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README.md
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README.md
@@ -1,259 +1,679 @@
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# DouyinLiveRecorder 转播版
|
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||||
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[](https://www.python.org/downloads/)
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[](https://github.com/ihmily/DouyinLiveRecorder)
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[](LICENSE)
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## 💡简介
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[](https://www.python.org/downloads/release/python-3116/)
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[](https://github.com/ihmily/DouyinLiveRecorder)
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[](https://hub.docker.com/r/ihmily/douyin-live-recorder/tags)
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[](https://github.com/ihmily/DouyinLiveRecorder/releases/latest)
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[](https://github.com/ihmily/DouyinLiveRecorder/releases/latest)
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||||
|
||||
基于 [DouyinLiveRecorder](https://github.com/ihmily/DouyinLiveRecorder) 的**转播增强版**，将原本的录制下载功能扩展为**实时推流转播**，支持抖音/TikTok 等直播推送到 YouTube、HDMI 等目标。
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一款**简易**的可循环值守的直播录制工具，基于FFmpeg实现多平台直播源录制，支持自定义配置录制以及直播状态推送。
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## 与原版的主要区别
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</div>
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||||
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||||
| 功能 | 原版 DouyinLiveRecorder | 本转播版 |
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|------|-------------------------|----------|
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| 核心用途 | 录制直播到本地文件 | 实时转播到 YouTube / HDMI |
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| 抖音 → YouTube | 不支持 | ✅ 支持，含 AI 人声分离防版权 |
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| 抖音 → HDMI/SRS | 不支持 | ✅ 支持（TikTok 模式） |
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| 录制到本地 | ✅ 支持 | ✅ 保留支持 |
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| 平台支持 | 40+ 平台 | 继承全部平台 |
|
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## 😺已支持平台
|
||||
|
||||
---
|
||||
- [x] 抖音
|
||||
- [x] TikTok
|
||||
- [x] 快手
|
||||
- [x] 虎牙
|
||||
- [x] 斗鱼
|
||||
- [x] YY
|
||||
- [x] B站
|
||||
- [x] 小红书
|
||||
- [x] bigo
|
||||
- [x] blued
|
||||
- [x] SOOP(原AfreecaTV)
|
||||
- [x] 网易cc
|
||||
- [x] 千度热播
|
||||
- [x] PandaTV
|
||||
- [x] 猫耳FM
|
||||
- [x] Look直播
|
||||
- [x] WinkTV
|
||||
- [x] TTingLive(原Flextv)
|
||||
- [x] PopkonTV
|
||||
- [x] TwitCasting
|
||||
- [x] 百度直播
|
||||
- [x] 微博直播
|
||||
- [x] 酷狗直播
|
||||
- [x] TwitchTV
|
||||
- [x] LiveMe
|
||||
- [x] 花椒直播
|
||||
- [x] 流星直播
|
||||
- [x] ShowRoom
|
||||
- [x] Acfun
|
||||
- [x] 映客直播
|
||||
- [x] 音播直播
|
||||
- [x] 知乎直播
|
||||
- [x] CHZZK
|
||||
- [x] 嗨秀直播
|
||||
- [x] vv星球直播
|
||||
- [x] 17Live
|
||||
- [x] 浪Live
|
||||
- [x] 畅聊直播
|
||||
- [x] 飘飘直播
|
||||
- [x] 六间房直播
|
||||
- [x] 乐嗨直播
|
||||
- [x] 花猫直播
|
||||
- [x] Shopee
|
||||
- [x] Youtube
|
||||
- [x] 淘宝
|
||||
- [x] 京东
|
||||
- [x] Faceit
|
||||
- [x] 咪咕
|
||||
- [x] 连接直播
|
||||
- [x] 来秀直播
|
||||
- [x] Picarto
|
||||
- [ ] 更多平台正在更新中
|
||||
|
||||
## 功能特性
|
||||
</div>
|
||||
|
||||
### 转播模式
|
||||
|
||||
- **YouTube 转播**：抖音直播 → YouTube Live，支持 AI 人声分离（Demucs）降低音乐版权识别
|
||||
- **TikTok/HDMI 转播**：抖音直播 → SRS 推流 → HDMI 采集卡或 OBS
|
||||
- **本地录制**：保留原版全部录制能力
|
||||
|
||||
### 防版权识别（YouTube 专用）
|
||||
|
||||
- **Demucs AI 人声分离**：只保留人声，去除背景音乐，从源头避免 Content ID 匹配
|
||||
- **NVIDIA GPU 加速**：自动检测 CUDA，优先使用 GPU 加速 Demucs
|
||||
- **无 GPU 回退**：无显卡时自动回退到 CPU，不报错
|
||||
- **可配置开关**：可在 `config/youtube.ini` 中关闭 Demucs，使用原始音频
|
||||
|
||||
### 循环值守与多直播间
|
||||
|
||||
- 自动轮询直播间状态
|
||||
- 主播下播后自动停止推流，并快速重检
|
||||
- 支持多直播间 URL 配置，单路推流时自动切换
|
||||
- 直播状态推送（钉钉、微信、Telegram 等）
|
||||
|
||||
---
|
||||
|
||||
## 项目结构
|
||||
## 🎈项目结构
|
||||
|
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```
|
||||
.
|
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├── main.py # 主入口（本地录制 + SRS 转播）
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├── youtube.py # YouTube 转播入口
|
||||
├── tiktok.py # TikTok/HDMI 转播入口
|
||||
├── douyin_youtube_ffplay.py # 抖音 → YouTube 推流（含 Demucs 管道）
|
||||
├── douyin_srs_ffplay.py # 抖音 → SRS/HDMI 推流
|
||||
├── web.py # Web 配置界面
|
||||
├── config/
|
||||
│ ├── config.ini # 通用配置
|
||||
│ ├── youtube.ini # YouTube 推流配置（stream key、Demucs 开关）
|
||||
│ └── URL_config.ini # 直播间 URL 列表
|
||||
├── src/ # 爬虫、流解析等核心逻辑
|
||||
├── backup/ # 备份与辅助模块
|
||||
├── requirements.txt
|
||||
├── pyproject.toml
|
||||
└── README.md
|
||||
└── DouyinLiveRecorder/
|
||||
├── /config -> (config record)
|
||||
├── /logs -> (save runing log file)
|
||||
├── /backup_config -> (backup file)
|
||||
├── /douyinliverecorder -> (package)
|
||||
├── initializer.py-> (check and install nodejs)
|
||||
├── spider.py-> (get live data)
|
||||
├── stream.py-> (get live stream address)
|
||||
├── utils.py -> (contains utility functions)
|
||||
├── logger.py -> (logger handdle)
|
||||
├── room.py -> (get room info)
|
||||
├── ab_sign.py-> (generate dy token)
|
||||
├── /javascript -> (some decrypt code)
|
||||
├── main.py -> (main file)
|
||||
├── ffmpeg_install.py -> (ffmpeg install script)
|
||||
├── demo.py -> (call package test demo)
|
||||
├── msg_push.py -> (send live status update message)
|
||||
├── ffmpeg.exe -> (record video)
|
||||
├── index.html -> (play m3u8 and flv video)
|
||||
├── requirements.txt -> (library dependencies)
|
||||
├── docker-compose.yaml -> (Container Orchestration File)
|
||||
├── Dockerfile -> (Application Build Recipe)
|
||||
├── StopRecording.vbs -> (stop recording script on Windows)
|
||||
...
