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Author SHA1 Message Date
xiaoxia 6104889633 style: 修复ruff check告警(未用import/循环变量/zip strict) 2026-07-23 17:46:40 +08:00
xiaoxia 555a3f64c8 fix(ci): 前端脚本改用npm ci(项目用package-lock.json而非pnpm)
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2026-07-23 17:37:44 +08:00
xiaoxia 5daec0ef97 fix(ci): 去掉前端脚本DooD嵌套,直接在CI容器内运行 2026-07-23 17:37:44 +08:00
xiaoxia 0a424bbc46 style: 用black+isort重新格式化(与CI工具链对齐)
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2026-07-23 17:32:34 +08:00
xiaoxia 570815b487 style: ruff format格式化2个文件
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2026-07-23 13:58:26 +08:00
1272 changed files with 46733 additions and 169511 deletions
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# ============================================================
# 小虾 SaaS 环境变量完整配置
# ============================================================
# 本文件列出所有可配置的环境变量及默认值。
# 复制为 .env 后按需修改;生产环境务必覆盖所有密钥类配置。
#
# 配置读取规则(pydantic-settings,大小写不敏感):
# 1. 系统环境变量(最高优先级)
# 2. .env.{APP_ENV} 文件(如 .env.staging
# 3. .env 文件
# 4. 代码中的默认值(最低优先级)
# ============================================================
# 小虾 SaaS 环境变量配置
# ==================== 应用基本配置 ====================
# 应用名称
APP_NAME=xiaoxia-saas
# 应用版本号(展示用,代码中已内置默认)
APP_VERSION=0.1.61
# 环境标识:development / staging / production
# 决定读取 .env.{APP_ENV} 还是 .env,也影响部分配置的严格校验
# ==================== 应用配置 ====================
APP_NAME=小虾 SaaS
APP_BASE_URL=http://localhost:3000
APP_ENV=development
# 是否开启 Debug 模式(开发环境 true,生产环境 false)
DEBUG=true
# 应用基础 URL,用于生成认证邮件、回调链接等
APP_BASE_URL=http://localhost:3000
# API 服务监听地址(容器内绑定,外部暴露由 Docker/Nginx 控制)
API_HOST=0.0.0.0
# API 服务监听端口
API_PORT=8000
# 是否自动创建数据库表结构(开发环境可开启,生产环境用 alembic migration
AUTO_CREATE_SCHEMA=false
# ==================== 数据库配置 ====================
DATABASE_URL=postgresql://xiaoxia_user:your_password@localhost:5432/xiaoxia_saas
# 数据库连接串(格式:postgresql+psycopg://user:password@host:port/dbname
DATABASE_URL=postgresql+psycopg://postgres:postgres@localhost:5432/xiaoxia_saas
# 连接池大小(常驻连接数)
DATABASE_POOL_SIZE=20
# 连接池最大溢出连接数(pool_size + max_overflow = 最大并发连接数)
DATABASE_MAX_OVERFLOW=10
# 获取连接超时时间(秒)
DATABASE_POOL_TIMEOUT=30
# 连接回收时间(秒),防止数据库端主动断开导致的死连接
DATABASE_POOL_RECYCLE=3600
# 是否使用内存数据库(SQLite,仅开发/测试可用;生产务必 false)
USE_IN_MEMORY_DB=false
# 开发环境:使用内存数据库(不需要 PostgreSQL
USE_IN_MEMORY_DB=true
# 生产环境:使用 PostgreSQL
# USE_IN_MEMORY_DB=false
# ==================== Redis 配置 ====================
# Redis 连接 URL(格式:redis://[:password@]host:port/db
REDIS_URL=redis://localhost:6379/0
# 是否使用 Redis 存储 Session(多实例部署时必须开启;开发可用内存存储)
ENABLE_REDIS_SESSIONS=false
# ==================== Celery 任务队列 ====================
# Celery Broker(任务分发),默认用 Redis db0
CELERY_BROKER_URL=redis://localhost:6379/0
# Celery Result Backend(任务结果存储),默认用 Redis db1
CELERY_RESULT_BACKEND=redis://localhost:6379/1
# ==================== Worker 配置 ====================
# Worker 进程名称
WORKER_NAME=xiaoxia-saas-worker
# Worker 并发数(同时执行的任务数)
WORKER_CONCURRENCY=4
# 每个子进程最多处理多少任务后重启(防止内存泄漏)
WORKER_MAX_TASKS_PER_CHILD=1000
# ==================== JWT 认证配置 ====================
# JWT 签名密钥 — 生产环境必须设置为强随机字符串(至少32字符)
# 内置不安全值会被拒绝:secret / changeme / password / your-secret-key 等
# ==================== JWT 配置 ====================
JWT_SECRET_KEY=your-super-secret-key-change-this-in-production-min-32-chars
# JWT 签名算法
JWT_ALGORITHM=HS256
# Access Token 过期时间(分钟)
JWT_ACCESS_TOKEN_EXPIRE_MINUTES=30
# Refresh Token 过期时间(天)
JWT_REFRESH_TOKEN_EXPIRE_DAYS=30
# ==================== 邮件配置 ====================
# 是否启用邮件投递(关闭时邮件内容打印到日志,开发调试用)
ENABLE_EMAIL_DELIVERY=false
# SMTP 服务器地址
SMTP_HOST=smtp.gmail.com
# SMTP 端口
SMTP_PORT=587
# SMTP 用户名
SMTP_USER=your-email@gmail.com
# SMTP 密码 / 应用专用密码
SMTP_PASSWORD=your-app-specific-password
# 发件人邮箱
SMTP_FROM_EMAIL=noreply@xiaoxia-saas.com
# 发件人显示名称
SMTP_FROM_NAME=小虾 SaaS
# 是否启用 TLS
SMTP_USE_TLS=true
# ==================== 阿里云 OSS 配置 ====================
# OSS 区域 endpoint
OSS_ENDPOINT=oss-cn-hangzhou.aliyuncs.com
# OSS Access Key ID — 非开发环境必须设置
OSS_ACCESS_KEY_ID=your-access-key-id
# OSS Access Key Secret — 非开发环境必须设置
OSS_ACCESS_KEY_SECRET=your-access-key-secret
# OSS Bucket 名称
OSS_BUCKET_NAME=xiaoxia-autocut
# 直传最大文件大小(MB
OSS_DIRECT_UPLOAD_MAX_MB=2000
# 直传签名有效期(秒)
OSS_DIRECT_UPLOAD_EXPIRE_SECONDS=900
# ==================== 环境配置 ====================
ENVIRONMENT=development
DEBUG=true
# ==================== CORS 配置 ====================
# 逗号分隔的域名列表(Settings 读取 CORS_ORIGINS_RAW
CORS_ORIGINS_RAW=http://localhost:3000,http://localhost:5173
# 允许跨域的前端域名列表,逗号分隔
CORS_ORIGINS_RAW=http://localhost:3000,http://localhost:5173,http://localhost:8000
# ==================== 渲染引擎配置 ====================
# 渲染引擎选择:
# legacy — 旧 VideoComposeService(稳定,功能完整)
# unified — 新 UnifiedRenderService(新架构,部分场景仍在验证)
RENDER_ENGINE=legacy
# ==================== CosyVoice 语音合成 ====================
# 阿里云百灵语音合成服务
# 模型选择:
# cosyvoice-v3-flash — 推荐,系统音色多,性价比高
# cosyvoice-v3-plus — 高质量,系统音色少
# cosyvoice-v3.5-flash / cosyvoice-v3.5-plus — 仅支持克隆/设计音色,无系统音色
# 音色:v3 系列系统音色带 _v3 后缀,如 longxiaochun_v3 / longxiaoxia_v3 / longanyang
# ==================== 阿里云 OSS 配置 ====================
OSS_ENDPOINT=oss-cn-hangzhou.aliyuncs.com
OSS_ACCESS_KEY_ID=your-access-key-id
OSS_ACCESS_KEY_SECRET=your-access-key-secret
OSS_BUCKET_NAME=xiaoxia-autocut
# ==================== CosyVoice 语音合成配置 ====================
# 注意:base_url 只需写到 /api/v1,具体路径由代码拼接
# 模型: cosyvoice-v3-flash (推荐,支持系统音色,性价比高)
# cosyvoice-v3-plus (高质量,系统音色少)
# cosyvoice-v3.5-flash / cosyvoice-v3.5-plus (仅支持克隆/设计音色,无系统音色)
# 音色: v3系列系统音色带 _v3 后缀,如 longxiaochun_v3, longxiaoxia_v3, longanyang (无后缀)
# 注意:COSYVOICE_* 变量由 packages/shared/config.py 的 SharedSettings 读取
COSYVOICE_API_KEY=your-cosyvoice-api-key
COSYVOICE_BASE_URL=https://dashscope.aliyuncs.com/api/v1
COSYVOICE_MODEL=cosyvoice-v3-flash
COSYVOICE_VOICE=longxiaochun_v3
COSYVOICE_SAMPLE_RATE=22050
COSYVOICE_FORMAT=mp3
# 音色克隆模型名(固定为 voice-enrollment,通常不需修改)
COSYVOICE_CLONE_MODEL=voice-enrollment
# ==================== 豆包大模型(火山引擎方舟) ====================
# 用于 AI 文案生成、智能剪辑等需要大模型能力的场景
DOUBAO_API_KEY=your-doubao-api-key
DOUBAO_MODEL=doubao-seed-1-6-250615
DOUBAO_BASE_URL=https://ark.cn-beijing.volces.com/api/v3
DOUBAO_TIMEOUT=30
DOUBAO_MAX_RETRIES=2
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name: ACR Cleanup
on:
schedule:
- cron: '0 19 * * *' # UTC 19:00 = 北京时间凌晨3:00
workflow_dispatch:
inputs:
pr_sha:
description: "PR commit SHA(仅清理指定PR镜像,留空则全量清理)"
required: false
default: ""
dry_run:
description: "预览模式(dry-run),不实际删除"
required: false
default: "true"
pull_request_target:
types: [closed]
branches: [develop, main]
concurrency:
group: acr-cleanup-${{ gitea.ref }}
cancel-in-progress: false
jobs:
cleanup:
name: ACR Image Cleanup
runs-on: ci-l2
timeout-minutes: 20
permissions:
contents: read
env:
ACR_REGISTRY: xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com
ACR_NAMESPACE: xiaoxiakeji
ACR_SERVICE: registry.aliyuncs.com:cn-hangzhou:china:cri-fvec8o9q4mmxrkaa
GITEA_URL: https://git.xiaoxiajianji.com
GITEA_REPO: xiaoxia/xiaoxia-saas
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
# ====== Cron模式:获取staging运行中镜像作为白名单 ======
- name: Get staging running images (whitelist)
id: protected_images
if: gitea.event_name != 'pull_request_target' && !gitea.event.inputs.pr_sha
env:
STAGING_SSH_KEY: ${{ secrets.PREVIEW_SSH_KEY }}
run: |
set +e
echo "获取staging服务器运行中镜像作为白名单..."
mkdir -p ~/.ssh
echo "$STAGING_SSH_KEY" > ~/.ssh/id_rsa
chmod 600 ~/.ssh/id_rsa
staging_host="${STAGING_SSH_HOST:-47.98.113.167}"
staging_port="${STAGING_SSH_PORT:-22222}"
ssh-keyscan -p "$staging_port" -H "$staging_host" >> ~/.ssh/known_hosts 2>/dev/null
# 获取所有运行容器的镜像,提取tag部分
IMAGES=$(ssh -p "$staging_port" -i ~/.ssh/id_rsa -o StrictHostKeyChecking=no \
"root@$staging_host" "docker ps --format '{{.Image}}' 2>/dev/null" 2>/dev/null | grep -v "^$" | sort -u)
PROTECTED_TAGS=""
if [ -n "$IMAGES" ]; then
while IFS= read -r img; do
# 从完整镜像名中提取tag(最后一个冒号后)
tag=$(echo "$img" | rev | cut -d: -f1 | rev)
if [ -n "$tag" ] && [ "$tag" != "latest" ] && [ ${#tag} -gt 5 ]; then
if [ -z "$PROTECTED_TAGS" ]; then
PROTECTED_TAGS="$tag"
else
PROTECTED_TAGS="$PROTECTED_TAGS,$tag"
fi
fi
done <<< "$IMAGES"
fi
echo "staging运行中镜像tag: ${PROTECTED_TAGS:-(无)}"
echo "protected_tags=$PROTECTED_TAGS" >> $GITEA_OUTPUT
# ====== Docker登录 ======
- name: Docker login to ACR
env:
ACR_USERNAME: ${{ secrets.ACR_USERNAME }}
ACR_PASSWORD: ${{ secrets.ACR_PASSWORD }}
run: |
printf '%s' "$ACR_PASSWORD" | docker login "$ACR_REGISTRY" -u "$ACR_USERNAME" --password-stdin
# ====== 模式1PR关闭时清理 ======
- name: Cleanup PR images (PR closed)
if: gitea.event_name == 'pull_request_target'
env:
ACR_USERNAME: ${{ secrets.ACR_USERNAME }}
ACR_PASSWORD: ${{ secrets.ACR_PASSWORD }}
GITEA_TOKEN: ${{ secrets.GITEA_TOKEN }}
PR_SHA: ${{ gitea.event.pull_request.head.sha }}
PR_NUMBER: ${{ gitea.event.pull_request.number }}
run: |
echo "============================================"
echo " PR #$PR_NUMBER 已关闭,清理对应镜像"
echo " Head SHA: ${PR_SHA::12}"
echo "============================================"
echo ""
python3 scripts/ci/acr_cleanup.py \
--pr-sha "$PR_SHA" \
--execute
# ====== 模式2Cron全量清理 ======
- name: Full cleanup (cron / manual)
if: gitea.event_name != 'pull_request_target' && !gitea.event.inputs.pr_sha
env:
ACR_USERNAME: ${{ secrets.ACR_USERNAME }}
ACR_PASSWORD: ${{ secrets.ACR_PASSWORD }}
GITEA_TOKEN: ${{ secrets.GITEA_TOKEN }}
PROTECTED_TAGS: ${{ steps.protected_images.outputs.protected_tags }}
DRY_RUN_INPUT: ${{ gitea.event.inputs.dry_run }}
run: |
echo "============================================"
echo " ACR 全量清理(${{ gitea.event_name }}"
echo "============================================"
echo ""
# 决定是否dry-run
DRY_RUN_FLAG=""
if [ "$DRY_RUN_INPUT" = "true" ]; then
DRY_RUN_FLAG="--dry-run"
echo "模式: 预览模式 (dry-run)"
else
echo "模式: 执行模式"
fi
echo ""
python3 scripts/ci/acr_cleanup.py \
--keep 20 \
--protected-tags "$PROTECTED_TAGS" \
$DRY_RUN_FLAG
# ====== 模式3:手动指定PR SHA清理 ======
- name: Cleanup specific PR image (manual)
if: gitea.event_name == 'workflow_dispatch' && gitea.event.inputs.pr_sha
env:
ACR_USERNAME: ${{ secrets.ACR_USERNAME }}
ACR_PASSWORD: ${{ secrets.ACR_PASSWORD }}
PR_SHA: ${{ gitea.event.inputs.pr_sha }}
DRY_RUN_INPUT: ${{ gitea.event.inputs.dry_run }}
run: |
echo "手动清理PR镜像: ${PR_SHA::12}"
echo ""
DRY_RUN_FLAG=""
if [ "$DRY_RUN_INPUT" = "true" ]; then
DRY_RUN_FLAG="--dry-run"
fi
python3 scripts/ci/acr_cleanup.py \
--pr-sha "$PR_SHA" \
$DRY_RUN_FLAG
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name: API Base Image Build
on:
push:
branches:
- develop
- main
paths:
- 'requirements-base.txt'
- 'requirements.txt'
- 'infra/docker/api-base.Dockerfile'
workflow_dispatch:
jobs:
build-api-base:
name: Build API Base Image
runs-on: runtime-builder
timeout-minutes: 45
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sH "Authorization: token $GITHUB_TOKEN" \
"${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" \
| bash
- name: Docker login to Registry
shell: sh
env:
ACR_USERNAME: ${{ secrets.ACR_USERNAME }}
ACR_PASSWORD: ${{ secrets.ACR_PASSWORD }}
GITEA_REGISTRY_USER: xiaoxia
GITEA_REGISTRY_TOKEN: ${{ secrets.REGISTRY_TOKEN }}
run: |
set -eu
for i in 1 2 3; do
echo "=== Docker login 尝试 $i/3 ==="
if printf '%s' "${ACR_PASSWORD}" | docker login xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com -u "${ACR_USERNAME}" --password-stdin \
&& docker login git.xiaoxiajianji.com -u "${GITEA_REGISTRY_USER}" -p "${GITEA_REGISTRY_TOKEN}"; then
echo "✅ Docker login successful"
break
fi
echo "❌ Docker login 失败(尝试 $i/3),5s 后重试..."
sleep 5
done
- name: Build and push API base image
shell: sh
run: |
set -eu
ACR_IMAGE="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji/saas-api-base:latest"
GITEA_IMAGE="git.xiaoxiajianji.com/xiaoxia-saas/saas-api-base:latest"
echo "=== Building API base image ==="
# 使用普通 docker build(单平台不需要 buildx
docker build \
-f infra/docker/api-base.Dockerfile \
-t "${ACR_IMAGE}" \
.
echo ""
echo "✅ Image built successfully"
# 推送到 ACR
echo "=== Pushing to ACR ==="
docker push "${ACR_IMAGE}"
echo "✅ Pushed to ACR"
# 打标签并推送到 Gitea Packages 作为备份
echo "=== Pushing to Gitea Packages ==="
docker tag "${ACR_IMAGE}" "${GITEA_IMAGE}"
docker push "${GITEA_IMAGE}" || echo "⚠️ Gitea Packages push failed (non-fatal)"
echo "✅ Gitea backup push completed"
- name: Cleanup
if: always()
shell: sh
run: |
ACR_IMAGE="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji/saas-api-base:latest"
docker rmi "${ACR_IMAGE}" 2>/dev/null || true
echo "Cleanup done"
+1 -1
View File
@@ -8,7 +8,7 @@ permissions:
jobs:
ci-health-report:
name: CI健康度每日巡检
runs-on: ci-l2
runs-on: saas
timeout-minutes: 15
steps:
- name: Checkout code
+126 -387
View File
@@ -21,7 +21,7 @@ on:
permissions:
contents: read
concurrency:
group: ci-pipeline-${{ gitea.ref }}
group: ci-pipeline-${{ gitea.event_name }}-${{ gitea.ref }}
cancel-in-progress: true
jobs:
check-frontend-only:
@@ -37,7 +37,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Check changed files
id: check
shell: bash
@@ -90,7 +90,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -180,7 +180,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -259,7 +259,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -340,7 +340,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -394,9 +394,7 @@ jobs:
if: always() && needs.check-frontend-only.outputs.skip_backend != 'true'
needs:
- check-frontend-only
- validate-code-quality
- validate-type-check
- validate-migration
- validate
env:
DATABASE_URL: postgresql+psycopg://postgres:postgres@host.docker.internal:5432/xiaoxia_saas
USE_IN_MEMORY_DB: 'false'
@@ -411,7 +409,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -457,15 +455,13 @@ jobs:
name: Frontend Lint
runs-on: ci-l2
timeout-minutes: 10
needs: check-frontend-only
if: needs.check-frontend-only.outputs.skip_frontend != 'true'
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -527,7 +523,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -577,12 +573,7 @@ jobs:
name: PR Build ${{ matrix.service_display }} Image
runs-on: runtime-builder
timeout-minutes: ${{ matrix.timeout }}
needs: check-frontend-only
if: |
github.event_name == 'pull_request' && (
(matrix.service == 'web' && needs.check-frontend-only.outputs.skip_frontend != 'true') ||
(matrix.service != 'web' && needs.check-frontend-only.outputs.skip_backend != 'true')
)
if: github.event_name == 'pull_request'
strategy:
fail-fast: false
matrix:
@@ -611,7 +602,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -633,25 +624,63 @@ jobs:
echo "Docker login failed ($i/3), retrying in 5s..."
sleep 5
done
- name: Pre-build worker base image (fallback if not exist)
- name: Pre-build worker base images (fallback if not exist)
if: matrix.service == 'worker'
id: prebuild
shell: sh
run: |
set -eu
REGISTRY="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji"
BASE_IMAGE="${REGISTRY}/saas-worker-base:latest"
REGISTRY="git.xiaoxiajianji.com/xiaoxia-saas"
BASE_BUILDER="${REGISTRY}/worker-base-builder:latest"
BASE_RUNTIME="${REGISTRY}/worker-base-runtime:latest"
# 尝试拉取基础镜像
echo "检查 Worker 基础镜像..."
if docker pull "$BASE_IMAGE" 2>/dev/null; then
echo "基础镜像已存在"
echo "检查基础镜像..."
if docker pull "$BASE_BUILDER" 2>/dev/null && docker pull "$BASE_RUNTIME" 2>/dev/null; then
echo "基础镜像已存在,使用远程镜像"
echo "fallback=false" >> $GITHUB_OUTPUT
else
echo "⚠️ 基础镜像不存在,本地构建(fallback模式)..."
docker build -f infra/docker/worker-base.Dockerfile -t "$BASE_IMAGE" .
echo "基础镜像不存在,本地构建(fallback模式)..."
# 构建builder基础镜像
echo "构建 worker-base-builder..."
# 用buildx docker-container驱动构建(兼容DooD模式:普通docker build看不到容器内文件)
BUILDER_NAME="ci-pr-builder-${GITHUB_RUN_ID:-local}"
if ! docker buildx inspect "$BUILDER_NAME" > /dev/null 2>&1; then
docker buildx create --use --name "$BUILDER_NAME" --driver docker-container
else
docker buildx use "$BUILDER_NAME"
fi
docker buildx inspect --bootstrap > /dev/null 2>&1
# 构建builder基础镜像(带重试,buildx容器偶发不稳定)
echo "构建 worker-base-builder..."
for attempt in 1 2 3; do
if docker buildx build --load -f infra/docker/worker-base-builder.Dockerfile -t "$BASE_BUILDER" .; then
echo "worker-base-builder 构建成功"
break
fi
echo "worker-base-builder 构建失败,重试 $attempt/3..."
docker buildx rm "$BUILDER_NAME" 2>/dev/null || true
docker buildx create --use --name "$BUILDER_NAME" --driver docker-container
sleep 3
done
# 构建runtime基础镜像
echo "构建 worker-base-runtime..."
for attempt in 1 2 3; do
if docker buildx build --load -f infra/docker/worker-base-runtime.Dockerfile -t "$BASE_RUNTIME" .; then
echo "worker-base-runtime 构建成功"
break
fi
echo "worker-base-runtime 构建失败,重试 $attempt/3..."
docker buildx rm "$BUILDER_NAME" 2>/dev/null || true
docker buildx create --use --name "$BUILDER_NAME" --driver docker-container
sleep 3
done
echo "fallback=true" >> $GITHUB_OUTPUT
echo "✅ Worker 基础镜像本地构建完成"
echo "基础镜像本地构建完成"
fi
- name: Build PR image (verify only, no push)
@@ -667,15 +696,15 @@ jobs:
EXTRA_BUILD_ARGS="$EXTRA_BUILD_ARGS NGINX_CONF=infra/docker/nginx-staging.conf"
fi
# Worker: 始终用普通docker build(基础镜像已预装全部依赖,无需buildx
if [ "${{ matrix.service }}" = "worker" ]; then
echo "Worker: 使用普通docker build"
# Worker fallback模式:基础镜像本地已构建,用普通docker build绕过buildx
if [ "${{ matrix.service }}" = "worker" ] && [ "${{ steps.prebuild.outputs.fallback }}" = "true" ]; then
echo "Fallback模式:用普通docker build(基础镜像本地已构建)"
BUILD_ARG_STR=""
for arg in $EXTRA_BUILD_ARGS; do
BUILD_ARG_STR="$BUILD_ARG_STR --build-arg $arg"
done
docker build -f ${{ matrix.dockerfile }} -t "${IMAGE_TAG}" $BUILD_ARG_STR .
echo "PR Build successful (worker, no buildx)"
echo "Fallback PR Build successful"
exit 0
fi
@@ -762,7 +791,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -798,7 +827,6 @@ jobs:
fi
- name: Setup buildx builder
if: matrix.service != 'worker'
shell: sh
run: |
set -eu
@@ -811,64 +839,41 @@ jobs:
fi
docker buildx inspect --bootstrap
- name: Pre-build worker base image (fallback if not exist)
if: matrix.service == 'worker'
shell: sh
run: |
set -eu
REGISTRY="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji"
BASE_IMAGE="${REGISTRY}/saas-worker-base:latest"
echo "检查 Worker 基础镜像..."
if docker pull "$BASE_IMAGE" 2>/dev/null; then
echo "✅ 基础镜像已存在"
else
echo "⚠️ 基础镜像不存在,本地构建(fallback..."
docker build -f infra/docker/worker-base.Dockerfile -t "$BASE_IMAGE" .
echo "✅ Worker 基础镜像本地构建完成"
fi
- name: Build and push ${{ matrix.service_display }} image
- name: Build and push ${{ matrix.service_display }} image (with retry)
shell: sh
run: |
set -eu
REGISTRY="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji"
IMAGE_TAG="${REGISTRY}/${{ matrix.image_name }}:${GITHUB_SHA}"
CACHE_REF="${REGISTRY}/${{ matrix.cache_name }}:${GITHUB_REF_NAME}"
if [ "${{ matrix.service }}" = "worker" ]; then
# Worker: plain docker build(基础镜像已预装全部依赖,无需 buildx)
echo "=== Worker: plain docker build ==="
docker build -f ${{ matrix.dockerfile }} -t "${IMAGE_TAG}" --build-arg APP_VERSION="${GITHUB_SHA}" .
docker push "${IMAGE_TAG}"
echo "✅ Worker image pushed: ${IMAGE_TAG}"
else
# API/Web: buildx with registry cache
CACHE_REF="${REGISTRY}/${{ matrix.cache_name }}:${GITHUB_REF_NAME}"
EXTRA_BUILD_ARGS="APP_VERSION=\"${GITHUB_SHA}\""
if [ "${{ matrix.service }}" = "web" ]; then
EXTRA_BUILD_ARGS="$EXTRA_BUILD_ARGS NGINX_CONF=infra/docker/nginx-staging.conf"
fi
NO_CACHE_FLAG=""
for i in 1 2 3; do
echo "=== Docker build 尝试 $i/3 ==="
if 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
echo "❌ Docker build 失败(尝试 $i/3"
[ $i -eq 3 ] && exit 1
sleep 10
if [ $i -eq 2 ]; then
NO_CACHE_FLAG="--no-cache"
echo "下次重试将使用 --no-cache"
fi
done
echo "${{ matrix.service_display }} image pushed: ${IMAGE_TAG}"
EXTRA_BUILD_ARGS="APP_VERSION=\"${GITHUB_SHA}\""
if [ "${{ matrix.service }}" = "web" ]; then
EXTRA_BUILD_ARGS="$EXTRA_BUILD_ARGS NGINX_CONF=infra/docker/nginx-staging.conf"
fi
# Docker build 带重试:失败自动重试2次,第2次重试加--no-cache
NO_CACHE_FLAG=""
for i in 1 2 3; do
echo "=== Docker build 尝试 $i/3 ==="
if 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
echo "❌ Docker build 失败(尝试 $i/3"
[ $i -eq 3 ] && exit 1
sleep 10
# 第2次重试使用 --no-cache
if [ $i -eq 2 ]; then
NO_CACHE_FLAG="--no-cache"
echo "下次重试将使用 --no-cache"
fi
done
echo
echo "${{ matrix.service_display }} image pushed: ${IMAGE_TAG}"
- name: Cleanup buildx builder
if: matrix.service != 'worker' && always()
if: always()
shell: sh
run: |
docker buildx rm ci-builder-${GITHUB_RUN_ID}-${GITHUB_JOB}-${{ matrix.cache_name }} 2>/dev/null || true
@@ -918,7 +923,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -1070,14 +1075,23 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
- name: Run Playwright E2E on staging
shell: bash
shell: sh
run: |
bash scripts/ci/run_staging_tests.sh e2e
set -eu
docker run --rm --ipc=host \
-e E2E_BASE_URL=https://staging.xiaoxiajianji.com \
-e E2E_API_BASE=https://staging-api.xiaoxiajianji.com/api/v1 \
-e E2E_BROWSER_CHANNEL=chromium \
-e PLAYWRIGHT_HEADLESS=1 \
-v "$PWD:/workspace" \
-w /workspace/apps/web \
git.xiaoxiajianji.com/xiaoxia/base/playwright:v1.45.0-jammy \
sh -lc "npm ci && npx playwright test --reporter=line --project=chromium e2e/auth.spec.ts e2e/auth-guard.spec.ts e2e/core-upload.spec.ts e2e/core-generation.spec.ts"
- name: Job duration summary
if: always()
@@ -1117,14 +1131,21 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
- name: Run API integration tests on staging
shell: bash
shell: sh
run: |
bash scripts/ci/run_staging_tests.sh api
set -eu
docker run --rm \
-e E2E_BASE_URL=https://staging.xiaoxiajianji.com \
-e E2E_API_BASE=https://staging-api.xiaoxiajianji.com/api/v1 \
-v "$PWD:/workspace" \
-w /workspace/apps/web \
git.xiaoxiajianji.com/xiaoxia/base/playwright:v1.45.0-jammy \
sh -lc 'npm ci && npx playwright test --reporter=line e2e/test_auth.spec.ts e2e/test_asset.spec.ts e2e/test_project.spec.ts'
- name: Job duration summary
if: always()
@@ -1157,12 +1178,7 @@ jobs:
runs-on: runtime-builder
timeout-minutes: ${{ matrix.timeout }}
needs:
- validate-code-quality
- validate-type-check
- unit-tests
- frontend-lint
- frontend-unit-test
if: startsWith(github.ref, 'refs/tags/v') || (github.event_name == 'push' && github.ref_name == 'main')
if: startsWith(github.ref, 'refs/tags/v')
strategy:
fail-fast: false
matrix:
@@ -1191,7 +1207,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -1235,20 +1251,14 @@ jobs:
docker buildx inspect --bootstrap
- name: Build and push production ${{ matrix.service_display }} image (with retry)
shell: bash
shell: sh
run: |
set -eu
REGISTRY="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji"
# 根据ref类型设置镜像标签:tag用版本号,分支用分支名+sha
if [[ "$GITHUB_REF" == refs/tags/* ]]; then
TAG_NAME="${GITHUB_REF_NAME}"
else
TAG_NAME="${GITHUB_REF_NAME}-${GITHUB_SHA::8}"
fi
IMAGE_TAG="${REGISTRY}/${{ matrix.image_name }}:${TAG_NAME}"
IMAGE_TAG="${REGISTRY}/${{ matrix.image_name }}:${GITHUB_REF_NAME}"
CACHE_REF="${REGISTRY}/${{ matrix.cache_name }}:main"
EXTRA_BUILD_ARGS="APP_VERSION=\"${TAG_NAME}\""
EXTRA_BUILD_ARGS="APP_VERSION=\"${GITHUB_REF_NAME}\""
if [ "${{ matrix.service }}" = "web" ]; then
EXTRA_BUILD_ARGS="$EXTRA_BUILD_ARGS NGINX_CONF=infra/docker/nginx-production.conf"
fi
@@ -1315,7 +1325,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -1446,13 +1456,14 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
- name: Run production browser E2E
shell: bash
shell: sh
run: |
set -eu
docker run --rm --ipc=host \
-e E2E_BASE_URL=https://saas.xiaoxiajianji.com \
-e E2E_API_BASE=https://api.xiaoxiajianji.com/api/v1 \
@@ -1461,7 +1472,7 @@ jobs:
-v "$PWD:/workspace" \
-w /workspace/apps/web \
git.xiaoxiajianji.com/xiaoxia/base/playwright:v1.45.0-jammy \
bash -c 'for i in 1 2 3; do npm ci --registry=https://registry.npmmirror.com && break; echo "npm ci attempt $i failed, retrying..."; sleep 15; done && npx playwright test --reporter=line --project=chromium e2e/auth.spec.ts e2e/auth-guard.spec.ts e2e/core-upload.spec.ts e2e/core-generation.spec.ts e2e/core-titles.spec.ts'
sh -lc 'npm ci && npx playwright test --reporter=line --project=chromium e2e/auth.spec.ts e2e/auth-guard.spec.ts e2e/core-upload.spec.ts e2e/core-generation.spec.ts e2e/core-titles.spec.ts'
- name: Job duration summary
if: always()
@@ -1505,7 +1516,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -1545,276 +1556,4 @@ jobs:
[ ${{ job.status }} = "success" ] || STATUS="error"
START_TIME=""
[ -f /tmp/ci_job_start_time ] && START_TIME=$(cat /tmp/ci_job_start_time)
python3 scripts/ci/ci_trace_report.py --service xiaoxia-saas-ci --status $STATUS --start-time "$START_TIME" || true
canary-release:
name: Canary Release to Production
runs-on: runtime-builder
timeout-minutes: 120
concurrency:
group: canary-release-production
cancel-in-progress: false
if: github.event_name == 'push' && github.ref_name == 'main'
needs:
- build-production
- staging-api-tests
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
- name: Notify canary release start
continue-on-error: true
shell: sh
env:
CI_NOTIFY_WEBHOOK: ${{ secrets.CI_NOTIFY_WEBHOOK }}
run: |
set +e
NOTIFY_MODE=start JOB_NAME="Canary Release" python3 scripts/ci_notify.py
- name: Install SSH client
shell: sh
run: |
set -eu
apt-get update -qq && apt-get install -y -qq openssh-client curl >/dev/null 2>&1
echo "openssh-client installed"
- name: Run canary release
shell: bash
env:
PRODUCTION_SSH_HOST: ${{ secrets.PRODUCTION_SSH_HOST }}
PRODUCTION_SSH_USER: ${{ secrets.PRODUCTION_SSH_USER }}
PRODUCTION_SSH_PORT: ${{ secrets.PRODUCTION_SSH_PORT }}
PRODUCTION_SSH_KEY: ${{ secrets.PRODUCTION_SSH_KEY }}
ACR_USERNAME: ${{ secrets.ACR_USERNAME }}
ACR_PASSWORD: ${{ secrets.ACR_PASSWORD }}
CI_NOTIFY_WEBHOOK: ${{ secrets.CI_NOTIFY_WEBHOOK }}
run: |
set -eu
IMAGE_TAG="main-${GITHUB_SHA::8}"
export IMAGE_TAG
echo "Canary release version: $IMAGE_TAG"
bash scripts/ci/canary_release.sh
- name: Job duration summary
if: always()
shell: sh
run: bash scripts/ci/step_timer_end.sh
- name: Notify on success
continue-on-error: true
if: success()
shell: sh
env:
CI_NOTIFY_WEBHOOK: ${{ secrets.CI_NOTIFY_WEBHOOK }}
run: |
set +e
NOTIFY_MODE=success JOB_NAME="Canary Release" python3 scripts/ci_notify.py
- name: Notify on failure
continue-on-error: true
if: failure()
shell: sh
env:
CI_NOTIFY_WEBHOOK: ${{ secrets.CI_NOTIFY_WEBHOOK }}
run: |
set +e
NOTIFY_MODE=failure JOB_NAME="Canary Release" python3 scripts/ci_notify.py
- name: Report CI trace
if: always()
shell: sh
env:
AGENTLOOP_LICENSE_KEY: ${{ secrets.AGENTLOOP_LICENSE_KEY }}
run: |
STATUS="ok"
[ ${{ job.status }} = "success" ] || STATUS="error"
START_TIME=""
[ -f /tmp/ci_job_start_time ] && START_TIME=$(cat /tmp/ci_job_start_time)
python3 scripts/ci/ci_trace_report.py --service xiaoxia-saas-ci --status $STATUS --start-time "$START_TIME" || true
ci-gate:
name: CI Gate
runs-on: ci-l2
if: always() && github.event_name == 'pull_request'
needs:
- check-frontend-only
- validate-code-quality
- validate-type-check
- validate-migration
- unit-tests
- integration-tests
- frontend-lint
- frontend-unit-test
- build-pr
timeout-minutes: 3
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh \
"${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
- name: Evaluate CI Gate
id: gate
shell: bash
env:
GITHUB_TOKEN: ${{ github.token }}
PR_NUMBER: ${{ github.event.pull_request.number }}
PR_HEAD_SHA: ${{ github.event.pull_request.head.sha }}
RESULT_CHECK_FRONTEND: ${{ needs.check-frontend-only.result }}
RESULT_CODE_QUALITY: ${{ needs.validate-code-quality.result }}
RESULT_TYPE_CHECK: ${{ needs.validate-type-check.result }}
RESULT_MIGRATION: ${{ needs.validate-migration.result }}
RESULT_UNIT_TESTS: ${{ needs.unit-tests.result }}
RESULT_INTEGRATION: ${{ needs.integration-tests.result }}
RESULT_FRONTEND_LINT: ${{ needs.frontend-lint.result }}
RESULT_FRONTEND_UNIT: ${{ needs.frontend-unit-test.result }}
RESULT_BUILD_PR: ${{ needs.build-pr.result }}
run: |
set -eu
echo "=== CI Gate 评估 ==="
echo ""
echo "各job结果:"
echo " check-frontend-only: $RESULT_CHECK_FRONTEND"
echo " validate-code-quality: $RESULT_CODE_QUALITY"
echo " validate-type-check: $RESULT_TYPE_CHECK"
echo " validate-migration: $RESULT_MIGRATION"
echo " unit-tests: $RESULT_UNIT_TESTS"
echo " integration-tests: $RESULT_INTEGRATION"
echo " frontend-lint: $RESULT_FRONTEND_LINT"
echo " frontend-unit-test: $RESULT_FRONTEND_UNIT"
echo " build-pr: $RESULT_BUILD_PR"
# 查询 AI Code Review 状态(跨workflow,读commit status
AI_REVIEW_STATUS="pending"
AI_REVIEW_DESC=""
STATUS_JSON=$(curl -sfH "Authorization: token $GITHUB_TOKEN" \
"${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/commits/${PR_HEAD_SHA}/status" 2>/dev/null || true)
if [ -n "$STATUS_JSON" ]; then
AI_STATUS=$(echo "$STATUS_JSON" | python3 -c "
import json,sys
try:
data=json.load(sys.stdin)
for s in data.get('statuses',[]):
if 'AI Code Review' in s.get('context',''):
print(s['state']+'|'+s.get('description',''))
break
except: pass
" 2>/dev/null)
if [ -n "$AI_STATUS" ]; then
AI_REVIEW_STATUS="${AI_STATUS%%|*}"
AI_REVIEW_DESC="${AI_STATUS#*|}"
fi
fi
echo " ai-code-review: $AI_REVIEW_STATUS ($AI_REVIEW_DESC)"
echo ""
# 判断PR类型
SKIP_BACKEND="${{ needs.check-frontend-only.outputs.skip_backend }}"
SKIP_FRONTEND="${{ needs.check-frontend-only.outputs.skip_frontend }}"
echo "PR类型: skip_backend=$SKIP_BACKEND, skip_frontend=$SKIP_FRONTEND"
# 必填检查项(根据PR类型决定)
# 通用检查(所有PR都必须过)
REQUIRED_GENERAL=(
"validate-code-quality:$RESULT_CODE_QUALITY"
"validate-type-check:$RESULT_TYPE_CHECK"
"validate-migration:$RESULT_MIGRATION"
"frontend-lint:$RESULT_FRONTEND_LINT"
"build-pr:$RESULT_BUILD_PR"
"ai-code-review:$AI_REVIEW_STATUS"
)
# 后端检查
REQUIRED_BACKEND=(
"unit-tests:$RESULT_UNIT_TESTS"
"integration-tests:$RESULT_INTEGRATION"
)
# 前端检查
REQUIRED_FRONTEND=(
"frontend-unit-test:$RESULT_FRONTEND_UNIT"
)
ALL_PASSED=true
FAILED_ITEMS=()
check_job() {
local name=$1
local result=$2
if [ "$result" = "success" ]; then
echo " ✅ $name: success"
elif [ "$result" = "skipped" ]; then
echo " ⏭️ $name: skipped(跳过,不影响)"
else
echo " ❌ $name: $result"
ALL_PASSED=false
FAILED_ITEMS+=("$name=$result")
fi
}
echo ""
echo "=== 通用检查(所有PR必填)==="
for item in "${REQUIRED_GENERAL[@]}"; do
name="${item%%:*}"
result="${item##*:}"
# AI Code Review pending时不阻塞(可能还在跑),等它跑完自然会重跑Gate
if [ "$name" = "ai-code-review" ] && [ "$result" = "pending" ]; then
echo " ⏳ $name: pending(审查中,暂不阻塞)"
continue
fi
check_job "$name" "$result"
done
if [ "$SKIP_BACKEND" != "true" ]; then
echo ""
echo "=== 后端检查 ==="
for item in "${REQUIRED_BACKEND[@]}"; do
name="${item%%:*}"
result="${item##*:}"
check_job "$name" "$result"
done
else
echo ""
echo "=== 后端检查(纯前端PR,跳过)==="
fi
if [ "$SKIP_FRONTEND" != "true" ]; then
echo ""
echo "=== 前端检查 ==="
for item in "${REQUIRED_FRONTEND[@]}"; do
name="${item%%:*}"
result="${item##*:}"
check_job "$name" "$result"
done
else
echo ""
echo "=== 前端检查(纯后端PR,跳过)==="
fi
echo ""
if [ "$ALL_PASSED" = "true" ]; then
echo "✅ CI Gate: PASSED"
echo "gate_result=success" >> $GITHUB_OUTPUT
exit 0
else
echo "❌ CI Gate: FAILED"
echo "失败项: ${FAILED_ITEMS[*]}"
echo "gate_result=failure" >> $GITHUB_OUTPUT
exit 1
fi
- name: Report CI trace
if: always()
shell: sh
env:
AGENTLOOP_LICENSE_KEY: ${{ secrets.AGENTLOOP_LICENSE_KEY }}
run: |
STATUS="ok"
[ "${{ steps.gate.outputs.gate_result }}" = "success" ] || STATUS="error"
START_TIME=""
[ -f /tmp/ci_job_start_time ] && START_TIME=$(cat /tmp/ci_job_start_time)
python3 scripts/ci/ci_trace_report.py --service xiaoxia-saas-ci --status $STATUS --start-time "$START_TIME" || true
python3 scripts/ci/ci_trace_report.py --service xiaoxia-saas-ci --status $STATUS --start-time "$START_TIME" || true
+6 -6
View File
@@ -16,15 +16,15 @@ permissions:
jobs:
monitor:
name: Monitor CI Trigger Reliability
runs-on: ci-l2
runs-on: ubuntu-latest
timeout-minutes: 5
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
uses: actions/checkout@v3
# 网络波动自动重试2次
retry:
max_attempts: 2
retry_on: error
- name: Check CI trigger status for all open PRs
env:
+10 -10
View File
@@ -15,18 +15,20 @@ concurrency:
jobs:
code-review:
name: AI Code Review
runs-on: ci-l2
runs-on: ubuntu-latest
# 跳过草稿 PR
if: ${{ !gitea.event.pull_request.draft }}
steps:
# actions/checkout 由 runner 在宿主机层面处理,不受容器网络影响
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
uses: actions/checkout@v3
with:
fetch-depth: 0
# 网络波动自动重试2次
retry:
max_attempts: 2
retry_on: error
- name: Install dependencies
run: |
@@ -48,7 +50,6 @@ jobs:
GITEA_TOKEN: ${{ secrets.REVIEW_GITEA_TOKEN }}
REPO_NAME: ${{ gitea.repository }}
PR_NUMBER: ${{ gitea.event.pull_request.number }}
PR_HEAD_SHA: ${{ gitea.event.pull_request.head.sha }}
# LLM 提供商: coze (扣子原生Bot) / openai (OpenAI兼容)
LLM_PROVIDER: "coze"
# 扣子模式配置(默认国内站 api.coze.cn
@@ -61,9 +62,8 @@ jobs:
LLM_TIMEOUT: "120"
run: |
python3 scripts/ci_code_review.py
# 注意:脚本退出码决定job状态
# - 有阻塞级问题 → exit 1 → job失败 → 门禁拦截
# - 无阻塞级问题/LLM异常 → exit 0 → 通过(fail-open
# 审查脚本异常不影响 CI 通过
continue-on-error: true
- name: Report CI trace
if: always()
+136 -34
View File
@@ -1,5 +1,4 @@
name: Daily Health Check
# 注意:使用 curl step_checkout.sh 方式以兼容 docker runner
on:
schedule:
@@ -13,7 +12,7 @@ jobs:
# ── 1. 生产环境冒烟测试 ─────────────────────────────────────────────
production-smoke:
name: Production Smoke Test
runs-on: ci-l2
runs-on: saas
timeout-minutes: 8
outputs:
report: ${{ steps.smoke.outputs.report }}
@@ -24,9 +23,47 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sH "Authorization: token $GITHUB_TOKEN" \
"${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" \
| bash
set -eu
python3 - <<'PY'
import io, os, tarfile, time, urllib.request, urllib.error
url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
last_err = None
for attempt in range(5):
try:
with urllib.request.urlopen(request, timeout=120) as response:
archive = response.read()
break
except urllib.error.HTTPError as e:
last_err = e
if e.code >= 500 and attempt < 4:
wait = 2 ** attempt
print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
except Exception as e:
last_err = e
if attempt < 4:
wait = 2 ** attempt
print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
else:
raise last_err
with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
for member in tar.getmembers():
name = member.name
if name == root_prefix[:-1]:
continue
if name.startswith(root_prefix):
member.name = name[len(root_prefix):]
if member.name:
tar.extract(member, '.')
PY
- name: Production health check & smoke test
id: smoke
shell: sh
@@ -84,10 +121,10 @@ jobs:
# ── 2. Staging API 集成测试 ─────────────────────────────────────────
staging-api-tests:
name: Staging API Integration Tests
runs-on: ci-l2
runs-on: saas
timeout-minutes: 10
outputs:
report: ${{ steps.report.outputs.report }}
report: ${{ steps.smoke.outputs.report }}
steps:
- name: Checkout code
@@ -95,15 +132,50 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sH "Authorization: token $GITHUB_TOKEN" \
"${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" \
| bash
set -eu
python3 - <<'PY'
import io, os, tarfile, time, urllib.request, urllib.error
url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
last_err = None
for attempt in range(5):
try:
with urllib.request.urlopen(request, timeout=120) as response:
archive = response.read()
break
except urllib.error.HTTPError as e:
last_err = e
if e.code >= 500 and attempt < 4:
wait = 2 ** attempt
print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
except Exception as e:
last_err = e
if attempt < 4:
wait = 2 ** attempt
print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
else:
raise last_err
with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
for member in tar.getmembers():
name = member.name
if name == root_prefix[:-1]:
continue
if name.startswith(root_prefix):
member.name = name[len(root_prefix):]
if member.name:
tar.extract(member, '.')
PY
- name: Run API smoke test on staging
id: smoke
shell: sh
env:
STAGING_TEST_USER: ${{ secrets.STAGING_TEST_USER }}
STAGING_TEST_PASSWORD: ${{ secrets.STAGING_TEST_PASSWORD }}
run: |
set +e
START_TIME=$(date +%s)
@@ -111,8 +183,8 @@ jobs:
docker run --rm \
-e BASE_URL=https://staging-api.xiaoxiajianji.com \
-e WEB_URL=https://staging.xiaoxiajianji.com \
-e TEST_USER="$STAGING_TEST_USER" \
-e TEST_PASSWORD="$STAGING_TEST_PASSWORD" \
-e TEST_USER=18314979086@163.com \
-e TEST_PASSWORD=Ying1234 \
-e CLEANUP_ENABLED=1 \
-e PERF_CHECK_ENABLED=1 \
-e PERF_WARN_THRESHOLD_MS=500 \
@@ -198,10 +270,10 @@ jobs:
# ── 3. Staging 浏览器 E2E ──────────────────────────────────────────
staging-e2e:
name: Staging Browser E2E
runs-on: ci-l2
runs-on: saas
timeout-minutes: 15
outputs:
report: ${{ steps.e2e.outputs.report }}
report: ${{ steps.smoke.outputs.report }}
steps:
- name: Checkout code
@@ -209,9 +281,47 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sH "Authorization: token $GITHUB_TOKEN" \
"${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" \
| bash
set -eu
python3 - <<'PY'
import io, os, tarfile, time, urllib.request, urllib.error
url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
last_err = None
for attempt in range(5):
try:
with urllib.request.urlopen(request, timeout=120) as response:
archive = response.read()
break
except urllib.error.HTTPError as e:
last_err = e
if e.code >= 500 and attempt < 4:
wait = 2 ** attempt
print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
except Exception as e:
last_err = e
if attempt < 4:
wait = 2 ** attempt
print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
else:
raise last_err
with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
for member in tar.getmembers():
name = member.name
if name == root_prefix[:-1]:
continue
if name.startswith(root_prefix):
member.name = name[len(root_prefix):]
if member.name:
tar.extract(member, '.')
