fix(ai-avatar): 删除未使用变量 startY（TS6133修复）

- 删除前端 generateSmartCover（0处调用的死代码）
- 删除后端 POST /ai-avatar/render/smart-cover（对口型阶段抽封面入口，已废弃）
- 删除 SmartCoverRequest schema（无引用）
- 精简 ai_avatar_cover_service：删除 apply_title_to_cover / _overlay_title_png_on_image，
  封面一律从最终成片（已叠加标题/B-roll）抽帧，不再额外叠加
- 删除 persist_cover_to_oss / generate_smart_cover 的 title_config 参数

.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
@@ -1553,9 +1561,6 @@ 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=""

.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

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/routes/ai_avatar_render.py

@@ -11,13 +11,16 @@
 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,
+    SmartCoverResponse,
 )
+from app.services.ai_avatar_cover_service import generate_smart_cover
 from app.services.ai_avatar_render_service import (
     AiAvatarRenderError,
     AiAvatarRenderService,
@@ -49,7 +52,7 @@ def create_render_job(
     """
     try:
         job = svc.create_render_job(
-            user_id=current_user.id,
+            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],
@@ -74,10 +77,16 @@ def create_render_job(
         from app.tasks.ai_avatar_render import execute_ai_avatar_render
 
         execute_ai_avatar_render.delay(job.id)
-    except Exception:
-        logger.warning("Celery 任务提交失败，渲染任务已创建但未触发执行: %s", job.id)
+    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 job
+    return AiAvatarRenderJobResponse.model_validate(job)
 
 
 # ── GET /jobs — 任务列表 ─────────────────────────────────────────────────
@@ -94,7 +103,7 @@ def list_render_jobs(
 ):
     """获取 AI 数字人渲染任务列表."""
     items, total = svc.list_render_jobs(
-        user_id=current_user.id,
+        user_id=current_user.user.id,
         project_id=project_id,
         status=status,
         offset=offset,
@@ -118,7 +127,7 @@ def get_render_job(
     svc: AiAvatarRenderService = Depends(_get_service),
 ):
     """获取渲染任务详情."""
-    job = svc.get_render_job(job_id, current_user.id)
+    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
@@ -134,7 +143,7 @@ def cancel_render_job(
     svc: AiAvatarRenderService = Depends(_get_service),
 ):
     """取消渲染任务（仅 pending 状态可取消）."""
-    job = svc.cancel_render_job(job_id, current_user.id)
+    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":
@@ -155,7 +164,7 @@ def retry_render_job(
     svc: AiAvatarRenderService = Depends(_get_service),
 ):
     """重试失败的渲染任务."""
-    job = svc.retry_render_job(job_id, current_user.id)
+    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":
@@ -169,7 +178,82 @@ def retry_render_job(
         from app.tasks.ai_avatar_render import execute_ai_avatar_render
 
         execute_ai_avatar_render.delay(job.id)
-    except Exception:
-        logger.warning("Celery 任务提交失败，重试任务已重置但未触发执行: %s", job.id)
+    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 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")

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_variant_plans.py

@@ -108,7 +108,7 @@ def create_variant_plans(
             if _latest:
                 source_plan_id = _latest.id
         except Exception:
-            logger.warning("[variant-plans] 源 plan 解析失败", exc_info=True)
+            logger.exception("[variant-plans] 源 plan 解析失败")
 
     if not source_plan_id:
         raise HTTPException(
@@ -122,7 +122,7 @@ 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 +143,7 @@ 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

@@ -1,4 +1,4 @@
-"""对口型 API 路由 — #1796 MediaKit 对口型.
+"""对口型 API 路由 — #1796 MediaKit 对口型, #1809 参数调整.
 
 接口：
   POST   /api/v1/lipsync/jobs          提交对口型任务
@@ -13,11 +13,14 @@ from __future__ import annotations
 import logging
 
 from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_db_session
+from app.dependencies import (
+    get_db_session,
+    get_voice_clone_profile_repository,
+)
 from app.schemas.lipsync import CreateLipsyncJobRequest, LipsyncJobResponse
 from app.services.lipsync_service import LipsyncService
 from app.services.mediakit_client import MediaKitError
-from fastapi import APIRouter, Depends, HTTPException, Query
+from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Query
 from sqlalchemy.orm import Session
 
 logger = logging.getLogger(__name__)
@@ -25,8 +28,16 @@ logger = logging.getLogger(__name__)
 router = APIRouter()
 
 
-def _get_service(db: Session = Depends(get_db_session)) -> LipsyncService:
-    return LipsyncService(db)
+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
+    # TTS 合成已移至 Celery 异步任务，无需同步注入 cosyvoice_service
+    return LipsyncService(
+        db,
+        voice_clone_repo=voice_clone_repo,
+    )
 
 
 # ── POST /jobs — 提交对口型任务 ───────────────────────────────────────────
@@ -40,26 +51,47 @@ def create_lipsync_job(
 ):
     """提交对口型任务.
 
-    输入人物视频 + 驱动音频，异步生成口型对齐视频。
+    #1809/#1822: 前端传 {video_url, voice_id, script_text, speed?, emotion?}，
+    后端创建任务记录（状态 tts_processing），dispatch Celery 异步任务执行 TTS 合成 + MediaKit 提交；
+    也支持直接传 {video_url, audio_url}（同步提交 MediaKit）。
     """
     try:
         job = svc.create_job(
-            user_id=current_user.id,
+            user_id=current_user.user.id,
             video_url=body.video_url,
             audio_url=body.audio_url,
+            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:
+        # 参数无效（如 voice_id 格式不对、文本过长等）
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
     except MediaKitError as exc:
-        # 创建失败（job 已记录 error），返回 502
+        # 音色无权访问 → 403；参数无效 → 400；MediaKit 提交失败 → 502
+        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=502,
+            status_code=status_code,
             detail={
                 "code": exc.code,
                 "message": str(exc),
-                "request_id": exc.request_id,
+                "request_id": getattr(exc, "request_id", ""),
             },
         ) from exc
+    except Exception as exc:
+        # 兜底：任何未预期的错误返回 400 而非 500
+        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
 
@@ -78,7 +110,7 @@ def list_lipsync_jobs(
 ):
     """获取对口型任务列表."""
     items, total = svc.list_jobs(
-        user_id=current_user.id,
+        user_id=current_user.user.id,
         project_id=project_id,
         status=status,
         offset=offset,
@@ -98,13 +130,22 @@ def list_lipsync_jobs(
 @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.id)
+    """获取对口型任务详情.
+
+    非终态任务：先返回 DB 缓存，挂后台刷新（下次轮询拿到新状态），
+    避免 MediaKit 慢响应阻塞前端轮询。
+    """
+    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
 
 
@@ -118,7 +159,7 @@ def refresh_lipsync_job(
     svc: LipsyncService = Depends(_get_service),
 ):
     """从 MediaKit 拉取最新状态并更新."""
-    job = svc.refresh_job_status(job_id, current_user.id)
+    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
@@ -133,13 +174,13 @@ def cancel_lipsync_job(
     current_user: AuthenticatedUser = Depends(get_current_user),
     svc: LipsyncService = Depends(_get_service),
 ):
-    """取消对口型任务（仅 pending/submitted 状态可取消）."""
-    job = svc.cancel_job(job_id, current_user.id)
+    """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/submitted 可取消",
+            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/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/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

@@ -50,9 +50,11 @@ 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")
+    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")
+    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")
 
@@ -67,10 +69,7 @@ class CreateAiAvatarRenderRequest(BaseModel):
     @field_validator("script_id")
     @classmethod
     def validate_script_id(cls, v: str) -> str:
-        v = v.strip()
-        if not v:
-            raise ValueError("script_id 不能为空")
-        return v
+        return (v or "").strip()
 
 
 class AiAvatarRenderJobResponse(BaseModel):
@@ -80,7 +79,7 @@ class AiAvatarRenderJobResponse(BaseModel):
     user_id: str
     project_id: str
     lipsync_job_id: str
-    script_id: str
+    script_id: str = ""
     b_roll_segments: list[dict[str, Any]]
     title_config: dict[str, Any]
     cover_config: dict[str, Any]
@@ -109,3 +108,11 @@ class AiAvatarRenderProgressResponse(BaseModel):
     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）")

apps/api/app/schemas/lipsync.py

@@ -1,11 +1,17 @@
-"""对口型 API Schema 定义 — #1796."""
+"""对口型 API Schema 定义 — #1796 / #1809 / #1822.
+
+支持两种输入模式（二选一）：
+1. TTS 直生模式（推荐）：传 voice_id + script_text（+ speed/emotion），
+   后端内部先调 CosyVoice 合成音频，再提交 MediaKit 对口型。
+2. 直接音频模式：传 video_url + audio_url（音频已由调用方准备好）。
+"""
 
 from __future__ import annotations
 
 from datetime import datetime
 from typing import Optional
 
-from pydantic import BaseModel, Field, field_validator
+from pydantic import BaseModel, Field, model_validator
 
 
 class LipsyncJobResponse(BaseModel):
@@ -17,12 +23,17 @@ class LipsyncJobResponse(BaseModel):
     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
@@ -33,38 +44,58 @@ class LipsyncJobResponse(BaseModel):
 
 
 class CreateLipsyncJobRequest(BaseModel):
-    """创建对口型任务请求."""
+    """创建对口型任务请求.
+
+    两种模式（二选一）：
+    - TTS 直生：voice_id + script_text 必填（+ 可选 speed/emotion）；audio_url 留空。
+    - 直接音频：video_url + audio_url 必填。
+    """
 
     video_url: str = Field(..., description="人物视频 URL（MP4，≤30min，单人真人）")
-    audio_url: str = Field(..., description="驱动音频 URL（mp3/aac/wav/m4a/flac）")
+
+    # 模式 2：直接音频
+    audio_url: str = Field("", description="驱动音频 URL（mp3/aac/wav/m4a/flac）；直生模式留空")
+
+    # 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(False, description="音频长于视频时是否循环画面")
     project_id: str = Field("", description="项目 ID（可选）")
 
-    @field_validator("video_url")
-    @classmethod
-    def validate_video_url(cls, v: str) -> str:
-        v = v.strip()
-        if not v:
+    @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 v.startswith(("http://", "https://")):
+        if not video.startswith(("http://", "https://")):
             raise ValueError("video_url 必须是 HTTP/HTTPS URL")
-        # 仅支持 MP4
-        lower = v.lower().split("?")[0]
+        lower = video.lower().split("?")[0]
         if not lower.endswith(".mp4"):
             raise ValueError("video_url 仅支持 MP4 格式")
-        return v
 
-    @field_validator("audio_url")
-    @classmethod
-    def validate_audio_url(cls, v: str) -> str:
-        v = v.strip()
-        if not v:
-            raise ValueError("audio_url 不能为空")
-        if not v.startswith(("http://", "https://")):
-            raise ValueError("audio_url 必须是 HTTP/HTTPS URL")
-        # 支持的音频格式
-        lower = v.lower().split("?")[0]
-        allowed_exts = (".mp3", ".aac", ".wav", ".m4a", ".flac")
-        if not any(lower.endswith(ext) for ext in allowed_exts):
-            raise ValueError(f"audio_url 格式不支持，仅支持: {', '.join(allowed_exts)}")
-        return v
+        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

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=1s × max_poll=15 → 最长 15s，配合前端 120s 超时足够
+COVER_POLL_INTERVAL = 1.0
+COVER_MAX_POLL_ATTEMPTS = 15
+
+# 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

@@ -9,8 +9,11 @@
 
 from __future__ import annotations
 
+import base64
+import binascii
 import logging
 import os
+import subprocess
 import tempfile
 import uuid
 from datetime import datetime, timezone
@@ -24,8 +27,9 @@ from packages.adapters.sqlalchemy_impl.models import (
     ScriptModel,
 )
 from packages.domain.video_filter_builder import (
-    build_cover_extract_command,
+    build_broll_overlay_filter,
     build_title_drawtext_filter,
+    build_title_overlay_filter,
 )
 from packages.shared.storage import get_shared_storage_service
 
@@ -53,8 +57,8 @@ class AiAvatarRenderService:
         *,
         user_id: str,
         lipsync_job_id: str,
-        script_id: str,
-        b_roll_segments: list[dict[str, Any]],
+        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 = "",
@@ -83,17 +87,19 @@ class AiAvatarRenderService:
         if not lipsync_job.output_video_url:
             raise AiAvatarRenderError("对口型任务输出视频 URL 为空", code="LipsyncJobNoOutput")
 
-        # 2. 验证文案归属
-        script = (
-            self.db.query(ScriptModel)
-            .filter(
-                ScriptModel.id == script_id,
-                ScriptModel.user_id == user_id,
+        # 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()
             )
-            .first()
-        )
-        if script is None:
-            raise AiAvatarRenderError("文案不存在或无权访问", code="ScriptNotFound")
+            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())
@@ -103,7 +109,7 @@ class AiAvatarRenderService:
             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],
+            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",
@@ -194,9 +200,8 @@ class AiAvatarRenderService:
         1. 下载对口型输出视频 (20%)
         2. 构建 FFmpeg 滤镜链 (40%)
         3. 执行 FFmpeg 渲染 (80%)
-        4. 提取封面 (90%)
-        5. 上传到 OSS (95%)
-        6. 更新任务状态 (100%)
+        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:
@@ -226,27 +231,32 @@ class AiAvatarRenderService:
             self.db.commit()
 
             # 2. 构建 FFmpeg 滤镜链 (40%)
-            from packages.domain.video_filter_builder import build_broll_overlay_filter
+            # 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)
 
-            filter_complex = build_broll_overlay_filter(
+            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
-            title_filter = build_title_drawtext_filter(job.title_config)
-            if title_filter:
-                if filter_complex:
-                    filter_complex += f"[vout]{title_filter}[vout_titled];"
-                else:
-                    filter_complex = f"[0:v]{title_filter}[vout_titled];"
-
-            # 清理末尾分号
-            if filter_complex.endswith(";"):
-                filter_complex = filter_complex[:-1]
-
-            # 最终输出标签
-            final_label = "vout_titled" if title_filter else ("vout" if filter_complex else None)
+            # 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()
@@ -255,42 +265,126 @@ class AiAvatarRenderService:
             with tempfile.TemporaryDirectory() as tmpdir:
                 output_video_path = os.path.join(tmpdir, "output.mp4")
 
-                cmd = self._build_ffmpeg_command(
+                # 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,
                 )
 
-                exit_code = os.system(cmd)
-                if exit_code != 0:
-                    raise AiAvatarRenderError(f"FFmpeg 渲染失败，退出码: {exit_code}", code="FFmpegFailed")
+                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. 提取封面 (90%)
-                cover_path = ""
-                if job.cover_config:
-                    cover_path = os.path.join(tmpdir, "cover.jpg")
-                    cover_cmd = build_cover_extract_command(job.cover_config, cover_path)
-                    cover_cmd = cover_cmd.replace("INPUT_VIDEO", output_video_path)
-                    cover_exit = os.system(cover_cmd)
-                    if cover_exit != 0:
-                        logger.warning("封面提取失败，跳过: %s", cover_cmd)
-                        cover_path = ""
-
-                job.progress = 90
-                self.db.commit()
-
-                # 5. 上传到 OSS (95%)
+                # 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
 
-                if cover_path:
-                    output_cover_url = self._upload_to_oss(cover_path, f"ai-avatar/{job_id}/cover.jpg")
-                    job.output_cover_url = output_cover_url
+                # 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
@@ -305,18 +399,56 @@ class AiAvatarRenderService:
             self.db.commit()
             logger.info("渲染任务完成: %s", job_id)
 
+            # 7. 自动保存成片记录到成片库
+            if job.output_video_url:
+                try:
+                    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 同样兜底用 render_job_id
+                    clip_project_id = (job.project_id or "").strip() or "ai_avatar"
+                    clip_generation_task_id = (job.lipsync_job_id or "").strip() or job_id
+                    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=job.output_cover_url or None,
+                        generation_params={
+                            "source": "ai_avatar_render",
+                            "render_job_id": job.id,
+                        },
+                    )
+                    video_repo = SQLAlchemyGeneratedVideoRepository(self.db)
+                    video_repo.create(clip)
+                    logger.info("成片记录已保存到成片库: clip_id=%s, render_job=%s", clip.id, job_id)
+                except Exception:
+                    logger.error(
+                        "自动保存成片记录失败（不影响渲染任务状态）: render_job=%s",
+                        job_id,
+                        exc_info=True,
+                    )
+
         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 _download_video(self, url: str) -> str:
         """下载视频到临时文件."""
@@ -334,32 +466,132 @@ class AiAvatarRenderService:
                 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,
-    ) -> str:
-        """构建 FFmpeg 命令."""
-        # 输入文件
-        inputs = f"-i {input_video}"
+    ) -> 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:
-                inputs += f" -i {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])
 
-        # 滤镜
         if filter_complex and final_label:
-            filter_arg = f'-filter_complex "{filter_complex}" -map "[{final_label}]"'
+            cmd.extend(
+                [
+                    "-filter_complex",
+                    filter_complex,
+                    "-map",
+                    f"[{final_label}]",
+                    "-map",
+                    "0:a?",
+                ]
+            )
         elif filter_complex:
-            filter_arg = f'-filter_complex "{filter_complex}"'
-        else:
-            filter_arg = ""
+            cmd.extend(["-filter_complex", filter_complex])
 
-        return f"ffmpeg {inputs} {filter_arg} -c:v libx264 -preset fast -crf 23 -y {output_path}"
+        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.

apps/api/app/services/lipsync_service.py

@@ -1,18 +1,21 @@
-"""对口型 Service — #1796 MediaKit 对口型业务逻辑.
+"""对口型 Service — #1796 MediaKit 对口型业务逻辑, #1809 参数调整.
 
 职责：
-- 创建/查询/取消对口型任务
+- 创建/查询对口型任务
+- 双输入模式：TTS 直生（voice_id + script_text，内部先合成音频转存 OSS）或直接音频（audio_url）
 - 调用 MediaKit 客户端提交异步任务
-- 轮询更新任务状态
+- 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,
@@ -22,19 +25,122 @@ from app.services.mediakit_client import (
     MediaKitError,
     get_mediakit_client,
 )
+
+# Celery 异步任务：TTS 合成 + MediaKit 提交（#lipsync-speed-optimization）
+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.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 排队 + 拉取可能延迟，私有桶裸 URL 或 1 小时短预签名都会 403，故统一重签长有效期。
+MEDIAKIT_URL_TTL_SECONDS = 7 * 24 * 3600
+
 
 class LipsyncService:
     """对口型任务 Service."""
 
-    def __init__(self, db: Session, client: Optional[MediaKitClient] = None):
+    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
 
     # ── 创建任务 ──────────────────────────────────────────────────────────
 
@@ -43,17 +149,39 @@ class LipsyncService:
         *,
         user_id: str,
         video_url: str,
-        audio_url: str,
+        audio_url: str = "",
+        voice_id: str = "",
+        script_text: str = "",
+        speed: float = 1.0,
+        emotion: str = "",
         enable_video_loop: bool = False,
         project_id: str = "",
     ) -> LipsyncJobModel:
-        """创建对口型任务并提交到 MediaKit.
+        """创建对口型任务.
+
+        两种输入模式：
+        - TTS 直生：voice_id + script_text（audio_url 留空）
+          → 先创建 DB 记录（状态 tts_processing），再 dispatch Celery 异步任务
+            执行 TTS 合成 + MediaKit 提交。API 响应 <1s。
+        - 直接音频：提供 audio_url
+          → 同步提交 MediaKit，状态直接设为 submitted。
 
         Raises:
-            MediaKitError: API 调用失败
+            MediaKitError: 参数校验失败或 MediaKit 提交失败（仅直接音频模式）
         """
+        # 0. 输入校验
+        if not audio_url:
+            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)
+
         # 1. 创建数据库记录
         job_id = str(uuid.uuid4())
+        is_tts_mode = not bool(audio_url)
         job = LipsyncJobModel(
             id=job_id,
             user_id=user_id,
@@ -61,31 +189,73 @@ class LipsyncService:
             video_url=video_url,
             audio_url=audio_url,
             enable_video_loop=enable_video_loop,
-            status="pending",
+            voice_id=voice_id or "",
+            script_text=script_text or "",
+            speed=speed,
+            emotion=normalize_emotion(emotion),
+            status="tts_processing" if is_tts_mode else "pending",
         )
         self.db.add(job)
         self.db.flush()
 
-        # 2. 提交到 MediaKit
-        try:
-            result = self.client.submit_lipsync(
-                video_url=video_url,
-                audio_url=audio_url,
-                enable_video_loop=enable_video_loop,
-                client_token=job_id,  # 幂等控制
-            )
-            job.mediakit_task_id = result["task_id"]
-            job.status = "submitted"
-            job.submitted_at = datetime.now(timezone.utc)
-        except MediaKitError as exc:
-            job.status = "failed"
-            job.error_message = str(exc)
-            job.error_code = exc.code
-            logger.error("提交对口型任务失败: %s", exc)
-            raise
-
+        # ⚠️ 必须先 commit 再发 Celery 任务，避免事务竞态：
+        # worker 是独立进程+独立DB连接，任务被消费（<4ms）时若本事务还未提交，
+        # worker 查询 job 会返回 None → 静默 return 不重试，job 永远卡在 tts_processing。
         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
+            try:
+                tts_synthesize_and_submit.apply_async(
+                    args=(
+                        job_id,
+                        user_id,
+                        voice_id,
+                        script_text,
+                        speed,
+                        normalize_emotion(emotion),
+                    )
+                )
+            except Exception as exc:
+                # 投递失败时立即把 job 标成 failed 并写入 error_message，
+                # 前端轮询时能直接看到失败原因，不会无限卡在 tts_processing。
+                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()  # 投递失败也要落库失败状态
+        else:
+            # 2b. 直接音频模式：同步签名并提交 MediaKit
+            video_url = self._sign_media_url(video_url)
+            if audio_url:
+                audio_url = self._sign_media_url(audio_url)
+                job.audio_url = audio_url
+
+            try:
+                result = self.client.submit_lipsync(
+                    video_url=video_url,
+                    audio_url=audio_url,
+                    enable_video_loop=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()  # submitted 状态落库
+            except MediaKitError as exc:
+                job.status = "failed"
+                job.error_message = str(exc)
+                job.error_code = exc.code
+                logger.error("提交对口型任务失败: %s", exc)
+                self.db.commit()
+                raise
+
         return job
 
