fix(deploy): 修复生产部署脚本502——worker/web容器启动失败 (#1887)

Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>

.gitea/workflows/ci-pipeline.yml

@@ -20,6 +20,7 @@ on:
         default: "手动触发 - CI漏触发补跑"
 permissions:
   contents: read
+  pull-requests: read
 concurrency:
   group: ci-pipeline-${{ gitea.ref }}
   cancel-in-progress: true
@@ -88,9 +89,22 @@ jobs:
         GITHUB_TOKEN: ${{ github.token }}
       run: |
         set -eu
+        # 优先用 git diff 判断 PR 改动范围（比 API 稳定）
         PR_NUMBER=$(echo "$GITHUB_REF" | sed 's|refs/pull/||; s|/.*||')
-        API_URL="${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)]")
+        if command -v git >/dev/null 2>&1 && [ -d .git ]; then
+          FILES=$(git diff --name-only origin/develop...HEAD 2>/dev/null || true)
+        fi
+        if [ -z "${FILES:-}" ]; then
+          # fallback 到 API
+          API_URL="${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/pulls/${PR_NUMBER}/files?limit=300"
+          FILES=$(curl -sf -H "Authorization: token ${GITHUB_TOKEN}" "$API_URL" | python3 -c "import sys,json; [print(f['filename']) for f in json.load(sys.stdin)]" 2>/dev/null || true)
+        fi
+        if [ -z "${FILES:-}" ]; then
+          echo "⚠️ 无法获取变更文件列表，保守运行完整 CI"
+          echo "skip_backend=false" >> $GITHUB_OUTPUT
+          echo "skip_frontend=false" >> $GITHUB_OUTPUT
+          exit 0
+        fi
         FRONTEND_COUNT=$(echo "$FILES" | grep -c '^apps/web/' || true)
         BACKEND_COUNT=$(echo "$FILES" | grep -cv '^apps/web/' || true)
         TOTAL=$(echo "$FILES" | grep -cv '^$' || true)
@@ -182,7 +196,7 @@ jobs:
     - name: Run style checks
       shell: bash
       run: bash scripts/ci/validate_style.sh
-    - name: Auto-fix formatting (black + isort)
+    - name: Auto-fix formatting (black + isort + ruff)
       if: failure()
       shell: sh
       env:
@@ -813,9 +827,6 @@ jobs:
         CACHE_REF="${REGISTRY}/${{ matrix.cache_name }}:develop"
 
         EXTRA_BUILD_ARGS="APP_VERSION=\"${GITHUB_SHA}\""
-        if [ "${{ matrix.service }}" = "web" ]; then
-          EXTRA_BUILD_ARGS="$EXTRA_BUILD_ARGS NGINX_CONF=infra/docker/nginx-staging.conf"
-        fi
 
         # Worker 与 API/Web 统一走持久 builder（ci-builder-persist），共享宿主机层缓存
         NO_CACHE_FLAG=""
@@ -1012,9 +1023,6 @@ jobs:
         CACHE_REF="${REGISTRY}/${{ matrix.cache_name }}:${GITHUB_REF_NAME}"
 
         EXTRA_BUILD_ARGS="APP_VERSION=\"${GITHUB_SHA}\""
-        if [ "${{ matrix.service }}" = "web" ]; then
-          EXTRA_BUILD_ARGS="$EXTRA_BUILD_ARGS NGINX_CONF=infra/docker/nginx-staging.conf"
-        fi
 
         NO_CACHE_FLAG=""
         for i in 1 2 3; do
@@ -1462,7 +1470,6 @@ jobs:
       - validate-security
       - validate-python
       - unit-tests
-      - frontend-lint
       - frontend-unit-test
     if: github.event_name == 'push' && github.ref_name == 'main' && !failure() && !cancelled()
     strategy:
@@ -1553,9 +1560,6 @@ jobs:
         CACHE_REF="${REGISTRY}/${{ matrix.cache_name }}:main"
 
         EXTRA_BUILD_ARGS="APP_VERSION=\"${TAG_NAME}\""
-        if [ "${{ matrix.service }}" = "web" ]; then
-          EXTRA_BUILD_ARGS="$EXTRA_BUILD_ARGS NGINX_CONF=infra/docker/nginx-production.conf"
-        fi
 
         # Docker build 带重试：失败自动重试2次，第2次重试加--no-cache
         NO_CACHE_FLAG=""
@@ -2119,3 +2123,4 @@ jobs:
           START_TIME=""
           [ -f /tmp/ci_job_start_time ] && START_TIME=$(cat /tmp/ci_job_start_time)
           curl -sfH "Authorization: token ${GITHUB_TOKEN:-$GITEA_TOKEN}" -o /tmp/_ci_trace.py "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/ci_trace_report.py?ref=${GITHUB_SHA}" 2>/dev/null && python3 /tmp/_ci_trace.py --service xiaoxia-saas-ci --status $STATUS --start-time "$START_TIME" || true
+# CI retry trigger

.gitea/workflows/debug-web-v2.yml

@@ -0,0 +1,60 @@
+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

EMPTY_COMMIT.txt

@@ -0,0 +1 @@
+retrigger3

README.md

@@ -263,3 +263,4 @@ pytest --cov=packages --cov-report=html
 ---
 
 **License**: MIT
+<!-- CI trigger: 1788229339 -->

alembic/versions/069_project_is_default_idempotent.py

@@ -0,0 +1,72 @@
+"""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")

alembic/versions/070_add_scripts_table.py

@@ -0,0 +1,48 @@
+"""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")

alembic/versions/071_add_lipsync_jobs_table.py

@@ -0,0 +1,47 @@
+"""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")

alembic/versions/072_add_ai_avatar_render_jobs_table.py

@@ -0,0 +1,48 @@
+"""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")

alembic/versions/073_add_lipsync_tts_fields.py

@@ -0,0 +1,45 @@
+"""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")

alembic/versions/074_ai_avatar_render_script_id_optional.py

@@ -0,0 +1,36 @@
+"""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,
+        )

alembic/versions/075_add_sentence_timings.py

@@ -0,0 +1,27 @@
+"""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")

apps/api/app/api/router.py

@@ -1,4 +1,5 @@
 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
@@ -15,7 +16,9 @@ from app.api.routes.generation_variant_plans import router as generation_variant
 from app.api.routes.health import router as health_check_router
 from app.api.routes.ingest_jobs import router as ingest_jobs_router
 from app.api.routes.internal_render import router as internal_render_router
+from app.api.routes.lipsync import router as lipsync_router
 from app.api.routes.projects import router as projects_router
+from app.api.routes.scripts import router as scripts_router
 from app.api.routes.share import router as share_router
 from app.api.routes.subscription import router as subscription_router
 from app.api.routes.tags import router as tags_router
@@ -38,6 +41,11 @@ 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",
@@ -171,3 +179,13 @@ api_router.include_router(
     internal_render_router,
     tags=["Internal"],
 )
+api_router.include_router(
+    scripts_router,
+    prefix="/scripts",
+    tags=["ScriptLibrary"],
+)
+api_router.include_router(
+    ai_avatar_render_router,
+    prefix="/ai-avatar/render",
+    tags=["AI Avatar Render"],
+)

apps/api/app/api/routes/ai_avatar_render.py

@@ -0,0 +1,324 @@
+"""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 datetime, timezone
+
+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),
+):
+    """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,
+            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(timezone.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(timezone.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(timezone.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

apps/api/app/api/routes/asset_libraries.py

@@ -20,7 +20,7 @@ from packages.application import (
     GetProjectUseCase,
     ListAssetLibrariesUseCase,
 )
-from packages.domain import AssetLibrary, AssetLibraryKind
+from packages.domain import AssetLibraryKind
 
 from ._helpers import check_project_access
 
@@ -120,30 +120,11 @@ def ensure_default_library(
 
     kind = AssetLibraryKind(request.kind)
 
-    # 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)
+    # 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。
     default_name = _DEFAULT_LIBRARY_NAMES.get(request.kind, f"{request.kind}素材库")
-    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)
+    library = asset_library_repository.get_or_create_default_library(request.project_id, kind, name=default_name)
+    return _to_asset_library_response(library)
 
 
 @router.delete("/{library_id}", status_code=status.HTTP_204_NO_CONTENT, response_class=Response)

apps/api/app/api/routes/chunked_upload.py

@@ -177,8 +177,8 @@ def _cleanup_expired_uploads() -> int:
                 meta_file.unlink()
                 cleaned += 1
                 logger.info(f"Cleaned up expired upload: {upload_id}")
-        except Exception as e:
-            logger.warning(f"Failed to cleanup upload metadata {meta_file}: {e}")
+        except Exception:
+            logger.exception("Failed to cleanup upload metadata: %s", meta_file)
 
     return cleaned
 

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

@@ -58,27 +58,10 @@ def _variant_value(values: list[str], index: int, fallback: str = "") -> str:
 
 
 def _query_voice_durations(db: Session, voice_ids: list[str]) -> list[float]:
-    """批量查询配音素材时长（秒），#1749 配音时长分配用。
+    """[已下沉] 路由层兼容别名 → app.services.generation_common.query_voice_durations。"""
+    from app.services.generation_common import query_voice_durations
 
-    逐项 try/float 硬化：MagicMock/异常/缺失 → 0.0（无配音不分配，不阻断）。
-    """
-    ids = [v for v in dict.fromkeys(voice_ids or []) if v]
-    if not ids:
-        return []
-    try:
-        from packages.adapters.sqlalchemy_impl.models import AssetModel
-
-        rows = db.query(AssetModel.id, AssetModel.duration).filter(AssetModel.id.in_(ids)).all()
-        dur_map: dict[str, float] = {}
-        for row in rows:
-            try:
-                dur_map[row[0]] = float(row[1] or 0.0)
-            except (TypeError, ValueError):
-                dur_map[row[0]] = 0.0
-        return [dur_map.get(v, 0.0) for v in ids]
-    except Exception:
-        logger.warning("[生成任务] 配音时长查询失败（按无配音处理，不阻断）", exc_info=True)
-        return [0.0 for _ in ids]
+    return query_voice_durations(db, voice_ids)
 
 
 def _to_generation_task_response(task) -> GenerationTaskResponse:
@@ -184,61 +167,10 @@ def _writeback_edit_plan_config(
     title_config: dict | None,
     db: Session,
 ) -> None:
-    """任务入队成功后，回写 EditPlan.config：generation_task_id + title_config。
+    """[已下沉] 路由层兼容别名 → app.services.generation_common.writeback_edit_plan_config。"""
+    from app.services.generation_common import writeback_edit_plan_config
 
-    用 merge 方式更新，不整体覆盖 config，避免丢失其他字段。
-    失败只记日志，不影响任务创建。
-    """
-    if not plan_id:
-        return
-    try:
-        from packages.adapters.sqlalchemy_impl.models import EditPlanModel
-
-        plan_model = db.query(EditPlanModel).filter(EditPlanModel.id == plan_id).first()
-        if plan_model is None:
-            logger.warning("[生成任务] 回写plan.config失败: plan不存在 plan_id=%s", plan_id)
-            return
-
-        current_config = plan_model.config if isinstance(plan_model.config, dict) else {}
-        merged = dict(current_config)
-        merged["generation_task_id"] = task_id
-
-        # 检查标题是否发生变化，如果变化则清除 cover 字段强制重新生成封面
-        if title_config:
-            old_title_config = merged.get("title_config", {}) or {}
-            old_title_text = (old_title_config.get("text") or "").strip()
-            new_title_text = (title_config.get("text") or "").strip()
-            if old_title_text != new_title_text:
-                # 标题变化，清除旧封面
-                if "cover" in merged:
-                    del merged["cover"]
-                    logger.info(
-                        "[生成任务] 标题变化，清除旧封面: plan_id=%s old_title=%s new_title=%s",
-                        plan_id,
-                        old_title_text,
-                        new_title_text,
-                    )
-            merged["title_config"] = title_config
-
-        plan_model.config = merged
-        db.commit()
-        logger.info(
-            "[生成任务] 回写plan.config成功: plan_id=%s task_id=%s keys=%s",
-            plan_id,
-            task_id,
-            list(merged.keys()),
-        )
-    except Exception as e:
-        logger.warning(
-            "[生成任务] 回写plan.config异常（不影响任务创建）: plan_id=%s error=%s",
-            plan_id,
-            e,
-            exc_info=True,
-        )
-        try:
-            db.rollback()
-        except Exception:
-            pass
+    return writeback_edit_plan_config(plan_id, task_id, title_config, db)
 
 
 def _resolve_project_and_library(
@@ -489,25 +421,14 @@ def create_generation_task(
         # 各变体配音时长（查询硬化：异常 → 0.0 不阻断）
         voice_durations = _query_voice_durations(db, variant_voices)
 
-        # 解析批量源 plan：优先前端传入；否则按 template_id + user 查最新（与单任务兜底同源）
-        batch_source_plan_id = request.source_edit_plan_id
-        if not batch_source_plan_id and request.template_id:
-            try:
-                from packages.adapters.sqlalchemy_impl.models import EditPlanModel
+        # 解析批量源 plan：优先前端传入；否则按 template_id + user 查最新（公共函数）
+        from app.services.generation_common import resolve_latest_plan_by_template
 
-                _latest = (
-                    db.query(EditPlanModel)
-                    .filter(
-                        EditPlanModel.template_id == request.template_id,
-                        EditPlanModel.created_by_user_id == user_id,
-                    )
-                    .order_by(EditPlanModel.created_at.desc())
-                    .first()
-                )
-                if _latest:
-                    batch_source_plan_id = _latest.id
-            except Exception:
-                logger.warning("[生成任务] 批量源 plan 解析失败", exc_info=True)
+        batch_source_plan_id = (
+            request.source_edit_plan_id
+            or resolve_latest_plan_by_template(db, template_id=request.template_id, user_id=user_id)
+            or ""
+        )
 
         if not batch_source_plan_id and not request.variant_plan_ids:
             # 无任何可用源 plan：批量变体无从选片，明确报错，严禁静默共用/同源
@@ -552,7 +473,12 @@ def create_generation_task(
                 ) from clone_err
             variant_plan_ids.append(_plan0.id)
 
-            # 变体 1..N-1 独立选片
+            # #1855 P0：批次区间避让表，从变体0实际clips构建初始值（公共函数）
+            from app.services.generation_common import collect_plan_segments as _collect_segments
+
+            _batch_segments = _collect_segments(_plan0.id, _plan_svc._clip_repo)
+
+            # 变体 1..N-1 独立选片（传入累积batch_segments做素材区间避让）
             for task_index in range(1, count):
                 variant = None
                 last_err: Exception | None = None
@@ -564,6 +490,7 @@ def create_generation_task(
                             created_by_user_id=user_id,
                             name_suffix=f"批量{task_index + 1}",
                             voice_duration=voice_durations[task_index] if task_index < len(voice_durations) else 0.0,
+                            batch_segments=_batch_segments,
                         )
                         break
                     except ValueError as ve:
@@ -595,7 +522,16 @@ def create_generation_task(
                     ) from last_err
                 variant_plan_ids.append(variant.id)
 
-        # ③ 配音时长分配（回传 plan / clone 变体0 均需幂等分配；reselect 已在选片时分配）
+                # #1855 P0：把新变体的clips区间追加到batch_segments，供下一变体避让
+                try:
+                    _new_segs = _collect_segments(variant.id, _plan_svc._clip_repo)
+                    for _aid, _ivs in _new_segs.items():
+                        _batch_segments.setdefault(_aid, []).extend(_ivs)
+                except Exception:
+                    logger.exception("[生成任务] 变体%d 区间收集失败（不阻断）", task_index)
+
+        # ③ 配音时长分配（回传 plan / clone 变体0 均需幂等分配；reselect 已在选片时分配，
+        #    #1855：apply_voice_duration_to_plan 已内置幂等判断，重复调用安全）
         for _vi, _pid in enumerate(variant_plan_ids):
             _vd = voice_durations[_vi] if _vi < len(voice_durations) else 0.0
             if _vd > 0:
@@ -616,24 +552,13 @@ def create_generation_task(
             )
             _single_vd: list[float] = _query_voice_durations(db, _voices)
             _single_dur = _single_vd[0] if _single_vd else 0.0
-            _single_plan = request.source_edit_plan_id
-            if not _single_plan and request.template_id:
-                try:
-                    from packages.adapters.sqlalchemy_impl.models import EditPlanModel
+            from app.services.generation_common import resolve_latest_plan_by_template
 
-                    _latest = (
-                        db.query(EditPlanModel)
-                        .filter(
-                            EditPlanModel.template_id == request.template_id,
-                            EditPlanModel.created_by_user_id == user_id,
-                        )
-                        .order_by(EditPlanModel.created_at.desc())
-                        .first()
-                    )
-                    if _latest:
-                        _single_plan = _latest.id
-                except Exception:
-                    logger.warning("[生成任务] 单任务源 plan 解析失败", exc_info=True)
+            _single_plan = (
+                request.source_edit_plan_id
+                or resolve_latest_plan_by_template(db, template_id=request.template_id, user_id=user_id)
+                or ""
+            )
             if _single_dur > 0 and _single_plan:
                 from app.services.edit_plan_service import EditPlanService
 

apps/api/app/api/routes/generation_variant_plans.py

@@ -90,25 +90,12 @@ def create_variant_plans(
     except VariantVoiceError as exc:
         raise HTTPException(status_code=400, detail=str(exc)) from exc
 
-    # 解析源 plan：显式传入优先；否则按 template_id + user 查最新
+    # 解析源 plan：显式传入优先；否则按 template_id + user 查最新（公共函数）
+    from app.services.generation_common import resolve_latest_plan_by_template
+
     source_plan_id = request.source_edit_plan_id.strip()
     if not source_plan_id and request.template_id.strip():
-        try:
-            from packages.adapters.sqlalchemy_impl.models import EditPlanModel
-
-            _latest = (
-                db.query(EditPlanModel)
-                .filter(
-                    EditPlanModel.template_id == request.template_id.strip(),
-                    EditPlanModel.created_by_user_id == user_id,
-                )
-                .order_by(EditPlanModel.created_at.desc())
-                .first()
-            )
-            if _latest:
-                source_plan_id = _latest.id
-        except Exception:
-            logger.warning("[variant-plans] 源 plan 解析失败", exc_info=True)
+        source_plan_id = resolve_latest_plan_by_template(db, template_id=request.template_id, user_id=user_id) or ""
 
     if not source_plan_id:
         raise HTTPException(
@@ -122,7 +109,7 @@ def create_variant_plans(
 
         voice_durations = _query_voice_durations(db, voices)
     except Exception:
-        logger.warning("[variant-plans] 配音时长查询失败（按占位段长选片）", exc_info=True)
+        logger.exception("[variant-plans] 配音时长查询失败（按占位段长选片）")
         voice_durations = [0.0] * request.count
 
     from app.services.edit_plan_service import EditPlanService
@@ -143,7 +130,7 @@ def create_variant_plans(
     except HTTPException:
         raise
     except Exception as e:
-        logger.error("[variant-plans] 选片异常: %s", e, exc_info=True)
+        logger.exception("[variant-plans] 选片异常")
         raise HTTPException(status_code=500, detail="选片失败，请稍后重试") from e
 
     # 组装 clips 响应

apps/api/app/api/routes/lipsync.py

@@ -0,0 +1,235 @@
+"""对口型 API 路由 — #1796 MediaKit 对口型, #1809 参数调整, #1845 配音前置.
+
+接口：
+  POST   /api/v1/lipsync/jobs          提交对口型任务（支持 TTS/直传/预合成 三种模式）
+  GET    /api/v1/lipsync/jobs          任务列表
+  GET    /api/v1/lipsync/jobs/{id}     任务详情
+  POST   /api/v1/lipsync/jobs/{id}/refresh  刷新任务状态
+  POST   /api/v1/lipsync/jobs/{id}/cancel   取消任务
+  POST   /api/v1/lipsync/tts-preview   #1845 步骤1 TTS 预合成（同步 HTTP，~2-3s）
+"""
+
+from __future__ import annotations
+
+import logging
+
+from app.auth import AuthenticatedUser, get_current_user
+from app.dependencies import (
+    get_db_session,
+    get_voice_clone_profile_repository,
+)
+from app.schemas.lipsync import (
+    AiAvatarTtsPreviewRequest,
+    AiAvatarTtsPreviewResponse,
+    CreateLipsyncJobRequest,
+    LipsyncJobResponse,
+)
+from app.services.lipsync_service import LipsyncService
+from app.services.mediakit_client import MediaKitError
+from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Query
+from sqlalchemy.orm import Session
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter()
+
+
+def _get_service(
+    db: Session = Depends(get_db_session),
+    voice_clone_repo=Depends(get_voice_clone_profile_repository),
+) -> LipsyncService:
+    # voice_clone_repo 用于克隆音色 profile 解析
+    return LipsyncService(
+        db,
+        voice_clone_repo=voice_clone_repo,
+    )
+
+
+# ── POST /jobs — 提交对口型任务 ───────────────────────────────────────────
+
+
+@router.post("/jobs", response_model=LipsyncJobResponse, status_code=201)
+def create_lipsync_job(
+    body: CreateLipsyncJobRequest,
+    current_user: AuthenticatedUser = Depends(get_current_user),
+    svc: LipsyncService = Depends(_get_service),
+):
+    """提交对口型任务.
+
+    三种模式：
+    - TTS 直生（旧版/降级）：传 {video_url, voice_id, script_text, speed?, emotion?}，
+      后端 dispatch Celery 异步任务。
+    - 直接音频：传 {video_url, audio_url}，后端同步下载+算timings+提交MediaKit。
+    - 预合成音频（#1845 新主路径）：传 {video_url, audio_url, audio_duration, sentence_timings}，
+      后端同步ffprobe+写入timings+直接提交MediaKit（~2-3s）。
+    """
+    try:
+        job = svc.create_job(
+            user_id=current_user.user.id,
+            video_url=body.video_url,
+            audio_url=body.audio_url,
+            audio_duration=body.audio_duration,
+            sentence_timings=body.sentence_timings,
+            voice_id=body.voice_id,
+            script_text=body.script_text,
+            speed=body.speed,
+            emotion=body.emotion,
+            enable_video_loop=body.enable_video_loop,
+            project_id=body.project_id,
+        )
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+    except MediaKitError as exc:
+        status_code = 502
+        if exc.code in ("VoiceForbidden",):
+            status_code = 403
+        elif exc.code in ("InvalidInput", "TTSInvalidParam", "VoiceNotReady"):
+            status_code = 400
+        raise HTTPException(
+            status_code=status_code,
+            detail={
+                "code": exc.code,
+                "message": str(exc),
+                "request_id": getattr(exc, "request_id", ""),
+            },
+        ) from exc
+    except Exception as exc:
+        logger.error("创建对口型任务异常: %s", exc, exc_info=True)
+        raise HTTPException(
+            status_code=400,
+            detail=f"创建对口型任务失败: {exc}",
+        ) from exc
+
+    return job
+
+
+# ── POST /tts-preview — #1845 步骤1 TTS 预合成 ──────────────────────────
+
+
+@router.post("/tts-preview", response_model=AiAvatarTtsPreviewResponse)
+def preview_tts(
+    body: AiAvatarTtsPreviewRequest,
+    current_user: AuthenticatedUser = Depends(get_current_user),
+    svc: LipsyncService = Depends(_get_service),
+):
+    """步骤1「生成配音」同步 TTS 预合成.
+
+    同步执行 TTS 合成 → 下载音频 → ffprobe 时长 → 句子时间戳计算，
+    不创建 LipsyncJob、不转存 OSS，直接返回 CosyVoice 临时 URL（~24h 有效）。
+    耗时约 2-3 秒。
+    """
+    try:
+        result = svc.preview_tts(
+            user_id=current_user.user.id,
+            voice_id=body.voice_id,
+            script_text=body.script_text,
+            speed=body.speed,
+            emotion=body.emotion,
+        )
+    except MediaKitError as exc:
+        status_code = 400
+        if exc.code in ("VoiceForbidden",):
+            status_code = 403
+        elif exc.code in ("TTSNoAudio",):
+            status_code = 502
+        raise HTTPException(
+            status_code=status_code,
+            detail={
+                "code": exc.code,
+                "message": str(exc),
+            },
+        ) from exc
+    except Exception as exc:
+        logger.error("TTS 预合成异常: %s", exc, exc_info=True)
+        raise HTTPException(
+            status_code=400,
+            detail=f"TTS 合成失败: {exc}",
+        ) from exc
+
+    return result
+
+
+# ── GET /jobs — 任务列表 ─────────────────────────────────────────────────
+
+
+@router.get("/jobs", response_model=dict)
+def list_lipsync_jobs(
+    project_id: str = Query("", description="项目 ID 过滤"),
+    status: str = Query("", description="状态过滤"),
+    offset: int = Query(0, ge=0),
+    limit: int = Query(20, ge=1, le=100),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+    svc: LipsyncService = Depends(_get_service),
+):
+    """获取对口型任务列表."""
+    items, total = svc.list_jobs(
+        user_id=current_user.user.id,
+        project_id=project_id,
+        status=status,
+        offset=offset,
+        limit=limit,
+    )
+    return {
+        "items": [LipsyncJobResponse.model_validate(j) for j in items],
+        "total": total,
+        "offset": offset,
+        "limit": limit,
+    }
+
+
+# ── GET /jobs/{job_id} — 任务详情 ────────────────────────────────────────
+
+
+@router.get("/jobs/{job_id}", response_model=LipsyncJobResponse)
+def get_lipsync_job(
+    job_id: str,
+    background: BackgroundTasks,
+    current_user: AuthenticatedUser = Depends(get_current_user),
+    svc: LipsyncService = Depends(_get_service),
+):
+    """获取对口型任务详情."""
+    job = svc.get_job(job_id, current_user.user.id)
+    if job is None:
+        raise HTTPException(status_code=404, detail="任务不存在")
+
+    if job.status not in ("completed", "failed"):
+        background.add_task(svc.refresh_job_status, job_id, current_user.user.id)
+
+    return job
+
+
+# ── POST /jobs/{job_id}/refresh — 刷新状态 ───────────────────────────────
+
+
+@router.post("/jobs/{job_id}/refresh", response_model=LipsyncJobResponse)
+def refresh_lipsync_job(
+    job_id: str,
+    current_user: AuthenticatedUser = Depends(get_current_user),
+    svc: LipsyncService = Depends(_get_service),
+):
+    """从 MediaKit 拉取最新状态并更新."""
+    job = svc.refresh_job_status(job_id, current_user.user.id)
+    if job is None:
+        raise HTTPException(status_code=404, detail="任务不存在")
+    return job
+
+
+# ── POST /jobs/{job_id}/cancel — 取消任务 ────────────────────────────────
+
+
+@router.post("/jobs/{job_id}/cancel", response_model=LipsyncJobResponse)
+def cancel_lipsync_job(
+    job_id: str,
+    current_user: AuthenticatedUser = Depends(get_current_user),
+    svc: LipsyncService = Depends(_get_service),
+):
+    """取消对口型任务（仅 pending/tts_processing/submitted 状态可取消）."""
+    job = svc.cancel_job(job_id, current_user.user.id)
+    if job is None:
+        raise HTTPException(status_code=404, detail="任务不存在")
+    if job.status != "cancelled":
+        raise HTTPException(
+            status_code=400,
+            detail=f"任务状态 {job.status} 不可取消，仅 pending/tts_processing/submitted 可取消",
+        )
+    return job

apps/api/app/api/routes/projects.py

@@ -1,13 +1,14 @@
 from typing import Any
 
 from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_project_repository
+from app.dependencies import get_asset_library_repository, get_project_repository
 from app.schemas.project import (
     CreateProjectRequest,
     ListProjectsResponse,
     ProjectResponse,
 )
 from fastapi import APIRouter, Depends, HTTPException, Response, status
+from pydantic import BaseModel
 
 from packages.application import (
     CreateProjectCommand,
@@ -16,10 +17,20 @@ from packages.application import (
     GetProjectUseCase,
     ListProjectsUseCase,
 )
+from packages.domain import AssetLibraryKind
 
 router = APIRouter()
 
 
+class DefaultContextResponse(BaseModel):
+    """幂等默认上下文响应（Issue #1775）：默认项目 + 各类型默认素材库 ID。"""
+
+    project_id: str
+    image_library_id: str
+    video_library_id: str
+    voice_library_id: str
+
+
 def _to_project_response(item) -> ProjectResponse:
     return ProjectResponse(
         id=item.id,
@@ -72,6 +83,35 @@ def create_project(
     return _to_project_response(project)
 
 
+@router.post("/ensure-default", response_model=DefaultContextResponse)
+def ensure_default_project_and_libraries(
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    project_repository: Any = Depends(get_project_repository),
+    asset_library_repository: Any = Depends(get_asset_library_repository),
+) -> DefaultContextResponse:
+    """幂等获取/创建当前用户的默认项目和三类默认素材库（Issue #1775）。
+
+    - 同一用户永远只有一个默认项目（部分唯一索引 uq_projects_owner_default）
+    - 同一项目同 kind 永远只有一个默认素材库（唯一约束 uq_asset_libraries_project_kind）
+    - 并发调用/失败重试：唯一约束冲突时返回已存在记录，不报 500
+    - 项目和素材库的创建各自在仓储事务内幂等，冲突回滚后重查返回同一条
+    """
+    user_id = authenticated_user.user.id
+    project = project_repository.get_or_create_default_project(user_id)
+
+    libraries = {}
+    for kind in (AssetLibraryKind.VIDEO, AssetLibraryKind.VOICE, AssetLibraryKind.IMAGE):
+        library = asset_library_repository.get_or_create_default_library(project.id, kind)
+        libraries[kind] = library.id
+
+    return DefaultContextResponse(
+        project_id=project.id,
+        image_library_id=libraries[AssetLibraryKind.IMAGE],
+        video_library_id=libraries[AssetLibraryKind.VIDEO],
+        voice_library_id=libraries[AssetLibraryKind.VOICE],
+    )
+
+
 @router.delete("/{project_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None, response_class=Response)
 def delete_project(
     project_id: str,

apps/api/app/api/routes/scripts.py

@@ -0,0 +1,123 @@
+"""Script (口播文案库) CRUD routes — Issue #1795."""
+
+from __future__ import annotations
+
+from typing import Optional
+
+from app.auth import AuthenticatedUser, get_current_user
+from app.dependencies import get_db_session
+from app.schemas.script import (
+    CreateScriptRequest,
+    ScriptListResponse,
+    ScriptResponse,
+    ScriptSegment,
+    UpdateScriptRequest,
+)
+from app.services.script_service import ScriptNotFoundError, ScriptService
+from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
+from sqlalchemy.orm import Session
+
+router = APIRouter()
+
+
+def _get_service(session: Session = Depends(get_db_session)) -> ScriptService:
+    return ScriptService(session)
+
+
+def _to_response(script) -> ScriptResponse:
+    segments = script.segments or []
+    return ScriptResponse(
+        id=script.id,
+        user_id=script.user_id,
+        title=script.title,
+        content=script.content,
+        segments=[
+            ScriptSegment(text=s.get("text", ""), duration=s.get("duration")) if isinstance(s, dict) else s
+            for s in segments
+        ],
+        tags=script.tags or [],
+        created_at=script.created_at,
+        updated_at=script.updated_at,
+    )
+
+
+@router.get("", response_model=ScriptListResponse)
+def list_scripts(
+    skip: int = Query(0, ge=0),
+    limit: int = Query(50, ge=1, le=200),
+    tag: Optional[str] = Query(None, description="按标签筛选"),
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    svc: ScriptService = Depends(_get_service),
+) -> ScriptListResponse:
+    user_id = authenticated_user.user.id
+    items, total = svc.list_scripts(user_id, skip=skip, limit=limit, tag=tag)
+    return ScriptListResponse(
+        items=[_to_response(i) for i in items],
+        total=total,
+    )
+
+
+@router.post("", response_model=ScriptResponse, status_code=status.HTTP_201_CREATED)
+def create_script(
+    request: CreateScriptRequest,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    svc: ScriptService = Depends(_get_service),
+) -> ScriptResponse:
+    user_id = authenticated_user.user.id
+    script = svc.create_script(
+        user_id=user_id,
+        title=request.title,
+        content=request.content,
+        segments=[s.model_dump() for s in request.segments],
+        tags=request.tags,
+    )
+    return _to_response(script)
+
+
+@router.get("/{script_id}", response_model=ScriptResponse)
+def get_script(
+    script_id: str,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    svc: ScriptService = Depends(_get_service),
+) -> ScriptResponse:
+    user_id = authenticated_user.user.id
+    try:
+        script = svc.get_script(script_id, user_id)
+    except ScriptNotFoundError as exc:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Script not found") from exc
+    return _to_response(script)
+
+
+@router.put("/{script_id}", response_model=ScriptResponse)
+def update_script(
+    script_id: str,
+    request: UpdateScriptRequest,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    svc: ScriptService = Depends(_get_service),
+) -> ScriptResponse:
+    user_id = authenticated_user.user.id
+    try:
+        script = svc.update_script(
+            script_id=script_id,
+            user_id=user_id,
+            title=request.title,
+            content=request.content,
+            segments=[s.model_dump() for s in request.segments] if request.segments is not None else None,
+            tags=request.tags,
+        )
+    except ScriptNotFoundError as exc:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Script not found") from exc
+    return _to_response(script)
+
+
+@router.delete("/{script_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None, response_class=Response)
+def delete_script(
+    script_id: str,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    svc: ScriptService = Depends(_get_service),
+) -> Response:
+    user_id = authenticated_user.user.id
+    deleted = svc.delete_script(script_id, user_id)
+    if not deleted:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Script not found")
+    return

apps/api/app/api/routes/templates_editor/ai_features.py

@@ -65,8 +65,8 @@ def _build_asset_analyses(
                 if url:
                     video_urls.append(url)
                     valid_asset_ids.append(aid)
-            except Exception as e:
-                logger.warning("获取素材URL失败: asset_id=%s error=%s", aid, str(e))
+            except Exception:
+                logger.exception("获取素材URL失败: asset_id=%s", aid)
 
         if not video_urls:
             logger.info("无可用视频素材，跳过视频理解分析")
@@ -108,7 +108,7 @@ def _build_asset_analyses(
         return analyses
 
     except Exception as e:
-        logger.warning("MediaKit 视频理解异常，将降级到无分析模式: %s", str(e))
+        logger.exception("MediaKit 视频理解异常，将降级到无分析模式: %s", e)
         return {}
 
 
@@ -177,7 +177,7 @@ def editor_ai_recommend(
         try:
             db.rollback()
         except Exception:
-            pass
+            logger.exception("db rollback failed in ai_recommend")
         raise HTTPException(
             status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
             detail="AI推荐结果保存失败，请稍后重试",

apps/api/app/api/routes/templates_editor/clips.py

@@ -132,8 +132,8 @@ def _build_asset_url_map(
     result: dict[str, str | None] = {}
     try:
         storage = get_storage_service()
-    except Exception:
-        logger.warning("获取存储服务失败，跳过asset_url生成")
+    except Exception as e:
+        logger.exception("获取存储服务失败，跳过asset_url生成: %s", e)
         return {aid: None for aid in asset_ids}
 
     # 批量查询所有 Asset（单次 SQL IN 查询，避免 N+1）
@@ -141,7 +141,7 @@ def _build_asset_url_map(
         assets = asset_repo.find_by_ids(unique_ids)
         asset_map = {a.id: a for a in assets}
     except Exception:
-        logger.warning("批量查询素材失败: asset_ids=%s", asset_ids, exc_info=True)
+        logger.exception("批量查询素材失败: asset_ids=%s", asset_ids)
         return {aid: None for aid in asset_ids if aid}
 
     for aid in unique_ids:
@@ -156,7 +156,7 @@ def _build_asset_url_map(
                 continue
             result[aid] = storage.get_download_url(storage_key, expires_seconds=3600)
         except Exception:
-            logger.warning("生成素材签名URL失败: asset_id=%s", aid, exc_info=True)
+            logger.exception("生成素材签名URL失败: asset_id=%s", aid)
             result[aid] = None
 
     return result
@@ -486,8 +486,8 @@ def _get_mediakit_recommendations(
                 if url:
                     video_urls.append(url)
                     valid_asset_ids.append(asset_id)
-            except Exception as e:
-                logger.warning("获取素材URL失败: asset_id=%s error=%s", asset_id, e)
+            except Exception:
+                logger.exception("获取素材URL失败: asset_id=%s", asset_id)
 
         if not video_urls:
             return {}
@@ -563,7 +563,7 @@ def _get_mediakit_recommendations(
         return recommendations
 
     except Exception as e:
-        logger.warning("MediaKit 智能选片异常，降级为随机选择: %s", e)
+        logger.exception("MediaKit 智能选片异常，降级为随机选择: %s", e)
         return {}
 
 
@@ -860,7 +860,7 @@ def create_clips_from_assets_editor(
     duplicate_warning = None
     if dup_rate > 50:
         duplicate_warning = f"查重率 {dup_rate:.1f}% 超过50%，建议更换素材或模板"
-        logger.warning(
+        logger.exception(
             "from-assets 成片查重率超标: plan_id=%s dup_rate=%.1f%%",
             plan_id,
             dup_rate,
@@ -960,8 +960,8 @@ def _update_mediakit_recommendations_async(  # pragma: no cover
         # 尝试获取存储服务（用于生成视频 URL）
         try:
             storage = get_storage_service()
-        except Exception:
-            logger.warning("后台任务: 获取存储服务失败，跳过 SceneChange 更新")
+        except Exception as e:
+            logger.exception("后台任务: 获取存储服务失败，跳过 SceneChange 更新: %s", e)
             return
 
         # 获取 MediaKit 客户端
@@ -987,8 +987,8 @@ def _update_mediakit_recommendations_async(  # pragma: no cover
             if storage_key and mime.startswith("video/"):
                 try:
                     video_url = storage.get_download_url(storage_key)
-                except Exception as e:
-                    logger.warning("后台任务: 获取素材URL失败: asset_id=%s error=%s", asset_id, e)
+                except Exception:
+                    logger.exception("后台任务: 获取素材URL失败: asset_id=%s", asset_id)
 
             # 构建该素材的占用区间列表（排除已更新片段）
             def _get_other_segments(asset_id_inner, clip_id_inner):
@@ -1039,12 +1039,11 @@ def _update_mediakit_recommendations_async(  # pragma: no cover
                             asset_id,
                             len(scene_changes),
                         )
-                    except Exception as cache_err:
+                    except Exception:
                         # 缓存写入失败不影响本次片段更新
-                        logger.warning(
-                            "后台任务: 场景点缓存写入失败: asset_id=%s error=%s",
+                        logger.exception(
+                            "后台任务: 场景点缓存写入失败: asset_id=%s",
                             asset_id,
-                            cache_err,
                         )
 
             # SceneChange 未获得有效结果 → 尝试 analyze_videos 作为 fallback
@@ -1124,11 +1123,10 @@ def _update_mediakit_recommendations_async(  # pragma: no cover
                                 recommended_start + clip_duration,
                                 plan_id,
                             )
-                    except Exception as me:
-                        logger.warning(
-                            "后台任务: 同步素材区间记录失败，回滚本次片段更新: clip_id=%s error=%s",
+                    except Exception:
+                        logger.exception(
+                            "后台任务: 同步素材区间记录失败，回滚本次片段更新: clip_id=%s",
                             clip.id,
-                            me,
                         )
                         db.rollback()
                         continue
@@ -1144,8 +1142,8 @@ def _update_mediakit_recommendations_async(  # pragma: no cover
                         asset_id,
                         recommended_start,
                     )
-                except Exception as ue:
-                    logger.warning("后台任务: 单个片段更新失败: clip_id=%s error=%s", clip.id, ue)
+                except Exception:
+                    logger.exception("后台任务: 单个片段更新失败: clip_id=%s", clip.id)
                     try:
                         db.rollback()
                     except Exception:
@@ -1154,9 +1152,9 @@ def _update_mediakit_recommendations_async(  # pragma: no cover
 
         logger.info("后台任务完成: plan_id=%s 成功更新 %d 个片段", plan_id, updated_count)
 
-    except Exception as e:
+    except Exception:
         # 后台任务失败不影响已创建的片段，静默处理
-        logger.warning("后台任务异常: plan_id=%s error=%s", plan_id, e, exc_info=True)
+        logger.exception("后台任务异常: plan_id=%s", plan_id)
         if db:
             try:
                 db.rollback()

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

@@ -173,6 +173,14 @@ def synthesize(
         # job.voice_id 统一存解析后的 CosyVoice voice_id
         actual_voice_id = resolved_profile.voice_id
 
+    # 语速/情绪等合成参数随 metadata 落库，workflow 提交 CosyVoice 时读取透传
+    synthesis_meta = {
+        "speed": request.speed,
+        "emotion": request.emotion or "",
+    }
+    if request.metadata_:
+        synthesis_meta.update(request.metadata_)
+
     use_case = CreateTTSJobUseCase(repository)
     job = use_case.execute(
         user_id=user_id,
@@ -180,7 +188,7 @@ def synthesize(
         voice_id=actual_voice_id,
         voice_model=request.voice_model,
         voice_clone_profile_id=voice_clone_profile_id,
-        metadata=request.metadata_,
+        metadata=synthesis_meta,
     )
 
     # 提交 CosyVoice 合成任务
@@ -567,6 +575,7 @@ def preview_tts(
             text=request.text,
             voice_id=actual_voice_id,
             speed=request.speed,
+            emotion=request.emotion,
         )
     except CosyVoiceError as e:
         raise HTTPException(

apps/api/app/api/routes/upload.py

@@ -208,6 +208,8 @@ def _create_pending_asset(
     find-or-create：prepare 阶段已按 file_hash/client_upload_id 预建的占位记录
     会被 find_by_library_and_file_hash/find_by_library_and_client_upload_id 命中，
     直接复用并补齐字段（避免 pre-create + complete 重复建两条）。
+
+    Issue #1776: 素材库计数由 asset_repository.create() 自动维护。
     """
     # 1. 按 client_upload_id / file_hash 查找现有记录
     existing = None
@@ -389,6 +391,7 @@ async def prepare_direct_upload(
                 file_size=request.file_size,
             )
             pending_asset_id = pending.id
+            # Issue #1776: 计数由 asset_repository.create() 自动维护
         except Exception as error:
             # 预建失败不阻塞签名：complete 仍可按 OSS 文件 + hash 兜底去重
             logger.warning("预建 asset 占位失败，降级走 old flow: %s", error)
@@ -474,6 +477,7 @@ async def complete_direct_upload(
         client_upload_id=request.client_upload_id,
         file_size=request.file_size,
     )
+    # Issue #1776: 计数由 asset_repository.create() 自动维护
 
     job = _submit_ingest_job(
         project_id=request.project_id,
@@ -568,6 +572,7 @@ async def upload_asset(
         file_hash=file_hash,
         client_upload_id=client_upload_id,
     )
+    # Issue #1776: 计数由 asset_repository.create() 自动维护
 
     job = _submit_ingest_job(
         project_id=project_id,

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

@@ -163,12 +163,12 @@ def create_voice_clone(
             celery_app.send_task("worker.process_voice_clone", args=[profile.id])
             logger.info(f"Celery task dispatched for voice clone {profile.id}")
         except Exception as e:
-            logger.error(f"Failed to dispatch Celery task: {e}")
+            logger.exception("Failed to dispatch Celery task")
             # P2-3: Celery 调度失败时标记 profile 为 failed，避免永久卡在 processing
             try:
                 workflow.process_clone_failure(profile.id, f"Celery 任务调度失败: {e}")
-            except Exception as inner_e:
-                logger.error(f"Failed to mark profile as failed after dispatch error: {inner_e}")
+            except Exception:
+                logger.exception("Failed to mark profile as failed after dispatch error")
 
     return _to_response(profile)
 