PY
- name: Run Playwright E2E on staging
id: e2e
shell: sh
@@ -261,7 +371,7 @@ jobs:
# ── 4. 性能基线巡检 ────────────────────────────────────────────────
performance-check:
name: Performance Baseline Check
runs-on: ci-l2
runs-on: saas
timeout-minutes: 8
outputs:
report: ${{ steps.report.outputs.report }}
@@ -270,9 +380,6 @@ jobs:
- name: Run performance baseline checks
id: perf
shell: sh
env:
STAGING_TEST_USER: ${{ secrets.STAGING_TEST_USER }}
STAGING_TEST_PASSWORD: ${{ secrets.STAGING_TEST_PASSWORD }}
run: |
set +e
START_TIME=$(date +%s)
@@ -308,10 +415,9 @@ jobs:
# 先登录获取 token
echo "--- 准备: 获取测试 Token ---"
LOGIN_BODY="{\"email\":\"$STAGING_TEST_USER\",\"password\":\"$STAGING_TEST_PASSWORD\"}"
AUTH_RESP=$(curl -s -w "\n%{http_code}" -X POST \
-H "Content-Type: application/json" \
-d "$LOGIN_BODY" \
-d '{"email":"18314979086@163.com","password":"Ying1234"}' \
"https://staging-api.xiaoxiajianji.com/api/v1/auth/login" \
--max-time 10 2>&1)
AUTH_CODE=$(echo "$AUTH_RESP" | tail -1)
@@ -341,7 +447,7 @@ jobs:
# 构建 curl 命令
CURL_ARGS="-s -o /dev/null -w '%{http_code} %{time_total}' --max-time 30"
if [ "$method" = "POST" ]; then
CURL_ARGS="$CURL_ARGS -X POST -H 'Content-Type: application/json' -d \"$LOGIN_BODY\""
CURL_ARGS="$CURL_ARGS -X POST -H 'Content-Type: application/json' -d '{\"email\":\"18314979086@163.com\",\"password\":\"Ying1234\"}'"
fi
if [ -n "$TOKEN" ] && [ "$name" != "健康检查" ]; then
CURL_ARGS="$CURL_ARGS -H 'Authorization: Bearer $TOKEN'"
@@ -389,9 +495,6 @@ jobs:
- name: Generate performance report
id: report
shell: sh
env:
STAGING_TEST_USER: ${{ secrets.STAGING_TEST_USER }}
STAGING_TEST_PASSWORD: ${{ secrets.STAGING_TEST_PASSWORD }}
run: |
set +e
echo ""
@@ -406,11 +509,10 @@ jobs:
RESULTS=""
START_TIME=$(date +%s)
LOGIN_BODY="{\"email\":\"$STAGING_TEST_USER\",\"password\":\"$STAGING_TEST_PASSWORD\"}"
# 先登录获取 token
AUTH_RESP=$(curl -s -w "\n%{http_code}" -X POST \
-H "Content-Type: application/json" \
-d "$LOGIN_BODY" \
-d '{"email":"18314979086@163.com","password":"Ying1234"}' \
"https://staging-api.xiaoxiajianji.com/api/v1/auth/login" \
--max-time 10 2>&1)
AUTH_CODE=$(echo "$AUTH_RESP" | tail -1)
@@ -426,7 +528,7 @@ jobs:
local CURL_ARGS="-s -o /dev/null -w '%{http_code} %{time_total}' --max-time 30"
if [ "$method" = "POST" ]; then
CURL_ARGS="$CURL_ARGS -X POST -H 'Content-Type: application/json' -d \"$LOGIN_BODY\""
CURL_ARGS="$CURL_ARGS -X POST -H 'Content-Type: application/json' -d '{\"email\":\"18314979086@163.com\",\"password\":\"Ying1234\"}'"
fi
if [ -n "$TOKEN" ] && [ "$name" != "健康检查" ]; then
CURL_ARGS="$CURL_ARGS -H 'Authorization: Bearer $TOKEN'"
@@ -529,7 +631,7 @@ jobs:
# ── 5. 每日巡检汇总报告 ────────────────────────────────────────────
daily-report:
name: Daily Check Report
runs-on: ci-l2
runs-on: saas
timeout-minutes: 2
if: always()
needs:
+1 -6
View File
@@ -8,11 +8,6 @@ on:
permissions:
contents: read
concurrency:
group: pr-automation-${{ gitea.event.pull_request.number }}
cancel-in-progress: true
jobs:
auto-approve:
name: Auto Approve on CI Green
@@ -61,7 +56,7 @@ jobs:
name: Auto Merge on CI Green + Approved
runs-on: ci-check
if: github.event_name == 'pull_request' && !github.event.pull_request.draft && github.event.pull_request.base.ref == 'develop'
timeout-minutes: 3 # 短作业模式:检查一次,不满足就退出,由pr-auto-scan每5分钟定时兜底
timeout-minutes: 45 # 长等待模式:等CI全绿后自动合并,不遗漏任何PR
steps:
- name: Checkout code
shell: sh
+1 -1
View File
@@ -120,7 +120,7 @@ jobs:
PREVIEW_SSH_KEY: ${{ secrets.PREVIEW_SSH_KEY }}
run: |
set -eux
preview_host="${PREVIEW_SSH_HOST:-47.98.113.167}"
preview_host="${PREVIEW_SSH_HOST:-172.30.18.197}"
preview_user="${PREVIEW_SSH_USER:-deploy}"
preview_port="${PREVIEW_SSH_PORT:-22222}"
preview_dir="/var/www/preview/pr-${PR_NUMBER}"
+37 -21
View File
@@ -93,28 +93,44 @@ jobs:
shell: sh
run: |
set -eu
cd apps/web
NPM_CACHE_VOLUME="xiaoxia-npm-cache"
if ! docker volume inspect "$NPM_CACHE_VOLUME" >/dev/null 2>&1; then
docker volume create "$NPM_CACHE_VOLUME" >/dev/null
echo "Created npm cache volume: $NPM_CACHE_VOLUME"
fi
# Install dependencies with retry
for i in 1 2 3; do
npm ci --registry=https://registry.npmmirror.com --no-audit --no-fund && break
echo "npm install failed, retry $i/3..."
[ $i -eq 3 ] && exit 1
rm -rf node_modules
sleep 5
done
# TypeScript check
echo "=== TypeScript check ==="
./node_modules/.bin/tsc --noEmit
# Vite build
echo "=== Vite build ==="
export VITE_API_URL=https://staging-api.xiaoxiajianji.com
./node_modules/.bin/vite build
echo "=== Build completed ==="
ls -la dist/
docker run --rm \
-v "$PWD:/workspace" \
-v "$NPM_CACHE_VOLUME:/workspace/apps/web/node_modules" \
-w /workspace/apps/web \
-e VITE_API_URL=https://staging-api.xiaoxiajianji.com \
docker.m.daocloud.io/library/node:20 \
sh -lc '
PACKAGE_LOCK_HASH=$(md5sum package-lock.json 2>/dev/null | cut -d" " -f1)
CACHE_HASH_FILE="node_modules/.package-lock-hash"
CACHE_VALID=false
if [ -f "$CACHE_HASH_FILE" ] && [ "$(cat "$CACHE_HASH_FILE")" = "$PACKAGE_LOCK_HASH" ] && [ -x "node_modules/.bin/vite" ] && [ -x "node_modules/.bin/tsc" ]; then
CACHE_VALID=true
echo "Cache hit: dependencies valid, skipping npm ci"
fi
if [ "$CACHE_VALID" = "false" ]; then
echo "Cache miss or invalid: running npm ci..."
if ! npm ci --include=dev; then
echo "npm ci failed, cleaning node_modules and retrying..."
rm -rf node_modules
mkdir -p node_modules
npm ci --include=dev
fi
echo "$PACKAGE_LOCK_HASH" > "$CACHE_HASH_FILE"
echo "Dependencies installed, cache updated"
fi
echo "Running TypeScript check..."
npx --no-install tsc
echo "Running Vite build..."
npx --no-install vite build
echo "Build completed successfully"
ls -la dist/
'
- name: Install SSH client and rsync
shell: sh
+55 -38
View File
@@ -7,25 +7,35 @@ on:
- main
paths:
- 'requirements-base.txt'
- 'requirements.txt'
- 'requirements-worker.txt'
- 'infra/docker/worker-base.Dockerfile'
workflow_dispatch:
- 'infra/docker/worker-base-builder.Dockerfile'
- 'infra/docker/worker-base-runtime.Dockerfile'
workflow_dispatch: # 支持手动触发
jobs:
build-worker-base:
name: Build Worker Base Image
name: Build Worker Base Images
runs-on: runtime-builder
timeout-minutes: 45
timeout-minutes: 30
strategy:
fail-fast: false
matrix:
include:
- name: builder
dockerfile: infra/docker/worker-base-builder.Dockerfile
image_name: worker-base-builder
cache_name: worker-base-builder-cache
- name: runtime
dockerfile: infra/docker/worker-base-runtime.Dockerfile
image_name: worker-base-runtime
cache_name: worker-base-runtime-cache
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sH "Authorization: token $GITHUB_TOKEN" \
"${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" \
| bash
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Docker login to Registry
shell: sh
@@ -38,8 +48,7 @@ jobs:
set -eu
for i in 1 2 3; do
echo "=== Docker login 尝试 $i/3 ==="
if printf '%s' "${ACR_PASSWORD}" | docker login xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com -u "${ACR_USERNAME}" --password-stdin \
&& docker login git.xiaoxiajianji.com -u "${GITEA_REGISTRY_USER}" -p "${GITEA_REGISTRY_TOKEN}"; then
if printf '%s' "${ACR_PASSWORD}" | docker login xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com -u "${ACR_USERNAME}" --password-stdin && docker login git.xiaoxiajianji.com -u "${GITEA_REGISTRY_USER}" -p "${GITEA_REGISTRY_TOKEN}"; then
echo "✅ Docker login successful"
break
fi
@@ -47,40 +56,48 @@ jobs:
sleep 5
done
- name: Build and push Worker base image
- name: Setup buildx builder
shell: sh
run: |
set -eu
ACR_IMAGE="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji/saas-worker-base:latest"
GITEA_IMAGE="git.xiaoxiajianji.com/xiaoxia-saas/saas-worker-base:latest"
echo "=== Building Worker base image ==="
# 使用普通 docker build(单平台不需要 buildx
docker build \
-f infra/docker/worker-base.Dockerfile \
-t "${ACR_IMAGE}" \
.
BUILDER_NAME="ci-builder-${GITHUB_RUN_ID}-${{ matrix.name }}"
if ! docker buildx inspect "$BUILDER_NAME" > /dev/null 2>&1; then
docker buildx create --use --name "$BUILDER_NAME" --driver docker-container
echo "Created $BUILDER_NAME"
else
docker buildx use "$BUILDER_NAME"
echo "Using existing $BUILDER_NAME"
fi
docker buildx inspect --bootstrap
- name: Build and push base image
shell: sh
run: |
set -eu
REGISTRY="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji"
IMAGE_TAG="${REGISTRY}/${{ matrix.image_name }}:latest"
SAFE_REF_NAME=$(echo "${GITHUB_REF_NAME}" | tr '/' '-')
CACHE_REF="${REGISTRY}/${{ matrix.cache_name }}:${SAFE_REF_NAME}"
echo "=== Building ${{ matrix.name }} base image ==="
echo "Image: ${IMAGE_TAG}"
echo "Cache: ${CACHE_REF}"
# 用通用构建脚本
bash scripts/ci/docker_build_push.sh ${{ matrix.dockerfile }} "${IMAGE_TAG}" "${CACHE_REF}"
# 同时推送到 Gitea Packages 作为备份(可选)
GITEA_IMAGE="git.xiaoxiajianji.com/xiaoxia-saas/${{ matrix.image_name }}:latest"
docker tag "${IMAGE_TAG}" "${GITEA_IMAGE}"
docker push "${GITEA_IMAGE}" || echo "Gitea Packages push failed (non-fatal)"
echo ""
echo "✅ Image built successfully"
echo "✅ ${{ matrix.name }} base image built and pushed"
# 推送到 ACR
echo "=== Pushing to ACR ==="
docker push "${ACR_IMAGE}"
echo "✅ Pushed to ACR"
# 打标签并推送到 Gitea Packages 作为备份
echo "=== Pushing to Gitea Packages ==="
docker tag "${ACR_IMAGE}" "${GITEA_IMAGE}"
docker push "${GITEA_IMAGE}" || echo "⚠️ Gitea Packages push failed (non-fatal)"
echo "✅ Gitea backup push completed"
- name: Cleanup
- name: Cleanup buildx builder
if: always()
shell: sh
run: |
ACR_IMAGE="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji/saas-worker-base:latest"
docker rmi "${ACR_IMAGE}" 2>/dev/null || true
docker image prune -f 2>/dev/null || true
echo "Cleanup done"
docker buildx rm "ci-builder-${GITHUB_RUN_ID}-${{ matrix.name }}" 2>/dev/null || true
docker buildx prune -f 2>/dev/null || true
echo "Builder cleanup done"
-222
View File
@@ -1,222 +0,0 @@
---
AIGC:
Label: "1"
ContentProducer: 001191110102MACQD9K64018705
ProduceID: 15868733686388_0/project_7655981463858544923-files/docs/1197_preview_generation_proposal.md
ReservedCode1: ""
ContentPropagator: 001191110102MACQD9K64028705
PropagateID: 15868733686388#1785468313901
ReservedCode2: ""
---
# #1197 预览生成接口方案评估
## 背景
智能剪辑「一键生成」流程中,第3步预览生成当前被跳过,直接进入下一步。需要实现真正的预览生成功能,让用户在正式生成前能看到效果预览。
## 现状分析
### 现有生成链路
```
API 触发生成 → GenerationTask入库 → Celery异步任务 → UnifiedRenderService渲染 → OSS上传 → 更新状态
```
**关键节点:**
1. **API层**`POST /generation-tasks``POST /templates/{id}/generate` 触发生成
2. **任务调度**Celery task `worker.generate_video`
3. **渲染引擎**`UnifiedRenderService`(统一渲染引擎,已接入9个效果层)
4. **输出配置**:默认 720p (1280x720),支持 `resolution` 字段自定义
5. **产物存储**`GeneratedVideo` 表记录,OSS 存储视频文件
### 已有可复用能力
| 能力 | 位置 | 是否可复用 |
|------|------|-----------|
| 任务创建与状态管理 | `GenerationTask` + `CreateGenerationTaskUseCase` | ✅ 是 |
| 素材下载与预处理 | `_download_video_assets` / `_download_voice_asset` | ✅ 是 |
| 统一渲染引擎 | `UnifiedRenderService` | ✅ 是 |
| 分辨率配置 | `resolution` 字段已支持 | ✅ 是 |
| 混音与后处理 | `_render_video` 内流程 | ✅ 是 |
| OSS 上传与查重 | `_upload_and_dedup` | ✅ 是 |
| 进度追踪 | `append_log` / `progress` 字段 | ✅ 是 |
## 方案对比
### 方案A:复用现有生成链路 + is_preview 标记(推荐)
**思路**:在现有 GenerationTask 上加 `is_preview` 标记,预览生成走完整链路但参数降级。
**改动点:**
1. **数据模型**`GenerationTask``is_preview: bool` 字段(默认 false);`GeneratedVideo``is_preview: bool`
2. **API 层**:生成接口加 `is_preview` 参数,预览任务不计入配额
3. **渲染参数**:预览模式下自动调整
- 分辨率:480p (854x480)
- 时长:限制前 15 秒(或模板第一个片段)
- 码率:降低至 1.5Mbps(正式 4Mbps
- 效果层:跳过高级转场/粒子特效等耗时效果
4. **任务调度**:预览任务走低优先级队列(或复用现有队列,标记优先级)
5. **前端对接**:预览生成结果带 `is_preview=true` 标记,前端展示"预览"标签
**优点:**
- 代码复用率 90%+,改动最小
- 与正式生成逻辑一致,预览效果真实可信
- 进度查询、结果展示等功能直接复用
- 后续可平滑升级:预览满意后一键转正式生成
**缺点:**
- 需要区分预览和正式任务,避免数据混淆
- 预览任务和正式任务竞争同一队列资源(可后续优化为独立队列)
**开发量估算**2-3 天
- 数据模型 + 迁移:0.5 天
- API 层改造:0.5 天
- 渲染参数降级:1 天
- 测试 + 联调:1 天
---
### 方案B:新建独立预览接口 + 轻量渲染逻辑
**思路**:新建独立的预览生成接口,使用简化的渲染逻辑(如只拼接素材+基础配音,跳过大部分效果)。
**改动点:**
1. 新增 `PreviewTask` 数据模型
2. 新增 `POST /api/v1/preview/generate` 接口
3. 新增独立的 Celery task `worker.generate_preview`
4. 简化渲染流程:只做素材裁剪+拼接+配音,跳过转场/滤镜/字幕特效等
**优点:**
- 完全隔离,不影响正式生成链路
- 可以做极致优化,预览生成速度快
- 数据模型清晰,不会混淆
**缺点:**
- 代码重复率高,两套生成逻辑维护成本翻倍
- 预览效果与正式生成可能不一致(效果层差异)
- 前端需要对接两套接口
- 无法从预览升级为正式生成(需重新走完整流程)
**开发量估算**4-5 天
- 数据模型 + 接口:1 天
- 简化渲染逻辑:2 天
- 测试 + 联调:1-2 天
---
### 方案C:图片预览(首帧/关键帧截图)
**思路**:不生成视频,只生成几张关键帧的预览图片。
**优点:**
- 生成速度极快(秒级)
- 资源消耗小
**缺点:**
- 预览效果差,用户无法感知动态效果
- 无法验证配音、转场、节奏等时间维度的效果
- 用户体验不佳,不如"真预览"有说服力
**开发量估算**1-2 天
---
## 推荐方案:方案A(复用现有生成链路)
### 核心理由
1. **效果保真**:预览和正式生成用同一套渲染引擎,效果一致,用户信任度高
2. **开发效率**90% 代码复用,2-3 天可上线
3. **可扩展性强**:后续可加「预览转正式」「低分辨率快速预览」等增强功能
4. **维护成本低**:一套生成逻辑,bug 修复和新功能同时生效
### 详细设计
#### 1. 数据模型变更
```python
# GenerationTask 新增字段
is_preview: bool = False
"""是否为预览生成"""
preview_of: str = ""
"""预览对应的正式任务 ID(或反向关联)"""
# GeneratedVideo 新增字段
is_preview: bool = False
"""是否为预览视频"""
```
**迁移**alembic 新增 migration,两个表各加 1-2 个字段。
#### 2. API 层
```
POST /api/v1/generation-tasks
Body 增加 is_preview: bool = false
POST /api/v1/templates/{id}/generate
Query 增加 is_preview: bool = false
```
**配额处理**:预览生成不计入用户配额,不占用生成次数限制。
#### 3. 渲染参数降级
| 参数 | 正式生成 | 预览生成 |
|------|---------|---------|
| 分辨率 | 720p (1280x720) | 480p (854x480) |
| 码率 | 4 Mbps | 1.5 Mbps |
| 时长 | 完整时长 | 前 15 秒(或第一段) |
| 帧率 | 30 fps | 24 fps |
| 转场效果 | 完整转场 | 仅淡入淡出(或简单切) |
| 特效滤镜 | 全部启用 | 跳过粒子/光效等高级效果 |
| 字幕 | 完整渲染 | 正常渲染(字幕是核心信息) |
| 配音 | 完整混音 | 正常混音(配音是核心信息) |
**实现方式**:在 `_render_video` 或 UnifiedRenderService 入口处,根据 `is_preview` 标记调整渲染配置。
#### 4. 任务调度
- 初期复用现有队列,预览任务正常排队
- 后续如需优化,可拆分独立预览队列(低优先级)
- 预览任务可设置较短超时时间
#### 5. 前端对接
- 调用生成接口时传 `is_preview=true`
- 结果列表中预览视频带「预览」标签
- 预览满意后可一键「升级为正式生成」(重新触发全分辨率生成,可复用素材下载缓存)
### 实施步骤
**Phase 1MVP2天):**
1. 数据模型 + 迁移
2. API 层支持 is_preview 参数
3. 渲染分辨率降级(480p
4. 不计入配额
5. 基础测试
**Phase 2(优化,1-2天):**
1. 时长限制(前15秒)
2. 效果层降级(跳高级效果)
3. 预览任务低优先级队列
4. 预览转正式生成功能
## 与前端对齐点
1. 预览生成的触发时机(第3步自动生成?用户点击才生成?)
2. 预览时长是固定15秒还是完整但低清?
3. 是否需要「预览转正式生成」功能
4. 预览视频的展示形态(和正式视频一样还是有特殊UI)
## 风险与注意事项
1. **数据混淆**:确保统计、计费、列表展示时正确区分预览和正式任务
2. **存储成本**:预览视频也占 OSS 空间,可设置自动清理(7天后自动删除)
3. **用户预期**:要明确告诉用户这是预览,效果和正式生成一致但清晰度低
4. **并发压力**:如果用户频繁生成预览,可能增加系统负载,需要限流
---
> 本内容由 Coze AI 生成,请遵循相关法律法规及《人工智能生成合成内容标识办法》使用与传播。
-382
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@@ -1,382 +0,0 @@
# #1197 预览生成接口技术方案(v2)
> 更新说明:v2 新增「多版本预览生成」能力,支持一个模板生成多个不重复的预览视频,左侧列表展示,用户可挑选满意的版本转正式生成。
## 1. 背景与目标
**现状**:智能剪辑「一键生成」第3步预览生成被跳过,用户直接进入正式生成,缺少效果预览环节。
**目标**
1. ✅ 实现真正的预览生成(低分辨率快速出片)
2.**支持生成 1~N 个不重复的预览版本**(默认 3 个),左侧列表展示
3. ✅ 预览满意后可一键转正式生成(复用素材下载缓存)
4. ✅ 不计入用户配额,不占用正式生成次数
---
## 2. 现有生成链路分析
### 2.1 链路总览
```
API 触发生成 → GenerationTask入库 → Celery异步任务
→ 下载素材 → 构建plan/clips → UnifiedRenderService渲染
→ 混音后处理 → OSS上传 + 查重 → 更新状态
```
### 2.2 决定视频差异的变量
要做"多个不重复版本",先分析哪些环节可以引入变化:
| 变量 | 当前行为 | 能否引入变化 | 影响程度 |
|------|---------|------------|---------|
| 素材选择 | 按 asset_ids 顺序全用 | ✅ 可随机选择子集/不同组合 | 大 |
| 素材排序 | 按 asset_ids 顺序 | ✅ 可 shuffle 重排 | 大 |
| 配音选择 | 固定 voice_library_id | ✅ 可选不同音色 | 中 |
| 标题选择 | 固定 title_ids 或随机选 | ✅ 可选不同标题 | 中 |
| BGM | 固定 bgm_config | ✅ 可选不同BGM | 小 |
| 转场效果 | 模板固定 | ✅ 可随机化转场类型 | 小 |
| 播放速度 | 模板固定 | ✅ 可微调速度 | 小 |
| 分辨率/码率 | 固定 | ✅ 预览可降级 | 不影响内容 |
### 2.3 可复用能力
- 任务创建与状态管理:`GenerationTask` + `CreateGenerationTaskUseCase`
- 素材下载与预处理:`_download_all_assets`
- 统一渲染引擎:`UnifiedRenderService`
- 分辨率配置:`resolution` 字段已支持
- 批量任务:`batch_id` 字段已存在(可用于预览组)
---
## 3. 总体方案:复用现有链路 + 多变体引擎
**核心思路**:沿用 v1 的"复用现有生成链路 + is_preview 标记"方案,在此基础上增加「多版本生成」能力。
**架构**
```
预览生成请求(count=N
创建预览批次(preview_batch
变体引擎生成 N 个变体参数(variation seed + 参数组合)
为每个变体创建 1 个 GenerationTaskis_preview=true
N 个 Celery 任务并行执行(走现有生成链路,参数降级)
N 个结果汇聚,前端左侧列表展示
```
---
## 4. 详细设计
### 4.1 数据模型变更
#### 4.1.1 GenerationTask 新增字段
```python
# 现有字段保留,新增:
is_preview: bool = False
"""是否为预览生成"""
preview_batch_id: str = ""
"""预览批次 ID(同批次的 N 个预览共享一个 batch)"""
variant_seed: int = 0
"""变体种子,用于控制随机化行为(素材选择、排序、转场等)"""
variant_params: dict = field(default_factory=dict)
"""变体参数快照(记录本次使用了哪些素材、标题、配音等,可追溯)
{
"asset_ids": [...], # 实际选用的素材子集
"title_id": "", # 选用的标题
"voice_id": "", # 选用的配音
"transition_style": "", # 转场风格
"bgm_track": "", # BGM 音轨
}
"""
```
#### 4.1.2 GeneratedVideo 新增字段
```python
is_preview: bool = False
"""是否为预览视频"""
preview_batch_id: str = ""
"""所属预览批次"""
variant_index: int = 0
"""在批次中的序号(0, 1, 2..."""
```
#### 4.1.3 迁移方案
alembic 新增 migration,两个表各加 4 个字段,默认值为空/false,无数据回填成本。
---
### 4.2 变体引擎(Variant Engine
**核心组件**:根据 count 和 seed,生成 N 组互不相同的生成参数。
#### 4.2.1 变纬度设计
| 维度 | 策略 | 说明 |
|------|------|------|
| **素材子集选择** | 从素材池中随机选 M 个(M=min(素材数, 模板clip数*2)) | 版本差异最大的来源 |
| **素材排序** | 随机打乱顺序 | 影响叙事节奏 |
| **标题选择** | 从 title_ids 中随机选 1 个 | 影响文案内容 |
| **配音选择** | 从 voice_ids 中随机选 1 个(如有多个) | 影响听觉体验 |
| **转场风格** | 从预设转场池中随机选 1 种 | 影响视觉过渡 |
| **BGM 选择** | 从 bgm 列表中随机选 1 首(如有配置) | 影响氛围 |
#### 4.2.2 去重机制
- 同一批次内,变体参数必须两两不同(至少素材组合或排序不同)
- 使用 `variant_seed` 保证可复现(相同 seed → 相同变体)
- 如果素材数量不足导致无法生成 N 个不同版本,按实际能生成的数量返回
#### 4.2.3 接口设计
```python
def generate_variants(
count: int,
seed: int,
asset_pool: list[str], # 可用素材 ID 列表
title_pool: list[str] = [], # 可用标题 ID 列表
voice_pool: list[str] = [], # 可用配音 ID 列表
template_id: str = "",
) -> list[dict]:
"""
生成 count 组变体参数。
每组参数包含:asset_ids(选用的素材+排序)、title_id、voice_id、
transition_style 等,确保两两不同。
"""
```
---
### 4.3 API 层设计
#### 4.3.1 预览生成接口
```
POST /api/v1/templates/{template_id}/generate-preview
```
**请求体**
```json
{
"asset_library_id": "lib_xxx",
"asset_ids": ["asset_1", "asset_2", ...],
"title_ids": ["title_1", "title_2"],
"voice_ids": ["voice_1", "voice_2"],
"bgm_config": {},
"count": 3,
"seed": 0
}
```
| 参数 | 类型 | 必填 | 默认 | 说明 |
|------|------|------|------|------|
| template_id | path | ✅ | - | 模板 ID |
| asset_library_id | body | ✅ | - | 素材库 ID |
| asset_ids | body | ✅ | - | 素材池(从中选子集/排序) |
| title_ids | body | - | [] | 标题池(可选,不传则不用标题) |
| voice_ids | body | - | [] | 配音池(可选) |
| bgm_config | body | - | {} | BGM 配置 |
| count | body | - | 3 | 生成几个预览版本(1~10) |
| seed | body | - | 0 | 随机种子,0 表示随机 |
**响应**
```json
{
"preview_batch_id": "pb_xxx",
"count": 3,
"tasks": [
{
"task_id": "gen_xxx_0",
"variant_index": 0,
"status": "processing"
},
{
"task_id": "gen_xxx_1",
"variant_index": 1,
"status": "processing"
},
...
]
}
```
#### 4.3.2 预览批次查询接口
```
GET /api/v1/preview-batches/{batch_id}
```
返回批次内所有预览任务的状态、结果(已完成的带 video_url)。
**响应**
```json
{
"preview_batch_id": "pb_xxx",
"count": 3,
"completed_count": 2,
"tasks": [
{
"task_id": "gen_xxx_0",
"variant_index": 0,
"status": "completed",
"video_url": "https://oss.xxx/preview/xxx.mp4",
"duration": 15.5,
"thumbnail_url": "https://oss.xxx/preview/xxx.jpg"
},
...
]
}
```
#### 4.3.3 预览转正式生成
```
POST /api/v1/preview-batches/{batch_id}/tasks/{task_id}/promote
```
将某个预览版本升级为正式生成(复用素材缓存,重新全分辨率渲染)。
---
### 4.4 渲染参数降级
预览模式下自动调整以下参数:
| 参数 | 正式生成 | 预览生成 |
|------|---------|---------|
| 分辨率 | 720p (1280x720) | 480p (854x480) |
| 码率 | 4 Mbps | 1.5 Mbps |
| 帧率 | 30 fps | 24 fps |
| 时长 | 完整时长 | 前 15 秒(或第一段完整clip) |
| 转场效果 | 完整转场 | 仅淡入淡出 |
| 高级特效 | 全部启用 | 跳过粒子/光效等 |
| 字幕 | 完整渲染 | 正常渲染 |
| 配音 | 完整混音 | 正常混音 |
| 输出质量 | high | medium |
**实现位置**`_render_video` 函数入口处,根据 `is_preview` 标记调整渲染配置。
---
### 4.5 任务调度
- **并行执行**:N 个预览任务并行提交到 Celery,不排队等待
- **低优先级**:预览任务走独立队列(`preview_queue`),不抢占正式生成资源
- **超时控制**:预览任务超时时间 5 分钟(正式 30 分钟)
- **自动清理**:预览视频 7 天后自动从 OSS 删除,任务记录标记为 archived
---
## 5. 前端对接要点
### 5.1 交互流程
```
第2步选素材 → 第3步点击"生成预览"
→ 显示 loading + 进度
→ 预览陆续完成,左侧列表逐张出现
→ 用户点击左侧不同版本,右侧预览区切换
→ 用户选中满意版本 → 点击"正式生成"
```
### 5.2 需要对齐的接口
1. **预览创建**`POST /templates/{id}/generate-preview`
2. **批次状态轮询**`GET /preview-batches/{id}`(建议 2s 轮询,或走 SSE
3. **预览转正式**`POST /preview-batches/{id}/tasks/{task_id}/promote`
### 5.3 数据格式对齐
预览视频条目结构:
```json
{
"id": "gen_xxx",
"variant_index": 0,
"status": "completed",
"video_url": "https://...",
"duration": 15.5,
"file_size": 2850000,
"thumbnail_url": "https://...",
"is_preview": true
}
```
---
## 6. 配额与计费
- 预览生成**不计入**用户配额
- 同一模板 + 同一素材池,每天最多生成 3 次多版本预览(防滥用)
- 单个预览批次最多 10 个版本
---
## 7. 实施步骤
### Phase 1:单版本预览(MVP2 天)
1. 数据模型 + 迁移(is_preview 字段)
2. API 层支持 is_preview 参数
3. 渲染分辨率降级(480p
4. 不计入配额
5. 基础测试
### Phase 2:多版本预览(3 天)
1. 变体引擎实现(素材随机选择 + 排序 + 去重)
2. preview_batch 批次管理
3. 批量创建 N 个预览任务
4. 批次查询接口
5. 前端联调
### Phase 3:预览转正式 + 优化(2 天)
1. 预览转正式生成接口(promote)
2. 素材下载缓存复用
3. 独立预览队列(低优先级)
4. 自动清理机制
5. 完整测试 + 压测
---
## 8. 风险与注意事项
| 风险 | 影响 | 应对 |
|------|------|------|
| 并发预览任务过多打满 worker | 正式生成被阻塞 | 独立预览队列 + 限流 |
| 变体生成的视频差异不够大 | 用户觉得"都一样" | 优先素材子集+排序差异,保证视觉差异 |
| 预览视频占用 OSS 存储 | 存储成本上升 | 7 天自动清理 + 低码率 |
| N 个版本同时下载重复素材 | 带宽浪费 | 批次内共享一次下载(Phase 3 优化) |
| 用户预期管理 | 以为预览就是最终效果 | 明确标注"预览版",说明分辨率差异 |
---
## 9. 开发量估算
| 阶段 | 后端 | 前端 | 合计 |
|------|------|------|------|
| Phase 1 单版本预览 | 2 天 | 1 天 | 3 天 |
| Phase 2 多版本预览 | 3 天 | 2 天 | 5 天 |
| Phase 3 转正式+优化 | 2 天 | 1 天 | 3 天 |
| **总计** | **7 天** | **4 天** | **~7 天(并行)** |
---
## 10. 与 v1 方案的差异总结
1. **新增多版本能力**:从"生成1个预览"升级为"生成N个不重复预览"
2. **新增变体引擎**:负责素材选择/排序/配音/标题的随机化
3. **新增批次概念**preview_batch 管理一组预览任务
4. **新增 promote 接口**:预览转正式生成
5. **独立队列**:预览不抢占正式生成资源
6. **开发量**:从 2-3 天增加到约 7 天(后端)
Executable → Regular
+4 -7
View File
@@ -1,3 +1,4 @@
import os
from logging.config import fileConfig
from sqlalchemy import engine_from_config, pool
@@ -7,17 +8,13 @@ from alembic import context
# Import your models' Base here
from packages.adapters.sqlalchemy_impl.models import Base
# 使用统一配置入口获取 database_url,而非直接读环境变量
from packages.config import get_shared_settings
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
# 从统一配置系统获取 database_url,确保与应用使用同一配置源
settings = get_shared_settings()
if settings.database_url:
config.set_main_option("sqlalchemy.url", settings.database_url)
database_url = os.getenv("DATABASE_URL")
if database_url:
config.set_main_option("sqlalchemy.url", database_url)
# Interpret the config file for Python logging.
# This line sets up loggers basically.
@@ -1,64 +0,0 @@
"""#642 - 生成任务新增 bgm_config 字段
Revision ID: 052_generation_task_bgm_config
Revises: 051_generation_task_resolution
Create Date: 2026-07-25
Changes:
1. generation_tasks 表新增 bgm_config 字段(JSON类型),存储用户自定义BGM配置
2. 为空时使用默认空字典
背景:
#642 一键生成支持自定义BGM 功能在 SQLAlchemy 模型中加了 bgm_config 字段,
但遗漏了 alembic migration,导致 staging 环境数据库没有该列,
创建生成任务时直接 500。
"""
import sqlalchemy as sa
from alembic import context, op
revision = "052_generation_task_bgm_config"
down_revision = "051_generation_task_resolution"
branch_labels = None
depends_on = None
def upgrade() -> None:
conn = op.get_bind()
if context.get_context().dialect.name == "postgresql":
# 检查列是否已存在(幂等)
result = conn.execute(
sa.text(
"SELECT column_name FROM information_schema.columns "
"WHERE table_name = 'generation_tasks' AND column_name = 'bgm_config'"
)
)
if result.scalar() is not None:
return
op.add_column(
"generation_tasks",
sa.Column(
"bgm_config",
sa.JSON,
nullable=False,
server_default=sa.text("'{}'::json"),
),
)
def downgrade() -> None:
conn = op.get_bind()
if context.get_context().dialect.name == "postgresql":
# 检查列是否存在(幂等)
result = conn.execute(
sa.text(
"SELECT column_name FROM information_schema.columns "
"WHERE table_name = 'generation_tasks' AND column_name = 'bgm_config'"
)
)
if result.scalar() is None:
return
op.drop_column("generation_tasks", "bgm_config")
@@ -1,61 +0,0 @@
"""#1197 - 预览生成:generation_tasks 表新增 is_preview 字段
Revision ID: 053
Revises: 052
Create Date: 2026-08-15
Changes:
1. generation_tasks 表新增 is_preview 字段,标记是否为预览生成任务(低清 480p)
2. 默认 False,与现有正式生成任务兼容
3. 加索引以支持按预览/正式任务筛选
"""
import sqlalchemy as sa
from alembic import context, op
revision = "053_generation_task_is_preview"
down_revision = "052_generation_task_bgm_config"
branch_labels = None
depends_on = None
def upgrade() -> None:
conn = op.get_bind()
if context.get_context().dialect.name == "postgresql":
# 检查列是否已存在(幂等)
result = conn.execute(
sa.text(
"SELECT column_name FROM information_schema.columns "
"WHERE table_name = 'generation_tasks' AND column_name = 'is_preview'"
)
)
if result.scalar() is not None:
return
op.add_column(
"generation_tasks",
sa.Column("is_preview", sa.Boolean, nullable=False, server_default=sa.text("false")),
)
# 加索引
op.create_index(
"ix_generation_tasks_is_preview",
"generation_tasks",
["is_preview"],
)
def downgrade() -> None:
conn = op.get_bind()
if context.get_context().dialect.name == "postgresql":
result = conn.execute(
sa.text(
"SELECT column_name FROM information_schema.columns "
"WHERE table_name = 'generation_tasks' AND column_name = 'is_preview'"
)
)
if result.scalar() is None:
return
op.drop_index("ix_generation_tasks_is_preview", table_name="generation_tasks")
op.drop_column("generation_tasks", "is_preview")
@@ -1,82 +0,0 @@
"""确认生成 API 改造:为 generation_tasks 表添加 source_task_id、output_width、output_height、cover_url、custom_title 字段
Revision ID: 054_confirm_gen_fields
Revises: 053_generation_task_is_preview
Create Date: 2026-08-16
Changes:
1. generation_tasks 表新增 source_task_id(来源预览任务 ID,带索引)
2. generation_tasks 表新增 output_width / output_height(动态输出分辨率)
3. generation_tasks 表新增 cover_url / custom_title(自定义封面和标题)
"""
import sqlalchemy as sa
from alembic import op
revision = "054_confirm_gen_fields"
down_revision = "053_generation_task_is_preview"
branch_labels = None
depends_on = None
def upgrade() -> None:
conn = op.get_bind()
is_pg = conn.dialect.name == "postgresql"
if is_pg:
# 幂等检查:source_task_id 列是否已存在
result = conn.execute(
sa.text(
"SELECT column_name FROM information_schema.columns "
"WHERE table_name = 'generation_tasks' AND column_name = 'source_task_id'"
)
)
if result.scalar() is not None:
return
# source_task_id
op.add_column(
"generation_tasks",
sa.Column("source_task_id", sa.String(32), nullable=False, server_default=""),
)
# output_width
op.add_column(
"generation_tasks",
sa.Column("output_width", sa.Integer, nullable=False, server_default=sa.text("1280")),
)
# output_height
op.add_column(
"generation_tasks",
sa.Column("output_height", sa.Integer, nullable=False, server_default=sa.text("720")),
)
# cover_url
op.add_column(
"generation_tasks",
sa.Column("cover_url", sa.String(1000), nullable=False, server_default=""),
)
# custom_title
op.add_column(
"generation_tasks",
sa.Column("custom_title", sa.String(500), nullable=False, server_default=""),
)
# 索引
op.create_index(
"ix_generation_tasks_source_task_id",
"generation_tasks",
["source_task_id"],
)
def downgrade() -> None:
op.drop_index("ix_generation_tasks_source_task_id", table_name="generation_tasks")
op.drop_column("generation_tasks", "custom_title")
op.drop_column("generation_tasks", "cover_url")
op.drop_column("generation_tasks", "output_height")
op.drop_column("generation_tasks", "output_width")
op.drop_column("generation_tasks", "source_task_id")
-82
View File
@@ -1,82 +0,0 @@
"""封面模板表 cover_templates
Revision ID: 055_cover_templates
Revises: 054_confirm_gen_fields
Create Date: 2026-08-09
Changes:
1. 新建 cover_templates 表,支持系统预置和用户自定义封面模板
2. user_id 为 NULL 表示系统模板,is_system 标记区分
3. config 为 JSON 字段,存储封面配置信息
"""
import sqlalchemy as sa
from alembic import context, op
revision = "055_cover_templates"
down_revision = "054_confirm_gen_fields"
branch_labels = None
depends_on = None
SYSTEM_TEMPLATES = [
("a8b0120fd98e44788f5a6590f983d327", "默认模板", {}),
("6d8c501b11424432b3df3a45ae89b1a9", "大胆红", {"background_color": "#ef4444"}),
("04937fb57fea4bad95e7883e71a6b246", "优雅黑", {"background_color": "#111827"}),
("3ff9cc821174437ca53931073e7f536e", "渐变蓝", {"background_color": "#3b82f6"}),
("db51b3ea8f1a4f4caa94bf2d51f27d11", "渐变紫", {"background_color": "#8b5cf6"}),
("5027d113432a4f798a3b4ee1644d66af", "暖橙", {"background_color": "#f97316"}),
("0e10def2b5a148d686416494474726c2", "清新绿", {"background_color": "#22c55e"}),
("38ea98ac00c04bada064006d880546f0", "科技蓝", {"background_color": "#06b6d4"}),
]
def upgrade() -> None:
conn = op.get_bind()
if context.get_context().dialect.name == "postgresql":
result = conn.execute(sa.text("SELECT to_regclass('public.cover_templates')"))
if result.scalar() is not None:
return
op.create_table(
"cover_templates",
sa.Column("id", sa.String(36), primary_key=True),
sa.Column("user_id", sa.String(36), nullable=True, index=True),
sa.Column("name", sa.String(200), nullable=False),
sa.Column("thumbnail_url", sa.String(1000), nullable=False, server_default=""),
sa.Column("is_system", sa.Boolean, nullable=False, server_default=sa.false(), index=True),
sa.Column("config", sa.JSON, nullable=False, server_default="{}"),
sa.Column("created_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
)
# 预置系统模板 seed 数据
cover_templates = sa.table(
"cover_templates",
sa.column("id", sa.String),
sa.column("user_id", sa.String),
sa.column("name", sa.String),
sa.column("thumbnail_url", sa.String),
sa.column("is_system", sa.Boolean),
sa.column("config", sa.JSON),
sa.column("created_at", sa.DateTime),
sa.column("updated_at", sa.DateTime),
)
for tid, name, config in SYSTEM_TEMPLATES:
conn.execute(
cover_templates.insert().values(
id=tid,
user_id=None,
name=name,
thumbnail_url="",
is_system=True,
config=config,
created_at=sa.func.now(),
updated_at=sa.func.now(),
)
)
def downgrade() -> None:
op.drop_table("cover_templates")
@@ -1,39 +0,0 @@
"""修复 cover_templates.config 双重序列化
Revision ID: 056_fix_cover_templates_config
Revises: 055_cover_templates
Create Date: 2026-08-13
问题: 055 迁移 seed 数据时 json.dumps(config) 导致 config 被双重序列化为 JSON 字符串
例如 "{}"(字符串)而不是 {}(对象),导致 Pydantic CoverTemplateResponse 校验失败 500。
修复: 从 JSON 字符串中提取文本值,再 cast 回 json 对象类型。
"""
import sqlalchemy as sa
from alembic import op
revision = "056_fix_cover_templates_config"
down_revision = "055_cover_templates"
branch_labels = None
depends_on = None
def upgrade() -> None:
conn = op.get_bind()
# PostgreSQL: 从 JSON string scalar 中提取文本内容,cast 为 json object
# 例如: JSON string "{}" -> text "{}" -> JSON object {}
if conn.dialect.name == "postgresql":
conn.execute(
sa.text(
"UPDATE cover_templates SET config = (config#>>'{}')::json "
"WHERE jsonb_typeof(config::jsonb) = 'string'"
)
)
def downgrade() -> None:
# No safe rollback — the original data was incorrect
pass
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+1 -18
View File
@@ -1,18 +1,15 @@
from app.api.routes.ai import router as ai_router
from app.api.routes.asset_diagnosis import router as asset_diagnosis_router
from app.api.routes.asset_libraries import router as asset_libraries_router
from app.api.routes.assets import router as assets_router
from app.api.routes.auth import router as auth_router
from app.api.routes.chunked_upload import router as chunked_upload_router
from app.api.routes.classification_jobs import router as classification_jobs_router
from app.api.routes.cover_templates import router as cover_templates_router
from app.api.routes.duplication import router as duplication_router
from app.api.routes.feature_flags import router as feature_flags_router
from app.api.routes.generation_cover import router as generation_cover_router
from app.api.routes.generation_preview import router as generation_preview_router
from app.api.routes.generation_tasks import router as generation_tasks_router
from app.api.routes.health import router as health_check_router
from app.api.routes.ingest_jobs import router as ingest_jobs_router
from app.api.routes.ai import router as ai_router
from app.api.routes.internal_render import router as internal_render_router
from app.api.routes.projects import router as projects_router
from app.api.routes.share import router as share_router
@@ -47,10 +44,6 @@ api_router.include_router(
prefix="/tags",
tags=["Tag"],
)
api_router.include_router(
cover_templates_router,
tags=["CoverTemplate"],
)
api_router.include_router(
task_center_router,
tags=["TaskCenter"],
@@ -94,16 +87,6 @@ api_router.include_router(
prefix="/generation",
tags=["Generation"],
)
api_router.include_router(
generation_preview_router,
prefix="/generation",
tags=["Generation"],
)
api_router.include_router(
generation_cover_router,
prefix="/generation",
tags=["Generation"],
)
api_router.include_router(
titles_router,
prefix="/titles",
+2 -66
View File
@@ -5,9 +5,9 @@
from __future__ import annotations
from typing import List, Literal
from typing import List, Literal, Optional
from app.services.ai_service import TITLE_STYLES, generate_smart_titles, semantic_match_assets
from app.services.ai_service import TITLE_STYLES, generate_smart_titles
from fastapi import APIRouter
from pydantic import BaseModel, Field
@@ -45,42 +45,6 @@ class TitleStyleInfo(BaseModel):
description: str
# ── 素材语义匹配 ────────────────────────────────────────────────────────────
class AssetMatchItem(BaseModel):
"""待匹配素材项."""
id: str = Field(..., description="素材ID")
name: str = Field(default="", description="素材名称")
tags: List[str] = Field(default_factory=list, description="标签列表")
description: str = Field(default="", description="素材描述")
class SemanticMatchRequest(BaseModel):
"""语义匹配请求."""
description: str = Field(..., min_length=1, max_length=500, description="目标视频内容描述")
assets: List[AssetMatchItem] = Field(..., min_length=1, max_length=100, description="待匹配素材列表")
top_k: int = Field(default=0, ge=0, le=100, description="返回前K个,0返回全部")
class SemanticMatchResultItem(AssetMatchItem):
"""匹配结果项."""
match_score: float = Field(..., description="匹配度评分 0-1")
match_reason: str = Field(..., description="匹配方式:doubao_semantic / fallback_keyword / fallback_default")
class SemanticMatchResponse(BaseModel):
"""语义匹配响应."""
matches: List[SemanticMatchResultItem] = Field(..., description="按匹配度降序排列的素材列表")
source: str = Field(..., description="来源:doubao / fallback")
description: str = Field(..., description="原始描述")
total: int = Field(..., description="输入素材总数")
# ── 路由 ────────────────────────────────────────────────────────────────────
@@ -106,31 +70,3 @@ def list_title_styles():
TitleStyleInfo(key=key, name=info["name"], description=info["description"])
for key, info in TITLE_STYLES.items()
]
@router.post("/assets/match", response_model=SemanticMatchResponse)
def match_assets(request: SemanticMatchRequest):
"""智能素材语义匹配.