     # ── 查询任务 ──────────────────────────────────────────────────────────
@@ -145,34 +315,103 @@ class LipsyncService:
             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
-            job.output_video_url = result.get("video_url", "")
+            temp_url = result.get("video_url", "")
+            # 先以临时 URL 立即返回前端（前端可立即播放），再异步 Celery 任务转存自家 OSS（步骤⑦）
+            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()
+            # 异步转存到自家 OSS（注意：必须在 commit 之后 dispatch，避免 commit 失败任务已发出）
+            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)
-        # running 状态只更新时间戳
+        else:
+            # 中间状态（running/processing/queued 等）同步到 DB，避免前端永远卡在 submitted
+            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，不影响任务完成。
+        """
+        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，供 MediaKit 拉取 / 前端播放。
+
+        - 裸 public_url（upload_file 返回，不带签名）→ 私有桶匿名访问 403，重签。
+        - 已带签名但即将过期的 URL（如前端 1h 预签名）→ 抽 storage_key 后重签。
+        - 外部 URL（CosyVoice/MediaKit 临时链接，非本桶 host）→ 原样透传。
+        - 任何异常都降级原样返回，不阻断主流程。
+        """
+        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  # 无法判定归属，保守透传
+            own_host = urlparse(public_base).netloc.lower()
+            host = urlparse(url).netloc.lower()
+            if not own_host or host != own_host:
+                return url  # 非自家 OSS（外部临时链接），不处理
+            signed = storage.get_download_url(url, expires_seconds=MEDIAKIT_URL_TTL_SECONDS)
+            return signed or url
+        except Exception as exc:  # noqa: BLE001 - 签名失败不阻断，降级原 URL
+            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/submitted 状态可取消）."""
+        """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", "submitted"):
+        if job.status in ("pending", "tts_processing", "submitted"):
             job.status = "cancelled"
             job.updated_at = datetime.now(timezone.utc)
             self.db.commit()

apps/api/app/tasks/lipsync_tts.py

@@ -0,0 +1,550 @@
+"""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。
+"""
+
+import io
+import logging
+from datetime import datetime, timezone
+from urllib.parse import urlparse
+
+from celery import shared_task
+
+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
+
+
+def _split_script_into_sentences(script_text: str) -> list[str]:
+    """按句号/问号/感叹号/分号/逗号/换行分句（与前端 SENTENCE_SPLIT_RE 一致）.
+
+    中文短视频文案习惯用「，」断小句（如"卖花的叫花无缺，卖姜的叫姜子牙"），
+    必须把逗号也纳入分隔符，否则多句文案会被识别成一整句，导致 B-roll 时间戳错位。
+    """
+    import re
+
+    text = (script_text or "").strip()
+    if not text:
+        return []
+    parts = re.split(r"[。！？!?？！;；,，\n\r]+", text)
+    return [p.strip() for p in parts if p.strip()]
+
+
+def _compute_sentence_timings(audio_data: bytes, script_text: str, total_duration: float) -> list[dict]:
+    """基于 TTS 音频的静音检测，精确计算每句文案的起止时间.
+
+    使用 ffmpeg silencedetect 检测静音段，将静音点与句子边界对齐。
+    比字数比例估算准确得多。
+
+    Args:
+        audio_data: TTS 音频二进制数据（MP3）
+        script_text: 文案全文
+        total_duration: 音频总时长（秒）
+
+    Returns:
+        list[{"index": int, "text": str, "start_time": float, "end_time": float}]
+    """
+    import re
+    import subprocess
+    import tempfile
+
+    sentences = _split_script_into_sentences(script_text)
+    if not sentences:
+        return []
+
+    # 写入临时音频文件
+    with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as tmp:
+        tmp.write(audio_data)
+        tmp_path = tmp.name
+
+    try:
+        # 用 ffmpeg silencedetect 检测静音段
+        result = subprocess.run(
+            [
+                "ffmpeg",
+                "-i",
+                tmp_path,
+                "-af",
+                "silencedetect=noise=-25dB:d=0.3",
+                "-f",
+                "null",
+                "-",
+            ],
+            capture_output=True,
+            text=True,
+            timeout=30,
+        )
+        stderr = result.stderr or ""
+
+        # 解析静音结束时间点（silence_end: X.XXX）
+        silence_ends = []
+        for match in re.finditer(r"silence_end:\s*([\d.]+)", stderr):
+            t = float(match.group(1))
+            if 0 < t < total_duration:
+                silence_ends.append(t)
+
+        # 如果没有检测到足够的静音点，降级为字数比例估算
+        if len(silence_ends) < len(sentences) - 1:
+            logger.warning(
+                "[sentence_timings] 静音点不足(%d < %d)，降级为字数比例估算",
+                len(silence_ends),
+                len(sentences) - 1,
+            )
+            return _estimate_sentence_timings_by_chars(sentences, total_duration)
+
+        # 贪心匹配：N-1 个句子边界对应 N-1 个静音点
+        # 按时间均匀分布期望值，选择最近的静音点
+        n_boundaries = len(sentences) - 1
+        boundaries = []
+        used_indices = set()
+
+        for i in range(n_boundaries):
+            # 期望的边界位置（按句子数量均匀分布）
+            expected_pos = (i + 1) / len(sentences) * total_duration
+            # 找最近的未使用静音点
+            best_idx = None
+            best_dist = float("inf")
+            for j, t in enumerate(silence_ends):
+                if j in used_indices:
+                    continue
+                dist = abs(t - expected_pos)
+                if dist < best_dist:
+                    best_dist = dist
+                    best_idx = j
+            if best_idx is not None:
+                used_indices.add(best_idx)
+                boundaries.append(silence_ends[best_idx])
+
+        boundaries.sort()
+
+        # 构建 sentence_timings
+        timings = []
+        prev_end = 0.0
+        for i, sent in enumerate(sentences):
+            start = prev_end
+            end = boundaries[i] if i < len(boundaries) else total_duration
+            timings.append(
+                {
+                    "index": i,
+                    "text": sent,
+                    "start_time": round(start, 2),
+                    "end_time": round(end, 2),
+                }
+            )
+            prev_end = end
+
+        return timings
+
+    except Exception as exc:
+        logger.warning("[sentence_timings] 静音检测异常，降级为字数比例估算: %s", exc)
+        return _estimate_sentence_timings_by_chars(sentences, total_duration)
+    finally:
+        import os
+
+        try:
+            os.unlink(tmp_path)
+        except Exception:
+            pass
+
+
+def _estimate_sentence_timings_by_chars(sentences: list[str], total_duration: float) -> list[dict]:
+    """降级方案：按字数比例估算句子时间（与原前端逻辑一致）."""
+    if not sentences or total_duration <= 0:
+        return []
+    total_chars = sum(len(s.replace(r"\s", "")) for s in sentences)
+    if total_chars == 0:
+        return []
+
+    timings = []
+    acc = 0
+    for i, sent in enumerate(sentences):
+        chars = len(sent.replace(r"\s", ""))
+        start = (acc / total_chars) * total_duration
+        end = ((acc + chars) / total_chars) * total_duration
+        timings.append(
+            {
+                "index": i,
+                "text": sent,
+                "start_time": round(start, 2),
+                "end_time": round(end, 2),
+            }
+        )
+        acc += chars
+    return timings
+
+
+@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。
+    """
+    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。
+            # Celery 内置 autoretry_for 不支持"业务条件重试"，这里手动 retry 3 次，
+            # 间隔递增（1s/3s/7s），让 API 事务有时间提交。
+            # max_retries 由 self.request(retries) 维护；默认 self.max_retries=3 由装饰器 soft_time_limit 下方指定。
+            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
+        _st_tmp_path: str | 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，与 audio/wav 等价（RIFF/WAVE）
+                    "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:
+            # 下载失败：audio_data 保持 None，2.5 静音检测会跳过；后续仍用 temp_url 提交 MediaKit
+            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）
+        # 直接复用步骤 2 已下载到内存的 audio_data，避免重新下载
+        import os as _os
+
+        try:
+            import subprocess as _sp
+            import tempfile as _tmpf
+
+            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:
+                # 写入临时文件供 ffprobe/ffmpeg 使用
+                with _tmpf.NamedTemporaryFile(suffix=".mp3", delete=False) as _atmp:
+                    _atmp.write(audio_data)
+                    _st_tmp_path = _atmp.name
+
+                # ffprobe 获取音频时长
+                _probe_result = _sp.run(
+                    [
+                        "ffprobe",
+                        "-v",
+                        "error",
+                        "-show_entries",
+                        "format=duration",
+                        "-of",
+                        "default=noprint_wrappers=1:nokey=1",
+                        _st_tmp_path,
+                    ],
+                    capture_output=True,
+                    text=True,
+                    timeout=10,
+                )
+                _audio_duration = float(_probe_result.stdout.strip()) if _probe_result.stdout.strip() else 0.0
+                logger.info(
+                    "[lipsync_tts] 音频时长探测: job_id=%s duration=%.2f probe_stdout=%s probe_stderr=%s",
+                    job_id,
+                    _audio_duration,
+                    _probe_result.stdout.strip()[:50],
+                    _probe_result.stderr.strip()[:100] if _probe_result.stderr else "",
+                )
+
+                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 stdout=%s stderr=%s",
+                        job_id,
+                        _probe_result.stdout.strip()[:100],
+                        _probe_result.stderr.strip()[:200] if _probe_result.stderr else "",
+                    )
+                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
+            )
+        finally:
+            if _st_tmp_path:
+                try:
+                    _os.unlink(_st_tmp_path)
+                except Exception:
+                    pass
+
+        # 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）.
+
+    - MediaKit 返回 completed 后先以 temp_url 回前端（前端可立即播放临时 URL）
+    - Celery 后台下载 temp_url 并转存 OSS，成功后更新 job.output_video_url 为永久 URL
+    - 失败则保留 temp_url，不阻断主流程
+    """
+
+    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")
+            # 对自家 OSS URL 重签 7 天有效期预签名，供前端播放
+            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/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

@@ -58,6 +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",
@@ -173,6 +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/AiAvatar.css

@@ -486,14 +486,16 @@
 
 .aa-lipsync-preview {
   width: 100%;
+  max-width: 240px;
   aspect-ratio: 9/16;
   background: #0f0f1a;
   border-radius: 10px;
   overflow: hidden;
-  margin-bottom: 12px;
+  margin: 0 auto 12px auto;
   display: flex;
   align-items: center;
   justify-content: center;
+  position: relative;
 }
 
 .aa-lipsync-preview video {
@@ -547,21 +549,25 @@
 /* ── 封面 & 生成 ── */
 .aa-cover-preview {
   width: 100%;
+  max-width: 240px;
   aspect-ratio: 9/16;
-  max-height: 160px;
   background: #f0f0f5;
-  border-radius: 10px;
+  border-radius: 12px;
   overflow: hidden;
   display: flex;
   align-items: center;
   justify-content: center;
-  margin-bottom: 12px;
+  margin: 0 auto 12px auto;
+  position: relative;
 }
 
 .aa-cover-preview img {
   width: 100%;
   height: 100%;
+  aspect-ratio: 9/16;
   object-fit: cover;
+  display: block;
+  border-radius: 12px;
 }
 
 .aa-cover-preview__placeholder {
@@ -569,6 +575,19 @@
   color: #8c8ca1;
 }
 
+.aa-cover-preview__loading {
+  position: absolute;
+  inset: 0;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  background: rgba(0, 0, 0, 0.45);
+  color: #fff;
+  font-size: 13px;
+  backdrop-filter: blur(4px);
+  -webkit-backdrop-filter: blur(4px);
+}
+
 .aa-cover-actions {
   display: flex;
   gap: 8px;
@@ -1021,3 +1040,228 @@
   font-size: 36px;
   margin-bottom: 8px;
 }
+
+/* ============================================================
+   #1809 ④⑤⑥ B-roll 弹窗：选库行 + 文案句子列表 + 自动估算提示
+   ============================================================ */
+
+/* 宽弹窗：左右两栏 + 句子列表需要更大空间 */
+.aa-modal--wide {
+  max-width: 960px;
+  width: 94%;
+}
+
+.aa-broll-modal-body .aa-broll-right {
+  width: 300px;
+}
+
+/* 左侧素材库选择行 */
+.aa-broll-lib-row {
+  margin-bottom: 10px;
+}
+
+.aa-broll-lib-row .aa-select {
+  width: 100%;
+  height: 36px;
+  border: 1px solid var(--border-color, #e2e2ea);
+  border-radius: 8px;
+  padding: 0 10px;
+  font-size: 13px;
+  background: #fff;
+  color: #1a1a2e;
+  outline: none;
+}
+
+/* 无缩略图时的素材占位 */
+.aa-broll-asset-placeholder {
+  width: 100%;
+  height: 100%;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  font-size: 18px;
+}
+
+/* 文案句子列表 */
+.aa-sentence-list {
+  max-height: 240px;
+  overflow-y: auto;
+  display: flex;
+  flex-direction: column;
+  gap: 6px;
+  padding-right: 4px;
+}
+
+.aa-sentence-item {
+  display: flex;
+  align-items: flex-start;
+  gap: 8px;
+  width: 100%;
+  text-align: left;
+  border: 1px solid var(--border-color, #e2e2ea);
+  border-radius: 8px;
+  background: #fff;
+  padding: 8px 10px;
+  cursor: pointer;
+  transition: all 0.15s;
+}
+
+.aa-sentence-item:hover {
+  border-color: #c0c0d0;
+  background: #f8f8fc;
+}
+
+.aa-sentence-item.active {
+  border-color: #7c3aed;
+  background: #f3edff;
+}
+
+.aa-sentence-item__idx {
+  flex-shrink: 0;
+  width: 20px;
+  height: 20px;
+  border-radius: 50%;
+  background: #f0f0f5;
+  color: #6b6b80;
+  font-size: 11px;
+  font-weight: 600;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+}
+
+.aa-sentence-item.active .aa-sentence-item__idx {
+  background: #7c3aed;
+  color: #fff;
+}
+
+.aa-sentence-item__text {
+  flex: 1;
+  font-size: 12px;
+  line-height: 1.5;
+  color: #1a1a2e;
+  word-break: break-all;
+}
+
+.aa-sentence-item__time {
+  flex-shrink: 0;
+  font-size: 10px;
+  color: #8c8ca1;
+  margin-top: 2px;
+}
+
+.aa-sentence-empty {
+  font-size: 12px;
+  color: #8c8ca1;
+  background: #f8f8fc;
+  border-radius: 8px;
+  padding: 10px;
+}
+
+/* 选择/估算提示 */
+.aa-broll-hint {
+  font-size: 12px;
+  color: #059669;
+  background: #f8f8fc;
+  border-radius: 6px;
+  padding: 8px 10px;
+  display: flex;
+  flex-direction: column;
+  gap: 4px;
+}
+
+/* ─ 对口型生成弹窗 Spinner ── */
+.aa-lipsync-spinner {
+  width: 48px;
+  height: 48px;
+  border: 4px solid #f0f0f5;
+  border-top-color: #6366f1;
+  border-radius: 50%;
+  animation: aa-spin 0.8s linear infinite;
+}
+
+@keyframes aa-spin {
+  to {
+    transform: rotate(360deg);
+  }
+}
+
+.aa-btn--danger {
+  background: #ff4d4f;
+  color: #fff;
+  border: none;
+}
+
+.aa-btn--danger:hover {
+  background: #ff7875;
+}
+
+/* ── v3.1 两步骤导航（仅追加，不改动上方任何原有样式） ── */
+.aa-step-nav {
+  display: flex;
+  align-items: center;
+  gap: 24px;
+  padding: 10px 24px;
+  background: #fff;
+  border-bottom: 1px solid #e8e8ec;
+  flex-shrink: 0;
+}
+
+.aa-step-nav__item {
+  font-size: 13px;
+  font-weight: 500;
+  color: #8c8ca1;
+  position: relative;
+  padding-bottom: 6px;
+}
+
+.aa-step-nav__item.active {
+  color: #4f46e5;
+  font-weight: 600;
+}
+
+.aa-step-nav__item.active::after {
+  content: "";
+  position: absolute;
+  left: 0;
+  right: 0;
+  bottom: -11px;
+  height: 2px;
+  background: #4f46e5;
+  border-radius: 1px;
+}
+
+/* 步骤切换按钮行 */
+.aa-step-btn-row {
+  display: flex;
+  justify-content: flex-end;
+  gap: 8px;
+  margin-top: 16px;
+  padding-top: 12px;
+  border-top: 1px dashed #f0f0f5;
+}
+
+.aa-step-btn-row .aa-btn {
+  min-width: 120px;
+}
+
+/* 分步布局：每个步骤 3 个横向面板等宽撑满（沿用原 .aa-panel 外观，仅改宽度） */
+.aa-page-body > .aa-panel--s1,
+.aa-page-body > .aa-panel--s2 {
+  flex: 1 1 0;
+  width: auto;
+  min-width: 220px;
+}
+
+/* 文案 / 对口型预览面板内容较多，给更宽的弹性比例 */
+.aa-page-body > .aa-panel--s1-wide {
+  flex: 1.4 1 0;
+  width: auto;
+  min-width: 280px;
+}
+
+.aa-page-body > .aa-panel--s2-wide {
+  flex: 1.4 1 0;
+  width: auto;
+  min-width: 300px;
+}

apps/web/src/pages/ai-avatar/AiAvatarPage.tsx

@@ -1,52 +1,147 @@
 /**
- * AI数字人 — 主页面（v3）
- * 5列水平面板布局
+ * AI数字人 — 主页面（v3 两步骤版）
+ * 步骤1：出镜视频 / 配音库 / 文案
+ * 步骤2：对口型预览（含插入画面）/ 标题配置 / 封面&生成
  */
 import React, { useState, useCallback, useEffect, useRef } from "react"
+import { message } from "antd"
+import { useNavigate } from "react-router-dom"
 import "./AiAvatar.css"
 import { useAiAvatar } from "./hooks/useAiAvatar"
 import { PanelVideoSelector } from "./components/PanelVideoSelector"
 import PanelVoiceSelector from "./components/PanelVoiceSelector"
-import PanelScriptAndLipsync from "./components/PanelScriptAndLipsync"
+import PanelScript from "./components/PanelScript"
+import PanelLipsyncPreview from "./components/PanelLipsyncPreview"
 import PanelTitleConfig from "./components/PanelTitleConfig"
 import PanelCoverAndGenerate from "./components/PanelCoverAndGenerate"
 import { ModalAssetPicker } from "./components/ModalAssetPicker"
 import ModalBRollEditor from "./components/ModalBRollEditor"
-import { getScripts, createLipsyncJob, getLipsyncJob, submitRender } from "./api/aiAvatar"
-import { getAssetsByKind } from "@/api/assets"
+import {
+  getScripts,
+  getAssetById,
+  createLipsyncJob,
+  getLipsyncJob,
+  submitRender,
+  getRenderJob,
+  generateRenderSmartCover,
+} from "./api/aiAvatar"
+import { getOrCreateDefaultProject } from "@/api/projects"
+import type { RenderJob } from "./types"
+import {
+  normalizeEmotion,
+  buildTitleConfigPayload,
+  buildCoverConfigPayload,
+} from "./utils/contract"
+import { renderTitleToPngDataUrl, getVideoResolution } from "./utils/titleCanvas"
 
 /** 面板折叠状态 */
-type PanelKey = "video" | "voice" | "script" | "title" | "cover"
+type PanelKey = "video" | "voice" | "script" | "lipsync" | "title" | "cover"
 
 const AiAvatarPage: React.FC = () => {
   const state = useAiAvatar()
+  const navigate = useNavigate()
+  const [currentStep, setCurrentStep] = useState<1 | 2>(1)
   const [collapsed, setCollapsed] = useState<Record<PanelKey, boolean>>({
     video: false,
     voice: false,
     script: false,
+    lipsync: false,
     title: false,
     cover: false,
   })
 
-  /* ── 素材库弹窗 ── */
-  const [bRollAssets, setBRollAssets] = useState<import("@/api/assets").AssetItem[]>([])
+  /* ── 对口型生成弹窗 ── */
+  const [showLipsyncModal, setShowLipsyncModal] = useState(false)
+  const [lipsyncStatus, setLipsyncStatus] = useState<"generating" | "completed" | "failed">(
+    "generating",
+  )
+  const [lipsyncErrorMessage, setLipsyncErrorMessage] = useState("")
+  /* ── 渲染进度弹窗 ── */
+  const [showRenderModal, setShowRenderModal] = useState(false)
+  const [renderStatus, setRenderStatus] = useState<"generating" | "completed" | "failed">(
+    "generating",
+  )
+  const [renderProgress, setRenderProgress] = useState(0)
+  const [renderErrorMessage, setRenderErrorMessage] = useState("")
+  /* ── 当前渲染任务对象（轮询更新；用于封面区判断渲染是否完成） ── */
+  const [currentRenderJob, setCurrentRenderJob] = useState<RenderJob | null>(null)
 
   /* ── 对口型轮询 ── */
   const lipsyncTimerRef = useRef<ReturnType<typeof setInterval> | null>(null)
+  /* ── 渲染进度轮询 ── */
+  const renderTimerRef = useRef<ReturnType<typeof setInterval> | null>(null)
 
   const togglePanel = useCallback((key: PanelKey) => {
     setCollapsed((prev) => ({ ...prev, [key]: !prev[key] }))
   }, [])
 
