "")
+    video_url = ""
+    if raw_video_url:
+        try:
+            video_url = storage_service.get_download_url(
+                raw_video_url, expires_seconds=86400
+            )
+        except Exception as e:
+            logger.warning(
+                "生成视频签名URL失败: template_id=%s error=%s", template_id, e
+            )
+            video_url = raw_video_url
+
+    progress = gen_status.get("progress", 0.0)
+    error_message = gen_status.get("error_message", "")
+    gen_task_status = gen_status.get("generation_task_status")
+    plan_status_val = (
+        plan.status.value if hasattr(plan.status, "value") else plan.status
+    )
+    if plan_status_val == "completed" and progress < 100:
+        progress = 100.0
+
+    return EditPlanGenerationStatusResponse(
+        plan_id=plan_id,
+        plan_status=plan_status_val,
+        generation_task_id=gen_status["generation_task_id"],
+        generation_task_status=gen_task_status,
+        progress=progress,
+        video_url=video_url,
+        error_message=error_message,
+        clips=clip_items,
+    )
+
+
+@router.get("/generations", response_model=EditPlanGenerationsResponse)
+def list_editor_generations(
+    template_id: str,
+    plan_id: str = Depends(get_draft_plan_id),
+    services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
+    db: Session = Depends(get_db_session),
+    _: AuthenticatedUser = Depends(get_current_user),
+) -> EditPlanGenerationsResponse:
+    """查询草稿关联的生成记录列表"""
+    _, plan_svc = services
+    plan_svc.get_plan_or_raise(plan_id)
+
+    gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
+    tasks = gen_task_repo.list_by_source_edit_plan(plan_id)
+    items = [
+        GenerationTaskResponse(
+            id=t.id,
+            project_id=t.project_id,
+            asset_library_id=t.asset_library_id,
+            strategy_id=t.strategy_id,
+            voice_library_id=t.voice_library_id,
+            template_id=t.template_id,
+            asset_ids=t.asset_ids,
+            title_ids=t.title_ids,
+            voice_ids=t.voice_ids,
+            source_edit_plan_id=t.source_edit_plan_id or "",
+            status=t.status.value if hasattr(t.status, "value") else t.status,
+            progress=t.progress,
+            result_count=t.result_count,
+            error_message=t.error_message,
+        )
+        for t in tasks
+    ]
+    return EditPlanGenerationsResponse(items=items, total=len(items))
@@ -8,6 +8,7 @@ from __future__ import annotations
 import re as _re
 from typing import Any, List, Optional

+from app.schemas.generation_task import GenerationTaskResponse
 from pydantic import BaseModel, Field, validator

 _EXPORT_RESOLUTION_PATTERN = _re.compile(r"^\d+x\d+$")
@@ -15,6 +16,50 @@ _EXPORT_VALID_QUALITY_PRESETS = {"ultra_fast", "fast", "balanced", "high", "best
 _EXPORT_VALID_FORMATS = {"mp4", "mov"}


+# ── 生成状态相关 ────────────────────────────────────────────────────────────
+
+
+class ClipStatusItem(BaseModel):
+    """片段生成状态"""
+
+    clip_id: str
+    clip_type: str
+    order: int
+    status: str
+    asset_id: str
+    text_content: str
+    duration: float
+
+
+class EditPlanGenerationStatusResponse(BaseModel):
+    """剪辑计划生成进度响应体"""
+
+    plan_id: str
+    plan_status: str
+    generation_task_id: Optional[str] = None
+    generation_task_status: Optional[str] = None
+    progress: float = 0.0
+    video_url: str = ""
+    error_message: str = ""
+    clips: List[ClipStatusItem]
+
+
+class EditPlanGenerateResponse(BaseModel):
+    """剪辑计划触发生成响应体"""
+
+    plan_id: str
+    plan_status: str
+    generation_task_id: str
+    clip_count: int
+
+
+class EditPlanGenerationsResponse(BaseModel):
+    """剪辑计划关联的生成记录列表响应体"""
+
+    items: List[GenerationTaskResponse]
+    total: int
+
+
 # ── AI 推荐 ────────────────────────────────────────────────────────────────


@@ -22,8 +67,12 @@ class AIRecommendRequest(BaseModel):
    """AI 推荐片段方案请求体"""

    asset_ids: List[str] = Field(default_factory=list, description="素材 ID 列表")
-    editing_mode: str = Field(default="one_take", description="剪辑模式: one_take / pip / voice_over / voice_pip")
-    target_duration: float = Field(default=30.0, ge=1.0, le=600.0, description="目标时长（秒）")
+    editing_mode: str = Field(
+        default="one_take", description="剪辑模式: one_take / pip / voice_over / voice_pip"
+    )
+    target_duration: float = Field(
+        default=30.0, ge=1.0, le=600.0, description="目标时长（秒）"
+    )


 class AIRecommendClipItem(BaseModel):
@@ -50,6 +99,31 @@ class AIRecommendResponse(BaseModel):
    confidence: float = Field(..., ge=0.0, le=1.0, description="AI 推荐置信度 (0~1)")


+# ── 封面生成 ────────────────────────────────────────────────────────────────
+
+
+class GenerateCoverRequest(BaseModel):
+    """AI 封面生成请求体"""
+
+    asset_ids: List[str] = Field(default_factory=list, description="素材 ID 列表（确定视频来源）")
+    cover_type: str = Field(
+        default="ai_frame",
+        description="封面类型: ai_frame / manual / upload / ai_regenerate",
+    )
+    frame_time: Optional[float] = Field(
+        default=None,
+        ge=0.0,
+        description="手动选帧时间点（秒），仅 cover_type=manual 时有效",
+    )
+
+
+class GenerateCoverResponse(BaseModel):
+    """AI 封面生成响应体"""
+
+    plan_id: str = Field(..., description="剪辑计划 ID")
+    cover: dict[str, Any] = Field(..., description="封面数据（type / image_url / frame_time 等）")
+
+
 # ── BGM ────────────────────────────────────────────────────────────────────


@@ -165,20 +239,10 @@ class ClipBatchDeleteResponse(BaseModel):
 class ClipsFromAssetsRequest(BaseModel):
    """从素材批量创建片段请求"""

-    asset_ids: List[str] = Field(..., min_length=1, max_length=200, description="素材 ID 列表，按顺序追加到时间线末尾")
-    clip_type: str = Field(default="main", description="片段类型，默认 main")
-    required_clips_count: Optional[int] = Field(
-        default=None, ge=1, le=200, description="要求创建的片段数量；不传则等于素材数量"
+    asset_ids: List[str] = Field(
+        ..., min_length=1, max_length=200, description="素材 ID 列表，按顺序追加到时间线末尾"
    )
-
-    @validator("asset_ids", pre=True)
-    def _drop_invalid_asset_ids(cls, v):  # noqa: N805
-        """容错过滤：前端异常情况下可能把 undefined 序列化成 null 或空串混入
-        asset_ids（会直接 422 或导致后续 /assets/{id} 404），这里统一剔除。
-        过滤后为空时由 Field(min_length=1) / 路由层 400 兜底。"""
-        if not isinstance(v, list):
-            return v
-        return [x for x in v if isinstance(x, str) and x.strip()]
+    clip_type: str = Field(default="main", description="片段类型，默认 main")


 class ClipsFromAssetsResponse(BaseModel):
@@ -186,16 +250,50 @@ class ClipsFromAssetsResponse(BaseModel):

    success: bool = True
    created_count: int
-    plan_id: str = ""
    message: str = ""
    clip_ids: List[str] = Field(default_factory=list, description="创建的片段ID列表")
-    duplicate_warning: Optional[str] = Field(default=None, description="查重率超标警告")
-    exhaustion_warning: Optional[str] = Field(default=None, description="素材耗尽警告")


 # ── 封面配置 ────────────────────────────────────────────────────────────────


+class CoverConfigResponse(BaseModel):
+    """封面配置响应"""
+
+    type: str = Field(..., description="封面类型: ai_frame / manual / upload")
+    image_url: str = Field(default="", description="封面图片 URL")
+    frame_time: Optional[float] = Field(default=None, description="抽帧时间点（秒）")
+
+
+class CoverUpdateRequest(BaseModel):
+    """更新封面配置请求"""
+
+    type: Optional[str] = Field(default=None, description="封面类型")
+    image_url: Optional[str] = Field(default=None, description="封面图片 URL")
+    frame_time: Optional[float] = Field(default=None, ge=0.0, description="抽帧时间点（秒）")
+
+
+class CoverExtractRequest(BaseModel):
+    """从片段抽帧生成封面请求"""
+
+    clip_id: str = Field(..., description="片段 ID")
+    frame_time: float = Field(1.0, ge=0.0, description="抽帧时间点（秒）")
+
+
+class CoverSmartRequest(BaseModel):
+    """智能选帧请求"""
+
+    clip_id: Optional[str] = Field(default=None, description="指定片段 ID（不传则用第一个视频片段）")
+
+
+class CoverGenerateResponse(BaseModel):
+    """封面生成响应"""
+
+    type: str = Field(..., description="封面类型")
+    image_url: str = Field(..., description="封面图片 URL")
+    frame_time: Optional[float] = Field(default=None, description="抽帧时间点（秒）")
+
+
 # ── 导出配置 ────────────────────────────────────────────────────────────────


@@ -401,28 +499,17 @@ class EditorUpdateRequest(BaseModel):


 class EditorClipResponse(BaseModel):
-    """片段响应 — 与数据库 edit_plan_clips 表字段对齐"""
+    """片段响应"""

    id: str
    plan_id: str
    clip_type: str
    order: int
    duration: float
-    start_time: float = 0.0
    text_content: str = ""
    transition_effect: str = "cut"
-    transition_duration: float = 0.0
    playback_speed: float = 1.0
-    asset_id: str = ""
-    asset_url: str | None = Field(
-        default=None,
-        description="素材视频签名URL（1小时有效），用于前端预览播放",
-    )
-    status: str = "pending"
-    template_clip_config_id: str = ""
    config: dict[str, Any] = Field(default_factory=dict)
-    created_at: str = ""
-    updated_at: str = ""


 class EditorClipListResponse(BaseModel):
@@ -454,28 +541,6 @@ class EditorClipUpdateRequest(BaseModel):
    config: Optional[dict[str, Any]] = None


-class EditorClipBatchItem(BaseModel):
-    """批量更新clips的单个片段"""
-
-    asset_id: str = Field(default="", max_length=100, description="关联素材ID，可为空（占位片段）")
-    start_time: float = Field(default=0.0, ge=0.0)
-    duration: float = Field(default=0.0, ge=0.0)
-    order: Optional[int] = Field(default=None, ge=0, description="排序，None表示按数组顺序")
-
-
-class EditorClipBatchUpdateRequest(BaseModel):
-    """批量替换clips请求（全量覆盖）"""
-
-    clips: List[EditorClipBatchItem] = Field(default_factory=list)
-
-
-class EditorClipBatchUpdateResponse(BaseModel):
-    """批量更新clips响应"""
-
-    plan_id: str
-    clip_count: int
-
-
 class EditorPublishResponse(BaseModel):
    """发布草稿响应"""

@@ -2,44 +2,36 @@

 from __future__ import annotations

-import json
 import logging
-import subprocess
-import tempfile
-from pathlib import Path
-from typing import Any, Optional
+from typing import Optional

 from app.auth import AuthenticatedUser, get_current_user
 from app.core.celery_app import celery_app
-from app.core.storage import get_storage_service
 from app.dependencies import (
-    get_asset_library_repository,
-    get_asset_repository,
    get_audio_url_signer,
    get_cosyvoice_service,
    get_db_session,
-    get_project_repository,
+    get_user_repository,
    get_voice_clone_profile_repository,
+    get_voice_library_repository,
 )
 from app.schemas.tts import (
    ListTTSJobResponse,
    SaveToLibraryRequest,
    SaveToLibraryResponse,
    TTSJobResponse,
-    TTSPreviewRequest,
-    TTSPreviewResponse,
    TTSStatusResponse,
    TTSSynthesizeRequest,
    TTSSynthesizeResponse,
 )
 from fastapi import APIRouter, Depends, HTTPException, Query, Response, WebSocket, WebSocketDisconnect, status
-from sqlalchemy.exc import IntegrityError
 from sqlalchemy.orm import Session

 from packages.adapters.sqlalchemy_impl.tts_job_repository import (
    SQLAlchemyTTSJobRepository,
 )
-from packages.application.cosyvoice_service import CosyVoiceError, CosyVoiceService
+from packages.adapters.sqlalchemy_impl.voice_library_repository import SQLAlchemyVoiceLibraryRepository
+from packages.application.cosyvoice_service import CosyVoiceService
 from packages.application.tts_job.streaming_service import TTSStreamingService
 from packages.application.tts_job.use_cases import (
    CreateTTSJobUseCase,
@@ -50,12 +42,13 @@ from packages.application.tts_job.use_cases import (
    TTSJobNotFoundError,
 )
 from packages.application.tts_job.workflow import TTSWorkflowService
-from packages.domain import Asset, AssetLibrary, AssetLibraryKind, AssetStatus, ClassificationStatus
+from packages.application.voice_library.commands import CreateVoiceLibraryCommand
+from packages.application.voice_library.use_cases import (
+    CreateVoiceLibraryUseCase,
+    QuotaExceededError,
+)
 from packages.domain.voice_presets import list_voices
-from packages.ports.asset_library_repository import AssetLibraryRepository
-from packages.ports.asset_repository import AssetRepository
-from packages.ports.project_repository import ProjectRepository
-from packages.shared.storage import SharedStorageService
+from packages.ports.user_repository import UserRepository

 logger = logging.getLogger(__name__)

@@ -139,47 +132,27 @@ def synthesize(
    """
    user_id = authenticated_user.user.id

-    # 解析 voice_id：前端可能传克隆音色 profile UUID（而非 CosyVoice voice_id），
-    # 与 /tts/preview 保持一致：命中 profile → 校验归属 → 取 CosyVoice voice_id
-    actual_voice_id = request.voice_id
-    voice_clone_profile_id = request.voice_clone_profile_id
-    resolved_profile = None
-    if actual_voice_id:
-        resolved_profile = voice_clone_repo.get(actual_voice_id)
-        if resolved_profile is not None:
-            voice_clone_profile_id = actual_voice_id
-
-    # 显式传了 voice_clone_profile_id（且与 voice_id 不同）时再查一次归属
-    if voice_clone_profile_id and (resolved_profile is None or resolved_profile.id != voice_clone_profile_id):
-        resolved_profile = voice_clone_repo.get(voice_clone_profile_id)
-        if resolved_profile is None:
+    # 校验 voice_clone_profile_id 归属（防止越权使用他人克隆音色）
+    if request.voice_clone_profile_id:
+        profile = voice_clone_repo.get(request.voice_clone_profile_id)
+        if profile is None:
            raise HTTPException(
                status_code=status.HTTP_404_NOT_FOUND,
                detail="Voice clone profile not found",
            )
-
-    if resolved_profile is not None:
-        if resolved_profile.user_id != user_id:
+        if profile.user_id != user_id:
            raise HTTPException(
                status_code=status.HTTP_403_FORBIDDEN,
-                detail="无权访问该音色",
+                detail="Access denied to voice clone profile",
            )
-        if not resolved_profile.voice_id:
-            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail="音色克隆尚未完成，请稍后再试",
-            )
-        # 命中克隆音色：无论 voice_id 直接传 profile UUID 还是显式传 voice_clone_profile_id，
-        # job.voice_id 统一存解析后的 CosyVoice voice_id
-        actual_voice_id = resolved_profile.voice_id

    use_case = CreateTTSJobUseCase(repository)
    job = use_case.execute(
        user_id=user_id,
        input_text=request.text,
-        voice_id=actual_voice_id,
+        voice_id=request.voice_id,
        voice_model=request.voice_model,
-        voice_clone_profile_id=voice_clone_profile_id,
+        voice_clone_profile_id=request.voice_clone_profile_id,
        metadata=request.metadata_,
    )

@@ -309,62 +282,6 @@ def delete_tts_job(
    return


-def _find_or_create_voice_library(
-    *,
-    user_id: str,
-    project_repository: ProjectRepository,
-    asset_library_repository: Any,  # port Protocol 声明为 async，SQLAlchemy 实现为同步，与 upload/asset_libraries 路由惯例一致用 Any
-) -> AssetLibrary:
-    """在用户可访问的项目中找到（或自动创建）voice 素材库。
-
-    与前端配音素材页逻辑一致：素材库挂在项目下，配音素材读取
-    getAssetsByKind("voice") → 用户所有可访问项目中的 voice 库。
-    优先使用已有 voice 库；没有则在第一个可访问项目中自动创建。
-    """
-    projects = project_repository.find_accessible_projects(user_id)
-    if not projects:
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail="没有可用的项目，请先创建项目后再保存配音素材",
-        )
-
-    for project in projects:
-        for lib in asset_library_repository.find_by_project(project.id):
-            kind = lib.kind.value if hasattr(lib.kind, "value") else lib.kind
-            if kind == AssetLibraryKind.VOICE.value:
-                return lib
-
-    # 所有项目都没有 voice 库 → 在第一个可访问项目中自动创建默认配音素材库。
-    # asset_libraries 有 (project_id, kind) 唯一索引兜底并发：若两个请求同时创建，
-    # 落败方捕获 IntegrityError 回滚后重新查询，返回抢先创建成功的库。
-    project = projects[0]
-    library = AssetLibrary.create(
-        project_id=project.id,
-        name="配音素材库",
-        kind=AssetLibraryKind.VOICE,
-    )
-    try:
-        return asset_library_repository.create(library)
-    except IntegrityError:
-        # 并发下另一个请求已抢先创建：回滚当前事务（立即 commit 模式下 session 已
-        # 自动回滚，rollback 为幂等 no-op；UoW/flush 模式下必须显式回滚才能继续查询），
-        # 再重查返回抢先创建成功的库。
-        session = getattr(asset_library_repository, "session", None)
-        if session is not None:
-            try:
-                session.rollback()
-            except Exception:
-                logger.warning("IntegrityError 后回滚 session 失败（可能已关闭）", exc_info=True)
-        for lib in asset_library_repository.find_by_project(project.id):
-            kind = lib.kind.value if hasattr(lib.kind, "value") else lib.kind
-            if kind == AssetLibraryKind.VOICE.value:
-                return lib
-        raise HTTPException(
-            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-            detail="配音素材库创建失败，请重试",
-        ) from None  # IntegrityError 已处理，不保留异常链
-
-
@router.post(
    "/jobs/{job_id}/save-to-library",
    response_model=SaveToLibraryResponse,
@@ -375,17 +292,13 @@ def save_tts_job_to_library(
    request: SaveToLibraryRequest = SaveToLibraryRequest(),
    authenticated_user: AuthenticatedUser = Depends(get_current_user),
    tts_repository: SQLAlchemyTTSJobRepository = Depends(_get_repository),
-    asset_repository: AssetRepository = Depends(get_asset_repository),
-    asset_library_repository: AssetLibraryRepository = Depends(get_asset_library_repository),
-    project_repository: ProjectRepository = Depends(get_project_repository),
-    storage_service: SharedStorageService = Depends(get_storage_service),
+    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素材库（assets 表新素材体系）。
+    """将已完成的 TTS 合成结果保存到配音库。

-    流程：把 TTS 输出音频转存到用户素材 OSS 路径 → 创建 file_type=audio、
-    status=ready 的 asset（挂用户 voice 素材库）→ 返回前端可用结构。
-    配额策略与素材上传一致（上传/ingest 链路无额外配额拦截）。
+    自动携带音色名、时长、语速等元信息。
    """
    user_id = authenticated_user.user.id

@@ -403,185 +316,60 @@ def save_tts_job_to_library(
            detail="TTS job is not completed yet",
        )

-    if not job.output_audio_url and not job.output_audio_key:
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail="TTS job 缺少输出音频，无法保存",
-        )
-
-    # 素材名称
+    # 构建配音素材名称
    name = request.name or f"TTS-{job.id[:8]}"

-    # 找到（或自动创建）用户 voice 素材库
-    library = _find_or_create_voice_library(
-        user_id=user_id,
-        project_repository=project_repository,
-        asset_library_repository=asset_library_repository,
-    )
-
-    # 转存音频到素材 OSS 路径（tts-outputs/ 下的产物归 TTS 任务所有，
-    # 素材独立持有副本，删除 TTS 任务不影响配音库素材）
-    audio_format = (job.format or "mp3").strip() or "mp3"
-    content_type_map = {
-        "mp3": "audio/mpeg",
-        "wav": "audio/wav",
-        "pcm": "audio/pcm",
-        "opus": "audio/opus",
-    }
-    content_type = content_type_map.get(audio_format, "audio/mpeg")
-    storage_key = f"uploads/voice/tts/{job.id}.{audio_format}"
-
-    tmp_path: Path | None = None
-    audio_duration: float | None = None
-    file_size = 0
-    try:
-        with tempfile.NamedTemporaryFile(suffix=f".{audio_format}", delete=False) as tmp:
-            tmp_path = Path(tmp.name)
-        # 优先用 OSS storage_key（走 oss2 SDK，私有 bucket 也可下载）；
-        # 兜底用 output_audio_url（旧任务可能没有 key）。
-        # download_asset 自动识别输入：http(s):// 开头走 HTTP 下载，否则按 OSS key 走 SDK。
-        download_source = job.output_audio_key or job.output_audio_url
-        downloaded = storage_service.download_asset(download_source, tmp_path)
-        if not downloaded or not tmp_path.exists() or tmp_path.stat().st_size == 0:
-            raise HTTPException(
-                status_code=status.HTTP_502_BAD_GATEWAY,
-                detail="TTS 音频下载失败，无法保存到配音库",
-            )
-        file_size = tmp_path.stat().st_size
-        storage_service.upload_file(tmp_path, storage_key, content_type=content_type)
-
-        # 从音频文件提取时长（ffprobe），作为 job.duration 的兜底
-        try:
-            proc = subprocess.run(
-                [
-                    "ffprobe", "-v", "quiet", "-print_format", "json",
-                    "-show_format", str(tmp_path),
-                ],
-                capture_output=True, text=True, timeout=10,
-            )
-            if proc.returncode == 0:
-                fmt = json.loads(proc.stdout).get("format", {})
-                dur = float(fmt.get("duration", 0))
-                if dur > 0:
-                    audio_duration = dur
-        except Exception:
-            logger.warning("ffprobe 提取时长失败: job_id=%s", job.id, exc_info=True)
-    except HTTPException:
-        raise
-    except Exception as e:
-        logger.error("TTS 音频转存素材失败: job_id=%s, error=%s", job.id, e, exc_info=True)
-        raise HTTPException(
-            status_code=status.HTTP_502_BAD_GATEWAY,
-            detail="TTS 音频转存失败，无法保存到配音库",
-        ) from e
-    finally:
-        if tmp_path and tmp_path.exists():
-            try:
-                tmp_path.unlink()
-            except OSError:
-                pass
-
-    # 构建素材元信息
-    metadata_: dict[str, object] = {
+    # 构建元信息
+    metadata_ = {
        "source": "tts_job",
        "tts_job_id": job.id,
        "format": job.format,
        "sample_rate": job.sample_rate,
-        "voice_id": job.voice_id,
-        "voice_name": job.voice_model or "",
    }
    if job.metadata:
+        # 保留原始 job 的有用元信息
        for key in ("speed", "language"):
            if key in job.metadata:
                metadata_[key] = job.metadata[key]

-    asset = Asset.create(
-        project_id=library.project_id,
-        library_id=library.id,
-        name=name,
-        storage_key=storage_key,
-        mime_type=content_type,
-        metadata=metadata_,
-        file_size=file_size,
-        duration=job.duration or audio_duration or None,
-        status=AssetStatus.READY,
-        classification_status=ClassificationStatus.PENDING,  # 音频不参与内容分类，保持 pending 与 ingest 链路一致
-        uploaded_by_user_id=user_id,
-    )
-    try:
-        asset = asset_repository.create(asset)
-    except Exception as e:
-        # DB 写入失败：清理已上传到 OSS 的素材文件，避免产生无法索引的孤儿文件
-        logger.error("素材记录创建失败，清理 OSS 文件: %s, error=%s", storage_key, e, exc_info=True)
-        try:
-            storage_service.delete_file(storage_key)
-        except Exception:
-            logger.warning("清理孤儿 OSS 文件失败: %s", storage_key, exc_info=True)
-        raise HTTPException(
-            status_code=status.HTTP_502_BAD_GATEWAY,
-            detail="素材保存失败，请重试",
-        ) from e
+    # 获取用户套餐（用于配额检查）
+    user = user_repository.find_by_id(user_id)
+    plan_name = getattr(user, "subscription_plan", "free") if user else "free"

-    return SaveToLibraryResponse(
-        id=asset.id,
-        name=asset.name,
-        audio_url=sign_url(storage_key),
-        duration=asset.duration or 0.0,
+    # 构建命令并执行
+    command = CreateVoiceLibraryCommand(
+        user_id=user_id,
+        name=name,
+        text=job.input_text,
+        voice_provider="cosyvoice",
        voice_id=job.voice_id,
        voice_name=job.voice_model or "",
+        audio_url=job.output_audio_url,
+        duration=job.duration,
+        file_size=job.file_size,
        status="completed",
+        project_id=job.project_id or "",
+        tags=[],
+        metadata_=metadata_,
    )

-
-@router.post("/preview", response_model=TTSPreviewResponse)
-def preview_tts(
-    request: TTSPreviewRequest,
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    cosyvoice_service: CosyVoiceService = Depends(get_cosyvoice_service),
-    voice_clone_repo=Depends(get_voice_clone_profile_repository),
-) -> TTSPreviewResponse:
-    """TTS 预览（试听）——同步合成，立即返回音频 URL。
-
-    用于前端预览配音效果，限制文本长度 200 字以内。
-    支持预设音色和克隆音色：克隆音色传的是 profile UUID，需解析为 CosyVoice voice_id。
-    """
-    # 解析 voice_id：前端可能传 VoiceCloneProfile UUID 或预设音色 ID
-    actual_voice_id = request.voice_id
-    profile = voice_clone_repo.get(request.voice_id)
-    if profile is not None:
-        # 命中克隆音色 profile — 校验归属权限
-        if profile.user_id != authenticated_user.user.id:
-            raise HTTPException(
-                status_code=status.HTTP_403_FORBIDDEN,
-                detail="无权访问该音色",
-            )
-        if not profile.voice_id:
-            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail="音色克隆尚未完成，请稍后再试",
-            )
-        actual_voice_id = profile.voice_id
-
+    use_case = CreateVoiceLibraryUseCase(voice_library_repository)
    try:
-        result = cosyvoice_service.synthesize_speech(
-            text=request.text,
-            voice_id=actual_voice_id,
-            speed=request.speed,
-        )
-    except CosyVoiceError as e:
+        item = use_case.execute(command, plan_name=plan_name or "free")
+    except QuotaExceededError as exc:
        raise HTTPException(
-            status_code=status.HTTP_502_BAD_GATEWAY,
-            detail=f"TTS 合成失败: {e}",
-        ) from e
-    except ValueError as e:
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail=str(e),
-        ) from e
+            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",
+        ) from exc

-    return TTSPreviewResponse(
-        audio_url=result.audio_url,
-        duration=result.duration if result.duration and result.duration > 0 else None,
+    return SaveToLibraryResponse(
+        id=item.id,
+        name=item.name,
+        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,
+        status=item.status,
    )


@@ -23,7 +23,6 @@ from app.schemas.upload import (
 from fastapi import APIRouter, Depends, File, Form, HTTPException, UploadFile, status

 from packages.application import SubmitIngestJobCommand, SubmitIngestJobUseCase
-from packages.domain import Asset, AssetStatus

 logger = logging.getLogger(__name__)

@@ -81,199 +80,12 @@ def _validate_mime_type(content_type: str | None) -> str:
    return base_type