根据用户描述,对素材列表做语义匹配并按匹配度排序。
未配置豆包 API Key 时自动降级为关键词匹配。
- 支持最多 100 个素材同时匹配
- 返回 match_score (0-1),按降序排列
- top_k 可限制返回数量
"""
# 转为 dict 传给服务层
assets_dict = [asset.model_dump() for asset in request.assets]
result = semantic_match_assets(
description=request.description,
assets=assets_dict,
top_k=request.top_k,
)
return SemanticMatchResponse(
matches=[SemanticMatchResultItem(**m) for m in result["matches"]],
source=result["source"],
description=result["description"],
total=result["total"],
)
+46 -71
View File
@@ -1,5 +1,5 @@
import logging
from typing import Any, List, Optional
from typing import Any, Optional
from app.api.routes._helpers import check_project_access, format_utc_datetime
from app.auth import AuthenticatedUser, get_current_user
@@ -14,21 +14,22 @@ from app.schemas.asset import (
AssetResponse,
BatchClassifyRequest,
BatchDeleteRequest,
BatchGetRequest,
BatchMarkRequest,
BatchOperationResponse,
BatchTagRequest,
CreateAssetRequest,
ListAssetsResponse,
SmartMatchItem,
SmartMatchRequest,
SmartMatchResponse,
UpdateAssetRequest,
UpdateAssetReviewRequest,
)
from app.schemas.tag import TagAssetsRequest
from fastapi import APIRouter, Depends, HTTPException, Query, Response
from packages.domain.smart_match import smart_select_assets
from packages.application import (
CreateAssetCommand,
CreateAssetUseCase,
)
from packages.domain import AssetStatus, ClassificationStatus
logger = logging.getLogger(__name__)
@@ -365,18 +366,6 @@ def update_asset_review_status(
return _to_asset_response(updated)
@router.post("/batch", response_model=List[AssetResponse])
def batch_get_assets(
request: BatchGetRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
asset_repository: Any = Depends(get_asset_repository),
) -> list[AssetResponse]:
"""批量获取素材详情(根据 ID 列表)。"""
items = asset_repository.find_by_ids(request.ids)
storage_service = get_storage_service()
return [_to_asset_response(item, storage_service) for item in items]
@router.post("/batch-delete", response_model=BatchOperationResponse)
def batch_delete_assets(
request: BatchDeleteRequest,
@@ -530,51 +519,6 @@ def batch_mark_assets(
)
@router.post("/smart-match", response_model=SmartMatchResponse)
def smart_match_assets(
request: SmartMatchRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
asset_repository: Any = Depends(get_asset_repository),
asset_library_repository: Any = Depends(get_asset_library_repository),
project_repository: Any = Depends(get_project_repository),
) -> SmartMatchResponse:
"""智能选素材:根据素材库内容,按质量分+时长均衡+新鲜度+未使用偏好综合评分,返回 Top N 素材。"""
library = asset_library_repository.get(request.library_id)
if library is None:
raise HTTPException(status_code=404, detail=f"AssetLibrary {request.library_id} not found")
check_project_access(library.project_id, authenticated_user.user.id, project_repository)
# 获取素材库中所有 ready 素材(DB 层按 kind 过滤,避免加载不必要的数据到内存)
# kind → file_type 映射:schema 已校验只允许 video/image/audio,与 file_type 一致
if request.kind:
filtered_assets = asset_repository.find_by_library_and_file_type(
request.library_id, request.kind, status=["ready"], limit=10000
)
else:
filtered_assets = asset_repository.find_by_library(
request.library_id, status=["ready"], limit=10000
)
total_candidates = len(filtered_assets)
# 调用统一智能选素材算法(kind 已在 DB 层过滤,无需重复过滤)
results = smart_select_assets(
filtered_assets,
limit=request.limit,
kind=None,
)
items = [
SmartMatchItem(
asset=_to_asset_response(r.asset),
score=r.score,
breakdown=r.breakdown,
)
for r in results
]
return SmartMatchResponse(items=items, total_candidates=total_candidates)
@router.get("/{asset_id}", response_model=AssetResponse)
def get_asset(
asset_id: str,
@@ -671,12 +615,43 @@ def untag_asset(
@router.post("", response_model=AssetResponse)
def create_asset() -> None:
"""
已废弃接口。
所有素材上传统一走 uploadAssetDirect → completeDirectUpload → ingest-jobs 流程。
"""
raise HTTPException(
status_code=410,
detail="此接口已废弃。请使用 uploadAssetDirect 接口上传素材,Worker 会自动处理(视频转码、图片/音频元数据提取)并创建 Asset 记录。",
def create_asset(
request: CreateAssetRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
asset_repository: Any = Depends(get_asset_repository),
asset_library_repository: Any = Depends(get_asset_library_repository),
project_repository: Any = Depends(get_project_repository),
) -> AssetResponse:
project = project_repository.find_by_id(request.project_id)
if project is None:
raise HTTPException(status_code=404, detail=f"Project {request.project_id} not found")
if not project.can_access(authenticated_user.user.id):
raise HTTPException(status_code=403, detail="Access denied to project")
library = asset_library_repository.get(request.library_id)
if library is None or library.project_id != request.project_id:
raise HTTPException(status_code=404, detail=f"AssetLibrary {request.library_id} not found")
use_case = CreateAssetUseCase(asset_repository)
item = use_case.execute(
CreateAssetCommand(
project_id=request.project_id,
library_id=request.library_id,
name=request.name,
storage_key=request.storage_key,
mime_type=request.mime_type,
metadata=request.metadata,
file_size=request.file_size,
thumbnail_url=request.thumbnail_url,
duration=request.duration,
width=request.width,
height=request.height,
fps=request.fps,
codec=request.codec,
status=AssetStatus(request.status),
classification_status=ClassificationStatus(request.classification_status),
quality_score=request.quality_score,
uploaded_by_user_id=authenticated_user.user.id,
)
)
return _to_asset_response(item)
-153
View File
@@ -1,153 +0,0 @@
"""封面模板 CRUD 路由。
API:
GET /api/v1/cover-templates - 列出当前用户可见的模板
POST /api/v1/cover-templates - 创建自定义模板
PUT /api/v1/cover-templates/{id} - 更新模板
DELETE /api/v1/cover-templates/{id} - 删除自定义模板(系统模板不可删)
"""
import logging
from typing import Any
from app.auth import AuthenticatedUser, get_current_user
from app.dependencies import get_cover_template_repository
from app.schemas.cover_template import (
CoverTemplateResponse,
CreateCoverTemplateRequest,
ListCoverTemplatesResponse,
UpdateCoverTemplateRequest,
)
from fastapi import APIRouter, Depends, HTTPException, Response
from sqlalchemy.exc import OperationalError, ProgrammingError
from packages.domain.cover_template import CoverTemplate
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/cover-templates", tags=["CoverTemplate"])
@router.get("", response_model=ListCoverTemplatesResponse)
def list_cover_templates(
skip: int = 0,
limit: int = 100,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
repo: Any = Depends(get_cover_template_repository),
) -> ListCoverTemplatesResponse:
"""列出当前用户可见的封面模板(系统模板 + 用户自定义模板)。
当数据库表不存在时(迁移未执行),降级返回空列表而非 500。
"""
user_id = authenticated_user.user.id
try:
items = repo.list_for_user(user_id, skip=skip, limit=limit)
total = repo.count_for_user(user_id)
except (OperationalError, ProgrammingError) as exc:
logger.warning("cover_templates 表查询失败(可能未迁移),返回空列表: %s", exc)
return ListCoverTemplatesResponse(items=[], total=0)
return ListCoverTemplatesResponse(
items=[
CoverTemplateResponse(
id=t.id,
name=t.name,
thumbnail_url=t.thumbnail_url,
is_system=t.is_system,
created_at=t.created_at,
config=t.config or {},
)
for t in items
],
total=total,
)
@router.post("", response_model=CoverTemplateResponse, status_code=201)
def create_cover_template(
request: CreateCoverTemplateRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
repo: Any = Depends(get_cover_template_repository),
) -> CoverTemplateResponse:
"""创建用户自定义封面模板。"""
user_id = authenticated_user.user.id
config_dict = request.config.model_dump() if request.config else {}
template = CoverTemplate.create_user(
user_id=user_id,
name=request.name,
config=config_dict,
thumbnail_url=request.thumbnail_url,
)
try:
created = repo.create(template)
except (OperationalError, ProgrammingError) as exc:
logger.warning("cover_templates 表不可用(可能未迁移): %s", exc)
raise HTTPException(status_code=503, detail="封面模板服务暂不可用,请稍后重试") from None
return CoverTemplateResponse(
id=created.id,
name=created.name,
thumbnail_url=created.thumbnail_url,
is_system=created.is_system,
created_at=created.created_at,
config=created.config,
)
@router.put("/{template_id}", response_model=CoverTemplateResponse)
def update_cover_template(
template_id: str,
request: UpdateCoverTemplateRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
repo: Any = Depends(get_cover_template_repository),
) -> CoverTemplateResponse:
"""更新封面模板(仅允许更新自己的模板)。"""
user_id = authenticated_user.user.id
try:
template = repo.get(template_id)
except (OperationalError, ProgrammingError) as exc:
logger.warning("cover_templates 表不可用: %s", exc)
raise HTTPException(status_code=503, detail="封面模板服务暂不可用,请稍后重试") from None
if template is None:
raise HTTPException(status_code=404, detail="模板不存在")
if template.is_system:
raise HTTPException(status_code=403, detail="系统模板不可修改")
if template.user_id != user_id:
raise HTTPException(status_code=403, detail="无权修改该模板")
if request.name is not None:
template.update(name=request.name)
if request.config is not None:
template.update(config=request.config.model_dump())
if request.thumbnail_url is not None:
template.update(thumbnail_url=request.thumbnail_url)
updated = repo.update(template)
return CoverTemplateResponse(
id=updated.id,
name=updated.name,
thumbnail_url=updated.thumbnail_url,
is_system=updated.is_system,
created_at=updated.created_at,
config=updated.config,
)
@router.delete("/{template_id}", status_code=204, response_class=Response)
def delete_cover_template(
template_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
repo: Any = Depends(get_cover_template_repository),
) -> None:
"""删除用户自定义封面模板(系统模板不可删除)。"""
user_id = authenticated_user.user.id
try:
template = repo.get(template_id)
except (OperationalError, ProgrammingError) as exc:
logger.warning("cover_templates 表不可用: %s", exc)
raise HTTPException(status_code=503, detail="封面模板服务暂不可用,请稍后重试") from None
if template is None:
raise HTTPException(status_code=404, detail="模板不存在")
if template.is_system:
raise HTTPException(status_code=403, detail="系统模板不可删除")
if template.user_id != user_id:
raise HTTPException(status_code=403, detail="无权删除该模板")
repo.delete(template_id)
-364
View File
@@ -1,364 +0,0 @@
"""封面生成路由 — Generation 模块.
端点:
- POST /generate-cover AI 生成封面(从预览视频中抽帧)
挂载路径: /api/v1/generation/generate-cover
"""
from __future__ import annotations
import logging
from typing import Any, List, Optional
from app.auth import AuthenticatedUser, get_current_user
from app.dependencies import get_db_session, get_generated_video_repository
from app.services.edit_plan_service import EditPlanService
from app.services.edit_template_service import EditTemplateService
from fastapi import APIRouter, Depends, HTTPException, Query
from pydantic import BaseModel, Field
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.generation_task_repository import (
SQLAlchemyGenerationTaskRepository,
)
from packages.application import ListGeneratedVideosByTaskUseCase
from packages.domain.config_schemas import normalize_plan_config
from .templates_editor.dependencies import get_draft_plan_id, get_editor_services
logger = logging.getLogger(__name__)
router = APIRouter(tags=["Generation"])
# ── Schemas ──────────────────────────────────────────────────────────────
class GenerateCoverRequest(BaseModel):
"""AI 封面生成请求体"""
asset_ids: List[str] = Field(default_factory=list, description="素材 ID 列表(确定视频来源)")
cover_type: str = Field(
default="ai_frame",
description="封面类型: ai_frame / manual / upload / ai_regenerate",
)
frame_time: Optional[float] = Field(
default=None,
ge=0.0,
description="手动选帧时间点(秒),仅 cover_type=manual 时有效",
)
cover_url: Optional[str] = Field(
default=None,
description="上传的封面图片 URL,仅 cover_type=upload 时有效",
)
class GenerateCoverResponse(BaseModel):
"""AI 封面生成响应体"""
plan_id: str = Field(..., description="剪辑计划 ID")
cover: dict[str, Any] = Field(..., description="封面数据(type / image_url / frame_time 等)")
# ── Route ────────────────────────────────────────────────────────────────
@router.post("/generate-cover", response_model=GenerateCoverResponse)
def generate_cover(
body: GenerateCoverRequest,
template_id: str = Query(..., description="模板 ID"),
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
db: Session = Depends(get_db_session),
current_user: AuthenticatedUser = Depends(get_current_user),
) -> GenerateCoverResponse:
"""AI 生成封面 — 从预览视频中抽帧.
流程(串行):
1. 预览视频已渲染完成(通过 3 步查找获取 URL)
2. 用裸 URL 让 MediaKit 下载视频并抽帧
3. 帧图下载后上传到 OSS covers/ 路径
"""
_, plan_svc = services
plan = plan_svc.get_plan_or_raise(plan_id)
# ── upload 类型:直接保存前端上传的封面图片,不需要预览视频 ──────
if body.cover_type == "upload":
if not body.cover_url:
raise HTTPException(
status_code=400,
detail="cover_type=upload 时必须提供 cover_url",
)
cover_data = {
"type": "upload",
"image_url": body.cover_url,
}
current_config = dict(plan.config) if plan.config else {}
current_config["cover"] = cover_data
normalized = normalize_plan_config(current_config)
plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
logger.info(
"封面上传完成: plan_id=%s cover_url=%s by user=%s",
plan_id,
body.cover_url[:80] if body.cover_url else "",
current_user.user.id,
)
return GenerateCoverResponse(plan_id=plan_id, cover=cover_data)
# ── 3 步查找预览视频 URL ──────────────────────────────────────────
# 第一步:从 plan.config 读取
logger.info("[封面生成] 步骤1: 从 plan.config 查找 rendered_storage_key: plan_id=%s", plan_id)
rendered_storage_key = (plan.config or {}).get("rendered_storage_key", "")
# 第二步:如果还没有,通过 generation_task_id 查找预览任务的产物
if not rendered_storage_key:
generation_task_id = (plan.config or {}).get("generation_task_id", "")
logger.info(
"[封面生成] 步骤2: 通过 generation_task_id 查找: plan_id=%s task_id=%s", plan_id, generation_task_id
)
if generation_task_id:
try:
gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
task = gen_task_repo.get(generation_task_id)
if task:
video_repo = get_generated_video_repository(db)
use_case = ListGeneratedVideosByTaskUseCase(video_repo)
videos = use_case.execute(task.id)
if videos:
rendered_storage_key = getattr(videos[0], "file_url", "") or ""
logger.info(
"[封面生成] ✅ 步骤2找到视频: plan_id=%s task_id=%s url=%s",
plan_id,
generation_task_id,
rendered_storage_key[:80],
)
except Exception:
logger.warning(
"封面生成: 通过 generation_task_id 查找视频失败: plan_id=%s",
plan_id,
exc_info=True,
)
# 第 2.5 步:通过 plan_id 作为 source_edit_plan_id 查找关联的已完成预览任务
if not rendered_storage_key:
try:
gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
logger.info("[封面生成] 步骤2.5: 通过 source_edit_plan_id 查找: plan_id=%s", plan_id)
preview_tasks = gen_task_repo.list_by_source_edit_plan(plan_id)
for pt in preview_tasks:
if getattr(pt, "status", "") == "completed" and getattr(pt, "is_preview", False):
video_repo = get_generated_video_repository(db)
use_case = ListGeneratedVideosByTaskUseCase(video_repo)
videos = use_case.execute(pt.id)
if videos:
rendered_storage_key = getattr(videos[0], "file_url", "") or ""
logger.info(
"[封面生成] ✅ 步骤2.5找到视频: plan_id=%s task_id=%s url=%s",
plan_id,
pt.id,
rendered_storage_key[:80],
)
break
except Exception:
logger.warning(
"封面生成: 通过 source_edit_plan_id 查找预览任务失败: plan_id=%s",
plan_id,
exc_info=True,
)
# 第三步:按 user + template 查找最近的已完成预览任务(兜底)
if not rendered_storage_key:
try:
gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
logger.info("[封面生成] 步骤3: 通过 user+template 查找: plan_id=%s template_id=%s", plan_id, template_id)
preview_tasks = gen_task_repo.list_latest_completed_preview(
user_id=str(current_user.user.id),
template_id=template_id,
)
if preview_tasks:
completed_preview = preview_tasks[0]
video_repo = get_generated_video_repository(db)
use_case = ListGeneratedVideosByTaskUseCase(video_repo)
videos = use_case.execute(completed_preview.id)
if videos:
rendered_storage_key = getattr(videos[0], "file_url", "") or ""
logger.info(
"封面视频: 通过 user+template 找到预览任务: plan_id=%s template_id=%s task_id=%s",
plan_id,
template_id,
completed_preview.id,
)
except Exception:
logger.warning(
"封面警告: user+template 查找预览任务失败: plan_id=%s template_id=%s",
plan_id,
template_id,
exc_info=True,
)
# 仍然找不到才报 400
if not rendered_storage_key:
logger.error("[封面生成] ❌ 找不到预览视频: plan_id=%s", plan_id)
raise HTTPException(
status_code=400,
detail="请先生成预览视频,再生成封面",
)
# 回写到 plan.config
plan_svc.update_plan_config(plan_id, {"rendered_storage_key": rendered_storage_key})
# 使用裸 URLrendered/* 已配置公开读)
primary_video_url = None
try:
if rendered_storage_key.startswith("http"):
primary_video_url = rendered_storage_key
else:
from packages.shared.storage import get_shared_storage_service
storage_svc = get_shared_storage_service()
primary_video_url = storage_svc.get_url(rendered_storage_key)
# 防御性规范化:合并路径中的双斜杠(// -> /),但保留协议头的 ://
# 历史数据中 project_id 为空时会产生 projects//tasks/ 路径,
# MediaKit 的 HTTP 客户端会规范化 URL 导致 404
if primary_video_url:
import re as _re
primary_video_url = _re.sub(r"(?<!:)//", "/", primary_video_url)
logger.info(
"获取预览视频URL用于封面生成: plan_id=%s url=%s",
plan_id,
primary_video_url[:80] if primary_video_url else "",
)
except Exception as e:
raise HTTPException(
status_code=500,
detail=f"获取预览视频URL失败: {e}",
) from e
# 统一封面管道:优先从 GenerationTask.cover_url 读取渲染后视频抽帧的封面
# 多步查找 cover_url,和查找视频 URL 一样的 fallback 逻辑
if body.cover_type in ("ai_frame", "ai_regenerate"):
cover_url_from_task = None
gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
# 步骤 A:通过 generation_task_id 直接查找
generation_task_id = (plan.config or {}).get("generation_task_id", "")
if generation_task_id:
try:
task = gen_task_repo.get(generation_task_id)
if task and getattr(task, "cover_url", ""):
cover_url_from_task = task.cover_url
logger.info(
"[封面生成] 统一管道封面(步骤A-direct): plan_id=%s task_id=%s url=%s",
plan_id,
generation_task_id,
cover_url_from_task[:80],
)
except Exception:
logger.warning(
"[封面生成] 步骤A读取 cover_url 失败: plan_id=%s task_id=%s",
plan_id,
generation_task_id,
exc_info=True,
)
# 步骤 B:通过 source_edit_plan_id 查找关联预览任务的 cover_url
if not cover_url_from_task:
try:
preview_tasks = gen_task_repo.list_by_source_edit_plan(plan_id)
for pt in preview_tasks:
if getattr(pt, "status", "") == "completed" and getattr(pt, "cover_url", ""):
cover_url_from_task = pt.cover_url
logger.info(
"[封面生成] 统一管道封面(步骤B-source_plan): plan_id=%s task_id=%s url=%s",
plan_id,
pt.id,
cover_url_from_task[:80],
)
break
except Exception:
logger.warning(
"[封面生成] 步骤B查找 cover_url 失败: plan_id=%s",
plan_id,
exc_info=True,
)
# 步骤 C:通过 user+template 查找最近的已完成预览任务的 cover_url
if not cover_url_from_task:
try:
preview_tasks = gen_task_repo.list_latest_completed_preview(
user_id=str(current_user.user.id),
template_id=template_id,
)
for pt in preview_tasks:
if getattr(pt, "cover_url", ""):
cover_url_from_task = pt.cover_url
logger.info(
"[封面生成] 统一管道封面(步骤C-user+template): plan_id=%s task_id=%s url=%s",
plan_id,
pt.id,
cover_url_from_task[:80],
)
break
except Exception:
logger.warning(
"[封面生成] 步骤C查找 cover_url 失败: plan_id=%s template_id=%s",
plan_id,
template_id,
exc_info=True,
)
if cover_url_from_task:
# 标题已在预览视频渲染时烧录(ASS字幕),封面帧自然包含标题
cover_data = {
"type": "ai_frame",
"image_url": cover_url_from_task,
"frame_time": 0.0,
"confidence": 0.95,
}
current_config = dict(plan.config) if plan.config else {}
current_config["cover"] = cover_data
normalized = normalize_plan_config(current_config)
plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
return GenerateCoverResponse(plan_id=plan_id, cover=cover_data)
logger.warning(
"[封面生成] 统一管道未找到 cover_url: plan_id=%s",
plan_id,
)
# ai_frame/ai_regenerate 类型必须从渲染管道获取,不再回退到 AI 服务
raise HTTPException(
status_code=400,
detail="封面尚未生成,请先重新生成预览视频以触发封面自动提取",
)
from packages.shared.ai_service import run_generate_cover
try:
logger.info("[封面生成] 开始调用 AI 封面生成服务: plan_id=%s", plan_id)
cover_data = run_generate_cover(
plan_id=plan_id,
asset_ids=body.asset_ids,
cover_type=body.cover_type,
frame_time=body.frame_time,
primary_video_url=primary_video_url,
)
except RuntimeError as e:
raise HTTPException(status_code=500, detail=str(e)) from e
current_config = dict(plan.config) if plan.config else {}
current_config["cover"] = cover_data
normalized = normalize_plan_config(current_config)
plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
logger.info(
"封面生成完成: template_id=%s plan_id=%s type=%s by user=%s",
template_id,
plan_id,
body.cover_type,
current_user.user.id,
)
return GenerateCoverResponse(plan_id=plan_id, cover=cover_data)
@@ -1,408 +0,0 @@
"""预览生成路由 — Phase 1:单版本预览接口(创建 + 查询)。
路径前缀:/api/v1/generation/preview(与 /generation/tasks 同体系)
"""
from __future__ import annotations
import json
import logging
from app.auth import AuthenticatedUser, get_current_user
from app.core.storage import get_storage_service
from app.core.task_enqueue import (
GLOBAL_PENDING_LIMIT,
USER_PENDING_LIMIT,
GlobalQueueFull,
UserPendingLimitExceeded,
safe_enqueue_generation_task,
)
from app.dependencies import (
get_asset_repository,
get_db_session,
get_generated_video_repository,
get_generation_task_repository,
)
from app.schemas.generation_task import (
CreatePreviewGenerationTaskRequest,
PreviewGenerationTaskResponse,
)
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.edit_template_repository import (
SQLAlchemyEditTemplateRepository,
)
from packages.adapters.sqlalchemy_impl.template_repository import (
SQLAlchemyTemplateRepository,
)
from packages.application import (
CreateGenerationTaskCommand,
CreateGenerationTaskUseCase,
GetGenerationTaskUseCase,
ListGeneratedVideosByTaskUseCase,
)
logger = logging.getLogger(__name__)
router = APIRouter()
# 模板 mode → 视频比例映射
_TEMPLATE_MODE_TO_RATIO = {
"pip": "9:16",
"standard": "16:9",
"square": "1:1",
}
def _infer_video_ratio_from_template(template_id: str, db: Session, user_id: str = "") -> str:
"""从模板 mode 推断视频比例,前端未传 video_ratio 时使用。
Returns:
视频比例字符串(如 "9:16"),查询失败返回空字符串。
"""
if not template_id:
return ""
try:
repo = SQLAlchemyTemplateRepository(db)
template = repo.get(template_id, user_id)
if template:
mode = getattr(template, "mode", "") or ""
ratio = _TEMPLATE_MODE_TO_RATIO.get(mode.strip(), "")
if ratio:
logger.info(
"[预览生成] 从模板 mode=%s 推断 video_ratio=%s",
mode,
ratio,
)
return ratio
except Exception:
logger.warning(
"[预览生成] 查询模板失败,跳过 video_ratio 推断: template_id=%s",
template_id,
exc_info=True,
)
return ""
def _resolve_strategy_id_from_template(template_id: str, db: Session, user_id: str = "") -> str:
"""从模板读取 editing_mode / mode 作为 strategy_id。
优先查新模板系统(EditTemplate.editing_mode),fallback 旧模板(Template.mode)。
Worker 端使用 strategy_id 作为渲染 mode,为空则默认 one_take。
"""
if not template_id:
return ""
# 优先查新模板系统
try:
new_repo = SQLAlchemyEditTemplateRepository(db)
new_template = new_repo.get(template_id)
if new_template and getattr(new_template, "editing_mode", ""):
mode = new_template.editing_mode.strip()
if mode:
logger.info(
"[预览生成] 从新模板 editing_mode=%s (template_id=%s)",
mode,
template_id,
)
# 画中画已下线,pip/voice_pip 统一映射为 one_take
if mode in ("pip", "voice_pip"):
logger.info("[预览生成] %s → one_take (画中画已下线)", mode)
mode = "one_take"
return mode
except Exception:
logger.debug(
"[预览生成] 新模板查询失败,尝试旧模板: template_id=%s",
template_id,
exc_info=True,
)
# fallback 旧模板系统
try:
old_repo = SQLAlchemyTemplateRepository(db)
old_template = old_repo.get(template_id, user_id)
if old_template:
mode = getattr(old_template, "mode", "") or ""
mode = mode.strip()
if mode:
logger.info(
"[预览生成] 从旧模板 mode=%s (template_id=%s)",
mode,
template_id,
)
# 画中画已下线,pip/voice_pip 统一映射为 one_take
if mode in ("pip", "voice_pip"):
logger.info("[预览生成] %s → one_take (画中画已下线)", mode)
mode = "one_take"
return mode
except Exception:
logger.warning(
"[预览生成] 旧模板查询也失败,strategy_id 留空: template_id=%s",
template_id,
exc_info=True,
)
return ""
def _mark_task_failed(repo, task, reason: str) -> None:
"""入队失败时将任务标记为 failed,避免产生僵尸 pending 数据。"""
try:
task.mark_failed(error_message=f"入队失败:{reason}")
repo.update(task)
except Exception:
logger.exception("[预览生成] 标记任务失败时异常: task_id=%s", task.id)
def _to_preview_response(task, generated_videos: list | None = None) -> PreviewGenerationTaskResponse:
"""将领域任务对象转换为预览响应 DTO。
Args:
task: GenerationTask 领域对象
generated_videos: 生成的视频列表(可选),取第一个作为 video_url
Returns:
PreviewGenerationTaskResponse
"""
video_url = ""
duration = 0.0
file_size = 0
if generated_videos:
first_video = generated_videos[0]
raw_url = getattr(first_video, "file_url", "") or ""
# rendered/* 已配置公开读,直接用裸 URL
if raw_url.startswith("http"):
video_url = raw_url
else:
storage = get_storage_service()
video_url = storage.get_url(raw_url)
duration = float(getattr(first_video, "duration", 0.0) or 0.0)
file_size = int(getattr(first_video, "file_size", 0) or 0)
# 从 extra_meta / metadata 中提取统计信息(如果有)
extra_meta = getattr(task, "extra_meta", {}) or {}
clip_count = int(extra_meta.get("clip_count", len(getattr(task, "asset_ids", [])) or 0))
transition_count = int(extra_meta.get("transition_count", max(0, clip_count - 1)))
material_usage = extra_meta.get("material_usage", {}) or {}
# 计算生成耗时
generate_duration = 0.0
started_at = getattr(task, "started_at", None)
completed_at = getattr(task, "completed_at", None)
if started_at and completed_at:
generate_duration = (completed_at - started_at).total_seconds()
return PreviewGenerationTaskResponse(
task_id=task.id,
status=task.status.value if hasattr(task.status, "value") else str(task.status),
progress=float(task.progress or 0.0),
is_preview=bool(getattr(task, "is_preview", True)),
resolution=getattr(task, "resolution", "") or "",
video_url=video_url,
duration=duration,
file_size=file_size,
clip_count=clip_count,
transition_count=transition_count,
material_usage=material_usage,
error_message=task.error_message or "",
created_at=task.created_at,
started_at=started_at,
finished_at=completed_at,
generate_duration=generate_duration,
)
@router.post("/preview", response_model=PreviewGenerationTaskResponse, status_code=201)
def create_preview_generation_task(
request: CreatePreviewGenerationTaskRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
generation_task_repository=Depends(get_generation_task_repository),
db: Session = Depends(get_db_session),
asset_repo=Depends(get_asset_repository),
) -> PreviewGenerationTaskResponse:
"""创建预览生成任务。
预览渲染品质与正式生成一致(1080p, CRF 23, medium preset),确认生成时可直接复用预览产物。
Args:
request: 预览任务创建请求(template_id + asset_ids 等)
Returns:
201 + 预览任务详情
"""
user_id = authenticated_user.user.id
logger.info(
"[预览生成] 接收请求: user_id=%s, template_id=%s, asset_count=%d, preview_count=%d",
user_id,
request.template_id,
len(request.asset_ids),
request.preview_count,
)
# 预检查队列限流
try:
user_pending = generation_task_repository.count_pending_by_user(user_id)
global_pending = generation_task_repository.count_pending_total()
if user_pending + 1 > USER_PENDING_LIMIT:
raise UserPendingLimitExceeded(user_id=user_id, pending_count=user_pending + 1, limit=USER_PENDING_LIMIT)
if global_pending + 1 > GLOBAL_PENDING_LIMIT:
raise GlobalQueueFull(pending_count=global_pending + 1, limit=GLOBAL_PENDING_LIMIT)
except UserPendingLimitExceeded as e:
raise HTTPException(
status_code=429,
detail=f"您的待处理任务过多(当前 {e.pending_count - 1}/{e.limit}),请等待后再提交",
) from e
except GlobalQueueFull as e:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
) from e
# 确定视频比例:优先前端传入,否则从模板 mode 推断
video_ratio = request.video_ratio or ""
if not video_ratio and request.template_id:
video_ratio = _infer_video_ratio_from_template(request.template_id, db, user_id)
# 从模板读取 editing_mode / mode 作为 strategy_id(渲染 pipeline 的 mode 参数)
strategy_id = _resolve_strategy_id_from_template(request.template_id, db, user_id)
# 处理标题配置:如果有标题文本,序列化到 custom_title 字段传递给 worker
title_config = request.title_config or {}
title_text = (title_config.get("text") or "").strip()
custom_title_value = ""
if title_text:
# 将标题文本和样式配置序列化为 JSON 存入 custom_title
# Worker 端会解析 JSON 获取完整标题配置
custom_title_value = json.dumps(title_config, ensure_ascii=False)
logger.info(
"[预览生成] 标题配置: text=%s, config_keys=%s",
title_text[:30],
list(title_config.keys()),
)
use_case = CreateGenerationTaskUseCase(generation_task_repository)
try:
task = use_case.execute(
CreateGenerationTaskCommand(
project_id="",
asset_library_id="",
strategy_id=strategy_id,
voice_library_id=request.voice_library_id,
template_id=request.template_id,
asset_ids=list(request.asset_ids),
title_ids=list(request.title_ids),
voice_ids=list(request.voice_ids),
created_by_user_id=user_id,
source_edit_plan_id=request.source_edit_plan_id,
asset_select_mode="",
batch_id="",
video_title=request.video_title,
resolution="",
bgm_config=request.bgm_config or {},
auto_retry_enabled=False,
auto_retry_max=0,
is_preview=True,
custom_title=custom_title_value,
)
)
except ValueError as e:
logger.warning("[预览生成] 创建失败: %s", e)
raise HTTPException(status_code=400, detail=str(e)) from e
except Exception as e:
logger.error("[预览生成] 创建失败: %s", e, exc_info=True)
raise HTTPException(status_code=500, detail="创建预览生成任务失败,请稍后再试") from e
# 关联编辑计划:如果前端未传 source_edit_plan_id,通过 template_id + user_id 查找
if not task.source_edit_plan_id and request.template_id:
try:
from packages.adapters.sqlalchemy_impl.edit_plan_repository import (
SQLAlchemyEditPlanRepository,
)
_plan_repo = SQLAlchemyEditPlanRepository(db)
_plans = _plan_repo.list_by_template(request.template_id, limit=20)
for _p in _plans:
if (_p.created_by_user_id or "") == user_id:
task.source_edit_plan_id = _p.id
generation_task_repository.update(task)
logger.info(
"[预览生成] 自动关联编辑计划: task_id=%s plan_id=%s",
task.id,
_p.id,
)
break
except Exception:
logger.warning(
"[预览生成] 查找关联编辑计划失败(不影响主流程): task_id=%s",
task.id,
exc_info=True,
)
# 入队执行;若入队失败则标记任务为 failed 避免僵尸数据
try:
if not safe_enqueue_generation_task(
task,
generation_task_repository,
user_id=user_id,
log_prefix="[预览生成]",
log_task_status=True,
):
logger.warning("[预览生成] 任务入队失败: task_id=%s", task.id)
_mark_task_failed(generation_task_repository, task, "任务入队失败")
raise HTTPException(status_code=500, detail="任务入队失败,请稍后重试")
except UserPendingLimitExceeded as e:
_mark_task_failed(generation_task_repository, task, "待处理任务超限")
raise HTTPException(
status_code=429,
detail=f"您的待处理任务过多(当前 {e.pending_count - 1}/{e.limit}),请等待后再提交",
) from None
except GlobalQueueFull:
_mark_task_failed(generation_task_repository, task, "系统队列已满")
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
) from None
return _to_preview_response(task)
@router.get("/preview/{task_id}", response_model=PreviewGenerationTaskResponse)
def get_preview_generation_task(
task_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
generation_task_repository=Depends(get_generation_task_repository),
generated_video_repository=Depends(get_generated_video_repository),
) -> PreviewGenerationTaskResponse:
"""查询预览生成任务状态。
Args:
task_id: 任务 ID
Returns:
预览任务详情(含状态、进度、结果 URL 等)
"""
use_case = GetGenerationTaskUseCase(generation_task_repository)
task = use_case.execute(task_id)
if task is None:
raise HTTPException(status_code=404, detail=f"预览任务 {task_id} 不存在")
# 权限校验:任务必须属于当前用户(统一转 str 比较,避免 UUID/str 类型差异)
task_user_id = str(getattr(task, "created_by_user_id", "") or "")
if not task_user_id or task_user_id != str(authenticated_user.user.id):
raise HTTPException(status_code=403, detail="无权访问该任务")
# 校验是否为预览任务
if not getattr(task, "is_preview", False):
raise HTTPException(status_code=404, detail=f"预览任务 {task_id} 不存在")
# 查询生成的视频(取第一个)
generated_videos = []
status_val = task.status.value if hasattr(task.status, "value") else str(task.status)
if status_val == "completed":
list_use_case = ListGeneratedVideosByTaskUseCase(generated_video_repository)
generated_videos = list_use_case.execute(task_id)
return _to_preview_response(task, generated_videos=generated_videos)
+6 -148
View File
@@ -26,11 +26,11 @@ from app.schemas.generated_video import (
)
from app.schemas.generation_task import (
BatchGenerationTaskResponse,
ConfirmGenerationRequest,
CreateGenerationTaskRequest,
GenerationTaskResponse,
ListGenerationTasksResponse,
)
from app.services.smart_asset_selector import SmartAssetSelector
from fastapi import APIRouter, Depends, HTTPException
from packages.application import (
@@ -39,7 +39,6 @@ from packages.application import (
GetGenerationTaskUseCase,
ListGeneratedVideosByTaskUseCase,
)
from packages.domain.smart_match import smart_select_assets
logger = logging.getLogger(__name__)
@@ -62,13 +61,6 @@ def _to_generation_task_response(task) -> GenerationTaskResponse:
batch_id=getattr(task, "batch_id", ""),
video_title=getattr(task, "video_title", ""),
resolution=getattr(task, "resolution", ""),
bgm_config=getattr(task, "bgm_config", {}) or {},
is_preview=getattr(task, "is_preview", False),
source_task_id=getattr(task, "source_task_id", ""),
output_width=getattr(task, "output_width", 1280),
output_height=getattr(task, "output_height", 720),
cover_url=getattr(task, "cover_url", ""),
custom_title=getattr(task, "custom_title", ""),
logs=getattr(task, "logs", "[]"),
status=task.status,
progress=task.progress,
@@ -132,11 +124,10 @@ def _select_assets_from_library(
return [a.id for a in selected]
if mode == "smart":
# 智能匹配:统一使用 packages/domain/smart_match.py 的多维评分+多样性选取
# 评分维度:质量分(40%) + 时长适配(30%) + 新鲜度(20%) + 未使用加分(10%)
limit = count if count > 0 else None
results = smart_select_assets(ready_video_assets, limit=limit, kind="video")
return [r.asset.id for r in results]
# 智能匹配:多维度综合评分 + 时长多样性保证
selector = SmartAssetSelector()
result = selector.select(ready_video_assets, count=count, ensure_diversity=True)
return result.selected_ids
# 默认 all 模式:返回全部 ready 视频素材
return [a.id for a in ready_video_assets]
@@ -271,19 +262,13 @@ def create_generation_task(
detail="系统繁忙,请稍后再试",
) from e
# 画中画已下线:strategy_id 中的 pip/voice_pip 统一映射为 one_take
effective_strategy_id = request.strategy_id
if effective_strategy_id in ("pip", "voice_pip"):
logger.info("画中画已下线,strategy_id %s → one_take", effective_strategy_id)
effective_strategy_id = "one_take"
try:
for _ in range(count):
task = use_case.execute(
CreateGenerationTaskCommand(
project_id=project_id,
asset_library_id=asset_library_id,
strategy_id=effective_strategy_id,
strategy_id=request.strategy_id,
voice_library_id=request.voice_library_id,
template_id=request.template_id,
asset_ids=resolved_asset_ids,
@@ -295,15 +280,8 @@ def create_generation_task(
batch_id=batch_id,
video_title=request.video_title,
resolution=request.resolution,
bgm_config=request.bgm_config,
auto_retry_enabled=request.auto_retry_enabled,
auto_retry_max=request.auto_retry_max,
is_preview=request.is_preview,
source_task_id=request.source_task_id,
output_width=request.output_width,
output_height=request.output_height,
cover_url=request.cover_url,
custom_title=request.custom_title,
)
)
try:
@@ -344,120 +322,6 @@ def create_generation_task(
return BatchGenerationTaskResponse(items=items, total=len(items))
@router.post("/tasks/{task_id}/confirm", response_model=BatchGenerationTaskResponse)
def confirm_generation(
task_id: str,
request: ConfirmGenerationRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
generation_task_repository: Any = Depends(get_generation_task_repository),
project_repository: Any = Depends(get_project_repository),
) -> BatchGenerationTaskResponse:
"""确认生成 -- 复用预览渲染产物(预览与正式品质一致)。
预览已使用 1080p / CRF 23 / medium 渲染,品质与正式生成一致。
确认时直接将预览任务标记为正式产出,无需重新渲染,实现秒出。
仅当预览任务未完成时,才创建新的正式任务走渲染流程。
"""
# 1. 查找源预览任务
source_task = generation_task_repository.get(task_id)
if source_task is None:
raise HTTPException(status_code=404, detail=f"Preview task {task_id} not found")
# 2. 权限检查
if source_task.created_by_user_id and source_task.created_by_user_id != authenticated_user.user.id:
raise HTTPException(status_code=403, detail="Access denied to this task")
if source_task.project_id:
check_project_access(source_task.project_id, authenticated_user.user.id, project_repository)
# 3. 如果预览任务已完成,检查分辨率一致性后复用产物(秒出)
if source_task.is_completed and getattr(source_task, "is_preview", False):
# 校验请求的分辨率是否与预览实际渲染的分辨率一致
req_w = request.output_width or 0
req_h = request.output_height or 0
src_w = getattr(source_task, "output_width", 0) or 0
src_h = getattr(source_task, "output_height", 0) or 0
resolution_match = (req_w == 0 or req_w == src_w) and (req_h == 0 or req_h == src_h)
if resolution_match:
source_task.mark_confirmed(
cover_url=request.cover_url,
custom_title=request.custom_title,
output_width=request.output_width,
output_height=request.output_height,
)
generation_task_repository.update(source_task)
logger.info(
"[确认生成] 复用预览产物: task_id=%s, user_id=%s",
task_id,
authenticated_user.user.id,
)
return BatchGenerationTaskResponse(
items=[_to_generation_task_response(source_task)],
total=1,
)
# 分辨率不一致,跳过复用,走新建任务流程
logger.info(
"[确认生成] 分辨率不一致,跳过复用: task_id=%s, src=%sx%s, req=%sx%s",
task_id,
src_w,
src_h,
req_w,
req_h,
)
# 4. 预览任务未完成,创建新的正式任务走渲染流程
use_case = CreateGenerationTaskUseCase(generation_task_repository)
new_task = use_case.execute(
CreateGenerationTaskCommand(
project_id=source_task.project_id,
asset_library_id=source_task.asset_library_id,
strategy_id=source_task.strategy_id,
voice_library_id=source_task.voice_library_id,
template_id=source_task.template_id,
asset_ids=source_task.asset_ids,
title_ids=source_task.title_ids,
voice_ids=source_task.voice_ids,
created_by_user_id=authenticated_user.user.id,
source_edit_plan_id=source_task.source_edit_plan_id or "",
asset_select_mode=source_task.asset_select_mode,
video_title=getattr(source_task, "video_title", ""),
resolution=getattr(source_task, "resolution", ""),
is_preview=False,
source_task_id=task_id,
output_width=request.output_width,
output_height=request.output_height,
cover_url=request.cover_url,
custom_title=request.custom_title,
)
)
# 5. 调度 worker
try:
if not safe_enqueue_generation_task(
new_task,
generation_task_repository,
user_id=authenticated_user.user.id,
log_prefix="[确认生成]",
log_task_status=True,
):
logger.warning("[确认生成] 入队失败: task_id=%s", new_task.id)
except UserPendingLimitExceeded:
raise HTTPException(
status_code=429,
detail="您的待处理任务过多,请等待完成后再提交",
) from None
except GlobalQueueFull:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
) from None
return BatchGenerationTaskResponse(
items=[_to_generation_task_response(new_task)],
total=1,
)
@router.get("/tasks", response_model=ListGenerationTasksResponse)
def list_generation_tasks(
authenticated_user: AuthenticatedUser = Depends(get_current_user),
@@ -555,12 +419,6 @@ def retry_generation_task(
asset_select_mode=getattr(task, "asset_select_mode", ""),
video_title=getattr(task, "video_title", ""),
resolution=getattr(task, "resolution", ""),
is_preview=getattr(task, "is_preview", False),
source_task_id=getattr(task, "source_task_id", ""),
output_width=getattr(task, "output_width", 1280),
output_height=getattr(task, "output_height", 720),
cover_url=getattr(task, "cover_url", ""),
custom_title=getattr(task, "custom_title", ""),
)
)
try:
+6 -6
View File
@@ -1,6 +1,6 @@
from datetime import datetime, timezone
from datetime import datetime
import psycopg
import psycopg2
import redis
from app.config import settings
from fastapi import APIRouter, status
@@ -13,7 +13,7 @@ router = APIRouter(tags=["Health"])
async def health_check():
return {
"status": "healthy",
"timestamp": datetime.now(timezone.utc).isoformat(),
"timestamp": datetime.utcnow().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(timezone.utc).isoformat(),
"timestamp": datetime.utcnow().isoformat(),
"checks": checks,
}
if not all_ready:
@@ -49,7 +49,7 @@ async def _check_database() -> dict:
"message": "Using in-memory database",
}
try:
conn = psycopg.connect(settings.DATABASE_URL, connect_timeout=3)
conn = psycopg2.connect(settings.DATABASE_URL, connect_timeout=3)
with conn.cursor() as cur:
cur.execute("SELECT 1")
cur.fetchone()
@@ -124,7 +124,7 @@ async def _check_migrations() -> dict:
"message": "Using in-memory database, no migrations needed",
}
try:
conn = psycopg.connect(settings.DATABASE_URL, connect_timeout=3)
conn = psycopg2.connect(settings.DATABASE_URL, connect_timeout=3)
with conn.cursor() as cur:
cur.execute("""
SELECT COUNT(*) FROM information_schema.tables
File diff suppressed because it is too large Load Diff
@@ -1,62 +0,0 @@
"""模板编辑器 API 路由包.
将原来 2560 行的 templates_editor.py 巨无霸拆分为 12 个模块:
- schemas.py: 所有 Pydantic model
- dependencies.py: 依赖注入
- _utils.py: 工具函数
- _fallback.py: 自动兜底逻辑
- draft.py: 草稿管理(详情/更新/发布/版本/回滚)
- clips.py: 片段管理(CRUD/分割/合并/重排/批量删除/从素材创建)
- adjustments.py: 片段调整(速度/音量/裁剪/批量调速)
- bgm.py: BGM 管理
- effects.py: 转场 + 滤镜
- export.py: 导出配置
- subtitles.py: 字幕管理
- ai_features.py: AI 推荐
- generation.py: 生成(触发/进度/记录)
- timeline.py: 时间线
挂载路径: /api/v1/templates/{template_id}/editor/
"""
from __future__ import annotations
# 向后兼容:测试和其他模块可能直接从 templates_editor 导入这些符号
from app.auth import get_current_user # noqa: F401
from app.dependencies import get_db_session # noqa: F401
from fastapi import APIRouter
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 # noqa: F401
from .draft import router as draft_router
from .effects import router as effects_router
from .export import router as export_router
from .generation import router as generation_router
from .subtitles import router as subtitles_router
from .timeline import router as timeline_router
# 主 router,所有子路由都合并到这里
router = APIRouter(tags=["Template Editor"])
# 合并所有子模块的路由(不用 include_router 是因为子路由有空路径 "")
_sub_routers = [
draft_router,
clips_router,
adjustments_router,
bgm_router,
effects_router,
export_router,
subtitles_router,
ai_features_router,
generation_router,
timeline_router,
]
for sub in _sub_routers:
for route in sub.routes:
router.routes.append(route)
__all__ = ["router"]
@@ -1,227 +0,0 @@
"""模板编辑器自动兜底逻辑.
generate_editor_draft 触发生成前的自动修复流程:
1. draft → editing 状态迁移
2. 无片段时从模板复制片段配置
3. 为无素材片段分配指定素材
4. 项目有素材库时自动选素材
"""
from __future__ import annotations
import logging
import random
from typing import Any
from app.services.edit_plan_service import EditPlanService
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.template_clip_config_repository import (
SQLAlchemyTemplateClipConfigRepository,
)
from packages.adapters.sqlalchemy_impl.template_repository import (
SQLAlchemyTemplateRepository,
)
from packages.domain.edit_plan import EditPlanStatus
logger = logging.getLogger(__name__)
def _auto_fallback_draft_to_editing(svc: EditPlanService, plan_id: str, plan_check) -> None:
"""自动兜底 1: draft → editing"""
if plan_check.status == EditPlanStatus.DRAFT:
logger.info("模板编辑器自动兜底: plan=%s draft→editing", plan_id)
svc.transition_status(plan_id, EditPlanStatus.EDITING)
def _auto_fallback_copy_template_clips(svc: EditPlanService, plan_id: str, plan_check, db: Session) -> None:
"""自动兜底 2: 无片段 + 有 template_id → 从模板复制片段配置"""
existing_clips = svc.count_clips(plan_id)
if existing_clips == 0 and plan_check.template_id:
logger.info(
"模板编辑器自动兜底: plan=%s 无片段,从模板 %s 复制片段配置",
plan_id,
plan_check.template_id,
)
clip_config_repo = SQLAlchemyTemplateClipConfigRepository(db)
configs = clip_config_repo.list_by_template(plan_check.template_id)
if configs:
for cfg in configs:
svc.create_clip(
plan_id=plan_id,
clip_type=cfg.clip_type.value if hasattr(cfg.clip_type, "value") else cfg.clip_type,
order=cfg.order,
template_clip_config_id=cfg.id,
duration=cfg.default_duration,
transition_effect=(
cfg.transition_effect.value
if hasattr(cfg.transition_effect, "value")
else cfg.transition_effect
),
)
logger.info(
"模板编辑器自动兜底: plan=%s 从 template_clip_configs 复制了 %d 个片段",
plan_id,
len(configs),
)
else:
tpl_repo = SQLAlchemyTemplateRepository(db)
segments = tpl_repo.list_segments(plan_check.template_id)
for seg in segments:
avg_duration = (seg.duration_min + seg.duration_max) / 2
svc.create_clip(
plan_id=plan_id,
clip_type="main",
order=seg.segment_order,
duration=avg_duration,
config={
"material_type": seg.material_type or "",
"template_segment_id": seg.id,
},
)
logger.info(
"模板编辑器自动兜底: plan=%s 从旧模板 segments 复制了 %d 个片段",
plan_id,
len(segments),
)
def _auto_fallback_assign_assets(svc: EditPlanService, plan_id: str, plan_check) -> list:
"""自动兜底 3: 为没有素材的片段分配素材。返回剩余无素材片段列表。"""
all_clips = svc.list_clips(plan_id)
clips_without_asset = [c for c in all_clips if not c.asset_id]
config_asset_ids = (plan_check.config or {}).get("asset_ids", [])
logger.info(
"模板编辑器自动兜底3 诊断: plan=%s total_clips=%d " "clips_without_asset=%d config_asset_ids=%r",
plan_id,
len(all_clips),
len(clips_without_asset),
config_asset_ids[:5] if config_asset_ids else [],
)
if clips_without_asset and config_asset_ids:
logger.info(
"模板编辑器自动兜底3: plan=%s%d 个无素材片段分配 %d 个指定素材",
plan_id,
len(clips_without_asset),
len(config_asset_ids),
)
assigned = 0
for i, clip in enumerate(clips_without_asset):
asset_idx = i % len(config_asset_ids)
try:
svc.assign_asset(clip.id, config_asset_ids[asset_idx])
assigned += 1
except Exception as exc:
logger.error(
"模板编辑器自动兜底3: plan=%s clip=%s 分配素材 %s 失败: %s",
plan_id,
clip.id,
config_asset_ids[asset_idx],
exc,
)
logger.info(
"模板编辑器自动兜底3: plan=%s 素材分配完成 assigned=%d/%d",
plan_id,
assigned,
len(clips_without_asset),
)
# 重新检查剩余无素材片段
all_clips_after = svc.list_clips(plan_id)
clips_without_asset = [c for c in all_clips_after if not c.asset_id]
if clips_without_asset:
logger.warning(
"模板编辑器自动兜底3: plan=%s 仍有 %d 个片段无素材",
plan_id,
len(clips_without_asset),
)
elif not clips_without_asset:
logger.info("模板编辑器自动兜底3: plan=%s 所有片段已有素材,跳过", plan_id)
elif not config_asset_ids:
logger.info(
"模板编辑器自动兜底3: plan=%s config.asset_ids 为空,跳过分配",
plan_id,
)
return clips_without_asset
def _auto_fallback_auto_material_mode(
svc: EditPlanService,
plan_id: str,
plan_check,
clips_without_asset: list,
asset_library_repo: Any,
asset_repo: Any,
user_id: str = "",
) -> None:
"""自动兜底 4: 自动选素材分配给无素材片段
查找策略(按优先级):
1. plan 有 project_id → 从项目素材库查找
2. plan 无 project_id 但有 user_id → 从用户上传的素材中查找
"""
if not clips_without_asset:
return
ready_videos: list = []
source_desc = ""
# 策略 1: 通过 project_id 查找项目素材库
if plan_check.project_id:
libs = asset_library_repo.find_by_project(plan_check.project_id)
video_lib = None
for lib in libs:
lib_kind = lib.kind.value if hasattr(lib.kind, "value") else lib.kind
if lib_kind == "video":
video_lib = lib
break
if video_lib:
assets = asset_repo.find_by_library(video_lib.id)
ready_videos = [
a
for a in assets
if (a.status.value if hasattr(a.status, "value") else a.status) == "ready"
and a.mime_type
and a.mime_type.startswith("video")
]
source_desc = f"素材库 {video_lib.name}"
# 策略 2: 通过 user_id 查找用户上传的素材
if not ready_videos and user_id and hasattr(asset_repo, "find_ready_videos_by_user"):
logger.info(
"模板编辑器自动兜底4: plan=%s project_id 为空,尝试通过 user_id=%s 查找素材",
plan_id,
user_id,
)
ready_videos = asset_repo.find_ready_videos_by_user(user_id)
source_desc = f"用户上传 (user_id={user_id[:8]}...)"
if not ready_videos:
logger.warning(
"模板编辑器自动兜底4: plan=%s 未找到可用素材 (project_id=%s, user_id=%s)",
plan_id,
plan_check.project_id or "(empty)",
user_id[:8] + "..." if user_id else "(empty)",
)
return
logger.info(
"模板编辑器自动兜底4: plan=%s 自动选素材分配给 %d 个无素材片段 (来源: %s, 共 %d 个)",
plan_id,
len(clips_without_asset),
source_desc,
len(ready_videos),
)
random.shuffle(ready_videos)
for i, clip in enumerate(clips_without_asset):
asset = ready_videos[i % len(ready_videos)]
svc.assign_asset(clip.id, asset.id)
logger.info(
"模板编辑器自动兜底4: plan=%s%s 分配了 %d 个素材给 %d 个片段",
plan_id,
source_desc,
len(ready_videos),
len(clips_without_asset),
)
@@ -1,109 +0,0 @@
"""模板编辑器内部工具函数.