+  /* ── 步骤切换 ── */
+  const handleNextStep = useCallback(() => {
+    const missing: string[] = []
+    if (!state.selectedVideo) missing.push("出镜视频")
+    if (!state.selectedVoice) missing.push("配音")
+    if (!state.scriptText.trim()) missing.push("文案")
+    if (missing.length > 0) {
+      message.warning(`请先完成${missing.join("、")}`)
+      return
+    }
+    setCurrentStep(2)
+  }, [state.selectedVideo, state.selectedVoice, state.scriptText])
+
+  const handlePrevStep = useCallback(() => {
+    setCurrentStep(1)
+  }, [])
+
   /* ── 对口型 ── */
   const handleGenerateLipsync = useCallback(async () => {
-    if (!state.selectedVideo || !state.selectedVoice || !state.scriptText) return
+    // ② 缺项明确提示（#1809）：不再静默 return
+    const video = state.selectedVideo
+    const voice = state.selectedVoice
+    const text = state.scriptText.trim()
+    const missing: string[] = []
+    if (!video) missing.push("出镜视频")
+    if (!voice) missing.push("音色")
+    if (!text) missing.push("文案")
+    if (missing.length > 0 || !video || !voice) {
+      message.warning(`请先选择${missing.join("、")}`)
+      return
+    }
     try {
-      const job = await createLipsyncJob({
-        voice_id: state.selectedVoice.voice_id,
-        script_text: state.scriptText,
-        video_asset_id: state.selectedVideo.id,
+      // 显示生成弹窗
+      setShowLipsyncModal(true)
+      setLipsyncStatus("generating")
+      setLipsyncErrorMessage("")
+
+      // ① 先按素材 id 拿 file_url（#1809 补充：对齐后端新参数 video_url）
+      console.log("[对口型] 开始生成:", {
+        videoId: video.id,
+        voiceId: voice.voice_id,
+        voiceType: voice.type,
+        textLen: state.scriptText.length,
       })
+      const asset = await getAssetById(video.id)
+      console.log("[对口型] getAssetById 响应:", {
+        id: asset?.id,
+        file_url: asset?.file_url?.substring(0, 100),
+      })
+      const videoUrl = asset?.file_url
+      if (!videoUrl) {
+        console.error("[对口型] file_url 为空，asset:", asset)
+        setShowLipsyncModal(false)
+        message.error("获取出镜视频播放地址失败，请重新选择素材")
+        return
+      }
+      // ② 模式A TTS直生：video_url + voice_id + script_text，语速/情绪英文枚举透传（#1822）
+      const payload = {
+        voice_id: voice.voice_id,
+        script_text: state.scriptText,
+        video_url: videoUrl,
+        speed: state.speed, // 语速 0.5~2.0
+        emotion: normalizeEmotion(state.emotion), // natural/excited/calm/friendly
+      }
+      console.log("[对口型] createLipsyncJob 请求:", payload)
+      const job = await createLipsyncJob(payload)
+      console.log("[对口型] createLipsyncJob 响应:", { id: job.id, status: job.status })
       state.setLipsyncJob(job)
       // 开始轮询
       if (lipsyncTimerRef.current) clearInterval(lipsyncTimerRef.current)
@@ -54,62 +149,208 @@ const AiAvatarPage: React.FC = () => {
         try {
           const updated = await getLipsyncJob(job.id)
           state.setLipsyncJob(updated)
-          if (updated.status === "completed" || updated.status === "failed") {
+          console.log("[对口型] 轮询状态:", {
+            id: updated.id,
+            status: updated.status,
+            error: updated.error_message,
+          })
+          if (updated.status === "completed") {
             if (lipsyncTimerRef.current) clearInterval(lipsyncTimerRef.current)
+            setLipsyncStatus("completed")
+            setTimeout(() => {
+              setShowLipsyncModal(false)
+              message.success("对口型视频生成完成")
+            }, 1000)
+          } else if (updated.status === "failed") {
+            if (lipsyncTimerRef.current) clearInterval(lipsyncTimerRef.current)
+            setLipsyncStatus("failed")
+            setLipsyncErrorMessage(updated.error_message || "对口型生成失败")
           }
-        } catch {
-          // 忽略轮询错误
+        } catch (err) {
+          console.error("[对口型] 轮询错误:", err)
         }
       }, 3000)
     } catch (err) {
-      console.error("对口型任务创建失败:", err)
+      console.error("[对口型] 创建失败:", {
+        status: (err as { response?: { status?: number } })?.response?.status,
+        data: (err as { response?: { data?: unknown } })?.response?.data,
+        message: err instanceof Error ? err.message : String(err),
+      })
+      setShowLipsyncModal(false)
+      message.error(err instanceof Error ? err.message : "对口型任务提交失败，请重试")
     }
     // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [state.selectedVideo, state.selectedVoice, state.scriptText])
+  }, [state.selectedVideo, state.selectedVoice, state.scriptText, state.speed, state.emotion])
+
+  // 取消对口型生成
+  const handleCancelLipsync = useCallback(() => {
+    if (lipsyncTimerRef.current) {
+      clearInterval(lipsyncTimerRef.current)
+      lipsyncTimerRef.current = null
+    }
+    setShowLipsyncModal(false)
+    setLipsyncStatus("generating")
+    setLipsyncErrorMessage("")
+  }, [])
 
   // 清理轮询
   useEffect(() => {
     return () => {
       if (lipsyncTimerRef.current) clearInterval(lipsyncTimerRef.current)
+      if (renderTimerRef.current) clearInterval(renderTimerRef.current)
     }
   }, [])
 
-  /* ── 加载 B-roll 素材 ── */
-  useEffect(() => {
-    getAssetsByKind("video", { limit: 50 })
-      .then(setBRollAssets)
-      .catch(() => {})
-  }, [])
-
-  /* ── 生成视频 ── */
+  /* ── 生成视频（含实时进度轮询） ── */
   const handleGenerate = useCallback(async () => {
-    if (!state.lipsyncJob || state.lipsyncJob.status !== "completed") return
+    if (!state.lipsyncJob || state.lipsyncJob.status !== "completed") {
+      message.warning("请先生成对口型视频，待对口型完成后再提交渲染")
+      return
+    }
     state.setIsGenerating(true)
     try {
-      await submitRender({
+      // 确保有 project_id（AI数字人入口独立，不在项目内，自动取默认项目；#1860 P0 bugfix）
+      const defaultProject = await getOrCreateDefaultProject()
+
+      // 用 Canvas 预渲染标题为 PNG dataURL（所见即所得，后端用 overlay 直接叠加）
+      let titleImageDataUrl: string | null = null
+      if (state.titleConfig.title?.trim()) {
+        try {
+          const res = await getVideoResolution(state.lipsyncJob.output_video_url || "")
+          titleImageDataUrl = renderTitleToPngDataUrl({
+            titleConfig: state.titleConfig,
+            videoWidth: res.width,
+            videoHeight: res.height,
+          })
+        } catch (canvasErr) {
+          console.warn("[渲染] 标题 Canvas 渲染失败，降级 drawtext:", canvasErr)
+          titleImageDataUrl = null
+        }
+      }
+
+      const job = await submitRender({
         lipsync_job_id: state.lipsyncJob.id,
         script_id: state.script?.id,
-        b_roll_segments: state.bRollSegments as never,
-        title_config: state.titleConfig as unknown as Record<string, unknown>,
-        cover_config: state.coverConfig as unknown as Record<string, unknown>,
-        resolution: state.resolution,
+        project_id: defaultProject.id,
+        b_roll_segments: state.bRollSegments.map((seg) => ({
+          script_segment_index: seg.script_segment_index,
+          asset_url: seg.asset.file_url || "",
+          mode: seg.mode,
+          start_time: seg.start_time,
+          end_time: seg.end_time,
+          pip_position: seg.pip_position,
+          pip_scale: seg.pip_scale,
+        })) as never,
+        title_config: buildTitleConfigPayload(state.titleConfig, titleImageDataUrl),
+        // 封面不阻塞渲染：用户未选定封面时传空 dict，后端不生成封面；渲染完成后再单独抽帧
+        cover_config:
+          state.coverConfig.smart_cover_url ||
+          (state.coverConfig.upload_url && !state.coverConfig.upload_url.startsWith("blob:"))
+            ? buildCoverConfigPayload(state.coverConfig, state.coverConfig.smart_cover_url)
+            : {},
       })
+
+      // 打开渲染进度弹窗，启动轮询
+      setShowRenderModal(true)
+      setRenderStatus("generating")
+      setRenderProgress(job.progress ?? 0)
+      setRenderErrorMessage("")
+      setCurrentRenderJob(job as RenderJob)
+
+      if (renderTimerRef.current) clearInterval(renderTimerRef.current)
+      renderTimerRef.current = setInterval(async () => {
+        try {
+          const updated = await getRenderJob(job.id)
+          setRenderProgress(updated.progress ?? 0)
+          setCurrentRenderJob(updated)
+          if (updated.status === "completed") {
+            if (renderTimerRef.current) clearInterval(renderTimerRef.current)
+            renderTimerRef.current = null
+            setRenderStatus("completed")
+            // 渲染完成后：如果后端已返回封面（用户预上传/预设）则同步到前端；
+            // 否则不自动设置封面，由用户在封面区点击"智能获取封面"主动抽帧（步骤③④）
+            if (updated.output_cover_url) {
+              state.setCoverConfig((prev) => ({
+                ...prev,
+                mode: "auto_frame",
+                smart_cover_url: updated.output_cover_url,
+                thumbnail_url: updated.output_cover_url,
+              }))
+            }
+            message.success("视频已生成并保存到成片库")
+          } else if (updated.status === "failed") {
+            if (renderTimerRef.current) clearInterval(renderTimerRef.current)
+            renderTimerRef.current = null
+            setRenderStatus("failed")
+            setRenderErrorMessage(updated.error_message || "渲染失败，请重试")
+          }
+        } catch (pollErr) {
+          console.error("[渲染] 轮询失败:", pollErr)
+        }
+      }, 3000)
     } catch (err) {
       console.error("渲染任务提交失败:", err)
+      message.error(err instanceof Error ? err.message : "渲染任务提交失败，请重试")
     } finally {
       state.setIsGenerating(false)
     }
     // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [
-    state.lipsyncJob,
-    state.script,
-    state.bRollSegments,
-    state.titleConfig,
-    state.coverConfig,
-    state.resolution,
-  ])
+  }, [state.lipsyncJob, state.script, state.bRollSegments, state.titleConfig, state.coverConfig])
+
+  /* ── 关闭渲染进度弹窗 ── */
+  const handleCancelRender = useCallback(() => {
+    if (renderTimerRef.current) {
+      clearInterval(renderTimerRef.current)
+      renderTimerRef.current = null
+    }
+    setShowRenderModal(false)
+    setRenderStatus("generating")
+    setRenderProgress(0)
+    setRenderErrorMessage("")
+  }, [])
+
+  /* ── 智能封面：从最终渲染成片抽帧（POST /renders/{id}/smart-cover，步骤③④） ── */
+  const handleGenerateRenderSmartCover = useCallback(
+    async (renderId: string): Promise<{ cover_url: string; message?: string }> => {
+      try {
+        const res = await generateRenderSmartCover(renderId)
+        if (res.cover_url) {
+          state.setCoverConfig((prev) => ({
+            ...prev,
+            mode: "auto_frame",
+            smart_cover_url: res.cover_url,
+            thumbnail_url: res.cover_url,
+          }))
+          message.success("智能封面已生成")
+          return { cover_url: res.cover_url }
+        }
+        const errMsg = res.message || "智能封面生成失败，请稍后重试"
+        message.error(errMsg)
+        return { cover_url: "", message: errMsg }
+      } catch (err) {
+        console.error("智能封面生成失败:", err)
+        const errMsg = err instanceof Error ? err.message : "智能封面生成失败，请重试"
+        message.error(errMsg)
+        return { cover_url: "", message: errMsg }
+      }
+    },
+    // state.setCoverConfig 是 zustand action 引用稳定，eslint 不需要检查
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+    [],
+  )
 
   /* ── 配置汇总 ── */
+  const coverStatus: "not_ready" | "pending" | "selected" = (() => {
+    if (
+      state.coverConfig.smart_cover_url ||
+      state.coverConfig.thumbnail_url ||
+      (state.coverConfig.upload_url && !state.coverConfig.upload_url.startsWith("blob:"))
+    ) {
+      return "selected"
+    }
+    if (currentRenderJob?.status === "completed") return "pending"
+    return "not_ready"
+  })()
   const summary = {
     videoName: state.selectedVideo?.name || null,
     voiceName: state.selectedVoice?.name || null,
@@ -117,7 +358,7 @@ const AiAvatarPage: React.FC = () => {
     lipsyncStatus: state.lipsyncJob?.status || null,
     brollCount: state.bRollSegments.length,
     hasTitle: state.titleConfig.title.length > 0,
-    hasCover: state.coverConfig.enabled,
+    coverStatus,
   }
 
   return (
@@ -125,95 +366,146 @@ const AiAvatarPage: React.FC = () => {
       <div className="aa-page-header">
         <h1>AI数字人</h1>
       </div>
+
+      {/* 步骤切换导航条 */}
+      <div className="aa-step-nav">
+        <span className={`aa-step-nav__item${currentStep === 1 ? " active" : ""}`}>
+          1. 视频 / 配音 / 文案
+        </span>
+        <span className={`aa-step-nav__item${currentStep === 2 ? " active" : ""}`}>
+          2. 对口型 / 标题 / 封面 / 生成
+        </span>
+      </div>
+
       <div className="aa-page-body">
-        {/* 面板1：出镜视频 */}
-        <div className={`aa-panel aa-panel--p1${collapsed.video ? " collapsed" : ""}`}>
-          <div className="aa-panel__header" onClick={() => togglePanel("video")}>
-            <span className="aa-panel__title">出镜视频</span>
-            <span className="aa-panel__toggle">▼</span>
-          </div>
-          <div className="aa-panel__body">
-            <PanelVideoSelector
-              selectedVideo={state.selectedVideo}
-              onSelectVideo={() => state.setShowAssetPicker(true)}
-              onRemoveVideo={state.removeVideo}
-            />
-          </div>
-        </div>
+        {/* ════ 步骤 1：出镜视频 / 配音库 / 文案 ════ */}
+        {currentStep === 1 && (
+          <>
+            {/* 面板1：出镜视频 */}
+            <div className={`aa-panel aa-panel--s1${collapsed.video ? " collapsed" : ""}`}>
+              <div className="aa-panel__header" onClick={() => togglePanel("video")}>
+                <span className="aa-panel__title">出镜视频</span>
+                <span className="aa-panel__toggle">▼</span>
+              </div>
+              <div className="aa-panel__body">
+                <PanelVideoSelector
+                  selectedVideo={state.selectedVideo}
+                  onSelectVideo={() => state.setShowAssetPicker(true)}
+                  onRemoveVideo={state.removeVideo}
+                />
+              </div>
+            </div>
 
-        {/* 面板2：配音库 */}
-        <div className={`aa-panel aa-panel--p2${collapsed.voice ? " collapsed" : ""}`}>
-          <div className="aa-panel__header" onClick={() => togglePanel("voice")}>
-            <span className="aa-panel__title">配音库</span>
-            <span className="aa-panel__toggle">▼</span>
-          </div>
-          <div className="aa-panel__body">
-            <PanelVoiceSelector
-              voiceSource={state.voiceSource}
-              onVoiceSourceChange={state.setVoiceSource}
-              selectedVoice={state.selectedVoice}
-              onSelectVoice={state.setSelectedVoice}
-              emotion={state.emotion}
-              onEmotionChange={state.setEmotion}
-              speed={state.speed}
-              onSpeedChange={state.setSpeed}
-              language={state.language}
-              onLanguageChange={state.setLanguage}
-            />
-          </div>
-        </div>
+            {/* 面板2：配音库 */}
+            <div className={`aa-panel aa-panel--s1${collapsed.voice ? " collapsed" : ""}`}>
+              <div className="aa-panel__header" onClick={() => togglePanel("voice")}>
+                <span className="aa-panel__title">配音库</span>
+                <span className="aa-panel__toggle">▼</span>
+              </div>
+              <div className="aa-panel__body">
+                <PanelVoiceSelector
+                  voiceSource={state.voiceSource}
+                  onVoiceSourceChange={state.setVoiceSource}
+                  selectedVoice={state.selectedVoice}
+                  onSelectVoice={state.setSelectedVoice}
+                  emotion={state.emotion}
+                  onEmotionChange={state.setEmotion}
+                  speed={state.speed}
+                  onSpeedChange={state.setSpeed}
+                  language={state.language}
+                  onLanguageChange={state.setLanguage}
+                />
+              </div>
+            </div>
 
-        {/* 面板3：文案 & 对口型 */}
-        <div className={`aa-panel aa-panel--p3${collapsed.script ? " collapsed" : ""}`}>
-          <div className="aa-panel__header" onClick={() => togglePanel("script")}>
-            <span className="aa-panel__title">文案 & 对口型</span>
-            <span className="aa-panel__toggle">▼</span>
-          </div>
-          <div className="aa-panel__body">
-            <PanelScriptAndLipsync
-              scriptText={state.scriptText}
-              onScriptTextChange={state.setScriptText}
-              onOpenScriptModal={() => state.setShowScriptModal(true)}
-              lipsyncJob={state.lipsyncJob}
-              onGenerateLipsync={handleGenerateLipsync}
-              bRollSegments={state.bRollSegments}
-              onOpenBRollModal={() => state.setShowBRollModal(true)}
-              onRemoveBRoll={state.removeBRollSegment}
-            />
-          </div>
-        </div>
+            {/* 面板3：文案 */}
+            <div className={`aa-panel aa-panel--s1-wide${collapsed.script ? " collapsed" : ""}`}>
+              <div className="aa-panel__header" onClick={() => togglePanel("script")}>
+                <span className="aa-panel__title">文案 & 对口型</span>
+                <span className="aa-panel__toggle">▼</span>
+              </div>
+              <div className="aa-panel__body">
+                <PanelScript
+                  scriptText={state.scriptText}
+                  onScriptTextChange={state.setScriptText}
+                  onOpenScriptModal={() => state.setShowScriptModal(true)}
+                />
+                <div className="aa-step-btn-row">
+                  <button type="button" className="aa-btn aa-btn--primary" onClick={handleNextStep}>
+                    下一步 →
+                  </button>
+                </div>
+              </div>
+            </div>
+          </>
+        )}
 
-        {/* 面板4：标题配置 */}
-        <div className={`aa-panel aa-panel--p4${collapsed.title ? " collapsed" : ""}`}>
-          <div className="aa-panel__header" onClick={() => togglePanel("title")}>
-            <span className="aa-panel__title">标题配置</span>
-            <span className="aa-panel__toggle">▼</span>
-          </div>
-          <div className="aa-panel__body">
-            <PanelTitleConfig titleConfig={state.titleConfig} onUpdate={state.updateTitleConfig} />
-          </div>
-        </div>
+        {/* ════ 步骤 2：对口型预览（含插入画面）/ 标题配置 / 封面&生成 ════ */}
+        {currentStep === 2 && (
+          <>
+            {/* 面板：对口型预览 + 插入画面 */}
+            <div className={`aa-panel aa-panel--s2-wide${collapsed.lipsync ? " collapsed" : ""}`}>
+              <div className="aa-panel__header" onClick={() => togglePanel("lipsync")}>
+                <span className="aa-panel__title">对口型预览</span>
+                <span className="aa-panel__toggle">▼</span>
+              </div>
+              <div className="aa-panel__body">
+                <PanelLipsyncPreview
+                  lipsyncJob={state.lipsyncJob}
+                  onGenerateLipsync={handleGenerateLipsync}
+                  bRollSegments={state.bRollSegments}
+                  onOpenBRollModal={() => state.setShowBRollModal(true)}
+                  onRemoveBRoll={state.removeBRollSegment}
+                  titleConfig={state.titleConfig}
+                  onTitlePositionChange={(pos) => state.updateTitleConfig(pos)}
+                />
+                <div className="aa-step-btn-row">
+                  <button type="button" className="aa-btn" onClick={handlePrevStep}>
+                    ← 上一步
+                  </button>
+                </div>
+              </div>
+            </div>
 
-        {/* 面板5：封面 & 生成 */}
-        <div className={`aa-panel aa-panel--p5${collapsed.cover ? " collapsed" : ""}`}>
-          <div className="aa-panel__header" onClick={() => togglePanel("cover")}>
-            <span className="aa-panel__title">封面 & 生成</span>
-            <span className="aa-panel__toggle">▼</span>
-          </div>
-          <div className="aa-panel__body">
-            <PanelCoverAndGenerate
-              coverConfig={state.coverConfig}
-              onCoverConfigChange={(partial) =>
-                state.setCoverConfig((prev) => ({ ...prev, ...partial }))
-              }
-              resolution={state.resolution}
-              onResolutionChange={state.setResolution}
-              isGenerating={state.isGenerating}
-              onGenerate={handleGenerate}
-              summary={summary}
-            />
-          </div>
-        </div>
+            {/* 面板4：标题配置 */}
+            <div className={`aa-panel aa-panel--s2${collapsed.title ? " collapsed" : ""}`}>
+              <div className="aa-panel__header" onClick={() => togglePanel("title")}>
+                <span className="aa-panel__title">标题配置</span>
+                <span className="aa-panel__toggle">▼</span>
+              </div>
+              <div className="aa-panel__body">
+                <PanelTitleConfig
+                  titleConfig={state.titleConfig}
+                  onUpdate={state.updateTitleConfig}
+                />
+              </div>
+            </div>
+
+            {/* 面板5：封面 & 生成 */}
+            <div className={`aa-panel aa-panel--s2${collapsed.cover ? " collapsed" : ""}`}>
+              <div className="aa-panel__header" onClick={() => togglePanel("cover")}>
+                <span className="aa-panel__title">封面 & 生成</span>
+                <span className="aa-panel__toggle">▼</span>
+              </div>
+              <div className="aa-panel__body">
+                <PanelCoverAndGenerate
+                  coverConfig={state.coverConfig}
+                  onCoverConfigChange={(partial) =>
+                    state.setCoverConfig((prev) => ({ ...prev, ...partial }))
+                  }
+                  titleConfig={state.titleConfig}
+                  renderJob={currentRenderJob}
+                  onGenerateRenderSmartCover={handleGenerateRenderSmartCover}
+                  resolution={state.resolution}
+                  onResolutionChange={state.setResolution}
+                  isGenerating={state.isGenerating}
+                  onGenerate={handleGenerate}
+                  summary={summary}
+                />
+              </div>
+            </div>
+          </>
+        )}
       </div>
 