-def _infer_mime_type_from_storage_key(storage_key: str) -> str:
-    """从 storage_key 推断 MIME 类型（与 worker 端保持一致）。"""
-    lower_filename = storage_key.rsplit("/", 1)[-1].lower()
-    _MIME_MAP = {
-        ".mov": "video/quicktime",
-        ".mp4": "video/mp4",
-        ".avi": "video/x-msvideo",
-        ".mkv": "video/x-matroska",
-        ".webm": "video/webm",
-        ".png": "image/png",
-        ".gif": "image/gif",
-        ".bmp": "image/bmp",
-        ".svg": "image/svg+xml",
-        ".jpg": "image/jpeg",
-        ".jpeg": "image/jpeg",
-        ".mp3": "audio/mpeg",
-        ".wav": "audio/wav",
-        ".ogg": "audio/ogg",
-        ".flac": "audio/flac",
-        ".m4a": "audio/x-m4a",
-    }
-    for ext, mime in _MIME_MAP.items():
-        if lower_filename.endswith(ext):
-            return mime
-    return "video/mp4"  # default
-
-
-# 兜底去重：无 file_hash / client_upload_id 且大小已知时，同库同名同大小近期活动记录视为重复
-FALLBACK_DEDUP_WINDOW_MINUTES = 30
-
-
-def _find_duplicate_asset(
-    asset_repository: Any,
-    *,
-    library_id: str,
-    file_hash: str,
-    client_upload_id: str,
-    filename: str,
-    file_size: int = 0,
-) -> Any:
-    """complete/上传幂等去重，按优先级查找已存在的素材。
-
-    1. client_upload_id（客户端幂等 token，同一次上传的重试保持一致）
-    2. file_hash（内容哈希，不同上传只要内容相同即去重）
-    3. 兜底（严格模式，宁可漏判不可误杀）：file_hash 与 client_upload_id
-       均缺失、且 file_size > 0 时，同库 + 同文件名 + **同大小** 且 30 分钟内
-       仍处 uploading/processing 的记录才判重。
-       - file_hash 非空时跳过兜底（hash 已代表内容；同名但内容全新的视频
-         如 iPhone 的 IMG_xxxx.MOV 绝不能被同名占位误杀）
-       - file_size=0（未知）时不允许仅凭同名 + processing 判重，直接放行
-
-    全部为鸭子类型调用：旧仓储无对应方法时静默跳过，不破坏既有实现。
-    """
-    if client_upload_id:
-        find = getattr(asset_repository, "find_by_library_and_client_upload_id", None)
-        if callable(find):
-            existing = find(library_id=library_id, client_upload_id=client_upload_id)
-            if existing is not None:
-                logger.info(
-                    "素材幂等命中(client_upload_id): library=%s token=%s asset=%s",
-                    library_id,
-                    client_upload_id,
-                    getattr(existing, "id", "?"),
-                )
-                return existing
-    if file_hash:
-        existing = asset_repository.find_by_library_and_file_hash(
-            library_id=library_id,
-            file_hash=file_hash,
-        )
-        if existing is not None:
-            logger.info(
-                "素材去重命中(file_hash): library=%s hash=%s asset=%s",
-                library_id,
-                file_hash,
-                existing.id,
-            )
-            return existing
-    # 同名兜底去重（最后防线，严格模式）：
-    # - 仅当 file_hash / client_upload_id 均缺失时启用（hash 能代表内容时不靠同名猜）
-    # - file_size 必须 > 0 且与记录大小严格一致；大小未知（0）直接放行
-    # - 只命中近期 UPLOADING/PROCESSING 活动记录（READY 历史素材不拦）
-    if filename and not file_hash and not client_upload_id and file_size and file_size > 0:
-        find_recent = getattr(asset_repository, "find_recent_active_by_library_and_name", None)
-        if callable(find_recent):
-            existing = find_recent(
-                library_id=library_id,
-                name=filename,
-                within_minutes=FALLBACK_DEDUP_WINDOW_MINUTES,
-                file_size=file_size,
-            )
-            if existing is not None:
-                logger.info(
-                    "素材幂等兜底命中(近期同名同大小活动记录): library=%s name=%s asset=%s status=%s size=%s",
-                    library_id,
-                    filename,
-                    getattr(existing, "id", "?"),
-                    getattr(existing, "status", None),
-                    file_size,
-                )
-                return existing
-    elif filename and not file_hash and not client_upload_id and not file_size:
-        logger.debug(
-            "同名兜底去重跳过(file_size 未知，宁可放行不可误杀): library=%s name=%s",
-            library_id,
-            filename,
-        )
-    return None
-
-
-def _create_pending_asset(
-    asset_repository,
-    project_id,
-    library_id,
-    storage_key,
-    filename,
-    mime_type,
-    user_id,
-    file_hash="",
-    client_upload_id="",
-    file_size: int = 0,
-):
-    """立即创建或复用一条 PROCESSING 状态的 Asset 记录。
-
-    find-or-create：prepare 阶段已按 file_hash/client_upload_id 预建的占位记录
-    会被 find_by_library_and_file_hash/find_by_library_and_client_upload_id 命中，
-    直接复用并补齐字段（避免 pre-create + complete 重复建两条）。
-
-    Issue #1776: 素材库计数由 asset_repository.create() 自动维护。
-    """
-    # 1. 按 client_upload_id / file_hash 查找现有记录
-    existing = None
-    if client_upload_id:
-        find_by_cuid = getattr(asset_repository, "find_by_library_and_client_upload_id", None)
-        if callable(find_by_cuid):
-            existing = find_by_cuid(library_id=library_id, client_upload_id=client_upload_id)
-    if existing is None and file_hash:
-        existing = asset_repository.find_by_library_and_file_hash(library_id=library_id, file_hash=file_hash)
-    if existing is not None:
-        # 补齐字段（幂等：避免重复建记录，前端已拿到 asset_id）
-        changed = False
-        if file_hash and not existing.file_hash:
-            existing.file_hash = file_hash
-            changed = True
-        if client_upload_id and not existing.client_upload_id:
-            existing.client_upload_id = client_upload_id
-            changed = True
-        if file_size and not existing.file_size:
-            existing.file_size = file_size
-            changed = True
-        if existing.status not in (AssetStatus.PROCESSING, AssetStatus.UPLOADING):
-            existing.status = AssetStatus.PROCESSING
-            changed = True
-        if changed:
-            try:
-                asset_repository.update(existing)
-            except Exception:  # noqa: BLE001 — 字段补齐失败不阻塞主流程
-                pass
-        return existing
-
-    asset = Asset.create(
-        project_id=project_id,
-        library_id=library_id,
-        name=filename,
-        storage_key=storage_key,
-        mime_type=mime_type,
-        status=AssetStatus.PROCESSING,
-        uploaded_by_user_id=user_id,
-        file_hash=file_hash,
-        client_upload_id=client_upload_id,
-        file_size=file_size,
-    )
-    return asset_repository.create(asset)
-
-
-def _persist_celery_task_id(repo: Any, job: Any, celery_task_id: str) -> None:
-    """记录 celery 消息 ID 到任务行，供孤儿清理时 revoke/清除队列消息（#1714）。"""
-    if not celery_task_id:
-        return
-    try:
-        job.celery_task_id = celery_task_id
-        repo.update(job)
-    except Exception:  # noqa: BLE001 — 记录失败不影响主流程（执行前状态守卫兜底）
-        pass
-
-
 def _submit_ingest_job(
    project_id: str,
    library_id: str,
    storage_key: str,
    ingest_job_repository: Any,
    file_hash: str = "",
-    asset_id: str = "",
 ) -> Any:
    use_case = SubmitIngestJobUseCase(ingest_job_repository)
    job = use_case.execute(
@@ -282,11 +94,9 @@ def _submit_ingest_job(
            library_id=library_id,
            storage_key=storage_key,
            file_hash=file_hash,
-            asset_id=asset_id,
        )
    )
-    celery_result = celery_app.send_task("worker.ingest_asset", args=[job.id])
-    _persist_celery_task_id(ingest_job_repository, job, getattr(celery_result, "id", ""))
+    celery_app.send_task("worker.ingest_asset", args=[job.id])
    return job


@@ -296,15 +106,9 @@ async def prepare_direct_upload(
    authenticated_user: AuthenticatedUser = Depends(get_current_user),
    project_repository: Any = Depends(get_project_repository),
    asset_library_repository: Any = Depends(get_asset_library_repository),
-    asset_repository: Any = Depends(get_asset_repository),
    storage_service: OSSStorageService = Depends(get_storage_service),
 ) -> DirectUploadPrepareResponse:
-    """创建浏览器直传 OSS 的短期表单签名，并在签名前按 file_hash/client_upload_id 去重。
-
-    命中去重：直接返回 duplicated=True + skip_transfer=True（前端跳过 OSS 直传），
-    未命中：正常签名 OSS 并立即预建一条 PROCESSING 状态的 asset 记录占住
-    file_hash 闸门，响应带 asset_id 供前端/后续 complete 关联。
-    """
+    """创建浏览器直传 OSS 的短期表单签名。"""
    settings = get_settings()
    max_size_bytes = settings.OSS_DIRECT_UPLOAD_MAX_MB * 1024 * 1024
    if request.file_size > max_size_bytes:
@@ -323,39 +127,8 @@ async def prepare_direct_upload(
        asset_library_repository,
    )

-    safe_filename = request.filename.replace("/", "_").replace("\\", "_")
-
-    # ── prepare 阶段去重：OSS 签名之前先查已存在素材 ──
-    if request.file_hash or request.client_upload_id:
-        existing = _find_duplicate_asset(
-            asset_repository,
-            library_id=request.library_id,
-            file_hash=request.file_hash,
-            client_upload_id=request.client_upload_id,
-            filename=request.filename,
-            file_size=request.file_size,
-        )
-        if existing is not None:
-            logger.info(
-                "prepare 命中去重: library=%s hash=%s cuid=%s existing_asset=%s",
-                request.library_id,
-                request.file_hash,
-                request.client_upload_id,
-                existing.id,
-            )
-            return DirectUploadPrepareResponse(
-                upload_url="",
-                method="",
-                storage_key=existing.storage_key,
-                expires_at="",
-                fields={},
-                max_size_bytes=0,
-                duplicated=True,
-                skip_transfer=True,
-                asset_id=existing.id,
-            )
-
    file_id = uuid4().hex[:8]
+    safe_filename = request.filename.replace("/", "_").replace("\\", "_")
    storage_key = f"uploads/{file_id}/{safe_filename}"
    try:
        payload = storage_service.create_direct_upload_post(
@@ -374,28 +147,6 @@ async def prepare_direct_upload(
            detail=f"Failed to prepare upload: {type(error).__name__}",
        ) from error

-    # ── 预建 asset 占位：占住 file_hash/client_upload_id 闸门，避免并发重复上传 ──
-    pending_asset_id = ""
-    if request.file_hash or request.client_upload_id:
-        try:
-            pending = _create_pending_asset(
-                asset_repository=asset_repository,
-                project_id=request.project_id,
-                library_id=request.library_id,
-                storage_key=storage_key,
-                filename=safe_filename,
-                mime_type=validated_content_type,
-                user_id=authenticated_user.user.id,
-                file_hash=request.file_hash,
-                client_upload_id=request.client_upload_id,
-                file_size=request.file_size,
-            )
-            pending_asset_id = pending.id
-            # Issue #1776: 计数由 asset_repository.create() 自动维护
-        except Exception as error:
-            # 预建失败不阻塞签名：complete 仍可按 OSS 文件 + hash 兜底去重
-            logger.warning("预建 asset 占位失败，降级走 old flow: %s", error)
-
    return DirectUploadPrepareResponse(
        upload_url=str(payload["url"]),
        method=str(payload["method"]),
@@ -403,9 +154,6 @@ async def prepare_direct_upload(
        expires_at=str(payload["expires_at"]),
        fields={str(key): str(value) for key, value in dict(payload["fields"]).items()},
        max_size_bytes=max_size_bytes,
-        duplicated=False,
-        skip_transfer=False,
-        asset_id=pending_asset_id,
    )


@@ -419,7 +167,7 @@ async def complete_direct_upload(
    asset_repository: Any = Depends(get_asset_repository),
    storage_service: OSSStorageService = Depends(get_storage_service),
 ) -> DirectUploadCompleteResponse:
-    """确认浏览器直传完成并创建导入任务（幂等：重复 complete 返回同一素材）。"""
+    """确认浏览器直传完成并创建导入任务。"""
    require_project_and_library(
        request.project_id,
        request.library_id,
@@ -429,29 +177,6 @@ async def complete_direct_upload(
    normalized_key = storage_service._normalize_storage_key(request.storage_key)
    if not normalized_key.startswith("uploads/"):
        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Invalid upload key")
-
-    filename = normalized_key.rsplit("/", 1)[-1]
-
-    # ── 幂等去重（放在 OSS 检查之前）：complete 超时后前端重试时，
-    # 第一次 complete 可能已建好占位记录，此时即使 OSS 检查失败也必须返回
-    # 已存在记录，绝不能再建第二条。─
-    existing = _find_duplicate_asset(
-        asset_repository,
-        library_id=request.library_id,
-        file_hash=request.file_hash,
-        client_upload_id=request.client_upload_id,
-        filename=filename,
-        file_size=request.file_size,
-    )
-    if existing is not None:
-        return DirectUploadCompleteResponse(
-            storage_key=existing.storage_key,
-            ingest_job_id="",
-            duplicated=True,
-            asset_id=existing.id,
-            url=storage_service.get_url(existing.storage_key),
-        )
-
    try:
        file_exists = storage_service.file_exists(normalized_key)
    except Exception as error:
@@ -463,21 +188,25 @@ async def complete_direct_upload(
    if not file_exists:
        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Uploaded file not found")

-    # 立即创建 Asset 记录（PROCESSING 状态），使前端刷新后即可看到新素材
-    mime_type = _infer_mime_type_from_storage_key(normalized_key)
-    pending_asset = _create_pending_asset(
-        asset_repository=asset_repository,
-        project_id=request.project_id,
-        library_id=request.library_id,
-        storage_key=normalized_key,
-        filename=filename,
-        mime_type=mime_type,
-        user_id=authenticated_user.user.id,
-        file_hash=request.file_hash,
-        client_upload_id=request.client_upload_id,
-        file_size=request.file_size,
-    )
-    # Issue #1776: 计数由 asset_repository.create() 自动维护
+    # ── 素材去重检测：同素材库 + 同 file_hash 视为重复 ──
+    if request.file_hash:
+        existing = asset_repository.find_by_library_and_file_hash(
+            library_id=request.library_id,
+            file_hash=request.file_hash,
+        )
+        if existing is not None:
+            logger.info(
+                "素材去重命中: library=%s hash=%s existing_asset=%s",
+                request.library_id,
+                request.file_hash,
+                existing.id,
+            )
+            return DirectUploadCompleteResponse(
+                storage_key=normalized_key,
+                ingest_job_id="",
+                duplicated=True,
+                asset_id=existing.id,
+            )

    job = _submit_ingest_job(
        project_id=request.project_id,
@@ -485,14 +214,8 @@ async def complete_direct_upload(
        storage_key=normalized_key,
        ingest_job_repository=ingest_job_repository,
        file_hash=request.file_hash,
-        asset_id=pending_asset.id,
-    )
-    return DirectUploadCompleteResponse(
-        storage_key=normalized_key,
-        ingest_job_id=job.id,
-        asset_id=pending_asset.id,
-        url=storage_service.get_url(normalized_key),
    )
+    return DirectUploadCompleteResponse(storage_key=normalized_key, ingest_job_id=job.id)


@router.post(
@@ -505,8 +228,7 @@ async def upload_asset(
    project_id: str = Form(..., min_length=1, description="项目 ID"),
    library_id: str = Form(..., min_length=1, description="素材库 ID"),
    file: UploadFile = File(..., description="要上传的文件（视频、音频、图片等）"),
-    file_hash: str = Form(default="", description="文件哈希，用于去重检测"),
-    client_upload_id: str = Form(default="", description="客户端幂等 token（同一次上传的重试保持一致）"),
+    file_hash: str = Form(default="", description="文件 MD5 哈希，用于去重检测"),
    authenticated_user: AuthenticatedUser = Depends(get_current_user),
    ingest_job_repository: Any = Depends(get_ingest_job_repository),
    project_repository: Any = Depends(get_project_repository),
@@ -517,31 +239,32 @@ async def upload_asset(
    """上传素材文件并触发导入流水线。"""
    require_project_and_library(project_id, library_id, project_repository, asset_library_repository)

-    # P2-5: 服务端验证 MIME 类型（先验证，再幂等去重，避免非法类型绕过）
+    # ── 素材去重检测：上传前检查同素材库 + 同 file_hash ──
+    if file_hash:
+        existing = asset_repository.find_by_library_and_file_hash(
+            library_id=library_id,
+            file_hash=file_hash,
+        )
+        if existing is not None:
+            logger.info(
+                "素材去重命中(multipart): library=%s hash=%s existing_asset=%s",
+                library_id,
+                file_hash,
+                existing.id,
+            )
+            return UploadAssetResponse(
+                storage_key=existing.storage_key,
+                ingest_job_id="",
+                url="",
+                duplicated=True,
+                asset_id=existing.id,
+            )
+
+    # P2-5: 服务端验证 MIME 类型
    validated_content_type = _validate_mime_type(file.content_type)

-    safe_filename = file.filename.replace("/", "_").replace("\\", "_") if file.filename else "unknown"
-
-    # ── 幂等去重：client_upload_id → file_hash → 近期活动同名记录兜底 ──
-    # 放在 OSS 上传之前：重复提交直接返回，不占 OSS 流量、不建新记录。
-    existing = _find_duplicate_asset(
-        asset_repository,
-        library_id=library_id,
-        file_hash=file_hash,
-        client_upload_id=client_upload_id,
-        filename=safe_filename,
-        file_size=0,
-    )
-    if existing is not None:
-        return UploadAssetResponse(
-            storage_key=existing.storage_key,
-            ingest_job_id="",
-            url="",
-            duplicated=True,
-            asset_id=existing.id,
-        )
-
    file_id = uuid4().hex[:8]
+    safe_filename = file.filename.replace("/", "_").replace("\\", "_") if file.filename else "unknown"
    storage_key = f"uploads/{file_id}/{safe_filename}"

    try:
@@ -560,32 +283,16 @@ async def upload_asset(
            detail=f"Failed to upload file: {type(error).__name__}",
        ) from error

-    # 立即创建 Asset 记录（PROCESSING 状态），使前端刷新后即可看到新素材
-    pending_asset = _create_pending_asset(
-        asset_repository=asset_repository,
-        project_id=project_id,
-        library_id=library_id,
-        storage_key=storage_key,
-        filename=safe_filename,
-        mime_type=validated_content_type,
-        user_id=authenticated_user.user.id,
-        file_hash=file_hash,
-        client_upload_id=client_upload_id,
-    )
-    # Issue #1776: 计数由 asset_repository.create() 自动维护
-
    job = _submit_ingest_job(
        project_id=project_id,
        library_id=library_id,
        storage_key=storage_key,
        ingest_job_repository=ingest_job_repository,
        file_hash=file_hash,
-        asset_id=pending_asset.id,
    )

    return UploadAssetResponse(
        storage_key=storage_key,
        ingest_job_id=job.id,
-        asset_id=pending_asset.id,
        url=file_url,
    )
@@ -15,7 +15,6 @@ from app.schemas.video_center import (
    VideoItemResponse,
 )
 from fastapi import APIRouter, Depends, HTTPException, Query, Response
-from pydantic import BaseModel, Field

 from packages.application import (
    GetGeneratedVideoUseCase,
@@ -53,9 +52,6 @@ def _to_video_response(item, storage: OSSStorageService | None = None) -> VideoI
        generation_params=item.generation_params,
        download_url=download_url,
        generated_at=format_utc_datetime(item.generated_at) if hasattr(item, "generated_at") else "",
-        duplicate_rate=getattr(item, "duplicate_rate", None),
-        visual_similarity=getattr(item, "visual_similarity", None),
-        match_count=getattr(item, "match_count", None),
    )


@@ -240,74 +236,3 @@ def get_batch_download_status(
        status=api_status,
        download_url=download_url,
    )
-
-
-# ── 重新计算查重率 ─────────────────────────────────────────────────
-
-
-class RecomputeDedupRequest(BaseModel):
-    """重新计算查重率请求。"""
-
-    video_ids: list[str] | None = Field(
-        None,
-        description="指定视频 ID 列表。为空则对当前用户所有缺少查重数据的视频重新计算。",
-    )
-    force: bool = Field(
-        False,
-        description="强制重算：即使视频已有查重数据也重新入队（#1702 查重算法升级后用于存量视频重算）。",
-    )
-
-
-class RecomputeDedupResponse(BaseModel):
-    """重新计算查重率响应。"""
-
-    enqueued: int = Field(..., description="已入队的任务数量")
-    total_scanned: int = Field(..., description="扫描的视频总数")
-    skipped: int = Field(..., description="已有查重数据跳过的数量")
-    message: str = ""
-
-
-@router.post("/videos/recompute-dedup", response_model=RecomputeDedupResponse)
-def recompute_dedup(
-    request: RecomputeDedupRequest = RecomputeDedupRequest(),
-    repo=Depends(get_generated_video_repository),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-):
-    """重新计算视频的查重率/视觉相似度。
-
-    对于已存在但缺少 duplicate_rate / video_fingerprint 的视频，
-    触发异步 Celery 任务重新下载并计算指纹 + 查重率。
-
-    不传 video_ids 时，对当前用户所有视频进行检查。
-    """
-    user_id = current_user.user.id
-
-    # 获取目标视频列表
-    if request.video_ids:
-        all_videos = repo.get_by_ids(request.video_ids)
-        # 安全校验：只处理当前用户的视频
-        target_videos = [v for v in all_videos if v.user_id == user_id]
-    else:
-        target_videos = repo.list_by_user(user_id)
-
-    total_scanned = len(target_videos)
-    enqueued = 0
-    skipped = 0
-
-    for video in target_videos:
-        # 已有完整查重数据的跳过（force=True 时强制重算，#1702 算法升级后存量视频需要重算指纹/分片）
-        if not request.force and video.duplicate_rate is not None and video.video_fingerprint:
-            skipped += 1
-            continue
-
-        # 触发异步查重任务
-        celery_app.send_task("worker.check_duplicate", args=[video.id])
-        enqueued += 1
-        logger.info("Enqueued re-dedup for video %s (user=%s, force=%s)", video.id, user_id, request.force)
-
-    return RecomputeDedupResponse(
-        enqueued=enqueued,
-        total_scanned=total_scanned,
-        skipped=skipped,
-        message=f"已入队 {enqueued} 个查重任务" if enqueued > 0 else "所有视频查重数据已完整",
-    )
@@ -7,17 +7,10 @@ from typing import Optional

 from app.auth import AuthenticatedUser, get_current_user
 from app.core.celery_app import celery_app
-from app.core.storage import get_storage_service
-from app.dependencies import (
-    get_asset_repository,
-    get_cosyvoice_service,
-    get_project_repository,
-    get_voice_clone_profile_repository,
-)
+from app.dependencies import get_cosyvoice_service, get_voice_clone_profile_repository
 from app.schemas.voice_clone import (
    CreateVoiceCloneRequest,
    ListVoiceCloneResponse,
-    VoiceClonePreviewResponse,
    VoiceCloneProfileResponse,
    VoiceCloneStatusResponse,
 )
@@ -26,7 +19,7 @@ from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
 from packages.adapters.sqlalchemy_impl.voice_clone_profile_repository import (
    SQLAlchemyVoiceCloneProfileRepository,
 )
-from packages.application.cosyvoice_service import CosyVoiceError, CosyVoiceService
+from packages.application.cosyvoice_service import CosyVoiceService
 from packages.application.voice_clone.use_cases import (
    DeleteVoiceCloneUseCase,
    GetVoiceCloneStatusUseCase,
@@ -38,21 +31,11 @@ from packages.application.voice_clone.use_cases import (
 from packages.application.voice_clone.workflow import (
    VoiceCloneWorkflowService,
 )
-from packages.ports.asset_repository import AssetRepository
-from packages.ports.project_repository import ProjectRepository
-from packages.shared.storage import SharedStorageService

 logger = logging.getLogger(__name__)

 router = APIRouter()

-# 克隆音色试听缓存（减少重复TTS调用）
-# key: clone_id, value: (audio_url, duration, file_size, text, timestamp)
-_clone_preview_cache: dict[str, tuple[str, float, int, str, float]] = {}
-CLONE_PREVIEW_CACHE_TTL = 7 * 24 * 3600  # 7天TTL
-# 默认试听文本
-CLONE_PREVIEW_TEMPLATE = "你好，这是我的克隆音色，很高兴能为你配音。"
-

 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
@@ -92,68 +75,23 @@ def create_voice_clone(
    request: CreateVoiceCloneRequest,
    authenticated_user: AuthenticatedUser = Depends(get_current_user),
    workflow: VoiceCloneWorkflowService = Depends(_get_workflow_service),
-    asset_repository: AssetRepository = Depends(get_asset_repository),
-    project_repository: ProjectRepository = Depends(get_project_repository),
-    storage_service: SharedStorageService = Depends(get_storage_service),
 ) -> VoiceCloneProfileResponse:
    """创建音色克隆任务。

    创建 VoiceCloneProfile → 提交 CosyVoice 克隆任务 → 触发 Celery 异步轮询。
-    参考音频两种来源（二选一）：
-    - source_audio_url：前端直传后的音频 URL（兼容旧流程）
-    - asset_id：配音素材库中的音频素材，服务端用其 OSS storage_key 生成
-      预签名下载 URL（不依赖前端签名，避免签名过期导致克隆失败）
-    如果有参考音频，状态会变为 processing；否则保持 pending。
+    如果有 source_audio_url，状态会变为 processing；否则保持 pending。
    """
    user_id = authenticated_user.user.id
-
-    source_audio_url = request.source_audio_url
-    clone_metadata = dict(request.metadata_ or {})
-
-    if request.asset_id:
-        if source_audio_url:
-            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail="asset_id 与 source_audio_url 只能传一个",
-            )
-        asset = asset_repository.find_by_id(request.asset_id)
-        if asset is None:
-            raise HTTPException(
-                status_code=status.HTTP_404_NOT_FOUND,
-                detail="素材不存在",
-            )
-        # 归属校验：素材挂在项目素材库下，用户必须能访问该项目
-        project = project_repository.find_by_id(asset.project_id)
-        if project is None or not project.can_access(user_id):
-            raise HTTPException(
-                status_code=status.HTTP_403_FORBIDDEN,
-                detail="无权使用该素材",
-            )
-        # 类型校验：仅支持音频素材
-        if asset.file_type != "audio":
-            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail="仅支持音频素材进行音色克隆",
-            )
-        if not asset.storage_key:
-            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail="该素材缺少音频文件，无法用于克隆",
-            )
-        # 用 OSS storage_key 生成服务端预签名 URL（7 天有效，覆盖克隆重试周期）
-        source_audio_url = storage_service.get_download_url(asset.storage_key, expires_seconds=7 * 24 * 3600)
-        clone_metadata["source_asset_id"] = asset.id
-
    profile = workflow.start_clone(
        user_id=user_id,
        name=request.name,
        description=request.description,
-        source_audio_url=source_audio_url,
+        source_audio_url=request.source_audio_url,
        voice_model=request.voice_model,
        language=request.language,
        gender=request.gender,
        max_retries=request.max_retries,
-        metadata=clone_metadata,
+        metadata=request.metadata_,
    )

