Merge branch 'develop' into ci/cache-optimization-plus

ci: 前端npm安装增加国内镜像源，加重试间隔
- npm registry改为npmmirror.com国内镜像，加速下载减少失败 - 重试间隔从5s增加到10s，给网络恢复更多时间
2026-07-22 01:04:47 +08:00 · 2026-07-22 00:17:56 +08:00
1792 changed files with 64832 additions and 331140 deletions
@@ -1 +0,0 @@
-CI re-trigger after runner add-host/DNS fix. This file is harmless and not referenced.
@@ -1,2 +1,2 @@
 CI trigger file - safe to delete
-retrigger at 2026-09-15 20:31:24 UTC
+updated!
@@ -1,268 +1,60 @@
-# ============================================================
-# 小虾 SaaS 环境变量完整配置
-# ============================================================
-# 本文件列出所有可配置的环境变量及默认值。
-# 复制为 .env 后按需修改；生产环境务必覆盖所有密钥类配置。
-#
-# 配置读取规则（pydantic-settings，大小写不敏感）：
-#   1. 系统环境变量（最高优先级）
-#   2. .env.{APP_ENV} 文件（如 .env.staging）
-#   3. .env 文件
-#   4. 代码中的默认值（最低优先级）
-# ============================================================
+# 小虾 SaaS 环境变量配置

-
-# ==================== 应用基本配置 ====================
-
-# 应用名称
-APP_NAME=xiaoxia-saas
-
-# 应用版本号（展示用，代码中已内置默认）
-APP_VERSION=0.1.61
-
-# 环境标识：development / staging / production
-# 决定读取 .env.{APP_ENV} 还是 .env，也影响部分配置的严格校验
+# ==================== 应用配置 ====================
+APP_NAME=小虾 SaaS
+APP_BASE_URL=http://localhost:3000
 APP_ENV=development

-# 是否开启 Debug 模式（开发环境 true，生产环境 false）
-DEBUG=true
-
-# 应用基础 URL，用于生成认证邮件、回调链接等
-APP_BASE_URL=http://localhost:3000
-
-# API 服务监听地址（容器内绑定，外部暴露由 Docker/Nginx 控制）
-API_HOST=0.0.0.0
-
-# API 服务监听端口
-API_PORT=8000
-
-# 是否自动创建数据库表结构（开发环境可开启，生产环境用 alembic migration）
-AUTO_CREATE_SCHEMA=false
-
-
 # ==================== 数据库配置 ====================
+DATABASE_URL=postgresql://xiaoxia_user:your_password@localhost:5432/xiaoxia_saas

-# 数据库连接串（格式：postgresql+psycopg://user:password@host:port/dbname）
-DATABASE_URL=postgresql+psycopg://postgres:postgres@localhost:5432/xiaoxia_saas
-
-# 连接池大小（常驻连接数）
-DATABASE_POOL_SIZE=20
-
-# 连接池最大溢出连接数（pool_size + max_overflow = 最大并发连接数）
-DATABASE_MAX_OVERFLOW=10
-
-# 获取连接超时时间（秒）
-DATABASE_POOL_TIMEOUT=30
-
-# 连接回收时间（秒），防止数据库端主动断开导致的死连接
-DATABASE_POOL_RECYCLE=3600
-
-# 是否使用内存数据库（SQLite，仅开发/测试可用；生产务必 false）
-USE_IN_MEMORY_DB=false
+# 开发环境：使用内存数据库（不需要 PostgreSQL）
+USE_IN_MEMORY_DB=true

+# 生产环境：使用 PostgreSQL
+# USE_IN_MEMORY_DB=false

 # ==================== Redis 配置 ====================
-
-# Redis 连接 URL（格式：redis://[:password@]host:port/db）
 REDIS_URL=redis://localhost:6379/0

-# 是否使用 Redis 存储 Session（多实例部署时必须开启；开发可用内存存储）
-ENABLE_REDIS_SESSIONS=false
-
-
-# ==================== Celery 任务队列 ====================
-
-# Celery Broker（任务分发），默认用 Redis db0
-CELERY_BROKER_URL=redis://localhost:6379/0
-
-# Celery Result Backend（任务结果存储），默认用 Redis db1
-CELERY_RESULT_BACKEND=redis://localhost:6379/1
-
-
-# ==================== Worker 配置（#2073 队列分流） ====================
-#
-# 容器内跑三个独立进程：beat（只发定时任务）+ generation worker（实时高优）
-# + transcode worker（后台批量/清理）。三个进程的并发与开关独立配置。
-
-# Worker 进程名称
-WORKER_NAME=xiaoxia-saas-worker
-
-# 总并发参考（兼容旧变量）：
-# - 若 GENERATION_CONCURRENCY 与 TRANSCODE_CONCURRENCY 都未显式设置，
-#   entrypoint 会按此总数对半分配（gen=ceil(total/2), trans=剩余，各至少 1）；
-# - 任一个 *_CONCURRENCY 显式设置后，按显式值生效，忽略此变量对应部分。
-WORKER_CONCURRENCY=4
-
-# Generation worker 并发数（用户实时任务：视频生成/TTS/音色克隆/lipsync/数字人）
-# 实时链路对延迟敏感，建议 2C 以上机器设为 2；高负载场景可加到 4。
-GENERATION_CONCURRENCY=2
-
-# Transcode worker 并发数（后台批量：素材入库转码/AI 分类打标/质量评分/查重/批量下载）
-# 后台任务可排队，独立伸缩；素材入库量大时可加到 4。
-TRANSCODE_CONCURRENCY=2
-
-# 是否在本容器启动 celery beat 进程（默认 1）。
-# 默认 beat 与 worker 同容器部署；若要独立 beat 容器部署，worker 容器设为 0、
-# beat 容器单独跑 `celery -A worker_app.celery_app beat` 并设 BEAT_ENABLED=1。
-BEAT_ENABLED=1
-
-# 每个子进程最多处理多少任务后重启（防止内存泄漏）
-WORKER_MAX_TASKS_PER_CHILD=1000
-
-
-# ==================== JWT 认证配置 ====================
-
-# JWT 签名密钥 — 生产环境必须设置为强随机字符串（至少32字符）
-# 内置不安全值会被拒绝：secret / changeme / password / your-secret-key 等
+# ==================== JWT 配置 ====================
 JWT_SECRET_KEY=your-super-secret-key-change-this-in-production-min-32-chars
-
-# JWT 签名算法
 JWT_ALGORITHM=HS256
-
-# Access Token 过期时间（分钟）
 JWT_ACCESS_TOKEN_EXPIRE_MINUTES=30
-
-# Refresh Token 过期时间（天）
 JWT_REFRESH_TOKEN_EXPIRE_DAYS=30

-
 # ==================== 邮件配置 ====================
-
-# 是否启用邮件投递（关闭时邮件内容打印到日志，开发调试用）
-ENABLE_EMAIL_DELIVERY=false
-
-# SMTP 服务器地址
 SMTP_HOST=smtp.gmail.com
-
-# SMTP 端口
 SMTP_PORT=587
-
-# SMTP 用户名
 SMTP_USER=your-email@gmail.com
-
-# SMTP 密码 / 应用专用密码
 SMTP_PASSWORD=your-app-specific-password
-
-# 发件人邮箱
 SMTP_FROM_EMAIL=noreply@xiaoxia-saas.com
-
-# 发件人显示名称
 SMTP_FROM_NAME=小虾 SaaS

-# 是否启用 TLS
-SMTP_USE_TLS=true
-
-
-# ==================== 阿里云 OSS 配置 ====================
-
-# OSS 区域 endpoint
-OSS_ENDPOINT=oss-cn-hangzhou.aliyuncs.com
-
-# OSS Access Key ID — 非开发环境必须设置
-OSS_ACCESS_KEY_ID=your-access-key-id
-
-# OSS Access Key Secret — 非开发环境必须设置
-OSS_ACCESS_KEY_SECRET=your-access-key-secret
-
-# OSS Bucket 名称
-OSS_BUCKET_NAME=xiaoxia-autocut
-
-# 直传最大文件大小（MB）
-OSS_DIRECT_UPLOAD_MAX_MB=2000
-
-# 直传签名有效期（秒）
-OSS_DIRECT_UPLOAD_EXPIRE_SECONDS=900
-
+# ==================== 环境配置 ====================
+ENVIRONMENT=development
+DEBUG=true

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

-# 允许跨域的前端域名列表，逗号分隔
-CORS_ORIGINS_RAW=http://localhost:3000,http://localhost:5173,http://localhost:8000
-
-
-# ==================== 渲染引擎配置 ====================
-
-# 渲染引擎选择：
-#   legacy   — 旧 VideoComposeService（稳定，功能完整）
-#   unified  — 新 UnifiedRenderService（新架构，部分场景仍在验证）
-RENDER_ENGINE=legacy
-
-
-# ==================== CosyVoice 语音合成 ====================
-# 阿里云百灵语音合成服务
-# 模型选择：
-#   cosyvoice-v3-flash  — 推荐，系统音色多，性价比高
-#   cosyvoice-v3-plus   — 高质量，系统音色少
-#   cosyvoice-v3.5-flash / cosyvoice-v3.5-plus — 仅支持克隆/设计音色，无系统音色
-# 音色：v3 系列系统音色带 _v3 后缀，如 longxiaochun_v3 / longxiaoxia_v3 / longanyang
+# ==================== 阿里云 OSS 配置 ====================
+OSS_ENDPOINT=oss-cn-hangzhou.aliyuncs.com
+OSS_ACCESS_KEY_ID=your-access-key-id
+OSS_ACCESS_KEY_SECRET=your-access-key-secret
+OSS_BUCKET_NAME=xiaoxia-autocut

+# ==================== CosyVoice 语音合成配置 ====================
+# 注意：base_url 只需写到 /api/v1，具体路径由代码拼接
+# 模型: cosyvoice-v3-flash (推荐，支持系统音色，性价比高)
+#       cosyvoice-v3-plus (高质量，系统音色少)
+#       cosyvoice-v3.5-flash / cosyvoice-v3.5-plus (仅支持克隆/设计音色，无系统音色)
+# 音色: v3系列系统音色带 _v3 后缀，如 longxiaochun_v3, longxiaoxia_v3, longanyang (无后缀)
+# 注意：COSYVOICE_* 变量由 packages/shared/config.py 的 SharedSettings 读取
 COSYVOICE_API_KEY=your-cosyvoice-api-key
 COSYVOICE_BASE_URL=https://dashscope.aliyuncs.com/api/v1
 COSYVOICE_MODEL=cosyvoice-v3-flash
 COSYVOICE_VOICE=longxiaochun_v3
 COSYVOICE_SAMPLE_RATE=22050
 COSYVOICE_FORMAT=mp3
-
-# 音色克隆模型名（固定为 voice-enrollment，通常不需修改）
-COSYVOICE_CLONE_MODEL=voice-enrollment
-
-
-# ==================== 豆包大模型（火山引擎方舟） ====================
-# 用于 AI 文案生成、智能剪辑等需要大模型能力的场景
-
-DOUBAO_API_KEY=your-doubao-api-key
-DOUBAO_MODEL=doubao-seed-2-1-pro-260915
-DOUBAO_FAST_MODEL=doubao-seed-2-1-lite-260915
-DOUBAO_BASE_URL=https://ark.cn-beijing.volces.com/api/v3
-DOUBAO_TIMEOUT=30
-DOUBAO_MAX_RETRIES=2
-# 视觉模型：pro 精度高，lite 速度快（viral-video 商品识别默认用 lite 提速）
-DOUBAO_VISION_MODEL=doubao-seed-2-1-pro-260915
-DOUBAO_VISION_LITE_MODEL=doubao-seed-2-1-lite-260915
-DOUBAO_VISION_USE_LITE=true
-# Embedding 向量化模型
-DOUBAO_EMBEDDING_MODEL=doubao-embedding-vision-251215
-# 视频模型（Seedance 2.5，统一走方舟；真人参考图通过信任链自动 AI 化）
-DOUBAO_VIDEO_MODEL=doubao-seedance-2-5-260628
-DOUBAO_VIDEO_TIMEOUT=480
-DOUBAO_VIDEO_POLL_INTERVAL=10
-# 图片模型（Seedream 5.0 Pro，用于信任链真人 AI 化 + 文生图）
-DOUBAO_IMAGE_MODEL=doubao-seedream-5-0-pro-260628
-DOUBAO_IMAGE_TIMEOUT=120
-
-# ==================== 积分/会员系统 (#1895) ====================
-# 积分系统总开关：默认 false（暂停积分系统）。
-# - false：生成视频/口型同步/数字人/AI标题/TTS/克隆音色等所有功能对登录
-#   用户免费放行，不扣积分、不做余额拦截；积分余额/流水/会员状态查询接口
-#   保留可用，但数据不再变动。积分相关的表、代码、接口均保留不删除。
-# - 恢复积分：设置 ENABLE_CREDIT_SYSTEM=true 即可，无需改代码。
-ENABLE_CREDIT_SYSTEM=false
-# 旧开关名（兼容别名）：与 ENABLE_CREDIT_SYSTEM 任一为 true 即启用。
-POINTS_ENABLED=false
-
-# ==================== 抖音解析多源轮询 (#1963) ====================
-# 无需配置 Key 也可使用（P0 免费源可用），配置 Key 可增加兜底能力
-
-# TikHub API Key (https://tikhub.io) — $0.001/次起，注册送$0.05
-TIKHUB_API_KEY=
-
-# apizero.cn API Key (https://v1.apizero.cn) — 国内抖音解析服务
-APIZERO_API_KEY=
-
-# ==================== GPU MuseTalk Worker（反向轮询口型同步）====================
-# GPU Worker 长期鉴权 Token，Worker 端 .env 的 GPU_WORKER_TOKEN 必须与此一致
-# 留空时 development 环境允许匿名访问（仅本地调试），staging/production 必须配置
-GPU_WORKER_TOKEN=
-# 单任务超时（秒），processing 超过此时长无任务心跳才回退 pending 或标记 failed
-# #1970：RTX2060 6G 推理 720p 长视频需 5 分钟以上，默认 900
-GPU_TASK_TIMEOUT_SECONDS=900
-# 是否启用 GPU 口型同步（开关）。开启后需同时有 Worker 在心跳窗口内（5分钟）才会走 GPU 路径；
-# 开关关闭 / 无可用 Worker / GPU 任务失败或超时 → 自动回退现有 MediaKit 云端 lipsync
-USE_GPU_LIPSYNC=false
-# 业务侧轮询 GPU 任务结果的间隔（秒）
-GPU_LIPSYNC_POLL_INTERVAL=5
-# 业务侧等待 GPU 任务总超时（秒）；超时回退 MediaKit
-GPU_LIPSYNC_WAIT_TIMEOUT=1200
-# Worker 心跳新鲜度窗口（秒），last_heartbeat_at 在此窗口内视为在线
-GPU_WORKER_STALE_SECONDS=300
-
@@ -1,161 +0,0 @@
-name: ACR Cleanup
-
-on:
-  schedule:
-    - cron: '0 19 * * *'  # UTC 19:00 = 北京时间凌晨3:00
-  workflow_dispatch:
-    inputs:
-      pr_sha:
-        description: "PR commit SHA（仅清理指定PR镜像，留空则全量清理）"
-        required: false
-        default: ""
-      dry_run:
-        description: "预览模式（dry-run），不实际删除"
-        required: false
-        default: "true"
-  pull_request_target:
-    types: [closed]
-    branches: [develop, main]
-
-concurrency:
-  group: acr-cleanup-${{ gitea.ref }}
-  cancel-in-progress: false
-
-jobs:
-  cleanup:
-    name: ACR Image Cleanup
-    runs-on: ci-l2
-    timeout-minutes: 20
-    permissions:
-      contents: read
-    env:
-      ACR_REGISTRY: xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com
-      ACR_NAMESPACE: xiaoxiakeji
-      ACR_SERVICE: registry.aliyuncs.com:cn-hangzhou:china:cri-fvec8o9q4mmxrkaa
-      GITEA_URL: https://git.xiaoxiajianji.com
-      GITEA_REPO: xiaoxia/xiaoxia-saas
-    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
-
-      # ====== Cron模式：获取staging运行中镜像作为白名单 ======
-      - name: Get staging running images (whitelist)
-        id: protected_images
-        if: gitea.event_name != 'pull_request_target' && !gitea.event.inputs.pr_sha
-        env:
-          STAGING_SSH_KEY: ${{ secrets.PREVIEW_SSH_KEY }}
-        run: |
-          set +e
-          echo "获取staging服务器运行中镜像作为白名单..."
-          mkdir -p ~/.ssh
-          echo "$STAGING_SSH_KEY" > ~/.ssh/id_rsa
-          chmod 600 ~/.ssh/id_rsa
-
-          staging_host="${STAGING_SSH_HOST:-47.98.113.167}"
-          staging_port="${STAGING_SSH_PORT:-22222}"
-
-          ssh-keyscan -p "$staging_port" -H "$staging_host" >> ~/.ssh/known_hosts 2>/dev/null
-
-          # 获取所有运行容器的镜像，提取tag部分
-          IMAGES=$(ssh -p "$staging_port" -i ~/.ssh/id_rsa -o StrictHostKeyChecking=no \
-            "root@$staging_host" "docker ps --format '{{.Image}}' 2>/dev/null" 2>/dev/null | grep -v "^$" | sort -u)
-
-          PROTECTED_TAGS=""
-          if [ -n "$IMAGES" ]; then
-            while IFS= read -r img; do
-              # 从完整镜像名中提取tag（最后一个冒号后）
-              tag=$(echo "$img" | rev | cut -d: -f1 | rev)
-              if [ -n "$tag" ] && [ "$tag" != "latest" ] && [ ${#tag} -gt 5 ]; then
-                if [ -z "$PROTECTED_TAGS" ]; then
-                  PROTECTED_TAGS="$tag"
-                else
-                  PROTECTED_TAGS="$PROTECTED_TAGS,$tag"
-                fi
-              fi
-            done <<< "$IMAGES"
-          fi
-
-          echo "staging运行中镜像tag: ${PROTECTED_TAGS:-（无）}"
-          echo "protected_tags=$PROTECTED_TAGS" >> $GITEA_OUTPUT
-
-      # ====== Docker登录 ======
-      - name: Docker login to ACR
-        env:
-          ACR_USERNAME: ${{ secrets.ACR_USERNAME }}
-          ACR_PASSWORD: ${{ secrets.ACR_PASSWORD }}
-        run: |
-          printf '%s' "$ACR_PASSWORD" | docker login "$ACR_REGISTRY" -u "$ACR_USERNAME" --password-stdin
-
-      # ====== 模式1：PR关闭时清理 ======
-      - name: Cleanup PR images (PR closed)
-        if: gitea.event_name == 'pull_request_target'
-        env:
-          ACR_USERNAME: ${{ secrets.ACR_USERNAME }}
-          ACR_PASSWORD: ${{ secrets.ACR_PASSWORD }}
-          GITEA_TOKEN: ${{ secrets.GITEA_TOKEN }}
-          PR_SHA: ${{ gitea.event.pull_request.head.sha }}
-          PR_NUMBER: ${{ gitea.event.pull_request.number }}
-        run: |
-          echo "============================================"
-          echo "  PR #$PR_NUMBER 已关闭，清理对应镜像"
-          echo "  Head SHA: ${PR_SHA::12}"
-          echo "============================================"
-          echo ""
-          python3 scripts/ci/acr_cleanup.py \
-            --pr-sha "$PR_SHA" \
-            --execute
-
-      # ====== 模式2：Cron全量清理 ======
-      - name: Full cleanup (cron / manual)
-        if: gitea.event_name != 'pull_request_target' && !gitea.event.inputs.pr_sha
-        env:
-          ACR_USERNAME: ${{ secrets.ACR_USERNAME }}
-          ACR_PASSWORD: ${{ secrets.ACR_PASSWORD }}
-          GITEA_TOKEN: ${{ secrets.GITEA_TOKEN }}
-          PROTECTED_TAGS: ${{ steps.protected_images.outputs.protected_tags }}
-          DRY_RUN_INPUT: ${{ gitea.event.inputs.dry_run }}
-        run: |
-          echo "============================================"
-          echo "  ACR 全量清理（${{ gitea.event_name }}）"
-          echo "============================================"
-          echo ""
-
-          # 决定是否dry-run
-          DRY_RUN_FLAG=""
-          if [ "$DRY_RUN_INPUT" = "true" ]; then
-            DRY_RUN_FLAG="--dry-run"
-            echo "模式: 预览模式 (dry-run)"
-          else
-            echo "模式: 执行模式"
-          fi
-          echo ""
-
-          python3 scripts/ci/acr_cleanup.py \
-            --keep 20 \
-            --protected-tags "$PROTECTED_TAGS" \
-            $DRY_RUN_FLAG
-
-      # ====== 模式3：手动指定PR SHA清理 ======
-      - name: Cleanup specific PR image (manual)
-        if: gitea.event_name == 'workflow_dispatch' && gitea.event.inputs.pr_sha
-        env:
-          ACR_USERNAME: ${{ secrets.ACR_USERNAME }}
-          ACR_PASSWORD: ${{ secrets.ACR_PASSWORD }}
-          PR_SHA: ${{ gitea.event.inputs.pr_sha }}
-          DRY_RUN_INPUT: ${{ gitea.event.inputs.dry_run }}
-        run: |
-          echo "手动清理PR镜像: ${PR_SHA::12}"
-          echo ""
-
-          DRY_RUN_FLAG=""
-          if [ "$DRY_RUN_INPUT" = "true" ]; then
-            DRY_RUN_FLAG="--dry-run"
-          fi
-
-          python3 scripts/ci/acr_cleanup.py \
-            --pr-sha "$PR_SHA" \
-            $DRY_RUN_FLAG
@@ -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
@@ -1,78 +0,0 @@
-name: CI Failure Monitor
-
-on:
-  schedule:
-    - cron: '0 */6 * * *'  # 每6小时检查一次
-  workflow_dispatch:
-    inputs:
-      days:
-        description: '统计最近N天的失败'
-        required: false
-        default: '7'
-      fail_threshold:
-        description: '失败次数阈值'
-        required: false
-        default: '3'
-      fail_rate_threshold:
-        description: '失败率阈值(%)'
-        required: false
-        default: '30'
-
-permissions:
-  contents: read
-
-jobs:
-  monitor:
-    name: CI重复失败检测
-    runs-on: ci-l2
-    timeout-minutes: 10
-
-    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: Record job start time
-      shell: sh
-      run: bash scripts/ci/step_timer_start.sh
-
-    - name: Run failure detection
-      shell: sh
-      env:
-        GITEA_API_TOKEN: ${{ secrets.REVIEW_GITEA_TOKEN }}
-        GITEA_URL: https://git.xiaoxiajianji.com
-        GITEA_REPO: xiaoxia/xiaoxia-saas
-        CI_NOTIFY_WEBHOOK: ${{ secrets.CI_NOTIFY_WEBHOOK }}
-        FAIL_CHECK_DAYS: ${{ inputs.days || 7 }}
-        FAIL_THRESHOLD: ${{ inputs.fail_threshold || 3 }}
-        FAIL_RATE_THRESHOLD: ${{ inputs.fail_rate_threshold || 30 }}
-      run: |
-        set +e
-        python3 scripts/ci/ci_repeated_failure_detector.py
-        EXIT_CODE=$?
-        echo "检测完成，退出码: $EXIT_CODE"
-        # 0=无异常, 1=有警告, 2=有严重问题
-        # 监控脚本永远不fail，避免告警风暴
-        exit 0
-
-    - name: Job duration summary
-      if: always()
-      shell: sh
-      run: bash scripts/ci/step_timer_end.sh
-
-    - name: Report CI trace
-      if: always()
-      shell: sh
-      env:
-        AGENTLOOP_LICENSE_KEY: ${{ secrets.AGENTLOOP_LICENSE_KEY }}
-      run: |
-        STATUS="ok"
-        [ ${{ job.status }} = "success" ] || STATUS="error"
-        START_TIME=""
-        [ -f /tmp/ci_job_start_time ] && START_TIME=$(cat /tmp/ci_job_start_time)
-        python3 scripts/ci/ci_trace_report.py --service xiaoxia-saas-ci --status $STATUS --start-time "$START_TIME" || true
@@ -1,15 +1,19 @@
 name: CI Health Daily Report
+
 on:
  schedule:
    - cron: '0 1 * * *'  # UTC 01:00 = 北京时间 09:00
  workflow_dispatch:
+
 permissions:
  contents: read
+
 jobs:
  ci-health-report:
    name: CI健康度每日巡检
-    runs-on: ci-l2
-    timeout-minutes: 15
+    runs-on: saas
+    timeout-minutes: 10
+
    steps:
    - name: Checkout code
      shell: sh
@@ -57,34 +61,6 @@ jobs:
                    tar.extract(member, '.')
        PY

