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18
.gitignore
vendored
18
.gitignore
vendored
@@ -20,11 +20,14 @@ node_modules/
|
||||
out/
|
||||
.turbo/
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||||
|
||||
# ============ IDE ============
|
||||
# ============ IDE / AI 工具 ============
|
||||
.vscode/
|
||||
.idea/
|
||||
*.swp
|
||||
*.swo
|
||||
.agents/
|
||||
.opencode/
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||||
.claude/
|
||||
|
||||
# ============ 系统文件 ============
|
||||
.DS_Store
|
||||
@@ -35,11 +38,22 @@ desktop.ini
|
||||
backend/outputs/
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||||
backend/uploads/
|
||||
backend/cookies/
|
||||
backend/user_data/
|
||||
backend/debug_screenshots/
|
||||
backend/keys/
|
||||
*_cookies.json
|
||||
|
||||
# ============ MuseTalk ============
|
||||
# ============ 模型权重 ============
|
||||
models/*/checkpoints/
|
||||
models/MuseTalk/models/
|
||||
models/MuseTalk/results/
|
||||
models/LatentSync/temp/
|
||||
|
||||
# ============ Remotion 构建 ============
|
||||
remotion/dist/
|
||||
|
||||
# ============ 临时文件 ============
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||||
Temp/
|
||||
|
||||
# ============ 日志 ============
|
||||
*.log
|
||||
|
||||
278
Docs/ALIPAY_DEPLOY.md
Normal file
278
Docs/ALIPAY_DEPLOY.md
Normal file
@@ -0,0 +1,278 @@
|
||||
# 支付宝付费开通会员 — 部署指南
|
||||
|
||||
本文档涵盖支付宝电脑网站支付功能的完整部署流程。用户注册后通过支付宝付费自动激活会员,有效期 1 年。
|
||||
|
||||
---
|
||||
|
||||
## 前置条件
|
||||
|
||||
- 支付宝企业/个体商户账号
|
||||
- 已在 [支付宝开放平台](https://open.alipay.com) 创建应用并获取 APPID
|
||||
- 应用已开通 **「电脑网站支付」** 产品权限(`alipay.trade.page.pay` 接口)
|
||||
- 服务器域名已配置 HTTPS(支付宝回调要求公网可达)
|
||||
|
||||
---
|
||||
|
||||
## 第一部分:支付宝开放平台配置
|
||||
|
||||
### 1. 创建应用
|
||||
|
||||
登录 https://open.alipay.com → 控制台 → 创建应用(或使用已有应用)。
|
||||
|
||||
### 2. 开通「电脑网站支付」产品
|
||||
|
||||
进入应用详情 → 产品绑定/产品管理 → 添加 **「电脑网站支付」** → 提交审核。
|
||||
|
||||
> **注意**:未开通此产品会导致 `ACQ.ACCESS_FORBIDDEN` 错误。
|
||||
|
||||
### 3. 生成密钥对
|
||||
|
||||
进入应用详情 → 开发设置 → 接口加签方式 → 选择 **RSA2(SHA256)**:
|
||||
|
||||
1. 使用支付宝官方密钥工具生成 RSA2048 密钥对
|
||||
2. 将 **应用公钥** 上传到开放平台
|
||||
3. 上传后平台会显示 **支付宝公钥**(`alipayPublicKey_RSA2`)
|
||||
|
||||
最终你会得到两样东西:
|
||||
- **应用私钥**:你本地保存,代码用来签名请求
|
||||
- **支付宝公钥**:平台返回给你,代码用来验证回调签名
|
||||
|
||||
> 应用公钥只是上传用的中间产物,代码中不需要。
|
||||
|
||||
---
|
||||
|
||||
## 第二部分:服务器配置
|
||||
|
||||
### 1. 放置密钥文件
|
||||
|
||||
将密钥保存为标准 PEM 格式,放到 `backend/keys/` 目录:
|
||||
|
||||
```bash
|
||||
mkdir -p /home/rongye/ProgramFiles/ViGent2/backend/keys
|
||||
```
|
||||
|
||||
**`backend/keys/app_private_key.pem`**(应用私钥):
|
||||
|
||||
```
|
||||
-----BEGIN PRIVATE KEY-----
|
||||
MIIEvQIBADANBgkqhkiG9w0BAQEFAASC...(你的私钥内容)
|
||||
...
|
||||
-----END PRIVATE KEY-----
|
||||
```
|
||||
|
||||
**`backend/keys/alipay_public_key.pem`**(支付宝公钥):
|
||||
|
||||
```
|
||||
-----BEGIN PUBLIC KEY-----
|
||||
MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8A...(支付宝公钥内容)
|
||||
...
|
||||
-----END PUBLIC KEY-----
|
||||
```
|
||||
|
||||
#### PEM 格式要求
|
||||
|
||||
支付宝密钥工具导出的是一行纯文本,需要转换为标准 PEM 格式:
|
||||
|
||||
- 必须有头尾标记(`-----BEGIN/END ...-----`)
|
||||
- 密钥内容每 64 字符换行
|
||||
- 私钥头标记为 `-----BEGIN PRIVATE KEY-----`(PKCS#8 格式)
|
||||
- 公钥头标记为 `-----BEGIN PUBLIC KEY-----`
|
||||
|
||||
如果你拿到的是一行裸密钥,用以下命令转换:
|
||||
|
||||
```bash
|
||||
# 私钥格式化(假设裸密钥在 raw_private.txt 中)
|
||||
echo "-----BEGIN PRIVATE KEY-----" > app_private_key.pem
|
||||
cat raw_private.txt | fold -w 64 >> app_private_key.pem
|
||||
echo "-----END PRIVATE KEY-----" >> app_private_key.pem
|
||||
|
||||
# 公钥格式化
|
||||
echo "-----BEGIN PUBLIC KEY-----" > alipay_public_key.pem
|
||||
cat raw_public.txt | fold -w 64 >> alipay_public_key.pem
|
||||
echo "-----END PUBLIC KEY-----" >> alipay_public_key.pem
|
||||
```
|
||||
|
||||
> `backend/keys/` 目录已加入 `.gitignore`,不会被提交到仓库。
|
||||
|
||||
### 2. 配置环境变量
|
||||
|
||||
在 `backend/.env` 中添加:
|
||||
|
||||
```ini
|
||||
# =============== 支付宝配置 ===============
|
||||
ALIPAY_APP_ID=你的应用APPID
|
||||
ALIPAY_PRIVATE_KEY_PATH=/home/rongye/ProgramFiles/ViGent2/backend/keys/app_private_key.pem
|
||||
ALIPAY_PUBLIC_KEY_PATH=/home/rongye/ProgramFiles/ViGent2/backend/keys/alipay_public_key.pem
|
||||
ALIPAY_NOTIFY_URL=https://vigent.hbyrkj.top/api/payment/notify
|
||||
ALIPAY_RETURN_URL=https://vigent.hbyrkj.top/pay
|
||||
```
|
||||
|
||||
| 变量 | 说明 |
|
||||
|------|------|
|
||||
| `ALIPAY_APP_ID` | 支付宝开放平台应用 APPID |
|
||||
| `ALIPAY_PRIVATE_KEY_PATH` | 应用私钥 PEM 文件绝对路径 |
|
||||
| `ALIPAY_PUBLIC_KEY_PATH` | 支付宝公钥 PEM 文件绝对路径 |
|
||||
| `ALIPAY_NOTIFY_URL` | 异步回调地址(服务器间通信),必须公网 HTTPS 可达 |
|
||||
| `ALIPAY_RETURN_URL` | 同步跳转地址(用户支付完成后浏览器跳转回的页面) |
|
||||
|
||||
`config.py` 中还有几个可调参数(已有默认值,一般不需要加到 .env):
|
||||
|
||||
| 变量 | 默认值 | 说明 |
|
||||
|------|--------|------|
|
||||
| `ALIPAY_SANDBOX` | `false` | 是否使用沙箱环境 |
|
||||
| `PAYMENT_AMOUNT` | `999.00` | 会员价格(元) |
|
||||
| `PAYMENT_EXPIRE_DAYS` | `365` | 会员有效天数 |
|
||||
|
||||
### 3. 创建数据库表
|
||||
|
||||
通过 Docker 在本地 Supabase 中执行:
|
||||
|
||||
```bash
|
||||
docker exec -i supabase-db psql -U postgres -c "
|
||||
CREATE TABLE IF NOT EXISTS orders (
|
||||
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
|
||||
user_id UUID REFERENCES users(id) ON DELETE CASCADE,
|
||||
out_trade_no TEXT UNIQUE NOT NULL,
|
||||
amount DECIMAL(10, 2) NOT NULL DEFAULT 999.00,
|
||||
status TEXT DEFAULT 'pending' CHECK (status IN ('pending', 'paid', 'failed')),
|
||||
trade_no TEXT,
|
||||
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
|
||||
paid_at TIMESTAMP WITH TIME ZONE
|
||||
);
|
||||
|
||||
CREATE INDEX IF NOT EXISTS idx_orders_user_id ON orders(user_id);
|
||||
CREATE INDEX IF NOT EXISTS idx_orders_out_trade_no ON orders(out_trade_no);
|
||||
"
|
||||
```
|
||||
|
||||
### 4. 安装依赖
|
||||
|
||||
```bash
|
||||
# 后端(在 venv 中)
|
||||
cd /home/rongye/ProgramFiles/ViGent2/backend
|
||||
venv/bin/pip install python-alipay-sdk
|
||||
```
|
||||
|
||||
> 前端无额外依赖需要安装。
|
||||
|
||||
### 5. Nginx 配置
|
||||
|
||||
确保 Nginx 将 `/api/payment/notify` 代理到后端。如果现有配置已覆盖 `/api/` 前缀,则无需额外修改:
|
||||
|
||||
```nginx
|
||||
location /api/ {
|
||||
proxy_pass http://localhost:8006;
|
||||
# ... 现有配置
|
||||
}
|
||||
```
|
||||
|
||||
### 6. 重启服务
|
||||
|
||||
```bash
|
||||
# 构建前端
|
||||
cd /home/rongye/ProgramFiles/ViGent2/frontend
|
||||
npx next build
|
||||
|
||||
# 重启
|
||||
pm2 restart vigent2-backend
|
||||
pm2 restart vigent2-frontend
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 第三部分:正式上线
|
||||
|
||||
测试通过后,将 `backend/app/core/config.py` 中的测试金额改为正式价格:
|
||||
|
||||
```python
|
||||
PAYMENT_AMOUNT: float = 999.00 # 正式价格
|
||||
```
|
||||
|
||||
或在 `backend/.env` 中添加覆盖:
|
||||
|
||||
```ini
|
||||
PAYMENT_AMOUNT=999.00
|
||||
```
|
||||
|
||||
然后重启后端:
|
||||
|
||||
```bash
|
||||
pm2 restart vigent2-backend
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 支付流程说明
|
||||
|
||||
```
|
||||
用户注册 → 登录(密码正确但 is_active=false)
|
||||
→ 后端返回 403 + payment_token
|
||||
→ 前端跳转 /pay 页面
|
||||
→ POST /api/payment/create-order → 返回支付宝收银台 URL
|
||||
→ 前端重定向到支付宝收银台页面(支持扫码、账号登录、余额等多种支付方式)
|
||||
→ 用户完成支付
|
||||
→ 支付宝异步回调 POST /api/payment/notify
|
||||
→ 后端验签 → 更新订单 → 激活用户(is_active=true, expires_at=+365天)
|
||||
→ 支付宝同步跳转回 /pay?out_trade_no=xxx
|
||||
→ 前端轮询 GET /api/payment/status/{out_trade_no}
|
||||
→ 轮询到 paid → 提示成功 → 跳转登录页
|
||||
→ 用户重新登录 → 成功进入系统
|
||||
```
|
||||
|
||||
**电脑网站支付 vs 当面付**:电脑网站支付(`alipay.trade.page.pay`)会跳转到支付宝官方收银台页面,用户可以选择扫码、支付宝账号登录、余额等多种方式支付,体验更好。当面付(`alipay.trade.precreate`)仅生成一个二维码,只能扫码支付。
|
||||
|
||||
会员到期续费同流程:登录时检测到过期 → 返回 PAYMENT_REQUIRED → 跳转 /pay。
|
||||
|
||||
管理员手动激活功能不受影响,两种方式并存。
|
||||
|
||||
---
|
||||
|
||||
## 涉及文件
|
||||
|
||||
| 文件 | 变更类型 | 说明 |
|
||||
|------|---------|------|
|
||||
| `backend/requirements.txt` | 修改 | 添加 `python-alipay-sdk` |
|
||||
| `backend/database/schema.sql` | 修改 | 新增 `orders` 表 |
|
||||
| `backend/app/core/config.py` | 修改 | 支付宝配置项 |
|
||||
| `backend/app/core/security.py` | 修改 | payment_token 函数 |
|
||||
| `backend/app/core/deps.py` | 修改 | is_active 安全兜底 |
|
||||
| `backend/app/repositories/orders.py` | 新建 | orders 数据层 |
|
||||
| `backend/app/modules/payment/__init__.py` | 新建 | 模块初始化 |
|
||||
| `backend/app/modules/payment/schemas.py` | 新建 | 请求/响应模型 |
|
||||
| `backend/app/modules/payment/service.py` | 新建 | 支付业务逻辑(电脑网站支付) |
|
||||
| `backend/app/modules/payment/router.py` | 新建 | 3 个 API 端点 |
|
||||
| `backend/app/modules/auth/router.py` | 修改 | 登录返回 PAYMENT_REQUIRED |
|
||||
| `backend/app/main.py` | 修改 | 注册 payment_router |
|
||||
| `backend/.env` | 修改 | 支付宝环境变量 |
|
||||
| `backend/keys/` | 新建 | PEM 密钥文件 |
|
||||
| `frontend/src/shared/lib/auth.ts` | 修改 | login() 处理 paymentToken |
|
||||
| `frontend/src/shared/api/axios.ts` | 修改 | PUBLIC_PATHS 加 /pay |
|
||||
| `frontend/src/app/login/page.tsx` | 修改 | paymentToken 跳转 |
|
||||
| `frontend/src/app/register/page.tsx` | 修改 | 注册成功提示文案 |
|
||||
| `frontend/src/app/pay/page.tsx` | 新建 | 付费页面(重定向到支付宝收银台) |
|
||||
|
||||
---
|
||||
|
||||
## 常见问题
|
||||
|
||||
### RSA key format is not supported
|
||||
|
||||
密钥文件缺少 PEM 头尾标记或未按 64 字符换行。参考「PEM 格式要求」重新格式化。
|
||||
|
||||
### ACQ.ACCESS_FORBIDDEN
|
||||
|
||||
应用未开通「电脑网站支付」产品。在支付宝开放平台 → 应用详情 → 产品管理中添加并开通。
|
||||
|
||||
### 支付宝回调不到
|
||||
|
||||
1. 检查 `ALIPAY_NOTIFY_URL` 是否公网 HTTPS 可达
|
||||
2. 检查 Nginx 是否将 `/api/payment/notify` 代理到后端
|
||||
3. 支付宝回调超时(15s 未响应)会重试,共重试 8 次,持续 24 小时
|
||||
|
||||
### 支付完成后页面未跳转回来
|
||||
|
||||
检查 `ALIPAY_RETURN_URL` 配置是否正确,必须是前端 `/pay` 页面的完整 URL(如 `https://vigent.hbyrkj.top/pay`)。支付宝会在用户支付完成后将浏览器重定向到此地址,并附带 `out_trade_no` 等参数。
|
||||
|
||||
### 前端显示"网络错误"而非具体错误
|
||||
|
||||
API 函数缺少 try/catch 捕获 axios 异常。已在 `auth.ts` 的 `register()` 和 `login()` 中修复。
|
||||
@@ -19,7 +19,6 @@
|
||||
- **repositories/**:数据读写(Supabase),不包含业务逻辑。
|
||||
- **services/**:外部依赖与基础能力(TTS、Storage、Remotion 等)。
|
||||
- **core/**:配置、安全、依赖注入、统一响应。
|
||||
- **api/**:仅做 router 透传,保持 `/api/*` 路由稳定。
|
||||
|
||||
---
|
||||
|
||||
@@ -28,18 +27,31 @@
|
||||
```
|
||||
backend/
|
||||
├── app/
|
||||
│ ├── api/ # 兼容路由入口,透传到 modules
|
||||
│ ├── core/ # config、deps、security、response
|
||||
│ ├── modules/ # 业务模块
|
||||
│ │ ├── videos/
|
||||
│ │ ├── materials/
|
||||
│ │ ├── publish/
|
||||
│ │ ├── auth/
|
||||
│ │ └── ...
|
||||
│ ├── modules/ # 业务模块(路由 + 逻辑)
|
||||
│ │ ├── videos/ # 视频生成任务(router/schemas/service/workflow)
|
||||
│ │ ├── materials/ # 素材管理(router/schemas/service)
|
||||
│ │ ├── publish/ # 多平台发布
|
||||
│ │ ├── auth/ # 认证与会话
|
||||
│ │ ├── ai/ # AI 功能(标题标签生成、多语言翻译)
|
||||
│ │ ├── assets/ # 静态资源(字体/样式/BGM)
|
||||
│ │ ├── ref_audios/ # 声音克隆参考音频(router/schemas/service)
|
||||
│ │ ├── generated_audios/ # 预生成配音管理(router/schemas/service)
|
||||
│ │ ├── login_helper/ # 扫码登录辅助
|
||||
│ │ ├── tools/ # 工具接口(router/schemas/service)
|
||||
│ │ ├── payment/ # 支付宝付费开通(router/schemas/service)
|
||||
│ │ └── admin/ # 管理员功能
|
||||
│ ├── repositories/ # Supabase 数据访问
|
||||
│ ├── services/ # 外部服务集成
|
||||
│ │ ├── uploader/ # 平台发布器(douyin/weixin)
|
||||
│ │ ├── qr_login_service.py
|
||||
│ │ ├── publish_service.py
|
||||
│ │ ├── remotion_service.py
|
||||
│ │ ├── storage.py
|
||||
│ │ └── ...
|
||||
│ └── tests/
|
||||
├── assets/ # 字体 / 样式 / bgm
|
||||
├── user_data/ # 用户隔离数据(Cookie 等)
|
||||
├── scripts/
|
||||
└── requirements.txt
|
||||
```
|
||||
@@ -63,6 +75,18 @@ backend/
|
||||
- 错误通过 `HTTPException` 抛出,统一由全局异常处理返回 `{success:false, message, code}`。
|
||||
- 不再使用 `detail` 作为前端错误文案(前端已改为读 `message`)。
|
||||
|
||||
### `/api/videos/generate` 参数契约(关键约定)
|
||||
|
||||
- `custom_assignments` 每项使用 `material_path/start/end/source_start/source_end?`,并以时间轴可见段为准。
|
||||
- `output_aspect_ratio` 仅允许 `9:16` / `16:9`,默认 `9:16`。
|
||||
- 标题显示模式参数:
|
||||
- `title_display_mode`: `short` / `persistent`(默认 `short`)
|
||||
- `title_duration`: 默认 `4.0`(秒),仅 `short` 模式生效
|
||||
- 片头副标题参数:
|
||||
- `secondary_title`: 副标题文字(可选,限 20 字),仅在视频画面中显示,不参与发布标题
|
||||
- `secondary_title_style_id` / `secondary_title_font_size` / `secondary_title_top_margin`: 副标题样式配置
|
||||
- workflow/remotion 侧需保持字段透传一致,避免前后端语义漂移。
|
||||
|
||||
---
|
||||
|
||||
## 4. 认证与权限
|
||||
@@ -86,6 +110,21 @@ backend/
|
||||
- 所有文件上传/下载/删除/移动通过 `services/storage.py`。
|
||||
- 需要重命名时使用 `move_file`,避免直接读写 Storage。
|
||||
|
||||
### Cookie 存储(用户隔离)
|
||||
|
||||
多平台扫码登录产生的 Cookie 按用户隔离存储:
|
||||
|
||||
```
|
||||
backend/user_data/{user_uuid}/cookies/
|
||||
├── douyin_cookies.json
|
||||
├── weixin_cookies.json
|
||||
└── ...
|
||||
```
|
||||
|
||||
- `publish_service.py` 中通过 `_get_cookies_dir(user_id)` / `_get_cookie_path(user_id, platform)` 定位
|
||||
- 会话 key 格式:`"{user_id}_{platform}"`,确保多用户并发登录互不干扰
|
||||
- 登录成功后 Cookie 自动保存到对应路径,发布时自动加载
|
||||
|
||||
---
|
||||
|
||||
## 7. 代码约定
|
||||
@@ -99,10 +138,13 @@ backend/
|
||||
|
||||
## 8. 开发流程建议
|
||||
|
||||
- **新增功能**:先建模块,再写 router/service/workflow。
|
||||
- **修复 Bug**:顺手把涉及的逻辑抽到对应 service/workflow。
|
||||
- **新增功能**:先建模块,**必须**包含 `router.py + schemas.py + service.py`,不允许 router-only。
|
||||
- **修复 Bug**:顺手把涉及的逻辑抽到对应 service/workflow(渐进式改造)。
|
||||
- **改旧模块**:改动哪部分就拆哪部分,不要求一次重构整个文件。
|
||||
- **核心流程变更**:必跑冒烟(登录/生成/发布)。
|
||||
|
||||
> **渐进原则**:新代码高标准,旧代码逐步改。不做大规模一次性重构,避免引入回归风险。
|
||||
|
||||
---
|
||||
|
||||
## 9. 常用环境变量
|
||||
@@ -112,14 +154,29 @@ backend/
|
||||
- `REDIS_URL`
|
||||
- `GLM_API_KEY`
|
||||
- `LATENTSYNC_*`
|
||||
- `CORS_ORIGINS` (CORS 白名单,默认 *)
|
||||
|
||||
### 微信视频号
|
||||
- `WEIXIN_HEADLESS_MODE` (headful/headless-new)
|
||||
- `WEIXIN_CHROME_PATH` / `WEIXIN_BROWSER_CHANNEL`
|
||||
- `WEIXIN_USER_AGENT` / `WEIXIN_LOCALE` / `WEIXIN_TIMEZONE_ID`
|
||||
- `WEIXIN_FORCE_SWIFTSHADER`
|
||||
- `WEIXIN_TRANSCODE_MODE` (reencode/faststart/off)
|
||||
- `CORS_ORIGINS` (CORS 白名单,默认 *)
|
||||
- `SUPABASE_STORAGE_LOCAL_PATH` (本地存储路径)
|
||||
- `DOUYIN_COOKIE` (抖音视频下载 Cookie)
|
||||
|
||||
### 抖音
|
||||
- `DOUYIN_HEADLESS_MODE` (headful/headless-new,默认 headless-new)
|
||||
- `DOUYIN_CHROME_PATH` / `DOUYIN_BROWSER_CHANNEL`
|
||||
- `DOUYIN_USER_AGENT` (默认 Chrome/144)
|
||||
- `DOUYIN_LOCALE` / `DOUYIN_TIMEZONE_ID`
|
||||
- `DOUYIN_FORCE_SWIFTSHADER`
|
||||
- `DOUYIN_DEBUG_ARTIFACTS` / `DOUYIN_RECORD_VIDEO` / `DOUYIN_KEEP_SUCCESS_VIDEO`
|
||||
|
||||
### 支付宝
|
||||
- `ALIPAY_APP_ID` / `ALIPAY_PRIVATE_KEY_PATH` / `ALIPAY_PUBLIC_KEY_PATH`
|
||||
- `ALIPAY_NOTIFY_URL` / `ALIPAY_RETURN_URL`
|
||||
- `ALIPAY_SANDBOX` (沙箱模式,默认 false)
|
||||
- `PAYMENT_AMOUNT` (会员价格,默认 999.00)
|
||||
- `PAYMENT_EXPIRE_DAYS` (会员有效天数,默认 365)
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -13,14 +13,26 @@
|
||||
```
|
||||
backend/
|
||||
├── app/
|
||||
│ ├── api/ # 兼容路由入口 (透传到 modules)
|
||||
│ ├── core/ # 核心配置 (config.py, security.py, response.py)
|
||||
│ ├── modules/ # 业务模块 (router/service/workflow/schemas)
|
||||
│ │ ├── videos/ # 视频生成任务(router/schemas/service/workflow)
|
||||
│ │ ├── materials/ # 素材管理(router/schemas/service)
|
||||
│ │ ├── publish/ # 多平台发布
|
||||
│ │ ├── auth/ # 认证与会话
|
||||
│ │ ├── ai/ # AI 功能(标题标签生成、多语言翻译)
|
||||
│ │ ├── assets/ # 静态资源(字体/样式/BGM)
|
||||
│ │ ├── ref_audios/ # 声音克隆参考音频(router/schemas/service)
|
||||
│ │ ├── generated_audios/ # 预生成配音管理(router/schemas/service)
|
||||
│ │ ├── login_helper/ # 扫码登录辅助
|
||||
│ │ ├── tools/ # 工具接口(router/schemas/service)
|
||||
│ │ ├── payment/ # 支付宝付费开通(router/schemas/service)
|
||||
│ │ └── admin/ # 管理员功能
|
||||
│ ├── repositories/ # Supabase 数据访问
|
||||
│ ├── services/ # 外部服务集成 (TTS/Remotion/Storage 等)
|
||||
│ ├── services/ # 外部服务集成 (TTS/Remotion/Storage/Uploader 等)
|
||||
│ └── tests/ # 单元测试与集成测试
|
||||
├── scripts/ # 运维脚本 (watchdog.py, init_db.py)
|
||||
├── assets/ # 资源库 (fonts, bgm, styles)
|
||||
├── user_data/ # 用户隔离数据 (Cookie 等)
|
||||
└── requirements.txt # 依赖清单
|
||||
```
|
||||
|
||||
@@ -40,14 +52,15 @@ backend/
|
||||
* `POST /api/auth/register`: 用户注册
|
||||
* `GET /api/auth/me`: 获取当前用户信息
|
||||
|
||||
> 授权有效期策略:在登录与受保护接口鉴权时,后端会检查 `users.expires_at`。账号到期会自动停用 (`is_active=false`) 并清理 session,返回 `403: 会员已到期,请续费`。
|
||||
|
||||
2. **视频生成 (Videos)**
|
||||
* `POST /api/videos/generate`: 提交生成任务
|
||||
* `GET /api/videos/tasks/{task_id}`: 查询任务状态
|
||||
* `GET /api/videos/tasks/{task_id}`: 查询单个任务状态
|
||||
* `GET /api/videos/tasks`: 获取用户所有任务列表
|
||||
* `GET /api/videos/generated`: 获取历史视频列表
|
||||
* `DELETE /api/videos/generated/{video_id}`: 删除历史视频
|
||||
|
||||
> **修正 (16:20)**:任务查询与历史列表接口已更新为 `/api/videos/tasks/{task_id}` 与 `/api/videos/generated`。
|
||||
|
||||
3. **素材管理 (Materials)**
|
||||
* `POST /api/materials`: 上传素材
|
||||
* `GET /api/materials`: 获取素材列表
|
||||
@@ -55,14 +68,49 @@ backend/
|
||||
|
||||
4. **社交发布 (Publish)**
|
||||
* `POST /api/publish`: 发布视频到 抖音/微信视频号/B站/小红书
|
||||
* `POST /api/publish/login`: 扫码登录平台
|
||||
* `GET /api/publish/login/status`: 查询登录状态(含刷脸验证二维码)
|
||||
* `GET /api/publish/accounts`: 获取已登录账号列表
|
||||
|
||||
> 提示:视频号发布建议使用 headful + xvfb-run 运行后端,避免 headless 解码失败。
|
||||
> 提示:视频号/抖音发布建议使用 headful + xvfb-run 运行后端。
|
||||
|
||||
5. **资源库 (Assets)**
|
||||
* `GET /api/assets/subtitle-styles`: 字幕样式列表
|
||||
* `GET /api/assets/title-styles`: 标题样式列表
|
||||
* `GET /api/assets/bgm`: 背景音乐列表
|
||||
|
||||
6. **声音克隆 (Ref Audios)**
|
||||
* `POST /api/ref-audios`: 上传参考音频 (multipart/form-data,自动 Whisper 转写 ref_text)
|
||||
* `GET /api/ref-audios`: 获取参考音频列表
|
||||
* `PUT /api/ref-audios/{id}`: 重命名参考音频
|
||||
* `DELETE /api/ref-audios/{id}`: 删除参考音频
|
||||
* `POST /api/ref-audios/{id}/retranscribe`: 重新识别参考音频文字(Whisper 转写 + 超 10s 自动截取)
|
||||
|
||||
7. **AI 功能 (AI)**
|
||||
* `POST /api/ai/generate-meta`: AI 生成标题和标签
|
||||
* `POST /api/ai/translate`: AI 多语言翻译(支持 9 种目标语言)
|
||||
|
||||
8. **预生成配音 (Generated Audios)**
|
||||
* `POST /api/generated-audios/generate`: 异步生成配音(返回 task_id)
|
||||
* `GET /api/generated-audios/tasks/{task_id}`: 轮询生成进度
|
||||
* `GET /api/generated-audios`: 列出用户所有配音
|
||||
* `DELETE /api/generated-audios/{audio_id}`: 删除配音
|
||||
* `PUT /api/generated-audios/{audio_id}`: 重命名配音
|
||||
|
||||
9. **工具 (Tools)**
|
||||
* `POST /api/tools/extract-script`: 从视频链接提取文案
|
||||
|
||||
10. **健康检查**
|
||||
* `GET /api/lipsync/health`: LatentSync 服务健康状态
|
||||
* `GET /api/voiceclone/health`: CosyVoice 3.0 服务健康状态
|
||||
|
||||
11. **支付 (Payment)**
|
||||
* `POST /api/payment/create-order`: 创建支付宝电脑网站支付订单(需 payment_token)
|
||||
* `POST /api/payment/notify`: 支付宝异步通知回调(返回纯文本 success/fail)
|
||||
* `GET /api/payment/status/{out_trade_no}`: 查询订单支付状态(前端轮询)
|
||||
|
||||
> 登录时若账号未激活或已过期,返回 403 + `payment_token`,前端跳转 `/pay` 页面完成付费。详见 [支付宝部署指南](ALIPAY_DEPLOY.md)。
|
||||
|
||||
### 统一响应结构
|
||||
|
||||
```json
|
||||
@@ -80,13 +128,39 @@ backend/
|
||||
|
||||
`POST /api/videos/generate` 支持以下可选字段:
|
||||
|
||||
- `material_path`: 视频素材路径(单素材模式)
|
||||
- `material_paths`: 多素材路径数组(多机位模式,≥2 个素材时按句子自动切换)
|
||||
- `tts_mode`: TTS 模式 (`edgetts` / `voiceclone`)
|
||||
- `voice`: EdgeTTS 音色 ID(edgetts 模式)
|
||||
- `ref_audio_id` / `ref_text`: 参考音频 ID 与文本(voiceclone 模式)
|
||||
- `generated_audio_id`: 预生成配音 ID(存在时跳过内联 TTS,使用已生成的配音文件)
|
||||
- `speed`: 语速(声音克隆模式,默认 1.0,范围 0.8-1.2)
|
||||
- `custom_assignments`: 自定义素材分配数组(每项含 `material_path` / `start` / `end` / `source_start` / `source_end?`),存在时优先按时间轴可见段生成
|
||||
- `output_aspect_ratio`: 输出画面比例(`9:16` 或 `16:9`,默认 `9:16`)
|
||||
- `language`: TTS 语言(默认自动检测,声音克隆时透传给 CosyVoice 3.0)
|
||||
- `title`: 片头标题文字
|
||||
- `title_display_mode`: 标题显示模式(`short` / `persistent`,默认 `short`)
|
||||
- `title_duration`: 标题显示时长(秒,默认 `4.0`;`short` 模式生效)
|
||||
- `subtitle_style_id`: 字幕样式 ID
|
||||
- `title_style_id`: 标题样式 ID
|
||||
- `subtitle_font_size`: 字幕字号(覆盖样式默认值)
|
||||
- `title_font_size`: 标题字号(覆盖样式默认值)
|
||||
- `title_top_margin`: 标题距顶部像素
|
||||
- `secondary_title`: 片头副标题文字(可选,限 20 字,仅视频画面显示)
|
||||
- `secondary_title_style_id`: 副标题样式 ID
|
||||
- `secondary_title_font_size`: 副标题字号
|
||||
- `secondary_title_top_margin`: 副标题距主标题间距
|
||||
- `subtitle_bottom_margin`: 字幕距底部像素
|
||||
- `enable_subtitles`: 是否启用字幕
|
||||
- `bgm_id`: 背景音乐 ID
|
||||
- `bgm_volume`: 背景音乐音量(0-1,默认 0.2)
|
||||
|
||||
### 多素材稳定性说明
|
||||
|
||||
- 多素材片段在拼接前统一重编码,并强制 `25fps + CFR`,减少段边界时间基不一致导致的画面卡顿。
|
||||
- concat 流程启用 `+genpts` 重建时间戳,提升拼接后时间轴连续性。
|
||||
- 对带旋转元数据的 MOV 素材会先做方向归一化,再进入分辨率判断和后续流程。
|
||||
|
||||
## 📦 资源库与静态资源
|
||||
|
||||
- 本地资源目录:`backend/assets/{fonts,bgm,styles}`
|
||||
@@ -148,7 +222,7 @@ uvicorn app.main:app --host 0.0.0.0 --port 8006 --reload
|
||||
1. 在 `app/services/` 下创建新的 Service 类 (如 `NewTTSService`)。
|
||||
2. 实现 `generate` 方法,可以使用 subprocess 调用,也可以是 HTTP 请求。
|
||||
3. **重要**: 如果模型占用 GPU,请务必使用 `asyncio.Lock` 进行并发控制,防止 OOM。
|
||||
4. 在 `app/api/` 中添加对应的路由调用。
|
||||
4. 在 `app/modules/` 下创建对应模块,添加 router/service/schemas,并在 `main.py` 注册路由。
|
||||
|
||||
### 添加定时任务
|
||||
|
||||
|
||||
211
Docs/COSYVOICE3_DEPLOY.md
Normal file
211
Docs/COSYVOICE3_DEPLOY.md
Normal file
@@ -0,0 +1,211 @@
|
||||
# CosyVoice 3.0 部署文档
|
||||
|
||||
## 概览
|
||||
|
||||
| 项目 | 值 |
|
||||
|------|------|
|
||||
| 模型 | Fun-CosyVoice3-0.5B-2512 (0.5B 参数) |
|
||||
| 端口 | 8010 |
|
||||
| GPU | 0 (CUDA_VISIBLE_DEVICES=0) |
|
||||
| PM2 名称 | vigent2-cosyvoice (id=15) |
|
||||
| Conda 环境 | cosyvoice (Python 3.10) |
|
||||
| 启动脚本 | `run_cosyvoice.sh` |
|
||||
| 服务脚本 | `models/CosyVoice/cosyvoice_server.py` |
|
||||
| 模型加载时间 | ~22-34 秒 |
|
||||
| 显存占用 | ~3-5 GB |
|
||||
|
||||
## 支持语言
|
||||
|
||||
中文、英文、日语、韩语、德语、西班牙语、法语、意大利语、俄语,18+ 中国方言
|
||||
|
||||
## 目录结构
|
||||
|
||||
```
|
||||
models/CosyVoice/
|
||||
├── cosyvoice_server.py # FastAPI 服务 (端口 8010)
|
||||
├── cosyvoice/ # CosyVoice 源码
|
||||
│ └── cli/cosyvoice.py # AutoModel 入口
|
||||
├── third_party/Matcha-TTS/ # 子模块依赖
|
||||
├── pretrained_models/
|
||||
│ ├── Fun-CosyVoice3-0.5B/ # 模型文件 (~8.2GB)
|
||||
│ │ ├── llm.pt # LLM 模型 (1.9GB)
|
||||
│ │ ├── llm.rl.pt # RL 模型 (1.9GB, 备用)
|
||||
│ │ ├── flow.pt # Flow 模型 (1.3GB)
|
||||
│ │ ├── hift.pt # HiFT 声码器 (80MB)
|
||||
│ │ ├── campplus.onnx # 说话人嵌入 (27MB)
|
||||
│ │ ├── speech_tokenizer_v3.onnx # 语音分词器 (925MB)
|
||||
│ │ ├── cosyvoice3.yaml # 模型配置
|
||||
│ │ └── CosyVoice-BlankEN/ # Qwen tokenizer
|
||||
│ └── CosyVoice-ttsfrd/ # 文本正则化资源
|
||||
│ ├── resource/ # 解压后的 ttsfrd 资源
|
||||
│ └── resource.zip
|
||||
run_cosyvoice.sh # PM2 启动脚本
|
||||
```
|
||||
|
||||
## API 接口
|
||||
|
||||
### GET /health
|
||||
|
||||
健康检查,返回:
|
||||
```json
|
||||
{
|
||||
"service": "CosyVoice 3.0 Voice Clone",
|
||||
"model": "Fun-CosyVoice3-0.5B",
|
||||
"ready": true,
|
||||
"gpu_id": 0
|
||||
}
|
||||
```
|
||||
|
||||
### POST /generate
|
||||
|
||||
声音克隆生成。
|
||||
|
||||
**参数 (multipart/form-data):**
|
||||
|
||||
| 参数 | 类型 | 必填 | 说明 |
|
||||
|------|------|------|------|
|
||||
| ref_audio | File | 是 | 参考音频 (WAV) |
|
||||
| text | string | 是 | 要合成的文本 |
|
||||
| ref_text | string | 是 | 参考音频的转写文字 |
|
||||
| language | string | 否 | 语言 (默认 "Chinese",CosyVoice 自动检测) |
|
||||
| speed | float | 否 | 语速 (默认 1.0,范围 0.5-2.0,建议 0.8-1.2) |
|
||||
|
||||
**返回:** WAV 音频文件
|
||||
|
||||
**状态码:**
|
||||
- 200: 成功
|
||||
- 429: GPU 忙,请重试
|
||||
- 500: 生成失败/超时
|
||||
- 503: 模型未加载/服务中毒
|
||||
|
||||
## 安全机制
|
||||
|
||||
1. **GPU 推理锁** (`asyncio.Lock`): 防止并发推理导致 GPU 状态损坏
|
||||
2. **429 拒绝**: 锁被占用时立即返回 429,客户端重试
|
||||
3. **超时保护**: `60 + len(text) * 2` 秒,上限 300 秒
|
||||
4. **Poisoned 标记**: 超时后标记服务为中毒状态,健康检查返回 `ready: false`
|
||||
5. **强制退出**: 超时后 1.5 秒强制 `os._exit(1)`,PM2 自动重启
|
||||
6. **启动自检**: 启动时用短文本做一次真实推理,验证 GPU 推理链路可用;失败则 `_model_loaded = False`,健康检查返回 `ready: false`,避免假阳性
|
||||
7. **参考音频自动截取**: 参考音频超过 10 秒时自动截取前 10 秒(CosyVoice 建议 3-10 秒),避免采样异常
|
||||
|
||||
## 运维命令
|
||||
|
||||
```bash
|
||||
# 启动
|
||||
pm2 start run_cosyvoice.sh --name vigent2-cosyvoice
|
||||
|
||||
# 重启
|
||||
pm2 restart vigent2-cosyvoice
|
||||
|
||||
# 查看日志
|
||||
pm2 logs vigent2-cosyvoice --lines 50
|
||||
|
||||
# 健康检查
|
||||
curl http://localhost:8010/health
|
||||
|
||||
# 停止
|
||||
pm2 stop vigent2-cosyvoice
|
||||
```
|
||||
|
||||
## 从零部署步骤
|
||||
|
||||
### 1. 克隆仓库
|
||||
|
||||
```bash
|
||||
cd /home/rongye/ProgramFiles/ViGent2/models
|
||||
git clone --recursive https://github.com/FunAudioLLM/CosyVoice.git
|
||||
cd CosyVoice
|
||||
git submodule update --init --recursive
|
||||
```
|
||||
|
||||
### 2. 创建 Conda 环境
|
||||
|
||||
```bash
|
||||
conda create -n cosyvoice -y python=3.10
|
||||
conda activate cosyvoice
|
||||
```
|
||||
|
||||
### 3. 安装依赖
|
||||
|
||||
注意:不能直接 `pip install -r requirements.txt`,有版本冲突需要处理。
|
||||
|
||||
```bash
|
||||
# 安装 PyTorch 2.3.1 (CUDA 12.1) — 必须先装,版本严格要求
|
||||
pip install torch==2.3.1 torchaudio==2.3.1 --index-url https://download.pytorch.org/whl/cu121
|
||||
|
||||
# 核心推理依赖
|
||||
pip install conformer==0.3.2 HyperPyYAML==1.2.2 inflect==7.3.1 \
|
||||
librosa==0.10.2 lightning==2.2.4 modelscope==1.20.0 omegaconf==2.3.0 \
|
||||
pydantic==2.7.0 soundfile==0.12.1 fastapi==0.115.6 uvicorn==0.30.0 \
|
||||
transformers==4.51.3 protobuf==4.25 hydra-core==1.3.2 \
|
||||
rich==13.7.1 diffusers==0.29.0 x-transformers==2.11.24 wetext==0.0.4
|
||||
|
||||
# onnxruntime-gpu
|
||||
pip install onnxruntime-gpu==1.18.0 \
|
||||
--extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/
|
||||
|
||||
# 其他必要依赖
|
||||
pip install gdown matplotlib pyarrow wget onnx python-multipart httpx
|
||||
|
||||
# openai-whisper 需要 setuptools < 71(提供 pkg_resources)
|
||||
pip install "setuptools<71"
|
||||
pip install --no-build-isolation openai-whisper==20231117
|
||||
|
||||
# pyworld 需要 g++ 和 Cython
|
||||
pip install Cython
|
||||
PATH="/usr/bin:$PATH" pip install pyworld==0.3.4
|
||||
|
||||
# 关键版本修复
|
||||
pip install "numpy<2" # onnxruntime-gpu 不兼容 numpy 2.x
|
||||
pip install "ruamel.yaml<0.18" # hyperpyyaml 不兼容 ruamel.yaml 0.19+
|
||||
```
|
||||
|
||||
> **重要**: CosyVoice 要求 torch==2.3.1。torch 2.10+ 会导致 CUBLAS_STATUS_INVALID_VALUE 错误。
|
||||
> torch 2.3.1+cu121 自带 nvidia-cudnn-cu12,onnxruntime CUDAExecutionProvider 可正常使用。
|
||||
|
||||
### 4. 下载模型
|
||||
|
||||
```bash
|
||||
# 使用 huggingface_hub (国内用 hf-mirror.com)
|
||||
HF_ENDPOINT=https://hf-mirror.com python -c "
|
||||
from huggingface_hub import snapshot_download
|
||||
snapshot_download('FunAudioLLM/Fun-CosyVoice3-0.5B-2512', local_dir='pretrained_models/Fun-CosyVoice3-0.5B')
|
||||
snapshot_download('FunAudioLLM/CosyVoice-ttsfrd', local_dir='pretrained_models/CosyVoice-ttsfrd')
|
||||
"
|
||||
```
|
||||
|
||||
### 5. 安装 ttsfrd (可选,提升文本正则化质量)
|
||||
|
||||
```bash
|
||||
cd pretrained_models/CosyVoice-ttsfrd/
|
||||
unzip resource.zip -d .
|
||||
pip install ttsfrd_dependency-0.1-py3-none-any.whl
|
||||
pip install ttsfrd-0.4.2-cp310-cp310-linux_x86_64.whl
|
||||
```
|
||||
|
||||
### 6. 注册 PM2
|
||||
|
||||
```bash
|
||||
pm2 start run_cosyvoice.sh --name vigent2-cosyvoice
|
||||
pm2 save
|
||||
```
|
||||
|
||||
## 已知问题
|
||||
|
||||
1. **ttsfrd "prepare tts engine failed"**: ttsfrd C 库内部日志,Python 层初始化成功,不影响使用
|
||||
2. **Sliding Window Attention 警告**: transformers 库提示,不影响推理结果
|
||||
3. **onnxruntime Memcpy 性能提示**: `Memcpy nodes are not supported by the CUDA EP`,仅为性能建议日志,不影响功能
|
||||
|
||||
> 注:libcudnn.so.8 问题在 torch 2.3.1+cu121 环境下已解决(自带 nvidia-cudnn-cu12),onnxruntime CUDAExecutionProvider 可正常加载。
|
||||
|
||||
## 与 Qwen3-TTS 对比
|
||||
|
||||
| 特性 | Qwen3-TTS (已停用) | CosyVoice 3.0 (当前) |
|
||||
|------|-----------|----------------|
|
||||
| 端口 | 8009 | 8010 |
|
||||
| 模型大小 | 0.6B | 0.5B |
|
||||
| 语言 | 中/英/日/韩 | 9 语言 + 18 方言 |
|
||||
| 克隆方式 | ref_audio + ref_text | ref_audio + ref_text |
|
||||
| prompt 格式 | 直接传 ref_text | `You are a helpful assistant.<\|endofprompt\|>` + ref_text |
|
||||
| 内置分段 | 无,需客户端分段 | 内置 text_normalize 自动分段 |
|
||||
| 状态 | 已停用 (PM2 stopped) | 生产使用中 |
|
||||
@@ -115,6 +115,16 @@ playwright install chromium
|
||||
```
|
||||
|
||||
> 提示:视频号发布建议使用系统 Chrome + xvfb-run(避免 headless 解码失败)。
|
||||
> 抖音发布同样建议 headful 模式 (`DOUYIN_HEADLESS_MODE=headful`)。
|
||||
|
||||
### 扫码登录注意事项
|
||||
|
||||
- **Cookie 按用户隔离**:每个用户的 Cookie 存储在 `backend/user_data/{uuid}/cookies/` 目录下,多用户并发登录互不干扰。
|
||||
- **抖音 QR 登录关键教训**:
|
||||
- 扫码后绝对**不能重新加载 QR 页面**,否则会销毁会话 token
|
||||
- 使用**新标签页**检测登录完成状态(检查 URL 包含 `creator-micro` + session cookies 存在)
|
||||
- 抖音可能弹出**刷脸验证**,后端会自动提取验证二维码返回给前端展示
|
||||
- **微信视频号发布**:标题、描述、标签统一写入"视频描述"字段
|
||||
|
||||
---
|
||||
|
||||
@@ -155,6 +165,8 @@ playwright install chromium
|
||||
CREATE POLICY "Allow public read" ON storage.objects FOR SELECT TO anon USING (bucket_id = 'materials' OR bucket_id = 'outputs');
|
||||
EOF
|
||||
```
|
||||
|
||||
> **注意**:后端启动时会自动创建额外的存储桶(`ref-audios`、`generated-audios`),无需手动创建。
|
||||
|
||||
---
|
||||
|
||||
@@ -189,9 +201,27 @@ cp .env.example .env
|
||||
| `WEIXIN_TIMEZONE_ID` | Asia/Shanghai | 视频号时区 |
|
||||
| `WEIXIN_FORCE_SWIFTSHADER` | true | 强制软件 WebGL,避免 context lost |
|
||||
| `WEIXIN_TRANSCODE_MODE` | reencode | 上传前转码 (reencode/faststart/off) |
|
||||
| `DOUYIN_HEADLESS_MODE` | headless-new | 抖音 Playwright 模式 (headful/headless-new) |
|
||||
| `DOUYIN_CHROME_PATH` | `/usr/bin/google-chrome` | 抖音 Chrome 路径 |
|
||||
| `DOUYIN_BROWSER_CHANNEL` | | 抖音 Chromium 通道 (可选) |
|
||||
| `DOUYIN_USER_AGENT` | Chrome/144 UA | 抖音浏览器指纹 UA |
|
||||
| `DOUYIN_LOCALE` | zh-CN | 抖音语言环境 |
|
||||
| `DOUYIN_TIMEZONE_ID` | Asia/Shanghai | 抖音时区 |
|
||||
| `DOUYIN_FORCE_SWIFTSHADER` | true | 强制软件 WebGL |
|
||||
| `DOUYIN_DEBUG_ARTIFACTS` | false | 保留调试截图 |
|
||||
| `DOUYIN_RECORD_VIDEO` | false | 录制浏览器操作视频 |
|
||||
| `DOUYIN_KEEP_SUCCESS_VIDEO` | false | 成功后保留录屏 |
|
||||
| `CORS_ORIGINS` | `*` | CORS 允许源 (生产环境建议白名单) |
|
||||
| `SUPABASE_STORAGE_LOCAL_PATH` | 默认路径 | Supabase 本地存储路径 |
|
||||
| `DOUYIN_COOKIE` | 空 | 抖音视频下载 Cookie (文案提取功能) |
|
||||
| `ALIPAY_APP_ID` | 空 | 支付宝应用 APPID |
|
||||
| `ALIPAY_PRIVATE_KEY_PATH` | 空 | 应用私钥 PEM 文件路径 |
|
||||
| `ALIPAY_PUBLIC_KEY_PATH` | 空 | 支付宝公钥 PEM 文件路径 |
|
||||
| `ALIPAY_NOTIFY_URL` | 空 | 支付宝异步回调地址 (公网 HTTPS) |
|
||||
| `ALIPAY_RETURN_URL` | 空 | 支付完成后浏览器跳转地址 |
|
||||
| `PAYMENT_AMOUNT` | `999.00` | 会员价格 (元) |
|
||||
| `PAYMENT_EXPIRE_DAYS` | `365` | 会员有效天数 |
|
||||
|
||||
> 支付宝完整配置步骤(密钥生成、PEM 格式、产品开通等)请参考 **[支付宝部署指南](ALIPAY_DEPLOY.md)**。
|
||||
|
||||
---
|
||||
|
||||
@@ -265,6 +295,7 @@ cat > run_backend.sh << 'EOF'
|
||||
set -e
|
||||
BASE_DIR="$(cd "$(dirname "$0")" && pwd)"
|
||||
export WEIXIN_HEADLESS_MODE=headful
|
||||
export DOUYIN_HEADLESS_MODE=headful
|
||||
export WEIXIN_DEBUG_ARTIFACTS=false
|
||||
export WEIXIN_RECORD_VIDEO=false
|
||||
export DOUYIN_DEBUG_ARTIFACTS=false
|
||||
@@ -314,34 +345,28 @@ chmod +x run_latentsync.sh
|
||||
pm2 start ./run_latentsync.sh --name vigent2-latentsync
|
||||
```
|
||||
|
||||
### 4. 启动 Qwen3-TTS 声音克隆服务 (可选)
|
||||
### 4. 启动 CosyVoice 3.0 声音克隆服务 (可选)
|
||||
|
||||
> 如需使用声音克隆功能,需要启动此服务。
|
||||
> 如需使用声音克隆功能,需要启动此服务。详细部署步骤见 [CosyVoice 3.0 部署文档](COSYVOICE3_DEPLOY.md)。
|
||||
|
||||
1. 安装 HTTP 服务依赖:
|
||||
```bash
|
||||
conda activate qwen-tts
|
||||
pip install fastapi uvicorn python-multipart
|
||||
```
|
||||
1. 启动脚本位于项目根目录: `run_cosyvoice.sh`
|
||||
|
||||
2. 启动脚本位于项目根目录: `run_qwen_tts.sh`
|
||||
|
||||
3. 使用 pm2 启动:
|
||||
2. 使用 pm2 启动:
|
||||
```bash
|
||||
cd /home/rongye/ProgramFiles/ViGent2
|
||||
pm2 start ./run_qwen_tts.sh --name vigent2-qwen-tts
|
||||
pm2 start ./run_cosyvoice.sh --name vigent2-cosyvoice
|
||||
pm2 save
|
||||
```
|
||||
|
||||
4. 验证服务:
|
||||
3. 验证服务:
|
||||
```bash
|
||||
# 检查健康状态
|
||||
curl http://localhost:8009/health
|
||||
curl http://localhost:8010/health
|
||||
```
|
||||
|
||||
### 5. 启动服务看门狗 (Watchdog)
|
||||
|
||||
> 🛡️ **推荐**:监控 Qwen-TTS 和 LatentSync 服务健康状态,卡死时自动重启。
|
||||
> 🛡️ **推荐**:监控 CosyVoice 和 LatentSync 服务健康状态,卡死时自动重启。
|
||||
|
||||
```bash
|
||||
cd /home/rongye/ProgramFiles/ViGent2
|
||||
@@ -362,7 +387,7 @@ pm2 startup
|
||||
pm2 status # 查看所有服务状态
|
||||
pm2 logs # 查看所有日志
|
||||
pm2 logs vigent2-backend # 查看后端日志
|
||||
pm2 logs vigent2-qwen-tts # 查看 Qwen3-TTS 日志
|
||||
pm2 logs vigent2-cosyvoice # 查看 CosyVoice 日志
|
||||
pm2 restart all # 重启所有服务
|
||||
pm2 stop vigent2-latentsync # 停止 LatentSync 服务
|
||||
pm2 delete all # 删除所有服务
|
||||
@@ -501,7 +526,7 @@ python3 -c "import torch; print(torch.cuda.is_available())"
|
||||
sudo lsof -i :8006
|
||||
sudo lsof -i :3002
|
||||
sudo lsof -i :8007
|
||||
sudo lsof -i :8009 # Qwen3-TTS
|
||||
sudo lsof -i :8010 # CosyVoice
|
||||
```
|
||||
|
||||
### 查看日志
|
||||
@@ -511,7 +536,7 @@ sudo lsof -i :8009 # Qwen3-TTS
|
||||
pm2 logs vigent2-backend
|
||||
pm2 logs vigent2-frontend
|
||||
pm2 logs vigent2-latentsync
|
||||
pm2 logs vigent2-qwen-tts
|
||||
pm2 logs vigent2-cosyvoice
|
||||
```
|
||||
|
||||
### SSH 连接卡顿 / 系统响应慢
|
||||
@@ -542,6 +567,7 @@ pm2 logs vigent2-qwen-tts
|
||||
| `playwright` | 社交媒体自动发布 |
|
||||
| `biliup` | B站视频上传 |
|
||||
| `loguru` | 日志管理 |
|
||||
| `python-alipay-sdk` | 支付宝支付集成 |
|
||||
|
||||
### 前端关键依赖
|
||||
|
||||
@@ -550,6 +576,7 @@ pm2 logs vigent2-qwen-tts
|
||||
| `next` | React 框架 |
|
||||
| `swr` | 数据请求与缓存 |
|
||||
| `tailwindcss` | CSS 样式 |
|
||||
| `wavesurfer.js` | 音频波形(时间轴编辑器) |
|
||||
|
||||
### LatentSync 关键依赖
|
||||
|
||||
|
||||
@@ -342,6 +342,6 @@ models/Qwen3-TTS/
|
||||
|
||||
## 🔗 相关文档
|
||||
|
||||
- [task_complete.md](../task_complete.md) - 任务总览
|
||||
- [TASK_COMPLETE.md](../TASK_COMPLETE.md) - 任务总览
|
||||
- [Day11.md](./Day11.md) - 上传架构重构
|
||||
- [QWEN3_TTS_DEPLOY.md](../QWEN3_TTS_DEPLOY.md) - Qwen3-TTS 部署指南
|
||||
|
||||
@@ -273,7 +273,7 @@ pm2 logs vigent2-qwen-tts --lines 50
|
||||
|
||||
## 🔗 相关文档
|
||||
|
||||
- [task_complete.md](../task_complete.md) - 任务总览
|
||||
- [TASK_COMPLETE.md](../TASK_COMPLETE.md) - 任务总览
|
||||
- [Day12.md](./Day12.md) - iOS 兼容与 Qwen3-TTS 部署
|
||||
- [QWEN3_TTS_DEPLOY.md](../QWEN3_TTS_DEPLOY.md) - Qwen3-TTS 部署指南
|
||||
- [SUBTITLE_DEPLOY.md](../SUBTITLE_DEPLOY.md) - 字幕功能部署指南
|
||||
|
||||
@@ -397,6 +397,6 @@ if ((status === 401 || status === 403) && !isRedirecting && !isPublicPath) {
|
||||
|
||||
## 🔗 相关文档
|
||||
|
||||
- [task_complete.md](../task_complete.md) - 任务总览
|
||||
- [TASK_COMPLETE.md](../TASK_COMPLETE.md) - 任务总览
|
||||
- [Day13.md](./Day13.md) - 声音克隆功能集成 + 字幕功能
|
||||
- [QWEN3_TTS_DEPLOY.md](../QWEN3_TTS_DEPLOY.md) - Qwen3-TTS 1.7B 部署指南
|
||||
|
||||
@@ -342,7 +342,7 @@ pm2 restart vigent2-backend vigent2-frontend
|
||||
|
||||
## 🔗 相关文档
|
||||
|
||||
- [task_complete.md](../task_complete.md) - 任务总览
|
||||
- [TASK_COMPLETE.md](../TASK_COMPLETE.md) - 任务总览
|
||||
- [Day14.md](./Day14.md) - 模型升级 + AI 标题标签
|
||||
- [AUTH_DEPLOY.md](../AUTH_DEPLOY.md) - 认证系统部署指南
|
||||
|
||||
|
||||
@@ -136,4 +136,4 @@ if service["failures"] >= service['threshold']:
|
||||
|
||||
- [x] `Docs/QWEN3_TTS_DEPLOY.md`: 添加 Flash Attention 安装指南
|
||||
- [x] `Docs/DEPLOY_MANUAL.md`: 添加 Watchdog 部署说明
|
||||
- [x] `Docs/task_complete.md`: 更新进度至 100% (Day 16)
|
||||
- [x] `Docs/TASK_COMPLETE.md`: 更新进度至 100% (Day 16)
|
||||
|
||||
@@ -64,3 +64,40 @@ pm2 restart vigent2-backend
|
||||
pm2 restart vigent2-latentsync
|
||||
# Remotion 已自动编译
|
||||
```
|
||||
|
||||
### 🎨 交互与体验优化 (17:00)
|
||||
|
||||
- [x] **UX-1**: PublishPage 图片加载优化 (`<img>` → `next/image`)
|
||||
- [x] **UX-2**: 按钮 Loading 状态统一 (提取脚本弹窗 + 发布页)
|
||||
- [x] **UX-3**: 骨架屏加载优化 (发布页加载中状态)
|
||||
- [x] **UX-4**: 全局快捷键支持 (ESC 关闭弹窗, Enter 确认)
|
||||
- [x] **UX-5**: 移除全局 GlobalTaskIndicator (视觉降噪)
|
||||
- [x] **UX-6**: 视频生成完成自动刷新列表并选中最新
|
||||
|
||||
### 🐛 缺陷修复与回归治理 (17:30)
|
||||
|
||||
#### 严重缺陷修复
|
||||
- [x] **BUG-1**: Remotion 渲染脚本路径解析错误 (导致标题字幕丢失)
|
||||
- *原因*: `render.js` 预编译后使用了 `__dirname`,在 `dist` 目录下寻找源码失败。
|
||||
- *修复*: 修改 `render.ts` 使用 `process.cwd()` 动态解析路径,并重新编译。
|
||||
|
||||
- [x] **BUG-2**: 发布页视频选择持久化失效 (Auth 异步竞态)
|
||||
- *原因*: 页面加载时 `useAuth` 尚未返回用户 ID,导致使用 `guest` Key 读取不到记录,随后被默认值覆盖。
|
||||
- *修复*: 引入 `isVideoRestored` 状态机,强制等待 Auth 完成且 Video 列表加载完毕后,才执行恢复逻辑。
|
||||
|
||||
#### 回归问题治理
|
||||
- [x] **REG-1**: 首页历史作品 ID 恢复后内容不显示
|
||||
- *原因*: 持久化模块恢复了 ID,但 `useGeneratedVideos` 未监听 ID 变化同步 URL。
|
||||
- *修复*: 新增 `useEffect` 监听 `selectedVideoId` 变化并同步 `generatedVideo` URL。
|
||||
|
||||
- [x] **REG-2**: 首页/发布页“默认选中第一个”逻辑丢失
|
||||
- *原因*: 重构移除旧逻辑后,新用户或无缓存用户进入页面无默认选中。
|
||||
- *修复*: 在 `isRestored` 且无选中时,增加兜底逻辑自动选中列表第一项。
|
||||
|
||||
- [x] **REG-3**: 素材选择持久化失效 (闭包陷阱)
|
||||
- *原因*: `useMaterials` 加载回调中捕获了旧的 `selectedMaterial` 状态,覆盖了已恢复的值。
|
||||
- *修复*: 改为函数式状态更新 (`setState(prev => ...)`),确保基于最新状态判断。
|
||||
|
||||
- [x] **REF-1**: 持久化逻辑全站收敛与排查
|
||||
- *优化*: 清理 `useBgm`, `useGeneratedVideos`, `useTitleSubtitleStyles` 中的冗余 `localStorage` 读取,统一由 `useHomePersistence` 管理。
|
||||
- *排查*: 深度排查 `useRefAudios`, `useTitleSubtitleStyles` 等模块,确认逻辑健壮,无类似回归风险。
|
||||
|
||||
449
Docs/DevLogs/Day21.md
Normal file
449
Docs/DevLogs/Day21.md
Normal file
@@ -0,0 +1,449 @@
|
||||
## 🐛 缺陷修复:视频生成与持久化回归 (Day 21)
|
||||
|
||||
### 概述
|
||||
本日修复 Day 20 优化后引入的 3 个回归缺陷:Remotion 渲染崩溃容错、首页作品选择持久化、发布页作品选择持久化。
|
||||
|
||||
---
|
||||
|
||||
### 已完成修复
|
||||
|
||||
#### BUG-1: Remotion 渲染进程崩溃导致标题/字幕丢失
|
||||
- **现象**: 视频生成后没有标题和字幕,回退到纯 FFmpeg 合成。
|
||||
- **根因**: Remotion Node.js 进程在渲染完成(100%)后以 SIGABRT (code -6) 退出,Python 端将其视为失败。
|
||||
- **修复**: `remotion_service.py` 在进程非零退出时,先检查输出文件是否存在且大小合理(>1KB),若存在则视为成功。
|
||||
- **文件**: `backend/app/services/remotion_service.py`
|
||||
|
||||
```python
|
||||
if process.returncode != 0:
|
||||
output_file = Path(output_path)
|
||||
if output_file.exists() and output_file.stat().st_size > 1024:
|
||||
logger.warning(
|
||||
f"Remotion process exited with code {process.returncode}, "
|
||||
f"but output file exists ({output_file.stat().st_size} bytes). Treating as success."
|
||||
)
|
||||
return output_path
|
||||
raise RuntimeError(...)
|
||||
```
|
||||
|
||||
#### BUG-2: 首页历史作品选择刷新后不保持
|
||||
- **现象**: 用户选择某个历史作品后刷新页面,总是回到第一个视频。
|
||||
- **根因**: `fetchGeneratedVideos()` 在初始加载时无条件自动选中第一个视频,覆盖了 `useHomePersistence` 的恢复值。
|
||||
- **修复**: `fetchGeneratedVideos` 增加 `preferVideoId` 参数,仅在明确指定时才自动选中;新增 `"__latest__"` 哨兵值用于生成完成后选中最新。
|
||||
- **文件**: `frontend/src/features/home/model/useGeneratedVideos.ts`, `frontend/src/features/home/model/useHomeController.ts`
|
||||
|
||||
```typescript
|
||||
// 任务完成 → 自动选中最新
|
||||
useEffect(() => {
|
||||
if (prevIsGenerating.current && !isGenerating) {
|
||||
if (currentTask?.status === "completed") {
|
||||
void fetchGeneratedVideos("__latest__");
|
||||
} else {
|
||||
void fetchGeneratedVideos();
|
||||
}
|
||||
}
|
||||
prevIsGenerating.current = isGenerating;
|
||||
}, [isGenerating, currentTask, fetchGeneratedVideos]);
|
||||
```
|
||||
|
||||
#### BUG-3: 发布页作品选择刷新后不保持(根因:签名 URL 不稳定)
|
||||
- **现象**: 发布管理页选择视频后刷新,选择丢失(无任何视频被选中)。
|
||||
- **根因**: 后端 `/api/videos/generated` 返回的 `path` 是 Supabase 签名 URL,每次请求都会变化。发布页用 `path` 作为选择标识存入 localStorage,刷新后新的 `path` 与保存值永远不匹配。首页不受影响是因为使用稳定的 `video.id`。
|
||||
- **修复**: 发布页全面改用 `id`(稳定标识)替代 `path`(签名 URL)进行选择、持久化和比较。
|
||||
- **文件**:
|
||||
- `frontend/src/shared/types/publish.ts` — `PublishVideo` 新增 `id` 字段
|
||||
- `frontend/src/features/publish/model/usePublishController.ts` — `selectedVideo` 存储 `id`,发布时根据 `id` 查找 `path`
|
||||
- `frontend/src/features/publish/ui/PublishPage.tsx` — `key`/`onClick`/选中比较改用 `v.id`
|
||||
- `frontend/src/features/home/model/useHomeController.ts` — 预取缓存加入 `id` 字段
|
||||
|
||||
```typescript
|
||||
// 类型定义新增 id
|
||||
export interface PublishVideo {
|
||||
id: string; // 稳定标识符
|
||||
name: string;
|
||||
path: string; // 签名 URL(仅用于播放/发布)
|
||||
}
|
||||
|
||||
// 发布时根据 id 查找 path
|
||||
const video = videos.find(v => v.id === selectedVideo);
|
||||
await api.post('/api/publish', { video_path: video.path, ... });
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 涉及文件汇总
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `backend/app/services/remotion_service.py` | Remotion 崩溃容错 |
|
||||
| `frontend/src/features/home/model/useGeneratedVideos.ts` | 首页视频选择不自动覆盖 |
|
||||
| `frontend/src/features/home/model/useHomeController.ts` | 任务完成监听 + 预取缓存加 id |
|
||||
| `frontend/src/shared/types/publish.ts` | PublishVideo 新增 id 字段 |
|
||||
| `frontend/src/features/publish/model/usePublishController.ts` | 选择/持久化/发布改用 id |
|
||||
| `frontend/src/features/publish/ui/PublishPage.tsx` | UI 选择比较改用 id |
|
||||
|
||||
### 关键教训
|
||||
|
||||
> **签名 URL 不可作为持久化标识**。Supabase Storage 的签名 URL 包含时间戳和签名参数,每次请求都不同。任何需要跨请求/跨刷新保持的标识,必须使用后端返回的稳定 `id` 字段。
|
||||
|
||||
### 重启要求
|
||||
```bash
|
||||
pm2 restart vigent2-backend # Remotion 容错
|
||||
npm run build && pm2 restart vigent2-frontend # 前端持久化修复
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🎨 浮动样式预览窗口优化 (Day 21)
|
||||
|
||||
### 概述
|
||||
标题与字幕面板中的预览区域原本是内联折叠的,展开后调节下方滑块时看不到预览效果。改为 `position: fixed` 浮动窗口,固定在视口左上角,滚动页面时预览始终可见,边调边看。
|
||||
|
||||
### 已完成优化
|
||||
|
||||
#### 1. 新建浮动预览组件 `FloatingStylePreview.tsx`
|
||||
- `createPortal(jsx, document.body)` 渲染到 body 层级,脱离面板 DOM 树
|
||||
- `position: fixed` + 左上角固定定位,滚动时不移动
|
||||
- `z-index: 150`(低于 VideoPreviewModal 的 200)
|
||||
- 顶部标题栏 + X 关闭按钮,ESC 键关闭
|
||||
- 桌面端固定宽度 280px,移动端自适应(最大 360px)
|
||||
- `previewScale = windowWidth / previewBaseWidth` 自行计算缩放
|
||||
- `maxHeight: calc(100dvh - 32px)` 防止超出视口
|
||||
|
||||
#### 2. 修改 `TitleSubtitlePanel.tsx`
|
||||
- 删除内联预览区域(`ref={previewContainerRef}` 整块 JSX)
|
||||
- 条件渲染 `<FloatingStylePreview />`,按钮文本保持"预览样式"/"收起预览"
|
||||
- 移除 `previewScale`、`previewAspectRatio`、`previewContainerRef` props
|
||||
- 保留 `previewBaseWidth/Height`(浮动窗口需要原始尺寸计算 scale)
|
||||
|
||||
#### 3. 清理 `useHomeController.ts`
|
||||
- 移除 `previewContainerWidth` 状态
|
||||
- 移除 `titlePreviewContainerRef` ref
|
||||
- 移除 ResizeObserver useEffect(浮动窗口自管尺寸,不再需要)
|
||||
|
||||
#### 4. 简化 `HomePage.tsx` 传参
|
||||
- 移除 `previewContainerWidth`、`titlePreviewContainerRef` 解构
|
||||
- 移除 `previewScale`、`previewAspectRatio`、`previewContainerRef` prop 传递
|
||||
|
||||
#### 5. 移动端适配
|
||||
- `ScriptEditor.tsx`:标题行改为 `flex-wrap`,"AI生成标题标签"按钮不再溢出
|
||||
- 预览默认比例从 1280×720 (16:9) 改为 1080×1920 (9:16),符合抖音竖屏视频
|
||||
|
||||
### 涉及文件汇总
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `frontend/src/features/home/ui/FloatingStylePreview.tsx` | **新建** 浮动预览组件 |
|
||||
| `frontend/src/features/home/ui/TitleSubtitlePanel.tsx` | 移除内联预览,渲染浮动组件 |
|
||||
| `frontend/src/features/home/model/useHomeController.ts` | 移除 preview 容器相关状态和 ResizeObserver |
|
||||
| `frontend/src/features/home/ui/HomePage.tsx` | 简化 props 传递,默认比例改 9:16 |
|
||||
| `frontend/src/features/home/ui/ScriptEditor.tsx` | 移动端按钮换行适配 |
|
||||
|
||||
### 重启要求
|
||||
```bash
|
||||
npm run build && pm2 restart vigent2-frontend
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🔧 多平台发布体系重构:用户隔离与抖音刷脸验证 (Day 21)
|
||||
|
||||
### 概述
|
||||
重构发布系统的两大核心问题:① 多用户场景下 Cookie/会话缺乏隔离,② 抖音登录新增刷脸验证步骤无法处理。同时修复了平台配置混用和微信视频号发布流程问题。
|
||||
|
||||
---
|
||||
|
||||
### 一、平台配置独立化
|
||||
|
||||
#### 问题
|
||||
所有平台(抖音、微信、B站、小红书)共用 WEIXIN_* 配置,导致 User-Agent、Headless 模式等设置不匹配。
|
||||
|
||||
#### 修复 — `config.py`
|
||||
- 新增 `DOUYIN_*` 独立配置项:`DOUYIN_HEADLESS_MODE`、`DOUYIN_USER_AGENT`(Chrome/144)、`DOUYIN_LOCALE`、`DOUYIN_TIMEZONE_ID`、`DOUYIN_CHROME_PATH`、`DOUYIN_FORCE_SWIFTSHADER`、调试开关等
|
||||
- 微信保持已有 `WEIXIN_*` 配置
|
||||
- B站/小红书使用通用默认值
|
||||
|
||||
#### 修复 — `qr_login_service.py` 平台配置映射
|
||||
```python
|
||||
# 之前:所有平台都用 WEIXIN 设置
|
||||
# 之后:每个平台独立配置
|
||||
PLATFORM_CONFIGS = {
|
||||
"douyin": { headless, user_agent, locale, timezone... },
|
||||
"weixin": { headless, user_agent, locale, timezone... },
|
||||
"bilibili": { 通用配置 },
|
||||
"xiaohongshu": { 通用配置 },
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 二、用户隔离的 Cookie 管理
|
||||
|
||||
#### 问题
|
||||
多用户共享同一套 Cookie 文件,用户 A 的登录态可能被用户 B 覆盖。
|
||||
|
||||
#### 修复 — `publish_service.py`
|
||||
- `_get_cookies_dir(user_id)` → `backend/user_data/{uuid}/cookies/`
|
||||
- `_get_cookie_path(user_id, platform)` → 按用户+平台返回独立 Cookie 文件路径
|
||||
- `_get_session_key(user_id, platform)` → `"{user_id}_{platform}"` 格式的会话 key
|
||||
- 登录/发布流程全链路传入 `user_id`,清理残留会话避免干扰
|
||||
|
||||
---
|
||||
|
||||
### 三、抖音刷脸验证二维码
|
||||
|
||||
#### 问题
|
||||
抖音扫码登录后可能弹出刷脸验证窗口,内含新的二维码需要用户再次扫描,前端无法感知和展示。
|
||||
|
||||
#### 修复 — 后端 `qr_login_service.py`
|
||||
- 扩展 QR 选择器:支持跨 iframe 搜索二维码元素
|
||||
- 抖音 API 拦截:监听 `check_qrconnect` 响应,检测 `redirect_url`
|
||||
- 检测 "完成验证" / "请前往APP完成验证" 文案
|
||||
- 在验证弹窗内找到正方形二维码(排除头像),截图返回给前端
|
||||
- API 确认后直接导航到 redirect_url(不重新加载 QR 页,避免销毁会话)
|
||||
|
||||
#### 修复 — 后端 `publish_service.py`
|
||||
- `get_login_session_status()` 新增 `face_verify_qr` 字段返回
|
||||
- 登录成功且 Cookie 保存后自动清理会话
|
||||
|
||||
#### 修复 — 前端
|
||||
- `usePublishController.ts`:新增 `faceVerifyQr` 状态,轮询时获取 `face_verify_qr` 字段
|
||||
- `PublishPage.tsx`:QR 弹窗优先展示刷脸验证二维码,附提示文案
|
||||
|
||||
```tsx
|
||||
{faceVerifyQr ? (
|
||||
<>
|
||||
<Image src={`data:image/png;base64,${faceVerifyQr}`} />
|
||||
<p>需要身份验证,请用抖音APP扫描上方二维码完成刷脸验证</p>
|
||||
</>
|
||||
) : /* 普通登录二维码 */ }
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 四、微信视频号发布流程优化
|
||||
|
||||
#### 修复 — `weixin_uploader.py`
|
||||
- 添加 `user_id` 参数支持,发布截图目录隔离
|
||||
- 新增 `post_create` API 响应监听,精准判断发布成功
|
||||
- 发布结果判定:URL 离开创建页 或 API 确认提交 → 视为成功
|
||||
- 标题/标签处理改为统一写入"视频描述"字段(不再单独填写 title/tags)
|
||||
|
||||
---
|
||||
|
||||
### 涉及文件汇总
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `backend/app/core/config.py` | 新增 DOUYIN_* 独立配置项 |
|
||||
| `backend/app/services/qr_login_service.py` | 平台配置拆分、刷脸验证二维码、跨 iframe 选择器 |
|
||||
| `backend/app/services/publish_service.py` | 用户隔离 Cookie 管理、刷脸验证状态返回 |
|
||||
| `backend/app/services/uploader/weixin_uploader.py` | user_id 支持、post_create API 监听、描述字段合并 |
|
||||
| `frontend/src/features/publish/model/usePublishController.ts` | faceVerifyQr 状态 |
|
||||
| `frontend/src/features/publish/ui/PublishPage.tsx` | 刷脸验证二维码展示 |
|
||||
|
||||
### 重启要求
|
||||
```bash
|
||||
pm2 restart vigent2-backend # 发布服务 + QR登录
|
||||
npm run build && pm2 restart vigent2-frontend # 刷脸验证UI
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🏗️ 架构优化:前端结构微调 + 后端模块分层 (Day 21)
|
||||
|
||||
### 概述
|
||||
根据架构审计结果,完成前端目录规范化和后端核心模块的分层补全。
|
||||
|
||||
### 一、前端结构微调
|
||||
|
||||
#### 1. ScriptExtractionModal 迁移
|
||||
- `components/ScriptExtractionModal.tsx` → `features/home/ui/ScriptExtractionModal.tsx`
|
||||
- 连带 `components/script-extraction/` 目录一并迁移到 `features/home/ui/script-extraction/`
|
||||
- 更新 `HomePage.tsx` 的 import 路径
|
||||
|
||||
#### 2. contexts/ 目录归并
|
||||
- `src/contexts/AuthContext.tsx` → `src/shared/contexts/AuthContext.tsx`
|
||||
- `src/contexts/TaskContext.tsx` → `src/shared/contexts/TaskContext.tsx`
|
||||
- 更新 6 处 import(layout.tsx, useHomeController.ts, usePublishController.ts, AccountSettingsDropdown.tsx, GlobalTaskIndicator.tsx)
|
||||
- 删除空的 `src/contexts/` 目录
|
||||
|
||||
#### 3. 清理重构遗留空目录
|
||||
- 删除 `src/lib/`、`src/components/home/`、`src/hooks/`
|
||||
|
||||
### 二、后端模块分层补全
|
||||
|
||||
将 3 个 400+ 行的 router-only 模块拆分为 `router.py + schemas.py + service.py`:
|
||||
|
||||
| 模块 | 改造前 | 改造后 router |
|
||||
|------|--------|--------------|
|
||||
| `materials/` | 416 行 | 63 行 |
|
||||
| `tools/` | 417 行 | 33 行 |
|
||||
| `ref_audios/` | 421 行 | 71 行 |
|
||||
|
||||
业务逻辑全部提取到 `service.py`,数据模型定义在 `schemas.py`,router 只做参数校验 + 调用 service + 返回响应。
|
||||
|
||||
### 三、开发规范更新
|
||||
|
||||
`BACKEND_DEV.md` 第 8 节新增渐进原则:
|
||||
- 新模块**必须**包含 `router.py + schemas.py + service.py`
|
||||
- 改旧模块时顺手拆涉及的部分
|
||||
- 新代码高标准,旧代码逐步改
|
||||
|
||||
### 涉及文件汇总
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `frontend/src/features/home/ui/ScriptExtractionModal.tsx` | 从 components/ 迁入 |
|
||||
| `frontend/src/features/home/ui/script-extraction/` | 从 components/ 迁入 |
|
||||
| `frontend/src/shared/contexts/AuthContext.tsx` | 从 contexts/ 迁入 |
|
||||
| `frontend/src/shared/contexts/TaskContext.tsx` | 从 contexts/ 迁入 |
|
||||
| `backend/app/modules/materials/schemas.py` | **新建** |
|
||||
| `backend/app/modules/materials/service.py` | **新建** |
|
||||
| `backend/app/modules/materials/router.py` | 精简为薄路由 |
|
||||
| `backend/app/modules/tools/schemas.py` | **新建** |
|
||||
| `backend/app/modules/tools/service.py` | **新建** |
|
||||
| `backend/app/modules/tools/router.py` | 精简为薄路由 |
|
||||
| `backend/app/modules/ref_audios/schemas.py` | **新建** |
|
||||
| `backend/app/modules/ref_audios/service.py` | **新建** |
|
||||
| `backend/app/modules/ref_audios/router.py` | 精简为薄路由 |
|
||||
| `Docs/BACKEND_DEV.md` | 目录结构标注分层、新增渐进原则 |
|
||||
| `Docs/BACKEND_README.md` | 目录结构标注分层 |
|
||||
| `Docs/FRONTEND_DEV.md` | 更新目录结构(contexts 迁移、ScriptExtractionModal 迁移) |
|
||||
|
||||
### 重启要求
|
||||
```bash
|
||||
pm2 restart vigent2-backend
|
||||
npm run build && pm2 restart vigent2-frontend
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🎬 多素材视频生成(多机位效果)
|
||||
|
||||
### 概述
|
||||
支持用户上传多个不同角度的自拍视频,生成视频时按句子自动切换素材,最终效果类似多机位拍摄。单素材时走原有流程,无额外开销。
|
||||
|
||||
### 核心架构
|
||||
|
||||
#### 流水线变更
|
||||
```
|
||||
【单素材(不变)】
|
||||
text → TTS → audio → LatentSync(1个素材+完整audio) → Whisper字幕 → Remotion → 成片
|
||||
|
||||
【多素材(新增)】
|
||||
text → TTS → audio → Whisper字幕(提前) → 按素材数量均分时长(对齐字边界)
|
||||
→ 对每段: 切分audio + LatentSync(素材[i]+音频片段[i])
|
||||
→ FFmpeg拼接所有片段 → Remotion(完整字幕时间戳) → 成片
|
||||
```
|
||||
|
||||
#### 素材切换逻辑(均分方案)
|
||||
1. Whisper 对完整音频转录,得到字级别时间戳
|
||||
2. 按素材数量**均分音频总时长**(`total_duration / N`)
|
||||
3. 每个分割点对齐到最近的 Whisper 字边界,避免在字中间切分
|
||||
4. 首段 start 扩展为 0.0,末段 end 扩展为音频结尾,确保完整覆盖
|
||||
|
||||
> **设计决策**:最初方案基于原始文案标点分句,但用户文案往往不含句号(只有逗号),导致只产生 1 段。改为均分方案后不依赖文案标点,对任何输入都能正确切分。
|
||||
|
||||
---
|
||||
|
||||
### 一、后端改动
|
||||
|
||||
#### 1. `backend/app/modules/videos/schemas.py`
|
||||
- 新增 `material_paths: Optional[List[str]]` 字段
|
||||
- 保留 `material_path: str` 向后兼容
|
||||
|
||||
#### 2. `backend/app/modules/videos/workflow.py`(核心改动)
|
||||
|
||||
**新增函数**:
|
||||
- `_split_equal(segments, material_paths)`: 按素材数量均分音频时长,对齐到最近的 Whisper 字边界
|
||||
|
||||
**修改 `process_video_generation()`**:
|
||||
- `is_multi = len(material_paths) > 1` 判断走多素材/单素材分支
|
||||
- 多素材分支:Whisper 提前 → 均分切分 → 音频切分 → 逐段 LatentSync → FFmpeg 拼接
|
||||
|
||||
#### 3. `backend/app/services/video_service.py`
|
||||
- 新增 `concat_videos()`: FFmpeg concat demuxer (`-c copy`) 拼接视频片段
|
||||
- 新增 `split_audio()`: FFmpeg 按时间范围切分音频 (`-ss` + `-t` + `-c copy`)
|
||||
|
||||
#### 4. `backend/scripts/watchdog.py`
|
||||
- 健康检查阈值从 3 次提高到 5 次(容忍期 2.5 分钟)
|
||||
- 新增重启后 120 秒冷却期,避免模型加载期间被误判为故障
|
||||
- 启动时给所有服务 60 秒初始冷却期
|
||||
|
||||
---
|
||||
|
||||
### 二、前端改动
|
||||
|
||||
#### 1. 新增依赖
|
||||
```bash
|
||||
npm install @dnd-kit/core @dnd-kit/sortable @dnd-kit/utilities
|
||||
```
|
||||
|
||||
#### 2. `frontend/src/features/home/model/useMaterials.ts`
|
||||
- `selectedMaterial: string` → `selectedMaterials: string[]`(多选)
|
||||
- 新增 `toggleMaterial(id)`: 切换选中/取消(至少保留1个)
|
||||
- 新增 `reorderMaterials(activeId, overId)`: 拖拽排序
|
||||
- 上传格式扩展:新增 `.mkv/.webm/.flv/.wmv/.m4v/.ts/.mts`
|
||||
|
||||
#### 3. `frontend/src/features/home/ui/MaterialSelector.tsx`(重写)
|
||||
- 素材列表每行增加复选框 + 序号徽标(①②③)
|
||||
- 选中 ≥2 个时显示拖拽排序区(@dnd-kit `SortableContext`)
|
||||
- 每个排序项:拖拽把手 + 序号 + 素材名 + 移除按钮
|
||||
- HTML input accept 改为 `video/*`
|
||||
|
||||
#### 4. `frontend/src/features/home/model/useHomeController.ts`
|
||||
- 多素材 payload:`material_paths` 数组 + `material_path` 向后兼容
|
||||
- `enable_subtitles` 硬编码为 `true`(移除开关)
|
||||
- 验证:至少选中 1 个素材
|
||||
|
||||
#### 5. `frontend/src/features/home/model/useHomePersistence.ts`
|
||||
- 素材持久化改为 JSON 数组,向后兼容旧格式(单字符串)
|
||||
- 移除 `enableSubtitles` 持久化
|
||||
|
||||
#### 6. `frontend/src/features/home/ui/TitleSubtitlePanel.tsx`
|
||||
- 移除"逐字高亮字幕"开关,字幕样式区始终显示
|
||||
|
||||
#### 7. `frontend/src/features/home/ui/HomePage.tsx`
|
||||
- 更新 props 传递(`selectedMaterials`, `toggleMaterial`, `reorderMaterials`)
|
||||
|
||||
---
|
||||
|
||||
### 三、Bug 修复记录
|
||||
|
||||
#### BUG-1: 多素材只使用第一个视频(基于标点的分句方案失败)
|
||||
- **现象**: 选了 2 个素材但生成的视频只使用第 1 个,日志显示 `Multi-material: 1 segments, 2 materials`。
|
||||
- **根因 v1**: 最初通过正则 `[。!?!?]` 在 Whisper 输出中分句,但 Whisper 不输出标点。
|
||||
- **修复 v1**: 改为用原始文案标点分句——但用户文案往往只含逗号(,),无句末标点(。!?),仍退化为 1 段。
|
||||
- **最终修复**: 彻底放弃基于标点的分句方案,改为 `_split_equal()` **按素材数量均分音频时长**,对齐到最近的 Whisper 字边界。不依赖任何标点符号,对所有文案均有效。
|
||||
|
||||
#### BUG-2: 口型对不上(音频时间偏移)
|
||||
- **根因**: `split_audio` 用 Whisper 的 start/end 时间(如 0.11~7.21)切分音频,但 `compose()` 用完整原始音频(0.0~结尾)合成,导致时间偏移。
|
||||
- **修复**: 强制首段 start=0.0,末段 end=音频实际时长,确保切分音频完整覆盖。
|
||||
|
||||
#### BUG-3: min_segment_sec 过度合并导致退化(已随方案切换移除)
|
||||
- **根因**: 旧方案中 2 个句子第 2 句不足 3 秒时,最短时长检查合并为 1 段,多素材退化为单素材。
|
||||
- **状态**: 均分方案不存在此问题,相关代码已移除。
|
||||
|
||||
---
|
||||
|
||||
### 涉及文件汇总
|
||||
|
||||
| 文件 | 变更类型 | 说明 |
|
||||
|------|----------|------|
|
||||
| `backend/app/modules/videos/schemas.py` | 修改 | 新增 material_paths 字段 |
|
||||
| `backend/app/modules/videos/workflow.py` | 修改 | 多素材流水线核心逻辑 + 3个 Bug 修复 |
|
||||
| `backend/app/services/video_service.py` | 修改 | 新增 concat_videos / split_audio |
|
||||
| `backend/scripts/watchdog.py` | 修改 | 阈值优化 + 冷却期机制 |
|
||||
| `frontend/package.json` | 修改 | 新增 @dnd-kit 依赖 |
|
||||
| `frontend/src/features/home/model/useMaterials.ts` | 修改 | 多选 + 排序状态管理 |
|
||||
| `frontend/src/features/home/ui/MaterialSelector.tsx` | 重写 | 多选复选框 + 拖拽排序 UI |
|
||||
| `frontend/src/features/home/model/useHomeController.ts` | 修改 | 多素材 payload + 移除字幕开关 |
|
||||
| `frontend/src/features/home/model/useHomePersistence.ts` | 修改 | JSON 数组持久化 |
|
||||
| `frontend/src/features/home/ui/TitleSubtitlePanel.tsx` | 修改 | 移除字幕开关 |
|
||||
| `frontend/src/features/home/ui/HomePage.tsx` | 修改 | 更新 props 传递 |
|
||||
|
||||
### 重启要求
|
||||
```bash
|
||||
pm2 restart vigent2-backend
|
||||
npm run build && pm2 restart vigent2-frontend
|
||||
```
|
||||
221
Docs/DevLogs/Day22.md
Normal file
221
Docs/DevLogs/Day22.md
Normal file
@@ -0,0 +1,221 @@
|
||||
## 🔧 多素材生成优化与健壮性加固 (Day 22)
|
||||
|
||||
### 概述
|
||||
对 Day 21 实现的多素材视频生成(多机位)功能进行全面审查,修复 6 个高优先级 Bug、完成 8 项体验优化,并将多素材流水线从"逐段 LatentSync"重构为"先拼接再推理"架构,推理次数从 N 次降为 1 次。
|
||||
|
||||
---
|
||||
|
||||
### 一、后端高优 Bug 修复
|
||||
|
||||
#### 1. `_split_equal()` 素材数 > 字符数边界溢出
|
||||
- **问题**: 5 个素材但只有 2 个 Whisper 字符时,边界索引重复,部分素材被跳过
|
||||
- **修复**: 加入 `n = min(n, len(all_chars))` 上限保护
|
||||
- **文件**: `backend/app/modules/videos/workflow.py`
|
||||
|
||||
#### 2. 多素材 LatentSync 单段失败无 fallback
|
||||
- **问题**: 单素材模式下 LatentSync 失败会 fallback 到原始素材,但多素材模式直接抛异常,整个任务失败
|
||||
- **修复**: 多素材循环中加 try-except,失败时 fallback 到原始素材片段
|
||||
- **文件**: `backend/app/modules/videos/workflow.py`
|
||||
|
||||
#### 3. `num_segments == 0` 时 ZeroDivisionError
|
||||
- **问题**: 所有 assignments 被跳过后 `i / num_segments` 触发除零
|
||||
- **修复**: 循环前加 `if num_segments == 0` 检查并抛出明确错误
|
||||
- **文件**: `backend/app/modules/videos/workflow.py`
|
||||
|
||||
#### 4. `split_audio` 未校验 duration > 0
|
||||
- **问题**: `end <= start` 时 FFmpeg 行为异常
|
||||
- **修复**: 加入 `if duration <= 0: raise ValueError(...)`
|
||||
- **文件**: `backend/app/services/video_service.py`
|
||||
|
||||
#### 5. Whisper 失败时按时长均分兜底
|
||||
- **问题**: Whisper 失败后直接退化为单素材,其他素材被浪费
|
||||
- **修复**: 按 `audio_duration / len(material_paths)` 均分,不依赖字符对齐
|
||||
- **文件**: `backend/app/modules/videos/workflow.py`
|
||||
|
||||
#### 6. `concat_videos` 空列表未检查
|
||||
- **问题**: 传入空 `video_paths` 时 FFmpeg 报错
|
||||
- **修复**: 加入 `if not video_paths: raise ValueError(...)`
|
||||
- **文件**: `backend/app/services/video_service.py`
|
||||
|
||||
---
|
||||
|
||||
### 二、前端优化
|
||||
|
||||
#### 1. payload 构建非空断言修复
|
||||
- `m!.path` → `m?.path` + `.filter(Boolean)`,防止素材被删后 crash
|
||||
- **文件**: `frontend/src/features/home/model/useHomeController.ts`
|
||||
|
||||
#### 2. 生成按钮展示后端进度消息
|
||||
- 新增 `message` prop,生成中显示如"(正在处理片段 2/3...)"