    # 如果 profile 处于 processing 且有 task_id，触发 Celery 异步轮询
@@ -285,78 +223,3 @@ def retry_voice_clone(
                logger.error(f"Failed to mark profile as failed after dispatch error: {inner_e}")

    return _to_response(profile)
-
-
-@router.get("/{clone_id}/preview", response_model=VoiceClonePreviewResponse)
-def get_voice_clone_preview(
-    clone_id: str,
-    text: str = Query("", description="自定义试听文本，为空则使用默认示例"),
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    repository: SQLAlchemyVoiceCloneProfileRepository = Depends(get_voice_clone_profile_repository),
-    cosyvoice: CosyVoiceService = Depends(get_cosyvoice_service),
-) -> VoiceClonePreviewResponse:
-    """获取克隆音色试听音频（实时 TTS 合成）。
-
-    - 克隆音色必须处于 ready 状态
-    - 使用默认试听文本时，结果缓存 7 天
-    - 可传入自定义 text 参数试听不同文本
-    """
-    import time
-
-    use_case = GetVoiceCloneUseCase(repository)
-    try:
-        profile = use_case.execute(clone_id, authenticated_user.user.id)
-    except VoiceCloneNotFoundError as _e:
-        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Voice clone not found") from _e
-
-    if not profile.is_ready:
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail=f"Voice clone is not ready (current status: {profile.status})",
-        )
-
-    # 有自定义文本时不缓存
-    use_cache = not text.strip()
-
-    if use_cache and clone_id in _clone_preview_cache:
-        audio_url, duration, file_size, cached_text, cached_at = _clone_preview_cache[clone_id]
-        if time.time() - cached_at < CLONE_PREVIEW_CACHE_TTL:
-            return VoiceClonePreviewResponse(
-                clone_id=clone_id,
-                voice_id=profile.voice_id,
-                audio_url=audio_url,
-                text=cached_text,
-                duration=duration,
-                file_size=file_size,
-            )
-
-    # 合成试听音频
-    preview_text = text.strip() or CLONE_PREVIEW_TEMPLATE
-    try:
-        result = cosyvoice.synthesize_speech(
-            text=preview_text,
-            voice_id=profile.voice_id,
-            format="mp3",
-            speed=1.0,
-        )
-    except CosyVoiceError as e:
-        raise HTTPException(status_code=502, detail=f"TTS 合成失败: {e}") from e
-
-    # 缓存（仅默认试听文本）
-    if use_cache:
-        _clone_preview_cache[clone_id] = (
-            result.audio_url,
-            result.duration,
-            result.file_size,
-            preview_text,
-            time.time(),
-        )
-
-    return VoiceClonePreviewResponse(
-        clone_id=clone_id,
-        voice_id=profile.voice_id,
-        audio_url=result.audio_url,
-        text=preview_text,
-        duration=result.duration,
-        file_size=result.file_size,
-    )
@@ -5,27 +5,11 @@

 from __future__ import annotations

-import logging
-import shutil
-import subprocess
-import tempfile
-import time
-from pathlib import Path
 from typing import Literal, Optional
-from uuid import uuid4

 from app.api.routes._helpers import get_user_plan
 from app.auth import AuthenticatedUser, get_current_user
-from app.core.storage import get_storage_service
-from app.dependencies import (
-    get_asset_library_repository,
-    get_asset_repository,
-    get_audio_url_signer,
-    get_cosyvoice_service,
-    get_db_session,
-    get_project_repository,
-    get_user_repository,
-)
+from app.dependencies import get_audio_url_signer, get_cosyvoice_service, get_db_session, get_user_repository
 from app.schemas.voice import (
    PresetVoiceItemResponse,
    PresetVoiceListResponse,
@@ -38,7 +22,7 @@ from app.schemas.voice_library import (
    UpdateVoiceLibraryRequest,
    VoiceLibraryItemResponse,
 )
-from fastapi import APIRouter, Depends, File, Form, HTTPException, Query, Response, UploadFile, status
+from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
 from sqlalchemy.orm import Session

 from packages.adapters.sqlalchemy_impl.voice_clone_profile_repository import SQLAlchemyVoiceCloneProfileRepository
@@ -54,15 +38,10 @@ from packages.application.voice_library.use_cases import (
    QuotaExceededError,
    UpdateVoiceLibraryUseCase,
 )
-from packages.domain import Asset, AssetStatus
-from packages.domain.classification import AssetLibraryKind, ClassificationStatus
-from packages.domain.entities import AssetLibrary
 from packages.domain.preset_voices import PRESET_VOICES, get_preset_voice_by_id
 from packages.ports.user_repository import UserRepository
-from packages.shared.storage import SharedStorageService

 router = APIRouter()
-logger = logging.getLogger(__name__)

 # 预置音色试听音频缓存（内存缓存，减少重复TTS调用）
 # key: voice_id, value: (audio_url, timestamp)
@@ -72,65 +51,6 @@ PREVIEW_CACHE_TTL = 7 * 24 * 3600  # 7天TTL
 PREVIEW_TEMPLATE = "你好，我是{name}，很高兴认识你。"


-def _resolve_preset_preview_url(
-    voice_id: str,
-    fallback_url: str,
-    cosyvoice: CosyVoiceService,
-) -> str:
-    """为预置音色获取有效的 preview_url.
-
-    优先从内存缓存读取；缓存失效时调用 CosyVoice 重新合成；
-    合成失败时降级返回硬编码 URL（可能已过期，但不会报错）。
-    """
-    # 检查缓存
-    if voice_id in _preset_preview_cache:
-        audio_url, cached_at = _preset_preview_cache[voice_id]
-        if time.time() - cached_at < PREVIEW_CACHE_TTL:
-            return audio_url
-
-    # 缓存失效，调用 CosyVoice 合成
-    preset = get_preset_voice_by_id(voice_id)
-    if preset is None:
-        return fallback_url
-
-    preview_text = PREVIEW_TEMPLATE.format(name=preset.name)
-    try:
-        result = cosyvoice.synthesize_speech(
-            text=preview_text,
-            voice_id=voice_id,
-            format="mp3",
-            speed=1.0,
-        )
-        audio_url = result.audio_url
-        _preset_preview_cache[voice_id] = (audio_url, time.time())
-        logger.info("Preset voice preview generated: %s", voice_id)
-        return audio_url
-    except Exception as e:
-        logger.warning("Failed to generate preview for %s, using fallback: %s", voice_id, e)
-        return fallback_url
-
-
-def _resolve_all_preset_preview_urls(
-    presets: list,
-    cosyvoice: CosyVoiceService,
-) -> dict[str, str]:
-    """顺序解析所有预置音色的 preview_url.
-
-    采用顺序调用（而非并行）以避免触发 DashScope API 速率限制。
-    首次调用后结果缓存 7 天，后续请求直接命中缓存。
-
-    Returns:
-        voice_id -> preview_url 映射
-    """
-    result_map: dict[str, str] = {}
-    for p in presets:
-        try:
-            result_map[p.voice_id] = _resolve_preset_preview_url(p.voice_id, p.preview_url, cosyvoice)
-        except Exception:
-            result_map[p.voice_id] = p.preview_url
-    return result_map
-
-
 def _get_voice_repository(session: Session = Depends(get_db_session)) -> SQLAlchemyVoiceLibraryRepository:
    return SQLAlchemyVoiceLibraryRepository(session)

@@ -198,16 +118,8 @@ def _to_unified_response(item, profile_id_map: dict | None = None, sign_url=None
    )


-def _preset_to_unified_response(preset, preview_url_map: dict[str, str] | None = None) -> UnifiedVoiceItemResponse:
-    """将预置音色转换为统一响应格式。
-
-    Args:
-        preset: 预置音色对象
-        preview_url_map: voice_id -> preview_url 动态映射，优先使用
-    """
-    preview_url = preset.preview_url
-    if preview_url_map and preset.voice_id in preview_url_map:
-        preview_url = preview_url_map[preset.voice_id]
+def _preset_to_unified_response(preset) -> UnifiedVoiceItemResponse:
+    """将预置音色转换为统一响应格式。"""
    return UnifiedVoiceItemResponse(
        id=preset.voice_id,
        type="preset",
@@ -217,40 +129,11 @@ def _preset_to_unified_response(preset, preview_url_map: dict[str, str] | None =
        language=preset.language,
        voice_id=preset.voice_id,
        voice_provider="cosyvoice",
-        preview_url=preview_url,
+        preview_url=preset.preview_url,
        tags=preset.tags or [],
    )


-def _clone_profile_to_unified_response(profile) -> UnifiedVoiceItemResponse:
-    """将克隆音色档案转换为统一响应格式。
-
-    注意：克隆音色是「音色模型」（可用于 TTS 合成任意文本），
-    不同于配音库条目（具体的配音作品）。
-    """
-    return UnifiedVoiceItemResponse(
-        id=profile.id,
-        type="clone",
-        name=profile.name,
-        description=profile.description or "",
-        gender=profile.gender or "unknown",
-        language=profile.language or "zh-CN",
-        voice_id=profile.voice_id or "",
-        voice_provider=profile.voice_model or "cosyvoice",
-        audio_url="",  # 克隆音色没有预合成音频，需通过 /voice-clones/{id}/preview 试听
-        preview_url="",  # 试听需实时合成，前端调用 preview 接口
-        duration=0,
-        file_size=0,
-        status=profile.status.value if hasattr(profile.status, "value") else str(profile.status),
-        tags=[],
-        user_id=profile.user_id,
-        project_id=None,
-        voice_clone_profile_id=profile.id,
-        created_at=profile.created_at,
-        updated_at=profile.updated_at,
-    )
-
-
 # ==================== 统一配音列表（预置 + 克隆）====================


@@ -267,7 +150,6 @@ def list_voices_unified(
    voice_repository: SQLAlchemyVoiceLibraryRepository = Depends(_get_voice_repository),
    clone_profile_repository: SQLAlchemyVoiceCloneProfileRepository = Depends(_get_clone_profile_repository),
    sign_url=Depends(get_audio_url_signer),
-    cosyvoice: CosyVoiceService = Depends(get_cosyvoice_service),
 ) -> UnifiedVoiceListResponse:
    """获取配音列表（预置音色 + 用户克隆音色）。

@@ -283,30 +165,19 @@ def list_voices_unified(
    has_preset = type is None or type == "preset"
    has_clone = type is None or type == "clone"

-    # 获取预置音色（动态生成 preview_url）
+    # 获取预置音色
    if has_preset:
-        preview_url_map = _resolve_all_preset_preview_urls(PRESET_VOICES, cosyvoice)
-        preset_items = [_preset_to_unified_response(p, preview_url_map) for p in PRESET_VOICES]
+        preset_items = [_preset_to_unified_response(p) for p in PRESET_VOICES]
        preset_count = len(preset_items)

-    # 获取克隆音色（从 voice_clone_profile 读取，ready 状态的克隆音色）
+    # 获取克隆音色
    if has_clone:
-        # status_filter 映射：不传则默认只返回 ready 状态（可用的克隆音色）
-        # 前端可以传 status=all 获取所有状态，或传具体状态过滤
-        filter_status = None
-        if status_filter and status_filter != "all":
-            filter_status = status_filter
-        elif not status_filter:
-            filter_status = "ready"
-
-        clone_profiles = clone_profile_repository.list_by_user(
-            user_id,
-            status=filter_status,
-            limit=limit,
-            offset=skip,
-        )
-        clone_count = clone_profile_repository.count_by_user(user_id, status=filter_status)
-        clone_items = [_clone_profile_to_unified_response(p) for p in clone_profiles]
+        use_case = ListVoiceLibraryUseCase(voice_repository)
+        clone_items_raw, clone_count = use_case.execute(user_id, status=status_filter, skip=skip, limit=limit)
+        # 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, sign_url) for i in clone_items_raw]

    # 组装结果
    if type == "preset":
@@ -333,15 +204,11 @@ def list_voices_unified(


@router.get("/presets", response_model=PresetVoiceListResponse)
-def list_preset_voices(
-    cosyvoice: CosyVoiceService = Depends(get_cosyvoice_service),
-) -> PresetVoiceListResponse:
+def list_preset_voices() -> PresetVoiceListResponse:
    """获取预置音色列表。

    不需要认证，返回所有系统预置的 CosyVoice 音色。
-    preview_url 通过 CosyVoice 动态生成，不依赖硬编码的过期 URL。
    """
-    preview_url_map = _resolve_all_preset_preview_urls(PRESET_VOICES, cosyvoice)
    items = [
        PresetVoiceItemResponse(
            voice_id=p.voice_id,
@@ -349,7 +216,7 @@ def list_preset_voices(
            description=p.description,
            gender=p.gender,
            language=p.language,
-            preview_url=preview_url_map.get(p.voice_id, p.preview_url),
+            preview_url=p.preview_url,
            tags=p.tags or [],
        )
        for p in PRESET_VOICES
@@ -369,6 +236,8 @@ def get_preset_voice_preview(
    - 相同 voice_id 重复调用直接返回缓存的音频URL
    - 可传入自定义 text 参数试听不同文本
    """
+    import time
+
    preset = get_preset_voice_by_id(voice_id)
    if preset is None:
        raise HTTPException(status_code=404, detail=f"预置音色不存在: {voice_id}")
@@ -525,243 +394,3 @@ def delete_voice(
    if not deleted:
        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Voice not found")
    return
-
-
-# ── 提取视频配音 ─────────────────────────────────────────────────────
-
-# 支持的视频格式
-EXTRACT_VIDEO_MIMES = frozenset({"video/mp4", "video/quicktime", "video/webm", "video/x-msvideo"})
-MAX_EXTRACT_SIZE = 500 * 1024 * 1024  # 500MB
-
-
-@router.post(
-    "/extract-voice",
-    status_code=status.HTTP_201_CREATED,
-)
-def extract_voice_from_video(
-    file: UploadFile = File(...),
-    project_id: str = Form(...),
-    authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    project_repository=Depends(get_project_repository),
-    asset_library_repository=Depends(get_asset_library_repository),
-    asset_repository=Depends(get_asset_repository),
-    storage_service: SharedStorageService = Depends(get_storage_service),
-    sign_url=Depends(get_audio_url_signer),
-):
-    """从上传的视频中提取人声配音。
-
-    流程：
-    1. 接收视频文件（mp4/mov/webm）
-    2. ffmpeg 提取音频 + 降噪 + 编码为 mp3
-    3. 上传到 OSS，创建 Asset 记录到配音素材库
-    4. 返回素材信息（时长、文件大小、URL）
-    """
-    user_id = authenticated_user.user.id
-
-    # 校验文件类型
-    content_type = file.content_type or ""
-    if content_type and content_type not in EXTRACT_VIDEO_MIMES:
-        # 兜底：按扩展名判断
-        ext = (file.filename or "").rsplit(".", 1)[-1].lower()
-        ext_to_mime = {"mp4": "video/mp4", "mov": "video/quicktime", "webm": "video/webm", "avi": "video/x-msvideo"}
-        if ext not in ext_to_mime:
-            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail="仅支持 mp4/mov/webm/avi 格式的视频文件",
-            )
-        content_type = ext_to_mime[ext]
-
-    # 找到（或自动创建）用户 voice 素材库（复用 TTS 的逻辑）
-    library = _find_or_create_voice_library_for_extract(
-        user_id=user_id,
-        project_repository=project_repository,
-        asset_library_repository=asset_library_repository,
-    )
-
-    tmp_dir = None
-    try:
-        tmp_dir = Path(tempfile.mkdtemp(prefix="voice_extract_"))
-        video_path = tmp_dir / f"input_{uuid4().hex[:8]}_{file.filename or 'video.mp4'}"
-        audio_path = tmp_dir / f"output_{uuid4().hex[:8]}.mp3"
-
-        # 保存上传的视频到临时文件
-        with open(video_path, "wb") as f:
-            total = 0
-            while chunk := file.file.read(1024 * 1024):  # 1MB chunks
-                total += len(chunk)
-                if total > MAX_EXTRACT_SIZE:
-                    raise HTTPException(
-                        status_code=status.HTTP_413_REQUEST_ENTITY_TOO_LARGE,
-                        detail="视频文件过大，最大支持 500MB",
-                    )
-                f.write(chunk)
-
-        if video_path.stat().st_size == 0:
-            raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="视频文件为空")
-
-        # ffmpeg: 提取音频 + 降噪 + 编码 mp3
-        # 滤镜链：highpass(去低频噪声) → afftdn(FFT降噪) → lowpass(去高频噪声)
-        ffmpeg_cmd = [
-            "ffmpeg",
-            "-y",
-            "-i",
-            str(video_path),
-            "-vn",  # 不要视频
-            "-af",
-            "highpass=f=80,afftdn=nf=-25:tn=1,lowpass=f=8000",
-            "-acodec",
-            "libmp3lame",
-            "-ab",
-            "192k",
-            "-ar",
-            "44100",
-            "-ac",
-            "1",  # 单声道（人声足够）
-            str(audio_path),
-        ]
-
-        result = subprocess.run(
-            ffmpeg_cmd,
-            capture_output=True,
-            timeout=300,  # 5 分钟超时
-        )
-
-        if result.returncode != 0:
-            stderr_text = result.stderr.decode("utf-8", errors="replace")[-500:]
-            logger.error("ffmpeg 提取配音失败: %s", stderr_text)
-            raise HTTPException(
-                status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
-                detail="视频音频提取失败，可能该视频没有音轨或格式不支持",
-            )
-
-        if not audio_path.exists() or audio_path.stat().st_size == 0:
-            raise HTTPException(
-                status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
-                detail="音频提取结果为空",
-            )
-
-        # 获取音频时长
-        duration = _get_audio_duration(audio_path)
-        file_size = audio_path.stat().st_size
-
-        # 上传到 OSS
-        audio_ext = "mp3"
-        storage_key = f"uploads/voice/extracted/{uuid4().hex}.{audio_ext}"
-        storage_service.upload_file(audio_path, storage_key, content_type="audio/mpeg")
-
-        # 创建 Asset 记录
-        original_name = (file.filename or "video").rsplit(".", 1)[0]
-        asset_name = f"{original_name}-配音"
-
-        asset = Asset.create(
-            project_id=library.project_id,
-            library_id=library.id,
-            name=asset_name,
-            storage_key=storage_key,
-            mime_type="audio/mpeg",
-            metadata={
-                "source": "video_extract",
-                "original_video": file.filename or "unknown",
-            },
-            file_size=file_size,
-            duration=duration,
-            status=AssetStatus.READY,
-            classification_status=ClassificationStatus.PENDING,
-            uploaded_by_user_id=user_id,
-        )
-        asset = asset_repository.create(asset)
-
-        return {
-            "id": asset.id,
-            "name": asset.name,
-            "audio_url": sign_url(storage_key),
-            "duration": duration,
-            "file_size": file_size,
-            "status": "completed",
-            "source": "video_extract",
-        }
-
-    except HTTPException:
-        raise
-    except subprocess.TimeoutExpired:
-        raise HTTPException(
-            status_code=status.HTTP_504_GATEWAY_TIMEOUT,
-            detail="视频处理超时，请尝试较短的视频",
-        ) from None
-    except Exception as e:
-        logger.exception("提取视频配音失败: %s", e)
-        raise HTTPException(
-            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-            detail="提取配音失败，请稍后重试",
-        ) from e
-    finally:
-        # 清理临时文件
-        if tmp_dir and Path(tmp_dir).exists():
-            shutil.rmtree(tmp_dir, ignore_errors=True)
-
-
-def _find_or_create_voice_library_for_extract(*, user_id, project_repository, asset_library_repository):
-    """为用户找到或创建 voice 素材库（与 TTS 保存逻辑一致）。"""
-    projects = project_repository.find_accessible_projects(user_id)
-    if not projects:
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail="没有可用的项目，请先创建项目",
-        )
-
-    for project in projects:
-        for lib in asset_library_repository.find_by_project(project.id):
-            kind = lib.kind.value if hasattr(lib.kind, "value") else lib.kind
-            if kind == AssetLibraryKind.VOICE.value:
-                return lib
-
-    # 自动创建
-    from sqlalchemy.exc import IntegrityError
-
-    project = projects[0]
-    library = AssetLibrary.create(
-        project_id=project.id,
-        name="配音素材库",
-        kind=AssetLibraryKind.VOICE,
-    )
-    try:
-        return asset_library_repository.create(library)
-    except IntegrityError:
-        session = getattr(asset_library_repository, "session", None)
-        if session is not None:
-            try:
-                session.rollback()
-            except Exception:
-                pass
-        for lib in asset_library_repository.find_by_project(project.id):
-            kind = lib.kind.value if hasattr(lib.kind, "value") else lib.kind
-            if kind == AssetLibraryKind.VOICE.value:
-                return lib
-        raise HTTPException(
-            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-            detail="配音素材库创建失败",
-        ) from None
-
-
-def _get_audio_duration(audio_path: Path) -> float:
-    """用 ffprobe 获取音频时长（秒）。"""
-    try:
-        result = subprocess.run(
-            [
-                "ffprobe",
-                "-v",
-                "quiet",
-                "-show_entries",
-                "format=duration",
-                "-of",
-                "csv=p=0",
-                str(audio_path),
-            ],
-            capture_output=True,
-            timeout=10,
-        )
-        if result.returncode == 0 and result.stdout.strip():
-            return float(result.stdout.strip())
-    except (ValueError, subprocess.TimeoutExpired):
-        pass
-    return 0.0
@@ -5,11 +5,3 @@ settings = get_settings()
 celery_app = Celery("xiaoxia-saas-api")
 celery_app.conf.broker_url = settings.CELERY_BROKER_URL
 celery_app.conf.result_backend = settings.CELERY_RESULT_BACKEND
-
-# #1714 队列隔离：视频生成走 generation 队列，素材转码走 transcode 队列
-try:
-    from packages.shared.celery_queues import apply_queue_settings
-
-    apply_queue_settings(celery_app)
-except Exception:  # noqa: BLE001 — 队列配置失败不阻断 API 启动
-    pass
@@ -8,145 +8,27 @@ 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
-WORKER_CONCURRENCY = 4  # worker 渲染并发数（infra/docker/compose.yml WORKER_CONCURRENCY 默认值）
-
-# 限流错误码：前端据此区分"排队等待"与"创建失败"
-ERROR_CODE_USER_QUEUE_FULL = "USER_QUEUE_FULL"  # 429：用户自己的任务排队中
-ERROR_CODE_SYSTEM_QUEUE_FULL = "SYSTEM_QUEUE_FULL"  # 503：系统整体繁忙


 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,
-        *,
-        running_count: int = 0,
-        requested_count: int = 1,
-        queue_ahead: int = 0,
-        estimated_wait_seconds: int = 0,
-    ):
+    def __init__(self, user_id: str, pending_count: int, limit: int):
        self.user_id = user_id
        self.pending_count = pending_count
        self.limit = limit
-        # 排队上下文（用于 429 结构化提示，前端展示"排队中"而非"创建失败"）
-        self.running_count = running_count
-        self.requested_count = requested_count
-        self.queue_ahead = queue_ahead
-        self.estimated_wait_seconds = estimated_wait_seconds
        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,
-        *,
-        running_count: int = 0,
-        queue_ahead: int = 0,
-        estimated_wait_seconds: int = 0,
-    ):
+    def __init__(self, pending_count: int, limit: int):
        self.pending_count = pending_count
        self.limit = limit
-        self.running_count = running_count
-        self.queue_ahead = queue_ahead
-        self.estimated_wait_seconds = estimated_wait_seconds
        super().__init__(f"系统 pending 任务数 {pending_count} 超过上限 {limit}")


-def _estimate_wait_seconds(queue_ahead: int, generation_task_repository: Any) -> int:
-    """根据排队任务数 + worker 并发数 + 历史平均任务耗时估算等待秒数。
-
-    估算公式：ceil(排队任务数 / 并发数) × 平均单任务耗时。
-    拿不到历史数据时仓储层返回默认 120 秒。
-    """
-    import math
-
-    if queue_ahead <= 0:
-        return 0
-    try:
-        estimator = getattr(generation_task_repository, "estimate_avg_duration_seconds", None)
-        avg_seconds = estimator() if estimator is not None else 120.0
-    except Exception:
-        avg_seconds = 120.0
-    return int(math.ceil(queue_ahead / WORKER_CONCURRENCY) * avg_seconds)
-
-
-def build_rate_limit_detail(
-    exc: Exception,
-    generation_task_repository: Any,
-    *,
-    scope: str = "user",
-) -> dict:
-    """构造结构化限流响应体（HTTPException 的 detail）。
-
-    前端按 detail.code 判断场景：
-    - USER_QUEUE_FULL (429)：用户自己的任务在排队，应提示"等待/继续排队"，不是创建失败
-    - SYSTEM_QUEUE_FULL (503)：系统繁忙，稍后重试
-
-    detail 字段：
-    - code: 错误码
-    - message: 可读中文提示（可直接展示）
-    - queued_count: 当前排队(pending)任务数
-    - running_count: 当前渲染中(running)任务数
-    - queue_ahead: 前方排队任务数（预计等待批次依据）
-    - estimated_wait_seconds: 预计等待秒数
-    - limit: 对应限流上限
-    """
-    if scope == "user" and isinstance(exc, UserPendingLimitExceeded):
-        running = exc.running_count
-        if not running:
-            try:
-                counter = getattr(generation_task_repository, "count_running_by_user", None)
-                running = counter(exc.user_id) if counter is not None else 0
-            except Exception:
-                running = 0
-        queue_ahead = exc.queue_ahead or max(exc.pending_count, 0)
-        wait = exc.estimated_wait_seconds or _estimate_wait_seconds(queue_ahead, generation_task_repository)
-        wait_minutes = max(1, round(wait / 60))
-        message = (
-            f"您有 {exc.pending_count} 个任务正在排队、{running} 个正在渲染，"
-            f"同一时间最多提交 {exc.limit} 个任务。请等待约 {wait_minutes} 分钟后再提交"
-        )
-        return {
-            "code": ERROR_CODE_USER_QUEUE_FULL,
-            "message": message,
-            "queued_count": exc.pending_count,
-            "running_count": running,
-            "queue_ahead": queue_ahead,
-            "estimated_wait_seconds": wait,
-            "limit": exc.limit,
-        }
-
-    # 全局繁忙
-    pending = getattr(exc, "pending_count", 0)
-    running = getattr(exc, "running_count", 0)
-    if not running:
-        try:
-            counter = getattr(generation_task_repository, "count_running_total", None)
-            running = counter() if counter is not None else 0
-        except Exception:
-            running = 0
-    queue_ahead = getattr(exc, "queue_ahead", 0) or pending
-    wait = getattr(exc, "estimated_wait_seconds", 0) or _estimate_wait_seconds(queue_ahead, generation_task_repository)
-    wait_minutes = max(1, round(wait / 60))
-    return {
-        "code": ERROR_CODE_SYSTEM_QUEUE_FULL,
-        "message": f"系统繁忙：当前 {pending} 个任务排队中、{running} 个渲染中，预计等待约 {wait_minutes} 分钟，请稍后再试",
-        "queued_count": pending,
-        "running_count": running,
-        "queue_ahead": queue_ahead,
-        "estimated_wait_seconds": wait,
-        "limit": getattr(exc, "limit", GLOBAL_PENDING_LIMIT),
-    }
-
-
 def check_queue_limits(
    user_id: str,
    generation_task_repository: Any,
@@ -279,17 +161,7 @@ def safe_enqueue_generation_task(

    # ── 发送 Celery 任务 ──
    try:
-        celery_result = celery_app.send_task("worker.generate_video", args=[task.id])
-        # 记录 celery 消息 ID：孤儿清理/超时作废时据此 revoke + 清除队列消息（#1714）
-        celery_task_id = getattr(celery_result, "id", "")
-        if celery_task_id:
-            try:
-                task.celery_task_id = celery_task_id
-                generation_task_repository.update(task)
-            except Exception as persist_err:  # noqa: BLE001
-                logger.warning(
-                    "%s 持久化 celery_task_id 失败（不影响主流程）: task_id=%s err=%s", log_prefix, task.id, persist_err
-                )
+        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",
@@ -22,9 +22,6 @@ from packages.adapters.sqlalchemy_impl.asset_repository import SQLAlchemyAssetRe
 from packages.adapters.sqlalchemy_impl.classification_job_repository import (
    SQLAlchemyClassificationJobRepository,
 )
-from packages.adapters.sqlalchemy_impl.cover_template_repository import (
-    SQLAlchemyCoverTemplateRepository,
-)
 from packages.adapters.sqlalchemy_impl.duplication_repository import (
    SQLAlchemyDuplicationRecordRepository,
 )
@@ -131,13 +128,6 @@ def get_project_repository(
    return SQLAlchemyProjectRepository(session)