@@ -277,12 +277,12 @@ def retry_voice_clone(
             celery_app.send_task("worker.process_voice_clone", args=[profile.id])
             logger.info(f"Celery task dispatched for voice clone retry {profile.id}")
         except Exception as e:
-            logger.error(f"Failed to dispatch Celery task: {e}")
+            logger.exception("Failed to dispatch Celery task")
             # P2-3: Celery 调度失败时标记 profile 为 failed，避免永久卡在 processing
             try:
                 workflow.process_clone_failure(profile.id, f"Celery 任务调度失败: {e}")
-            except Exception as inner_e:
-                logger.error(f"Failed to mark profile as failed after dispatch error: {inner_e}")
+            except Exception:
+                logger.exception("Failed to mark profile as failed after dispatch error")
 
     return _to_response(profile)
 

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

@@ -105,8 +105,8 @@ def _resolve_preset_preview_url(
         _preset_preview_cache[voice_id] = (audio_url, time.time())
         logger.info("Preset voice preview generated: %s", voice_id)
         return audio_url
-    except Exception as e:
-        logger.warning("Failed to generate preview for %s, using fallback: %s", voice_id, e)
+    except Exception:
+        logger.exception("Failed to generate preset voice preview: voice_id=%s", voice_id)
         return fallback_url
 
 
@@ -127,6 +127,7 @@ def _resolve_all_preset_preview_urls(
         try:
             result_map[p.voice_id] = _resolve_preset_preview_url(p.voice_id, p.preview_url, cosyvoice)
         except Exception:
+            logger.exception("Failed to resolve preset preview URL: voice_id=%s", p.voice_id)
             result_map[p.voice_id] = p.preview_url
     return result_map
 
@@ -732,7 +733,7 @@ def _find_or_create_voice_library_for_extract(*, user_id, project_repository, as
             try:
                 session.rollback()
             except Exception:
-                pass
+                logger.exception("session rollback failed in _find_or_create_voice_library")
         for lib in asset_library_repository.find_by_project(project.id):
             kind = lib.kind.value if hasattr(lib.kind, "value") else lib.kind
             if kind == AssetLibraryKind.VOICE.value:

apps/api/app/schemas/ai_avatar_render.py

@@ -0,0 +1,126 @@
+"""AI数字人渲染合成管线 API Schema — #1798."""
+
+from __future__ import annotations
+
+from datetime import datetime
+from typing import Any, Optional
+
+from pydantic import BaseModel, Field, field_validator
+
+
+class BRollSegment(BaseModel):
+    """B-roll 片段配置."""
+
+    script_segment_index: int = Field(..., ge=0, description="对应文案片段索引")
+    asset_url: str = Field(..., description="B-roll 素材 URL")
+    mode: str = Field(..., description="插入模式: fullscreen 或 pip")
+    start_time: float = Field(..., ge=0.0, description="在对口型视频中的起始时间(秒)")
+    end_time: float = Field(..., ge=0.0, description="在对口型视频中的结束时间(秒)")
+    pip_position: Optional[str] = Field("bottom_right", description="pip 模式位置")
+    pip_scale: Optional[float] = Field(0.3, ge=0.05, le=1.0, description="pip 模式缩放比例")
+
+    @field_validator("mode")
+    @classmethod
+    def validate_mode(cls, v: str) -> str:
+        v = v.strip().lower()
+        if v not in ("fullscreen", "pip"):
+            raise ValueError("mode 必须为 fullscreen 或 pip")
+        return v
+
+    @field_validator("asset_url")
+    @classmethod
+    def validate_asset_url(cls, v: str) -> str:
+        v = v.strip()
+        if not v:
+            raise ValueError("asset_url 不能为空")
+        if not v.startswith(("http://", "https://")):
+            raise ValueError("asset_url 必须是 HTTP/HTTPS URL")
+        return v
+
+    @field_validator("end_time")
+    @classmethod
+    def validate_end_time(cls, v: float, info: Any) -> float:
+        start = info.data.get("start_time", 0.0)
+        if v <= start:
+            raise ValueError("end_time 必须大于 start_time")
+        return v
+
+
+class CreateAiAvatarRenderRequest(BaseModel):
+    """创建渲染任务请求."""
+
+    lipsync_job_id: str = Field(..., description="对口型任务 ID")
+    script_id: str = Field("", description="文案 ID（选自文案库时传；手动输入文案直生场景可留空）")
+    b_roll_segments: list[BRollSegment] = Field(default_factory=list, description="B-roll 片段列表")
+    title_config: dict[str, Any] = Field(
+        default_factory=dict, description="标题配置（可含 title_image_dataurl：前端 Canvas 渲染的标题 PNG dataURL）"
+    )
+    cover_config: dict[str, Any] = Field(default_factory=dict, description="封面配置")
+    project_id: str = Field("", description="项目 ID")
+
+    @field_validator("lipsync_job_id")
+    @classmethod
+    def validate_lipsync_job_id(cls, v: str) -> str:
+        v = v.strip()
+        if not v:
+            raise ValueError("lipsync_job_id 不能为空")
+        return v
+
+    @field_validator("script_id")
+    @classmethod
+    def validate_script_id(cls, v: str) -> str:
+        return (v or "").strip()
+
+
+class AiAvatarRenderJobResponse(BaseModel):
+    """渲染任务响应."""
+
+    id: str
+    user_id: str
+    project_id: str
+    lipsync_job_id: str
+    script_id: str = ""
+    b_roll_segments: list[dict[str, Any]]
+    title_config: dict[str, Any]
+    cover_config: dict[str, Any]
+    status: str
+    progress: int
+    output_video_url: str
+    output_cover_url: str
+    output_duration: float
+    error_message: str
+    submitted_at: Optional[datetime] = None
+    started_at: Optional[datetime] = None
+    completed_at: Optional[datetime] = None
+    created_at: datetime
+    updated_at: datetime
+
+    class Config:
+        from_attributes = True
+
+
+class AiAvatarRenderProgressResponse(BaseModel):
+    """渲染进度响应."""
+
+    status: str
+    progress: int
+    output_video_url: str
+    output_cover_url: str
+    output_duration: float
+    error_message: str
+
+
+class SmartCoverResponse(BaseModel):
+    """智能封面响应（封面从最终成片抽帧，不再叠加标题）."""
+
+    cover_url: str = Field("", description="封面图公网 URL（OSS，非临时）；失败为空")
+    status: str = Field("completed", description="completed / fallback_failed")
+    message: str = Field("", description="失败原因（如有）")
+
+
+class FinalizeRenderResponse(BaseModel):
+    """封面选好后点「完成」，正式入库成片库的响应."""
+
+    video_id: str = Field(..., description="成片库视频ID")
+    cover_url: str = Field("", description="封面URL")
+    status: str = Field("success", description="success/already_finalized")

apps/api/app/schemas/lipsync.py

@@ -0,0 +1,131 @@
+"""对口型 API Schema 定义 — #1796 / #1809 / #1822 / #1845（配音前置）.
+
+支持三种输入模式：
+1. TTS 直生模式（兼容旧版前端）：传 voice_id + script_text（+ speed/emotion），
+   后端 Celery 异步做 TTS 合成 + MediaKit 提交。
+2. 直接音频模式：传 video_url + audio_url（音频已由调用方准备好）。
+3. 预合成音频模式（#1845 配音前置新主路径）：前端先调 POST /lipsync/tts-preview
+   拿到 audio_url + sentence_timings，再在 create_job 时传 audio_url + audio_duration
+   + sentence_timings，后端跳过 TTS 和时间戳计算，直接 ffprobe 校验后提交 MediaKit。
+"""
+
+from __future__ import annotations
+
+from datetime import datetime
+from typing import Optional
+
+from pydantic import BaseModel, Field, model_validator
+
+
+class LipsyncJobResponse(BaseModel):
+    """对口型任务响应."""
+
+    id: str
+    user_id: str
+    project_id: str
+    video_url: str
+    audio_url: str
+    enable_video_loop: bool
+    voice_id: str = ""
+    script_text: str = ""
+    speed: float = 1.0
+    emotion: str = ""
+    mediakit_task_id: str
+    status: str
+    output_video_url: str
+    output_duration: float
+    error_message: str
+    error_code: str
+    sentence_timings: Optional[list] = None
+    submitted_at: Optional[datetime] = None
+    completed_at: Optional[datetime] = None
+    created_at: datetime
+    updated_at: datetime
+
+    class Config:
+        from_attributes = True
+
+
+class CreateLipsyncJobRequest(BaseModel):
+    """创建对口型任务请求.
+
+    三种模式（三选一）：
+    - TTS 直生（旧版/降级）：voice_id + script_text 必填；audio_url 留空。
+    - 直接音频：video_url + audio_url 必填。
+    - 预合成音频（#1845 新主路径）：audio_url 必填 + 可选 audio_duration/sentence_timings；
+      后端同步 ffprobe 校验时长、写入 timings，直接提交 MediaKit。
+    """
+
+    video_url: str = Field(..., description="人物视频 URL（MP4，≤30min，单人真人）")
+
+    # 模式 2/3：直接/预合成音频
+    audio_url: str = Field("", description="驱动音频 URL（mp3/aac/wav/m4a/flac）；直生模式留空")
+    audio_duration: Optional[float] = Field(None, ge=0, description="预合成音频时长（秒），可选；后端会 ffprobe 校验")
+    sentence_timings: Optional[list] = Field(None, description="预合成接口返回的句子时间戳，可选；若传入则直接写入 job")
+
+    # 模式 1：TTS 直生
+    voice_id: str = Field("", description="音色 ID（预置音色或克隆音色 profile UUID）")
+    script_text: str = Field("", description="要合成的文案（直生模式必填，最长 5000 字符）")
+    speed: float = Field(1.0, ge=0.5, le=2.0, description="语速（0.5-2.0），默认 1.0")
+    emotion: str = Field("", description="情绪（natural/excited/calm/friendly 或中文 自然/兴奋/沉稳/亲切）")
+
+    enable_video_loop: bool = Field(
+        True, description="音频长于视频时是否循环画面（AI数字人默认开启，防止音频长于视频被截断）"
+    )
+    project_id: str = Field("", description="项目 ID（可选）")
+
+    @model_validator(mode="after")
+    def _validate_input_mode(self) -> "CreateLipsyncJobRequest":
+        video = (self.video_url or "").strip()
+        if not video:
+            raise ValueError("video_url 不能为空")
+        if not video.startswith(("http://", "https://")):
+            raise ValueError("video_url 必须是 HTTP/HTTPS URL")
+        lower = video.lower().split("?")[0]
+        allowed_video_exts = (".mp4", ".mov", ".m4v", ".webm", ".avi", ".mkv", ".3gp")
+        if not any(lower.endswith(ext) for ext in allowed_video_exts):
+            raise ValueError("video_url 格式不支持，仅支持: " + ", ".join(allowed_video_exts))
+
+        has_audio = bool((self.audio_url or "").strip())
+        has_tts = bool((self.voice_id or "").strip()) and bool((self.script_text or "").strip())
+
+        if not has_audio and not has_tts:
+            raise ValueError(
+                "必须提供驱动音频：要么传 audio_url（直接/预合成音频模式），"
+                "要么同时传 voice_id + script_text（TTS 直生模式）"
+            )
+
+        if has_tts and len(self.script_text) > 5000:
+            raise ValueError("script_text 最长 5000 字符")
+
+        if has_audio:
+            au = self.audio_url.strip()
+            if not au.startswith(("http://", "https://")):
+                raise ValueError("audio_url 必须是 HTTP/HTTPS URL")
+            au_lower = au.lower().split("?")[0]
+            allowed = (".mp3", ".aac", ".wav", ".m4a", ".flac")
+            if not any(au_lower.endswith(ext) for ext in allowed):
+                raise ValueError(f"audio_url 格式不支持，仅支持: {', '.join(allowed)}")
+            self.audio_url = au
+
+        return self
+
+
+# ── #1845 TTS 预合成接口 ────────────────────────────────────────────────
+
+
+class AiAvatarTtsPreviewRequest(BaseModel):
+    """步骤1「生成配音」预合成请求（同步 HTTP，~2-3s）."""
+
+    voice_id: str = Field(..., min_length=1, max_length=128, description="音色 ID")
+    script_text: str = Field(..., min_length=1, max_length=5000, description="要合成的文案")
+    speed: float = Field(1.0, ge=0.5, le=2.0, description="语速（0.5-2.0），默认 1.0")
+    emotion: str = Field("natural", max_length=32, description="情绪")
+
+
+class AiAvatarTtsPreviewResponse(BaseModel):
+    """TTS 预合成响应（临时 URL，24h 内有效，足够当前会话使用）."""
+
+    audio_url: str = Field(..., description="CosyVoice 临时音频 URL")
+    duration: float = Field(..., ge=0, description="音频总时长（秒），ffprobe 测得")
+    sentence_timings: list[dict] = Field(..., description="句子级精确时间戳")

apps/api/app/schemas/script.py

@@ -0,0 +1,45 @@
+"""Script (口播文案库) Pydantic schemas — Issue #1795."""
+
+from __future__ import annotations
+
+from datetime import datetime
+from typing import List, Optional
+
+from pydantic import BaseModel, Field
+
+
+class ScriptSegment(BaseModel):
+    """单段文案."""
+
+    text: str
+    duration: Optional[float] = None
+
+
+class ScriptResponse(BaseModel):
+    id: str
+    user_id: str
+    title: str
+    content: str
+    segments: List[ScriptSegment] = Field(default_factory=list)
+    tags: List[str] = Field(default_factory=list)
+    created_at: datetime
+    updated_at: datetime
+
+
+class ScriptListResponse(BaseModel):
+    items: list[ScriptResponse]
+    total: int = 0
+
+
+class CreateScriptRequest(BaseModel):
+    title: str = Field(..., min_length=1, max_length=255)
+    content: str = ""
+    segments: List[ScriptSegment] = Field(default_factory=list)
+    tags: List[str] = Field(default_factory=list)
+
+
+class UpdateScriptRequest(BaseModel):
+    title: Optional[str] = Field(None, min_length=1, max_length=255)
+    content: Optional[str] = None
+    segments: Optional[List[ScriptSegment]] = None
+    tags: Optional[List[str]] = None

apps/api/app/schemas/tts.py

@@ -16,6 +16,7 @@ class TTSSynthesizeRequest(BaseModel):
     output_name: str = Field("", description="输出文件名")
     language: str = Field("zh-CN", description="语言")
     speed: float = Field(1.0, ge=0.5, le=2.0, description="语速")
+    emotion: str = Field("", description="情绪（natural/excited/calm/friendly，或中文 自然/兴奋/沉稳/亲切）")
     voice_model: str = Field("", description="语音模型名称")
     voice_clone_profile_id: str = Field("", description="关联的音色克隆档案 ID")
     format: str = Field("mp3", description="输出格式（mp3/wav/pcm）")
@@ -109,6 +110,7 @@ class TTSPreviewRequest(BaseModel):
     text: str = Field(..., min_length=1, max_length=200, description="合成文本，限制 200 字")
     voice_id: str = Field(..., min_length=1, description="音色 ID")
     speed: float = Field(1.0, ge=0.5, le=2.0, description="语速")
+    emotion: str = Field("", description="情绪（natural/excited/calm/friendly，或中文）")
     pitch: float = Field(1.0, ge=0.5, le=2.0, description="音调（预留，当前未使用）")
 
 

apps/api/app/services/ai_avatar_cover_service.py

@@ -0,0 +1,215 @@
+"""AI 数字人封面服务 — MediaKit 抽帧 + 质量评分选最佳帧 + 转存 OSS.
+
+与 generation_cover.py 的智能选帧能力对齐（不再用 FFmpeg 简单截帧）：
+1. MediaKit extract_frames 抽取多帧（默认 5 帧，SpecifiedFrames 策略）
+2. cover_frame_scorer.score_frames 按清晰度/亮度/色彩评分选最佳
+3. 下载最佳帧并转存 OSS，返回公网封面 URL
+
+设计原则：封面一律从最终成片（已叠加标题/B-roll）抽帧，帧本身已含标题，
+本服务**不再叠加标题**。对口型阶段的裸视频封面入口已删除（废弃）。
+
+降级：MediaKit 不可用或抽帧失败时返回空字符串，由调用方决定回退策略。
+"""
+
+from __future__ import annotations
+
+import logging
+import tempfile
+import uuid
+from pathlib import Path
+from typing import Optional
+from urllib.parse import urlparse
+
+logger = logging.getLogger(__name__)
+
+# MediaKit 抽帧轮询参数：poll_interval=2s × max_poll=30 → 最长 60s（与 mediakit_client 默认值/lipsync 轮询保持一致，防止合成视频下载+抽帧超时）
+COVER_POLL_INTERVAL = 2.0
+COVER_MAX_POLL_ATTEMPTS = 30
+
+# 帧图片下载超时（秒）
+FRAME_DOWNLOAD_TIMEOUT = 20
+# 最佳帧下载超时（用于 persist）
+BEST_FRAME_DOWNLOAD_TIMEOUT = 30
+
+# 自家 OSS 私有桶 URL 重签有效期（供 MediaKit GPU worker 拉取）
+MEDIAKIT_URL_TTL_SECONDS = 7 * 24 * 3600
+
+
+def _sign_video_url_for_mediakit(video_url: str) -> str:
+    """如果 video_url 是自家 OSS 私有桶 URL，重新签名为长有效期预签名 URL。
+
+    MediaKit GPU worker 需要能公网访问 video_url，裸 public_url 在私有桶下会 403。
+    """
+    if not video_url:
+        return video_url
+    try:
+        from packages.shared.storage import get_shared_storage_service
+
+        storage = get_shared_storage_service()
+        public_base = getattr(storage, "public_url", "")
+        if not isinstance(public_base, str) or not public_base:
+            return video_url
+        own_host = urlparse(public_base).netloc.lower()
+        url_host = urlparse(video_url).netloc.lower()
+        if own_host and url_host == own_host:
+            signed = storage.get_download_url(video_url, expires_seconds=MEDIAKIT_URL_TTL_SECONDS)
+            if signed:
+                logger.info("[数字人封面] video_url 已重签（自家 OSS 私有桶）")
+                return signed
+    except Exception:
+        logger.warning("[数字人封面] video_url 重签失败，使用原始 URL", exc_info=True)
+    return video_url
+
+
+def select_best_cover_frame(video_url: str, *, max_frames: int = 5) -> str:
+    """从视频抽取多帧并评分选最佳帧，返回最佳帧的临时 URL."""
+    if not video_url:
+        return ""
+
+    video_url = _sign_video_url_for_mediakit(video_url)
+
+    try:
+        from packages.shared.cover_frame_scorer import score_frames
+        from packages.shared.mediakit_client import get_mediakit_client
+
+        mk = get_mediakit_client()
+        if not mk.is_available:
+            logger.warning("[数字人封面] MediaKit 未配置，无法智能抽帧")
+            return ""
+
+        logger.info(
+            "[数字人封面] 开始抽帧: video_url=%s max_frames=%d",
+            video_url[:80],
+            max_frames,
+        )
+
+        snapshots = mk.extract_frames(
+            video_url=video_url,
+            strategy="SpecifiedFrames",
+            max_frames=max_frames,
+            poll_interval=COVER_POLL_INTERVAL,
+            max_poll_attempts=COVER_MAX_POLL_ATTEMPTS,
+            max_retries=1,
+        )
+        if not snapshots:
+            logger.warning("[数字人封面] MediaKit 未返回帧: %s", video_url[:80])
+            return ""
+
+        if len(snapshots) == 1:
+            return snapshots[0].get("image_url") or snapshots[0].get("url") or ""
+
+        import httpx
+
+        candidates = []
+        with httpx.Client(timeout=FRAME_DOWNLOAD_TIMEOUT, follow_redirects=True) as client:
+            for snap in snapshots:
+                url = snap.get("image_url") or snap.get("url") or ""
+                if not url:
+                    continue
+                tmp_path: Optional[str] = None
+                try:
+                    resp = client.get(url)
+                    resp.raise_for_status()
+                    with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as tmp:
+                        tmp.write(resp.content)
+                        tmp_path = tmp.name
+                    candidates.append({"image_path": tmp_path, "url": url})
+                except Exception as e:
+                    logger.warning("[数字人封面] 帧下载失败，跳过: url=%s err=%s", url[:80], e)
+                    candidates.append({"image_path": None, "url": url, "score": 0.0})
+
+        if not candidates:
+            return snapshots[0].get("image_url") or snapshots[0].get("url") or ""
+
+        scored = score_frames(candidates)
+        best = scored[0] if scored else None
+        best_url = best.get("url", "") if best else ""
+
+        for c in candidates:
+            p = c.get("image_path")
+            if p:
+                try:
+                    Path(p).unlink(missing_ok=True)
+                except Exception:
+                    pass
+
+        logger.info(
+            "[数字人封面] 智能选帧完成: candidates=%d best_score=%s",
+            len(candidates),
+            best.get("score") if best else "n/a",
+        )
+        return best_url
+
+    except Exception:
+        logger.warning("[数字人封面] 智能选帧失败", exc_info=True)
+        return ""
+
+
+def persist_cover_to_oss(
+    frame_url: str,
+    *,
+    job_id: str = "",
+    prefix: str = "ai-avatar/covers",
+) -> str:
+    """下载最佳帧图并转存到 OSS，返回公网封面 URL（预签名）.
+
+    封面来自最终成片抽帧，帧本身已含标题，本函数不再做任何文字/图片叠加。
+    """
+    if not frame_url:
+        return ""
+    tmp_path: Optional[str] = None
+    try:
+        import httpx
+
+        with httpx.Client(timeout=BEST_FRAME_DOWNLOAD_TIMEOUT, follow_redirects=True) as client:
+            resp = client.get(frame_url)
+            resp.raise_for_status()
+            if not resp.content:
+                logger.warning("[数字人封面] 帧图内容为空: %s", frame_url[:80])
+                return frame_url
+
+            with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as tmp:
+                tmp.write(resp.content)
+                tmp_path = tmp.name
+
+        from packages.shared.storage import get_shared_storage_service
+
+        storage = get_shared_storage_service()
+        token = job_id or uuid.uuid4().hex[:12]
+        cover_key = f"{prefix}/{token}/cover_{uuid.uuid4().hex[:8]}.jpg"
+
+        public_url = storage.upload_file(
+            file_or_path=tmp_path,
+            storage_key=cover_key,
+            content_type="image/jpeg",
+        )
+        logger.info("[数字人封面] 封面已转存 OSS: key=%s", cover_key)
+        if public_url:
+            signed = storage.get_download_url(cover_key, expires_seconds=86400)
+            return signed
+        return frame_url
+    except Exception:
+        logger.warning("[数字人封面] 封面转存 OSS 失败，返回原始 URL", exc_info=True)
+        return frame_url
+    finally:
+        if tmp_path:
+            try:
+                Path(tmp_path).unlink(missing_ok=True)
+            except Exception:
+                pass
+
+
+def generate_smart_cover(
+    video_url: str,
+    *,
+    job_id: str = "",
+    max_frames: int = 5,
+) -> str:
+    """一站式：MediaKit 智能抽帧选最佳 → 转存 OSS。失败返回空字符串。
+
+    封面从最终成片抽帧，不再叠加任何标题（帧本身已含）。
+    """
+    best_frame = select_best_cover_frame(video_url, max_frames=max_frames)
+    if not best_frame:
+        return ""
+    return persist_cover_to_oss(best_frame, job_id=job_id)

apps/api/app/services/ai_avatar_render_service.py

@@ -0,0 +1,658 @@
+"""AI数字人渲染合成 Service — #1798.
+
+职责：
+- 创建/查询/取消渲染任务
+- 调用 Celery 异步任务执行渲染
+- B-roll 合成 + 标题叠加 + 封面提取
+- 用户隔离
+"""
+
+from __future__ import annotations
+
+import base64
+import binascii
+import logging
+import os
+import subprocess
+import tempfile
+import uuid
+from datetime import datetime, timezone
+from typing import Any, Optional
+
+from sqlalchemy.orm import Session
+
+from packages.adapters.sqlalchemy_impl.models import (
+    AiAvatarRenderJob,
+    LipsyncJobModel,
+    ScriptModel,
+)
+from packages.domain.video_filter_builder import (
+    build_broll_overlay_filter,
+    build_title_drawtext_filter,
+    build_title_overlay_filter,
+)
+from packages.shared.storage import get_shared_storage_service
+
+logger = logging.getLogger(__name__)
+
+
+class AiAvatarRenderError(Exception):
+    """渲染服务异常."""
+
+    def __init__(self, message: str, code: str = "RenderError"):
+        self.code = code
+        super().__init__(message)
+
+
+class AiAvatarRenderService:
+    """AI数字人渲染合成 Service."""
+
+    def __init__(self, db: Session):
+        self.db = db
+
+    # ── 创建任务 ──────────────────────────────────────────────────────────
+
+    def create_render_job(
+        self,
+        *,
+        user_id: str,
+        lipsync_job_id: str,
+        script_id: str = "",
+        b_roll_segments: list[dict[str, Any]] | None = None,
+        title_config: dict[str, Any],
+        cover_config: dict[str, Any],
+        project_id: str = "",
+    ) -> AiAvatarRenderJob:
+        """创建渲染任务.
+
+        Raises:
+            AiAvatarRenderError: 校验失败
+        """
+        # 1. 验证对口型任务
+        lipsync_job = (
+            self.db.query(LipsyncJobModel)
+            .filter(
+                LipsyncJobModel.id == lipsync_job_id,
+                LipsyncJobModel.user_id == user_id,
+            )
+            .first()
+        )
+        if lipsync_job is None:
+            raise AiAvatarRenderError("对口型任务不存在", code="LipsyncJobNotFound")
+        if lipsync_job.status != "completed":
+            raise AiAvatarRenderError(
+                f"对口型任务状态为 {lipsync_job.status}，仅 completed 状态可渲染",
+                code="LipsyncJobNotCompleted",
+            )
+        if not lipsync_job.output_video_url:
+            raise AiAvatarRenderError("对口型任务输出视频 URL 为空", code="LipsyncJobNoOutput")
+
+        # 2. 验证文案归属（仅当选了文案库条目时；手动输入文案直生场景 script_id 可空）
+        script_id = (script_id or "").strip()
+        if script_id:
+            script = (
+                self.db.query(ScriptModel)
+                .filter(
+                    ScriptModel.id == script_id,
+                    ScriptModel.user_id == user_id,
+                )
+                .first()
+            )
+            if script is None:
+                raise AiAvatarRenderError("文案不存在或无权访问", code="ScriptNotFound")
+
+        # 3. 创建渲染任务
+        job_id = str(uuid.uuid4())
+        job = AiAvatarRenderJob(
+            id=job_id,
+            user_id=user_id,
+            project_id=project_id,
+            lipsync_job_id=lipsync_job_id,
+            script_id=script_id,
+            b_roll_segments=[s if isinstance(s, dict) else s.model_dump() for s in (b_roll_segments or [])],
+            title_config=title_config,
+            cover_config=cover_config,
+            status="pending",
+        )
+        self.db.add(job)
+        self.db.flush()
+
+        job.submitted_at = datetime.now(timezone.utc)
+        self.db.commit()
+        self.db.refresh(job)
+        return job
+
+    # ── 查询任务 ──────────────────────────────────────────────────────────
+
+    def get_render_job(self, job_id: str, user_id: str) -> Optional[AiAvatarRenderJob]:
+        """获取渲染任务详情（用户隔离）."""
+        return (
+            self.db.query(AiAvatarRenderJob)
+            .filter(
+                AiAvatarRenderJob.id == job_id,
+                AiAvatarRenderJob.user_id == user_id,
+            )
+            .first()
+        )
+
+    def list_render_jobs(
+        self,
+        *,
+        user_id: str,
+        project_id: str = "",
+        status: str = "",
+        offset: int = 0,
+        limit: int = 20,
+    ) -> tuple[list[AiAvatarRenderJob], int]:
+        """获取渲染任务列表（分页 + 用户隔离）."""
+        query = self.db.query(AiAvatarRenderJob).filter(AiAvatarRenderJob.user_id == user_id)
+        if project_id:
+            query = query.filter(AiAvatarRenderJob.project_id == project_id)
+        if status:
+            query = query.filter(AiAvatarRenderJob.status == status)
+
+        total = query.count()
+        items = query.order_by(AiAvatarRenderJob.created_at.desc()).offset(offset).limit(limit).all()
+        return items, total
+
+    # ── 取消任务 ──────────────────────────────────────────────────────────
+
+    def cancel_render_job(self, job_id: str, user_id: str) -> Optional[AiAvatarRenderJob]:
+        """取消渲染任务（仅 pending 状态可取消）."""
+        job = self.get_render_job(job_id, user_id)
+        if job is None:
+            return None
+        if job.status in ("pending", "submitted"):
+            job.status = "cancelled"
+            job.updated_at = datetime.now(timezone.utc)
+            self.db.commit()
+            self.db.refresh(job)
+        return job
+
+    # ── 重试任务 ──────────────────────────────────────────────────────────
+
+    def retry_render_job(self, job_id: str, user_id: str) -> Optional[AiAvatarRenderJob]:
+        """重试失败的渲染任务."""
+        job = self.get_render_job(job_id, user_id)
+        if job is None:
+            return None
+        if job.status != "failed":
+            return None
+        job.status = "pending"
+        job.progress = 0
+        job.error_message = ""
+        job.output_video_url = ""
+        job.output_cover_url = ""
+        job.output_duration = 0.0
+        job.started_at = None
+        job.completed_at = None
+        job.updated_at = datetime.now(timezone.utc)
+        self.db.commit()
+        self.db.refresh(job)
+        return job
+
+    # ── 执行渲染（Celery 异步调用） ──────────────────────────────────────
+
+    def execute_render(self, job_id: str) -> None:
+        """执行渲染管线.
+
+        由 Celery 异步任务调用，流程:
+        1. 下载对口型输出视频 (20%)
+        2. 构建 FFmpeg 滤镜链 (40%)
+        3. 执行 FFmpeg 渲染 (80%)
+        4. 上传到 OSS (95%) — 封面不再自动生成，改由前端主动抽帧
+        5. 更新任务状态 (100%)
+        """
+        job = self.db.query(AiAvatarRenderJob).filter(AiAvatarRenderJob.id == job_id).first()
+        if job is None:
+            logger.error("渲染任务不存在: %s", job_id)
+            return
+
+        if job.status == "cancelled":
+            logger.info("渲染任务已取消: %s", job_id)
+            return
+
+        try:
+            # 更新状态为 processing
+            job.status = "processing"
+            job.started_at = datetime.now(timezone.utc)
+            job.progress = 5
+            job.updated_at = datetime.now(timezone.utc)
+            self.db.commit()
+
+            # 获取对口型任务信息
+            lipsync_job = self.db.query(LipsyncJobModel).filter(LipsyncJobModel.id == job.lipsync_job_id).first()
+            if lipsync_job is None:
+                raise AiAvatarRenderError("关联的对口型任务不存在", code="LipsyncJobNotFound")
+
+            # 1. 下载对口型输出视频 (20%)
+            input_video_path = self._download_video(lipsync_job.output_video_url)
+            job.progress = 20
+            self.db.commit()
+
+            # 2. 构建 FFmpeg 滤镜链 (40%)
+            # 用 ffprobe 探测输入视频分辨率，确保 B-roll 缩放与标题位置与实际输出一致。
+            # AI 数字人对口型输出为 9:16 竖屏，默认兜底 720x1280；探测失败时使用默认值不阻断渲染。
+            output_width, output_height = self._probe_video_resolution(input_video_path)
+            if output_width <= 0 or output_height <= 0:
+                output_width, output_height = 720, 1280
+                logger.info(
+                    "[数字人渲染] ffprobe 探测分辨率失败或无效，使用默认竖屏尺寸 %sx%s",
+                    output_width,
+                    output_height,
+                )
+            else:
+                logger.info("[数字人渲染] 探测输入视频分辨率: %sx%s", output_width, output_height)
+
+            broll_filter, broll_label = build_broll_overlay_filter(
+                b_roll_segments=job.b_roll_segments,
+                video_duration=lipsync_job.output_duration,
+                output_width=output_width,
+                output_height=output_height,
+            )
+
+            # 标题叠加路径：优先前端 Canvas 渲染的 PNG 图层（所见即所得），
+            # 无 title_image_dataurl 时降级到 drawtext 重画文字。
+            title_cfg = job.title_config if isinstance(job.title_config, dict) else {}
+            title_dataurl = (title_cfg or {}).get("title_image_dataurl") if title_cfg else None
+            use_title_png = isinstance(title_dataurl, str) and title_dataurl.startswith("data:image/")
+            title_input_index = 1 + len(job.b_roll_segments or []) if use_title_png else None
+
+            job.progress = 40
+            self.db.commit()
+
+            # 3. 执行 FFmpeg 渲染 (80%)
+            with tempfile.TemporaryDirectory() as tmpdir:
+                output_video_path = os.path.join(tmpdir, "output.mp4")
+
+                # 在临时目录里解码保存标题 PNG（with 退出自动清理）
+                title_png_path: Optional[str] = None
+                extra_inputs: list[str] = []
+                title_filter = None
+                if use_title_png:
+                    try:
+                        title_png_path = os.path.join(tmpdir, f"title_{job.id}.png")
+                        self._save_title_dataurl_to_file(title_dataurl, dst_path=title_png_path)
+                        extra_inputs.append(title_png_path)
+                        logger.info(
+                            "[数字人渲染] 标题 PNG 已保存: %s (input index %d)", title_png_path, title_input_index
+                        )
+                    except Exception as exc:
+                        logger.warning("[数字人渲染] 标题 PNG 解码/保存失败，降级 drawtext: %s", exc)
+                        title_png_path = None
+                        extra_inputs = []
+
+                # 构建标题滤镜
+                final_label = None
+                if title_png_path and title_input_index is not None:
+                    title_input_label = f"[{title_input_index}:v]"
+                    base_label = f"[{broll_label}]" if broll_label else "[0:v]"
+                    title_filter = build_title_overlay_filter(
+                        title_cfg,
+                        output_width=output_width,
+                        output_height=output_height,
+                        title_png_path=title_png_path,
+                        title_input_label=title_input_label,
+                        base_label=base_label,
+                        output_label="vout_titled",
+                    )
+                    if not title_filter:
+                        # build 返回 None → 文件不存在（极端并发情况），降级 drawtext
+                        title_png_path = None
+                        extra_inputs = []
+
+                if title_png_path:
+                    # overlay 路径
+                    if broll_filter and title_filter:
+                        filter_complex = broll_filter + f";{title_filter}"
+                    elif broll_filter:
+                        filter_complex = broll_filter
+                        final_label = broll_label
+                    elif title_filter:
+                        filter_complex = title_filter
+                    else:
+                        filter_complex = ""
+                    if title_filter:
+                        final_label = "vout_titled"
+                    elif not final_label:
+                        final_label = None
+                else:
+                    # 降级：drawtext 重画文字
+                    title_filter = build_title_drawtext_filter(
+                        title_cfg,
+                        output_width=output_width,
+                        output_height=output_height,
+                    )
+                    if broll_filter and title_filter:
+                        filter_complex = broll_filter + f";[{broll_label}]{title_filter}[vout_titled]"
+                        final_label = "vout_titled"
+                    elif broll_filter:
+                        filter_complex = broll_filter
+                        final_label = broll_label
+                    elif title_filter:
+                        filter_complex = f"[0:v]{title_filter}[vout_titled]"
+                        final_label = "vout_titled"
+                    else:
+                        filter_complex = ""
+                        final_label = None
+
+                cmd_list = self._build_ffmpeg_command(
+                    input_video=input_video_path,
+                    b_roll_segments=job.b_roll_segments,
+                    extra_inputs=extra_inputs,
+                    filter_complex=filter_complex,
+                    final_label=final_label,
+                    output_path=output_video_path,
+                )
+
+                try:
+                    render_result = subprocess.run(
+                        cmd_list,
+                        capture_output=True,
+                        text=True,
+                        timeout=600,
+                    )
+                except subprocess.TimeoutExpired as exc:
+                    raise AiAvatarRenderError(
+                        "FFmpeg 渲染超时（600s）",
+                        code="FFmpegTimeout",
+                    ) from exc
+
+                if render_result.returncode != 0:
+                    stderr_tail = (render_result.stderr or "").strip()[-800:]
+                    raise AiAvatarRenderError(
+                        f"FFmpeg 渲染失败，退出码: {render_result.returncode}, stderr: {stderr_tail}",
+                        code="FFmpegFailed",
+                    )
+
+                job.progress = 80
+                self.db.commit()
+
+                # 4/5. 上传成片到 OSS (95%) —— 已砍掉自动抽封面逻辑（步骤⑤）；
+                # 封面由前端在渲染完成后通过 /smart-cover 接口主动从成片抽帧，不阻塞渲染链路。
+                output_video_url = self._upload_to_oss(output_video_path, f"ai-avatar/{job_id}/output.mp4")
+                job.output_video_url = output_video_url
+
+                # 封面透传：如果用户已在 cover_config 中选定封面 URL（mode=upload 的自定义上传 或
+                # mode=auto_frame 已有的智能封面结果），直接透传到 output_cover_url，不再重新截帧。
+                if isinstance(job.cover_config, dict):
+                    _pre_cover_url = (
+                        job.cover_config.get("url")
+                        or job.cover_config.get("imageUrl")
+                        or job.cover_config.get("cover_url")
+                        or ""
+                    )
+                    if _pre_cover_url:
+                        job.output_cover_url = _pre_cover_url
+                        logger.info("[数字人渲染] 使用用户已选定封面 URL: job_id=%s", job_id)
+
+                # 获取输出视频时长
+                job.output_duration = lipsync_job.output_duration
+                job.progress = 95
+                self.db.commit()
+
+            # 6. 完成
+            job.status = "completed"
+            job.progress = 100
+            job.completed_at = datetime.now(timezone.utc)
+            job.updated_at = datetime.now(timezone.utc)
+            self.db.commit()
+            logger.info("渲染任务完成: %s", job_id)
+
+            # 7. 渲染完成，停留在「待选封面」状态：不自动入库。
+            #    用户在前端选好封面、点「完成」后，由 /{job_id}/finalize 接口显式入库。
+            logger.info("渲染任务完成，等待用户选择封面后入库: job_id=%s", job_id)
+
+        except AiAvatarRenderError as exc:
+            job.status = "failed"
+            job.error_message = str(exc)
+            job.updated_at = datetime.now(timezone.utc)
+            self.db.commit()
+            logger.error("渲染任务失败 [%s]: %s", job_id, exc)
+            raise
+        except Exception as exc:
+            job.status = "failed"
+            job.error_message = f"渲染异常: {str(exc)}"
+            job.updated_at = datetime.now(timezone.utc)
+            self.db.commit()
+            logger.exception("渲染任务异常 [%s]", job_id)
+            raise
+
+    def _persist_to_library(self, job: AiAvatarRenderJob, cover_url: Optional[str] = None):
+        """将渲染结果写入成片库，返回 GeneratedVideo 领域对象.
+
+        Args:
+            job: 渲染任务（必须 status=completed 且 output_video_url 非空）
+            cover_url: 可选的封面 URL 覆盖（finalize 时传入即优先使用，否则取 job.output_cover_url）
+        """
+        from packages.adapters.sqlalchemy_impl.generated_video_repository import (
+            SQLAlchemyGeneratedVideoRepository,
+        )
+        from packages.domain.generated_video import GeneratedVideo
+
+        clip_name = f"AI数字人_{job.id[:8]}"
+        # AI数字人入口是独立页面，前端可能不传 project_id（无项目概念），
+        # 兜底为 "ai_avatar" 避免 DB 非空约束/查询问题；generation_task_id 用 render_job_id 便于反查。
+        clip_project_id = (job.project_id or "").strip() or "ai_avatar"
+        clip_generation_task_id = job.id
+        effective_cover = (cover_url or "").strip() if cover_url else (job.output_cover_url or "").strip()
+        clip = GeneratedVideo.create(
+            project_id=clip_project_id,
+            generation_task_id=clip_generation_task_id,
+            name=clip_name,
+            file_url=job.output_video_url,
+            user_id=job.user_id,
+            duration=job.output_duration or 0.0,
+            thumbnail_url=effective_cover or None,
+            generation_params={
+                "source": "ai_avatar_render",
+                "render_job_id": job.id,
+            },
+        )
+        video_repo = SQLAlchemyGeneratedVideoRepository(self.db)
+        video_repo.create(clip)
+        logger.info("[数字人渲染] 成片已入库: clip_id=%s render_job=%s", clip.id, job.id)
+        return clip
+
+    def finalize_job(self, job_id: str, user_id: str, cover_url: Optional[str] = None):
+        """用户在前端点「完成」后调用：将已 completed 的渲染任务正式入库到成片库.
+
+        - 必须 status=completed 才可调用
+        - cover_url 若传入则优先使用并回写 job.output_cover_url；否则使用 job.output_cover_url（smart-cover/custom-cover 已写入）
+        - 幂等：已入库则返回已存在的 GeneratedVideo
+        """
+        from packages.adapters.sqlalchemy_impl.generated_video_repository import (
+            SQLAlchemyGeneratedVideoRepository,
+        )
+        from packages.adapters.sqlalchemy_impl.models import GeneratedVideoModel
+
+        job = self.get_render_job(job_id, user_id)
+        if job is None:
+            raise AiAvatarRenderError("渲染任务不存在", code="RenderJobNotFound")
+        if job.status != "completed":
+            raise AiAvatarRenderError(f"渲染任务未完成（当前状态: {job.status}），无法入库", code="RenderNotCompleted")
+        if not (job.output_video_url or "").strip():
+            raise AiAvatarRenderError("渲染成片视频 URL 为空，无法入库", code="OutputVideoMissing")
+
+        # 幂等检查：已入库直接返回现有记录（通过 generation_task_id=job_id 识别，
+        # 因为入库时 generation_task_id 被设置为 render_job_id 自身）
+        existing = (
+            self.db.query(GeneratedVideoModel)
+            .filter(
+                GeneratedVideoModel.user_id == user_id,
+                GeneratedVideoModel.generation_task_id == job_id,
+            )
+            .first()
+        )
+        if existing is not None:
+            logger.info("[数字人渲染] finalize 幂等命中，返回已存在记录: clip_id=%s job_id=%s", existing.id, job_id)
+            return SQLAlchemyGeneratedVideoRepository(self.db).get(existing.id)
+
+        # 传入 cover_url 时回写到 job
+        if cover_url and cover_url.strip():
+            job.output_cover_url = cover_url.strip()
+            # 同步更新 cover_config，保持 smart-cover 路径一致
+            if isinstance(job.cover_config, dict):
+                job.cover_config = {**job.cover_config, "mode": "auto_frame", "url": cover_url.strip()}
+            job.updated_at = datetime.now(timezone.utc)
+            self.db.commit()
+
+        return self._persist_to_library(job, cover_url=cover_url)
+
+    def _download_video(self, url: str) -> str:
+        """下载视频到临时文件."""
+        import httpx
+
+        tmp = tempfile.NamedTemporaryFile(suffix=".mp4", delete=False)
+        try:
+            with httpx.Client(timeout=120) as client:
+                resp = client.get(url)
+                resp.raise_for_status()
+                tmp.write(resp.content)
+            return tmp.name
+        except Exception:
+            if os.path.exists(tmp.name):
+                os.unlink(tmp.name)
+            raise
+
+    @staticmethod
+    def _save_title_dataurl_to_file(dataurl: str, *, dst_path: str | None = None, job_id: str = "") -> str:
+        """解码前端传来的 data:image/png;base64,... 并保存为本地 PNG 文件。
+
+        Args:
+            dataurl: 完整 dataURL 字符串
+            dst_path: 指定输出路径；为 None 时创建临时文件并返回路径
+            job_id: 仅在 dst_path 为空时用于临时文件命名
+
+        Returns:
+            保存后的本地文件路径
+        """
+        if not isinstance(dataurl, str) or not dataurl.startswith("data:image/"):
+            raise ValueError("title_image_dataurl 不是合法的 data:image URL")
+        # 拆分 data:image/png;base64,<payload>
+        try:
+            header, b64 = dataurl.split(",", 1)
+        except ValueError as exc:
+            raise ValueError("title_image_dataurl 缺少 base64 payload") from exc
+        if "base64" not in header:
+            raise ValueError("title_image_dataurl 不是 base64 编码")
+        try:
+            png_bytes = base64.b64decode(b64, validate=True)
+        except (binascii.Error, ValueError) as exc:
+            raise ValueError(f"title_image_dataurl base64 解码失败: {exc}") from exc
+        if not png_bytes:
+            raise ValueError("title_image_dataurl 解码后为空")
+
+        if dst_path:
+            out_path = dst_path
+            with open(out_path, "wb") as f:
+                f.write(png_bytes)
+            return out_path
+        suffix = f"_title_{job_id}.png" if job_id else "_title.png"
+        with tempfile.NamedTemporaryFile(suffix=suffix, delete=False) as tmp:
+            tmp.write(png_bytes)
+            return tmp.name
+
+    @staticmethod
+    def _probe_video_resolution(video_path: str) -> tuple[int, int]:
+        """用 ffprobe 探测视频分辨率，返回 (width, height)；失败返回 (0, 0)。"""
+        try:
+            result = subprocess.run(
+                [
+                    "ffprobe",
+                    "-v",
+                    "error",
+                    "-select_streams",
+                    "v:0",
+                    "-show_entries",
+                    "stream=width,height",
+                    "-of",
+                    "csv=p=0:s=x",
+                    video_path,
+                ],
+                capture_output=True,
+                text=True,
+                timeout=15,
+            )
+            if result.returncode == 0 and result.stdout.strip():
+                parts = result.stdout.strip().split("x")
+                if len(parts) == 2:
+                    w, h = int(parts[0]), int(parts[1])
+                    if w > 0 and h > 0:
+                        return w, h
+        except Exception as exc:
+            logger.warning("[数字人渲染] ffprobe 探测分辨率失败: %s", exc)
+        return 0, 0
+
+    def _build_ffmpeg_command(
+        self,
+        *,
+        input_video: str,
+        b_roll_segments: list[dict[str, Any]],
+        extra_inputs: list[str] | None = None,
+        filter_complex: str,
+        final_label: Optional[str],
+        output_path: str,
+    ) -> list[str]:
+        """构建 FFmpeg 命令（list 形式，shell=False）.
+
+        根因修复 #1798 P0：OSS 预签名 URL 含 `&Expires=...&Signature=...` 特殊字符，
+        os.system(shell=True) 会把 `&` 解释为后台命令分隔符，导致 -filter_complex 被
+        当成独立命令报 sh: -filter_complex: not found（exit 127 → Python 32512）。
+        list + shell=False 彻底规避 shell 转义问题。
+        """
+        cmd: list[str] = ["ffmpeg", "-i", input_video]
+        for seg in b_roll_segments:
+            asset_url = seg.get("asset_url", "")
+            if asset_url:
+                cmd.extend(["-i", asset_url])
+        # 额外输入（例如前端 Canvas 渲染的标题 PNG）
+        for extra in extra_inputs or []:
+            cmd.extend(["-i", extra])
+
+        if filter_complex and final_label:
+            cmd.extend(
+                [
+                    "-filter_complex",
+                    filter_complex,
+                    "-map",
+                    f"[{final_label}]",
+                    "-map",
+                    "0:a?",
+                ]
+            )
+        elif filter_complex:
+            cmd.extend(["-filter_complex", filter_complex])
+
+        cmd.extend(
+            [
+                "-c:v",
+                "libx264",
+                "-preset",
+                "veryfast",
+                "-crf",
+                "23",
+                "-c:a",
+                "aac",
+                "-b:a",
+                "128k",
+                "-y",
+                output_path,
+            ]
+        )
+        return cmd
+
+    def _upload_to_oss(self, local_path: str, oss_key: str) -> str:
+        """上传文件到 OSS，返回 URL.
+
+        使用 SharedStorageService 统一存储服务。
+        """
+        storage = get_shared_storage_service()
+        url = storage.upload_file_smart(local_path, oss_key)
+        if url is None:
+            raise AiAvatarRenderError(
+                f"上传文件到 OSS 失败: {oss_key}",
+                code="OSSUploadFailed",
+            )
+        logger.info("上传文件到 OSS 成功: %s -> %s", local_path, url)
+        return url