|
||||
- **文件**: `frontend/src/features/home/ui/GenerateActionBar.tsx`, `HomePage.tsx`
|
||||
|
||||
#### 3. 新上传素材自动选中
|
||||
- 上传成功后对比前后素材列表,新增的 ID 自动追加到 `selectedMaterials`
|
||||
- **文件**: `frontend/src/features/home/model/useMaterials.ts`
|
||||
|
||||
#### 4. Material 接口统一
|
||||
- 三处 `interface Material` 重复定义提取到 `shared/types/material.ts`
|
||||
- **文件**: `frontend/src/shared/types/material.ts` (新建), `useMaterials.ts`, `useHomeController.ts`, `MaterialSelector.tsx`
|
||||
|
||||
#### 5. 拖拽排序修复
|
||||
- 移除 `DragOverlay`(`backdrop-blur` 创建新 containing block 导致定位错乱)
|
||||
- 改为 `useSortable` 原生拖拽 + `CSS.Translate`,拖拽中元素高亮加阴影
|
||||
- **文件**: `frontend/src/features/home/ui/MaterialSelector.tsx`
|
||||
|
||||
#### 6. 素材选择上限 4 个
|
||||
- `toggleMaterial` 新增 `MAX_MATERIALS = 4` 限制
|
||||
- UI 选满后未选中项变半透明禁用,提示文字改为"可多选,最多4个"
|
||||
- **文件**: `useMaterials.ts`, `MaterialSelector.tsx`
|
||||
|
||||
#### 7. 移动端排序区域响应式
|
||||
- 素材列表 `max-h-64` → `max-h-48 sm:max-h-64`
|
||||
- **文件**: `MaterialSelector.tsx`
|
||||
|
||||
#### 8. 多素材耗时提示
|
||||
- 选中 ≥2 素材时生成按钮下方显示"多素材模式 (N 个机位),生成耗时较长"
|
||||
- **文件**: `GenerateActionBar.tsx`, `HomePage.tsx`
|
||||
|
||||
---
|
||||
|
||||
### 三、核心架构重构:先拼接再推理
|
||||
|
||||
#### V1 (Day 21): 逐段 LatentSync
|
||||
```
|
||||
素材A → LatentSync(素材A, 音频片段1) → lipsync_A
|
||||
素材B → LatentSync(素材B, 音频片段2) → lipsync_B
|
||||
FFmpeg concat(lipsync_A, lipsync_B) → 最终视频
|
||||
```
|
||||
- 缺点:N 个素材 = N 次 LatentSync 推理(每次 ~30s)
|
||||
|
||||
#### V2 (Day 22): 先拼接再推理
|
||||
```
|
||||
素材A → prepare_segment(裁剪到3.67s) → prepared_A
|
||||
素材B → prepare_segment(裁剪到4.00s) → prepared_B
|
||||
FFmpeg concat(prepared_A, prepared_B) → concat_video (7.67s)
|
||||
LatentSync(concat_video, 完整音频) → 最终视频
|
||||
```
|
||||
- 优点:只需 **1 次** LatentSync 推理,时间从 N×30s 降为 1×30s
|
||||
|
||||
#### 新增 `prepare_segment()` 方法
|
||||
```python
|
||||
def prepare_segment(self, video_path, target_duration, output_path, target_resolution=None):
|
||||
# 素材时长 > 目标: 裁剪 (-t)
|
||||
# 素材时长 < 目标: 循环 (-stream_loop) + 裁剪
|
||||
# 分辨率一致: -c copy 无损 (不重编码)
|
||||
# 分辨率不一致: scale + pad 统一到第一个素材分辨率
|
||||
```
|
||||
|
||||
#### 分辨率处理策略
|
||||
- 新增 `get_resolution()` 方法检测各素材分辨率
|
||||
- 所有素材分辨率相同时:`-c copy` 无损裁剪(保持原画质)
|
||||
- 分辨率不一致时:统一到第一个素材的分辨率,`force_original_aspect_ratio=decrease` + `pad` 居中
|
||||
- LatentSync 只处理嘴部 512×512 区域,输出保持原分辨率
|
||||
|
||||
#### 时间对齐验证
|
||||
|
||||
| 环节 | 时间基准 | 对齐关系 |
|
||||
|------|---------|---------|
|
||||
| TTS 音频 | 原始时长 (7.67s) | 基准 |
|
||||
| Whisper 字幕 | 基于 TTS 音频 | 时间戳对齐音频 |
|
||||
| 均分切分 | assignments 总时长 = 音频时长 | 首段 start=0, 末段 end=audio_duration |
|
||||
| prepare 各段 | `-t seg_dur` 精确截断 | 总和 ≈ 音频时长 |
|
||||
| LatentSync | concat_video + 完整音频 | 内部 0.5s 容差 |
|
||||
| compose | lipsync_video + 音频/BGM | `-shortest` 保证同步 |
|
||||
| Remotion | 基于 captions_path 渲染字幕 | 时间戳对齐音频 |
|
||||
|
||||
---
|
||||
|
||||
### 涉及文件汇总
|
||||
|
||||
| 文件 | 变更类型 | 说明 |
|
||||
|------|----------|------|
|
||||
| `backend/app/modules/videos/workflow.py` | 修改 | 6 个 Bug 修复 + 流水线重构(先拼接再推理)|
|
||||
| `backend/app/services/video_service.py` | 修改 | 新增 `prepare_segment()`、`get_resolution()`,`split_audio` 校验,`concat_videos` 空列表检查 |
|
||||
| `frontend/src/shared/types/material.ts` | 新建 | 统一 Material 接口 |
|
||||
| `frontend/src/features/home/model/useMaterials.ts` | 修改 | 上传自动选中、素材上限 4 个 |
|
||||
| `frontend/src/features/home/model/useHomeController.ts` | 修改 | payload 非空断言修复、Material 接口引用 |
|
||||
| `frontend/src/features/home/ui/MaterialSelector.tsx` | 修改 | 拖拽修复、上限 4 个 UI、移动端响应式 |
|
||||
| `frontend/src/features/home/ui/GenerateActionBar.tsx` | 修改 | 进度消息展示、多素材耗时提示 |
|
||||
| `frontend/src/features/home/ui/HomePage.tsx` | 修改 | 传递 message、materialCount prop |
|
||||
|
||||
---
|
||||
|
||||
### 四、AI 多语言翻译
|
||||
|
||||
#### 功能
|
||||
在文案编辑区新增「AI多语言」按钮,支持将中文口播文案一键翻译为 9 种语言,并可随时还原原文。
|
||||
|
||||
#### 支持语言
|
||||
英语 English、日语 日本語、韩语 한국어、法语 Français、德语 Deutsch、西班牙语 Español、俄语 Русский、意大利语 Italiano、葡萄牙语 Português
|
||||
|
||||
#### 实现
|
||||
|
||||
##### 后端
|
||||
- **`backend/app/services/glm_service.py`** — 新增 `translate_text()` 方法,调用智谱 GLM API(temperature=0.3),prompt 要求只返回译文、保持语气风格
|
||||
- **`backend/app/modules/ai/router.py`** — 新增 `POST /api/ai/translate` 接口,接收 `{text, target_lang}`,返回 `{translated_text}`
|
||||
|
||||
##### 前端
|
||||
- **`frontend/src/features/home/ui/ScriptEditor.tsx`** — 新增 `LANGUAGES` 列表(9 种语言)、语言下拉菜单(点击外部自动关闭)、翻译中 loading 状态、「还原原文」按钮(翻译过后出现在菜单顶部)
|
||||
- **`frontend/src/features/home/model/useHomeController.ts`** — 新增 `handleTranslate`(调用翻译 API、首次翻译保存原文)、`originalText` 状态、`handleRestoreOriginal`(恢复原文)
|
||||
|
||||
#### 涉及文件
|
||||
|
||||
| 文件 | 变更 | 说明 |
|
||||
|------|------|------|
|
||||
| `backend/app/services/glm_service.py` | 修改 | 新增 `translate_text()` 方法 |
|
||||
| `backend/app/modules/ai/router.py` | 修改 | 新增 `/api/ai/translate` 接口 |
|
||||
| `frontend/src/features/home/ui/ScriptEditor.tsx` | 修改 | 语言菜单 UI、翻译 loading、还原原文按钮 |
|
||||
| `frontend/src/features/home/model/useHomeController.ts` | 修改 | `handleTranslate`、`originalText`、`handleRestoreOriginal` |
|
||||
|
||||
---
|
||||
|
||||
### 五、TTS 多语言支持
|
||||
|
||||
#### 背景
|
||||
翻译功能实现后,用户可将中文文案翻译为其他语言。但翻译后生成视频时 TTS 仍只支持中文:
|
||||
- **EdgeTTS**:声音列表只有 5 个 `zh-CN-*` 中文声音
|
||||
- **声音克隆 (Qwen3-TTS)**:`language` 参数硬编码为 `"Chinese"`
|
||||
|
||||
#### 实现方案
|
||||
|
||||
##### 1. 前端:语言感知的声音列表
|
||||
- `VOICES` 从扁平数组扩展为 `Record<string, VoiceOption[]>`,覆盖 10 种语言(zh-CN / en-US / ja-JP / ko-KR / fr-FR / de-DE / es-ES / ru-RU / it-IT / pt-BR),每种语言 2 个声音(男/女)
|
||||
- 新增 `LANG_TO_LOCALE` 映射:翻译目标语言名 → EdgeTTS locale(如 `"English" → "en-US"`)
|
||||
- 新增 `textLang` 状态,跟踪当前文案语言,默认 `"zh-CN"`
|
||||
|
||||
##### 2. 翻译时自动切换声音
|
||||
- `handleTranslate` 成功后:根据目标语言设置 `textLang`,EdgeTTS 模式下自动切换 `voice` 为目标语言的默认声音
|
||||
- `handleRestoreOriginal` 还原时:重置 `textLang` 为 `"zh-CN"`,恢复中文默认声音
|
||||
- `VoiceSelector` 根据 `textLang` 动态显示对应语言的声音列表
|
||||
|
||||
##### 3. 声音克隆语言透传
|
||||
- 前端:新增 `LOCALE_TO_QWEN_LANG` 映射(`zh-CN→"Chinese"`, `en-US→"English"`, 其他→`"Auto"`)
|
||||
- 生成请求 payload 加入 `language` 字段(仅声音克隆模式)
|
||||
- 后端 `GenerateRequest` schema 新增 `language: str = "Chinese"` 字段
|
||||
- `workflow.py`:`language="Chinese"` 硬编码改为 `language=req.language`
|
||||
|
||||
##### 4. Bug 修复:textLang 持久化
|
||||
- **问题**: `voice` 已持久化但 `textLang` 未持久化,刷新页面后 `voice` 恢复为英文声音但 `textLang` 默认回中文,导致 VoiceSelector 显示中文声音列表却选中英文声音,无高亮按钮
|
||||
- **修复**: 在 `useHomePersistence` 中加入 `textLang` 的 localStorage 读写
|
||||
|
||||
#### 数据流
|
||||
|
||||
```
|
||||
用户翻译 "English"
|
||||
→ ScriptEditor.onTranslate("English")
|
||||
→ LANG_TO_LOCALE["English"] = "en-US"
|
||||
→ setTextLang("en-US"), setVoice("en-US-GuyNeural")
|
||||
→ VoiceSelector 显示 VOICES["en-US"] = [Guy, Jenny]
|
||||
→ 生成时:
|
||||
EdgeTTS: payload.voice = "en-US-GuyNeural"
|
||||
声音克隆: payload.language = "English" (via getQwenLanguage)
|
||||
```
|
||||
|
||||
#### 涉及文件
|
||||
|
||||
| 文件 | 变更 | 说明 |
|
||||
|------|------|------|
|
||||
| `frontend/src/features/home/model/useHomeController.ts` | 修改 | VOICES 多语言 Record、textLang 状态、LANG_TO_LOCALE / LOCALE_TO_QWEN_LANG 映射、翻译自动切换 voice |
|
||||
| `frontend/src/features/home/model/useHomePersistence.ts` | 修改 | textLang 持久化读写 |
|
||||
| `backend/app/modules/videos/schemas.py` | 修改 | GenerateRequest 加 `language` 字段 |
|
||||
| `backend/app/modules/videos/workflow.py` | 修改 | 声音克隆调用处用 `req.language` 替代硬编码 |
|
||||
856
Docs/DevLogs/Day23.md
Normal file
856
Docs/DevLogs/Day23.md
Normal file
@@ -0,0 +1,856 @@
|
||||
## 🎙️ 配音前置重构 — 第一阶段 (Day 23)
|
||||
|
||||
### 概述
|
||||
|
||||
将配音从视频生成流程中独立出来,实现"先生成配音 → 选中配音 → 再选素材 → 生成视频"的新工作流。用户可以独立管理配音(生成/试听/改名/删除/选择),并在选中配音后看到时长信息,为第二阶段的素材时间轴编排奠定数据基础。
|
||||
|
||||
**旧流程**: 文案 + 选素材 → 一键生成(内联 TTS → Whisper → 均分 → LipSync → 合成)
|
||||
**新流程**: 文案 → 配音方式 → **生成配音** → 选中配音 → 选素材 → 背景音乐 → 生成视频
|
||||
|
||||
---
|
||||
|
||||
### 一、后端:新增 `generated_audios` 模块
|
||||
|
||||
#### 模块结构
|
||||
|
||||
```
|
||||
backend/app/modules/generated_audios/
|
||||
├── __init__.py
|
||||
├── router.py # 5 个 API 端点
|
||||
├── schemas.py # 请求/响应模型
|
||||
└── service.py # 生成/列表/删除/改名
|
||||
```
|
||||
|
||||
#### API 端点
|
||||
|
||||
| 方法 | 路径 | 说明 |
|
||||
|------|------|------|
|
||||
| POST | `/api/generated-audios/generate` | 异步生成配音(返回 task_id) |
|
||||
| GET | `/api/generated-audios/tasks/{task_id}` | 轮询生成进度 |
|
||||
| GET | `/api/generated-audios` | 列出用户所有配音 |
|
||||
| DELETE | `/api/generated-audios/{audio_id}` | 删除配音 |
|
||||
| PUT | `/api/generated-audios/{audio_id}` | 改名 |
|
||||
|
||||
#### 存储方案
|
||||
|
||||
- Supabase 存储桶:`generated-audios`(启动时自动创建)
|
||||
- 音频文件:`{user_id}/{timestamp}_audio.wav`
|
||||
- 元数据文件:`{user_id}/{timestamp}_audio.json`(含 display_name、text、tts_mode、duration_sec 等)
|
||||
|
||||
#### 生成流程
|
||||
|
||||
复用现有 `TTSService` / `voice_clone_service` / `task_store`:
|
||||
|
||||
```
|
||||
POST /generate → 创建 task → BackgroundTask:
|
||||
1. edgetts → TTSService.generate_audio()
|
||||
voiceclone → 下载 ref_audio → voice_clone_service.generate_audio()
|
||||
2. ffprobe 获取时长
|
||||
3. 上传 .wav + .json 到 generated-audios 桶
|
||||
4. 更新 task(status=completed, output={audio_id, duration_sec, ...})
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 二、后端:修改视频生成 workflow
|
||||
|
||||
#### `GenerateRequest` 新增字段
|
||||
|
||||
```python
|
||||
generated_audio_id: Optional[str] = None # 预生成配音 ID(存在时跳过内联 TTS)
|
||||
```
|
||||
|
||||
#### `workflow.py` TTS 阶段新增分支
|
||||
|
||||
```python
|
||||
if req.generated_audio_id:
|
||||
# 下载预生成配音 + 从元数据读取 language
|
||||
elif req.tts_mode == "voiceclone":
|
||||
# 原有声音克隆逻辑
|
||||
else:
|
||||
# 原有 EdgeTTS 逻辑
|
||||
```
|
||||
|
||||
向后兼容:不传 `generated_audio_id` 时,原有内联 TTS 流程不受影响。
|
||||
|
||||
---
|
||||
|
||||
### 三、前端:新增配音列表 hook + 面板
|
||||
|
||||
#### `useGeneratedAudios.ts`
|
||||
|
||||
- 状态:`generatedAudios[]`、`selectedAudio`、`isGeneratingAudio`、`audioTask`
|
||||
- 方法:`fetchGeneratedAudios()`、`generateAudio()`、`deleteAudio()`、`renameAudio()`、`selectAudio()`
|
||||
- 轮询:生成后 1s 轮询 task 状态,完成后自动刷新列表并选中最新配音
|
||||
- 独立于视频生成的 TaskContext(不互相干扰)
|
||||
|
||||
#### `GeneratedAudiosPanel.tsx`
|
||||
|
||||
- 每条配音:播放/暂停、名称、时长、重命名、删除
|
||||
- 选中态:`border-purple-500 bg-purple-500/20`
|
||||
- 内嵌进度条(生成中显示)
|
||||
- 底部显示选中配音的原始文案(截断)
|
||||
- 播放逻辑自包含于面板内(`new Audio()` + play/pause toggle)
|
||||
|
||||
---
|
||||
|
||||
### 四、前端:UI 面板重排序
|
||||
|
||||
**旧顺序**: MaterialSelector → ScriptEditor → TitleSubtitle → VoiceSelector → BgmPanel → GenerateActionBar
|
||||
|
||||
**新顺序**:
|
||||
1. ScriptEditor(文案编辑)
|
||||
2. TitleSubtitlePanel(标题与字幕样式)
|
||||
3. VoiceSelector(配音方式)
|
||||
4. **GeneratedAudiosPanel**(配音列表)← 新增
|
||||
5. MaterialSelector(视频素材)← 后移,需选中配音才解锁
|
||||
6. BgmPanel(背景音乐)
|
||||
7. GenerateActionBar(生成视频)
|
||||
|
||||
#### 素材区门控
|
||||
|
||||
未选中配音时,素材区显示半透明遮罩 + "请先生成并选中配音"提示。素材上传/预览/改名/删除始终可用,仅选择勾选被遮罩。
|
||||
|
||||
#### 时长信息
|
||||
|
||||
选中配音后,MaterialSelector 顶部显示:
|
||||
```
|
||||
当前配音: 45.2 秒 | 已选 3 个素材(自动均分每段 ~15.1 秒)
|
||||
```
|
||||
|
||||
#### 生成按钮条件更新
|
||||
|
||||
```typescript
|
||||
// 旧条件
|
||||
disabled={isGenerating || selectedMaterials.length === 0 || (ttsMode === "voiceclone" && !selectedRefAudio)}
|
||||
// 新条件
|
||||
disabled={isGenerating || selectedMaterials.length === 0 || !selectedAudio}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 五、持久化
|
||||
|
||||
`useHomePersistence` 新增 `selectedAudioId` 的 localStorage 读写,刷新页面后恢复选中的配音。
|
||||
|
||||
---
|
||||
|
||||
### 涉及文件汇总
|
||||
|
||||
#### 后端新增
|
||||
|
||||
| 文件 | 说明 |
|
||||
|------|------|
|
||||
| `backend/app/modules/generated_audios/__init__.py` | 模块标记 |
|
||||
| `backend/app/modules/generated_audios/router.py` | 5 个 API 端点 |
|
||||
| `backend/app/modules/generated_audios/service.py` | 生成/列表/删除/改名 |
|
||||
| `backend/app/modules/generated_audios/schemas.py` | 请求/响应模型 |
|
||||
|
||||
#### 后端修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `backend/app/main.py` | 注册 generated_audios 路由 |
|
||||
| `backend/app/services/storage.py` | 新增 `BUCKET_GENERATED_AUDIOS`,启动时自动创建桶 |
|
||||
| `backend/app/modules/videos/schemas.py` | `GenerateRequest` 新增 `generated_audio_id` 字段 |
|
||||
| `backend/app/modules/videos/workflow.py` | TTS 阶段新增预生成音频分支 |
|
||||
|
||||
#### 前端新增
|
||||
|
||||
| 文件 | 说明 |
|
||||
|------|------|
|
||||
| `frontend/src/features/home/model/useGeneratedAudios.ts` | 配音列表 hook |
|
||||
| `frontend/src/features/home/ui/GeneratedAudiosPanel.tsx` | 配音列表面板 |
|
||||
|
||||
#### 前端修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `frontend/src/features/home/ui/HomePage.tsx` | 面板重排序 + 素材区门控 + 插入 GeneratedAudiosPanel |
|
||||
| `frontend/src/features/home/ui/MaterialSelector.tsx` | 新增 `selectedAudioDuration` prop + 时长信息显示 |
|
||||
| `frontend/src/features/home/ui/GenerateActionBar.tsx` | 禁用条件改为 `!selectedAudio` |
|
||||
| `frontend/src/features/home/model/useHomeController.ts` | 集成 useGeneratedAudios、新增 handleGenerateAudio、修改 handleGenerate 使用 generated_audio_id |
|
||||
| `frontend/src/features/home/model/useHomePersistence.ts` | 新增 selectedAudioId 持久化 |
|
||||
|
||||
---
|
||||
|
||||
## 🎞️ 素材时间轴编排 — 第二阶段 (Day 23)
|
||||
|
||||
### 概述
|
||||
|
||||
在第一阶段"配音前置"基础上,新增**时间轴编辑器**,用户可以:
|
||||
1. 在音频波形上查看各素材块的时长分配
|
||||
2. 拖拽分割线调整每段素材的时长(无缝铺满,调整一段自动压缩/扩展相邻段)
|
||||
3. 为每段素材设置**源视频截取起点**(从视频任意位置开始,而非始终从头)
|
||||
|
||||
**旧行为**: 多素材时自动均分(`_split_equal`),无法控制每段时长和源视频起始点
|
||||
**新行为**: 时间轴编辑器可视化分配 + 拖拽调整 + ClipTrimmer 截取设置
|
||||
|
||||
---
|
||||
|
||||
### 一、后端改动
|
||||
|
||||
#### 1.1 新增 `CustomAssignment` 模型
|
||||
|
||||
```python
|
||||
# backend/app/modules/videos/schemas.py
|
||||
class CustomAssignment(BaseModel):
|
||||
material_path: str
|
||||
start: float # 音频时间轴起点
|
||||
end: float # 音频时间轴终点
|
||||
source_start: float = 0.0 # 源视频截取起点
|
||||
```
|
||||
|
||||
`GenerateRequest` 新增 `custom_assignments: Optional[List[CustomAssignment]] = None`。存在时跳过 Whisper 均分,直接使用用户定义的分配。
|
||||
|
||||
#### 1.2 `prepare_segment` 支持 `source_start`
|
||||
|
||||
```python
|
||||
def prepare_segment(self, video_path, target_duration, output_path,
|
||||
target_resolution=None, source_start: float = 0.0):
|
||||
```
|
||||
|
||||
关键逻辑:
|
||||
- `source_start > 0` 时使用 `-ss` 快速 seek,并强制重编码(避免 stream copy 关键帧不精确)
|
||||
- 当需要循环且有 `source_start` 时,先裁剪出 `source_start` 到视频结尾的片段,再循环裁剪后的文件(避免 `stream_loop` 从视频 0s 开始循环)
|
||||
- 裁剪临时文件在 `finally` 中自动清理
|
||||
|
||||
#### 1.3 `workflow.py` 支持 `custom_assignments`
|
||||
|
||||
- **多素材模式**: `custom_assignments` 存在时,直接使用用户分配(仍运行 Whisper 生成字幕),每个 `prepare_segment` 调用传入 `source_start`
|
||||
- **单素材模式**: `custom_assignments` 有 1 条且 `source_start > 0` 时,先截取片段再传入 LatentSync
|
||||
- **向后兼容**: `custom_assignments` 为 `None` 时完全走旧路径
|
||||
|
||||
---
|
||||
|
||||
### 二、前端新增组件
|
||||
|
||||
#### 2.1 `useTimelineEditor.ts` — 时间轴段管理 hook
|
||||
|
||||
```typescript
|
||||
interface TimelineSegment {
|
||||
id: string; // React key
|
||||
materialId: string; // 素材 ID
|
||||
materialName: string; // 显示名
|
||||
start: number; // 音频时间轴开始秒数
|
||||
end: number; // 音频时间轴结束秒数
|
||||
sourceStart: number; // 源视频截取起点(默认 0)
|
||||
sourceEnd: number; // 源视频截取终点(0 = 到结尾)
|
||||
color: string; // 色块颜色
|
||||
}
|
||||
```
|
||||
|
||||
核心方法:
|
||||
- `initSegments()`: selectedMaterials 变化时按数量均分 audioDuration
|
||||
- `resizeSegment(id, newEnd)`: 拖拽右边界,约束每段最小 1s
|
||||
- `setSourceRange(id, sourceStart, sourceEnd)`: 设置截取范围
|
||||
- `toCustomAssignments()`: 转为后端 `CustomAssignment[]` 格式
|
||||
|
||||
#### 2.2 `TimelineEditor.tsx` — 波形 + 色块时间轴
|
||||
|
||||
- **wavesurfer.js** 渲染音频波形(仅展示,不播放)
|
||||
- 色块层按比例排列,显示素材名 + 时长 + 截取标记
|
||||
- 色块间分割线可拖拽(`onPointerDown/Move/Up` 实现连续像素拖拽)
|
||||
- 点击色块打开 ClipTrimmer
|
||||
|
||||
#### 2.3 `ClipTrimmer.tsx` — 素材截取模态框
|
||||
|
||||
- HTML5 `<video>` 实时预览,拖拽滑块时 `video.currentTime` 跟随
|
||||
- 双端 Range Slider(起点/终点),互锁约束 ≥ 0.5s
|
||||
- 显示截取时长 vs 分配时长对比(循环补足/截断提示)
|
||||
- `loadedmetadata` 获取源视频时长
|
||||
|
||||
---
|
||||
|
||||
### 三、前端整合改动
|
||||
|
||||
#### 3.1 `useHomeController.ts`
|
||||
|
||||
- 集成 `useTimelineEditor` hook
|
||||
- 新增 `clipTrimmerOpen` / `clipTrimmerSegmentId` 状态
|
||||
- `handleGenerate` 多素材时始终发送 `custom_assignments`;单素材 + `sourceStart > 0` 时也发送
|
||||
- 移除不再使用的 `reorderMaterials` 导出
|
||||
|
||||
#### 3.2 `HomePage.tsx`
|
||||
|
||||
- 在 MaterialSelector 和 BgmPanel 之间插入 TimelineEditor(仅当有配音且已选素材时显示)
|
||||
- 底部新增 ClipTrimmer 模态框
|
||||
- 移除 `reorderMaterials` 和 `selectedAudioDuration` prop 传递
|
||||
|
||||
#### 3.3 `MaterialSelector.tsx`
|
||||
|
||||
- 移除配音时长信息栏(功能迁至 TimelineEditor)
|
||||
- 移除拖拽排序区(SortableChip + @dnd-kit 相关代码)
|
||||
- 移除 `onReorderMaterials` / `selectedAudioDuration` prop
|
||||
|
||||
---
|
||||
|
||||
### 四、审查修复的 Bug
|
||||
|
||||
| # | 严重程度 | 问题 | 修复 |
|
||||
|---|---------|------|------|
|
||||
| 1 | **中** | `prepare_segment` 使用 `source_start > 0` + stream copy 时 seek 不精确 | 添加 `source_start > 0` 到重编码条件 |
|
||||
| 2 | **高** | `stream_loop + source_start` 循环时从视频 0s 开始而非从 source_start 循环 | 改为两步:先裁剪片段再循环裁剪后的文件 |
|
||||
| 3 | **低** | `useHomeController` 导出已废弃的 `reorderMaterials` | 移除 |
|
||||
|
||||
---
|
||||
|
||||
### 涉及文件汇总
|
||||
|
||||
#### 后端修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `backend/app/modules/videos/schemas.py` | 新增 `CustomAssignment` model,`GenerateRequest` 新增 `custom_assignments` 字段 |
|
||||
| `backend/app/services/video_service.py` | `prepare_segment` 新增 `source_start` 参数,循环+截取两步处理 |
|
||||
| `backend/app/modules/videos/workflow.py` | 多素材/单素材流水线支持 `custom_assignments`,传递 `source_start` |
|
||||
|
||||
#### 前端新增
|
||||
|
||||
| 文件 | 说明 |
|
||||
|------|------|
|
||||
| `frontend/src/features/home/model/useTimelineEditor.ts` | 时间轴段管理 hook |
|
||||
| `frontend/src/features/home/ui/TimelineEditor.tsx` | 波形 + 色块时间轴组件 |
|
||||
| `frontend/src/features/home/ui/ClipTrimmer.tsx` | 素材截取模态框 |
|
||||
|
||||
#### 前端修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `frontend/src/features/home/ui/HomePage.tsx` | 插入 TimelineEditor + ClipTrimmer |
|
||||
| `frontend/src/features/home/ui/MaterialSelector.tsx` | 移除时长信息 + 拖拽排序区 + 相关 prop |
|
||||
| `frontend/src/features/home/model/useHomeController.ts` | 集成 useTimelineEditor,handleGenerate 发送 custom_assignments |
|
||||
| `frontend/package.json` | 新增 `wavesurfer.js` 依赖 |
|
||||
|
||||
---
|
||||
|
||||
## 🎨 UI 体验优化 + TTS 稳定性修复 — 第三阶段 (Day 23)
|
||||
|
||||
### 概述
|
||||
|
||||
根据用户反馈,修复 6 项 UI 体验问题,同时修复声音克隆服务的 SoX 路径问题和显存缓存管理。
|
||||
|
||||
> **注**: Qwen3-TTS 已在后续被 CosyVoice 3.0 (端口 8010) 替换,以下记录为当时的修复过程。
|
||||
|
||||
---
|
||||
|
||||
### 一、Qwen3-TTS 稳定性修复 (已被 CosyVoice 3.0 替换)
|
||||
|
||||
#### 1.1 SoX PATH 修复
|
||||
|
||||
**问题**: PM2 启动 qwen-tts 时,`sox` 工具安装在 conda env 的 bin 目录中,系统 PATH 找不到,导致音频编解码走 fallback 路径(CPU 密集型),日志中出现 `SoX could not be found!` 警告。
|
||||
|
||||
**修复**: `run_qwen_tts.sh` 中 export conda env bin 到 PATH:
|
||||
|
||||
```bash
|
||||
export PATH="/home/rongye/ProgramFiles/miniconda3/envs/qwen-tts/bin:$PATH"
|
||||
```
|
||||
|
||||
#### 1.2 CUDA 缓存清理
|
||||
|
||||
**修复**: `qwen_tts_server.py` 每次生成完成后(无论成功或失败)调用 `torch.cuda.empty_cache()`,防止显存碎片累积。使用 `asyncio.to_thread()` 在线程池中运行推理,避免阻塞事件循环导致健康检查超时。
|
||||
|
||||
> **后续**: Qwen3-TTS 已停用,CosyVoice 3.0 沿用了相同的保护机制(GPU 推理锁、超时保护、显存清理、启动自检)。
|
||||
|
||||
---
|
||||
|
||||
### 二、配音列表按钮布局统一 (反馈 #1 + #6)
|
||||
|
||||
**问题**: `GeneratedAudiosPanel` 的试听按钮位于左侧(独立于 Edit/Delete),与 `RefAudioPanel` 的布局不一致。底部文案摘要区域不需要展示。
|
||||
|
||||
**修复**:
|
||||
- Play/Edit/Delete 按钮统一放在右侧同组,hover 显示,顺序为 试听→重命名→删除
|
||||
- 移除选中配音的文案摘要区域
|
||||
- 布局与 RefAudioPanel 一致:左侧名称+时长,右侧操作按钮组
|
||||
|
||||
---
|
||||
|
||||
### 三、视频素材区域移除配音依赖遮罩 (反馈 #2)
|
||||
|
||||
**问题**: MaterialSelector 被 `!selectedAudio` 遮罩覆盖,必须先选配音才能操作素材。
|
||||
|
||||
**修复**: 移除 `HomePage.tsx` 中 MaterialSelector 外层的 disabled overlay `<div>`。素材随时可上传/预览/管理,仅 TimelineEditor 需要选中配音才显示(已有独立条件 `selectedAudio && selectedMaterials.length > 0`)。
|
||||
|
||||
---
|
||||
|
||||
### 四、时间轴拖拽排序 (反馈 #3)
|
||||
|
||||
**问题**: TimelineEditor 不支持调换素材顺序。
|
||||
|
||||
**修复**:
|
||||
- `useTimelineEditor` 已有 `reorderSegments()` 方法(交换两个段的素材信息但保留时间范围)
|
||||
- 通过 `useHomeController` 暴露 `reorderSegments`,传入 `TimelineEditor`
|
||||
- 色块支持 HTML5 Drag & Drop:`draggable` + `onDragStart/Over/Drop/End`
|
||||
- 拖拽时:源色块半透明(`opacity-50`),目标色块高亮 ring(`ring-2 ring-purple-400 scale-[1.02]`)
|
||||
- 光标样式:`cursor-grab` / `active:cursor-grabbing`
|
||||
|
||||
---
|
||||
|
||||
### 五、截取设置双手柄 Range Slider (反馈 #4)
|
||||
|
||||
**问题**: ClipTrimmer 使用两个独立的 `<input type="range">` 滑块,起点和终点分开操作,体验不直观。
|
||||
|
||||
**修复**: 改为自定义双手柄 range slider:
|
||||
- 单条轨道,紫色圆形手柄(起点)+ 粉色圆形手柄(终点)
|
||||
- 轨道底色 `bg-white/10`,选中范围用素材对应颜色高亮
|
||||
- Pointer Events 实现拖拽:`onPointerDown` 捕获手柄 → `onPointerMove` 更新位置 → `onPointerUp` 释放
|
||||
- 手柄互锁约束:起点不超过终点 - 0.5s,终点不低于起点 + 0.5s
|
||||
- 底部显示起点(紫色)和终点(粉色)时间标签
|
||||
|
||||
---
|
||||
|
||||
### 六、截取设置视频预览 (反馈 #5)
|
||||
|
||||
**问题**: ClipTrimmer 的视频只能静态查看,无法播放预览截取范围。
|
||||
|
||||
**修复**:
|
||||
- 视频区域点击可播放/暂停(Play/Pause 图标覆盖层)
|
||||
- 播放范围:从 sourceStart 播放到 sourceEnd 自动停止
|
||||
- 播放结束后回到起点
|
||||
- 拖拽手柄时 `video.currentTime` 实时跟随(seek 到当前位置查看画面)
|
||||
- 播放进度条(白色竖线)叠加在 range slider 轨道上
|
||||
- `preload="auto"` 预加载视频,确保拖拽时快速 seek
|
||||
|
||||
---
|
||||
|
||||
### 涉及文件汇总
|
||||
|
||||
#### 后端修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `run_qwen_tts.sh` | export conda env bin 到 PATH,修复 SoX 找不到问题 (已停用) |
|
||||
| `models/Qwen3-TTS/qwen_tts_server.py` | 每次生成后 `torch.cuda.empty_cache()`,asyncio.to_thread 避免阻塞 (已停用) |
|
||||
|
||||
#### 前端修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `frontend/src/features/home/ui/GeneratedAudiosPanel.tsx` | 按钮布局统一(Play/Edit/Delete 右侧同组),移除文案摘要 |
|
||||
| `frontend/src/features/home/ui/HomePage.tsx` | 移除 MaterialSelector 配音遮罩,传入 onReorderSegment |
|
||||
| `frontend/src/features/home/ui/TimelineEditor.tsx` | 新增 HTML5 Drag & Drop 排序,新增 onReorderSegment prop |
|
||||
| `frontend/src/features/home/ui/ClipTrimmer.tsx` | 双手柄 range slider + 视频播放预览 + 播放进度指示 |
|
||||
| `frontend/src/features/home/model/useHomeController.ts` | 暴露 reorderSegments 方法 |
|
||||
|
||||
---
|
||||
|
||||
## 📝 历史文案保存 + 时间轴拖拽修复 — 第四阶段 (Day 23)
|
||||
|
||||
### 概述
|
||||
|
||||
新增文案手动保存与加载功能,修复时间轴拖拽排序后素材时长不跟随的 Bug,统一按钮视觉规范。
|
||||
|
||||
---
|
||||
|
||||
### 一、历史文案保存与加载
|
||||
|
||||
#### 功能
|
||||
|
||||
用户可手动保存当前文案到历史列表,随时从历史中加载恢复。只有手动保存的文案才出现在历史列表中,与自动保存(`useHomePersistence`)完全独立。
|
||||
|
||||
#### UI 布局
|
||||
|
||||
```
|
||||
按钮栏: [历史文案▼] [文案提取助手] [AI多语言▼] [AI生成标题标签]
|
||||
底部栏: 128 字 [保存文案]
|
||||
```
|
||||
|
||||
- **历史文案下拉**: 展示已保存列表(名称 + 日期 + 删除按钮),点击条目加载文案,空列表显示"暂无保存的文案"
|
||||
- **保存文案按钮**: 文案为空时 disabled,点击后 `toast.success("文案已保存")`
|
||||
- **预计时长已移除**: 底部栏只保留字数 + 保存按钮
|
||||
|
||||
#### 实现
|
||||
|
||||
##### `useSavedScripts.ts`(新建)
|
||||
|
||||
```typescript
|
||||
interface SavedScript { id: string; name: string; content: string; savedAt: number }
|
||||
```
|
||||
|
||||
- localStorage key: `vigent_{storageKey}_savedScripts`
|
||||
- `saveScript(content)`: 取前 15 字符自动命名,新条目插入列表头部,**直接写入 localStorage**
|
||||
- `deleteScript(id)`: 删除指定条目,直接写入 localStorage
|
||||
- `useEffect([lsKey])`: lsKey 变化时(guest → userId)重新从 localStorage 读取
|
||||
- **不使用自动持久化 effect**,避免 storageKey 切换时空数组覆盖已有数据
|
||||
|
||||
##### 数据流
|
||||
|
||||
```
|
||||
ScriptEditor (UI)
|
||||
↑ savedScripts / onSaveScript / onLoadScript / onDeleteScript (纯 props + callbacks)
|
||||
│
|
||||
useHomeController
|
||||
├── useSavedScripts(storageKey) → { savedScripts, saveScript, deleteScript }
|
||||
└── handleSaveScript() → saveScript(text) + toast
|
||||
│
|
||||
HomePage
|
||||
└── 传递 props 到 ScriptEditor
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 二、时间轴拖拽排序 Bug 修复
|
||||
|
||||
#### 问题
|
||||
|
||||
拖拽调换素材顺序后,各素材的时长没有跟随素材移动,而是留在原槽位。例如:素材1(3s) + 素材2(8s+4s循环),拖拽后变成素材2(3s) + 素材1(8s+4s循环),时长分配没变。
|
||||
|
||||
#### 根因
|
||||
|
||||
`reorderSegments` 使用**属性交换**方式:逐个拷贝 `materialId`、`sourceStart`、`sourceEnd` 等属性在两个槽位间交换,然后调用 `recalcPositions` 重算位置。
|
||||
|
||||
#### 修复
|
||||
|
||||
改为**数组移动**(splice):将整个 segment 对象从旧位置取出,插入到新位置。segment 对象携带全部属性(materialId、sourceStart、sourceEnd、color 等)作为一个整体移动,再由 `recalcPositions` 重算位置。
|
||||
|
||||
```typescript
|
||||
// 修复前:属性交换
|
||||
const fromMat = { materialId: next[fromIdx].materialId, ... };
|
||||
const toMat = { materialId: next[toIdx].materialId, ... };
|
||||
next[fromIdx] = { ...next[fromIdx], ...toMat };
|
||||
next[toIdx] = { ...next[toIdx], ...fromMat };
|
||||
|
||||
// 修复后:数组移动
|
||||
const [moved] = next.splice(fromIdx, 1);
|
||||
next.splice(toIdx, 0, moved);
|
||||
```
|
||||
|
||||
附带优势:3+ 素材拖拽行为从"交换"变为"插入",更符合用户直觉。
|
||||
|
||||
---
|
||||
|
||||
### 三、按钮视觉统一
|
||||
|
||||
#### 问题
|
||||
|
||||
历史文案、文案提取助手、AI多语言、AI生成标题标签 4 个按钮高度不一致,AI 按钮的文本被 `<span>` 嵌套包裹导致内部布局差异。
|
||||
|
||||
#### 修复
|
||||
|
||||
- 4 个按钮统一为 `h-7 px-2.5 text-xs rounded inline-flex items-center gap-1`(固定高度 28px)
|
||||
- 移除 AI多语言 / AI生成标题标签 按钮内多余的 `<span>` 嵌套,改为 `<>...</>` fragment
|
||||
|
||||
---
|
||||
|
||||
### 涉及文件汇总
|
||||
|
||||
#### 前端新增
|
||||
|
||||
| 文件 | 说明 |
|
||||
|------|------|
|
||||
| `frontend/src/features/home/model/useSavedScripts.ts` | 历史文案 hook(localStorage 持久化) |
|
||||
|
||||
#### 前端修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `frontend/src/features/home/ui/ScriptEditor.tsx` | 历史文案下拉 + 保存按钮 + 移除预计时长 + 按钮高度统一 |
|
||||
| `frontend/src/features/home/model/useHomeController.ts` | 集成 useSavedScripts,新增 handleSaveScript |
|
||||
| `frontend/src/features/home/ui/HomePage.tsx` | 传递 savedScripts / handleSaveScript / deleteSavedScript 到 ScriptEditor |
|
||||
| `frontend/src/features/home/model/useTimelineEditor.ts` | reorderSegments 从属性交换改为数组移动(splice) |
|
||||
|
||||
---
|
||||
|
||||
## 🔤 字幕语言不匹配 + 视频比例错位修复 — 第五阶段 (Day 23)
|
||||
|
||||
### 概述
|
||||
|
||||
修复两个视频生成 Bug:
|
||||
1. **字幕语言不匹配**: 中文配音 + 英文翻译文案 → 字幕错误显示英文(Whisper 独立转录,忽略原文)
|
||||
2. **标题字幕比例错位**: 9:16 竖屏素材生成视频后,标题/字幕按 16:9 横屏布局渲染
|
||||
|
||||
附带修复代码审查中发现的 `split_word_to_chars` 英文空格丢失问题。
|
||||
|
||||
---
|
||||
|
||||
### 一、字幕用原文替换 Whisper 转录文字
|
||||
|
||||
#### 根因
|
||||
|
||||
Whisper 对音频独立转录,完全忽略传入的 `text` 参数。当配音语言与编辑器文案语言不一致时(例如:用户先写中文文案 → 翻译成英文 → 生成英文配音 → 再改回中文文案),Whisper "听到"英文语音就输出英文字幕。
|
||||
|
||||
#### 修复思路
|
||||
|
||||
Whisper 仅负责检测**语音总时间范围**(`first_start` → `last_end`),字幕文字永远用配音保存的原始文案。
|
||||
|
||||
#### `whisper_service.py` — `align()` 新增 `original_text` 参数
|
||||
|
||||
```python
|
||||
async def align(self, audio_path, text, output_path=None,
|
||||
language="zh", original_text=None):
|
||||
```
|
||||
|
||||
当 `original_text` 非空时:
|
||||
1. 正常运行 Whisper 转录,记录 `whisper_first_start` 和 `whisper_last_end`
|
||||
2. 将 `original_text` 传入 `split_word_to_chars()` 在总时间范围上线性分布
|
||||
3. 用 `split_segment_to_lines()` 按标点和字数断行
|
||||
4. 替换 Whisper 的转录结果
|
||||
|
||||
#### `workflow.py` — 配音元数据无条件覆盖 + 传入原文
|
||||
|
||||
```python
|
||||
# 改前(只在文案为空时覆盖)
|
||||
if not req.text.strip():
|
||||
req.text = meta.get("text", req.text)
|
||||
|
||||
# 改后(无条件用配音元数据覆盖)
|
||||
meta_text = meta.get("text", "")
|
||||
if meta_text:
|
||||
req.text = meta_text
|
||||
```
|
||||
|
||||
所有 4 处 `whisper_service.align()` 调用添加 `original_text=req.text`。
|
||||
|
||||
---
|
||||
|
||||
### 二、Remotion 动态传入视频尺寸
|
||||
|
||||
#### 根因
|
||||
|
||||
`remotion/src/Root.tsx` 硬编码 `width={1280} height={720}`。虽然 `render.ts` 用 ffprobe 检测真实尺寸后覆盖 `composition.width/height`,但 `selectComposition` 阶段组件已按 1280×720 初始化,标题和字幕定位基于错误的画布尺寸。
|
||||
|
||||
#### 修复
|
||||
|
||||
##### `Root.tsx` — `calculateMetadata` 从 props 读取尺寸
|
||||
|
||||
```tsx
|
||||
<Composition
|
||||
id="ViGentVideo"
|
||||
component={Video}
|
||||
durationInFrames={300}
|
||||
fps={25}
|
||||
width={1080}
|
||||
height={1920}
|
||||
calculateMetadata={async ({ props }) => ({
|
||||
width: props.width || 1080,
|
||||
height: props.height || 1920,
|
||||
})}
|
||||
defaultProps={{
|
||||
videoSrc: '',
|
||||
width: 1080,
|
||||
height: 1920,
|
||||
// ...
|
||||
}}
|
||||
/>
|
||||
```
|
||||
|
||||
默认从 1280×720 改为 1080×1920(竖屏优先),`calculateMetadata` 确保 `selectComposition` 阶段使用 ffprobe 检测的真实尺寸。
|
||||
|
||||
##### `Video.tsx` — VideoProps 新增可选 `width/height`
|
||||
|
||||
仅供 `calculateMetadata` 访问,组件渲染不引用。
|
||||
|
||||
##### `render.ts` — inputProps 统一传入视频尺寸
|
||||
|
||||
```typescript
|
||||
const inputProps = {
|
||||
videoSrc: videoFileName,
|
||||
captions,
|
||||
title: options.title,
|
||||
// ...
|
||||
width: videoWidth, // ffprobe 检测值
|
||||
height: videoHeight, // ffprobe 检测值
|
||||
};
|
||||
```
|
||||
|
||||
`selectComposition` 和 `renderMedia` 使用同一个 `inputProps`。保留显式 `composition.width/height` 覆盖作为保险。
|
||||
|
||||
---
|
||||
|
||||
### 三、代码审查修复:英文空格丢失
|
||||
|
||||
#### 问题
|
||||
|
||||
`split_word_to_chars` 原设计处理 Whisper 单个词(如 `" Hello"`),但 `original_text` 传入整段文本时,中间空格被 `continue` 跳过且不 flush `ascii_buffer`,导致 `"Hello World"` 变成 `"HelloWorld"`。
|
||||
|
||||
#### 执行路径追踪
|
||||
|
||||
```
|
||||
输入: "Hello World"
|
||||
H,e,l,l,o → ascii_buffer = "Hello"
|
||||
' ' → continue(跳过,不 flush!)
|
||||
W,o,r,l,d → ascii_buffer = "HelloWorld"
|
||||
结果: tokens = ["HelloWorld"] ← 空格丢失
|
||||
```
|
||||
|
||||
#### 修复
|
||||
|
||||
遇到空格时 flush `ascii_buffer`,并用 `pending_space` 标记给下一个 token 前置空格:
|
||||
|
||||
```python
|
||||
if not char.strip():
|
||||
if ascii_buffer:
|
||||
tokens.append(ascii_buffer)
|
||||
ascii_buffer = ""
|
||||
if tokens:
|
||||
pending_space = True
|
||||
continue
|
||||
```
|
||||
|
||||
修复后:`"Hello World"` → tokens = `["Hello", " World"]` → 字幕正确显示。中文不受影响。
|
||||
|
||||
---
|
||||
|
||||
### 涉及文件汇总
|
||||
|
||||
#### 后端修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `backend/app/services/whisper_service.py` | `align()` 新增 `original_text` 参数;`split_word_to_chars` 修复英文空格丢失 |
|
||||
| `backend/app/modules/videos/workflow.py` | 配音元数据无条件覆盖 text/language;4 处 `align()` 调用传入 `original_text` |
|
||||
|
||||
#### 前端修改(Remotion)
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `remotion/src/Root.tsx` | 默认尺寸改为 1080×1920,新增 `calculateMetadata` + width/height defaultProps |
|
||||
| `remotion/src/Video.tsx` | VideoProps 新增可选 `width`/`height` |
|
||||
| `remotion/render.ts` | inputProps 统一传入 `videoWidth`/`videoHeight`,selectComposition 和 renderMedia 共用 |
|
||||
|
||||
---
|
||||
|
||||
## 🎤 参考音频自动转写 + 语速控制 — 第六阶段 (Day 23)
|
||||
|
||||
### 概述
|
||||
|
||||
解决声音克隆 ref_text 不匹配问题:旧方案使用前端固定文字作为 ref_text,CosyVoice zero-shot 克隆要求 ref_text 必须与参考音频实际内容匹配,不匹配时模型会在生成音频开头"幻觉"出多余片段。
|
||||
|
||||
**改进**:上传参考音频时自动调用 Whisper 转写内容作为 ref_text,同时新增语速控制功能。
|
||||
|
||||
---
|
||||
|
||||
### 一、Whisper 自动转写参考音频
|
||||
|
||||
#### 1.1 `whisper_service.py` — 语言自动检测
|
||||
|
||||
`transcribe()` 方法原先硬编码 `language="zh"`,改为接受可选 `language` 参数(默认 `None` = 自动检测),支持多语言参考音频。
|
||||
|
||||
#### 1.2 `ref_audios/service.py` — 上传时自动转写
|
||||
|
||||
上传流程变更:转码 WAV → 检查时长(≥1s) → 超 10s 在静音点截取 → **Whisper 自动转写** → 验证非空 → 上传。
|
||||
|
||||
```python
|
||||
try:
|
||||
transcribed = await whisper_service.transcribe(tmp_wav_path)
|
||||
if transcribed.strip():
|
||||
ref_text = transcribed.strip()
|
||||
except Exception as e:
|
||||
logger.warning(f"Auto-transcribe failed: {e}")
|
||||
|
||||
if not ref_text or not ref_text.strip():
|
||||
raise ValueError("无法识别音频内容,请确保音频包含清晰的语音")
|
||||
```
|
||||
|
||||
#### 1.3 `ref_audios/router.py` — ref_text 改为可选
|
||||
|
||||
`ref_text: str = Form("")`(不再必填),前端不再发送固定文字。
|
||||
|
||||
---
|
||||
|
||||
### 二、参考音频智能截取(10 秒上限)
|
||||
|
||||
CosyVoice 对 3-10 秒参考音频效果最好。
|
||||
|
||||
#### 2.1 静音点检测
|
||||
|
||||
使用 ffmpeg `silencedetect` 找 10 秒内最后一个静音结束点(阈值 -30dB,最短 0.3s),避免在字词中间硬切:
|
||||
|
||||
```python
|
||||
def _find_silence_cut_point(file_path, max_duration):
|
||||
# silencedetect → 解析 silence_end → 找 3s~max_duration 内最后的静音点
|
||||
# 找不到则回退到 max_duration
|
||||
```
|
||||
|
||||
#### 2.2 淡出处理
|
||||
|
||||
截取时末尾 0.1 秒淡出(`afade=t=out`),避免截断爆音。
|
||||
|
||||
---
|
||||
|
||||
### 三、重新识别功能(旧数据迁移)
|
||||
|
||||
#### 3.1 新增 API
|
||||
|
||||
`POST /api/ref-audios/{audio_id}/retranscribe` — 下载音频 → 超 10s 截取 → Whisper 转写 → 重新上传音频和元数据。
|
||||
|
||||
#### 3.2 前端 UI
|
||||
|
||||
- RefAudioPanel 新增 RotateCw 按钮("重新识别文字"),转写中显示 `animate-spin`
|
||||
- 旧音频 ref_text 以固定文字开头时显示 ⚠ 黄色警告
|
||||
|
||||
---
|
||||
|
||||
### 四、语速控制(CosyVoice speed 参数)
|
||||
|
||||
#### 4.1 全链路传递
|
||||
|
||||
```
|
||||
前端 GeneratedAudiosPanel (速度选择器)
|
||||
→ useHomeController (speed state + persistence)
|
||||
→ useGeneratedAudios.generateAudio(params)
|
||||
→ POST /api/generated-audios/generate { speed: 1.0 }
|
||||
→ GenerateAudioRequest.speed (Pydantic)
|
||||
→ generate_audio_task → voice_clone_service.generate_audio(speed=)
|
||||
→ _generate_once → POST /generate { speed: "1.0" }
|
||||
→ cosyvoice_server → _model.inference_zero_shot(speed=speed)
|
||||
```
|
||||
|
||||
#### 4.2 前端 UI
|
||||
|
||||
声音克隆模式下,配音列表面板标题栏"生成配音"按钮左侧显示语速下拉菜单(`语速: 正常 ▼`):
|
||||
|
||||
| 标签 | speed 值 |
|
||||
|------|----------|
|
||||
| 较慢 | 0.8 |
|
||||
| 稍慢 | 0.9 |
|
||||
| 正常 | 1.0 (默认) |
|
||||
| 稍快 | 1.1 |
|
||||
| 较快 | 1.2 |
|
||||
|
||||
语速选择持久化到 localStorage(`vigent_{storageKey}_speed`)。
|
||||
|
||||
---
|
||||
|
||||
### 五、缺少参考音频门控
|
||||
|
||||
声音克隆模式下未选参考音频时:
|
||||
- "生成配音"按钮禁用 + title 提示"请先选择参考音频"
|
||||
- 面板内显示黄色警告条"声音克隆模式需要先选择参考音频"
|
||||
|
||||
---
|
||||
|
||||
### 六、前端清理
|
||||
|
||||
- 移除 `FIXED_REF_TEXT` 常量和 `fixedRefText` prop
|
||||
- 移除"请朗读以下内容"引导区块
|
||||
- 上传提示简化为"上传任意语音样本(3-10秒),系统将自动识别内容并克隆声音"
|
||||
- 录音区备注"建议 3-10 秒,超出将自动截取"
|
||||
|
||||
---
|
||||
|
||||
### 涉及文件汇总
|
||||
|
||||
#### 后端修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `backend/app/services/whisper_service.py` | `transcribe()` 增加可选 `language` 参数,默认 None (自动检测) |
|
||||
| `backend/app/modules/ref_audios/service.py` | 上传自动转写 + 静音点截取 + 淡出 + retranscribe 函数 |
|
||||
| `backend/app/modules/ref_audios/router.py` | `ref_text` 改为 Form(""),新增 retranscribe 端点 |
|
||||
| `backend/app/modules/generated_audios/schemas.py` | `GenerateAudioRequest` 新增 `speed: float = 1.0` |
|
||||
| `backend/app/modules/generated_audios/service.py` | 传递 `req.speed` 到 voice_clone_service |
|
||||
| `backend/app/services/voice_clone_service.py` | `generate_audio()` / `_generate_once()` 接受并传递 speed |
|
||||
| `models/CosyVoice/cosyvoice_server.py` | `/generate` 端点接受 `speed` 参数,传递到 `inference_zero_shot(speed=)` |
|
||||
|
||||
#### 前端修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `frontend/src/features/home/model/useHomeController.ts` | 新增 speed state,移除 FIXED_REF_TEXT,handleGenerateAudio 传 speed |
|
||||
| `frontend/src/features/home/model/useHomePersistence.ts` | 新增 speed 持久化 |
|
||||
| `frontend/src/features/home/model/useRefAudios.ts` | 移除 fixedRefText,新增 retranscribe |
|
||||
| `frontend/src/features/home/model/useGeneratedAudios.ts` | generateAudio params 新增 speed |
|
||||
| `frontend/src/features/home/ui/GeneratedAudiosPanel.tsx` | 新增语速选择器 + 缺少参考音频门控 |
|
||||
| `frontend/src/features/home/ui/RefAudioPanel.tsx` | 移除朗读引导,新增重新识别按钮 + ⚠ 警告 |
|
||||
| `frontend/src/features/home/ui/HomePage.tsx` | 传递 speed/setSpeed/ttsMode 到 GeneratedAudiosPanel |
|
||||
185
Docs/DevLogs/Day24.md
Normal file
185
Docs/DevLogs/Day24.md
Normal file
@@ -0,0 +1,185 @@
|
||||
## 🔧 鉴权到期治理 + 多素材时间轴稳定性修复 (Day 24)
|
||||
|
||||
### 概述
|
||||
|
||||
本日主要完成两条主线:
|
||||
|
||||
1. **账号与鉴权治理**:会员到期改为请求时自动失效(登录/鉴权接口触发),并统一返回续费提示。
|
||||
2. **视频生成稳定性**:围绕多素材时间轴、截取语义、拼接边界冻结、画面比例与字幕标题适配进行一轮端到端修复。
|
||||
|
||||
---
|
||||
|
||||
## 🔐 会员到期请求时失效 — 第一阶段 (Day 24)
|
||||
|
||||
### 目标
|
||||
|
||||
避免依赖定时任务,用户在触发登录或访问受保护接口时即可完成到期判定与账号停用。
|
||||
|
||||
### 行为调整
|
||||
|
||||
- 到期判断基于 `users.expires_at`。
|
||||
- 判定到期后:
|
||||
- 将 `is_active` 自动置为 `false`
|
||||
- 删除该用户全部 session
|
||||
- 返回 `403`,提示:`会员已到期,请续费`
|
||||
|
||||
### 实现点
|
||||
|
||||
- `users.py` 新增 `deactivate_user_if_expired()`,并补充 `_parse_expires_at()` 统一时区解析。
|
||||
- `deps.py` 在 `get_current_user` / `get_current_user_optional` 中统一接入到期检查。
|
||||
- `auth/router.py` 在登录路径增加到期停用逻辑;`/api/auth/me` 统一走 `Depends(get_current_user)`。
|
||||
|
||||
---
|
||||
|
||||
## 🖼️ 画面比例控制 + 字幕标题适配 — 第二阶段 (Day 24)
|
||||
|
||||
### 2.1 输出画面比例可配置
|
||||
|
||||
- 时间轴顶部新增“画面比例”下拉:`9:16` / `16:9`。
|
||||
- 默认值 `9:16`,并持久化到 localStorage。
|
||||
- 生成请求携带 `output_aspect_ratio`,后端在单素材与多素材流程中统一按目标分辨率处理。
|
||||
|
||||
### 2.2 标题/字幕在窄屏画布防溢出
|
||||
|
||||
为减少“预览正常、成片溢出”的差异,统一了预览与渲染策略:
|
||||
|
||||
- 根据 composition 宽度进行响应式缩放。
|
||||
- 开启可换行:`white-space: normal` + `word-break` + `overflow-wrap`。
|
||||
- 描边、字距、上下边距同步按比例缩放。
|
||||
|
||||
### 2.3 片头标题显示模式(短暂/常驻)
|
||||
|
||||
- 在“标题与字幕”面板的“片头标题”行尾新增下拉,支持:`短暂显示` / `常驻显示`。
|
||||
- 默认模式为 `短暂显示`,短暂模式默认时长为 4 秒。
|
||||
- 用户选择会持久化到 localStorage,刷新后保持上次配置。
|
||||
- 生成请求新增 `title_display_mode`,短暂模式透传 `title_duration=4.0`。
|
||||
- Remotion 端到端支持该参数:
|
||||
- `short`:标题在设定时长后淡出并结束渲染;
|
||||
- `persistent`:标题全程常驻(保留淡入动画,不执行淡出)。
|
||||
|
||||
---
|
||||
|
||||
## 🎥 方向归一化 + 多素材拼接稳定性 — 第三阶段 (Day 24)
|
||||
|
||||
### 3.1 MOV 旋转元数据导致横竖识别错误
|
||||
|
||||
问题场景:编码分辨率是横屏,但依赖 rotation side-data 才能正确显示为竖屏(常见于手机 MOV)。
|
||||
|
||||
修复方案:
|
||||
|
||||
- `get_video_metadata()` 扩展返回 `rotation/effective_width/effective_height`。
|
||||
- 新增 `normalize_orientation()`,在流程前对带旋转元数据素材做物理方向归一化。
|
||||
- 单素材和多素材下载后统一执行方向归一化,再做分辨率决策。
|
||||
|
||||
### 3.2 多素材“只看到第一段”与边界冻结
|
||||
|
||||
针对拼接可靠性补了两类保护:
|
||||
|
||||
- **分配保护**:`custom_assignments` 与素材数量不一致时,后端回退自动分配,避免异常输入导致仅首段生效。
|
||||
- **编码一致性**:
|
||||
- 片段准备阶段统一重编码;
|
||||
- concat 阶段不再走拷贝;
|
||||
- 进一步统一为 `25fps + CFR`,并在 concat 增加 `+genpts`,降低段边界时间基不连续导致的“画面冻结口型还动”风险。
|
||||
|
||||
---
|
||||
|
||||
## ⏱️ 时间轴截取语义对齐修复 — 第四阶段 (Day 24)
|
||||
|
||||
### 背景
|
||||
|
||||
时间轴设计语义是:
|
||||
|
||||
- 每段可以设置 `sourceStart/sourceEnd`;
|
||||
- 总时长超出音频时,仅保留可见段,末段截齐音频;
|
||||
- 总时长不足时,由最后可见段循环补齐。
|
||||
|
||||
本日将前后端对齐到这一语义。
|
||||
|
||||
### 4.1 `source_end` 全链路打通
|
||||
|
||||
此前仅传 `source_start`,导致后端无法准确知道“截到哪里”。
|
||||
|
||||
本次改动:
|
||||
|
||||
- 前端 `toCustomAssignments()` 增加可选 `source_end`。
|
||||
- 后端 `CustomAssignment` schema 增加 `source_end`。
|
||||
- workflow 将 `source_end` 透传到 `prepare_segment()`(单素材/多素材均支持)。
|
||||
- `prepare_segment()` 增加 `source_end` 参数,按 `[source_start, source_end)` 计算可用片段,并在需要循环时先裁剪再循环,避免循环范围错位。
|
||||
|
||||
### 4.2 时间轴有效时长计算修复
|
||||
|
||||
修复 `sourceStart > 0 且 sourceEnd = 0` 时的有效时长错误:
|
||||
|
||||
- 旧逻辑会按整段素材时长计算;
|
||||
- 新逻辑改为 `materialDuration - sourceStart`。
|
||||
|
||||
该修复同时用于:
|
||||
|
||||
- `recalcPositions()` 的段时长计算;
|
||||
- TimelineEditor 中“循环补足”可视化比例计算。
|
||||
|
||||
### 4.3 可见段分配优先级修复
|
||||
|
||||
修复“可见段数 < 已选素材数时,custom_assignments 被丢弃回退自动分配”的问题:
|
||||
|
||||
- 生成请求优先以时间轴可见段的 `assignments` 为准;
|
||||
- 超出时间轴的素材不参与本次生成。
|
||||
|
||||
### 4.4 单素材截取触发条件补齐
|
||||
|
||||
单素材模式下,若只改了终点(`sourceEnd > 0`)也会发送 `custom_assignments`,确保截取生效。
|
||||
|
||||
---
|
||||
|
||||
## 🧭 页面交互与体验细节 — 第五阶段 (Day 24)
|
||||
|
||||
- 页面刷新后自动回到顶部,避免从历史滚动位置进入页面。
|
||||
- 素材列表与历史视频列表滚动增加“跳过首次自动滚动”保护,减少恢复状态时页面跳动。
|
||||
- 时间轴比例区移除多余文案,保持信息简洁。
|
||||
|
||||
---
|
||||
|
||||
## 涉及文件汇总
|
||||
|
||||
### 后端修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `backend/app/repositories/users.py` | 新增 `deactivate_user_if_expired()` 与 `_parse_expires_at()` |
|
||||
| `backend/app/core/deps.py` | `get_current_user` / `get_current_user_optional` 接入到期失效检查 |
|
||||
| `backend/app/modules/auth/router.py` | 登录时到期停用 + `/api/auth/me` 统一鉴权依赖 |
|
||||
| `backend/app/modules/videos/schemas.py` | `CustomAssignment` 新增 `source_end`;保留 `output_aspect_ratio` |
|
||||
| `backend/app/modules/videos/workflow.py` | 多素材/单素材透传 `source_end`;多素材 prepare/concat 统一 25fps;标题显示模式参数透传 Remotion |
|
||||
| `backend/app/services/video_service.py` | 旋转元数据解析与方向归一化;`prepare_segment` 支持 `source_end/target_fps`;concat 强制 CFR + `+genpts` |
|
||||
| `backend/app/services/remotion_service.py` | render 支持 `title_display_mode/title_duration` 并传递到 render.ts |
|
||||
|
||||
### 前端修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `frontend/src/features/home/model/useTimelineEditor.ts` | `CustomAssignment` 新增 `source_end`;修复 sourceStart 开放终点时长计算 |
|
||||
| `frontend/src/features/home/model/useHomeController.ts` | 多素材以可见 assignments 为准发送;单素材截取触发条件补齐 |
|
||||
| `frontend/src/features/home/ui/TimelineEditor.tsx` | 画面比例下拉;循环比例按截取后有效时长计算 |
|
||||
| `frontend/src/features/home/model/useHomePersistence.ts` | `outputAspectRatio` 与 `titleDisplayMode` 持久化 |
|
||||
| `frontend/src/features/home/ui/HomePage.tsx` | 页面进入滚动到顶部;ClipTrimmer/Timeline 交互保持一致 |
|
||||
| `frontend/src/features/home/ui/FloatingStylePreview.tsx` | 标题/字幕样式预览与成片渲染策略对齐 |
|
||||
| `frontend/src/features/home/ui/TitleSubtitlePanel.tsx` | 标题行新增“短暂显示/常驻显示”下拉 |
|
||||
|
||||
### Remotion 修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `remotion/src/components/Title.tsx` | 标题响应式缩放与自动换行;新增短暂/常驻显示模式控制 |
|
||||
| `remotion/src/components/Subtitles.tsx` | 字幕响应式缩放与自动换行,减少预览/成片差异 |
|
||||
| `remotion/src/Video.tsx` | 新增 `titleDisplayMode` 透传到标题组件 |
|
||||
| `remotion/src/Root.tsx` | 默认 props 增加 `titleDisplayMode='short'` 与 `titleDuration=4` |
|
||||
| `remotion/render.ts` | CLI 参数新增 `--titleDisplayMode`,inputProps 增加 `titleDisplayMode` |
|
||||
|
||||
---
|
||||
|
||||
## 验证记录
|
||||
|
||||
- 后端语法检查:`python -m py_compile backend/app/modules/videos/schemas.py backend/app/modules/videos/workflow.py backend/app/services/video_service.py backend/app/services/remotion_service.py`
|
||||
- 前端类型检查:`npx tsc --noEmit`
|
||||
- 前端 ESLint:`npx eslint src/features/home/model/useHomeController.ts src/features/home/model/useHomePersistence.ts src/features/home/ui/HomePage.tsx src/features/home/ui/TitleSubtitlePanel.tsx`
|
||||
- Remotion 渲染脚本构建:`npm run build:render`
|
||||
254
Docs/DevLogs/Day25.md
Normal file
254
Docs/DevLogs/Day25.md
Normal file
@@ -0,0 +1,254 @@
|
||||
## 🔧 文案提取助手修复 — 抖音链接无法提取文案 (Day 25)
|
||||
|
||||
### 概述
|
||||
|
||||
文案提取助手粘贴抖音链接后无法提取文案,yt-dlp 报错 `Fresh cookies are needed`,手动回退方案也因抖音页面结构变化失效。本日完成了完整修复,并清理了不再需要的 `DOUYIN_COOKIE` 配置。
|
||||
|
||||
---
|
||||
|
||||
## 🐛 问题诊断
|
||||
|
||||
### 错误链路
|
||||
|
||||
1. **yt-dlp 失败**:`ERROR: [Douyin] Fresh cookies (not necessarily logged in) are needed`
|
||||
- yt-dlp 版本 `2025.12.08` 过旧
|
||||
- 抖音 API `aweme/v1/web/aweme/detail/` 需要签名 cookie(`s_v_web_id` 等),即使升级 yt-dlp 到最新版 + 传入 cookie 仍无法解决,属 yt-dlp 已知问题
|
||||
2. **手动回退失败**:`Could not find RENDER_DATA in page`
|
||||
- 旧方案通过桌面端用户主页 + `modal_id` 访问,抖音 SSR 已不再返回 `videoDetail` 数据
|
||||
3. **`.env` 中 `DOUYIN_COOKIE`**:时间戳 2024 年 12 月,早已过期
|
||||
|
||||
---
|
||||
|
||||
## ✅ 修复方案:移动端分享页 + 自动获取 ttwid
|
||||
|
||||
### 核心思路
|
||||
|
||||
放弃依赖 yt-dlp 下载抖音视频和手动维护 cookie,改为:
|
||||
|
||||
1. 自动从 ByteDance 公共 API 获取新鲜 `ttwid`(匿名令牌,不绑定账号)
|
||||
2. 用 `ttwid` 访问移动端分享页 `m.douyin.com/share/video/{id}`
|
||||
3. 从页面内嵌 JSON 中提取 `play_addr` 播放地址并下载
|
||||
|
||||
### 关键代码(`_download_douyin_manual` 重写)
|
||||
|
||||
```python
|
||||
# 1. 获取新鲜 ttwid
|
||||
ttwid_resp = await client.post(
|
||||
"https://ttwid.bytedance.com/ttwid/union/register/",
|
||||
json={"region": "cn", "aid": 6383, "service": "www.douyin.com", ...}
|
||||
)
|
||||
ttwid = ttwid_resp.cookies.get("ttwid", "")
|
||||
|
||||
# 2. 访问移动端分享页
|
||||
page_resp = await client.get(
|
||||
f"https://m.douyin.com/share/video/{video_id}",
|
||||
headers={"cookie": f"ttwid={ttwid}", ...}
|
||||
)
|
||||
|
||||
# 3. 提取 play_addr
|
||||
addr_match = re.search(r'"play_addr":\{"uri":"([^"]+)","url_list":\["([^"]+)"', page_text)
|
||||
video_url = addr_match.group(2).replace(r"\u002F", "/")
|
||||
```
|
||||
|
||||
### 优势
|
||||
|
||||
- 不再依赖手动维护的 `DOUYIN_COOKIE`,ttwid 每次请求自动获取
|
||||
- 不受 yt-dlp 对抖音支持状况影响
|
||||
- 所有用户通用,不绑定特定账号
|
||||
|
||||
---
|
||||
|
||||
## 🧹 清理 DOUYIN_COOKIE 配置
|
||||
|
||||
`DOUYIN_COOKIE` 仅用于文案提取,新方案不再需要,已从以下位置删除:
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `backend/.env` | 删除 `DOUYIN_COOKIE` 配置项及注释 |
|
||||
| `backend/app/core/config.py` | 删除 `DOUYIN_COOKIE: str = ""` 字段定义 |
|
||||
| `backend/app/modules/tools/service.py` | 删除 yt-dlp 传 cookie 逻辑和 `_write_netscape_cookies` 辅助函数 |
|
||||
|
||||
---
|
||||
|
||||
## 🔤 前端文案修正
|
||||
|
||||
将文案提取界面中的"AI 洗稿结果"改为"AI 改写结果"。
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `frontend/src/features/home/ui/ScriptExtractionModal.tsx` | `AI 洗稿结果` → `AI 改写结果` |
|
||||
| `backend/app/modules/tools/service.py` | 注释中"洗稿"→"改写" |
|
||||
| `backend/app/services/glm_service.py` | docstring 中"洗稿"→"改写文案" |
|
||||
|
||||
---
|
||||
|
||||
## 📦 其他变更
|
||||
|
||||
- **yt-dlp 升级**:`2025.12.08` → `2026.2.21`
|
||||
- **yt-dlp 初始化修正**:改为 `YoutubeDL(ydl_opts)` 直接传参初始化(原先空初始化后 update params 不生效)
|
||||
- **User-Agent 更新**:yt-dlp 中 `Chrome/91` → `Chrome/131`
|
||||
|
||||
---
|
||||
|
||||
## 涉及文件汇总
|
||||
|
||||
### 后端修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `backend/app/modules/tools/service.py` | 重写 `_download_douyin_manual`(移动端分享页方案);修正 yt-dlp 初始化;清理 cookie 相关代码;注释改写 |
|
||||
| `backend/app/services/glm_service.py` | docstring "洗稿" → "改写文案" |
|
||||
| `backend/app/core/config.py` | 删除 `DOUYIN_COOKIE` 字段 |
|
||||
| `backend/.env` | 删除 `DOUYIN_COOKIE` 配置 |
|
||||
| `backend/requirements.txt` | yt-dlp 版本升级 |
|
||||
|
||||
### 前端修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `frontend/src/features/home/ui/ScriptExtractionModal.tsx` | "AI 洗稿结果" → "AI 改写结果" |
|
||||
|
||||
---
|
||||
|
||||
## ✏️ AI 智能改写 — 自定义提示词功能
|
||||
|
||||
### 概述
|
||||
|
||||
文案提取助手的"AI 智能改写"原先使用硬编码 prompt,用户无法定制改写风格。本次在 checkbox 右侧新增"自定义提示词"折叠区域,用户可编辑自定义 prompt,持久化到 localStorage,后端按需替换默认 prompt。
|
||||
|
||||
### 后端修改
|
||||
|
||||
**路由层** (`router.py`):`extract_script_tool` 新增可选 Form 参数 `custom_prompt: Optional[str] = Form(None)`,透传给 service。
|
||||
|
||||
**服务层** (`service.py`):`extract_script()` 签名新增 `custom_prompt`,透传给 `glm_service.rewrite_script(script, custom_prompt)`。
|
||||
|
||||
**AI 层** (`glm_service.py`):`rewrite_script(self, text, custom_prompt=None)`,若 `custom_prompt` 有值则用自定义 prompt + 原文拼接,否则保持原有默认 prompt。
|
||||
|
||||
```python
|
||||
if custom_prompt and custom_prompt.strip():
|
||||
prompt = f"""{custom_prompt.strip()}
|
||||
|
||||
原始文案:
|
||||
{text}"""
|
||||
else:
|
||||
prompt = f"""请将以下视频文案进行改写。...(原有默认)"""
|
||||
```
|
||||
|
||||
### 前端修改
|
||||
|
||||
**Hook** (`useScriptExtraction.ts`):
|
||||
- 新增 `customPrompt` / `showCustomPrompt` 状态
|
||||
- 初始值从 `localStorage.getItem("vigent_rewriteCustomPrompt")` 恢复
|
||||
- `customPrompt` 变化时防抖 300ms 保存到 localStorage
|
||||
- `handleExtract()` 中若 `doRewrite && customPrompt.trim()` 有值,追加 `formData.append("custom_prompt", ...)`
|
||||
- modal 重置时不清空 customPrompt(持久化偏好)
|
||||
|
||||
**UI** (`ScriptExtractionModal.tsx`):
|
||||
- checkbox 同行右侧新增"自定义提示词 ▼"按钮(仅 `doRewrite` 时显示)
|
||||
- 点击展开 textarea 编辑区域,底部提示"留空则使用默认提示词"
|
||||
- 取消勾选 AI 智能改写时,自定义提示词区域自动隐藏
|
||||
|
||||
### 涉及文件
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `backend/app/modules/tools/router.py` | 新增 `custom_prompt` Form 参数 |
|
||||
| `backend/app/modules/tools/service.py` | `extract_script()` 透传 `custom_prompt` |
|
||||
| `backend/app/services/glm_service.py` | `rewrite_script()` 支持自定义 prompt |
|
||||
| `frontend/.../useScriptExtraction.ts` | 新增状态、localStorage 持久化、FormData 传参 |
|
||||
| `frontend/.../ScriptExtractionModal.tsx` | UI 按钮 + 展开 textarea |
|
||||
|
||||
### 验证
|
||||
|
||||
- 后端 `python -m py_compile` 三个文件通过
|
||||
- 前端 `npx tsc --noEmit` 通过
|
||||
|
||||
---
|
||||
|
||||
## 🐛 SSR 构建修复 — localStorage is not defined
|
||||
|
||||
### 问题
|
||||
|
||||
`npm run build` 报错 `ReferenceError: localStorage is not defined`,因为 `useScriptExtraction.ts` 中 `useState` 的初始化函数在 SSR(Node.js)环境下也会执行,而服务端没有 `localStorage`。
|
||||
|
||||
### 修复
|
||||
|
||||
`useState` 初始化加 `typeof window !== "undefined"` 守卫:
|
||||
|
||||
```typescript
|
||||
const [customPrompt, setCustomPrompt] = useState(
|
||||
() => typeof window !== "undefined" ? localStorage.getItem(CUSTOM_PROMPT_KEY) || "" : ""
|
||||
);
|
||||
```
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `frontend/.../useScriptExtraction.ts` | `useState` 初始化增加 SSR 安全守卫 |
|
||||
|
||||
---
|
||||
|
||||
## 🎬 片头副标题功能
|
||||
|
||||
### 概述
|
||||
|
||||
新增片头副标题(secondary_title),显示在主标题下方,用于补充说明或悬念引导。副标题有独立的样式配置(字体、字号、颜色等),可由 AI 同时生成,20 字限制,仅在视频画面中显示,不参与发布标题。
|
||||
|
||||
命名约定:后端 `secondary_title`(snake_case),前端 `videoSecondaryTitle`(camelCase),用户界面"片头副标题"。
|
||||
|
||||
---
|
||||
|
||||
### 后端修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `backend/app/modules/videos/schemas.py` | `GenerateRequest` 新增 4 个可选字段:`secondary_title`、`secondary_title_style_id`、`secondary_title_font_size`、`secondary_title_top_margin` |
|
||||
| `backend/app/services/glm_service.py` | AI prompt 增加副标题生成要求(不超过20字),JSON 格式新增 `secondary_title` 字段 |
|
||||
| `backend/app/modules/ai/router.py` | `GenerateMetaResponse` 增加 `secondary_title: str = ""`,endpoint 返回时取 `result.get("secondary_title", "")` |
|
||||
| `backend/app/modules/videos/workflow.py` | `use_remotion` 条件增加 `or req.secondary_title`;副标题样式解析复用 `get_style("title", ...)`;字号/间距覆盖;`prepare_style_for_remotion` 处理副标题字体;`remotion_service.render()` 传入 `secondary_title` + `secondary_title_style` |
|
||||
| `backend/app/services/remotion_service.py` | `render()` 新增 `secondary_title` 和 `secondary_title_style` 参数,构建 CLI 参数 `--secondaryTitle` 和 `--secondaryTitleStyle` |
|
||||
|
||||
### Remotion 修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `remotion/render.ts` | `RenderOptions` 新增 `secondaryTitle?` + `secondaryTitleStyle?`;`parseArgs()` 新增 switch case;`inputProps` 新增两个字段 |
|
||||
| `remotion/src/components/Title.tsx` | `TitleProps` 新增 `secondaryTitle?` 和 `secondaryTitleStyle?`;`AbsoluteFill` 改为 `flexDirection: 'column'` 垂直堆叠;主标题 `<h1>` 后增加副标题 `<h2>`,独立样式(默认字号 48px、字重 700),共享淡入淡出动画;副标题字体使用独立 `@font-face`(`SecondaryTitleFont`)避免与主标题冲突 |
|
||||
| `remotion/src/Video.tsx` | `VideoProps` 新增 `secondaryTitle?` + `secondaryTitleStyle?`;传递给 `<Title>` 组件;渲染条件改为 `{(title \|\| secondaryTitle) && ...}` |
|
||||
| `remotion/src/Root.tsx` | `defaultProps` 新增 `secondaryTitle: undefined` + `secondaryTitleStyle: undefined` |
|
||||
|
||||
### 前端修改
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `frontend/src/shared/lib/title.ts` | 新增 `SECONDARY_TITLE_MAX_LENGTH = 20` 和 `clampSecondaryTitle()` |
|
||||
| `frontend/src/features/home/model/useHomeController.ts` | 新增状态 `videoSecondaryTitle`、`selectedSecondaryTitleStyleId`、`secondaryTitleFontSize`、`secondaryTitleTopMargin`、`secondaryTitleSizeLocked`;新建 `secondaryTitleInput = useTitleInput({ maxLength: 20 })`(不 sync 到发布页);`handleGenerateMeta()` 接收并填充 `secondary_title`;`handleGenerate()` 构建 payload 增加副标题字段;return 暴露所有新状态 |
|
||||
| `frontend/src/features/home/model/useHomePersistence.ts` | 新增 localStorage key:`secondaryTitle`、`secondaryTitleStyle`、`secondaryTitleFontSize`、`secondaryTitleTopMargin`;对应的恢复和保存 effect |
|
||||
| `frontend/src/features/home/ui/TitleSubtitlePanel.tsx` | Props 新增副标题相关;主标题输入框下方添加"片头副标题(限制20个字)"输入框;副标题样式选择器(复用 titleStyles 预设)、字号滑块(30-100px)、间距滑块(0-100px) |
|
||||
| `frontend/src/features/home/ui/FloatingStylePreview.tsx` | 标题预览改为 flex column 布局;主标题下方增加副标题预览行,独立样式渲染 |
|
||||
| `frontend/src/features/home/ui/HomePage.tsx` | 从 `useHomeController` 解构新状态,传给 `TitleSubtitlePanel` |
|
||||
|
||||
---
|
||||
|
||||
## 🐛 参考音频上传 — 中文文件名 InvalidKey 修复
|
||||
|
||||
### 问题
|
||||
|
||||
上传中文名参考音频(如"我的声音.wav")时,Supabase Storage 报 `InvalidKey`,因为存储路径直接使用了原始中文文件名。
|
||||
|
||||
### 修复
|
||||
|
||||
在 `ref_audios/service.py` 新增 `sanitize_filename()` 函数,将存储路径的文件名清洗为 ASCII 安全字符(仅 `A-Za-z0-9._-`):
|
||||
|
||||
- NFKD 规范化 → 丢弃非 ASCII → 非法字符替换为 `_`
|
||||
- 纯中文/emoji 清洗后为空时,使用 MD5 哈希兜底(如 `audio_e924b1193007`)
|
||||
- 文件名限长 50 字符
|
||||
- 原始中文文件名保留在 metadata 中作为展示名,前端显示不受影响
|
||||
|
||||
```
|
||||
修复前: cbbe.../1771915755_我的声音.wav → InvalidKey
|
||||
修复后: cbbe.../1771915755_audio_xxxxxxxx.wav → 上传成功
|
||||
```
|
||||
|
||||
| 文件 | 变更 |
|
||||
|------|------|
|
||||
| `backend/app/modules/ref_audios/service.py` | 新增 `sanitize_filename()` 函数,上传路径使用清洗后文件名 |
|
||||
239
Docs/DevLogs/Day26.md
Normal file
239
Docs/DevLogs/Day26.md
Normal file
@@ -0,0 +1,239 @@
|
||||
## 🎨 前端优化:板块合并 + 序号标题 + UI 精细化 (Day 26)
|
||||
|
||||
### 概述
|
||||
|
||||
首页原有 9 个独立板块(左栏 7 个 + 右栏 2 个),每个都有自己的卡片容器和标题,视觉碎片化严重。本次将相关板块合并为 5 个主板块,添加中文序号(一~十),移除 emoji 图标,并对多个子组件的布局和交互细节进行优化。
|
||||
|
||||
---
|
||||
|
||||
## ✅ 改动内容
|
||||
|
||||
### 1. 板块合并方案
|
||||
|
||||
**左栏(4 个主板块 + 2 个独立区域):**
|
||||
|
||||
| 序号 | 板块名 | 子板块 | 原组件 |
|
||||
|------|--------|--------|--------|
|
||||
| 一 | 文案提取与编辑 | — | ScriptEditor |
|
||||
| 二 | 标题与字幕 | — | TitleSubtitlePanel |
|
||||
| 三 | 配音 | 配音方式 / 配音列表 | VoiceSelector + GeneratedAudiosPanel |
|
||||
| 四 | 素材编辑 | 视频素材 / 时间轴编辑 | MaterialSelector + TimelineEditor |
|
||||
| 五 | 背景音乐 | — | BgmPanel |
|
||||
| — | 生成按钮 | — | GenerateActionBar(不编号) |
|
||||
|
||||
**右栏(1 个主板块):**
|
||||
|
||||
| 序号 | 板块名 | 子板块 | 原组件 |
|
||||
|------|--------|--------|--------|
|
||||
| 六 | 作品 | 作品列表 / 作品预览 | HistoryList + PreviewPanel |
|
||||
|
||||
**发布页(/publish):**
|
||||
|
||||
| 序号 | 板块名 |
|
||||
|------|--------|
|
||||
| 七 | 平台账号 |
|
||||
| 八 | 选择发布作品 |
|
||||
| 九 | 发布信息 |
|
||||
| 十 | 选择发布平台 |
|
||||
|
||||
### 2. embedded 模式
|
||||
|
||||
6 个组件新增 `embedded?: boolean` prop(默认 `false`):
|
||||
|
||||
- `VoiceSelector` — embedded 时不渲染外层卡片和主标题
|
||||
- `GeneratedAudiosPanel` — embedded 时两行布局:第 1 行(语速+生成配音右对齐)、第 2 行(配音列表+刷新)
|
||||
- `MaterialSelector` — embedded 时自渲染 h3 子标题"视频素材"+ 上传/刷新按钮同行
|
||||
- `TimelineEditor` — embedded 时自渲染 h3 子标题"时间轴编辑"+ 画面比例/播放控件同行
|
||||
- `PreviewPanel` — embedded 时不渲染外层卡片和标题
|
||||
- `HistoryList` — embedded 时不渲染外层卡片和标题(刷新按钮由 HomePage 提供)
|
||||
|
||||
### 3. 序号标题 + emoji 移除
|
||||
|
||||
所有编号板块移除 emoji 图标,使用纯中文序号:
|
||||
|
||||
- ScriptEditor: `✍️ 文案提取与编辑` → `一、文案提取与编辑`
|
||||
- TitleSubtitlePanel: `🎬 标题与字幕` → `二、标题与字幕`
|
||||
- BgmPanel: `🎵 背景音乐` → `五、背景音乐`
|
||||
- HomePage 右栏: `五、作品` → `六、作品`
|
||||
- PublishPage: `👤 平台账号` → `七、平台账号`、`📹 选择发布作品` → `八、选择发布作品`、`✍️ 发布信息` → `九、发布信息`、`📱 选择发布平台` → `十、选择发布平台`
|
||||
|
||||
### 4. 子标题与分隔样式
|
||||
|
||||
- **主标题**: `text-base sm:text-lg font-semibold text-white`
|
||||
- **子标题**: `text-sm font-medium text-gray-400`
|
||||
- **分隔线**: `<div className="border-t border-white/10 my-4" />`
|
||||
|
||||
### 5. 配音列表布局优化
|
||||
|
||||
GeneratedAudiosPanel embedded 模式下采用两行布局:
|
||||
- **第 1 行**:语速下拉 + 生成配音按钮(右对齐,`flex justify-end`)
|
||||
- **第 2 行**:`<h3>配音列表</h3>` + 刷新按钮(两端对齐)
|
||||
- 非 embedded 模式保持原单行布局
|
||||
|
||||
### 6. TitleSubtitlePanel 下拉对齐
|
||||
|
||||
- 标题样式/副标题样式/字幕样式三行标签统一 `w-20`(固定 80px),确保下拉菜单垂直对齐
|
||||
- 下拉菜单宽度 `w-1/3 min-w-[100px]`,避免过宽
|
||||
|
||||
### 7. RefAudioPanel 文案简化
|
||||
|
||||
- 原底部段落"上传任意语音样本(3-10秒)…" 移至 "我的参考音频" 标题旁,简化为 `(上传3-10秒语音样本)`
|
||||
|
||||
### 8. 账户下拉菜单添加手机号
|
||||
|
||||
- AccountSettingsDropdown 在账户有效期上方新增手机号显示区域
|
||||
- 显示 `user?.phone || '未知账户'`
|
||||
|
||||
### 9. 标题显示模式对副标题生效
|
||||
|
||||
- **payload 修复**: `useHomeController.ts` 中 `title_display_mode` 的发送条件从 `videoTitle.trim()` 改为 `videoTitle.trim() || videoSecondaryTitle.trim()`,确保仅有副标题时也能发送显示模式
|
||||
- **UI 调整**: 短暂显示/常驻显示下拉从片头标题输入行移至"二、标题与字幕"板块标题行(与预览样式按钮同行),明确表示该设置对标题和副标题同时生效
|
||||
- Remotion 端 `Title.tsx` 已支持(标题和副标题作为整体组件渲染,`displayMode` 统一控制)
|
||||
|
||||
### 10. 时间轴模糊遮罩
|
||||
|
||||
遮罩从外层 wrapper 移入"四、素材编辑"卡片内,仅覆盖时间轴子区域(`rounded-xl`)。
|
||||
|
||||
### 11. 登录后用户信息立即可用
|
||||
|
||||
- AuthContext 新增 `setUser` 方法暴露给消费者
|
||||
- 登录页成功后调用 `setUser(result.user)` 立即写入 Context,无需等页面刷新
|
||||
- 修复登录后账户下拉显示"未知账户"、刷新后才显示手机号的问题
|
||||
|
||||
### 12. 文案与选项微调
|
||||
|
||||
- MaterialSelector 描述 `(可多选,最多4个)` → `(上传自拍视频,最多可选4个)`
|
||||
- TitleSubtitlePanel 显示模式选项 `短暂显示/常驻显示` → `标题短暂显示/标题常驻显示`
|
||||
|
||||
### 13. UI/UX 体验优化(6 项)
|
||||
|
||||
- **操作按钮移动端可见**: 配音列表、作品列表、素材列表、参考音频、历史文案的操作按钮从 `opacity-0`(hover 才显示)改为 `opacity-40`(平时半透明可见,hover 全亮),解决触屏设备无法发现按钮的问题
|
||||
- **手机号脱敏**: AccountSettingsDropdown 手机号中间四位遮掩 `138****5678`
|
||||
- **标题字数计数器**: TitleSubtitlePanel 标题/副标题输入框右侧显示实时字数 `3/15`,超限变红
|
||||
- **列表滚动条提示**: ~~配音列表、作品列表、素材列表、BGM 列表从 `hide-scrollbar` 改为 `custom-scrollbar`~~ → 已全部改回 `hide-scrollbar` 隐藏滚动条(滚动功能不变)
|
||||
- **时间轴拖拽提示**: TimelineEditor 色块左上角新增 `GripVertical` 抓手图标,暗示可拖拽排序
|
||||
- **截取滑块放大**: ClipTrimmer 手柄从 16px 放大到 20px,触控区从 32px 放大到 40px
|
||||
|
||||
### 14. 代码质量修复(4 项)
|
||||
|
||||
- **AccountSettingsDropdown**: 关闭密码弹窗补齐 `setSuccess('')` 清空
|
||||
- **MaterialSelector**: `selectedSet` 加 `useMemo` 避免每次渲染重建
|
||||
- **TimelineEditor**: `visibleSegments`/`overflowSegments` 加 `useMemo`
|
||||
- **MaterialSelector**: 素材满 4 个时非选中项按钮加 `disabled`
|
||||
|
||||
### 15. 发布页平台账号响应式布局
|
||||
|
||||
- **单行布局**:图标+名称+状态在左,按钮在右(`flex items-center`)
|
||||
- **移动端紧凑**:图标 `h-6 w-6`、按钮 `text-xs px-2 py-1 rounded-md`、间距 `space-y-2 px-3 py-2.5`
|
||||
- **桌面端宽松**:`sm:h-7 sm:w-7`、`sm:text-sm sm:px-3 sm:py-1.5 sm:rounded-lg`、`sm:space-y-3 sm:px-4 sm:py-3.5`
|
||||
- 两端各自美观,风格与其他板块一致
|
||||
|
||||
### 16. 移动端刷新回顶部修复
|
||||
|
||||
- **问题**: 移动端刷新页面后不回到顶部,而是滚动到背景音乐板块
|
||||
- **根因**: 1) 浏览器原生滚动恢复覆盖 `scrollTo(0,0)`;2) 列表 scroll effect 有双依赖(`selectedId` + `list`),数据异步加载时第二次触发跳过了 ref 守卫,执行了 `scrollIntoView` 导致页面跳动
|
||||
- **修复**: 三管齐下 — ① `history.scrollRestoration = "manual"` 禁用浏览器原生恢复;② 时间门控 `scrollEffectsEnabled` ref(1 秒内禁止所有列表自动滚动)替代单次 ref 守卫;③ 200ms 延迟兜底 `scrollTo(0,0)`
|
||||
|
||||
### 17. 移动端样式预览窗口缩小
|
||||
|
||||
- **问题**: 移动端点击"预览样式"后窗口占满整屏(宽 358px,高约 636px),遮挡样式调节控件
|
||||
- **修复**: 移动端宽度从 `window.innerWidth - 32` 缩小到 **160px**;位置从左上角改为**右下角**(`right:12, bottom:12`),不遮挡上方控件;最大高度限制 `50dvh`
|
||||
- 桌面端保持不变(280px,左上角)
|
||||
|
||||
### 18. 列表滚动条统一隐藏
|
||||
|
||||
- 将 Day 26 早期改为 `custom-scrollbar`(细紫色滚动条)的 7 处全部改回 `hide-scrollbar`
|
||||
- 涉及:BgmPanel、GeneratedAudiosPanel、HistoryList、MaterialSelector(2处)、ScriptExtractionModal(2处)
|
||||
- 滚动功能不受影响,仅视觉上不显示滚动条
|
||||
|
||||
### 19. 配音按钮移动端适配
|
||||
|
||||
- VoiceSelector "选择声音/克隆声音" 按钮:内边距 `px-4` → `px-2 sm:px-4`,字号加 `text-sm sm:text-base`,图标加 `shrink-0`
|
||||
- 修复移动端窄屏下按钮被挤压导致"克隆声音"不可见的问题
|
||||
|
||||
### 20. 素材标题溢出修复
|
||||
|
||||
- MaterialSelector embedded 标题行移除 `whitespace-nowrap`
|
||||
- 描述文字 `(上传自拍视频,最多可选4个)` 在移动端隐藏(`hidden sm:inline`),桌面端正常显示
|
||||
- 修复移动端刷新按钮被推出容器外的问题
|
||||
|
||||
### 21. 生成配音按钮放大
|
||||
|
||||
- "生成配音" 作为核心操作按钮,从辅助尺寸升级为主操作尺寸
|
||||
- 内边距 `px-2/px-3 py-1/py-1.5` → `px-4 py-2`,字号 `text-xs` → `text-sm font-medium`
|
||||
- 图标 `h-3.5 w-3.5` → `h-4 w-4`,新增 `shadow-sm` + hover `shadow-md`
|
||||
- embedded 与非 embedded 模式统一放大
|
||||
|
||||
### 22. 生成进度条位置调整
|
||||
|
||||
- **问题**: 生成进度条在"六、作品"卡片内部(作品预览下方),不够醒目
|
||||
- **修复**: 进度条从 PreviewPanel 内部提取到 HomePage 右栏,作为独立卡片渲染在"六、作品"卡片**上方**
|
||||
- 使用紫色边框(`border-purple-500/30`)区分,显示任务消息和百分比
|
||||
- PreviewPanel embedded 模式下不再渲染进度条(传入 `currentTask={null}`)
|
||||
- 生成完成后进度卡片自动消失
|
||||
|
||||
### 23. LatentSync 超时修复
|
||||
|
||||
- **问题**: 约 2 分钟的视频(3023 帧,190 段推理)预计推理 54 分钟,但 httpx 超时仅 20 分钟,导致 LatentSync 调用失败并回退到无口型同步
|
||||
- **根因**: `lipsync_service.py` 中 `httpx.AsyncClient(timeout=1200.0)` 不足以覆盖长视频推理时间
|
||||
- **修复**: 超时从 `1200s`(20 分钟)改为 `3600s`(1 小时),足以覆盖 2-3 分钟视频的推理
|
||||
|
||||
### 24. 字幕时间戳节奏映射(修复长视频字幕漂移)
|
||||
|
||||
- **问题**: 2 分钟视频字幕明显对不上语音,越到后面偏差越大
|
||||
- **根因**: `whisper_service.py` 的 `original_text` 处理逻辑丢弃了 Whisper 逐词时间戳,仅保留总时间范围后做全程线性插值,每个字分配相同时长,完全忽略语速变化和停顿
|
||||
- **修复**: 保留 Whisper 的逐字时间戳作为语音节奏模板,将原文字符按比例映射到 Whisper 时间节奏上(rhythm-mapping),而非线性均分。字幕文字不变,只是时间戳跟随真实语速
|
||||
- **算法**: 原文第 i 个字符映射到 Whisper 时间线的 `(i/N)*M` 位置(N=原文字符数,M=Whisper字符数),在相邻 Whisper 时间点间线性插值
|
||||
|
||||
---
|
||||
|
||||
## 📁 修改文件清单
|
||||
|
||||
| 文件 | 改动 |
|
||||
|------|------|
|
||||
| `VoiceSelector.tsx` | 新增 embedded prop,移动端按钮适配(`px-2 sm:px-4`) |
|
||||
| `GeneratedAudiosPanel.tsx` | 新增 embedded prop,两行布局,操作按钮可见度,"生成配音"按钮放大 |
|
||||
| `MaterialSelector.tsx` | 新增 embedded prop,自渲染子标题+操作按钮,useMemo,disabled 守卫,操作按钮可见度,标题溢出修复 |
|
||||
| `TimelineEditor.tsx` | 新增 embedded prop,自渲染子标题+控件,useMemo,拖拽抓手图标 |
|
||||
| `PreviewPanel.tsx` | 新增 embedded prop |
|
||||
| `HistoryList.tsx` | 新增 embedded prop,操作按钮可见度 |
|
||||
| `ScriptEditor.tsx` | 标题加序号,移除 emoji,操作按钮可见度 |
|
||||
| `TitleSubtitlePanel.tsx` | 标题加序号,移除 emoji,下拉对齐,显示模式下拉上移,字数计数器 |
|
||||
| `BgmPanel.tsx` | 标题加序号 |
|
||||
| `HomePage.tsx` | 核心重构:合并板块、序号标题、生成配音按钮迁入、`scrollRestoration` + 延迟兜底修复刷新回顶部、生成进度条提取到作品卡片上方 |
|
||||
| `PublishPage.tsx` | 四个板块加序号(七~十),移除 emoji,平台卡片响应式单行布局 |
|
||||
| `RefAudioPanel.tsx` | 简化提示文案,操作按钮可见度 |
|
||||
| `AccountSettingsDropdown.tsx` | 新增手机号显示(脱敏),补齐 success 清空 |
|
||||
| `AuthContext.tsx` | 新增 `setUser` 方法,登录后立即更新用户状态 |
|
||||
| `login/page.tsx` | 登录成功后调用 `setUser` 写入用户数据 |
|
||||
| `useHomeController.ts` | titleDisplayMode 条件修复,列表 scroll 时间门控 `scrollEffectsEnabled` |
|
||||
| `FloatingStylePreview.tsx` | 移动端预览窗口缩小(160px)并移至右下角 |
|
||||
| `ScriptExtractionModal.tsx` | 滚动条改回隐藏 |
|
||||
| `ClipTrimmer.tsx` | 滑块手柄放大、触控区增高 |
|
||||
| `lipsync_service.py` | httpx 超时从 1200s 改为 3600s |
|
||||
| `whisper_service.py` | 字幕时间戳从线性插值改为 Whisper 节奏映射 |
|
||||
|
||||
---
|
||||
|
||||
## 🔍 验证
|
||||
|
||||
- `npm run build` — 零报错零警告
|
||||
- 合并后布局:各子板块分隔清晰、主标题有序号
|
||||
- 向后兼容:`embedded` 默认 `false`,组件独立使用不受影响
|
||||
- 配音列表两行布局:语速+生成配音在上,配音列表+刷新在下
|
||||
- 下拉菜单垂直对齐正确
|
||||
- 短暂显示/常驻显示对标题和副标题同时生效
|
||||
- 操作按钮在移动端(触屏)可见
|
||||
- 手机号脱敏显示
|
||||
- 标题字数计数器正常
|
||||
- 列表滚动条全部隐藏
|
||||
- 时间轴拖拽抓手图标显示
|
||||
- 发布页平台卡片:移动端紧凑、桌面端宽松,风格一致
|
||||
- 移动端刷新后回到顶部,不再滚动到背景音乐位置
|
||||
- 移动端样式预览窗口不遮挡控件
|
||||
- 移动端配音按钮(选择声音/克隆声音)均可见
|
||||
- 移动端素材标题行按钮不溢出
|
||||
- 生成配音按钮视觉层级高于辅助按钮
|
||||
- 生成进度条在作品卡片上方独立显示
|
||||
- LatentSync 长视频推理不再超时回退
|
||||
- 字幕时间戳与语音节奏同步,长视频不漂移
|
||||
@@ -389,7 +389,7 @@ if not qr_element:
|
||||
|
||||
## 📋 文档规则优化 (16:42 - 17:10)
|
||||
|
||||
**问题**:Doc_Rules需要优化,避免误删历史内容、规范工具使用、防止任务清单遗漏
|
||||
**问题**:DOC_RULES需要优化,避免误删历史内容、规范工具使用、防止任务清单遗漏
|
||||
|
||||
**优化内容(最终版)**:
|
||||
|
||||
@@ -411,7 +411,7 @@ if not qr_element:
|
||||
- 移除无关项目组件
|
||||
|
||||
**修改文件**:
|
||||
- `Docs/Doc_Rules.md` - 包含检查清单的最终完善版
|
||||
- `Docs/DOC_RULES.md` - 包含检查清单的最终完善版
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -8,8 +8,8 @@
|
||||
|
||||
| 规则 | 说明 |
|
||||
|------|------|
|
||||
| **默认更新** | 只更新 `DayN.md` |
|
||||
| **按需更新** | `task_complete.md` 仅在用户**明确要求**时更新 |
|
||||
| **默认更新** | 更新 `DayN.md` 和 `TASK_COMPLETE.md` |
|
||||
| **按需更新** | 其他文档仅在内容变化涉及时更新 |
|
||||
| **智能修改** | 错误→替换,改进→追加(见下方详细规则) |
|
||||
| **先读后写** | 更新前先查看文件当前内容 |
|
||||
| **日内合并** | 同一天的多次小修改合并为最终版本 |
|
||||
@@ -23,16 +23,14 @@
|
||||
| 优先级 | 文件路径 | 检查重点 |
|
||||
| :---: | :--- | :--- |
|
||||
| 🔥 **High** | `Docs/DevLogs/DayN.md` | **(最新日志)** 详细记录变更、修复、代码片段 |
|
||||
| 🔥 **High** | `Docs/task_complete.md` | **(任务总览)** 更新 `[x]`、进度条、时间线 |
|
||||
| 🔥 **High** | `Docs/TASK_COMPLETE.md` | **(任务总览)** 更新 `[x]`、进度条、时间线 |
|
||||
| ⚡ **Med** | `README.md` | **(项目主页)** 功能特性、技术栈、最新截图 |
|
||||
| ⚡ **Med** | `Docs/DEPLOY_MANUAL.md` | **(部署手册)** 环境变量、依赖包、启动命令变更 |
|
||||
| ⚡ **Med** | `Docs/BACKEND_DEV.md` | **(后端规范)** 接口契约、模块划分、环境变量 |
|
||||
| ⚡ **Med** | `Docs/BACKEND_README.md` | **(后端文档)** 接口说明、架构设计 |
|
||||
| ⚡ **Med** | `Docs/FRONTEND_DEV.md` | **(前端规范)** API封装、日期格式化、新页面规范 |
|
||||
| ⚡ **Med** | `Docs/FRONTEND_README.md` | **(前端文档)** 功能说明、页面变更 |
|
||||
| 🧊 **Low** | `Docs/*_DEPLOY.md` | **(子系统部署)** LatentSync/Qwen3/字幕等独立部署文档 |
|
||||
| 🧊 **Low** | `Docs/implementation_plan.md` | **(实施计划)** 核对计划与实际实现的差异 |
|
||||
| 🧊 **Low** | `Docs/architecture_plan.md` | **(前端架构)** 拆分计划与阶段目标 |
|
||||
| 🧊 **Low** | `Docs/*_DEPLOY.md` | **(子系统部署)** LatentSync/CosyVoice/字幕等独立部署文档 |
|
||||
|
||||
---
|
||||
|
||||
@@ -97,7 +95,7 @@
|
||||
|
||||
### 必须执行的检查步骤
|
||||
|
||||
**1. 快速浏览全文**(使用 `view_file` 或 `grep_search`)
|
||||
**1. 快速浏览全文**(使用 `Read` 或 `Grep`)
|
||||
```markdown
|
||||
# 检查是否存在:
|
||||
- 同主题的旧章节?
