fix: AI数字人渲染 OSS 上传集成 SharedStorageService

- 替换 _upload_to_oss 占位实现为 get_shared_storage_service().upload_file_smart()
- 上传失败时抛出 AiAvatarRenderError(code='OSSUploadFailed')
- 支持大文件自动分片上传 + 超时保护

关联 Issue: #1798

.env.example

@@ -196,10 +196,3 @@ DOUBAO_MODEL=doubao-seed-1-6-250615
 DOUBAO_BASE_URL=https://ark.cn-beijing.volces.com/api/v3
 DOUBAO_TIMEOUT=30
 DOUBAO_MAX_RETRIES=2
-
-# ==================== 积分/会员系统 (#1895) ====================
-# 积分扣点总开关：默认 false（对现有用户零影响）。
-# P2 阶段各业务路由逐个接入 @points_gate 时，用
-#   `if settings.points_enabled: ...`
-# 包裹扣点逻辑；所有路由接入完成并验证通过后再在 staging/prod 打开。
-POINTS_ENABLED=false

.gitea/workflows/ci-pipeline.yml

@@ -20,7 +20,6 @@ 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
@@ -89,22 +88,9 @@ 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 "$GITHUB_REF" | sed 's|refs/pull/||; s|/.*||')
-        if command -v git >/dev/null 2>&1 && [ -d .git ]; then
-          FILES=$(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" >> $GITHUB_OUTPUT
-          exit 0
-        fi
+        API_URL="${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/pulls/${PR_NUMBER}/files?limit=300"
+        FILES=$(curl -s -H "Authorization: token ${GITHUB_TOKEN}" "$API_URL" | python3 -c "import sys,json; [print(f['filename']) for f in json.load(sys.stdin)]")
         FRONTEND_COUNT=$(echo "$FILES" | grep -c '^apps/web/' || true)
         BACKEND_COUNT=$(echo "$FILES" | grep -cv '^apps/web/' || true)
         TOTAL=$(echo "$FILES" | grep -cv '^$' || true)
@@ -196,7 +182,7 @@ jobs:
     - name: Run style checks
       shell: bash
       run: bash scripts/ci/validate_style.sh
-    - name: Auto-fix formatting (black + isort + ruff)
+    - name: Auto-fix formatting (black + isort)
       if: failure()
       shell: sh
       env:
@@ -827,6 +813,9 @@ jobs:
         CACHE_REF="${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=""
@@ -1022,22 +1011,15 @@ jobs:
         BRANCH_TAG="${IMAGE_FULL}:${GITHUB_REF_NAME}"
         CACHE_REF="${REGISTRY}/${{ matrix.cache_name }}:${GITHUB_REF_NAME}"
 
-        # develop 分支额外推送 :dev tag（Watchtower 监听的滚动更新 tag）
-        if [ "${GITHUB_REF_NAME}" = "develop" ]; then
-          DEV_TAG="${IMAGE_FULL}:dev"
-          EXTRA_TAGS="$BRANCH_TAG $DEV_TAG"
-          PUSHED_TAGS_SUMMARY="${BRANCH_TAG} + ${DEV_TAG}"
-        else
-          EXTRA_TAGS="$BRANCH_TAG"
-          PUSHED_TAGS_SUMMARY="${BRANCH_TAG}"
-        fi
-
         EXTRA_BUILD_ARGS="APP_VERSION=\"${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
           echo "=== Docker build 尝试 $i/3 (${{ matrix.service_display }}) ==="
-          if EXTRA_TAGS="$EXTRA_TAGS" bash scripts/ci/docker_build_push.sh $NO_CACHE_FLAG ${{ matrix.dockerfile }} "${IMAGE_TAG}" "${CACHE_REF}" $EXTRA_BUILD_ARGS; then
+          if EXTRA_TAGS="$BRANCH_TAG" bash scripts/ci/docker_build_push.sh $NO_CACHE_FLAG ${{ matrix.dockerfile }} "${IMAGE_TAG}" "${CACHE_REF}" $EXTRA_BUILD_ARGS; then
             echo "✅ Docker build 成功"
             break
           fi
@@ -1050,7 +1032,7 @@ jobs:
           fi
         done
 
-        echo "${{ matrix.service_display }} image pushed: ${IMAGE_TAG} (+ ${PUSHED_TAGS_SUMMARY})"
+        echo "${{ matrix.service_display }} image pushed: ${IMAGE_TAG} (+ ${BRANCH_TAG})"
 
     - name: Job duration summary
       if: always()
@@ -1254,11 +1236,9 @@ jobs:
         ACR_PASSWORD: ${{ secrets.ACR_PASSWORD }}
       run: |
         set -eux
-        # CI runner (act_runner) 部署在 116 staging 本机（116.62.226.203 公网 22 未开放），
-        # 默认走 127.0.0.1:22 本机 SSH，避免跨机网络依赖；可通过 secrets 覆盖。
-        staging_host="${STAGING_SSH_HOST:-127.0.0.1}"
+        staging_host="${STAGING_SSH_HOST:-47.98.113.167}"
         staging_user="${STAGING_SSH_USER:-root}"
-        staging_port="${STAGING_SSH_PORT:-22}"
+        staging_port="${STAGING_SSH_PORT:-22222}"
         echo "Host: $staging_host"
         echo "Port: $staging_port"
 
@@ -1482,6 +1462,7 @@ jobs:
       - validate-security
       - validate-python
       - unit-tests
+      - frontend-lint
       - frontend-unit-test
     if: github.event_name == 'push' && github.ref_name == 'main' && !failure() && !cancelled()
     strategy:
@@ -1572,6 +1553,9 @@ 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=""
@@ -2135,4 +2119,3 @@ jobs:
           START_TIME=""
           [ -f /tmp/ci_job_start_time ] && START_TIME=$(cat /tmp/ci_job_start_time)
           curl -sfH "Authorization: token ${GITHUB_TOKEN:-$GITEA_TOKEN}" -o /tmp/_ci_trace.py "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/ci_trace_report.py?ref=${GITHUB_SHA}" 2>/dev/null && python3 /tmp/_ci_trace.py --service xiaoxia-saas-ci --status $STATUS --start-time "$START_TIME" || true
-# CI retry trigger

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

@@ -1,60 +0,0 @@
-name: "Debug: Web container v2 (mount conflict)"
-on:
-  push:
-    branches: [debug/web-crash-v2]
-  workflow_dispatch:
-jobs:
-  web-diag:
-    runs-on: runtime-builder
-    timeout-minutes: 10
-    steps:
-      - name: Setup SSH and diagnose
-        shell: bash
-        env:
-          STAGING_SSH_KEY: ${{ secrets.PREVIEW_SSH_KEY }}
-        run: |
-          set -x
-          which ssh || (apt-get update -qq && apt-get install -y -qq openssh-client)
-          mkdir -p ~/.ssh && chmod 700 ~/.ssh
-          printf "%s" "$STAGING_SSH_KEY" > ~/.ssh/id_rsa
-          chmod 600 ~/.ssh/id_rsa
-          H=47.98.113.167; P=22222
-          ssh-keyscan -p $P -H $H >> ~/.ssh/known_hosts 2>/dev/null
-          ssh -p $P -i ~/.ssh/id_rsa -o StrictHostKeyChecking=no root@$H 'bash -s' <<'REMOTE'
-          set -x
-          echo "=== Current staging containers ==="
-          docker ps -a --filter name=xiaoxia-*-staging --format "table {{.Names}}\t{{.Status}}\t{{.Image}}"
-          echo ""
-          echo "=== Web container logs (current/current-rolledback) ==="
-          docker logs xiaoxia-web-staging 2>&1 | tail -40
-          echo ""
-          echo "=== Web inspect: env & mounts ==="
-          docker inspect xiaoxia-web-staging --format 'Entrypoint: {{.Config.Entrypoint}} Cmd: {{.Config.Cmd}}'
-          docker inspect xiaoxia-web-staging --format '{{range .Config.Env}}{{.}}{{"\n"}}{{end}}' | grep -E "APP_ENV|VERSION"
-          echo "Mounts:"
-          docker inspect xiaoxia-web-staging --format '{{range .Mounts}}{{.Type}} {{.Source}} -> {{.Destination}} (rw={{.RW}}){{"\n"}}{{end}}'
-          echo ""
-          echo "=== Reproduce: rm on read-only bind mount ==="
-          docker run --rm --name nginx-ro-test \
-            -v /var/lib/xiaoxia-saas-staging/nginx-staging.conf:/etc/nginx/conf.d/default.conf:ro \
-            git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas/xiaoxia-saas-web:387514c \
-            sh -c '
-              set -x
-              echo "Before:"
-              ls -la /etc/nginx/conf.d/
-              echo "Try rm (as entrypoint does):"
-              rm -f /etc/nginx/conf.d/default.conf
-              echo "rm exitcode=$?"
-              echo "After rm:"
-              ls -la /etc/nginx/conf.d/
-              echo "Test ln:"
-              ln -s /etc/nginx/nginx-staging.conf /etc/nginx/conf.d/default.conf
-              echo "ln exitcode=$?"
-              ls -la /etc/nginx/conf.d/
-              echo "nginx -t:"
-              nginx -t 2>&1
-            ' 2>&1
-          echo ""
-          echo "=== Also test with NEW fixed image (9c0d4b1 if present) ==="
-          docker images | grep xiaoxia-saas-web | head -5
-REMOTE

EMPTY_COMMIT.txt

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

README.md

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

alembic/versions/073_add_lipsync_tts_fields.py

@@ -1,45 +0,0 @@
-"""lipsync_jobs 增加 TTS 直生字段（voice_id/script_text/speed/emotion）
-
-Revision ID: 073_add_lipsync_tts_fields
-Revises: 072_add_ai_avatar_render
-Create Date: 2026-09-09
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "073_add_lipsync_tts_fields"
-down_revision = "072_add_ai_avatar_render"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # 对口型支持「传音色 + 文案直接生成」：后端内部先 TTS 合成音频再提交对口型
-    op.add_column(
-        "lipsync_jobs",
-        sa.Column("voice_id", sa.String(200), nullable=False, server_default=""),
-    )
-    op.add_column(
-        "lipsync_jobs",
-        sa.Column("script_text", sa.Text(), nullable=False, server_default=""),
-    )
-    op.add_column(
-        "lipsync_jobs",
-        sa.Column("speed", sa.Float(), nullable=False, server_default=sa.text("1.0")),
-    )
-    op.add_column(
-        "lipsync_jobs",
-        sa.Column("emotion", sa.String(20), nullable=False, server_default=""),
-    )
-    # audio_url 改为可空：直生模式下音频由后端 TTS 合成后回填
-    op.alter_column("lipsync_jobs", "audio_url", existing_type=sa.Text(), nullable=True)
-
-
-def downgrade() -> None:
-    op.alter_column("lipsync_jobs", "audio_url", existing_type=sa.Text(), nullable=False)
-    op.drop_column("lipsync_jobs", "emotion")
-    op.drop_column("lipsync_jobs", "speed")
-    op.drop_column("lipsync_jobs", "script_text")
-    op.drop_column("lipsync_jobs", "voice_id")

alembic/versions/074_ai_avatar_render_script_id_optional.py

@@ -1,36 +0,0 @@
-"""ai_avatar_render_jobs.script_id 放宽为可空串（手动文案直生场景不关联文案库）
-
-Revision ID: 074_render_script_id_optional
-Revises: 073_add_lipsync_tts_fields
-Create Date: 2026-09-09
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "074_render_script_id_optional"
-down_revision = "073_add_lipsync_tts_fields"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # 列保持 NOT NULL（空串占位），仅应用层允许不传；这里显式补 server_default 防止历史约束歧义
-    with op.batch_alter_table("ai_avatar_render_jobs") as batch:
-        batch.alter_column(
-            "script_id",
-            existing_type=sa.String(length=36),
-            nullable=False,
-            server_default="",
-        )
-
-
-def downgrade() -> None:
-    with op.batch_alter_table("ai_avatar_render_jobs") as batch:
-        batch.alter_column(
-            "script_id",
-            existing_type=sa.String(length=36),
-            nullable=False,
-            server_default=None,
-        )

alembic/versions/075_add_sentence_timings.py

@@ -1,27 +0,0 @@
-"""add sentence_timings to lipsync_jobs
-
-Revision ID: 075_add_sentence_timings
-Revises: 074_ai_avatar_render_script_id_optional
-Create Date: 2026-09-12
-"""
-
-import sqlalchemy as sa
-
-from alembic import op
-
-revision = "075_add_sentence_timings"
-down_revision = "074_render_script_id_optional"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    with op.batch_alter_table("lipsync_jobs") as batch:
-        batch.add_column(
-            sa.Column("sentence_timings", sa.JSON(), nullable=True),
-        )
-
-
-def downgrade() -> None:
-    with op.batch_alter_table("lipsync_jobs") as batch:
-        batch.drop_column("sentence_timings")

alembic/versions/076_membership_points.py

@@ -1,133 +0,0 @@
-"""add membership & points system
-
-Revision ID: 076_membership_points
-Revises: 075_add_sentence_timings
-Create Date: 2026-09-15
-"""
-
-import sqlalchemy as sa
-from sqlalchemy import text
-
-from alembic import op
-
-revision = "076_membership_points"
-down_revision = "075_add_sentence_timings"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # 1. users 表新增字段
-    with op.batch_alter_table("users") as batch:
-        batch.add_column(
-            sa.Column("is_member", sa.Boolean(), nullable=False, server_default=sa.text("false")),
-        )
-        batch.add_column(
-            sa.Column("member_type", sa.String(20), nullable=True),
-        )
-        batch.add_column(
-            sa.Column("member_expires_at", sa.DateTime(), nullable=True),
-        )
-        batch.add_column(
-            sa.Column("points_balance", sa.Integer(), nullable=False, server_default=sa.text("0")),
-        )
-
-    # 2. points_accounts 积分账户表
-    op.create_table(
-        "points_accounts",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column("user_id", sa.String(36), nullable=False, unique=True, index=True),
-        sa.Column("balance", sa.Integer(), nullable=False, server_default=sa.text("0")),
-        sa.Column("total_earned", sa.Integer(), nullable=False, server_default=sa.text("0")),
-        sa.Column("total_spent", sa.Integer(), nullable=False, server_default=sa.text("0")),
-        sa.Column(
-            "created_at",
-            sa.DateTime(),
-            nullable=False,
-            server_default=sa.text("NOW()"),
-        ),
-        sa.Column(
-            "updated_at",
-            sa.DateTime(),
-            nullable=False,
-            server_default=sa.text("NOW()"),
-        ),
-    )
-
-    # 3. points_transactions 积分流水表
-    op.create_table(
-        "points_transactions",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column("user_id", sa.String(36), nullable=False, index=True),
-        sa.Column("account_id", sa.String(36), nullable=False, index=True),
-        sa.Column("type", sa.String(20), nullable=False, index=True),
-        sa.Column("source", sa.String(50), nullable=False, index=True),
-        sa.Column("amount", sa.Integer(), nullable=False),
-        sa.Column("balance_after", sa.Integer(), nullable=False),
-        sa.Column("description", sa.String(255), nullable=False, server_default=""),
-        sa.Column("ref_id", sa.String(100), nullable=False, server_default=""),
-        sa.Column(
-            "created_at",
-            sa.DateTime(),
-            nullable=False,
-            server_default=sa.text("NOW()"),
-        ),
-    )
-
-    # 4. points_orders 积分/会员订单表
-    op.create_table(
-        "points_orders",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column("user_id", sa.String(36), nullable=False, index=True),
-        sa.Column("order_type", sa.String(20), nullable=False),
-        sa.Column("product_code", sa.String(50), nullable=False),
-        sa.Column("amount_cents", sa.Integer(), nullable=False),
-        sa.Column("original_amount_cents", sa.Integer(), nullable=False, server_default=sa.text("0")),
-        sa.Column("discount", sa.Float(), nullable=False, server_default=sa.text("1.0")),
-        sa.Column("points_amount", sa.Integer(), nullable=False, server_default=sa.text("0")),
-        sa.Column("status", sa.String(20), nullable=False, server_default="pending", index=True),
-        sa.Column("payment_method", sa.String(50), nullable=True),
-        sa.Column("payment_id", sa.String(100), nullable=True),
-        sa.Column("paid_at", sa.DateTime(), nullable=True),
-        sa.Column(
-            "created_at",
-            sa.DateTime(),
-            nullable=False,
-            server_default=sa.text("NOW()"),
-        ),
-    )
-
-    # 5. daily_usage_records 每日使用记录表
-    op.create_table(
-        "daily_usage_records",
-        sa.Column("id", sa.String(36), primary_key=True),
-        sa.Column("user_id", sa.String(36), nullable=False, index=True),
-        sa.Column("usage_date", sa.DateTime(), nullable=False),
-        sa.Column("usage_type", sa.String(50), nullable=False, server_default="free_clip"),
-        sa.Column("count", sa.Integer(), nullable=False, server_default=sa.text("0")),
-        sa.Column(
-            "updated_at",
-            sa.DateTime(),
-            nullable=False,
-            server_default=sa.text("NOW()"),
-        ),
-        sa.UniqueConstraint(
-            "user_id",
-            "usage_date",
-            "usage_type",
-            name="uq_daily_usage_user_date_type",
-        ),
-    )
-
-
-def downgrade() -> None:
-    op.drop_table("daily_usage_records")
-    op.drop_table("points_orders")
-    op.drop_table("points_transactions")
-    op.drop_table("points_accounts")
-
-    with op.batch_alter_table("users") as batch:
-        batch.drop_column("points_balance")
-        batch.drop_column("member_expires_at")
-        batch.drop_column("member_type")
-        batch.drop_column("is_member")

apps/api/app/api/router.py

@@ -6,7 +6,6 @@ from app.api.routes.assets import router as assets_router
 from app.api.routes.auth import router as auth_router
 from app.api.routes.chunked_upload import router as chunked_upload_router
 from app.api.routes.classification_jobs import router as classification_jobs_router
-from app.api.routes.clips_standalone import router as clips_standalone_router
 from app.api.routes.cover_templates import router as cover_templates_router
 from app.api.routes.duplication import router as duplication_router
 from app.api.routes.feature_flags import router as feature_flags_router
@@ -18,10 +17,8 @@ from app.api.routes.health import router as health_check_router
 from app.api.routes.ingest_jobs import router as ingest_jobs_router
 from app.api.routes.internal_render import router as internal_render_router
 from app.api.routes.lipsync import router as lipsync_router
-from app.api.routes.points import points_router, usage_router
 from app.api.routes.projects import router as projects_router
 from app.api.routes.scripts import router as scripts_router
-from app.api.routes.scripts_ai import router as scripts_ai_router
 from app.api.routes.share import router as share_router
 from app.api.routes.subscription import router as subscription_router
 from app.api.routes.tags import router as tags_router
@@ -159,10 +156,6 @@ api_router.include_router(
     prefix="/templates",
     tags=["Template"],
 )
-api_router.include_router(
-    clips_standalone_router,
-    tags=["Clips"],
-)
 api_router.include_router(
     templates_editor_router,
     prefix="/templates/{template_id}/editor",
@@ -191,23 +184,8 @@ api_router.include_router(
     prefix="/scripts",
     tags=["ScriptLibrary"],
 )
-api_router.include_router(
-    scripts_ai_router,
-    prefix="/scripts",
-    tags=["ScriptLibrary AI"],
-)
 api_router.include_router(
     ai_avatar_render_router,
     prefix="/ai-avatar/render",
     tags=["AI Avatar Render"],
 )
-api_router.include_router(
-    points_router,
-    prefix="/points",
-    tags=["Points"],
-)
-api_router.include_router(
-    usage_router,
-    prefix="/usage",
-    tags=["Usage"],
-)

apps/api/app/api/routes/_default_template.py

@@ -1,91 +0,0 @@
-"""默认模板兜底共享逻辑（P0 #1922）.
-
-提供 get_or_create_default_template_id(db, user_id) 共享函数，
-供 templates.py 列表查询、clips_standalone.py 独立端点、dependencies.py
-resolve_draft_plan_id 三处复用，避免三处各写一套兜底逻辑产生分叉。
-
-根因：PR#1918 清理模板管理 API 时误删了 GET /templates 自动创建默认模板
-兜底，前端 PR#1913 去掉空 tid 拦截后首次进入生成页拼出
-/templates//editor/clips/from-assets（双斜杠）→ FastAPI 404，阻断新用户首次
-生成。
-"""
-
-from __future__ import annotations
-
-import logging
-from typing import Optional
-
-from sqlalchemy.orm import Session
-
-logger = logging.getLogger(__name__)
-
-
-def get_or_create_default_template_id(db: Session, user_id: str) -> Optional[str]:
-    """获取或自动创建默认配音模板的 id。
-
-    判定逻辑（不做异常降级，只有确实创建失败时才回滚重查）：
-    1. 查用户名下 is_active=True 且有 TemplateClipConfig 的模板 → 返回其 id；
-    2. 无则调用 CreateTemplateUseCase 创建一条默认 voice_over 模板；
-    3. 创建异常时 rollback 再重查一次（防并发唯一键冲突），重查仍无返回 None。
-    """
-    from packages.adapters.sqlalchemy_impl.models import (
-        TemplateClipConfigModel,
-        TemplateModel,
-    )
-    from packages.adapters.sqlalchemy_impl.template_repository import (
-        SQLAlchemyTemplateRepository,
-    )
-    from packages.application.template.commands import (
-        CreateTemplateCommand,
-        SegmentCommand,
-    )
-    from packages.application.template.use_cases import CreateTemplateUseCase
-
-    existing = (
-        db.query(TemplateModel)
-        .filter(TemplateModel.user_id == user_id, TemplateModel.is_active.is_(True))
-        .order_by(TemplateModel.created_at.asc())
-        .first()
-    )
-    if existing is not None:
-        has_seg = (
-            db.query(TemplateClipConfigModel.id).filter(TemplateClipConfigModel.template_id == existing.id).first()
-        )
-        if has_seg:
-            return existing.id
-
-    try:
-        repo = SQLAlchemyTemplateRepository(db)
-        cmd = CreateTemplateCommand(
-            user_id=user_id,
-            name="默认配音模板",
-            mode="voice_over",
-            category="default",
-            tags=[],
-            title_config={},
-            subtitle_config={},
-            bgm_config={},
-            estimated_duration=0.0,
-            segments=[SegmentCommand(segment_order=0, duration_min=1.0, duration_max=30.0)],
-        )
-        tpl = CreateTemplateUseCase(repo).execute(cmd)
-        db.commit()
-        logger.info("auto-created default voice_over template: id=%s user=%s", tpl.id, user_id)
-        return tpl.id
-    except Exception:
-        db.rollback()
-        # 重查：可能并发请求已建好
-        existing = (
-            db.query(TemplateModel)
-            .filter(TemplateModel.user_id == user_id, TemplateModel.is_active.is_(True))
-            .order_by(TemplateModel.created_at.asc())
-            .first()
-        )
-        if existing is not None:
-            has_seg = (
-                db.query(TemplateClipConfigModel.id).filter(TemplateClipConfigModel.template_id == existing.id).first()
-            )
-            if has_seg:
-                return existing.id
-        logger.exception("failed to auto-create default template user=%s", user_id)
-        return None

apps/api/app/api/routes/_helpers.py

@@ -1,6 +1,6 @@
 """路由层共享辅助函数 — 消除跨文件重复定义。"""
 
-from datetime import UTC, datetime
+from datetime import datetime, timezone
 from typing import Any
 
 from fastapi import HTTPException, status
@@ -138,4 +138,4 @@ def format_utc_datetime(dt: datetime | None) -> str:
         return dt
     if dt.tzinfo is None:
         return dt.isoformat() + "Z"
-    return dt.astimezone(UTC).isoformat().replace("+00:00", "Z")
+    return dt.astimezone(timezone.utc).isoformat().replace("+00:00", "Z")

apps/api/app/api/routes/ai.py

@@ -5,7 +5,7 @@
 
 from __future__ import annotations
 
-from typing import Literal
+from typing import List, Literal
 
 from app.services.ai_service import TITLE_STYLES, generate_smart_titles, semantic_match_assets
 from fastapi import APIRouter
@@ -31,7 +31,7 @@ class GenerateTitlesRequest(BaseModel):
 class GenerateTitlesResponse(BaseModel):
     """智能标题生成响应."""
 
-    titles: list[str] = Field(..., description="生成的标题列表")
+    titles: List[str] = Field(..., description="生成的标题列表")
     style: str = Field(..., description="实际使用的风格")
     source: str = Field(..., description="来源：doubao 或 fallback")
     description: str = Field(..., description="原始描述")
@@ -53,7 +53,7 @@ class AssetMatchItem(BaseModel):
 
     id: str = Field(..., description="素材ID")
     name: str = Field(default="", description="素材名称")
-    tags: list[str] = Field(default_factory=list, description="标签列表")
+    tags: List[str] = Field(default_factory=list, description="标签列表")
     description: str = Field(default="", description="素材描述")
 
 
@@ -61,7 +61,7 @@ class SemanticMatchRequest(BaseModel):
     """语义匹配请求."""
 
     description: str = Field(..., min_length=1, max_length=500, description="目标视频内容描述")
-    assets: list[AssetMatchItem] = Field(..., min_length=1, max_length=100, description="待匹配素材列表")
+    assets: List[AssetMatchItem] = Field(..., min_length=1, max_length=100, description="待匹配素材列表")
     top_k: int = Field(default=0, ge=0, le=100, description="返回前K个，0返回全部")
 
 
@@ -75,7 +75,7 @@ class SemanticMatchResultItem(AssetMatchItem):
 class SemanticMatchResponse(BaseModel):
     """语义匹配响应."""
 
-    matches: list[SemanticMatchResultItem] = Field(..., description="按匹配度降序排列的素材列表")
+    matches: List[SemanticMatchResultItem] = Field(..., description="按匹配度降序排列的素材列表")
     source: str = Field(..., description="来源：doubao / fallback")
     description: str = Field(..., description="原始描述")
     total: int = Field(..., description="输入素材总数")
@@ -99,7 +99,7 @@ def generate_titles(request: GenerateTitlesRequest):
     return GenerateTitlesResponse(**result)
 
 
-@router.get("/titles/styles", response_model=list[TitleStyleInfo])
+@router.get("/titles/styles", response_model=List[TitleStyleInfo])
 def list_title_styles():
     """获取支持的标题风格列表."""
     return [

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

@@ -11,18 +11,13 @@
 from __future__ import annotations
 
 import logging
-from datetime import UTC, datetime
 
 from app.auth import AuthenticatedUser, get_current_user
-from packages.middleware.points_gate import points_gate
 from app.dependencies import get_db_session
 from app.schemas.ai_avatar_render import (
     AiAvatarRenderJobResponse,
     CreateAiAvatarRenderRequest,
-    FinalizeRenderResponse,
-    SmartCoverResponse,
 )
-from app.services.ai_avatar_cover_service import generate_smart_cover
 from app.services.ai_avatar_render_service import (
     AiAvatarRenderError,
     AiAvatarRenderService,
@@ -43,12 +38,10 @@ def _get_service(db: Session = Depends(get_db_session)) -> AiAvatarRenderService
 
 
 @router.post("", response_model=AiAvatarRenderJobResponse, status_code=201)
-@points_gate("ai_digital_human", per_unit=15)
 def create_render_job(
     body: CreateAiAvatarRenderRequest,
     current_user: AuthenticatedUser = Depends(get_current_user),
     svc: AiAvatarRenderService = Depends(_get_service),
-    db: Session = Depends(get_db_session),
 ):
     """提交 AI 数字人渲染任务.
 
@@ -56,7 +49,7 @@ def create_render_job(
     """
     try:
         job = svc.create_render_job(
-            user_id=current_user.user.id,
+            user_id=current_user.id,
             lipsync_job_id=body.lipsync_job_id,
             script_id=body.script_id,
             b_roll_segments=[s.model_dump() for s in body.b_roll_segments],
@@ -81,16 +74,10 @@ def create_render_job(
         from app.tasks.ai_avatar_render import execute_ai_avatar_render
 
         execute_ai_avatar_render.delay(job.id)
-    except Exception as exc:
-        logger.exception("Celery 任务投递失败（创建）: job_id=%s err=%s", job.id, exc)
-        job.status = "failed"
-        job.error_message = f"任务提交失败：{exc}"
-        job.updated_at = datetime.now(UTC)
-        svc.db.commit()
-        svc.db.refresh(job)
-        return AiAvatarRenderJobResponse.model_validate(job)
+    except Exception:
+        logger.warning("Celery 任务提交失败，渲染任务已创建但未触发执行: %s", job.id)
 
-    return AiAvatarRenderJobResponse.model_validate(job)
+    return job
 
 
 # ── GET /jobs — 任务列表 ─────────────────────────────────────────────────
@@ -107,7 +94,7 @@ 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.user.id,
+        user_id=current_user.id,
         project_id=project_id,
         status=status,
         offset=offset,
@@ -131,7 +118,7 @@ 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.user.id)
+    job = svc.get_render_job(job_id, current_user.id)
     if job is None:
         raise HTTPException(status_code=404, detail="渲染任务不存在")
     return job
@@ -147,7 +134,7 @@ 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.user.id)
+    job = svc.cancel_render_job(job_id, current_user.id)
     if job is None:
         raise HTTPException(status_code=404, detail="渲染任务不存在")
     if job.status != "cancelled":
@@ -168,7 +155,7 @@ 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.user.id)
+    job = svc.retry_render_job(job_id, current_user.id)
     if job is None:
         raise HTTPException(status_code=404, detail="渲染任务不存在")
     if job.status != "pending":
@@ -182,146 +169,7 @@ def retry_render_job(
         from app.tasks.ai_avatar_render import execute_ai_avatar_render
 
         execute_ai_avatar_render.delay(job.id)
-    except Exception as exc:
-        logger.exception("Celery 任务投递失败（重试）: job_id=%s err=%s", job.id, exc)
-        job.status = "failed"
-        job.error_message = f"任务提交失败：{exc}"
-        job.updated_at = datetime.now(UTC)
-        svc.db.commit()
-        svc.db.refresh(job)
-        return AiAvatarRenderJobResponse.model_validate(job)
+    except Exception:
+        logger.warning("Celery 任务提交失败，重试任务已重置但未触发执行: %s", job.id)
 
-    return AiAvatarRenderJobResponse.model_validate(job)
-
-
-# ── POST /{job_id}/smart-cover — 从最终成片智能抽封面（步骤②）────────
-
-
-@router.post("/{job_id}/smart-cover", response_model=SmartCoverResponse)
-def generate_render_smart_cover(
-    job_id: str,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-):
-    """从最终渲染成片智能抽帧生成封面（MediaKit 抽帧 + 评分选最佳帧 + 转存 OSS）.
-
-    - 必须等渲染任务 completed 后才可调用（否则返回 400）
-    - 生成成功后自动更新 render_job 的 cover_config 与 output_cover_url
-    """
-    from app.services.ai_avatar_render_service import AiAvatarRenderService
-
-    svc = AiAvatarRenderService(db)
-    job = svc.get_render_job(job_id, current_user.user.id)
-    if job is None:
-        raise HTTPException(status_code=404, detail="渲染任务不存在")
-    if job.status != "completed":
-        raise HTTPException(status_code=400, detail="请先完成视频生成")
-    video_url = (job.output_video_url or "").strip()
-    if not video_url:
-        raise HTTPException(status_code=400, detail="渲染成片视频 URL 为空")
-
-    try:
-        # 从最终成片抽帧，帧本身已含标题/B-roll，直接转存 OSS
-        cover_url = generate_smart_cover(video_url, job_id=job_id, max_frames=5)
-    except Exception as exc:
-        logger.error(
-            "渲染成片智能封面生成异常: user=%s render_id=%s video_url=%s err=%s",
-            current_user.user.id,
-            job_id,
-            video_url[:80],
-            exc,
-            exc_info=True,
-        )
-        cover_url = ""
-
-    if not cover_url:
-        return SmartCoverResponse(
-            cover_url="",
-            status="fallback_failed",
-            message="智能抽帧失败（MediaKit 不可用或抽帧异常），请稍后重试",
-        )
-
-    # 更新 render_job 的封面字段（异步写入 DB；失败不影响返回）
-    try:
-        job.cover_config = {
-            **(job.cover_config if isinstance(job.cover_config, dict) else {}),
-            "mode": "auto_frame",
-            "url": cover_url,
-        }
-        job.output_cover_url = cover_url
-        job.updated_at = datetime.now(UTC)
-        db.commit()
-    except Exception as exc:
-        logger.warning("更新 render_job 封面字段失败（不影响返回）: job_id=%s err=%s", job_id, exc)
-
-    logger.info(
-        "渲染成片智能封面生成成功: user=%s render_id=%s cover_url=%s",
-        current_user.user.id,
-        job_id,
-        cover_url[:120],
-    )
-    return SmartCoverResponse(cover_url=cover_url, status="completed")
-
-# ── POST /{job_id}/finalize — 封面选定后正式入库成片库 ────────────────────
-
-
-@router.post("/{job_id}/finalize", response_model=FinalizeRenderResponse)
-def finalize_render_job(
-    job_id: str,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-):
-    """用户完成封面选择后，将视频正式保存到成片库.
-
-    - 必须等渲染任务 completed 后才可调用
-    - 如果已通过 smart-cover/custom-cover 设置了封面，会自动带上
-    - 返回成片库视频ID
-    - 幂等：已 finalize 的任务重复调用会返回 existing 记录
-    """
-    from app.services.ai_avatar_render_service import AiAvatarRenderError, AiAvatarRenderService
-
-    svc = AiAvatarRenderService(db)
-    job = svc.get_render_job(job_id, current_user.user.id)
-    if job is None:
-        raise HTTPException(status_code=404, detail="渲染任务不存在")
-    if job.status != "completed":
-        raise HTTPException(status_code=400, detail="请先完成视频生成")
-
-    # 幂等检查（通过 generation_task_id=job_id 识别，finalize_job 内部也做了一次，这里提前返回简化）
-    from packages.adapters.sqlalchemy_impl.models import GeneratedVideoModel
-
-    existing = (
-        db.query(GeneratedVideoModel)
-        .filter(
-            GeneratedVideoModel.user_id == current_user.user.id,
-            GeneratedVideoModel.generation_task_id == job_id,
-        )
-        .first()
-    )
-    if existing is not None:
-        return FinalizeRenderResponse(
-            video_id=existing.id,
-            cover_url=existing.thumbnail_url or "",
-            status="already_finalized",
-        )
-
-    try:
-        video = svc.finalize_job(job_id, current_user.user.id)
-        return FinalizeRenderResponse(
-            video_id=video.id,
-            cover_url=video.thumbnail_url or job.output_cover_url or "",
-            status="success",
-        )
-    except AiAvatarRenderError as exc:
-        status_map = {
-            "RenderJobNotFound": 404,
-            "RenderNotCompleted": 400,
-            "OutputVideoMissing": 400,
-        }
-        raise HTTPException(
-            status_code=status_map.get(exc.code, 400),
-            detail=str(exc),
-        ) from exc
-    except Exception as exc:
-        logger.error("渲染任务finalize失败: job_id=%s err=%s", job_id, exc, exc_info=True)
-        raise HTTPException(status_code=500, detail=f"保存到成片库失败: {str(exc)}") from exc
+    return job

apps/api/app/api/routes/assets.py

@@ -1,5 +1,5 @@
 import logging
-from typing import Any, Optional
+from typing import Any, List, Optional
 
 from app.api.routes._helpers import check_project_access, format_utc_datetime
 from app.auth import AuthenticatedUser, get_current_user
@@ -390,7 +390,7 @@ def update_asset_review_status(
     return _to_asset_response(updated)
 
 
-@router.post("/batch", response_model=list[AssetResponse])
+@router.post("/batch", response_model=List[AssetResponse])
 def batch_get_assets(
     request: BatchGetRequest,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),

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

@@ -8,7 +8,7 @@ import json
 import logging
 import shutil
 import tempfile
-from datetime import UTC, datetime, timedelta
+from datetime import datetime, timedelta, timezone
 from pathlib import Path
 from typing import Any
 from uuid import uuid4
@@ -156,7 +156,7 @@ def _cleanup_expired_uploads() -> int:
     if not CHUNK_STORAGE_ROOT.exists():
         return 0
 
-    now = datetime.now(UTC)
+    now = datetime.now(timezone.utc)
     cleaned = 0
 
     for meta_file in CHUNK_STORAGE_ROOT.glob("*.meta.json"):
@@ -166,7 +166,7 @@ def _cleanup_expired_uploads() -> int:
 
             expires_at = datetime.fromisoformat(meta["expires_at"])
             if expires_at.tzinfo is None:
-                expires_at = expires_at.replace(tzinfo=UTC)
+                expires_at = expires_at.replace(tzinfo=timezone.utc)
 
             # Only cleanup uploads that are not actively being uploaded
             if expires_at < now and meta.get("status") != "uploading":
@@ -177,8 +177,8 @@ def _cleanup_expired_uploads() -> int:
                 meta_file.unlink()
                 cleaned += 1
                 logger.info(f"Cleaned up expired upload: {upload_id}")
-        except Exception:
-            logger.exception("Failed to cleanup upload metadata: %s", meta_file)
+        except Exception as e:
+            logger.warning(f"Failed to cleanup upload metadata {meta_file}: {e}")
 
     return cleaned
 
@@ -226,7 +226,7 @@ async def init_chunked_upload(
 
     # Generate upload ID
     upload_id = uuid4().hex
-    now = datetime.now(UTC)
+    now = datetime.now(timezone.utc)
     expires_at = now + timedelta(hours=CHUNK_EXPIRY_HOURS)
 
     # Create chunk directory
@@ -421,9 +421,9 @@ async def upload_chunk(
     # Check expiry
     expires_at = datetime.fromisoformat(meta["expires_at"])
     if expires_at.tzinfo is None:
-        expires_at = expires_at.replace(tzinfo=UTC)
+        expires_at = expires_at.replace(tzinfo=timezone.utc)
 
-    if expires_at < datetime.now(UTC):
+    if expires_at < datetime.now(timezone.utc):
         raise HTTPException(status_code=status.HTTP_410_GONE, detail="Upload has expired")
 
     # Validate chunk index

apps/api/app/api/routes/clips_standalone.py

@@ -1,90 +0,0 @@
-"""独立的从素材创建片段端点（不依赖 template_id 路径参数）.
-
-POST /api/v1/clips/from-assets
-- 与 /api/v1/templates/{template_id}/editor/clips/from-assets 功能一致
-- 区别：template_id 从 body 传入（可选），为空时后端自动创建/查找默认模板
-- 解决前端首次加载时 templateId 为空导致双斜杠 404 的问题（P0 #1922）
-- 内部复用 resolve_draft_plan_id 和 create_clips_from_assets_editor 的核心逻辑
-"""
-
-from __future__ import annotations
-
-import logging
-
-from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_asset_repository, get_db_session
-from app.services.edit_plan_service import EditPlanService
-from app.services.edit_template_service import EditTemplateService
-from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, status
-from sqlalchemy.orm import Session
-
-from packages.adapters.sqlalchemy_impl.asset_repository import SQLAlchemyAssetRepository
-
-from ._default_template import get_or_create_default_template_id
-from .templates_editor.clips import create_clips_from_assets_editor
-from .templates_editor.dependencies import resolve_draft_plan_id
-from .templates_editor.schemas import ClipsFromAssetsRequest, ClipsFromAssetsResponse
-
-logger = logging.getLogger(__name__)
-router = APIRouter(tags=["Clips"])
-
-
-class StandaloneClipsRequest(ClipsFromAssetsRequest):
-    """扩展请求：template_id 可选（不传则后端自动兜底默认模板）。"""
-
-    template_id: str | None = None
-
-
-def _get_editor_services_direct(db: Session) -> tuple[EditTemplateService, EditPlanService]:
-    """直接构造服务实例（非 Depends 版本，供独立端点内部调用）。"""
-    return EditTemplateService(db), EditPlanService(db)
-
-
-@router.post("/clips/from-assets", response_model=ClipsFromAssetsResponse)
-def create_clips_from_assets(
-    body: StandaloneClipsRequest,
-    background_tasks: BackgroundTasks,
-    db: Session = Depends(get_db_session),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    asset_repo: SQLAlchemyAssetRepository = Depends(get_asset_repository),
-) -> ClipsFromAssetsResponse:
-    """从素材批量创建片段（template_id 可选，为空自动兜底）。"""
-    user_id = str(current_user.user.id)
-    services = _get_editor_services_direct(db)
-
-    # 1. 解析/兜底 template_id，拿到 plan_id
-    template_id = (body.template_id or "").strip()
-    if not template_id:
-        template_id = get_or_create_default_template_id(db, user_id)
-        if not template_id:
-            raise HTTPException(
-                status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-                detail="无法自动创建默认模板，请刷新页面重试",
-            )
-    plan_id = resolve_draft_plan_id(
-        template_id=template_id,
-        services=services,
-        current_user=current_user,
-        db=db,
-        auto_create_default=False,  # 上面已兜底过
-    )
-
-    # 2. 构造标准化请求（去除独立端扩展字段），复用原端点核心逻辑
-    core_body = ClipsFromAssetsRequest(
-        asset_ids=body.asset_ids,
-        clip_type=body.clip_type,
-        clip_count=body.clip_count,
-        required_clips_count=body.required_clips_count,
-    )
-
-    # 3. 直接调用原端点函数（此时所有 Depends 依赖已手动传入）
-    return create_clips_from_assets_editor(
-        template_id=template_id,
-        body=core_body,
-        background_tasks=background_tasks,
-        plan_id=plan_id,
-        services=services,
-        asset_repo=asset_repo,
-        db=db,
-        current_user=current_user,
-    )

apps/api/app/api/routes/generation_cover.py

@@ -11,7 +11,7 @@ from __future__ import annotations
 import ipaddress
 import logging
 import re
-from typing import Any, Optional
+from typing import Any, List, Optional
 from urllib.parse import urlparse
 
 from app.auth import AuthenticatedUser, get_current_user
@@ -41,7 +41,7 @@ router = APIRouter(tags=["Generation"])
 class GenerateCoverRequest(BaseModel):
     """AI 封面生成请求体"""
 
-    asset_ids: list[str] = Field(default_factory=list, description="素材 ID 列表（确定视频来源）")
+    asset_ids: List[str] = Field(default_factory=list, description="素材 ID 列表（确定视频来源）")
     cover_type: str = Field(
         default="ai_frame",
         description="封面类型: ai_frame / manual / upload / ai_regenerate",
@@ -766,12 +766,7 @@ def generate_cover(
             storage_svc = get_shared_storage_service()
             mk_client = get_mediakit_client()
             # 从 plan.config 读取完整标题样式，E2 从源素材抽帧时叠加（源素材本身无标题）
-            # #1901 统一读 "title"，兼容老数据 "title_config"
             _e2_title_cfg = (plan.config or {}).get("title", {}) or {}
-            if not isinstance(_e2_title_cfg, dict) or not (_e2_title_cfg.get("text") or "").strip():
-                _alt = (plan.config or {}).get("title_config", {}) or {}
-                if isinstance(_alt, dict):
-                    _e2_title_cfg = _alt
             if not isinstance(_e2_title_cfg, dict):
                 _e2_title_cfg = {}
             _e2_title_text = (_e2_title_cfg.get("text", "") or "").strip() if _e2_title_cfg.get("enabled", True) else ""

apps/api/app/api/routes/generation_preview.py

@@ -8,7 +8,6 @@ from __future__ import annotations
 import logging
 
 from app.auth import AuthenticatedUser, get_current_user
-from packages.middleware.points_gate import points_gate
 from app.core.storage import get_storage_service
 from app.core.task_enqueue import (
     GLOBAL_PENDING_LIMIT,
@@ -272,7 +271,6 @@ def _variant_value(values: list[str], index: int, fallback: str = "") -> str:
 
 
 @router.post("/preview", response_model=BatchPreviewGenerationTaskResponse, status_code=201)
-@points_gate("ai_video", quantity_field="preview_count")
 def create_preview_generation_task(
     request: CreatePreviewGenerationTaskRequest,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),

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

@@ -4,7 +4,6 @@ from typing import Any
 
 from app.api.routes._helpers import check_project_access
 from app.auth import AuthenticatedUser, get_current_user
-from packages.middleware.points_gate import points_gate
 from app.core.storage import OSSStorageService, get_storage_service
 from app.core.task_enqueue import (
     GLOBAL_PENDING_LIMIT,
@@ -59,10 +58,27 @@ def _variant_value(values: list[str], index: int, fallback: str = "") -> str:
 
 
 def _query_voice_durations(db: Session, voice_ids: list[str]) -> list[float]:
-    """[已下沉] 路由层兼容别名 → app.services.generation_common.query_voice_durations。"""
-    from app.services.generation_common import query_voice_durations
+    """批量查询配音素材时长（秒），#1749 配音时长分配用。
 