apps/api/app/services/edit_plan_service.py

@@ -473,6 +473,7 @@ class EditPlanService:
         name_suffix: str = "变体",
         voice_duration: float = 0.0,
         rng=None,
+        batch_segments: dict[str, list[tuple[float, float]]] | None = None,
     ) -> EditPlan:
         """为批量变体生成独立 plan：完整重跑单视频选片流程（#1743）。
 
@@ -489,6 +490,8 @@ class EditPlanService:
             created_by_user_id: 新 plan 归属用户。
             name_suffix: plan 名后缀。
             rng: 可选随机数（测试注入种子）。
+            batch_segments: 可选，外部传入的批次内已使用素材区间（前序变体避让用）。
+                传入时作为初始避让对象；未传则保持原逻辑从源 plan clips 自建（向后兼容）。
 
         Raises:
             ValueError: 源 plan 不存在/无片段、素材池为空或时长全未知。
@@ -537,16 +540,26 @@ class EditPlanService:
             voice = float(voice_duration or 0.0)
         except (TypeError, ValueError):
             voice = 0.0
+        rhythm_template_for_reselect = None
+        if source.config:
+            rhythm_template_for_reselect = source.config.get("rhythm_template")
+
         if voice > 0 and source_clips_data:
             from packages.domain.voice_duration_planner import plan_clip_durations
 
             _effects: list[str | None] = [c.get("transition_effect") for c in source_clips_data]
             _tdurs: list[float] = [float(c.get("transition_duration") or 0.0) for c in source_clips_data]
+            # #1855 P0：先占位durations为空dict，真正查durations在后面pool_ids确定后执行；
+            # plan_clip_durations 的 asset_durations 参数在该函数中仅作最大段长钳制，
+            # 这里先不依赖它（durations 还没查），传 None 让planner用默认策略；
+            # 真正的asset_durations会在后面 clips_data 生成时传入 reselect_clips_for_variant
             target_durations = plan_clip_durations(
                 len(source_clips_data),
                 voice,
                 transition_effects=_effects,
                 transition_durations=_tdurs,
+                rhythm_template=rhythm_template_for_reselect,
+                asset_durations=None,
             )
             if target_durations:
                 for _c, _d in zip(source_clips_data, target_durations, strict=False):
@@ -582,12 +595,18 @@ class EditPlanService:
             created_by_user_id=created_by_user_id or (source.created_by_user_id or ""),
         )
 
-        # 批次内区间：以源 plan（变体 0）片段为初始避让对象
-        batch_segments: dict[str, list[tuple[float, float]]] = {}
-        for c in clips:
-            if c.asset_id and float(c.duration or 0) > 0:
-                st = float(c.start_time or 0.0)
-                batch_segments.setdefault(c.asset_id, []).append((st, st + float(c.duration)))
+        # 批次内区间：外部传入时使用外部传入（含前序变体已用区间）；
+        # 否则保持原逻辑从源 plan clips 自建（向后兼容）
+        if batch_segments is not None:
+            batch_segments_resolved: dict[str, list[tuple[float, float]]] = {
+                k: list(v) for k, v in batch_segments.items()
+            }
+        else:
+            batch_segments_resolved = {}
+            for c in clips:
+                if c.asset_id and float(c.duration or 0) > 0:
+                    st = float(c.start_time or 0.0)
+                    batch_segments_resolved.setdefault(c.asset_id, []).append((st, st + float(c.duration)))
 
         clips_data = reselect_clips_for_variant(
             source_clips_data,
@@ -595,7 +614,7 @@ class EditPlanService:
             asset_durations=durations,
             asset_scene_points=scene_points,
             historical_used_segments=historical,
-            batch_segments=batch_segments,
+            batch_segments=batch_segments_resolved,
             target_durations=target_durations,
             rng=rng,
         )
@@ -767,6 +786,17 @@ class EditPlanService:
         if plan is None:
             return None
 
+        # #1855 P0：幂等判断——如果已成功分配过且当前 total_duration 已接近 voice_duration，直接返回
+        try:
+            existing_mark = None
+            if plan.config:
+                existing_mark = plan.config.get("voice_duration_applied")
+            cur_total = float(plan.total_duration or 0.0)
+            if existing_mark is not None and abs(existing_mark - voice) < 1e-6 and abs(cur_total - voice) < 0.5:
+                return plan
+        except Exception:
+            pass
+
         clips: List[EditPlanClip] = []
         skip, page = 0, 500
         while True:
@@ -789,20 +819,22 @@ class EditPlanService:
         if plan and hasattr(plan, "config") and plan.config:
             rhythm_template = plan.config.get("rhythm_template")
 
+        # #1768：先获取素材时长，传入 plan_clip_durations 用于最大片段钳制
+        asset_ids = [c.asset_id for c in clips if c.asset_id]
+        durations = self.get_asset_durations(asset_ids)
+        asset_durations_for_plan = [durations.get(c.asset_id, 0.0) for c in clips]
+
         target = plan_clip_durations(
             len(clips),
             voice,
             transition_effects=[c.transition_effect for c in clips],
             transition_durations=[float(c.transition_duration or 0.0) for c in clips],
             rhythm_template=rhythm_template,
+            asset_durations=asset_durations_for_plan,
         )
         if not target:
             return None
 
-        # 素材时长（短素材起点钳 0）
-        asset_ids = [c.asset_id for c in clips if c.asset_id]
-        durations = self.get_asset_durations(asset_ids)
-
         clips_data: list[dict] = []
         for i, c in enumerate(clips):
             dur = float(target[i])
@@ -836,6 +868,10 @@ class EditPlanService:
         )
         try:
             plan.total_duration = net
+            # #1855 P0：写入幂等标记，避免二次调用时只重分配 duration 不重算 start_time
+            new_cfg = dict(plan.config or {})
+            new_cfg["voice_duration_applied"] = voice
+            plan.config = new_cfg
             db = self._clip_repo.session
             db.commit()
         except Exception:
@@ -876,6 +912,69 @@ class EditPlanService:
         rng = rng or _random.Random()
         plan_ids: list[str] = []
 
+        # #1855 P0：先确定片段数 clip_count（用于节奏模板生成长度匹配）
+        from packages.domain.bgm_pool import allocate_bgm_pool_for_variants
+        from packages.domain.variant_plan_selector import (
+            generate_pixel_perturbation,
+            generate_visual_perturbation,
+        )
+        from packages.domain.voice_duration_planner import RHYTHM_TEMPLATES, adapt_template_length
+
+        clip_count = 0
+        # 从源 plan 获取片段数（分页读，避免关系加载问题）
+        _sclips: list = []
+        _sk, _pg = 0, 500
+        while True:
+            _b = self._clip_repo.list_by_plan(source_plan_id, skip=_sk, limit=_pg)
+            if not _b:
+                break
+            _sclips.extend(_b)
+            if len(_b) < _pg:
+                break
+            _sk += _pg
+        clip_count = len(_sclips)
+
+        # 预先生成所有 N 个变体的节奏模板/BGM/扰动参数（时机提前到选片前写入config）
+        rhythm_templates_for_variants: list = []
+        for _idx in range(count):
+            if clip_count > 0:
+                variant_seed = rng.randint(0, 999999)
+                _tpl = adapt_template_length(RHYTHM_TEMPLATES[variant_seed % len(RHYTHM_TEMPLATES)], clip_count)
+                rhythm_templates_for_variants.append(_tpl)
+            else:
+                rhythm_templates_for_variants.append(None)
+
+        source_bgm_config: dict = {}
+        source_plan = self.get_plan(source_plan_id)
+        if source_plan and source_plan.config:
+            source_bgm_config = source_plan.config.get("bgm", {}) or {}
+        variant_seeds_for_bgm = [rng.randint(0, 999999) for _ in range(count)]
+        bgm_pool_assignments = allocate_bgm_pool_for_variants(source_bgm_config, variant_seeds_for_bgm)
+
+        def _build_variant_config_update(idx: int) -> dict:
+            """构建单个变体的 config 更新（节奏模板/BGM/视觉/像素扰动）。"""
+            upd: dict = {}
+            try:
+                perturbation = generate_visual_perturbation(rng)
+                if idx == 0:
+                    perturbation["hflip"] = False
+                upd["visual_perturbation"] = perturbation
+            except Exception:
+                logger.exception("变体 %d 视觉扰动生成失败（不阻断）", idx)
+            try:
+                pixel_pert = generate_pixel_perturbation(rng)
+                upd["pixel_perturbation"] = pixel_pert
+            except Exception:
+                logger.exception("变体 %d 像素扰动生成失败（不阻断）", idx)
+            rt = rhythm_templates_for_variants[idx] if idx < len(rhythm_templates_for_variants) else None
+            if rt is not None:
+                upd["rhythm_template"] = rt
+            if idx < len(bgm_pool_assignments):
+                existing_bgm = dict((source_plan.config or {}).get("bgm", {}) or {})
+                existing_bgm.update(bgm_pool_assignments[idx])
+                upd["bgm"] = existing_bgm
+            return upd
+
         # 变体 0：clone（片段结构同源 plan，起点重算），不污染源 plan
         plan0 = self.clone_plan_for_variant(
             source_plan_id,
@@ -888,6 +987,15 @@ class EditPlanService:
                 v0_voice = float(voice_durations[0] or 0.0)
             except (TypeError, ValueError):
                 v0_voice = 0.0
+
+        # #1855 P0：在配音分配前先写入变体0的节奏模板/扰动/BGM，确保 apply_voice_duration_to_plan 能读到 rhythm_template
+        try:
+            _cfg0 = _build_variant_config_update(0)
+            if _cfg0:
+                self.update_plan_config(plan0.id, _cfg0)
+        except Exception:
+            logger.exception("变体0 配置写入失败（不阻断）: plan=%s", plan0.id)
+
         if v0_voice > 0:
             try:
                 self.apply_voice_duration_to_plan(plan0.id, v0_voice)
@@ -895,7 +1003,12 @@ class EditPlanService:
                 logger.exception("变体0 配音分配失败（不阻断）: plan=%s", plan0.id)
         plan_ids.append(plan0.id)
 
-        # 变体 1..N-1：独立选片
+        # #1855 P0：批次内素材区间避让表——从变体0实际落库的clips构建初始值（公共函数）
+        from app.services.generation_common import collect_plan_segments as _collect_plan_segments
+
+        batch_segments_acc: dict[str, list[tuple[float, float]]] = _collect_plan_segments(plan0.id, self._clip_repo)
+
+        # 变体 1..N-1：独立选片（传入累积的 batch_segments 做区间避让）
         for i in range(1, count):
             voice = 0.0
             if voice_durations and i < len(voice_durations):
@@ -903,6 +1016,14 @@ class EditPlanService:
                     voice = float(voice_durations[i] or 0.0)
                 except (TypeError, ValueError):
                     voice = 0.0
+
+            # #1855 P0：在reselect前先为"变体i"准备配置更新——但reselect内部复制的是source.config，
+            # 所以每个变体独立的节奏模板需要在reselect后单独写入config；
+            # 但 plan_clip_durations 用的是 source.config.rhythm_template（即源plan的节奏模板），
+            # 为了让每个变体在选片阶段就使用自己的节奏模板分配段长，这里采用：
+            #   - reselect 仍使用源 plan 的 rhythm_template（保持片段骨架一致）
+            #   - 选片完成后立即写入该变体自己的 rhythm_template/扰动/BGM 到config，
+            #     后续不再二次 apply_voice_duration_to_plan（由幂等标记跳过）
             variant = self.reselect_plan_for_variant(
                 source_plan_id,
                 candidate_asset_ids,
@@ -910,50 +1031,26 @@ class EditPlanService:
                 name_suffix=f"变体{i + 1}",
                 voice_duration=voice,
                 rng=rng,
+                batch_segments=batch_segments_acc,
             )
+
+            # 选片完成后写入该变体的独立配置（节奏模板/扰动/BGM）
+            try:
+                _cfgi = _build_variant_config_update(i)
+                if _cfgi:
+                    self.update_plan_config(variant.id, _cfgi)
+            except Exception:
+                logger.exception("变体 %d 配置写入失败（不阻断）: plan=%s", i, variant.id)
+
             plan_ids.append(variant.id)
 
-        # #1764：为每个变体生成独立节奏模板（让批量视频片段时长分布不同）
-        from packages.domain.voice_duration_planner import RHYTHM_TEMPLATES, adapt_template_length
-
-        clip_count = 0
-        if voice_durations and len(voice_durations) > 0:
-            # 从源 plan 获取片段数
-            source_plan = self.get_plan(source_plan_id)
-            if source_plan and hasattr(source_plan, "clips"):
-                clip_count = len(list(source_plan.clips)) if source_plan.clips else 0
-
-        rhythm_templates_for_variants = []
-        if clip_count > 0:
-            for idx in range(len(plan_ids)):
-                # 每个变体用不同的 seed 选择节奏模板
-                variant_seed = rng.randint(0, 999999)
-                template = adapt_template_length(RHYTHM_TEMPLATES[variant_seed % len(RHYTHM_TEMPLATES)], clip_count)
-                rhythm_templates_for_variants.append(template)
-                logger.info("变体 %d 节奏模板: plan=%s template=%s", idx, plan_ids[idx], template)
-
-        # 为每个变体生成独立视觉扰动参数（让批量视频画面本身更不同）
-        from packages.domain.variant_plan_selector import generate_visual_perturbation
-
-        for idx, pid in enumerate(plan_ids):
+            # #1855 P0：把当前新变体的 clips 区间追加到 batch_segments，供下一变体避让
             try:
-                perturbation = generate_visual_perturbation(rng)
-                # 变体 0 不做 hflip（保持预览 plan 原始画面方向）
-                if idx == 0:
-                    perturbation["hflip"] = False
-                config_update = {"visual_perturbation": perturbation}
-                # #1764：写入节奏模板
-                if idx < len(rhythm_templates_for_variants):
-                    config_update["rhythm_template"] = rhythm_templates_for_variants[idx]
-                # #1765：写入像素级扰动滤镜
-                from packages.domain.variant_plan_selector import generate_pixel_perturbation
-
-                pixel_pert = generate_pixel_perturbation(rng)
-                config_update["pixel_perturbation"] = pixel_pert
-                self.update_plan_config(pid, config_update)
-                logger.info("变体 %d 视觉扰动+像素扰动: plan=%s vis=%s pix=%s", idx, pid, perturbation, pixel_pert)
+                _new_segs = _collect_plan_segments(variant.id, self._clip_repo)
+                for _aid, _ivs in _new_segs.items():
+                    batch_segments_acc.setdefault(_aid, []).extend(_ivs)
             except Exception:
-                logger.exception("变体 %d 视觉扰动生成失败（不阻断）: plan=%s", idx, pid)
+                logger.exception("变体 %d 区间收集失败（不阻断）: plan=%s", i, variant.id)
 
         # 标记所有变体 plan 的 clips 为 ready（已分配素材+起点，语义上就是 ready）
         for pid in plan_ids:
@@ -1187,7 +1284,7 @@ class EditPlanService:
         config_asset_ids_count = len((plan.config or {}).get("asset_ids", []))
         clips_with_asset_count = sum(1 for c in clips if c.asset_id)
         logger.info(
-            "can_generate 诊断: plan=%s status=%s total_clips=%d " "clips_with_asset=%d config_asset_ids_count=%d",
+            "can_generate 诊断: plan=%s status=%s total_clips=%d clips_with_asset=%d config_asset_ids_count=%d",
             plan_id,
             plan.status,
             len(clips),
@@ -1199,7 +1296,7 @@ class EditPlanService:
             config_asset_ids = (plan.config or {}).get("asset_ids", [])
             if config_asset_ids:
                 logger.warning(
-                    "can_generate 最后防线触发: plan=%s clips=%d 均无素材，" "从 config.asset_ids(%d个) 自动分配",
+                    "can_generate 最后防线触发: plan=%s clips=%d 均无素材，从 config.asset_ids(%d个) 自动分配",
                     plan_id,
                     len(clips),
                     len(config_asset_ids),
@@ -1231,7 +1328,7 @@ class EditPlanService:
                     return False, "没有可渲染的就绪片段，自动修复后仍未分配素材"
             else:
                 logger.warning(
-                    "can_generate 失败: plan=%s clips=%d 均无素材，" "且 config.asset_ids 为空，无法自动修复",
+                    "can_generate 失败: plan=%s clips=%d 均无素材，且 config.asset_ids 为空，无法自动修复",
                     plan_id,
                     len(clips),
                 )

apps/api/app/services/generation_common.py

@@ -0,0 +1,175 @@
+"""智能剪辑公共服务辅助函数（从 route 层下沉）。
+
+集中管理：
+- query_voice_durations：批量查询配音素材时长
+- writeback_edit_plan_config：任务入队后回写 EditPlan.config
+- collect_plan_segments：分页读取 plan clips 构建素材区间表（变体避让用）
+- resolve_latest_plan_by_template：按 template_id + user_id 查最新 EditPlan
+
+设计原则：
+- 无副作用的纯查询 / 幂等写回；失败一律不阻断主流程（记日志 + 返回安全默认值）
+- 不依赖 FastAPI / HTTPException，便于 service 层和 worker 复用
+"""
+
+from __future__ import annotations
+
+import logging
+from typing import Any, Optional
+
+from sqlalchemy.orm import Session
+
+logger = logging.getLogger(__name__)
+
+
+def query_voice_durations(db: Session, voice_ids: list[str]) -> list[float]:
+    """批量查询配音素材时长（秒），#1749 配音时长分配用。
+
+    逐项 try/float 硬化：MagicMock/异常/缺失 → 0.0（无配音不分配，不阻断）。
+
+    #1855 P0修复：不再对 voice_ids 去重，保持与调用方传入顺序/长度一致，
+    允许同配音id多次出现时返回相同时长（支持"同配音N变体"的时长对齐）。
+    """
+    raw_ids = list(voice_ids or [])
+    if not raw_ids:
+        return []
+    unique_ids: list[str] = []
+    _seen: set[str] = set()
+    for v in raw_ids:
+        if v and v not in _seen:
+            _seen.add(v)
+            unique_ids.append(v)
+    if not unique_ids:
+        return [0.0 for _ in raw_ids]
+    try:
+        from packages.adapters.sqlalchemy_impl.models import AssetModel
+
+        rows = db.query(AssetModel.id, AssetModel.duration).filter(AssetModel.id.in_(unique_ids)).all()
+        dur_map: dict[str, float] = {}
+        for row in rows:
+            try:
+                dur_map[row[0]] = float(row[1] or 0.0)
+            except (TypeError, ValueError):
+                dur_map[row[0]] = 0.0
+        return [dur_map.get(v, 0.0) if v else 0.0 for v in raw_ids]
+    except Exception:
+        logger.warning("[generation_common] 配音时长查询失败（按无配音处理，不阻断）", exc_info=True)
+        return [0.0 for _ in raw_ids]
+
+
+def writeback_edit_plan_config(
+    plan_id: str,
+    task_id: str,
+    title_config: dict | None,
+    db: Session,
+) -> None:
+    """任务入队成功后，回写 EditPlan.config：generation_task_id + title_config。
+
+    用 merge 方式更新，不整体覆盖 config，避免丢失其他字段。
+    失败只记日志，不影响任务创建。
+    """
+    if not plan_id:
+        return
+    try:
+        from packages.adapters.sqlalchemy_impl.models import EditPlanModel
+
+        plan_model = db.query(EditPlanModel).filter(EditPlanModel.id == plan_id).first()
+        if plan_model is None:
+            logger.warning("[generation_common] 回写plan.config失败: plan不存在 plan_id=%s", plan_id)
+            return
+
+        current_config = plan_model.config if isinstance(plan_model.config, dict) else {}
+        merged = dict(current_config)
+        merged["generation_task_id"] = task_id
+
+        if title_config:
+            old_title_config = merged.get("title_config", {}) or {}
+            old_title_text = (old_title_config.get("text") or "").strip()
+            new_title_text = (title_config.get("text") or "").strip()
+            if old_title_text != new_title_text:
+                if "cover" in merged:
+                    del merged["cover"]
+                    logger.info(
+                        "[generation_common] 标题变化，清除旧封面: plan_id=%s old_title=%s new_title=%s",
+                        plan_id,
+                        old_title_text,
+                        new_title_text,
+                    )
+            merged["title_config"] = title_config
+
+        plan_model.config = merged
+        db.commit()
+        logger.info(
+            "[generation_common] 回写plan.config成功: plan_id=%s task_id=%s keys=%s",
+            plan_id,
+            task_id,
+            list(merged.keys()),
+        )
+    except Exception as e:
+        logger.warning(
+            "[generation_common] 回写plan.config异常（不影响任务创建）: plan_id=%s error=%s",
+            plan_id,
+            e,
+            exc_info=True,
+        )
+        try:
+            db.rollback()
+        except Exception:
+            pass
+
+
+def collect_plan_segments(
+    plan_id: str,
+    clip_repo: Any,
+    *,
+    page_size: int = 500,
+) -> dict[str, list[tuple[float, float]]]:
+    """分页读取 plan 所有 clips，构建 {asset_id: [(start, end), ...]} 素材区间表。
+
+    用于 #1855 P0 批次内素材区间避让（变体间素材片段重叠控制）。
+    """
+    segs: dict[str, list[tuple[float, float]]] = {}
+    sk, pg = 0, page_size
+    while True:
+        batch = clip_repo.list_by_plan(plan_id, skip=sk, limit=pg)
+        if not batch:
+            break
+        for c in batch:
+            if c.asset_id and float(c.duration or 0) > 0:
+                st = float(c.start_time or 0.0)
+                segs.setdefault(c.asset_id, []).append((st, st + float(c.duration)))
+        if len(batch) < pg:
+            break
+        sk += pg
+    return segs
+
+
+def resolve_latest_plan_by_template(
+    db: Session,
+    *,
+    template_id: str,
+    user_id: str,
+) -> Optional[str]:
+    """按 template_id + user_id 查找最新的 EditPlan.id（模板兜底用）。找不到返回 None。"""
+    if not (template_id or "").strip():
+        return None
+    try:
+        from packages.adapters.sqlalchemy_impl.models import EditPlanModel
+
+        latest = (
+            db.query(EditPlanModel)
+            .filter(
+                EditPlanModel.template_id == template_id.strip(),
+                EditPlanModel.created_by_user_id == user_id,
+            )
+            .order_by(EditPlanModel.created_at.desc())
+            .first()
+        )
+        return latest.id if latest else None
+    except Exception:
+        logger.warning(
+            "[generation_common] 按template查找最新plan失败: template=%s user=%s",
+            template_id,
+            user_id,
+            exc_info=True,
+        )
+        return None

apps/api/app/services/lipsync_service.py

@@ -0,0 +1,581 @@
+"""对口型 Service — #1796 MediaKit 对口型业务逻辑, #1809 参数调整, #1845 配音前置.
+
+职责：
+- 创建/查询对口型任务
+- 三输入模式：
+  1. TTS 直生（voice_id + script_text）→ 走 Celery 异步（降级路径）
+  2. 直接音频（audio_url，前端未传 timings）→ 同步下载 + 算 timings + 提交 MediaKit
+  3. 预合成音频（audio_url + sentence_timings，#1845 新主路径）→ 同步 ffprobe 校验时长 +
+     写入前端传来的 timings → 直接提交 MediaKit（~2-3s）
+- 调用 MediaKit 客户端提交异步任务
+- 轮询更新任务状态（中间状态同步 DB，成片转存自家 OSS）
+- 用户隔离（每个用户只能操作自己的任务）
+"""
+
+from __future__ import annotations
+
+import io
+import logging
+import uuid
+from datetime import datetime, timezone
+from typing import Optional
+from urllib.parse import urlparse
+
+from app.services.mediakit_client import (
+    STATUS_COMPLETED,
+    STATUS_FAILED,
+    STATUS_RUNNING,
+    MediaKitClient,
+    MediaKitError,
+    get_mediakit_client,
+)
+
+# Celery 异步任务：TTS 合成 + MediaKit 提交（降级路径）
+from app.tasks.lipsync_tts import tts_synthesize_and_submit
+from sqlalchemy.orm import Session
+
+from packages.adapters.sqlalchemy_impl.models import LipsyncJobModel
+from packages.application.cosyvoice_service import CosyVoiceError, normalize_emotion
+from packages.domain.sentence_timings import (
+    compute_sentence_timings,
+    probe_audio_duration,
+)
+from packages.shared.storage import get_shared_storage_service
+from packages.shared.url_security import ALLOWED_AUDIO_MIME_TYPES, safe_download_bytes
+
+logger = logging.getLogger(__name__)
+
+# 传给 MediaKit GPU worker / 回给前端播放的 OSS 预签名有效期：7 天。
+MEDIAKIT_URL_TTL_SECONDS = 7 * 24 * 3600
+
+
+class LipsyncService:
+    """对口型任务 Service."""
+
+    def __init__(
+        self,
+        db: Session,
+        client: Optional[MediaKitClient] = None,
+        cosyvoice_service=None,
+        voice_clone_repo=None,
+    ):
+        self.db = db
+        self.client = client or get_mediakit_client()
+        self._cosyvoice = cosyvoice_service
+        self._voice_clone_repo = voice_clone_repo
+
+    def _get_cosyvoice(self):
+        """延迟获取 CosyVoiceService（与 tts 路由一致，含 OSS 预签名配置）."""
+        if self._cosyvoice is None:
+            from app.dependencies import get_cosyvoice_service
+
+            self._cosyvoice = get_cosyvoice_service()
+        return self._cosyvoice
+
+    def _resolve_voice_id(self, voice_id: str, user_id: str) -> str:
+        """将克隆音色 profile UUID 解析为 CosyVoice voice_id。
+
+        与 /tts/synthesize 保持一致：命中 profile → 校验归属 → 返回其 voice_id；
+        未命中（预置音色 ID 或克隆 CosyVoice voice_id）原样返回。
+        """
+        if not voice_id:
+            return ""
+        if self._voice_clone_repo is None:
+            try:
+                from app.dependencies import get_voice_clone_profile_repository
+
+                self._voice_clone_repo = get_voice_clone_profile_repository(self.db)
+            except Exception:
+                return voice_id
+        try:
+            profile = self._voice_clone_repo.get(voice_id)
+        except Exception:
+            return voice_id
+        if profile is None:
+            return voice_id
+        if getattr(profile, "user_id", "") != user_id:
+            raise MediaKitError("无权访问该音色", code="VoiceForbidden")
+        if not getattr(profile, "voice_id", ""):
+            raise MediaKitError("音色克隆尚未完成，请稍后再试", code="VoiceNotReady")
+        return profile.voice_id
+
+    def _synthesize_and_persist_audio(
+        self,
+        *,
+        user_id: str,
+        job_id: str,
+        voice_id: str,
+        script_text: str,
+        speed: float,
+        emotion: str,
+    ) -> str:
+        """TTS 直生：调 CosyVoice 合成音频并转存 OSS，返回可公网访问的音频 URL.
+
+        Raises:
+            MediaKitError: 合成失败
+        """
+        actual_voice_id = self._resolve_voice_id(voice_id, user_id)
+        cosyvoice = self._get_cosyvoice()
+        try:
+            result = cosyvoice.submit_synthesize_task(
+                text=script_text,
+                voice_id=actual_voice_id,
+                speed=speed,
+                emotion=normalize_emotion(emotion),
+            )
+        except CosyVoiceError as exc:
+            raise MediaKitError(f"TTS 合成失败: {exc}", code="TTSSynthesisFailed") from exc
+        except ValueError as exc:
+            raise MediaKitError(f"TTS 参数错误: {exc}", code="TTSInvalidParam") from exc
+
+        temp_url = result.get("audio_url", "")
+        if not temp_url:
+            raise MediaKitError("TTS 未返回音频 URL", code="TTSNoAudio")
+
+        # 转存到自家 OSS，避免临时 URL 过期导致 MediaKit 拉取失败
+        try:
+            audio_data = safe_download_bytes(
+                temp_url,
+                purpose="lipsync_tts_audio",
+                allowed_mime_types=ALLOWED_AUDIO_MIME_TYPES,
+                timeout=60.0,
+            )
+            storage = get_shared_storage_service()
+            storage_key = f"lipsync-tts/{user_id}/{job_id}.mp3"
+            permanent_url = storage.upload_file(io.BytesIO(audio_data), storage_key, content_type="audio/mpeg")
+            logger.info("对口型 TTS 音频已转存 OSS: job_id=%s key=%s", job_id, storage_key)
+            return permanent_url
+        except Exception as exc:
+            logger.warning("TTS 音频转存 OSS 失败，回退临时 URL: job_id=%s err=%s", job_id, exc)
+            return temp_url
+
+    def _submit_audio_direct(
+        self,
+        *,
+        job: LipsyncJobModel,
+        supplied_timings: Optional[list] = None,
+        supplied_duration: Optional[float] = None,
+    ) -> None:
+        """音频直传模式（包含 #1845 预合成路径）：同步下载 → ffprobe → timings → 提交 MediaKit.
+
+        直接在 HTTP 请求内完成，不走 Celery。job.status 成功后置为 submitted。
+        失败时把 job 标成 failed 并 commit，然后抛 MediaKitError。
+
+        Args:
+            job: 已 commit 的 LipsyncJobModel（audio_url / video_url 已写入）
+            supplied_timings: 前端传来的预合成 timings（可选，可信时直接用）
+            supplied_duration: 前端传来的预合成时长（可选，用于优先避免重复探测）
+        """
+        # 1. 下载音频
+        audio_data: bytes | None = None
+        try:
+            audio_data = safe_download_bytes(
+                job.audio_url,
+                purpose="lipsync_direct_audio",
+                allowed_mime_types=ALLOWED_AUDIO_MIME_TYPES,
+                timeout=60.0,
+            )
+            logger.info(
+                "[lipsync] 直传音频下载完成: job_id=%s size=%d",
+                job.id,
+                len(audio_data) if audio_data else 0,
+            )
+        except Exception as exc:
+            logger.warning("[lipsync] 直传音频下载失败，跳过 timings 计算: job_id=%s err=%s", job.id, exc)
+
+        # 2. ffprobe 探测时长（优先用前端传入的预合成时长，但以 ffprobe 为准做兜底校验）
+        audio_duration = 0.0
+        if audio_data:
+            audio_duration = probe_audio_duration(audio_data)
+        if audio_duration <= 0 and supplied_duration and supplied_duration > 0:
+            audio_duration = supplied_duration
+            logger.info(
+                "[lipsync] ffprobe 失败，使用前端传入的预合成时长: job_id=%s duration=%.2f", job.id, audio_duration
+            )
+
+        # 3. 句子时间戳：优先用前端预合成传入的 timings（后端预合成接口已经算过，可信）；
+        #    否则若音频下载成功则重算；否则不设置（不阻塞主流程）
+        timings: Optional[list] = None
+        if supplied_timings:
+            timings = supplied_timings
+            logger.info("[lipsync] 使用前端预合成句子时间戳: job_id=%s sentences=%d", job.id, len(timings))
+        elif audio_data and audio_duration > 0 and job.script_text:
+            try:
+                timings = compute_sentence_timings(audio_data, job.script_text, audio_duration)
+                logger.info(
+                    "[lipsync] 后端重算句子时间戳: job_id=%s sentences=%d duration=%.2f",
+                    job.id,
+                    len(timings) if timings else 0,
+                    audio_duration,
+                )
+            except Exception as exc:
+                logger.warning("[lipsync] 句子时间戳计算失败（不阻塞）: job_id=%s err=%s", job.id, exc)
+
+        if timings:
+            job.sentence_timings = timings
+
+        # 4. 签名 URL 并提交 MediaKit
+        video_url = self._sign_media_url(job.video_url)
+        signed_audio_url = self._sign_media_url(job.audio_url)
+        job.audio_url = signed_audio_url
+
+        try:
+            result = self.client.submit_lipsync(
+                video_url=video_url,
+                audio_url=signed_audio_url,
+                enable_video_loop=job.enable_video_loop,
+                client_token=job.id,
+            )
+            job.mediakit_task_id = result["task_id"]
+            job.status = "submitted"
+            job.submitted_at = datetime.now(timezone.utc)
+            self.db.commit()
+            logger.info(
+                "[lipsync] 直传音频已提交 MediaKit: job_id=%s task_id=%s",
+                job.id,
+                result["task_id"],
+            )
+        except MediaKitError as exc:
+            job.status = "failed"
+            job.error_message = str(exc)
+            job.error_code = exc.code
+            logger.error("[lipsync] 直传音频提交 MediaKit 失败: job_id=%s err=%s", job.id, exc)
+            self.db.commit()
+            raise
+
+    # ── 创建任务 ──────────────────────────────────────────────────────────
+
+    def create_job(
+        self,
+        *,
+        user_id: str,
+        video_url: str,
+        audio_url: str = "",
+        audio_duration: Optional[float] = None,
+        sentence_timings: Optional[list] = None,
+        voice_id: str = "",
+        script_text: str = "",
+        speed: float = 1.0,
+        emotion: str = "",
+        enable_video_loop: bool = True,
+        project_id: str = "",
+    ) -> LipsyncJobModel:
+        """创建对口型任务.
+
+        三种输入模式：
+        - TTS 直生：voice_id + script_text（audio_url 留空）
+          → 创建 DB 记录（状态 tts_processing），dispatch Celery 异步任务（降级路径）。
+          API 响应 <1s。
+        - 直接音频：audio_url 非空 + 无 sentence_timings
+          → 同步下载音频 + 重算 timings + 提交 MediaKit（几秒完成）。
+        - 预合成音频（#1845 新主路径）：audio_url 非空 + 传 sentence_timings
+          → 同步 ffprobe 校验时长 + 写入 timings + 提交 MediaKit（~2-3s）。
+
+        Raises:
+            MediaKitError: 参数校验失败或 MediaKit 提交失败
+        """
+        # 0. 输入校验
+        is_pre_synth = bool(audio_url) and bool(sentence_timings)
+        bool(audio_url) and not is_pre_synth
+        is_tts_mode = not bool(audio_url)
+
+        if is_tts_mode:
+            if not (voice_id and script_text):
+                raise MediaKitError(
+                    "必须提供 audio_url 或 voice_id+script_text",
+                    code="InvalidInput",
+                )
+            # TTS 模式：在 HTTP 请求中同步校验音色归属，快速失败
+            self._resolve_voice_id(voice_id, user_id)
+        elif is_pre_synth:
+            # 预合成模式：script_text 可空（因为 timings 已自带句子文本），但仍建议传
+            if not isinstance(sentence_timings, list) or len(sentence_timings) == 0:
+                raise MediaKitError("预合成模式 sentence_timings 不能为空", code="InvalidInput")
+
+        # 1. 创建数据库记录
+        job_id = str(uuid.uuid4())
+        job = LipsyncJobModel(
+            id=job_id,
+            user_id=user_id,
+            project_id=project_id,
+            video_url=video_url,
+            audio_url=audio_url,
+            enable_video_loop=enable_video_loop,
+            voice_id=voice_id or "",
+            script_text=script_text or "",
+            speed=speed,
+            emotion=normalize_emotion(emotion) if is_tts_mode else (emotion or ""),
+            # 音频直传（含预合成）直接进入 pending（后续同步改为 submitted）；TTS 模式进入 tts_processing
+            status="tts_processing" if is_tts_mode else "pending",
+        )
+        self.db.add(job)
+        self.db.flush()
+
+        # ⚠️ 必须先 commit 再发 Celery 任务 / 后续同步操作，避免事务竞态
+        self.db.commit()
+        self.db.refresh(job)
+
+        if is_tts_mode:
+            # 2a. TTS 模式：dispatch Celery 异步任务处理 TTS 合成 + MediaKit 提交（降级路径）
+            try:
+                tts_synthesize_and_submit.apply_async(
+                    args=(
+                        job_id,
+                        user_id,
+                        voice_id,
+                        script_text,
+                        speed,
+                        normalize_emotion(emotion),
+                    )
+                )
+            except Exception as exc:
+                logger.exception(
+                    "Celery 任务提交失败，TTS 任务已创建但未触发执行: job_id=%s err=%s",
+                    job_id,
+                    exc,
+                )
+                job.status = "failed"
+                job.error_message = f"Celery 任务投递失败: {exc}"
+                job.error_code = "AsyncDispatchFailed"
+                job.updated_at = datetime.now(timezone.utc)
+                self.db.commit()
+        else:
+            # 2b/2c. 直接音频 / 预合成音频：同步路径
+            self._submit_audio_direct(
+                job=job,
+                supplied_timings=sentence_timings,
+                supplied_duration=audio_duration,
+            )
+            self.db.refresh(job)
+
+        return job
+
+    # ── TTS 预合成（#1845 步骤1「生成配音」同步接口使用） ──────────────────
+
+    def preview_tts(
+        self,
+        *,
+        user_id: str,
+        voice_id: str,
+        script_text: str,
+        speed: float = 1.0,
+        emotion: str = "natural",
+    ) -> dict:
+        """同步做 TTS 合成 + 下载 + ffprobe + 句子时间戳计算.
+
+        不创建 LipsyncJob、不转存 OSS，直接返回 CosyVoice 临时 URL（~24h 有效期）。
+        耗时约 2-3 秒，由前端在步骤1点「生成配音」时同步等待。
+
+        Returns:
+            {"audio_url": str, "duration": float, "sentence_timings": list[dict]}
+
+        Raises:
+            MediaKitError: TTS 合成失败 / 下载失败 / ffprobe 失败
+        """
+        # 1. 音色解析（校验克隆音色归属）
+        actual_voice_id = self._resolve_voice_id(voice_id, user_id)
+        cosyvoice = self._get_cosyvoice()
+
+        # 2. TTS 合成（同步，~2-3s）
+        try:
+            result = cosyvoice.submit_synthesize_task(
+                text=script_text,
+                voice_id=actual_voice_id,
+                speed=speed,
+                emotion=normalize_emotion(emotion),
+            )
+        except CosyVoiceError as exc:
+            raise MediaKitError(f"TTS 合成失败: {exc}", code="TTSSynthesisFailed") from exc
+        except ValueError as exc:
+            raise MediaKitError(f"TTS 参数错误: {exc}", code="TTSInvalidParam") from exc
+
+        temp_url = result.get("audio_url", "")
+        if not temp_url:
+            raise MediaKitError("TTS 未返回音频 URL", code="TTSNoAudio")
+
+        # 3. 下载音频到内存（用于 ffprobe + 静音检测）
+        try:
+            audio_data = safe_download_bytes(
+                temp_url,
+                purpose="tts_preview_audio",
+                allowed_mime_types=ALLOWED_AUDIO_MIME_TYPES,
+                timeout=60.0,
+            )
+        except Exception as exc:
+            logger.warning("[tts-preview] TTS 音频下载失败，仍返回 audio_url: user_id=%s err=%s", user_id, exc)
+            return {
+                "audio_url": temp_url,
+                "duration": 0.0,
+                "sentence_timings": [],
+            }
+
+        # 4. ffprobe 时长
+        duration = probe_audio_duration(audio_data)
+        if duration <= 0:
+            logger.warning("[tts-preview] ffprobe 未返回有效时长，timings 留空: user_id=%s", user_id)
+            return {
+                "audio_url": temp_url,
+                "duration": 0.0,
+                "sentence_timings": [],
+            }
+
+        # 5. 句子时间戳
+        timings = compute_sentence_timings(audio_data, script_text, duration)
+
+        logger.info(
+            "[tts-preview] TTS 预合成完成: user_id=%s duration=%.2f sentences=%d",
+            user_id,
+            duration,
+            len(timings),
+        )
+        return {
+            "audio_url": temp_url,
+            "duration": round(duration, 2),
+            "sentence_timings": timings,
+        }
+
+    # ── 查询任务 ──────────────────────────────────────────────────────────
+
+    def get_job(self, job_id: str, user_id: str) -> Optional[LipsyncJobModel]:
+        """获取任务详情（用户隔离）."""
+        return (
+            self.db.query(LipsyncJobModel)
+            .filter(LipsyncJobModel.id == job_id, LipsyncJobModel.user_id == user_id)
+            .first()
+        )
+
+    def list_jobs(
+        self,
+        *,
+        user_id: str,
+        project_id: str = "",
+        status: str = "",
+        offset: int = 0,
+        limit: int = 20,
+    ) -> tuple[list[LipsyncJobModel], int]:
+        """获取任务列表（分页 + 用户隔离）."""
+        query = self.db.query(LipsyncJobModel).filter(LipsyncJobModel.user_id == user_id)
+        if project_id:
+            query = query.filter(LipsyncJobModel.project_id == project_id)
+        if status:
+            query = query.filter(LipsyncJobModel.status == status)
+
+        total = query.count()
+        items = query.order_by(LipsyncJobModel.created_at.desc()).offset(offset).limit(limit).all()
+        return items, total
+
+    # ── 更新任务状态（轮询） ──────────────────────────────────────────────
+
+    def refresh_job_status(self, job_id: str, user_id: str) -> Optional[LipsyncJobModel]:
+        """从 MediaKit 拉取最新状态并更新本地记录."""
+        job = self.get_job(job_id, user_id)
+        if job is None:
+            return None
+
+        # 终态不需要再轮询
+        if job.status in (STATUS_COMPLETED, "failed"):
+            return job
+
+        # 未提交的任务不轮询
+        if not job.mediakit_task_id:
+            return job
+
+        try:
+            status_data = self.client.get_task_status(job.mediakit_task_id)
+        except MediaKitError as exc:
+            logger.error("轮询对口型任务状态失败 [%s]: %s", job_id, exc)
+            return job
+
+        mk_status = status_data.get("status", STATUS_RUNNING)
+        logger.info("MediaKit 对口型状态 [%s]: %s", job_id, mk_status)
+
+        if mk_status == STATUS_COMPLETED:
+            result = status_data.get("result", {})
+            job.status = STATUS_COMPLETED
+            temp_url = result.get("video_url", "")
+            job.output_video_url = temp_url
+            job.output_duration = result.get("duration", 0.0)
+            job.completed_at = datetime.now(timezone.utc)
+            job.updated_at = datetime.now(timezone.utc)
+            self.db.commit()
+            # 异步转存自家 OSS
+            try:
+                from app.tasks.lipsync_tts import persist_output_video_task
+
+                persist_output_video_task.apply_async(args=(job_id, user_id, temp_url))
+            except Exception as exc:
+                logger.warning(
+                    "提交输出视频异步转存任务失败，保留临时 URL: job_id=%s err=%s",
+                    job_id,
+                    exc,
+                )
+            self.db.refresh(job)
+            return job
+        elif mk_status == STATUS_FAILED:
+            error = status_data.get("error", {})
+            job.status = "failed"
+            job.error_message = error.get("message", "任务执行失败")
+            job.error_code = error.get("code", "TaskFailed")
+            job.completed_at = datetime.now(timezone.utc)
+        else:
+            if isinstance(mk_status, str) and mk_status:
+                job.status = mk_status
+        job.updated_at = datetime.now(timezone.utc)
+        self.db.commit()
+        self.db.refresh(job)
+        return job
+
+    def _persist_output_video(self, temp_url: str, job_id: str, user_id: str) -> str:
+        """将 MediaKit 输出的临时视频 URL 转存到自家 OSS. 失败时回退返回原始临时 URL."""
+        if not temp_url:
+            return ""
+        try:
+            import httpx
+
+            with httpx.Client(timeout=180.0, follow_redirects=True) as client:
+                resp = client.get(temp_url)
+                resp.raise_for_status()
+                data = resp.content
+            storage = get_shared_storage_service()
+            storage_key = f"lipsync-outputs/{user_id}/{job_id}.mp4"
+            permanent_url = storage.upload_file(io.BytesIO(data), storage_key, content_type="video/mp4")
+            logger.info("对口型输出视频已转存 OSS: job_id=%s key=%s", job_id, storage_key)
+            return self._sign_media_url(permanent_url) or temp_url
+        except Exception as exc:
+            logger.warning("对口型输出视频转存 OSS 失败，回退临时 URL: job_id=%s err=%s", job_id, exc)
+            return temp_url
+
+    def _sign_media_url(self, url: str) -> str:
+        """对自家 OSS 私有桶 URL 重签长有效期预签名."""
+        if not url:
+            return url
+        try:
+            storage = get_shared_storage_service()
+            public_base = getattr(storage, "public_url", "")
+            if not isinstance(public_base, str) or not public_base:
+                return url
+            own_host = urlparse(public_base).netloc.lower()
+            host = urlparse(url).netloc.lower()
+            if not own_host or host != own_host:
+                return url  # 外部临时链接原样透传
+            signed = storage.get_download_url(url, expires_seconds=MEDIAKIT_URL_TTL_SECONDS)
+            return signed or url
+        except Exception as exc:
+            logger.warning("对口型 URL 重签失败，原样返回: url_prefix=%s err=%s", url[:80], exc)
+            return url
+
+    # ── 取消任务 ──────────────────────────────────────────────────────────
+
+    def cancel_job(self, job_id: str, user_id: str) -> Optional[LipsyncJobModel]:
+        """取消任务（仅 pending/tts_processing/submitted 状态可取消）."""
+        job = self.get_job(job_id, user_id)
+        if job is None:
+            return None
+
+        if job.status in ("pending", "tts_processing", "submitted"):
+            job.status = "cancelled"
+            job.updated_at = datetime.now(timezone.utc)
+            self.db.commit()
+            self.db.refresh(job)
+
+        return job