-    - name: Generate CI Dashboard HTML
-      shell: sh
-      env:
-        GITEA_TOKEN: ${{ github.token }}
-      run: |
-        set +e
-        echo "=== 生成 CI 健康度 HTML 看板 ==="
-        echo "时间: $(date '+%Y-%m-%d %H:%M:%S')"
-        echo ""
-        python3 scripts/ci/ci_dashboard.py --days 7 --html --html-output ci_dashboard.html
-        EXIT_CODE=$?
-        if [ $EXIT_CODE -eq 0 ] && [ -f ci_dashboard.html ]; then
-            HTML_SIZE=$(wc -c < ci_dashboard.html)
-            echo ""
-            echo "✅ HTML 看板生成成功 (${HTML_SIZE} bytes)"
-            echo "路径: $(pwd)/ci_dashboard.html"
-            # 输出文件内容前几行，方便在 Actions 日志中确认
-            echo ""
-            echo "--- 看板预览 (前 5 行) ---"
-            head -5 ci_dashboard.html
-            echo "...（完整内容见产物文件）"
-        else
-            echo "❌ HTML 看板生成失败 (exit code: $EXIT_CODE)"
-        fi
-        echo ""
-        # 永远成功，看板生成失败不影响主流程
-        exit 0
-
    - name: Run CI health check and report
      shell: sh
      env:
@@ -95,8 +71,10 @@ jobs:
        echo "=== CI健康度每日巡检 ==="
        echo "时间: $(date '+%Y-%m-%d %H:%M:%S')"
        echo ""
+
        python3 scripts/ci/ci_health_report.py --limit 30
        EXIT_CODE=$?
+
        echo ""
        echo "巡检完成 (exit code: $EXIT_CODE)"
        # 永远成功，不影响CI状态（通知失败不应该标红）
@@ -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
@@ -16,15 +16,15 @@ permissions:
 jobs:
  monitor:
    name: Monitor CI Trigger Reliability
-    runs-on: ci-l2
+    runs-on: ubuntu-latest
    timeout-minutes: 5
    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
+        uses: actions/checkout@v3
+        # 网络波动自动重试2次
+        retry:
+          max_attempts: 2
+          retry_on: error
      
      - name: Check CI trigger status for all open PRs
        env:
@@ -15,18 +15,20 @@ concurrency:
 jobs:
  code-review:
    name: AI Code Review
-    runs-on: ci-l2
+    runs-on: ubuntu-latest
    # 跳过草稿 PR
    if: ${{ !gitea.event.pull_request.draft }}

    steps:
      # actions/checkout 由 runner 在宿主机层面处理，不受容器网络影响
      - 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
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+        # 网络波动自动重试2次
+        retry:
+          max_attempts: 2
+          retry_on: error

      - name: Install dependencies
        run: |
@@ -48,7 +50,6 @@ jobs:
          GITEA_TOKEN: ${{ secrets.REVIEW_GITEA_TOKEN }}
          REPO_NAME: ${{ gitea.repository }}
          PR_NUMBER: ${{ gitea.event.pull_request.number }}
-          PR_HEAD_SHA: ${{ gitea.event.pull_request.head.sha }}
          # LLM 提供商: coze (扣子原生Bot) / openai (OpenAI兼容)
          LLM_PROVIDER: "coze"
          # 扣子模式配置（默认国内站 api.coze.cn）
@@ -61,9 +62,8 @@ jobs:
          LLM_TIMEOUT: "120"
        run: |
          python3 scripts/ci_code_review.py
-        # 注意：脚本退出码决定job状态
-        # - 有阻塞级问题 → exit 1 → job失败 → 门禁拦截
-        # - 无阻塞级问题/LLM异常 → exit 0 → 通过（fail-open）
+        # 审查脚本异常不影响 CI 通过
+        continue-on-error: true

      - name: Report CI trace
        if: always()
@@ -1,5 +1,4 @@
 name: Daily Health Check
-# 注意：使用 curl step_checkout.sh 方式以兼容 docker runner

 on:
  schedule:
@@ -13,7 +12,7 @@ jobs:
  # ── 1. 生产环境冒烟测试 ─────────────────────────────────────────────
  production-smoke:
    name: Production Smoke Test
-    runs-on: ci-l2
+    runs-on: saas
    timeout-minutes: 8
    outputs:
      report: ${{ steps.smoke.outputs.report }}
@@ -24,9 +23,47 @@ jobs:
        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
+          set -eu
+          python3 - <<'PY'
+          import io, os, tarfile, time, urllib.request, urllib.error
+          url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
+          request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
+          last_err = None
+          for attempt in range(5):
+              try:
+                  with urllib.request.urlopen(request, timeout=120) as response:
+                      archive = response.read()
+                  break
+              except urllib.error.HTTPError as e:
+                  last_err = e
+                  if e.code >= 500 and attempt < 4:
+                      wait = 2 ** attempt
+                      print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
+                      time.sleep(wait)
+                      continue
+                  raise
+              except Exception as e:
+                  last_err = e
+                  if attempt < 4:
+                      wait = 2 ** attempt
+                      print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
+                      time.sleep(wait)
+                      continue
+                  raise
+          else:
+              raise last_err
+          with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
+              root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
+              for member in tar.getmembers():
+                  name = member.name
+                  if name == root_prefix[:-1]:
+                      continue
+                  if name.startswith(root_prefix):
+                      member.name = name[len(root_prefix):]
+                  if member.name:
+                      tar.extract(member, '.')
+          PY
+
      - name: Production health check & smoke test
        id: smoke
        shell: sh
@@ -84,10 +121,10 @@ jobs:
  # ── 2. Staging API 集成测试 ─────────────────────────────────────────
  staging-api-tests:
    name: Staging API Integration Tests
-    runs-on: ci-l2
+    runs-on: saas
    timeout-minutes: 10
    outputs:
-      report: ${{ steps.report.outputs.report }}
+      report: ${{ steps.smoke.outputs.report }}

    steps:
      - name: Checkout code
@@ -95,15 +132,50 @@ jobs:
        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
+          set -eu
+          python3 - <<'PY'
+          import io, os, tarfile, time, urllib.request, urllib.error
+          url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
+          request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
+          last_err = None
+          for attempt in range(5):
+              try:
+                  with urllib.request.urlopen(request, timeout=120) as response:
+                      archive = response.read()
+                  break
+              except urllib.error.HTTPError as e:
+                  last_err = e
+                  if e.code >= 500 and attempt < 4:
+                      wait = 2 ** attempt
+                      print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
+                      time.sleep(wait)
+                      continue
+                  raise
+              except Exception as e:
+                  last_err = e
+                  if attempt < 4:
+                      wait = 2 ** attempt
+                      print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
+                      time.sleep(wait)
+                      continue
+                  raise
+          else:
+              raise last_err
+          with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
+              root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
+              for member in tar.getmembers():
+                  name = member.name
+                  if name == root_prefix[:-1]:
+                      continue
+                  if name.startswith(root_prefix):
+                      member.name = name[len(root_prefix):]
+                  if member.name:
+                      tar.extract(member, '.')
+          PY
+
      - name: Run API smoke test on staging
        id: smoke
        shell: sh
-        env:
-          STAGING_TEST_USER: ${{ secrets.STAGING_TEST_USER }}
-          STAGING_TEST_PASSWORD: ${{ secrets.STAGING_TEST_PASSWORD }}
        run: |
          set +e
          START_TIME=$(date +%s)
@@ -111,8 +183,8 @@ jobs:
          docker run --rm \
            -e BASE_URL=https://staging-api.xiaoxiajianji.com \
            -e WEB_URL=https://staging.xiaoxiajianji.com \
-            -e TEST_USER="$STAGING_TEST_USER" \
-            -e TEST_PASSWORD="$STAGING_TEST_PASSWORD" \
+            -e TEST_USER=18314979086@163.com \
+            -e TEST_PASSWORD=Ying1234 \
            -e CLEANUP_ENABLED=1 \
            -e PERF_CHECK_ENABLED=1 \
            -e PERF_WARN_THRESHOLD_MS=500 \
@@ -198,10 +270,10 @@ jobs:
  # ── 3. Staging 浏览器 E2E ──────────────────────────────────────────
  staging-e2e:
    name: Staging Browser E2E
-    runs-on: ci-l2
+    runs-on: saas
    timeout-minutes: 15
    outputs:
-      report: ${{ steps.e2e.outputs.report }}
+      report: ${{ steps.smoke.outputs.report }}

    steps:
      - name: Checkout code
@@ -209,9 +281,47 @@ jobs:
        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
+          set -eu
+          python3 - <<'PY'
+          import io, os, tarfile, time, urllib.request, urllib.error
+          url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
+          request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
+          last_err = None
+          for attempt in range(5):
+              try:
+                  with urllib.request.urlopen(request, timeout=120) as response:
+                      archive = response.read()
+                  break
+              except urllib.error.HTTPError as e:
+                  last_err = e
+                  if e.code >= 500 and attempt < 4:
+                      wait = 2 ** attempt
+                      print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
+                      time.sleep(wait)
+                      continue
+                  raise
+              except Exception as e:
+                  last_err = e
+                  if attempt < 4:
+                      wait = 2 ** attempt
+                      print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
+                      time.sleep(wait)
+                      continue
+                  raise
+          else:
+              raise last_err
+          with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
+              root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
+              for member in tar.getmembers():
+                  name = member.name
+                  if name == root_prefix[:-1]:
+                      continue
+                  if name.startswith(root_prefix):
+                      member.name = name[len(root_prefix):]
+                  if member.name:
+                      tar.extract(member, '.')
+          PY
+
      - name: Run Playwright E2E on staging
        id: e2e
        shell: sh
@@ -261,7 +371,7 @@ jobs:
  # ── 4. 性能基线巡检 ────────────────────────────────────────────────
  performance-check:
    name: Performance Baseline Check
-    runs-on: ci-l2
+    runs-on: saas
    timeout-minutes: 8
    outputs:
      report: ${{ steps.report.outputs.report }}
@@ -270,9 +380,6 @@ jobs:
      - name: Run performance baseline checks
        id: perf
        shell: sh
-        env:
-          STAGING_TEST_USER: ${{ secrets.STAGING_TEST_USER }}
-          STAGING_TEST_PASSWORD: ${{ secrets.STAGING_TEST_PASSWORD }}
        run: |
          set +e
          START_TIME=$(date +%s)
@@ -308,10 +415,9 @@ jobs:

          # 先登录获取 token
          echo "--- 准备: 获取测试 Token ---"
-          LOGIN_BODY="{\"email\":\"$STAGING_TEST_USER\",\"password\":\"$STAGING_TEST_PASSWORD\"}"
          AUTH_RESP=$(curl -s -w "\n%{http_code}" -X POST \
            -H "Content-Type: application/json" \
-            -d "$LOGIN_BODY" \
+            -d '{"email":"18314979086@163.com","password":"Ying1234"}' \
            "https://staging-api.xiaoxiajianji.com/api/v1/auth/login" \
            --max-time 10 2>&1)
          AUTH_CODE=$(echo "$AUTH_RESP" | tail -1)
@@ -341,7 +447,7 @@ jobs:
            # 构建 curl 命令
            CURL_ARGS="-s -o /dev/null -w '%{http_code} %{time_total}' --max-time 30"
            if [ "$method" = "POST" ]; then
-              CURL_ARGS="$CURL_ARGS -X POST -H 'Content-Type: application/json' -d \"$LOGIN_BODY\""
+              CURL_ARGS="$CURL_ARGS -X POST -H 'Content-Type: application/json' -d '{\"email\":\"18314979086@163.com\",\"password\":\"Ying1234\"}'"
            fi
            if [ -n "$TOKEN" ] && [ "$name" != "健康检查" ]; then
              CURL_ARGS="$CURL_ARGS -H 'Authorization: Bearer $TOKEN'"
@@ -389,9 +495,6 @@ jobs:
      - name: Generate performance report
        id: report
        shell: sh
-        env:
-          STAGING_TEST_USER: ${{ secrets.STAGING_TEST_USER }}
-          STAGING_TEST_PASSWORD: ${{ secrets.STAGING_TEST_PASSWORD }}
        run: |
          set +e
          echo ""
@@ -406,11 +509,10 @@ jobs:
          RESULTS=""
          START_TIME=$(date +%s)

-          LOGIN_BODY="{\"email\":\"$STAGING_TEST_USER\",\"password\":\"$STAGING_TEST_PASSWORD\"}"
          # 先登录获取 token
          AUTH_RESP=$(curl -s -w "\n%{http_code}" -X POST \
            -H "Content-Type: application/json" \
-            -d "$LOGIN_BODY" \
+            -d '{"email":"18314979086@163.com","password":"Ying1234"}' \
            "https://staging-api.xiaoxiajianji.com/api/v1/auth/login" \
            --max-time 10 2>&1)
          AUTH_CODE=$(echo "$AUTH_RESP" | tail -1)
@@ -426,7 +528,7 @@ jobs:

            local CURL_ARGS="-s -o /dev/null -w '%{http_code} %{time_total}' --max-time 30"
            if [ "$method" = "POST" ]; then
-              CURL_ARGS="$CURL_ARGS -X POST -H 'Content-Type: application/json' -d \"$LOGIN_BODY\""
+              CURL_ARGS="$CURL_ARGS -X POST -H 'Content-Type: application/json' -d '{\"email\":\"18314979086@163.com\",\"password\":\"Ying1234\"}'"
            fi
            if [ -n "$TOKEN" ] && [ "$name" != "健康检查" ]; then
              CURL_ARGS="$CURL_ARGS -H 'Authorization: Bearer $TOKEN'"
@@ -529,7 +631,7 @@ jobs:
  # ── 5. 每日巡检汇总报告 ────────────────────────────────────────────
  daily-report:
    name: Daily Check Report
-    runs-on: ci-l2
+    runs-on: saas
    timeout-minutes: 2
    if: always()
    needs:
@@ -1,60 +0,0 @@
-name: "Debug: Web container v2 (mount conflict)"
-on:
-  push:
-    branches: [debug/web-crash-v2]
-  workflow_dispatch:
-jobs:
-  web-diag:
-    runs-on: runtime-builder
-    timeout-minutes: 10
-    steps:
-      - name: Setup SSH and diagnose
-        shell: bash
-        env:
-          STAGING_SSH_KEY: ${{ secrets.PREVIEW_SSH_KEY }}
-        run: |
-          set -x
-          which ssh || (apt-get update -qq && apt-get install -y -qq openssh-client)
-          mkdir -p ~/.ssh && chmod 700 ~/.ssh
-          printf "%s" "$STAGING_SSH_KEY" > ~/.ssh/id_rsa
-          chmod 600 ~/.ssh/id_rsa
-          H=47.98.113.167; P=22222
-          ssh-keyscan -p $P -H $H >> ~/.ssh/known_hosts 2>/dev/null
-          ssh -p $P -i ~/.ssh/id_rsa -o StrictHostKeyChecking=no root@$H 'bash -s' <<'REMOTE'
-          set -x
-          echo "=== Current staging containers ==="
-          docker ps -a --filter name=xiaoxia-*-staging --format "table {{.Names}}\t{{.Status}}\t{{.Image}}"
-          echo ""
-          echo "=== Web container logs (current/current-rolledback) ==="
-          docker logs xiaoxia-web-staging 2>&1 | tail -40
-          echo ""
-          echo "=== Web inspect: env & mounts ==="
-          docker inspect xiaoxia-web-staging --format 'Entrypoint: {{.Config.Entrypoint}} Cmd: {{.Config.Cmd}}'
-          docker inspect xiaoxia-web-staging --format '{{range .Config.Env}}{{.}}{{"\n"}}{{end}}' | grep -E "APP_ENV|VERSION"
-          echo "Mounts:"
-          docker inspect xiaoxia-web-staging --format '{{range .Mounts}}{{.Type}} {{.Source}} -> {{.Destination}} (rw={{.RW}}){{"\n"}}{{end}}'
-          echo ""
-          echo "=== Reproduce: rm on read-only bind mount ==="
-          docker run --rm --name nginx-ro-test \
-            -v /var/lib/xiaoxia-saas-staging/nginx-staging.conf:/etc/nginx/conf.d/default.conf:ro \
-            git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas/xiaoxia-saas-web:387514c \
-            sh -c '
-              set -x
-              echo "Before:"
-              ls -la /etc/nginx/conf.d/
-              echo "Try rm (as entrypoint does):"
-              rm -f /etc/nginx/conf.d/default.conf
-              echo "rm exitcode=$?"
-              echo "After rm:"
-              ls -la /etc/nginx/conf.d/
-              echo "Test ln:"
-              ln -s /etc/nginx/nginx-staging.conf /etc/nginx/conf.d/default.conf
-              echo "ln exitcode=$?"
-              ls -la /etc/nginx/conf.d/
-              echo "nginx -t:"
-              nginx -t 2>&1
-            ' 2>&1
-          echo ""
-          echo "=== Also test with NEW fixed image (9c0d4b1 if present) ==="
-          docker images | grep xiaoxia-saas-web | head -5
-REMOTE
@@ -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"
@@ -1,56 +0,0 @@
-name: PR Auto Scan
-# 定时扫描所有open PR，对CI全绿的触发审批/合并
-# 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）
-  workflow_dispatch:
-
-permissions:
-  contents: read
-
-jobs:
-  auto-scan:
-    name: Auto Scan Open PRs
-    runs-on: ci-check
-    timeout-minutes: 5
-    if: github.repository == 'xiaoxia/xiaoxia-saas'
-    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/pr_auto_scan.py?ref=develop"             -o /tmp/pr_auto_scan.py
-          python3 /tmp/pr_auto_scan.py --help > /dev/null 2>&1 || {
-            # fallback: checkout
-            echo "使用checkout方式"
-            curl -sH "Authorization: token $GITHUB_TOKEN"               "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=develop"               | bash
-          }
-
-      - name: Scan and auto process PRs
-        shell: bash
-        env:
-          GITHUB_TOKEN: ${{ github.token }}
-          REVIEW_TOKEN: ${{ secrets.REVIEW_GITEA_TOKEN }}
-          MERGE_TOKEN: ${{ secrets.REVIEW_GITEA_TOKEN }}
-        run: |
-          set -eu
-          echo "=== 扫描所有open PR并自动处理 ==="
-          echo "时间: $(date)"
-          echo
-
-          python3 /tmp/pr_auto_scan.py             --token "$REVIEW_TOKEN"             --repo "$GITHUB_REPOSITORY"             --base develop             --approve             --merge             --dry-run false
-
-          echo ""
-          echo "✅ 扫描完成"
-
-      - name: Report CI trace
-        if: always()
-        shell: sh
-        env:
-          AGENTLOOP_LICENSE_KEY: ${{ secrets.AGENTLOOP_LICENSE_KEY }}
-        run: |
-          STATUS="ok"
-          [ ${{ job.status }} = "success" ] || STATUS="error"
-          python3 scripts/ci/ci_trace_report.py --service xiaoxia-saas-ci --status $STATUS --start-time "" || true
@@ -3,22 +3,16 @@ name: PR Automation
 on:
  pull_request:
    types: [synchronize, opened, ready_for_review, review_requested]
-  workflow_dispatch:

 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: 20
    steps:
      - name: Checkout code
        shell: sh
@@ -27,15 +21,6 @@ jobs:
        run: |
          curl -sH "Authorization: token $GITHUB_TOKEN"             "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}"             | bash