|
||||
```
|
||||
|
||||
---
|
||||
</div>
|
||||
|
||||
## 快速开始
|
||||
## 🌱使用说明
|
||||
|
||||
### 1. 环境要求
|
||||
- 对于只想使用录制软件的小白用户，进入[Releases](https://github.com/ihmily/DouyinLiveRecorder/releases) 中下载最新发布的 zip压缩包即可，里面有打包好的录制软件。（有些电脑可能会报毒，直接忽略即可，如果下载时被浏览器屏蔽，请更换浏览器下载）
|
||||
|
||||
- **Python** >= 3.10
|
||||
- **FFmpeg**（需支持 libx264、h264_nvenc）
|
||||
- **可选**：NVIDIA GPU + CUDA（用于 Demucs 加速）
|
||||
- 压缩包解压后，在 `config` 文件夹内的 `URL_config.ini` 中添加录制直播间地址，一行一个直播间地址。如果要自定义配置录制，可以修改`config.ini` 文件，推荐将录制格式修改为`ts`。
|
||||
- 以上步骤都做好后，就可以运行`DouyinLiveRecorder.exe` 程序进行录制了。录制的视频文件保存在同目录下的 `downloads` 文件夹内。
|
||||
|
||||
### 2. 安装依赖
|
||||
- 另外，如果需要录制TikTok、AfreecaTV等海外平台，请在配置文件中设置开启代理并添加proxy_addr链接 如：`127.0.0.1:7890` （这只是示例地址，具体根据实际填写）。
|
||||
|
||||
```bash
|
||||
# 克隆或下载项目
|
||||
cd douyinyoutube
|
||||
- 假如`URL_config.ini`文件中添加的直播间地址，有个别直播间暂时不想录制又不想移除链接，可以在对应直播间的链接开头加上`#`，那么将停止该直播间的监测以及录制。
|
||||
|
||||
# 创建虚拟环境（推荐）
|
||||
python -m venv .venv
|
||||
# Windows:
|
||||
.venv\Scripts\activate
|
||||
# Ubuntu/Linux:
|
||||
source .venv/bin/activate
|
||||
- 软件默认录制清晰度为 `原画` ，如果要单独设置某个直播间的录制画质，可以在添加直播间地址时前面加上画质即可，如`超清，https://live.douyin.com/745964462470` 记得中间要有`,` 分隔。
|
||||
|
||||
# 安装基础依赖
|
||||
pip install -r requirements.txt
|
||||
- 如果要长时间挂着软件循环监测直播，最好循环时间设置长一点（咱也不差没录制到的那几分钟），避免因请求频繁导致被官方封禁IP 。
|
||||
|
||||
- 要停止直播录制，Windows平台可执行StopRecording.vbs脚本文件，或者在录制界面使用 `Ctrl+C ` 组合键中断录制，若要停止其中某个直播间的录制，可在`URL_config.ini`文件中的地址前加#，会自动停止对应直播间的录制并正常保存已录制的视频。
|
||||
- 最后，欢迎右上角给本项目一个star，同时也非常乐意大家提交pr。
|
||||
|
||||
 
|
||||
|
||||
直播间链接示例：
|
||||
|
||||
# 若使用 YouTube 转播 + Demucs 防版权，需额外安装：
|
||||
pip install -r requirements-youtube.txt
|
||||
# GPU 版本（NVIDIA）需先安装 CUDA 版 PyTorch：
|
||||
# pip install torch torchaudio --index-url https://download.pytorch.org/whl/cu118
|
||||
```
|
||||
|
||||
### 3. 配置
|
||||
|
||||
#### YouTube 转播
|
||||
|
||||
1. 编辑 `config/youtube.ini`：
|
||||
|
||||
```ini
|
||||
[youtube]
|
||||
# YouTube 直播 stream key（从 YouTube 直播控制台获取）
|
||||
key = xxxx-xxxx-xxxx-xxxx
|
||||
|
||||
# 是否启用 Demucs 人声分离（防版权识别）
|
||||
# 是 = 启用，否 = 使用原始音频
|
||||
enable_demucs = 是
|
||||
|
||||
# Demucs 是否优先使用 GPU（有 NVIDIA 显卡时）
|
||||
# 是 = 优先 GPU，否 = 强制 CPU
|
||||
demucs_use_gpu = 是
|
||||
```
|
||||
|
||||
2. 编辑 `config/URL_config.ini`，添加抖音直播间地址：
|
||||
|
||||
```ini
|
||||
抖音:
|
||||
https://live.douyin.com/745964462470
|
||||
https://live.douyin.com/xxx,主播名
|
||||
https://v.douyin.com/iQFeBnt/
|
||||
https://live.douyin.com/yall1102 （链接+抖音号）
|
||||
https://v.douyin.com/CeiU5cbX （主播主页地址）
|
||||
|
||||
TikTok:
|
||||
https://www.tiktok.com/@pearlgaga88/live
|
||||
|
||||
快手:
|
||||
https://live.kuaishou.com/u/yall1102
|
||||
|
||||
虎牙:
|
||||
https://www.huya.com/52333
|
||||
|
||||
斗鱼:
|
||||
https://www.douyu.com/3637778?dyshid=
|
||||
https://www.douyu.com/topic/wzDBLS6?rid=4921614&dyshid=
|
||||
|
||||
YY:
|
||||
https://www.yy.com/22490906/22490906
|
||||
|
||||
B站:
|
||||
https://live.bilibili.com/320
|
||||
|
||||
小红书（直播间分享地址):
|
||||
http://xhslink.com/xpJpfM
|
||||
|
||||
bigo直播:
|
||||
https://www.bigo.tv/cn/716418802
|
||||
|
||||
buled直播:
|
||||
https://app.blued.cn/live?id=Mp6G2R
|
||||
|
||||
SOOP:
|
||||
https://play.sooplive.co.kr/sw7love
|
||||
|
||||
网易cc:
|
||||
https://cc.163.com/583946984
|
||||
|
||||
千度热播:
|
||||
https://qiandurebo.com/web/video.php?roomnumber=33333
|
||||
|
||||
PandaTV:
|
||||
https://www.pandalive.co.kr/live/play/bara0109
|
||||
|
||||
猫耳FM:
|
||||
https://fm.missevan.com/live/868895007
|
||||
|
||||
Look直播:
|
||||
https://look.163.com/live?id=65108820&position=3
|
||||
|
||||
WinkTV:
|
||||
https://www.winktv.co.kr/live/play/anjer1004
|
||||
|
||||
FlexTV(TTinglive)::
|
||||
https://www.flextv.co.kr/channels/593127/live
|
||||
|
||||
PopkonTV:
|
||||
https://www.popkontv.com/live/view?castId=wjfal007&partnerCode=P-00117
|
||||
https://www.popkontv.com/channel/notices?mcid=wjfal007&mcPartnerCode=P-00117
|
||||
|
||||
TwitCasting:
|
||||
https://twitcasting.tv/c:uonq
|
||||
|
||||
百度直播:
|
||||
https://live.baidu.com/m/media/pclive/pchome/live.html?room_id=9175031377&tab_category
|
||||
|
||||
微博直播:
|
||||
https://weibo.com/l/wblive/p/show/1022:2321325026370190442592
|
||||
|
||||
酷狗直播:
|
||||
https://fanxing2.kugou.com/50428671?refer=2177&sourceFrom=
|
||||
|
||||
TwitchTV:
|
||||
https://www.twitch.tv/gamerbee
|
||||
|
||||
LiveMe:
|
||||
https://www.liveme.com/zh/v/17141543493018047815/index.html
|
||||
|
||||
花椒直播:
|
||||
https://www.huajiao.com/l/345096174
|
||||
|
||||
流星直播:
|
||||
https://www.7u66.com/100960
|
||||
|
||||
ShowRoom:
|
||||
https://www.showroom-live.com/room/profile?room_id=480206 （主播主页地址）
|
||||
|
||||
Acfun:
|
||||
https://live.acfun.cn/live/179922
|
||||
|
||||
映客直播:
|
||||
https://www.inke.cn/liveroom/index.html?uid=22954469&id=1720860391070904
|
||||
|
||||
音播直播:
|
||||
https://live.ybw1666.com/800002949
|
||||
|
||||
知乎直播:
|
||||
https://www.zhihu.com/people/ac3a467005c5d20381a82230101308e9 (主播主页地址)
|
||||
|
||||
CHZZK:
|
||||
https://chzzk.naver.com/live/458f6ec20b034f49e0fc6d03921646d2
|
||||
|
||||
嗨秀直播:
|
||||
https://www.haixiutv.com/6095106
|
||||
|
||||
VV星球直播:
|
||||
https://h5webcdn-pro.vvxqiu.com//activity/videoShare/videoShare.html?h5Server=https://h5p.vvxqiu.com&roomId=LP115924473&platformId=vvstar
|
||||
|
||||
17Live:
|
||||
https://17.live/en/live/6302408
|
||||
|
||||
浪Live:
|
||||
https://www.lang.live/en-US/room/3349463
|
||||
|
||||
畅聊直播:
|
||||
https://live.tlclw.com/106188
|
||||
|
||||
飘飘直播:
|
||||
https://m.pp.weimipopo.com/live/preview.html?uid=91648673&anchorUid=91625862&app=plpl
|
||||
|
||||
六间房直播:
|
||||
https://v.6.cn/634435
|
||||
|
||||
乐嗨直播:
|
||||
https://www.lehaitv.com/8059096