       {/* 素材库弹窗 */}
@@ -241,11 +533,187 @@ const AiAvatarPage: React.FC = () => {
           open={state.showBRollModal}
           onClose={() => state.setShowBRollModal(false)}
           existingSegments={state.bRollSegments}
-          availableAssets={bRollAssets}
+          scriptText={state.lipsyncJob?.script_text || state.scriptText}
+          outputDuration={state.lipsyncJob?.output_duration ?? 0}
+          sentenceTimings={state.lipsyncJob?.sentence_timings}
           onConfirm={state.addBRollSegment}
           onRemove={state.removeBRollSegment}
         />
       )}
+
+      {/* 对口型生成弹窗 */}
+      {showLipsyncModal && (
+        <div className="aa-modal-overlay">
+          <div className="aa-modal" onClick={(e) => e.stopPropagation()}>
+            <div className="aa-modal__header">
+              <span className="aa-modal__title">对口型生成</span>
+              <button className="aa-modal__close" onClick={handleCancelLipsync}>
+                ✕
+              </button>
+            </div>
+            <div
+              className="aa-modal__body"
+              style={{
+                display: "flex",
+                flexDirection: "column",
+                alignItems: "center",
+                padding: "40px 20px",
+              }}
+            >
+              {lipsyncStatus === "generating" && (
+                <>
+                  <div className="aa-lipsync-spinner" />
+                  <div style={{ marginTop: 20, fontSize: 15, color: "#1a1a2e" }}>
+                    对口型视频生成中…
+                  </div>
+                  <div style={{ marginTop: 8, fontSize: 13, color: "#8c8ca1" }}>
+                    请勿关闭页面，完成后将自动提示
+                  </div>
+                </>
+              )}
+              {lipsyncStatus === "completed" && (
+                <>
+                  <div style={{ fontSize: 48 }}>✅</div>
+                  <div style={{ marginTop: 16, fontSize: 15, color: "#1a1a2e" }}>
+                    对口型视频生成完成
+                  </div>
+                </>
+              )}
+              {lipsyncStatus === "failed" && (
+                <>
+                  <div style={{ fontSize: 48 }}>❌</div>
+                  <div style={{ marginTop: 16, fontSize: 15, color: "#1a1a2e" }}>
+                    对口型生成失败
+                  </div>
+                  {lipsyncErrorMessage && (
+                    <div style={{ marginTop: 8, fontSize: 13, color: "#ff4d4f" }}>
+                      {lipsyncErrorMessage}
+                    </div>
+                  )}
+                </>
+              )}
+            </div>
+            <div className="aa-modal__footer">
+              {lipsyncStatus === "generating" && (
+                <button className="aa-btn aa-btn--danger" onClick={handleCancelLipsync}>
+                  取消生成
+                </button>
+              )}
+              {lipsyncStatus !== "generating" && (
+                <button className="aa-btn" onClick={handleCancelLipsync}>
+                  关闭
+                </button>
+              )}
+            </div>
+          </div>
+        </div>
+      )}
+
+      {/* 渲染进度弹窗 */}
+      {showRenderModal && (
+        <div className="aa-modal-overlay">
+          <div className="aa-modal" onClick={(e) => e.stopPropagation()}>
+            <div className="aa-modal__header">
+              <span className="aa-modal__title">视频渲染</span>
+              <button className="aa-modal__close" onClick={handleCancelRender}>
+                ✕
+              </button>
+            </div>
+            <div
+              className="aa-modal__body"
+              style={{
+                display: "flex",
+                flexDirection: "column",
+                alignItems: "center",
+                padding: "40px 20px",
+              }}
+            >
+              {renderStatus === "generating" && (
+                <>
+                  <div className="aa-lipsync-spinner" />
+                  <div style={{ marginTop: 20, fontSize: 15, color: "#1a1a2e" }}>
+                    正在生成视频，请稍后
+                  </div>
+                  <div
+                    style={{
+                      marginTop: 16,
+                      fontSize: 32,
+                      fontWeight: 700,
+                      color: "#1890ff",
+                    }}
+                  >
+                    {renderProgress}%
+                  </div>
+                  <div
+                    style={{
+                      marginTop: 12,
+                      width: "80%",
+                      height: 8,
+                      backgroundColor: "#f0f0f0",
+                      borderRadius: 4,
+                      overflow: "hidden",
+                    }}
+                  >
+                    <div
+                      style={{
+                        width: `${renderProgress}%`,
+                        height: "100%",
+                        backgroundColor: "#1890ff",
+                        borderRadius: 4,
+                        transition: "width 0.5s ease",
+                      }}
+                    />
+                  </div>
+                  <div style={{ marginTop: 12, fontSize: 13, color: "#8c8ca1" }}>
+                    请勿关闭页面，完成后将自动提示
+                  </div>
+                </>
+              )}
+              {renderStatus === "completed" && (
+                <>
+                  <div style={{ fontSize: 48 }}>✅</div>
+                  <div style={{ marginTop: 16, fontSize: 15, color: "#1a1a2e" }}>
+                    视频已保存到成片库
+                  </div>
+                  <button
+                    className="aa-btn"
+                    style={{ marginTop: 16 }}
+                    onClick={() => {
+                      setShowRenderModal(false)
+                      navigate("/app/products")
+                    }}
+                  >
+                    📁 查看成片
+                  </button>
+                </>
+              )}
+              {renderStatus === "failed" && (
+                <>
+                  <div style={{ fontSize: 48 }}>❌</div>
+                  <div style={{ marginTop: 16, fontSize: 15, color: "#1a1a2e" }}>视频渲染失败</div>
+                  {renderErrorMessage && (
+                    <div style={{ marginTop: 8, fontSize: 13, color: "#ff4d4f" }}>
+                      {renderErrorMessage}
+                    </div>
+                  )}
+                </>
+              )}
+            </div>
+            <div className="aa-modal__footer">
+              {renderStatus === "generating" && (
+                <button className="aa-btn aa-btn--danger" onClick={handleCancelRender}>
+                  关闭窗口
+                </button>
+              )}
+              {renderStatus !== "generating" && (
+                <button className="aa-btn" onClick={handleCancelRender}>
+                  关闭
+                </button>
+              )}
+            </div>
+          </div>
+        </div>
+      )}
     </div>
   )
 }
@@ -264,8 +732,8 @@ const ScriptSelectModalLazy: React.FC<{
     if (!open) return
     setLoading(true)
     getScripts()
-      .then(setScripts)
-      .catch(() => {})
+      .then((items) => setScripts(Array.isArray(items) ? items : []))
+      .catch(() => setScripts([]))
       .finally(() => setLoading(false))
   }, [open])
 

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

@@ -1,13 +1,17 @@
 /**
- * AI数字人 — API 封装
+ * AI数字人 — API 封装（#1822 契约对齐）
  */
 import apiClient from "@/api/client"
 import type { Script, LipsyncJob, RenderJob, BRollSegment } from "../types"
 
 /* ── 文案库 ── */
 export const getScripts = async (): Promise<Script[]> => {
-  const response = await apiClient.get<Script[]>("/scripts")
-  return response.data
+  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> => {
@@ -24,18 +28,33 @@ export const deleteScript = async (id: string): Promise<void> => {
   await apiClient.delete(`/scripts/${id}`)
 }
 
-/* ── 对口型 ── */
+/* ── 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（模式A：TTS 直生，后端内部合成音频；不要先调 TTS 拿 audio_url） ── */
 export const createLipsyncJob = async (data: {
+  /** 人物视频 URL（MP4）；由素材 id 经 getAssetById 拿 file_url，禁止传 video_asset_id */
+  video_url: string
+  /** 音色 ID（预置音色 或 克隆音色 profile UUID，后端会解析） */
   voice_id: string
+  /** 要合成的文案（手动输入或文案库内容） */
   script_text: string
-  video_asset_id: string
+  /** 语速 0.5~2.0，默认 1.0 */
+  speed?: number
+  /** 情绪英文枚举：natural/excited/calm/friendly */
+  emotion?: string
+  enable_video_loop?: boolean
+  project_id?: string
 }): Promise<LipsyncJob> => {
   const response = await apiClient.post<LipsyncJob>("/lipsync/jobs", data)
   return response.data
 }
 
 export const getLipsyncJob = async (id: string): Promise<LipsyncJob> => {
-  const response = await apiClient.get<LipsyncJob>(`/lipsync/jobs/${id}`)
+  const response = await apiClient.get<LipsyncJob>(`/lipsync/jobs/${id}`, { timeout: 60000 })
   return response.data
 }
 
@@ -47,17 +66,30 @@ export const submitRender = async (data: {
   title_config?: Record<string, unknown>
   cover_config?: Record<string, unknown>
   project_id?: string
-  resolution?: 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/${jobId}`)
+  const response = await apiClient.get<RenderJob>(`/ai-avatar/render/${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
+}

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

@@ -1,13 +1,10 @@
 /**
- * AI数字人 — 素材库弹窗
- * 搜索框 + 类型筛选（全部/视频/图片）+ 4 列竖屏 9:16 缩略图网格 + 底部确认选择
+ * 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 { ensureDefaultLibrary, getAssetsByKind, type AssetItem } from "@/api/assets"
-import { getOrCreateDefaultProject } from "@/api/projects"
-
-/** 素材类型筛选 */
-type AssetKindFilter = "all" | "video" | "image"
+import { getAssets, getAssetLibraries, type AssetItem, type AssetLibraryItem } from "@/api/assets"
 
 export interface ModalAssetPickerProps {
   open: boolean
@@ -17,86 +14,76 @@ export interface ModalAssetPickerProps {
   selectedId?: string
 }
 
-const KIND_OPTIONS: { value: AssetKindFilter; label: string }[] = [
-  { value: "all", label: "全部" },
-  { value: "video", label: "视频" },
-  { value: "image", label: "图片" },
-]
-
 export function ModalAssetPicker({ open, onClose, onSelect, selectedId }: ModalAssetPickerProps) {
   const [keyword, setKeyword] = useState("")
-  const [kindFilter, setKindFilter] = useState<AssetKindFilter>("video")
+  const [libraries, setLibraries] = useState<AssetLibraryItem[]>([])
+  const [libraryId, setLibraryId] = useState<string>("")
   const [assets, setAssets] = useState<AssetItem[]>([])
   const [pickedId, setPickedId] = useState<string | null>(null)
-  const [loading, setLoading] = useState(false)
+  const [loadingLibs, setLoadingLibs] = useState(false)
+  const [loadingAssets, setLoadingAssets] = useState(false)
   const [error, setError] = useState("")
-  const [ready, setReady] = useState(false)
 
-  /* 弹窗打开：重置筛选 / 关键字，并定位高亮到已选素材 */
+  /* 弹窗打开：重置状态 */
   useEffect(() => {
     if (!open) return
     setKeyword("")
-    setKindFilter("video")
+    setLibraries([])
+    setLibraryId("")
     setAssets([])
     setError("")
     setPickedId(selectedId ?? null)
-    setReady(false)
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [open])
 
-  /* 确保默认素材库存在（视频 + 图片，供类型筛选），仅在弹窗打开时执行一次 */
+  /* 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
-    const ensureLibraries = async () => {
-      try {
-        const project = await getOrCreateDefaultProject()
-        await Promise.all([
-          ensureDefaultLibrary({ project_id: project.id, kind: "video" }),
-          ensureDefaultLibrary({ project_id: project.id, kind: "image" }),
-        ])
-        if (!cancelled) setReady(true)
-      } catch {
-        if (!cancelled) setError("素材库初始化失败，请重试")
-      }
-    }
-    ensureLibraries()
+    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])
 
-  /* 拉取素材：类型 / 关键字变化时防抖重新请求 */
+  /* 第二步：选中库后拉取该库视频素材（关键字防抖） */
   useEffect(() => {
-    if (!open || !ready) return
+    if (!open || !libraryId) return
     let cancelled = false
-    setLoading(true)
+    setLoadingAssets(true)
     const load = async () => {
       try {
-        const kw = keyword.trim() || undefined
-        let items: AssetItem[] = []
-        if (kindFilter === "all") {
-          const [videos, images] = await Promise.all([
-            getAssetsByKind("video", { keyword: kw }),
-            getAssetsByKind("image", { keyword: kw }),
-          ])
-          const seen = new Set<string>()
-          items = [...videos, ...images].filter((a) => {
-            if (seen.has(a.id)) return false
-            seen.add(a.id)
-            return true
-          })
-        } else {
-          items = await getAssetsByKind(kindFilter, { keyword: kw })
-        }
-        if (!cancelled) setAssets(items)
+        // 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) setLoading(false)
+        if (!cancelled) setLoadingAssets(false)
       }
     }
     const timer = window.setTimeout(load, 300)
@@ -104,7 +91,7 @@ export function ModalAssetPicker({ open, onClose, onSelect, selectedId }: ModalA
       cancelled = true
       window.clearTimeout(timer)
     }
-  }, [open, ready, kindFilter, keyword])
+  }, [open, libraryId, keyword])
 
   if (!open) return null
 
@@ -120,15 +107,33 @@ export function ModalAssetPicker({ open, onClose, onSelect, selectedId }: ModalA
       <div className="aa-modal" onClick={(e) => e.stopPropagation()}>
         {/* 头部 */}
         <div className="aa-modal__header">
-          <span className="aa-modal__title">选择素材</span>
+          <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：搜索 + 筛选 + 网格 */}
+        {/* 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"
@@ -136,21 +141,14 @@ export function ModalAssetPicker({ open, onClose, onSelect, selectedId }: ModalA
               value={keyword}
               onChange={(e) => setKeyword(e.target.value)}
             />
-            <select
-              className="aa-select"
-              style={{ width: 110, flex: "0 0 auto" }}
-              value={kindFilter}
-              onChange={(e) => setKindFilter(e.target.value as AssetKindFilter)}
-            >
-              {KIND_OPTIONS.map((opt) => (
-                <option key={opt.value} value={opt.value}>
-                  {opt.label}
-                </option>
-              ))}
-            </select>
           </div>
 
-          {loading ? (
+          {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…
@@ -162,8 +160,8 @@ export function ModalAssetPicker({ open, onClose, onSelect, selectedId }: ModalA
             </div>
           ) : assets.length === 0 ? (
             <div className="aa-empty">
-              <div className="aa-empty__icon">📁</div>
-              暂无素材
+              <div className="aa-empty__icon">🎬</div>
+              该素材库暂无视频素材
             </div>
           ) : (
             <div className="aa-asset-grid">

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

@@ -1,23 +1,29 @@
 /**
- * AI数字人 — B-roll 画面插入编辑器弹窗
+ * AI数字人 — B-roll 画面插入编辑器弹窗（#1809 ④⑤⑥）
  *
  * 布局：
- * - 左侧：可用素材网格（已被其他 segment 使用的素材标灰 + "已选择" 遮罩，
- *   pointer-events: none 防止重复选择同一段素材）
- * - 右侧：插入设置（文案段落索引 / 全屏 or 画中画 / 画中画四角位置 + 大小 / 起止时间）
- * - 底部：已配置的画面插入列表（可删除）+ 上传新素材入口
+ * - 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, { useMemo, useState } from "react"
-import type { AssetItem } from "@/api/assets"
-import type { BRollSegment, BRollInsertMode, PipPosition } from "../types"
+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[]
-  /** 所有可用素材 */
-  availableAssets: AssetItem[]
+  /** 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
 }
@@ -38,18 +44,32 @@ const ModalBRollEditor: React.FC<ModalBRollEditorProps> = ({
   open,
   onClose,
   existingSegments,
-  availableAssets,
+  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 [scriptSegmentIndex, setScriptSegmentIndex] = useState(0)
+  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)
-  const [startTime, setStartTime] = useState(0)
-  const [endTime, setEndTime] = useState(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(
@@ -57,25 +77,83 @@ const ModalBRollEditor: React.FC<ModalBRollEditorProps> = ({
     [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)
-    // 默认起止时间：素材时长的前 3 秒（或整段）
-    const dur = asset.duration ?? 3
-    setEndTime(Math.min(3, dur))
   }
 
-  /** 确认添加一段 B-roll */
+  /** 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) return
-    if (endTime <= startTime) return
+    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: scriptSegmentIndex,
+      script_segment_index: selectedSentence.index,
       start_time: startTime,
       end_time: endTime,
       mode,
@@ -83,15 +161,16 @@ const ModalBRollEditor: React.FC<ModalBRollEditorProps> = ({
       pip_scale: mode === "pip" ? pipScale : 0.3,
     }
     onConfirm(segment)
-    // 重置选择，保留设置便于连续添加
+    // 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 && endTime > startTime
+  const canConfirm = selectedAsset !== null && selectedSentence !== null
 
   return (
     <div className="aa-modal-overlay" onClick={onClose}>
-      <div className="aa-modal" onClick={(e) => e.stopPropagation()}>
+      <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>
@@ -103,22 +182,25 @@ const ModalBRollEditor: React.FC<ModalBRollEditorProps> = ({
         {/* 主体：左素材 + 右设置 */}
         <div className="aa-modal__body">
           <div className="aa-broll-modal-body">
-            {/* 左侧：素材网格 */}
+            {/* 左侧：选库 + 素材网格 */}
             <div className="aa-broll-left">
-              <div
-                style={{
-                  display: "flex",
-                  alignItems: "center",
-                  justifyContent: "space-between",
-                  marginBottom: 10,
-                }}
-              >
-                <span style={{ fontSize: 13, fontWeight: 600, color: "#1a1a2e" }}>
-                  选择素材（{availableAssets.length}）
-                </span>
-                <button type="button" className="aa-btn aa-btn--ghost aa-btn-sm">
-                  ⬆️ 上传新素材
-                </button>
+              <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) => {
@@ -141,45 +223,58 @@ const ModalBRollEditor: React.FC<ModalBRollEditorProps> = ({
                       {asset.thumbnail_url ? (
                         <img src={asset.thumbnail_url} alt={asset.name} />
                       ) : (
-                        <div
-                          style={{
-                            width: "100%",
-                            height: "100%",
-                            display: "flex",
-                            alignItems: "center",
-                            justifyContent: "center",
-                            fontSize: 18,
-                          }}
-                        >
-                          🎬
-                        </div>
+                        <div className="aa-broll-asset-placeholder">🎬</div>
                       )}
                       <span className="aa-asset-card__name">{asset.name}</span>
                     </div>
                   )
                 })}
-                {availableAssets.length === 0 && (
+                {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>
-                    暂无可用素材，请先上传视频素材
+                    {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">
-                {/* 文案段落索引 */}
+                {/* 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">文案段落索引</label>
-                  <input
-                    className="aa-input"
-                    type="number"
-                    min={0}
-                    value={scriptSegmentIndex}
-                    onChange={(e) => setScriptSegmentIndex(Math.max(0, Number(e.target.value)))}
-                  />
+                  <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 */}
@@ -224,10 +319,7 @@ const ModalBRollEditor: React.FC<ModalBRollEditorProps> = ({
                       </div>
                     </div>
                     <div className="aa-form-field">
-                      <div
-                        className="aa-field-label-row"
-                        style={{ display: "flex", justifyContent: "space-between" }}
-                      >
+                      <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)}%
@@ -246,41 +338,26 @@ const ModalBRollEditor: React.FC<ModalBRollEditorProps> = ({
                   </>
                 )}
 
-                {/* 起止时间 */}
-                <div className="aa-form-field">
-                  <label className="aa-label">开始时间（秒）</label>
-                  <input
-                    className="aa-input"
-                    type="number"
-                    min={0}
-                    step={0.1}
-                    value={startTime}
-                    onChange={(e) => setStartTime(Math.max(0, Number(e.target.value)))}
-                  />
-                </div>
-                <div className="aa-form-field">
-                  <label className="aa-label">结束时间（秒）</label>
-                  <input
-                    className="aa-input"
-                    type="number"
-                    min={0}
-                    step={0.1}
-                    value={endTime}
-                    onChange={(e) => setEndTime(Math.max(0, Number(e.target.value)))}
-                  />
-                </div>
-
-                {/* 当前选中素材提示 */}
-                <div
-                  style={{
-                    fontSize: 12,
-                    color: selectedAsset ? "#059669" : "#8c8ca1",
-                    background: "#f8f8fc",
-                    borderRadius: 6,
-                    padding: "6px 8px",
-                  }}
-                >
-                  {selectedAsset ? `已选素材：${selectedAsset.name}` : "请从左侧选择一段素材"}
+                {/* 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>
@@ -304,7 +381,7 @@ const ModalBRollEditor: React.FC<ModalBRollEditorProps> = ({
                   <div className="aa-broll-item__info">
                     <div style={{ fontWeight: 500, color: "#1a1a2e" }}>{seg.asset.name}</div>
                     <div style={{ color: "#8c8ca1", fontSize: 11 }}>
-                      段落 {seg.script_segment_index} · {MODE_LABEL[seg.mode]}
+                      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>

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

@@ -1,22 +1,30 @@
 /**
- * AI数字人 — 面板5：封面 & 生成
- * - 竖屏 9:16 封面预览（从视频截取 / 自定义上传）
- * - 分辨率选择（720p / 1080p / 4K）
- * - 配置汇总卡片（出镜视频/音色/文案/对口型/B-roll/标题/封面）
- * - 渐变紫色生成按钮
+ * AI数字人 — 面板5：分辨率/配置摘要/生成按钮/封面
+ * v3 调整（步骤③④）：
+ * - 布局顺序：分辨率 → 配置摘要卡片 → 🔘「开始生成视频」按钮 → （渲染完成后）封面区域
+ * - 渲染未完成时封面区域显示占位态，按钮 disabled
+ * - 「智能获取封面」从最终成片抽帧（调用 POST /renders/{id}/smart-cover），不再依赖 lipsync 状态
+ * - 修复点 2 次 bug：内部维护 smartCoverLoading，不依赖外层异步 state 更新
  *
  * 注意：v3 已删除"画面插入模式"，本面板不包含该选项。
  */
-import React, { useRef } from "react"
-import type { AiAvatarCoverConfig } from "../types"
+import React, { useMemo, useRef, useState } from "react"
+import type { AiAvatarCoverConfig, AiAvatarTitleConfig, RenderJob } from "../types"
 
 interface PanelCoverAndGenerateProps {
   coverConfig: AiAvatarCoverConfig
+  titleConfig: AiAvatarTitleConfig
   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
   /** 配置汇总信息 */
   summary: {
     videoName: string | null
@@ -25,7 +33,8 @@ interface PanelCoverAndGenerateProps {
     lipsyncStatus: string | null
     brollCount: number
     hasTitle: boolean
-    hasCover: 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"
   }
 }
 