纯函数,不依赖请求上下文。
"""
from __future__ import annotations
from typing import Any
from .schemas import ClipAdjustResponse
# 时间线场景颜色映射
_CLIP_TYPE_COLORS = {
"intro": "#6366f1",
"title": "#6366f1",
"product": "#818cf8",
"showcase": "#10b981",
"scene": "#10b981",
"subtitle": "#f59e0b",
"text": "#f59e0b",
"cta": "#ef4444",
"outro": "#ef4444",
"voiceover": "#8b5cf6",
"transition": "#64748b",
}
_DEFAULT_COLOR = "#6366f1"
def _format_time(seconds: float) -> str:
"""秒数格式化为 m:ss"""
m = int(seconds) // 60
s = int(seconds) % 60
return f"{m}:{s:02d}"
def _clip_type_to_scene_label(clip_type: str, text_content: str) -> str:
"""片段类型转时间线场景标签"""
type_labels = {
"intro": "开场",
"title": "标题",
"product": "产品展示",
"showcase": "场景展示",
"scene": "场景",
"subtitle": "字幕",
"text": "文字",
"cta": "结尾 CTA",
"outro": "结尾",
"voiceover": "配音",
"transition": "转场",
}
label = type_labels.get(clip_type, clip_type or "片段")
if text_content:
short = text_content[:20].strip()
if short:
return f"{label} - {short}"
return label
# ── 片段调整相关工具 ────────────────────────────────────────────────────────
def _get_clip_config(clip) -> dict:
"""安全获取 clip.config"""
config = getattr(clip, "config", {}) or {}
if not isinstance(config, dict):
config = {}
return config
def _get_adjust_volume(clip) -> float:
"""获取片段音量"""
config = _get_clip_config(clip)
return float(config.get("volume", 1.0))
def _get_adjust_trim(clip) -> tuple[float, float]:
"""获取片段裁剪起止"""
config = _get_clip_config(clip)
trim_start = float(config.get("trim_start", 0.0))
trim_end = float(config.get("trim_end", 0.0))
return trim_start, trim_end
def _build_adjust_response(clip) -> ClipAdjustResponse:
"""构造片段调整响应"""
trim_start, trim_end = _get_adjust_trim(clip)
return ClipAdjustResponse(
clip_id=clip.id,
speed=clip.playback_speed,
volume=_get_adjust_volume(clip),
trim_start=trim_start,
trim_end=trim_end,
duration=clip.duration,
)
def _validate_trim(trim_start: float, trim_end: float, total_duration: float) -> None:
"""校验裁剪时长合法性"""
if trim_start + trim_end >= total_duration:
raise ValueError(
f"裁剪总时长({trim_start + trim_end:.2f}s)不能大于等于片段总时长({total_duration:.2f}s"
)
def _clip_value(value: Any) -> str:
"""获取枚举/字符串值的统一方法"""
if hasattr(value, "value"):
return value.value
return str(value)
@@ -1,167 +0,0 @@
"""片段调整路由.
端点:
- PUT /clips/{clip_id}/speed 调速
- PUT /clips/{clip_id}/volume 调音量
- PUT /clips/{clip_id}/trim 裁剪
- PUT /clips/{clip_id}/adjustments 统一调整
- POST /clips/batch-speed 批量调速
"""
from __future__ import annotations
from typing import Any
from app.auth import AuthenticatedUser, get_current_user
from app.services.edit_plan_service import EditPlanService
from app.services.edit_template_service import EditTemplateService
from fastapi import APIRouter, Depends, HTTPException
from ._utils import _build_adjust_response, _get_adjust_trim, _get_clip_config, _validate_trim
from .dependencies import get_draft_plan_id, get_editor_services
from .schemas import (
BatchSpeedRequest,
BatchSpeedResponse,
ClipAdjustmentsRequest,
ClipAdjustResponse,
SpeedAdjustRequest,
TrimAdjustRequest,
VolumeAdjustRequest,
)
router = APIRouter(tags=["Template Editor"])
@router.put("/clips/{clip_id}/speed", response_model=ClipAdjustResponse)
def adjust_editor_clip_speed(
template_id: str,
clip_id: str,
body: SpeedAdjustRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> ClipAdjustResponse:
"""调整片段播放速度"""
_, plan_svc = services
clip = plan_svc.get_clip(clip_id)
if not clip:
raise HTTPException(status_code=404, detail="片段不存在")
updated = plan_svc.update_clip(clip_id, playback_speed=body.speed)
return _build_adjust_response(updated)
@router.put("/clips/{clip_id}/volume", response_model=ClipAdjustResponse)
def adjust_editor_clip_volume(
template_id: str,
clip_id: str,
body: VolumeAdjustRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> ClipAdjustResponse:
"""调整片段音量"""
_, plan_svc = services
clip = plan_svc.get_clip(clip_id)
if not clip:
raise HTTPException(status_code=404, detail="片段不存在")
config = dict(_get_clip_config(clip))
config["volume"] = body.volume
updated = plan_svc.update_clip(clip_id, config=config)
return _build_adjust_response(updated)
@router.put("/clips/{clip_id}/trim", response_model=ClipAdjustResponse)
def adjust_editor_clip_trim(
template_id: str,
clip_id: str,
body: TrimAdjustRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> ClipAdjustResponse:
"""裁剪片段(trim in/out"""
_, plan_svc = services
clip = plan_svc.get_clip(clip_id)
if not clip:
raise HTTPException(status_code=404, detail="片段不存在")
try:
_validate_trim(body.trim_start, body.trim_end, clip.duration)
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e)) from e
config = dict(_get_clip_config(clip))
config["trim_start"] = body.trim_start
config["trim_end"] = body.trim_end
updated = plan_svc.update_clip(clip_id, config=config)
return _build_adjust_response(updated)
@router.put("/clips/{clip_id}/adjustments", response_model=ClipAdjustResponse)
def adjust_editor_clip_all(
template_id: str,
clip_id: str,
body: ClipAdjustmentsRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> ClipAdjustResponse:
"""统一调整片段的 speed / volume / trim"""
_, plan_svc = services
clip = plan_svc.get_clip(clip_id)
if not clip:
raise HTTPException(status_code=404, detail="片段不存在")
update_kwargs: dict[str, Any] = {}
config_updates: dict[str, Any] = {}
if body.speed is not None:
update_kwargs["playback_speed"] = body.speed
if body.volume is not None:
config_updates["volume"] = body.volume
if body.trim_start is not None:
config_updates["trim_start"] = body.trim_start
if body.trim_end is not None:
config_updates["trim_end"] = body.trim_end
current_trim_start, current_trim_end = _get_adjust_trim(clip)
new_trim_start = body.trim_start if body.trim_start is not None else current_trim_start
new_trim_end = body.trim_end if body.trim_end is not None else current_trim_end
if body.trim_start is not None or body.trim_end is not None:
try:
_validate_trim(new_trim_start, new_trim_end, clip.duration)
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e)) from e
if config_updates:
config = dict(_get_clip_config(clip))
config.update(config_updates)
update_kwargs["config"] = config
if not update_kwargs:
return _build_adjust_response(clip)
updated = plan_svc.update_clip(clip_id, **update_kwargs)
return _build_adjust_response(updated)
@router.post("/clips/batch-speed", response_model=BatchSpeedResponse)
def batch_adjust_editor_speed(
template_id: str,
body: BatchSpeedRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> BatchSpeedResponse:
"""批量调整草稿内所有片段的播放速度"""
_, plan_svc = services
clips = plan_svc.list_clips(plan_id, limit=500, skip=0)
count = 0
for clip in clips:
plan_svc.update_clip(clip.id, playback_speed=body.speed)
count += 1
return BatchSpeedResponse(updated_count=count, plan_id=plan_id)
@@ -1,213 +0,0 @@
"""AI 功能路由.
端点:
- POST /ai-recommend AI 推荐片段方案
"""
from __future__ import annotations
import logging
from app.auth import AuthenticatedUser, get_current_user
from app.dependencies import get_db_session
from app.services.edit_plan_service import EditPlanService
from app.services.edit_template_service import EditTemplateService
from fastapi import APIRouter, Depends, HTTPException, status
from sqlalchemy.orm import Session
from packages.domain.config_schemas import normalize_plan_config
from .dependencies import get_draft_plan_id, get_editor_services
from .schemas import AIRecommendRequest, AIRecommendResponse
logger = logging.getLogger(__name__)
router = APIRouter(tags=["Template Editor"])
def _build_asset_analyses(
asset_ids: list[str],
db: Session,
) -> dict[str, str]:
"""调用 MediaKit 视频理解,返回 {asset_id: 分析文本}.
如果 MediaKit 不可用或分析失败,返回空 dict(调用方降级处理)。
"""
if not asset_ids:
return {}
try:
from packages.adapters.sqlalchemy_impl.asset_repository import SQLAlchemyAssetRepository
from packages.shared.mediakit_client import get_mediakit_client
from packages.shared.storage import get_shared_storage_service
client = get_mediakit_client()
if not client.is_available:
logger.info("MediaKit 未配置,跳过视频理解分析")
return {}
asset_repo = SQLAlchemyAssetRepository(db)
storage_svc = get_shared_storage_service()
# 查找素材并获取下载 URL(使用并行列表保持索引对应,避免 URL 重复导致映射覆盖)
video_urls: list[str] = []
valid_asset_ids: list[str] = []
for aid in asset_ids[:10]: # MediaKit 单次最多 10 个视频
asset = asset_repo.get(aid)
if not asset or not asset.storage_key:
continue
# 只处理视频素材
mime = getattr(asset, "mime_type", "")
if not mime.startswith("video/"):
continue
try:
url = storage_svc.get_download_url(asset.storage_key)
if url:
video_urls.append(url)
valid_asset_ids.append(aid)
except Exception as e:
logger.warning("获取素材URL失败: asset_id=%s error=%s", aid, str(e))
if not video_urls:
logger.info("无可用视频素材,跳过视频理解分析")
return {}
# 调用 MediaKit 视频理解
prompt = (
"请简要描述这段视频的主要内容,包括:场景(室内/室外/具体场所)、"
"主体(人物/物体/动物)、动作/活动、氛围/情绪、主要色调。"
"控制在100字以内。"
)
# 限制轮询参数以适配 API 网关超时(nginx 60s
# 视频理解最多 30spoll_interval=2s * max_poll_attempts=15
# 剩余 30s 留给 LLM 调用
contents = client.analyze_videos(
video_urls=video_urls,
prompt=prompt,
level="Economy",
poll_interval=2.0,
max_poll_attempts=15,
)
if not contents:
logger.warning("MediaKit 视频理解未返回结果")
return {}
# 将结果映射回 asset_id(通过索引对应)
analyses: dict[str, str] = {}
for i, content in enumerate(contents):
if i < len(valid_asset_ids) and content:
analyses[valid_asset_ids[i]] = content
logger.info(
"MediaKit 视频理解完成: total=%d analyzed=%d",
len(video_urls),
len(analyses),
)
return analyses
except Exception as e:
logger.warning("MediaKit 视频理解异常,将降级到无分析模式: %s", str(e))
return {}
@router.post("/ai-recommend", response_model=AIRecommendResponse)
def editor_ai_recommend(
template_id: str,
body: AIRecommendRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
db: Session = Depends(get_db_session),
current_user: AuthenticatedUser = Depends(get_current_user),
) -> AIRecommendResponse:
"""AI 推荐片段方案"""
_, plan_svc = services
plan = plan_svc.get_plan_or_raise(plan_id)
plan_status = plan.status.value if hasattr(plan.status, "value") else plan.status
if plan_status not in ("draft", "editing"):
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="当前草稿状态不支持AI推荐,请先编辑后再试",
)
from packages.shared.ai_service import run_ai_recommend
# 调用 MediaKit 视频理解,获取素材内容分析
asset_analyses = _build_asset_analyses(body.asset_ids, db)
result = run_ai_recommend(
plan_id=plan_id,
template_id=plan.template_id,
asset_ids=body.asset_ids,
editing_mode=body.editing_mode,
target_duration=body.target_duration,
asset_analyses=asset_analyses,
)
try:
plan_svc.delete_all_clips(plan_id)
for clip_data in result["clips"]:
plan_svc.create_clip(
plan_id=plan_id,
clip_type=clip_data["clip_type"],
order=clip_data["order"],
text_content=clip_data.get("text_content", ""),
duration=clip_data["duration"],
transition_effect=clip_data.get("transition_effect", "cut"),
asset_id=clip_data.get("asset_id", ""),
start_time=clip_data.get("start_time", 0.0),
config=clip_data.get("config", {}),
)
normalized_config = normalize_plan_config(result.get("config", {}))
plan_svc.update_plan(
plan_id,
config=normalized_config,
total_duration=result["total_duration"],
)
except Exception as _e:
logger.exception(
"模板编辑器AI推荐写入失败: template_id=%s plan_id=%s",
template_id,
plan_id,
)
try:
db.rollback()
except Exception:
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",
) from _e
logger.info(
"模板编辑器AI推荐: template_id=%s plan_id=%s clips=%d duration=%.1f by user=%s",
template_id,
plan_id,
len(result["clips"]),
result["total_duration"],
current_user.user.id,
)
return AIRecommendResponse(
plan_id=plan_id,
clips=[
{
"clip_type": c["clip_type"],
"order": c["order"],
"text_content": c.get("text_content", ""),
"duration": c["duration"],
"transition_effect": c.get("transition_effect", "cut"),
"asset_id": c.get("asset_id", ""),
"start_time": c.get("start_time", 0.0),
"config": c.get("config", {}),
}
for c in result["clips"]
],
config=normalized_config,
total_duration=result["total_duration"],
confidence=result["confidence"],
)
@@ -1,133 +0,0 @@
"""BGM 管理路由.
端点:
- GET /bgm 获取 BGM 配置
- PUT /bgm 更新 BGM 配置
- GET /bgm/presets 预设 BGM 列表
"""
from __future__ import annotations
import logging
from typing import Any
from app.auth import AuthenticatedUser, get_current_user
from app.services.edit_plan_service import EditPlanService
from app.services.edit_template_service import EditTemplateService
from fastapi import APIRouter, Depends, HTTPException, Query, status
from .dependencies import get_draft_plan_id, get_editor_services
from .schemas import BGMConfigUpdateRequest
logger = logging.getLogger(__name__)
router = APIRouter(tags=["Template Editor"])
@router.get("/bgm", response_model=dict[str, Any])
def get_editor_bgm(
template_id: str,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
):
"""获取草稿的 BGM 配置"""
_, plan_svc = services
plan = plan_svc.get_plan_or_raise(plan_id)
config = plan.config or {}
return {
"plan_id": plan.id,
"bgm": config.get("bgm", {}),
}
@router.put("/bgm", response_model=dict[str, Any])
def update_editor_bgm(
template_id: str,
body: BGMConfigUpdateRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
current_user: AuthenticatedUser = Depends(get_current_user),
):
"""更新草稿的 BGM 配置"""
_, plan_svc = services
plan = plan_svc.get_plan_or_raise(plan_id)
config = dict(plan.config) if plan.config else {}
current_bgm = dict(config.get("bgm", {}))
update_data = body.model_dump(exclude_none=True)
current_bgm.update(update_data)
if current_bgm.get("enabled"):
has_source = any(
current_bgm.get(key)
for key in ("asset_id", "preset_id", "audio_url")
if current_bgm.get(key)
)
if not has_source:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="启用 BGM 时需要指定素材来源(asset_id / preset_id / audio_url",
)
config["bgm"] = current_bgm
updated_plan = plan_svc.update_plan_config(plan_id, config)
logger.info(
"模板编辑器更新BGM: template_id=%s plan_id=%s enabled=%s by user=%s",
template_id,
plan_id,
current_bgm.get("enabled", False),
current_user.user.id,
)
return {
"plan_id": updated_plan.id,
"bgm": current_bgm,
}
@router.get("/bgm/presets", response_model=dict[str, Any])
def list_editor_bgm_presets(
style: str | None = Query(default=None, description="按风格筛选"),
keyword: str | None = Query(default=None, description="关键词搜索"),
skip: int = Query(default=0, ge=0, description="分页偏移"),
limit: int = Query(default=50, ge=1, le=200, description="每页数量"),
_: AuthenticatedUser = Depends(get_current_user),
):
"""获取预设 BGM 列表"""
from packages.domain.preset_bgm import (
BGM_STYLES,
PRESET_BGM_LIBRARY,
list_preset_bgm_by_style,
search_preset_bgm,
)
bgm_list = PRESET_BGM_LIBRARY
if keyword:
bgm_list = search_preset_bgm(keyword)
elif style:
bgm_list = list_preset_bgm_by_style(style)
total = len(bgm_list)
paged = bgm_list[skip : skip + limit]
return {
"total": total,
"skip": skip,
"limit": limit,
"styles": BGM_STYLES,
"items": [
{
"id": bgm.id,
"name": bgm.name,
"style": bgm.style,
"style_label": BGM_STYLES.get(bgm.style, bgm.style),
"duration": bgm.duration,
"artist": bgm.artist,
"description": bgm.description,
"tags": bgm.tags,
"audio_url": bgm.audio_url,
}
for bgm in paged
],
}
@@ -1,393 +0,0 @@
"""片段管理路由.
端点:
- GET /clips 片段列表
- POST /clips 创建片段
- GET /clips/{clip_id} 片段详情
- PUT /clips/{clip_id} 更新片段
- DELETE /clips/{clip_id} 删除片段
- POST /clips/{clip_id}/split 分割片段
- POST /clips/merge 合并片段
- POST /clips/reorder 重排片段
- POST /clips/batch-delete 批量删除
- POST /clips/from-assets 从素材创建片段
"""
from __future__ import annotations
import logging
from app.auth import AuthenticatedUser, get_current_user
from app.core.storage import get_storage_service
from app.dependencies import get_asset_repository
from app.services.edit_plan_service import EditPlanService
from app.services.edit_template_service import EditTemplateService
from fastapi import APIRouter, Depends, HTTPException, Query, status
from packages.adapters.sqlalchemy_impl.asset_repository import SQLAlchemyAssetRepository
from .dependencies import get_draft_plan_id, get_editor_services
from .schemas import (
ClipBatchDeleteRequest,
ClipBatchDeleteResponse,
ClipReorderRequest,
ClipReorderResponse,
ClipsFromAssetsRequest,
ClipsFromAssetsResponse,
EditorClipCreateRequest,
EditorClipListResponse,
EditorClipResponse,
EditorClipUpdateRequest,
MergeClipsRequest,
SplitClipRequest,
)
logger = logging.getLogger(__name__)
router = APIRouter(tags=["Template Editor"])
def _clip_to_response(clip, asset_url: str | None = None) -> EditorClipResponse:
"""统一构造片段响应 — 与 edit_plan_clips 表字段完全对齐"""
def _enum_str(val) -> str:
return val.value if hasattr(val, "value") else str(val)
def _fmt_dt(val) -> str:
if val is None:
return ""
if hasattr(val, "isoformat"):
return val.isoformat()
return str(val)
return EditorClipResponse(
id=clip.id,
plan_id=clip.plan_id,
clip_type=_enum_str(getattr(clip, "clip_type", "")),
order=clip.order,
duration=clip.duration,
start_time=getattr(clip, "start_time", 0.0) or 0.0,
text_content=clip.text_content or "",
transition_effect=_enum_str(getattr(clip, "transition_effect", "cut")),
transition_duration=getattr(clip, "transition_duration", 0.0) or 0.0,
playback_speed=clip.playback_speed or 1.0,
asset_id=getattr(clip, "asset_id", "") or "",
asset_url=asset_url,
status=getattr(clip, "status", "pending") or "pending",
template_clip_config_id=getattr(clip, "template_clip_config_id", "") or "",
config=clip.config or {},
created_at=_fmt_dt(getattr(clip, "created_at", None)),
updated_at=_fmt_dt(getattr(clip, "updated_at", None)),
)
def _build_asset_url_map(
asset_ids: list[str],
asset_repo: SQLAlchemyAssetRepository,
) -> dict[str, str | None]:
"""批量查询素材并生成签名URL映射.
Returns:
{asset_id: signed_url_or_None}
"""
if not asset_ids:
return {}
# 去重:多个 clip 可能引用同一个素材
# 去重并保持顺序
seen: set[str] = set()
unique_ids = []
for aid in asset_ids:
if aid and aid not in seen:
seen.add(aid)
unique_ids.append(aid)
result: dict[str, str | None] = {}
try:
storage = get_storage_service()
except Exception:
logger.warning("获取存储服务失败,跳过asset_url生成")
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)
try:
assets = asset_repo.find_by_ids(unique_ids)
asset_map = {a.id: a for a in assets}
except Exception:
logger.warning("批量查询素材失败: asset_ids=%s", asset_ids, exc_info=True)
return {aid: None for aid in asset_ids if aid}
for aid in unique_ids:
try:
asset = asset_map.get(aid)
if asset is None:
result[aid] = None
continue
storage_key = getattr(asset, "storage_key", None) or ""
if not storage_key:
result[aid] = None
continue
result[aid] = storage.get_download_url(storage_key, expires_seconds=3600)
except Exception:
logger.warning("生成素材签名URL失败: asset_id=%s", aid, exc_info=True)
result[aid] = None
return result
@router.get("/clips", response_model=EditorClipListResponse)
def list_draft_clips(
template_id: str,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
asset_repo: SQLAlchemyAssetRepository = Depends(get_asset_repository),
skip: int = Query(default=0, ge=0),
limit: int = Query(default=100, ge=1, le=500),
_: AuthenticatedUser = Depends(get_current_user),
):
"""获取草稿的片段列表"""
_, plan_svc = services
clips = plan_svc.list_clips(plan_id, skip=skip, limit=limit)
total = plan_svc.count_clips(plan_id)
# 批量解析素材签名URL
asset_ids = [getattr(c, "asset_id", "") or "" for c in clips]
asset_ids = [aid for aid in asset_ids if aid]
url_map = _build_asset_url_map(asset_ids, asset_repo)
return EditorClipListResponse(
items=[
_clip_to_response(c, asset_url=url_map.get(getattr(c, "asset_id", "") or ""))
for c in clips
],
total=total,
)
@router.post("/clips", response_model=EditorClipResponse, status_code=status.HTTP_201_CREATED)
def create_draft_clip(
template_id: str,
req: EditorClipCreateRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
):
"""在草稿中创建新片段"""
_, plan_svc = services
try:
clip = plan_svc.create_clip(
plan_id,
clip_type=req.clip_type,
order=req.order,
duration=req.duration,
text_content=req.text_content,
transition_effect=req.transition_effect,
config=req.config,
)
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
return _clip_to_response(clip)
@router.put("/clips/{clip_id}", response_model=EditorClipResponse)
def update_draft_clip(
template_id: str,
clip_id: str,
req: EditorClipUpdateRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
):
"""更新草稿中的片段"""
_, plan_svc = services
try:
clip = plan_svc.update_clip(
clip_id,
order=req.order,
duration=req.duration,
text_content=req.text_content,
transition_effect=req.transition_effect,
playback_speed=req.playback_speed,
config=req.config,
)
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
return _clip_to_response(clip)
@router.delete("/clips/{clip_id}", status_code=status.HTTP_204_NO_CONTENT)
def delete_draft_clip(
template_id: str,
clip_id: str,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
):
"""删除草稿中的片段"""
_, plan_svc = services
success = plan_svc.delete_clip(clip_id)
if not success:
raise HTTPException(status_code=404, detail="片段不存在")
return None
@router.get("/clips/{clip_id}", response_model=EditorClipResponse)
def get_draft_clip_detail(
template_id: str,
clip_id: str,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
asset_repo: SQLAlchemyAssetRepository = Depends(get_asset_repository),
_: AuthenticatedUser = Depends(get_current_user),
):
"""获取草稿中的片段详情"""
_, plan_svc = services
clip = plan_svc.get_clip(clip_id)
if clip is None:
raise HTTPException(status_code=404, detail="片段不存在")
if clip.plan_id != plan_id:
raise HTTPException(status_code=404, detail="片段不存在")
asset_id = getattr(clip, "asset_id", "") or ""
url_map = _build_asset_url_map([asset_id], asset_repo) if asset_id else {}
return _clip_to_response(clip, asset_url=url_map.get(asset_id))
@router.post("/clips/{clip_id}/split", status_code=status.HTTP_200_OK)
def split_draft_clip(
template_id: str,
clip_id: str,
body: SplitClipRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
asset_repo: SQLAlchemyAssetRepository = Depends(get_asset_repository),
_: AuthenticatedUser = Depends(get_current_user),
):
"""将一个片段从指定时间点分割为两个片段"""
_, plan_svc = services
clip = plan_svc.get_clip(clip_id)
if clip is None or clip.plan_id != plan_id:
raise HTTPException(status_code=404, detail="片段不存在")
try:
result = plan_svc.split_clip(clip_id, body.split_time)
except ValueError as exc:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST, detail=str(exc)
) from exc
left = result["left_clip"]
right = result["right_clip"]
asset_ids = [getattr(left, "asset_id", "") or "", getattr(right, "asset_id", "") or ""]
asset_ids = [a for a in asset_ids if a]
url_map = _build_asset_url_map(asset_ids, asset_repo)
return {
"left_clip": _clip_to_response(left, asset_url=url_map.get(getattr(left, "asset_id", "") or "")),
"right_clip": _clip_to_response(right, asset_url=url_map.get(getattr(right, "asset_id", "") or "")),
}
@router.post("/clips/merge", status_code=status.HTTP_200_OK)
def merge_draft_clips(
template_id: str,
body: MergeClipsRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
asset_repo: SQLAlchemyAssetRepository = Depends(get_asset_repository),
_: AuthenticatedUser = Depends(get_current_user),
):
"""将多个连续的同类型片段合并为一个片段"""
_, plan_svc = services
for cid in body.clip_ids:
clip = plan_svc.get_clip(cid)
if clip is None or clip.plan_id != plan_id:
raise HTTPException(status_code=404, detail=f"片段不存在: {cid}")
try:
merged = plan_svc.merge_clips(body.clip_ids)
except ValueError as exc:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST, detail=str(exc)
) from exc
asset_id = getattr(merged, "asset_id", "") or ""
url_map = _build_asset_url_map([asset_id], asset_repo) if asset_id else {}
return {
"merged_clip": _clip_to_response(merged, asset_url=url_map.get(asset_id)),
"deleted_clip_ids": body.clip_ids,
}
@router.post("/clips/reorder", response_model=ClipReorderResponse)
def reorder_editor_clips(
template_id: str,
body: ClipReorderRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> ClipReorderResponse:
"""批量重排片段顺序"""
_, plan_svc = services
count = 0
for item in body.items:
try:
plan_svc.update_clip(item.clip_id, order=item.new_order)
count += 1
except ValueError:
pass
return ClipReorderResponse(updated_count=count, plan_id=plan_id)
@router.post("/clips/batch-delete", response_model=ClipBatchDeleteResponse)
def batch_delete_editor_clips(
template_id: str,
body: ClipBatchDeleteRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> ClipBatchDeleteResponse:
"""批量删除片段"""
_, plan_svc = services
deleted = 0
for clip_id in body.clip_ids:
if plan_svc.delete_clip(clip_id):
deleted += 1
return ClipBatchDeleteResponse(deleted_count=deleted, plan_id=plan_id)
@router.post("/clips/from-assets", response_model=ClipsFromAssetsResponse)
def create_clips_from_assets_editor(
template_id: str,
body: ClipsFromAssetsRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
current_user: AuthenticatedUser = Depends(get_current_user),
) -> ClipsFromAssetsResponse:
"""从素材批量创建片段"""
_, plan_svc = services
clips = []
for i, asset_id in enumerate(body.asset_ids):
try:
clip = plan_svc.create_clip(
plan_id,
clip_type="main",
order=body.start_order + i if hasattr(body, "start_order") else i,
duration=5.0,
asset_id=asset_id,
)
clips.append(clip)
except ValueError:
pass
logger.info(
"模板编辑器从素材创建片段: template_id=%s plan_id=%s count=%d by user=%s",
template_id,
plan_id,
len(clips),
current_user.user.id,
)
return ClipsFromAssetsResponse(
created_count=len(clips),
plan_id=plan_id,
clip_ids=[c.id for c in clips],
)
@@ -1,141 +0,0 @@
"""模板编辑器依赖注入.
核心依赖:
- get_editor_services: 获取模板+计划服务
- get_draft_plan_id: 根据 template_id 获取或创建草稿,返回 plan_id
- _check_queue_limits: 生成队列限流检查
"""
from __future__ import annotations
import logging
from app.auth import AuthenticatedUser, get_current_user
from app.core.task_enqueue import GLOBAL_PENDING_LIMIT, USER_PENDING_LIMIT
from app.dependencies import get_db_session
from app.services.edit_plan_service import EditPlanService
from app.services.edit_template_service import EditTemplateService
from fastapi import Depends, HTTPException, status
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.template_repository import (
SQLAlchemyTemplateRepository,
)
logger = logging.getLogger(__name__)
def get_editor_services(
db: Session = Depends(get_db_session),
) -> tuple[EditTemplateService, EditPlanService]:
"""获取模板编辑器所需的两个服务"""
return EditTemplateService(db), EditPlanService(db)
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.
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。
兼容策略:优先从新模板系统(edit_templates 表)查找,
若不存在则回退到旧模板系统(templates 表),确保用户自建模板可用。
"""
tpl_svc, plan_svc = services
user_id = str(current_user.user.id)
# 1. 草稿已存在 → 直接返回
draft = tpl_svc.get_template_draft(template_id)
if draft is not None:
return draft.id
# 2. 新系统有模板 → 用新服务创建草稿
if tpl_svc.get_template(template_id) is not None:
draft = tpl_svc.create_template_draft(template_id, user_id=user_id)
return draft.id
# 3. 回退到旧模板系统(templates 表)
old_repo = SQLAlchemyTemplateRepository(db)
old_template = old_repo.get(template_id, user_id=user_id)
if old_template is None:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="模板不存在")
# 4. 基于旧模板创建草稿计划
from app.services.plan_generator_service import PlanGeneratorService
from packages.domain.edit_template import EditTemplate, EditTemplateStatus
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,
editing_mode=old_template.mode,
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(
TemplateClipConfig(
id=f"seg_{seg.id}",
template_id=old_template.id,
clip_type=ClipType.MAIN,
order=seg.segment_order,
min_duration=seg.duration_min,
max_duration=seg.duration_max,
)
)
generator = PlanGeneratorService(db)
result = generator.generate_from_template(
template=pseudo_template,
clip_configs=clip_configs,
asset_ids=[],
created_by_user_id=user_id,
name=f"{old_template.name} - 草稿",
)
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(
"旧模板自动创建草稿: template_id=%s draft_plan_id=%s user_id=%s",
template_id,
plan.id,
user_id,
)
return plan.id
def _check_queue_limits(gen_task_repo, user_id: str) -> None:
"""队列限流预检查"""
try:
has_count = (
hasattr(gen_task_repo, "count_pending_by_user")
and hasattr(gen_task_repo, "count_pending_total")
)
if has_count:
user_pending = gen_task_repo.count_pending_by_user(user_id)
global_pending = gen_task_repo.count_pending_total()
if user_pending >= USER_PENDING_LIMIT:
raise HTTPException(
status_code=429,
detail=f"您的待处理任务过多(当前 {user_pending}/{USER_PENDING_LIMIT}),请等待完成后再提交",
)
if global_pending >= GLOBAL_PENDING_LIMIT:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
)
except HTTPException:
raise
except Exception as e:
logger.warning("[模板编辑器队列限流] 检查失败,跳过: %s", e)
@@ -1,164 +0,0 @@
"""草稿管理路由.
端点:
- GET / 获取草稿详情
- PUT / 更新草稿
- POST /publish 发布草稿到模板
- GET /versions 模板版本历史
- POST /rollback 回滚到指定版本
"""
from __future__ import annotations
from app.auth import AuthenticatedUser, get_current_user
from app.services.edit_plan_service import EditPlanService
from app.services.edit_template_service import EditTemplateService
from fastapi import APIRouter, Depends, HTTPException, Query, status
from .dependencies import get_draft_plan_id, get_editor_services
from .schemas import (
EditorDraftResponse,
EditorPublishResponse,
EditorRollbackRequest,
EditorRollbackResponse,
EditorTemplateVersionItem,
EditorUpdateRequest,
EditorVersionListResponse,
)
router = APIRouter(tags=["Template Editor"])
@router.get("", response_model=EditorDraftResponse)
def get_editor_draft(
template_id: str,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
):
"""获取模板编辑器草稿详情
首次访问时自动创建草稿。
"""
_, plan_svc = services
plan = plan_svc.get_plan_or_raise(plan_id)
clips = plan_svc.list_clips(plan_id)
return EditorDraftResponse(
plan_id=plan.id,
template_id=plan.template_id,
name=plan.name,
status=plan.status.value if hasattr(plan.status, "value") else str(plan.status),
config=plan.config or {},
total_duration=plan.total_duration,
clip_count=len(clips),
)
@router.put("", response_model=EditorDraftResponse)
def update_editor_draft(
template_id: str,
req: EditorUpdateRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
):
"""更新模板编辑器草稿"""
_, plan_svc = services
plan = plan_svc.update_plan(
plan_id,
name=req.name,
config=req.config,
total_duration=req.total_duration,
)
clips = plan_svc.list_clips(plan_id)
return EditorDraftResponse(
plan_id=plan.id,
template_id=plan.template_id,
name=plan.name,
status=plan.status.value if hasattr(plan.status, "value") else str(plan.status),
config=plan.config or {},
total_duration=plan.total_duration,
clip_count=len(clips),
)
@router.post("/publish", response_model=EditorPublishResponse, status_code=status.HTTP_200_OK)
def publish_draft_to_template(
template_id: str,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
):
"""将草稿发布(同步)到正式模板
草稿的 config 和 clips 会同步覆盖到模板,事务保证一致性。
"""
tpl_svc, plan_svc = services
try:
tpl = tpl_svc.publish_template_from_draft(template_id, plan_id)
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
clips = plan_svc.list_clips(plan_id)
return EditorPublishResponse(
template_id=tpl.id,
status="published",
clip_count=len(clips),
version=tpl.version,
)
@router.get("/versions", response_model=EditorVersionListResponse)
def list_template_versions(
template_id: str,
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
limit: int = Query(default=50, ge=1, le=200),
):
"""查询模板发布版本历史"""
tpl_svc, _ = services
versions = tpl_svc.list_template_versions(template_id, limit=limit)
items = [
EditorTemplateVersionItem(
version=v.version,
name=v.name,
editing_mode=v.editing_mode,
clip_count=len(v.clip_configs),
change_note=v.change_note,
published_by=v.published_by,
created_at=(
v.created_at.isoformat()
if hasattr(v.created_at, "isoformat")
else str(v.created_at)
),
)
for v in versions
]
return EditorVersionListResponse(versions=items, total=len(items))
@router.post("/rollback", response_model=EditorRollbackResponse, status_code=status.HTTP_200_OK)
def rollback_template(
template_id: str,
request: EditorRollbackRequest,
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
):
"""回滚模板到指定历史版本
回滚本身也是一次发布,版本号会 +1,可以再次回滚。
"""
tpl_svc, _ = services
try:
tpl = tpl_svc.rollback_to_version(template_id, request.version)
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
clip_configs = tpl_svc.list_clip_configs(template_id)
return EditorRollbackResponse(
template_id=tpl.id,
status="rolled_back",
rollback_to_version=request.version,
new_version=tpl.version,
clip_count=len(clip_configs),
)
@@ -1,195 +0,0 @@
"""转场 & 滤镜路由.
端点:
- GET /transition-presets 转场预设列表
- PUT /clips/{clip_id}/transition 单片段转场
- POST /transitions/batch 批量转场
- GET /filter-presets 滤镜预设列表
- GET /filter 滤镜配置
- PUT /filter 更新滤镜
"""
from __future__ import annotations
from app.auth import AuthenticatedUser, get_current_user
from app.services.edit_plan_service import EditPlanService
from app.services.edit_template_service import EditTemplateService
from fastapi import APIRouter, Depends, HTTPException
from packages.domain.config_schemas import normalize_plan_config
from .dependencies import get_draft_plan_id, get_editor_services
from .schemas import (
BatchTransitionRequest,
BatchTransitionResponse,
ClipTransitionResponse,
FilterConfigResponse,
FilterPresetListResponse,
FilterUpdateRequest,
TransitionPresetListResponse,
TransitionUpdateRequest,
)
router = APIRouter(tags=["Template Editor"])
# ── 转场 ────────────────────────────────────────────────────────────────────
@router.get("/transition-presets", response_model=TransitionPresetListResponse)
def list_editor_transition_presets(
_: AuthenticatedUser = Depends(get_current_user),
) -> TransitionPresetListResponse:
"""获取转场预设列表"""
from packages.domain.transition_presets import TRANSITION_PRESETS
items = [
{
"id": p["id"],
"name": p["name"],
"category": p.get("category", "通用"),
"duration": p.get("default_duration", 0.5),
"description": p.get("description", ""),
}
for p in TRANSITION_PRESETS
]
return TransitionPresetListResponse(items=items, total=len(items))
@router.put("/clips/{clip_id}/transition", response_model=ClipTransitionResponse)
def update_editor_clip_transition(
template_id: str,
clip_id: str,
body: TransitionUpdateRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> ClipTransitionResponse:
"""设置单个片段的转场效果"""
_, plan_svc = services
try:
clip = plan_svc.update_clip(
clip_id,
transition_effect=body.effect,
transition_duration=body.duration,
)
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
return ClipTransitionResponse(
clip_id=clip.id,
effect=clip.transition_effect.value
if hasattr(clip.transition_effect, "value")
else clip.transition_effect,
duration=clip.transition_duration or 0.5,
)
@router.post("/transitions/batch", response_model=BatchTransitionResponse)
def batch_update_editor_transitions(
template_id: str,
body: BatchTransitionRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> BatchTransitionResponse:
"""批量设置所有片段的转场效果"""
_, plan_svc = services
clips = plan_svc.list_clips(plan_id, limit=500)
updated = 0
for clip in clips:
if clip.order > 0: # 第一个片段不加转场
try:
plan_svc.update_clip(
clip.id,
transition_effect=body.effect,
transition_duration=body.duration,
)
updated += 1
except ValueError:
pass
return BatchTransitionResponse(
updated_count=updated,
plan_id=plan_id,
)
# ── 滤镜 ────────────────────────────────────────────────────────────────────
@router.get("/filter-presets", response_model=FilterPresetListResponse)
def list_editor_filter_presets(
_: AuthenticatedUser = Depends(get_current_user),
) -> FilterPresetListResponse:
"""获取滤镜预设列表"""
from packages.domain.filter_presets import FILTER_PRESETS
items = [
{
"id": p["id"],
"name": p["name"],
"category": p.get("category", "通用"),
"thumbnail": p.get("thumbnail", ""),
"description": p.get("description", ""),
}
for p in FILTER_PRESETS
]
return FilterPresetListResponse(items=items, total=len(items))
@router.get("/filter", response_model=FilterConfigResponse)
def get_editor_filter(
template_id: str,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> FilterConfigResponse:
"""获取草稿的全局滤镜配置"""
_, plan_svc = services
plan = plan_svc.get_plan_or_raise(plan_id)
config = plan.config or {}
filter_config = config.get("filter", {})
return FilterConfigResponse(
plan_id=plan.id,
enabled=filter_config.get("enabled", False),
preset_id=filter_config.get("preset_id", ""),
intensity=filter_config.get("intensity", 1.0),
brightness=filter_config.get("brightness", 0.0),
contrast=filter_config.get("contrast", 1.0),
saturation=filter_config.get("saturation", 1.0),
warmth=filter_config.get("warmth", 0.0),
)
@router.put("/filter", response_model=FilterConfigResponse)
def update_editor_filter(
template_id: str,
body: FilterUpdateRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> FilterConfigResponse:
"""更新草稿的全局滤镜配置"""
_, plan_svc = services
plan = plan_svc.get_plan_or_raise(plan_id)
config = dict(plan.config) if plan.config else {}
current_filter = dict(config.get("filter", {}))
update_data = body.model_dump(exclude_none=True)
current_filter.update(update_data)
config["filter"] = current_filter
updated_plan = plan_svc.update_plan_config(plan_id, normalize_plan_config(config))
return FilterConfigResponse(
plan_id=updated_plan.id,
enabled=current_filter.get("enabled", False),
preset_id=current_filter.get("preset_id", ""),
intensity=current_filter.get("intensity", 1.0),
brightness=current_filter.get("brightness", 0.0),
contrast=current_filter.get("contrast", 1.0),
saturation=current_filter.get("saturation", 1.0),
warmth=current_filter.get("warmth", 0.0),
)
@@ -1,106 +0,0 @@
"""导出配置路由.
端点:
- GET /export-presets 导出预设列表
- GET /export 导出配置
- PUT /export 更新导出配置
"""
from __future__ import annotations
from app.auth import AuthenticatedUser, get_current_user
from app.services.edit_plan_service import EditPlanService
from app.services.edit_template_service import EditTemplateService
from fastapi import APIRouter, Depends
from packages.domain.config_schemas import normalize_plan_config
from .dependencies import get_draft_plan_id, get_editor_services
from .schemas import ExportConfigResponse, ExportPresetListResponse, ExportUpdateRequest
router = APIRouter(tags=["Template Editor"])
@router.get("/export-presets", response_model=ExportPresetListResponse)
def list_editor_export_presets(
_: AuthenticatedUser = Depends(get_current_user),
) -> ExportPresetListResponse:
"""获取导出预设列表"""
from packages.domain.export_presets import EXPORT_PRESETS
items = [
{
"id": p["id"],
"name": p["name"],
"resolution": p.get("resolution", "1080p"),
"fps": p.get("fps", 30),
"video_bitrate": p.get("bitrate", ""),
"audio_bitrate": p.get("audio_bitrate", 128),
"format": p.get("format", "mp4"),
"quality_preset": p.get("quality_preset", "balanced"),
"description": p.get("description", ""),
"size_hint": p.get("size_hint", ""),
}
for p in EXPORT_PRESETS
]
return ExportPresetListResponse(items=items, total=len(items))
@router.get("/export", response_model=ExportConfigResponse)
def get_editor_export(
template_id: str,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> ExportConfigResponse:
"""获取草稿的导出配置"""
_, plan_svc = services
plan = plan_svc.get_plan_or_raise(plan_id)
config = plan.config or {}
export_config = config.get("export", {})
return ExportConfigResponse(
plan_id=plan.id,
resolution=export_config.get("resolution", "1080p"),
fps=export_config.get("fps", 30),
video_bitrate=export_config.get("video_bitrate", 4000),
audio_bitrate=export_config.get("audio_bitrate", 128),
format=export_config.get("format", "mp4"),
quality_preset=export_config.get("quality_preset", "balanced"),
watermark_enabled=export_config.get("watermark_enabled", True),
watermark_text=export_config.get("watermark_text", ""),
)
@router.put("/export", response_model=ExportConfigResponse)
def update_editor_export(
template_id: str,
body: ExportUpdateRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> ExportConfigResponse:
"""更新草稿的导出配置"""
_, plan_svc = services
plan = plan_svc.get_plan_or_raise(plan_id)
config = dict(plan.config) if plan.config else {}
current_export = dict(config.get("export", {}))
update_data = body.model_dump(exclude_none=True)
current_export.update(update_data)
config["export"] = current_export
updated_plan = plan_svc.update_plan_config(plan_id, normalize_plan_config(config))
updated_export = (updated_plan.config or {}).get("export", {})
return ExportConfigResponse(
plan_id=updated_plan.id,
resolution=updated_export.get("resolution", "1080p"),
fps=updated_export.get("fps", 30),
video_bitrate=updated_export.get("video_bitrate", 4000),
audio_bitrate=updated_export.get("audio_bitrate", 128),
format=updated_export.get("format", "mp4"),
quality_preset=updated_export.get("quality_preset", "balanced"),
watermark_enabled=updated_export.get("watermark_enabled", True),
watermark_text=updated_export.get("watermark_text", ""),
)
@@ -1,383 +0,0 @@
"""草稿生成路由.