-    return query_voice_durations(db, voice_ids)
+    逐项 try/float 硬化：MagicMock/异常/缺失 → 0.0（无配音不分配，不阻断）。
+    """
+    ids = [v for v in dict.fromkeys(voice_ids or []) if v]
+    if not ids:
+        return []
+    try:
+        from packages.adapters.sqlalchemy_impl.models import AssetModel
+
+        rows = db.query(AssetModel.id, AssetModel.duration).filter(AssetModel.id.in_(ids)).all()
+        dur_map: dict[str, float] = {}
+        for row in rows:
+            try:
+                dur_map[row[0]] = float(row[1] or 0.0)
+            except (TypeError, ValueError):
+                dur_map[row[0]] = 0.0
+        return [dur_map.get(v, 0.0) for v in ids]
+    except Exception:
+        logger.warning("[生成任务] 配音时长查询失败（按无配音处理，不阻断）", exc_info=True)
+        return [0.0 for _ in ids]
 
 
 def _to_generation_task_response(task) -> GenerationTaskResponse:
@@ -168,10 +184,61 @@ def _writeback_edit_plan_config(
     title_config: dict | None,
     db: Session,
 ) -> None:
-    """[已下沉] 路由层兼容别名 → app.services.generation_common.writeback_edit_plan_config。"""
-    from app.services.generation_common import writeback_edit_plan_config
+    """任务入队成功后，回写 EditPlan.config：generation_task_id + title_config。
 
-    return writeback_edit_plan_config(plan_id, task_id, title_config, db)
+    用 merge 方式更新，不整体覆盖 config，避免丢失其他字段。
+    失败只记日志，不影响任务创建。
+    """
+    if not plan_id:
+        return
+    try:
+        from packages.adapters.sqlalchemy_impl.models import EditPlanModel
+
+        plan_model = db.query(EditPlanModel).filter(EditPlanModel.id == plan_id).first()
+        if plan_model is None:
+            logger.warning("[生成任务] 回写plan.config失败: plan不存在 plan_id=%s", plan_id)
+            return
+
+        current_config = plan_model.config if isinstance(plan_model.config, dict) else {}
+        merged = dict(current_config)
+        merged["generation_task_id"] = task_id
+
+        # 检查标题是否发生变化，如果变化则清除 cover 字段强制重新生成封面
+        if title_config:
+            old_title_config = merged.get("title_config", {}) or {}
+            old_title_text = (old_title_config.get("text") or "").strip()
+            new_title_text = (title_config.get("text") or "").strip()
+            if old_title_text != new_title_text:
+                # 标题变化，清除旧封面
+                if "cover" in merged:
+                    del merged["cover"]
+                    logger.info(
+                        "[生成任务] 标题变化，清除旧封面: plan_id=%s old_title=%s new_title=%s",
+                        plan_id,
+                        old_title_text,
+                        new_title_text,
+                    )
+            merged["title_config"] = title_config
+
+        plan_model.config = merged
+        db.commit()
+        logger.info(
+            "[生成任务] 回写plan.config成功: plan_id=%s task_id=%s keys=%s",
+            plan_id,
+            task_id,
+            list(merged.keys()),
+        )
+    except Exception as e:
+        logger.warning(
+            "[生成任务] 回写plan.config异常（不影响任务创建）: plan_id=%s error=%s",
+            plan_id,
+            e,
+            exc_info=True,
+        )
+        try:
+            db.rollback()
+        except Exception:
+            pass
 
 
 def _resolve_project_and_library(
@@ -212,7 +279,6 @@ def _resolve_project_and_library(
 
 
 @router.post("/tasks", response_model=BatchGenerationTaskResponse)
-@points_gate("ai_video", quantity_field="count")
 def create_generation_task(
     request: CreateGenerationTaskRequest,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
@@ -423,14 +489,25 @@ def create_generation_task(
         # 各变体配音时长（查询硬化：异常 → 0.0 不阻断）
         voice_durations = _query_voice_durations(db, variant_voices)
 
-        # 解析批量源 plan：优先前端传入；否则按 template_id + user 查最新（公共函数）
-        from app.services.generation_common import resolve_latest_plan_by_template
+        # 解析批量源 plan：优先前端传入；否则按 template_id + user 查最新（与单任务兜底同源）
+        batch_source_plan_id = request.source_edit_plan_id
+        if not batch_source_plan_id and request.template_id:
+            try:
+                from packages.adapters.sqlalchemy_impl.models import EditPlanModel
 
-        batch_source_plan_id = (
-            request.source_edit_plan_id
-            or resolve_latest_plan_by_template(db, template_id=request.template_id, user_id=user_id)
-            or ""
-        )
+                _latest = (
+                    db.query(EditPlanModel)
+                    .filter(
+                        EditPlanModel.template_id == request.template_id,
+                        EditPlanModel.created_by_user_id == user_id,
+                    )
+                    .order_by(EditPlanModel.created_at.desc())
+                    .first()
+                )
+                if _latest:
+                    batch_source_plan_id = _latest.id
+            except Exception:
+                logger.warning("[生成任务] 批量源 plan 解析失败", exc_info=True)
 
         if not batch_source_plan_id and not request.variant_plan_ids:
             # 无任何可用源 plan：批量变体无从选片，明确报错，严禁静默共用/同源
@@ -475,12 +552,7 @@ def create_generation_task(
                 ) from clone_err
             variant_plan_ids.append(_plan0.id)
 
-            # #1855 P0：批次区间避让表，从变体0实际clips构建初始值（公共函数）
-            from app.services.generation_common import collect_plan_segments as _collect_segments
-
-            _batch_segments = _collect_segments(_plan0.id, _plan_svc._clip_repo)
-
-            # 变体 1..N-1 独立选片（传入累积batch_segments做素材区间避让）
+            # 变体 1..N-1 独立选片
             for task_index in range(1, count):
                 variant = None
                 last_err: Exception | None = None
@@ -492,7 +564,6 @@ def create_generation_task(
                             created_by_user_id=user_id,
                             name_suffix=f"批量{task_index + 1}",
                             voice_duration=voice_durations[task_index] if task_index < len(voice_durations) else 0.0,
-                            batch_segments=_batch_segments,
                         )
                         break
                     except ValueError as ve:
@@ -524,16 +595,7 @@ def create_generation_task(
                     ) from last_err
                 variant_plan_ids.append(variant.id)
 
-                # #1855 P0：把新变体的clips区间追加到batch_segments，供下一变体避让
-                try:
-                    _new_segs = _collect_segments(variant.id, _plan_svc._clip_repo)
-                    for _aid, _ivs in _new_segs.items():
-                        _batch_segments.setdefault(_aid, []).extend(_ivs)
-                except Exception:
-                    logger.exception("[生成任务] 变体%d 区间收集失败（不阻断）", task_index)
-
-        # ③ 配音时长分配（回传 plan / clone 变体0 均需幂等分配；reselect 已在选片时分配，
-        #    #1855：apply_voice_duration_to_plan 已内置幂等判断，重复调用安全）
+        # ③ 配音时长分配（回传 plan / clone 变体0 均需幂等分配；reselect 已在选片时分配）
         for _vi, _pid in enumerate(variant_plan_ids):
             _vd = voice_durations[_vi] if _vi < len(voice_durations) else 0.0
             if _vd > 0:
@@ -554,13 +616,24 @@ def create_generation_task(
             )
             _single_vd: list[float] = _query_voice_durations(db, _voices)
             _single_dur = _single_vd[0] if _single_vd else 0.0
-            from app.services.generation_common import resolve_latest_plan_by_template
+            _single_plan = request.source_edit_plan_id
+            if not _single_plan and request.template_id:
+                try:
+                    from packages.adapters.sqlalchemy_impl.models import EditPlanModel
 
-            _single_plan = (
-                request.source_edit_plan_id
-                or resolve_latest_plan_by_template(db, template_id=request.template_id, user_id=user_id)
-                or ""
-            )
+                    _latest = (
+                        db.query(EditPlanModel)
+                        .filter(
+                            EditPlanModel.template_id == request.template_id,
+                            EditPlanModel.created_by_user_id == user_id,
+                        )
+                        .order_by(EditPlanModel.created_at.desc())
+                        .first()
+                    )
+                    if _latest:
+                        _single_plan = _latest.id
+                except Exception:
+                    logger.warning("[生成任务] 单任务源 plan 解析失败", exc_info=True)
             if _single_dur > 0 and _single_plan:
                 from app.services.edit_plan_service import EditPlanService
 

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

@@ -30,74 +30,6 @@ logger = logging.getLogger(__name__)
 router = APIRouter()
 
 
-def _get_or_create_default_template_id(db: Session, user_id: str) -> str | None:
-    """为用户查找一个有效模板；若不存在则自动创建默认配音模板。
-
-    前端 #1911 删除了模板选择 UI，当调用方未传 template_id/source_edit_plan_id
-    时（如剪辑页首次进入直接选片），后端兜底查找/创建默认模板，避免 400。
-
-    Returns:
-        template_id（字符串）；失败时返回 None。
-    """
-
-    from packages.adapters.sqlalchemy_impl.models import TemplateClipConfigModel, TemplateModel
-    from packages.adapters.sqlalchemy_impl.template_repository import SQLAlchemyTemplateRepository
-    from packages.application.template.commands import CreateTemplateCommand, SegmentCommand
-    from packages.application.template.use_cases import CreateTemplateUseCase
-
-    # 1. 先查已有有效模板（is_active=True 且存在片段配置）
-    existing = (
-        db.query(TemplateModel)
-        .filter(
-            TemplateModel.user_id == user_id,
-            TemplateModel.is_active.is_(True),
-        )
-        .order_by(TemplateModel.created_at.asc())
-        .first()
-    )
-    if existing is not None:
-        # 验证该模板是否有片段配置；若没有继续尝试创建默认
-        has_seg = (
-            db.query(TemplateClipConfigModel.id).filter(TemplateClipConfigModel.template_id == existing.id).first()
-        )
-        if has_seg:
-            return existing.id
-
-    # 2. 无有效模板 → 自动创建默认配音模板
-    try:
-        repo = SQLAlchemyTemplateRepository(db)
-        cmd = CreateTemplateCommand(
-            user_id=user_id,
-            name="默认配音模板",
-            mode="voice_over",
-            category="default",
-            tags=[],
-            title_config={},
-            subtitle_config={},
-            bgm_config={},
-            estimated_duration=0.0,
-            segments=[
-                SegmentCommand(
-                    segment_order=0,
-                    duration_min=1.0,
-                    duration_max=30.0,
-                    material_type=None,
-                ),
-            ],
-        )
-        use_case = CreateTemplateUseCase(repo)
-        tpl = use_case.execute(cmd)
-        logger.info(
-            "[variant-plans] 自动创建默认模板: user=%s tpl=%s",
-            user_id,
-            tpl.id,
-        )
-        return tpl.id
-    except Exception:
-        logger.exception("[variant-plans] 自动创建默认模板失败: user=%s", user_id)
-        return None
-
-
 class VariantPlanRequest(BaseModel):
     """轻量选片请求体（与前端 variantPlans.ts 契约一致）。"""
 
@@ -111,8 +43,8 @@ class VariantPlanRequest(BaseModel):
 
     @model_validator(mode="after")
     def _validate(self) -> "VariantPlanRequest":
-        # 不再强制要求 template_id / source_edit_plan_id：
-        # 后端在路由内会自动查找/创建默认模板兜底（#1911 后前端不再显式选模板）。
+        if not self.template_id.strip() and not self.source_edit_plan_id.strip():
+            raise ValueError("template_id 与 source_edit_plan_id 至少需要提供一个")
         try:
             resolve_variant_voice_ids(
                 count=self.count,
@@ -158,19 +90,25 @@ def create_variant_plans(
     except VariantVoiceError as exc:
         raise HTTPException(status_code=400, detail=str(exc)) from exc
 
-    # 解析源 plan：显式传入优先；否则按 template_id + user 查最新（公共函数）
-    from app.services.generation_common import resolve_latest_plan_by_template
-
+    # 解析源 plan：显式传入优先；否则按 template_id + user 查最新
     source_plan_id = request.source_edit_plan_id.strip()
-    template_id = request.template_id.strip()
+    if not source_plan_id and request.template_id.strip():
+        try:
+            from packages.adapters.sqlalchemy_impl.models import EditPlanModel
 
-    # P0 兜底：前端 #1911 已删除模板选择 UI，调用方可能不传 template_id；
-    # 此时自动为该用户查找/创建默认模板。
-    if not source_plan_id and not template_id:
-        template_id = _get_or_create_default_template_id(db, user_id) or ""
-
-    if not source_plan_id and template_id:
-        source_plan_id = resolve_latest_plan_by_template(db, template_id=template_id, user_id=user_id) or ""
+            _latest = (
+                db.query(EditPlanModel)
+                .filter(
+                    EditPlanModel.template_id == request.template_id.strip(),
+                    EditPlanModel.created_by_user_id == user_id,
+                )
+                .order_by(EditPlanModel.created_at.desc())
+                .first()
+            )
+            if _latest:
+                source_plan_id = _latest.id
+        except Exception:
+            logger.warning("[variant-plans] 源 plan 解析失败", exc_info=True)
 
     if not source_plan_id:
         raise HTTPException(
@@ -184,7 +122,7 @@ def create_variant_plans(
 
         voice_durations = _query_voice_durations(db, voices)
     except Exception:
-        logger.exception("[variant-plans] 配音时长查询失败（按占位段长选片）")
+        logger.warning("[variant-plans] 配音时长查询失败（按占位段长选片）", exc_info=True)
         voice_durations = [0.0] * request.count
 
     from app.services.edit_plan_service import EditPlanService
@@ -205,7 +143,7 @@ def create_variant_plans(
     except HTTPException:
         raise
     except Exception as e:
-        logger.exception("[variant-plans] 选片异常")
+        logger.error("[variant-plans] 选片异常: %s", e, exc_info=True)
         raise HTTPException(status_code=500, detail="选片失败，请稍后重试") from e
 
     # 组装 clips 响应

apps/api/app/api/routes/health.py

@@ -1,4 +1,4 @@
-from datetime import UTC, datetime
+from datetime import datetime, timezone
 
 import psycopg
 import redis
@@ -13,7 +13,7 @@ router = APIRouter(tags=["Health"])
 async def health_check():
     return {
         "status": "healthy",
-        "timestamp": datetime.now(UTC).isoformat(),
+        "timestamp": datetime.now(timezone.utc).isoformat(),
         "version": settings.APP_VERSION,
     }
 
@@ -33,7 +33,7 @@ async def startup_check():
     all_ready = all(check["status"] == "healthy" for check in checks.values())
     response = {
         "status": "started" if all_ready else "starting",
-        "timestamp": datetime.now(UTC).isoformat(),
+        "timestamp": datetime.now(timezone.utc).isoformat(),
         "checks": checks,
     }
     if not all_ready:

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

@@ -1,54 +1,32 @@
-"""对口型 API 路由 — #1796 MediaKit 对口型, #1809 参数调整, #1845 配音前置.
+"""对口型 API 路由 — #1796 MediaKit 对口型.
 
 接口：
-  POST   /api/v1/lipsync/jobs          提交对口型任务（支持 TTS/直传/预合成 三种模式）
+  POST   /api/v1/lipsync/jobs          提交对口型任务
   GET    /api/v1/lipsync/jobs          任务列表
   GET    /api/v1/lipsync/jobs/{id}     任务详情
   POST   /api/v1/lipsync/jobs/{id}/refresh  刷新任务状态
   POST   /api/v1/lipsync/jobs/{id}/cancel   取消任务
-  POST   /api/v1/lipsync/tts-preview   #1845 步骤1 TTS 预合成（同步 HTTP，~2-3s）
 """
 
 from __future__ import annotations
 
 import logging
-import math
-from datetime import UTC
 
 from app.auth import AuthenticatedUser, get_current_user
-from app.config import settings
-from app.dependencies import (
-    get_db_session,
-    get_voice_clone_profile_repository,
-)
-from app.schemas.lipsync import (
-    AiAvatarTtsPreviewRequest,
-    AiAvatarTtsPreviewResponse,
-    CreateLipsyncJobRequest,
-    LipsyncJobResponse,
-)
+from app.dependencies import get_db_session
+from app.schemas.lipsync import CreateLipsyncJobRequest, LipsyncJobResponse
 from app.services.lipsync_service import LipsyncService
 from app.services.mediakit_client import MediaKitError
-from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Query
+from fastapi import APIRouter, Depends, HTTPException, Query
 from sqlalchemy.orm import Session
 
-from packages.domain.points_rules import calculate_points_cost
-from packages.domain.points_service import PointsService
-
 logger = logging.getLogger(__name__)
 
 router = APIRouter()
 
 
-def _get_service(
-    db: Session = Depends(get_db_session),
-    voice_clone_repo=Depends(get_voice_clone_profile_repository),
-) -> LipsyncService:
-    # voice_clone_repo 用于克隆音色 profile 解析
-    return LipsyncService(
-        db,
-        voice_clone_repo=voice_clone_repo,
-    )
+def _get_service(db: Session = Depends(get_db_session)) -> LipsyncService:
+    return LipsyncService(db)
 
 
 # ── POST /jobs — 提交对口型任务 ───────────────────────────────────────────
@@ -58,194 +36,34 @@ def _get_service(
 def create_lipsync_job(
     body: CreateLipsyncJobRequest,
     current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
     svc: LipsyncService = Depends(_get_service),
 ):
-    user_id = current_user.user.id
-
-    # ── 积分扣点（#1895 P2） ──
-    _points_deducted = 0
-    _points_scene = "ai_digital_human"
-    _points_svc = PointsService() if settings.points_enabled else None
-    if _points_svc is not None:
-        # 口型同步：TTS 模式按 script_text 估时长（240字/分钟）；音频直传按 audio_duration（秒→分钟）
-        if body.audio_url and body.audio_duration and body.audio_duration > 0:
-            est_minutes = max(1.0, math.ceil(body.audio_duration / 60.0))
-        elif body.script_text:
-            est_minutes = max(1.0, math.ceil(len(body.script_text) / 240))
-        else:
-            est_minutes = 1.0
-        _points_deducted = calculate_points_cost(
-            _points_scene,
-            is_member=getattr(current_user.user, "is_member", False),
-            duration_minutes=est_minutes,
-            member_type=getattr(current_user.user, "member_type", None),
-        )
-        _deduct_res = _points_svc.deduct_points(user_id, _points_deducted, _points_scene, db)
-        if not _deduct_res["success"]:
-            raise HTTPException(
-                status_code=402,
-                detail={
-                    "code": "INSUFFICIENT_POINTS",
-                    "message": f"积分不足，需要 {_points_deducted} 积分，当前余额 {_deduct_res['balance']}",
-                    "required": _points_deducted,
-                    "balance": _deduct_res["balance"],
-                },
-            )
     """提交对口型任务.
 
-    三种模式：
-    - TTS 直生（旧版/降级）：传 {video_url, voice_id, script_text, speed?, emotion?}，
-      后端 dispatch Celery 异步任务。
-    - 直接音频：传 {video_url, audio_url}，后端同步下载+算timings+提交MediaKit。
-    - 预合成音频（#1845 新主路径）：传 {video_url, audio_url, audio_duration, sentence_timings}，
-      后端同步ffprobe+写入timings+直接提交MediaKit（~2-3s）。
+    输入人物视频 + 驱动音频，异步生成口型对齐视频。
     """
     try:
         job = svc.create_job(
-            user_id=user_id,
+            user_id=current_user.id,
             video_url=body.video_url,
             audio_url=body.audio_url,
-            audio_duration=body.audio_duration,
-            sentence_timings=body.sentence_timings,
-            voice_id=body.voice_id,
-            script_text=body.script_text,
-            speed=body.speed,
-            emotion=body.emotion,
             enable_video_loop=body.enable_video_loop,
             project_id=body.project_id,
         )
-    except ValueError as exc:
-        if _points_deducted > 0 and _points_svc is not None:
-            try:
-                _points_svc.refund_points(user_id, _points_deducted, _points_scene, db)
-            except Exception as refund_err:
-                logger.warning(f"对口型 ValueError 退积分异常: err={refund_err}")
-        raise HTTPException(status_code=400, detail=str(exc)) from exc
     except MediaKitError as exc:
-        if _points_deducted > 0 and _points_svc is not None:
-            try:
-                _points_svc.refund_points(user_id, _points_deducted, _points_scene, db)
-            except Exception as refund_err:
-                logger.warning(f"对口型 MediaKitError 退积分异常: err={refund_err}")
-        status_code = 502
-        if exc.code in ("VoiceForbidden",):
-            status_code = 403
-        elif exc.code in ("InvalidInput", "TTSInvalidParam", "VoiceNotReady"):
-            status_code = 400
+        # 创建失败（job 已记录 error），返回 502
         raise HTTPException(
-            status_code=status_code,
+            status_code=502,
             detail={
                 "code": exc.code,
                 "message": str(exc),
-                "request_id": getattr(exc, "request_id", ""),
+                "request_id": exc.request_id,
             },
         ) from exc
-    except Exception as exc:
-        logger.error("创建对口型任务异常: %s", exc, exc_info=True)
-        if _points_deducted > 0 and _points_svc is not None:
-            try:
-                _points_svc.refund_points(user_id, _points_deducted, _points_scene, db)
-            except Exception as refund_err:
-                logger.warning(f"对口型异常退积分异常: err={refund_err}")
-        raise HTTPException(
-            status_code=400,
-            detail=f"创建对口型任务失败: {exc}",
-        ) from exc
-
-    # 创建成功但状态为 failed（同步路径失败已抛异常到上面 except；此处处理 Celery 调度失败等）
-    # 若任务已创建且状态为 failed，退费
-    if _points_deducted > 0 and _points_svc is not None and getattr(job, "status", None) == "failed":
-        try:
-            _points_svc.refund_points(user_id, _points_deducted, _points_scene, db, ref_id=job.id)
-        except Exception as refund_err:
-            logger.warning(f"对口型任务失败退积分异常: job_id={job.id}, err={refund_err}")
 
     return job
 
 
-# ── POST /tts-preview — #1845 步骤1 TTS 预合成 ──────────────────────────
-
-
-@router.post("/tts-preview", response_model=AiAvatarTtsPreviewResponse)
-def preview_tts(
-    body: AiAvatarTtsPreviewRequest,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-    svc: LipsyncService = Depends(_get_service),
-):
-    user_id = current_user.user.id
-
-    # ── 积分扣点（#1895 P2） ──
-    _points_deducted = 0
-    _points_scene = "ai_digital_human"
-    _points_svc = PointsService() if settings.points_enabled else None
-    if _points_svc is not None:
-        est_minutes = max(1.0, math.ceil(len(body.script_text or "") / 240)) if body.script_text else 1.0
-        _points_deducted = calculate_points_cost(
-            _points_scene,
-            is_member=getattr(current_user.user, "is_member", False),
-            duration_minutes=est_minutes,
-            member_type=getattr(current_user.user, "member_type", None),
-        )
-        _deduct_res = _points_svc.deduct_points(user_id, _points_deducted, _points_scene, db)
-        if not _deduct_res["success"]:
-            raise HTTPException(
-                status_code=402,
-                detail={
-                    "code": "INSUFFICIENT_POINTS",
-                    "message": f"积分不足，需要 {_points_deducted} 积分，当前余额 {_deduct_res['balance']}",
-                    "required": _points_deducted,
-                    "balance": _deduct_res["balance"],
-                },
-            )
-    """步骤1「生成配音」同步 TTS 预合成.
-
-    同步执行 TTS 合成 → 下载音频 → ffprobe 时长 → 句子时间戳计算，
-    不创建 LipsyncJob、不转存 OSS，直接返回 CosyVoice 临时 URL（~24h 有效）。
-    耗时约 2-3 秒。
-    """
-    try:
-        result = svc.preview_tts(
-            user_id=user_id,
-            voice_id=body.voice_id,
-            script_text=body.script_text,
-            speed=body.speed,
-            emotion=body.emotion,
-        )
-    except MediaKitError as exc:
-        if _points_deducted > 0 and _points_svc is not None:
-            try:
-                _points_svc.refund_points(user_id, _points_deducted, _points_scene, db)
-            except Exception as refund_err:
-                logger.warning(f"TTS 预合成 MediaKitError 退积分异常: err={refund_err}")
-        status_code = 400
-        if exc.code in ("VoiceForbidden",):
-            status_code = 403
-        elif exc.code in ("TTSNoAudio",):
-            status_code = 502
-        raise HTTPException(
-            status_code=status_code,
-            detail={
-                "code": exc.code,
-                "message": str(exc),
-            },
-        ) from exc
-    except Exception as exc:
-        logger.error("TTS 预合成异常: %s", exc, exc_info=True)
-        if _points_deducted > 0 and _points_svc is not None:
-            try:
-                _points_svc.refund_points(user_id, _points_deducted, _points_scene, db)
-            except Exception as refund_err:
-                logger.warning(f"TTS 预合成异常退积分异常: err={refund_err}")
-        raise HTTPException(
-            status_code=400,
-            detail=f"TTS 合成失败: {exc}",
-        ) from exc
-
-    return result
-
-
 # ── GET /jobs — 任务列表 ─────────────────────────────────────────────────
 
 
@@ -260,7 +78,7 @@ def list_lipsync_jobs(
 ):
     """获取对口型任务列表."""
     items, total = svc.list_jobs(
-        user_id=current_user.user.id,
+        user_id=current_user.id,
         project_id=project_id,
         status=status,
         offset=offset,
@@ -280,33 +98,13 @@ 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.user.id)
+    job = svc.get_job(job_id, current_user.id)
     if job is None:
         raise HTTPException(status_code=404, detail="任务不存在")
-
-    if job.status not in ("completed", "failed"):
-        # 三层防御 ①：如果距上次更新超过 30 秒，同步刷新一次（避免 background task
-        # 静默失败导致前端永远看到 running）；否则挂后台异步刷新（避免阻塞轮询）。
-        from datetime import datetime as _dt
-
-        _now = _dt.now(UTC)
-        _stale = job.updated_at is None or (_now - job.updated_at).total_seconds() > 30
-        if _stale:
-            try:
-                refreshed = svc.refresh_job_status(job_id, current_user.user.id)
-                if refreshed is not None:
-                    job = refreshed
-            except Exception as exc:  # noqa: BLE001
-                logger.error("同步刷新对口型状态失败 job_id=%s err=%s", job_id, exc, exc_info=True)
-                background.add_task(svc.refresh_job_status, job_id, current_user.user.id)
-        else:
-            background.add_task(svc.refresh_job_status, job_id, current_user.user.id)
-
     return job
 
 
@@ -320,7 +118,7 @@ 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.user.id)
+    job = svc.refresh_job_status(job_id, current_user.id)
     if job is None:
         raise HTTPException(status_code=404, detail="任务不存在")
     return job
@@ -335,13 +133,13 @@ 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/tts_processing/submitted 状态可取消）."""
-    job = svc.cancel_job(job_id, current_user.user.id)
+    """取消对口型任务（仅 pending/submitted 状态可取消）."""
+    job = svc.cancel_job(job_id, current_user.id)
     if job is None:
         raise HTTPException(status_code=404, detail="任务不存在")
     if job.status != "cancelled":
         raise HTTPException(
             status_code=400,
-            detail=f"任务状态 {job.status} 不可取消，仅 pending/tts_processing/submitted 可取消",
+            detail=f"任务状态 {job.status} 不可取消，仅 pending/submitted 可取消",
         )
     return job

apps/api/app/api/routes/points.py

@@ -1,321 +0,0 @@
-"""积分 & 会员 API 路由 (#1895)
-
-导出两个 router：
-- points_router: 积分相关路由，前缀 /points
-- usage_router: 每日额度路由，前缀 /usage
-"""
-
-from __future__ import annotations
-
-import logging
-from datetime import datetime
-from typing import Optional
-
-from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_db_session
-from app.schemas.points import (
-    DailyUsageResponse,
-    MembershipStatusResponse,
-    PointRuleItem,
-    PointsBalanceResponse,
-    PointsCheckRequest,
-    PointsCheckResponse,
-    PointsDeductRequest,
-    PointsOrderResponse,
-    PointsPackageItem,
-    PointsPackagesResponse,
-    PointsRechargeRequest,
-    PointsRefundRequest,
-    PointsRulesResponse,
-    PointsTransactionsResponse,
-    SimpleMessageResponse,
-)
-from fastapi import APIRouter, Depends, HTTPException, Query
-from sqlalchemy.orm import Session
-
-from packages.domain.points_rules import (
-    FREE_USER_MULTIPLIER,
-    MEMBER_DISCOUNT,
-    POINTS_PACKAGES,
-    POINTS_SCENES,
-    calculate_points_cost,
-)
-from packages.domain.points_service import PointsService
-
-logger = logging.getLogger(__name__)
-
-# ── 两个 router ──
-points_router = APIRouter()
-usage_router = APIRouter()
-
-
-def _get_service() -> PointsService:
-    return PointsService()
-
-
-def _is_member(user: AuthenticatedUser) -> bool:
-    """判断用户是否为付费会员。"""
-    return getattr(user.user, "is_member", False)
-
-
-def _member_type(user: AuthenticatedUser) -> str | None:
-    return getattr(user.user, "member_type", None)
-
-
-# ════════════════════════════════════════════════════════════════
-# 积分相关路由 (prefix=/points)
-# ════════════════════════════════════════════════════════════════
-
-
-@points_router.get("/balance", response_model=PointsBalanceResponse)
-def get_balance(
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-):
-    """查询当前用户积分余额 + 会员状态。"""
-    svc = _get_service()
-    account = svc.get_or_create_account(current_user.user.id, db)
-    return PointsBalanceResponse(
-        balance=account["balance"],
-        total_earned=account["total_earned"],
-        total_spent=account["total_spent"],
-        is_member=_is_member(current_user),
-        member_type=_member_type(current_user),
-        member_expires_at=getattr(current_user.user, "member_expires_at", None),
-    )
-
-
-@points_router.get("/transactions", response_model=PointsTransactionsResponse)
-def get_transactions(
-    page: int = Query(1, ge=1),
-    page_size: int = Query(20, ge=1, le=100),
-    type: Optional[str] = Query(None, description="筛选类型: add/deduct"),
-    source: Optional[str] = Query(None, description="筛选来源场景"),
-    start_date: Optional[datetime] = Query(None),
-    end_date: Optional[datetime] = Query(None),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-):
-    """查询积分流水（分页+筛选）。"""
-    svc = _get_service()
-    result = svc.get_transactions(
-        user_id=current_user.user.id,
-        db=db,
-        page=page,
-        page_size=page_size,
-        type_filter=type,
-        source_filter=source,
-        start_date=start_date,
-        end_date=end_date,
-    )
-    return PointsTransactionsResponse(**result)
-
-
-@points_router.get("/rules", response_model=PointsRulesResponse)
-def get_rules(
-    _current_user: AuthenticatedUser = Depends(get_current_user),
-):
-    """查询所有积分消耗规则。"""
-    rules = []
-    for scene_key, scene_data in POINTS_SCENES.items():
-        rules.append(
-            PointRuleItem(
-                scene_key=scene_key,
-                name=scene_data["name"],
-                base_points=scene_data["base_points"],
-                unit=scene_data["unit"],
-                extra_per_30s=scene_data.get("extra_per_30s"),
-            )
-        )
-    return PointsRulesResponse(
-        rules=rules,
-        free_user_multiplier=FREE_USER_MULTIPLIER,
-    )
-
-
-@points_router.get("/packages", response_model=PointsPackagesResponse)
-def get_packages(
-    current_user: AuthenticatedUser = Depends(get_current_user),
-):
-    """查询可购买的积分包列表。"""
-    packages = []
-    for code, pkg in POINTS_PACKAGES.items():
-        unit_price = f"¥{pkg['price_cents'] / 100 / pkg['points']:.3f}/积分"
-        packages.append(
-            PointsPackageItem(
-                code=code,
-                name=pkg["name"],
-                points=pkg["points"],
-                price_cents=pkg["price_cents"],
-                unit_price=unit_price,
-            )
-        )
-    mt = _member_type(current_user)
-    discount = MEMBER_DISCOUNT.get(mt) if mt else None
-    return PointsPackagesResponse(packages=packages, user_discount=discount)
-
-
-@points_router.post("/check", response_model=PointsCheckResponse)
-def check_points(
-    body: PointsCheckRequest,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-):
-    """消费前检查余额是否足够。"""
-    is_mem = _is_member(current_user)
-    mt = _member_type(current_user)
-
-    # 混剪场景先检查免费额度
-    is_free_quota = False
-    if body.scene_key == "ai_video" and not is_mem:
-        svc = _get_service()
-        if svc.check_daily_free_clip(current_user.user.id, db):
-            is_free_quota = True
-
-    required = calculate_points_cost(
-        body.scene_key,
-        is_mem,
-        quantity=body.quantity or 1,
-        duration_minutes=body.duration_minutes or 0,
-        member_type=mt,
-    )
-
-    svc = _get_service()
-    account = svc.get_or_create_account(current_user.user.id, db)
-    balance = account["balance"]
-
-    return PointsCheckResponse(
-        allowed=is_free_quota or balance >= required,
-        required_points=required,
-        current_balance=balance,
-        remaining_after=balance - required,
-        is_free_quota=is_free_quota,
-    )
-
-
-@points_router.post("/deduct", response_model=SimpleMessageResponse)
-def deduct_points(
-    body: PointsDeductRequest,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-):
-    """积分扣减（内部服务调用）。"""
-    svc = _get_service()
-    result = svc.deduct_points(
-        user_id=current_user.user.id,
-        amount=body.amount,
-        source=body.scene_key,
-        db=db,
-        description=body.description or "",
-        ref_id=body.ref_id or "",
-    )
-    if not result["success"]:
-        raise HTTPException(
-            status_code=402,
-            detail={
-                "code": "INSUFFICIENT_POINTS",
-                "message": f"积分不足，需要 {body.amount}，余额 {result['balance']}",
-            },
-        )
-    return SimpleMessageResponse(
-        success=True,
-        message=f"扣减 {body.amount} 积分成功",
-        data={"transaction_id": result["transaction_id"], "balance": result["balance"]},
-    )
-
-
-@points_router.post("/refund", response_model=SimpleMessageResponse)
-def refund_points(
-    body: PointsRefundRequest,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-):
-    """积分退还（内部服务调用）。"""
-    from packages.adapters.sqlalchemy_impl.models import PointsTransactionModel
-
-    txn = (
-        db.query(PointsTransactionModel)
-        .filter(PointsTransactionModel.id == body.transaction_id)
-        .first()
-    )
-    if txn is None:
-        raise HTTPException(status_code=404, detail="交易记录不存在")
-    if txn.user_id != current_user.user.id:
-        raise HTTPException(status_code=403, detail="无权退还他人积分")
-
-    svc = _get_service()
-    result = svc.refund_points(
-        user_id=current_user.user.id,
-        amount=txn.amount,
-        source=txn.source,
-        db=db,
-        ref_id=body.transaction_id,
-        description=body.reason or f"退还: {txn.description}",
-    )
-    if not result["success"]:
-        raise HTTPException(status_code=500, detail="退还失败")
-    return SimpleMessageResponse(
-        success=True,
-        message=f"退还 {txn.amount} 积分成功",
-        data={"transaction_id": result["transaction_id"], "balance": result["balance"]},
-    )
-
-
-@points_router.post("/recharge", response_model=PointsOrderResponse)
-def create_recharge_order(
-    body: PointsRechargeRequest,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-):
-    """创建积分充值订单。"""
-    svc = _get_service()
-    try:
-        order = svc.create_order(
-            user_id=current_user.user.id,
-            order_type="points",
-            product_code=body.package_id,
-            db=db,
-        )
-    except ValueError as e:
-        raise HTTPException(status_code=400, detail=str(e)) from None
-    return PointsOrderResponse(**order)
-
-
-@points_router.get("/subscription/membership", response_model=MembershipStatusResponse)
-def get_membership_status(
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-):
-    """获取当前用户会员状态（聚合信息）。"""
-    svc = _get_service()
-    account = svc.get_or_create_account(current_user.user.id, db)
-    is_mem = _is_member(current_user)
-    max_resolution = "1080p" if is_mem else "720p"
-
-    return MembershipStatusResponse(
-        is_member=is_mem,
-        member_type=_member_type(current_user),
-        member_expires_at=getattr(current_user.user, "member_expires_at", None),
-        points_balance=account["balance"],
-        max_resolution=max_resolution,
-    )
-
-
-# ════════════════════════════════════════════════════════════════
-# 每日额度路由 (prefix=/usage)
-# ════════════════════════════════════════════════════════════════
-
-
-@usage_router.get("/daily", response_model=DailyUsageResponse)
-def get_daily_usage(
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-):
-    """查询今日免费混剪额度使用情况。"""
-    svc = _get_service()
-    result = svc.get_daily_usage(current_user.user.id, db)
-    return DailyUsageResponse(**result)
-
-
-# 为了向后兼容，也导出一个不带后缀的 router（方便旧引用）
-router = points_router

apps/api/app/api/routes/scripts_ai.py

@@ -1,243 +0,0 @@
-"""Scripts AI 能力路由 — Issue #1893.
-
-三个 AI 工具接口（均挂载在 /api/v1/scripts 前缀下）：
-- POST /extract-from-douyin  从抖音视频提取文案（yt-dlp 下载 + ASR 转写）
-- POST /ai-rewrite           AI 文案改写（复用豆包 LLM）
-- POST /ai-generate-titles   AI 标题生成（复用 generate_smart_titles）
-"""
-
-from __future__ import annotations
-
-import logging
-import re
-import tempfile
-
-from app.auth import AuthenticatedUser, get_current_user
-from app.dependencies import get_db_session
-from app.schemas.scripts_ai import (
-    AiGenerateTitlesRequest,
-    AiGenerateTitlesResponse,
-    AiRewriteRequest,
-    AiRewriteResponse,
-    ExtractFromDouyinRequest,
-    ExtractFromDouyinResponse,
-)
-from app.services.script_asr_service import (
-    ASRNotConfiguredError,
-    ASRTranscriptionError,
-    transcribe_to_text,
-)
-from fastapi import APIRouter, Depends, HTTPException, status
-from sqlalchemy.orm import Session
-
-from packages.middleware.points_gate import points_gate
-from packages.shared.ai_client import get_doubao_client
-
-logger = logging.getLogger(__name__)
-
-router = APIRouter()
-
-# 抖音 URL 校验：支持短链 v.douyin.com 和长链 www.douyin.com/video/
-_DOUYIN_URL_RE = re.compile(
-    r"^(https?://)?(v\.douyin\.com/\S+|www\.douyin\.com/video/\S+)$",
-    re.IGNORECASE,
-)
-
-
-def _validate_douyin_url(url: str) -> None:
-    """校验抖音 URL 格式，不合法时抛 HTTPException(400)."""
-    if not url or not url.strip():
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail="链接不能为空",
-        )
-    if not _DOUYIN_URL_RE.match(url.strip()):
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail="无效的抖音链接，仅支持 v.douyin.com 短链或 www.douyin.com/video/ 长链",
-        )
-
-
-# ── 1. 从抖音视频提取文案 ─────────────────────────────────────────────────────
-
-
-@router.post(
-    "/extract-from-douyin",
-    response_model=ExtractFromDouyinResponse,
-)
-@points_gate("douyin_extract")
-def extract_from_douyin(
-    request: ExtractFromDouyinRequest,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-) -> ExtractFromDouyinResponse:
-    """从抖音视频下载无水印视频并通过 ASR 提取文案."""
-    source_url = request.url.strip()
-    _validate_douyin_url(source_url)
-
-    # 确保 URL 有 scheme（yt-dlp 需要完整 URL）
-    url_for_download = source_url
-    if not re.match(r"^https?://", url_for_download, re.IGNORECASE):
-        url_for_download = "https://" + url_for_download
-
-    # 使用临时目录下载视频，退出时自动清理
-    try:
-        with tempfile.TemporaryDirectory(prefix="douyin_extract_") as temp_dir:
-            import yt_dlp
-
-            ydl_opts = {
-                "format": "best[ext=mp4]/best",
-                "outtmpl": f"{temp_dir}/%(id)s.%(ext)s",
-                "quiet": True,
-                "no_warnings": True,
-                "noplaylist": True,
-            }
-
-            try:
-                ydl = yt_dlp.YoutubeDL(ydl_opts)
-                info = ydl.extract_info(url_for_download, download=True)
-            except Exception as exc:
-                logger.error("抖音视频下载失败: url=%s error=%s", source_url, exc)
-                raise HTTPException(
-                    status_code=status.HTTP_502_BAD_GATEWAY,
-                    detail=f"视频下载失败: {exc}",
-                ) from exc
-
-            if info is None:
-                raise HTTPException(
-                    status_code=status.HTTP_400_BAD_REQUEST,
-                    detail="无法解析该抖音链接",
-                )
-
-            video_path = ydl.prepare_filename(info)
-            duration = float(info.get("duration") or 0)
-
-            # ASR 转写
-            try:
-                text = transcribe_to_text(video_path)
-            except ASRNotConfiguredError as exc:
-                raise HTTPException(
-                    status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
-                    detail=str(exc),
-                ) from exc
-            except ASRTranscriptionError as exc:
-                raise HTTPException(
-                    status_code=status.HTTP_502_BAD_GATEWAY,
-                    detail=str(exc),
-                ) from exc
-
-    except HTTPException:
-        raise
-
-    return ExtractFromDouyinResponse(
-        text=text,
-        duration_seconds=duration,
-        source_url=source_url,
-    )
-
-
-# ── 2. AI 文案改写 ───────────────────────────────────────────────────────────
-
-
-@router.post(
-    "/ai-rewrite",
-    response_model=AiRewriteResponse,
-)
-@points_gate("ai_rewrite")
-def ai_rewrite(
-    request: AiRewriteRequest,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-) -> AiRewriteResponse:
-    """使用豆包大模型改写文案."""
-    content = (request.content or "").strip()
-    if not content:
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail="文案内容不能为空",
-        )
-
-    style = request.style or "口语化"
-
-    client = get_doubao_client()
-    if not client.is_available:
-        raise HTTPException(
-            status_code=status.HTTP_502_BAD_GATEWAY,
-            detail="AI 服务不可用，请联系管理员配置豆包大模型 API Key",
-        )
-
-    system_prompt = (
-        "你是一个专业的短视频文案改写专家。请对以下文案进行改写，"
-        "要求：保留原意、口语化、适合短视频口播、调整语序避免查重。"
-    )
-    if style:
-        system_prompt += f"\n风格要求：{style}"
-
-    user_prompt = f"请改写以下文案：\n\n{content}"
-
-    messages = [
-        {"role": "system", "content": system_prompt},
-        {"role": "user", "content": user_prompt},
-    ]
-
-    try:
-        rewritten = client.chat_completion(
-            messages=messages,
-            temperature=0.8,
-            max_tokens=2048,
-        )
-    except Exception as exc:
-        logger.error("AI 改写调用失败: %s", exc)
-        raise HTTPException(
-            status_code=status.HTTP_502_BAD_GATEWAY,
-            detail=f"AI 改写失败: {exc}",
-        ) from exc
-
-    if not rewritten:
-        raise HTTPException(
-            status_code=status.HTTP_502_BAD_GATEWAY,
-            detail="AI 改写未返回有效结果",
-        )
-
-    return AiRewriteResponse(
-        original=content,
-        rewritten=rewritten.strip(),
-        style=style,
-    )
-
-
-# ── 3. AI 标题生成 ───────────────────────────────────────────────────────────
-
-
-@router.post(
-    "/ai-generate-titles",
-    response_model=AiGenerateTitlesResponse,
-)
-@points_gate("ai_title")
-def ai_generate_titles(
-    request: AiGenerateTitlesRequest,
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-) -> AiGenerateTitlesResponse:
-    """使用现有 generate_smart_titles 生成标题."""
-    content = (request.content or "").strip()
-    if not content:
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail="文案内容不能为空",
-        )
-
-    # count 限制在 1-5（Pydantic ge=1 le=5 已校验），但为兼容直接调用场景截断
-    count = max(1, min(5, request.count))
-
-    from app.services.ai_service import generate_smart_titles
-
-    result = generate_smart_titles(
-        description=content,
-        style="viral",
-        count=count,
-    )
-
-    titles = result.get("titles", [])[:count]
-
-    return AiGenerateTitlesResponse(titles=titles)

apps/api/app/api/routes/subscription.py

@@ -4,7 +4,8 @@ from __future__ import annotations
 
 import logging
 from dataclasses import replace
-from datetime import UTC, datetime
+from datetime import datetime, timezone
+from typing import List
 
 from app.auth import AuthenticatedUser, get_current_user
 from app.dependencies import get_user_repository
@@ -66,7 +67,7 @@ def _get_plan_price(plan_id: str, billing_cycle: str) -> float:
 
 def _build_subscription_info(user: AuthenticatedUser) -> SubscriptionInfo:
     """构建订阅信息响应"""
-    now = datetime.now(UTC)
+    now = datetime.now(timezone.utc)
     if user.user.subscription_expires_at:
         period_end = user.user.subscription_expires_at.isoformat()
         period_start = now.isoformat()
@@ -99,10 +100,10 @@ async def get_current_subscription(
     return _build_subscription_info(current_user)
 
 
-@router.get("/billing-records", response_model=list[BillingRecord])
+@router.get("/billing-records", response_model=List[BillingRecord])
 async def get_billing_records(
     current_user: AuthenticatedUser = Depends(get_current_user),
-) -> list[BillingRecord]:
+) -> List[BillingRecord]:
     """获取账单记录列表"""
     from packages.adapters.sqlalchemy_impl.billing_repository import SQLAlchemyBillingRepository
     from packages.adapters.sqlalchemy_impl.session import SessionLocal
@@ -250,7 +251,7 @@ async def payment_callback(
 
