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172
Docs/BACKEND_README.md
Normal file
172
Docs/BACKEND_README.md
Normal file
@@ -0,0 +1,172 @@
|
||||
# ViGent2 后端开发指南
|
||||
|
||||
本文档为后端开发人员提供架构概览、接口规范以及开发流程指南。
|
||||
|
||||
---
|
||||
|
||||
## 🏗️ 架构概览
|
||||
|
||||
后端采用 **FastAPI** 框架，基于 Python 3.10+ 构建，主要负责业务逻辑处理、AI 任务调度以及与各微服务组件的交互。
|
||||
|
||||
### 目录结构
|
||||
|
||||
```
|
||||
backend/
|
||||
├── app/
|
||||
│ ├── api/ # API 路由定义 (endpoints)
|
||||
│ ├── core/ # 核心配置 (config.py, security.py)
|
||||
│ ├── models/ # Pydantic 数据模型 (schemas)
|
||||
│ ├── services/ # 业务逻辑服务层
|
||||
│ │ ├── auth_service.py # 用户认证服务
|
||||
│ │ ├── glm_service.py # GLM-4 大模型服务
|
||||
│ │ ├── lipsync_service.py # LatentSync 唇形同步
|
||||
│ │ ├── publish_service.py # 社交媒体发布
|
||||
│ │ └── voice_clone_service.py# Qwen3-TTS 声音克隆
|
||||
│ └── 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)
|
||||
└── requirements.txt # 依赖清单
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🔌 API 接口规范
|
||||
|
||||
后端服务默认运行在 `8006` 端口。
|
||||
|
||||
- **文档地址**: `http://localhost:8006/docs` (Swagger UI)
|
||||
- **认证方式**: Bearer Token (JWT)
|
||||
|
||||
### 核心模块
|
||||
|
||||
1. **认证 (Auth)**
|
||||
* `POST /api/auth/login`: 用户登录 (手机号)
|
||||
* `POST /api/auth/register`: 用户注册
|
||||
* `GET /api/auth/me`: 获取当前用户信息
|
||||
|
||||
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/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/upload`: 上传素材 (Direct Upload to Supabase)
|
||||
* `GET /api/materials`: 获取素材列表
|
||||
|
||||
4. **社交发布 (Publish)**
|
||||
* `POST /api/publish`: 发布视频到 B站/抖音/小红书
|
||||
|
||||
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
|
||||
|
||||
---
|
||||
|
||||
## 🎛️ 视频生成扩展参数
|
||||
|
||||
`POST /api/videos/generate` 支持以下可选字段：
|
||||
|
||||
- `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）
|
||||
- `bgm_id`: 背景音乐 ID
|
||||
- `bgm_volume`: 背景音乐音量（0-1，默认 0.2）
|
||||
|
||||
## 📦 资源库与静态资源
|
||||
|
||||
- 本地资源目录：`backend/assets/{fonts,bgm,styles}`
|
||||
- 静态访问路径：`/assets`（用于前端样式预览与背景音乐试听）
|
||||
|
||||
## 🎵 背景音乐混音策略
|
||||
|
||||
- 混音发生在 **唇形对齐之后**，避免影响字幕/口型时间轴。
|
||||
- 使用 FFmpeg `amix`，禁用归一化以保持配音音量稳定。
|
||||
|
||||
## 🛠️ 开发环境搭建
|
||||
|
||||
### 1. 虚拟环境
|
||||
|
||||
```bash
|
||||
cd backend
|
||||
python -m venv venv
|
||||
source venv/bin/activate # Linux/macOS
|
||||
# .\venv\Scripts\activate # Windows
|
||||
```
|
||||
|
||||
### 2. 依赖安装
|
||||
|
||||
```bash
|
||||
pip install -r requirements.txt
|
||||
```
|
||||
|
||||
### 3. 环境变量配置
|
||||
|
||||
复制 `.env.example` 到 `.env` 并配置必要的 Key：
|
||||
|
||||
```ini
|
||||
# Supabase
|
||||
SUPABASE_URL=http://localhost:8008
|
||||
SUPABASE_KEY=your_service_role_key
|
||||
|
||||
# GLM API (用于 AI 标题生成)
|
||||
GLM_API_KEY=your_glm_api_key
|
||||
|
||||
# LatentSync 配置
|
||||
LATENTSYNC_GPU_ID=1
|
||||
```
|
||||
|
||||
### 4. 启动服务
|
||||
|
||||
**开发模式 (热重载)**:
|
||||
```bash
|
||||
uvicorn app.main:app --host 0.0.0.0 --port 8006 --reload
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🧩 服务集成指南
|
||||
|
||||
### 集成新模型
|
||||
|
||||
如果需要集成新的 AI 模型 (例如新的 TTS 引擎)：
|
||||
|
||||
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。
|
||||
|
||||
### 添加定时任务
|
||||
|
||||
目前推荐使用 **APScheduler** 或 **Crontab** 来管理定时任务。
|
||||
社交媒体的定时发布功能目前依赖 `playwright` 的延迟执行，未来计划迁移到 Celery 队列。
|
||||
|
||||
---
|
||||
|
||||
## 🛡️ 错误处理
|
||||
|
||||
全项目统一使用 `Loguru` 进行日志记录。
|
||||
|
||||
```python
|
||||
from loguru import logger
|
||||
|
||||
try:
|
||||
# 业务逻辑
|
||||
except Exception as e:
|
||||
logger.error(f"操作失败: {str(e)}")
|
||||
raise HTTPException(status_code=500, detail="服务器内部错误")
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🧪 测试
|
||||
|
||||
运行测试套件：
|
||||
|
||||
```bash
|
||||
pytest
|
||||
```
|
||||
@@ -98,6 +98,15 @@ playwright install chromium
|
||||
|
||||
---
|
||||
|
||||
### 可选：AI 标题/标签生成
|
||||
|
||||
> ✅ 如需启用“AI 标题/标签生成”功能，请确保后端可访问外网 API。
|
||||
|
||||
- 需要可访问 `https://open.bigmodel.cn`
|
||||
- API Key 配置在 `backend/app/services/glm_service.py`（建议替换为自己的密钥）
|
||||
|
||||
---
|
||||
|
||||
## 步骤 5: 部署用户认证系统 (Supabase + Auth)
|
||||
|
||||
> 🔐 **包含**: 登录/注册、Supabase 数据库配置、JWT 认证、管理员后台
|
||||
@@ -258,7 +267,42 @@ chmod +x run_latentsync.sh
|
||||
pm2 start ./run_latentsync.sh --name vigent2-latentsync
|
||||
```
|
||||
|
||||
### 4. 保存当前列表 (开机自启)
|
||||
### 4. 启动 Qwen3-TTS 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。
|
||||
|
||||
1. 安装 HTTP 服务依赖:
|
||||
```bash
|
||||
conda activate qwen-tts
|
||||
pip install fastapi uvicorn python-multipart
|
||||
```
|
||||
|
||||
2. 启动脚本位于项目根目录: `run_qwen_tts.sh`
|
||||
|
||||
3. 使用 pm2 启动:
|
||||
```bash
|
||||
cd /home/rongye/ProgramFiles/ViGent2
|
||||
pm2 start ./run_qwen_tts.sh --name vigent2-qwen-tts
|
||||
pm2 save
|
||||
```
|
||||
|
||||
4. 验证服务:
|
||||
```bash
|
||||
# 检查健康状态
|
||||
curl http://localhost:8009/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。
|
||||
|
||||
```bash
|
||||
cd /home/rongye/ProgramFiles/ViGent2
|
||||
pm2 start ./run_watchdog.sh --name vigent2-watchdog
|
||||
pm2 save
|
||||
```
|
||||
|
||||
### 6. 保存当前列表 (开机自启)
|
||||
|
||||
```bash
|
||||
pm2 save
|
||||
@@ -271,6 +315,7 @@ 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 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
|
||||
@@ -322,7 +367,46 @@ server {
|
||||
|
||||
---
|
||||
|
||||
## 步骤 12: 配置阿里云 Nginx 网关 (关键)
|
||||
---
|
||||
|
||||
## 步骤 13: 部署可选功能 (字幕与文案助手)
|
||||
|
||||
本节介绍如何部署逐字高亮字幕、片头标题以及文案提取助手功能。
|
||||
|
||||
### 13.1 部署字幕系统 (Subtitle System)
|
||||
|
||||
包含 `faster-whisper` (字幕生成) 和 `Remotion` (视频渲染) 组件。
|
||||
|
||||
详细步骤请参考：**[字幕功能部署指南](SUBTITLE_DEPLOY.md)**
|
||||
|
||||
简要步骤：
|
||||
1. 安装 Python 依赖: `faster-whisper`
|
||||
2. 安装 Node.js 依赖: `npm install` (在 `remotion/` 目录)
|
||||
3. 验证: `npx remotion --version`
|
||||
|
||||
### 13.2 部署文案提取助手 (Copywriting Assistant)
|
||||
|
||||
支持 B站/抖音/TikTok 视频链接提取文案与 AI 洗稿。
|
||||
|
||||
1. **安装核心依赖**:
|
||||
```bash
|
||||
cd /home/rongye/ProgramFiles/ViGent2/backend
|
||||
source venv/bin/activate
|
||||
pip install yt-dlp zai-sdk
|
||||
```
|
||||
|
||||
2. **配置 AI 洗稿 (GLM)**:
|
||||
确保 `.env` 中已配置 `GLM_API_KEY`:
|
||||
```ini
|
||||
GLM_API_KEY=your_zhipu_api_key
|
||||
```
|
||||
|
||||
3. **验证**:
|
||||
访问 `http://localhost:8006/docs`，测试 `/api/tools/extract-script` 接口。
|
||||
|
||||
---
|
||||
|
||||
## 步骤 14: 配置阿里云 Nginx 网关 (关键)
|
||||
|
||||
> ⚠️ **CRITICAL**: 如果使用 `api.hbyrkj.top` 等域名作为入口，必须在阿里云 (或公网入口) 的 Nginx 配置中解除上传限制。
|
||||
> **这是导致 500/413 错误的核心原因。**
|
||||
@@ -370,6 +454,7 @@ 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
|
||||
```
|
||||
|
||||
### 查看日志
|
||||
@@ -379,6 +464,7 @@ sudo lsof -i :8007
|
||||
pm2 logs vigent2-backend
|
||||
pm2 logs vigent2-frontend
|
||||
pm2 logs vigent2-latentsync
|
||||
pm2 logs vigent2-qwen-tts
|
||||
```
|
||||
|
||||
### SSH 连接卡顿 / 系统响应慢
|
||||
@@ -405,6 +491,7 @@ pm2 logs vigent2-latentsync
|
||||
| `fastapi` | Web API 框架 |
|
||||
| `uvicorn` | ASGI 服务器 |
|
||||
| `edge-tts` | 微软 TTS 配音 |
|
||||
| `httpx` | GLM API HTTP 客户端 |
|
||||
| `playwright` | 社交媒体自动发布 |
|
||||
| `biliup` | B站视频上传 |
|
||||
| `loguru` | 日志管理 |
|
||||
|
||||
431
Docs/DevLogs/Day13.md
Normal file
431
Docs/DevLogs/Day13.md
Normal file
@@ -0,0 +1,431 @@
|
||||
# Day 13 - 声音克隆功能集成 + 字幕功能
|
||||
|
||||
**日期**：2026-01-29
|
||||
|
||||
---
|
||||
|
||||
## 🎙️ Qwen3-TTS 服务集成
|
||||
|
||||
### 背景
|
||||
在 Day 12 完成 Qwen3-TTS 模型部署后，今日重点是将其集成到 ViGent2 系统中，提供完整的声音克隆功能。
|
||||
|
||||
### 架构设计
|
||||
|
||||
```
|
||||
┌─────────────────────────────────────────────────────────────┐
|
||||
│ 前端 (Next.js) │
|
||||
│ 参考音频上传 → TTS 模式选择 → 视频生成请求 │
|
||||
└─────────────────────────────────────────────────────────────┘
|
||||
│
|
||||
▼
|
||||
┌─────────────────────────────────────────────────────────────┐
|
||||
│ 后端 (FastAPI :8006) │
|
||||
│ ref-audios API → voice_clone_service → video_service │
|
||||
└─────────────────────────────────────────────────────────────┘
|
||||
│
|
||||
▼
|
||||
┌─────────────────────────────────────────────────────────────┐
|
||||
│ Qwen3-TTS 服务 (FastAPI :8009) │
|
||||
│ HTTP /generate → 返回克隆音频 │
|
||||
└─────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
### Qwen3-TTS HTTP 服务 (`qwen_tts_server.py`)
|
||||
|
||||
创建独立的 FastAPI 服务，运行在 8009 端口：
|
||||
|
||||
```python
|
||||
from fastapi import FastAPI, UploadFile, Form, HTTPException
|
||||
from fastapi.responses import Response
|
||||
import torch
|
||||
import soundfile as sf
|
||||
from qwen_tts import Qwen3TTSModel
|
||||
import io, os
|
||||
|
||||
app = FastAPI(title="Qwen3-TTS Voice Clone Service")
|
||||
|
||||
# GPU 配置
|
||||
GPU_ID = os.getenv("QWEN_TTS_GPU_ID", "0")
|
||||
model = None
|
||||
|
||||
@app.on_event("startup")
|
||||
async def load_model():
|
||||
global model
|
||||
model = Qwen3TTSModel.from_pretrained(
|
||||
"./checkpoints/0.6B-Base",
|
||||
device_map=f"cuda:{GPU_ID}",
|
||||
dtype=torch.bfloat16,
|
||||
)
|
||||
|
||||
@app.get("/health")
|
||||
async def health():
|
||||
return {"service": "Qwen3-TTS", "ready": model is not None, "gpu_id": GPU_ID}
|
||||
|
||||
@app.post("/generate")
|
||||
async def generate(
|
||||
ref_audio: UploadFile,
|
||||
text: str = Form(...),
|
||||
ref_text: str = Form(""),
|
||||
language: str = Form("Chinese"),
|
||||
):
|
||||
# 保存临时参考音频
|
||||
ref_path = f"/tmp/ref_{ref_audio.filename}"
|
||||
with open(ref_path, "wb") as f:
|
||||
f.write(await ref_audio.read())
|
||||
|
||||
# 生成克隆音频
|
||||
wavs, sr = model.generate_voice_clone(
|
||||
text=text,
|
||||
language=language,
|
||||
ref_audio=ref_path,
|
||||
ref_text=ref_text or "一段参考音频。",
|
||||
)
|
||||
|
||||
# 返回 WAV 音频
|
||||
buffer = io.BytesIO()
|
||||
sf.write(buffer, wavs[0], sr, format="WAV")
|
||||
buffer.seek(0)
|
||||
return Response(content=buffer.read(), media_type="audio/wav")
|
||||
```
|
||||
|
||||
### 后端声音克隆服务 (`voice_clone_service.py`)
|
||||
|
||||
通过 HTTP 调用 Qwen3-TTS 服务：
|
||||
|
||||
```python
|
||||
import aiohttp
|
||||
from loguru import logger
|
||||
|
||||
QWEN_TTS_URL = "http://localhost:8009"
|
||||
|
||||
async def generate_cloned_audio(
|
||||
ref_audio_path: str,
|
||||
text: str,
|
||||
output_path: str,
|
||||
ref_text: str = "",
|
||||
) -> str:
|
||||
"""调用 Qwen3-TTS 服务生成克隆音频"""
|
||||
|
||||
async with aiohttp.ClientSession() as session:
|
||||
with open(ref_audio_path, "rb") as f:
|
||||
data = aiohttp.FormData()
|
||||
data.add_field("ref_audio", f, filename="ref.wav")
|
||||
data.add_field("text", text)
|
||||
data.add_field("ref_text", ref_text)
|
||||
|
||||
async with session.post(f"{QWEN_TTS_URL}/generate", data=data) as resp:
|
||||
if resp.status != 200:
|
||||
raise Exception(f"Qwen3-TTS error: {resp.status}")
|
||||
|
||||
audio_data = await resp.read()
|
||||
with open(output_path, "wb") as out:
|
||||
out.write(audio_data)
|
||||
|
||||
return output_path
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 📂 参考音频管理 API
|
||||
|
||||
### 新增 API 端点 (`ref_audios.py`)
|
||||
|
||||
| 端点 | 方法 | 功能 |
|
||||
|------|------|------|
|
||||
| `/api/ref-audios` | GET | 获取参考音频列表 |
|
||||
| `/api/ref-audios` | POST | 上传参考音频 |
|
||||
| `/api/ref-audios/{id}` | DELETE | 删除参考音频 |
|
||||
|
||||
### Supabase Bucket 配置
|
||||
|
||||
为参考音频创建独立存储桶：
|
||||
|
||||
```sql
|
||||
-- 创建 ref-audios bucket
|
||||
INSERT INTO storage.buckets (id, name, public)
|
||||
VALUES ('ref-audios', 'ref-audios', true)
|
||||
ON CONFLICT (id) DO NOTHING;
|
||||
|
||||
-- RLS 策略
|
||||
CREATE POLICY "Allow public uploads" ON storage.objects
|
||||
FOR INSERT TO anon WITH CHECK (bucket_id = 'ref-audios');
|
||||
|
||||
CREATE POLICY "Allow public read" ON storage.objects
|
||||
FOR SELECT TO anon USING (bucket_id = 'ref-audios');
|
||||
|
||||
CREATE POLICY "Allow public delete" ON storage.objects
|
||||
FOR DELETE TO anon USING (bucket_id = 'ref-audios');
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🎨 前端声音克隆 UI
|
||||
|
||||
### TTS 模式选择
|
||||
|
||||
在视频生成页面新增声音克隆选项：
|
||||
|
||||
```tsx
|
||||
{/* TTS 模式选择 */}
|
||||
<div className="flex gap-2 mb-4">
|
||||
<button
|
||||
onClick={() => setTtsMode("edge")}
|
||||
className={`px-4 py-2 rounded-lg ${ttsMode === "edge" ? "bg-purple-600" : "bg-white/10"}`}
|
||||
>
|
||||
🔊 EdgeTTS
|
||||
</button>
|
||||
<button
|
||||
onClick={() => setTtsMode("clone")}
|
||||
className={`px-4 py-2 rounded-lg ${ttsMode === "clone" ? "bg-purple-600" : "bg-white/10"}`}
|
||||
>
|
||||
🎙️ 声音克隆
|
||||
</button>
|
||||
</div>
|
||||
```
|
||||
|
||||
### 参考音频管理
|
||||
|
||||
新增参考音频上传和列表展示功能：
|
||||
|
||||
| 功能 | 实现 |
|
||||
|------|------|
|
||||
| 音频上传 | 拖拽上传 WAV/MP3，直传 Supabase |
|
||||
| 列表展示 | 显示文件名、时长、上传时间 |
|
||||
| 快速选择 | 点击即选中作为参考音频 |
|
||||
| 删除功能 | 删除不需要的参考音频 |
|
||||
|
||||
---
|
||||
|
||||
## ✅ 端到端测试验证
|
||||
|
||||
### 测试流程
|
||||
1. **上传参考音频**: 3 秒参考音频 → Supabase ref-audios bucket
|
||||
2. **选择声音克隆模式**: TTS 模式切换为 "声音克隆"
|
||||
3. **输入文案**: 测试口播文案
|
||||
4. **生成视频**:
|
||||
- TTS 阶段调用 Qwen3-TTS (17.7s)
|
||||
- LipSync 阶段调用 LatentSync (122.8s)
|
||||
5. **播放验证**: 视频声音与参考音色一致
|
||||
|
||||
### 测试结果
|
||||
- ✅ 参考音频上传成功
|
||||
- ✅ Qwen3-TTS 生成克隆音频 (15s 推理，4.6s 音频)
|
||||
- ✅ LatentSync 唇形同步正常
|
||||
- ✅ 总生成时间 143.1s
|
||||
- ✅ 前端视频播放正常
|
||||
|
||||
---
|
||||
|
||||
## 🔧 PM2 服务配置
|
||||
|
||||
### 新增 Qwen3-TTS 服务
|
||||
|
||||
**前置依赖安装**：
|
||||
```bash
|
||||
conda activate qwen-tts
|
||||
pip install fastapi uvicorn python-multipart
|
||||
```
|
||||
|
||||
启动脚本 `run_qwen_tts.sh` (位于项目**根目录**)：
|
||||
```bash
|
||||
#!/bin/bash
|
||||
cd /home/rongye/ProgramFiles/ViGent2/models/Qwen3-TTS
|
||||
/home/rongye/ProgramFiles/miniconda3/envs/qwen-tts/bin/python qwen_tts_server.py
|
||||
```
|
||||
|
||||
PM2 管理命令：
|
||||
```bash
|
||||
# 进入根目录启动
|
||||
cd /home/rongye/ProgramFiles/ViGent2
|
||||
pm2 start ./run_qwen_tts.sh --name vigent2-qwen-tts
|
||||
pm2 save
|
||||
|
||||
# 查看状态
|
||||
pm2 status
|
||||
|
||||
# 查看日志
|
||||
pm2 logs vigent2-qwen-tts --lines 50
|
||||
```
|
||||
|
||||
### 完整服务列表
|
||||
|
||||
| 服务名 | 端口 | 功能 |
|
||||
|--------|------|------|
|
||||
| vigent2-backend | 8006 | FastAPI 后端 |
|
||||
| vigent2-frontend | 3002 | Next.js 前端 |
|
||||
| vigent2-latentsync | 8007 | LatentSync 唇形同步 |
|
||||
| vigent2-qwen-tts | 8009 | Qwen3-TTS 声音克隆 |
|
||||
|
||||
---
|
||||
|
||||
## 📁 今日修改文件清单
|
||||
|
||||
| 文件 | 变更类型 | 说明 |
|
||||
|------|----------|------|
|
||||
| `models/Qwen3-TTS/qwen_tts_server.py` | 新增 | Qwen3-TTS HTTP 推理服务 |
|
||||
| `run_qwen_tts.sh` | 新增 | PM2 启动脚本 (根目录) |
|
||||
| `backend/app/services/voice_clone_service.py` | 新增 | 声音克隆服务 (HTTP 调用) |
|
||||
| `backend/app/api/ref_audios.py` | 新增 | 参考音频管理 API |
|
||||
| `backend/app/main.py` | 修改 | 注册 ref-audios 路由 |
|
||||
| `frontend/src/app/page.tsx` | 修改 | TTS 模式选择 + 参考音频 UI |
|
||||
|
||||
---
|
||||
|
||||
## 🔗 相关文档
|
||||
|
||||
- [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
|
||||
- [DEPLOY_MANUAL.md](../DEPLOY_MANUAL.md) - 完整部署手册
|
||||
|
||||
---
|
||||
|
||||
## 🎬 逐字高亮字幕 + 片头标题功能
|
||||
|
||||
### 背景
|
||||
|
||||
为提升视频质量，新增逐字高亮字幕（卡拉OK效果）和片头标题功能。
|
||||
|
||||
### 技术方案
|
||||
|
||||
| 组件 | 技术 | 说明 |
|
||||
|------|------|------|
|
||||
| 字幕对齐 | **faster-whisper** | 生成字级别时间戳 |
|
||||
| 视频渲染 | **Remotion** | React 视频合成框架 |
|
||||
|
||||
### 架构设计
|
||||
|
||||
```
|
||||
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
|
||||
```
|
||||
|
||||
### 后端新增服务
|
||||
|
||||
#### 1. 字幕服务 (`whisper_service.py`)
|
||||
|
||||
基于 faster-whisper 生成字级别时间戳：
|
||||
|
||||
```python
|
||||
from faster_whisper import WhisperModel
|
||||
|
||||
class WhisperService:
|
||||
def __init__(self, model_size="large-v3", device="cuda"):
|
||||
self.model = WhisperModel(model_size, device=device)
|
||||
|
||||
async def align(self, audio_path: str, text: str, output_path: str):
|
||||
segments, info = self.model.transcribe(audio_path, word_timestamps=True)
|
||||
# 将词拆分成单字，时间戳线性插值
|
||||
result = {"segments": [...]}
|
||||
# 保存到 JSON
|
||||
```
|
||||
|
||||
**字幕拆字算法**：faster-whisper 对中文返回词级别，系统自动拆分成单字并线性插值：
|
||||
|
||||
```python
|
||||
# 输入: {"word": "大家好", "start": 0.0, "end": 0.9}
|
||||
# 输出:
|
||||
[
|
||||
{"word": "大", "start": 0.0, "end": 0.3},
|
||||
{"word": "家", "start": 0.3, "end": 0.6},
|
||||
{"word": "好", "start": 0.6, "end": 0.9}
|
||||
]
|
||||
```
|
||||
|
||||
#### 2. Remotion 渲染服务 (`remotion_service.py`)
|
||||
|
||||
调用 Remotion 渲染字幕和标题：
|
||||
|
||||
```python
|
||||
class RemotionService:
|
||||
async def render(self, video_path, output_path, captions_path, title, ...):
|
||||
cmd = f"npx ts-node render.ts --video {video_path} --output {output_path} ..."
|
||||
# 执行渲染
|
||||
```
|
||||
|
||||
### Remotion 项目结构
|
||||
|
||||
```
|
||||
remotion/
|
||||
├── package.json # Node.js 依赖
|
||||
├── render.ts # 服务端渲染脚本
|
||||
└── src/
|
||||
├── Video.tsx # 主视频组件
|
||||
├── components/
|
||||
│ ├── Title.tsx # 片头标题（淡入淡出）
|
||||
│ ├── Subtitles.tsx # 逐字高亮字幕
|
||||
│ └── VideoLayer.tsx # 视频图层
|
||||
└── utils/
|
||||
└── captions.ts # 字幕数据类型
|
||||
```
|
||||
|
||||
### 前端 UI
|
||||
|
||||
新增标题和字幕设置区块：
|
||||
|
||||
| 功能 | 说明 |
|
||||
|------|------|
|
||||
| 片头标题输入 | 可选，在视频开头显示 3 秒 |
|
||||
| 字幕开关 | 默认开启，可关闭 |
|
||||
|
||||
### 遇到的问题与修复
|
||||
|
||||
#### 问题 1: `fs` 模块错误
|
||||
|
||||
**现象**：Remotion 打包失败，提示 `fs.js doesn't exist`
|
||||
|
||||
**原因**：`captions.ts` 中有 `loadCaptions` 函数使用了 Node.js 的 `fs` 模块
|
||||
|
||||
**修复**：删除未使用的 `loadCaptions` 函数
|
||||
|
||||
#### 问题 2: 视频文件读取失败
|
||||
|
||||
**现象**：`file://` 协议无法读取本地视频
|
||||
|
||||
**修复**：
|
||||
1. `render.ts` 使用 `publicDir` 指向视频目录
|
||||
2. `VideoLayer.tsx` 使用 `staticFile()` 加载视频
|
||||
|
||||
```typescript
|
||||
// render.ts
|
||||
const publicDir = path.dirname(path.resolve(options.videoPath));
|
||||
const bundleLocation = await bundle({
|
||||
entryPoint: path.resolve(__dirname, './src/index.ts'),
|
||||
publicDir, // 关键配置
|
||||
});
|
||||
|
||||
// VideoLayer.tsx
|
||||
const videoUrl = staticFile(videoSrc);
|
||||
```
|
||||
|
||||
### 测试结果
|
||||
|
||||
- ✅ faster-whisper 字幕对齐成功（~1秒）
|
||||
- ✅ Remotion 渲染成功（~10秒）
|
||||
- ✅ 字幕逐字高亮效果正常
|
||||
- ✅ 片头标题淡入淡出正常
|
||||
- ✅ 降级机制正常（Remotion 失败时回退到 FFmpeg）
|
||||
|
||||
---
|
||||
|
||||
## 📁 今日修改文件清单（完整）
|
||||
|
||||
| 文件 | 变更类型 | 说明 |
|
||||
|------|----------|------|
|
||||
| `models/Qwen3-TTS/qwen_tts_server.py` | 新增 | Qwen3-TTS HTTP 推理服务 |
|
||||
| `run_qwen_tts.sh` | 新增 | PM2 启动脚本 (根目录) |
|
||||
| `backend/app/services/voice_clone_service.py` | 新增 | 声音克隆服务 (HTTP 调用) |
|
||||
| `backend/app/services/whisper_service.py` | 新增 | 字幕对齐服务 (faster-whisper) |
|
||||
| `backend/app/services/remotion_service.py` | 新增 | Remotion 渲染服务 |
|
||||
| `backend/app/api/ref_audios.py` | 新增 | 参考音频管理 API |
|
||||
| `backend/app/api/videos.py` | 修改 | 集成字幕和标题功能 |
|
||||
| `backend/app/main.py` | 修改 | 注册 ref-audios 路由 |
|
||||
| `backend/requirements.txt` | 修改 | 添加 faster-whisper 依赖 |
|
||||
| `remotion/` | 新增 | Remotion 视频渲染项目 |
|
||||
| `frontend/src/app/page.tsx` | 修改 | TTS 模式选择 + 标题字幕 UI |
|
||||
| `Docs/SUBTITLE_DEPLOY.md` | 新增 | 字幕功能部署文档 |
|
||||
402
Docs/DevLogs/Day14.md
Normal file
402
Docs/DevLogs/Day14.md
Normal file
@@ -0,0 +1,402 @@
|
||||
# Day 14 - 模型升级 + 标题标签生成 + 前端修复
|
||||
|
||||
**日期**：2026-01-30
|
||||
|
||||
---
|
||||
|
||||
## 🚀 Qwen3-TTS 模型升级 (0.6B → 1.7B)
|
||||
|
||||
### 背景
|
||||
|
||||
为提升声音克隆质量，将 Qwen3-TTS 模型从 0.6B-Base 升级到 1.7B-Base。
|
||||
|
||||
### 变更内容
|
||||
|
||||
| 项目 | 升级前 | 升级后 |
|
||||
|------|--------|--------|
|
||||
| 模型 | 0.6B-Base | **1.7B-Base** |
|
||||
| 大小 | 2.4GB | 6.8GB |
|
||||
| 质量 | 基础 | 更高质量 |
|
||||
|
||||
### 代码修改
|
||||
|
||||
**文件**: `models/Qwen3-TTS/qwen_tts_server.py`
|
||||
|
||||
```python
|
||||
# 升级前
|
||||
MODEL_PATH = Path(__file__).parent / "checkpoints" / "0.6B-Base"
|
||||
|
||||
# 升级后
|
||||
MODEL_PATH = Path(__file__).parent / "checkpoints" / "1.7B-Base"
|
||||
```
|
||||
|
||||
### 模型下载
|
||||
|
||||
```bash
|
||||
cd /home/rongye/ProgramFiles/ViGent2/models/Qwen3-TTS
|
||||
|
||||
# 下载 1.7B-Base 模型 (6.8GB)
|
||||
modelscope download --model Qwen/Qwen3-TTS-12Hz-1.7B-Base --local_dir ./checkpoints/1.7B-Base
|
||||
```
|
||||
|
||||
### 结果
|
||||
|
||||
- ✅ 模型加载正常 (GPU0, bfloat16)
|
||||
- ✅ 声音克隆质量提升
|
||||
- ✅ 推理速度可接受
|
||||
|
||||
---
|
||||
|
||||
## 🎨 标题和字幕显示优化
|
||||
|
||||
### 字幕组件优化 (`Subtitles.tsx`)
|
||||
|
||||
**文件**: `remotion/src/components/Subtitles.tsx`
|
||||
|
||||
优化内容：
|
||||
- 调整高亮颜色配置
|
||||
- 优化文字描边效果（多层阴影）
|
||||
- 调整字间距和行高
|
||||
|
||||
```typescript
|
||||
export const Subtitles: React.FC<SubtitlesProps> = ({
|
||||
captions,
|
||||
highlightColor = '#FFFF00', // 高亮颜色
|
||||
normalColor = '#FFFFFF', // 普通文字颜色
|
||||
fontSize = 52,
|
||||
}) => {
|
||||
// 样式优化
|
||||
const style = {
|
||||
textShadow: `
|
||||
2px 2px 4px rgba(0,0,0,0.8),
|
||||
-2px -2px 4px rgba(0,0,0,0.8),
|
||||
...