-def get_cover_template_repository(
-    session: Session = Depends(get_db_session),
-) -> SQLAlchemyCoverTemplateRepository:
-    """Provide the SQLAlchemy cover template repository implementation."""
-    return SQLAlchemyCoverTemplateRepository(session)
-
-
 def get_tag_repository(
    session: Session = Depends(get_db_session),
 ) -> TagRepository:
@@ -1,111 +0,0 @@
-"""AI数字人渲染合成管线 API Schema — #1798."""
-
-from __future__ import annotations
-
-from datetime import datetime
-from typing import Any, Optional
-
-from pydantic import BaseModel, Field, field_validator
-
-
-class BRollSegment(BaseModel):
-    """B-roll 片段配置."""
-
-    script_segment_index: int = Field(..., ge=0, description="对应文案片段索引")
-    asset_url: str = Field(..., description="B-roll 素材 URL")
-    mode: str = Field(..., description="插入模式: fullscreen 或 pip")
-    start_time: float = Field(..., ge=0.0, description="在对口型视频中的起始时间(秒)")
-    end_time: float = Field(..., ge=0.0, description="在对口型视频中的结束时间(秒)")
-    pip_position: Optional[str] = Field("bottom_right", description="pip 模式位置")
-    pip_scale: Optional[float] = Field(0.3, ge=0.05, le=1.0, description="pip 模式缩放比例")
-
-    @field_validator("mode")
-    @classmethod
-    def validate_mode(cls, v: str) -> str:
-        v = v.strip().lower()
-        if v not in ("fullscreen", "pip"):
-            raise ValueError("mode 必须为 fullscreen 或 pip")
-        return v
-
-    @field_validator("asset_url")
-    @classmethod
-    def validate_asset_url(cls, v: str) -> str:
-        v = v.strip()
-        if not v:
-            raise ValueError("asset_url 不能为空")
-        if not v.startswith(("http://", "https://")):
-            raise ValueError("asset_url 必须是 HTTP/HTTPS URL")
-        return v
-
-    @field_validator("end_time")
-    @classmethod
-    def validate_end_time(cls, v: float, info: Any) -> float:
-        start = info.data.get("start_time", 0.0)
-        if v <= start:
-            raise ValueError("end_time 必须大于 start_time")
-        return v
-
-
-class CreateAiAvatarRenderRequest(BaseModel):
-    """创建渲染任务请求."""
-
-    lipsync_job_id: str = Field(..., description="对口型任务 ID")
-    script_id: str = Field(..., description="文案 ID")
-    b_roll_segments: list[BRollSegment] = Field(default_factory=list, description="B-roll 片段列表")
-    title_config: dict[str, Any] = Field(default_factory=dict, description="标题配置")
-    cover_config: dict[str, Any] = Field(default_factory=dict, description="封面配置")
-    project_id: str = Field("", description="项目 ID")
-
-    @field_validator("lipsync_job_id")
-    @classmethod
-    def validate_lipsync_job_id(cls, v: str) -> str:
-        v = v.strip()
-        if not v:
-            raise ValueError("lipsync_job_id 不能为空")
-        return v
-
-    @field_validator("script_id")
-    @classmethod
-    def validate_script_id(cls, v: str) -> str:
-        v = v.strip()
-        if not v:
-            raise ValueError("script_id 不能为空")
-        return v
-
-
-class AiAvatarRenderJobResponse(BaseModel):
-    """渲染任务响应."""
-
-    id: str
-    user_id: str
-    project_id: str
-    lipsync_job_id: str
-    script_id: str
-    b_roll_segments: list[dict[str, Any]]
-    title_config: dict[str, Any]
-    cover_config: dict[str, Any]
-    status: str
-    progress: int
-    output_video_url: str
-    output_cover_url: str
-    output_duration: float
-    error_message: str
-    submitted_at: Optional[datetime] = None
-    started_at: Optional[datetime] = None
-    completed_at: Optional[datetime] = None
-    created_at: datetime
-    updated_at: datetime
-
-    class Config:
-        from_attributes = True
-
-
-class AiAvatarRenderProgressResponse(BaseModel):
-    """渲染进度响应."""
-
-    status: str
-    progress: int
-    output_video_url: str
-    output_cover_url: str
-    output_duration: float
-    error_message: str
@@ -2,7 +2,7 @@ from pydantic import BaseModel, Field


 class CreateAssetRequest(BaseModel):
-    project_id: str | None = Field(default=None, description="可选，不传时从 library.project_id 自动推导")
+    project_id: str = Field(..., min_length=1)
    library_id: str = Field(..., min_length=1)
    name: str = Field(..., min_length=1, max_length=100)
    storage_key: str = Field(..., min_length=1, max_length=255)
@@ -53,25 +53,11 @@ class AssetResponse(BaseModel):
    created_at: str
    uploaded_by_user_id: str
    tag_ids: list[str] = Field(default_factory=list)
-    # 片段级余量信息（仅视频素材返回，非视频/无时长记录为 None，前端按可用处理）
-    used_duration: float | None = Field(default=None, description="已使用片段时长（秒，历史区间合并去重后）")
-    available_duration: float | None = Field(default=None, description="剩余可用时长（秒）= 素材总时长 - 已用时长")
-    used_ratio: float | None = Field(default=None, description="已用时长占比（0~1）")
-    usable: bool = Field(
-        default=True,
-        description="是否仍可用于新片段：零重复可切区间耗尽且所有历史区间复用次数" "（use_count）均达上限时为 false",
-    )


 MAX_BATCH_SIZE = 200


-class BatchGetRequest(BaseModel):
-    """批量获取素材详情请求。"""
-
-    ids: list[str] = Field(..., min_length=1, max_length=MAX_BATCH_SIZE, description="素材 ID 列表")
-
-
 class BatchDeleteRequest(BaseModel):
    """批量删除请求（软删除）。"""

@@ -115,33 +101,3 @@ class ListAssetsResponse(BaseModel):
    total: int = Field(default=0, ge=0)
    skip: int = Field(default=0, ge=0)
    limit: int = Field(default=100, ge=1)
-
-
-class SmartMatchRequest(BaseModel):
-    """智能选素材请求。"""
-
-    library_id: str = Field(..., min_length=1, description="素材库 ID")
-    limit: int | None = Field(default=None, ge=1, le=200, description="最大返回数量，不传则返回全部匹配素材")
-    kind: str | None = Field(
-        default=None,
-        pattern="^(video|image|audio)$",
-        description="按文件类型过滤，不传则返回所有类型",
-    )
-
-
-class SmartMatchItem(AssetResponse):
-    """智能选素材结果条目（扁平结构）。
-
-    素材字段（id/usable/余量等）直接挂在条目顶层，前端拿到 item 即可读 item.id，
-    与 AssetResponse 字段完全一致；score/breakdown 为智能匹配附加的评分字段。
-    """
-
-    score: float = Field(..., ge=0, le=100, description="综合得分 0-100")
-    breakdown: dict[str, float] = Field(default_factory=dict, description="各维度得分明细")
-
-
-class SmartMatchResponse(BaseModel):
-    """智能选素材响应。"""
-
-    items: list[SmartMatchItem]
-    total_candidates: int = Field(default=0, ge=0, description="参与评分的候选素材总数")
@@ -1,54 +0,0 @@
-"""封面模板 Schema。"""
-
-from datetime import datetime
-from typing import Any
-
-from pydantic import BaseModel, Field
-
-
-class CoverTemplateConfig(BaseModel):
-    """封面模板配置。"""
-
-    background_enabled: bool = Field(default=True, description="是否启用背景")
-    background_color: str = Field(default="#000000", description="背景颜色")
-    portrait_enabled: bool = Field(default=True, description="是否显示人像")
-    title_text: str = Field(default="", description="主标题文字")
-    subtitle_text: str = Field(default="", description="副标题文字")
-    mask_enabled: bool = Field(default=False, description="是否启用蒙版")
-
-
-class CreateCoverTemplateRequest(BaseModel):
-    """创建封面模板请求。"""
-
-    name: str = Field(..., min_length=1, max_length=200, description="模板名称")
-    thumbnail_url: str = Field(default="", description="缩略图 URL")
-    config: CoverTemplateConfig | None = Field(default=None, description="模板配置")
-
-
-class UpdateCoverTemplateRequest(BaseModel):
-    """更新封面模板请求。"""
-
-    name: str | None = Field(default=None, min_length=1, max_length=200, description="模板名称")
-    thumbnail_url: str | None = Field(default=None, description="缩略图 URL")
-    config: CoverTemplateConfig | None = Field(default=None, description="模板配置")
-
-
-class CoverTemplateResponse(BaseModel):
-    """封面模板响应。"""
-
-    id: str
-    name: str
-    thumbnail_url: str
-    is_system: bool
-    created_at: datetime
-    config: dict[str, Any] = Field(default_factory=dict)
-
-    class Config:
-        from_attributes = True
-
-
-class ListCoverTemplatesResponse(BaseModel):
-    """封面模板列表响应。"""
-
-    items: list[CoverTemplateResponse]
-    total: int = Field(default=0, ge=0)
@@ -28,9 +28,6 @@ class DuplicationRecordResponse(BaseModel):
    status: str = "pending"
    duplicate_rate: float | None = None
    duplicate_count: int = 0
-    # #1661 视觉相似度（归一化 0~1）/ 匹配视频数
-    visual_similarity: float | None = None
-    match_count: int | None = None
    created_at: str
    updated_at: str

@@ -25,10 +25,6 @@ class GeneratedVideoResponse(BaseModel):
    review_status: str = "pending_review"
    generation_params: dict = Field(default_factory=dict)
    download_url: str | None = None
-    # #1660 查重率（百分比 0~100）/ 视觉相似度（0~1）/ 匹配帧数
-    duplicate_rate: float | None = None
-    visual_similarity: float | None = None
-    match_count: int | None = None


 class GeneratedVideoDownloadUrlResponse(BaseModel):
@@ -1,18 +1,8 @@
 import json
-from datetime import datetime

 from pydantic import BaseModel, Field, field_validator, model_validator


-class ConfirmGenerationRequest(BaseModel):
-    """确认生成请求体 — 基于预览任务创建正式生成任务"""
-
-    output_width: int = Field(default=1080, ge=100, description="输出视频宽度")
-    output_height: int = Field(default=1920, ge=100, description="输出视频高度")
-    cover_url: str = Field(default="", description="自定义封面图片 URL")
-    custom_title: str = Field(default="", description="用户自定义标题文本，非空时同步到任务和编辑计划")
-
-
 class CreateGenerationTaskRequest(BaseModel):
    """创建生成任务请求。

@@ -25,29 +15,14 @@ class CreateGenerationTaskRequest(BaseModel):
    asset_library_id: str = ""
    strategy_id: str = ""
    voice_library_id: str = ""
-    # ── 多变体独立配音（批量生成）──
-    # 长度 1 = 所有变体共用；长度 = count = 每个变体独立配音；空数组 = 回退 voice_library_id
-    voice_library_ids: list[str] = Field(
-        default_factory=list,
-        description="各变体独立配音素材库ID数组：长度1=共用，长度=count=独立。为空时回退 voice_library_id",
-    )
    created_by_user_id: str = ""
    # ── 模板模式新增字段 ──
    template_id: str = ""
    asset_ids: list[str] = Field(default_factory=list)
    title_ids: list[str] = Field(default_factory=list)
+    voice_ids: list[str] = Field(default_factory=list)
    # ── 来源剪辑计划 ──
    source_edit_plan_id: str = ""
-    # ── variant-plans 轻量选片回传（#1749）：正式生成直接复用，不再重选 ──
-    variant_plan_ids: list[str] = Field(
-        default_factory=list,
-        description="POST /generation/variant-plans 返回的各变体 plan_id（长度须=count）；为空则走服务端选片",
-    )
-    # ── 标题配置（结构化）──
-    title_config: dict | None = Field(
-        default=None,
-        description="标题样式对象，包含 text/font/font_size/font_color/position/bold/stroke/shadow 等。为空时不影响现有行为。",
-    )
    # ── 视频标题 ──
    video_title: str = Field(default="", description="生成视频的标题/名称，为空则使用默认命名")
    # ── 批量生成 ──
@@ -55,9 +30,11 @@ class CreateGenerationTaskRequest(BaseModel):
    # ── 素材库自动匹配 ──
    asset_select_mode: str = Field(
        default="all",
-        description="素材选取模式：all=全部ready视频, smart=智能匹配（按质量/时长评分）",
+        description="素材选取模式：all=全部ready视频, random=随机选取, smart=智能匹配（按质量/时长评分）",
+    )
+    asset_select_count: int = Field(
+        default=0, ge=0, le=100, description="选取数量，0表示全部（仅 random/smart 模式有效）"
    )
-    asset_select_count: int = Field(default=0, ge=0, le=100, description="选取数量，0表示全部（仅 smart 模式有效）")
    # ── 自动重试 ──
    auto_retry_enabled: bool = Field(
        default=False,
@@ -79,53 +56,6 @@ class CreateGenerationTaskRequest(BaseModel):
        default_factory=dict,
        description="自定义BGM配置，覆盖模板BGM设置。支持 enabled/source/asset_id/preset_id/audio_url/volume 等字段",
    )
-    # ── 预览 / 确认生成 ──
-    is_preview: bool = Field(default=False, description="是否为预览任务")
-    source_task_id: str = Field(default="", description="来源预览任务 ID（确认生成时传入）")
-    output_width: int = Field(default=1280, description="输出视频宽度")
-    output_height: int = Field(default=720, description="输出视频高度")
-    cover_url: str = Field(default="", description="封面图片 URL")
-    # ── 多变体独立封面（批量生成）──
-    # 长度 1 = 所有变体共用；长度 = count = 每个变体独立封面；空数组 = 回退 cover_url
-    cover_urls: list[str] = Field(
-        default_factory=list,
-        description="各变体独立封面URL数组：长度1=共用，长度=count=独立。为空时回退 cover_url",
-    )
-    # ── 多变体独立标题文字（批量生成）──
-    # 长度 1 = 所有变体共用；长度 = count = 每个变体独立标题文字；空数组 = 使用 title_config.text
-    titles: list[str] = Field(
-        default_factory=list,
-        description="各变体独立标题文字数组：长度1=共用，长度=count=独立。为空时使用 title_config.text",
-    )
-
-    @model_validator(mode="after")
-    def _check_variant_arrays(self) -> "CreateGenerationTaskRequest":
-        """变体数组字段长度校验 + #1749 配音严格守卫。
-
-        - cover_urls/titles：空（回退单值）、长度 1（共用）或长度 = count（独立）；
-        - voice_library_ids：独立配音长度必须恰好 = count 且逐项非空，禁止静默 fallback
-          （长度 1 的"共用"场景请用 voice_library_id 单值字段）；
-        - variant_plan_ids：非空时长度必须 = count。
-        """
-        for name in ("cover_urls", "titles"):
-            arr = getattr(self, name)
-            if arr and len(arr) != 1 and len(arr) != self.count:
-                raise ValueError(f"{name} 长度必须为 1（共用）或 {self.count}（与 count 一致），当前为 {len(arr)}")
-
-        from packages.domain.variant_voice_resolver import VariantVoiceError, resolve_variant_voice_ids
-
-        try:
-            resolve_variant_voice_ids(
-                count=self.count,
-                voice_library_id=self.voice_library_id,
-                voice_library_ids=self.voice_library_ids or None,
-            )
-        except VariantVoiceError as exc:
-            raise ValueError(str(exc)) from exc
-
-        if self.variant_plan_ids and len(self.variant_plan_ids) != self.count:
-            raise ValueError(f"variant_plan_ids 长度({len(self.variant_plan_ids)})必须与 count({self.count})一致")
-        return self

    @model_validator(mode="after")
    def _check_at_least_one_mode(self) -> "CreateGenerationTaskRequest":
@@ -134,9 +64,9 @@ class CreateGenerationTaskRequest(BaseModel):
        if not has_project and not has_template:
            raise ValueError("project_id 或 template_id 至少需要提供一个")
        has_library = bool(self.asset_library_id.strip())
-        has_assets = bool(self.asset_ids or self.title_ids)
+        has_assets = bool(self.asset_ids or self.title_ids or self.voice_ids)
        if not has_library and not has_assets:
-            raise ValueError("asset_library_id 或 asset_ids/title_ids 至少需要提供一个")
+            raise ValueError("asset_library_id 或 asset_ids/title_ids/voice_ids 至少需要提供一个")
        return self


@@ -156,12 +86,6 @@ class GenerationTaskResponse(BaseModel):
    video_title: str = ""
    resolution: str = ""
    bgm_config: dict = Field(default_factory=dict)
-    is_preview: bool = False
-    source_task_id: str = ""
-    output_width: int = 1280
-    output_height: int = 720
-    cover_url: str = ""
-    title_config: dict = Field(default_factory=dict)
    status: str
    progress: float
    result_count: int
@@ -198,129 +122,3 @@ class ListGenerationTasksResponse(BaseModel):
    """用户级生成任务列表响应（跨 project）。"""

    items: list[GenerationTaskResponse]
-
-
-# ── 预览生成（Phase 1） ───────────────────────────────────────────────────────
-
-
-class CreatePreviewGenerationTaskRequest(BaseModel):
-    """创建预览生成任务请求。
-
-    仅支持模板模式：template_id + asset_ids 等素材 ID 列表。
-    预览渲染品质与正式生成一致（1080p, CRF 23, medium preset）。
-    """
-
-    template_id: str
-    asset_ids: list[str] = Field(default_factory=list)
-    title_ids: list[str] = Field(default_factory=list)
-    voice_library_id: str = Field(
-        default="", description="配音素材库ID（用户上传的音频或AI配音），对应配音选择页面选择的配音素材"
-    )
-    video_title: str = Field(default="", description="生成视频的标题/名称，为空则使用默认命名")
-    duration: float = Field(default=0.0, ge=0, description="期望视频时长（秒），0 表示由模板决定")
-    video_ratio: str = Field(default="", description="视频比例，如 16:9 / 9:16，为空使用模板默认")
-    bgm_config: dict = Field(
-        default_factory=dict,
-        description="自定义BGM配置，覆盖模板BGM设置。支持 enabled/source/asset_id/preset_id/audio_url/volume 等字段",
-    )
-    preview_count: int = Field(
-        default=1,
-        ge=1,
-        le=10,
-        description="预览视频生成数量，范围 1-10，默认 1",
-    )
-    source_edit_plan_id: str = Field(
-        default="",
-        description="关联的编辑计划ID（可选），用于确认生成时复用预览产物",
-    )
-    title_config: dict = Field(
-        default_factory=dict,
-        description="标题配置（可选），渲染时烧录到预览视频中。支持字段: text/font/font_size/font_color/position/bold/stroke/shadow。N个变体时样式全局共用",
-    )
-    # ── 多变体独立配置（preview_count > 1）──
-    # 长度 1 = 所有变体共用；长度 = preview_count = 每个变体独立；空数组 = 回退单值字段
-    titles: list[str] = Field(
-        default_factory=list,
-        description="各变体独立标题文字数组：长度1=共用，长度=preview_count=独立。为空时使用 title_config.text",
-    )
-    voice_library_ids: list[str] = Field(
-        default_factory=list,
-        description="各变体独立配音素材库ID数组：长度1=共用，长度=preview_count=独立。为空时回退 voice_library_id",
-    )
-    cover_urls: list[str] = Field(
-        default_factory=list,
-        description="各变体独立封面URL数组：长度1=共用，长度=preview_count=独立（预览阶段通常为空）",
-    )
-
-    @model_validator(mode="after")
-    def _check_variant_arrays(self) -> "CreatePreviewGenerationTaskRequest":
-        """变体数组字段长度校验 + #1749 配音严格守卫。"""
-        for name in ("titles", "cover_urls"):
-            arr = getattr(self, name)
-            if arr and len(arr) != 1 and len(arr) != self.preview_count:
-                raise ValueError(
-                    f"{name} 长度必须为 1（共用）或 {self.preview_count}（与 preview_count 一致），当前为 {len(arr)}"
-                )
-
-        from packages.domain.variant_voice_resolver import VariantVoiceError, resolve_variant_voice_ids
-
-        try:
-            resolve_variant_voice_ids(
-                count=self.preview_count,
-                voice_library_id=self.voice_library_id,
-                voice_library_ids=self.voice_library_ids or None,
-            )
-        except VariantVoiceError as exc:
-            raise ValueError(str(exc)) from exc
-        return self
-
-    @model_validator(mode="after")
-    def _check_template_id(self) -> "CreatePreviewGenerationTaskRequest":
-        if not self.template_id.strip():
-            raise ValueError("template_id 不能为空")
-        return self
-
-    @model_validator(mode="after")
-    def _check_asset_ids(self) -> "CreatePreviewGenerationTaskRequest":
-        if not self.asset_ids and not self.title_ids:
-            raise ValueError("asset_ids/title_ids 至少需要提供一个")
-        return self
-
-
-class PreviewGenerationTaskResponse(BaseModel):
-    """单个预览变体任务响应。
-
-    包含任务状态、进度、分辨率、生成结果 URL 等关键字段。
-    """
-
-    task_id: str
-    status: str
-    progress: float
-    is_preview: bool = True
-    variant_index: int = 0
-    resolution: str = ""
-    video_url: str = ""
-    duration: float = 0.0
-    file_size: int = 0
-    clip_count: int = 0
-    transition_count: int = 0
-    material_usage: dict = Field(default_factory=dict)
-    error_message: str = ""
-    title_text: str = ""
-    voice_library_id: str = ""
-    created_at: datetime | None = None
-    started_at: datetime | None = None
-    finished_at: datetime | None = None
-    generate_duration: float = 0.0
-
-
-class BatchPreviewGenerationTaskResponse(BaseModel):
-    """批量预览任务响应：preview_count=N 时返回 N 个独立变体任务。
-
-    - items: 变体任务数组，按 variant_index 顺序排列，每个含独立 task_id/状态/预览视频URL
-    - total: 变体总数（= preview_count）
-    - 前端按 items[i].task_id 分别轮询 GET /preview/{task_id} 获取进度与结果
-    """
-
-    items: list[PreviewGenerationTaskResponse]
-    total: int
@@ -1,70 +0,0 @@
-"""对口型 API Schema 定义 — #1796."""
-
-from __future__ import annotations
-
-from datetime import datetime
-from typing import Optional
-
-from pydantic import BaseModel, Field, field_validator
-
-
-class LipsyncJobResponse(BaseModel):
-    """对口型任务响应."""
-
-    id: str
-    user_id: str
-    project_id: str
-    video_url: str
-    audio_url: str
-    enable_video_loop: bool
-    mediakit_task_id: str
-    status: str
-    output_video_url: str
-    output_duration: float
-    error_message: str
-    error_code: str
-    submitted_at: Optional[datetime] = None
-    completed_at: Optional[datetime] = None
-    created_at: datetime
-    updated_at: datetime
-
-    class Config:
-        from_attributes = True
-
-
-class CreateLipsyncJobRequest(BaseModel):
-    """创建对口型任务请求."""
-
-    video_url: str = Field(..., description="人物视频 URL（MP4，≤30min，单人真人）")
-    audio_url: str = Field(..., description="驱动音频 URL（mp3/aac/wav/m4a/flac）")
-    enable_video_loop: bool = Field(False, description="音频长于视频时是否循环画面")
-    project_id: str = Field("", description="项目 ID（可选）")
-
-    @field_validator("video_url")
-    @classmethod
-    def validate_video_url(cls, v: str) -> str:
-        v = v.strip()
-        if not v:
-            raise ValueError("video_url 不能为空")
-        if not v.startswith(("http://", "https://")):
-            raise ValueError("video_url 必须是 HTTP/HTTPS URL")
-        # 仅支持 MP4
-        lower = v.lower().split("?")[0]
-        if not lower.endswith(".mp4"):
-            raise ValueError("video_url 仅支持 MP4 格式")
-        return v
-
-    @field_validator("audio_url")
-    @classmethod
-    def validate_audio_url(cls, v: str) -> str:
-        v = v.strip()
-        if not v:
-            raise ValueError("audio_url 不能为空")
-        if not v.startswith(("http://", "https://")):
-            raise ValueError("audio_url 必须是 HTTP/HTTPS URL")
-        # 支持的音频格式
-        lower = v.lower().split("?")[0]
-        allowed_exts = (".mp3", ".aac", ".wav", ".m4a", ".flac")
-        if not any(lower.endswith(ext) for ext in allowed_exts):
-            raise ValueError(f"audio_url 格式不支持，仅支持: {', '.join(allowed_exts)}")
-        return v
@@ -1,45 +0,0 @@
-"""Script (口播文案库) Pydantic schemas — Issue #1795."""
-
-from __future__ import annotations
-
-from datetime import datetime
-from typing import List, Optional
-
-from pydantic import BaseModel, Field
-
-
-class ScriptSegment(BaseModel):
-    """单段文案."""
-
-    text: str
-    duration: Optional[float] = None
-
-
-class ScriptResponse(BaseModel):
-    id: str
-    user_id: str
-    title: str
-    content: str
-    segments: List[ScriptSegment] = Field(default_factory=list)
-    tags: List[str] = Field(default_factory=list)
-    created_at: datetime
-    updated_at: datetime
-
-
-class ScriptListResponse(BaseModel):
-    items: list[ScriptResponse]
-    total: int = 0
-
-
-class CreateScriptRequest(BaseModel):
-    title: str = Field(..., min_length=1, max_length=255)
-    content: str = ""
-    segments: List[ScriptSegment] = Field(default_factory=list)
-    tags: List[str] = Field(default_factory=list)
-
-
-class UpdateScriptRequest(BaseModel):
-    title: Optional[str] = Field(None, min_length=1, max_length=255)
-    content: Optional[str] = None
-    segments: Optional[List[ScriptSegment]] = None
-    tags: Optional[List[str]] = None
@@ -101,19 +101,3 @@ class SaveToLibraryResponse(BaseModel):
    voice_id: str
    voice_name: str
    status: str
-
-
-class TTSPreviewRequest(BaseModel):
-    """TTS 预览（试听）请求。"""
-
-    text: str = Field(..., min_length=1, max_length=200, description="合成文本，限制 200 字")
-    voice_id: str = Field(..., min_length=1, description="音色 ID")
-    speed: float = Field(1.0, ge=0.5, le=2.0, description="语速")
-    pitch: float = Field(1.0, ge=0.5, le=2.0, description="音调（预留，当前未使用）")
-
-
-class TTSPreviewResponse(BaseModel):
-    """TTS 预览（试听）响应。"""
-
-    audio_url: str = Field(..., description="合成音频 URL")
-    duration: Optional[float] = Field(default=None, description="音频时长（秒）")
@@ -16,7 +16,6 @@ class DirectUploadPrepareRequest(BaseModel):
    content_type: str = Field(default="application/octet-stream", min_length=1, max_length=100)
    file_size: int = Field(..., gt=0)
    file_hash: str = Field(default="", max_length=64, description="文件 MD5 哈希，用于去重检测")
-    client_upload_id: str = Field(default="", max_length=64, description="客户端幂等 token（同一次上传的重试保持一致）")


 class DirectUploadPrepareResponse(BaseModel):
@@ -26,31 +25,25 @@ class DirectUploadPrepareResponse(BaseModel):
    expires_at: str
    fields: dict[str, str]
    max_size_bytes: int
-    duplicated: bool = False
-    skip_transfer: bool = False
-    asset_id: str = ""


 class DirectUploadCompleteRequest(BaseModel):
    project_id: str = Field(..., min_length=1)
    library_id: str = Field(..., min_length=1)
    storage_key: str = Field(..., min_length=1, max_length=255)
-    file_hash: str = Field(default="", max_length=64, description="文件哈希，用于去重检测")
-    client_upload_id: str = Field(default="", max_length=64, description="客户端幂等 token（同一次上传的重试保持一致）")
-    file_size: int = Field(default=0, ge=0, description="文件大小（字节），用于无 hash 时的兜底去重")
+    file_hash: str = Field(default="", max_length=64, description="文件 MD5 哈希，用于去重检测")


 class DirectUploadCompleteResponse(BaseModel):
    storage_key: str
    ingest_job_id: str
-    duplicated: bool = Field(default=False, description="是否为重复素材/重复 complete（命中幂等去重）")
-    asset_id: str = Field(default="", description="素材 asset_id（重复 complete 时返回已存在记录）")
-    url: str = Field(default="", description="Public URL of uploaded file")
+    duplicated: bool = Field(default=False, description="是否为重复素材（命中去重）")
+    asset_id: str = Field(default="", description="重复素材的 asset_id（duplicated=true 时返回）")


 class UploadAssetResponse(BaseModel):
    storage_key: str
    ingest_job_id: str
    url: str = Field(..., description="Public URL of uploaded file")
-    duplicated: bool = Field(default=False, description="是否为重复素材/重复提交（命中幂等去重）")
-    asset_id: str = Field(default="", description="素材 asset_id（重复提交时返回已存在记录）")
+    duplicated: bool = Field(default=False, description="是否为重复素材（命中去重）")
+    asset_id: str = Field(default="", description="重复素材的 asset_id（duplicated=true 时返回）")
@@ -22,10 +22,6 @@ class VideoItemResponse(BaseModel):
    generation_params: dict = Field(default_factory=dict)
    download_url: str | None = None
    generated_at: str = ""
-    # #1660 查重率（百分比 0~100）/ 视觉相似度（0~1）/ 匹配帧数
-    duplicate_rate: float | None = None
-    visual_similarity: float | None = None
-    match_count: int | None = None


 class ListVideosResponse(BaseModel):
@@ -13,8 +13,7 @@ class CreateVoiceCloneRequest(BaseModel):

    name: str = Field(..., min_length=1, max_length=100, description="音色名称")
    description: str = Field("", description="音色描述")
-    source_audio_url: str = Field("", description="参考音频 URL（与 asset_id 二选一）")
-    asset_id: str = Field("", description="参考音频素材 ID（配音素材库中的音频 asset，与 source_audio_url 二选一）")
+    source_audio_url: str = Field("", description="参考音频 URL")
    voice_model: str = Field("", description="语音模型名称")
    language: str = Field("zh-CN", description="语言")
    gender: str = Field("unknown", description="性别")
@@ -64,25 +63,3 @@ class ListVoiceCloneResponse(BaseModel):