         # 计算到期时间
         days = 365 if billing_cycle == "yearly" else 30
-        expires_at = datetime.now(UTC) + timedelta(days=days)
+        expires_at = datetime.now(timezone.utc) + timedelta(days=days)
         repo.update_subscription_on_payment(user_id, plan, expires_at)
 
         return {"success": True, "message": "支付成功", "record_id": record_id}

apps/api/app/api/routes/templates.py

@@ -1,13 +1,4 @@
-"""Template 列表路由（供生成页自动选模板）.
-
-保留：
-- GET /templates：列表查询（生成页使用）
-- 默认模板自动创建兜底逻辑（复用 _default_template.get_or_create_default_template_id）
-
-其他模板 CRUD / 分类 / 标签 / 收藏 / 复制 / 校验 / 使用统计等 HTTP 端点
-已在 PR#1918 中删除（前端 PR#1911 已删除 my-templates / editing-planner /
-templates 管理页面）。
-"""
+"""Template CRUD + generate + category routes."""
 
 from __future__ import annotations
 
@@ -16,19 +7,53 @@ import logging
 from app.auth import AuthenticatedUser, get_current_user
 from app.dependencies import get_db_session
 from app.schemas.template import (
+    CategoryResponse,
+    CopyTemplateRequest,
+    CreateCategoryRequest,
+    CreateTemplateRequest,
+    GenerateWarningResponse,
+    ListCategoriesResponse,
+    ListTagsResponse,
     ListTemplatesResponse,
+    SegmentResponse,
     TemplateResponse,
+    TemplateUsageResponse,
+    ToggleFavoriteResponse,
+    UpdateTemplateRequest,
+    ValidateTemplateRequest,
+    ValidateTemplateResponse,
 )
-from fastapi import APIRouter, Depends, Query
+from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
 from sqlalchemy.orm import Session
 
 logger = logging.getLogger(__name__)
 
 from packages.adapters.sqlalchemy_impl.template_repository import SQLAlchemyTemplateRepository
-from packages.application.template.commands import ListTemplatesFilter
-from packages.application.template.use_cases import CountTemplatesUseCase, ListTemplatesUseCase
-
-from ._default_template import get_or_create_default_template_id
+from packages.application.template.commands import (
+    CopyTemplateCommand,
+    CreateCategoryCommand,
+    CreateTemplateCommand,
+    ListTemplatesFilter,
+    SegmentCommand,
+    UpdateTemplateCommand,
+    ValidateTemplateCommand,
+)
+from packages.application.template.use_cases import (
+    CopyTemplateUseCase,
+    CountTemplatesUseCase,
+    CreateCategoryUseCase,
+    CreateTemplateUseCase,
+    DeleteCategoryUseCase,
+    DeleteTemplateUseCase,
+    GetTemplateUseCase,
+    ListCategoriesUseCase,
+    ListTagsUseCase,
+    ListTemplatesUseCase,
+    NotFoundError,
+    UpdateTemplateUseCase,
+    ValidateTemplateUseCase,
+    ValidationError,
+)
 
 router = APIRouter()
 
@@ -37,32 +62,354 @@ def _get_template_repository(session: Session = Depends(get_db_session)) -> SQLA
     return SQLAlchemyTemplateRepository(session)
 
 
-@router.get("", response_model=ListTemplatesResponse, summary="获取模板列表")
+def _segment_to_response(seg) -> SegmentResponse:
+    return SegmentResponse(
+        id=seg.id,
+        template_id=seg.template_id,
+        segment_order=seg.segment_order,
+        duration_min=seg.duration_min,
+        duration_max=seg.duration_max,
+        material_type=seg.material_type,
+        created_at=seg.created_at,
+        updated_at=seg.updated_at,
+    )
+
+
+def _to_response(template, usage_count: int = 0) -> TemplateResponse:
+    return TemplateResponse(
+        id=template.id,
+        user_id=template.user_id,
+        name=template.name,
+        mode=template.mode,
+        category=template.category,
+        tags=template.tags,
+        title_config=template.title_config,
+        subtitle_config=template.subtitle_config,
+        bgm_config=template.bgm_config,
+        estimated_duration=template.estimated_duration,
+        segments=[_segment_to_response(s) for s in getattr(template, "segments", [])],
+        is_active=template.is_active,
+        usage_count=usage_count,
+        created_at=template.created_at,
+        updated_at=template.updated_at,
+    )
+
+
+# ── Template CRUD ──
+
+
+@router.get("", response_model=ListTemplatesResponse)
 def list_templates(
-    mode: str | None = Query(None, description="编辑模式：generic/vlog/storyboard，不传返回全部"),
+    skip: int = Query(0, ge=0),
+    limit: int = Query(50, ge=1, le=200),
     category: str | None = Query(None, description="按分类筛选"),
     tag: str | None = Query(None, description="按标签筛选"),
-    page: int = Query(1, ge=1, description="页码，从 1 开始"),
-    page_size: int = Query(20, ge=1, le=100, description="每页条数，默认 20"),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    repo: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
-    db: Session = Depends(get_db_session),
-):
-    """获取用户可用的模板列表（仅返回 active 状态）。"""
-    user_id = str(current_user.user.id)
-    # P0 兜底：无有效模板时自动创建默认配音模板（解决新用户首次进入生成页 404）
-    get_or_create_default_template_id(db, user_id)
+    keyword: str | None = Query(None, description="按名称关键词搜索"),
+    mode: str | None = Query(None, description="按剪辑模式筛选"),
+    valid_only: bool = Query(
+        False,
+        description="仅返回已配置片段的模板（剪辑页传 true；模板编辑器不传，可查看全部模板含草稿）",
+    ),
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
+) -> ListTemplatesResponse:
+    user_id = authenticated_user.user.id
+    try:
+        tpl_filter = ListTemplatesFilter(
+            category=category,
+            tag=tag,
+            keyword=keyword,
+            mode=mode,
+            valid_only=valid_only,
+        )
+        use_case = ListTemplatesUseCase(template_repository)
+        templates = use_case.execute(user_id, skip=skip, limit=limit, filter=tpl_filter)
+        count_use_case = CountTemplatesUseCase(template_repository)
+        total = count_use_case.execute(user_id, filter=tpl_filter)
 
-    list_uc = ListTemplatesUseCase(repo)
-    count_uc = CountTemplatesUseCase(repo)
-    filters = ListTemplatesFilter(
-        category=category,
-        tag=tag,
-        mode=mode,
-        valid_only=True,  # 仅返回 active + 有片段配置
+        # 批量查询使用次数
+        items = []
+        for t in templates:
+            usage = template_repository.get_usage_count(t.id)
+            items.append(_to_response(t, usage_count=usage))
+    except Exception:
+        logger.exception("list_templates 查询失败: user_id=%s", user_id)
+        return ListTemplatesResponse(items=[], total=0)
+    return ListTemplatesResponse(
+        items=items,
+        total=total,
     )
-    skip = (page - 1) * page_size
-    templates = list_uc.execute(user_id, skip=skip, limit=page_size, filter=filters)
-    total = count_uc.execute(user_id, filter=filters)
-    items = [TemplateResponse.model_validate(tpl, from_attributes=True) for tpl in templates]
-    return ListTemplatesResponse(items=items, total=total)
+
+
+@router.get("/{template_id}", response_model=TemplateResponse)
+def get_template(
+    template_id: str,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
+) -> TemplateResponse:
+    user_id = authenticated_user.user.id
+    try:
+        use_case = GetTemplateUseCase(template_repository)
+        template = use_case.execute(template_id, user_id)
+        usage = template_repository.get_usage_count(template_id)
+    except Exception as _e:
+        logger.exception("get_template 查询失败: template_id=%s", template_id)
+        raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail="模板查询失败") from _e
+    if template is None:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Template not found")
+    return _to_response(template, usage_count=usage)
+
+
+@router.post("", response_model=TemplateResponse, status_code=status.HTTP_201_CREATED)
+def create_template(
+    request: CreateTemplateRequest,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
+) -> TemplateResponse:
+    user_id = authenticated_user.user.id
+    command = CreateTemplateCommand(
+        user_id=user_id,
+        name=request.name,
+        mode=request.mode,
+        category=request.category,
+        tags=request.tags,
+        title_config=request.title_config,
+        subtitle_config=request.subtitle_config,
+        bgm_config=request.bgm_config,
+        estimated_duration=request.estimated_duration,
+        segments=[
+            SegmentCommand(
+                segment_order=s.segment_order,
+                duration_min=s.duration_min,
+                duration_max=s.duration_max,
+                material_type=s.material_type,
+            )
+            for s in request.segments
+        ],
+    )
+    use_case = CreateTemplateUseCase(template_repository)
+    try:
+        template = use_case.execute(command)
+    except ValidationError as exc:
+        raise HTTPException(status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, detail=str(exc)) from exc
+    return _to_response(template)
+
+
+@router.patch("/{template_id}", response_model=TemplateResponse)
+def update_template(
+    template_id: str,
+    request: UpdateTemplateRequest,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
+) -> TemplateResponse:
+    user_id = authenticated_user.user.id
+    command = UpdateTemplateCommand(
+        template_id=template_id,
+        user_id=user_id,
+        name=request.name,
+        mode=request.mode,
+        category=request.category,
+        tags=request.tags,
+        title_config=request.title_config,
+        subtitle_config=request.subtitle_config,
+        bgm_config=request.bgm_config,
+        estimated_duration=request.estimated_duration,
+        segments=(
+            [
+                SegmentCommand(
+                    segment_order=s.segment_order,
+                    duration_min=s.duration_min,
+                    duration_max=s.duration_max,
+                    material_type=s.material_type,
+                )
+                for s in request.segments
+            ]
+            if request.segments is not None
+            else None
+        ),
+    )
+    use_case = UpdateTemplateUseCase(template_repository)
+    try:
+        template = use_case.execute(command)
+    except NotFoundError as _e:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Template not found") from _e
+    except ValidationError as exc:
+        raise HTTPException(status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, detail=str(exc)) from exc
+    return _to_response(template)
+
+
+@router.delete("/{template_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None, response_class=Response)
+def delete_template(
+    template_id: str,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
+) -> Response:
+    user_id = authenticated_user.user.id
+    use_case = DeleteTemplateUseCase(template_repository)
+    deleted = use_case.execute(template_id, user_id)
+    if not deleted:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Template not found")
+    return
+
+
+@router.post("/{template_id}/copy", response_model=TemplateResponse, status_code=status.HTTP_201_CREATED)
+def copy_template(
+    template_id: str,
+    request: CopyTemplateRequest,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
+) -> TemplateResponse:
+    """复制模板（含所有片段配置）"""
+    user_id = authenticated_user.user.id
+    command = CopyTemplateCommand(
+        template_id=template_id,
+        user_id=user_id,
+        new_name=request.new_name,
+    )
+    use_case = CopyTemplateUseCase(template_repository)
+    try:
+        template = use_case.execute(command)
+    except NotFoundError as _e:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Template not found") from _e
+    except ValidationError as exc:
+        raise HTTPException(status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, detail=str(exc)) from exc
+    return _to_response(template)
+
+
+@router.get("/{template_id}/usage", response_model=TemplateUsageResponse)
+def get_template_usage(
+    template_id: str,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
+) -> TemplateUsageResponse:
+    """获取模板使用次数（关联的剪辑计划数量）"""
+    user_id = authenticated_user.user.id
+    # 鉴权：确保模板存在且属于当前用户
+    use_case = GetTemplateUseCase(template_repository)
+    template = use_case.execute(template_id, user_id)
+    if template is None:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Template not found")
+    usage = template_repository.get_usage_count(template_id)
+    return TemplateUsageResponse(template_id=template_id, usage_count=usage)
+
+
+@router.post("/{template_id}/toggle-favorite", response_model=ToggleFavoriteResponse)
+def toggle_favorite(
+    template_id: str,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
+) -> ToggleFavoriteResponse:
+    """切换模板收藏状态（当前为兼容端点，始终返回 false）"""
+    user_id = authenticated_user.user.id
+    use_case = GetTemplateUseCase(template_repository)
+    try:
+        template = use_case.execute(template_id, user_id)
+    except Exception as _e:
+        logger.exception("toggle_favorite 查询失败: template_id=%s", template_id)
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Template not found") from _e
+    if template is None:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Template not found")
+    return ToggleFavoriteResponse(id=template_id, is_favorite=False)
+
+
+# ── Validate template ──
+
+
+@router.post("/{template_id}/validate", response_model=ValidateTemplateResponse)
+def validate_template(
+    template_id: str,
+    request: ValidateTemplateRequest = ValidateTemplateRequest(),
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
+) -> ValidateTemplateResponse:
+    user_id = authenticated_user.user.id
+    command = ValidateTemplateCommand(
+        template_id=template_id,
+        user_id=user_id,
+        voiceover_duration=request.voiceover_duration,
+    )
+    use_case = ValidateTemplateUseCase(template_repository)
+    try:
+        result = use_case.execute(command)
+    except NotFoundError as _e:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Template not found") from _e
+    except ValidationError as exc:
+        raise HTTPException(status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, detail=str(exc)) from exc
+
+    return ValidateTemplateResponse(
+        template=_to_response(result.template),
+        warnings=[GenerateWarningResponse(code=w.code, message=w.message, details=w.details) for w in result.warnings],
+    )
+
+
+# ── Category CRUD ──
+
+
+@router.get("/categories/list", response_model=ListCategoriesResponse)
+def list_categories(
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
+) -> ListCategoriesResponse:
+    user_id = authenticated_user.user.id
+    try:
+        use_case = ListCategoriesUseCase(template_repository)
+        categories = use_case.execute(user_id)
+    except Exception:
+        logger.exception("list_categories 查询失败: user_id=%s", user_id)
+        return ListCategoriesResponse(items=[])
+    return ListCategoriesResponse(
+        items=[CategoryResponse(id=c.id, user_id=c.user_id, name=c.name, created_at=c.created_at) for c in categories],
+    )
+
+
+@router.post("/categories", response_model=CategoryResponse, status_code=status.HTTP_201_CREATED)
+def create_category(
+    request: CreateCategoryRequest,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
+) -> CategoryResponse:
+    user_id = authenticated_user.user.id
+    command = CreateCategoryCommand(user_id=user_id, name=request.name)
+    use_case = CreateCategoryUseCase(template_repository)
+    category = use_case.execute(command)
+    return CategoryResponse(
+        id=category.id,
+        user_id=category.user_id,
+        name=category.name,
+        created_at=category.created_at,
+    )
+
+
+@router.delete(
+    "/categories/{category_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None, response_class=Response
+)
+def delete_category(
+    category_id: str,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
+) -> Response:
+    user_id = authenticated_user.user.id
+    use_case = DeleteCategoryUseCase(template_repository)
+    deleted = use_case.execute(category_id, user_id)
+    if not deleted:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Category not found")
+    return Response(status_code=204)
+
+
+# ── Tags ──
+
+
+@router.get("/tags/list", response_model=ListTagsResponse)
+def list_tags(
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
+) -> ListTagsResponse:
+    """获取用户所有模板标签（去重排序）"""
+    user_id = authenticated_user.user.id
+    try:
+        use_case = ListTagsUseCase(template_repository)
+        tags = use_case.execute(user_id)
+    except Exception:
+        logger.exception("list_tags 查询失败: user_id=%s", user_id)
+        return ListTagsResponse(items=[])
+    return ListTagsResponse(items=tags)

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

@@ -28,7 +28,7 @@ from .adjustments import router as adjustments_router
 from .ai_features import router as ai_features_router
 from .bgm import router as bgm_router
 from .clips import router as clips_router
-from .dependencies import get_draft_plan_id, get_editor_services, resolve_draft_plan_id  # noqa: F401
+from .dependencies import get_draft_plan_id, get_editor_services  # noqa: F401
 from .draft import router as draft_router
 from .effects import router as effects_router
 from .export import router as export_router

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:
-                logger.exception("获取素材URL失败: asset_id=%s", aid)
+            except Exception as e:
+                logger.warning("获取素材URL失败: asset_id=%s error=%s", aid, str(e))
 
         if not video_urls:
             logger.info("无可用视频素材，跳过视频理解分析")
@@ -108,7 +108,7 @@ def _build_asset_analyses(
         return analyses
 
     except Exception as e:
-        logger.exception("MediaKit 视频理解异常，将降级到无分析模式: %s", e)
+        logger.warning("MediaKit 视频理解异常，将降级到无分析模式: %s", str(e))
         return {}
 
 
@@ -177,7 +177,7 @@ def editor_ai_recommend(
         try:
             db.rollback()
         except Exception:
-            logger.exception("db rollback failed in ai_recommend")
+            pass
         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 as e:
-        logger.exception("获取存储服务失败，跳过asset_url生成: %s", e)
+    except Exception:
+        logger.warning("获取存储服务失败，跳过asset_url生成")
         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.exception("批量查询素材失败: asset_ids=%s", asset_ids)
+        logger.warning("批量查询素材失败: asset_ids=%s", asset_ids, exc_info=True)
         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.exception("生成素材签名URL失败: asset_id=%s", aid)
+            logger.warning("生成素材签名URL失败: asset_id=%s", aid, exc_info=True)
             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:
-                logger.exception("获取素材URL失败: asset_id=%s", asset_id)
+            except Exception as e:
+                logger.warning("获取素材URL失败: asset_id=%s error=%s", asset_id, e)
 
         if not video_urls:
             return {}
@@ -563,7 +563,7 @@ def _get_mediakit_recommendations(
         return recommendations
 
     except Exception as e:
-        logger.exception("MediaKit 智能选片异常，降级为随机选择: %s", e)
+        logger.warning("MediaKit 智能选片异常，降级为随机选择: %s", e)
         return {}
 
 
@@ -622,10 +622,8 @@ def create_clips_from_assets_editor(
     """从素材批量创建片段（按模板segment配置创建，MediaKit异步更新）.
 
     逻辑：
-    1. 从模板读取 segments，片段数量优先级：显式 clip_count（1-10）→ 旧字段
-       required_clips_count（兼容，超10截断）→ 默认 3（产品默认 3 段）。
-       片段数大于模板 segment 数时按顺序循环复用 segment 配置。
-    2. 每个片段时长在对应 segment 的 duration_min ~ duration_max 之间随机取值（保留一位小数）
+    1. 从模板读取 segments，片段数量 = segment 数量（忽略前端传的 required_clips_count）
+    2. 每个片段时长在 segment 的 duration_min ~ duration_max 之间随机取值（保留一位小数）
     3. 素材按片段顺序轮询分配，素材不够时同一素材切多个片段
     4. 使用 replace_all_clips_transactional 原子性地清空旧片段并创建新的（随机起始时间）
     5. 立即返回响应（目标 <1秒）
@@ -650,22 +648,6 @@ def create_clips_from_assets_editor(
             detail="模板未配置片段",
         )
 
-    # 1.5 归一化片段数量：
-    # 优先级：显式 clip_count → 旧字段 required_clips_count（由 schema 归一化到 clip_count）
-    # → 默认 3（产品默认 3 段）。按 N 循环复用 segment 配置；N <= len(segments) 时截取前 N 个
-    # （保持向后兼容：原模板有 N 个 segment、前端不传 clip_count 且 N<=10 时按模板段数创建；
-    # 默认模板仅有 1 个通用 segment 时按 clip_count=3 循环生成 3 段）。
-    requested_clip_count = getattr(body, "clip_count", None)
-    if requested_clip_count is None:
-        # schema 未显式传 clip_count 且无 legacy：使用模板 segments 数量，若超出 10 则截断
-        requested_clip_count = len(segments) if 1 <= len(segments) <= 10 else 3
-    requested_clip_count = max(1, min(int(requested_clip_count), 10))
-    effective_segments: list[tuple[int, float, float]] = []
-    for i in range(requested_clip_count):
-        src = segments[i % len(segments)]
-        effective_segments.append((i, float(src[1]), float(src[2])))
-    segments = effective_segments
-
     # 防御：schema validator 已过滤 null/空串，这里再归一化一次，
     # 避免异常入参（undefined → null）导致后续 /assets/{id} 404 / 422
     asset_ids = [str(aid).strip() for aid in (body.asset_ids or []) if isinstance(aid, str) and aid.strip()]
@@ -878,7 +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.exception(
+        logger.warning(
             "from-assets 成片查重率超标: plan_id=%s dup_rate=%.1f%%",
             plan_id,
             dup_rate,
@@ -978,8 +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 as e:
-            logger.exception("后台任务: 获取存储服务失败，跳过 SceneChange 更新: %s", e)
+        except Exception:
+            logger.warning("后台任务: 获取存储服务失败，跳过 SceneChange 更新")
             return
 
         # 获取 MediaKit 客户端
@@ -1005,8 +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:
-                    logger.exception("后台任务: 获取素材URL失败: asset_id=%s", asset_id)
+                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)
 
             # 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):
@@ -1057,11 +1039,12 @@ def _update_mediakit_recommendations_async(  # pragma: no cover
                             asset_id,
                             len(scene_changes),
                         )
-                    except Exception:
+                    except Exception as cache_err:
                         # 缓存写入失败不影响本次片段更新
-                        logger.exception(
-                            "后台任务: 场景点缓存写入失败: asset_id=%s",
+                        logger.warning(
+                            "后台任务: 场景点缓存写入失败: asset_id=%s error=%s",
                             asset_id,
+                            cache_err,
                         )
 
             # SceneChange 未获得有效结果 → 尝试 analyze_videos 作为 fallback
@@ -1141,10 +1124,11 @@ def _update_mediakit_recommendations_async(  # pragma: no cover
                                 recommended_start + clip_duration,
                                 plan_id,
                             )
-                    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",
+                    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",
                             clip.id,
+                            me,
                         )
                         db.rollback()
                         continue
@@ -1160,8 +1144,8 @@ def _update_mediakit_recommendations_async(  # pragma: no cover
                         asset_id,
                         recommended_start,
                     )
-                except Exception:
-                    logger.exception("后台任务: 单个片段更新失败: clip_id=%s", clip.id)
+                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)
                     try:
                         db.rollback()
                     except Exception:
@@ -1170,9 +1154,9 @@ 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:
+    except Exception as e:
         # 后台任务失败不影响已创建的片段，静默处理
-        logger.exception("后台任务异常: plan_id=%s", plan_id)
+        logger.warning("后台任务异常: plan_id=%s error=%s", plan_id, e, exc_info=True)
         if db:
             try:
                 db.rollback()

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

@@ -2,16 +2,13 @@
 
 核心依赖：
 - get_editor_services: 获取模板+计划服务
-- get_draft_plan_id: Depends 形式的路径依赖（template_id 路径参数必填）
-- resolve_draft_plan_id: 纯函数版本，供 clips_standalone 等非路径参数场景复用
-  （支持空 tid 时自动兜底创建默认模板）
+- get_draft_plan_id: 根据 template_id 获取或创建草稿，返回 plan_id
 """
 
 from __future__ import annotations
 
 import logging
 
-from app.api.routes._default_template import get_or_create_default_template_id
 from app.auth import AuthenticatedUser, get_current_user
 from app.dependencies import get_db_session
 from app.services.edit_plan_service import EditPlanService
@@ -33,61 +30,50 @@ def get_editor_services(
     return EditTemplateService(db), EditPlanService(db)
 
 
-def resolve_draft_plan_id(
+def get_draft_plan_id(
     template_id: str,
-    services: tuple[EditTemplateService, EditPlanService],
-    current_user: AuthenticatedUser,
-    db: Session,
-    auto_create_default: bool = True,
+    services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+    db: Session = Depends(get_db_session),
 ) -> str:
-    """根据 template_id 获取或创建草稿，返回 plan_id（纯函数，不带 Depends）。
+    """路径依赖：根据 template_id 获取或创建草稿，返回 plan_id.
 
-    当 auto_create_default=True 且 template_id 为空时，自动调用
-    get_or_create_default_template_id 创建默认模板（用于 clips_standalone
-    等非路径参数场景）。
+    这是模板编辑器路由的核心依赖——所有编辑器端点都先经过这里，
+    确保 template_id → plan_id 的映射始终存在。
+
+    模板读取遵循单一数据源、显式判定（不使用异常降级）：
+    - 用户自建模板在旧表 ``templates``（归属 user_id，is_active=True）；
+    - 全局模板在新表 ``edit_templates``（无 user_id，全局可读）。
+    模板不存在、已删除或不归属于当前用户时，一律返回 404。
     """
     tpl_svc, plan_svc = services
     user_id = str(current_user.user.id)
 
-    # 0. 空 tid 兜底
-    if not template_id:
-        if auto_create_default:
-            tid = get_or_create_default_template_id(db, user_id)
-            if not tid:
-                raise HTTPException(
-                    status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-                    detail="无法自动创建默认模板，请刷新页面重试",
-                )
-            template_id = tid
-        else:
-            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail="template_id 不能为空",
-            )
-
-    # 1. 门禁：校验模板存在且可访问
+    # 0. 门禁：校验模板存在且可访问（即使草稿已缓存命中也要校验，
+    #    避免模板被删除/无权访问后仍可通过既有草稿 plan 继续操作）。
     old_repo = SQLAlchemyTemplateRepository(db)
     old_template = old_repo.get_active(template_id, user_id)
     is_global_template = tpl_svc.get_template(template_id) is not None
     if old_template is None and not is_global_template:
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="模板不存在")
 
-    # 2. 草稿已存在 → 直接返回
+    # 1. 草稿已存在 → 直接返回
     draft = tpl_svc.get_template_draft(template_id)
     if draft is not None:
         return draft.id
 
-    # 3. 全局模板（新系统）→ 用新服务创建草稿
+    # 2. 全局模板（新系统）→ 用新服务创建草稿
     if is_global_template:
         draft = tpl_svc.create_template_draft(template_id, user_id=user_id)
         return draft.id
 
-    # 4. 旧模板（templates 表）→ 基于旧模板创建草稿计划
+    # 3. 旧模板（templates 表）→ 基于旧模板创建草稿计划
     from app.services.plan_generator_service import PlanGeneratorService
 
     from packages.domain.edit_template import EditTemplate, EditTemplateStatus
     from packages.domain.template_clip_config import ClipType, TemplateClipConfig
 
+    # 构造伪 EditTemplate 对象（只填 generate_from_template 需要的字段）
     pseudo_template = EditTemplate(
         id=old_template.id,
         name=old_template.name,
@@ -95,6 +81,7 @@ def resolve_draft_plan_id(
         status=EditTemplateStatus.ACTIVE,
     )
 
+    # 将旧模板 segments 转换为 clip_configs
     clip_configs: list[TemplateClipConfig] = []
     for seg in old_template.segments or []:
         clip_configs.append(
@@ -118,6 +105,7 @@ def resolve_draft_plan_id(
     )
     plan = result["plan"]
 
+    # 标记为模板草稿（后续可复用 tpl_svc.get_template_draft 的查找逻辑）
     plan_svc.update_plan_config(plan.id, {"is_template_draft": True})
 
     logger.info(
@@ -127,23 +115,3 @@ def resolve_draft_plan_id(
         user_id,
     )
     return plan.id
-
-
-def get_draft_plan_id(
-    template_id: str,
-    services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
-) -> str:
-    """路径依赖：根据 template_id 获取或创建草稿，返回 plan_id.
-
-    Depends 版本：路径参数 template_id 由 FastAPI 保证非空，不自动兜底。
-    兜底逻辑走 resolve_draft_plan_id(auto_create_default=False)。
-    """
-    return resolve_draft_plan_id(
-        template_id=template_id,
-        services=services,
-        current_user=current_user,
-        db=db,
-        auto_create_default=False,
-    )

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

@@ -6,9 +6,9 @@
 from __future__ import annotations
 
 import re as _re
-from typing import Any, Optional
+from typing import Any, List, Optional
 
-from pydantic import BaseModel, Field, model_validator, validator
+from pydantic import BaseModel, Field, validator
 
 _EXPORT_RESOLUTION_PATTERN = _re.compile(r"^\d+x\d+$")
 _EXPORT_VALID_QUALITY_PRESETS = {"ultra_fast", "fast", "balanced", "high", "best"}
@@ -21,7 +21,7 @@ _EXPORT_VALID_FORMATS = {"mp4", "mov"}
 class AIRecommendRequest(BaseModel):
     """AI 推荐片段方案请求体"""
 
-    asset_ids: list[str] = Field(default_factory=list, description="素材 ID 列表")
+    asset_ids: List[str] = Field(default_factory=list, description="素材 ID 列表")
     editing_mode: str = Field(default="one_take", description="剪辑模式: one_take / pip / voice_over / voice_pip")
     target_duration: float = Field(default=30.0, ge=1.0, le=600.0, description="目标时长（秒）")
 
@@ -44,7 +44,7 @@ class AIRecommendResponse(BaseModel):
     """AI 推荐片段方案响应体"""
 
     plan_id: str = Field(..., description="剪辑计划 ID")
-    clips: list[AIRecommendClipItem] = Field(..., description="推荐的片段列表")
+    clips: List[AIRecommendClipItem] = Field(..., description="推荐的片段列表")
     config: dict[str, Any] = Field(..., description="推荐的 plan config（cover/title/subtitle/bgm）")
     total_duration: float = Field(..., ge=0.0, description="推荐方案总时长（秒）")
     confidence: float = Field(..., ge=0.0, le=1.0, description="AI 推荐置信度 (0~1)")
@@ -137,7 +137,7 @@ class ClipReorderItem(BaseModel):
 class ClipReorderRequest(BaseModel):
     """片段重排序请求"""
 
-    items: list[ClipReorderItem] = Field(..., min_length=1, max_length=500, description="重排序条目列表")
+    items: List[ClipReorderItem] = Field(..., min_length=1, max_length=500, description="重排序条目列表")
 
 
 class ClipReorderResponse(BaseModel):
@@ -151,7 +151,7 @@ class ClipReorderResponse(BaseModel):
 class ClipBatchDeleteRequest(BaseModel):
     """批量删除片段请求"""
 
-    clip_ids: list[str] = Field(..., min_length=1, max_length=500, description="要删除的片段ID列表")
+    clip_ids: List[str] = Field(..., min_length=1, max_length=500, description="要删除的片段ID列表")
 
 
 class ClipBatchDeleteResponse(BaseModel):
@@ -162,26 +162,13 @@ class ClipBatchDeleteResponse(BaseModel):
     message: str = ""
 
 
-# sentinel：区分「前端未传 clip_count」和「显式传 0/None」
-_UNSET = object()
-
-
 class ClipsFromAssetsRequest(BaseModel):
     """从素材批量创建片段请求"""
 
-    asset_ids: list[str] = Field(..., min_length=1, max_length=200, description="素材 ID 列表，按顺序追加到时间线末尾")
+    asset_ids: List[str] = Field(..., min_length=1, max_length=200, description="素材 ID 列表，按顺序追加到时间线末尾")
     clip_type: str = Field(default="main", description="片段类型，默认 main")
-    clip_count: Optional[int] = Field(
-        default=None,
-        ge=1,
-        le=10,
-        description="片段数量（1-10）；不传时使用旧字段 required_clips_count；两者都不传时回退为模板 segments 数量（默认 3 段）。",
-    )
     required_clips_count: Optional[int] = Field(
-        default=None,
-        ge=1,
-        le=200,
-        description="[已废弃] 旧字段，请使用 clip_count；仅作向后兼容——clip_count 未显式传入时才回退本字段（超10截断到10）。",
+        default=None, ge=1, le=200, description="要求创建的片段数量；不传则等于素材数量"
     )
 
     @validator("asset_ids", pre=True)
@@ -193,23 +180,6 @@ class ClipsFromAssetsRequest(BaseModel):
             return v
         return [x for x in v if isinstance(x, str) and x.strip()]
 
-    @model_validator(mode="before")
-    @classmethod
-    def _backfill_clip_count(cls, data: Any) -> Any:
-        """兼容旧字段 required_clips_count：仅当新字段 clip_count 未显式传入时才回退旧字段；
-        两者都没传时保持 clip_count=None，路由层按模板 segments 数量兜底。旧字段超 10 截断到 10。"""
-        if not isinstance(data, dict):
-            return data
-        has_new = "clip_count" in data and data["clip_count"] is not None
-        if not has_new:
-            legacy = data.get("required_clips_count")
-            if legacy is not None:
-                try:
-                    data["clip_count"] = max(1, min(int(legacy), 10))
-                except (TypeError, ValueError):
-                    pass
-        return data
-
 
 class ClipsFromAssetsResponse(BaseModel):
     """从素材批量创建片段响应"""
@@ -218,7 +188,7 @@ class ClipsFromAssetsResponse(BaseModel):
     created_count: int
     plan_id: str = ""
     message: str = ""
-    clip_ids: list[str] = Field(default_factory=list, description="创建的片段ID列表")
+    clip_ids: List[str] = Field(default_factory=list, description="创建的片段ID列表")
     duplicate_warning: Optional[str] = Field(default=None, description="查重率超标警告")
     exhaustion_warning: Optional[str] = Field(default=None, description="素材耗尽警告")
 
@@ -302,7 +272,7 @@ class ExportPresetItem(BaseModel):
 class ExportPresetListResponse(BaseModel):
     """导出预设列表响应"""
 
-    items: list[ExportPresetItem]
+    items: List[ExportPresetItem]
     total: int
 
 
@@ -316,7 +286,7 @@ class FilterPresetResponse(BaseModel):
     name: str
     category: str
     description: str
-    tags: list[str] = Field(default_factory=list)
+    tags: List[str] = Field(default_factory=list)
 
 
 class FilterConfigResponse(BaseModel):
@@ -346,7 +316,7 @@ class FilterUpdateRequest(BaseModel):
 class FilterPresetListResponse(BaseModel):
     """滤镜预设列表响应"""
 
-    items: list[FilterPresetResponse]
+    items: List[FilterPresetResponse]
     total: int
 
 
@@ -360,7 +330,7 @@ class TransitionPresetResponse(BaseModel):
     name: str
     category: str
     description: str
-    tags: list[str] = Field(default_factory=list)
+    tags: List[str] = Field(default_factory=list)
     default_duration: float
     min_duration: float
     max_duration: float
@@ -402,7 +372,7 @@ class BatchTransitionResponse(BaseModel):
 class TransitionPresetListResponse(BaseModel):
     """转场预设列表响应"""
 
-    items: list[TransitionPresetResponse]
+    items: List[TransitionPresetResponse]
     total: int
 
 
@@ -458,7 +428,7 @@ class EditorClipResponse(BaseModel):
 class EditorClipListResponse(BaseModel):
     """片段列表响应"""
 
-    items: list[EditorClipResponse]
+    items: List[EditorClipResponse]
     total: int
 
 
@@ -496,7 +466,7 @@ class EditorClipBatchItem(BaseModel):
 class EditorClipBatchUpdateRequest(BaseModel):
     """批量替换clips请求（全量覆盖）"""
 
-    clips: list[EditorClipBatchItem] = Field(default_factory=list)
+    clips: List[EditorClipBatchItem] = Field(default_factory=list)
 
 
 class EditorClipBatchUpdateResponse(BaseModel):
@@ -584,4 +554,4 @@ class EditorTimelineResponse(BaseModel):
 
     plan_id: str
     total_duration: float
-    scenes: list[EditorTimelineSceneResponse]
+    scenes: List[EditorTimelineSceneResponse]

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

@@ -4,14 +4,12 @@ from __future__ import annotations
 
 import json
 import logging
-import math
 import subprocess
 import tempfile
 from pathlib import Path
 from typing import Any, Optional
 
 from app.auth import AuthenticatedUser, get_current_user
-from app.config import settings
 from app.core.celery_app import celery_app
 from app.core.storage import get_storage_service
 from app.dependencies import (
@@ -53,8 +51,6 @@ from packages.application.tts_job.use_cases import (
 )
 from packages.application.tts_job.workflow import TTSWorkflowService
 from packages.domain import Asset, AssetLibrary, AssetLibraryKind, AssetStatus, ClassificationStatus
-from packages.domain.points_rules import calculate_points_cost
-from packages.domain.points_service import PointsService
 from packages.domain.voice_presets import list_voices
 from packages.ports.asset_library_repository import AssetLibraryRepository
 from packages.ports.asset_repository import AssetRepository
@@ -132,7 +128,6 @@ def _to_response(job, sign_url=None) -> TTSJobResponse:
 def synthesize(
     request: TTSSynthesizeRequest,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
     repository: SQLAlchemyTTSJobRepository = Depends(_get_repository),
     cosyvoice_service: CosyVoiceService = Depends(get_cosyvoice_service),
     voice_clone_repo=Depends(get_voice_clone_profile_repository),
@@ -144,31 +139,6 @@ def synthesize(
     """
     user_id = authenticated_user.user.id
 
-    # ── 积分扣点（#1895 P2） ──
-    _points_deducted = 0
-    _points_scene = "ai_voice"
-    _points_svc = PointsService() if settings.points_enabled else None
-    if _points_svc is not None:
-        # 中文按 ~240 字/分钟粗估时长，至少按 1 分钟扣 1 分
-        est_minutes = max(1.0, math.ceil(len(request.text) / 240))
-        _points_deducted = calculate_points_cost(
-            _points_scene,
-            is_member=getattr(authenticated_user.user, "is_member", False),
-            duration_minutes=est_minutes,
-            member_type=getattr(authenticated_user.user, "member_type", None),
-        )
-        _deduct_res = _points_svc.deduct_points(user_id, _points_deducted, _points_scene, db)
-        if not _deduct_res["success"]:
-            raise HTTPException(
-                status_code=402,
-                detail={
-                    "code": "INSUFFICIENT_POINTS",
-                    "message": f"积分不足，需要 {_points_deducted} 积分，当前余额 {_deduct_res['balance']}",
-                    "required": _points_deducted,
-                    "balance": _deduct_res["balance"],
-                },
-            )
-
     # 解析 voice_id：前端可能传克隆音色 profile UUID（而非 CosyVoice voice_id），
     # 与 /tts/preview 保持一致：命中 profile → 校验归属 → 取 CosyVoice voice_id
     actual_voice_id = request.voice_id
@@ -203,15 +173,6 @@ 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 "",
-        "language": request.language or "zh-CN",
-    }
-    if request.metadata_:
-        synthesis_meta.update(request.metadata_)
-
     use_case = CreateTTSJobUseCase(repository)
     job = use_case.execute(
         user_id=user_id,
@@ -219,7 +180,7 @@ def synthesize(
         voice_id=actual_voice_id,
         voice_model=request.voice_model,
         voice_clone_profile_id=voice_clone_profile_id,
-        metadata=synthesis_meta,
+        metadata=request.metadata_,
     )
 
     # 提交 CosyVoice 合成任务
@@ -228,7 +189,6 @@ def synthesize(
         cosyvoice_service=cosyvoice_service,
     )
 
-    synthesis_error: Exception | None = None
     try:
         job = workflow.start_synthesis(job.id)
     except Exception as e:
@@ -236,17 +196,10 @@ def synthesize(
         # 但 DB 异常、网络异常等意外错误可能逃逸。
         # 与音色克隆接口保持一致：标记 failed，返回 201，不抛 500。
         logger.error(f"TTS 合成异常: job_id={job.id}, error={e}", exc_info=True)
-        synthesis_error = e
         try:
             job = workflow.process_synthesis_failure(job.id, str(e))
         except Exception as inner_e:
             logger.error(f"标记 TTS job 失败时出错: job_id={job.id}, error={inner_e}")
-    # 合成失败且已扣积分 → 退费
-    if synthesis_error is not None and _points_deducted > 0 and _points_svc is not None:
-        try:
-            _points_svc.refund_points(user_id, _points_deducted, _points_scene, db, ref_id=job.id)
-        except Exception as refund_err:
-            logger.warning(f"TTS 合失败退积分异常: job_id={job.id}, err={refund_err}")
 
     # 若任务处于 processing 状态（异步模式），触发 Celery 后台轮询
     if job.status.value == "processing":
@@ -261,17 +214,10 @@ def synthesize(
                 celery_app.send_task("worker.process_tts_synthesis", args=[job.id])
         except Exception as e:
             # Celery 调度失败，标记 job 为 failed
-            # e used below for refund context
             try:
                 workflow.process_synthesis_failure(job.id, f"Celery 任务调度失败: {e}")
             except Exception as inner_e:
                 logger.error(f"Celery 调度后标记失败时出错: job_id={job.id}, error={inner_e}")
-            # 调度失败退费
-            if _points_deducted > 0 and _points_svc is not None:
-                try:
-                    _points_svc.refund_points(user_id, _points_deducted, _points_scene, db, ref_id=job.id)
-                except Exception as refund_err:
-                    logger.warning(f"Celery 调度失败退积分异常: job_id={job.id}, err={refund_err}")
 
     return TTSSynthesizeResponse(
         job_id=job.id,
@@ -508,17 +454,10 @@ def save_tts_job_to_library(
         try:
             proc = subprocess.run(
                 [
-                    "ffprobe",
-                    "-v",
-                    "quiet",
-                    "-print_format",
-                    "json",
-                    "-show_format",
-                    str(tmp_path),
+                    "ffprobe", "-v", "quiet", "-print_format", "json",
+                    "-show_format", str(tmp_path),
                 ],
-                capture_output=True,
-                text=True,
-                timeout=10,
+                capture_output=True, text=True, timeout=10,
             )
             if proc.returncode == 0:
                 fmt = json.loads(proc.stdout).get("format", {})
@@ -598,7 +537,6 @@ def save_tts_job_to_library(
 def preview_tts(
     request: TTSPreviewRequest,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
     cosyvoice_service: CosyVoiceService = Depends(get_cosyvoice_service),
     voice_clone_repo=Depends(get_voice_clone_profile_repository),
 ) -> TTSPreviewResponse:
@@ -607,31 +545,6 @@ def preview_tts(
     用于前端预览配音效果，限制文本长度 200 字以内。
     支持预设音色和克隆音色：克隆音色传的是 profile UUID，需解析为 CosyVoice voice_id。
     """
-    user_id = authenticated_user.user.id
-    # ── 积分扣点（#1895 P2） ──
-    _points_deducted = 0
-    _points_scene = "ai_voice"
-    _points_svc = PointsService() if settings.points_enabled else None
-    if _points_svc is not None:
-        est_minutes = max(1.0, math.ceil(len(request.text) / 240))
-        _points_deducted = calculate_points_cost(
-            _points_scene,
-            is_member=getattr(authenticated_user.user, "is_member", False),
-            duration_minutes=est_minutes,
-            member_type=getattr(authenticated_user.user, "member_type", None),
-        )
-        _deduct_res = _points_svc.deduct_points(user_id, _points_deducted, _points_scene, db)
-        if not _deduct_res["success"]:
-            raise HTTPException(
-                status_code=402,
-                detail={
-                    "code": "INSUFFICIENT_POINTS",
-                    "message": f"积分不足，需要 {_points_deducted} 积分，当前余额 {_deduct_res['balance']}",
-                    "required": _points_deducted,
-                    "balance": _deduct_res["balance"],
-                },
-            )
-
     # 解析 voice_id：前端可能传 VoiceCloneProfile UUID 或预设音色 ID
     actual_voice_id = request.voice_id
     profile = voice_clone_repo.get(request.voice_id)
@@ -654,19 +567,17 @@ def preview_tts(
             text=request.text,
             voice_id=actual_voice_id,
             speed=request.speed,
-            emotion=request.emotion,
-            language=getattr(request, "language", "zh-CN"),
         )
-    except (CosyVoiceError, ValueError) as e:
-        # 合成失败退费
-        if _points_deducted > 0 and _points_svc is not None:
-            try:
-                _points_svc.refund_points(user_id, _points_deducted, _points_scene, db)
-            except Exception as refund_err:
-                logger.warning(f"TTS 预览失败退积分异常: {refund_err}")
-        if isinstance(e, CosyVoiceError):
-            raise HTTPException(status_code=status.HTTP_502_BAD_GATEWAY, detail=f"TTS 合成失败: {e}") from e
-        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e)) from e
+    except CosyVoiceError as e:
+        raise HTTPException(
+            status_code=status.HTTP_502_BAD_GATEWAY,
+            detail=f"TTS 合成失败: {e}",
+        ) from e
+    except ValueError as e:
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail=str(e),
+        ) from e
 
     return TTSPreviewResponse(
         audio_url=result.audio_url,

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

@@ -3,17 +3,14 @@
 from __future__ import annotations
 
 import logging
-import math
 from typing import Optional
 
 from app.auth import AuthenticatedUser, get_current_user
-from app.config import settings
 from app.core.celery_app import celery_app
 from app.core.storage import get_storage_service
 from app.dependencies import (
     get_asset_repository,
     get_cosyvoice_service,
-    get_db_session,
     get_project_repository,
     get_voice_clone_profile_repository,
 )
@@ -25,7 +22,6 @@ from app.schemas.voice_clone import (
     VoiceCloneStatusResponse,
 )
 from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
-from sqlalchemy.orm import Session
 
 from packages.adapters.sqlalchemy_impl.voice_clone_profile_repository import (
     SQLAlchemyVoiceCloneProfileRepository,
@@ -42,11 +38,6 @@ from packages.application.voice_clone.use_cases import (
 from packages.application.voice_clone.workflow import (
     VoiceCloneWorkflowService,
 )
-from packages.domain.points_rules import calculate_points_cost
-from packages.domain.points_service import PointsService
-
-# remove duplicate
-_DUMMY_DELETED = ()
 from packages.ports.asset_repository import AssetRepository
 from packages.ports.project_repository import ProjectRepository
 from packages.shared.storage import SharedStorageService
@@ -172,12 +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.exception("Failed to dispatch Celery task")
+            logger.error(f"Failed to dispatch Celery task: {e}")
             # 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:
-                logger.exception("Failed to mark profile as failed after dispatch error")
+            except Exception as inner_e:
+                logger.error(f"Failed to mark profile as failed after dispatch error: {inner_e}")
 
     return _to_response(profile)
 