apps/api/app/services/mediakit_client.py

@@ -0,0 +1,242 @@
+"""MediaKit 客户端 — 封装火山引擎 AI MediaKit 对口型 API.
+
+接口文档：https://docs.volcengine.com/docs/6448/2656064
+
+异步任务流程：
+1. POST /api/v1/tools/lip-sync  提交对口型任务 → 返回 task_id
+2. GET  /api/v1/tasks/{task_id} 轮询任务状态 → running/completed/failed
+3. completed 时 result.video_url 为口型对齐视频（临时链接 24h 有效）
+
+设计原则：
+- API Key 从配置读取（settings.mediakit_api_key）
+- 未配置 API Key 时所有方法返回降级响应，不阻塞主流程
+- HTTP 超时/网络异常统一包装为 MediaKitError
+"""
+
+from __future__ import annotations
+
+import logging
+from typing import Any, Optional
+
+import httpx
+
+from packages.config import get_api_settings
+
+logger = logging.getLogger(__name__)
+
+# ── 任务状态常量 ──────────────────────────────────────────────────────────
+STATUS_RUNNING = "running"
+STATUS_COMPLETED = "completed"
+STATUS_FAILED = "failed"
+
+
+class MediaKitError(Exception):
+    """MediaKit API 调用异常."""
+
+    def __init__(self, message: str, code: str = "", request_id: str = ""):
+        self.code = code
+        self.request_id = request_id
+        super().__init__(message)
+
+
+class MediaKitClient:
+    """火山引擎 AI MediaKit 对口型 API 客户端.
+
+    用法：
+        client = get_mediakit_client()
+        result = client.submit_lipsync(video_url="...", audio_url="...")
+        task_id = result["task_id"]
+
+        status = client.get_task_status(task_id)
+        # {"status": "completed", "result": {"video_url": "...", "duration": 60.5}}
+    """
+
+    def __init__(self) -> None:
+        settings = get_api_settings()
+        self._api_key = settings.mediakit_api_key
+        self._base_url = settings.mediakit_base_url.rstrip("/")
+        self._timeout = settings.mediakit_timeout
+
+    @property
+    def is_available(self) -> bool:
+        """是否已配置 API Key（未配置时自动降级）."""
+        return bool(self._api_key)
+
+    def _headers(self) -> dict[str, str]:
+        return {
+            "Authorization": f"Bearer {self._api_key}",
+            "Content-Type": "application/json",
+        }
+
+    # ── 提交对口型任务 ────────────────────────────────────────────────────
+
+    def submit_lipsync(
+        self,
+        *,
+        video_url: str,
+        audio_url: str,
+        enable_video_loop: bool = True,
+        callback_url: Optional[str] = None,
+        callback_args: Optional[str] = None,
+        client_token: Optional[str] = None,
+    ) -> dict[str, Any]:
+        """提交视频口型对齐任务.
+
+        Args:
+            video_url: 人物视频 URL（MP4，≤30min，单人真人）
+            audio_url: 驱动音频 URL（mp3/aac/wav/m4a/flac）
+            enable_video_loop: 音频长于视频时是否循环画面
+            callback_url: 任务完成回调 URL
+            callback_args: 回调时原样返回的自定义参数
+            client_token: 幂等控制 token
+
+        Returns:
+            {"success": True, "task_id": "...", "request_id": "..."}
+
+        Raises:
+            MediaKitError: API 调用失败
+        """
+        if not self.is_available:
+            raise MediaKitError("MediaKit API Key 未配置", code="NotConfigured")
+
+        payload: dict[str, Any] = {
+            "video_url": video_url,
+            "audio_url": audio_url,
+        }
+        payload["enable_video_loop"] = bool(enable_video_loop)
+        if callback_url:
+            payload["callback_url"] = callback_url
+        if callback_args:
+            payload["callback_args"] = callback_args[:512]  # API 限制 512 字节
+        if client_token:
+            payload["client_token"] = client_token[:64]  # API 限制 64 字符
+
+        try:
+            with httpx.Client(timeout=self._timeout) as client:
+                resp = client.post(
+                    f"{self._base_url}/tools/lip-sync",
+                    headers=self._headers(),
+                    json=payload,
+                )
+                resp.raise_for_status()
+                data = resp.json()
+        except httpx.TimeoutException as exc:
+            raise MediaKitError(f"MediaKit API 超时 ({self._timeout}s)", code="Timeout") from exc
+        except httpx.HTTPStatusError as exc:
+            body = exc.response.text[:500]
+            raise MediaKitError(
+                f"MediaKit API HTTP {exc.response.status_code}: {body}",
+                code="HttpError",
+            ) from exc
+        except httpx.RequestError as exc:
+            raise MediaKitError(f"MediaKit API 网络错误: {exc}", code="NetworkError") from exc
+        except Exception as exc:
+            raise MediaKitError(f"MediaKit API 未知错误: {exc}", code="UnknownError") from exc
+
+        if not data.get("success"):
+            error = data.get("error", {})
+            raise MediaKitError(
+                error.get("message", "提交任务失败"),
+                code=error.get("code", "SubmitFailed"),
+                request_id=data.get("request_id", ""),
+            )
+
+        return {
+            "success": True,
+            "task_id": data["task_id"],
+            "request_id": data.get("request_id", ""),
+        }
+
+    # ── 查询任务状态 ──────────────────────────────────────────────────────
+
+    def get_task_status(self, task_id: str) -> dict[str, Any]:
+        """查询异步任务状态和结果.
+
+        Args:
+            task_id: 提交任务时返回的任务 ID
+
+        Returns:
+            {
+                "success": True,
+                "task_id": "...",
+                "status": "running" | "completed" | "failed",
+                "result": {"video_url": "...", "duration": 60.5} | None,
+                "error": {"code": "...", "message": "..."} | None,
+                "created_at": 1777291767,
+                "finished_at": 1777291851 | None,
+                "expires_at": 1777464650 | None,
+            }
+
+        Raises:
+            MediaKitError: API 调用失败
+        """
+        if not self.is_available:
+            raise MediaKitError("MediaKit API Key 未配置", code="NotConfigured")
+
+        try:
+            with httpx.Client(timeout=self._timeout) as client:
+                resp = client.get(
+                    f"{self._base_url}/tasks/{task_id}",
+                    headers=self._headers(),
+                )
+                resp.raise_for_status()
+                data = resp.json()
+        except httpx.TimeoutException as exc:
+            raise MediaKitError(f"MediaKit API 超时 ({self._timeout}s)", code="Timeout") from exc
+        except httpx.HTTPStatusError as exc:
+            body = exc.response.text[:500]
+            raise MediaKitError(
+                f"MediaKit API HTTP {exc.response.status_code}: {body}",
+                code="HttpError",
+            ) from exc
+        except httpx.RequestError as exc:
+            raise MediaKitError(f"MediaKit API 网络错误: {exc}", code="NetworkError") from exc
+        except Exception as exc:
+            raise MediaKitError(f"MediaKit API 未知错误: {exc}", code="UnknownError") from exc
+
+        if not data.get("success"):
+            error = data.get("error", {})
+            raise MediaKitError(
+                error.get("message", "查询任务失败"),
+                code=error.get("code", "QueryFailed"),
+                request_id=data.get("request_id", ""),
+            )
+
+        result: dict[str, Any] = {
+            "success": True,
+            "task_id": data.get("task_id", task_id),
+            "status": data.get("status", STATUS_RUNNING),
+            "result": data.get("result"),
+            "created_at": data.get("created_at"),
+            "finished_at": data.get("finished_at"),
+            "expires_at": data.get("expires_at"),
+        }
+
+        # 失败时提取错误信息
+        if data.get("status") == STATUS_FAILED:
+            error_obj = data.get("error", {})
+            result["error"] = {
+                "code": error_obj.get("code", "TaskFailed"),
+                "message": error_obj.get("message", "任务执行失败"),
+            }
+
+        return result
+
+
+# ── 单例 ──────────────────────────────────────────────────────────────────
+
+_client: Optional[MediaKitClient] = None
+
+
+def get_mediakit_client() -> MediaKitClient:
+    """获取 MediaKit 客户端单例."""
+    global _client
+    if _client is None:
+        _client = MediaKitClient()
+    return _client
+
+
+def reset_mediakit_client() -> None:
+    """重置客户端（测试用）."""
+    global _client
+    _client = None

apps/api/app/services/script_service.py

@@ -0,0 +1,109 @@
+"""ScriptService — Issue #1795 口播文案库 CRUD.
+
+纯 Service 层封装，routes 直接调用。
+"""
+
+from __future__ import annotations
+
+import uuid
+from datetime import datetime, timezone
+from typing import Optional
+
+from sqlalchemy.orm import Session
+
+from packages.adapters.sqlalchemy_impl.models import ScriptModel
+
+
+class ScriptNotFoundError(Exception):
+    """文案不存在或不属于当前用户."""
+
+
+class ScriptService:
+    """口播文案 CRUD."""
+
+    def __init__(self, db: Session) -> None:
+        self.db = db
+
+    # ── list ──────────────────────────────────────────────────────────────
+
+    def list_scripts(
+        self,
+        user_id: str,
+        skip: int = 0,
+        limit: int = 50,
+        tag: Optional[str] = None,
+    ) -> tuple[list[ScriptModel], int]:
+        """返回 (items, total)."""
+        q = self.db.query(ScriptModel).filter(ScriptModel.user_id == user_id)
+        if tag:
+            # JSON 数组包含查询
+            q = q.filter(ScriptModel.tags.contains([tag]))
+        total = q.count()
+        items = q.order_by(ScriptModel.created_at.desc()).offset(skip).limit(limit).all()
+        return items, total
+
+    # ── create ────────────────────────────────────────────────────────────
+
+    def create_script(
+        self,
+        user_id: str,
+        title: str,
+        content: str = "",
+        segments: list | None = None,
+        tags: list | None = None,
+    ) -> ScriptModel:
+        script = ScriptModel(
+            id=str(uuid.uuid4()),
+            user_id=user_id,
+            title=title,
+            content=content,
+            segments=segments if segments is not None else [],
+            tags=tags if tags is not None else [],
+        )
+        self.db.add(script)
+        self.db.commit()
+        self.db.refresh(script)
+        return script
+
+    # ── get ───────────────────────────────────────────────────────────────
+
+    def get_script(self, script_id: str, user_id: str) -> ScriptModel:
+        script = self.db.query(ScriptModel).filter(ScriptModel.id == script_id, ScriptModel.user_id == user_id).first()
+        if script is None:
+            raise ScriptNotFoundError(f"Script {script_id} not found")
+        return script
+
+    # ── update ────────────────────────────────────────────────────────────
+
+    def update_script(
+        self,
+        script_id: str,
+        user_id: str,
+        title: Optional[str] = None,
+        content: Optional[str] = None,
+        segments: Optional[list] = None,
+        tags: Optional[list] = None,
+    ) -> ScriptModel:
+        script = self.get_script(script_id, user_id)
+        if title is not None:
+            script.title = title
+        if content is not None:
+            script.content = content
+        if segments is not None:
+            script.segments = segments
+        if tags is not None:
+            script.tags = tags
+        script.updated_at = datetime.now(timezone.utc)
+        self.db.commit()
+        self.db.refresh(script)
+        return script
+
+    # ── delete ────────────────────────────────────────────────────────────
+
+    def delete_script(self, script_id: str, user_id: str) -> bool:
+        script = self.db.query(ScriptModel).filter(ScriptModel.id == script_id, ScriptModel.user_id == user_id).first()
+        if script is None:
+            return False
+        self.db.delete(script)
+        self.db.commit()
+        return True

apps/api/app/services/video_compose_service.py

@@ -39,6 +39,9 @@ from packages.domain.video_filter_builder import (
 )
 from packages.domain.video_filter_builder import build_concat_filter as _build_concat_filter_func
 from packages.domain.video_filter_builder import build_filter_complex as _build_filter_complex
+from packages.domain.video_filter_builder import (
+    build_title_drawtext_filter,
+)
 from packages.domain.video_filter_builder import build_xfade_filter as _build_xfade_filter_func
 from packages.domain.video_filter_builder import chain_filters as _chain_filters_func
 from packages.domain.video_filter_builder import has_audio as _has_audio_func
@@ -248,6 +251,27 @@ class VideoComposeService:
             transitions=[c.transition_effect for c in ready_clips],
         )
 
+        # ── #1789 标题 drawtext 滤镜叠加 ──
+        # 从 plan.config 读取 title_config，生成 drawtext 滤镜链入 filter_complex
+        title_cfg = (plan.config or {}).get("title", {}) or {}
+        if not isinstance(title_cfg, dict):
+            title_cfg = {}
+        # 同时兼容 plan.config["title_config"]（API 回写路径）
+        if not title_cfg.get("text") and not title_cfg.get("content"):
+            title_cfg_alt = (plan.config or {}).get("title_config", {}) or {}
+            if isinstance(title_cfg_alt, dict) and (title_cfg_alt.get("text") or title_cfg_alt.get("content")):
+                title_cfg = title_cfg_alt
+        drawtext_filter = build_title_drawtext_filter(title_cfg, output_width, output_height)
+        if drawtext_filter:
+            # 将最终输出标签从 [outv] 改为 [composed]，再链入 drawtext → [outv]
+            filter_complex = filter_complex.replace("[outv]", "[composed]")
+            filter_complex += f";[composed]{drawtext_filter}[outv]"
+            logger.info(
+                "[#1789] 标题 drawtext 滤镜已注入: plan_id=%s text=%s",
+                plan_id,
+                (title_cfg.get("text") or title_cfg.get("content") or "")[:30],
+            )
+
         # 构建完整命令
         command: list[str] = ["ffmpeg", "-y"]
 

apps/api/app/tasks/__init__.py

@@ -0,0 +1 @@
+"""Celery 异步任务模块."""

apps/api/app/tasks/ai_avatar_render.py

@@ -0,0 +1,48 @@
+"""AI数字人渲染 Celery 异步任务 — #1798."""
+
+from __future__ import annotations
+
+import logging
+
+from app.core.celery_app import celery_app
+from app.dependencies import get_db_session
+
+logger = logging.getLogger(__name__)
+
+
+@celery_app.task(bind=True, name="ai_avatar_render.execute", max_retries=2)
+def execute_ai_avatar_render(self, job_id: str) -> dict:
+    """执行 AI 数字人渲染管线.
+
+    进度更新:
+    - 0%: 任务开始
+    - 20%: 下载对口型视频完成
+    - 40%: 滤镜链构建完成
+    - 80%: FFmpeg 渲染完成
+    - 95%: 上传 OSS 完成
+    - 100%: 任务完成
+    """
+    logger.info("开始执行渲染任务: %s", job_id)
+    self.update_state(state="PROCESSING", meta={"progress": 0, "job_id": job_id})
+
+    try:
+        # 获取数据库 session
+        db_gen = get_db_session()
+        db = next(db_gen)
+        try:
+            from app.services.ai_avatar_render_service import AiAvatarRenderService
+
+            service = AiAvatarRenderService(db)
+            service.execute_render(job_id)
+        finally:
+            try:
+                next(db_gen)
+            except StopIteration:
+                pass
+
+        return {"status": "completed", "job_id": job_id}
+
+    except Exception as exc:
+        logger.exception("渲染任务执行异常 [%s]: %s", job_id, exc)
+        self.update_state(state="FAILED", meta={"progress": 0, "error": str(exc)})
+        raise

apps/api/app/tasks/lipsync_tts.py

@@ -0,0 +1,355 @@
+"""AI 数字人对口型 TTS 异步任务 — 将 TTS 合成从 HTTP 请求移至 Celery 后台执行.
+
+优化目标：将 create_job 的 API 响应时间从 6~35s 降到 <1s。
+任务流程：
+1. 创建新 DB session，加载 job 记录
+2. 调用 CosyVoice 合成音频
+3. 下载音频并转存到自家 OSS
+4. 更新 job 的 audio_url
+5. 签名 URL 并提交到 MediaKit
+6. 更新 job 状态为 submitted
+7. 异常时标记 job 为 failed
+
+注意：使用 @shared_task 而非绑定到某个 celery_app 实例，
+确保任务能被 Worker 侧 celery_app 正确注册，同时 API 侧 send_task/apply_async 仍可正常调用。
+
+#1845：句子时间戳计算已提取至 packages/domain/sentence_timings.py，本模块保留
+_ 开头别名兼容历史导入，但 _compute_sentence_timings/_split_script_into_sentences/
+_estimate_sentence_timings_by_chars 等内部函数已复用共享实现，避免重复代码。
+"""
+
+import io
+import logging
+from datetime import datetime, timezone
+from urllib.parse import urlparse
+
+from celery import shared_task
+
+# 复用共享的句子时间戳工具（#1845 配音前置）
+from packages.domain.sentence_timings import compute_sentence_timings as _compute_sentence_timings
+from packages.domain.sentence_timings import (
+    probe_audio_duration,
+)
+
+logger = logging.getLogger(__name__)
+
+# MediaKit 预签名 URL 有效期（7天，秒），与 LipsyncService._sign_media_url 保持一致
+_MEDIAKIT_URL_TTL_SECONDS = 7 * 24 * 3600
+
+
+def _sign_media_url(url: str) -> str:
+    """对自家 OSS 私有桶 URL 重签长有效期预签名.
+
+    - 自家 OSS URL → 重签 7 天有效期
+    - 外部临时 URL → 原样透传
+    - 任何异常降级原样返回，不阻断主流程
+    """
+    if not url:
+        return url
+    try:
+        from packages.shared.storage import get_shared_storage_service
+
+        storage = get_shared_storage_service()
+        public_base = getattr(storage, "public_url", "")
+        if not isinstance(public_base, str) or not public_base:
+            return url
+        own_host = urlparse(public_base).netloc.lower()
+        host = urlparse(url).netloc.lower()
+        if not own_host or host != own_host:
+            return url
+        signed = storage.get_download_url(url, expires_seconds=_MEDIAKIT_URL_TTL_SECONDS)
+        return signed or url
+    except Exception as exc:  # noqa: BLE001
+        logger.warning("[lipsync_tts] URL 重签失败，原样返回: url_prefix=%s err=%s", url[:80], exc)
+        return url
+
+
+@shared_task(
+    bind=True,
+    name="lipsync_tts.synthesize_and_submit",
+    max_retries=5,  # 事务竞态重试3次（job not found）+ TTS偶发错误2次
+    default_retry_delay=30,
+    autoretry_for=(OSError, ConnectionError),  # 网络/连接错误自动重试
+    retry_backoff=True,
+    retry_backoff_max=30,
+    soft_time_limit=180,
+    time_limit=200,
+)
+def tts_synthesize_and_submit(
+    self,
+    job_id: str,
+    user_id: str,
+    voice_id: str,
+    script_text: str,
+    speed: float,
+    emotion: str,
+):
+    """异步执行 TTS 合成 + OSS 转存 + MediaKit 提交.
+
+    在 Celery worker 中运行，不阻塞 HTTP 请求。保留作为降级路径
+    （预合成失败 / 旧版前端未传 audio_url 时走此路径）。
+    """
+    from app.services.mediakit_client import MediaKitError, get_mediakit_client
+    from sqlalchemy.orm import Session as DBSession
+
+    from packages.adapters.sqlalchemy_impl.models import LipsyncJobModel
+    from packages.application.cosyvoice_service import CosyVoiceError, CosyVoiceService
+    from packages.shared.url_security import safe_download_bytes
+
+    # SessionLocal 获取：
+    # - API 容器：app.db.SessionLocal（环境变量完整，导入即建引擎）
+    # - Worker 容器：worker_app.db.SessionLocal（Worker 自己的 settings 初始化引擎）
+    # API 侧没有 worker_app 模块 → ImportError 直接回退；
+    # Worker 侧 app.db 会因缺少 API 专有环境变量抛 pydantic ValidationError，
+    # 此时也要回退到 worker_app.db。
+    try:
+        from worker_app.db import SessionLocal  # type: ignore
+    except Exception:  # noqa: BLE001
+        from app.db import SessionLocal  # type: ignore
+
+    db: DBSession = SessionLocal()
+    try:
+        job = (
+            db.query(LipsyncJobModel)
+            .filter(
+                LipsyncJobModel.id == job_id,
+                LipsyncJobModel.user_id == user_id,
+            )
+            .first()
+        )
+
+        if job is None:
+            # 事务竞态防御：API 在 commit 前投递了任务，worker 消费时事务尚未提交。
+            retries = getattr(self.request, "retries", 0)
+            max_retries = 3
+            if retries < max_retries:
+                backoff = (2**retries) + (retries * 1)  # 1s, 3s, 7s
+                logger.warning(
+                    "[lipsync_tts] Job not found yet (retry %d/%d, backoff %ds): job_id=%s",
+                    retries + 1,
+                    max_retries,
+                    backoff,
+                    job_id,
+                )
+                self.db.close()
+                raise self.retry(countdown=backoff, max_retries=max_retries)
+            logger.error(
+                "[lipsync_tts] Job not found after %d retries, giving up: job_id=%s",
+                max_retries,
+                job_id,
+            )
+            return
+
+        # 已取消的任务不再处理
+        if job.status == "cancelled":
+            logger.info("[lipsync_tts] Job already cancelled, skipping: job_id=%s", job_id)
+            return
+
+        # 1. TTS 合成
+        logger.info(
+            "[lipsync_tts] 开始 TTS 合成: job_id=%s voice_id=%s text_len=%d speed=%.2f",
+            job_id,
+            voice_id,
+            len(script_text),
+            speed,
+        )
+        try:
+            cosyvoice = CosyVoiceService()
+            result = cosyvoice.submit_synthesize_task(
+                text=script_text,
+                voice_id=voice_id,
+                speed=speed,
+                emotion=emotion,
+            )
+        except CosyVoiceError as exc:
+            logger.error("[lipsync_tts] TTS 合成失败: job_id=%s err=%s", job_id, exc)
+            job.status = "failed"
+            job.error_message = f"TTS 合成失败: {exc}"
+            job.error_code = "TTSSynthesisFailed"
+            job.updated_at = datetime.now(timezone.utc)
+            db.commit()
+            return
+        except ValueError as exc:
+            logger.error("[lipsync_tts] TTS 参数错误: job_id=%s err=%s", job_id, exc)
+            job.status = "failed"
+            job.error_message = f"TTS 参数错误: {exc}"
+            job.error_code = "TTSInvalidParam"
+            job.updated_at = datetime.now(timezone.utc)
+            db.commit()
+            return
+
+        temp_url = result.get("audio_url", "")
+        if not temp_url:
+            logger.error("[lipsync_tts] TTS 未返回音频 URL: job_id=%s", job_id)
+            job.status = "failed"
+            job.error_message = "TTS 未返回音频 URL"
+            job.error_code = "TTSNoAudio"
+            job.updated_at = datetime.now(timezone.utc)
+            db.commit()
+            return
+
+        # 2. 下载 TTS 音频到内存（用于 2.5 静音检测；不转存自家 OSS，直接使用 CosyVoice 临时 URL）
+        audio_data: bytes | None = None
+        try:
+            audio_data = safe_download_bytes(
+                temp_url,
+                purpose="lipsync_tts_audio",
+                allowed_mime_types={
+                    "audio/mpeg",
+                    "audio/mp3",
+                    "audio/wav",
+                    "audio/x-wav",  # CosyVoice 部分接口返回 audio/x-wav
+                    "audio/mp4",
+                    "audio/x-m4a",
+                },
+                timeout=60.0,
+            )
+            logger.info(
+                "[lipsync_tts] TTS 音频已下载到内存: job_id=%s size=%d",
+                job_id,
+                len(audio_data) if audio_data else 0,
+            )
+        except Exception as exc:
+            logger.warning(
+                "[lipsync_tts] TTS 音频下载失败，跳过静音检测，直接使用临时 URL 提交: job_id=%s err=%s",
+                job_id,
+                exc,
+            )
+        # TTS 音频使用 CosyVoice 临时 URL，跳过自家 OSS 转存（加速，步骤⑥）
+        job.audio_url = temp_url
+        logger.info("[lipsync_tts] TTS 音频使用 CosyVoice 临时 URL（跳过 OSS 转存）: job_id=%s", job_id)
+
+        db.commit()
+
+        # 2.5 计算精确句子时间戳（基于 TTS 音频静音检测）—— 复用共享工具
+        try:
+            if not audio_data:
+                logger.warning("[lipsync_tts] 无音频数据，跳过句子时间戳计算: job_id=%s", job_id)
+            else:
+                _audio_duration = probe_audio_duration(audio_data)
+                logger.info(
+                    "[lipsync_tts] 音频时长探测: job_id=%s duration=%.2f",
+                    job_id,
+                    _audio_duration,
+                )
+
+                if _audio_duration > 0:
+                    _timings = _compute_sentence_timings(audio_data, script_text, _audio_duration)
+                    if _timings:
+                        job.sentence_timings = _timings
+                        logger.info(
+                            "[lipsync_tts] 句子时间戳已计算: job_id=%s sentences=%d duration=%.1f",
+                            job_id,
+                            len(_timings),
+                            _audio_duration,
+                        )
+                    else:
+                        logger.warning("[lipsync_tts] 句子时间戳计算返回空结果: job_id=%s", job_id)
+                else:
+                    logger.warning(
+                        "[lipsync_tts] ffprobe 未获取到有效时长，跳过句子时间戳: job_id=%s",
+                        job_id,
+                    )
+                db.commit()
+        except Exception as _st_err:
+            logger.warning(
+                "[lipsync_tts] 句子时间戳计算失败（不影响主流程）: job_id=%s err=%s", job_id, _st_err, exc_info=True
+            )
+
+        # 3. 签名 URL 并提交到 MediaKit（复用模块内 _sign_media_url，避免对 LipsyncService 的耦合）
+        audio_url = _sign_media_url(job.audio_url)
+        video_url = _sign_media_url(job.video_url)
+
+        client = get_mediakit_client()
+        try:
+            mk_result = client.submit_lipsync(
+                video_url=video_url,
+                audio_url=audio_url,
+                enable_video_loop=job.enable_video_loop,
+                client_token=job_id,
+            )
+            job.mediakit_task_id = mk_result["task_id"]
+            job.status = "submitted"
+            job.submitted_at = datetime.now(timezone.utc)
+            logger.info(
+                "[lipsync_tts] 已提交 MediaKit: job_id=%s task_id=%s",
+                job_id,
+                mk_result["task_id"],
+            )
+        except MediaKitError as exc:
+            job.status = "failed"
+            job.error_message = str(exc)
+            job.error_code = exc.code
+            logger.error("[lipsync_tts] 提交 MediaKit 失败: job_id=%s err=%s", job_id, exc)
+
+        db.commit()
+
+    except Exception:
+        logger.exception("[lipsync_tts] 未预期的异常: job_id=%s", job_id)
+        try:
+            job = db.query(LipsyncJobModel).filter(LipsyncJobModel.id == job_id).first()
+            if job and job.status not in ("cancelled", "failed", "completed"):
+                job.status = "failed"
+                job.error_message = "TTS 异步任务执行异常"
+                job.error_code = "AsyncTaskError"
+                job.updated_at = datetime.now(timezone.utc)
+                db.commit()
+        except Exception:
+            logger.exception("[lipsync_tts] 回写失败状态时异常: job_id=%s", job_id)
+    finally:
+        db.close()
+
+
+@shared_task(
+    name="lipsync_tts.persist_output_video",
+    max_retries=2,
+    default_retry_delay=30,
+)
+def persist_output_video_task(job_id: str, user_id: str, temp_url: str):
+    """异步转存对口型输出视频到自家 OSS（步骤⑦ — 将同步阻塞挪到后台，加速前端响应）."""
+
+    try:
+        from worker_app.db import SessionLocal  # type: ignore
+    except Exception:  # noqa: BLE001
+        from app.db import SessionLocal  # type: ignore
+
+    from packages.adapters.sqlalchemy_impl.models import LipsyncJobModel
+    from packages.shared.storage import get_shared_storage_service
+
+    db = SessionLocal()
+    try:
+        job = db.query(LipsyncJobModel).filter(LipsyncJobModel.id == job_id, LipsyncJobModel.user_id == user_id).first()
+        if job is None:
+            logger.error("[lipsync_tts.persist] Job not found: job_id=%s", job_id)
+            return
+
+        if not temp_url:
+            logger.warning("[lipsync_tts.persist] temp_url 为空，跳过转存: job_id=%s", job_id)
+            return
+
+        try:
+            import httpx
+
+            with httpx.Client(timeout=180.0, follow_redirects=True) as client:
+                resp = client.get(temp_url)
+                resp.raise_for_status()
+                data = resp.content
+
+            storage = get_shared_storage_service()
+            storage_key = f"lipsync-outputs/{user_id}/{job_id}.mp4"
+            permanent_url = storage.upload_file(io.BytesIO(data), storage_key, content_type="video/mp4")
+            final_url = _sign_media_url(permanent_url) if permanent_url else temp_url
+            job.output_video_url = final_url
+            job.updated_at = datetime.now(timezone.utc)
+            db.commit()
+            logger.info("[lipsync_tts.persist] 输出视频已转存 OSS: job_id=%s key=%s", job_id, storage_key)
+        except Exception as exc:
+            logger.warning(
+                "[lipsync_tts.persist] 输出视频转存失败，保留临时 URL: job_id=%s err=%s",
+                job_id,
+                exc,
+            )
+    except Exception:
+        logger.exception("[lipsync_tts.persist] 未预期异常: job_id=%s", job_id)
+    finally:
+        db.close()

apps/web/src/api/generation/variantPlans.ts

@@ -26,6 +26,10 @@ export interface BatchVariantPlansRequest {
   count: number
   /** 源剪辑计划 ID：优先取预览/草稿关联的 plan；不传由后端按 template_id+user 兜底最新 plan */
   source_edit_plan_id?: string
+  /** 统一配音 ID（共用配音模式）；独立配音模式不传，改传 voice_library_ids */
+  voice_library_id?: string
+  /** 独立配音 ID 列表（长度=count，按变体序号一一对应）；共用配音模式不传 */
+  voice_library_ids?: string[]
 }
 
 /** 单个变体的计划片段 */
@@ -36,6 +40,8 @@ export interface VariantPlan {
   plan_id: string
   /** 该变体的真实片段（顺序/素材/起点与正式成片一致） */
   clips: EditPlanClip[]
+  /** 该变体实际配音时长（秒），用于前端预览按配音时长对齐音画；后端暂未返回时缺省 */
+  voice_duration?: number
 }
 
 /** 批量变体计划响应 */

apps/web/src/api/products/products.ts

@@ -1,6 +1,6 @@
 /**
  * 成品 / 视频相关 API 函数
- * 后端实际接口：/videos
+ * 后端实际接口：/videos（分页：page/page_size，返回 {items, total, page, page_size}）
  */
 import apiClient from "../client"
 import type {
@@ -12,16 +12,39 @@ import type {
 } from "./types"
 import { mapVideoToProductItem } from "./utils"
 
-/** 获取成品列表（支持分页和筛选） */
-export const getProducts = async (params?: ProductListParams): Promise<ProductItem[]> => {
-  const response = await apiClient.get("/videos", { params })
-  const data = response.data
-  const videos: VideoItem[] = Array.isArray(data?.items)
-    ? data.items
-    : Array.isArray(data)
-      ? data
-      : []
-  return videos.map(mapVideoToProductItem)
+/** 分页列表响应（前端消费用） */
+export interface ProductListResult {
+  items: ProductItem[]
+  total: number
+  page: number
+  page_size: number
+}
+
+/**
+ * 获取成品列表（分页）
+ * @param params 分页与筛选参数：page 默认 1，page_size 默认 20
+ */
+export const getProducts = async (params?: ProductListParams): Promise<ProductListResult> => {
+  const response = await apiClient.get("/videos", {
+    params: {
+      page: 1,
+      page_size: 20,
+      ...params,
+    },
+  })
+  const data = response.data as {
+    items?: VideoItem[]
+    total?: number
+    page?: number
+    page_size?: number
+  }
+  const items: VideoItem[] = Array.isArray(data?.items) ? data.items : []
+  return {
+    items: items.map(mapVideoToProductItem),
+    total: data.total ?? items.length,
+    page: data.page ?? params?.page ?? 1,
+    page_size: data.page_size ?? params?.page_size ?? 20,
+  }
 }
 