端点:
- POST /generate 触发生成
- GET /generation-status 生成进度
- GET /generations 生成记录列表
"""
from __future__ import annotations
import json
import logging
from typing import Any, Optional
from app.auth import AuthenticatedUser, get_current_user
from app.core.celery_app import celery_app
from app.core.storage import OSSStorageService, get_storage_service
from app.dependencies import (
get_asset_library_repository,
get_asset_repository,
get_db_session,
get_generated_video_repository,
)
from app.schemas.generation_task import GenerationTaskResponse
from app.services.edit_plan_service import EditPlanService
from app.services.edit_template_service import EditTemplateService
from fastapi import APIRouter, Depends, HTTPException, status
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.generation_task_repository import (
SQLAlchemyGenerationTaskRepository,
)
from packages.application.generated_videos import ListGeneratedVideosByTaskUseCase
from packages.application.generation_tasks import (
CreateGenerationTaskCommand,
CreateGenerationTaskUseCase,
)
from packages.domain.edit_plan import EditPlanStatus
from ._fallback import (
_auto_fallback_assign_assets,
_auto_fallback_auto_material_mode,
_auto_fallback_copy_template_clips,
_auto_fallback_draft_to_editing,
)
from .dependencies import _check_queue_limits, get_draft_plan_id, get_editor_services
from .schemas import (
ClipStatusItem,
EditPlanGenerateRequest,
EditPlanGenerateResponse,
EditPlanGenerationsResponse,
EditPlanGenerationStatusResponse,
)
logger = logging.getLogger(__name__)
router = APIRouter(tags=["Template Editor"])
@router.post("/generate", response_model=EditPlanGenerateResponse)
def generate_editor_draft(
template_id: str,
request: Optional[EditPlanGenerateRequest] = None,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
db: Session = Depends(get_db_session),
current_user: AuthenticatedUser = Depends(get_current_user),
asset_library_repo: Any = Depends(get_asset_library_repository),
asset_repo: Any = Depends(get_asset_repository),
) -> EditPlanGenerateResponse:
"""触发模板草稿渲染生成"""
req = request or EditPlanGenerateRequest()
_, plan_svc = services
plan_check = plan_svc.get_plan_or_raise(plan_id)
# 自动兜底流程
_auto_fallback_draft_to_editing(plan_svc, plan_id, plan_check)
_auto_fallback_copy_template_clips(plan_svc, plan_id, plan_check, db)
clips_without_asset = _auto_fallback_assign_assets(plan_svc, plan_id, plan_check)
_auto_fallback_auto_material_mode(
plan_svc,
plan_id,
plan_check,
clips_without_asset,
asset_library_repo,
asset_repo,
user_id=str(current_user.user.id),
)
# 检查是否可复用已完成的预览产物(预览品质已与正式一致)
gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
reusable_task = _find_reusable_preview_task(gen_task_repo, plan_id, plan_check)
if reusable_task:
# 复用预览产物:标记为正式产出,跳过渲染
# 如果前端传了 title_config,需要创建新任务(因为预览任务的 custom_title 可能不同)
title_config_reuse = req.title_config or {}
title_text_reuse = (title_config_reuse.get("text") or "").strip()
existing_custom_title = getattr(reusable_task, "custom_title", "") or ""
if title_text_reuse and existing_custom_title:
# 如果新标题和已有标题不同,不能复用,走新建任务流程
new_title_json = json.dumps(title_config_reuse, ensure_ascii=False)
if new_title_json != existing_custom_title:
logger.info(
"[模板生成] 标题已变更,跳过复用: task_id=%s",
reusable_task.id,
)
reusable_task = None
elif title_text_reuse and not existing_custom_title:
# 原来没标题,现在有标题,不能复用
logger.info(
"[模板生成] 新增标题,跳过复用: task_id=%s",
reusable_task.id,
)
reusable_task = None
elif not title_text_reuse and existing_custom_title:
# 原来有标题,现在移除了,不能复用
logger.info(
"[模板生成] 移除标题,跳过复用: task_id=%s",
reusable_task.id,
)
reusable_task = None
if reusable_task:
# 复用预览产物:标记为正式产出,跳过渲染
reusable_task.mark_confirmed()
gen_task_repo.update(reusable_task)
# 将产物 URL 写入 plan config
rendered_url = _get_task_output_url(reusable_task, gen_task_repo, db)
plan_svc.update_plan_config(
plan_id,
{
"generation_task_id": reusable_task.id,
"rendered_storage_key": rendered_url, # 统一用 rendered_storage_key
},
)
plan_svc.transition_status(plan_id, EditPlanStatus.COMPLETED)
updated_plan = plan_svc.get_plan_or_raise(plan_id)
logger.info(
"模板编辑器复用预览产物: template_id=%s plan_id=%s task_id=%s by user=%s",
template_id,
plan_id,
reusable_task.id,
current_user.user.id,
)
return EditPlanGenerateResponse(
plan_id=plan_id,
plan_status=updated_plan.status.value if hasattr(updated_plan.status, "value") else updated_plan.status,
generation_task_id=reusable_task.id,
clip_count=len((plan_check.config or {}).get("clips", [])),
)
# 检查是否可生成(含最后防线自动修复 + 诊断日志)
try:
can_gen, reason = plan_svc.can_generate(plan_id)
except ValueError as exc:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
if not can_gen:
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=reason)
try:
clip_count = plan_svc.mark_clips_ready(plan_id)
user_id = current_user.user.id
_check_queue_limits(gen_task_repo, user_id)
gen_task_use_case = CreateGenerationTaskUseCase(gen_task_repo)
plan = plan_svc.get_plan_or_raise(plan_id)
config_asset_ids = (plan.config or {}).get("asset_ids", [])
# 从 plan config 读取封面 URL(由 generate-cover 保存)
cover_url_from_config = (plan.config or {}).get("cover", {}).get("image_url", "")
# 处理标题配置:序列化 title_config 为 JSON 存入 custom_title
title_config = req.title_config or {}
title_text = (title_config.get("text") or "").strip()
custom_title_value = ""
if title_text:
custom_title_value = json.dumps(title_config, ensure_ascii=False)
logger.info(
"[模板生成] 标题配置: text=%s, config_keys=%s",
title_text[:30],
list(title_config.keys()),
)
gen_task = gen_task_use_case.execute(
CreateGenerationTaskCommand(
project_id=plan.project_id or "",
template_id=plan.template_id,
created_by_user_id=current_user.user.id,
source_edit_plan_id=plan_id,
asset_ids=list(config_asset_ids) if config_asset_ids else [],
cover_url=cover_url_from_config,
custom_title=custom_title_value,
),
)
plan_svc.update_plan_config(plan_id, {"generation_task_id": gen_task.id})
plan_svc.transition_status(plan_id, EditPlanStatus.RENDERING)
celery_app.send_task("worker.render_edit_plan", args=[plan_id])
updated_plan = plan_svc.get_plan_or_raise(plan_id)
logger.info(
"模板编辑器触发生成: template_id=%s plan_id=%s gen_task_id=%s clips=%d by user=%s",
template_id,
plan_id,
gen_task.id,
clip_count,
current_user.user.id,
)
return EditPlanGenerateResponse(
plan_id=plan_id,
plan_status=updated_plan.status.value if hasattr(updated_plan.status, "value") else updated_plan.status,
generation_task_id=gen_task.id,
clip_count=clip_count,
)
except HTTPException:
raise
except Exception as _e:
logger.exception(
"模板编辑器触发生成失败: template_id=%s plan_id=%s",
template_id,
plan_id,
)
try:
plan_svc.transition_status(plan_id, EditPlanStatus.FAILED)
except Exception:
pass
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="生成失败,请稍后重试",
) from _e
def _find_reusable_preview_task(gen_task_repo, plan_id: str, plan) -> "object | None":
"""查找该 plan 关联的已完成预览任务,判断是否可复用。
复用条件:
1. 存在 source_edit_plan_id == plan_id 的已完成预览任务
2. plan 在预览完成后未被修改(updated_at <= 预览完成时间)
Returns:
可复用的 GenerationTask,或 None
"""
try:
tasks = gen_task_repo.list_by_source_edit_plan(plan_id)
except Exception:
return None
for task in tasks:
if not getattr(task, "is_preview", False):
continue
if not task.is_completed:
continue
# 检查 plan 是否在预览完成后被修改
completed_at = getattr(task, "completed_at", None)
if completed_at and hasattr(plan, "updated_at"):
plan_updated = plan.updated_at
# 如果 plan.updated_at 为空,无法判断是否修改过,跳过
if plan_updated is None:
continue
# 如果 plan 在预览完成后又被修改了,不能复用
if plan_updated > completed_at:
continue
return task
return None
def _get_task_output_url(task, gen_task_repo, db) -> str:
"""获取任务的输出视频 URL。"""
try:
video_repo = get_generated_video_repository(db)
use_case = ListGeneratedVideosByTaskUseCase(video_repo)
videos = use_case.execute(task.id)
if videos:
url = getattr(videos[0], "file_url", "") or ""
# 规范化:合并路径中的双斜杠(保留协议头 ://)
if url:
import re as _re
url = _re.sub(r"(?<!:)//", "/", url)
return url
except Exception:
pass
return ""
@router.get("/generation-status", response_model=EditPlanGenerationStatusResponse)
def get_editor_generation_status(
template_id: str,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
storage_service: OSSStorageService = Depends(get_storage_service),
_: AuthenticatedUser = Depends(get_current_user),
) -> EditPlanGenerationStatusResponse:
"""查询草稿生成进度"""
_, plan_svc = services
try:
gen_status = plan_svc.get_generation_status(plan_id)
except ValueError as exc:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
plan = gen_status["plan"]
clips = gen_status["clips"]
clip_items = [
ClipStatusItem(
clip_id=c.id,
clip_type=c.clip_type,
order=c.order,
status=c.status.value if hasattr(c.status, "value") else c.status,
asset_id=c.asset_id or "",
text_content=c.text_content or "",
duration=c.duration,
)
for c in clips
]
raw_video_url = (plan.config or {}).get("rendered_storage_key", "") or (plan.config or {}).get("rendered_url", "")
video_url = ""
if raw_video_url:
if raw_video_url.startswith("http"):
video_url = raw_video_url # 已经是完整 URL
else:
try:
video_url = storage_service.get_url(raw_video_url) # storage_key -> 完整 URL
except Exception as e:
logger.warning("生成视频URL获取失败: template_id=%s error=%s", template_id, e)
video_url = raw_video_url
progress = gen_status.get("progress", 0.0)
error_message = gen_status.get("error_message", "")
gen_task_status = gen_status.get("generation_task_status")
plan_status_val = plan.status.value if hasattr(plan.status, "value") else plan.status
if plan_status_val == "completed" and progress < 100:
progress = 100.0
return EditPlanGenerationStatusResponse(
plan_id=plan_id,
plan_status=plan_status_val,
generation_task_id=gen_status["generation_task_id"],
generation_task_status=gen_task_status,
progress=progress,
video_url=video_url,
error_message=error_message,
clips=clip_items,
)
@router.get("/generations", response_model=EditPlanGenerationsResponse)
def list_editor_generations(
template_id: str,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
db: Session = Depends(get_db_session),
_: AuthenticatedUser = Depends(get_current_user),
) -> EditPlanGenerationsResponse:
"""查询草稿关联的生成记录列表"""
_, plan_svc = services
plan_svc.get_plan_or_raise(plan_id)
gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
tasks = gen_task_repo.list_by_source_edit_plan(plan_id)
items = [
GenerationTaskResponse(
id=t.id,
project_id=t.project_id,
asset_library_id=t.asset_library_id,
strategy_id=t.strategy_id,
voice_library_id=t.voice_library_id,
template_id=t.template_id,
asset_ids=t.asset_ids,
title_ids=t.title_ids,
voice_ids=t.voice_ids,
source_edit_plan_id=t.source_edit_plan_id or "",
status=t.status.value if hasattr(t.status, "value") else t.status,
progress=t.progress,
result_count=t.result_count,
error_message=t.error_message,
)
for t in tasks
]
return EditPlanGenerationsResponse(items=items, total=len(items))
@@ -1,582 +0,0 @@
"""模板编辑器所有 Pydantic Schema 定义.
集中管理,避免在路由文件里散落 40+ 个 model。
"""
from __future__ import annotations
import re as _re
from typing import Any, Dict, List, Optional
from app.schemas.generation_task import GenerationTaskResponse
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"}
_EXPORT_VALID_FORMATS = {"mp4", "mov"}
# ── 生成状态相关 ────────────────────────────────────────────────────────────
class ClipStatusItem(BaseModel):
"""片段生成状态"""
clip_id: str
clip_type: str
order: int
status: str
asset_id: str
text_content: str
duration: float
class EditPlanGenerationStatusResponse(BaseModel):
"""剪辑计划生成进度响应体"""
plan_id: str
plan_status: str
generation_task_id: Optional[str] = None
generation_task_status: Optional[str] = None
progress: float = 0.0
video_url: str = ""
error_message: str = ""
clips: List[ClipStatusItem]
class EditPlanGenerateRequest(BaseModel):
"""模板编辑器触发生成请求体"""
title_config: Optional[Dict[str, Any]] = Field(
default_factory=dict,
description="标题配置(可选),渲染时烧录到视频中。支持字段: text/font/font_size/font_color/position/bold/stroke/shadow",
)
class EditPlanGenerateResponse(BaseModel):
"""剪辑计划触发生成响应体"""
plan_id: str
plan_status: str
generation_task_id: str
clip_count: int
class EditPlanGenerationsResponse(BaseModel):
"""剪辑计划关联的生成记录列表响应体"""
items: List[GenerationTaskResponse]
total: int
# ── AI 推荐 ────────────────────────────────────────────────────────────────
class AIRecommendRequest(BaseModel):
"""AI 推荐片段方案请求体"""
asset_ids: List[str] = Field(default_factory=list, description="素材 ID 列表")
editing_mode: str = Field(
default="one_take", description="剪辑模式: one_take / pip / voice_over / voice_pip"
)
target_duration: float = Field(
default=30.0, ge=1.0, le=600.0, description="目标时长(秒)"
)
class AIRecommendClipItem(BaseModel):
"""AI 推荐的单个片段"""
clip_type: str = Field(..., description="片段类型: intro / showcase / title / subtitle / cta / outro")
order: int = Field(..., ge=0, description="片段顺序")
text_content: str = Field(default="", description="文字内容")
duration: float = Field(..., ge=0.0, description="片段时长(秒)")
transition_effect: str = Field(default="cut", description="转场效果")
transition_duration: float = Field(default=0.0, ge=0.0, description="转场时长(秒),0 表示使用默认值")
asset_id: str = Field(default="", description="关联素材 ID")
start_time: float = Field(default=0.0, ge=0.0, description="素材截取起始时间(秒)")
config: dict[str, Any] = Field(default_factory=dict, description="片段额外配置")
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")
config: dict[str, Any] = Field(..., description="推荐的 plan configcover/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)")
# ── BGM ────────────────────────────────────────────────────────────────────
class BGMConfigUpdateRequest(BaseModel):
"""更新BGM配置请求体"""
enabled: Optional[bool] = Field(default=None, description="是否启用 BGM")
source: Optional[str] = Field(default=None, description="BGM 来源: library/upload/ai_recommend")
asset_id: Optional[str] = Field(default=None, max_length=64, description="BGM 素材 ID")
preset_id: Optional[str] = Field(default=None, max_length=64, description="预设 BGM ID")
audio_url: Optional[str] = Field(default=None, max_length=500, description="BGM 音频 URL")
volume: Optional[float] = Field(default=None, ge=0.0, le=1.0, description="音量 (0.0 ~ 1.0)")
fade_in: Optional[float] = Field(default=None, ge=0.0, le=30.0, description="淡入时长(秒)")
fade_out: Optional[float] = Field(default=None, ge=0.0, le=30.0, description="淡出时长(秒)")
loop_enabled: Optional[bool] = Field(default=None, description="是否循环播放")
sidechain_enabled: Optional[bool] = Field(default=None, description="是否启用人声闪避")
sidechain_ratio: Optional[float] = Field(default=None, ge=0.0, le=1.0, description="闪避音量降低比例")
# ── 片段调整 ────────────────────────────────────────────────────────────────
class SpeedAdjustRequest(BaseModel):
"""调速请求"""
speed: float = Field(..., ge=0.25, le=4.0, description="播放速度 0.25~4.0")
class VolumeAdjustRequest(BaseModel):
"""音量调节请求"""
volume: float = Field(..., ge=0.0, le=2.0, description="音量倍率 0~2.01.0=原音量)")
class TrimAdjustRequest(BaseModel):
"""裁剪请求"""
trim_start: float = Field(0.0, ge=0.0, description="开头裁剪秒数")
trim_end: float = Field(0.0, ge=0.0, description="结尾裁剪秒数")
class ClipAdjustmentsRequest(BaseModel):
"""统一调整请求"""
speed: Optional[float] = Field(default=None, ge=0.25, le=4.0)
volume: Optional[float] = Field(default=None, ge=0.0, le=2.0)
trim_start: Optional[float] = Field(default=None, ge=0.0)
trim_end: Optional[float] = Field(default=None, ge=0.0)
class BatchSpeedRequest(BaseModel):
"""批量调速请求"""
speed: float = Field(..., ge=0.25, le=4.0, description="播放速度")
class ClipAdjustResponse(BaseModel):
"""片段调整响应"""
clip_id: str
speed: float
volume: float
trim_start: float
trim_end: float
duration: float
class BatchSpeedResponse(BaseModel):
"""批量调速响应"""
updated_count: int
plan_id: str
# ── 片段批量操作 ────────────────────────────────────────────────────────────
class ClipReorderItem(BaseModel):
"""重排序条目"""
clip_id: str
new_order: int = Field(..., ge=0, description="新的排序序号")
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")
class ClipReorderResponse(BaseModel):
"""片段重排序响应"""
success: bool = True
updated_count: int
message: str = ""
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")
class ClipBatchDeleteResponse(BaseModel):
"""批量删除片段响应"""
success: bool = True
deleted_count: int
message: str = ""
class ClipsFromAssetsRequest(BaseModel):
"""从素材批量创建片段请求"""
asset_ids: List[str] = Field(
..., min_length=1, max_length=200, description="素材 ID 列表,按顺序追加到时间线末尾"
)
clip_type: str = Field(default="main", description="片段类型,默认 main")
class ClipsFromAssetsResponse(BaseModel):
"""从素材批量创建片段响应"""
success: bool = True
created_count: int
plan_id: str = ""
message: str = ""
clip_ids: List[str] = Field(default_factory=list, description="创建的片段ID列表")
# ── 封面配置 ────────────────────────────────────────────────────────────────
# ── 导出配置 ────────────────────────────────────────────────────────────────
class ExportConfigResponse(BaseModel):
"""导出配置响应"""
resolution: str
fps: int
video_bitrate: int
audio_bitrate: int
format: str
quality_preset: str
watermark_enabled: bool
watermark_text: str
class ExportUpdateRequest(BaseModel):
"""更新导出配置请求"""
resolution: Optional[str] = None
fps: Optional[int] = Field(default=None, ge=15, le=60)
video_bitrate: Optional[int] = Field(default=None, ge=1000, le=20000)
audio_bitrate: Optional[int] = Field(default=None, ge=64, le=320)
format: Optional[str] = None
quality_preset: Optional[str] = None
watermark_enabled: Optional[bool] = None
watermark_text: Optional[str] = None
@validator("resolution")
def validate_resolution(cls, v):
if v is None:
return v
if not _EXPORT_RESOLUTION_PATTERN.match(v):
raise ValueError("分辨率格式错误,应为 宽x高,如 1080x1920")
w, h = v.split("x")
if int(w) < 100 or int(h) < 100:
raise ValueError("分辨率数值过小")
if int(w) > 4096 or int(h) > 4096:
raise ValueError("分辨率数值过大,最大 4096x4096")
return v
@validator("format")
def validate_format(cls, v):
if v is None:
return v
if v not in _EXPORT_VALID_FORMATS:
raise ValueError(f"无效格式: {v},支持: {_EXPORT_VALID_FORMATS}")
return v
@validator("quality_preset")
def validate_quality_preset(cls, v):
if v is None:
return v
if v not in _EXPORT_VALID_QUALITY_PRESETS:
raise ValueError(f"无效质量预设: {v},支持: {_EXPORT_VALID_QUALITY_PRESETS}")
return v
class ExportPresetItem(BaseModel):
"""导出预设条目"""
id: str
name: str
resolution: str
fps: int
video_bitrate: int
audio_bitrate: int
format: str
quality_preset: str
description: str
size_hint: str
class ExportPresetListResponse(BaseModel):
"""导出预设列表响应"""
items: List[ExportPresetItem]
total: int
# ── 滤镜 ────────────────────────────────────────────────────────────────────
class FilterPresetResponse(BaseModel):
"""滤镜预设响应"""
id: str
name: str
category: str
description: str
tags: List[str] = Field(default_factory=list)
class FilterConfigResponse(BaseModel):
"""滤镜配置响应"""
enabled: bool
preset_id: str
intensity: int
brightness: float
contrast: float
saturation: float
warmth: float
class FilterUpdateRequest(BaseModel):
"""更新滤镜配置请求"""
enabled: Optional[bool] = None
preset_id: Optional[str] = None
intensity: Optional[int] = Field(default=None, ge=0, le=100)
brightness: Optional[float] = Field(default=None, ge=-1.0, le=1.0)
contrast: Optional[float] = Field(default=None, ge=0.0, le=2.0)
saturation: Optional[float] = Field(default=None, ge=0.0, le=3.0)
warmth: Optional[float] = Field(default=None, ge=-1.0, le=1.0)
class FilterPresetListResponse(BaseModel):
"""滤镜预设列表响应"""
items: List[FilterPresetResponse]
total: int
# ── 转场 ────────────────────────────────────────────────────────────────────
class TransitionPresetResponse(BaseModel):
"""转场预设响应"""
id: str
name: str
category: str
description: str
tags: List[str] = Field(default_factory=list)
default_duration: float
min_duration: float
max_duration: float
class TransitionUpdateRequest(BaseModel):
"""更新转场请求"""
effect: str = Field(..., description="转场效果 ID")
duration: Optional[float] = Field(default=None, ge=0.0, description="转场时长(秒)")
class BatchTransitionRequest(BaseModel):
"""批量设置转场请求"""
effect: str = Field(..., description="转场效果 ID")
duration: Optional[float] = Field(default=None, ge=0.0, description="转场时长(秒)")
apply_to: str = Field(
default="all",
description="应用范围: all=所有片段, except_first=除第一个外, except_last=除最后一个, middle=中间片段",
)
class ClipTransitionResponse(BaseModel):
"""片段转场信息响应"""
clip_id: str
effect: str
duration: float
class BatchTransitionResponse(BaseModel):
"""批量转场响应"""
updated_count: int
plan_id: str
class TransitionPresetListResponse(BaseModel):
"""转场预设列表响应"""
items: List[TransitionPresetResponse]
total: int
# ── 编辑器草稿 & 片段 ───────────────────────────────────────────────────────
class EditorDraftResponse(BaseModel):
"""模板编辑器草稿详情响应"""
plan_id: str
template_id: str
name: str
status: str
config: dict[str, Any]
total_duration: float
clip_count: int
is_draft: bool = True
class EditorUpdateRequest(BaseModel):
"""更新草稿请求"""
name: Optional[str] = Field(default=None, min_length=1, max_length=200)
config: Optional[dict[str, Any]] = Field(default=None)
total_duration: Optional[float] = Field(default=None, ge=0.0)
class EditorClipResponse(BaseModel):
"""片段响应 — 与数据库 edit_plan_clips 表字段对齐"""
id: str
plan_id: str
clip_type: str
order: int
duration: float
start_time: float = 0.0
text_content: str = ""
transition_effect: str = "cut"
transition_duration: float = 0.0
playback_speed: float = 1.0
asset_id: str = ""
asset_url: str | None = Field(
default=None,
description="素材视频签名URL(1小时有效),用于前端预览播放",
)
status: str = "pending"
template_clip_config_id: str = ""
config: dict[str, Any] = Field(default_factory=dict)
created_at: str = ""
updated_at: str = ""
class EditorClipListResponse(BaseModel):
"""片段列表响应"""
items: List[EditorClipResponse]
total: int
class EditorClipCreateRequest(BaseModel):
"""创建片段请求"""
clip_type: str = Field(..., min_length=1, max_length=32)
order: int = Field(..., ge=0)
duration: float = Field(..., gt=0.0)
text_content: str = Field(default="", max_length=2000)
transition_effect: str = Field(default="cut", max_length=32)
config: dict[str, Any] = Field(default_factory=dict)
class EditorClipUpdateRequest(BaseModel):
"""更新片段请求"""
order: Optional[int] = Field(default=None, ge=0)
duration: Optional[float] = Field(default=None, gt=0.0)
text_content: Optional[str] = Field(default=None, max_length=2000)
transition_effect: Optional[str] = Field(default=None, max_length=32)
playback_speed: Optional[float] = Field(default=None, gt=0.0)
config: Optional[dict[str, Any]] = None
class EditorPublishResponse(BaseModel):
"""发布草稿响应"""
template_id: str
status: str = "published"
clip_count: int
version: int = 1
class EditorTemplateVersionItem(BaseModel):
"""模板版本历史条目"""
version: int
name: str
editing_mode: str
clip_count: int
change_note: str
published_by: str
created_at: str
class EditorVersionListResponse(BaseModel):
"""模板版本列表响应"""
versions: list[EditorTemplateVersionItem]
total: int
class EditorRollbackRequest(BaseModel):
"""回滚请求体"""
version: int
class EditorRollbackResponse(BaseModel):
"""回滚响应"""
template_id: str
status: str = "rolled_back"
rollback_to_version: int
new_version: int
clip_count: int
# ── 片段分割与合并 ──────────────────────────────────────────────────────────
class SplitClipRequest(BaseModel):
"""分割片段请求体"""
split_time: float = Field(..., gt=0, description="分割点(秒,相对于片段起始)")
class MergeClipsRequest(BaseModel):
"""合并片段请求体"""
clip_ids: list[str] = Field(..., min_length=2, description="要合并的片段 ID 列表")
# ── 时间线 ──────────────────────────────────────────────────────────────────
class EditorTimelineSceneResponse(BaseModel):
"""时间线场景"""
scene: str
time: str
duration: float
color: str
clip_id: str = ""
clip_type: str = ""
class EditorTimelineResponse(BaseModel):
"""时间线响应"""
plan_id: str
total_duration: float
scenes: List[EditorTimelineSceneResponse]
@@ -1,173 +0,0 @@
"""字幕管理路由.
端点:
- GET /clips/{clip_id}/subtitles 字幕列表
- POST /clips/{clip_id}/subtitles 新增字幕
- PUT /clips/{clip_id}/subtitles/{subtitle_id} 更新字幕
- DELETE /clips/{clip_id}/subtitles/{subtitle_id} 删除字幕
- PUT /clips/{clip_id}/subtitles 批量更新字幕(全量替换)
"""
from __future__ import annotations
from typing import Any
from app.auth import AuthenticatedUser, get_current_user
from app.services.edit_plan_service import EditPlanService
from app.services.edit_template_service import EditTemplateService
from fastapi import APIRouter, Depends, HTTPException, status
from .dependencies import get_draft_plan_id, get_editor_services
router = APIRouter(tags=["Template Editor"])
def _get_clip_subtitles(plan_svc: EditPlanService, clip_id: str, plan_id: str) -> list[dict[str, Any]]:
"""获取片段字幕列表,统一校验"""
clip = plan_svc.get_clip(clip_id)
if not clip:
raise HTTPException(status_code=404, detail="片段不存在")
if clip.plan_id != plan_id:
raise HTTPException(status_code=404, detail="片段不存在")
config = clip.config or {}
subtitles = config.get("subtitles", [])
if not isinstance(subtitles, list):
subtitles = []
return subtitles
@router.get("/clips/{clip_id}/subtitles", response_model=list[dict[str, Any]])
def get_editor_clip_subtitles(
template_id: str,
clip_id: str,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> list[dict[str, Any]]:
"""获取片段的字幕列表"""
_, plan_svc = services
return _get_clip_subtitles(plan_svc, clip_id, plan_id)
@router.post("/clips/{clip_id}/subtitles", response_model=dict[str, Any])
def create_editor_clip_subtitle(
template_id: str,
clip_id: str,
body: dict[str, Any],
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> dict[str, Any]:
"""新增片段字幕"""
_, plan_svc = services
clip = plan_svc.get_clip(clip_id)
if not clip:
raise HTTPException(status_code=404, detail="片段不存在")
config = dict(clip.config) if clip.config else {}
subtitles = config.get("subtitles", [])
if not isinstance(subtitles, list):
subtitles = []
new_id = f"sub_{len(subtitles) + 1}"
new_subtitle = {
"id": body.get("id", new_id),
"start_time": body.get("start_time", 0.0),
"end_time": body.get("end_time", 0.0),
"text": body.get("text", ""),
"style": body.get("style", {}),
}
subtitles.append(new_subtitle)
config["subtitles"] = subtitles
plan_svc.update_clip(clip_id, config=config)
return new_subtitle
@router.put("/clips/{clip_id}/subtitles/{subtitle_id}", response_model=dict[str, Any])
def update_editor_clip_subtitle(
template_id: str,
clip_id: str,
subtitle_id: str,
body: dict[str, Any],
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> dict[str, Any]:
"""更新片段字幕"""
_, plan_svc = services
clip = plan_svc.get_clip(clip_id)
if not clip:
raise HTTPException(status_code=404, detail="片段不存在")
config = dict(clip.config) if clip.config else {}
subtitles = config.get("subtitles", [])
if not isinstance(subtitles, list):
subtitles = []
found = False
for i, sub in enumerate(subtitles):
if sub.get("id") == subtitle_id:
subtitles[i].update(body)
found = True
break
if not found:
raise HTTPException(status_code=404, detail="字幕不存在")
config["subtitles"] = subtitles
plan_svc.update_clip(clip_id, config=config)
return subtitles[i]
@router.delete(
"/clips/{clip_id}/subtitles/{subtitle_id}",
status_code=status.HTTP_204_NO_CONTENT,
)
def delete_editor_clip_subtitle(
template_id: str,
clip_id: str,
subtitle_id: str,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
):
"""删除片段字幕"""
_, plan_svc = services
clip = plan_svc.get_clip(clip_id)
if not clip:
raise HTTPException(status_code=404, detail="片段不存在")
config = dict(clip.config) if clip.config else {}
subtitles = config.get("subtitles", [])
if not isinstance(subtitles, list):
subtitles = []
new_subtitles = [s for s in subtitles if s.get("id") != subtitle_id]
if len(new_subtitles) == len(subtitles):
raise HTTPException(status_code=404, detail="字幕不存在")
config["subtitles"] = new_subtitles
plan_svc.update_clip(clip_id, config=config)
return None
@router.put("/clips/{clip_id}/subtitles", response_model=list[dict[str, Any]])
def batch_update_editor_clip_subtitles(
template_id: str,
clip_id: str,
body: list[dict[str, Any]],
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> list[dict[str, Any]]:
"""批量更新片段字幕(全量替换)"""
_, plan_svc = services
clip = plan_svc.get_clip(clip_id)
if not clip:
raise HTTPException(status_code=404, detail="片段不存在")
config = dict(clip.config) if clip.config else {}
config["subtitles"] = body
plan_svc.update_clip(clip_id, config=config)
return body
@@ -1,61 +0,0 @@
"""时间线路由.
端点:
- GET /timeline 时间线场景数据
"""
from __future__ import annotations
from app.auth import AuthenticatedUser, get_current_user
from app.services.edit_plan_service import EditPlanService
from app.services.edit_template_service import EditTemplateService
from fastapi import APIRouter, Depends
from ._utils import _CLIP_TYPE_COLORS, _DEFAULT_COLOR, _clip_type_to_scene_label, _format_time
from .dependencies import get_draft_plan_id, get_editor_services
from .schemas import EditorTimelineResponse, EditorTimelineSceneResponse
router = APIRouter(tags=["Template Editor"])
@router.get("/timeline", response_model=EditorTimelineResponse)
def get_editor_timeline(
template_id: str,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> EditorTimelineResponse:
"""获取草稿的时间线场景数据"""
_, plan_svc = services
plan = plan_svc.get_plan_or_raise(plan_id)
clips = plan_svc.list_clips(plan_id=plan_id, skip=0, limit=200)
clips.sort(key=lambda c: c.order)
scenes = []
current_time = 0.0
for clip in clips:
start = current_time
end = start + clip.duration
color = _CLIP_TYPE_COLORS.get(clip.clip_type, _DEFAULT_COLOR)
scene_label = _clip_type_to_scene_label(clip.clip_type, clip.text_content)
scenes.append(
EditorTimelineSceneResponse(
scene=scene_label,
time=f"{_format_time(start)} - {_format_time(end)}",
duration=clip.duration,
color=color,
clip_id=clip.id,
clip_type=clip.clip_type,
)
)
current_time = end
total_duration = sum(s.duration for s in scenes) or plan.total_duration
return EditorTimelineResponse(
plan_id=plan_id,
total_duration=total_duration,
scenes=scenes,
)
+6 -3
View File
@@ -6,7 +6,6 @@ import logging
from typing import Optional
from app.auth import AuthenticatedUser, get_current_user
from app.core.celery_app import celery_app
from app.dependencies import (
get_audio_url_signer,
get_cosyvoice_service,
@@ -182,9 +181,13 @@ def synthesize(
try:
if is_segment:
celery_app.send_task("worker.process_tts_segment_synthesis", args=[job.id])
from worker_app.tasks import process_tts_segment_synthesis
process_tts_segment_synthesis.delay(job.id)
else:
celery_app.send_task("worker.process_tts_synthesis", args=[job.id])
from worker_app.tasks import process_tts_synthesis
process_tts_synthesis.delay(job.id)
except Exception as e:
# Celery 调度失败,标记 job 为 failed
try:
+1 -2
View File
@@ -206,7 +206,6 @@ async def complete_direct_upload(
ingest_job_id="",
duplicated=True,
asset_id=existing.id,
url=storage_service.get_url(normalized_key),
)
job = _submit_ingest_job(
@@ -216,7 +215,7 @@ async def complete_direct_upload(
ingest_job_repository=ingest_job_repository,
file_hash=request.file_hash,
)
return DirectUploadCompleteResponse(storage_key=normalized_key, ingest_job_id=job.id, url=storage_service.get_url(normalized_key))
return DirectUploadCompleteResponse(storage_key=normalized_key, ingest_job_id=job.id)
@router.post(
+7 -87
View File
@@ -6,12 +6,10 @@ import logging
from typing import Optional
from app.auth import AuthenticatedUser, get_current_user
from app.core.celery_app import celery_app
from app.dependencies import get_cosyvoice_service, get_voice_clone_profile_repository
from app.schemas.voice_clone import (
CreateVoiceCloneRequest,
ListVoiceCloneResponse,
VoiceClonePreviewResponse,
VoiceCloneProfileResponse,
VoiceCloneStatusResponse,
)
@@ -20,7 +18,7 @@ from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
from packages.adapters.sqlalchemy_impl.voice_clone_profile_repository import (
SQLAlchemyVoiceCloneProfileRepository,
)
from packages.application.cosyvoice_service import CosyVoiceError, CosyVoiceService
from packages.application.cosyvoice_service import CosyVoiceService
from packages.application.voice_clone.use_cases import (
DeleteVoiceCloneUseCase,
GetVoiceCloneStatusUseCase,
@@ -37,13 +35,6 @@ logger = logging.getLogger(__name__)
router = APIRouter()
# 克隆音色试听缓存(减少重复TTS调用)
# key: clone_id, value: (audio_url, duration, file_size, text, timestamp)
_clone_preview_cache: dict[str, tuple[str, float, int, str, float]] = {}
CLONE_PREVIEW_CACHE_TTL = 7 * 24 * 3600 # 7天TTL
# 默认试听文本
CLONE_PREVIEW_TEMPLATE = "你好,这是我的克隆音色,很高兴能为你配音。"
def _to_response(profile) -> VoiceCloneProfileResponse:
# source_audio_url 是用户传入的原始 URL(可能是外部地址),不做预签名转换
@@ -106,7 +97,9 @@ def create_voice_clone(
task_id = (profile.metadata or {}).get("cosyvoice_task_id", "")
if profile.status == "processing" and task_id:
try:
celery_app.send_task("worker.process_voice_clone", args=[profile.id])
from worker_app.tasks import process_voice_clone
process_voice_clone.delay(profile.id)
logger.info(f"Celery task dispatched for voice clone {profile.id}")
except Exception as e:
logger.error(f"Failed to dispatch Celery task: {e}")
@@ -220,7 +213,9 @@ def retry_voice_clone(
task_id = (profile.metadata or {}).get("cosyvoice_task_id", "")
if profile.status == "processing" and task_id:
try:
celery_app.send_task("worker.process_voice_clone", args=[profile.id])
from worker_app.tasks import process_voice_clone
process_voice_clone.delay(profile.id)
logger.info(f"Celery task dispatched for voice clone retry {profile.id}")
except Exception as e:
logger.error(f"Failed to dispatch Celery task: {e}")
@@ -231,78 +226,3 @@ def retry_voice_clone(
logger.error(f"Failed to mark profile as failed after dispatch error: {inner_e}")
return _to_response(profile)
@router.get("/{clone_id}/preview", response_model=VoiceClonePreviewResponse)
def get_voice_clone_preview(
clone_id: str,
text: str = Query("", description="自定义试听文本,为空则使用默认示例"),
authenticated_user: AuthenticatedUser = Depends(get_current_user),
repository: SQLAlchemyVoiceCloneProfileRepository = Depends(get_voice_clone_profile_repository),
cosyvoice: CosyVoiceService = Depends(get_cosyvoice_service),
) -> VoiceClonePreviewResponse:
"""获取克隆音色试听音频(实时 TTS 合成)。
- 克隆音色必须处于 ready 状态
- 使用默认试听文本时,结果缓存 7 天
- 可传入自定义 text 参数试听不同文本
"""
import time
use_case = GetVoiceCloneUseCase(repository)
try:
profile = use_case.execute(clone_id, authenticated_user.user.id)
except VoiceCloneNotFoundError as _e:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Voice clone not found") from _e
if not profile.is_ready:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Voice clone is not ready (current status: {profile.status})",
)
# 有自定义文本时不缓存
use_cache = not text.strip()
if use_cache and clone_id in _clone_preview_cache:
audio_url, duration, file_size, cached_text, cached_at = _clone_preview_cache[clone_id]
if time.time() - cached_at < CLONE_PREVIEW_CACHE_TTL:
return VoiceClonePreviewResponse(
clone_id=clone_id,
voice_id=profile.voice_id,
audio_url=audio_url,
text=cached_text,
duration=duration,
file_size=file_size,
)
# 合成试听音频
preview_text = text.strip() or CLONE_PREVIEW_TEMPLATE
try:
result = cosyvoice.synthesize_speech(
text=preview_text,
voice_id=profile.voice_id,
format="mp3",
speed=1.0,
)
except CosyVoiceError as e:
raise HTTPException(status_code=502, detail=f"TTS 合成失败: {e}") from e
# 缓存(仅默认试听文本)
if use_cache:
_clone_preview_cache[clone_id] = (
result.audio_url,
result.duration,
result.file_size,
preview_text,
time.time(),
)
return VoiceClonePreviewResponse(
clone_id=clone_id,
voice_id=profile.voice_id,
audio_url=result.audio_url,
text=preview_text,
duration=result.duration,
file_size=result.file_size,
)
+16 -129
View File
@@ -5,8 +5,6 @@
from __future__ import annotations
import logging
import time
from typing import Literal, Optional
from app.api.routes._helpers import get_user_plan
@@ -44,7 +42,6 @@ from packages.domain.preset_voices import PRESET_VOICES, get_preset_voice_by_id
from packages.ports.user_repository import UserRepository
router = APIRouter()
logger = logging.getLogger(__name__)
# 预置音色试听音频缓存(内存缓存,减少重复TTS调用)
# key: voice_id, value: (audio_url, timestamp)
@@ -54,65 +51,6 @@ PREVIEW_CACHE_TTL = 7 * 24 * 3600 # 7天TTL
PREVIEW_TEMPLATE = "你好,我是{name},很高兴认识你。"
def _resolve_preset_preview_url(
voice_id: str,
fallback_url: str,
cosyvoice: CosyVoiceService,
) -> str:
"""为预置音色获取有效的 preview_url.
优先从内存缓存读取;缓存失效时调用 CosyVoice 重新合成;
合成失败时降级返回硬编码 URL(可能已过期,但不会报错)。
"""
# 检查缓存
if voice_id in _preset_preview_cache:
audio_url, cached_at = _preset_preview_cache[voice_id]
if time.time() - cached_at < PREVIEW_CACHE_TTL:
return audio_url
# 缓存失效,调用 CosyVoice 合成
preset = get_preset_voice_by_id(voice_id)
if preset is None:
return fallback_url
preview_text = PREVIEW_TEMPLATE.format(name=preset.name)
try:
result = cosyvoice.synthesize_speech(
text=preview_text,
voice_id=voice_id,
format="mp3",
speed=1.0,
)
audio_url = result.audio_url
_preset_preview_cache[voice_id] = (audio_url, time.time())
logger.info("Preset voice preview generated: %s", voice_id)
return audio_url
except Exception as e:
logger.warning("Failed to generate preview for %s, using fallback: %s", voice_id, e)
return fallback_url
def _resolve_all_preset_preview_urls(
presets: list,
cosyvoice: CosyVoiceService,
) -> dict[str, str]:
"""顺序解析所有预置音色的 preview_url.
采用顺序调用(而非并行)以避免触发 DashScope API 速率限制。
首次调用后结果缓存 7 天,后续请求直接命中缓存。
Returns:
voice_id -> preview_url 映射
"""
result_map: dict[str, str] = {}
for p in presets:
try:
result_map[p.voice_id] = _resolve_preset_preview_url(p.voice_id, p.preview_url, cosyvoice)
except Exception:
result_map[p.voice_id] = p.preview_url
return result_map
def _get_voice_repository(session: Session = Depends(get_db_session)) -> SQLAlchemyVoiceLibraryRepository:
return SQLAlchemyVoiceLibraryRepository(session)
@@ -180,16 +118,8 @@ def _to_unified_response(item, profile_id_map: dict | None = None, sign_url=None
)
def _preset_to_unified_response(preset, preview_url_map: dict[str, str] | None = None) -> UnifiedVoiceItemResponse:
"""将预置音色转换为统一响应格式。
Args:
preset: 预置音色对象
preview_url_map: voice_id -> preview_url 动态映射,优先使用
"""
preview_url = preset.preview_url
if preview_url_map and preset.voice_id in preview_url_map:
preview_url = preview_url_map[preset.voice_id]
def _preset_to_unified_response(preset) -> UnifiedVoiceItemResponse:
"""将预置音色转换为统一响应格式。"""
return UnifiedVoiceItemResponse(
id=preset.voice_id,
type="preset",
@@ -199,40 +129,11 @@ def _preset_to_unified_response(preset, preview_url_map: dict[str, str] | None =
language=preset.language,
voice_id=preset.voice_id,
voice_provider="cosyvoice",
preview_url=preview_url,
preview_url=preset.preview_url,
tags=preset.tags or [],
)
def _clone_profile_to_unified_response(profile) -> UnifiedVoiceItemResponse:
"""将克隆音色档案转换为统一响应格式。
注意:克隆音色是「音色模型」(可用于 TTS 合成任意文本),
不同于配音库条目(具体的配音作品)。
"""
return UnifiedVoiceItemResponse(
id=profile.id,
type="clone",
name=profile.name,
description=profile.description or "",
gender=profile.gender or "unknown",
language=profile.language or "zh-CN",
voice_id=profile.voice_id or "",
voice_provider=profile.voice_model or "cosyvoice",
audio_url="", # 克隆音色没有预合成音频,需通过 /voice-clones/{id}/preview 试听
preview_url="", # 试听需实时合成,前端调用 preview 接口
duration=0,
file_size=0,
status=profile.status.value if hasattr(profile.status, "value") else str(profile.status),
tags=[],
user_id=profile.user_id,
project_id=None,
voice_clone_profile_id=profile.id,
created_at=profile.created_at,
updated_at=profile.updated_at,
)
# ==================== 统一配音列表(预置 + 克隆)====================
@@ -249,7 +150,6 @@ def list_voices_unified(
voice_repository: SQLAlchemyVoiceLibraryRepository = Depends(_get_voice_repository),
clone_profile_repository: SQLAlchemyVoiceCloneProfileRepository = Depends(_get_clone_profile_repository),
sign_url=Depends(get_audio_url_signer),
cosyvoice: CosyVoiceService = Depends(get_cosyvoice_service),
) -> UnifiedVoiceListResponse:
"""获取配音列表(预置音色 + 用户克隆音色)。
@@ -265,30 +165,19 @@ def list_voices_unified(
has_preset = type is None or type == "preset"
has_clone = type is None or type == "clone"
# 获取预置音色(动态生成 preview_url
# 获取预置音色
if has_preset:
preview_url_map = _resolve_all_preset_preview_urls(PRESET_VOICES, cosyvoice)
preset_items = [_preset_to_unified_response(p, preview_url_map) for p in PRESET_VOICES]
preset_items = [_preset_to_unified_response(p) for p in PRESET_VOICES]
preset_count = len(preset_items)
# 获取克隆音色(从 voice_clone_profile 读取,ready 状态的克隆音色)
# 获取克隆音色
if has_clone:
# status_filter 映射:不传则默认只返回 ready 状态(可用的克隆音色)
# 前端可以传 status=all 获取所有状态,或传具体状态过滤
filter_status = None
if status_filter and status_filter != "all":
filter_status = status_filter
elif not status_filter:
filter_status = "ready"
clone_profiles = clone_profile_repository.list_by_user(
user_id,
status=filter_status,
limit=limit,
offset=skip,
)
clone_count = clone_profile_repository.count_by_user(user_id, status=filter_status)
clone_items = [_clone_profile_to_unified_response(p) for p in clone_profiles]
use_case = ListVoiceLibraryUseCase(voice_repository)
clone_items_raw, clone_count = use_case.execute(user_id, status=status_filter, skip=skip, limit=limit)
# 批量查询 voice_id → profile_id 映射,填充 voice_clone_profile_id
voice_ids = [i.voice_id for i in clone_items_raw if i.voice_id]
profile_id_map = clone_profile_repository.find_profile_ids_by_voice_ids(voice_ids) if voice_ids else {}
clone_items = [_to_unified_response(i, profile_id_map, sign_url) for i in clone_items_raw]
# 组装结果
if type == "preset":
@@ -315,15 +204,11 @@ def list_voices_unified(
@router.get("/presets", response_model=PresetVoiceListResponse)
def list_preset_voices(
cosyvoice: CosyVoiceService = Depends(get_cosyvoice_service),
) -> PresetVoiceListResponse:
def list_preset_voices() -> PresetVoiceListResponse:
"""获取预置音色列表。
不需要认证,返回所有系统预置的 CosyVoice 音色。
preview_url 通过 CosyVoice 动态生成,不依赖硬编码的过期 URL。
"""
preview_url_map = _resolve_all_preset_preview_urls(PRESET_VOICES, cosyvoice)
items = [
PresetVoiceItemResponse(
voice_id=p.voice_id,
@@ -331,7 +216,7 @@ def list_preset_voices(
description=p.description,
gender=p.gender,
language=p.language,
preview_url=preview_url_map.get(p.voice_id, p.preview_url),
preview_url=p.preview_url,
tags=p.tags or [],
)
for p in PRESET_VOICES
@@ -351,6 +236,8 @@ def get_preset_voice_preview(
- 相同 voice_id 重复调用直接返回缓存的音频URL
- 可传入自定义 text 参数试听不同文本
"""
import time
preset = get_preset_voice_by_id(voice_id)
if preset is None:
raise HTTPException(status_code=404, detail=f"预置音色不存在: {voice_id}")
+174 -23
View File
@@ -1,28 +1,179 @@
"""API 服务配置(向后兼容层)。
import os
from typing import Optional
统一配置已迁移到 packages.config.api_settings。
新代码请使用:
from packages.config import APISettings, get_api_settings
from pydantic import AliasChoices, Field, field_validator
from pydantic_settings import BaseSettings, SettingsConfigDict
本文件保留 Settings 类名、get_settings() 函数、settings 模块级单例,
确保所有旧的 import 路径仍然有效。
"""
from packages.config import APISettings as Settings
from packages.config import get_api_settings as get_settings
from packages.config import reload_settings_cache
class Settings(BaseSettings):
APP_NAME: str = "xiaoxia-saas"
APP_VERSION: str = "0.1.61"
ENVIRONMENT: str = "development"
DEBUG: bool = True
# 应用基础 URL,用于生成认证邮件中的链接
# 开发环境默认 http://localhost:3000
# 生产环境应通过环境变量 APP_BASE_URL 设置
APP_BASE_URL: str = "http://localhost:3000"
# Container bind address; external expose is controlled by Docker/Nginx.
API_HOST: str = "0.0.0.0" # nosec: B104
API_PORT: int = 8000
DATABASE_URL: str = "postgresql+psycopg://postgres:postgres@localhost:5432/xiaoxia_saas"
DATABASE_POOL_SIZE: int = 20
DATABASE_MAX_OVERFLOW: int = 10 # 调整为合理值:pool_size(20) + max_overflow(10) = 最大30连接
DATABASE_POOL_TIMEOUT: int = 30
DATABASE_POOL_RECYCLE: int = 3600
USE_IN_MEMORY_DB: bool = False
AUTO_CREATE_SCHEMA: bool = False
REDIS_URL: str = "redis://localhost:6379/0"
ENABLE_REDIS_SESSIONS: bool = False
# JWT secret key - MUST be set via environment variable, no default allowed
JWT_SECRET_KEY: Optional[str] = None
# JWT 算法与过期时间(与 .env.example 对齐)
JWT_ALGORITHM: str = "HS256"
JWT_ACCESS_TOKEN_EXPIRE_MINUTES: int = 30
JWT_REFRESH_TOKEN_EXPIRE_DAYS: int = 30
@field_validator("JWT_SECRET_KEY", mode="before")
@classmethod
def validate_jwt_secret_key(cls, v):
if v is None or v == "":
raise ValueError(
"JWT_SECRET_KEY must be set via environment variable. " "Do not use default value in production!"
)
# Block known insecure default values
insecure_defaults = [
"your-secret-key-change-in-production",
"your-secret-key",
"secret",
"changeme",
"password",
]
if v.lower() in [d.lower() for d in insecure_defaults]:
raise ValueError(
f"JWT_SECRET_KEY '{v}' is insecure. " "Please set a strong random secret via environment variable."
)
return v
ENABLE_EMAIL_DELIVERY: bool = False
SMTP_HOST: str = "smtp.gmail.com"
SMTP_PORT: int = 587
SMTP_USER: str = ""
SMTP_PASSWORD: str = ""
SMTP_FROM_EMAIL: str = ""
SMTP_FROM_NAME: str = "小虾 SaaS"
SMTP_USE_TLS: bool = True
CELERY_BROKER_URL: str = "redis://localhost:6379/0"
CELERY_RESULT_BACKEND: str = "redis://localhost:6379/1"
# OSS 七牛云相关
OSS_ENDPOINT: str = "oss-cn-hangzhou.aliyuncs.com"
OSS_ACCESS_KEY_ID: str = ""
OSS_ACCESS_KEY_SECRET: str = ""
OSS_BUCKET_NAME: str = "xiaoxia-autocut"
@field_validator("OSS_ACCESS_KEY_ID", mode="before")
@classmethod
def validate_oss_access_key_id(cls, v):
if (v is None or v == "") and os.getenv("APP_ENV", "development") != "development":
raise ValueError(
"OSS_ACCESS_KEY_ID must be set via environment variable in non-development environments. "
"Check the server .env file (e.g. /var/lib/xiaoxia-saas-staging/.env)."