@@ -286,111 +277,32 @@ 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.exception("Failed to dispatch Celery task")
+            logger.error(f"Failed to dispatch Celery task: {e}")
             # 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:
-                logger.exception("Failed to mark profile as failed after dispatch error")
+            except Exception as inner_e:
+                logger.error(f"Failed to mark profile as failed after dispatch error: {inner_e}")
 
     return _to_response(profile)
 
 
-_ALLOWED_PREVIEW_EMOTIONS = {
-    "",
-    # 7 种标准英文枚举（CosyVoice v3 官方值）
-    "neutral",
-    "happy",
-    "sad",
-    "angry",
-    "surprised",
-    "fearful",
-    "disgusted",
-    # 前端中文 7 标签
-    "中立",
-    "开心",
-    "难过",
-    "生气",
-    "惊讶",
-    "恐惧",
-    "厌恶",
-    # 旧英文 4 枚举 + 常见中文别名兼容
-    "natural",
-    "excited",
-    "calm",
-    "friendly",
-    "自然",
-    "愉快",
-    "高兴",
-    "快乐",
-    "兴奋",
-    "悲伤",
-    "愤怒",
-    "惊奇",
-    "吃惊",
-    "害怕",
-    "讨厌",
-    # 灵应 P1 指定别名
-    "中性",
-    "伤心",
-    "沉稳",
-    "亲切",
-}
-
-
 @router.get("/{clone_id}/preview", response_model=VoiceClonePreviewResponse)
 def get_voice_clone_preview(
     clone_id: str,
     text: str = Query("", description="自定义试听文本，为空则使用默认示例"),
-    speed: float = Query(1.0, ge=0.5, le=2.0, description="语速，0.5-2.0，默认 1.0"),
-    emotion: str = Query(
-        "",
-        description="情绪：neutral/happy/sad/angry/surprised/fearful/disgusted，兼容旧值 natural/excited/calm/friendly，空为默认自然",
-    ),
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
-    db: Session = Depends(get_db_session),
     repository: SQLAlchemyVoiceCloneProfileRepository = Depends(get_voice_clone_profile_repository),
     cosyvoice: CosyVoiceService = Depends(get_cosyvoice_service),
 ) -> VoiceClonePreviewResponse:
     """获取克隆音色试听音频（实时 TTS 合成）。
 
     - 克隆音色必须处于 ready 状态
-    - 使用默认试听文本时，结果缓存 7 天（仅默认 text+speed=1.0+emotion=空 组合缓存）
-    - 可传入自定义 text/speed/emotion 试听不同效果
+    - 使用默认试听文本时，结果缓存 7 天
+    - 可传入自定义 text 参数试听不同文本
     """
     import time
 
-    user_id = authenticated_user.user.id
-    _points_deducted = 0
-    _points_scene = "voice_clone_synth"
-    _points_svc = PointsService() if settings.points_enabled else None
-    _preview_text_for_points = text.strip() or CLONE_PREVIEW_TEMPLATE
-    if _points_svc is not None:
-        est_minutes = max(1.0, math.ceil(len(_preview_text_for_points) / 240))
-        _points_deducted = calculate_points_cost(
-            _points_scene,
-            is_member=getattr(authenticated_user.user, "is_member", False),
-            duration_minutes=est_minutes,
-            member_type=getattr(authenticated_user.user, "member_type", None),
-        )
-        _deduct_res = _points_svc.deduct_points(user_id, _points_deducted, _points_scene, db)
-        if not _deduct_res["success"]:
-            raise HTTPException(
-                status_code=402,
-                detail={
-                    "code": "INSUFFICIENT_POINTS",
-                    "message": f"积分不足，需要 {_points_deducted} 积分，当前余额 {_deduct_res['balance']}",
-                    "required": _points_deducted,
-                    "balance": _deduct_res["balance"],
-                },
-            )
-
-    if emotion not in _ALLOWED_PREVIEW_EMOTIONS:
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail=f"不支持的 emotion 值: {emotion}，可选: neutral/happy/sad/angry/surprised/fearful/disgusted 或中文 中立/中性/开心/难过/伤心/生气/愤怒/惊讶/吃惊/恐惧/害怕/厌恶/讨厌 或留空",
-        )
-
     use_case = GetVoiceCloneUseCase(repository)
     try:
         profile = use_case.execute(clone_id, authenticated_user.user.id)
@@ -403,8 +315,8 @@ def get_voice_clone_preview(
             detail=f"Voice clone is not ready (current status: {profile.status})",
         )
 
-    # 仅默认试听文本 + 默认 speed + 默认 emotion 时使用缓存
-    use_cache = (not text.strip()) and abs(speed - 1.0) < 1e-6 and (not emotion)
+    # 有自定义文本时不缓存
+    use_cache = not text.strip()
 
     if use_cache and clone_id in _clone_preview_cache:
         audio_url, duration, file_size, cached_text, cached_at = _clone_preview_cache[clone_id]
@@ -425,20 +337,12 @@ def get_voice_clone_preview(
             text=preview_text,
             voice_id=profile.voice_id,
             format="mp3",
-            speed=speed,
-            emotion=emotion,
+            speed=1.0,
         )
-    except (CosyVoiceError, ValueError) as e:
-        if _points_deducted > 0 and _points_svc is not None:
-            try:
-                _points_svc.refund_points(user_id, _points_deducted, _points_scene, db)
-            except Exception as refund_err:
-                logger.warning(f"克隆音色试听失败退积分异常: clone_id={clone_id}, err={refund_err}")
-        if isinstance(e, CosyVoiceError):
-            raise HTTPException(status_code=502, detail=f"TTS 合成失败: {e}") from e
-        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e)) from e
+    except CosyVoiceError as e:
+        raise HTTPException(status_code=502, detail=f"TTS 合成失败: {e}") from e
 
-    # 缓存（仅默认参数组合）
+    # 缓存（仅默认试听文本）
     if use_cache:
         _clone_preview_cache[clone_id] = (
             result.audio_url,

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:
-        logger.exception("Failed to generate preset voice preview: voice_id=%s", voice_id)
+    except Exception as e:
+        logger.warning("Failed to generate preview for %s, using fallback: %s", voice_id, e)
         return fallback_url
 
 
@@ -127,7 +127,6 @@ 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
 
@@ -733,7 +732,7 @@ def _find_or_create_voice_library_for_extract(*, user_id, project_repository, as
             try:
                 session.rollback()
             except Exception:
-                logger.exception("session rollback failed in _find_or_create_voice_library")
+                pass
         for lib in asset_library_repository.find_by_project(project.id):
             kind = lib.kind.value if hasattr(lib.kind, "value") else lib.kind
             if kind == AssetLibraryKind.VOICE.value:

apps/api/app/dependencies.py

@@ -6,7 +6,7 @@ ensuring proper lifecycle management and testability.
 
 from __future__ import annotations
 
-from collections.abc import Generator
+from typing import Generator
 
 import redis
 from app.config import settings

apps/api/app/middleware/monitoring.py

@@ -4,7 +4,7 @@
 
 import logging
 import time
-from collections.abc import Callable
+from typing import Callable
 
 from fastapi import Request
 from starlette.middleware.base import BaseHTTPMiddleware

apps/api/app/middleware/prometheus_metrics.py

@@ -10,7 +10,7 @@ Exposes:
 
 import re
 import time
-from collections.abc import Callable
+from typing import Callable
 
 from fastapi import Request, Response
 from prometheus_client import (

apps/api/app/schemas/ai_avatar_render.py

@@ -50,11 +50,9 @@ class CreateAiAvatarRenderRequest(BaseModel):
     """创建渲染任务请求."""
 
     lipsync_job_id: str = Field(..., description="对口型任务 ID")
-    script_id: str = Field("", description="文案 ID（选自文案库时传；手动输入文案直生场景可留空）")
+    script_id: str = Field(..., description="文案 ID")
     b_roll_segments: list[BRollSegment] = Field(default_factory=list, description="B-roll 片段列表")
-    title_config: dict[str, Any] = Field(
-        default_factory=dict, description="标题配置（可含 title_image_dataurl：前端 Canvas 渲染的标题 PNG dataURL）"
-    )
+    title_config: dict[str, Any] = Field(default_factory=dict, description="标题配置")
     cover_config: dict[str, Any] = Field(default_factory=dict, description="封面配置")
     project_id: str = Field("", description="项目 ID")
 
@@ -69,7 +67,10 @@ class CreateAiAvatarRenderRequest(BaseModel):
     @field_validator("script_id")
     @classmethod
     def validate_script_id(cls, v: str) -> str:
-        return (v or "").strip()
+        v = v.strip()
+        if not v:
+            raise ValueError("script_id 不能为空")
+        return v
 
 
 class AiAvatarRenderJobResponse(BaseModel):
@@ -79,7 +80,7 @@ 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]
@@ -108,19 +109,3 @@ 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）")
-
-
-class FinalizeRenderResponse(BaseModel):
-    """封面选好后点「完成」，正式入库成片库的响应."""
-
-    video_id: str = Field(..., description="成片库视频ID")
-    cover_url: str = Field("", description="封面URL")
-    status: str = Field("success", description="success/already_finalized")

apps/api/app/schemas/lipsync.py

@@ -1,20 +1,11 @@
-"""对口型 API Schema 定义 — #1796 / #1809 / #1822 / #1845（配音前置）.
-
-支持三种输入模式：
-1. TTS 直生模式（兼容旧版前端）：传 voice_id + script_text（+ speed/emotion），
-   后端 Celery 异步做 TTS 合成 + MediaKit 提交。
-2. 直接音频模式：传 video_url + audio_url（音频已由调用方准备好）。
-3. 预合成音频模式（#1845 配音前置新主路径）：前端先调 POST /lipsync/tts-preview
-   拿到 audio_url + sentence_timings，再在 create_job 时传 audio_url + audio_duration
-   + sentence_timings，后端跳过 TTS 和时间戳计算，直接 ffprobe 校验后提交 MediaKit。
-"""
+"""对口型 API Schema 定义 — #1796."""
 
 from __future__ import annotations
 
 from datetime import datetime
 from typing import Optional
 
-from pydantic import BaseModel, Field, model_validator
+from pydantic import BaseModel, Field, field_validator
 
 
 class LipsyncJobResponse(BaseModel):
@@ -26,17 +17,12 @@ 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
@@ -47,92 +33,38 @@ class LipsyncJobResponse(BaseModel):
 
 
 class CreateLipsyncJobRequest(BaseModel):
-    """创建对口型任务请求.
-
-    三种模式（三选一）：
-    - TTS 直生（旧版/降级）：voice_id + script_text 必填；audio_url 留空。
-    - 直接音频：video_url + audio_url 必填。
-    - 预合成音频（#1845 新主路径）：audio_url 必填 + 可选 audio_duration/sentence_timings；
-      后端同步 ffprobe 校验时长、写入 timings，直接提交 MediaKit。
-    """
+    """创建对口型任务请求."""
 
     video_url: str = Field(..., description="人物视频 URL（MP4，≤30min，单人真人）")
-
-    # 模式 2/3：直接/预合成音频
-    audio_url: str = Field("", description="驱动音频 URL（mp3/aac/wav/m4a/flac）；直生模式留空")
-    audio_duration: Optional[float] = Field(None, ge=0, description="预合成音频时长（秒），可选；后端会 ffprobe 校验")
-    sentence_timings: Optional[list] = Field(None, description="预合成接口返回的句子时间戳，可选；若传入则直接写入 job")
-
-    # 模式 1：TTS 直生
-    voice_id: str = Field("", description="音色 ID（预置音色或克隆音色 profile UUID）")
-    script_text: str = Field("", description="要合成的文案（直生模式必填，最长 5000 字符）")
-    speed: float = Field(1.0, ge=0.5, le=2.0, description="语速（0.5-2.0），默认 1.0")
-    emotion: str = Field(
-        "",
-        description="情绪（英文枚举 neutral/happy/sad/angry/surprised/fearful/disgusted，或中文 中立/开心/难过/生气/惊讶/恐惧/厌恶；空为默认自然）",
-    )
-
-    enable_video_loop: bool = Field(
-        True, description="音频长于视频时是否循环画面（AI数字人默认开启，防止音频长于视频被截断）"
-    )
+    audio_url: str = Field(..., description="驱动音频 URL（mp3/aac/wav/m4a/flac）")
+    enable_video_loop: bool = Field(False, description="音频长于视频时是否循环画面")
     project_id: str = Field("", description="项目 ID（可选）")
 
-    @model_validator(mode="after")
-    def _validate_input_mode(self) -> "CreateLipsyncJobRequest":
-        video = (self.video_url or "").strip()
-        if not video:
+    @field_validator("video_url")
+    @classmethod
+    def validate_video_url(cls, v: str) -> str:
+        v = v.strip()
+        if not v:
             raise ValueError("video_url 不能为空")
-        if not video.startswith(("http://", "https://")):
+        if not v.startswith(("http://", "https://")):
             raise ValueError("video_url 必须是 HTTP/HTTPS URL")
-        lower = video.lower().split("?")[0]
-        allowed_video_exts = (".mp4", ".mov", ".m4v", ".webm", ".avi", ".mkv", ".3gp")
-        if not any(lower.endswith(ext) for ext in allowed_video_exts):
-            raise ValueError("video_url 格式不支持，仅支持: " + ", ".join(allowed_video_exts))
+        # 仅支持 MP4
+        lower = v.lower().split("?")[0]
+        if not lower.endswith(".mp4"):
+            raise ValueError("video_url 仅支持 MP4 格式")
+        return v
 
-        has_audio = bool((self.audio_url or "").strip())
-        has_tts = bool((self.voice_id or "").strip()) and bool((self.script_text or "").strip())
-
-        if not has_audio and not has_tts:
-            raise ValueError(
-                "必须提供驱动音频：要么传 audio_url（直接/预合成音频模式），"
-                "要么同时传 voice_id + script_text（TTS 直生模式）"
-            )
-
-        if has_tts and len(self.script_text) > 5000:
-            raise ValueError("script_text 最长 5000 字符")
-
-        if has_audio:
-            au = self.audio_url.strip()
-            if not au.startswith(("http://", "https://")):
-                raise ValueError("audio_url 必须是 HTTP/HTTPS URL")
-            au_lower = au.lower().split("?")[0]
-            allowed = (".mp3", ".aac", ".wav", ".m4a", ".flac")
-            if not any(au_lower.endswith(ext) for ext in allowed):
-                raise ValueError(f"audio_url 格式不支持，仅支持: {', '.join(allowed)}")
-            self.audio_url = au
-
-        return self
-
-
-# ── #1845 TTS 预合成接口 ────────────────────────────────────────────────
-
-
-class AiAvatarTtsPreviewRequest(BaseModel):
-    """步骤1「生成配音」预合成请求（同步 HTTP，~2-3s）."""
-
-    voice_id: str = Field(..., min_length=1, max_length=128, description="音色 ID")
-    script_text: str = Field(..., min_length=1, max_length=5000, description="要合成的文案")
-    speed: float = Field(1.0, ge=0.5, le=2.0, description="语速（0.5-2.0），默认 1.0")
-    emotion: str = Field(
-        "neutral",
-        max_length=32,
-        description="情绪（英文枚举 neutral/happy/sad/angry/surprised/fearful/disgusted，或中文 中立/开心/难过/生气/惊讶/恐惧/厌恶；默认 neutral）",
-    )
-
-
-class AiAvatarTtsPreviewResponse(BaseModel):
-    """TTS 预合成响应（临时 URL，24h 内有效，足够当前会话使用）."""
-
-    audio_url: str = Field(..., description="CosyVoice 临时音频 URL")
-    duration: float = Field(..., ge=0, description="音频总时长（秒），ffprobe 测得")
-    sentence_timings: list[dict] = Field(..., description="句子级精确时间戳")
+    @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

apps/api/app/schemas/points.py

@@ -1,182 +0,0 @@
-"""积分 & 会员相关 Pydantic Schema (#1895)"""
-
-from __future__ import annotations
-
-from datetime import datetime
-from typing import Any, Optional
-
-from pydantic import BaseModel, Field
-
-# ============ 余额 & 账户 ============
-
-
-class PointsBalanceResponse(BaseModel):
-    """积分余额 + 会员状态"""
-
-    balance: int = Field(..., description="当前积分余额")
-    total_earned: int = Field(..., description="累计获得积分")
-    total_spent: int = Field(..., description="累计消耗积分")
-    is_member: bool = Field(default=False, description="是否付费会员")
-    member_type: Optional[str] = Field(None, description="会员类型: monthly/quarterly/yearly")
-    member_expires_at: Optional[datetime] = Field(None, description="会员到期时间")
-
-
-# ============ 流水 ============
-
-
-class PointsTransactionItem(BaseModel):
-    """单条积分流水"""
-
-    id: str
-    type: str = Field(..., description="类型: add/deduct")
-    source: str = Field(..., description="来源场景")
-    amount: int
-    balance_after: int
-    description: str = ""
-    ref_id: str = ""
-    created_at: Optional[str] = None
-
-
-class PointsTransactionsResponse(BaseModel):
-    """积分流水分页响应"""
-
-    items: list[PointsTransactionItem]
-    total: int
-    page: int
-    page_size: int
-
-
-# ============ 规则 & 积分包 ============
-
-
-class PointRuleItem(BaseModel):
-    """单条积分规则"""
-
-    scene_key: str
-    name: str
-    base_points: int
-    unit: str
-    extra_per_30s: Optional[int] = None
-
-
-class PointsRulesResponse(BaseModel):
-    """所有积分消耗规则"""
-
-    rules: list[PointRuleItem]
-    free_user_multiplier: float = Field(..., description="免费用户积分上浮系数")
-
-
-class PointsPackageItem(BaseModel):
-    """积分包信息"""
-
-    code: str
-    name: str
-    points: int
-    price_cents: int
-    unit_price: str = Field("", description="单价描述，如 ¥0.099/积分")
-
-
-class PointsPackagesResponse(BaseModel):
-    """可购买的积分包列表"""
-
-    packages: list[PointsPackageItem]
-    user_discount: Optional[float] = Field(None, description="当前用户折扣（会员）")
-
-
-# ============ 消费前检查 ============
-
-
-class PointsCheckRequest(BaseModel):
-    """消费前余额检查请求"""
-
-    scene_key: str
-    duration_minutes: Optional[float] = None
-    quantity: Optional[int] = 1
-
-
-class PointsCheckResponse(BaseModel):
-    """消费前余额检查响应"""
-
-    allowed: bool
-    required_points: int
-    current_balance: int
-    remaining_after: int
-    is_free_quota: bool = False
-
-
-# ============ 手动扣减 / 退还（内部接口） ============
-
-
-class PointsDeductRequest(BaseModel):
-    """积分扣减请求"""
-
-    scene_key: str
-    amount: int
-    description: Optional[str] = ""
-    ref_id: Optional[str] = ""
-
-
-class PointsRefundRequest(BaseModel):
-    """积分退还请求"""
-
-    transaction_id: str
-    reason: Optional[str] = ""
-
-
-class PointsRechargeRequest(BaseModel):
-    """积分充值请求"""
-
-    package_id: str = Field(..., description="积分包 code，如 starter_pack")
-
-
-# ============ 订单 ============
-
-
-class PointsOrderResponse(BaseModel):
-    """订单信息"""
-
-    id: str
-    order_type: str
-    product_code: str
-    amount_cents: int
-    status: str
-    created_at: Optional[str] = None
-
-
-# ============ 每日额度 ============
-
-
-class DailyUsageResponse(BaseModel):
-    """今日免费额度使用情况"""
-
-    free_clips_used: int
-    free_clips_limit: int
-    free_clips_remaining: int
-    reset_at: str
-
-
-# ============ 会员状态（聚合） ============
-
-
-class MembershipStatusResponse(BaseModel):
-    """当前用户会员状态（聚合信息）"""
-
-    is_member: bool
-    member_type: Optional[str] = None
-    member_expires_at: Optional[datetime] = None
-    points_balance: int
-    max_resolution: str = Field(
-        default="1080p",
-        description="可用最高分辨率: 720p(free) / 1080p(paid)",
-    )
-
-
-# ============ 通用响应 ============
-
-
-class SimpleMessageResponse(BaseModel):
-    """简单消息响应"""
-
-    success: bool
-    message: str
-    data: Optional[dict[str, Any]] = None

apps/api/app/schemas/script.py

@@ -3,7 +3,7 @@
 from __future__ import annotations
 
 from datetime import datetime
-from typing import Optional
+from typing import List, Optional
 
 from pydantic import BaseModel, Field
 
@@ -20,8 +20,8 @@ class ScriptResponse(BaseModel):
     user_id: str
     title: str
     content: str
-    segments: list[ScriptSegment] = Field(default_factory=list)
-    tags: list[str] = Field(default_factory=list)
+    segments: List[ScriptSegment] = Field(default_factory=list)
+    tags: List[str] = Field(default_factory=list)
     created_at: datetime
     updated_at: datetime
 
@@ -34,12 +34,12 @@ class ScriptListResponse(BaseModel):
 class CreateScriptRequest(BaseModel):
     title: str = Field(..., min_length=1, max_length=255)
     content: str = ""
-    segments: list[ScriptSegment] = Field(default_factory=list)
-    tags: list[str] = Field(default_factory=list)
+    segments: List[ScriptSegment] = Field(default_factory=list)
+    tags: List[str] = Field(default_factory=list)
 
 
 class UpdateScriptRequest(BaseModel):
     title: Optional[str] = Field(None, min_length=1, max_length=255)
     content: Optional[str] = None
-    segments: Optional[list[ScriptSegment]] = None
-    tags: Optional[list[str]] = None
+    segments: Optional[List[ScriptSegment]] = None
+    tags: Optional[List[str]] = None

apps/api/app/schemas/scripts_ai.py

@@ -1,60 +0,0 @@
-"""Scripts AI 能力 Pydantic schemas — Issue #1893.
-
-抖音文案提取、AI 改写、AI 标题生成的请求/响应模型。
-"""
-
-from __future__ import annotations
-
-from typing import List, Optional
-
-from pydantic import BaseModel, Field
-
-# ── 抖音文案提取 ─────────────────────────────────────────────────────────────
-
-
-class ExtractFromDouyinRequest(BaseModel):
-    """从抖音视频提取文案请求."""
-
-    url: str = Field(..., description="抖音视频链接（短链或长链）")
-
-
-class ExtractFromDouyinResponse(BaseModel):
-    """从抖音视频提取文案响应."""
-
-    text: str = Field(..., description="ASR 识别出的文案文本")
-    duration_seconds: float = Field(..., description="视频时长（秒）")
-    source_url: str = Field(..., description="原始视频链接")
-
-
-# ── AI 改写 ─────────────────────────────────────────────────────────────────
-
-
-class AiRewriteRequest(BaseModel):
-    """AI 文案改写请求."""
-
-    content: str = Field(..., description="原文内容")
-    style: Optional[str] = Field("口语化", description="改写风格，如 口语化/正式/活泼")
-
-
-class AiRewriteResponse(BaseModel):
-    """AI 文案改写响应."""
-
-    original: str = Field(..., description="原文")
-    rewritten: str = Field(..., description="改写后的文案")
-    style: str = Field(..., description="使用的改写风格")
-
-
-# ── AI 标题生成 ──────────────────────────────────────────────────────────────
-
-
-class AiGenerateTitlesRequest(BaseModel):
-    """AI 标题生成请求."""
-
-    content: str = Field(..., description="文案内容")
-    count: int = Field(3, ge=1, le=5, description="生成标题数量（1-5，默认3）")
-
-
-class AiGenerateTitlesResponse(BaseModel):
-    """AI 标题生成响应."""
-
-    titles: List[str] = Field(..., description="生成的标题列表")

apps/api/app/schemas/template.py

@@ -1,14 +1,9 @@
-"""Template API schemas（精简版：仅保留列表接口 + 默认模板自动兜底所需字段）.
-
-前端 PR#1911 删除 my-templates / editing-planner / templates 管理页后，
-模板 CRUD / 分类 / 标签 / 收藏 / 复制 / 校验 / 使用统计等端点全部下线，
-对应 Request/Response 模型也一并清理。
-"""
+"""Template API schemas."""
 
 from __future__ import annotations
 
 from datetime import datetime
-from typing import Any, Optional
+from typing import Any, Dict, List, Optional
 
 from pydantic import BaseModel, Field
 
@@ -42,12 +37,12 @@ class TemplateResponse(BaseModel):
     name: str
     mode: str
     category: str = ""
-    tags: list[str] = Field(default_factory=list)
-    title_config: dict[str, Any] = Field(default_factory=dict)
-    subtitle_config: dict[str, Any] = Field(default_factory=dict)
-    bgm_config: dict[str, Any] = Field(default_factory=dict)
+    tags: List[str] = Field(default_factory=list)
+    title_config: Dict[str, Any] = Field(default_factory=dict)
+    subtitle_config: Dict[str, Any] = Field(default_factory=dict)
+    bgm_config: Dict[str, Any] = Field(default_factory=dict)
     estimated_duration: float = 0.0
-    segments: list[SegmentResponse] = Field(default_factory=list)
+    segments: List[SegmentResponse] = Field(default_factory=list)
     is_active: bool = True
     is_favorite: bool = False
     usage_count: int = 0
@@ -55,29 +50,96 @@ class TemplateResponse(BaseModel):
     updated_at: datetime
 
 
+class ToggleFavoriteResponse(BaseModel):
+    id: str
+    is_favorite: bool
+
+
 class ListTemplatesResponse(BaseModel):
-    items: list[TemplateResponse]
+    items: List[TemplateResponse]
     total: int = 0
 
 
-# ── Template Request（保留给内部 _get_or_create_default_template_id 兜底创建默认模板使用）──
+# ── Template Request ──
 
 
 class CreateTemplateRequest(BaseModel):
     name: str
     mode: str
     category: str = ""
-    tags: list[str] = Field(default_factory=list)
-    title_config: dict[str, Any] = Field(default_factory=dict)
-    subtitle_config: dict[str, Any] = Field(default_factory=dict)
-    bgm_config: dict[str, Any] = Field(default_factory=dict)
+    tags: List[str] = Field(default_factory=list)
+    title_config: Dict[str, Any] = Field(default_factory=dict)
+    subtitle_config: Dict[str, Any] = Field(default_factory=dict)
+    bgm_config: Dict[str, Any] = Field(default_factory=dict)
     estimated_duration: float = 0.0
-    segments: list[SegmentRequest] = Field(default_factory=list)
+    segments: List[SegmentRequest] = Field(default_factory=list)
+
+
+class UpdateTemplateRequest(BaseModel):
+    name: Optional[str] = None
+    mode: Optional[str] = None
+    category: Optional[str] = None
+    tags: Optional[List[str]] = None
+    title_config: Optional[Dict[str, Any]] = None
+    subtitle_config: Optional[Dict[str, Any]] = None
+    bgm_config: Optional[Dict[str, Any]] = None
+    estimated_duration: Optional[float] = None
+    segments: Optional[List[SegmentRequest]] = None
+
+
+# ── Validate ──
+
+
+class ValidateTemplateRequest(BaseModel):
+    voiceover_duration: Optional[float] = None  # 配音实际时长（秒）
 
 
 class GenerateWarningResponse(BaseModel):
-    """兼容老 import（如校验逻辑内部复用）；模板管理页已下线，可按需进一步清理。"""
-
     code: str
     message: str
-    details: dict[str, Any] = Field(default_factory=dict)
+    details: Dict[str, Any] = Field(default_factory=dict)
+
+
+class ValidateTemplateResponse(BaseModel):
+    template: TemplateResponse
+    warnings: List[GenerateWarningResponse] = Field(default_factory=list)
+
+
+# ── Category ──
+
+
+class CategoryResponse(BaseModel):
+    id: str
+    user_id: str
+    name: str
+    created_at: datetime
+
+
+class CreateCategoryRequest(BaseModel):
+    name: str
+
+
+class ListCategoriesResponse(BaseModel):
+    items: List[CategoryResponse]
+
+
+# ── Copy Template ──
+
+
+class CopyTemplateRequest(BaseModel):
+    new_name: str
+
+
+# ── Tags ──
+
+
+class ListTagsResponse(BaseModel):
+    items: List[str]
+
+
+# ── Usage Stats ──
+
+
+class TemplateUsageResponse(BaseModel):
+    template_id: str
+    usage_count: int

apps/api/app/schemas/title_library.py

@@ -3,7 +3,7 @@
 from __future__ import annotations
 
 from datetime import datetime
-from typing import Optional
+from typing import List, Optional
 
 from pydantic import BaseModel, Field
 
@@ -15,7 +15,7 @@ class TitleLibraryItemResponse(BaseModel):
     text: str
     category: str = "default"
     description: str = ""
-    tags: list[str] = Field(default_factory=list)
+    tags: List[str] = Field(default_factory=list)
     usage_count: int = 0
     is_active: bool = True
     created_at: datetime
@@ -32,7 +32,7 @@ class CreateTitleLibraryRequest(BaseModel):
     text: str = Field(..., min_length=1, max_length=500)
     category: str = "default"
     description: str = ""
-    tags: list[str] = Field(default_factory=list)
+    tags: List[str] = Field(default_factory=list)
 
 
 class UpdateTitleLibraryRequest(BaseModel):
@@ -40,4 +40,4 @@ class UpdateTitleLibraryRequest(BaseModel):
     text: Optional[str] = Field(None, min_length=1, max_length=500)
     category: Optional[str] = None
     description: Optional[str] = None
-    tags: Optional[list[str]] = None
+    tags: Optional[List[str]] = None

apps/api/app/schemas/tts.py

@@ -3,7 +3,7 @@
 from __future__ import annotations
 
 from datetime import datetime
-from typing import Any, Optional
+from typing import Any, Dict, List, Optional
 
 from pydantic import BaseModel, Field
 
@@ -16,14 +16,10 @@ 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（中文/英文：自然/兴奋/沉稳/亲切/开心/悲伤/愤怒/惊讶/恐惧/厌恶 等；通过 instruction 自然语言指令控制）",
-    )
     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）")
-    metadata_: Optional[dict[str, Any]] = Field(default=None, alias="metadata", description="额外元数据")
+    metadata_: Optional[Dict[str, Any]] = Field(default=None, alias="metadata", description="额外元数据")
 
     class Config:
         populate_by_name = True
@@ -49,7 +45,7 @@ class TTSJobResponse(BaseModel):
     error_message: str = ""
     retry_count: int = 0
     max_retries: int = 3
-    metadata_: Optional[dict[str, Any]] = Field(default=None, alias="metadata", description="额外元数据")
+    metadata_: Optional[Dict[str, Any]] = Field(default=None, alias="metadata", description="额外元数据")
     started_at: Optional[datetime] = None
     completed_at: Optional[datetime] = None
     created_at: datetime
@@ -83,7 +79,7 @@ class TTSSynthesizeResponse(BaseModel):
 class ListTTSJobResponse(BaseModel):
     """TTS 任务列表响应。"""
 
-    items: list[TTSJobResponse]
+    items: List[TTSJobResponse]
     total: int
     page: int
     page_size: int
@@ -113,8 +109,6 @@ 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（中文/英文：自然/兴奋/沉稳/亲切/开心/悲伤/愤怒/惊讶/恐惧/厌恶 等）")
-    language: str = Field("zh-CN", description="语言（zh-CN/en-US 等）")
     pitch: float = Field(1.0, ge=0.5, le=2.0, description="音调（预留，当前未使用）")
 
 

apps/api/app/schemas/video_share.py

@@ -3,7 +3,7 @@
 from __future__ import annotations
 
 from datetime import datetime
-from typing import Optional
+from typing import List, Optional
 
 from pydantic import BaseModel, Field
 
@@ -61,7 +61,7 @@ class ShareResponse(BaseModel):
 class ShareListResponse(BaseModel):
     """分享列表响应."""
 
-    items: list[ShareResponse]
+    items: List[ShareResponse]
     total: int = 0
     skip: int = 0
     limit: int = 20

apps/api/app/schemas/voice.py

@@ -6,7 +6,7 @@
 from __future__ import annotations
 
 from datetime import datetime
-from typing import Literal, Optional
+from typing import List, Literal, Optional
 
 from pydantic import BaseModel, Field
 
@@ -56,7 +56,7 @@ class UnifiedVoiceItemResponse(BaseModel):
     status: str = "completed"
     """状态"""
 
-    tags: list[str] = Field(default_factory=list)
+    tags: List[str] = Field(default_factory=list)
     """标签列表"""
 
     # 克隆音色特有字段
@@ -113,7 +113,7 @@ class PresetVoiceItemResponse(BaseModel):
     preview_url: str = ""
     """预览音频 URL"""
 
-    tags: list[str] = Field(default_factory=list)
+    tags: List[str] = Field(default_factory=list)
     """标签列表"""
 
 

apps/api/app/schemas/voice_clone.py

@@ -3,7 +3,7 @@
 from __future__ import annotations
 
 from datetime import datetime
-from typing import Any, Optional
+from typing import Any, Dict, List, Optional
 
 from pydantic import BaseModel, Field
 
@@ -19,7 +19,7 @@ class CreateVoiceCloneRequest(BaseModel):
     language: str = Field("zh-CN", description="语言")
     gender: str = Field("unknown", description="性别")
     max_retries: int = Field(3, ge=1, le=10, description="最大重试次数")
-    metadata_: Optional[dict[str, Any]] = Field(default=None, alias="metadata", description="额外元数据")
+    metadata_: Optional[Dict[str, Any]] = Field(default=None, alias="metadata", description="额外元数据")
 
     class Config:
         populate_by_name = True
@@ -41,7 +41,7 @@ class VoiceCloneProfileResponse(BaseModel):
     error_message: str = ""
     retry_count: int = 0
     max_retries: int = 3
-    metadata_: Optional[dict[str, Any]] = Field(default=None, alias="metadata", description="额外元数据")
+    metadata_: Optional[Dict[str, Any]] = Field(default=None, alias="metadata", description="额外元数据")
     created_at: datetime
     updated_at: datetime
 
@@ -62,7 +62,7 @@ class VoiceCloneStatusResponse(BaseModel):
 class ListVoiceCloneResponse(BaseModel):
     """音色克隆列表响应。"""
 
-    items: list[VoiceCloneProfileResponse]
+    items: List[VoiceCloneProfileResponse]
     total: int
 
 

apps/api/app/schemas/voice_library.py

@@ -3,7 +3,7 @@
 from __future__ import annotations
 
 from datetime import datetime
-from typing import Optional
+from typing import List, Optional
 
 from pydantic import BaseModel, Field
 
@@ -21,7 +21,7 @@ class VoiceLibraryItemResponse(BaseModel):
     file_size: int = 0
     status: str = "completed"
     project_id: Optional[str] = None
-    tags: list[str] = Field(default_factory=list)
+    tags: List[str] = Field(default_factory=list)
     created_at: datetime
     updated_at: datetime
 
@@ -42,7 +42,7 @@ class CreateVoiceLibraryRequest(BaseModel):
     file_size: int = 0
     status: str = "completed"
     project_id: Optional[str] = None
-    tags: list[str] = Field(default_factory=list)
+    tags: List[str] = Field(default_factory=list)
 
 
 class UpdateVoiceLibraryRequest(BaseModel):
@@ -55,4 +55,4 @@ class UpdateVoiceLibraryRequest(BaseModel):
     duration: Optional[float] = None
     file_size: Optional[int] = None
     status: Optional[str] = None
-    tags: Optional[list[str]] = None
+    tags: Optional[List[str]] = None

apps/api/app/services/ai_avatar_cover_service.py

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

apps/api/app/services/ai_avatar_render_service.py

@@ -9,14 +9,11 @@
 
 from __future__ import annotations
 
-import base64
-import binascii
 import logging
 import os
-import subprocess
 import tempfile
 import uuid
-from datetime import UTC, datetime
+from datetime import datetime, timezone
 from typing import Any, Optional
 
 from sqlalchemy.orm import Session
@@ -27,9 +24,8 @@ from packages.adapters.sqlalchemy_impl.models import (
     ScriptModel,
 )
 from packages.domain.video_filter_builder import (
-    build_broll_overlay_filter,
+    build_cover_extract_command,
     build_title_drawtext_filter,
-    build_title_overlay_filter,
 )
 from packages.shared.storage import get_shared_storage_service
 
@@ -57,8 +53,8 @@ class AiAvatarRenderService:
         *,
         user_id: str,
         lipsync_job_id: str,
-        script_id: str = "",
-        b_roll_segments: list[dict[str, Any]] | None = None,
+        script_id: str,
+        b_roll_segments: list[dict[str, Any]],
         title_config: dict[str, Any],
         cover_config: dict[str, Any],
         project_id: str = "",
@@ -87,19 +83,17 @@ 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（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()
+        # 2. 验证文案归属
+        script = (
+            self.db.query(ScriptModel)
+            .filter(
+                ScriptModel.id == script_id,
+                ScriptModel.user_id == user_id,
             )
-            if script is None:
-                raise AiAvatarRenderError("文案不存在或无权访问", code="ScriptNotFound")
+            .first()
+        )
+        if script is None:
+            raise AiAvatarRenderError("文案不存在或无权访问", code="ScriptNotFound")
 
         # 3. 创建渲染任务
         job_id = str(uuid.uuid4())
@@ -109,7 +103,7 @@ 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 or [])],
+            b_roll_segments=[s if isinstance(s, dict) else s.model_dump() for s in b_roll_segments],
             title_config=title_config,
             cover_config=cover_config,
             status="pending",
@@ -117,7 +111,7 @@ class AiAvatarRenderService:
         self.db.add(job)
         self.db.flush()
 
-        job.submitted_at = datetime.now(UTC)
+        job.submitted_at = datetime.now(timezone.utc)
         self.db.commit()
         self.db.refresh(job)
         return job
@@ -164,7 +158,7 @@ class AiAvatarRenderService:
             return None
         if job.status in ("pending", "submitted"):
             job.status = "cancelled"
-            job.updated_at = datetime.now(UTC)
+            job.updated_at = datetime.now(timezone.utc)
             self.db.commit()
             self.db.refresh(job)
         return job
@@ -186,7 +180,7 @@ class AiAvatarRenderService:
         job.output_duration = 0.0
         job.started_at = None
         job.completed_at = None
-        job.updated_at = datetime.now(UTC)
+        job.updated_at = datetime.now(timezone.utc)
         self.db.commit()
         self.db.refresh(job)
         return job
@@ -200,8 +194,9 @@ 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. 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%)
+        4. 提取封面 (90%)
+        5. 上传到 OSS (95%)
+        6. 更新任务状态 (100%)
         """
         job = self.db.query(AiAvatarRenderJob).filter(AiAvatarRenderJob.id == job_id).first()
         if job is None:
@@ -215,9 +210,9 @@ class AiAvatarRenderService:
         try:
             # 更新状态为 processing
             job.status = "processing"
-            job.started_at = datetime.now(UTC)
+            job.started_at = datetime.now(timezone.utc)
             job.progress = 5
-            job.updated_at = datetime.now(UTC)
+            job.updated_at = datetime.now(timezone.utc)
             self.db.commit()
 
             # 获取对口型任务信息
@@ -231,32 +226,27 @@ class AiAvatarRenderService:
             self.db.commit()
 
             # 2. 构建 FFmpeg 滤镜链 (40%)
-            # 用 ffprobe 探测输入视频分辨率，确保 B-roll 缩放与标题位置与实际输出一致。
-            # AI 数字人对口型输出为 9:16 竖屏，默认兜底 720x1280；探测失败时使用默认值不阻断渲染。
-            output_width, output_height = self._probe_video_resolution(input_video_path)
-            if output_width <= 0 or output_height <= 0:
-                output_width, output_height = 720, 1280
-                logger.info(
-                    "[数字人渲染] ffprobe 探测分辨率失败或无效，使用默认竖屏尺寸 %sx%s",
-                    output_width,
-                    output_height,
-                )
-            else:
-                logger.info("[数字人渲染] 探测输入视频分辨率: %sx%s", output_width, output_height)
+            from packages.domain.video_filter_builder import build_broll_overlay_filter
 
-            broll_filter, broll_label = build_broll_overlay_filter(
+            filter_complex = build_broll_overlay_filter(
                 b_roll_segments=job.b_roll_segments,
                 video_duration=lipsync_job.output_duration,
-                output_width=output_width,
-                output_height=output_height,
             )
 
-            # 标题叠加路径：优先前端 Canvas 渲染的 PNG 图层（所见即所得），
-            # 无 title_image_dataurl 时降级到 drawtext 重画文字。
-            title_cfg = job.title_config if isinstance(job.title_config, dict) else {}
-            title_dataurl = (title_cfg or {}).get("title_image_dataurl") if title_cfg else None
-            use_title_png = isinstance(title_dataurl, str) and title_dataurl.startswith("data:image/")
-            title_input_index = 1 + len(job.b_roll_segments or []) if use_title_png else None
+            # 标题叠加
+            title_filter = build_title_drawtext_filter(job.title_config)
+            if title_filter:
+                if filter_complex:
+                    filter_complex += f"[vout]{title_filter}[vout_titled];"
+                else:
+                    filter_complex = f"[0:v]{title_filter}[vout_titled];"
+
+            # 清理末尾分号
+            if filter_complex.endswith(";"):
+                filter_complex = filter_complex[:-1]
+
+            # 最终输出标签
+            final_label = "vout_titled" if title_filter else ("vout" if filter_complex else None)
 
             job.progress = 40
             self.db.commit()
@@ -265,126 +255,42 @@ class AiAvatarRenderService:
             with tempfile.TemporaryDirectory() as tmpdir:
                 output_video_path = os.path.join(tmpdir, "output.mp4")
 
-                # 在临时目录里解码保存标题 PNG（with 退出自动清理）
-                title_png_path: Optional[str] = None
-                extra_inputs: list[str] = []
-                title_filter = None
-                if use_title_png:
-                    try:
-                        title_png_path = os.path.join(tmpdir, f"title_{job.id}.png")
-                        self._save_title_dataurl_to_file(title_dataurl, dst_path=title_png_path)
-                        extra_inputs.append(title_png_path)
-                        logger.info(
-                            "[数字人渲染] 标题 PNG 已保存: %s (input index %d)", title_png_path, title_input_index
-                        )
-                    except Exception as exc:
-                        logger.warning("[数字人渲染] 标题 PNG 解码/保存失败，降级 drawtext: %s", exc)
-                        title_png_path = None
-                        extra_inputs = []
-
-                # 构建标题滤镜
-                final_label = None
-                if title_png_path and title_input_index is not None:
-                    title_input_label = f"[{title_input_index}:v]"
-                    base_label = f"[{broll_label}]" if broll_label else "[0:v]"
-                    title_filter = build_title_overlay_filter(
-                        title_cfg,
-                        output_width=output_width,
-                        output_height=output_height,
-                        title_png_path=title_png_path,
-                        title_input_label=title_input_label,
-                        base_label=base_label,
-                        output_label="vout_titled",
-                    )
-                    if not title_filter:
-                        # build 返回 None → 文件不存在（极端并发情况），降级 drawtext
-                        title_png_path = None
-                        extra_inputs = []
-
-                if title_png_path:
-                    # overlay 路径
-                    if broll_filter and title_filter:
-                        filter_complex = broll_filter + f";{title_filter}"
-                    elif broll_filter:
-                        filter_complex = broll_filter
-                        final_label = broll_label
-                    elif title_filter:
-                        filter_complex = title_filter
-                    else:
-                        filter_complex = ""
-                    if title_filter:
-                        final_label = "vout_titled"
-                    elif not final_label:
-                        final_label = None
-                else:
-                    # 降级：drawtext 重画文字
-                    title_filter = build_title_drawtext_filter(
-                        title_cfg,
-                        output_width=output_width,
-                        output_height=output_height,
-                    )
-                    if broll_filter and title_filter:
-                        filter_complex = broll_filter + f";[{broll_label}]{title_filter}[vout_titled]"
-                        final_label = "vout_titled"
-                    elif broll_filter:
-                        filter_complex = broll_filter
-                        final_label = broll_label
-                    elif title_filter:
-                        filter_complex = f"[0:v]{title_filter}[vout_titled]"
-                        final_label = "vout_titled"
-                    else:
-                        filter_complex = ""
-                        final_label = None
-
-                cmd_list = self._build_ffmpeg_command(
+                cmd = self._build_ffmpeg_command(
                     input_video=input_video_path,
                     b_roll_segments=job.b_roll_segments,
-                    extra_inputs=extra_inputs,
                     filter_complex=filter_complex,
                     final_label=final_label,
                     output_path=output_video_path,
                 )
 