-      - name: "🔍 脚本语法自检"
-        shell: bash
-        run: |
-          ERROR=0
-          for f in scripts/ci/*.sh; do [ -f "$f" ] && bash -n "$f" 2>&1 || ERROR=$((ERROR+1)); done
-          for f in scripts/ci/*.py; do [ -f "$f" ] && python3 -m py_compile "$f" 2>&1 || ERROR=$((ERROR+1)); done
-          if [ "$ERROR" -ne 0 ]; then echo "❌ 语法自检失败 ($ERROR个)"; exit 1; fi
-          echo "✅ 脚本语法自检通过"
-
      - name: Auto approve when CI passes
        shell: bash
        env:
@@ -44,7 +29,151 @@ jobs:
          PR_NUMBER: ${{ github.event.pull_request.number }}
          PR_HEAD_SHA: ${{ github.event.pull_request.head.sha }}
        run: |
-          bash scripts/ci/auto_approve.sh
+          set -eu
+
+          echo "PR #${PR_NUMBER} - 检查CI状态并自动审批"
+
+          # 检查是否纯前端改动
+          API_URL="${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/pulls/${PR_NUMBER}/files?limit=300"
+          FILES=$(curl -s -H "Authorization: token ${GITHUB_TOKEN}" "$API_URL" | python3 -c "import sys,json; [print(f['filename']) for f in json.load(sys.stdin)]")
+          FRONTEND_COUNT=$(echo "$FILES" | grep -c '^apps/web/' || true)
+          BACKEND_COUNT=$(echo "$FILES" | grep -cv '^apps/web/' || true)
+          TOTAL=$(echo "$FILES" | grep -cv '^$' || true)
+          echo "变更文件: ${TOTAL} 个 (前端: ${FRONTEND_COUNT}, 后端/公共: ${BACKEND_COUNT})"
+
+          if [ "$BACKEND_COUNT" = "0" ] && [ "$FRONTEND_COUNT" -gt "0" ]; then
+            SKIP_BACKEND=true
+            echo "✅ 纯前端改动，只检查Frontend Lint"
+          else
+            SKIP_BACKEND=false
+            echo "🔧 包含后端/公共变更，检查全部CI"
+          fi
+
+          # 定义需要检查的context
+          if [ "$SKIP_BACKEND" = "true" ]; then
+            CONTEXTS=("CI/CD Pipeline / Frontend Lint (pull_request)")
+          else
+            CONTEXTS=(
+              "CI/CD Pipeline / Validate Code Quality And Tests (pull_request)"
+              "CI/CD Pipeline / Frontend Lint (pull_request)"
+            )
+          fi
+
+          echo "需要通过的CI检查: ${#CONTEXTS[@]} 项（与分支保护required门禁一致）"
+          for ctx in "${CONTEXTS[@]}"; do
+            echo "  - $ctx"
+          done
+          echo
+
+          # 初始等待30秒，给CI启动写status的时间
+          echo "等待30秒让CI启动..."
+          sleep 30
+
+          # 轮询等待，最多20分钟（120次x10秒）
+          for attempt in $(seq 1 120); do
+            ALL_SUCCESS=true
+            ANY_FAILED=false
+            ANY_PENDING=false
+
+            echo "--- 第${attempt}次检查 ($(date '+%H:%M:%S')) ---"
+
+            # 调用辅助脚本检查每个context状态
+            for ctx in "${CONTEXTS[@]}"; do
+              STATE=$(python3 scripts/check_ci_status.py "$GITHUB_TOKEN" "$GITHUB_REPOSITORY" "$PR_HEAD_SHA" "$ctx")
+              echo "  $ctx: $STATE"
+
+              if [ "$STATE" != "success" ]; then
+                ALL_SUCCESS=false
+              fi
+              if [ "$STATE" = "failure" ] || [ "$STATE" = "error" ]; then
+                ANY_FAILED=true
+              fi
+              if [ "$STATE" = "pending" ] || [ "$STATE" = "null" ]; then
+                ANY_PENDING=true
+              fi
+            done
+
+            if [ "$ALL_SUCCESS" = "true" ]; then
+              echo
+              echo "✅ 所有CI检查通过，自动审批 PR #${PR_NUMBER}"
+
+              # 检查是否已有审批
+              EXISTING=$(curl -s -H "Authorization: token ${REVIEW_TOKEN}" \
+                "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/pulls/${PR_NUMBER}/reviews" \
+                | python3 -c "import sys,json; reviews=json.load(sys.stdin); print('yes' if any(r.get('state')=='APPROVED' for r in reviews) else 'no')")
+
+              if [ "$EXISTING" = "yes" ]; then
+                echo "ℹ️  PR #${PR_NUMBER} 已有审批，跳过"
+                exit 0
+              fi
+
+              # 第一步：创建PENDING review
+              echo "创建review..."
+              REVIEW_CREATE=$(curl -s -X POST \
+                -H "Authorization: token ${REVIEW_TOKEN}" \
+                -H "Content-Type: application/json" \
+                -d '{"event": "PENDING", "body": "CI全绿，自动审批通过。"}' \
+                "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/pulls/${PR_NUMBER}/reviews")
+              
+              REVIEW_ID=$(echo "$REVIEW_CREATE" | python3 -c "import sys,json; print(json.load(sys.stdin).get('id',''))")
+              REVIEW_STATE=$(echo "$REVIEW_CREATE" | python3 -c "import sys,json; print(json.load(sys.stdin).get('state',''))")
+              echo "创建结果: id=$REVIEW_ID state=$REVIEW_STATE"
+
+              if [ -z "$REVIEW_ID" ]; then
+                echo "❌ 创建review失败"
+                echo "$REVIEW_CREATE"
+                exit 1
+              fi
+
+              if [ "$REVIEW_STATE" = "APPROVED" ]; then
+                echo "✅ 自动审批成功（直接创建为APPROVED）"
+                exit 0
+              fi
+
+              # 第二步：submit review为APPROVED
+              echo "提交review审批..."
+              SUBMIT_CODE=$(curl -s -o /tmp/submit_resp.json -w "%{http_code}" \
+                -X POST \
+                -H "Authorization: token ${REVIEW_TOKEN}" \
+                -H "Content-Type: application/json" \
+                -d '{"event": "APPROVED", "body": "CI全绿，自动审批通过。"}' \
+                "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/pulls/${PR_NUMBER}/reviews/${REVIEW_ID}")
+              
+              echo "提交API HTTP状态: $SUBMIT_CODE"
+              cat /tmp/submit_resp.json 2>/dev/null || true
+              echo
+
+              if [ "$SUBMIT_CODE" = "200" ] || [ "$SUBMIT_CODE" = "201" ]; then
+                FINAL_STATE=$(python3 -c "import json; print(json.load(open('/tmp/submit_resp.json')).get('state',''))" 2>/dev/null || echo "?")
+                echo "✅ 自动审批成功 (state: $FINAL_STATE)"
+                exit 0
+              else
+                echo "❌ 提交审批失败"
+                exit 1
+              fi
+            fi
+
+            # 还有CI在跑 → 继续等
+            if [ "$ANY_PENDING" = "true" ]; then
+              echo "⏳ CI仍在运行中，继续等待（第${attempt}/120次轮询）..."
+              sleep 10
+              continue
+            fi
+
+            # 所有CI都跑完了但有失败 → 退出
+            if [ "$ANY_FAILED" = "true" ]; then
+              echo
+              echo "❌ CI检查有失败项，不自动审批"
+              exit 0
+            fi
+
+            sleep 10
+          done
+
+          echo
+          echo "⏰ 等待超时（20分钟），CI尚未全部完成"
+          exit 0
+
      - name: Report CI trace
        if: always()
        shell: sh
@@ -61,8 +190,7 @@ 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: 30
    steps:
      - name: Checkout code
        shell: sh
@@ -71,31 +199,6 @@ jobs:
        run: |
          curl -sH "Authorization: token $GITHUB_TOKEN"             "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}"             | bash

-      - name: "🔍 脚本语法自检（防止脚本bug导致所有PR挂掉）"
-        shell: bash
-        run: |
-          echo "=== CI脚本语法自检 ==="
-          ERROR=0
-          for f in scripts/ci/*.sh; do
-            [ -f "$f" ] || continue
-            if ! bash -n "$f" 2>&1; then
-              echo "FAIL: $f"
-              ERROR=1
-            fi
-          done
-          for f in scripts/ci/*.py; do
-            [ -f "$f" ] || continue
-            if ! python3 -m py_compile "$f" 2>&1; then
-              echo "FAIL: $f"
-              ERROR=1
-            fi
-          done
-          if [ "$ERROR" -ne 0 ]; then
-            echo "❌ 脚本语法自检失败"
-            exit 1
-          fi
-          echo "✅ 所有CI脚本语法自检通过"
-
      - name: Auto merge when CI passes and approved
        shell: bash
        env:
@@ -105,7 +208,153 @@ jobs:
          PR_HEAD_SHA: ${{ github.event.pull_request.head.sha }}
          BASE_REF: ${{ github.event.pull_request.base.ref }}
        run: |
-          bash scripts/ci/auto_merge.sh
+          set -eu
+
+          echo "PR #${PR_NUMBER} - 检查CI状态+审批并自动合并到${BASE_REF}"
+          echo
+
+          # 只合develop分支
+          if [ "$BASE_REF" != "develop" ]; then
+            echo "Skip: 目标分支不是develop"
+            exit 0
+          fi
+
+          # 判断是否纯前端改动
+          FILES=$(curl -s -H "Authorization: token ${GITHUB_TOKEN}" \
+            "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/pulls/${PR_NUMBER}/files?limit=300" \
+            | python3 -c "import sys,json; [print(f['filename']) for f in json.load(sys.stdin)]")
+          TOTAL=$(echo "$FILES" | grep -cv '^$' || true)
+          FRONTEND_COUNT=$(echo "$FILES" | grep -c '^apps/web/' || true)
+          BACKEND_COUNT=$((TOTAL - FRONTEND_COUNT))
+          echo "变更文件: ${TOTAL} 个 (前端: ${FRONTEND_COUNT}, 后端/公共: ${BACKEND_COUNT})"
+
+          if [ "$BACKEND_COUNT" = "0" ] && [ "$FRONTEND_COUNT" -gt "0" ]; then
+            CONTEXTS=("CI/CD Pipeline / Frontend Lint (pull_request)")
+            echo "纯前端改动，只检查Frontend Lint"
+          else
+            CONTEXTS=(
+              "CI/CD Pipeline / Validate Code Quality And Tests (pull_request)"
+              "CI/CD Pipeline / Frontend Lint (pull_request)"
+              "CI/CD Pipeline / PR Build API Image (pull_request)"
+              "CI/CD Pipeline / PR Build Worker Image (pull_request)"
+              "CI/CD Pipeline / PR Build Web Image (pull_request)"
+            )
+            echo "检查required门禁（与分支保护一致）"
+          fi
+          echo
+
+          # 初始等待30秒，给CI启动写status的时间
+          echo "等待30秒让CI启动..."
+          sleep 30
+
+          # 405连续计数器
+          MERGE_405_COUNT=0
+          MAX_405_RETRIES=10
+
+          # 轮询等待，最多30分钟（180次x10秒）
+          for attempt in $(seq 1 180); do
+            ALL_SUCCESS=true
+            ANY_FAILED=false
+            ANY_PENDING=false
+
+            echo "--- 第${attempt}次检查 ($(date '+%H:%M:%S')) ---"
+
+            # 检查CI状态
+            for ctx in "${CONTEXTS[@]}"; do
+              STATE=$(python3 scripts/check_ci_status.py "$GITHUB_TOKEN" "$GITHUB_REPOSITORY" "$PR_HEAD_SHA" "$ctx")
+              echo "  CI: ${ctx##*/}: $STATE"
+              if [ "$STATE" != "success" ]; then
+                ALL_SUCCESS=false
+              fi
+              if [ "$STATE" = "failure" ] || [ "$STATE" = "error" ]; then
+                ANY_FAILED=true
+              fi
+              if [ "$STATE" = "pending" ]; then
+                ANY_PENDING=true
+              fi
+            done
+
+            # 检查审批状态
+            APPROVAL_RESULT=$(python3 scripts/check_pr_approval.py "$MERGE_TOKEN" "$GITHUB_REPOSITORY" "$PR_NUMBER" 1)
+            echo "  审批: $APPROVAL_RESULT"
+            HAS_APPROVAL=false
+            if echo "$APPROVAL_RESULT" | grep -q '^approved'; then
+              HAS_APPROVAL=true
+            fi
+
+            # 全部满足 → 合并
+            if [ "$ALL_SUCCESS" = "true" ] && [ "$HAS_APPROVAL" = "true" ]; then
+              echo
+              echo "CI全绿 + 审批通过，执行自动合并"
+              echo "等待60秒冷却，给Gitea内部状态同步时间..."
+              sleep 60
+
+              # 幂等检查：PR是否还是open
+              PR_STATE=$(curl -s -H "Authorization: token ${MERGE_TOKEN}" \
+                "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/pulls/${PR_NUMBER}" \
+                | python3 -c "import sys,json; print(json.load(sys.stdin).get('state',''))")
+
+              if [ "$PR_STATE" != "open" ]; then
+                echo "PR状态为 ${PR_STATE}，无需合并"
+                exit 0
+              fi
+
+              # 执行squash merge
+              HTTP_CODE=$(curl -s -o /tmp/merge_resp.json -w "%{http_code}" \
+                -X POST \
+                -H "Authorization: token ${MERGE_TOKEN}" \
+                -H "Content-Type: application/json" \
+                -d '{"do":"squash","merge_title_field":"","merge_message_field":"","delete_branch_after_merge":true,"force_merge":false}' \
+                "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/pulls/${PR_NUMBER}/merge")
+
+              echo "合并API HTTP状态: $HTTP_CODE"
+
+              if [ "$HTTP_CODE" = "200" ]; then
+                echo "自动合并成功"
+                exit 0
+              elif [ "$HTTP_CODE" = "405" ]; then
+                MERGE_405_COUNT=$((MERGE_405_COUNT + 1))
+                echo "⚠️  合并返回405（第${MERGE_405_COUNT}次），可能CI状态尚未同步或有未解决的门禁，继续等待重试..."
+                cat /tmp/merge_resp.json 2>/dev/null || true
+                echo
+                if [ "$MERGE_405_COUNT" -ge "$MAX_405_RETRIES" ]; then
+                  echo "⚠️  连续${MAX_405_RETRIES}次合并返回405，放弃自动合并（需人工确认，非代码问题）"
+                  curl -s -X POST \
+                    -H "Authorization: token ${MERGE_TOKEN}" \
+                    -H "Content-Type: application/json" \
+                    -d '{"body": "Auto merge skipped after multiple 405 errors: PR may have conflicts or unresolved checks. Please review manually. This is not a CI failure."}' \
+                    "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/issues/${PR_NUMBER}/comments" > /dev/null 2>&1 || true
+                  exit 0
+                fi
+                sleep 30
+                continue
+              else
+                echo "自动合并失败 (HTTP $HTTP_CODE)"
+                cat /tmp/merge_resp.json 2>/dev/null || true
+                curl -s -X POST \
+                  -H "Authorization: token ${MERGE_TOKEN}" \
+                  -H "Content-Type: application/json" \
+                  -d "{\"body\": \"Auto merge failed (HTTP ${HTTP_CODE}), please check manually.\"}" \
+                  "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/issues/${PR_NUMBER}/comments" > /dev/null 2>&1 || true
+                exit 1
+              fi
+            else
+              # 本轮不满足合并条件，重置405计数器
+              MERGE_405_COUNT=0
+            fi
+
+            if [ "$ANY_FAILED" = "true" ]; then
+              echo
+              echo "CI有失败项，不自动合并"
+              exit 0
+            fi
+
+            sleep 10
+          done
+
+          echo
+          echo "等待超时（30分钟）"
+          exit 0
      - name: Report CI trace
        if: always()
        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}"
@@ -93,28 +93,44 @@ jobs:
      shell: sh
      run: |
        set -eu
-        cd apps/web
+        NPM_CACHE_VOLUME="xiaoxia-npm-cache"
+        if ! docker volume inspect "$NPM_CACHE_VOLUME" >/dev/null 2>&1; then
+          docker volume create "$NPM_CACHE_VOLUME" >/dev/null
+          echo "Created npm cache volume: $NPM_CACHE_VOLUME"
+        fi

-        # 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..."
-          [ $i -eq 3 ] && exit 1
-          rm -rf node_modules
-          sleep 5
-        done
-
-        # TypeScript check
-        echo "=== TypeScript check ==="
-        ./node_modules/.bin/tsc --noEmit
-
-        # Vite build
-        echo "=== Vite build ==="
-        export VITE_API_URL=https://staging-api.xiaoxiajianji.com
-        ./node_modules/.bin/vite build
-
-        echo "=== Build completed ==="
-        ls -la dist/
+        docker run --rm \
+          -v "$PWD:/workspace" \
+          -v "$NPM_CACHE_VOLUME:/workspace/apps/web/node_modules" \
+          -w /workspace/apps/web \
+          -e VITE_API_URL=https://staging-api.xiaoxiajianji.com \
+          docker.m.daocloud.io/library/node:20 \
+          sh -lc '
+            PACKAGE_LOCK_HASH=$(md5sum package-lock.json 2>/dev/null | cut -d" " -f1)
+            CACHE_HASH_FILE="node_modules/.package-lock-hash"
+            CACHE_VALID=false
+            if [ -f "$CACHE_HASH_FILE" ] && [ "$(cat "$CACHE_HASH_FILE")" = "$PACKAGE_LOCK_HASH" ] && [ -x "node_modules/.bin/vite" ] && [ -x "node_modules/.bin/tsc" ]; then
+              CACHE_VALID=true
+              echo "Cache hit: dependencies valid, skipping npm ci"
+            fi
+            if [ "$CACHE_VALID" = "false" ]; then
+              echo "Cache miss or invalid: running npm ci..."
+              if ! npm ci --include=dev; then
+                echo "npm ci failed, cleaning node_modules and retrying..."
+                rm -rf node_modules
+                mkdir -p node_modules
+                npm ci --include=dev
+              fi
+              echo "$PACKAGE_LOCK_HASH" > "$CACHE_HASH_FILE"
+              echo "Dependencies installed, cache updated"
+            fi
+            echo "Running TypeScript check..."
+            npx --no-install tsc
+            echo "Running Vite build..."
+            npx --no-install vite build
+            echo "Build completed successfully"
+            ls -la dist/
+          '

    - name: Install SSH client and rsync
      shell: sh
@@ -1,86 +0,0 @@
-name: Worker Base Image Build
-
-on:
-  push:
-    branches:
-      - develop
-      - main
-    paths:
-      - 'requirements-base.txt'
-      - 'requirements.txt'
-      - 'requirements-worker.txt'
-      - 'infra/docker/worker-base.Dockerfile'
-  workflow_dispatch:
-
-jobs:
-  build-worker-base:
-    name: Build Worker 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 $i/3），5s 后重试..."
-          sleep 5
-        done
-
-    - name: Build and push Worker base image
-      shell: sh
-      run: |
-        set -eu
-        ACR_IMAGE="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji/saas-worker-base:latest"
-        GITEA_IMAGE="git.xiaoxiajianji.com/xiaoxia-saas/saas-worker-base:latest"
-
-        echo "=== Building Worker base image ==="
-
-        # 使用普通 docker build（单平台不需要 buildx）
-        docker build \
-          -f infra/docker/worker-base.Dockerfile \
-          -t "${ACR_IMAGE}" \
-          .
-
-        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-worker-base:latest"
-        docker rmi "${ACR_IMAGE}" 2>/dev/null || true
-        docker image prune -f 2>/dev/null || true
-        echo "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）
@@ -494,5 +494,3 @@
 - [Fixed] Bug 修复
 - [Security] 安全相关更新
 - [Performance] 性能优化
---
- 2026-09-16: fix extract-from-douyin 异常路径全部返回业务码（消除500） #1963
@@ -1,2 +0,0 @@
-Mon Oct  5 04:09:11 PM CST 2026
-2198 lite/pro并行竞速 (commit 9699a1f) — CI rebuild trigger Mon Oct  5 08:09:11 AM UTC 2026
@@ -1 +0,0 @@
-retrigger3
@@ -263,4 +263,3 @@ pytest --cov=packages --cov-report=html
 ---

 **License**: MIT
-<!-- CI trigger: 1788229339 -->
@@ -1,3 +1,4 @@
+import os
 from logging.config import fileConfig

 from sqlalchemy import engine_from_config, pool
@@ -7,17 +8,13 @@ from alembic import context
 # Import your models' Base here
 from packages.adapters.sqlalchemy_impl.models import Base

-# 使用统一配置入口获取 database_url，而非直接读环境变量
-from packages.config import get_shared_settings
-
 # this is the Alembic Config object, which provides
 # access to the values within the .ini file in use.
 config = context.config

-# 从统一配置系统获取 database_url，确保与应用使用同一配置源
-settings = get_shared_settings()
-if settings.database_url:
-    config.set_main_option("sqlalchemy.url", settings.database_url)
+database_url = os.getenv("DATABASE_URL")
+if database_url:
+    config.set_main_option("sqlalchemy.url", database_url)