|
||||
@@ -144,66 +142,41 @@
|
||||
|
||||
> **核心原则**:使用正确的工具,避免字符编码问题
|
||||
|
||||
### ✅ 推荐工具:apply_patch
|
||||
### ✅ 推荐工具:Edit / Read / Grep
|
||||
|
||||
**使用场景**:
|
||||
- 追加新章节到文件末尾
|
||||
- 修改/替换现有章节内容
|
||||
- 更新状态标记(🔄 → ✅)
|
||||
- 修正错误内容
|
||||
|
||||
**优势**:
|
||||
- ✅ 自动处理字符编码(Windows CRLF)
|
||||
- ✅ 精确替换,不会误删其他内容
|
||||
- ✅ 有错误提示,方便调试
|
||||
- `Read`:更新前先查看文件当前内容
|
||||
- `Edit`:精确替换现有内容、追加新章节
|
||||
- `Grep`:搜索文件中是否已有相关章节
|
||||
- `Write`:创建新文件(如 Day{N+1}.md)
|
||||
|
||||
**注意事项**:
|
||||
```markdown
|
||||
1. **必须精确匹配**:TargetContent 必须与文件完全一致
|
||||
2. **处理换行符**:文件使用 \r\n,不要漏掉 \r
|
||||
3. **合理范围**:StartLine/EndLine 应覆盖目标内容
|
||||
4. **先读后写**:编辑前先 view_file 确认内容
|
||||
1. **先读后写**:编辑前先用 Read 确认内容
|
||||
2. **精确匹配**:Edit 的 old_string 必须与文件内容完全一致
|
||||
3. **避免重复**:编辑前用 Grep 检查是否已存在同主题章节
|
||||
```
|
||||
|
||||
### ❌ 禁止使用:命令行工具
|
||||
### ❌ 禁止使用:命令行工具修改文档
|
||||
|
||||
**禁止场景**:
|
||||
- ❌ 使用 `echo >>` 追加内容(编码问题)
|
||||
- ❌ 使用 PowerShell 直接修改文档(破坏格式)
|
||||
- ❌ 使用 sed/awk 等命令行工具
|
||||
- ❌ 使用 `echo >>` 追加内容
|
||||
- ❌ 使用 `sed` / `awk` 修改文档
|
||||
- ❌ 使用 `cat <<EOF` 写入内容
|
||||
|
||||
**原因**:
|
||||
- 容易破坏 UTF-8 编码
|
||||
- Windows CRLF vs Unix LF 混乱
|
||||
- 容易破坏 UTF-8 编码和中文字符
|
||||
- 难以追踪修改,容易出错
|
||||
|
||||
**唯一例外**:简单的全局文本替换(如批量更新日期),且必须使用 `-NoNewline` 参数
|
||||
- 无法精确匹配替换位置
|
||||
|
||||
### 📝 最佳实践示例
|
||||
|
||||
**追加新章节**:
|
||||
```diff
|
||||
*** Begin Patch
|
||||
*** Update File: Docs/DevLogs/DayN.md
|
||||
@@
|
||||
## 🔗 相关文档
|
||||
|
||||
...
|
||||
---
|
||||
**追加新章节**:使用 `Edit` 工具,`old_string` 匹配文件末尾内容,`new_string` 包含原内容 + 新章节。
|
||||
|
||||
## 🆕 新章节
|
||||
内容...
|
||||
*** End Patch
|
||||
```
|
||||
|
||||
**修改现有内容**:
|
||||
```diff
|
||||
*** Begin Patch
|
||||
*** Update File: Docs/DevLogs/DayN.md
|
||||
@@
|
||||
-**状态**:🔄 待修复
|
||||
+**状态**:✅ 已修复
|
||||
*** End Patch
|
||||
**修改现有内容**:使用 `Edit` 工具精确替换。
|
||||
```markdown
|
||||
old_string: "**状态**:🔄 待修复"
|
||||
new_string: "**状态**:✅ 已修复"
|
||||
```
|
||||
|
||||
|
||||
@@ -213,18 +186,17 @@
|
||||
|
||||
```
|
||||
ViGent2/Docs/
|
||||
├── task_complete.md # 任务总览(仅按需更新)
|
||||
├── Doc_Rules.md # 本文件
|
||||
├── TASK_COMPLETE.md # 任务总览(仅按需更新)
|
||||
├── DOC_RULES.md # 本文件
|
||||
├── BACKEND_DEV.md # 后端开发规范
|
||||
├── BACKEND_README.md # 后端功能文档
|
||||
├── FRONTEND_DEV.md # 前端开发规范
|
||||
├── FRONTEND_README.md # 前端功能文档
|
||||
├── architecture_plan.md # 前端拆分计划
|
||||
├── implementation_plan.md # 实施计划
|
||||
├── DEPLOY_MANUAL.md # 部署手册
|
||||
├── SUPABASE_DEPLOY.md # Supabase 部署文档
|
||||
├── LatentSync_DEPLOY.md # LatentSync 部署文档
|
||||
├── QWEN3_TTS_DEPLOY.md # 声音克隆部署文档
|
||||
├── LATENTSYNC_DEPLOY.md # LatentSync 部署文档
|
||||
├── COSYVOICE3_DEPLOY.md # 声音克隆部署文档
|
||||
├── ALIPAY_DEPLOY.md # 支付宝付费部署文档
|
||||
├── SUBTITLE_DEPLOY.md # 字幕系统部署文档
|
||||
└── DevLogs/
|
||||
├── Day1.md # 开发日志
|
||||
@@ -235,8 +207,16 @@ ViGent2/Docs/
|
||||
|
||||
## 📅 DayN.md 更新规则(日常更新)
|
||||
|
||||
### 更新时机
|
||||
|
||||
> **边开发边记录,不要等到最后才写。**
|
||||
|
||||
- 每完成一个功能/修复后,**立即**追加到 DayN.md
|
||||
- 避免积攒到对话末尾一次性补写,容易遗漏变更
|
||||
- `TASK_COMPLETE.md` 同理,重要变更完成后及时同步
|
||||
|
||||
### 新建判断 (对话开始前)
|
||||
1. **回顾进度**:查看 `task_complete.md` 了解当前状态
|
||||
1. **回顾进度**:查看 `TASK_COMPLETE.md` 了解当前状态
|
||||
2. **检查日期**:查看最新 `DayN.md`
|
||||
- **今天 (与当前日期相同)** → 🚨 **绝对禁止创建新文件**,必须**追加**到现有 `DayN.md` 末尾!即使是完全不同的功能模块。
|
||||
- **之前 (昨天或更早)** → 创建 `Day{N+1}.md`
|
||||
@@ -292,17 +272,17 @@ ViGent2/Docs/
|
||||
|
||||
---
|
||||
|
||||
## 📝 task_complete.md 更新规则(仅按需)
|
||||
## 📝 TASK_COMPLETE.md 更新规则
|
||||
|
||||
> ⚠️ **仅当用户明确要求更新 `task_complete.md` 时才更新**
|
||||
> 与 DayN.md 同步更新,记录重要变更时更新任务总览。
|
||||
|
||||
### 更新原则
|
||||
- **格式一致性**:直接参考 `task_complete.md` 现有格式追加内容。
|
||||
- **格式一致性**:直接参考 `TASK_COMPLETE.md` 现有格式追加内容。
|
||||
- **进度更新**:仅在阶段性里程碑时更新进度百分比。
|
||||
|
||||
### 🔍 完整性检查清单 (必做)
|
||||
|
||||
每次更新 `task_complete.md` 时,必须**逐一检查**以下所有板块:
|
||||
每次更新 `TASK_COMPLETE.md` 时,必须**逐一检查**以下所有板块:
|
||||
|
||||
1. **文件头部 & 导航**
|
||||
- [ ] `更新时间`:必须是当天日期
|
||||
@@ -325,4 +305,4 @@ ViGent2/Docs/
|
||||
|
||||
---
|
||||
|
||||
**最后更新**:2026-02-07
|
||||
**最后更新**:2026-02-11
|
||||
|
||||
@@ -2,22 +2,75 @@
|
||||
|
||||
## 目录结构
|
||||
|
||||
采用轻量 FSD(Feature-Sliced Design)结构:
|
||||
|
||||
```
|
||||
frontend/src/
|
||||
├── app/ # Next.js App Router 页面
|
||||
│ ├── page.tsx # 首页(视频生成)
|
||||
│ ├── publish/ # 发布页面
|
||||
│ ├── admin/ # 管理员页面
|
||||
│ ├── login/ # 登录页面
|
||||
│ └── register/ # 注册页面
|
||||
├── components/ # 可复用组件
|
||||
│ ├── home/ # 首页拆分组件
|
||||
│ └── ...
|
||||
├── lib/ # 公共工具函数
|
||||
│ ├── axios.ts # Axios 实例(含 401/403 拦截器)
|
||||
│ ├── auth.ts # 认证相关函数
|
||||
│ └── media.ts # API Base / URL / 日期等通用工具
|
||||
└── proxy.ts # 路由代理(原 middleware)
|
||||
├── app/ # Next.js App Router 页面入口
|
||||
│ ├── page.tsx # 首页(视频生成)
|
||||
│ ├── publish/ # 发布管理页
|
||||
│ ├── admin/ # 管理员页面
|
||||
│ ├── login/ # 登录
|
||||
│ ├── register/ # 注册
|
||||
│ └── pay/ # 付费开通会员
|
||||
├── features/ # 功能模块(按业务拆分)
|
||||
│ ├── home/
|
||||
│ │ ├── model/ # 业务逻辑 hooks
|
||||
│ │ │ ├── useHomeController.ts # 主控制器
|
||||
│ │ │ ├── useHomePersistence.ts # 持久化管理
|
||||
│ │ │ ├── useBgm.ts
|
||||
│ │ │ ├── useGeneratedVideos.ts
|
||||
│ │ │ ├── useGeneratedAudios.ts
|
||||
│ │ │ ├── useMaterials.ts
|
||||
│ │ │ ├── useMediaPlayers.ts
|
||||
│ │ │ ├── useRefAudios.ts
|
||||
│ │ │ ├── useSavedScripts.ts
|
||||
│ │ │ ├── useTimelineEditor.ts
|
||||
│ │ │ └── useTitleSubtitleStyles.ts
|
||||
│ │ └── ui/ # UI 组件(纯 props + 回调)
|
||||
│ │ ├── HomePage.tsx
|
||||
│ │ ├── HomeHeader.tsx
|
||||
│ │ ├── MaterialSelector.tsx
|
||||
│ │ ├── ScriptEditor.tsx
|
||||
│ │ ├── ScriptExtractionModal.tsx
|
||||
│ │ ├── script-extraction/
|
||||
│ │ │ └── useScriptExtraction.ts
|
||||
│ │ ├── TitleSubtitlePanel.tsx
|
||||
│ │ ├── FloatingStylePreview.tsx
|
||||
│ │ ├── VoiceSelector.tsx
|
||||
│ │ ├── RefAudioPanel.tsx
|
||||
│ │ ├── GeneratedAudiosPanel.tsx
|
||||
│ │ ├── TimelineEditor.tsx
|
||||
│ │ ├── ClipTrimmer.tsx
|
||||
│ │ ├── BgmPanel.tsx
|
||||
│ │ ├── GenerateActionBar.tsx
|
||||
│ │ ├── PreviewPanel.tsx
|
||||
│ │ └── HistoryList.tsx
|
||||
│ └── publish/
|
||||
│ ├── model/
|
||||
│ │ └── usePublishController.ts
|
||||
│ └── ui/
|
||||
│ └── PublishPage.tsx
|
||||
├── shared/ # 跨功能共享
|
||||
│ ├── api/
|
||||
│ │ ├── axios.ts # Axios 实例(含 401/403 拦截器)
|
||||
│ │ └── types.ts # 统一响应类型
|
||||
│ ├── lib/
|
||||
│ │ ├── media.ts # API Base / URL / 日期等通用工具
|
||||
│ │ ├── auth.ts # 认证相关函数
|
||||
│ │ └── title.ts # 标题输入处理
|
||||
│ ├── hooks/
|
||||
│ │ ├── useTitleInput.ts
|
||||
│ │ └── usePublishPrefetch.ts
|
||||
│ ├── types/
|
||||
│ │ ├── user.ts # User 类型定义
|
||||
│ │ └── publish.ts # 发布相关类型
|
||||
│ └── contexts/ # 全局 Context(Auth、Task)
|
||||
│ ├── AuthContext.tsx
|
||||
│ └── TaskContext.tsx
|
||||
├── components/ # 遗留通用组件
|
||||
│ └── VideoPreviewModal.tsx
|
||||
└── proxy.ts # Next.js middleware(路由保护)
|
||||
```
|
||||
|
||||
---
|
||||
@@ -98,6 +151,33 @@ body {
|
||||
| `sm:` | ≥ 640px | 平板/桌面 |
|
||||
| `lg:` | ≥ 1024px | 大屏桌面 |
|
||||
|
||||
### embedded 组件模式
|
||||
|
||||
合并板块时,子组件通过 `embedded?: boolean` prop 控制是否渲染外层卡片容器和主标题。
|
||||
|
||||
```tsx
|
||||
// embedded=false(独立使用):渲染完整卡片
|
||||
<div className="bg-white/5 rounded-2xl p-6 border border-white/10">
|
||||
<h2>标题</h2>
|
||||
{content}
|
||||
</div>
|
||||
|
||||
// embedded=true(嵌入父卡片):只渲染内容
|
||||
{content}
|
||||
```
|
||||
|
||||
- 子标题使用 `<h3 className="text-sm font-medium text-gray-400">`
|
||||
- 分隔线使用 `<div className="border-t border-white/10 my-4" />`
|
||||
- 移动端标题行避免 `whitespace-nowrap`,长描述文字可用 `hidden sm:inline` 在移动端隐藏
|
||||
|
||||
### 按钮视觉层级
|
||||
|
||||
| 层级 | 样式 | 用途 |
|
||||
|------|------|------|
|
||||
| 主操作 | `px-4 py-2 text-sm font-medium bg-gradient-to-r from-purple-600 to-pink-600 shadow-sm` | 生成配音、立即发布 |
|
||||
| 辅助操作 | `px-2 py-1 text-xs bg-white/10 rounded` | 刷新、上传、语速 |
|
||||
| 触屏可见 | `opacity-40 group-hover:opacity-100` | 列表行内操作(编辑/删除) |
|
||||
|
||||
---
|
||||
|
||||
## API 请求规范
|
||||
@@ -204,6 +284,38 @@ import { formatDate } from '@/shared/lib/media';
|
||||
|
||||
## ⚡️ 体验优化规范
|
||||
|
||||
### 刷新回顶部(统一体验)
|
||||
|
||||
- 长页面(如首页/发布页)在首次挂载时统一回到顶部。
|
||||
- **必须**在页面级 `useEffect` 中设置 `history.scrollRestoration = "manual"` 禁用浏览器原生滚动恢复。
|
||||
- 调用 `window.scrollTo({ top: 0, left: 0, behavior: "auto" })` 并追加 200ms 延迟兜底(防止异步 effect 覆盖)。
|
||||
- **列表自动滚动必须使用时间门控**:页面加载后 1 秒内禁止所有列表自动滚动效果(`scrollEffectsEnabled` ref),防止持久化恢复 + 异步数据加载触发 `scrollIntoView` 导致页面跳动。
|
||||
- 推荐模式:
|
||||
|
||||
```typescript
|
||||
// 页面级(HomePage / PublishPage)
|
||||
useEffect(() => {
|
||||
if (typeof window === "undefined") return;
|
||||
if ("scrollRestoration" in history) history.scrollRestoration = "manual";
|
||||
window.scrollTo({ top: 0, left: 0, behavior: "auto" });
|
||||
const timer = setTimeout(() => window.scrollTo({ top: 0, left: 0, behavior: "auto" }), 200);
|
||||
return () => clearTimeout(timer);
|
||||
}, []);
|
||||
|
||||
// Controller 级(列表滚动时间门控)
|
||||
const scrollEffectsEnabled = useRef(false);
|
||||
useEffect(() => {
|
||||
const timer = setTimeout(() => { scrollEffectsEnabled.current = true; }, 1000);
|
||||
return () => clearTimeout(timer);
|
||||
}, []);
|
||||
|
||||
// 列表滚动 effect(BGM/素材/视频等)
|
||||
useEffect(() => {
|
||||
if (!selectedId || !scrollEffectsEnabled.current) return;
|
||||
target?.scrollIntoView({ block: "nearest", behavior: "smooth" });
|
||||
}, [selectedId, list]);
|
||||
```
|
||||
|
||||
### 路由预取
|
||||
|
||||
- 首页进入发布管理时使用 `router.prefetch("/publish")`
|
||||
@@ -228,10 +340,15 @@ import { formatDate } from '@/shared/lib/media';
|
||||
|
||||
## 轻量 FSD 结构
|
||||
|
||||
- `app/`:页面入口,保持轻量
|
||||
- `features/*/model`:业务逻辑与状态 (hooks)
|
||||
- `features/*/ui`:功能 UI 组件
|
||||
- `shared/`:通用工具、通用 hooks、API 实例
|
||||
- `app/`:页面入口,保持轻量,只做组合与布局
|
||||
- `features/*/model`:业务逻辑与状态(Controller Hook + 子 Hook)
|
||||
- `features/*/ui`:功能 UI 组件(纯 props + 回调,不直接发 API)
|
||||
- `shared/api`:Axios 实例与统一响应类型
|
||||
- `shared/lib`:通用工具函数(media.ts / auth.ts / title.ts)
|
||||
- `shared/hooks`:跨功能通用 hooks
|
||||
- `shared/types`:跨功能实体类型(User / PublishVideo 等)
|
||||
- `shared/contexts`:全局 Context(AuthContext / TaskContext)
|
||||
- `components/`:遗留通用组件(VideoPreviewModal)
|
||||
|
||||
## 类型定义规范
|
||||
|
||||
@@ -248,14 +365,27 @@ import { formatDate } from '@/shared/lib/media';
|
||||
- **必须持久化**:
|
||||
- 标题样式 ID / 字幕样式 ID
|
||||
- 标题字号 / 字幕字号
|
||||
- 标题显示模式(`short` / `persistent`)
|
||||
- 背景音乐选择 / 音量 / 开关状态
|
||||
- 输出画面比例(`9:16` / `16:9`)
|
||||
- 素材选择 / 历史作品选择
|
||||
- 选中配音 ID (`selectedAudioId`)
|
||||
- 语速 (`speed`,声音克隆模式)
|
||||
- 时间轴段信息 (`useTimelineEditor` 的 localStorage)
|
||||
|
||||
### 历史文案(独立持久化)
|
||||
|
||||
`useSavedScripts` hook 独立管理历史文案的 localStorage 持久化:
|
||||
- key: `vigent_{storageKey}_savedScripts`
|
||||
- 仅在用户手动保存/删除时写入 localStorage,不使用自动持久化 effect
|
||||
- 与 `useHomePersistence` 完全独立,互不影响
|
||||
|
||||
### 实施规范
|
||||
- 使用 `storageKey = userId || 'guest'`,按用户隔离。
|
||||
- **恢复先于保存**:恢复完成前禁止写入(`isRestored` 保护)。
|
||||
- 避免默认值覆盖用户选择(优先读取已保存值)。
|
||||
- 优先使用 `useHomePersistence` 集中管理恢复/保存,页面内避免分散的 localStorage 读写。
|
||||
- **禁止使用签名 URL 作为持久化标识**:Supabase Storage 签名 URL 每次请求都变化,必须使用后端返回的稳定 `id` 字段。
|
||||
- 如需新增持久化字段,必须加入恢复与保存逻辑,并更新本节。
|
||||
|
||||
---
|
||||
@@ -265,6 +395,7 @@ import { formatDate } from '@/shared/lib/media';
|
||||
- 片头标题与发布信息标题统一限制 15 字。
|
||||
- 中文输入法合成阶段不截断,合成结束后才校验长度。
|
||||
- 首页片头标题修改会同步写入 `vigent_${storageKey}_publish_title`。
|
||||
- 标题显示模式使用 `short` / `persistent` 两个固定值;默认 `short`(短暂显示 4 秒)。
|
||||
- 避免使用 `maxLength` 强制截断输入法合成态。
|
||||
- 推荐使用 `@/shared/hooks/useTitleInput` 统一处理输入逻辑。
|
||||
|
||||
@@ -273,7 +404,8 @@ import { formatDate } from '@/shared/lib/media';
|
||||
## 发布页交互规则
|
||||
|
||||
- 发布按钮在未选择任何平台时禁用
|
||||
- 仅保留“立即发布”,不再提供定时发布 UI/参数
|
||||
- 仅保留"立即发布",不再提供定时发布 UI/参数
|
||||
- **作品选择持久化**:使用 `video.id`(稳定标识)而非 `video.path`(签名 URL)进行选择、比较和 localStorage 存储。发布时根据 `id` 查找对应 `path` 发送请求。
|
||||
|
||||
---
|
||||
|
||||
@@ -293,9 +425,11 @@ import { formatDate } from '@/shared/lib/media';
|
||||
|
||||
| 接口 | 方法 | 功能 |
|
||||
|------|------|------|
|
||||
| `/api/ref-audios` | POST | 上传参考音频 (multipart/form-data: file + ref_text) |
|
||||
| `/api/ref-audios` | POST | 上传参考音频 (multipart/form-data: file,ref_text 可选,后端自动 Whisper 转写) |
|
||||
| `/api/ref-audios` | GET | 列出用户的参考音频 |
|
||||
| `/api/ref-audios/{id}` | PUT | 重命名参考音频 |
|
||||
| `/api/ref-audios/{id}` | DELETE | 删除参考音频 (id 需 encodeURIComponent) |
|
||||
| `/api/ref-audios/{id}/retranscribe` | POST | 重新识别参考音频文字(Whisper 转写 + 超 10s 自动截取) |
|
||||
|
||||
### 视频生成 API 扩展
|
||||
|
||||
@@ -314,7 +448,8 @@ await api.post('/api/videos/generate', {
|
||||
text: '口播文案',
|
||||
tts_mode: 'voiceclone',
|
||||
ref_audio_id: 'user_id/timestamp_name.wav',
|
||||
ref_text: '参考音频对应文字',
|
||||
ref_text: '参考音频对应文字', // 从参考音频 metadata 自动获取
|
||||
speed: 1.0, // 语速 (0.8-1.2)
|
||||
});
|
||||
```
|
||||
|
||||
@@ -328,8 +463,14 @@ const stream = await navigator.mediaDevices.getUserMedia({ audio: true });
|
||||
const mediaRecorder = new MediaRecorder(stream, { mimeType: 'audio/webm' });
|
||||
```
|
||||
|
||||
### 参考音频自动处理
|
||||
|
||||
- **自动转写**: 上传参考音频时后端自动调用 Whisper 转写内容作为 `ref_text`,无需用户手动输入
|
||||
- **自动截取**: 参考音频超过 10 秒时自动在静音点截取前 10 秒(CosyVoice 建议 3-10 秒)
|
||||
- **重新识别**: 旧参考音频可通过 retranscribe 端点重新转写并截取
|
||||
|
||||
### UI 结构
|
||||
|
||||
配音方式使用 Tab 切换:
|
||||
- **EdgeTTS 音色** - 预设音色 2x3 网格
|
||||
- **声音克隆** - 参考音频列表 + 在线录音 + 参考文字输入
|
||||
- **声音克隆** - 参考音频列表 + 在线录音 + 语速下拉菜单 (5 档: 较慢/稍慢/正常/稍快/较快)
|
||||
|
||||
@@ -5,18 +5,19 @@ ViGent2 的前端界面,采用 Next.js 16 + TailwindCSS 构建。
|
||||
## ✨ 核心功能
|
||||
|
||||
### 1. 视频生成 (`/`)
|
||||
- **素材管理**: 拖拽上传人物视频,实时预览。
|
||||
- **素材重命名**: 支持在列表中直接重命名素材。
|
||||
- **文案配音**: 集成 EdgeTTS,支持多音色选择 (云溪 / 晓晓)。
|
||||
- **AI 标题/标签**: 一键生成视频标题与标签 (Day 14)。
|
||||
- **标题/字幕样式**: 样式选择 + 预览 + 字号调节 (Day 16)。
|
||||
- **背景音乐**: 试听 + 音量控制 + 选择持久化 (Day 16)。
|
||||
- **交互优化**: 选择项持久化、列表内定位、刷新回顶部 (Day 16)。
|
||||
- **预览一致性**: 标题/字幕预览按素材分辨率缩放,效果更接近成片 (Day 17)。
|
||||
- **一、文案提取与编辑**: 文案输入/提取/翻译/保存。
|
||||
- **二、标题与字幕**: 片头标题/副标题/字幕样式配置;短暂显示/常驻显示对标题和副标题同时生效。
|
||||
- **三、配音**: 配音方式(EdgeTTS/声音克隆)+ 配音列表(生成/试听/管理)合并为一个板块。
|
||||
- **四、素材编辑**: 视频素材(上传/选择/管理)+ 时间轴编辑(波形/色块/拖拽排序)合并为一个板块。
|
||||
- **五、背景音乐**: 试听 + 音量控制 + 选择持久化。
|
||||
- **六、作品**(右栏): 作品列表 + 作品预览合并为一个板块。
|
||||
- **进度追踪**: 实时显示视频生成进度 (10% -> 100%)。
|
||||
- **作品预览**: 生成完成后直接播放下载(作品预览 + 历史作品)。
|
||||
- **预览优化**: 预览视频 `metadata` 预取,首帧加载更快。
|
||||
- **本地保存**: 文案/标题/偏好由 `useHomePersistence` 统一持久化,刷新后恢复 (Day 14/17)。
|
||||
- **历史文案**: 手动保存/加载/删除历史文案,独立 localStorage 持久化 (Day 23)。
|
||||
- **选择持久化**: 首页/发布页作品选择均使用稳定 `id` 持久化,刷新保持用户选择;新视频生成后自动选中最新 (Day 21)。
|
||||
- **AI 多语言翻译**: 支持 9 种目标语言翻译文案 + 还原原文 (Day 22)。
|
||||
|
||||
### 2. 全自动发布 (`/publish`) [Day 7 新增]
|
||||
- **多平台管理**: 统一管理抖音、微信视频号、B站、小红书账号状态。
|
||||
@@ -26,35 +27,58 @@ ViGent2 的前端界面,采用 Next.js 16 + TailwindCSS 构建。
|
||||
- Cookie 自动保存与状态同步。
|
||||
- **发布配置**: 设置视频标题、标签、简介。
|
||||
- **作品选择**: 卡片列表 + 搜索 + 预览弹窗。
|
||||
- **选择持久化**: 使用稳定 `video.id` 持久化选择,刷新保持;新视频生成自动选中最新 (Day 21)。
|
||||
- **预览兼容**: 签名 URL / 相对路径均可直接预览。
|
||||
- **发布方式**: 仅支持 "立即发布"。
|
||||
|
||||
### 3. 声音克隆 [Day 13 新增]
|
||||
- **TTS 模式选择**: EdgeTTS (预设音色) / 声音克隆 (自定义音色) 切换。
|
||||
- **参考音频管理**: 上传/列表/删除参考音频 (3-20秒 WAV)。
|
||||
- **一键克隆**: 选择参考音频后自动调用 Qwen3-TTS 服务。
|
||||
- **参考音频管理**: 上传/列表/重命名/删除参考音频,上传后自动 Whisper 转写 ref_text + 超 10s 自动截取。
|
||||
- **重新识别**: 旧参考音频可重新转写并截取 (RotateCw 按钮)。
|
||||
- **一键克隆**: 选择参考音频后自动调用 CosyVoice 3.0 服务。
|
||||
- **语速控制**: 声音克隆模式下支持 5 档语速 (0.8-1.2),选择持久化 (Day 23)。
|
||||
- **多语言支持**: EdgeTTS 10 语言声音列表,声音克隆 language 透传 (Day 22)。
|
||||
|
||||
### 4. 字幕与标题 [Day 13 新增]
|
||||
- **片头标题**: 可选输入,限制 15 字,视频开头显示 3 秒淡入淡出标题。
|
||||
### 4. 配音前置 + 时间轴编排 [Day 23 新增]
|
||||
- **配音独立生成**: 先生成配音 → 选中配音 → 再选素材 → 生成视频。
|
||||
- **配音管理面板**: 生成/试听/改名/删除/选中,异步生成 + 进度轮询。
|
||||
- **时间轴编辑器**: wavesurfer.js 音频波形 + 色块可视化素材分配,拖拽分割线调整各段时长。
|
||||
- **素材截取设置**: ClipTrimmer 双手柄 range slider + HTML5 视频预览播放。
|
||||
- **拖拽排序**: 时间轴色块支持 HTML5 Drag & Drop 调换素材顺序。
|
||||
- **自定义分配**: 后端 `custom_assignments` 支持用户定义的素材分配方案(含 `source_start/source_end` 截取区间)。
|
||||
- **时间轴语义对齐**: 超出音频时仅保留可见段并截齐末段,超出段不参与生成;不足音频时最后可见段自动循环补齐。
|
||||
- **画面比例控制**: 时间轴顶部支持 `9:16 / 16:9` 输出比例选择,设置持久化并透传后端。
|
||||
|
||||
### 5. 字幕与标题 [Day 13 新增]
|
||||
- **片头标题**: 可选输入,限制 15 字;支持”短暂显示 / 常驻显示”,默认短暂显示(4 秒),对标题和副标题同时生效。
|
||||
- **片头副标题**: 可选输入,限制 20 字;显示在主标题下方,用于补充说明或悬念引导;独立样式配置(字体/字号/颜色/间距),可由 AI 同时生成;与标题共享显示模式设定;仅在视频画面中显示,不参与发布标题 (Day 25)。
|
||||
- **标题同步**: 首页片头标题修改会同步到发布信息标题。
|
||||
- **逐字高亮字幕**: 卡拉OK效果,默认开启,可关闭。
|
||||
- **自动对齐**: 基于 faster-whisper 生成字级别时间戳。
|
||||
- **样式预设**: 标题/字幕样式选择 + 预览 + 字号调节 (Day 16)。
|
||||
- **样式预设**: 标题/字幕/副标题样式选择 + 预览 + 字号调节 (Day 16/25)。
|
||||
- **默认样式**: 标题 90px 站酷快乐体;字幕 60px 经典黄字 + DingTalkJinBuTi (Day 17)。
|
||||
- **样式持久化**: 标题/字幕样式与字号刷新保留 (Day 17)。
|
||||
- **样式持久化**: 标题/字幕/副标题样式与字号刷新保留 (Day 17/25)。
|
||||
|
||||
### 5. 背景音乐 [Day 16 新增]
|
||||
### 6. 背景音乐 [Day 16 新增]
|
||||
- **试听预览**: 点击试听即选中,音量滑块实时生效。
|
||||
- **混音控制**: 仅影响 BGM,配音保持原音量。
|
||||
|
||||
### 6. 账户设置 [Day 15 新增]
|
||||
### 7. 账户设置 [Day 15 新增]
|
||||
- **手机号登录**: 11位中国手机号验证登录。
|
||||
- **账户下拉菜单**: 显示有效期 + 修改密码 + 安全退出。
|
||||
- **账户下拉菜单**: 显示手机号(中间四位脱敏)+ 有效期 + 修改密码 + 安全退出。
|
||||
- **修改密码**: 弹窗输入当前密码与新密码,修改后强制重新登录。
|
||||
- **登录即时生效**: 登录成功后 AuthContext 立即写入用户数据,无需刷新即显示手机号。
|
||||
|
||||
### 7. 文案提取助手 (`ScriptExtractionModal`) [Day 15 新增]
|
||||
### 8. 付费开通会员 (`/pay`)
|
||||
- **支付宝电脑网站支付**: 跳转支付宝官方收银台,支持扫码/账号登录/余额等多种支付方式。
|
||||
- **自动激活**: 支付成功后异步回调自动激活会员(有效期 1 年),前端轮询检测支付结果。
|
||||
- **到期续费**: 会员到期后登录自动跳转付费页续费,流程与首次开通一致。
|
||||
- **管理员激活**: 管理员手动激活功能并存,两种方式互不影响。
|
||||
|
||||
### 8. 文案提取助手 (`ScriptExtractionModal`) [Day 15 新增]
|
||||
- **多源提取**: 支持文件拖拽上传与 URL 粘贴 (B站/抖音/TikTok)。
|
||||
- **AI 洗稿**: 集成 GLM-4.7-Flash,自动改写为口播文案。
|
||||
- **AI 智能改写**: 集成 GLM-4.7-Flash,自动改写为口播文案。
|
||||
- **自定义提示词**: 可自定义改写提示词,留空使用默认;设置持久化到 localStorage (Day 25)。
|
||||
- **一键填入**: 提取结果直接填充至视频生成输入框。
|
||||
- **智能交互**: 实时进度展示,防误触设计。
|
||||
|
||||
@@ -64,6 +88,7 @@ ViGent2 的前端界面,采用 Next.js 16 + TailwindCSS 构建。
|
||||
- **样式**: TailwindCSS
|
||||
- **图标**: Lucide React
|
||||
- **组件**: 自定义现代化组件 (Glassmorphism 风格)
|
||||
- **音频波形**: wavesurfer.js (时间轴编辑器)
|
||||
- **API**: Axios 实例 `@/shared/api/axios` (对接后端 FastAPI :8006)
|
||||
|
||||
## 🚀 开发指南
|
||||
@@ -91,6 +116,8 @@ src/
|
||||
│ ├── page.tsx # 视频生成主页
|
||||
│ ├── publish/ # 发布管理页
|
||||
│ │ └── page.tsx
|
||||
│ ├── pay/ # 付费开通会员页
|
||||
│ │ └── page.tsx
|
||||
│ └── layout.tsx # 全局布局 (导航栏)
|
||||
├── features/
|
||||
│ ├── home/
|
||||
@@ -115,5 +142,8 @@ src/
|
||||
## 🎨 设计规范
|
||||
|
||||
- **主色调**: 深紫/黑色系 (Dark Mode)
|
||||
- **交互**: 悬停微动画 (Hover Effects)
|
||||
- **响应式**: 适配桌面端大屏操作
|
||||
- **交互**: 悬停微动画 (Hover Effects);操作按钮默认半透明可见 (opacity-40),hover 时全亮,兼顾触屏设备
|
||||
- **响应式**: 适配桌面端与移动端;发布页平台卡片响应式布局(移动端紧凑/桌面端宽松)
|
||||
- **滚动体验**: 列表滚动条统一隐藏 (hide-scrollbar);刷新后自动回到顶部(禁用浏览器滚动恢复 + 列表 scroll 时间门控)
|
||||
- **样式预览**: 浮动预览窗口,桌面端左上角 280px,移动端右下角 160px(不遮挡控件)
|
||||
- **输入辅助**: 标题/副标题输入框实时字数计数器,超限变红
|
||||
|
||||
@@ -298,12 +298,20 @@ Response: audio/wav 文件
|
||||
SoX could not be found!
|
||||
```
|
||||
|
||||
**解决**: 通过 conda 安装 sox:
|
||||
**解决**:
|
||||
|
||||
1. 通过 conda 安装 sox:
|
||||
|
||||
```bash
|
||||
conda install -y -c conda-forge sox
|
||||
```
|
||||
|
||||
2. 确保启动脚本 `run_qwen_tts.sh` 中已 export conda env bin 到 PATH(PM2 启动时系统 PATH 不含 conda 环境目录):
|
||||
|
||||
```bash
|
||||
export PATH="/home/rongye/ProgramFiles/miniconda3/envs/qwen-tts/bin:$PATH"
|
||||
```
|
||||
|
||||
### CUDA 内存不足
|
||||
|
||||
Qwen3-TTS 1.7B 通常需要 8-10GB VRAM。如果遇到 OOM:
|
||||
@@ -371,6 +379,7 @@ FOR INSERT TO anon WITH CHECK (bucket_id = 'ref-audios');
|
||||
|
||||
| 日期 | 版本 | 说明 |
|
||||
|------|------|------|
|
||||
| 2026-02-09 | 1.2.0 | 修复 SoX PATH 问题(run_qwen_tts.sh export conda bin),每次生成后 empty_cache() |
|
||||
| 2026-01-30 | 1.1.0 | 明确默认模型升级为 1.7B-Base,替换旧版 0.6B 路径 |
|
||||
|
||||
---
|
||||
|
||||
@@ -15,9 +15,13 @@
|
||||
原有流程:
|
||||
文本 → EdgeTTS → 音频 → LatentSync → FFmpeg合成 → 最终视频
|
||||
|
||||
新流程:
|
||||
文本 → EdgeTTS → 音频 ─┬→ LatentSync → 唇形视频 ─┐
|
||||
└→ faster-whisper → 字幕JSON ─┴→ Remotion合成 → 最终视频
|
||||
新流程 (单素材):
|
||||
文本 → EdgeTTS/Qwen3-TTS/预生成配音 → 音频 ─┬→ LatentSync → 唇形视频 ─┐
|
||||
└→ faster-whisper → 字幕JSON ─┴→ Remotion合成 → 最终视频
|
||||
|
||||
新流程 (多素材):
|
||||
音频 → 多素材按 custom_assignments 拼接 → LatentSync (单次推理) → 唇形视频 ─┐
|
||||
音频 → faster-whisper → 字幕JSON ─────────────────────────────────────────────┴→ Remotion合成 → 最终视频
|
||||
```
|
||||
|
||||
## 系统要求
|
||||
@@ -140,7 +144,7 @@ remotion/
|
||||
| 阶段 | 进度 | 说明 |
|
||||
|------|------|------|
|
||||
| 下载素材 | 0% → 5% | 从 Supabase 下载输入视频 |
|
||||
| TTS 语音生成 | 5% → 25% | EdgeTTS 或 Qwen3-TTS 生成音频 |
|
||||
| TTS 语音生成 | 5% → 25% | EdgeTTS / Qwen3-TTS / 预生成配音下载 |
|
||||
| 唇形同步 | 25% → 80% | LatentSync 推理 |
|
||||
| 字幕对齐 | 80% → 85% | faster-whisper 生成字级别时间戳 |
|
||||
| Remotion 渲染 | 85% → 95% | 合成字幕和标题 |
|
||||
@@ -181,7 +185,8 @@ Remotion 渲染参数在 `backend/app/services/remotion_service.py` 中配置:
|
||||
| 参数 | 默认值 | 说明 |
|
||||
|------|--------|------|
|
||||
| `fps` | 25 | 输出帧率 |
|
||||
| `title_duration` | 3.0 | 标题显示时长(秒) |
|
||||
| `title_display_mode` | `short` | 标题显示模式(`short`=短暂显示;`persistent`=常驻显示) |
|
||||
| `title_duration` | 4.0 | 标题显示时长(秒,仅 `short` 模式生效) |
|
||||
|
||||
---
|
||||
|
||||
@@ -282,4 +287,6 @@ WhisperService(device="cuda:0") # 或 "cuda:1"
|
||||
| 日期 | 版本 | 说明 |
|
||||
|------|------|------|
|
||||
| 2026-01-29 | 1.0.0 | 初始版本,使用 faster-whisper + Remotion 实现逐字高亮字幕和片头标题 |
|
||||
| 2026-02-10 | 1.1.0 | 更新架构图:多素材 concat-then-infer、预生成配音选项 |
|
||||
| 2026-01-30 | 1.0.1 | 字幕高亮样式与标题动画优化,视觉表现更清晰 |
|
||||
| 2026-02-25 | 1.2.0 | 字幕时间戳从线性插值改为 Whisper 节奏映射,修复长视频字幕漂移 |
|
||||
|
||||
@@ -1,427 +0,0 @@
|
||||
# 数字人口播视频生成系统 - 实现计划
|
||||
|
||||
## 项目目标
|
||||
|
||||
构建一个开源的数字人口播视频生成系统,功能包括:
|
||||
- 上传静态人物视频 → 生成口播视频(唇形同步)
|
||||
- TTS 配音或声音克隆
|
||||
- 字幕自动生成与渲染
|
||||
- AI 自动生成标题与标签
|
||||
- 一键发布到多个社交平台
|
||||
|
||||
---
|
||||
|
||||
## 技术架构
|
||||
|
||||
```
|
||||
┌─────────────────────────────────────────────────────────┐
|
||||
│ 前端 (Next.js) │
|
||||
│ 素材管理 | 视频生成 | 发布管理 | 任务状态 │
|
||||
└─────────────────────────────────────────────────────────┘
|
||||
│ REST API
|
||||
▼
|
||||
┌─────────────────────────────────────────────────────────┐
|
||||
│ 后端 (FastAPI) │
|
||||
├─────────────────────────────────────────────────────────┤
|
||||
│ 异步任务队列 (asyncio) │
|
||||
│ ├── 视频生成任务 │
|
||||
│ ├── TTS 配音任务 │
|
||||
│ └── 自动发布任务 │
|
||||
└─────────────────────────────────────────────────────────┘
|
||||
│ │ │
|
||||
▼ ▼ ▼
|
||||
┌──────────┐ ┌──────────┐ ┌──────────┐
|
||||
│LatentSync│ │ FFmpeg │ │Playwright│
|
||||
│ 唇形同步 │ │ 视频合成 │ │ 自动发布 │
|
||||
└──────────┘ └──────────┘ └──────────┘
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 技术选型
|
||||
|
||||
| 模块 | 技术选择 | 备选方案 |
|
||||
|------|----------|----------|
|
||||
| **前端框架** | Next.js 16 | Vue 3 + Vite |
|
||||
| **UI 组件库** | TailwindCSS (自定义组件) | Ant Design |
|
||||
| **后端框架** | FastAPI | Flask |
|
||||
| **任务队列** | FastAPI BackgroundTasks (asyncio) | Celery + Redis |
|
||||
| **唇形同步** | **LatentSync 1.6** | MuseTalk / Wav2Lip |
|
||||
| **TTS 配音** | EdgeTTS | CosyVoice |
|
||||
| **声音克隆** | **Qwen3-TTS 1.7B** ✅ | GPT-SoVITS |
|
||||
| **视频处理** | FFmpeg | MoviePy |
|
||||
| **自动发布** | Playwright | 自行实现 |
|
||||
| **数据库** | Supabase (PostgreSQL) | MySQL |
|
||||
| **文件存储** | Supabase Storage | 阿里云 OSS |
|
||||
|
||||
> **修正 (18:10)**:当前实现采用 Next.js 16、FastAPI BackgroundTasks 与 Supabase Storage/Auth,自动发布基于 Playwright。
|
||||
|
||||
---
|
||||
|
||||
## ✅ 现状补充 (Day 17)
|
||||
|
||||
- 前端已拆分为组件化结构(`features/home/ui/`),主页面逻辑集中。
|
||||
- 通用工具 `media.ts` 统一处理 API Base / 资源 URL / 日期格式化。
|
||||
- 作品预览弹窗统一样式,并支持素材/发布预览复用。
|
||||
- 标题/字幕预览按素材分辨率缩放,效果更接近成片。
|
||||
|
||||
---
|
||||
|
||||
## 分阶段实施计划
|
||||
|
||||
### 阶段一:核心功能验证 (MVP)
|
||||
|
||||
> **目标**:验证 LatentSync + EdgeTTS 效果,跑通端到端流程
|
||||
|
||||
#### 1.1 环境搭建
|
||||
|
||||
参考 `models/LatentSync/DEPLOY.md` 完成 LatentSync 环境与权重部署。
|
||||
|
||||
#### 1.2 集成 EdgeTTS
|
||||
|
||||
```python
|
||||
# tts_engine.py
|
||||
import edge_tts
|
||||
import asyncio
|
||||
|
||||
async def text_to_speech(text: str, voice: str = "zh-CN-YunxiNeural", output_path: str = "output.mp3"):
|
||||
communicate = edge_tts.Communicate(text, voice)
|
||||
await communicate.save(output_path)
|
||||
return output_path
|
||||
```
|
||||
|
||||
#### 1.3 端到端测试脚本
|
||||
|
||||
```python
|
||||
# test_pipeline.py
|
||||
"""
|
||||
1. 文案 → EdgeTTS → 音频
|
||||
2. 静态视频 + 音频 → LatentSync → 口播视频
|
||||
3. 添加字幕 → FFmpeg → 最终视频
|
||||
"""
|
||||
```
|
||||
|
||||
#### 1.4 验证标准
|
||||
- [ ] LatentSync 能正常推理
|
||||
- [ ] 唇形与音频同步率 > 90%
|
||||
- [ ] 单个视频生成时间 < 2 分钟
|
||||
|
||||
---
|
||||
|
||||
### 阶段二:后端 API 开发
|
||||
|
||||
> **目标**:将核心功能封装为 API,支持异步任务
|
||||
|
||||
#### 2.1 项目结构
|
||||
|
||||
```
|
||||
backend/
|
||||
├── app/
|
||||
│ ├── main.py # FastAPI 入口
|
||||
│ ├── api/
|
||||
│ │ ├── videos.py # 视频生成 API
|
||||
│ │ ├── materials.py # 素材管理 API
|
||||
│ │ └── publish.py # 发布管理 API
|
||||
│ ├── services/
|
||||
│ │ ├── tts_service.py # TTS 服务
|
||||
│ │ ├── lipsync_service.py # 唇形同步服务
|
||||
│ │ └── video_service.py # 视频合成服务
|
||||
│ ├── tasks/
|
||||
│ │ └── celery_tasks.py # Celery 异步任务
|
||||
│ ├── models/
|
||||
│ │ └── schemas.py # Pydantic 模型
|
||||
│ └── core/
|
||||
│ └── config.py # 配置管理
|
||||
├── requirements.txt
|
||||
└── docker-compose.yml # Redis + API
|
||||
```
|
||||
|
||||
#### 2.2 核心 API 设计
|
||||
|
||||
| 端点 | 方法 | 功能 |
|
||||
|------|------|------|
|
||||
| `/api/materials` | POST | 上传视频素材 | ✅ |
|
||||
| `/api/materials` | GET | 获取素材列表 | ✅ |
|
||||
| `/api/videos/generate` | POST | 创建视频生成任务 | ✅ |
|
||||
| `/api/videos/tasks/{id}` | GET | 查询任务状态 | ✅ |
|
||||
| `/api/videos/generated` | GET | 获取历史作品列表 | ✅ |
|
||||
| `/api/publish` | POST | 发布到社交平台 | ✅ |
|
||||
|
||||
#### 2.3 BackgroundTasks 任务定义
|
||||
|
||||
```python
|
||||
# app/api/videos.py
|
||||
background_tasks.add_task(_process_video_generation, task_id, req, user_id)
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 阶段三:前端 Web UI
|
||||
|
||||
> **目标**:提供用户友好的操作界面
|
||||
|
||||
#### 3.1 页面设计
|
||||
|
||||
| 页面 | 功能 |
|
||||
|------|------|
|
||||
| **素材库** | 上传/管理多场景视频素材 |
|
||||
| **生成视频** | 输入文案、选择素材、生成预览 |
|
||||
| **任务中心** | 查看生成进度、下载视频 |
|
||||
| **发布管理** | 绑定平台、一键发布、定时发布 |
|
||||
|
||||
#### 3.2 技术实现
|
||||
|
||||
```bash
|
||||
# 创建 Next.js 项目
|
||||
npx create-next-app@latest frontend --typescript --tailwind --app
|
||||
|
||||
# 安装依赖
|
||||
cd frontend
|
||||
npm install axios swr
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 阶段四:社交媒体发布
|
||||
|
||||
> **目标**:集成 social-auto-upload,支持多平台发布
|
||||
|
||||
#### 4.1 复用 social-auto-upload
|
||||
|
||||
```bash
|
||||
# 复制模块
|
||||
cp -r SuperIPAgent/social-auto-upload backend/social_upload
|
||||
```
|
||||
|
||||
#### 4.2 Cookie 管理
|
||||
|
||||
```python
|
||||
# 用户通过浏览器登录 → 保存 Cookie → 后续自动发布
|
||||
```
|
||||
|
||||
#### 4.3 支持平台
|
||||
- 抖音
|
||||
- 小红书
|
||||
- 微信视频号
|
||||
- 快手
|
||||
|
||||
---
|
||||
|
||||
### 阶段五:优化与扩展
|
||||
|
||||
| 功能 | 实现方式 |
|
||||
|------|----------|
|
||||
| **声音克隆** | 集成 GPT-SoVITS,用自己的声音 |
|
||||
| **AI 标题/标签生成** | 调用大模型 API 自动生成标题与标签 ✅ |
|
||||
| **批量生成** | 上传 Excel/CSV,批量生成视频 |
|
||||
| **字幕编辑器** | 可视化调整字幕样式、位置 |
|
||||
| **Docker 部署** | 一键部署到云服务器 | ✅ |
|
||||
|
||||
---
|
||||
|
||||
### 阶段六:MuseTalk 服务器部署 (Day 2-3) ✅
|
||||
|
||||
> **目标**:在双显卡服务器上部署 MuseTalk 环境
|
||||
|
||||
- [x] Conda 环境配置 (musetalk)
|
||||
- [x] 模型权重下载 (~7GB)
|
||||
- [x] Subprocess 调用方式实现
|
||||
- [x] 健康检查功能
|
||||
|
||||
### 阶段七:MuseTalk 完整修复 (Day 4) ✅
|
||||
|
||||
> **目标**:解决推理脚本的各种兼容性问题
|
||||
|
||||
- [x] 权重检测路径修复 (软链接)
|
||||
- [x] 音视频长度不匹配修复
|
||||
- [x] 推理脚本错误日志增强
|
||||
- [x] 视频合成 MP4 生成验证
|
||||
|
||||
### 阶段八:前端功能增强 (Day 5) ✅
|
||||
|
||||
> **目标**:提升用户体验
|
||||
|
||||
- [x] Web 视频上传功能
|
||||
- [x] 上传进度显示
|
||||
- [x] 自动刷新素材列表
|
||||
|
||||
### 阶段九:唇形同步模型升级 (Day 6) ✅
|
||||
|
||||
> **目标**:从 MuseTalk 迁移到 LatentSync 1.6
|
||||
|
||||
- [x] MuseTalk → LatentSync 1.6 迁移
|
||||
- [x] 后端代码适配 (config.py, lipsync_service.py)
|
||||
- [x] Latent Diffusion 架构 (512x512 高清)
|
||||
- [x] 服务器端到端验证
|
||||
|
||||
### 阶段十:性能优化 (Day 6) ✅
|
||||
|
||||
> **目标**:提升系统响应速度和稳定性
|
||||
|
||||
- [x] 视频预压缩优化 (1080p → 720p 自动适配)
|
||||
- [x] 进度更新细化 (实时反馈)
|
||||
- [x] **常驻模型服务** (Persistent Server, 0s 加载)
|
||||
- [x] **GPU 并发控制** (串行队列防崩溃)
|
||||
|
||||
### 阶段十一:社交媒体发布完善 (Day 7) ✅
|
||||
|
||||
> **目标**:实现全自动扫码登录和多平台发布
|
||||
|
||||
- [x] QR码自动登录 (Playwright headless + Stealth)
|
||||
- [x] 多平台上传器架构 (B站/抖音/小红书)
|
||||
- [x] Cookie 自动管理
|
||||
- [x] 定时发布功能
|
||||
|
||||
### 阶段十二:用户体验优化 (Day 8) ✅
|
||||
|
||||
> **目标**:提升文件管理和历史记录功能
|
||||
|
||||
- [x] 文件名保留 (时间戳前缀 + 原始名称)
|
||||
- [x] 视频持久化 (历史视频列表 API)
|
||||
- [x] 素材/视频删除功能
|
||||
|
||||
### 阶段十三:发布模块优化 (Day 9) ✅
|
||||
|
||||
> **目标**:代码质量优化 + 发布功能验证
|
||||
|
||||
- [x] B站/抖音登录+发布验证通过
|
||||
- [x] 资源清理保障 (try-finally)
|
||||
- [x] 超时保护 (消除无限循环)
|
||||
- [x] 完整类型提示
|
||||
|
||||
### 阶段十四:用户认证系统 (Day 9) ✅
|
||||
|
||||
> **目标**:实现安全、隔离的多用户认证体系
|
||||
|
||||
- [x] Supabase 云数据库集成 (本地自托管)
|
||||
- [x] JWT + HttpOnly Cookie 认证架构
|
||||
- [x] 用户表与权限表设计 (RLS 准备)
|
||||
- [x] 认证部署文档 (Docs/SUPABASE_DEPLOY.md)
|
||||
|
||||
### 阶段十五:部署稳定性优化 (Day 9) ✅
|
||||
|
||||
> **目标**:确保生产环境服务长期稳定
|
||||
|
||||
- [x] 依赖冲突修复 (bcrypt)
|
||||
- [x] 前端构建修复 (Production Build)
|
||||
- [x] PM2 进程守护配置
|
||||
- [x] 部署手册更新 (Docs/DEPLOY_MANUAL.md)
|
||||
|
||||
### 阶段十六:HTTPS 全栈部署 (Day 10) ✅
|
||||
|
||||
> **目标**:实现安全的公网 HTTPS 访问
|
||||
|
||||
- [x] 阿里云 Nginx 反向代理配置
|
||||
- [x] Let's Encrypt SSL 证书集成
|
||||
- [x] Supabase 自托管部署 (Docker)
|
||||
- [x] 端口冲突解决 (3003/8008/8444)
|
||||
- [x] Basic Auth 管理后台保护
|
||||
|
||||
### 阶段十七:声音克隆功能集成 (Day 13) ✅
|
||||
|
||||
> **目标**:实现用户自定义声音克隆能力
|
||||
|
||||
- [x] Qwen3-TTS HTTP 服务 (独立 FastAPI,端口 8009)
|
||||
- [x] 声音克隆服务封装 (voice_clone_service.py)
|
||||
- [x] 参考音频管理 API (上传/列表/删除)
|
||||
- [x] 前端 TTS 模式选择 UI
|
||||
- [x] Supabase ref-audios Bucket 配置
|
||||
- [x] 端到端测试验证
|
||||
|
||||
### 阶段十八:手机号登录迁移 (Day 15) ✅
|
||||
|
||||
> **目标**:将认证系统从邮箱迁移到手机号
|
||||
|
||||
- [x] 数据库 Schema 迁移 (email → phone)
|
||||
- [x] 后端 API 适配 (auth.py/admin.py)
|
||||
- [x] 11位手机号校验 (正则验证)
|
||||
- [x] 修改密码功能 (/api/auth/change-password)
|
||||
- [x] 账户设置下拉菜单 (修改密码 + 有效期显示 + 退出)
|
||||
- [x] 前端登录/注册页面更新
|
||||
- [x] 数据库迁移脚本 (migrate_to_phone.sql)
|
||||
|
||||
### 阶段十九:深度性能优化与服务守护 (Day 16) ✅
|
||||
|
||||
> **目标**:提升系统响应速度与服务稳定性
|
||||
|
||||
- [x] Flash Attention 2 集成 (Qwen3-TTS 加速 5x)
|
||||
- [x] LatentSync 性能调优 (OMP 线程限制 + 原生 Flash Attn)
|
||||
- [x] Watchdog 服务守护 (自动重启僵死服务)
|
||||
- [x] 文档体系更新 (部署手册与运维指南)
|
||||
|
||||
---
|
||||
|
||||
## 项目目录结构 (最终)
|
||||
|
||||
---
|
||||
|
||||
## 开发时间估算
|
||||
|
||||
| 阶段 | 预计时间 | 说明 |
|
||||
|------|----------|------|
|
||||
| 阶段一 | 2-3 天 | 环境搭建 + 效果验证 |
|
||||
| 阶段二 | 3-4 天 | 后端 API 开发 |
|
||||
| 阶段三 | 3-4 天 | 前端 UI 开发 |
|
||||
| 阶段四 | 2 天 | 社交发布集成 |
|
||||
| 阶段五 | 按需 | 持续优化 |
|
||||
|
||||
**总计**:约 10-13 天可完成 MVP
|
||||
|
||||
---
|
||||
|
||||
### 阶段二十:代码质量与安全优化 (Day 20) ✅
|
||||
|
||||
> **目标**:全面提升代码健壮性、安全性与配置灵活性
|
||||
|
||||
- [x] **安全性修复**:硬编码 Cookie/Key 移除,ffprobe 安全调用,日志脱敏
|
||||
- [x] **配置化改造**:存储路径、CORS、录屏开关全面环境变量化
|
||||
- [x] **性能优化**:API 异步改造 (httpx/asyncio),大文件流式上传
|
||||
- [x] **构建优化**:Remotion 预编译,统一启动脚本 `run_backend.sh`
|
||||
|
||||
---
|
||||
|
||||
## 验证计划
|
||||
|
||||
### 阶段一验证
|
||||
1. 运行 `test_pipeline.py` 脚本
|
||||
2. 检查生成视频的唇形同步效果
|
||||
3. 确认音画同步
|
||||
|
||||
### 阶段二验证
|
||||
1. 使用 Postman/curl 测试所有 API 端点
|
||||
2. 验证任务队列正常工作
|
||||
3. 检查视频生成完整流程
|
||||
|
||||
### 阶段三验证
|
||||
1. 在浏览器中完成完整操作流程
|
||||
2. 验证上传、生成、下载功能
|
||||
3. 检查响应式布局
|
||||
|
||||
### 阶段四验证
|
||||
1. 发布一个测试视频到抖音
|
||||
2. 验证定时发布功能
|
||||
3. 检查发布状态同步
|
||||
|
||||
---
|
||||
|
||||
## 硬件要求
|
||||
|
||||
| 配置 | 最低要求 | 推荐配置 |
|
||||
|------|----------|----------|
|
||||
| **GPU** | NVIDIA GTX 1060 6GB | RTX 3060 12GB+ |
|
||||
| **内存** | 16GB | 32GB |
|
||||
| **存储** | 100GB SSD | 500GB SSD |
|
||||
| **CUDA** | 11.7+ | 12.0+ |
|
||||
|
||||
---
|
||||
|
||||
## 下一步行动
|
||||
|
||||
1. **确认你的 GPU 配置** - MuseTalk 需要 NVIDIA GPU
|
||||
2. **选择开发起点** - 从阶段一开始验证效果
|
||||
3. **确定项目位置** - 在哪个目录创建项目
|
||||
|
||||
---
|
||||
|
||||
> [!IMPORTANT]
|
||||
> 请确认以上计划是否符合你的需求,有任何需要调整的地方请告诉我。
|
||||
@@ -1,8 +1,8 @@
|
||||
# ViGent2 开发任务清单 (Task Log)
|
||||
|
||||
**项目**: ViGent2 数字人口播视频生成系统
|
||||
**进度**: 100% (Day 20 - 代码质量与安全优化)
|
||||
**更新时间**: 2026-02-07
|
||||
**项目**: ViGent2 数字人口播视频生成系统
|
||||
**进度**: 100% (Day 26 - 前端优化:板块合并 + 序号标题)
|
||||
**更新时间**: 2026-02-25
|
||||
|
||||
---
|
||||
|
||||
@@ -10,12 +10,128 @@
|
||||
|
||||
> 这里记录了每一天的核心开发内容与 milestone。
|
||||
|
||||
### Day 20: 代码质量与安全优化 (Current)
|
||||
### Day 26: 前端优化:板块合并 + 序号标题 + UI 精细化 (Current)
|
||||
- [x] **板块合并**: 首页 9 个独立板块合并为 5 个主板块(配音方式+配音列表→三、配音;视频素材+时间轴→四、素材编辑;历史作品+作品预览→六、作品)。
|
||||
- [x] **中文序号标题**: 一~十编号(首页一~六,发布页七~十),移除所有 emoji 图标。
|
||||
- [x] **embedded 模式**: 6 个组件支持 `embedded` prop,嵌入时不渲染外层卡片/标题。
|
||||
- [x] **配音列表两行布局**: embedded 模式第 1 行语速+生成配音(右对齐),第 2 行配音列表+刷新。
|
||||
- [x] **子组件自渲染子标题**: MaterialSelector/TimelineEditor embedded 时自渲染 h3 子标题+操作按钮同行。
|
||||
- [x] **下拉对齐**: TitleSubtitlePanel 标签统一 `w-20`,下拉 `w-1/3 min-w-[100px]`,垂直对齐。
|
||||
- [x] **参考音频文案简化**: 底部段落移至标题旁,简化为 `(上传3-10秒语音样本)`。
|
||||
- [x] **账户手机号显示**: AccountSettingsDropdown 新增手机号显示。
|
||||
- [x] **标题显示模式对副标题生效**: payload 条件修复 + UI 下拉上移至板块标题行。
|
||||
- [x] **登录后用户信息立即可用**: AuthContext 暴露 `setUser`,登录成功后立即写入用户数据,修复登录后显示"未知账户"的问题。
|
||||
- [x] **文案微调**: 素材描述改为"上传自拍视频,最多可选4个";显示模式选项加"标题"前缀。
|
||||
- [x] **UI/UX 体验优化**: 操作按钮移动端可见(opacity-40)、手机号脱敏、标题字数计数器、时间轴拖拽抓手图标、截取滑块放大。
|
||||
- [x] **代码质量修复**: 密码弹窗 success 清空、MaterialSelector useMemo + disabled 守卫、TimelineEditor useMemo。
|
||||
- [x] **发布页响应式布局**: 平台账号卡片单行布局,移动端紧凑(小图标/小按钮),桌面端宽松(与其他板块风格一致)。
|
||||
- [x] **移动端刷新回顶部**: `scrollRestoration = "manual"` + 列表 scroll 时间门控(`scrollEffectsEnabled` ref,1 秒内禁止自动滚动)+ 延迟兜底 `scrollTo(0,0)`。
|
||||
- [x] **移动端样式预览缩小**: FloatingStylePreview 移动端宽度缩至 160px,位置改为右下角,不遮挡样式调节控件。
|
||||
- [x] **列表滚动条统一隐藏**: 所有列表(BGM/配音/作品/素材/文案提取)滚动条改回 `hide-scrollbar`。
|
||||
- [x] **移动端配音/素材适配**: VoiceSelector 按钮移动端缩小(`px-2 sm:px-4`)修复克隆声音不可见;MaterialSelector 标题行移除 `whitespace-nowrap`,描述移动端隐藏,修复刷新按钮溢出。
|
||||
- [x] **生成配音按钮放大**: 从辅助尺寸(`text-xs px-2 py-1`)升级为主操作尺寸(`text-sm font-medium px-4 py-2`),新增阴影。
|
||||
- [x] **生成进度条位置调整**: 从"六、作品"卡片内部提取到右栏独立卡片,显示在作品卡片上方,更醒目。
|
||||
- [x] **LatentSync 超时修复**: httpx 超时从 1200s(20 分钟)改为 3600s(1 小时),修复 2 分钟以上视频口型推理超时回退问题。
|
||||
- [x] **字幕时间戳节奏映射**: `whisper_service.py` 从全程线性插值改为 Whisper 逐词节奏映射,修复长视频字幕漂移。
|
||||
|
||||
### Day 25: 文案提取修复 + 自定义提示词 + 片头副标题
|
||||
- [x] **抖音文案提取修复**: yt-dlp Fresh cookies 报错,重写 `_download_douyin_manual` 为移动端分享页 + 自动获取 ttwid 方案。
|
||||
- [x] **清理 DOUYIN_COOKIE**: 新方案不再需要手动维护 Cookie,从 `.env`/`config.py`/`service.py` 全面删除。
|
||||
- [x] **AI 智能改写自定义提示词**: 后端 `rewrite_script()` 支持 `custom_prompt` 参数;前端 checkbox 旁新增折叠式提示词编辑区,localStorage 持久化。
|
||||
- [x] **SSR 构建修复**: `useState` 初始化 `localStorage` 访问加 `typeof window` 守卫,修复 `npm run build` 报错。
|
||||
- [x] **片头副标题**: 新增 secondary_title(后端/Remotion/前端全链路),AI 同时生成,独立样式配置,20 字限制。
|
||||
- [x] **前端文案修正**: "AI 洗稿结果"→"AI 改写结果"。
|
||||
- [x] **yt-dlp 升级**: `2025.12.08` → `2026.2.21`。
|
||||
- [x] **参考音频中文文件名修复**: `sanitize_filename()` 将存储路径清洗为 ASCII 安全字符,纯中文名哈希兜底,原始名保留为展示名。
|
||||
|
||||
### Day 24: 鉴权到期治理 + 多素材时间轴稳定性修复
|
||||
- [x] **会员到期请求时失效**: 登录与鉴权接口统一执行 `expires_at` 检查;到期后自动停用账号、清理 session,并返回“会员已到期,请续费”。
|
||||
- [x] **画面比例控制**: 时间轴新增 `9:16 / 16:9` 输出比例选择,前端持久化并透传后端,单素材/多素材统一按目标分辨率处理。
|
||||
- [x] **标题/字幕防溢出**: Remotion 与前端预览统一响应式缩放、自动换行、描边/字距/边距比例缩放,降低预览与成片差异。
|
||||
- [x] **标题显示模式**: 标题行新增“短暂显示/常驻显示”下拉;默认短暂显示(4 秒),用户选择持久化并透传至 Remotion 渲染链路。
|
||||
- [x] **MOV 方向归一化**: 新增旋转元数据解析与 orientation normalize,修复“编码横屏+旋转元数据”导致的竖屏判断偏差。
|
||||
- [x] **多素材拼接稳定性**: 片段 prepare 与 concat 统一 25fps/CFR,concat 增加 `+genpts`,缓解段切换处“画面冻结口型还动”。
|
||||
- [x] **时间轴语义对齐**: 打通 `source_end` 全链路;修复 `sourceStart>0 且 sourceEnd=0` 时长计算;生成时以时间轴可见段 assignments 为准,超出段不参与。
|
||||
- [x] **交互细节优化**: 页面刷新回顶部;素材/历史列表首轮自动滚动抑制,减少恢复状态时页面跳动。
|
||||
|
||||
### Day 23: 配音前置重构 + 素材时间轴编排 + UI 体验优化 + 声音克隆增强
|
||||
|
||||
#### 第一阶段:配音前置
|
||||
- [x] **配音生成独立化**: 新增 `generated_audios` 后端模块(router/schemas/service),5 个 API 端点,复用现有 TTSService / voice_clone_service / task_store。
|
||||
- [x] **配音管理面板**: 前端新增 `useGeneratedAudios` hook + `GeneratedAudiosPanel` 组件,支持生成/试听/改名/删除/选中。
|
||||
- [x] **UI 面板重排序**: 文案 → 标题字幕 → 配音方式 → 配音列表 → 素材选择 → BGM → 生成视频。
|
||||
- [x] **素材区门控**: 未选中配音时素材区显示遮罩,选中后显示配音时长 + 素材均分信息。
|
||||
- [x] **视频生成对接**: workflow.py 新增预生成音频分支(`generated_audio_id`),跳过内联 TTS,向后兼容。
|
||||
- [x] **持久化**: selectedAudioId 加入 useHomePersistence,刷新页面恢复选中配音。
|
||||
|
||||
#### 第二阶段:素材时间轴编排
|
||||
- [x] **时间轴编辑器**: 新增 `TimelineEditor` 组件,wavesurfer.js 音频波形 + 色块可视化素材分配,拖拽分割线调整各段时长。
|
||||
- [x] **素材截取设置**: 新增 `ClipTrimmer` 模态框,HTML5 视频预览 + 双端滑块设置源视频截取起点/终点。
|
||||
- [x] **后端自定义分配**: 新增 `CustomAssignment` 模型,`prepare_segment` 支持 `source_start`,workflow 多素材/单素材流水线支持 `custom_assignments`。
|
||||
- [x] **循环截取修复**: `stream_loop + source_start` 改为两步处理(先裁剪再循环),确保从截取起点循环而非从视频 0s 开始。
|
||||
- [x] **MaterialSelector 精简**: 移除旧的时长信息栏和拖拽排序区(功能迁移到 TimelineEditor)。
|
||||
|
||||
#### 第三阶段:UI 体验优化 + TTS 稳定性
|
||||
- [x] **TTS SoX PATH 修复**: `run_qwen_tts.sh` export conda env bin 到 PATH (Qwen3-TTS 已停用,已被 CosyVoice 3.0 替换)。
|
||||
- [x] **TTS 显存管理**: 每次生成后 `torch.cuda.empty_cache()`,asyncio.to_thread 避免阻塞事件循环 (CosyVoice 沿用相同机制)。
|
||||
- [x] **配音列表按钮统一**: Play/Edit/Delete 按钮右侧同组 hover 显示,与 RefAudioPanel 一致,移除文案摘要。
|
||||
- [x] **素材区解除配音门控**: 移除 MaterialSelector 的 selectedAudio 遮罩,素材随时可上传管理。
|
||||
- [x] **时间轴拖拽排序**: TimelineEditor 色块支持 HTML5 Drag & Drop 调换素材顺序。
|
||||
- [x] **截取设置 Range Slider**: ClipTrimmer 改为单轨道双手柄(紫色起点+粉色终点),替换两个独立滑块。
|
||||
- [x] **截取设置视频预览**: 视频区域可播放/暂停,从 sourceStart 到 sourceEnd 自动停止,拖拽手柄时实时 seek。
|
||||
|
||||
#### 第四阶段:历史文案 + Bug 修复
|
||||
- [x] **历史文案保存与加载**: 新增 `useSavedScripts` hook,手动保存/加载/删除历史文案,独立 localStorage 持久化。
|
||||
- [x] **时间轴拖拽修复**: `reorderSegments` 从属性交换改为数组移动(splice),修复拖拽后时长不跟随素材的 Bug。
|
||||
- [x] **按钮视觉统一**: 文案编辑区 4 个按钮统一为固定高度 `h-7`,移除多余 `<span>` 嵌套。
|
||||
- [x] **底部栏调整**: "保存文案"按钮移至底部右侧,移除预计时长显示。
|
||||
|
||||
#### 第五阶段:字幕语言不匹配 + 视频比例错位修复
|
||||
- [x] **字幕用原文替换 Whisper 转录**: `align()` 新增 `original_text` 参数,字幕文字永远用配音保存的原始文案。
|
||||
- [x] **Remotion 动态视频尺寸**: `calculateMetadata` 从 props 读取真实尺寸,修复标题/字幕比例错位。
|
||||
- [x] **英文空格丢失修复**: `split_word_to_chars` 遇到空格时 flush buffer + pending_space 标记。
|
||||
|
||||
#### 第六阶段:参考音频自动转写 + 语速控制
|
||||
- [x] **Whisper 自动转写 ref_text**: 上传参考音频时自动调用 Whisper 转写内容作为 ref_text,不再使用前端固定文字。
|
||||
- [x] **参考音频自动截取**: 超过 10 秒自动在静音点截取(ffmpeg silencedetect),末尾 0.1 秒淡出避免截断爆音。
|
||||
- [x] **重新识别功能**: 新增 `POST /ref-audios/{id}/retranscribe` 端点 + 前端 RotateCw 按钮,旧音频可重新转写并截取。
|
||||
- [x] **语速控制**: 全链路 speed 参数(前端选择器 → 持久化 → 后端 → CosyVoice `inference_zero_shot(speed=)`),5 档:较慢(0.8)/稍慢(0.9)/正常(1.0)/稍快(1.1)/较快(1.2)。
|
||||
- [x] **缺少参考音频门控**: 声音克隆模式下未选参考音频时,生成配音按钮禁用 + 黄色警告提示。
|
||||
- [x] **Whisper 语言自动检测**: `transcribe()` language 参数改为可选(默认 None = 自动检测),支持多语言参考音频。
|
||||
- [x] **前端清理**: 移除固定 ref_text 常量、朗读引导文字,简化为"上传任意语音样本,系统将自动识别内容并克隆声音"。
|
||||
|
||||
### Day 22: 多素材优化 + AI 翻译 + TTS 多语言
|
||||
- [x] **多素材 Bug 修复**: 6 个高优 Bug(边界溢出、单段 fallback、除零、duration 校验、Whisper 兜底、空列表检查)。
|
||||
- [x] **架构重构**: 多素材从"逐段 LatentSync"重构为"先拼接再推理",推理次数 N→1。
|
||||
- [x] **前端优化**: payload 安全、进度消息、上传自动选中、Material 接口统一、拖拽修复、素材上限 4 个。
|
||||
- [x] **AI 多语言翻译**: 新增 `/api/ai/translate` 接口,前端 9 种语言翻译 + 还原原文。
|
||||
- [x] **TTS 多语言**: EdgeTTS 10 语言声音列表、翻译自动切换声音、声音克隆 language 透传、textLang 持久化。
|
||||
|
||||
### Day 21: 缺陷修复 + 浮动预览 + 发布重构 + 架构优化 + 多素材生成
|
||||
- [x] **Remotion 崩溃容错**: 渲染进程 SIGABRT 退出时检查输出文件,避免误判失败导致标题/字幕丢失。
|
||||
- [x] **首页作品选择持久化**: 修复 `fetchGeneratedVideos` 无条件覆盖恢复值的问题,新增 `preferVideoId` 参数控制选中逻辑。
|
||||
- [x] **发布页作品选择持久化**: 根因为签名 URL 不稳定,全面改用 `video.id` 替代 `path` 进行选择/持久化/比较。
|
||||
- [x] **预取缓存补全**: 首页预取发布页数据时加入 `id` 字段,确保缓存数据可用于持久化匹配。
|
||||
- [x] **浮动样式预览窗口**: 标题字幕预览改为 `position: fixed` 浮动窗口,固定左上角,滚动时始终可见。
|
||||
- [x] **移动端适配**: ScriptEditor 按钮换行、预览默认比例改为 9:16 竖屏。
|
||||
- [x] **多平台发布重构**: 平台配置独立化(DOUYIN_*/WEIXIN_*)、用户隔离 Cookie 管理、抖音刷脸验证二维码、微信发布流程优化。
|
||||
- [x] **前端结构微调**: ScriptExtractionModal 迁移到 features/、contexts 迁移到 shared/contexts/、清理空目录。
|
||||
- [x] **后端模块分层**: materials/tools/ref_audios 三个模块补全 router+schemas+service 分层。
|
||||
- [x] **开发规范更新**: BACKEND_DEV.md 新增渐进原则、DOC_RULES.md 取消 TASK_COMPLETE.md 手动触发约束。
|
||||
- [x] **文档全面更新**: BACKEND_DEV/README、FRONTEND_DEV、DEPLOY_MANUAL、README.md 同步更新。
|
||||
- [x] **多素材视频生成(多机位效果)**: 支持多选素材 + 拖拽排序,按素材数量均分音频时长(对齐 Whisper 字边界)自动切换机位。逐段 LatentSync + FFmpeg 拼接。前端 @dnd-kit 拖拽排序 UI。
|
||||
- [x] **字幕开关移除**: 默认启用逐字高亮字幕,移除开关及相关死代码。
|
||||
- [x] **视频格式扩展**: 上传支持 mkv/webm/flv/wmv/m4v/ts/mts 等常见格式。
|
||||
- [x] **Watchdog 优化**: 健康检查阈值提高到 5 次,新增重启冷却期 120 秒,避免误重启。
|
||||
- [x] **多素材 Bug 修复**: 修复标点分句方案对无句末标点文案无效(改为均分方案)、音频时间偏移导致口型不对齐等缺陷。
|
||||
|
||||
### Day 20: 代码质量与安全优化
|
||||
- [x] **功能性修复**: LatentSync 回退逻辑、任务状态接口认证、User 类型统一。
|
||||
- [x] **性能优化**: N+1 查询修复、视频上传流式处理、httpx 异步替换、GLM 异步包装。
|
||||
- [x] **安全修复**: 硬编码 Cookie 配置化、日志敏感信息脱敏、ffprobe 安全调用、CORS 配置化。
|
||||
- [x] **配置优化**: 存储路径环境变量化、Remotion 预编译加速、LatentSync 绝对路径。
|
||||
- [x] **文档更新**: 更新 Doc_Rules.md 清单,补齐后端与部署文档;更新 SUBTITLE_DEPLOY.md, FRONTEND_DEV.md, implementation_plan.md。
|
||||
- [x] **文档更新**: 更新 DOC_RULES.md 清单,补齐后端与部署文档;更新 SUBTITLE_DEPLOY.md, FRONTEND_DEV.md, implementation_plan.md。
|
||||
- [x] **缺陷修复**: 修复 Remotion 路径解析、发布页持久化竞态、首页选中回归、素材闭包陷阱。
|
||||
|
||||
### Day 19: 自动发布稳定性与发布体验优化 🚀
|
||||
- [x] **抖音发布稳定性**: 上传入口、封面流程、发布重试、登录失效识别与网络失败快速返回全面增强。
|
||||
@@ -59,7 +175,7 @@
|
||||
- [x] **体验细节优化**: 录音预览 URL 回收,预览弹窗滚动恢复,全局任务提示挂载。
|
||||
|
||||
### Day 16: 深度性能优化
|
||||
- [x] **Qwen-TTS 加速**: 集成 Flash Attention 2,模型加载速度提升至 8.9s。
|
||||
- [x] **Qwen-TTS 加速**: 集成 Flash Attention 2 (已停用,被 CosyVoice 3.0 替换)。
|
||||
- [x] **服务守护**: 开发 `Watchdog` 看门狗机制,自动监控并重启僵死服务。
|
||||
- [x] **LatentSync 性能确认**: 验证 DeepCache + 原生 Flash Attn 生效。
|
||||
- [x] **文档重构**: 全面更新 README、部署手册及后端文档。
|
||||
@@ -72,10 +188,10 @@
|
||||
### Day 14: AI 增强与体验优化
|
||||
- [x] **AI 标题/标签**: 集成 GLM-4API 自动生成视频元数据。
|
||||
- [x] **字幕升级**: Remotion 逐字高亮字幕 (卡拉OK效果) 及动画片头。
|
||||
- [x] **模型升级**: Qwen3-TTS 升级至 1.7B-Base 版本。
|
||||
- [x] **模型升级**: 声音克隆已迁移至 CosyVoice 3.0 (0.5B)。
|
||||
|
||||
### Day 13: 声音克隆集成
|
||||
- [x] **声音克隆微服务**: 封装 Qwen3-TTS 为独立 API (8009端口)。
|
||||
- [x] **声音克隆微服务**: 封装 CosyVoice 3.0 为独立 API (8010端口,替换 Qwen3-TTS)。
|
||||
- [x] **参考音频管理**: Supabase 存储桶配置与管理接口。
|
||||
- [x] **多模态 TTS**: 前端支持 EdgeTTS / Clone Voice 切换。
|
||||
|
||||
@@ -110,6 +226,7 @@
|
||||
## 🛤️ 后续规划 (Roadmap)
|
||||
|
||||
### 🔴 优先待办
|
||||
- [x] ~~**配音前置重构 — 第二阶段**: 素材片段截取 + 语音时间轴编排~~ ✅ Day 23 已完成
|
||||
- [ ] **批量生成架构**: 支持 Excel 导入,批量生产视频。
|
||||
- [ ] **定时任务后台化**: 迁移前端触发的定时发布到后端 APScheduler。
|
||||
- [ ] **发布任务恢复机制**: 发布任务化 + 状态持久化 + 前端断点恢复,解决刷新后状态丢失。
|
||||
@@ -127,9 +244,10 @@
|
||||
| **核心 API** | 100% | ✅ 稳定 |
|
||||
| **Web UI** | 100% | ✅ 稳定 (移动端适配) |
|
||||
| **唇形同步** | 100% | ✅ LatentSync 1.6 |
|
||||
| **TTS 配音** | 100% | ✅ EdgeTTS + Qwen3 |
|
||||
| **TTS 配音** | 100% | ✅ EdgeTTS + CosyVoice 3.0 + 配音前置 + 时间轴编排 + 自动转写 + 语速控制 |
|
||||
| **自动发布** | 100% | ✅ 抖音/微信视频号/B站/小红书 |
|
||||
| **用户认证** | 100% | ✅ 手机号 + JWT |
|
||||
| **付费会员** | 100% | ✅ 支付宝电脑网站支付 + 自动激活 |
|
||||
| **部署运维** | 100% | ✅ PM2 + Watchdog |
|
||||
|
||||
---
|
||||
|
||||
66
README.md
66
README.md
@@ -5,7 +5,7 @@
|
||||
> 📹 **上传人物** · 🎙️ **输入文案** · 🎬 **一键成片**
|
||||
|
||||
基于 **LatentSync 1.6 + EdgeTTS** 的开源数字人口播视频生成系统。
|
||||
集成 **Qwen3-TTS** 声音克隆与自动社交媒体发布功能。
|
||||
集成 **CosyVoice 3.0** 声音克隆与自动社交媒体发布功能。
|
||||
|
||||
[功能特性](#-功能特性) • [技术栈](#-技术栈) • [文档中心](#-文档中心) • [部署指南](Docs/DEPLOY_MANUAL.md)
|
||||
|
||||
@@ -15,24 +15,29 @@
|
||||
|
||||
## ✨ 功能特性
|
||||
|
||||
### 核心能力
|
||||
- 🎬 **高清唇形同步** - LatentSync 1.6 驱动,512×512 高分辨率 Latent Diffusion 模型。
|
||||
- 🎙️ **多模态配音** - 支持 **EdgeTTS** (微软超自然语音) 和 **Qwen3-TTS** (3秒极速声音克隆)。
|
||||
- 📝 **智能字幕** - 集成 faster-whisper + Remotion,自动生成逐字高亮 (卡拉OK效果) 字幕。
|
||||
- 🎨 **样式预设** - 标题/字幕样式选择 + 预览 + 字号调节,支持自定义字体库。
|
||||
- 🖼️ **作品预览一致性** - 标题/字幕预览按素材分辨率缩放,效果更接近成片。
|
||||
- 💾 **用户偏好持久化** - 首页状态统一恢复/保存,刷新后延续上次配置。
|
||||
- 🎵 **背景音乐** - 试听 + 音量控制 + 混音,保持配音音量稳定。
|
||||
- 🤖 **AI 辅助创作** - 内置 GLM-4.7-Flash,支持 B站/抖音链接文案提取、AI 洗稿、标题/标签自动生成。
|
||||
### 核心能力
|
||||
- 🎬 **高清唇形同步** - LatentSync 1.6 驱动,512×512 高分辨率 Latent Diffusion 模型。
|
||||
- 🎙️ **多模态配音** - 支持 **EdgeTTS** (微软超自然语音, 10 语言) 和 **CosyVoice 3.0** (3秒极速声音克隆, 9语言+18方言, 语速可调)。上传参考音频自动 Whisper 转写 + 智能截取。配音前置工作流:先生成配音 → 选素材 → 生成视频。
|
||||
- 📝 **智能字幕** - 集成 faster-whisper + Remotion,自动生成逐字高亮 (卡拉OK效果) 字幕。
|
||||
- 🎨 **样式预设** - 标题/副标题/字幕样式选择 + 预览 + 字号调节,支持自定义字体库。
|
||||
- 🏷️ **标题显示模式** - 片头标题支持 `短暂显示` / `常驻显示`,默认短暂显示(4秒),用户偏好自动持久化。
|
||||
- 📌 **片头副标题** - 可选副标题显示在主标题下方,独立样式配置,AI 可同时生成,20 字限制。
|
||||
- 🖼️ **作品预览一致性** - 标题/字幕预览与 Remotion 成片统一响应式缩放和自动换行,窄屏画布也稳定显示。
|
||||
- 🎞️ **多素材多机位** - 支持多选素材 + 时间轴编辑器 (wavesurfer.js 波形可视化),拖拽分割线调整时长、拖拽排序切换机位、按 `source_start/source_end` 截取片段。
|
||||
- 📐 **画面比例控制** - 时间轴一键切换 `9:16 / 16:9` 输出比例,生成链路全程按目标比例处理。
|
||||
- 💾 **用户偏好持久化** - 首页状态统一恢复/保存,刷新后延续上次配置。历史文案手动保存与加载。
|
||||
- 🎵 **背景音乐** - 试听 + 音量控制 + 混音,保持配音音量稳定。
|
||||
- 🤖 **AI 辅助创作** - 内置 GLM-4.7-Flash,支持 B站/抖音链接文案提取、AI 智能改写(支持自定义提示词)、标题/标签自动生成、9 语言翻译。
|
||||
|
||||
### 平台化功能
|
||||
- 📱 **全自动发布** - 支持抖音/微信视频号/B站/小红书立即发布;扫码登录 + Cookie 持久化。
|
||||
- 🖥️ **发布管理预览** - 支持签名 URL / 相对路径作品预览,确保可直接播放。
|
||||
- 📸 **发布结果可视化** - 抖音/微信视频号发布成功后返回截图,发布页结果卡片可直接查看。
|
||||
- 🛡️ **发布防误操作** - 发布进行中自动提示“请勿刷新或关闭网页”,并拦截刷新/关页二次确认。
|
||||
- 🔐 **认证与隔离** - 基于 Supabase 的用户隔离,支持手机号注册/登录、密码管理。
|
||||
- 🛡️ **服务守护** - 内置 Watchdog 看门狗机制,自动监控并重启僵死服务,确保 7x24h 稳定运行。
|
||||
- 🚀 **性能优化** - 视频预压缩、模型常驻服务(近实时加载)、双 GPU 流水线并发。
|
||||
### 平台化功能
|
||||
- 📱 **全自动发布** - 支持抖音/微信视频号/B站/小红书立即发布;扫码登录 + Cookie 持久化。
|
||||
- 🖥️ **发布管理预览** - 支持签名 URL / 相对路径作品预览,确保可直接播放。
|
||||
- 📸 **发布结果可视化** - 抖音/微信视频号发布成功后返回截图,发布页结果卡片可直接查看。
|
||||
- 🛡️ **发布防误操作** - 发布进行中自动提示“请勿刷新或关闭网页”,并拦截刷新/关页二次确认。
|
||||
- 💳 **付费会员** - 支付宝电脑网站支付自动开通会员,到期自动停用并引导续费,管理员手动激活并存。
|
||||
- 🔐 **认证与隔离** - 基于 Supabase 的用户隔离,支持手机号注册/登录、密码管理。
|
||||
- 🛡️ **服务守护** - 内置 Watchdog 看门狗机制,自动监控并重启僵死服务,确保 7x24h 稳定运行。
|
||||
- 🚀 **性能优化** - 视频预压缩、模型常驻服务(近实时加载)、双 GPU 流水线并发。
|
||||
|
||||
---
|
||||
|
||||
@@ -40,11 +45,11 @@
|
||||
|
||||
| 领域 | 核心技术 | 说明 |
|
||||
|------|----------|------|
|
||||
| **前端** | Next.js 16 | TypeScript, TailwindCSS, SWR |
|
||||
| **前端** | Next.js 16 | TypeScript, TailwindCSS, SWR, wavesurfer.js |
|
||||
| **后端** | FastAPI | Python 3.10, AsyncIO, PM2 |
|
||||
| **数据库** | Supabase | PostgreSQL, Storage (本地/S3), Auth |
|
||||
| **唇形同步** | LatentSync 1.6 | PyTorch 2.5, Diffusers, DeepCache |
|
||||
| **声音克隆** | Qwen3-TTS | 1.7B 参数量,Flash Attention 2 加速 |
|
||||
| **声音克隆** | CosyVoice 3.0 | 0.5B 参数量,9 语言 + 18 方言 |
|
||||
| **自动化** | Playwright | 社交媒体无头浏览器自动化 |
|
||||
| **部署** | Docker & PM2 | 混合部署架构 |
|
||||
|
||||
@@ -56,13 +61,14 @@
|
||||
|
||||
### 部署运维
|
||||
- **[部署手册 (DEPLOY_MANUAL.md)](Docs/DEPLOY_MANUAL.md)** - 👈 **部署请看这里**!包含完整的环境搭建步骤。
|
||||
- [参考音频服务部署 (QWEN3_TTS_DEPLOY.md)](Docs/QWEN3_TTS_DEPLOY.md) - 声音克隆模型部署指南。
|
||||
- [参考音频服务部署 (COSYVOICE3_DEPLOY.md)](Docs/COSYVOICE3_DEPLOY.md) - 声音克隆模型部署指南。
|
||||
- [LatentSync 部署指南](models/LatentSync/DEPLOY.md) - 唇形同步模型独立部署。
|
||||
- [用户认证部署 (AUTH_DEPLOY.md)](Docs/AUTH_DEPLOY.md) - Supabase 与 Auth 系统配置。
|
||||
- [Supabase 部署指南 (SUPABASE_DEPLOY.md)](Docs/SUPABASE_DEPLOY.md) - Supabase 与认证系统配置。
|
||||
- [支付宝部署指南 (ALIPAY_DEPLOY.md)](Docs/ALIPAY_DEPLOY.md) - 支付宝付费开通会员配置。
|
||||
|
||||
### 开发文档
|
||||
- [后端开发指南](Docs/BACKEND_README.md) - 接口规范与开发流程。
|
||||
- [后端开发规范](Docs/BACKEND_DEV.md) - 分层约定与开发习惯。
|
||||
### 开发文档
|
||||
- [后端开发指南](Docs/BACKEND_README.md) - 接口规范与开发流程。
|
||||
- [后端开发规范](Docs/BACKEND_DEV.md) - 分层约定与开发习惯。
|
||||
- [前端开发指南](Docs/FRONTEND_DEV.md) - UI 组件与页面规范。
|
||||
- [开发日志 (DevLogs)](Docs/DevLogs/) - 每日开发进度与技术决策记录。
|
||||
|
||||
@@ -74,12 +80,14 @@
|
||||
ViGent2/
|
||||
├── backend/ # FastAPI 后端服务
|
||||
│ ├── app/ # 核心业务逻辑
|
||||
│ ├── scripts/ # 运维脚本 (Watchdog 等)
|
||||
│ └── tests/ # 测试用例
|
||||
│ ├── assets/ # 字体 / 样式 / BGM
|
||||
│ ├── user_data/ # 用户隔离数据 (Cookie 等)
|
||||
│ └── scripts/ # 运维脚本 (Watchdog 等)
|
||||
├── frontend/ # Next.js 前端应用
|
||||
├── remotion/ # Remotion 视频渲染 (标题/字幕合成)
|
||||