|
||||
`,
|
||||
letterSpacing: '2px',
|
||||
lineHeight: 1.4,
|
||||
maxWidth: '90%',
|
||||
};
|
||||
};
|
||||
```
|
||||
|
||||
### 标题组件优化 (`Title.tsx`)
|
||||
|
||||
**文件**: `remotion/src/components/Title.tsx`
|
||||
|
||||
优化内容：
|
||||
- 淡入淡出动画效果
|
||||
- 下滑入场动画
|
||||
- 可配置显示时长
|
||||
|
||||
```typescript
|
||||
interface TitleProps {
|
||||
title: string;
|
||||
duration?: number; // 标题显示时长（秒，默认3秒）
|
||||
fadeOutStart?: number; // 开始淡出的时间（秒，默认2秒）
|
||||
}
|
||||
|
||||
// 动画效果
|
||||
// 淡入：0-0.5 秒
|
||||
// 淡出：2-3 秒
|
||||
// 下滑：0-0.5 秒，-20px → 0px
|
||||
```
|
||||
|
||||
### 结果
|
||||
|
||||
- ✅ 字幕显示更清晰
|
||||
- ✅ 标题动画更流畅
|
||||
|
||||
---
|
||||
|
||||
## 🤖 标题标签自动生成功能
|
||||
|
||||
### 功能描述
|
||||
|
||||
使用 AI（智谱 GLM-4-Flash）根据口播文案自动生成视频标题和标签。
|
||||
|
||||
### 后端实现
|
||||
|
||||
#### 1. GLM 服务 (`glm_service.py`)
|
||||
|
||||
**文件**: `backend/app/services/glm_service.py`
|
||||
|
||||
```python
|
||||
class GLMService:
|
||||
"""智谱 GLM AI 服务"""
|
||||
|
||||
async def generate_meta(self, text: str) -> dict:
|
||||
"""根据文案生成标题和标签"""
|
||||
|
||||
prompt = """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。
|
||||
|
||||
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
|
||||
|
||||
返回格式：{"title": "标题", "tags": ["标签1", "标签2", "标签3"]}
|
||||
"""
|
||||
# 调用 GLM-4-Flash API
|
||||
response = await self._call_api(prompt + text)
|
||||
return self._parse_json(response)
|
||||
```
|
||||
|
||||
**JSON 解析容错**：
|
||||
- 支持直接 JSON 解析
|
||||
- 支持提取 JSON 块
|
||||
- 支持 ```json 代码块提取
|
||||
|
||||
#### 2. API 端点 (`ai.py`)
|
||||
|
||||
**文件**: `backend/app/api/ai.py`
|
||||
|
||||
```python
|
||||
from pydantic import BaseModel
|
||||
|
||||
class GenerateMetaRequest(BaseModel):
|
||||
text: str # 口播文案
|
||||
|
||||
class GenerateMetaResponse(BaseModel):
|
||||
title: str # 生成的标题
|
||||
tags: list[str] # 生成的标签列表
|
||||
|
||||
@router.post("/generate-meta", response_model=GenerateMetaResponse)
|
||||
async def generate_meta(request: GenerateMetaRequest):
|
||||
"""AI 生成标题和标签"""
|
||||
result = await glm_service.generate_meta(request.text)
|
||||
return result
|
||||
```
|
||||
|
||||
### 前端实现
|
||||
|
||||
**文件**: `frontend/src/app/page.tsx`
|
||||
|
||||
#### UI 按钮
|
||||
|
||||
```tsx
|
||||
<button
|
||||
onClick={handleGenerateMeta}
|
||||
disabled={isGeneratingMeta || !text.trim()}
|
||||
className="px-2 py-1 text-xs rounded transition-all whitespace-nowrap"
|
||||
>
|
||||
{isGeneratingMeta ? "⏳ 生成中..." : "🤖 AI生成标题标签"}
|
||||
</button>
|
||||
```
|
||||
|
||||
#### 处理逻辑
|
||||
|
||||
```typescript
|
||||
const handleGenerateMeta = async () => {
|
||||
if (!text.trim()) {
|
||||
alert("请先输入口播文案");
|
||||
return;
|
||||
}
|
||||
|
||||
setIsGeneratingMeta(true);
|
||||
try {
|
||||
const { data } = await api.post('/api/ai/generate-meta', { text: text.trim() });
|
||||
|
||||
// 更新首页标题
|
||||
setVideoTitle(data.title || "");
|
||||
|
||||
// 同步到发布页 localStorage
|
||||
localStorage.setItem(`vigent_${storageKey}_publish_title`, data.title || "");
|
||||
localStorage.setItem(`vigent_${storageKey}_publish_tags`, JSON.stringify(data.tags || []));
|
||||
} catch (err: any) {
|
||||
alert(`AI 生成失败: ${err.message}`);
|
||||
} finally {
|
||||
setIsGeneratingMeta(false);
|
||||
}
|
||||
};
|
||||
```
|
||||
|
||||
### 发布页集成
|
||||
|
||||
**文件**: `frontend/src/app/publish/page.tsx`
|
||||
|
||||
从 localStorage 恢复 AI 生成的标题和标签：
|
||||
|
||||
```typescript
|
||||
// 恢复标题和标签
|
||||
const savedTitle = localStorage.getItem(`vigent_${storageKey}_publish_title`);
|
||||
const savedTags = localStorage.getItem(`vigent_${storageKey}_publish_tags`);
|
||||
|
||||
if (savedTags) {
|
||||
try {
|
||||
const parsed = JSON.parse(savedTags);
|
||||
if (Array.isArray(parsed)) {
|
||||
setTags(parsed.join(', ')); // 数组转逗号分隔字符串
|
||||
} else {
|
||||
setTags(savedTags);
|
||||
}
|
||||
} catch {
|
||||
setTags(savedTags);
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### 结果
|
||||
|
||||
- ✅ AI 生成标题和标签功能正常
|
||||
- ✅ 数据自动同步到发布页
|
||||
- ✅ 支持 JSON 数组和字符串格式兼容
|
||||
|
||||
---
|
||||
|
||||
## 🐛 前端文本保存问题修复
|
||||
|
||||
### 问题描述
|
||||
|
||||
**现象**：页面刷新后，用户输入的文案、标题等数据丢失
|
||||
|
||||
**原因**：
|
||||
1. 认证状态恢复失败时，`userId` 为 `null`
|
||||
2. 原代码判断 `!userId` 后用默认值覆盖 localStorage 数据
|
||||
3. 导致已保存的用户数据被清空
|
||||
|
||||
### 解决方案
|
||||
|
||||
**文件**: `frontend/src/app/page.tsx`
|
||||
|
||||
#### 1. 添加恢复完成标志
|
||||
|
||||
```typescript
|
||||
const [isRestored, setIsRestored] = useState(false);
|
||||
```
|
||||
|
||||
#### 2. 等待认证完成后恢复数据
|
||||
|
||||
```typescript
|
||||
useEffect(() => {
|
||||
if (isAuthLoading) return; // 等待认证完成
|
||||
|
||||
// 使用 userId 或 'guest' 作为 key
|
||||
const key = userId || 'guest';
|
||||
|
||||
// 从 localStorage 恢复数据
|
||||
const savedText = localStorage.getItem(`vigent_${key}_text`);
|
||||
if (savedText) setText(savedText);
|
||||
|
||||
// ... 恢复其他数据
|
||||
|
||||
setIsRestored(true); // 标记恢复完成
|
||||
}, [userId, isAuthLoading]);
|
||||
```
|
||||
|
||||
#### 3. 恢复完成后才保存
|
||||
|
||||
```typescript
|
||||
useEffect(() => {
|
||||
if (isRestored) {
|
||||
localStorage.setItem(`vigent_${storageKey}_text`, text);
|
||||
}
|
||||
}, [text, storageKey, isRestored]);
|
||||
```
|
||||
|
||||
### 用户隔离机制
|
||||
|
||||
```typescript
|
||||
const storageKey = userId || 'guest';
|
||||
```
|
||||
|
||||
| 用户状态 | storageKey | 说明 |
|
||||
|----------|------------|------|
|
||||
| 已登录 | `user_xxx` | 数据按用户隔离 |
|
||||
| 未登录/认证失败 | `guest` | 使用统一 key |
|
||||
|
||||
### 数据恢复流程
|
||||
|
||||
```
|
||||
1. 页面加载
|
||||
↓
|
||||
2. 检查 isAuthLoading
|
||||
├─ true: 等待认证完成
|
||||
└─ false: 继续
|
||||
↓
|
||||
3. 确定 storageKey (userId || 'guest')
|
||||
↓
|
||||
4. 从 localStorage 读取数据
|
||||
├─ 有保存数据: 恢复到状态
|
||||
└─ 无保存数据: 使用默认值
|
||||
↓
|
||||
5. 设置 isRestored = true
|
||||
↓
|
||||
6. 后续状态变化时保存到 localStorage
|
||||
```
|
||||
|
||||
### 保存的数据项
|
||||
|
||||
| Key | 说明 |
|
||||
|-----|------|
|
||||
| `vigent_${key}_text` | 口播文案 |
|
||||
| `vigent_${key}_title` | 视频标题 |
|
||||
| `vigent_${key}_subtitles` | 字幕开关 |
|
||||
| `vigent_${key}_ttsMode` | TTS 模式 |
|
||||
| `vigent_${key}_voice` | 选择的音色 |
|
||||
| `vigent_${key}_material` | 选择的素材 |
|
||||
| `vigent_${key}_publish_title` | 发布标题 |
|
||||
| `vigent_${key}_publish_tags` | 发布标签 |
|
||||
|
||||
### 结果
|
||||
|
||||
- ✅ 页面刷新后数据正常恢复
|
||||
- ✅ 认证失败时不会覆盖已保存数据
|
||||
- ✅ 多用户数据隔离正常
|
||||
|
||||
---
|
||||
|
||||
## 🐛 登录页刷新循环修复
|
||||
|
||||
### 问题描述
|
||||
|
||||
**现象**：登录页未登录时不断刷新，无法停留在表单页面。
|
||||
|
||||
**原因**：
|
||||
1. `AuthProvider` 初始化时调用 `/api/auth/me`
|
||||
2. 未登录返回 401
|
||||
3. `axios` 全局拦截器遇到 401/403 重定向 `/login`
|
||||
4. 登录页本身也在 Provider 中，导致循环刷新
|
||||
|
||||
### 解决方案
|
||||
|
||||
**文件**: `frontend/src/lib/axios.ts`
|
||||
|
||||
在拦截器中对公开路由跳过重定向，仅在受保护页面触发登录跳转：
|
||||
|
||||
```typescript
|
||||
const PUBLIC_PATHS = new Set(['/login', '/register']);
|
||||
const isPublicPath = typeof window !== 'undefined' && PUBLIC_PATHS.has(window.location.pathname);
|
||||
|
||||
if ((status === 401 || status === 403) && !isRedirecting && !isPublicPath) {
|
||||
// ... 保持原有重定向逻辑
|
||||
}
|
||||
```
|
||||
|
||||
### 结果
|
||||
|
||||
- ✅ 登录页不再刷新，表单可正常输入
|
||||
- ✅ 受保护页面仍会在 401/403 时跳转登录页
|
||||
|
||||
---
|
||||
|
||||
## 📁 今日修改文件清单
|
||||
|
||||
| 文件 | 变更类型 | 说明 |
|
||||
|------|----------|------|
|
||||
| `models/Qwen3-TTS/qwen_tts_server.py` | 修改 | 模型路径升级到 1.7B-Base |
|
||||
| `Docs/QWEN3_TTS_DEPLOY.md` | 修改 | 更新部署文档为 1.7B 版本 |
|
||||
| `remotion/src/components/Subtitles.tsx` | 修改 | 优化字幕显示效果 |
|
||||
| `remotion/src/components/Title.tsx` | 修改 | 优化标题动画效果 |
|
||||
| `backend/app/services/glm_service.py` | 新增 | GLM AI 服务 |
|
||||
| `backend/app/api/ai.py` | 新增 | AI 生成标题标签 API |
|
||||
| `backend/app/main.py` | 修改 | 注册 ai 路由 |
|
||||
| `frontend/src/app/page.tsx` | 修改 | AI 生成按钮 + localStorage 修复 |
|
||||
| `frontend/src/app/publish/page.tsx` | 修改 | 恢复 AI 生成的标签 |
|
||||
| `frontend/src/lib/axios.ts` | 修改 | 公开路由跳过 401/403 登录重定向 |
|
||||
|
||||
---
|
||||
|
||||
## 🔗 相关文档
|
||||
|
||||
- [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
|
||||
410
Docs/DevLogs/Day15.md
Normal file
410
Docs/DevLogs/Day15.md
Normal file
@@ -0,0 +1,410 @@
|
||||
# Day 15 - 手机号登录迁移 + 账户设置功能
|
||||
|
||||
**日期**：2026-02-02
|
||||
|
||||
---
|
||||
|
||||
## 🔐 认证系统迁移：邮箱 → 手机号
|
||||
|
||||
### 背景
|
||||
|
||||
根据业务需求，将用户认证从邮箱登录迁移到手机号登录（11位中国手机号）。
|
||||
|
||||
### 变更范围
|
||||
|
||||
| 组件 | 变更内容 |
|
||||
|------|----------|
|
||||
| 数据库 Schema | `email` 字段替换为 `phone` |
|
||||
| 后端 API | 注册/登录/获取用户信息接口使用 `phone` |
|
||||
| 前端页面 | 登录/注册页面改为手机号输入框 |
|
||||
| 管理员配置 | `ADMIN_EMAIL` 改为 `ADMIN_PHONE` |
|
||||
|
||||
---
|
||||
|
||||
## 📦 后端修改
|
||||
|
||||
### 1. 数据库 Schema (`schema.sql`)
|
||||
|
||||
**文件**: `backend/database/schema.sql`
|
||||
|
||||
```sql
|
||||
CREATE TABLE users (
|
||||
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
|
||||
phone TEXT UNIQUE NOT NULL, -- 原 email 改为 phone
|
||||
password_hash TEXT NOT NULL,
|
||||
username TEXT,
|
||||
role TEXT DEFAULT 'pending' CHECK (role IN ('pending', 'user', 'admin')),
|
||||
is_active BOOLEAN DEFAULT FALSE,
|
||||
expires_at TIMESTAMP WITH TIME ZONE,
|
||||
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
|
||||
updated_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
|
||||
);
|
||||
|
||||
CREATE INDEX idx_users_phone ON users(phone);
|
||||
```
|
||||
|
||||
### 2. 认证 API (`auth.py`)
|
||||
|
||||
**文件**: `backend/app/api/auth.py`
|
||||
|
||||
#### 请求模型更新
|
||||
|
||||
```python
|
||||
class RegisterRequest(BaseModel):
|
||||
phone: str
|
||||
password: str
|
||||
username: Optional[str] = None
|
||||
|
||||
@field_validator('phone')
|
||||
@classmethod
|
||||
def validate_phone(cls, v):
|
||||
if not re.match(r'^\d{11}$', v):
|
||||
raise ValueError('手机号必须是11位数字')
|
||||
return v
|
||||
```
|
||||
|
||||
#### 新增修改密码接口
|
||||
|
||||
```python
|
||||
class ChangePasswordRequest(BaseModel):
|
||||
old_password: str
|
||||
new_password: str
|
||||
|
||||
@field_validator('new_password')
|
||||
@classmethod
|
||||
def validate_new_password(cls, v):
|
||||
if len(v) < 6:
|
||||
raise ValueError('新密码长度至少6位')
|
||||
return v
|
||||
|
||||
@router.post("/change-password")
|
||||
async def change_password(request: ChangePasswordRequest, req: Request, response: Response):
|
||||
"""修改密码，验证当前密码后更新"""
|
||||
# 1. 验证当前密码
|
||||
# 2. 更新密码 hash
|
||||
# 3. 重新生成 session token
|
||||
# 4. 返回新的 JWT Cookie
|
||||
```
|
||||
|
||||
### 3. 配置更新
|
||||
|
||||
**文件**: `backend/app/core/config.py`
|
||||
|
||||
```python
|
||||
# 管理员配置
|
||||
ADMIN_PHONE: str = "" # 原 ADMIN_EMAIL
|
||||
ADMIN_PASSWORD: str = ""
|
||||
```
|
||||
|
||||
**文件**: `backend/.env`
|
||||
|
||||
```bash
|
||||
ADMIN_PHONE=15549380526
|
||||
ADMIN_PASSWORD=lam1988324
|
||||
```
|
||||
|
||||
### 4. 管理员初始化 (`main.py`)
|
||||
|
||||
**文件**: `backend/app/main.py`
|
||||
|
||||
```python
|
||||
@app.on_event("startup")
|
||||
async def init_admin():
|
||||
admin_phone = settings.ADMIN_PHONE # 原 ADMIN_EMAIL
|
||||
# ... 使用 phone 字段创建管理员
|
||||
```
|
||||
|
||||
### 5. 管理员 API (`admin.py`)
|
||||
|
||||
**文件**: `backend/app/api/admin.py`
|
||||
|
||||
```python
|
||||
class UserListItem(BaseModel):
|
||||
id: str
|
||||
phone: str # 原 email
|
||||
username: Optional[str]
|
||||
role: str
|
||||
is_active: bool
|
||||
expires_at: Optional[str]
|
||||
created_at: str
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🖥️ 前端修改
|
||||
|
||||
### 1. 登录页面 (`login/page.tsx`)
|
||||
|
||||
**文件**: `frontend/src/app/login/page.tsx`
|
||||
|
||||
```tsx
|
||||
const [phone, setPhone] = useState('');
|
||||
|
||||
// 验证手机号格式
|
||||
if (!/^\d{11}$/.test(phone)) {
|
||||
setError('请输入正确的11位手机号');
|
||||
return;
|
||||
}
|
||||
|
||||
<input
|
||||
type="tel"
|
||||
value={phone}
|
||||
onChange={(e) => setPhone(e.target.value.replace(/\D/g, '').slice(0, 11))}
|
||||
maxLength={11}
|
||||
placeholder="请输入11位手机号"
|
||||
/>
|
||||
```
|
||||
|
||||
### 2. 注册页面 (`register/page.tsx`)
|
||||
|
||||
同样使用手机号输入，增加 11 位数字验证。
|
||||
|
||||
### 3. Auth 工具函数 (`auth.ts`)
|
||||
|
||||
**文件**: `frontend/src/lib/auth.ts`
|
||||
|
||||
```typescript
|
||||
export interface User {
|
||||
id: string;
|
||||
phone: string; // 原 email
|
||||
username: string | null;
|
||||
role: string;
|
||||
is_active: boolean;
|
||||
}
|
||||
|
||||
export async function login(phone: string, password: string): Promise<AuthResponse> { ... }
|
||||
export async function register(phone: string, password: string, username?: string): Promise<AuthResponse> { ... }
|
||||
export async function changePassword(oldPassword: string, newPassword: string): Promise<AuthResponse> { ... }
|
||||
```
|
||||
|
||||
### 4. 首页账户设置下拉菜单 (`page.tsx`)
|
||||
|
||||
**文件**: `frontend/src/app/page.tsx`
|
||||
|
||||
将原来的"退出"按钮改为账户设置下拉菜单：
|
||||
|
||||
```tsx
|
||||
function AccountSettingsDropdown() {
|
||||
const [isOpen, setIsOpen] = useState(false);
|
||||
const [showPasswordModal, setShowPasswordModal] = useState(false);
|
||||
// ...
|
||||
|
||||
return (
|
||||
<div className="relative">
|
||||
<button onClick={() => setIsOpen(!isOpen)}>
|
||||
⚙️ 账户
|
||||
</button>
|
||||
|
||||
{/* 下拉菜单 */}
|
||||
{isOpen && (
|
||||
<div className="absolute right-0 mt-2 w-40 bg-gray-800 ...">
|
||||
<button onClick={() => setShowPasswordModal(true)}>
|
||||
🔐 修改密码
|
||||
</button>
|
||||
<button onClick={handleLogout} className="text-red-300">
|
||||
🚪 退出登录
|
||||
</button>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* 修改密码弹窗 */}
|
||||
{showPasswordModal && (
|
||||
<div className="fixed inset-0 z-50 ...">
|
||||
<form onSubmit={handleChangePassword}>
|
||||
<input placeholder="当前密码" />
|
||||
<input placeholder="新密码" />
|
||||
<input placeholder="确认新密码" />
|
||||
</form>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
```
|
||||
|
||||
### 5. 管理员页面 (`admin/page.tsx`)
|
||||
|
||||
**文件**: `frontend/src/app/admin/page.tsx`
|
||||
|
||||
```tsx
|
||||
interface UserListItem {
|
||||
id: string;
|
||||
phone: string; // 原 email
|
||||
// ...
|
||||
}
|
||||
|
||||
// 显示手机号而非邮箱
|
||||
<div className="text-gray-400 text-sm">{user.phone}</div>
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🗄️ 数据库迁移
|
||||
|
||||
### 迁移脚本
|
||||
|
||||
**文件**: `backend/database/migrate_to_phone.sql`
|
||||
|
||||
```sql
|
||||
-- 删除旧表 (CASCADE 处理外键依赖)
|
||||
DROP TABLE IF EXISTS user_sessions CASCADE;
|
||||
DROP TABLE IF EXISTS social_accounts CASCADE;
|
||||
DROP TABLE IF EXISTS users CASCADE;
|
||||
|
||||
-- 重新创建使用 phone 字段的表
|
||||
CREATE TABLE users (
|
||||
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
|
||||
phone TEXT UNIQUE NOT NULL,
|
||||
-- ...
|
||||
);
|
||||
|
||||
-- 重新创建依赖表和索引
|
||||
CREATE TABLE user_sessions (...);
|
||||
CREATE TABLE social_accounts (...);
|
||||
CREATE INDEX idx_users_phone ON users(phone);
|
||||
```
|
||||
|
||||
### 执行方式
|
||||
|
||||
```bash
|
||||
# 方式一：Docker 命令
|
||||
docker exec -i supabase-db psql -U postgres < backend/database/migrate_to_phone.sql
|
||||
|
||||
# 方式二：Supabase Studio SQL Editor
|
||||
# 打开 https://supabase.hbyrkj.top -> SQL Editor -> 粘贴执行
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## ✅ 部署步骤
|
||||
|
||||
```bash
|
||||
# 1. 执行数据库迁移
|
||||
docker exec -i supabase-db psql -U postgres < backend/database/migrate_to_phone.sql
|
||||
|
||||
# 2. 重新构建前端
|
||||
cd frontend && npm run build
|
||||
|
||||
# 3. 重启服务
|
||||
pm2 restart vigent2-backend vigent2-frontend
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 📁 今日修改文件清单
|
||||
|
||||
| 文件 | 变更类型 | 说明 |
|
||||
|------|----------|------|
|
||||
| `backend/database/schema.sql` | 修改 | email → phone |
|
||||
| `backend/database/migrate_to_phone.sql` | 新增 | 数据库迁移脚本 |
|
||||
| `backend/app/api/auth.py` | 修改 | 手机号验证 + 修改密码 API |
|
||||
| `backend/app/api/admin.py` | 修改 | UserListItem.email → phone |
|
||||
| `backend/app/core/config.py` | 修改 | ADMIN_EMAIL → ADMIN_PHONE |
|
||||
| `backend/app/main.py` | 修改 | 管理员初始化使用 phone |
|
||||
| `backend/.env` | 修改 | ADMIN_PHONE=15549380526 |
|
||||
| `frontend/src/app/login/page.tsx` | 修改 | 手机号登录 + 11位验证 |
|
||||
| `frontend/src/app/register/page.tsx` | 修改 | 手机号注册 + 11位验证 |
|
||||
| `frontend/src/lib/auth.ts` | 修改 | phone 参数 + changePassword 函数 |
|
||||
| `frontend/src/app/page.tsx` | 修改 | AccountSettingsDropdown 组件 |
|
||||
| `frontend/src/app/admin/page.tsx` | 修改 | 用户列表显示手机号 |
|
||||
| `frontend/src/contexts/AuthContext.tsx` | 修改 | 存储完整用户信息含 expires_at |
|
||||
|
||||
---
|
||||
|
||||
## 🆕 后续完善 (Day 15 下午)
|
||||
|
||||
### 账户有效期显示
|
||||
|
||||
在账户下拉菜单中显示用户的有效期：
|
||||
|
||||
| 显示情况 | 格式 |
|
||||
|----------|------|
|
||||
| 有设置 expires_at | `2026-03-15` |
|
||||
| NULL | `永久有效` |
|
||||
|
||||
**相关修改**：
|
||||
- `backend/app/api/auth.py`: UserResponse 新增 `expires_at` 字段
|
||||
- `frontend/src/contexts/AuthContext.tsx`: 存储完整用户对象
|
||||
- `frontend/src/app/page.tsx`: 格式化并显示有效期
|
||||
|
||||
### 点击外部关闭下拉菜单
|
||||
|
||||
使用 `useRef` + `useEffect` 监听全局点击事件，点击菜单外部自动关闭。
|
||||
|
||||
### 修改密码后强制重新登录
|
||||
|
||||
密码修改成功后：
|
||||
1. 显示"密码修改成功，正在跳转登录页..."
|
||||
2. 1.5秒后调用登出 API
|
||||
3. 跳转到登录页面
|
||||
|
||||
---
|
||||
|
||||
## 🔗 相关文档
|
||||
|
||||
- [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
|
||||
|
||||
---
|
||||
|
||||
## 🤖 模型与功能增强 (Day 15 晚)
|
||||
|
||||
### 1. GLM-4.7-Flash 升级
|
||||
|
||||
**文件**: `backend/app/services/glm_service.py`
|
||||
|
||||
将文案洗稿模型从 `glm-4-flash` 升级为 `glm-4.7-flash`：
|
||||
|
||||
```python
|
||||
response = client.chat.completions.create(
|
||||
model="glm-4.7-flash", # Upgrade from glm-4-flash
|
||||
messages=[...],
|
||||
# ...
|
||||
)
|
||||
```
|
||||
|
||||
**改进**:
|
||||
- 响应速度提升
|
||||
- 洗稿文案的流畅度和逻辑性增强
|
||||
|
||||
### 2. 独立文案提取助手
|
||||
|
||||
实现了独立的文案提取工具，支持从视频/音频文件或 URL 提取文字。
|
||||
|
||||
#### 后端实现 (`backend/app/api/tools.py`)
|
||||
|
||||
- **多源支持**: 文件上传 (MP4/MP3/WAV) 或 URL 下载
|
||||
- **智能下载**:
|
||||
- `yt-dlp`: 通用下载 (Douyin/TikTok/Bilibili)
|
||||
- `Playwright`: 智能回退机制 (Bilibili Dashboard API, Douyin Cookie Bypass)
|
||||
- **URL 自动清洗**: 正则提取分享文本中的 HTTP 链接
|
||||
- **流程**: 下载 -> FFmpeg 转 WAV (16k) -> Whisper 识别 -> GLM-4.7 洗稿
|
||||
|
||||
#### 前端实现 (`frontend/src/components/ScriptExtractionModal.tsx`)
|
||||
|
||||
- **独立模态框**: 通过顶部导航栏打开
|
||||
- **功能**:
|
||||
- 链接粘贴 / 文件拖拽
|
||||
- 实时进度显示 (下载 -> 识别 -> 洗稿)
|
||||
- **一键填入**: 将提取结果直接填充到主输入框
|
||||
- **自动识别**: 自动区分平台与链接
|
||||
- **交互优化**:
|
||||
- 防止误触背景关闭
|
||||
- 复制功能兼容 HTTP 环境 (Fallback textArea)
|
||||
|
||||
### 3. 上传视频预览功能
|
||||
|
||||
在素材列表 (`frontend/src/app/page.tsx`) 中为上传的视频添加预览功能：
|
||||
- 点击缩略图弹出视频播放模态框
|
||||
- 支持下载与发布快捷跳转
|
||||
|
||||
---
|
||||
|
||||
## 📝 任务清单更新
|
||||
|
||||
- [x] 认证系统迁移 (手机号)
|
||||
- [x] 账户管理 (密码修改/有效期)
|
||||
- [x] GLM-4.7 模型升级
|
||||
- [x] 独立文案提取助手 (B站/抖音支持)
|
||||
- [x] 视频预览功能
|
||||
119
Docs/DevLogs/Day16.md
Normal file
119
Docs/DevLogs/Day16.md
Normal file
@@ -0,0 +1,119 @@
|
||||
---
|
||||
|
||||
## 🔧 Qwen-TTS Flash Attention 优化 (10:00)
|
||||
|
||||
### 优化背景
|
||||
Qwen3-TTS 1.7B 模型在默认情况下加载速度慢，推理显存占用高。通过引入 Flash Attention 2，可以显著提升模型加载速度和推理效率。
|
||||
|
||||
### 实施方案
|
||||
在 `qwen-tts` Conda 环境中安装 `flash-attn`：
|
||||
|
||||
```bash
|
||||
conda activate qwen-tts
|
||||
pip install -U flash-attn --no-build-isolation
|
||||
```
|
||||
|
||||
### 验证结果
|
||||
- **加载速度**: 从 ~60s 提升至 **8.9s** ⚡
|
||||
- **显存占用**: 显著降低，消除 OOM 风险
|
||||
- **代码变动**: 无代码变动，仅环境优化 (自动检测)
|
||||
|
||||
---
|
||||
|
||||
## 🛡️ 服务看门狗 Watchdog (10:30)
|
||||
|
||||
### 问题描述
|
||||
常驻服务 (`vigent2-qwen-tts` 和 `vigent2-latentsync`) 可能会因显存碎片或长时间运行出现僵死 (Port open but unresponsive)。
|
||||
|
||||
### 解决方案
|
||||
开发了一个 Python Watchdog 脚本，每 30 秒轮询服务的 `/health` 接口，如果连续 3 次失败则自动重启服务。
|
||||
|
||||
1. **Watchdog 脚本**: `backend/scripts/watchdog.py`
|
||||
2. **启动脚本**: `run_watchdog.sh` (基于 PM2)
|
||||
|
||||
### 核心逻辑
|
||||
```python
|
||||
# 连续 3 次心跳失败触发重启
|
||||
if service["failures"] >= service['threshold']:
|
||||
subprocess.run(["pm2", "restart", service["name"]])
|
||||
```
|
||||
|
||||
### 部署状态
|
||||
- `vigent2-watchdog` 已启动并加入 PM2 列表
|
||||
- 监控对象: `vigent2-qwen-tts` (8009), `vigent2-latentsync` (8007)
|
||||
|
||||
---
|
||||
|
||||
## ⚡ LatentSync 性能确认
|
||||
|
||||
经代码审计，LatentSync 1.6 已内置优化：
|
||||
- ✅ **Flash Attention**: 原生使用 `torch.nn.functional.scaled_dot_product_attention`
|
||||
- ✅ **DeepCache**: 已启用 (`cache_interval=3`)，提供 ~2.5x 加速
|
||||
- ✅ **GPU 并发**: 双卡流水线 (GPU0 TTS | GPU1 LipSync) 已确认工作正常
|
||||
|
||||
---
|
||||
|
||||
## 🎨 UI 交互体验优化 (15:30)
|
||||
|
||||
### 优化内容
|
||||
- 视频生成完成后，预览优先选中最新输出
|
||||
- 选择项持久化：素材 / 背景音乐 / 历史视频
|
||||
- 列表内滚动定位选中项，避免页面跳动
|
||||
- 刷新回顶部（首页 / 发布页）
|
||||
- 背景音乐试听即选中并自动开启，音量滑块实时影响试听
|
||||
|
||||
### 涉及文件
|
||||
- `frontend/src/app/page.tsx`
|
||||
- `frontend/src/app/publish/page.tsx`
|
||||
|
||||
---
|
||||
|
||||
## 🎵 字体与背景音乐资源库接入 (15:50)
|
||||
|
||||
### 资源库
|
||||
- `backend/assets/fonts/`（SuperIPAgent 字体全量导入）
|
||||
- `backend/assets/bgm/`（背景音乐素材）
|
||||
- `backend/assets/styles/{subtitle.json,title.json}`（样式预设）
|
||||
|
||||
### 服务能力
|
||||
- `/api/assets/subtitle-styles`、`/api/assets/title-styles`、`/api/assets/bgm`
|
||||
- `/assets` 静态挂载供前端预览与试听
|
||||
|
||||
### 生成链路调整
|
||||
- 先完成人声与唇形/字幕对齐，再混入 BGM
|
||||
- 修复 FFmpeg shell 解析导致的混音失败
|
||||
- 禁用 amix 归一化，保证配音音量不被压低
|
||||
|
||||
### 关键修改
|
||||
`backend/app/services/video_service.py`
|
||||
```python
|
||||
filter_complex = (
|
||||
"[0:a]volume=1.0[a0];"
|
||||
f"[1:a]volume={volume}[a1];"
|
||||
"[a0][a1]amix=inputs=2:duration=first:dropout_transition=2:normalize=0[aout]"
|
||||
)
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🖼️ 标题/字幕样式预览 (16:10)
|
||||
|
||||
### 前端
|
||||
- 样式选择 + 预览面板
|
||||
- 字号可调（覆盖样式默认值）
|
||||
- 字体文件动态加载
|
||||
|
||||
### Remotion
|
||||
- 样式参数透传到 `Subtitles` / `Title`
|
||||
- 渲染前临时复制字体到渲染目录
|
||||
|
||||
---
|
||||
|
||||
## 📝 文档更新
|
||||
|
||||
- [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] `README.md`: 新增样式与背景音乐能力说明
|
||||
- [x] `Docs/BACKEND_README.md`: 资产接口与混音链路说明
|
||||
- [x] `Docs/FRONTEND_README.md`: 新增样式预览与BGM试听说明
|
||||
@@ -180,3 +180,52 @@ const formatDate = (timestamp: number) => {
|
||||
2. [ ] 所有 API 请求使用 `api.get/post/delete()` 而非原生 `fetch`
|
||||
3. [ ] 日期格式化使用固定格式函数，不用 `toLocaleString()`
|
||||
4. [ ] 添加 `'use client'` 指令（如需客户端交互）
|
||||
|
||||
---
|
||||
|
||||
## 声音克隆 (Voice Clone) 功能
|
||||
|
||||
### API 端点
|
||||
|
||||
| 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` | GET | 列出用户的参考音频 |
|
||||
| `/api/ref-audios/{id}` | DELETE | 删除参考音频 (id 需 encodeURIComponent) |
|
||||
|
||||
### 视频生成 API 扩展
|
||||
|
||||
```typescript
|
||||
// EdgeTTS 模式 (默认)
|
||||
await api.post('/api/videos/generate', {
|
||||
material_path: '...',
|
||||
text: '口播文案',
|
||||
tts_mode: 'edgetts',
|
||||
voice: 'zh-CN-YunxiNeural',
|
||||
});
|
||||
|
||||
// 声音克隆模式
|
||||
await api.post('/api/videos/generate', {
|
||||
material_path: '...',
|
||||
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',
|
||||
});
|
||||
```
|
||||
|
||||
### 在线录音
|
||||
|
||||
使用 `MediaRecorder` API 录制音频，格式为 `audio/webm`，上传后后端自动转换为 WAV (16kHz mono)。
|
||||
|
||||
```typescript
|
||||
// 录音需要用户授权麦克风
|
||||
const stream = await navigator.mediaDevices.getUserMedia({ audio: true });
|
||||
const mediaRecorder = new MediaRecorder(stream, { mimeType: 'audio/webm' });
|
||||
```
|
||||
|
||||
### 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
|
||||
|
||||
103
Docs/FRONTEND_README.md
Normal file
103
Docs/FRONTEND_README.md
Normal file
@@ -0,0 +1,103 @@
|
||||
# ViGent2 Frontend
|
||||
|
||||
ViGent2 的前端界面，采用 Next.js 14 + 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。
|
||||
- **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)。
|
||||
- **进度追踪**: 实时显示视频生成进度 (10% -> 100%)。
|
||||
- **结果预览**: 生成完成后直接播放下载。
|
||||
- **本地保存**: 文案/标题自动保存，刷新后恢复 (Day 14)。
|
||||
|
||||
### 2. 全自动发布 (`/publish`) [Day 7 新增]
|
||||
- **多平台管理**: 统一管理 B站、抖音、小红书账号状态。
|
||||
- **扫码登录**:
|
||||
- 集成后端 Playwright 生成的 QR Code。
|
||||
- 实时检测扫码状态 (Wait/Success)。
|
||||
- Cookie 自动保存与状态同步。
|
||||
- **发布配置**: 设置视频标题、标签、简介。
|
||||
- **定时任务**: 支持 "立即发布" 或 "定时发布"。
|
||||
|
||||
### 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。
|
||||
|
||||
### 4. 字幕与标题 [Day 13 新增]
|
||||
- **片头标题**: 可选输入，视频开头显示 3 秒淡入淡出标题。
|
||||
- **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)。
|
||||
|
||||
### 5. 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]
|
||||
- **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。
|
||||
- **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。
|
||||
|
||||
### 7. 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。
|
||||
- **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。
|
||||
|
||||
## 🛠️ 技术栈
|
||||
|
||||
- **框架**: Next.js 14 (App Router)
|
||||
- **样式**: TailwindCSS
|
||||
- **图标**: Lucide React
|
||||
- **组件**: 自定义现代化组件 (Glassmorphism 风格)
|
||||
- **API**: Axios 实例 `@/lib/axios` (对接后端 FastAPI :8006)
|
||||
|
||||
## 🚀 开发指南
|
||||
|
||||
### 安装依赖
|
||||
|
||||
```bash
|
||||
npm install
|
||||
```
|
||||
|
||||
### 启动开发服务器
|
||||
|
||||
默认运行在 **3002** 端口 (通过 `package.json` 配置):
|
||||
|
||||
```bash
|
||||
npm run dev
|
||||
# 访问: http://localhost:3002
|
||||
```
|
||||
|
||||
### 目录结构
|
||||
|
||||
```
|
||||
src/
|
||||
├── app/
|
||||
│ ├── page.tsx # 视频生成主页
|
||||
│ ├── publish/ # 发布管理页
|
||||
│ │ └── page.tsx
|
||||
│ └── layout.tsx # 全局布局 (导航栏)
|
||||
├── components/ # UI 组件
|
||||
│ ├── VideoUploader.tsx # 视频上传
|
||||
│ ├── StatusBadge.tsx # 状态徽章
|
||||
│ └── ...
|
||||
└── lib/ # 工具函数
|
||||
```
|
||||
|
||||
## 🔌 后端对接
|
||||
|
||||
- **Base URL**: `http://localhost:8006`
|
||||
- **代理配置**: Next.js Rewrites (如需) 或直接 CORS。
|
||||
|
||||
## 🎨 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
|
||||
29
Docs/Logs.md
29
Docs/Logs.md
@@ -1,29 +0,0 @@
|
||||
rongye@r730-ubuntu:~/ProgramFiles/Supabase$ docker compose up -d
|
||||
[+] up 136/136
|
||||
✔ Image timberio/vector:0.28.1-alpine Pulled 63.3ss
|
||||
✔ Image supabase/storage-api:v1.33.0 Pulled 78.6ss
|
||||
✔ Image darthsim/imgproxy:v3.30.1 Pulled 151.9s
|
||||
✔ Image supabase/postgres-meta:v0.95.1 Pulled 87.5ss
|
||||
✔ Image supabase/logflare:1.27.0 Pulled 229.2s
|
||||
✔ Image supabase/postgres:15.8.1.085 Pulled 268.3s
|
||||
✔ Image supabase/supavisor:2.7.4 Pulled 101.6s
|
||||
✔ Image supabase/realtime:v2.68.0 Pulled 56.5ss
|
||||
✔ Image postgrest/postgrest:v14.1 Pulled 201.8s
|
||||
✔ Image supabase/edge-runtime:v1.69.28 Pulled 254.0s
|
||||
✔ Network supabase_default Created 0.1s
|
||||
✔ Volume supabase_db-config Created 0.1s
|
||||
✔ Container supabase-vector Healthy 16.9s
|
||||
✔ Container supabase-imgproxy Created 7.4s
|
||||
✔ Container supabase-db Healthy 20.6s
|
||||
✔ Container supabase-analytics Created 0.4s
|
||||
✔ Container supabase-edge-functions Created 1.8s
|
||||
✔ Container supabase-auth Created 1.7s
|
||||
✔ Container supabase-studio Created 2.0s
|
||||
✔ Container realtime-dev.supabase-realtime Created 1.7s
|
||||
✔ Container supabase-pooler Created 1.8s
|
||||
✔ Container supabase-kong Created 1.7s
|
||||
✔ Container supabase-meta Created 2.0s
|
||||
✔ Container supabase-rest Created 0.9s
|
||||
✔ Container supabase-storage Created 1.4s
|
||||
Error response from daemon: failed to set up container networking: driver failed programming external connectivity on endpoint supabase-analytics (2fd60a510a1f16bf29f8f5140f14ef457a284c5b65a2567b7be250a4f9708f34): failed to bind host port 0.0.0.0:4000/tcp: address already in use
|
||||
[ble: exit 1]
|
||||
@@ -1,13 +1,13 @@
|
||||
# Qwen3-TTS 0.6B 部署指南
|
||||
# Qwen3-TTS 1.7B 部署指南
|
||||
|
||||
> 本文档描述如何在 Ubuntu 服务器上部署 Qwen3-TTS 0.6B-Base 声音克隆模型。
|
||||
> 本文档描述如何在 Ubuntu 服务器上部署 Qwen3-TTS 1.7B-Base 声音克隆模型。
|
||||
|
||||
## 系统要求
|
||||
|
||||
| 要求 | 规格 |
|
||||
|------|------|
|
||||
| GPU | NVIDIA RTX 3090 24GB (或更高) |
|
||||
| VRAM | ≥ 4GB (推理), ≥ 8GB (带 flash-attn) |
|
||||
| VRAM | ≥ 8GB (推理), ≥ 12GB (带 flash-attn) |
|
||||
| CUDA | 12.1+ |
|
||||
| Python | 3.10.x |
|
||||
| 系统 | Ubuntu 20.04+ |
|
||||
@@ -18,7 +18,7 @@
|
||||
|
||||
| GPU | 服务 | 模型 |
|
||||
|-----|------|------|
|
||||
| GPU0 | **Qwen3-TTS** | 0.6B-Base (声音克隆) |
|
||||
| GPU0 | **Qwen3-TTS** | 1.7B-Base (声音克隆，更高质量) |
|
||||
| GPU1 | LatentSync | 1.6 (唇形同步) |
|
||||
|
||||
---
|
||||
@@ -55,9 +55,9 @@ pip install -e .