    items: List[VoiceCloneProfileResponse]
    total: int
-
-
-class VoiceClonePreviewResponse(BaseModel):
-    """克隆音色试听响应。"""
-
-    clone_id: str
-    """音色克隆档案 ID"""
-
-    voice_id: str
-    """CosyVoice 音色 ID"""
-
-    audio_url: str
-    """试听音频 URL"""
-
-    text: str
-    """试听文本"""
-
-    duration: float = 0.0
-    """音频时长（秒）"""
-
-    file_size: int = 0
-    """文件大小（字节）"""
@@ -1,377 +0,0 @@
-"""AI数字人渲染合成 Service — #1798.
-
-职责：
- 创建/查询/取消渲染任务
- 调用 Celery 异步任务执行渲染
- B-roll 合成 + 标题叠加 + 封面提取
- 用户隔离
-"""
-
-from __future__ import annotations
-
-import logging
-import os
-import tempfile
-import uuid
-from datetime import datetime, timezone
-from typing import Any, Optional
-
-from sqlalchemy.orm import Session
-
-from packages.adapters.sqlalchemy_impl.models import (
-    AiAvatarRenderJob,
-    LipsyncJobModel,
-    ScriptModel,
-)
-from packages.domain.video_filter_builder import (
-    build_cover_extract_command,
-    build_title_drawtext_filter,
-)
-from packages.shared.storage import get_shared_storage_service
-
-logger = logging.getLogger(__name__)
-
-
-class AiAvatarRenderError(Exception):
-    """渲染服务异常."""
-
-    def __init__(self, message: str, code: str = "RenderError"):
-        self.code = code
-        super().__init__(message)
-
-
-class AiAvatarRenderService:
-    """AI数字人渲染合成 Service."""
-
-    def __init__(self, db: Session):
-        self.db = db
-
-    # ── 创建任务 ──────────────────────────────────────────────────────────
-
-    def create_render_job(
-        self,
-        *,
-        user_id: str,
-        lipsync_job_id: str,
-        script_id: str,
-        b_roll_segments: list[dict[str, Any]],
-        title_config: dict[str, Any],
-        cover_config: dict[str, Any],
-        project_id: str = "",
-    ) -> AiAvatarRenderJob:
-        """创建渲染任务.
-
-        Raises:
-            AiAvatarRenderError: 校验失败
-        """
-        # 1. 验证对口型任务
-        lipsync_job = (
-            self.db.query(LipsyncJobModel)
-            .filter(
-                LipsyncJobModel.id == lipsync_job_id,
-                LipsyncJobModel.user_id == user_id,
-            )
-            .first()
-        )
-        if lipsync_job is None:
-            raise AiAvatarRenderError("对口型任务不存在", code="LipsyncJobNotFound")
-        if lipsync_job.status != "completed":
-            raise AiAvatarRenderError(
-                f"对口型任务状态为 {lipsync_job.status}，仅 completed 状态可渲染",
-                code="LipsyncJobNotCompleted",
-            )
-        if not lipsync_job.output_video_url:
-            raise AiAvatarRenderError("对口型任务输出视频 URL 为空", code="LipsyncJobNoOutput")
-
-        # 2. 验证文案归属
-        script = (
-            self.db.query(ScriptModel)
-            .filter(
-                ScriptModel.id == script_id,
-                ScriptModel.user_id == user_id,
-            )
-            .first()
-        )
-        if script is None:
-            raise AiAvatarRenderError("文案不存在或无权访问", code="ScriptNotFound")
-
-        # 3. 创建渲染任务
-        job_id = str(uuid.uuid4())
-        job = AiAvatarRenderJob(
-            id=job_id,
-            user_id=user_id,
-            project_id=project_id,
-            lipsync_job_id=lipsync_job_id,
-            script_id=script_id,
-            b_roll_segments=[s if isinstance(s, dict) else s.model_dump() for s in b_roll_segments],
-            title_config=title_config,
-            cover_config=cover_config,
-            status="pending",
-        )
-        self.db.add(job)
-        self.db.flush()
-
-        job.submitted_at = datetime.now(timezone.utc)
-        self.db.commit()
-        self.db.refresh(job)
-        return job
-
-    # ── 查询任务 ──────────────────────────────────────────────────────────
-
-    def get_render_job(self, job_id: str, user_id: str) -> Optional[AiAvatarRenderJob]:
-        """获取渲染任务详情（用户隔离）."""
-        return (
-            self.db.query(AiAvatarRenderJob)
-            .filter(
-                AiAvatarRenderJob.id == job_id,
-                AiAvatarRenderJob.user_id == user_id,
-            )
-            .first()
-        )
-
-    def list_render_jobs(
-        self,
-        *,
-        user_id: str,
-        project_id: str = "",
-        status: str = "",
-        offset: int = 0,
-        limit: int = 20,
-    ) -> tuple[list[AiAvatarRenderJob], int]:
-        """获取渲染任务列表（分页 + 用户隔离）."""
-        query = self.db.query(AiAvatarRenderJob).filter(AiAvatarRenderJob.user_id == user_id)
-        if project_id:
-            query = query.filter(AiAvatarRenderJob.project_id == project_id)
-        if status:
-            query = query.filter(AiAvatarRenderJob.status == status)
-
-        total = query.count()
-        items = query.order_by(AiAvatarRenderJob.created_at.desc()).offset(offset).limit(limit).all()
-        return items, total
-
-    # ── 取消任务 ──────────────────────────────────────────────────────────
-
-    def cancel_render_job(self, job_id: str, user_id: str) -> Optional[AiAvatarRenderJob]:
-        """取消渲染任务（仅 pending 状态可取消）."""
-        job = self.get_render_job(job_id, user_id)
-        if job is None:
-            return None
-        if job.status in ("pending", "submitted"):
-            job.status = "cancelled"
-            job.updated_at = datetime.now(timezone.utc)
-            self.db.commit()
-            self.db.refresh(job)
-        return job
-
-    # ── 重试任务 ──────────────────────────────────────────────────────────
-
-    def retry_render_job(self, job_id: str, user_id: str) -> Optional[AiAvatarRenderJob]:
-        """重试失败的渲染任务."""
-        job = self.get_render_job(job_id, user_id)
-        if job is None:
-            return None
-        if job.status != "failed":
-            return None
-        job.status = "pending"
-        job.progress = 0
-        job.error_message = ""
-        job.output_video_url = ""
-        job.output_cover_url = ""
-        job.output_duration = 0.0
-        job.started_at = None
-        job.completed_at = None
-        job.updated_at = datetime.now(timezone.utc)
-        self.db.commit()
-        self.db.refresh(job)
-        return job
-
-    # ── 执行渲染（Celery 异步调用） ──────────────────────────────────────
-
-    def execute_render(self, job_id: str) -> None:
-        """执行渲染管线.
-
-        由 Celery 异步任务调用，流程:
-        1. 下载对口型输出视频 (20%)
-        2. 构建 FFmpeg 滤镜链 (40%)
-        3. 执行 FFmpeg 渲染 (80%)
-        4. 提取封面 (90%)
-        5. 上传到 OSS (95%)
-        6. 更新任务状态 (100%)
-        """
-        job = self.db.query(AiAvatarRenderJob).filter(AiAvatarRenderJob.id == job_id).first()
-        if job is None:
-            logger.error("渲染任务不存在: %s", job_id)
-            return
-
-        if job.status == "cancelled":
-            logger.info("渲染任务已取消: %s", job_id)
-            return
-
-        try:
-            # 更新状态为 processing
-            job.status = "processing"
-            job.started_at = datetime.now(timezone.utc)
-            job.progress = 5
-            job.updated_at = datetime.now(timezone.utc)
-            self.db.commit()
-
-            # 获取对口型任务信息
-            lipsync_job = self.db.query(LipsyncJobModel).filter(LipsyncJobModel.id == job.lipsync_job_id).first()
-            if lipsync_job is None:
-                raise AiAvatarRenderError("关联的对口型任务不存在", code="LipsyncJobNotFound")
-
-            # 1. 下载对口型输出视频 (20%)
-            input_video_path = self._download_video(lipsync_job.output_video_url)
-            job.progress = 20
-            self.db.commit()
-
-            # 2. 构建 FFmpeg 滤镜链 (40%)
-            from packages.domain.video_filter_builder import build_broll_overlay_filter
-
-            filter_complex = build_broll_overlay_filter(
-                b_roll_segments=job.b_roll_segments,
-                video_duration=lipsync_job.output_duration,
-            )
-
-            # 标题叠加
-            title_filter = build_title_drawtext_filter(job.title_config)
-            if title_filter:
-                if filter_complex:
-                    filter_complex += f"[vout]{title_filter}[vout_titled];"
-                else:
-                    filter_complex = f"[0:v]{title_filter}[vout_titled];"
-
-            # 清理末尾分号
-            if filter_complex.endswith(";"):
-                filter_complex = filter_complex[:-1]
-
-            # 最终输出标签
-            final_label = "vout_titled" if title_filter else ("vout" if filter_complex else None)
-
-            job.progress = 40
-            self.db.commit()
-
-            # 3. 执行 FFmpeg 渲染 (80%)
-            with tempfile.TemporaryDirectory() as tmpdir:
-                output_video_path = os.path.join(tmpdir, "output.mp4")
-
-                cmd = self._build_ffmpeg_command(
-                    input_video=input_video_path,
-                    b_roll_segments=job.b_roll_segments,
-                    filter_complex=filter_complex,
-                    final_label=final_label,
-                    output_path=output_video_path,
-                )
-
-                exit_code = os.system(cmd)
-                if exit_code != 0:
-                    raise AiAvatarRenderError(f"FFmpeg 渲染失败，退出码: {exit_code}", code="FFmpegFailed")
-
-                job.progress = 80
-                self.db.commit()
-
-                # 4. 提取封面 (90%)
-                cover_path = ""
-                if job.cover_config:
-                    cover_path = os.path.join(tmpdir, "cover.jpg")
-                    cover_cmd = build_cover_extract_command(job.cover_config, cover_path)
-                    cover_cmd = cover_cmd.replace("INPUT_VIDEO", output_video_path)
-                    cover_exit = os.system(cover_cmd)
-                    if cover_exit != 0:
-                        logger.warning("封面提取失败，跳过: %s", cover_cmd)
-                        cover_path = ""
-
-                job.progress = 90
-                self.db.commit()
-
-                # 5. 上传到 OSS (95%)
-                output_video_url = self._upload_to_oss(output_video_path, f"ai-avatar/{job_id}/output.mp4")
-                job.output_video_url = output_video_url
-
-                if cover_path:
-                    output_cover_url = self._upload_to_oss(cover_path, f"ai-avatar/{job_id}/cover.jpg")
-                    job.output_cover_url = output_cover_url
-
-                # 获取输出视频时长
-                job.output_duration = lipsync_job.output_duration
-                job.progress = 95
-                self.db.commit()
-
-            # 6. 完成
-            job.status = "completed"
-            job.progress = 100
-            job.completed_at = datetime.now(timezone.utc)
-            job.updated_at = datetime.now(timezone.utc)
-            self.db.commit()
-            logger.info("渲染任务完成: %s", job_id)
-
-        except AiAvatarRenderError as exc:
-            job.status = "failed"
-            job.error_message = str(exc)
-            job.updated_at = datetime.now(timezone.utc)
-            self.db.commit()
-            logger.error("渲染任务失败 [%s]: %s", job_id, exc)
-        except Exception as exc:
-            job.status = "failed"
-            job.error_message = f"渲染异常: {str(exc)}"
-            job.updated_at = datetime.now(timezone.utc)
-            self.db.commit()
-            logger.exception("渲染任务异常 [%s]", job_id)
-
-    def _download_video(self, url: str) -> str:
-        """下载视频到临时文件."""
-        import httpx
-
-        tmp = tempfile.NamedTemporaryFile(suffix=".mp4", delete=False)
-        try:
-            with httpx.Client(timeout=120) as client:
-                resp = client.get(url)
-                resp.raise_for_status()
-                tmp.write(resp.content)
-            return tmp.name
-        except Exception:
-            if os.path.exists(tmp.name):
-                os.unlink(tmp.name)
-            raise
-
-    def _build_ffmpeg_command(
-        self,
-        *,
-        input_video: str,
-        b_roll_segments: list[dict[str, Any]],
-        filter_complex: str,
-        final_label: Optional[str],
-        output_path: str,
-    ) -> str:
-        """构建 FFmpeg 命令."""
-        # 输入文件
-        inputs = f"-i {input_video}"
-        for seg in b_roll_segments:
-            asset_url = seg.get("asset_url", "")
-            if asset_url:
-                inputs += f" -i {asset_url}"
-
-        # 滤镜
-        if filter_complex and final_label:
-            filter_arg = f'-filter_complex "{filter_complex}" -map "[{final_label}]"'
-        elif filter_complex:
-            filter_arg = f'-filter_complex "{filter_complex}"'
-        else:
-            filter_arg = ""
-
-        return f"ffmpeg {inputs} {filter_arg} -c:v libx264 -preset fast -crf 23 -y {output_path}"
-
-    def _upload_to_oss(self, local_path: str, oss_key: str) -> str:
-        """上传文件到 OSS，返回 URL.
-
-        使用 SharedStorageService 统一存储服务。
-        """
-        storage = get_shared_storage_service()
-        url = storage.upload_file_smart(local_path, oss_key)
-        if url is None:
-            raise AiAvatarRenderError(
-                f"上传文件到 OSS 失败: {oss_key}",
-                code="OSSUploadFailed",
-            )
-        logger.info("上传文件到 OSS 成功: %s -> %s", local_path, url)
-        return url
@@ -1,494 +0,0 @@
-"""素材片段级使用记录追踪与受控复用.
-
-在素材 metadata（assets.classification_result JSON）中持久化已使用的片段时间区间，
-供 from-assets 创建片段时避开历史区间，实现跨任务/跨调用的片段去重；
-素材可用区间耗尽后进入受控复用：允许有限次数（MAX_RANGE_USE_COUNT）复用最久未用
-的历史区间，配合调用方的成片复用占比控制（MAX_REUSE_RATIO = 10%），把任意两条
-成片的画面重复率控制在阈值内。
-
-metadata 中的记录字段 ``used_time_ranges``::
-
-    "used_time_ranges": [
-        {
-            "start": 12.5, "end": 20.3,
-            "plan_id": "plan-xxx",
-            "created_at": "2026-08-29T12:00:00+00:00",
-            "use_count": 1,              # 该区间累计被使用次数（复用一次 +1）
-            "last_used_at": "2026-08-29T12:00:00+00:00"  # 最近一次使用时间
-        },
-        ...
-    ]
-
-注意：本模块所有函数都不自行 commit，由调用方控制事务边界
-（from-assets 与 replace_all_clips_transactional 同事务；异步任务各自 commit）。
-历史记录永不自动清空（自动轮回重置已下线，reset_used_segments 仅保留给运维/测试）。
-"""
-
-from __future__ import annotations
-
-import json
-import logging
-from datetime import datetime, timezone
-from typing import Callable
-
-from sqlalchemy.orm import Session
-
-from packages.adapters.sqlalchemy_impl.models import AssetModel
-
-logger = logging.getLogger(__name__)
-
-USED_RANGES_KEY = "used_time_ranges"
-
-# ── 受控复用配置常量 ─────────────────────────────────────────────────────────
-MAX_RANGE_USE_COUNT = 2
-"""单条历史区间最多被使用次数（含首次），达到后不再参与复用。"""
-
-REUSE_RATIO_LIMIT = 0.10
-"""单条成片中，单个素材的复用片段累计时长 / 该素材在成片中的总时长上限（10%）。
-超过则该素材不再分配新片段（调用方在轮询分配时跳过）。"""
-
-SEGMENT_EDGE_GAP = 1.5
-"""冲突判定边缘间隙（秒）：历史区间按 [start-gap, end+gap] 扩边后参与冲突检测，
-避免两条片段首尾紧贴导致画面观感重复；记录仍存实际值。"""
-
-# 判定"新片段与历史区间为同一次使用（复用）"的重叠率阈值：
-# 重叠时长 / 新区间时长超过该比例视为复用该历史区间（累加 use_count）而非新增记录。
-_REUSE_OVERLAP_RATIO = 0.6
-
-
-def _now_iso() -> str:
-    return datetime.now(timezone.utc).isoformat()
-
-
-def _read_meta(model) -> dict:
-    """读取素材 metadata dict。
-
-    兼容两种对象：
-    - ORM ``AssetModel``：metadata 以 JSON 字符串存在 ``classification_result`` 列；
-    - 领域实体 ``Asset``（路由层 repository 返回）：metadata 直接是 dict 属性
-      （repository 与 classification_result 互转，见 asset_repository.py）。
-    """
-    # 领域实体：metadata 已是 dict
-    meta = getattr(model, "metadata", None)
-    if isinstance(meta, dict):
-        return meta
-    raw = getattr(model, "classification_result", None)
-    if not raw:
-        return {}
-    try:
-        data = json.loads(raw) if isinstance(raw, str) else raw
-        return data if isinstance(data, dict) else {}
-    except Exception:
-        return {}
-
-
-def _get_model(db: Session, asset_id: str, for_update: bool = False) -> AssetModel | None:
-    query = db.query(AssetModel).filter(AssetModel.id == asset_id)
-    if for_update:
-        # 行级锁（PostgreSQL SELECT ... FOR UPDATE）：序列化同一素材的
-        # classification_result 读-改-写，避免并发事务丢失使用记录。
-        # SQLite 不支持时 SQLAlchemy 会忽略该子句（no-op）。
-        query = query.with_for_update()
-    return query.first()
-
-
-def get_used_segments(db: Session, asset_ids: list[str]) -> dict[str, list[tuple[float, float]]]:
-    """聚合多个素材的历史已用片段区间。
-
-    Returns:
-        ``{asset_id: [(start, end), ...]}`` 格式，与 ``_calc_random_start_time`` 的
-        ``used_segments`` 参数格式一致，可直接传入。
-    """
-    if not asset_ids:
-        return {}
-    result: dict[str, list[tuple[float, float]]] = {}
-    models = db.query(AssetModel).filter(AssetModel.id.in_(list(set(asset_ids)))).all()
-    for model in models:
-        meta = _read_meta(model)
-        ranges = meta.get(USED_RANGES_KEY) or []
-        segments: list[tuple[float, float]] = []
-        for r in ranges:
-            try:
-                segments.append((float(r["start"]), float(r["end"])))
-            except (KeyError, TypeError, ValueError):
-                continue
-        if segments:
-            result[model.id] = segments
-    return result
-
-
-def record_used_segments(
-    db: Session,
-    asset_id: str,
-    start: float,
-    end: float,
-    plan_id: str,
-) -> None:
-    """记录一次片段使用（不 commit）.
-
-    若新区间与某条历史区间高度重叠（复用场景，如受控复用回调返回的区间、
-    MediaKit 挪到历史区间），则累加该记录的 ``use_count`` 并刷新 ``last_used_at``，
-    不新增记录；否则追加一条新记录（use_count=1）。
-    """
-    # 行级锁读取：与并发生成任务互斥，保证区间记录读-改-写一致
-    model = _get_model(db, asset_id, for_update=True)
-    if model is None:
-        logger.warning("[片段追踪] 素材不存在，跳过记录: asset_id=%s", asset_id)
-        return
-    meta = _read_meta(model)
-    ranges = list(meta.get(USED_RANGES_KEY) or [])
-
-    new_start = round(float(start), 3)
-    new_end = round(float(end), 3)
-    new_dur = max(new_end - new_start, 1e-6)
-    now = _now_iso()
-
-    for r in ranges:
-        try:
-            rs, re_ = float(r["start"]), float(r["end"])
-        except (KeyError, TypeError, ValueError):
-            continue
-        overlap = max(0.0, min(new_end, re_) - max(new_start, rs))
-        if overlap / new_dur >= _REUSE_OVERLAP_RATIO:
-            # 复用同一条历史区间：累加次数、刷新时间
-            r["use_count"] = int(r.get("use_count", 1)) + 1
-            r["last_used_at"] = now
-            r["plan_id"] = plan_id
-            meta[USED_RANGES_KEY] = ranges
-            model.classification_result = json.dumps(meta, ensure_ascii=False)
-            model.updated_at = datetime.now(timezone.utc)
-            return
-
-    ranges.append(
-        {
-            "start": new_start,
-            "end": new_end,
-            "plan_id": plan_id,
-            "created_at": now,
-            "use_count": 1,
-            "last_used_at": now,
-        }
-    )
-    meta[USED_RANGES_KEY] = ranges
-    model.classification_result = json.dumps(meta, ensure_ascii=False)
-    model.updated_at = datetime.now(timezone.utc)
-
-
-def remove_used_segment(
-    db: Session,
-    asset_id: str,
-    start: float,
-    end: float,
-    plan_id: str | None = None,
-    tolerance: float = 0.5,
-) -> bool:
-    """删除素材 metadata 中匹配的一条使用记录（不 commit）.
-
-    匹配规则：start/end 与记录值相差不超过 tolerance 秒；plan_id 非空时，
-    记录有 plan_id 则需相等，记录缺 plan_id（本功能上线前的旧数据）时按时间匹配。
-    Returns:
-        是否找到并删除了记录。
-    """
-    model = _get_model(db, asset_id)
-    if model is None:
-        return False
-    meta = _read_meta(model)
-    ranges = list(meta.get(USED_RANGES_KEY) or [])
-    remaining: list[dict] = []
-    removed = False
-    for r in ranges:
-        try:
-            match = (
-                abs(float(r["start"]) - float(start)) <= tolerance and abs(float(r["end"]) - float(end)) <= tolerance
-            )
-        except (KeyError, TypeError, ValueError):
-            remaining.append(r)
-            continue
-        # plan_id 校验：传入 plan_id 时，记录有 plan_id 则必须相等；
-        # 记录本身缺 plan_id（旧数据）时退化为按时间匹配，避免旧区间永远删不掉
-        if plan_id is not None and r.get("plan_id") is not None and r.get("plan_id") != plan_id:
-            match = False
-        if match and not removed:
-            removed = True
-            continue
-        remaining.append(r)
-    if removed:
-        meta[USED_RANGES_KEY] = remaining
-        model.classification_result = json.dumps(meta, ensure_ascii=False)
-        model.updated_at = datetime.now(timezone.utc)
-    return removed
-
-
-def reset_used_segments(db: Session, asset_id: str) -> None:
-    """清空单个素材的历史片段使用记录（不 commit）.
-
-    仅供运维/测试使用；正常生成流程中历史记录永不自动清空（受控复用取代自动轮回）。
-    """
-    model = _get_model(db, asset_id)
-    if model is None:
-        return
-    meta = _read_meta(model)
-    if meta.get(USED_RANGES_KEY):
-        meta[USED_RANGES_KEY] = []
-        model.classification_result = json.dumps(meta, ensure_ascii=False)
-        model.updated_at = datetime.now(timezone.utc)
-        logger.info("[片段追踪] 素材区间记录手动清空: asset_id=%s", asset_id)
-
-
-# ── 素材余量/可用性计算（Task H：素材库角标 + smart-match 过滤）──────────────
-
-# 判定「是否还有空闲可切区间」时使用的最小片段时长（秒）：空闲段长于此值才视为可切
-_MIN_FREE_CLIP_DURATION = 3.0
-
-
-def _merge_intervals(intervals: list[tuple[float, float]]) -> list[tuple[float, float]]:
-    """合并重叠/相接的时间区间，返回升序不重叠区间列表。"""
-    if not intervals:
-        return []
-    ordered = sorted((float(a), float(b)) for a, b in intervals if b > a)
-    merged: list[tuple[float, float]] = [ordered[0]]
-    for start, end in ordered[1:]:
-        last_start, last_end = merged[-1]
-        if start <= last_end:
-            merged[-1] = (last_start, max(last_end, end))
-        else:
-            merged.append((start, end))
-    return merged
-
-
-def _has_free_gap(used: list[tuple[float, float]], total: float, min_free: float = _MIN_FREE_CLIP_DURATION) -> bool:
-    """素材 [0, total] 中是否存在长度 ≥ min_free 的空闲段（考虑边缘间隙）。"""
-    if total <= 0:
-        return False
-    # 历史区间按边缘间隙扩边后判定空闲（与选片冲突检测同一口径）
-    expanded = [(max(0.0, s - SEGMENT_EDGE_GAP), min(total, e + SEGMENT_EDGE_GAP)) for s, e in used]
-    merged = _merge_intervals(expanded)
-    cursor = 0.0
-    for start, end in merged:
-        if start - cursor >= min_free:
-            return True
-        cursor = max(cursor, end)
-    return total - cursor >= min_free
-
-
-def compute_asset_availability(
-    model: "AssetModel | None",
-    min_free_clip_duration: float = _MIN_FREE_CLIP_DURATION,
-) -> dict | None:
-    """计算单个素材的余量与可用性（纯函数，不读写 DB）。
-
-    Returns:
-        视频素材返回 ``{"used_duration", "available_duration", "used_ratio", "usable"}``；
-        非视频 / 无 model / 无时长信息返回 None（调用方按可用处理，零影响）。
-
-    usable=False 条件（与受控复用机制一致）：
-        零重复可切区间已耗尽（不存在 ≥ min_free 的空闲段）且
-        所有历史区间 use_count 均达 MAX_RANGE_USE_COUNT 上限（无区间可复用）。
-    """
-    if model is None:
-        return None
-    file_type = getattr(model, "file_type", None) or getattr(model, "mime_type", "") or ""
-    if file_type != "video" and not str(file_type).startswith("video/"):
-        return None
-    total = float(getattr(model, "duration", 0.0) or 0.0)
-    if total <= 0:
-        return None
-
-    meta = _read_meta(model)
-    raw_ranges = meta.get(USED_RANGES_KEY) or []
-
-    intervals: list[tuple[float, float]] = []
-    use_counts: list[int] = []
-    for r in raw_ranges:
-        try:
-            start = float(r["start"])
-            end = float(r["end"])
-        except (KeyError, TypeError, ValueError):
-            continue
-        if end <= start:
-            continue
-        intervals.append((start, end))
-        try:
-            use_counts.append(int(r.get("use_count", 1)))
-        except (TypeError, ValueError):
-            use_counts.append(1)
-
-    merged = _merge_intervals(intervals)
-    used_duration = round(sum(e - s for s, e in merged), 3)
-    used_duration = min(used_duration, total)
-    available_duration = round(max(total - used_duration, 0.0), 3)
-    used_ratio = round(min(used_duration / total, 1.0), 4)
-
-    has_free = _has_free_gap(intervals, total, min_free_clip_duration)
-    if has_free:
-        usable = True
-    else:
-        # 空闲段耗尽：仅当存在历史区间且全部达复用上限时才判定不可用；
-        # 无历史区间（理论上不会走到，因为 has_free=True）按可用处理
-        if not use_counts:
-            usable = True
-        else:
-            usable = any(uc < MAX_RANGE_USE_COUNT for uc in use_counts)
-
-    return {
-        "used_duration": used_duration,
-        "available_duration": available_duration,
-        "used_ratio": used_ratio,
-        "usable": usable,
-    }
-
-
-def find_reusable_range(
-    db: Session,
-    asset_id: str,
-    clip_duration: float,
-    asset_total: float,
-    *,
-    max_use_count: int = MAX_RANGE_USE_COUNT,
-) -> tuple[float, float] | None:
-    """受控复用：在素材历史区间中选一条可复用区间返回 (start, end)。
-
-    选择规则：
-    1. 仅选 ``use_count < max_use_count`` 的历史区间；
-    2. 优先返回能完整容纳当前 clip_duration（起点后不越素材边界）的最久未用区间；
-    3. 没有能容纳的，则返回 last_used_at 最老（或缺失 last_used_at 的旧数据优先）
-       且 use_count 最低的区间起点（可能与其他历史区间重叠，属降级复用）；
-    4. 无任何可复用区间（记录为空或全部达上限）返回 None。
-
-    本函数只读不写；复用次数的累加由后续 record_used_segments 完成。
-    """
-    model = _get_model(db, asset_id)
-    if model is None:
-        return None
-    meta = _read_meta(model)
-    ranges = [r for r in (meta.get(USED_RANGES_KEY) or []) if int(r.get("use_count", 1)) < max_use_count]
-    if not ranges:
-        return None
-
-    def _last_used(r: dict) -> str:
-        return str(r.get("last_used_at") or r.get("created_at") or "")
-
-    max_start = max(0.0, asset_total - clip_duration)
-    # 2. 能完整容纳当前片段的候选：按 last_used_at 升序（最久未用优先）
-    fit = sorted(
-        [r for r in ranges if float(r["start"]) <= max_start + 1e-6],
-        key=_last_used,
-    )
-    if fit:
-        start = min(float(fit[0]["start"]), max_start)
-        return (start, start + clip_duration)
-
-    # 3. 降级：最久未用 + use_count 最低的区间起点
-    fallback = sorted(ranges, key=lambda r: (_last_used(r), int(r.get("use_count", 1))))[0]
-    start = min(float(fallback["start"]), max_start)
-    return (start, start + clip_duration)
-
-
-def make_reuse_callback(
-    db: Session,
-    asset_durations: dict[str, float],
-    reused_tracker: dict[str, float] | None = None,
-    assigned_tracker: dict[str, float] | None = None,
-    ratio_limit: float = REUSE_RATIO_LIMIT,
-) -> Callable[[str, float], tuple[float, float] | None]:
-    """构造给 ``_calc_random_start_time`` 用的受控复用回调.
-
-    Args:
-        db: SQLAlchemy session
-        asset_durations: 素材 ID -> 总时长（回调需要素材总时长做边界约束）
-        reused_tracker: 可选的 ``{asset_id: 累计复用时长}``，回调成功返回复用区间时
-            会把本次片段时长累加进去，供调用方统计成片复用占比（10% 阈值）。
-        assigned_tracker: 可选的 ``{asset_id: 已分配片段总时长}``，配合 ratio_limit
-            在复用前预判：若复用本片段后占比 (reused + clip_duration) /
-            (assigned + clip_duration) 超过 ratio_limit，则拒绝复用、返回 None
-            （保证成片复用占比不超阈值）。
-        ratio_limit: 单条成片复用时长占比上限，默认 10%。
-
-    Returns:
-        回调函数 ``(asset_id, clip_duration) -> (start, end) | None``。
-        回调内吞掉 DB 异常返回 None，不影响主生成流程。
-    """
-
-    def _reuse(asset_id: str, clip_duration: float) -> tuple[float, float] | None:
-        try:
-            total = float(asset_durations.get(asset_id, 0.0) or 0.0)
-            if total <= 0:
-                return None
-            # 占比闸门：预判复用本片段后是否超限（仅当调用方提供了 assigned tracker）
-            if assigned_tracker is not None:
-                assigned = float(assigned_tracker.get(asset_id, 0.0) or 0.0)
-                reused_amt = float((reused_tracker or {}).get(asset_id, 0.0) or 0.0)
-                if assigned > 0 and (reused_amt + clip_duration) / (assigned + clip_duration) > ratio_limit:
-                    logger.info(
-                        "[片段追踪] 复用占比预判超 %.0f%% 阈值，拒绝复用: asset_id=%s "
-                        "reused=%.1f assigned=%.1f clip=%.1f",
-                        ratio_limit * 100,
-                        asset_id,
-                        reused_amt,
-                        assigned,
-                        clip_duration,
-                    )
-                    return None
-            result = find_reusable_range(db, asset_id, clip_duration, total)
-        except Exception:
-            logger.warning("[片段追踪] 受控复用查询异常: asset_id=%s", asset_id, exc_info=True)
-            return None
-        if result is not None and reused_tracker is not None:
-            reused_tracker[asset_id] = reused_tracker.get(asset_id, 0.0) + clip_duration
-        return result
-
-    return _reuse
-
-
-def get_asset_recent_use_counts(
-    db: Session,
-    asset_ids: list[str],
-    recent_video_count: int = 5,
-) -> dict[str, int]:
-    """统计每个素材在最近 N 个不同 plan_id 中的使用次数。
-
-    遍历素材 metadata 中的 used_time_ranges，统计有多少个不同的 plan_id（去重），
-    返回 {asset_id: count}。只统计最近 recent_video_count 个不同 plan_id 的使用次数。
-
-    Args:
-        db: 数据库会话
-        asset_ids: 素材 ID 列表
-        recent_video_count: 统计最近多少个不同 plan_id
-
-    Returns:
-        {asset_id: 在最近 recent_video_count 个 plan 中的使用次数}
-    """
-    if not asset_ids:
-        return {}
-
-    result: dict[str, int] = {}
-    models = db.query(AssetModel).filter(AssetModel.id.in_(asset_ids)).all()
-    for model in models:
-        meta = _read_meta(model)
-        ranges = meta.get(USED_RANGES_KEY) or []
-        if not ranges:
-            result[model.id] = 0
-            continue
-
-        # 按 created_at 倒序收集不同 plan_id
-        sorted_ranges = sorted(
-            ranges,
-            key=lambda r: r.get("created_at") or "",
-            reverse=True,
-        )
-        recent_plan_ids: set[str] = set()
-        for r in sorted_ranges:
-            plan_id = r.get("plan_id")
-            if plan_id:
-                recent_plan_ids.add(plan_id)
-            if len(recent_plan_ids) >= recent_video_count:
-                break
-
-        result[model.id] = len(recent_plan_ids)
-
-    # 未找到的素材计为 0
-    for aid in asset_ids:
-        if aid not in result:
-            result[aid] = 0
-
-    return result
@@ -0,0 +1,276 @@
+"""封面管理服务.
+
+提供封面配置管理和从视频抽帧生成封面的能力。
+抽帧使用 FFmpeg，上传使用共享存储服务。
+"""
+
+from __future__ import annotations
+
+import logging
+import tempfile
+from pathlib import Path
+from typing import Any, Dict
+
+logger = logging.getLogger(__name__)
+
+
+# ── 常量 ──────────────────────────────────────────────────────────────────────
+
+DEFAULT_COVER_WIDTH = 1080
+DEFAULT_COVER_HEIGHT = 1920
+DEFAULT_COVER_QUALITY = 5  # JPEG quality (1-31, 越小越好)
+COVER_STORAGE_PREFIX = "covers"
+
+
+class CoverService:
+    """封面管理服务."""
+
+    def __init__(self, storage_service: Any, asset_repository: Any) -> None:
+        self._storage = storage_service
+        self._asset_repo = asset_repository
+
+    # ── 配置读写 ──────────────────────────────────────────────────────────
+
+    @staticmethod
+    def get_cover_config(plan_config: Dict[str, Any]) -> Dict[str, Any]:
+        """从 plan.config 中提取封面配置.
+
+        Args:
+            plan_config: 剪辑计划的 config 字段
+
+        Returns:
+            封面配置 dict
+        """
+        cover = plan_config.get("cover", {})
+        if not isinstance(cover, dict):
+            cover = {}
+        # 确保默认字段存在
+        return {
+            "type": cover.get("type", "ai_frame"),
+            "image_url": cover.get("image_url", ""),
+            "frame_time": cover.get("frame_time"),
+        }
+
+    # ── 抽帧生成封面 ──────────────────────────────────────────────────────
+
+    def extract_cover_from_clip(
+        self,
+        plan_id: str,
+        asset_id: str,
+        frame_time: float = 1.0,
+        *,
+        width: int = DEFAULT_COVER_WIDTH,
+        height: int = DEFAULT_COVER_HEIGHT,
+        quality: int = DEFAULT_COVER_QUALITY,
+    ) -> Dict[str, Any]:
+        """从指定素材的指定时间点抽取一帧作为封面.
+
+        Args:
+            plan_id: 剪辑计划 ID（用于生成存储路径）
+            asset_id: 素材 ID
+            frame_time: 抽帧时间点（秒）
+            width: 输出宽度
+            height: 输出高度
+            quality: JPEG 质量
+
+        Returns:
+            封面数据 dict，包含 type / image_url / frame_time
+
+        Raises:
+            ValueError: 素材不存在或不是视频
+            RuntimeError: 抽帧或上传失败
+        """
+        # 1. 获取素材
+        asset = self._asset_repo.get(asset_id) if self._asset_repo else None
+        if not asset:
+            raise ValueError(f"素材不存在: {asset_id}")
+
+        storage_key = getattr(asset, "storage_key", "")
+        if not storage_key:
+            raise ValueError(f"素材没有文件: {asset_id}")
+
+        mime_type = getattr(asset, "mime_type", "")
+        if mime_type and not mime_type.startswith("video"):
+            raise ValueError(f"素材不是视频类型: {mime_type}")
+
+        # 2. 下载视频到临时目录
+        with tempfile.TemporaryDirectory(prefix="cover_extract_") as tmp_dir:
+            tmp_path = Path(tmp_dir)
+            video_path = tmp_path / f"source_{asset_id[:8]}"
+
+            logger.info("下载素材用于封面抽帧: asset_id=%s", asset_id)
+            try:
+                self._storage.download_file(storage_key, str(video_path))
+            except Exception as e:
+                raise RuntimeError(f"下载素材失败: {e}") from e
+
+            if not video_path.exists() or video_path.stat().st_size == 0:
+                raise RuntimeError("下载的素材文件为空")
+
+            # 3. FFmpeg 抽帧
+            output_path = tmp_path / "cover.jpg"
+            self._extract_frame(
+                video_path=video_path,
+                output_path=output_path,
+                time_sec=frame_time,
+                width=width,
+                height=height,
+                quality=quality,
+            )
+
+            if not output_path.exists() or output_path.stat().st_size == 0:
+                raise RuntimeError("封面抽帧失败")
+
+            # 4. 上传到 OSS
+            cover_key = f"{COVER_STORAGE_PREFIX}/{plan_id}/cover_{int(frame_time * 1000)}.jpg"
+            logger.info("上传封面到存储: key=%s", cover_key)
+
+            try:
+                self._storage.upload_file(
+                    file_or_path=str(output_path),
+                    storage_key=cover_key,
+                    content_type="image/jpeg",
+                )
+            except Exception as e:
+                raise RuntimeError(f"上传封面失败: {e}") from e
+
+            # 5. 获取访问 URL
+            try:
+                image_url = self._storage.get_url(cover_key)
+            except Exception:
+                image_url = cover_key  # 降级为 storage_key
+
+        logger.info(
+            "封面抽帧完成: plan_id=%s asset_id=%s time=%.2fs size=%d",
+            plan_id,
+            asset_id,
+            frame_time,
+            output_path.stat().st_size if output_path.exists() else 0,
+        )
+
+        return {
+            "type": "manual",
+            "image_url": image_url,
+            "frame_time": frame_time,
+        }
+
+    def generate_smart_cover(
+        self,
+        plan_id: str,
+        asset_id: str,
+        *,
+        width: int = DEFAULT_COVER_WIDTH,
+        height: int = DEFAULT_COVER_HEIGHT,
+        quality: int = DEFAULT_COVER_QUALITY,
+    ) -> Dict[str, Any]:
+        """智能选帧：从视频中选取多帧，选最清晰的一帧.
+
+        Args:
+            plan_id: 剪辑计划 ID
+            asset_id: 素材 ID
+            width: 输出宽度
+            height: 输出高度
+            quality: JPEG 质量
+
+        Returns:
+            封面数据 dict
+        """
+        # 简单实现：取视频 1/3 处的帧作为智能封面
+        # 更复杂的多帧选清晰帧可以后续优化
+        frame_time = 3.0  # 默认第3秒，后续可以根据视频时长动态计算
+
+        result = self.extract_cover_from_clip(
+            plan_id=plan_id,
+            asset_id=asset_id,
+            frame_time=frame_time,
+            width=width,
+            height=height,
+            quality=quality,
+        )
+        result["type"] = "ai_frame"
+        return result
+
+    # ── 内部方法 ──────────────────────────────────────────────────────────
+
+    @staticmethod
+    def _extract_frame(
+        video_path: Path,
+        output_path: Path,
+        *,
+        time_sec: float,
+        width: int,
+        height: int,
+        quality: int,
+    ) -> None:
+        """使用 FFmpeg 从视频中抽取一帧.
+
+        Args:
+            video_path: 视频文件路径
+            output_path: 输出图片路径
+            time_sec: 抽帧时间点（秒）
+            width: 输出宽度
+            height: 输出高度
+            quality: JPEG 质量
+        """
+        import subprocess
+
+        # scale + crop 实现 cover 裁剪
+        vf = f"scale={width}:{height}:force_original_aspect_ratio=increase," f"crop={width}:{height}"
+
+        command = [
+            "ffmpeg",
+            "-y",
+            "-ss",
+            f"{time_sec:.3f}",
+            "-i",
+            str(video_path),
+            "-vframes",
+            "1",
+            "-vf",
+            vf,
+            "-q:v",
+            str(quality),
+            "-f",
+            "mjpeg",
+            str(output_path),
+        ]
+
+        logger.debug("FFmpeg 抽帧命令: %s", " ".join(command))
+
+        try:
+            result = subprocess.run(
+                command,
+                capture_output=True,
+                text=True,
+                timeout=60,
+            )
+            if result.returncode != 0:
+                logger.warning("FFmpeg 抽帧返回非零: %s\nstderr: %s", result.returncode, result.stderr[-500:])
+                # 尝试不使用 scale+crop 的简化命令
+                simple_command = [
+                    "ffmpeg",
+                    "-y",
+                    "-ss",
+                    f"{time_sec:.3f}",
+                    "-i",
+                    str(video_path),
+                    "-vframes",
+                    "1",
+                    "-q:v",
+                    str(quality),
+                    "-f",
+                    "mjpeg",
+                    str(output_path),
+                ]
+                result2 = subprocess.run(
+                    simple_command,
+                    capture_output=True,
+                    text=True,
+                    timeout=60,
+                )
+                if result2.returncode != 0:
+                    raise RuntimeError(f"FFmpeg 抽帧失败: {result2.stderr[-300:]}")
+        except subprocess.TimeoutExpired as e:
+            raise RuntimeError("FFmpeg 抽帧超时") from e
+        except FileNotFoundError as e:
+            raise RuntimeError("FFmpeg 不可用") from e
@@ -9,12 +9,6 @@ from __future__ import annotations
 import logging
 from typing import Any, Dict, List, Optional