├── models/ # AI 模型仓库
|
||||
│ ├── LatentSync/ # 唇形同步服务
|
||||
│ └── Qwen3-TTS/ # 声音克隆服务
|
||||
│ └── CosyVoice/ # 声音克隆服务
|
||||
└── Docs/ # 项目文档
|
||||
```
|
||||
|
||||
@@ -94,7 +102,7 @@ ViGent2/
|
||||
| **Web UI** | 3002 | 用户访问入口 (Next.js) |
|
||||
| **Backend API** | 8006 | 核心业务接口 (FastAPI) |
|
||||
| **LatentSync** | 8007 | 唇形同步推理服务 |
|
||||
| **Qwen3-TTS** | 8009 | 声音克隆推理服务 |
|
||||
| **CosyVoice 3.0** | 8010 | 声音克隆推理服务 |
|
||||
| **Supabase** | 8008 | 数据库与认证网关 |
|
||||
|
||||
---
|
||||
|
||||
@@ -15,7 +15,6 @@ DEFAULT_TTS_VOICE=zh-CN-YunxiNeural
|
||||
# GPU 选择 (0=第一块GPU, 1=第二块GPU)
|
||||
LATENTSYNC_GPU_ID=1
|
||||
|
||||
# 使用本地模式 (true) 或远程 API (false)
|
||||
# 使用本地模式 (true) 或远程 API (false)
|
||||
LATENTSYNC_LOCAL=true
|
||||
|
||||
@@ -67,6 +66,15 @@ ADMIN_PASSWORD=lam1988324
|
||||
GLM_API_KEY=32440cd3f3444d1f8fe721304acea8bd.YXNLrk7eIJMKcg4t
|
||||
GLM_MODEL=glm-4.7-flash
|
||||
|
||||
# =============== Supabase Storage 本地路径 ===============
|
||||
# 确保存储卷映射正确,避免硬编码路径
|
||||
SUPABASE_STORAGE_LOCAL_PATH=/home/rongye/ProgramFiles/Supabase/volumes/storage/stub/stub
|
||||
|
||||
# =============== 抖音视频下载 Cookie ===============
|
||||
# 用于从抖音 URL 提取视频文案功能,会过期需要定期更新
|
||||
DOUYIN_COOKIE=douyin.com; device_web_cpu_core=10; device_web_memory_size=8; __ac_nonce=06760391f00b9b51264ae; __ac_signature=_02B4Z6wo00f019a5ceAAAIDAhEZR-X3jjWfWmXVAAJLXd4; ttwid=1%7C7MTKBSMsP4eOv9h5NAh8p0E-NYIud09ftNmB0mjLpWc%7C1734359327%7C8794abeabbd47447e1f56e5abc726be089f2a0344d6343b5f75f23e7b0f0028f; UIFID_TEMP=0de8750d2b188f4235dbfd208e44abbb976428f0720eb983255afefa45d39c0c6532e1d4768dd8587bf919f866ff1396912bcb2af71efee56a14a2a9f37b74010d0a0413795262f6d4afe02a032ac7ab; s_v_web_id=verify_m4r4ribr_c7krmY1z_WoeI_43po_ATpO_I4o8U1bex2D7; hevc_supported=true; home_can_add_dy_2_desktop=%220%22; dy_swidth=2560; dy_sheight=1440; stream_recommend_feed_params=%22%7B%5C%22cookie_enabled%5C%22%3Atrue%2C%5C%22screen_width%5C%22%3A2560%2C%5C%22screen_height%5C%22%3A1440%2C%5C%22browser_online%5C%22%3Atrue%2C%5C%22cpu_core_num%5C%22%3A10%2C%5C%22device_memory%5C%22%3A8%2C%5C%22downlink%5C%22%3A10%2C%5C%22effective_type%5C%22%3A%5C%224g%5C%22%2C%5C%22round_trip_time%5C%22%3A50%7D%22; strategyABtestKey=%221734359328.577%22; csrf_session_id=2f53aed9aa6974e83aa9a1014180c3a4; fpk1=U2FsdGVkX1/IpBh0qdmlKAVhGyYHgur4/VtL9AReZoeSxadXn4juKvsakahRGqjxOPytHWspYoBogyhS/V6QSw==; fpk2=0845b309c7b9b957afd9ecf775a4c21f; passport_csrf_token=d80e0c5b2fa2328219856be5ba7e671e; passport_csrf_token_default=d80e0c5b2fa2328219856be5ba7e671e; odin_tt=3c891091d2eb0f4718c1d5645bc4a0017032d4d5aa989decb729e9da2ad570918cbe5e9133dc6b145fa8c758de98efe32ff1f81aa0d611e838cc73ab08ef7d3f6adf66ab4d10e8372ddd628f94f16b8e; volume_info=%7B%22isUserMute%22%3Afalse%2C%22isMute%22%3Afalse%2C%22volume%22%3A0.5%7D; bd_ticket_guard_client_web_domain=2; FORCE_LOGIN=%7B%22videoConsumedRemainSeconds%22%3A180%7D; UIFID=0de8750d2b188f4235dbfd208e44abbb976428f0720eb983255afefa45d39c0c6532e1d4768dd8587bf919f866ff139655a3c2b735923234f371c699560c657923fd3d6c5b63ab7bb9b83423b6cb4787e2ce66a7fbc4ecb24c8570f520fe6de068bbb95115023c0c6c1b6ee31b49fb7e3996fb8349f43a3fd8b7a61cd9e18e8fe65eb6a7c13de4c0960d84e344b644725db3eb2fa6b7caf821de1b50527979f2; is_dash_user=1; biz_trace_id=b57a241f; bd_ticket_guard_client_data=eyJiZC10aWNrZXQtZ3VhcmQtdmVyc2lvbiI6MiwiYmQtdGlja2V0LWd1YXJkLWl0ZXJhdGlvbi12ZXJzaW9uIjoxLCJiZC10aWNrZXQtZ3VhcmQtcmVlLXB1YmxpYy1rZXkiOiJCTEo2R0lDalVoWW1XcHpGOFdrN0Vrc0dXcCtaUzNKY1g4NGNGY2k0TTl1TEowNjdUb21mbFU5aDdvWVBGamhNRWNRQWtKdnN1MnM3RmpTWnlJQXpHMjA9IiwiYmQtdGlja2V0LWd1YXJkLXdlYi12ZXJzaW9uIjoyfQ%3D%3D; download_guide=%221%2F20241216%2F0%22; sdk_source_info=7e276470716a68645a606960273f276364697660272927676c715a6d6069756077273f276364697660272927666d776a68605a607d71606b766c6a6b5a7666776c7571273f275e58272927666a6b766a69605a696c6061273f27636469766027292762696a6764695a7364776c6467696076273f275e5827292771273f273d33323131333c3036313632342778; bit_env=RiOY4jzzpxZoVCl6zdVSVhVRjdwHRTxqcqWdqMBZLPGjMdB4Tax1kAELHNTVAAh72KuhumewE4Lq6f0-VJ2UpJrkrhSxoPw9LUb3zQrq1OSwbeSPHkRlRgRQvO89sItdGUyq1oFr0XyRCnMYG87KSeWyc4x0czGR0o50hTDoDLG5rJVoRcdQOLvjiAegsqyytKF59sPX_QM9qffK2SqYsg0hCggURc_AI6kguDDE5DvG0bnyz1utw4z1eEnIoLrkGDqzqBZj4dOAr0BVU6ofbsS-pOQ2u2PM1dLP9FlBVBlVaqYVgHJeSLsR5k76BRTddUjTb4zEilVIEwAMJWGN4I1BxVt6fC9B5tBQpuT0lj3n3eKXCKXZsd8FrEs5_pbfDsxV-e_WMiXI2ff4qxiTC0U73sfo9OpicKICtZjdq8qsHxJuu6wVR36zvXeL2Wch5C6MzprNvkivv0l8nbh2mSgy1nabZr3dmU6NcR-Bg3Q3xTWUlR9aAUmpopC-cNuXjgLpT-Lw1AYGilSUnCvosth1Gfypq-b0MpgmdSDgTrQ%3D; gulu_source_res=eyJwX2luIjoiMDhjOGQ3ZTJiODQyNjZkZWI5Y2VkMGJiODNlNmY1ZWY0ZjMyNTE2ZmYyZjAzNDMzZjI0OWU1Y2Q1NTczNTk5NyJ9; passport_auth_mix_state=hp9bc3dgb1tm5wd8p82zawus27g0e3ue; IsDouyinActive=false
|
||||
|
||||
# =============== 支付宝配置 ===============
|
||||
ALIPAY_APP_ID=2021006132600283
|
||||
ALIPAY_PRIVATE_KEY_PATH=/home/rongye/ProgramFiles/ViGent2/backend/keys/app_private_key.pem
|
||||
ALIPAY_PUBLIC_KEY_PATH=/home/rongye/ProgramFiles/ViGent2/backend/keys/alipay_public_key.pem
|
||||
ALIPAY_NOTIFY_URL=https://vigent.hbyrkj.top/api/payment/notify
|
||||
ALIPAY_RETURN_URL=https://vigent.hbyrkj.top/pay
|
||||
|
||||
@@ -1,10 +0,0 @@
|
||||
from . import admin
|
||||
from . import ai
|
||||
from . import assets
|
||||
from . import auth
|
||||
from . import login_helper
|
||||
from . import materials
|
||||
from . import publish
|
||||
from . import ref_audios
|
||||
from . import tools
|
||||
from . import videos
|
||||
@@ -1 +0,0 @@
|
||||
from app.modules.admin.router import router
|
||||
@@ -1 +0,0 @@
|
||||
from app.modules.ai.router import router
|
||||
@@ -1 +0,0 @@
|
||||
from app.modules.assets.router import router
|
||||
@@ -1 +0,0 @@
|
||||
from app.modules.auth.router import router
|
||||
@@ -1 +0,0 @@
|
||||
from app.modules.login_helper.router import router
|
||||
@@ -1 +0,0 @@
|
||||
from app.modules.materials.router import router
|
||||
@@ -1 +0,0 @@
|
||||
from app.modules.publish.router import router
|
||||
@@ -1 +0,0 @@
|
||||
from app.modules.ref_audios.router import router
|
||||
@@ -1 +0,0 @@
|
||||
from app.modules.tools.router import router
|
||||
@@ -1 +0,0 @@
|
||||
from app.modules.videos.router import router
|
||||
@@ -30,7 +30,7 @@ class Settings(BaseSettings):
|
||||
|
||||
# Douyin Playwright 配置
|
||||
DOUYIN_HEADLESS_MODE: str = "headless-new"
|
||||
DOUYIN_USER_AGENT: str = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
|
||||
DOUYIN_USER_AGENT: str = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/144.0.0.0 Safari/537.36"
|
||||
DOUYIN_LOCALE: str = "zh-CN"
|
||||
DOUYIN_TIMEZONE_ID: str = "Asia/Shanghai"
|
||||
DOUYIN_CHROME_PATH: str = "/usr/bin/google-chrome"
|
||||
@@ -76,12 +76,18 @@ class Settings(BaseSettings):
|
||||
GLM_API_KEY: str = ""
|
||||
GLM_MODEL: str = "glm-4.7-flash"
|
||||
|
||||
# 支付宝配置
|
||||
ALIPAY_APP_ID: str = ""
|
||||
ALIPAY_PRIVATE_KEY_PATH: str = "" # 应用私钥 PEM 文件路径
|
||||
ALIPAY_PUBLIC_KEY_PATH: str = "" # 支付宝公钥 PEM 文件路径
|
||||
ALIPAY_NOTIFY_URL: str = "" # 异步通知回调地址(公网可达)
|
||||
ALIPAY_RETURN_URL: str = "" # 支付成功后同步跳转地址
|
||||
ALIPAY_SANDBOX: bool = False # 是否使用沙箱环境
|
||||
PAYMENT_AMOUNT: float = 999.00 # 会员价格(元)
|
||||
PAYMENT_EXPIRE_DAYS: int = 365 # 会员有效天数
|
||||
|
||||
# CORS 配置 (逗号分隔的域名列表,* 表示允许所有)
|
||||
CORS_ORIGINS: str = "*"
|
||||
|
||||
# 抖音 Cookie (用于视频下载功能,会过期需要定期更新)
|
||||
DOUYIN_COOKIE: str = ""
|
||||
|
||||
@property
|
||||
def LATENTSYNC_DIR(self) -> Path:
|
||||
"""LatentSync 目录路径 (动态计算)"""
|
||||
|
||||
@@ -1,11 +1,11 @@
|
||||
"""
|
||||
依赖注入模块:认证和用户获取
|
||||
"""
|
||||
from typing import Optional, Any, Dict, cast
|
||||
from typing import Optional, Any, Dict, cast
|
||||
from fastapi import Request, HTTPException, Depends, status
|
||||
from app.core.security import decode_access_token, TokenData
|
||||
from app.repositories.sessions import get_session
|
||||
from app.repositories.users import get_user_by_id
|
||||
from app.core.security import decode_access_token
|
||||
from app.repositories.sessions import get_session, delete_sessions
|
||||
from app.repositories.users import get_user_by_id, deactivate_user_if_expired
|
||||
from loguru import logger
|
||||
|
||||
|
||||
@@ -14,9 +14,9 @@ async def get_token_from_cookie(request: Request) -> Optional[str]:
|
||||
return request.cookies.get("access_token")
|
||||
|
||||
|
||||
async def get_current_user_optional(
|
||||
request: Request
|
||||
) -> Optional[Dict[str, Any]]:
|
||||
async def get_current_user_optional(
|
||||
request: Request
|
||||
) -> Optional[Dict[str, Any]]:
|
||||
"""
|
||||
获取当前用户 (可选,未登录返回 None)
|
||||
"""
|
||||
@@ -29,22 +29,30 @@ async def get_current_user_optional(
|
||||
return None
|
||||
|
||||
# 验证 session_token 是否有效 (单设备登录检查)
|
||||
try:
|
||||
session = get_session(token_data.user_id, token_data.session_token)
|
||||
if not session:
|
||||
logger.warning(f"Session token 无效: user_id={token_data.user_id}")
|
||||
return None
|
||||
|
||||
user = get_user_by_id(token_data.user_id)
|
||||
return cast(Optional[Dict[str, Any]], user)
|
||||
except Exception as e:
|
||||
logger.error(f"获取用户信息失败: {e}")
|
||||
return None
|
||||
try:
|
||||
session = get_session(token_data.user_id, token_data.session_token)
|
||||
if not session:
|
||||
logger.warning(f"Session token 无效: user_id={token_data.user_id}")
|
||||
return None
|
||||
|
||||
user = cast(Optional[Dict[str, Any]], get_user_by_id(token_data.user_id))
|
||||
if user and deactivate_user_if_expired(user):
|
||||
delete_sessions(token_data.user_id)
|
||||
return None
|
||||
|
||||
if user and not user.get("is_active"):
|
||||
delete_sessions(token_data.user_id)
|
||||
return None
|
||||
|
||||
return user
|
||||
except Exception as e:
|
||||
logger.error(f"获取用户信息失败: {e}")
|
||||
return None
|
||||
|
||||
|
||||
async def get_current_user(
|
||||
request: Request
|
||||
) -> Dict[str, Any]:
|
||||
async def get_current_user(
|
||||
request: Request
|
||||
) -> Dict[str, Any]:
|
||||
"""
|
||||
获取当前用户 (必须登录)
|
||||
|
||||
@@ -66,40 +74,45 @@ async def get_current_user(
|
||||
detail="Token 无效或已过期"
|
||||
)
|
||||
|
||||
try:
|
||||
session = get_session(token_data.user_id, token_data.session_token)
|
||||
if not session:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_403_FORBIDDEN,
|
||||
detail="会话已失效,请重新登录(可能已在其他设备登录)"
|
||||
)
|
||||
|
||||
user = get_user_by_id(token_data.user_id)
|
||||
if not user:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail="用户不存在"
|
||||
)
|
||||
user = cast(Dict[str, Any], user)
|
||||
|
||||
if user.get("expires_at"):
|
||||
from datetime import datetime, timezone
|
||||
expires_at = datetime.fromisoformat(user["expires_at"].replace("Z", "+00:00"))
|
||||
if datetime.now(timezone.utc) > expires_at:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_403_FORBIDDEN,
|
||||
detail="授权已过期,请联系管理员续期"
|
||||
)
|
||||
|
||||
return user
|
||||
except HTTPException:
|
||||
raise
|
||||
except Exception as e:
|
||||
logger.error(f"获取用户信息失败: {e}")
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
||||
detail="服务器错误"
|
||||
)
|
||||
try:
|
||||
session = get_session(token_data.user_id, token_data.session_token)
|
||||
if not session:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_403_FORBIDDEN,
|
||||
detail="会话已失效,请重新登录(可能已在其他设备登录)"
|
||||
)
|
||||
|
||||
user = get_user_by_id(token_data.user_id)
|
||||
if not user:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail="用户不存在"
|
||||
)
|
||||
user = cast(Dict[str, Any], user)
|
||||
|
||||
if deactivate_user_if_expired(user):
|
||||
delete_sessions(token_data.user_id)
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_403_FORBIDDEN,
|
||||
detail="会员已到期,请续费"
|
||||
)
|
||||
|
||||
if not user.get("is_active"):
|
||||
delete_sessions(token_data.user_id)
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_403_FORBIDDEN,
|
||||
detail="账号已停用"
|
||||
)
|
||||
|
||||
return user
|
||||
except HTTPException:
|
||||
raise
|
||||
except Exception as e:
|
||||
logger.error(f"获取用户信息失败: {e}")
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
||||
detail="服务器错误"
|
||||
)
|
||||
|
||||
|
||||
async def get_current_admin(
|
||||
|
||||
@@ -110,3 +110,28 @@ def set_auth_cookie(response: Response, token: str) -> None:
|
||||
def clear_auth_cookie(response: Response) -> None:
|
||||
"""清除认证 Cookie"""
|
||||
response.delete_cookie(key="access_token")
|
||||
|
||||
|
||||
def create_payment_token(user_id: str) -> str:
|
||||
"""生成付费专用短期 JWT token(30 分钟有效)"""
|
||||
payload = {
|
||||
"sub": user_id,
|
||||
"purpose": "payment",
|
||||
"exp": datetime.now(timezone.utc) + timedelta(minutes=30),
|
||||
}
|
||||
return jwt.encode(payload, settings.JWT_SECRET_KEY, algorithm=settings.JWT_ALGORITHM)
|
||||
|
||||
|
||||
def decode_payment_token(token: str) -> str | None:
|
||||
"""解析 payment_token,返回 user_id(仅 purpose=payment 有效)"""
|
||||
try:
|
||||
data = jwt.decode(
|
||||
token,
|
||||
settings.JWT_SECRET_KEY,
|
||||
algorithms=[settings.JWT_ALGORITHM],
|
||||
)
|
||||
if data.get("purpose") != "payment":
|
||||
return None
|
||||
return data.get("sub")
|
||||
except JWTError:
|
||||
return None
|
||||
|
||||
@@ -4,7 +4,19 @@ from fastapi.middleware.cors import CORSMiddleware
|
||||
from fastapi.responses import JSONResponse
|
||||
from app.core import config
|
||||
from app.core.response import error_response
|
||||
from app.api import materials, videos, publish, login_helper, auth, admin, ref_audios, ai, tools, assets
|
||||
# 直接从 modules 导入路由,消除 api 转发层
|
||||
from app.modules.materials.router import router as materials_router
|
||||
from app.modules.videos.router import router as videos_router
|
||||
from app.modules.publish.router import router as publish_router
|
||||
from app.modules.login_helper.router import router as login_helper_router
|
||||
from app.modules.auth.router import router as auth_router
|
||||
from app.modules.admin.router import router as admin_router
|
||||
from app.modules.ref_audios.router import router as ref_audios_router
|
||||
from app.modules.ai.router import router as ai_router
|
||||
from app.modules.tools.router import router as tools_router
|
||||
from app.modules.assets.router import router as assets_router
|
||||
from app.modules.generated_audios.router import router as generated_audios_router
|
||||
from app.modules.payment.router import router as payment_router
|
||||
from loguru import logger
|
||||
import os
|
||||
|
||||
@@ -104,16 +116,18 @@ app.mount("/uploads", StaticFiles(directory=str(settings.UPLOAD_DIR)), name="upl
|
||||
app.mount("/assets", StaticFiles(directory=str(settings.ASSETS_DIR)), name="assets")
|
||||
|
||||
# 注册路由
|
||||
app.include_router(materials.router, prefix="/api/materials", tags=["Materials"])
|
||||
app.include_router(videos.router, prefix="/api/videos", tags=["Videos"])
|
||||
app.include_router(publish.router, prefix="/api/publish", tags=["Publish"])
|
||||
app.include_router(login_helper.router, prefix="/api", tags=["LoginHelper"])
|
||||
app.include_router(auth.router) # /api/auth
|
||||
app.include_router(admin.router) # /api/admin
|
||||
app.include_router(ref_audios.router, prefix="/api/ref-audios", tags=["RefAudios"])
|
||||
app.include_router(ai.router) # /api/ai
|
||||
app.include_router(tools.router, prefix="/api/tools", tags=["Tools"])
|
||||
app.include_router(assets.router, prefix="/api/assets", tags=["Assets"])
|
||||
app.include_router(materials_router, prefix="/api/materials", tags=["Materials"])
|
||||
app.include_router(videos_router, prefix="/api/videos", tags=["Videos"])
|
||||
app.include_router(publish_router, prefix="/api/publish", tags=["Publish"])
|
||||
app.include_router(login_helper_router, prefix="/api", tags=["LoginHelper"])
|
||||
app.include_router(auth_router) # /api/auth
|
||||
app.include_router(admin_router) # /api/admin
|
||||
app.include_router(ref_audios_router, prefix="/api/ref-audios", tags=["RefAudios"])
|
||||
app.include_router(ai_router) # /api/ai
|
||||
app.include_router(tools_router, prefix="/api/tools", tags=["Tools"])
|
||||
app.include_router(assets_router, prefix="/api/assets", tags=["Assets"])
|
||||
app.include_router(generated_audios_router, prefix="/api/generated-audios", tags=["GeneratedAudios"])
|
||||
app.include_router(payment_router) # /api/payment
|
||||
|
||||
|
||||
@app.on_event("startup")
|
||||
|
||||
@@ -21,9 +21,37 @@ class GenerateMetaRequest(BaseModel):
|
||||
class GenerateMetaResponse(BaseModel):
|
||||
"""生成标题标签响应"""
|
||||
title: str
|
||||
secondary_title: str = ""
|
||||
tags: list[str]
|
||||
|
||||
|
||||
class TranslateRequest(BaseModel):
|
||||
"""翻译请求"""
|
||||
text: str
|
||||
target_lang: str
|
||||
|
||||
|
||||
@router.post("/translate")
|
||||
async def translate_text(req: TranslateRequest):
|
||||
"""
|
||||
AI 翻译文案
|
||||
|
||||
将文案翻译为指定目标语言
|
||||
"""
|
||||
if not req.text or not req.text.strip():
|
||||
raise HTTPException(status_code=400, detail="文案不能为空")
|
||||
if not req.target_lang or not req.target_lang.strip():
|
||||
raise HTTPException(status_code=400, detail="目标语言不能为空")
|
||||
|
||||
try:
|
||||
logger.info(f"Translating text to {req.target_lang}: {req.text[:50]}...")
|
||||
translated = await glm_service.translate_text(req.text.strip(), req.target_lang.strip())
|
||||
return success_response({"translated_text": translated})
|
||||
except Exception as e:
|
||||
logger.error(f"Translate failed: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.post("/generate-meta")
|
||||
async def generate_meta(req: GenerateMetaRequest):
|
||||
"""
|
||||
@@ -39,6 +67,7 @@ async def generate_meta(req: GenerateMetaRequest):
|
||||
result = await glm_service.generate_title_tags(req.text)
|
||||
return success_response(GenerateMetaResponse(
|
||||
title=result.get("title", ""),
|
||||
secondary_title=result.get("secondary_title", ""),
|
||||
tags=result.get("tags", [])
|
||||
).model_dump())
|
||||
except Exception as e:
|
||||
|
||||
@@ -1,22 +1,32 @@
|
||||
"""
|
||||
认证 API:注册、登录、登出、修改密码
|
||||
"""
|
||||
from fastapi import APIRouter, HTTPException, Response, status, Request
|
||||
from fastapi import APIRouter, HTTPException, Response, status, Request, Depends
|
||||
from fastapi.responses import JSONResponse
|
||||
from pydantic import BaseModel, field_validator
|
||||
from app.core.security import (
|
||||
get_password_hash,
|
||||
verify_password,
|
||||
create_access_token,
|
||||
generate_session_token,
|
||||
set_auth_cookie,
|
||||
clear_auth_cookie,
|
||||
decode_access_token
|
||||
)
|
||||
from app.repositories.sessions import create_session, delete_sessions
|
||||
from app.repositories.users import create_user, get_user_by_id, get_user_by_phone, user_exists_by_phone, update_user
|
||||
from app.core.response import success_response
|
||||
from app.core.security import (
|
||||
get_password_hash,
|
||||
verify_password,
|
||||
create_access_token,
|
||||
generate_session_token,
|
||||
set_auth_cookie,
|
||||
clear_auth_cookie,
|
||||
decode_access_token,
|
||||
create_payment_token,
|
||||
)
|
||||
from app.repositories.sessions import create_session, delete_sessions
|
||||
from app.repositories.users import (
|
||||
create_user,
|
||||
get_user_by_id,
|
||||
get_user_by_phone,
|
||||
user_exists_by_phone,
|
||||
update_user,
|
||||
deactivate_user_if_expired,
|
||||
)
|
||||
from app.core.deps import get_current_user
|
||||
from app.core.response import success_response
|
||||
from loguru import logger
|
||||
from typing import Optional, Any, cast
|
||||
from typing import Optional, Any, cast
|
||||
import re
|
||||
|
||||
router = APIRouter(prefix="/api/auth", tags=["认证"])
|
||||
@@ -76,26 +86,26 @@ async def register(request: RegisterRequest):
|
||||
注册后状态为 pending,需要管理员激活
|
||||
"""
|
||||
try:
|
||||
if user_exists_by_phone(request.phone):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail="该手机号已注册"
|
||||
)
|
||||
if user_exists_by_phone(request.phone):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail="该手机号已注册"
|
||||
)
|
||||
|
||||
# 创建用户
|
||||
password_hash = get_password_hash(request.password)
|
||||
|
||||
create_user({
|
||||
"phone": request.phone,
|
||||
"password_hash": password_hash,
|
||||
"username": request.username or f"用户{request.phone[-4:]}",
|
||||
"role": "pending",
|
||||
"is_active": False
|
||||
})
|
||||
create_user({
|
||||
"phone": request.phone,
|
||||
"password_hash": password_hash,
|
||||
"username": request.username or f"用户{request.phone[-4:]}",
|
||||
"role": "pending",
|
||||
"is_active": False
|
||||
})
|
||||
|
||||
logger.info(f"新用户注册: {request.phone}")
|
||||
|
||||
return success_response(message="注册成功,请等待管理员审核激活")
|
||||
return success_response(message="注册成功,请等待管理员审核激活")
|
||||
except HTTPException:
|
||||
raise
|
||||
except Exception as e:
|
||||
@@ -116,12 +126,12 @@ async def login(request: LoginRequest, response: Response):
|
||||
- 实现"后踢前"单设备登录
|
||||
"""
|
||||
try:
|
||||
user = cast(dict[str, Any], get_user_by_phone(request.phone) or {})
|
||||
if not user:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail="手机号或密码错误"
|
||||
)
|
||||
user = cast(dict[str, Any], get_user_by_phone(request.phone) or {})
|
||||
if not user:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail="手机号或密码错误"
|
||||
)
|
||||
|
||||
# 验证密码
|
||||
if not verify_password(request.password, user["password_hash"]):
|
||||
@@ -130,29 +140,33 @@ async def login(request: LoginRequest, response: Response):
|
||||
detail="手机号或密码错误"
|
||||
)
|
||||
|
||||
# 检查是否激活
|
||||
if not user["is_active"]:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_403_FORBIDDEN,
|
||||
detail="账号未激活,请等待管理员审核"
|
||||
# 过期自动停用(注意:只更新 DB,不修改内存中的 user 字典)
|
||||
expired = deactivate_user_if_expired(user)
|
||||
if expired:
|
||||
delete_sessions(user["id"])
|
||||
|
||||
# 过期 或 未激活(新注册)→ 返回付费指引
|
||||
if expired or not user["is_active"]:
|
||||
payment_token = create_payment_token(user["id"])
|
||||
return JSONResponse(
|
||||
status_code=403,
|
||||
content={
|
||||
"success": False,
|
||||
"message": "请付费开通会员",
|
||||
"code": 403,
|
||||
"data": {
|
||||
"reason": "PAYMENT_REQUIRED",
|
||||
"payment_token": payment_token,
|
||||
}
|
||||
}
|
||||
)
|
||||
|
||||
# 检查授权是否过期
|
||||
if user.get("expires_at"):
|
||||
from datetime import datetime, timezone
|
||||
expires_at = datetime.fromisoformat(user["expires_at"].replace("Z", "+00:00"))
|
||||
if datetime.now(timezone.utc) > expires_at:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_403_FORBIDDEN,
|
||||
detail="授权已过期,请联系管理员续期"
|
||||
)
|
||||
|
||||
# 生成新的 session_token (后踢前)
|
||||
session_token = generate_session_token()
|
||||
|
||||
# 删除旧 session,插入新 session
|
||||
delete_sessions(user["id"])
|
||||
create_session(user["id"], session_token, None)
|
||||
delete_sessions(user["id"])
|
||||
create_session(user["id"], session_token, None)
|
||||
|
||||
# 生成 JWT Token
|
||||
token = create_access_token(user["id"], session_token)
|
||||
@@ -162,19 +176,19 @@ async def login(request: LoginRequest, response: Response):
|
||||
|
||||
logger.info(f"用户登录: {request.phone}")
|
||||
|
||||
return success_response(
|
||||
data={
|
||||
"user": UserResponse(
|
||||
id=user["id"],
|
||||
phone=user["phone"],
|
||||
username=user.get("username"),
|
||||
role=user["role"],
|
||||
is_active=user["is_active"],
|
||||
expires_at=user.get("expires_at")
|
||||
).model_dump()
|
||||
},
|
||||
message="登录成功",
|
||||
)
|
||||
return success_response(
|
||||
data={
|
||||
"user": UserResponse(
|
||||
id=user["id"],
|
||||
phone=user["phone"],
|
||||
username=user.get("username"),
|
||||
role=user["role"],
|
||||
is_active=user["is_active"],
|
||||
expires_at=user.get("expires_at")
|
||||
).model_dump()
|
||||
},
|
||||
message="登录成功",
|
||||
)
|
||||
except HTTPException:
|
||||
raise
|
||||
except Exception as e:
|
||||
@@ -186,10 +200,10 @@ async def login(request: LoginRequest, response: Response):
|
||||
|
||||
|
||||
@router.post("/logout")
|
||||
async def logout(response: Response):
|
||||
"""用户登出"""
|
||||
clear_auth_cookie(response)
|
||||
return success_response(message="已登出")
|
||||
async def logout(response: Response):
|
||||
"""用户登出"""
|
||||
clear_auth_cookie(response)
|
||||
return success_response(message="已登出")
|
||||
|
||||
|
||||
@router.post("/change-password")
|
||||
@@ -217,12 +231,12 @@ async def change_password(request: ChangePasswordRequest, req: Request, response
|
||||
)
|
||||
|
||||
try:
|
||||
user = cast(dict[str, Any], get_user_by_id(token_data.user_id) or {})
|
||||
if not user:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail="用户不存在"
|
||||
)
|
||||
user = cast(dict[str, Any], get_user_by_id(token_data.user_id) or {})
|
||||
if not user:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail="用户不存在"
|
||||
)
|
||||
|
||||
# 验证当前密码
|
||||
if not verify_password(request.old_password, user["password_hash"]):
|
||||
@@ -233,13 +247,13 @@ async def change_password(request: ChangePasswordRequest, req: Request, response
|
||||
|
||||
# 更新密码
|
||||
new_password_hash = get_password_hash(request.new_password)
|
||||
update_user(user["id"], {"password_hash": new_password_hash})
|
||||
update_user(user["id"], {"password_hash": new_password_hash})
|
||||
|
||||
# 生成新的 session token,使旧 token 失效
|
||||
new_session_token = generate_session_token()
|
||||
|
||||
delete_sessions(user["id"])
|
||||
create_session(user["id"], new_session_token, None)
|
||||
delete_sessions(user["id"])
|
||||
create_session(user["id"], new_session_token, None)
|
||||
|
||||
# 生成新的 JWT Token
|
||||
new_token = create_access_token(user["id"], new_session_token)
|
||||
@@ -247,7 +261,7 @@ async def change_password(request: ChangePasswordRequest, req: Request, response
|
||||
|
||||
logger.info(f"用户修改密码: {user['phone']}")
|
||||
|
||||
return success_response(message="密码修改成功")
|
||||
return success_response(message="密码修改成功")
|
||||
except HTTPException:
|
||||
raise
|
||||
except Exception as e:
|
||||
@@ -259,35 +273,13 @@ async def change_password(request: ChangePasswordRequest, req: Request, response
|
||||
|
||||
|
||||
@router.get("/me")
|
||||
async def get_me(request: Request):
|
||||
async def get_me(user: dict = Depends(get_current_user)):
|
||||
"""获取当前用户信息"""
|
||||
# 从 Cookie 获取用户
|
||||
token = request.cookies.get("access_token")
|
||||
if not token:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail="未登录"
|
||||
)
|
||||
|
||||
token_data = decode_access_token(token)
|
||||
if not token_data:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail="Token 无效"
|
||||
)
|
||||
|
||||
user = cast(dict[str, Any], get_user_by_id(token_data.user_id) or {})
|
||||
if not user:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail="用户不存在"
|
||||
)
|
||||
|
||||
return success_response(UserResponse(
|
||||
id=user["id"],
|
||||
phone=user["phone"],
|
||||
username=user.get("username"),
|
||||
role=user["role"],
|
||||
is_active=user["is_active"],
|
||||
expires_at=user.get("expires_at")
|
||||
).model_dump())
|
||||
return success_response(UserResponse(
|
||||
id=user["id"],
|
||||
phone=user["phone"],
|
||||
username=user.get("username"),
|
||||
role=user["role"],
|
||||
is_active=user["is_active"],
|
||||
expires_at=user.get("expires_at")
|
||||
).model_dump())
|
||||
|
||||
0
backend/app/modules/generated_audios/__init__.py
Normal file
0
backend/app/modules/generated_audios/__init__.py
Normal file
77
backend/app/modules/generated_audios/router.py
Normal file
77
backend/app/modules/generated_audios/router.py
Normal file
@@ -0,0 +1,77 @@
|
||||
"""生成配音 API"""
|
||||
from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException
|
||||
import uuid
|
||||
from loguru import logger
|
||||
|
||||
from app.core.deps import get_current_user
|
||||
from app.core.response import success_response
|
||||
from app.modules.videos.task_store import create_task, get_task
|
||||
from app.modules.generated_audios.schemas import GenerateAudioRequest, RenameAudioRequest
|
||||
from app.modules.generated_audios import service
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
|
||||
@router.post("/generate")
|
||||
async def generate_audio(
|
||||
req: GenerateAudioRequest,
|
||||
background_tasks: BackgroundTasks,
|
||||
user: dict = Depends(get_current_user),
|
||||
):
|
||||
"""异步生成配音(返回 task_id)"""
|
||||
task_id = str(uuid.uuid4())
|
||||
create_task(task_id, user["id"])
|
||||
background_tasks.add_task(service.generate_audio_task, task_id, req, user["id"])
|
||||
return success_response({"task_id": task_id})
|
||||
|
||||
|
||||
@router.get("/tasks/{task_id}")
|
||||
async def get_audio_task(task_id: str, user: dict = Depends(get_current_user)):
|
||||
"""轮询配音生成进度"""
|
||||
task = get_task(task_id)
|
||||
if task.get("status") != "not_found" and task.get("user_id") != user["id"]:
|
||||
return success_response({"status": "not_found"})
|
||||
return success_response(task)
|
||||
|
||||
|
||||
@router.get("")
|
||||
async def list_audios(user: dict = Depends(get_current_user)):
|
||||
"""列出当前用户所有已生成配音"""
|
||||
try:
|
||||
result = await service.list_generated_audios(user["id"])
|
||||
return success_response(result)
|
||||
except Exception as e:
|
||||
logger.error(f"列出配音失败: {e}")
|
||||
raise HTTPException(status_code=500, detail=f"获取列表失败: {str(e)}")
|
||||
|
||||
|
||||
@router.delete("/{audio_id:path}")
|
||||
async def delete_audio(audio_id: str, user: dict = Depends(get_current_user)):
|
||||
"""删除配音"""
|
||||
try:
|
||||
await service.delete_generated_audio(audio_id, user["id"])
|
||||
return success_response(message="删除成功")
|
||||
except PermissionError as e:
|
||||
raise HTTPException(status_code=403, detail=str(e))
|
||||
except Exception as e:
|
||||
logger.error(f"删除配音失败: {e}")
|
||||
raise HTTPException(status_code=500, detail=f"删除失败: {str(e)}")
|
||||
|
||||
|
||||
@router.put("/{audio_id:path}")
|
||||
async def rename_audio(
|
||||
audio_id: str,
|
||||
request: RenameAudioRequest,
|
||||
user: dict = Depends(get_current_user),
|
||||
):
|
||||
"""重命名配音"""
|
||||
try:
|
||||
result = await service.rename_generated_audio(audio_id, request.new_name, user["id"])
|
||||
return success_response(result, message="重命名成功")
|
||||
except PermissionError as e:
|
||||
raise HTTPException(status_code=403, detail=str(e))
|
||||
except ValueError as e:
|
||||
raise HTTPException(status_code=400, detail=str(e))
|
||||
except Exception as e:
|
||||
logger.error(f"重命名配音失败: {e}")
|
||||
raise HTTPException(status_code=500, detail=f"重命名失败: {str(e)}")
|
||||
31
backend/app/modules/generated_audios/schemas.py
Normal file
31
backend/app/modules/generated_audios/schemas.py
Normal file
@@ -0,0 +1,31 @@
|
||||
from pydantic import BaseModel
|
||||
from typing import Optional, List
|
||||
|
||||
|
||||
class GenerateAudioRequest(BaseModel):
|
||||
text: str
|
||||
tts_mode: str = "edgetts"
|
||||
voice: str = "zh-CN-YunxiNeural"
|
||||
ref_audio_id: Optional[str] = None
|
||||
ref_text: Optional[str] = None
|
||||
language: str = "zh-CN"
|
||||
speed: float = 1.0
|
||||
|
||||
|
||||
class RenameAudioRequest(BaseModel):
|
||||
new_name: str
|
||||
|
||||
|
||||
class GeneratedAudioItem(BaseModel):
|
||||
id: str
|
||||
name: str
|
||||
path: str
|
||||
duration_sec: float
|
||||
text: str
|
||||
tts_mode: str
|
||||
language: str
|
||||
created_at: int
|
||||
|
||||
|
||||
class GeneratedAudioListResponse(BaseModel):
|
||||
items: List[GeneratedAudioItem]
|
||||
264
backend/app/modules/generated_audios/service.py
Normal file
264
backend/app/modules/generated_audios/service.py
Normal file
@@ -0,0 +1,264 @@
|
||||
"""生成配音 - 业务逻辑"""
|
||||
import re
|
||||
import json
|
||||
import time
|
||||
import asyncio
|
||||
import subprocess
|
||||
import tempfile
|
||||
import os
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
import httpx
|
||||
from loguru import logger
|
||||
|
||||
from app.services.storage import storage_service
|
||||
from app.services.tts_service import TTSService
|
||||
from app.services.voice_clone_service import voice_clone_service
|
||||
from app.modules.videos.task_store import task_store
|
||||
from app.modules.generated_audios.schemas import (
|
||||
GenerateAudioRequest,
|
||||
GeneratedAudioItem,
|
||||
GeneratedAudioListResponse,
|
||||
)
|
||||
|
||||
BUCKET = "generated-audios"
|
||||
|
||||
|
||||
def _locale_to_tts_lang(locale: str) -> str:
|
||||
mapping = {"zh": "Chinese", "en": "English"}
|
||||
return mapping.get(locale.split("-")[0], "Auto")
|
||||
|
||||
|
||||
def _get_audio_duration(file_path: str) -> float:
|
||||
try:
|
||||
result = subprocess.run(
|
||||
['ffprobe', '-v', 'quiet', '-show_entries', 'format=duration',
|
||||
'-of', 'csv=p=0', file_path],
|
||||
capture_output=True, text=True, timeout=10
|
||||
)
|
||||
return float(result.stdout.strip())
|
||||
except Exception as e:
|
||||
logger.warning(f"获取音频时长失败: {e}")
|
||||
return 0.0
|
||||
|
||||
|
||||
async def generate_audio_task(task_id: str, req: GenerateAudioRequest, user_id: str):
|
||||
"""后台任务:生成配音"""
|
||||
try:
|
||||
task_store.update(task_id, {"status": "processing", "progress": 10, "message": "正在生成配音..."})
|
||||
|
||||
with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp:
|
||||
audio_path = tmp.name
|
||||
|
||||
try:
|
||||
if req.tts_mode == "voiceclone":
|
||||
if not req.ref_audio_id or not req.ref_text:
|
||||
raise ValueError("声音克隆模式需要提供参考音频和参考文字")
|
||||
|
||||
task_store.update(task_id, {"progress": 20, "message": "正在下载参考音频..."})
|
||||
|
||||
with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_ref:
|
||||
ref_local = tmp_ref.name
|
||||
|
||||
try:
|
||||
ref_url = await storage_service.get_signed_url(
|
||||
bucket="ref-audios", path=req.ref_audio_id
|
||||
)
|
||||
timeout = httpx.Timeout(None)
|
||||
async with httpx.AsyncClient(timeout=timeout) as client:
|
||||
async with client.stream("GET", ref_url) as resp:
|
||||
resp.raise_for_status()
|
||||
with open(ref_local, "wb") as f:
|
||||
async for chunk in resp.aiter_bytes():
|
||||
f.write(chunk)
|
||||
|
||||
task_store.update(task_id, {"progress": 40, "message": "正在克隆声音..."})
|
||||
await voice_clone_service.generate_audio(
|
||||
text=req.text,
|
||||
ref_audio_path=ref_local,
|
||||
ref_text=req.ref_text,
|
||||
output_path=audio_path,
|
||||
language=_locale_to_tts_lang(req.language),
|
||||
speed=req.speed,
|
||||
)
|
||||
finally:
|
||||
if os.path.exists(ref_local):
|
||||
os.unlink(ref_local)
|
||||
else:
|
||||
task_store.update(task_id, {"progress": 30, "message": "正在生成语音..."})
|
||||
tts = TTSService()
|
||||
await tts.generate_audio(req.text, req.voice, audio_path)
|
||||
|
||||
task_store.update(task_id, {"progress": 70, "message": "正在上传配音..."})
|
||||
|
||||
duration = _get_audio_duration(audio_path)
|
||||
timestamp = int(time.time())
|
||||
audio_id = f"{user_id}/{timestamp}_audio.wav"
|
||||
meta_id = f"{user_id}/{timestamp}_audio.json"
|
||||
|
||||
# 生成 display_name
|
||||
now = time.strftime("%Y%m%d_%H%M", time.localtime(timestamp))
|
||||
display_name = f"配音_{now}"
|
||||
|
||||
with open(audio_path, "rb") as f:
|
||||
wav_data = f.read()
|
||||
|
||||
await storage_service.upload_file(
|
||||
bucket=BUCKET, path=audio_id,
|
||||
file_data=wav_data, content_type="audio/wav",
|
||||
)
|
||||
|
||||
metadata = {
|
||||
"display_name": display_name,
|
||||
"text": req.text,
|
||||
"tts_mode": req.tts_mode,
|
||||
"voice": req.voice if req.tts_mode == "edgetts" else None,
|
||||
"ref_audio_id": req.ref_audio_id,
|
||||
"language": req.language,
|
||||
"duration_sec": duration,
|
||||
"created_at": timestamp,
|
||||
}
|
||||
await storage_service.upload_file(
|
||||
bucket=BUCKET, path=meta_id,
|
||||
file_data=json.dumps(metadata, ensure_ascii=False).encode("utf-8"),
|
||||
content_type="application/json",
|
||||
)
|
||||
|
||||
signed_url = await storage_service.get_signed_url(BUCKET, audio_id)
|
||||
|
||||
task_store.update(task_id, {
|
||||
"status": "completed",
|
||||
"progress": 100,
|
||||
"message": f"配音生成完成 ({duration:.1f}s)",
|
||||
"output": {
|
||||
"audio_id": audio_id,
|
||||
"name": display_name,
|
||||
"path": signed_url,
|
||||
"duration_sec": duration,
|
||||
"text": req.text,
|
||||
"tts_mode": req.tts_mode,
|
||||
"language": req.language,
|
||||
"created_at": timestamp,
|
||||
},
|
||||
})
|
||||
finally:
|
||||
if os.path.exists(audio_path):
|
||||
os.unlink(audio_path)
|
||||
|
||||
except Exception as e:
|
||||
import traceback
|
||||
task_store.update(task_id, {
|
||||
"status": "failed",
|
||||
"message": f"配音生成失败: {str(e)}",
|
||||
"error": traceback.format_exc(),
|
||||
})
|
||||
logger.error(f"Generate audio failed: {e}")
|
||||
|
||||
|
||||
async def list_generated_audios(user_id: str) -> dict:
|
||||
"""列出用户的所有已生成配音"""
|
||||
files = await storage_service.list_files(BUCKET, user_id)
|
||||
wav_files = [f for f in files if f.get("name", "").endswith("_audio.wav")]
|
||||
|
||||
if not wav_files:
|
||||
return GeneratedAudioListResponse(items=[]).model_dump()
|
||||
|
||||
async def fetch_info(f):
|
||||
name = f.get("name", "")
|
||||
storage_path = f"{user_id}/{name}"
|
||||
meta_name = name.replace("_audio.wav", "_audio.json")
|
||||
meta_path = f"{user_id}/{meta_name}"
|
||||
|
||||
display_name = name
|
||||
text = ""
|
||||
tts_mode = "edgetts"
|
||||
language = "zh-CN"
|
||||
duration_sec = 0.0
|
||||
created_at = 0
|
||||
|
||||
try:
|
||||
meta_url = await storage_service.get_signed_url(BUCKET, meta_path)
|
||||
async with httpx.AsyncClient(timeout=5.0) as client:
|
||||
resp = await client.get(meta_url)
|
||||
if resp.status_code == 200:
|
||||
meta = resp.json()
|
||||
display_name = meta.get("display_name", name)
|
||||
text = meta.get("text", "")
|
||||
tts_mode = meta.get("tts_mode", "edgetts")
|
||||
language = meta.get("language", "zh-CN")
|
||||
duration_sec = meta.get("duration_sec", 0.0)
|
||||
created_at = meta.get("created_at", 0)
|
||||
except Exception as e:
|
||||
logger.debug(f"读取配音 metadata 失败: {e}")
|
||||
try:
|
||||
created_at = int(name.split("_")[0])
|
||||
except:
|
||||
pass
|
||||
|
||||
signed_url = await storage_service.get_signed_url(BUCKET, storage_path)
|
||||
|
||||
return GeneratedAudioItem(
|
||||
id=storage_path,
|
||||
name=display_name,
|
||||
path=signed_url,
|
||||
duration_sec=duration_sec,
|
||||
text=text,
|
||||
tts_mode=tts_mode,
|
||||
language=language,
|
||||
created_at=created_at,
|
||||
)
|
||||
|
||||
items = await asyncio.gather(*[fetch_info(f) for f in wav_files])
|
||||
items = sorted(items, key=lambda x: x.created_at, reverse=True)
|
||||
return GeneratedAudioListResponse(items=items).model_dump()
|
||||
|
||||
|
||||
async def delete_generated_audio(audio_id: str, user_id: str) -> None:
|
||||
if not audio_id.startswith(f"{user_id}/"):
|
||||
raise PermissionError("无权删除此文件")
|
||||
|
||||
await storage_service.delete_file(BUCKET, audio_id)
|
||||
meta_path = audio_id.replace("_audio.wav", "_audio.json")
|
||||
try:
|
||||
await storage_service.delete_file(BUCKET, meta_path)
|
||||
except:
|
||||
pass
|
||||
|
||||
|
||||
async def rename_generated_audio(audio_id: str, new_name: str, user_id: str) -> dict:
|
||||
if not audio_id.startswith(f"{user_id}/"):
|
||||
raise PermissionError("无权修改此文件")
|
||||
|
||||
new_name = new_name.strip()
|
||||
if not new_name:
|
||||
raise ValueError("新名称不能为空")
|
||||
|
||||
meta_path = audio_id.replace("_audio.wav", "_audio.json")
|
||||
try:
|
||||
meta_url = await storage_service.get_signed_url(BUCKET, meta_path)
|
||||
async with httpx.AsyncClient() as client:
|
||||
resp = await client.get(meta_url)
|
||||
if resp.status_code == 200:
|
||||
metadata = resp.json()
|
||||
else:
|
||||
raise Exception(f"Failed to fetch metadata: {resp.status_code}")
|
||||
except Exception as e:
|
||||
logger.warning(f"无法读取配音元数据: {e}, 将创建新的")
|
||||
metadata = {
|
||||
"display_name": new_name,
|
||||
"text": "",
|
||||
"tts_mode": "edgetts",
|
||||
"language": "zh-CN",
|
||||
"duration_sec": 0.0,
|
||||
"created_at": int(time.time()),
|
||||
}
|
||||
|
||||
metadata["display_name"] = new_name
|
||||
await storage_service.upload_file(
|
||||
bucket=BUCKET,
|
||||
path=meta_path,
|
||||
file_data=json.dumps(metadata, ensure_ascii=False).encode("utf-8"),
|
||||
content_type="application/json",
|
||||
)
|
||||
return {"name": new_name}
|
||||
@@ -1,416 +1,62 @@
|
||||
from fastapi import APIRouter, UploadFile, File, HTTPException, Request, BackgroundTasks, Depends
|
||||
from app.core.config import settings
|
||||
from app.core.deps import get_current_user
|
||||
from app.core.response import success_response
|
||||
from app.services.storage import storage_service
|
||||
import re
|
||||
import time
|
||||
import traceback
|
||||
import os
|
||||
import aiofiles
|
||||
from pathlib import Path
|
||||
from loguru import logger
|
||||
import asyncio
|
||||
from pydantic import BaseModel
|
||||
from typing import Optional
|
||||
import httpx
|
||||
from fastapi import APIRouter, HTTPException, Request, Depends
|
||||
from loguru import logger
|
||||
|
||||
from app.core.deps import get_current_user
|
||||
from app.core.response import success_response
|
||||
from app.modules.materials.schemas import RenameMaterialRequest
|
||||
from app.modules.materials import service
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
|
||||
class RenameMaterialRequest(BaseModel):
|
||||
new_name: str
|
||||
|
||||
def sanitize_filename(filename: str) -> str:
|
||||
safe_name = re.sub(r'[<>:"/\\|?*]', '_', filename)
|
||||
if len(safe_name) > 100:
|
||||
ext = Path(safe_name).suffix
|
||||
safe_name = safe_name[:100 - len(ext)] + ext
|
||||
return safe_name
|
||||
|
||||
async def process_and_upload(temp_file_path: str, original_filename: str, content_type: str, user_id: str):
|
||||
"""Background task to strip multipart headers and upload to Supabase"""
|
||||
try:
|
||||
logger.info(f"Processing raw upload: {temp_file_path} for user {user_id}")
|
||||
|
||||
# 1. Analyze file to find actual video content (strip multipart boundaries)
|
||||
# This is a simplified manual parser for a SINGLE file upload.
|
||||
# Structure:
|
||||
# --boundary
|
||||
# Content-Disposition: form-data; name="file"; filename="..."
|
||||
# Content-Type: video/mp4
|
||||
# \r\n\r\n
|
||||
# [DATA]
|
||||
# \r\n--boundary--
|
||||
|
||||
# We need to read the first few KB to find the header end
|
||||
start_offset = 0
|
||||
end_offset = 0
|
||||
boundary = b""
|
||||
|
||||
file_size = os.path.getsize(temp_file_path)
|
||||
|
||||
with open(temp_file_path, 'rb') as f:
|
||||
# Read first 4KB to find header
|
||||
head = f.read(4096)
|
||||
|
||||
# Find boundary
|
||||
first_line_end = head.find(b'\r\n')
|
||||
if first_line_end == -1:
|
||||
raise Exception("Could not find boundary in multipart body")
|
||||
|
||||
boundary = head[:first_line_end] # e.g. --boundary123
|
||||
logger.info(f"Detected boundary: {boundary}")
|
||||
|
||||
# Find end of headers (\r\n\r\n)
|
||||
header_end = head.find(b'\r\n\r\n')
|
||||
if header_end == -1:
|
||||
raise Exception("Could not find end of multipart headers")
|
||||
|
||||
start_offset = header_end + 4
|
||||
logger.info(f"Video data starts at offset: {start_offset}")
|
||||
|
||||
# Find end boundary (read from end of file)
|
||||
# It should be \r\n + boundary + -- + \r\n
|
||||
# We seek to end-200 bytes
|
||||
f.seek(max(0, file_size - 200))
|
||||
tail = f.read()
|
||||
|
||||
# The closing boundary is usually --boundary--
|
||||
# We look for the last occurrence of the boundary
|
||||
last_boundary_pos = tail.rfind(boundary)
|
||||
if last_boundary_pos != -1:
|
||||
# The data ends before \r\n + boundary
|
||||
# The tail buffer relative position needs to be converted to absolute
|
||||
end_pos_in_tail = last_boundary_pos
|
||||
# We also need to check for the preceding \r\n
|
||||
if end_pos_in_tail >= 2 and tail[end_pos_in_tail-2:end_pos_in_tail] == b'\r\n':
|
||||
end_pos_in_tail -= 2
|
||||
|
||||
# Absolute end offset
|
||||
end_offset = (file_size - 200) + last_boundary_pos
|
||||
# Correction for CRLF before boundary
|
||||
# Actually, simply: read until (file_size - len(tail) + last_boundary_pos) - 2
|
||||
end_offset = (max(0, file_size - 200) + last_boundary_pos) - 2
|
||||
else:
|
||||
logger.warning("Could not find closing boundary, assuming EOF")
|
||||
end_offset = file_size
|
||||
|
||||
logger.info(f"Video data ends at offset: {end_offset}. Total video size: {end_offset - start_offset}")
|
||||
|
||||
# 2. Extract and Upload to Supabase
|
||||
# Since we have the file on disk, we can just pass the file object (seeked) to upload_file?
|
||||
# Or if upload_file expects bytes/path, checking storage.py...
|
||||
# It takes `file_data` (bytes) or file-like?
|
||||
# supabase-py's `upload` method handles parsing if we pass a file object.
|
||||
# But we need to pass ONLY the video slice.
|
||||
# So we create a generator or a sliced file object?
|
||||
# Simpler: Read the slice into memory if < 1GB? Or copy to new temp file?
|
||||
# Copying to new temp file is safer for memory.
|
||||
|
||||
video_path = temp_file_path + "_video.mp4"
|
||||
with open(temp_file_path, 'rb') as src, open(video_path, 'wb') as dst:
|
||||
src.seek(start_offset)
|
||||
# Copy in chunks
|
||||
bytes_to_copy = end_offset - start_offset
|
||||
copied = 0
|
||||
while copied < bytes_to_copy:
|
||||
chunk_size = min(1024*1024*10, bytes_to_copy - copied) # 10MB chunks
|
||||
chunk = src.read(chunk_size)
|
||||
if not chunk:
|
||||
break
|
||||
dst.write(chunk)
|
||||
copied += len(chunk)
|
||||
|
||||
logger.info(f"Extracted video content to {video_path}")
|
||||
|
||||
# 3. Upload to Supabase with user isolation
|
||||
timestamp = int(time.time())
|
||||
safe_name = re.sub(r'[^a-zA-Z0-9._-]', '', original_filename)
|
||||
# 使用 user_id 作为目录前缀实现隔离
|
||||
storage_path = f"{user_id}/{timestamp}_{safe_name}"
|
||||
|
||||
# Use storage service (this calls Supabase which might do its own http request)
|
||||
# We read the cleaned video file
|
||||
with open(video_path, 'rb') as f:
|
||||
file_content = f.read() # Still reading into memory for simple upload call, but server has 32GB RAM so ok for 500MB
|
||||
await storage_service.upload_file(
|
||||
bucket=storage_service.BUCKET_MATERIALS,
|
||||
path=storage_path,
|
||||
file_data=file_content,
|
||||
content_type=content_type
|
||||
)
|
||||
|
||||
logger.info(f"Upload to Supabase complete: {storage_path}")
|
||||
|
||||
# Cleanup
|
||||
os.remove(temp_file_path)
|
||||
os.remove(video_path)
|
||||
|
||||
return storage_path
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Background upload processing failed: {e}\n{traceback.format_exc()}")
|
||||
raise
|
||||
router = APIRouter()
|
||||
|
||||
|
||||
@router.post("")
|
||||
async def upload_material(
|
||||
request: Request,
|
||||
background_tasks: BackgroundTasks,
|
||||
current_user: dict = Depends(get_current_user)
|
||||
):
|
||||
user_id = current_user["id"]
|
||||
logger.info(f"ENTERED upload_material (Streaming Mode) for user {user_id}. Headers: {request.headers}")
|
||||
|
||||
filename = "unknown_video.mp4" # Fallback
|
||||
content_type = "video/mp4"
|
||||
|
||||
# Try to parse filename from header if possible (unreliable in raw stream)
|
||||
# We will rely on post-processing or client hint
|
||||
# Frontend sends standard multipart.
|
||||
|
||||
# Create temp file
|
||||
timestamp = int(time.time())
|
||||
temp_filename = f"upload_{timestamp}.raw"
|
||||
temp_path = os.path.join("/tmp", temp_filename) # Use /tmp on Linux
|
||||
# Ensure /tmp exists (it does) but verify paths
|
||||
if os.name == 'nt': # Local dev
|
||||
temp_path = f"d:/tmp/{temp_filename}"
|
||||
os.makedirs("d:/tmp", exist_ok=True)
|
||||
|
||||
logger.info(f"Upload material request from user {user_id}")
|
||||
try:
|
||||
total_size = 0
|
||||
last_log = 0
|
||||
|
||||
async with aiofiles.open(temp_path, 'wb') as f:
|
||||
async for chunk in request.stream():
|
||||
await f.write(chunk)
|
||||
total_size += len(chunk)
|
||||
|
||||
# Log progress every 20MB
|
||||
if total_size - last_log > 20 * 1024 * 1024:
|
||||
logger.info(f"Receiving stream... Processed {total_size / (1024*1024):.2f} MB")
|
||||
last_log = total_size
|
||||
|
||||
logger.info(f"Stream reception complete. Total size: {total_size} bytes. Saved to {temp_path}")
|
||||
|
||||
if total_size == 0:
|
||||
raise HTTPException(400, "Received empty body")