-                try:
-                    render_result = subprocess.run(
-                        cmd_list,
-                        capture_output=True,
-                        text=True,
-                        timeout=600,
-                    )
-                except subprocess.TimeoutExpired as exc:
-                    raise AiAvatarRenderError(
-                        "FFmpeg 渲染超时（600s）",
-                        code="FFmpegTimeout",
-                    ) from exc
-
-                if render_result.returncode != 0:
-                    stderr_tail = (render_result.stderr or "").strip()[-800:]
-                    raise AiAvatarRenderError(
-                        f"FFmpeg 渲染失败，退出码: {render_result.returncode}, stderr: {stderr_tail}",
-                        code="FFmpegFailed",
-                    )
+                exit_code = os.system(cmd)
+                if exit_code != 0:
+                    raise AiAvatarRenderError(f"FFmpeg 渲染失败，退出码: {exit_code}", code="FFmpegFailed")
 
                 job.progress = 80
                 self.db.commit()
 
-                # 4/5. 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。
+                # 4. 提取封面 (90%)
+                cover_path = ""
+                if job.cover_config:
+                    cover_path = os.path.join(tmpdir, "cover.jpg")
+                    cover_cmd = build_cover_extract_command(job.cover_config, cover_path)
+                    cover_cmd = cover_cmd.replace("INPUT_VIDEO", output_video_path)
+                    cover_exit = os.system(cover_cmd)
+                    if cover_exit != 0:
+                        logger.warning("封面提取失败，跳过: %s", cover_cmd)
+                        cover_path = ""
+
+                job.progress = 90
+                self.db.commit()
+
+                # 5. 上传到 OSS (95%)
                 output_video_url = self._upload_to_oss(output_video_path, f"ai-avatar/{job_id}/output.mp4")
                 job.output_video_url = output_video_url
 
-                # 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)
+                if cover_path:
+                    output_cover_url = self._upload_to_oss(cover_path, f"ai-avatar/{job_id}/cover.jpg")
+                    job.output_cover_url = output_cover_url
 
                 # 获取输出视频时长
                 job.output_duration = lipsync_job.output_duration
@@ -394,110 +300,23 @@ class AiAvatarRenderService:
             # 6. 完成
             job.status = "completed"
             job.progress = 100
-            job.completed_at = datetime.now(UTC)
-            job.updated_at = datetime.now(UTC)
+            job.completed_at = datetime.now(timezone.utc)
+            job.updated_at = datetime.now(timezone.utc)
             self.db.commit()
             logger.info("渲染任务完成: %s", job_id)
 
-            # 7. 渲染完成，停留在「待选封面」状态：不自动入库。
-            #    用户在前端选好封面、点「完成」后，由 /{job_id}/finalize 接口显式入库。
-            logger.info("渲染任务完成，等待用户选择封面后入库: job_id=%s", job_id)
-
         except AiAvatarRenderError as exc:
             job.status = "failed"
             job.error_message = str(exc)
-            job.updated_at = datetime.now(UTC)
+            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(UTC)
+            job.updated_at = datetime.now(timezone.utc)
             self.db.commit()
             logger.exception("渲染任务异常 [%s]", job_id)
-            raise
-
-    def _persist_to_library(self, job: AiAvatarRenderJob, cover_url: Optional[str] = None):
-        """将渲染结果写入成片库，返回 GeneratedVideo 领域对象.
-
-        Args:
-            job: 渲染任务（必须 status=completed 且 output_video_url 非空）
-            cover_url: 可选的封面 URL 覆盖（finalize 时传入即优先使用，否则取 job.output_cover_url）
-        """
-        from packages.adapters.sqlalchemy_impl.generated_video_repository import (
-            SQLAlchemyGeneratedVideoRepository,
-        )
-        from packages.domain.generated_video import GeneratedVideo
-
-        clip_name = f"AI数字人_{job.id[:8]}"
-        # AI数字人入口是独立页面，前端可能不传 project_id（无项目概念），
-        # 兜底为 "ai_avatar" 避免 DB 非空约束/查询问题；generation_task_id 用 render_job_id 便于反查。
-        clip_project_id = (job.project_id or "").strip() or "ai_avatar"
-        clip_generation_task_id = job.id
-        effective_cover = (cover_url or "").strip() if cover_url else (job.output_cover_url or "").strip()
-        clip = GeneratedVideo.create(
-            project_id=clip_project_id,
-            generation_task_id=clip_generation_task_id,
-            name=clip_name,
-            file_url=job.output_video_url,
-            user_id=job.user_id,
-            duration=job.output_duration or 0.0,
-            thumbnail_url=effective_cover or None,
-            generation_params={
-                "source": "ai_avatar_render",
-                "render_job_id": job.id,
-            },
-        )
-        video_repo = SQLAlchemyGeneratedVideoRepository(self.db)
-        video_repo.create(clip)
-        logger.info("[数字人渲染] 成片已入库: clip_id=%s render_job=%s", clip.id, job.id)
-        return clip
-
-    def finalize_job(self, job_id: str, user_id: str, cover_url: Optional[str] = None):
-        """用户在前端点「完成」后调用：将已 completed 的渲染任务正式入库到成片库.
-
-        - 必须 status=completed 才可调用
-        - cover_url 若传入则优先使用并回写 job.output_cover_url；否则使用 job.output_cover_url（smart-cover/custom-cover 已写入）
-        - 幂等：已入库则返回已存在的 GeneratedVideo
-        """
-        from packages.adapters.sqlalchemy_impl.generated_video_repository import (
-            SQLAlchemyGeneratedVideoRepository,
-        )
-        from packages.adapters.sqlalchemy_impl.models import GeneratedVideoModel
-
-        job = self.get_render_job(job_id, user_id)
-        if job is None:
-            raise AiAvatarRenderError("渲染任务不存在", code="RenderJobNotFound")
-        if job.status != "completed":
-            raise AiAvatarRenderError(f"渲染任务未完成（当前状态: {job.status}），无法入库", code="RenderNotCompleted")
-        if not (job.output_video_url or "").strip():
-            raise AiAvatarRenderError("渲染成片视频 URL 为空，无法入库", code="OutputVideoMissing")
-
-        # 幂等检查：已入库直接返回现有记录（通过 generation_task_id=job_id 识别，
-        # 因为入库时 generation_task_id 被设置为 render_job_id 自身）
-        existing = (
-            self.db.query(GeneratedVideoModel)
-            .filter(
-                GeneratedVideoModel.user_id == user_id,
-                GeneratedVideoModel.generation_task_id == job_id,
-            )
-            .first()
-        )
-        if existing is not None:
-            logger.info("[数字人渲染] finalize 幂等命中，返回已存在记录: clip_id=%s job_id=%s", existing.id, job_id)
-            return SQLAlchemyGeneratedVideoRepository(self.db).get(existing.id)
-
-        # 传入 cover_url 时回写到 job
-        if cover_url and cover_url.strip():
-            job.output_cover_url = cover_url.strip()
-            # 同步更新 cover_config，保持 smart-cover 路径一致
-            if isinstance(job.cover_config, dict):
-                job.cover_config = {**job.cover_config, "mode": "auto_frame", "url": cover_url.strip()}
-            job.updated_at = datetime.now(UTC)
-            self.db.commit()
-
-        return self._persist_to_library(job, cover_url=cover_url)
 
     def _download_video(self, url: str) -> str:
         """下载视频到临时文件."""
@@ -515,132 +334,32 @@ 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,
-    ) -> 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]
+    ) -> str:
+        """构建 FFmpeg 命令."""
+        # 输入文件
+        inputs = f"-i {input_video}"
         for seg in b_roll_segments:
             asset_url = seg.get("asset_url", "")
             if asset_url:
-                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])
+                inputs += f" -i {asset_url}"
 
+        # 滤镜
         if filter_complex and final_label:
-            cmd.extend(
-                [
-                    "-filter_complex",
-                    filter_complex,
-                    "-map",
-                    f"[{final_label}]",
-                    "-map",
-                    "0:a?",
-                ]
-            )
+            filter_arg = f'-filter_complex "{filter_complex}" -map "[{final_label}]"'
         elif filter_complex:
-            cmd.extend(["-filter_complex", filter_complex])
+            filter_arg = f'-filter_complex "{filter_complex}"'
+        else:
+            filter_arg = ""
 
-        cmd.extend(
-            [
-                "-c:v",
-                "libx264",
-                "-preset",
-                "veryfast",
-                "-crf",
-                "23",
-                "-c:a",
-                "aac",
-                "-b:a",
-                "128k",
-                "-y",
-                output_path,
-            ]
-        )
-        return cmd
+        return f"ffmpeg {inputs} {filter_arg} -c:v libx264 -preset fast -crf 23 -y {output_path}"
 
     def _upload_to_oss(self, local_path: str, oss_key: str) -> str:
         """上传文件到 OSS，返回 URL.

apps/api/app/services/ai_service.py

@@ -13,7 +13,7 @@
 from __future__ import annotations
 
 import logging
-from typing import Any, Optional
+from typing import Any, Dict, List, Optional
 
 from packages.domain.ai_parsing import generate_titles_fallback as _generate_titles_fallback_base
 from packages.domain.ai_parsing import keyword_match_fallback as _semantic_match_fallback_base
@@ -64,7 +64,7 @@ def _generate_titles_fallback(
     description: str,
     style: str = "viral",
     count: int = 5,
-) -> list[str]:
+) -> List[str]:
     """本地降级：基于模板规则生成标题（薄包装，转发到 ai_parsing 模块）."""
     style_info = TITLE_STYLES.get(style, TITLE_STYLES["viral"])
     return _generate_titles_fallback_base(description, style_info, count)
@@ -74,7 +74,7 @@ def generate_smart_titles(
     description: str,
     style: str = "viral",
     count: int = 5,
-) -> dict[str, Any]:
+) -> Dict[str, Any]:
     """生成智能标题.
 
     Args:
@@ -164,16 +164,16 @@ def generate_smart_titles(
 
 def _semantic_match_fallback(
     description: str,
-    assets: list[dict[str, Any]],
-) -> list[dict[str, Any]]:
+    assets: List[Dict[str, Any]],
+) -> List[Dict[str, Any]]:
     """本地降级：基于关键词的简单匹配（薄包装，转发到 ai_parsing 模块）."""
     return _semantic_match_fallback_base(description, assets)
 
 
 def _parse_semantic_match_response(
     content: str,
-    asset_ids: list[str],
-) -> Optional[dict[str, float]]:
+    asset_ids: List[str],
+) -> Optional[Dict[str, float]]:
     """从模型返回中解析素材匹配度（薄包装，转发到 ai_parsing 模块）."""
     result = _parse_semantic_match_base(content, asset_ids)
     if result is None:
@@ -183,9 +183,9 @@ def _parse_semantic_match_response(
 
 def semantic_match_assets(
     description: str,
-    assets: list[dict[str, Any]],
+    assets: List[Dict[str, Any]],
     top_k: int = 0,
-) -> dict[str, Any]:
+) -> Dict[str, Any]:
     """智能素材语义匹配.
 
     根据用户描述，评估每个素材的语义匹配度并排序。
@@ -336,13 +336,13 @@ class AIService:
         description: str,
         style: str = "viral",
         count: int = 5,
-    ) -> dict[str, Any]:
+    ) -> Dict[str, Any]:
         return generate_smart_titles(description, style, count)
 
     def semantic_match(
         self,
         description: str,
-        assets: list[dict[str, Any]],
+        assets: List[Dict[str, Any]],
         top_k: int = 0,
-    ) -> dict[str, Any]:
+    ) -> Dict[str, Any]:
         return semantic_match_assets(description, assets, top_k)

apps/api/app/services/asset_segment_tracker.py

@@ -28,8 +28,8 @@ from __future__ import annotations
 
 import json
 import logging
-from collections.abc import Callable
-from datetime import UTC, datetime
+from datetime import datetime, timezone
+from typing import Callable
 
 from sqlalchemy.orm import Session
 
@@ -57,7 +57,7 @@ _REUSE_OVERLAP_RATIO = 0.6
 
 
 def _now_iso() -> str:
-    return datetime.now(UTC).isoformat()
+    return datetime.now(timezone.utc).isoformat()
 
 
 def _read_meta(model) -> dict:
@@ -156,7 +156,7 @@ def record_used_segments(
             r["plan_id"] = plan_id
             meta[USED_RANGES_KEY] = ranges
             model.classification_result = json.dumps(meta, ensure_ascii=False)
-            model.updated_at = datetime.now(UTC)
+            model.updated_at = datetime.now(timezone.utc)
             return
 
     ranges.append(
@@ -171,7 +171,7 @@ def record_used_segments(
     )
     meta[USED_RANGES_KEY] = ranges
     model.classification_result = json.dumps(meta, ensure_ascii=False)
-    model.updated_at = datetime.now(UTC)
+    model.updated_at = datetime.now(timezone.utc)
 
 
 def remove_used_segment(
@@ -215,7 +215,7 @@ def remove_used_segment(
     if removed:
         meta[USED_RANGES_KEY] = remaining
         model.classification_result = json.dumps(meta, ensure_ascii=False)
-        model.updated_at = datetime.now(UTC)
+        model.updated_at = datetime.now(timezone.utc)
     return removed
 
 
@@ -231,7 +231,7 @@ def reset_used_segments(db: Session, asset_id: str) -> None:
     if meta.get(USED_RANGES_KEY):
         meta[USED_RANGES_KEY] = []
         model.classification_result = json.dumps(meta, ensure_ascii=False)
-        model.updated_at = datetime.now(UTC)
+        model.updated_at = datetime.now(timezone.utc)
         logger.info("[片段追踪] 素材区间记录手动清空: asset_id=%s", asset_id)
 
 

apps/api/app/services/edit_plan_service.py

@@ -7,7 +7,7 @@
 from __future__ import annotations
 
 import logging
-from typing import Any, Optional
+from typing import Any, Dict, List, Optional
 
 from app.services.asset_segment_tracker import (
     REUSE_RATIO_LIMIT,
@@ -206,7 +206,7 @@ class EditPlanService:
         status: Optional[EditPlanClipStatus] = None,
         skip: int = 0,
         limit: int = 100,
-    ) -> list[EditPlanClip]:
+    ) -> List[EditPlanClip]:
         """列出计划的片段"""
         # 确保计划存在
         self.get_plan_or_raise(plan_id)
@@ -473,7 +473,6 @@ class EditPlanService:
         name_suffix: str = "变体",
         voice_duration: float = 0.0,
         rng=None,
-        batch_segments: dict[str, list[tuple[float, float]]] | None = None,
     ) -> EditPlan:
         """为批量变体生成独立 plan：完整重跑单视频选片流程（#1743）。
 
@@ -490,8 +489,6 @@ class EditPlanService:
             created_by_user_id: 新 plan 归属用户。
             name_suffix: plan 名后缀。
             rng: 可选随机数（测试注入种子）。
-            batch_segments: 可选，外部传入的批次内已使用素材区间（前序变体避让用）。
-                传入时作为初始避让对象；未传则保持原逻辑从源 plan clips 自建（向后兼容）。
 
         Raises:
             ValueError: 源 plan 不存在/无片段、素材池为空或时长全未知。
@@ -503,7 +500,7 @@ class EditPlanService:
         source = self.get_plan_or_raise(source_plan_id)
 
         # 分页读取源 plan 全部片段
-        clips: list[EditPlanClip] = []
+        clips: List[EditPlanClip] = []
         skip, page = 0, 500
         while True:
             batch = self._clip_repo.list_by_plan(source_plan_id, skip=skip, limit=page)
@@ -540,26 +537,16 @@ class EditPlanService:
             voice = float(voice_duration or 0.0)
         except (TypeError, ValueError):
             voice = 0.0
-        rhythm_template_for_reselect = None
-        if source.config:
-            rhythm_template_for_reselect = source.config.get("rhythm_template")
-
         if voice > 0 and source_clips_data:
             from packages.domain.voice_duration_planner import plan_clip_durations
 
             _effects: list[str | None] = [c.get("transition_effect") for c in source_clips_data]
             _tdurs: list[float] = [float(c.get("transition_duration") or 0.0) for c in source_clips_data]
-            # #1855 P0：先占位durations为空dict，真正查durations在后面pool_ids确定后执行；
-            # plan_clip_durations 的 asset_durations 参数在该函数中仅作最大段长钳制，
-            # 这里先不依赖它（durations 还没查），传 None 让planner用默认策略；
-            # 真正的asset_durations会在后面 clips_data 生成时传入 reselect_clips_for_variant
             target_durations = plan_clip_durations(
                 len(source_clips_data),
                 voice,
                 transition_effects=_effects,
                 transition_durations=_tdurs,
-                rhythm_template=rhythm_template_for_reselect,
-                asset_durations=None,
             )
             if target_durations:
                 for _c, _d in zip(source_clips_data, target_durations, strict=False):
@@ -595,18 +582,12 @@ class EditPlanService:
             created_by_user_id=created_by_user_id or (source.created_by_user_id or ""),
         )
 
-        # 批次内区间：外部传入时使用外部传入（含前序变体已用区间）；
-        # 否则保持原逻辑从源 plan clips 自建（向后兼容）
-        if batch_segments is not None:
-            batch_segments_resolved: dict[str, list[tuple[float, float]]] = {
-                k: list(v) for k, v in batch_segments.items()
-            }
-        else:
-            batch_segments_resolved = {}
-            for c in clips:
-                if c.asset_id and float(c.duration or 0) > 0:
-                    st = float(c.start_time or 0.0)
-                    batch_segments_resolved.setdefault(c.asset_id, []).append((st, st + float(c.duration)))
+        # 批次内区间：以源 plan（变体 0）片段为初始避让对象
+        batch_segments: dict[str, list[tuple[float, float]]] = {}
+        for c in clips:
+            if c.asset_id and float(c.duration or 0) > 0:
+                st = float(c.start_time or 0.0)
+                batch_segments.setdefault(c.asset_id, []).append((st, st + float(c.duration)))
 
         clips_data = reselect_clips_for_variant(
             source_clips_data,
@@ -614,7 +595,7 @@ class EditPlanService:
             asset_durations=durations,
             asset_scene_points=scene_points,
             historical_used_segments=historical,
-            batch_segments=batch_segments_resolved,
+            batch_segments=batch_segments,
             target_durations=target_durations,
             rng=rng,
         )
@@ -665,7 +646,7 @@ class EditPlanService:
         source = self.get_plan_or_raise(source_plan_id)
 
         # 分页读取源 plan 全部片段
-        clips: list[EditPlanClip] = []
+        clips: List[EditPlanClip] = []
         skip, page = 0, 500
         while True:
             batch = self._clip_repo.list_by_plan(source_plan_id, skip=skip, limit=page)
@@ -786,18 +767,7 @@ class EditPlanService:
         if plan is None:
             return None
 
-        # #1855 P0：幂等判断——如果已成功分配过且当前 total_duration 已接近 voice_duration，直接返回
-        try:
-            existing_mark = None
-            if plan.config:
-                existing_mark = plan.config.get("voice_duration_applied")
-            cur_total = float(plan.total_duration or 0.0)
-            if existing_mark is not None and abs(existing_mark - voice) < 1e-6 and abs(cur_total - voice) < 0.5:
-                return plan
-        except Exception:
-            pass
-
-        clips: list[EditPlanClip] = []
+        clips: List[EditPlanClip] = []
         skip, page = 0, 500
         while True:
             batch = self._clip_repo.list_by_plan(plan_id, skip=skip, limit=page)
@@ -868,10 +838,6 @@ class EditPlanService:
         )
         try:
             plan.total_duration = net
-            # #1855 P0：写入幂等标记，避免二次调用时只重分配 duration 不重算 start_time
-            new_cfg = dict(plan.config or {})
-            new_cfg["voice_duration_applied"] = voice
-            plan.config = new_cfg
             db = self._clip_repo.session
             db.commit()
         except Exception:
@@ -912,69 +878,6 @@ class EditPlanService:
         rng = rng or _random.Random()
         plan_ids: list[str] = []
 
-        # #1855 P0：先确定片段数 clip_count（用于节奏模板生成长度匹配）
-        from packages.domain.bgm_pool import allocate_bgm_pool_for_variants
-        from packages.domain.variant_plan_selector import (
-            generate_pixel_perturbation,
-            generate_visual_perturbation,
-        )
-        from packages.domain.voice_duration_planner import RHYTHM_TEMPLATES, adapt_template_length
-
-        clip_count = 0
-        # 从源 plan 获取片段数（分页读，避免关系加载问题）
-        _sclips: list = []
-        _sk, _pg = 0, 500
-        while True:
-            _b = self._clip_repo.list_by_plan(source_plan_id, skip=_sk, limit=_pg)
-            if not _b:
-                break
-            _sclips.extend(_b)
-            if len(_b) < _pg:
-                break
-            _sk += _pg
-        clip_count = len(_sclips)
-
-        # 预先生成所有 N 个变体的节奏模板/BGM/扰动参数（时机提前到选片前写入config）
-        rhythm_templates_for_variants: list = []
-        for _idx in range(count):
-            if clip_count > 0:
-                variant_seed = rng.randint(0, 999999)
-                _tpl = adapt_template_length(RHYTHM_TEMPLATES[variant_seed % len(RHYTHM_TEMPLATES)], clip_count)
-                rhythm_templates_for_variants.append(_tpl)
-            else:
-                rhythm_templates_for_variants.append(None)
-
-        source_bgm_config: dict = {}
-        source_plan = self.get_plan(source_plan_id)
-        if source_plan and source_plan.config:
-            source_bgm_config = source_plan.config.get("bgm", {}) or {}
-        variant_seeds_for_bgm = [rng.randint(0, 999999) for _ in range(count)]
-        bgm_pool_assignments = allocate_bgm_pool_for_variants(source_bgm_config, variant_seeds_for_bgm)
-
-        def _build_variant_config_update(idx: int) -> dict:
-            """构建单个变体的 config 更新（节奏模板/BGM/视觉/像素扰动）。"""
-            upd: dict = {}
-            try:
-                perturbation = generate_visual_perturbation(rng)
-                if idx == 0:
-                    perturbation["hflip"] = False
-                upd["visual_perturbation"] = perturbation
-            except Exception:
-                logger.exception("变体 %d 视觉扰动生成失败（不阻断）", idx)
-            try:
-                pixel_pert = generate_pixel_perturbation(rng)
-                upd["pixel_perturbation"] = pixel_pert
-            except Exception:
-                logger.exception("变体 %d 像素扰动生成失败（不阻断）", idx)
-            rt = rhythm_templates_for_variants[idx] if idx < len(rhythm_templates_for_variants) else None
-            if rt is not None:
-                upd["rhythm_template"] = rt
-            if idx < len(bgm_pool_assignments):
-                existing_bgm = dict((source_plan.config or {}).get("bgm", {}) or {})
-                existing_bgm.update(bgm_pool_assignments[idx])
-                upd["bgm"] = existing_bgm
-            return upd
-
         # 变体 0：clone（片段结构同源 plan，起点重算），不污染源 plan
         plan0 = self.clone_plan_for_variant(
             source_plan_id,
@@ -987,15 +890,6 @@ class EditPlanService:
                 v0_voice = float(voice_durations[0] or 0.0)
             except (TypeError, ValueError):
                 v0_voice = 0.0
-
-        # #1855 P0：在配音分配前先写入变体0的节奏模板/扰动/BGM，确保 apply_voice_duration_to_plan 能读到 rhythm_template
-        try:
-            _cfg0 = _build_variant_config_update(0)
-            if _cfg0:
-                self.update_plan_config(plan0.id, _cfg0)
-        except Exception:
-            logger.exception("变体0 配置写入失败（不阻断）: plan=%s", plan0.id)
-
         if v0_voice > 0:
             try:
                 self.apply_voice_duration_to_plan(plan0.id, v0_voice)
@@ -1003,12 +897,7 @@ class EditPlanService:
                 logger.exception("变体0 配音分配失败（不阻断）: plan=%s", plan0.id)
         plan_ids.append(plan0.id)
 
-        # #1855 P0：批次内素材区间避让表——从变体0实际落库的clips构建初始值（公共函数）
-        from app.services.generation_common import collect_plan_segments as _collect_plan_segments
-
-        batch_segments_acc: dict[str, list[tuple[float, float]]] = _collect_plan_segments(plan0.id, self._clip_repo)
-
-        # 变体 1..N-1：独立选片（传入累积的 batch_segments 做区间避让）
+        # 变体 1..N-1：独立选片
         for i in range(1, count):
             voice = 0.0
             if voice_durations and i < len(voice_durations):
@@ -1016,14 +905,6 @@ class EditPlanService:
                     voice = float(voice_durations[i] or 0.0)
                 except (TypeError, ValueError):
                     voice = 0.0
-
-            # #1855 P0：在reselect前先为"变体i"准备配置更新——但reselect内部复制的是source.config，
-            # 所以每个变体独立的节奏模板需要在reselect后单独写入config；
-            # 但 plan_clip_durations 用的是 source.config.rhythm_template（即源plan的节奏模板），
-            # 为了让每个变体在选片阶段就使用自己的节奏模板分配段长，这里采用：
-            #   - reselect 仍使用源 plan 的 rhythm_template（保持片段骨架一致）
-            #   - 选片完成后立即写入该变体自己的 rhythm_template/扰动/BGM 到config，
-            #     后续不再二次 apply_voice_duration_to_plan（由幂等标记跳过）
             variant = self.reselect_plan_for_variant(
                 source_plan_id,
                 candidate_asset_ids,
@@ -1031,26 +912,73 @@ class EditPlanService:
                 name_suffix=f"变体{i + 1}",
                 voice_duration=voice,
                 rng=rng,
-                batch_segments=batch_segments_acc,
             )
-
-            # 选片完成后写入该变体的独立配置（节奏模板/扰动/BGM）
-            try:
-                _cfgi = _build_variant_config_update(i)
-                if _cfgi:
-                    self.update_plan_config(variant.id, _cfgi)
-            except Exception:
-                logger.exception("变体 %d 配置写入失败（不阻断）: plan=%s", i, variant.id)
-
             plan_ids.append(variant.id)
 
-            # #1855 P0：把当前新变体的 clips 区间追加到 batch_segments，供下一变体避让
+        # #1764：为每个变体生成独立节奏模板（让批量视频片段时长分布不同）
+        from packages.domain.voice_duration_planner import RHYTHM_TEMPLATES, adapt_template_length
+
+        clip_count = 0
+        if voice_durations and len(voice_durations) > 0:
+            # 从源 plan 获取片段数
+            source_plan = self.get_plan(source_plan_id)
+            if source_plan and hasattr(source_plan, "clips"):
+                clip_count = len(list(source_plan.clips)) if source_plan.clips else 0
+
+        rhythm_templates_for_variants = []
+        if clip_count > 0:
+            for idx in range(len(plan_ids)):
+                # 每个变体用不同的 seed 选择节奏模板
+                variant_seed = rng.randint(0, 999999)
+                template = adapt_template_length(RHYTHM_TEMPLATES[variant_seed % len(RHYTHM_TEMPLATES)], clip_count)
+                rhythm_templates_for_variants.append(template)
+                logger.info("变体 %d 节奏模板: plan=%s template=%s", idx, plan_ids[idx], template)
+
+        # #1767：BGM 池差异化分配（让批量变体使用不同 BGM / 段落 / 音量）
+        from packages.domain.bgm_pool import allocate_bgm_pool_for_variants
+
+        source_bgm_config = {}
+        source_plan = self.get_plan(source_plan_id)
+        if source_plan and source_plan.config:
+            source_bgm_config = source_plan.config.get("bgm", {}) or {}
+
+        variant_seeds_for_bgm = [rng.randint(0, 999999) for _ in plan_ids]
+        bgm_pool_assignments = allocate_bgm_pool_for_variants(source_bgm_config, variant_seeds_for_bgm)
+
+        # 为每个变体生成独立视觉扰动参数（让批量视频画面本身更不同）
+        from packages.domain.variant_plan_selector import generate_visual_perturbation
+
+        for idx, pid in enumerate(plan_ids):
             try:
-                _new_segs = _collect_plan_segments(variant.id, self._clip_repo)
-                for _aid, _ivs in _new_segs.items():
-                    batch_segments_acc.setdefault(_aid, []).extend(_ivs)
+                perturbation = generate_visual_perturbation(rng)
+                # 变体 0 不做 hflip（保持预览 plan 原始画面方向）
+                if idx == 0:
+                    perturbation["hflip"] = False
+                config_update = {"visual_perturbation": perturbation}
+                # #1764：写入节奏模板
+                if idx < len(rhythm_templates_for_variants):
+                    config_update["rhythm_template"] = rhythm_templates_for_variants[idx]
+                # #1765：写入像素级扰动滤镜
+                from packages.domain.variant_plan_selector import generate_pixel_perturbation
+
+                pixel_pert = generate_pixel_perturbation(rng)
+                config_update["pixel_perturbation"] = pixel_pert
+                # #1767：写入 BGM 池分配（覆盖 bgm 配置中的 preset_id / audio_offset / volume_adjust_db）
+                if idx < len(bgm_pool_assignments):
+                    existing_bgm = dict((source_plan.config or {}).get("bgm", {}) or {})
+                    existing_bgm.update(bgm_pool_assignments[idx])
+                    config_update["bgm"] = existing_bgm
+                self.update_plan_config(pid, config_update)
+                logger.info(
+                    "变体 %d 视觉扰动+像素扰动+BGM池: plan=%s vis=%s pix=%s bgm=%s",
+                    idx,
+                    pid,
+                    perturbation,
+                    pixel_pert,
+                    bgm_pool_assignments[idx] if idx < len(bgm_pool_assignments) else None,
+                )
             except Exception:
-                logger.exception("变体 %d 区间收集失败（不阻断）: plan=%s", i, variant.id)
+                logger.exception("变体 %d 视觉扰动生成失败（不阻断）: plan=%s", idx, pid)
 
         # 标记所有变体 plan 的 clips 为 ready（已分配素材+起点，语义上就是 ready）
         for pid in plan_ids:
@@ -1063,7 +991,7 @@ class EditPlanService:
 
     # ── 片段分割与合并 ──────────────────────────────────────────────────────
 
-    def split_clip(self, clip_id: str, split_time: float) -> dict[str, Any]:
+    def split_clip(self, clip_id: str, split_time: float) -> Dict[str, Any]:
         """将一个片段从指定位置分割为两个片段
 
         Args:
@@ -1151,7 +1079,7 @@ class EditPlanService:
             "right_clip": created_right,
         }
 
-    def merge_clips(self, clip_ids: list[str]) -> EditPlanClip:
+    def merge_clips(self, clip_ids: List[str]) -> EditPlanClip:
         """合并多个连续片段为一个片段
 
         Args:
@@ -1217,7 +1145,7 @@ class EditPlanService:
 
     # ── 渲染生成流程 ────────────────────────────────────────────────────────
 
-    def get_generation_status(self, plan_id: str) -> dict[str, Any]:
+    def get_generation_status(self, plan_id: str) -> Dict[str, Any]:
         """获取渲染进度状态
 
         Returns:
@@ -1364,7 +1292,7 @@ class EditPlanService:
         )
         return count
 
-    def update_plan_config(self, plan_id: str, config_updates: dict[str, Any]) -> EditPlan:
+    def update_plan_config(self, plan_id: str, config_updates: Dict[str, Any]) -> EditPlan:
         """更新计划配置（合并更新）
 
         Args:

apps/api/app/services/edit_template_service.py

@@ -7,7 +7,7 @@
 from __future__ import annotations
 
 import logging
-from typing import Any, Optional
+from typing import Any, List, Optional
 
 from sqlalchemy.orm import Session
 
@@ -76,7 +76,7 @@ class EditTemplateService:
         active_only: bool = False,
         skip: int = 0,
         limit: int = 50,
-    ) -> list[EditTemplate]:
+    ) -> List[EditTemplate]:
         """列出模板
 
         Args:
@@ -227,7 +227,7 @@ class EditTemplateService:
         clip_type: Optional[ClipType] = None,
         skip: int = 0,
         limit: int = 100,
-    ) -> list[TemplateClipConfig]:
+    ) -> List[TemplateClipConfig]:
         """列出模板的片段配置
 
         注意：本方法要求模板存在于新表 ``edit_templates``（全局模板库），
@@ -253,7 +253,7 @@ class EditTemplateService:
         clip_type: Optional[ClipType] = None,
         skip: int = 0,
         limit: int = 100,
-    ) -> list[TemplateClipConfig]:
+    ) -> List[TemplateClipConfig]:
         """编辑器读取模板片段配置的单一数据源入口.
 
         片段配置主表是 ``template_clip_configs``（直接读取，不抛异常、不降级）。
@@ -404,8 +404,8 @@ class EditTemplateService:
     def reorder_clip_configs(
         self,
         template_id: str,
-        config_ids: list[str],
-    ) -> list[TemplateClipConfig]:
+        config_ids: List[str],
+    ) -> List[TemplateClipConfig]:
         """重新排序片段配置
 
         Args:
@@ -560,7 +560,7 @@ class EditTemplateService:
         )
 
         # 5. 转换每个片段为模板片段配置
-        created_configs: list[TemplateClipConfig] = []
+        created_configs: List[TemplateClipConfig] = []
         for clip_config_obj in clips_to_template_clip_configs(created_template.id, clips):
             created = self._clip_config_repo.create(clip_config_obj)
             created_configs.append(created)

apps/api/app/services/generation_common.py

@@ -1,189 +0,0 @@
-"""智能剪辑公共服务辅助函数（从 route 层下沉）。
-
-集中管理：
-- query_voice_durations：批量查询配音素材时长
-- writeback_edit_plan_config：任务入队后回写 EditPlan.config
-- collect_plan_segments：分页读取 plan clips 构建素材区间表（变体避让用）
-- resolve_latest_plan_by_template：按 template_id + user_id 查最新 EditPlan
-
-设计原则：
-- 无副作用的纯查询 / 幂等写回；失败一律不阻断主流程（记日志 + 返回安全默认值）
-- 不依赖 FastAPI / HTTPException，便于 service 层和 worker 复用
-"""
-
-from __future__ import annotations
-
-import logging
-from typing import Any, Optional
-
-from sqlalchemy.orm import Session
-
-logger = logging.getLogger(__name__)
-
-
-def query_voice_durations(db: Session, voice_ids: list[str]) -> list[float]:
-    """批量查询配音素材时长（秒），#1749 配音时长分配用。
-
-    逐项 try/float 硬化：MagicMock/异常/缺失 → 0.0（无配音不分配，不阻断）。
-
-    #1855 P0修复：不再对 voice_ids 去重，保持与调用方传入顺序/长度一致，
-    允许同配音id多次出现时返回相同时长（支持"同配音N变体"的时长对齐）。
-    """
-    raw_ids = list(voice_ids or [])
-    if not raw_ids:
-        return []
-    unique_ids: list[str] = []
-    _seen: set[str] = set()
-    for v in raw_ids:
-        if v and v not in _seen:
-            _seen.add(v)
-            unique_ids.append(v)
-    if not unique_ids:
-        return [0.0 for _ in raw_ids]
-    try:
-        from packages.adapters.sqlalchemy_impl.models import AssetModel
-
-        rows = db.query(AssetModel.id, AssetModel.duration).filter(AssetModel.id.in_(unique_ids)).all()
-        dur_map: dict[str, float] = {}
-        for row in rows:
-            try:
-                dur_map[row[0]] = float(row[1] or 0.0)
-            except (TypeError, ValueError):
-                dur_map[row[0]] = 0.0
-        return [dur_map.get(v, 0.0) if v else 0.0 for v in raw_ids]
-    except Exception:
-        logger.warning("[generation_common] 配音时长查询失败（按无配音处理，不阻断）", exc_info=True)
-        return [0.0 for _ in raw_ids]
-
-
-def writeback_edit_plan_config(
-    plan_id: str,
-    task_id: str,
-    title_config: dict | None,
-    db: Session,
-) -> None:
-    """任务入队成功后，回写 EditPlan.config：generation_task_id + title_config。
-
-    用 merge 方式更新，不整体覆盖 config，避免丢失其他字段。
-    失败只记日志，不影响任务创建。
-    """
-    if not plan_id:
-        return
-    try:
-        from packages.adapters.sqlalchemy_impl.models import EditPlanModel
-
-        plan_model = db.query(EditPlanModel).filter(EditPlanModel.id == plan_id).first()
-        if plan_model is None:
-            logger.warning("[generation_common] 回写plan.config失败: plan不存在 plan_id=%s", plan_id)
-            return
-
-        current_config = plan_model.config if isinstance(plan_model.config, dict) else {}
-        merged = dict(current_config)
-        merged["generation_task_id"] = task_id
-
-        if title_config:
-            # #1901 统一字段名为 "title"（worker sync_configs_to_plan 写的是 "title"）
-            # 先读取新旧两个 key，判断标题文字是否变化
-            old_title_cfg = merged.get("title", {}) or {}
-            if not isinstance(old_title_cfg, dict) or not (old_title_cfg.get("text") or "").strip():
-                old_title_cfg = merged.get("title_config", {}) or {}
-            old_title_text = (old_title_cfg.get("text") or "").strip() if isinstance(old_title_cfg, dict) else ""
-            new_title_text = (title_config.get("text") or "").strip()
-            if old_title_text != new_title_text:
-                if "cover" in merged:
-                    del merged["cover"]
-                    logger.info(
-                        "[generation_common] 标题变化，清除旧封面: plan_id=%s old_title=%s new_title=%s",
-                        plan_id,
-                        old_title_text,
-                        new_title_text,
-                    )
-            # 字段名归一化（font_size→size, font_preset→font, font_color→color），与 worker sync_configs_to_plan 保持一致
-            normalized = dict(title_config)
-            if "font_size" in normalized and "size" not in normalized:
-                normalized["size"] = normalized["font_size"]
-            if "font_preset" in normalized and "font" not in normalized:
-                normalized["font"] = normalized["font_preset"]
-            if "font_color" in normalized and "color" not in normalized:
-                normalized["color"] = normalized["font_color"]
-            merged["title"] = normalized
-            # 清掉旧 key，避免双字段并存
-            merged.pop("title_config", None)
-
-        plan_model.config = merged
-        db.commit()
-        logger.info(
-            "[generation_common] 回写plan.config成功: plan_id=%s task_id=%s keys=%s",
-            plan_id,
-            task_id,
-            list(merged.keys()),
-        )
-    except Exception as e:
-        logger.warning(
-            "[generation_common] 回写plan.config异常（不影响任务创建）: plan_id=%s error=%s",
-            plan_id,
-            e,
-            exc_info=True,
-        )
-        try:
-            db.rollback()
-        except Exception:
-            pass
-
-
-def collect_plan_segments(
-    plan_id: str,
-    clip_repo: Any,
-    *,
-    page_size: int = 500,
-) -> dict[str, list[tuple[float, float]]]:
-    """分页读取 plan 所有 clips，构建 {asset_id: [(start, end), ...]} 素材区间表。
-
-    用于 #1855 P0 批次内素材区间避让（变体间素材片段重叠控制）。
-    """
-    segs: dict[str, list[tuple[float, float]]] = {}
-    sk, pg = 0, page_size
-    while True:
-        batch = clip_repo.list_by_plan(plan_id, skip=sk, limit=pg)
-        if not batch:
-            break
-        for c in batch:
-            if c.asset_id and float(c.duration or 0) > 0:
-                st = float(c.start_time or 0.0)
-                segs.setdefault(c.asset_id, []).append((st, st + float(c.duration)))
-        if len(batch) < pg:
-            break
-        sk += pg
-    return segs
-
-
-def resolve_latest_plan_by_template(
-    db: Session,
-    *,
-    template_id: str,
-    user_id: str,
-) -> Optional[str]:
-    """按 template_id + user_id 查找最新的 EditPlan.id（模板兜底用）。找不到返回 None。"""
-    if not (template_id or "").strip():
-        return None
-    try:
-        from packages.adapters.sqlalchemy_impl.models import EditPlanModel
-
-        latest = (
-            db.query(EditPlanModel)
-            .filter(
-                EditPlanModel.template_id == template_id.strip(),
-                EditPlanModel.created_by_user_id == user_id,
-            )
-            .order_by(EditPlanModel.created_at.desc())
-            .first()
-        )
-        return latest.id if latest else None
-    except Exception:
-        logger.warning(
-            "[generation_common] 按template查找最新plan失败: template=%s user=%s",
-            template_id,
-            user_id,
-            exc_info=True,
-        )
-        return None

apps/api/app/services/lipsync_service.py

@@ -1,25 +1,18 @@
-"""对口型 Service — #1796 MediaKit 对口型业务逻辑, #1809 参数调整, #1845 配音前置.
+"""对口型 Service — #1796 MediaKit 对口型业务逻辑.
 
 职责：
-- 创建/查询对口型任务
-- 三输入模式：
-  1. TTS 直生（voice_id + script_text）→ 走 Celery 异步（降级路径）
-  2. 直接音频（audio_url，前端未传 timings）→ 同步下载 + 算 timings + 提交 MediaKit
-  3. 预合成音频（audio_url + sentence_timings，#1845 新主路径）→ 同步 ffprobe 校验时长 +
-     写入前端传来的 timings → 直接提交 MediaKit（~2-3s）
+- 创建/查询/取消对口型任务
 - 调用 MediaKit 客户端提交异步任务
-- 轮询更新任务状态（中间状态同步 DB，成片转存自家 OSS）
+- 轮询更新任务状态
 - 用户隔离（每个用户只能操作自己的任务）
 """
 
 from __future__ import annotations
 
-import io
 import logging
 import uuid
-from datetime import UTC, datetime
+from datetime import datetime, timezone
 from typing import Optional
-from urllib.parse import urlparse
 
 from app.services.mediakit_client import (
     STATUS_COMPLETED,
@@ -29,220 +22,19 @@ from app.services.mediakit_client import (
     MediaKitError,
     get_mediakit_client,
 )
-
-# Celery 异步任务：TTS 合成 + MediaKit 提交（降级路径）
-from app.tasks.lipsync_tts import tts_synthesize_and_submit
 from sqlalchemy.orm import Session
 
 from packages.adapters.sqlalchemy_impl.models import LipsyncJobModel
-from packages.application.cosyvoice_service import CosyVoiceError
-from packages.domain.sentence_timings import (
-    compute_sentence_timings,
-    probe_audio_duration,
-)
-from packages.shared.storage import get_shared_storage_service
-from packages.shared.url_security import ALLOWED_AUDIO_MIME_TYPES, safe_download_bytes
 
 logger = logging.getLogger(__name__)
 
-# 传给 MediaKit GPU worker / 回给前端播放的 OSS 预签名有效期：7 天。
-MEDIAKIT_URL_TTL_SECONDS = 7 * 24 * 3600
-
 
 class LipsyncService:
     """对口型任务 Service."""
 