@@ -43,16 +52,32 @@ const LIPSYNC_STATUS_LABEL: Record<string, { text: string; cls: string }> = {
   failed: { text: "失败", cls: "aa-status-badge--failed" },
 }
 
+/** 字体名 → CSS font-family 映射（与后端 drawtext 对齐） */
+const FONT_FAMILY_MAP: Record<string, string> = {
+  思源黑体: "'Noto Sans SC', 'Source Han Sans SC', '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"]
+
 const PanelCoverAndGenerate: React.FC<PanelCoverAndGenerateProps> = ({
   coverConfig,
+  titleConfig,
   onCoverConfigChange,
   resolution,
   onResolutionChange,
   isGenerating,
   onGenerate,
+  renderJob,
+  onGenerateRenderSmartCover,
+  onUploadCover,
   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 = () => {
@@ -62,57 +87,118 @@ const PanelCoverAndGenerate: React.FC<PanelCoverAndGenerateProps> = ({
   const handleFileChange = (e: React.ChangeEvent<HTMLInputElement>) => {
     const file = e.target.files?.[0]
     if (!file) return
-    // 本地预览：生成 object URL（实际上传由父级/后端链路处理）
-    const url = URL.createObjectURL(file)
-    onCoverConfigChange({ mode: "upload", upload_url: url, thumbnail_url: url })
-    // 允许重复选择同一文件
+    if (onUploadCover) {
+      onUploadCover(file)
+    } else {
+      // 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)
+      onCoverConfigChange({ mode: "upload", upload_url: url, thumbnail_url: url })
+    }
     e.target.value = ""
   }
 
-  /** 从视频截取（使用配置的帧时间，默认首帧） */
-  const handleCaptureFromVideo = () => {
-    onCoverConfigChange({ mode: "auto_frame" })
+  /** 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) {
+        onCoverConfigChange({
+          mode: "auto_frame",
+          smart_cover_url: res.cover_url,
+          thumbnail_url: res.cover_url,
+        })
+      } 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)
+
+  /** 是否显示标题叠加层：有图、有文字、非加载中 */
+  const showTitleOverlay =
+    hasCoverImage && !smartCoverLoading && titleConfig.title.trim().length > 0
+
+  /** 计算标题叠加层的 inline 样式 */
+  const titleOverlayStyle = useMemo<React.CSSProperties>(() => {
+    const style: React.CSSProperties = {
+      position: "absolute",
+      left: "50%",
+      width: "90%",
+      transform: "translateX(-50%)",
+      textAlign: "center",
+      boxSizing: "border-box",
+      padding: "0 4px",
+      wordBreak: "break-word",
+      whiteSpace: "pre-wrap",
+      color: titleConfig.color || "#ffffff",
+      fontSize: `${(titleConfig.size || 48) * 0.35}px`,
+      fontFamily: getFontFamily(titleConfig.font),
+      fontWeight: titleConfig.bold ? "bold" : "normal",
+      fontStyle: titleConfig.italic ? "italic" : "normal",
+      lineHeight: 1.3,
+      pointerEvents: "none",
+    }
+
+    const pos = titleConfig.position || "bottom"
+    if (pos === "top") {
+      style.top = "40px"
+    } else if (pos === "center") {
+      style.top = "50%"
+      style.transform = "translate(-50%, -50%)"
+    } else if (pos === "custom" && titleConfig.pos_x != null && titleConfig.pos_y != null) {
+      style.left = `${titleConfig.pos_x}%`
+      style.top = `${titleConfig.pos_y}%`
+      style.transform = "translate(-50%, -50%)"
+    } else {
+      style.bottom = "40px"
+    }
+
+    if (titleConfig.stroke) {
+      const strokeWidth = Math.max(1, Math.round(titleConfig.size / 18))
+      ;(style as React.CSSProperties)["WebkitTextStroke"] = `${strokeWidth}px rgba(0,0,0,0.75)`
+      style.textShadow = "none"
+    } else if (titleConfig.shadow) {
+      style.textShadow = "0 2px 8px rgba(0,0,0,0.7), 0 0 2px rgba(0,0,0,0.5)"
+    } else {
+      style.textShadow = "none"
+    }
+
+    return style
+  }, [titleConfig])
+
+  /** 封面区占位文字 */
+  const coverPlaceholder = isRenderCompleted ? "暂无封面" : "视频生成后可选择封面"
+
+  /** 封面摘要状态文本 */
+  const coverSummaryNode = (() => {
+    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>
+  })()
 
   return (
     <div className="aa-cover-generate">
-      {/* 封面预览（竖屏 9:16） */}
-      <div className="aa-cover-preview">
-        {coverConfig.thumbnail_url ? (
-          <img src={coverConfig.thumbnail_url} alt="封面预览" />
-        ) : (
-          <span className="aa-cover-preview__placeholder">暂无封面</span>
-        )}
-      </div>
-
-      <div className="aa-cover-actions">
-        <button
-          type="button"
-          className={`aa-btn aa-btn--ghost${coverConfig.mode === "auto_frame" ? " active" : ""}`}
-          onClick={handleCaptureFromVideo}
-        >
-          🎬 从视频截取
-        </button>
-        <button
-          type="button"
-          className={`aa-btn aa-btn--ghost${coverConfig.mode === "upload" ? " active" : ""}`}
-          onClick={handleUploadClick}
-        >
-          📷 自定义上传
-        </button>
-        <input
-          ref={uploadInputRef}
-          type="file"
-          accept="image/*"
-          style={{ display: "none" }}
-          onChange={handleFileChange}
-        />
-      </div>
-
       {/* 分辨率选择 */}
       <div className="aa-form-field">
         <label className="aa-label">分辨率</label>
@@ -120,6 +206,7 @@ const PanelCoverAndGenerate: React.FC<PanelCoverAndGenerateProps> = ({
           className="aa-select"
           value={resolution}
           onChange={(e) => onResolutionChange(e.target.value)}
+          disabled={isGenerating}
         >
           {RESOLUTION_OPTIONS.map((opt) => (
             <option key={opt.value} value={opt.value}>
@@ -180,11 +267,7 @@ const PanelCoverAndGenerate: React.FC<PanelCoverAndGenerateProps> = ({
           </div>
           <div className="aa-config-summary__row">
             <span>封面</span>
-            {summary.hasCover ? (
-              <span className="aa-config-summary__value">已开启</span>
-            ) : (
-              <span className="aa-config-summary__empty">未配置</span>
-            )}
+            {coverSummaryNode}
           </div>
         </div>
 
@@ -202,6 +285,60 @@ const PanelCoverAndGenerate: React.FC<PanelCoverAndGenerateProps> = ({
             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>
+
+      {/* 封面区域（视频生成后才激活；步骤③④要求：按钮在封面上方，完成后再显示封面区） */}
+      <div className="aa-cover-section" style={{ marginTop: 16 }}>
+        <div className="aa-label" style={{ marginBottom: 8 }}>
+          封面
+        </div>
+        {/* 封面预览（竖屏 9:16） */}
+        <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>}
+          {showTitleOverlay && (
+            <div style={titleOverlayStyle} aria-hidden="true">
+              {titleConfig.title}
+            </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>
     </div>
   )

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

@@ -0,0 +1,277 @@
+/**
+ * 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: 预览容器按 1/2 缩放、标题实时叠加预览
+ */
+import React, { useRef } 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")}`
+}
+
+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)
+  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…"
+
+  /** 标题叠加样式 */
+  const titleOverlayStyle: React.CSSProperties | null = titleConfig?.title
+    ? {
+        position: "absolute",
+        color: titleConfig.color || "#ffffff",
+        fontFamily: titleConfig.font || "思源黑体",
+        fontSize: `${(titleConfig.size || 48) * 0.35}px`,
+        fontWeight: titleConfig.bold ? 700 : 400,
+        fontStyle: titleConfig.italic ? "italic" : "normal",
+        textAlign: "center",
+        width: "90%",
+        padding: "4px 8px",
+        textShadow: titleConfig.shadow ? "0 2px 4px rgba(0,0,0,0.8)" : undefined,
+        WebkitTextStroke: titleConfig.stroke ? "1.5px #000" : undefined,
+        ...(titleConfig.position === "custom" &&
+        titleConfig.pos_x != null &&
+        titleConfig.pos_y != null
+          ? {
+              left: `${titleConfig.pos_x}%`,
+              top: `${titleConfig.pos_y}%`,
+              transform: "translateX(-50%) translateY(-50%)",
+            }
+          : titleConfig.position === "top"
+            ? { left: "50%", top: 8, transform: "translateX(-50%)" }
+            : titleConfig.position === "bottom"
+              ? { left: "50%", bottom: 8, transform: "translateX(-50%)" }
+              : { left: "50%", top: "50%", transform: "translateX(-50%) translateY(-50%)" }),
+      }
+    : null
+
+  const handleTitlePointerDown = (e: React.PointerEvent<HTMLDivElement>) => {
+    if (!onTitlePositionChange || !previewContainerRef.current) return
+    e.preventDefault()
+    e.stopPropagation()
+    ;(e.target as Element).setPointerCapture(e.pointerId)
+    draggingTitleRef.current = true
+    ;(e.currentTarget as HTMLDivElement).style.cursor = "grabbing"
+  }
+  const handleTitlePointerMove = (e: React.PointerEvent<HTMLDivElement>) => {
+    if (!draggingTitleRef.current || !previewContainerRef.current) return
+    e.preventDefault()
+    e.stopPropagation()
+    if (titleDragRef.current) {
+      const rect = previewContainerRef.current.getBoundingClientRect()
+      const relX = Math.max(0, Math.min(rect.width, e.clientX - rect.left))
+      const relY = Math.max(0, Math.min(rect.height, e.clientY - rect.top))
+      const xpct = (relX / rect.width) * 100
+      const ypct = (relY / rect.height) * 100
+      titleDragRef.current.style.left = `${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（v3.1: 缩放1/2 + 标题叠加） ─ */}
+      <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/PanelScriptAndLipsync.tsx

@@ -1,222 +0,0 @@
-/**
- * AI数字人 — 文案 & 对口型面板（面板4）
- * 上半区：文案（文案库选择 / 手动输入）；下半区：对口型视频预览（9:16）+ B-roll 画面
- */
-import { useState } from "react"
-import type { LipsyncJob, BRollSegment } from "../types"
-
-interface PanelScriptAndLipsyncProps {
-  scriptText: string
-  onScriptTextChange: (text: string) => void
-  onOpenScriptModal: () => void
-  lipsyncJob: LipsyncJob | null
-  onGenerateLipsync: () => void
-  bRollSegments: BRollSegment[]
-  onOpenBRollModal: () => void
-  onRemoveBRoll: (id: string) => void
-}
-
-type ScriptTab = "library" | "manual"
-
-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")}`
-}
-
-export function PanelScriptAndLipsync({
-  scriptText,
-  onScriptTextChange,
-  onOpenScriptModal,
-  lipsyncJob,
-  onGenerateLipsync,
-  bRollSegments,
-  onOpenBRollModal,
-  onRemoveBRoll,
-}: PanelScriptAndLipsyncProps) {
-  const [scriptTab, setScriptTab] = useState<ScriptTab>("library")
-
-  /* 对口型状态判断 */
-  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…"
-
-  return (
-    <div className="aa-script-lipsync">
-      {/* ── 上半区：文案 ── */}
-      <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>
-
-      {/* ── 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>
-
-      {/* ── 下半区：对口型预览（竖屏 9:16） ── */}
-      <div className="aa-lipsync-section">
-        <div className="aa-lipsync-section__title">对口型预览</div>
-
-        <div className="aa-lipsync-preview">
-          {isDone && lipsyncJob?.output_video_url ? (
-            <video src={lipsyncJob.output_video_url} controls />
-          ) : 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 PanelScriptAndLipsync

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

@@ -7,16 +7,17 @@
  * - AiAvatarTitleConfig ↔ TitleSettings 的双向适配
  * - 自动生成字幕开关
  */
-import React, { useMemo, useState } from "react"
+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,
-  getFontFamily,
-} from "@/pages/generate/constants"
+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
@@ -27,6 +28,14 @@ const PanelTitleConfig: React.FC<PanelTitleConfigProps> = ({ titleConfig, onUpda
   /** 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(
     () => ({
@@ -62,37 +71,32 @@ const PanelTitleConfig: React.FC<PanelTitleConfigProps> = ({ titleConfig, onUpda
 
   return (
     <div className="aa-title-config">
-      {/* 主标题输入 */}
+      {/* 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>
-        <input
-          className="aa-input aa-title-input"
-          type="text"
-          placeholder="输入视频标题（留空则不显示标题）"
+        <TextArea
+          className="aa-title-input"
+          placeholder="输入视频标题（支持 / 分行）"
           value={titleConfig.title}
-          maxLength={30}
+          autoSize={{ minRows: 2, maxRows: 4 }}
+          maxLength={200}
           onChange={(e) => onUpdate({ title: e.target.value })}
+          style={{ fontSize: 15 }}
         />
-        {titleConfig.title && (
-          <div
-            style={{
-              fontSize: 13,
-              padding: "6px 8px",
-              background: "#f8f8fc",
-              borderRadius: 6,
-              fontFamily: getFontFamily(titleConfig.font),
-              fontWeight: titleConfig.bold ? 700 : 400,
-              fontStyle: titleConfig.italic ? "italic" : "normal",
-              color: titleConfig.color,
-              textShadow: titleConfig.shadow ? "1px 1px 3px rgba(0,0,0,0.6)" : undefined,
-              overflow: "hidden",
-              textOverflow: "ellipsis",
-              whiteSpace: "nowrap",
+        <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 })
             }}
-          >
-            {titleConfig.title}
-          </div>
-        )}
+            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） */}

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

@@ -2,6 +2,8 @@
  * 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"
 
@@ -53,7 +55,7 @@ export function PanelVideoSelector({
 
   return (
     <div>
-      {/* 竖屏 9:16 视频预览播放器 */}
+      {/* 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 />

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

@@ -3,7 +3,10 @@
  * 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,
@@ -43,6 +46,9 @@ export function PanelVoiceSelector({
   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(() => {
@@ -52,7 +58,7 @@ export function PanelVoiceSelector({
       setError(null)
       try {
         const res = await fetchVoices({ type: voiceSource })
-        if (!cancelled) setVoices(res.items || [])
+        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 {
@@ -83,21 +89,20 @@ export function PanelVoiceSelector({
     setPreviewingId(null)
   }
 
-  const handlePreview = (voice: UnifiedVoiceItem) => {
-    const url = voice.preview_url || voice.audio_url
-    if (!url) return
-    /* 再次点击当前试听音色 → 停止 */
-    if (previewingId === voice.id) {
-      stopPreview()
-      return
-    }
+  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(url)
+    const audio = new Audio(safeUrl)
     audioRef.current = audio
-    setPreviewingId(voice.id)
+    setPreviewingId(voiceId)
     audio.onended = () => {
       if (audioRef.current === audio) {
         audioRef.current = null
@@ -108,15 +113,80 @@ export function PanelVoiceSelector({
       if (audioRef.current === audio) {
         audioRef.current = null
         setPreviewingId(null)
-        setError("试听音频加载失败")
+        message.error("试听音频加载失败")
       }
     }
     void audio.play().catch(() => {
       setPreviewingId(null)
-      setError("试听播放失败")
+      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
+      console.log("[AI数字人-克隆试听] previewTts 请求:", {
+        voice_id: targetId,
+        voice_name: voice.name,
+        voice_type: voice.type,
+        voice_clone_profile_id: voice.voice_clone_profile_id,
+        voice_id_field: voice.voice_id,
+      })
+      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
+        })
+        console.log("[AI数字人-克隆试听] previewTts 响应:", {
+          audio_url: res.audio_url?.substring(0, 80),
+          duration: res.duration,
+        })
+        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
@@ -182,7 +252,7 @@ export function PanelVoiceSelector({
                   type="button"
                   className="aa-voice-card__preview"
                   title={previewingId === voice.id ? "停止试听" : "试听"}
-                  disabled={!previewUrl}
+                  disabled={voice.type === "preset" && !previewUrl}
                   onClick={(e) => {
                     e.stopPropagation()
                     handlePreview(voice)

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/types.ts

@@ -44,10 +44,23 @@ export interface LipsyncJob {
   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"
@@ -75,6 +88,9 @@ export interface AiAvatarTitleConfig {
   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 ── */
@@ -84,6 +100,8 @@ export interface AiAvatarCoverConfig {
   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 ── */
@@ -94,6 +112,7 @@ export interface RenderJob {
   status: RenderStatus
   progress: number
   output_video_url: string | null
+  output_cover_url: string | null
   error_message: string | null
   created_at: string
 }
@@ -101,15 +120,17 @@ export interface RenderJob {
 /* ── 默认值 ── */
 export const DEFAULT_TITLE_CONFIG: AiAvatarTitleConfig = {
   title: "",
-  position: "top",
+  position: "bottom",
   font: "思源黑体",
-  size: 28,
+  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 = {
@@ -118,4 +139,5 @@ export const DEFAULT_COVER_CONFIG: AiAvatarCoverConfig = {
   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 +1,108 @@
+/**
+ * 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 +1,174 @@
+/**
+ * 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。
+ */
+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
+
+  const canvas = document.createElement("canvas")
+  canvas.width = videoWidth
+  canvas.height = videoHeight
+  const ctx = canvas.getContext("2d")
+  if (!ctx) return null
+
+  const size = Math.max(12, Math.round(titleConfig.size || 48))
+  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）
+  if (shadow) {
+    ctx.shadowColor = "rgba(0,0,0,0.8)"
+    ctx.shadowBlur = 4
+    ctx.shadowOffsetX = 0
+    ctx.shadowOffsetY = 2
+  }
+
+  // 位置计算：与 PanelLipsyncPreview 的 CSS 对齐
+  // 预览用 top/bottom 8px padding + transform translateX(-50%) 居中；
+  // 这里画到整尺寸 canvas，padding 按比例放大到全分辨率（预览缩放 0.35x 时 8px ≈ 23px 全尺寸，
+  // 为更贴近原 CSS 16px 安全边距，用 16px 作为内边距）。
+  const PAD = 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（stroke=true 或 bold 默认细描边模拟粗体时都画；
+  // 注意：浏览器原生 bold 已经是粗体 glyph，Canvas 这里对 stroke=true 才加黑描边，
+  // 与预览 CSS 的 WebkitTextStroke 保持一致，不对 bold 自动加描边避免双粗）。
+  const doStroke = stroke
+  // 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 = Math.max(2, size * 0.06)
+      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 = 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/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/generate/GeneratePage.tsx