|
||||
|
||||
花猫直播:
|
||||
https://h.catshow168.com/live/preview.html?uid=19066357&anchorUid=18895331
|
||||
|
||||
Shopee:
|
||||
https://sg.shp.ee/GmpXeuf?uid=1006401066&session=802458
|
||||
|
||||
Youtube:
|
||||
https://www.youtube.com/watch?v=cS6zS5hi1w0
|
||||
|
||||
淘宝(需cookie):
|
||||
https://tbzb.taobao.com/live?liveId=532359023188
|
||||
https://m.tb.cn/h.TWp0HTd
|
||||
|
||||
京东:
|
||||
https://3.cn/28MLBy-E
|
||||
|
||||
Faceit:
|
||||
https://www.faceit.com/zh/players/Compl1/stream
|
||||
|
||||
连接直播:
|
||||
https://show.lailianjie.com/10000258
|
||||
|
||||
咪咕直播:
|
||||
https://www.miguvideo.com/p/live/120000541321
|
||||
|
||||
来秀直播:
|
||||
https://www.imkktv.com/h5/share/video.html?uid=1845195&roomId=1710496
|
||||
|
||||
Picarto:
|
||||
https://www.picarto.tv/cuteavalanche
|
||||
```
|
||||
|
||||
3. 在 `config/config.ini` 中将 `视频保存格式` 设为 `ts`（触发 YouTube 推流逻辑）
|
||||
 
|
||||
|
||||
#### TikTok/HDMI 转播
|
||||
## 🎃源码运行
|
||||
使用源码运行，可参考下面的步骤。
|
||||
|
||||
- 使用 `tiktok.py` 入口，配置 SRS 推流地址
|
||||
- 详见 `tiktok/` 目录说明
|
||||
|
||||
### 4. 运行
|
||||
1.首先拉取或手动下载本仓库项目代码
|
||||
|
||||
```bash
|
||||
# YouTube 转播
|
||||
python youtube.py
|
||||
|
||||
# 或使用 uv
|
||||
uv run youtube.py
|
||||
git clone https://github.com/ihmily/DouyinLiveRecorder.git
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 详细配置说明
|
||||
|
||||
### config/youtube.ini
|
||||
|
||||
| 配置项 | 说明 | 默认值 |
|
||||
|--------|------|--------|
|
||||
| key | YouTube 直播 stream key | 必填 |
|
||||
| enable_demucs | 是否启用 Demucs 人声分离 | 是 |
|
||||
| demucs_use_gpu | 是否优先使用 NVIDIA GPU | 是 |
|
||||
|
||||
### config/config.ini
|
||||
|
||||
- **视频保存格式**：设为 `ts` 时，youtube.py 会走 YouTube 推流逻辑，而非本地录制
|
||||
- **循环时间**：轮询间隔（秒）
|
||||
- **代理**：海外平台需配置代理
|
||||
|
||||
### URL_config.ini 格式
|
||||
|
||||
```
|
||||
# 单行一个直播间
|
||||
https://live.douyin.com/745964462470
|
||||
|
||||
# 可加画质和备注
|
||||
超清,https://live.douyin.com/xxx
|
||||
https://live.douyin.com/yyy,主播名
|
||||
|
||||
# 注释掉不监测
|
||||
# https://live.douyin.com/zzz
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Demucs 防版权说明
|
||||
|
||||
### 原理
|
||||
|
||||
- 使用 [Demucs](https://github.com/facebookresearch/demucs) 对混音进行人声分离
|
||||
- 只保留人声轨道推送到 YouTube，背景音乐被物理移除
|
||||
- Content ID 无法匹配已移除的音乐
|
||||
|
||||
### 延迟与性能
|
||||
|
||||
- **延迟**：约 4–8 秒（与 chunk 大小相关）
|
||||
- **GPU**：有 NVIDIA 显卡时自动使用 CUDA 加速
|
||||
- **CPU**：无 GPU 时自动回退，不影响运行
|
||||
|
||||
### 回退机制
|
||||
|
||||
1. **Demucs 未安装**：自动使用原始 FFmpeg 推流
|
||||
2. **GPU 不可用**：自动使用 CPU 运行 Demucs
|
||||
3. **enable_demucs = 否**：直接使用原始音频
|
||||
|
||||
---
|
||||
|
||||
## 平台兼容性
|
||||
|
||||
| 平台 | 录制 | YouTube 转播 | Demucs |
|
||||
|------|------|--------------|--------|
|
||||
| Windows | ✅ | ✅ | ✅（CPU/GPU） |
|
||||
| Ubuntu Server | ✅ | ✅ | ✅（优先） |
|
||||
| 其他 Linux | ✅ | ✅ | ✅ |
|
||||
|
||||
---
|
||||
|
||||
## Web 配置界面
|
||||
2.进入项目文件夹，安装依赖
|
||||
|
||||
```bash
|
||||
python web.py
|
||||
cd DouyinLiveRecorder
|
||||
```
|
||||
|
||||
- 浏览器访问配置页面
|
||||
- 支持编辑 `youtube.ini`、`URL_config.ini`
|
||||
- 选择 youtube / tiktok / obs 等模式
|
||||
> [!TIP]
|
||||
> - 不论你是否已安装 **Python>=3.10** 环境, 都推荐使用 [**uv**](https://github.com/astral-sh/uv) 运行, 因为它可以自动管理虚拟环境和方便地管理 **Python** 版本, **不过这完全是可选的**<br />
|
||||
> 使用以下命令安装
|
||||
> ```bash
|
||||
> # 在 macOS 和 Linux 上安装 uv
|
||||
> curl -LsSf https://astral.sh/uv/install.sh | sh
|
||||
> ```
|
||||
> ```powershell
|
||||
> # 在 Windows 上安装 uv
|
||||
> powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
|
||||
> ```
|
||||
> - 如果安装依赖速度太慢, 你可以考虑使用国内 pip 镜像源:<br />
|
||||
> 在 `pip` 命令使用 `-i` 参数指定, 如 `pip3 install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple`<br />
|
||||
> 或者在 `uv` 命令 `--index` 选项指定, 如 `uv sync --index https://pypi.tuna.tsinghua.edu.cn/simple`
|
||||
|
||||
---
|
||||
<details>
|
||||
|
||||
## 常见问题
|
||||
<summary>如果已安装 <b>Python>=3.10</b> 环境</summary>
|
||||
|
||||
### 1. Demucs 安装失败
|
||||
- :white_check_mark: 在虚拟环境中安装 (推荐)
|
||||
|
||||
1. 创建虚拟环境
|
||||
|
||||
- 使用系统已安装的 Python, 不使用 uv
|
||||
|
||||
```bash
|
||||
python -m venv .venv
|
||||
```
|
||||
|
||||
- 使用 uv, 默认使用系统 Python, 你可以添加 `--python` 选项指定 Python 版本而不使用系统 Python [uv官方文档](https://docs.astral.sh/uv/concepts/python-versions/)
|
||||
|
||||
```bash
|
||||
uv venv
|
||||
```
|
||||
|
||||
2. 在终端激活虚拟环境 (在未安装 uv 或你想要手动激活虚拟环境时执行, 若已安装 uv, 可以跳过这一步, uv 会自动激活并使用虚拟环境)
|
||||
|
||||
**Bash** 中
|
||||
```bash
|
||||
source .venv/Scripts/activate
|
||||
```
|
||||
|
||||
**Powershell** 中
|
||||
```powershell
|
||||
.venv\Scripts\activate.ps1
|
||||
```
|
||||
|
||||
**Windows CMD** 中
|
||||
```bat
|
||||
.venv\Scripts\activate.bat
|
||||
```
|
||||
|
||||
3. 安装依赖
|
||||
|
||||
```bash
|
||||
# 使用 pip (若安装太慢或失败, 可使用 `-i` 指定镜像源)
|
||||
pip3 install -U pip && pip3 install -r requirements.txt
|
||||
# 或者使用 uv (可使用 `--index` 指定镜像源)
|
||||
uv sync
|
||||
# 或者
|
||||
uv pip sync requirements.txt
|
||||
```
|
||||
|
||||
- :x: 在系统 Python 环境中安装 (不推荐)
|
||||
|
||||
```bash
|
||||
pip3 install -U pip && pip3 install -r requirements.txt
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
|
||||
<summary>如果未安装 <b>Python>=3.10</b> 环境</summary>
|
||||
|
||||
你可以使用 [**uv**](https://github.com/astral-sh/uv) 安装依赖
|
||||
|
||||
```bash
|
||||
# uv 将使用 3.10 及以上的最新 python 发行版自动创建并使用虚拟环境, 可使用 --python 选项指定 python 版本, 参见 https://docs.astral.sh/uv/reference/cli/#uv-sync--python 和 https://docs.astral.sh/uv/reference/cli/#uv-pip-sync--python
|
||||
uv sync
|
||||
# 或
|
||||
uv pip sync requirements.txt
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
3.安装[FFmpeg](https://ffmpeg.org/download.html#build-linux)，如果是Windows系统，这一步可跳过。对于Linux系统，执行以下命令安装
|
||||
|
||||