|
||||
|
||||
# Attempt to extract filename from the saved file's first bytes?
|
||||
# Or just accept it as "uploaded_video.mp4" for now to prove it works.
|
||||
# We can try to regex the header in the file content we just wrote.
|
||||
# Implemented in background task to return success immediately.
|
||||
|
||||
# Wait, if we return immediately, the user's UI might not show the file yet?
|
||||
# The prompt says "Wait for upload".
|
||||
# But to avoid User Waiting Timeout, maybe returning early is better?
|
||||
# NO, user expects the file to be in the list.
|
||||
# So we Must await the processing.
|
||||
# But "Processing" (Strip + Upload to Supabase) takes time.
|
||||
# Receiving took time.
|
||||
# If we await Supabase upload, does it timeout?
|
||||
# Supabase upload is outgoing. Usually faster/stable.
|
||||
|
||||
# Let's await the processing to ensure "List Materials" shows it.
|
||||
# We need to extract the filename for the list.
|
||||
|
||||
# Quick extract filename from first 4kb
|
||||
with open(temp_path, 'rb') as f:
|
||||
head = f.read(4096).decode('utf-8', errors='ignore')
|
||||
match = re.search(r'filename="([^"]+)"', head)
|
||||
if match:
|
||||
filename = match.group(1)
|
||||
logger.info(f"Extracted filename from body: {filename}")
|
||||
|
||||
# Run processing sync (in await)
|
||||
storage_path = await process_and_upload(temp_path, filename, content_type, user_id)
|
||||
|
||||
# Get signed URL (it exists now)
|
||||
signed_url = await storage_service.get_signed_url(
|
||||
bucket=storage_service.BUCKET_MATERIALS,
|
||||
path=storage_path
|
||||
)
|
||||
|
||||
size_mb = total_size / (1024 * 1024) # Approximate (includes headers)
|
||||
|
||||
# 从 storage_path 提取显示名
|
||||
display_name = storage_path.split('/')[-1] # 去掉 user_id 前缀
|
||||
if '_' in display_name:
|
||||
parts = display_name.split('_', 1)
|
||||
if parts[0].isdigit():
|
||||
display_name = parts[1]
|
||||
|
||||
return success_response({
|
||||
"id": storage_path,
|
||||
"name": display_name,
|
||||
"path": signed_url,
|
||||
"size_mb": size_mb,
|
||||
"type": "video"
|
||||
})
|
||||
|
||||
result = await service.upload_material(request, user_id)
|
||||
return success_response(result)
|
||||
except ValueError as e:
|
||||
raise HTTPException(400, str(e))
|
||||
except Exception as e:
|
||||
error_msg = f"Streaming upload failed: {str(e)}"
|
||||
detail_msg = f"Exception: {repr(e)}\nArgs: {e.args}\n{traceback.format_exc()}"
|
||||
logger.error(error_msg + "\n" + detail_msg)
|
||||
|
||||
# Write to debug file
|
||||
try:
|
||||
with open("debug_upload.log", "a") as logf:
|
||||
logf.write(f"\n--- Error at {time.ctime()} ---\n")
|
||||
logf.write(detail_msg)
|
||||
logf.write("\n-----------------------------\n")
|
||||
except:
|
||||
pass
|
||||
|
||||
if os.path.exists(temp_path):
|
||||
try:
|
||||
os.remove(temp_path)
|
||||
except:
|
||||
pass
|
||||
raise HTTPException(500, f"Upload failed. Check server logs. Error: {str(e)}")
|
||||
raise HTTPException(500, f"Upload failed. Error: {str(e)}")
|
||||
|
||||
|
||||
@router.get("")
|
||||
async def list_materials(current_user: dict = Depends(get_current_user)):
|
||||
user_id = current_user["id"]
|
||||
try:
|
||||
# 只列出当前用户目录下的文件
|
||||
files_obj = await storage_service.list_files(
|
||||
bucket=storage_service.BUCKET_MATERIALS,
|
||||
path=user_id
|
||||
)
|
||||
semaphore = asyncio.Semaphore(8)
|
||||
|
||||
async def build_item(f):
|
||||
name = f.get('name')
|
||||
if not name or name == '.emptyFolderPlaceholder':
|
||||
return None
|
||||
display_name = name
|
||||
if '_' in name:
|
||||
parts = name.split('_', 1)
|
||||
if parts[0].isdigit():
|
||||
display_name = parts[1]
|
||||
full_path = f"{user_id}/{name}"
|
||||
async with semaphore:
|
||||
signed_url = await storage_service.get_signed_url(
|
||||
bucket=storage_service.BUCKET_MATERIALS,
|
||||
path=full_path
|
||||
)
|
||||
metadata = f.get('metadata', {})
|
||||
size = metadata.get('size', 0)
|
||||
created_at_str = f.get('created_at', '')
|
||||
created_at = 0
|
||||
if created_at_str:
|
||||
from datetime import datetime
|
||||
try:
|
||||
dt = datetime.fromisoformat(created_at_str.replace('Z', '+00:00'))
|
||||
created_at = int(dt.timestamp())
|
||||
except Exception:
|
||||
pass
|
||||
return {
|
||||
"id": full_path,
|
||||
"name": display_name,
|
||||
"path": signed_url,
|
||||
"size_mb": size / (1024 * 1024),
|
||||
"type": "video",
|
||||
"created_at": created_at
|
||||
}
|
||||
|
||||
tasks = [build_item(f) for f in files_obj]
|
||||
results = await asyncio.gather(*tasks, return_exceptions=True)
|
||||
|
||||
materials = []
|
||||
for item in results:
|
||||
if not item:
|
||||
continue
|
||||
if isinstance(item, Exception):
|
||||
logger.warning(f"Material signed url build failed: {item}")
|
||||
continue
|
||||
materials.append(item)
|
||||
materials.sort(key=lambda x: x['id'], reverse=True)
|
||||
return success_response({"materials": materials})
|
||||
except Exception as e:
|
||||
logger.error(f"List materials failed: {e}")
|
||||
return success_response({"materials": []}, message="获取素材失败")
|
||||
materials = await service.list_materials(user_id)
|
||||
return success_response({"materials": materials})
|
||||
|
||||
|
||||
@router.delete("/{material_id:path}")
|
||||
async def delete_material(material_id: str, current_user: dict = Depends(get_current_user)):
|
||||
@router.delete("/{material_id:path}")
|
||||
async def delete_material(material_id: str, current_user: dict = Depends(get_current_user)):
|
||||
user_id = current_user["id"]
|
||||
# 验证 material_id 属于当前用户
|
||||
if not material_id.startswith(f"{user_id}/"):
|
||||
raise HTTPException(403, "无权删除此素材")
|
||||
try:
|
||||
await storage_service.delete_file(
|
||||
bucket=storage_service.BUCKET_MATERIALS,
|
||||
path=material_id
|
||||
)
|
||||
return success_response(message="素材已删除")
|
||||
except Exception as e:
|
||||
raise HTTPException(500, f"删除失败: {str(e)}")
|
||||
|
||||
|
||||
@router.put("/{material_id:path}")
|
||||
async def rename_material(
|
||||
material_id: str,
|
||||
payload: RenameMaterialRequest,
|
||||
current_user: dict = Depends(get_current_user)
|
||||
):
|
||||
user_id = current_user["id"]
|
||||
if not material_id.startswith(f"{user_id}/"):
|
||||
raise HTTPException(403, "无权重命名此素材")
|
||||
|
||||
new_name_raw = payload.new_name.strip() if payload.new_name else ""
|
||||
if not new_name_raw:
|
||||
raise HTTPException(400, "新名称不能为空")
|
||||
|
||||
old_name = material_id.split("/", 1)[1]
|
||||
old_ext = Path(old_name).suffix
|
||||
base_name = Path(new_name_raw).stem if Path(new_name_raw).suffix else new_name_raw
|
||||
safe_base = sanitize_filename(base_name).strip()
|
||||
if not safe_base:
|
||||
raise HTTPException(400, "新名称无效")
|
||||
|
||||
new_filename = f"{safe_base}{old_ext}"
|
||||
|
||||
prefix = None
|
||||
if "_" in old_name:
|
||||
maybe_prefix, _ = old_name.split("_", 1)
|
||||
if maybe_prefix.isdigit():
|
||||
prefix = maybe_prefix
|
||||
if prefix:
|
||||
new_filename = f"{prefix}_{new_filename}"
|
||||
|
||||
new_path = f"{user_id}/{new_filename}"
|
||||
try:
|
||||
if new_path != material_id:
|
||||
await storage_service.move_file(
|
||||
bucket=storage_service.BUCKET_MATERIALS,
|
||||
from_path=material_id,
|
||||
to_path=new_path
|
||||
)
|
||||
|
||||
signed_url = await storage_service.get_signed_url(
|
||||
bucket=storage_service.BUCKET_MATERIALS,
|
||||
path=new_path
|
||||
)
|
||||
|
||||
display_name = new_filename
|
||||
if "_" in new_filename:
|
||||
parts = new_filename.split("_", 1)
|
||||
if parts[0].isdigit():
|
||||
display_name = parts[1]
|
||||
|
||||
return success_response({
|
||||
"id": new_path,
|
||||
"name": display_name,
|
||||
"path": signed_url,
|
||||
}, message="重命名成功")
|
||||
except Exception as e:
|
||||
raise HTTPException(500, f"重命名失败: {str(e)}")
|
||||
|
||||
await service.delete_material(material_id, user_id)
|
||||
return success_response(message="素材已删除")
|
||||
except PermissionError as e:
|
||||
raise HTTPException(403, str(e))
|
||||
except Exception as e:
|
||||
raise HTTPException(500, f"删除失败: {str(e)}")
|
||||
|
||||
|
||||
@router.put("/{material_id:path}")
|
||||
async def rename_material(
|
||||
material_id: str,
|
||||
payload: RenameMaterialRequest,
|
||||
current_user: dict = Depends(get_current_user)
|
||||
):
|
||||
user_id = current_user["id"]
|
||||
try:
|
||||
result = await service.rename_material(material_id, payload.new_name, user_id)
|
||||
return success_response(result, message="重命名成功")
|
||||
except PermissionError as e:
|
||||
raise HTTPException(403, str(e))
|
||||
except ValueError as e:
|
||||
raise HTTPException(400, str(e))
|
||||
except Exception as e:
|
||||
raise HTTPException(500, f"重命名失败: {str(e)}")
|
||||
|
||||
14
backend/app/modules/materials/schemas.py
Normal file
14
backend/app/modules/materials/schemas.py
Normal file
@@ -0,0 +1,14 @@
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
class RenameMaterialRequest(BaseModel):
|
||||
new_name: str
|
||||
|
||||
|
||||
class MaterialItem(BaseModel):
|
||||
id: str
|
||||
name: str
|
||||
path: str
|
||||
size_mb: float
|
||||
type: str = "video"
|
||||
created_at: int = 0
|
||||
296
backend/app/modules/materials/service.py
Normal file
296
backend/app/modules/materials/service.py
Normal file
@@ -0,0 +1,296 @@
|
||||
import re
|
||||
import os
|
||||
import time
|
||||
import asyncio
|
||||
import traceback
|
||||
import aiofiles
|
||||
from pathlib import Path
|
||||
from loguru import logger
|
||||
|
||||
from app.services.storage import storage_service
|
||||
|
||||
|
||||
def sanitize_filename(filename: str) -> str:
|
||||
safe_name = re.sub(r'[<>:"/\\|?*]', '_', filename)
|
||||
if len(safe_name) > 100:
|
||||
ext = Path(safe_name).suffix
|
||||
safe_name = safe_name[:100 - len(ext)] + ext
|
||||
return safe_name
|
||||
|
||||
|
||||
def _extract_display_name(storage_name: str) -> str:
|
||||
"""从存储文件名中提取显示名(去掉时间戳前缀)"""
|
||||
if '_' in storage_name:
|
||||
parts = storage_name.split('_', 1)
|
||||
if parts[0].isdigit():
|
||||
return parts[1]
|
||||
return storage_name
|
||||
|
||||
|
||||
async def _process_and_upload(temp_file_path: str, original_filename: str, content_type: str, user_id: str) -> str:
|
||||
"""Strip multipart headers and upload to Supabase, return storage_path"""
|
||||
try:
|
||||
logger.info(f"Processing raw upload: {temp_file_path} for user {user_id}")
|
||||
|
||||
file_size = os.path.getsize(temp_file_path)
|
||||
|
||||
with open(temp_file_path, 'rb') as f:
|
||||
head = f.read(4096)
|
||||
|
||||
first_line_end = head.find(b'\r\n')
|
||||
if first_line_end == -1:
|
||||
raise Exception("Could not find boundary in multipart body")
|
||||
|
||||
boundary = head[:first_line_end]
|
||||
logger.info(f"Detected boundary: {boundary}")
|
||||
|
||||
header_end = head.find(b'\r\n\r\n')
|
||||
if header_end == -1:
|
||||
raise Exception("Could not find end of multipart headers")
|
||||
|
||||
start_offset = header_end + 4
|
||||
logger.info(f"Video data starts at offset: {start_offset}")
|
||||
|
||||
f.seek(max(0, file_size - 200))
|
||||
tail = f.read()
|
||||
|
||||
last_boundary_pos = tail.rfind(boundary)
|
||||
if last_boundary_pos != -1:
|
||||
end_offset = (max(0, file_size - 200) + last_boundary_pos) - 2
|
||||
else:
|
||||
logger.warning("Could not find closing boundary, assuming EOF")
|
||||
end_offset = file_size
|
||||
|
||||
logger.info(f"Video data ends at offset: {end_offset}. Total video size: {end_offset - start_offset}")
|
||||
|
||||
video_path = temp_file_path + "_video.mp4"
|
||||
with open(temp_file_path, 'rb') as src, open(video_path, 'wb') as dst:
|
||||
src.seek(start_offset)
|
||||
bytes_to_copy = end_offset - start_offset
|
||||
copied = 0
|
||||
while copied < bytes_to_copy:
|
||||
chunk_size = min(1024 * 1024 * 10, bytes_to_copy - copied)
|
||||
chunk = src.read(chunk_size)
|
||||
if not chunk:
|
||||
break
|
||||
dst.write(chunk)
|
||||
copied += len(chunk)
|
||||
|
||||
logger.info(f"Extracted video content to {video_path}")
|
||||
|
||||
timestamp = int(time.time())
|
||||
safe_name = re.sub(r'[^a-zA-Z0-9._-]', '', original_filename)
|
||||
storage_path = f"{user_id}/{timestamp}_{safe_name}"
|
||||
|
||||
with open(video_path, 'rb') as f:
|
||||
file_content = f.read()
|
||||
await storage_service.upload_file(
|
||||
bucket=storage_service.BUCKET_MATERIALS,
|
||||
path=storage_path,
|
||||
file_data=file_content,
|
||||
content_type=content_type
|
||||
)
|
||||
|
||||
logger.info(f"Upload to Supabase complete: {storage_path}")
|
||||
|
||||
os.remove(temp_file_path)
|
||||
os.remove(video_path)
|
||||
|
||||
return storage_path
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Background upload processing failed: {e}\n{traceback.format_exc()}")
|
||||
raise
|
||||
|
||||
|
||||
async def upload_material(request, user_id: str) -> dict:
|
||||
"""接收流式上传并存储到 Supabase,返回素材信息"""
|
||||
filename = "unknown_video.mp4"
|
||||
content_type = "video/mp4"
|
||||
|
||||
timestamp = int(time.time())
|
||||
temp_filename = f"upload_{timestamp}.raw"
|
||||
temp_path = os.path.join("/tmp", temp_filename)
|
||||
if os.name == 'nt':
|
||||
temp_path = f"d:/tmp/{temp_filename}"
|
||||
os.makedirs("d:/tmp", exist_ok=True)
|
||||
|
||||
try:
|
||||
total_size = 0
|
||||
last_log = 0
|
||||
|
||||
async with aiofiles.open(temp_path, 'wb') as f:
|
||||
async for chunk in request.stream():
|
||||
await f.write(chunk)
|
||||
total_size += len(chunk)
|
||||
|
||||
if total_size - last_log > 20 * 1024 * 1024:
|
||||
logger.info(f"Receiving stream... Processed {total_size / (1024*1024):.2f} MB")
|
||||
last_log = total_size
|
||||
|
||||
logger.info(f"Stream reception complete. Total size: {total_size} bytes. Saved to {temp_path}")
|
||||
|
||||
if total_size == 0:
|
||||
raise ValueError("Received empty body")
|
||||
|
||||
with open(temp_path, 'rb') as f:
|
||||
head = f.read(4096).decode('utf-8', errors='ignore')
|
||||
match = re.search(r'filename="([^"]+)"', head)
|
||||
if match:
|
||||
filename = match.group(1)
|
||||
logger.info(f"Extracted filename from body: {filename}")
|
||||
|
||||
storage_path = await _process_and_upload(temp_path, filename, content_type, user_id)
|
||||
|
||||
signed_url = await storage_service.get_signed_url(
|
||||
bucket=storage_service.BUCKET_MATERIALS,
|
||||
path=storage_path
|
||||
)
|
||||
|
||||
size_mb = total_size / (1024 * 1024)
|
||||
display_name = _extract_display_name(storage_path.split('/')[-1])
|
||||
|
||||
return {
|
||||
"id": storage_path,
|
||||
"name": display_name,
|
||||
"path": signed_url,
|
||||
"size_mb": size_mb,
|
||||
"type": "video"
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
error_msg = f"Streaming upload failed: {str(e)}"
|
||||
detail_msg = f"Exception: {repr(e)}\nArgs: {e.args}\n{traceback.format_exc()}"
|
||||
logger.error(error_msg + "\n" + detail_msg)
|
||||
|
||||
try:
|
||||
with open("debug_upload.log", "a") as logf:
|
||||
logf.write(f"\n--- Error at {time.ctime()} ---\n")
|
||||
logf.write(detail_msg)
|
||||
logf.write("\n-----------------------------\n")
|
||||
except:
|
||||
pass
|
||||
|
||||
if os.path.exists(temp_path):
|
||||
try:
|
||||
os.remove(temp_path)
|
||||
except:
|
||||
pass
|
||||
raise
|
||||
|
||||
|
||||
async def list_materials(user_id: str) -> list[dict]:
|
||||
"""列出用户的所有素材"""
|
||||
try:
|
||||
files_obj = await storage_service.list_files(
|
||||
bucket=storage_service.BUCKET_MATERIALS,
|
||||
path=user_id
|
||||
)
|
||||
semaphore = asyncio.Semaphore(8)
|
||||
|
||||
async def build_item(f):
|
||||
name = f.get('name')
|
||||
if not name or name == '.emptyFolderPlaceholder':
|
||||
return None
|
||||
display_name = _extract_display_name(name)
|
||||
full_path = f"{user_id}/{name}"
|
||||
async with semaphore:
|
||||
signed_url = await storage_service.get_signed_url(
|
||||
bucket=storage_service.BUCKET_MATERIALS,
|
||||
path=full_path
|
||||
)
|
||||
metadata = f.get('metadata', {})
|
||||
size = metadata.get('size', 0)
|
||||
created_at_str = f.get('created_at', '')
|
||||
created_at = 0
|
||||
if created_at_str:
|
||||
from datetime import datetime
|
||||
try:
|
||||
dt = datetime.fromisoformat(created_at_str.replace('Z', '+00:00'))
|
||||
created_at = int(dt.timestamp())
|
||||
except Exception:
|
||||
pass
|
||||
return {
|
||||
"id": full_path,
|
||||
"name": display_name,
|
||||
"path": signed_url,
|
||||
"size_mb": size / (1024 * 1024),
|
||||
"type": "video",
|
||||
"created_at": created_at
|
||||
}
|
||||
|
||||
tasks = [build_item(f) for f in files_obj]
|
||||
results = await asyncio.gather(*tasks, return_exceptions=True)
|
||||
|
||||
materials = []
|
||||
for item in results:
|
||||
if not item:
|
||||
continue
|
||||
if isinstance(item, Exception):
|
||||
logger.warning(f"Material signed url build failed: {item}")
|
||||
continue
|
||||
materials.append(item)
|
||||
materials.sort(key=lambda x: x['id'], reverse=True)
|
||||
return materials
|
||||
except Exception as e:
|
||||
logger.error(f"List materials failed: {e}")
|
||||
return []
|
||||
|
||||
|
||||
async def delete_material(material_id: str, user_id: str) -> None:
|
||||
"""删除素材"""
|
||||
if not material_id.startswith(f"{user_id}/"):
|
||||
raise PermissionError("无权删除此素材")
|
||||
await storage_service.delete_file(
|
||||
bucket=storage_service.BUCKET_MATERIALS,
|
||||
path=material_id
|
||||
)
|
||||
|
||||
|
||||
async def rename_material(material_id: str, new_name_raw: str, user_id: str) -> dict:
|
||||
"""重命名素材,返回更新后的素材信息"""
|
||||
if not material_id.startswith(f"{user_id}/"):
|
||||
raise PermissionError("无权重命名此素材")
|
||||
|
||||
new_name_raw = new_name_raw.strip() if new_name_raw else ""
|
||||
if not new_name_raw:
|
||||
raise ValueError("新名称不能为空")
|
||||
|
||||
old_name = material_id.split("/", 1)[1]
|
||||
old_ext = Path(old_name).suffix
|
||||
base_name = Path(new_name_raw).stem if Path(new_name_raw).suffix else new_name_raw
|
||||
safe_base = sanitize_filename(base_name).strip()
|
||||
if not safe_base:
|
||||
raise ValueError("新名称无效")
|
||||
|
||||
new_filename = f"{safe_base}{old_ext}"
|
||||
|
||||
prefix = None
|
||||
if "_" in old_name:
|
||||
maybe_prefix, _ = old_name.split("_", 1)
|
||||
if maybe_prefix.isdigit():
|
||||
prefix = maybe_prefix
|
||||
if prefix:
|
||||
new_filename = f"{prefix}_{new_filename}"
|
||||
|
||||
new_path = f"{user_id}/{new_filename}"
|
||||
|
||||
if new_path != material_id:
|
||||
await storage_service.move_file(
|
||||
bucket=storage_service.BUCKET_MATERIALS,
|
||||
from_path=material_id,
|
||||
to_path=new_path
|
||||
)
|
||||
|
||||
signed_url = await storage_service.get_signed_url(
|
||||
bucket=storage_service.BUCKET_MATERIALS,
|
||||
path=new_path
|
||||
)
|
||||
|
||||
display_name = _extract_display_name(new_filename)
|
||||
|
||||
return {
|
||||
"id": new_path,
|
||||
"name": display_name,
|
||||
"path": signed_url,
|
||||
}
|
||||
0
backend/app/modules/payment/__init__.py
Normal file
0
backend/app/modules/payment/__init__.py
Normal file
52
backend/app/modules/payment/router.py
Normal file
52
backend/app/modules/payment/router.py
Normal file
@@ -0,0 +1,52 @@
|
||||
"""
|
||||
支付 API:创建订单、异步通知、状态查询
|
||||
|
||||
遵循 BACKEND_DEV.md 规范:router 只做参数校验、调用 service、返回统一响应
|
||||
"""
|
||||
from fastapi import APIRouter, HTTPException, Request, status
|
||||
from fastapi.responses import PlainTextResponse
|
||||
|
||||
from app.core.response import success_response
|
||||
from .schemas import CreateOrderRequest, CreateOrderResponse, OrderStatusResponse
|
||||
from . import service
|
||||
|
||||
router = APIRouter(prefix="/api/payment", tags=["支付"])
|
||||
|
||||
|
||||
@router.post("/create-order")
|
||||
async def create_payment_order(request: CreateOrderRequest):
|
||||
"""创建支付宝电脑网站支付订单,返回收银台 URL"""
|
||||
try:
|
||||
result = service.create_payment_order(request.payment_token)
|
||||
except ValueError as e:
|
||||
raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail=str(e))
|
||||
except RuntimeError as e:
|
||||
raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e))
|
||||
|
||||
return success_response(
|
||||
CreateOrderResponse(**result).model_dump()
|
||||
)
|
||||
|
||||
|
||||
@router.post("/notify")
|
||||
async def payment_notify(request: Request):
|
||||
"""
|
||||
支付宝异步通知回调
|
||||
|
||||
必须返回纯文本 "success"(不是 JSON),否则支付宝会重复推送。
|
||||
"""
|
||||
form_data = await request.form()
|
||||
verified = service.handle_payment_notify(dict(form_data))
|
||||
return PlainTextResponse("success" if verified else "fail")
|
||||
|
||||
|
||||
@router.get("/status/{out_trade_no}")
|
||||
async def check_payment_status(out_trade_no: str):
|
||||
"""查询订单支付状态(前端轮询)"""
|
||||
order_status = service.get_order_status(out_trade_no)
|
||||
if order_status is None:
|
||||
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="订单不存在")
|
||||
|
||||
return success_response(
|
||||
OrderStatusResponse(status=order_status).model_dump()
|
||||
)
|
||||
15
backend/app/modules/payment/schemas.py
Normal file
15
backend/app/modules/payment/schemas.py
Normal file
@@ -0,0 +1,15 @@
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
class CreateOrderRequest(BaseModel):
|
||||
payment_token: str
|
||||
|
||||
|
||||
class CreateOrderResponse(BaseModel):
|
||||
pay_url: str
|
||||
out_trade_no: str
|
||||
amount: float
|
||||
|
||||
|
||||
class OrderStatusResponse(BaseModel):
|
||||
status: str
|
||||
137
backend/app/modules/payment/service.py
Normal file
137
backend/app/modules/payment/service.py
Normal file
@@ -0,0 +1,137 @@
|
||||
"""
|
||||
支付业务服务
|
||||
|
||||
职责:Alipay SDK 封装、创建订单、处理支付通知、查询状态
|
||||
遵循 BACKEND_DEV.md "薄路由 + 厚服务" 原则
|
||||
"""
|
||||
from datetime import datetime, timezone, timedelta
|
||||
import uuid
|
||||
|
||||
from alipay import AliPay
|
||||
from loguru import logger
|
||||
|
||||
from app.core.config import settings
|
||||
from app.core.security import decode_payment_token
|
||||
from app.repositories.orders import create_order, get_order_by_trade_no, update_order_status
|
||||
from app.repositories.users import update_user
|
||||
|
||||
# 支付宝网关地址
|
||||
ALIPAY_GATEWAY = "https://openapi.alipay.com/gateway.do"
|
||||
ALIPAY_GATEWAY_SANDBOX = "https://openapi-sandbox.dl.alipaydev.com/gateway.do"
|
||||
|
||||
|
||||
def _get_alipay_client() -> AliPay:
|
||||
"""延迟初始化 Alipay 客户端"""
|
||||
return AliPay(
|
||||
appid=settings.ALIPAY_APP_ID,
|
||||
app_notify_url=settings.ALIPAY_NOTIFY_URL,
|
||||
app_private_key_string=open(settings.ALIPAY_PRIVATE_KEY_PATH).read(),
|
||||
alipay_public_key_string=open(settings.ALIPAY_PUBLIC_KEY_PATH).read(),
|
||||
sign_type="RSA2",
|
||||
debug=settings.ALIPAY_SANDBOX,
|
||||
)
|
||||
|
||||
|
||||
def _create_page_pay_url(out_trade_no: str, amount: float, subject: str) -> str | None:
|
||||
"""调用 alipay.trade.page.pay,返回支付宝收银台 URL"""
|
||||
client = _get_alipay_client()
|
||||
order_string = client.api_alipay_trade_page_pay(
|
||||
subject=subject,
|
||||
out_trade_no=out_trade_no,
|
||||
total_amount=amount,
|
||||
return_url=settings.ALIPAY_RETURN_URL,
|
||||
)
|
||||
if not order_string:
|
||||
logger.error(f"电脑网站支付下单失败: {out_trade_no}")
|
||||
return None
|
||||
|
||||
gateway = ALIPAY_GATEWAY_SANDBOX if settings.ALIPAY_SANDBOX else ALIPAY_GATEWAY
|
||||
pay_url = f"{gateway}?{order_string}"
|
||||
logger.info(f"电脑网站支付下单成功: {out_trade_no}")
|
||||
return pay_url
|
||||
|
||||
|
||||
def _verify_signature(data: dict, signature: str) -> bool:
|
||||
"""验证支付宝异步通知签名"""
|
||||
client = _get_alipay_client()
|
||||
return client.verify(data, signature)
|
||||
|
||||
|
||||
def create_payment_order(payment_token: str) -> dict:
|
||||
"""
|
||||
创建支付订单完整流程
|
||||
|
||||
Returns: {"pay_url": str, "out_trade_no": str, "amount": float}
|
||||
Raises: ValueError (token 无效), RuntimeError (API 失败)
|
||||
"""
|
||||
user_id = decode_payment_token(payment_token)
|
||||
if not user_id:
|
||||
raise ValueError("付费凭证无效或已过期,请重新登录")
|
||||
|
||||
out_trade_no = f"VG_{int(datetime.now().timestamp())}_{uuid.uuid4().hex[:8]}"
|
||||
amount = settings.PAYMENT_AMOUNT
|
||||
|
||||
create_order(user_id, out_trade_no, amount)
|
||||
|
||||
pay_url = _create_page_pay_url(out_trade_no, amount, "IPAgent 会员开通")
|
||||
if not pay_url:
|
||||
raise RuntimeError("创建支付订单失败,请稍后重试")
|
||||
|
||||
logger.info(f"用户 {user_id} 创建支付订单: {out_trade_no}")
|
||||
|
||||
return {"pay_url": pay_url, "out_trade_no": out_trade_no, "amount": amount}
|
||||
|
||||
|
||||
def handle_payment_notify(form_data: dict) -> bool:
|
||||
"""
|
||||
处理支付宝异步通知完整流程
|
||||
|
||||
Returns: True=验签通过, False=验签失败
|
||||
"""
|
||||
data = dict(form_data)
|
||||
|
||||
signature = data.pop("sign", "")
|
||||
data.pop("sign_type", None)
|
||||
|
||||
if not _verify_signature(data, signature):
|
||||
logger.warning(f"支付宝通知验签失败: {data.get('out_trade_no')}")
|
||||
return False
|
||||
|
||||
out_trade_no = data.get("out_trade_no", "")
|
||||
trade_status = data.get("trade_status", "")
|
||||
trade_no = data.get("trade_no", "")
|
||||
|
||||
logger.info(f"收到支付宝通知: {out_trade_no}, status={trade_status}, trade_no={trade_no}")
|
||||
|
||||
if trade_status not in ("TRADE_SUCCESS", "TRADE_FINISHED"):
|
||||
return True
|
||||
|
||||
order = get_order_by_trade_no(out_trade_no)
|
||||
if not order:
|
||||
logger.warning(f"订单不存在: {out_trade_no}")
|
||||
return True
|
||||
|
||||
if order["status"] == "paid":
|
||||
logger.info(f"订单已处理过: {out_trade_no}")
|
||||
return True
|
||||
|
||||
update_order_status(out_trade_no, "paid", trade_no)
|
||||
|
||||
user_id = order["user_id"]
|
||||
expires_at = (datetime.now(timezone.utc) + timedelta(days=settings.PAYMENT_EXPIRE_DAYS)).isoformat()
|
||||
update_user(user_id, {
|
||||
"is_active": True,
|
||||
"role": "user",
|
||||
"expires_at": expires_at,
|
||||
})
|
||||
|
||||
logger.success(f"用户 {user_id} 支付成功,已激活,有效期至 {expires_at}")
|
||||
return True
|
||||
|
||||
|
||||
def get_order_status(out_trade_no: str) -> str | None:
|
||||
"""查询订单支付状态"""
|
||||
order = get_order_by_trade_no(out_trade_no)
|
||||
if not order:
|
||||
return None
|
||||
return order["status"]
|
||||
@@ -1,240 +1,27 @@
|
||||
"""
|
||||
参考音频管理 API
|
||||
支持上传/列表/删除参考音频,用于 Qwen3-TTS 声音克隆
|
||||
"""
|
||||
"""参考音频管理 API"""
|
||||
from fastapi import APIRouter, UploadFile, File, Form, HTTPException, Depends
|
||||
from pydantic import BaseModel
|
||||
from typing import List, Optional
|
||||
from pathlib import Path
|
||||
from loguru import logger
|
||||
import time
|
||||
import json
|
||||
import subprocess
|
||||
import tempfile
|
||||
import os
|
||||
import re
|
||||
|
||||
from app.core.deps import get_current_user
|
||||
from app.services.storage import storage_service
|
||||
from app.core.response import success_response
|
||||
from app.modules.ref_audios.schemas import RenameRequest
|
||||
from app.modules.ref_audios import service
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
# 支持的音频格式
|
||||
ALLOWED_AUDIO_EXTENSIONS = {'.wav', '.mp3', '.m4a', '.webm', '.ogg', '.flac', '.aac'}
|
||||
|
||||
# 参考音频 bucket
|
||||
BUCKET_REF_AUDIOS = "ref-audios"
|
||||
|
||||
|
||||
class RefAudioResponse(BaseModel):
|
||||
id: str
|
||||
name: str
|
||||
path: str # signed URL for playback
|
||||
ref_text: str
|
||||
duration_sec: float
|
||||
created_at: int
|
||||
|
||||
|
||||
class RefAudioListResponse(BaseModel):
|
||||
items: List[RefAudioResponse]
|
||||
|
||||
|
||||
def sanitize_filename(filename: str) -> str:
|
||||
"""清理文件名,移除特殊字符"""
|
||||
safe_name = re.sub(r'[<>:"/\\|?*\s]', '_', filename)
|
||||
if len(safe_name) > 50:
|
||||
ext = Path(safe_name).suffix
|
||||
safe_name = safe_name[:50 - len(ext)] + ext
|
||||
return safe_name
|
||||
|
||||
|
||||
def get_audio_duration(file_path: str) -> float:
|
||||
"""获取音频时长 (秒)"""
|
||||
try:
|
||||
result = subprocess.run(
|
||||
['ffprobe', '-v', 'quiet', '-show_entries', 'format=duration',
|
||||
'-of', 'csv=p=0', file_path],
|
||||
capture_output=True, text=True, timeout=10
|
||||
)
|
||||
return float(result.stdout.strip())
|
||||
except Exception as e:
|
||||
logger.warning(f"获取音频时长失败: {e}")
|
||||
return 0.0
|
||||
|
||||
|
||||
def convert_to_wav(input_path: str, output_path: str) -> bool:
|
||||
"""将音频转换为 WAV 格式 (16kHz, mono)"""
|
||||
try:
|
||||
subprocess.run([
|
||||
'ffmpeg', '-y', '-i', input_path,
|
||||
'-ar', '16000', # 16kHz 采样率
|
||||
'-ac', '1', # 单声道
|
||||
'-acodec', 'pcm_s16le', # 16-bit PCM
|
||||
output_path
|
||||
], capture_output=True, timeout=60, check=True)
|
||||
return True
|
||||
except Exception as e:
|
||||
logger.error(f"音频转换失败: {e}")
|
||||
return False
|
||||
|
||||
|
||||
@router.post("")
|
||||
async def upload_ref_audio(
|
||||
file: UploadFile = File(...),
|
||||
ref_text: str = Form(...),
|
||||
ref_text: str = Form(""),
|
||||
user: dict = Depends(get_current_user)
|
||||
):
|
||||
"""
|
||||
上传参考音频
|
||||
|
||||
- file: 音频文件 (支持 wav, mp3, m4a, webm 等)
|
||||
- ref_text: 参考音频的转写文字 (必填)
|
||||
"""
|
||||
user_id = user["id"]
|
||||
|
||||
if not file.filename:
|
||||
raise HTTPException(status_code=400, detail="文件名无效")
|
||||
filename = file.filename
|
||||
|
||||
# 验证文件扩展名
|
||||
ext = Path(filename).suffix.lower()
|
||||
if ext not in ALLOWED_AUDIO_EXTENSIONS:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail=f"不支持的音频格式: {ext}。支持的格式: {', '.join(ALLOWED_AUDIO_EXTENSIONS)}"
|
||||
)
|
||||
|
||||
# 验证 ref_text
|
||||
if not ref_text or len(ref_text.strip()) < 2:
|
||||
raise HTTPException(status_code=400, detail="参考文字不能为空")
|
||||
|
||||
"""上传参考音频"""
|
||||
try:
|
||||
# 创建临时文件
|
||||
with tempfile.NamedTemporaryFile(delete=False, suffix=ext) as tmp_input:
|
||||
content = await file.read()
|
||||
tmp_input.write(content)
|
||||
tmp_input_path = tmp_input.name
|
||||
|
||||
# 转换为 WAV 格式
|
||||
tmp_wav_path = tmp_input_path + ".wav"
|
||||
if ext != '.wav':
|
||||
if not convert_to_wav(tmp_input_path, tmp_wav_path):
|
||||
raise HTTPException(status_code=500, detail="音频格式转换失败")
|
||||
else:
|
||||
# 即使是 wav 也要标准化格式
|
||||
convert_to_wav(tmp_input_path, tmp_wav_path)
|
||||
|
||||
# 获取音频时长
|
||||
duration = get_audio_duration(tmp_wav_path)
|
||||
if duration < 1.0:
|
||||
raise HTTPException(status_code=400, detail="音频时长过短,至少需要 1 秒")
|
||||
if duration > 60.0:
|
||||
raise HTTPException(status_code=400, detail="音频时长过长,最多 60 秒")
|
||||
|
||||
|
||||
# 3. 处理重名逻辑 (Friendly Display Name)
|
||||
original_name = filename
|
||||
|
||||
# 获取用户现有的所有参考音频列表 (为了检查文件名冲突)
|
||||
# 注意: 这种列表方式在文件极多时性能一般,但考虑到单用户参考音频数量有限,目前可行
|
||||
existing_files = await storage_service.list_files(BUCKET_REF_AUDIOS, user_id)
|
||||
existing_names = set()
|
||||
|
||||
# 预加载所有现有的 display name
|
||||
# 这里需要并发请求 metadata 可能会慢,优化: 仅检查 metadata 文件并解析
|
||||
# 简易方案: 仅在 metadata 中读取 original_filename
|
||||
# 但 list_files 返回的是 name,我们需要 metadata
|
||||
# 考虑到性能,这里使用一种妥协方案:
|
||||
# 我们不做全量检查,而是简单的检查:如果用户上传 myvoice.wav
|
||||
# 我们看看有没有 (timestamp)_myvoice.wav 这种其实并不能准确判断 display name 是否冲突
|
||||
#
|
||||
# 正确做法: 应该有个数据库表存 metadata。但目前是无数据库设计。
|
||||
#
|
||||
# 改用简单方案:
|
||||
# 既然我们无法快速获取所有 display name,
|
||||
# 我们暂时只处理 "在新上传时,original_filename 保持原样"
|
||||
# 但用户希望 "如果在列表中看到重复的,自动加(1)"
|
||||
#
|
||||
# 鉴于无数据库架构的限制,要在上传时知道"已有的 display name" 成本太高(需遍历下载所有json)。
|
||||
#
|
||||
# 💡 替代方案:
|
||||
# 我们不检查旧的。我们只保证**存储**唯一。
|
||||
# 对于用户提到的 "新上传的文件名后加个数字" -> 这通常是指 "另存为" 的逻辑。
|
||||
# 既然用户现在的痛点是 "显示了时间戳太丑",而我已经去掉了时间戳显示。
|
||||
# 那么如果用户上传两个 "TEST.wav",列表里就会有两个 "TEST.wav" (但时间不同)。
|
||||
# 这其实是可以接受的。
|
||||
#
|
||||
# 但如果用户强求 "自动重命名":
|
||||
# 我们可以在这里做一个轻量级的 "同名检测":
|
||||
# 检查有没有 *_{original_name} 的文件存在。
|
||||
# 如果 storage 里已经有 123_abc.wav, 456_abc.wav
|
||||
# 我们可以认为 abc.wav 已经存在。
|
||||
|
||||
dup_count = 0
|
||||
search_suffix = f"_{original_name}" # 比如 _test.wav
|
||||
|
||||
for f in existing_files:
|
||||
fname = f.get('name', '')
|
||||
if fname.endswith(search_suffix):
|
||||
dup_count += 1
|
||||
|
||||
final_display_name = original_name
|
||||
if dup_count > 0:
|
||||
name_stem = Path(original_name).stem
|
||||
name_ext = Path(original_name).suffix
|
||||
final_display_name = f"{name_stem}({dup_count}){name_ext}"
|
||||
|
||||
# 生成存储路径 (唯一ID)
|
||||
timestamp = int(time.time())
|
||||
safe_name = sanitize_filename(Path(filename).stem)
|
||||
storage_path = f"{user_id}/{timestamp}_{safe_name}.wav"
|
||||
|
||||
# 上传 WAV 文件到 Supabase
|
||||
with open(tmp_wav_path, 'rb') as f:
|
||||
wav_data = f.read()
|
||||
|
||||
await storage_service.upload_file(
|
||||
bucket=BUCKET_REF_AUDIOS,
|
||||
path=storage_path,
|
||||
file_data=wav_data,
|
||||
content_type="audio/wav"
|
||||
)
|
||||
|
||||
# 上传元数据 JSON
|
||||
metadata = {
|
||||
"ref_text": ref_text.strip(),
|
||||
"original_filename": final_display_name, # 这里的名字如果有重复会自动加(1)
|
||||
"duration_sec": duration,
|
||||
"created_at": timestamp
|
||||
}
|
||||
metadata_path = f"{user_id}/{timestamp}_{safe_name}.json"
|
||||
await storage_service.upload_file(
|
||||
bucket=BUCKET_REF_AUDIOS,
|
||||
path=metadata_path,
|
||||
file_data=json.dumps(metadata, ensure_ascii=False).encode('utf-8'),
|
||||
content_type="application/json"
|
||||
)
|
||||
|
||||
# 获取签名 URL
|
||||
signed_url = await storage_service.get_signed_url(BUCKET_REF_AUDIOS, storage_path)
|
||||
|
||||
# 清理临时文件
|
||||
os.unlink(tmp_input_path)
|
||||
if os.path.exists(tmp_wav_path):
|
||||
os.unlink(tmp_wav_path)
|
||||
|
||||
return success_response(RefAudioResponse(
|
||||
id=storage_path,
|
||||
name=filename,
|
||||
path=signed_url,
|
||||
ref_text=ref_text.strip(),
|
||||
duration_sec=duration,
|
||||
created_at=timestamp
|
||||
).model_dump())
|
||||
|
||||
except HTTPException:
|
||||
raise
|
||||
result = await service.upload_ref_audio(file, ref_text, user["id"])
|
||||
return success_response(result)
|
||||
except ValueError as e:
|
||||
raise HTTPException(status_code=400, detail=str(e))
|
||||
except Exception as e:
|
||||
logger.error(f"上传参考音频失败: {e}")
|
||||
raise HTTPException(status_code=500, detail=f"上传失败: {str(e)}")
|
||||
@@ -243,81 +30,9 @@ async def upload_ref_audio(
|
||||
@router.get("")
|
||||
async def list_ref_audios(user: dict = Depends(get_current_user)):
|
||||
"""列出当前用户的所有参考音频"""
|
||||
user_id = user["id"]
|
||||
|
||||
try:
|
||||
# 列出用户目录下的文件
|
||||
files = await storage_service.list_files(BUCKET_REF_AUDIOS, user_id)
|
||||
|
||||
# 过滤出 .wav 文件
|
||||
wav_files = [f for f in files if f.get("name", "").endswith(".wav")]
|
||||
|
||||
if not wav_files:
|
||||
return success_response(RefAudioListResponse(items=[]).model_dump())
|
||||
|
||||
# 并发获取所有 metadata 和签名 URL
|
||||
async def fetch_audio_info(f):
|
||||
"""获取单个音频的信息(metadata + signed URL)"""
|
||||
name = f.get("name", "")
|
||||
storage_path = f"{user_id}/{name}"
|
||||
metadata_name = name.replace(".wav", ".json")
|
||||
metadata_path = f"{user_id}/{metadata_name}"
|
||||
|
||||
ref_text = ""
|
||||
duration_sec = 0.0
|
||||
created_at = 0
|
||||
original_filename = ""
|
||||
|
||||
try:
|
||||
# 获取 metadata 内容
|
||||
metadata_url = await storage_service.get_signed_url(BUCKET_REF_AUDIOS, metadata_path)
|
||||
import httpx
|
||||
async with httpx.AsyncClient(timeout=5.0) as client:
|
||||
resp = await client.get(metadata_url)
|
||||
if resp.status_code == 200:
|
||||
metadata = resp.json()
|
||||
ref_text = metadata.get("ref_text", "")
|
||||
duration_sec = metadata.get("duration_sec", 0.0)
|
||||
created_at = metadata.get("created_at", 0)
|
||||
original_filename = metadata.get("original_filename", "")
|
||||
except Exception as e:
|
||||
logger.debug(f"读取 metadata 失败: {e}")
|
||||
# 从文件名提取时间戳
|
||||
try:
|
||||
created_at = int(name.split("_")[0])
|
||||
except:
|
||||
pass
|
||||
|
||||
# 获取音频签名 URL
|
||||
signed_url = await storage_service.get_signed_url(BUCKET_REF_AUDIOS, storage_path)
|
||||
|
||||
# 优先显示原始文件名 (去掉时间戳前缀)
|
||||
display_name = original_filename if original_filename else name
|
||||
# 如果原始文件名丢失,尝试从现有文件名中通过正则去掉时间戳
|
||||
if not display_name or display_name == name:
|
||||
# 匹配 "1234567890_filename.wav"
|
||||
match = re.match(r'^\d+_(.+)$', name)
|
||||
if match:
|
||||
display_name = match.group(1)
|
||||
|
||||
return RefAudioResponse(
|
||||
id=storage_path,
|
||||
name=display_name,
|
||||
path=signed_url,
|
||||
ref_text=ref_text,
|
||||
duration_sec=duration_sec,
|
||||
created_at=created_at
|
||||
)
|
||||
|
||||
# 使用 asyncio.gather 并发获取所有音频信息
|
||||
import asyncio
|
||||
items = await asyncio.gather(*[fetch_audio_info(f) for f in wav_files])
|
||||
|
||||
# 按创建时间倒序排列
|
||||
items = sorted(items, key=lambda x: x.created_at, reverse=True)
|
||||
|
||||
return success_response(RefAudioListResponse(items=items).model_dump())
|
||||
|
||||
result = await service.list_ref_audios(user["id"])
|
||||
return success_response(result)
|
||||
except Exception as e:
|
||||
logger.error(f"列出参考音频失败: {e}")
|
||||
raise HTTPException(status_code=500, detail=f"获取列表失败: {str(e)}")
|
||||
@@ -326,96 +41,48 @@ async def list_ref_audios(user: dict = Depends(get_current_user)):
|
||||
@router.delete("/{audio_id:path}")
|
||||
async def delete_ref_audio(audio_id: str, user: dict = Depends(get_current_user)):
|
||||
"""删除参考音频"""
|
||||
user_id = user["id"]
|
||||
|
||||
# 安全检查:确保只能删除自己的文件
|
||||
if not audio_id.startswith(f"{user_id}/"):
|
||||
raise HTTPException(status_code=403, detail="无权删除此文件")
|
||||
|
||||
try:
|
||||
# 删除 WAV 文件
|
||||
await storage_service.delete_file(BUCKET_REF_AUDIOS, audio_id)
|
||||
|
||||
# 删除 metadata JSON
|
||||
metadata_path = audio_id.replace(".wav", ".json")
|
||||
try:
|
||||
await storage_service.delete_file(BUCKET_REF_AUDIOS, metadata_path)
|
||||
except:
|
||||
pass # metadata 可能不存在
|
||||
|
||||
await service.delete_ref_audio(audio_id, user["id"])
|
||||
return success_response(message="删除成功")
|
||||
|
||||
except PermissionError as e:
|
||||
raise HTTPException(status_code=403, detail=str(e))
|
||||
except Exception as e:
|
||||
logger.error(f"删除参考音频失败: {e}")
|
||||
raise HTTPException(status_code=500, detail=f"删除失败: {str(e)}")
|
||||
|
||||
|
||||
class RenameRequest(BaseModel):
|
||||
new_name: str
|
||||
|
||||
|
||||
@router.put("/{audio_id:path}")
|
||||
async def rename_ref_audio(
|
||||
audio_id: str,
|
||||
request: RenameRequest,
|
||||
user: dict = Depends(get_current_user)
|
||||
):
|
||||
"""重命名参考音频 (修改 metadata 中的 display name)"""
|
||||
user_id = user["id"]
|
||||
|
||||
# 安全检查
|
||||
if not audio_id.startswith(f"{user_id}/"):
|
||||
raise HTTPException(status_code=403, detail="无权修改此文件")
|
||||
|
||||
new_name = request.new_name.strip()
|
||||
if not new_name:
|
||||
raise HTTPException(status_code=400, detail="新名称不能为空")
|
||||
|
||||
# 确保新名称有后缀 (保留原后缀或添加 .wav)
|
||||
if not Path(new_name).suffix:
|
||||
new_name += ".wav"
|
||||
|
||||
"""重命名参考音频"""
|
||||
try:
|
||||
# 1. 下载现有的 metadata
|
||||
metadata_path = audio_id.replace(".wav", ".json")
|
||||
try:
|
||||
# 获取已有的 JSON
|
||||
import httpx
|
||||
metadata_url = await storage_service.get_signed_url(BUCKET_REF_AUDIOS, metadata_path)
|
||||
if not metadata_url:
|
||||
# 如果 json 不存在,则需要新建一个基础的
|
||||
raise Exception("Metadata not found")
|
||||
|
||||
async with httpx.AsyncClient() as client:
|
||||
resp = await client.get(metadata_url)
|
||||
if resp.status_code == 200:
|
||||
metadata = resp.json()
|
||||
else:
|
||||
raise Exception(f"Failed to fetch metadata: {resp.status_code}")
|
||||
|
||||
except Exception as e:
|
||||
logger.warning(f"无法读取元数据: {e}, 将创建新的元数据")
|
||||
# 兜底:如果读取失败,构建最小元数据
|
||||
metadata = {
|
||||
"ref_text": "", # 可能丢失
|
||||
"duration_sec": 0.0,
|
||||
"created_at": int(time.time()),
|
||||
"original_filename": new_name
|
||||
}
|
||||
|
||||
# 2. 更新 original_filename
|
||||
metadata["original_filename"] = new_name
|
||||
|
||||
# 3. 覆盖上传 metadata
|
||||
await storage_service.upload_file(
|
||||
bucket=BUCKET_REF_AUDIOS,
|
||||
path=metadata_path,
|
||||
file_data=json.dumps(metadata, ensure_ascii=False).encode('utf-8'),
|
||||
content_type="application/json"
|
||||
)
|
||||
|
||||
return success_response({"name": new_name}, message="重命名成功")
|
||||
|
||||
result = await service.rename_ref_audio(audio_id, request.new_name, user["id"])
|
||||
return success_response(result, message="重命名成功")
|
||||
except PermissionError as e:
|
||||
raise HTTPException(status_code=403, detail=str(e))
|
||||
except ValueError as e:
|
||||
raise HTTPException(status_code=400, detail=str(e))
|
||||
except Exception as e:
|
||||
logger.error(f"重命名失败: {e}")
|
||||
raise HTTPException(status_code=500, detail=f"重命名失败: {str(e)}")
|
||||
|
||||
|
||||
@router.post("/{audio_id:path}/retranscribe")
|
||||
async def retranscribe_ref_audio(
|
||||
audio_id: str,
|
||||
user: dict = Depends(get_current_user)
|
||||
):
|
||||
"""重新识别参考音频的文字内容"""
|
||||
try:
|
||||
result = await service.retranscribe_ref_audio(audio_id, user["id"])
|
||||
return success_response(result, message="识别完成")
|
||||
except PermissionError as e:
|
||||
raise HTTPException(status_code=403, detail=str(e))
|
||||
except ValueError as e:
|
||||
raise HTTPException(status_code=400, detail=str(e))
|
||||
except Exception as e:
|
||||
logger.error(f"重新识别失败: {e}")
|
||||
raise HTTPException(status_code=500, detail=f"识别失败: {str(e)}")
|
||||
|
||||
19
backend/app/modules/ref_audios/schemas.py
Normal file
19
backend/app/modules/ref_audios/schemas.py
Normal file
@@ -0,0 +1,19 @@
|
||||
from pydantic import BaseModel
|
||||
from typing import List
|
||||
|
||||
|
||||
class RefAudioResponse(BaseModel):
|
||||
id: str
|
||||
name: str
|
||||
path: str
|
||||
ref_text: str
|
||||
duration_sec: float
|
||||
created_at: int
|
||||
|
||||
|
||||
class RefAudioListResponse(BaseModel):
|
||||
items: List[RefAudioResponse]
|
||||
|
||||
|
||||
class RenameRequest(BaseModel):
|
||||
new_name: str
|
||||
405
backend/app/modules/ref_audios/service.py
Normal file
405
backend/app/modules/ref_audios/service.py
Normal file
@@ -0,0 +1,405 @@
|
||||
import re
|
||||
import os
|
||||
import time
|
||||
import json
|
||||
import hashlib
|
||||
import asyncio
|
||||
import subprocess
|
||||
import tempfile
|
||||
import unicodedata
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
import httpx
|
||||
from loguru import logger
|
||||
|
||||
from app.services.storage import storage_service
|
||||
from app.modules.ref_audios.schemas import RefAudioResponse, RefAudioListResponse
|
||||
|
||||
ALLOWED_AUDIO_EXTENSIONS = {'.wav', '.mp3', '.m4a', '.webm', '.ogg', '.flac', '.aac'}
|
||||
BUCKET_REF_AUDIOS = "ref-audios"
|
||||
|
||||
|
||||
def sanitize_filename(filename: str) -> str:
|
||||
"""清理文件名用于 Storage key(仅保留 ASCII 安全字符)。"""
|
||||
normalized = unicodedata.normalize("NFKD", filename)
|
||||
ascii_name = normalized.encode("ascii", "ignore").decode("ascii")
|
||||
safe_name = re.sub(r"[^A-Za-z0-9._-]+", "_", ascii_name).strip("._-")
|
||||
|
||||
# 纯中文/emoji 等场景会被清空,使用稳定哈希兜底,避免 InvalidKey
|
||||
if not safe_name:
|
||||
digest = hashlib.md5(filename.encode("utf-8")).hexdigest()[:12]
|
||||
safe_name = f"audio_{digest}"
|
||||
|
||||
if len(safe_name) > 50:
|
||||
ext = Path(safe_name).suffix
|
||||
safe_name = safe_name[:50 - len(ext)] + ext
|
||||
return safe_name
|
||||
|
||||
|
||||
def _get_audio_duration(file_path: str) -> float:
|
||||
"""获取音频时长 (秒)"""
|
||||
try:
|
||||
result = subprocess.run(
|
||||
['ffprobe', '-v', 'quiet', '-show_entries', 'format=duration',
|
||||
'-of', 'csv=p=0', file_path],
|
||||
capture_output=True, text=True, timeout=10
|
||||
)
|
||||
return float(result.stdout.strip())
|
||||
except Exception as e:
|
||||
logger.warning(f"获取音频时长失败: {e}")
|
||||
return 0.0
|
||||
|
||||
|
||||
def _find_silence_cut_point(file_path: str, max_duration: float) -> float:
|
||||
"""在 max_duration 附近找一个静音点作为截取位置,找不到则回退到 max_duration"""
|
||||
try:
|
||||
# 用 silencedetect 找所有静音段(阈值 -30dB,最短 0.3 秒)
|
||||
result = subprocess.run(
|
||||
['ffmpeg', '-i', file_path, '-af',
|
||||
'silencedetect=noise=-30dB:d=0.3', '-f', 'null', '-'],
|
||||
capture_output=True, text=True, timeout=30
|
||||
)
|
||||
# 解析 silence_end 时间点
|
||||
import re as _re
|
||||
ends = [float(m) for m in _re.findall(r'silence_end:\s*([\d.]+)', result.stderr)]
|
||||
# 找 max_duration 之前最后一个静音结束点(至少 3 秒)
|
||||
candidates = [t for t in ends if 3.0 <= t <= max_duration]
|
||||
if candidates:
|
||||
cut = candidates[-1]
|
||||
logger.info(f"Found silence cut point at {cut:.1f}s (max={max_duration}s)")
|
||||
return cut
|
||||
except Exception as e:
|
||||
logger.warning(f"Silence detection failed: {e}")
|
||||
return max_duration
|
||||
|
||||
|
||||
def _convert_to_wav(input_path: str, output_path: str, max_duration: float = 0) -> bool:
|
||||
"""将音频转换为 WAV 格式 (16kHz, mono),可选截取前 max_duration 秒并淡出"""
|
||||
try:
|
||||
cmd = ['ffmpeg', '-y', '-i', input_path]
|
||||
if max_duration > 0:
|
||||
cmd += ['-t', str(max_duration)]
|
||||
# 末尾 0.1 秒淡出,避免截断爆音
|
||||
fade_start = max(0, max_duration - 0.1)
|
||||
cmd += ['-af', f'afade=t=out:st={fade_start}:d=0.1']
|
||||
cmd += ['-ar', '16000', '-ac', '1', '-acodec', 'pcm_s16le', output_path]
|
||||
subprocess.run(cmd, capture_output=True, timeout=60, check=True)
|
||||
return True
|
||||
except Exception as e:
|
||||
logger.error(f"音频转换失败: {e}")
|
||||
return False
|
||||
|
||||
|
||||
async def upload_ref_audio(file, ref_text: str, user_id: str) -> dict:
|
||||
"""上传参考音频:转码、获取时长、存储到 Supabase"""
|
||||
if not file.filename:
|
||||
raise ValueError("文件名无效")
|
||||
filename = file.filename
|
||||
|
||||
ext = Path(filename).suffix.lower()
|
||||
if ext not in ALLOWED_AUDIO_EXTENSIONS:
|
||||
raise ValueError(f"不支持的音频格式: {ext}。支持的格式: {', '.join(ALLOWED_AUDIO_EXTENSIONS)}")
|
||||
|
||||
# 创建临时文件
|
||||
with tempfile.NamedTemporaryFile(delete=False, suffix=ext) as tmp_input:
|
||||
content = await file.read()
|
||||
tmp_input.write(content)
|
||||
tmp_input_path = tmp_input.name
|
||||
|
||||
try:
|
||||
# 转换为 WAV 格式
|
||||
tmp_wav_path = tmp_input_path + ".wav"
|
||||
if not _convert_to_wav(tmp_input_path, tmp_wav_path):
|
||||
raise RuntimeError("音频格式转换失败")
|
||||
|
||||
# 获取音频时长
|
||||
duration = _get_audio_duration(tmp_wav_path)
|
||||
if duration < 1.0:
|
||||
raise ValueError("音频时长过短,至少需要 1 秒")
|
||||
|
||||
# 超过 10 秒自动在静音点截取(CosyVoice 对 3-10 秒效果最好)
|
||||
MAX_REF_DURATION = 10.0
|
||||
if duration > MAX_REF_DURATION:
|
||||
cut_point = _find_silence_cut_point(tmp_wav_path, MAX_REF_DURATION)
|
||||
logger.info(f"Ref audio {duration:.1f}s > {MAX_REF_DURATION}s, trimming at {cut_point:.1f}s")
|
||||
trimmed_path = tmp_input_path + "_trimmed.wav"
|
||||
if not _convert_to_wav(tmp_wav_path, trimmed_path, max_duration=cut_point):
|
||||
raise RuntimeError("音频截取失败")
|
||||
os.unlink(tmp_wav_path)
|
||||
tmp_wav_path = trimmed_path
|
||||
duration = _get_audio_duration(tmp_wav_path)
|
||||
|
||||
# 自动转写参考音频内容
|
||||
try:
|
||||
from app.services.whisper_service import whisper_service
|
||||
transcribed = await whisper_service.transcribe(tmp_wav_path)
|
||||
if transcribed.strip():
|
||||
ref_text = transcribed.strip()
|
||||
logger.info(f"Auto-transcribed ref audio: {ref_text[:50]}...")
|
||||
except Exception as e:
|
||||
logger.warning(f"Auto-transcribe failed: {e}")
|
||||
|
||||
if not ref_text or not ref_text.strip():
|
||||
raise ValueError("无法识别音频内容,请确保音频包含清晰的语音")
|
||||
|
||||
# 检查重名
|
||||
existing_files = await storage_service.list_files(BUCKET_REF_AUDIOS, user_id)
|
||||
dup_count = 0
|
||||
search_suffix = f"_{filename}"
|
||||
for f in existing_files:
|
||||
fname = f.get('name', '')
|
||||
if fname.endswith(search_suffix):
|
||||
dup_count += 1
|
||||
|
||||
final_display_name = filename
|
||||
if dup_count > 0:
|
||||
name_stem = Path(filename).stem
|
||||
name_ext = Path(filename).suffix
|
||||
final_display_name = f"{name_stem}({dup_count}){name_ext}"
|
||||
|
||||
# 生成存储路径
|
||||
timestamp = int(time.time())
|
||||
safe_name = sanitize_filename(Path(filename).stem)
|
||||
storage_path = f"{user_id}/{timestamp}_{safe_name}.wav"
|
||||
|
||||
# 上传 WAV 文件
|
||||
with open(tmp_wav_path, 'rb') as f:
|
||||
wav_data = f.read()
|
||||
|
||||
await storage_service.upload_file(
|
||||
bucket=BUCKET_REF_AUDIOS,
|
||||
path=storage_path,
|
||||
file_data=wav_data,
|
||||
content_type="audio/wav"
|
||||
)
|
||||
|
||||
# 上传元数据 JSON
|
||||
metadata = {
|
||||
"ref_text": ref_text.strip(),
|
||||
"original_filename": final_display_name,
|
||||
"duration_sec": duration,
|
||||
"created_at": timestamp
|
||||
}
|
||||
metadata_path = f"{user_id}/{timestamp}_{safe_name}.json"
|
||||
await storage_service.upload_file(
|
||||
bucket=BUCKET_REF_AUDIOS,
|
||||
path=metadata_path,
|
||||
file_data=json.dumps(metadata, ensure_ascii=False).encode('utf-8'),
|
||||
content_type="application/json"
|
||||
)
|
||||
|
||||
# 获取签名 URL
|
||||
signed_url = await storage_service.get_signed_url(BUCKET_REF_AUDIOS, storage_path)
|
||||
|
||||
return RefAudioResponse(
|
||||
id=storage_path,
|
||||
name=filename,
|
||||
path=signed_url,
|
||||
ref_text=ref_text.strip(),
|
||||
duration_sec=duration,
|
||||
created_at=timestamp
|
||||
).model_dump()
|
||||
|
||||
finally:
|
||||
os.unlink(tmp_input_path)
|
||||
if os.path.exists(tmp_input_path + ".wav"):
|
||||
os.unlink(tmp_input_path + ".wav")
|
||||
|
||||
|
||||
async def list_ref_audios(user_id: str) -> dict:
|
||||
"""列出用户的所有参考音频"""
|
||||
files = await storage_service.list_files(BUCKET_REF_AUDIOS, user_id)
|
||||
wav_files = [f for f in files if f.get("name", "").endswith(".wav")]
|
||||
|
||||
if not wav_files:
|
||||
return RefAudioListResponse(items=[]).model_dump()
|
||||
|
||||
async def fetch_audio_info(f):
|
||||
name = f.get("name", "")
|
||||
storage_path = f"{user_id}/{name}"
|
||||
metadata_name = name.replace(".wav", ".json")
|
||||
metadata_path = f"{user_id}/{metadata_name}"
|
||||
|
||||
ref_text = ""
|
||||
duration_sec = 0.0
|
||||
created_at = 0
|
||||
original_filename = ""
|
||||
|
||||
try:
|
||||
metadata_url = await storage_service.get_signed_url(BUCKET_REF_AUDIOS, metadata_path)
|
||||
async with httpx.AsyncClient(timeout=5.0) as client:
|
||||
resp = await client.get(metadata_url)
|
||||
if resp.status_code == 200:
|
||||
metadata = resp.json()
|
||||
ref_text = metadata.get("ref_text", "")
|
||||
duration_sec = metadata.get("duration_sec", 0.0)
|
||||
created_at = metadata.get("created_at", 0)
|
||||
original_filename = metadata.get("original_filename", "")
|
||||
except Exception as e:
|
||||
logger.debug(f"读取 metadata 失败: {e}")
|
||||
try:
|
||||
created_at = int(name.split("_")[0])
|
||||
except:
|
||||
pass
|
||||
|
||||
signed_url = await storage_service.get_signed_url(BUCKET_REF_AUDIOS, storage_path)
|
||||
|
||||
display_name = original_filename if original_filename else name
|
||||
if not display_name or display_name == name:
|
||||
match = re.match(r'^\d+_(.+)$', name)
|
||||
if match:
|
||||
display_name = match.group(1)
|
||||
|
||||
return RefAudioResponse(
|
||||
id=storage_path,
|
||||
name=display_name,
|
||||
path=signed_url,
|
||||
ref_text=ref_text,
|
||||
duration_sec=duration_sec,
|
||||
created_at=created_at
|
||||
)
|
||||
|
||||
items = await asyncio.gather(*[fetch_audio_info(f) for f in wav_files])
|
||||
items = sorted(items, key=lambda x: x.created_at, reverse=True)
|
||||
|
||||
return RefAudioListResponse(items=items).model_dump()
|
||||
|
||||
|
||||
async def delete_ref_audio(audio_id: str, user_id: str) -> None:
|
||||
"""删除参考音频及其元数据"""
|
||||
if not audio_id.startswith(f"{user_id}/"):
|
||||
raise PermissionError("无权删除此文件")
|
||||
|
||||
await storage_service.delete_file(BUCKET_REF_AUDIOS, audio_id)
|
||||
|
||||
metadata_path = audio_id.replace(".wav", ".json")
|
||||
try:
|
||||
await storage_service.delete_file(BUCKET_REF_AUDIOS, metadata_path)
|
||||
except:
|
||||
pass
|
||||
|
||||
|
||||
async def rename_ref_audio(audio_id: str, new_name: str, user_id: str) -> dict:
|
||||
"""重命名参考音频(修改 metadata 中的 display name)"""
|
||||
if not audio_id.startswith(f"{user_id}/"):
|
||||
raise PermissionError("无权修改此文件")
|
||||
|
||||
new_name = new_name.strip()
|
||||
if not new_name:
|
||||
raise ValueError("新名称不能为空")
|
||||
|
||||
if not Path(new_name).suffix:
|
||||
new_name += ".wav"
|
||||
|
||||
# 下载现有 metadata
|
||||
metadata_path = audio_id.replace(".wav", ".json")
|
||||
try:
|
||||
metadata_url = await storage_service.get_signed_url(BUCKET_REF_AUDIOS, metadata_path)
|
||||
async with httpx.AsyncClient() as client:
|
||||
resp = await client.get(metadata_url)
|
||||
if resp.status_code == 200:
|
||||
metadata = resp.json()
|
||||
else:
|
||||
raise Exception(f"Failed to fetch metadata: {resp.status_code}")
|
||||
except Exception as e:
|
||||
logger.warning(f"无法读取元数据: {e}, 将创建新的元数据")
|
||||
metadata = {
|
||||
"ref_text": "",
|
||||
"duration_sec": 0.0,
|
||||
"created_at": int(time.time()),
|
||||
"original_filename": new_name
|
||||
}
|
||||
|
||||
# 更新并覆盖上传
|
||||
metadata["original_filename"] = new_name
|
||||
await storage_service.upload_file(
|
||||
bucket=BUCKET_REF_AUDIOS,
|
||||
path=metadata_path,
|
||||
file_data=json.dumps(metadata, ensure_ascii=False).encode('utf-8'),
|
||||
content_type="application/json"
|
||||
)
|
||||
|
||||
return {"name": new_name}
|
||||
|
||||
|
||||
async def retranscribe_ref_audio(audio_id: str, user_id: str) -> dict:
|
||||
"""重新转写参考音频的 ref_text,并截取前 10 秒重新上传(用于迁移旧数据)"""
|
||||
if not audio_id.startswith(f"{user_id}/"):
|
||||
raise PermissionError("无权修改此文件")
|
||||
|
||||
# 下载音频到临时文件
|
||||
audio_url = await storage_service.get_signed_url(BUCKET_REF_AUDIOS, audio_id)
|
||||
tmp_wav_path = None
|
||||
trimmed_path = None
|
||||
try:
|
||||
with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp:
|
||||
tmp_wav_path = tmp.name
|
||||
timeout = httpx.Timeout(None)
|
||||
async with httpx.AsyncClient(timeout=timeout) as client:
|
||||
async with client.stream("GET", audio_url) as resp:
|
||||
resp.raise_for_status()
|
||||
async for chunk in resp.aiter_bytes():
|
||||
tmp.write(chunk)
|
||||
|
||||
# 超过 10 秒则截取前 10 秒并重新上传音频
|
||||
MAX_REF_DURATION = 10.0
|
||||
duration = _get_audio_duration(tmp_wav_path)
|
||||
transcribe_path = tmp_wav_path
|
||||
need_reupload = False
|
||||
|
||||
if duration > MAX_REF_DURATION:
|
||||
cut_point = _find_silence_cut_point(tmp_wav_path, MAX_REF_DURATION)
|
||||
logger.info(f"Retranscribe: trimming {audio_id} from {duration:.1f}s at {cut_point:.1f}s")
|
||||
trimmed_path = tmp_wav_path + "_trimmed.wav"
|
||||
if _convert_to_wav(tmp_wav_path, trimmed_path, max_duration=cut_point):
|
||||
transcribe_path = trimmed_path
|
||||
duration = _get_audio_duration(trimmed_path)
|
||||
need_reupload = True
|
||||
|
||||
# Whisper 转写
|
||||
from app.services.whisper_service import whisper_service
|
||||
transcribed = await whisper_service.transcribe(transcribe_path)
|
||||
if not transcribed or not transcribed.strip():
|
||||
raise ValueError("无法识别音频内容")
|
||||
|
||||
ref_text = transcribed.strip()
|
||||
logger.info(f"Re-transcribed ref audio {audio_id}: {ref_text[:50]}...")
|
||||
|
||||
# 截取过的音频重新上传覆盖原文件
|
||||
if need_reupload and trimmed_path:
|
||||
with open(trimmed_path, "rb") as f:
|
||||
await storage_service.upload_file(
|
||||
bucket=BUCKET_REF_AUDIOS, path=audio_id,
|
||||
file_data=f.read(), content_type="audio/wav",
|
||||
)
|
||||
logger.info(f"Re-uploaded trimmed audio: {audio_id} ({duration:.1f}s)")
|
||||
|
||||
# 更新 metadata
|
||||
metadata_path = audio_id.replace(".wav", ".json")
|
||||
try:
|
||||
meta_url = await storage_service.get_signed_url(BUCKET_REF_AUDIOS, metadata_path)
|
||||
async with httpx.AsyncClient(timeout=5.0) as client:
|
||||
resp = await client.get(meta_url)
|
||||
if resp.status_code == 200:
|
||||
metadata = resp.json()
|
||||
else:
|
||||
raise Exception(f"status {resp.status_code}")
|
||||
except Exception:
|
||||
metadata = {}
|
||||
|
||||
metadata["ref_text"] = ref_text
|
||||
metadata["duration_sec"] = duration
|
||||
await storage_service.upload_file(
|
||||
bucket=BUCKET_REF_AUDIOS,
|
||||
path=metadata_path,
|
||||
file_data=json.dumps(metadata, ensure_ascii=False).encode('utf-8'),
|
||||
content_type="application/json"
|
||||
)
|
||||
|
||||
return {"ref_text": ref_text, "duration_sec": duration}
|
||||
finally:
|
||||
if tmp_wav_path and os.path.exists(tmp_wav_path):
|
||||
os.unlink(tmp_wav_path)
|
||||
if trimmed_path and os.path.exists(trimmed_path):
|
||||
os.unlink(trimmed_path)
|
||||
@@ -1,417 +1,33 @@
|
||||
from fastapi import APIRouter, UploadFile, File, Form, HTTPException
|
||||
from typing import Optional, Any, cast
|
||||
import asyncio
|
||||
import shutil
|
||||
import os
|
||||
import time
|
||||
from pathlib import Path
|
||||
from loguru import logger
|
||||
from typing import Optional
|
||||
import traceback
|
||||
import re
|
||||
import json
|
||||
import requests
|
||||
from urllib.parse import unquote
|
||||
from loguru import logger
|
||||
|
||||
from app.services.whisper_service import whisper_service
|
||||
from app.services.glm_service import glm_service
|
||||
from app.core.response import success_response
|
||||
from app.modules.tools import service
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
|
||||
@router.post("/extract-script")
|
||||
async def extract_script_tool(
|
||||
file: Optional[UploadFile] = File(None),
|
||||
url: Optional[str] = Form(None),
|
||||
rewrite: bool = Form(True)
|
||||
rewrite: bool = Form(True),
|
||||
custom_prompt: Optional[str] = Form(None)
|
||||
):
|
||||
"""
|
||||
独立文案提取工具
|
||||
支持上传视频/音频 OR 输入视频链接 -> 提取文字 -> (可选) AI洗稿
|
||||
"""
|
||||
if not file and not url:
|
||||
raise HTTPException(400, "必须提供文件或视频链接")
|
||||
|
||||
temp_path = None
|
||||
"""独立文案提取工具"""
|
||||
try:
|
||||
timestamp = int(time.time())
|
||||
temp_dir = Path("/tmp")
|
||||
if os.name == 'nt':
|
||||
temp_dir = Path("d:/tmp")
|
||||
temp_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# 1. 获取/保存文件
|
||||
loop = asyncio.get_event_loop()
|
||||
|
||||
if file:
|
||||
filename = file.filename
|
||||
if not filename:
|
||||
raise HTTPException(400, "文件名无效")
|
||||
safe_filename = Path(filename).name.replace(" ", "_")
|
||||
temp_path = temp_dir / f"tool_extract_{timestamp}_{safe_filename}"
|
||||
# 文件 I/O 放入线程池
|
||||
await loop.run_in_executor(None, lambda: shutil.copyfileobj(file.file, open(temp_path, "wb")))
|
||||
logger.info(f"Tool processing upload file: {temp_path}")
|
||||
else:
|
||||
if not url:
|
||||
raise HTTPException(400, "必须提供视频链接")
|
||||
url_value: str = url
|
||||
# URL 下载逻辑
|
||||
# 自动提取文案中的链接 (支持 Douyin/Bilibili 等分享文案)
|
||||
url_match = re.search(r'https?://[^\s]+', url_value)
|
||||
if url_match:
|
||||
extracted_url = url_match.group(0)
|
||||
logger.info(f"Extracted URL from text: {extracted_url}")
|
||||
url_value = extracted_url
|
||||
|
||||
logger.info(f"Tool downloading URL: {url_value}")
|
||||
|
||||
# 封装 yt-dlp 下载函数 (Blocking)
|
||||
def _download_yt_dlp():
|
||||
import yt_dlp
|
||||
logger.info("Attempting download with yt-dlp...")
|
||||
|
||||
ydl_opts = {
|
||||
'format': 'bestaudio/best',
|
||||
'outtmpl': str(temp_dir / f"tool_download_{timestamp}_%(id)s.%(ext)s"),
|
||||
'quiet': True,
|
||||
'no_warnings': True,
|
||||
'http_headers': {
|
||||
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
|
||||
'Referer': 'https://www.douyin.com/',
|
||||
}
|
||||
}
|
||||
|
||||
with yt_dlp.YoutubeDL() as ydl_raw:
|
||||
ydl: Any = ydl_raw
|
||||
ydl.params.update(ydl_opts)
|
||||
info = ydl.extract_info(url_value, download=True)
|
||||
if 'requested_downloads' in info:
|
||||
downloaded_file = info['requested_downloads'][0]['filepath']
|
||||
else:
|
||||
ext = info.get('ext', 'mp4')
|
||||
id = info.get('id')
|
||||
downloaded_file = str(temp_dir / f"tool_download_{timestamp}_{id}.{ext}")
|
||||
|
||||
return Path(downloaded_file)
|
||||
|
||||
# 先尝试 yt-dlp (Run in Executor)
|
||||
try:
|
||||
temp_path = await loop.run_in_executor(None, _download_yt_dlp)
|
||||
logger.info(f"yt-dlp downloaded to: {temp_path}")
|
||||
|
||||
except Exception as e:
|
||||
logger.warning(f"yt-dlp download failed: {e}. Trying manual Douyin fallback...")
|
||||
|
||||
# 失败则尝试手动解析 (Douyin Fallback)
|
||||
if "douyin" in url_value:
|
||||
manual_path = await download_douyin_manual(url_value, temp_dir, timestamp)
|
||||
if manual_path:
|
||||
temp_path = manual_path
|
||||
logger.info(f"Manual Douyin fallback successful: {temp_path}")
|
||||
else:
|
||||
raise HTTPException(400, f"视频下载失败。yt-dlp 报错: {str(e)}")
|
||||
elif "bilibili" in url_value:
|
||||
manual_path = await download_bilibili_manual(url_value, temp_dir, timestamp)
|
||||
if manual_path:
|
||||
temp_path = manual_path
|
||||
logger.info(f"Manual Bilibili fallback successful: {temp_path}")
|
||||
else:
|
||||
raise HTTPException(400, f"视频下载失败。yt-dlp 报错: {str(e)}")
|
||||
else:
|
||||
raise HTTPException(400, f"视频下载失败: {str(e)}")
|
||||
|
||||
if not temp_path or not temp_path.exists():
|
||||
raise HTTPException(400, "文件获取失败")
|
||||
|
||||
# 1.5 安全转换: 强制转为 WAV (16k)
|
||||
import subprocess
|
||||
audio_path = temp_dir / f"extract_audio_{timestamp}.wav"
|
||||
|
||||
def _convert_audio():
|
||||
try:
|
||||
convert_cmd = [
|
||||
'ffmpeg',
|
||||
'-i', str(temp_path),
|
||||
'-vn', # 忽略视频
|
||||
'-acodec', 'pcm_s16le',
|
||||
'-ar', '16000', # Whisper 推荐采样率
|
||||
'-ac', '1', # 单声道
|
||||
'-y', # 覆盖
|
||||
str(audio_path)
|
||||
]
|
||||
# 捕获 stderr
|
||||
subprocess.run(convert_cmd, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
|
||||
return True
|
||||
except subprocess.CalledProcessError as e:
|
||||
error_log = e.stderr.decode('utf-8', errors='ignore') if e.stderr else str(e)
|
||||
logger.error(f"FFmpeg check/convert failed: {error_log}")
|
||||
# 检查是否为 HTML
|
||||
head = b""
|
||||
try:
|
||||
with open(temp_path, 'rb') as f:
|
||||
head = f.read(100)
|
||||
except: pass
|
||||
if b'<!DOCTYPE html' in head or b'<html' in head:
|
||||
raise ValueError("HTML_DETECTED")
|
||||
raise ValueError("CONVERT_FAILED")
|
||||
|
||||
# 执行转换 (Run in Executor)
|
||||
try:
|
||||
await loop.run_in_executor(None, _convert_audio)
|
||||
logger.info(f"Converted to WAV: {audio_path}")
|
||||
target_path = audio_path
|
||||
except ValueError as ve:
|
||||
if str(ve) == "HTML_DETECTED":
|
||||
raise HTTPException(400, "下载的文件是网页而非视频,请重试或手动上传。")
|
||||
else:
|
||||
raise HTTPException(400, "下载的文件已损坏或格式无法识别。")
|
||||
|
||||
# 2. 提取文案 (Whisper)
|
||||
script = await whisper_service.transcribe(str(target_path))
|
||||
|
||||
# 3. AI 洗稿 (GLM)
|
||||
rewritten = None
|
||||
if rewrite:
|
||||
if script and len(script.strip()) > 0:
|
||||
logger.info("Rewriting script...")
|
||||
rewritten = await glm_service.rewrite_script(script)
|
||||
else:
|
||||
logger.warning("No script extracted, skipping rewrite")
|
||||
|
||||
return success_response({
|
||||
"original_script": script,
|
||||
"rewritten_script": rewritten
|
||||
})
|
||||
|
||||
except HTTPException as he:
|
||||
raise he
|
||||
result = await service.extract_script(file=file, url=url, rewrite=rewrite, custom_prompt=custom_prompt)
|
||||
return success_response(result)
|
||||
except ValueError as e:
|
||||
raise HTTPException(400, str(e))
|
||||
except HTTPException:
|
||||
raise
|
||||
except Exception as e:
|
||||
logger.error(f"Tool extract failed: {e}")
|
||||
logger.error(traceback.format_exc())
|
||||
|
||||
# Friendly error message
|
||||
msg = str(e)
|
||||
if "Fresh cookies" in msg:
|
||||
msg = "下载失败:目标平台开启了反爬验证,请过段时间重试或直接上传视频文件。"
|
||||
|
||||
raise HTTPException(500, f"提取失败: {msg}")
|
||||
finally:
|
||||
# 清理临时文件
|
||||
if temp_path and temp_path.exists():
|
||||
try:
|
||||
os.remove(temp_path)
|
||||
logger.info(f"Cleaned up temp file: {temp_path}")
|
||||
except Exception as e:
|
||||
logger.warning(f"Failed to cleanup temp file {temp_path}: {e}")
|
||||
|
||||
|
||||
async def download_douyin_manual(url: str, temp_dir: Path, timestamp: int) -> Optional[Path]:
|
||||
"""
|
||||
手动下载抖音视频 (Fallback logic - Ported from SuperIPAgent/douyinDownloader)
|
||||
使用特定的 User Profile URL 和硬编码 Cookie 绕过反爬
|
||||
"""
|
||||
import httpx
|
||||
|
||||
logger.info(f"[SuperIPAgent] Starting download for: {url}")
|
||||
|
||||
try:
|
||||
# 1. 提取 Modal ID (支持短链跳转)
|
||||
headers = {
|
||||
"user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36"
|
||||
}
|
||||
|
||||
# 如果是短链或重定向 - 使用异步 httpx
|
||||
async with httpx.AsyncClient(follow_redirects=True, timeout=10.0) as client:
|
||||
resp = await client.get(url, headers=headers)
|
||||
final_url = str(resp.url)
|
||||
|
||||
logger.info(f"[SuperIPAgent] Final URL: {final_url}")
|
||||
|
||||
modal_id = None
|
||||
match = re.search(r'/video/(\d+)', final_url)
|
||||
if match:
|
||||
modal_id = match.group(1)
|
||||
|
||||
if not modal_id:
|
||||
logger.error("[SuperIPAgent] Could not extract modal_id")
|
||||
return None
|
||||
|
||||
logger.info(f"[SuperIPAgent] Extracted modal_id: {modal_id}")
|
||||
|
||||
# 2. 构造特定请求 URL (Copy from SuperIPAgent)
|
||||
# 使用特定用户的 Profile 页 + modal_id 参数,配合特定 Cookie
|
||||
target_url = f"https://www.douyin.com/user/MS4wLjABAAAAN_s_hups7LD0N4qnrM3o2gI0vuG3pozNaEolz2_py3cHTTrpVr1Z4dukFD9SOlwY?from_tab_name=main&modal_id={modal_id}"
|
||||
|
||||
# 3. 使用配置的 Cookie (从环境变量 DOUYIN_COOKIE 读取)
|
||||
from app.core.config import settings
|
||||
if not settings.DOUYIN_COOKIE:
|
||||
logger.warning("[SuperIPAgent] DOUYIN_COOKIE 未配置,视频下载可能失败")
|
||||
|
||||
headers_with_cookie = {
|
||||
"accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7",
|
||||
"cookie": settings.DOUYIN_COOKIE,
|
||||
"user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36",
|
||||
}
|
||||
|
||||
logger.info(f"[SuperIPAgent] Requesting page with Cookie...")
|
||||
|
||||
async with httpx.AsyncClient(timeout=10.0) as client:
|
||||
response = await client.get(target_url, headers=headers_with_cookie)
|
||||
|
||||
# 4. 解析 RENDER_DATA
|
||||
content_match = re.findall(r'<script id="RENDER_DATA" type="application/json">(.*?)</script>', response.text)
|
||||
if not content_match:
|
||||
# 尝试解码后再查找?或者结构变了
|
||||
# 再尝试找 SSR_HYDRATED_DATA
|
||||
if "SSR_HYDRATED_DATA" in response.text:
|
||||
content_match = re.findall(r'<script id="SSR_HYDRATED_DATA" type="application/json">(.*?)</script>', response.text)
|
||||
|
||||
if not content_match:
|
||||
logger.error(f"[SuperIPAgent] Could not find RENDER_DATA in page (len={len(response.text)})")
|
||||
return None
|
||||
|
||||
content = unquote(content_match[0])
|
||||
try:
|
||||
data = json.loads(content)
|
||||
except:
|
||||
logger.error("[SuperIPAgent] JSON decode failed")
|
||||
return None
|
||||
|
||||
# 5. 提取视频流
|
||||
video_url = None
|
||||
try:
|
||||
# 路径通常是: app -> videoDetail -> video -> bitRateList -> playAddr -> src
|
||||
if "app" in data and "videoDetail" in data["app"]:
|
||||
info = data["app"]["videoDetail"]["video"]
|
||||
if "bitRateList" in info and info["bitRateList"]:
|
||||
video_url = info["bitRateList"][0]["playAddr"][0]["src"]
|
||||
elif "playAddr" in info and info["playAddr"]:
|
||||
video_url = info["playAddr"][0]["src"]
|
||||
except Exception as e:
|
||||
logger.error(f"[SuperIPAgent] Path extraction failed: {e}")
|
||||
|
||||
if not video_url:
|
||||
logger.error("[SuperIPAgent] No video_url found")
|
||||
return None
|
||||
|
||||
if video_url.startswith("//"):
|
||||
video_url = "https:" + video_url
|
||||
|
||||
logger.info(f"[SuperIPAgent] Found video URL: {video_url[:50]}...")
|
||||
|
||||
# 6. 下载 (带 Header) - 使用异步 httpx
|
||||
temp_path = temp_dir / f"douyin_manual_{timestamp}.mp4"
|
||||
download_headers = {
|
||||
'Referer': 'https://www.douyin.com/',
|
||||
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36',
|
||||
}
|
||||
|
||||
async with httpx.AsyncClient(timeout=60.0) as client:
|
||||
async with client.stream("GET", video_url, headers=download_headers) as dl_resp:
|
||||
if dl_resp.status_code == 200:
|
||||
with open(temp_path, 'wb') as f:
|
||||
async for chunk in dl_resp.aiter_bytes(chunk_size=8192):
|
||||
f.write(chunk)
|
||||
|
||||
logger.info(f"[SuperIPAgent] Downloaded successfully: {temp_path}")
|
||||
return temp_path
|
||||
else:
|
||||
logger.error(f"[SuperIPAgent] Download failed: {dl_resp.status_code}")
|
||||
return None
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[SuperIPAgent] Logic failed: {e}")
|
||||
return None
|
||||
|
||||
async def download_bilibili_manual(url: str, temp_dir: Path, timestamp: int) -> Optional[Path]:
|
||||
"""
|
||||
手动下载 Bilibili 视频 (Fallback logic - Playwright Version)
|
||||
B站通常音视频分离,这里只提取音频即可(因为只需要文案)
|
||||
"""
|
||||
from playwright.async_api import async_playwright
|
||||
|
||||
logger.info(f"[Playwright] Starting Bilibili download for: {url}")
|
||||
|
||||
playwright = None
|
||||
browser = None
|
||||
try:
|
||||
playwright = await async_playwright().start()
|
||||
# Launch browser (ensure chromium is installed: playwright install chromium)
|
||||
browser = await playwright.chromium.launch(headless=True, args=['--no-sandbox', '--disable-setuid-sandbox'])
|
||||
|
||||
# Mobile User Agent often gives single stream?
|
||||
# But Bilibili mobile web is tricky. Desktop is fine.
|
||||
context = await browser.new_context(
|
||||
user_agent="Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
|
||||
)
|
||||
|
||||
page = await context.new_page()
|
||||
|
||||
# Intercept audio responses?
|
||||
# Bilibili streams are usually .m4s
|
||||
# But finding the initial state is easier.
|
||||
|
||||
logger.info("[Playwright] Navigating to Bilibili...")
|
||||
await page.goto(url, timeout=45000)
|
||||
|
||||
# Wait for video element (triggers loading)
|
||||
try:
|
||||
await page.wait_for_selector('video', timeout=15000)
|
||||
except:
|
||||
logger.warning("[Playwright] Video selector timeout")
|
||||
|
||||
# 1. Try extracting from __playinfo__
|
||||
# window.__playinfo__ contains dash streams
|
||||
playinfo = await page.evaluate("window.__playinfo__")
|
||||
|
||||
audio_url = None
|
||||
|
||||
if playinfo and "data" in playinfo and "dash" in playinfo["data"]:
|
||||
dash = playinfo["data"]["dash"]
|
||||
if "audio" in dash and dash["audio"]:
|
||||
audio_url = dash["audio"][0]["baseUrl"]
|
||||
logger.info(f"[Playwright] Found audio stream in __playinfo__: {audio_url[:50]}...")
|
||||
|
||||
# 2. If playinfo fails, try extracting video src (sometimes it's a blob, which we can't fetch easily without interception)
|
||||
# But interception is complex. Let's try requests with Referer if we have URL.
|
||||
|
||||
if not audio_url:
|
||||
logger.warning("[Playwright] Could not find audio in __playinfo__")
|
||||
return None
|
||||
|
||||
# Download the audio stream
|
||||
temp_path = temp_dir / f"bilibili_audio_{timestamp}.m4s" # usually m4s
|
||||
|
||||
try:
|
||||
api_request = context.request
|
||||
headers = {
|
||||
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
|
||||
"Referer": "https://www.bilibili.com/"
|
||||
}
|
||||
|
||||
logger.info(f"[Playwright] Downloading audio stream...")
|
||||
response = await api_request.get(audio_url, headers=headers)
|
||||
|
||||
if response.status == 200:
|
||||
body = await response.body()
|
||||
with open(temp_path, 'wb') as f:
|
||||
f.write(body)
|
||||
|
||||
logger.info(f"[Playwright] Downloaded successfully: {temp_path}")
|
||||
return temp_path
|
||||
else:
|
||||
logger.error(f"[Playwright] API Request failed: {response.status}")
|
||||
return None
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[Playwright] Download logic error: {e}")
|
||||
return None
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[Playwright] Bilibili download failed: {e}")
|
||||
return None
|
||||
finally:
|
||||
if browser:
|
||||
await browser.close()
|
||||
if playwright:
|
||||
await playwright.stop()
|
||||
|
||||
7
backend/app/modules/tools/schemas.py
Normal file
7
backend/app/modules/tools/schemas.py
Normal file
@@ -0,0 +1,7 @@
|
||||
from pydantic import BaseModel
|
||||
from typing import Optional
|
||||
|
||||
|
||||
class ExtractScriptResponse(BaseModel):
|
||||
original_script: Optional[str] = None
|
||||
rewritten_script: Optional[str] = None
|
||||
350
backend/app/modules/tools/service.py
Normal file
350
backend/app/modules/tools/service.py
Normal file
@@ -0,0 +1,350 @@
|
||||
import asyncio
|
||||
import os
|
||||
import re
|
||||
import json
|
||||
import time
|
||||
import shutil
|
||||
import subprocess
|
||||
import traceback
|
||||
from pathlib import Path
|
||||
from typing import Optional, Any
|
||||
from urllib.parse import unquote
|
||||
|
||||
import httpx
|
||||
from loguru import logger
|
||||
|
||||
from app.services.whisper_service import whisper_service
|
||||
from app.services.glm_service import glm_service
|
||||
|
||||
|
||||
async def extract_script(file=None, url: Optional[str] = None, rewrite: bool = True, custom_prompt: Optional[str] = None) -> dict:
|
||||
"""
|
||||
文案提取:上传文件或视频链接 -> Whisper 转写 -> (可选) GLM 改写
|
||||
"""
|
||||
if not file and not url:
|
||||
raise ValueError("必须提供文件或视频链接")
|
||||
|
||||
temp_path = None
|
||||
try:
|
||||
timestamp = int(time.time())
|
||||
temp_dir = Path("/tmp")
|
||||
if os.name == 'nt':
|
||||
temp_dir = Path("d:/tmp")
|
||||
temp_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
loop = asyncio.get_event_loop()
|
||||
|
||||
# 1. 获取/保存文件
|
||||
if file:
|
||||
filename = file.filename
|
||||
if not filename:
|
||||
raise ValueError("文件名无效")
|
||||
safe_filename = Path(filename).name.replace(" ", "_")
|
||||
temp_path = temp_dir / f"tool_extract_{timestamp}_{safe_filename}"
|
||||
await loop.run_in_executor(None, lambda: shutil.copyfileobj(file.file, open(temp_path, "wb")))
|
||||
logger.info(f"Tool processing upload file: {temp_path}")
|
||||
else:
|
||||
temp_path = await _download_video(url, temp_dir, timestamp)
|
||||
|
||||
if not temp_path or not temp_path.exists():
|
||||
raise ValueError("文件获取失败")
|
||||
|
||||
# 1.5 安全转换: 强制转为 WAV (16k)
|
||||
audio_path = temp_dir / f"extract_audio_{timestamp}.wav"
|
||||
try:
|
||||
await loop.run_in_executor(None, lambda: _convert_to_wav(temp_path, audio_path))
|
||||
logger.info(f"Converted to WAV: {audio_path}")
|
||||
except ValueError as ve:
|
||||
if str(ve) == "HTML_DETECTED":
|
||||
raise ValueError("下载的文件是网页而非视频,请重试或手动上传。")
|
||||
else:
|
||||
raise ValueError("下载的文件已损坏或格式无法识别。")
|
||||
|
||||
# 2. 提取文案 (Whisper)
|
||||
script = await whisper_service.transcribe(str(audio_path))
|
||||
|
||||
# 3. AI 改写 (GLM)
|
||||
rewritten = None
|
||||
if rewrite and script and len(script.strip()) > 0:
|
||||
logger.info("Rewriting script...")
|
||||
rewritten = await glm_service.rewrite_script(script, custom_prompt)
|
||||
|
||||
return {
|
||||
"original_script": script,
|
||||
"rewritten_script": rewritten
|
||||
}
|
||||
|
||||
finally:
|
||||
if temp_path and temp_path.exists():
|
||||
try:
|
||||
os.remove(temp_path)
|
||||
logger.info(f"Cleaned up temp file: {temp_path}")
|
||||
except Exception as e:
|
||||
logger.warning(f"Failed to cleanup temp file {temp_path}: {e}")
|
||||
|
||||
|
||||
def _convert_to_wav(input_path: Path, output_path: Path) -> None:
|
||||
"""FFmpeg 转换为 16k WAV"""
|
||||
try:
|
||||
convert_cmd = [
|
||||
'ffmpeg',
|
||||
'-i', str(input_path),
|
||||
'-vn',
|
||||
'-acodec', 'pcm_s16le',
|
||||
'-ar', '16000',
|
||||
'-ac', '1',
|
||||
'-y',
|
||||
str(output_path)
|
||||
]
|
||||
subprocess.run(convert_cmd, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
|
||||
except subprocess.CalledProcessError as e:
|
||||
error_log = e.stderr.decode('utf-8', errors='ignore') if e.stderr else str(e)
|
||||
logger.error(f"FFmpeg check/convert failed: {error_log}")
|
||||
head = b""
|
||||
try:
|
||||
with open(input_path, 'rb') as f:
|
||||
head = f.read(100)
|
||||
except:
|
||||
pass
|
||||
if b'<!DOCTYPE html' in head or b'<html' in head:
|
||||
raise ValueError("HTML_DETECTED")
|
||||
raise ValueError("CONVERT_FAILED")
|
||||
|
||||
|
||||
async def _download_video(url: str, temp_dir: Path, timestamp: int) -> Path:
|
||||
"""下载视频(yt-dlp 优先,失败回退手动解析)"""
|
||||
url_value = url
|
||||
url_match = re.search(r'https?://[^\s]+', url_value)
|
||||
if url_match:
|
||||
extracted_url = url_match.group(0)
|
||||
logger.info(f"Extracted URL from text: {extracted_url}")
|
||||
url_value = extracted_url
|
||||
|
||||
logger.info(f"Tool downloading URL: {url_value}")
|
||||
loop = asyncio.get_event_loop()
|
||||
|
||||
# 先尝试 yt-dlp
|
||||
try:
|
||||
temp_path = await loop.run_in_executor(None, lambda: _download_yt_dlp(url_value, temp_dir, timestamp))
|
||||
logger.info(f"yt-dlp downloaded to: {temp_path}")
|
||||
return temp_path
|
||||
except Exception as e:
|
||||
logger.warning(f"yt-dlp download failed: {e}. Trying manual fallback...")
|
||||
|
||||
if "douyin" in url_value:
|
||||
manual_path = await _download_douyin_manual(url_value, temp_dir, timestamp)
|
||||
if manual_path:
|
||||
return manual_path
|
||||
raise ValueError(f"视频下载失败。yt-dlp 报错: {str(e)}")
|
||||
elif "bilibili" in url_value:
|
||||
manual_path = await _download_bilibili_manual(url_value, temp_dir, timestamp)
|
||||
if manual_path:
|
||||
return manual_path
|
||||
raise ValueError(f"视频下载失败。yt-dlp 报错: {str(e)}")
|
||||
else:
|
||||
raise ValueError(f"视频下载失败: {str(e)}")
|
||||
|
||||
|
||||
def _download_yt_dlp(url_value: str, temp_dir: Path, timestamp: int) -> Path:
|
||||
"""yt-dlp 下载(阻塞调用,应在线程池中运行)"""
|
||||
import yt_dlp
|
||||
logger.info("Attempting download with yt-dlp...")
|
||||
|
||||
ydl_opts = {
|
||||
'format': 'bestaudio/best',
|
||||
'outtmpl': str(temp_dir / f"tool_download_{timestamp}_%(id)s.%(ext)s"),
|
||||
'quiet': True,
|
||||
'no_warnings': True,
|
||||
'http_headers': {
|
||||
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36',
|
||||
'Referer': 'https://www.douyin.com/',
|
||||
}
|
||||
}
|
||||
|
||||
with yt_dlp.YoutubeDL(ydl_opts) as ydl:
|
||||
info = ydl.extract_info(url_value, download=True)
|
||||
if 'requested_downloads' in info:
|
||||
downloaded_file = info['requested_downloads'][0]['filepath']
|
||||
else:
|
||||
ext = info.get('ext', 'mp4')
|
||||
vid_id = info.get('id')
|
||||
downloaded_file = str(temp_dir / f"tool_download_{timestamp}_{vid_id}.{ext}")
|
||||
|
||||
return Path(downloaded_file)
|
||||
|
||||
|
||||
async def _download_douyin_manual(url: str, temp_dir: Path, timestamp: int) -> Optional[Path]:
|
||||
"""手动下载抖音视频 (Fallback) — 通过移动端分享页获取播放地址"""
|
||||
logger.info(f"[douyin-fallback] Starting download for: {url}")
|
||||
|
||||
try:
|
||||
# 1. 解析短链接,提取视频 ID
|
||||
headers = {
|
||||
"user-agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 16_0 like Mac OS X) AppleWebKit/605.1.15"
|
||||
}
|
||||
|
||||
async with httpx.AsyncClient(follow_redirects=True, timeout=10.0) as client:
|
||||
resp = await client.get(url, headers=headers)
|
||||
final_url = str(resp.url)
|
||||
|
||||
logger.info(f"[douyin-fallback] Final URL: {final_url}")
|
||||
|
||||
video_id = None
|
||||
match = re.search(r'/video/(\d+)', final_url)
|
||||
if match:
|
||||
video_id = match.group(1)
|
||||
|
||||
if not video_id:
|
||||
logger.error("[douyin-fallback] Could not extract video_id")
|
||||
return None
|
||||
|
||||
logger.info(f"[douyin-fallback] Extracted video_id: {video_id}")
|
||||
|
||||
# 2. 获取新鲜 ttwid
|
||||
ttwid = ""
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=10.0) as client:
|
||||
ttwid_resp = await client.post(
|
||||
"https://ttwid.bytedance.com/ttwid/union/register/",
|
||||
json={
|
||||
"region": "cn", "aid": 6383, "needFid": False,
|
||||
"service": "www.douyin.com",
|
||||
"migrate_info": {"ticket": "", "source": "node"},
|
||||
"cbUrlProtocol": "https", "union": True,
|
||||
}
|
||||
)
|
||||
ttwid = ttwid_resp.cookies.get("ttwid", "")
|
||||
logger.info(f"[douyin-fallback] Got fresh ttwid (len={len(ttwid)})")
|
||||
except Exception as e:
|
||||
logger.warning(f"[douyin-fallback] Failed to get ttwid: {e}")
|
||||
|
||||
# 3. 访问移动端分享页提取播放地址
|
||||
page_headers = {
|
||||
"user-agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 16_0 like Mac OS X) AppleWebKit/605.1.15",
|
||||
"cookie": f"ttwid={ttwid}" if ttwid else "",
|
||||
}
|
||||
|
||||
async with httpx.AsyncClient(follow_redirects=True, timeout=15.0) as client:
|
||||
page_resp = await client.get(
|
||||
f"https://m.douyin.com/share/video/{video_id}",
|
||||
headers=page_headers,
|
||||
)
|
||||
|
||||
page_text = page_resp.text
|
||||
logger.info(f"[douyin-fallback] Mobile page length: {len(page_text)}")
|
||||
|
||||
# 4. 提取 play_addr
|
||||
addr_match = re.search(
|
||||
r'"play_addr":\{"uri":"([^"]+)","url_list":\["([^"]+)"',
|
||||
page_text,
|
||||
)
|
||||
if not addr_match:
|
||||
logger.error("[douyin-fallback] Could not find play_addr in mobile page")
|
||||
return None
|
||||
|
||||
video_url = addr_match.group(2).replace(r"\u002F", "/")
|
||||
if video_url.startswith("//"):
|
||||
video_url = "https:" + video_url
|
||||
|
||||
logger.info(f"[douyin-fallback] Found video URL: {video_url[:80]}...")
|
||||
|
||||
# 5. 下载视频
|
||||
temp_path = temp_dir / f"douyin_manual_{timestamp}.mp4"
|
||||
download_headers = {
|
||||
"Referer": "https://www.douyin.com/",
|
||||
"User-Agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 16_0 like Mac OS X) AppleWebKit/605.1.15",
|
||||
}
|
||||
|
||||
async with httpx.AsyncClient(timeout=120.0, follow_redirects=True) as client:
|
||||
async with client.stream("GET", video_url, headers=download_headers) as dl_resp:
|
||||
if dl_resp.status_code == 200:
|
||||
with open(temp_path, "wb") as f:
|
||||
async for chunk in dl_resp.aiter_bytes(chunk_size=8192):
|
||||
f.write(chunk)
|
||||
|
||||
logger.info(f"[douyin-fallback] Downloaded successfully: {temp_path}")
|
||||
return temp_path
|
||||
else:
|
||||
logger.error(f"[douyin-fallback] Download failed: {dl_resp.status_code}")
|
||||
return None
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[douyin-fallback] Logic failed: {e}")
|
||||
return None
|
||||
|
||||
|
||||
async def _download_bilibili_manual(url: str, temp_dir: Path, timestamp: int) -> Optional[Path]:
|
||||
"""手动下载 Bilibili 视频 (Playwright Fallback)"""
|
||||
from playwright.async_api import async_playwright
|
||||
|
||||
logger.info(f"[Playwright] Starting Bilibili download for: {url}")
|
||||
|
||||
playwright = None
|
||||
browser = None
|
||||
try:
|
||||
playwright = await async_playwright().start()
|
||||
browser = await playwright.chromium.launch(headless=True, args=['--no-sandbox', '--disable-setuid-sandbox'])
|
||||
|
||||
context = await browser.new_context(
|
||||
user_agent="Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
|
||||
)
|
||||
|
||||
page = await context.new_page()
|
||||
|
||||
logger.info("[Playwright] Navigating to Bilibili...")
|
||||
await page.goto(url, timeout=45000)
|
||||
|
||||
try:
|
||||
await page.wait_for_selector('video', timeout=15000)
|
||||
except:
|
||||
logger.warning("[Playwright] Video selector timeout")
|
||||
|
||||
playinfo = await page.evaluate("window.__playinfo__")
|
||||
|
||||
audio_url = None
|
||||
|
||||
if playinfo and "data" in playinfo and "dash" in playinfo["data"]:
|
||||
dash = playinfo["data"]["dash"]
|
||||
if "audio" in dash and dash["audio"]:
|
||||
audio_url = dash["audio"][0]["baseUrl"]
|
||||
logger.info(f"[Playwright] Found audio stream in __playinfo__: {audio_url[:50]}...")
|
||||
|
||||
if not audio_url:
|
||||
logger.warning("[Playwright] Could not find audio in __playinfo__")
|
||||
return None
|
||||
|
||||
temp_path = temp_dir / f"bilibili_audio_{timestamp}.m4s"
|
||||
|
||||
try:
|
||||
api_request = context.request
|
||||
headers = {
|
||||
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
|
||||
"Referer": "https://www.bilibili.com/"
|
||||
}
|
||||
|
||||
logger.info(f"[Playwright] Downloading audio stream...")
|
||||
response = await api_request.get(audio_url, headers=headers)
|
||||
|
||||
if response.status == 200:
|
||||
body = await response.body()
|
||||
with open(temp_path, 'wb') as f:
|
||||
f.write(body)
|
||||
|
||||
logger.info(f"[Playwright] Downloaded successfully: {temp_path}")
|
||||
return temp_path
|
||||
else:
|
||||
logger.error(f"[Playwright] API Request failed: {response.status}")
|
||||
return None
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[Playwright] Download logic error: {e}")
|
||||
return None
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[Playwright] Bilibili download failed: {e}")
|
||||
return None
|
||||
finally:
|
||||
if browser:
|
||||
await browser.close()
|
||||
if playwright:
|
||||
await playwright.stop()
|
||||
@@ -1,19 +1,40 @@
|
||||
from pydantic import BaseModel
|
||||
from typing import Optional
|
||||
from typing import Optional, List, Literal
|
||||
|
||||
|
||||
class CustomAssignment(BaseModel):
|
||||
material_path: str
|
||||
start: float # 音频时间轴起点
|
||||
end: float # 音频时间轴终点
|
||||
source_start: float = 0.0 # 源视频截取起点
|
||||
source_end: Optional[float] = None # 源视频截取终点(可选)
|
||||
|
||||
|
||||
class GenerateRequest(BaseModel):
|
||||
text: str
|
||||
voice: str = "zh-CN-YunxiNeural"
|
||||
material_path: str
|
||||
material_paths: Optional[List[str]] = None
|
||||
tts_mode: str = "edgetts"
|
||||
ref_audio_id: Optional[str] = None
|
||||
ref_text: Optional[str] = None
|
||||
language: str = "zh-CN"
|
||||
generated_audio_id: Optional[str] = None # 预生成配音 ID(存在时跳过内联 TTS)
|
||||
title: Optional[str] = None
|
||||
title_display_mode: Literal["short", "persistent"] = "short"
|
||||
title_duration: float = 4.0
|
||||
enable_subtitles: bool = True
|
||||
subtitle_style_id: Optional[str] = None
|
||||
title_style_id: Optional[str] = None
|
||||
secondary_title: Optional[str] = None
|
||||
secondary_title_style_id: Optional[str] = None
|
||||
secondary_title_font_size: Optional[int] = None
|
||||
secondary_title_top_margin: Optional[int] = None
|
||||
subtitle_font_size: Optional[int] = None
|
||||
title_font_size: Optional[int] = None
|
||||
title_top_margin: Optional[int] = None
|
||||
subtitle_bottom_margin: Optional[int] = None
|
||||
bgm_id: Optional[str] = None
|
||||
bgm_volume: Optional[float] = 0.2
|
||||
custom_assignments: Optional[List[CustomAssignment]] = None
|
||||
output_aspect_ratio: Literal["9:16", "16:9"] = "9:16"
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from typing import Optional, Any
|
||||
from typing import Optional, Any, List
|
||||
from pathlib import Path
|
||||
import time
|
||||
import traceback
|
||||
@@ -24,6 +24,17 @@ from .schemas import GenerateRequest
|
||||
from .task_store import task_store
|
||||
|
||||
|
||||
def _locale_to_whisper_lang(locale: str) -> str:
|
||||
"""'en-US' → 'en', 'zh-CN' → 'zh'"""
|
||||
return locale.split("-")[0] if "-" in locale else locale
|
||||
|
||||
|
||||
def _locale_to_tts_lang(locale: str) -> str:
|
||||
"""'zh-CN' → 'Chinese', 'en-US' → 'English', 其他 → 'Auto'"""
|
||||
mapping = {"zh": "Chinese", "en": "English"}
|
||||
return mapping.get(locale.split("-")[0], "Auto")
|
||||
|
||||
|
||||
_lipsync_service: Optional[LipSyncService] = None
|
||||
_lipsync_ready: Optional[bool] = None
|
||||
_lipsync_last_check: float = 0
|
||||
@@ -79,26 +90,162 @@ def _update_task(task_id: str, **updates: Any) -> None:
|
||||
task_store.update(task_id, updates)
|
||||
|
||||
|
||||
# ── 多素材辅助函数 ──
|
||||
|
||||
|
||||
def _split_equal(segments: List[dict], material_paths: List[str]) -> List[dict]:
|
||||
"""按素材数量均分音频时长,对齐到最近的 Whisper 字边界。
|
||||
|
||||
Args:
|
||||
segments: Whisper 产出的 segment 列表, 每个包含 words (字级时间戳)
|
||||
material_paths: 素材路径列表
|
||||
|
||||
Returns:
|
||||
[{"material_path": "...", "start": 0.0, "end": 5.2, "index": 0}, ...]