@@ -548,10 +548,21 @@ 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",

apps/web/src/pages/generate/components/title/TitleStylePanel.css

@@ -0,0 +1,192 @@
+/* ============================================================
+   TitleStylePanel 标题样式面板 — 独立共用样式（#1809 ⑦）
+
+   从 generate.css 抽取的标题样式区块，供「智能剪辑」与「AI数字人」
+   两个页面共用。AI数字人页面不引入 generate.css，直接由
+   TitleStylePanel.tsx import 本文件，保证 24 个 T 预设格子的网格布局、
+   配色描边、选中态与智能剪辑页面完全一致。
+
+   注意：本文件规则与 generate.css 中同名规则一一对应、取值相同；
+   智能剪辑页面两处同时存在时同优先级同值，不改变其原有呈现。
+   ============================================================ */
+
+/* ── 区块容器 ── */
+.xx-title-style-section {
+  margin-top: 22px;
+  padding-top: 20px;
+  border-top: 1px solid var(--border-light);
+}
+
+.xx-section-subtitle {
+  font-size: 14px;
+  font-weight: 600;
+  color: var(--text-primary);
+  margin: 0 0 16px;
+}
+
+.xx-title-style-row {
+  display: grid;
+  grid-template-columns: 1fr 1fr;
+  gap: 14px;
+  margin-bottom: 14px;
+}
+
+.xx-half-field {
+  margin-bottom: 0;
+}
+
+.xx-field-label-row {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  margin-bottom: 8px;
+}
+
+.xx-field-label-row label {
+  margin-bottom: 0;
+}
+
+.xx-field-value {
+  font-size: 13px;
+  font-weight: 600;
+  color: var(--primary-color);
+}
+
+/* ── 共用表单字段（位置/字体下拉） ── */
+.xx-title-style-section .xx-form-field {
+  margin-bottom: 14px;
+}
+
+.xx-title-style-section .xx-form-field:last-child {
+  margin-bottom: 0;
+}
+
+.xx-title-style-section .xx-form-field label {
+  display: block;
+  font-weight: 600;
+  margin-bottom: 8px;
+  font-size: 13px;
+  color: var(--text-primary);
+}
+
+.xx-title-style-section .xx-form-field select,
+.xx-title-style-section .xx-form-field input {
+  width: 100%;
+  height: 44px;
+  border: 1px solid var(--border-color);
+  border-radius: var(--radius-sm);
+  background: var(--bg-primary);
+  padding: 0 14px;
+  font-size: 14px;
+  outline: 0;
+  transition: 0.15s ease;
+  color: var(--text-primary);
+}
+
+.xx-title-style-section .xx-form-field select:focus,
+.xx-title-style-section .xx-form-field input:focus {
+  border-color: var(--primary-color);
+  box-shadow: 0 0 0 3px rgba(79, 70, 229, 0.1);
+}
+
+/* ── 字号滑块 ── */
+.xx-slider {
+  width: 100%;
+  height: 6px;
+  -webkit-appearance: none;
+  appearance: none;
+  background: var(--border-color);
+  border-radius: 3px;
+  outline: none;
+  cursor: pointer;
+}
+
+.xx-slider::-webkit-slider-thumb {
+  -webkit-appearance: none;
+  appearance: none;
+  width: 18px;
+  height: 18px;
+  background: var(--primary-color);
+  border-radius: 50%;
+  cursor: pointer;
+  box-shadow: 0 2px 6px rgba(79, 70, 229, 0.3);
+}
+
+.xx-slider::-moz-range-thumb {
+  width: 18px;
+  height: 18px;
+  background: var(--primary-color);
+  border-radius: 50%;
+  cursor: pointer;
+  border: none;
+  box-shadow: 0 2px 6px rgba(79, 70, 229, 0.3);
+}
+
+/* ── 标题预设卡片网格（24 个 T 格子） ── */
+.xx-title-presets-grid {
+  display: grid;
+  grid-template-columns: repeat(6, 52px);
+  gap: 1px;
+}
+
+.xx-title-preset-card {
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  width: 52px;
+  height: 52px;
+  padding: 0;
+  background: #404040;
+  border: 2px solid transparent;
+  border-radius: 8px;
+  cursor: pointer;
+  transition: all 0.15s;
+}
+
+.xx-title-preset-card:hover {
+  border-color: #666;
+  background: #4d4d4d;
+}
+
+.xx-title-preset-card.active {
+  border-color: #409eff;
+  background: #4d4d4d;
+}
+
+.xx-title-preset-preview-text {
+  font-size: 32px;
+  line-height: 1;
+  user-select: none;
+}
+
+/* ── 样式按钮组（加粗/斜体/描边/阴影） ── */
+.xx-style-btns {
+  display: flex;
+  gap: 8px;
+}
+
+.xx-style-btn {
+  width: 40px;
+  height: 40px;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  border: 1px solid var(--border-color);
+  border-radius: var(--radius-sm);
+  background: var(--bg-primary);
+  cursor: pointer;
+  font-size: 15px;
+  color: var(--text-secondary);
+  transition: all 0.15s;
+}
+
+.xx-style-btn:hover {
+  border-color: var(--primary-300);
+  color: var(--primary-color);
+}
+
+.xx-style-btn.active {
+  background: var(--primary-color);
+  border-color: var(--primary-color);
+  color: #fff;
+}

apps/web/src/pages/generate/components/title/TitleStylePanel.tsx

@@ -5,6 +5,9 @@
 import React from "react"
 import type { TitleSettings } from "../../types"
 import TitlePresetsGrid from "./TitlePresetsGrid"
+// 标题样式面板共用样式（#1809 ⑦）：智能剪辑与 AI数字人复用同一组件，
+// 由组件自带样式，避免 AI数字人页面重复引入整个 generate.css
+import "./TitleStylePanel.css"
 
 interface PositionOption {
   value: string

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

@@ -10,7 +10,7 @@
 .xx-generate-page {
   min-height: 100%;
   padding: var(--space-xl);
-  max-width: 1400px;
+  max-width: 1680px;
   margin: 0 auto;
 }
 

apps/web/src/pages/my-templates/MyTemplates.css

@@ -5,7 +5,7 @@
 
 .mt-page {
   padding: var(--space-xl);
-  max-width: 1400px;
+  max-width: 1680px;
   margin: 0 auto;
 }
 

apps/web/src/pages/products/ProductLibrary.tsx

@@ -1,17 +1,22 @@
 /**
  * 成片库页面 — V21 设计系统
- * 卡片网格布局，支持视频内联播放/下载/分享、批量操作、筛选
+ * 卡片网格布局，支持视频内联播放/下载/分享、批量操作、筛选、无限滚动分页
  *
  * 主组件仅保留 Hook 组装与整体布局
- * 列表查询 → hooks/useProductList
+ * 列表查询 → hooks/useProductList（useInfiniteQuery 分页）
  * 操作逻辑 → hooks/useProductActions
  * 筛选栏 → components/ProductFilterBar
  * 批量操作栏 → components/ProductBatchBar
  * 空状态 → components/ProductEmptyState
  * 产品卡片 → components/ProductCard（内联视频播放）
  */
-import React from "react"
-import { VideoCameraOutlined, DownloadOutlined, ReloadOutlined } from "@ant-design/icons"
+import React, { useEffect, useRef } from "react"
+import {
+  VideoCameraOutlined,
+  DownloadOutlined,
+  ReloadOutlined,
+  LoadingOutlined,
+} from "@ant-design/icons"
 import { Button } from "@/components/ui"
 import { ProductCard } from "./components/ProductCard"
 import { ProductFilterBar } from "./components/ProductFilterBar"
@@ -24,11 +29,13 @@ import "./products.css"
 
 const ProductLibrary: React.FC = () => {
   const {
-    products,
     filteredProducts,
     isLoading,
+    isFetchingNextPage,
     isError,
     error,
+    hasNextPage,
+    fetchNextPage,
     refetch,
     searchText,
     setSearchText,
@@ -64,19 +71,40 @@ const ProductLibrary: React.FC = () => {
   } = useProductActions({
     selectedIds,
     clearSelection,
-    products,
+    products: filteredProducts,
     setPlayingProduct: () => {}, // 不再使用弹窗播放
   })
 
   const { recomputeDedup, isRecomputing } = useRecomputeDedup()
 
-  // ── Loading 状态 ──
-  if (isLoading) {
+  /* ── 无限滚动：IntersectionObserver 监听底部哨兵元素 ── */
+  const sentinelRef = useRef<HTMLDivElement>(null)
+
+  useEffect(() => {
+    const el = sentinelRef.current
+    if (!el) return
+    // 已有数据但正在加载中/没有更多页时不触发
+    if (isFetchingNextPage || !hasNextPage) return
+
+    const observer = new IntersectionObserver(
+      (entries) => {
+        if (entries[0]?.isIntersecting) {
+          void fetchNextPage()
+        }
+      },
+      { rootMargin: "200px" },
+    )
+    observer.observe(el)
+    return () => observer.disconnect()
+  }, [fetchNextPage, hasNextPage, isFetchingNextPage])
+
+  // ── Loading 状态（仅首次加载）──
+  if (isLoading && filteredProducts.length === 0) {
     return <ProductEmptyState type="loading" />
   }
 
   // ── Error 状态 ──
-  if (isError) {
+  if (isError && filteredProducts.length === 0) {
     console.error("[ProductLibrary] 加载失败:", error)
     const errorMsg = error?.message || "加载失败"
     const is404 = errorMsg.includes("404") || errorMsg.includes("Not Found")
@@ -143,22 +171,46 @@ const ProductLibrary: React.FC = () => {
 
       {/* 卡片网格 */}
       {filteredProducts.length > 0 ? (
-        <div className="xx-products-grid">
-          {filteredProducts.map((product) => (
-            <ProductCard
-              key={product.id}
-              product={product}
-              isSelected={selectedIds.has(product.id)}
-              batchMode={batchMode}
-              onToggleSelect={handleToggleSelect}
-              onDownload={handleDownload}
-              onShare={handleShare}
-              onDelete={handleDelete}
-              onPublish={handlePublish}
-              onReviewStatusChange={handleReviewStatusChange}
-            />
-          ))}
-        </div>
+        <>
+          <div className="xx-products-grid">
+            {filteredProducts.map((product) => (
+              <ProductCard
+                key={product.id}
+                product={product}
+                isSelected={selectedIds.has(product.id)}
+                batchMode={batchMode}
+                onToggleSelect={handleToggleSelect}
+                onDownload={handleDownload}
+                onShare={handleShare}
+                onDelete={handleDelete}
+                onPublish={handlePublish}
+                onReviewStatusChange={handleReviewStatusChange}
+              />
+            ))}
+          </div>
+
+          {/* 底部哨兵 + 状态提示 */}
+          <div
+            ref={sentinelRef}
+            style={{
+              gridColumn: "1 / -1",
+              textAlign: "center",
+              padding: "24px 0",
+              fontSize: 13,
+              color: "#8c8ca1",
+            }}
+          >
+            {isFetchingNextPage ? (
+              <>
+                <LoadingOutlined /> 加载中…
+              </>
+            ) : hasNextPage ? (
+              <span style={{ opacity: 0 }}>加载更多</span>
+            ) : (
+              <span>—— 已加载全部 ——</span>
+            )}
+          </div>
+        </>
       ) : (
         <ProductEmptyState type="empty" />
       )}

apps/web/src/pages/products/hooks/useProductList/index.ts

@@ -1,28 +1,53 @@
 import { useMemo } from "react"
-import { useQuery } from "@tanstack/react-query"
+import { useInfiniteQuery } from "@tanstack/react-query"
 import { getProducts, type ProductItem as ApiProductItem } from "@/api/products"
 import { mapApiProduct } from "../../utils"
+import type { ProductItem } from "../../types"
 import { useProductFiltering } from "./useProductFiltering"
 import { useBatchSelection } from "./useBatchSelection"
 
 export type { Filters } from "./useProductFiltering"
 
+const PAGE_SIZE = 20
+
 export const useProductList = () => {
-  /* ── 获取成品列表 ── */
+  /* ── 无限滚动获取成品列表（每页 20 条） ── */
   const {
-    data: apiProducts = [],
+    data,
     isLoading,
+    isFetchingNextPage,
     isError,
     error,
+    hasNextPage,
+    fetchNextPage,
     refetch,
-  } = useQuery<ApiProductItem[], Error>({
+  } = useInfiniteQuery<
+    {
+      items: ApiProductItem[]
+      total: number
+      page: number
+      page_size: number
+    },
+    Error
+  >({
     queryKey: ["products"],
-    queryFn: () => getProducts(),
+    queryFn: async ({ pageParam = 1 }) =>
+      getProducts({ page: pageParam as number, page_size: PAGE_SIZE }),
+    initialPageParam: 1,
+    getNextPageParam: (lastPage) => {
+      const loadedCount = lastPage.page * lastPage.page_size
+      return loadedCount < lastPage.total ? lastPage.page + 1 : undefined
+    },
     staleTime: 30_000,
   })
 
-  // 映射为前端类型，按创建时间倒序排列，防御非数组返回
-  const products = useMemo(
+  // 将所有页拼接为一维数组，再做前端映射+排序
+  const apiProducts = useMemo<ApiProductItem[]>(() => {
+    if (!data?.pages) return []
+    return data.pages.flatMap((p) => p.items)
+  }, [data])
+
+  const products = useMemo<ProductItem[]>(
     () =>
       (Array.isArray(apiProducts) ? apiProducts : []).map(mapApiProduct).sort((a, b) => {
         if (!a.date || a.date === "—") return 1
@@ -65,8 +90,11 @@ export const useProductList = () => {
     products,
     filteredProducts,
     isLoading,
+    isFetchingNextPage,
     isError,
     error,
+    hasNextPage,
+    fetchNextPage,
     refetch,
     // 筛选
     searchText,

apps/web/src/pages/scripts/ScriptLibrary.tsx

@@ -0,0 +1,273 @@
+/**
+ * 文案库页面 — Issue #1811
+ * 风格对齐标题库（同类资源管理页面统一风格），单列卡片列表
+ * 功能：列表 / 新建 / 编辑 / 删除 / 按标题搜索 / 空状态
+ * 对接后端 /api/v1/scripts CRUD
+ */
+import React, { useEffect, useMemo, useState } from "react"
+import { Modal, message, Empty, Button, Input, Popconfirm } from "antd"
+import { PlusOutlined, EditOutlined, DeleteOutlined, SearchOutlined } from "@ant-design/icons"
+import {
+  getScripts,
+  createScript,
+  updateScript,
+  deleteScript,
+  type ScriptItem,
+} from "@/api/scripts"
+import "./scripts.css"
+
+const { TextArea } = Input
+
+const ScriptLibrary: React.FC = () => {
+  const [scripts, setScripts] = useState<ScriptItem[]>([])
+  const [loading, setLoading] = useState(false)
+  const [searchText, setSearchText] = useState("")
+
+  // 弹窗状态
+  const [createOpen, setCreateOpen] = useState(false)
+  const [editing, setEditing] = useState<ScriptItem | null>(null)
+  const [formTitle, setFormTitle] = useState("")
+  const [formContent, setFormContent] = useState("")
+  const [submitting, setSubmitting] = useState(false)
+
+  const load = async () => {
+    setLoading(true)
+    try {
+      const items = await getScripts()
+      setScripts(items)
+    } catch (err) {
+      message.error(err instanceof Error ? err.message : "加载文案列表失败")
+    } finally {
+      setLoading(false)
+    }
+  }
+
+  useEffect(() => {
+    load()
+  }, [])
+
+  const filtered = useMemo(() => {
+    const kw = searchText.trim().toLowerCase()
+    if (!kw) return scripts
+    return scripts.filter((s) => s.title.toLowerCase().includes(kw))
+  }, [scripts, searchText])
+
+  const openCreate = () => {
+    setFormTitle("")
+    setFormContent("")
+    setCreateOpen(true)
+  }
+
+  const openEdit = (item: ScriptItem) => {
+    setEditing(item)
+    setFormTitle(item.title)
+    setFormContent(item.content)
+  }
+
+  const handleCloseCreate = () => {
+    setCreateOpen(false)
+    setFormTitle("")
+    setFormContent("")
+  }
+
+  const handleCloseEdit = () => {
+    setEditing(null)
+    setFormTitle("")
+    setFormContent("")
+  }
+
+  const handleCreate = async () => {
+    const title = formTitle.trim()
+    const content = formContent.trim()
+    if (!title || !content) {
+      message.warning("请填写标题和正文")
+      return
+    }
+    setSubmitting(true)
+    try {
+      await createScript({ title, content })
+      message.success("文案已创建")
+      handleCloseCreate()
+      await load()
+    } catch (err) {
+      message.error(err instanceof Error ? err.message : "创建文案失败")
+    } finally {
+      setSubmitting(false)
+    }
+  }
+
+  const handleUpdate = async () => {
+    if (!editing) return
+    const title = formTitle.trim()
+    const content = formContent.trim()
+    if (!title || !content) {
+      message.warning("请填写标题和正文")
+      return
+    }
+    setSubmitting(true)
+    try {
+      await updateScript(editing.id, { title, content })
+      message.success("文案已更新")
+      handleCloseEdit()
+      await load()
+    } catch (err) {
+      message.error(err instanceof Error ? err.message : "更新文案失败")
+    } finally {
+      setSubmitting(false)
+    }
+  }
+
+  const handleDelete = async (id: string) => {
+    try {
+      await deleteScript(id)
+      message.success("文案已删除")
+      await load()
+    } catch (err) {
+      message.error(err instanceof Error ? err.message : "删除文案失败")
+    }
+  }
+
+  const preview = (content: string) => {
+    const text = content.replace(/\s+/g, " ").trim()
+    return text.length > 120 ? `${text.slice(0, 120)}…` : text || "（空）"
+  }
+
+  const formatTime = (iso: string) => {
+    const d = new Date(iso)
+    if (Number.isNaN(d.getTime())) return iso
+    const pad = (n: number) => String(n).padStart(2, "0")
+    return `${d.getFullYear()}-${pad(d.getMonth() + 1)}-${pad(d.getDate())} ${pad(
+      d.getHours(),
+    )}:${pad(d.getMinutes())}`
+  }
+
+  return (
+    <div className="xx-scripts-page">
+      <div className="xx-scripts-layout">
+        {/* 顶部操作栏 */}
+        <div className="xx-scripts-filters">
+          <div className="xx-scripts-filters-left">
+            <Input
+              prefix={<SearchOutlined />}
+              placeholder="按标题搜索"
+              value={searchText}
+              onChange={(e) => setSearchText(e.target.value)}
+              allowClear
+              style={{ width: 260 }}
+            />
+          </div>
+          <div className="xx-scripts-filters-right">
+            <Button type="primary" icon={<PlusOutlined />} onClick={openCreate}>
+              新建文案
+            </Button>
+          </div>
+        </div>
+
+        {/* 列表 / 空状态 */}
+        {loading ? (
+          <div className="xx-scripts-loading">加载中…</div>
+        ) : filtered.length === 0 ? (
+          <Empty
+            description={searchText ? "没有匹配的文案" : "暂无文案，点击右上角「新建文案」开始创作"}
+          />
+        ) : (
+          <div className="xx-scripts-list">
+            {filtered.map((s) => (
+              <div key={s.id} className="xx-script-card">
+                <div className="xx-script-card-header">
+                  <div className="xx-script-title">{s.title}</div>
+                  <div className="xx-script-actions">
+                    <Button
+                      size="small"
+                      type="text"
+                      icon={<EditOutlined />}
+                      onClick={() => openEdit(s)}
+                    >
+                      编辑
+                    </Button>
+                    <Popconfirm
+                      title="确认删除此文案？"
+                      description="删除后不可恢复"
+                      okText="删除"
+                      cancelText="取消"
+                      okButtonProps={{ danger: true }}
+                      onConfirm={() => handleDelete(s.id)}
+                    >
+                      <Button size="small" type="text" danger icon={<DeleteOutlined />}>
+                        删除
+                      </Button>
+                    </Popconfirm>
+                  </div>
+                </div>
+                <div className="xx-script-preview">{preview(s.content)}</div>
+                <div className="xx-script-meta">
+                  <span>{s.char_count ?? s.content.length} 字</span>
+                  <span>·</span>
+                  <span>{formatTime(s.created_at)}</span>
+                </div>
+              </div>
+            ))}
+          </div>
+        )}
+      </div>
+
+      {/* 新建弹窗 */}
+      <Modal
+        title="新建文案"
+        open={createOpen}
+        onCancel={handleCloseCreate}
+        onOk={handleCreate}
+        confirmLoading={submitting}
+        destroyOnClose
+        okText="创建"
+        cancelText="取消"
+      >
+        <div className="xx-script-form">
+          <Input
+            placeholder="标题"
+            value={formTitle}
+            onChange={(e) => setFormTitle(e.target.value)}
+            maxLength={200}
+          />
+          <TextArea
+            placeholder="正文"
+            value={formContent}
+            onChange={(e) => setFormContent(e.target.value)}
+            rows={8}
+            maxLength={5000}
+          />
+        </div>
+      </Modal>
+
+      {/* 编辑弹窗 */}
+      <Modal
+        title="编辑文案"
+        open={!!editing}
+        onCancel={handleCloseEdit}
+        onOk={handleUpdate}
+        confirmLoading={submitting}
+        destroyOnClose
+        okText="保存"
+        cancelText="取消"
+      >
+        <div className="xx-script-form">
+          <Input
+            placeholder="标题"
+            value={formTitle}
+            onChange={(e) => setFormTitle(e.target.value)}
+            maxLength={200}
+          />
+          <TextArea
+            placeholder="正文"
+            value={formContent}
+            onChange={(e) => setFormContent(e.target.value)}
+            rows={8}
+            maxLength={5000}
+          />
+        </div>
+      </Modal>
+    </div>
+  )
+}
+
+export default ScriptLibrary

apps/web/src/pages/scripts/scripts.css

@@ -0,0 +1,137 @@
+/**
+ * 文案库页面 - V21 设计系统样式
+ * 单列卡片列表，风格对齐标题库（xx-titles-page）
+ */
+@import "../../styles/global.css";
+
+/* ============================================================
+   页面容器
+   ============================================================ */
+.xx-scripts-page {
+  min-height: 100%;
+  padding: var(--space-xl);
+}
+
+.xx-scripts-layout {
+  display: flex;
+  flex-direction: column;
+  gap: var(--space-lg);
+  max-width: 960px;
+  margin: 0 auto;
+}
+
+/* ============================================================
+   顶部筛选栏
+   ============================================================ */
+.xx-scripts-filters {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: var(--space-md);
+  flex-wrap: wrap;
+}
+
+.xx-scripts-filters-left {
+  display: flex;
+  align-items: center;
+  gap: var(--space-sm);
+}
+
+.xx-scripts-filters-right {
+  display: flex;
+  align-items: center;
+  gap: var(--space-sm);
+}
+
+/* ============================================================
+   列表
+   ============================================================ */
+.xx-scripts-list {
+  display: flex;
+  flex-direction: column;
+  gap: var(--space-sm);
+}
+
+.xx-scripts-loading {
+  text-align: center;
+  color: var(--text-secondary);
+  padding: var(--space-xl);
+  font-size: var(--font-size-sm);
+}
+
+/* ============================================================
+   文案卡片（对齐标题卡片风格，单列）
+   ============================================================ */
+.xx-script-card {
+  border: 1px solid var(--border-color);
+  background: var(--bg-primary);
+  border-radius: var(--radius-md);
+  padding: var(--space-md);
+  transition: var(--transition-all);
+  display: flex;
+  flex-direction: column;
+  gap: 10px;
+}
+
+.xx-script-card:hover {
+  border-color: var(--primary-color);
+  background: var(--bg-secondary);
+  box-shadow: var(--shadow-sm);
+}
+
+.xx-script-card-header {
+  display: flex;
+  align-items: flex-start;
+  justify-content: space-between;
+  gap: var(--space-md);
+}
+
+.xx-script-title {
+  font-size: var(--font-size-base);
+  font-weight: var(--font-weight-semibold);
+  color: var(--text-primary);
+  line-height: 1.5;
+  word-break: break-word;
+  flex: 1;
+}
+
+.xx-script-actions {
+  display: flex;
+  align-items: center;
+  gap: var(--space-xxs);
+  flex-shrink: 0;
+  opacity: 0;
+  transition: var(--transition-opacity, opacity 0.2s);
+}
+
+.xx-script-card:hover .xx-script-actions {
+  opacity: 1;
+}
+
+.xx-script-preview {
+  font-size: var(--font-size-sm);
+  color: var(--text-secondary);
+  line-height: 1.6;
+  word-break: break-word;
+}
+
+.xx-script-meta {
+  display: flex;
+  align-items: center;
+  gap: var(--space-xs);
+  font-size: var(--font-size-xs, 12px);
+  color: var(--text-tertiary);
+}
+
+/* ============================================================
+   弹窗表单
+   ============================================================ */
+.xx-script-form {
+  display: flex;
+  flex-direction: column;
+  gap: var(--space-md);
+}
+
+.xx-script-form textarea.ant-input {
+  resize: vertical;
+}