CentOS执行
|
||||
|
||||
```bash
|
||||
# 仅 CPU
|
||||
pip install demucs torch torchaudio
|
||||
|
||||
# 使用国内镜像
|
||||
pip install demucs torch torchaudio -i https://pypi.tuna.tsinghua.edu.cn/simple
|
||||
yum install epel-release
|
||||
yum install ffmpeg
|
||||
```
|
||||
|
||||
### 2. 无 NVIDIA 显卡
|
||||
Ubuntu则执行
|
||||
|
||||
- 程序会自动使用 CPU 运行 Demucs
|
||||
- 可在 `youtube.ini` 中设置 `demucs_use_gpu = 否` 以跳过 GPU 检测
|
||||
```bash
|
||||
apt update
|
||||
apt install ffmpeg
|
||||
```
|
||||
|
||||
### 3. 推流中断
|
||||
macOS 执行
|
||||
|
||||
- 检查网络与代理
|
||||
- 检查 YouTube stream key 是否有效
|
||||
- 查看控制台日志定位错误
|
||||
**如果已经安装 Homebrew 请跳过这一步**
|
||||
|
||||
### 4. 抖音风控
|
||||
```bash
|
||||
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
|
||||
```
|
||||
|
||||
- 适当增大循环时间
|
||||
- 确保 Cookie 有效（录制抖音需配置）
|
||||
```bash
|
||||
brew install ffmpeg
|
||||
```
|
||||
|
||||
---
|
||||
4.运行程序
|
||||
|
||||
## 致谢
|
||||
```python
|
||||
python main.py
|
||||
|
||||
- 原项目：[ihmily/DouyinLiveRecorder](https://github.com/ihmily/DouyinLiveRecorder)
|
||||
- 人声分离：[facebookresearch/demucs](https://github.com/facebookresearch/demucs)
|
||||
```
|
||||
或
|
||||
|
||||
---
|
||||
```bash
|
||||
uv run main.py
|
||||
```
|
||||
|
||||
## 许可证
|
||||
其中Linux系统请使用`python3 main.py` 运行。
|
||||
|
||||
MIT License
|
||||
 
|
||||
## 🐋容器运行
|
||||
|
||||
在运行命令之前，请确保您的机器上安装了 [Docker](https://docs.docker.com/get-docker/) 和 [Docker Compose](https://docs.docker.com/compose/install/)
|
||||
|
||||
1.快速启动
|
||||
|
||||
最简单方法是运行项目中的 [docker-compose.yaml](https://github.com/ihmily/DouyinLiveRecorder/blob/main/docker-compose.yaml) 文件，只需简单执行以下命令：
|
||||
|
||||
```bash
|
||||
docker-compose up
|
||||
```
|
||||
|
||||
可选 `-d` 在后台运行。
|
||||
|
||||
|
||||
|
||||
2.构建镜像(可选)
|
||||
|
||||
如果你只想简单的运行程序，则不需要做这一步。Docker镜像仓库中代码版本可能不是最新的，如果要运行本仓库主分支最新代码，可以本地自定义构建，通过修改 [docker-compose.yaml](https://github.com/ihmily/DouyinLiveRecorder/blob/main/docker-compose.yaml) 文件，如将镜像名修改为 `douyin-live-recorder:latest`，并取消 `# build: .` 注释，然后再执行
|
||||
|
||||
```bash
|
||||
docker build -t douyin-live-recorder:latest .
|
||||
docker-compose up
|
||||
```
|
||||
|
||||
或者直接使用下面命令进行构建并启动
|
||||
|
||||
```bash
|
||||
docker-compose -f docker-compose.yaml up
|
||||
```
|
||||
|
||||
|
||||
|
||||
3.停止容器实例
|
||||
|
||||
```bash
|
||||
docker-compose stop
|
||||
```
|
||||
|
||||
|
||||
|
||||
4.注意事项
|
||||
|
||||
①在docker容器内运行本程序之前，请先在配置文件中添加要录制的直播间地址。
|
||||
|
||||
②在容器内时，如果手动中断容器运行停止录制，会导致正在录制的视频文件损坏！
|
||||
|
||||
**无论哪种运行方式，为避免手动中断或者异常中断导致录制的视频文件损坏的情况，推荐使用 `ts` 格式保存**。
|
||||
|
||||
 
|
||||
|
||||
## 🤖相关项目
|
||||
|
||||
- StreamCap: https://github.com/ihmily/StreamCap
|
||||
- streamget: https://github.com/ihmily/streamget
|
||||
|
||||
 
|
||||
|
||||
## ❤️贡献者
|
||||
|
||||
   [](https://github.com/ihmily)
|
||||
[](https://github.com/iridescentGray)
|
||||
[](https://github.com/annidy)
|
||||
[](https://github.com/wwkk2580)
|
||||
[](https://github.com/missuo)
|
||||
<a href="https://github.com/xueli12" target="_blank"><img src="https://github.com/xueli12.png?size=50" alt="xueli12" style="width:53px; height:51px;" /></a>
|
||||
<a href="https://github.com/kaine1973" target="_blank"><img src="https://github.com/kaine1973.png?size=50" alt="kaine1973" style="width:53px; height:51px;" /></a>
|
||||
<a href="https://github.com/yinruiqing" target="_blank"><img src="https://github.com/yinruiqing.png?size=50" alt="yinruiqing" style="width:53px; height:51px;" /></a>
|
||||
<a href="https://github.com/Max-Tortoise" target="_blank"><img src="https://github.com/Max-Tortoise.png?size=50" alt="Max-Tortoise" style="width:53px; height:51px;" /></a>
|
||||
[](https://github.com/justdoiting)
|
||||
[](https://github.com/dhbxs)
|
||||
[](https://github.com/wujiyu115)
|
||||
[](https://github.com/zhanghao333)
|
||||
<a href="https://github.com/gyc0123" target="_blank"><img src="https://github.com/gyc0123.png?size=50" alt="gyc0123" style="width:53px; height:51px;" /></a>
|
||||
|
||||
   [](https://github.com/HoratioShaw)
|
||||
[](https://github.com/nov30th)
|
||||
[](https://github.com/727155455)
|
||||
[](https://github.com/nixingshiguang)
|
||||
[](https://github.com/1411430556)
|
||||
[](https://github.com/Ovear)
|
||||
 
|
||||
|
||||
## ⏳提交日志
|
||||
|
||||
- 20251024
|
||||
- 修复抖音风控无法获取数据问题
|
||||
|
||||
- 新增soop.com录制支持
|
||||
|
||||
- 修复bigo录制
|
||||
|
||||
- 20250127
|
||||
- 新增淘宝、京东、faceit直播录制
|
||||
- 修复小红书直播流录制以及转码问题
|
||||
- 修复畅聊、VV星球、flexTV直播录制
|
||||
- 修复批量微信直播推送
|
||||
- 新增email发送ssl和port配置
|
||||
- 新增强制转h264配置
|
||||
- 更新ffmpeg版本
|
||||
- 重构包为异步函数！
|
||||
|
||||
- 20241130
|
||||
- 新增shopee、youtube直播录制
|
||||
- 新增支持自定义m3u8、flv地址录制
|
||||
- 新增自定义执行脚本，支持python、bat、bash等
|
||||
- 修复YY直播、花椒直播和小红书直播录制
|
||||
- 修复b站标题获取错误
|
||||
- 修复log日志错误
|
||||
- 20241030
|
||||
- 新增嗨秀直播、vv星球直播、17Live、浪Live、SOOP、畅聊直播(原时光直播)、飘飘直播、六间房直播、乐嗨直播、花猫直播等10个平台直播录制
|
||||
- 修复小红书直播录制，支持小红书作者主页地址录制直播
|
||||
- 新增支持ntfy消息推送，以及新增支持批量推送多个地址（逗号分隔多个推送地址)
|
||||
- 修复Liveme直播录制、twitch直播录制
|
||||
- 新增Windows平台一键停止录制VB脚本程序
|
||||
- 20241005
|
||||
- 新增邮箱和Bark推送
|
||||
- 新增直播注释停止录制
|
||||
- 优化分段录制
|
||||
- 重构部分代码
|
||||
- 20240928
|
||||
- 新增知乎直播、CHZZK直播录制
|
||||
- 修复音播直播录制
|
||||
- 20240903
|
||||
- 新增抖音双屏录制、音播直播录制
|
||||
- 修复PandaTV、bigo直播录制
|
||||
- 20240713
|
||||
- 新增映客直播录制
|
||||
- 20240705
|
||||
- 新增时光直播录制
|
||||
- 20240701
|
||||
- 修复虎牙直播录制2分钟断流问题
|
||||
- 新增自定义直播推送内容
|
||||
- 20240621
|
||||
- 新增Acfun、ShowRoom直播录制
|
||||
- 修复微博录制、新增直播源线路
|
||||
- 修复斗鱼直播60帧录制
|
||||
- 修复酷狗直播录制
|
||||
- 修复TikTok部分无法解析直播源
|
||||
- 修复抖音无法录制连麦直播
|
||||
- 20240510
|
||||
- 修复部分虎牙直播间录制错误
|
||||
- 20240508
|
||||
- 修复花椒直播录制
|
||||
- 更改文件路径解析方式 [@kaine1973](https://github.com/kaine1973)