)
return v or ""
@field_validator("OSS_ACCESS_KEY_SECRET", mode="before")
@classmethod
def validate_oss_access_key_secret(cls, v):
if (v is None or v == "") and os.getenv("APP_ENV", "development") != "development":
raise ValueError(
"OSS_ACCESS_KEY_SECRET must be set via environment variable in non-development environments. "
"Check the server .env file (e.g. /var/lib/xiaoxia-saas-staging/.env)."
)
return v or ""
OSS_DIRECT_UPLOAD_MAX_MB: int = Field(
default=2000,
validation_alias=AliasChoices("OSS_DIRECT_UPLOAD_MAX_MB", "MAX_UPLOAD_SIZE_MB"),
)
OSS_DIRECT_UPLOAD_EXPIRE_SECONDS: int = 900
CORS_ORIGINS_RAW: str = "http://localhost:3000,http://localhost:5173,http://localhost:8000"
# 渲染引擎选择:legacy=旧VideoComposeServiceunified=新UnifiedRenderService
RENDER_ENGINE: str = "legacy"
# 豆包大模型配置(火山引擎方舟平台)
# 未配置 API Key 时自动降级为本地模拟生成
DOUBAO_API_KEY: str = ""
DOUBAO_MODEL: str = "doubao-seed-1-6-250615"
DOUBAO_BASE_URL: str = "https://ark.cn-beijing.volces.com/api/v3"
DOUBAO_TIMEOUT: int = 30
DOUBAO_MAX_RETRIES: int = 2
model_config = SettingsConfigDict(
env_file=".env",
env_file_encoding="utf-8",
case_sensitive=False,
extra="ignore",
)
@property
def CORS_ORIGINS(self) -> list[str]:
return [origin.strip() for origin in self.CORS_ORIGINS_RAW.split(",") if origin.strip()]
@property
def database_url(self) -> str:
return self.DATABASE_URL
@property
def redis_url(self) -> str:
return self.REDIS_URL
@property
def celery_broker_url(self) -> str:
return self.CELERY_BROKER_URL
@property
def celery_result_backend(self) -> str:
return self.CELERY_RESULT_BACKEND
@property
def oss_endpoint(self) -> str:
return self.OSS_ENDPOINT
@property
def oss_access_key_id(self) -> str:
return self.OSS_ACCESS_KEY_ID
@property
def oss_access_key_secret(self) -> str:
return self.OSS_ACCESS_KEY_SECRET
@property
def oss_bucket_name(self) -> str:
return self.OSS_BUCKET_NAME
_settings: Optional[Settings] = None
def get_settings() -> Settings:
global _settings
if _settings is None:
env = os.getenv("APP_ENV", "development")
env_file = f".env.{env}" if env != "development" else ".env"
if os.path.exists(env_file):
_settings = Settings(_env_file=env_file)
else:
_settings = Settings()
return _settings
# 模块级单例(向后兼容)
settings = get_settings()
# 暴露旧的 reload_settings 函数名
def reload_settings():
"""重新加载配置(测试用)。"""
reload_settings_cache()
global settings
settings = get_settings()
return settings
__all__ = ["Settings", "get_settings", "settings", "reload_settings"]
Executable → Regular
+9 -10
View File
@@ -1,20 +1,19 @@
"""向后兼容层 — 配置已统一到 packages.config。
"""Compatibility layer for the canonical API settings module.
新代码请使用:
from packages.config import get_api_settings, APISettings
Use `app.config` as the single source of truth for API configuration.
This module remains only for older imports during migration.
"""
from packages.config import APISettings as AppSettings
from packages.config import get_api_settings as get_settings
from packages.config import reload_settings_cache
from app.config import Settings as AppSettings
from app.config import get_settings, settings
def reload_settings() -> AppSettings:
"""重新加载配置(测试用)。"""
reload_settings_cache()
return get_settings()
"""Reload settings for tests and legacy callers."""
import app.config as canonical_config
canonical_config.settings = canonical_config.get_settings()
return canonical_config.settings
settings = get_settings()
__all__ = ["AppSettings", "get_settings", "reload_settings", "settings"]
-10
View File
@@ -22,9 +22,6 @@ from packages.adapters.sqlalchemy_impl.asset_repository import SQLAlchemyAssetRe
from packages.adapters.sqlalchemy_impl.classification_job_repository import (
SQLAlchemyClassificationJobRepository,
)
from packages.adapters.sqlalchemy_impl.cover_template_repository import (
SQLAlchemyCoverTemplateRepository,
)
from packages.adapters.sqlalchemy_impl.duplication_repository import (
SQLAlchemyDuplicationRecordRepository,
)
@@ -131,13 +128,6 @@ def get_project_repository(
return SQLAlchemyProjectRepository(session)
def get_cover_template_repository(
session: Session = Depends(get_db_session),
) -> SQLAlchemyCoverTemplateRepository:
"""Provide the SQLAlchemy cover template repository implementation."""
return SQLAlchemyCoverTemplateRepository(session)
def get_tag_repository(
session: Session = Depends(get_db_session),
) -> TagRepository:
+1 -34
View File
@@ -2,7 +2,7 @@ from pydantic import BaseModel, Field
class CreateAssetRequest(BaseModel):
project_id: str | None = Field(default=None, description="可选,不传时从 library.project_id 自动推导")
project_id: str = Field(..., min_length=1)
library_id: str = Field(..., min_length=1)
name: str = Field(..., min_length=1, max_length=100)
storage_key: str = Field(..., min_length=1, max_length=255)
@@ -58,12 +58,6 @@ class AssetResponse(BaseModel):
MAX_BATCH_SIZE = 200
class BatchGetRequest(BaseModel):
"""批量获取素材详情请求。"""
ids: list[str] = Field(..., min_length=1, max_length=MAX_BATCH_SIZE, description="素材 ID 列表")
class BatchDeleteRequest(BaseModel):
"""批量删除请求(软删除)。"""
@@ -107,30 +101,3 @@ class ListAssetsResponse(BaseModel):
total: int = Field(default=0, ge=0)
skip: int = Field(default=0, ge=0)
limit: int = Field(default=100, ge=1)
class SmartMatchRequest(BaseModel):
"""智能选素材请求。"""
library_id: str = Field(..., min_length=1, description="素材库 ID")
limit: int | None = Field(default=None, ge=1, le=200, description="最大返回数量,不传则返回全部匹配素材")
kind: str | None = Field(
default=None,
pattern="^(video|image|audio)$",
description="按文件类型过滤,不传则返回所有类型",
)
class SmartMatchItem(BaseModel):
"""智能选素材结果条目。"""
asset: AssetResponse
score: float = Field(..., ge=0, le=100, description="综合得分 0-100")
breakdown: dict[str, float] = Field(default_factory=dict, description="各维度得分明细")
class SmartMatchResponse(BaseModel):
"""智能选素材响应。"""
items: list[SmartMatchItem]
total_candidates: int = Field(default=0, ge=0, description="参与评分的候选素材总数")
-54
View File
@@ -1,54 +0,0 @@
"""封面模板 Schema。"""
from datetime import datetime
from typing import Any
from pydantic import BaseModel, Field
class CoverTemplateConfig(BaseModel):
"""封面模板配置。"""
background_enabled: bool = Field(default=True, description="是否启用背景")
background_color: str = Field(default="#000000", description="背景颜色")
portrait_enabled: bool = Field(default=True, description="是否显示人像")
title_text: str = Field(default="", description="主标题文字")
subtitle_text: str = Field(default="", description="副标题文字")
mask_enabled: bool = Field(default=False, description="是否启用蒙版")
class CreateCoverTemplateRequest(BaseModel):
"""创建封面模板请求。"""
name: str = Field(..., min_length=1, max_length=200, description="模板名称")
thumbnail_url: str = Field(default="", description="缩略图 URL")
config: CoverTemplateConfig | None = Field(default=None, description="模板配置")
class UpdateCoverTemplateRequest(BaseModel):
"""更新封面模板请求。"""
name: str | None = Field(default=None, min_length=1, max_length=200, description="模板名称")
thumbnail_url: str | None = Field(default=None, description="缩略图 URL")
config: CoverTemplateConfig | None = Field(default=None, description="模板配置")
class CoverTemplateResponse(BaseModel):
"""封面模板响应。"""
id: str
name: str
thumbnail_url: str
is_system: bool
created_at: datetime
config: dict[str, Any] = Field(default_factory=dict)
class Config:
from_attributes = True
class ListCoverTemplatesResponse(BaseModel):
"""封面模板列表响应。"""
items: list[CoverTemplateResponse]
total: int = Field(default=0, ge=0)
-105
View File
@@ -1,18 +1,8 @@
import json
from datetime import datetime
from pydantic import BaseModel, Field, field_validator, model_validator
class ConfirmGenerationRequest(BaseModel):
"""确认生成请求体 — 基于预览任务创建正式生成任务"""
output_width: int = Field(default=1080, ge=100, description="输出视频宽度")
output_height: int = Field(default=1920, ge=100, description="输出视频高度")
cover_url: str = Field(default="", description="自定义封面图片 URL")
custom_title: str = Field(default="", description="自定义视频标题")
class CreateGenerationTaskRequest(BaseModel):
"""创建生成任务请求。
@@ -61,18 +51,6 @@ class CreateGenerationTaskRequest(BaseModel):
default="",
description="输出分辨率,格式为 WIDTHxHEIGHT,如 1280x720、1080x1920。为空使用默认 1280x720",
)
# ── 自定义 BGM ──
bgm_config: dict = Field(
default_factory=dict,
description="自定义BGM配置,覆盖模板BGM设置。支持 enabled/source/asset_id/preset_id/audio_url/volume 等字段",
)
# ── 预览 / 确认生成 ──
is_preview: bool = Field(default=False, description="是否为预览任务")
source_task_id: str = Field(default="", description="来源预览任务 ID(确认生成时传入)")
output_width: int = Field(default=1280, description="输出视频宽度")
output_height: int = Field(default=720, description="输出视频高度")
cover_url: str = Field(default="", description="封面图片 URL")
custom_title: str = Field(default="", description="自定义视频标题")
@model_validator(mode="after")
def _check_at_least_one_mode(self) -> "CreateGenerationTaskRequest":
@@ -102,13 +80,6 @@ class GenerationTaskResponse(BaseModel):
batch_id: str = ""
video_title: str = ""
resolution: str = ""
bgm_config: dict = Field(default_factory=dict)
is_preview: bool = False
source_task_id: str = ""
output_width: int = 1280
output_height: int = 720
cover_url: str = ""
custom_title: str = ""
status: str
progress: float
result_count: int
@@ -145,79 +116,3 @@ class ListGenerationTasksResponse(BaseModel):
"""用户级生成任务列表响应(跨 project)。"""
items: list[GenerationTaskResponse]
# ── 预览生成(Phase 1) ───────────────────────────────────────────────────────
class CreatePreviewGenerationTaskRequest(BaseModel):
"""创建预览生成任务请求。
仅支持模板模式:template_id + asset_ids 等素材 ID 列表。
预览渲染品质与正式生成一致(1080p, CRF 23, medium preset)。
"""
template_id: str
asset_ids: list[str] = Field(default_factory=list)
title_ids: list[str] = Field(default_factory=list)
voice_ids: list[str] = Field(default_factory=list)
voice_library_id: str = Field(
default="", description="配音素材库ID(用户上传的音频或AI配音),对应配音选择页面选择的配音素材"
)
video_title: str = Field(default="", description="生成视频的标题/名称,为空则使用默认命名")
duration: float = Field(default=0.0, ge=0, description="期望视频时长(秒),0 表示由模板决定")
video_ratio: str = Field(default="", description="视频比例,如 16:9 / 9:16,为空使用模板默认")
bgm_config: dict = Field(
default_factory=dict,
description="自定义BGM配置,覆盖模板BGM设置。支持 enabled/source/asset_id/preset_id/audio_url/volume 等字段",
)
preview_count: int = Field(
default=1,
ge=1,
le=10,
description="预览视频生成数量,范围 1-10,默认 1",
)
source_edit_plan_id: str = Field(
default="",
description="关联的编辑计划ID(可选),用于确认生成时复用预览产物",
)
title_config: dict = Field(
default_factory=dict,
description="标题配置(可选),渲染时烧录到预览视频中。支持字段: text/font/font_size/font_color/position/bold/stroke/shadow",
)
@model_validator(mode="after")
def _check_template_id(self) -> "CreatePreviewGenerationTaskRequest":
if not self.template_id.strip():
raise ValueError("template_id 不能为空")
return self
@model_validator(mode="after")
def _check_asset_ids(self) -> "CreatePreviewGenerationTaskRequest":
if not self.asset_ids and not self.title_ids and not self.voice_ids:
raise ValueError("asset_ids/title_ids/voice_ids 至少需要提供一个")
return self
class PreviewGenerationTaskResponse(BaseModel):
"""预览生成任务响应。
包含任务状态、进度、分辨率、生成结果 URL 等关键字段。
"""
task_id: str
status: str
progress: float
is_preview: bool = True
resolution: str = ""
video_url: str = ""
duration: float = 0.0
file_size: int = 0
clip_count: int = 0
transition_count: int = 0
material_usage: dict = Field(default_factory=dict)
error_message: str = ""
created_at: datetime | None = None
started_at: datetime | None = None
finished_at: datetime | None = None
generate_duration: float = 0.0
-1
View File
@@ -39,7 +39,6 @@ class DirectUploadCompleteResponse(BaseModel):
ingest_job_id: str
duplicated: bool = Field(default=False, description="是否为重复素材(命中去重)")
asset_id: str = Field(default="", description="重复素材的 asset_idduplicated=true 时返回)")
url: str = Field(default="", description="Public URL of uploaded file")
class UploadAssetResponse(BaseModel):
-22
View File
@@ -63,25 +63,3 @@ class ListVoiceCloneResponse(BaseModel):
items: List[VoiceCloneProfileResponse]
total: int
class VoiceClonePreviewResponse(BaseModel):
"""克隆音色试听响应。"""
clone_id: str
"""音色克隆档案 ID"""
voice_id: str
"""CosyVoice 音色 ID"""
audio_url: str
"""试听音频 URL"""
text: str
"""试听文本"""
duration: float = 0.0
"""音频时长(秒)"""
file_size: int = 0
"""文件大小(字节)"""
+165 -166
View File
@@ -12,14 +12,14 @@
from __future__ import annotations
import json
import logging
import random
import time
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
from packages.domain.ai_parsing import parse_semantic_match_response as _parse_semantic_match_base
from packages.domain.ai_parsing import parse_titles_from_response as _parse_titles_from_response
from packages.shared.ai_client import get_doubao_client
import httpx
from app.config import get_settings
logger = logging.getLogger(__name__)
@@ -57,6 +57,85 @@ TITLE_STYLES = {
}
# ── 豆包 AI 客户端 ──────────────────────────────────────────────────────────
class DoubaoAIClient:
"""豆包大模型 API 客户端.
使用火山引擎方舟平台的 OpenAI 兼容接口。
未配置 API Key 时,is_available 返回 False,调用方应降级处理。
"""
def __init__(self) -> None:
settings = get_settings()
self.api_key: str = settings.DOUBAO_API_KEY
self.model: str = settings.DOUBAO_MODEL
self.base_url: str = settings.DOUBAO_BASE_URL.rstrip("/")
self.timeout: int = settings.DOUBAO_TIMEOUT
self.max_retries: int = settings.DOUBAO_MAX_RETRIES
@property
def is_available(self) -> bool:
"""是否可用(配置了 API Key."""
return bool(self.api_key)
def _chat_completion(
self,
messages: List[Dict[str, str]],
temperature: float = 0.7,
max_tokens: int = 1024,
) -> Optional[str]:
"""调用豆包 Chat Completion 接口.
Returns:
模型返回的文本内容,失败返回 None
"""
if not self.is_available:
return None
url = f"{self.base_url}/chat/completions"
headers = {
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json",
}
payload = {
"model": self.model,
"messages": messages,
"temperature": temperature,
"max_tokens": max_tokens,
}
last_error: Optional[Exception] = None
for attempt in range(self.max_retries + 1):
try:
response = httpx.post(
url,
headers=headers,
json=payload,
timeout=self.timeout,
)
response.raise_for_status()
data = response.json()
content = data["choices"][0]["message"]["content"]
return content.strip()
except Exception as e:
last_error = e
if attempt < self.max_retries:
wait = 0.5 * (2**attempt)
logger.warning(
"豆包API调用失败,%s秒后重试 (第%d/%d次): %s",
wait,
attempt + 1,
self.max_retries + 1,
e,
)
time.sleep(wait)
logger.error("豆包API调用最终失败: %s", last_error)
return None
# ── 智能标题生成 ─────────────────────────────────────────────────────────────
@@ -65,9 +144,85 @@ def _generate_titles_fallback(
style: str = "viral",
count: int = 5,
) -> 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)."""
"""本地降级:基于模板规则生成标题.
当豆包 API 不可用或调用失败时使用,保证接口始终有返回。
"""
style_info = TITLE_STYLES.get(style, TITLE_STYLES["viral"])
return _generate_titles_fallback_base(description, style_info, count)
examples = style_info["examples"]
# 从描述中提取关键词(取前几个词)
keywords = [w for w in description.strip().split() if len(w) > 1][:3]
keyword = keywords[0] if keywords else "精彩内容"
# 基于模板生成
templates = [
f"{keyword}{examples[0][:10]}...",
f"{keyword}{examples[1]}",
f"关于{keyword},你不知道的3件事",
f"{keyword}入门指南,新手必看",
f"深度解析:{keyword}背后的秘密",
f"{keyword}怎么做?手把手教你",
f"干货分享 | {keyword}全攻略",
f"建议收藏:{keyword}实用技巧",
f"{keyword}避坑指南,别再踩雷了",
f"一分钟搞懂{keyword}",
]
random.shuffle(templates)
return templates[: min(count, len(templates))]
def _parse_titles_from_response(content: str) -> List[str]:
"""从模型返回中解析标题列表.
支持多种返回格式:
- JSON 数组: ["标题1", "标题2"]
- 编号列表: 1. 标题1 / 2. 标题2
- 换行分隔: 标题1\n标题2
- 带破折号: - 标题1
"""
if not content:
return []
# 尝试解析 JSON
try:
# 清理可能的 markdown 代码块标记
cleaned = content.strip()
if cleaned.startswith("```"):
cleaned = cleaned.strip("`")
if cleaned.lower().startswith("json"):
cleaned = cleaned[4:]
cleaned = cleaned.strip()
data = json.loads(cleaned)
if isinstance(data, list):
return [str(item).strip() for item in data if str(item).strip()]
if isinstance(data, dict) and "titles" in data:
titles = data["titles"]
if isinstance(titles, list):
return [str(t).strip() for t in titles if str(t).strip()]
except (json.JSONDecodeError, ValueError):
pass
# 尝试按行解析
titles: List[str] = []
for line in content.strip().split("\n"):
line = line.strip()
if not line:
continue
# 去掉编号前缀 "1. " "1、" "1"
import re
line = re.sub(r"^[\d]+[\.、\)]\s*", "", line)
# 去掉破折号前缀 "- " "• "
line = re.sub(r"^[-•·]\s*", "", line)
# 去掉引号
line = line.strip('"').strip("'").strip("「」")
if line and len(line) < 100: # 过滤过长的行
titles.append(line)
return titles
def generate_smart_titles(
@@ -96,7 +251,7 @@ def generate_smart_titles(
count = max(3, min(10, count)) # 3-10 个
description = (description or "").strip()
client = get_doubao_client()
client = DoubaoAIClient()
if not client.is_available:
logger.info("豆包API未配置,使用本地降级生成标题")
titles = _generate_titles_fallback(description, style, count)
@@ -125,7 +280,7 @@ def generate_smart_titles(
{"role": "user", "content": user_prompt},
]
result = client.chat_completion(
result = client._chat_completion(
messages=messages,
temperature=0.8,
max_tokens=512,
@@ -159,154 +314,6 @@ def generate_smart_titles(
}
# ── 智能素材语义匹配 ───────────────────────────────────────────────────────────
def _semantic_match_fallback(
description: str,
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]]:
"""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:
return None
return dict(result)
def semantic_match_assets(
description: str,
assets: List[Dict[str, Any]],
top_k: int = 0,
) -> 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。
Args:
description: 用户描述的目标视频内容
assets: 素材列表,每个素材需含 id/name/tags/description 等字段
top_k: 返回前K个,0表示返回全部
Returns:
{
"matches": [{"asset_id": ..., "match_score": ..., ...}],
"source": "doubao" | "fallback",
"description": "...",
"total": 总数,
}
"""
description = (description or "").strip()
if not assets:
return {"matches": [], "source": "fallback", "description": description, "total": 0}
client = get_doubao_client()
if not client.is_available:
logger.info("豆包API未配置,使用本地降级做素材语义匹配")
matched = _semantic_match_fallback(description, assets)
if top_k > 0:
matched = matched[:top_k]
return {
"matches": matched,
"source": "fallback",
"description": description,
"total": len(assets),
}
# 构建素材信息(控制 token 数量)
asset_summaries = []
for asset in assets[:50]: # 最多传50个素材给模型
aid = asset.get("id", "")
name = asset.get("name", "")[:50]
tags = asset.get("tags", [])
tags_str = ",".join(str(t) for t in tags[:5])
desc = str(asset.get("description", ""))[:80]
asset_summaries.append(f"ID:{aid} | 名称:{name} | 标签:[{tags_str}] | 描述:{desc}")
asset_ids = [str(a.get("id", "")) for a in assets[:50]]
system_prompt = (
"你是一个专业的视频素材匹配助手。"
"根据用户的视频目标描述,评估每个素材的匹配程度。\n"
"评分规则:\n"
"- 0.0-0.3: 完全不相关\n"
"- 0.3-0.6: 有一定关联但不够匹配\n"
"- 0.6-0.8: 比较匹配,适合使用\n"
"- 0.8-1.0: 高度匹配,非常适合\n"
"只返回JSON对象,key为素材ID,value为匹配分数(0-1之间的小数)。"
"不要其他文字说明。"
)
user_prompt = (
f"目标视频描述:{description}\n\n"
f"素材列表:\n" + "\n".join(asset_summaries) + "\n\n请返回每个素材的匹配分数JSON"
)
messages = [
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_prompt},
]
result = client.chat_completion(
messages=messages,
temperature=0.3,
max_tokens=1024,
)
if result:
scores = _parse_semantic_match_response(result, asset_ids)
if scores:
# 把评分填回素材
matched = []
for asset in assets:
aid = str(asset.get("id", ""))
score = scores.get(aid, 0.3) # 没评分的给默认偏低分
matched.append(
{
**asset,
"match_score": round(score, 3),
"match_reason": "doubao_semantic",
}
)
matched.sort(key=lambda x: x["match_score"], reverse=True)
logger.info(
"豆包语义匹配完成: assets=%d top_score=%.2f description=%s...",
len(matched),
matched[0]["match_score"] if matched else 0,
description[:20],
)
if top_k > 0:
matched = matched[:top_k]
return {
"matches": matched,
"source": "doubao",
"description": description,
"total": len(assets),
}
logger.warning("豆包语义匹配返回解析失败,降级到本地: %s", result[:100])
# 降级
matched = _semantic_match_fallback(description, assets)
if top_k > 0:
matched = matched[:top_k]
return {
"matches": matched,
"source": "fallback",
"description": description,
"total": len(assets),
}
# ── 单例入口 ─────────────────────────────────────────────────────────────────
@@ -325,7 +332,7 @@ class AIService:
"""AI 服务统一入口,便于后续扩展更多能力."""
def __init__(self) -> None:
self._client = get_doubao_client()
self._client = DoubaoAIClient()
@property
def is_available(self) -> bool:
@@ -338,11 +345,3 @@ class AIService:
count: int = 5,
) -> Dict[str, Any]:
return generate_smart_titles(description, style, count)
def semantic_match(
self,
description: str,
assets: List[Dict[str, Any]],
top_k: int = 0,
) -> Dict[str, Any]:
return semantic_match_assets(description, assets, top_k)
+276
View File
@@ -0,0 +1,276 @@
"""封面管理服务.
提供封面配置管理和从视频抽帧生成封面的能力。
抽帧使用 FFmpeg,上传使用共享存储服务。
"""
from __future__ import annotations
import logging
import tempfile
from pathlib import Path
from typing import Any, Dict
logger = logging.getLogger(__name__)
# ── 常量 ──────────────────────────────────────────────────────────────────────
DEFAULT_COVER_WIDTH = 1080
DEFAULT_COVER_HEIGHT = 1920
DEFAULT_COVER_QUALITY = 5 # JPEG quality (1-31, 越小越好)
COVER_STORAGE_PREFIX = "covers"
class CoverService:
"""封面管理服务."""
def __init__(self, storage_service: Any, asset_repository: Any) -> None:
self._storage = storage_service
self._asset_repo = asset_repository
# ── 配置读写 ──────────────────────────────────────────────────────────
@staticmethod
def get_cover_config(plan_config: Dict[str, Any]) -> Dict[str, Any]:
"""从 plan.config 中提取封面配置.
Args:
plan_config: 剪辑计划的 config 字段
Returns:
封面配置 dict
"""
cover = plan_config.get("cover", {})
if not isinstance(cover, dict):
cover = {}
# 确保默认字段存在
return {
"type": cover.get("type", "ai_frame"),
"image_url": cover.get("image_url", ""),
"frame_time": cover.get("frame_time"),
}
# ── 抽帧生成封面 ──────────────────────────────────────────────────────
def extract_cover_from_clip(
self,
plan_id: str,
asset_id: str,
frame_time: float = 1.0,
*,
width: int = DEFAULT_COVER_WIDTH,
height: int = DEFAULT_COVER_HEIGHT,
quality: int = DEFAULT_COVER_QUALITY,
) -> Dict[str, Any]:
"""从指定素材的指定时间点抽取一帧作为封面.
Args:
plan_id: 剪辑计划 ID(用于生成存储路径)
asset_id: 素材 ID
frame_time: 抽帧时间点(秒)
width: 输出宽度
height: 输出高度
quality: JPEG 质量
Returns:
封面数据 dict,包含 type / image_url / frame_time
Raises:
ValueError: 素材不存在或不是视频
RuntimeError: 抽帧或上传失败
"""
# 1. 获取素材
asset = self._asset_repo.get(asset_id) if self._asset_repo else None
if not asset:
raise ValueError(f"素材不存在: {asset_id}")
storage_key = getattr(asset, "storage_key", "")
if not storage_key:
raise ValueError(f"素材没有文件: {asset_id}")
mime_type = getattr(asset, "mime_type", "")
if mime_type and not mime_type.startswith("video"):
raise ValueError(f"素材不是视频类型: {mime_type}")
# 2. 下载视频到临时目录
with tempfile.TemporaryDirectory(prefix="cover_extract_") as tmp_dir:
tmp_path = Path(tmp_dir)
video_path = tmp_path / f"source_{asset_id[:8]}"
logger.info("下载素材用于封面抽帧: asset_id=%s", asset_id)
try:
self._storage.download_file(storage_key, str(video_path))
except Exception as e:
raise RuntimeError(f"下载素材失败: {e}") from e
if not video_path.exists() or video_path.stat().st_size == 0:
raise RuntimeError("下载的素材文件为空")
# 3. FFmpeg 抽帧
output_path = tmp_path / "cover.jpg"
self._extract_frame(
video_path=video_path,
output_path=output_path,
time_sec=frame_time,
width=width,
height=height,
quality=quality,
)
if not output_path.exists() or output_path.stat().st_size == 0:
raise RuntimeError("封面抽帧失败")
# 4. 上传到 OSS
cover_key = f"{COVER_STORAGE_PREFIX}/{plan_id}/cover_{int(frame_time * 1000)}.jpg"
logger.info("上传封面到存储: key=%s", cover_key)
try:
self._storage.upload_file(
file_or_path=str(output_path),
storage_key=cover_key,
content_type="image/jpeg",
)
except Exception as e:
raise RuntimeError(f"上传封面失败: {e}") from e
# 5. 获取访问 URL
try:
image_url = self._storage.get_url(cover_key)
except Exception:
image_url = cover_key # 降级为 storage_key
logger.info(
"封面抽帧完成: plan_id=%s asset_id=%s time=%.2fs size=%d",
plan_id,
asset_id,
frame_time,
output_path.stat().st_size if output_path.exists() else 0,
)
return {
"type": "manual",
"image_url": image_url,
"frame_time": frame_time,
}
def generate_smart_cover(
self,
plan_id: str,
asset_id: str,
*,
width: int = DEFAULT_COVER_WIDTH,
height: int = DEFAULT_COVER_HEIGHT,
quality: int = DEFAULT_COVER_QUALITY,
) -> Dict[str, Any]:
"""智能选帧:从视频中选取多帧,选最清晰的一帧.
Args:
plan_id: 剪辑计划 ID
asset_id: 素材 ID
width: 输出宽度
height: 输出高度
quality: JPEG 质量
Returns:
封面数据 dict
"""
# 简单实现:取视频 1/3 处的帧作为智能封面
# 更复杂的多帧选清晰帧可以后续优化
frame_time = 3.0 # 默认第3秒,后续可以根据视频时长动态计算
result = self.extract_cover_from_clip(
plan_id=plan_id,
asset_id=asset_id,
frame_time=frame_time,
width=width,
height=height,
quality=quality,
)
result["type"] = "ai_frame"
return result
# ── 内部方法 ──────────────────────────────────────────────────────────
@staticmethod
def _extract_frame(
video_path: Path,
output_path: Path,
*,
time_sec: float,
width: int,
height: int,
quality: int,
) -> None:
"""使用 FFmpeg 从视频中抽取一帧.
Args:
video_path: 视频文件路径
output_path: 输出图片路径
time_sec: 抽帧时间点(秒)
width: 输出宽度
height: 输出高度
quality: JPEG 质量
"""
import subprocess
# scale + crop 实现 cover 裁剪
vf = f"scale={width}:{height}:force_original_aspect_ratio=increase," f"crop={width}:{height}"
command = [
"ffmpeg",
"-y",
"-ss",
f"{time_sec:.3f}",
"-i",
str(video_path),
"-vframes",
"1",
"-vf",
vf,
"-q:v",
str(quality),
"-f",
"mjpeg",
str(output_path),
]
logger.debug("FFmpeg 抽帧命令: %s", " ".join(command))
try:
result = subprocess.run(
command,
capture_output=True,
text=True,
timeout=60,
)
if result.returncode != 0:
logger.warning("FFmpeg 抽帧返回非零: %s\nstderr: %s", result.returncode, result.stderr[-500:])
# 尝试不使用 scale+crop 的简化命令
simple_command = [
"ffmpeg",
"-y",
"-ss",
f"{time_sec:.3f}",
"-i",
str(video_path),
"-vframes",
"1",
"-q:v",
str(quality),
"-f",
"mjpeg",
str(output_path),
]
result2 = subprocess.run(
simple_command,
capture_output=True,
text=True,
timeout=60,
)
if result2.returncode != 0:
raise RuntimeError(f"FFmpeg 抽帧失败: {result2.stderr[-300:]}")
except subprocess.TimeoutExpired as e:
raise RuntimeError("FFmpeg 抽帧超时") from e
except FileNotFoundError as e:
raise RuntimeError("FFmpeg 不可用") from e
+68 -126
View File
@@ -16,11 +16,6 @@ from packages.adapters.sqlalchemy_impl import (
SQLAlchemyEditPlanRepository,
SQLAlchemyGenerationTaskRepository,
)
from packages.domain.clip_operations import calculate_merge as _calc_merge
from packages.domain.clip_operations import calculate_shift_orders as _calc_shift_orders
from packages.domain.clip_operations import calculate_split as _calc_split
from packages.domain.clip_operations import validate_merge_clips as _validate_merge
from packages.domain.clip_operations import validate_split_time as _validate_split
from packages.domain.edit_plan import EditPlan, EditPlanStatus
from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus
@@ -389,45 +384,36 @@ class EditPlanService:
clip = self.get_clip_or_raise(clip_id)
plan_id = clip.plan_id
# 纯逻辑:校验 + 计算
_validate_split(split_time, clip.duration)
split = _calc_split(
duration=clip.duration,
split_time=split_time,
start_time=clip.start_time,
)
if split_time <= 0 or split_time >= clip.duration:
raise ValueError(f"分割时间必须在 (0, {clip.duration:.3f}) 范围内,当前: {split_time}")
self._auto_resume_editing(plan_id)
original_duration = clip.duration
left_duration = round(split_time, 3)
right_duration = round(original_duration - split_time, 3)
original_order = clip.order
# 更新左半部分(原片段)
clip.duration = split.left_duration
clip.duration = left_duration
left_clip = self._clip_repo.update(clip)
# 后面片段的 order 全部 +1(给右半部分腾位置)
all_clips = self._clip_repo.list_by_plan(plan_id)
shifts = _calc_shift_orders(
all_clips,
threshold_order=original_order,
shift=1,
excluded_ids={clip_id},
id_attr="id",
order_attr="order",
)
for c, new_order in shifts:
c.order = new_order
self._clip_repo.update(c)
for c in all_clips:
if c.order > original_order and c.id != clip_id:
c.order += 1
self._clip_repo.update(c)
# 创建右半部分新片段(继承原片段的大部分属性)
right_config = dict(clip.config) if clip.config else {}
# 素材裁剪信息
if clip.asset_id:
# 右半部分从 split_time 开始播放
right_config["trim_start"] = split.right_trim_start
right_config["trim_start"] = left_duration
# 左半部分在 split_time 处结束
left_config = dict(left_clip.config) if left_clip.config else {}
left_config["trim_end"] = split.left_trim_end
left_config["trim_end"] = right_duration
left_clip.config = left_config
left_clip = self._clip_repo.update(left_clip)
@@ -438,8 +424,8 @@ class EditPlanService:
template_clip_config_id=clip.template_clip_config_id,
asset_id=clip.asset_id,
text_content=clip.text_content,
start_time=split.right_start_time,
duration=split.right_duration,
start_time=clip.start_time + left_duration,
duration=right_duration,
transition_effect=clip.transition_effect,
transition_duration=clip.transition_duration,
playback_speed=clip.playback_speed,
@@ -452,8 +438,8 @@ class EditPlanService:
clip_id,
plan_id,
split_time,
split.left_duration,
split.right_duration,
left_duration,
right_duration,
)
return {
@@ -482,45 +468,70 @@ class EditPlanService:
clip = self.get_clip_or_raise(cid)
clips.append(clip)
# 纯逻辑:校验 + 计算
plan_id, first_order = _validate_merge(clips)
merge = _calc_merge(clips)
# 校验:同一计划
plan_id = clips[0].plan_id
for c in clips[1:]:
if c.plan_id != plan_id:
raise ValueError("只能合并同一计划下的片段")
# 按 order 排序
clips.sort(key=lambda c: c.order)
# 校验:order 连续
for i in range(1, len(clips)):
if clips[i].order != clips[i - 1].order + 1:
raise ValueError(f"片段不连续:order {clips[i-1].order}{clips[i].order}")
# 校验:类型一致
clip_type = clips[0].clip_type
for c in clips[1:]:
if c.clip_type != clip_type:
raise ValueError("只能合并相同类型的片段")
self._auto_resume_editing(plan_id)
# 计算合并后的属性
first_clip = clips[0]
total_duration = round(sum(c.duration for c in clips), 3)
first_order = first_clip.order
# 合并文案(用换行连接)
merged_text = "\n".join(c.text_content for c in clips if c.text_content.strip())
# 合并 config(后面的覆盖前面的)
merged_config: Dict[str, Any] = {}
for c in clips:
if c.config:
merged_config.update(c.config)
# 清理 trim 相关字段(合并后就是完整片段了)
merged_config.pop("trim_start", None)
merged_config.pop("trim_end", None)
# 更新第一个片段(保留它作为合并结果)
first_clip = sorted(clips, key=lambda c: c.order)[0]
first_clip.duration = merge.total_duration
first_clip.text_content = merge.merged_text
first_clip.config = merge.merged_config
first_clip.duration = total_duration
first_clip.text_content = merged_text
first_clip.config = merged_config
# 转场保留第一个的(合并后的入点转场)
# playback_speed 取第一个的
merged_clip = self._clip_repo.update(first_clip)
# 删除其余片段
rest_ids = [c.id for c in clips if c.id != merged_clip.id]
for cid in rest_ids:
self._clip_repo.delete(cid)
for c in clips[1:]:
self._clip_repo.delete(c.id)
# 后面的片段 order 前移 (len - 1) 位
shift = len(clips) - 1
all_clips = self._clip_repo.list_by_plan(plan_id)
shifts = _calc_shift_orders(
all_clips,
threshold_order=first_order,
shift=-merge.shift_amount,
excluded_ids={merged_clip.id},
id_attr="id",
order_attr="order",
)
for c, new_order in shifts:
c.order = new_order
self._clip_repo.update(c)
for c in all_clips:
if c.order > first_order and c.id != merged_clip.id:
c.order -= shift
self._clip_repo.update(c)
logger.info(
"合并片段: plan_id=%s count=%d total_duration=%.3fs",
plan_id,
len(clips),
merge.total_duration,
total_duration,
)
return merged_clip
@@ -571,10 +582,6 @@ class EditPlanService:
def can_generate(self, plan_id: str) -> tuple[bool, str]:
"""检查是否可以触发渲染
包含最后一道防线的自动修复:
- 如果 clips 存在但都没有 asset_id,且 config.asset_ids 非空,
直接在内部执行素材分配,不再依赖前置 fallback 链路。
Returns:
tuple: (can_generate, reason)
"""
@@ -589,69 +596,10 @@ class EditPlanService:
if not clips:
return False, "请先添加片段后再生成视频"
# 检查是否至少有一个片段分配了素材
has_asset = any(c.asset_id for c in clips)
config_asset_ids_count = len((plan.config or {}).get("asset_ids", []))
clips_with_asset_count = sum(1 for c in clips if c.asset_id)
logger.info(
"can_generate 诊断: plan=%s status=%s total_clips=%d " "clips_with_asset=%d config_asset_ids_count=%d",
plan_id,
plan.status,
len(clips),
clips_with_asset_count,
config_asset_ids_count,
)
if not has_asset:
# ── 最后防线:自动从 config.asset_ids 分配素材 ──
config_asset_ids = (plan.config or {}).get("asset_ids", [])
if config_asset_ids:
logger.warning(
"can_generate 最后防线触发: plan=%s clips=%d 均无素材," "从 config.asset_ids(%d个) 自动分配",
plan_id,
len(clips),
len(config_asset_ids),
)
clips_without_asset = [c for c in clips if not c.asset_id]
assigned_count = 0
for i, clip in enumerate(clips_without_asset):
asset_idx = i % len(config_asset_ids)
try:
self.assign_asset(clip.id, config_asset_ids[asset_idx])
assigned_count += 1
except Exception as exc:
logger.warning(
"can_generate 最后防线: plan=%s clip=%s 分配素材 %s 失败: %s",
plan_id,
clip.id,
config_asset_ids[asset_idx],
exc,
)
logger.info(
"can_generate 最后防线: plan=%s 已为 %d/%d 个片段分配素材",
plan_id,
assigned_count,
len(clips_without_asset),
)
# 重新加载 clips 验证分配结果
clips = self._clip_repo.list_by_plan(plan_id)
if not any(c.asset_id for c in clips):
return False, "没有可渲染的就绪片段,自动修复后仍未分配素材"
else:
logger.warning(
"can_generate 失败: plan=%s clips=%d 均无素材," "且 config.asset_ids 为空,无法自动修复",
plan_id,
len(clips),
)
return False, "没有可渲染的就绪片段,请确保已选择素材"
return True, ""
def mark_clips_ready(self, plan_id: str) -> int:
"""已分配素材的 pending 片段标记为 ready
只标记同时满足以下条件的片段:
- status == PENDING
- asset_id 非空(已分配素材)
"""所有 pending 状态的片段标记为 ready
Returns:
int: 标记的片段数量
@@ -662,16 +610,10 @@ class EditPlanService:
)
count = 0
for clip in clips:
if clip.asset_id:
clip.mark_ready()
self._clip_repo.update(clip)
count += 1
logger.info(
"标记片段就绪: plan_id=%s marked=%d total_pending=%d",
plan_id,
count,
len(clips),
)
clip.mark_ready()
self._clip_repo.update(clip)
count += 1
logger.info("标记片段就绪: plan_id=%s count=%d", plan_id, count)
return count
def update_plan_config(self, plan_id: str, config_updates: Dict[str, Any]) -> EditPlan:
+161 -15
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@@ -23,13 +23,6 @@ from packages.domain.template_clip_config import (
TemplateClipConfig,
TransitionEffect,
)
from packages.domain.template_clip_converter import (
clip_configs_to_snapshots,
clips_to_template_clip_configs,
filter_plan_config_to_template,
snapshots_to_template_clip_configs,
validate_template_name,
)
logger = logging.getLogger(__name__)
@@ -128,7 +121,9 @@ class EditTemplateService:
ValueError: 名称为空或重复
"""
# 名称校验
clean_name = validate_template_name(name)
clean_name = name.strip()
if not clean_name:
raise ValueError("模板名称不能为空")
# 名称重复检查
existing = self._template_repo.list_all(skip=0, limit=1000)
@@ -476,7 +471,12 @@ class EditTemplateService:
raise ValueError(f"模板名称已存在: {clean_name}")
# 从计划 config 中提取模板级配置,去掉运行时/素材相关字段
template_config = filter_plan_config_to_template(plan.config)
plan_config = plan.config or {}
template_config: dict[str, Any] = {}
for key, value in plan_config.items():
# 跳过明显的运行时/实例字段,保留风格/模式类配置
if key not in {"asset_ids", "source_edit_plan_id", "generation_task_id"}:
template_config[key] = value
template = EditTemplate.create(
name=clean_name,
@@ -497,7 +497,40 @@ class EditTemplateService:
# 5. 转换每个片段为模板片段配置
created_configs: List[TemplateClipConfig] = []
for clip_config_obj in clips_to_template_clip_configs(created_template.id, clips):
for clip in clips:
clip_config: dict[str, Any] = {}
# 播放速度存入 config
if clip.playback_speed and clip.playback_speed != 1.0:
clip_config["playback_speed"] = clip.playback_speed
# 片段自有 config 合并(优先级:clip.config 覆盖上面的)
if clip.config:
clip_config.update(clip.config)
# 去掉素材相关字段
clip_config.pop("asset_info", None)
clip_config.pop("source_asset_id", None)
# 转场效果兼容校验
try:
transition = TransitionEffect(clip.transition_effect)
except ValueError:
transition = TransitionEffect.CUT
# 片段类型兼容校验
try:
clip_type = ClipType(clip.clip_type)
except ValueError:
clip_type = ClipType.MAIN
clip_config_obj = TemplateClipConfig.create(
template_id=created_template.id,
clip_type=clip_type,
order=clip.order,
min_duration=clip.duration,
max_duration=clip.duration,
text_template=clip.text_content or "",
transition_effect=transition,
config=clip_config,
)
created = self._clip_config_repo.create(clip_config_obj)
created_configs.append(created)
@@ -646,6 +679,8 @@ class EditTemplateService:
Raises:
ValueError: 模板/草稿不存在,或草稿不属于该模板
"""
from packages.domain.template_clip_config import TemplateClipConfig
# 1. 校验模板和草稿
template = self.get_template_or_raise(template_id)
draft = self._plan_repo.get(draft_plan_id)
@@ -665,14 +700,39 @@ class EditTemplateService:
editing_mode = config.get("editing_mode", "one_take")
# 4. 提取模板配置(去掉草稿/运行时字段)
template_config = filter_plan_config_to_template(draft.config)
draft_config = draft.config or {}
template_config: dict[str, Any] = {}
skip_keys = {
"is_template_draft",
"asset_ids",
"source_edit_plan_id",
"generation_task_id",
}
for key, value in draft_config.items():
if key not in skip_keys:
template_config[key] = value
# 5. 事务更新
try:
# 5.0 先保存旧版快照(发布前的状态),用于回滚
old_version = template.version or 1
old_clip_configs = self._clip_config_repo.list_by_template(template_id)
old_clip_snapshots = clip_configs_to_snapshots(old_clip_configs)
old_clip_snapshots = [
{
"clip_type": cfg.clip_type.value if hasattr(cfg.clip_type, "value") else cfg.clip_type,
"order": cfg.order,
"min_duration": cfg.min_duration,
"max_duration": cfg.max_duration,
"text_template": cfg.text_template or "",
"transition_effect": (
cfg.transition_effect.value
if hasattr(cfg.transition_effect, "value")
else cfg.transition_effect
),
"config": cfg.config or {},
}
for cfg in old_clip_configs
]
from packages.domain.template_version import EditTemplateVersion
@@ -699,7 +759,46 @@ class EditTemplateService:
# 创建新的片段配置
created_configs: list[TemplateClipConfig] = []
for config_obj in clips_to_template_clip_configs(template_id, draft_clips):
for clip in draft_clips:
clip_config: dict[str, Any] = {}
# 播放速度存入 config
if clip.playback_speed and clip.playback_speed != 1.0:
clip_config["playback_speed"] = clip.playback_speed
# 片段自有 config 合并
if clip.config:
clip_config.update(clip.config)
# 去掉素材相关字段
clip_config.pop("asset_info", None)
clip_config.pop("source_asset_id", None)
# 转场效果兼容校验
try:
from packages.domain.template_clip_config import (
TransitionEffect,
)
transition = TransitionEffect(clip.transition_effect)
except (ValueError, ImportError):
transition = TransitionEffect.CUT # type: ignore
# 片段类型兼容校验
try:
from packages.domain.template_clip_config import ClipType
clip_type = ClipType(clip.clip_type)
except (ValueError, ImportError):
clip_type = ClipType.MAIN # type: ignore
config_obj = TemplateClipConfig.create(
template_id=template_id,
clip_type=clip_type,
order=clip.order,
min_duration=clip.duration,
max_duration=clip.duration,
text_template=clip.text_content or "",
transition_effect=transition,
config=clip_config,
)
created = self._clip_config_repo.create(config_obj)
created_configs.append(created)
@@ -744,6 +843,8 @@ class EditTemplateService:
Raises:
ValueError: 模板/版本不存在
"""
from packages.domain.template_clip_config import TemplateClipConfig
template = self.get_template_or_raise(template_id)
# 1. 读取目标版本快照
@@ -756,7 +857,22 @@ class EditTemplateService:
try:
# 2. 先保存当前状态快照(当前版本号),确保回滚可撤销
old_clip_configs = self._clip_config_repo.list_by_template(template_id)
old_clip_snapshots = clip_configs_to_snapshots(old_clip_configs)
old_clip_snapshots = [
{
"clip_type": cfg.clip_type.value if hasattr(cfg.clip_type, "value") else cfg.clip_type,
"order": cfg.order,
"min_duration": cfg.min_duration,
"max_duration": cfg.max_duration,
"text_template": cfg.text_template or "",
"transition_effect": (
cfg.transition_effect.value
if hasattr(cfg.transition_effect, "value")
else cfg.transition_effect
),
"config": cfg.config or {},
}
for cfg in old_clip_configs
]
from packages.domain.template_version import EditTemplateVersion
@@ -789,7 +905,37 @@ class EditTemplateService:
synchronize_session=False
)
for config_obj in snapshots_to_template_clip_configs(template_id, target_version.clip_configs):
for clip_snap in target_version.clip_configs:
# 转场效果兼容校验
try:
from packages.domain.template_clip_config import TransitionEffect
transition = TransitionEffect(clip_snap.get("transition_effect", "cut"))
except (ValueError, ImportError):
from packages.domain.template_clip_config import TransitionEffect
transition = TransitionEffect.CUT
# 片段类型兼容校验
try:
from packages.domain.template_clip_config import ClipType
clip_type = ClipType(clip_snap.get("clip_type", "main"))
except (ValueError, ImportError):
from packages.domain.template_clip_config import ClipType
clip_type = ClipType.MAIN
config_obj = TemplateClipConfig.create(
template_id=template_id,
clip_type=clip_type,
order=clip_snap.get("order", 0),
min_duration=clip_snap.get("min_duration", 0.0),
max_duration=clip_snap.get("max_duration", 0.0),
text_template=clip_snap.get("text_template", ""),
transition_effect=transition,
config=clip_snap.get("config", {}) or {},
)
self._clip_config_repo.create(config_obj)
self._db.commit()
+249 -57
View File
@@ -26,13 +26,7 @@ from packages.domain.edit_plan import EditPlan
from packages.domain.edit_plan_clip import EditPlanClip
from packages.domain.edit_template import EditTemplate
from packages.domain.editing_mode import EditingMode
from packages.domain.plan_generator_utils import (
create_clips_from_configs,
distribute_assets,
generate_default_clips,
map_clip_types_for_mode,
)
from packages.domain.template_clip_config import TemplateClipConfig
from packages.domain.template_clip_config import ClipType, TemplateClipConfig
logger = logging.getLogger(__name__)
@@ -49,10 +43,9 @@ class PlanGeneratorService:
基于模板 + 素材,自动生成 EditPlan 及 EditPlanClip 列表。
"""
def __init__(self, db: Session, asset_repo=None) -> None:
def __init__(self, db: Session) -> None:
self._plan_repo = SQLAlchemyEditPlanRepository(db)
self._clip_repo = SQLAlchemyEditPlanClipRepository(db)
self._asset_repo = asset_repo
# ── 公开接口 ─────────────────────────────────────────────────────────────
@@ -65,7 +58,6 @@ class PlanGeneratorService:
project_id: str = "",
created_by_user_id: str = "",
name: str = "",
random_preview: bool = False,
) -> dict[str, Any]:
"""基于模板+素材生成剪辑计划
@@ -76,7 +68,6 @@ class PlanGeneratorService:
project_id: 所属项目 ID
created_by_user_id: 创建者用户 ID
name: 计划名称(为空则自动取模板名)
random_preview: 是否启用随机预览模式(随机选素材+随机截取片段)
Returns:
dict: {"plan": EditPlan, "clips": List[EditPlanClip]}
@@ -118,17 +109,7 @@ class PlanGeneratorService:
# 4. 按 editing_mode 分配素材
if asset_ids:
# 如果是随机预览模式,获取素材时长信息
asset_durations = None
if random_preview and self._asset_repo:
asset_durations = self._fetch_asset_durations(asset_ids)
self._distribute_assets(
clips,
asset_ids,
editing_mode,
random_selection=random_preview,
asset_durations=asset_durations,
)
self._distribute_assets(clips, asset_ids, editing_mode)
# 5. 持久化所有 clips 并计算总时长
created_clips: List[EditPlanClip] = []
@@ -182,18 +163,83 @@ class PlanGeneratorService:
plan_id: str,
clip_configs: List[TemplateClipConfig],
) -> List[EditPlanClip]:
"""从 TemplateClipConfig 列表创建 EditPlanClip 列表(未持久化).