 # Interpret the config file for Python logging.
 # This line sets up loggers basically.
@@ -1,48 +0,0 @@
-"""#P3-2 - 视频分享表 video_shares
-
-Revision ID: 050
-Revises: 049
-Create Date: 2026-07-22
-
-Changes:
-1. 新建 video_shares 表，支持视频匿名分享链接
-2. share_token 唯一索引，用于公开分享URL
-3. 支持密码保护、有效期、浏览/下载计数
-"""
-
-import sqlalchemy as sa
-
-from alembic import context, op
-
-revision = "050_video_shares"
-down_revision = "049_wechat_login_phone"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    conn = op.get_bind()
-    if context.get_context().dialect.name == "postgresql":
-        # 检查表是否已存在（幂等）
-        result = conn.execute(sa.text("SELECT to_regclass('public.video_shares')"))
-        if result.scalar() is not None:
-            return
-
-    op.create_table(
-        "video_shares",
-        sa.Column("id", sa.String(32), primary_key=True),
-        sa.Column("video_id", sa.String(32), nullable=False, index=True),
-        sa.Column("user_id", sa.String(32), nullable=False, index=True),
-        sa.Column("share_token", sa.String(16), nullable=False, unique=True),
-        sa.Column("password_hash", sa.String(255), nullable=True),
-        sa.Column("expires_at", sa.DateTime(timezone=True), nullable=True),
-        sa.Column("view_count", sa.Integer, nullable=False, server_default="0"),
-        sa.Column("download_count", sa.Integer, nullable=False, server_default="0"),
-        sa.Column("is_active", sa.Boolean, nullable=False, server_default=sa.true()),
-        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()),
-    )
-
-
-def downgrade() -> None:
-    op.drop_table("video_shares")
@@ -1,53 +0,0 @@
-"""#632 - 一键生成输出分辨率可配置
-
-Revision ID: 051
-Revises: 050
-Create Date: 2026-07-23
-
-Changes:
-1. generation_tasks 表新增 resolution 字段，存储用户指定的输出分辨率（如 "1280x720"）
-2. 为空时使用默认值（1280x720）
-"""
-
-import sqlalchemy as sa
-
-from alembic import context, op
-
-revision = "051_generation_task_resolution"
-down_revision = "050_video_shares"
-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 = 'resolution'"
-            )
-        )
-        if result.scalar() is not None:
-            return
-
-    op.add_column(
-        "generation_tasks",
-        sa.Column("resolution", sa.String(20), nullable=False, server_default=""),
-    )
-
-
-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 = 'resolution'"
-            )
-        )
-        if result.scalar() is None:
-            return
-
-    op.drop_column("generation_tasks", "resolution")
@@ -1,64 +0,0 @@
-"""#642 - 生成任务新增 bgm_config 字段
-
-Revision ID: 052_generation_task_bgm_config
-Revises: 051_generation_task_resolution
-Create Date: 2026-07-25
-
-Changes:
-1. generation_tasks 表新增 bgm_config 字段（JSON类型），存储用户自定义BGM配置
-2. 为空时使用默认空字典
-
-背景：
-#642 一键生成支持自定义BGM 功能在 SQLAlchemy 模型中加了 bgm_config 字段，
-但遗漏了 alembic migration，导致 staging 环境数据库没有该列，
-创建生成任务时直接 500。
-"""
-
-import sqlalchemy as sa
-
-from alembic import context, op
-
-revision = "052_generation_task_bgm_config"
-down_revision = "051_generation_task_resolution"
-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 = 'bgm_config'"
-            )
-        )
-        if result.scalar() is not None:
-            return
-
-    op.add_column(
-        "generation_tasks",
-        sa.Column(
-            "bgm_config",
-            sa.JSON,
-            nullable=False,
-            server_default=sa.text("'{}'::json"),
-        ),
-    )
-
-
-def downgrade() -> None:
-    conn = op.get_bind()
-    if context.get_context().dialect.name == "postgresql":
-        # 检查列是否存在（幂等）
-        result = conn.execute(
-            sa.text(
-                "SELECT column_name FROM information_schema.columns "
-                "WHERE table_name = 'generation_tasks' AND column_name = 'bgm_config'"
-            )
-        )
-        if result.scalar() is None:
-            return
-
-    op.drop_column("generation_tasks", "bgm_config")
@@ -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")
@@ -1,45 +0,0 @@
-"""lipsync_jobs 增加 TTS 直生字段（voice_id/script_text/speed/emotion）
-
-Revision ID: 073_add_lipsync_tts_fields
-Revises: 072_add_ai_avatar_render
-Create Date: 2026-09-09
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "073_add_lipsync_tts_fields"
-down_revision = "072_add_ai_avatar_render"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # 对口型支持「传音色 + 文案直接生成」：后端内部先 TTS 合成音频再提交对口型
-    op.add_column(
-        "lipsync_jobs",
-        sa.Column("voice_id", sa.String(200), nullable=False, server_default=""),
-    )
-    op.add_column(
-        "lipsync_jobs",
-        sa.Column("script_text", sa.Text(), nullable=False, server_default=""),
-    )
-    op.add_column(
-        "lipsync_jobs",
-        sa.Column("speed", sa.Float(), nullable=False, server_default=sa.text("1.0")),
-    )
-    op.add_column(
-        "lipsync_jobs",
-        sa.Column("emotion", sa.String(20), nullable=False, server_default=""),
-    )
-    # audio_url 改为可空：直生模式下音频由后端 TTS 合成后回填
-    op.alter_column("lipsync_jobs", "audio_url", existing_type=sa.Text(), nullable=True)
-
-
-def downgrade() -> None:
-    op.alter_column("lipsync_jobs", "audio_url", existing_type=sa.Text(), nullable=False)
-    op.drop_column("lipsync_jobs", "emotion")
-    op.drop_column("lipsync_jobs", "speed")
-    op.drop_column("lipsync_jobs", "script_text")
-    op.drop_column("lipsync_jobs", "voice_id")
@@ -1,36 +0,0 @@
-"""ai_avatar_render_jobs.script_id 放宽为可空串（手动文案直生场景不关联文案库）
-
-Revision ID: 074_render_script_id_optional
-Revises: 073_add_lipsync_tts_fields
-Create Date: 2026-09-09
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "074_render_script_id_optional"
-down_revision = "073_add_lipsync_tts_fields"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # 列保持 NOT NULL（空串占位），仅应用层允许不传；这里显式补 server_default 防止历史约束歧义
-    with op.batch_alter_table("ai_avatar_render_jobs") as batch:
-        batch.alter_column(
-            "script_id",
-            existing_type=sa.String(length=36),
-            nullable=False,
-            server_default="",
-        )
-
-
-def downgrade() -> None:
-    with op.batch_alter_table("ai_avatar_render_jobs") as batch:
-        batch.alter_column(
-            "script_id",
-            existing_type=sa.String(length=36),
-            nullable=False,
-            server_default=None,
-        )
@@ -1,27 +0,0 @@
-"""add sentence_timings to lipsync_jobs
-
-Revision ID: 075_add_sentence_timings
-Revises: 074_ai_avatar_render_script_id_optional
-Create Date: 2026-09-12
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "075_add_sentence_timings"
-down_revision = "074_render_script_id_optional"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    with op.batch_alter_table("lipsync_jobs") as batch:
-        batch.add_column(
-            sa.Column("sentence_timings", sa.JSON(), nullable=True),
-        )
-
-
-def downgrade() -> None:
-    with op.batch_alter_table("lipsync_jobs") as batch:
-        batch.drop_column("sentence_timings")
@@ -1,133 +0,0 @@
-"""add membership & points system
-
-Revision ID: 076_membership_points
-Revises: 075_add_sentence_timings
-Create Date: 2026-09-15
-"""
-
-import sqlalchemy as sa
-from sqlalchemy import text
-
-from alembic import op
-
-revision = "076_membership_points"
-down_revision = "075_add_sentence_timings"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # 1. users 表新增字段
-    with op.batch_alter_table("users") as batch:
-        batch.add_column(
-            sa.Column("is_member", sa.Boolean(), nullable=False, server_default=sa.text("false")),
-        )
-        batch.add_column(
-            sa.Column("member_type", sa.String(20), nullable=True),
-        )
-        batch.add_column(
-            sa.Column("member_expires_at", sa.DateTime(), nullable=True),
-        )
-        batch.add_column(
-            sa.Column("points_balance", sa.Integer(), nullable=False, server_default=sa.text("0")),
-        )
-
-    # 2. points_accounts 积分账户表
-    op.create_table(
-        "points_accounts",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column("user_id", sa.String(36), nullable=False, unique=True, index=True),
-        sa.Column("balance", sa.Integer(), nullable=False, server_default=sa.text("0")),
-        sa.Column("total_earned", sa.Integer(), nullable=False, server_default=sa.text("0")),
-        sa.Column("total_spent", sa.Integer(), nullable=False, server_default=sa.text("0")),
-        sa.Column(
-            "created_at",
-            sa.DateTime(),
-            nullable=False,
-            server_default=sa.text("NOW()"),
-        ),
-        sa.Column(
-            "updated_at",
-            sa.DateTime(),
-            nullable=False,
-            server_default=sa.text("NOW()"),
-        ),
-    )
-
-    # 3. points_transactions 积分流水表
-    op.create_table(
-        "points_transactions",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column("user_id", sa.String(36), nullable=False, index=True),
-        sa.Column("account_id", sa.String(36), nullable=False, index=True),
-        sa.Column("type", sa.String(20), nullable=False, index=True),
-        sa.Column("source", sa.String(50), nullable=False, index=True),
-        sa.Column("amount", sa.Integer(), nullable=False),
-        sa.Column("balance_after", sa.Integer(), nullable=False),
-        sa.Column("description", sa.String(255), nullable=False, server_default=""),
-        sa.Column("ref_id", sa.String(100), nullable=False, server_default=""),
-        sa.Column(
-            "created_at",
-            sa.DateTime(),
-            nullable=False,
-            server_default=sa.text("NOW()"),
-        ),
-    )
-
-    # 4. points_orders 积分/会员订单表
-    op.create_table(
-        "points_orders",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column("user_id", sa.String(36), nullable=False, index=True),
-        sa.Column("order_type", sa.String(20), nullable=False),
-        sa.Column("product_code", sa.String(50), nullable=False),
-        sa.Column("amount_cents", sa.Integer(), nullable=False),
-        sa.Column("original_amount_cents", sa.Integer(), nullable=False, server_default=sa.text("0")),
-        sa.Column("discount", sa.Float(), nullable=False, server_default=sa.text("1.0")),
-        sa.Column("points_amount", sa.Integer(), nullable=False, server_default=sa.text("0")),
-        sa.Column("status", sa.String(20), nullable=False, server_default="pending", index=True),
-        sa.Column("payment_method", sa.String(50), nullable=True),
-        sa.Column("payment_id", sa.String(100), nullable=True),
-        sa.Column("paid_at", sa.DateTime(), nullable=True),
-        sa.Column(
-            "created_at",
-            sa.DateTime(),
-            nullable=False,
-            server_default=sa.text("NOW()"),
-        ),
-    )
-
-    # 5. daily_usage_records 每日使用记录表
-    op.create_table(
-        "daily_usage_records",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column("user_id", sa.String(36), nullable=False, index=True),
-        sa.Column("usage_date", sa.DateTime(), nullable=False),
-        sa.Column("usage_type", sa.String(50), nullable=False, server_default="free_clip"),
-        sa.Column("count", sa.Integer(), nullable=False, server_default=sa.text("0")),
-        sa.Column(
-            "updated_at",
-            sa.DateTime(),
-            nullable=False,
-            server_default=sa.text("NOW()"),
-        ),
-        sa.UniqueConstraint(
-            "user_id",
-            "usage_date",
-            "usage_type",
-            name="uq_daily_usage_user_date_type",
-        ),
-    )
-
-
-def downgrade() -> None:
-    op.drop_table("daily_usage_records")
-    op.drop_table("points_orders")
-    op.drop_table("points_transactions")
-    op.drop_table("points_accounts")
-
-    with op.batch_alter_table("users") as batch:
-        batch.drop_column("points_balance")
-        batch.drop_column("member_expires_at")
-        batch.drop_column("member_type")
-        batch.drop_column("is_member")
@@ -1,67 +0,0 @@
-"""#1894: merge title_libraries into scripts — add title_text/title_category/title_config
-
-Revision ID: 077_merge_title_libs
-Revises: 076_membership_points
-Create Date: 2026-09-15
-"""
-
-import sqlalchemy as sa
-
-from alembic import context, op
-
-revision = "077_merge_title_libs"
-down_revision = "076_membership_points"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    with op.batch_alter_table("scripts") as batch:
-        batch.add_column(
-            sa.Column("title_text", sa.String(500), nullable=False, server_default=""),
-        )
-        batch.add_column(
-            sa.Column("title_category", sa.String(50), nullable=False, server_default=""),
-        )
-        batch.add_column(
-            sa.Column("title_config", sa.JSON, nullable=False, server_default="{}"),
-        )
-
-    if context.get_context().dialect.name == "postgresql":
-        conn = op.get_bind()
-        result = conn.execute(sa.text("SELECT to_regclass('public.title_libraries')"))
-        if result.scalar() is not None:
-            conn.execute(sa.text("""
-                    INSERT INTO scripts
-                        (id, user_id, title, content, segments, tags,
-                         title_text, title_category, title_config,
-                         created_at, updated_at)
-                    SELECT
-                        gen_random_uuid()::TEXT,
-                        tl.user_id,
-                        COALESCE(tl.name, '迁移标题'),
-                        COALESCE(tl.text, ''),
-                        '[]'::JSONB,
-                        COALESCE(tl.tags, '[]'::JSONB),
-                        COALESCE(tl.text, ''),
-                        COALESCE(tl.category, ''),
-                        COALESCE(tl."metadata", '{}'::JSONB),
-                        tl.created_at,
-                        tl.updated_at
-                    FROM title_libraries tl
-                    WHERE tl.is_active = true
-                      AND NOT EXISTS (
-                        SELECT 1 FROM scripts s
-                        WHERE s.user_id = tl.user_id
-                          AND s.title_text = COALESCE(tl.text, '')
-                          AND s.title_category = COALESCE(tl.category, '')
-                          AND s.created_at = tl.created_at
-                      )
-                    """))
-
-
-def downgrade() -> None:
-    with op.batch_alter_table("scripts") as batch:
-        batch.drop_column("title_config")
-        batch.drop_column("title_category")
-        batch.drop_column("title_text")
@@ -1,33 +0,0 @@
-"""#1894: drop obsolete script title fields (title_text/title_category/title_config)
-
-Revision ID: 078_drop_script_title_fields
-Revises: 077_merge_title_libs
-Create Date: 2026-09-16
-
-口播文案（scripts）不再自带配套标题、标题分类和标题样式字段。
-智能剪辑 / AI 数字人等生成场景各自通过入参配置标题，不再从文案读取。
-保留字段：title（名称）、content（正文）、segments（分段）、tags（标签）。
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "078_drop_script_title_fields"
-down_revision = "077_merge_title_libs"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    with op.batch_alter_table("scripts") as batch:
-        batch.drop_column("title_config")
-        batch.drop_column("title_category")
-        batch.drop_column("title_text")
-
-
-def downgrade() -> None:
-    with op.batch_alter_table("scripts") as batch:
-        batch.add_column(sa.Column("title_text", sa.String(500), nullable=False, server_default=""))
-        batch.add_column(sa.Column("title_category", sa.String(50), nullable=False, server_default=""))
-        batch.add_column(sa.Column("title_config", sa.JSON, nullable=False, server_default="{}"))
@@ -1,58 +0,0 @@
-"""add asset_atom_clips table
-
-Revision ID: 079_asset_atom_clips
-Revises: 078_drop_script_title_fields
-Create Date: 2026-09-17
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "079_asset_atom_clips"
-down_revision = "078_drop_script_title_fields"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.create_table(
-        "asset_atom_clips",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column(
-            "asset_id",
-            sa.String(36),
-            sa.ForeignKey("assets.id", ondelete="CASCADE"),
-            nullable=False,
-        ),
-        sa.Column("start_time", sa.Float(), nullable=False),
-        sa.Column("end_time", sa.Float(), nullable=False),
-        sa.Column("duration", sa.Float(), nullable=False),
-        sa.Column("clip_index", sa.Integer(), nullable=False),
-        sa.Column("tags", sa.JSON(), nullable=False, server_default=sa.text("'[]'")),
-        sa.Column("scene_change_at", sa.Float(), nullable=True),
-        sa.Column(
-            "is_fallback",
-            sa.Boolean(),
-            nullable=False,
-            server_default=sa.text("false"),
-        ),
-        sa.Column(
-            "created_at",
-            sa.DateTime(timezone=True),
-            nullable=False,
-            server_default=sa.text("NOW()"),
-        ),
-    )
-    # 按素材查片段并按索引排序（复合索引前缀可独立用于 asset_id 过滤）
-    op.create_index(
-        "ix_asset_atom_clips_asset_index",
-        "asset_atom_clips",
-        ["asset_id", "clip_index"],
-        unique=True,
-    )
-
-
-def downgrade() -> None:
-    op.drop_index("ix_asset_atom_clips_asset_index", table_name="asset_atom_clips")
-    op.drop_table("asset_atom_clips")
@@ -1,37 +0,0 @@
-"""add edit_plan_clips.atom_clip_id for #1970
-
-Revision ID: 080_edit_plan_clips_atom_clip_id
-Revises: 079_asset_atom_clips
-Create Date: 2026-09-17
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "080_edit_plan_clips_atom_clip_id"
-down_revision = "079_asset_atom_clips"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "edit_plan_clips",
-        sa.Column(
-            "atom_clip_id",
-            sa.String(36),
-            nullable=False,
-            server_default=sa.text("''"),
-        ),
-    )
-    op.create_index(
-        "ix_edit_plan_clips_atom_clip_id",
-        "edit_plan_clips",
-        ["atom_clip_id"],
-    )
-
-
-def downgrade() -> None:
-    op.drop_index("ix_edit_plan_clips_atom_clip_id", table_name="edit_plan_clips")
-    op.drop_column("edit_plan_clips", "atom_clip_id")
@@ -1,58 +0,0 @@
-"""add gpu_lipsync_tasks and gpu_workers tables for MuseTalk reverse-poll worker
-
-Revision ID: 081_add_gpu_lipsync
-Revises: 080_edit_plan_clips_atom_clip_id
-Create Date: 2026-09-18
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "081_add_gpu_lipsync"
-down_revision = "080_edit_plan_clips_atom_clip_id"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # GPU Worker 注册表
-    op.create_table(
-        "gpu_workers",
-        sa.Column("worker_id", sa.String(100), primary_key=True),
-        sa.Column("hostname", sa.String(200), nullable=False, server_default=""),
-        sa.Column("gpu_name", sa.String(200), nullable=False, server_default=""),
-        sa.Column("free_vram_mb", sa.Integer(), nullable=False, server_default=sa.text("0")),
-        sa.Column("capabilities", sa.String(500), nullable=False, server_default=""),
-        sa.Column("last_heartbeat_at", sa.DateTime(), nullable=True, index=True),
-        sa.Column("created_at", sa.DateTime(), nullable=False, server_default=sa.func.now()),
-    )
-
-    # GPU 口型同步任务表
-    op.create_table(
-        "gpu_lipsync_tasks",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column("lipsync_job_id", sa.String(36), nullable=False, server_default="", index=True),
-        sa.Column("user_id", sa.String(36), nullable=False, server_default="", index=True),
-        sa.Column("project_id", sa.String(36), nullable=False, server_default="", index=True),
-        sa.Column("video_url", sa.Text(), nullable=False),
-        sa.Column("audio_url", sa.Text(), nullable=False),
-        sa.Column("result_url", sa.Text(), nullable=False, server_default=""),
-        sa.Column("result_duration", sa.Float(), nullable=False, server_default=sa.text("0.0")),
-        sa.Column("status", sa.String(20), nullable=False, server_default="pending", index=True),
-        sa.Column("worker_id", sa.String(100), nullable=False, server_default="", index=True),
-        sa.Column("attempt", sa.Integer(), nullable=False, server_default=sa.text("0")),
-        sa.Column("error_msg", sa.Text(), nullable=False, server_default=""),
-        sa.Column("created_at", sa.DateTime(), nullable=False, server_default=sa.func.now()),
-        sa.Column("started_at", sa.DateTime(), nullable=True),
-        sa.Column("finished_at", sa.DateTime(), nullable=True),
-        sa.Column("updated_at", sa.DateTime(), nullable=False, server_default=sa.func.now()),
-        sa.Column("last_heartbeat_at", sa.DateTime(), nullable=True),
-    )
-    op.create_index("ix_gpu_lipsync_status_created", "gpu_lipsync_tasks", ["status", "created_at"])
-
-
-def downgrade() -> None:
-    op.drop_index("ix_gpu_lipsync_status_created", table_name="gpu_lipsync_tasks")
-    op.drop_table("gpu_lipsync_tasks")
-    op.drop_table("gpu_workers")
@@ -1,26 +0,0 @@
-"""add ai_tags to asset_atom_clips for #1970 fragment-level AI tagging
-
-Revision ID: 082_atom_clip_ai_tags
-Revises: 081_add_gpu_lipsync
-Create Date: 2026-09-18
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "082_atom_clip_ai_tags"
-down_revision = "081_add_gpu_lipsync"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "asset_atom_clips",
-        sa.Column("ai_tags", sa.JSON(), nullable=True),
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("asset_atom_clips", "ai_tags")
@@ -1,26 +0,0 @@
-"""#2001 爆款标题样式面板升级: ai_avatar_render_jobs 新增 cover_title_config
-
-Revision ID: 083_cover_title_config
-Revises: 082_atom_clip_ai_tags
-Create Date: 2026-09-20
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "083_cover_title_config"
-down_revision = "082_atom_clip_ai_tags"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "ai_avatar_render_jobs",
-        sa.Column("cover_title_config", sa.JSON(), nullable=False, server_default=sa.text("'{}'")),
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("ai_avatar_render_jobs", "cover_title_config")
@@ -1,26 +0,0 @@
-"""lipsync_jobs 新增 style 字段（TTS 语气风格）
-
-Revision ID: 084_lipsync_jobs_style
-Revises: 083_cover_title_config
-Create Date: 2026-09-21
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "084_lipsync_jobs_style"
-down_revision = "083_cover_title_config"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "lipsync_jobs",
-        sa.Column("style", sa.String(length=32), nullable=False, server_default=""),
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("lipsync_jobs", "style")
@@ -1,33 +0,0 @@
-"""asset_atom_clips 新增 caption/embedding 字段（#2035 语义标签增强）
-
-Revision ID: 085_atom_clip_caption_embedding
-Revises: 084_lipsync_jobs_style
-Create Date: 2026-09-25
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "085_atom_clip_caption_embedding"
-down_revision = "084_lipsync_jobs_style"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # caption: 中文画面描述（10-30字）
-    op.add_column(
-        "asset_atom_clips",
-        sa.Column("caption", sa.Text(), nullable=True),
-    )
-    # embedding: caption 对应的向量（豆包 embedding 接口返回，JSON 存 float 数组）
-    op.add_column(
-        "asset_atom_clips",
-        sa.Column("embedding", sa.JSON(), nullable=True),
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("asset_atom_clips", "embedding")
-    op.drop_column("asset_atom_clips", "caption")
@@ -1,100 +0,0 @@
-"""add viral video tables
-
-Revision ID: 086_add_viral_video_tables
-Revises: 085_atom_clip_caption_embedding
-Create Date: 2026-09-28
-
-新增爆款视频相关表：
- viral_video_jobs: 爆款视频任务
- viral_video_style_templates: 风格模板配置
- viral_video_prompt_templates: Prompt 模板（由 #2040 seed）
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "086_add_viral_video_tables"
-down_revision = "085_atom_clip_caption_embedding"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # viral_video_jobs
-    op.create_table(
-        "viral_video_jobs",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column("user_id", sa.String(36), nullable=False, index=True),
-        sa.Column("images", sa.JSON(), nullable=False, server_default="[]"),
-        sa.Column("industry", sa.String(100), nullable=False, server_default=""),
-        sa.Column("target_customer", sa.String(500), nullable=False, server_default=""),
-        sa.Column("persona_id", sa.String(36), nullable=False, server_default=""),
-        sa.Column("viral_structure", sa.String(50), nullable=False, server_default=""),
-        sa.Column("marketing_purpose", sa.String(100), nullable=False, server_default=""),
-        sa.Column("bgm_preference", sa.String(50), nullable=False, server_default=""),
-        sa.Column("duration", sa.Integer(), nullable=False, server_default="30"),
-        sa.Column("user_copy_text", sa.Text(), nullable=False, server_default=""),
-        sa.Column("fusion_level", sa.String(20), nullable=False, server_default="ai_polish"),
-        sa.Column("reference_audio_path", sa.String(1000), nullable=False, server_default=""),
-        # v1.3 新增
-        sa.Column("reference_video_url", sa.String(1000), nullable=False, server_default=""),
-        sa.Column("style_strength", sa.String(20), nullable=False, server_default="medium"),
-        sa.Column("style_guide", sa.JSON(), nullable=True),
-        sa.Column("style_template_id", sa.String(36), nullable=False, server_default="", index=True),
-        # 状态与结果
-        sa.Column("status", sa.String(30), nullable=False, server_default="pending", index=True),
-        sa.Column("intent_result", sa.JSON(), nullable=True),
-        sa.Column("result_video_url", sa.String(1000), nullable=False, server_default=""),
-        sa.Column("credits_cost", sa.Integer(), nullable=False, server_default="0"),
-        sa.Column("error_msg", sa.Text(), nullable=False, server_default=""),
-        sa.Column("retry_count", sa.Integer(), nullable=False, server_default="0"),
-        sa.Column("started_at", sa.DateTime(timezone=True), nullable=True),
-        sa.Column("completed_at", sa.DateTime(timezone=True), nullable=True),
-        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()),
-    )
-
-    # viral_video_style_templates
-    op.create_table(
-        "viral_video_style_templates",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column("name", sa.String(200), nullable=False),
-        sa.Column("description", sa.Text(), nullable=False, server_default=""),
-        sa.Column("thumbnail_url", sa.String(1000), nullable=False, server_default=""),
-        sa.Column("style_config", sa.JSON(), nullable=False, server_default="{}"),
-        sa.Column("is_system", sa.Boolean(), nullable=False, server_default=sa.text("true"), index=True),
-        sa.Column("sort_order", sa.Integer(), nullable=False, server_default="0"),
-        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()),
-    )
-
-    # viral_video_prompt_templates
-    op.create_table(
-        "viral_video_prompt_templates",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column("prompt_type", sa.String(50), nullable=False, index=True),
-        sa.Column("name", sa.String(200), nullable=False),
-        sa.Column("content", sa.Text(), nullable=False, server_default=""),
-        sa.Column("variables", sa.JSON(), nullable=False, server_default="[]"),
-        sa.Column("version", sa.Integer(), nullable=False, server_default="1"),
-        sa.Column("is_active", sa.Boolean(), nullable=False, server_default=sa.text("true"), index=True),
-        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()),
-    )
-
-    # Seed 默认风格模板
-    op.execute("""
-        INSERT INTO viral_video_style_templates (id, name, description, style_config, is_system, sort_order)
-        VALUES
-            ('style-tpl-001', '快节奏冲击', '高频切镜+动感BGM，适合食品饮料等快消品', '{"cut_speed": "fast", "transition": "jump_cut", "energy": "high"}', true, 1),
-            ('style-tpl-002', '质感慢镜', '慢节奏+电影感调色，适合美妆护肤珠宝', '{"cut_speed": "slow", "transition": "dissolve", "energy": "low", "color_grade": "cinematic"}', true, 2),
-            ('style-tpl-003', '口播种草', '数字人口播+产品特写穿插', '{"cut_speed": "medium", "transition": "cross_dissolve", "has_talking_head": true}', true, 3),
-            ('style-tpl-004', '场景叙事', '多场景切换+故事线叙述', '{"cut_speed": "medium", "transition": "wipe", "narrative": true}', true, 4)
-        """)
-
-
-def downgrade() -> None:
-    op.drop_table("viral_video_prompt_templates")
-    op.drop_table("viral_video_style_templates")
-    op.drop_table("viral_video_jobs")
@@ -1,25 +0,0 @@
-"""viral video add image_analysis column
-
-Revision ID: 087_viral_video_image_analysis
-Revises: 086_add_viral_video_tables
-Create Date: 2026-09-30
-
-#2106 爆款视频 P0：持久化图片分析结果（image_analysis JSON），供 resume 阶段使用。
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "087_viral_video_image_analysis"
-down_revision = "086_add_viral_video_tables"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column("viral_video_jobs", sa.Column("image_analysis", sa.JSON(), nullable=True))
-
-
-def downgrade() -> None:
-    op.drop_column("viral_video_jobs", "image_analysis")
@@ -1,51 +0,0 @@
-"""viral video add copy_result + voice/video columns
-
-Revision ID: 088_viral_video_copy_result
-Revises: 087_viral_video_image_analysis
-Create Date: 2026-10-01
-
-v1.6 爆款视频字段补齐：
- copy_result JSON: 编导分镜脚本完整结构（overview/scene_and_lighting/shots/hard_constraints/negative_prompts/voiceover_script）
- voice_id/voice_source: TTS 音色参数
- video_ratio/video_model: Seedance 视频比例/模型
-注意：线上启动也有幂等 ADD COLUMN 补列逻辑 (_ensure_viral_video_columns)，本 migration 提供标准 Alembic 路径，
-两套机制互不冲突（IF NOT EXISTS 等价行为）。
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "088_viral_video_copy_result"
-down_revision = "087_viral_video_image_analysis"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # 幂等添加列（通过单独执行 + 异常忽略兼容已由 backfill 补上的环境）
-    cols = [
-        ("voice_id", "VARCHAR(200) NOT NULL DEFAULT ''"),
-        ("voice_source", "VARCHAR(20) NOT NULL DEFAULT ''"),
-        ("video_ratio", "VARCHAR(10) NOT NULL DEFAULT '9:16'"),
-        ("video_model", "VARCHAR(100) NOT NULL DEFAULT ''"),
-        ("copy_result", "JSON"),
-    ]
-    conn = op.get_bind()
-    for name, ddl in cols:
-        try:
-            conn.execute(sa.text(f"ALTER TABLE viral_video_jobs ADD COLUMN IF NOT EXISTS {name} {ddl}"))
-        except Exception:
-            # 不支持 IF NOT EXISTS 的库（如老版本 SQLite）直接尝试 ADD COLUMN，失败则忽略
-            try:
-                conn.execute(sa.text(f"ALTER TABLE viral_video_jobs ADD COLUMN {name} {ddl}"))
-            except Exception:
-                pass
-
-
-def downgrade() -> None:
-    for name in ("copy_result", "video_model", "video_ratio", "voice_source", "voice_id"):
-        try:
-            op.drop_column("viral_video_jobs", name)
-        except Exception:
-            pass
@@ -1,62 +0,0 @@
-"""viral video add storyboard + generated_copy_text (complement 088)
-
-Revision ID: 089_viral_video_cols
-Revises: 088_viral_video_copy_result
-Create Date: 2026-10-01
-
-#2129 兜底迁移：补齐 _VIRAL_VIDEO_BACKFILL_COLS 中所有列，覆盖
-# watchtower 自动部署未跑历史 migration、且 AUTO_CREATE_SCHEMA=false 时
-# _ensure_viral_video_columns 未执行的场景。
-# 幂等 ADD COLUMN IF NOT EXISTS，已存在则跳过。
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "089_viral_video_cols"
-down_revision = "088_viral_video_copy_result"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # 扩展 alembic_version.version_num 字段长度（原来 VARCHAR(32) 装不下长 revision id）
-    conn = op.get_bind()
-    try:
-        conn.execute(sa.text("ALTER TABLE alembic_version ALTER COLUMN version_num TYPE VARCHAR(256)"))
-    except Exception:
-        pass
-    cols = [
-        ("storyboard", "JSON"),
-        ("generated_copy_text", "TEXT NOT NULL DEFAULT ''"),
-        ("voice_id", "VARCHAR(200) NOT NULL DEFAULT ''"),
-        ("voice_source", "VARCHAR(20) NOT NULL DEFAULT ''"),
-        ("video_ratio", "VARCHAR(10) NOT NULL DEFAULT '9:16'"),
-        ("video_model", "VARCHAR(100) NOT NULL DEFAULT ''"),
-        ("copy_result", "JSON"),
-    ]
-    for name, ddl in cols:
-        try:
-            conn.execute(sa.text(f"ALTER TABLE viral_video_jobs ADD COLUMN IF NOT EXISTS {name} {ddl}"))
-        except Exception:
-            try:
-                conn.execute(sa.text(f"ALTER TABLE viral_video_jobs ADD COLUMN {name} {ddl}"))
-            except Exception:
-                pass
-
-
-def downgrade() -> None:
-    for name in (
-        "copy_result",
-        "video_model",
-        "video_ratio",
-        "voice_source",
-        "voice_id",
-        "generated_copy_text",
-        "storyboard",
-    ):
-        try:
-            op.drop_column("viral_video_jobs", name)
-        except Exception:
-            pass
@@ -1,35 +0,0 @@
-"""viral video add phase_message column (#2134)
-
-Revision ID: 090_viral_video_phase_msg
-Revises: 089_viral_video_cols
-Create Date: 2026-10-02
-
-#2134 阶段细粒度提示：viral_video 表新增 phase_message 列（中文阶段提示文案）。
-current_stage 列已在之前版本存在，本迁移只补 phase_message。
-幂等 ADD COLUMN IF NOT EXISTS。
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "090_viral_video_phase_msg"
-down_revision = "089_viral_video_cols"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # SQLite/PostgreSQL 兼容的幂等添加列
-    conn = op.get_bind()
-    inspector = sa.inspect(conn)
-    cols = {c["name"] for c in inspector.get_columns("viral_video_jobs")}
-    if "phase_message" not in cols:
-        op.add_column(
-            "viral_video_jobs",
-            sa.Column("phase_message", sa.String(length=500), nullable=False, server_default=""),
-        )
-
-
-def downgrade() -> None:
-    op.drop_column("viral_video_jobs", "phase_message")
@@ -1,49 +0,0 @@
-"""viral video add current_stage column (#2137 follow-up)
-
-Revision ID: 091_viral_video_stage
-Revises: 090_viral_video_phase_msg
-Create Date: 2026-10-02
-
-#2137 follow-up fix: 090 migration missed current_stage column on viral_video_jobs,
-causing UndefinedColumn errors and 500s on all authenticated viral-video endpoints.
-Idempotently add current_stage and double-check phase_message.
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "091_viral_video_stage"
-down_revision = "090_viral_video_phase_msg"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    conn = op.get_bind()
-    inspector = sa.inspect(conn)
-    cols = {c["name"] for c in inspector.get_columns("viral_video_jobs")}
-    if "current_stage" not in cols:
-        op.add_column(
-            "viral_video_jobs",
-            sa.Column(
-                "current_stage",
-                sa.String(length=200),
-                nullable=False,
-                server_default="",
-            ),
-        )
-    if "phase_message" not in cols:
-        op.add_column(
-            "viral_video_jobs",
-            sa.Column(
-                "phase_message",
-                sa.String(length=500),
-                nullable=False,
-                server_default="",
-            ),
-        )
-
-
-def downgrade() -> None:
-    op.drop_column("viral_video_jobs", "current_stage")
@@ -1,42 +0,0 @@
-"""viral_video_jobs 增加 heartbeat_at 列（worker 心跳，用于僵尸任务超时回收）
-
-Revision ID: 092_viral_video_heartbeat
-Revises: 091_viral_video_stage
-Create Date: 2026-10-02
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "092_viral_video_heartbeat"
-down_revision = "091_viral_video_stage"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    conn = op.get_bind()
-    inspector = sa.inspect(conn)
-    cols = {c["name"] for c in inspector.get_columns("viral_video_jobs")}