|
||||
- 20240506
|
||||
- 修复抖音录制画质解析bug
|
||||
- 修复虎牙录制 60帧最高画质问题
|
||||
- 新增流星直播录制
|
||||
- 20240427
|
||||
- 新增LiveMe、花椒直播录制
|
||||
- 20240425
|
||||
- 新增TwitchTV直播录制
|
||||
- 20240424
|
||||
- 新增酷狗直播录制、优化PopkonTV直播录制
|
||||
- 20240423
|
||||
- 新增百度直播录制、微博直播录制
|
||||
- 修复斗鱼录制直播回放的问题
|
||||
- 新增直播源地址显示以及输出到日志文件设置
|
||||
- 20240311
|
||||
- 修复海外平台录制bug，增加画质选择，增强录制稳定性
|
||||
- 修复虎牙录制bug (虎牙`一起看`频道 有特殊限制，有时无法录制)
|
||||
- 20240309
|
||||
- 修复虎牙直播、小红书直播和B站直播录制
|
||||
- 新增5个直播平台录制，包括winktv、flextv、look、popkontv、twitcasting
|
||||
- 新增部分海外平台账号密码配置，实现自动登录并更新配置文件中的cookie
|
||||
- 新增自定义配置需要使用代理录制的平台
|
||||
- 新增只推送开播消息不进行录制设置
|
||||
- 修复了一些bug
|
||||
- 20240209
|
||||
- 优化AfreecaTV录制，新增账号密码登录获取cookie以及持久保存
|
||||
- 修复了小红书直播因官方更新直播域名，导致无法录制直播的问题
|
||||
- 修复了更新URL配置文件的bug
|
||||
- 最后，祝大家新年快乐！
|
||||
|
||||
<details><summary>点击展开更多提交日志</summary>
|
||||
|
||||
- 20240129
|
||||
- 新增猫耳FM直播录制
|
||||
- 20240127
|
||||
- 新增千度热播直播录制、新增pandaTV(韩国)直播录制
|
||||
- 新增telegram直播状态消息推送，修复了某些bug
|
||||
- 新增自定义设置不同直播间的录制画质(即每个直播间录制画质可不同)
|
||||
- 修改录制视频保存路径为 `downloads` 文件夹，并且分平台进行保存。
|
||||
- 20240114
|
||||
- 新增网易cc直播录制，优化ffmpeg参数，修改AfreecaTV输入直播地址格式
|
||||
- 修改日志记录器 @[iridescentGray](https://github.com/iridescentGray)
|
||||
- 20240102
|
||||
- 修复Linux上运行，新增docker配置文件
|
||||
- 20231210
|
||||
- 修复录制分段bug，修复bigo录制检测bug
|
||||
- 新增自定义修改录制主播名
|
||||
- 新增AfreecaTV直播录制，修复某些可能会发生的bug
|
||||
- 20231207
|
||||
- 新增blued直播录制，修复YY直播录制，新增直播结束消息推送
|
||||
- 20231206
|
||||
- 新增bigo直播录制
|
||||
- 20231203
|
||||
- 新增小红书直播录制（全网首发），目前小红书官方没有切换清晰度功能，因此直播录制也只有默认画质
|
||||
- 小红书录制暂时无法循环监测，每次主播开启直播，都要重新获取一次链接
|
||||
- 获取链接的方式为 将直播间转发到微信，在微信中打开后，复制页面的链接。
|
||||
- 20231030
|
||||
- 本次更新只是进行修复，没时间新增功能。
|
||||
- 欢迎各位大佬提pr 帮忙更新维护
|
||||
- 20230930
|
||||
- 新增抖音从接口获取直播流，增强稳定性
|
||||
- 修改快手获取直播流的方式，改用从官方接口获取
|
||||
- 祝大家中秋节快乐！
|
||||
- 20230919
|
||||
- 修复了快手版本更新后录制出错的问题，增加了其自动获取cookie(~~稳定性未知~~)
|
||||
- 修复了TikTok显示正在直播但不进行录制的问题
|
||||
- 20230907
|
||||
- 修复了因抖音官方更新了版本导致的录制出错以及短链接转换出错
|
||||
- 修复B站无法录制原画视频的bug
|
||||
- 修改了配置文件字段，新增各平台自定义设置Cookie
|
||||
- 20230903
|
||||
- 修复了TikTok录制时报644无法录制的问题
|
||||
- 新增直播状态推送到钉钉和微信的功能，如有需要请看 [设置推送教程](https://d04vqdiqwr3.feishu.cn/docx/XFPwdDDvfobbzlxhmMYcvouynDh?from=from_copylink)
|
||||
- 最近比较忙，其他问题有时间再更新
|
||||
- 20230816
|
||||
- 修复斗鱼直播（官方更新了字段）和快手直播录制出错的问题
|
||||
- 20230814
|
||||
- 新增B站直播录制
|
||||
- 写了一个在线播放M3U8和FLV视频的网页源码，打开即可食用
|
||||
- 20230812
|
||||
- 新增YY直播录制
|
||||
- 20230808
|
||||
- 修复主播重新开播无法再次录制的问题
|
||||
- 20230807
|
||||
- 新增了斗鱼直播录制
|
||||
- 修复显示录制完成之后会重新开始录制的问题
|
||||
- 20230805
|
||||
- 新增了虎牙直播录制，其暂时只能用flv视频流进行录制
|
||||
- Web API 新增了快手和虎牙这两个平台的直播流解析（TikTok要代理）
|
||||
- 20230804
|
||||
- 新增了快手直播录制，优化了部分代码
|
||||
- 上传了一个自动化获取抖音直播间页面Cookie的代码，可以用于录制
|
||||
- 20230803
|
||||
- 通宵更新
|
||||
- 新增了国际版抖音TikTok的直播录制，去除冗余 简化了部分代码
|
||||
- 20230724
|
||||
- 新增了一个通过抖音直播间地址获取直播视频流链接的API接口，上传即可用
|
||||
</details>
|
||||
 
|
||||
|
||||
## 有问题可以提issue, 我会在这里持续添加更多直播平台的录制 欢迎Star
|
||||
####
|
||||
|
||||
@@ -1,9 +1,39 @@
|
||||
https://live.douyin.com/629587976874,主播: 伟利火烧
|
||||
https://live.douyin.com/606957569518,主播: 李泽宇(煎饼商)
|
||||
https://live.douyin.com/288000519466,主播: 五花肉肉
|
||||
https://live.douyin.com/69064125466,主播: 张大丽丽的丽茶努力版
|
||||
https://live.douyin.com/838061972379,主播: 番茄妹妹
|
||||
https://live.douyin.com/562629369787,主播: 叹茶柠檬茶
|
||||
https://live.douyin.com/565208465584,主播: 财圆圆
|
||||
https://live.douyin.com/51142028798,主播: 小夏妹妹
|
||||
https://live.douyin.com/974451428277,主播: 雅如柠檬茶
|
||||
https://live.douyin.com/925673220466,主播: 兜有米麻糍
|
||||
https://live.douyin.com/745606325880,主播: w、(摆摊日记_)
|
||||
https://live.douyin.com/675343045974,主播: 张子沐的串串(你的电子榨菜)
|
||||
https://live.douyin.com/673565298571,主播: 轻舟已撞大冰山(摆摊vlog)
|
||||
https://live.douyin.com/835571459859,主播: 海绵饱饱
|
||||
https://live.douyin.com/152358755212,主播: 大美_红烧肉
|
||||
https://live.douyin.com/990825651731,主播: 王同学摆摊日记(蜜汁烤鸡腿)
|
||||
https://live.douyin.com/591442402624,主播: 76696515302
|
||||
https://live.douyin.com/967381081829,主播: 憨憨的摆摊日记
|
||||
https://live.douyin.com/78012762575,主播: 摆摊儿去划水
|
||||
https://live.douyin.com/163813589919,主播: 不要熬夜(摆摊中)
|
||||
https://live.douyin.com/498368994814,主播: 剪头发的小帆帆
|
||||
https://live.douyin.com/617848099204,主播: 果妈要努力
|
||||
https://live.douyin.com/821525628944,主播: 李熙雨⭐
|
||||
https://live.douyin.com/993102287144,主播: 小茗早餐(薪笼记助创官)
|
||||
https://live.douyin.com/701547125568,主播: 悠悠包
|
||||
https://live.douyin.com/816130992220,主播: 甜昕冰冰的摆摊日记
|
||||
https://live.douyin.com/876468215361,主播: 晓晓和凡凡
|
||||
https://live.douyin.com/511335278313,主播: 秘书(摆摊休息版)
|
||||
https://live.douyin.com/483160615952,主播: 小胡同学你好(饭团版)
|
||||
https://live.douyin.com/525514386431,主播: 阿闯烤肉夹馍
|
||||
https://live.douyin.com/8687122573,主播: 小彤炒粉
|
||||
https://live.douyin.com/642534242822,主播: (小王_)煎饼果子
|
||||
https://live.douyin.com/743565594721,主播: 汪汪汪小妞
|
||||
https://live.douyin.com/249578288248,主播: 思思努力版
|
||||
https://live.douyin.com/472140253414,主播: 戴盘龙
|
||||
https://live.douyin.com/700846653732,主播: 三哥大锅菜_炒鸡(国基路店)官方号
|
||||
https://live.douyin.com/81849868631,主播: 纯儿²¹(休息勿跑空哦)
|
||||
https://live.douyin.com/690114366322,主播: 卤味鲜(东大)
|
||||
https://live.douyin.com/469980190666,主播: 茜茜柠檬茶(小米茶档_)
|
||||
https://live.douyin.com/388066418744,主播: 加速姐的摆摊日记
|
||||
https://live.douyin.com/661694696687,主播: 小米摆摊记
|
||||
https://live.douyin.com/228132412943,主播: 00后摆摊小可爱
|
||||
https://live.douyin.com/876677865786,主播: 牛哄哄
|
||||
https://live.douyin.com/573735790640,主播: 小董卤串(餐饮)
|
||||
https://live.douyin.com/260608582882,主播: 阿伟在炒饭(90後炒饭)
|
||||
https://live.douyin.com/210443559964,主播: 小小诺
|
||||
https://live.douyin.com/305363702471,主播: 嘉嘉在摆摊
|
||||
https://live.douyin.com/143239713951,主播: ɞ_大馋丫头的烤肠