|
||||
"""
|
||||
# 展平所有 Whisper 字符
|
||||
all_chars: List[dict] = []
|
||||
for seg in segments:
|
||||
for w in seg.get("words", []):
|
||||
all_chars.append(w)
|
||||
|
||||
n = len(material_paths)
|
||||
|
||||
if not all_chars or n == 0:
|
||||
return [{"material_path": material_paths[0] if material_paths else "",
|
||||
"start": 0.0, "end": 99999.0, "index": 0}]
|
||||
|
||||
# 素材数不能超过字符数,否则边界会重复
|
||||
if n > len(all_chars):
|
||||
logger.warning(f"[MultiMat] 素材数({n}) > 字符数({len(all_chars)}),裁剪为 {len(all_chars)}")
|
||||
n = len(all_chars)
|
||||
|
||||
total_start = all_chars[0]["start"]
|
||||
total_end = all_chars[-1]["end"]
|
||||
seg_dur = (total_end - total_start) / n
|
||||
|
||||
# 计算 N-1 个分割点,对齐到最近的字边界
|
||||
boundaries = [0] # 第一段从第 0 个字开始
|
||||
for i in range(1, n):
|
||||
target_time = total_start + i * seg_dur
|
||||
# 找到 start 时间最接近 target_time 的字
|
||||
best_idx = boundaries[-1] + 1 # 至少比上一个边界后移 1
|
||||
best_diff = float("inf")
|
||||
for j in range(boundaries[-1] + 1, len(all_chars)):
|
||||
diff = abs(all_chars[j]["start"] - target_time)
|
||||
if diff < best_diff:
|
||||
best_diff = diff
|
||||
best_idx = j
|
||||
elif diff > best_diff:
|
||||
break # 时间递增,差值开始变大后可以停了
|
||||
boundaries.append(min(best_idx, len(all_chars) - 1))
|
||||
boundaries.append(len(all_chars)) # 最后一段到末尾
|
||||
|
||||
# 按边界生成分配结果
|
||||
assignments: List[dict] = []
|
||||
for i in range(n):
|
||||
s_idx = boundaries[i]
|
||||
e_idx = boundaries[i + 1]
|
||||
if s_idx >= len(all_chars) or s_idx >= e_idx:
|
||||
continue
|
||||
assignments.append({
|
||||
"material_path": material_paths[i],
|
||||
"start": all_chars[s_idx]["start"],
|
||||
"end": all_chars[e_idx - 1]["end"],
|
||||
"text": "".join(c["word"] for c in all_chars[s_idx:e_idx]),
|
||||
"index": len(assignments),
|
||||
})
|
||||
|
||||
if not assignments:
|
||||
return [{"material_path": material_paths[0], "start": 0.0, "end": 99999.0, "index": 0}]
|
||||
|
||||
logger.info(f"[MultiMat] 均分 {len(all_chars)} 字为 {len(assignments)} 段")
|
||||
for a in assignments:
|
||||
dur = a["end"] - a["start"]
|
||||
logger.info(f" 段{a['index']}: [{a['start']:.2f}-{a['end']:.2f}s] ({dur:.1f}s) {a['text'][:20]}")
|
||||
|
||||
return assignments
|
||||
|
||||
|
||||
async def process_video_generation(task_id: str, req: GenerateRequest, user_id: str):
|
||||
temp_files = []
|
||||
try:
|
||||
start_time = time.time()
|
||||
|
||||
# ── 确定素材列表 ──
|
||||
material_paths: List[str] = []
|
||||
if req.custom_assignments and len(req.custom_assignments) > 1:
|
||||
material_paths = [a.material_path for a in req.custom_assignments if a.material_path]
|
||||
elif req.material_paths and len(req.material_paths) > 1:
|
||||
material_paths = req.material_paths
|
||||
else:
|
||||
material_paths = [req.material_path]
|
||||
|
||||
is_multi = len(material_paths) > 1
|
||||
target_resolution = (1080, 1920) if req.output_aspect_ratio == "9:16" else (1920, 1080)
|
||||
|
||||
logger.info(
|
||||
f"[Render] 输出画面比例: {req.output_aspect_ratio}, "
|
||||
f"目标分辨率: {target_resolution[0]}x{target_resolution[1]}"
|
||||
)
|
||||
|
||||
_update_task(task_id, status="processing", progress=5, message="正在下载素材...")
|
||||
|
||||
temp_dir = settings.UPLOAD_DIR / "temp"
|
||||
temp_dir.mkdir(parents=True, exist_ok=True)
|
||||
video = VideoService()
|
||||
input_material_path: Optional[Path] = None
|
||||
|
||||
input_material_path = temp_dir / f"{task_id}_input.mp4"
|
||||
temp_files.append(input_material_path)
|
||||
# 单素材模式:下载主素材
|
||||
if not is_multi:
|
||||
input_material_path = temp_dir / f"{task_id}_input.mp4"
|
||||
temp_files.append(input_material_path)
|
||||
await _download_material(material_paths[0], input_material_path)
|
||||
|
||||
await _download_material(req.material_path, input_material_path)
|
||||
# 归一化旋转元数据(如 iPhone MOV 1920x1080 + rotation=-90)
|
||||
normalized_input_path = temp_dir / f"{task_id}_input_norm.mp4"
|
||||
normalized_result = video.normalize_orientation(
|
||||
str(input_material_path),
|
||||
str(normalized_input_path),
|
||||
)
|
||||
if normalized_result != str(input_material_path):
|
||||
temp_files.append(normalized_input_path)
|
||||
input_material_path = normalized_input_path
|
||||
|
||||
_update_task(task_id, message="正在生成语音...", progress=10)
|
||||
|
||||
audio_path = temp_dir / f"{task_id}_audio.wav"
|
||||
temp_files.append(audio_path)
|
||||
|
||||
if req.tts_mode == "voiceclone":
|
||||
if req.generated_audio_id:
|
||||
# 新流程:使用预生成的配音
|
||||
_update_task(task_id, message="正在下载配音...", progress=12)
|
||||
audio_url = await storage_service.get_signed_url(
|
||||
bucket="generated-audios",
|
||||
path=req.generated_audio_id,
|
||||
)
|
||||
await _download_material(audio_url, audio_path)
|
||||
|
||||
# 从元数据获取 language
|
||||
meta_path = req.generated_audio_id.replace("_audio.wav", "_audio.json")
|
||||
try:
|
||||
meta_url = await storage_service.get_signed_url(
|
||||
bucket="generated-audios", path=meta_path,
|
||||
)
|
||||
import httpx as _httpx
|
||||
async with _httpx.AsyncClient(timeout=5.0) as client:
|
||||
resp = await client.get(meta_url)
|
||||
if resp.status_code == 200:
|
||||
meta = resp.json()
|
||||
req.language = meta.get("language", req.language)
|
||||
# 无条件用配音元数据覆盖文案,确保字幕与配音语言一致
|
||||
meta_text = meta.get("text", "")
|
||||
if meta_text:
|
||||
req.text = meta_text
|
||||
except Exception as e:
|
||||
logger.warning(f"读取配音元数据失败: {e}")
|
||||
|
||||
elif req.tts_mode == "voiceclone":
|
||||
if not req.ref_audio_id or not req.ref_text:
|
||||
raise ValueError("声音克隆模式需要提供参考音频和参考文字")
|
||||
|
||||
@@ -113,13 +260,13 @@ async def process_video_generation(task_id: str, req: GenerateRequest, user_id:
|
||||
)
|
||||
await _download_material(ref_audio_url, ref_audio_local)
|
||||
|
||||
_update_task(task_id, message="正在克隆声音 (Qwen3-TTS)...")
|
||||
_update_task(task_id, message="正在克隆声音...")
|
||||
await voice_clone_service.generate_audio(
|
||||
text=req.text,
|
||||
ref_audio_path=str(ref_audio_local),
|
||||
ref_text=req.ref_text,
|
||||
output_path=str(audio_path),
|
||||
language="Chinese"
|
||||
language=_locale_to_tts_lang(req.language)
|
||||
)
|
||||
else:
|
||||
_update_task(task_id, message="正在生成语音 (EdgeTTS)...")
|
||||
@@ -128,52 +275,306 @@ async def process_video_generation(task_id: str, req: GenerateRequest, user_id:
|
||||
|
||||
tts_time = time.time() - start_time
|
||||
print(f"[Pipeline] TTS completed in {tts_time:.1f}s")
|
||||
_update_task(task_id, progress=25)
|
||||
|
||||
_update_task(task_id, message="正在合成唇形 (LatentSync)...", progress=30)
|
||||
|
||||
lipsync = _get_lipsync_service()
|
||||
lipsync_video_path = temp_dir / f"{task_id}_lipsync.mp4"
|
||||
temp_files.append(lipsync_video_path)
|
||||
|
||||
lipsync_start = time.time()
|
||||
is_ready = await _check_lipsync_ready()
|
||||
|
||||
if is_ready:
|
||||
print(f"[LipSync] Starting LatentSync inference...")
|
||||
_update_task(task_id, progress=35, message="正在运行 LatentSync 推理...")
|
||||
await lipsync.generate(str(input_material_path), str(audio_path), str(lipsync_video_path))
|
||||
else:
|
||||
print(f"[LipSync] LatentSync not ready, copying original video")
|
||||
_update_task(task_id, message="唇形同步不可用,使用原始视频...")
|
||||
import shutil
|
||||
shutil.copy(str(input_material_path), lipsync_video_path)
|
||||
|
||||
lipsync_time = time.time() - lipsync_start
|
||||
print(f"[Pipeline] LipSync completed in {lipsync_time:.1f}s")
|
||||
_update_task(task_id, progress=80)
|
||||
|
||||
captions_path = None
|
||||
if req.enable_subtitles:
|
||||
_update_task(task_id, message="正在生成字幕 (Whisper)...", progress=82)
|
||||
|
||||
captions_path = temp_dir / f"{task_id}_captions.json"
|
||||
temp_files.append(captions_path)
|
||||
if is_multi:
|
||||
# ══════════════════════════════════════
|
||||
# 多素材流水线
|
||||
# ══════════════════════════════════════
|
||||
_update_task(task_id, progress=12, message="正在分配素材...")
|
||||
|
||||
try:
|
||||
await whisper_service.align(
|
||||
audio_path=str(audio_path),
|
||||
text=req.text,
|
||||
output_path=str(captions_path)
|
||||
if req.custom_assignments and len(req.custom_assignments) == len(material_paths):
|
||||
# 用户自定义分配,跳过 Whisper 均分
|
||||
assignments = [
|
||||
{
|
||||
"material_path": a.material_path,
|
||||
"start": a.start,
|
||||
"end": a.end,
|
||||
"source_start": a.source_start,
|
||||
"source_end": a.source_end,
|
||||
"index": i,
|
||||
}
|
||||
for i, a in enumerate(req.custom_assignments)
|
||||
]
|
||||
# 仍然需要 Whisper 生成字幕(如果启用)
|
||||
captions_path = temp_dir / f"{task_id}_captions.json"
|
||||
temp_files.append(captions_path)
|
||||
if req.enable_subtitles:
|
||||
_update_task(task_id, message="正在生成字幕 (Whisper)...")
|
||||
try:
|
||||
await whisper_service.align(
|
||||
audio_path=str(audio_path),
|
||||
text=req.text,
|
||||
output_path=str(captions_path),
|
||||
language=_locale_to_whisper_lang(req.language),
|
||||
original_text=req.text,
|
||||
)
|
||||
print(f"[Pipeline] Whisper alignment completed (custom assignments)")
|
||||
except Exception as e:
|
||||
logger.warning(f"Whisper alignment failed: {e}")
|
||||
captions_path = None
|
||||
else:
|
||||
captions_path = None
|
||||
elif req.custom_assignments:
|
||||
logger.warning(
|
||||
f"[MultiMat] custom_assignments 数量({len(req.custom_assignments)})"
|
||||
f" 与素材数量({len(material_paths)})不一致,回退自动分配"
|
||||
)
|
||||
print(f"[Pipeline] Whisper alignment completed")
|
||||
except Exception as e:
|
||||
logger.warning(f"Whisper alignment failed, skipping subtitles: {e}")
|
||||
|
||||
# 原有逻辑:Whisper → _split_equal
|
||||
_update_task(task_id, message="正在生成字幕 (Whisper)...")
|
||||
|
||||
captions_path = temp_dir / f"{task_id}_captions.json"
|
||||
temp_files.append(captions_path)
|
||||
|
||||
try:
|
||||
captions_data = await whisper_service.align(
|
||||
audio_path=str(audio_path),
|
||||
text=req.text,
|
||||
output_path=str(captions_path),
|
||||
language=_locale_to_whisper_lang(req.language),
|
||||
original_text=req.text,
|
||||
)
|
||||
print(f"[Pipeline] Whisper alignment completed (multi-material)")
|
||||
except Exception as e:
|
||||
logger.warning(f"Whisper alignment failed: {e}")
|
||||
captions_data = None
|
||||
captions_path = None
|
||||
|
||||
_update_task(task_id, progress=15, message="正在分配素材...")
|
||||
|
||||
if captions_data and captions_data.get("segments"):
|
||||
assignments = _split_equal(captions_data["segments"], material_paths)
|
||||
else:
|
||||
# Whisper 失败 → 按时长均分(不依赖字符对齐)
|
||||
logger.warning("[MultiMat] Whisper 无数据,按时长均分")
|
||||
audio_dur = video._get_duration(str(audio_path))
|
||||
if audio_dur <= 0:
|
||||
audio_dur = 30.0 # 安全兜底
|
||||
seg_dur = audio_dur / len(material_paths)
|
||||
assignments = [
|
||||
{"material_path": material_paths[i], "start": i * seg_dur,
|
||||
"end": (i + 1) * seg_dur, "index": i}
|
||||
for i in range(len(material_paths))
|
||||
]
|
||||
|
||||
else:
|
||||
# 原有逻辑:Whisper → _split_equal
|
||||
_update_task(task_id, message="正在生成字幕 (Whisper)...")
|
||||
|
||||
captions_path = temp_dir / f"{task_id}_captions.json"
|
||||
temp_files.append(captions_path)
|
||||
|
||||
try:
|
||||
captions_data = await whisper_service.align(
|
||||
audio_path=str(audio_path),
|
||||
text=req.text,
|
||||
output_path=str(captions_path),
|
||||
language=_locale_to_whisper_lang(req.language),
|
||||
original_text=req.text,
|
||||
)
|
||||
print(f"[Pipeline] Whisper alignment completed (multi-material)")
|
||||
except Exception as e:
|
||||
logger.warning(f"Whisper alignment failed: {e}")
|
||||
captions_data = None
|
||||
captions_path = None
|
||||
|
||||
_update_task(task_id, progress=15, message="正在分配素材...")
|
||||
|
||||
if captions_data and captions_data.get("segments"):
|
||||
assignments = _split_equal(captions_data["segments"], material_paths)
|
||||
else:
|
||||
# Whisper 失败 → 按时长均分(不依赖字符对齐)
|
||||
logger.warning("[MultiMat] Whisper 无数据,按时长均分")
|
||||
audio_dur = video._get_duration(str(audio_path))
|
||||
if audio_dur <= 0:
|
||||
audio_dur = 30.0 # 安全兜底
|
||||
seg_dur = audio_dur / len(material_paths)
|
||||
assignments = [
|
||||
{"material_path": material_paths[i], "start": i * seg_dur,
|
||||
"end": (i + 1) * seg_dur, "index": i}
|
||||
for i in range(len(material_paths))
|
||||
]
|
||||
|
||||
# 扩展段覆盖完整音频范围:首段从0开始,末段到音频结尾
|
||||
audio_duration = video._get_duration(str(audio_path))
|
||||
if assignments and audio_duration > 0:
|
||||
assignments[0]["start"] = 0.0
|
||||
assignments[-1]["end"] = audio_duration
|
||||
|
||||
num_segments = len(assignments)
|
||||
print(f"[Pipeline] Multi-material: {num_segments} segments, {len(material_paths)} materials")
|
||||
|
||||
if num_segments == 0:
|
||||
raise RuntimeError("Multi-material: no valid segments after splitting")
|
||||
|
||||
lipsync_start = time.time()
|
||||
|
||||
# ── 第一步:下载所有素材并检测分辨率 ──
|
||||
material_locals: List[Path] = []
|
||||
resolutions = []
|
||||
|
||||
for i, assignment in enumerate(assignments):
|
||||
material_local = temp_dir / f"{task_id}_material_{i}.mp4"
|
||||
temp_files.append(material_local)
|
||||
await _download_material(assignment["material_path"], material_local)
|
||||
|
||||
# 归一化旋转元数据,确保分辨率判断与后续推理一致
|
||||
normalized_material = temp_dir / f"{task_id}_material_{i}_norm.mp4"
|
||||
normalized_result = video.normalize_orientation(
|
||||
str(material_local),
|
||||
str(normalized_material),
|
||||
)
|
||||
if normalized_result != str(material_local):
|
||||
temp_files.append(normalized_material)
|
||||
material_local = normalized_material
|
||||
|
||||
material_locals.append(material_local)
|
||||
resolutions.append(video.get_resolution(str(material_local)))
|
||||
|
||||
# 按用户选择的画面比例统一分辨率
|
||||
base_res = target_resolution
|
||||
need_scale = any(r != base_res for r in resolutions)
|
||||
if need_scale:
|
||||
logger.info(f"[MultiMat] 素材分辨率不一致,统一到 {base_res[0]}x{base_res[1]}")
|
||||
|
||||
# ── 第二步:裁剪每段素材到对应时长 ──
|
||||
prepared_segments: List[Path] = []
|
||||
|
||||
for i, assignment in enumerate(assignments):
|
||||
seg_progress = 15 + int((i / num_segments) * 30) # 15% → 45%
|
||||
seg_dur = assignment["end"] - assignment["start"]
|
||||
_update_task(
|
||||
task_id,
|
||||
progress=seg_progress,
|
||||
message=f"正在准备素材 {i+1}/{num_segments}..."
|
||||
)
|
||||
|
||||
prepared_path = temp_dir / f"{task_id}_prepared_{i}.mp4"
|
||||
temp_files.append(prepared_path)
|
||||
video.prepare_segment(
|
||||
str(material_locals[i]), seg_dur, str(prepared_path),
|
||||
# 多素材拼接前统一重编码为同分辨率/同编码,避免 concat 仅保留首段
|
||||
target_resolution=base_res,
|
||||
source_start=assignment.get("source_start", 0.0),
|
||||
source_end=assignment.get("source_end"),
|
||||
target_fps=25,
|
||||
)
|
||||
prepared_segments.append(prepared_path)
|
||||
|
||||
# ── 第二步:拼接所有素材片段 ──
|
||||
_update_task(task_id, progress=50, message="正在拼接素材片段...")
|
||||
concat_path = temp_dir / f"{task_id}_concat.mp4"
|
||||
temp_files.append(concat_path)
|
||||
video.concat_videos(
|
||||
[str(p) for p in prepared_segments],
|
||||
str(concat_path),
|
||||
target_fps=25,
|
||||
)
|
||||
|
||||
# ── 第三步:一次 LatentSync 推理 ──
|
||||
is_ready = await _check_lipsync_ready()
|
||||
|
||||
if is_ready:
|
||||
_update_task(task_id, progress=55, message="正在合成唇形 (LatentSync)...")
|
||||
print(f"[LipSync] Multi-material: single LatentSync on concatenated video")
|
||||
try:
|
||||
await lipsync.generate(str(concat_path), str(audio_path), str(lipsync_video_path))
|
||||
except Exception as e:
|
||||
logger.warning(f"[LipSync] Failed, fallback to concat without lipsync: {e}")
|
||||
import shutil
|
||||
shutil.copy(str(concat_path), str(lipsync_video_path))
|
||||
else:
|
||||
print(f"[LipSync] Not ready, using concatenated video without lipsync")
|
||||
import shutil
|
||||
shutil.copy(str(concat_path), str(lipsync_video_path))
|
||||
|
||||
lipsync_time = time.time() - lipsync_start
|
||||
print(f"[Pipeline] Multi-material prepare + concat + LipSync completed in {lipsync_time:.1f}s")
|
||||
_update_task(task_id, progress=80)
|
||||
|
||||
# 如果用户关闭了字幕,清除 captions_path(Whisper 仅用于句子切分)
|
||||
if not req.enable_subtitles:
|
||||
captions_path = None
|
||||
|
||||
else:
|
||||
# ══════════════════════════════════════
|
||||
# 单素材流水线(原有逻辑)
|
||||
# ══════════════════════════════════════
|
||||
|
||||
if input_material_path is None:
|
||||
raise RuntimeError("单素材流程缺少输入素材")
|
||||
|
||||
# 单素材:按用户选择画面比例统一到目标分辨率,并应用 source_start
|
||||
single_source_start = 0.0
|
||||
single_source_end = None
|
||||
if req.custom_assignments and len(req.custom_assignments) == 1:
|
||||
single_source_start = req.custom_assignments[0].source_start
|
||||
single_source_end = req.custom_assignments[0].source_end
|
||||
|
||||
_update_task(task_id, progress=20, message="正在准备素材片段...")
|
||||
audio_dur = video._get_duration(str(audio_path))
|
||||
if audio_dur <= 0:
|
||||
audio_dur = 30.0
|
||||
prepared_single_path = temp_dir / f"{task_id}_prepared_single.mp4"
|
||||
temp_files.append(prepared_single_path)
|
||||
video.prepare_segment(
|
||||
str(input_material_path),
|
||||
audio_dur,
|
||||
str(prepared_single_path),
|
||||
target_resolution=target_resolution,
|
||||
source_start=single_source_start,
|
||||
source_end=single_source_end,
|
||||
)
|
||||
input_material_path = prepared_single_path
|
||||
|
||||
_update_task(task_id, progress=25)
|
||||
_update_task(task_id, message="正在合成唇形 (LatentSync)...", progress=30)
|
||||
|
||||
lipsync_start = time.time()
|
||||
is_ready = await _check_lipsync_ready()
|
||||
|
||||
if is_ready:
|
||||
print(f"[LipSync] Starting LatentSync inference...")
|
||||
_update_task(task_id, progress=35, message="正在运行 LatentSync 推理...")
|
||||
await lipsync.generate(str(input_material_path), str(audio_path), str(lipsync_video_path))
|
||||
else:
|
||||
print(f"[LipSync] LatentSync not ready, copying original video")
|
||||
_update_task(task_id, message="唇形同步不可用,使用原始视频...")
|
||||
import shutil
|
||||
shutil.copy(str(input_material_path), lipsync_video_path)
|
||||
|
||||
lipsync_time = time.time() - lipsync_start
|
||||
print(f"[Pipeline] LipSync completed in {lipsync_time:.1f}s")
|
||||
_update_task(task_id, progress=80)
|
||||
|
||||
# 单素材模式:Whisper 在 LatentSync 之后
|
||||
if req.enable_subtitles:
|
||||
_update_task(task_id, message="正在生成字幕 (Whisper)...", progress=82)
|
||||
|
||||
captions_path = temp_dir / f"{task_id}_captions.json"
|
||||
temp_files.append(captions_path)
|
||||
|
||||
try:
|
||||
await whisper_service.align(
|
||||
audio_path=str(audio_path),
|
||||
text=req.text,
|
||||
output_path=str(captions_path),
|
||||
language=_locale_to_whisper_lang(req.language),
|
||||
original_text=req.text,
|
||||
)
|
||||
print(f"[Pipeline] Whisper alignment completed")
|
||||
except Exception as e:
|
||||
logger.warning(f"Whisper alignment failed, skipping subtitles: {e}")
|
||||
captions_path = None
|
||||
|
||||
_update_task(task_id, progress=85)
|
||||
|
||||
video = VideoService()
|
||||
final_audio_path = audio_path
|
||||
if req.bgm_id:
|
||||
_update_task(task_id, message="正在合成背景音乐...", progress=86)
|
||||
@@ -197,14 +598,17 @@ async def process_video_generation(task_id: str, req: GenerateRequest, user_id:
|
||||
else:
|
||||
logger.warning(f"BGM not found: {req.bgm_id}")
|
||||
|
||||
use_remotion = (captions_path and captions_path.exists()) or req.title
|
||||
use_remotion = (captions_path and captions_path.exists()) or req.title or req.secondary_title
|
||||
|
||||
subtitle_style = None
|
||||
title_style = None
|
||||
secondary_title_style = None
|
||||
if req.enable_subtitles:
|
||||
subtitle_style = get_style("subtitle", req.subtitle_style_id) or get_default_style("subtitle")
|
||||
if req.title:
|
||||
title_style = get_style("title", req.title_style_id) or get_default_style("title")
|
||||
if req.secondary_title:
|
||||
secondary_title_style = get_style("title", req.secondary_title_style_id) or get_default_style("title")
|
||||
|
||||
if req.subtitle_font_size and req.enable_subtitles:
|
||||
if subtitle_style is None:
|
||||
@@ -216,6 +620,26 @@ async def process_video_generation(task_id: str, req: GenerateRequest, user_id:
|
||||
title_style = {}
|
||||
title_style["font_size"] = int(req.title_font_size)
|
||||
|
||||
if req.title_top_margin is not None and req.title:
|
||||
if title_style is None:
|
||||
title_style = {}
|
||||
title_style["top_margin"] = int(req.title_top_margin)
|
||||
|
||||
if req.subtitle_bottom_margin is not None and req.enable_subtitles:
|
||||
if subtitle_style is None:
|
||||
subtitle_style = {}
|
||||
subtitle_style["bottom_margin"] = int(req.subtitle_bottom_margin)
|
||||
|
||||
if req.secondary_title_font_size and req.secondary_title:
|
||||
if secondary_title_style is None:
|
||||
secondary_title_style = {}
|
||||
secondary_title_style["font_size"] = int(req.secondary_title_font_size)
|
||||
|
||||
if req.secondary_title_top_margin is not None and req.secondary_title:
|
||||
if secondary_title_style is None:
|
||||
secondary_title_style = {}
|
||||
secondary_title_style["top_margin"] = int(req.secondary_title_top_margin)
|
||||
|
||||
if use_remotion:
|
||||
subtitle_style = prepare_style_for_remotion(
|
||||
subtitle_style,
|
||||
@@ -227,6 +651,11 @@ async def process_video_generation(task_id: str, req: GenerateRequest, user_id:
|
||||
temp_dir,
|
||||
f"{task_id}_title_font"
|
||||
)
|
||||
secondary_title_style = prepare_style_for_remotion(
|
||||
secondary_title_style,
|
||||
temp_dir,
|
||||
f"{task_id}_secondary_title_font"
|
||||
)
|
||||
|
||||
final_output_local_path = temp_dir / f"{task_id}_output.mp4"
|
||||
temp_files.append(final_output_local_path)
|
||||
@@ -246,16 +675,26 @@ async def process_video_generation(task_id: str, req: GenerateRequest, user_id:
|
||||
mapped = 87 + int(percent * 0.08)
|
||||
_update_task(task_id, progress=mapped)
|
||||
|
||||
title_display_mode = (
|
||||
req.title_display_mode
|
||||
if req.title_display_mode in ("short", "persistent")
|
||||
else "short"
|
||||
)
|
||||
title_duration = max(0.5, min(float(req.title_duration or 4.0), 30.0))
|
||||
|
||||
await remotion_service.render(
|
||||
video_path=str(composed_video_path),
|
||||
output_path=str(final_output_local_path),
|
||||
captions_path=str(captions_path) if captions_path else None,
|
||||
title=req.title,
|
||||
title_duration=3.0,
|
||||
title_duration=title_duration,
|
||||
title_display_mode=title_display_mode,
|
||||
fps=25,
|
||||
enable_subtitles=req.enable_subtitles,
|
||||
subtitle_style=subtitle_style,
|
||||
title_style=title_style,
|
||||
secondary_title=req.secondary_title,
|
||||
secondary_title_style=secondary_title_style,
|
||||
on_progress=on_remotion_progress
|
||||
)
|
||||
print(f"[Pipeline] Remotion render completed")
|
||||
|
||||
34
backend/app/repositories/orders.py
Normal file
34
backend/app/repositories/orders.py
Normal file
@@ -0,0 +1,34 @@
|
||||
"""
|
||||
订单数据访问层
|
||||
"""
|
||||
from datetime import datetime, timezone
|
||||
from typing import Any, Dict, Optional, cast
|
||||
|
||||
from app.core.supabase import get_supabase
|
||||
|
||||
|
||||
def create_order(user_id: str, out_trade_no: str, amount: float) -> Dict[str, Any]:
|
||||
supabase = get_supabase()
|
||||
result = supabase.table("orders").insert({
|
||||
"user_id": user_id,
|
||||
"out_trade_no": out_trade_no,
|
||||
"amount": amount,
|
||||
"status": "pending",
|
||||
}).execute()
|
||||
return cast(Dict[str, Any], (result.data or [{}])[0])
|
||||
|
||||
|
||||
def get_order_by_trade_no(out_trade_no: str) -> Optional[Dict[str, Any]]:
|
||||
supabase = get_supabase()
|
||||
result = supabase.table("orders").select("*").eq("out_trade_no", out_trade_no).single().execute()
|
||||
return cast(Optional[Dict[str, Any]], result.data or None)
|
||||
|
||||
|
||||
def update_order_status(out_trade_no: str, status: str, trade_no: str | None = None) -> None:
|
||||
supabase = get_supabase()
|
||||
payload: Dict[str, Any] = {"status": status}
|
||||
if trade_no:
|
||||
payload["trade_no"] = trade_no
|
||||
if status == "paid":
|
||||
payload["paid_at"] = datetime.now(timezone.utc).isoformat()
|
||||
supabase.table("orders").update(payload).eq("out_trade_no", out_trade_no).execute()
|
||||
@@ -1,3 +1,4 @@
|
||||
from datetime import datetime, timezone
|
||||
from typing import Any, Dict, List, Optional, cast
|
||||
|
||||
from app.core.supabase import get_supabase
|
||||
@@ -37,3 +38,33 @@ def update_user(user_id: str, payload: Dict[str, Any]) -> List[Dict[str, Any]]:
|
||||
supabase = get_supabase()
|
||||
result = supabase.table("users").update(payload).eq("id", user_id).execute()
|
||||
return cast(List[Dict[str, Any]], result.data or [])
|
||||
|
||||
|
||||
def _parse_expires_at(expires_at: Any) -> Optional[datetime]:
|
||||
try:
|
||||
expires_at_dt = datetime.fromisoformat(str(expires_at).replace("Z", "+00:00"))
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
if expires_at_dt.tzinfo is None:
|
||||
expires_at_dt = expires_at_dt.replace(tzinfo=timezone.utc)
|
||||
return expires_at_dt.astimezone(timezone.utc)
|
||||
|
||||
|
||||
def deactivate_user_if_expired(user: Dict[str, Any]) -> bool:
|
||||
expires_at = user.get("expires_at")
|
||||
if not expires_at:
|
||||
return False
|
||||
|
||||
expires_at_dt = _parse_expires_at(expires_at)
|
||||
if not expires_at_dt:
|
||||
return False
|
||||
|
||||
if datetime.now(timezone.utc) <= expires_at_dt:
|
||||
return False
|
||||
|
||||
user_id = user.get("id")
|
||||
if user.get("is_active") and user_id:
|
||||
update_user(cast(str, user_id), {"is_active": False})
|
||||
|
||||
return True
|
||||
|
||||
@@ -35,17 +35,19 @@ class GLMService:
|
||||
Returns:
|
||||
{"title": "标题", "tags": ["标签1", "标签2", ...]}
|
||||
"""
|
||||
prompt = f"""根据以下口播文案,生成一个吸引人的短视频标题和3个相关标签。
|
||||
prompt = f"""根据以下口播文案,生成一个吸引人的短视频标题、副标题和3个相关标签。
|
||||
|
||||
口播文案:
|
||||
{text}
|
||||
|
||||
要求:
|
||||
1. 标题要简洁有力,能吸引观众点击,不超过10个字
|
||||
2. 标签要与内容相关,便于搜索和推荐,只要3个
|
||||
2. 副标题是对标题的补充说明或描述性文字,不超过20个字
|
||||
3. 标签要与内容相关,便于搜索和推荐,只要3个
|
||||
4. 标题、副标题和标签必须使用与口播文案相同的语言(如文案是英文就用英文,日文就用日文)
|
||||
|
||||
请严格按以下JSON格式返回(不要包含其他内容):
|
||||
{{"title": "标题", "tags": ["标签1", "标签2", "标签3"]}}"""
|
||||
{{"title": "标题", "secondary_title": "副标题", "tags": ["标签1", "标签2", "标签3"]}}"""
|
||||
|
||||
try:
|
||||
client = self._get_client()
|
||||
@@ -74,17 +76,24 @@ class GLMService:
|
||||
logger.error(f"GLM service error: {e}")
|
||||
raise Exception(f"AI 生成失败: {str(e)}")
|
||||
|
||||
async def rewrite_script(self, text: str) -> str:
|
||||
async def rewrite_script(self, text: str, custom_prompt: str = None) -> str:
|
||||
"""
|
||||
AI 洗稿(文案改写)
|
||||
AI 改写文案
|
||||
|
||||
Args:
|
||||
text: 原始文案
|
||||
custom_prompt: 自定义提示词,为空则使用默认提示词
|
||||
|
||||
Returns:
|
||||
改写后的文案
|
||||
"""
|
||||
prompt = f"""请将以下视频文案进行改写。
|
||||
if custom_prompt and custom_prompt.strip():
|
||||
prompt = f"""{custom_prompt.strip()}
|
||||
|
||||
原始文案:
|
||||
{text}"""
|
||||
else:
|
||||
prompt = f"""请将以下视频文案进行改写。
|
||||
|
||||
原始文案:
|
||||
{text}
|
||||
@@ -120,6 +129,49 @@ class GLMService:
|
||||
|
||||
|
||||
|
||||
async def translate_text(self, text: str, target_lang: str) -> str:
|
||||
"""
|
||||
将文案翻译为指定语言
|
||||
|
||||
Args:
|
||||
text: 原始文案
|
||||
target_lang: 目标语言(如 English, 日本語 等)
|
||||
|
||||
Returns:
|
||||
翻译后的文案
|
||||
"""
|
||||
prompt = f"""请将以下文案翻译为{target_lang}。
|
||||
|
||||
原文:
|
||||
{text}
|
||||
|
||||
要求:
|
||||
1. 只返回翻译后的文案,不要添加任何解释或说明
|
||||
2. 保持原文的语气和风格
|
||||
3. 翻译要自然流畅,符合目标语言的表达习惯"""
|
||||
|
||||
try:
|
||||
client = self._get_client()
|
||||
logger.info(f"Using GLM to translate text to {target_lang}")
|
||||
|
||||
import asyncio
|
||||
response = await asyncio.to_thread(
|
||||
client.chat.completions.create,
|
||||
model=settings.GLM_MODEL,
|
||||
messages=[{"role": "user", "content": prompt}],
|
||||
thinking={"type": "disabled"},
|
||||
max_tokens=2000,
|
||||
temperature=0.3
|
||||
)
|
||||
|
||||
content = response.choices[0].message.content
|
||||
logger.info("GLM translation completed")
|
||||
return content.strip()
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"GLM translate error: {e}")
|
||||
raise Exception(f"AI 翻译失败: {str(e)}")
|
||||
|
||||
def _parse_json_response(self, content: str) -> dict:
|
||||
"""解析 GLM 返回的 JSON 内容"""
|
||||
# 尝试直接解析
|
||||
@@ -130,6 +182,8 @@ class GLMService:
|
||||
|
||||
# 尝试提取 JSON 块
|
||||
json_match = re.search(r'\{[^{}]*"title"[^{}]*"tags"[^{}]*\}', content, re.DOTALL)
|
||||
if not json_match:
|
||||
json_match = re.search(r'\{[^{}]*"title"[^{}]*"secondary_title"[^{}]*"tags"[^{}]*\}', content, re.DOTALL)
|
||||
if json_match:
|
||||
try:
|
||||
return json.loads(json_match.group())
|
||||
|
||||
@@ -369,7 +369,7 @@ class LipSyncService:
|
||||
}
|
||||
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=1200.0) as client:
|
||||
async with httpx.AsyncClient(timeout=3600.0) as client:
|
||||
# 先检查健康状态
|
||||
try:
|
||||
resp = await client.get(f"{server_url}/health", timeout=5.0)
|
||||
|
||||
@@ -17,20 +17,20 @@ from app.services.storage import storage_service
|
||||
# Import platform uploaders
|
||||
from .uploader.bilibili_uploader import BilibiliUploader
|
||||
from .uploader.douyin_uploader import DouyinUploader
|
||||
from .uploader.xiaohongshu_uploader import XiaohongshuUploader
|
||||
from .uploader.weixin_uploader import WeixinUploader
|
||||
from .uploader.xiaohongshu_uploader import XiaohongshuUploader
|
||||
from .uploader.weixin_uploader import WeixinUploader
|
||||
|
||||
|
||||
class PublishService:
|
||||
"""Social media publishing service (with user isolation)"""
|
||||
|
||||
# 支持的平台配置
|
||||
PLATFORMS: Dict[str, Dict[str, Any]] = {
|
||||
"douyin": {"name": "抖音", "url": "https://creator.douyin.com/", "enabled": True},
|
||||
"weixin": {"name": "微信视频号", "url": "https://channels.weixin.qq.com/", "enabled": True},
|
||||
"bilibili": {"name": "B站", "url": "https://member.bilibili.com/platform/upload/video/frame", "enabled": True},
|
||||
"xiaohongshu": {"name": "小红书", "url": "https://creator.xiaohongshu.com/", "enabled": True},
|
||||
}
|
||||
PLATFORMS: Dict[str, Dict[str, Any]] = {
|
||||
"douyin": {"name": "抖音", "url": "https://creator.douyin.com/", "enabled": True},
|
||||
"weixin": {"name": "微信视频号", "url": "https://channels.weixin.qq.com/", "enabled": True},
|
||||
"bilibili": {"name": "B站", "url": "https://member.bilibili.com/platform/upload/video/frame", "enabled": True},
|
||||
"xiaohongshu": {"name": "小红书", "url": "https://creator.xiaohongshu.com/", "enabled": True},
|
||||
}
|
||||
|
||||
def __init__(self) -> None:
|
||||
# 存储活跃的登录会话,用于跟踪登录状态
|
||||
@@ -175,36 +175,36 @@ class PublishService:
|
||||
tid=kwargs.get('tid', 122),
|
||||
copyright=kwargs.get('copyright', 1)
|
||||
)
|
||||
elif platform == "douyin":
|
||||
uploader = DouyinUploader(
|
||||
title=title,
|
||||
file_path=local_video_path,
|
||||
tags=tags,
|
||||
publish_date=publish_time,
|
||||
account_file=str(account_file),
|
||||
description=description,
|
||||
user_id=user_id,
|
||||
)
|
||||
elif platform == "xiaohongshu":
|
||||
uploader = XiaohongshuUploader(
|
||||
title=title,
|
||||
file_path=local_video_path,
|
||||
tags=tags,
|
||||
publish_date=publish_time,
|
||||
account_file=str(account_file),
|
||||
description=description
|
||||
)
|
||||
elif platform == "weixin":
|
||||
uploader = WeixinUploader(
|
||||
title=title,
|
||||
file_path=local_video_path,
|
||||
tags=tags,
|
||||
publish_date=publish_time,
|
||||
account_file=str(account_file),
|
||||
description=description,
|
||||
user_id=user_id,
|
||||
)
|
||||
else:
|
||||
elif platform == "douyin":
|
||||
uploader = DouyinUploader(
|
||||
title=title,
|
||||
file_path=local_video_path,
|
||||
tags=tags,
|
||||
publish_date=publish_time,
|
||||
account_file=str(account_file),
|
||||
description=description,
|
||||
user_id=user_id,
|
||||
)
|
||||
elif platform == "xiaohongshu":
|
||||
uploader = XiaohongshuUploader(
|
||||
title=title,
|
||||
file_path=local_video_path,
|
||||
tags=tags,
|
||||
publish_date=publish_time,
|
||||
account_file=str(account_file),
|
||||
description=description
|
||||
)
|
||||
elif platform == "weixin":
|
||||
uploader = WeixinUploader(
|
||||
title=title,
|
||||
file_path=local_video_path,
|
||||
tags=tags,
|
||||
publish_date=publish_time,
|
||||
account_file=str(account_file),
|
||||
description=description,
|
||||
user_id=user_id,
|
||||
)
|
||||
else:
|
||||
logger.warning(f"[发布] {platform} 上传功能尚未实现")
|
||||
return {
|
||||
"success": False,
|
||||
@@ -236,30 +236,38 @@ class PublishService:
|
||||
async def login(self, platform: str, user_id: Optional[str] = None) -> Dict[str, Any]:
|
||||
"""
|
||||
启动QR码登录流程
|
||||
|
||||
|
||||
Args:
|
||||
platform: 平台 ID
|
||||
user_id: 用户 ID (用于 Cookie 隔离)
|
||||
|
||||
|
||||
Returns:
|
||||
dict: 包含二维码base64图片
|
||||
"""
|
||||
if platform not in self.PLATFORMS:
|
||||
return {"success": False, "message": "不支持的平台"}
|
||||
|
||||
|
||||
try:
|
||||
from .qr_login_service import QRLoginService
|
||||
|
||||
|
||||
# 获取用户专属的 Cookie 目录
|
||||
cookies_dir = self._get_cookies_dir(user_id)
|
||||
|
||||
|
||||
# 清理旧的活跃会话(避免残留会话干扰新登录)
|
||||
session_key = self._get_session_key(platform, user_id)
|
||||
if session_key in self.active_login_sessions:
|
||||
old_service = self.active_login_sessions.pop(session_key)
|
||||
try:
|
||||
await old_service._cleanup()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
# 创建QR登录服务
|
||||
qr_service = QRLoginService(platform, cookies_dir)
|
||||
|
||||
|
||||
# 存储活跃会话 (带用户隔离)
|
||||
session_key = self._get_session_key(platform, user_id)
|
||||
self.active_login_sessions[session_key] = qr_service
|
||||
|
||||
|
||||
# 启动登录并获取二维码
|
||||
result = await qr_service.start_login()
|
||||
|
||||
@@ -273,27 +281,28 @@ class PublishService:
|
||||
}
|
||||
|
||||
def get_login_session_status(self, platform: str, user_id: Optional[str] = None) -> Dict[str, Any]:
|
||||
"""获取活跃登录会话的状态"""
|
||||
"""获取活跃登录会话的状态(仅用于扫码轮询)"""
|
||||
session_key = self._get_session_key(platform, user_id)
|
||||
|
||||
# 1. 如果有活跃的扫码会话,优先检查它
|
||||
|
||||
# 只检查活跃的扫码会话,不检查 Cookie 文件
|
||||
# Cookie 文件检查会导致"重新登录"时误判为已登录
|
||||
if session_key in self.active_login_sessions:
|
||||
qr_service = self.active_login_sessions[session_key]
|
||||
status = qr_service.get_login_status()
|
||||
|
||||
|
||||
# 如果登录成功且Cookie已保存,清理会话
|
||||
if status["success"] and status["cookies_saved"]:
|
||||
del self.active_login_sessions[session_key]
|
||||
return {"success": True, "message": "登录成功"}
|
||||
|
||||
return {"success": False, "message": "等待扫码..."}
|
||||
|
||||
# 2. 检查本地Cookie文件是否存在
|
||||
cookie_file = self._get_cookie_path(platform, user_id)
|
||||
if cookie_file.exists():
|
||||
return {"success": True, "message": "已登录 (历史状态)"}
|
||||
|
||||
return {"success": False, "message": "未登录"}
|
||||
|
||||
# 刷脸验证:传递新二维码给前端
|
||||
result: Dict[str, Any] = {"success": False, "message": "等待扫码..."}
|
||||
if status.get("face_verify_qr"):
|
||||
result["face_verify_qr"] = status["face_verify_qr"]
|
||||
return result
|
||||
|
||||
# 没有活跃会话 → 返回 False(前端不应在无会话时轮询)
|
||||
return {"success": False, "message": "无活跃登录会话"}
|
||||
|
||||
def logout(self, platform: str, user_id: Optional[str] = None) -> Dict[str, Any]:
|
||||
"""
|
||||
|
||||
@@ -1,59 +1,67 @@
|
||||
"""
|
||||
QR码自动登录服务
|
||||
后端Playwright无头模式获取二维码,前端扫码后自动保存Cookie
|
||||
"""
|
||||
"""
|
||||
QR码自动登录服务
|
||||
后端Playwright无头模式获取二维码,前端扫码后自动保存Cookie
|
||||
"""
|
||||
import asyncio
|
||||
import time
|
||||
import base64
|
||||
import json
|
||||
from pathlib import Path
|
||||
import base64
|
||||
import json
|
||||
from pathlib import Path
|
||||
from typing import Optional, Dict, Any, List, Sequence, Mapping, Union
|
||||
from playwright.async_api import async_playwright, Page, Frame, BrowserContext, Browser, Playwright as PW
|
||||
from loguru import logger
|
||||
from app.core.config import settings
|
||||
|
||||
|
||||
|
||||
|
||||
class QRLoginService:
|
||||
"""QR码登录服务"""
|
||||
|
||||
# 登录监控超时 (秒)
|
||||
LOGIN_TIMEOUT = 120
|
||||
|
||||
"""QR码登录服务"""
|
||||
|
||||
# 登录监控超时 (秒)
|
||||
LOGIN_TIMEOUT = 180
|
||||
|
||||
def __init__(self, platform: str, cookies_dir: Path) -> None:
|
||||
self.platform = platform
|
||||
self.cookies_dir = cookies_dir
|
||||
self.qr_code_image: Optional[str] = None
|
||||
self.login_success: bool = False
|
||||
self.cookies_data: Optional[Dict[str, Any]] = None
|
||||
|
||||
# Playwright 资源 (手动管理生命周期)
|
||||
self.playwright: Optional[PW] = None
|
||||
self.browser: Optional[Browser] = None
|
||||
self.context: Optional[BrowserContext] = None
|
||||
|
||||
# 每个平台使用多个选择器 (使用逗号分隔,Playwright会同时等待它们)
|
||||
self.cookies_dir = cookies_dir
|
||||
self.qr_code_image: Optional[str] = None
|
||||
self.login_success: bool = False
|
||||
self.cookies_data: Optional[Dict[str, Any]] = None
|
||||
|
||||
# Playwright 资源 (手动管理生命周期)
|
||||
self.playwright: Optional[PW] = None
|
||||
self.browser: Optional[Browser] = None
|
||||
self.context: Optional[BrowserContext] = None
|
||||
|
||||
# 抖音 check_qrconnect API 响应拦截
|
||||
self._qr_api_confirmed: bool = False
|
||||
self._qr_redirect_url: Optional[str] = None
|
||||
self._douyin_needs_verify: bool = False # 需要APP验证
|
||||
|
||||
# 刷脸验证二维码(点击刷脸后页面展示新二维码,需要前端再次展示给用户)
|
||||
self._face_verify_qr: Optional[str] = None # base64 截图
|
||||
|
||||
# 每个平台使用多个选择器 (使用逗号分隔,Playwright会同时等待它们)
|
||||
self.platform_configs = {
|
||||
"bilibili": {
|
||||
"url": "https://passport.bilibili.com/login",
|
||||
"qr_selectors": [
|
||||
"div[class*='qrcode'] canvas", # 常见canvas二维码
|
||||
"div[class*='qrcode'] img", # 常见图片二维码
|
||||
".qrcode-img img", # 旧版
|
||||
".login-scan-box img", # 扫码框
|
||||
"div[class*='scan'] img"
|
||||
],
|
||||
"success_indicator": "https://www.bilibili.com/"
|
||||
},
|
||||
"douyin": {
|
||||
"url": "https://creator.douyin.com/",
|
||||
"qr_selectors": [
|
||||
".qrcode img", # 优先尝试
|
||||
"img[alt='qrcode']",
|
||||
"canvas[class*='qr']",
|
||||
"img[src*='qr']"
|
||||
],
|
||||
"success_indicator": "https://creator.douyin.com/creator-micro"
|
||||
},
|
||||
"bilibili": {
|
||||
"url": "https://passport.bilibili.com/login",
|
||||
"qr_selectors": [
|
||||
"div[class*='qrcode'] canvas", # 常见canvas二维码
|
||||
"div[class*='qrcode'] img", # 常见图片二维码
|
||||
".qrcode-img img", # 旧版
|
||||
".login-scan-box img", # 扫码框
|
||||
"div[class*='scan'] img"
|
||||
],
|
||||
"success_indicator": "https://www.bilibili.com/"
|
||||
},
|
||||
"douyin": {
|
||||
"url": "https://creator.douyin.com/",
|
||||
"qr_selectors": [
|
||||
".qrcode img", # 优先尝试
|
||||
"img[alt='qrcode']",
|
||||
"canvas[class*='qr']",
|
||||
"img[src*='qr']"
|
||||
],
|
||||
"success_indicator": "https://creator.douyin.com/creator-micro"
|
||||
},
|
||||
"xiaohongshu": {
|
||||
"url": "https://creator.xiaohongshu.com/",
|
||||
"qr_selectors": [
|
||||
@@ -79,10 +87,15 @@ class QRLoginService:
|
||||
}
|
||||
|
||||
def _resolve_headless_mode(self) -> str:
|
||||
if self.platform != "weixin":
|
||||
return "headless"
|
||||
mode = (settings.WEIXIN_HEADLESS_MODE or "").strip().lower()
|
||||
return mode or "headful"
|
||||
# 抖音和微信使用 headful 模式(xvfb 虚拟显示),避免反爬检测
|
||||
# 其他平台使用 headless-new
|
||||
if self.platform == "douyin":
|
||||
mode = (settings.DOUYIN_HEADLESS_MODE or "").strip().lower()
|
||||
return mode or "headful"
|
||||
if self.platform == "weixin":
|
||||
mode = (settings.WEIXIN_HEADLESS_MODE or "").strip().lower()
|
||||
return mode or "headful"
|
||||
return "headless-new"
|
||||
|
||||
def _is_square_bbox(self, bbox: Optional[Dict[str, float]], min_side: int = 100) -> bool:
|
||||
if not bbox:
|
||||
@@ -158,20 +171,20 @@ class QRLoginService:
|
||||
except Exception:
|
||||
continue
|
||||
return None
|
||||
|
||||
async def start_login(self) -> Dict[str, Any]:
|
||||
"""
|
||||
启动登录流程
|
||||
|
||||
Returns:
|
||||
dict: 包含二维码base64和状态
|
||||
"""
|
||||
if self.platform not in self.platform_configs:
|
||||
return {"success": False, "message": "不支持的平台"}
|
||||
|
||||
config = self.platform_configs[self.platform]
|
||||
|
||||
try:
|
||||
|
||||
async def start_login(self) -> Dict[str, Any]:
|
||||
"""
|
||||
启动登录流程
|
||||
|
||||
Returns:
|
||||
dict: 包含二维码base64和状态
|
||||
"""
|
||||
if self.platform not in self.platform_configs:
|
||||
return {"success": False, "message": "不支持的平台"}
|
||||
|
||||
config = self.platform_configs[self.platform]
|
||||
|
||||
try:
|
||||
# 1. 启动 Playwright (不使用 async with,手动管理生命周期)
|
||||
self.playwright = await async_playwright().start()
|
||||
|
||||
@@ -180,46 +193,66 @@ class QRLoginService:
|
||||
launch_args = [
|
||||
'--disable-blink-features=AutomationControlled',
|
||||
'--no-sandbox',
|
||||
'--disable-dev-shm-usage'
|
||||
'--disable-dev-shm-usage',
|
||||
]
|
||||
if headless and mode in ("new", "headless-new", "headless_new"):
|
||||
launch_args.append("--headless=new")
|
||||
if not headless:
|
||||
# headful 模式下 xvfb 没有 GPU,需要软件渲染
|
||||
launch_args.extend([
|
||||
'--use-gl=swiftshader',
|
||||
'--disable-gpu',
|
||||
])
|
||||
|
||||
# Stealth模式启动浏览器
|
||||
launch_options: Dict[str, Any] = {
|
||||
"headless": headless,
|
||||
"args": launch_args,
|
||||
}
|
||||
if self.platform == "weixin":
|
||||
# 根据平台选择对应的浏览器配置
|
||||
if self.platform == "douyin":
|
||||
chrome_path = (settings.DOUYIN_CHROME_PATH or "").strip()
|
||||
browser_channel = (settings.DOUYIN_BROWSER_CHANNEL or "").strip()
|
||||
user_agent = settings.DOUYIN_USER_AGENT
|
||||
locale = settings.DOUYIN_LOCALE
|
||||
timezone_id = settings.DOUYIN_TIMEZONE_ID
|
||||
elif self.platform == "weixin":
|
||||
chrome_path = (settings.WEIXIN_CHROME_PATH or "").strip()
|
||||
if chrome_path:
|
||||
if Path(chrome_path).exists():
|
||||
launch_options["executable_path"] = chrome_path
|
||||
else:
|
||||
logger.warning(f"[weixin] WEIXIN_CHROME_PATH not found: {chrome_path}")
|
||||
else:
|
||||
channel = (settings.WEIXIN_BROWSER_CHANNEL or "").strip()
|
||||
if channel:
|
||||
launch_options["channel"] = channel
|
||||
browser_channel = (settings.WEIXIN_BROWSER_CHANNEL or "").strip()
|
||||
user_agent = settings.WEIXIN_USER_AGENT
|
||||
locale = settings.WEIXIN_LOCALE
|
||||
timezone_id = settings.WEIXIN_TIMEZONE_ID
|
||||
else:
|
||||
# B站、小红书等:使用通用默认值
|
||||
chrome_path = (settings.WEIXIN_CHROME_PATH or "").strip()
|
||||
browser_channel = ""
|
||||
user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
|
||||
locale = "zh-CN"
|
||||
timezone_id = "Asia/Shanghai"
|
||||
|
||||
if chrome_path and Path(chrome_path).exists():
|
||||
launch_options["executable_path"] = chrome_path
|
||||
elif browser_channel:
|
||||
launch_options["channel"] = browser_channel
|
||||
|
||||
self.browser = await self.playwright.chromium.launch(**launch_options)
|
||||
|
||||
|
||||
# 配置真实浏览器特征
|
||||
self.context = await self.browser.new_context(
|
||||
viewport={'width': 1920, 'height': 1080},
|
||||
user_agent=settings.WEIXIN_USER_AGENT,
|
||||
locale=settings.WEIXIN_LOCALE,
|
||||
timezone_id=settings.WEIXIN_TIMEZONE_ID
|
||||
user_agent=user_agent,
|
||||
locale=locale,
|
||||
timezone_id=timezone_id
|
||||
)
|
||||
|
||||
page = await self.context.new_page()
|
||||
|
||||
# 注入stealth.js
|
||||
stealth_path = Path(__file__).parent / 'uploader' / 'stealth.min.js'
|
||||
if stealth_path.exists():
|
||||
await page.add_init_script(path=str(stealth_path))
|
||||
logger.debug(f"[{self.platform}] Stealth模式已启用")
|
||||
|
||||
|
||||
page = await self.context.new_page()
|
||||
|
||||
# 注入stealth.js
|
||||
stealth_path = Path(__file__).parent / 'uploader' / 'stealth.min.js'
|
||||
if stealth_path.exists():
|
||||
await page.add_init_script(path=str(stealth_path))
|
||||
logger.debug(f"[{self.platform}] Stealth模式已启用")
|
||||
|
||||
urls_to_try = [config["url"]]
|
||||
if self.platform == "weixin":
|
||||
urls_to_try = [
|
||||
@@ -228,6 +261,60 @@ class QRLoginService:
|
||||
]
|
||||
|
||||
qr_image = None
|
||||
|
||||
# 抖音:拦截 QR 登录相关 API 响应,检测登录成功
|
||||
if self.platform == "douyin":
|
||||
async def _on_douyin_qr_response(response):
|
||||
try:
|
||||
url = response.url or ""
|
||||
if "check_qrconnect" not in url.lower():
|
||||
return
|
||||
|
||||
body = None
|
||||
try:
|
||||
body = await response.json()
|
||||
except Exception:
|
||||
try:
|
||||
text = await response.text()
|
||||
import re as _re
|
||||
m = _re.search(r'\{.*\}', text, _re.DOTALL)
|
||||
if m:
|
||||
body = json.loads(m.group())
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
if not body:
|
||||
return
|
||||
|
||||
data = body.get("data", {})
|
||||
redirect_url = data.get("redirect_url", "")
|
||||
status_val = data.get("status", "")
|
||||
desc = data.get("description", body.get("description", ""))
|
||||
|
||||
logger.info(
|
||||
f"[douyin][qr-poll] status={status_val} "
|
||||
f"desc={desc[:60]} redirect={'yes' if redirect_url else 'no'}"
|
||||
)
|
||||
|
||||
# 检测需要APP验证
|
||||
if "完成验证" in desc or "验证后" in desc:
|
||||
self._douyin_needs_verify = True
|
||||
logger.warning("[douyin] 需要APP验证")
|
||||
|
||||
if self._qr_api_confirmed:
|
||||
return
|
||||
|
||||
# 检测登录成功:出现 redirect_url
|
||||
if redirect_url:
|
||||
self._qr_redirect_url = redirect_url
|
||||
self._qr_api_confirmed = True
|
||||
logger.success(f"[douyin] 登录确认!redirect_url={redirect_url[:120]}")
|
||||
|
||||
except Exception as e:
|
||||
logger.debug(f"[douyin][qr-poll] error: {e}")
|
||||
|
||||
page.on("response", _on_douyin_qr_response)
|
||||
|
||||
for url in urls_to_try:
|
||||
logger.info(f"[{self.platform}] 打开登录页: {url}")
|
||||
wait_until = "domcontentloaded" if self.platform == "weixin" else "networkidle"
|
||||
@@ -240,72 +327,94 @@ class QRLoginService:
|
||||
qr_image = await self._extract_qr_code(page, config["qr_selectors"])
|
||||
if qr_image:
|
||||
break
|
||||
|
||||
if not qr_image:
|
||||
await self._cleanup()
|
||||
return {"success": False, "message": "未找到二维码"}
|
||||
|
||||
logger.info(f"[{self.platform}] 二维码已获取,等待扫码...")
|
||||
|
||||
# 启动后台监控任务 (浏览器保持开启)
|
||||
asyncio.create_task(
|
||||
self._monitor_login_status(page, config["success_indicator"])
|
||||
)
|
||||
|
||||
return {
|
||||
"success": True,
|
||||
"qr_code": qr_image,
|
||||
"message": "请扫码登录"
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
logger.exception(f"[{self.platform}] 启动登录失败: {e}")
|
||||
await self._cleanup()
|
||||
return {"success": False, "message": f"启动失败: {str(e)}"}
|
||||
|
||||
async def _extract_qr_code(self, page: Page, selectors: List[str]) -> Optional[str]:
|
||||
"""
|
||||
提取二维码图片 (优化策略顺序)
|
||||
根据日志分析:抖音和B站使用 Text 策略成功率最高
|
||||
"""
|
||||
qr_element = None
|
||||
|
||||
# 针对抖音和B站:优先使用 Text 策略 (成功率最高,速度最快)
|
||||
if self.platform in ("douyin", "bilibili"):
|
||||
# 尝试最多2次 (首次 + 1次重试)
|
||||
for attempt in range(2):
|
||||
if attempt > 0:
|
||||
logger.info(f"[{self.platform}] 等待页面加载后重试...")
|
||||
await asyncio.sleep(2)
|
||||
|
||||
# 策略1: Text (优先,成功率最高)
|
||||
qr_element = await self._try_text_strategy(page)
|
||||
if qr_element:
|
||||
try:
|
||||
screenshot = await qr_element.screenshot()
|
||||
return base64.b64encode(screenshot).decode()
|
||||
except Exception as e:
|
||||
logger.warning(f"[{self.platform}] Text策略截图失败: {e}")
|
||||
qr_element = None
|
||||
|
||||
# 策略2: CSS (备用)
|
||||
if not qr_element:
|
||||
try:
|
||||
combined_selector = ", ".join(selectors)
|
||||
logger.debug(f"[{self.platform}] 策略2(CSS): 开始等待...")
|
||||
# 增加超时到5秒,抖音页面加载较慢
|
||||
el = await page.wait_for_selector(combined_selector, state="visible", timeout=5000)
|
||||
if el:
|
||||
logger.info(f"[{self.platform}] 策略2(CSS): 匹配成功")
|
||||
screenshot = await el.screenshot()
|
||||
return base64.b64encode(screenshot).decode()
|
||||
except Exception as e:
|
||||
logger.warning(f"[{self.platform}] 策略2(CSS) 失败: {e}")
|
||||
|
||||
# 如果已成功,退出循环
|
||||
if qr_element:
|
||||
break
|
||||
else:
|
||||
|
||||
if not qr_image:
|
||||
await self._cleanup()
|
||||
return {"success": False, "message": "未找到二维码"}
|
||||
|
||||
logger.info(f"[{self.platform}] 二维码已获取,等待扫码...")
|
||||
|
||||
# 启动后台监控任务 (浏览器保持开启)
|
||||
asyncio.create_task(
|
||||
self._monitor_login_status(page, config["success_indicator"])
|
||||
)
|
||||
|
||||
return {
|
||||
"success": True,
|
||||
"qr_code": qr_image,
|
||||
"message": "请扫码登录"
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
logger.exception(f"[{self.platform}] 启动登录失败: {e}")
|
||||
await self._cleanup()
|
||||
return {"success": False, "message": f"启动失败: {str(e)}"}
|
||||
|
||||
async def _extract_qr_code(self, page: Page, selectors: List[str]) -> Optional[str]:
|
||||
"""
|
||||
提取二维码图片 (优化策略顺序)
|
||||
抖音:CSS 优先(Text 策略每次超时 15 秒)
|
||||
B站:Text 优先
|
||||
其他:CSS -> Text
|
||||
"""
|
||||
qr_element = None
|
||||
|
||||
if self.platform == "douyin":
|
||||
# 抖音:CSS 优先,Text 备用(CSS 成功率高且快)
|
||||
for attempt in range(2):
|
||||
if attempt > 0:
|
||||
logger.info(f"[{self.platform}] 等待页面加载后重试...")
|
||||
await asyncio.sleep(2)
|
||||
|
||||
# 策略1: CSS (快速)
|
||||
try:
|
||||
combined_selector = ", ".join(selectors)
|
||||
logger.debug(f"[{self.platform}] 策略CSS: 开始等待...")
|
||||
el = await page.wait_for_selector(combined_selector, state="visible", timeout=5000)
|
||||
if el:
|
||||
logger.info(f"[{self.platform}] 策略CSS: 匹配成功")
|
||||
screenshot = await el.screenshot()
|
||||
return base64.b64encode(screenshot).decode()
|
||||
except Exception as e:
|
||||
logger.warning(f"[{self.platform}] 策略CSS 失败: {e}")
|
||||
|
||||
# 策略2: Text (备用)
|
||||
qr_element = await self._try_text_strategy(page)
|
||||
if qr_element:
|
||||
try:
|
||||
screenshot = await qr_element.screenshot()
|
||||
return base64.b64encode(screenshot).decode()
|
||||
except Exception as e:
|
||||
logger.warning(f"[{self.platform}] Text策略截图失败: {e}")
|
||||
|
||||
elif self.platform == "bilibili":
|
||||
# B站:Text 优先
|
||||
for attempt in range(2):
|
||||
if attempt > 0:
|
||||
logger.info(f"[{self.platform}] 等待页面加载后重试...")
|
||||
await asyncio.sleep(2)
|
||||
|
||||
qr_element = await self._try_text_strategy(page)
|
||||
if qr_element:
|
||||
try:
|
||||
screenshot = await qr_element.screenshot()
|
||||
return base64.b64encode(screenshot).decode()
|
||||
except Exception as e:
|
||||
logger.warning(f"[{self.platform}] Text策略截图失败: {e}")
|
||||
qr_element = None
|
||||
|
||||
if not qr_element:
|
||||
try:
|
||||
combined_selector = ", ".join(selectors)
|
||||
logger.debug(f"[{self.platform}] 策略CSS: 开始等待...")
|
||||
el = await page.wait_for_selector(combined_selector, state="visible", timeout=5000)
|
||||
if el:
|
||||
logger.info(f"[{self.platform}] 策略CSS: 匹配成功")
|
||||
screenshot = await el.screenshot()
|
||||
return base64.b64encode(screenshot).decode()
|
||||
except Exception as e:
|
||||
logger.warning(f"[{self.platform}] 策略CSS 失败: {e}")
|
||||
else:
|
||||
# 其他平台 (小红书/微信等):保持原顺序 CSS -> Text
|
||||
# 策略1: CSS 选择器
|
||||
try:
|
||||
@@ -328,36 +437,31 @@ class QRLoginService:
|
||||
logger.info(f"[{self.platform}] 策略1(CSS): 匹配成功")
|
||||
except Exception as e:
|
||||
logger.warning(f"[{self.platform}] 策略1(CSS) 失败: {e}")
|
||||
|
||||
# 策略2: Text
|
||||
|
||||
# 策略2: Text
|
||||
if not qr_element:
|
||||
qr_element = await self._try_text_strategy(page)
|
||||
|
||||
if not qr_element and self.platform == "weixin":
|
||||
qr_element = await self._try_text_strategy_in_frames(page)
|
||||
|
||||
# 如果找到元素,截图返回
|
||||
if qr_element:
|
||||
try:
|
||||
screenshot = await qr_element.screenshot()
|
||||
return base64.b64encode(screenshot).decode()
|
||||
except Exception as e:
|
||||
logger.error(f"[{self.platform}] 截图失败: {e}")
|
||||
|
||||
# 所有策略失败
|
||||
logger.error(f"[{self.platform}] 所有QR码提取策略失败")
|
||||
|
||||
# 保存调试截图
|
||||
debug_dir = Path(__file__).parent.parent.parent / 'debug_screenshots'
|
||||
debug_dir.mkdir(exist_ok=True)
|
||||
await page.screenshot(path=str(debug_dir / f"{self.platform}_debug.png"))
|
||||
|
||||
return None
|
||||
|
||||
|
||||
# 如果找到元素,截图返回
|
||||
if qr_element:
|
||||
try:
|
||||
screenshot = await qr_element.screenshot()
|
||||
return base64.b64encode(screenshot).decode()
|
||||
except Exception as e:
|
||||
logger.error(f"[{self.platform}] 截图失败: {e}")
|
||||
|
||||
# 所有策略失败
|
||||
logger.error(f"[{self.platform}] 所有QR码提取策略失败")
|
||||
|
||||
return None
|
||||
|
||||
async def _try_text_strategy(self, page: Union[Page, Frame]) -> Optional[Any]:
|
||||
"""基于文本查找二维码图片"""
|
||||
try:
|
||||
logger.debug(f"[{self.platform}] 策略Text: 开始搜索...")
|
||||
"""基于文本查找二维码图片"""
|
||||
try:
|
||||
logger.debug(f"[{self.platform}] 策略Text: 开始搜索...")
|
||||
keywords = [
|
||||
"扫码登录",
|
||||
"二维码",
|
||||
@@ -368,138 +472,265 @@ class QRLoginService:
|
||||
"请使用微信扫码",
|
||||
"视频号"
|
||||
]
|
||||
|
||||
for kw in keywords:
|
||||
try:
|
||||
text_el = page.get_by_text(kw, exact=False).first
|
||||
await text_el.wait_for(state="visible", timeout=2000)
|
||||
|
||||
# 向上查找图片
|
||||
parent = text_el
|
||||
for _ in range(5):
|
||||
parent = parent.locator("..")
|
||||
|
||||
for kw in keywords:
|
||||
try:
|
||||
text_el = page.get_by_text(kw, exact=False).first
|
||||
await text_el.wait_for(state="visible", timeout=2000)
|
||||
|
||||
# 向上查找图片
|
||||
parent = text_el
|
||||
for _ in range(5):
|
||||
parent = parent.locator("..")
|
||||
candidates = parent.locator("img, canvas")
|
||||
min_side = 120 if self.platform == "weixin" else 100
|
||||
best = await self._pick_best_candidate(candidates, min_side=min_side)
|
||||
if best:
|
||||
logger.info(f"[{self.platform}] 策略Text: 成功")
|
||||
return best
|
||||
except Exception:
|
||||
continue
|
||||
except Exception as e:
|
||||
logger.warning(f"[{self.platform}] 策略Text 失败: {e}")
|
||||
return None
|
||||
|
||||
async def _monitor_login_status(self, page: Page, success_url: str):
|
||||
"""监控登录状态"""
|
||||
try:
|
||||
logger.info(f"[{self.platform}] 开始监控登录状态...")
|
||||
except Exception:
|
||||
continue
|
||||
except Exception as e:
|
||||
logger.warning(f"[{self.platform}] 策略Text 失败: {e}")
|
||||
return None
|
||||
|
||||
async def _monitor_login_status(self, page: Page, success_url: str):
|
||||
"""监控登录状态 — 简洁版
|
||||
|
||||
策略:
|
||||
1. 监听页面 URL 变化和 session cookie 出现(通用,适用所有平台)
|
||||
2. 抖音特殊:如果 API 拦截到 redirect_url,直接导航过去拿 cookie
|
||||
3. 抖音特殊:如果需要APP验证且JS轮询停了,等用户验证完后
|
||||
用 page.goto 重新访问首页,让服务器分配 session
|
||||
"""
|
||||
try:
|
||||
logger.info(f"[{self.platform}] 开始监控登录状态...")
|
||||
key_cookies = {
|
||||
"bilibili": ["SESSDATA"],
|
||||
"douyin": ["sessionid"],
|
||||
"douyin": ["sessionid", "sessionid_ss", "sid_guard", "sid_tt", "uid_tt"],
|
||||
"xiaohongshu": ["web_session"],
|
||||
"weixin": [
|
||||
"wxuin",
|
||||
"wxsid",
|
||||
"pass_ticket",
|
||||
"webwx_data_ticket",
|
||||
"uin",
|
||||
"skey",
|
||||
"p_uin",
|
||||
"p_skey",
|
||||
"pac_uid",
|
||||
],
|
||||
"weixin": ["wxuin", "wxsid", "pass_ticket", "uin", "skey",
|
||||
"p_uin", "p_skey", "pac_uid"],
|
||||
}
|
||||
target_cookies = key_cookies.get(self.platform, [])
|
||||
|
||||
for i in range(self.LOGIN_TIMEOUT):
|
||||
await asyncio.sleep(1)
|
||||
|
||||
try:
|
||||
if not self.context: break # 避免意外关闭
|
||||
|
||||
cookies = [dict(cookie) for cookie in await self.context.cookies()]
|
||||
current_url = page.url
|
||||
has_cookie = any((c.get('name') in target_cookies) for c in cookies) if target_cookies else False
|
||||
|
||||
if i % 5 == 0:
|
||||
logger.debug(f"[{self.platform}] 等待登录... HasCookie: {has_cookie}")
|
||||
|
||||
if success_url in current_url or has_cookie:
|
||||
logger.success(f"[{self.platform}] 登录成功!")
|
||||
self.login_success = True
|
||||
await asyncio.sleep(2) # 缓冲
|
||||
|
||||
# 保存Cookie
|
||||
final_cookies = [dict(cookie) for cookie in await self.context.cookies()]
|
||||
await self._save_cookies(final_cookies)
|
||||
break
|
||||
|
||||
except Exception as e:
|
||||
logger.warning(f"[{self.platform}] 监控循环警告: {e}")
|
||||
break
|
||||
|
||||
if not self.login_success:
|
||||
logger.warning(f"[{self.platform}] 登录超时")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[{self.platform}] 监控异常: {e}")
|
||||
finally:
|
||||
await self._cleanup()
|
||||
|
||||
async def _cleanup(self) -> None:
|
||||
"""清理资源"""
|
||||
if self.context:
|
||||
try:
|
||||
await self.context.close()
|
||||
except Exception:
|
||||
pass
|
||||
self.context = None
|
||||
if self.browser:
|
||||
try:
|
||||
await self.browser.close()
|
||||
except Exception:
|
||||
pass
|
||||
self.browser = None
|
||||
if self.playwright:
|
||||
try:
|
||||
await self.playwright.stop()
|
||||
except Exception:
|
||||
pass
|
||||
self.playwright = None
|
||||
|
||||
initial_url = page.url
|
||||
_verify_detected_at: Optional[int] = None # 检测到需要验证的时间点(循环计数)
|
||||
|
||||
for i in range(self.LOGIN_TIMEOUT):
|
||||
await asyncio.sleep(1)
|
||||
if not self.context:
|
||||
break
|
||||
|
||||
try:
|
||||
# ── 检查 session cookie ──
|
||||
cookies = [dict(c) for c in await self.context.cookies()]
|
||||
cookie_names = [c.get("name") for c in cookies]
|
||||
has_session = any(n in cookie_names for n in target_cookies) if target_cookies else False
|
||||
current_url = page.url
|
||||
|
||||
# 每10秒打一次日志
|
||||
if i % 10 == 0:
|
||||
logger.info(
|
||||
f"[{self.platform}] 等待登录... i={i} "
|
||||
f"URL={current_url[:80]} session={has_session} "
|
||||
f"cookies={len(cookies)}"
|
||||
)
|
||||
|
||||
# ── 成功条件:有 session cookie ──
|
||||
if has_session:
|
||||
logger.success(f"[{self.platform}] 登录成功!检测到session cookie")
|
||||
self.login_success = True
|
||||
await asyncio.sleep(2)
|
||||
final = [dict(c) for c in await self.context.cookies()]
|
||||
await self._save_cookies(final)
|
||||
break
|
||||
|
||||
# ── 成功条件:URL 跳转到目标页 ──
|
||||
if success_url in current_url:
|
||||
logger.success(f"[{self.platform}] 登录成功!URL={current_url[:80]}")
|
||||
self.login_success = True
|
||||
await asyncio.sleep(2)
|
||||
final = [dict(c) for c in await self.context.cookies()]
|
||||
await self._save_cookies(final)
|
||||
break
|
||||
|
||||
# ── 抖音:API 拦截到 redirect_url → 直接导航 ──
|
||||
if self.platform == "douyin" and self._qr_api_confirmed and self._qr_redirect_url:
|
||||
logger.info(f"[douyin] 导航到 redirect_url...")
|
||||
try:
|
||||
await page.goto(self._qr_redirect_url, wait_until="domcontentloaded", timeout=30000)
|
||||
except Exception:
|
||||
pass
|
||||
await asyncio.sleep(3)
|
||||
# 重置,下一轮循环会检查 cookie
|
||||
self._qr_api_confirmed = False
|
||||
self._qr_redirect_url = None
|
||||
continue
|
||||
|
||||
# ── 抖音:需要APP验证,点击"手机刷脸验证"选项 ──
|
||||
if self.platform == "douyin" and self._douyin_needs_verify:
|
||||
if _verify_detected_at is None:
|
||||
_verify_detected_at = i
|
||||
logger.info("[douyin] 检测到身份验证弹窗,将点击手机刷脸验证...")
|
||||
|
||||
elapsed = i - _verify_detected_at
|
||||
# 第一次:点击"手机刷脸验证"选项
|
||||
if elapsed == 2:
|
||||
try:
|
||||
clicked = await page.evaluate("""() => {
|
||||
// 查找身份验证弹窗中的选项
|
||||
const allEls = document.querySelectorAll('div, span, p, a, li');
|
||||
for (const el of allEls) {
|
||||
const text = (el.textContent || '').trim();
|
||||
// 点击"手机刷脸验证"
|
||||
if (text.includes('刷脸验证') && text.length < 30) {
|
||||
el.click();
|
||||
return '刷脸验证';
|
||||
}
|
||||
}
|
||||
return null;
|
||||
}""")
|
||||
if clicked:
|
||||
logger.info(f"[douyin] 已点击验证选项: {clicked}")
|
||||
else:
|
||||
logger.warning("[douyin] 未找到验证选项")
|
||||
except Exception as e:
|
||||
logger.warning(f"[douyin] 点击验证选项异常: {e}")
|
||||
|
||||
# 点击后等待新二维码出现,提取弹窗内二维码截图
|
||||
if elapsed == 5 and not self._face_verify_qr:
|
||||
try:
|
||||
# 用 JS 在"刷脸验证"弹窗内找最大的正方形 img(即二维码,跳过头像)
|
||||
qr_selector = await page.evaluate("""() => {
|
||||
// 找到包含"刷脸验证"文字的弹窗
|
||||
const allEls = document.querySelectorAll('div, h2, h3, span, p');
|
||||
let modal = null;
|
||||
for (const el of allEls) {
|
||||
const text = (el.textContent || '').trim();
|
||||
if (text.includes('刷脸验证') && text.length < 20) {
|
||||
modal = el;
|
||||
for (let i = 0; i < 8; i++) {
|
||||
if (!modal.parentElement) break;
|
||||
modal = modal.parentElement;
|
||||
if (modal.offsetWidth > 250 && modal.offsetHeight > 250) break;
|
||||
}
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (!modal) return null;
|
||||
|
||||
// 用 offsetWidth/Height(显示尺寸)而非 naturalWidth(源文件可能很大)
|
||||
const imgs = modal.querySelectorAll('img');
|
||||
let best = null;
|
||||
let bestArea = 0;
|
||||
for (const img of imgs) {
|
||||
const w = img.offsetWidth;
|
||||
const h = img.offsetHeight;
|
||||
if (w < 80 || h < 80) continue;
|
||||
const ratio = Math.abs(w - h) / Math.max(w, h);
|
||||
if (ratio > 0.3) continue;
|
||||
const area = w * h;
|
||||
if (area > bestArea) {
|
||||
bestArea = area;
|
||||
best = img;
|
||||
}
|
||||
}
|
||||
if (best) {
|
||||
best.setAttribute('data-face-qr', 'true');
|
||||
return 'img[data-face-qr="true"]';
|
||||
}
|
||||
return null;
|
||||
}""")
|
||||
|
||||
if qr_selector:
|
||||
qr_el = page.locator(qr_selector).first
|
||||
if await qr_el.is_visible():
|
||||
screenshot = await qr_el.screenshot()
|
||||
self._face_verify_qr = base64.b64encode(screenshot).decode()
|
||||
logger.info("[douyin] 刷脸弹窗内二维码截图已捕获")
|
||||
else:
|
||||
logger.warning("[douyin] 二维码元素不可见")
|
||||
|
||||
if not self._face_verify_qr:
|
||||
# 兜底:整页截图
|
||||
logger.warning("[douyin] 未在弹窗内找到二维码,使用全页截图")
|
||||
screenshot = await page.screenshot()
|
||||
self._face_verify_qr = base64.b64encode(screenshot).decode()
|
||||
except Exception as e:
|
||||
logger.warning(f"[douyin] 截取刷脸二维码异常: {e}")
|
||||
|
||||
# 之后每10秒打一次日志
|
||||
if elapsed > 0 and elapsed % 10 == 0:
|
||||
logger.info(f"[douyin] 等待用户完成手机验证... ({elapsed}s)")
|
||||
|
||||
except Exception as e:
|
||||
logger.warning(f"[{self.platform}] 监控异常: {e}")
|
||||
|
||||
if not self.login_success:
|
||||
logger.warning(f"[{self.platform}] 登录超时")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[{self.platform}] 监控异常: {e}")
|
||||
finally:
|
||||
await self._cleanup()
|
||||
|
||||
async def _cleanup(self) -> None:
|
||||
"""清理资源"""
|
||||
if self.context:
|
||||
try:
|
||||
await self.context.close()
|
||||
except Exception:
|
||||
pass
|
||||
self.context = None
|
||||
if self.browser:
|
||||
try:
|
||||
await self.browser.close()
|
||||
except Exception:
|
||||
pass
|
||||
self.browser = None
|
||||
if self.playwright:
|
||||
try:
|
||||
await self.playwright.stop()
|
||||
except Exception:
|
||||
pass
|
||||
self.playwright = None
|
||||
|
||||
async def _save_cookies(self, cookies: Sequence[Mapping[str, Any]]) -> None:
|
||||
"""保存Cookie到文件"""
|
||||
try:
|
||||
cookie_file = self.cookies_dir / f"{self.platform}_cookies.json"
|
||||
|
||||
if self.platform == "bilibili":
|
||||
# Bilibili 使用简单格式 (biliup库需要)
|
||||
"""保存Cookie到文件"""
|
||||
try:
|
||||
cookie_file = self.cookies_dir / f"{self.platform}_cookies.json"
|
||||
|
||||
if self.platform == "bilibili":
|
||||
# Bilibili 使用简单格式 (biliup库需要)
|
||||
cookie_dict = {c.get('name'): c.get('value') for c in cookies if c.get('name')}
|
||||
required = ['SESSDATA', 'bili_jct', 'DedeUserID', 'DedeUserID__ckMd5']
|
||||
cookie_dict = {k: v for k, v in cookie_dict.items() if k in required}
|
||||
|
||||
with open(cookie_file, 'w', encoding='utf-8') as f:
|
||||
json.dump(cookie_dict, f, indent=2)
|
||||
self.cookies_data = cookie_dict
|
||||
else:
|
||||
# Douyin/Xiaohongshu 使用 Playwright storage_state 完整格式
|
||||
# 这样可以直接用 browser.new_context(storage_state=file)
|
||||
storage_state = {
|
||||
"cookies": cookies,
|
||||
"origins": []
|
||||
}
|
||||
with open(cookie_file, 'w', encoding='utf-8') as f:
|
||||
json.dump(storage_state, f, indent=2)
|
||||
self.cookies_data = storage_state
|
||||
|
||||
logger.success(f"[{self.platform}] Cookie已保存")
|
||||
except Exception as e:
|
||||
logger.error(f"[{self.platform}] 保存Cookie失败: {e}")
|
||||
|
||||
def get_login_status(self) -> Dict[str, Any]:
|
||||
"""获取登录状态"""
|
||||
return {
|
||||
"success": self.login_success,
|
||||
"cookies_saved": self.cookies_data is not None
|
||||
}
|
||||
required = ['SESSDATA', 'bili_jct', 'DedeUserID', 'DedeUserID__ckMd5']
|
||||
cookie_dict = {k: v for k, v in cookie_dict.items() if k in required}
|
||||
|
||||
with open(cookie_file, 'w', encoding='utf-8') as f:
|
||||
json.dump(cookie_dict, f, indent=2)
|
||||
self.cookies_data = cookie_dict
|
||||
else:
|
||||
# Douyin/Xiaohongshu 使用 Playwright storage_state 完整格式
|
||||
# 这样可以直接用 browser.new_context(storage_state=file)
|
||||
storage_state = {
|
||||
"cookies": cookies,
|
||||
"origins": []
|
||||
}
|
||||
with open(cookie_file, 'w', encoding='utf-8') as f:
|
||||
json.dump(storage_state, f, indent=2)
|
||||
self.cookies_data = storage_state
|
||||
|
||||
logger.success(f"[{self.platform}] Cookie已保存")
|
||||
except Exception as e:
|
||||
logger.error(f"[{self.platform}] 保存Cookie失败: {e}")
|
||||
|
||||
def get_login_status(self) -> Dict[str, Any]:
|
||||
"""获取登录状态"""
|
||||
result: Dict[str, Any] = {
|
||||
"success": self.login_success,
|
||||
"cookies_saved": self.cookies_data is not None
|
||||
}
|
||||
# 刷脸验证:返回新二维码截图给前端展示
|
||||
if self._face_verify_qr:
|
||||
result["face_verify_qr"] = self._face_verify_qr
|
||||
return result
|
||||
|
||||
@@ -5,7 +5,9 @@ Remotion 视频渲染服务
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
import os
|
||||
import subprocess
|
||||
from collections.abc import Callable
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
from loguru import logger
|
||||
@@ -28,12 +30,15 @@ class RemotionService:
|
||||
output_path: str,
|
||||
captions_path: Optional[str] = None,
|
||||
title: Optional[str] = None,
|
||||
title_duration: float = 3.0,
|
||||
title_duration: float = 4.0,
|
||||
title_display_mode: str = "short",
|
||||
fps: int = 25,
|
||||
enable_subtitles: bool = True,
|
||||
subtitle_style: Optional[dict] = None,
|
||||
title_style: Optional[dict] = None,
|
||||
on_progress: Optional[callable] = None
|
||||
secondary_title: Optional[str] = None,
|
||||
secondary_title_style: Optional[dict] = None,
|
||||
on_progress: Optional[Callable[[int], None]] = None
|
||||
) -> str:
|
||||
"""
|
||||
使用 Remotion 渲染视频(添加字幕和标题)
|
||||
@@ -44,6 +49,7 @@ class RemotionService:
|
||||
captions_path: 字幕 JSON 文件路径(Whisper 生成)
|
||||
title: 视频标题(可选)
|
||||
title_duration: 标题显示时长(秒)
|
||||
title_display_mode: 标题显示模式(short/persistent)
|
||||
fps: 帧率
|
||||
enable_subtitles: 是否启用字幕
|
||||
on_progress: 进度回调函数
|
||||
@@ -74,6 +80,7 @@ class RemotionService:
|
||||
if title:
|
||||
cmd.extend(["--title", title])
|
||||
cmd.extend(["--titleDuration", str(title_duration)])
|
||||
cmd.extend(["--titleDisplayMode", title_display_mode])
|
||||
|
||||
if subtitle_style:
|
||||
cmd.extend(["--subtitleStyle", json.dumps(subtitle_style, ensure_ascii=False)])
|
||||
@@ -81,6 +88,12 @@ class RemotionService:
|
||||
if title_style:
|
||||
cmd.extend(["--titleStyle", json.dumps(title_style, ensure_ascii=False)])
|
||||
|
||||
if secondary_title:
|
||||
cmd.extend(["--secondaryTitle", secondary_title])
|
||||
|
||||
if secondary_title_style:
|
||||
cmd.extend(["--secondaryTitleStyle", json.dumps(secondary_title_style, ensure_ascii=False)])
|
||||
|
||||
logger.info(f"Running Remotion render: {' '.join(cmd)}")
|
||||
|
||||
# 在线程池中运行子进程
|
||||
@@ -94,8 +107,12 @@ class RemotionService:
|
||||
bufsize=1
|
||||
)
|
||||
|
||||
if process.stdout is None:
|
||||
raise RuntimeError("Remotion process stdout is unavailable")
|
||||
stdout = process.stdout
|
||||
|
||||
output_lines = []
|
||||
for line in iter(process.stdout.readline, ''):
|
||||
for line in iter(stdout.readline, ''):
|
||||
line = line.strip()
|
||||
if line:
|
||||
output_lines.append(line)
|
||||
@@ -114,6 +131,16 @@ class RemotionService:
|
||||
process.wait()
|
||||
|
||||
if process.returncode != 0:
|
||||
# Remotion 渲染可能在完成输出后进程崩溃 (如 SIGABRT code -6)
|
||||
# 如果输出文件已存在且大小合理,视为成功
|
||||
output_file = Path(output_path)
|
||||
if output_file.exists() and output_file.stat().st_size > 1024:
|
||||
logger.warning(
|
||||
f"Remotion process exited with code {process.returncode}, "
|
||||
f"but output file exists ({output_file.stat().st_size} bytes). Treating as success."
|
||||
)
|
||||
return output_path
|
||||
|
||||
error_msg = "\n".join(output_lines[-20:]) # 最后 20 行
|
||||
raise RuntimeError(f"Remotion render failed (code {process.returncode}):\n{error_msg}")
|
||||
|
||||
|
||||
@@ -10,9 +10,9 @@ import os
|
||||
import shutil
|
||||
|
||||
# Supabase Storage 本地存储根目录(从环境变量读取,支持不同部署环境)
|
||||
SUPABASE_STORAGE_LOCAL_PATH = Path(
|
||||
os.getenv("SUPABASE_STORAGE_LOCAL_PATH", "/home/rongye/ProgramFiles/Supabase/volumes/storage/stub/stub")
|
||||
)
|
||||
# Supabase Storage 本地存储根目录(从环境变量读取,支持不同部署环境)
|
||||
_default_storage_path = "/var/lib/supabase/storage" # 生产环境默认路径
|
||||
SUPABASE_STORAGE_LOCAL_PATH = Path(os.getenv("SUPABASE_STORAGE_LOCAL_PATH", _default_storage_path))
|
||||
|
||||
class StorageService:
|
||||
def __init__(self):
|
||||
@@ -20,12 +20,13 @@ class StorageService:
|
||||
self.BUCKET_MATERIALS = "materials"
|
||||
self.BUCKET_OUTPUTS = "outputs"
|
||||
self.BUCKET_REF_AUDIOS = "ref-audios"
|
||||
self.BUCKET_GENERATED_AUDIOS = "generated-audios"
|
||||
# 确保所有 bucket 存在
|
||||
self._ensure_buckets()
|
||||
|
||||
def _ensure_buckets(self):
|
||||
"""确保所有必需的 bucket 存在"""
|
||||
buckets = [self.BUCKET_MATERIALS, self.BUCKET_OUTPUTS, self.BUCKET_REF_AUDIOS]
|
||||
buckets = [self.BUCKET_MATERIALS, self.BUCKET_OUTPUTS, self.BUCKET_REF_AUDIOS, self.BUCKET_GENERATED_AUDIOS]
|
||||
try:
|
||||
existing = self.supabase.storage.list_buckets()
|
||||
existing_names = {b.name for b in existing} if existing else set()
|
||||
|
||||
@@ -127,6 +127,22 @@ class WeixinUploader(BaseUploader):
|
||||
return False
|
||||
|
||||
def _attach_debug_listeners(self, page) -> None:
|
||||
# post_create 响应监听始终注册(不依赖 debug 开关)
|
||||
def log_post_create(response):
|
||||
try:
|
||||
url = response.url or ""
|
||||
if "/post/post_create" in url:
|
||||
if response.status < 400:
|
||||
self._post_create_submitted = True
|
||||
logger.info("[weixin][publish] post_create API ok")
|
||||
else:
|
||||
self._publish_api_error = f"发布请求失败(HTTP {response.status})"
|
||||
logger.warning(f"[weixin][publish] post_create_failed status={response.status}")
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
page.on("response", log_post_create)
|
||||
|
||||
if not self._debug_artifacts_enabled():
|
||||
return
|
||||
|
||||
@@ -1210,15 +1226,7 @@ class WeixinUploader(BaseUploader):
|
||||
return False
|
||||
|
||||
async def _wait_for_publish_result(self, page):
|
||||
success_texts = [
|
||||
"\u53d1\u5e03\u6210\u529f",
|
||||
"\u53d1\u5e03\u5b8c\u6210",
|
||||
"\u5df2\u53d1\u5e03",
|
||||
"\u5ba1\u6838\u4e2d",
|
||||
"\u5f85\u5ba1\u6838",
|
||||
"\u63d0\u4ea4\u6210\u529f",
|
||||
"\u5df2\u63d0\u4ea4",
|
||||
]
|
||||
"""点击发表后等待结果:页面离开创建页即视为成功"""
|
||||
failure_texts = [
|
||||
"\u53d1\u5e03\u5931\u8d25",
|
||||
"\u53d1\u5e03\u5f02\u5e38",
|
||||
@@ -1229,38 +1237,33 @@ class WeixinUploader(BaseUploader):
|
||||
"\u7f51\u7edc\u5f02\u5e38",
|
||||
]
|
||||
|
||||
# 记录点击发表时的 URL,用于判断是否跳转
|
||||
create_url = page.url
|
||||
start_time = time.time()
|
||||
last_capture = -1
|
||||
|
||||
while time.time() - start_time < self.PUBLISH_TIMEOUT:
|
||||
current_url = page.url
|
||||
|
||||
# API 层面报错 → 直接失败
|
||||
if self._publish_api_error:
|
||||
return False, self._publish_api_error, False
|
||||
|
||||
if self._post_create_submitted and (
|
||||
"/post/list" in current_url
|
||||
or "/platform/post/list" in current_url
|
||||
):
|
||||
return True, "发布成功:已进入内容列表", False
|
||||
# 核心判定:URL 离开了创建页(跳转到列表页或其他页面)→ 发布成功
|
||||
if current_url != create_url and "/post/create" not in current_url:
|
||||
logger.info(f"[weixin] page navigated away from create page: {current_url}")
|
||||
return True, "发布成功:页面已跳转", False
|
||||
|
||||
if "channels.weixin.qq.com/platform" in current_url:
|
||||
for text in success_texts:
|
||||
if await self._is_text_visible(page, text, exact=False):
|
||||
return True, f"发布成功:{text}", False
|
||||
# post_create API 已确认成功 → 也视为成功
|
||||
if self._post_create_submitted:
|
||||
logger.info("[weixin] post_create API confirmed success")
|
||||
return True, "发布成功:API 已确认", False
|
||||
|
||||
# 检查页面上的失败文案
|
||||
for text in failure_texts:
|
||||
if await self._is_text_visible(page, text, exact=False):
|
||||
return False, f"发布失败:{text}", False
|
||||
|
||||
for text in success_texts:
|
||||
if await self._is_text_visible(page, text, exact=False):
|
||||
return True, f"发布成功:{text}", False
|
||||
|
||||
logger.info("[weixin] waiting for publish result...")