-    if "heartbeat_at" not in cols:
-        op.add_column("viral_video_jobs", sa.Column("heartbeat_at", sa.DateTime(), nullable=True))
-        op.execute(
-            "UPDATE viral_video_jobs SET heartbeat_at = updated_at " "WHERE status = 'running' AND heartbeat_at IS NULL"
-        )
-        try:
-            op.create_index("ix_viral_video_jobs_heartbeat_at", "viral_video_jobs", ["heartbeat_at"])
-        except Exception:
-            pass
-
-
-def downgrade() -> None:
-    conn = op.get_bind()
-    inspector = sa.inspect(conn)
-    cols = {c["name"] for c in inspector.get_columns("viral_video_jobs")}
-    if "heartbeat_at" in cols:
-        try:
-            op.drop_index("ix_viral_video_jobs_heartbeat_at", table_name="viral_video_jobs")
-        except Exception:
-            pass
-        op.drop_column("viral_video_jobs", "heartbeat_at")
@@ -1,87 +0,0 @@
-"""viral_video 动态积分定价 + 积分字段从 Integer 改为 Float (#2151)
-
-Revision ID: 093
-Revises: 092_viral_video_heartbeat
-Create Date: 2026-10-02
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "093"
-down_revision = "092_viral_video_heartbeat"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    conn = op.get_bind()
-    inspector = sa.inspect(conn)
-
-    # 1) points_accounts 三列 Integer -> Float
-    pa_cols = {c["name"]: c for c in inspector.get_columns("points_accounts")}
-    for col in ("balance", "total_earned", "total_spent"):
-        if col in pa_cols:
-            op.alter_column(
-                "points_accounts",
-                col,
-                existing_type=sa.Integer(),
-                type_=sa.Float(),
-                existing_nullable=False,
-            )
-
-    # 2) points_transactions amount/balance_after Integer -> Float
-    pt_cols = {c["name"]: c for c in inspector.get_columns("points_transactions")}
-    for col in ("amount", "balance_after"):
-        if col in pt_cols:
-            op.alter_column(
-                "points_transactions",
-                col,
-                existing_type=sa.Integer(),
-                type_=sa.Float(),
-                existing_nullable=False,
-            )
-
-    # 3) users.points_balance Integer -> Float
-    user_cols = {c["name"]: c for c in inspector.get_columns("users")}
-    if "points_balance" in user_cols:
-        op.alter_column(
-            "users",
-            "points_balance",
-            existing_type=sa.Integer(),
-            type_=sa.Float(),
-            existing_nullable=False,
-        )
-
-    # 4) viral_video_jobs.credits_cost Integer -> Float
-    vv_cols = {c["name"]: c for c in inspector.get_columns("viral_video_jobs")}
-    if "credits_cost" in vv_cols:
-        op.alter_column(
-            "viral_video_jobs",
-            "credits_cost",
-            existing_type=sa.Integer(),
-            type_=sa.Float(),
-            existing_nullable=False,
-        )
-
-    # 5) viral_video_jobs 新增列
-    if "video_resolution" not in vv_cols:
-        op.add_column(
-            "viral_video_jobs",
-            sa.Column("video_resolution", sa.String(20), nullable=False, server_default="720p"),
-        )
-    if "credits_prepaid" not in vv_cols:
-        op.add_column(
-            "viral_video_jobs",
-            sa.Column("credits_prepaid", sa.Float(), nullable=False, server_default="0"),
-        )
-    if "credits_transaction_id" not in vv_cols:
-        op.add_column(
-            "viral_video_jobs",
-            sa.Column("credits_transaction_id", sa.String(36), nullable=False, server_default=""),
-        )
-
-
-def downgrade() -> None:
-    pass
@@ -1,31 +0,0 @@
-"""viral_video_jobs 增加 pre_trusted_images 列（信任链Seedream预热结果）
-
-Revision ID: 094_viral_video_pre_trusted
-Revises: 093_viral_video_pricing_points_float
-Create Date: 2026-10-04
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "094_viral_video_pre_trusted"
-down_revision = "093"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    conn = op.get_bind()
-    inspector = sa.inspect(conn)
-    cols = {c["name"] for c in inspector.get_columns("viral_video_jobs")}
-    if "pre_trusted_images" not in cols:
-        op.add_column("viral_video_jobs", sa.Column("pre_trusted_images", sa.Text(), nullable=True))
-
-
-def downgrade() -> None:
-    conn = op.get_bind()
-    inspector = sa.inspect(conn)
-    cols = {c["name"] for c in inspector.get_columns("viral_video_jobs")}
-    if "pre_trusted_images" in cols:
-        op.drop_column("viral_video_jobs", "pre_trusted_images")
@@ -1,102 +0,0 @@
-"""爆款视频 Prompt 模板配置表（#2040）。
-
-086 曾预留同名旧表（id varchar / content / variables json），从未被业务使用；
-本迁移将其替换为 #2040 新结构。
-
-Revision ID: 095_viral_video_prompt_templates
-Revises: 094_viral_video_pre_trusted
-Create Date: 2026-10-04
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "095_viral_video_prompt_templates"
-down_revision = "094_viral_video_pre_trusted"
-branch_labels = None
-depends_on = None
-
-
-def _table_exists(conn, name: str) -> bool:
-    return name in sa.inspect(conn).get_table_names()
-
-
-def upgrade() -> None:
-    conn = op.get_bind()
-    # 086 预留的旧结构表：先删除（无业务数据、无任何引用）
-    if _table_exists(conn, "viral_video_prompt_templates"):
-        op.drop_table("viral_video_prompt_templates")
-
-    op.create_table(
-        "viral_video_prompt_templates",
-        sa.Column("id", sa.Integer, primary_key=True, autoincrement=True),
-        sa.Column("name", sa.String(128), nullable=False),
-        sa.Column("prompt_type", sa.String(32), nullable=False),
-        sa.Column("version", sa.Integer, nullable=False, server_default="1"),
-        sa.Column("system_prompt", sa.Text, nullable=False),
-        sa.Column("user_prompt_template", sa.Text, nullable=False),
-        sa.Column("example_output", sa.Text, nullable=True),
-        sa.Column("is_active", sa.Boolean, nullable=False, server_default=sa.text("true")),
-        sa.Column(
-            "created_at",
-            sa.DateTime(timezone=True),
-            server_default=sa.func.now(),
-            nullable=False,
-        ),
-        sa.Column(
-            "updated_at",
-            sa.DateTime(timezone=True),
-            server_default=sa.func.now(),
-            nullable=False,
-        ),
-    )
-    op.create_index(
-        "ix_vvpt_type_active",
-        "viral_video_prompt_templates",
-        ["prompt_type", "is_active"],
-    )
-    op.create_index(
-        "uq_vvpt_type_version",
-        "viral_video_prompt_templates",
-        ["prompt_type", "version"],
-        unique=True,
-    )
-
-
-def downgrade() -> None:
-    conn = op.get_bind()
-    if _table_exists(conn, "viral_video_prompt_templates"):
-        op.drop_index("uq_vvpt_type_version", table_name="viral_video_prompt_templates")
-        op.drop_index("ix_vvpt_type_active", table_name="viral_video_prompt_templates")
-        op.drop_table("viral_video_prompt_templates")
-
-    # 恢复 086 的旧预留结构
-    op.create_table(
-        "viral_video_prompt_templates",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column("prompt_type", sa.String(50), nullable=False, index=True),
-        sa.Column("name", sa.String(200), nullable=False),
-        sa.Column("content", sa.Text, nullable=False, server_default=""),
-        sa.Column("variables", sa.JSON, nullable=False, server_default="[]"),
-        sa.Column("version", sa.Integer, nullable=False, server_default="1"),
-        sa.Column(
-            "is_active",
-            sa.Boolean,
-            nullable=False,
-            server_default=sa.text("true"),
-            index=True,
-        ),
-        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(),
-        ),
-    )
@@ -1,61 +0,0 @@
-"""功能计费积分字段（爆款/对口型/智能剪辑 DB 化计费）。
-
-给 gpu_lipsync_tasks / generation_tasks / lipsync_jobs 三张表加积分字段：
- credits_prepaid: 提交任务时预扣积分
- credits_cost: 最终结算积分
- credits_transaction_id: 预扣流水 ID
-
-注意：feature_pricing_configs 配置表由 xiaoxia-admin 侧 migration 建立，
-本仓库只读，不在此创建。
-
-Revision ID: 096_feature_billing_fields
-Revises: 095_viral_video_prompt_templates
-Create Date: 2026-10-05
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "096_feature_billing_fields"
-down_revision = "095_viral_video_prompt_templates"
-branch_labels = None
-depends_on = None
-
-_TABLES = ("gpu_lipsync_tasks", "generation_tasks", "lipsync_jobs")
-_COLUMNS = (
-    ("credits_prepaid", sa.Float(), "0"),
-    ("credits_cost", sa.Float(), "0"),
-    ("credits_transaction_id", sa.String(36), ""),
-)
-
-
-def _table_exists(conn, name: str) -> bool:
-    return name in sa.inspect(conn).get_table_names()
-
-
-def upgrade() -> None:
-    conn = op.get_bind()
-    for table in _TABLES:
-        if not _table_exists(conn, table):
-            continue
-        existing = {c["name"] for c in sa.inspect(conn).get_columns(table)}
-        for col_name, col_type, default in _COLUMNS:
-            if col_name in existing:
-                continue
-            op.add_column(
-                table,
-                sa.Column(col_name, col_type, nullable=False, server_default=default),
-            )
-
-
-def downgrade() -> None:
-    conn = op.get_bind()
-    for table in _TABLES:
-        if not _table_exists(conn, table):
-            continue
-        existing = {c["name"] for c in sa.inspect(conn).get_columns(table)}
-        for col_name, _col_type, _default in _COLUMNS:
-            if col_name not in existing:
-                continue
-            op.drop_column(table, col_name)
@@ -1,222 +0,0 @@
-# -*- coding: utf-8 -*-
-"""099: AI 模型路由层 seed — 补齐缺失模型和能力配置.
-
-幂等：所有 INSERT 先检查存在性。
- ai_models: 补齐 qwen3.7-plus, seedream, seedance, embedding, wan3.0 等
- ai_capability_configs: 补齐 image_generation, video_generation, embedding
- 更新已有 capability 的 lite_model_id
-"""
-
-import json
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "099_ai_model_router_seed"
-down_revision = "098_viral_video_image_analysis_v5"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    conn = op.get_bind()
-
-    # CI 环境下 ai_models 表可能尚未创建（由 ORM 自动建表，非 migration）
-    # 如果表不存在则跳过 seed，由应用启动时 ORM 建表后首次访问时生效
-    table_check = conn.execute(sa.text("SELECT to_regclass('public.ai_models')")).scalar()
-    if not table_check:
-        # ai_models 表不存在，跳过所有 seed（CI 环境）
-        return
-
-    # ── 1. 补齐 ai_models 缺失记录 ────────────────────────────────────────────
-    existing_models = {
-        row[0]
-        for row in conn.execute(
-            sa.text("SELECT model_key FROM ai_models WHERE deleted_at IS NULL")
-        ).fetchall()
-    }
-
-    # 从已有 active 记录获取 API key（复用，不硬编码）
-    dashscope_key_row = conn.execute(
-        sa.text(
-            "SELECT api_key FROM ai_models WHERE provider='dashscope' AND deleted_at IS NULL AND api_key IS NOT NULL AND api_key != '' LIMIT 1"
-        )
-    ).first()
-    dashscope_key = dashscope_key_row[0] if dashscope_key_row else ""
-
-    volcengine_key_row = conn.execute(
-        sa.text(
-            "SELECT api_key FROM ai_models WHERE provider='volcengine' AND deleted_at IS NULL AND api_key IS NOT NULL AND api_key != '' LIMIT 1"
-        )
-    ).first()
-    volcengine_key = volcengine_key_row[0] if volcengine_key_row else ""
-
-    new_models = [
-        {
-            "model_key": "qwen3.7-plus",
-            "name": "通义千问3.7 Plus（VLM 兜底）",
-            "provider": "dashscope",
-            "api_key": dashscope_key,
-            "api_base": "https://dashscope.aliyuncs.com/compatible-mode/v1",
-            "description": "阿里云百炼 Qwen3.7 Plus 多模态模型，用于 VLM 兜底分析",
-        },
-        {
-            "model_key": "doubao-seedream-5-0-flash-260915",
-            "name": "Seedream 5.0 Flash（图片生成）",
-            "provider": "volcengine",
-            "api_key": volcengine_key,
-            "api_base": "https://ark.cn-beijing.volces.com/api/v3",
-            "description": "火山引擎 Seedream 5.0 Flash 文生图模型",
-        },
-        {
-            "model_key": "doubao-seedance-2-5-260628",
-            "name": "Seedance 2.5（视频生成）",
-            "provider": "volcengine",
-            "api_key": volcengine_key,
-            "api_base": "https://ark.cn-beijing.volces.com/api/v3",
-            "description": "火山引擎 Seedance 2.5 图/文生视频模型",
-        },
-        {
-            "model_key": "doubao-embedding-vision-251215",
-            "name": "豆包多模态向量嵌入",
-            "provider": "volcengine",
-            "api_key": volcengine_key,
-            "api_base": "https://ark.cn-beijing.volces.com/api/v3",
-            "description": "火山引擎豆包多模态向量嵌入模型",
-        },
-        {
-            "model_key": "wan3.0-video",
-            "name": "Wan 3.0 视频生成",
-            "provider": "dashscope",
-            "api_key": dashscope_key,
-            "api_base": "https://dashscope.aliyuncs.com/api/v1",
-            "description": "阿里云百炼 Wan 3.0 视频生成模型",
-        },
-        {
-            "model_key": "doubao-seed-2-1-pro-260915",
-            "name": "豆包 Seed 2.1 Pro（高精度推理）",
-            "provider": "volcengine",
-            "api_key": volcengine_key,
-            "api_base": "https://ark.cn-beijing.volces.com/api/v3",
-            "description": "火山引擎豆包 Seed 2.1 Pro 深度思考+多模态",
-        },
-    ]
-
-    for m in new_models:
-        if m["model_key"] not in existing_models:
-            conn.execute(
-                sa.text(
-                    """
-                    INSERT INTO ai_models (id, name, provider, model_key, api_key, api_base, description, status, is_default, usage_today, created_at, updated_at)
-                    VALUES (gen_random_uuid()::text, :name, :provider, :model_key, :api_key, :api_base, :description, 'active', false, 0, now(), now())
-                    """
-                ),
-                m,
-            )
-
-    # ── 2. 补齐 ai_capability_configs 缺失项 ──────────────────────────────────
-    cap_table_check = conn.execute(sa.text("SELECT to_regclass('public.ai_capability_configs')")).scalar()
-    if not cap_table_check:
-        return
-
-    existing_caps = {
-        row[0]
-        for row in conn.execute(
-            sa.text("SELECT capability_key FROM ai_capability_configs")
-        ).fetchall()
-    }
-
-    def _get_model_id(model_key: str) -> str | None:
-        row = conn.execute(
-            sa.text(
-                "SELECT id FROM ai_models WHERE model_key = :key AND deleted_at IS NULL AND status = 'active' LIMIT 1"
-            ),
-            {"key": model_key},
-        ).first()
-        return row[0] if row else None
-
-    # image_generation
-    if "image_generation" not in existing_caps:
-        mid = _get_model_id("doubao-seedream-5-0-flash-260915")
-        if mid:
-            conn.execute(
-                sa.text(
-                    """
-                    INSERT INTO ai_capability_configs (id, capability_key, capability_name, primary_model_id, timeout_seconds, max_retries, concurrency, extra_params, is_enabled, created_at, updated_at)
-                    VALUES (gen_random_uuid()::text, :ck, :cn, :pm, 60, 1, 2, :ep, true, now(), now())
-                    """
-                ),
-                {
-                    "ck": "image_generation",
-                    "cn": "图片生成（Seedream）",
-                    "pm": mid,
-                    "ep": json.dumps({"size": "1K"}),
-                },
-            )
-
-    # video_generation
-    if "video_generation" not in existing_caps:
-        mid = _get_model_id("doubao-seedance-2-5-260628")
-        fb_mid = _get_model_id("wan3.0-video")
-        if mid:
-            conn.execute(
-                sa.text(
-                    """
-                    INSERT INTO ai_capability_configs (id, capability_key, capability_name, primary_model_id, fallback_model_id, timeout_seconds, max_retries, concurrency, extra_params, is_enabled, created_at, updated_at)
-                    VALUES (gen_random_uuid()::text, :ck, :cn, :pm, :fm, 600, 1, 1, :ep, true, now(), now())
-                    """
-                ),
-                {
-                    "ck": "video_generation",
-                    "cn": "视频生成（Seedance/Wan）",
-                    "pm": mid,
-                    "fm": fb_mid,
-                    "ep": json.dumps({}),
-                },
-            )
-
-    # embedding
-    if "embedding" not in existing_caps:
-        mid = _get_model_id("doubao-embedding-vision-251215")
-        if mid:
-            conn.execute(
-                sa.text(
-                    """
-                    INSERT INTO ai_capability_configs (id, capability_key, capability_name, primary_model_id, timeout_seconds, max_retries, concurrency, extra_params, is_enabled, created_at, updated_at)
-                    VALUES (gen_random_uuid()::text, :ck, :cn, :pm, 30, 2, 5, :ep, true, now(), now())
-                    """
-                ),
-                {
-                    "ck": "embedding",
-                    "cn": "向量嵌入",
-                    "pm": mid,
-                    "ep": json.dumps({}),
-                },
-            )
-
-    # ── 3. 更新 image_analysis 的 lite_model_id ─────────────────────────────
-    lite_model_id = _get_model_id("qwen3.8-flash")
-    if lite_model_id:
-        conn.execute(
-            sa.text(
-                "UPDATE ai_capability_configs SET lite_model_id = :lite WHERE capability_key = 'image_analysis' AND lite_model_id IS NULL"
-            ),
-            {"lite": lite_model_id},
-        )
-
-
-def downgrade() -> None:
-    conn = op.get_bind()
-    # 安全检查表是否存在
-    table_check = conn.execute(sa.text("SELECT to_regclass('public.ai_models')")).scalar()
-    if not table_check:
-        return
-    conn.execute(
-        sa.text("DELETE FROM ai_capability_configs WHERE capability_key IN ('image_generation', 'video_generation', 'embedding')")
-    )
-    conn.execute(
-        sa.text(
-            "DELETE FROM ai_models WHERE model_key IN ('qwen3.7-plus', 'doubao-seedream-5-0-flash-260915', 'doubao-seedance-2-5-260628', 'doubao-embedding-vision-251215', 'wan3.0-video', 'doubao-seed-2-1-pro-260915') AND deleted_at IS NULL"
-        )
-    )
@@ -1,107 +0,0 @@
-# -*- coding: utf-8 -*-
-"""100: 修正已有 capability 的模型绑定.
-
-幂等：仅当 primary_model_id 当前绑定到旧模型 (doubao-seed-1-6) 时才更新，
-避免覆盖用户在后台的自定义配置。
-
- 更新 5 个 LLM capability (intent_parsing, copy_fusion, storyboard, copy_review, asset_classify)
-  的 primary_model_id 从 doubao-seed-1-6 改为 doubao-seed-2-1-pro-260915
- 更新 image_analysis 的 primary/lite/fallback 模型绑定
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "100_fix_capability_model_bindings"
-down_revision = "099_ai_model_router_seed"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    conn = op.get_bind()
-
-    # Check tables exist
-    table_check = conn.execute(sa.text("SELECT to_regclass('public.ai_models')")).scalar()
-    if not table_check:
-        return
-
-    config_table_check = conn.execute(sa.text("SELECT to_regclass('public.ai_capability_configs')")).scalar()
-    if not config_table_check:
-        return
-
-    # Look up model IDs by model_key (not hardcoded UUIDs)
-    pro_model_row = conn.execute(
-        sa.text(
-            "SELECT id FROM ai_models WHERE model_key = 'doubao-seed-2-1-pro-260915' AND deleted_at IS NULL LIMIT 1"
-        )
-    ).first()
-    if not pro_model_row:
-        return
-    pro_model_id = pro_model_row[0]
-
-    old_model_row = conn.execute(
-        sa.text("SELECT id FROM ai_models WHERE model_key = 'doubao-seed-1-6-250615' LIMIT 1")
-    ).first()
-    old_model_id = old_model_row[0] if old_model_row else None
-
-    llm_capabilities = [
-        "intent_parsing",
-        "copy_fusion",
-        "storyboard",
-        "copy_review",
-        "asset_classify",
-    ]
-
-    for cap_key in llm_capabilities:
-        if old_model_id:
-            conn.execute(
-                sa.text(
-                    "UPDATE ai_capability_configs SET primary_model_id = :new_id, updated_at = NOW() "
-                    "WHERE capability_key = :cap_key AND primary_model_id = :old_id"
-                ),
-                {"new_id": pro_model_id, "old_id": old_model_id, "cap_key": cap_key},
-            )
-
-    # Update image_analysis
-    qwen38_row = conn.execute(
-        sa.text("SELECT id FROM ai_models WHERE model_key = 'qwen3.8-flash' AND deleted_at IS NULL LIMIT 1")
-    ).first()
-    qwen37_row = conn.execute(
-        sa.text("SELECT id FROM ai_models WHERE model_key = 'qwen3.7-plus' AND deleted_at IS NULL LIMIT 1")
-    ).first()
-
-    if qwen38_row and qwen37_row:
-        qwen38_id = qwen38_row[0]
-        qwen37_id = qwen37_row[0]
-
-        current_ia = conn.execute(
-            sa.text(
-                "SELECT primary_model_id, lite_model_id, fallback_model_id "
-                "FROM ai_capability_configs WHERE capability_key = 'image_analysis'"
-            )
-        ).first()
-
-        if current_ia:
-            current_primary, current_lite, current_fallback = current_ia
-            updates = {}
-            if current_primary != qwen38_id:
-                updates["primary_model_id"] = qwen38_id
-            if current_lite != qwen38_id:
-                updates["lite_model_id"] = qwen38_id
-            if current_fallback != qwen37_id:
-                updates["fallback_model_id"] = qwen37_id
-
-            if updates:
-                set_clause = ", ".join([f"{k} = :{k}" for k in updates.keys()])
-                set_clause += ", updated_at = NOW()"
-                updates["cap_key"] = "image_analysis"
-                conn.execute(
-                    sa.text(f"UPDATE ai_capability_configs SET {set_clause} WHERE capability_key = :cap_key"),
-                    updates,
-                )
-
-
-def downgrade() -> None:
-    pass
@@ -1,153 +0,0 @@
-# -*- coding: utf-8 -*-
-"""101: 补齐 qwen-vl-plus 视觉模型并修正 image_analysis 绑定与 max_tokens.
-
-背景：
- qwen-vl-plus 做图片识别时返回 JSON 约 500-600 tokens，旧硬编码
-  max_tokens=350 导致 JSON 被截断、解析失败返回"未识别"。
- 代码侧已移除硬编码，改由 capability 的 DB 配置决定 max_tokens。
-
-幂等：
- qwen-vl-plus 已存在则不插入；
- 仅当 image_analysis 当前 primary_model 不是 qwen-vl-plus 时才更新绑定，
-  避免覆盖后台手动配置。
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "101_qwen_vl_plus_and_max_tokens"
-down_revision = "100_fix_capability_model_bindings"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    conn = op.get_bind()
-
-    models_table = conn.execute(sa.text("SELECT to_regclass('public.ai_models')")).scalar()
-    if not models_table:
-        return
-
-    caps_table = conn.execute(sa.text("SELECT to_regclass('public.ai_capability_configs')")).scalar()
-    if not caps_table:
-        return
-
-    # ── c. 补全其他 capability 的 max_tokens 默认值（幂等）──────────────────
-    # 放在 image_analysis 特定逻辑之前，确保任何分支 return 都不会跳过本段。
-    # 仅在当前值为 NULL 或过小 (<100) 时更新，不覆盖已有合理配置。
-    # embedding / tts / voice_clone 不走 chat 接口，无需设置。
-    default_max_tokens = {
-        "intent_parsing": 500,
-        "copy_fusion": 2500,
-        "storyboard": 4000,
-        "copy_review": 1000,
-        "asset_classify": 500,
-        "image_generation": 500,
-        "video_generation": 500,
-    }
-    for cap_key, mt in default_max_tokens.items():
-        conn.execute(
-            sa.text(
-                "UPDATE ai_capability_configs "
-                "SET max_tokens = :mt, updated_at = now() "
-                "WHERE capability_key = :key "
-                "AND (max_tokens IS NULL OR max_tokens < 100)"
-            ),
-            {"mt": mt, "key": cap_key},
-        )
-
-    # ── a. 确保 qwen-vl-plus 模型存在 ────────────────────────────────────────
-    conn.execute(sa.text("""
-            INSERT INTO ai_models (id, name, provider, model_key, api_key, api_base,
-                                   description, status, is_default, usage_today,
-                                   created_at, updated_at)
-            SELECT gen_random_uuid()::text,
-                   '通义千问VL Plus',
-                   'dashscope',
-                   'qwen-vl-plus',
-                   COALESCE(
-                       (SELECT api_key FROM ai_models
-                        WHERE provider = 'dashscope' AND deleted_at IS NULL
-                          AND api_key IS NOT NULL AND api_key != ''
-                        LIMIT 1),
-                       ''
-                   ),
-                   'https://dashscope.aliyuncs.com/compatible-mode/v1',
-                   '阿里云视觉理解模型（图片识别/分析）',
-                   'active', false, 0, now(), now()
-            WHERE NOT EXISTS (
-                SELECT 1 FROM ai_models
-                WHERE model_key = 'qwen-vl-plus' AND deleted_at IS NULL
-            )
-            """))
-
-    qwen_vl_row = conn.execute(
-        sa.text(
-            "SELECT id FROM ai_models WHERE model_key = 'qwen-vl-plus' "
-            "AND deleted_at IS NULL AND status = 'active' LIMIT 1"
-        )
-    ).first()
-    if not qwen_vl_row:
-        return
-    qwen_vl_id = qwen_vl_row[0]
-
-    qwen37_row = conn.execute(
-        sa.text(
-            "SELECT id FROM ai_models WHERE model_key = 'qwen3.7-plus' "
-            "AND deleted_at IS NULL AND status = 'active' LIMIT 1"
-        )
-    ).first()
-    qwen37_id = qwen37_row[0] if qwen37_row else None
-
-    # ── b. 仅当当前 primary 不是 qwen-vl-plus 时修正绑定与 max_tokens ───────
-    current = conn.execute(
-        sa.text(
-            "SELECT primary_model_id, lite_model_id, fallback_model_id, max_tokens "
-            "FROM ai_capability_configs WHERE capability_key = 'image_analysis'"
-        )
-    ).first()
-
-    if current is None:
-        # capability 不存在则创建
-        conn.execute(
-            sa.text("""
-                INSERT INTO ai_capability_configs
-                    (id, capability_key, capability_name, primary_model_id,
-                     lite_model_id, fallback_model_id, timeout_seconds,
-                     max_retries, max_tokens, concurrency, extra_params,
-                     is_enabled, created_at, updated_at)
-                VALUES (gen_random_uuid()::text, 'image_analysis', '图片分析',
-                        :primary, :primary, :fallback, 30, 1, 1000, 2,
-                        '{}'::jsonb, true, now(), now())
-                """),
-            {"primary": qwen_vl_id, "fallback": qwen37_id},
-        )
-        return
-
-    current_primary = current[0]
-    if current_primary == qwen_vl_id:
-        # 已经绑定 qwen-vl-plus：视为后台/数据迁移已处理，不覆盖任何配置
-        return
-
-    set_parts = [
-        "primary_model_id = :vl_id",
-        "lite_model_id = :vl_id",
-        "max_tokens = 1000",
-        "updated_at = now()",
-    ]
-    params: dict = {"vl_id": qwen_vl_id}
-    if qwen37_id is not None:
-        set_parts.insert(2, "fallback_model_id = :qwen37_id")
-        params["qwen37_id"] = qwen37_id
-
-    conn.execute(
-        sa.text(
-            "UPDATE ai_capability_configs SET " + ", ".join(set_parts) + " WHERE capability_key = 'image_analysis'"
-        ),
-        params,
-    )
-
-
-def downgrade() -> None:
-    pass
@@ -1,36 +0,0 @@
-# -*- coding: utf-8 -*-
-"""102: image_analysis max_tokens 1200 -> 1500.
-
-v6 prompt 更长、字段更多，旧 max_tokens 容易截断 JSON。
-仅在 image_analysis 当前 max_tokens < 1500 时更新（幂等，不覆盖后台已调到 >=1500 的配置）。
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "102_image_analysis_max_tokens_1500"
-down_revision = "101_qwen_vl_plus_and_max_tokens"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    conn = op.get_bind()
-
-    caps_table = conn.execute(sa.text("SELECT to_regclass('public.ai_capability_configs')")).scalar()
-    if not caps_table:
-        return
-
-    conn.execute(
-        sa.text(
-            "UPDATE ai_capability_configs "
-            "SET max_tokens = 1500, updated_at = now() "
-            "WHERE capability_key = 'image_analysis' "
-            "AND (max_tokens IS NULL OR max_tokens < 1500)"
-        )
-    )
-
-
-def downgrade() -> None:
-    pass
@@ -1,194 +0,0 @@
-# -*- coding: utf-8 -*-
-"""image_analysis v7 prompt + max_tokens 3000 + max_retries 3
-
-Revision ID: 103_v7_prompt_and_tokens_3000
-Revises: 102_image_analysis_max_tokens_1500
-Create Date: 2026-10-07
-
-变更：
-1. 插入v7精简prompt（~1KB，v6 ~4.5KB，删除few-shot/冗长规则，减少输出token占用），设为active
-2. v6停用（is_active=False），保留历史
-3. image_analysis capability: max_tokens 1500→3000，max_retries 1→3
-
-ai_capability_configs 由应用 create_all 创建，全新 alembic-only 库可能不存在，
-故第3步做 to_regclass 守卫（同 102）。
-"""
-
-from sqlalchemy import text
-
-from alembic import op
-
-revision = "103_v7_prompt_and_tokens_3000"
-down_revision = "102_image_analysis_max_tokens_1500"
-branch_labels = None
-depends_on = None
-
-V7_SYSTEM = """# 角色
-你是一位专业的图片分析师，擅长准确识别图片中的场景、人物、物体、文字、氛围。
-
-# 任务
-对用户上传的图片逐张分析，描述你看到的内容，输出JSON格式。
-
-## 技能
-
-### 技能1：判断图片类型
-判断图片属于哪种类型，type字段填对应的英文值：
- 商品图（product）：单个或多个商品、产品包装
- 门店场景图（store）：店铺内部、门头招牌、货架陈列
- 人物图（person）：人物形象、穿搭造型、肖像照片
- 风景图（scene）：风景、动物、美食、街景
- 其他（other）：以上都不是
-
-### 技能2：描述通用信息
-不管什么图都要描述：
- type：图片类型，填product/store/person/scene/other其中一个
- scene：一句话描述场景，例如"理疗养生店内部，摆着多张理疗床和产品货架"
- mood：整体氛围，2-4个词，例如"整洁专业"、"热闹温馨"
- colors：主要颜色，最多5个，写具体颜色名（亮红色/米白色/深蓝色，不写笼统的红色蓝色）
- visible_text：图片里看到的文字，说明什么字、在什么位置，最多5条；没看到就空数组
- lighting：光线情况，例如"明亮柔光"、"自然光"、"室内暖黄灯"
- composition：怎么拍的，例如"居中特写"、"中景平视"、"俯拍"
- has_person：有没有人，true或false
-
-### 技能3：描述门店场景
-如果是门店场景图（type="store"），还要描述：
- store_type：什么类型的店，例如"养生馆"、"便利店"、"餐饮店"、"母婴店"
- brand_signage：招牌上写了什么字、有什么品牌标识
- visual_elements：看到哪些显眼的东西（招牌样式、灯光、货架、商品陈列、海报、收银台等），最多8个
- product_categories：看到哪些品类的商品，例如"饮料零食"、"养生产品"
- promotion_elements：有没有促销活动（打折海报、满减吊旗等），没有就空数组
- atmosphere：店内什么氛围，例如"亲民生活化"、"老字号专业感"
- cleanliness：店内干净程度，例如"干净整洁"、"货架整齐"
- 看到顾客或店员要描述他们在做什么，has_person填true
-
-### 技能4：描述商品
-如果是商品图（type="product"），逐个商品描述：
- product_name：商品名称，尽量具体，例如"OMO奥妙除菌除螨洗衣液"；看不出来填null
- brand：什么牌子，看不出来填null
- category：类目，从以下选一个：服饰鞋包/美妆/数码/食品/家居清洁/母婴/配饰/其他
- package_type：什么包装，例如"瓶装"、"盒装"、"罐装"、"袋装"、"多瓶装"
- package_color：包装主要颜色，写具体色（亮红色不写红色）
- body_shape：瓶身或包装形状，例如"圆润胖瓶"、"竖款带把手瓶身"
- label_design：标签设计，例如"红色标签印白色品牌logo"
- key_text_on_package：包装上最显眼的文字（品牌名、功能词、卖点词），最多5个
- product_features：包装特征，3-6个短语，包含颜色、瓶盖、形状、标签图案
- key_selling_points：核心卖点，1-3个短语
-
-### 技能5：描述人物
-如果是人物图（type="person"），描述：
- person_count：几个人
- gender：性别（男/女/无法判断）
- age_range：年龄段（儿童/青少年/青年/中年/老年/无法判断）
- outfit_style：穿搭风格，例如"休闲日常"、"通勤商务"、"街头潮流"
- upper_wear：上装（颜色+款式+材质），穿裙装不填
- lower_wear：下装（颜色+款式+版型），穿裙装不填
- dress_wear：裙装描述，穿上下装不填
- outerwear：外套
- shoes：鞋子
- bag：包袋，没有填null
- accessories：配饰（眼镜/帽子/项链/耳环/手表/手链/围巾/腰带等），没有填空数组
- hairstyle：发型
- makeup：妆容，男生或看不出填null
- expression：表情，例如"微笑看镜头"、"冷酷无表情"
- pose：姿势动作，例如"身直立正对镜头"、"单手撩发"
- body_type：身材，例如"纤细苗条"、"高挑身材"、"丰满匀称"
- portrait_prompt：80-150字详细描述人物形象（后面用来AI生成肖像图），要写清年龄段、穿搭完整细节、发型发色、妆容、表情、姿势、场景、光线、风格感觉，语言要有画面感
-
-### 技能6：描述风景
-如果是风景图（type="scene"），描述：
- scene_type：什么场景，例如"自然风景"、"城市街景"、"动物"、"美食"
- main_subject：画面主体是什么
- key_elements：关键元素，最多8个
- environment_objects：周围环境物体，最多8个
- atmosphere：整体氛围，例如"秋日慵懒氛围感"、"清新自然氧气感"
- 有人物就描述人物特征
-
-## 限制
- 只输出JSON，不要任何解释文字，不要markdown代码块包裹，不要写"好的""以下是分析结果"这种废话
- 颜色写具体色调（亮红色/米白色/深蓝色/翠绿色），不写笼统词汇
- 瓶身、包装、招牌上的文字尽量识别出来（品牌名、功能词、卖点词）
- 多个商品、多个人物分开描述，不要合并
- 看不出来、不确定的字段填null或空数组，布尔值填true/false，绝对不要瞎编
- 确保JSON格式合法，所有大括号、中括号、引号正确闭合
- 数组字段控制数量：colors最多5个，visible_text最多5条，visual_elements最多8个，accessories最多10个"""
-V7_USER = "请分析这张图片，按系统消息的JSON结构输出。"
-
-
-def _capability_table_exists(bind) -> bool:
-    return bool(bind.execute(text("SELECT to_regclass('public.ai_capability_configs')")).scalar())
-
-
-def upgrade() -> None:
-    bind = op.get_bind()
-    # 1. 停用旧的active image_analysis prompt（含v6）
-    bind.execute(
-        text(
-            "UPDATE viral_video_prompt_templates SET is_active = FALSE "
-            "WHERE prompt_type = 'image_analysis' AND is_active = TRUE"
-        )
-    )
-    # 2. 幂等插入v7（存在则更新并重新激活）
-    existing = bind.execute(
-        text("SELECT id FROM viral_video_prompt_templates " "WHERE prompt_type = 'image_analysis' AND version = 7")
-    ).fetchone()
-    if existing:
-        bind.execute(
-            text(
-                "UPDATE viral_video_prompt_templates SET is_active = TRUE, "
-                "system_prompt = :sys, user_prompt_template = :usr, "
-                "name = 'v7 精简结构化分析', updated_at = NOW() "
-                "WHERE prompt_type = 'image_analysis' AND version = 7"
-            ),
-            {"sys": V7_SYSTEM, "usr": V7_USER},
-        )
-    else:
-        bind.execute(
-            text(
-                "INSERT INTO viral_video_prompt_templates "
-                "(prompt_type, version, name, system_prompt, user_prompt_template, "
-                "is_active, created_at, updated_at) "
-                "VALUES ('image_analysis', 7, 'v7 精简结构化分析', "
-                ":sys, :usr, TRUE, NOW(), NOW())"
-            ),
-            {"sys": V7_SYSTEM, "usr": V7_USER},
-        )
-    # 3. capability max_tokens=3000、max_retries=3（表不存在则跳过）
-    if _capability_table_exists(bind):
-        bind.execute(
-            text(
-                "UPDATE ai_capability_configs SET max_tokens = 3000, "
-                "updated_at = NOW() "
-                "WHERE capability_key = 'image_analysis' AND "
-                "(max_tokens IS NULL OR max_tokens < 3000)"
-            )
-        )
-        bind.execute(
-            text(
-                "UPDATE ai_capability_configs SET max_retries = 3, updated_at = NOW() "
-                "WHERE capability_key = 'image_analysis' AND "
-                "(max_retries IS NULL OR max_retries < 3)"
-            )
-        )
-
-
-def downgrade() -> None:
-    bind = op.get_bind()
-    # 删除v7
-    bind.execute(
-        text("DELETE FROM viral_video_prompt_templates " "WHERE prompt_type = 'image_analysis' AND version = 7")
-    )
-    # 恢复v6为active
-    bind.execute(
-        text(
-            "UPDATE viral_video_prompt_templates SET is_active = TRUE "
-            "WHERE prompt_type = 'image_analysis' AND version = 6"
-        )
-    )
-    # tokens/retries回退
-    if _capability_table_exists(bind):
-        bind.execute(
-            text(
-                "UPDATE ai_capability_configs SET max_tokens = 1500, max_retries = 1, "
-                "updated_at = NOW() WHERE capability_key = 'image_analysis'"
-            )
-        )
@@ -1,32 +1,16 @@
-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.clips_standalone import router as clips_standalone_router
-from app.api.routes.cover_templates import router as cover_templates_router
-from app.api.routes.drafts_standalone import router as drafts_standalone_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.gpu_lipsync import router as gpu_lipsync_router
-from app.api.routes.gpu_relay import router as gpu_relay_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.points import router as points_router
-from app.api.routes.points import usage_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.scripts_ai import router as scripts_ai_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
 from app.api.routes.task_center import router as task_center_router
@@ -36,7 +20,6 @@ from app.api.routes.titles import router as titles_router
 from app.api.routes.tts import router as tts_router
 from app.api.routes.upload import router as upload_router
 from app.api.routes.videos import router as videos_router
-from app.api.routes.viral_video import router as viral_video_router
 from app.api.routes.voice_clones import router as voice_clones_router
 from app.api.routes.voices import router as voices_router
 from fastapi import APIRouter
@@ -45,28 +28,10 @@ api_router = APIRouter(prefix="/api/v1")
 health_router = APIRouter()
 health_router.include_router(health_check_router)