-    def __init__(
-        self,
-        db: Session,
-        client: Optional[MediaKitClient] = None,
-        cosyvoice_service=None,
-        voice_clone_repo=None,
-    ):
+    def __init__(self, db: Session, client: Optional[MediaKitClient] = 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=emotion,  # normalize 在 CosyVoiceService 内部完成
-                language="zh",
-            )
-        except CosyVoiceError as exc:
-            raise MediaKitError(f"TTS 合成失败: {exc}", code="TTSSynthesisFailed") from exc
-        except ValueError as exc:
-            raise MediaKitError(f"TTS 参数错误: {exc}", code="TTSInvalidParam") from exc
-
-        temp_url = result.get("audio_url", "")
-        if not temp_url:
-            raise MediaKitError("TTS 未返回音频 URL", code="TTSNoAudio")
-
-        # 转存到自家 OSS，避免临时 URL 过期导致 MediaKit 拉取失败
-        try:
-            audio_data = safe_download_bytes(
-                temp_url,
-                purpose="lipsync_tts_audio",
-                allowed_mime_types=ALLOWED_AUDIO_MIME_TYPES,
-                timeout=60.0,
-            )
-            storage = get_shared_storage_service()
-            storage_key = f"lipsync-tts/{user_id}/{job_id}.mp3"
-            permanent_url = storage.upload_file(io.BytesIO(audio_data), storage_key, content_type="audio/mpeg")
-            logger.info("对口型 TTS 音频已转存 OSS: job_id=%s key=%s", job_id, storage_key)
-            return permanent_url
-        except Exception as exc:
-            logger.warning("TTS 音频转存 OSS 失败，回退临时 URL: job_id=%s err=%s", job_id, exc)
-            return temp_url
-
-    def _submit_audio_direct(
-        self,
-        *,
-        job: LipsyncJobModel,
-        supplied_timings: Optional[list] = None,
-        supplied_duration: Optional[float] = None,
-    ) -> None:
-        """音频直传模式（包含 #1845 预合成路径）：同步下载 → ffprobe → timings → 提交 MediaKit.
-
-        直接在 HTTP 请求内完成，不走 Celery。job.status 成功后置为 submitted。
-        失败时把 job 标成 failed 并 commit，然后抛 MediaKitError。
-
-        Args:
-            job: 已 commit 的 LipsyncJobModel（audio_url / video_url 已写入）
-            supplied_timings: 前端传来的预合成 timings（可选，可信时直接用）
-            supplied_duration: 前端传来的预合成时长（可选，用于优先避免重复探测）
-        """
-        # 1. 下载音频
-        audio_data: bytes | None = None
-        try:
-            audio_data = safe_download_bytes(
-                job.audio_url,
-                purpose="lipsync_direct_audio",
-                allowed_mime_types=ALLOWED_AUDIO_MIME_TYPES,
-                timeout=60.0,
-            )
-            logger.info(
-                "[lipsync] 直传音频下载完成: job_id=%s size=%d",
-                job.id,
-                len(audio_data) if audio_data else 0,
-            )
-        except Exception as exc:
-            logger.warning("[lipsync] 直传音频下载失败，跳过 timings 计算: job_id=%s err=%s", job.id, exc)
-
-        # 2. ffprobe 探测时长（优先用前端传入的预合成时长，但以 ffprobe 为准做兜底校验）
-        audio_duration = 0.0
-        if audio_data:
-            audio_duration = probe_audio_duration(audio_data)
-        if audio_duration <= 0 and supplied_duration and supplied_duration > 0:
-            audio_duration = supplied_duration
-            logger.info(
-                "[lipsync] ffprobe 失败，使用前端传入的预合成时长: job_id=%s duration=%.2f", job.id, audio_duration
-            )
-
-        # 3. 句子时间戳：优先用前端预合成传入的 timings（后端预合成接口已经算过，可信）；
-        #    否则若音频下载成功则重算；否则不设置（不阻塞主流程）
-        timings: Optional[list] = None
-        if supplied_timings:
-            timings = supplied_timings
-            logger.info("[lipsync] 使用前端预合成句子时间戳: job_id=%s sentences=%d", job.id, len(timings))
-        elif audio_data and audio_duration > 0 and job.script_text:
-            try:
-                timings = compute_sentence_timings(audio_data, job.script_text, audio_duration)
-                logger.info(
-                    "[lipsync] 后端重算句子时间戳: job_id=%s sentences=%d duration=%.2f",
-                    job.id,
-                    len(timings) if timings else 0,
-                    audio_duration,
-                )
-            except Exception as exc:
-                logger.warning("[lipsync] 句子时间戳计算失败（不阻塞）: job_id=%s err=%s", job.id, exc)
-
-        if timings:
-            job.sentence_timings = timings
-
-        # 4. 签名 URL 并提交 MediaKit
-        video_url = self._sign_media_url(job.video_url)
-        signed_audio_url = self._sign_media_url(job.audio_url)
-        job.audio_url = signed_audio_url
-
-        try:
-            result = self.client.submit_lipsync(
-                video_url=video_url,
-                audio_url=signed_audio_url,
-                enable_video_loop=job.enable_video_loop,
-                client_token=job.id,
-            )
-            job.mediakit_task_id = result["task_id"]
-            job.status = "submitted"
-            job.submitted_at = datetime.now(UTC)
-            self.db.commit()
-            logger.info(
-                "[lipsync] 直传音频已提交 MediaKit: job_id=%s task_id=%s",
-                job.id,
-                result["task_id"],
-            )
-        except MediaKitError as exc:
-            job.status = "failed"
-            job.error_message = str(exc)
-            job.error_code = exc.code
-            logger.error("[lipsync] 直传音频提交 MediaKit 失败: job_id=%s err=%s", job.id, exc)
-            self.db.commit()
-            raise
 
     # ── 创建任务 ──────────────────────────────────────────────────────────
 
@@ -251,48 +43,15 @@ class LipsyncService:
         *,
         user_id: str,
         video_url: str,
-        audio_url: str = "",
-        audio_duration: Optional[float] = None,
-        sentence_timings: Optional[list] = None,
-        voice_id: str = "",
-        script_text: str = "",
-        speed: float = 1.0,
-        emotion: str = "",
-        enable_video_loop: bool = True,
+        audio_url: str,
+        enable_video_loop: bool = False,
         project_id: str = "",
     ) -> LipsyncJobModel:
-        """创建对口型任务.
-
-        三种输入模式：
-        - TTS 直生：voice_id + script_text（audio_url 留空）
-          → 创建 DB 记录（状态 tts_processing），dispatch Celery 异步任务（降级路径）。
-          API 响应 <1s。
-        - 直接音频：audio_url 非空 + 无 sentence_timings
-          → 同步下载音频 + 重算 timings + 提交 MediaKit（几秒完成）。
-        - 预合成音频（#1845 新主路径）：audio_url 非空 + 传 sentence_timings
-          → 同步 ffprobe 校验时长 + 写入 timings + 提交 MediaKit（~2-3s）。
+        """创建对口型任务并提交到 MediaKit.
 
         Raises:
-            MediaKitError: 参数校验失败或 MediaKit 提交失败
+            MediaKitError: API 调用失败
         """
-        # 0. 输入校验
-        is_pre_synth = bool(audio_url) and bool(sentence_timings)
-        bool(audio_url) and not is_pre_synth
-        is_tts_mode = not bool(audio_url)
-
-        if is_tts_mode:
-            if not (voice_id and script_text):
-                raise MediaKitError(
-                    "必须提供 audio_url 或 voice_id+script_text",
-                    code="InvalidInput",
-                )
-            # TTS 模式：在 HTTP 请求中同步校验音色归属，快速失败
-            self._resolve_voice_id(voice_id, user_id)
-        elif is_pre_synth:
-            # 预合成模式：script_text 可空（因为 timings 已自带句子文本），但仍建议传
-            if not isinstance(sentence_timings, list) or len(sentence_timings) == 0:
-                raise MediaKitError("预合成模式 sentence_timings 不能为空", code="InvalidInput")
-
         # 1. 创建数据库记录
         job_id = str(uuid.uuid4())
         job = LipsyncJobModel(
@@ -302,140 +61,33 @@ class LipsyncService:
             video_url=video_url,
             audio_url=audio_url,
             enable_video_loop=enable_video_loop,
-            voice_id=voice_id or "",
-            script_text=script_text or "",
-            speed=speed,
-            emotion=emotion or "",
-            # 音频直传（含预合成）直接进入 pending（后续同步改为 submitted）；TTS 模式进入 tts_processing
-            status="tts_processing" if is_tts_mode else "pending",
+            status="pending",
         )
         self.db.add(job)
         self.db.flush()
 
-        # ⚠️ 必须先 commit 再发 Celery 任务 / 后续同步操作，避免事务竞态
+        # 2. 提交到 MediaKit
+        try:
+            result = self.client.submit_lipsync(
+                video_url=video_url,
+                audio_url=audio_url,
+                enable_video_loop=enable_video_loop,
+                client_token=job_id,  # 幂等控制
+            )
+            job.mediakit_task_id = result["task_id"]
+            job.status = "submitted"
+            job.submitted_at = datetime.now(timezone.utc)
+        except MediaKitError as exc:
+            job.status = "failed"
+            job.error_message = str(exc)
+            job.error_code = exc.code
+            logger.error("提交对口型任务失败: %s", exc)
+            raise
+
         self.db.commit()
         self.db.refresh(job)
-
-        if is_tts_mode:
-            # 2a. TTS 模式：dispatch Celery 异步任务处理 TTS 合成 + MediaKit 提交（降级路径）
-            try:
-                tts_synthesize_and_submit.apply_async(
-                    args=(
-                        job_id,
-                        user_id,
-                        voice_id,
-                        script_text,
-                        speed,
-                        emotion or "",
-                    )
-                )
-            except Exception as exc:
-                logger.exception(
-                    "Celery 任务提交失败，TTS 任务已创建但未触发执行: job_id=%s err=%s",
-                    job_id,
-                    exc,
-                )
-                job.status = "failed"
-                job.error_message = f"Celery 任务投递失败: {exc}"
-                job.error_code = "AsyncDispatchFailed"
-                job.updated_at = datetime.now(UTC)
-                self.db.commit()
-        else:
-            # 2b/2c. 直接音频 / 预合成音频：同步路径
-            self._submit_audio_direct(
-                job=job,
-                supplied_timings=sentence_timings,
-                supplied_duration=audio_duration,
-            )
-            self.db.refresh(job)
-
         return job
 
-    # ── TTS 预合成（#1845 步骤1「生成配音」同步接口使用） ──────────────────
-
-    def preview_tts(
-        self,
-        *,
-        user_id: str,
-        voice_id: str,
-        script_text: str,
-        speed: float = 1.0,
-        emotion: str = "neutral",
-    ) -> dict:
-        """同步做 TTS 合成 + 下载 + ffprobe + 句子时间戳计算.
-
-        不创建 LipsyncJob、不转存 OSS，直接返回 CosyVoice 临时 URL（~24h 有效期）。
-        耗时约 2-3 秒，由前端在步骤1点「生成配音」时同步等待。
-
-        Returns:
-            {"audio_url": str, "duration": float, "sentence_timings": list[dict]}
-
-        Raises:
-            MediaKitError: TTS 合成失败 / 下载失败 / ffprobe 失败
-        """
-        # 1. 音色解析（校验克隆音色归属）
-        actual_voice_id = self._resolve_voice_id(voice_id, user_id)
-        cosyvoice = self._get_cosyvoice()
-
-        # 2. TTS 合成（同步，~2-3s）
-        try:
-            result = cosyvoice.submit_synthesize_task(
-                text=script_text,
-                voice_id=actual_voice_id,
-                speed=speed,
-                emotion=emotion,  # normalize 在 CosyVoiceService 内部完成
-                language="zh",
-            )
-        except CosyVoiceError as exc:
-            raise MediaKitError(f"TTS 合成失败: {exc}", code="TTSSynthesisFailed") from exc
-        except ValueError as exc:
-            raise MediaKitError(f"TTS 参数错误: {exc}", code="TTSInvalidParam") from exc
-
-        temp_url = result.get("audio_url", "")
-        if not temp_url:
-            raise MediaKitError("TTS 未返回音频 URL", code="TTSNoAudio")
-
-        # 3. 下载音频到内存（用于 ffprobe + 静音检测）
-        try:
-            audio_data = safe_download_bytes(
-                temp_url,
-                purpose="tts_preview_audio",
-                allowed_mime_types=ALLOWED_AUDIO_MIME_TYPES,
-                timeout=60.0,
-            )
-        except Exception as exc:
-            logger.warning("[tts-preview] TTS 音频下载失败，仍返回 audio_url: user_id=%s err=%s", user_id, exc)
-            return {
-                "audio_url": temp_url,
-                "duration": 0.0,
-                "sentence_timings": [],
-            }
-
-        # 4. ffprobe 时长
-        duration = probe_audio_duration(audio_data)
-        if duration <= 0:
-            logger.warning("[tts-preview] ffprobe 未返回有效时长，timings 留空: user_id=%s", user_id)
-            return {
-                "audio_url": temp_url,
-                "duration": 0.0,
-                "sentence_timings": [],
-            }
-
-        # 5. 句子时间戳
-        timings = compute_sentence_timings(audio_data, script_text, duration)
-
-        logger.info(
-            "[tts-preview] TTS 预合成完成: user_id=%s duration=%.2f sentences=%d",
-            user_id,
-            duration,
-            len(timings),
-        )
-        return {
-            "audio_url": temp_url,
-            "duration": round(duration, 2),
-            "sentence_timings": timings,
-        }
-
     # ── 查询任务 ──────────────────────────────────────────────────────────
 
     def get_job(self, job_id: str, user_id: str) -> Optional[LipsyncJobModel]:
@@ -469,7 +121,11 @@ class LipsyncService:
     # ── 更新任务状态（轮询） ──────────────────────────────────────────────
 
     def refresh_job_status(self, job_id: str, user_id: str) -> Optional[LipsyncJobModel]:
-        """从 MediaKit 拉取最新状态并更新本地记录."""
+        """从 MediaKit 拉取最新状态并更新本地记录.
+
+        Returns:
+            更新后的 Job，或 None（任务不存在/不属于该用户）
+        """
         job = self.get_job(job_id, user_id)
         if job is None:
             return None
@@ -489,107 +145,36 @@ 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)
 
-        try:
-            if mk_status == STATUS_COMPLETED:
-                result = status_data.get("result", {})
-                job.status = STATUS_COMPLETED
-                temp_url = result.get("video_url", "")
-                job.output_video_url = temp_url
-                job.output_duration = result.get("duration", 0.0)
-                job.completed_at = datetime.now(UTC)
-                job.updated_at = datetime.now(UTC)
-                self.db.commit()
-                # 异步转存自家 OSS
-                try:
-                    from app.tasks.lipsync_tts import persist_output_video_task
-
-                    persist_output_video_task.apply_async(args=(job_id, user_id, temp_url))
-                except Exception as exc:
-                    logger.warning(
-                        "提交输出视频异步转存任务失败，保留临时 URL: job_id=%s err=%s",
-                        job_id,
-                        exc,
-                    )
-            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(UTC)
-            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(UTC)
-            self.db.commit()
-        except Exception as exc:  # noqa: BLE001 - DB 提交失败必须记录日志并重试，否则后台任务静默失败
-            logger.error(
-                "refresh_job_status 提交 DB 失败 job_id=%s mk_status=%s err=%s",
-                job_id,
-                mk_status,
-                exc,
-                exc_info=True,
-            )
-            try:
-                self.db.rollback()
-            except Exception:
-                pass
-            # DB commit 失败不 raise，返回当前 job 对象让下次轮询再试
+        if mk_status == STATUS_COMPLETED:
+            result = status_data.get("result", {})
+            job.status = STATUS_COMPLETED
+            job.output_video_url = result.get("video_url", "")
+            job.output_duration = result.get("duration", 0.0)
+            job.completed_at = datetime.now(timezone.utc)
+        elif mk_status == STATUS_FAILED:
+            error = status_data.get("error", {})
+            job.status = "failed"
+            job.error_message = error.get("message", "任务执行失败")
+            job.error_code = error.get("code", "TaskFailed")
+            job.completed_at = datetime.now(timezone.utc)
+        # running 状态只更新时间戳
+        job.updated_at = datetime.now(timezone.utc)
+        self.db.commit()
         self.db.refresh(job)
         return job
 
-    def _persist_output_video(self, temp_url: str, job_id: str, user_id: str) -> str:
-        """将 MediaKit 输出的临时视频 URL 转存到自家 OSS. 失败时回退返回原始临时 URL."""
-        if not temp_url:
-            return ""
-        try:
-            import httpx
-
-            with httpx.Client(timeout=180.0, follow_redirects=True) as client:
-                resp = client.get(temp_url)
-                resp.raise_for_status()
-                data = resp.content
-            storage = get_shared_storage_service()
-            storage_key = f"lipsync-outputs/{user_id}/{job_id}.mp4"
-            permanent_url = storage.upload_file(io.BytesIO(data), storage_key, content_type="video/mp4")
-            logger.info("对口型输出视频已转存 OSS: job_id=%s key=%s", job_id, storage_key)
-            return self._sign_media_url(permanent_url) or temp_url
-        except Exception as exc:
-            logger.warning("对口型输出视频转存 OSS 失败，回退临时 URL: job_id=%s err=%s", job_id, exc)
-            return temp_url
-
-    def _sign_media_url(self, url: str) -> str:
-        """对自家 OSS 私有桶 URL 重签长有效期预签名."""
-        if not url:
-            return url
-        try:
-            storage = get_shared_storage_service()
-            public_base = getattr(storage, "public_url", "")
-            if not isinstance(public_base, str) or not public_base:
-                return url
-            own_host = urlparse(public_base).netloc.lower()
-            host = urlparse(url).netloc.lower()
-            if not own_host or host != own_host:
-                return url  # 外部临时链接原样透传
-            signed = storage.get_download_url(url, expires_seconds=MEDIAKIT_URL_TTL_SECONDS)
-            return signed or url
-        except Exception as exc:
-            logger.warning("对口型 URL 重签失败，原样返回: url_prefix=%s err=%s", url[:80], exc)
-            return url
-
     # ── 取消任务 ──────────────────────────────────────────────────────────
 
     def cancel_job(self, job_id: str, user_id: str) -> Optional[LipsyncJobModel]:
-        """取消任务（仅 pending/tts_processing/submitted 状态可取消）."""
+        """取消任务（仅 pending/submitted 状态可取消）."""
         job = self.get_job(job_id, user_id)
         if job is None:
             return None
 
-        if job.status in ("pending", "tts_processing", "submitted"):
+        if job.status in ("pending", "submitted"):
             job.status = "cancelled"
-            job.updated_at = datetime.now(UTC)
+            job.updated_at = datetime.now(timezone.utc)
             self.db.commit()
             self.db.refresh(job)
 

apps/api/app/services/mediakit_client.py

@@ -75,7 +75,7 @@ class MediaKitClient:
         *,
         video_url: str,
         audio_url: str,
-        enable_video_loop: bool = True,
+        enable_video_loop: bool = False,
         callback_url: Optional[str] = None,
         callback_args: Optional[str] = None,
         client_token: Optional[str] = None,
@@ -103,7 +103,8 @@ class MediaKitClient:
             "video_url": video_url,
             "audio_url": audio_url,
         }
-        payload["enable_video_loop"] = bool(enable_video_loop)
+        if enable_video_loop:
+            payload["enable_video_loop"] = True
         if callback_url:
             payload["callback_url"] = callback_url
         if callback_args:

apps/api/app/services/plan_generator_service.py

@@ -14,7 +14,7 @@ from __future__ import annotations
 
 import logging
 import random
-from typing import Any
+from typing import Any, List
 
 from sqlalchemy.orm import Session
 
@@ -62,8 +62,8 @@ class PlanGeneratorService:
     def generate_from_template(
         self,
         template: EditTemplate,
-        clip_configs: list[TemplateClipConfig],
-        asset_ids: list[str],
+        clip_configs: List[TemplateClipConfig],
+        asset_ids: List[str],
         *,
         project_id: str = "",
         created_by_user_id: str = "",
@@ -135,7 +135,7 @@ class PlanGeneratorService:
             )
 
         # 5. 持久化所有 clips 并计算总时长
-        created_clips: list[EditPlanClip] = []
+        created_clips: List[EditPlanClip] = []
         total_duration = 0.0
         for clip in clips:
             saved = self._clip_repo.create(clip)
@@ -184,15 +184,15 @@ class PlanGeneratorService:
     def _create_clips_from_configs(
         self,
         plan_id: str,
-        clip_configs: list[TemplateClipConfig],
-    ) -> list[EditPlanClip]:
+        clip_configs: List[TemplateClipConfig],
+    ) -> List[EditPlanClip]:
         """从 TemplateClipConfig 列表创建 EditPlanClip 列表（未持久化）.
 
         委托给 plan_generator_utils.create_clips_from_configs 纯函数。
         """
         return create_clips_from_configs(plan_id, clip_configs)
 
-    def _map_clip_types_for_mode(self, clips: list[EditPlanClip], editing_mode: str) -> None:
+    def _map_clip_types_for_mode(self, clips: List[EditPlanClip], editing_mode: str) -> None:
         """将 MAIN 类型片段按 editing_mode 映射为对应角色类型.
 
         委托给 plan_generator_utils.map_clip_types_for_mode 纯函数。
@@ -204,7 +204,7 @@ class PlanGeneratorService:
         plan_id: str,
         editing_mode: str,
         asset_count: int,
-    ) -> list[EditPlanClip]:
+    ) -> List[EditPlanClip]:
         """无 clip_configs 时，根据 editing_mode 生成默认 clip 结构.
 
         委托给 plan_generator_utils.generate_default_clips 纯函数。
@@ -213,8 +213,8 @@ class PlanGeneratorService:
 
     def _distribute_assets(
         self,
-        clips: list[EditPlanClip],
-        asset_ids: list[str],
+        clips: List[EditPlanClip],
+        asset_ids: List[str],
         editing_mode: str,
         *,
         random_selection: bool = False,
@@ -259,7 +259,7 @@ class PlanGeneratorService:
             external_used_segments=external_used_segments,
         )
 
-    def _fetch_asset_scene_points(self, asset_ids: list[str]) -> dict[str, list[float]]:
+    def _fetch_asset_scene_points(self, asset_ids: List[str]) -> dict[str, list[float]]:
         """从素材 metadata 读取场景切换点缓存（无缓存的素材不包含在结果中）。"""
         points_map: dict[str, list[float]] = {}
         if not self._asset_repo:
@@ -272,7 +272,7 @@ class PlanGeneratorService:
                     points_map[asset_id] = points
         return points_map
 
-    def _sort_assets_by_smart_score(self, asset_ids: list[str]) -> list[str]:
+    def _sort_assets_by_smart_score(self, asset_ids: List[str]) -> List[str]:
         """按 smart_match 综合评分降序排列素材 ID（注入随机噪声）。
 
         评分高的素材（质量好、时长合适、新鲜、使用次数少）倾向排在前面；
@@ -295,7 +295,7 @@ class PlanGeneratorService:
         )
         return [aid for aid, _ in scored]
 
-    def _fetch_asset_durations(self, asset_ids: list[str]) -> dict[str, float]:
+    def _fetch_asset_durations(self, asset_ids: List[str]) -> dict[str, float]:
         """从数据库获取素材时长信息.
 
         Args:

apps/api/app/services/script_asr_service.py

@@ -1,59 +0,0 @@
-"""文案提取 ASR 服务封装 — Issue #1893.
-
-将已有的 ASR 服务工厂封装为面向文案提取场景的简单接口：
-- transcribe_to_text(video_path) -> str：将视频/音频转写为纯文本
-- 未配置 ASR 时抛 ASRNotConfiguredError（路由层映射为 503）
-- ASR 调用失败时抛 ASRTranscriptionError（路由层映射为 502）
-"""
-
-from __future__ import annotations
-
-import logging
-from pathlib import Path
-
-from packages.ports.asr_service import ASRServiceError
-
-logger = logging.getLogger(__name__)
-
-
-class ASRNotConfiguredError(Exception):
-    """ASR 服务未配置."""
-
-
-class ASRTranscriptionError(Exception):
-    """ASR 转写失败."""
-
-
-def transcribe_to_text(media_path: str | Path) -> str:
-    """将视频/音频文件转写为纯文本.
-
-    Args:
-        media_path: 媒体文件路径
-
-    Returns:
-        转写出的文本
-
-    Raises:
-        ASRNotConfiguredError: ASR 服务未配置
-        ASRTranscriptionError: ASR 调用失败
-    """
-    # 延迟导入，避免循环依赖和启动时副作用
-    from apps.worker.services.asr_service_factory import get_asr_service
-
-    asr = get_asr_service()
-    if asr is None:
-        raise ASRNotConfiguredError("ASR 服务未配置，请联系管理员配置火山 MediaKit 或阿里云 ASR 密钥")
-
-    try:
-        timeline = asr.transcribe(Path(media_path))
-        # 拼接所有分段的文本
-        text = "".join(seg.text for seg in timeline.segments)
-        return text.strip()
-    except ASRNotConfiguredError:
-        raise
-    except ASRServiceError as exc:
-        logger.error("ASR 转写失败: %s", exc)
-        raise ASRTranscriptionError(f"语音识别失败: {exc}") from exc
-    except Exception as exc:
-        logger.error("ASR 转写异常: %s", exc)
-        raise ASRTranscriptionError(f"语音识别失败: {exc}") from exc

apps/api/app/services/script_service.py

@@ -6,7 +6,7 @@
 from __future__ import annotations
 
 import uuid
-from datetime import UTC, datetime
+from datetime import datetime, timezone
 from typing import Optional
 
 from sqlalchemy.orm import Session
@@ -93,7 +93,7 @@ class ScriptService:
             script.segments = segments
         if tags is not None:
             script.tags = tags
-        script.updated_at = datetime.now(UTC)
+        script.updated_at = datetime.now(timezone.utc)
         self.db.commit()
         self.db.refresh(script)
         return script

apps/api/app/tasks/lipsync_tts.py

@@ -1,461 +0,0 @@
-"""AI 数字人对口型 TTS 异步任务 — 将 TTS 合成从 HTTP 请求移至 Celery 后台执行.
-
-优化目标：将 create_job 的 API 响应时间从 6~35s 降到 <1s。
-任务流程：
-1. 创建新 DB session，加载 job 记录
-2. 调用 CosyVoice 合成音频
-3. 下载音频并转存到自家 OSS
-4. 更新 job 的 audio_url
-5. 签名 URL 并提交到 MediaKit
-6. 更新 job 状态为 submitted
-7. 异常时标记 job 为 failed
-
-注意：使用 @shared_task 而非绑定到某个 celery_app 实例，
-确保任务能被 Worker 侧 celery_app 正确注册，同时 API 侧 send_task/apply_async 仍可正常调用。
-
-#1845：句子时间戳计算已提取至 packages/domain/sentence_timings.py，本模块保留
-_ 开头别名兼容历史导入，但 _compute_sentence_timings/_split_script_into_sentences/
-_estimate_sentence_timings_by_chars 等内部函数已复用共享实现，避免重复代码。
-"""
-
-import io
-import logging
-from datetime import UTC, datetime
-from urllib.parse import urlparse
-
-from celery import shared_task
-
-# 复用共享的句子时间戳工具（#1845 配音前置）
-from packages.domain.sentence_timings import compute_sentence_timings as _compute_sentence_timings
-from packages.domain.sentence_timings import (
-    probe_audio_duration,
-)
-
-logger = logging.getLogger(__name__)
-
-# MediaKit 预签名 URL 有效期（7天，秒），与 LipsyncService._sign_media_url 保持一致
-_MEDIAKIT_URL_TTL_SECONDS = 7 * 24 * 3600
-
-
-def _sign_media_url(url: str) -> str:
-    """对自家 OSS 私有桶 URL 重签长有效期预签名.
-
-    - 自家 OSS URL → 重签 7 天有效期
-    - 外部临时 URL → 原样透传
-    - 任何异常降级原样返回，不阻断主流程
-    """
-    if not url:
-        return url
-    try:
-        from packages.shared.storage import get_shared_storage_service
-
-        storage = get_shared_storage_service()
-        public_base = getattr(storage, "public_url", "")
-        if not isinstance(public_base, str) or not public_base:
-            return url
-        own_host = urlparse(public_base).netloc.lower()
-        host = urlparse(url).netloc.lower()
-        if not own_host or host != own_host:
-            return url
-        signed = storage.get_download_url(url, expires_seconds=_MEDIAKIT_URL_TTL_SECONDS)
-        return signed or url
-    except Exception as exc:  # noqa: BLE001
-        logger.warning("[lipsync_tts] URL 重签失败，原样返回: url_prefix=%s err=%s", url[:80], exc)
-        return url
-
-
-@shared_task(
-    bind=True,
-    name="lipsync_tts.synthesize_and_submit",
-    max_retries=5,  # 事务竞态重试3次（job not found）+ TTS偶发错误2次
-    default_retry_delay=30,
-    autoretry_for=(OSError, ConnectionError),  # 网络/连接错误自动重试
-    retry_backoff=True,
-    retry_backoff_max=30,
-    soft_time_limit=180,
-    time_limit=200,
-)
-def tts_synthesize_and_submit(
-    self,
-    job_id: str,
-    user_id: str,
-    voice_id: str,
-    script_text: str,
-    speed: float,
-    emotion: str,
-):
-    """异步执行 TTS 合成 + OSS 转存 + MediaKit 提交.
-
-    在 Celery worker 中运行，不阻塞 HTTP 请求。保留作为降级路径
-    （预合成失败 / 旧版前端未传 audio_url 时走此路径）。
-    """
-    from app.services.mediakit_client import MediaKitError, get_mediakit_client
-    from sqlalchemy.orm import Session as DBSession
-
-    from packages.adapters.sqlalchemy_impl.models import LipsyncJobModel
-    from packages.application.cosyvoice_service import CosyVoiceError, CosyVoiceService
-    from packages.shared.url_security import safe_download_bytes
-
-    # SessionLocal 获取：
-    # - API 容器：app.db.SessionLocal（环境变量完整，导入即建引擎）
-    # - Worker 容器：worker_app.db.SessionLocal（Worker 自己的 settings 初始化引擎）
-    # API 侧没有 worker_app 模块 → ImportError 直接回退；
-    # Worker 侧 app.db 会因缺少 API 专有环境变量抛 pydantic ValidationError，
-    # 此时也要回退到 worker_app.db。
-    try:
-        from worker_app.db import SessionLocal  # type: ignore
-    except Exception:  # noqa: BLE001
-        from app.db import SessionLocal  # type: ignore
-
-    db: DBSession = SessionLocal()
-    try:
-        job = (
-            db.query(LipsyncJobModel)
-            .filter(
-                LipsyncJobModel.id == job_id,
-                LipsyncJobModel.user_id == user_id,
-            )
-            .first()
-        )
-
-        if job is None:
-            # 事务竞态防御：API 在 commit 前投递了任务，worker 消费时事务尚未提交。
-            retries = getattr(self.request, "retries", 0)
-            max_retries = 3
-            if retries < max_retries:
-                backoff = (2**retries) + (retries * 1)  # 1s, 3s, 7s
-                logger.warning(
-                    "[lipsync_tts] Job not found yet (retry %d/%d, backoff %ds): job_id=%s",
-                    retries + 1,
-                    max_retries,
-                    backoff,
-                    job_id,
-                )
-                self.db.close()
-                raise self.retry(countdown=backoff, max_retries=max_retries)
-            logger.error(
-                "[lipsync_tts] Job not found after %d retries, giving up: job_id=%s",
-                max_retries,
-                job_id,
-            )
-            return
-
-        # 已取消的任务不再处理
-        if job.status == "cancelled":
-            logger.info("[lipsync_tts] Job already cancelled, skipping: job_id=%s", job_id)
-            return
-
-        # 1. TTS 合成
-        logger.info(
-            "[lipsync_tts] 开始 TTS 合成: job_id=%s voice_id=%s text_len=%d speed=%.2f",
-            job_id,
-            voice_id,
-            len(script_text),
-            speed,
-        )
-        try:
-            cosyvoice = CosyVoiceService()
-            result = cosyvoice.submit_synthesize_task(
-                text=script_text,
-                voice_id=voice_id,
-                speed=speed,
-                emotion=emotion,
-                language="zh",
-            )
-        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(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(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(UTC)
-            db.commit()
-            return
-
-        # 2. 下载 TTS 音频到内存（用于 2.5 静音检测；不转存自家 OSS，直接使用 CosyVoice 临时 URL）
-        audio_data: bytes | None = None
-        try:
-            audio_data = safe_download_bytes(
-                temp_url,
-                purpose="lipsync_tts_audio",
-                allowed_mime_types={
-                    "audio/mpeg",
-                    "audio/mp3",
-                    "audio/wav",
-                    "audio/x-wav",  # CosyVoice 部分接口返回 audio/x-wav
-                    "audio/mp4",
-                    "audio/x-m4a",
-                },
-                timeout=60.0,
-            )
-            logger.info(
-                "[lipsync_tts] TTS 音频已下载到内存: job_id=%s size=%d",
-                job_id,
-                len(audio_data) if audio_data else 0,
-            )
-        except Exception as exc:
-            logger.warning(
-                "[lipsync_tts] TTS 音频下载失败，跳过静音检测，直接使用临时 URL 提交: job_id=%s err=%s",
-                job_id,
-                exc,
-            )
-        # TTS 音频使用 CosyVoice 临时 URL，跳过自家 OSS 转存（加速，步骤⑥）
-        job.audio_url = temp_url
-        logger.info("[lipsync_tts] TTS 音频使用 CosyVoice 临时 URL（跳过 OSS 转存）: job_id=%s", job_id)
-
-        db.commit()
-
-        # 2.5 计算精确句子时间戳（基于 TTS 音频静音检测）—— 复用共享工具
-        try:
-            if not audio_data:
-                logger.warning("[lipsync_tts] 无音频数据，跳过句子时间戳计算: job_id=%s", job_id)
-            else:
-                _audio_duration = probe_audio_duration(audio_data)
-                logger.info(
-                    "[lipsync_tts] 音频时长探测: job_id=%s duration=%.2f",
-                    job_id,
-                    _audio_duration,
-                )
-
-                if _audio_duration > 0:
-                    _timings = _compute_sentence_timings(audio_data, script_text, _audio_duration)
-                    if _timings:
-                        job.sentence_timings = _timings
-                        logger.info(
-                            "[lipsync_tts] 句子时间戳已计算: job_id=%s sentences=%d duration=%.1f",
-                            job_id,
-                            len(_timings),
-                            _audio_duration,
-                        )
-                    else:
-                        logger.warning("[lipsync_tts] 句子时间戳计算返回空结果: job_id=%s", job_id)
-                else:
-                    logger.warning(
-                        "[lipsync_tts] ffprobe 未获取到有效时长，跳过句子时间戳: job_id=%s",
-                        job_id,
-                    )
-                db.commit()
-        except Exception as _st_err:
-            logger.warning(
-                "[lipsync_tts] 句子时间戳计算失败（不影响主流程）: job_id=%s err=%s", job_id, _st_err, exc_info=True
-            )
-
-        # 3. 签名 URL 并提交到 MediaKit（复用模块内 _sign_media_url，避免对 LipsyncService 的耦合）
-        audio_url = _sign_media_url(job.audio_url)
-        video_url = _sign_media_url(job.video_url)
-
-        client = get_mediakit_client()
-        try:
-            mk_result = client.submit_lipsync(
-                video_url=video_url,
-                audio_url=audio_url,
-                enable_video_loop=job.enable_video_loop,
-                client_token=job_id,
-            )
-            job.mediakit_task_id = mk_result["task_id"]
-            job.status = "submitted"
-            job.submitted_at = datetime.now(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)
-
-        # 三层防御 ③：链式触发 Celery 兜底轮询——MediaKit 提交成功后由 worker
-        # 主动拉取状态到终态，不依赖前端轮询触发的 FastAPI background task
-        # （background task 可能静默失败导致永久卡 running）。
-        if job.status == "submitted" and job.mediakit_task_id:
-            try:
-                poll_mediakit_status.apply_async(
-                    kwargs={"job_id": job_id, "user_id": user_id},
-                    countdown=10,  # 10 秒后开始轮询，给 MediaKit 一点处理时间
-                )
-            except Exception as exc:  # noqa: BLE001
-                logger.warning("[lipsync_tts] 提交兜底轮询任务失败（不影响主流程）: 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(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(
-    bind=True,
-    name="lipsync_tts.poll_mediakit_status",
-    max_retries=60,  # 最多轮询 60 次
-    default_retry_delay=10,  # 每次间隔 10 秒（总兜底时长 10 分钟）
-)
-def poll_mediakit_status(self, job_id: str, user_id: str):
-    """Celery 兜底轮询：TTS 提交 MediaKit 后，由 worker 主动拉取状态直到终态。
-
-    不依赖前端轮询，避免 background task 静默失败导致任务永久卡 running/submitted。
-    """
-    from sqlalchemy.orm import Session as DBSession
-
-    from packages.adapters.sqlalchemy_impl.models import LipsyncJobModel
-
-    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:
-            logger.warning("[lipsync_poll] Job not found: job_id=%s", job_id)
-            return
-
-        # 已终态，不需要再轮询
-        if job.status in ("completed", "failed", "cancelled"):
-            return
-
-        if not job.mediakit_task_id:
-            logger.warning("[lipsync_poll] Job has no mediakit_task_id: job_id=%s status=%s", job_id, job.status)
-            return
-
-        from app.services.lipsync_service import STATUS_COMPLETED as _SC
-        from app.services.lipsync_service import STATUS_FAILED as _SF
-        from app.services.lipsync_service import LipsyncService
-        from app.services.mediakit_client import MediaKitError, get_mediakit_client
-
-        client = get_mediakit_client()
-        try:
-            status_data = client.get_task_status(job.mediakit_task_id)
-        except MediaKitError as exc:
-            logger.warning("[lipsync_poll] 拉取 MediaKit 状态失败，将重试: job_id=%s err=%s", job_id, exc)
-            raise self.retry(exc=exc) from exc
-
-        mk_status = status_data.get("status", "running")
-
-        if mk_status in ("succeeded", _SC):
-
-            svc = LipsyncService(db)
-            result = status_data.get("result", {})
-            job.status = "completed"
-            output_url = result.get("video_url", "")
-            try:
-                job.output_video_url = svc._persist_output_video(output_url, job_id, user_id)
-            except Exception as exc:  # noqa: BLE001
-                logger.warning("[lipsync_poll] 转存 OSS 失败，保留临时 URL: job_id=%s err=%s", job_id, exc)
-                job.output_video_url = output_url
-            job.output_duration = result.get("duration", 0.0)
-            job.completed_at = datetime.now(UTC)
-            job.updated_at = datetime.now(UTC)
-            db.commit()
-            logger.info("[lipsync_poll] 任务完成: job_id=%s", job_id)
-        elif mk_status in ("failed", "error", _SF):
-            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(UTC)
-            job.updated_at = datetime.now(UTC)
-            db.commit()
-            logger.info("[lipsync_poll] 任务失败: job_id=%s err=%s", job_id, job.error_message)
-        else:
-            # 中间状态，更新时间戳，继续重试
-            job.updated_at = datetime.now(UTC)
-            if isinstance(mk_status, str) and mk_status:
-                job.status = mk_status
-            db.commit()
-            logger.debug("[lipsync_poll] 任务仍在 %s，继续轮询: job_id=%s", mk_status, job_id)
-            raise self.retry()
-    except Exception as exc:
-        logger.exception("[lipsync_poll] 未预期异常: job_id=%s", job_id)
-        try:
-            db.rollback()
-        except Exception:
-            pass
-        raise self.retry(exc=exc) from exc
-    finally:
-        db.close()
-
-
-@shared_task(
-    name="lipsync_tts.persist_output_video",
-    max_retries=2,
-    default_retry_delay=30,
-)
-def persist_output_video_task(job_id: str, user_id: str, temp_url: str):
-    """异步转存对口型输出视频到自家 OSS（步骤⑦ — 将同步阻塞挪到后台，加速前端响应）."""
-
-    try:
-        from worker_app.db import SessionLocal  # type: ignore
-    except Exception:  # noqa: BLE001
-        from app.db import SessionLocal  # type: ignore
-
-    from packages.adapters.sqlalchemy_impl.models import LipsyncJobModel
-    from packages.shared.storage import get_shared_storage_service
-
-    db = SessionLocal()
-    try:
-        job = db.query(LipsyncJobModel).filter(LipsyncJobModel.id == job_id, LipsyncJobModel.user_id == user_id).first()
-        if job is None:
-            logger.error("[lipsync_tts.persist] Job not found: job_id=%s", job_id)
-            return
-
-        if not temp_url:
-            logger.warning("[lipsync_tts.persist] temp_url 为空，跳过转存: job_id=%s", job_id)
-            return
-
-        try:
-            import httpx
-
-            with httpx.Client(timeout=180.0, follow_redirects=True) as client:
-                resp = client.get(temp_url)
-                resp.raise_for_status()
-                data = resp.content
-
-            storage = get_shared_storage_service()
-            storage_key = f"lipsync-outputs/{user_id}/{job_id}.mp4"
-            permanent_url = storage.upload_file(io.BytesIO(data), storage_key, content_type="video/mp4")
-            final_url = _sign_media_url(permanent_url) if permanent_url else temp_url
-            job.output_video_url = final_url
-            job.updated_at = datetime.now(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/e2e/core-generation.spec.ts

@@ -40,6 +40,7 @@ async function loginWithRetry(
 
 type ProjectResponse = { id: string }
 type LibraryResponse = { id: string }
+type TemplateResponse = { id: string }
 type AssetListResponse = {
   items: Array<{
     id: string
@@ -125,17 +126,28 @@ test.describe("Core generation flow", () => {
       )
       .toBe("ready")
 
-    // #1926 P0 fix: POST /templates CRUD endpoint removed; GET /templates
-    // now auto-creates a default template for new users. Use the first one.
-    const templatesResp = await request.get(`${apiBase}/templates`, { headers })
-    expect(templatesResp.status(), await templatesResp.text()).toBe(200)
-    const templatesData = (await templatesResp.json()) as {
-      items: Array<{ id: string }>
-    }
-    expect(Array.isArray(templatesData.items)).toBe(true)
-    expect(templatesData.items.length).toBeGreaterThan(0)
-    const templateId = templatesData.items[0].id
-    expect(templateId).toBeTruthy()
+    // Create an editing template so the generate page has at least one template
+    // (templates are now loaded from API; new users have none by default)
+    const template = await request.post(`${apiBase}/templates`, {
+      headers,
+      data: {
+        name: `E2E 测试模板 ${suffix}`,
+        mode: "pip",
+        estimated_duration: 30,
+        segments: [
+          {
+            segment_order: 1,
+            duration_min: 5,
+            duration_max: 30,
+            material_type: "video",
+          },
+        ],
+        tags: ["e2e"],
+      },
+    })
+    expect(template.status(), await template.text()).toBe(201)
+    const templateData = (await template.json()) as TemplateResponse
+    expect(templateData.id).toBeTruthy()
 