"""从 TemplateClipConfig 列表创建 EditPlanClip 列表(未持久化)"""
clips: List[EditPlanClip] = []
# 按 order 排序
sorted_configs = sorted(clip_configs, key=lambda c: c.order)
委托给 plan_generator_utils.create_clips_from_configs 纯函数。
"""
return create_clips_from_configs(plan_id, clip_configs)
for cfg in sorted_configs:
# 计算时长:取 min_duration 和 max_duration 的中间值
if cfg.min_duration > 0 and cfg.max_duration > 0:
duration = (cfg.min_duration + cfg.max_duration) / 2
elif cfg.min_duration > 0:
duration = cfg.min_duration
elif cfg.max_duration > 0:
duration = cfg.max_duration
else:
duration = _DEFAULT_CLIP_DURATION
# clip_type 可能是枚举或字符串
clip_type = cfg.clip_type.value if hasattr(cfg.clip_type, "value") else cfg.clip_type
# transition_effect 可能是枚举或字符串
transition = (
cfg.transition_effect.value if hasattr(cfg.transition_effect, "value") else cfg.transition_effect
)
# 从 clip config 中解析 playback_speed(兼容 speed_ratio 字段名)
clip_cfg = cfg.config or {}
playback_speed = clip_cfg.get("playback_speed", clip_cfg.get("speed_ratio", 1.0)) or 1.0
clip = EditPlanClip.create(
plan_id=plan_id,
clip_type=clip_type,
order=cfg.order,
template_clip_config_id=cfg.id,
text_content=getattr(cfg, "text_template", "") or "",
duration=duration,
transition_effect=transition or "cut",
playback_speed=playback_speed,
config=clip_cfg,
)
clips.append(clip)
return clips
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.
"""模板 clip_config 生成的 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。
模板的 clip_config 使用 ClipType 枚举(main/intro/outro 等),
但 PIP / VOICE_PIP 模式的素材分配和渲染分层依赖特定的 clip_type 命名
overlay / background / corner_voice / b_roll)。
映射规则(仅修改 MAIN 类型片段,非 MAIN 片段保持原类型):
- PIP: 第1个 MAIN → main(背景),其余 MAIN → overlay(画中画)
- VOICE_PIP: 第1个 → background,第2个 → corner_voice,第3+个 → b_roll
- ONE_TAKE / VOICE_OVER: 保持 main 不变
"""
map_clip_types_for_mode(clips, editing_mode)
from packages.domain.template_clip_config import ClipType
main_clips = [c for c in clips if c.clip_type == ClipType.MAIN.value]
if not main_clips:
return
if editing_mode == EditingMode.PIP.value:
# 第1个 main 保持(背景层),其余改为 overlay(画中画层)
for i, clip in enumerate(main_clips):
if i > 0:
clip.clip_type = "overlay"
elif editing_mode == EditingMode.VOICE_PIP.value:
for i, clip in enumerate(main_clips):
if i == 0:
clip.clip_type = "background"
elif i == 1:
clip.clip_type = "corner_voice"
else:
clip.clip_type = "b_roll"
# ONE_TAKE / VOICE_OVER: 保持 main 不变,无需处理
def _generate_default_clips(
self,
@@ -201,45 +247,191 @@ class PlanGeneratorService:
editing_mode: str,
asset_count: int,
) -> List[EditPlanClip]:
"""无 clip_configs 时,根据 editing_mode 生成默认 clip 结构.
"""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。
- ONE_TAKE: N 个 main clipsN = asset_count,至少1个)
- PIP: 1 个 main + (N-1) 个 overlayN = asset_count
- VOICE_OVER: N 个 main clips + 标记需要配音
- VOICE_PIP: 1 个 background + 1 个 corner_voice + (N-2) 个 b_roll
"""
return generate_default_clips(plan_id, editing_mode, asset_count)
n = max(asset_count, 1)
clips: List[EditPlanClip] = []
order = 0
if editing_mode == EditingMode.PIP.value:
# 1 个 main(全屏背景)
clips.append(
EditPlanClip.create(
plan_id=plan_id,
clip_type=ClipType.MAIN.value,
order=order,
duration=_DEFAULT_CLIP_DURATION,
)
)
order += 1
# 剩余为 overlay
for _ in range(1, n):
clips.append(
EditPlanClip.create(
plan_id=plan_id,
clip_type="overlay",
order=order,
duration=_DEFAULT_CLIP_DURATION,
)
)
order += 1
elif editing_mode == EditingMode.VOICE_OVER.value:
# N 个 main clipsB-roll
for _ in range(n):
clips.append(
EditPlanClip.create(
plan_id=plan_id,
clip_type=ClipType.MAIN.value,
order=order,
duration=_DEFAULT_CLIP_DURATION,
config={"role": "b_roll"},
)
)
order += 1
elif editing_mode == EditingMode.VOICE_PIP.value:
# 1 个 background
clips.append(
EditPlanClip.create(
plan_id=plan_id,
clip_type="background",
order=order,
duration=_DEFAULT_CLIP_DURATION,
)
)
order += 1
# 1 个 corner_voice
clips.append(
EditPlanClip.create(
plan_id=plan_id,
clip_type="corner_voice",
order=order,
duration=_DEFAULT_CLIP_DURATION,
)
)
order += 1
# 剩余为 b_roll
for _ in range(2, n):
clips.append(
EditPlanClip.create(
plan_id=plan_id,
clip_type="b_roll",
order=order,
duration=_DEFAULT_CLIP_DURATION,
)
)
order += 1
else:
# ONE_TAKE: N 个 main clips
for _ in range(n):
clips.append(
EditPlanClip.create(
plan_id=plan_id,
clip_type=ClipType.MAIN.value,
order=order,
duration=_DEFAULT_CLIP_DURATION,
)
)
order += 1
return clips
def _distribute_assets(
self,
clips: List[EditPlanClip],
asset_ids: List[str],
editing_mode: str,
*,
random_selection: bool = False,
asset_durations: dict[str, float] | None = None,
) -> None:
"""按 editing_mode 将素材分配到 clips(就地修改,未持久化).
"""按 editing_mode 将素材分配到 clips(就地修改,未持久化)
委托给 plan_generator_utils.distribute_assets 纯函数。
分配策略:
- ONE_TAKE: 素材按顺序依次分配给 main 类型 clips
- PIP: 第1个素材→main(全屏背景),其余→交替分配给 overlay clips
- VOICE_OVER: 素材→main clips (B-roll)
- VOICE_PIP: 第1个→background, 第2个→corner_voice, 其余→b_roll
"""
distribute_assets(
clips,
asset_ids,
editing_mode,
random_selection=random_selection,
asset_durations=asset_durations,
)
if not asset_ids or not clips:
return
def _fetch_asset_durations(self, asset_ids: List[str]) -> dict[str, float]:
"""从数据库获取素材时长信息.
if editing_mode == EditingMode.ONE_TAKE.value:
self._distribute_one_take(clips, asset_ids)
elif editing_mode == EditingMode.PIP.value:
self._distribute_pip(clips, asset_ids)
elif editing_mode == EditingMode.VOICE_OVER.value:
self._distribute_voice_over(clips, asset_ids)
elif editing_mode == EditingMode.VOICE_PIP.value:
self._distribute_voice_pip(clips, asset_ids)
else:
# 未知模式,退化为 one_take
self._distribute_one_take(clips, asset_ids)
Args:
asset_ids: 素材 ID 列表
def _distribute_one_take(
self,
clips: List[EditPlanClip],
asset_ids: List[str],
) -> None:
"""ONE_TAKE: 素材按顺序依次分配给 main 类型 clips"""
main_clips = [c for c in clips if c.clip_type == ClipType.MAIN.value]
for i, clip in enumerate(main_clips):
if i < len(asset_ids):
clip.assign_asset(asset_ids[i])
Returns:
dict: 素材 ID -> 时长(秒)映射
"""
durations: dict[str, float] = {}
for asset_id in asset_ids:
asset = self._asset_repo.get(asset_id)
if asset and hasattr(asset, "duration"):
durations[asset_id] = float(asset.duration or 0.0)
return durations
def _distribute_pip(
self,
clips: List[EditPlanClip],
asset_ids: List[str],
) -> None:
"""PIP: 第1个素材→main(全屏背景),其余→overlay clips"""
# 第1个素材 → main clip
main_clips = [c for c in clips if c.clip_type == ClipType.MAIN.value]
if main_clips and asset_ids:
main_clips[0].assign_asset(asset_ids[0])
# 其余素材 → overlay clips
overlay_clips = [c for c in clips if c.clip_type == "overlay"]
remaining = asset_ids[1:]
for i, clip in enumerate(overlay_clips):
if i < len(remaining):
clip.assign_asset(remaining[i])
def _distribute_voice_over(
self,
clips: List[EditPlanClip],
asset_ids: List[str],
) -> None:
"""VOICE_OVER: 素材→main clips (B-roll)"""
main_clips = [c for c in clips if c.clip_type == ClipType.MAIN.value]
for i, clip in enumerate(main_clips):
if i < len(asset_ids):
clip.assign_asset(asset_ids[i])
def _distribute_voice_pip(
self,
clips: List[EditPlanClip],
asset_ids: List[str],
) -> None:
"""VOICE_PIP: 第1个→background, 第2个→corner_voice, 其余→b_roll"""
bg_clips = [c for c in clips if c.clip_type == "background"]
corner_clips = [c for c in clips if c.clip_type == "corner_voice"]
broll_clips = [c for c in clips if c.clip_type == "b_roll"]
# 第1个素材 → background
if bg_clips and len(asset_ids) > 0:
bg_clips[0].assign_asset(asset_ids[0])
# 第2个素材 → corner_voice
if corner_clips and len(asset_ids) > 1:
corner_clips[0].assign_asset(asset_ids[1])
# 其余素材 → b_roll
remaining = asset_ids[2:]
for i, clip in enumerate(broll_clips):
if i < len(remaining):
clip.assign_asset(remaining[i])
+326
View File
@@ -0,0 +1,326 @@
"""SmartAssetSelector — 智能素材选择服务.
根据多维度评分从素材库中自动选择最优视频素材,
用于一键生成等需要自动选取素材的场景。
评分维度(加权求和,总分 0-1):
- 质量分(quality_score):权重 0.5 — 来自人工或AI的质量评分
- 分辨率适配:权重 0.2 — 分辨率越接近 1080p 得分越高
- 时长合理性:权重 0.2 — 3-30 秒区间最佳,过短/过长扣分
- 码率质量:权重 0.1 — 用文件大小/时长估算,码率适中得分高
特性:
- 最低质量分门槛:自动过滤低质量素材
- 时长多样性:保证选出的素材时长分布均匀(短/中/长各占一定比例)
- 兼容全部模式:素材库模式和项目模式都可用
"""
from __future__ import annotations
import logging
from dataclasses import dataclass
logger = logging.getLogger(__name__)
# ── 评分权重 ──────────────────────────────────────────────────────────────────
_WEIGHT_QUALITY = 0.5
_WEIGHT_RESOLUTION = 0.2
_WEIGHT_DURATION = 0.2
_WEIGHT_BITRATE = 0.1
# ── 评分参数 ──────────────────────────────────────────────────────────────────
_TARGET_WIDTH = 1920 # 目标分辨率宽度基准
_TARGET_HEIGHT = 1080 # 目标分辨率高度基准
_MIN_QUALITY_SCORE = 30.0 # 最低质量分门槛(低于此值的素材直接排除)
_OPTIMAL_DURATION_MIN = 3.0 # 最佳时长区间(秒)
_OPTIMAL_DURATION_MAX = 30.0
# ── 多样性分桶 ───────────────────────────────────────────────────────────────
_SHORT_BUCKET_MAX = 5.0 # 短素材:< 5s
_MEDIUM_BUCKET_MAX = 15.0 # 中素材:5-15s
# 长素材:> 15s
@dataclass
class SmartSelectResult:
"""智能选择结果."""
selected_ids: list[str]
total_candidates: int
filtered_out: int # 被质量门槛过滤的数量
avg_score: float
details: list[AssetScoreDetail]
@dataclass
class AssetScoreDetail:
"""单个素材的评分详情."""
asset_id: str
total_score: float
quality_score: float
resolution_score: float
duration_score: float
bitrate_score: float
duration: float | None
class SmartAssetSelector:
"""智能素材选择器.
从一组素材中按综合评分选择最优的 N 个,
同时保证时长分布的多样性。
"""
def __init__(
self,
min_quality_score: float = _MIN_QUALITY_SCORE,
target_width: int = _TARGET_WIDTH,
target_height: int = _TARGET_HEIGHT,
):
self.min_quality_score = min_quality_score
self.target_width = target_width
self.target_height = target_height
# ── 公开方法 ──────────────────────────────────────────────────────────────
def select(
self,
assets: list,
count: int = 0,
*,
ensure_diversity: bool = True,
) -> SmartSelectResult:
"""从素材列表中智能选择最优素材.
Args:
assets: Asset 实体列表(需要有 id/quality_score/width/height/duration/file_size 属性)
count: 选取数量,0 表示全部符合条件的
ensure_diversity: 是否保证时长多样性(默认开启)
Returns:
SmartSelectResult 选择结果
"""
# 1. 过滤:只保留 ready 状态的视频素材 + 最低质量分门槛
candidates = []
filtered_out = 0
for asset in assets:
status = getattr(asset, "status", None)
status_val = status.value if hasattr(status, "value") else str(status)
if status_val != "ready":
continue
mime_type = getattr(asset, "mime_type", "") or ""
if not mime_type.startswith("video"):
continue
quality = getattr(asset, "quality_score", None)
if quality is not None and quality < self.min_quality_score:
filtered_out += 1
continue
candidates.append(asset)
if not candidates:
return SmartSelectResult(
selected_ids=[],
total_candidates=0,
filtered_out=filtered_out,
avg_score=0.0,
details=[],
)
# 2. 对每个候选素材评分
scored: list[AssetScoreDetail] = []
for asset in candidates:
detail = self._score_asset(asset)
scored.append(detail)
# 3. 按总分降序排列
scored.sort(key=lambda d: d.total_score, reverse=True)
# 4. 多样性选择(如果需要且数量有限制)
if ensure_diversity and count > 0 and len(scored) > count:
selected = self._diverse_selection(scored, count)
else:
# 无数量限制或不要求多样性,直接按排名取
selected = scored if count <= 0 else scored[:count]
avg_score = sum(d.total_score for d in selected) / len(selected) if selected else 0.0
result = SmartSelectResult(
selected_ids=[d.asset_id for d in selected],
total_candidates=len(candidates),
filtered_out=filtered_out,
avg_score=avg_score,
details=selected,
)
logger.info(
"智能素材选择完成: 候选=%d, 过滤=%d, 选中=%d, 平均分=%.3f",
result.total_candidates,
result.filtered_out,
len(result.selected_ids),
result.avg_score,
)
return result
# ── 内部方法 ──────────────────────────────────────────────────────────────
def _score_asset(self, asset) -> AssetScoreDetail:
"""对单个素材进行多维度评分."""
# 质量分
quality = getattr(asset, "quality_score", None)
quality_score = (quality / 100.0) if quality is not None else 0.5
# 分辨率评分:越接近目标分辨率得分越高
width = getattr(asset, "width", None)
height = getattr(asset, "height", None)
resolution_score = self._score_resolution(width, height)
# 时长评分:在最佳区间内得分高,过短过长扣分
duration = getattr(asset, "duration", None)
duration_score = self._score_duration(duration)
# 码率评分:用 file_size/duration 估算,适中得分高
file_size = getattr(asset, "file_size", 0) or 0
bitrate_score = self._score_bitrate(file_size, duration)
# 加权总分
total = (
_WEIGHT_QUALITY * quality_score
+ _WEIGHT_RESOLUTION * resolution_score
+ _WEIGHT_DURATION * duration_score
+ _WEIGHT_BITRATE * bitrate_score
)
return AssetScoreDetail(
asset_id=asset.id,
total_score=round(total, 4),
quality_score=round(quality_score, 4),
resolution_score=round(resolution_score, 4),
duration_score=round(duration_score, 4),
bitrate_score=round(bitrate_score, 4),
duration=duration,
)
def _score_resolution(self, width: int | None, height: int | None) -> float:
"""分辨率评分:越接近目标分辨率得分越高,低于480p扣分严重."""
if width is None or height is None or width <= 0 or height <= 0:
return 0.5 # 未知分辨率给中评分
target_pixels = self.target_width * self.target_height
actual_pixels = width * height
# 计算像素数比例
ratio = actual_pixels / target_pixels
if ratio >= 1.0:
# 高于或等于目标分辨率:满分,略高不扣分(4K也给满分)
return 1.0
else:
# 低于目标分辨率:线性衰减,但最低不低于 0.1
# 例如:720p (921600) / 1080p (2073600) = 0.44 → 得分 0.6
score = 0.3 + 0.7 * ratio
return max(0.1, min(1.0, score))
def _score_duration(self, duration: float | None) -> float:
"""时长评分:3-30秒最佳,过短或过长都扣分."""
if duration is None or duration <= 0:
return 0.5 # 未知时长给中评分
if _OPTIMAL_DURATION_MIN <= duration <= _OPTIMAL_DURATION_MAX:
# 最佳区间:满分
return 1.0
if duration < _OPTIMAL_DURATION_MIN:
# 太短:线性衰减,1秒以下给 0.3
ratio = duration / _OPTIMAL_DURATION_MIN
return 0.3 + 0.7 * ratio
# 太长:每超过最佳区间上限10秒扣 0.1 分,最低 0.2
excess = duration - _OPTIMAL_DURATION_MAX
penalty = min(0.8, excess / 10.0 * 0.1)
return max(0.2, 1.0 - penalty)
def _score_bitrate(self, file_size: int, duration: float | None) -> float:
"""码率评分:根据文件大小和时长估算码率,适中得分高."""
if not file_size or not duration or duration <= 0:
return 0.5 # 未知给中评分
# 估算码率(bps
bitrate = (file_size * 8) / duration
# 最佳码率范围:2-8 Mbps
optimal_low = 2_000_000 # 2 Mbps
optimal_high = 8_000_000 # 8 Mbps
if optimal_low <= bitrate <= optimal_high:
return 1.0
if bitrate < optimal_low:
# 码率太低:线性衰减
ratio = bitrate / optimal_low
return 0.3 + 0.7 * ratio
# 码率太高(文件太大):适度扣分
excess = bitrate / optimal_high - 1.0
penalty = min(0.5, excess * 0.2)
return max(0.5, 1.0 - penalty)
def _diverse_selection(self, scored: list[AssetScoreDetail], count: int) -> list[AssetScoreDetail]:
"""多样性选择:按时长分桶,保证每个桶都有素材.
策略:
1. 按时长分为三桶:短(<5s)、中(5-15s)、长(>15s)
2. 每个桶配额 = max(1, count / 3)
3. 先从每桶按配额取最高分的
4. 剩余名额从全局最高分中取(不重复)
"""
# 分桶
short_bucket = [d for d in scored if d.duration is not None and d.duration < _SHORT_BUCKET_MAX]
medium_bucket = [
d for d in scored if d.duration is not None and _SHORT_BUCKET_MAX <= d.duration < _MEDIUM_BUCKET_MAX
]
long_bucket = [d for d in scored if d.duration is not None and d.duration >= _MEDIUM_BUCKET_MAX]
unknown_bucket = [d for d in scored if d.duration is None]
buckets = [short_bucket, medium_bucket, long_bucket]
bucket_names = ["short", "medium", "long"]
# 每个桶基础配额(至少1个,如果桶非空且需要的话)
base_quota = max(1, count // 3)
selected: list[AssetScoreDetail] = []
selected_ids: set[str] = set()
# 先按配额从每个桶取
for bucket, _name in zip(buckets, bucket_names, strict=False):
quota = min(base_quota, len(bucket))
if quota <= 0:
continue
# 桶内已经按分数排好序了,直接取前 quota 个
for item in bucket[:quota]:
if item.asset_id not in selected_ids:
selected.append(item)
selected_ids.add(item.asset_id)
if len(selected) >= count:
return selected
# 剩余名额:从全局(未被选中的)中按分数高低取
remaining_needed = count - len(selected)
if remaining_needed > 0:
for item in scored:
if item.asset_id not in selected_ids:
selected.append(item)
selected_ids.add(item.asset_id)
if len(selected) >= count:
break
# 如果还不够(不应该发生),加上未知时长的
if len(selected) < count and unknown_bucket:
for item in unknown_bucket:
if item.asset_id not in selected_ids:
selected.append(item)
selected_ids.add(item.asset_id)
if len(selected) >= count:
break
return selected[:count]
+246 -31
View File
@@ -29,33 +29,47 @@ from packages.adapters.sqlalchemy_impl.edit_plan_repository import (
)
from packages.domain.edit_plan import EditPlanStatus
from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus
from packages.domain.video_filter_builder import (
DEFAULT_FPS,
DEFAULT_OUTPUT_HEIGHT,
DEFAULT_OUTPUT_WIDTH,
DEFAULT_TRANSITION_DURATION,
ClipFilterChain,
build_clip_filter,
)
from packages.domain.video_filter_builder import build_concat_filter as _build_concat_filter_func
from packages.domain.video_filter_builder import build_filter_complex as _build_filter_complex
from packages.domain.video_filter_builder import build_xfade_filter as _build_xfade_filter_func
from packages.domain.video_filter_builder import chain_filters as _chain_filters_func
from packages.domain.video_filter_builder import has_audio as _has_audio_func
from packages.domain.template_clip_config import TransitionEffect
logger = logging.getLogger(__name__)
# ── 常量(向后兼容别名) ──────────────────────────────────────────────────────
# 实际定义已迁移至 packages/domain/video_filter_builder.py
# ── 常量 ──────────────────────────────────────────────────────────────────────
DEFAULT_OUTPUT_WIDTH = 1280
DEFAULT_OUTPUT_HEIGHT = 720
DEFAULT_FPS = 25
DEFAULT_CODEC = "libx264"
DEFAULT_CRF = 23
DEFAULT_PRESET = "medium"
# xfade 转场映射:TransitionEffect → FFmpeg xfade transition 名称
_XFADE_TRANSITION_MAP: dict[str, str] = {
TransitionEffect.FADE: "fade",
TransitionEffect.SLIDE_LEFT: "slideleft",
TransitionEffect.SLIDE_RIGHT: "slideright",
TransitionEffect.DISSOLVE: "dissolve",
TransitionEffect.WIPE: "wipeleft",
}
# 转场默认时长(秒)
DEFAULT_TRANSITION_DURATION = 0.5
# ── 数据结构 ──────────────────────────────────────────────────────────────────
@dataclass(frozen=True)
class ClipFilterChain:
"""单个片段的滤镜链描述。"""
clip_id: str
input_index: int
video_label: str
audio_label: str | None
filters: list[str]
duration: float
@dataclass(frozen=True)
class ComposeCommand:
"""完整的 FFmpeg 合成命令描述。"""
@@ -374,7 +388,7 @@ class VideoComposeService:
EditPlanStatus.EDITING,
EditPlanStatus.RENDERING,
),
"rendered_url": plan.config.get("rendered_storage_key", "") or plan.config.get("rendered_url", ""),
"rendered_url": plan.config.get("rendered_url", ""),
}
# ── 内部方法 ──────────────────────────────────────────────────────────
@@ -387,8 +401,62 @@ class VideoComposeService:
output_height: int,
fps: int,
) -> ClipFilterChain:
"""向后兼容:委托给 video_filter_builder.build_clip_filter。"""
return build_clip_filter(clip, input_index, output_width, output_height, fps)
"""为单个片段构建滤镜链。
滤镜顺序:
1. scale — 等比缩放到目标分辨率(保证覆盖)
2. crop — 居中裁剪到目标分辨率
3. fps — 统一输出帧率(concat 要求所有输入帧率一致)
4. setpts — 重置时间戳 + 偏移
5. trim — 视频时长裁剪
6. atrim — 音频时长裁剪(如有音频流)
"""
duration = clip.duration if clip.duration > 0 else 5.0 # 默认 5 秒
start = clip.start_time
filters: list[str] = []
# 1. scale: 等比缩放(保持比例,不裁剪)
filters.append(f"scale={output_width}:{output_height}" f":force_original_aspect_ratio=decrease")
# 2. pad: 居中+留黑边到目标分辨率(保持原始比例,不裁剪内容)
filters.append(f"pad={output_width}:{output_height}:(ow-iw)/2:(oh-ih)/2:black")
# 3. format: 统一像素格式为 yuv420pH.264 标准格式,concat 要求所有输入像素格式一致)
# 不同素材可能是 yuv420p / yuv422p / yuv444p / nv12 等,必须统一
filters.append("format=yuv420p")
# 4. fps: 统一帧率(concat 要求所有输入帧率一致)
# 放在 pad 之后、setpts 之前,确保分辨率和帧率都已统一
if fps and fps > 0:
filters.append(f"fps={fps}")
# 3. setpts: 重置时间戳
if start > 0:
filters.append(f"setpts=PTS-STARTPTS+{start}/TB")
else:
filters.append("setpts=PTS-STARTPTS")
# 4. trim: 视频时长
filters.append(f"trim=0:{duration}")
filters.append("setpts=PTS-STARTPTS") # trim 后需要重置 PTS
video_label = f"v{input_index}"
# 5. 音频标签:仅当片段类型可能有音频时才设置
# title/subtitle 是纯文字/图片卡片,没有音频流
clip_type = clip.clip_type.lower() if clip.clip_type else ""
has_audio_stream = clip_type not in ("title", "subtitle")
audio_label = f"a{input_index}" if has_audio_stream else None
return ClipFilterChain(
clip_id=clip.id,
input_index=input_index,
video_label=video_label,
audio_label=audio_label,
filters=filters,
duration=duration,
)
@staticmethod
def _build_filter_complex(
@@ -398,30 +466,102 @@ class VideoComposeService:
transition_duration: float,
transitions: list[str],
) -> tuple[str, float]:
"""向后兼容:委托给 video_filter_builder.build_filter_complex"""
return _build_filter_complex(clip_chains, output_width, output_height, transition_duration, transitions)
"""构建完整的 filter_complex 字符串。
策略:
- 单片段:直接输出
- 多片段 + 全 cut:使用 concat 滤镜(高效)
- 多片段 + 有转场:使用 xfade 滤镜链
返回 (filter_complex_string, estimated_total_duration)。
"""
n = len(clip_chains)
if n == 0:
return "", 0.0
# ── 单片段 ─────────────────────────────────────────────────────
if n == 1:
chain = clip_chains[0]
filter_str = _chain_filters(chain.filters, chain.video_label)
# 音频
if chain.audio_label:
filter_str += f";[0:a]{chain.audio_label}"
total_duration = chain.duration
return filter_str, total_duration
# ── 检查是否有转场 ─────────────────────────────────────────────
has_transitions = any(t != TransitionEffect.CUT and t != "cut" for t in transitions)
if not has_transitions:
return _build_concat_filter(clip_chains)
# ── 有转场:使用 xfade ─────────────────────────────────────────
return _build_xfade_filter(
clip_chains=clip_chains,
transition_duration=transition_duration,
transitions=transitions,
)
@staticmethod
def _has_audio(clip_chains: list[ClipFilterChain]) -> bool:
"""向后兼容:委托给 video_filter_builder.has_audio"""
return _has_audio_func(clip_chains)
"""是否有任何片段包含音频流"""
return any(c.audio_label is not None for c in clip_chains)
# ── 模块级辅助函数(向后兼容别名) ──────────────────────────────────────────
# 实际实现已迁移至 packages/domain/video_filter_builder.py
# 保留此处别名以兼容现有测试与调用方
# ── 模块级辅助函数 ────────────────────────────────────────────────────────────
def _chain_filters(filters: list[str], output_label: str) -> str:
"""向后兼容:委托给 video_filter_builder.chain_filters"""
return _chain_filters_func(filters, output_label)
"""将滤镜列表串联为 FFmpeg 滤镜字符串"""
filter_body = ",".join(filters)
return f"[0:v]{filter_body}[{output_label}]"
def _build_concat_filter(
clip_chains: list[ClipFilterChain],
) -> tuple[str, float]:
"""向后兼容:委托给 video_filter_builder.build_concat_filter。"""
return _build_concat_filter_func(clip_chains)
"""构建 concat 滤镜(无转场,高效拼接)。
格式:
[0:v]filters[v0]; [1:v]filters[v1]; ...
[v0][v1]...[vN]concat=n=N:v=1:a=0[outv]
"""
n = len(clip_chains)
parts: list[str] = []
total_duration = 0.0
# 每个片段的滤镜链
for idx, chain in enumerate(clip_chains):
filter_body = ",".join(chain.filters)
parts.append(f"[{idx}:v]{filter_body}[{chain.video_label}]")
total_duration += chain.duration
# concat 滤镜
concat_inputs = "".join(f"[{c.video_label}]" for c in clip_chains)
concat_filter = f"{concat_inputs}concat=n={n}:v=1:a=0[outv]"
parts.append(concat_filter)
# 音频 concat(如果有)— 先统一音频格式再拼接,否则不同采样率/声道会导致concat失败
audio_parts: list[str] = []
for idx, chain in enumerate(clip_chains):
if chain.audio_label:
# aformat: 统一采样率48000Hz + 双声道stereo + fltp采样格式(AAC标准格式)
audio_filters = [
"aformat=sample_rates=48000:channel_layouts=stereo:sample_fmts=fltp",
f"atrim=0:{chain.duration}",
"asetpts=PTS-STARTPTS",
]
audio_parts.append(f"[{idx}:a]{','.join(audio_filters)}[{chain.audio_label}]")
if audio_parts:
parts.extend(audio_parts)
audio_inputs = "".join(f"[{c.audio_label}]" for c in clip_chains if c.audio_label)
audio_count = sum(1 for c in clip_chains if c.audio_label)
if audio_count > 0:
parts.append(f"{audio_inputs}concat=n={audio_count}:v=0:a=1[outa]")
return ";".join(parts), total_duration
def _build_xfade_filter(
@@ -429,5 +569,80 @@ def _build_xfade_filter(
transition_duration: float,
transitions: list[str],
) -> tuple[str, float]:
"""向后兼容:委托给 video_filter_builder.build_xfade_filter。"""
return _build_xfade_filter_func(clip_chains, transition_duration, transitions)
"""构建 xfade 转场滤镜链。
每两个相邻片段之间插入 xfade 转场。
offset = 前一个片段的累积时长 - 转场时长。
格式(2 片段):
[0:v]filters[v0]; [1:v]filters[v1];
[v0][v1]xfade=transition=fade:duration=0.5:offset=4.5[outv]
格式(3+ 片段):
[v0][v1]xfade=...[tmp1]; [tmp1][v2]xfade=...[outv]
"""
n = len(clip_chains)
parts: list[str] = []
total_duration = 0.0
# 每个片段的滤镜链
for idx, chain in enumerate(clip_chains):
filter_body = ",".join(chain.filters)
parts.append(f"[{idx}:v]{filter_body}[{chain.video_label}]")
total_duration += chain.duration
# xfade 链
if n == 1:
# 单片段不需要 xfade
parts.append(f"[{clip_chains[0].video_label}]copy[outv]")
return ";".join(parts), total_duration
# 计算每个转场的 offset
cumulative = 0.0
prev_label = clip_chains[0].video_label
for i in range(1, n):
cumulative += clip_chains[i - 1].duration
offset = max(0.0, cumulative - transition_duration * i)
# 获取转场类型
transition = transitions[i] if i < len(transitions) else "cut"
xfade_transition = _XFADE_TRANSITION_MAP.get(transition, "fade")
if i == n - 1:
# 最后一个转场,输出到 [outv]
out_label = "outv"
else:
out_label = f"xf{i}"
parts.append(
f"[{prev_label}][{clip_chains[i].video_label}]"
f"xfade=transition={xfade_transition}"
f":duration={transition_duration}"
f":offset={offset:.3f}"
f"[{out_label}]"
)
prev_label = out_label
# 总时长需要减去转场重叠部分
total_duration -= transition_duration * (n - 1)
# 音频:先 aformat 归一化再 concat(不同采样率/声道/采样格式会导致concat失败)
audio_chains_with_label = [(c, c.audio_label) for c in clip_chains if c.audio_label]
if len(audio_chains_with_label) >= 2:
normalized_audio_labels: list[str] = []
for chain, _ in audio_chains_with_label:
norm_label = f"anorm_{chain.video_label}"
audio_filters = [
"aformat=sample_rates=48000:channel_layouts=stereo:sample_fmts=fltp",
f"atrim=0:{chain.duration}",
"asetpts=PTS-STARTPTS",
]
parts.append(f"[{chain.audio_label}]{','.join(audio_filters)}[{norm_label}]")
normalized_audio_labels.append(norm_label)
audio_inputs = "".join(f"[{label}]" for label in normalized_audio_labels)
parts.append(f"{audio_inputs}concat=n={len(normalized_audio_labels)}:v=0:a=1[outa]")
elif len(audio_chains_with_label) == 1:
parts.append(f"[{audio_chains_with_label[0][0].audio_label}]acopy[outa]")
return ";".join(parts), max(0.0, total_duration)
+8
View File
@@ -0,0 +1,8 @@
from fastapi import APIRouter
router = APIRouter()
@router.get("/health")
def health():
return {"ok": True, "service": "api"}
+19 -35
View File
@@ -50,10 +50,10 @@ type AssetListResponse = {
}
test.describe("Core generation flow", () => {
test.describe.configure({ timeout: 360_000 })
test.describe.configure({ timeout: 180_000 })
test("walks through 7-step wizard and starts generation", async ({ page, request }) => {
test.setTimeout(360_000)
test.setTimeout(180_000)
await routeBrowserApiToTestApi(page)
const suffix = Date.now().toString(36)
@@ -196,45 +196,37 @@ test.describe("Core generation flow", () => {
await materialLabel.locator("input[type='checkbox']").check()
await page.getByRole("button", { name: "下一步" }).click()
// Step 3: voice (可选步骤,新注册用户无配音素材,直接跳过)
await expect(page.getByRole("heading", { name: /选择配音/ })).toBeVisible({ timeout: 15000 })
// Step 3: preview (纯展示页,AI 智能匹配预览)
await expect(page.getByRole("heading", { name: /生成预览/ })).toBeVisible()
await page.getByRole("button", { name: "下一步" }).click()
// Step 4: title(新顺序:标题在预览之前)
await expect(page.getByRole("heading", { name: /选择标题/ })).toBeVisible({ timeout: 15000 })
// 等待组件完全渲染
await page.waitForTimeout(2000)
// Antd AutoComplete 的 placeholder 渲染在 span 上,input 无 placeholder 属性
// 使用 Antd AutoComplete 特有的 class 定位输入框
const titleInput = page.locator(".ant-select-auto-complete input")
await expect(titleInput).toBeVisible({ timeout: 5000 })
// Step 4: title
await expect(page.getByRole("heading", { name: /选择标题/ })).toBeVisible()
const titleText = `E2E Test ${suffix}`
await titleInput.fill(titleText)
await page.getByPlaceholder("输入自定义标题…").fill(titleText)
await page.getByRole("button", { name: "下一步" }).click()
// Step 5: preview — 前端实时预览架构改造,无需后端生成预览
await expect(page.getByRole("heading", { name: /预览设置/ })).toBeVisible({ timeout: 15000 })
// Step 5: voice
await expect(page.getByRole("heading", { name: /选择配音/ })).toBeVisible()
const firstVoiceCard = page.locator(".xx-voice-choice-item").first()
await firstVoiceCard.click()
await page.getByRole("button", { name: "下一步" }).click()
// Step 6: cover (默认 AI 智能选帧模式,直接下一步)
await expect(page.getByRole("heading", { name: /选择封面/ })).toBeVisible({ timeout: 15000 })
await expect(page.getByRole("heading", { name: /选择封面/ })).toBeVisible()
await page.getByRole("button", { name: "下一步" }).click()
// Step 7: confirm and generate
await expect(page.getByRole("heading", { name: /确认生成/ })).toBeVisible()
// Wait for generation API to be called
// 前端直接创建生成任务:POST /generation/tasks
// 新架构:GET 草稿自动创建 → PUT 更新内容 → POST /generate 触发生成
// 等 generate 接口返回,确认生成流程启动
const generatePromise = page.waitForResponse(
(response) => {
const url = response.url()
const path = new URL(url).pathname
return (
response.request().method() === "POST" &&
path.endsWith("/generation/tasks")
)
return response.request().method() === "POST" && path.endsWith("/editor/generate")
},
{ timeout: 30_000 },
)
@@ -250,18 +242,10 @@ test.describe("Core generation flow", () => {
`[E2E DEBUG] 触发生成接口失败: status=${genResp.status()} url=${genResp.url()} body=${body.slice(0, 500)}`,
)
}
// Generate API may return 400 in test env if template has no ready segments
// That is OK for a wizard flow smoke test
if (genResp.ok()) {
const genData = (await genResp.json()) as {
items: Array<{ id: string; status: string }>
total: number
}
expect(genData.items.length).toBeGreaterThan(0)
expect(genData.items[0].id).toBeTruthy()
} else {
console.log(`[E2E] Generate API returned ${genResp.status()}, wizard flow test still passes`)
}
expect(genResp.ok()).toBeTruthy()
const genData = (await genResp.json()) as { plan_id: string; generation_task_id: string }
expect(genData.plan_id).toBeTruthy()
expect(genData.generation_task_id).toBeTruthy()
// Generation may fail in test env (no worker), that's OK
// Just verify the flow started - check page shows generation-related UI
+39 -31
View File
@@ -178,7 +178,7 @@ test.describe("素材库流程", () => {
expect(kinds).toContain("image")
})
test("创建素材记录 — POST /assets 已废弃返回 410", async ({ request }) => {
test("创建素材记录", async ({ request }) => {
const { headers, userId } = await createAuthedUser(request, "asset-create")
const projectId = await createProject(request, headers, Date.now().toString())
@@ -194,7 +194,7 @@ test.describe("素材库流程", () => {
expect(lib.ok()).toBeTruthy()
const libData = await lib.json()
// POST /assets 已废弃,应返回 410 Gone
// 创建素材记录
const response = await request.post(`${apiBase}/assets`, {
headers,
data: {
@@ -210,9 +210,16 @@ test.describe("素材库流程", () => {
},
})
expect(response.status()).toBe(410)
expect(
response.ok(),
`创建素材应返回 2xx,实际: ${response.status()} ${await response.text()}`,
).toBeTruthy()
const data = await response.json()
expect(data.error?.code).toBe("HTTP_410")
expect(data.id, "应返回素材 ID").toBeTruthy()
expect(data.name).toContain("test_video")
expect(data.mime_type).toBe("video/mp4")
expect(data.library_id).toBe(libData.id)
})
test("列出素材", async ({ request }) => {
@@ -225,50 +232,51 @@ test.describe("素材库流程", () => {
data: {
project_id: projectId,
name: `List Lib ${Date.now()}`,
kind: "image",
kind: "video",
},
})
expect(lib.ok(), `创建素材库应成功: ${await lib.text()}`).toBeTruthy()
const libData = await lib.json()
// 通过 multipart upload 上传 2 个小图片作为测试素材
// 创建一个 1x1 的 PNG buffer
const tinyPng = Buffer.from(
"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==",
"base64",
)
await request.post(`${apiBase}/upload`, {
// 创建 2 个素材
await request.post(`${apiBase}/assets`, {
headers,
multipart: {
data: {
project_id: projectId,
library_id: libData.id,
file: { name: "clip_a.png", mimeType: "image/png", buffer: tinyPng },
name: `clip_a_${Date.now()}.mp4`,
storage_key: `uploads/e2e/clip_a.mp4`,
mime_type: "video/mp4",
status: "ready",
uploaded_by_user_id: userId,
},
})
await request.post(`${apiBase}/upload`, {
await request.post(`${apiBase}/assets`, {
headers,
multipart: {
data: {
project_id: projectId,
library_id: libData.id,
file: { name: "clip_b.png", mimeType: "image/png", buffer: tinyPng },
name: `clip_b_${Date.now()}.mp4`,
storage_key: `uploads/e2e/clip_b.mp4`,
mime_type: "video/mp4",
status: "ready",
uploaded_by_user_id: userId,
},
})
// 列出素材(可能需要等待 ingest job 完成)
let items: any[] = []
for (let i = 0; i < 10; i++) {
const response = await request.get(`${apiBase}/assets`, {
headers,
params: { library_id: libData.id },
})
expect(response.ok(), `列出素材应返回 2xx`).toBeTruthy()
const data = await response.json()
items = data.items || []
if (items.length >= 2) break
await new Promise((r) => setTimeout(r, 2000))
}
// 列出素材
const response = await request.get(`${apiBase}/assets`, {
headers,
params: { library_id: libData.id },
})
expect(
response.ok(),
`列出素材应返回 2xx,实际: ${response.status()} ${await response.text()}`,
).toBeTruthy()
const data = await response.json()
const items = data.items || []
expect(items.length, "应至少有 2 个素材").toBeGreaterThanOrEqual(2)
})
+26 -24
View File
@@ -12,7 +12,6 @@
"@tanstack/react-query": "^5.45.0",
"antd": "^5.18.0",
"axios": "^1.7.2",
"mp4box": "^2.4.1",
"react": "^18.3.1",
"react-dom": "^18.3.1",
"react-router-dom": "^6.24.0",
@@ -1848,7 +1847,7 @@
},
"node_modules/@testing-library/dom": {
"version": "10.4.1",
"resolved": "https://registry.npmmirror.com/@testing-library/dom/-/dom-10.4.1.tgz",
"resolved": "https://registry.npmjs.org/@testing-library/dom/-/dom-10.4.1.tgz",
"integrity": "sha512-o4PXJQidqJl82ckFaXUeoAW+XysPLauYI43Abki5hABd853iMhitooc6znOnczgbTYmEP6U6/y1ZyKAIsvMKGg==",
"dev": true,
"license": "MIT",
@@ -1938,7 +1937,7 @@
},
"node_modules/@types/aria-query": {
"version": "5.0.4",
"resolved": "https://registry.npmmirror.com/@types/aria-query/-/aria-query-5.0.4.tgz",
"resolved": "https://registry.npmjs.org/@types/aria-query/-/aria-query-5.0.4.tgz",
"integrity": "sha512-rfT93uj5s0PRL7EzccGMs3brplhcrghnDoV26NqKhCAS1hVo+WdNsPvE/yb6ilfr5hi2MEk6d5EWJTKdxg8jVw==",
"dev": true,
"license": "MIT",
@@ -3113,7 +3112,7 @@
},
"node_modules/dom-accessibility-api": {
"version": "0.5.16",
"resolved": "https://registry.npmmirror.com/dom-accessibility-api/-/dom-accessibility-api-0.5.16.tgz",
"resolved": "https://registry.npmjs.org/dom-accessibility-api/-/dom-accessibility-api-0.5.16.tgz",
"integrity": "sha512-X7BJ2yElsnOJ30pZF4uIIDfBEVgF4XEBxL9Bxhy6dnrm5hkzqmsWHGTiHqRiITNhMyFLyAiWndIJP7Z1NTteDg==",
"dev": true,
"license": "MIT",
@@ -4029,6 +4028,18 @@
"node": ">= 4"
}
},
"node_modules/immer": {
"version": "10.2.0",
"resolved": "https://registry.npmjs.org/immer/-/immer-10.2.0.tgz",
"integrity": "sha512-d/+XTN3zfODyjr89gM3mPq1WNX2B8pYsu7eORitdwyA2sBubnTl3laYlBk4sXY5FUa5qTZGBDPJICVbvqzjlbw==",
"license": "MIT",
"optional": true,
"peer": true,
"funding": {
"type": "opencollective",
"url": "https://opencollective.com/immer"
}
},
"node_modules/import-fresh": {
"version": "3.3.1",
"resolved": "https://registry.npmjs.org/import-fresh/-/import-fresh-3.3.1.tgz",
@@ -4457,7 +4468,7 @@
},
"node_modules/lz-string": {
"version": "1.5.0",
"resolved": "https://registry.npmmirror.com/lz-string/-/lz-string-1.5.0.tgz",
"resolved": "https://registry.npmjs.org/lz-string/-/lz-string-1.5.0.tgz",
"integrity": "sha512-h5bgJWpxJNswbU7qCrV0tIKQCaS3blPDrqKWx+QxzuzL1zGUzij9XCWLrSLsJPu5t+eWA/ycetzYAO5IOMcWAQ==",
"dev": true,
"license": "MIT",
@@ -4624,15 +4635,6 @@
"dev": true,
"license": "MIT"
},
"node_modules/mp4box": {
"version": "2.4.1",
"resolved": "https://registry.npmmirror.com/mp4box/-/mp4box-2.4.1.tgz",
"integrity": "sha512-0HGX7nXoDIX6FKLVl4a3wtYjBlwqsN3xuQC3GXzNtKp98FXUOhDSq623azsz8DG5ptd9ZXcXodDkgbdMZOjWvw==",
"license": "BSD-3-Clause",
"engines": {
"node": ">=20.8.1"
}
},
"node_modules/mrmime": {
"version": "2.0.1",
"resolved": "https://registry.npmjs.org/mrmime/-/mrmime-2.0.1.tgz",
@@ -5008,7 +5010,7 @@
},
"node_modules/pretty-format": {
"version": "27.5.1",
"resolved": "https://registry.npmmirror.com/pretty-format/-/pretty-format-27.5.1.tgz",
"resolved": "https://registry.npmjs.org/pretty-format/-/pretty-format-27.5.1.tgz",
"integrity": "sha512-Qb1gy5OrP5+zDf2Bvnzdl3jsTf1qXVMazbvCoKhtKqVs4/YK4ozX4gKQJJVyNe+cajNPn0KoC0MC3FUmaHWEmQ==",
"dev": true,
"license": "MIT",
@@ -5024,7 +5026,7 @@
},
"node_modules/pretty-format/node_modules/ansi-styles": {
"version": "5.2.0",
"resolved": "https://registry.npmmirror.com/ansi-styles/-/ansi-styles-5.2.0.tgz",
"resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-5.2.0.tgz",
"integrity": "sha512-Cxwpt2SfTzTtXcfOlzGEee8O+c+MmUgGrNiBcXnuWxuFJHe6a5Hz7qwhwe5OgaSYI0IJvkLqWX1ASG+cJOkEiA==",
"dev": true,
"license": "MIT",
@@ -5036,6 +5038,14 @@
"url": "https://github.com/chalk/ansi-styles?sponsor=1"
}
},
"node_modules/pretty-format/node_modules/react-is": {
"version": "17.0.2",
"resolved": "https://registry.npmjs.org/react-is/-/react-is-17.0.2.tgz",
"integrity": "sha512-w2GsyukL62IJnlaff/nRegPQR94C/XXamvMWmSHRJ4y7Ts/4ocGRmTHvOs8PSE6pB3dWOrD/nueuU5sduBsQ4w==",
"dev": true,
"license": "MIT",
"peer": true
},
"node_modules/proxy-from-env": {
"version": "2.1.0",
"resolved": "https://registry.npmjs.org/proxy-from-env/-/proxy-from-env-2.1.0.tgz",
@@ -5733,14 +5743,6 @@
"react": "^18.3.1"
}
},
"node_modules/react-is": {
"version": "17.0.2",
"resolved": "https://registry.npmmirror.com/react-is/-/react-is-17.0.2.tgz",
"integrity": "sha512-w2GsyukL62IJnlaff/nRegPQR94C/XXamvMWmSHRJ4y7Ts/4ocGRmTHvOs8PSE6pB3dWOrD/nueuU5sduBsQ4w==",
"dev": true,
"license": "MIT",
"peer": true
},
"node_modules/react-refresh": {
"version": "0.17.0",
"resolved": "https://registry.npmjs.org/react-refresh/-/react-refresh-0.17.0.tgz",
-1
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@@ -23,7 +23,6 @@
"@tanstack/react-query": "^5.45.0",
"antd": "^5.18.0",
"axios": "^1.7.2",
"mp4box": "^2.4.1",
"react": "^18.3.1",
"react-dom": "^18.3.1",
"react-router-dom": "^6.24.0",
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-2
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@@ -1,2 +0,0 @@
allowBuilds:
esbuild: set this to true or false
+443
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@@ -0,0 +1,443 @@
/**
* API
* Phase 1 project_id
*/
import apiClient from "./client"
import { getOrCreateDefaultProject } from "./projects"
/** 素材元数据 */
export interface AssetMetadata {
/** 时长(秒) */
duration?: number
/** 宽度(像素) */
width?: number
/** 高度(像素) */
height?: number
/** 比特率(bps */
bitrate?: number
/** 编码格式 */
codec?: string
/** 帧率 */
fps?: number
/** 采样率(Hz */
sample_rate?: number
/** 声道数 */
channels?: number
/** 其他扩展字段 */
[key: string]: unknown
}
/** 素材分类状态 */
export type AssetClassificationStatus = "pending" | "processing" | "completed" | "failed"
/** 素材条目 */
export interface AssetItem {
id: string
library_id: string
name: string
storage_key: string
mime_type: string
metadata: AssetMetadata
file_size?: number
file_url?: string
thumbnail_url?: string
/** 时长(秒),视频/音频素材由后端从 metadata 提取到顶层 */
duration?: number
status?: string
classification_status?: AssetClassificationStatus | null
quality_score?: number | null
tag_ids?: string[]
created_at?: string
}
/** 素材库 */
export interface AssetLibraryItem {
id: string
name: string
kind: "video" | "voice" | "image"
asset_count?: number
total_size?: number
created_at?: string
}
/** 入库任务 */
export interface IngestJob {
id: string
library_id: string
storage_key: string
status: "pending" | "processing" | "completed" | "failed"
error_message: string
result_asset_id: string
}
/** 分类任务 */
export interface ClassificationJob {
id: string
asset_id: string
status: "pending" | "processing" | "completed" | "failed"
classification: string
confidence: number
error_message: string
}
/** 素材诊断信息 */
export interface AssetDiagnosis {
readiness_score: number
readiness_label: string
total_assets: number
ready_assets: number
video_assets: number
image_assets: number
voice_assets: number
total_duration_seconds: number
estimated_video_count: number
used_assets: number
unused_assets: number
pending_review_assets: number
smart_views: Array<{
key: string
label: string
count: number
description: string
}>
gaps: Array<{
key: string
severity: "critical" | "warning" | "info"
message: string
recommendation: string
}>
}
// ─── 素材诊断 ──────────────────────────────────────────────
/** 获取素材诊断信息(可选 asset_id 查单素材,否则全局诊断) */
export const getAssetDiagnosis = async (assetId?: string): Promise<AssetDiagnosis> => {
const params: Record<string, string> = {}
if (assetId) params.asset_id = assetId
const response = await apiClient.get("/asset-diagnosis", { params })
return response.data
}
// ─── 素材库 ────────────────────────────────────────────────
/** 获取当前用户的所有素材库 */
export const getAssetLibraries = async (): Promise<AssetLibraryItem[]> => {
const response = await apiClient.get("/asset-libraries")
return response.data.items || []
}
/** 创建素材库(自动获取或创建默认项目以提供 project_id */
export const createAssetLibrary = async (data: {
name: string
kind: "video" | "voice" | "image"
}): Promise<AssetLibraryItem> => {
// 后端要求 project_id,前端自动管理默认项目
const project = await getOrCreateDefaultProject()
const response = await apiClient.post("/asset-libraries", {
project_id: project.id,
...data,
})
return response.data
}
/** 确保项目下指定 kind 的默认素材库存在(不存在则自动创建) */
export const ensureDefaultLibrary = async (data: {
project_id: string
kind: "video" | "voice" | "image"
}): Promise<AssetLibraryItem> => {
const response = await apiClient.post("/asset-libraries/ensure-default", data)
return response.data
}
/** 删除素材库 */
export const deleteAssetLibrary = async (libraryId: string): Promise<void> => {
await apiClient.delete(`/asset-libraries/${libraryId}`)
}
// ─── 素材 ──────────────────────────────────────────────────
/** 获取素材库下的所有素材 */
export const getAssets = async (
libraryId: string,
options?: { status?: string; page?: number; page_size?: number },
): Promise<{ items: AssetItem[]; total: number }> => {
const params: Record<string, string | number> = { library_id: libraryId }
// 默认拉取所有非删除状态的素材(ready/ingesting/processing/uploading/error/failed
// 让用户能看到"处理中"的素材,不会以为上传失败了
if (options?.status) {
params.status = options.status
}
if (options?.page) params.page = options.page
if (options?.page_size) params.page_size = options.page_size
const response = await apiClient.get("/assets", { params })
const data = response.data || {}
const items: AssetItem[] = data.items || []
const total: number = typeof data.total === "number" ? data.total : items.length
return { items, total }
}
/** 按类型获取素材(如 voice/video/image),支持可选筛选 */
export const getAssetsByKind = async (
kind: string,
filters?: {
keyword?: string
gender?: string
style?: string
tag_ids?: string[]
limit?: number
page?: number
page_size?: number
},
): Promise<AssetItem[]> => {
const params: Record<string, string | number> = { kind }
if (filters?.keyword) params.keyword = filters.keyword
if (filters?.gender) params.gender = filters.gender
if (filters?.style) params.style = filters.style
if (filters?.tag_ids?.length) params.tag_ids = filters.tag_ids.join(",")
if (filters?.limit) params.limit = filters.limit
if (filters?.page) params.page = filters.page