-# ── /api/health 别名：部分前端/探针把 health 放在 /api 前缀下 ──────────────
-# 原来 /health 在根路径；额外加一个 /api/health 别名避免 404。
-api_health_router = APIRouter(prefix="/api")
-api_health_router.include_router(health_check_router)
-health_router.include_router(api_health_router)
-
-# ── 旧前端路径别名（无需 template_id 路径参数）────────────────────────────
-# /api/v1/clips/from-assets 已有 clips_standalone；此处额外挂 /api/v1/editor/*，
-# 解决前端调 /api/v1/editor/clips/from-assets 和 /api/v1/editor/drafts 的 404。
-editor_legacy_router = APIRouter(prefix="/editor", tags=["Editor Legacy Alias"])
-editor_legacy_router.include_router(clips_standalone_router)
-editor_legacy_router.include_router(drafts_standalone_router)
-
 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",
@@ -77,10 +42,6 @@ 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"],
@@ -124,21 +85,6 @@ 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",
@@ -158,10 +104,6 @@ api_router.include_router(
    videos_router,
    tags=["VideoCenter"],
 )
-api_router.include_router(
-    share_router,
-    tags=["Share"],
-)
 api_router.include_router(
    duplication_router,
    prefix="/duplication",
@@ -177,28 +119,16 @@ api_router.include_router(
    prefix="/templates",
    tags=["Template"],
 )
-api_router.include_router(
-    clips_standalone_router,
-    tags=["Clips"],
-)
 api_router.include_router(
    templates_editor_router,
    prefix="/templates/{template_id}/editor",
    tags=["TemplateEditor"],
 )
-api_router.include_router(
-    editor_legacy_router,
-)
 api_router.include_router(
    tts_router,
    prefix="/tts",
    tags=["TTS"],
 )
-api_router.include_router(
-    ai_router,
-    prefix="/ai",
-    tags=["AI"],
-)
 api_router.include_router(
    feature_flags_router,
    tags=["Internal"],
@@ -207,38 +137,3 @@ api_router.include_router(
    internal_render_router,
    tags=["Internal"],
 )
-api_router.include_router(
-    gpu_relay_router,
-    tags=["GpuRelay"],
-)
-api_router.include_router(
-    scripts_router,
-    prefix="/scripts",
-    tags=["ScriptLibrary"],
-)
-api_router.include_router(
-    scripts_ai_router,
-    prefix="/scripts",
-    tags=["ScriptLibrary AI"],
-)
-api_router.include_router(
-    ai_avatar_render_router,
-    prefix="/ai-avatar/render",
-    tags=["AI Avatar Render"],
-)
-api_router.include_router(
-    points_router,
-    prefix="/points",
-    tags=["Points"],
-)
-api_router.include_router(
-    usage_router,
-    prefix="/usage",
-    tags=["Usage"],
-)
-api_router.include_router(
-    gpu_lipsync_router,
-    prefix="/gpu",
-    tags=["GPU Worker"],
-)
-api_router.include_router(viral_video_router, prefix="/viral-video", tags=["爆款视频"])
@@ -1,91 +0,0 @@
-"""默认模板兜底共享逻辑（P0 #1922）.
-
-提供 get_or_create_default_template_id(db, user_id) 共享函数，
-供 templates.py 列表查询、clips_standalone.py 独立端点、dependencies.py
-resolve_draft_plan_id 三处复用，避免三处各写一套兜底逻辑产生分叉。
-
-根因：PR#1918 清理模板管理 API 时误删了 GET /templates 自动创建默认模板
-兜底，前端 PR#1913 去掉空 tid 拦截后首次进入生成页拼出
-/templates//editor/clips/from-assets（双斜杠）→ FastAPI 404，阻断新用户首次
-生成。
-"""
-
-from __future__ import annotations
-
-import logging
-from typing import Optional
-
-from sqlalchemy.orm import Session
-
-logger = logging.getLogger(__name__)
-
-
-def get_or_create_default_template_id(db: Session, user_id: str) -> Optional[str]:
-    """获取或自动创建默认配音模板的 id。
-
-    判定逻辑（不做异常降级，只有确实创建失败时才回滚重查）：
-    1. 查用户名下 is_active=True 且有 TemplateClipConfig 的模板 → 返回其 id；
-    2. 无则调用 CreateTemplateUseCase 创建一条默认 voice_over 模板；
-    3. 创建异常时 rollback 再重查一次（防并发唯一键冲突），重查仍无返回 None。
-    """
-    from packages.adapters.sqlalchemy_impl.models import (
-        TemplateClipConfigModel,
-        TemplateModel,
-    )
-    from packages.adapters.sqlalchemy_impl.template_repository import (
-        SQLAlchemyTemplateRepository,
-    )
-    from packages.application.template.commands import (
-        CreateTemplateCommand,
-        SegmentCommand,
-    )
-    from packages.application.template.use_cases import CreateTemplateUseCase
-
-    existing = (
-        db.query(TemplateModel)
-        .filter(TemplateModel.user_id == user_id, TemplateModel.is_active.is_(True))
-        .order_by(TemplateModel.created_at.asc())
-        .first()
-    )
-    if existing is not None:
-        has_seg = (
-            db.query(TemplateClipConfigModel.id).filter(TemplateClipConfigModel.template_id == existing.id).first()
-        )
-        if has_seg:
-            return existing.id
-
-    try:
-        repo = SQLAlchemyTemplateRepository(db)
-        cmd = CreateTemplateCommand(
-            user_id=user_id,
-            name="默认配音模板",
-            mode="voice_over",
-            category="default",
-            tags=[],
-            title_config={},
-            subtitle_config={},
-            bgm_config={},
-            estimated_duration=0.0,
-            segments=[SegmentCommand(segment_order=0, duration_min=1.0, duration_max=30.0)],
-        )
-        tpl = CreateTemplateUseCase(repo).execute(cmd)
-        db.commit()
-        logger.info("auto-created default voice_over template: id=%s user=%s", tpl.id, user_id)
-        return tpl.id
-    except Exception:
-        db.rollback()
-        # 重查：可能并发请求已建好
-        existing = (
-            db.query(TemplateModel)
-            .filter(TemplateModel.user_id == user_id, TemplateModel.is_active.is_(True))
-            .order_by(TemplateModel.created_at.asc())
-            .first()
-        )
-        if existing is not None:
-            has_seg = (
-                db.query(TemplateClipConfigModel.id).filter(TemplateClipConfigModel.template_id == existing.id).first()
-            )
-            if has_seg:
-                return existing.id
-        logger.exception("failed to auto-create default template user=%s", user_id)
-        return None
@@ -1,6 +1,6 @@
 """路由层共享辅助函数 — 消除跨文件重复定义。"""