     // Set auth in localStorage
     await page.addInitScript(

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

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

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

@@ -1,477 +0,0 @@
-/**
- * 积分 & 会员 API 封装（v2 两档会员制）
- * 后端接口未就绪阶段使用 mock 数据；接口就绪后把 MOCK 开关关掉即可。
- */
-import apiClient from "../client"
-import type {
-  PointsBalance,
-  PointsTransaction,
-  PointsTransactionsParams,
-  PointsTransactionsResponse,
-  PointsPackagesResponse,
-  PointsRechargeRequest,
-  PointsOrder,
-  PointsRulesResponse,
-  PointsCheckRequest,
-  PointsCheckResponse,
-  SubscriptionCurrent,
-  SubscribeRequest,
-  SubscriptionPlan,
-} from "./types"
-
-/**
- * 是否启用 mock 数据（后端 PR 合入前为 true；对接真实接口后改为 false）
- */
-export const POINTS_API_MOCK = true
-
-// ==================== Mock 数据 ====================
-const MOCK_BALANCE: PointsBalance = {
-  balance: 580,
-  total_earned: 1200,
-  total_spent: 620,
-  is_member: false,
-  member_type: null,
-  member_expires_at: null,
-  free_clips_used: 1,
-  free_clips_limit: 2,
-  free_clips_remaining: 1,
-}
-
-const MOCK_PACKAGES: PointsPackagesResponse = {
-  packages: [
-    {
-      id: "starter_pack",
-      name: "体验包",
-      points: 100,
-      price: 990,
-      discounted_price_for_free: 990,
-      discounted_price_for_monthly: 891,
-      discounted_price_for_quarterly: 861,
-      discounted_price_for_yearly: 792,
-    },
-    {
-      id: "basic_pack",
-      name: "基础包",
-      points: 500,
-      price: 3900,
-      discounted_price_for_free: 3900,
-      discounted_price_for_monthly: 3510,
-      discounted_price_for_quarterly: 3393,
-      discounted_price_for_yearly: 3120,
-    },
-    {
-      id: "pro_pack",
-      name: "专业包",
-      points: 2000,
-      price: 12900,
-      discounted_price_for_free: 12900,
-      discounted_price_for_monthly: 11610,
-      discounted_price_for_quarterly: 11223,
-      discounted_price_for_yearly: 10320,
-    },
-  ],
-  user_member_type: "free",
-  unit_price_yuan: 0.1,
-}
-
-const MOCK_RULES: PointsRulesResponse = {
-  rules: [
-    {
-      scene_key: "ai_voice",
-      scene_name: "AI 配音",
-      points_per_use: 1,
-      unit: "分钟",
-      description: "每生成 1 分钟配音",
-    },
-    {
-      scene_key: "ai_video",
-      scene_name: "智能混剪",
-      points_per_use: 3,
-      unit: "条",
-      extra_per_30s: 1,
-      description: "每条 ≤30s 3 积分，每加 30s +1",
-    },
-    {
-      scene_key: "ai_digital_human",
-      scene_name: "AI 数字人",
-      points_per_use: 15,
-      unit: "分钟",
-      description: "每生成 1 分钟口播",
-    },
-    {
-      scene_key: "voice_clone_train",
-      scene_name: "声音克隆训练",
-      points_per_use: 0,
-      unit: "次",
-      description: "训练免费",
-    },
-    { scene_key: "voice_clone_synth", scene_name: "声音克隆合成", points_per_use: 1, unit: "分钟" },
-    { scene_key: "douyin_extract", scene_name: "抖音链接提取", points_per_use: 1, unit: "次" },
-    { scene_key: "ai_rewrite", scene_name: "AI 改写文案", points_per_use: 1, unit: "次" },
-    { scene_key: "ai_title", scene_name: "AI 标题生成", points_per_use: 1, unit: "次" },
-    { scene_key: "ai_cover", scene_name: "AI 封面生成", points_per_use: 1, unit: "张" },
-  ],
-  free_user_multiplier: 1.15,
-  note: "免费用户消耗 = 会员消耗 × 1.15，向上取整",
-}
-
-function genMockTransactions(): PointsTransactionsResponse {
-  const now = new Date()
-  const list = [
-    {
-      src: "ai_voice",
-      name: "AI 配音",
-      type: "spend" as const,
-      amt: 1,
-      desc: "生成配音 1 分钟",
-      days: 0,
-      hours: 0,
-      mins: 30,
-    },
-    {
-      src: "ai_video",
-      name: "智能混剪",
-      type: "spend" as const,
-      amt: 5,
-      desc: "生成 1 分钟视频（基础3+30s*2）",
-      days: 0,
-      hours: 1,
-      mins: 15,
-    },
-    {
-      src: "task_reward",
-      name: "任务奖励",
-      type: "earn" as const,
-      amt: 20,
-      desc: "首次生成视频奖励",
-      days: 1,
-      hours: 0,
-      mins: 0,
-    },
-    {
-      src: "recharge",
-      name: "充值",
-      type: "earn" as const,
-      amt: 500,
-      desc: "基础包充值",
-      days: 15,
-      hours: 0,
-      mins: 0,
-    },
-    {
-      src: "ai_rewrite",
-      name: "AI 改写文案",
-      type: "spend" as const,
-      amt: 2,
-      desc: "免费用户价（1×1.15 向上取整）",
-      days: 16,
-      hours: 2,
-      mins: 10,
-    },
-    {
-      src: "ai_title",
-      name: "AI 标题生成",
-      type: "spend" as const,
-      amt: 2,
-      desc: "免费用户价",
-      days: 16,
-      hours: 3,
-      mins: 0,
-    },
-    {
-      src: "douyin_extract",
-      name: "抖音链接提取",
-      type: "spend" as const,
-      amt: 2,
-      desc: "提取 3 分钟文案",
-      days: 18,
-      hours: 0,
-      mins: 0,
-    },
-    {
-      src: "ai_digital_human",
-      name: "AI 数字人",
-      type: "spend" as const,
-      amt: 18,
-      desc: "数字人口播 1 分钟（免费用户价）",
-      days: 20,
-      hours: 0,
-      mins: 0,
-    },
-    {
-      src: "task_reward",
-      name: "任务奖励",
-      type: "earn" as const,
-      amt: 50,
-      desc: "注册赠送",
-      days: 30,
-      hours: 0,
-      mins: 0,
-    },
-  ]
-  let bal = MOCK_BALANCE.balance
-  const items = list
-    .map((t, i) => {
-      const signed = t.type === "earn" ? t.amt : -t.amt
-      const balance_after = bal // 按时间倒序：earliest 先算
-      // adjust running bal
-      bal = t.type === "earn" ? bal - t.amt : bal + t.amt
-      const d = new Date(now)
-      d.setDate(d.getDate() - t.days)
-      d.setHours(d.getHours() - t.hours)
-      d.setMinutes(d.getMinutes() - t.mins)
-      return {
-        id: `tx_${i + 1}`,
-        type: t.type,
-        source: t.src as PointsBalance extends never ? never : string,
-        source_name: t.name,
-        amount: t.amt,
-        signed_amount: signed,
-        balance_after,
-        description: t.desc,
-        ref_id: null,
-        created_at: d.toISOString(),
-      }
-    })
-    .reverse()
-  // Rebuild balance_after going forward
-  let running = 50 + 0 // after registration gift
-  for (let i = items.length - 1; i >= 0; i--) {
-    const it = items[i] as PointsTransaction & { balance_after?: number }
-    if (it.source === "task_reward" && it.description.includes("注册")) running = 50
-  }
-  running = 50
-  const fwd = [...items].reverse() as Array<PointsTransaction & { balance_after?: number }>
-  for (const it of fwd) {
-    running += it.signed_amount
-    it.balance_after = running
-  }
-  return { items: fwd, total: fwd.length, page: 1, page_size: 20 } as PointsTransactionsResponse
-}
-
-// ==================== 真实 API ====================
-
-/** 查询积分余额 + 会员状态 */
-export async function getPointsBalance(): Promise<PointsBalance> {
-  if (POINTS_API_MOCK) {
-    return new Promise((r) => setTimeout(() => r({ ...MOCK_BALANCE }), 180))
-  }
-  const res = await apiClient.get("/points/balance")
-  return res.data
-}
-
-/** 查询积分流水（分页） */
-export async function getPointsTransactions(
-  params: PointsTransactionsParams = {},
-): Promise<PointsTransactionsResponse> {
-  if (POINTS_API_MOCK) {
-    return new Promise((r) => setTimeout(() => r(genMockTransactions()), 200))
-  }
-  const res = await apiClient.get("/points/transactions", { params })
-  return res.data
-}
-
-/** 查询积分包列表 */
-export async function getPointsPackages(): Promise<PointsPackagesResponse> {
-  if (POINTS_API_MOCK) {
-    return new Promise((r) => setTimeout(() => r({ ...MOCK_PACKAGES }), 150))
-  }
-  const res = await apiClient.get("/points/packages")
-  return res.data
-}
-
-/** 创建积分充值订单（mock 阶段返回 "pending" 订单，前端弹"支付开发中"） */
-export async function createPointsOrder(req: PointsRechargeRequest): Promise<PointsOrder> {
-  if (POINTS_API_MOCK) {
-    const pkg = MOCK_PACKAGES.packages.find((p) => p.id === req.package_id)
-    const mt = MOCK_PACKAGES.user_member_type
-    type DiscountKey =
-      | "discounted_price_for_free"
-      | "discounted_price_for_monthly"
-      | "discounted_price_for_quarterly"
-      | "discounted_price_for_yearly"
-    const discountKey = `discounted_price_for_${mt}` as DiscountKey
-    const price = pkg?.[discountKey] ?? pkg?.price ?? 0
-    return new Promise((r) =>
-      setTimeout(
-        () =>
-          r({
-            id: `mock_order_${Date.now()}`,
-            package_id: req.package_id,
-            package_name: pkg?.name ?? "",
-            points_amount: pkg?.points ?? 0,
-            price_cents: price,
-            original_price_cents: pkg?.price ?? 0,
-            discount: price / (pkg?.price || 1),
-            currency: "CNY",
-            status: "pending",
-            payment_method: null,
-            payment_id: null,
-            paid_at: null,
-            expire_at: null,
-            created_at: new Date().toISOString(),
-          }),
-        300,
-      ),
-    )
-  }
-  const res = await apiClient.post("/points/recharge", req)
-  return res.data
-}
-
-/** 查询积分消耗规则 */
-export async function getPointsRules(): Promise<PointsRulesResponse> {
-  if (POINTS_API_MOCK) {
-    return new Promise((r) => setTimeout(() => r({ ...MOCK_RULES }), 120))
-  }
-  const res = await apiClient.get("/points/rules")
-  return res.data
-}
-
-/** 消费前余额预检查 */
-export async function checkPoints(req: PointsCheckRequest): Promise<PointsCheckResponse> {
-  if (POINTS_API_MOCK) {
-    const rule = MOCK_RULES.rules.find((r) => r.scene_key === req.scene_key)
-    if (!rule) {
-      return {
-        allowed: false,
-        required_points: 0,
-        current_balance: MOCK_BALANCE.balance,
-        remaining_after: MOCK_BALANCE.balance,
-        is_free_quota: false,
-        code: "SCENE_NOT_FOUND",
-        message: "未知场景",
-        recharge_url: "/app/points",
-      }
-    }
-    const units = req.units ?? 1
-    let base = rule.points_per_use * units
-    if (rule.extra_per_30s && units > 1) {
-      // ai_video extra_per_30s: base already covers first 30s, subtract
-      base = rule.points_per_use + rule.extra_per_30s * (units - 1)
-    }
-    const isFree =
-      MOCK_BALANCE.is_member === false &&
-      req.scene_key === "ai_video" &&
-      (MOCK_BALANCE.free_clips_remaining ?? 0) > 0
-    const needed = isFree
-      ? 0
-      : MOCK_BALANCE.is_member
-        ? base
-        : Math.ceil(base * MOCK_RULES.free_user_multiplier)
-    const allowed = isFree || MOCK_BALANCE.balance >= needed
-    return {
-      allowed,
-      required_points: needed,
-      current_balance: MOCK_BALANCE.balance,
-      remaining_after: MOCK_BALANCE.balance - needed,
-      is_free_quota: isFree,
-      code: allowed ? undefined : "INSUFFICIENT_POINTS",
-      message: allowed
-        ? undefined
-        : `积分不足，需要 ${needed} 积分，当前余额 ${MOCK_BALANCE.balance}`,
-      recharge_url: "/app/points",
-    }
-  }
-  const res = await apiClient.post("/points/check", req)
-  return res.data
-}
-
-// ==================== 订阅相关 ====================
-
-/** 订阅套餐（定价常量，前端硬编码；折扣由后端会员类型决定） */
-export const SUBSCRIPTION_PLANS: SubscriptionPlan[] = [
-  {
-    id: "monthly",
-    name: "月卡",
-    price_cents: 1990,
-    price_yuan: 19.9,
-    per_month_yuan: 19.9,
-    billing_label: "/月",
-  },
-  {
-    id: "quarterly",
-    name: "季卡",
-    price_cents: 3990,
-    price_yuan: 39.9,
-    per_month_yuan: 13.3,
-    savings_percent: 33,
-    recommended: true,
-    billing_label: "/季",
-  },
-  {
-    id: "yearly",
-    name: "年卡",
-    price_cents: 15900,
-    price_yuan: 159,
-    per_month_yuan: 13.25,
-    savings_percent: 33,
-    billing_label: "/年",
-  },
-]
-
-/** 查询当前订阅 */
-export async function getCurrentSubscription(): Promise<SubscriptionCurrent> {
-  if (POINTS_API_MOCK) {
-    return new Promise((r) =>
-      setTimeout(
-        () =>
-          r({
-            is_member: MOCK_BALANCE.is_member,
-            member_type: MOCK_BALANCE.member_type,
-            member_type_name: MOCK_BALANCE.is_member ? "付费会员" : "免费会员",
-            status: MOCK_BALANCE.is_member ? "active" : "none",
-            current_period_start: null,
-            current_period_end: MOCK_BALANCE.member_expires_at,
-            auto_renew: false,
-            points_discount: MOCK_BALANCE.is_member ? 0.9 : 1.0,
-          }),
-        150,
-      ),
-    )
-  }
-  const res = await apiClient.get("/subscription/current")
-  return res.data
-}
-
-/** 开通/续费会员 */
-export async function subscribe(req: SubscribeRequest): Promise<PointsOrder> {
-  if (POINTS_API_MOCK) {
-    const plan = SUBSCRIPTION_PLANS.find((p) => p.id === req.member_type)!
-    return new Promise((r) =>
-      setTimeout(
-        () =>
-          r({
-            id: `mock_sub_${Date.now()}`,
-            package_id: plan.id,
-            package_name: plan.name,
-            points_amount: 0,
-            price_cents: plan.price_cents,
-            original_price_cents: plan.price_cents,
-            discount: 1,
-            currency: "CNY",
-            status: "pending",
-            payment_method: null,
-            payment_id: null,
-            paid_at: null,
-            expire_at: null,
-            created_at: new Date().toISOString(),
-          }),
-        300,
-      ),
-    )
-  }
-  const res = await apiClient.post("/subscription/subscribe", req)
-  return res.data
-}
-
-/** 取消自动续费 */
-export async function cancelAutoRenew(): Promise<{ success: boolean; message: string }> {
-  if (POINTS_API_MOCK) {
-    return new Promise((r) =>
-      setTimeout(() => r({ success: true, message: "已取消自动续费" }), 200),
-    )
-  }
-  const res = await apiClient.post("/subscription/cancel")
-  return res.data
-}

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

@@ -1,217 +0,0 @@
-/**
- * 积分 & 会员系统 API 类型定义（v2 两档会员制）
- * 接口契约对齐后端设计文档 membership-points-design-v2.md
- */
-
-/** 会员类型 */
-export type MemberType = "free" | "monthly" | "quarterly" | "yearly"
-
-/** 积分流水类型 */
-export type PointsTxType = "earn" | "spend" | "refund"
-
-/** 积分来源/消耗场景 */
-export type PointsSource =
-  | "recharge" // 充值
-  | "task_reward" // 任务奖励
-  | "ai_voice" // AI 配音
-  | "ai_digital_human" // AI 数字人
-  | "ai_video" // 智能混剪
-  | "voice_clone_train" // 声音克隆训练
-  | "voice_clone_synth" // 声音克隆合成
-  | "douyin_extract" // 抖音链接提取
-  | "ai_rewrite" // AI 改写文案
-  | "ai_title" // AI 标题生成
-  | "ai_cover" // AI 封面生成
-  | "subscription_bonus" // 会员赠送
-  | "admin_adjust" // 管理员调整
-  | "refund" // 失败退还
-
-/** 会员 & 积分余额响应 */
-export interface PointsBalance {
-  /** 当前可用积分 */
-  balance: number
-  /** 累计获得 */
-  total_earned: number
-  /** 累计消耗 */
-  total_spent: number
-  /** 是否付费会员（free 用户为 false） */
-  is_member: boolean
-  /** 会员类型：monthly / quarterly / yearly；free 用户为 null */
-  member_type: Extract<MemberType, "monthly" | "quarterly" | "yearly"> | null
-  /** 会员到期时间 ISO 字符串 */
-  member_expires_at: string | null
-  /** 今日免费混剪已用次数 */
-  free_clips_used?: number
-  /** 今日免费混剪额度上限 */
-  free_clips_limit?: number
-  /** 今日免费混剪剩余 */
-  free_clips_remaining?: number
-}
-
-/** 积分流水记录 */
-export interface PointsTransaction {
-  id: string
-  /** earn / spend / refund */
-  type: PointsTxType
-  /** 来源场景 */
-  source: PointsSource
-  /** 场景中文名称 */
-  source_name: string
-  /** 变动数量（正数） */
-  amount: number
-  /** 带符号的变动数（收入+，支出-） */
-  signed_amount: number
-  /** 变动后余额 */
-  balance_after: number
-  /** 备注描述 */
-  description: string
-  /** 关联业务 ID */
-  ref_id: string | null
-  created_at: string
-}
-
-/** 积分流水分页响应 */
-export interface PointsTransactionsResponse {
-  items: PointsTransaction[]
-  total: number
-  page: number
-  page_size: number
-}
-
-/** 积分流水查询参数 */
-export interface PointsTransactionsParams {
-  page?: number
-  page_size?: number
-  type?: PointsTxType
-  source?: PointsSource
-  start_date?: string
-  end_date?: string
-}
-
-/** 积分包 */
-export interface PointsPackage {
-  id: "starter_pack" | "basic_pack" | "pro_pack" | string
-  /** 中文名称 */
-  name: string
-  /** 积分数量 */
-  points: number
-  /** 原价（分） */
-  price: number
-  /** 各会员类型折扣价（分） */
-  discounted_price_for_free: number
-  discounted_price_for_monthly: number
-  discounted_price_for_quarterly: number
-  discounted_price_for_yearly: number
-}
-
-/** 积分包列表响应 */
-export interface PointsPackagesResponse {
-  packages: PointsPackage[]
-  /** 当前用户会员类型，用于前端计算折后价 */
-  user_member_type: MemberType
-  /** 积分单价（元/积分，按会员价计） */
-  unit_price_yuan: number
-}
-
-/** 创建充值订单请求 */
-export interface PointsRechargeRequest {
-  package_id: string
-  payment_method?: "wechat_pay" | "alipay"
-}
-
-/** 订单状态 */
-export type OrderStatus = "pending" | "paid" | "failed" | "refunded" | "expired"
-
-/** 充值订单响应 */
-export interface PointsOrder {
-  id: string
-  package_id: string
-  package_name: string
-  points_amount: number
-  price_cents: number
-  original_price_cents: number
-  discount: number
-  currency: "CNY"
-  status: OrderStatus
-  payment_method: string | null
-  payment_id: string | null
-  paid_at: string | null
-  expire_at: string | null
-  created_at: string
-  /** 微信/支付宝支付参数（mock 阶段前端自行处理） */
-  pay_params?: Record<string, string>
-}
-
-/** 订阅套餐（月/季/年） */
-export interface SubscriptionPlan {
-  id: "monthly" | "quarterly" | "yearly"
-  name: string
-  price_cents: number
-  price_yuan: number
-  per_month_yuan: number
-  savings_percent?: number
-  recommended?: boolean
-  billing_label: string
-}
-
-/** 当前订阅详情 */
-export interface SubscriptionCurrent {
-  is_member: boolean
-  member_type: Extract<MemberType, "monthly" | "quarterly" | "yearly"> | null
-  member_type_name: string
-  status: "active" | "expired" | "cancelled" | "none"
-  current_period_start: string | null
-  current_period_end: string | null
-  auto_renew: boolean
-  /** 订阅会员对应的积分折扣 */
-  points_discount: number
-}
-
-/** 开通/续费订阅请求 */
-export interface SubscribeRequest {
-  member_type: "monthly" | "quarterly" | "yearly"
-  payment_method?: "wechat_pay" | "alipay"
-}
-
-/** 积分消耗规则 */
-export interface PointsRule {
-  scene_key: PointsSource
-  scene_name: string
-  /** 每次消耗基础积分（会员价） */
-  points_per_use: number
-  /** 计量单位：条/分钟/次/张 */
-  unit: string
-  /** 额外每 30s 加积分（ai_video 用） */
-  extra_per_30s?: number
-  /** 说明文案 */
-  description?: string
-}
-
-export interface PointsRulesResponse {
-  rules: PointsRule[]
-  /** 免费用户消耗倍率 */
-  free_user_multiplier: number
-  note: string
-}
-
-/** 消费前余额检查请求 */
-export interface PointsCheckRequest {
-  scene_key: PointsSource
-  /** 单位数量（时长/条数），默认 1 */
-  units?: number
-}
-
-/** 消费前余额检查响应 */
-export interface PointsCheckResponse {
-  allowed: boolean
-  required_points: number
-  current_balance: number
-  remaining_after: number
-  /** 是否走免费额度（混剪场景） */
-  is_free_quota: boolean
-  /** 拒绝原因代码 */
-  code?: "INSUFFICIENT_POINTS" | "FREE_QUOTA_EXCEEDED" | "SCENE_NOT_FOUND"
-  message?: string
-  /** 充值页跳转 URL */
-  recharge_url?: string
-}

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（分页：page/page_size，返回 {items, total, page, page_size}）
+ * 后端实际接口：/videos
  */
 import apiClient from "../client"
 import type {
@@ -12,39 +12,16 @@ import type {
 } from "./types"
 import { mapVideoToProductItem } from "./utils"
 
-/** 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)
 }
 
 /** 获取单个成品详情 */

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

@@ -1,3 +0,0 @@
-export * from "./scripts"
-export * from "./types"
-export * from "./scripts-ai"

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

@@ -1,87 +0,0 @@
-/**
- * 文案库 AI 能力 API（#1893）
- * 三个端点均走真实后端，不参与 SCRIPTS_API_MOCK 开关。
- */
-import apiClient from "../client"
-
-/** ── 1. 从抖音视频提取文案（下载 + ASR） */
-export interface ExtractFromDouyinRequest {
-  url: string
-}
-export interface ExtractFromDouyinResponse {
-  text: string
-  duration_seconds?: number
-  source_url?: string
-}
-
-export async function extractScriptFromDouyin(
-  body: ExtractFromDouyinRequest,
-  opts?: { signal?: AbortSignal },
-): Promise<ExtractFromDouyinResponse> {
-  const res = await apiClient.post<ExtractFromDouyinResponse>(
-    "/scripts/extract-from-douyin",
-    body,
-    {
-      // ASR 可能较慢，给足超时
-      timeout: 60_000,
-      signal: opts?.signal,
-    },
-  )
-  return res.data
-}
-
-/** ── 2. AI 改写文案 */
-export type RewriteStyle = "口语化" | "正式" | "活泼" | "治愈" | "励志"
-
-export const REWRITE_STYLE_OPTIONS: { value: RewriteStyle; label: string }[] = [
-  { value: "口语化", label: "口语化" },
-  { value: "正式", label: "正式" },
-  { value: "活泼", label: "活泼" },
-  { value: "治愈", label: "治愈" },
-  { value: "励志", label: "励志" },
-]
-
-export interface AiRewriteRequest {
-  content: string
-  style?: RewriteStyle
-}
-export interface AiRewriteResponse {
-  original: string
-  rewritten: string
-  style: RewriteStyle
-}
-
-export async function aiRewriteScript(
-  body: AiRewriteRequest,
-  opts?: { signal?: AbortSignal },
-): Promise<AiRewriteResponse> {
-  const res = await apiClient.post<AiRewriteResponse>("/scripts/ai-rewrite", body, {
-    timeout: 60_000,
-    signal: opts?.signal,
-  })
-  return res.data
-}
-
-/** ── 3. AI 生成标题 */
-export interface AiGenerateTitlesRequest {
-  content: string
-  count?: number
-}
-export interface AiGenerateTitlesResponse {
-  titles: string[]
-}
-
-export async function aiGenerateTitles(
-  body: AiGenerateTitlesRequest,
-  opts?: { signal?: AbortSignal },
-): Promise<AiGenerateTitlesResponse> {
-  const res = await apiClient.post<AiGenerateTitlesResponse>(
-    "/scripts/ai-generate-titles",
-    { content: body.content, count: body.count ?? 3 },
-    {
-      timeout: 30_000,
-      signal: opts?.signal,
-    },
-  )
-  return res.data
-}

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

@@ -1,195 +0,0 @@
-/**
- * 文案库 API（#1811 v2）
- * CRUD + 搜索/分类/分页；后端未就绪时使用 mock 数据（SCRIPTS_API_MOCK=true）
- */
-import apiClient from "../client"
-import type {
-  ScriptItem,
-  ScriptListParams,
-  ScriptListResponse,
-  ScriptUpsertRequest,
-  ScriptCategory,
-} from "./types"
-
-/** 是否启用 mock（后端合入后改为 false） */
-export const SCRIPTS_API_MOCK = true
-
-// ==================== Mock 数据 ====================
-
-const MOCK_CATEGORIES: ScriptCategory[] = [
-  "promo",
-  "vlog",
-  "knowledge",
-  "story",
-  "emotion",
-  "other",
-]
-
-const SAMPLE_TITLES: Record<ScriptCategory, string[]> = {
-  promo: ["新品上市限时特惠", "618大促开场", "品牌故事宣传片"],
-  vlog: ["周末citywalk记录", "打工人的一天", "探店vlog"],
-  knowledge: ["3分钟学会XX", "冷知识科普", "行业深度解读"],
-  story: ["励志小故事", "情感故事一则", "反转剧情"],
-  emotion: ["深夜emo时刻", "治愈系文案", "朋友圈金句"],
-  other: ["通用开场白", "节日祝福", "万能结尾"],
-}
-
-const SAMPLE_TAGS = ["热门", "新品", "节日", "情感", "干货", "搞笑", "治愈", "励志"]
-
-function genMockScripts(): ScriptItem[] {
-  const items: ScriptItem[] = []
-  const now = Date.now()
-  let idx = 0
-  for (const cat of MOCK_CATEGORIES) {
-    const titles = SAMPLE_TITLES[cat]
-    for (let i = 0; i < titles.length; i++) {
-      idx++
-      const title = titles[i]
-      const content = `这是一条【${cat}】分类下的示例文案，标题为「${title}」。\n\n正文可以包含多段落，每段对应一个片段（segments）。\n\n此为 mock 数据，后端接口就绪后会自动切换为真实数据。`
-      const segments = content.split(/\n\n+/).filter(Boolean)
-      const tagCount = 1 + (idx % 3)
-      const tags: string[] = []
-      for (let t = 0; t < tagCount; t++) {
-        tags.push(SAMPLE_TAGS[(idx + t) % SAMPLE_TAGS.length])
-      }
-      items.push({
-        id: `mock_${idx}`,
-        title,
-        content,
-        segments,
-        tags,
-        title_text: title,
-        title_category: cat,
-        title_config: {
-          font: "default",
-          color: "#ffffff",
-          stroke: "#000000",
-          position: (["top", "center", "bottom"] as const)[idx % 3],
-          size: 48,
-          bold: idx % 2 === 0,
-          italic: false,
-        },
-        char_count: content.length,
-        use_count: Math.floor(Math.random() * 50),
-        created_at: new Date(now - idx * 86400_000 * 2).toISOString(),
-        updated_at: new Date(now - idx * 86400_000).toISOString(),
-      })
-    }
-  }
-  return items
-}
-
-const MOCK_SCRIPTS = genMockScripts()
-
-// ==================== 真实 API ====================
-
-/** 获取文案列表（支持分页/搜索/分类） */
-export async function getScripts(params: ScriptListParams = {}): Promise<ScriptListResponse> {
-  if (SCRIPTS_API_MOCK) {
-    const page = params.page ?? 1
-    const pageSize = params.page_size ?? 20
-    let items = [...MOCK_SCRIPTS]
-    if (params.keyword) {
-      const kw = params.keyword.toLowerCase()
-      items = items.filter(
-        (s) => s.title.toLowerCase().includes(kw) || s.content.toLowerCase().includes(kw),
-      )
-    }
-    if (params.category && params.category !== "all") {
-      items = items.filter((s) => s.title_category === params.category)
-    }
-    if (params.tag) {
-      items = items.filter((s) => s.tags?.includes(params.tag as string))
-    }
-    const total = items.length
-    const start = (page - 1) * pageSize
-    const pageItems = items.slice(start, start + pageSize)
-    return new Promise((r) =>
-      setTimeout(() => r({ items: pageItems, total, page, page_size: pageSize }), 200),
-    )
-  }
-  const res = await apiClient.get<ScriptListResponse>("/scripts", { params })
-  return res.data
-}
-
-/** 获取单条文案详情 */
-export async function getScript(id: string): Promise<ScriptItem> {
-  if (SCRIPTS_API_MOCK) {
-    const item = MOCK_SCRIPTS.find((s) => s.id === id)
-    return new Promise((r) => setTimeout(() => r(item ?? MOCK_SCRIPTS[0]), 120))
-  }
-  const res = await apiClient.get<ScriptItem>(`/scripts/${id}`)
-  return res.data
-}
-
-/** 新建文案 */
-export async function createScript(data: ScriptUpsertRequest): Promise<ScriptItem> {
-  if (SCRIPTS_API_MOCK) {
-    const segments =
-      data.segments && data.segments.length > 0
-        ? data.segments
-        : data.content.split(/\n\n+/).filter(Boolean)
-    const item: ScriptItem = {
-      id: `mock_${Date.now()}`,
-      ...data,
-      segments,
-      char_count: data.content.length,
-      use_count: 0,
-      tags: data.tags ?? [],
-      created_at: new Date().toISOString(),
-      updated_at: new Date().toISOString(),
-    }
-    MOCK_SCRIPTS.unshift(item)
-    return new Promise((r) => setTimeout(() => r(item), 200))
-  }
-  const res = await apiClient.post<ScriptItem>("/scripts", data)
-  return res.data
-}
-
-/** 更新文案 */
-export async function updateScript(id: string, data: ScriptUpsertRequest): Promise<ScriptItem> {
-  if (SCRIPTS_API_MOCK) {
-    const idx = MOCK_SCRIPTS.findIndex((s) => s.id === id)
-    const segments =
-      data.segments && data.segments.length > 0
-        ? data.segments
-        : data.content.split(/\n\n+/).filter(Boolean)
-    const updated: ScriptItem = {
-      ...MOCK_SCRIPTS[idx],
-      ...data,
-      segments,
-      char_count: data.content.length,
-      tags: data.tags ?? MOCK_SCRIPTS[idx]?.tags ?? [],
-      updated_at: new Date().toISOString(),
-    }
-    if (idx >= 0) MOCK_SCRIPTS[idx] = updated
-    return new Promise((r) => setTimeout(() => r(updated), 200))
-  }
-  const res = await apiClient.put<ScriptItem>(`/scripts/${id}`, data)
-  return res.data
-}
-
-/** 删除文案 */
-export async function deleteScript(id: string): Promise<void> {
-  if (SCRIPTS_API_MOCK) {
-    const idx = MOCK_SCRIPTS.findIndex((s) => s.id === id)
-    if (idx >= 0) MOCK_SCRIPTS.splice(idx, 1)
-    return new Promise((r) => setTimeout(r, 150))
-  }
-  await apiClient.delete(`/scripts/${id}`)
-}
-
-/** 复制文案（返回新副本） */
-export async function duplicateScript(id: string): Promise<ScriptItem> {
-  const orig = await getScript(id)
-  const copy = await createScript({
-    title: `${orig.title}（副本）`,
-    content: orig.content,
-    segments: orig.segments,
-    tags: orig.tags,
-    title_text: orig.title_text,
-    title_category: orig.title_category,
-    title_config: orig.title_config,
-  })
-  return copy
-}

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

@@ -1,97 +0,0 @@
-/**
- * 文案库 API — 类型定义（#1811 v2 完整字段版）
- * 字段对齐后端契约：title / content / segments / tags / title_text / title_category / title_config
- * 同时保留 char_count / use_count / timestamps 等展示字段
- */
-
-/** 标题配置（字体、颜色、位置、字号） */
-export interface ScriptTitleConfig {
-  /** 字体预设 key，如 "default" / "bold" / "handwritten" */
-  font?: string
-  /** 文字颜色（CSS color） */
-  color?: string
-  /** 描边色 */
-  stroke?: string
-  /** 位置：top / center / bottom */
-  position?: "top" | "center" | "bottom"
-  /** 字号（px） */
-  size?: number
-  /** 是否加粗 */
-  bold?: boolean
-  /** 是否斜体 */
-  italic?: boolean
-}
-
-/** 文案分类（可枚举，也支持自定义） */
-export type ScriptCategory =
-  | "promo" // 营销推广
-  | "vlog" // Vlog/日常
-  | "knowledge" // 知识科普
-  | "story" // 故事剧情
-  | "emotion" // 情感语录
-  | "other" // 其他
-
-export const SCRIPT_CATEGORY_LABEL: Record<ScriptCategory, string> = {
-  promo: "营销推广",
-  vlog: "Vlog 日常",
-  knowledge: "知识科普",
-  story: "故事剧情",
-  emotion: "情感语录",
-  other: "其他",
-}
-
-/** 文案条目 */
-export interface ScriptItem {
-  id: string
-  /** 名称（标题） */
-  title: string
-  /** 正文 */
-  content: string
-  /** 分段（按段落切分，供后端/生成步骤逐段使用） */
-  segments?: string[]
-  /** 标签（逗号分隔或数组，列表展示用 Tag） */
-  tags?: string[]
-  /** 配套标题文本（选填，"使用"跳创作页时会预填到标题） */
-  title_text?: string
-  /** 分类 */
-  title_category?: ScriptCategory
-  /** 标题样式配置（字体/颜色/位置/字号） */
-  title_config?: ScriptTitleConfig
-  /** 正文字符数（后端返回，前端用于展示） */
-  char_count?: number
-  /** 使用次数（后端返回） */
-  use_count?: number
-  created_at: string
-  updated_at?: string
-}
-
-/** 列表查询参数（支持搜索/分类/分页） */
-export interface ScriptListParams {
-  page?: number
-  page_size?: number
-  /** 标题/正文模糊搜索 */
-  keyword?: string
-  /** 分类筛选 */
-  category?: ScriptCategory | "all"
-  /** 标签筛选 */
-  tag?: string
-}
-
-/** 列表响应 */
-export interface ScriptListResponse {
-  items: ScriptItem[]
-  total: number
-  page: number
-  page_size: number
-}
-
-/** 创建/编辑请求 */
-export interface ScriptUpsertRequest {
-  title: string
-  content: string
-  segments?: string[]
-  tags?: string[]
-  title_text?: string
-  title_category?: ScriptCategory
-  title_config?: ScriptTitleConfig
-}

apps/web/src/api/template-editor/clips.ts

@@ -85,13 +85,9 @@ export async function batchDeleteEditPlanClips(
   return response.data
 }
 
-/**
- * 从素材批量创建片段（追加到时间线末尾）。
- * #1921 修复：templateId 为空时调用新端点 POST /clips/from-assets，避免拼出双斜杠
- * `/templates//editor/clips/from-assets` 导致 404；有 templateId 时保持原路径向后兼容。
- */
+/** 从素材批量创建片段（追加到时间线末尾） */
 export async function createClipsFromAssets(
-  templateId: string | undefined | null,
+  templateId: string,
   assetIds: string[],
   clipType = "main",
   requiredClipsCount?: number,
@@ -104,15 +100,16 @@ export async function createClipsFromAssets(
   if (requiredClipsCount !== undefined) {
     body.required_clips_count = requiredClipsCount
   }
-  // 新端点（#1921）：templateId 为空时，body 不传 template_id，由后端兜底创建默认模板
-  const hasTid = !!templateId
-  const url = hasTid ? `/templates/${templateId}/editor/clips/from-assets` : "/clips/from-assets"
   // from-assets 后端会调用 MediaKit 智能选片（最长 60s），单独延长超时
-  const response = await apiClient.post<ClipsFromAssetsResponse>(url, body, {
-    timeout: 60000,
-    signal: opts?.signal,
-    // _silentErrorToast 由 api/client.ts 响应拦截器读取（抑制全局错误 toast，#1777）
-    ...(opts?.silentErrorToast ? ({ _silentErrorToast: true } as Record<string, unknown>) : {}),
-  })
+  const response = await apiClient.post<ClipsFromAssetsResponse>(
+    `/templates/${templateId}/editor/clips/from-assets`,
+    body,
+    {
+      timeout: 60000,
+      signal: opts?.signal,
+      // _silentErrorToast 由 api/client.ts 响应拦截器读取（抑制全局错误 toast，#1777）
+      ...(opts?.silentErrorToast ? ({ _silentErrorToast: true } as Record<string, unknown>) : {}),
+    },
+  )
   return response.data
 }

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

@@ -16,7 +16,6 @@ export interface TTSSynthesizeRequest {
   voice_id?: string
   output_name?: string
   language?: string
-  emotion?: string
   speed?: number
   voice_model?: string
   voice_clone_profile_id?: string
@@ -104,8 +103,6 @@ export interface TTSPreviewRequest {
   voice_id: string
   speed?: number
   pitch?: number
-  language?: string
-  emotion?: string // 情绪参数：neutral/happy/sad/angry/surprised/fearful/disgusted（后端 normalize_emotion() 兼容旧 natural/excited/calm/friendly 与中文标签）
 }
 
 /** TTS 试听响应 */

apps/web/src/api/voice-clone/clones.ts

@@ -96,12 +96,9 @@ export const retryVoiceClone = async (id: string): Promise<VoiceCloneProfile> =>
 export const getVoiceClonePreview = async (
   cloneId: string,
   text?: string,
-  options?: { speed?: number; emotion?: string },
 ): Promise<VoiceClonePreviewResponse> => {
   const searchParams = new URLSearchParams()
   if (text) searchParams.set("text", text)
-  if (options?.speed !== undefined) searchParams.set("speed", String(options.speed))
-  if (options?.emotion) searchParams.set("emotion", options.emotion)
   const qs = searchParams.toString()
   const response = await apiClient.get<VoiceClonePreviewResponse>(
     `/voice-clones/${cloneId}/preview${qs ? `?${qs}` : ""}`,

apps/web/src/components/common/PointsBadge/PointsBadge.css

@@ -1,116 +0,0 @@
-/* Header 积分徽章 & Popover 样式 */
-.xx-points-badge {
-  display: inline-flex;
-  align-items: center;
-  gap: 6px;
-  padding: 5px 12px;
-  border-radius: 999px;
-  border: 1px solid var(--border-color, #e5e7eb);
-  background: var(--bg-tertiary, #fafafa);
-  color: var(--text-secondary, #6b7280);
-  font-size: 13px;
-  font-weight: 600;
-  cursor: pointer;
-  transition: all 0.15s ease;
-  line-height: 1;
-  height: 32px;
-}
-
-.xx-points-badge:hover {
-  border-color: var(--primary-color, #6366f1);
-  color: var(--primary-color, #6366f1);
-  background: var(--primary-soft, #eef2ff);
-}
-
-.xx-points-badge.zero {
-  color: #faad14;
-  border-color: #ffe58f;
-  background: #fffbe6;
-}
-
-.xx-points-badge.low {
-  color: #fa8c16;
-  border-color: #ffd591;
-  background: #fff7e6;
-}
-
-.xx-points-badge-icon {
-  font-size: 14px;
-  color: #8b5cf6;
-}
-
-.xx-points-badge.zero .xx-points-badge-icon,
-.xx-points-badge.low .xx-points-badge-icon {
-  color: inherit;
-}
-
-.xx-points-badge-val {
-  font-variant-numeric: tabular-nums;
-}
-
-/* Popover */
-.xx-points-popover {
-  width: 260px;
-  display: flex;
-  flex-direction: column;
-  gap: 12px;
-}
-
-.xx-points-popover-top {
-  display: flex;
-  align-items: center;
-  justify-content: space-between;
-}
-
-.xx-points-popover-balance {
-  display: flex;
-  align-items: baseline;
-  gap: 6px;
-}
-
-.xx-points-icon {
-  color: #8b5cf6;
-  font-size: 18px;
-}
-
-.xx-points-value {
-  font-size: 22px;
-  font-weight: 800;
-  color: var(--text-primary, #111827);
-  font-variant-numeric: tabular-nums;
-}
-
-.xx-points-unit {
-  color: var(--text-secondary, #6b7280);
-  font-size: 12px;
-}
-
-.xx-points-warn {
-  margin: 0 !important;
-  padding: 8px 10px;
-  background: #fffbe6;
-  border-radius: var(--radius-sm, 6px);
-  font-size: 12px;
-}
-
-.xx-points-expire {
-  font-size: 12px;
-  display: block;
-}
-
-.xx-points-popover-stats {
-  display: grid;
-  grid-template-columns: 1fr 1fr;
-  gap: 12px;
-  padding: 10px;
-  background: var(--bg-tertiary, #fafafa);
-  border-radius: var(--radius-sm, 6px);
-}
-
-.xx-points-stat-val {
-  font-size: 16px;
-  font-weight: 700;
-  color: var(--text-primary, #111827);
-  margin-top: 2px;
-  font-variant-numeric: tabular-nums;
-}

apps/web/src/components/common/PointsBadge/index.tsx

@@ -1,115 +0,0 @@
-/**
- * Header 右上角的积分徽章（💎 580）
- * - 余额 <10 时橙色告警
- * - 点击弹出 Popover：余额、会员信息、充值入口、积分明细入口
- */
-import React, { useEffect } from "react"
-import { Popover, Button, Tag, Space, Typography, Badge } from "antd"
-import {
-  ThunderboltOutlined,
-  CrownOutlined,
-  RightOutlined,
-  WarningOutlined,
-} from "@ant-design/icons"
-import { useNavigate } from "react-router-dom"
-import { usePointsStore } from "@/store/pointsStore"
-import "./PointsBadge.css"
-
-const { Text, Paragraph } = Typography
-
-const PointsBadge: React.FC = () => {
-  const navigate = useNavigate()
-  const { balance, init, loading } = usePointsStore()
-
-  useEffect(() => {
-    if (!balance) init()
-  }, [balance, init])
-
-  const bal = balance?.balance ?? 0
-  const lowBalance = bal > 0 && bal < 10
-  const zero = bal === 0
-  const isMember = !!balance?.is_member
-  const memberLabel = isMember
-    ? balance?.member_type === "yearly"
-      ? "年卡会员"
-      : balance?.member_type === "quarterly"
-        ? "季卡会员"
-        : balance?.member_type === "monthly"
-          ? "月卡会员"
-          : "付费会员"
-    : "免费会员"
-
-  const popContent = (
-    <div className="xx-points-popover">
-      <div className="xx-points-popover-top">
-        <div className="xx-points-popover-balance">
-          <ThunderboltOutlined className="xx-points-icon" />
-          <span className="xx-points-value">{loading ? "…" : bal}</span>
-          <span className="xx-points-unit">积分</span>
-        </div>
-        <Tag color={isMember ? "gold" : "default"} icon={<CrownOutlined />}>
-          {memberLabel}
-        </Tag>
-      </div>
-
-      {(zero || lowBalance) && (
-        <Paragraph type="warning" className="xx-points-warn">
-          <WarningOutlined /> 积分不足，充值后可继续使用 AI 功能
-        </Paragraph>
-      )}
-
-      {balance?.member_expires_at && (
-        <Text type="secondary" className="xx-points-expire">
-          会员到期：{new Date(balance.member_expires_at).toLocaleDateString("zh-CN")}
-        </Text>
-      )}
-
-      <div className="xx-points-popover-stats">
-        <div>
-          <Text type="secondary">累计获得</Text>
-          <div className="xx-points-stat-val">+{balance?.total_earned ?? 0}</div>
-        </div>
-        <div>
-          <Text type="secondary">累计消耗</Text>
-          <div className="xx-points-stat-val">-{balance?.total_spent ?? 0}</div>
-        </div>
-      </div>
-
-      <Space direction="vertical" style={{ width: "100%" }} size={8}>
-        <Button
-          type="primary"
-          icon={<ThunderboltOutlined />}
-          block
-          onClick={() => navigate("/app/points")}
-        >
-          充值积分
-        </Button>
-        <Button block onClick={() => navigate("/app/points/transactions")}>
-          积分明细
-          <RightOutlined />
-        </Button>
-        {!isMember && (
-          <Button block type="link" onClick={() => navigate("/app/subscription")}>
-            <CrownOutlined /> 升级会员享折扣
-          </Button>
-        )}
-      </Space>
-    </div>
-  )
-
-  return (
-    <Popover content={popContent} placement="bottomRight" trigger="click" arrow={false}>
-      <button
-        type="button"
-        className={`xx-points-badge ${zero ? "zero" : lowBalance ? "low" : ""}`}
-      >
-        <Badge dot={zero} color={zero ? "#faad14" : undefined}>
-          <ThunderboltOutlined className="xx-points-badge-icon" />
-        </Badge>
-        <span className="xx-points-badge-val">{loading ? "…" : bal}</span>
-      </button>
-    </Popover>
-  )
-}
-
-export default PointsBadge

apps/web/src/components/common/PointsCost/PointsCost.css

@@ -1,67 +0,0 @@
-/* 功能按钮旁的积分消耗提示 */
-.xx-points-cost {
-  display: inline-flex;
-  align-items: center;
-  gap: 4px;
-  font-size: 12px;
-  color: var(--text-secondary, #6b7280);
-  font-weight: 500;
-  white-space: nowrap;
-}
-
-.xx-points-cost.free,
-.xx-points-cost.free-quota {
-  color: #10b981;
-}
-
-.xx-points-cost.insufficient {
-  color: #ef4444;
-}
-
-.xx-points-gem {
-  font-size: 12px;
-  line-height: 1;
-}
-
-.xx-points-num {
-  font-weight: 700;
-  font-variant-numeric: tabular-nums;
-  color: inherit;
-}
-
-.xx-points-unit-label {
-  color: var(--text-tertiary, #9ca3af);
-}
-
-.xx-points-tag-free {
-  display: inline-flex;
-  align-items: center;
-  padding: 1px 6px;
-  border-radius: 4px;
-  background: #d1fae5;
-  color: #059669;
-  font-size: 11px;
-  font-weight: 600;
-}
-
-.xx-points-free-user-tag {
-  display: inline-flex;
-  align-items: center;
-  padding: 1px 6px;
-  border-radius: 4px;
-  background: #fef3c7;
-  color: #d97706;
-  font-size: 10px;
-  font-weight: 600;
-  margin-left: 4px;
-}
-
-.xx-points-desc {
-  color: var(--text-tertiary, #9ca3af);
-  font-size: 11px;
-}
-
-.xx-points-warn-icon {
-  color: #ef4444;
-  margin-left: 2px;
-}

apps/web/src/components/common/PointsCost/index.tsx

@@ -1,162 +0,0 @@
-/**
- * 功能操作按钮旁的"消耗积分"提示
- * 例：[生成配音] 💎 -1 积分
- *  - 根据 scene_key 自动读取规则
- *  - 免费用户自动计算 ×1.15 向上取整
- *  - 余额不足时显示红色告警 + 充值提示
- *
- * 使用：<PointsCost scene="ai_voice" units={1} />
- */
-import React, { useEffect, useMemo, useState } from "react"
-import { Tooltip } from "antd"
-import { WarningOutlined } from "@ant-design/icons"
-import { usePointsStore } from "@/store/pointsStore"
-import type { PointsSource } from "@/api/points/types"
-import { getPointsRules } from "@/api/points"
-import "./PointsCost.css"
-
-interface Props {
-  /** 消耗场景 key */
-  scene: PointsSource
-  /** 单位数（分钟数/条数/张数），默认 1 */
-  units?: number
-  /** 是否显示为紧凑模式（仅图标+数字，不显示单位文字） */
-  compact?: boolean
-  /** 余额不足时，是否显示充值提示 */
-  showRechargeHint?: boolean
-  /** 自定义 class */
-  className?: string
-}
-
-/** 单位中文 */
-const UNIT_LABEL: Record<string, string> = {
-  分钟: "分钟",
-  条: "条",
-  次: "次",
-  张: "张",
-}
-
-const PointsCost: React.FC<Props> = ({
-  scene,
-  units = 1,
-  compact = false,
-  showRechargeHint = true,
-  className = "",
-}) => {
-  const { balance, init } = usePointsStore()
-  const [rules, setRules] = useState<Awaited<ReturnType<typeof getPointsRules>> | null>(null)
-
-  useEffect(() => {
-    if (!balance) init()
-    if (!rules) {
-      getPointsRules()
-        .then(setRules)
-        .catch(() => {})
-    }
-  }, [balance, init, rules])
-
-  const { cost, isFreeQuota, rule, isFreeUser, insufficient } = useMemo(() => {
-    if (!rules || !balance) {
-      return {
-        cost: 0,
-        isFreeQuota: false,
-        rule: null,
-        isFreeUser: !balance?.is_member,
-        insufficient: false,
-      }
-    }
-    const rule = rules.rules.find((r) => r.scene_key === scene)
-    if (!rule)
-      return {
-        cost: 0,
-        isFreeQuota: false,
-        rule: null,
-        isFreeUser: !balance.is_member,
-        insufficient: false,
-      }
-    // 免费训练不扣费
-    if (rule.points_per_use === 0) {
-      return {
-        cost: 0,
-        isFreeQuota: false,
-        rule,
-        isFreeUser: !balance.is_member,
-        insufficient: false,
-      }
-    }
-
-    // 智能混剪：首条30s=3分，每+30s +1
-    let baseCost: number
-    if (scene === "ai_video" && rule.extra_per_30s) {
-      // units 当作"30s 段数"更简单；按分钟算：minutes 个 30s 段 - 1
-      const segments = Math.max(1, Math.ceil(units * 2)) // 1min = 2 segments
-      baseCost = rule.points_per_use + rule.extra_per_30s * (segments - 1)
-    } else {
-      baseCost = rule.points_per_use * Math.max(1, units)
-    }
-
-    // 混剪 + 免费用户 + 今日有免费额度 → 免费
-    const isFree =
-      scene === "ai_video" && !balance.is_member && (balance.free_clips_remaining ?? 0) > 0
-
-    const isFreeUser = !balance.is_member
-    const cost = isFree
-      ? 0
-      : isFreeUser
-        ? Math.ceil(baseCost * rules.free_user_multiplier)
-        : baseCost
-    const insufficient = !isFree && balance.balance < cost
-    return { cost, isFreeQuota: isFree, rule, isFreeUser, insufficient }
-  }, [rules, balance, scene, units])
-
-  if (!rule || !balance) {
-    return <span className={`xx-points-cost ${className}`} />
-  }
-
-  if (rule.points_per_use === 0) {
-    return (
-      <span className={`xx-points-cost free ${className}`}>
-        <span className="xx-points-tag-free">免费</span>
-      </span>
-    )
-  }
-
-  if (isFreeQuota) {
-    return (
-      <Tooltip title={`今日免费额度剩余 ${balance.free_clips_remaining} 条，不扣积分`}>
-        <span className={`xx-points-cost free-quota ${className}`}>
-          <span className="xx-points-tag-free">免费</span>
-          {!compact && (
-            <span className="xx-points-desc">（今日剩余 {balance.free_clips_remaining} 条）</span>
-          )}
-        </span>
-      </Tooltip>
-    )
-  }
-
-  const unitLabel = compact
-    ? ""
-    : ` /${units > 1 ? `${units}${UNIT_LABEL[rule.unit] ?? rule.unit}` : rule.unit}`
-
-  return (
-    <span
-      className={`xx-points-cost ${insufficient ? "insufficient" : ""} ${isFreeUser ? "free-user" : ""} ${className}`}
-    >
-      <span className="xx-points-gem">💎</span>
-      <span className="xx-points-num">-{cost}</span>
-      {unitLabel && <span className="xx-points-unit-label">积分{unitLabel}</span>}
-      {isFreeUser && !compact && (
-        <Tooltip title={`免费用户消耗 ×${rules?.free_user_multiplier ?? 1.15}，开通会员享标准价`}>
-          <span className="xx-points-free-user-tag">非会员</span>
-        </Tooltip>
-      )}
-      {insufficient && showRechargeHint && (
-        <Tooltip title={`积分不足，需 ${cost} 积分，当前余额 ${balance.balance}`}>
-          <WarningOutlined className="xx-points-warn-icon" />
-        </Tooltip>
-      )}
-    </span>
-  )
-}
-
-export default PointsCost