|
||||
conda install -y -c conda-forge sox
|
||||
```
|
||||
|
||||
### 可选: 安装 FlashAttention (推荐)
|
||||
### 可选: 安装 FlashAttention (强烈推荐)
|
||||
|
||||
FlashAttention 可以显著提升推理速度并减少显存占用：
|
||||
FlashAttention 可以显著提升推理速度 (加载时间减少 85%) 并减少显存占用：
|
||||
|
||||
```bash
|
||||
pip install -U flash-attn --no-build-isolation
|
||||
@@ -81,8 +81,8 @@ pip install modelscope
|
||||
# 下载 Tokenizer (651MB)
|
||||
modelscope download --model Qwen/Qwen3-TTS-Tokenizer-12Hz --local_dir ./checkpoints/Tokenizer
|
||||
|
||||
# 下载 0.6B-Base 模型 (2.4GB)
|
||||
modelscope download --model Qwen/Qwen3-TTS-12Hz-0.6B-Base --local_dir ./checkpoints/0.6B-Base
|
||||
# 下载 1.7B-Base 模型 (6.8GB)
|
||||
modelscope download --model Qwen/Qwen3-TTS-12Hz-1.7B-Base --local_dir ./checkpoints/1.7B-Base
|
||||
```
|
||||
|
||||
### 方式 B: HuggingFace
|
||||
@@ -91,7 +91,7 @@ modelscope download --model Qwen/Qwen3-TTS-12Hz-0.6B-Base --local_dir ./checkpoi
|
||||
pip install -U "huggingface_hub[cli]"
|
||||
|
||||
huggingface-cli download Qwen/Qwen3-TTS-Tokenizer-12Hz --local-dir ./checkpoints/Tokenizer
|
||||
huggingface-cli download Qwen/Qwen3-TTS-12Hz-0.6B-Base --local-dir ./checkpoints/0.6B-Base
|
||||
huggingface-cli download Qwen/Qwen3-TTS-12Hz-1.7B-Base --local-dir ./checkpoints/1.7B-Base
|
||||
```
|
||||
|
||||
下载完成后，目录结构应如下：
|
||||
@@ -102,7 +102,7 @@ checkpoints/
|
||||
│ ├── config.json
|
||||
│ ├── model.safetensors
|
||||
│ └── ...
|
||||
└── 0.6B-Base/ # ~2.4GB
|
||||
└── 1.7B-Base/ # ~6.8GB
|
||||
├── config.json
|
||||
├── model.safetensors
|
||||
└── ...
|
||||
@@ -136,7 +136,7 @@ from qwen_tts import Qwen3TTSModel
|
||||
|
||||
print("Loading Qwen3-TTS model on GPU:0...")
|
||||
model = Qwen3TTSModel.from_pretrained(
|
||||
"./checkpoints/0.6B-Base",
|
||||
"./checkpoints/1.7B-Base",
|
||||
device_map="cuda:0",
|
||||
dtype=torch.bfloat16,
|
||||
)
|
||||
@@ -169,24 +169,106 @@ python test_inference.py
|
||||
|
||||
---
|
||||
|
||||
## 步骤 6: 安装 HTTP 服务依赖
|
||||
|
||||
```bash
|
||||
conda activate qwen-tts
|
||||
pip install fastapi uvicorn python-multipart
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 步骤 7: 启动服务 (PM2 管理)
|
||||
|
||||
### 手动测试
|
||||
|
||||
```bash
|
||||
conda activate qwen-tts
|
||||
cd /home/rongye/ProgramFiles/ViGent2/models/Qwen3-TTS
|
||||
python qwen_tts_server.py
|
||||
```
|
||||
|
||||
访问 http://localhost:8009/health 验证服务状态。
|
||||
|
||||
### PM2 常驻服务
|
||||
|
||||
> ⚠️ **注意**：启动脚本 `run_qwen_tts.sh` 位于项目**根目录**，而非 models/Qwen3-TTS 目录。
|
||||
|
||||
1. 使用启动脚本:
|
||||
```bash
|
||||
cd /home/rongye/ProgramFiles/ViGent2
|
||||
pm2 start ./run_qwen_tts.sh --name vigent2-qwen-tts
|
||||
pm2 save
|
||||
```
|
||||
|
||||
2. 查看日志:
|
||||
```bash
|
||||
pm2 logs vigent2-qwen-tts
|
||||
```
|
||||
|
||||
3. 重启服务:
|
||||
```bash
|
||||
pm2 restart vigent2-qwen-tts
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 目录结构
|
||||
|
||||
部署完成后，目录结构应如下：
|
||||
|
||||
```
|
||||
/home/rongye/ProgramFiles/ViGent2/models/Qwen3-TTS/
|
||||
├── checkpoints/
|
||||
│ ├── Tokenizer/ # 语音编解码器
|
||||
│ └── 0.6B-Base/ # 声音克隆模型
|
||||
├── qwen_tts/ # 源码
|
||||
│ ├── inference/
|
||||
│ ├── models/
|
||||
│ └── ...
|
||||
├── examples/
|
||||
│ └── myvoice.wav # 参考音频
|
||||
├── pyproject.toml
|
||||
├── requirements.txt
|
||||
└── test_inference.py # 测试脚本
|
||||
/home/rongye/ProgramFiles/ViGent2/
|
||||
├── run_qwen_tts.sh # PM2 启动脚本 (根目录)
|
||||
└── models/Qwen3-TTS/
|
||||
├── checkpoints/
|
||||
│ ├── Tokenizer/ # 语音编解码器
|
||||
│ └── 1.7B-Base/ # 声音克隆模型 (更高质量)
|
||||
├── qwen_tts/ # 源码
|
||||
│ ├── inference/
|
||||
│ ├── models/
|
||||
│ └── ...
|
||||
├── examples/
|
||||
│ └── myvoice.wav # 参考音频
|
||||
├── qwen_tts_server.py # HTTP 推理服务 (端口 8009)
|
||||
├── pyproject.toml
|
||||
├── requirements.txt
|
||||
└── test_inference.py # 测试脚本
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## API 参考
|
||||
|
||||
### 健康检查
|
||||
|
||||
```
|
||||
GET http://localhost:8009/health
|
||||
```
|
||||
|
||||
响应:
|
||||
```json
|
||||
{
|
||||
"service": "Qwen3-TTS Voice Clone",
|
||||
"model": "1.7B-Base",
|
||||
"ready": true,
|
||||
"gpu_id": 0
|
||||
}
|
||||
```
|
||||
|
||||
### 声音克隆生成
|
||||
|
||||
```
|
||||
POST http://localhost:8009/generate
|
||||
Content-Type: multipart/form-data
|
||||
|
||||
Fields:
|
||||
- ref_audio: 参考音频文件 (WAV)
|
||||
- text: 要合成的文本
|
||||
- ref_text: 参考音频的转写文字
|
||||
- language: 语言 (默认 Chinese)
|
||||
|
||||
Response: audio/wav 文件
|
||||
```
|
||||
|
||||
---
|
||||
@@ -199,7 +281,7 @@ python test_inference.py
|
||||
|------|------|------|
|
||||
| 0.6B-Base | 3秒快速声音克隆 | 2.4GB |
|
||||
| 0.6B-CustomVoice | 9种预设音色 | 2.4GB |
|
||||
| 1.7B-Base | 声音克隆 (更高质量) | 6.8GB |
|
||||
| **1.7B-Base** | **声音克隆 (更高质量)** ✅ 当前使用 | 6.8GB |
|
||||
| 1.7B-VoiceDesign | 自然语言描述生成声音 | 6.8GB |
|
||||
|
||||
### 支持语言
|
||||
@@ -224,17 +306,18 @@ conda install -y -c conda-forge sox
|
||||
|
||||
### CUDA 内存不足
|
||||
|
||||
Qwen3-TTS 0.6B 通常只需要 4-6GB VRAM。如果遇到 OOM：
|
||||
Qwen3-TTS 1.7B 通常需要 8-10GB VRAM。如果遇到 OOM：
|
||||
|
||||
1. 确保 GPU0 没有运行其他程序
|
||||
2. 不使用 flash-attn (会增加显存占用)
|
||||
3. 使用更小的参考音频 (3-5秒)
|
||||
4. 如果显存仍不足，可降级使用 0.6B-Base 模型
|
||||
|
||||
### 模型加载失败
|
||||
|
||||
确保以下文件存在：
|
||||
- `checkpoints/0.6B-Base/config.json`
|
||||
- `checkpoints/0.6B-Base/model.safetensors`
|
||||
- `checkpoints/1.7B-Base/config.json`
|
||||
- `checkpoints/1.7B-Base/model.safetensors`
|
||||
|
||||
### 音频输出质量问题
|
||||
|
||||
@@ -244,6 +327,54 @@ Qwen3-TTS 0.6B 通常只需要 4-6GB VRAM。如果遇到 OOM：
|
||||
|
||||
---
|
||||
|
||||
## 后端 ViGent2 集成
|
||||
|
||||
### 声音克隆服务 (`voice_clone_service.py`)
|
||||
|
||||
后端通过 HTTP 调用 Qwen3-TTS 服务：
|
||||
|
||||
```python
|
||||
import aiohttp
|
||||
|
||||
QWEN_TTS_URL = "http://localhost:8009"
|
||||
|
||||
async def generate_cloned_audio(ref_audio_path: str, text: str, output_path: str):
|
||||
async with aiohttp.ClientSession() as session:
|
||||
with open(ref_audio_path, "rb") as f:
|
||||
data = aiohttp.FormData()
|
||||
data.add_field("ref_audio", f, filename="ref.wav")
|
||||
data.add_field("text", text)
|
||||
|
||||
async with session.post(f"{QWEN_TTS_URL}/generate", data=data) as resp:
|
||||
audio_data = await resp.read()
|
||||
with open(output_path, "wb") as out:
|
||||
out.write(audio_data)
|
||||
return output_path
|
||||
```
|
||||
|
||||
### 参考音频 Supabase Bucket
|
||||
|
||||
```sql
|
||||
-- 创建 ref-audios bucket
|
||||
INSERT INTO storage.buckets (id, name, public)
|
||||
VALUES ('ref-audios', 'ref-audios', true)
|
||||
ON CONFLICT (id) DO NOTHING;
|
||||
|
||||
-- RLS 策略
|
||||
CREATE POLICY "Allow public uploads" ON storage.objects
|
||||
FOR INSERT TO anon WITH CHECK (bucket_id = 'ref-audios');
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 更新日志
|
||||
|
||||
| 日期 | 版本 | 说明 |
|
||||
|------|------|------|
|
||||
| 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 |
|
||||
|
||||
---
|
||||
|
||||
## 参考链接
|
||||
|
||||
- [Qwen3-TTS GitHub](https://github.com/QwenLM/Qwen3-TTS)
|
||||
|
||||
282
Docs/SUBTITLE_DEPLOY.md
Normal file
282
Docs/SUBTITLE_DEPLOY.md
Normal file
@@ -0,0 +1,282 @@
|
||||
# ViGent2 字幕与标题功能部署指南
|
||||
|
||||
本文档介绍如何部署 ViGent2 的逐字高亮字幕和片头标题功能。
|
||||
|
||||
## 功能概述
|
||||
|
||||
| 功能 | 说明 |
|
||||
|------|------|
|
||||
| **逐字高亮字幕** | 使用 faster-whisper 生成字级别时间戳，Remotion 渲染卡拉OK效果 |
|
||||
| **片头标题** | 视频开头显示标题，带淡入淡出动画，几秒后消失 |
|
||||
|
||||
## 技术架构
|
||||
|
||||
```
|
||||
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
|
||||
```
|
||||
|
||||
## 系统要求
|
||||
|
||||
| 组件 | 要求 |
|
||||
|------|------|
|
||||
| Node.js | 18+ |
|
||||
| Python | 3.10+ |
|
||||
| GPU 显存 | faster-whisper 需要约 3-4GB VRAM |
|
||||
| FFmpeg | 已安装 |
|
||||
|
||||
---
|
||||
|
||||
## 部署步骤
|
||||
|
||||
### 步骤 1: 安装 faster-whisper (Python)
|
||||
|
||||
```bash
|
||||
cd /home/rongye/ProgramFiles/ViGent2/backend
|
||||
source venv/bin/activate
|
||||
|
||||
# 安装 faster-whisper
|
||||
pip install faster-whisper>=1.0.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
|
||||
```
|
||||
|
||||
> **注意**: 首次运行时，faster-whisper 会自动下载 `large-v3` Whisper 模型 (~3GB)
|
||||
|
||||
### 步骤 2: 安装 Remotion (Node.js)
|
||||
|
||||
```bash
|
||||
cd /home/rongye/ProgramFiles/ViGent2/remotion
|
||||
|
||||
# 安装依赖
|
||||
npm install
|
||||
```
|
||||
|
||||
### 步骤 3: 重启后端服务
|
||||
|
||||
```bash
|
||||
pm2 restart vigent2-backend
|
||||
```
|
||||
|
||||
### 步骤 4: 验证安装
|
||||
|
||||
```bash
|
||||
# 检查 faster-whisper 是否安装成功
|
||||
cd /home/rongye/ProgramFiles/ViGent2/backend
|
||||
source venv/bin/activate
|
||||
python -c "from faster_whisper import WhisperModel; print('faster-whisper OK')"
|
||||
|
||||
# 检查 Remotion 是否安装成功
|
||||
cd /home/rongye/ProgramFiles/ViGent2/remotion
|
||||
npx remotion --version
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 文件结构
|
||||
|
||||
### 后端新增文件
|
||||
|
||||
| 文件 | 说明 |
|
||||
|------|------|
|
||||
| `backend/app/services/whisper_service.py` | 字幕对齐服务 (基于 faster-whisper) |
|
||||
| `backend/app/services/remotion_service.py` | Remotion 渲染服务 |
|
||||
|
||||
### Remotion 项目结构
|
||||
|
||||
```
|
||||
remotion/
|
||||
├── package.json # Node.js 依赖配置
|
||||
├── tsconfig.json # TypeScript 配置
|
||||
├── render.ts # 服务端渲染脚本
|
||||
└── src/
|
||||
├── index.ts # Remotion 入口
|
||||
├── Root.tsx # 根组件
|
||||
├── Video.tsx # 主视频组件
|
||||
├── components/
|
||||
│ ├── Title.tsx # 片头标题组件
|
||||
│ ├── Subtitles.tsx # 逐字高亮字幕组件
|
||||
│ └── VideoLayer.tsx # 视频图层组件
|
||||
├── utils/
|
||||
│ └── captions.ts # 字幕数据处理工具
|
||||
└── fonts/ # 字体文件目录 (可选)
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## API 参数
|
||||
|
||||
视频生成 API (`POST /api/videos/generate`) 新增以下参数：
|
||||
|
||||
| 参数 | 类型 | 默认值 | 说明 |
|
||||
|------|------|--------|------|
|
||||
| `title` | string | null | 视频标题（片头显示，可选） |
|
||||
| `enable_subtitles` | boolean | true | 是否启用逐字高亮字幕 |
|
||||
|
||||
### 请求示例
|
||||
|
||||
```json
|
||||
{
|
||||
"material_path": "https://...",
|
||||
"text": "大家好，欢迎来到我的频道",
|
||||
"tts_mode": "edgetts",
|
||||
"voice": "zh-CN-YunxiNeural",
|
||||
"title": "今日分享",
|
||||
"enable_subtitles": true
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 视频生成流程
|
||||
|
||||
新的视频生成流程进度分配：
|
||||
|
||||
| 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 |
|
||||
| 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 |
|
||||
| 上传结果 | 95% → 100% | 上传到 Supabase Storage |
|
||||
|
||||
---
|
||||
|
||||
## 降级处理
|
||||
|
||||
系统包含自动降级机制，确保基本功能不受影响：
|
||||
|
||||
| 场景 | 处理方式 |
|
||||
|------|----------|
|
||||
| 字幕对齐失败 | 跳过字幕，继续生成视频 |
|
||||
| Remotion 未安装 | 使用 FFmpeg 直接合成 |
|
||||
| Remotion 渲染失败 | 回退到 FFmpeg 合成 |
|
||||
|
||||
---
|
||||
|
||||
## 配置说明
|
||||
|
||||
### 字幕服务配置
|
||||
|
||||
字幕服务位于 `backend/app/services/whisper_service.py`，默认配置：
|
||||
|
||||
| 参数 | 默认值 | 说明 |
|
||||
|------|--------|------|
|
||||
| `model_size` | large-v3 | Whisper 模型大小 |
|
||||
| `device` | cuda | 运行设备 |
|
||||
| `compute_type` | float16 | 计算精度 |
|
||||
|
||||
如需修改，可编辑 `whisper_service.py` 中的 `WhisperService` 初始化参数。
|
||||
|
||||
### Remotion 配置
|
||||
|
||||
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） |
|
||||
|
||||
---
|
||||
|
||||
## 故障排除
|
||||
|
||||
### faster-whisper 相关
|
||||
|
||||
**问题**: `ModuleNotFoundError: No module named 'faster_whisper'`
|
||||
|
||||
```bash
|
||||
cd /home/rongye/ProgramFiles/ViGent2/backend
|
||||
source venv/bin/activate
|
||||
pip install faster-whisper>=1.0.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
|
||||
```
|
||||
|
||||
**问题**: GPU 显存不足
|
||||
|
||||
修改 `whisper_service.py`，使用较小的模型：
|
||||
```python
|
||||
WhisperService(model_size="medium", compute_type="int8")
|
||||
```
|
||||
|
||||
### Remotion 相关
|
||||
|
||||
**问题**: `node_modules not found`
|
||||
|
||||
```bash
|
||||
cd /home/rongye/ProgramFiles/ViGent2/remotion
|
||||
npm install
|
||||
```
|
||||
|
||||
**问题**: Remotion 渲染失败 - `fs` 模块错误
|
||||
|
||||
确保 `remotion/src/utils/captions.ts` 中没有使用 Node.js 的 `fs` 模块。Remotion 在浏览器环境打包，不支持 `fs`。
|
||||
|
||||
**问题**: Remotion 渲染失败 - 视频文件读取错误 (`file://` 协议)
|
||||
|
||||
确保 `render.ts` 使用 `publicDir` 选项指向视频所在目录，`VideoLayer.tsx` 使用 `staticFile()` 加载视频：
|
||||
|
||||
```typescript
|
||||
// render.ts
|
||||
const publicDir = path.dirname(path.resolve(options.videoPath));
|
||||
const bundleLocation = await bundle({
|
||||
entryPoint: path.resolve(__dirname, './src/index.ts'),
|
||||
publicDir, // 关键配置
|
||||
});
|
||||
|
||||
// VideoLayer.tsx
|
||||
const videoUrl = staticFile(videoSrc); // 使用 staticFile
|
||||
```
|
||||
|
||||
**问题**: Remotion 渲染失败
|
||||
|
||||
查看后端日志：
|
||||
```bash
|
||||
pm2 logs vigent2-backend
|
||||
```
|
||||
|
||||
### 查看服务健康状态
|
||||
|
||||
```bash
|
||||
# 字幕服务健康检查
|
||||
cd /home/rongye/ProgramFiles/ViGent2/backend
|
||||
source venv/bin/activate
|
||||
python -c "from app.services.whisper_service import whisper_service; import asyncio; print(asyncio.run(whisper_service.check_health()))"
|
||||
|
||||
# Remotion 健康检查
|
||||
python -c "from app.services.remotion_service import remotion_service; import asyncio; print(asyncio.run(remotion_service.check_health()))"
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 可选优化
|
||||
|
||||
### 添加中文字体
|
||||
|
||||
为获得更好的字幕渲染效果，可添加中文字体：
|
||||
|
||||
```bash
|
||||
# 下载 Noto Sans SC 字体
|
||||
cd /home/rongye/ProgramFiles/ViGent2/remotion/src/fonts
|
||||
wget https://github.com/googlefonts/noto-cjk/raw/main/Sans/OTF/SimplifiedChinese/NotoSansSC-Regular.otf -O NotoSansSC.otf
|
||||
```
|
||||
|
||||
### 使用 GPU 0
|
||||
|
||||
faster-whisper 默认使用 GPU 0，与 LatentSync (GPU 1) 分开，避免显存冲突。如需指定 GPU：
|
||||
|
||||
```python
|
||||
# 在 whisper_service.py 中修改
|
||||
WhisperService(device="cuda:0") # 或 "cuda:1"
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 更新日志
|
||||
|
||||
| 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 |
|
||||
| 2026-01-30 | 1.0.1 | 字幕高亮样式与标题动画优化，视觉表现更清晰 |
|
||||
@@ -6,6 +6,7 @@
|
||||
- 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
|
||||
|
||||
---
|
||||
@@ -47,7 +48,7 @@
|
||||
| **任务队列** | Celery + Redis | RQ / Dramatiq |
|
||||
| **唇形同步** | **LatentSync 1.6** | MuseTalk / Wav2Lip |
|
||||
| **TTS 配音** | EdgeTTS | CosyVoice |
|
||||
| **声音克隆** | GPT-SoVITS (可选) | - |
|
||||
| **声音克隆** | **Qwen3-TTS 1.7B** ✅ | GPT-SoVITS |
|
||||
| **视频处理** | FFmpeg | MoviePy |
|
||||
| **自动发布** | social-auto-upload | 自行实现 |
|
||||
| **数据库** | SQLite → PostgreSQL | MySQL |
|
||||
@@ -219,6 +220,7 @@ cp -r SuperIPAgent/social-auto-upload backend/social_upload
|
||||
| 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 | ✅ |
|
||||
@@ -323,25 +325,42 @@ cp -r SuperIPAgent/social-auto-upload backend/social_upload
|
||||
- [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)
|
||||
|
||||
```
|
||||
TalkingHeadAgent/
|
||||
├── frontend/ # Next.js 前端
|
||||
│ ├── app/
|
||||
│ ├── components/
|
||||
│ └── package.json
|
||||
├── backend/ # FastAPI 后端
|
||||
│ ├── app/
|
||||
│ ├── MuseTalk/ # 唇形同步模型
|
||||
│ ├── social_upload/ # 社交发布模块
|
||||
│ └── requirements.txt
|
||||
├── docker-compose.yml # 一键部署
|
||||
└── README.md
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 开发时间估算
|
||||
|
||||
@@ -1,360 +1,95 @@
|
||||
# ViGent 数字人口播系统 - 开发任务清单
|
||||
# ViGent2 开发任务清单 (Task Log)
|
||||
|
||||
**项目**：ViGent2 数字人口播视频生成系统
|
||||
**服务器**：Dell R730 (2× RTX 3090 24GB)
|
||||
**更新时间**：2026-01-28
|
||||
**整体进度**：100%（Day 12 iOS 兼容、移动端优化、Qwen3-TTS 部署）
|
||||
|
||||
## 📖 快速导航
|
||||
|
||||
| 章节 | 说明 |
|
||||
|------|------|
|
||||
| [已完成任务](#-已完成任务) | Day 1-12 完成的功能 |
|
||||
| [后续规划](#️-后续规划) | 待办项目 |
|
||||
| [进度统计](#-进度统计) | 各模块完成度 |
|
||||
| [里程碑](#-里程碑) | 关键节点 |
|
||||
| [时间线](#-时间线) | 开发历程 |
|
||||
|
||||
**相关文档**：
|
||||
- [Day 日志](file:///d:/CodingProjects/Antigravity/ViGent2/Docs/DevLogs/) (Day1-Day12)
|
||||
- [部署指南](file:///d:/CodingProjects/Antigravity/ViGent2/Docs/DEPLOY_MANUAL.md)
|
||||
- [Qwen3-TTS 部署](file:///d:/CodingProjects/Antigravity/ViGent2/Docs/QWEN3_TTS_DEPLOY.md)
|
||||
**项目**: ViGent2 数字人口播视频生成系统
|
||||
**进度**: 100% (Day 16 - 深度优化完成)
|
||||
**更新时间**: 2026-02-03
|
||||
|
||||
---
|
||||
|
||||
## ✅ 已完成任务
|
||||
## 📅 对话历史与开发日志
|
||||
|
||||
### 阶段一：核心功能验证
|
||||
- [x] EdgeTTS 配音集成
|
||||
- [x] FFmpeg 视频合成
|
||||
- [x] MuseTalk 唇形同步 (代码集成)
|
||||
- [x] 端到端流程验证
|
||||
> 这里记录了每一天的核心开发内容与 milestone。
|
||||
|
||||
### 阶段二：后端 API 开发
|
||||
- [x] FastAPI 项目搭建
|
||||
- [x] 视频生成 API
|
||||
- [x] 素材管理 API
|
||||
- [x] 文件存储管理
|
||||
### Day 16: 深度性能优化 (Current) 🚀
|
||||
- [x] **Qwen-TTS 加速**: 集成 Flash Attention 2，模型加载速度提升至 8.9s。
|
||||
- [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。
|
||||
- [x] **UI 交互优化**: 选择项持久化、列表内定位、刷新回顶部。
|
||||
- [x] **样式与预览**: 标题/字幕样式选择 + 预览 + 字号调节。
|
||||
- [x] **背景音乐**: 试听 + 音量控制 + 混音稳定性修复。
|
||||
- [x] **资产库接入**: 字体/BGM 资源库 + `/api/assets` 资源接口。
|
||||
|
||||
### 阶段三：前端 Web UI
|
||||
- [x] Next.js 项目初始化
|
||||
- [x] 视频生成页面
|
||||
- [x] 发布管理页面
|
||||
- [x] 任务状态展示
|
||||
### Day 15: 手机号认证迁移
|
||||
- [x] **认证系统升级**: 从邮箱迁移至 11 位手机号注册/登录。
|
||||
- [x] **账户管理**: 新增修改密码、有效期显示、安全退出功能。
|
||||
- [x] **AI 文案助手**: 升级 GLM-4.7-Flash，支持 B站/抖音链接提取与洗稿。
|
||||
|
||||
### 阶段四：社交媒体发布
|
||||
- [x] Playwright 自动化框架
|
||||
- [x] Cookie 管理功能
|
||||
- [x] 多平台发布 UI
|
||||
- [x] 定时发布功能 (Day 7)
|
||||
- [x] QR码自动登录 (Day 7)
|
||||
### 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。
|
||||
|
||||
### 阶段五：部署与文档
|
||||
- [x] 手动部署指南 (DEPLOY_MANUAL.md)
|
||||
- [x] 一键部署脚本 (deploy.sh)
|
||||
- [x] 环境配置模板 (.env.example)
|
||||
- [x] 项目文档 (README.md)
|
||||
- [x] 端口配置 (8006/3002)
|
||||
### 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] **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。
|
||||
|
||||
### 阶段六：MuseTalk 服务器部署 (Day 2-3)
|
||||
- [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
|
||||
- [x] 实际推理调用验证 (Day 3 修复)
|
||||
### Day 12: 移动端适配
|
||||
- [x] **iOS 兼容**: 修复 Safari 安全区域、状态栏颜色、Cookie 拦截问题。
|
||||
- [x] **响应式 UI**: 移动端 Header 与发布页重构。
|
||||
|
||||
### 阶段七：MuseTalk 完整修复 (Day 4)
|
||||
- [x] 权重检测路径修复 (软链接)
|
||||
- [x] 音视频长度不匹配修复 (audio_processor.py)
|
||||
- [x] 推理脚本错误日志增强 (inference.py)
|
||||
- [x] 视频合成 MP4 生成验证
|
||||
- [x] 端到端流程完整测试
|
||||
### Day 11: 上传架构重构
|
||||
- [x] **直传优化**: 前端直传 Supabase Storage，解决 Nginx 30s 超时问题。
|
||||
- [x] **数据隔离**: 用户素材/视频按 UserID 物理隔离。
|
||||
|
||||
### 阶段八：前端功能增强 (Day 5)
|
||||
- [x] Web 视频上传功能
|
||||
- [x] 上传进度显示
|
||||
- [x] 自动刷新素材列表
|
||||
### Day 10: HTTPS 与安全
|
||||
- [x] **HTTPS 部署**: 配置 SSL 证书与 Nginx 反向代理。
|
||||
- [x] **安全加固**: Supabase Studio 增加 Basic Auth 保护。
|
||||
|
||||
### 阶段九：唇形同步模型升级 (Day 6)
|
||||
- [x] MuseTalk → LatentSync 1.6 迁移
|
||||
- [x] 后端代码适配 (config.py, lipsync_service.py)
|
||||
- [x] Conda 环境配置 (latentsync)
|
||||
- [x] 模型权重部署指南
|
||||
- [x] 服务器端到端验证
|
||||
### Day 9: 认证系统与发布闭环
|
||||
- [x] **用户系统**: 基于 Supabase Auth 实现 JWT 认证。
|
||||
- [x] **发布闭环**: 验证 B站/抖音/小红书 自动发布流程。
|
||||
- [x] **服务自愈**: 配置 PM2 进程守护。
|
||||
|
||||
### 阶段十：性能优化 (Day 6)
|
||||
- [x] 视频预压缩优化 (高分辨率自动压缩到720p)
|
||||
- [x] 进度更新细化 (5% → 10% → 25% → ... → 100%)
|
||||
- [x] LipSync 服务单例缓存
|
||||
- [x] 健康检查缓存 (5分钟)
|
||||
- [x] 异步子进程修复 (subprocess.run → asyncio)
|
||||
- [x] 预加载模型服务 (常驻 Server + FastAPI)
|
||||
- [x] 批量队列处理 (GPU 并发控制)
|
||||
|
||||
### 阶段十一：社交媒体发布完善 (Day 7)
|
||||
- [x] QR码自动登录 (Playwright headless)
|
||||
- [x] 多平台上传器架构 (B站/抖音/小红书)
|
||||
- [x] B站发布 (biliup官方库)
|
||||
- [x] 抖音/小红书发布 (Playwright)
|
||||
- [x] 定时发布功能
|
||||
- [x] 前端发布UI优化
|
||||
- [x] Cookie自动管理
|
||||
- [x] UI一致性修复 (导航栏对齐、滚动条隐藏)
|
||||
- [x] QR登录超时修复 (Stealth模式、多选择器fallback)
|
||||
- [x] 文档规则优化 (智能修改标准、工具使用规范)
|
||||
|
||||
### 阶段十二：用户体验优化 (Day 8)
|
||||
- [x] 文件名保留 (时间戳前缀 + 原始名称)
|
||||
- [x] 视频持久化 (从文件系统读取历史)
|
||||
- [x] 历史视频列表组件
|
||||
- [x] 素材/视频删除功能
|
||||
- [x] 登出功能 (Logout API + 前端按钮)
|
||||
- [x] 前端 SWR 轮询优化
|
||||
- [x] QR 登录状态检测修复
|
||||
|
||||
### 阶段十三：发布模块优化 (Day 9)
|
||||
- [x] B站/抖音发布验证通过
|
||||
- [x] 资源清理保障 (try-finally)
|
||||
- [x] 超时保护 (消除无限循环)
|
||||
- [x] 小红书 headless 模式修复
|
||||
- [x] API 输入验证
|
||||
- [x] 完整类型提示
|
||||
- [x] 扫码登录等待界面 (加载动画)
|
||||
- [x] 抖音/B站登录策略优化 (Text优先)
|
||||
- [x] 发布成功审核提示
|
||||
|
||||
### 阶段十四：用户认证系统 (Day 9)
|
||||
- [x] Supabase 数据库表设计与部署
|
||||
- [x] JWT 认证 (HttpOnly Cookie)
|
||||
- [x] 用户注册/登录/登出 API
|
||||
- [x] 管理员权限控制 (is_active)
|
||||
- [x] 单设备登录限制 (Session Token)
|
||||
- [x] 防止 Supabase 暂停 (GitHub Actions/Crontab)
|
||||
- [x] 认证部署文档 (AUTH_DEPLOY.md)
|
||||
|
||||
### 阶段十五：部署稳定性优化 (Day 9)
|
||||
- [x] 后端依赖修复 (bcrypt/email-validator)
|
||||
- [x] 前端生产环境构建修复 (npm run build)
|
||||
- [x] LatentSync 性能卡顿修复 (OMP_NUM_THREADS限制)
|
||||
- [x] 部署服务自愈 (PM2 配置优化)
|
||||
- [x] 部署手册全量更新 (DEPLOY_MANUAL.md)
|
||||
|
||||
### 阶段十六：HTTPS 部署与细节完善 (Day 10)
|
||||
- [x] 隧道访问修复 (StaticFiles 挂载 + Rewrite)
|
||||
- [x] 平台账号列表 500 错误修复 (paths.py)
|
||||
- [x] Nginx HTTPS 配置 (反向代理 + SSL)
|
||||
- [x] 浏览器标题修改 (ViGent)
|
||||
- [x] 代码自适应 HTTPS 验证
|
||||
- [x] **Supabase 自托管部署** (Docker, 3003/8008端口)
|
||||
- [x] **安全加固** (Basic Auth 保护后台)
|
||||
- [x] **端口冲突解决** (迁移 Analytics/Kong)
|
||||
|
||||
### 阶段十七：上传架构重构 (Day 11)
|
||||
- [x] **直传改造** (前端直接上传 Supabase，绕过后端代理)
|
||||
- [x] **后端适配** (Signed URL 签名生成)
|
||||
- [x] **RLS 策略部署** (SQL 脚本自动化权限配置)
|
||||
- [x] **超时问题根治** (彻底解决 Nginx/FRP 30s 限制)
|
||||
- [x] **前端依赖更新** (@supabase/supabase-js 集成)
|
||||
|
||||
### 阶段十八：用户隔离与存储优化 (Day 11)
|
||||
- [x] **用户数据隔离** (素材/视频/Cookie 按用户ID目录隔离)
|
||||
- [x] **Storage URL 修复** (SUPABASE_PUBLIC_URL 配置，修复 localhost 问题)
|
||||
- [x] **发布服务优化** (直接读取本地 Supabase Storage 文件，跳过 HTTP 下载)
|
||||
- [x] **Supabase Studio 配置** (公网访问配置)
|
||||
|
||||
### 阶段十九：iOS 兼容与移动端 UI 优化 (Day 12)
|
||||
- [x] **Axios 全局拦截器** (401/403 自动跳转登录，防重复跳转)
|
||||
- [x] **iOS Safari 安全区域修复** (viewport-fit: cover, themeColor, 渐变背景统一)
|
||||
- [x] **移动端 Header 优化** (按钮紧凑布局，响应式间距)
|
||||
- [x] **发布页面 UI 重构** (立即发布/定时发布按钮分离，防误触设计)
|
||||
- [x] **Qwen3-TTS 0.6B 部署** (声音克隆模型，GPU0，3秒参考音频快速克隆)
|
||||
### Day 1-8: 核心功能构建
|
||||
- [x] **Day 8**: 历史记录持久化与文件管理。
|
||||
- [x] **Day 7**: 社交媒体自动登录与多平台发布。
|
||||
- [x] **Day 6**: **LatentSync 1.6** 升级与服务器部署。
|
||||
- [x] **Day 5**: 前端视频上传与进度反馈。
|
||||
- [x] **Day 4**: MuseTalk (旧版) 口型同步修复。
|
||||
- [x] **Day 3**: 服务器环境配置与模型权重下载。
|
||||
- [x] **Day 1-2**: 项目基础框架 (FastAPI + Next.js) 搭建。
|
||||
|
||||
---
|
||||
|
||||
## 🛤️ 后续规划
|
||||
## 🛤️ 后续规划 (Roadmap)
|
||||
|
||||
### 🔴 优先待办
|
||||
- [ ] **Qwen3-TTS 集成到 ViGent2** - 前端 UI + 后端服务集成
|
||||
- [ ] 批量视频生成架构设计
|
||||
|
||||
### 🟠 功能完善
|
||||
- [x] 定时发布功能 ✅ Day 7 完成
|
||||
- [ ] **后端定时发布** - 替代平台端定时，使用 APScheduler 实现任务调度
|
||||
- [ ] 批量视频生成
|
||||
- [ ] 字幕样式编辑器
|
||||
- [ ] **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。
|
||||
|
||||
### 🔵 长期探索
|
||||
- [ ] Docker 容器化
|
||||
- [ ] Celery 分布式任务队列
|
||||
- [ ] **容器化交付**: 提供完整的 Docker Compose 一键部署包。
|
||||
- [ ] **分布式队列**: 引入 Celery + Redis 处理超高并发任务。
|
||||
|
||||
---
|
||||
|
||||
## 📊 进度统计
|
||||
|
||||
### 总体进度
|
||||
```
|
||||
████████████████████ 100%
|
||||
```
|
||||
|
||||
### 各模块进度
|
||||
## 📊 模块完成度
|
||||
|
||||
| 模块 | 进度 | 状态 |
|
||||
|------|------|------|
|
||||
| 后端 API | 100% | ✅ 完成 |
|
||||
| 前端 UI | 100% | ✅ 完成 |
|
||||
| TTS 配音 | 100% | ✅ 完成 |
|
||||
| 视频合成 | 100% | ✅ 完成 |
|
||||
| 唇形同步 | 100% | ✅ LatentSync 1.6 升级完成 |
|
||||
| 社交发布 | 100% | ✅ Day 9 验证通过 |
|
||||
| 用户认证 | 100% | ✅ Day 9 Supabase+JWT |
|
||||
| 服务器部署 | 100% | ✅ Day 9 稳定性优化完成 |
|
||||
| **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 |
|
||||
| **自动发布** | 100% | ✅ B站/抖音/小红书 |
|
||||
| **用户认证** | 100% | ✅ 手机号 + JWT |
|
||||
| **部署运维** | 100% | ✅ PM2 + Watchdog |
|
||||
|
||||
---
|
||||
|
||||
## 🎯 里程碑
|
||||
|
||||
### Milestone 1: 项目框架搭建 ✅
|
||||
**完成时间**: Day 1
|
||||
**成果**:
|
||||
- FastAPI 后端 + Next.js 前端
|
||||
- EdgeTTS + FFmpeg 集成
|
||||
- 视频生成端到端验证
|
||||
|
||||
### Milestone 2: 服务器部署 ✅
|
||||
**完成时间**: Day 3
|
||||
**成果**:
|
||||
- PyTorch 2.0.1 + MMLab 环境修复
|
||||
- 模型目录重组与权重补全
|
||||
- MuseTalk 推理成功运行
|
||||
|
||||
### Milestone 3: 口型同步完整修复 ✅
|
||||
**完成时间**: Day 4
|
||||
**成果**:
|
||||
- 权重检测路径修复 (软链接)
|
||||
- 音视频长度不匹配修复
|
||||
- 视频合成 MP4 验证通过 (28MB → 3.8MB)
|
||||
|
||||
### Milestone 4: LatentSync 1.6 升级 ✅
|
||||
**完成时间**: Day 6
|
||||
**成果**:
|
||||
- MuseTalk → LatentSync 1.6 迁移
|
||||
- 512×512 高分辨率唇形同步
|
||||
- Latent Diffusion 架构升级
|
||||
- 性能优化 (视频预压缩、进度更新)
|
||||
|
||||
### Milestone 5: 用户认证系统 ✅
|
||||
**完成时间**: Day 9
|
||||
**成果**:
|
||||
- Supabase 云数据库集成
|
||||
- 安全的 JWT + HttpOnly Cookie 认证
|
||||
- 管理员后台与用户隔离
|
||||
- 完善的部署与保活方案
|
||||
|
||||
### Milestone 6: 生产环境部署稳定化 ✅
|
||||
**完成时间**: Day 9
|
||||
**成果**:
|
||||
- 修复了后端 (bcrypt) 和前端 (build) 的启动崩溃问题
|
||||
- 解决了 LatentSync 占用全量 CPU 导致服务器卡顿的严重问题
|
||||
- 完善了部署手册，记录了关键的 Troubleshooting 步骤
|
||||
- 实现了服务 Long-term 稳定运行 (Reset PM2 counter)
|
||||
|
||||
---
|
||||
|
||||
## 📅 时间线
|
||||
|
||||
Day 1: 项目初始化 + 核心功能 ✅ 完成
|
||||
- 后端 API 框架
|
||||
- 前端 UI
|
||||
- TTS + 视频合成
|
||||
- 社交发布框架
|
||||
- 部署文档
|
||||
|
||||
Day 2: 服务器部署 + MuseTalk ✅ 完成
|
||||
- 端口配置 (8006/3002)
|
||||
- MuseTalk conda 环境初始化
|
||||
- subprocess 调用实现
|
||||
- 健康检查验证
|
||||
|
||||
Day 3: 环境修复与验证 ✅ 完成
|
||||
- PyTorch 降级 (2.5 -> 2.0.1)
|
||||
- MMLab 依赖全量安装
|
||||
- 模型权重补全 (dwpose, syncnet)
|
||||
- 目录结构修复 (symlinks)
|
||||
- 推理脚本验证 (生成593帧)
|
||||
|