-from datetime import UTC, datetime
+from datetime import datetime, timezone
 from typing import Any

 from fastapi import HTTPException, status
@@ -25,27 +25,12 @@ def check_project_access(project_id: str, user_id: str, project_repository) -> N
        raise HTTPException(status_code=403, detail="无权访问该项目")


-_LEGACY_PLANS = {"standard", "pro", "enterprise", "basic", "premium"}
-
-
 def get_user_plan(user_id: str, user_repository: UserRepository) -> str:
-    """获取用户的会员类型，兼容旧档位值。
-
-    旧档位 standard/pro/enterprise/basic/premium 统一映射到当前体系：
-    - standard/basic → monthly
-    - pro/premium/enterprise → quarterly
-    """
+    """获取用户的订阅计划名称。"""
    user = user_repository.find_by_id(user_id)
    if user is None:
        return "free"
-    plan = getattr(user, "subscription_plan", "free") or "free"
-    if plan in {"standard", "basic"}:
-        return "monthly"
-    if plan in {"pro", "premium", "enterprise"}:
-        return "quarterly"
-    if plan not in {"free", "monthly", "quarterly", "yearly"}:
-        return "free"
-    return plan
+    return getattr(user, "subscription_plan", "free") or "free"


 def require_project_and_library(
@@ -153,4 +138,4 @@ def format_utc_datetime(dt: datetime | None) -> str:
        return dt
    if dt.tzinfo is None:
        return dt.isoformat() + "Z"
-    return dt.astimezone(UTC).isoformat().replace("+00:00", "Z")
+    return dt.astimezone(timezone.utc).isoformat().replace("+00:00", "Z")
@@ -1,136 +0,0 @@
-"""AI 相关接口 — 智能标题、智能素材匹配等.
-
-基于豆包大模型的 AI 能力接口，未配置 API Key 时自动降级为本地模拟。
-"""
-
-from __future__ import annotations
-
-from typing import Literal
-
-from app.services.ai_service import TITLE_STYLES, generate_smart_titles, semantic_match_assets
-from fastapi import APIRouter
-from pydantic import BaseModel, Field
-
-router = APIRouter()
-
-
-# ── 请求/响应模型 ────────────────────────────────────────────────────────────
-
-
-class GenerateTitlesRequest(BaseModel):
-    """智能标题生成请求."""
-
-    description: str = Field(..., min_length=1, max_length=500, description="视频内容描述")
-    style: Literal["viral", "emotional", "informative"] = Field(
-        default="viral",
-        description="标题风格：viral爆款 / emotional情感 / informative信息",
-    )
-    count: int = Field(default=5, ge=3, le=10, description="生成数量，3-10个")
-
-
-class GenerateTitlesResponse(BaseModel):
-    """智能标题生成响应."""
-
-    titles: list[str] = Field(..., description="生成的标题列表")
-    style: str = Field(..., description="实际使用的风格")
-    source: str = Field(..., description="来源：doubao 或 fallback")
-    description: str = Field(..., description="原始描述")
-
-
-class TitleStyleInfo(BaseModel):
-    """标题风格信息."""
-
-    key: str
-    name: str
-    description: str
-
-
-# ── 素材语义匹配 ────────────────────────────────────────────────────────────
-
-
-class AssetMatchItem(BaseModel):
-    """待匹配素材项."""
-
-    id: str = Field(..., description="素材ID")
-    name: str = Field(default="", description="素材名称")
-    tags: list[str] = Field(default_factory=list, description="标签列表")
-    description: str = Field(default="", description="素材描述")
-
-
-class SemanticMatchRequest(BaseModel):
-    """语义匹配请求."""
-
-    description: str = Field(..., min_length=1, max_length=500, description="目标视频内容描述")
-    assets: list[AssetMatchItem] = Field(..., min_length=1, max_length=100, description="待匹配素材列表")
-    top_k: int = Field(default=0, ge=0, le=100, description="返回前K个，0返回全部")
-
-
-class SemanticMatchResultItem(AssetMatchItem):
-    """匹配结果项."""
-
-    match_score: float = Field(..., description="匹配度评分 0-1")
-    match_reason: str = Field(..., description="匹配方式：doubao_semantic / fallback_keyword / fallback_default")
-
-
-class SemanticMatchResponse(BaseModel):
-    """语义匹配响应."""
-
-    matches: list[SemanticMatchResultItem] = Field(..., description="按匹配度降序排列的素材列表")
-    source: str = Field(..., description="来源：doubao / fallback")
-    description: str = Field(..., description="原始描述")
-    total: int = Field(..., description="输入素材总数")
-
-
-# ── 路由 ────────────────────────────────────────────────────────────────────
-
-
-@router.post("/titles/generate", response_model=GenerateTitlesResponse)
-def generate_titles(request: GenerateTitlesRequest):
-    """生成智能标题.
-
-    根据视频描述生成指定风格的标题，支持爆款、情感、信息三种风格。
-    未配置豆包 API Key 时自动降级为本地规则生成。
-    """
-    result = generate_smart_titles(
-        description=request.description,
-        style=request.style,
-        count=request.count,
-    )
-    return GenerateTitlesResponse(**result)
-
-
-@router.get("/titles/styles", response_model=list[TitleStyleInfo])
-def list_title_styles():
-    """获取支持的标题风格列表."""
-    return [
-        TitleStyleInfo(key=key, name=info["name"], description=info["description"])
-        for key, info in TITLE_STYLES.items()
-    ]
-
-
-@router.post("/assets/match", response_model=SemanticMatchResponse)
-def match_assets(request: SemanticMatchRequest):
-    """智能素材语义匹配.
-
-    根据用户描述，对素材列表做语义匹配并按匹配度排序。
-    未配置豆包 API Key 时自动降级为关键词匹配。
-
-    - 支持最多 100 个素材同时匹配
-    - 返回 match_score (0-1)，按降序排列
-    - top_k 可限制返回数量
-    """
-    # 转为 dict 传给服务层
-    assets_dict = [asset.model_dump() for asset in request.assets]
-
-    result = semantic_match_assets(
-        description=request.description,
-        assets=assets_dict,
-        top_k=request.top_k,
-    )
-
-    return SemanticMatchResponse(
-        matches=[SemanticMatchResultItem(**m) for m in result["matches"]],
-        source=result["source"],
-        description=result["description"],
-        total=result["total"],
-    )
@@ -1,326 +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 datetime import UTC, datetime
-
-from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_db_session
-from app.schemas.ai_avatar_render import (
-    AiAvatarRenderJobResponse,
-    CreateAiAvatarRenderRequest,
-    FinalizeRenderResponse,
-    SmartCoverResponse,
-)
-from app.services.ai_avatar_cover_service import generate_smart_cover
-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),
-    db: Session = Depends(get_db_session),
-):
-    """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.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,
-            cover_title_config=body.cover_title_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 as exc:
-        logger.exception("Celery 任务投递失败（创建）: job_id=%s err=%s", job.id, exc)
-        job.status = "failed"
-        job.error_message = f"任务提交失败：{exc}"
-        job.updated_at = datetime.now(UTC)
-        svc.db.commit()
-        svc.db.refresh(job)
-        return AiAvatarRenderJobResponse.model_validate(job)
-
-    return AiAvatarRenderJobResponse.model_validate(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.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.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.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.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 as exc:
-        logger.exception("Celery 任务投递失败（重试）: job_id=%s err=%s", job.id, exc)
-        job.status = "failed"
-        job.error_message = f"任务提交失败：{exc}"
-        job.updated_at = datetime.now(UTC)
-        svc.db.commit()
-        svc.db.refresh(job)
-        return AiAvatarRenderJobResponse.model_validate(job)
-
-    return AiAvatarRenderJobResponse.model_validate(job)
-
-
-# ── POST /{job_id}/smart-cover — 从最终成片智能抽封面（步骤②）────────
-
-
-@router.post("/{job_id}/smart-cover", response_model=SmartCoverResponse)
-def generate_render_smart_cover(
-    job_id: str,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-):
-    """从最终渲染成片智能抽帧生成封面（MediaKit 抽帧 + 评分选最佳帧 + 转存 OSS）.
-
-    - 必须等渲染任务 completed 后才可调用（否则返回 400）
-    - 生成成功后自动更新 render_job 的 cover_config 与 output_cover_url
-    """
-    from app.services.ai_avatar_render_service import AiAvatarRenderService
-
-    svc = AiAvatarRenderService(db)
-    job = svc.get_render_job(job_id, current_user.user.id)
-    if job is None:
-        raise HTTPException(status_code=404, detail="渲染任务不存在")
-    if job.status != "completed":
-        raise HTTPException(status_code=400, detail="请先完成视频生成")
-    video_url = (job.output_video_url or "").strip()
-    if not video_url:
-        raise HTTPException(status_code=400, detail="渲染成片视频 URL 为空")
-
-    try:
-        # 从最终成片抽帧，帧本身已含标题/B-roll，直接转存 OSS
-        cover_url = generate_smart_cover(video_url, job_id=job_id, max_frames=5)
-    except Exception as exc:
-        logger.error(
-            "渲染成片智能封面生成异常: user=%s render_id=%s video_url=%s err=%s",
-            current_user.user.id,
-            job_id,
-            video_url[:80],
-            exc,
-            exc_info=True,
-        )
-        cover_url = ""
-
-    if not cover_url:
-        return SmartCoverResponse(
-            cover_url="",
-            status="fallback_failed",
-            message="智能抽帧失败（MediaKit 不可用或抽帧异常），请稍后重试",
-        )
-
-    # 更新 render_job 的封面字段（异步写入 DB；失败不影响返回）
-    try:
-        job.cover_config = {
-            **(job.cover_config if isinstance(job.cover_config, dict) else {}),
-            "mode": "auto_frame",
-            "url": cover_url,
-        }
-        job.output_cover_url = cover_url
-        job.updated_at = datetime.now(UTC)
-        db.commit()
-    except Exception as exc:
-        logger.warning("更新 render_job 封面字段失败（不影响返回）: job_id=%s err=%s", job_id, exc)
-
-    logger.info(
-        "渲染成片智能封面生成成功: user=%s render_id=%s cover_url=%s",
-        current_user.user.id,
-        job_id,
-        cover_url[:120],
-    )
-    return SmartCoverResponse(cover_url=cover_url, status="completed")
-
-# ── POST /{job_id}/finalize — 封面选定后正式入库成片库 ────────────────────
-
-
-@router.post("/{job_id}/finalize", response_model=FinalizeRenderResponse)
-def finalize_render_job(
-    job_id: str,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-):
-    """用户完成封面选择后，将视频正式保存到成片库.
-
-    - 必须等渲染任务 completed 后才可调用
-    - 如果已通过 smart-cover/custom-cover 设置了封面，会自动带上
-    - 返回成片库视频ID
-    - 幂等：已 finalize 的任务重复调用会返回 existing 记录
-    """
-    from app.services.ai_avatar_render_service import AiAvatarRenderError, AiAvatarRenderService
-
-    svc = AiAvatarRenderService(db)
-    job = svc.get_render_job(job_id, current_user.user.id)
-    if job is None:
-        raise HTTPException(status_code=404, detail="渲染任务不存在")
-    if job.status != "completed":
-        raise HTTPException(status_code=400, detail="请先完成视频生成")
-
-    # 幂等检查（通过 generation_task_id=job_id 识别，finalize_job 内部也做了一次，这里提前返回简化）
-    from packages.adapters.sqlalchemy_impl.models import GeneratedVideoModel
-
-    existing = (
-        db.query(GeneratedVideoModel)
-        .filter(
-            GeneratedVideoModel.user_id == current_user.user.id,
-            GeneratedVideoModel.generation_task_id == job_id,
-        )
-        .first()
-    )
-    if existing is not None:
-        return FinalizeRenderResponse(
-            video_id=existing.id,
-            cover_url=existing.thumbnail_url or "",
-            status="already_finalized",
-        )
-
-    try:
-        video = svc.finalize_job(job_id, current_user.user.id)
-        return FinalizeRenderResponse(
-            video_id=video.id,
-            cover_url=video.thumbnail_url or job.output_cover_url or "",
-            status="success",
-        )
-    except AiAvatarRenderError as exc:
-        status_map = {
-            "RenderJobNotFound": 404,
-            "RenderNotCompleted": 400,
-            "OutputVideoMissing": 400,
-        }
-        raise HTTPException(
-            status_code=status_map.get(exc.code, 400),
-            detail=str(exc),
-        ) from exc
-    except Exception as exc:
-        logger.error("渲染任务finalize失败: job_id=%s err=%s", job_id, exc, exc_info=True)
-        raise HTTPException(status_code=500, detail=f"保存到成片库失败: {str(exc)}") from exc
@@ -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)
@@ -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
@@ -13,10 +12,10 @@ from typing import Optional
 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_db_session, get_user_repository
-from fastapi import APIRouter, Depends, Header, HTTPException, Request, status
+from app.dependencies import get_auth_email_service, get_auth_session_store, get_user_repository
+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):
@@ -126,7 +108,6 @@ async def register(
    request: RegisterRequest,
    user_repository: UserRepository = Depends(get_user_repository),
    email_service=Depends(get_auth_email_service),
-    db=Depends(get_db_session),
 ) -> RegisterResponse:
    use_case = RegisterUserUseCase(
        user_repository=user_repository,
@@ -144,22 +125,6 @@ async def register(
    if error or response is None:
        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=_translate_auth_error(error))