-from app.services.asset_segment_tracker import (
-    REUSE_RATIO_LIMIT,
-    get_used_segments,
-    make_reuse_callback,
-    record_used_segments,
-)
 from sqlalchemy.orm import Session

 from packages.adapters.sqlalchemy_impl import (
@@ -377,618 +371,6 @@ class EditPlanService:
        logger.info("删除所有片段: plan_id=%s count=%d", plan_id, count)
        return count

-    def replace_all_clips_transactional(
-        self,
-        plan_id: str,
-        clips_data: list[dict],
-    ) -> int:
-        """事务性地替换所有片段：清空→创建→标记ready，单事务保证原子性。
-
-        Args:
-            plan_id: 计划 ID
-            clips_data: 片段数据列表，每项包含 asset_id/start_time/duration/order
-
-        Returns:
-            int: 创建的片段数量
-
-        Raises:
-            Exception: 任何步骤失败时自动回滚
-        """
-        from packages.adapters.sqlalchemy_impl.models import EditPlanClipModel
-
-        db = self._clip_repo.session
-        try:
-            # 1. 清空现有 clips（不 commit）
-            deleted_count = db.query(EditPlanClipModel).filter(EditPlanClipModel.plan_id == plan_id).delete()
-
-            # 2. 批量创建新 clips（不 commit）
-            for i, clip_item in enumerate(clips_data):
-                order = clip_item.get("order") or i
-                clip = EditPlanClip.create(
-                    plan_id=plan_id,
-                    clip_type=clip_item.get("clip_type", "main"),
-                    order=order,
-                    asset_id=clip_item.get("asset_id", ""),
-                    text_content=clip_item.get("text_content", ""),
-                    start_time=clip_item.get("start_time", 0.0),
-                    duration=clip_item.get("duration", 0.0),
-                    transition_effect=clip_item.get("transition_effect", "cut"),
-                    transition_duration=clip_item.get("transition_duration", 0.0),
-                    playback_speed=clip_item.get("playback_speed", 1.0),
-                    config=clip_item.get("config") or None,
-                )
-                model = EditPlanClipModel(
-                    id=clip.id,
-                    plan_id=clip.plan_id,
-                    clip_type=clip.clip_type,
-                    order=clip.order,
-                    asset_id=clip.asset_id,
-                    text_content=clip.text_content,
-                    start_time=clip.start_time,
-                    duration=clip.duration,
-                    transition_effect=clip.transition_effect,
-                    transition_duration=clip.transition_duration,
-                    playback_speed=clip.playback_speed,
-                    status=clip.status.value,
-                    config=clip.config,
-                )
-                db.add(model)
-
-            # flush 让新建 clip 写入当前事务（未 commit），后续查询才能找到它们
-            db.flush()
-
-            # 3. 标记有 asset_id 的 clips 为 ready（不 commit）
-            pending_with_asset = (
-                db.query(EditPlanClipModel)
-                .filter(
-                    EditPlanClipModel.plan_id == plan_id,
-                    EditPlanClipModel.status == "pending",
-                    EditPlanClipModel.asset_id != "",
-                )
-                .all()
-            )
-            for m in pending_with_asset:
-                m.status = "ready"
-
-            # 4. 一次性提交
-            db.commit()
-            logger.info(
-                "事务性替换片段: plan_id=%s deleted=%d created=%d",
-                plan_id,
-                deleted_count,
-                len(clips_data),
-            )
-            return len(clips_data)
-        except Exception:
-            db.rollback()
-            logger.exception("事务性替换片段失败: plan_id=%s", plan_id)
-            raise
-
-    def reselect_plan_for_variant(
-        self,
-        source_plan_id: str,
-        candidate_asset_ids: list[str],
-        *,
-        created_by_user_id: str = "",
-        name_suffix: str = "变体",
-        voice_duration: float = 0.0,
-        rng=None,
-    ) -> EditPlan:
-        """为批量变体生成独立 plan：完整重跑单视频选片流程（#1743）。
-
-        与 clone_plan_for_variant（只重算起点、素材/顺序不变）不同，本方法：
-        - 源 plan 片段骨架（clip_type/order/duration/文案/转场）保留；
-        - 素材池 shuffle 随机分配 + main 片段顺序洗牌；
-        - 起点走场景镜头洗牌/随机起点/历史区间避让（与单视频同一入口）；
-        - 批次内同素材区间重叠 >20% 自动重选起点；
-        - 新片段区间 record_used_segments 写回素材 metadata（跨变体/跨任务避让）。
-
-        Args:
-            source_plan_id: 源 plan（任务 0 / 预览源）。
-            candidate_asset_ids: 素材池（源 plan 素材 ∪ 批次素材）。
-            created_by_user_id: 新 plan 归属用户。
-            name_suffix: plan 名后缀。
-            rng: 可选随机数（测试注入种子）。
-
-        Raises:
-            ValueError: 源 plan 不存在/无片段、素材池为空或时长全未知。
-        """
-        from packages.adapters.sqlalchemy_impl.models import AssetModel
-        from packages.domain.plan_generator_utils import extract_scene_points_from_metadata
-        from packages.domain.variant_plan_selector import reselect_clips_for_variant
-
-        source = self.get_plan_or_raise(source_plan_id)
-
-        # 分页读取源 plan 全部片段
-        clips: List[EditPlanClip] = []
-        skip, page = 0, 500
-        while True:
-            batch = self._clip_repo.list_by_plan(source_plan_id, skip=skip, limit=page)
-            if not batch:
-                break
-            clips.extend(batch)
-            if len(batch) < page:
-                break
-            skip += page
-        if not clips:
-            raise ValueError(f"源 plan 无片段，无法生成变体: {source_plan_id}")
-
-        source_clips_data: list[dict[str, Any]] = [
-            {
-                "order": c.order if c.order is not None else i,
-                "asset_id": c.asset_id,
-                "start_time": float(c.start_time or 0.0),
-                "duration": float(c.duration or 0.0),
-                "clip_type": c.clip_type,
-                "playback_speed": float(c.playback_speed or 1.0),
-                "transition_effect": c.transition_effect,
-                "transition_duration": float(c.transition_duration or 0.0),
-                "text_content": c.text_content or "",
-                "config": c.config or {},
-            }
-            for i, c in enumerate(clips)
-        ]
-
-        db = self._clip_repo.session
-
-        # #1749：配音时长 → 每段目标段长（片段数=模板片段数定死；素材不足由渲染末帧冻结铺满）
-        target_durations: list[float] | None = None
-        try:
-            voice = float(voice_duration or 0.0)
-        except (TypeError, ValueError):
-            voice = 0.0
-        if voice > 0 and source_clips_data:
-            from packages.domain.voice_duration_planner import plan_clip_durations
-
-            _effects: list[str | None] = [c.get("transition_effect") for c in source_clips_data]
-            _tdurs: list[float] = [float(c.get("transition_duration") or 0.0) for c in source_clips_data]
-            target_durations = plan_clip_durations(
-                len(source_clips_data),
-                voice,
-                transition_effects=_effects,
-                transition_durations=_tdurs,
-            )
-            if target_durations:
-                for _c, _d in zip(source_clips_data, target_durations, strict=False):
-                    _c["duration"] = _d
-
-        # 素材池 = 源 plan 素材 ∪ 调用方传入素材（去重保序）
-        pool_ids: list[str] = []
-        seen = set()
-        for aid in [c.asset_id for c in clips if c.asset_id] + list(candidate_asset_ids or []):
-            if aid and aid not in seen:
-                seen.add(aid)
-                pool_ids.append(aid)
-
-        # 时长 + 场景点
-        durations: dict[str, float] = {}
-        scene_points: dict[str, list[float]] = {}
-        if pool_ids:
-            for m in db.query(AssetModel).filter(AssetModel.id.in_(pool_ids)).all():
-                durations[m.id] = float(getattr(m, "duration", 0.0) or 0.0)
-                pts = extract_scene_points_from_metadata(getattr(m, "metadata", None))
-                if pts:
-                    scene_points[m.id] = pts
-
-        historical = get_used_segments(db, pool_ids)
-
-        # 创建新 plan（复制模板归属与 config）
-        new_plan = self.create_plan(
-            template_id=source.template_id,
-            name=f"{source.name or '剪辑计划'} · {name_suffix}",
-            config=dict(source.config or {}),
-            total_duration=source.total_duration,
-            project_id=source.project_id or "",
-            created_by_user_id=created_by_user_id or (source.created_by_user_id or ""),
-        )
-
-        # 批次内区间：以源 plan（变体 0）片段为初始避让对象
-        batch_segments: dict[str, list[tuple[float, float]]] = {}
-        for c in clips:
-            if c.asset_id and float(c.duration or 0) > 0:
-                st = float(c.start_time or 0.0)
-                batch_segments.setdefault(c.asset_id, []).append((st, st + float(c.duration)))
-
-        clips_data = reselect_clips_for_variant(
-            source_clips_data,
-            pool_ids,
-            asset_durations=durations,
-            asset_scene_points=scene_points,
-            historical_used_segments=historical,
-            batch_segments=batch_segments,
-            target_durations=target_durations,
-            rng=rng,
-        )
-
-        # 片段区间写回素材 metadata（与落库同事务；replace_all_clips_transactional 内 commit）
-        for item in clips_data:
-            aid = item.get("asset_id", "")
-            if aid:
-                st = float(item.get("start_time", 0.0))
-                record_used_segments(db, aid, st, st + float(item.get("duration", 0.0)), new_plan.id)
-
-        self.replace_all_clips_transactional(new_plan.id, clips_data)
-        logger.info(
-            "变体独立选片完成: source=%s new=%s clips=%d assets=%d",
-            source_plan_id,
-            new_plan.id,
-            len(clips_data),
-            len(pool_ids),
-        )
-        return new_plan
-
-    def clone_plan_for_variant(
-        self,
-        source_plan_id: str,
-        *,
-        created_by_user_id: str = "",
-        name_suffix: str = "变体",
-        reuse_tracker: Optional[dict] = None,
-    ) -> EditPlan:
-        """为批量/多预览场景克隆一份独立 plan，片段起点全部重算（受控随机/复用）。
-
-        复制源 plan 的模板归属、config 与片段结构（asset_id / duration / clip_type /
-        order 不变），每个片段重新调用 ``_calc_random_start_time``：读取素材持久化的
-        历史已用区间避让，耗尽时受控复用（use_count<3、最久未用），从而保证 N 条
-        成片片段区间互不相同，且复用占比受控。
-
-        - 不替换/不修改源 plan，源 plan 保留用户手动编辑结果。
-        - 片段区间记录（record_used_segments）随新片段写入素材 metadata，与新 plan
-          同事务；复用历史区间时由 record 自动累加 use_count。
-        - 克隆的 clips 复用区间累计时长写入 reuse_tracker（可选），供调用方统计占比。
-
-        Raises:
-            ValueError: 源 plan 不存在或无可用片段。
-        """
-        from packages.adapters.sqlalchemy_impl.models import AssetModel
-        from packages.domain.plan_generator_utils import _calc_random_start_time
-
-        source = self.get_plan_or_raise(source_plan_id)
-
-        # 分页读取源 plan 全部片段
-        clips: List[EditPlanClip] = []
-        skip, page = 0, 500
-        while True:
-            batch = self._clip_repo.list_by_plan(source_plan_id, skip=skip, limit=page)
-            if not batch:
-                break
-            clips.extend(batch)
-            if len(batch) < page:
-                break
-            skip += page
-        if not clips:
-            raise ValueError(f"源 plan 无片段，无法克隆变体: {source_plan_id}")
-
-        # 创建新 plan（复制模板归属与 config）
-        new_plan = self.create_plan(
-            template_id=source.template_id,
-            name=f"{source.name or '剪辑计划'} · {name_suffix}",
-            config=dict(source.config or {}),
-            total_duration=source.total_duration,
-            project_id=source.project_id or "",
-            created_by_user_id=created_by_user_id or (source.created_by_user_id or ""),
-        )
-
-        # 素材时长映射（O(N) 单查）
-        asset_ids = list({c.asset_id for c in clips if c.asset_id})
-        db = self._clip_repo.session
-        durations: dict[str, float] = {}
-        if asset_ids:
-            for m in db.query(AssetModel).filter(AssetModel.id.in_(asset_ids)).all():
-                durations[m.id] = float(getattr(m, "duration", 0.0) or 0.0)
-
-        used_segments = get_used_segments(db, asset_ids)
-        reused: dict[str, float] = reuse_tracker if reuse_tracker is not None else {}
-        asset_assigned: dict[str, float] = {}
-        # 回调内部预判复用后占比超 15% 则拒绝复用（calc 返回 None → 保留原起点）
-        reuse_cb = make_reuse_callback(db, durations, reused, assigned_tracker=asset_assigned)
-
-        clips_data: list[dict] = []
-        for i, c in enumerate(clips):
-            aid = c.asset_id
-            dur = float(c.duration or 0.0)
-            total = durations.get(aid, 0.0)
-            if aid and total > 0 and dur > 0:
-                # 复用占比闸门：本片段尚未分配，检查当前已复用占比
-                # reused / assigned 是否超 15%，超则该素材不再分配（保留原起点）；
-                # assigned=0（首个片段）放行，reused=0 时不误拦正常分配
-                assigned = asset_assigned.get(aid, 0.0)
-                eff_dur = min(dur, total)
-                reused_amt = reused.get(aid, 0.0)
-                ratio_blocked = assigned > 0 and reused_amt / assigned > REUSE_RATIO_LIMIT
-                start = None
-                if not ratio_blocked:
-                    start = _calc_random_start_time(aid, eff_dur, durations, used_segments, on_exhausted=reuse_cb)
-                if start is None:
-                    start = float(c.start_time or 0.0)
-                asset_assigned[aid] = assigned + eff_dur
-                used_segments.setdefault(aid, []).append((start, start + eff_dur))
-                record_used_segments(db, aid, start, start + eff_dur, new_plan.id)
-            else:
-                start = float(c.start_time or 0.0)
-
-            clips_data.append(
-                {
-                    "order": c.order if c.order is not None else i,
-                    "asset_id": aid,
-                    "start_time": start,
-                    "duration": dur,
-                    "clip_type": c.clip_type,
-                }
-            )
-
-        # 事务性写入新 plan 的片段（内部统一 commit/rollback）
-        self.replace_all_clips_transactional(new_plan.id, clips_data)
-        logger.info(
-            "克隆变体 plan: source=%s new=%s clips=%d",
-            source_plan_id,
-            new_plan.id,
-            len(clips_data),
-        )
-        return new_plan
-
-    # ── #1749 配音时长分配 / 素材时长查询 / 批量变体 plan 确保 ──────────────
-
-    def get_asset_durations(self, asset_ids: list[str]) -> dict[str, float]:
-        """批量查询素材时长（秒），O(N) 单查；缺失/异常返回 0.0。"""
-        from packages.adapters.sqlalchemy_impl.models import AssetModel
-
-        ids = [a for a in dict.fromkeys(asset_ids or []) if a]
-        if not ids:
-            return {}
-        db = self._clip_repo.session
-        out: dict[str, float] = {}
-        for m in db.query(AssetModel).filter(AssetModel.id.in_(ids)).all():
-            try:
-                out[m.id] = float(getattr(m, "duration", 0.0) or 0.0)
-            except (TypeError, ValueError):
-                out[m.id] = 0.0
-        return out
-
-    def apply_voice_duration_to_plan(self, plan_id: str, voice_duration: float) -> Optional[EditPlan]:
-        """把配音时长分配到 plan 的每段（#1749）。
-
-        - 片段数保持不变（= 模板片段数，定死）；
-        - 每段 duration 按 voice_duration_planner 分配（含转场重叠扣减）；
-        - 素材短于段长 → start_time 钳制为 0（末帧冻结由渲染侧 tpad/apad 铺满）；
-        - plan.total_duration 回写为成片净时长（≈ 配音时长）；
-        - 幂等：配音时长相同则分配结果不变，可重复调用。
-
-        无配音（<=0）或无片段时直接返回 None，不报错。
-        """
-        try:
-            voice = float(voice_duration or 0.0)
-        except (TypeError, ValueError):
-            return None
-        if voice <= 0:
-            return None
-
-        plan = self.get_plan(plan_id)
-        if plan is None:
-            return None
-
-        clips: List[EditPlanClip] = []
-        skip, page = 0, 500
-        while True:
-            batch = self._clip_repo.list_by_plan(plan_id, skip=skip, limit=page)
-            if not batch:
-                break
-            clips.extend(batch)
-            if len(batch) < page:
-                break
-            skip += page
-        if not clips:
-            return None
-
-        clips.sort(key=lambda c: (c.order if c.order is not None else 0))
-
-        from packages.domain.voice_duration_planner import plan_clip_durations, total_output_duration
-
-        # #1764：从 plan config 读取节奏模板
-        rhythm_template = None
-        if plan and hasattr(plan, "config") and plan.config:
-            rhythm_template = plan.config.get("rhythm_template")
-
-        # #1768：先获取素材时长，传入 plan_clip_durations 用于最大片段钳制
-        asset_ids = [c.asset_id for c in clips if c.asset_id]
-        durations = self.get_asset_durations(asset_ids)
-        asset_durations_for_plan = [durations.get(c.asset_id, 0.0) for c in clips]
-
-        target = plan_clip_durations(
-            len(clips),
-            voice,
-            transition_effects=[c.transition_effect for c in clips],
-            transition_durations=[float(c.transition_duration or 0.0) for c in clips],
-            rhythm_template=rhythm_template,
-            asset_durations=asset_durations_for_plan,
-        )
-        if not target:
-            return None
-
-        clips_data: list[dict] = []
-        for i, c in enumerate(clips):
-            dur = float(target[i])
-            total = durations.get(c.asset_id, 0.0)
-            start = float(c.start_time or 0.0)
-            if c.asset_id and total > 0:
-                # 素材短于段长：起点钳 0，段长超出部分渲染侧末帧冻结
-                max_start = max(0.0, total - min(dur, total))
-                start = min(start, max_start)
-            clips_data.append(
-                {
-                    "order": c.order if c.order is not None else i,
-                    "asset_id": c.asset_id or "",
-                    "start_time": round(start, 3),
-                    "duration": dur,
-                    "clip_type": c.clip_type,
-                    "playback_speed": float(c.playback_speed or 1.0),
-                    "transition_effect": c.transition_effect,
-                    "transition_duration": float(c.transition_duration or 0.0),
-                    "text_content": c.text_content or "",
-                    "config": c.config or {},
-                }
-            )
-
-        self.replace_all_clips_transactional(plan_id, clips_data)
-
-        net = total_output_duration(
-            target,
-            transition_effects=[c.transition_effect for c in clips],
-            transition_durations=[float(c.transition_duration or 0.0) for c in clips],
-        )
-        try:
-            plan.total_duration = net
-            db = self._clip_repo.session
-            db.commit()
-        except Exception:
-            db.rollback()
-            logger.exception("回写 plan.total_duration 失败（不阻断）: plan_id=%s", plan_id)
-
-        logger.info(
-            "配音时长分配完成: plan=%s clips=%d voice=%.2fs 成片净时长=%.2fs",
-            plan_id,
-            len(clips),
-            voice,
-            net,
-        )
-        return plan
-
-    def ensure_variant_plans(
-        self,
-        source_plan_id: str,
-        count: int,
-        candidate_asset_ids: list[str],
-        *,
-        created_by_user_id: str = "",
-        voice_durations: Optional[list[float]] = None,
-        rng=None,
-    ) -> list[str]:
-        """确保批量 N 个变体各自拥有独立 plan（#1749 批量正式生成/预览共用）。
-
-        - 变体 0：clone 源 plan（不污染源 plan，片段独立可改），并按配音分配段长；
-        - 变体 1..N-1：reselect_plan_for_variant 完整重跑选片（素材级去重）；
-        - voice_durations：每个变体的配音时长（独立配音各自时长；统一配音同值）；
-          缺省/为 0 时不分配（段长保持骨架/模板值）。
-
-        Returns:
-            plan_id 列表，长度 == count，index 即 variant_index。
-        """
-        import random as _random
-
-        rng = rng or _random.Random()
-        plan_ids: list[str] = []
-
-        # 变体 0：clone（片段结构同源 plan，起点重算），不污染源 plan
-        plan0 = self.clone_plan_for_variant(
-            source_plan_id,
-            created_by_user_id=created_by_user_id,
-            name_suffix="变体1",
-        )
-        v0_voice = 0.0
-        if voice_durations and len(voice_durations) > 0:
-            try:
-                v0_voice = float(voice_durations[0] or 0.0)
-            except (TypeError, ValueError):
-                v0_voice = 0.0
-        if v0_voice > 0:
-            try:
-                self.apply_voice_duration_to_plan(plan0.id, v0_voice)
-            except Exception:
-                logger.exception("变体0 配音分配失败（不阻断）: plan=%s", plan0.id)
-        plan_ids.append(plan0.id)
-
-        # 变体 1..N-1：独立选片
-        for i in range(1, count):
-            voice = 0.0
-            if voice_durations and i < len(voice_durations):
-                try:
-                    voice = float(voice_durations[i] or 0.0)
-                except (TypeError, ValueError):
-                    voice = 0.0
-            variant = self.reselect_plan_for_variant(
-                source_plan_id,
-                candidate_asset_ids,
-                created_by_user_id=created_by_user_id,
-                name_suffix=f"变体{i + 1}",
-                voice_duration=voice,
-                rng=rng,
-            )
-            plan_ids.append(variant.id)
-
-        # #1764：为每个变体生成独立节奏模板（让批量视频片段时长分布不同）
-        from packages.domain.voice_duration_planner import RHYTHM_TEMPLATES, adapt_template_length
-
-        clip_count = 0
-        if voice_durations and len(voice_durations) > 0:
-            # 从源 plan 获取片段数
-            source_plan = self.get_plan(source_plan_id)
-            if source_plan and hasattr(source_plan, "clips"):
-                clip_count = len(list(source_plan.clips)) if source_plan.clips else 0
-
-        rhythm_templates_for_variants = []
-        if clip_count > 0:
-            for idx in range(len(plan_ids)):
-                # 每个变体用不同的 seed 选择节奏模板
-                variant_seed = rng.randint(0, 999999)
-                template = adapt_template_length(RHYTHM_TEMPLATES[variant_seed % len(RHYTHM_TEMPLATES)], clip_count)
-                rhythm_templates_for_variants.append(template)
-                logger.info("变体 %d 节奏模板: plan=%s template=%s", idx, plan_ids[idx], template)
-
-        # #1767：BGM 池差异化分配（让批量变体使用不同 BGM / 段落 / 音量）
-        from packages.domain.bgm_pool import allocate_bgm_pool_for_variants
-
-        source_bgm_config = {}
-        source_plan = self.get_plan(source_plan_id)
-        if source_plan and source_plan.config:
-            source_bgm_config = source_plan.config.get("bgm", {}) or {}
-
-        variant_seeds_for_bgm = [rng.randint(0, 999999) for _ in plan_ids]
-        bgm_pool_assignments = allocate_bgm_pool_for_variants(source_bgm_config, variant_seeds_for_bgm)
-
-        # 为每个变体生成独立视觉扰动参数（让批量视频画面本身更不同）
-        from packages.domain.variant_plan_selector import generate_visual_perturbation
-
-        for idx, pid in enumerate(plan_ids):
-            try:
-                perturbation = generate_visual_perturbation(rng)
-                # 变体 0 不做 hflip（保持预览 plan 原始画面方向）
-                if idx == 0:
-                    perturbation["hflip"] = False
-                config_update = {"visual_perturbation": perturbation}
-                # #1764：写入节奏模板
-                if idx < len(rhythm_templates_for_variants):
-                    config_update["rhythm_template"] = rhythm_templates_for_variants[idx]
-                # #1765：写入像素级扰动滤镜
-                from packages.domain.variant_plan_selector import generate_pixel_perturbation
-
-                pixel_pert = generate_pixel_perturbation(rng)
-                config_update["pixel_perturbation"] = pixel_pert
-                # #1767：写入 BGM 池分配（覆盖 bgm 配置中的 preset_id / audio_offset / volume_adjust_db）
-                if idx < len(bgm_pool_assignments):
-                    existing_bgm = dict((source_plan.config or {}).get("bgm", {}) or {})
-                    existing_bgm.update(bgm_pool_assignments[idx])
-                    config_update["bgm"] = existing_bgm
-                self.update_plan_config(pid, config_update)
-                logger.info(
-                    "变体 %d 视觉扰动+像素扰动+BGM池: plan=%s vis=%s pix=%s bgm=%s",
-                    idx,
-                    pid,
-                    perturbation,
-                    pixel_pert,
-                    bgm_pool_assignments[idx] if idx < len(bgm_pool_assignments) else None,
-                )
-            except Exception:
-                logger.exception("变体 %d 视觉扰动生成失败（不阻断）: plan=%s", idx, pid)
-
-        # 标记所有变体 plan 的 clips 为 ready（已分配素材+起点，语义上就是 ready）
-        for pid in plan_ids:
-            try:
-                self.mark_clips_ready(pid)
-            except Exception:
-                logger.exception("标记 clips ready 失败（不阻断）: plan=%s", pid)
-
-        return plan_ids
-
    # ── 片段分割与合并 ──────────────────────────────────────────────────────