|
||||
@@ -1,27 +1,13 @@
|
||||
[youtube]
|
||||
# 只写 stream key（推荐方式）
|
||||
# 必填：YouTube 直播推流 key（在 YouTube 工作室 → 创建 → 流式传输 获取）
|
||||
; key = qxvb-r47b-r5ju-6ud3-6k7z
|
||||
key = x04z-564w-aks7-embw-30y4
|
||||
|
||||
# ===== 优先：推流画质 =====
|
||||
# 视频码率 Mbps（YouTube 推荐 2.5，可设 4-4.5 追求更高画质）
|
||||
video_bitrate_mbps = 2.5
|
||||
# 可选：是否使用 RTMPS 加密推流，填 否 则用 RTMP（默认 RTMPS）
|
||||
; rtmps = 否
|
||||
|
||||
# 推流状态日志间隔（秒），每 N 秒打印帧率/码率/网络等
|
||||
stats_interval_sec = 10
|
||||
# 可选：视频比特率 kbps，YouTube 推荐 2500，可填 3000-4500 提高画质
|
||||
; bitrate = 2500
|
||||
|
||||
# ===== 其次：音频版权处理 =====
|
||||
# 是否启用 Demucs 人声分离（防 YouTube Content ID 版权识别）
|
||||
# 若推流几十秒后断流(YouTube 显示 no data)，可设为 否 使用原始音频
|
||||
# 是 = 启用，只保留人声；否 = 使用原始音频
|
||||
enable_demucs = 是
|
||||
|
||||
# Demucs 是否优先使用 NVIDIA GPU 加速
|
||||
# 是 = 有显卡则用 GPU；否 = 强制 CPU；无显卡时自动回退到 CPU
|
||||
demucs_use_gpu = 是
|
||||
|
||||
# 人声混合比例（0.5-1.0），改善自然度、减少尖锐
|
||||
# 0.75 = 75%人声+25%混合（推荐）；1.0 = 纯人声
|
||||
demucs_vocal_mix = 0.75
|
||||
|
||||
# 混合来源：bass=低音（无混响无重复）；other=其他（可能带混响导致重复感）
|
||||
demucs_mix_source = bass
|
||||
# 可选：软编 speed 长期小于 1 时开启——轻量音频链（无 arnndn/长 EQ），减轻 CPU。填 1 或 是
|
||||
fast_audio = 1
|
||||
@@ -1,456 +0,0 @@
|
||||
# demucs_pipeline.py
|
||||
# Demucs 人声分离管道：FFmpeg 拉流 → Demucs 分离人声 → FFmpeg 推流
|
||||
# 兼容 Windows / Ubuntu，支持 NVIDIA GPU 加速与 CPU 回退
|
||||
"""
|
||||
Demucs 音频管道模块
|
||||
用于将混音分离为人声，推送到 YouTube 时避免 Content ID 识别背景音乐。
|
||||
"""
|
||||
import os
|
||||
import sys
|
||||
import socket
|
||||
import threading
|
||||
import subprocess
|
||||
import queue
|
||||
import time
|
||||
import platform
|
||||
|
||||
try:
|
||||
from stream_stats import StreamStats, parse_and_maybe_print
|
||||
_STREAM_STATS_AVAILABLE = True
|
||||
except ImportError:
|
||||
_STREAM_STATS_AVAILABLE = False
|
||||
|
||||
# 可选依赖：Demucs 和 PyTorch
|
||||
DEMUCS_AVAILABLE = False
|
||||
DEMUCS_MODEL = None
|
||||
TORCH_AVAILABLE = False
|
||||
|
||||
try:
|
||||
import torch
|
||||
TORCH_AVAILABLE = True
|
||||
except ImportError:
|
||||
pass
|
||||
|
||||
try:
|
||||
from demucs.pretrained import get_model
|
||||
from demucs.apply import apply_model
|
||||
DEMUCS_AVAILABLE = True
|
||||
except ImportError:
|
||||
pass
|
||||
|
||||
|
||||
def _check_demucs_available():
|
||||
"""检查 Demucs 是否可用"""
|
||||
return DEMUCS_AVAILABLE and TORCH_AVAILABLE
|
||||
|
||||
|
||||
def _load_demucs_model(use_gpu: bool):
|
||||
"""加载 Demucs 模型，支持 GPU/CPU 回退"""
|
||||
global DEMUCS_MODEL
|
||||
if not _check_demucs_available():
|
||||
return None
|
||||
try:
|
||||
# htdemucs 较轻量，适合实时；htdemucs_ft 质量更好但更慢
|
||||
model_name = "htdemucs"
|
||||
device = "cpu"
|
||||
if use_gpu and TORCH_AVAILABLE and torch.cuda.is_available():
|
||||
try:
|
||||
device = "cuda"
|
||||
except Exception:
|
||||
device = "cpu"
|
||||
model = get_model(model_name)
|
||||
model.eval()
|
||||
return model.to(device)
|
||||
except Exception as e:
|
||||
print(f"[WARN] Demucs 模型加载失败，回退原始音频: {e}")
|
||||
return None
|
||||
|
||||
|
||||
# Demucs 模型采样率
|
||||
DEMUCS_SAMPLE_RATE = 44100
|
||||
DEMUCS_CHANNELS = 2
|
||||
# 每次处理的音频长度（秒），1.0 更易实时，2.0 质量更好但 P40 可能跟不上
|
||||
DEMUCS_CHUNK_SEC = 1.0
|
||||
# 字节 per sample (s16le: 2 bytes)
|
||||
BYTES_PER_SAMPLE = 2
|
||||
|
||||
|
||||
def _demucs_separate_vocals(model, audio_chunk, device, vocal_mix_ratio=1.0, mix_source="bass"):
|
||||
"""
|
||||
对音频块进行人声分离，返回人声轨道。
|
||||
vocal_mix_ratio: 1.0=纯人声；0.75=75%人声+25%混合（更自然）
|
||||
mix_source: "bass"=与低音混合(少混响无重复感)；"other"=与其他混合(可能带混响)
|
||||
"""
|
||||
import torch
|
||||
# audio_chunk: numpy or tensor, shape (channels, samples)
|
||||
if hasattr(audio_chunk, 'numpy'):
|
||||
wav = audio_chunk
|
||||
else:
|
||||
import numpy as np
|
||||
wav = torch.from_numpy(audio_chunk).float()
|
||||
# Demucs 期望 (batch, channels, samples)
|
||||
if wav.dim() == 2:
|
||||
wav = wav.unsqueeze(0)
|
||||
with torch.no_grad():
|
||||
out = apply_model(model, wav, device=device, progress=False, overlap=0.1)
|
||||
# out: (batch, sources, channels, samples)
|
||||
# sources: [drums=0, bass=1, other=2, vocals=3]
|
||||
vocals = out[0, 3]
|
||||
if vocal_mix_ratio >= 1.0:
|
||||
return vocals.cpu().numpy()
|
||||
# 混合 bass 或 other：bass 无混响、无重复感；other 可能带混响导致"重复一遍"
|
||||
blend = out[0, 1] if mix_source == "bass" else out[0, 2]
|
||||
mixed = vocals * vocal_mix_ratio + blend * (1.0 - vocal_mix_ratio)
|
||||
return mixed.cpu().numpy()
|
||||
|
||||
|
||||
def _run_demucs_worker(audio_read_pipe, audio_write_socket, model, device, stop_event, vocal_mix_ratio=1.0, mix_source="bass"):
|
||||
"""Demucs 工作线程：从 FFmpeg 读音频，分离人声，写入 socket"""
|
||||
import numpy as np
|
||||
chunk_samples = int(DEMUCS_SAMPLE_RATE * DEMUCS_CHUNK_SEC * DEMUCS_CHANNELS)
|
||||
chunk_bytes = chunk_samples * BYTES_PER_SAMPLE
|
||||
buf = b""
|
||||
|
||||
def read_audio(size):
|
||||
if hasattr(audio_read_pipe, 'recv'):
|
||||
return audio_read_pipe.recv(size)
|
||||
return audio_read_pipe.read(size)
|
||||
|
||||
try:
|
||||
while not stop_event.is_set():
|
||||
try:
|
||||
data = read_audio(65536)
|
||||
if not data:
|
||||
break
|
||||
buf += data
|
||||
except (socket.error, OSError, ValueError):
|
||||
break
|
||||
while len(buf) >= chunk_bytes:
|
||||
chunk = buf[:chunk_bytes]
|
||||
buf = buf[chunk_bytes:]
|
||||
# s16le -> float
|
||||
arr = np.frombuffer(chunk, dtype=np.int16)
|
||||
arr = arr.reshape(-1, DEMUCS_CHANNELS).T.astype(np.float32) / 32768.0
|
||||
try:
|
||||
vocals = _demucs_separate_vocals(model, arr, device, vocal_mix_ratio, mix_source)
|
||||
# float -> s16le
|
||||
out = (vocals * 32768).astype(np.int16).tobytes()
|
||||
try:
|
||||
audio_write_socket.sendall(out)