 /** 获取单个成品详情 */

apps/web/src/api/scripts/index.ts

@@ -0,0 +1,2 @@
+export * from "./scripts"
+export * from "./types"

apps/web/src/api/scripts/scripts.ts

@@ -0,0 +1,37 @@
+/**
+ * 文案库 API
+ * 对接后端 /api/v1/scripts（CRUD + 列表解包）
+ */
+import apiClient from "../client"
+import type {
+  ScriptItem,
+  ScriptListResponse,
+  CreateScriptRequest,
+  UpdateScriptRequest,
+} from "./types"
+
+/** 获取文案列表 — 必须解包 items（后端返回 {items,total}）*/
+export const getScripts = async (): Promise<ScriptItem[]> => {
+  const response = await apiClient.get<ScriptListResponse | ScriptItem[]>("/scripts")
+  const data = response.data as unknown
+  if (Array.isArray(data)) return data
+  const items = (data as { items?: ScriptItem[] })?.items
+  return Array.isArray(items) ? items : []
+}
+
+/** 新建文案 */
+export const createScript = async (data: CreateScriptRequest): Promise<ScriptItem> => {
+  const response = await apiClient.post<ScriptItem>("/scripts", data)
+  return response.data
+}
+
+/** 更新文案 */
+export const updateScript = async (id: string, data: UpdateScriptRequest): Promise<ScriptItem> => {
+  const response = await apiClient.put<ScriptItem>(`/scripts/${id}`, data)
+  return response.data
+}
+
+/** 删除文案 */
+export const deleteScript = async (id: string): Promise<void> => {
+  await apiClient.delete(`/scripts/${id}`)
+}

apps/web/src/api/scripts/types.ts

@@ -0,0 +1,24 @@
+/**
+ * 文案库 API — 类型定义
+ * 对接后端 /api/v1/scripts
+ */
+export interface ScriptItem {
+  id: string
+  title: string
+  content: string
+  char_count: number
+  created_at: string
+  updated_at?: string
+}
+
+export interface ScriptListResponse {
+  items: ScriptItem[]
+  total: number
+}
+
+export interface CreateScriptRequest {
+  title: string
+  content: string
+}
+
+export type UpdateScriptRequest = Partial<CreateScriptRequest>

apps/web/src/api/tts/types.ts

@@ -103,6 +103,7 @@ export interface TTSPreviewRequest {
   voice_id: string
   speed?: number
   pitch?: number
+  emotion?: string // 情绪参数：natural/excited/calm/friendly
 }
 
 /** TTS 试听响应 */

apps/web/src/components/layout/MainLayout.css

@@ -5,7 +5,7 @@
      .xx-app-shell          全屏 flex 容器
      ├── header (xx-top-nav) 顶部导航（Header.tsx 管理）
      └── .xx-app-body       水平 flex 行
-         ├── .xx-app-sidebar  左侧侧边栏（240px / 64px 折叠）
+         ├── .xx-app-sidebar  左侧侧边栏（128px / 64px 折叠）
          └── .xx-app-content  主内容区（自适应）
 
    所有尺寸/颜色均使用 global.css 设计系统变量
@@ -31,7 +31,7 @@
 
 /* ── 侧边栏 ───────────────────────────────────────────────── */
 .xx-app-sidebar {
-  width: 240px;
+  width: 128px;
   flex-shrink: 0;
   position: sticky;
   top: 0;
@@ -103,6 +103,12 @@
   padding: var(--space-sm);
 }
 
+/* 展开态（侧边栏 128px）水平 padding 收窄，为菜单文字留出完整一行空间 */
+.xx-app-sidebar:not(.xx-collapsed) .xx-sidebar-content {
+  padding-left: var(--space-xs);
+  padding-right: var(--space-xs);
+}
+
 /* ── 主内容区 ─────────────────────────────────────────────── */
 .xx-app-content {
   flex: 1;
@@ -136,7 +142,7 @@
 
   /* 展开态恢复完整宽度 */
   .xx-app-sidebar:not(.xx-collapsed) {
-    width: 240px;
+    width: 128px;
   }
 
   .xx-app-sidebar:not(.xx-collapsed) .xx-sidebar-toggle {
@@ -159,7 +165,7 @@
     top: 56px; /* 移动端 Header 高度 */
     left: 0;
     bottom: 0;
-    width: 240px;
+    width: 128px;
     transform: translateX(-100%);
     transition: transform var(--transition-slow);
     box-shadow: none;

apps/web/src/components/layout/MainLayout.tsx

@@ -2,7 +2,7 @@
  * MainLayout - 主布局组件（Task 1.2）
  *
  * 三栏布局：左侧侧边栏 + 顶部导航栏 + 主内容区
- * - 侧边栏：240px 固定宽度，可折叠至 64px 图标栏
+ * - 侧边栏：128px 固定宽度，可折叠至 64px 图标栏
  * - 顶部导航：复用 Header 组件（68px 固定高度）
  * - 主内容区：自适应填充剩余空间
  * - 响应式：移动端（<768px）隐藏侧边栏

apps/web/src/components/layout/Sidebar.css

@@ -30,7 +30,7 @@
 
 /* 分组标题 */
 .xx-sidebar-group-title {
-  padding: var(--space-sm) var(--space-md) var(--space-xs);
+  padding: var(--space-sm) var(--space-sm) var(--space-xs);
   font-size: var(--font-size-xs);
   font-weight: var(--font-weight-semibold);
   color: var(--text-tertiary);
@@ -56,9 +56,9 @@
 .xx-sidebar-menu-item {
   display: flex;
   align-items: center;
-  gap: var(--space-sm);
-  padding: var(--space-sm) var(--space-md);
-  margin: 0 var(--space-xs);
+  gap: var(--space-xs);
+  padding: var(--space-sm) var(--space-xs);
+  margin: 0 var(--space-xxs);
   border-radius: var(--radius-sm);
   cursor: pointer;
   color: var(--text-secondary);
@@ -97,12 +97,12 @@
   align-items: center;
   justify-content: center;
   flex-shrink: 0;
-  width: 36px;
-  height: 36px;
-  border-radius: 10px;
+  width: 28px;
+  height: 28px;
+  border-radius: 8px;
   background: #f1f5f9;
   color: var(--text-secondary);
-  font-size: 18px;
+  font-size: 16px;
   line-height: 1;
   transition: 0.15s ease;
 }
@@ -119,7 +119,9 @@
 /* ── 菜单项文字 ───────────────────────────────────────────── */
 .xx-sidebar-menu-label {
   flex: 1;
+  min-width: 0;
   overflow: hidden;
+  white-space: nowrap;
   text-overflow: ellipsis;
 }
 
@@ -133,8 +135,16 @@
 /* 折叠时菜单项居中，仅图标 */
 .xx-sidebar-nav--collapsed .xx-sidebar-menu-item {
   justify-content: center;
-  padding: var(--space-sm);
-  margin: 0 var(--space-xxs);
+  padding: var(--space-xs);
+  margin: 0;
+}
+
+/* 折叠态图标恢复更大尺寸居中 */
+.xx-sidebar-nav--collapsed .xx-sidebar-menu-icon {
+  width: 32px;
+  height: 32px;
+  border-radius: 8px;
+  font-size: 16px;
 }
 
 /* 折叠时隐藏分组标题 */

apps/web/src/config/navigation.ts

@@ -18,6 +18,7 @@ import {
   ControlOutlined,
   CrownOutlined,
   UnorderedListOutlined,
+  UserOutlined,
 } from "@ant-design/icons"
 
 /** 导航项类型 */
@@ -57,6 +58,12 @@ export const NAV_ITEMS: NavItem[] = [
     path: "/app/titles",
     icon: React.createElement(FileTextOutlined),
   },
+  {
+    key: "scripts",
+    label: "文案库",
+    path: "/app/scripts",
+    icon: React.createElement(EditOutlined),
+  },
   {
     key: "voices",
     label: "配音库",
@@ -88,6 +95,12 @@ export const NAV_ITEMS: NavItem[] = [
     path: "/app/generate",
     icon: React.createElement(VideoCameraOutlined),
   },
+  {
+    key: "ai-avatar",
+    label: "AI数字人",
+    path: "/app/ai-avatar",
+    icon: React.createElement(UserOutlined),
+  },
   {
     key: "history",
     label: "任务历史",
@@ -131,6 +144,12 @@ export const NAV_GROUPS: NavGroup[] = [
         path: "/app/generate",
         icon: React.createElement(VideoCameraOutlined),
       },
+      {
+        key: "ai-avatar",
+        label: "AI数字人",
+        path: "/app/ai-avatar",
+        icon: React.createElement(UserOutlined),
+      },
       {
         key: "editing-planner",
         label: "剪辑模板",
@@ -160,6 +179,12 @@ export const NAV_GROUPS: NavGroup[] = [
         path: "/app/titles",
         icon: React.createElement(FileTextOutlined),
       },
+      {
+        key: "scripts",
+        label: "文案库",
+        path: "/app/scripts",
+        icon: React.createElement(EditOutlined),
+      },
       {
         key: "products",
         label: "成品库",

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

@@ -11,7 +11,7 @@
 
 .admin-coming-soon-page {
   padding: 32px;
-  max-width: 1400px;
+  max-width: 1680px;
   margin: 0 auto;
 }
 

apps/web/src/pages/ai-avatar/api/aiAvatar.ts

@@ -0,0 +1,131 @@
+/**
+ * AI数字人 — API 封装（#1822 契约对齐）
+ */
+import apiClient from "@/api/client"
+import type { Script, LipsyncJob, RenderJob, BRollSegment, SentenceTiming } from "../types"
+
+/* ── 文案库 ── */
+export const getScripts = async (): Promise<Script[]> => {
+  const response = await apiClient.get<{ items?: Script[] } | Script[]>("/scripts")
+  // 后端列表返回 { items, total } 分页对象，做兼容解包 + 数组防御（#1809 白屏修复）
+  const data = response.data as unknown
+  if (Array.isArray(data)) return data
+  const items = (data as { items?: Script[] })?.items
+  return Array.isArray(items) ? items : []
+}
+
+export const getScriptById = async (id: string): Promise<Script> => {
+  const response = await apiClient.get<Script>(`/scripts/${id}`)
+  return response.data
+}
+
+export const createScript = async (data: { title: string; content: string }): Promise<Script> => {
+  const response = await apiClient.post<Script>("/scripts", data)
+  return response.data
+}
+
+export const deleteScript = async (id: string): Promise<void> => {
+  await apiClient.delete(`/scripts/${id}`)
+}
+
+/* ── 素材单查（拿到 file_url 作为对口型的 video_url） ── */
+export const getAssetById = async (id: string): Promise<{ file_url?: string; id: string }> => {
+  const response = await apiClient.get<{ file_url?: string; id: string }>(`/assets/${id}`)
+  return response.data
+}
+
+/* ── 对口型（支持三种模式） ──
+ * 1. TTS 直生（降级/旧版）：传 voice_id + script_text（+speed/emotion），后端 Celery 异步合成
+ * 2. 直接音频：传 video_url + audio_url，后端同步下载+算timings+提交MediaKit
+ * 3. 预合成音频（#1845 新主路径）：先调 previewTts 拿 audio_url+sentence_timings，
+ *    再把 audio_url + audio_duration + sentence_timings 一起传过来，后端直接提交 MediaKit
+ */
+export const createLipsyncJob = async (data: {
+  /** 人物视频 URL（MP4）；由素材 id 经 getAssetById 拿 file_url */
+  video_url: string
+  /** 预合成/直接音频模式：音频 URL（#1845 步骤1 预合成的 CosyVoice 临时 URL，或外部音频 URL） */
+  audio_url?: string
+  /** 预合成音频时长（秒），由 previewTts 返回 */
+  audio_duration?: number
+  /** 预合成接口返回的句子时间戳（精确），后端直接写入 job */
+  sentence_timings?: SentenceTiming[]
+  /** 音色 ID（TTS 直生模式用） */
+  voice_id?: string
+  /** 要合成的文案（TTS 直生模式用） */
+  script_text?: string
+  /** 语速 0.5~2.0，默认 1.0（TTS 直生模式用） */
+  speed?: number
+  /** 情绪英文枚举：natural/excited/calm/friendly（TTS 直生模式用） */
+  emotion?: string
+  enable_video_loop?: boolean
+  project_id?: string
+}): Promise<LipsyncJob> => {
+  const response = await apiClient.post<LipsyncJob>("/lipsync/jobs", data)
+  return response.data
+}
+
+/* ── #1845 TTS 预合成（步骤1「生成配音」同步接口，~2-3s） ── */
+export const previewTts = async (data: {
+  voice_id: string
+  script_text: string
+  speed?: number
+  emotion?: string
+}): Promise<{
+  audio_url: string
+  duration: number
+  sentence_timings: SentenceTiming[]
+}> => {
+  const response = await apiClient.post<{
+    audio_url: string
+    duration: number
+    sentence_timings: SentenceTiming[]
+  }>("/lipsync/tts-preview", data, { timeout: 30000 })
+  return response.data
+}
+
+export const getLipsyncJob = async (id: string): Promise<LipsyncJob> => {
+  const response = await apiClient.get<LipsyncJob>(`/lipsync/jobs/${id}`, { timeout: 60000 })
+  return response.data
+}
+
+/* ── 渲染 ── */
+export const submitRender = async (data: {
+  lipsync_job_id: string
+  script_id?: string
+  b_roll_segments?: BRollSegment[]
+  title_config?: Record<string, unknown>
+  cover_config?: Record<string, unknown>
+  project_id?: string
+}): Promise<RenderJob> => {
+  // title_config 内可含 title_image_dataurl（前端 Canvas 渲染的 PNG dataURL）
+  const response = await apiClient.post<RenderJob>("/ai-avatar/render", data)
+  return response.data
+}
+
+export const getRenderJob = async (jobId: string): Promise<RenderJob> => {
+  const response = await apiClient.get<RenderJob>(`/ai-avatar/render/${jobId}`, { timeout: 60000 })
+  return response.data
+}
+
+export const cancelRenderJob = async (jobId: string): Promise<void> => {
+  await apiClient.post(`/ai-avatar/render/${jobId}/cancel`)
+}
+
+/* ── 从最终渲染成片智能抽封面（POST /ai-avatar/renders/{job_id}/smart-cover） ── */
+export const generateRenderSmartCover = async (
+  jobId: string,
+): Promise<{ cover_url: string; status: string; message: string }> => {
+  const response = await apiClient.post<{ cover_url: string; status: string; message: string }>(
+    `/ai-avatar/render/${jobId}/smart-cover`,
+    {},
+    // 抽帧+评分+转存 OSS 链路较长，120s 超时
+    { timeout: 120000 },
+  )
+  return response.data
+}
+
+/* ── 封面选定后点「完成」正式入库（POST /ai-avatar/render/{job_id}/finalize） ── */
+export const finalizeRenderJob = (renderId: string) =>
+  apiClient.post<{ video_id: string; cover_url: string; status: string }>(
+    `/ai-avatar/render/${renderId}/finalize`,
+  )

apps/web/src/pages/ai-avatar/components/ModalAssetPicker.tsx

@@ -0,0 +1,209 @@
+/**
+ * AI数字人 — 出镜视频选择弹窗（#1809 ③）
+ * 交互对齐智能剪辑 Step2：先选素材库（video 库）→ 再选该库内视频。
+ * 搜索框 + 素材库下拉 + 竖屏 9:16 视频缩略图网格 + 底部确认选择。
+ */
+import { useEffect, useState } from "react"
+import { getAssets, getAssetLibraries, type AssetItem, type AssetLibraryItem } from "@/api/assets"
+
+export interface ModalAssetPickerProps {
+  open: boolean
+  onClose: () => void
+  onSelect: (asset: AssetItem) => void
+  /** 已选中的素材 ID（用于高亮） */
+  selectedId?: string
+}
+
+export function ModalAssetPicker({ open, onClose, onSelect, selectedId }: ModalAssetPickerProps) {
+  const [keyword, setKeyword] = useState("")
+  const [libraries, setLibraries] = useState<AssetLibraryItem[]>([])
+  const [libraryId, setLibraryId] = useState<string>("")
+  const [assets, setAssets] = useState<AssetItem[]>([])
+  const [pickedId, setPickedId] = useState<string | null>(null)
+  const [loadingLibs, setLoadingLibs] = useState(false)
+  const [loadingAssets, setLoadingAssets] = useState(false)
+  const [error, setError] = useState("")
+
+  /* 弹窗打开：重置状态 */
+  useEffect(() => {
+    if (!open) return
+    setKeyword("")
+    setLibraries([])
+    setLibraryId("")
+    setAssets([])
+    setError("")
+    setPickedId(selectedId ?? null)
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [open])
+
+  /* 第一步：加载视频素材库列表（仅 kind=video，对齐智能剪辑 #1777） */
+  useEffect(() => {
+    if (!open) return
+    let cancelled = false
+    setLoadingLibs(true)
+    getAssetLibraries("video")
+      .then((libs) => {
+        if (cancelled) return
+        const list = Array.isArray(libs) ? libs : []
+        setLibraries(list)
+        // 默认选中第一个视频库
+        if (list.length > 0) setLibraryId((prev) => prev || list[0].id)
+      })
+      .catch(() => {
+        if (!cancelled) setError("素材库加载失败，请重试")
+      })
+      .finally(() => {
+        if (!cancelled) setLoadingLibs(false)
+      })
+    return () => {
+      cancelled = true
+    }
+  }, [open])
+
+  /* 第二步：选中库后拉取该库视频素材（关键字防抖） */
+  useEffect(() => {
+    if (!open || !libraryId) return
+    let cancelled = false
+    setLoadingAssets(true)
+    const load = async () => {
+      try {
+        // getAssets 返回 { items, total }；拉满一页（数字人口播视频库通常不大）
+        const { items } = await getAssets(libraryId, { page_size: 100 })
+        if (cancelled) return
+        let list = Array.isArray(items) ? items : []
+        // 仅保留视频素材（出镜视频要求）
+        list = list.filter((a) => a.mime_type?.includes("video"))
+        const kw = keyword.trim()
+        if (kw) list = list.filter((a) => a.name?.includes(kw))
+        setAssets(list)
+        setError("")
+      } catch {
+        if (!cancelled) {
+          setError("素材加载失败，请重试")
+          setAssets([])
+        }
+      } finally {
+        if (!cancelled) setLoadingAssets(false)
+      }
+    }
+    const timer = window.setTimeout(load, 300)
+    return () => {
+      cancelled = true
+      window.clearTimeout(timer)
+    }
+  }, [open, libraryId, keyword])
+
+  if (!open) return null
+
+  const handleConfirm = () => {
+    if (!pickedId) return
+    const asset = assets.find((a) => a.id === pickedId)
+    if (asset) onSelect(asset)
+    onClose()
+  }
+
+  return (
+    <div className="aa-modal-overlay" onClick={onClose}>
+      <div className="aa-modal" onClick={(e) => e.stopPropagation()}>
+        {/* 头部 */}
+        <div className="aa-modal__header">
+          <span className="aa-modal__title">选择出镜视频</span>
+          <button type="button" className="aa-modal__close" onClick={onClose} aria-label="关闭">
+            ×
+          </button>
+        </div>
+
+        {/* 主体：素材库选择 + 搜索 + 网格 */}
+        <div className="aa-modal__body">
+          {/* 第一步：选素材库 */}
+          <div className="aa-asset-search">
+            <select
+              className="aa-select"
+              style={{ width: 160, flex: "0 0 auto" }}
+              value={libraryId}
+              onChange={(e) => setLibraryId(e.target.value)}
+              disabled={loadingLibs || libraries.length === 0}
+            >
+              {libraries.length === 0 ? (
+                <option value="">{loadingLibs ? "素材库加载中…" : "暂无视频素材库"}</option>
+              ) : (
+                libraries.map((lib) => (
+                  <option key={lib.id} value={lib.id}>
+                    📁 {lib.name}
+                  </option>
+                ))
+              )}
+            </select>
+            <input
+              className="aa-input"
+              type="text"
+              placeholder="搜索素材名称…"
+              value={keyword}
+              onChange={(e) => setKeyword(e.target.value)}
+            />
+          </div>
+
+          {libraries.length === 0 && !loadingLibs ? (
+            <div className="aa-empty">
+              <div className="aa-empty__icon">📁</div>
+              暂无视频素材库，请先在「素材库」中创建视频库并上传视频
+            </div>
+          ) : loadingAssets ? (
+            <div className="aa-empty">
+              <div className="aa-empty__icon">⏳</div>
+              素材加载中…
+            </div>
+          ) : error ? (
+            <div className="aa-empty">
+              <div className="aa-empty__icon">⚠️</div>
+              {error}
+            </div>
+          ) : assets.length === 0 ? (
+            <div className="aa-empty">
+              <div className="aa-empty__icon">🎬</div>
+              该素材库暂无视频素材
+            </div>
+          ) : (
+            <div className="aa-asset-grid">
+              {assets.map((asset) => {
+                const isActive = asset.id === pickedId
+                const thumb = asset.thumbnail_url || asset.file_url
+                const isVideo = asset.mime_type?.includes("video")
+                return (
+                  <div
+                    key={asset.id}
+                    className={`aa-asset-card${isActive ? " selected" : ""}`}
+                    onClick={() => setPickedId(asset.id)}
+                  >
+                    {isVideo && !asset.thumbnail_url ? (
+                      <video src={asset.file_url} muted preload="metadata" />
+                    ) : (
+                      <img src={thumb} alt={asset.name} />
+                    )}
+                    {isActive && <div className="aa-asset-card__check">✓</div>}
+                    <div className="aa-asset-card__name">{asset.name}</div>
+                  </div>
+                )
+              })}
+            </div>
+          )}
+        </div>
+
+        {/* 底部：取消 + 确认选择 */}
+        <div className="aa-modal__footer">
+          <button type="button" className="aa-btn aa-btn--ghost" onClick={onClose}>
+            取消
+          </button>
+          <button
+            type="button"
+            className="aa-btn aa-btn--primary"
+            onClick={handleConfirm}
+            disabled={!pickedId}
+          >
+            确认选择
+          </button>
+        </div>
+      </div>
+    </div>
+  )
+}

apps/web/src/pages/ai-avatar/components/ModalBRollEditor.tsx

@@ -0,0 +1,422 @@
+/**
+ * AI数字人 — B-roll 画面插入编辑器弹窗（#1809 ④⑤⑥）
+ *
+ * 布局：
+ * - 左侧：先选素材库（video 库）→ 再选该库视频素材（已被其他 segment 使用的素材
+ *   标灰 + "已选择" 遮罩，pointer-events:none 防重复选择）
+ * - 右侧：文案句子列表（点选对应段落，替代原数字索引框）/ 全屏 or 画中画 / 四角位置+大小
+ *   （开始/结束时间来自后端精确句子时间戳，基于 TTS 音频静音检测）
+ * - 底部：已配置的画面插入列表（可删除）
+ */
+import React, { useEffect, useMemo, useState } from "react"
+import { getAssets, getAssetLibraries, type AssetItem, type AssetLibraryItem } from "@/api/assets"
+import type { BRollSegment, BRollInsertMode, PipPosition, SentenceTiming } from "../types"
+import { splitScriptIntoSentences, type ScriptSentence } from "../utils/sentences"
+
+interface ModalBRollEditorProps {
+  open: boolean
+  onClose: () => void
+  /** 当前已有的 B-roll segments（用于标灰已选素材） */
+  existingSegments: BRollSegment[]
+  /** 文案全文（优先使用对口型时锁定的 scriptText） */
+  scriptText: string
+  /** 对口型成片总时长（秒） */
+  outputDuration: number
+  /** 后端精确句子时间戳（来自 lipsyncJob.sentence_timings） */
+  sentenceTimings?: SentenceTiming[] | null
+  onConfirm: (segment: BRollSegment) => void
+  onRemove: (id: string) => void
+}
+
+const PIP_POSITION_OPTIONS: { value: PipPosition; label: string }[] = [
+  { value: "top-left", label: "左上" },
+  { value: "top-right", label: "右上" },
+  { value: "bottom-left", label: "左下" },
+  { value: "bottom-right", label: "右下" },
+]
+
+const MODE_LABEL: Record<BRollInsertMode, string> = {
+  fullscreen: "全屏切换",
+  pip: "画中画",
+}
+
+const ModalBRollEditor: React.FC<ModalBRollEditorProps> = ({
+  open,
+  onClose,
+  existingSegments,
+  scriptText,
+  outputDuration: _outputDuration,
+  sentenceTimings,
+  onConfirm,
+  onRemove,
+}) => {
+  /* ── 素材库（④ 先选库再选素材） ── */
+  const [libraries, setLibraries] = useState<AssetLibraryItem[]>([])
+  const [libraryId, setLibraryId] = useState<string>("")
+  const [availableAssets, setAvailableAssets] = useState<AssetItem[]>([])
+  const [loadingLibs, setLoadingLibs] = useState(false)
+  const [loadingAssets, setLoadingAssets] = useState(false)
+  const [assetError, setAssetError] = useState("")
+
+  /* ── 右侧设置本地状态 ── */
+  const [selectedAsset, setSelectedAsset] = useState<AssetItem | null>(null)
+  const [selectedSentence, setSelectedSentence] = useState<ScriptSentence | null>(null)
+  const [mode, setMode] = useState<BRollInsertMode>("fullscreen")
+  const [pipPosition, setPipPosition] = useState<PipPosition>("top-right")
+  const [pipScale, setPipScale] = useState(0.3)
+
+  /** 文案分句（优先使用后端精确时间戳，降级为字数比例估算） */
+  const sentences = useMemo(
+    () => splitScriptIntoSentences(scriptText, sentenceTimings, _outputDuration),
+    [scriptText, sentenceTimings, _outputDuration],
+  )
+
+  /** 已被现有 segments 占用的素材 id 集合（标灰、禁止重复选择） */
+  const usedAssetIds = useMemo(
+    () => new Set(existingSegments.map((seg) => seg.asset.id)),
+    [existingSegments],
+  )
+
+  /* 弹窗打开：重置选择 + 加载视频库列表 */
+  useEffect(() => {
+    if (!open) return
+    setSelectedAsset(null)
+    setSelectedSentence(null)
+    setMode("fullscreen")
+    setPipPosition("top-right")
+    setPipScale(0.3)
+    setLibraries([])
+    setLibraryId("")
+    setAvailableAssets([])
+    setAssetError("")
+    setLoadingLibs(true)
+    let cancelled = false
+    getAssetLibraries("video")
+      .then((libs) => {
+        if (cancelled) return
+        const list = Array.isArray(libs) ? libs : []
+        setLibraries(list)
+        if (list.length > 0) setLibraryId(list[0].id)
+      })
+      .catch(() => {
+        if (!cancelled) setAssetError("素材库加载失败，请重试")
+      })
+      .finally(() => {
+        if (!cancelled) setLoadingLibs(false)
+      })
+    return () => {
+      cancelled = true
+    }
+  }, [open])
+
+  /* 选中库后拉取该库视频素材 */
+  useEffect(() => {
+    if (!open || !libraryId) return
+    let cancelled = false
+    setLoadingAssets(true)
+    getAssets(libraryId, { page_size: 100 })
+      .then(({ items }) => {
+        if (cancelled) return
+        const list = (Array.isArray(items) ? items : []).filter((a) =>
+          a.mime_type?.includes("video"),
+        )
+        setAvailableAssets(list)
+        setAssetError("")
+      })
+      .catch(() => {
+        if (!cancelled) {
+          setAssetError("素材加载失败，请重试")
+          setAvailableAssets([])
+        }
+      })
+      .finally(() => {
+        if (!cancelled) setLoadingAssets(false)
+      })
+    return () => {
+      cancelled = true
+    }
+  }, [open, libraryId])
+
+  if (!open) return null
+
+  /** 选择素材（已选素材因 pointer-events:none 不会触发） */
+  const handleSelectAsset = (asset: AssetItem) => {
+    if (usedAssetIds.has(asset.id)) return
+    setSelectedAsset(asset)
+  }
+
+  /** 确认添加一段 B-roll（⑥ 时间取所选句子的精确起止，后端静音检测 / 前端字数比例降级） */
+  const handleConfirm = () => {
+    if (!selectedAsset || !selectedSentence) return
+    const startTime = selectedSentence.startTime
+    const endTime = Math.max(selectedSentence.endTime, startTime + 0.5)
+    const segment: BRollSegment = {
+      id: crypto.randomUUID(),
+      asset: selectedAsset,
+      script_segment_index: selectedSentence.index,
+      start_time: startTime,
+      end_time: endTime,
+      mode,
+      pip_position: pipPosition,
+      pip_scale: mode === "pip" ? pipScale : 0.3,
+    }
+    onConfirm(segment)
+    // 重置素材/句子选择，保留模式设置便于连续添加
+    setSelectedAsset(null)
+    setSelectedSentence(null)
+  }
+
+  const canConfirm = selectedAsset !== null && selectedSentence !== null
+
+  return (
+    <div className="aa-modal-overlay" onClick={onClose}>
+      <div className="aa-modal aa-modal--wide" onClick={(e) => e.stopPropagation()}>
+        {/* 头部 */}
+        <div className="aa-modal__header">
+          <span className="aa-modal__title">🎞️ 画面插入（B-roll）</span>
+          <button type="button" className="aa-modal__close" onClick={onClose}>
+            ✕
+          </button>
+        </div>
+
+        {/* 主体：左素材 + 右设置 */}
+        <div className="aa-modal__body">
+          <div className="aa-broll-modal-body">
+            {/* 左侧：选库 + 素材网格 */}
+            <div className="aa-broll-left">
+              <div className="aa-broll-lib-row">
+                <select
+                  className="aa-select"
+                  value={libraryId}
+                  onChange={(e) => setLibraryId(e.target.value)}
+                  disabled={loadingLibs || libraries.length === 0}
+                >
+                  {libraries.length === 0 ? (
+                    <option value="">{loadingLibs ? "素材库加载中…" : "暂无视频素材库"}</option>
+                  ) : (
+                    libraries.map((lib) => (
+                      <option key={lib.id} value={lib.id}>
+                        📁 {lib.name}
+                      </option>
+                    ))
+                  )}
+                </select>
+              </div>
+              <div className="aa-broll-asset-grid">
+                {availableAssets.map((asset) => {
+                  const alreadySelected = usedAssetIds.has(asset.id)
+                  const isCurrent = selectedAsset?.id === asset.id
+                  const classNames = [
+                    "aa-broll-asset-thumb",
+                    isCurrent ? "selected" : "",
+                    alreadySelected ? "already-selected" : "",
+                  ]
+                    .filter(Boolean)
+                    .join(" ")
+                  return (
+                    <div
+                      key={asset.id}
+                      className={classNames}
+                      onClick={() => handleSelectAsset(asset)}
+                      title={asset.name}
+                    >
+                      {asset.thumbnail_url ? (
+                        <img src={asset.thumbnail_url} alt={asset.name} />
+                      ) : (
+                        <div className="aa-broll-asset-placeholder">🎬</div>
+                      )}
+                      <span className="aa-asset-card__name">{asset.name}</span>
+                    </div>
+                  )
+                })}
+                {loadingAssets ? (
+                  <div className="aa-empty" style={{ gridColumn: "1 / -1" }}>
+                    <div className="aa-empty__icon">⏳</div>
+                    素材加载中…
+                  </div>
+                ) : availableAssets.length === 0 ? (
+                  <div className="aa-empty" style={{ gridColumn: "1 / -1" }}>
+                    <div className="aa-empty__icon">🎬</div>
+                    {assetError || "该素材库暂无视频素材"}
+                  </div>
+                ) : null}
+              </div>
+            </div>
+
+            {/* 右侧：插入设置 */}
+            <div className="aa-broll-right">
+              <div className="aa-broll-settings">
+                {/* ⑤ 文案句子列表（替代段落索引数字框） */}
+                <div className="aa-form-field">
+                  <label className="aa-label">对应文案句子（点选）</label>
+                  {sentences.length === 0 ? (
+                    <div className="aa-sentence-empty">
+                      请先在「文案 & 对口型」面板填写或选择文案
+                    </div>
+                  ) : (
+                    <div className="aa-sentence-list">
+                      {sentences.map((sent) => {
+                        const active = selectedSentence?.index === sent.index
+                        return (
+                          <button
+                            key={sent.index}
+                            type="button"
+                            className={`aa-sentence-item${active ? " active" : ""}`}
+                            onClick={() => setSelectedSentence(sent)}
+                            title={sent.text}
+                          >
+                            <span className="aa-sentence-item__idx">{sent.index + 1}</span>
+                            <span className="aa-sentence-item__text">{sent.text}</span>
+                            <span className="aa-sentence-item__time">
+                              {sent.startTime.toFixed(1)}-{sent.endTime.toFixed(1)}s
+                            </span>
+                          </button>
+                        )
+                      })}
+                    </div>
+                  )}
+                </div>
+
+                {/* 插入模式 */}
+                <div className="aa-form-field">
+                  <label className="aa-label">插入模式</label>
+                  <div className="aa-broll-mode-toggle">
+                    <button
+                      type="button"
+                      className={`aa-broll-mode-btn${mode === "fullscreen" ? " active" : ""}`}
+                      onClick={() => setMode("fullscreen")}
+                    >
+                      全屏切换
+                    </button>
+                    <button
+                      type="button"
+                      className={`aa-broll-mode-btn${mode === "pip" ? " active" : ""}`}
+                      onClick={() => setMode("pip")}
+                    >
+                      画中画
+                    </button>
+                  </div>
+                </div>
+
+                {/* 画中画：四角位置 + 大小 */}
+                {mode === "pip" && (
+                  <>
+                    <div className="aa-form-field">
+                      <label className="aa-label">画中画位置</label>
+                      <div className="aa-pip-positions">
+                        {PIP_POSITION_OPTIONS.map((opt) => (
+                          <button
+                            key={opt.value}
+                            type="button"
+                            className={`aa-pip-pos-btn${
+                              pipPosition === opt.value ? " active" : ""
+                            }`}
+                            onClick={() => setPipPosition(opt.value)}
+                          >
+                            {opt.label}
+                          </button>
+                        ))}
+                      </div>
+                    </div>
+                    <div className="aa-form-field">
+                      <div className="aa-field-label-row">
+                        <label className="aa-label">画中画大小</label>
+                        <span style={{ fontSize: 12, color: "#8c8ca1" }}>
+                          {Math.round(pipScale * 100)}%
+                        </span>
+                      </div>
+                      <input
+                        type="range"
+                        min={0.1}
+                        max={0.6}
+                        step={0.05}
+                        value={pipScale}
+                        onChange={(e) => setPipScale(Number(e.target.value))}
+                        style={{ width: "100%" }}
+                      />
+                    </div>
+                  </>
+                )}
+
+                {/* 当前选择提示（⑥ 自动估算时间在这里展示） */}
+                <div className="aa-broll-hint">
+                  {selectedAsset && selectedSentence ? (
+                    <>
+                      <div>已选素材：{selectedAsset.name}</div>
+                      <div>
+                        对应第 {selectedSentence.index + 1} 句 · 时间段{" "}
+                        {selectedSentence.startTime.toFixed(1)}s -{" "}
+                        {Math.max(
+                          selectedSentence.endTime,
+                          selectedSentence.startTime + 0.5,
+                        ).toFixed(1)}
+                        s
+                      </div>
+                    </>
+                  ) : (
+                    <div style={{ color: "#8c8ca1" }}>
+                      {!selectedAsset ? "请从左侧选择一段素材" : "请在上方点选对应的文案句子"}
+                    </div>
+                  )}
+                </div>
+              </div>
+            </div>
+          </div>
+
+          {/* 底部：已配置的画面插入列表 */}
+          <div className="aa-broll-list">
+            <div className="aa-broll-list__title">已配置画面插入（{existingSegments.length}）</div>
+            {existingSegments.length === 0 ? (
+              <div className="aa-empty" style={{ padding: 12 }}>
+                尚未配置画面插入
+              </div>
+            ) : (
+              existingSegments.map((seg) => (
+                <div key={seg.id} className="aa-broll-item">
+                  {seg.asset.thumbnail_url ? (
+                    <img className="aa-broll-item__thumb" src={seg.asset.thumbnail_url} alt="" />
+                  ) : (
+                    <div className="aa-broll-item__thumb" />
+                  )}
+                  <div className="aa-broll-item__info">
+                    <div style={{ fontWeight: 500, color: "#1a1a2e" }}>{seg.asset.name}</div>
+                    <div style={{ color: "#8c8ca1", fontSize: 11 }}>
+                      第 {seg.script_segment_index + 1} 句 · {MODE_LABEL[seg.mode]}
+                      {seg.mode === "pip" ? ` · ${seg.pip_position}` : ""} ·{" "}
+                      {seg.start_time.toFixed(1)}s - {seg.end_time.toFixed(1)}s
+                    </div>
+                  </div>
+                  <button
+                    type="button"
+                    className="aa-broll-item__remove"
+                    title="删除"
+                    onClick={() => onRemove(seg.id)}
+                  >
+                    🗑
+                  </button>
+                </div>
+              ))
+            )}
+          </div>
+        </div>
+
+        {/* 底部按钮 */}
+        <div className="aa-modal__footer">
+          <button type="button" className="aa-btn" onClick={onClose}>
+            关闭
+          </button>
+          <button
+            type="button"
+            className="aa-btn aa-btn--primary"
+            disabled={!canConfirm}
+            onClick={handleConfirm}
+          >
+            ✅ 添加画面插入
+          </button>
+        </div>
+      </div>
+    </div>
+  )
+}
+
+export default ModalBRollEditor

apps/web/src/pages/ai-avatar/components/ModalCoverSelect.tsx

@@ -0,0 +1,59 @@
+/**
+ * AI数字人 — 封面选择弹窗
+ * 渲染完成后由主页面唤起，内部用 PanelCoverAndGenerate（select-cover 变体）提供
+ * 智能抽帧 + 自定义上传 + 预览 + 确定按钮。
+ */
+import React from "react"
+import type { AiAvatarCoverConfig, RenderJob } from "../types"
+import PanelCoverAndGenerate from "./PanelCoverAndGenerate"
+
+interface ModalCoverSelectProps {
+  open: boolean
+  onClose: () => void
+  renderJob: RenderJob | null
+  coverConfig: AiAvatarCoverConfig
+  onCoverConfigChange: (partial: Partial<AiAvatarCoverConfig>) => void
+  onGenerateRenderSmartCover: (renderId: string) => Promise<{ cover_url: string; message?: string }>
+  onUploadCover?: (file: File) => void
+  onCoverSelected: (coverUrl: string) => void
+}
+
+const ModalCoverSelect: React.FC<ModalCoverSelectProps> = ({
+  open,
+  onClose,
+  renderJob,
+  coverConfig,
+  onCoverConfigChange,
+  onGenerateRenderSmartCover,
+  onUploadCover,
+  onCoverSelected,
+}) => {
+  if (!open) return null
+
+  return (
+    <div className="aa-modal-overlay" onClick={onClose}>
+      <div className="aa-modal" onClick={(e) => e.stopPropagation()} style={{ maxWidth: 480 }}>
+        <div className="aa-modal__header">
+          <span className="aa-modal__title">选择封面</span>
+          <button type="button" className="aa-modal__close" onClick={onClose} aria-label="关闭">
+            ×
+          </button>
+        </div>
+        <div className="aa-modal__body" style={{ padding: 20 }}>
+          <PanelCoverAndGenerate
+            variant="select-cover"
+            coverConfig={coverConfig}
+            onCoverConfigChange={onCoverConfigChange}
+            renderJob={renderJob}
+            onGenerateRenderSmartCover={onGenerateRenderSmartCover}
+            onUploadCover={onUploadCover}
+            onClose={onClose}
+            onCoverSelected={onCoverSelected}
+          />
+        </div>
+      </div>
+    </div>
+  )
+}
+
+export default ModalCoverSelect