if (filters?.page_size) params.page_size = filters.page_size
const response = await apiClient.get("/assets", { params })
return response.data.items || []
}
/** 创建素材(上传文件后调用,附带 metadata) */
export const createAsset = async (data: {
library_id: string
name: string
storage_key: string
mime_type: string
metadata?: AssetMetadata
}): Promise<AssetItem> => {
const response = await apiClient.post("/assets", data)
return response.data
}
/** 更新素材(名称、metadata 等) */
export const updateAsset = async (
assetId: string,
data: { name?: string; metadata?: AssetMetadata },
): Promise<AssetItem> => {
const response = await apiClient.put(`/assets/${assetId}`, data)
return response.data
}
/** 更新素材审核状态 */
export const updateAssetReviewStatus = async (
assetId: string,
reviewStatus: "pending_review" | "approved" | "rejected",
): Promise<AssetItem> => {
const response = await apiClient.patch(`/assets/${assetId}/review`, {
review_status: reviewStatus,
})
return response.data
}
/** 删除素材 */
export const deleteAsset = async (assetId: string): Promise<void> => {
await apiClient.delete(`/assets/${assetId}`)
}
// ─── 上传 ──────────────────────────────────────────────────
/** 表单上传素材(小文件) */
export const uploadAsset = async (
formData: FormData,
): Promise<{ storage_key: string; ingest_job_id: string; url: string }> => {
const response = await apiClient.post("/upload", formData, {
headers: { "Content-Type": "multipart/form-data" },
timeout: 30 * 60 * 1000,
})
return response.data
}
/** 预签名直传准备 */
export const prepareDirectUpload = async (data: {
project_id: string
library_id: string
filename: string
content_type: string
file_size: number
}): Promise<{
upload_url: string
method: string
storage_key: string
expires_at: string
fields: Record<string, string>
max_size_bytes: number
}> => {
const response = await apiClient.post("/upload/direct/prepare", data)
return response.data
}
/** 直传完成确认 */
export const completeDirectUpload = async (data: {
project_id: string
library_id: string
storage_key: string
}): Promise<{ storage_key: string; ingest_job_id: string }> => {
const response = await apiClient.post("/upload/direct/complete", data)
return response.data
}
/** 直传上传(大文件推荐),支持可选进度回调 */
export const uploadAssetDirect = async (data: {
file: File
library_id: string
onProgress?: (percent: number) => void
}): Promise<{ storage_key: string; ingest_job_id: string }> => {
// 后端要求 project_id,前端自动获取默认项目
const project = await getOrCreateDefaultProject()
const prepared = await prepareDirectUpload({
project_id: project.id,
library_id: data.library_id,
filename: data.file.name,
content_type: data.file.type || "application/octet-stream",
file_size: data.file.size,
})
const directForm = new FormData()
Object.entries(prepared.fields).forEach(([key, value]) => directForm.append(key, value))
directForm.append("file", data.file)
// 使用 XMLHttpRequest 以获取上传进度 + 超时控制 + 详细错误诊断
await new Promise<void>((resolve, reject) => {
const xhr = new XMLHttpRequest()
xhr.open(prepared.method, prepared.upload_url)
// 超时 10 分钟
xhr.timeout = 10 * 60 * 1000
xhr.upload.onprogress = (e) => {
if (e.lengthComputable && data.onProgress) {
data.onProgress(Math.round((e.loaded / e.total) * 100))
}
}
xhr.onload = () => {
if (xhr.status >= 200 && xhr.status < 300) {
resolve()
} else {
// 解析 OSS 返回的 XML 错误信息
let ossError = ""
try {
const codeMatch = xhr.responseText.match(/<Code>([^<]+)<\/Code>/)
const msgMatch = xhr.responseText.match(/<Message>([^<]+)<\/Message>/)
if (codeMatch || msgMatch) {
ossError = ` [OSS: ${codeMatch?.[1] || "unknown"} - ${msgMatch?.[1] || "unknown"}]`
}
} catch {
// 无法解析响应体
}
const detail = `OSS 直传失败: HTTP ${xhr.status} ${xhr.statusText}${ossError}`
console.error("[OSS Upload] 直传失败:", {
url: prepared.upload_url,
storage_key: prepared.storage_key,
status: xhr.status,
statusText: xhr.statusText,
})
reject(new Error(detail))
}
}
xhr.onerror = () => {
console.error("[OSS Upload] 网络错误:", {
url: prepared.upload_url,
storage_key: prepared.storage_key,
})
reject(new Error("OSS 上传网络错误,请检查网络连接"))
}
xhr.ontimeout = () => {
console.error("[OSS Upload] 上传超时:", {
url: prepared.upload_url,
storage_key: prepared.storage_key,
})
reject(new Error("OSS 上传超时(10分钟),请检查网络或尝试更小的文件"))
}
xhr.send(directForm)
})
return completeDirectUpload({
project_id: project.id,
library_id: data.library_id,
storage_key: prepared.storage_key,
})
}
// ─── 入库 / 分类任务 ───────────────────────────────────────
/** 查询入库任务状态 */
export const getIngestJob = async (jobId: string): Promise<IngestJob> => {
const response = await apiClient.get(`/ingest-jobs/${jobId}`)
return response.data
}
/** 提交素材分类任务 */
export const submitClassificationJob = async (data: {
asset_id: string
}): Promise<ClassificationJob> => {
const response = await apiClient.post("/classification-jobs", data)
return response.data
}
/** 查询分类任务状态 */
export const getClassificationJob = async (jobId: string): Promise<ClassificationJob> => {
const response = await apiClient.get(`/classification-jobs/${jobId}`)
return response.data
}
// ─── 批量操作 ───────────────────────────────────────────────
/** 批量操作结果 */
export interface BatchOperationResult {
succeeded: string[]
failed: string[]
total: number
success_count: number
failure_count: number
}
/** 统一批量操作结果归一化,防御后端字段缺失或格式不一致 */
const normalizeBatchResult = (raw: Record<string, unknown>): BatchOperationResult => {
const succeeded = Array.isArray(raw.succeeded) ? (raw.succeeded as string[]) : []
const failed = Array.isArray(raw.failed) ? (raw.failed as string[]) : []
const success_count = typeof raw.success_count === "number" ? raw.success_count : succeeded.length
const failure_count = typeof raw.failure_count === "number" ? raw.failure_count : failed.length
const total = typeof raw.total === "number" ? raw.total : success_count + failure_count
return { succeeded, failed, total, success_count, failure_count }
}
/** 批量删除素材 */
export const batchDeleteAssets = async (assetIds: string[]): Promise<BatchOperationResult> => {
const response = await apiClient.post("/assets/batch-delete", {
asset_ids: assetIds,
})
return normalizeBatchResult((response.data || {}) as Record<string, unknown>)
}
/** 批量打标签 */
export const batchTagAssets = async (data: {
asset_ids: string[]
tags: string[]
mode: "add" | "replace"
}): Promise<BatchOperationResult> => {
const response = await apiClient.post("/assets/batch-tag", data)
return normalizeBatchResult((response.data || {}) as Record<string, unknown>)
}
/** 批量改分类 */
export const batchClassifyAssets = async (data: {
asset_ids: string[]
category: string
}): Promise<BatchOperationResult> => {
const response = await apiClient.post("/assets/batch-classify", data)
return normalizeBatchResult((response.data || {}) as Record<string, unknown>)
}
/** 批量智能标记 */
export const batchMarkAssets = async (data: {
asset_ids: string[]
smart_view: "recommended" | "caution" | "high_risk"
}): Promise<BatchOperationResult> => {
const response = await apiClient.post("/assets/batch-mark", data)
return normalizeBatchResult((response.data || {}) as Record<string, unknown>)
}
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@@ -1,86 +0,0 @@
/**
* CRUD API
*/
import apiClient from "../client"
import type { AssetItem, AssetMetadata } from "./types"
/** 获取素材库下的所有素材 */
export const getAssets = async (
libraryId: string,
options?: {
status?: string
page?: number
page_size?: number
},
): Promise<{ items: AssetItem[]; total: number }> => {
const params: Record<string, string | number> = { library_id: libraryId }
if (options?.status) params.status = options.status
if (options?.page) params.page = options.page
if (options?.page_size) params.page_size = options.page_size
const response = await apiClient.get("/assets", { params })
const data = response.data || {}
const items: AssetItem[] = data.items || []
const total: number = typeof data.total === "number" ? data.total : items.length
return { items, total }
}
/** 按类型获取素材(如 voice/video/image),支持可选筛选 */
export const getAssetsByKind = async (
kind: string,
filters?: {
keyword?: string
gender?: string
style?: string
tag_ids?: string[]
limit?: number
page?: number
page_size?: number
},
): Promise<AssetItem[]> => {
const params: Record<string, string | number> = { kind }
if (filters?.keyword) params.keyword = filters.keyword
if (filters?.gender) params.gender = filters.gender
if (filters?.style) params.style = filters.style
if (filters?.tag_ids?.length) params.tag_ids = filters.tag_ids.join(",")
if (filters?.limit) params.limit = filters.limit
if (filters?.page) params.page = filters.page
if (filters?.page_size) params.page_size = filters.page_size
const response = await apiClient.get("/assets", { params })
return response.data.items || []
}
/**
* AI
* smart-match
*/
export const smartMatchAssets = async (libraryId: string): Promise<{ items: AssetItem[] }> => {
const response = await apiClient.post("/assets/smart-match", {
library_id: libraryId,
})
return response.data
}
/** 更新素材(名称、metadata 等) */
export const updateAsset = async (
assetId: string,
data: { name?: string; metadata?: AssetMetadata },
): Promise<AssetItem> => {
const response = await apiClient.put(`/assets/${assetId}`, data)
return response.data
}
/** 更新素材审核状态 */
export const updateAssetReviewStatus = async (
assetId: string,
reviewStatus: "pending_review" | "approved" | "rejected",
): Promise<AssetItem> => {
const response = await apiClient.patch(`/assets/${assetId}/review`, {
review_status: reviewStatus,
})
return response.data
}
/** 删除素材 */
export const deleteAsset = async (assetId: string): Promise<void> => {
await apiClient.delete(`/assets/${assetId}`)
}
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@@ -1,51 +0,0 @@
/**
* API
*/
import apiClient from "../client"
import type { BatchOperationResult } from "./types"
/** 统一批量操作结果归一化,防御后端字段缺失或格式不一致 */
export const normalizeBatchResult = (raw: Record<string, unknown>): BatchOperationResult => {
const succeeded = Array.isArray(raw.succeeded) ? (raw.succeeded as string[]) : []
const failed = Array.isArray(raw.failed) ? (raw.failed as string[]) : []
const success_count = typeof raw.success_count === "number" ? raw.success_count : succeeded.length
const failure_count = typeof raw.failure_count === "number" ? raw.failure_count : failed.length
const total = typeof raw.total === "number" ? raw.total : success_count + failure_count
return { succeeded, failed, total, success_count, failure_count }
}
/** 批量删除素材 */
export const batchDeleteAssets = async (assetIds: string[]): Promise<BatchOperationResult> => {
const response = await apiClient.post("/assets/batch-delete", {
asset_ids: assetIds,
})
return normalizeBatchResult((response.data || {}) as Record<string, unknown>)
}
/** 批量打标签 */
export const batchTagAssets = async (data: {
asset_ids: string[]
tags: string[]
mode: "add" | "replace"
}): Promise<BatchOperationResult> => {
const response = await apiClient.post("/assets/batch-tag", data)
return normalizeBatchResult((response.data || {}) as Record<string, unknown>)
}
/** 批量改分类 */
export const batchClassifyAssets = async (data: {
asset_ids: string[]
category: string
}): Promise<BatchOperationResult> => {
const response = await apiClient.post("/assets/batch-classify", data)
return normalizeBatchResult((response.data || {}) as Record<string, unknown>)
}
/** 批量智能标记 */
export const batchMarkAssets = async (data: {
asset_ids: string[]
smart_view: "recommended" | "caution" | "high_risk"
}): Promise<BatchOperationResult> => {
const response = await apiClient.post("/assets/batch-mark", data)
return normalizeBatchResult((response.data || {}) as Record<string, unknown>)
}
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@@ -1,13 +0,0 @@
/**
* API
*/
import apiClient from "../client"
import type { AssetDiagnosis } from "./types"
/** 获取素材诊断信息(可选 asset_id 查单素材,否则全局诊断) */
export const getAssetDiagnosis = async (assetId?: string): Promise<AssetDiagnosis> => {
const params: Record<string, string> = {}
if (assetId) params.asset_id = assetId
const response = await apiClient.get("/asset-diagnosis", { params })
return response.data
}
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@@ -1,54 +0,0 @@
/**
* API
* assets.ts
*/
// 类型
export type {
AssetMetadata,
AssetClassificationStatus,
AssetItem,
AssetLibraryItem,
IngestJob,
ClassificationJob,
AssetDiagnosis,
BatchOperationResult,
DirectUploadPrepareResult,
DirectUploadCompleteResult,
} from "./types"
// 素材诊断
export { getAssetDiagnosis } from "./diagnosis"
// 素材库
export {
getAssetLibraries,
createAssetLibrary,
ensureDefaultLibrary,
deleteAssetLibrary,
} from "./libraries"
// 素材 CRUD + 智能匹配
export {
getAssets,
getAssetsByKind,
smartMatchAssets,
updateAsset,
updateAssetReviewStatus,
deleteAsset,
} from "./assets"
// 上传
export { prepareDirectUpload, completeDirectUpload, uploadAssetDirect } from "./upload"
// 任务
export { getIngestJob, submitClassificationJob, getClassificationJob } from "./jobs"
// 批量操作
export {
normalizeBatchResult,
batchDeleteAssets,
batchTagAssets,
batchClassifyAssets,
batchMarkAssets,
} from "./batch"
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@@ -1,25 +0,0 @@
/**
* & API
*/
import apiClient from "../client"
import type { IngestJob, ClassificationJob } from "./types"
/** 查询入库任务状态 */
export const getIngestJob = async (jobId: string): Promise<IngestJob> => {
const response = await apiClient.get(`/ingest-jobs/${jobId}`)
return response.data
}
/** 提交素材分类任务 */
export const submitClassificationJob = async (data: {
asset_id: string
}): Promise<ClassificationJob> => {
const response = await apiClient.post("/classification-jobs", data)
return response.data
}
/** 查询分类任务状态 */
export const getClassificationJob = async (jobId: string): Promise<ClassificationJob> => {
const response = await apiClient.get(`/classification-jobs/${jobId}`)
return response.data
}
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@@ -1,39 +0,0 @@
/**
* API
*/
import apiClient from "../client"
import { getOrCreateDefaultProject } from "../projects"
import type { AssetLibraryItem } from "./types"
/** 获取当前用户的所有素材库 */
export const getAssetLibraries = async (): Promise<AssetLibraryItem[]> => {
const response = await apiClient.get("/asset-libraries")
return response.data.items || []
}
/** 创建素材库(自动获取或创建默认项目以提供 project_id */
export const createAssetLibrary = async (data: {
name: string
kind: "video" | "voice" | "image"
}): Promise<AssetLibraryItem> => {
const project = await getOrCreateDefaultProject()
const response = await apiClient.post("/asset-libraries", {
project_id: project.id,
...data,
})
return response.data
}
/** 确保项目下指定 kind 的默认素材库存在 */
export const ensureDefaultLibrary = async (data: {
project_id: string
kind: "video" | "voice" | "image"
}): Promise<AssetLibraryItem> => {
const response = await apiClient.post("/asset-libraries/ensure-default", data)
return response.data
}
/** 删除素材库 */
export const deleteAssetLibrary = async (libraryId: string): Promise<void> => {
await apiClient.delete(`/asset-libraries/${libraryId}`)
}
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/**
*
*/
/** 素材元数据 */
export interface AssetMetadata {
/** 时长(秒) */
duration?: number
/** 宽度(像素) */
width?: number
/** 高度(像素) */
height?: number
/** 比特率(bps */
bitrate?: number
/** 编码格式 */
codec?: string
/** 帧率 */
fps?: number
/** 采样率(Hz */
sample_rate?: number
/** 声道数 */
channels?: number
/** 其他扩展字段 */
[key: string]: unknown
}
/** 素材分类状态 */
export type AssetClassificationStatus = "pending" | "processing" | "completed" | "failed"
/** 素材条目 */
export interface AssetItem {
id: string
library_id: string
name: string
storage_key: string
mime_type: string
metadata: AssetMetadata
file_size?: number
file_url?: string
thumbnail_url?: string
/** 时长(秒),视频/音频素材由后端从 metadata 提取到顶层 */
duration?: number
status?: string
classification_status?: AssetClassificationStatus | null
quality_score?: number | null
tag_ids?: string[]
created_at?: string
}
/** 素材库 */
export interface AssetLibraryItem {
id: string
name: string
kind: "video" | "voice" | "image"
asset_count?: number
total_size?: number
created_at?: string
}
/** 入库任务 */
export interface IngestJob {
id: string
library_id: string
storage_key: string
status: "pending" | "processing" | "completed" | "failed"
error_message: string
result_asset_id: string
}
/** 分类任务 */
export interface ClassificationJob {
id: string
asset_id: string
status: "pending" | "processing" | "completed" | "failed"
classification: string
confidence: number
error_message: string
}
/** 素材诊断信息 */
export interface AssetDiagnosis {
readiness_score: number
readiness_label: string
total_assets: number
ready_assets: number
video_assets: number
image_assets: number
voice_assets: number
total_duration_seconds: number
estimated_video_count: number
used_assets: number
unused_assets: number
pending_review_assets: number
smart_views: Array<{
key: string
label: string
count: number
description: string
}>
gaps: Array<{
key: string
severity: "critical" | "warning" | "info"
message: string
recommendation: string
}>
}
/** 批量操作结果 */
export interface BatchOperationResult {
succeeded: string[]
failed: string[]
total: number
success_count: number
failure_count: number
}
/** 上传返回 */
export interface UploadResult {
storage_key: string
ingest_job_id: string
url: string
}
/** 预签名直传准备返回 */
export interface DirectUploadPrepareResult {
upload_url: string
method: string
storage_key: string
expires_at: string
fields: Record<string, string>
max_size_bytes: number
}
/** 直传完成确认返回 */
export interface DirectUploadCompleteResult {
storage_key: string
ingest_job_id: string
url: string
}
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/**
* API + OSS
*/
import apiClient from "../client"
import { getOrCreateDefaultProject } from "../projects"
import type { DirectUploadPrepareResult, DirectUploadCompleteResult } from "./types"
/** 预签名直传准备 */
export const prepareDirectUpload = async (data: {
project_id: string
library_id: string
filename: string
content_type: string
file_size: number
}): Promise<DirectUploadPrepareResult> => {
const response = await apiClient.post("/upload/direct/prepare", data)
return response.data
}
/** 直传完成确认 */
export const completeDirectUpload = async (data: {
project_id: string
library_id: string
storage_key: string
}): Promise<DirectUploadCompleteResult> => {
const response = await apiClient.post("/upload/direct/complete", data)
return response.data
}
/** 直传上传(大文件推荐),支持可选进度回调 */
export const uploadAssetDirect = async (data: {
file: File
library_id: string
onProgress?: (percent: number) => void
}): Promise<DirectUploadCompleteResult> => {
const project = await getOrCreateDefaultProject()
const prepared = await prepareDirectUpload({
project_id: project.id,
library_id: data.library_id,
filename: data.file.name,
content_type: data.file.type || "application/octet-stream",
file_size: data.file.size,
})
const directForm = new FormData()
Object.entries(prepared.fields).forEach(([key, value]) => directForm.append(key, value))
directForm.append("file", data.file)
// 使用 XMLHttpRequest 以获取上传进度 + 超时控制 + 详细错误诊断
await new Promise<void>((resolve, reject) => {
const xhr = new XMLHttpRequest()
xhr.open(prepared.method, prepared.upload_url)
// 超时 10 分钟
xhr.timeout = 10 * 60 * 1000
xhr.upload.onprogress = (e) => {
if (e.lengthComputable && data.onProgress) {
data.onProgress(Math.round((e.loaded / e.total) * 100))
}
}
xhr.onload = () => {
if (xhr.status >= 200 && xhr.status < 300) {
resolve()
} else {
// 解析 OSS 返回的 XML 错误信息
let ossError = ""
try {
const codeMatch = xhr.responseText.match(/<Code>([^<]+)<\/Code>/)
const msgMatch = xhr.responseText.match(/<Message>([^<]+)<\/Message>/)
if (codeMatch || msgMatch) {
ossError = ` [OSS: ${codeMatch?.[1] || "unknown"} - ${msgMatch?.[1] || "unknown"}]`
}
} catch {
// 无法解析响应体
}
const detail = `OSS 直传失败: HTTP ${xhr.status} ${xhr.statusText}${ossError}`
console.error("[OSS Upload] 直传失败:", {
url: prepared.upload_url,
storage_key: prepared.storage_key,
status: xhr.status,
statusText: xhr.statusText,
})
reject(new Error(detail))
}
}
xhr.onerror = () => {
console.error("[OSS Upload] 网络错误:", {
url: prepared.upload_url,
storage_key: prepared.storage_key,
})
reject(new Error("OSS 上传网络错误,请检查网络连接"))
}
xhr.ontimeout = () => {
console.error("[OSS Upload] 上传超时:", {
url: prepared.upload_url,
storage_key: prepared.storage_key,
})
reject(new Error("OSS 上传超时(10分钟),请检查网络或尝试更小的文件"))
}
xhr.send(directForm)
})
return completeDirectUpload({
project_id: project.id,
library_id: data.library_id,
storage_key: prepared.storage_key,
})
}
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/**
* API
*/
import axios from "axios"
import apiClient from "./client"
// 类型定义
export interface LoginRequest {
email: string
password: string
}
export interface LoginResponse {
access_token: string
refresh_token?: string | null
token_type: string
expires_in: number
user_id: string
email: string
username: string
display_name: string
}
export interface RegisterRequest {
email: string
password: string
username: string
display_name?: string
}
export interface User {
id: string
user_id: string
email: string
username: string
display_name: string
is_email_verified: boolean
email_verified: boolean
created_at?: string
}
export interface UserResponse {
id?: string
user_id?: string
email: string
username: string
display_name: string
is_email_verified?: boolean
email_verified?: boolean
created_at?: string
}
export const normalizeUser = (data: UserResponse): User => {
const userId = data.id ?? data.user_id ?? ""
const emailVerified = data.is_email_verified ?? data.email_verified ?? false
return {
id: userId,
user_id: userId,
email: data.email,
username: data.username,
display_name: data.display_name,
is_email_verified: emailVerified,
email_verified: emailVerified,
created_at: data.created_at,
}
}
// 登录
export const login = async (data: LoginRequest): Promise<LoginResponse> => {
const response = await apiClient.post("/auth/login", data)
return response.data
}
// 刷新 access_token(使用裸 axios 避免拦截器递归)
export const refreshAccessToken = async (refreshToken: string): Promise<LoginResponse> => {
const baseURL = apiClient.defaults.baseURL ?? ""
const response = await axios.post(`${baseURL}/auth/refresh`, {
refresh_token: refreshToken,
})
return response.data
}
// 注册
export const register = async (data: RegisterRequest): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/register", data)
return response.data
}
// 登出
export const logout = async (): Promise<void> => {
await apiClient.post("/auth/logout")
}
// 获取当前用户
export const getCurrentUser = async (): Promise<User> => {
const response = await apiClient.get<UserResponse>("/auth/me")
return normalizeUser(response.data)
}
// 请求密码重置
export const requestPasswordReset = async (email: string): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/forgot-password", { email })
return response.data
}
// 重置密码
export const resetPassword = async (
token: string,
newPassword: string,
): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/reset-password", {
token,
new_password: newPassword,
})
return response.data
}
// 验证邮箱
export const verifyEmail = async (token: string): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/verify-email", { token })
return response.data
}
/* ========== 微信登录 ========== */
export interface WechatAuthUrlResponse {
auth_url: string
state: string
}
export interface WechatCallbackResponse {
access_token: string
refresh_token?: string | null
user_id: string
display_name: string
avatar_url: string
is_new_user: boolean
binding_complete: boolean
expires_in: number
}
export interface SendVerificationCodeRequest {
target: "email" | "phone"
value: string
purpose: "bind" | "login" | "reset_password"
}
export interface BindContactRequest {
email?: string
email_code?: string
phone?: string
phone_code?: string
}
export interface BindContactResponse {
success: boolean
user: User
}
// 获取微信授权链接
export const getWechatAuthUrl = async (): Promise<WechatAuthUrlResponse> => {
const response = await apiClient.get("/auth/wechat/url")
return response.data
}
// 微信回调登录
export const wechatCallback = async (
code: string,
state: string,
): Promise<WechatCallbackResponse> => {
const response = await apiClient.post("/auth/wechat/callback", { code, state })
return response.data
}
// 发送验证码
export const sendVerificationCode = async (
data: SendVerificationCodeRequest,
): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/send-verification-code", data)
return response.data
}
// 绑定联系方式
export const bindContact = async (data: BindContactRequest): Promise<BindContactResponse> => {
const response = await apiClient.post("/auth/bind-contact", data)
return response.data
}
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import apiClient from "../client"
import type { SendVerificationCodeRequest, BindContactRequest, BindContactResponse } from "./types"
/**
*
*/
export const sendVerificationCode = async (
data: SendVerificationCodeRequest,
): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/send-verification-code", data)
return response.data
}
/**
*
*/
export const bindContact = async (data: BindContactRequest): Promise<BindContactResponse> => {
const response = await apiClient.post("/auth/bind-contact", data)
return response.data
}
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import apiClient from "../client"
import type { User, UserResponse } from "./types"
import { normalizeUser } from "./user"
/**
*
*/
export const getCurrentUser = async (): Promise<User> => {
const response = await apiClient.get<UserResponse>("/auth/me")
return normalizeUser(response.data)
}
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import apiClient from "../client"
/**
*
*/
export const verifyEmail = async (token: string): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/verify-email", { token })
return response.data
}
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/**
* API
* re-export
*/
// 类型
export type {
LoginRequest,
LoginResponse,
RegisterRequest,
User,
UserResponse,
WechatAuthUrlResponse,
WechatCallbackResponse,
SendVerificationCodeRequest,
BindContactRequest,
BindContactResponse,
} from "./types"
// 用户工具函数
export { normalizeUser } from "./user"
// 登录/注册/登出/刷新
export { login, refreshAccessToken, register, logout } from "./login"
// 当前用户
export { getCurrentUser } from "./currentUser"
// 密码重置
export { requestPasswordReset, resetPassword } from "./password"
// 邮箱验证
export { verifyEmail } from "./email"
// 微信登录
export { getWechatAuthUrl, wechatCallback } from "./wechat"
// 联系方式
export { sendVerificationCode, bindContact } from "./contact"
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import axios from "axios"
import apiClient from "../client"
import type { LoginRequest, LoginResponse, RegisterRequest } from "./types"
/**
*
*/
export const login = async (data: LoginRequest): Promise<LoginResponse> => {
const response = await apiClient.post("/auth/login", data)
return response.data
}
/**
* access_token使 axios
*/
export const refreshAccessToken = async (refreshToken: string): Promise<LoginResponse> => {
const baseURL = apiClient.defaults.baseURL ?? ""
const response = await axios.post(`${baseURL}/auth/refresh`, {
refresh_token: refreshToken,
})
return response.data
}
/**
*
*/
export const register = async (data: RegisterRequest): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/register", data)
return response.data
}
/**
*
*/
export const logout = async (): Promise<void> => {
await apiClient.post("/auth/logout")
}
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import apiClient from "../client"
/**
*
*/
export const requestPasswordReset = async (email: string): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/forgot-password", { email })
return response.data
}
/**
*
*/
export const resetPassword = async (
token: string,
newPassword: string,
): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/reset-password", {
token,
new_password: newPassword,
})
return response.data
}
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/**
* Token
*
* access_token API 401
* JWT payload base64 JSON
*/
import { useAuthStore } from "@/store/authStore"
import { refreshAccessToken } from "./login"
let refreshTimer: ReturnType<typeof setTimeout> | null = null
/** 正在执行刷新操作的 Promise,防止主动刷新和 401 被动刷新并发竞争 */
let activeRefreshPromise: Promise<void> | null = null
/** 提前刷新的缓冲时间(秒) */
const REFRESH_BUFFER_SECONDS = 60
/**
* JWT payload exp
*/
function decodeJwtPayload(token: string): { exp?: number } | null {
try {
const parts = token.split(".")
if (parts.length !== 3) return null
// JWT 使用 base64url 编码,需要转换为标准 base64
const payload = parts[1].replace(/-/g, "+").replace(/_/g, "/")
const padded = payload + "=".repeat((4 - (payload.length % 4)) % 4)
const decoded = atob(padded)
return JSON.parse(decoded)
} catch {
return null
}
}
/**
*
*/
export function cancelProactiveRefresh(): void {
if (refreshTimer) {
clearTimeout(refreshTimer)
refreshTimer = null
}
}
/**
* token 401
* Promise Promise
*/
export function executeTokenRefresh(): Promise<void> | null {
// 已有刷新进行中 → 复用
if (activeRefreshPromise) {
return activeRefreshPromise
}
const { user, refreshToken: refreshTokenValue } = useAuthStore.getState()
// 安全检查:user 或 refreshToken 为空时跳过刷新
if (!user || !refreshTokenValue) {
return null
}
activeRefreshPromise = (async () => {
try {
const data = await refreshAccessToken(refreshTokenValue)
const newAccessToken = data.access_token
const newRefreshToken = data.refresh_token ?? refreshTokenValue
// 更新 Zustand store + localStorage
useAuthStore.getState().setAuth(user, newAccessToken, newRefreshToken)
// 递归调度下一次刷新
scheduleProactiveRefresh()
} catch {
// 刷新失败 → 清除认证状态,跳转登录页
cancelProactiveRefresh()
useAuthStore.getState().clearAuth()
window.location.href = "/login"
} finally {
activeRefreshPromise = null
}
})()
return activeRefreshPromise
}
/**
* token REFRESH_BUFFER_SECONDS
*/
export function scheduleProactiveRefresh(): void {
cancelProactiveRefresh()
// 统一从 Zustand store 读取(与 setAuth 写入保持一致)
const { accessToken, refreshToken: refreshTokenValue } = useAuthStore.getState()
if (!accessToken || !refreshTokenValue) return
const payload = decodeJwtPayload(accessToken)
if (!payload?.exp) return
const now = Math.floor(Date.now() / 1000)
const secondsUntilExpiry = payload.exp - now
// 如果 token 已经过期或即将在缓冲时间内过期,立即刷新
const delaySeconds = Math.max(secondsUntilExpiry - REFRESH_BUFFER_SECONDS, 0)
refreshTimer = setTimeout(() => {
executeTokenRefresh()
}, delaySeconds * 1000)
}
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/**
*
*/
export interface LoginRequest {
email: string
password: string
}
export interface LoginResponse {
access_token: string
refresh_token?: string | null
token_type: string
expires_in: number
user_id: string
email: string
username: string
display_name: string
}
export interface RegisterRequest {
email: string
password: string
username: string
display_name?: string
}
export interface User {
id: string
user_id: string
email: string
username: string
display_name: string
is_email_verified: boolean
email_verified: boolean
created_at?: string
}
export interface UserResponse {
id?: string
user_id?: string
email: string
username: string
display_name: string
is_email_verified?: boolean
email_verified?: boolean
created_at?: string
}
export interface WechatAuthUrlResponse {
auth_url: string
state: string
}
export interface WechatCallbackResponse {
access_token: string
refresh_token?: string | null
user_id: string
display_name: string
avatar_url: string
is_new_user: boolean
binding_complete: boolean
expires_in: number
}
export interface SendVerificationCodeRequest {
target: "email" | "phone"
value: string
purpose: "bind" | "login" | "reset_password"
}
export interface BindContactRequest {
email?: string
email_code?: string
phone?: string
phone_code?: string
}
export interface BindContactResponse {
success: boolean
user: User
}
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@@ -1,20 +0,0 @@
import type { User, UserResponse } from "./types"
/**
*
*/
export const normalizeUser = (data: UserResponse): User => {
const userId = data.id ?? data.user_id ?? ""
const emailVerified = data.is_email_verified ?? data.email_verified ?? false
return {
id: userId,
user_id: userId,
email: data.email,
username: data.username,
display_name: data.display_name,
is_email_verified: emailVerified,
email_verified: emailVerified,
created_at: data.created_at,
}
}
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@@ -1,21 +0,0 @@
import apiClient from "../client"
import type { WechatAuthUrlResponse, WechatCallbackResponse } from "./types"
/**
*
*/
export const getWechatAuthUrl = async (): Promise<WechatAuthUrlResponse> => {
const response = await apiClient.get("/auth/wechat/url")
return response.data
}
/**
*
*/
export const wechatCallback = async (
code: string,
state: string,
): Promise<WechatCallbackResponse> => {
const response = await apiClient.post("/auth/wechat/callback", { code, state })
return response.data
}
+68
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/**
* BGM API
* BGM +
*/
import apiClient from "./client"
/* ──────────── 类型 ──────────── */
/** BGM 风格分类 */
export type BgmCategory = "轻快" | "治愈" | "科技" | "电商"
/** BGM 预设项 */
export interface BgmPreset {
id: string
name: string
category: BgmCategory
/** 音频文件 URL */
url: string
/** 时长(秒) */
duration: number
/** 关键词标签 */
tags: string[]
/** 封面图 URL */
cover_url?: string
}
/** BGM 预设列表查询参数 */
export interface BgmPresetsQuery {
category?: BgmCategory | string
keyword?: string
}
/** BGM 混音配置(嵌入模板) */
export interface BgmMixConfig {
/** 是否启用 BGM */
enabled: boolean
/** 选中的 BGM ID */
music_id: string
/** BGM 音量 0-100 */
volume: number
/** 淡入时长(秒) 0-3 */
fade_in: number
/** 淡出时长(秒) 0-3 */
fade_out: number
/** 人声闪避(sidechain */
voice_dodge: boolean
}
/** 默认 BGM 混音配置 */
export const DEFAULT_BGM_MIX_CONFIG: BgmMixConfig = {
enabled: false,
music_id: "",
volume: 50,
fade_in: 0.5,
fade_out: 0.5,
voice_dodge: true,
}
/* ──────────── API ──────────── */
/** 获取 BGM 预设列表 */
export const getBgmPresets = async (params?: BgmPresetsQuery): Promise<BgmPreset[]> => {
const searchParams: Record<string, string> = {}
if (params?.category) searchParams.category = params.category
if (params?.keyword) searchParams.keyword = params.keyword
const res = await apiClient.get("/bgm/presets", { params: searchParams })
return res.data?.data ?? res.data ?? []
}
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@@ -1,14 +0,0 @@
/**
* BGM API
*/
import apiClient from "../client"
import type { BgmPreset, BgmPresetsQuery } from "./types"
/** 获取 BGM 预设列表 */
export const getBgmPresets = async (params?: BgmPresetsQuery): Promise<BgmPreset[]> => {
const searchParams: Record<string, string> = {}
if (params?.category) searchParams.category = params.category
if (params?.keyword) searchParams.keyword = params.keyword
const res = await apiClient.get("/bgm/presets", { params: searchParams })
return res.data?.data ?? res.data ?? []
}
-14
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@@ -1,14 +0,0 @@
/**
* BGM
*/
import type { BgmMixConfig } from "./types"
/** 默认 BGM 混音配置 */
export const DEFAULT_BGM_MIX_CONFIG: BgmMixConfig = {
enabled: false,
music_id: "",
volume: 50,
fade_in: 0.5,
fade_out: 0.5,
voice_dodge: true,
}
-13
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@@ -1,13 +0,0 @@
/**
* BGM API
* bgm.ts
*/
// 类型
export type { BgmCategory, BgmPreset, BgmPresetsQuery, BgmMixConfig } from "./types"
// 常量
export { DEFAULT_BGM_MIX_CONFIG } from "./constants"
// API 函数
export { getBgmPresets } from "./bgm"
-43
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@@ -1,43 +0,0 @@
/**
* BGM
*/
/** BGM 风格分类 */
export type BgmCategory = "轻快" | "治愈" | "科技" | "电商"
/** BGM 预设项 */
export interface BgmPreset {
id: string
name: string
category: BgmCategory
/** 音频文件 URL */
url: string
/** 时长(秒) */
duration: number
/** 关键词标签 */
tags: string[]
/** 封面图 URL */
cover_url?: string
}
/** BGM 预设列表查询参数 */
export interface BgmPresetsQuery {
category?: BgmCategory | string
keyword?: string
}
/** BGM 混音配置(嵌入模板) */
export interface BgmMixConfig {
/** 是否启用 BGM */
enabled: boolean
/** 选中的 BGM ID */
music_id: string
/** BGM 音量 0-100 */
volume: number
/** 淡入时长(秒) 0-3 */
fade_in: number
/** 淡出时长(秒) 0-3 */
fade_out: number
/** 人声闪避(sidechain */
voice_dodge: boolean
}
+9 -33
View File
@@ -5,8 +5,7 @@
import axios, { AxiosError, InternalAxiosRequestConfig } from "axios"
import { message } from "antd"
import { useAuthStore } from "@/store/authStore"
import { cancelProactiveRefresh, executeTokenRefresh } from "./auth/tokenRefresh"
import { refreshAccessToken } from "./auth"
// 创建 Axios 实例
const apiClient = axios.create({
@@ -58,21 +57,7 @@ apiClient.interceptors.response.use(
}
// 401 → 尝试刷新 Token
// 排除 auth 端点:登录/注册/找回密码的 401 是正常业务响应(如密码错误),
// 不应触发 token 刷新或登出跳转,走后面的错误提示逻辑即可
const requestUrl = originalRequest?.url || ""
const isAuthEndpoint =
requestUrl.includes("/auth/login") ||
requestUrl.includes("/auth/register") ||
requestUrl.includes("/auth/forgot-password") ||
requestUrl.includes("/auth/reset-password")
if (
error.response?.status === 401 &&
originalRequest &&
!originalRequest._retry &&
!isAuthEndpoint
) {
if (error.response?.status === 401 && originalRequest && !originalRequest._retry) {
const refreshToken = useAuthStore.getState().refreshToken
// 无 refresh_token → 直接登出
@@ -98,22 +83,14 @@ apiClient.interceptors.response.use(
isRefreshing = true
try {
// 使用共享的刷新函数(带并发锁 + 安全检查)
const refreshPromise = executeTokenRefresh()
if (!refreshPromise) {
// user 或 refreshToken 为空,无法刷新
cancelProactiveRefresh()
useAuthStore.getState().clearAuth()
window.location.href = "/"
return Promise.reject(new Error("Unable to refresh: missing user or refresh token"))
}
await refreshPromise
const data = await refreshAccessToken(refreshToken)
const newAccessToken = data.access_token
const newRefreshToken = data.refresh_token ?? refreshToken
// 获取刷新后的新 token
const newAccessToken = useAuthStore.getState().accessToken
if (!newAccessToken) {
return Promise.reject(new Error("Token refresh failed: no new access token"))
}
// 更新 Zustand + localStorage
useAuthStore
.getState()
.setAuth(useAuthStore.getState().user!, newAccessToken, newRefreshToken)
// 处理排队的请求
processQueue(null, newAccessToken)
@@ -125,7 +102,6 @@ apiClient.interceptors.response.use(
return apiClient(originalRequest)
} catch (refreshError) {
// 刷新失败 → 登出
cancelProactiveRefresh()
processQueue(refreshError, null)
useAuthStore.getState().clearAuth()
window.location.href = "/"
-53
View File
@@ -1,53 +0,0 @@
/**
* CRUD API
* : /api/v1/cover-templates
*/
import apiClient from "./client"
import type { CoverTemplate } from "@/pages/generate/types/cover"
export interface CoverTemplateListResponse {
items: CoverTemplate[]
total: number
}
export interface CoverTemplateCreateRequest {
name: string
config?: {
background_enabled?: boolean
background_color?: string
portrait_enabled?: boolean
title_text?: string
subtitle_text?: string
mask_enabled?: boolean
}
}
export type CoverTemplateUpdateRequest = Partial<CoverTemplateCreateRequest>
/** 获取封面模板列表 */
export async function fetchCoverTemplates(): Promise<CoverTemplateListResponse> {
const response = await apiClient.get<CoverTemplateListResponse>("/cover-templates")
return response.data
}
/** 创建封面模板 */
export async function createCoverTemplate(
data: CoverTemplateCreateRequest,
): Promise<CoverTemplate> {
const response = await apiClient.post<CoverTemplate>("/cover-templates", data)
return response.data
}
/** 更新封面模板 */
export async function updateCoverTemplate(
id: string,
data: CoverTemplateUpdateRequest,
): Promise<CoverTemplate> {
const response = await apiClient.put<CoverTemplate>(`/cover-templates/${id}`, data)
return response.data
}
/** 删除封面模板(系统模板不可删) */
export async function deleteCoverTemplate(id: string): Promise<void> {
await apiClient.delete(`/cover-templates/${id}`)
}
@@ -1,6 +1,8 @@
/**
*
* API
*
*/
import apiClient from "./client"
/** 查重记录状态 */
export type DuplicationStatus = "pending" | "processing" | "completed" | "failed"
@@ -60,3 +62,38 @@ export interface DuplicationUploadResponse {
/** 消息 */
message: string
}
// ============ API 函数 ============
/** 上传视频进行查重 */
export const uploadForDuplication = async (file: File): Promise<DuplicationUploadResponse> => {
const formData = new FormData()
formData.append("file", file)
const response = await apiClient.post("/duplication/upload", formData, {
headers: { "Content-Type": "multipart/form-data" },
})
return response.data
}
/** 获取查重记录列表 */
export const getDuplicationRecords = async (): Promise<DuplicationRecord[]> => {
const response = await apiClient.get("/duplication/records")
return response.data
}
/** 获取查重详情 */
export const getDuplicationDetail = async (recordId: string): Promise<DuplicationDetail> => {
const response = await apiClient.get(`/duplication/records/${recordId}`)
return response.data
}
/** 删除查重记录 */
export const deleteDuplicationRecord = async (recordId: string): Promise<void> => {
await apiClient.delete(`/duplication/records/${recordId}`)
}
/** 重新查重 */
export const retryDuplication = async (recordId: string): Promise<DuplicationUploadResponse> => {
const response = await apiClient.post(`/duplication/records/${recordId}/retry`)
return response.data
}
@@ -1,38 +0,0 @@
/**
* API
*/
import apiClient from "../client"
import type { DuplicationDetail, DuplicationRecord, DuplicationUploadResponse } from "./types"
/** 上传视频进行查重 */
export const uploadForDuplication = async (file: File): Promise<DuplicationUploadResponse> => {
const formData = new FormData()
formData.append("file", file)
const response = await apiClient.post("/duplication/upload", formData, {
headers: { "Content-Type": "multipart/form-data" },
})
return response.data
}
/** 获取查重记录列表 */
export const getDuplicationRecords = async (): Promise<DuplicationRecord[]> => {
const response = await apiClient.get("/duplication/records")
return response.data
}
/** 获取查重详情 */
export const getDuplicationDetail = async (recordId: string): Promise<DuplicationDetail> => {
const response = await apiClient.get(`/duplication/records/${recordId}`)
return response.data
}
/** 删除查重记录 */
export const deleteDuplicationRecord = async (recordId: string): Promise<void> => {
await apiClient.delete(`/duplication/records/${recordId}`)
}
/** 重新查重 */
export const retryDuplication = async (recordId: string): Promise<DuplicationUploadResponse> => {
const response = await apiClient.post(`/duplication/records/${recordId}/retry`)
return response.data
}

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