|
||||
except (socket.error, OSError):
|
||||
return
|
||||
except Exception as e:
|
||||
print(f"[WARN] Demucs 处理异常: {e}")
|
||||
# 回退：直接透传原始音频
|
||||
try:
|
||||
audio_write_socket.sendall(chunk)
|
||||
except (socket.error, OSError):
|
||||
return
|
||||
# 剩余 buffer
|
||||
if buf and audio_write_socket:
|
||||
try:
|
||||
arr = np.frombuffer(buf, dtype=np.int16)
|
||||
arr = arr.reshape(-1, DEMUCS_CHANNELS).T.astype(np.float32) / 32768.0
|
||||
vocals = _demucs_separate_vocals(model, arr, device, vocal_mix_ratio, mix_source)
|
||||
out = (vocals * 32768).astype(np.int16).tobytes()
|
||||
audio_write_socket.sendall(out)
|
||||
except Exception:
|
||||
pass
|
||||
except Exception as e:
|
||||
print(f"[WARN] Demucs worker 异常: {e}")
|
||||
finally:
|
||||
try:
|
||||
audio_write_socket.shutdown(socket.SHUT_WR)
|
||||
audio_write_socket.close()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
|
||||
def run_demucs_pipeline(
|
||||
real_url: str,
|
||||
youtube_rtmp: str,
|
||||
douyin_headers: str,
|
||||
nvenc_params: dict,
|
||||
end_keywords: list,
|
||||
stderr_queue_timeout: float,
|
||||
no_frame_timeout: int,
|
||||
start_check_after: int,
|
||||
stale_output_seconds: int,
|
||||
stream_ended_exception,
|
||||
cleanup_proc_fn,
|
||||
stderr_reader_fn,
|
||||
vocal_mix_ratio: float = 0.75,
|
||||
mix_source: str = "bass",
|
||||
stats_interval_sec: int = 10,
|
||||
):
|
||||
"""
|
||||
运行 Demucs 管道：拉流 → 人声分离 → 推流
|
||||
若主播下播应停止则 raise stream_ended_exception
|
||||
"""
|
||||
|
||||
# 检查 Demucs
|
||||
use_gpu = nvenc_params.get("demucs_use_gpu", True)
|
||||
model = _load_demucs_model(use_gpu)
|
||||
if model is None:
|
||||
raise RuntimeError("Demucs 模型不可用，将回退原始推流")
|
||||
|
||||
device = next(model.parameters()).device
|
||||
device_str = "cuda" if "cuda" in str(device) else "cpu"
|
||||
src_name = "低音" if mix_source == "bass" else "其他"
|
||||
mix_info = "纯人声" if vocal_mix_ratio >= 1.0 else f"{int(vocal_mix_ratio*100)}%人声+{int((1-vocal_mix_ratio)*100)}%{src_name}"
|
||||
print(f"[INFO] Demucs 人声分离已启用 ({device_str})，模式: {mix_info}，低通 9kHz 降尖锐")
|
||||
|
||||
# TCP 服务器用于音频（跨平台）
|
||||
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
|
||||
server.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
|
||||
server.bind(("127.0.0.1", 0))
|
||||
port = server.getsockname()[1]
|
||||
server.listen(1)
|
||||
|
||||
tcp_audio_url = f"tcp://127.0.0.1:{port}"
|
||||
stop_event = threading.Event()
|
||||
conn = [None] # 用 list 以便在闭包中修改
|
||||
|
||||
def accept_conn():
|
||||
server.settimeout(30)
|
||||
try:
|
||||
c, _ = server.accept()
|
||||
conn[0] = c
|
||||
except Exception:
|
||||
pass
|
||||
finally:
|
||||
try:
|
||||
server.close()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
accept_thread = threading.Thread(target=accept_conn, daemon=True)
|
||||
accept_thread.start()
|
||||
time.sleep(0.2) # 确保 server 已 listen
|
||||
|
||||
# FFmpeg 拉流（视频）
|
||||
ffmpeg_v_cmd = [
|
||||
"ffmpeg", "-y", "-loglevel", "info", "-nostdin", "-re",
|
||||
"-stats", "-stats_period", "1",
|
||||
"-rw_timeout", "30000000",
|
||||
"-reconnect", "1", "-reconnect_at_eof", "1", "-reconnect_streamed", "1",
|
||||
"-reconnect_delay_max", "5",
|
||||
"-fflags", "+genpts+discardcorrupt+nobuffer+flush_packets",
|
||||
"-err_detect", "ignore_err",
|
||||
"-headers", douyin_headers,
|
||||
"-i", real_url,
|
||||
"-map", "0:v", "-c:v", "copy", "-f", "nut", "pipe:1",
|
||||
]
|
||||
|
||||
# FFmpeg 拉流（音频）
|
||||
ffmpeg_a_cmd = [
|
||||
"ffmpeg", "-y", "-loglevel", "error", "-nostdin", "-re",
|
||||
"-rw_timeout", "30000000",
|
||||
"-reconnect", "1", "-reconnect_at_eof", "1", "-reconnect_streamed", "1",
|
||||
"-headers", douyin_headers,
|
||||
"-i", real_url,
|
||||
"-map", "0:a", "-f", "s16le", "-ac", str(DEMUCS_CHANNELS),
|
||||
"-ar", str(DEMUCS_SAMPLE_RATE), "pipe:1",
|
||||
]
|
||||
|
||||
# FFmpeg 推流：音频 tcp 放第一（FFmpeg 按顺序打开输入，pipe:0 会阻塞直到有数据，
|
||||
# 若 pipe 在前则永远连不上 tcp，导致 accept 超时）
|
||||
vf = "fps=30,scale=720:1280:force_original_aspect_ratio=decrease:flags=lanczos,pad=720:1280:(ow-iw)/2:(oh-ih)/2:black"
|
||||
ffmpeg_out_cmd = [
|
||||
"ffmpeg", "-y", "-loglevel", "info", "-nostdin",
|
||||
"-f", "s16le", "-ac", str(DEMUCS_CHANNELS), "-ar", str(DEMUCS_SAMPLE_RATE),
|
||||
"-i", tcp_audio_url,
|
||||
"-f", "nut", "-i", "pipe:0",
|
||||
"-map", "1:v", "-map", "0:a",
|
||||
"-vf", vf,
|
||||
"-c:v", nvenc_params.get("codec_v", "libx264"),
|
||||
"-preset", nvenc_params.get("preset_v", "fast"),
|
||||
"-profile:v", "high",
|
||||
"-b:v", f"{nvenc_params.get('video_bitrate_k', 4500)}k",
|
||||
"-maxrate", f"{nvenc_params.get('video_bitrate_k', 4500)+500}k",
|
||||
"-bufsize", f"{nvenc_params.get('video_bitrate_k', 4500)*2}k",
|
||||
"-fps_mode", "cfr", "-g", "60", "-keyint_min", "60", "-r", "30",
|
||||
"-bf", "0",
|
||||
"-pix_fmt", "yuv420p",
|
||||
"-c:a", "aac", "-b:a", "128k", "-ar", "48000", "-ac", "2",
|
||||
"-af", "lowpass=f=9000,aresample=async=1:first_pts=0",
|
||||
"-flags", "+global_header", "-flvflags", "no_duration_filesize",
|
||||
"-f", "flv", youtube_rtmp,
|
||||
]
|
||||
# NVENC 用 tune_param；libx264 用 sc_threshold + x264-params
|
||||
codec = nvenc_params.get("codec_v", "libx264")
|
||||
if nvenc_params.get("tune_param") and codec == "h264_nvenc":
|
||||
idx = ffmpeg_out_cmd.index("-profile:v")
|
||||
for p in reversed(nvenc_params["tune_param"]):
|
||||
ffmpeg_out_cmd.insert(idx, p)
|
||||
elif codec == "libx264":
|
||||
idx = ffmpeg_out_cmd.index("-bf")
|
||||
ffmpeg_out_cmd.insert(idx + 2, "-sc_threshold")
|
||||
ffmpeg_out_cmd.insert(idx + 3, "0")
|
||||
idx = ffmpeg_out_cmd.index("-pix_fmt")
|
||||
ffmpeg_out_cmd.insert(idx, "-x264-params")