apps/web/src/pages/tasks/tasks.css

@@ -2,7 +2,7 @@
 
 .task-center {
   padding: var(--space-lg);
-  max-width: 1400px;
+  max-width: 1680px;
   margin: 0 auto;
 }
 

apps/web/src/router/appRoutes.tsx

@@ -24,6 +24,10 @@ const appChildren: RouteObject[] = [
     path: "titles",
     lazy: lazyRoute(() => import("@/pages/titles/TitleLibrary")),
   },
+  {
+    path: "scripts",
+    lazy: lazyRoute(() => import("@/pages/scripts/ScriptLibrary")),
+  },
   {
     path: "voices",
     lazy: lazyRoute(() => import("@/pages/voices/VoiceLibrary")),

apps/web/src/test/pages/assets/smoke.test.tsx

@@ -36,10 +36,10 @@ import "@/pages/assets/hooks/useLibraryManagement"
 import "@/pages/assets/hooks/useAssetUpload"
 import "@/pages/assets/hooks/useAssetSelection"
 import "@/pages/assets/hooks/useAssetOperations"
-import "@/pages/assets/hooks/asset-operations/batch/useBatchDelete"
-import "@/pages/assets/hooks/asset-operations/batch/useBatchTag"
-import "@/pages/assets/hooks/asset-operations/batch/useBatchClassify"
-import "@/pages/assets/hooks/asset-operations/batch/useBatchMark"
+import "@/pages/assets/hooks/asset-operations/batch-operations/useBatchDelete"
+import "@/pages/assets/hooks/asset-operations/batch-operations/useBatchTag"
+import "@/pages/assets/hooks/asset-operations/batch-operations/useBatchClassify"
+import "@/pages/assets/hooks/asset-operations/batch-operations/useBatchMark"
 
 describe("AssetLibrary module smoke test", () => {
   it("should load all asset modules", () => {

apps/web/src/test/pages/editing-planner/smoke.test.tsx

@@ -53,13 +53,6 @@ import "@/pages/editing-planner/components/clip-properties/SubtitleSettingsSecti
 import "@/pages/editing-planner/components/clip-properties/BgmSettingsSection"
 import "@/pages/editing-planner/components/clip-properties/ClipDetailSection"
 import "@/pages/editing-planner/components/clip-properties/StatsSection"
-import "@/pages/editing-planner/components/pip-config/LayerList"
-import "@/pages/editing-planner/components/pip-config/LayerConfig"
-import "@/pages/editing-planner/components/sticker/StickerLibrary"
-import "@/pages/editing-planner/components/sticker/StickerList"
-import "@/pages/editing-planner/components/sticker/StickerPropsEditor"
-import "@/pages/editing-planner/components/sticker/StickerPreview"
-import "@/pages/editing-planner/components/sticker/TextStickerPropsEditor"
 import "@/pages/editing-planner/components/filter/FilterPresetGrid"
 import "@/pages/editing-planner/components/filter/FilterManualAdjust"
 import "@/pages/editing-planner/components/intro-outro/IntroOutroBlock"
@@ -67,8 +60,6 @@ import "@/pages/editing-planner/components/subtitle-style/SubtitlePreview"
 import "@/pages/editing-planner/components/subtitle-style/SubtitleModeSwitch"
 import "@/pages/editing-planner/components/subtitle-style/SubtitlePositionSelector"
 import "@/pages/editing-planner/components/subtitle-style/SubtitleEffectButtons"
-import "@/pages/editing-planner/components/tts/VoiceSelector"
-import "@/pages/editing-planner/components/tts/TtsSlider"
 import "@/pages/editing-planner/components/watermark/WatermarkTypeTabs"
 import "@/pages/editing-planner/components/watermark/ImageWatermarkSection"
 import "@/pages/editing-planner/components/watermark/TextWatermarkSection"

apps/worker/worker_app/celery_app.py

@@ -34,9 +34,15 @@ celery_app.conf.imports = (
     "worker_app.tasks.tts_synthesis",
     "worker_app.tasks.batch_download",
     "worker_app.tasks.duplication_check",
+    # #1798 AI 数字人渲染：必须在 Worker 实例上注册同名任务，否则消息无人消费（渲染卡 0%）
+    "worker_app.tasks.ai_avatar_render",
     "worker_app.tasks._startup",
     "apps.worker.video_processing.dedup",
     "worker_app.tasks.cleanup",
+    # 注意：必须用 app.* 路径，不能用 apps.api.app.* 路径！
+    # PYTHONPATH=/app/apps/api 下，app.tasks.lipsync_tts 可直接导入且不触发 apps/api/__init__.py
+    # （apps/api/__init__.py 会 from .main import app，级联加载整个 FastAPI 栈，Worker 中不需要且会导致注册失败）
+    "app.tasks.lipsync_tts",
 )
 
 # Celery Beat 定时任务调度

apps/worker/worker_app/tasks/ai_avatar_render.py

@@ -0,0 +1,48 @@
+"""AI 数字人渲染任务 — Worker 侧 Celery 任务注册.
+
+#1798 渲染进度卡在 0% 的根因：渲染任务定义在 API 侧（`app.tasks.ai_avatar_render`），
+装饰在 API 自己的 Celery 实例（`xiaoxia-saas-api`）上；而 Worker 用的是
+`worker_app.celery_app` 实例，`conf.imports` 从未导入该任务，Worker 的任务
+注册表里没有 `ai_avatar_render.execute`，消息被路由到默认 `celery` 队列后
+无人消费，任务永远停在 0%。
+
+修复：在 Worker 侧用 `worker_app.celery_app` 注册同名任务，直接调用与 API
+服务一致的 `AiAvatarRenderService.execute_render` 核心管线（业务逻辑在
+`apps.api.app.services`，worker 镜像已复制 `apps/api/app`）。任务名保持
+`ai_avatar_render.execute`，与 API 生产端 `.delay()` 的消息路由一致；未在
+task_routes 显式配置，走默认 `celery` 队列，由 transcode worker 消费。
+"""
+
+from __future__ import annotations
+
+import logging
+
+from worker_app.celery_app import celery_app
+from worker_app.db import SessionLocal
+
+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（Worker 侧入口）.
+
+    进度由 service 直接写入 DB（AiAvatarRenderJob.progress:
+    0→5→20→40→80→90→95→100），API 通过轮询 progress 字段展示。
+    """
+    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})
+
+    session = SessionLocal()
+    try:
+        from app.services.ai_avatar_render_service import AiAvatarRenderService
+
+        service = AiAvatarRenderService(session)
+        service.execute_render(job_id)
+        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
+    finally:
+        session.close()

docs/ai-avatar-api-contract-1822.md

@@ -0,0 +1,169 @@
+# AI 数字人前后端接口契约（#1797 / #1822）
+
+> 分支：`fix/ai-avatar-v3-1797`
+> 范围：TTS→对口型链路打通、语速/情绪透传、封面智能选帧、标题字段对齐
+> 本文档为前后端联调的唯一字段口径。
+
+---
+
+## 1. 对口型创建接口 `POST /api/v1/lipsync/jobs`
+
+支持两种输入模式，**二选一**：
+
+### 模式 A（推荐）：TTS 直生 —— 传音色 + 文案，后端内部合成音频
+
+前端无需先调 TTS。后端收到请求后：先调 CosyVoice 合成音频 → 转存 OSS → 再提交 MediaKit 对口型。
+
+```jsonc
+{
+  "video_url": "https://oss.../person.mp4",   // 必填，人物视频（MP4）
+  "voice_id": "cosyvoice-v3-flash-99-xxxx",    // 必填，音色 ID（预置音色 或 克隆 profile UUID）
+  "script_text": "省是浙江省，市是永康市……",     // 必填，要合成的文案
+  "speed": 1.0,                                 // 可选，语速 0.5~2.0，默认 1.0
+  "emotion": "excited",                         // 可选，情绪，见 §3
+  "enable_video_loop": false,                   // 可选，音频长于视频时是否循环画面
+  "project_id": ""                              // 可选
+}
+```
+
+### 模式 B：直接音频 —— 前端已准备好音频
+
+```jsonc
+{
+  "video_url": "https://oss.../person.mp4",     // 必填
+  "audio_url": "https://oss.../voice.mp3",      // 必填，mp3/aac/wav/m4a/flac
+  "enable_video_loop": false
+}
+```
+
+### 校验与错误码
+
+| 场景 | HTTP | detail.code |
+|------|------|-------------|
+| 既无 audio_url 又无 voice_id+script_text | 422 | （schema 校验） |
+| video_url 非 MP4 / audio_url 格式不支持 | 422 | （schema 校验） |
+| 克隆音色不属于当前用户 | 403 | `VoiceForbidden` |
+| 克隆音色尚未合成完成 | 400 | `VoiceNotReady` |
+| TTS 合成失败（如 CosyVoice 欠费） | 502 | `TTSSynthesisFailed` |
+| MediaKit 提交失败 | 502 | `*`（透传 MediaKit code） |
+
+### 轮询
+
+- `GET /api/v1/lipsync/jobs/{id}`：非终态任务先返回 DB 缓存，**后台异步刷新 MediaKit**（不会阻塞轮询）。
+- `status` 流转：`pending` → `submitted` → `running`/`processing`（MediaKit 中间态同步）→ `completed` / `failed`。
+- `completed` 时 `output_video_url` 为**已转存自家 OSS 的非临时 URL**（不会过期）。
+- 前端每 3s 轮询，命中 `completed`/`failed` 即停。
+
+---
+
+## 2. TTS 合成接口语速/情绪透传
+
+- `POST /api/v1/tts/synthesize`（异步任务）与 `POST /api/v1/tts/preview`（即时试听）均新增：
+  - `speed`：float，0.5~2.0，默认 1.0 → 透传 CosyVoice payload 的 `rate`
+  - `emotion`：string，见 §3 映射 → 透传 `emotion`
+- 透传链路：`route → CreateTTSJobUseCase(metadata) → TTSJobWorkflow.start_synthesis / 分段合成 → CosyVoiceService.submit_synthesize_task(rate/emotion)`。
+- 分段合成（长文案）与失败重合成路径同样透传 speed/emotion。
+
+---
+
+## 3. 情绪枚举（前后端统一）
+
+前端把中文选项映射成英文后传后端；后端同时接受中文/英文，非法值忽略（走默认自然）。
+
+| 前端选项 | 传参值 | CosyVoice 枚举 |
+|---------|--------|---------------|
+| 自然 | `natural` | natural |
+| 兴奋 | `excited` | excited |
+| 沉稳 | `calm` | calm |
+| 亲切 | `friendly` | friendly |
+
+后端 `normalize_emotion()` 也接受中文（自然/兴奋/沉稳/亲切）做兜底映射。
+
+---
+
+## 4. 智能封面接口 `POST /api/v1/ai-avatar/render/smart-cover`
+
+独立接口，**不依赖渲染任务**，前端「智能获取封面」按钮直接调用。
+
+**请求**
+```jsonc
+{
+  "video_url": "https://oss.../avatar_output.mp4",  // 必填，数字人视频
+  "max_frames": 5                                    // 可选，抽帧数量 1~10，默认 5
+}
+```
+
+**响应**
+```jsonc
+{
+  "cover_url": "https://oss.../ai-avatar/covers/xxx/cover_yy.jpg", // OSS 非临时 URL
+  "status": "completed",       // completed / fallback_failed
+  "message": ""                // 失败原因
+}
+```
+
+**实现**：复用智能剪辑同款能力 —— MediaKit `extract_frames(SpecifiedFrames)` 抽 5 帧 → `cover_frame_scorer.score_frames`（清晰度+亮度+色彩）评分选最佳 → 转存 OSS。
+**不再使用 FFmpeg 简单首帧**。渲染管线最终封面也优先走该智能选帧，MediaKit 不可用时才回退 FFmpeg。
+
+---
+
+## 5. 渲染接口 `POST /api/v1/ai-avatar/render`
+
+```jsonc
+{
+  "lipsync_job_id": "7c29a3b2-...",     // 必填，已 completed 的对口型任务
+  "script_id": "",                       // 可选！见下方说明
+  "b_roll_segments": [],                 // 可选，B-roll 片段
+  "title_config": { ... },               // 可选，单个标题配置 dict（见 §6）
+  "cover_config": { ... },               // 可选，封面配置（建议改用 smart-cover）
+  "project_id": ""
+}
+```
+
+**`script_id` 是否必填：可选。**
+- 从文案库选了文案时传对应文案 ID（后端做归属校验）。
+- **手动输入文案、走 TTS 直生模式时不传（留空）即可**——渲染管线不依赖文案内容，`script_id` 仅用于归属校验。留空不会卡手动文案用户。
+
+---
+
+## 6. 标题配置 `title_config` 字段清单（以 build_title_drawtext_filter 为准）
+
+渲染请求收的是**单个 `title_config` dict**（不是 `titles[]` 数组），字段与 `packages/domain/video_filter_builder.py` 的 `build_title_drawtext_filter()` 完全对齐：
+
+| 字段 | 别名 | 类型 | 必填 | 默认 | 说明 |
+|------|------|------|------|------|------|
+| `text` | `content` | string | ✅ | — | 标题文字；为空或 `enabled=false` 时不渲染标题 |
+| `enabled` | — | bool | ❌ | `true` | 是否启用标题；false 跳过 |
+| `font` | `font_preset` | string | ❌ | 思源黑体 | 字体名（后端按名字解析字体文件） |
+| `font_size` | `size` | int | ❌ | 36 | 字号（像素） |
+| `font_color` | `color` | string | ❌ | `#ffffff` | 文字颜色，`#RRGGBB`；后端自动去掉 `#`，也可传 `RRGGBB` 或颜色名 |
+| `position` | — | string | ❌ | `top` | 预设位置：`top`(y=50) / `center`(垂直居中) / `bottom`(底部上移50px) / `custom` |
+| `pos_x` | — | int/float | ❌ | — | 自定义 X 坐标（像素），仅 `position=custom` 生效 |
+| `pos_y` | — | int/float | ❌ | — | 自定义 Y 坐标（像素），仅 `position=custom` 生效 |
+| `bold` | — | bool | ❌ | `true` | 粗体（Bold 字体变体，回退 borderw 模拟） |
+| `stroke` | — | bool/object | ❌ | — | 描边。`true`=黑描边宽2；object 见下 |
+| `stroke.enabled` | — | bool | ❌ | true | 是否描边 |
+| `stroke.width` | — | int | ❌ | 2 | 描边宽度 |
+| `stroke.color` | — | string | ❌ | `#000000` | 描边颜色 |
+| `shadow` | — | bool/object | ❌ | — | 阴影。`true`=黑色阴影偏移2px；object 见下 |
+| `shadow.enabled` | — | bool | ❌ | true | 是否阴影 |
+| `shadow.color` | — | string | ❌ | `#000000` | 阴影颜色 |
+| `shadow.offset_x` | — | int | ❌ | 2 | 阴影 X 偏移 |
+| `shadow.offset_y` | — | int | ❌ | 2 | 阴影 Y 偏移 |
+
+**前端注意事项**
+- 标题是**整条成片一个标题**（单个 dict），不是按时间段的标题数组；没有 `start`/`end`/`frame`/`fontSize` 这些字段。
+- 位置用 `position` 四档枚举；自由摆放用 `position="custom"` + `pos_x`/`pos_y`（像素坐标，非比例）。
+- 颜色统一传 `#RRGGBB` 即可，后端会处理 `#`；三档预设位置下标题始终水平居中。
+- `stroke`/`shadow` 传 `true` 用默认样式，或传 object 精细控制颜色/宽度/偏移。
+
+---
+
+## 7. 前端对接清单
+
+1. 对口型：改用**模式 A**（voice_id + script_text + speed + emotion），不要再先调 TTS 拿 audio_url。
+2. 音色 ID：`voice_id` 可直接传克隆音色的 profile UUID，后端会解析为 CosyVoice voice_id（与 /tts 一致）。
+3. 情绪下拉：自然/兴奋/沉稳/亲切 → natural/excited/calm/friendly。
+4. 封面：点「智能获取封面」→ POST `/ai-avatar/render/smart-cover`，用返回的 `cover_url`。
+5. 渲染：手动文案直生场景 `script_id` 留空；标题传**单个** `title_config` dict（字段见 §6）。
+6. 轮询：识别 `running` 等中间态，不要只认 `submitted`。

infra/docker/compose.yml

@@ -128,9 +128,9 @@ services:
       - xiaoxia-net
 
     # 健康检查配置
-    # 注：celery inspect ping 依赖 broker 连接，在容器内不可靠，改用进程检查
+    # 注：容器内无 pgrep/ps，扫描 /proc 所有进程的 cmdline 查找 celery 进程
     healthcheck:
-      test: ["CMD-SHELL", "for pid in /proc/[0-9]*/cmdline; do if grep -ql celery \"$pid\" 2>/dev/null; then exit 0; fi; done; exit 1"]
+      test: ["CMD-SHELL", "grep -lq celery /proc/[0-9]*/cmdline 2>/dev/null || exit 1"]
       interval: 30s
       timeout: 10s
       retries: 3
@@ -163,7 +163,7 @@ services:
     #   context: ../..
     #   dockerfile: ${WEB_DOCKERFILE:-infra/docker/web.Dockerfile}
     #   args:
-    #     NGINX_CONF: ${WEB_NGINX_CONF:-infra/docker/nginx.conf}
+    #     (NGINX_CONF no longer needed - all configs baked into image)
     
     container_name: xiaoxia-web-${ENV:-staging}
     restart: unless-stopped
@@ -178,12 +178,12 @@ services:
       - xiaoxia-net
     
     # =========================================
-    # Nginx 配置运行时覆盖
+    # Nginx 配置运行时覆盖（双保险：entrypoint 也按 APP_ENV 选择配置）
     # 确保容器使用正确环境的 nginx 配置，即使镜像构建时使用了默认配置
     # 注意: 只覆盖 /etc/nginx/conf.d/default.conf，不挂载 /usr/share/nginx/html
     # =========================================
     environment:
-      - NGINX_ENV=${ENV:-staging}
+      - APP_ENV=${ENV:-staging}
     volumes:
       - ./nginx-${ENV:-staging}.conf:/etc/nginx/conf.d/default.conf:ro
     

infra/docker/deploy-production-registry.sh

@@ -14,11 +14,11 @@ REGISTRY_TOKEN="${REGISTRY_TOKEN:-}"
 ENV_FILE="${ENV_FILE:-/var/lib/xiaoxia-saas-production/.env}"
 GENERATED_DIR="${GENERATED_DIR:-/var/lib/xiaoxia-saas-production/generated}"
 LEGACY_ASSETS_DIR="${LEGACY_ASSETS_DIR:-/var/lib/xiaoxia-saas-production/legacy-assets}"
+REPO_DIR="${REPO_DIR:-/var/lib/xiaoxia-saas-production/repo}"
 
 if [ -z "$IMAGE_TAG" ]; then
   echo "ERROR: IMAGE_TAG is required"
   exit 1
-fi
 
 test -f "$ENV_FILE"
 mkdir -p "$GENERATED_DIR"
@@ -31,7 +31,6 @@ if [ -n "$REGISTRY_TOKEN" ]; then
   printf %s "$REGISTRY_TOKEN" | docker login "$REGISTRY_HOST" -u "$REGISTRY_USER" --password-stdin 2>/dev/null || {
     echo "WARN: docker login failed, will try to pull anyway"
   }
-fi
 
 # ---- Pull 三镜像 ----
 REGISTRY_API="${REGISTRY}/xiaoxia-saas-api:${IMAGE_TAG}"
@@ -66,17 +65,14 @@ if docker inspect xiaoxia-web-production >/dev/null 2>&1; then
   if [ -d "$_tmpdir" ] && [ "$(ls -A "$_tmpdir" 2>/dev/null)" ]; then
     cp -an "$_tmpdir"/. "$LEGACY_ASSETS_DIR"/ 2>/dev/null || true
     echo "Legacy assets backed up: $(ls "$_tmpdir" | wc -l) files"
-  fi
   rm -rf "$_tmpdir"
 else
   echo "No existing web container, skipping legacy assets backup"
-fi
 
 # 清理超过 7 天的旧 assets 文件（避免无限增长）
 if [ -d "$LEGACY_ASSETS_DIR" ]; then
   find "$LEGACY_ASSETS_DIR" -type f -mtime +7 -delete 2>/dev/null || true
   echo "Legacy assets cleanup done (retain 7 days)"
-fi
 
 # ---- 确保基础设施容器在运行 ----
 echo "Checking infrastructure containers..."
@@ -84,12 +80,10 @@ for c in xiaoxia-postgres-production xiaoxia-redis-production; do
   if ! docker inspect "$c" >/dev/null 2>&1; then
     echo "ERROR: Required container not found: $c"
     exit 1
-  fi
   state=$(docker inspect -f '{{.State.Status}}' "$c")
   if [ "$state" != "running" ]; then
     echo "ERROR: Container not running: $c ($state)"
     exit 1
-  fi
 done
 
 # ---- 确保生产网络存在 ----
@@ -108,7 +102,6 @@ echo "Migrations completed."
 echo "Stopping old containers..."
 docker rm -f xiaoxia-api-production 2>/dev/null || true
 docker rm -f xiaoxia-worker-production 2>/dev/null || true
-docker rm -f xiaoxia-web-production 2>/dev/null || true
 