    def split_clip(self, clip_id: str, split_time: float) -> Dict[str, Any]:
@@ -1189,10 +571,6 @@ class EditPlanService:
    def can_generate(self, plan_id: str) -> tuple[bool, str]:
        """检查是否可以触发渲染

-        包含最后一道防线的自动修复：
-        - 如果 clips 存在但都没有 asset_id，且 config.asset_ids 非空，
-          直接在内部执行素材分配，不再依赖前置 fallback 链路。
-
        Returns:
            tuple: (can_generate, reason)
        """
@@ -1207,69 +585,10 @@ class EditPlanService:
        if not clips:
            return False, "请先添加片段后再生成视频"

-        # 检查是否至少有一个片段分配了素材
-        has_asset = any(c.asset_id for c in clips)
-        config_asset_ids_count = len((plan.config or {}).get("asset_ids", []))
-        clips_with_asset_count = sum(1 for c in clips if c.asset_id)
-        logger.info(
-            "can_generate 诊断: plan=%s status=%s total_clips=%d clips_with_asset=%d config_asset_ids_count=%d",
-            plan_id,
-            plan.status,
-            len(clips),
-            clips_with_asset_count,
-            config_asset_ids_count,
-        )
-        if not has_asset:
-            # ── 最后防线：自动从 config.asset_ids 分配素材 ──
-            config_asset_ids = (plan.config or {}).get("asset_ids", [])
-            if config_asset_ids:
-                logger.warning(
-                    "can_generate 最后防线触发: plan=%s clips=%d 均无素材，从 config.asset_ids(%d个) 自动分配",
-                    plan_id,
-                    len(clips),
-                    len(config_asset_ids),
-                )
-                clips_without_asset = [c for c in clips if not c.asset_id]
-                assigned_count = 0
-                for i, clip in enumerate(clips_without_asset):
-                    asset_idx = i % len(config_asset_ids)
-                    try:
-                        self.assign_asset(clip.id, config_asset_ids[asset_idx])
-                        assigned_count += 1
-                    except Exception as exc:
-                        logger.warning(
-                            "can_generate 最后防线: plan=%s clip=%s 分配素材 %s 失败: %s",
-                            plan_id,
-                            clip.id,
-                            config_asset_ids[asset_idx],
-                            exc,
-                        )
-                logger.info(
-                    "can_generate 最后防线: plan=%s 已为 %d/%d 个片段分配素材",
-                    plan_id,
-                    assigned_count,
-                    len(clips_without_asset),
-                )
-                # 重新加载 clips 验证分配结果
-                clips = self._clip_repo.list_by_plan(plan_id)
-                if not any(c.asset_id for c in clips):
-                    return False, "没有可渲染的就绪片段，自动修复后仍未分配素材"
-            else:
-                logger.warning(
-                    "can_generate 失败: plan=%s clips=%d 均无素材，且 config.asset_ids 为空，无法自动修复",
-                    plan_id,
-                    len(clips),
-                )
-                return False, "没有可渲染的就绪片段，请确保已选择素材"
-
        return True, ""

    def mark_clips_ready(self, plan_id: str) -> int:
-        """将已分配素材的 pending 片段标记为 ready
-
-        只标记同时满足以下条件的片段：
-        - status == PENDING
-        - asset_id 非空（已分配素材）
+        """将所有 pending 状态的片段标记为 ready

        Returns:
            int: 标记的片段数量
@@ -1280,16 +599,10 @@ class EditPlanService:
        )
        count = 0
        for clip in clips:
-            if clip.asset_id:
-                clip.mark_ready()
-                self._clip_repo.update(clip)
-                count += 1
-        logger.info(
-            "标记片段就绪: plan_id=%s marked=%d total_pending=%d",
-            plan_id,
-            count,
-            len(clips),
-        )
+            clip.mark_ready()
+            self._clip_repo.update(clip)
+            count += 1
+        logger.info("标记片段就绪: plan_id=%s count=%d", plan_id, count)
        return count

    def update_plan_config(self, plan_id: str, config_updates: Dict[str, Any]) -> EditPlan:
@@ -34,17 +34,6 @@ from packages.domain.template_clip_converter import (
 logger = logging.getLogger(__name__)


-class TemplateNotFoundError(Exception):
-    """模板不存在、已删除或当前用户无权访问.
-
-    与"模板存在但无片段配置"区分：路由层应映射为 HTTP 404。
-    """
-
-    def __init__(self, template_id: str) -> None:
-        self.template_id = template_id
-        super().__init__(f"模板不存在: {template_id}")
-
-
 class EditTemplateService:
    """模板管理服务

@@ -228,14 +217,7 @@ class EditTemplateService:
        skip: int = 0,
        limit: int = 100,
    ) -> List[TemplateClipConfig]:
-        """列出模板的片段配置
-
-        注意：本方法要求模板存在于新表 ``edit_templates``（全局模板库），
-        主要服务于新模板系统的写入/发布路径。用户自建模板存放在旧表
-        ``templates``，不在 ``edit_templates`` 中，读取其片段配置请改用
-        :meth:`list_clip_configs_for_editor`，后者直接读取片段配置主表
-        ``template_clip_configs``，不依赖新模板主表、也不靠异常降级。
-        """
+        """列出模板的片段配置"""
        # 确保模板存在
        self.get_template_or_raise(template_id)
        return self._clip_config_repo.list_by_template(
@@ -245,52 +227,6 @@ class EditTemplateService:
            limit=limit,
        )

-    def list_clip_configs_for_editor(
-        self,
-        template_id: str,
-        user_id: str,
-        *,
-        clip_type: Optional[ClipType] = None,
-        skip: int = 0,
-        limit: int = 100,
-    ) -> List[TemplateClipConfig]:
-        """编辑器读取模板片段配置的单一数据源入口.
-
-        片段配置主表是 ``template_clip_configs``（直接读取，不抛异常、不降级）。
-        模板主表按双表现状显式判定，不使用 try/except 控制流：
-
-        1. 用户自建模板在旧表 ``templates``（归属 user_id）→ 校验归属与未删除后直接读；
-        2. 全局模板在新表 ``edit_templates``（无 user_id，全局可读）→ 直接读；
-        3. 两者都没有 → 模板不存在/无权限，抛 :class:`TemplateNotFoundError`。
-
-        Args:
-            template_id: 模板 ID
-            user_id: 当前登录用户 ID（用于旧表模板归属校验）
-
-        Raises:
-            TemplateNotFoundError: 模板不存在、已删除或不归属于当前用户。
-        """
-        # 1) 用户自建模板（旧表 templates，归属 user_id）
-        if self._clip_config_repo.template_owned_by(template_id, user_id):
-            return self._clip_config_repo.list_by_template(
-                template_id,
-                clip_type=clip_type,
-                skip=skip,
-                limit=limit,
-            )
-
-        # 2) 全局模板（新表 edit_templates，无 user_id，全局可读）
-        if self._template_repo.get(template_id) is not None:
-            return self._clip_config_repo.list_by_template(
-                template_id,
-                clip_type=clip_type,
-                skip=skip,
-                limit=limit,
-            )
-
-        # 3) 两表都没有：不存在 / 已删除 / 无权限
-        raise TemplateNotFoundError(template_id)
-
    def get_clip_config(self, config_id: str) -> Optional[TemplateClipConfig]:
        """获取片段配置详情"""
        return self._clip_config_repo.get(config_id)
@@ -1,181 +0,0 @@
-"""对口型 Service — #1796 MediaKit 对口型业务逻辑.
-
-职责：
- 创建/查询/取消对口型任务
- 调用 MediaKit 客户端提交异步任务
- 轮询更新任务状态
- 用户隔离（每个用户只能操作自己的任务）
-"""
-
-from __future__ import annotations
-
-import logging
-import uuid
-from datetime import datetime, timezone
-from typing import Optional
-
-from app.services.mediakit_client import (
-    STATUS_COMPLETED,
-    STATUS_FAILED,
-    STATUS_RUNNING,
-    MediaKitClient,
-    MediaKitError,
-    get_mediakit_client,
-)
-from sqlalchemy.orm import Session
-
-from packages.adapters.sqlalchemy_impl.models import LipsyncJobModel
-
-logger = logging.getLogger(__name__)
-
-
-class LipsyncService:
-    """对口型任务 Service."""
-
-    def __init__(self, db: Session, client: Optional[MediaKitClient] = None):
-        self.db = db
-        self.client = client or get_mediakit_client()
-
-    # ── 创建任务 ──────────────────────────────────────────────────────────
-
-    def create_job(
-        self,
-        *,
-        user_id: str,
-        video_url: str,
-        audio_url: str,
-        enable_video_loop: bool = False,
-        project_id: str = "",
-    ) -> LipsyncJobModel:
-        """创建对口型任务并提交到 MediaKit.
-
-        Raises:
-            MediaKitError: API 调用失败
-        """
-        # 1. 创建数据库记录
-        job_id = str(uuid.uuid4())
-        job = LipsyncJobModel(
-            id=job_id,
-            user_id=user_id,
-            project_id=project_id,
-            video_url=video_url,
-            audio_url=audio_url,
-            enable_video_loop=enable_video_loop,
-            status="pending",
-        )
-        self.db.add(job)
-        self.db.flush()
-
-        # 2. 提交到 MediaKit
-        try:
-            result = self.client.submit_lipsync(
-                video_url=video_url,
-                audio_url=audio_url,
-                enable_video_loop=enable_video_loop,
-                client_token=job_id,  # 幂等控制
-            )
-            job.mediakit_task_id = result["task_id"]
-            job.status = "submitted"
-            job.submitted_at = datetime.now(timezone.utc)
-        except MediaKitError as exc:
-            job.status = "failed"
-            job.error_message = str(exc)
-            job.error_code = exc.code
-            logger.error("提交对口型任务失败: %s", exc)
-            raise
-
-        self.db.commit()
-        self.db.refresh(job)
-        return job
-
-    # ── 查询任务 ──────────────────────────────────────────────────────────
-
-    def get_job(self, job_id: str, user_id: str) -> Optional[LipsyncJobModel]:
-        """获取任务详情（用户隔离）."""
-        return (
-            self.db.query(LipsyncJobModel)
-            .filter(LipsyncJobModel.id == job_id, LipsyncJobModel.user_id == user_id)
-            .first()
-        )
-
-    def list_jobs(
-        self,
-        *,
-        user_id: str,
-        project_id: str = "",
-        status: str = "",
-        offset: int = 0,
-        limit: int = 20,
-    ) -> tuple[list[LipsyncJobModel], int]:
-        """获取任务列表（分页 + 用户隔离）."""
-        query = self.db.query(LipsyncJobModel).filter(LipsyncJobModel.user_id == user_id)
-        if project_id:
-            query = query.filter(LipsyncJobModel.project_id == project_id)
-        if status:
-            query = query.filter(LipsyncJobModel.status == status)
-
-        total = query.count()
-        items = query.order_by(LipsyncJobModel.created_at.desc()).offset(offset).limit(limit).all()
-        return items, total
-
-    # ── 更新任务状态（轮询） ──────────────────────────────────────────────
-
-    def refresh_job_status(self, job_id: str, user_id: str) -> Optional[LipsyncJobModel]:
-        """从 MediaKit 拉取最新状态并更新本地记录.
-
-        Returns:
-            更新后的 Job，或 None（任务不存在/不属于该用户）
-        """
-        job = self.get_job(job_id, user_id)
-        if job is None:
-            return None
-
-        # 终态不需要再轮询
-        if job.status in (STATUS_COMPLETED, "failed"):
-            return job
-
-        # 未提交的任务不轮询
-        if not job.mediakit_task_id:
-            return job
-
-        try:
-            status_data = self.client.get_task_status(job.mediakit_task_id)
-        except MediaKitError as exc:
-            logger.error("轮询对口型任务状态失败 [%s]: %s", job_id, exc)
-            return job
-
-        mk_status = status_data.get("status", STATUS_RUNNING)
-
-        if mk_status == STATUS_COMPLETED:
-            result = status_data.get("result", {})
-            job.status = STATUS_COMPLETED
-            job.output_video_url = result.get("video_url", "")
-            job.output_duration = result.get("duration", 0.0)
-            job.completed_at = datetime.now(timezone.utc)
-        elif mk_status == STATUS_FAILED:
-            error = status_data.get("error", {})
-            job.status = "failed"
-            job.error_message = error.get("message", "任务执行失败")
-            job.error_code = error.get("code", "TaskFailed")
-            job.completed_at = datetime.now(timezone.utc)
-        # running 状态只更新时间戳
-        job.updated_at = datetime.now(timezone.utc)
-        self.db.commit()
-        self.db.refresh(job)
-        return job
-
-    # ── 取消任务 ──────────────────────────────────────────────────────────
-
-    def cancel_job(self, job_id: str, user_id: str) -> Optional[LipsyncJobModel]:
-        """取消任务（仅 pending/submitted 状态可取消）."""
-        job = self.get_job(job_id, user_id)
-        if job is None:
-            return None
-
-        if job.status in ("pending", "submitted"):
-            job.status = "cancelled"
-            job.updated_at = datetime.now(timezone.utc)
-            self.db.commit()
-            self.db.refresh(job)
-
-        return job
@@ -1,243 +0,0 @@
-"""MediaKit 客户端 — 封装火山引擎 AI MediaKit 对口型 API.
-
-接口文档：https://docs.volcengine.com/docs/6448/2656064
-
-异步任务流程：
-1. POST /api/v1/tools/lip-sync  提交对口型任务 → 返回 task_id
-2. GET  /api/v1/tasks/{task_id} 轮询任务状态 → running/completed/failed
-3. completed 时 result.video_url 为口型对齐视频（临时链接 24h 有效）
-
-设计原则：
- API Key 从配置读取（settings.mediakit_api_key）
- 未配置 API Key 时所有方法返回降级响应，不阻塞主流程
- HTTP 超时/网络异常统一包装为 MediaKitError
-"""
-
-from __future__ import annotations
-
-import logging
-from typing import Any, Optional
-
-import httpx
-
-from packages.config import get_api_settings
-
-logger = logging.getLogger(__name__)
-
-# ── 任务状态常量 ──────────────────────────────────────────────────────────
-STATUS_RUNNING = "running"
-STATUS_COMPLETED = "completed"
-STATUS_FAILED = "failed"
-
-
-class MediaKitError(Exception):
-    """MediaKit API 调用异常."""
-
-    def __init__(self, message: str, code: str = "", request_id: str = ""):
-        self.code = code
-        self.request_id = request_id
-        super().__init__(message)
-
-
-class MediaKitClient:
-    """火山引擎 AI MediaKit 对口型 API 客户端.
-
-    用法：
-        client = get_mediakit_client()
-        result = client.submit_lipsync(video_url="...", audio_url="...")
-        task_id = result["task_id"]
-
-        status = client.get_task_status(task_id)
-        # {"status": "completed", "result": {"video_url": "...", "duration": 60.5}}
-    """
-
-    def __init__(self) -> None:
-        settings = get_api_settings()
-        self._api_key = settings.mediakit_api_key
-        self._base_url = settings.mediakit_base_url.rstrip("/")
-        self._timeout = settings.mediakit_timeout
-
-    @property
-    def is_available(self) -> bool:
-        """是否已配置 API Key（未配置时自动降级）."""
-        return bool(self._api_key)
-
-    def _headers(self) -> dict[str, str]:
-        return {
-            "Authorization": f"Bearer {self._api_key}",
-            "Content-Type": "application/json",
-        }
-
-    # ── 提交对口型任务 ────────────────────────────────────────────────────
-
-    def submit_lipsync(
-        self,
-        *,
-        video_url: str,
-        audio_url: str,
-        enable_video_loop: bool = False,
-        callback_url: Optional[str] = None,
-        callback_args: Optional[str] = None,
-        client_token: Optional[str] = None,
-    ) -> dict[str, Any]:
-        """提交视频口型对齐任务.
-
-        Args:
-            video_url: 人物视频 URL（MP4，≤30min，单人真人）
-            audio_url: 驱动音频 URL（mp3/aac/wav/m4a/flac）
-            enable_video_loop: 音频长于视频时是否循环画面
-            callback_url: 任务完成回调 URL
-            callback_args: 回调时原样返回的自定义参数
-            client_token: 幂等控制 token
-
-        Returns:
-            {"success": True, "task_id": "...", "request_id": "..."}
-
-        Raises:
-            MediaKitError: API 调用失败
-        """
-        if not self.is_available:
-            raise MediaKitError("MediaKit API Key 未配置", code="NotConfigured")
-
-        payload: dict[str, Any] = {
-            "video_url": video_url,
-            "audio_url": audio_url,
-        }
-        if enable_video_loop:
-            payload["enable_video_loop"] = True
-        if callback_url:
-            payload["callback_url"] = callback_url
-        if callback_args:
-            payload["callback_args"] = callback_args[:512]  # API 限制 512 字节
-        if client_token:
-            payload["client_token"] = client_token[:64]  # API 限制 64 字符
-
-        try:
-            with httpx.Client(timeout=self._timeout) as client:
-                resp = client.post(
-                    f"{self._base_url}/tools/lip-sync",
-                    headers=self._headers(),
-                    json=payload,
-                )
-                resp.raise_for_status()
-                data = resp.json()
-        except httpx.TimeoutException as exc:
-            raise MediaKitError(f"MediaKit API 超时 ({self._timeout}s)", code="Timeout") from exc
-        except httpx.HTTPStatusError as exc:
-            body = exc.response.text[:500]
-            raise MediaKitError(
-                f"MediaKit API HTTP {exc.response.status_code}: {body}",
-                code="HttpError",
-            ) from exc
-        except httpx.RequestError as exc:
-            raise MediaKitError(f"MediaKit API 网络错误: {exc}", code="NetworkError") from exc
-        except Exception as exc:
-            raise MediaKitError(f"MediaKit API 未知错误: {exc}", code="UnknownError") from exc
-
-        if not data.get("success"):
-            error = data.get("error", {})
-            raise MediaKitError(
-                error.get("message", "提交任务失败"),
-                code=error.get("code", "SubmitFailed"),
-                request_id=data.get("request_id", ""),
-            )
-
-        return {
-            "success": True,
-            "task_id": data["task_id"],
-            "request_id": data.get("request_id", ""),
-        }
-
-    # ── 查询任务状态 ──────────────────────────────────────────────────────
-
-    def get_task_status(self, task_id: str) -> dict[str, Any]:
-        """查询异步任务状态和结果.
-
-        Args:
-            task_id: 提交任务时返回的任务 ID
-
-        Returns:
-            {
-                "success": True,
-                "task_id": "...",
-                "status": "running" | "completed" | "failed",
-                "result": {"video_url": "...", "duration": 60.5} | None,
-                "error": {"code": "...", "message": "..."} | None,
-                "created_at": 1777291767,
-                "finished_at": 1777291851 | None,
-                "expires_at": 1777464650 | None,
-            }
-
-        Raises:
-            MediaKitError: API 调用失败
-        """
-        if not self.is_available:
-            raise MediaKitError("MediaKit API Key 未配置", code="NotConfigured")
-
-        try:
-            with httpx.Client(timeout=self._timeout) as client:
-                resp = client.get(
-                    f"{self._base_url}/tasks/{task_id}",
-                    headers=self._headers(),
-                )
-                resp.raise_for_status()
-                data = resp.json()
-        except httpx.TimeoutException as exc:
-            raise MediaKitError(f"MediaKit API 超时 ({self._timeout}s)", code="Timeout") from exc
-        except httpx.HTTPStatusError as exc:
-            body = exc.response.text[:500]
-            raise MediaKitError(
-                f"MediaKit API HTTP {exc.response.status_code}: {body}",
-                code="HttpError",
-            ) from exc
-        except httpx.RequestError as exc:
-            raise MediaKitError(f"MediaKit API 网络错误: {exc}", code="NetworkError") from exc
-        except Exception as exc:
-            raise MediaKitError(f"MediaKit API 未知错误: {exc}", code="UnknownError") from exc
-
-        if not data.get("success"):
-            error = data.get("error", {})
-            raise MediaKitError(
-                error.get("message", "查询任务失败"),
-                code=error.get("code", "QueryFailed"),
-                request_id=data.get("request_id", ""),
-            )
-
-        result: dict[str, Any] = {
-            "success": True,
-            "task_id": data.get("task_id", task_id),
-            "status": data.get("status", STATUS_RUNNING),
-            "result": data.get("result"),
-            "created_at": data.get("created_at"),
-            "finished_at": data.get("finished_at"),
-            "expires_at": data.get("expires_at"),
-        }
-
-        # 失败时提取错误信息
-        if data.get("status") == STATUS_FAILED:
-            error_obj = data.get("error", {})
-            result["error"] = {
-                "code": error_obj.get("code", "TaskFailed"),
-                "message": error_obj.get("message", "任务执行失败"),
-            }
-
-        return result
-
-
-# ── 单例 ──────────────────────────────────────────────────────────────────
-
-_client: Optional[MediaKitClient] = None
-
-
-def get_mediakit_client() -> MediaKitClient:
-    """获取 MediaKit 客户端单例."""
-    global _client
-    if _client is None:
-        _client = MediaKitClient()
-    return _client
-
-
-def reset_mediakit_client() -> None:
-    """重置客户端（测试用）."""
-    global _client
-    _client = None
@@ -13,7 +13,6 @@
 from __future__ import annotations

 import logging
-import random
 from typing import Any, List

 from sqlalchemy.orm import Session
@@ -30,11 +29,9 @@ from packages.domain.editing_mode import EditingMode
 from packages.domain.plan_generator_utils import (
    create_clips_from_configs,
    distribute_assets,
-    extract_scene_points_from_metadata,
    generate_default_clips,
    map_clip_types_for_mode,
 )
-from packages.domain.smart_match import SCORE_RANDOM_NOISE_MAX, score_asset
 from packages.domain.template_clip_config import TemplateClipConfig

 logger = logging.getLogger(__name__)
@@ -52,10 +49,9 @@ class PlanGeneratorService:
    基于模板 + 素材，自动生成 EditPlan 及 EditPlanClip 列表。
    """