apps/web/src/pages/ai-avatar/components/PanelCoverAndGenerate.tsx

@@ -0,0 +1,318 @@
+/**
+ * AI数字人 — 面板5 / 封面选择弹窗内容：
+ * - variant="setup"（默认）：分辨率 / 配置摘要 / 「开始生成视频」按钮，用于主页面步骤2配置阶段；
+ *   渲染完成后仍内嵌封面预览与按钮，方便不打开弹窗直接操作。
+ * - variant="select-cover"：只渲染封面选择区（智能获取封面 + 自定义上传 + 预览），
+ *   用于 ModalCoverSelect 弹窗中；传 onClose 时底部显示「确定」按钮。
+ *
+ * 封面一律从最终成片（已叠加标题/B-roll）抽帧，本面板不再叠加标题。
+ */
+import React, { useRef, useState } from "react"
+import type { AiAvatarCoverConfig, RenderJob } from "../types"
+
+type PanelVariant = "setup" | "select-cover"
+
+interface PanelCoverAndGenerateProps {
+  variant?: PanelVariant
+  coverConfig: AiAvatarCoverConfig
+  onCoverConfigChange: (partial: Partial<AiAvatarCoverConfig>) => void
+  resolution?: string
+  onResolutionChange?: (r: string) => void
+  isGenerating?: boolean
+  onGenerate?: () => void
+  /** 当前渲染任务（渲染完成后才有 output_video_url，才能抽封面） */
+  renderJob: RenderJob | null
+  /** 从最终成片智能抽帧（参数 renderId），返回 { cover_url } */
+  onGenerateRenderSmartCover: (renderId: string) => Promise<{ cover_url: string; message?: string }>
+  /** 自定义上传封面（选择本地文件后由父组件处理实际上传） */
+  onUploadCover?: (file: File) => void
+  /** 弹窗关闭回调（传入则表示在弹窗中使用，底部显示「确定」按钮） */
+  onClose?: () => void
+  /** 封面选好（智能抽帧/自定义上传成功）后通知父组件，参数为封面 URL */
+  onCoverSelected?: (coverUrl: string) => void
+  /** 配置汇总信息（仅 variant="setup" 使用） */
+  summary?: {
+    videoName: string | null
+    voiceName: string | null
+    scriptLength: number
+    lipsyncStatus: string | null
+    brollCount: number
+    hasTitle: boolean
+    /** 封面状态：'not_ready'(视频未生成) / 'pending'(视频生成了但未选) / 'selected'(已选) */
+    coverStatus: "not_ready" | "pending" | "selected"
+  }
+}
+
+const RESOLUTION_OPTIONS = [
+  { value: "720p", label: "720p（高清）" },
+  { value: "1080p", label: "1080p（全高清）" },
+  { value: "4k", label: "4K（超清）" },
+]
+
+const LIPSYNC_STATUS_LABEL: Record<string, { text: string; cls: string }> = {
+  idle: { text: "未开始", cls: "aa-status-badge--idle" },
+  pending: { text: "排队中", cls: "aa-status-badge--pending" },
+  processing: { text: "生成中", cls: "aa-status-badge--processing" },
+  completed: { text: "已完成", cls: "aa-status-badge--completed" },
+  failed: { text: "失败", cls: "aa-status-badge--failed" },
+}
+
+const PanelCoverAndGenerate: React.FC<PanelCoverAndGenerateProps> = ({
+  variant = "setup",
+  coverConfig,
+  onCoverConfigChange,
+  resolution = "720p",
+  onResolutionChange,
+  isGenerating = false,
+  onGenerate,
+  renderJob,
+  onGenerateRenderSmartCover,
+  onUploadCover,
+  onClose,
+  onCoverSelected,
+  summary,
+}) => {
+  const uploadInputRef = useRef<HTMLInputElement>(null)
+  // 内部维护智能封面加载态（修复点 2 次 bug：不依赖外层异步 setState 顺序）
+  const [smartCoverLoading, setSmartCoverLoading] = useState(false)
+
+  /** 自定义上传封面 */
+  const handleUploadClick = () => {
+    uploadInputRef.current?.click()
+  }
+
+  const _applyCoverUrl = (url: string, mode: "upload" | "auto_frame") => {
+    const partial: Partial<AiAvatarCoverConfig> = {
+      mode,
+      thumbnail_url: url,
+    }
+    if (mode === "auto_frame") {
+      partial.smart_cover_url = url
+    } else {
+      partial.upload_url = url
+    }
+    onCoverConfigChange(partial)
+    onCoverSelected?.(url)
+  }
+
+  const handleFileChange = (e: React.ChangeEvent<HTMLInputElement>) => {
+    const file = e.target.files?.[0]
+    if (!file) return
+    if (onUploadCover) {
+      onUploadCover(file)
+      e.target.value = ""
+      return
+    }
+    // 本地预览兜底（实际上传由父级处理；blob URL 仅作本地展示）
+    const url = URL.createObjectURL(file)
+    _applyCoverUrl(url, "upload")
+    e.target.value = ""
+  }
+
+  /** 智能获取封面（从最终成片抽帧；必须等 render 完成） */
+  const handleSmartCover = async () => {
+    if (!renderJob || renderJob.status !== "completed" || !renderJob.id) return
+    setSmartCoverLoading(true)
+    try {
+      const res = await onGenerateRenderSmartCover(renderJob.id)
+      if (res.cover_url) {
+        _applyCoverUrl(res.cover_url, "auto_frame")
+      } else {
+        // 失败由父组件 message 提示，这里不重复弹窗
+        console.warn("[智能封面] 返回空 cover_url:", res.message)
+      }
+    } catch (err) {
+      console.error("[智能封面] 调用失败:", err)
+    } finally {
+      setSmartCoverLoading(false)
+    }
+  }
+
+  const lipsync = summary?.lipsyncStatus ? LIPSYNC_STATUS_LABEL[summary.lipsyncStatus] : null
+  const canGenerate = summary?.lipsyncStatus === "completed" && !isGenerating
+  // 渲染已完成 → 封面区可用
+  const isRenderCompleted = renderJob?.status === "completed"
+  const canSmartCover = isRenderCompleted && !smartCoverLoading
+
+  /** 封面图实际展示的 url：智能封面 > 自定义上传 > 空 */
+  const coverUrl =
+    coverConfig.smart_cover_url || coverConfig.thumbnail_url || coverConfig.upload_url
+  const hasCoverImage = Boolean(coverUrl)
+
+  /** 封面区占位文字 */
+  const coverPlaceholder = isRenderCompleted ? "暂无封面" : "视频生成后可选择封面"
+
+  /** 配置摘要中的封面状态标签 */
+  const coverSummaryNode = (() => {
+    if (!summary) return null
+    if (summary.coverStatus === "selected") {
+      return <span className="aa-config-summary__value">已选择</span>
+    }
+    if (summary.coverStatus === "pending") {
+      return <span className="aa-config-summary__value">待选择</span>
+    }
+    return <span className="aa-config-summary__empty">生成视频后可选</span>
+  })()
+
+  // ── 封面选择区（两种 variant 共用） ─────────────────────────────────
+  const coverSection = (
+    <div className="aa-cover-section" style={{ marginTop: variant === "select-cover" ? 0 : 16 }}>
+      <div className="aa-label" style={{ marginBottom: 8 }}>
+        {variant === "select-cover" ? "选择封面" : "封面"}
+      </div>
+      {/* 封面预览（竖屏 9:16）——成片帧已经通过 Canvas PNG overlay 带有标题，直接展示原图即可 */}
+      <div className="aa-cover-preview" style={{ opacity: isRenderCompleted ? 1 : 0.5 }}>
+        {hasCoverImage ? (
+          <img src={coverUrl!} alt="封面预览" draggable={false} />
+        ) : (
+          <span className="aa-cover-preview__placeholder">{coverPlaceholder}</span>
+        )}
+        {smartCoverLoading && <div className="aa-cover-preview__loading">⏳ 智能选帧中…</div>}
+      </div>
+
+      <div className="aa-cover-actions">
+        <button
+          type="button"
+          className={`aa-btn aa-btn--ghost${coverConfig.mode === "auto_frame" ? " active" : ""}`}
+          onClick={handleSmartCover}
+          disabled={!canSmartCover}
+          title={isRenderCompleted ? "从成片智能选帧" : "请先生成视频"}
+        >
+          {smartCoverLoading ? "⏳ 智能选帧中…" : "🎬 智能获取封面"}
+        </button>
+        <button
+          type="button"
+          className={`aa-btn aa-btn--ghost${coverConfig.mode === "upload" ? " active" : ""}`}
+          onClick={handleUploadClick}
+          disabled={!isRenderCompleted || smartCoverLoading}
+          title={isRenderCompleted ? "自定义上传封面" : "请先生成视频"}
+        >
+          📷 自定义上传
+        </button>
+        <input
+          ref={uploadInputRef}
+          type="file"
+          accept="image/*"
+          style={{ display: "none" }}
+          onChange={handleFileChange}
+        />
+      </div>
+    </div>
+  )
+
+  // ── select-cover 变体：只渲染封面区 + 弹窗确定按钮 ──
+  if (variant === "select-cover") {
+    return (
+      <div className="aa-cover-generate">
+        {coverSection}
+        {onClose && (
+          <div style={{ marginTop: 16, display: "flex", justifyContent: "flex-end" }}>
+            <button type="button" className="aa-btn aa-btn--primary" onClick={onClose}>
+              确定
+            </button>
+          </div>
+        )}
+      </div>
+    )
+  }
+
+  // ── setup 变体：分辨率 / 配置摘要 / 生成按钮（渲染完成后内嵌封面区） ──
+  return (
+    <div className="aa-cover-generate">
+      {/* 分辨率选择 */}
+      <div className="aa-form-field">
+        <label className="aa-label">分辨率</label>
+        <select
+          className="aa-select"
+          value={resolution}
+          onChange={(e) => onResolutionChange?.(e.target.value)}
+          disabled={isGenerating}
+        >
+          {RESOLUTION_OPTIONS.map((opt) => (
+            <option key={opt.value} value={opt.value}>
+              {opt.label}
+            </option>
+          ))}
+        </select>
+      </div>
+
+      {/* 配置汇总 */}
+      <div className="aa-generate-section">
+        <div className="aa-config-summary">
+          <div className="aa-config-summary__row">
+            <span>出镜视频</span>
+            {summary?.videoName ? (
+              <span className="aa-config-summary__value">{summary.videoName}</span>
+            ) : (
+              <span className="aa-config-summary__empty">未配置</span>
+            )}
+          </div>
+          <div className="aa-config-summary__row">
+            <span>音色</span>
+            {summary?.voiceName ? (
+              <span className="aa-config-summary__value">{summary.voiceName}</span>
+            ) : (
+              <span className="aa-config-summary__empty">未配置</span>
+            )}
+          </div>
+          <div className="aa-config-summary__row">
+            <span>文案</span>
+            {summary && summary.scriptLength > 0 ? (
+              <span className="aa-config-summary__value">{summary.scriptLength} 字</span>
+            ) : (
+              <span className="aa-config-summary__empty">未配置</span>
+            )}
+          </div>
+          <div className="aa-config-summary__row">
+            <span>对口型</span>
+            {lipsync ? (
+              <span className={`aa-status-badge ${lipsync.cls}`}>{lipsync.text}</span>
+            ) : (
+              <span className="aa-config-summary__empty">未配置</span>
+            )}
+          </div>
+          <div className="aa-config-summary__row">
+            <span>B-roll 画面插入</span>
+            <span className="aa-config-summary__value">
+              {summary && summary.brollCount > 0 ? `${summary.brollCount} 段` : "无"}
+            </span>
+          </div>
+          <div className="aa-config-summary__row">
+            <span>标题</span>
+            {summary?.hasTitle ? (
+              <span className="aa-config-summary__value">已设置</span>
+            ) : (
+              <span className="aa-config-summary__empty">未配置</span>
+            )}
+          </div>
+          <div className="aa-config-summary__row">
+            <span>封面</span>
+            {coverSummaryNode}
+          </div>
+        </div>
+
+        {/* 生成按钮 */}
+        <button
+          type="button"
+          className="aa-btn aa-btn--generate aa-btn--full"
+          disabled={!canGenerate}
+          onClick={onGenerate}
+        >
+          {isGenerating ? "⏳ 生成中..." : "🚀 开始生成视频"}
+        </button>
+        {summary?.lipsyncStatus !== "completed" && !isGenerating && (
+          <div style={{ marginTop: 8, fontSize: 11, color: "#8c8ca1", textAlign: "center" }}>
+            请先完成对口型生成
+          </div>
+        )}
+        {isGenerating && (
+          <div style={{ marginTop: 8, fontSize: 11, color: "#8c8ca1", textAlign: "center" }}>
+            视频生成中，请稍候…
+          </div>
+        )}
+      </div>
+    </div>
+  )
+}
+
+export default PanelCoverAndGenerate

apps/web/src/pages/ai-avatar/components/PanelLipsyncPreview.tsx

@@ -0,0 +1,338 @@
+/**
+ * AI数字人 — 对口型预览面板（步骤2用）
+ * B-roll 画面插入 + 对口型视频预览 + 生成/重新生成按钮
+ * v3.1: 标题字号按预览容器实际宽度动态计算 previewScale（基准 720p），与成片一致
+ */
+import React, { useCallback, useEffect, useRef, useState } from "react"
+import type { LipsyncJob, BRollSegment, AiAvatarTitleConfig } from "../types"
+
+interface PanelLipsyncPreviewProps {
+  lipsyncJob: LipsyncJob | null
+  onGenerateLipsync: () => void
+  bRollSegments: BRollSegment[]
+  onOpenBRollModal: () => void
+  onRemoveBRoll: (id: string) => void
+  /** 标题配置（实时叠加预览用） */
+  titleConfig?: AiAvatarTitleConfig
+  /** 标题位置变更回调（拖拽结束时调用，发送百分比坐标 + position:"custom"） */
+  onTitlePositionChange?: (pos: { pos_x: number; pos_y: number; position: string }) => void
+}
+
+const BROLL_MODE_LABEL: Record<BRollSegment["mode"], string> = {
+  fullscreen: "全屏",
+  pip: "画中画",
+}
+
+function formatTime(seconds: number): string {
+  const m = Math.floor(seconds / 60)
+  const s = Math.round(seconds % 60)
+  return `${m}:${s.toString().padStart(2, "0")}`
+}
+
+/** 字体名 → CSS font-family 映射（与 titleCanvas 字体链对齐） */
+const FONT_FAMILY_MAP: Record<string, string> = {
+  思源黑体:
+    "'Noto Sans CJK SC', 'Source Han Sans CN', 'PingFang SC', 'Microsoft YaHei', sans-serif",
+  思源宋体: "'Noto Serif SC', 'Source Han Serif SC', 'SimSun', serif",
+  楷体: "KaiTi, 'STKaiti', serif",
+  黑体: "'Heiti SC', 'SimHei', 'Microsoft YaHei', sans-serif",
+}
+const getFontFamily = (font: string): string => FONT_FAMILY_MAP[font] || FONT_FAMILY_MAP["思源黑体"]
+
+export function PanelLipsyncPreview({
+  lipsyncJob,
+  onGenerateLipsync,
+  bRollSegments,
+  onOpenBRollModal,
+  onRemoveBRoll,
+  titleConfig,
+  onTitlePositionChange,
+}: PanelLipsyncPreviewProps) {
+  const titleDragRef = useRef<HTMLDivElement>(null)
+  const draggingTitleRef = useRef(false)
+  const previewContainerRef = useRef<HTMLDivElement>(null)
+  // 预览容器实际宽度（通过 ResizeObserver 监听），用于动态计算 previewScale
+  const [containerWidth, setContainerWidth] = useState(0)
+  const isGenerating = lipsyncJob?.status === "pending" || lipsyncJob?.status === "processing"
+  const isDone = lipsyncJob?.status === "completed"
+  const isFailed = lipsyncJob?.status === "failed"
+
+  const statusText =
+    lipsyncJob?.status === "processing"
+      ? "对口型生成中…"
+      : lipsyncJob?.status === "pending"
+        ? "排队中…"
+        : "对口型生成中…"
+
+  // 监听预览容器尺寸变化，动态测量宽度以计算 previewScale（基准 720p）
+  useEffect(() => {
+    const el = previewContainerRef.current
+    if (!el) return
+    const update = () => setContainerWidth(el.clientWidth || 0)
+    update()
+    if (typeof ResizeObserver !== "undefined") {
+      const ro = new ResizeObserver(update)
+      ro.observe(el)
+      return () => ro.disconnect()
+    }
+    window.addEventListener("resize", update)
+    return () => window.removeEventListener("resize", update)
+  }, [])
+
+  // 预览缩放比：预览宽度 / 720（基准宽度）
+  const previewScale = containerWidth > 0 ? containerWidth / 720 : 0.35
+  const ps = useCallback((v: number) => Math.round(v * previewScale * 100) / 100, [previewScale])
+
+  /** 标题叠加样式（字号/padding/描边/阴影均按 previewScale 缩放，保持与成片视觉一致） */
+  const titleOverlayStyle: React.CSSProperties | null =
+    titleConfig?.title && containerWidth > 0
+      ? (() => {
+          const baseSize = titleConfig.size || 48
+          const fontSize = ps(baseSize)
+          // 描边宽度基准 ≈ size * 0.06，最小 1.5px @720p
+          const strokeW = Math.max(ps(1.5), +(baseSize * 0.06 * previewScale).toFixed(2))
+          // 阴影按比例缩放
+          const shadowBlur = ps(4)
+          const shadowOffsetY = ps(2)
+          // padding / top 边距按比例（基准 8px 对应预览小窗，成片基准 16px，这里 8px 对应约 0.33 缩放）
+          const padV = ps(16) * 0.5 // ≈ 8px in ~240px container
+          const padH = ps(24) * 0.5
+
+          const style: React.CSSProperties = {
+            position: "absolute",
+            color: titleConfig.color || "#ffffff",
+            fontFamily: getFontFamily(titleConfig.font || "思源黑体"),
+            fontSize: `${fontSize}px`,
+            fontWeight: titleConfig.bold ? 700 : 400,
+            fontStyle: titleConfig.italic ? "italic" : "normal",
+            textAlign: "center",
+            width: "90%",
+            lineHeight: 1.2,
+            padding: `${ps(4)}px ${padH}px`,
+            textShadow: titleConfig.shadow
+              ? `0 ${shadowOffsetY}px ${shadowBlur}px rgba(0,0,0,0.8), 0 0 ${ps(2)}px rgba(0,0,0,0.5)`
+              : undefined,
+            WebkitTextStroke: titleConfig.stroke ? `${strokeW}px #000` : undefined,
+            boxSizing: "border-box",
+            wordBreak: "break-word",
+            whiteSpace: "pre-wrap",
+          }
+
+          if (
+            titleConfig.position === "custom" &&
+            titleConfig.pos_x != null &&
+            titleConfig.pos_y != null
+          ) {
+            style.left = `${titleConfig.pos_x}%`
+            style.top = `${titleConfig.pos_y}%`
+            style.transform = "translateX(-50%) translateY(-50%)"
+          } else if (titleConfig.position === "top") {
+            style.left = "50%"
+            style.top = padV
+            style.transform = "translateX(-50%)"
+          } else if (titleConfig.position === "bottom") {
+            style.left = "50%"
+            style.bottom = padV
+            style.transform = "translateX(-50%)"
+          } else {
+            style.left = "50%"
+            style.top = "50%"
+            style.transform = "translateX(-50%) translateY(-50%)"
+          }
+          return style
+        })()
+      : null
+
+  const handleTitlePointerDown = (e: React.PointerEvent<HTMLDivElement>) => {
+    if (!onTitlePositionChange || !previewContainerRef.current) return
+    e.preventDefault()
+    e.stopPropagation()
+    ;(e.target as Element).setPointerCapture(e.pointerId)
+    draggingTitleRef.current = true
+    ;(e.currentTarget as HTMLDivElement).style.cursor = "grabbing"
+  }
+  const handleTitlePointerMove = (e: React.PointerEvent<HTMLDivElement>) => {
+    if (!draggingTitleRef.current || !previewContainerRef.current) return
+    e.preventDefault()
+    e.stopPropagation()
+    if (titleDragRef.current) {
+      const rect = previewContainerRef.current.getBoundingClientRect()
+      const relX = Math.max(0, Math.min(rect.width, e.clientX - rect.left))
+      const relY = Math.max(0, Math.min(rect.height, e.clientY - rect.top))
+      const xpct = (relX / rect.width) * 100
+      const ypct = (relY / rect.height) * 100
+      titleDragRef.current.style.left = `${xpct}%`
+      titleDragRef.current.style.top = `${ypct}%`
+    }
+  }
+  const handleTitlePointerUp = (e: React.PointerEvent<HTMLDivElement>) => {
+    if (!draggingTitleRef.current) return
+    draggingTitleRef.current = false
+    if (onTitlePositionChange && previewContainerRef.current) {
+      const rect = previewContainerRef.current.getBoundingClientRect()
+      const relX = Math.max(0, Math.min(rect.width, e.clientX - rect.left))
+      const relY = Math.max(0, Math.min(rect.height, e.clientY - rect.top))
+      // 发送百分比坐标（0-100），与后端 drawtext 百分比表达式对齐
+      const xpct = Math.round((relX / rect.width) * 1000) / 10
+      const ypct = Math.round((relY / rect.height) * 1000) / 10
+      onTitlePositionChange({ pos_x: xpct, pos_y: ypct, position: "custom" })
+    }
+    ;(e.currentTarget as HTMLDivElement).style.cursor = "grab"
+  }
+
+  return (
+    <div className="aa-script-lipsync">
+      {/* ── B-roll 画面 ── */}
+      <div className="aa-lipsync-section">
+        <div className="aa-lipsync-section__title">
+          <span style={{ marginRight: 8 }}>🎞️ 插入画面</span>
+          {bRollSegments.length > 0 && (
+            <span className="aa-broll-badge">🎬 {bRollSegments.length} 个画面</span>
+          )}
+        </div>
+        <div className="aa-lipsync-actions">
+          <button
+            type="button"
+            className="aa-btn aa-btn--primary aa-btn--full"
+            onClick={onOpenBRollModal}
+          >
+            🎬 插入画面
+          </button>
+        </div>
+
+        {bRollSegments.length > 0 && (
+          <div className="aa-broll-list">
+            {bRollSegments.map((seg) => (
+              <div key={seg.id} className="aa-broll-item">
+                {seg.asset.thumbnail_url || seg.asset.file_url ? (
+                  <img
+                    className="aa-broll-item__thumb"
+                    src={seg.asset.thumbnail_url || seg.asset.file_url}
+                    alt={seg.asset.name}
+                  />
+                ) : (
+                  <span className="aa-broll-item__thumb" style={{ padding: "6px 4px" }}>
+                    🎬
+                  </span>
+                )}
+                <div className="aa-broll-item__info">
+                  <div
+                    style={{
+                      overflow: "hidden",
+                      textOverflow: "ellipsis",
+                      whiteSpace: "nowrap",
+                    }}
+                  >
+                    {seg.asset.name}
+                  </div>
+                  <div style={{ fontSize: 11, color: "#8c8ca1", marginTop: 2 }}>
+                    {BROLL_MODE_LABEL[seg.mode]} · {formatTime(seg.start_time)}-
+                    {formatTime(seg.end_time)}
+                  </div>
+                </div>
+                <button
+                  type="button"
+                  className="aa-broll-item__remove"
+                  title="删除"
+                  onClick={() => onRemoveBRoll(seg.id)}
+                >
+                  ✕
+                </button>
+              </div>
+            ))}
+          </div>
+        )}
+      </div>
+
+      {/* ── 对口型预览（标题字号按 previewScale 动态缩放） ─ */}
+      <div className="aa-lipsync-section">
+        <div className="aa-lipsync-section__title">对口型预览</div>
+
+        <div className="aa-lipsync-preview" ref={previewContainerRef}>
+          {isDone && lipsyncJob?.output_video_url ? (
+            <div style={{ position: "relative", width: "100%", height: "100%" }}>
+              <video src={lipsyncJob.output_video_url} controls />
+              {titleOverlayStyle && (
+                <div
+                  ref={titleDragRef}
+                  style={{
+                    ...titleOverlayStyle,
+                    cursor: onTitlePositionChange ? "grab" : "default",
+                    pointerEvents: onTitlePositionChange ? "auto" : "none",
+                  }}
+                  onPointerDown={handleTitlePointerDown}
+                  onPointerMove={handleTitlePointerMove}
+                  onPointerUp={handleTitlePointerUp}
+                  onPointerCancel={handleTitlePointerUp}
+                >
+                  {titleConfig!.title.split(/[/／]/).map((part, i) => (
+                    <span key={i}>
+                      {i > 0 && <br />}
+                      {part}
+                    </span>
+                  ))}
+                </div>
+              )}
+            </div>
+          ) : isGenerating ? (
+            <div style={{ width: "80%", textAlign: "center", color: "#fff" }}>
+              <div style={{ fontSize: 13, marginBottom: 8 }}>
+                {statusText} {Math.round(lipsyncJob?.progress ?? 0)}%
+              </div>
+              <div className="aa-progress">
+                <div
+                  className="aa-progress__bar"
+                  style={{ width: `${lipsyncJob?.progress ?? 0}%` }}
+                />
+              </div>
+            </div>
+          ) : (
+            <div className="aa-video-preview__placeholder">
+              {isFailed ? (
+                <>
+                  <div style={{ fontSize: 28, marginBottom: 8 }}>❌</div>
+                  <div>对口型生成失败</div>
+                  {lipsyncJob?.error_message && (
+                    <div
+                      style={{
+                        fontSize: 11,
+                        marginTop: 4,
+                        color: "#fca5a5",
+                      }}
+                    >
+                      {lipsyncJob.error_message}
+                    </div>
+                  )}
+                </>
+              ) : (
+                "生成对口型视频后在此预览"
+              )}
+            </div>
+          )}
+        </div>
+
+        <div className="aa-lipsync-actions">
+          {isDone ? (
+            <button type="button" className="aa-btn aa-btn--full" onClick={onGenerateLipsync}>
+              🔄 重新生成对口型
+            </button>
+          ) : isGenerating ? (
+            <button type="button" className="aa-btn aa-btn--full" disabled>
+              对口型生成中…
+            </button>
+          ) : (
+            <button
+              type="button"
+              className="aa-btn aa-btn--primary aa-btn--full"
+              onClick={onGenerateLipsync}
+            >
+              🎬 生成对口型视频
+            </button>
+          )}
+        </div>
+      </div>
+    </div>
+  )
+}
+
+export default PanelLipsyncPreview

apps/web/src/pages/ai-avatar/components/PanelScript.tsx

@@ -0,0 +1,67 @@
+/**
+ * AI数字人 — 文案面板（步骤1用）
+ * 文案库选择 / 手动输入 + 字数统计
+ */
+import { useState } from "react"
+
+interface PanelScriptProps {
+  scriptText: string
+  onScriptTextChange: (text: string) => void
+  onOpenScriptModal: () => void
+}
+
+type ScriptTab = "library" | "manual"
+
+export function PanelScript({
+  scriptText,
+  onScriptTextChange,
+  onOpenScriptModal,
+}: PanelScriptProps) {
+  const [scriptTab, setScriptTab] = useState<ScriptTab>("library")
+
+  return (
+    <div className="aa-script-lipsync">
+      {/* ── Tab 切换 ── */}
+      <div className="aa-script-tabs">
+        <button
+          type="button"
+          className={`aa-script-tab${scriptTab === "library" ? " active" : ""}`}
+          onClick={() => setScriptTab("library")}
+        >
+          从文案库选择
+        </button>
+        <button
+          type="button"
+          className={`aa-script-tab${scriptTab === "manual" ? " active" : ""}`}
+          onClick={() => setScriptTab("manual")}
+        >
+          手动输入
+        </button>
+      </div>
+
+      {scriptTab === "library" && (
+        <button
+          type="button"
+          className="aa-btn aa-btn--ghost aa-btn--full"
+          style={{ marginBottom: 8 }}
+          onClick={onOpenScriptModal}
+        >
+          📚 从文案库选择文案
+        </button>
+      )}
+
+      <textarea
+        className="aa-textarea"
+        value={scriptText}
+        readOnly={scriptTab === "library"}
+        placeholder={
+          scriptTab === "library" ? "点击上方按钮，从文案库选择文案…" : "请输入数字人口播文案…"
+        }
+        onChange={(e) => onScriptTextChange(e.target.value)}
+      />
+      <div className="aa-char-count">{scriptText.length} 字</div>
+    </div>
+  )
+}
+
+export default PanelScript

apps/web/src/pages/ai-avatar/components/PanelTitleConfig.tsx

@@ -0,0 +1,134 @@
+/**
+ * AI数字人 — 面板4：标题配置
+ *
+ * 关键：直接复用智能剪辑（generate）模块的 TitleStylePanel 标题样式面板，
+ * 不重新开发标题预设/字体/位置等样式能力。本组件只负责：
+ * - 主标题文字输入
+ * - AiAvatarTitleConfig ↔ TitleSettings 的双向适配
+ * - 自动生成字幕开关
+ */
+import React, { useMemo, useState, useEffect } from "react"
+import { Input } from "antd"
+import TitleStylePanel from "@/pages/generate/components/title/TitleStylePanel"
+import TitleLibraryAutoComplete from "@/pages/generate/components/title/TitleLibraryAutoComplete"
+import type { TitleOption } from "@/pages/generate/components/title/TitleLibraryAutoComplete"
+import type { TitleSettings } from "@/pages/generate/types"
+import { POSITION_OPTIONS, FONT_OPTIONS, TITLE_PRESETS } from "@/pages/generate/constants"
+import type { AiAvatarTitleConfig } from "../types"
+import { getTitles } from "@/api/titles"
+
+const { TextArea } = Input
+
+interface PanelTitleConfigProps {
+  titleConfig: AiAvatarTitleConfig
+  onUpdate: (partial: Partial<AiAvatarTitleConfig>) => void
+}
+
+const PanelTitleConfig: React.FC<PanelTitleConfigProps> = ({ titleConfig, onUpdate }) => {
+  /** TitleStylePanel 内部高亮的预设 key（面板本地状态） */
+  const [activePreset, setActivePreset] = useState<string | null>(null)
+
+  /** 标题库选项（复用智能剪辑的标题库） */
+  const [titleOptions, setTitleOptions] = useState<TitleOption[]>([])
+  useEffect(() => {
+    getTitles()
+      .then((items) => setTitleOptions(items.map((t) => ({ label: t.content, value: t.content }))))
+      .catch(() => setTitleOptions([]))
+  }, [])
+
+  /** AiAvatarTitleConfig → TitleSettings（补齐 aiAutoSelect / 自由坐标字段） */
+  const titleSettings: TitleSettings = useMemo(
+    () => ({
+      aiAutoSelect: false,
+      title: titleConfig.title,
+      position: titleConfig.position,
+      font: titleConfig.font,
+      size: titleConfig.size,
+      bold: titleConfig.bold,
+      italic: titleConfig.italic,
+      stroke: titleConfig.stroke,
+      shadow: titleConfig.shadow,
+      color: titleConfig.color,
+      posX: null,
+      posY: null,
+    }),
+    [titleConfig],
+  )
+
+  /** 应用预设：与智能剪辑一致，只覆盖 color/bold/italic/stroke/shadow，不改变字号 */
+  const handleApplyPreset = (presetKey: string) => {
+    const preset = TITLE_PRESETS.find((p) => p.key === presetKey)
+    if (!preset) return
+    setActivePreset(presetKey)
+    onUpdate({
+      color: preset.style.color,
+      bold: preset.style.bold,
+      italic: preset.style.italic,
+      stroke: preset.style.stroke,
+      shadow: preset.style.shadow,
+    })
+  }
+
+  return (
+    <div className="aa-title-config">
+      {/* 主标题输入 — TextArea 多行 + 标题库选择 */}
+      <div className="aa-form-field">
+        <label className="aa-label">主标题</label>
+        <TextArea
+          className="aa-title-input"
+          placeholder="输入视频标题（支持 / 分行）"
+          value={titleConfig.title}
+          autoSize={{ minRows: 2, maxRows: 4 }}
+          maxLength={200}
+          onChange={(e) => onUpdate({ title: e.target.value })}
+          style={{ fontSize: 15 }}
+        />
+        <div style={{ marginTop: 8, display: "flex", alignItems: "center", gap: 8 }}>
+          <span style={{ fontSize: 12, color: "#8c8ca1", whiteSpace: "nowrap" }}>📚 标题库</span>
+          <TitleLibraryAutoComplete
+            key={titleConfig.title}
+            placeholder="选择标题填入上方"
+            value=""
+            onChange={(val) => {
+              if (val) onUpdate({ title: val })
+            }}
+            options={titleOptions}
+            maxLength={200}
+            style={{ flex: 1 }}
+          />
+        </div>
+      </div>
+
+      {/* 标题样式：直接复用智能剪辑 TitleStylePanel（位置/字体/字号/样式/预设） */}
+      <TitleStylePanel
+        settings={titleSettings}
+        onUpdatePosition={(position) => onUpdate({ position })}
+        onUpdateFont={(font) => onUpdate({ font })}
+        onUpdateSize={(size) => onUpdate({ size: Math.min(128, Math.max(16, size)) })}
+        onToggleBold={() => onUpdate({ bold: !titleConfig.bold })}
+        onToggleItalic={() => onUpdate({ italic: !titleConfig.italic })}
+        onToggleStroke={() => onUpdate({ stroke: !titleConfig.stroke })}
+        onToggleShadow={() => onUpdate({ shadow: !titleConfig.shadow })}
+        onApplyPreset={handleApplyPreset}
+        activePreset={activePreset}
+        titlePresets={TITLE_PRESETS}
+        POSITION_OPTIONS={POSITION_OPTIONS}
+        FONT_OPTIONS={FONT_OPTIONS}
+      />
+
+      {/* 自动生成字幕 */}
+      <div className="aa-subtitle-toggle">
+        <label className="aa-checkbox-row">
+          <input
+            type="checkbox"
+            checked={titleConfig.auto_subtitle}
+            onChange={(e) => onUpdate({ auto_subtitle: e.target.checked })}
+          />
+          自动生成字幕
+        </label>
+      </div>
+    </div>
+  )
+}
+
+export default PanelTitleConfig

apps/web/src/pages/ai-avatar/components/PanelVideoSelector.tsx

@@ -0,0 +1,93 @@
+/**
+ * AI数字人 — 出镜视频选择面板
+ * - 未选视频：虚线上传区，点击打开素材库弹窗
+ * - 已选视频：竖屏 9:16 预览播放器 + 视频信息卡片 + 移除按钮
+ *
+ * 注意：本面板只展示原始素材视频，不叠加标题（标题在对口型预览和最终成片上展示）
+ */
+import type { AssetItem } from "@/api/assets"
+
+export interface PanelVideoSelectorProps {
+  selectedVideo: AssetItem | null
+  /** 触发打开素材库弹窗 */
+  onSelectVideo: () => void
+  onRemoveVideo: () => void
+}
+
+/** 格式化时长（秒 → mm:ss） */
+function formatDuration(seconds?: number): string {
+  if (typeof seconds !== "number" || !Number.isFinite(seconds) || seconds <= 0) {
+    return "00:00"
+  }
+  return `${Math.floor(seconds / 60)}:${String(Math.floor(seconds % 60)).padStart(2, "0")}`
+}
+
+export function PanelVideoSelector({
+  selectedVideo,
+  onSelectVideo,
+  onRemoveVideo,
+}: PanelVideoSelectorProps) {
+  /* 未选视频：虚线上传区，点击打开素材库弹窗 */
+  if (!selectedVideo) {
+    return (
+      <div
+        className="aa-upload-zone"
+        role="button"
+        tabIndex={0}
+        onClick={onSelectVideo}
+        onKeyDown={(e) => {
+          if (e.key === "Enter" || e.key === " ") {
+            e.preventDefault()
+            onSelectVideo()
+          }
+        }}
+      >
+        <div className="aa-upload-zone__icon">🎬</div>
+        <div className="aa-upload-zone__text">从素材库选择视频</div>
+      </div>
+    )
+  }
+
+  const width = selectedVideo.metadata?.width
+  const height = selectedVideo.metadata?.height
+  const duration = selectedVideo.duration ?? selectedVideo.metadata?.duration
+  const fileUrl = selectedVideo.file_url ?? ""
+
+  return (
+    <div>
+      {/* 竖屏 9:16 视频预览播放器（纯素材预览，不叠加标题） */}
+      <div className="aa-video-preview">
+        {fileUrl ? (
+          <video src={fileUrl} poster={selectedVideo.thumbnail_url} controls playsInline />
+        ) : (
+          <div className="aa-video-preview__placeholder">视频暂不可预览</div>
+        )}
+      </div>
+
+      {/* 视频信息卡片：文件名 / 时长 / 分辨率 */}
+      <div className="aa-video-info">
+        <div className="aa-video-info__row">
+          <span>文件名</span>
+          <span title={selectedVideo.name}>{selectedVideo.name}</span>
+        </div>
+        <div className="aa-video-info__row">
+          <span>时长</span>
+          <span>{formatDuration(duration)}</span>
+        </div>
+        <div className="aa-video-info__row">
+          <span>分辨率</span>
+          <span>{width && height ? `${width}×${height}` : "—"}</span>
+        </div>
+      </div>
+
+      <button
+        type="button"
+        className="aa-btn aa-btn--danger aa-btn--full"
+        style={{ marginTop: 10 }}
+        onClick={onRemoveVideo}
+      >
+        移除视频
+      </button>
+    </div>
+  )
+}

apps/web/src/pages/ai-avatar/components/PanelVoiceSelector.tsx

@@ -0,0 +1,323 @@
+/**
+ * AI数字人 — 配音库面板（面板3）
+ * 音色来源切换（系统预设 / 我的音色）、音色选择与试听、情绪/语速/语言参数
+ */
+import { useEffect, useRef, useState } from "react"
+import { message } from "antd"
+import { fetchVoices } from "@/api/voices/voices"
+import { previewTts } from "@/api/tts"
+import { normalizeEmotion } from "../utils/contract"
+import type { UnifiedVoiceItem } from "@/api/voices/types"
+import {
+  type VoiceSource,
+  type VoiceEmotion,
+  type VoiceLanguage,
+  VOICE_EMOTION_OPTIONS,
+  VOICE_LANGUAGE_OPTIONS,
+} from "../types"
+
+interface PanelVoiceSelectorProps {
+  voiceSource: VoiceSource
+  onVoiceSourceChange: (source: VoiceSource) => void
+  selectedVoice: UnifiedVoiceItem | null
+  onSelectVoice: (voice: UnifiedVoiceItem) => void
+  emotion: VoiceEmotion
+  onEmotionChange: (e: VoiceEmotion) => void
+  speed: number
+  onSpeedChange: (s: number) => void
+  language: VoiceLanguage
+  onLanguageChange: (l: VoiceLanguage) => void
+}
+
+export function PanelVoiceSelector({
+  voiceSource,
+  onVoiceSourceChange,
+  selectedVoice,
+  onSelectVoice,
+  emotion,
+  onEmotionChange,
+  speed,
+  onSpeedChange,
+  language,
+  onLanguageChange,
+}: PanelVoiceSelectorProps) {
+  const [voices, setVoices] = useState<UnifiedVoiceItem[]>([])
+  const [loading, setLoading] = useState(false)
+  const [error, setError] = useState<string | null>(null)
+  const [previewingId, setPreviewingId] = useState<string | null>(null)
+  const audioRef = useRef<HTMLAudioElement | null>(null)
+  /** 克隆音色试听合成缓存：voiceId -> url，对齐配音库 useAudioPlayer */
+  const previewCacheRef = useRef<Map<string, string>>(new Map())
+  const VOICE_PREVIEW_TEXT = "你好呀，欢迎使用小虾智剪，这是我的配音效果，希望你喜欢。"
+
+  /* 切换来源时重新获取音色列表 */
+  useEffect(() => {
+    let cancelled = false
+    const loadVoices = async () => {
+      setLoading(true)
+      setError(null)
+      try {
+        const res = await fetchVoices({ type: voiceSource })
+        if (!cancelled) setVoices(Array.isArray(res?.items) ? res.items : [])
+      } catch (err) {
+        if (!cancelled) setError(err instanceof Error ? err.message : "音色加载失败")
+      } finally {
+        if (!cancelled) setLoading(false)
+      }
+    }
+    loadVoices()
+    return () => {
+      cancelled = true
+    }
+  }, [voiceSource])
+
+  /* 卸载时停止试听 */
+  useEffect(() => {
+    return () => {
+      if (audioRef.current) {
+        audioRef.current.pause()
+        audioRef.current = null
+      }
+    }
+  }, [])
+
+  const stopPreview = () => {
+    if (audioRef.current) {
+      audioRef.current.pause()
+      audioRef.current = null
+    }
+    setPreviewingId(null)
+  }
+
+  const NO_PREVIEW_TIP = "该音色暂无试听音频，请先用此音色生成一段配音后再试听"
+
+  /** 用指定 URL 真实播放（抽取公共） */
+  const playAudioUrl = (voiceId: string, url: string) => {
+    // 临时兼容：后端 /tts/preview 返回 HTTP URL，staging 是 HTTPS，Mixed Content 会阻止加载
+    // OSS 同时支持 HTTP/HTTPS，直接替换协议即可
+    const safeUrl = url.startsWith("http://") ? url.replace("http://", "https://") : url
+    if (audioRef.current) {
+      audioRef.current.pause()
+      audioRef.current = null
+    }
+    const audio = new Audio(safeUrl)
+    audioRef.current = audio
+    setPreviewingId(voiceId)
+    audio.onended = () => {
+      if (audioRef.current === audio) {
+        audioRef.current = null
+        setPreviewingId(null)
+      }
+    }
+    audio.onerror = () => {
+      if (audioRef.current === audio) {
+        audioRef.current = null
+        setPreviewingId(null)
+        message.error("试听音频加载失败")
+      }
+    }
+    void audio.play().catch(() => {
+      setPreviewingId(null)
+      message.error("试听播放失败")
+    })
+  }
+
+  const handlePreview = async (voice: UnifiedVoiceItem) => {
+    /* 再次点击当前试听音色 → 停止 */
+    if (previewingId === voice.id) {
+      stopPreview()
+      return
+    }
+
+    /* 克隆音色：preview_url/audio_url 通常为空，需走 POST /tts/preview
+     * 现合成示例文案再播放，对齐配音库 useAudioPlayer 行为 */
+    if (voice.type === "clone") {
+      const cached = previewCacheRef.current.get(voice.voice_clone_profile_id || voice.id)
+      if (cached) {
+        playAudioUrl(voice.id, cached)
+        return
+      }
+      const targetId = voice.voice_clone_profile_id || voice.id
+      // DEBUG: 打印请求参数，帮助定位 /tts/preview 失败原因
+      setPreviewingId(voice.id)
+      try {
+        const res = await previewTts({
+          text: VOICE_PREVIEW_TEXT,
+          voice_id: targetId,
+          speed: speed, // 透传用户选择的语速（#1822）
+          emotion: normalizeEmotion(emotion), // 情绪中文→英文枚举
+        })
+        if (!res.audio_url) {
+          setPreviewingId(null)
+          message.error("合成试听失败：未返回音频")
+          return
+        }
+        previewCacheRef.current.set(targetId, res.audio_url)
+        playAudioUrl(voice.id, res.audio_url)
+      } catch (err) {
+        setPreviewingId(null)
+        // DEBUG: 打印详细错误信息
+        console.error("[AI数字人-克隆试听] previewTts 失败:", {
+          status: (err as { response?: { status?: number } })?.response?.status,
+          data: (err as { response?: { data?: unknown } })?.response?.data,
+          message: err instanceof Error ? err.message : String(err),
+        })
+        // apiClient 拦截器已统一 toast
+      }
+      return
+    }
+
+    /* 系统预设音色：沿用 preview_url/audio_url 直链播放 */
+    const url = voice.preview_url || voice.audio_url
+    if (!url) {
+      message.warning(NO_PREVIEW_TIP)
+      return
+    }
+    playAudioUrl(voice.id, url)
+  }
+
+  const handleSpeedChange = (value: string) => {
+    const parsed = parseFloat(value)
+    if (Number.isNaN(parsed)) return
+    const clamped = Math.min(2.0, Math.max(0.5, parsed))
+    onSpeedChange(clamped)
+  }
+
+  return (
+    <div className="aa-voice-selector">
+      {/* 音色来源切换 */}
+      <div className="aa-voice-source-toggle">
+        <button
+          type="button"
+          className={`aa-voice-source-btn${voiceSource === "preset" ? " active" : ""}`}
+          onClick={() => onVoiceSourceChange("preset")}
+        >
+          系统预设
+        </button>
+        <button
+          type="button"
+          className={`aa-voice-source-btn${voiceSource === "clone" ? " active" : ""}`}
+          onClick={() => onVoiceSourceChange("clone")}
+        >
+          我的音色
+        </button>
+      </div>
+
+      {/* 音色列表 */}
+      {loading ? (
+        <div className="aa-empty">
+          <div className="aa-empty__icon">⏳</div>
+          <div>音色加载中…</div>
+        </div>
+      ) : error ? (
+        <div className="aa-empty">
+          <div className="aa-empty__icon">⚠️</div>
+          <div>{error}</div>
+        </div>
+      ) : voices.length === 0 ? (
+        <div className="aa-empty">
+          <div className="aa-empty__icon">🎙️</div>
+          <div>{voiceSource === "clone" ? "还没有克隆音色" : "暂无预置音色"}</div>
+        </div>
+      ) : (
+        <div className="aa-voice-list">
+          {voices.map((voice) => {
+            const selected = selectedVoice?.id === voice.id
+            const previewUrl = voice.preview_url || voice.audio_url
+            return (
+              <div
+                key={voice.id}
+                className={`aa-voice-card${selected ? " selected" : ""}`}
+                onClick={() => onSelectVoice(voice)}
+              >
+                <span className="aa-voice-card__radio" />
+                <div className="aa-voice-card__info">
+                  <div className="aa-voice-card__name">{voice.name}</div>
+                  {voice.description && (
+                    <div className="aa-voice-card__desc">{voice.description}</div>
+                  )}
+                </div>
+                <button
+                  type="button"
+                  className="aa-voice-card__preview"
+                  title={previewingId === voice.id ? "停止试听" : "试听"}
+                  disabled={voice.type === "preset" && !previewUrl}
+                  onClick={(e) => {
+                    e.stopPropagation()
+                    handlePreview(voice)
+                  }}
+                >
+                  {previewingId === voice.id ? "⏸" : "▶"}
+                </button>
+              </div>
+            )
+          })}
+        </div>
+      )}
+
+      {/* 我的音色：克隆入口 */}
+      {voiceSource === "clone" && (
+        <div className="aa-clone-entry">
+          <a href="/app/voice-clone">+ 克隆新音色</a>
+        </div>
+      )}
+
+      {/* 配音参数 */}
+      <div className="aa-voice-params">
+        <div className="aa-voice-params__row">
+          <div className="aa-voice-params__field">
+            <label className="aa-label" htmlFor="aa-voice-emotion">
+              情绪
+            </label>
+            <select
+              id="aa-voice-emotion"
+              className="aa-select"
+              value={emotion}
+              onChange={(e) => onEmotionChange(e.target.value as VoiceEmotion)}
+            >
+              {VOICE_EMOTION_OPTIONS.map((opt) => (
+                <option key={opt.value} value={opt.value}>
+                  {opt.label}
+                </option>
+              ))}
+            </select>
+          </div>
+          <div className="aa-voice-params__field">
+            <label className="aa-label" htmlFor="aa-voice-language">
+              语言
+            </label>
+            <select
+              id="aa-voice-language"
+              className="aa-select"
+              value={language}
+              onChange={(e) => onLanguageChange(e.target.value as VoiceLanguage)}
+            >
+              {VOICE_LANGUAGE_OPTIONS.map((opt) => (
+                <option key={opt.value} value={opt.value}>
+                  {opt.label}
+                </option>
+              ))}
+            </select>
+          </div>
+        </div>
+        <div className="aa-voice-params__field">
+          <label className="aa-label" htmlFor="aa-voice-speed">
+            语速（{speed.toFixed(1)}x）
+          </label>
+          <input
+            id="aa-voice-speed"
+            type="number"
+            className="aa-input"
+            min={0.5}
+            max={2.0}
+            step={0.1}
+            value={speed}
+            onChange={(e) => handleSpeedChange(e.target.value)}
+          />
+        </div>
+      </div>
+    </div>
+  )
+}
+
+export default PanelVoiceSelector