 # ---- 日志配置（所有容器共用） ----
 LOG_OPTS="--log-driver json-file --log-opt max-size=50m --log-opt max-file=3"
@@ -155,7 +148,7 @@ docker run -d \
   --restart unless-stopped \
   --cpus 2 \
   --memory 2g \
-  --health-cmd "sh -c \"for pid in /proc/[0-9]*/cmdline; do if grep -ql celery \"$pid\" 2>/dev/null; then exit 0; fi; done; exit 1\"" \
+  --health-cmd "sh -c \"grep -lq celery /proc/[0-9]*/cmdline 2>/dev/null || exit 1\"" \
   --health-interval 30s \
   --health-timeout 10s \
   --health-retries 3 \
@@ -166,15 +159,16 @@ docker run -d \
 # ---- 启动 Web ----
 # Legacy assets 挂载到 /usr/share/nginx/html/assets-legacy/assets/
 # nginx 配置中 assets location 有 fallback 逻辑
-LEGACY_VOLUME=""
+WEB_VOLUMES=""
 if [ -d "$LEGACY_ASSETS_DIR" ] && [ "$(ls -A "$LEGACY_ASSETS_DIR" 2>/dev/null)" ]; then
-  LEGACY_VOLUME="-v ${LEGACY_ASSETS_DIR}:/usr/share/nginx/html/assets-legacy/assets:ro"
+  WEB_VOLUMES="-v ${LEGACY_ASSETS_DIR}:/usr/share/nginx/html/assets-legacy/assets:ro"
   echo "Web container: legacy assets mounted (fallback)"
 else
   echo "Web container: no legacy assets to mount"
 fi
 
 echo "Starting Web container..."
+docker rm -f xiaoxia-web-production 2>/dev/null || true
 docker run -d \
   --name xiaoxia-web-production \
   --network xiaoxia-net-production \
@@ -182,7 +176,8 @@ docker run -d \
   --restart unless-stopped \
   --cpus 0.5 \
   --memory 512m \
-  $LEGACY_VOLUME \
+  -e APP_ENV=production \
+  $WEB_VOLUMES \
   --health-cmd "wget --spider -q http://127.0.0.1:80" \
   --health-interval 30s \
   --health-timeout 5s \
@@ -197,7 +192,6 @@ while [ "$i" -lt 40 ]; do
   if curl -sf --max-time 5 http://127.0.0.1:8001/health >/dev/null 2>&1; then
     echo "API is healthy!"
     break
-  fi
   i=$((i + 1))
   echo "  Waiting... ($i/40)"
   sleep 3
@@ -207,7 +201,6 @@ if [ "$i" -ge 40 ]; then
   echo "ERROR: API did not become healthy within 120s"
   docker logs --tail 50 xiaoxia-api-production
   exit 1
-fi
 
 # ---- 等待 Web 健康 ----
 echo "Waiting for Web to become healthy..."
@@ -216,7 +209,6 @@ while [ "$i" -lt 15 ]; do
   if curl -sf --max-time 5 http://127.0.0.1:3002/ >/dev/null 2>&1; then
     echo "Web is healthy!"
     break
-  fi
   i=$((i + 1))
   echo "  Waiting... ($i/15)"
   sleep 2
@@ -226,7 +218,6 @@ if [ "$i" -ge 15 ]; then
   echo "ERROR: Web did not become healthy within 30s"
   docker logs --tail 30 xiaoxia-web-production
   exit 1
-fi
 
 # ---- 清理旧镜像 ----
 echo "Cleaning up old images..."

infra/docker/deploy-staging-registry.sh

@@ -116,7 +116,7 @@ docker run -d \
   -v "$GENERATED_DIR:/app/generated" \
   --restart unless-stopped \
   --label com.centurylinklabs.watchtower.enable=true \
-  --health-cmd "sh -c \"for pid in /proc/[0-9]*/cmdline; do if grep -ql celery \"$pid\" 2>/dev/null; then exit 0; fi; done; exit 1\"" \
+  --health-cmd "sh -c \"grep -lq celery /proc/[0-9]*/cmdline 2>/dev/null || exit 1\"" \
   --health-interval 30s \
   --health-timeout 10s \
   --health-retries 3 \
@@ -124,23 +124,15 @@ docker run -d \
   "$LOCAL_WORKER"
 
 # ---- 启动 Web ----
-# Web 镜像默认打包 production nginx.conf，staging 需要挂载 staging 配置
-NGINX_CONF="${NGINX_CONF:-${COMPOSE_DIR}/nginx-staging.conf}"
-if [ ! -f "$NGINX_CONF" ]; then
-  echo "WARN: nginx config not found at $NGINX_CONF, using image default"
-  NGINX_VOLUME=""
-else
-  NGINX_VOLUME="-v ${NGINX_CONF}:/etc/nginx/conf.d/default.conf:ro"
-fi
-
 echo "Starting Web container..."
+docker rm -f xiaoxia-web-staging 2>/dev/null || true
 docker run -d \
   --name xiaoxia-web-staging \
   --network xiaoxia-net-staging \
   -p 127.0.0.1:3001:80 \
   --restart unless-stopped \
   --label com.centurylinklabs.watchtower.enable=true \
-  $NGINX_VOLUME \
+  -e APP_ENV=staging \
   --health-cmd "wget --spider -q http://127.0.0.1:80" \
   --health-interval 30s \
   --health-timeout 5s \

infra/docker/deploy-staging.sh

@@ -53,7 +53,6 @@ export API_IMAGE="${API_IMAGE:-${REGISTRY}/xiaoxia-saas-api:dev}"
 export WORKER_IMAGE="${WORKER_IMAGE:-${REGISTRY}/xiaoxia-saas-worker:dev}"
 
 # Use staging-specific nginx config (proxy_pass → xiaoxia-api-staging:8000)
-export WEB_NGINX_CONF=infra/docker/nginx-staging.conf
 
 if [ "${REBUILD_BACKEND:-0}" = "1" ] || [ "${BUILD_WEB:-0}" = "1" ]; then
   if [ "${ALLOW_STAGING_BUILDS:-false}" != "true" ]; then

infra/docker/nginx-entrypoint.sh

@@ -0,0 +1,49 @@
+#!/bin/sh
+# Select nginx config based on APP_ENV (staging/production).
+#
+# 两种运行模式：
+# 1. CI/CD 部署（staging/production）：部署脚本通过 `-v 宿主机文件:/etc/nginx/conf.d/default.conf:ro`
+#    把宿主机生成的带 resolver/docker upstream 的配置 bind mount 进来，entrypoint 不应改动。
+#    bind mount 的文件是 readonly 的，rm 会报 EBUSY ("Resource busy")，直接 exec nginx 即可。
+# 2. 本地 docker-compose / 直接 `docker run`（无外部挂载）：镜像烤入了 nginx-staging.conf 与
+#    nginx-production.conf 到 /etc/nginx/，entrypoint 根据 APP_ENV 把 default.conf 换成正确的 symlink。
+#
+# 策略：
+# - 如果 /etc/nginx/conf.d/default.conf 已经是指向目标 conf 的 symlink，什么都不做；
+# - 否则尝试 rm -f 再 ln -s；rm 失败说明是外部 bind mount（已有正确配置），不阻塞启动；
+# - 兜底：只要 conf.d 目录里有 .conf 文件（含 bind mount 来的），就直接启动 nginx。
+set -e
+
+NGINX_CONF_DIR="/etc/nginx/conf.d"
+TARGET_CONF=""
+
+case "${APP_ENV:-production}" in
+  staging)
+    TARGET_CONF="/etc/nginx/nginx-staging.conf"
+    ;;
+  *)
+    TARGET_CONF="/etc/nginx/nginx-production.conf"
+    ;;
+esac
+
+DEFAULT_CONF="$NGINX_CONF_DIR/default.conf"
+
+# 1. 已经是正确的 symlink：直接启动
+if [ -L "$DEFAULT_CONF" ] && [ "$(readlink "$DEFAULT_CONF" 2>/dev/null)" = "$TARGET_CONF" ]; then
+  exec nginx -g "daemon off;"
+fi
+
+# 2. 尝试替换为目标 symlink（无 bind mount 的场景）
+#    若 rm 失败（bind mount readonly，EBUSY/EPERM），则认为外部已注入配置，不阻塞。
+rm -f "$DEFAULT_CONF" 2>/dev/null || true
+if [ -f "$TARGET_CONF" ] && [ ! -e "$DEFAULT_CONF" ]; then
+  ln -s "$TARGET_CONF" "$DEFAULT_CONF" 2>/dev/null || true
+fi
+
+# 3. 兜底：至少要有一个 .conf 文件，否则 nginx 起不来
+if ! ls "$NGINX_CONF_DIR"/*.conf >/dev/null 2>&1; then
+  echo "ERROR: no nginx config found in $NGINX_CONF_DIR (tried $TARGET_CONF and external bind mount)" >&2
+  exit 1
+fi
+
+exec nginx -g "daemon off;"

infra/docker/web-artifact.Dockerfile

@@ -1,7 +1,11 @@
 FROM git.xiaoxiajianji.com/xiaoxia/base/nginx:alpine AS runner
-ARG NGINX_CONF=infra/docker/nginx.conf
 WORKDIR /usr/share/nginx/html
 COPY apps/web/dist ./
-COPY ${NGINX_CONF} /etc/nginx/conf.d/default.conf
+# 将所有 nginx 配置烤入镜像，entrypoint 按 APP_ENV 选择
+COPY infra/docker/nginx.conf /etc/nginx/nginx-production.conf
+COPY infra/docker/nginx-staging.conf /etc/nginx/nginx-staging.conf
+COPY infra/docker/nginx-production.conf /etc/nginx/nginx-production.conf
+COPY infra/docker/nginx-entrypoint.sh /docker-entrypoint.sh
+RUN chmod +x /docker-entrypoint.sh
 EXPOSE 80
-CMD ["nginx", "-g", "daemon off;"]
+ENTRYPOINT ["/docker-entrypoint.sh"]

infra/docker/web.Dockerfile

@@ -28,9 +28,13 @@ RUN --mount=type=cache,target=/app/apps/web/.tscache,sharing=locked \
 
 # Production stage with nginx
 FROM git.xiaoxiajianji.com/xiaoxia/base/nginx:alpine AS runner
-ARG NGINX_CONF=infra/docker/nginx.conf
 WORKDIR /usr/share/nginx/html
 COPY --from=builder /app/apps/web/dist ./
-COPY ${NGINX_CONF} /etc/nginx/conf.d/default.conf
+# 将所有 nginx 配置烤入镜像，entrypoint 按 APP_ENV 选择
+COPY infra/docker/nginx.conf /etc/nginx/nginx-production.conf
+COPY infra/docker/nginx-staging.conf /etc/nginx/nginx-staging.conf
+COPY infra/docker/nginx-production.conf /etc/nginx/nginx-production.conf
+COPY infra/docker/nginx-entrypoint.sh /docker-entrypoint.sh
+RUN chmod +x /docker-entrypoint.sh
 EXPOSE 80
-CMD ["nginx", "-g", "daemon off;"]
+ENTRYPOINT ["/docker-entrypoint.sh"]

infra/docker/worker.Dockerfile

@@ -20,7 +20,7 @@ WORKDIR /app
 
 # 设置 Python 环境变量
 ENV PATH="/opt/venv/bin:$PATH"
-ENV PYTHONPATH=/app:/app/packages
+ENV PYTHONPATH=/app:/app/apps/api:/app/packages
 ENV PYTHONUNBUFFERED=1
 ENV APP_VERSION=$APP_VERSION
 
@@ -28,8 +28,10 @@ ENV APP_VERSION=$APP_VERSION
 COPY alembic.ini /app/alembic.ini
 COPY migrations/ /app/migrations/
 COPY packages/ /app/packages/
-COPY apps/api/app/config.py /app/apps/api/app/config.py
-COPY apps/api/app/core/ /app/apps/api/app/core/
+# PR #1844 起，worker 还需要加载 apps.api.app.tasks.lipsync_tts，
+# 该 task 依赖 app.services.* 与 app.core.celery_app（PYTHONPATH=/app/apps/api 下解析）。
+# 为避免后续新增 task 再次漏 COPY，直接把整个 apps/api/app/ 复制进 worker 镜像。
+COPY apps/api/app/ /app/apps/api/app/
 
 # Worker 启动脚本
 COPY infra/docker/entrypoint-worker.sh /usr/local/bin/entrypoint-worker.sh
@@ -38,6 +40,10 @@ RUN chmod +x /usr/local/bin/entrypoint-worker.sh
 # 业务代码（变化最频繁，放最后）
 COPY apps/worker/ /app/apps/worker/
 
+# 健康检查：扫描所有进程的 cmdline 查找 celery 进程
+HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
+    CMD grep -lq celery /proc/[0-9]*/cmdline 2>/dev/null || exit 1
+
 USER celery
 WORKDIR /app/apps/worker
 CMD ["/usr/local/bin/entrypoint-worker.sh"]

packages/__init__.py

@@ -0,0 +1 @@
+# xiaoxia-saas shared packages namespace

packages/adapters/__init__.py

@@ -0,0 +1 @@
+# adapter implementations namespace

packages/adapters/sqlalchemy_impl/models.py

@@ -684,9 +684,15 @@ class LipsyncJobModel(Base):
 
     # 输入参数
     video_url = Column(Text, nullable=False)
-    audio_url = Column(Text, nullable=False)
+    audio_url = Column(Text, nullable=True)  # 直生模式（voice_id+script_text）下 TTS 合成后回填
     enable_video_loop = Column(Boolean, nullable=False, default=False)
 
+    # TTS 直生字段：传音色 + 文案，由后端先合成音频再对口型
+    voice_id = Column(String(200), nullable=False, default="")
+    script_text = Column(Text, nullable=False, default="")
+    speed = Column(Float, nullable=False, default=1.0)
+    emotion = Column(String(20), nullable=False, default="")
+
     # MediaKit 任务状态
     mediakit_task_id = Column(String(200), nullable=False, default="", index=True)
     status = Column(
@@ -697,6 +703,9 @@ class LipsyncJobModel(Base):
     error_message = Column(Text, nullable=False, default="")
     error_code = Column(String(100), nullable=False, default="")
 
+    # 精确句子时间戳（TTS 合成后由 silencedetect 计算，用于 B-roll 精确定位）
+    sentence_timings = Column(JSON, nullable=True)  # list[{index,text,start_time,end_time}]
+
     # 时间戳
     submitted_at = Column(DateTime, nullable=True)
     completed_at = Column(DateTime, nullable=True)
@@ -715,7 +724,8 @@ class AiAvatarRenderJob(Base):
 
     # 输入参数
     lipsync_job_id = Column(String(36), nullable=False)
-    script_id = Column(String(36), nullable=False)
+    # 文案 ID 可选：手动输入文案（TTS 直生）场景不关联文案库条目
+    script_id = Column(String(36), nullable=False, default="")
     b_roll_segments = Column(JSON, nullable=False, default=list)
     # b_roll_segments 格式: [{"script_segment_index": 0, "asset_url": "...", "mode": "fullscreen|pip", "start_time": 5.0, "end_time": 10.0}, ...]
     title_config = Column(JSON, nullable=False, default=dict)

packages/application/cosyvoice_service.py

@@ -25,6 +25,35 @@ from packages.shared.config import get_shared_settings
 logger = logging.getLogger(__name__)
 
 
+# CosyVoice 支持的情绪：中文标签 → API 英文值
+EMOTION_MAP = {
+    "自然": "natural",
+    "兴奋": "excited",
+    "沉稳": "calm",
+    "亲切": "friendly",
+    "natural": "natural",
+    "excited": "excited",
+    "calm": "calm",
+    "friendly": "friendly",
+}
+VALID_EMOTIONS = {"natural", "excited", "calm", "friendly"}
+
+
+def normalize_emotion(emotion: str) -> str:
+    """将前端情绪值归一化为 CosyVoice 英文枚举。
+
+    支持中文（自然/兴奋/沉稳/亲切）和英文；非法值返回空串（不传，走默认）。
+    """
+    if not emotion:
+        return ""
+    key = emotion.strip().lower()
+    mapped = EMOTION_MAP.get(emotion.strip()) or EMOTION_MAP.get(key)
+    if mapped and mapped in VALID_EMOTIONS:
+        return mapped
+    logger.warning("未知的 emotion 值，忽略: %r", emotion)
+    return ""
+
+
 class CosyVoiceError(Exception):
     """CosyVoice API 调用异常。"""
 
@@ -431,6 +460,7 @@ class CosyVoiceService:
         format: str = "",
         speed: float = 1.0,
         volume: int = 50,
+        emotion: str = "",
     ) -> dict:
         """提交语音合成任务（同步非流式，直接返回结果）.
 
@@ -444,6 +474,7 @@ class CosyVoiceService:
             format: 输出格式（mp3/wav/pcm），空表示使用配置默认值
             speed: 语速（0.5-2.0），1.0 为正常速度
             volume: 音量（0-100），默认 50
+            emotion: 情绪（natural/excited/calm/friendly），空串不传
 
         Returns:
             dict: {"audio_url": str, "request_id": str,
@@ -463,17 +494,20 @@ class CosyVoiceService:
 
         settings = get_shared_settings()
 
-        payload = {
-            "model": self._model,
-            "input": {
-                "text": text,
-                "voice": voice_id,
-                "format": format or settings.cosyvoice_format,
-                "sample_rate": sample_rate or settings.cosyvoice_sample_rate,
-                "rate": speed,
-                "volume": volume,
-            },
+        input_payload: dict[str, Any] = {
+            "text": text,
+            "voice": voice_id,
+            "format": format or settings.cosyvoice_format,
+            "sample_rate": sample_rate or settings.cosyvoice_sample_rate,
+            "rate": speed,
+            "volume": volume,
         }
+        # 情绪：归一化（中文→英文）后透传；空/非法则不传，走 CosyVoice 默认
+        norm_emotion = normalize_emotion(emotion)
+        if norm_emotion:
+            input_payload["emotion"] = norm_emotion
+
+        payload = {"model": self._model, "input": input_payload}
 
         response = self._call_api(
             method="POST",
@@ -490,6 +524,10 @@ class CosyVoiceService:
         if not audio_url:
             raise CosyVoiceError(f"CosyVoice API 未返回 audio_url: {response}")
 
+        # DashScope 返回 http://，统一升级为 https://
+        if audio_url.startswith("http://"):
+            audio_url = audio_url.replace("http://", "https://", 1)
+
         return {
             "task_id": "",  # 同步接口无 task_id，兼容旧接口
             "audio_url": audio_url,
@@ -517,6 +555,7 @@ class CosyVoiceService:
         format: str = "",
         speed: float = 1.0,
         volume: int = 50,
+        emotion: str = "",
         timeout: float = 120.0,
     ) -> SynthesizeResult:
         """语音合成（同步非流式）.
@@ -548,6 +587,7 @@ class CosyVoiceService:
             format=format,
             speed=speed,
             volume=volume,
+            emotion=emotion,
         )
 
         return SynthesizeResult(

packages/application/tts_job/workflow.py

@@ -143,11 +143,16 @@ class TTSWorkflowService:
             return self._start_segment_synthesis(job)
 
         try:
+            _meta = dict(job.metadata)
+            _speed = float(_meta.get("speed", 1.0) or 1.0)
+            _emotion = str(_meta.get("emotion", "") or "")
             submit_result = self.cosyvoice_service.submit_synthesize_task(
                 text=job.input_text,
                 voice_id=job.voice_id,
                 sample_rate=job.sample_rate,
                 format=job.format,
+                speed=_speed,
+                emotion=_emotion,
             )
 
             # 保存 task_id / request_id 到 metadata
@@ -283,6 +288,7 @@ class TTSWorkflowService:
             job_metadata = job.metadata or {}
             speed = float(job_metadata.get("speed", 1.0))
             volume = int(job_metadata.get("volume", 50))
+            emotion = str(job_metadata.get("emotion", "") or "")
 
             result = self.cosyvoice_service.submit_synthesize_task(
                 text=job.input_text,
@@ -291,6 +297,7 @@ class TTSWorkflowService:
                 format=job.format,
                 speed=speed,
                 volume=volume,
+                emotion=emotion,
             )
             audio_url = result.get("audio_url", "")
             if not audio_url:
@@ -401,6 +408,9 @@ class TTSWorkflowService:
         """
         max_workers = min(len(segments), _MAX_SEGMENT_WORKERS)
         results: list[dict | None] = [None] * len(segments)
+        _seg_meta = job.metadata or {}
+        _seg_speed = float(_seg_meta.get("speed", 1.0) or 1.0)
+        _seg_emotion = str(_seg_meta.get("emotion", "") or "")
 
         with ThreadPoolExecutor(max_workers=max_workers) as executor:
             future_to_idx = {}
@@ -411,6 +421,8 @@ class TTSWorkflowService:
                     voice_id=job.voice_id,
                     sample_rate=job.sample_rate,
                     format=job.format,
+                    speed=_seg_speed,
+                    emotion=_seg_emotion,
                 )
                 future_to_idx[future] = idx
 
@@ -500,6 +512,7 @@ class TTSWorkflowService:
         job_metadata = job.metadata or {}
         speed = float(job_metadata.get("speed", 1.0))
         volume = int(job_metadata.get("volume", 50))
+        emotion = str(job_metadata.get("emotion", "") or "")
 
         # 分段文本（用于缺失段重新合成）
         segments = split_text(job.input_text, max_chars=_SEGMENT_THRESHOLD)
@@ -534,6 +547,7 @@ class TTSWorkflowService:
                         format=job.format,
                         speed=speed,
                         volume=volume,
+                        emotion=emotion,
                     )
                     future_to_idx[future] = idx
 

packages/domain/generated_video.py

@@ -49,19 +49,17 @@ class GeneratedVideo:
         thumbnail_url: str | None = None,
         generation_params: dict[str, Any] | None = None,
     ) -> "GeneratedVideo":
-        if not project_id.strip():
-            raise ValueError("project_id cannot be empty")
-        if not generation_task_id.strip():
-            raise ValueError("generation_task_id cannot be empty")
-        if not name.strip():
+        # project_id / generation_task_id 允许为空：AI数字人等无项目场景下，前端可能不传 project_id；
+        # lipsync 路径下 generation_task_id 也可能暂时为空。空串会被下面统一兜底为 "" 入库。
+        if not name or not name.strip():
             raise ValueError("name cannot be empty")
-        if not file_url.strip():
+        if not file_url or not file_url.strip():
             raise ValueError("file_url cannot be empty")
         return cls(
             id=uuid4().hex,
-            project_id=project_id.strip(),
-            user_id=user_id.strip(),
-            generation_task_id=generation_task_id.strip(),
+            project_id=(project_id or "").strip(),
+            user_id=(user_id or "").strip(),
+            generation_task_id=(generation_task_id or "").strip(),
             name=name.strip(),
             file_url=file_url.strip(),
             file_size=file_size,