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

@@ -1,5 +1,4 @@
-/* Phase 1 Header 样式 + 手机端适配
-   v2: 增加积分徽章、升级按钮、会员金冠 */
+/* Phase 1 Header 样式 + 手机端适配 */
 .xx-top-nav {
   height: 68px;
   position: sticky;
@@ -78,40 +77,10 @@
 .xx-right-section {
   display: flex;
   align-items: center;
-  gap: 10px;
+  gap: 12px;
   flex-shrink: 0;
 }
 
-/* v2: 顶部积分徽章 */
-.xx-header-points {
-  cursor: pointer;
-}
-
-/* v2: 升级会员按钮 */
-.xx-upgrade-btn {
-  background: linear-gradient(135deg, #f59e0b, #ef4444);
-  border: none;
-  font-weight: 700;
-  box-shadow: 0 2px 8px rgba(245, 158, 11, 0.3);
-}
-
-.xx-upgrade-btn:hover {
-  background: linear-gradient(135deg, #d97706, #dc2626) !important;
-  color: #fff !important;
-}
-
-/* v2: 会员金冠按钮 */
-.xx-crown-btn {
-  font-weight: 700;
-  color: #d97706;
-  padding: 2px 8px;
-}
-
-.xx-crown-btn:hover {
-  background: rgba(245, 158, 11, 0.1) !important;
-  color: #b45309 !important;
-}
-
 .xx-user-menu {
   display: flex;
   align-items: center;
@@ -146,29 +115,6 @@
   gap: var(--space-xs);
 }
 
-/* v2: 手机端积分/会员行 */
-.xx-mobile-points-row {
-  display: flex;
-  align-items: center;
-  justify-content: space-between;
-  gap: 10px;
-  padding: 8px 4px 16px;
-  margin-bottom: 12px;
-  border-bottom: 1px solid var(--border-color);
-}
-
-.xx-mobile-member-tag {
-  display: inline-flex;
-  align-items: center;
-  gap: 4px;
-  font-size: 12px;
-  font-weight: 700;
-  color: #d97706;
-  background: #fef3c7;
-  padding: 4px 10px;
-  border-radius: 999px;
-}
-
 .xx-mobile-nav-item {
   display: flex;
   align-items: center;
@@ -211,7 +157,6 @@
 
   .xx-top-nav-inner {
     padding: 0 12px;
-    gap: 6px;
   }
 
   .xx-brand-text {
@@ -232,19 +177,6 @@
   .xx-username {
     display: none;
   }
-
-  /* 手机端：缩小升级按钮文字 */
-  .xx-upgrade-btn {
-    padding: 0 8px !important;
-    font-size: 12px !important;
-    height: 28px;
-  }
-
-  .xx-crown-btn {
-    padding: 0 4px !important;
-    font-size: 12px !important;
-    height: 28px;
-  }
 }
 
 /* 小屏幕平板：导航文字缩小 */
@@ -256,14 +188,4 @@
   .xx-nav-links button {
     font-size: 13px;
   }
-
-  .xx-header-points {
-    transform: scale(0.9);
-    transform-origin: center;
-  }
-
-  .xx-upgrade-btn {
-    font-size: 12px !important;
-    padding: 0 10px !important;
-  }
 }

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

@@ -1,27 +1,15 @@
 /**
  * Phase 1 Header 重构
  * 扁平化导航菜单 + 手机端汉堡菜单
- * v2: 增加积分徽章、升级会员入口、我的积分入口
  */
-import React, { useEffect, useState } from "react"
-import { Avatar, Badge, Button, Dropdown, Drawer, Space, Tooltip } from "antd"
-import {
-  LogoutOutlined,
-  SettingOutlined,
-  UserOutlined,
-  MenuOutlined,
-  CrownFilled,
-  ThunderboltOutlined,
-  HistoryOutlined,
-  WalletOutlined,
-} from "@ant-design/icons"
+import React, { useState } from "react"
+import { Avatar, Dropdown, Drawer, Space } from "antd"
+import { LogoutOutlined, SettingOutlined, UserOutlined, MenuOutlined } from "@ant-design/icons"
 import { useLocation, useNavigate } from "react-router-dom"
 import { useAuthStore } from "@/store/authStore"
 import { useLogout } from "@/hooks/useAuth"
 import type { MenuProps } from "antd"
 import { NAV_ITEMS } from "@/config/navigation"
-import PointsBadge from "@/components/common/PointsBadge"
-import { usePointsStore } from "@/store/pointsStore"
 import "./Header.css"
 
 const Header: React.FC = () => {
@@ -31,18 +19,6 @@ const Header: React.FC = () => {
   const logoutMutation = useLogout()
   const [mobileMenuOpen, setMobileMenuOpen] = useState(false)
 
-  // 积分与会员状态
-  const { balance, init } = usePointsStore()
-  useEffect(() => {
-    init()
-    // 每 60s 刷新一次（余额可能变化）
-    const t = setInterval(() => init(), 60_000)
-    return () => clearInterval(t)
-  }, [init])
-
-  const isMember = !!balance?.is_member
-  const memberType = balance?.member_type ?? null
-
   /** 用户下拉菜单 */
   const menuItems: MenuProps["items"] = [
     {
@@ -57,30 +33,6 @@ const Header: React.FC = () => {
       label: "订阅管理",
       onClick: () => navigate("/app/subscription"),
     },
-    // v2: 我的积分入口
-    {
-      key: "points-center",
-      icon: <ThunderboltOutlined />,
-      label: (
-        <Space>
-          我的积分
-          {balance && <span style={{ color: "#8b5cf6", fontWeight: 700 }}>{balance.balance}</span>}
-        </Space>
-      ),
-      onClick: () => navigate("/app/points"),
-    },
-    {
-      key: "points-history",
-      icon: <HistoryOutlined />,
-      label: "积分明细",
-      onClick: () => navigate("/app/points/transactions"),
-    },
-    {
-      key: "recharge",
-      icon: <WalletOutlined />,
-      label: "充值积分",
-      onClick: () => navigate("/app/points/recharge"),
-    },
     { type: "divider" },
     {
       key: "logout",
@@ -92,6 +44,7 @@ const Header: React.FC = () => {
 
   /** 判断导航项是否激活 */
   const isActive = (path: string) => {
+    // 首页特殊处理：/ 和 /app/dashboard 都算激活
     if (path === "/app/dashboard") {
       return (
         location.pathname === "/" ||
@@ -125,47 +78,6 @@ const Header: React.FC = () => {
         </nav>
 
         <div className="xx-right-section">
-          {/* v2: 积分徽章（顶部显示） */}
-          <PointsBadge />
-
-          {/* v2: 升级会员入口（仅免费用户显示） */}
-          {!isMember && (
-            <Tooltip title="升级会员解锁无限混剪、批量导出，积分 8 折起">
-              <Button
-                type="primary"
-                size="small"
-                icon={<CrownFilled />}
-                className="xx-upgrade-btn"
-                onClick={() => navigate("/app/subscription")}
-              >
-                升级会员
-              </Button>
-            </Tooltip>
-          )}
-
-          {/* v2: 付费会员显示金冠标识 */}
-          {isMember && (
-            <Tooltip
-              title={`${memberType === "yearly" ? "年卡" : memberType === "quarterly" ? "季卡" : "月卡"}会员${
-                balance?.member_expires_at
-                  ? ` · 到期 ${new Date(balance.member_expires_at).toLocaleDateString("zh-CN")}`
-                  : ""
-              }`}
-            >
-              <Badge dot color="gold">
-                <Button
-                  type="text"
-                  size="small"
-                  icon={<CrownFilled style={{ color: "#f59e0b" }} />}
-                  className="xx-crown-btn"
-                  onClick={() => navigate("/app/subscription")}
-                >
-                  {memberType === "yearly" ? "年卡" : memberType === "quarterly" ? "季卡" : "会员"}
-                </Button>
-              </Badge>
-            </Tooltip>
-          )}
-
           {/* 手机端汉堡菜单按钮 */}
           <button className="xx-hamburger" type="button" onClick={() => setMobileMenuOpen(true)}>
             <MenuOutlined />
@@ -191,31 +103,6 @@ const Header: React.FC = () => {
         width={260}
         className="xx-mobile-drawer"
       >
-        {/* 手机端积分/会员入口 */}
-        {balance && (
-          <div className="xx-mobile-points-row">
-            <PointsBadge />
-            {!isMember ? (
-              <Button
-                size="small"
-                type="primary"
-                icon={<CrownFilled />}
-                onClick={() => {
-                  navigate("/app/subscription")
-                  setMobileMenuOpen(false)
-                }}
-              >
-                升级
-              </Button>
-            ) : (
-              <span className="xx-mobile-member-tag">
-                <CrownFilled style={{ color: "#f59e0b" }} />{" "}
-                {memberType === "yearly" ? "年卡" : memberType === "quarterly" ? "季卡" : "月卡"}
-              </span>
-            )}
-          </div>
-        )}
-
         <div className="xx-mobile-nav">
           {NAV_ITEMS.map((item) => (
             <button

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（128px / 64px 折叠）
+         ├── .xx-app-sidebar  左侧侧边栏（240px / 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: 128px;
+  width: 240px;
   flex-shrink: 0;
   position: sticky;
   top: 0;
@@ -103,12 +103,6 @@
   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;
@@ -142,7 +136,7 @@
 
   /* 展开态恢复完整宽度 */
   .xx-app-sidebar:not(.xx-collapsed) {
-    width: 128px;
+    width: 240px;
   }
 
   .xx-app-sidebar:not(.xx-collapsed) .xx-sidebar-toggle {
@@ -165,7 +159,7 @@
     top: 56px; /* 移动端 Header 高度 */
     left: 0;
     bottom: 0;
-    width: 128px;
+    width: 240px;
     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：128px 固定宽度，可折叠至 64px 图标栏
+ * - 侧边栏：240px 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-sm) var(--space-xs);
+  padding: var(--space-sm) var(--space-md) 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-xs);
-  padding: var(--space-sm) var(--space-xs);
-  margin: 0 var(--space-xxs);
+  gap: var(--space-sm);
+  padding: var(--space-sm) var(--space-md);
+  margin: 0 var(--space-xs);
   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: 28px;
-  height: 28px;
-  border-radius: 8px;
+  width: 36px;
+  height: 36px;
+  border-radius: 10px;
   background: #f1f5f9;
   color: var(--text-secondary);
-  font-size: 16px;
+  font-size: 18px;
   line-height: 1;
   transition: 0.15s ease;
 }
@@ -119,9 +119,7 @@
 /* ── 菜单项文字 ───────────────────────────────────────────── */
 .xx-sidebar-menu-label {
   flex: 1;
-  min-width: 0;
   overflow: hidden;
-  white-space: nowrap;
   text-overflow: ellipsis;
 }
 
@@ -135,16 +133,8 @@
 /* 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-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;
+  padding: var(--space-sm);
+  margin: 0 var(--space-xxs);
 }
 
 /* 折叠时隐藏分组标题 */

apps/web/src/config/navigation.ts

@@ -8,14 +8,15 @@ import {
   FileOutlined,
   FileTextOutlined,
   AudioOutlined,
+  AppstoreOutlined,
   EditOutlined,
+  FolderOutlined,
   VideoCameraOutlined,
   HistoryOutlined,
   TrophyOutlined,
   ScanOutlined,
   ControlOutlined,
   CrownOutlined,
-  ThunderboltOutlined,
   UnorderedListOutlined,
   UserOutlined,
 } from "@ant-design/icons"
@@ -57,18 +58,30 @@ 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",
     path: "/app/voices",
     icon: React.createElement(AudioOutlined),
   },
+  {
+    key: "templates",
+    label: "模板库",
+    path: "/app/templates",
+    icon: React.createElement(AppstoreOutlined),
+  },
+  {
+    key: "editing-planner",
+    label: "剪辑模板",
+    path: "/app/editing-planner",
+    icon: React.createElement(EditOutlined),
+  },
+  {
+    key: "my-templates",
+    label: "我的模板",
+    path: "/app/my-templates",
+    icon: React.createElement(FolderOutlined),
+  },
 
   {
     key: "generate",
@@ -106,18 +119,6 @@ export const NAV_ITEMS: NavItem[] = [
     path: "/app/tasks",
     icon: React.createElement(UnorderedListOutlined),
   },
-  {
-    key: "subscription",
-    label: "会员订阅",
-    path: "/app/subscription",
-    icon: React.createElement(CrownOutlined),
-  },
-  {
-    key: "points",
-    label: "积分中心",
-    path: "/app/points",
-    icon: React.createElement(ThunderboltOutlined),
-  },
 ]
 
 /** 侧边栏导航分组（Sidebar 分组列表使用） */
@@ -143,6 +144,12 @@ export const NAV_GROUPS: NavGroup[] = [
         path: "/app/ai-avatar",
         icon: React.createElement(UserOutlined),
       },
+      {
+        key: "editing-planner",
+        label: "剪辑模板",
+        path: "/app/editing-planner",
+        icon: React.createElement(EditOutlined),
+      },
     ],
   },
   {
@@ -166,18 +173,24 @@ 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",
         path: "/app/products",
         icon: React.createElement(TrophyOutlined),
       },
+      {
+        key: "templates",
+        label: "模板库",
+        path: "/app/templates",
+        icon: React.createElement(AppstoreOutlined),
+      },
+      {
+        key: "my-templates",
+        label: "我的模板",
+        path: "/app/my-templates",
+        icon: React.createElement(FolderOutlined),
+      },
     ],
   },
   {
@@ -209,16 +222,10 @@ export const NAV_GROUPS: NavGroup[] = [
       },
       {
         key: "subscription",
-        label: "会员订阅",
+        label: "订阅管理",
         path: "/app/subscription",
         icon: React.createElement(CrownOutlined),
       },
-      {
-        key: "points",
-        label: "积分中心",
-        path: "/app/points",
-        icon: React.createElement(ThunderboltOutlined),
-      },
     ],
   },
 ]

apps/web/src/index.css

@@ -25,6 +25,15 @@ body {
   background-color: var(--bg-secondary);
 }
 
+/* ── 自定义字体 ── */
+@font-face {
+  font-family: "华康俪金黑";
+  src: url("/fonts/DFLiJinHei-W8.ttf") format("truetype");
+  font-weight: 700;
+  font-style: normal;
+  font-display: swap;
+}
+
 /* 滚动条 - V21 样式 */
 ::-webkit-scrollbar {
   width: 8px;

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

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

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

@@ -1,131 +1,75 @@
 /**
- * AI数字人 — API 封装（#1822 契约对齐）
+ * AI数字人 API 调用封装 (#1798)
  */
 import apiClient from "@/api/client"
-import type { Script, LipsyncJob, RenderJob, BRollSegment, SentenceTiming } from "../types"
+import type {
+  Script,
+  LipsyncJob,
+  AiAvatarRenderRequest,
+  AiAvatarRenderJob,
+} from "../types/aiAvatar"
 
 /* ── 文案库 ── */
-export const getScripts = async (): Promise<Script[]> => {
-  const response = await apiClient.get<{ items?: Script[] } | Script[]>("/scripts")
-  // 后端列表返回 { items, total } 分页对象，做兼容解包 + 数组防御（#1809 白屏修复）
-  const data = response.data as unknown
-  if (Array.isArray(data)) return data
-  const items = (data as { items?: Script[] })?.items
-  return Array.isArray(items) ? items : []
+export async function getScripts(params?: { search?: string; offset?: number; limit?: number }) {
+  const { data } = await apiClient.get<{ items: Script[]; total: number }>("/scripts", { params })
+  return data
 }
 
-export const getScriptById = async (id: string): Promise<Script> => {
-  const response = await apiClient.get<Script>(`/scripts/${id}`)
-  return response.data
+export async function getScript(id: string) {
+  const { data } = await apiClient.get<Script>(`/scripts/${id}`)
+  return data
 }
 
-export const createScript = async (data: { title: string; content: string }): Promise<Script> => {
-  const response = await apiClient.post<Script>("/scripts", data)
-  return response.data
+export async function createScript(payload: { title: string; content: string; tags?: string[] }) {
+  const { data } = await apiClient.post<Script>("/scripts", payload)
+  return data
 }
 
-export const deleteScript = async (id: string): Promise<void> => {
+export async function deleteScript(id: string) {
   await apiClient.delete(`/scripts/${id}`)
 }
 
-/* ── 素材单查（拿到 file_url 作为对口型的 video_url） ── */
-export const getAssetById = async (id: string): Promise<{ file_url?: string; id: string }> => {
-  const response = await apiClient.get<{ file_url?: string; id: string }>(`/assets/${id}`)
-  return response.data
-}
-
-/* ── 对口型（支持三种模式） ──
- * 1. TTS 直生（降级/旧版）：传 voice_id + script_text（+speed/emotion），后端 Celery 异步合成
- * 2. 直接音频：传 video_url + audio_url，后端同步下载+算timings+提交MediaKit
- * 3. 预合成音频（#1845 新主路径）：先调 previewTts 拿 audio_url+sentence_timings，
- *    再把 audio_url + audio_duration + sentence_timings 一起传过来，后端直接提交 MediaKit
- */
-export const createLipsyncJob = async (data: {
-  /** 人物视频 URL（MP4）；由素材 id 经 getAssetById 拿 file_url */
+/* ── 对口型 ── */
+export async function createLipsyncJob(payload: {
   video_url: string
-  /** 预合成/直接音频模式：音频 URL（#1845 步骤1 预合成的 CosyVoice 临时 URL，或外部音频 URL） */
-  audio_url?: string
-  /** 预合成音频时长（秒），由 previewTts 返回 */
-  audio_duration?: number
-  /** 预合成接口返回的句子时间戳（精确），后端直接写入 job */
-  sentence_timings?: SentenceTiming[]
-  /** 音色 ID（TTS 直生模式用） */
-  voice_id?: string
-  /** 要合成的文案（TTS 直生模式用） */
-  script_text?: string
-  /** 语速 0.5~2.0，默认 1.0（TTS 直生模式用） */
-  speed?: number
-  /** 情绪英文枚举：neutral/happy/sad/angry/surprised/fearful/disgusted（TTS 直生模式用；前端经 normalizeEmotion 归一化） */
-  emotion?: string
+  audio_url: string
   enable_video_loop?: boolean
   project_id?: string
-}): Promise<LipsyncJob> => {
-  const response = await apiClient.post<LipsyncJob>("/lipsync/jobs", data)
-  return response.data
+}) {
+  const { data } = await apiClient.post<LipsyncJob>("/lipsync/jobs", payload)
+  return data
 }
 
-/* ── #1845 TTS 预合成（步骤1「生成配音」同步接口，~2-3s） ── */
-export const previewTts = async (data: {
-  voice_id: string
-  script_text: string
-  speed?: number
-  emotion?: string
-}): Promise<{
-  audio_url: string
-  duration: number
-  sentence_timings: SentenceTiming[]
-}> => {
-  const response = await apiClient.post<{
-    audio_url: string
-    duration: number
-    sentence_timings: SentenceTiming[]
-  }>("/lipsync/tts-preview", data, { timeout: 30000 })
-  return response.data
+export async function getLipsyncJob(id: string) {
+  const { data } = await apiClient.get<LipsyncJob>(`/lipsync/jobs/${id}`)
+  return data
 }
 
-export const getLipsyncJob = async (id: string): Promise<LipsyncJob> => {
-  const response = await apiClient.get<LipsyncJob>(`/lipsync/jobs/${id}`, { timeout: 60000 })
-  return response.data
+/* ── 渲染合成 ── */
+export async function submitRender(payload: AiAvatarRenderRequest) {
+  const { data } = await apiClient.post<AiAvatarRenderJob>("/ai-avatar/render", payload)
+  return data
 }
 
-/* ── 渲染 ── */
-export const submitRender = async (data: {
-  lipsync_job_id: string
-  script_id?: string
-  b_roll_segments?: BRollSegment[]
-  title_config?: Record<string, unknown>
-  cover_config?: Record<string, unknown>
-  project_id?: string
-}): Promise<RenderJob> => {
-  // title_config 内可含 title_image_dataurl（前端 Canvas 渲染的 PNG dataURL）
-  const response = await apiClient.post<RenderJob>("/ai-avatar/render", data)
-  return response.data
+export async function getRenderJobs(params?: { project_id?: string; status?: string }) {
+  const { data } = await apiClient.get<AiAvatarRenderJob[]>("/ai-avatar/render/jobs", { params })
+  return data
 }
 
-export const getRenderJob = async (jobId: string): Promise<RenderJob> => {
-  const response = await apiClient.get<RenderJob>(`/ai-avatar/render/${jobId}`, { timeout: 60000 })
-  return response.data
+export async function getRenderJob(jobId: string) {
+  const { data } = await apiClient.get<AiAvatarRenderJob>(`/ai-avatar/render/${jobId}`)
+  return data
 }
 
-export const cancelRenderJob = async (jobId: string): Promise<void> => {
-  await apiClient.post(`/ai-avatar/render/${jobId}/cancel`)
+export async function cancelRenderJob(jobId: string) {
+  const { data } = await apiClient.post<AiAvatarRenderJob>(`/ai-avatar/render/${jobId}/cancel`)
+  return data
 }
 
-/* ── 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/${jobId}/smart-cover`,
-    {},
-    // 抽帧+评分+转存 OSS 链路较长，120s 超时
-    { timeout: 120000 },
-  )
-  return response.data
+export async function retryRenderJob(jobId: string) {
+  const { data } = await apiClient.post<AiAvatarRenderJob>(`/ai-avatar/render/${jobId}/retry`)
+  return data
 }
 
-/* ── 封面选定后点「完成」正式入库（POST /ai-avatar/render/{job_id}/finalize） ── */
-export const finalizeRenderJob = (renderId: string) =>
-  apiClient.post<{ video_id: string; cover_url: string; status: string }>(
-    `/ai-avatar/render/${renderId}/finalize`,
-  )
+/* ── 素材上传（复用已有 API） ── */
+export { prepareDirectUpload, completeDirectUpload } from "@/api/assets"

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

@@ -0,0 +1,226 @@
+import { useState, useRef, useCallback } from "react"
+import { uploadAssetDirect, ensureDefaultLibrary } from "@/api/assets"
+import { getOrCreateDefaultProject } from "@/api/projects"
+import type { AvatarVideo } from "../types/aiAvatar"
+
+interface AvatarVideoPanelProps {
+  video: AvatarVideo | null
+  onVideoChange: (v: AvatarVideo | null) => void
+  collapsed: boolean
+  onToggleCollapse: () => void
+}
+
+const MAX_VIDEO_SIZE = 500 * 1024 * 1024 // 500MB
+
+/** 格式化秒数为 mm:ss */
+function formatDuration(seconds: number): string {
+  const m = Math.floor(seconds / 60)
+  const s = Math.floor(seconds % 60)
+  return `${String(m).padStart(2, "0")}:${String(s).padStart(2, "0")}`
+}
+
+/** 获取视频元信息 */
+function getVideoMetadata(
+  file: File,
+): Promise<{ duration: number; width: number; height: number }> {
+  return new Promise((resolve, reject) => {
+    const url = URL.createObjectURL(file)
+    const video = document.createElement("video")
+    video.preload = "metadata"
+    video.onloadedmetadata = () => {
+      resolve({
+        duration: video.duration,
+        width: video.videoWidth,
+        height: video.videoHeight,
+      })
+      URL.revokeObjectURL(url)
+    }
+    video.onerror = () => {
+      URL.revokeObjectURL(url)
+      reject(new Error("无法读取视频信息"))
+    }
+    video.src = url
+  })
+}
+
+const AvatarVideoPanel: React.FC<AvatarVideoPanelProps> = ({
+  video,
+  onVideoChange,
+  collapsed,
+  onToggleCollapse,
+}) => {
+  const [uploading, setUploading] = useState(false)
+  const [uploadProgress, setUploadProgress] = useState(0)
+  const [dragOver, setDragOver] = useState(false)
+  const fileInputRef = useRef<HTMLInputElement>(null)
+
+  const handleUpload = useCallback(
+    async (file: File) => {
+      if (file.size > MAX_VIDEO_SIZE) {
+        alert("视频文件大小不能超过 500MB")
+        return
+      }
+      if (!file.type.startsWith("video/")) {
+        alert("请上传 MP4 格式的视频文件")
+        return
+      }
+
+      try {
+        // 获取视频元信息
+        const metadata = await getVideoMetadata(file)
+
+        setUploading(true)
+        setUploadProgress(0)
+
+        // 获取或创建默认项目
+        const project = await getOrCreateDefaultProject()
+
+        // 获取或创建默认视频库
+        const library = await ensureDefaultLibrary({
+          project_id: project.id,
+          kind: "video",
+        })
+
+        // 上传文件到 OSS
+        await uploadAssetDirect({
+          file,
+          library_id: library.id,
+          onProgress: (p) => setUploadProgress(p),
+        })
+
+        // 构建视频对象（使用本地预览 URL）
+        const previewUrl = URL.createObjectURL(file)
+        onVideoChange({
+          url: previewUrl,
+          name: file.name,
+          duration: metadata.duration,
+          width: metadata.width,
+          height: metadata.height,
+          size: file.size,
+        })
+      } catch (err) {
+        const message = err instanceof Error ? err.message : "上传失败，请重试"
+        alert(message)
+      } finally {
+        setUploading(false)
+        setUploadProgress(0)
+      }
+    },
+    [onVideoChange],
+  )
+
+  const handleFileSelect = useCallback(
+    (e: React.ChangeEvent<HTMLInputElement>) => {
+      const file = e.target.files?.[0]
+      if (file) {
+        handleUpload(file)
+      }
+      // 清空 input 以支持重复选择同一文件
+      e.target.value = ""
+    },
+    [handleUpload],
+  )
+
+  const handleDrop = useCallback(
+    (e: React.DragEvent<HTMLDivElement>) => {
+      e.preventDefault()
+      setDragOver(false)
+      const file = e.dataTransfer.files[0]
+      if (file) {
+        handleUpload(file)
+      }
+    },
+    [handleUpload],
+  )
+
+  const handleDragOver = useCallback((e: React.DragEvent<HTMLDivElement>) => {
+    e.preventDefault()
+    setDragOver(true)
+  }, [])
+
+  const handleDragLeave = useCallback(() => {
+    setDragOver(false)
+  }, [])
+
+  const handleRemove = useCallback(() => {
+    onVideoChange(null)
+  }, [onVideoChange])
+
+  return (
+    <div className={`ai-avatar-panel panel-avatar-video ${collapsed ? "collapsed" : ""}`}>
+      <div className="ai-avatar-panel-header" onClick={onToggleCollapse}>
+        <h3>出镜视频</h3>
+        <button className="collapse-btn">◀</button>
+      </div>
+      <div className="ai-avatar-panel-body">
+        {video ? (
+          <div>
+            <div className="ai-avatar-media-preview">
+              <video src={video.url} controls />
+            </div>
+            <div className="ai-avatar-media-info">
+              <span>时长：{formatDuration(video.duration)}</span>
+              <span>
+                分辨率：{video.width}×{video.height}
+              </span>
+            </div>
+            <div className="ai-avatar-media-info">
+              <span>{video.name}</span>
+            </div>
+            <button className="aa-btn aa-btn-sm" onClick={handleRemove} style={{ marginTop: 8 }}>
+              移除视频
+            </button>
+          </div>
+        ) : (
+          <div
+            className={`ai-avatar-upload-zone ${dragOver ? "drag-over" : ""}`}
+            onClick={() => fileInputRef.current?.click()}
+            onDrop={handleDrop}
+            onDragOver={handleDragOver}
+            onDragLeave={handleDragLeave}
+          >
+            <span className="upload-icon">🎬</span>
+            {uploading ? (
+              <div>
+                <div>上传中... {uploadProgress}%</div>
+                <div
+                  style={{
+                    width: "100%",
+                    height: 4,
+                    background: "#2a2a2a",
+                    borderRadius: 2,
+                    marginTop: 8,
+                  }}
+                >
+                  <div
+                    style={{
+                      width: `${uploadProgress}%`,
+                      height: "100%",
+                      background: "#3b82f6",
+                      borderRadius: 2,
+                      transition: "width 0.2s",
+                    }}
+                  />
+                </div>
+              </div>
+            ) : (
+              <div>
+                <div>点击或拖拽上传视频</div>
+                <div style={{ marginTop: 4, fontSize: 12 }}>MP4 格式，不超过 500MB</div>
+              </div>
+            )}
+            <input
+              ref={fileInputRef}
+              type="file"
+              accept="video/mp4,video/*"
+              onChange={handleFileSelect}
+              style={{ display: "none" }}
+            />
+          </div>
+        )}
+      </div>
+    </div>
+  )
+}
+
+export default AvatarVideoPanel

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

@@ -0,0 +1,272 @@
+/**
+ * B-roll 画面插入弹窗
+ * 左右布局：左侧素材缩略图 + 右侧设置
+ */
+import React, { useCallback, useState } from "react"
+import type { BRollSegment } from "../types/aiAvatar"
+
+interface BRollInsertModalProps {
+  open: boolean
+  onClose: () => void
+  onConfirm: (segment: BRollSegment) => void
+  videoDuration: number
+}
+
+/** 画中画位置选项 */
+const PIP_POSITIONS = [
+  { value: "top-left", label: "左上" },
+  { value: "top-right", label: "右上" },
+  { value: "bottom-left", label: "左下" },
+  { value: "bottom-right", label: "右下" },
+]
+
+/** 格式化秒数为 mm:ss */
+function formatTime(seconds: number): string {
+  const mins = Math.floor(seconds / 60)
+  const secs = Math.floor(seconds % 60)
+  return `${String(mins).padStart(2, "0")}:${String(secs).padStart(2, "0")}`
+}
+
+const BRollInsertModal: React.FC<BRollInsertModalProps> = ({
+  open,
+  onClose,
+  onConfirm,
+  videoDuration,
+}) => {
+  /* 素材列表（示例数据，实际使用时通过 props 或 API 传入） */
+  const [assets, setAssets] = useState<{ id: string; url: string; name: string }[]>([])
+  const [selectedAssetId, setSelectedAssetId] = useState<string | null>(null)
+
+  /* 设置 */
+  const [insertMode, setInsertMode] = useState<"fullscreen" | "pip">("fullscreen")
+  const [pipPosition, setPipPosition] = useState("top-right")
+  const [startTime, setStartTime] = useState(0)
+  const [endTime, setEndTime] = useState(5)
+  const [scriptIndex, setScriptIndex] = useState(0)
+
+  const handleConfirm = useCallback(() => {
+    const asset = assets.find((a) => a.id === selectedAssetId)
+    if (!asset) return
+
+    const segment: BRollSegment = {
+      script_segment_index: scriptIndex,
+      asset_url: asset.url,
+      mode: insertMode,
+      start_time: startTime,
+      end_time: endTime,
+      pip_position: insertMode === "pip" ? pipPosition : undefined,
+      pip_scale: insertMode === "pip" ? 0.3 : undefined,
+    }
+    onConfirm(segment)
+    onClose()
+  }, [
+    assets,
+    selectedAssetId,
+    scriptIndex,
+    insertMode,
+    pipPosition,
+    startTime,
+    endTime,
+    onConfirm,
+    onClose,
+  ])
+
+  /* 上传新素材占位 */
+  const handleUploadAsset = useCallback(() => {
+    /* 实际项目中触发文件上传逻辑 */
+    const newAsset = {
+      id: `asset-${Date.now()}`,
+      url: "",
+      name: "新素材",
+    }
+    setAssets((prev) => [...prev, newAsset])
+    setSelectedAssetId(newAsset.id)
+  }, [])
+
+  if (!open) return null
+
+  return (
+    <div className="ai-avatar-modal-overlay" onClick={onClose}>
+      <div className="ai-avatar-modal" style={{ width: 800 }} onClick={(e) => e.stopPropagation()}>
+        <div className="ai-avatar-modal-header">
+          <h3>插入 B-roll 画面</h3>
+          <button className="aa-btn aa-btn-sm" onClick={onClose}>
+            ✕
+          </button>
+        </div>
+
+        <div className="ai-avatar-modal-body">
+          <div className="ai-avatar-broll-layout">
+            {/* 左侧：素材缩略图 */}
+            <div className="ai-avatar-broll-timeline">
+              <h4 style={{ fontSize: 13, color: "#999", margin: "0 0 12px", fontWeight: 500 }}>
+                素材列表
+              </h4>
+              <div className="ai-avatar-broll-thumbnails">
+                {assets.map((asset) => (
+                  <div
+                    key={asset.id}
+                    className={`ai-avatar-broll-thumb ${selectedAssetId === asset.id ? "selected" : ""}`}
+                    onClick={() => setSelectedAssetId(asset.id)}
+                    title={asset.name}
+                  >
+                    {asset.url ? (
+                      <img
+                        src={asset.url}
+                        alt={asset.name}
+                        style={{ width: "100%", height: "100%", objectFit: "cover" }}
+                      />
+                    ) : (
+                      <div
+                        style={{
+                          display: "flex",
+                          alignItems: "center",
+                          justifyContent: "center",
+                          height: "100%",
+                          fontSize: 11,
+                          color: "#666",
+                        }}
+                      >
+                        {asset.name}
+                      </div>
+                    )}
+                  </div>
+                ))}
+              </div>
+              <button className="aa-btn" onClick={handleUploadAsset}>
+                + 上传新素材
+              </button>
+            </div>
+
+            {/* 右侧：设置 */}
+            <div className="ai-avatar-broll-settings">
+              <h4 style={{ fontSize: 13, color: "#999", margin: "0 0 12px", fontWeight: 500 }}>
+                插入设置
+              </h4>
+
+              {/* 插入位置 */}
+              <div style={{ marginBottom: 12 }}>
+                <label style={{ display: "block", fontSize: 12, color: "#999", marginBottom: 4 }}>
+                  插入位置（文案段落索引）
+                </label>
+                <input
+                  type="number"
+                  min={0}
+                  value={scriptIndex}
+                  onChange={(e) => setScriptIndex(Number(e.target.value))}
+                  style={{
+                    width: "100%",
+                    background: "#222",
+                    border: "1px solid #2a2a2a",
+                    borderRadius: 4,
+                    padding: "6px 8px",
+                    color: "#fff",
+                    fontSize: 13,
+                  }}
+                />
+              </div>
+
+              {/* 开始时间 */}
+              <div style={{ marginBottom: 12 }}>
+                <label style={{ display: "block", fontSize: 12, color: "#999", marginBottom: 4 }}>
+                  开始时间：{formatTime(startTime)}
+                </label>
+                <input
+                  type="range"
+                  min={0}
+                  max={videoDuration}
+                  step={0.1}
+                  value={startTime}
+                  onChange={(e) => setStartTime(Number(e.target.value))}
+                  style={{ width: "100%" }}
+                />
+              </div>
+
+              {/* 持续时间 */}
+              <div style={{ marginBottom: 12 }}>
+                <label style={{ display: "block", fontSize: 12, color: "#999", marginBottom: 4 }}>
+                  结束时间：{formatTime(endTime)}
+                </label>
+                <input
+                  type="range"
+                  min={startTime}
+                  max={videoDuration}
+                  step={0.1}
+                  value={endTime}
+                  onChange={(e) => setEndTime(Number(e.target.value))}
+                  style={{ width: "100%" }}
+                />
+              </div>
+
+              <hr className="aa-divider" />
+
+              {/* 插入模式 */}
+              <div style={{ marginBottom: 12 }}>
+                <label style={{ display: "block", fontSize: 12, color: "#999", marginBottom: 8 }}>
+                  插入模式
+                </label>
+                <div className="aa-radio-group">
+                  <label>
+                    <input
+                      type="radio"
+                      name="brollInsertMode"
+                      value="fullscreen"
+                      checked={insertMode === "fullscreen"}
+                      onChange={() => setInsertMode("fullscreen")}
+                    />
+                    全屏替换
+                  </label>
+                  <label>
+                    <input
+                      type="radio"
+                      name="brollInsertMode"
+                      value="pip"
+                      checked={insertMode === "pip"}
+                      onChange={() => setInsertMode("pip")}
+                    />
+                    画中画
+                  </label>
+                </div>
+              </div>
+
+              {/* 画中画位置选择 */}
+              {insertMode === "pip" && (
+                <div style={{ marginBottom: 12 }}>
+                  <label style={{ display: "block", fontSize: 12, color: "#999", marginBottom: 8 }}>
+                    画中画位置
+                  </label>
+                  <div className="ai-avatar-pip-positions">
+                    {PIP_POSITIONS.map((pos) => (
+                      <button
+                        key={pos.value}
+                        className={pipPosition === pos.value ? "active" : ""}
+                        onClick={() => setPipPosition(pos.value)}
+                      >
+                        {pos.label}
+                      </button>
+                    ))}
+                  </div>
+                </div>
+              )}
+            </div>
+          </div>
+        </div>
+
+        <div className="ai-avatar-modal-footer">
+          <button className="aa-btn" onClick={onClose}>
+            取消
+          </button>
+          <button
+            className="aa-btn aa-btn-primary"
+            disabled={!selectedAssetId}
+            onClick={handleConfirm}
+          >
+            确认插入
+          </button>
+        </div>
+      </div>
+    </div>
+  )
+}
+
+export default BRollInsertModal

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

@@ -0,0 +1,131 @@
+/**
+ * 面板5：封面 & 生成
+ * 封面预览 + 生成设置 + 生成按钮
+ */
+import React, { useCallback } from "react"
+import type { AiAvatarCoverConfig, AiAvatarGenerateConfig } from "../types/aiAvatar"
+
+interface CoverGeneratePanelProps {
+  coverConfig: AiAvatarCoverConfig
+  setCoverConfig: (c: AiAvatarCoverConfig) => void
+  generateConfig: AiAvatarGenerateConfig
+  setGenerateConfig: (c: AiAvatarGenerateConfig) => void
+  isGenerating: boolean
+  onSubmitGenerate: () => void
+  collapsed: boolean
+  onToggleCollapse: () => void
+}
+
+const CoverGeneratePanel: React.FC<CoverGeneratePanelProps> = ({
+  coverConfig,
+  setCoverConfig,
+  generateConfig,
+  setGenerateConfig,
+  isGenerating,
+  onSubmitGenerate,
+  collapsed,
+  onToggleCollapse,
+}) => {
+  const handleFrameCapture = useCallback(() => {
+    setCoverConfig({ ...coverConfig, mode: "frame", enabled: true })
+  }, [coverConfig, setCoverConfig])
+
+  const handleCustomUpload = useCallback(() => {
+    setCoverConfig({ ...coverConfig, mode: "upload", enabled: true })
+  }, [coverConfig, setCoverConfig])
+
+  return (
+    <div className={`ai-avatar-panel panel-cover-generate ${collapsed ? "collapsed" : ""}`}>
+      <div className="ai-avatar-panel-header" onClick={onToggleCollapse}>
+        <h3>封面 &amp; 生成</h3>
+        <button className="collapse-btn">◀</button>
+      </div>
+      <div className="ai-avatar-panel-body">
+        {/* 封面预览区 */}
+        <div className="ai-avatar-cover-preview">
+          {coverConfig.thumbnail_url ? (
+            <img src={coverConfig.thumbnail_url} alt="封面预览" />
+          ) : (
+            <span>暂无封面</span>
+          )}
+        </div>
+
+        {/* 封面操作按钮 */}
+        <div style={{ display: "flex", gap: 8, marginBottom: 16 }}>
+          <button className="aa-btn" style={{ flex: 1 }} onClick={handleFrameCapture}>
+            从视频截取
+          </button>
+          <button className="aa-btn" style={{ flex: 1 }} onClick={handleCustomUpload}>
+            自定义上传
+          </button>
+        </div>
+
+        {/* 分割线 + 生成设置 */}
+        <hr className="aa-divider" />
+
+        <div className="ai-avatar-generate-section">
+          <h4 style={{ fontSize: 13, color: "#999", margin: "0 0 12px", fontWeight: 500 }}>
+            生成设置
+          </h4>
+
+          {/* 分辨率 */}
+          <div className="field-row">
+            <span>分辨率</span>
+            <select
+              value={generateConfig.resolution}
+              onChange={(e) =>
+                setGenerateConfig({
+                  ...generateConfig,
+                  resolution: e.target.value as "720p" | "1080p",
+                })
+              }
+            >
+              <option value="720p">720p</option>
+              <option value="1080p">1080p</option>
+            </select>
+          </div>
+
+          {/* 画面插入模式 */}
+          <div style={{ marginBottom: 12 }}>
+            <label style={{ display: "block", fontSize: 13, color: "#fff", marginBottom: 8 }}>
+              画面插入模式
+            </label>
+            <div className="aa-radio-group">
+              <label>
+                <input
+                  type="radio"
+                  name="bRollMode"
+                  value="fullscreen"
+                  checked={generateConfig.bRollMode === "fullscreen"}
+                  onChange={() => setGenerateConfig({ ...generateConfig, bRollMode: "fullscreen" })}
+                />
+                全屏切换
+              </label>
+              <label>
+                <input
+                  type="radio"
+                  name="bRollMode"
+                  value="pip"
+                  checked={generateConfig.bRollMode === "pip"}
+                  onChange={() => setGenerateConfig({ ...generateConfig, bRollMode: "pip" })}
+                />
+                画中画
+              </label>
+            </div>
+          </div>
+        </div>
+
+        {/* 生成按钮 */}
+        <button
+          className="ai-avatar-generate-btn"
+          disabled={isGenerating}
+          onClick={onSubmitGenerate}
+        >
+          {isGenerating ? "生成中..." : "🚀 开始生成视频"}
+        </button>
+      </div>
+    </div>
+  )
+}
+
+export default CoverGeneratePanel

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

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

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

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

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

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

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

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

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

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