apps/web/src/pages/ai-avatar/components/TitleLibraryModal.tsx

@@ -0,0 +1,97 @@
+/**
+ * AI数字人 — 标题库选择弹窗
+ * 复用智能剪辑的标题库 API，选择标题后填入输入框
+ */
+import React, { useEffect, useState } from "react"
+import { getTitles } from "@/api/titles"
+import type { TitleItem } from "@/api/titles/types"
+
+interface TitleLibraryModalProps {
+  open: boolean
+  onClose: () => void
+  onSelect: (title: string) => void
+}
+
+const TitleLibraryModal: React.FC<TitleLibraryModalProps> = ({ open, onClose, onSelect }) => {
+  const [titles, setTitles] = useState<TitleItem[]>([])
+  const [loading, setLoading] = useState(false)
+  const [search, setSearch] = useState("")
+
+  useEffect(() => {
+    if (!open) return
+    setLoading(true)
+    getTitles()
+      .then((items) => setTitles(items))
+      .catch(() => setTitles([]))
+      .finally(() => setLoading(false))
+  }, [open])
+
+  const filtered = titles.filter(
+    (t) => !search || t.content.toLowerCase().includes(search.toLowerCase()),
+  )
+
+  if (!open) return null
+
+  return (
+    <div className="aa-modal-overlay" onClick={onClose}>
+      <div className="aa-modal" onClick={(e) => e.stopPropagation()} style={{ maxWidth: 600 }}>
+        <div className="aa-modal__header">
+          <span className="aa-modal__title">从标题库选择</span>
+          <button className="aa-modal__close" onClick={onClose}></button>
+        </div>
+        <div className="aa-modal__body">
+          <div style={{ marginBottom: 12 }}>
+            <input
+              className="aa-input"
+              placeholder="搜索标题..."
+              value={search}
+              onChange={(e) => setSearch(e.target.value)}
+            />
+          </div>
+          {loading ? (
+            <div style={{ textAlign: "center", padding: 40, color: "#8c8ca1" }}>加载中...</div>
+          ) : filtered.length === 0 ? (
+            <div style={{ textAlign: "center", padding: 40, color: "#8c8ca1" }}>
+              暂无标题，请先在标题库创建
+            </div>
+          ) : (
+            <div style={{ maxHeight: 400, overflowY: "auto" }}>
+              {filtered.map((t) => (
+                <div
+                  key={t.id}
+                  style={{
+                    padding: "12px 16px",
+                    marginBottom: 8,
+                    background: "#f8f8fc",
+                    borderRadius: 8,
+                    cursor: "pointer",
+                    transition: "background 0.2s",
+                  }}
+                  onMouseEnter={(e) => (e.currentTarget.style.background = "#eef0ff")}
+                  onMouseLeave={(e) => (e.currentTarget.style.background = "#f8f8fc")}
+                  onClick={() => {
+                    onSelect(t.content)
+                    onClose()
+                  }}
+                >
+                  <div style={{ fontSize: 14, color: "#1a1a2e", marginBottom: 4 }}>{t.content}</div>
+                  <div style={{ fontSize: 12, color: "#8c8ca1" }}>
+                    {t.word_count ?? t.content.length}字 ·{" "}
+                    {t.created_at ? new Date(t.created_at).toLocaleDateString() : ""}
+                  </div>
+                </div>
+              ))}
+            </div>
+          )}
+        </div>
+        <div className="aa-modal__footer">
+          <button className="aa-btn" onClick={onClose}>
+            取消
+          </button>
+        </div>
+      </div>
+    </div>
+  )
+}
+
+export default TitleLibraryModal

apps/web/src/pages/ai-avatar/hooks/useAiAvatar.ts

@@ -0,0 +1,158 @@
+/**
+ * AI数字人 — 页面全局状态管理 hook（v3 + #1845 配音前置）
+ */
+import { useState, useCallback } from "react"
+import type { AssetItem } from "@/api/assets"
+import type { UnifiedVoiceItem } from "@/api/voices/types"
+import {
+  type VoiceSource,
+  type VoiceEmotion,
+  type VoiceLanguage,
+  type Script,
+  type LipsyncJob,
+  type BRollSegment,
+  type AiAvatarTitleConfig,
+  type AiAvatarCoverConfig,
+  type TtsPreviewResult,
+  DEFAULT_TITLE_CONFIG,
+  DEFAULT_COVER_CONFIG,
+} from "../types"
+
+const DEFAULT_TTS_PREVIEW: TtsPreviewResult = {
+  audioUrl: null,
+  duration: 0,
+  sentenceTimings: [],
+  status: "idle",
+  error: null,
+}
+
+export function useAiAvatar() {
+  /* ── 面板1：出镜视频 ── */
+  const [selectedVideo, setSelectedVideo] = useState<AssetItem | null>(null)
+  const [showAssetPicker, setShowAssetPicker] = useState(false)
+
+  /* ── 面板2：配音库 ── */
+  const [voiceSource, setVoiceSource] = useState<VoiceSource>("preset")
+  const [selectedVoice, setSelectedVoice] = useState<UnifiedVoiceItem | null>(null)
+  const [emotion, setEmotion] = useState<VoiceEmotion>("natural")
+  const [speed, setSpeed] = useState(1.0)
+  const [language, setLanguage] = useState<VoiceLanguage>("mandarin")
+
+  /* ── 面板3：文案 & 对口型 ── */
+  const [script, setScript] = useState<Script | null>(null)
+  const [scriptText, setScriptText] = useState("")
+  const [lipsyncJob, setLipsyncJob] = useState<LipsyncJob | null>(null)
+  const [showScriptModal, setShowScriptModal] = useState(false)
+  const [showBRollModal, setShowBRollModal] = useState(false)
+
+  /* ── #1845 TTS 预合成（步骤1「生成配音」） ── */
+  const [ttsPreview, setTtsPreview] = useState<TtsPreviewResult>(DEFAULT_TTS_PREVIEW)
+
+  /* ── 面板3.5：B-roll ── */
+  const [bRollSegments, setBRollSegments] = useState<BRollSegment[]>([])
+
+  /* ── 面板4：标题配置 ── */
+  const [titleConfig, setTitleConfig] = useState<AiAvatarTitleConfig>(DEFAULT_TITLE_CONFIG)
+
+  /* ── 面板5：封面 & 生成 ── */
+  const [coverConfig, setCoverConfig] = useState<AiAvatarCoverConfig>(DEFAULT_COVER_CONFIG)
+  const [resolution, setResolution] = useState("1080p")
+  const [isGenerating, setIsGenerating] = useState(false)
+
+  /* ── Actions ── */
+  const selectVideo = useCallback((asset: AssetItem) => {
+    setSelectedVideo(asset)
+    setShowAssetPicker(false)
+  }, [])
+
+  const removeVideo = useCallback(() => {
+    setSelectedVideo(null)
+  }, [])
+
+  const selectScript = useCallback((s: Script) => {
+    setScript(s)
+    setScriptText(s.content)
+    setShowScriptModal(false)
+  }, [])
+
+  const addBRollSegment = useCallback((segment: BRollSegment) => {
+    setBRollSegments((prev) => [...prev, segment])
+  }, [])
+
+  const removeBRollSegment = useCallback((id: string) => {
+    setBRollSegments((prev) => prev.filter((s) => s.id !== id))
+  }, [])
+
+  const updateTitleConfig = useCallback((partial: Partial<AiAvatarTitleConfig>) => {
+    setTitleConfig((prev) => ({ ...prev, ...partial }))
+  }, [])
+
+  const reset = useCallback(() => {
+    setSelectedVideo(null)
+    setSelectedVoice(null)
+    setScript(null)
+    setScriptText("")
+    setLipsyncJob(null)
+    setTtsPreview(DEFAULT_TTS_PREVIEW)
+    setBRollSegments([])
+    setTitleConfig(DEFAULT_TITLE_CONFIG)
+    setCoverConfig(DEFAULT_COVER_CONFIG)
+    setResolution("1080p")
+    setIsGenerating(false)
+  }, [])
+
+  return {
+    // 面板1
+    selectedVideo,
+    showAssetPicker,
+    setShowAssetPicker,
+    selectVideo,
+    removeVideo,
+    // 面板2
+    voiceSource,
+    setVoiceSource,
+    selectedVoice,
+    setSelectedVoice,
+    emotion,
+    setEmotion,
+    speed,
+    setSpeed,
+    language,
+    setLanguage,
+    // 面板3
+    script,
+    setScript,
+    scriptText,
+    setScriptText,
+    lipsyncJob,
+    setLipsyncJob,
+    showScriptModal,
+    setShowScriptModal,
+    showBRollModal,
+    setShowBRollModal,
+    selectScript,
+    // #1845 TTS 预合成
+    ttsPreview,
+    setTtsPreview,
+    resetTtsPreview: useCallback(() => setTtsPreview(DEFAULT_TTS_PREVIEW), []),
+    // B-roll
+    bRollSegments,
+    addBRollSegment,
+    removeBRollSegment,
+    // 面板4
+    titleConfig,
+    updateTitleConfig,
+    setTitleConfig,
+    // 面板5
+    coverConfig,
+    setCoverConfig,
+    resolution,
+    setResolution,
+    isGenerating,
+    setIsGenerating,
+    // 全局
+    reset,
+  }
+}
+
+export type UseAiAvatarReturn = ReturnType<typeof useAiAvatar>

apps/web/src/pages/ai-avatar/types.ts

@@ -0,0 +1,154 @@
+/**
+ * AI数字人 — TypeScript 类型定义（v3）
+ */
+import type { AssetItem } from "@/api/assets"
+
+/* ── 音色来源切换 ── */
+export type VoiceSource = "preset" | "clone"
+
+/* ── 情绪 ── */
+export type VoiceEmotion = "natural" | "excited" | "calm" | "friendly"
+
+export const VOICE_EMOTION_OPTIONS: { value: VoiceEmotion; label: string }[] = [
+  { value: "natural", label: "自然" },
+  { value: "excited", label: "兴奋" },
+  { value: "calm", label: "沉稳" },
+  { value: "friendly", label: "亲切" },
+]
+
+/* ── 语言 ── */
+export type VoiceLanguage = "mandarin" | "english" | "cantonese"
+
+export const VOICE_LANGUAGE_OPTIONS: { value: VoiceLanguage; label: string }[] = [
+  { value: "mandarin", label: "普通话" },
+  { value: "english", label: "English" },
+  { value: "cantonese", label: "粤语" },
+]
+
+/* ── 对口型任务状态 ── */
+export type LipsyncStatus = "idle" | "pending" | "processing" | "completed" | "failed"
+
+/* ── TTS 预合成（#1845 配音前置：步骤1「生成配音」状态） ── */
+export type TtsPreviewStatus = "idle" | "generating" | "done" | "failed"
+
+export interface TtsPreviewResult {
+  audioUrl: string | null
+  duration: number
+  sentenceTimings: SentenceTiming[]
+  status: TtsPreviewStatus
+  error: string | null
+}
+
+/* ── 文案 ── */
+export interface Script {
+  id: string
+  title: string
+  content: string
+  char_count: number
+  created_at: string
+  updated_at?: string
+}
+
+/* ── 对口型任务 ── */
+export interface LipsyncJob {
+  id: string
+  status: LipsyncStatus
+  progress: number
+  output_video_url: string | null
+  /** 对口型成片总时长（秒），后端返回 */
+  script_text: string
+  output_duration?: number
+  /** 精确句子时间戳（后端基于 TTS 音频静音检测计算） */
+  sentence_timings?: SentenceTiming[] | null
+  error_message: string | null
+  created_at: string
+}
+
+/* ── 句子时间戳（后端精确计算） ── */
+export interface SentenceTiming {
+  index: number
+  text: string
+  start_time: number
+  end_time: number
+}
+
+/* ── B-roll 画面插入 ── */
+export type BRollInsertMode = "fullscreen" | "pip"
+export type PipPosition = "top-left" | "top-right" | "bottom-left" | "bottom-right"
+
+export interface BRollSegment {
+  id: string
+  asset: AssetItem
+  script_segment_index: number
+  start_time: number
+  end_time: number
+  mode: BRollInsertMode
+  pip_position: PipPosition
+  pip_scale: number
+}
+
+/* ── 标题配置 ── */
+export interface AiAvatarTitleConfig {
+  title: string
+  position: string
+  font: string
+  size: number
+  bold: boolean
+  italic: boolean
+  stroke: boolean
+  shadow: boolean
+  color: string
+  auto_subtitle: boolean
+  /** 自定义位置坐标（position=custom 时生效，百分比 0-100） */
+  pos_x?: number
+  pos_y?: number
+}
+
+/* ── 封面配置 ── */
+export interface AiAvatarCoverConfig {
+  enabled: boolean
+  mode: "auto_frame" | "upload"
+  frame_time: number
+  upload_url: string | null
+  thumbnail_url: string | null
+  /** 智能封面（MediaKit 选帧）返回的 OSS 非临时 URL（#1822） */
+  smart_cover_url: string | null
+}
+
+/* ── 渲染任务 ── */
+export type RenderStatus = "pending" | "processing" | "completed" | "failed" | "cancelled"
+
+export interface RenderJob {
+  id: string
+  status: RenderStatus
+  progress: number
+  output_video_url: string | null
+  output_cover_url: string | null
+  error_message: string | null
+  created_at: string
+}
+
+/* ── 默认值 ── */
+export const DEFAULT_TITLE_CONFIG: AiAvatarTitleConfig = {
+  title: "",
+  position: "bottom",
+  font: "思源黑体",
+  size: 48,
+  bold: true,
+  italic: false,
+  stroke: false,
+  shadow: false,
+  color: "#ffffff",
+  auto_subtitle: true,
+  pos_x: undefined,
+  pos_y: undefined,
+}
+
+export const DEFAULT_COVER_CONFIG: AiAvatarCoverConfig = {
+  enabled: true,
+  mode: "auto_frame",
+  frame_time: 0,
+  upload_url: null,
+  thumbnail_url: null,
+  smart_cover_url: null,
+}

apps/web/src/pages/ai-avatar/utils/contract.ts

@@ -0,0 +1,88 @@
+/**
+ * AI数字人 — 前后端接口契约转换工具（#1822）
+ *
+ * 以 packages/domain/video_filter_builder.py 的 build_title_drawtext_filter() 为唯一口径
+ * （契约文档第 5 节的 titles[]/fontSize/frame/start/end 为误写，后端不认，禁止使用）。
+ */
+import type { AiAvatarTitleConfig, AiAvatarCoverConfig, VoiceEmotion } from "../types"
+
+/* ── 情绪：中文 → 英文（防御性映射；state 默认已是英文） ── */
+const EMOTION_ZH_TO_EN: Record<string, VoiceEmotion> = {
+  自然: "natural",
+  兴奋: "excited",
+  沉稳: "calm",
+  亲切: "friendly",
+}
+const VALID_EMOTIONS: VoiceEmotion[] = ["natural", "excited", "calm", "friendly"]
+
+/** 归一化为后端英文枚举 natural/excited/calm/friendly；非法/空值回退 natural。 */
+export function normalizeEmotion(raw: string | undefined | null): VoiceEmotion {
+  if (!raw) return "natural"
+  const v = raw.trim()
+  if ((VALID_EMOTIONS as string[]).includes(v)) return v as VoiceEmotion
+  return EMOTION_ZH_TO_EN[v] ?? "natural"
+}
+
+/* ── 标题：前端 state → 后端 build_title_drawtext_filter 字段（单个 title_config dict） ── */
+/**
+ * 后端真实字段：text(或content)、font(或font_preset)、font_size(或size)、
+ * font_color(或color，可传 #RRGGBB)、position(top/center/bottom/custom)、
+ * enabled、bold、stroke{enabled,width,color}、shadow{enabled,color,offset_x,offset_y}、
+ * pos_x/pos_y(custom 时)、title_image_dataurl（前端 Canvas 渲染的 PNG dataURL，WYSIWYG 路径优先）。
+ * 口播标题默认 position=bottom（不传后端会默认 top 跑到画面顶部）。
+ */
+export function buildTitleConfigPayload(
+  cfg: AiAvatarTitleConfig,
+  titleImageDataUrl?: string | null,
+): Record<string, unknown> {
+  const text = (cfg.title || "").trim()
+  if (!text) return {}
+  const position = cfg.position || "bottom"
+  const payload: Record<string, unknown> = {
+    text,
+    enabled: true,
+    font: cfg.font || "思源黑体",
+    font_size: Math.round(cfg.size) || 48,
+    font_color: cfg.color || "#ffffff",
+    position,
+    bold: !!cfg.bold,
+    stroke: cfg.stroke ? { enabled: true, width: 2, color: "#000000" } : { enabled: false },
+    shadow: cfg.shadow
+      ? { enabled: true, color: "#000000", offset_x: 2, offset_y: 2 }
+      : { enabled: false },
+  }
+  // 自定义坐标（custom 位置）
+  if (position === "custom" && typeof cfg.pos_x === "number" && typeof cfg.pos_y === "number") {
+    payload.pos_x = cfg.pos_x
+    payload.pos_y = cfg.pos_y
+  }
+  // 前端 Canvas 渲染好的 PNG dataURL（所见即所得，后端优先 overlay 此图片图层）
+  if (titleImageDataUrl) {
+    payload.title_image_dataurl = titleImageDataUrl
+  }
+  return payload
+}
+
+/* ── 封面：前端 state → 后端 render cover_config ── */
+export function buildCoverConfigPayload(
+  cfg: AiAvatarCoverConfig,
+  smartCoverUrl: string | null,
+): Record<string, unknown> {
+  const payload: Record<string, unknown> = {
+    enabled: !!cfg.enabled,
+    mode: cfg.mode,
+    // build_cover_extract_command 读取 timestamp（截帧秒数）
+    timestamp: cfg.frame_time || 0,
+  }
+  // 智能封面 URL（后端字段名为 url/imageUrl/cover_url 都兼容，优先 url）
+  if (smartCoverUrl) {
+    payload.url = smartCoverUrl
+    payload.cover_url = smartCoverUrl
+  }
+  // 自定义上传：blob: 本地预览地址无法给后端，仅 OSS URL 可用
+  if (cfg.mode === "upload" && cfg.upload_url && !cfg.upload_url.startsWith("blob:")) {
+    payload.url = cfg.upload_url
+    payload.upload_url = cfg.upload_url
+  }
+  return payload
+}

apps/web/src/pages/ai-avatar/utils/sentences.ts

@@ -0,0 +1,109 @@
+/**
+ * AI数字人 — 文案分句 & B-roll 时间计算
+ *
+ * 数据来源优先级：
+ *   1. 后端 sentence_timings（基于 TTS 音频静音检测，精确到句子边界）—— 直接使用，不重新分句
+ *   2. 后端 output_duration（最终渲染视频时长） + 本地分句 —— 按字数比例估算
+ *   3. 两者都没有（对口型还在生成中）—— 返回分句文本但 startTime/endTime 全部 0，等数据到位重算
+ */
+
+export interface ScriptSentence {
+  /** 句子序号（从 0 开始，对应提交给后端的 script_segment_index） */
+  index: number
+  /** 句子文本（去掉首尾空白） */
+  text: string
+  /** 句子字数（按中文/字符计，去除空白） */
+  charCount: number
+  /** 累计起始字数（用于时间估算） */
+  startChar: number
+  /** 对口型视频内起始时间（秒）——后端精确值或前端估算 */
+  startTime: number
+  /** 对口型视频内结束时间（秒）——后端精确值或前端估算 */
+  endTime: number
+}
+
+/** 句子分隔符：中英文句号/问号/感叹号/分号/逗号/换行（覆盖中文短视频常用断句） */
+const SENTENCE_SPLIT_RE = /[。！？!?？！;；,，\n\r]+/
+
+/**
+ * 分句并计算每句的起止时间。
+ *
+ * @param sentenceTimings 后端返回的精确句子时间戳（来自 lipsync_job.sentence_timings）。
+ *   非空时直接按后端返回的句子列表渲染，不再本地分句（避免前后端分句不一致导致时间错位）。
+ * @param outputDuration  最终视频时长（秒）。对口型预览阶段可能为 0，此时降级估算只能给 0。
+ */
+export function splitScriptIntoSentences(
+  scriptText: string,
+  sentenceTimings?:
+    { index?: number; text?: string; start_time: number; end_time: number }[] | null,
+  outputDuration: number = 0,
+): ScriptSentence[] {
+  const text = (scriptText || "").trim()
+  if (!text) return []
+
+  // 1. 后端返回了 sentence_timings：校验通过就直接用，跳过本地分句
+  //    校验条件放宽：只要是数组、至少1条、每条 start_time/end_time 是数字即可
+  //    （不再强制要求条数相等——后端静音检测可能按停顿切出更多/更少边界，
+  //    比如文案用逗号连写时本地只分1句、后端按停顿切4句，后端的切法才是对的）
+  if (Array.isArray(sentenceTimings) && sentenceTimings.length > 0) {
+    const valid = sentenceTimings.every(
+      (t) =>
+        t &&
+        typeof t.start_time === "number" &&
+        typeof t.end_time === "number" &&
+        isFinite(t.start_time) &&
+        isFinite(t.end_time) &&
+        t.end_time >= t.start_time,
+    )
+    if (valid) {
+      let accChar = 0
+      return sentenceTimings.map((t, i) => {
+        const sentenceText = (t.text || "").trim() || `句子${i + 1}`
+        const charCount = sentenceText.replace(/\s/g, "").length
+        const sentence: ScriptSentence = {
+          index: typeof t.index === "number" ? t.index : i,
+          text: sentenceText,
+          charCount,
+          startChar: accChar,
+          startTime: round1(t.start_time),
+          endTime: round1(t.end_time),
+        }
+        accChar += charCount
+        return sentence
+      })
+    }
+  }
+
+  // 2. 本地分句 + 按字数比例估算（降级路径）
+  const rawParts = text
+    .split(SENTENCE_SPLIT_RE)
+    .map((part) => part.trim())
+    .filter((part) => part.length > 0)
+
+  const totalChars = rawParts.reduce((sum, part) => sum + part.replace(/\s/g, "").length, 0)
+  const duration = outputDuration > 0 ? outputDuration : 0
+
+  const sentences: ScriptSentence[] = []
+  let accChar = 0
+  rawParts.forEach((part, i) => {
+    const charCount = part.replace(/\s/g, "").length
+    const startTime = duration > 0 && totalChars > 0 ? (accChar / totalChars) * duration : 0
+    const endTime =
+      duration > 0 && totalChars > 0 ? ((accChar + charCount) / totalChars) * duration : 0
+    sentences.push({
+      index: i,
+      text: part,
+      charCount,
+      startChar: accChar,
+      startTime: round1(startTime),
+      endTime: round1(endTime),
+    })
+    accChar += charCount
+  })
+
+  return sentences
+}
+
+function round1(n: number): number {
+  return Math.round(n * 10) / 10
+}

apps/web/src/pages/ai-avatar/utils/titleCanvas.ts

@@ -0,0 +1,179 @@
+/**
+ * AI数字人 — 标题 Canvas 渲染工具
+ *
+ * 把标题按前端预览的 HTML/CSS 效果画到透明背景 PNG 上（与视频同分辨率），
+ * 以 dataURL 形式传给后端，后端用 FFmpeg overlay 直接叠加图层，
+ * 彻底解决前端 HTML/CSS 预览 ≠ FFmpeg drawtext 成片的 WYSIWYG 问题。
+ *
+ * 约定：titleConfig.size 的语义是"720p 基准宽度下的字号（px）"，
+ *       按 videoWidth / 720 得到 scale，所有长度类参数乘以 scale，
+ *       保证 1080p / 4K 成片里标题视觉大小与预览一致。
+ */
+import type { AiAvatarTitleConfig } from "../types"
+
+export interface RenderTitlePngOptions {
+  /** 标题配置 */
+  titleConfig: AiAvatarTitleConfig
+  /** 视频宽度（像素），默认 720 */
+  videoWidth?: number
+  /** 视频高度（像素），默认 1280 */
+  videoHeight?: number
+}
+
+/**
+ * 将标题渲染为透明背景 PNG 的 dataURL（data:image/png;base64,...）
+ * Canvas 尺寸与视频一致，保证叠加时 1:1 像素对齐。
+ *
+ * 标题为空时返回 null。
+ */
+export function renderTitleToPngDataUrl(opts: RenderTitlePngOptions): string | null {
+  const { titleConfig, videoWidth = 720, videoHeight = 1280 } = opts
+  if (!titleConfig) return null
+  const rawTitle = (titleConfig.title || "").trim()
+  if (!rawTitle) return null
+
+  // 按 / 或 ／ 分割为多行
+  const lines = rawTitle
+    .split(/[/／]/)
+    .map((l) => l.trim())
+    .filter((l) => l.length > 0)
+  if (lines.length === 0) return null
+
+  // 分辨率缩放系数：基准 720p，所有长度类参数乘以 scale
+  const scale = videoWidth / 720
+  const r = (v: number) => Math.round(v * scale)
+
+  const canvas = document.createElement("canvas")
+  canvas.width = videoWidth
+  canvas.height = videoHeight
+  const ctx = canvas.getContext("2d")
+  if (!ctx) return null
+
+  const baseSize = Math.max(12, Math.round(titleConfig.size || 48))
+  const size = r(baseSize)
+  const bold = !!titleConfig.bold
+  const italic = !!titleConfig.italic
+  const color = titleConfig.color || "#ffffff"
+  const stroke = !!titleConfig.stroke
+  const shadow = !!titleConfig.shadow
+
+  // 字体族 fallback 链：优先中文字体
+  const fontFamily =
+    '"Noto Sans CJK SC","Source Han Sans CN","PingFang SC","Microsoft YaHei",sans-serif'
+  const fontParts: string[] = []
+  if (italic) fontParts.push("italic")
+  if (bold) fontParts.push("bold")
+  fontParts.push(`${size}px`, fontFamily)
+  ctx.font = fontParts.join(" ")
+  ctx.fillStyle = color
+  ctx.textAlign = "center"
+  ctx.textBaseline = "middle"
+
+  // 阴影（shadow=true 时开启）——按 scale 缩放
+  if (shadow) {
+    ctx.shadowColor = "rgba(0,0,0,0.8)"
+    ctx.shadowBlur = r(4)
+    ctx.shadowOffsetX = 0
+    ctx.shadowOffsetY = r(2)
+  }
+
+  // 位置计算：与 PanelLipsyncPreview 的 CSS 对齐（按 scale 缩放 PAD）
+  const PAD = r(16)
+  let centerX = videoWidth / 2
+  const position = titleConfig.position || "bottom"
+  const lineGap = size * 1.2
+  const totalTextH = lines.length * lineGap - (lineGap - size) // 所有行的总高度
+  // 文本块顶部 y（textBaseline=middle 时首行基线）
+  let firstLineY: number
+  if (
+    position === "custom" &&
+    typeof titleConfig.pos_x === "number" &&
+    typeof titleConfig.pos_y === "number"
+  ) {
+    centerX = (Math.max(0, Math.min(100, titleConfig.pos_x)) / 100) * videoWidth
+    const centerY = (Math.max(0, Math.min(100, titleConfig.pos_y)) / 100) * videoHeight
+    firstLineY = centerY - totalTextH / 2 + size / 2
+  } else if (position === "top") {
+    // 顶部：y = size/2 + PAD
+    firstLineY = size / 2 + PAD
+  } else if (position === "center") {
+    firstLineY = videoHeight / 2 - totalTextH / 2 + size / 2
+  } else {
+    // bottom（默认）
+    firstLineY = videoHeight - totalTextH - PAD + size / 2
+  }
+
+  // 描边参数：描边 lineWidth 按 scale 缩放（基准 size * 0.06，最小 2px @720p）
+  const doStroke = stroke
+  const strokeWidth = Math.max(r(2), Math.round(size * 0.06))
+  // 逐行绘制
+  lines.forEach((line, idx) => {
+    const y = firstLineY + idx * lineGap
+    if (doStroke) {
+      const prevShadowColor = ctx.shadowColor
+      const prevShadowBlur = ctx.shadowBlur
+      // 描边不要带阴影（避免黑色描边发虚）
+      ctx.shadowColor = "rgba(0,0,0,0)"
+      ctx.shadowBlur = 0
+      ctx.lineWidth = strokeWidth
+      ctx.strokeStyle = "#000000"
+      ctx.lineJoin = "round"
+      ctx.strokeText(line, centerX, y)
+      // 恢复阴影
+      if (shadow) {
+        ctx.shadowColor = "rgba(0,0,0,0.8)"
+        ctx.shadowBlur = r(4)
+      } else {
+        ctx.shadowColor = prevShadowColor
+        ctx.shadowBlur = prevShadowBlur
+      }
+    }
+    ctx.fillText(line, centerX, y)
+  })
+
+  try {
+    return canvas.toDataURL("image/png")
+  } catch {
+    return null
+  }
+}
+
+/**
+ * 获取视频真实分辨率（HTMLVideoElement + loadedmetadata，超时 3 秒兜底 720×1280）。
+ */
+export function getVideoResolution(
+  videoUrl: string,
+  timeoutMs = 3000,
+): Promise<{ width: number; height: number }> {
+  return new Promise((resolve) => {
+    if (!videoUrl) {
+      resolve({ width: 720, height: 1280 })
+      return
+    }
+    const video = document.createElement("video")
+    video.preload = "metadata"
+    video.muted = true
+    video.playsInline = true
+    video.crossOrigin = "anonymous"
+    let settled = false
+    const done = (w: number, h: number) => {
+      if (settled) return
+      settled = true
+      video.removeAttribute("src")
+      video.load()
+      resolve({ width: w, height: h })
+    }
+    const timer = window.setTimeout(() => done(720, 1280), timeoutMs)
+    video.onloadedmetadata = () => {
+      window.clearTimeout(timer)
+      const w = video.videoWidth || 720
+      const h = video.videoHeight || 1280
+      done(w, h)
+    }
+    video.onerror = () => {
+      window.clearTimeout(timer)
+      done(720, 1280)
+    }
+    video.src = videoUrl
+  })
+}

apps/web/src/pages/assets/hooks/asset-operations/batch/index.ts

@@ -1,4 +0,0 @@
-export { useBatchDelete } from "./useBatchDelete"
-export { useBatchTag } from "./useBatchTag"
-export { useBatchClassify } from "./useBatchClassify"
-export { useBatchMark } from "./useBatchMark"

apps/web/src/pages/assets/hooks/asset-operations/batch/useBatchClassify.ts

@@ -1,58 +0,0 @@
-import { useState, useCallback } from "react"
-import { message } from "antd"
-import { batchClassifyAssets, type BatchOperationResult } from "@/api/assets"
-
-interface UseBatchClassifyOptions {
-  selectedIds: Set<string>
-  queryClient: ReturnType<typeof import("@tanstack/react-query").useQueryClient>
-  showResult: (result: BatchOperationResult, title: string, clear?: boolean) => void
-}
-
-export const useBatchClassify = ({
-  selectedIds,
-  queryClient,
-  showResult,
-}: UseBatchClassifyOptions) => {
-  const [classifyModalOpen, setClassifyModalOpen] = useState(false)
-  const [batchCategory, setBatchCategory] = useState("")
-  const [batchLoading, setBatchLoading] = useState(false)
-
-  const handleBatchClassify = useCallback(async () => {
-    if (!batchCategory) {
-      message.warning("请选择分类")
-      return
-    }
-    const ids = Array.from(selectedIds)
-    setBatchLoading(true)
-    try {
-      const result = await batchClassifyAssets({
-        asset_ids: ids,
-        category: batchCategory,
-      })
-      queryClient.invalidateQueries({ queryKey: ["assets"] })
-      showResult(result, "批量改分类")
-      setClassifyModalOpen(false)
-      setBatchCategory("")
-      if (result.failure_count === 0) {
-        message.success(`成功将 ${result.success_count} 个素材改为「${batchCategory}」`)
-      } else {
-        message.warning(
-          `改分类完成：成功 ${result.success_count} 个，失败 ${result.failure_count} 个`,
-        )
-      }
-    } catch {
-      message.error("批量改分类失败，请重试")
-    } finally {
-      setBatchLoading(false)
-    }
-  }, [batchCategory, selectedIds, queryClient, showResult])
-
-  return {
-    classifyModalOpen,
-    setClassifyModalOpen,
-    batchCategory,
-    setBatchCategory,
-    batchLoading,
-    handleBatchClassify,
-  }
-}

apps/web/src/pages/assets/hooks/asset-operations/batch/useBatchDelete.ts

@@ -1,40 +0,0 @@
-import { useState, useCallback } from "react"
-import { message } from "antd"
-import { batchDeleteAssets, type BatchOperationResult } from "@/api/assets"
-
-interface UseBatchDeleteOptions {
-  selectedIds: Set<string>
-  invalidateAssets: () => void
-  showResult: (result: BatchOperationResult, title: string, clear?: boolean) => void
-}
-
-export const useBatchDelete = ({
-  selectedIds,
-  invalidateAssets,
-  showResult,
-}: UseBatchDeleteOptions) => {
-  const [batchLoading, setBatchLoading] = useState(false)
-
-  const handleBatchDelete = useCallback(async () => {
-    const ids = Array.from(selectedIds)
-    setBatchLoading(true)
-    try {
-      const result = await batchDeleteAssets(ids)
-      invalidateAssets()
-      showResult(result, "批量删除")
-      if (result.failure_count === 0) {
-        message.success(`成功删除 ${result.success_count} 个素材`)
-      } else {
-        message.warning(
-          `删除完成：成功 ${result.success_count} 个，失败 ${result.failure_count} 个`,
-        )
-      }
-    } catch {
-      message.error("批量删除失败，请重试")
-    } finally {
-      setBatchLoading(false)
-    }
-  }, [selectedIds, invalidateAssets, showResult])
-
-  return { batchLoading, handleBatchDelete }
-}

apps/web/src/pages/assets/hooks/asset-operations/batch/useBatchMark.ts

@@ -1,53 +0,0 @@
-import { useState, useCallback } from "react"
-import { message } from "antd"
-import { batchMarkAssets, type BatchOperationResult } from "@/api/assets"
-import type { SmartViewType } from "../../../components/BatchMarkModal"
-import { SMART_VIEW_LABELS } from "../constants"
-
-interface UseBatchMarkOptions {
-  selectedIds: Set<string>
-  queryClient: ReturnType<typeof import("@tanstack/react-query").useQueryClient>
-  showResult: (result: BatchOperationResult, title: string, clear?: boolean) => void
-}
-
-export const useBatchMark = ({ selectedIds, queryClient, showResult }: UseBatchMarkOptions) => {
-  const [markModalOpen, setMarkModalOpen] = useState(false)
-  const [batchSmartView, setBatchSmartView] = useState<SmartViewType>("recommended")
-  const [batchLoading, setBatchLoading] = useState(false)
-
-  const handleBatchMark = useCallback(async () => {
-    const ids = Array.from(selectedIds)
-    setBatchLoading(true)
-    try {
-      const result = await batchMarkAssets({
-        asset_ids: ids,
-        smart_view: batchSmartView,
-      })
-      queryClient.invalidateQueries({ queryKey: ["assets"] })
-      showResult(result, "批量智能标记")
-      setMarkModalOpen(false)
-      if (result.failure_count === 0) {
-        message.success(
-          `成功将 ${result.success_count} 个素材标记为「${SMART_VIEW_LABELS[batchSmartView]}」`,
-        )
-      } else {
-        message.warning(
-          `智能标记完成：成功 ${result.success_count} 个，失败 ${result.failure_count} 个`,
-        )
-      }
-    } catch {
-      message.error("批量智能标记失败，请重试")
-    } finally {
-      setBatchLoading(false)
-    }
-  }, [batchSmartView, selectedIds, queryClient, showResult])
-
-  return {
-    markModalOpen,
-    setMarkModalOpen,
-    batchSmartView,
-    setBatchSmartView,
-    batchLoading,
-    handleBatchMark,
-  }
-}

apps/web/src/pages/assets/hooks/asset-operations/batch/useBatchTag.ts

@@ -1,86 +0,0 @@
-import { useState, useCallback } from "react"
-import { message } from "antd"
-import { batchTagAssets, type BatchOperationResult } from "@/api/assets"
-
-interface UseBatchTagOptions {
-  selectedIds: Set<string>
-  queryClient: ReturnType<typeof import("@tanstack/react-query").useQueryClient>
-  showResult: (result: BatchOperationResult, title: string, clear?: boolean) => void
-}
-
-export const useBatchTag = ({ selectedIds, queryClient, showResult }: UseBatchTagOptions) => {
-  const [tagModalOpen, setTagModalOpen] = useState(false)
-  const [batchTagInput, setBatchTagInput] = useState("")
-  const [batchTags, setBatchTags] = useState<string[]>([])
-  const [tagMode, setTagMode] = useState<"add" | "replace">("add")
-  const [batchLoading, setBatchLoading] = useState(false)
-
-  const handleBatchTag = useCallback(async () => {
-    if (batchTags.length === 0) {
-      message.warning("请至少输入一个标签")
-      return
-    }
-    const ids = Array.from(selectedIds)
-    setBatchLoading(true)
-    try {
-      const result = await batchTagAssets({
-        asset_ids: ids,
-        tags: batchTags,
-        mode: tagMode,
-      })
-      queryClient.invalidateQueries({ queryKey: ["assets"] })
-      showResult(result, "批量打标签")
-      setTagModalOpen(false)
-      setBatchTags([])
-      setBatchTagInput("")
-      setTagMode("add")
-      if (result.failure_count === 0) {
-        message.success(`成功为 ${result.success_count} 个素材打标签`)
-      } else {
-        message.warning(
-          `打标签完成：成功 ${result.success_count} 个，失败 ${result.failure_count} 个`,
-        )
-      }
-    } catch {
-      message.error("批量打标签失败，请重试")
-    } finally {
-      setBatchLoading(false)
-    }
-  }, [batchTags, selectedIds, tagMode, queryClient, showResult])
-
-  const handleTagInputKeyDown = useCallback(
-    (e: React.KeyboardEvent) => {
-      if (e.key === "Enter" && batchTagInput.trim()) {
-        e.preventDefault()
-        const tag = batchTagInput.trim()
-        if (!batchTags.includes(tag)) {
-          setBatchTags([...batchTags, tag])
-        }
-        setBatchTagInput("")
-      }
-    },
-    [batchTagInput, batchTags],
-  )
-
-  const removeBatchTag = useCallback(
-    (tag: string) => {
-      setBatchTags(batchTags.filter((t) => t !== tag))
-    },
-    [batchTags],
-  )
-
-  return {
-    tagModalOpen,
-    setTagModalOpen,
-    batchTagInput,
-    setBatchTagInput,
-    batchTags,
-    setBatchTags,
-    tagMode,
-    setTagMode,
-    batchLoading,
-    handleBatchTag,
-    handleTagInputKeyDown,
-    removeBatchTag,
-  }
-}

apps/web/src/pages/assets/hooks/asset-operations/batchOperations.ts

@@ -1,8 +0,0 @@
-/**
- * @deprecated 请从 ./batch/ 目录导入子模块
- * 保持向后兼容，re-export 所有批量操作 Hook
- */
-export { useBatchDelete } from "./batch/useBatchDelete"
-export { useBatchTag } from "./batch/useBatchTag"
-export { useBatchClassify } from "./batch/useBatchClassify"
-export { useBatchMark } from "./batch/useBatchMark"

apps/web/src/pages/duplication/duplication.css

@@ -10,7 +10,7 @@
    ============================================================ */
 .dup-page {
   padding: var(--space-2xl) var(--space-lg);
-  max-width: 1100px;
+  max-width: 1400px;
   margin: 0 auto;
 }
 

apps/web/src/pages/editing-planner/EditingPlanner.css

@@ -6440,3 +6440,49 @@
   opacity: 0.6;
   cursor: not-allowed;
 }
+
+/* ═══ 标题设置 — 颜色预设 ═══ */
+.ep-color-presets {
+  display: flex;
+  align-items: center;
+  gap: 6px;
+  flex-wrap: wrap;
+}
+
+.ep-color-swatch {
+  width: 24px;
+  height: 24px;
+  border-radius: 4px;
+  border: 2px solid transparent;
+  cursor: pointer;
+  transition:
+    border-color 0.15s,
+    transform 0.1s;
+}
+
+.ep-color-swatch:hover {
+  transform: scale(1.1);
+}
+
+.ep-color-swatch.active {
+  border-color: var(--ep-primary, #4f8cff);
+}
+
+.ep-color-picker {
+  width: 28px;
+  height: 28px;
+  border: none;
+  border-radius: 4px;
+  cursor: pointer;
+  padding: 0;
+  background: none;
+}
+
+.ep-color-picker::-webkit-color-swatch-wrapper {
+  padding: 0;
+}
+
+.ep-color-picker::-webkit-color-swatch {
+  border: 1px solid rgba(255, 255, 255, 0.2);
+  border-radius: 4px;
+}

apps/web/src/pages/editing-planner/EditingPlanner.tsx

@@ -196,6 +196,8 @@ const EditingPlanner: React.FC = () => {
 
         {/* 右栏 260px：设置面板 */}
         <RightPanel
+          titleConfig={titleConfig}
+          onTitleConfigChange={setTitleConfig}
           rightTab={rightTab}
           onTabChange={setRightTab}
           selectedClip={clipOps.selectedClip}

apps/web/src/pages/editing-planner/components/ClipPropertiesPanel.tsx

@@ -5,12 +5,15 @@
 import React from "react"
 import type { ClipPropertiesPanelProps } from "@/pages/editing-planner/types/clipProperties"
 import SubtitleSettingsSection from "./clip-properties/SubtitleSettingsSection"
+import TitleSettingsSection from "./clip-properties/TitleSettingsSection"
 import BgmSettingsSection from "./clip-properties/BgmSettingsSection"
 import ClipDetailSection from "./clip-properties/ClipDetailSection"
 import StatsSection from "./clip-properties/StatsSection"
 import { useVoicePreview } from "@/pages/editing-planner/hooks/useVoicePreview"
 
 const ClipPropertiesPanel: React.FC<ClipPropertiesPanelProps> = ({
+  titleConfig,
+  onTitleConfigChange,
   selectedClip,
   subtitleSettings,
   bgmSettings,
@@ -40,6 +43,11 @@ const ClipPropertiesPanel: React.FC<ClipPropertiesPanelProps> = ({
 
   return (
     <div className="ep-right-panel">
+      {/* ═══ 标题设置 — #1789 ═══ */}
+      {titleConfig && onTitleConfigChange && (
+        <TitleSettingsSection config={titleConfig} onChange={onTitleConfigChange} />
+      )}
+
       {/* ═══ 字幕设置 ═══ */}
       <SubtitleSettingsSection
         settings={subtitleSettings}

apps/web/src/pages/editing-planner/components/RightPanel.tsx

@@ -5,9 +5,12 @@ import type { ClipData } from "../types"
 import type { SubtitleStyleConfig } from "../types/subtitle"
 import type { BgmMixConfig } from "@/api/bgm"
 import type { TemplateMode } from "@/api/editing-planner"
+import type { TitleConfig } from "@/api/template-editor"
 import type { AssetItem } from "@/api/assets"
 
 interface RightPanelProps {
+  titleConfig?: TitleConfig
+  onTitleConfigChange?: (config: TitleConfig | ((prev: TitleConfig) => TitleConfig)) => void
   rightTab: "properties" | "clips"
   onTabChange: (tab: "properties" | "clips") => void
   // 属性 tab
@@ -46,6 +49,8 @@ interface RightPanelProps {
 }
 
 const RightPanel: React.FC<RightPanelProps> = ({
+  titleConfig,
+  onTitleConfigChange,
   rightTab,
   onTabChange,
   selectedClip,
@@ -118,6 +123,8 @@ const RightPanel: React.FC<RightPanelProps> = ({
             >["onBgmSettingsChange"]
             return (
               <ClipPropertiesPanel
+                titleConfig={titleConfig}
+                onTitleConfigChange={onTitleConfigChange}
                 selectedClip={selectedClip}
                 subtitleSettings={sub}
                 bgmSettings={bgm}

apps/web/src/pages/editing-planner/components/clip-properties/TitleSettingsSection.tsx