||||
Day 4: 口型同步完整修复 ✅ 完成
|
||||
- 权重检测路径修复 (软链接)
|
||||
- audio_processor.py 音视频长度修复
|
||||
- inference.py 错误日志增强
|
||||
- MP4 视频合成验证通过
|
||||
|
||||
Day 5: 前端功能增强 ✅ 完成
|
||||
- Web 视频上传功能
|
||||
- 上传进度显示
|
||||
- 自动刷新素材列表
|
||||
|
||||
Day 6: LatentSync 1.6 升级 ✅ 完成
|
||||
- MuseTalk → LatentSync 迁移
|
||||
- 后端代码适配
|
||||
- 模型部署指南
|
||||
- 服务器部署验证
|
||||
- 性能优化 (视频预压缩、进度更新)
|
||||
|
||||
Day 7: 社交媒体发布完善 ✅ 完成
|
||||
- QR码自动登录 (B站/抖音验证通过)
|
||||
- 智能定位策略 (CSS/Text并行)
|
||||
- 多平台发布 (B站/抖音/小红书)
|
||||
- UI 一致性优化
|
||||
- 文档规则体系优化
|
||||
|
||||
Day 8: 用户体验优化 ✅ 完成
|
||||
- 文件名保留 (时间戳前缀)
|
||||
- 视频持久化 (历史视频API)
|
||||
- 历史视频列表组件
|
||||
- 素材/视频删除功能
|
||||
|
||||
Day 9: 发布模块优化 ✅ 完成
|
||||
- B站/抖音登录+发布验证通过
|
||||
- 资源清理保障 (try-finally)
|
||||
- 超时保护 (消除无限循环)
|
||||
- 小红书 headless 模式修复
|
||||
- 扫码登录等待界面 (加载动画)
|
||||
- 抖音/B站登录策略优化 (Text优先)
|
||||
- 发布成功审核提示
|
||||
- 用户认证系统规划 (FastAPI+Supabase)
|
||||
- Supabase 表结构设计 (users/sessions)
|
||||
- 后端 JWT 认证实现 (auth.py/deps.py)
|
||||
- 数据库配置与 SQL 部署
|
||||
- 独立认证部署文档 (AUTH_DEPLOY.md)
|
||||
- 自动保活机制 (Crontab/Actions)
|
||||
- 部署稳定性优化 (Backend依赖修复)
|
||||
- 前端生产构建流程修复
|
||||
- LatentSync 严重卡顿修复 (线程数限制)
|
||||
- 部署手册全量更新
|
||||
|
||||
Day 10: HTTPS 部署与细节完善 ✅ 完成
|
||||
- 隧道访问视频修正 (挂载 uploads)
|
||||
- 账号列表 Bug 修复 (paths.py 白名单)
|
||||
- 阿里云 Nginx HTTPS 部署
|
||||
- UI 细节优化 (Title 更新)
|
||||
|
||||
Day 11: 上传架构重构 ✅ 完成
|
||||
- **核心修复**: Aliyun Nginx `client_max_body_size 0` 配置
|
||||
- 500 错误根治 (Direct Upload + Gateway Config)
|
||||
- Supabase RLS 权限策略部署
|
||||
- 前端集成 supabase-js
|
||||
- 彻底解决大文件上传超时 (30s 限制)
|
||||
- **用户数据隔离** (素材/视频/Cookie 按用户目录存储)
|
||||
- **Storage URL 修复** (SUPABASE_PUBLIC_URL 公网地址配置)
|
||||
- **发布服务优化** (本地文件直读，跳过 HTTP 下载)
|
||||
|
||||
Day 12: iOS 兼容与移动端优化 ✅ 完成
|
||||
- Axios 全局拦截器 (401/403 自动跳转登录)
|
||||
- iOS Safari 安全区域白边修复 (viewport-fit: cover)
|
||||
- themeColor 配置 (状态栏颜色适配)
|
||||
- 渐变背景统一 (body 全局渐变，消除分层)
|
||||
- 移动端 Header 响应式优化 (按钮紧凑布局)
|
||||
- 发布页面 UI 重构 (立即发布 3/4 + 定时 1/4)
|
||||
- **Qwen3-TTS 0.6B 部署** (声音克隆模型，GPU0)
|
||||
- **部署文档** (QWEN3_TTS_DEPLOY.md)
|
||||
## 📎 相关文档
|
||||
|
||||
- [详细开发日志 (DevLogs)](file:///d:/CodingProjects/Antigravity/ViGent2/Docs/DevLogs/)
|
||||
- [部署手册 (DEPLOY_MANUAL)](file:///d:/CodingProjects/Antigravity/ViGent2/Docs/DEPLOY_MANUAL.md)
|
||||
|
||||
213
README.md
213
README.md
@@ -1,34 +1,64 @@
|
||||
# ViGent2 - 数字人口播视频生成系统
|
||||
|
||||
基于 **LatentSync 1.6 + EdgeTTS** 的开源数字人口播视频生成系统。
|
||||
<div align="center">
|
||||
|
||||
> 📹 上传静态人物视频 → 🎙️ 输入口播文案 → 🎬 自动生成唇形同步视频
|
||||
> 📹 **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。
|
||||
|
||||
[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)
|
||||
|
||||
</div>
|
||||
|
||||
---
|
||||
|
||||
## ✨ 功能特性
|
||||
|
||||
- 🎬 **唇形同步** - LatentSync 1.6 驱动，512×512 高分辨率 Diffusion 模型
|
||||
- 🎙️ **TTS 配音** - EdgeTTS 多音色支持（云溪、晓晓等）
|
||||
- 📱 **全自动发布** - 扫码登录 + Cookie持久化，支持多平台(B站/抖音/小红书)定时发布
|
||||
- 🖥️ **Web UI** - Next.js 现代化界面，iOS/Android 移动端适配
|
||||
- 🔐 **用户系统** - Supabase + JWT 认证，支持管理员后台、注册/登录
|
||||
- 👥 **多用户隔离** - 素材/视频/Cookie 按用户独立存储，数据完全隔离
|
||||
- 🚀 **性能优化** - 视频预压缩、常驻模型服务 (0s加载)、本地文件直读
|
||||
### 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。
|
||||
- 🎵 **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。
|
||||
|
||||
### 平台化功能
|
||||
- 📱 **全自动发布** - 支持 B站、抖音、小红书定时发布，扫码登录 + Cookie 持久化。
|
||||
- 🔐 **企业级认证** - 完善的用户隔离系统 (Supabase)，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。
|
||||
- 🚀 **极致性能** - 视频预压缩、模型常驻服务 (0s加载)、双 GPU 流水线并发。
|
||||
|
||||
---
|
||||
|
||||
## 🛠️ 技术栈
|
||||
|
||||
| 模块 | 技术 |
|
||||
|------|------|
|
||||
| 前端 | Next.js 14 + TypeScript + TailwindCSS |
|
||||
| 后端 | FastAPI + Python 3.10 |
|
||||
| 数据库 | **Supabase** (PostgreSQL) 自托管 Docker |
|
||||
| 存储 | **Supabase Storage** (本地文件系统) |
|
||||
| 认证 | **JWT** + HttpOnly Cookie |
|
||||
| 唇形同步 | **LatentSync 1.6** (Latent Diffusion, 512×512) |
|
||||
| TTS | EdgeTTS |
|
||||
| 视频处理 | FFmpeg |
|
||||
| 自动发布 | Playwright |
|
||||
| 领域 | 核心技术 | 说明 |
|
||||
|------|----------|------|
|
||||
| **前端** | Next.js 14 | TypeScript, TailwindCSS, SWR |
|
||||
| **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 |
|
||||
| **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 |
|
||||
|
||||
---
|
||||
|
||||
## 📖 文档中心
|
||||
|
||||
我们提供了详尽的开发与部署文档：
|
||||
|
||||
### 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。
|
||||
- [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。
|
||||
|
||||
### 开发文档
|
||||
- [后端开发指南](Docs/BACKEND_README.md) - 接口规范与开发流程。
|
||||
- [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。
|
||||
|
||||
---
|
||||
|
||||
@@ -36,136 +66,33 @@
|
||||
|
||||
```
|
||||
ViGent2/
|
||||
├── backend/ # FastAPI 后端
|
||||
│ ├── app/
|
||||
│ │ ├── api/ # API 路由
|
||||
│ │ ├── services/ # 核心服务 (TTS, LipSync, Video)
|
||||
│ │ └── core/ # 配置
|
||||
│ ├── requirements.txt
|
||||
│ └── .env.example
|
||||
├── frontend/ # Next.js 前端
|
||||
│ └── src/app/
|
||||
├── models/ # AI 模型
|
||||
│ └── LatentSync/ # 唇形同步模型
|
||||
│ └── DEPLOY.md # LatentSync 部署指南
|
||||
└── Docs/ # 文档
|
||||
├── DEPLOY_MANUAL.md # 部署手册
|
||||
├── AUTH_DEPLOY.md # 认证部署指南
|
||||
├── task_complete.md
|
||||
└── DevLogs/
|
||||
├── 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
|
||||
├── frontend/ # Next.js 前端应用
|
||||
├── models/ # AI 模型仓库
|
||||
│ ├── LatentSync/ # 唇形同步服务
|
||||
│ └── Qwen3-TTS/ # 声音克隆服务
|
||||
└── Docs/ # 项目文档
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🚀 快速开始
|
||||
## 🌐 服务架构
|
||||
|
||||
### 1. 克隆项目
|
||||
系统采用微服务架构设计，各组件独立运行：
|
||||
|
||||
```bash
|
||||
git clone <仓库地址> /home/rongye/ProgramFiles/ViGent2
|
||||
cd /home/rongye/ProgramFiles/ViGent2
|
||||
```
|
||||
|
||||
### 2. 安装后端
|
||||
|
||||
```bash
|
||||
cd backend
|
||||
python -m venv venv
|
||||
source venv/bin/activate # Windows: venv\Scripts\activate
|
||||
pip install -r requirements.txt
|
||||
cp .env.example .env
|
||||
```
|
||||
|
||||
### 3. 安装前端
|
||||
|
||||
```bash
|
||||
cd frontend
|
||||
npm install
|
||||
```
|
||||
|
||||
### 4. 安装 LatentSync (服务器)
|
||||
|
||||
详见 [models/LatentSync/DEPLOY.md](models/LatentSync/DEPLOY.md)
|
||||
|
||||
```bash
|
||||
# 创建独立 Conda 环境
|
||||
conda create -n latentsync python=3.10.13
|
||||
conda activate latentsync
|
||||
|
||||
# 安装依赖并下载权重
|
||||
cd models/LatentSync
|
||||
pip install -r requirements.txt
|
||||
huggingface-cli download ByteDance/LatentSync-1.6 --local-dir checkpoints
|
||||
```
|
||||
|
||||
### 5. 启动服务
|
||||
|
||||
```bash
|
||||
# 终端 1: 后端 (端口 8006)
|
||||
cd backend && source venv/bin/activate
|
||||
uvicorn app.main:app --host 0.0.0.0 --port 8006
|
||||
|
||||
# 终端 2: 前端 (端口 3002)
|
||||
cd frontend
|
||||
npm run dev -- -p 3002
|
||||
|
||||
# 终端 3: LatentSync 服务 (端口 8007, 推荐启动)
|
||||
cd models/LatentSync
|
||||
nohup python -m scripts.server > server.log 2>&1 &
|
||||
```
|
||||
| 服务名称 | 端口 | 用途 |
|
||||
|----------|------|------|
|
||||
| **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 |
|
||||
| **Supabase** | 8008 | 数据库与认证网关 |
|
||||
|
||||
---
|
||||
|
||||
## 🖥️ 服务器配置
|
||||
## ⚖️ License
|
||||
|
||||
**目标服务器**: Dell PowerEdge R730
|
||||
|
||||
| 配置 | 规格 |
|
||||
|------|------|
|
||||
| CPU | 2× Intel Xeon E5-2680 v4 (56 线程) |
|
||||
| 内存 | 192GB DDR4 |
|
||||
| GPU | 2× NVIDIA RTX 3090 24GB |
|
||||
| 存储 | 4.47TB |
|
||||
|
||||
**GPU 分配**:
|
||||
- GPU 0: 其他服务
|
||||
- GPU 1: **LatentSync** 唇形同步 (~18GB VRAM)
|
||||
|
||||
---
|
||||
|
||||
## 🌐 访问地址
|
||||
|
||||
| 服务 | 地址 | 说明 |
|
||||
|------|------|------|
|
||||
| **视频生成 (UI)** | `https://vigent.hbyrkj.top` | 用户访问入口 |
|
||||
| **API 服务** | `http://<服务器IP>:8006` | 后端 Swagger |
|
||||
| **认证管理 (Studio)** | `https://supabase.hbyrkj.top` | 需要 Basic Auth |
|
||||
| **认证 API (Kong)** | `https://api.hbyrkj.top` | Supabase 接口 |
|
||||
| **模型服务** | `http://<服务器IP>:8007` | LatentSync |
|
||||
|
||||
---
|
||||
|
||||
## 📖 文档
|
||||
|
||||
- [手动部署指南](Docs/DEPLOY_MANUAL.md)
|
||||
- [Supabase 部署指南](Docs/SUPABASE_DEPLOY.md)
|
||||
- [LatentSync 部署指南](models/LatentSync/DEPLOY.md)
|
||||
- [开发日志](Docs/DevLogs/)
|
||||
- [任务进度](Docs/task_complete.md)
|
||||
|
||||
---
|
||||
|
||||
## 🆚 与 ViGent 的区别
|
||||
|
||||
| 特性 | ViGent (v1) | ViGent2 |
|
||||
|------|-------------|---------|
|
||||
| 唇形同步模型 | MuseTalk v1.5 | **LatentSync 1.6** |
|
||||
| 分辨率 | 256×256 | **512×512** |
|
||||
| 架构 | GAN | **Latent Diffusion** |
|
||||
| 视频预处理 | 无 | **自动压缩优化** |
|
||||
|
||||
---
|
||||
|
||||
## 📄 License
|
||||
|
||||
MIT
|
||||
[MIT License](LICENSE) © 2026 ViGent Team
|
||||
|
||||
@@ -20,16 +20,16 @@ LATENTSYNC_GPU_ID=1
|
||||
LATENTSYNC_LOCAL=true
|
||||
|
||||
# 使用常驻服务 (Persistent Server) 加速
|
||||
LATENTSYNC_USE_SERVER=false
|
||||
LATENTSYNC_USE_SERVER=true
|
||||
|
||||
# 远程 API 地址 (常驻服务默认端口 8007)
|
||||
# LATENTSYNC_API_URL=http://localhost:8007
|
||||
|
||||
# 推理步数 (20-50, 越高质量越好，速度越慢)
|
||||
LATENTSYNC_INFERENCE_STEPS=20
|
||||
LATENTSYNC_INFERENCE_STEPS=40
|
||||
|
||||
# 引导系数 (1.0-3.0, 越高唇同步越准，但可能抖动)
|
||||
LATENTSYNC_GUIDANCE_SCALE=1.5
|
||||
LATENTSYNC_GUIDANCE_SCALE=2.0
|
||||
|
||||
# 启用 DeepCache 加速 (推荐开启)
|
||||
LATENTSYNC_ENABLE_DEEPCACHE=true
|
||||
@@ -59,5 +59,10 @@ JWT_EXPIRE_HOURS=168
|
||||
|
||||
# =============== 管理员配置 ===============
|
||||
# 服务启动时自动创建的管理员账号
|
||||
ADMIN_EMAIL=lamnickdavid@gmail.com
|
||||
ADMIN_PHONE=15549380526
|
||||
ADMIN_PASSWORD=lam1988324
|
||||
|
||||
# =============== GLM AI 配置 ===============
|
||||
# 智谱 GLM API 配置 (用于生成标题和标签)
|
||||
GLM_API_KEY=32440cd3f3444d1f8fe721304acea8bd.YXNLrk7eIJMKcg4t
|
||||
GLM_MODEL=glm-4.7-flash
|
||||
|
||||
@@ -14,7 +14,7 @@ router = APIRouter(prefix="/api/admin", tags=["管理"])
|
||||
|
||||
class UserListItem(BaseModel):
|
||||
id: str
|
||||
email: str
|
||||
phone: str
|
||||
username: Optional[str]
|
||||
role: str
|
||||
is_active: bool
|
||||
@@ -36,7 +36,7 @@ async def list_users(admin: dict = Depends(get_current_admin)):
|
||||
return [
|
||||
UserListItem(
|
||||
id=u["id"],
|
||||
email=u["email"],
|
||||
phone=u["phone"],
|
||||
username=u.get("username"),
|
||||
role=u["role"],
|
||||
is_active=u["is_active"],
|
||||
@@ -87,7 +87,7 @@ async def activate_user(
|
||||
detail="用户不存在"
|
||||
)
|
||||
|
||||
logger.info(f"管理员 {admin['email']} 激活用户 {user_id}, 有效期: {request.expires_days or '永久'} 天")
|
||||
logger.info(f"管理员 {admin['phone']} 激活用户 {user_id}, 有效期: {request.expires_days or '永久'} 天")
|
||||
|
||||
return {
|
||||
"success": True,
|
||||
@@ -128,7 +128,7 @@ async def deactivate_user(
|
||||
# 清除用户 session
|
||||
supabase.table("user_sessions").delete().eq("user_id", user_id).execute()
|
||||
|
||||
logger.info(f"管理员 {admin['email']} 停用用户 {user_id}")
|
||||
logger.info(f"管理员 {admin['phone']} 停用用户 {user_id}")
|
||||
|
||||
return {"success": True, "message": "用户已停用"}
|
||||
except HTTPException:
|
||||
@@ -171,7 +171,7 @@ async def extend_user(
|
||||
"expires_at": expires_at
|
||||
}).eq("id", user_id).execute()
|
||||
|
||||
logger.info(f"管理员 {admin['email']} 延长用户 {user_id} 授权 {request.expires_days or '永久'} 天")
|
||||
logger.info(f"管理员 {admin['phone']} 延长用户 {user_id} 授权 {request.expires_days or '永久'} 天")
|
||||
|
||||
return {
|
||||
"success": True,
|
||||
|
||||
45
backend/app/api/ai.py
Normal file
45
backend/app/api/ai.py
Normal file
@@ -0,0 +1,45 @@
|
||||
"""
|
||||
AI 相关 API 路由
|
||||
"""
|
||||
|
||||
from fastapi import APIRouter, HTTPException
|
||||
from pydantic import BaseModel
|
||||
from loguru import logger
|
||||
|
||||
from app.services.glm_service import glm_service
|
||||
|
||||
|
||||
router = APIRouter(prefix="/api/ai", tags=["AI"])
|
||||
|
||||
|
||||
class GenerateMetaRequest(BaseModel):
|
||||
"""生成标题标签请求"""
|
||||
text: str
|
||||
|
||||
|
||||
class GenerateMetaResponse(BaseModel):
|
||||
"""生成标题标签响应"""
|
||||
title: str
|
||||
tags: list[str]
|
||||
|
||||
|
||||
@router.post("/generate-meta", response_model=GenerateMetaResponse)
|
||||
async def generate_meta(req: GenerateMetaRequest):
|
||||
"""
|
||||
AI 生成视频标题和标签
|
||||
|
||||
根据口播文案自动生成吸引人的标题和相关标签
|
||||
"""
|
||||
if not req.text or not req.text.strip():
|
||||
raise HTTPException(status_code=400, detail="口播文案不能为空")
|
||||
|
||||
try:
|
||||
logger.info(f"Generating meta for text: {req.text[:50]}...")
|
||||
result = await glm_service.generate_title_tags(req.text)
|
||||
return GenerateMetaResponse(
|
||||
title=result.get("title", ""),
|
||||
tags=result.get("tags", [])
|
||||
)
|
||||
except Exception as e:
|
||||
logger.error(f"Generate meta failed: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
22
backend/app/api/assets.py
Normal file
22
backend/app/api/assets.py
Normal file
@@ -0,0 +1,22 @@
|
||||
from fastapi import APIRouter, Depends
|
||||
|
||||
from app.core.deps import get_current_user
|
||||
from app.services.assets_service import list_styles, list_bgm
|
||||
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
|
||||
@router.get("/subtitle-styles")
|
||||
async def list_subtitle_styles(current_user: dict = Depends(get_current_user)):
|
||||
return {"styles": list_styles("subtitle")}
|
||||
|
||||
|
||||
@router.get("/title-styles")
|
||||
async def list_title_styles(current_user: dict = Depends(get_current_user)):
|
||||
return {"styles": list_styles("title")}
|
||||
|
||||
|
||||
@router.get("/bgm")
|
||||
async def list_bgm_items(current_user: dict = Depends(get_current_user)):
|
||||
return {"bgm": list_bgm()}
|
||||
@@ -1,8 +1,8 @@
|
||||
"""
|
||||
认证 API：注册、登录、登出
|
||||
认证 API：注册、登录、登出、修改密码
|
||||
"""
|
||||
from fastapi import APIRouter, HTTPException, Response, status, Request
|
||||
from pydantic import BaseModel, EmailStr
|
||||
from pydantic import BaseModel, field_validator
|
||||
from app.core.supabase import get_supabase
|
||||
from app.core.security import (
|
||||
get_password_hash,
|
||||
@@ -15,27 +15,55 @@ from app.core.security import (
|
||||
)
|
||||
from loguru import logger
|
||||
from typing import Optional
|
||||
import re
|
||||
|
||||
router = APIRouter(prefix="/api/auth", tags=["认证"])
|
||||
|
||||
|
||||
class RegisterRequest(BaseModel):
|
||||
email: EmailStr
|
||||
phone: str
|
||||
password: str
|
||||
username: Optional[str] = None
|
||||
|
||||
@field_validator('phone')
|
||||
@classmethod
|
||||
def validate_phone(cls, v):
|
||||
if not re.match(r'^\d{11}$', v):
|
||||
raise ValueError('手机号必须是11位数字')
|
||||
return v
|
||||
|
||||
|
||||
class LoginRequest(BaseModel):
|
||||
email: EmailStr
|
||||
phone: str
|
||||
password: str
|
||||
|
||||
@field_validator('phone')
|
||||
@classmethod
|
||||
def validate_phone(cls, v):
|
||||
if not re.match(r'^\d{11}$', v):
|
||||
raise ValueError('手机号必须是11位数字')
|
||||
return v
|
||||
|
||||
|
||||
class ChangePasswordRequest(BaseModel):
|
||||
old_password: str
|
||||
new_password: str
|
||||
|
||||
@field_validator('new_password')
|
||||
@classmethod
|
||||
def validate_new_password(cls, v):
|
||||
if len(v) < 6:
|
||||
raise ValueError('新密码长度至少6位')
|
||||
return v
|
||||
|
||||
|
||||
class UserResponse(BaseModel):
|
||||
id: str
|
||||
email: str
|
||||
phone: str
|
||||
username: Optional[str]
|
||||
role: str
|
||||
is_active: bool
|
||||
expires_at: Optional[str] = None
|
||||
|
||||
|
||||
@router.post("/register")
|
||||
@@ -48,29 +76,29 @@ async def register(request: RegisterRequest):
|
||||
try:
|
||||
supabase = get_supabase()
|
||||
|
||||
# 检查邮箱是否已存在
|
||||
# 检查手机号是否已存在
|
||||
existing = supabase.table("users").select("id").eq(
|
||||
"email", request.email
|
||||
"phone", request.phone
|
||||
).execute()
|
||||
|
||||
if existing.data:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail="该邮箱已注册"
|
||||
detail="该手机号已注册"
|
||||
)
|
||||
|
||||
# 创建用户
|
||||
password_hash = get_password_hash(request.password)
|
||||
|
||||
result = supabase.table("users").insert({
|
||||
"email": request.email,
|
||||
"phone": request.phone,
|
||||
"password_hash": password_hash,
|
||||
"username": request.username or request.email.split("@")[0],
|
||||
"username": request.username or f"用户{request.phone[-4:]}",
|
||||
"role": "pending",
|
||||
"is_active": False
|
||||
}).execute()
|
||||
|
||||
logger.info(f"新用户注册: {request.email}")
|
||||
logger.info(f"新用户注册: {request.phone}")
|
||||
|
||||
return {
|
||||
"success": True,
|
||||
@@ -100,21 +128,21 @@ async def login(request: LoginRequest, response: Response):
|
||||
|
||||
# 查找用户
|
||||
user_result = supabase.table("users").select("*").eq(
|
||||
"email", request.email
|
||||
"phone", request.phone
|
||||
).single().execute()
|
||||
|
||||
user = user_result.data
|
||||
if not user:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail="邮箱或密码错误"
|
||||
detail="手机号或密码错误"
|
||||
)
|
||||
|
||||
# 验证密码
|
||||
if not verify_password(request.password, user["password_hash"]):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail="邮箱或密码错误"
|
||||
detail="手机号或密码错误"
|
||||
)
|
||||
|
||||
# 检查是否激活
|
||||
@@ -154,17 +182,18 @@ async def login(request: LoginRequest, response: Response):
|
||||
# 设置 HttpOnly Cookie
|
||||
set_auth_cookie(response, token)
|
||||
|
||||
logger.info(f"用户登录: {request.email}")
|
||||
logger.info(f"用户登录: {request.phone}")
|
||||
|
||||
return {
|
||||
"success": True,
|
||||
"message": "登录成功",
|
||||
"user": UserResponse(
|
||||
id=user["id"],
|
||||
email=user["email"],
|
||||
phone=user["phone"],
|
||||
username=user.get("username"),
|
||||
role=user["role"],
|
||||
is_active=user["is_active"]
|
||||
is_active=user["is_active"],
|
||||
expires_at=user.get("expires_at")
|
||||
)
|
||||
}
|
||||
except HTTPException:
|
||||
@@ -184,6 +213,91 @@ async def logout(response: Response):
|
||||
return {"success": True, "message": "已登出"}
|
||||
|
||||
|
||||
@router.post("/change-password")
|
||||
async def change_password(request: ChangePasswordRequest, req: Request, response: Response):
|
||||
"""
|
||||
修改密码
|
||||
|
||||
- 验证当前密码
|
||||
- 设置新密码
|
||||
- 重新生成 session token
|
||||
"""
|
||||
# 从 Cookie 获取用户
|
||||
token = req.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"
|
||||
)
|
||||
|
||||
try:
|
||||
supabase = get_supabase()
|
||||
|
||||
# 获取用户信息
|
||||
user_result = supabase.table("users").select("*").eq(
|
||||
"id", token_data.user_id
|
||||
).single().execute()
|
||||
|
||||
user = user_result.data
|
||||
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"]):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail="当前密码错误"
|
||||
)
|
||||
|
||||
# 更新密码
|
||||
new_password_hash = get_password_hash(request.new_password)
|
||||
supabase.table("users").update({
|
||||
"password_hash": new_password_hash
|
||||
}).eq("id", user["id"]).execute()
|
||||
|
||||
# 生成新的 session token，使旧 token 失效
|
||||
new_session_token = generate_session_token()
|
||||
|
||||
supabase.table("user_sessions").delete().eq(
|
||||
"user_id", user["id"]
|
||||
).execute()
|
||||
|
||||
supabase.table("user_sessions").insert({
|
||||
"user_id": user["id"],
|
||||
"session_token": new_session_token,
|
||||
"device_info": None
|
||||
}).execute()
|
||||
|
||||
# 生成新的 JWT Token
|
||||
new_token = create_access_token(user["id"], new_session_token)
|
||||
set_auth_cookie(response, new_token)
|
||||
|
||||
logger.info(f"用户修改密码: {user['phone']}")
|
||||
|
||||
return {
|
||||
"success": True,
|
||||
"message": "密码修改成功"
|
||||
}
|
||||
except HTTPException:
|
||||
raise
|
||||
except Exception as e:
|
||||
logger.error(f"修改密码失败: {e}")
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
||||
detail="修改密码失败，请稍后重试"
|
||||
)
|
||||
|
||||
|
||||
@router.get("/me")
|
||||
async def get_me(request: Request):
|
||||
"""获取当前用户信息"""
|
||||
@@ -216,8 +330,9 @@ async def get_me(request: Request):
|
||||
|
||||
return UserResponse(
|
||||
id=user["id"],
|
||||
email=user["email"],
|
||||
phone=user["phone"],
|
||||
username=user.get("username"),
|
||||
role=user["role"],
|
||||
is_active=user["is_active"]
|
||||
is_active=user["is_active"],
|
||||
expires_at=user.get("expires_at")
|
||||
)
|
||||
|
||||
@@ -9,6 +9,10 @@ import os
|
||||
import aiofiles
|
||||
from pathlib import Path
|
||||
from loguru import logger
|
||||
from pydantic import BaseModel
|
||||
from typing import Optional
|
||||
import httpx
|
||||
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
@@ -329,3 +333,6 @@ async def delete_material(material_id: str, current_user: dict = Depends(get_cur
|
||||
return {"success": True, "message": "素材已删除"}
|
||||
except Exception as e:
|
||||
raise HTTPException(500, f"删除失败: {str(e)}")
|
||||
|
||||
|
||||
|
||||
|
||||
411
backend/app/api/ref_audios.py
Normal file
411
backend/app/api/ref_audios.py
Normal file
@@ -0,0 +1,411 @@
|
||||
"""
|
||||
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
|
||||
"""
|
||||
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
|
||||
|
||||
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("", response_model=RefAudioResponse)
|
||||
async def upload_ref_audio(
|
||||
file: UploadFile = File(...),
|
||||
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"]
|
||||
|
||||
# 验证文件扩展名
|
||||
ext = Path(file.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")
|
||||
|
||||
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 = file.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(file.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 RefAudioResponse(
|
||||
id=storage_path,
|
||||
name=file.filename,
|
||||
path=signed_url,
|
||||
ref_text=ref_text.strip(),
|
||||
duration_sec=duration,
|
||||
created_at=timestamp
|
||||
)
|
||||
|
||||
except HTTPException:
|
||||
raise
|
||||
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)}")
|
||||
|
||||
|
||||
@router.get("", response_model=RefAudioListResponse)
|
||||
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 文件并获取对应的 metadata
|
||||
items = []
|
||||
for f in files:
|
||||
name = f.get("name", "")
|
||||
if not name.endswith(".wav"):
|
||||
continue
|
||||
|
||||
storage_path = f"{user_id}/{name}"
|
||||
|
||||
# 尝试读取 metadata
|
||||
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() 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.warning(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)
|
||||
|
||||
items.append(RefAudioResponse(
|
||||
id=storage_path,
|
||||
name=display_name,
|
||||
path=signed_url,
|
||||
ref_text=ref_text,
|
||||
duration_sec=duration_sec,
|
||||
created_at=created_at
|
||||
))
|
||||
|
||||
# 按创建时间倒序排列
|
||||
items.sort(key=lambda x: x.created_at, reverse=True)
|
||||
|
||||
return RefAudioListResponse(items=items)
|
||||
|
||||
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)}")
|
||||
|
||||
|
||||
@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
|
||||
|
||||
return {"success": True, "message": "删除成功"}
|
||||
|
||||
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"
|
||||
|
||||
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": True, "name": new_name}
|
||||
|
||||
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)}")
|
||||
398
backend/app/api/tools.py
Normal file
398
backend/app/api/tools.py
Normal file
@@ -0,0 +1,398 @@
|
||||
from fastapi import APIRouter, UploadFile, File, Form, HTTPException
|
||||
from typing import Optional
|
||||
import shutil
|
||||
import os
|
||||
import time
|
||||
from pathlib import Path
|
||||
from loguru import logger
|
||||
import traceback
|
||||
import re
|
||||
import json
|
||||
import requests
|
||||
from urllib.parse import unquote
|
||||
|
||||
from app.services.whisper_service import whisper_service
|
||||
from app.services.glm_service import glm_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)
|
||||
):
|
||||
"""
|
||||
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
|
||||
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:
|
||||
safe_filename = Path(file.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:
|
||||
# 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)
|
||||
if url_match:
|
||||
extracted_url = url_match.group(0)
|
||||
logger.info(f"Extracted URL from text: {extracted_url}")
|
||||
url = extracted_url
|
||||
|
||||
logger.info(f"Tool downloading URL: {url}")
|
||||
|
||||
# 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(ydl_opts) as ydl:
|
||||
info = ydl.extract_info(url, 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:
|
||||
manual_path = await download_douyin_manual(url, 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:
|
||||
manual_path = await download_bilibili_manual(url, 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": True,
|
||||
"original_script": script,
|
||||
"rewritten_script": rewritten
|
||||
}
|
||||
|
||||
except HTTPException as he:
|
||||
raise he
|
||||
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
|
||||
"""
|
||||
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
|
||||
resp = requests.get(url, headers=headers, allow_redirects=True, timeout=10)
|
||||
final_url = 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. 使用硬编码 Cookie (Copy from SuperIPAgent)
|
||||
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": "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",
|
||||
"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...")