-    def __init__(self, db: Session, asset_repo=None) -> None:
+    def __init__(self, db: Session) -> None:
        self._plan_repo = SQLAlchemyEditPlanRepository(db)
        self._clip_repo = SQLAlchemyEditPlanClipRepository(db)
-        self._asset_repo = asset_repo

    # ── 公开接口 ─────────────────────────────────────────────────────────────

@@ -68,7 +64,6 @@ class PlanGeneratorService:
        project_id: str = "",
        created_by_user_id: str = "",
        name: str = "",
-        random_preview: bool = False,
    ) -> dict[str, Any]:
        """基于模板+素材生成剪辑计划

@@ -79,7 +74,6 @@ class PlanGeneratorService:
            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）
-            random_preview: 是否启用随机预览模式（随机选素材+随机截取片段）

        Returns:
            dict: {"plan": EditPlan, "clips": List[EditPlanClip]}
@@ -121,18 +115,7 @@ class PlanGeneratorService:

        # 4. 按 editing_mode 分配素材
        if asset_ids:
-            # 获取素材时长信息，用于随机起始时间
-            asset_durations = None
-            if self._asset_repo:
-                asset_durations = self._fetch_asset_durations(asset_ids)
-            self._distribute_assets(
-                clips,
-                asset_ids,
-                editing_mode,
-                random_selection=random_preview,
-                asset_durations=asset_durations,
-                user_id=created_by_user_id,
-            )
+            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] = []
@@ -216,97 +199,9 @@ class PlanGeneratorService:
        clips: List[EditPlanClip],
        asset_ids: List[str],
        editing_mode: str,
-        *,
-        random_selection: bool = False,
-        asset_durations: dict[str, float] | None = None,
-        user_id: str = "",
    ) -> None:
        """按 editing_mode 将素材分配到 clips（就地修改，未持久化）.

-        先用 smart_match 评分对素材排序（高分优先），再委托给
-        plan_generator_utils.distribute_assets 纯函数完成分配。
+        委托给 plan_generator_utils.distribute_assets 纯函数。
        """
-        # 预览随机模式：素材顺序已 shuffle，纯随机起点即可，不读 DB 评分/缓存
-        asset_scene_points: dict[str, list[float]] = {}
-        if not random_selection:
-            # 正式生成：smart_match 评分排序（高分优先）+ 场景切换点缓存
-            if self._asset_repo:
-                asset_ids = self._sort_assets_by_smart_score(asset_ids)
-                # 读取素材 metadata 中的场景切换点缓存（后台 SceneChange 检测写入）：
-                # 有缓存的素材片段起点从随机镜头段选取，无缓存走随机起点兜底
-                asset_scene_points = self._fetch_asset_scene_points(asset_ids)
-
-                # 正式生成也随机重排片段顺序（降重，默认开启无开关）
-                # smart_match 决定选哪些素材，shuffle 只改变分配到 clips 的顺序
-                asset_ids = list(asset_ids)  # 复制避免修改调用方原列表
-                random.shuffle(asset_ids)
-
-        # 查询已有视频的已用区间（跨视频避让）
-        external_used_segments = None
-        if user_id and self._clip_repo:
-            try:
-                external_used_segments = self._clip_repo.list_used_segments_by_user(user_id, limit_recent=50)
-            except Exception:
-                logger.warning("跨视频避让查询失败，回退到纯随机", exc_info=True)
-
-        distribute_assets(
-            clips,
-            asset_ids,
-            editing_mode,
-            random_selection=random_selection,
-            asset_durations=asset_durations,
-            asset_scene_points=asset_scene_points,
-            external_used_segments=external_used_segments,
-        )
-
-    def _fetch_asset_scene_points(self, asset_ids: List[str]) -> dict[str, list[float]]:
-        """从素材 metadata 读取场景切换点缓存（无缓存的素材不包含在结果中）。"""
-        points_map: dict[str, list[float]] = {}
-        if not self._asset_repo:
-            return points_map
-        for asset_id in asset_ids:
-            asset = self._asset_repo.get(asset_id)
-            if asset:
-                points = extract_scene_points_from_metadata(getattr(asset, "metadata", None))
-                if points:
-                    points_map[asset_id] = points
-        return points_map
-
-    def _sort_assets_by_smart_score(self, asset_ids: List[str]) -> List[str]:
-        """按 smart_match 综合评分降序排列素材 ID（注入随机噪声）。
-
-        评分高的素材（质量好、时长合适、新鲜、使用次数少）倾向排在前面；
-        排序时给每个素材的得分注入 0~SCORE_RANDOM_NOISE_MAX 的随机噪声，
-        使得分接近的素材排名每次浮动，避免一键生成反复选出相同素材组合，
-        从素材组合层面降低成片查重率。分差大于噪声上限时排名保持稳定。
-        """
-        scored: list[tuple[str, float]] = []
-        for asset_id in asset_ids:
-            asset = self._asset_repo.get(asset_id)
-            if asset:
-                score, _ = score_asset(asset)
-                scored.append((asset_id, score))
-            else:
-                scored.append((asset_id, 0.0))
-        # 评分 + 随机噪声后按降序排列
-        scored.sort(
-            key=lambda x: x[1] + random.uniform(0.0, SCORE_RANDOM_NOISE_MAX),
-            reverse=True,
-        )
-        return [aid for aid, _ in scored]
-
-    def _fetch_asset_durations(self, asset_ids: List[str]) -> dict[str, float]:
-        """从数据库获取素材时长信息.
-
-        Args:
-            asset_ids: 素材 ID 列表
-
-        Returns:
-            dict: 素材 ID -> 时长（秒）映射
-        """
-        durations: dict[str, float] = {}
-        for asset_id in asset_ids:
-            asset = self._asset_repo.get(asset_id)
-            if asset and hasattr(asset, "duration"):
-                durations[asset_id] = float(asset.duration or 0.0)
-        return durations
+        distribute_assets(clips, asset_ids, editing_mode)
@@ -1,109 +0,0 @@
-"""ScriptService — Issue #1795 口播文案库 CRUD.
-
-纯 Service 层封装，routes 直接调用。
-"""
-
-from __future__ import annotations
-
-import uuid
-from datetime import datetime, timezone
-from typing import Optional
-
-from sqlalchemy.orm import Session
-
-from packages.adapters.sqlalchemy_impl.models import ScriptModel
-
-
-class ScriptNotFoundError(Exception):
-    """文案不存在或不属于当前用户."""
-
-
-class ScriptService:
-    """口播文案 CRUD."""
-
-    def __init__(self, db: Session) -> None:
-        self.db = db
-
-    # ── list ──────────────────────────────────────────────────────────────
-
-    def list_scripts(
-        self,
-        user_id: str,
-        skip: int = 0,
-        limit: int = 50,
-        tag: Optional[str] = None,
-    ) -> tuple[list[ScriptModel], int]:
-        """返回 (items, total)."""
-        q = self.db.query(ScriptModel).filter(ScriptModel.user_id == user_id)
-        if tag:
-            # JSON 数组包含查询
-            q = q.filter(ScriptModel.tags.contains([tag]))
-        total = q.count()
-        items = q.order_by(ScriptModel.created_at.desc()).offset(skip).limit(limit).all()
-        return items, total
-
-    # ── create ────────────────────────────────────────────────────────────
-
-    def create_script(
-        self,
-        user_id: str,
-        title: str,
-        content: str = "",
-        segments: list | None = None,
-        tags: list | None = None,
-    ) -> ScriptModel:
-        script = ScriptModel(
-            id=str(uuid.uuid4()),
-            user_id=user_id,
-            title=title,
-            content=content,
-            segments=segments if segments is not None else [],
-            tags=tags if tags is not None else [],
-        )
-        self.db.add(script)
-        self.db.commit()
-        self.db.refresh(script)
-        return script
-
-    # ── get ───────────────────────────────────────────────────────────────
-
-    def get_script(self, script_id: str, user_id: str) -> ScriptModel:
-        script = self.db.query(ScriptModel).filter(ScriptModel.id == script_id, ScriptModel.user_id == user_id).first()
-        if script is None:
-            raise ScriptNotFoundError(f"Script {script_id} not found")
-        return script
-
-    # ── update ────────────────────────────────────────────────────────────
-
-    def update_script(
-        self,
-        script_id: str,
-        user_id: str,
-        title: Optional[str] = None,
-        content: Optional[str] = None,
-        segments: Optional[list] = None,
-        tags: Optional[list] = None,
-    ) -> ScriptModel:
-        script = self.get_script(script_id, user_id)
-        if title is not None:
-            script.title = title
-        if content is not None:
-            script.content = content
-        if segments is not None:
-            script.segments = segments
-        if tags is not None:
-            script.tags = tags
-        script.updated_at = datetime.now(timezone.utc)
-        self.db.commit()
-        self.db.refresh(script)
-        return script
-
-    # ── delete ────────────────────────────────────────────────────────────
-
-    def delete_script(self, script_id: str, user_id: str) -> bool:
-        script = self.db.query(ScriptModel).filter(ScriptModel.id == script_id, ScriptModel.user_id == user_id).first()
-        if script is None:
-            return False
-        self.db.delete(script)
-        self.db.commit()
-        return True
@@ -0,0 +1,164 @@
+"""SmartAssetSelector — 智能素材选择服务.
+
+根据多维度评分从素材库中自动选择最优视频素材，
+用于一键生成等需要自动选取素材的场景。
+
+评分维度（加权求和，总分 0-1）：
+  - 质量分（quality_score）：权重 0.5 — 来自人工或AI的质量评分
+  - 分辨率适配：权重 0.2 — 分辨率越接近 1080p 得分越高
+  - 时长合理性：权重 0.2 — 3-30 秒区间最佳，过短/过长扣分
+  - 码率质量：权重 0.1 — 用文件大小/时长估算，码率适中得分高
+
+特性：
+  - 最低质量分门槛：自动过滤低质量素材
+  - 时长多样性：保证选出的素材时长分布均匀（短/中/长各占一定比例）
+  - 兼容全部模式：素材库模式和项目模式都可用
+
+纯逻辑部分已抽离到 packages.domain.asset_scoring。
+"""
+
+from __future__ import annotations
+
+import logging
+
+from packages.domain.asset_scoring import MEDIUM_BUCKET_MAX as _MEDIUM_BUCKET_MAX  # noqa: F401 - re-export for tests
+from packages.domain.asset_scoring import SHORT_BUCKET_MAX as _SHORT_BUCKET_MAX  # noqa: F401 - re-export for tests
+from packages.domain.asset_scoring import (
+    AssetScoreDetail,
+    SmartSelectResult,
+    diverse_selection,
+    filter_candidates,
+    score_asset_detail,
+)
+
+logger = logging.getLogger(__name__)
+
+
+class SmartAssetSelector:
+    """智能素材选择器.
+
+    从一组素材中按综合评分选择最优的 N 个，
+    同时保证时长分布的多样性。
+    """
+
+    def __init__(
+        self,
+        min_quality_score: float = 30.0,
+        target_width: int = 1920,
+        target_height: int = 1080,
+    ):
+        self.min_quality_score = min_quality_score
+        self.target_width = target_width
+        self.target_height = target_height
+
+    # ── 公开方法 ──────────────────────────────────────────────────────────────
+
+    def select(
+        self,
+        assets: list,
+        count: int = 0,
+        *,
+        ensure_diversity: bool = True,
+    ) -> SmartSelectResult:
+        """从素材列表中智能选择最优素材.
+
+        Args:
+            assets: Asset 实体列表（需要有 id/quality_score/width/height/duration/file_size 属性）
+            count: 选取数量，0 表示全部符合条件的
+            ensure_diversity: 是否保证时长多样性（默认开启）
+
+        Returns:
+            SmartSelectResult 选择结果
+        """
+        # 1. 过滤：只保留 ready 状态的视频素材 + 最低质量分门槛
+        candidates, filtered_out = filter_candidates(assets, self.min_quality_score)
+
+        if not candidates:
+            return SmartSelectResult(
+                selected_ids=[],
+                total_candidates=0,
+                filtered_out=filtered_out,
+                avg_score=0.0,
+                details=[],
+            )
+
+        # 2. 对每个候选素材评分
+        scored: list[AssetScoreDetail] = []
+        for asset in candidates:
+            detail = score_asset_detail(
+                asset_id=asset.id,
+                quality=getattr(asset, "quality_score", None),
+                width=getattr(asset, "width", None),
+                height=getattr(asset, "height", None),
+                duration=getattr(asset, "duration", None),
+                file_size=getattr(asset, "file_size", 0) or 0,
+                target_width=self.target_width,
+                target_height=self.target_height,
+            )
+            scored.append(detail)
+
+        # 3. 按总分降序排列
+        scored.sort(key=lambda d: d.total_score, reverse=True)
+
+        # 4. 多样性选择（如果需要且数量有限制）
+        if ensure_diversity and count > 0 and len(scored) > count:
+            selected = diverse_selection(scored, count)
+        else:
+            # 无数量限制或不要求多样性，直接按排名取
+            selected = scored if count <= 0 else scored[:count]
+
+        avg_score = sum(d.total_score for d in selected) / len(selected) if selected else 0.0
+
+        result = SmartSelectResult(
+            selected_ids=[d.asset_id for d in selected],
+            total_candidates=len(candidates),
+            filtered_out=filtered_out,
+            avg_score=avg_score,
+            details=selected,
+        )
+
+        logger.info(
+            "智能素材选择完成: 候选=%d, 过滤=%d, 选中=%d, 平均分=%.3f",
+            result.total_candidates,
+            result.filtered_out,
+            len(result.selected_ids),
+            result.avg_score,
+        )
+        return result
+
+    # ── 向后兼容：私有方法别名（委托给 asset_scoring 纯函数） ────────────────
+
+    def _score_asset(self, asset) -> AssetScoreDetail:
+        """对单个素材进行多维度评分（向后兼容）."""
+        return score_asset_detail(
+            asset_id=asset.id,
+            quality=getattr(asset, "quality_score", None),
+            width=getattr(asset, "width", None),
+            height=getattr(asset, "height", None),
+            duration=getattr(asset, "duration", None),
+            file_size=getattr(asset, "file_size", 0) or 0,
+            target_width=self.target_width,
+            target_height=self.target_height,
+        )
+
+    def _score_resolution(self, width: int | None, height: int | None) -> float:
+        """分辨率评分（向后兼容）."""
+        from packages.domain.asset_scoring import score_resolution
+
+        return score_resolution(width, height, self.target_width, self.target_height)
+
+    def _score_duration(self, duration: float | None) -> float:
+        """时长评分（向后兼容）."""
+        from packages.domain.asset_scoring import score_duration
+
+        return score_duration(duration)
+
+    def _score_bitrate(self, file_size: int, duration: float | None) -> float:
+        """码率评分（向后兼容）."""
+        from packages.domain.asset_scoring import score_bitrate
+
+        return score_bitrate(file_size, duration)
+
+    def _diverse_selection(self, scored: list[AssetScoreDetail], count: int) -> list[AssetScoreDetail]:
+        """多样性选择（向后兼容）."""
+        return diverse_selection(scored, count)
@@ -39,9 +39,6 @@ from packages.domain.video_filter_builder import (
 )
 from packages.domain.video_filter_builder import build_concat_filter as _build_concat_filter_func
 from packages.domain.video_filter_builder import build_filter_complex as _build_filter_complex
-from packages.domain.video_filter_builder import (
-    build_title_drawtext_filter,
-)
 from packages.domain.video_filter_builder import build_xfade_filter as _build_xfade_filter_func
 from packages.domain.video_filter_builder import chain_filters as _chain_filters_func
 from packages.domain.video_filter_builder import has_audio as _has_audio_func
@@ -251,27 +248,6 @@ class VideoComposeService:
            transitions=[c.transition_effect for c in ready_clips],
        )

-        # ── #1789 标题 drawtext 滤镜叠加 ──
-        # 从 plan.config 读取 title_config，生成 drawtext 滤镜链入 filter_complex
-        title_cfg = (plan.config or {}).get("title", {}) or {}
-        if not isinstance(title_cfg, dict):
-            title_cfg = {}
-        # 同时兼容 plan.config["title_config"]（API 回写路径）
-        if not title_cfg.get("text") and not title_cfg.get("content"):
-            title_cfg_alt = (plan.config or {}).get("title_config", {}) or {}
-            if isinstance(title_cfg_alt, dict) and (title_cfg_alt.get("text") or title_cfg_alt.get("content")):
-                title_cfg = title_cfg_alt
-        drawtext_filter = build_title_drawtext_filter(title_cfg, output_width, output_height)
-        if drawtext_filter:
-            # 将最终输出标签从 [outv] 改为 [composed]，再链入 drawtext → [outv]
-            filter_complex = filter_complex.replace("[outv]", "[composed]")
-            filter_complex += f";[composed]{drawtext_filter}[outv]"
-            logger.info(
-                "[#1789] 标题 drawtext 滤镜已注入: plan_id=%s text=%s",
-                plan_id,
-                (title_cfg.get("text") or title_cfg.get("content") or "")[:30],
-            )
-
        # 构建完整命令
        command: list[str] = ["ffmpeg", "-y"]

@@ -398,7 +374,7 @@ class VideoComposeService:
                EditPlanStatus.EDITING,
                EditPlanStatus.RENDERING,
            ),
-            "rendered_url": plan.config.get("rendered_storage_key", "") or plan.config.get("rendered_url", ""),
+            "rendered_url": plan.config.get("rendered_url", ""),
        }

    # ── 内部方法 ──────────────────────────────────────────────────────────
@@ -1 +0,0 @@
-"""Celery 异步任务模块."""
@@ -1,48 +0,0 @@
-"""AI数字人渲染 Celery 异步任务 — #1798."""
-
-from __future__ import annotations
-
-import logging
-
-from app.core.celery_app import celery_app
-from app.dependencies import get_db_session
-
-logger = logging.getLogger(__name__)
-
-
-@celery_app.task(bind=True, name="ai_avatar_render.execute", max_retries=2)
-def execute_ai_avatar_render(self, job_id: str) -> dict:
-    """执行 AI 数字人渲染管线.
-
-    进度更新:
-    - 0%: 任务开始
-    - 20%: 下载对口型视频完成
-    - 40%: 滤镜链构建完成
-    - 80%: FFmpeg 渲染完成
-    - 95%: 上传 OSS 完成
-    - 100%: 任务完成
-    """
-    logger.info("开始执行渲染任务: %s", job_id)
-    self.update_state(state="PROCESSING", meta={"progress": 0, "job_id": job_id})
-
-    try:
-        # 获取数据库 session
-        db_gen = get_db_session()
-        db = next(db_gen)
-        try:
-            from app.services.ai_avatar_render_service import AiAvatarRenderService
-
-            service = AiAvatarRenderService(db)
-            service.execute_render(job_id)
-        finally:
-            try:
-                next(db_gen)
-            except StopIteration:
-                pass
-
-        return {"status": "completed", "job_id": job_id}
-
-    except Exception as exc:
-        logger.exception("渲染任务执行异常 [%s]: %s", job_id, exc)
-        self.update_state(state="FAILED", meta={"progress": 0, "error": str(exc)})
-        raise
@@ -1,174 +0,0 @@
-#!/usr/bin/env python3
-"""存量指纹重建脚本 — 为已有视频生成 video_fingerprint_chunks 分片数据。
-
-功能：
- 查询 generated_videos 中 video_fingerprint IS NOT NULL 但尚无分片数据的视频
- 从 OSS 下载视频 → 用新的分片算法重新计算指纹 → 写入分片表
- 支持 --dry-run（只打印不写入）和 --batch-size（默认 50）
- 幂等：已存在分片数据的视频跳过
-
-用法：
-    # 预览（不写入）
-    python rebuild_fingerprint_chunks.py --dry-run
-
-    # 执行重建
-    python rebuild_fingerprint_chunks.py --batch-size 50
-"""
-
-from __future__ import annotations
-
-import argparse
-import logging
-import os
-import sys
-import tempfile
-
-# 确保可以 import worker_app 和 packages
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "..", "..", "worker"))
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "..", ".."))
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-)
-logger = logging.getLogger("rebuild_fingerprint_chunks")
-
-
-def find_videos_needing_rebuild(session, batch_size: int) -> list[dict]:
-    """查询需要重建分片指纹的视频。"""
-    from sqlalchemy import and_
-
-    from packages.adapters.sqlalchemy_impl.models import GeneratedVideoModel, VideoFingerprintChunkModel
-
-    # 有 video_fingerprint 的视频
-    has_fingerprint = GeneratedVideoModel.video_fingerprint.isnot(None)
-    has_fingerprint = and_(has_fingerprint, GeneratedVideoModel.video_fingerprint != "")
-
-    # 排除已有分片数据的视频
-    subq = session.query(VideoFingerprintChunkModel.video_id).distinct().subquery()
-    no_chunks = ~GeneratedVideoModel.id.in_(subq)
-
-    videos = (
-        session.query(GeneratedVideoModel)
-        .filter(and_(has_fingerprint, no_chunks))
-        .order_by(GeneratedVideoModel.generated_at.desc())
-        .limit(batch_size)
-        .all()
-    )
-
-    return [
-        {
-            "id": v.id,
-            "project_id": v.project_id,
-            "user_id": v.user_id or "",
-            "duration": v.duration,
-        }
-        for v in videos
-    ]
-
-
-def rebuild_one(video_info: dict, dry_run: bool = False) -> int:
-    """重建单个视频的分片数据。返回写入的 chunk 数量。"""
-    from video_processing.dedup import VideoDeduplicator, _save_fingerprint_chunks
-    from worker_app.db import SessionLocal
-
-    from packages.adapters.sqlalchemy_impl.models import VideoFingerprintChunkModel
-    from packages.shared.storage import get_storage_service
-
-    video_id = video_info["id"]
-    project_id = video_info["project_id"]
-    user_id = video_info["user_id"]
-
-    if dry_run:
-        logger.info("[DRY-RUN] Would rebuild video %s (project=%s)", video_id, project_id)
-        return 0
-
-    session = SessionLocal()
-    temp_dir = tempfile.mkdtemp()
-
-    try:
-        # 再次检查幂等性
-        existing_count = (
-            session.query(VideoFingerprintChunkModel).filter(VideoFingerprintChunkModel.video_id == video_id).count()
-        )
-        if existing_count > 0:
-            logger.info("Video %s already has %d chunks, skipping", video_id, existing_count)
-            return 0
-
-        # 下载视频
-        storage_service = get_storage_service()
-        local_path = os.path.join(temp_dir, f"{video_id}.mp4")
-        storage_key = f"projects/{project_id}/generated/{video_id}/{video_id}.mp4"
-        storage_service.download_file(storage_key, local_path)
-
-        # 重新计算指纹
-        deduplicator = VideoDeduplicator()
-        fingerprint = deduplicator.compute_fingerprint(local_path)
-
-        # 写入分片表
-        _save_fingerprint_chunks(fingerprint, video_id, project_id, user_id, session)
-        session.commit()
-
-        chunk_count = len(fingerprint.chunks)
-        logger.info("Rebuilt %d chunks for video %s", chunk_count, video_id)
-        return chunk_count
-
-    except Exception as e:
-        logger.error("Failed to rebuild video %s: %s", video_id, e)
-        session.rollback()
-        return -1
-    finally:
-        session.close()
-        import shutil
-
-        shutil.rmtree(temp_dir, ignore_errors=True)
-
-
-def main():
-    parser = argparse.ArgumentParser(description="存量指纹重建脚本")
-    parser.add_argument("--dry-run", action="store_true", help="只打印不写入")
-    parser.add_argument("--batch-size", type=int, default=50, help="每批处理数量（默认 50）")
-    parser.add_argument("--total-limit", type=int, default=0, help="总处理数量限制（0=不限制）")
-    args = parser.parse_args()
-
-    from worker_app.db import SessionLocal
-
-    session = SessionLocal()
-
-    try:
-        videos = find_videos_needing_rebuild(session, args.batch_size)
-        logger.info("Found %d videos needing rebuild", len(videos))
-
-        if args.dry_run:
-            for v in videos:
-                logger.info("[DRY-RUN] Video %s | project=%s | duration=%.1fs", v["id"], v["project_id"], v["duration"])
-            return
-
-        total_chunks = 0
-        processed = 0
-        failed = 0
-
-        for v in videos:
-            if args.total_limit > 0 and processed >= args.total_limit:
-                break
-
-            result = rebuild_one(v, dry_run=False)
-            if result < 0:
-                failed += 1
-            else:
-                total_chunks += result
-                processed += 1
-
-        logger.info(
-            "Rebuild complete: processed=%d, chunks=%d, failed=%d",
-            processed,
-            total_chunks,
-            failed,
-        )
-
-    finally:
-        session.close()
-
-
-if __name__ == "__main__":
-    main()
--- a/Show More
+++ b/Show More
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xiaoxia	aa36e7ae62	refactor(generate): 拆分useStep5Voice模式选择逻辑到子Hook（184→165行, -10%）	2026-07-28 16:06:04 +08:00
				`@@ -1 +0,0 @@`
				`CI re-trigger after runner add-host/DNS fix. This file is harmless and not referenced.`