|
||||
elapsed = int(time.time() - start_time)
|
||||
if elapsed % 20 == 0 and elapsed != last_capture:
|
||||
last_capture = elapsed
|
||||
await self._save_debug_screenshot(page, "publish_waiting")
|
||||
await asyncio.sleep(self.POLL_INTERVAL)
|
||||
|
||||
return False, "发布超时", True
|
||||
|
||||
@@ -9,9 +9,110 @@ from pathlib import Path
|
||||
from loguru import logger
|
||||
from typing import Optional
|
||||
|
||||
class VideoService:
|
||||
def __init__(self):
|
||||
pass
|
||||
class VideoService:
|
||||
def __init__(self):
|
||||
pass
|
||||
|
||||
def get_video_metadata(self, file_path: str) -> dict:
|
||||
"""获取视频元信息(含旋转角与有效显示分辨率)"""
|
||||
cmd = [
|
||||
"ffprobe", "-v", "error",
|
||||
"-select_streams", "v:0",
|
||||
"-show_entries", "stream=width,height:stream_side_data=rotation",
|
||||
"-of", "json",
|
||||
file_path,
|
||||
]
|
||||
default_info = {
|
||||
"width": 0,
|
||||
"height": 0,
|
||||
"rotation": 0,
|
||||
"effective_width": 0,
|
||||
"effective_height": 0,
|
||||
}
|
||||
|
||||
try:
|
||||
result = subprocess.run(cmd, capture_output=True, text=True, timeout=10)
|
||||
if result.returncode != 0:
|
||||
return default_info
|
||||
|
||||
payload = json.loads(result.stdout or "{}")
|
||||
streams = payload.get("streams") or []
|
||||
if not streams:
|
||||
return default_info
|
||||
|
||||
stream = streams[0]
|
||||
width = int(stream.get("width") or 0)
|
||||
height = int(stream.get("height") or 0)
|
||||
|
||||
rotation = 0
|
||||
for side_data in stream.get("side_data_list") or []:
|
||||
if not isinstance(side_data, dict):
|
||||
continue
|
||||
raw_rotation = side_data.get("rotation")
|
||||
if raw_rotation is None:
|
||||
continue
|
||||
try:
|
||||
rotation = int(round(float(str(raw_rotation))))
|
||||
except Exception:
|
||||
rotation = 0
|
||||
break
|
||||
|
||||
norm_rotation = rotation % 360
|
||||
if norm_rotation > 180:
|
||||
norm_rotation -= 360
|
||||
swap_wh = abs(norm_rotation) == 90
|
||||
|
||||
effective_width = height if swap_wh else width
|
||||
effective_height = width if swap_wh else height
|
||||
|
||||
return {
|
||||
"width": width,
|
||||
"height": height,
|
||||
"rotation": norm_rotation,
|
||||
"effective_width": effective_width,
|
||||
"effective_height": effective_height,
|
||||
}
|
||||
except Exception as e:
|
||||
logger.warning(f"获取视频元信息失败: {e}")
|
||||
return default_info
|
||||
|
||||
def normalize_orientation(self, video_path: str, output_path: str) -> str:
|
||||
"""将带旋转元数据的视频转为物理方向,避免后续流程忽略 rotation。"""
|
||||
info = self.get_video_metadata(video_path)
|
||||
rotation = int(info.get("rotation") or 0)
|
||||
if rotation == 0:
|
||||
return video_path
|
||||
|
||||
Path(output_path).parent.mkdir(parents=True, exist_ok=True)
|
||||
logger.info(
|
||||
f"检测到旋转元数据 rotation={rotation},归一化方向: "
|
||||
f"{info.get('effective_width', 0)}x{info.get('effective_height', 0)}"
|
||||
)
|
||||
|
||||
cmd = [
|
||||
"ffmpeg", "-y",
|
||||
"-i", video_path,
|
||||
"-map", "0:v:0",
|
||||
"-map", "0:a?",
|
||||
"-c:v", "libx264",
|
||||
"-preset", "fast",
|
||||
"-crf", "18",
|
||||
"-c:a", "copy",
|
||||
"-movflags", "+faststart",
|
||||
output_path,
|
||||
]
|
||||
|
||||
if self._run_ffmpeg(cmd):
|
||||
normalized = self.get_video_metadata(output_path)
|
||||
logger.info(
|
||||
"视频方向归一化完成: "
|
||||
f"coded={normalized.get('width', 0)}x{normalized.get('height', 0)}, "
|
||||
f"rotation={normalized.get('rotation', 0)}"
|
||||
)
|
||||
return output_path
|
||||
|
||||
logger.warning("视频方向归一化失败,回退使用原视频")
|
||||
return video_path
|
||||
|
||||
def _run_ffmpeg(self, cmd: list) -> bool:
|
||||
cmd_str = ' '.join(shlex.quote(str(c)) for c in cmd)
|
||||
@@ -138,3 +239,167 @@ class VideoService:
|
||||
return output_path
|
||||
else:
|
||||
raise RuntimeError("FFmpeg composition failed")
|
||||
|
||||
def concat_videos(self, video_paths: list, output_path: str, target_fps: int = 25) -> str:
|
||||
"""使用 FFmpeg concat demuxer 拼接多个视频片段"""
|
||||
if not video_paths:
|
||||
raise ValueError("No video segments to concat")
|
||||
|
||||
Path(output_path).parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# 生成 concat list 文件
|
||||
list_path = Path(output_path).parent / f"{Path(output_path).stem}_concat.txt"
|
||||
with open(list_path, "w", encoding="utf-8") as f:
|
||||
for vp in video_paths:
|
||||
f.write(f"file '{vp}'\n")
|
||||
|
||||
cmd = [
|
||||
"ffmpeg", "-y",
|
||||
"-f", "concat",
|
||||
"-safe", "0",
|
||||
"-fflags", "+genpts",
|
||||
"-i", str(list_path),
|
||||
"-an",
|
||||
"-vsync", "cfr",
|
||||
"-r", str(target_fps),
|
||||
"-c:v", "libx264",
|
||||
"-preset", "fast",
|
||||
"-crf", "18",
|
||||
"-pix_fmt", "yuv420p",
|
||||
"-movflags", "+faststart",
|
||||
output_path,
|
||||
]
|
||||
|
||||
try:
|
||||
if self._run_ffmpeg(cmd):
|
||||
return output_path
|
||||
else:
|
||||
raise RuntimeError("FFmpeg concat failed")
|
||||
finally:
|
||||
try:
|
||||
list_path.unlink(missing_ok=True)
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
def split_audio(self, audio_path: str, start: float, end: float, output_path: str) -> str:
|
||||
"""用 FFmpeg 按时间范围切分音频"""
|
||||
Path(output_path).parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
duration = end - start
|
||||
if duration <= 0:
|
||||
raise ValueError(f"Invalid audio split range: start={start}, end={end}, duration={duration}")
|
||||
|
||||
cmd = [
|
||||
"ffmpeg", "-y",
|
||||
"-ss", str(start),
|
||||
"-t", str(duration),
|
||||
"-i", audio_path,
|
||||
"-c", "copy",
|
||||
output_path,
|
||||
]
|
||||
|
||||
if self._run_ffmpeg(cmd):
|
||||
return output_path
|
||||
raise RuntimeError(f"FFmpeg audio split failed: {start}-{end}")
|
||||
|
||||
def get_resolution(self, file_path: str) -> tuple[int, int]:
|
||||
"""获取视频有效显示分辨率(考虑旋转元数据)。"""
|
||||
info = self.get_video_metadata(file_path)
|
||||
return (
|
||||
int(info.get("effective_width") or 0),
|
||||
int(info.get("effective_height") or 0),
|
||||
)
|
||||
|
||||
def prepare_segment(self, video_path: str, target_duration: float, output_path: str,
|
||||
target_resolution: Optional[tuple] = None, source_start: float = 0.0,
|
||||
source_end: Optional[float] = None, target_fps: Optional[int] = None) -> str:
|
||||
"""将素材视频裁剪或循环到指定时长(无音频)。
|
||||
target_resolution: (width, height) 如需统一分辨率则传入,否则保持原分辨率。
|
||||
source_start: 源视频截取起点(秒),默认 0。
|
||||
source_end: 源视频截取终点(秒),默认到素材结尾。
|
||||
target_fps: 输出帧率(可选),用于多素材拼接前统一时间基。
|
||||
"""
|
||||
Path(output_path).parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
video_dur = self._get_duration(video_path)
|
||||
if video_dur <= 0:
|
||||
video_dur = target_duration
|
||||
|
||||
clip_end = video_dur
|
||||
if source_end is not None:
|
||||
try:
|
||||
source_end_value = float(source_end)
|
||||
if source_end_value > source_start:
|
||||
clip_end = min(source_end_value, video_dur)
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
# 可用时长 = 从 source_start 到视频结尾
|
||||
available = max(clip_end - source_start, 0.1)
|
||||
needs_loop = target_duration > available
|
||||
needs_scale = target_resolution is not None
|
||||
needs_fps = bool(target_fps and target_fps > 0)
|
||||
has_source_end = clip_end < video_dur
|
||||
|
||||
# 当需要循环且存在截取范围时,先裁剪出片段,再循环裁剪后的文件
|
||||
# 避免 stream_loop 循环整个视频(而不是截取后的片段)
|
||||
actual_input = video_path
|
||||
trim_temp = None
|
||||
if needs_loop and (source_start > 0 or has_source_end):
|
||||
trim_temp = str(Path(output_path).parent / (Path(output_path).stem + "_trim_tmp.mp4"))
|
||||
trim_cmd = [
|
||||
"ffmpeg", "-y",
|
||||
"-ss", str(source_start),
|
||||
"-i", video_path,
|
||||
"-t", str(available),
|
||||
"-an",
|
||||
"-c:v", "libx264", "-preset", "fast", "-crf", "18",
|
||||
trim_temp,
|
||||
]
|
||||
if not self._run_ffmpeg(trim_cmd):
|
||||
raise RuntimeError(f"FFmpeg trim for loop failed: {video_path}")
|
||||
actual_input = trim_temp
|
||||
source_start = 0.0 # 已裁剪,不需要再 seek
|
||||
# 重新计算循环次数(基于裁剪后文件)
|
||||
available = self._get_duration(trim_temp) or available
|
||||
|
||||
loop_count = int(target_duration / available) + 1 if needs_loop else 0
|
||||
|
||||
cmd = ["ffmpeg", "-y"]
|
||||
if needs_loop:
|
||||
cmd.extend(["-stream_loop", str(loop_count)])
|
||||
if source_start > 0:
|
||||
cmd.extend(["-ss", str(source_start)])
|
||||
cmd.extend(["-i", actual_input, "-t", str(target_duration), "-an"])
|
||||
|
||||
filters = []
|
||||
if needs_fps:
|
||||
filters.append(f"fps={int(target_fps)}")
|
||||
if needs_scale:
|
||||
w, h = target_resolution
|
||||
filters.append(f"scale={w}:{h}:force_original_aspect_ratio=decrease,pad={w}:{h}:(ow-iw)/2:(oh-ih)/2")
|
||||
|
||||
if filters:
|
||||
cmd.extend(["-vf", ",".join(filters)])
|
||||
if needs_fps:
|
||||
cmd.extend(["-vsync", "cfr", "-r", str(int(target_fps))])
|
||||
|
||||
# 需要循环、缩放或指定起点时必须重编码,否则用 stream copy 保持原画质
|
||||
if needs_loop or needs_scale or source_start > 0 or has_source_end or needs_fps:
|
||||
cmd.extend(["-c:v", "libx264", "-preset", "fast", "-crf", "18"])
|
||||
else:
|
||||
cmd.extend(["-c:v", "copy"])
|
||||
|
||||
cmd.append(output_path)
|
||||
|
||||
try:
|
||||
if self._run_ffmpeg(cmd):
|
||||
return output_path
|
||||
raise RuntimeError(f"FFmpeg prepare_segment failed: {video_path}")
|
||||
finally:
|
||||
# 清理裁剪临时文件
|
||||
if trim_temp:
|
||||
try:
|
||||
Path(trim_temp).unlink(missing_ok=True)
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
@@ -1,37 +1,104 @@
|
||||
"""
|
||||
声音克隆服务
|
||||
通过 HTTP 调用 Qwen3-TTS 独立服务 (端口 8009)
|
||||
通过 HTTP 调用 CosyVoice 3.0 独立服务 (端口 8010)
|
||||
"""
|
||||
import httpx
|
||||
import asyncio
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
import httpx
|
||||
from loguru import logger
|
||||
|
||||
from app.core.config import settings
|
||||
|
||||
# Qwen3-TTS 服务地址
|
||||
QWEN_TTS_URL = "http://localhost:8009"
|
||||
# CosyVoice 3.0 服务地址
|
||||
VOICE_CLONE_URL = "http://localhost:8010"
|
||||
|
||||
|
||||
class VoiceCloneService:
|
||||
"""声音克隆服务 - 调用 Qwen3-TTS HTTP API"""
|
||||
"""声音克隆服务 - 调用 CosyVoice 3.0 HTTP API"""
|
||||
|
||||
def __init__(self):
|
||||
self.base_url = QWEN_TTS_URL
|
||||
self.base_url = VOICE_CLONE_URL
|
||||
# 健康状态缓存
|
||||
self._health_cache: Optional[dict] = None
|
||||
self._health_cache_time: float = 0
|
||||
# GPU 并发锁 (Serial Queue)
|
||||
self._lock = asyncio.Lock()
|
||||
|
||||
async def _generate_once(
|
||||
self,
|
||||
*,
|
||||
text: str,
|
||||
ref_audio_data: bytes,
|
||||
ref_text: str,
|
||||
language: str,
|
||||
speed: float = 1.0,
|
||||
max_retries: int = 4,
|
||||
) -> bytes:
|
||||
timeout = httpx.Timeout(240.0)
|
||||
|
||||
for attempt in range(max_retries):
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=timeout) as client:
|
||||
response = await client.post(
|
||||
f"{self.base_url}/generate",
|
||||
files={"ref_audio": ("ref.wav", ref_audio_data, "audio/wav")},
|
||||
data={
|
||||
"text": text,
|
||||
"ref_text": ref_text,
|
||||
"language": language,
|
||||
"speed": str(speed),
|
||||
},
|
||||
)
|
||||
|
||||
retryable = False
|
||||
reason = ""
|
||||
|
||||
if response.status_code in (429, 502, 503, 504):
|
||||
retryable = True
|
||||
reason = f"HTTP {response.status_code}"
|
||||
elif response.status_code == 500 and (
|
||||
"生成超时" in response.text or "timeout" in response.text.lower()
|
||||
):
|
||||
retryable = True
|
||||
reason = "upstream timeout"
|
||||
|
||||
if retryable and attempt < max_retries - 1:
|
||||
wait = 8 * (attempt + 1)
|
||||
logger.warning(
|
||||
f"Voice clone retryable error ({reason}), retrying in {wait}s "
|
||||
f"(attempt {attempt + 1}/{max_retries})"
|
||||
)
|
||||
await asyncio.sleep(wait)
|
||||
continue
|
||||
|
||||
response.raise_for_status()
|
||||
return response.content
|
||||
|
||||
except httpx.HTTPStatusError as e:
|
||||
logger.error(f"Voice clone API error: {e.response.status_code} - {e.response.text}")
|
||||
raise RuntimeError(f"声音克隆服务错误: {e.response.text}")
|
||||
except httpx.RequestError as e:
|
||||
if attempt < max_retries - 1:
|
||||
wait = 6 * (attempt + 1)
|
||||
logger.warning(
|
||||
f"Voice clone connection error: {e}; retrying in {wait}s "
|
||||
f"(attempt {attempt + 1}/{max_retries})"
|
||||
)
|
||||
await asyncio.sleep(wait)
|
||||
continue
|
||||
logger.error(f"Voice clone connection error: {e}")
|
||||
raise RuntimeError("无法连接声音克隆服务,请检查服务是否启动")
|
||||
|
||||
raise RuntimeError("声音克隆服务繁忙,请稍后重试")
|
||||
|
||||
async def generate_audio(
|
||||
self,
|
||||
text: str,
|
||||
ref_audio_path: str,
|
||||
ref_text: str,
|
||||
output_path: str,
|
||||
language: str = "Chinese"
|
||||
language: str = "Chinese",
|
||||
speed: float = 1.0,
|
||||
) -> str:
|
||||
"""
|
||||
使用声音克隆生成语音
|
||||
@@ -48,63 +115,52 @@ class VoiceCloneService:
|
||||
"""
|
||||
# 使用锁确保串行执行,避免 GPU 显存溢出
|
||||
async with self._lock:
|
||||
logger.info(f"🎤 Voice Clone: {text[:30]}...")
|
||||
logger.info(f"🎤 Voice Clone: {text[:30]}... (language={language})")
|
||||
Path(output_path).parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# 读取参考音频
|
||||
text = text.strip()
|
||||
if not text:
|
||||
raise RuntimeError("文本为空,无法生成语音")
|
||||
|
||||
with open(ref_audio_path, "rb") as f:
|
||||
ref_audio_data = f.read()
|
||||
|
||||
# 调用 Qwen3-TTS 服务
|
||||
timeout = httpx.Timeout(300.0) # 5分钟超时
|
||||
async with httpx.AsyncClient(timeout=timeout) as client:
|
||||
try:
|
||||
response = await client.post(
|
||||
f"{self.base_url}/generate",
|
||||
files={"ref_audio": ("ref.wav", ref_audio_data, "audio/wav")},
|
||||
data={
|
||||
"text": text,
|
||||
"ref_text": ref_text,
|
||||
"language": language
|
||||
}
|
||||
)
|
||||
response.raise_for_status()
|
||||
|
||||
# 保存返回的音频
|
||||
with open(output_path, "wb") as f:
|
||||
f.write(response.content)
|
||||
|
||||
logger.info(f"✅ Voice clone saved: {output_path}")
|
||||
return output_path
|
||||
|
||||
except httpx.HTTPStatusError as e:
|
||||
logger.error(f"Qwen3-TTS API error: {e.response.status_code} - {e.response.text}")
|
||||
raise RuntimeError(f"声音克隆服务错误: {e.response.text}")
|
||||
except httpx.RequestError as e:
|
||||
logger.error(f"Qwen3-TTS connection error: {e}")
|
||||
raise RuntimeError("无法连接声音克隆服务,请检查服务是否启动")
|
||||
# CosyVoice 内部自带 text_normalize 分段,无需客户端切分
|
||||
audio_bytes = await self._generate_once(
|
||||
text=text,
|
||||
ref_audio_data=ref_audio_data,
|
||||
ref_text=ref_text,
|
||||
language=language,
|
||||
speed=speed,
|
||||
)
|
||||
with open(output_path, "wb") as f:
|
||||
f.write(audio_bytes)
|
||||
logger.info(f"✅ Voice clone saved: {output_path}")
|
||||
return output_path
|
||||
|
||||
async def check_health(self) -> dict:
|
||||
"""健康检查"""
|
||||
import time
|
||||
|
||||
# 5分钟缓存
|
||||
# 30秒缓存
|
||||
now = time.time()
|
||||
if self._health_cache and (now - self._health_cache_time) < 300:
|
||||
return self._health_cache
|
||||
cached = self._health_cache
|
||||
if cached is not None and (now - self._health_cache_time) < 30:
|
||||
return cached
|
||||
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=5.0) as client:
|
||||
response = await client.get(f"{self.base_url}/health")
|
||||
response.raise_for_status()
|
||||
self._health_cache = response.json()
|
||||
payload = response.json()
|
||||
self._health_cache = payload
|
||||
self._health_cache_time = now
|
||||
return self._health_cache
|
||||
return payload
|
||||
except Exception as e:
|
||||
logger.warning(f"Qwen3-TTS health check failed: {e}")
|
||||
logger.warning(f"Voice clone health check failed: {e}")
|
||||
return {
|
||||
"service": "Qwen3-TTS Voice Clone",
|
||||
"model": "0.6B-Base",
|
||||
"service": "CosyVoice 3.0 Voice Clone",
|
||||
"model": "unknown",
|
||||
"ready": False,
|
||||
"gpu_id": 0,
|
||||
"error": str(e)
|
||||
|
||||
@@ -20,24 +20,41 @@ MAX_CHARS_PER_LINE = 12
|
||||
|
||||
def split_word_to_chars(word: str, start: float, end: float) -> list:
|
||||
"""
|
||||
将词拆分成单个字符,时间戳线性插值
|
||||
将词拆分成单个字符,时间戳线性插值。
|
||||
保留英文词前的空格(Whisper 输出如 " Hello"),用于正确重建英文字幕。
|
||||
|
||||
Args:
|
||||
word: 词文本
|
||||
word: 词文本(可能含前导空格)
|
||||
start: 词开始时间
|
||||
end: 词结束时间
|
||||
|
||||
Returns:
|
||||
单字符列表,每个包含 word/start/end
|
||||
"""
|
||||
# 保留前导空格(英文 Whisper 输出常见 " Hello" 形式)
|
||||
leading_space = ""
|
||||
if word and not word[0].strip():
|
||||
leading_space = " "
|
||||
word = word.lstrip()
|
||||
|
||||
tokens = []
|
||||
ascii_buffer = ""
|
||||
pending_space = False # 记录是否有待处理的空格(用于英文单词间距)
|
||||
|
||||
for char in word:
|
||||
if not char.strip():
|
||||
# 空格:flush ascii_buffer,标记下一个 token 需要前导空格
|
||||
if ascii_buffer:
|
||||
tokens.append(ascii_buffer)
|
||||
ascii_buffer = ""
|
||||
if tokens: # 仅在已有 token 时标记(避免开头重复空格)
|
||||
pending_space = True
|
||||
continue
|
||||
|
||||
if char.isascii() and char.isalnum():
|
||||
if pending_space and not ascii_buffer:
|
||||
ascii_buffer = " " # 将空格前置到新英文单词
|
||||
pending_space = False
|
||||
ascii_buffer += char
|
||||
continue
|
||||
|
||||
@@ -45,7 +62,9 @@ def split_word_to_chars(word: str, start: float, end: float) -> list:
|
||||
tokens.append(ascii_buffer)
|
||||
ascii_buffer = ""
|
||||
|
||||
tokens.append(char)
|
||||
prefix = " " if pending_space else ""
|
||||
pending_space = False
|
||||
tokens.append(prefix + char)
|
||||
|
||||
if ascii_buffer:
|
||||
tokens.append(ascii_buffer)
|
||||
@@ -54,7 +73,8 @@ def split_word_to_chars(word: str, start: float, end: float) -> list:
|
||||
return []
|
||||
|
||||
if len(tokens) == 1:
|
||||
return [{"word": tokens[0], "start": start, "end": end}]
|
||||
w = leading_space + tokens[0] if leading_space else tokens[0]
|
||||
return [{"word": w, "start": start, "end": end}]
|
||||
|
||||
# 线性插值时间戳
|
||||
duration = end - start
|
||||
@@ -64,8 +84,11 @@ def split_word_to_chars(word: str, start: float, end: float) -> list:
|
||||
for i, token in enumerate(tokens):
|
||||
token_start = start + i * token_duration
|
||||
token_end = start + (i + 1) * token_duration
|
||||
w = token
|
||||
if i == 0 and leading_space:
|
||||
w = leading_space + w
|
||||
result.append({
|
||||
"word": token,
|
||||
"word": w,
|
||||
"start": round(token_start, 3),
|
||||
"end": round(token_end, 3)
|
||||
})
|
||||
@@ -108,7 +131,7 @@ def split_segment_to_lines(words: List[dict], max_chars: int = MAX_CHARS_PER_LIN
|
||||
|
||||
if should_break and current_words:
|
||||
segments.append({
|
||||
"text": current_text,
|
||||
"text": current_text.strip(),
|
||||
"start": current_words[0]["start"],
|
||||
"end": current_words[-1]["end"],
|
||||
"words": current_words.copy()
|
||||
@@ -119,7 +142,7 @@ def split_segment_to_lines(words: List[dict], max_chars: int = MAX_CHARS_PER_LIN
|
||||
# 处理剩余的字
|
||||
if current_words:
|
||||
segments.append({
|
||||
"text": current_text,
|
||||
"text": current_text.strip(),
|
||||
"start": current_words[0]["start"],
|
||||
"end": current_words[-1]["end"],
|
||||
"words": current_words.copy()
|
||||
@@ -162,7 +185,9 @@ class WhisperService:
|
||||
self,
|
||||
audio_path: str,
|
||||
text: str,
|
||||
output_path: Optional[str] = None
|
||||
output_path: Optional[str] = None,
|
||||
language: str = "zh",
|
||||
original_text: Optional[str] = None,
|
||||
) -> dict:
|
||||
"""
|
||||
对音频进行转录,生成字级别时间戳
|
||||
@@ -171,12 +196,18 @@ class WhisperService:
|
||||
audio_path: 音频文件路径
|
||||
text: 原始文本(用于参考,但实际使用 whisper 转录结果)
|
||||
output_path: 可选,输出 JSON 文件路径
|
||||
language: 语言代码 (zh/en 等)
|
||||
original_text: 原始文案。非空时,Whisper 仅用于检测总时间范围,
|
||||
字幕文字用此原文替换(解决语言不匹配问题)
|
||||
|
||||
Returns:
|
||||
包含字级别时间戳的字典
|
||||
"""
|
||||
import asyncio
|
||||
|
||||
# 英文等西文需要更大的每行字数
|
||||
max_chars = 40 if language != "zh" else MAX_CHARS_PER_LINE
|
||||
|
||||
def _do_transcribe():
|
||||
model = self._load_model()
|
||||
|
||||
@@ -185,22 +216,26 @@ class WhisperService:
|
||||
# 转录并获取字级别时间戳
|
||||
segments_iter, info = model.transcribe(
|
||||
audio_path,
|
||||
language="zh",
|
||||
language=language,
|
||||
word_timestamps=True, # 启用字级别时间戳
|
||||
vad_filter=True, # 启用 VAD 过滤静音
|
||||
)
|
||||
|
||||
logger.info(f"Detected language: {info.language} (prob: {info.language_probability:.2f})")
|
||||
|
||||
# 收集 Whisper 转录结果(始终需要,用于获取时间范围)
|
||||
all_segments = []
|
||||
whisper_first_start = None
|
||||
whisper_last_end = None
|
||||
for segment in segments_iter:
|
||||
# 提取每个字的时间戳,并拆分成单字
|
||||
all_words = []
|
||||
if segment.words:
|
||||
for word_info in segment.words:
|
||||
word_text = word_info.word.strip()
|
||||
if word_text:
|
||||
# 将词拆分成单字,时间戳线性插值
|
||||
word_text = word_info.word
|
||||
if word_text.strip():
|
||||
if whisper_first_start is None:
|
||||
whisper_first_start = word_info.start
|
||||
whisper_last_end = word_info.end
|
||||
chars = split_word_to_chars(
|
||||
word_text,
|
||||
word_info.start,
|
||||
@@ -208,11 +243,72 @@ class WhisperService:
|
||||
)
|
||||
all_words.extend(chars)
|
||||
|
||||
# 将长段落按标点和字数拆分成多行
|
||||
if all_words:
|
||||
line_segments = split_segment_to_lines(all_words, MAX_CHARS_PER_LINE)
|
||||
line_segments = split_segment_to_lines(all_words, max_chars)
|
||||
all_segments.extend(line_segments)
|
||||
|
||||
# 如果提供了 original_text,用原文替换 Whisper 转录文字,保留语音节奏
|
||||
if original_text and original_text.strip() and whisper_first_start is not None:
|
||||
# 收集 Whisper 逐字时间戳(保留真实语音节奏)
|
||||
whisper_chars = []
|
||||
for seg in all_segments:
|
||||
whisper_chars.extend(seg.get("words", []))
|
||||
|
||||
# 用原文字符 + Whisper 节奏生成新的时间戳
|
||||
orig_chars = split_word_to_chars(
|
||||
original_text.strip(),
|
||||
whisper_first_start,
|
||||
whisper_last_end
|
||||
)
|
||||
|
||||
if orig_chars and len(whisper_chars) >= 2:
|
||||
# 将原文字符按比例映射到 Whisper 的时间节奏上
|
||||
n_w = len(whisper_chars)
|
||||
n_o = len(orig_chars)
|
||||
w_starts = [c["start"] for c in whisper_chars]
|
||||
w_final_end = whisper_chars[-1]["end"]
|
||||
|
||||
logger.info(
|
||||
f"Using original_text for subtitles (len={len(original_text)}), "
|
||||
f"rhythm-mapping {n_o} orig chars onto {n_w} Whisper chars, "
|
||||
f"time range: {whisper_first_start:.2f}-{whisper_last_end:.2f}s"
|
||||
)
|
||||
|
||||
remapped = []
|
||||
for i, oc in enumerate(orig_chars):
|
||||
# 原文第 i 个字符对应 Whisper 时间线的位置
|
||||
pos = (i / n_o) * n_w
|
||||
idx = min(int(pos), n_w - 1)
|
||||
frac = pos - idx
|
||||
t_start = (
|
||||
w_starts[idx] + frac * (w_starts[idx + 1] - w_starts[idx])
|
||||
if idx < n_w - 1
|
||||
else w_starts[idx] + frac * (w_final_end - w_starts[idx])
|
||||
)
|
||||
|
||||
# 结束时间 = 下一个字符的开始时间
|
||||
pos_next = ((i + 1) / n_o) * n_w
|
||||
idx_n = min(int(pos_next), n_w - 1)
|
||||
frac_n = pos_next - idx_n
|
||||
t_end = (
|
||||
w_starts[idx_n] + frac_n * (w_starts[idx_n + 1] - w_starts[idx_n])
|
||||
if idx_n < n_w - 1
|
||||
else w_starts[idx_n] + frac_n * (w_final_end - w_starts[idx_n])
|
||||
)
|
||||
|
||||
remapped.append({
|
||||
"word": oc["word"],
|
||||
"start": round(t_start, 3),
|
||||
"end": round(t_end, 3),
|
||||
})
|
||||
|
||||
all_segments = split_segment_to_lines(remapped, max_chars)
|
||||
logger.info(f"Rebuilt {len(all_segments)} subtitle segments (rhythm-mapped)")
|
||||
elif orig_chars:
|
||||
# Whisper 字符不足,退回线性插值
|
||||
all_segments = split_segment_to_lines(orig_chars, max_chars)
|
||||
logger.info(f"Rebuilt {len(all_segments)} subtitle segments (linear fallback)")
|
||||
|
||||
logger.info(f"Generated {len(all_segments)} subtitle segments")
|
||||
return {"segments": all_segments}
|
||||
|
||||
@@ -230,12 +326,13 @@ class WhisperService:
|
||||
|
||||
return result
|
||||
|
||||
async def transcribe(self, audio_path: str) -> str:
|
||||
async def transcribe(self, audio_path: str, language: str | None = None) -> str:
|
||||
"""
|
||||
仅转录文本(用于提取文案)
|
||||
|
||||
Args:
|
||||
audio_path: 音频/视频文件路径
|
||||
language: 语言代码,None 表示自动检测
|
||||
|
||||
Returns:
|
||||
纯文本内容
|
||||
@@ -249,7 +346,7 @@ class WhisperService:
|
||||
# 转录 (无需字级时间戳)
|
||||
segments_iter, _ = model.transcribe(
|
||||
audio_path,
|
||||
language="zh",
|
||||
language=language,
|
||||
word_timestamps=False,
|
||||
vad_filter=True,
|
||||
)
|
||||
|
||||
@@ -71,3 +71,18 @@ CREATE TRIGGER users_updated_at
|
||||
BEFORE UPDATE ON users
|
||||
FOR EACH ROW
|
||||
EXECUTE FUNCTION update_updated_at();
|
||||
|
||||
-- 8. 订单表(支付宝付费)
|
||||
CREATE TABLE IF NOT EXISTS orders (
|
||||
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
|
||||
user_id UUID REFERENCES users(id) ON DELETE CASCADE,
|
||||
out_trade_no TEXT UNIQUE NOT NULL,
|
||||
amount DECIMAL(10, 2) NOT NULL DEFAULT 999.00,
|
||||
status TEXT DEFAULT 'pending' CHECK (status IN ('pending', 'paid', 'failed')),
|
||||
trade_no TEXT,
|
||||
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
|
||||
paid_at TIMESTAMP WITH TIME ZONE
|
||||
);
|
||||
|
||||
CREATE INDEX IF NOT EXISTS idx_orders_user_id ON orders(user_id);
|
||||
CREATE INDEX IF NOT EXISTS idx_orders_out_trade_no ON orders(out_trade_no);
|
||||
|
||||
31
backend/package-lock.json
generated
Normal file
31
backend/package-lock.json
generated
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"name": "backend",
|
||||
"lockfileVersion": 3,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"dependencies": {
|
||||
"qrcode.react": "^4.2.0"
|
||||
}
|
||||
},
|
||||
"node_modules/qrcode.react": {
|
||||
"version": "4.2.0",
|
||||
"resolved": "https://registry.npmjs.org/qrcode.react/-/qrcode.react-4.2.0.tgz",
|
||||
"integrity": "sha512-QpgqWi8rD9DsS9EP3z7BT+5lY5SFhsqGjpgW5DY/i3mK4M9DTBNz3ErMi8BWYEfI3L0d8GIbGmcdFAS1uIRGjA==",
|
||||
"license": "ISC",
|
||||
"peerDependencies": {
|
||||
"react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0"
|
||||
}
|
||||
},
|
||||
"node_modules/react": {
|
||||
"version": "19.2.4",
|
||||
"resolved": "https://registry.npmjs.org/react/-/react-19.2.4.tgz",
|
||||
"integrity": "sha512-9nfp2hYpCwOjAN+8TZFGhtWEwgvWHXqESH8qT89AT/lWklpLON22Lc8pEtnpsZz7VmawabSU0gCjnj8aC0euHQ==",
|
||||
"license": "MIT",
|
||||
"peer": true,
|
||||
"engines": {
|
||||
"node": ">=0.10.0"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
5
backend/package.json
Normal file
5
backend/package.json
Normal file
@@ -0,0 +1,5 @@
|
||||
{
|
||||
"dependencies": {
|
||||
"qrcode.react": "^4.2.0"
|
||||
}
|
||||
}
|
||||
@@ -29,6 +29,9 @@ python-jose[cryptography]>=3.3.0
|
||||
passlib[bcrypt]>=1.7.4
|
||||
bcrypt==4.0.1
|
||||
|
||||
# 支付宝支付
|
||||
python-alipay-sdk>=3.6.0
|
||||
|
||||
# 字幕对齐
|
||||
faster-whisper>=1.0.0
|
||||
|
||||
|
||||
@@ -20,62 +20,81 @@ logger = logging.getLogger("Watchdog")
|
||||
# 服务配置
|
||||
SERVICES = [
|
||||
{
|
||||
"name": "vigent2-qwen-tts",
|
||||
"url": "http://localhost:8009/health",
|
||||
"name": "vigent2-cosyvoice",
|
||||
"url": "http://localhost:8010/health",
|
||||
"failures": 0,
|
||||
"threshold": 3,
|
||||
"threshold": 3, # 连续3次失败才重启(3×15s ≈ 45秒容忍期)
|
||||
"timeout": 10.0,
|
||||
"restart_cmd": ["pm2", "restart", "vigent2-qwen-tts"]
|
||||
"restart_cmd": ["pm2", "restart", "vigent2-cosyvoice"],
|
||||
"cooldown_until": 0, # 重启后的冷却截止时间戳
|
||||
"cooldown_sec": 45, # 重启后等待45秒再开始检查
|
||||
}
|
||||
]
|
||||
|
||||
async def check_service(service):
|
||||
"""检查单个服务健康状态"""
|
||||
# 冷却期内跳过检查
|
||||
now = time.time()
|
||||
if now < service.get("cooldown_until", 0):
|
||||
remaining = int(service["cooldown_until"] - now)
|
||||
logger.debug(f"⏳ 服务 {service['name']} 冷却中,剩余 {remaining}s")
|
||||
return True
|
||||
|
||||
try:
|
||||
timeout = service.get("timeout", 10.0)
|
||||
async with httpx.AsyncClient(timeout=timeout) as client:
|
||||
response = await client.get(service["url"])
|
||||
if response.status_code == 200:
|
||||
# 成功
|
||||
if service["failures"] > 0:
|
||||
logger.info(f"✅ 服务 {service['name']} 已恢复正常")
|
||||
service["failures"] = 0
|
||||
return True
|
||||
ready = True
|
||||
try:
|
||||
payload = response.json()
|
||||
ready = bool(payload.get("ready", True))
|
||||
except Exception:
|
||||
payload = {}
|
||||
|
||||
if ready:
|
||||
if service["failures"] > 0:
|
||||
logger.info(f"✅ 服务 {service['name']} 已恢复正常")
|
||||
service["failures"] = 0
|
||||
return True
|
||||
|
||||
logger.warning(f"⚠️ 服务 {service['name']} ready=false,健康检查未通过: {payload}")
|
||||
else:
|
||||
logger.warning(f"⚠️ 服务 {service['name']} 返回状态码 {response.status_code}")
|
||||
except Exception as e:
|
||||
logger.warning(f"⚠️ 无法连接服务 {service['name']}: {str(e)}")
|
||||
|
||||
|
||||
# 失败处理
|
||||
service["failures"] += 1
|
||||
logger.warning(f"❌ 服务 {service['name']} 连续失败 {service['failures']}/{service['threshold']} 次")
|
||||
|
||||
|
||||
if service["failures"] >= service['threshold']:
|
||||
logger.error(f"🚨 服务 {service['name']} 已达到失败阈值,正在重启...")
|
||||
try:
|
||||
subprocess.run(service["restart_cmd"], check=True)
|
||||
logger.info(f"♻️ 服务 {service['name']} 重启命令已发送")
|
||||
# 重启后给予一段宽限期 (例如 60秒) 不检查,等待服务启动
|
||||
service["failures"] = 0 # 重置计数
|
||||
return "restarting"
|
||||
service["failures"] = 0
|
||||
# 设置冷却期,等待服务完成启动和模型加载
|
||||
service["cooldown_until"] = time.time() + service.get("cooldown_sec", 120)
|
||||
return "restarting"
|
||||
except Exception as restart_error:
|
||||
logger.error(f"💥 重启服务 {service['name']} 失败: {restart_error}")
|
||||
|
||||
|
||||
return False
|
||||
|
||||
async def main():
|
||||
logger.info("🛡️ ViGent2 服务看门狗 (Watchdog) 已启动")
|
||||
|
||||
|
||||
# 启动时给所有服务一个初始冷却期,避免服务还没起来就被判定失败
|
||||
for service in SERVICES:
|
||||
service["cooldown_until"] = time.time() + 60
|
||||
|
||||
while True:
|
||||
# 并发检查所有服务
|
||||
for service in SERVICES:
|
||||
result = await check_service(service)
|
||||
if result == "restarting":
|
||||
# 如果有服务重启,额外等待包含启动时间
|
||||
pass
|
||||
|
||||
# 每 30 秒检查一次
|
||||
await asyncio.sleep(30)
|
||||
await check_service(service)
|
||||
|
||||
# 每 15 秒检查一次
|
||||
await asyncio.sleep(15)
|
||||
|
||||
if __name__ == "__main__":
|
||||
try:
|
||||
|
||||
86
frontend/package-lock.json
generated
86
frontend/package-lock.json
generated
@@ -8,13 +8,19 @@
|
||||
"name": "frontend",
|
||||
"version": "0.1.0",
|
||||
"dependencies": {
|
||||
"@dnd-kit/core": "^6.3.1",
|
||||
"@dnd-kit/sortable": "^10.0.0",
|
||||
"@dnd-kit/utilities": "^3.2.2",
|
||||
"@supabase/supabase-js": "^2.93.1",
|
||||
"axios": "^1.13.4",
|
||||
"lucide-react": "^0.563.0",
|
||||
"next": "16.1.1",
|
||||
"qrcode.react": "^4.2.0",
|
||||
"react": "19.2.3",
|
||||
"react-dom": "19.2.3",
|
||||
"swr": "^2.3.8"
|
||||
"sonner": "^2.0.7",
|
||||
"swr": "^2.3.8",
|
||||
"wavesurfer.js": "^7.12.1"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@tailwindcss/postcss": "^4",
|
||||
@@ -280,6 +286,59 @@
|
||||
"node": ">=6.9.0"
|
||||
}
|
||||
},
|
||||
"node_modules/@dnd-kit/accessibility": {
|
||||
"version": "3.1.1",
|
||||
"resolved": "https://registry.npmjs.org/@dnd-kit/accessibility/-/accessibility-3.1.1.tgz",
|
||||
"integrity": "sha512-2P+YgaXF+gRsIihwwY1gCsQSYnu9Zyj2py8kY5fFvUM1qm2WA2u639R6YNVfU4GWr+ZM5mqEsfHZZLoRONbemw==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"tslib": "^2.0.0"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"react": ">=16.8.0"
|
||||
}
|
||||
},
|
||||
"node_modules/@dnd-kit/core": {
|
||||
"version": "6.3.1",
|
||||
"resolved": "https://registry.npmjs.org/@dnd-kit/core/-/core-6.3.1.tgz",
|
||||
"integrity": "sha512-xkGBRQQab4RLwgXxoqETICr6S5JlogafbhNsidmrkVv2YRs5MLwpjoF2qpiGjQt8S9AoxtIV603s0GIUpY5eYQ==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"@dnd-kit/accessibility": "^3.1.1",
|
||||
"@dnd-kit/utilities": "^3.2.2",
|
||||
"tslib": "^2.0.0"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"react": ">=16.8.0",
|
||||
"react-dom": ">=16.8.0"
|
||||
}
|
||||
},
|
||||
"node_modules/@dnd-kit/sortable": {
|
||||
"version": "10.0.0",
|
||||
"resolved": "https://registry.npmjs.org/@dnd-kit/sortable/-/sortable-10.0.0.tgz",
|
||||
"integrity": "sha512-+xqhmIIzvAYMGfBYYnbKuNicfSsk4RksY2XdmJhT+HAC01nix6fHCztU68jooFiMUB01Ky3F0FyOvhG/BZrWkg==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"@dnd-kit/utilities": "^3.2.2",
|
||||
"tslib": "^2.0.0"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"@dnd-kit/core": "^6.3.0",
|
||||
"react": ">=16.8.0"
|
||||
}
|
||||
},
|
||||
"node_modules/@dnd-kit/utilities": {
|
||||
"version": "3.2.2",
|
||||
"resolved": "https://registry.npmjs.org/@dnd-kit/utilities/-/utilities-3.2.2.tgz",
|
||||
"integrity": "sha512-+MKAJEOfaBe5SmV6t34p80MMKhjvUz0vRrvVJbPT0WElzaOJ/1xs+D+KDv+tD/NE5ujfrChEcshd4fLn0wpiqg==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"tslib": "^2.0.0"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"react": ">=16.8.0"
|
||||
}
|
||||
},
|
||||
"node_modules/@emnapi/core": {
|
||||
"version": "1.8.1",
|
||||
"resolved": "https://registry.npmjs.org/@emnapi/core/-/core-1.8.1.tgz",
|
||||
@@ -5560,6 +5619,15 @@
|
||||
"node": ">=6"
|
||||
}
|
||||
},
|
||||
"node_modules/qrcode.react": {
|
||||
"version": "4.2.0",
|
||||
"resolved": "https://registry.npmjs.org/qrcode.react/-/qrcode.react-4.2.0.tgz",
|
||||
"integrity": "sha512-QpgqWi8rD9DsS9EP3z7BT+5lY5SFhsqGjpgW5DY/i3mK4M9DTBNz3ErMi8BWYEfI3L0d8GIbGmcdFAS1uIRGjA==",
|
||||
"license": "ISC",
|
||||
"peerDependencies": {
|
||||
"react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0"
|
||||
}
|
||||
},
|
||||
"node_modules/queue-microtask": {
|
||||
"version": "1.2.3",
|
||||
"resolved": "https://registry.npmjs.org/queue-microtask/-/queue-microtask-1.2.3.tgz",
|
||||
@@ -6006,6 +6074,16 @@
|
||||
"url": "https://github.com/sponsors/ljharb"
|
||||
}
|
||||
},
|
||||
"node_modules/sonner": {
|
||||
"version": "2.0.7",
|
||||
"resolved": "https://registry.npmjs.org/sonner/-/sonner-2.0.7.tgz",
|
||||
"integrity": "sha512-W6ZN4p58k8aDKA4XPcx2hpIQXBRAgyiWVkYhT7CvK6D3iAu7xjvVyhQHg2/iaKJZ1XVJ4r7XuwGL+WGEK37i9w==",
|
||||
"license": "MIT",
|
||||
"peerDependencies": {
|
||||
"react": "^18.0.0 || ^19.0.0 || ^19.0.0-rc",
|
||||
"react-dom": "^18.0.0 || ^19.0.0 || ^19.0.0-rc"
|
||||
}
|
||||
},
|
||||
"node_modules/source-map-js": {
|
||||
"version": "1.2.1",
|
||||
"resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.1.tgz",
|
||||
@@ -6600,6 +6678,12 @@
|
||||
"react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0"
|
||||
}
|
||||
},
|
||||
"node_modules/wavesurfer.js": {
|
||||
"version": "7.12.1",
|
||||
"resolved": "https://registry.npmjs.org/wavesurfer.js/-/wavesurfer.js-7.12.1.tgz",
|
||||
"integrity": "sha512-NswPjVHxk0Q1F/VMRemCPUzSojjuHHisQrBqQiRXg7MVbe3f5vQ6r0rTTXA/a/neC/4hnOEC4YpXca4LpH0SUg==",
|
||||
"license": "BSD-3-Clause"
|
||||
},
|
||||
"node_modules/which": {
|
||||
"version": "2.0.2",
|
||||
"resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
|
||||
|
||||
@@ -9,13 +9,19 @@
|
||||
"lint": "eslint"
|
||||
},
|
||||
"dependencies": {
|
||||
"@dnd-kit/core": "^6.3.1",
|
||||
"@dnd-kit/sortable": "^10.0.0",
|
||||
"@dnd-kit/utilities": "^3.2.2",
|
||||
"@supabase/supabase-js": "^2.93.1",
|
||||
"axios": "^1.13.4",
|
||||
"lucide-react": "^0.563.0",
|
||||
"next": "16.1.1",
|
||||
"qrcode.react": "^4.2.0",
|
||||
"react": "19.2.3",
|
||||
"react-dom": "19.2.3",
|
||||
"swr": "^2.3.8"
|
||||
"sonner": "^2.0.7",
|
||||
"swr": "^2.3.8",
|
||||
"wavesurfer.js": "^7.12.1"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@tailwindcss/postcss": "^4",
|
||||
|
||||
@@ -1,10 +1,12 @@
|
||||
'use client';
|
||||
|
||||
import { useState, useEffect } from 'react';
|
||||
import { useRouter } from 'next/navigation';
|
||||
import { getCurrentUser, User } from "@/shared/lib/auth";
|
||||
import api from "@/shared/api/axios";
|
||||
import { ApiResponse, unwrap } from "@/shared/api/types";
|
||||
import { useRouter } from 'next/navigation';
|
||||
import Link from 'next/link';
|
||||
import { getCurrentUser, User } from "@/shared/lib/auth";
|
||||
import api from "@/shared/api/axios";
|
||||
import { ApiResponse, unwrap } from "@/shared/api/types";
|
||||
import { toast } from "sonner";
|
||||
|
||||
interface UserListItem {
|
||||
id: string;
|
||||
@@ -18,7 +20,7 @@ interface UserListItem {
|
||||
|
||||
export default function AdminPage() {
|
||||
const router = useRouter();
|
||||
const [currentUser, setCurrentUser] = useState<User | null>(null);
|
||||
const [, setCurrentUser] = useState<User | null>(null);
|
||||
const [users, setUsers] = useState<UserListItem[]>([]);
|
||||
const [loading, setLoading] = useState(true);
|
||||
const [error, setError] = useState('');
|
||||
@@ -28,6 +30,7 @@ export default function AdminPage() {
|
||||
useEffect(() => {
|
||||
checkAdmin();
|
||||
fetchUsers();
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, []);
|
||||
|
||||
const checkAdmin = async () => {
|
||||
@@ -41,9 +44,9 @@ export default function AdminPage() {
|
||||
|
||||
const fetchUsers = async () => {
|
||||
try {
|
||||
const { data: res } = await api.get<ApiResponse<UserListItem[]>>('/api/admin/users');
|
||||
setUsers(unwrap(res));
|
||||
} catch (err) {
|
||||
const { data: res } = await api.get<ApiResponse<UserListItem[]>>('/api/admin/users');
|
||||
setUsers(unwrap(res));
|
||||
} catch {
|
||||
setError('获取用户列表失败');
|
||||
} finally {
|
||||
setLoading(false);
|
||||
@@ -57,7 +60,7 @@ export default function AdminPage() {
|
||||
expires_days: expireDays || null
|
||||
});
|
||||
fetchUsers();
|
||||
} catch (err) {
|
||||
} catch {
|
||||
// axios interceptor handles 401/403
|
||||
} finally {
|
||||
setActivatingId(null);
|
||||
@@ -70,8 +73,8 @@ export default function AdminPage() {
|
||||
try {
|
||||
await api.post(`/api/admin/users/${userId}/deactivate`);
|
||||
fetchUsers();
|
||||
} catch (err) {
|
||||
alert('操作失败');
|
||||
} catch {
|
||||
toast.error('操作失败');
|
||||
}
|
||||
};
|
||||
|
||||
@@ -106,9 +109,9 @@ export default function AdminPage() {
|
||||
<div className="max-w-6xl mx-auto">
|
||||
<div className="flex justify-between items-center mb-8">
|
||||
<h1 className="text-3xl font-bold text-white">用户管理</h1>
|
||||
<a href="/" className="text-purple-300 hover:text-purple-200">
|
||||
<Link href="/" className="text-purple-300 hover:text-purple-200">
|
||||
← 返回首页
|
||||
</a>
|
||||
</Link>
|
||||
</div>
|
||||
|
||||
{error && (
|
||||
|
||||
@@ -1,9 +1,10 @@
|
||||
import type { Metadata, Viewport } from "next";
|
||||
import { Geist, Geist_Mono } from "next/font/google";
|
||||
import "./globals.css";
|
||||
import { AuthProvider } from "@/contexts/AuthContext";
|
||||
import { TaskProvider } from "@/contexts/TaskContext";
|
||||
import GlobalTaskIndicator from "@/components/GlobalTaskIndicator";
|
||||
import { AuthProvider } from "@/shared/contexts/AuthContext";
|
||||
import { TaskProvider } from "@/shared/contexts/TaskContext";
|
||||
|
||||
import { Toaster } from "sonner";
|
||||
|
||||
const geistSans = Geist({
|
||||
variable: "--font-geist-sans",
|
||||
@@ -39,10 +40,17 @@ export default function RootLayout({
|
||||
>
|
||||
<AuthProvider>
|
||||
<TaskProvider>
|
||||
<GlobalTaskIndicator />
|
||||
{children}
|
||||
</TaskProvider>
|
||||
</AuthProvider>
|
||||
<Toaster
|
||||
position="top-center"
|
||||
richColors
|
||||
toastOptions={{
|
||||
duration: 3000,
|
||||
className: "text-sm",
|
||||
}}
|
||||
/>
|
||||
</body>
|
||||
</html>
|
||||
);
|
||||
|
||||
@@ -2,10 +2,12 @@
|
||||
|
||||
import { useState } from 'react';
|
||||
import { useRouter } from 'next/navigation';
|
||||
import { login } from "@/shared/lib/auth";
|
||||
import { login } from "@/shared/lib/auth";
|
||||
import { useAuth } from "@/shared/contexts/AuthContext";
|
||||
|
||||
export default function LoginPage() {
|
||||
const router = useRouter();
|
||||
const { setUser } = useAuth();
|
||||
const [phone, setPhone] = useState('');
|
||||
const [password, setPassword] = useState('');
|
||||
const [error, setError] = useState('');
|
||||
@@ -25,12 +27,16 @@ export default function LoginPage() {
|
||||
|
||||
try {
|
||||
const result = await login(phone, password);
|
||||
if (result.success) {
|
||||
if (result.paymentToken) {
|
||||
sessionStorage.setItem('payment_token', result.paymentToken);
|
||||
router.push('/pay');
|
||||
} else if (result.success) {
|
||||
if (result.user) setUser(result.user);
|
||||
router.push('/');
|
||||
} else {
|
||||
setError(result.message || '登录失败');
|
||||
}
|
||||
} catch (err) {
|
||||
} catch {
|
||||
setError('网络错误,请稍后重试');
|
||||
} finally {
|
||||
setLoading(false);
|
||||
|
||||
160
frontend/src/app/pay/page.tsx
Normal file
160
frontend/src/app/pay/page.tsx
Normal file
@@ -0,0 +1,160 @@
|
||||
'use client';
|
||||
|
||||
import { Suspense, useState, useEffect, useRef } from 'react';
|
||||
import { useRouter, useSearchParams } from 'next/navigation';
|
||||
import api from '@/shared/api/axios';
|
||||
|
||||
type PageStatus = 'loading' | 'redirecting' | 'checking' | 'success' | 'error';
|
||||
|
||||
function PayContent() {
|
||||
const router = useRouter();
|
||||
const searchParams = useSearchParams();
|
||||
const [status, setStatus] = useState<PageStatus>('loading');
|
||||
const [errorMsg, setErrorMsg] = useState('');
|
||||
const pollRef = useRef<ReturnType<typeof setInterval> | null>(null);
|
||||
|
||||
useEffect(() => {
|
||||
const outTradeNo = searchParams.get('out_trade_no');
|
||||
if (outTradeNo) {
|
||||
setStatus('checking');
|
||||
startPolling(outTradeNo);
|
||||
return;
|
||||
}
|
||||
|
||||
const token = sessionStorage.getItem('payment_token');
|
||||
if (!token) {
|
||||
router.replace('/login');
|
||||
return;
|
||||
}
|
||||
createOrder(token);
|
||||
|
||||
return () => {
|
||||
if (pollRef.current) clearInterval(pollRef.current);
|
||||
};
|
||||
}, []);
|
||||
|
||||
const createOrder = async (token: string) => {
|
||||
try {
|
||||
const { data } = await api.post('/api/payment/create-order', { payment_token: token });
|
||||
const { pay_url } = data.data;
|
||||
setStatus('redirecting');
|
||||
window.location.href = pay_url;
|
||||
} catch (err: any) {
|
||||
setStatus('error');
|
||||
setErrorMsg(err.response?.data?.message || '创建订单失败,请重新登录');
|
||||
}
|
||||
};
|
||||
|
||||
const startPolling = (tradeNo: string) => {
|
||||
checkStatus(tradeNo);
|
||||
pollRef.current = setInterval(() => checkStatus(tradeNo), 3000);
|
||||
};
|
||||
|
||||
const checkStatus = async (tradeNo: string) => {
|
||||
try {
|
||||
const { data } = await api.get(`/api/payment/status/${tradeNo}`);
|
||||
if (data.data.status === 'paid') {
|
||||
if (pollRef.current) clearInterval(pollRef.current);
|
||||
setStatus('success');
|
||||
sessionStorage.removeItem('payment_token');
|
||||
setTimeout(() => router.replace('/login'), 3000);
|
||||
}
|
||||
} catch {
|
||||
// ignore polling errors
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<div className="w-full max-w-md p-8 bg-white/10 backdrop-blur-lg rounded-2xl shadow-2xl border border-white/20">
|
||||
{(status === 'loading' || status === 'redirecting') && (
|
||||
<div className="text-center">
|
||||
<div className="mb-6">
|
||||
<svg className="animate-spin h-12 w-12 mx-auto text-purple-400" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24">
|
||||
<circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4"></circle>
|
||||
<path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path>
|
||||
</svg>
|
||||
</div>
|
||||
<p className="text-gray-300">
|
||||
{status === 'loading' ? '正在创建订单...' : '正在跳转到支付宝...'}
|
||||
</p>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{status === 'checking' && (
|
||||
<div className="text-center">
|
||||
<h1 className="text-2xl font-bold text-white mb-6">支付确认中</h1>
|
||||
<div className="flex items-center justify-center gap-2 text-purple-300 mb-4">
|
||||
<svg className="animate-spin h-5 w-5" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24">
|
||||
<circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4"></circle>
|
||||
<path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path>
|
||||
</svg>
|
||||
正在确认支付结果...
|
||||
</div>
|
||||
<p className="text-gray-400 text-sm">如果您已完成支付,请稍候</p>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{status === 'success' && (
|
||||
<div className="text-center">
|
||||
<div className="mb-6">
|
||||
<svg className="w-16 h-16 mx-auto text-green-400" fill="none" stroke="currentColor" viewBox="0 0 24 24">
|
||||
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M9 12l2 2 4-4m6 2a9 9 0 11-18 0 9 9 0 0118 0z" />
|
||||
</svg>
|
||||
</div>
|
||||
<h2 className="text-2xl font-bold text-white mb-4">支付成功!</h2>
|
||||
<p className="text-gray-300 mb-2">会员已开通,即将跳转到登录页...</p>
|
||||
<p className="text-gray-500 text-sm">请重新登录即可使用</p>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{status === 'error' && (
|
||||
<div className="text-center">
|
||||
<div className="mb-6">
|
||||
<svg className="w-16 h-16 mx-auto text-red-400" fill="none" stroke="currentColor" viewBox="0 0 24 24">
|
||||
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M12 8v4m0 4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z" />
|
||||
</svg>
|
||||
</div>
|
||||
<h2 className="text-2xl font-bold text-white mb-4">创建订单失败</h2>
|
||||
<p className="text-red-300 mb-6">{errorMsg}</p>
|
||||
<button
|
||||
onClick={() => router.replace('/login')}
|
||||
className="py-3 px-6 bg-gradient-to-r from-purple-600 to-pink-600 text-white font-semibold rounded-lg"
|
||||
>
|
||||
返回登录
|
||||
</button>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{status === 'checking' && (
|
||||
<div className="mt-6 text-center">
|
||||
<button
|
||||
onClick={() => {
|
||||
if (pollRef.current) clearInterval(pollRef.current);
|
||||
router.replace('/login');
|
||||
}}
|
||||
className="text-purple-300 hover:text-purple-200 text-sm"
|
||||
>
|
||||
返回登录
|
||||
</button>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default function PayPage() {
|
||||
return (
|
||||
<div className="min-h-dvh flex items-center justify-center">
|
||||
<Suspense fallback={
|
||||
<div className="w-full max-w-md p-8 bg-white/10 backdrop-blur-lg rounded-2xl shadow-2xl border border-white/20 text-center">
|
||||
<svg className="animate-spin h-12 w-12 mx-auto text-purple-400" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24">
|
||||
<circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4"></circle>
|
||||
<path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path>
|
||||
</svg>
|
||||
</div>
|
||||
}>
|
||||
<PayContent />
|
||||
</Suspense>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -2,10 +2,10 @@
|
||||
|
||||
import { useState } from 'react';
|
||||
import { useRouter } from 'next/navigation';
|
||||
import { register } from "@/shared/lib/auth";
|
||||
import { register } from "@/shared/lib/auth";
|
||||
|
||||
export default function RegisterPage() {
|
||||
const router = useRouter();
|
||||
useRouter(); // 保留以便后续扩展
|
||||
const [phone, setPhone] = useState('');
|
||||
const [password, setPassword] = useState('');
|
||||
const [confirmPassword, setConfirmPassword] = useState('');
|
||||
@@ -43,7 +43,7 @@ export default function RegisterPage() {
|
||||
} else {
|
||||
setError(result.message || '注册失败');
|
||||
}
|
||||
} catch (err) {
|
||||
} catch {
|
||||
setError('网络错误,请稍后重试');
|
||||
} finally {
|
||||
setLoading(false);
|
||||
@@ -61,7 +61,7 @@ export default function RegisterPage() {
|
||||
</div>
|
||||
<h2 className="text-2xl font-bold text-white mb-4">注册成功!</h2>
|
||||
<p className="text-gray-300 mb-6">
|
||||
您的账号已创建,请等待管理员审核激活后即可登录。
|
||||
注册成功!请返回登录页,登录后完成付费即可开通。
|
||||
</p>
|
||||
<a
|
||||
href="/login"
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
"use client";
|
||||
|
||||
import { useState, useEffect, useRef } from "react";
|
||||
import { useAuth } from "@/contexts/AuthContext";
|
||||
import { useAuth } from "@/shared/contexts/AuthContext";
|
||||
import api from "@/shared/api/axios";
|
||||
import { ApiResponse } from "@/shared/api/types";
|
||||
|
||||
@@ -44,7 +44,7 @@ export default function AccountSettingsDropdown() {
|
||||
if (confirm('确定要退出登录吗?')) {
|
||||
try {
|
||||
await api.post('/api/auth/logout');
|
||||
} catch (e) { }
|
||||
} catch { }
|
||||
window.location.href = '/login';
|
||||
}
|
||||
};
|
||||
@@ -76,14 +76,15 @@ export default function AccountSettingsDropdown() {
|
||||
setTimeout(async () => {
|
||||
try {
|
||||
await api.post('/api/auth/logout');
|
||||
} catch (e) { }
|
||||
} catch { }
|
||||
window.location.href = '/login';
|
||||
}, 1500);
|
||||
} else {
|
||||
setError(res.message || '修改失败');
|
||||
}
|
||||
} catch (err: any) {
|
||||
setError(err.response?.data?.message || '修改失败,请重试');
|
||||
} catch (err: unknown) {
|
||||
const axiosErr = err as { response?: { data?: { message?: string } } };
|
||||
setError(axiosErr.response?.data?.message || '修改失败,请重试');
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
@@ -105,6 +106,10 @@ export default function AccountSettingsDropdown() {
|
||||
{/* 下拉菜单 */}
|
||||
{isOpen && (
|
||||
<div className="absolute right-0 mt-2 bg-gray-800 border border-white/10 rounded-lg shadow-xl z-[160] overflow-hidden whitespace-nowrap">
|
||||
{/* 账户名称 */}
|
||||
<div className="px-3 py-2 border-b border-white/10 text-center">
|
||||
<div className="text-sm text-white font-medium">{user?.phone ? `${user.phone.slice(0, 3)}****${user.phone.slice(-4)}` : '未知账户'}</div>
|
||||
</div>
|
||||
{/* 有效期显示 */}
|
||||
<div className="px-3 py-2 border-b border-white/10 text-center">
|
||||
<div className="text-xs text-gray-400">账户有效期</div>
|
||||
@@ -187,6 +192,7 @@ export default function AccountSettingsDropdown() {
|
||||
onClick={() => {
|
||||
setShowPasswordModal(false);
|
||||
setError('');
|
||||
setSuccess('');
|
||||
setOldPassword('');
|
||||
setNewPassword('');
|
||||
setConfirmPassword('');
|
||||
|
||||
@@ -1,12 +1,15 @@
|
||||
"use client";
|
||||
|
||||
import { useTask } from "@/contexts/TaskContext";
|
||||
import { useTask } from "@/shared/contexts/TaskContext";
|
||||
import Link from "next/link";
|
||||
import { usePathname } from "next/navigation";
|
||||
|
||||
export default function GlobalTaskIndicator() {
|
||||
const { currentTask, isGenerating } = useTask();
|
||||
const pathname = usePathname();
|
||||
|
||||
if (!isGenerating) return null;
|
||||
// 首页已有专门的进度条展示,因此在首页不显示顶部全局进度条
|
||||
if (!isGenerating || pathname === "/") return null;
|
||||
|
||||
return (
|
||||
<div className="fixed top-0 left-0 right-0 z-50 bg-gradient-to-r from-purple-600 to-pink-600 text-white shadow-lg">
|
||||
|
||||
@@ -1,424 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import { useState, useEffect } from "react";
|
||||
import api from "@/shared/api/axios";
|
||||
import { ApiResponse, unwrap } from "@/shared/api/types";
|
||||
|
||||
interface ScriptExtractionModalProps {
|
||||
isOpen: boolean;
|
||||
onClose: () => void;
|
||||
onApply?: (text: string) => void;
|
||||
}
|
||||
|
||||
export default function ScriptExtractionModal({
|
||||
isOpen,
|
||||
onClose,
|
||||
onApply
|
||||
}: ScriptExtractionModalProps) {
|
||||
const [isLoading, setIsLoading] = useState(false);
|
||||
const [script, setScript] = useState("");
|
||||
const [rewrittenScript, setRewrittenScript] = useState("");
|
||||
const [error, setError] = useState<string | null>(null);
|
||||
const [doRewrite, setDoRewrite] = useState(true);
|
||||
const [step, setStep] = useState<'config' | 'processing' | 'result'>('config');
|
||||
const [dragActive, setDragActive] = useState(false);
|
||||
const [selectedFile, setSelectedFile] = useState<File | null>(null);
|
||||
|
||||
// New state for URL mode
|
||||
const [activeTab, setActiveTab] = useState<'file' | 'url'>('url');
|
||||
const [inputUrl, setInputUrl] = useState("");
|
||||
|
||||
// Reset state when modal opens
|
||||
useEffect(() => {
|
||||
if (isOpen) {
|
||||
setStep('config');
|
||||
setScript("");
|
||||
setRewrittenScript("");
|
||||
setError(null);
|
||||
setIsLoading(false);
|
||||
setSelectedFile(null);
|
||||
setInputUrl("");
|
||||
setActiveTab('url');
|
||||
}
|
||||
}, [isOpen]);
|
||||
|
||||
const handleDrag = (e: React.DragEvent) => {
|
||||
e.preventDefault();
|
||||
e.stopPropagation();
|
||||
if (e.type === "dragenter" || e.type === "dragover") {
|
||||
setDragActive(true);
|
||||
} else if (e.type === "dragleave") {
|
||||
setDragActive(false);
|
||||
}
|
||||
};
|
||||
|
||||
const handleDrop = (e: React.DragEvent) => {
|
||||
e.preventDefault();
|
||||
e.stopPropagation();
|
||||
setDragActive(false);
|
||||
if (e.dataTransfer.files && e.dataTransfer.files[0]) {
|
||||
handleFile(e.dataTransfer.files[0]);
|
||||
}
|
||||
};
|
||||
|
||||
const handleFileChange = (e: React.ChangeEvent<HTMLInputElement>) => {
|
||||
if (e.target.files && e.target.files[0]) {
|
||||
handleFile(e.target.files[0]);
|
||||
}
|
||||
};
|
||||
|
||||
const handleFile = (file: File) => {
|
||||
const validTypes = ['.mp4', '.mov', '.avi', '.mp3', '.wav', '.m4a'];
|
||||
const ext = file.name.toLowerCase().slice(file.name.lastIndexOf('.'));
|
||||
if (!validTypes.includes(ext)) {
|
||||
setError(`不支持的文件格式 ${ext},请上传视频或音频文件`);
|
||||
return;
|
||||
}
|
||||
setSelectedFile(file);
|
||||
setError(null);
|
||||
};
|
||||
|
||||
const handleExtract = async () => {
|
||||
if (activeTab === 'file' && !selectedFile) {
|
||||
setError("请先上传文件");
|
||||
return;
|
||||
}
|
||||
if (activeTab === 'url' && !inputUrl.trim()) {
|
||||
setError("请先输入视频链接");
|
||||
return;
|
||||
}
|
||||
|
||||
setIsLoading(true);
|
||||
setStep('processing');
|
||||
setError(null);
|
||||
|
||||
try {
|
||||
const formData = new FormData();
|
||||
if (activeTab === 'file' && selectedFile) {
|
||||
formData.append('file', selectedFile);
|
||||
} else if (activeTab === 'url') {
|
||||
formData.append('url', inputUrl.trim());
|
||||
}
|
||||
formData.append('rewrite', doRewrite ? 'true' : 'false');
|
||||
|
||||
const { data: res } = await api.post<ApiResponse<{ original_script: string; rewritten_script?: string }>>(
|
||||
'/api/tools/extract-script',
|
||||
formData,
|
||||
{
|
||||
headers: { 'Content-Type': 'multipart/form-data' },
|
||||
timeout: 180000 // 3 minutes timeout
|
||||
});
|
||||
|
||||
const payload = unwrap(res);
|
||||
setScript(payload.original_script);
|
||||
setRewrittenScript(payload.rewritten_script || "");
|
||||
setStep('result');
|
||||
} catch (err: any) {
|
||||
console.error(err);
|
||||
const msg = err.response?.data?.message || err.message || "请求失败";
|
||||
setError(msg);
|
||||
setStep('config');
|
||||
} finally {
|
||||
setIsLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
const copyToClipboard = (text: string) => {
|
||||
if (navigator.clipboard && window.isSecureContext) {
|
||||
navigator.clipboard.writeText(text).then(() => {
|
||||
alert("已复制到剪贴板");
|
||||
}).catch(err => {
|
||||
console.error('Async: Could not copy text: ', err);
|
||||
fallbackCopyTextToClipboard(text);
|
||||
});
|
||||
} else {
|
||||
fallbackCopyTextToClipboard(text);
|
||||
}
|
||||
};
|
||||
|
||||
const fallbackCopyTextToClipboard = (text: string) => {
|
||||
var textArea = document.createElement("textarea");
|
||||
textArea.value = text;
|
||||
|
||||
// Avoid scrolling to bottom
|
||||
textArea.style.top = "0";
|
||||
textArea.style.left = "0";
|
||||
textArea.style.position = "fixed";
|
||||
textArea.style.opacity = "0";
|
||||
|
||||
document.body.appendChild(textArea);
|
||||
textArea.focus();
|
||||
textArea.select();
|
||||
|
||||
try {
|
||||
var successful = document.execCommand('copy');
|
||||
var msg = successful ? 'successful' : 'unsuccessful';
|
||||
if (successful) {
|
||||
alert("已复制到剪贴板");
|
||||
} else {
|
||||
alert("复制失败,请手动复制");
|
||||
}
|
||||
} catch (err) {
|
||||
console.error('Fallback: Oops, unable to copy', err);
|
||||
alert("复制失败,请手动复制");
|
||||
}
|
||||
|
||||
document.body.removeChild(textArea);
|
||||
};
|
||||
|
||||
// Close when clicking outside - DISABLED as per user request
|
||||
// const modalRef = useRef<HTMLDivElement>(null);
|
||||
// const handleBackdropClick = (e: React.MouseEvent) => {
|
||||
// if (modalRef.current && !modalRef.current.contains(e.target as Node)) {
|
||||
// onClose();
|
||||
// }
|
||||
// };
|
||||
|
||||
if (!isOpen) return null;
|
||||
|
||||
return (
|
||||
<div
|
||||
className="fixed inset-0 z-50 flex items-center justify-center bg-black/80 backdrop-blur-sm p-4 animate-in fade-in duration-200"
|
||||
>
|
||||
<div
|
||||
// ref={modalRef}
|
||||
className="bg-[#1a1a1a] border border-white/10 rounded-2xl w-full max-w-2xl max-h-[90vh] overflow-hidden flex flex-col shadow-2xl"
|
||||
>
|
||||
{/* Header */}
|
||||
<div className="flex items-center justify-between p-4 border-b border-white/10 bg-white/5">
|
||||
<h3 className="text-lg font-semibold text-white flex items-center gap-2">
|
||||
📜 文案提取助手
|
||||
</h3>
|
||||
<button
|
||||
onClick={onClose}
|
||||
className="text-gray-400 hover:text-white transition-colors text-2xl leading-none"
|
||||
>
|
||||
×
|
||||
</button>
|
||||
</div>
|
||||
|
||||
{/* Content */}
|
||||
<div className="flex-1 overflow-y-auto p-6">
|
||||
{step === 'config' && (
|
||||
<div className="space-y-6">
|
||||
|
||||
{/* Tabs */}
|
||||
<div className="flex p-1 bg-white/5 rounded-xl border border-white/10">
|
||||
<button
|
||||
onClick={() => setActiveTab('url')}
|
||||
className={`flex-1 py-2 rounded-lg text-sm font-medium transition-all ${activeTab === 'url'
|
||||
? 'bg-purple-600 text-white shadow-lg'
|
||||
: 'text-gray-400 hover:text-white hover:bg-white/5'
|
||||
}`}
|
||||
>
|
||||
🔗 粘贴链接
|
||||
</button>
|
||||
<button
|
||||
onClick={() => setActiveTab('file')}
|
||||
className={`flex-1 py-2 rounded-lg text-sm font-medium transition-all ${activeTab === 'file'
|
||||
? 'bg-purple-600 text-white shadow-lg'
|
||||
: 'text-gray-400 hover:text-white hover:bg-white/5'
|
||||
}`}
|
||||
>
|
||||
📂 上传文件
|
||||
</button>
|
||||
</div>
|
||||
|
||||
{/* URL Input Area */}
|
||||
{activeTab === 'url' && (
|
||||
<div className="space-y-2 py-4">
|
||||
<div className="relative">
|
||||
<input
|
||||
type="text"
|
||||
value={inputUrl}
|
||||
onChange={(e) => setInputUrl(e.target.value)}
|
||||
placeholder="请粘贴抖音、B站等主流平台视频链接..."