|
||||
# 必须 verify=False 否则有些环境会报错
|
||||
response = requests.get(target_url, headers=headers_with_cookie, timeout=10)
|
||||
|
||||
# 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)
|
||||
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',
|
||||
}
|
||||
|
||||
dl_resp = requests.get(video_url, headers=download_headers, stream=True, timeout=60)
|
||||
if dl_resp.status_code == 200:
|
||||
with open(temp_path, 'wb') as f:
|
||||
for chunk in dl_resp.iter_content(chunk_size=1024):
|
||||
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()
|
||||
@@ -8,10 +8,19 @@ import traceback
|
||||
import time
|
||||
import httpx
|
||||
import os
|
||||
from app.services.tts_service import TTSService
|
||||
from app.services.video_service import VideoService
|
||||
from app.services.lipsync_service import LipSyncService
|
||||
from app.services.storage import storage_service
|
||||
from app.services.tts_service import TTSService
|
||||
from app.services.video_service import VideoService
|
||||
from app.services.lipsync_service import LipSyncService
|
||||
from app.services.voice_clone_service import voice_clone_service
|
||||
from app.services.assets_service import (
|
||||
get_style,
|
||||
get_default_style,
|
||||
resolve_bgm_path,
|
||||
prepare_style_for_remotion,
|
||||
)
|
||||
from app.services.storage import storage_service
|
||||
from app.services.whisper_service import whisper_service
|
||||
from app.services.remotion_service import remotion_service
|
||||
from app.core.config import settings
|
||||
from app.core.deps import get_current_user
|
||||
|
||||
@@ -21,6 +30,19 @@ class GenerateRequest(BaseModel):
|
||||
text: str
|
||||
voice: str = "zh-CN-YunxiNeural"
|
||||
material_path: str
|
||||
# 声音克隆模式新增字段
|
||||
tts_mode: str = "edgetts" # "edgetts" | "voiceclone"
|
||||
ref_audio_id: Optional[str] = None # 参考音频 storage path
|
||||
ref_text: Optional[str] = None # 参考音频的转写文字
|
||||
# 字幕和标题功能
|
||||
title: Optional[str] = None # 视频标题（片头显示）
|
||||
enable_subtitles: bool = True # 是否启用逐字高亮字幕
|
||||
subtitle_style_id: Optional[str] = None # 字幕样式 ID
|
||||
title_style_id: Optional[str] = None # 标题样式 ID
|
||||
subtitle_font_size: Optional[int] = None # 字幕字号（覆盖样式）
|
||||
title_font_size: Optional[int] = None # 标题字号（覆盖样式）
|
||||
bgm_id: Optional[str] = None # 背景音乐 ID
|
||||
bgm_volume: Optional[float] = 0.2 # 背景音乐音量 (0-1)
|
||||
|
||||
tasks = {} # In-memory task store
|
||||
|
||||
@@ -42,15 +64,15 @@ async def _check_lipsync_ready(force: bool = False) -> bool:
|
||||
|
||||
now = time.time()
|
||||
# 5分钟缓存
|
||||
if not force and _lipsync_ready is not None and (now - _lipsync_last_check) < 300:
|
||||
return _lipsync_ready
|
||||
if not force and _lipsync_ready is not None and (now - _lipsync_last_check) < 300:
|
||||
return bool(_lipsync_ready)
|
||||
|
||||
lipsync = _get_lipsync_service()
|
||||
health = await lipsync.check_health()
|
||||
_lipsync_ready = health.get("ready", False)
|
||||
_lipsync_last_check = now
|
||||
print(f"[LipSync] Health check: ready={_lipsync_ready}")
|
||||
return _lipsync_ready
|
||||
return bool(_lipsync_ready)
|
||||
|
||||
async def _download_material(path_or_url: str, temp_path: Path):
|
||||
"""下载素材到临时文件 (流式下载，节省内存)"""
|
||||
@@ -95,13 +117,42 @@ async def _process_video_generation(task_id: str, req: GenerateRequest, user_id:
|
||||
await _download_material(req.material_path, input_material_path)
|
||||
|
||||
# 1. TTS - 进度 5% -> 25%
|
||||
tasks[task_id]["message"] = "正在生成语音 (TTS)..."
|
||||
tasks[task_id]["message"] = "正在生成语音..."
|
||||
tasks[task_id]["progress"] = 10
|
||||
|
||||
tts = TTSService()
|
||||
audio_path = temp_dir / f"{task_id}_audio.mp3"
|
||||
audio_path = temp_dir / f"{task_id}_audio.wav"
|
||||
temp_files.append(audio_path)
|
||||
await tts.generate_audio(req.text, req.voice, str(audio_path))
|
||||
|
||||
if req.tts_mode == "voiceclone":
|
||||
# 声音克隆模式
|
||||
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")
|
||||
|
||||
tasks[task_id]["message"] = "正在下载参考音频..."
|
||||
|
||||
# 从 Supabase 下载参考音频
|
||||
ref_audio_local = temp_dir / f"{task_id}_ref.wav"
|
||||
temp_files.append(ref_audio_local)
|
||||
|
||||
ref_audio_url = await storage_service.get_signed_url(
|
||||
bucket="ref-audios",
|
||||
path=req.ref_audio_id
|
||||
)
|
||||
await _download_material(ref_audio_url, ref_audio_local)
|
||||
|
||||
tasks[task_id]["message"] = "正在克隆声音 (Qwen3-TTS)..."
|
||||
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"
|
||||
)
|
||||
else:
|
||||
# EdgeTTS 模式 (默认)
|
||||
tasks[task_id]["message"] = "正在生成语音 (EdgeTTS)..."
|
||||
tts = TTSService()
|
||||
await tts.generate_audio(req.text, req.voice, str(audio_path))
|
||||
|
||||
tts_time = time.time() - start_time
|
||||
print(f"[Pipeline] TTS completed in {tts_time:.1f}s")
|
||||
@@ -133,17 +184,139 @@ async def _process_video_generation(task_id: str, req: GenerateRequest, user_id:
|
||||
|
||||
lipsync_time = time.time() - lipsync_start
|
||||
print(f"[Pipeline] LipSync completed in {lipsync_time:.1f}s")
|
||||
tasks[task_id]["progress"] = 85
|
||||
tasks[task_id]["progress"] = 80
|
||||
|
||||
# 3. Composition - 进度 85% -> 100%
|
||||
tasks[task_id]["message"] = "正在合成最终视频..."
|
||||
tasks[task_id]["progress"] = 90
|
||||
# 3. WhisperX 字幕对齐 - 进度 80% -> 85%
|
||||
captions_path = None
|
||||
if req.enable_subtitles:
|
||||
tasks[task_id]["message"] = "正在生成字幕 (Whisper)..."
|
||||
tasks[task_id]["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)
|
||||
)
|
||||
print(f"[Pipeline] Whisper alignment completed")
|
||||
except Exception as e:
|
||||
logger.warning(f"Whisper alignment failed, skipping subtitles: {e}")
|
||||
captions_path = None
|
||||
|
||||
tasks[task_id]["progress"] = 85
|
||||
|
||||
# 3.5 背景音乐混音（不影响唇形与字幕对齐）
|
||||
video = VideoService()
|
||||
final_audio_path = audio_path
|
||||
if req.bgm_id:
|
||||
tasks[task_id]["message"] = "正在合成背景音乐..."
|
||||
tasks[task_id]["progress"] = 86
|
||||
|
||||
bgm_path = resolve_bgm_path(req.bgm_id)
|
||||
if bgm_path:
|
||||
mix_output_path = temp_dir / f"{task_id}_audio_mix.wav"
|
||||
temp_files.append(mix_output_path)
|
||||
volume = req.bgm_volume if req.bgm_volume is not None else 0.2
|
||||
volume = max(0.0, min(float(volume), 1.0))
|
||||
try:
|
||||
video.mix_audio(
|
||||
voice_path=str(audio_path),
|
||||
bgm_path=str(bgm_path),
|
||||
output_path=str(mix_output_path),
|
||||
bgm_volume=volume
|
||||
)
|
||||
final_audio_path = mix_output_path
|
||||
except Exception as e:
|
||||
logger.warning(f"BGM mix failed, fallback to voice only: {e}")
|
||||
else:
|
||||
logger.warning(f"BGM not found: {req.bgm_id}")
|
||||
|
||||
# 4. Remotion 视频合成（字幕 + 标题）- 进度 85% -> 95%
|
||||
# 判断是否需要使用 Remotion（有字幕或标题时使用）
|
||||
use_remotion = (captions_path and captions_path.exists()) or req.title
|
||||
|
||||
subtitle_style = None
|
||||
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.subtitle_font_size and req.enable_subtitles:
|
||||
if subtitle_style is None:
|
||||
subtitle_style = {}
|
||||
subtitle_style["font_size"] = int(req.subtitle_font_size)
|
||||
|
||||
if req.title_font_size and req.title:
|
||||
if title_style is None:
|
||||
title_style = {}
|
||||
title_style["font_size"] = int(req.title_font_size)
|
||||
|
||||
if use_remotion:
|
||||
subtitle_style = prepare_style_for_remotion(
|
||||
subtitle_style,
|
||||
temp_dir,
|
||||
f"{task_id}_subtitle_font"
|
||||
)
|
||||
title_style = prepare_style_for_remotion(
|
||||
title_style,
|
||||
temp_dir,
|
||||
f"{task_id}_title_font"
|
||||
)
|
||||
|
||||
video = VideoService()
|
||||
final_output_local_path = temp_dir / f"{task_id}_output.mp4"
|
||||
temp_files.append(final_output_local_path)
|
||||
|
||||
await video.compose(str(lipsync_video_path), str(audio_path), str(final_output_local_path))
|
||||
if use_remotion:
|
||||
tasks[task_id]["message"] = "正在合成视频 (Remotion)..."
|
||||
tasks[task_id]["progress"] = 87
|
||||
|
||||
# 先用 FFmpeg 合成音视频（Remotion 需要带音频的视频）
|
||||
composed_video_path = temp_dir / f"{task_id}_composed.mp4"
|
||||
temp_files.append(composed_video_path)
|
||||
|
||||
await video.compose(str(lipsync_video_path), str(final_audio_path), str(composed_video_path))
|
||||
|
||||
# 检查 Remotion 是否可用
|
||||
remotion_health = await remotion_service.check_health()
|
||||
if remotion_health.get("ready"):
|
||||
try:
|
||||
def on_remotion_progress(percent):
|
||||
# 映射 Remotion 进度到 87-95%
|
||||
mapped = 87 + int(percent * 0.08)
|
||||
tasks[task_id]["progress"] = mapped
|
||||
|
||||
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,
|
||||
fps=25,
|
||||
enable_subtitles=req.enable_subtitles,
|
||||
subtitle_style=subtitle_style,
|
||||
title_style=title_style,
|
||||
on_progress=on_remotion_progress
|
||||
)
|
||||
print(f"[Pipeline] Remotion render completed")
|
||||
except Exception as e:
|
||||
logger.warning(f"Remotion render failed, using FFmpeg fallback: {e}")
|
||||
# 回退到 FFmpeg 合成
|
||||
import shutil
|
||||
shutil.copy(str(composed_video_path), final_output_local_path)
|
||||
else:
|
||||
logger.warning(f"Remotion not ready: {remotion_health.get('error')}, using FFmpeg")
|
||||
import shutil
|
||||
shutil.copy(str(composed_video_path), final_output_local_path)
|
||||
else:
|
||||
# 不需要字幕和标题，直接用 FFmpeg 合成
|
||||
tasks[task_id]["message"] = "正在合成最终视频..."
|
||||
tasks[task_id]["progress"] = 90
|
||||
|
||||
await video.compose(str(lipsync_video_path), str(final_audio_path), str(final_output_local_path))
|
||||
|
||||
total_time = time.time() - start_time
|
||||
|
||||
@@ -217,6 +390,12 @@ async def lipsync_health():
|
||||
return await lipsync.check_health()
|
||||
|
||||
|
||||
@router.get("/voiceclone/health")
|
||||
async def voiceclone_health():
|
||||
"""获取声音克隆服务健康状态"""
|
||||
return await voice_clone_service.check_health()
|
||||
|
||||
|
||||
@router.get("/generated")
|
||||
async def list_generated_videos(current_user: dict = Depends(get_current_user)):
|
||||
"""从 Storage 读取当前用户生成的视频列表"""
|
||||
|
||||
@@ -3,9 +3,10 @@ from pathlib import Path
|
||||
|
||||
class Settings(BaseSettings):
|
||||
# 基础路径配置
|
||||
BASE_DIR: Path = Path(__file__).resolve().parent.parent
|
||||
UPLOAD_DIR: Path = BASE_DIR.parent / "uploads"
|
||||
OUTPUT_DIR: Path = BASE_DIR.parent / "outputs"
|
||||
BASE_DIR: Path = Path(__file__).resolve().parent.parent
|
||||
UPLOAD_DIR: Path = BASE_DIR.parent / "uploads"
|
||||
OUTPUT_DIR: Path = BASE_DIR.parent / "outputs"
|
||||
ASSETS_DIR: Path = BASE_DIR.parent / "assets"
|
||||
|
||||
# 数据库/缓存
|
||||
REDIS_URL: str = "redis://localhost:6379/0"
|
||||
@@ -22,9 +23,8 @@ class Settings(BaseSettings):
|
||||
LATENTSYNC_INFERENCE_STEPS: int = 20 # 推理步数 [20-50]
|
||||
LATENTSYNC_GUIDANCE_SCALE: float = 1.5 # 引导系数 [1.0-3.0]
|
||||
LATENTSYNC_ENABLE_DEEPCACHE: bool = True # 启用 DeepCache 加速
|
||||
LATENTSYNC_ENABLE_DEEPCACHE: bool = True # 启用 DeepCache 加速
|
||||
LATENTSYNC_SEED: int = 1247 # 随机种子 (-1 则随机)
|
||||
LATENTSYNC_USE_SERVER: bool = False # 使用常驻服务 (Persistent Server) 加速
|
||||
LATENTSYNC_USE_SERVER: bool = True # 使用常驻服务 (Persistent Server) 加速
|
||||
|
||||
# Supabase 配置
|
||||
SUPABASE_URL: str = ""
|
||||
@@ -37,9 +37,13 @@ class Settings(BaseSettings):
|
||||
JWT_EXPIRE_HOURS: int = 24
|
||||
|
||||
# 管理员配置
|
||||
ADMIN_EMAIL: str = ""
|
||||
ADMIN_PHONE: str = ""
|
||||
ADMIN_PASSWORD: str = ""
|
||||
|
||||
# GLM AI 配置
|
||||
GLM_API_KEY: str = ""
|
||||
GLM_MODEL: str = "glm-4.7-flash"
|
||||
|
||||
@property
|
||||
def LATENTSYNC_DIR(self) -> Path:
|
||||
"""LatentSync 目录路径 (动态计算)"""
|
||||
|
||||
@@ -2,7 +2,7 @@ from fastapi import FastAPI
|
||||
from fastapi.staticfiles import StaticFiles
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from app.core import config
|
||||
from app.api import materials, videos, publish, login_helper, auth, admin
|
||||
from app.api import materials, videos, publish, login_helper, auth, admin, ref_audios, ai, tools, assets
|
||||
from loguru import logger
|
||||
import os
|
||||
|
||||
@@ -41,12 +41,14 @@ app.add_middleware(
|
||||
)
|
||||
|
||||
# Create dirs
|
||||
settings.UPLOAD_DIR.mkdir(parents=True, exist_ok=True)
|
||||
settings.OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
|
||||
(settings.UPLOAD_DIR / "materials").mkdir(exist_ok=True)
|
||||
settings.UPLOAD_DIR.mkdir(parents=True, exist_ok=True)
|
||||
settings.OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
|
||||
(settings.UPLOAD_DIR / "materials").mkdir(exist_ok=True)
|
||||
settings.ASSETS_DIR.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
app.mount("/outputs", StaticFiles(directory=str(settings.OUTPUT_DIR)), name="outputs")
|
||||
app.mount("/uploads", StaticFiles(directory=str(settings.UPLOAD_DIR)), name="uploads")
|
||||
app.mount("/outputs", StaticFiles(directory=str(settings.OUTPUT_DIR)), name="outputs")
|
||||
app.mount("/uploads", StaticFiles(directory=str(settings.UPLOAD_DIR)), name="uploads")
|
||||
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"])
|
||||
@@ -55,6 +57,10 @@ 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.on_event("startup")
|
||||
@@ -62,11 +68,11 @@ async def init_admin():
|
||||
"""
|
||||
服务启动时初始化管理员账号
|
||||
"""
|
||||
admin_email = settings.ADMIN_EMAIL
|
||||
admin_phone = settings.ADMIN_PHONE
|
||||
admin_password = settings.ADMIN_PASSWORD
|
||||
|
||||
if not admin_email or not admin_password:
|
||||
logger.warning("未配置 ADMIN_EMAIL 和 ADMIN_PASSWORD，跳过管理员初始化")
|
||||
if not admin_phone or not admin_password:
|
||||
logger.warning("未配置 ADMIN_PHONE 和 ADMIN_PASSWORD，跳过管理员初始化")
|
||||
return
|
||||
|
||||
try:
|
||||
@@ -76,15 +82,15 @@ async def init_admin():
|
||||
supabase = get_supabase()
|
||||
|
||||
# 检查是否已存在
|
||||
existing = supabase.table("users").select("id").eq("email", admin_email).execute()
|
||||
existing = supabase.table("users").select("id").eq("phone", admin_phone).execute()
|
||||
|
||||
if existing.data:
|
||||
logger.info(f"管理员账号已存在: {admin_email}")
|
||||
logger.info(f"管理员账号已存在: {admin_phone}")
|
||||
return
|
||||
|
||||
# 创建管理员
|
||||
supabase.table("users").insert({
|
||||
"email": admin_email,
|
||||
"phone": admin_phone,
|
||||
"password_hash": get_password_hash(admin_password),
|
||||
"username": "Admin",
|
||||
"role": "admin",
|
||||
@@ -92,7 +98,7 @@ async def init_admin():
|
||||
"expires_at": None # 永不过期
|
||||
}).execute()
|
||||
|
||||
logger.success(f"管理员账号已创建: {admin_email}")
|
||||
logger.success(f"管理员账号已创建: {admin_phone}")
|
||||
except Exception as e:
|
||||
logger.error(f"初始化管理员失败: {e}")
|
||||
|
||||
|
||||
128
backend/app/services/assets_service.py
Normal file
128
backend/app/services/assets_service.py
Normal file
@@ -0,0 +1,128 @@
|
||||
import json
|
||||
import shutil
|
||||
from pathlib import Path
|
||||
from typing import Optional, List, Dict, Any
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from app.core.config import settings
|
||||
|
||||
|
||||
BGM_EXTENSIONS = {".wav", ".mp3", ".m4a", ".aac", ".flac", ".ogg", ".webm"}
|
||||
|
||||
|
||||
def _style_file_path(style_type: str) -> Path:
|
||||
return settings.ASSETS_DIR / "styles" / f"{style_type}.json"
|
||||
|
||||
|
||||
def _load_style_file(style_type: str) -> List[Dict[str, Any]]:
|
||||
style_path = _style_file_path(style_type)
|
||||
if not style_path.exists():
|
||||
return []
|
||||
try:
|
||||
with open(style_path, "r", encoding="utf-8") as f:
|
||||
data = json.load(f)
|
||||
if isinstance(data, list):
|
||||
return data
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to load style file {style_path}: {e}")
|
||||
return []
|
||||
|
||||
|
||||
def list_styles(style_type: str) -> List[Dict[str, Any]]:
|
||||
return _load_style_file(style_type)
|
||||
|
||||
|
||||
def get_style(style_type: str, style_id: Optional[str]) -> Optional[Dict[str, Any]]:
|
||||
if not style_id:
|
||||
return None
|
||||
for item in _load_style_file(style_type):
|
||||
if item.get("id") == style_id:
|
||||
return item
|
||||
return None
|
||||
|
||||
|
||||
def get_default_style(style_type: str) -> Optional[Dict[str, Any]]:
|
||||
styles = _load_style_file(style_type)
|
||||
if not styles:
|
||||
return None
|
||||
for item in styles:
|
||||
if item.get("is_default"):
|
||||
return item
|
||||
return styles[0]
|
||||
|
||||
|
||||
def list_bgm() -> List[Dict[str, Any]]:
|
||||
bgm_root = settings.ASSETS_DIR / "bgm"
|
||||
if not bgm_root.exists():
|
||||
return []
|
||||
|
||||
items: List[Dict[str, Any]] = []
|
||||
for path in bgm_root.rglob("*"):
|
||||
if not path.is_file():
|
||||
continue
|
||||
if path.suffix.lower() not in BGM_EXTENSIONS:
|
||||
continue
|
||||
rel = path.relative_to(bgm_root).as_posix()
|
||||
items.append({
|
||||
"id": rel,
|
||||
"name": path.stem,
|
||||
"ext": path.suffix.lower().lstrip(".")
|
||||
})
|
||||
|
||||
items.sort(key=lambda x: x.get("name", ""))
|
||||
return items
|
||||
|
||||
|
||||
def resolve_bgm_path(bgm_id: str) -> Optional[Path]:
|
||||
if not bgm_id:
|
||||
return None
|
||||
bgm_root = settings.ASSETS_DIR / "bgm"
|
||||
candidate = (bgm_root / bgm_id).resolve()
|
||||
try:
|
||||
candidate.relative_to(bgm_root.resolve())
|
||||
except ValueError:
|
||||
return None
|
||||
if candidate.exists() and candidate.is_file():
|
||||
return candidate
|
||||
return None
|
||||
|
||||
|
||||
def prepare_style_for_remotion(
|
||||
style: Optional[Dict[str, Any]],
|
||||
temp_dir: Path,
|
||||
prefix: str
|
||||
) -> Optional[Dict[str, Any]]:
|
||||
if not style:
|
||||
return None
|
||||
|
||||
prepared = dict(style)
|
||||
font_file = prepared.get("font_file")
|
||||
if not font_file:
|
||||
return prepared
|
||||
|
||||
source_font = (settings.ASSETS_DIR / "fonts" / font_file).resolve()
|
||||
try:
|
||||
source_font.relative_to((settings.ASSETS_DIR / "fonts").resolve())
|
||||
except ValueError:
|
||||
logger.warning(f"Font path outside assets: {font_file}")
|
||||
return prepared
|
||||
|
||||
if not source_font.exists():
|
||||
logger.warning(f"Font file missing: {source_font}")
|
||||
return prepared
|
||||
|
||||
temp_dir.mkdir(parents=True, exist_ok=True)
|
||||
ext = source_font.suffix.lower()
|
||||
target_name = f"{prefix}{ext}"
|
||||
target_path = temp_dir / target_name
|
||||
|
||||
try:
|
||||
shutil.copy(source_font, target_path)
|
||||
prepared["font_file"] = target_name
|
||||
if not prepared.get("font_family"):
|
||||
prepared["font_family"] = prefix
|
||||
except Exception as e:
|
||||
logger.warning(f"Failed to copy font {source_font} -> {target_path}: {e}")
|
||||
|
||||
return prepared
|
||||
146
backend/app/services/glm_service.py
Normal file
146
backend/app/services/glm_service.py
Normal file
@@ -0,0 +1,146 @@
|
||||
"""
|
||||
GLM AI 服务
|
||||
使用智谱 GLM 生成标题和标签
|
||||
"""
|
||||
|
||||
import json
|
||||
import re
|
||||
from loguru import logger
|
||||
from zai import ZhipuAiClient
|
||||
|
||||
from app.core.config import settings
|
||||
|
||||
|
||||
class GLMService:
|
||||
"""GLM AI 服务"""
|
||||
|
||||
def __init__(self):
|
||||
self.client = None
|
||||
|
||||
def _get_client(self):
|
||||
"""获取或创建 ZhipuAI 客户端"""
|
||||
if self.client is None:
|
||||
if not settings.GLM_API_KEY:
|
||||
raise Exception("GLM_API_KEY 未配置")
|
||||
self.client = ZhipuAiClient(api_key=settings.GLM_API_KEY)
|
||||
return self.client
|
||||
|
||||
async def generate_title_tags(self, text: str) -> dict:
|
||||
"""
|
||||
根据口播文案生成标题和标签
|
||||
|
||||
Args:
|
||||
text: 口播文案
|
||||
|
||||
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。
|
||||
|
||||
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
|
||||
|
||||
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"]}}"""
|
||||
|
||||
try:
|
||||
client = self._get_client()
|
||||
logger.info(f"Calling GLM API with model: {settings.GLM_MODEL}")
|
||||
|
||||
response = client.chat.completions.create(
|
||||
model=settings.GLM_MODEL,
|
||||
messages=[{"role": "user", "content": prompt}],
|
||||
thinking={"type": "disabled"}, # 禁用思考模式，加快响应
|
||||
max_tokens=500,
|
||||
temperature=0.7
|
||||
)
|
||||
|
||||
# 提取生成的内容
|
||||
content = response.choices[0].message.content
|
||||
logger.info(f"GLM response (model: {settings.GLM_MODEL}): {content}")
|
||||
|
||||
# 解析 JSON
|
||||
result = self._parse_json_response(content)
|
||||
return result
|
||||
|
||||
except Exception as e:
|
||||
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:
|
||||
"""
|
||||
AI 洗稿（文案改写）
|
||||
|
||||
Args:
|
||||
text: 原始文案
|
||||
|
||||
Returns:
|
||||
改写后的文案
|
||||
"""
|
||||
prompt = f"""请将以下视频文案进行改写。
|
||||
|
||||
原始文案：
|
||||
{text}
|
||||
|
||||
要求：
|
||||
1. 保持原意，但语气更加自然流畅
|
||||
2. 适合口播，读起来朗朗上口
|
||||
3. 字数与原文相当或略微精简
|
||||
4. 不要返回多余的解释，只返回改写后的正文"""
|
||||
|
||||
try:
|
||||
client = self._get_client()
|
||||
logger.info(f"Using GLM to rewrite script")
|
||||
|
||||
response = client.chat.completions.create(
|
||||
model=settings.GLM_MODEL,
|
||||
messages=[{"role": "user", "content": prompt}],
|
||||
thinking={"type": "disabled"},
|
||||
max_tokens=2000,
|
||||
temperature=0.8
|
||||
)
|
||||
|
||||
content = response.choices[0].message.content
|
||||
logger.info("GLM rewrite completed")
|
||||
return content.strip()
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"GLM rewrite error: {e}")
|
||||
raise Exception(f"AI 改写失败: {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
|
||||
try:
|
||||
return json.loads(content)
|
||||
except json.JSONDecodeError:
|
||||
pass
|
||||
|
||||
# 尝试提取 JSON 块
|
||||
json_match = re.search(r'\{[^{}]*"title"[^{}]*"tags"[^{}]*\}', content, re.DOTALL)
|
||||
if json_match:
|
||||
try:
|
||||
return json.loads(json_match.group())
|
||||
except json.JSONDecodeError:
|
||||
pass
|
||||
|
||||
# 尝试提取 ```json 代码块
|
||||
code_match = re.search(r'```(?:json)?\s*(\{.*?\})\s*```', content, re.DOTALL)
|
||||
if code_match:
|
||||
try:
|
||||
return json.loads(code_match.group(1))
|
||||
except json.JSONDecodeError:
|
||||
pass
|
||||
|
||||
logger.error(f"Failed to parse GLM response: {content}")
|
||||
raise Exception("AI 返回格式解析失败")
|
||||
|
||||
|
||||
# 全局服务实例
|
||||
glm_service = GLMService()
|
||||
@@ -73,7 +73,51 @@ class LipSyncService:
|
||||
logger.warning(f"⚠️ Conda Python 不存在: {self.conda_python}")
|
||||
return False
|
||||
return True
|
||||
|
||||
|
||||
def _get_media_duration(self, media_path: str) -> Optional[float]:
|
||||
"""获取音频或视频的时长（秒）"""
|
||||
try:
|
||||
cmd = [
|
||||
"ffprobe", "-v", "error",
|
||||
"-show_entries", "format=duration",
|
||||
"-of", "default=noprint_wrappers=1:nokey=1",
|
||||
media_path
|
||||
]
|
||||
result = subprocess.run(cmd, capture_output=True, text=True, timeout=10)
|
||||
if result.returncode == 0:
|
||||
return float(result.stdout.strip())
|
||||
except Exception as e:
|
||||
logger.warning(f"⚠️ 获取媒体时长失败: {e}")
|
||||
return None
|
||||
|
||||
def _loop_video_to_duration(self, video_path: str, output_path: str, target_duration: float) -> str:
|
||||
"""
|
||||
循环视频以匹配目标时长
|
||||
使用 FFmpeg stream_loop 实现无缝循环
|
||||
"""
|
||||
try:
|
||||
cmd = [
|
||||
"ffmpeg", "-y",
|
||||
"-stream_loop", "-1", # 无限循环
|
||||
"-i", video_path,
|
||||
"-t", str(target_duration), # 截取到目标时长
|
||||
"-c:v", "libx264",
|
||||
"-preset", "fast",
|
||||
"-crf", "18",
|
||||
"-an", # 去掉原音频
|
||||
output_path
|
||||
]
|
||||
result = subprocess.run(cmd, capture_output=True, text=True, timeout=300)
|
||||
if result.returncode == 0 and Path(output_path).exists():
|
||||
logger.info(f"✅ 视频循环完成: {target_duration:.1f}s")
|
||||
return output_path
|
||||
else:
|
||||
logger.warning(f"⚠️ 视频循环失败: {result.stderr[:200]}")
|
||||
return video_path
|
||||
except Exception as e:
|
||||
logger.warning(f"⚠️ 视频循环异常: {e}")
|
||||
return video_path
|
||||
|
||||
def _preprocess_video(self, video_path: str, output_path: str, target_height: int = 720) -> str:
|
||||
"""
|
||||
视频预处理：压缩视频以加速后续处理
|
||||
@@ -204,27 +248,34 @@ class LipSyncService:
|
||||
|
||||
logger.info("⏳ 等待 GPU 资源 (排队中)...")
|
||||
async with self._lock:
|
||||
if self.use_server:
|
||||
# 模式 A: 调用常驻服务 (加速模式)
|
||||
return await self._call_persistent_server(video_path, audio_path, output_path)
|
||||
|
||||
logger.info("🔄 调用 LatentSync 推理 (subprocess)...")
|
||||
|
||||
# 使用临时目录存放输出
|
||||
# 使用临时目录存放中间文件
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
tmpdir = Path(tmpdir)
|
||||
|
||||
# 获取音频和视频时长
|
||||
audio_duration = self._get_media_duration(audio_path)
|
||||
video_duration = self._get_media_duration(video_path)
|
||||
|
||||
# 如果音频比视频长，循环视频以匹配音频长度
|
||||
if audio_duration and video_duration and audio_duration > video_duration + 0.5:
|
||||
logger.info(f"🔄 音频({audio_duration:.1f}s) > 视频({video_duration:.1f}s)，循环视频...")
|
||||
looped_video = tmpdir / "looped_input.mp4"
|
||||
actual_video_path = self._loop_video_to_duration(
|
||||
video_path,
|
||||
str(looped_video),
|
||||
audio_duration
|
||||
)
|
||||
else:
|
||||
actual_video_path = video_path
|
||||
|
||||
if self.use_server:
|
||||
# 模式 A: 调用常驻服务 (加速模式)
|
||||
return await self._call_persistent_server(actual_video_path, audio_path, output_path)
|
||||
|
||||
logger.info("🔄 调用 LatentSync 推理 (subprocess)...")
|
||||
|
||||
temp_output = tmpdir / "output.mp4"
|
||||
|
||||
# 视频预处理：压缩高分辨率视频以加速处理
|
||||
# preprocessed_video = tmpdir / "preprocessed_input.mp4"
|
||||
# actual_video_path = self._preprocess_video(
|
||||
# video_path,
|
||||
# str(preprocessed_video),
|
||||
# target_height=720
|
||||
# )
|
||||
# 暂时禁用预处理以保持原始分辨率
|
||||
actual_video_path = video_path
|
||||
|
||||
# 构建命令
|
||||
cmd = [
|
||||
str(self.conda_python),
|
||||
@@ -285,7 +336,7 @@ class LipSyncService:
|
||||
return output_path
|
||||
|
||||
logger.info(f"LatentSync 输出:\n{stdout_text[-500:] if stdout_text else 'N/A'}")
|
||||
|
||||
|
||||
# 检查输出文件
|
||||
if temp_output.exists():
|
||||
shutil.copy(temp_output, output_path)
|
||||
|
||||
159
backend/app/services/remotion_service.py
Normal file
159
backend/app/services/remotion_service.py
Normal file
@@ -0,0 +1,159 @@
|
||||
"""
|
||||
Remotion 视频渲染服务
|
||||
调用 Node.js Remotion 进行视频合成（字幕 + 标题）
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
import subprocess
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
from loguru import logger
|
||||
|
||||
|
||||
class RemotionService:
|
||||
"""Remotion 视频渲染服务"""
|
||||
|
||||
def __init__(self, remotion_dir: Optional[str] = None):
|
||||
# Remotion 项目目录
|
||||
if remotion_dir:
|
||||
self.remotion_dir = Path(remotion_dir)
|
||||
else:
|
||||
# 默认在 ViGent2/remotion 目录
|
||||
self.remotion_dir = Path(__file__).parent.parent.parent.parent / "remotion"
|
||||
|
||||
async def render(
|
||||
self,
|
||||
video_path: str,
|
||||
output_path: str,
|
||||
captions_path: Optional[str] = None,
|
||||
title: Optional[str] = None,
|
||||
title_duration: float = 3.0,
|
||||
fps: int = 25,
|
||||
enable_subtitles: bool = True,
|
||||
subtitle_style: Optional[dict] = None,
|
||||
title_style: Optional[dict] = None,
|
||||
on_progress: Optional[callable] = None
|
||||
) -> str:
|
||||
"""
|
||||
使用 Remotion 渲染视频（添加字幕和标题）
|
||||
|
||||
Args:
|
||||
video_path: 输入视频路径（唇形同步后的视频）
|
||||
output_path: 输出视频路径
|
||||
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）
|
||||
fps: 帧率
|
||||
enable_subtitles: 是否启用字幕
|
||||
on_progress: 进度回调函数
|
||||
|
||||
Returns:
|
||||
输出视频路径
|
||||
"""
|
||||
# 构建命令参数
|
||||
cmd = [
|
||||
"npx", "ts-node", "render.ts",
|
||||
"--video", str(video_path),
|
||||
"--output", str(output_path),
|
||||
"--fps", str(fps),
|
||||
"--enableSubtitles", str(enable_subtitles).lower()
|
||||
]
|
||||
|
||||
if captions_path:
|
||||
cmd.extend(["--captions", str(captions_path)])
|
||||
|
||||
if title:
|
||||
cmd.extend(["--title", title])
|
||||
cmd.extend(["--titleDuration", str(title_duration)])
|
||||
|
||||
if subtitle_style:
|
||||
cmd.extend(["--subtitleStyle", json.dumps(subtitle_style, ensure_ascii=False)])
|
||||
|
||||
if title_style:
|
||||
cmd.extend(["--titleStyle", json.dumps(title_style, ensure_ascii=False)])
|
||||
|
||||
logger.info(f"Running Remotion render: {' '.join(cmd)}")
|
||||
|
||||
# 在线程池中运行子进程
|
||||
def _run_render():
|
||||
process = subprocess.Popen(
|
||||
cmd,
|
||||
cwd=str(self.remotion_dir),
|
||||
stdout=subprocess.PIPE,
|
||||
stderr=subprocess.STDOUT,
|
||||
text=True,
|
||||
bufsize=1
|
||||
)
|
||||
|
||||
output_lines = []
|
||||
for line in iter(process.stdout.readline, ''):
|
||||
line = line.strip()
|
||||
if line:
|
||||
output_lines.append(line)
|
||||
logger.debug(f"[Remotion] {line}")
|
||||
|
||||
# 解析进度
|
||||
if "Rendering:" in line and "%" in line:
|
||||
try:
|
||||
percent_str = line.split("Rendering:")[1].strip().replace("%", "")
|
||||
percent = int(percent_str)
|
||||
if on_progress:
|
||||
on_progress(percent)
|
||||
except (ValueError, IndexError):
|
||||
pass
|
||||
|
||||
process.wait()
|
||||
|
||||
if process.returncode != 0:
|
||||
error_msg = "\n".join(output_lines[-20:]) # 最后 20 行
|
||||
raise RuntimeError(f"Remotion render failed (code {process.returncode}):\n{error_msg}")
|
||||
|
||||
return output_path
|
||||
|
||||
loop = asyncio.get_event_loop()
|
||||
result = await loop.run_in_executor(None, _run_render)
|
||||
|
||||
logger.info(f"Remotion render complete: {result}")
|
||||
return result
|
||||
|
||||
async def check_health(self) -> dict:
|
||||
"""检查 Remotion 服务健康状态"""
|
||||
try:
|
||||
# 检查 remotion 目录是否存在
|
||||
if not self.remotion_dir.exists():
|
||||
return {
|
||||
"ready": False,
|
||||
"error": f"Remotion directory not found: {self.remotion_dir}"
|
||||
}
|
||||
|
||||
# 检查 package.json 是否存在
|
||||
package_json = self.remotion_dir / "package.json"
|
||||
if not package_json.exists():
|
||||
return {
|
||||
"ready": False,
|
||||
"error": "package.json not found"
|
||||
}
|
||||
|
||||
# 检查 node_modules 是否存在
|
||||
node_modules = self.remotion_dir / "node_modules"
|
||||
if not node_modules.exists():
|
||||
return {
|
||||
"ready": False,
|
||||
"error": "node_modules not found, run 'npm install' first"
|
||||
}
|
||||
|
||||
return {
|
||||
"ready": True,
|
||||
"remotion_dir": str(self.remotion_dir)
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
return {
|
||||
"ready": False,
|
||||
"error": str(e)
|
||||
}
|
||||
|
||||
|
||||
# 全局服务实例
|
||||
remotion_service = RemotionService()
|
||||
@@ -16,6 +16,26 @@ class StorageService:
|
||||
self.supabase: Client = get_supabase()
|
||||
self.BUCKET_MATERIALS = "materials"
|
||||
self.BUCKET_OUTPUTS = "outputs"
|
||||
self.BUCKET_REF_AUDIOS = "ref-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]
|
||||
try:
|
||||
existing = self.supabase.storage.list_buckets()
|
||||
existing_names = {b.name for b in existing} if existing else set()
|
||||
for bucket_name in buckets:
|
||||
if bucket_name not in existing_names:
|
||||
try:
|
||||
self.supabase.storage.create_bucket(bucket_name, options={"public": True})
|
||||
logger.info(f"Created bucket: {bucket_name}")
|
||||
except Exception as e:
|
||||
# 可能已存在，忽略错误
|
||||
logger.debug(f"Bucket {bucket_name} creation skipped: {e}")
|
||||
except Exception as e:
|
||||
logger.warning(f"Failed to ensure buckets: {e}")
|
||||
|
||||
def _convert_to_public_url(self, url: str) -> str:
|
||||
"""将内部 URL 转换为公网可访问的 URL"""
|
||||
|
||||
@@ -1,9 +1,10 @@
|
||||
"""
|
||||
视频合成服务
|
||||
"""
|
||||
import os
|
||||
import subprocess
|
||||
import json
|
||||
import os
|
||||
import subprocess
|
||||
import json
|
||||
import shlex
|
||||
from pathlib import Path
|
||||
from loguru import logger
|
||||
from typing import Optional
|
||||
@@ -12,18 +13,18 @@ class VideoService:
|
||||
def __init__(self):
|
||||
pass
|
||||
|
||||
def _run_ffmpeg(self, cmd: list) -> bool:
|
||||
cmd_str = ' '.join(f'"{c}"' if ' ' in c or '\\' in c else c for c in cmd)
|
||||
logger.debug(f"FFmpeg CMD: {cmd_str}")
|
||||
try:
|
||||
# Synchronous call for BackgroundTasks compatibility
|
||||
result = subprocess.run(
|
||||
cmd_str,
|
||||
shell=True,
|
||||
capture_output=True,
|
||||
text=True,
|
||||
encoding='utf-8',
|
||||
)
|
||||
def _run_ffmpeg(self, cmd: list) -> bool:
|
||||
cmd_str = ' '.join(shlex.quote(str(c)) for c in cmd)
|
||||
logger.debug(f"FFmpeg CMD: {cmd_str}")
|
||||
try:
|
||||
# Synchronous call for BackgroundTasks compatibility
|
||||
result = subprocess.run(
|
||||
cmd,
|
||||
shell=False,
|
||||
capture_output=True,
|
||||
text=True,
|
||||
encoding='utf-8',
|
||||
)
|
||||
if result.returncode != 0:
|
||||
logger.error(f"FFmpeg Error: {result.stderr}")
|
||||
return False
|
||||
@@ -32,9 +33,9 @@ class VideoService:
|
||||
logger.error(f"FFmpeg Exception: {e}")
|
||||
return False
|
||||
|
||||
def _get_duration(self, file_path: str) -> float:
|
||||
# Synchronous call for BackgroundTasks compatibility
|
||||
cmd = f'ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1 "{file_path}"'
|
||||
def _get_duration(self, file_path: str) -> float:
|
||||
# Synchronous call for BackgroundTasks compatibility
|
||||
cmd = f'ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1 "{file_path}"'
|
||||
try:
|
||||
result = subprocess.run(
|
||||
cmd,
|
||||
@@ -44,7 +45,39 @@ class VideoService:
|
||||
)
|
||||
return float(result.stdout.strip())
|
||||
except Exception:
|
||||
return 0.0
|
||||
return 0.0
|
||||
|
||||
def mix_audio(
|
||||
self,
|
||||
voice_path: str,
|
||||
bgm_path: str,
|
||||
output_path: str,
|
||||
bgm_volume: float = 0.2
|
||||
) -> str:
|
||||
"""混合人声与背景音乐"""
|
||||
Path(output_path).parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
volume = max(0.0, min(float(bgm_volume), 1.0))
|
||||
filter_complex = (
|
||||
f"[0:a]volume=1.0[a0];"
|
||||
f"[1:a]volume={volume}[a1];"
|
||||
f"[a0][a1]amix=inputs=2:duration=first:dropout_transition=2:normalize=0[aout]"
|
||||
)
|
||||
|
||||
cmd = [
|
||||
"ffmpeg", "-y",
|
||||
"-i", voice_path,
|
||||
"-stream_loop", "-1", "-i", bgm_path,
|
||||
"-filter_complex", filter_complex,
|
||||
"-map", "[aout]",
|
||||
"-c:a", "pcm_s16le",
|
||||
"-shortest",
|
||||
output_path,
|
||||
]
|
||||
|
||||
if self._run_ffmpeg(cmd):
|
||||
return output_path
|
||||
raise RuntimeError("FFmpeg audio mix failed")
|
||||
|
||||
async def compose(
|
||||
self,
|
||||
@@ -82,8 +115,15 @@ class VideoService:
|
||||
# Previous state: subtitles disabled due to font issues
|
||||
# if subtitle_path: ...
|
||||
|
||||
# Audio map
|
||||
cmd.extend(["-c:v", "libx264", "-c:a", "aac", "-shortest"])
|
||||
# Audio map with high quality encoding
|
||||
cmd.extend([
|
||||
"-c:v", "libx264",
|
||||
"-preset", "slow", # 慢速预设，更好的压缩效率
|
||||
"-crf", "18", # 高质量（与 LatentSync 一致）
|
||||
"-c:a", "aac",
|
||||
"-b:a", "192k", # 音频比特率
|
||||
"-shortest"
|
||||
])
|
||||
# Use audio from input 1
|
||||
cmd.extend(["-map", "0:v", "-map", "1:a"])
|
||||
|
||||
|
||||
115
backend/app/services/voice_clone_service.py
Normal file
115
backend/app/services/voice_clone_service.py
Normal file
@@ -0,0 +1,115 @@
|
||||
"""
|
||||
声音克隆服务
|
||||
通过 HTTP 调用 Qwen3-TTS 独立服务 (端口 8009)
|
||||
"""
|
||||
import httpx
|
||||
import asyncio
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
from loguru import logger
|
||||
|
||||
from app.core.config import settings
|
||||
|
||||
# Qwen3-TTS 服务地址
|
||||
QWEN_TTS_URL = "http://localhost:8009"
|
||||
|
||||
|
||||
class VoiceCloneService:
|
||||
"""声音克隆服务 - 调用 Qwen3-TTS HTTP API"""
|
||||
|
||||
def __init__(self):
|
||||
self.base_url = QWEN_TTS_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_audio(
|
||||
self,
|
||||
text: str,
|
||||
ref_audio_path: str,
|
||||
ref_text: str,
|
||||
output_path: str,
|
||||
language: str = "Chinese"
|
||||
) -> str:
|
||||
"""
|
||||
使用声音克隆生成语音
|
||||
|
||||
Args:
|
||||
text: 要合成的文本
|
||||
ref_audio_path: 参考音频本地路径
|
||||
ref_text: 参考音频的转写文字
|
||||
output_path: 输出 wav 路径
|
||||
language: 语言 (Chinese/English/Auto)
|
||||
|
||||
Returns:
|
||||
输出文件路径
|
||||
"""
|
||||
# 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]}...")
|
||||
Path(output_path).parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# 读取参考音频
|
||||
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")
|
||||
|
||||
async def check_health(self) -> dict:
|
||||
"""健康检查"""
|
||||
import time
|
||||
|
||||
# 5分钟缓存
|
||||
now = time.time()
|
||||
if self._health_cache and (now - self._health_cache_time) < 300:
|
||||
return self._health_cache
|
||||
|
||||
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()
|
||||
self._health_cache_time = now
|
||||
return self._health_cache
|
||||
except Exception as e:
|
||||
logger.warning(f"Qwen3-TTS health check failed: {e}")
|
||||
return {
|
||||
"service": "Qwen3-TTS Voice Clone",
|
||||
"model": "0.6B-Base",
|
||||
"ready": False,
|
||||
"gpu_id": 0,
|
||||
"error": str(e)
|
||||
}
|
||||
|
||||
|
||||
# 单例
|
||||
voice_clone_service = VoiceCloneService()
|
||||
288
backend/app/services/whisper_service.py
Normal file
288
backend/app/services/whisper_service.py
Normal file
@@ -0,0 +1,288 @@
|
||||
"""
|
||||
字幕对齐服务
|
||||
使用 faster-whisper 生成字级别时间戳
|
||||
"""
|
||||
|
||||
import json
|
||||
import re
|
||||
from pathlib import Path
|
||||
from typing import Optional, List
|
||||
from loguru import logger
|
||||
|
||||
# 模型缓存
|
||||
_whisper_model = None
|
||||
|
||||
# 断句标点
|
||||
SENTENCE_PUNCTUATION = set('。！？，、；：,.!?;:')
|
||||
# 每行最大字数
|
||||
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
|
||||
|
||||
Args:
|
||||
word: 词文本
|
||||
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
|
||||
"""
|
||||
tokens = []
|
||||
ascii_buffer = ""
|
||||
|
||||
for char in word:
|
||||
if not char.strip():
|
||||
continue
|
||||
|
||||
if char.isascii() and char.isalnum():
|
||||
ascii_buffer += char
|
||||
continue
|
||||
|
||||
if ascii_buffer:
|
||||
tokens.append(ascii_buffer)
|
||||
ascii_buffer = ""
|
||||
|
||||
tokens.append(char)
|
||||
|
||||
if ascii_buffer:
|
||||
tokens.append(ascii_buffer)
|
||||
|
||||
if not tokens:
|
||||
return []
|
||||
|
||||
if len(tokens) == 1:
|
||||
return [{"word": tokens[0], "start": start, "end": end}]
|
||||
|
||||
# 线性插值时间戳
|
||||
duration = end - start
|
||||
token_duration = duration / len(tokens)
|
||||
|
||||
result = []
|
||||
for i, token in enumerate(tokens):
|
||||
token_start = start + i * token_duration
|
||||
token_end = start + (i + 1) * token_duration
|
||||
result.append({
|
||||
"word": token,
|
||||
"start": round(token_start, 3),
|
||||
"end": round(token_end, 3)
|
||||
})
|
||||
|
||||
return result
|
||||
|
||||
|
||||
def split_segment_to_lines(words: List[dict], max_chars: int = MAX_CHARS_PER_LINE) -> List[dict]:
|
||||
"""
|
||||
将长段落按标点和字数拆分成多行
|
||||
|
||||
Args:
|
||||
words: 字列表，每个包含 word/start/end
|
||||
max_chars: 每行最大字数
|
||||
|
||||
Returns:
|
||||
拆分后的 segment 列表
|
||||
"""
|
||||
if not words:
|
||||
return []
|
||||
|
||||
segments = []
|
||||
current_words = []
|
||||
current_text = ""
|
||||
|
||||
for word_info in words:
|
||||
char = word_info["word"]
|
||||
current_words.append(word_info)
|
||||
current_text += char
|
||||
|
||||
# 判断是否需要断句
|
||||
should_break = False
|
||||
|
||||
# 1. 遇到断句标点
|
||||
if char in SENTENCE_PUNCTUATION:
|
||||
should_break = True
|
||||
# 2. 达到最大字数
|
||||
elif len(current_text) >= max_chars:
|
||||
should_break = True
|
||||
|
||||
if should_break and current_words:
|
||||
segments.append({
|
||||
"text": current_text,
|
||||
"start": current_words[0]["start"],
|
||||
"end": current_words[-1]["end"],
|
||||
"words": current_words.copy()
|
||||
})
|
||||
current_words = []
|
||||
current_text = ""
|
||||
|
||||
# 处理剩余的字
|
||||
if current_words:
|
||||
segments.append({
|
||||
"text": current_text,
|
||||
"start": current_words[0]["start"],
|
||||
"end": current_words[-1]["end"],
|
||||
"words": current_words.copy()
|
||||
})
|
||||
|
||||
return segments
|
||||
|
||||
|
||||
class WhisperService:
|
||||
"""字幕对齐服务（基于 faster-whisper）"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
model_size: str = "large-v3",
|
||||
device: str = "cuda",
|
||||
compute_type: str = "float16",
|
||||
):
|
||||
self.model_size = model_size
|
||||
self.device = device
|
||||
self.compute_type = compute_type
|
||||
|
||||
def _load_model(self):
|
||||
"""懒加载 faster-whisper 模型"""
|
||||
global _whisper_model
|
||||
|
||||
if _whisper_model is None:
|
||||
from faster_whisper import WhisperModel
|
||||
|
||||
logger.info(f"Loading faster-whisper model: {self.model_size} on {self.device}")
|
||||
_whisper_model = WhisperModel(
|
||||
self.model_size,
|
||||
device=self.device,
|
||||
compute_type=self.compute_type
|
||||
)
|
||||
logger.info("faster-whisper model loaded")
|
||||
|
||||
return _whisper_model
|
||||
|
||||
async def align(
|
||||
self,
|
||||
audio_path: str,
|
||||
text: str,
|
||||
output_path: Optional[str] = None
|
||||
) -> dict:
|
||||
"""
|
||||
对音频进行转录，生成字级别时间戳
|
||||
|
||||
Args:
|
||||
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
|
||||
|
||||
Returns:
|
||||
包含字级别时间戳的字典
|
||||
"""
|
||||
import asyncio
|
||||
|
||||
def _do_transcribe():
|
||||
model = self._load_model()
|
||||
|
||||
logger.info(f"Transcribing audio: {audio_path}")
|
||||
|
||||
# 转录并获取字级别时间戳
|
||||
segments_iter, info = model.transcribe(
|
||||
audio_path,
|
||||
language="zh",
|
||||
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})")
|
||||
|
||||
all_segments = []
|
||||
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
|
||||
chars = split_word_to_chars(
|
||||
word_text,
|
||||
word_info.start,
|
||||
word_info.end
|
||||
)
|
||||
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)
|
||||
all_segments.extend(line_segments)
|
||||
|
||||
logger.info(f"Generated {len(all_segments)} subtitle segments")
|
||||
return {"segments": all_segments}
|
||||
|
||||
# 在线程池中执行
|
||||
loop = asyncio.get_event_loop()
|
||||
result = await loop.run_in_executor(None, _do_transcribe)
|
||||
|
||||
# 保存到文件
|
||||
if output_path:
|
||||
output_file = Path(output_path)
|
||||
output_file.parent.mkdir(parents=True, exist_ok=True)
|
||||
with open(output_file, "w", encoding="utf-8") as f:
|
||||
json.dump(result, f, ensure_ascii=False, indent=2)
|
||||
logger.info(f"Captions saved to: {output_path}")
|
||||
|
||||
return result
|
||||
|
||||
async def transcribe(self, audio_path: str) -> str:
|
||||
"""
|
||||
仅转录文本（用于提取文案）
|
||||
|
||||
Args:
|
||||
audio_path: 音频/视频文件路径
|
||||
|
||||
Returns:
|
||||
纯文本内容
|
||||
"""
|
||||
import asyncio
|
||||
|
||||
def _do_transcribe_text():
|
||||
model = self._load_model()
|
||||
logger.info(f"Extracting script from: {audio_path}")
|
||||
|
||||
# 转录 (无需字级时间戳)
|
||||
segments_iter, _ = model.transcribe(
|
||||
audio_path,
|
||||
language="zh",
|
||||
word_timestamps=False,
|
||||
vad_filter=True,
|
||||
)
|
||||
|
||||
text_parts = []
|
||||
for segment in segments_iter:
|
||||
text_parts.append(segment.text.strip())
|
||||
|
||||
full_text = " ".join(text_parts)
|
||||
logger.info(f"Extracted text length: {len(full_text)}")
|
||||
return full_text
|
||||
|
||||
# 在线程池中执行
|
||||
loop = asyncio.get_event_loop()
|
||||
result = await loop.run_in_executor(None, _do_transcribe_text)
|
||||
return result
|
||||
|
||||
async def check_health(self) -> dict:
|
||||
"""检查服务健康状态"""
|
||||
try:
|
||||
from faster_whisper import WhisperModel
|
||||
return {
|
||||
"ready": True,
|
||||
"model_size": self.model_size,
|
||||
"device": self.device,
|
||||
"backend": "faster-whisper"
|
||||
}
|
||||
except ImportError:
|
||||
return {
|
||||
"ready": False,
|
||||
"error": "faster-whisper not installed"
|
||||
}
|
||||
|
||||
|
||||
# 全局服务实例
|
||||
whisper_service = WhisperService()
|
||||
58
backend/assets/styles/subtitle.json
Normal file
58
backend/assets/styles/subtitle.json
Normal file
@@ -0,0 +1,58 @@
|
||||
[
|
||||
{
|
||||
"id": "subtitle_classic_yellow",
|
||||
"label": "经典黄字",
|
||||
"font_file": "title/思源黑体/SourceHanSansCN-Bold思源黑体免费.otf",
|
||||
"font_family": "SourceHanSansCN-Bold",
|
||||
"font_size": 52,
|
||||
"highlight_color": "#FFE600",
|
||||
"normal_color": "#FFFFFF",
|
||||
"stroke_color": "#000000",
|
||||
"stroke_size": 3,
|
||||
"letter_spacing": 2,
|
||||
"bottom_margin": 80,
|
||||
"is_default": true
|
||||
},
|
||||
{
|
||||
"id": "subtitle_cyan",
|
||||
"label": "清爽青蓝",
|
||||
"font_file": "DingTalk Sans.ttf",
|
||||
"font_family": "DingTalkSans",
|
||||
"font_size": 48,
|
||||
"highlight_color": "#00E5FF",
|
||||
"normal_color": "#FFFFFF",
|
||||
"stroke_color": "#000000",
|
||||
"stroke_size": 3,
|
||||
"letter_spacing": 1,
|
||||
"bottom_margin": 76,
|
||||
"is_default": false
|
||||
},
|
||||
{
|
||||
"id": "subtitle_orange",
|
||||
"label": "活力橙",
|
||||
"font_file": "simhei.ttf",
|
||||
"font_family": "SimHei",
|
||||
"font_size": 50,
|
||||
"highlight_color": "#FF8A00",
|
||||
"normal_color": "#FFFFFF",
|
||||
"stroke_color": "#000000",
|
||||
"stroke_size": 3,
|
||||
"letter_spacing": 2,
|
||||
"bottom_margin": 80,
|
||||
"is_default": false
|
||||
},
|
||||
{
|
||||
"id": "subtitle_clean_white",
|
||||
"label": "纯白轻描",
|
||||
"font_file": "DingTalk JinBuTi.ttf",
|
||||
"font_family": "DingTalkJinBuTi",
|
||||
"font_size": 46,
|
||||
"highlight_color": "#FFFFFF",
|
||||
"normal_color": "#FFFFFF",
|
||||
"stroke_color": "#111111",
|
||||
"stroke_size": 2,
|
||||
"letter_spacing": 1,
|
||||
"bottom_margin": 72,
|
||||
"is_default": false
|
||||
}
|
||||
]
|
||||
58
backend/assets/styles/title.json
Normal file
58
backend/assets/styles/title.json
Normal file
@@ -0,0 +1,58 @@
|
||||
[
|
||||
{
|
||||
"id": "title_bold_white",
|
||||
"label": "黑体大标题",
|
||||
"font_file": "title/思源黑体/SourceHanSansCN-Heavy思源黑体免费.otf",
|
||||
"font_family": "SourceHanSansCN-Heavy",
|
||||
"font_size": 72,
|
||||
"color": "#FFFFFF",
|
||||
"stroke_color": "#000000",
|
||||
"stroke_size": 8,
|
||||
"letter_spacing": 4,
|
||||
"top_margin": 60,
|
||||
"font_weight": 900,
|
||||
"is_default": true
|
||||
},
|
||||
{
|
||||
"id": "title_serif_gold",
|
||||
"label": "宋体金色",
|
||||
"font_file": "title/思源宋体/SourceHanSerifCN-SemiBold思源宋体免费.otf",
|
||||
"font_family": "SourceHanSerifCN-SemiBold",
|
||||
"font_size": 70,
|
||||
"color": "#FDE68A",
|
||||
"stroke_color": "#2B1B00",
|
||||
"stroke_size": 8,
|
||||
"letter_spacing": 3,
|
||||
"top_margin": 58,
|
||||
"font_weight": 800,
|
||||
"is_default": false
|
||||
},
|
||||
{
|
||||
"id": "title_douyin",
|
||||
"label": "抖音活力",
|
||||
"font_file": "title/抖音美好体开源.otf",
|
||||
"font_family": "DouyinMeiHao",
|
||||
"font_size": 72,
|
||||
"color": "#FFFFFF",
|
||||
"stroke_color": "#1F0A00",
|
||||
"stroke_size": 8,
|
||||
"letter_spacing": 4,
|
||||
"top_margin": 60,
|
||||
"font_weight": 900,
|
||||
"is_default": false
|
||||
},
|
||||
{
|
||||
"id": "title_pop",
|
||||
"label": "站酷快乐体",
|
||||
"font_file": "title/站酷快乐体.ttf",
|
||||
"font_family": "ZCoolHappy",
|
||||
"font_size": 74,
|
||||
"color": "#FFFFFF",
|
||||
"stroke_color": "#000000",
|
||||
"stroke_size": 8,
|
||||
"letter_spacing": 5,
|
||||
"top_margin": 62,
|
||||
"font_weight": 900,
|
||||
"is_default": false
|
||||
}
|
||||
]
|
||||
88
backend/database/migrate_to_phone.sql
Normal file
88
backend/database/migrate_to_phone.sql
Normal file
@@ -0,0 +1,88 @@
|
||||
-- ============================================================
|
||||
-- ViGent 手机号登录迁移脚本
|
||||
-- 用于将 email 字段改为 phone 字段
|
||||
--
|
||||
-- 执行方式（任选一种）：
|
||||
-- 1. Supabase Studio: 打开 https://supabase.hbyrkj.top -> SQL Editor -> 粘贴执行
|
||||
-- 2. Docker 命令: docker exec -i supabase-db psql -U postgres < migrate_to_phone.sql
|
||||
-- ============================================================
|
||||
|
||||
-- 注意：此脚本会删除现有的用户数据！
|
||||
-- 如需保留数据，请先备份
|
||||
|
||||
-- 1. 删除依赖表（有外键约束）
|
||||
DROP TABLE IF EXISTS user_sessions CASCADE;
|
||||
DROP TABLE IF EXISTS social_accounts CASCADE;
|
||||
|
||||
-- 2. 删除用户表
|
||||
DROP TABLE IF EXISTS users CASCADE;
|
||||
|
||||
-- 3. 重新创建 users 表（使用 phone 字段）
|
||||
CREATE TABLE users (
|
||||
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
|
||||
phone TEXT UNIQUE NOT NULL,
|
||||
password_hash TEXT NOT NULL,
|
||||
username TEXT,
|
||||
role TEXT DEFAULT 'pending' CHECK (role IN ('pending', 'user', 'admin')),
|
||||
is_active BOOLEAN DEFAULT FALSE,
|
||||
expires_at TIMESTAMP WITH TIME ZONE,
|
||||
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
|
||||
updated_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
|
||||
);
|
||||
|
||||
-- 4. 重新创建 user_sessions 表
|
||||
CREATE TABLE user_sessions (
|
||||
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
|
||||
user_id UUID REFERENCES users(id) ON DELETE CASCADE UNIQUE,
|
||||
session_token TEXT UNIQUE NOT NULL,
|
||||
device_info TEXT,
|
||||
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
|
||||
);
|
||||
|
||||
-- 5. 重新创建 social_accounts 表
|
||||
CREATE TABLE social_accounts (
|
||||
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
|
||||
user_id UUID REFERENCES users(id) ON DELETE CASCADE,
|
||||
platform TEXT NOT NULL CHECK (platform IN ('bilibili', 'douyin', 'xiaohongshu')),
|
||||
logged_in BOOLEAN DEFAULT FALSE,
|
||||
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
|
||||
UNIQUE(user_id, platform)
|
||||
);
|
||||
|
||||
-- 6. 创建索引
|
||||
CREATE INDEX idx_users_phone ON users(phone);
|
||||
CREATE INDEX idx_sessions_user_id ON user_sessions(user_id);
|
||||
CREATE INDEX idx_social_user_platform ON social_accounts(user_id, platform);
|
||||
|
||||
-- 7. 启用 RLS
|
||||
ALTER TABLE users ENABLE ROW LEVEL SECURITY;
|
||||
ALTER TABLE user_sessions ENABLE ROW LEVEL SECURITY;
|
||||
ALTER TABLE social_accounts ENABLE ROW LEVEL SECURITY;
|
||||
|
||||
-- 8. 创建 RLS 策略
|
||||
CREATE POLICY "Users can view own profile" ON users
|
||||
FOR SELECT USING (auth.uid()::text = id::text);
|
||||
|
||||
CREATE POLICY "Users can access own sessions" ON user_sessions
|
||||
FOR ALL USING (user_id::text = auth.uid()::text);
|
||||
|
||||
CREATE POLICY "Users can access own social accounts" ON social_accounts
|
||||
FOR ALL USING (user_id::text = auth.uid()::text);
|
||||
|
||||
-- 9. 更新时间触发器
|
||||
CREATE OR REPLACE FUNCTION update_updated_at()
|
||||
RETURNS TRIGGER AS $$
|
||||
BEGIN
|
||||
NEW.updated_at = NOW();
|
||||
RETURN NEW;
|
||||
END;
|
||||
$$ LANGUAGE plpgsql;
|
||||
|
||||
DROP TRIGGER IF EXISTS users_updated_at ON users;
|
||||
CREATE TRIGGER users_updated_at
|
||||
BEFORE UPDATE ON users
|
||||
FOR EACH ROW
|
||||
EXECUTE FUNCTION update_updated_at();
|
||||
|
||||
-- 完成！
|
||||
-- 管理员账号会在后端服务重启时自动创建 (15549380526)
|
||||
@@ -4,7 +4,7 @@
|
||||
-- 1. 创建 users 表
|
||||
CREATE TABLE IF NOT EXISTS users (
|
||||
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
|
||||
email TEXT UNIQUE NOT NULL,
|
||||
phone TEXT UNIQUE NOT NULL,
|
||||
password_hash TEXT NOT NULL,
|
||||
username TEXT,
|
||||
role TEXT DEFAULT 'pending' CHECK (role IN ('pending', 'user', 'admin')),
|
||||
@@ -34,7 +34,7 @@ CREATE TABLE IF NOT EXISTS social_accounts (
|
||||
);
|
||||
|
||||
-- 4. 创建索引
|
||||
CREATE INDEX IF NOT EXISTS idx_users_email ON users(email);
|
||||
CREATE INDEX IF NOT EXISTS idx_users_phone ON users(phone);
|
||||
CREATE INDEX IF NOT EXISTS idx_sessions_user_id ON user_sessions(user_id);
|
||||
CREATE INDEX IF NOT EXISTS idx_social_user_platform ON social_accounts(user_id, platform);
|
||||
|
||||
|
||||
@@ -28,3 +28,10 @@ supabase>=2.0.0
|
||||
python-jose[cryptography]>=3.3.0
|
||||
passlib[bcrypt]>=1.7.4
|
||||
bcrypt==4.0.1
|
||||
|
||||
# 字幕对齐
|
||||
faster-whisper>=1.0.0
|
||||
|
||||
# 文案提取与AI生成
|
||||
yt-dlp>=2023.0.0
|
||||
zai-sdk>=0.2.0
|
||||
|
||||
84
backend/scripts/watchdog.py
Normal file
84
backend/scripts/watchdog.py
Normal file
@@ -0,0 +1,84 @@
|
||||
|
||||
import asyncio
|
||||
import httpx
|
||||
import logging
|
||||
import subprocess
|
||||
import time
|
||||
from datetime import datetime
|
||||
|
||||
# 配置日志
|
||||
logging.basicConfig(
|
||||
level=logging.INFO,
|
||||
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
|
||||
handlers=[
|
||||
logging.FileHandler("watchdog.log"),
|
||||
logging.StreamHandler()
|
||||
]
|
||||
)
|
||||
logger = logging.getLogger("Watchdog")
|
||||
|
||||
# 服务配置
|
||||
SERVICES = [
|
||||
{
|
||||
"name": "vigent2-qwen-tts",
|
||||
"url": "http://localhost:8009/health",
|
||||
"failures": 0,
|
||||
"threshold": 3,
|
||||
"timeout": 10.0,
|
||||
"restart_cmd": ["pm2", "restart", "vigent2-qwen-tts"]
|
||||
}
|
||||
]
|
||||
|
||||
async def check_service(service):
|
||||
"""检查单个服务健康状态"""
|
||||
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
|
||||
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"
|
||||
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")
|
||||
|
||||
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)
|
||||
|
||||
if __name__ == "__main__":
|
||||
try:
|
||||
asyncio.run(main())
|
||||
except KeyboardInterrupt:
|
||||
logger.info("🛑 看门狗已停止")
|
||||
@@ -7,8 +7,10 @@ ViGent2 的前端界面，采用 Next.js 14 + TailwindCSS 构建。
|
||||
### 1. 视频生成 (`/`)
|
||||
- **素材管理**: 拖拽上传人物视频，实时预览。
|
||||
- **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)。
|
||||
- **进度追踪**: 实时显示视频生成进度 (10% -> 100%)。
|
||||
- **结果预览**: 生成完成后直接播放下载。
|
||||
- **本地保存**: 文案/标题自动保存，刷新后恢复 (Day 14)。
|
||||
|
||||
### 2. 全自动发布 (`/publish`) [Day 7 新增]
|
||||
- **多平台管理**: 统一管理 B站、抖音、小红书账号状态。
|
||||
@@ -19,13 +21,34 @@ ViGent2 的前端界面，采用 Next.js 14 + TailwindCSS 构建。
|
||||
- **发布配置**: 设置视频标题、标签、简介。
|
||||
- **定时任务**: 支持 "立即发布" 或 "定时发布"。
|
||||
|
||||
### 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。
|
||||
|
||||
### 4. 字幕与标题 [Day 13 新增]
|
||||
- **片头标题**: 可选输入，视频开头显示 3 秒淡入淡出标题。
|
||||
- **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。
|
||||
|
||||
### 5. 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。
|
||||
- **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。
|
||||
|
||||
### 6. 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。
|
||||
- **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。
|
||||
|
||||
## 🛠️ 技术栈
|
||||
|
||||
- **框架**: Next.js 14 (App Router)
|
||||
- **样式**: TailwindCSS
|
||||
- **图标**: Lucide React
|
||||
- **组件**: 自定义现代化组件 (Glassmorphism 风格)
|
||||
- **API**: Fetch API (对接后端 FastAPI :8006)
|
||||
- **API**: Axios 实例 `@/lib/axios` (对接后端 FastAPI :8006)
|
||||
|
||||
## 🚀 开发指南
|
||||
|
||||
|
||||
@@ -16,6 +16,10 @@ const nextConfig: NextConfig = {
|
||||
source: '/outputs/:path*',
|
||||
destination: 'http://localhost:8006/outputs/:path*', // 转发生成的视频
|
||||
},
|
||||
{
|
||||
source: '/assets/:path*',
|
||||
destination: 'http://localhost:8006/assets/:path*', // 转发静态资源（字体/音乐）
|
||||
},
|
||||
];
|
||||
},
|
||||
};
|
||||
|
||||
10
frontend/package-lock.json
generated
10
frontend/package-lock.json
generated
@@ -10,6 +10,7 @@
|
||||
"dependencies": {
|
||||
"@supabase/supabase-js": "^2.93.1",
|
||||
"axios": "^1.13.4",
|
||||
"lucide-react": "^0.563.0",
|
||||
"next": "16.1.1",
|
||||
"react": "19.2.3",
|
||||
"react-dom": "19.2.3",
|
||||
@@ -5000,6 +5001,15 @@
|
||||
"yallist": "^3.0.2"
|
||||
}
|
||||
},
|
||||
"node_modules/lucide-react": {
|
||||
"version": "0.563.0",
|
||||
"resolved": "https://registry.npmjs.org/lucide-react/-/lucide-react-0.563.0.tgz",
|
||||
"integrity": "sha512-8dXPB2GI4dI8jV4MgUDGBeLdGk8ekfqVZ0BdLcrRzocGgG75ltNEmWS+gE7uokKF/0oSUuczNDT+g9hFJ23FkA==",
|
||||
"license": "ISC",
|
||||
"peerDependencies": {
|
||||
"react": "^16.5.1 || ^17.0.0 || ^18.0.0 || ^19.0.0"
|
||||
}
|
||||
},
|
||||
"node_modules/magic-string": {
|
||||
"version": "0.30.21",
|
||||
"resolved": "https://registry.npmjs.org/magic-string/-/magic-string-0.30.21.tgz",
|
||||
|
||||
@@ -11,6 +11,7 @@
|
||||
"dependencies": {
|
||||
"@supabase/supabase-js": "^2.93.1",
|
||||
"axios": "^1.13.4",
|
||||
"lucide-react": "^0.563.0",
|
||||
"next": "16.1.1",
|
||||
"react": "19.2.3",
|
||||
"react-dom": "19.2.3",
|
||||
|
||||
@@ -7,7 +7,7 @@ import api from '@/lib/axios';
|
||||
|
||||
interface UserListItem {
|
||||
id: string;
|
||||
email: string;
|
||||
phone: string;
|
||||
username: string | null;
|
||||
role: string;
|
||||
is_active: boolean;
|
||||
@@ -144,8 +144,8 @@ export default function AdminPage() {
|
||||
<tr key={user.id} className="hover:bg-white/5">
|
||||
<td className="px-6 py-4">
|
||||
<div>
|
||||
<div className="text-white font-medium">{user.username || user.email.split('@')[0]}</div>
|
||||
<div className="text-gray-400 text-sm">{user.email}</div>
|
||||
<div className="text-white font-medium">{user.username || `用户${user.phone.slice(-4)}`}</div>
|
||||
<div className="text-gray-400 text-sm">{user.phone}</div>
|
||||
</div>
|
||||
</td>
|
||||
<td className="px-6 py-4">
|
||||
|
||||
@@ -38,6 +38,7 @@ body {
|
||||
font-family: Arial, Helvetica, sans-serif;
|
||||
padding-top: env(safe-area-inset-top);
|
||||
padding-bottom: env(safe-area-inset-bottom);
|
||||
background: linear-gradient(to bottom, #0f172a 0%, #0f172a 5%, #581c87 50%, #0f172a 95%, #0f172a 100%);
|
||||
}
|
||||
|
||||
/* 自定义滚动条样式 - 深色主题 */
|
||||
|
||||
@@ -1,6 +1,9 @@
|
||||
import type { Metadata, Viewport } from "next";
|
||||
import { Geist, Geist_Mono } from "next/font/google";
|
||||
import "./globals.css";
|
||||
import { AuthProvider } from "@/contexts/AuthContext";
|
||||
import { TaskProvider } from "@/contexts/TaskContext";
|
||||
import GlobalTaskIndicator from "@/components/GlobalTaskIndicator";
|
||||
|
||||
const geistSans = Geist({
|
||||
variable: "--font-geist-sans",
|
||||
@@ -13,8 +16,8 @@ const geistMono = Geist_Mono({
|
||||
});
|
||||
|
||||
export const metadata: Metadata = {
|
||||
title: "ViGent",
|
||||
description: "ViGent Talking Head Agent",
|
||||
title: "IPAgent",
|
||||
description: "IPAgent Talking Head Agent",
|
||||
};
|
||||
|
||||
export const viewport: Viewport = {
|
||||
@@ -30,16 +33,15 @@ export default function RootLayout({
|
||||
children: React.ReactNode;
|
||||
}>) {
|
||||
return (
|
||||
<html lang="en" style={{ backgroundColor: '#0f172a' }}>
|
||||
<html lang="en">
|
||||
<body
|
||||
className={`${geistSans.variable} ${geistMono.variable} antialiased`}
|
||||
style={{
|
||||
margin: 0,
|
||||
minHeight: '100dvh',
|
||||
background: 'linear-gradient(to bottom, #0f172a 0%, #0f172a 5%, #581c87 50%, #0f172a 95%, #0f172a 100%)',
|
||||
}}
|
||||
>
|
||||
{children}
|
||||
<AuthProvider>
|
||||
<TaskProvider>
|
||||
{children}
|
||||
</TaskProvider>
|
||||
</AuthProvider>
|
||||
</body>
|
||||
</html>
|
||||
);
|
||||
|
||||
@@ -6,7 +6,7 @@ import { login } from '@/lib/auth';
|
||||
|
||||
export default function LoginPage() {
|
||||
const router = useRouter();
|
||||
const [email, setEmail] = useState('');
|
||||
const [phone, setPhone] = useState('');
|
||||
const [password, setPassword] = useState('');
|
||||
const [error, setError] = useState('');
|
||||
const [loading, setLoading] = useState(false);
|
||||
@@ -14,10 +14,17 @@ export default function LoginPage() {
|
||||
const handleSubmit = async (e: React.FormEvent) => {
|
||||
e.preventDefault();
|
||||
setError('');
|
||||
|
||||
// 验证手机号格式
|
||||
if (!/^\d{11}$/.test(phone)) {
|
||||
setError('请输入正确的11位手机号');
|
||||
return;
|
||||
}
|
||||
|
||||
setLoading(true);
|
||||
|
||||
try {
|
||||
const result = await login(email, password);
|
||||
const result = await login(phone, password);
|
||||
if (result.success) {
|
||||
router.push('/');
|
||||
} else {
|
||||
@@ -34,22 +41,23 @@ export default function LoginPage() {
|
||||
<div className="min-h-dvh flex items-center justify-center">
|
||||
<div className="w-full max-w-md p-8 bg-white/10 backdrop-blur-lg rounded-2xl shadow-2xl border border-white/20">
|
||||
<div className="text-center mb-8">
|
||||
<h1 className="text-3xl font-bold text-white mb-2">ViGent</h1>
|
||||
<h1 className="text-3xl font-bold text-white mb-2">IPAgent</h1>
|
||||
<p className="text-gray-300">AI 视频生成平台</p>
|
||||
</div>
|
||||
|
||||
<form onSubmit={handleSubmit} className="space-y-6">
|
||||
<div>
|
||||
<label className="block text-sm font-medium text-gray-200 mb-2">
|
||||
邮箱
|
||||
手机号
|
||||
</label>
|
||||
<input
|
||||
type="email"
|
||||
value={email}
|
||||
onChange={(e) => setEmail(e.target.value)}
|
||||
type="tel"
|
||||
value={phone}
|
||||
onChange={(e) => setPhone(e.target.value.replace(/\D/g, '').slice(0, 11))}
|
||||
required
|
||||
maxLength={11}
|
||||
className="w-full px-4 py-3 bg-white/5 border border-white/10 rounded-lg text-white placeholder-gray-400 focus:outline-none focus:ring-2 focus:ring-purple-500 focus:border-transparent"
|
||||
placeholder="your@email.com"
|
||||
placeholder="请输入11位手机号"
|
||||
/>
|
||||
</div>
|
||||
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,9 +1,19 @@
|
||||
"use client";
|
||||
|
||||
import { useState, useEffect } from "react";
|
||||
import useSWR from 'swr';
|
||||
import Link from "next/link";
|
||||
import api from "@/lib/axios";
|
||||
import { useState, useEffect } from "react";
|
||||
import useSWR from 'swr';
|
||||
import Link from "next/link";
|
||||
import api from "@/lib/axios";
|
||||
import { useAuth } from "@/contexts/AuthContext";
|
||||
import AccountSettingsDropdown from "@/components/AccountSettingsDropdown";
|
||||
import {
|
||||
ArrowLeft,
|
||||
RotateCcw,
|
||||
LogOut,
|
||||
QrCode,
|
||||
Rocket,
|
||||
Clock,
|
||||
} from "lucide-react";
|
||||
|
||||
// SWR fetcher 使用 axios（自动处理 401/403）
|
||||
const fetcher = (url: string) => api.get(url).then((res) => res.data);
|
||||
@@ -51,11 +61,68 @@ export default function PublishPage() {
|
||||
const [qrPlatform, setQrPlatform] = useState<string | null>(null);
|
||||
const [isLoadingQR, setIsLoadingQR] = useState(false);
|
||||
|
||||
// 加载账号和视频列表
|
||||
// 使用全局认证状态
|
||||
const { userId, isLoading: isAuthLoading } = useAuth();
|
||||
// 是否已从 localStorage 恢复完成
|
||||
const [isRestored, setIsRestored] = useState(false);
|
||||
|
||||
// 加载账号和视频列表
|
||||
useEffect(() => {
|
||||
fetchAccounts();
|
||||
fetchVideos();
|
||||
}, []);
|
||||
|
||||
useEffect(() => {
|
||||
if (typeof window === 'undefined') return;
|
||||
if ('scrollRestoration' in window.history) {
|
||||
window.history.scrollRestoration = 'manual';
|
||||
}
|
||||
window.scrollTo({ top: 0, left: 0, behavior: 'auto' });
|
||||
}, []);
|
||||
|
||||
// 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';
|
||||
|
||||
// 从 localStorage 恢复用户输入（等待认证完成后）
|
||||
useEffect(() => {
|
||||
fetchAccounts();
|
||||
fetchVideos();
|
||||
}, []);
|
||||
console.log("[Publish] 恢复检查 - isAuthLoading:", isAuthLoading, "userId:", userId);
|
||||
if (isAuthLoading) return;
|
||||
|
||||
console.log("[Publish] 开始从 localStorage 恢复数据，storageKey:", storageKey);
|
||||
// 从 localStorage 恢复用户输入（带用户隔离，未登录用户使用 guest）
|
||||
const savedTitle = localStorage.getItem(`vigent_${storageKey}_publish_title`);
|
||||
const savedTags = localStorage.getItem(`vigent_${storageKey}_publish_tags`);
|
||||
|
||||
console.log("[Publish] localStorage 数据:", { savedTitle, savedTags });
|
||||
|
||||
if (savedTitle) setTitle(savedTitle);
|
||||
if (savedTags) {
|
||||
// 兼容 JSON 数组格式（AI 生成）和字符串格式（手动输入）
|
||||
try {
|
||||
const parsed = JSON.parse(savedTags);
|
||||
if (Array.isArray(parsed)) {
|
||||
setTags(parsed.join(', '));
|
||||
} else {
|
||||
setTags(savedTags);
|
||||
}
|
||||
} catch {
|
||||
setTags(savedTags);
|
||||
}
|
||||
}
|
||||
|
||||
// 恢复完成后才允许保存
|
||||
setIsRestored(true);
|
||||
console.log("[Publish] 恢复完成，isRestored = true");
|
||||
}, [storageKey, isAuthLoading]);
|
||||
|
||||
// 保存用户输入到 localStorage（恢复完成后才保存，未登录用户也可保存）
|
||||
useEffect(() => {
|
||||
if (isRestored) localStorage.setItem(`vigent_${storageKey}_publish_title`, title);
|
||||
}, [title, storageKey, isRestored]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isRestored) localStorage.setItem(`vigent_${storageKey}_publish_tags`, tags);
|
||||
}, [tags, storageKey, isRestored]);
|
||||
|
||||
const fetchAccounts = async () => {
|
||||
try {
|
||||
@@ -246,38 +313,27 @@ export default function PublishPage() {
|
||||
)}
|
||||
|
||||
{/* Header - 统一样式 */}
|
||||
<header className="border-b border-white/10 bg-black/20 backdrop-blur-sm">
|
||||
<header className="border-b border-white/10 bg-black/20 backdrop-blur-sm relative z-[100]">
|
||||
<div className="max-w-6xl mx-auto px-4 sm:px-6 py-3 sm:py-4 flex items-center justify-between">
|
||||
<Link href="/" className="text-xl sm:text-2xl font-bold text-white flex items-center gap-2 sm:gap-3 hover:opacity-80 transition-opacity">
|
||||
<span className="text-3xl sm:text-4xl">🎬</span>
|
||||
ViGent
|
||||
IPAgent
|
||||
</Link>
|
||||
<div className="flex items-center gap-1 sm:gap-4">
|
||||
<Link
|
||||
href="/"
|
||||
className="px-2 sm:px-4 py-1 sm:py-2 text-sm sm:text-base bg-white/10 hover:bg-white/20 text-white rounded-lg transition-colors"
|
||||
>
|
||||
返回创作
|
||||
</Link>
|
||||
<span className="px-2 sm:px-4 py-1 sm:py-2 text-sm sm:text-base bg-gradient-to-r from-purple-600 to-pink-600 text-white rounded-lg font-semibold">
|
||||
发布管理
|
||||
</span>
|
||||
<button
|
||||
onClick={async () => {
|
||||
if (confirm('确定要退出登录吗？')) {
|
||||
try {
|
||||
await api.post('/api/auth/logout');
|
||||
} catch (e) { }
|
||||
window.location.href = '/login';