-    # 新用户注册赠送 50 积分（失败不影响注册）
-    if settings.points_enabled:
-        try:
-            from packages.domain.points_service import PointsService
-            _svc = PointsService()
-            _svc.add_points(
-                user_id=response.user_id,
-                amount=50,
-                source="task_reward",
-                db=db,
-                description="新用户注册赠送",
-            )
-        except Exception as _bonus_err:
-            import logging
-            logging.getLogger(__name__).warning("注册送积分失败: user_id=%s err=%s", response.user_id, _bonus_err)
-
    return RegisterResponse(
        user_id=response.user_id,
        email=response.email,
@@ -307,52 +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

@@ -504,7 +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"""
@@ -512,30 +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)
@@ -554,7 +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
        )

@@ -570,109 +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 ====================


@@ -8,13 +8,12 @@ import json
 import logging
 import shutil
 import tempfile
-from datetime import UTC, datetime, timedelta
+from datetime import datetime, timedelta, timezone
 from pathlib import Path
 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
@@ -156,7 +155,7 @@ def _cleanup_expired_uploads() -> int:
    if not CHUNK_STORAGE_ROOT.exists():
        return 0

-    now = datetime.now(UTC)
+    now = datetime.now(timezone.utc)
    cleaned = 0

    for meta_file in CHUNK_STORAGE_ROOT.glob("*.meta.json"):
@@ -166,7 +165,7 @@ def _cleanup_expired_uploads() -> int:

            expires_at = datetime.fromisoformat(meta["expires_at"])
            if expires_at.tzinfo is None:
-                expires_at = expires_at.replace(tzinfo=UTC)
+                expires_at = expires_at.replace(tzinfo=timezone.utc)

            # Only cleanup uploads that are not actively being uploaded
            if expires_at < now and meta.get("status") != "uploading":
@@ -177,8 +176,8 @@ def _cleanup_expired_uploads() -> int:
                meta_file.unlink()
                cleaned += 1
                logger.info(f"Cleaned up expired upload: {upload_id}")
-        except Exception:
-            logger.exception("Failed to cleanup upload metadata: %s", meta_file)
+        except Exception as e:
+            logger.warning(f"Failed to cleanup upload metadata {meta_file}: {e}")

    return cleaned

@@ -226,7 +225,7 @@ async def init_chunked_upload(

    # Generate upload ID
    upload_id = uuid4().hex
-    now = datetime.now(UTC)
+    now = datetime.now(timezone.utc)
    expires_at = now + timedelta(hours=CHUNK_EXPIRY_HOURS)

    # Create chunk directory
@@ -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"
@@ -421,9 +419,9 @@ async def upload_chunk(
    # Check expiry
    expires_at = datetime.fromisoformat(meta["expires_at"])
    if expires_at.tzinfo is None:
-        expires_at = expires_at.replace(tzinfo=UTC)
+        expires_at = expires_at.replace(tzinfo=timezone.utc)

-    if expires_at < datetime.now(UTC):
+    if expires_at < datetime.now(timezone.utc):
        raise HTTPException(status_code=status.HTTP_410_GONE, detail="Upload has expired")

    # Validate chunk index
@@ -1,90 +0,0 @@
-"""独立的从素材创建片段端点（不依赖 template_id 路径参数）.
-
-POST /api/v1/clips/from-assets
- 与 /api/v1/templates/{template_id}/editor/clips/from-assets 功能一致
- 区别：template_id 从 body 传入（可选），为空时后端自动创建/查找默认模板
- 解决前端首次加载时 templateId 为空导致双斜杠 404 的问题（P0 #1922）
- 内部复用 resolve_draft_plan_id 和 create_clips_from_assets_editor 的核心逻辑
-"""
-
-from __future__ import annotations
-
-import logging
-
-from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_asset_repository, get_db_session
-from app.services.edit_plan_service import EditPlanService
-from app.services.edit_template_service import EditTemplateService
-from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, status
-from sqlalchemy.orm import Session
-
-from packages.adapters.sqlalchemy_impl.asset_repository import SQLAlchemyAssetRepository
-
-from ._default_template import get_or_create_default_template_id
-from .templates_editor.clips import create_clips_from_assets_editor
-from .templates_editor.dependencies import resolve_draft_plan_id
-from .templates_editor.schemas import ClipsFromAssetsRequest, ClipsFromAssetsResponse
-
-logger = logging.getLogger(__name__)
-router = APIRouter(tags=["Clips"])
-
-
-class StandaloneClipsRequest(ClipsFromAssetsRequest):
-    """扩展请求：template_id 可选（不传则后端自动兜底默认模板）。"""
-
-    template_id: str | None = None
-
-
-def _get_editor_services_direct(db: Session) -> tuple[EditTemplateService, EditPlanService]:
-    """直接构造服务实例（非 Depends 版本，供独立端点内部调用）。"""
-    return EditTemplateService(db), EditPlanService(db)
-
-
-@router.post("/clips/from-assets", response_model=ClipsFromAssetsResponse)
-def create_clips_from_assets(
-    body: StandaloneClipsRequest,
-    background_tasks: BackgroundTasks,
-    db: Session = Depends(get_db_session),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    asset_repo: SQLAlchemyAssetRepository = Depends(get_asset_repository),
-) -> ClipsFromAssetsResponse:
-    """从素材批量创建片段（template_id 可选，为空自动兜底）。"""
-    user_id = str(current_user.user.id)
-    services = _get_editor_services_direct(db)
-
-    # 1. 解析/兜底 template_id，拿到 plan_id
-    template_id = (body.template_id or "").strip()
-    if not template_id:
-        template_id = get_or_create_default_template_id(db, user_id)
-        if not template_id:
-            raise HTTPException(
-                status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-                detail="无法自动创建默认模板，请刷新页面重试",
-            )
-    plan_id = resolve_draft_plan_id(
-        template_id=template_id,
-        services=services,
-        current_user=current_user,
-        db=db,
-        auto_create_default=False,  # 上面已兜底过
-    )
-
-    # 2. 构造标准化请求（去除独立端扩展字段），复用原端点核心逻辑
-    core_body = ClipsFromAssetsRequest(
-        asset_ids=body.asset_ids,
-        clip_type=body.clip_type,
-        clip_count=body.clip_count,
-        required_clips_count=body.required_clips_count,
-    )
-
-    # 3. 直接调用原端点函数（此时所有 Depends 依赖已手动传入）
-    return create_clips_from_assets_editor(
-        template_id=template_id,
-        body=core_body,
-        background_tasks=background_tasks,
-        plan_id=plan_id,
-        services=services,
-        asset_repo=asset_repo,
-        db=db,
-        current_user=current_user,
-    )
@@ -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)
@@ -1,102 +0,0 @@
-"""独立的草稿端点（不依赖 template_id 路径参数，兼容旧前端路径）.
-
-提供以下别名端点，与 /api/v1/templates/{template_id}/editor/draft 功能一致：
- GET  /api/v1/editor/drafts   获取草稿详情（template_id 从 query/body/默认模板兜底）
- PUT  /api/v1/editor/drafts   更新草稿（兼容前端 useDraftAutoSave 调用）
-
-根因：前端 useDraftAutoSave 调用 /api/v1/editor/drafts（复数、无 template_id），
-与后端以 template_id 为路径参数的设计不一致，导致 404 并触发 10s timeout。
-本模块参照 clips_standalone.py 的模式，通过默认模板兜底复用 draft.py 的核心逻辑。
-"""
-
-from __future__ import annotations
-
-import logging
-
-from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_db_session
-from app.services.edit_plan_service import EditPlanService
-from app.services.edit_template_service import EditTemplateService
-from fastapi import APIRouter, Depends, HTTPException, Query, status
-from sqlalchemy.orm import Session
-
-from ._default_template import get_or_create_default_template_id
-from .templates_editor.dependencies import resolve_draft_plan_id
-from .templates_editor.draft import get_editor_draft, update_editor_draft
-from .templates_editor.schemas import EditorDraftResponse, EditorUpdateRequest
-
-logger = logging.getLogger(__name__)
-router = APIRouter(tags=["Editor Legacy Alias"])
-
-
-def _resolve_editor_services(db: Session) -> tuple[EditTemplateService, EditPlanService]:
-    return EditTemplateService(db), EditPlanService(db)
-
-
-def _resolve_template_id(
-    template_id: str | None,
-    db: Session,
-    current_user: AuthenticatedUser,
-) -> str:
-    """解析 template_id：query/body 优先，否则兜底默认模板。"""
-    tid = (template_id or "").strip()
-    if tid:
-        return tid
-    user_id = str(current_user.user.id)
-    tid = get_or_create_default_template_id(db, user_id)
-    if not tid:
-        raise HTTPException(
-            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-            detail="无法自动创建默认模板，请刷新页面重试",
-        )
-    return tid
-
-
-@router.get("/drafts", response_model=EditorDraftResponse)
-def get_editor_drafts_alias(
-    template_id: str | None = Query(default=None, description="模板ID，不传则兜底默认模板"),
-    db: Session = Depends(get_db_session),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-) -> EditorDraftResponse:
-    """获取草稿详情（复数路径别名，兼容旧前端调用）。"""
-    tid = _resolve_template_id(template_id, db, current_user)
-    services = _resolve_editor_services(db)
-    plan_id = resolve_draft_plan_id(
-        template_id=tid,
-        services=services,
-        current_user=current_user,
-        db=db,
-        auto_create_default=False,
-    )
-    return get_editor_draft(
-        template_id=tid,
-        plan_id=plan_id,
-        services=services,
-        _=current_user,
-    )
-
-
-@router.put("/drafts", response_model=EditorDraftResponse)
-def update_editor_drafts_alias(
-    req: EditorUpdateRequest,
-    template_id: str | None = Query(default=None, description="模板ID，不传则兜底默认模板"),
-    db: Session = Depends(get_db_session),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-) -> EditorDraftResponse:
-    """更新草稿（复数路径别名，兼容前端 useDraftAutoSave 调用）。"""
-    tid = _resolve_template_id(template_id, db, current_user)
-    services = _resolve_editor_services(db)
-    plan_id = resolve_draft_plan_id(
-        template_id=tid,
-        services=services,
-        current_user=current_user,
-        db=db,
-        auto_create_default=False,
-    )
-    return update_editor_draft(
-        template_id=tid,
-        req=req,
-        plan_id=plan_id,
-        services=services,
-        _=current_user,
-    )
@@ -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,
@@ -1,898 +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, 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.
-
-    #2028: awaiting_cover 状态下 GeneratedVideo 尚未入库，兜底从 task.extra_meta.rendered_output.file_url 读取。
-    """
-    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)
-    # awaiting_cover 兜底：从 extra_meta.rendered_output 取
-    try:
-        task_repo = SQLAlchemyGenerationTaskRepository(db)
-        task = task_repo.get(task_id)
-        if task is not None:
-            _status = task.status.value if hasattr(task.status, "value") else str(task.status)
-            if _status == "awaiting_cover":
-                _meta = getattr(task, "extra_meta", {}) or {}
-                _ro = _meta.get("rendered_output") or {}
-                _url = _ro.get("file_url") or ""
-                if _url:
-                    return _url
-    except Exception:
-        logger.warning("[封面生成] awaiting_cover 兜底读取失败: 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）
-            # #1901 统一读 "title"，兼容老数据 "title_config"
-            _e2_title_cfg = (plan.config or {}).get("title", {}) or {}
-            if not isinstance(_e2_title_cfg, dict) or not (_e2_title_cfg.get("text") or "").strip():
-                _alt = (plan.config or {}).get("title_config", {}) or {}
-                if isinstance(_alt, dict):
-                    _e2_title_cfg = _alt
-            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)
@@ -1,654 +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,
-    GlobalQueueFull,
-    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）——仅保留全局硬上限，用户上限改为软 warning 在 safe_enqueue 内处理（#2098）
-    global_pending = generation_task_repository.count_pending_total()
-    if global_pending + count > GLOBAL_PENDING_LIMIT:
-        raise HTTPException(
-            status_code=503,
-            detail=build_rate_limit_detail(
-                GlobalQueueFull(pending_count=global_pending + count, limit=GLOBAL_PENDING_LIMIT),
-                generation_task_repository,
-                scope="global",
-            ),
-        )
-
-    # 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 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:
-        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）。
-    # #2024: 渲染完成后先进入 awaiting_cover（未入成品库），此时预览也应可见，
-    # 从 extra_meta["rendered_output"] 读取视频 URL。
-    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)
-    elif status_val == "awaiting_cover":
-        # 用 extra_meta 中的渲染信息组装一个轻量视频对象给前端预览播放
-        _meta = getattr(task, "extra_meta", {}) or {}
-        _ro = _meta.get("rendered_output") or {}
-        if _ro.get("file_url"):
-
-            class _PreviewVideo:
-                def __init__(self, ro):
-                    self.file_url = ro.get("file_url", "")
-                    self.duration = float(ro.get("duration") or 0.0)
-                    self.file_size = int(ro.get("file_size") or 0)
-
-            generated_videos = [_PreviewVideo(_ro)]
-
-    return _to_preview_response(task, generated_videos=generated_videos)
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
xiaoxia	d1c2443fae	Merge branch 'develop' into ci/cache-optimization-plus Preview Deploy / Deploy Preview Environment (pull_request) Successful in 52s Details AI Code Review / AI Code Review (pull_request) Successful in 4m36s Details PR Automation / Auto Approve on CI Green (pull_request) Successful in 5m6s Details PR Automation / Auto Merge on CI Green + Approved (pull_request) Successful in 35m3s Details Preview Cleanup / Cleanup Preview Environment (pull_request) Successful in 47s Details CI/CD Pipeline / Production Browser E2E (pull_request) Failing after 1358h17m56s Details CI/CD Pipeline / ACR Image Cleanup (pull_request) Failing after 1358h18m10s Details CI/CD Pipeline / Staging E2E Tests (pull_request) Failing after 1358h18m12s Details CI/CD Pipeline / Deploy Production (pull_request) Failing after 1358h18m14s Details CI/CD Pipeline / Frontend Unit Tests (pull_request) Failing after 1358h18m50s Details CI/CD Pipeline / Deploy Staging (Watchtower auto-deploy) (pull_request) Failing after 1358h22m8s Details CI/CD Pipeline / Build Production Web Image (pull_request) Failing after 1358h22m12s Details CI/CD Pipeline / Build Production API Image (pull_request) Failing after 1358h22m14s Details CI/CD Pipeline / Build Staging Web Image (pull_request) Failing after 1358h23m19s Details CI/CD Pipeline / Build Staging API Image (pull_request) Failing after 1358h23m21s Details CI/CD Pipeline / Check if frontend-only change (pull_request) Has been skipped Details CI/CD Pipeline / Validate Code Quality And Tests (pull_request) Has been skipped Details CI/CD Pipeline / Unit Tests (pull_request) Has been skipped Details CI/CD Pipeline / Integration Tests (pull_request) Has been skipped Details CI/CD Pipeline / Frontend Lint (pull_request) Has been skipped Details CI/CD Pipeline / PR Build API Image (pull_request) Has been skipped Details CI/CD Pipeline / PR Build Web Image (pull_request) Has been skipped Details CI/CD Pipeline / PR Build Worker Image (pull_request) Has been skipped Details CI/CD Pipeline / Build Staging Worker Image (pull_request) Failing after 1358h55m30s Details CI/CD Pipeline / Build Production Worker Image (pull_request) Failing after 1358h54m22s Details CI/CD Pipeline / Staging API Integration Tests (pull_request) Failing after 1358h50m22s Details	2026-07-22 01:04:47 +08:00
xiaoxia	43815e5f20	ci: 前端npm安装增加国内镜像源，加重试间隔 Preview Deploy / Deploy Preview Environment (pull_request) Successful in 1m4s Details PR Automation / Auto Approve on CI Green (pull_request) Successful in 2m15s Details AI Code Review / AI Code Review (pull_request) Successful in 3m34s Details PR Automation / Auto Merge on CI Green + Approved (pull_request) Successful in 16m53s Details CI/CD Pipeline / Frontend Unit Tests (pull_request) Failing after 1359h10m7s Details CI/CD Pipeline / Production Browser E2E (pull_request) Failing after 1359h10m46s Details CI/CD Pipeline / ACR Image Cleanup (pull_request) Failing after 1359h10m50s Details CI/CD Pipeline / Staging API Integration Tests (pull_request) Failing after 1359h10m52s Details CI/CD Pipeline / Build Production Web Image (pull_request) Failing after 1359h10m58s Details CI/CD Pipeline / Staging E2E Tests (pull_request) Failing after 1359h10m54s Details CI/CD Pipeline / Build Production API Image (pull_request) Failing after 1359h11m0s Details CI/CD Pipeline / Build Staging Web Image (pull_request) Failing after 1359h11m5s Details CI/CD Pipeline / Deploy Staging (Watchtower auto-deploy) (pull_request) Failing after 1359h11m2s Details CI/CD Pipeline / Build Staging API Image (pull_request) Failing after 1359h11m5s Details CI/CD Pipeline / Check if frontend-only change (pull_request) Has been skipped Details CI/CD Pipeline / Validate Code Quality And Tests (pull_request) Has been skipped Details CI/CD Pipeline / Unit Tests (pull_request) Has been skipped Details CI/CD Pipeline / Integration Tests (pull_request) Has been skipped Details CI/CD Pipeline / Frontend Lint (pull_request) Has been skipped Details CI/CD Pipeline / Build Staging Worker Image (pull_request) Failing after 1359h43m16s Details CI/CD Pipeline / Deploy Production (pull_request) Failing after 1359h43m0s Details CI/CD Pipeline / Build Production Worker Image (pull_request) Failing after 1359h43m8s Details - npm registry改为npmmirror.com国内镜像，加速下载减少失败 - 重试间隔从5s增加到10s，给网络恢复更多时间	2026-07-22 00:17:56 +08:00
				`@@ -1 +0,0 @@`
				`CI re-trigger after runner add-host/DNS fix. This file is harmless and not referenced.`