|
||||
className="w-full bg-black/20 border border-white/10 rounded-xl px-4 py-4 text-white placeholder-gray-500 focus:outline-none focus:border-purple-500 transition-colors"
|
||||
/>
|
||||
{inputUrl && (
|
||||
<button
|
||||
onClick={() => setInputUrl("")}
|
||||
className="absolute right-3 top-1/2 -translate-y-1/2 text-gray-500 hover:text-white p-1"
|
||||
>
|
||||
✕
|
||||
</button>
|
||||
)}
|
||||
</div>
|
||||
<p className="text-xs text-gray-400 px-1">
|
||||
支持抖音、B站等主流平台分享链接,自动解析下载并提取文案。
|
||||
</p>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* File Upload Area */}
|
||||
{activeTab === 'file' && (
|
||||
<div
|
||||
className={`
|
||||
relative border-2 border-dashed rounded-xl p-8 text-center transition-all cursor-pointer
|
||||
${dragActive ? 'border-purple-500 bg-purple-500/10' : 'border-white/20 hover:border-white/40 hover:bg-white/5'}
|
||||
${selectedFile ? 'bg-purple-900/10 border-purple-500/50' : ''}
|
||||
`}
|
||||
onDragEnter={handleDrag}
|
||||
onDragLeave={handleDrag}
|
||||
onDragOver={handleDrag}
|
||||
onDrop={handleDrop}
|
||||
>
|
||||
<input
|
||||
type="file"
|
||||
className="absolute inset-0 w-full h-full opacity-0 cursor-pointer"
|
||||
onChange={handleFileChange}
|
||||
accept=".mp4,.mov,.avi,.mp3,.wav,.m4a"
|
||||
/>
|
||||
|
||||
{selectedFile ? (
|
||||
<div className="flex flex-col items-center">
|
||||
<div className="text-4xl mb-2">📄</div>
|
||||
<div className="font-medium text-white break-all max-w-xs">{selectedFile.name}</div>
|
||||
<div className="text-sm text-gray-400 mt-1">{(selectedFile.size / (1024 * 1024)).toFixed(1)} MB</div>
|
||||
<div className="mt-4 text-xs text-purple-400">点击更换文件</div>
|
||||
</div>
|
||||
) : (
|
||||
<div className="flex flex-col items-center">
|
||||
<div className="text-4xl mb-2">📤</div>
|
||||
<div className="font-medium text-white">点击上传或拖拽文件到此处</div>
|
||||
<div className="text-sm text-gray-400 mt-2">支持 MP4, MOV, MP3, WAV 等音视频格式</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* Options */}
|
||||
<div className="bg-white/5 rounded-xl p-4 border border-white/10">
|
||||
<label className="flex items-center gap-3 cursor-pointer">
|
||||
<input
|
||||
type="checkbox"
|
||||
checked={doRewrite}
|
||||
onChange={e => setDoRewrite(e.target.checked)}
|
||||
className="w-5 h-5 accent-purple-600 rounded"
|
||||
/>
|
||||
<div>
|
||||
<div className="text-white font-medium">启用 AI 洗稿</div>
|
||||
<div className="text-xs text-gray-400">自动将提取的文案重写为更自然流畅的口播稿</div>
|
||||
</div>
|
||||
</label>
|
||||
</div>
|
||||
|
||||
{error && (
|
||||
<div className="p-3 bg-red-500/20 text-red-200 rounded-lg text-sm text-center">
|
||||
❌ {error}
|
||||
</div>
|
||||
)}
|
||||
|
||||
<div className="flex justify-center pt-2">
|
||||
<button
|
||||
onClick={handleExtract}
|
||||
className="w-full sm:w-auto px-10 py-3 bg-gradient-to-r from-purple-600 to-pink-600 text-white rounded-xl font-bold hover:shadow-lg hover:from-purple-500 hover:to-pink-500 transition-all transform hover:-translate-y-0.5 disabled:opacity-50 disabled:cursor-not-allowed"
|
||||
disabled={activeTab === 'file' ? !selectedFile : !inputUrl.trim()}
|
||||
>
|
||||
{activeTab === 'url' ? '🔗 解析并提取' : '🚀 开始提取'}
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{step === 'processing' && (
|
||||
<div className="flex flex-col items-center justify-center py-20">
|
||||
<div className="relative w-20 h-20 mb-6">
|
||||
<div className="absolute inset-0 border-4 border-purple-500/30 rounded-full"></div>
|
||||
<div className="absolute inset-0 border-4 border-t-purple-500 rounded-full animate-spin"></div>
|
||||
</div>
|
||||
<h4 className="text-xl font-medium text-white mb-2">正在处理中...</h4>
|
||||
<p className="text-sm text-gray-400 text-center max-w-sm px-4">
|
||||
{activeTab === 'url' && "正在下载视频..."}<br />
|
||||
{doRewrite ? "正在进行语音识别和 AI 智能改写..." : "正在进行语音识别..."}<br />
|
||||
<span className="opacity-75">大文件可能需要几分钟,请不要关闭窗口</span>
|
||||
</p>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{step === 'result' && (
|
||||
<div className="space-y-6">
|
||||
{rewrittenScript && (
|
||||
<div className="space-y-2">
|
||||
<div className="flex justify-between items-center">
|
||||
<h4 className="font-semibold text-purple-300 flex items-center gap-2">
|
||||
✨ AI 洗稿结果 <span className="text-xs font-normal text-purple-400/70">(推荐)</span>
|
||||
</h4>
|
||||
{onApply && (
|
||||
<button
|
||||
onClick={() => {
|
||||
onApply(rewrittenScript);
|
||||
onClose();
|
||||
}}
|
||||
className="text-xs bg-gradient-to-r from-purple-600 to-pink-600 hover:from-purple-500 hover:to-pink-500 text-white px-3 py-1.5 rounded-lg transition-colors flex items-center gap-1 shadow-sm"
|
||||
>
|
||||
📥 填入
|
||||
</button>
|
||||
)}
|
||||
<button
|
||||
onClick={() => copyToClipboard(rewrittenScript)}
|
||||
className="text-xs bg-purple-600 hover:bg-purple-500 text-white px-3 py-1.5 rounded-lg transition-colors flex items-center gap-1"
|
||||
>
|
||||
📋 复制内容
|
||||
</button>
|
||||
</div>
|
||||
<div className="bg-purple-900/10 border border-purple-500/20 rounded-xl p-4 max-h-60 overflow-y-auto custom-scrollbar">
|
||||
<p className="text-gray-200 text-sm leading-relaxed whitespace-pre-wrap">
|
||||
{rewrittenScript}
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
|
||||
<div className="space-y-2">
|
||||
<div className="flex justify-between items-center">
|
||||
<h4 className="font-semibold text-gray-400 flex items-center gap-2">
|
||||
🎙️ 原始识别结果
|
||||
</h4>
|
||||
{onApply && (
|
||||
<button
|
||||
onClick={() => {
|
||||
onApply(script);
|
||||
onClose();
|
||||
}}
|
||||
className="text-xs bg-white/10 hover:bg-white/20 text-white px-3 py-1.5 rounded-lg transition-colors flex items-center gap-1"
|
||||
>
|
||||
📥 填入
|
||||
</button>
|
||||
)}
|
||||
<button
|
||||
onClick={() => copyToClipboard(script)}
|
||||
className="text-xs bg-white/10 hover:bg-white/20 text-white px-3 py-1.5 rounded-lg transition-colors"
|
||||
>
|
||||
复制
|
||||
</button>
|
||||
</div>
|
||||
<div className="bg-white/5 border border-white/10 rounded-xl p-4 max-h-40 overflow-y-auto custom-scrollbar">
|
||||
<p className="text-gray-400 text-sm leading-relaxed whitespace-pre-wrap">
|
||||
{script}
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="flex justify-center pt-4">
|
||||
<button
|
||||
onClick={() => {
|
||||
setStep('config');
|
||||
setScript("");
|
||||
setRewrittenScript("");
|
||||
setSelectedFile(null);
|
||||
setInputUrl("");
|
||||
// Keep current tab active
|
||||
}}
|
||||
className="px-6 py-2 bg-white/10 hover:bg-white/20 text-white rounded-lg transition-colors"
|
||||
>
|
||||
提取下一个
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -9,13 +9,15 @@ export interface BgmItem {
|
||||
}
|
||||
|
||||
interface UseBgmOptions {
|
||||
storageKey: string;
|
||||
|
||||
selectedBgmId: string;
|
||||
setSelectedBgmId: React.Dispatch<React.SetStateAction<string>>;
|
||||
}
|
||||
|
||||
export const useBgm = ({
|
||||
storageKey,
|
||||
|
||||
// selectedBgmId 用于参数类型推断,不在此 hook 内部直接使用
|
||||
// eslint-disable-next-line @typescript-eslint/no-unused-vars
|
||||
selectedBgmId,
|
||||
setSelectedBgmId,
|
||||
}: UseBgmOptions) => {
|
||||
@@ -32,21 +34,20 @@ export const useBgm = ({
|
||||
const items: BgmItem[] = Array.isArray(payload.bgm) ? payload.bgm : [];
|
||||
setBgmList(items);
|
||||
|
||||
const savedBgmId = localStorage.getItem(`vigent_${storageKey}_bgmId`);
|
||||
setSelectedBgmId((prev) => {
|
||||
if (prev && items.some((item) => item.id === prev)) return prev;
|
||||
if (savedBgmId && items.some((item) => item.id === savedBgmId)) return savedBgmId;
|
||||
return items[0]?.id || "";
|
||||
});
|
||||
} catch (error: any) {
|
||||
const message = error?.response?.data?.message || error?.message || '加载失败';
|
||||
} catch (error: unknown) {
|
||||
const axiosErr = error as { response?: { data?: { message?: string } }; message?: string };
|
||||
const message = axiosErr?.response?.data?.message || axiosErr?.message || '加载失败';
|
||||
setBgmError(message);
|
||||
setBgmList([]);
|
||||
console.error("获取背景音乐失败:", error);
|
||||
} finally {
|
||||
setBgmLoading(false);
|
||||
}
|
||||
}, [setSelectedBgmId, storageKey]);
|
||||
}, [setSelectedBgmId]);
|
||||
|
||||
return {
|
||||
bgmList,
|
||||
|
||||
193
frontend/src/features/home/model/useGeneratedAudios.ts
Normal file
193
frontend/src/features/home/model/useGeneratedAudios.ts
Normal file
@@ -0,0 +1,193 @@
|
||||
import { useCallback, useEffect, useRef, useState } from "react";
|
||||
import api from "@/shared/api/axios";
|
||||
import { ApiResponse, unwrap } from "@/shared/api/types";
|
||||
import { toast } from "sonner";
|
||||
|
||||
export interface GeneratedAudio {
|
||||
id: string;
|
||||
name: string;
|
||||
path: string;
|
||||
duration_sec: number;
|
||||
text: string;
|
||||
tts_mode: string;
|
||||
language: string;
|
||||
created_at: number;
|
||||
}
|
||||
|
||||
interface AudioTask {
|
||||
status: string;
|
||||
progress?: number;
|
||||
message?: string;
|
||||
output?: GeneratedAudio & { audio_id: string };
|
||||
}
|
||||
|
||||
interface UseGeneratedAudiosOptions {
|
||||
selectedAudioId: string | null;
|
||||
setSelectedAudioId: React.Dispatch<React.SetStateAction<string | null>>;
|
||||
}
|
||||
|
||||
export const useGeneratedAudios = ({
|
||||
selectedAudioId,
|
||||
setSelectedAudioId,
|
||||
}: UseGeneratedAudiosOptions) => {
|
||||
const [generatedAudios, setGeneratedAudios] = useState<GeneratedAudio[]>([]);
|
||||
const [selectedAudio, setSelectedAudio] = useState<GeneratedAudio | null>(null);
|
||||
const [isGeneratingAudio, setIsGeneratingAudio] = useState(false);
|
||||
const [audioTaskId, setAudioTaskId] = useState<string | null>(null);
|
||||
const [audioTask, setAudioTask] = useState<AudioTask | null>(null);
|
||||
const pollRef = useRef<NodeJS.Timeout | null>(null);
|
||||
|
||||
const fetchGeneratedAudios = useCallback(async (selectId?: string) => {
|
||||
try {
|
||||
const { data: res } = await api.get<ApiResponse<{ items: GeneratedAudio[] }>>(
|
||||
"/api/generated-audios"
|
||||
);
|
||||
const payload = unwrap(res);
|
||||
const items: GeneratedAudio[] = payload.items || [];
|
||||
setGeneratedAudios(items);
|
||||
|
||||
if (selectId && items.length > 0) {
|
||||
if (selectId === "__latest__") {
|
||||
setSelectedAudioId(items[0].id);
|
||||
setSelectedAudio(items[0]);
|
||||
} else {
|
||||
const found = items.find((a) => a.id === selectId);
|
||||
if (found) {
|
||||
setSelectedAudioId(found.id);
|
||||
setSelectedAudio(found);
|
||||
}
|
||||
}
|
||||
}
|
||||
} catch (error) {
|
||||
console.error("获取配音列表失败:", error);
|
||||
}
|
||||
}, [setSelectedAudioId]);
|
||||
|
||||
// Sync selectedAudio when selectedAudioId changes externally (e.g. from persistence)
|
||||
useEffect(() => {
|
||||
if (!selectedAudioId || generatedAudios.length === 0) return;
|
||||
const found = generatedAudios.find((a) => a.id === selectedAudioId);
|
||||
if (found) {
|
||||
setSelectedAudio(found);
|
||||
}
|
||||
}, [selectedAudioId, generatedAudios]);
|
||||
|
||||
const stopPolling = useCallback(() => {
|
||||
if (pollRef.current) {
|
||||
clearInterval(pollRef.current);
|
||||
pollRef.current = null;
|
||||
}
|
||||
}, []);
|
||||
|
||||
const startPolling = useCallback((taskId: string) => {
|
||||
stopPolling();
|
||||
pollRef.current = setInterval(async () => {
|
||||
try {
|
||||
const { data: res } = await api.get<ApiResponse<AudioTask>>(
|
||||
`/api/generated-audios/tasks/${taskId}`
|
||||
);
|
||||
const task = unwrap(res);
|
||||
setAudioTask(task);
|
||||
|
||||
if (task.status === "completed") {
|
||||
stopPolling();
|
||||
setIsGeneratingAudio(false);
|
||||
setAudioTaskId(null);
|
||||
// Refresh list and select the new audio
|
||||
await fetchGeneratedAudios("__latest__");
|
||||
toast.success(task.message || "配音生成完成");
|
||||
} else if (task.status === "failed") {
|
||||
stopPolling();
|
||||
setIsGeneratingAudio(false);
|
||||
setAudioTaskId(null);
|
||||
toast.error(task.message || "配音生成失败");
|
||||
} else if (task.status === "not_found") {
|
||||
stopPolling();
|
||||
setIsGeneratingAudio(false);
|
||||
setAudioTaskId(null);
|
||||
setAudioTask(null);
|
||||
toast.error("任务已丢失(服务可能已重启),请重新生成");
|
||||
}
|
||||
} catch {
|
||||
// Network error, keep polling
|
||||
}
|
||||
}, 1000);
|
||||
}, [stopPolling, fetchGeneratedAudios]);
|
||||
|
||||
// Cleanup on unmount
|
||||
useEffect(() => {
|
||||
return () => stopPolling();
|
||||
}, [stopPolling]);
|
||||
|
||||
const generateAudio = useCallback(async (params: {
|
||||
text: string;
|
||||
tts_mode: string;
|
||||
voice?: string;
|
||||
ref_audio_id?: string;
|
||||
ref_text?: string;
|
||||
language: string;
|
||||
speed?: number;
|
||||
}) => {
|
||||
setIsGeneratingAudio(true);
|
||||
setAudioTask({ status: "pending", progress: 0, message: "正在提交..." });
|
||||
|
||||
try {
|
||||
const { data: res } = await api.post<ApiResponse<{ task_id: string }>>(
|
||||
"/api/generated-audios/generate",
|
||||
params
|
||||
);
|
||||
const { task_id } = unwrap(res);
|
||||
setAudioTaskId(task_id);
|
||||
startPolling(task_id);
|
||||
} catch (err: unknown) {
|
||||
setIsGeneratingAudio(false);
|
||||
setAudioTask(null);
|
||||
const axiosErr = err as { response?: { data?: { message?: string } }; message?: string };
|
||||
const errorMsg = axiosErr.response?.data?.message || axiosErr.message || String(err);
|
||||
toast.error(`配音生成失败: ${errorMsg}`);
|
||||
}
|
||||
}, [startPolling]);
|
||||
|
||||
const deleteAudio = useCallback(async (audioId: string) => {
|
||||
if (!confirm("确定要删除这个配音吗?")) return;
|
||||
try {
|
||||
await api.delete(`/api/generated-audios/${encodeURIComponent(audioId)}`);
|
||||
if (selectedAudioId === audioId) {
|
||||
setSelectedAudioId(null);
|
||||
setSelectedAudio(null);
|
||||
}
|
||||
fetchGeneratedAudios();
|
||||
} catch (error) {
|
||||
toast.error("删除失败: " + error);
|
||||
}
|
||||
}, [fetchGeneratedAudios, selectedAudioId, setSelectedAudioId]);
|
||||
|
||||
const renameAudio = useCallback(async (audioId: string, newName: string) => {
|
||||
try {
|
||||
await api.put(`/api/generated-audios/${encodeURIComponent(audioId)}`, {
|
||||
new_name: newName,
|
||||
});
|
||||
fetchGeneratedAudios();
|
||||
} catch (err: unknown) {
|
||||
toast.error("重命名失败: " + String(err));
|
||||
}
|
||||
}, [fetchGeneratedAudios]);
|
||||
|
||||
const selectAudio = useCallback((audio: GeneratedAudio) => {
|
||||
setSelectedAudioId(audio.id);
|
||||
setSelectedAudio(audio);
|
||||
}, [setSelectedAudioId]);
|
||||
|
||||
return {
|
||||
generatedAudios,
|
||||
selectedAudio,
|
||||
selectedAudioId,
|
||||
isGeneratingAudio,
|
||||
audioTask,
|
||||
fetchGeneratedAudios,
|
||||
generateAudio,
|
||||
deleteAudio,
|
||||
renameAudio,
|
||||
selectAudio,
|
||||
};
|
||||
};
|
||||
@@ -1,6 +1,7 @@
|
||||
import { useCallback, useState } from "react";
|
||||
import { useCallback, useEffect, useState } from "react";
|
||||
import api from "@/shared/api/axios";
|
||||
import { ApiResponse, unwrap } from "@/shared/api/types";
|
||||
import { toast } from "sonner";
|
||||
|
||||
interface GeneratedVideo {
|
||||
id: string;
|
||||
@@ -11,7 +12,7 @@ interface GeneratedVideo {
|
||||
}
|
||||
|
||||
interface UseGeneratedVideosOptions {
|
||||
storageKey: string;
|
||||
|
||||
selectedVideoId: string | null;
|
||||
setSelectedVideoId: React.Dispatch<React.SetStateAction<string | null>>;
|
||||
setGeneratedVideo: React.Dispatch<React.SetStateAction<string | null>>;
|
||||
@@ -19,7 +20,7 @@ interface UseGeneratedVideosOptions {
|
||||
}
|
||||
|
||||
export const useGeneratedVideos = ({
|
||||
storageKey,
|
||||
|
||||
selectedVideoId,
|
||||
setSelectedVideoId,
|
||||
setGeneratedVideo,
|
||||
@@ -36,32 +37,42 @@ export const useGeneratedVideos = ({
|
||||
const videos: GeneratedVideo[] = payload.videos || [];
|
||||
setGeneratedVideos(videos);
|
||||
|
||||
const savedSelectedVideoId = localStorage.getItem(`vigent_${storageKey}_selectedVideoId`);
|
||||
const currentId = preferVideoId || selectedVideoId || savedSelectedVideoId || null;
|
||||
let nextId: string | null = null;
|
||||
let nextUrl: string | null = null;
|
||||
|
||||
if (currentId) {
|
||||
const found = videos.find(v => v.id === currentId);
|
||||
if (found) {
|
||||
nextId = found.id;
|
||||
nextUrl = resolveMediaUrl(found.path);
|
||||
// 只在明确指定 preferVideoId 时才自动选中
|
||||
// "__latest__" 表示选中最新的(第一个),用于新视频生成完成后
|
||||
// 其他值表示选中指定 ID 的视频
|
||||
// 不传则不设置选中项,由 useHomePersistence 恢复
|
||||
if (preferVideoId && videos.length > 0) {
|
||||
if (preferVideoId === "__latest__") {
|
||||
setSelectedVideoId(videos[0].id);
|
||||
setGeneratedVideo(resolveMediaUrl(videos[0].path));
|
||||
} else {
|
||||
const found = videos.find(v => v.id === preferVideoId);
|
||||
if (found) {
|
||||
setSelectedVideoId(found.id);
|
||||
setGeneratedVideo(resolveMediaUrl(found.path));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (!nextId && videos.length > 0) {
|
||||
nextId = videos[0].id;
|
||||
nextUrl = resolveMediaUrl(videos[0].path);
|
||||
}
|
||||
|
||||
if (nextId) {
|
||||
setSelectedVideoId(nextId);
|
||||
setGeneratedVideo(nextUrl);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error("获取历史视频失败:", error);
|
||||
}
|
||||
}, [resolveMediaUrl, selectedVideoId, setGeneratedVideo, setSelectedVideoId, storageKey]);
|
||||
}, [resolveMediaUrl, setGeneratedVideo, setSelectedVideoId]);
|
||||
|
||||
// 【核心修复】当 selectedVideoId 变化时(例如从持久化恢复),自动同步 generatedVideo (URL)
|
||||
// 之前的逻辑只在 fetch 时设置,导致外部恢复 ID 后 URL 不同步
|
||||
useEffect(() => {
|
||||
if (!selectedVideoId || generatedVideos.length === 0) {
|
||||
// 如果没有选中 ID,或者列表为空,不要轻易置空 URL,除非明确需要
|
||||
// 这里保持现状,由 fetchGeneratedVideos 或 deleteVideo 处理置空
|
||||
return;
|
||||
}
|
||||
|
||||
const video = generatedVideos.find(v => v.id === selectedVideoId);
|
||||
if (video) {
|
||||
const url = resolveMediaUrl(video.path);
|
||||
setGeneratedVideo(url);
|
||||
}
|
||||
}, [selectedVideoId, generatedVideos, resolveMediaUrl, setGeneratedVideo]);
|
||||
|
||||
const deleteVideo = useCallback(async (videoId: string) => {
|
||||
if (!confirm("确定要删除这个视频吗?")) return;
|
||||
@@ -73,7 +84,7 @@ export const useGeneratedVideos = ({
|
||||
}
|
||||
fetchGeneratedVideos();
|
||||
} catch (error) {
|
||||
alert("删除失败: " + error);
|
||||
toast.error("删除失败: " + error);
|
||||
}
|
||||
}, [fetchGeneratedVideos, selectedVideoId, setGeneratedVideo, setSelectedVideoId]);
|
||||
|
||||
|
||||
@@ -9,50 +9,87 @@ import {
|
||||
resolveBgmUrl,
|
||||
resolveMediaUrl,
|
||||
} from "@/shared/lib/media";
|
||||
import { clampTitle } from "@/shared/lib/title";
|
||||
import { clampTitle, clampSecondaryTitle, SECONDARY_TITLE_MAX_LENGTH } from "@/shared/lib/title";
|
||||
import { useTitleInput } from "@/shared/hooks/useTitleInput";
|
||||
import { useAuth } from "@/contexts/AuthContext";
|
||||
import { useTask } from "@/contexts/TaskContext";
|
||||
import { useAuth } from "@/shared/contexts/AuthContext";
|
||||
import { useTask } from "@/shared/contexts/TaskContext";
|
||||
import { toast } from "sonner";
|
||||
import { usePublishPrefetch } from "@/shared/hooks/usePublishPrefetch";
|
||||
import { PublishAccount } from "@/shared/types/publish";
|
||||
import { useBgm } from "@/features/home/model/useBgm";
|
||||
import { useGeneratedVideos } from "@/features/home/model/useGeneratedVideos";
|
||||
import { useGeneratedAudios } from "@/features/home/model/useGeneratedAudios";
|
||||
import { useHomePersistence } from "@/features/home/model/useHomePersistence";
|
||||
import { useMaterials } from "@/features/home/model/useMaterials";
|
||||
import { useMediaPlayers } from "@/features/home/model/useMediaPlayers";
|
||||
import { useRefAudios } from "@/features/home/model/useRefAudios";
|
||||
import { useTitleSubtitleStyles } from "@/features/home/model/useTitleSubtitleStyles";
|
||||
import { useTimelineEditor } from "@/features/home/model/useTimelineEditor";
|
||||
import { useSavedScripts } from "@/features/home/model/useSavedScripts";
|
||||
import { ApiResponse, unwrap } from "@/shared/api/types";
|
||||
|
||||
const VOICES = [
|
||||
{ id: "zh-CN-YunxiNeural", name: "云溪 (男声-年轻)" },
|
||||
{ id: "zh-CN-YunjianNeural", name: "云健 (男声-新闻)" },
|
||||
{ id: "zh-CN-YunyangNeural", name: "云扬 (男声-专业)" },
|
||||
{ id: "zh-CN-XiaoxiaoNeural", name: "晓晓 (女声-活泼)" },
|
||||
{ id: "zh-CN-XiaoyiNeural", name: "晓伊 (女声-温柔)" },
|
||||
];
|
||||
const VOICES: Record<string, { id: string; name: string }[]> = {
|
||||
"zh-CN": [
|
||||
{ id: "zh-CN-YunxiNeural", name: "云溪 (男声-年轻)" },
|
||||
{ id: "zh-CN-YunjianNeural", name: "云健 (男声-新闻)" },
|
||||
{ id: "zh-CN-YunyangNeural", name: "云扬 (男声-专业)" },
|
||||
{ id: "zh-CN-XiaoxiaoNeural", name: "晓晓 (女声-活泼)" },
|
||||
{ id: "zh-CN-XiaoyiNeural", name: "晓伊 (女声-温柔)" },
|
||||
],
|
||||
"en-US": [
|
||||
{ id: "en-US-GuyNeural", name: "Guy (Male)" },
|
||||
{ id: "en-US-JennyNeural", name: "Jenny (Female)" },
|
||||
],
|
||||
"ja-JP": [
|
||||
{ id: "ja-JP-KeitaNeural", name: "圭太 (男声)" },
|
||||
{ id: "ja-JP-NanamiNeural", name: "七海 (女声)" },
|
||||
],
|
||||
"ko-KR": [
|
||||
{ id: "ko-KR-InJoonNeural", name: "인준 (男声)" },
|
||||
{ id: "ko-KR-SunHiNeural", name: "선히 (女声)" },
|
||||
],
|
||||
"fr-FR": [
|
||||
{ id: "fr-FR-HenriNeural", name: "Henri (Male)" },
|
||||
{ id: "fr-FR-DeniseNeural", name: "Denise (Female)" },
|
||||
],
|
||||
"de-DE": [
|
||||
{ id: "de-DE-ConradNeural", name: "Conrad (Male)" },
|
||||
{ id: "de-DE-KatjaNeural", name: "Katja (Female)" },
|
||||
],
|
||||
"es-ES": [
|
||||
{ id: "es-ES-AlvaroNeural", name: "Álvaro (Male)" },
|
||||
{ id: "es-ES-ElviraNeural", name: "Elvira (Female)" },
|
||||
],
|
||||
"ru-RU": [
|
||||
{ id: "ru-RU-DmitryNeural", name: "Дмитрий (Male)" },
|
||||
{ id: "ru-RU-SvetlanaNeural", name: "Светлана (Female)" },
|
||||
],
|
||||
"it-IT": [
|
||||
{ id: "it-IT-DiegoNeural", name: "Diego (Male)" },
|
||||
{ id: "it-IT-ElsaNeural", name: "Elsa (Female)" },
|
||||
],
|
||||
"pt-BR": [
|
||||
{ id: "pt-BR-AntonioNeural", name: "Antonio (Male)" },
|
||||
{ id: "pt-BR-FranciscaNeural", name: "Francisca (Female)" },
|
||||
],
|
||||
};
|
||||
|
||||
const PUBLISH_PREFETCH_KEY = "vigent_publish_prefetch_v1";
|
||||
const PUBLISH_PREFETCH_TTL = 2 * 60 * 1000;
|
||||
const LANG_TO_LOCALE: Record<string, string> = {
|
||||
"中文": "zh-CN",
|
||||
"English": "en-US",
|
||||
"日本語": "ja-JP",
|
||||
"한국어": "ko-KR",
|
||||
"Français": "fr-FR",
|
||||
"Deutsch": "de-DE",
|
||||
"Español": "es-ES",
|
||||
"Русский": "ru-RU",
|
||||
"Italiano": "it-IT",
|
||||
"Português": "pt-BR",
|
||||
};
|
||||
|
||||
interface PublishAccount {
|
||||
platform: string;
|
||||
name: string;
|
||||
logged_in: boolean;
|
||||
enabled: boolean;
|
||||
}
|
||||
const DEFAULT_SHORT_TITLE_DURATION = 4;
|
||||
|
||||
interface PublishVideo {
|
||||
name: string;
|
||||
path: string;
|
||||
}
|
||||
|
||||
interface PublishPrefetchCache {
|
||||
ts: number;
|
||||
accounts?: PublishAccount[];
|
||||
videos?: PublishVideo[];
|
||||
}
|
||||
|
||||
const FIXED_REF_TEXT =
|
||||
"其实生活中有许多美好的瞬间,比如清晨的阳光,或者一杯温热的清茶。希望这次生成的音色能够自然、流畅,完美还原出我最真实的声音状态。";
|
||||
|
||||
const scrollContainerToItem = (container: HTMLDivElement, item: HTMLDivElement) => {
|
||||
const containerRect = container.getBoundingClientRect();
|
||||
@@ -86,41 +123,47 @@ interface RefAudio {
|
||||
created_at: number;
|
||||
}
|
||||
|
||||
interface Material {
|
||||
id: string;
|
||||
name: string;
|
||||
path: string;
|
||||
size_mb: number;
|
||||
scene?: string;
|
||||
}
|
||||
import type { Material } from "@/shared/types/material";
|
||||
|
||||
export const useHomeController = () => {
|
||||
const apiBase = getApiBaseUrl();
|
||||
|
||||
const [selectedMaterial, setSelectedMaterial] = useState<string>("");
|
||||
const [selectedMaterials, setSelectedMaterials] = useState<string[]>([]);
|
||||
const [previewMaterial, setPreviewMaterial] = useState<string | null>(null);
|
||||
|
||||
const [text, setText] = useState<string>("");
|
||||
const [voice, setVoice] = useState<string>("zh-CN-YunxiNeural");
|
||||
const [textLang, setTextLang] = useState<string>("zh-CN");
|
||||
|
||||
// 使用全局任务状态
|
||||
const { currentTask, isGenerating, startTask } = useTask();
|
||||
const prevIsGenerating = useRef(isGenerating);
|
||||
|
||||
const [generatedVideo, setGeneratedVideo] = useState<string | null>(null);
|
||||
const [selectedVideoId, setSelectedVideoId] = useState<string | null>(null);
|
||||
|
||||
// 字幕和标题相关状态
|
||||
const [videoTitle, setVideoTitle] = useState<string>("");
|
||||
const [enableSubtitles, setEnableSubtitles] = useState<boolean>(true);
|
||||
const [selectedSubtitleStyleId, setSelectedSubtitleStyleId] = useState<string>("");
|
||||
const [selectedTitleStyleId, setSelectedTitleStyleId] = useState<string>("");
|
||||
const [subtitleFontSize, setSubtitleFontSize] = useState<number>(60);
|
||||
const [titleFontSize, setTitleFontSize] = useState<number>(90);
|
||||
const [subtitleFontSize, setSubtitleFontSize] = useState<number>(80);
|
||||
const [titleFontSize, setTitleFontSize] = useState<number>(120);
|
||||
const [subtitleSizeLocked, setSubtitleSizeLocked] = useState<boolean>(false);
|
||||
const [titleSizeLocked, setTitleSizeLocked] = useState<boolean>(false);
|
||||
const [titleTopMargin, setTitleTopMargin] = useState<number>(62);
|
||||
const [titleDisplayMode, setTitleDisplayMode] = useState<"short" | "persistent">("short");
|
||||
const [subtitleBottomMargin, setSubtitleBottomMargin] = useState<number>(80);
|
||||
const [outputAspectRatio, setOutputAspectRatio] = useState<"9:16" | "16:9">("9:16");
|
||||
const [showStylePreview, setShowStylePreview] = useState<boolean>(false);
|
||||
const [materialDimensions, setMaterialDimensions] = useState<{ width: number; height: number } | null>(null);
|
||||
const [previewContainerWidth, setPreviewContainerWidth] = useState<number>(0);
|
||||
|
||||
// 副标题相关状态
|
||||
const [videoSecondaryTitle, setVideoSecondaryTitle] = useState<string>("");
|
||||
const [selectedSecondaryTitleStyleId, setSelectedSecondaryTitleStyleId] = useState<string>("");
|
||||
const [secondaryTitleFontSize, setSecondaryTitleFontSize] = useState<number>(48);
|
||||
const [secondaryTitleTopMargin, setSecondaryTitleTopMargin] = useState<number>(12);
|
||||
const [secondaryTitleSizeLocked, setSecondaryTitleSizeLocked] = useState<boolean>(false);
|
||||
|
||||
|
||||
// 背景音乐相关状态
|
||||
const [selectedBgmId, setSelectedBgmId] = useState<string>("");
|
||||
@@ -130,7 +173,17 @@ export const useHomeController = () => {
|
||||
// 声音克隆相关状态
|
||||
const [ttsMode, setTtsMode] = useState<"edgetts" | "voiceclone">("edgetts");
|
||||
const [selectedRefAudio, setSelectedRefAudio] = useState<RefAudio | null>(null);
|
||||
const [refText, setRefText] = useState(FIXED_REF_TEXT);
|
||||
const [refText, setRefText] = useState("");
|
||||
|
||||
// 预生成配音选中 ID
|
||||
const [selectedAudioId, setSelectedAudioId] = useState<string | null>(null);
|
||||
|
||||
// 语速控制
|
||||
const [speed, setSpeed] = useState<number>(1.0);
|
||||
|
||||
// ClipTrimmer 模态框状态
|
||||
const [clipTrimmerOpen, setClipTrimmerOpen] = useState(false);
|
||||
const [clipTrimmerSegmentId, setClipTrimmerSegmentId] = useState<string | null>(null);
|
||||
|
||||
// 音频预览与重命名状态
|
||||
const [editingAudioId, setEditingAudioId] = useState<string | null>(null);
|
||||
@@ -139,7 +192,7 @@ export const useHomeController = () => {
|
||||
const [editMaterialName, setEditMaterialName] = useState("");
|
||||
const bgmItemRefs = useRef<Record<string, HTMLDivElement | null>>({});
|
||||
const bgmListContainerRef = useRef<HTMLDivElement | null>(null);
|
||||
const titlePreviewContainerRef = useRef<HTMLDivElement | null>(null);
|
||||
|
||||
const materialItemRefs = useRef<Record<string, HTMLDivElement | null>>({});
|
||||
const videoItemRefs = useRef<Record<string, HTMLDivElement | null>>({});
|
||||
|
||||
@@ -166,8 +219,8 @@ export const useHomeController = () => {
|
||||
await api.put(`/api/ref-audios/${encodeURIComponent(audioId)}`, { new_name: editName });
|
||||
setEditingAudioId(null);
|
||||
fetchRefAudios(); // 刷新列表
|
||||
} catch (err: any) {
|
||||
alert("重命名失败: " + err);
|
||||
} catch (err: unknown) {
|
||||
toast.error("重命名失败: " + String(err));
|
||||
}
|
||||
};
|
||||
|
||||
@@ -194,21 +247,26 @@ export const useHomeController = () => {
|
||||
{ new_name: editMaterialName.trim() }
|
||||
);
|
||||
const payload = unwrap(res);
|
||||
if (selectedMaterial === materialId && payload?.id) {
|
||||
setSelectedMaterial(payload.id);
|
||||
if (selectedMaterials.includes(materialId) && payload?.id) {
|
||||
setSelectedMaterials((prev) => prev.map((x) => (x === materialId ? payload.id : x)));
|
||||
}
|
||||
setEditingMaterialId(null);
|
||||
setEditMaterialName("");
|
||||
fetchMaterials();
|
||||
} catch (err: any) {
|
||||
const errorMsg = err.response?.data?.message || err.message || String(err);
|
||||
alert(`重命名失败: ${errorMsg}`);
|
||||
} catch (err: unknown) {
|
||||
const axiosErr = err as { response?: { data?: { message?: string } }; message?: string };
|
||||
const errorMsg = axiosErr.response?.data?.message || axiosErr.message || String(err);
|
||||
toast.error(`重命名失败: ${errorMsg}`);
|
||||
}
|
||||
};
|
||||
|
||||
// AI 生成标题标签
|
||||
const [isGeneratingMeta, setIsGeneratingMeta] = useState(false);
|
||||
|
||||
// AI 多语言翻译
|
||||
const [isTranslating, setIsTranslating] = useState(false);
|
||||
const [originalText, setOriginalText] = useState<string | null>(null);
|
||||
|
||||
// 在线录音相关
|
||||
const [isRecording, setIsRecording] = useState(false);
|
||||
const [recordedBlob, setRecordedBlob] = useState<Blob | null>(null);
|
||||
@@ -225,26 +283,8 @@ export const useHomeController = () => {
|
||||
// 获取存储 key 的前缀(登录用户使用 userId,未登录使用 guest)
|
||||
const storageKey = userId || "guest";
|
||||
|
||||
const readPublishPrefetch = () => {
|
||||
if (typeof window === "undefined") return null;
|
||||
const raw = sessionStorage.getItem(PUBLISH_PREFETCH_KEY);
|
||||
if (!raw) return null;
|
||||
try {
|
||||
const cache = JSON.parse(raw) as PublishPrefetchCache;
|
||||
if (!cache?.ts) return null;
|
||||
if (Date.now() - cache.ts > PUBLISH_PREFETCH_TTL) return null;
|
||||
return cache;
|
||||
} catch {
|
||||
return null;
|
||||
}
|
||||
};
|
||||
|
||||
const updatePublishPrefetch = (patch: Partial<PublishPrefetchCache>) => {
|
||||
if (typeof window === "undefined") return;
|
||||
const existing = readPublishPrefetch() || { ts: Date.now() };
|
||||
const next = { ...existing, ...patch, ts: Date.now() };
|
||||
sessionStorage.setItem(PUBLISH_PREFETCH_KEY, JSON.stringify(next));
|
||||
};
|
||||
// 使用共用的发布预加载 hook
|
||||
const { updatePrefetch: updatePublishPrefetch } = usePublishPrefetch();
|
||||
|
||||
const {
|
||||
materials,
|
||||
@@ -256,11 +296,12 @@ export const useHomeController = () => {
|
||||
uploadError,
|
||||
setUploadError,
|
||||
fetchMaterials,
|
||||
toggleMaterial,
|
||||
deleteMaterial,
|
||||
handleUpload,
|
||||
} = useMaterials({
|
||||
selectedMaterial,
|
||||
setSelectedMaterial,
|
||||
selectedMaterials,
|
||||
setSelectedMaterials,
|
||||
});
|
||||
|
||||
const {
|
||||
@@ -270,7 +311,7 @@ export const useHomeController = () => {
|
||||
refreshTitleStyles,
|
||||
} = useTitleSubtitleStyles({
|
||||
isAuthLoading,
|
||||
storageKey,
|
||||
|
||||
setSelectedSubtitleStyleId,
|
||||
setSelectedTitleStyleId,
|
||||
});
|
||||
@@ -283,8 +324,9 @@ export const useHomeController = () => {
|
||||
fetchRefAudios,
|
||||
uploadRefAudio,
|
||||
deleteRefAudio,
|
||||
retranscribeRefAudio,
|
||||
retranscribingId,
|
||||
} = useRefAudios({
|
||||
fixedRefText: FIXED_REF_TEXT,
|
||||
selectedRefAudio,
|
||||
setSelectedRefAudio,
|
||||
setRefText,
|
||||
@@ -296,7 +338,7 @@ export const useHomeController = () => {
|
||||
bgmError,
|
||||
fetchBgmList,
|
||||
} = useBgm({
|
||||
storageKey,
|
||||
|
||||
selectedBgmId,
|
||||
setSelectedBgmId,
|
||||
});
|
||||
@@ -319,13 +361,40 @@ export const useHomeController = () => {
|
||||
fetchGeneratedVideos,
|
||||
deleteVideo,
|
||||
} = useGeneratedVideos({
|
||||
storageKey,
|
||||
|
||||
selectedVideoId,
|
||||
setSelectedVideoId,
|
||||
setGeneratedVideo,
|
||||
resolveMediaUrl,
|
||||
});
|
||||
|
||||
const {
|
||||
generatedAudios,
|
||||
selectedAudio,
|
||||
isGeneratingAudio,
|
||||
audioTask,
|
||||
fetchGeneratedAudios,
|
||||
generateAudio,
|
||||
deleteAudio,
|
||||
renameAudio,
|
||||
selectAudio,
|
||||
} = useGeneratedAudios({
|
||||
selectedAudioId,
|
||||
setSelectedAudioId,
|
||||
});
|
||||
|
||||
const {
|
||||
segments: timelineSegments,
|
||||
reorderSegments,
|
||||
setSourceRange,
|
||||
toCustomAssignments,
|
||||
} = useTimelineEditor({
|
||||
audioDuration: selectedAudio?.duration_sec ?? 0,
|
||||
materials,
|
||||
selectedMaterials,
|
||||
storageKey,
|
||||
});
|
||||
|
||||
useEffect(() => {
|
||||
if (isAuthLoading || !userId) return;
|
||||
let active = true;
|
||||
@@ -347,15 +416,18 @@ export const useHomeController = () => {
|
||||
return () => {
|
||||
active = false;
|
||||
};
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, [isAuthLoading, userId]);
|
||||
|
||||
useEffect(() => {
|
||||
if (generatedVideos.length === 0) return;
|
||||
const prefetched = generatedVideos.map((video) => ({
|
||||
id: video.id,
|
||||
name: formatDate(video.created_at) + ` (${video.size_mb.toFixed(1)}MB)`,
|
||||
path: video.path.startsWith("/") ? video.path.slice(1) : video.path,
|
||||
}));
|
||||
updatePublishPrefetch({ videos: prefetched });
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, [generatedVideos]);
|
||||
|
||||
const { isRestored } = useHomePersistence({
|
||||
@@ -365,24 +437,41 @@ export const useHomeController = () => {
|
||||
setText,
|
||||
videoTitle,
|
||||
setVideoTitle,
|
||||
enableSubtitles,
|
||||
setEnableSubtitles,
|
||||
videoSecondaryTitle,
|
||||
setVideoSecondaryTitle,
|
||||
ttsMode,
|
||||
setTtsMode,
|
||||
voice,
|
||||
setVoice,
|
||||
selectedMaterial,
|
||||
setSelectedMaterial,
|
||||
textLang,
|
||||
setTextLang,
|
||||
selectedMaterials,
|
||||
setSelectedMaterials,
|
||||
selectedSubtitleStyleId,
|
||||
setSelectedSubtitleStyleId,
|
||||
selectedTitleStyleId,
|
||||
setSelectedTitleStyleId,
|
||||
selectedSecondaryTitleStyleId,
|
||||
setSelectedSecondaryTitleStyleId,
|
||||
subtitleFontSize,
|
||||
setSubtitleFontSize,
|
||||
titleFontSize,
|
||||
setTitleFontSize,
|
||||
secondaryTitleFontSize,
|
||||
setSecondaryTitleFontSize,
|
||||
setSubtitleSizeLocked,
|
||||
setTitleSizeLocked,
|
||||
setSecondaryTitleSizeLocked,
|
||||
titleTopMargin,
|
||||
setTitleTopMargin,
|
||||
secondaryTitleTopMargin,
|
||||
setSecondaryTitleTopMargin,
|
||||
titleDisplayMode,
|
||||
setTitleDisplayMode,
|
||||
subtitleBottomMargin,
|
||||
setSubtitleBottomMargin,
|
||||
outputAspectRatio,
|
||||
setOutputAspectRatio,
|
||||
selectedBgmId,
|
||||
setSelectedBgmId,
|
||||
bgmVolume,
|
||||
@@ -392,8 +481,20 @@ export const useHomeController = () => {
|
||||
selectedVideoId,
|
||||
setSelectedVideoId,
|
||||
selectedRefAudio,
|
||||
selectedAudioId,
|
||||
setSelectedAudioId,
|
||||
speed,
|
||||
setSpeed,
|
||||
});
|
||||
|
||||
const { savedScripts, saveScript, deleteScript: deleteSavedScript } = useSavedScripts(storageKey);
|
||||
|
||||
const handleSaveScript = () => {
|
||||
if (!text.trim()) return;
|
||||
saveScript(text);
|
||||
toast.success("文案已保存");
|
||||
};
|
||||
|
||||
const syncTitleToPublish = (value: string) => {
|
||||
if (typeof window !== "undefined") {
|
||||
localStorage.setItem(`vigent_${storageKey}_publish_title`, value);
|
||||
@@ -406,6 +507,12 @@ export const useHomeController = () => {
|
||||
onCommit: syncTitleToPublish,
|
||||
});
|
||||
|
||||
const secondaryTitleInput = useTitleInput({
|
||||
value: videoSecondaryTitle,
|
||||
onChange: setVideoSecondaryTitle,
|
||||
maxLength: SECONDARY_TITLE_MAX_LENGTH,
|
||||
});
|
||||
|
||||
// 加载素材列表和历史视频
|
||||
useEffect(() => {
|
||||
if (isAuthLoading) return;
|
||||
@@ -413,14 +520,29 @@ export const useHomeController = () => {
|
||||
fetchMaterials(),
|
||||
fetchGeneratedVideos(),
|
||||
fetchRefAudios(),
|
||||
fetchGeneratedAudios(),
|
||||
refreshSubtitleStyles(),
|
||||
refreshTitleStyles(),
|
||||
fetchBgmList(),
|
||||
]);
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, [isAuthLoading]);
|
||||
|
||||
// 监听任务完成,自动刷新视频列表并选中最新
|
||||
useEffect(() => {
|
||||
const material = materials.find((item) => item.id === selectedMaterial);
|
||||
if (prevIsGenerating.current && !isGenerating) {
|
||||
if (currentTask?.status === "completed") {
|
||||
void fetchGeneratedVideos("__latest__");
|
||||
} else {
|
||||
void fetchGeneratedVideos();
|
||||
}
|
||||
}
|
||||
prevIsGenerating.current = isGenerating;
|
||||
}, [isGenerating, currentTask, fetchGeneratedVideos]);
|
||||
|
||||
useEffect(() => {
|
||||
const firstSelected = selectedMaterials[0];
|
||||
const material = materials.find((item) => item.id === firstSelected);
|
||||
if (!material?.path) {
|
||||
setMaterialDimensions(null);
|
||||
return;
|
||||
@@ -433,7 +555,6 @@ export const useHomeController = () => {
|
||||
|
||||
let isActive = true;
|
||||
const video = document.createElement("video");
|
||||
video.crossOrigin = "anonymous";
|
||||
video.preload = "metadata";
|
||||
video.src = url;
|
||||
video.load();
|
||||
@@ -460,27 +581,8 @@ export const useHomeController = () => {
|
||||
video.removeEventListener("loadedmetadata", handleLoaded);
|
||||
video.removeEventListener("error", handleError);
|
||||
};
|
||||
}, [materials, selectedMaterial]);
|
||||
}, [materials, selectedMaterials]);
|
||||
|
||||
useEffect(() => {
|
||||
if (!showStylePreview) return;
|
||||
const container = titlePreviewContainerRef.current;
|
||||
if (!container) return;
|
||||
|
||||
setPreviewContainerWidth(container.getBoundingClientRect().width);
|
||||
|
||||
const resizeObserver = new ResizeObserver((entries) => {
|
||||
for (const entry of entries) {
|
||||
setPreviewContainerWidth(entry.contentRect.width);
|
||||
}
|
||||
});
|
||||
|
||||
resizeObserver.observe(container);
|
||||
|
||||
return () => {
|
||||
resizeObserver.disconnect();
|
||||
};
|
||||
}, [showStylePreview]);
|
||||
|
||||
useEffect(() => {
|
||||
if (subtitleSizeLocked || subtitleStyles.length === 0) return;
|
||||
@@ -503,18 +605,31 @@ export const useHomeController = () => {
|
||||
}, [titleStyles, selectedTitleStyleId, titleSizeLocked]);
|
||||
|
||||
useEffect(() => {
|
||||
if (!enableBgm || selectedBgmId || bgmList.length === 0) return;
|
||||
const savedBgmId = localStorage.getItem(`vigent_${storageKey}_bgmId`);
|
||||
const savedItem = savedBgmId && bgmList.find((item) => item.id === savedBgmId);
|
||||
if (savedItem) {
|
||||
setSelectedBgmId(savedBgmId);
|
||||
return;
|
||||
if (secondaryTitleSizeLocked || titleStyles.length === 0) return;
|
||||
const active = titleStyles.find((s) => s.id === selectedSecondaryTitleStyleId)
|
||||
|| titleStyles.find((s) => s.is_default)
|
||||
|| titleStyles[0];
|
||||
if (active?.font_size) {
|
||||
setSecondaryTitleFontSize(active.font_size);
|
||||
}
|
||||
setSelectedBgmId(bgmList[0].id);
|
||||
}, [enableBgm, selectedBgmId, bgmList, storageKey, setSelectedBgmId]);
|
||||
}, [titleStyles, selectedSecondaryTitleStyleId, secondaryTitleSizeLocked]);
|
||||
|
||||
// 移除重复的 BGM 持久化恢复逻辑 (已统一移动到 useHomePersistence 中)
|
||||
// useEffect(() => { ... })
|
||||
|
||||
// 时间门控:页面加载后 1 秒内禁止所有列表自动滚动效果
|
||||
// 防止持久化恢复 + 异步数据加载触发 scrollIntoView 导致移动端页面跳动
|
||||
const scrollEffectsEnabled = useRef(false);
|
||||
useEffect(() => {
|
||||
if (!selectedBgmId) return;
|
||||
const timer = setTimeout(() => {
|
||||
scrollEffectsEnabled.current = true;
|
||||
}, 1000);
|
||||
return () => clearTimeout(timer);
|
||||
}, []);
|
||||
|
||||
// BGM 列表滚动
|
||||
useEffect(() => {
|
||||
if (!selectedBgmId || !scrollEffectsEnabled.current) return;
|
||||
const container = bgmListContainerRef.current;
|
||||
const target = bgmItemRefs.current[selectedBgmId];
|
||||
if (container && target) {
|
||||
@@ -522,16 +637,37 @@ export const useHomeController = () => {
|
||||
}
|
||||
}, [selectedBgmId, bgmList]);
|
||||
|
||||
// 素材列表滚动
|
||||
useEffect(() => {
|
||||
if (!selectedMaterial) return;
|
||||
const target = materialItemRefs.current[selectedMaterial];
|
||||
const firstSelected = selectedMaterials[0];
|
||||
if (!firstSelected || !scrollEffectsEnabled.current) return;
|
||||
const target = materialItemRefs.current[firstSelected];
|
||||
if (target) {
|
||||
target.scrollIntoView({ block: "nearest", behavior: "smooth" });
|
||||
}
|
||||
}, [selectedMaterial, materials]);
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, [selectedMaterials.length]);
|
||||
|
||||
// 【修复】历史视频默认选中逻辑
|
||||
// 当持久化恢复完成,且列表加载完毕,如果没选中任何视频,默认选中第一个
|
||||
useEffect(() => {
|
||||
if (!selectedVideoId) return;
|
||||
if (isRestored && generatedVideos.length > 0 && !selectedVideoId) {
|
||||
const firstId = generatedVideos[0].id;
|
||||
setSelectedVideoId(firstId);
|
||||
setGeneratedVideo(resolveMediaUrl(generatedVideos[0].path));
|
||||
}
|
||||
}, [isRestored, generatedVideos, selectedVideoId, setSelectedVideoId, setGeneratedVideo]);
|
||||
|
||||
// 【修复】BGM 默认选中逻辑
|
||||
useEffect(() => {
|
||||
if (isRestored && bgmList.length > 0 && !selectedBgmId && enableBgm) {
|
||||
setSelectedBgmId(bgmList[0].id);
|
||||
}
|
||||
}, [isRestored, bgmList, selectedBgmId, enableBgm, setSelectedBgmId]);
|
||||
|
||||
// 视频列表滚动
|
||||
useEffect(() => {
|
||||
if (!selectedVideoId || !scrollEffectsEnabled.current) return;
|
||||
const target = videoItemRefs.current[selectedVideoId];
|
||||
if (target) {
|
||||
target.scrollIntoView({ block: "nearest", behavior: "smooth" });
|
||||
@@ -593,7 +729,7 @@ export const useHomeController = () => {
|
||||
setRecordingTime((prev) => prev + 1);
|
||||
}, 1000);
|
||||
} catch (err) {
|
||||
alert("无法访问麦克风,请检查权限设置");
|
||||
toast.error("无法访问麦克风,请检查权限设置");
|
||||
console.error(err);
|
||||
}
|
||||
};
|
||||
@@ -631,13 +767,13 @@ export const useHomeController = () => {
|
||||
// AI 生成标题和标签
|
||||
const handleGenerateMeta = async () => {
|
||||
if (!text.trim()) {
|
||||
alert("请先输入口播文案");
|
||||
toast.error("请先输入口播文案");
|
||||
return;
|
||||
}
|
||||
|
||||
setIsGeneratingMeta(true);
|
||||
try {
|
||||
const { data: res } = await api.post<ApiResponse<{ title?: string; tags?: string[] }>>(
|
||||
const { data: res } = await api.post<ApiResponse<{ title?: string; secondary_title?: string; tags?: string[] }>>(
|
||||
"/api/ai/generate-meta",
|
||||
{ text: text.trim() }
|
||||
);
|
||||
@@ -647,34 +783,108 @@ export const useHomeController = () => {
|
||||
const nextTitle = clampTitle(payload.title || "");
|
||||
titleInput.commitValue(nextTitle);
|
||||
|
||||
// 更新副标题
|
||||
const nextSecondaryTitle = clampSecondaryTitle(payload.secondary_title || "");
|
||||
secondaryTitleInput.commitValue(nextSecondaryTitle);
|
||||
|
||||
// 同步到发布页 localStorage
|
||||
localStorage.setItem(`vigent_${storageKey}_publish_tags`, JSON.stringify(payload.tags || []));
|
||||
} catch (err: any) {
|
||||
} catch (err: unknown) {
|
||||
console.error("AI generate meta failed:", err);
|
||||
const errorMsg = err.response?.data?.message || err.message || String(err);
|
||||
alert(`AI 生成失败: ${errorMsg}`);
|
||||
const axiosErr = err as { response?: { data?: { message?: string } }; message?: string };
|
||||
const errorMsg = axiosErr.response?.data?.message || axiosErr.message || String(err);
|
||||
toast.error(`AI 生成失败: ${errorMsg}`);
|
||||
} finally {
|
||||
setIsGeneratingMeta(false);
|
||||
}
|
||||
};
|
||||
|
||||
// 生成视频
|
||||
const handleGenerate = async () => {
|
||||
if (!selectedMaterial || !text.trim()) {
|
||||
alert("请先选择素材并填写文案");
|
||||
// AI 多语言翻译
|
||||
const handleTranslate = async (targetLang: string) => {
|
||||
if (!text.trim()) {
|
||||
toast.error("请先输入口播文案");
|
||||
return;
|
||||
}
|
||||
|
||||
// 声音克隆模式校验
|
||||
if (ttsMode === "voiceclone") {
|
||||
if (!selectedRefAudio) {
|
||||
alert("请选择或上传参考音频");
|
||||
return;
|
||||
// 首次翻译时保存原文
|
||||
if (originalText === null) {
|
||||
setOriginalText(text);
|
||||
}
|
||||
|
||||
setIsTranslating(true);
|
||||
try {
|
||||
const { data: res } = await api.post<ApiResponse<{ translated_text: string }>>(
|
||||
"/api/ai/translate",
|
||||
{ text: text.trim(), target_lang: targetLang }
|
||||
);
|
||||
const payload = unwrap(res);
|
||||
setText(payload.translated_text || "");
|
||||
|
||||
// 根据翻译目标语言更新 textLang 并自动切换声音
|
||||
const locale = LANG_TO_LOCALE[targetLang] || "zh-CN";
|
||||
setTextLang(locale);
|
||||
if (ttsMode === "edgetts") {
|
||||
const langVoices = VOICES[locale] || VOICES["zh-CN"];
|
||||
setVoice(langVoices[0].id);
|
||||
}
|
||||
} catch (err: unknown) {
|
||||
console.error("AI translate failed:", err);
|
||||
const axiosErr = err as { response?: { data?: { message?: string } }; message?: string };
|
||||
const errorMsg = axiosErr.response?.data?.message || axiosErr.message || String(err);
|
||||
toast.error(`AI 翻译失败: ${errorMsg}`);
|
||||
} finally {
|
||||
setIsTranslating(false);
|
||||
}
|
||||
};
|
||||
|
||||
const handleRestoreOriginal = () => {
|
||||
if (originalText !== null) {
|
||||
setText(originalText);
|
||||
setOriginalText(null);
|
||||
setTextLang("zh-CN");
|
||||
if (ttsMode === "edgetts") {
|
||||
setVoice(VOICES["zh-CN"][0].id);
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
// 生成配音
|
||||
const handleGenerateAudio = async () => {
|
||||
if (!text.trim()) {
|
||||
toast.error("请先输入文案");
|
||||
return;
|
||||
}
|
||||
if (ttsMode === "voiceclone" && !selectedRefAudio) {
|
||||
toast.error("请选择参考音频");
|
||||
return;
|
||||
}
|
||||
|
||||
const params = {
|
||||
text: text.trim(),
|
||||
tts_mode: ttsMode,
|
||||
voice: ttsMode === "edgetts" ? voice : undefined,
|
||||
ref_audio_id: ttsMode === "voiceclone" ? selectedRefAudio!.id : undefined,
|
||||
ref_text: ttsMode === "voiceclone" ? refText : undefined,
|
||||
language: textLang,
|
||||
speed: ttsMode === "voiceclone" ? speed : undefined,
|
||||
};
|
||||
await generateAudio(params);
|
||||
};
|
||||
|
||||
// 生成视频
|
||||
const handleGenerate = async () => {
|
||||
if (selectedMaterials.length === 0 || !text.trim()) {
|
||||
toast.error("请先选择素材并填写文案");
|
||||
return;
|
||||
}
|
||||
|
||||
if (!selectedAudio) {
|
||||
toast.error("请先生成并选中配音");
|
||||
return;
|
||||
}
|
||||
|
||||
if (enableBgm && !selectedBgmId) {
|
||||
alert("请选择背景音乐");
|
||||
toast.error("请选择背景音乐");
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -682,26 +892,81 @@ export const useHomeController = () => {
|
||||
|
||||
try {
|
||||
// 查找选中的素材对象以获取路径
|
||||
const materialObj = materials.find((m) => m.id === selectedMaterial);
|
||||
if (!materialObj) {
|
||||
alert("素材数据异常");
|
||||
const firstMaterialObj = materials.find((m) => m.id === selectedMaterials[0]);
|
||||
if (!firstMaterialObj) {
|
||||
toast.error("素材数据异常");
|
||||
return;
|
||||
}
|
||||
|
||||
// 构建请求参数
|
||||
const payload: Record<string, any> = {
|
||||
material_path: materialObj.path,
|
||||
text: text,
|
||||
tts_mode: ttsMode,
|
||||
// 构建请求参数 - 使用预生成配音
|
||||
const payload: Record<string, unknown> = {
|
||||
material_path: firstMaterialObj.path,
|
||||
text: selectedAudio.text || text,
|
||||
generated_audio_id: selectedAudio.id,
|
||||
language: selectedAudio.language || textLang,
|
||||
title: videoTitle.trim() || undefined,
|
||||
enable_subtitles: enableSubtitles,
|
||||
enable_subtitles: true,
|
||||
output_aspect_ratio: outputAspectRatio,
|
||||
};
|
||||
|
||||
if (enableSubtitles && selectedSubtitleStyleId) {
|
||||
// 多素材
|
||||
if (selectedMaterials.length > 1) {
|
||||
const timelineOrderedIds = timelineSegments
|
||||
.map((seg) => seg.materialId)
|
||||
.filter((id, index, arr) => arr.indexOf(id) === index);
|
||||
const orderedMaterialIds = [
|
||||
...timelineOrderedIds.filter((id) => selectedMaterials.includes(id)),
|
||||
...selectedMaterials.filter((id) => !timelineOrderedIds.includes(id)),
|
||||
];
|
||||
|
||||
const materialPaths = orderedMaterialIds
|
||||
.map((id) => materials.find((x) => x.id === id)?.path)
|
||||
.filter((path): path is string => !!path);
|
||||
|
||||
if (materialPaths.length === 0) {
|
||||
toast.error("多素材解析失败,请刷新素材后重试");
|
||||
return;
|
||||
}
|
||||
|
||||
payload.material_paths = materialPaths;
|
||||
payload.material_path = materialPaths[0];
|
||||
|
||||
// 发送自定义时间轴分配
|
||||
const assignments = toCustomAssignments();
|
||||
if (assignments.length > 0) {
|
||||
const assignmentPaths = assignments
|
||||
.map((a) => a.material_path)
|
||||
.filter((path): path is string => !!path);
|
||||
|
||||
if (assignmentPaths.length === assignments.length) {
|
||||
// 以时间轴可见段为准:超出时间轴的素材不会参与本次生成
|
||||
payload.material_paths = assignmentPaths;
|
||||
payload.material_path = assignmentPaths[0];
|
||||
}
|
||||
payload.custom_assignments = assignments;
|
||||
} else {
|
||||
console.warn(
|
||||
"[Timeline] custom_assignments 为空,回退后端自动分配",
|
||||
{ materials: materialPaths.length }
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
// 单素材 + 截取范围
|
||||
const singleSeg = timelineSegments[0];
|
||||
if (
|
||||
selectedMaterials.length === 1
|
||||
&& singleSeg
|
||||
&& (singleSeg.sourceStart > 0 || singleSeg.sourceEnd > 0)
|
||||
) {
|
||||
payload.custom_assignments = toCustomAssignments();
|
||||
}
|
||||
|
||||
if (selectedSubtitleStyleId) {
|
||||
payload.subtitle_style_id = selectedSubtitleStyleId;
|
||||
}
|
||||
|
||||
if (enableSubtitles && subtitleFontSize) {
|
||||
if (subtitleFontSize) {
|
||||
payload.subtitle_font_size = Math.round(subtitleFontSize);
|
||||
}
|
||||
|
||||
@@ -713,18 +978,35 @@ export const useHomeController = () => {
|
||||
payload.title_font_size = Math.round(titleFontSize);
|
||||
}
|
||||
|
||||
if (videoTitle.trim() || videoSecondaryTitle.trim()) {
|
||||
payload.title_display_mode = titleDisplayMode;
|
||||
if (titleDisplayMode === "short") {
|
||||
payload.title_duration = DEFAULT_SHORT_TITLE_DURATION;
|
||||
}
|
||||
}
|
||||
|
||||
if (videoTitle.trim()) {
|
||||
payload.title_top_margin = Math.round(titleTopMargin);
|
||||
}
|
||||
|
||||
if (videoSecondaryTitle.trim()) {
|
||||
payload.secondary_title = videoSecondaryTitle.trim();
|
||||
if (selectedSecondaryTitleStyleId) {
|
||||
payload.secondary_title_style_id = selectedSecondaryTitleStyleId;
|
||||
}
|
||||
if (secondaryTitleFontSize) {
|
||||
payload.secondary_title_font_size = Math.round(secondaryTitleFontSize);
|
||||
}
|
||||
payload.secondary_title_top_margin = Math.round(secondaryTitleTopMargin);
|
||||
}
|
||||
|
||||
payload.subtitle_bottom_margin = Math.round(subtitleBottomMargin);
|
||||
|
||||
if (enableBgm && selectedBgmId) {
|
||||
payload.bgm_id = selectedBgmId;
|
||||
payload.bgm_volume = bgmVolume;
|
||||
}
|
||||
|
||||
if (ttsMode === "edgetts") {
|
||||
payload.voice = voice;
|
||||
} else {
|
||||
payload.ref_audio_id = selectedRefAudio!.id;
|
||||
payload.ref_text = refText;
|
||||
}
|
||||
|
||||
// 创建生成任务
|
||||
const { data: res } = await api.post<ApiResponse<{ task_id: string }>>(
|
||||
"/api/videos/generate",
|
||||
@@ -785,8 +1067,8 @@ export const useHomeController = () => {
|
||||
fetchMaterials,
|
||||
deleteMaterial,
|
||||
handleUpload,
|
||||
selectedMaterial,
|
||||
setSelectedMaterial,
|
||||
selectedMaterials,
|
||||
toggleMaterial,
|
||||
handlePreviewMaterial,
|
||||
editingMaterialId,
|
||||
editMaterialName,
|
||||
@@ -800,6 +1082,13 @@ export const useHomeController = () => {
|
||||
setExtractModalOpen,
|
||||
handleGenerateMeta,
|
||||
isGeneratingMeta,
|
||||
handleTranslate,
|
||||
isTranslating,
|
||||
originalText,
|
||||
handleRestoreOriginal,
|
||||
savedScripts,
|
||||
handleSaveScript,
|
||||
deleteSavedScript,
|
||||
showStylePreview,
|
||||
setShowStylePreview,
|
||||
videoTitle,
|
||||
@@ -810,25 +1099,39 @@ export const useHomeController = () => {
|
||||
titleFontSize,
|
||||
setTitleFontSize,
|
||||
setTitleSizeLocked,
|
||||
videoSecondaryTitle,
|
||||
secondaryTitleInput,
|
||||
selectedSecondaryTitleStyleId,
|
||||
setSelectedSecondaryTitleStyleId,
|
||||
secondaryTitleFontSize,
|
||||
setSecondaryTitleFontSize,
|
||||
setSecondaryTitleSizeLocked,
|
||||
secondaryTitleTopMargin,
|
||||
setSecondaryTitleTopMargin,
|
||||
subtitleStyles,
|
||||
selectedSubtitleStyleId,
|
||||
setSelectedSubtitleStyleId,
|
||||
subtitleFontSize,
|
||||
setSubtitleFontSize,
|
||||
setSubtitleSizeLocked,
|
||||
enableSubtitles,
|
||||
setEnableSubtitles,
|
||||
titleTopMargin,
|
||||
setTitleTopMargin,
|
||||
titleDisplayMode,
|
||||
setTitleDisplayMode,
|
||||
subtitleBottomMargin,
|
||||
setSubtitleBottomMargin,
|
||||
outputAspectRatio,
|
||||
setOutputAspectRatio,
|
||||
resolveAssetUrl,
|
||||
getFontFormat,
|
||||
buildTextShadow,
|
||||
previewContainerWidth,
|
||||
materialDimensions,
|
||||
titlePreviewContainerRef,
|
||||
ttsMode,
|
||||
setTtsMode,
|
||||
voices: VOICES,
|
||||
voices: VOICES[textLang] || VOICES["zh-CN"],
|
||||
voice,
|
||||
setVoice,
|
||||
textLang,
|
||||
refAudios,
|
||||
selectedRefAudio,
|
||||
handleSelectRefAudio,
|
||||
@@ -846,6 +1149,8 @@ export const useHomeController = () => {
|
||||
saveEditing,
|
||||
cancelEditing,
|
||||
deleteRefAudio,
|
||||
retranscribeRefAudio,
|
||||
retranscribingId,
|
||||
recordedBlob,
|
||||
isRecording,
|
||||
recordingTime,
|
||||
@@ -853,7 +1158,6 @@ export const useHomeController = () => {
|
||||
stopRecording,
|
||||
useRecording,
|
||||
formatRecordingTime,
|
||||
fixedRefText: FIXED_REF_TEXT,
|
||||
bgmList,
|
||||
bgmLoading,
|
||||
bgmError,
|
||||
@@ -879,5 +1183,24 @@ export const useHomeController = () => {
|
||||
fetchGeneratedVideos,
|
||||
registerVideoRef,
|
||||
formatDate,
|
||||
generatedAudios,
|
||||
selectedAudio,
|
||||
selectedAudioId,
|
||||
isGeneratingAudio,
|
||||
audioTask,
|
||||
fetchGeneratedAudios,
|
||||
handleGenerateAudio,
|
||||
deleteAudio,
|
||||
renameAudio,
|
||||
selectAudio,
|
||||
speed,
|
||||
setSpeed,
|
||||
timelineSegments,
|
||||
reorderSegments,
|
||||
setSourceRange,
|
||||
clipTrimmerOpen,
|
||||
setClipTrimmerOpen,
|
||||
clipTrimmerSegmentId,
|
||||
setClipTrimmerSegmentId,
|
||||
};
|
||||
};
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import { useEffect, useState } from "react";
|
||||
import { clampTitle } from "@/shared/lib/title";
|
||||
import { clampTitle, clampSecondaryTitle } from "@/shared/lib/title";
|
||||
|
||||
interface RefAudio {
|
||||
id: string;
|
||||
@@ -17,24 +17,41 @@ interface UseHomePersistenceOptions {
|
||||
setText: React.Dispatch<React.SetStateAction<string>>;
|
||||
videoTitle: string;
|
||||
setVideoTitle: React.Dispatch<React.SetStateAction<string>>;
|
||||
enableSubtitles: boolean;
|
||||
setEnableSubtitles: React.Dispatch<React.SetStateAction<boolean>>;
|
||||
videoSecondaryTitle: string;
|
||||
setVideoSecondaryTitle: React.Dispatch<React.SetStateAction<string>>;
|
||||
ttsMode: 'edgetts' | 'voiceclone';
|
||||
setTtsMode: React.Dispatch<React.SetStateAction<'edgetts' | 'voiceclone'>>;
|
||||
voice: string;
|
||||
setVoice: React.Dispatch<React.SetStateAction<string>>;
|
||||
selectedMaterial: string;
|
||||
setSelectedMaterial: React.Dispatch<React.SetStateAction<string>>;
|
||||
textLang: string;
|
||||
setTextLang: React.Dispatch<React.SetStateAction<string>>;
|
||||
selectedMaterials: string[];
|
||||
setSelectedMaterials: React.Dispatch<React.SetStateAction<string[]>>;
|
||||
selectedSubtitleStyleId: string;
|
||||
setSelectedSubtitleStyleId: React.Dispatch<React.SetStateAction<string>>;
|
||||
selectedTitleStyleId: string;
|
||||
setSelectedTitleStyleId: React.Dispatch<React.SetStateAction<string>>;
|
||||
selectedSecondaryTitleStyleId: string;
|
||||
setSelectedSecondaryTitleStyleId: React.Dispatch<React.SetStateAction<string>>;
|
||||
subtitleFontSize: number;
|
||||
setSubtitleFontSize: React.Dispatch<React.SetStateAction<number>>;
|
||||
titleFontSize: number;
|
||||
setTitleFontSize: React.Dispatch<React.SetStateAction<number>>;
|
||||
secondaryTitleFontSize: number;
|
||||
setSecondaryTitleFontSize: React.Dispatch<React.SetStateAction<number>>;
|
||||
setSubtitleSizeLocked: React.Dispatch<React.SetStateAction<boolean>>;
|
||||
setTitleSizeLocked: React.Dispatch<React.SetStateAction<boolean>>;
|
||||
setSecondaryTitleSizeLocked: React.Dispatch<React.SetStateAction<boolean>>;
|
||||
titleTopMargin: number;
|
||||
setTitleTopMargin: React.Dispatch<React.SetStateAction<number>>;
|
||||
secondaryTitleTopMargin: number;
|
||||
setSecondaryTitleTopMargin: React.Dispatch<React.SetStateAction<number>>;
|
||||
titleDisplayMode: 'short' | 'persistent';
|
||||
setTitleDisplayMode: React.Dispatch<React.SetStateAction<'short' | 'persistent'>>;
|
||||
subtitleBottomMargin: number;
|
||||
setSubtitleBottomMargin: React.Dispatch<React.SetStateAction<number>>;
|
||||
outputAspectRatio: '9:16' | '16:9';
|
||||
setOutputAspectRatio: React.Dispatch<React.SetStateAction<'9:16' | '16:9'>>;
|
||||
selectedBgmId: string;
|
||||
setSelectedBgmId: React.Dispatch<React.SetStateAction<string>>;
|
||||
bgmVolume: number;
|
||||
@@ -44,6 +61,10 @@ interface UseHomePersistenceOptions {
|
||||
selectedVideoId: string | null;
|
||||
setSelectedVideoId: React.Dispatch<React.SetStateAction<string | null>>;
|
||||
selectedRefAudio: RefAudio | null;
|
||||
selectedAudioId: string | null;
|
||||
setSelectedAudioId: React.Dispatch<React.SetStateAction<string | null>>;
|
||||
speed: number;
|
||||
setSpeed: React.Dispatch<React.SetStateAction<number>>;
|
||||
}
|
||||
|
||||
export const useHomePersistence = ({
|
||||
@@ -53,24 +74,41 @@ export const useHomePersistence = ({
|
||||
setText,
|
||||
videoTitle,
|
||||
setVideoTitle,
|
||||
enableSubtitles,
|
||||
setEnableSubtitles,
|
||||
videoSecondaryTitle,
|
||||
setVideoSecondaryTitle,
|
||||
ttsMode,
|
||||
setTtsMode,
|
||||
voice,
|
||||
setVoice,
|
||||
selectedMaterial,
|
||||
setSelectedMaterial,
|
||||
textLang,
|
||||
setTextLang,
|
||||
selectedMaterials,
|
||||
setSelectedMaterials,
|
||||
selectedSubtitleStyleId,
|
||||
setSelectedSubtitleStyleId,
|
||||
selectedTitleStyleId,
|
||||
setSelectedTitleStyleId,
|
||||
selectedSecondaryTitleStyleId,
|
||||
setSelectedSecondaryTitleStyleId,
|
||||
subtitleFontSize,
|
||||
setSubtitleFontSize,
|
||||
titleFontSize,
|
||||
setTitleFontSize,
|
||||
secondaryTitleFontSize,
|
||||
setSecondaryTitleFontSize,
|
||||
setSubtitleSizeLocked,
|
||||
setTitleSizeLocked,
|
||||
setSecondaryTitleSizeLocked,
|
||||
titleTopMargin,
|
||||
setTitleTopMargin,
|
||||
secondaryTitleTopMargin,
|
||||
setSecondaryTitleTopMargin,
|
||||
titleDisplayMode,
|
||||
setTitleDisplayMode,
|
||||
subtitleBottomMargin,
|
||||
setSubtitleBottomMargin,
|
||||
outputAspectRatio,
|
||||
setOutputAspectRatio,
|
||||
selectedBgmId,
|
||||
setSelectedBgmId,
|
||||
bgmVolume,
|
||||
@@ -80,6 +118,10 @@ export const useHomePersistence = ({
|
||||
selectedVideoId,
|
||||
setSelectedVideoId,
|
||||
selectedRefAudio,
|
||||
selectedAudioId,
|
||||
setSelectedAudioId,
|
||||
speed,
|
||||
setSpeed,
|
||||
}: UseHomePersistenceOptions) => {
|
||||
const [isRestored, setIsRestored] = useState(false);
|
||||
|
||||
@@ -88,28 +130,52 @@ export const useHomePersistence = ({
|
||||
|
||||
const savedText = localStorage.getItem(`vigent_${storageKey}_text`);
|
||||
const savedTitle = localStorage.getItem(`vigent_${storageKey}_title`);
|
||||
const savedSubtitles = localStorage.getItem(`vigent_${storageKey}_subtitles`);
|
||||
const savedSecondaryTitle = localStorage.getItem(`vigent_${storageKey}_secondaryTitle`);
|
||||
const savedTtsMode = localStorage.getItem(`vigent_${storageKey}_ttsMode`);
|
||||
const savedVoice = localStorage.getItem(`vigent_${storageKey}_voice`);
|
||||
const savedTextLang = localStorage.getItem(`vigent_${storageKey}_textLang`);
|
||||
const savedMaterial = localStorage.getItem(`vigent_${storageKey}_material`);
|
||||
const savedSubtitleStyle = localStorage.getItem(`vigent_${storageKey}_subtitleStyle`);
|
||||
const savedTitleStyle = localStorage.getItem(`vigent_${storageKey}_titleStyle`);
|
||||
const savedSecondaryTitleStyle = localStorage.getItem(`vigent_${storageKey}_secondaryTitleStyle`);
|
||||
const savedSubtitleFontSize = localStorage.getItem(`vigent_${storageKey}_subtitleFontSize`);
|
||||
const savedTitleFontSize = localStorage.getItem(`vigent_${storageKey}_titleFontSize`);
|
||||
const savedSecondaryTitleFontSize = localStorage.getItem(`vigent_${storageKey}_secondaryTitleFontSize`);
|
||||
const savedBgmId = localStorage.getItem(`vigent_${storageKey}_bgmId`);
|
||||
const savedSelectedVideoId = localStorage.getItem(`vigent_${storageKey}_selectedVideoId`);
|
||||
const savedSelectedAudioId = localStorage.getItem(`vigent_${storageKey}_selectedAudioId`);
|
||||
const savedBgmVolume = localStorage.getItem(`vigent_${storageKey}_bgmVolume`);
|
||||
const savedEnableBgm = localStorage.getItem(`vigent_${storageKey}_enableBgm`);
|
||||
const savedTitleTopMargin = localStorage.getItem(`vigent_${storageKey}_titleTopMargin`);
|
||||
const savedSecondaryTitleTopMargin = localStorage.getItem(`vigent_${storageKey}_secondaryTitleTopMargin`);
|
||||
const savedTitleDisplayMode = localStorage.getItem(`vigent_${storageKey}_titleDisplayMode`);
|
||||
const savedSubtitleBottomMargin = localStorage.getItem(`vigent_${storageKey}_subtitleBottomMargin`);
|
||||
const savedOutputAspectRatio = localStorage.getItem(`vigent_${storageKey}_outputAspectRatio`);
|
||||
const savedSpeed = localStorage.getItem(`vigent_${storageKey}_speed`);
|
||||
|
||||
setText(savedText || "大家好,欢迎来到我的频道,今天给大家分享一些有趣的内容。");
|
||||
setVideoTitle(savedTitle ? clampTitle(savedTitle) : "");
|
||||
setEnableSubtitles(savedSubtitles !== null ? savedSubtitles === 'true' : true);
|
||||
setVideoSecondaryTitle(savedSecondaryTitle ? clampSecondaryTitle(savedSecondaryTitle) : "");
|
||||
setTtsMode((savedTtsMode as 'edgetts' | 'voiceclone') || 'edgetts');
|
||||
setVoice(savedVoice || "zh-CN-YunxiNeural");
|
||||
if (savedTextLang) setTextLang(savedTextLang);
|
||||
|
||||
if (savedMaterial) setSelectedMaterial(savedMaterial);
|
||||
if (savedMaterial) {
|
||||
try {
|
||||
const parsed = JSON.parse(savedMaterial);
|
||||
if (Array.isArray(parsed)) {
|
||||
setSelectedMaterials(parsed);
|
||||
} else {
|
||||
setSelectedMaterials([savedMaterial]);
|
||||
}
|
||||
} catch {
|
||||
// 旧格式: 单字符串
|
||||
setSelectedMaterials([savedMaterial]);
|
||||
}
|
||||
}
|
||||
if (savedSubtitleStyle) setSelectedSubtitleStyleId(savedSubtitleStyle);
|
||||
if (savedTitleStyle) setSelectedTitleStyleId(savedTitleStyle);
|
||||
if (savedSecondaryTitleStyle) setSelectedSecondaryTitleStyleId(savedSecondaryTitleStyle);
|
||||
|
||||
if (savedSubtitleFontSize) {
|
||||
const parsed = parseInt(savedSubtitleFontSize, 10);
|
||||
@@ -127,29 +193,75 @@ export const useHomePersistence = ({
|
||||
}
|
||||
}
|
||||
|
||||
if (savedSecondaryTitleFontSize) {
|
||||
const parsed = parseInt(savedSecondaryTitleFontSize, 10);
|
||||
if (!Number.isNaN(parsed)) {
|
||||
setSecondaryTitleFontSize(parsed);
|
||||
setSecondaryTitleSizeLocked(true);
|
||||
}
|
||||
}
|
||||
|
||||
if (savedBgmId) setSelectedBgmId(savedBgmId);
|
||||
if (savedBgmVolume) setBgmVolume(parseFloat(savedBgmVolume));
|
||||
if (savedEnableBgm !== null) setEnableBgm(savedEnableBgm === 'true');
|
||||
if (savedSelectedVideoId) setSelectedVideoId(savedSelectedVideoId);
|
||||
if (savedSelectedAudioId) setSelectedAudioId(savedSelectedAudioId);
|
||||
|
||||
if (savedTitleTopMargin) {
|
||||
const parsed = parseInt(savedTitleTopMargin, 10);
|
||||
if (!Number.isNaN(parsed)) setTitleTopMargin(parsed);
|
||||
}
|
||||
if (savedSecondaryTitleTopMargin) {
|
||||
const parsed = parseInt(savedSecondaryTitleTopMargin, 10);
|
||||
if (!Number.isNaN(parsed)) setSecondaryTitleTopMargin(parsed);
|
||||
}
|
||||
if (savedTitleDisplayMode === 'short' || savedTitleDisplayMode === 'persistent') {
|
||||
setTitleDisplayMode(savedTitleDisplayMode);
|
||||
}
|
||||
if (savedSubtitleBottomMargin) {
|
||||
const parsed = parseInt(savedSubtitleBottomMargin, 10);
|
||||
if (!Number.isNaN(parsed)) setSubtitleBottomMargin(parsed);
|
||||
}
|
||||
|
||||
if (savedOutputAspectRatio === '9:16' || savedOutputAspectRatio === '16:9') {
|
||||
setOutputAspectRatio(savedOutputAspectRatio);
|
||||
}
|
||||
|
||||
if (savedSpeed) {
|
||||
const parsed = parseFloat(savedSpeed);
|
||||
if (!Number.isNaN(parsed)) setSpeed(parsed);
|
||||
}
|
||||
|
||||
// eslint-disable-next-line react-hooks/set-state-in-effect
|
||||
setIsRestored(true);
|
||||
}, [
|
||||
isAuthLoading,
|
||||
setBgmVolume,
|
||||
setEnableBgm,
|
||||
setEnableSubtitles,
|
||||
setSelectedBgmId,
|
||||
setSelectedMaterial,
|
||||
setSelectedMaterials,
|
||||
setSelectedSubtitleStyleId,
|
||||
setSelectedTitleStyleId,
|
||||
setSelectedSecondaryTitleStyleId,
|
||||
setSelectedVideoId,
|
||||
setSelectedAudioId,
|
||||
setSpeed,
|
||||
setSubtitleFontSize,
|
||||
setSubtitleSizeLocked,
|
||||
setText,
|
||||
setTextLang,
|
||||
setTitleFontSize,
|
||||
setTitleSizeLocked,
|
||||
setSecondaryTitleFontSize,
|
||||
setSecondaryTitleSizeLocked,
|
||||
setTitleTopMargin,
|
||||
setSecondaryTitleTopMargin,
|
||||
setTitleDisplayMode,
|
||||
setSubtitleBottomMargin,
|
||||
setOutputAspectRatio,
|
||||
setTtsMode,
|
||||
setVideoTitle,
|
||||
setVideoSecondaryTitle,
|
||||
setVoice,
|
||||
storageKey,
|
||||
]);
|
||||
@@ -171,8 +283,12 @@ export const useHomePersistence = ({
|
||||
}, [videoTitle, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isRestored) localStorage.setItem(`vigent_${storageKey}_subtitles`, String(enableSubtitles));
|
||||
}, [enableSubtitles, storageKey, isRestored]);
|
||||
if (!isRestored) return;
|
||||
const timeout = setTimeout(() => {
|
||||
localStorage.setItem(`vigent_${storageKey}_secondaryTitle`, videoSecondaryTitle);
|
||||
}, 300);
|
||||
return () => clearTimeout(timeout);
|
||||
}, [videoSecondaryTitle, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isRestored) localStorage.setItem(`vigent_${storageKey}_ttsMode`, ttsMode);
|
||||
@@ -183,10 +299,14 @@ export const useHomePersistence = ({
|
||||
}, [voice, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isRestored && selectedMaterial) {
|
||||
localStorage.setItem(`vigent_${storageKey}_material`, selectedMaterial);
|
||||
if (isRestored) localStorage.setItem(`vigent_${storageKey}_textLang`, textLang);
|
||||
}, [textLang, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isRestored && selectedMaterials.length > 0) {
|
||||
localStorage.setItem(`vigent_${storageKey}_material`, JSON.stringify(selectedMaterials));
|
||||
}
|
||||
}, [selectedMaterial, storageKey, isRestored]);
|
||||
}, [selectedMaterials, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isRestored && selectedSubtitleStyleId) {
|
||||
@@ -200,6 +320,12 @@ export const useHomePersistence = ({
|
||||
}
|
||||
}, [selectedTitleStyleId, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isRestored && selectedSecondaryTitleStyleId) {
|
||||
localStorage.setItem(`vigent_${storageKey}_secondaryTitleStyle`, selectedSecondaryTitleStyleId);
|
||||
}
|
||||
}, [selectedSecondaryTitleStyleId, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isRestored) {
|
||||
localStorage.setItem(`vigent_${storageKey}_subtitleFontSize`, String(subtitleFontSize));
|
||||
@@ -212,6 +338,42 @@ export const useHomePersistence = ({
|
||||
}
|
||||
}, [titleFontSize, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isRestored) {
|
||||
localStorage.setItem(`vigent_${storageKey}_secondaryTitleFontSize`, String(secondaryTitleFontSize));
|
||||
}
|
||||
}, [secondaryTitleFontSize, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isRestored) {
|
||||
localStorage.setItem(`vigent_${storageKey}_titleTopMargin`, String(titleTopMargin));
|
||||
}
|
||||
}, [titleTopMargin, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isRestored) {
|
||||
localStorage.setItem(`vigent_${storageKey}_secondaryTitleTopMargin`, String(secondaryTitleTopMargin));
|
||||
}
|
||||
}, [secondaryTitleTopMargin, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isRestored) {
|
||||
localStorage.setItem(`vigent_${storageKey}_titleDisplayMode`, titleDisplayMode);
|
||||
}
|
||||
}, [titleDisplayMode, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isRestored) {
|
||||
localStorage.setItem(`vigent_${storageKey}_subtitleBottomMargin`, String(subtitleBottomMargin));
|
||||
}
|
||||
}, [subtitleBottomMargin, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isRestored) {
|
||||
localStorage.setItem(`vigent_${storageKey}_outputAspectRatio`, outputAspectRatio);
|
||||
}
|
||||
}, [outputAspectRatio, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isRestored) {
|
||||
localStorage.setItem(`vigent_${storageKey}_bgmId`, selectedBgmId);
|
||||
@@ -241,11 +403,26 @@ export const useHomePersistence = ({
|
||||
}
|
||||
}, [selectedVideoId, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (!isRestored) return;
|
||||
if (selectedAudioId) {
|
||||
localStorage.setItem(`vigent_${storageKey}_selectedAudioId`, selectedAudioId);
|
||||
} else {
|
||||
localStorage.removeItem(`vigent_${storageKey}_selectedAudioId`);
|
||||
}
|
||||
}, [selectedAudioId, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isRestored && selectedRefAudio) {
|
||||
localStorage.setItem(`vigent_${storageKey}_refAudioId`, selectedRefAudio.id);
|
||||
}
|
||||
}, [selectedRefAudio, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isRestored) {
|
||||
localStorage.setItem(`vigent_${storageKey}_speed`, String(speed));
|
||||
}
|
||||
}, [speed, storageKey, isRestored]);
|
||||
|
||||
return { isRestored };
|
||||
};
|
||||
|
||||
@@ -1,23 +1,45 @@
|
||||
import { useCallback, useState } from "react";
|
||||
import api from "@/shared/api/axios";
|
||||
import { ApiResponse, unwrap } from "@/shared/api/types";
|
||||
import { toast } from "sonner";
|
||||
import { resolveMediaUrl } from "@/shared/lib/media";
|
||||
import type { Material } from "@/shared/types/material";
|
||||
|
||||
interface Material {
|
||||
id: string;
|
||||
name: string;
|
||||
scene: string;
|
||||
size_mb: number;
|
||||
path: string;
|
||||
/** Probe video duration from a URL using <video> element */
|
||||
function probeVideoDuration(url: string): Promise<number> {
|
||||
return new Promise((resolve) => {
|
||||
const video = document.createElement("video");
|
||||
video.preload = "metadata";
|
||||
video.crossOrigin = "anonymous";
|
||||
const cleanup = () => {
|
||||
video.removeEventListener("loadedmetadata", onMeta);
|
||||
video.removeEventListener("error", onError);
|
||||
video.src = "";
|
||||
};
|
||||
const onMeta = () => {
|
||||
const dur = video.duration;
|
||||
cleanup();
|
||||
resolve(Number.isFinite(dur) ? dur : 0);
|
||||
};
|
||||
const onError = () => {
|
||||
cleanup();
|
||||
resolve(0);
|
||||
};
|
||||
video.addEventListener("loadedmetadata", onMeta);
|
||||
video.addEventListener("error", onError);
|
||||
video.src = url;
|
||||
video.load();
|
||||
});
|
||||
}
|
||||
|
||||
interface UseMaterialsOptions {
|
||||
selectedMaterial: string;
|
||||
setSelectedMaterial: React.Dispatch<React.SetStateAction<string>>;
|
||||
selectedMaterials: string[];
|
||||
setSelectedMaterials: React.Dispatch<React.SetStateAction<string[]>>;
|
||||
}
|
||||
|
||||
export const useMaterials = ({
|
||||
selectedMaterial,
|
||||
setSelectedMaterial,
|
||||
selectedMaterials,
|
||||
setSelectedMaterials,
|
||||
}: UseMaterialsOptions) => {
|
||||
const [materials, setMaterials] = useState<Material[]>([]);
|
||||
const [fetchError, setFetchError] = useState<string | null>(null);
|
||||
@@ -40,41 +62,84 @@ export const useMaterials = ({
|
||||
setMaterials(nextMaterials);
|
||||
setLastMaterialCount(nextMaterials.length);
|
||||
|
||||
const nextSelected = nextMaterials.find((item: Material) => item.id === selectedMaterial)?.id
|
||||
|| nextMaterials[0]?.id
|
||||
|| "";
|
||||
if (nextSelected !== selectedMaterial) {
|
||||
setSelectedMaterial(nextSelected);
|
||||
// Probe video durations in background
|
||||
if (nextMaterials.length > 0) {
|
||||
Promise.all(
|
||||
nextMaterials.map(async (m) => {
|
||||
const url = resolveMediaUrl(m.path);
|
||||
if (!url) return m;
|
||||
const dur = await probeVideoDuration(url);
|
||||
return { ...m, duration_sec: dur };
|
||||
})
|
||||
).then((enriched) => setMaterials(enriched));
|
||||
}
|
||||
|
||||
setSelectedMaterials((prev) => {
|
||||
// 保留已选中且仍存在的
|
||||
const existingIds = new Set(nextMaterials.map((m) => m.id));
|
||||
const kept = prev.filter((id) => existingIds.has(id));
|
||||
if (kept.length > 0) return kept;
|
||||
// 否则默认选中第一个
|
||||
return nextMaterials[0]?.id ? [nextMaterials[0].id] : [];
|
||||
});
|
||||
} catch (error) {
|
||||
console.error("获取素材失败:", error);
|
||||
setFetchError(String(error));
|
||||
} finally {
|
||||
setIsFetching(false);
|
||||
}
|
||||
}, [selectedMaterial, setSelectedMaterial]);
|
||||
}, [setSelectedMaterials]);
|
||||
|
||||
const MAX_MATERIALS = 4;
|
||||
|
||||
const toggleMaterial = useCallback((id: string) => {
|
||||
setSelectedMaterials((prev) => {
|
||||
if (prev.includes(id)) {
|
||||
// 不能取消最后一个
|
||||
if (prev.length <= 1) return prev;
|
||||
return prev.filter((x) => x !== id);
|
||||
}
|
||||
if (prev.length >= MAX_MATERIALS) return prev;
|
||||
return [...prev, id];
|
||||
});
|
||||
}, [setSelectedMaterials]);
|
||||
|
||||
const reorderMaterials = useCallback((activeId: string, overId: string) => {
|
||||
setSelectedMaterials((prev) => {
|
||||
const oldIndex = prev.indexOf(activeId);
|
||||
const newIndex = prev.indexOf(overId);
|
||||
if (oldIndex === -1 || newIndex === -1) return prev;
|
||||
const next = [...prev];
|
||||
next.splice(oldIndex, 1);
|
||||
next.splice(newIndex, 0, activeId);
|
||||
return next;
|
||||
});
|
||||
}, [setSelectedMaterials]);
|
||||
|
||||
const deleteMaterial = useCallback(async (materialId: string) => {
|
||||
if (!confirm("确定要删除这个素材吗?")) return;
|
||||
try {
|
||||
await api.delete(`/api/materials/${materialId}`);
|
||||
fetchMaterials();
|
||||
if (selectedMaterial === materialId) {
|
||||
setSelectedMaterial("");
|
||||
if (selectedMaterials.includes(materialId)) {
|
||||
setSelectedMaterials((prev) => {
|
||||
const next = prev.filter((id) => id !== materialId);
|
||||
return next.length > 0 ? next : [];
|
||||
});
|
||||
}
|
||||
} catch (error) {
|
||||
alert("删除失败: " + error);
|
||||
toast.error("删除失败: " + error);
|
||||
}
|
||||
}, [fetchMaterials, selectedMaterial, setSelectedMaterial]);
|
||||
}, [fetchMaterials, selectedMaterials, setSelectedMaterials]);
|
||||
|
||||
const handleUpload = useCallback(async (e: React.ChangeEvent<HTMLInputElement>) => {
|
||||
const file = e.target.files?.[0];
|
||||
if (!file) return;
|
||||
|
||||
const validTypes = ['.mp4', '.mov', '.avi'];
|
||||
const validTypes = ['.mp4', '.mov', '.avi', '.mkv', '.webm', '.flv', '.wmv', '.m4v', '.ts', '.mts'];
|
||||
const ext = file.name.toLowerCase().slice(file.name.lastIndexOf('.'));
|
||||
if (!validTypes.includes(ext)) {
|
||||
setUploadError('仅支持 MP4、MOV、AVI 格式');
|
||||
setUploadError('不支持的视频格式');
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -98,16 +163,47 @@ export const useMaterials = ({
|
||||
|
||||
setUploadProgress(100);
|
||||
setIsUploading(false);
|
||||
fetchMaterials();
|
||||
} catch (err: any) {
|
||||
|
||||
// 上传后重新拉列表并自动选中新素材
|
||||
const { data: res } = await api.get<ApiResponse<{ materials: Material[] }>>(
|
||||
`/api/materials?t=${new Date().getTime()}`
|
||||
);
|
||||
const payload = unwrap(res);
|
||||
const nextMaterials = payload.materials || [];
|
||||
setMaterials(nextMaterials);
|
||||
setLastMaterialCount(nextMaterials.length);
|
||||
|
||||
// Probe video durations in background
|
||||
if (nextMaterials.length > 0) {
|
||||
Promise.all(
|
||||
nextMaterials.map(async (m) => {
|
||||
const url = resolveMediaUrl(m.path);
|
||||
if (!url) return m;
|
||||
const dur = await probeVideoDuration(url);
|
||||
return { ...m, duration_sec: dur };
|
||||
})
|
||||
).then((enriched) => setMaterials(enriched));
|
||||
}
|
||||
|
||||
// 找出新增素材并默认仅选中新上传项,避免误触发多素材模式
|
||||
const oldIds = new Set(materials.map((m) => m.id));
|
||||
const newIds = nextMaterials.filter((m) => !oldIds.has(m.id)).map((m) => m.id);
|
||||
if (newIds.length > 0) {
|
||||
setSelectedMaterials([newIds[0]]);
|
||||
} else if (nextMaterials[0]?.id) {
|
||||
// 兜底:即使未识别到新增项,也保持单素材默认选择最新一个
|
||||
setSelectedMaterials([nextMaterials[0].id]);
|
||||
}
|
||||
} catch (err: unknown) {
|
||||
console.error("Upload failed:", err);
|
||||
setIsUploading(false);
|
||||
const errorMsg = err.response?.data?.message || err.message || String(err);
|
||||
const axiosErr = err as { response?: { data?: { message?: string } }; message?: string };
|
||||
const errorMsg = axiosErr.response?.data?.message || axiosErr.message || String(err);
|
||||
setUploadError(`上传失败: ${errorMsg}`);
|
||||
}
|
||||
|
||||
e.target.value = '';
|
||||
}, [fetchMaterials]);
|
||||
}, [materials, setSelectedMaterials]);
|
||||
|
||||
return {
|
||||
materials,
|
||||
@@ -119,6 +215,8 @@ export const useMaterials = ({
|
||||
uploadError,
|
||||
setUploadError,
|
||||
fetchMaterials,
|
||||
toggleMaterial,
|
||||
reorderMaterials,
|
||||
deleteMaterial,
|
||||
handleUpload,
|
||||
};
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
import { useCallback, useEffect, useRef, useState } from "react";
|
||||
import type { BgmItem } from "@/features/home/model/useBgm";
|
||||
import { toast } from "sonner";
|
||||
|
||||
interface RefAudio {
|
||||
id: string;
|
||||
@@ -64,12 +65,12 @@ export const useMediaPlayers = ({
|
||||
|
||||
const audioUrl = resolveMediaUrl(audio.path) || audio.path;
|
||||
if (!audioUrl) {
|
||||
alert("无法播放该参考音频");
|
||||
toast.error("无法播放该参考音频");
|
||||
return;
|
||||
}
|
||||
const player = new Audio(audioUrl);
|
||||
player.onended = () => setPlayingAudioId(null);
|
||||
player.play().catch((err) => alert("播放失败: " + err));
|
||||
player.play().catch((err) => toast.error("播放失败: " + err));
|
||||
audioPlayerRef.current = player;
|
||||
setPlayingAudioId(audio.id);
|
||||
}, [playingAudioId, resolveMediaUrl, stopAudio, stopBgm]);
|
||||
@@ -81,7 +82,7 @@ export const useMediaPlayers = ({
|
||||
|
||||
const bgmUrl = resolveBgmUrl(bgm.id);
|
||||
if (!bgmUrl) {
|
||||
alert("无法播放该背景音乐");
|
||||
toast.error("无法播放该背景音乐");
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -96,7 +97,7 @@ export const useMediaPlayers = ({
|
||||
const player = new Audio(bgmUrl);
|
||||
player.volume = Math.max(0, Math.min(bgmVolume, 1));
|
||||
player.onended = () => setPlayingBgmId(null);
|
||||
player.play().catch((err) => alert("播放失败: " + err));
|
||||
player.play().catch((err) => toast.error("播放失败: " + err));
|
||||
bgmPlayerRef.current = player;
|
||||
setPlayingBgmId(bgm.id);
|
||||
}, [bgmVolume, playingBgmId, resolveBgmUrl, setEnableBgm, setSelectedBgmId, stopAudio, stopBgm]);
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
import { useCallback, useState } from "react";
|
||||
import api from "@/shared/api/axios";
|
||||
import { ApiResponse, unwrap } from "@/shared/api/types";
|
||||
import { toast } from "sonner";
|
||||
|
||||
interface RefAudio {
|
||||
id: string;
|
||||
@@ -12,14 +13,12 @@ interface RefAudio {
|
||||
}
|
||||
|
||||
interface UseRefAudiosOptions {
|
||||
fixedRefText: string;
|
||||
selectedRefAudio: RefAudio | null;
|
||||
setSelectedRefAudio: React.Dispatch<React.SetStateAction<RefAudio | null>>;
|
||||
setRefText: React.Dispatch<React.SetStateAction<string>>;
|
||||
}
|
||||
|
||||
export const useRefAudios = ({
|
||||
fixedRefText,
|
||||
selectedRefAudio,
|
||||
setSelectedRefAudio,
|
||||
setRefText,
|
||||
@@ -27,6 +26,7 @@ export const useRefAudios = ({
|
||||
const [refAudios, setRefAudios] = useState<RefAudio[]>([]);
|
||||
const [isUploadingRef, setIsUploadingRef] = useState(false);
|
||||
const [uploadRefError, setUploadRefError] = useState<string | null>(null);
|
||||
const [retranscribingId, setRetranscribingId] = useState<string | null>(null);
|
||||
|
||||
const fetchRefAudios = useCallback(async () => {
|
||||
try {
|
||||
@@ -41,15 +41,12 @@ export const useRefAudios = ({
|
||||
}, []);
|
||||
|
||||
const uploadRefAudio = useCallback(async (file: File) => {
|
||||
const refTextInput = fixedRefText;
|
||||
|
||||
setIsUploadingRef(true);
|
||||
setUploadRefError(null);
|
||||
|
||||
try {
|
||||
const formData = new FormData();
|
||||
formData.append('file', file);
|
||||
formData.append('ref_text', refTextInput);
|
||||
|
||||
const { data: res } = await api.post<ApiResponse<RefAudio>>('/api/ref-audios', formData, {
|
||||
headers: { 'Content-Type': 'multipart/form-data' },
|
||||
@@ -60,13 +57,14 @@ export const useRefAudios = ({
|
||||
setSelectedRefAudio(payload);
|
||||
setRefText(payload.ref_text);
|
||||
setIsUploadingRef(false);
|
||||
} catch (err: any) {
|
||||
} catch (err: unknown) {
|
||||
console.error("Upload ref audio failed:", err);
|
||||
setIsUploadingRef(false);
|
||||
const errorMsg = err.response?.data?.message || err.message || String(err);
|
||||
const axiosErr = err as { response?: { data?: { message?: string } }; message?: string };
|
||||
const errorMsg = axiosErr.response?.data?.message || axiosErr.message || String(err);
|
||||
setUploadRefError(`上传失败: ${errorMsg}`);
|
||||
}
|
||||
}, [fetchRefAudios, fixedRefText, setRefText, setSelectedRefAudio]);
|
||||
}, [fetchRefAudios, setRefText, setSelectedRefAudio]);
|
||||
|
||||
const deleteRefAudio = useCallback(async (audioId: string) => {
|
||||
if (!confirm("确定要删除这个参考音频吗?")) return;
|
||||
@@ -78,10 +76,32 @@ export const useRefAudios = ({
|
||||
setRefText('');
|
||||
}
|
||||
} catch (error) {
|
||||
alert("删除失败: " + error);
|
||||
toast.error("删除失败: " + error);
|
||||
}
|
||||
}, [fetchRefAudios, selectedRefAudio, setRefText, setSelectedRefAudio]);
|
||||
|
||||
const retranscribeRefAudio = useCallback(async (audioId: string) => {
|
||||
setRetranscribingId(audioId);
|
||||
try {
|
||||
const { data: res } = await api.post<ApiResponse<{ ref_text: string }>>(
|
||||
`/api/ref-audios/${encodeURIComponent(audioId)}/retranscribe`
|
||||
);
|
||||
const payload = unwrap(res);
|
||||
toast.success("识别完成");
|
||||
// 更新列表和当前选中
|
||||
await fetchRefAudios();
|
||||
if (selectedRefAudio?.id === audioId) {
|
||||
setRefText(payload.ref_text);
|
||||
}
|
||||
} catch (err: unknown) {
|
||||
const axiosErr = err as { response?: { data?: { message?: string } }; message?: string };
|
||||
const errorMsg = axiosErr.response?.data?.message || axiosErr.message || String(err);
|
||||
toast.error(`识别失败: ${errorMsg}`);
|
||||
} finally {
|
||||
setRetranscribingId(null);
|
||||
}
|
||||
}, [fetchRefAudios, selectedRefAudio, setRefText]);
|
||||
|
||||
return {
|
||||
refAudios,
|
||||
isUploadingRef,
|
||||
@@ -90,5 +110,7 @@ export const useRefAudios = ({
|
||||
fetchRefAudios,
|
||||
uploadRefAudio,
|
||||
deleteRefAudio,
|
||||
retranscribeRefAudio,
|
||||
retranscribingId,
|
||||
};
|
||||
};
|
||||
|
||||
51
frontend/src/features/home/model/useSavedScripts.ts
Normal file
51
frontend/src/features/home/model/useSavedScripts.ts
Normal file
@@ -0,0 +1,51 @@
|
||||
import { useState, useEffect, useRef } from "react";
|
||||
|
||||
export interface SavedScript {
|
||||
id: string;
|
||||
name: string;
|
||||
content: string;
|
||||
savedAt: number;
|
||||
}
|
||||
|
||||
export function useSavedScripts(storageKey: string) {
|
||||
const lsKey = `vigent_${storageKey}_savedScripts`;
|
||||
const lsKeyRef = useRef(lsKey);
|
||||
lsKeyRef.current = lsKey;
|
||||
|
||||
const [savedScripts, setSavedScripts] = useState<SavedScript[]>([]);
|
||||
|
||||
// Re-read from localStorage whenever lsKey changes (e.g. guest → userId)
|
||||
useEffect(() => {
|
||||
try {
|
||||
const raw = localStorage.getItem(lsKey);
|
||||
setSavedScripts(raw ? JSON.parse(raw) : []);
|
||||
} catch {
|
||||
setSavedScripts([]);
|
||||
}
|
||||
}, [lsKey]);
|
||||
|
||||
const saveScript = (content: string) => {
|
||||
const name = content.slice(0, 15).replace(/\n/g, " ") || "未命名";
|
||||
const entry: SavedScript = {
|
||||
id: Date.now().toString(36) + Math.random().toString(36).slice(2, 6),
|
||||
name,
|
||||
content,
|
||||
savedAt: Date.now(),
|
||||
};
|
||||
setSavedScripts((prev) => {
|
||||
const next = [entry, ...prev];
|
||||
localStorage.setItem(lsKeyRef.current, JSON.stringify(next));
|
||||
return next;
|
||||
});
|
||||
};
|
||||
|
||||
const deleteScript = (id: string) => {
|
||||
setSavedScripts((prev) => {
|
||||
const next = prev.filter((s) => s.id !== id);
|
||||
localStorage.setItem(lsKeyRef.current, JSON.stringify(next));
|
||||
return next;
|
||||
});
|
||||
};
|
||||
|
||||
return { savedScripts, saveScript, deleteScript };
|
||||
}
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user