|
||||
}
|
||||
}}
|
||||
className="px-2 sm:px-4 py-1 sm:py-2 text-sm sm:text-base bg-red-500/10 hover:bg-red-500/20 text-red-200 rounded-lg transition-colors"
|
||||
>
|
||||
退出
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
</header>
|
||||
<Link
|
||||
href="/"
|
||||
className="px-2 sm:px-4 py-1 sm:py-2 text-sm sm:text-base bg-white/10 hover:bg-white/20 text-white rounded-lg transition-colors flex items-center gap-1"
|
||||
>
|
||||
<ArrowLeft className="h-4 w-4" />
|
||||
返回创作
|
||||
</Link>
|
||||
<span className="px-2 sm:px-4 py-1 sm:py-2 text-sm sm:text-base bg-gradient-to-r from-purple-600 to-pink-600 text-white rounded-lg font-semibold">
|
||||
发布管理
|
||||
</span>
|
||||
<AccountSettingsDropdown />
|
||||
</div>
|
||||
</div>
|
||||
</header>
|
||||
|
||||
<main className="max-w-6xl mx-auto px-6 py-8">
|
||||
<div className="grid grid-cols-1 lg:grid-cols-2 gap-8">
|
||||
@@ -315,26 +371,29 @@ export default function PublishPage() {
|
||||
<div className="flex gap-2">
|
||||
{account.logged_in ? (
|
||||
<>
|
||||
<button
|
||||
onClick={() => handleLogin(account.platform)}
|
||||
className="px-3 py-1 bg-white/10 hover:bg-white/20 text-white text-sm rounded-lg transition-colors"
|
||||
>
|
||||
↻ 重新登录
|
||||
</button>
|
||||
<button
|
||||
onClick={() => handleLogout(account.platform)}
|
||||
className="px-3 py-1 bg-red-500/80 hover:bg-red-600 text-white text-sm rounded-lg transition-colors"
|
||||
>
|
||||
注销
|
||||
</button>
|
||||
<button
|
||||
onClick={() => handleLogin(account.platform)}
|
||||
className="px-3 py-1 bg-white/10 hover:bg-white/20 text-white text-sm rounded-lg transition-colors flex items-center gap-1"
|
||||
>
|
||||
<RotateCcw className="h-3.5 w-3.5" />
|
||||
重新登录
|
||||
</button>
|
||||
<button
|
||||
onClick={() => handleLogout(account.platform)}
|
||||
className="px-3 py-1 bg-red-500/80 hover:bg-red-600 text-white text-sm rounded-lg transition-colors flex items-center gap-1"
|
||||
>
|
||||
<LogOut className="h-3.5 w-3.5" />
|
||||
注销
|
||||
</button>
|
||||
</>
|
||||
) : (
|
||||
<button
|
||||
onClick={() => handleLogin(account.platform)}
|
||||
className="px-3 py-1 bg-purple-600 hover:bg-purple-700 text-white text-sm rounded-lg transition-colors"
|
||||
>
|
||||
🔐 扫码登录
|
||||
</button>
|
||||
<button
|
||||
onClick={() => handleLogin(account.platform)}
|
||||
className="px-3 py-1 bg-purple-600 hover:bg-purple-700 text-white text-sm rounded-lg transition-colors flex items-center gap-1"
|
||||
>
|
||||
<QrCode className="h-3.5 w-3.5" />
|
||||
扫码登录
|
||||
</button>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
@@ -440,32 +499,40 @@ export default function PublishPage() {
|
||||
<div className="space-y-3">
|
||||
<div className="flex gap-3">
|
||||
{/* 立即发布 - 占 3/4 */}
|
||||
<button
|
||||
onClick={() => {
|
||||
setScheduleMode("now");
|
||||
handlePublish();
|
||||
}}
|
||||
disabled={isPublishing || selectedPlatforms.length === 0}
|
||||
className={`flex-[3] py-4 rounded-xl font-bold text-lg transition-all ${isPublishing || selectedPlatforms.length === 0
|
||||
? "bg-gray-600 cursor-not-allowed text-gray-400"
|
||||
: "bg-gradient-to-r from-green-600 to-teal-600 hover:from-green-700 hover:to-teal-700 text-white"
|
||||
}`}
|
||||
>
|
||||
{isPublishing && scheduleMode === "now" ? "发布中..." : "🚀 立即发布"}
|
||||
</button>
|
||||
<button
|
||||
onClick={() => {
|
||||
setScheduleMode("now");
|
||||
handlePublish();
|
||||
}}
|
||||
disabled={isPublishing || selectedPlatforms.length === 0}
|
||||
className={`flex-[3] py-4 rounded-xl font-bold text-lg transition-all flex items-center justify-center gap-2 ${isPublishing || selectedPlatforms.length === 0
|
||||
? "bg-gray-600 cursor-not-allowed text-gray-400"
|
||||
: "bg-gradient-to-r from-green-600 to-teal-600 hover:from-green-700 hover:to-teal-700 text-white"
|
||||
}`}
|
||||
>
|
||||
{isPublishing && scheduleMode === "now" ? (
|
||||
"发布中..."
|
||||
) : (
|
||||
<>
|
||||
<Rocket className="h-5 w-5" />
|
||||
立即发布
|
||||
</>
|
||||
)}
|
||||
</button>
|
||||
{/* 定时发布 - 占 1/4 */}
|
||||
<button
|
||||
onClick={() => setScheduleMode(scheduleMode === "scheduled" ? "now" : "scheduled")}
|
||||
disabled={isPublishing || selectedPlatforms.length === 0}
|
||||
className={`flex-1 py-4 rounded-xl font-bold text-base transition-all ${isPublishing || selectedPlatforms.length === 0
|
||||
? "bg-gray-600 cursor-not-allowed text-gray-400"
|
||||
: scheduleMode === "scheduled"
|
||||
? "bg-purple-600 text-white"
|
||||
: "bg-white/10 hover:bg-white/20 text-white"
|
||||
}`}
|
||||
>
|
||||
⏰ 定时
|
||||
</button>
|
||||
<button
|
||||
onClick={() => setScheduleMode(scheduleMode === "scheduled" ? "now" : "scheduled")}
|
||||
disabled={isPublishing || selectedPlatforms.length === 0}
|
||||
className={`flex-1 py-4 rounded-xl font-bold text-base transition-all flex items-center justify-center gap-2 ${isPublishing || selectedPlatforms.length === 0
|
||||
? "bg-gray-600 cursor-not-allowed text-gray-400"
|
||||
: scheduleMode === "scheduled"
|
||||
? "bg-purple-600 text-white"
|
||||
: "bg-white/10 hover:bg-white/20 text-white"
|
||||
}`}
|
||||
>
|
||||
<Clock className="h-5 w-5" />
|
||||
定时
|
||||
</button>
|
||||
</div>
|
||||
|
||||
{/* 定时发布时间选择器 */}
|
||||
|
||||
@@ -6,7 +6,7 @@ import { register } from '@/lib/auth';
|
||||
|
||||
export default function RegisterPage() {
|
||||
const router = useRouter();
|
||||
const [email, setEmail] = useState('');
|
||||
const [phone, setPhone] = useState('');
|
||||
const [password, setPassword] = useState('');
|
||||
const [confirmPassword, setConfirmPassword] = useState('');
|
||||
const [username, setUsername] = useState('');
|
||||
@@ -18,6 +18,12 @@ export default function RegisterPage() {
|
||||
e.preventDefault();
|
||||
setError('');
|
||||
|
||||
// 验证手机号格式
|
||||
if (!/^\d{11}$/.test(phone)) {
|
||||
setError('请输入正确的11位手机号');
|
||||
return;
|
||||
}
|
||||
|
||||
if (password !== confirmPassword) {
|
||||
setError('两次输入的密码不一致');
|
||||
return;
|
||||
@@ -31,7 +37,7 @@ export default function RegisterPage() {
|
||||
setLoading(true);
|
||||
|
||||
try {
|
||||
const result = await register(email, password, username || undefined);
|
||||
const result = await register(phone, password, username || undefined);
|
||||
if (result.success) {
|
||||
setSuccess(true);
|
||||
} else {
|
||||
@@ -73,22 +79,24 @@ export default function RegisterPage() {
|
||||
<div className="w-full max-w-md p-8 bg-white/10 backdrop-blur-lg rounded-2xl shadow-2xl border border-white/20">
|
||||
<div className="text-center mb-8">
|
||||
<h1 className="text-3xl font-bold text-white mb-2">注册账号</h1>
|
||||
<p className="text-gray-300">创建您的 ViGent 账号</p>
|
||||
<p className="text-gray-300">创建您的 IPAgent 账号</p>
|
||||
</div>
|
||||
|
||||
<form onSubmit={handleSubmit} className="space-y-5">
|
||||
<div>
|
||||
<label className="block text-sm font-medium text-gray-200 mb-2">
|
||||
邮箱 <span className="text-red-400">*</span>
|
||||
手机号 <span className="text-red-400">*</span>
|
||||
</label>
|
||||
<input
|
||||
type="email"
|
||||
value={email}
|
||||
onChange={(e) => setEmail(e.target.value)}
|
||||
type="tel"
|
||||
value={phone}
|
||||
onChange={(e) => setPhone(e.target.value.replace(/\D/g, '').slice(0, 11))}
|
||||
required
|
||||
maxLength={11}
|
||||
className="w-full px-4 py-3 bg-white/5 border border-white/10 rounded-lg text-white placeholder-gray-400 focus:outline-none focus:ring-2 focus:ring-purple-500"
|
||||
placeholder="your@email.com"
|
||||
placeholder="请输入11位手机号"
|
||||
/>
|
||||
<p className="mt-1 text-xs text-gray-500">必须是11位数字</p>
|
||||
</div>
|
||||
|
||||
<div>
|
||||
|
||||
211
frontend/src/components/AccountSettingsDropdown.tsx
Normal file
211
frontend/src/components/AccountSettingsDropdown.tsx
Normal file
@@ -0,0 +1,211 @@
|
||||
"use client";
|
||||
|
||||
import { useState, useEffect, useRef } from "react";
|
||||
import { useAuth } from "@/contexts/AuthContext";
|
||||
import api from "@/lib/axios";
|
||||
|
||||
// 账户设置下拉菜单组件
|
||||
export default function AccountSettingsDropdown() {
|
||||
const { user } = useAuth();
|
||||
const [isOpen, setIsOpen] = useState(false);
|
||||
const [showPasswordModal, setShowPasswordModal] = useState(false);
|
||||
const [oldPassword, setOldPassword] = useState('');
|
||||
const [newPassword, setNewPassword] = useState('');
|
||||
const [confirmPassword, setConfirmPassword] = useState('');
|
||||
const [error, setError] = useState('');
|
||||
const [success, setSuccess] = useState('');
|
||||
const [loading, setLoading] = useState(false);
|
||||
const dropdownRef = useRef<HTMLDivElement>(null);
|
||||
|
||||
// 点击外部关闭菜单
|
||||
useEffect(() => {
|
||||
const handleClickOutside = (event: MouseEvent) => {
|
||||
if (dropdownRef.current && !dropdownRef.current.contains(event.target as Node)) {
|
||||
setIsOpen(false);
|
||||
}
|
||||
};
|
||||
if (isOpen) {
|
||||
document.addEventListener('mousedown', handleClickOutside);
|
||||
}
|
||||
return () => {
|
||||
document.removeEventListener('mousedown', handleClickOutside);
|
||||
};
|
||||
}, [isOpen]);
|
||||
|
||||
// 格式化有效期
|
||||
const formatExpiry = (expiresAt: string | null) => {
|
||||
if (!expiresAt) return '永久有效';
|
||||
const date = new Date(expiresAt);
|
||||
return `${date.getFullYear()}-${String(date.getMonth() + 1).padStart(2, '0')}-${String(date.getDate()).padStart(2, '0')}`;
|
||||
};
|
||||
|
||||
const handleLogout = async () => {
|
||||
if (confirm('确定要退出登录吗？')) {
|
||||
try {
|
||||
await api.post('/api/auth/logout');
|
||||
} catch (e) { }
|
||||
window.location.href = '/login';
|
||||
}
|
||||
};
|
||||
|
||||
const handleChangePassword = async (e: React.FormEvent) => {
|
||||
e.preventDefault();
|
||||
setError('');
|
||||
setSuccess('');
|
||||
|
||||
if (newPassword !== confirmPassword) {
|
||||
setError('两次输入的新密码不一致');
|
||||
return;
|
||||
}
|
||||
|
||||
if (newPassword.length < 6) {
|
||||
setError('新密码长度至少6位');
|
||||
return;
|
||||
}
|
||||
|
||||
setLoading(true);
|
||||
try {
|
||||
const res = await api.post('/api/auth/change-password', {
|
||||
old_password: oldPassword,
|
||||
new_password: newPassword
|
||||
});
|
||||
if (res.data.success) {
|
||||
setSuccess('密码修改成功，正在跳转登录页...');
|
||||
// 清除登录状态并跳转
|
||||
setTimeout(async () => {
|
||||
try {
|
||||
await api.post('/api/auth/logout');
|
||||
} catch (e) { }
|
||||
window.location.href = '/login';
|
||||
}, 1500);
|
||||
} else {
|
||||
setError(res.data.message || '修改失败');
|
||||
}
|
||||
} catch (err: any) {
|
||||
setError(err.response?.data?.detail || '修改失败，请重试');
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<div className="relative" ref={dropdownRef}>
|
||||
<button
|
||||
onClick={() => setIsOpen(!isOpen)}
|
||||
className="px-2 sm:px-4 py-1 sm:py-2 text-sm sm:text-base bg-white/10 hover:bg-white/20 text-white rounded-lg transition-colors flex items-center gap-1"
|
||||
>
|
||||
<span>⚙️</span>
|
||||
<span className="hidden sm:inline">账户</span>
|
||||
<svg className={`w-4 h-4 transition-transform ${isOpen ? 'rotate-180' : ''}`} fill="none" stroke="currentColor" viewBox="0 0 24 24">
|
||||
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 9l-7 7-7-7" />
|
||||
</svg>
|
||||
</button>
|
||||
|
||||
{/* 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">
|
||||
{/* 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>
|
||||
<div className="text-sm text-white font-medium">
|
||||
{user?.expires_at ? formatExpiry(user.expires_at) : '永久有效'}
|
||||
</div>
|
||||
</div>
|
||||
<button
|
||||
onClick={() => {
|
||||
setIsOpen(false);
|
||||
setShowPasswordModal(true);
|
||||
}}
|
||||
className="w-full px-3 py-2 text-left text-sm text-white hover:bg-white/10 flex items-center gap-2"
|
||||
>
|
||||
🔐 修改密码
|
||||
</button>
|
||||
<button
|
||||
onClick={handleLogout}
|
||||
className="w-full px-3 py-2 text-left text-sm text-red-300 hover:bg-red-500/20 flex items-center gap-2"
|
||||
>
|
||||
🚪 退出登录
|
||||
</button>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* 修改密码弹窗 */}
|
||||
{showPasswordModal && (
|
||||
<div className="fixed inset-0 z-[200] flex items-start justify-center pt-20 bg-black/60 backdrop-blur-sm p-4">
|
||||
<div className="w-full max-w-md p-6 bg-gray-900 border border-white/10 rounded-2xl shadow-2xl mx-4">
|
||||
<h3 className="text-xl font-bold text-white mb-4">修改密码</h3>
|
||||
<form onSubmit={handleChangePassword} className="space-y-4">
|
||||
<div>
|
||||
<label className="block text-sm text-gray-300 mb-1">当前密码</label>
|
||||
<input
|
||||
type="password"
|
||||
value={oldPassword}
|
||||
onChange={(e) => setOldPassword(e.target.value)}
|
||||
required
|
||||
className="w-full px-3 py-2 bg-white/5 border border-white/10 rounded-lg text-white placeholder-gray-500 focus:outline-none focus:ring-2 focus:ring-purple-500"
|
||||
placeholder="输入当前密码"
|
||||
/>
|
||||
</div>
|
||||
<div>
|
||||
<label className="block text-sm text-gray-300 mb-1">新密码</label>
|
||||
<input
|
||||
type="password"
|
||||
value={newPassword}
|
||||
onChange={(e) => setNewPassword(e.target.value)}
|
||||
required
|
||||
className="w-full px-3 py-2 bg-white/5 border border-white/10 rounded-lg text-white placeholder-gray-500 focus:outline-none focus:ring-2 focus:ring-purple-500"
|
||||
placeholder="至少6位"
|
||||
/>
|
||||
</div>
|
||||
<div>
|
||||
<label className="block text-sm text-gray-300 mb-1">确认新密码</label>
|
||||
<input
|
||||
type="password"
|
||||
value={confirmPassword}
|
||||
onChange={(e) => setConfirmPassword(e.target.value)}
|
||||
required
|
||||
className="w-full px-3 py-2 bg-white/5 border border-white/10 rounded-lg text-white placeholder-gray-500 focus:outline-none focus:ring-2 focus:ring-purple-500"
|
||||
placeholder="再次输入新密码"
|
||||
/>
|
||||
</div>
|
||||
|
||||
{error && (
|
||||
<div className="p-2 bg-red-500/20 border border-red-500/50 rounded text-red-200 text-sm">
|
||||
{error}
|
||||
</div>
|
||||
)}
|
||||
{success && (
|
||||
<div className="p-2 bg-green-500/20 border border-green-500/50 rounded text-green-200 text-sm">
|
||||
{success}
|
||||
</div>
|
||||
)}
|
||||
|
||||
<div className="flex gap-3 pt-2">
|
||||
<button
|
||||
type="button"
|
||||
onClick={() => {
|
||||
setShowPasswordModal(false);
|
||||
setError('');
|
||||
setOldPassword('');
|
||||
setNewPassword('');
|
||||
setConfirmPassword('');
|
||||
}}
|
||||
className="flex-1 py-2 bg-white/10 hover:bg-white/20 text-white rounded-lg transition-colors"
|
||||
>
|
||||
取消
|
||||
</button>
|
||||
<button
|
||||
type="submit"
|
||||
disabled={loading}
|
||||
className="flex-1 py-2 bg-gradient-to-r from-purple-600 to-pink-600 hover:from-purple-700 hover:to-pink-700 text-white rounded-lg transition-colors disabled:opacity-50"
|
||||
>
|
||||
{loading ? '修改中...' : '确认修改'}
|
||||
</button>
|
||||
</div>
|
||||
</form>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
42
frontend/src/components/GlobalTaskIndicator.tsx
Normal file
42
frontend/src/components/GlobalTaskIndicator.tsx
Normal file
@@ -0,0 +1,42 @@
|
||||
"use client";
|
||||
|
||||
import { useTask } from "@/contexts/TaskContext";
|
||||
import Link from "next/link";
|
||||
|
||||
export default function GlobalTaskIndicator() {
|
||||
const { currentTask, isGenerating } = useTask();
|
||||
|
||||
if (!isGenerating) 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">
|
||||
<div className="max-w-6xl mx-auto px-6 py-3">
|
||||
<div className="flex items-center justify-between">
|
||||
<div className="flex items-center gap-3">
|
||||
<div className="animate-spin rounded-full h-5 w-5 border-2 border-white border-t-transparent"></div>
|
||||
<span className="font-medium">
|
||||
视频生成中... {currentTask?.progress || 0}%
|
||||
</span>
|
||||
{currentTask?.message && (
|
||||
<span className="text-white/80 text-sm">
|
||||
{currentTask.message}
|
||||
</span>
|
||||
)}
|
||||
</div>
|
||||
<Link
|
||||
href="/"
|
||||
className="px-3 py-1 bg-white/20 hover:bg-white/30 rounded transition-colors text-sm"
|
||||
>
|
||||
查看详情
|
||||
</Link>
|
||||
</div>
|
||||
<div className="mt-2 w-full bg-white/20 rounded-full h-1.5 overflow-hidden">
|
||||
<div
|
||||
className="bg-white h-full transition-all duration-300 ease-out"
|
||||
style={{ width: `${currentTask?.progress || 0}%` }}
|
||||
></div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
424
frontend/src/components/ScriptExtractionModal.tsx
Normal file
424
frontend/src/components/ScriptExtractionModal.tsx
Normal file
@@ -0,0 +1,424 @@
|
||||
"use client";
|
||||
|
||||
import { useState, useRef, useEffect } from "react";
|
||||
import api from "@/lib/axios";
|
||||
|
||||
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 } = await api.post('/api/tools/extract-script', formData, {
|
||||
headers: { 'Content-Type': 'multipart/form-data' },
|
||||
timeout: 180000 // 3 minutes timeout
|
||||
});
|
||||
|
||||
if (data.success) {
|
||||
setScript(data.original_script);
|
||||
setRewrittenScript(data.rewritten_script || "");
|
||||
setStep('result');
|
||||
} else {
|
||||
setError("提取失败：未知错误");
|
||||
setStep('config');
|
||||
}
|
||||
} catch (err: any) {
|
||||
console.error(err);
|
||||
const msg = err.response?.data?.detail || 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>
|
||||
);
|
||||
}
|
||||
64
frontend/src/components/VideoPreviewModal.tsx
Normal file
64
frontend/src/components/VideoPreviewModal.tsx
Normal file
@@ -0,0 +1,64 @@
|
||||
"use client";
|
||||
|
||||
import { useEffect } from "react";
|
||||
|
||||
interface VideoPreviewModalProps {
|
||||
videoUrl: string | null;
|
||||
onClose: () => void;
|
||||
}
|
||||
|
||||
export default function VideoPreviewModal({ videoUrl, onClose }: VideoPreviewModalProps) {
|
||||
useEffect(() => {
|
||||
// 按 ESC 关闭
|
||||
const handleEsc = (e: KeyboardEvent) => {
|
||||
if (e.key === 'Escape') onClose();
|
||||
};
|
||||
if (videoUrl) {
|
||||
document.addEventListener('keydown', handleEsc);
|
||||
// 禁止背景滚动
|
||||
document.body.style.overflow = 'hidden';
|
||||
}
|
||||
return () => {
|
||||
document.removeEventListener('keydown', handleEsc);
|
||||
document.body.style.overflow = 'unset';
|
||||
};
|
||||
}, [videoUrl, onClose]);
|
||||
|
||||
if (!videoUrl) return null;
|
||||
|
||||
return (
|
||||
<div className="fixed inset-0 z-[200] flex items-center justify-center bg-black/80 backdrop-blur-sm p-4 animate-in fade-in duration-200">
|
||||
<div className="relative w-full max-w-4xl bg-gray-900 border border-white/10 rounded-2xl shadow-2xl overflow-hidden flex flex-col">
|
||||
{/* Header */}
|
||||
<div className="flex items-center justify-between px-6 py-2 border-b border-white/10 bg-white/5">
|
||||
<h3 className="text-lg font-semibold text-white flex items-center gap-2">
|
||||
🎥 视频预览
|
||||
</h3>
|
||||
<button
|
||||
onClick={onClose}
|
||||
className="p-2 text-gray-400 hover:text-white hover:bg-white/10 rounded-lg transition-colors"
|
||||
>
|
||||
<svg className="w-6 h-6" fill="none" stroke="currentColor" viewBox="0 0 24 24">
|
||||
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M6 18L18 6M6 6l12 12" />
|
||||
</svg>
|
||||
</button>
|
||||
</div>
|
||||
|
||||
{/* Video Player */}
|
||||
<div className="bg-black flex items-center justify-center min-h-[50vh] max-h-[80vh]">
|
||||
<video
|
||||
src={videoUrl}
|
||||
controls
|
||||
autoPlay
|
||||
className="w-full h-full max-h-[80vh] object-contain"
|
||||
/>
|
||||
</div>
|
||||
|
||||
|
||||
</div>
|
||||
|
||||
{/* Click outside to close */}
|
||||
<div className="absolute inset-0 -z-10" onClick={onClose}></div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
80
frontend/src/contexts/AuthContext.tsx
Normal file
80
frontend/src/contexts/AuthContext.tsx
Normal file
@@ -0,0 +1,80 @@
|
||||
"use client";
|
||||
|
||||
import { createContext, useContext, useState, useEffect, ReactNode } from "react";
|
||||
import api from "@/lib/axios";
|
||||
|
||||
interface User {
|
||||
id: string;
|
||||
phone: string;
|
||||
username: string | null;
|
||||
role: string;
|
||||
is_active: boolean;
|
||||
expires_at: string | null;
|
||||
}
|
||||
|
||||
interface AuthContextType {
|
||||
userId: string | null;
|
||||
user: User | null;
|
||||
isLoading: boolean;
|
||||
isAuthenticated: boolean;
|
||||
}
|
||||
|
||||
const AuthContext = createContext<AuthContextType>({
|
||||
userId: null,
|
||||
user: null,
|
||||
isLoading: true,
|
||||
isAuthenticated: false,
|
||||
});
|
||||
|
||||
export function AuthProvider({ children }: { children: ReactNode }) {
|
||||
const [user, setUser] = useState<User | null>(null);
|
||||
const [isLoading, setIsLoading] = useState(true);
|
||||
|
||||
useEffect(() => {
|
||||
let retryCount = 0;
|
||||
const maxRetries = 2;
|
||||
|
||||
const fetchUser = async () => {
|
||||
console.log("[AuthContext] 开始获取用户信息...");
|
||||
try {
|
||||
const { data } = await api.get('/api/auth/me');
|
||||
console.log("[AuthContext] 获取用户信息成功:", data);
|
||||
if (data && data.id) {
|
||||
setUser(data);
|
||||
console.log("[AuthContext] 设置 user:", data);
|
||||
} else {
|
||||
console.warn("[AuthContext] 响应中没有用户数据");
|
||||
}
|
||||
setIsLoading(false);
|
||||
} catch (error) {
|
||||
console.error("[AuthContext] 获取用户信息失败:", error);
|
||||
// 重试逻辑
|
||||
if (retryCount < maxRetries) {
|
||||
retryCount++;
|
||||
console.log(`[AuthContext] 重试 ${retryCount}/${maxRetries}...`);
|
||||
setTimeout(fetchUser, 1000);
|
||||
} else {
|
||||
console.error("[AuthContext] 重试次数用尽，放弃获取用户信息");
|
||||
setIsLoading(false);
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
fetchUser();
|
||||
}, []);
|
||||
|
||||
return (
|
||||
<AuthContext.Provider value={{
|
||||
userId: user?.id || null,
|
||||
user,
|
||||
isLoading,
|
||||
isAuthenticated: !!user
|
||||
}}>
|
||||
{children}
|
||||
</AuthContext.Provider>
|
||||
);
|
||||
}
|
||||
|
||||
export function useAuth() {
|
||||
return useContext(AuthContext);
|
||||
}
|
||||
119
frontend/src/contexts/TaskContext.tsx
Normal file
119
frontend/src/contexts/TaskContext.tsx
Normal file
@@ -0,0 +1,119 @@
|
||||
"use client";
|
||||
|
||||
import { createContext, useContext, useState, useEffect, ReactNode } from "react";
|
||||
import api from "@/lib/axios";
|
||||
|
||||
interface Task {
|
||||
task_id: string;
|
||||
status: string;
|
||||
progress: number;
|
||||
message: string;
|
||||
download_url?: string;
|
||||
}
|
||||
|
||||
interface TaskContextType {
|
||||
currentTask: Task | null;
|
||||
isGenerating: boolean;
|
||||
startTask: (taskId: string) => void;
|
||||
clearTask: () => void;
|
||||
}
|
||||
|
||||
const TaskContext = createContext<TaskContextType | undefined>(undefined);
|
||||
|
||||
export function TaskProvider({ children }: { children: ReactNode }) {
|
||||
const [currentTask, setCurrentTask] = useState<Task | null>(null);
|
||||
const [isGenerating, setIsGenerating] = useState(false);
|
||||
const [taskId, setTaskId] = useState<string | null>(null);
|
||||
|
||||
// 轮询任务状态
|
||||
useEffect(() => {
|
||||
if (!taskId) return;
|
||||
|
||||
const pollTask = async () => {
|
||||
try {
|
||||
const { data } = await api.get(`/api/videos/tasks/${taskId}`);
|
||||
setCurrentTask(data);
|
||||
|
||||
// 处理任务完成、失败或不存在的情况
|
||||
if (data.status === "completed" || data.status === "failed" || data.status === "not_found") {
|
||||
setIsGenerating(false);
|
||||
setTaskId(null);
|
||||
// 清除 localStorage
|
||||
if (typeof window !== 'undefined') {
|
||||
const keys = Object.keys(localStorage);
|
||||
keys.forEach(key => {
|
||||
if (key.includes('_current_task')) {
|
||||
localStorage.removeItem(key);
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
} catch (error) {
|
||||
console.error("轮询任务失败:", error);
|
||||
setIsGenerating(false);
|
||||
setTaskId(null);
|
||||
// 清除 localStorage
|
||||
if (typeof window !== 'undefined') {
|
||||
const keys = Object.keys(localStorage);
|
||||
keys.forEach(key => {
|
||||
if (key.includes('_current_task')) {
|
||||
localStorage.removeItem(key);
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
// 立即执行一次
|
||||
pollTask();
|
||||
|
||||
// 每秒轮询
|
||||
const interval = setInterval(pollTask, 1000);
|
||||
|
||||
return () => clearInterval(interval);
|
||||
}, [taskId]);
|
||||
|
||||
// 页面加载时恢复任务
|
||||
useEffect(() => {
|
||||
if (typeof window === 'undefined') return;
|
||||
|
||||
// 查找所有可能的任务ID
|
||||
const keys = Object.keys(localStorage);
|
||||
const taskKey = keys.find(key => key.includes('_current_task'));
|
||||
|
||||
if (taskKey) {
|
||||
const savedTaskId = localStorage.getItem(taskKey);
|
||||
if (savedTaskId) {
|
||||
console.log("[TaskContext] 恢复任务:", savedTaskId);
|
||||
setTaskId(savedTaskId);
|
||||
setIsGenerating(true);
|
||||
}
|
||||
}
|
||||
}, []);
|
||||
|
||||
const startTask = (newTaskId: string) => {
|
||||
setTaskId(newTaskId);
|
||||
setIsGenerating(true);
|
||||
setCurrentTask(null);
|
||||
};
|
||||
|
||||
const clearTask = () => {
|
||||
setTaskId(null);
|
||||
setIsGenerating(false);
|
||||
setCurrentTask(null);
|
||||
};
|
||||
|
||||
return (
|
||||
<TaskContext.Provider value={{ currentTask, isGenerating, startTask, clearTask }}>
|
||||
{children}
|
||||
</TaskContext.Provider>
|
||||
);
|
||||
}
|
||||
|
||||
export function useTask() {
|
||||
const context = useContext(TaskContext);
|
||||
if (context === undefined) {
|
||||
throw new Error("useTask must be used within a TaskProvider");
|
||||
}
|
||||
return context;
|
||||
}
|
||||
@@ -8,10 +8,11 @@ const API_BASE = typeof window === 'undefined'
|
||||
|
||||
export interface User {
|
||||
id: string;
|
||||
email: string;
|
||||
phone: string;
|
||||
username: string | null;
|
||||
role: string;
|
||||
is_active: boolean;
|
||||
expires_at: string | null;
|
||||
}
|
||||
|
||||
export interface AuthResponse {
|
||||
@@ -23,12 +24,12 @@ export interface AuthResponse {
|
||||
/**
|
||||
* 用户注册
|
||||
*/
|
||||
export async function register(email: string, password: string, username?: string): Promise<AuthResponse> {
|
||||
export async function register(phone: string, password: string, username?: string): Promise<AuthResponse> {
|
||||
const res = await fetch(`${API_BASE}/api/auth/register`, {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
credentials: 'include',
|
||||
body: JSON.stringify({ email, password, username })
|
||||
body: JSON.stringify({ phone, password, username })
|
||||
});
|
||||
return res.json();
|
||||
}
|
||||
@@ -36,12 +37,12 @@ export async function register(email: string, password: string, username?: strin
|
||||
/**
|
||||
* 用户登录
|
||||
*/
|
||||
export async function login(email: string, password: string): Promise<AuthResponse> {
|
||||
export async function login(phone: string, password: string): Promise<AuthResponse> {
|
||||
const res = await fetch(`${API_BASE}/api/auth/login`, {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
credentials: 'include',
|
||||
body: JSON.stringify({ email, password })
|
||||
body: JSON.stringify({ phone, password })
|
||||
});
|
||||
return res.json();
|
||||
}
|
||||
@@ -57,6 +58,19 @@ export async function logout(): Promise<AuthResponse> {
|
||||
return res.json();
|
||||
}
|
||||
|
||||
/**
|
||||
* 修改密码
|
||||
*/
|
||||
export async function changePassword(oldPassword: string, newPassword: string): Promise<AuthResponse> {
|
||||
const res = await fetch(`${API_BASE}/api/auth/change-password`, {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
credentials: 'include',
|
||||
body: JSON.stringify({ old_password: oldPassword, new_password: newPassword })
|
||||
});
|
||||
return res.json();
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取当前用户
|
||||
*/
|
||||
|
||||
@@ -12,6 +12,8 @@ const API_BASE = typeof window === 'undefined'
|
||||
// 防止重复跳转
|
||||
let isRedirecting = false;
|
||||
|
||||
const PUBLIC_PATHS = new Set(['/login', '/register']);
|
||||
|
||||
// 创建 axios 实例
|
||||
const api = axios.create({
|
||||
baseURL: API_BASE,
|
||||
@@ -27,7 +29,9 @@ api.interceptors.response.use(
|
||||
async (error) => {
|
||||
const status = error.response?.status;
|
||||
|
||||
if ((status === 401 || status === 403) && !isRedirecting) {
|
||||
const isPublicPath = typeof window !== 'undefined' && PUBLIC_PATHS.has(window.location.pathname);
|
||||
|
||||
if ((status === 401 || status === 403) && !isRedirecting && !isPublicPath) {
|
||||
isRedirecting = true;
|
||||
|
||||
// 调用 logout API 清除 HttpOnly cookie
|
||||
|
||||
@@ -1,33 +0,0 @@
|
||||
import { NextResponse } from 'next/server';
|
||||
import type { NextRequest } from 'next/server';
|
||||
|
||||
// 需要登录才能访问的路径
|
||||
const protectedPaths = ['/', '/publish', '/admin'];
|
||||
|
||||
// 公开路径 (无需登录)
|
||||
const publicPaths = ['/login', '/register'];
|
||||
|
||||
export function middleware(request: NextRequest) {
|
||||
const { pathname } = request.nextUrl;
|
||||
|
||||
// 检查是否有 access_token cookie
|
||||
const token = request.cookies.get('access_token');
|
||||
|
||||
// 访问受保护页面但未登录 → 重定向到登录页
|
||||
if (protectedPaths.some(path => pathname === path || pathname.startsWith(path + '/')) && !token) {
|
||||
const loginUrl = new URL('/login', request.url);
|
||||
loginUrl.searchParams.set('from', pathname);
|
||||
return NextResponse.redirect(loginUrl);
|
||||
}
|
||||
|
||||
// 已登录用户访问登录/注册页 → 重定向到首页
|
||||
if (publicPaths.includes(pathname) && token) {
|
||||
return NextResponse.redirect(new URL('/', request.url));
|
||||
}
|
||||
|
||||
return NextResponse.next();
|
||||
}
|
||||
|
||||
export const config = {
|
||||
matcher: ['/', '/publish/:path*', '/admin/:path*', '/login', '/register']
|
||||
};
|
||||
189
models/Qwen3-TTS/qwen_tts_server.py
Normal file
189
models/Qwen3-TTS/qwen_tts_server.py
Normal file
@@ -0,0 +1,189 @@
|
||||
"""
|
||||
Qwen3-TTS 独立推理服务
|
||||
端口: 8009
|
||||
GPU: 0
|
||||
|
||||
启动方式:
|
||||
conda activate qwen-tts
|
||||
python qwen_tts_server.py
|
||||
|
||||
PM2 启动:
|
||||
pm2 start qwen_tts_server.py --name qwen-tts --interpreter /home/rongye/ProgramFiles/miniconda3/envs/qwen-tts/bin/python
|
||||
"""
|
||||
import os
|
||||
import sys
|
||||
import tempfile
|
||||
import time
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
# 设置 GPU
|
||||
os.environ["CUDA_VISIBLE_DEVICES"] = "0"
|
||||
|
||||
from fastapi import FastAPI, HTTPException, UploadFile, File, Form
|
||||
from fastapi.responses import FileResponse
|
||||
from pydantic import BaseModel
|
||||
import uvicorn
|
||||
|
||||
app = FastAPI(title="Qwen3-TTS Voice Clone Service", version="1.0")
|
||||
|
||||
# 模型路径 (1.7B-Base 提供更高质量的声音克隆)
|
||||
MODEL_PATH = Path(__file__).parent / "checkpoints" / "1.7B-Base"
|
||||
|
||||
# 全局模型实例
|
||||
_model = None
|
||||
_model_loaded = False
|
||||
|
||||
|
||||
def load_model():
|
||||
"""加载模型（启动时调用）"""
|
||||
global _model, _model_loaded
|
||||
|
||||
if _model_loaded:
|
||||
return
|
||||
|
||||
print("🔄 Loading Qwen3-TTS model...")