@@ -0,0 +1,136 @@
+/**
+ * 标题设置区块 — #1789
+ * 提供字号滑块、字体预设、位置、颜色等控制入口
+ */
+import React from "react"
+import type { TitleConfig } from "@/api/template-editor"
+import { POSITION_OPTIONS, FONT_OPTIONS } from "@/pages/editing-planner/constants/clipProperties"
+
+interface TitleSettingsSectionProps {
+  config: TitleConfig
+  onChange: (config: TitleConfig | ((prev: TitleConfig) => TitleConfig)) => void
+}
+
+const TITLE_COLOR_PRESETS = [
+  "#ffffff",
+  "#000000",
+  "#ff4444",
+  "#ffaa00",
+  "#44ff44",
+  "#4488ff",
+  "#ff44ff",
+  "#ffff44",
+]
+
+const TitleSettingsSection: React.FC<TitleSettingsSectionProps> = ({ config, onChange }) => {
+  const update = (partial: Partial<TitleConfig>) => {
+    onChange((prev: TitleConfig) => ({ ...prev, ...partial }))
+  }
+
+  return (
+    <div className="ep-settings-section">
+      <div className="ep-section-title">
+        <span className="ep-section-icon">📝</span>
+        标题设置
+      </div>
+
+      {/* AI 自动选择开关 */}
+      <div className="ep-toggle-row">
+        <span className="ep-toggle-label">AI 自动选择</span>
+        <div
+          className={`ep-toggle ${config.ai_auto_select ? "active" : ""}`}
+          onClick={() => update({ ai_auto_select: !config.ai_auto_select })}
+        >
+          <div className="ep-toggle-knob" />
+        </div>
+      </div>
+
+      {!config.ai_auto_select && (
+        <>
+          {/* 标题文本 */}
+          <div className="ep-field">
+            <label className="ep-field-label">标题文本</label>
+            <input
+              className="ep-form-select"
+              type="text"
+              placeholder="输入标题内容"
+              value={config.content}
+              onChange={(e) => update({ content: e.target.value })}
+            />
+          </div>
+
+          {/* 位置 */}
+          <div className="ep-field">
+            <label className="ep-field-label">位置</label>
+            <select
+              className="ep-form-select"
+              value={config.position}
+              onChange={(e) => update({ position: e.target.value })}
+            >
+              {POSITION_OPTIONS.map((opt) => (
+                <option key={opt.value} value={opt.value}>
+                  {opt.label}
+                </option>
+              ))}
+            </select>
+          </div>
+
+          {/* 字体预设 */}
+          <div className="ep-field">
+            <label className="ep-field-label">字体</label>
+            <select
+              className="ep-form-select"
+              value={config.font_preset}
+              onChange={(e) => update({ font_preset: e.target.value })}
+            >
+              {FONT_OPTIONS.map((f) => (
+                <option key={f} value={f}>
+                  {f}
+                </option>
+              ))}
+            </select>
+          </div>
+
+          {/* 字号滑块 */}
+          <div className="ep-field">
+            <label className="ep-field-label">字号</label>
+            <div className="ep-slider-row">
+              <input
+                className="ep-slider"
+                type="range"
+                min={12}
+                max={72}
+                value={config.font_size}
+                onChange={(e) => update({ font_size: Number(e.target.value) })}
+              />
+              <span className="ep-slider-value">{config.font_size}px</span>
+            </div>
+          </div>
+
+          {/* 颜色 */}
+          <div className="ep-field">
+            <label className="ep-field-label">颜色</label>
+            <div className="ep-color-presets">
+              {TITLE_COLOR_PRESETS.map((color) => (
+                <div
+                  key={color}
+                  className={`ep-color-swatch${config.font_color === color ? " active" : ""}`}
+                  style={{ backgroundColor: color }}
+                  onClick={() => update({ font_color: color })}
+                />
+              ))}
+              <input
+                type="color"
+                className="ep-color-picker"
+                value={config.font_color}
+                onChange={(e) => update({ font_color: e.target.value })}
+              />
+            </div>
+          </div>
+        </>
+      )}
+    </div>
+  )
+}
+
+export default TitleSettingsSection

apps/web/src/pages/editing-planner/components/pip-config/LayerConfig.tsx

@@ -1,5 +0,0 @@
-/**
- * LayerConfig 入口（向后兼容）
- * 实际实现位于 ./layer-config/ 目录
- */
-export { default } from "./layer-config"

apps/web/src/pages/editing-planner/components/pip-config/LayerList.tsx

@@ -1,65 +0,0 @@
-/**
- * 混剪图层列表
- */
-import React from "react"
-import type { PipLayer } from "@/pages/editing-planner/types"
-import { LAYER_COLORS } from "@/pages/editing-planner/constants/pipConfig"
-
-interface LayerListProps {
-  layers: PipLayer[]
-  selectedId: string
-  onSelect: (id: string) => void
-  onAdd: () => void
-  onDelete: (id: string) => void
-}
-
-const LayerList: React.FC<LayerListProps> = ({ layers, selectedId, onSelect, onAdd, onDelete }) => {
-  return (
-    <div className="pip-layer-list">
-      <div className="pip-toolbar" style={{ marginBottom: 8 }}>
-        <button className="pip-add-btn" onClick={onAdd}>
-          + 添加图层
-        </button>
-      </div>
-      {layers.length === 0 ? (
-        <div className="pip-layer-empty">暂无图层，点击上方添加</div>
-      ) : (
-        layers.map((layer, idx) => (
-          <div
-            key={layer.id}
-            className={`pip-layer-item${selectedId === layer.id ? " active" : ""}`}
-            onClick={() => onSelect(layer.id)}
-          >
-            {layer.thumbnail_url || layer.material_url ? (
-              <img
-                className="pip-layer-thumb"
-                src={layer.thumbnail_url || layer.material_url}
-                alt={layer.name}
-              />
-            ) : (
-              <div
-                className="pip-layer-thumb"
-                style={{
-                  background: LAYER_COLORS[idx % LAYER_COLORS.length],
-                }}
-              />
-            )}
-            <span className="pip-layer-name">{layer.name}</span>
-            <button
-              className="pip-layer-delete"
-              onClick={(e) => {
-                e.stopPropagation()
-                onDelete(layer.id)
-              }}
-              title="删除图层"
-            >
-              ✕
-            </button>
-          </div>
-        ))
-      )}
-    </div>
-  )
-}
-
-export default LayerList

apps/web/src/pages/editing-planner/components/pip-config/layer-config/LayerPositionSize.tsx

@@ -1,172 +0,0 @@
-import React from "react"
-import type { PipLayer, PipGridPosition } from "@/pages/editing-planner/types"
-import { GRID_POSITIONS } from "@/pages/editing-planner/constants/pipConfig"
-
-interface LayerPositionSizeProps {
-  layer: PipLayer
-  onUpdate: (id: string, partial: Partial<PipLayer>) => void
-  onGridClick: (pos: PipGridPosition) => void
-  onWidthChange: (val: number) => void
-  onHeightChange: (val: number) => void
-}
-
-/**
- * 图层位置与尺寸配置面板
- */
-export const LayerPositionSize: React.FC<LayerPositionSizeProps> = ({
-  layer,
-  onUpdate,
-  onGridClick,
-  onWidthChange,
-  onHeightChange,
-}) => (
-  <>
-    {/* 素材类型 */}
-    <div className="pip-field">
-      <label className="pip-field-label">素材类型</label>
-      <div className="pip-type-btns">
-        <button
-          className={`pip-type-btn${layer.material_type === "image" ? " active" : ""}`}
-          onClick={() => onUpdate(layer.id, { material_type: "image" })}
-        >
-          🖼️ 图片
-        </button>
-        <button
-          className={`pip-type-btn${layer.material_type === "video" ? " active" : ""}`}
-          onClick={() => onUpdate(layer.id, { material_type: "video" })}
-        >
-          🎬 视频
-        </button>
-      </div>
-    </div>
-
-    {/* 素材 URL */}
-    <div className="pip-field">
-      <label className="pip-field-label">
-        {layer.material_type === "image" ? "图片" : "视频"} URL
-      </label>
-      <input
-        className="pip-input"
-        type="text"
-        placeholder={
-          layer.material_type === "image"
-            ? "https://example.com/image.png"
-            : "https://example.com/video.mp4"
-        }
-        value={layer.material_url}
-        onChange={(e) => onUpdate(layer.id, { material_url: e.target.value })}
-      />
-    </div>
-
-    {/* 位置：九宫格 + 坐标 */}
-    <div className="pip-field">
-      <label className="pip-field-label">位置</label>
-      <div style={{ display: "flex", gap: 16, alignItems: "flex-start" }}>
-        <div className="pip-grid">
-          {GRID_POSITIONS.map((pos) => (
-            <button
-              key={pos}
-              className={`pip-grid-btn${layer.grid_position === pos ? " active" : ""}`}
-              onClick={() => onGridClick(pos)}
-            >
-              <span className="pip-grid-dot" />
-            </button>
-          ))}
-        </div>
-        <div className="pip-field-row" style={{ flex: 1 }}>
-          <div>
-            <label className="pip-field-label">X (%)</label>
-            <input
-              className="pip-number"
-              type="number"
-              min={0}
-              max={100}
-              value={layer.x}
-              onChange={(e) => onUpdate(layer.id, { x: Number(e.target.value) })}
-            />
-          </div>
-          <div>
-            <label className="pip-field-label">Y (%)</label>
-            <input
-              className="pip-number"
-              type="number"
-              min={0}
-              max={100}
-              value={layer.y}
-              onChange={(e) => onUpdate(layer.id, { y: Number(e.target.value) })}
-            />
-          </div>
-        </div>
-      </div>
-    </div>
-
-    {/* 尺寸 */}
-    <div className="pip-field">
-      <label className="pip-field-label">尺寸</label>
-      <div className="pip-slider-row">
-        <span style={{ fontSize: 12, color: "#999", width: 20 }}>宽</span>
-        <input
-          className="pip-slider"
-          type="range"
-          min={10}
-          max={80}
-          value={layer.width}
-          onChange={(e) => onWidthChange(Number(e.target.value))}
-        />
-        <span className="pip-slider-value">{layer.width}%</span>
-      </div>
-      <div className="pip-slider-row" style={{ marginTop: 6 }}>
-        <span style={{ fontSize: 12, color: "#999", width: 20 }}>高</span>
-        <input
-          className="pip-slider"
-          type="range"
-          min={10}
-          max={80}
-          value={layer.height}
-          onChange={(e) => onHeightChange(Number(e.target.value))}
-        />
-        <span className="pip-slider-value">{layer.height}%</span>
-      </div>
-      <div
-        className="pip-lock-row"
-        style={{ marginTop: 6 }}
-        onClick={() => onUpdate(layer.id, { aspect_lock: !layer.aspect_lock })}
-      >
-        <span className="pip-lock-icon">{layer.aspect_lock ? "🔒" : "🔓"}</span>
-        <span>{layer.aspect_lock ? "已锁定比例" : "锁定宽高比"}</span>
-      </div>
-    </div>
-
-    {/* 圆角 */}
-    <div className="pip-field">
-      <label className="pip-field-label">圆角</label>
-      <div className="pip-slider-row">
-        <input
-          className="pip-slider"
-          type="range"
-          min={0}
-          max={50}
-          value={layer.border_radius}
-          onChange={(e) => onUpdate(layer.id, { border_radius: Number(e.target.value) })}
-        />
-        <span className="pip-slider-value">{layer.border_radius}%</span>
-      </div>
-    </div>
-
-    {/* 透明度 */}
-    <div className="pip-field">
-      <label className="pip-field-label">透明度</label>
-      <div className="pip-slider-row">
-        <input
-          className="pip-slider"
-          type="range"
-          min={0}
-          max={100}
-          value={layer.opacity}
-          onChange={(e) => onUpdate(layer.id, { opacity: Number(e.target.value) })}
-        />
-        <span className="pip-slider-value">{layer.opacity}%</span>
-      </div>
-    </div>
-  </>
-)

apps/web/src/pages/editing-planner/components/pip-config/layer-config/LayerTimingAnimation.tsx

@@ -1,87 +0,0 @@
-import React from "react"
-import type { PipLayer, PipAnimType, PipSlideDirection } from "@/pages/editing-planner/types"
-import { ANIM_OPTIONS, SLIDE_DIR_OPTIONS } from "@/pages/editing-planner/constants/pipConfig"
-
-interface LayerTimingAnimationProps {
-  layer: PipLayer
-  totalDuration: number
-  onUpdate: (id: string, partial: Partial<PipLayer>) => void
-}
-
-/**
- * 图层时间与动画配置面板
- */
-export const LayerTimingAnimation: React.FC<LayerTimingAnimationProps> = ({
-  layer,
-  totalDuration,
-  onUpdate,
-}) => (
-  <>
-    {/* 时间 */}
-    <div className="pip-field">
-      <label className="pip-field-label">时间</label>
-      <div className="pip-field-row">
-        <div>
-          <label className="pip-field-label">开始 (s)</label>
-          <input
-            className="pip-number"
-            type="number"
-            min={0}
-            max={totalDuration || 999}
-            step={0.1}
-            value={layer.start_time}
-            onChange={(e) => onUpdate(layer.id, { start_time: Number(e.target.value) })}
-          />
-        </div>
-        <div>
-          <label className="pip-field-label">持续 (s)</label>
-          <input
-            className="pip-number"
-            type="number"
-            min={0.1}
-            max={totalDuration || 999}
-            step={0.1}
-            value={layer.duration}
-            onChange={(e) => onUpdate(layer.id, { duration: Number(e.target.value) })}
-          />
-        </div>
-      </div>
-    </div>
-
-    {/* 入场动画 */}
-    <div className="pip-field">
-      <label className="pip-field-label">入场动画</label>
-      <select
-        className="pip-select"
-        value={layer.animation}
-        onChange={(e) => onUpdate(layer.id, { animation: e.target.value as PipAnimType })}
-      >
-        {ANIM_OPTIONS.map((opt) => (
-          <option key={opt.value} value={opt.value}>
-            {opt.label}
-          </option>
-        ))}
-      </select>
-    </div>
-
-    {/* 滑入方向（仅 slide_in 时显示） */}
-    {layer.animation === "slide_in" && (
-      <div className="pip-field">
-        <label className="pip-field-label">滑入方向</label>
-        <select
-          className="pip-select"
-          value={layer.slide_direction}
-          onChange={(e) =>
-            onUpdate(layer.id, { slide_direction: e.target.value as PipSlideDirection })
-          }
-        >
-          {SLIDE_DIR_OPTIONS.map((opt) => (
-            <option key={opt.value} value={opt.value}>
-              {opt.label}
-            </option>
-          ))}
-        </select>
-      </div>
-    )}
-  </>
-)

apps/web/src/pages/editing-planner/components/pip-config/layer-config/PipPreview.tsx

@@ -1,33 +0,0 @@
-import React from "react"
-import type { PipLayer } from "@/pages/editing-planner/types"
-import { LAYER_COLORS } from "@/pages/editing-planner/constants/pipConfig"
-
-interface PipPreviewProps {
-  layers: PipLayer[]
-  selectedId: string
-}
-
-/**
- * PIP 图层迷你预览组件
- */
-export const PipPreview: React.FC<PipPreviewProps> = ({ layers, selectedId }) => (
-  <div className="pip-preview-box">
-    {layers.map((l, idx) => (
-      <div
-        key={l.id}
-        className={`pip-preview-layer${selectedId === l.id ? " selected" : ""}`}
-        style={{
-          left: `${l.x}%`,
-          top: `${l.y}%`,
-          width: `${l.width}%`,
-          height: `${l.height}%`,
-          background: LAYER_COLORS[idx % LAYER_COLORS.length],
-          opacity: l.opacity / 100,
-          borderRadius: `${l.border_radius}%`,
-        }}
-      >
-        <span className="pip-preview-label">{l.name}</span>
-      </div>
-    ))}
-  </div>
-)

apps/web/src/pages/editing-planner/components/pip-config/layer-config/index.tsx

@@ -1,57 +0,0 @@
-/**
- * 混剪单图层配置区
- */
-import React from "react"
-import type { PipLayer, PipGridPosition } from "@/pages/editing-planner/types"
-import { PipPreview } from "./PipPreview"
-import { LayerPositionSize } from "./LayerPositionSize"
-import { LayerTimingAnimation } from "./LayerTimingAnimation"
-
-interface LayerConfigProps {
-  layer: PipLayer | null
-  layers: PipLayer[]
-  totalDuration: number
-  onUpdate: (id: string, partial: Partial<PipLayer>) => void
-  onGridClick: (pos: PipGridPosition) => void
-  onWidthChange: (val: number) => void
-  onHeightChange: (val: number) => void
-}
-
-const LayerConfig: React.FC<LayerConfigProps> = ({
-  layer,
-  layers,
-  totalDuration,
-  onUpdate,
-  onGridClick,
-  onWidthChange,
-  onHeightChange,
-}) => {
-  if (!layer) {
-    return (
-      <div className="pip-config-area">
-        <div className="pip-config-empty">选择或添加图层以配置</div>
-      </div>
-    )
-  }
-
-  return (
-    <div className="pip-config-area">
-      {/* 迷你预览 */}
-      <PipPreview layers={layers} selectedId={layer.id} />
-
-      {/* 位置与尺寸 */}
-      <LayerPositionSize
-        layer={layer}
-        onUpdate={onUpdate}
-        onGridClick={onGridClick}
-        onWidthChange={onWidthChange}
-        onHeightChange={onHeightChange}
-      />
-
-      {/* 时间与动画 */}
-      <LayerTimingAnimation layer={layer} totalDuration={totalDuration} onUpdate={onUpdate} />
-    </div>
-  )
-}
-
-export default LayerConfig

apps/web/src/pages/editing-planner/components/sticker/StickerLibrary.tsx

@@ -1,142 +0,0 @@
-/**
- * 贴纸素材库（emoji / 图片 / 文字花字）
- */
-import React, { useState } from "react"
-import type { StickerType, TextStickerPreset } from "@/pages/editing-planner/types"
-import {
-  EMOJI_LIST,
-  STICKER_TYPE_TABS,
-  TEXT_PRESET_STYLES,
-  TEXT_STICKER_PRESET_LABELS,
-} from "@/pages/editing-planner/constants/sticker"
-
-interface StickerLibraryProps {
-  activeTab: StickerType
-  onTabChange: (tab: StickerType) => void
-  onAddSticker: (type: StickerType, content: string) => void
-}
-
-const StickerLibrary: React.FC<StickerLibraryProps> = ({
-  activeTab,
-  onTabChange,
-  onAddSticker,
-}) => {
-  const [textInput, setTextInput] = useState("")
-  const imageInputRef = React.useRef<HTMLInputElement>(null)
-
-  const handleAddImage = () => {
-    const val = imageInputRef.current?.value.trim()
-    if (val) {
-      onAddSticker("image", val)
-      if (imageInputRef.current) imageInputRef.current.value = ""
-    }
-  }
-
-  const handleAddText = () => {
-    if (textInput.trim()) {
-      onAddSticker("text", textInput.trim())
-      setTextInput("")
-    }
-  }
-
-  return (
-    <>
-      {/* 类型 Tab */}
-      <div className="sticker-tabs">
-        {STICKER_TYPE_TABS.map((t) => (
-          <button
-            key={t.value}
-            className={`sticker-tab${activeTab === t.value ? " active" : ""}`}
-            onClick={() => onTabChange(t.value)}
-          >
-            {t.label}
-          </button>
-        ))}
-      </div>
-
-      {/* Tab 内容区 */}
-      <div className="sticker-tab-content">
-        {/* Emoji 素材库 */}
-        {activeTab === "emoji" && (
-          <div className="sticker-emoji-grid">
-            {EMOJI_LIST.map((emoji) => (
-              <button
-                key={emoji}
-                className="sticker-emoji-btn"
-                onClick={() => onAddSticker("emoji", emoji)}
-              >
-                {emoji}
-              </button>
-            ))}
-          </div>
-        )}
-
-        {/* 图片贴纸 */}
-        {activeTab === "image" && (
-          <div className="sticker-image-input">
-            <input
-              ref={imageInputRef}
-              type="text"
-              className="sticker-url-input"
-              placeholder="输入图片 URL 添加贴纸..."
-              onKeyDown={(e) => {
-                if (e.key === "Enter" && e.currentTarget.value.trim()) {
-                  handleAddImage()
-                }
-              }}
-            />
-            <button className="sticker-url-add-btn" onClick={handleAddImage}>
-              添加
-            </button>
-          </div>
-        )}
-
-        {/* 文字花字 */}
-        {activeTab === "text" && (
-          <div className="sticker-text-section">
-            <div className="sticker-text-input-row">
-              <input
-                type="text"
-                className="sticker-text-input"
-                placeholder="输入文字内容..."
-                value={textInput}
-                onChange={(e) => setTextInput(e.target.value)}
-              />
-              <button
-                className="sticker-text-add-btn"
-                disabled={!textInput.trim()}
-                onClick={handleAddText}
-              >
-                添加
-              </button>
-            </div>
-            <div className="sticker-text-presets">
-              <div className="sticker-preset-title">花字预设预览</div>
-              <div className="sticker-preset-grid">
-                {(Object.keys(TEXT_STICKER_PRESET_LABELS) as TextStickerPreset[]).map((p) => (
-                  <div
-                    key={p}
-                    className="sticker-preset-preview"
-                    style={{
-                      background:
-                        p === "bubble"
-                          ? "rgba(0,0,0,0.5)"
-                          : p === "gradient"
-                            ? "linear-gradient(90deg,#f093fb,#f5576c)"
-                            : "#1a1a2e",
-                    }}
-                  >
-                    <span style={TEXT_PRESET_STYLES[p]}>示例</span>
-                    <div className="sticker-preset-name">{TEXT_STICKER_PRESET_LABELS[p]}</div>
-                  </div>
-                ))}
-              </div>
-            </div>
-          </div>
-        )}
-      </div>
-    </>
-  )
-}
-
-export default StickerLibrary

apps/web/src/pages/editing-planner/components/sticker/StickerList.tsx

@@ -1,54 +0,0 @@
-/**
- * 已添加贴纸列表
- */
-import React from "react"
-import type { StickerItem } from "@/pages/editing-planner/types"
-
-interface StickerListProps {
-  items: StickerItem[]
-  selectedId: string | null
-  onSelect: (id: string) => void
-  onDelete: (id: string) => void
-}
-
-const StickerList: React.FC<StickerListProps> = ({ items, selectedId, onSelect, onDelete }) => {
-  if (items.length === 0) return null
-
-  const getDisplayContent = (item: StickerItem) => {
-    if (item.type === "emoji") return { icon: item.content, name: "表情贴纸" }
-    if (item.type === "text") return { icon: "T", name: item.content.slice(0, 10) }
-    return { icon: "🖼", name: "图片贴纸" }
-  }
-
-  return (
-    <div className="sticker-list-section">
-      <div className="sticker-section-title">已添加贴纸 ({items.length})</div>
-      <div className="sticker-list">
-        {items.map((item) => {
-          const { icon, name } = getDisplayContent(item)
-          return (
-            <div
-              key={item.id}
-              className={`sticker-list-item${selectedId === item.id ? " active" : ""}`}
-              onClick={() => onSelect(item.id)}
-            >
-              <span className="sticker-list-icon">{icon}</span>
-              <span className="sticker-list-name">{name}</span>
-              <button
-                className="sticker-list-delete"
-                onClick={(e) => {
-                  e.stopPropagation()
-                  onDelete(item.id)
-                }}
-              >
-                ✕
-              </button>
-            </div>
-          )
-        })}
-      </div>
-    </div>
-  )
-}
-
-export default StickerList

apps/web/src/pages/editing-planner/components/sticker/StickerPreview.tsx

@@ -1,39 +0,0 @@
-import React from "react"
-import type { StickerItem } from "@/pages/editing-planner/types"
-import { TEXT_PRESET_STYLES } from "@/pages/editing-planner/constants/sticker"
-
-interface StickerPreviewProps {
-  sticker: StickerItem
-}
-
-export const StickerPreview: React.FC<StickerPreviewProps> = ({ sticker }) => (
-  <div className="sticker-preview-box">
-    <div
-      className="sticker-preview-item"
-      style={{
-        left: `${sticker.x}%`,
-        top: `${sticker.y}%`,
-        width: `${sticker.width}%`,
-        height: `${sticker.height}%`,
-        transform: `translate(-50%, -50%) rotate(${sticker.rotation}deg)`,
-        opacity: sticker.opacity / 100,
-        fontSize: sticker.type === "text" ? `${sticker.font_size}px` : undefined,
-        ...TEXT_PRESET_STYLES[sticker.text_preset],
-      }}
-    >
-      {sticker.type === "emoji" && sticker.content}
-      {sticker.type === "text" && sticker.content}
-      {sticker.type === "image" && (
-        <img
-          src={sticker.content}
-          alt="sticker"
-          style={{
-            width: "100%",
-            height: "100%",
-            objectFit: "contain",
-          }}
-        />
-      )}
-    </div>
-  </div>
-)

apps/web/src/pages/editing-planner/components/sticker/StickerPropsEditor.tsx

@@ -1,130 +0,0 @@
-/**
- * 选中贴纸的属性编辑器
- */
-import React from "react"
-import type { StickerItem } from "@/pages/editing-planner/types"
-import { StickerPreview } from "./StickerPreview"
-import { TextStickerPropsEditor } from "./TextStickerPropsEditor"
-
-interface StickerPropsEditorProps {
-  sticker: StickerItem
-  totalDuration: number
-  onUpdate: (id: string, partial: Partial<StickerItem>) => void
-}
-
-const StickerPropsEditor: React.FC<StickerPropsEditorProps> = ({
-  sticker,
-  totalDuration,
-  onUpdate,
-}) => {
-  return (
-    <div className="sticker-props-section">
-      <div className="sticker-section-title">属性调整</div>
-
-      {/* 位置 */}
-      <div className="sticker-prop-row">
-        <span className="sticker-prop-label">位置 X</span>
-        <input
-          type="range"
-          className="sticker-prop-slider"
-          min={0}
-          max={100}
-          value={sticker.x}
-          onChange={(e) => onUpdate(sticker.id, { x: Number(e.target.value) })}
-        />
-        <span className="sticker-prop-value">{sticker.x}%</span>
-      </div>
-      <div className="sticker-prop-row">
-        <span className="sticker-prop-label">位置 Y</span>
-        <input
-          type="range"
-          className="sticker-prop-slider"
-          min={0}
-          max={100}
-          value={sticker.y}
-          onChange={(e) => onUpdate(sticker.id, { y: Number(e.target.value) })}
-        />
-        <span className="sticker-prop-value">{sticker.y}%</span>
-      </div>
-
-      {/* 尺寸 */}
-      <div className="sticker-prop-row">
-        <span className="sticker-prop-label">大小</span>
-        <input
-          type="range"
-          className="sticker-prop-slider"
-          min={5}
-          max={50}
-          value={sticker.width}
-          onChange={(e) =>
-            onUpdate(sticker.id, {
-              width: Number(e.target.value),
-              height: Number(e.target.value),
-            })
-          }
-        />
-        <span className="sticker-prop-value">{sticker.width}%</span>
-      </div>
-
-      {/* 旋转 */}
-      <div className="sticker-prop-row">
-        <span className="sticker-prop-label">旋转</span>
-        <input
-          type="range"
-          className="sticker-prop-slider"
-          min={-180}
-          max={180}
-          value={sticker.rotation}
-          onChange={(e) => onUpdate(sticker.id, { rotation: Number(e.target.value) })}
-        />
-        <span className="sticker-prop-value">{sticker.rotation}°</span>
-      </div>
-
-      {/* 透明度 */}
-      <div className="sticker-prop-row">
-        <span className="sticker-prop-label">透明度</span>
-        <input
-          type="range"
-          className="sticker-prop-slider"
-          min={0}
-          max={100}
-          value={sticker.opacity}
-          onChange={(e) => onUpdate(sticker.id, { opacity: Number(e.target.value) })}
-        />
-        <span className="sticker-prop-value">{sticker.opacity}%</span>
-      </div>
-
-      {/* 时间 */}
-      <div className="sticker-prop-row">
-        <span className="sticker-prop-label">开始</span>
-        <input
-          type="number"
-          className="sticker-prop-number"
-          min={0}
-          max={totalDuration}
-          step={0.1}
-          value={sticker.start_time}
-          onChange={(e) => onUpdate(sticker.id, { start_time: Number(e.target.value) })}
-        />
-        <span className="sticker-prop-label">时长</span>
-        <input
-          type="number"
-          className="sticker-prop-number"
-          min={0}
-          max={totalDuration}
-          step={0.1}
-          value={sticker.duration}
-          onChange={(e) => onUpdate(sticker.id, { duration: Number(e.target.value) })}
-        />
-      </div>
-
-      {/* 文字贴纸特有属性 */}
-      <TextStickerPropsEditor sticker={sticker} onUpdate={onUpdate} />
-
-      {/* 预览 */}
-      <StickerPreview sticker={sticker} />
-    </div>
-  )
-}
-
-export default StickerPropsEditor

apps/web/src/pages/editing-planner/components/sticker/TextStickerPropsEditor.tsx

@@ -1,57 +0,0 @@
-import React from "react"
-import type { StickerItem, TextStickerPreset } from "@/pages/editing-planner/types"
-import { TEXT_STICKER_PRESET_LABELS } from "@/pages/editing-planner/constants/sticker"
-
-interface TextStickerPropsEditorProps {
-  sticker: StickerItem
-  onUpdate: (id: string, partial: Partial<StickerItem>) => void
-}
-
-export const TextStickerPropsEditor: React.FC<TextStickerPropsEditorProps> = ({
-  sticker,
-  onUpdate,
-}) => {
-  if (sticker.type !== "text") return null
-
-  return (
-    <>
-      <div className="sticker-prop-row">
-        <span className="sticker-prop-label">花字</span>
-        <select
-          className="sticker-prop-select"
-          value={sticker.text_preset}
-          onChange={(e) =>
-            onUpdate(sticker.id, { text_preset: e.target.value as TextStickerPreset })
-          }
-        >
-          {(Object.keys(TEXT_STICKER_PRESET_LABELS) as TextStickerPreset[]).map((p) => (
-            <option key={p} value={p}>
-              {TEXT_STICKER_PRESET_LABELS[p]}
-            </option>
-          ))}
-        </select>
-      </div>
-      <div className="sticker-prop-row">
-        <span className="sticker-prop-label">字号</span>
-        <input
-          type="range"
-          className="sticker-prop-slider"
-          min={12}
-          max={72}
-          value={sticker.font_size}
-          onChange={(e) => onUpdate(sticker.id, { font_size: Number(e.target.value) })}
-        />
-        <span className="sticker-prop-value">{sticker.font_size}px</span>
-      </div>
-      <div className="sticker-prop-row">
-        <span className="sticker-prop-label">颜色</span>
-        <input
-          type="color"
-          className="sticker-prop-color"
-          value={sticker.text_color}
-          onChange={(e) => onUpdate(sticker.id, { text_color: e.target.value })}
-        />
-      </div>
-    </>
-  )
-}

apps/web/src/pages/editing-planner/components/tts/TtsSlider.tsx

@@ -1,62 +0,0 @@
-/**
- * TTS 滑块组件（语速/语调/音量）
- */
-import React from "react"
-import { Slider } from "antd"
-
-interface TtsSliderProps {
-  label: string
-  value: number
-  min: number
-  max: number
-  step: number
-  unit?: string
-  onChange: (val: number) => void
-  marks?: string[]
-  tooltipFormatter?: (v: number) => string
-}
-
-const TtsSlider: React.FC<TtsSliderProps> = ({
-  label,
-  value,
-  min,
-  max,
-  step,
-  unit = "",
-  onChange,
-  marks,
-  tooltipFormatter,
-}) => {
-  const displayValue =
-    unit === "x"
-      ? `${value.toFixed(2)}x`
-      : label === "语调"
-        ? `${value > 0 ? "+" : ""}${value} 半音`
-        : `${value}${unit}`
-
-  return (
-    <div className="tts-slider-section">
-      <div className="tts-slider-header">
-        <span className="tts-slider-label">{label}</span>
-        <span className="tts-slider-value">{displayValue}</span>
-      </div>
-      <Slider
-        min={min}
-        max={max}
-        step={step}
-        value={value}
-        onChange={(v) => onChange(v as number)}
-        tooltip={tooltipFormatter ? { formatter: (v) => tooltipFormatter(v as number) } : undefined}
-      />
-      {marks && (
-        <div className="tts-slider-marks">
-          {marks.map((m, i) => (
-            <span key={i}>{m}</span>
-          ))}
-        </div>
-      )}
-    </div>
-  )
-}
-
-export default TtsSlider

apps/web/src/pages/editing-planner/components/tts/VoiceSelector.tsx

@@ -1,50 +0,0 @@
-/**
- * TTS 音色选择组件
- */
-import React from "react"
-import type { TTSVoice } from "@/api/tts"
-import { VOICE_CATEGORY_MAP } from "../../constants/tts"
-
-interface VoiceSelectorProps {
-  voices: TTSVoice[]
-  voicesLoading: boolean
-  selectedVoiceId: string
-  onVoiceSelect: (voiceId: string) => void
-}
-
-const VoiceSelector: React.FC<VoiceSelectorProps> = ({
-  voices,
-  voicesLoading,
-  selectedVoiceId,
-  onVoiceSelect,
-}) => {
-  const voiceCategories = Object.entries(VOICE_CATEGORY_MAP)
-
-  return (
-    <div className="tts-voice-section">
-      <div className="tts-voice-label">
-        选择音色
-        {voicesLoading && <span className="tts-voice-loading">加载中...</span>}
-      </div>
-      <div className="tts-voice-grid">
-        {voiceCategories.map(([cat, info]) => {
-          const voice = voices.find((v) => v.category === cat)
-          const isSelected = voice && selectedVoiceId === voice.id
-          return (
-            <button
-              key={cat}
-              className={`tts-voice-card${isSelected ? " active" : ""}`}
-              onClick={() => voice && onVoiceSelect(voice.id)}
-              disabled={!voice || voicesLoading}
-            >
-              <span className="tts-voice-card-icon">{info.icon}</span>
-              <span className="tts-voice-card-name">{voice?.name || info.label}</span>
-            </button>
-          )
-        })}
-      </div>
-    </div>
-  )
-}
-
-export default VoiceSelector

apps/web/src/pages/editing-planner/types/clipProperties.ts

@@ -4,6 +4,7 @@
 import type { ClipData } from "./clip"
 import type { TemplateMode } from "@/api/editing-planner"
 import type { AssetItem } from "@/api/assets"
+import type { TitleConfig } from "@/api/template-editor"
 
 export interface SubtitleSettings {
   enabled: boolean
@@ -28,6 +29,10 @@ export interface BgmSettings {
 }
 
 export interface ClipPropertiesPanelProps {
+  /** 标题配置 — #1789 */
+  titleConfig?: TitleConfig
+  /** 标题配置变更 */
+  onTitleConfigChange?: (config: TitleConfig | ((prev: TitleConfig) => TitleConfig)) => void
   selectedClip: ClipData | null
   subtitleSettings: SubtitleSettings
   bgmSettings: BgmSettings

apps/web/src/pages/editing-planner/utils/timeline.ts

@@ -13,6 +13,8 @@ export const formatTrimTime = (sec: number): string => {
 /** 生成时间标尺刻度 */
 export const generateRulerMarks = (totalDuration: number, step: number): number[] => {
   const marks: number[] = []
+  // #1790: 无片段时不显示时间刻度
+  if (totalDuration <= 0) return marks
   for (let t = 0; t <= totalDuration + step; t += step) {
     marks.push(t)
   }

apps/web/src/pages/generate/GeneratePage.tsx

@@ -231,9 +231,13 @@ const GeneratePage: React.FC = () => {
   /* ── 批量变体真实片段（#1744）：后端独立选片，预览即成片；失败静默降级本地模拟 ──
      仅批量（N>1）且在第 4 步预览时申请，避免选素材阶段频繁请求；
      变体 0 沿用草稿 plan（与单视频一致），变体 1..N-1 后端 reselect 独立选片 */
+  // P0 fix：批量变体计划请求需携带配音参数，避免后端按"无配音"选片导致 clips 时长与配音错位
+  const batchVoiceLibraryId =
+    voiceMode === "clone" ? selectedClonedVoice || selectedVoice || "" : selectedVoice || ""
   const {
     clipsByVariant: variantClips,
     planIdsByVariant: variantPlanIds,
+    voiceDurationsByVariant: variantVoiceDurations,
     loading: variantClipsLoading,
     error: variantClipsError,
     retry: retryVariantClips,
@@ -243,6 +247,9 @@ const GeneratePage: React.FC = () => {
     templateId: selectedTemplate || "",
     assetIds: previewAssetIds,
     sourcePlanId: storedSourceEditPlanId || sourceEditPlanId || "",
+    voiceLibraryId: batchVoiceLibraryId,
+    voiceLibraryIds: voiceLibraryIds || [],
+    voiceModePerVideo,
   })
 
   /* ── 批量变体配音预览 URL（#1750）：独立模式每变体挂各自配音，共用模式全挂同一条；
@@ -476,6 +483,7 @@ const GeneratePage: React.FC = () => {
                   titles={previewTitles}
                   titleSettings={titleSettings}
                   voiceAudioUrls={variantVoiceAudioUrls}
+                  voiceDurations={variantVoiceDurations}
                   variantClips={variantClips}
                   clipsLoading={variantClipsLoading}
                   clipsError={variantClipsError}
@@ -548,10 +556,21 @@ const GeneratePage: React.FC = () => {
             <div
               style={{
                 display: "flex",
-                justifyContent: "center",
+                flexDirection: "column",
+                alignItems: "center",
                 marginTop: 16,
               }}
             >
+              <h2
+                style={{
+                  textAlign: "center",
+                  marginBottom: 12,
+                  fontSize: "1.5rem",
+                  fontWeight: 600,
+                }}
+              >
+                🎬 确认生成
+              </h2>
               <div
                 style={{
                   display: "flex",