|
||||
start = time.time()
|
||||
|
||||
import torch
|
||||
from qwen_tts import Qwen3TTSModel
|
||||
|
||||
_model = Qwen3TTSModel.from_pretrained(
|
||||
str(MODEL_PATH),
|
||||
device_map="cuda:0",
|
||||
dtype=torch.bfloat16,
|
||||
)
|
||||
|
||||
_model_loaded = True
|
||||
print(f"✅ Qwen3-TTS model loaded in {time.time() - start:.1f}s")
|
||||
|
||||
|
||||
class GenerateRequest(BaseModel):
|
||||
text: str
|
||||
ref_text: str
|
||||
language: str = "Chinese"
|
||||
|
||||
|
||||
class HealthResponse(BaseModel):
|
||||
service: str
|
||||
model: str
|
||||
ready: bool
|
||||
gpu_id: int
|
||||
|
||||
|
||||
@app.on_event("startup")
|
||||
async def startup():
|
||||
"""服务启动时预加载模型"""
|
||||
try:
|
||||
load_model()
|
||||
except Exception as e:
|
||||
print(f"❌ Model loading failed: {e}")
|
||||
|
||||
|
||||
@app.get("/health", response_model=HealthResponse)
|
||||
async def health():
|
||||
"""健康检查"""
|
||||
gpu_ok = False
|
||||
try:
|
||||
import torch
|
||||
gpu_ok = torch.cuda.is_available()
|
||||
except:
|
||||
pass
|
||||
|
||||
return HealthResponse(
|
||||
service="Qwen3-TTS Voice Clone",
|
||||
model="1.7B-Base",
|
||||
ready=_model_loaded and gpu_ok,
|
||||
gpu_id=0
|
||||
)
|
||||
|
||||
|
||||
@app.post("/generate")
|
||||
async def generate(
|
||||
ref_audio: UploadFile = File(...),
|
||||
text: str = Form(...),
|
||||
ref_text: str = Form(...),
|
||||
language: str = Form("Chinese")
|
||||
):
|
||||
"""
|
||||
声音克隆生成
|
||||
|
||||
Args:
|
||||
ref_audio: 参考音频文件 (WAV)
|
||||
text: 要合成的文本
|
||||
ref_text: 参考音频的转写文字
|
||||
language: 语言 (Chinese/English/Auto)
|
||||
|
||||
Returns:
|
||||
生成的音频文件 (WAV)
|
||||
"""
|
||||
if not _model_loaded:
|
||||
raise HTTPException(status_code=503, detail="Model not loaded")
|
||||
|
||||
import soundfile as sf
|
||||
|
||||
# 保存上传的参考音频到临时文件
|
||||
with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_ref:
|
||||
content = await ref_audio.read()
|
||||
tmp_ref.write(content)
|
||||
ref_audio_path = tmp_ref.name
|
||||
|
||||
# 生成输出路径
|
||||
output_path = tempfile.mktemp(suffix=".wav")
|
||||
|
||||
try:
|
||||
print(f"🎤 Generating: {text[:30]}...")
|
||||
print(f"📝 Ref text: {ref_text[:50]}...")
|
||||
|
||||
start = time.time()
|
||||
|
||||
wavs, sr = _model.generate_voice_clone(
|
||||
text=text,
|
||||
language=language,
|
||||
ref_audio=ref_audio_path,
|
||||
ref_text=ref_text,
|
||||
)
|
||||
|
||||
sf.write(output_path, wavs[0], sr)
|
||||
|
||||
duration = len(wavs[0]) / sr
|
||||
print(f"✅ Generated in {time.time() - start:.1f}s, duration: {duration:.1f}s")
|
||||
|
||||
# 返回音频文件
|
||||
return FileResponse(
|
||||
output_path,
|
||||
media_type="audio/wav",
|
||||
filename="output.wav",
|
||||
background=None # 让客户端下载完再删除
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
print(f"❌ Generation failed: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
finally:
|
||||
# 清理参考音频临时文件
|
||||
try:
|
||||
os.unlink(ref_audio_path)
|
||||
except:
|
||||
pass
|
||||
|
||||
|
||||
@app.on_event("shutdown")
|
||||
async def shutdown():
|
||||
"""清理临时文件"""
|
||||
# 清理 /tmp 中的残留文件
|
||||
import glob
|
||||
for f in glob.glob("/tmp/tmp*.wav"):
|
||||
try:
|
||||
os.unlink(f)
|
||||
except:
|
||||
pass
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
uvicorn.run(
|
||||
app,
|
||||
host="0.0.0.0",
|
||||
port=8009,
|
||||
log_level="info"
|
||||
)
|
||||
2907
remotion/package-lock.json
generated
Normal file
2907
remotion/package-lock.json
generated
Normal file
File diff suppressed because it is too large
Load Diff
24
remotion/package.json
Normal file
24
remotion/package.json
Normal file
@@ -0,0 +1,24 @@
|
||||
{
|
||||
"name": "vigent-remotion",
|
||||
"version": "1.0.0",
|
||||
"description": "Remotion video composition for ViGent2 subtitles and titles",
|
||||
"scripts": {
|
||||
"start": "remotion studio",
|
||||
"build": "remotion bundle",
|
||||
"render": "npx ts-node render.ts"
|
||||
},
|
||||
"dependencies": {
|
||||
"remotion": "^4.0.0",
|
||||
"@remotion/renderer": "^4.0.0",
|
||||
"@remotion/cli": "^4.0.0",
|
||||
"@remotion/media-utils": "^4.0.0",
|
||||
"react": "^18.2.0",
|
||||
"react-dom": "^18.2.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/node": "^20.0.0",
|
||||
"@types/react": "^18.2.0",
|
||||
"typescript": "^5.0.0",
|
||||
"ts-node": "^10.9.0"
|
||||
}
|
||||
}
|
||||
171
remotion/render.ts
Normal file
171
remotion/render.ts
Normal file
@@ -0,0 +1,171 @@
|
||||
/**
|
||||
* Remotion 服务端渲染脚本
|
||||
* 用于从命令行渲染视频
|
||||
*
|
||||
* 使用方式:
|
||||
* npx ts-node render.ts --video /path/to/video.mp4 --captions /path/to/captions.json --title "视频标题" --output /path/to/output.mp4
|
||||
*/
|
||||
|
||||
import { bundle } from '@remotion/bundler';
|
||||
import { renderMedia, selectComposition } from '@remotion/renderer';
|
||||
import path from 'path';
|
||||
import fs from 'fs';
|
||||
|
||||
interface RenderOptions {
|
||||
videoPath: string;
|
||||
captionsPath?: string;
|
||||
title?: string;
|
||||
titleDuration?: number;
|
||||
outputPath: string;
|
||||
fps?: number;
|
||||
enableSubtitles?: boolean;
|
||||
width?: number;
|
||||
height?: number;
|
||||
}
|
||||
|
||||
async function parseArgs(): Promise<RenderOptions> {
|
||||
const args = process.argv.slice(2);
|
||||
const options: Partial<RenderOptions> = {};
|
||||
|
||||
for (let i = 0; i < args.length; i += 2) {
|
||||
const key = args[i].replace('--', '');
|
||||
const value = args[i + 1];
|
||||
|
||||
switch (key) {
|
||||
case 'video':
|
||||
options.videoPath = value;
|
||||
break;
|
||||
case 'captions':
|
||||
options.captionsPath = value;
|
||||
break;
|
||||
case 'title':
|
||||
options.title = value;
|
||||
break;
|
||||
case 'titleDuration':
|
||||
options.titleDuration = parseFloat(value);
|
||||
break;
|
||||
case 'output':
|
||||
options.outputPath = value;
|
||||
break;
|
||||
case 'fps':
|
||||
options.fps = parseInt(value, 10);
|
||||
break;
|
||||
case 'enableSubtitles':
|
||||
options.enableSubtitles = value === 'true';
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
if (!options.videoPath || !options.outputPath) {
|
||||
console.error('Usage: npx ts-node render.ts --video <path> --output <path> [--captions <path>] [--title <text>] [--fps <number>]');
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
return options as RenderOptions;
|
||||
}
|
||||
|
||||
async function main() {
|
||||
const options = await parseArgs();
|
||||
const fps = options.fps || 25;
|
||||
|
||||
console.log('Starting Remotion render...');
|
||||
console.log('Options:', JSON.stringify(options, null, 2));
|
||||
|
||||
// 读取字幕数据
|
||||
let captions = undefined;
|
||||
if (options.captionsPath && fs.existsSync(options.captionsPath)) {
|
||||
const captionsContent = fs.readFileSync(options.captionsPath, 'utf-8');
|
||||
captions = JSON.parse(captionsContent);
|
||||
console.log(`Loaded captions with ${captions.segments?.length || 0} segments`);
|
||||
}
|
||||
|
||||
// 获取视频时长和尺寸
|
||||
let durationInFrames = 300; // 默认 12 秒
|
||||
let videoWidth = 1280;
|
||||
let videoHeight = 720;
|
||||
try {
|
||||
// 使用 ffprobe 获取视频时长
|
||||
const { execSync } = require('child_process');
|
||||
const ffprobeOutput = execSync(
|
||||
`ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1 "${options.videoPath}"`,
|
||||
{ encoding: 'utf-8' }
|
||||
);
|
||||
const durationInSeconds = parseFloat(ffprobeOutput.trim());
|
||||
durationInFrames = Math.ceil(durationInSeconds * fps);
|
||||
console.log(`Video duration: ${durationInSeconds}s (${durationInFrames} frames at ${fps}fps)`);
|
||||
|
||||
// 使用 ffprobe 获取视频尺寸
|
||||
const dimensionsOutput = execSync(
|
||||
`ffprobe -v error -select_streams v:0 -show_entries stream=width,height -of csv=s=x:p=0 "${options.videoPath}"`,
|
||||
{ encoding: 'utf-8' }
|
||||
);
|
||||
const [width, height] = dimensionsOutput.trim().split('x').map(Number);
|
||||
if (width && height) {
|
||||
videoWidth = width;
|
||||
videoHeight = height;
|
||||
console.log(`Video dimensions: ${videoWidth}x${videoHeight}`);
|
||||
}
|
||||
} catch (e) {
|
||||
console.warn('Could not get video duration, using default:', e);
|
||||
}
|
||||
|
||||
// 设置 publicDir 为视频文件所在目录，使用文件名作为 videoSrc
|
||||
const publicDir = path.dirname(path.resolve(options.videoPath));
|
||||
const videoFileName = path.basename(options.videoPath);
|
||||
console.log(`Public dir: ${publicDir}, Video file: ${videoFileName}`);
|
||||
|
||||
// Bundle the Remotion project
|
||||
console.log('Bundling Remotion project...');
|
||||
const bundleLocation = await bundle({
|
||||
entryPoint: path.resolve(__dirname, './src/index.ts'),
|
||||
webpackOverride: (config) => config,
|
||||
publicDir,
|
||||
});
|
||||
|
||||
// Select the composition
|
||||
const composition = await selectComposition({
|
||||
serveUrl: bundleLocation,
|
||||
id: 'ViGentVideo',
|
||||
inputProps: {
|
||||
videoSrc: videoFileName,
|
||||
captions,
|
||||
title: options.title,
|
||||
titleDuration: options.titleDuration || 3,
|
||||
enableSubtitles: options.enableSubtitles !== false,
|
||||
},
|
||||
});
|
||||
|
||||
// Override duration and dimensions
|
||||
composition.durationInFrames = durationInFrames;
|
||||
composition.fps = fps;
|
||||
composition.width = videoWidth;
|
||||
composition.height = videoHeight;
|
||||
|
||||
// Render the video
|
||||
console.log('Rendering video...');
|
||||
await renderMedia({
|
||||
composition,
|
||||
serveUrl: bundleLocation,
|
||||
codec: 'h264',
|
||||
outputLocation: options.outputPath,
|
||||
inputProps: {
|
||||
videoSrc: videoFileName,
|
||||
captions,
|
||||
title: options.title,
|
||||
titleDuration: options.titleDuration || 3,
|
||||
enableSubtitles: options.enableSubtitles !== false,
|
||||
},
|
||||
onProgress: ({ progress }) => {
|
||||
const percent = Math.round(progress * 100);
|
||||
process.stdout.write(`\rRendering: ${percent}%`);
|
||||
},
|
||||
});
|
||||
|
||||
console.log('\nRender complete!');
|
||||
console.log(`Output: ${options.outputPath}`);
|
||||
}
|
||||
|
||||
main().catch((err) => {
|
||||
console.error('Render failed:', err);
|
||||
process.exit(1);
|
||||
});
|
||||
30
remotion/src/Root.tsx
Normal file
30
remotion/src/Root.tsx
Normal file
@@ -0,0 +1,30 @@
|
||||
import React from 'react';
|
||||
import { Composition } from 'remotion';
|
||||
import { Video, VideoProps } from './Video';
|
||||
|
||||
/**
|
||||
* Remotion 根组件
|
||||
* 定义视频合成配置
|
||||
*/
|
||||
export const RemotionRoot: React.FC = () => {
|
||||
return (
|
||||
<>
|
||||
<Composition
|
||||
id="ViGentVideo"
|
||||
component={Video}
|
||||
durationInFrames={300} // 默认值，会被 render.ts 覆盖
|
||||
fps={25}
|
||||
width={1280}
|
||||
height={720}
|
||||
defaultProps={{
|
||||
videoSrc: '',
|
||||
audioSrc: undefined,
|
||||
captions: undefined,
|
||||
title: undefined,
|
||||
titleDuration: 3,
|
||||
enableSubtitles: true,
|
||||
}}
|
||||
/>
|
||||
</>
|
||||
);
|
||||
};
|
||||
45
remotion/src/Video.tsx
Normal file
45
remotion/src/Video.tsx
Normal file
@@ -0,0 +1,45 @@
|
||||
import React from 'react';
|
||||
import { AbsoluteFill, Composition } from 'remotion';
|
||||
import { VideoLayer } from './components/VideoLayer';
|
||||
import { Title } from './components/Title';
|
||||
import { Subtitles } from './components/Subtitles';
|
||||
import { CaptionsData } from './utils/captions';
|
||||
|
||||
export interface VideoProps {
|
||||
videoSrc: string;
|
||||
audioSrc?: string;
|
||||
captions?: CaptionsData;
|
||||
title?: string;
|
||||
titleDuration?: number;
|
||||
enableSubtitles?: boolean;
|
||||
}
|
||||
|
||||
/**
|
||||
* 主视频组件
|
||||
* 组合视频层、标题层和字幕层
|
||||
*/
|
||||
export const Video: React.FC<VideoProps> = ({
|
||||
videoSrc,
|
||||
audioSrc,
|
||||
captions,
|
||||
title,
|
||||
titleDuration = 3,
|
||||
enableSubtitles = true,
|
||||
}) => {
|
||||
return (
|
||||
<AbsoluteFill style={{ backgroundColor: 'black' }}>
|
||||
{/* 底层：视频 */}
|
||||
<VideoLayer videoSrc={videoSrc} audioSrc={audioSrc} />
|
||||
|
||||
{/* 中层：字幕 */}
|
||||
{enableSubtitles && captions && (
|
||||
<Subtitles captions={captions} />
|
||||
)}
|
||||
|
||||
{/* 顶层：标题 */}
|
||||
{title && (
|
||||
<Title title={title} duration={titleDuration} />
|
||||
)}
|
||||
</AbsoluteFill>
|
||||
);
|
||||
};
|
||||
87
remotion/src/components/Subtitles.tsx
Normal file
87
remotion/src/components/Subtitles.tsx
Normal file
@@ -0,0 +1,87 @@
|
||||
import React from 'react';
|
||||
import { AbsoluteFill, useCurrentFrame, useVideoConfig } from 'remotion';
|
||||
import {
|
||||
CaptionsData,
|
||||
getCurrentSegment,
|
||||
getCurrentWordIndex,
|
||||
} from '../utils/captions';
|
||||
|
||||
interface SubtitlesProps {
|
||||
captions: CaptionsData;
|
||||
highlightColor?: string;
|
||||
normalColor?: string;
|
||||
fontSize?: number;
|
||||
}
|
||||
|
||||
/**
|
||||
* 逐字高亮字幕组件
|
||||
* 根据时间戳逐字高亮显示字幕（无背景，纯文字描边）
|
||||
*/
|
||||
export const Subtitles: React.FC<SubtitlesProps> = ({
|
||||
captions,
|
||||
highlightColor = '#FFFF00',
|
||||
normalColor = '#FFFFFF',
|
||||
fontSize = 52,
|
||||
}) => {
|
||||
const frame = useCurrentFrame();
|
||||
const { fps } = useVideoConfig();
|
||||
|
||||
const currentTimeInSeconds = frame / fps;
|
||||
|
||||
// 获取当前段落
|
||||
const currentSegment = getCurrentSegment(captions, currentTimeInSeconds);
|
||||
|
||||
if (!currentSegment || currentSegment.words.length === 0) {
|
||||
return null;
|
||||
}
|
||||
|
||||
// 获取当前高亮字的索引
|
||||
const currentWordIndex = getCurrentWordIndex(currentSegment, currentTimeInSeconds);
|
||||
|
||||
return (
|
||||
<AbsoluteFill
|
||||
style={{
|
||||
justifyContent: 'flex-end',
|
||||
alignItems: 'center',
|
||||
paddingBottom: '6%',
|
||||
}}
|
||||
>
|
||||
<p
|
||||
style={{
|
||||
margin: 0,
|
||||
fontSize: `${fontSize}px`,
|
||||
fontFamily: '"PingFang SC", "Hiragino Sans GB", "Microsoft YaHei", "Noto Sans SC", sans-serif',
|
||||
fontWeight: 800,
|
||||
lineHeight: 1.4,
|
||||
textAlign: 'center',
|
||||
maxWidth: '90%',
|
||||
wordBreak: 'keep-all',
|
||||
letterSpacing: '2px',
|
||||
}}
|
||||
>
|
||||
{currentSegment.words.map((word, index) => {
|
||||
const isHighlighted = index <= currentWordIndex;
|
||||
return (
|
||||
<span
|
||||
key={`${word.word}-${index}`}
|
||||
style={{
|
||||
color: isHighlighted ? highlightColor : normalColor,
|
||||
textShadow: `
|
||||
-3px -3px 0 #000,
|
||||
3px -3px 0 #000,
|
||||
-3px 3px 0 #000,
|
||||
3px 3px 0 #000,
|
||||
0 0 12px rgba(0,0,0,0.9),
|
||||
0 4px 8px rgba(0,0,0,0.6)
|
||||
`,
|
||||
transition: 'color 0.05s ease',
|
||||
}}
|
||||
>
|
||||
{word.word}
|
||||
</span>
|
||||
);
|
||||
})}
|
||||
</p>
|
||||
</AbsoluteFill>
|
||||
);
|
||||
};
|
||||
93
remotion/src/components/Title.tsx
Normal file
93
remotion/src/components/Title.tsx
Normal file
@@ -0,0 +1,93 @@
|
||||
import React from 'react';
|
||||
import {
|
||||
AbsoluteFill,
|
||||
interpolate,
|
||||
useCurrentFrame,
|
||||
useVideoConfig,
|
||||
} from 'remotion';
|
||||
|
||||
interface TitleProps {
|
||||
title: string;
|
||||
duration?: number; // 标题显示时长（秒）
|
||||
fadeOutStart?: number; // 开始淡出的时间（秒）
|
||||
}
|
||||
|
||||
/**
|
||||
* 片头标题组件
|
||||
* 在视频顶部显示标题，带淡入淡出效果
|
||||
*/
|
||||
export const Title: React.FC<TitleProps> = ({
|
||||
title,
|
||||
duration = 3,
|
||||
fadeOutStart = 2,
|
||||
}) => {
|
||||
const frame = useCurrentFrame();
|
||||
const { fps } = useVideoConfig();
|
||||
|
||||
const currentTimeInSeconds = frame / fps;
|
||||
|
||||
// 如果超过显示时长，不渲染
|
||||
if (currentTimeInSeconds > duration) {
|
||||
return null;
|
||||
}
|
||||
|
||||
// 淡入效果 (0-0.5秒)
|
||||
const fadeInOpacity = interpolate(
|
||||
currentTimeInSeconds,
|
||||
[0, 0.5],
|
||||
[0, 1],
|
||||
{ extrapolateRight: 'clamp' }
|
||||
);
|
||||
|
||||
// 淡出效果
|
||||
const fadeOutOpacity = interpolate(
|
||||
currentTimeInSeconds,
|
||||
[fadeOutStart, duration],
|
||||
[1, 0],
|
||||
{ extrapolateLeft: 'clamp', extrapolateRight: 'clamp' }
|
||||
);
|
||||
|
||||
const opacity = Math.min(fadeInOpacity, fadeOutOpacity);
|
||||
|
||||
// 轻微的下滑动画
|
||||
const translateY = interpolate(
|
||||
currentTimeInSeconds,
|
||||
[0, 0.5],
|
||||
[-20, 0],
|
||||
{ extrapolateRight: 'clamp' }
|
||||
);
|
||||
|
||||
return (
|
||||
<AbsoluteFill
|
||||
style={{
|
||||
justifyContent: 'flex-start',
|
||||
alignItems: 'center',
|
||||
paddingTop: '6%',
|
||||
opacity,
|
||||
}}
|
||||
>
|
||||
<h1
|
||||
style={{
|
||||
transform: `translateY(${translateY}px)`,
|
||||
textAlign: 'center',
|
||||
color: '#FFFFFF',
|
||||
fontSize: '72px',
|
||||
fontWeight: 900,
|
||||
fontFamily: '"PingFang SC", "Hiragino Sans GB", "Microsoft YaHei", "Noto Sans SC", sans-serif',
|
||||
textShadow: `
|
||||
0 0 10px rgba(0,0,0,0.9),
|
||||
0 0 20px rgba(0,0,0,0.7),
|
||||
0 4px 8px rgba(0,0,0,0.8),
|
||||
0 8px 16px rgba(0,0,0,0.5)
|
||||
`,
|
||||
margin: 0,
|
||||
padding: '0 5%',
|
||||
lineHeight: 1.3,
|
||||
letterSpacing: '4px',
|
||||
}}
|
||||
>
|
||||
{title}
|
||||
</h1>
|
||||
</AbsoluteFill>
|
||||
);
|
||||
};
|
||||
34
remotion/src/components/VideoLayer.tsx
Normal file
34
remotion/src/components/VideoLayer.tsx
Normal file
@@ -0,0 +1,34 @@
|
||||
import React from 'react';
|
||||
import { AbsoluteFill, OffthreadVideo, Audio, staticFile } from 'remotion';
|
||||
|
||||
interface VideoLayerProps {
|
||||
videoSrc: string;
|
||||
audioSrc?: string;
|
||||
}
|
||||
|
||||
/**
|
||||
* 视频图层组件
|
||||
* 渲染底层视频和音频，视频自动循环以匹配音频长度
|
||||
*/
|
||||
export const VideoLayer: React.FC<VideoLayerProps> = ({
|
||||
videoSrc,
|
||||
audioSrc,
|
||||
}) => {
|
||||
// 使用 staticFile 从 publicDir 加载视频
|
||||
const videoUrl = staticFile(videoSrc);
|
||||
|
||||
return (
|
||||
<AbsoluteFill>
|
||||
<OffthreadVideo
|
||||
src={videoUrl}
|
||||
loop
|
||||
style={{
|
||||
width: '100%',
|
||||
height: '100%',
|
||||
objectFit: 'cover',
|
||||
}}
|
||||
/>
|
||||
{audioSrc && <Audio src={staticFile(audioSrc)} />}
|
||||
</AbsoluteFill>
|
||||
);
|
||||
};
|
||||
4
remotion/src/index.ts
Normal file
4
remotion/src/index.ts
Normal file
@@ -0,0 +1,4 @@
|
||||
import { registerRoot } from 'remotion';
|
||||
import { RemotionRoot } from './Root';
|
||||
|
||||
registerRoot(RemotionRoot);
|
||||
66
remotion/src/utils/captions.ts
Normal file
66
remotion/src/utils/captions.ts
Normal file
@@ -0,0 +1,66 @@
|
||||
/**
|
||||
* 字幕数据类型定义和处理工具
|
||||
*/
|
||||
|
||||
export interface WordTimestamp {
|
||||
word: string;
|
||||
start: number;
|
||||
end: number;
|
||||
}
|
||||
|
||||
export interface Segment {
|
||||
text: string;
|
||||
start: number;
|
||||
end: number;
|
||||
words: WordTimestamp[];
|
||||
}
|
||||
|
||||
export interface CaptionsData {
|
||||
segments: Segment[];
|
||||
}
|
||||
|
||||
/**
|
||||
* 根据当前时间获取应该显示的字幕段落
|
||||
*/
|
||||
export function getCurrentSegment(
|
||||
captions: CaptionsData,
|
||||
currentTimeInSeconds: number
|
||||
): Segment | null {
|
||||
for (const segment of captions.segments) {
|
||||
if (currentTimeInSeconds >= segment.start && currentTimeInSeconds <= segment.end) {
|
||||
return segment;
|
||||
}
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
/**
|
||||
* 根据当前时间获取当前高亮的字的索引
|
||||
*/
|
||||
export function getCurrentWordIndex(
|
||||
segment: Segment,
|
||||
currentTimeInSeconds: number
|
||||
): number {
|
||||
for (let i = 0; i < segment.words.length; i++) {
|
||||
const word = segment.words[i];
|
||||
if (currentTimeInSeconds >= word.start && currentTimeInSeconds <= word.end) {
|
||||
return i;
|
||||
}
|
||||
// 如果当前时间在两个字之间，返回前一个字
|
||||
if (i < segment.words.length - 1) {
|
||||
const nextWord = segment.words[i + 1];
|
||||
if (currentTimeInSeconds > word.end && currentTimeInSeconds < nextWord.start) {
|
||||
return i;
|
||||
}
|
||||
}
|
||||
}
|
||||
// 如果超过最后一个字的结束时间，返回最后一个字
|
||||
if (segment.words.length > 0) {
|
||||
const lastWord = segment.words[segment.words.length - 1];
|
||||
if (currentTimeInSeconds >= lastWord.end) {
|
||||
return segment.words.length - 1;
|
||||
}
|
||||
}
|
||||
return -1;
|
||||
}
|
||||
|
||||
19
remotion/tsconfig.json
Normal file
19
remotion/tsconfig.json
Normal file
@@ -0,0 +1,19 @@
|
||||
{
|
||||
"compilerOptions": {
|
||||
"target": "ES2020",
|
||||
"module": "commonjs",
|
||||
"lib": ["ES2020", "DOM"],
|
||||
"jsx": "react-jsx",
|
||||
"strict": true,
|
||||
"esModuleInterop": true,
|
||||
"skipLibCheck": true,
|
||||
"forceConsistentCasingInFileNames": true,
|
||||
"resolveJsonModule": true,
|
||||
"declaration": true,
|
||||
"declarationMap": true,
|
||||
"outDir": "./dist",
|
||||
"rootDir": "."
|
||||
},
|
||||
"include": ["src/**/*", "render.ts"],
|
||||
"exclude": ["node_modules", "dist"]
|
||||
}
|
||||
9
run_qwen_tts.sh
Normal file
9
run_qwen_tts.sh
Normal file
@@ -0,0 +1,9 @@
|
||||
#!/bin/bash
|
||||
# Qwen3-TTS 声音克隆服务启动脚本
|
||||
# 端口: 8009
|
||||
# GPU: 0
|
||||
|
||||
cd /home/rongye/ProgramFiles/ViGent2/models/Qwen3-TTS
|
||||
|
||||
# 使用 qwen-tts conda 环境的 Python
|
||||
/home/rongye/ProgramFiles/miniconda3/envs/qwen-tts/bin/python qwen_tts_server.py
|
||||
15
run_watchdog.sh
Normal file
15
run_watchdog.sh
Normal file
@@ -0,0 +1,15 @@
|
||||
#!/bin/bash
|
||||
# 启动 ViGent2 服务看门狗
|
||||
# 监控 Qwen-TTS and LatentSync 服务健康状态
|
||||
|
||||
cd "$(dirname "$0")"
|
||||
|
||||
# 使用 backend 的虚拟环境 Python (包含 httpx 等依赖)
|
||||
PYTHON_PATH="./backend/venv/bin/python"
|
||||
|
||||
if [ -f "$PYTHON_PATH" ]; then
|
||||
"$PYTHON_PATH" backend/scripts/watchdog.py
|
||||
else
|
||||
echo "❌ 错误: 找不到 Python 解释器: $PYTHON_PATH"
|
||||
exit 1
|
||||
fi
|
||||
Reference in New Issue
Block a user