|
||||
ffmpeg_out_cmd.insert(idx + 1, "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0")
|
||||
|
||||
proc_v = None
|
||||
proc_a = None
|
||||
proc_out = None
|
||||
demucs_thread = None
|
||||
|
||||
try:
|
||||
proc_v = subprocess.Popen(
|
||||
ffmpeg_v_cmd,
|
||||
stdin=subprocess.DEVNULL,
|
||||
stdout=subprocess.PIPE,
|
||||
stderr=subprocess.PIPE,
|
||||
bufsize=1024 * 1024,
|
||||
)
|
||||
proc_a = subprocess.Popen(
|
||||
ffmpeg_a_cmd,
|
||||
stdin=subprocess.DEVNULL,
|
||||
stdout=subprocess.PIPE,
|
||||
stderr=subprocess.DEVNULL,
|
||||
bufsize=1024 * 1024,
|
||||
)
|
||||
proc_out = subprocess.Popen(
|
||||
ffmpeg_out_cmd,
|
||||
stdin=subprocess.PIPE,
|
||||
stdout=subprocess.DEVNULL,
|
||||
stderr=subprocess.PIPE,
|
||||
bufsize=1024 * 1024,
|
||||
)
|
||||
|
||||
# 等待 TCP 连接（FFmpeg_out 会连接）
|
||||
accept_thread.join(timeout=15)
|
||||
if conn[0] is None:
|
||||
raise RuntimeError("Demucs 管道: 音频 TCP 连接超时")
|
||||
|
||||
# 视频转发线程
|
||||
def copy_video():
|
||||
try:
|
||||
while proc_v.poll() is None and proc_out.poll() is None:
|
||||
chunk = proc_v.stdout.read(1024 * 256)
|
||||
if not chunk:
|
||||
break
|
||||
proc_out.stdin.write(chunk)
|
||||
except Exception:
|
||||
pass
|
||||
finally:
|
||||
try:
|
||||
proc_out.stdin.close()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
copy_t = threading.Thread(target=copy_video, daemon=True)
|
||||
copy_t.start()
|
||||
|
||||
# Demucs 工作线程（从 proc_a 读，处理后写 conn）
|
||||
# proc_a 输出是 stdout，conn 是 socket。需要把 proc_a.stdout 的数据通过 socket 发到 FFmpeg。
|
||||
# FFmpeg_out 的第二个输入是 tcp，已经连接了 conn。所以我们从 proc_a 读，Demucs 处理，写 conn。
|
||||
# 但 proc_a.stdout 是 pipe，conn 是 socket。我们需要一个线程读 proc_a 并写 conn。
|
||||
# 注意：proc_a 输出到 stdout，我们读。conn 是 FFmpeg 作为 client 连上来的，所以 FFmpeg 在读，我们写 conn。
|
||||
demucs_thread = threading.Thread(
|
||||
target=_run_demucs_worker,
|
||||
args=(proc_a.stdout, conn[0], model, device, stop_event, vocal_mix_ratio, mix_source),
|
||||
daemon=True,
|
||||
)
|
||||
demucs_thread.start()
|
||||
|
||||
# 监控 proc_v 的 stderr（与源连接，用于检测下播）
|
||||
stderr_q = queue.Queue()
|
||||
reader_t = threading.Thread(target=stderr_reader_fn, args=(proc_v, stderr_q))
|
||||
reader_t.daemon = True
|
||||
reader_t.start()
|
||||
|
||||
# 监控 proc_out 的 stderr（推流到 YouTube），解析状态用于详细日志
|
||||
stream_stats = None
|
||||
if _STREAM_STATS_AVAILABLE:
|
||||
stream_stats = StreamStats(interval_sec=stats_interval_sec)
|
||||
stream_stats.start_periodic_printer()
|
||||
print(f"[INFO] 推流状态监控已启用，每 {stats_interval_sec}s 输出帧率/码率/网络等")
|
||||
|
||||
def _proc_out_stderr_reader():
|
||||
try:
|
||||
for line in iter(proc_out.stderr.readline, b""):
|
||||
if line:
|
||||
decoded = line.decode("utf-8", errors="replace").strip()
|
||||
if decoded:
|
||||
if stream_stats and parse_and_maybe_print(decoded, stream_stats, "[YouTube推流]", verbose=False):
|
||||
pass # 已由 parse 处理，进度行不重复打印
|
||||
else:
|
||||
print(f"[YouTube推流] {decoded}")
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
proc_out_reader_t = threading.Thread(target=_proc_out_stderr_reader, daemon=True)
|
||||
proc_out_reader_t.start()
|
||||
|
||||
start_time = last_frame_time = time.time()
|
||||
proc_v.last_out_ts = time.time()
|
||||
|
||||
while True:
|
||||
try:
|
||||
line = stderr_q.get(timeout=stderr_queue_timeout)
|
||||
except queue.Empty:
|
||||
# 若 proc_out（推流进程）已异常退出，立即报告
|
||||
if proc_out.poll() is not None and proc_out.returncode != 0:
|
||||
print(f"[ERROR] YouTube 推流进程已退出，返回码: {proc_out.returncode}，可能是 Demucs 处理跟不上或网络问题")
|
||||
print(f"[TIP] 若频繁断流，可尝试 config/youtube.ini 中设置 enable_demucs = 否 使用原始音频")
|
||||
break
|
||||
if time.time() - getattr(proc_v, "last_out_ts", time.time()) > stale_output_seconds:
|
||||
print("[WARN] 长时间无任何日志，强制重启进程")
|
||||
break
|
||||
continue
|
||||
|
||||
if line is None:
|
||||
if proc_v.poll() is not None:
|
||||
break
|
||||
continue
|
||||
|
||||
# proc_v 的 stderr 为 bytes，需解码为 str
|
||||
if isinstance(line, bytes):
|
||||
line = line.decode("utf-8", errors="replace")
|
||||
line = line.strip()
|
||||
if line.startswith("__ERR__READER__"):
|
||||
print(f"[ERROR] stderr reader 异常: {line}")
|
||||
continue
|
||||
|
||||
if line:
|
||||
proc_v.last_out_ts = time.time()
|
||||
if stream_stats:
|
||||
stream_stats.parse_lag_event(line) # 源端抖动统计
|
||||
print(f"[FFmpeg] {line}")
|
||||
line_lower = line.lower()
|
||||
if any(kw in line_lower for kw in end_keywords):
|
||||
print("[ERROR] 检测到主播真下播或被明确拒绝，停止推流")
|
||||
raise stream_ended_exception()
|
||||
if "frame=" in line_lower or "fps=" in line_lower:
|
||||
last_frame_time = time.time()
|
||||
if time.time() - start_time > start_check_after:
|
||||
if time.time() - last_frame_time > no_frame_timeout:
|
||||
print(f"[WARN] 连续 {no_frame_timeout}s 无新帧，判定主播已下播")
|
||||
raise stream_ended_exception()
|
||||
|
||||
except stream_ended_exception:
|
||||
raise
|
||||
except Exception as e:
|
||||
print(f"[ERROR] Demucs 管道异常: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
finally:
|
||||
stop_event.set()
|
||||
if stream_stats is not None:
|
||||
stream_stats.stop()
|
||||
if proc_out is not None and proc_out.poll() is not None and proc_out.returncode != 0:
|
||||
print(f"[INFO] YouTube 推流进程退出码: {proc_out.returncode}")
|
||||
cleanup_proc_fn(proc_v)
|
||||
cleanup_proc_fn(proc_a)
|
||||
cleanup_proc_fn(proc_out)
|
||||
try:
|
||||
if conn[0]:
|
||||
conn[0].close()
|
||||
except Exception:
|
||||
pass
|
||||
try:
|
||||
server.close()
|
||||
except Exception:
|
||||
pass
|
||||
119
docs/REALTIME_AUDIO_DEMUCS.md
Normal file
119
docs/REALTIME_AUDIO_DEMUCS.md
Normal file
@@ -0,0 +1,119 @@
|
||||
# 实时音频处理最佳方案（Demucs + RTX 3060）
|
||||
|
||||
## 一、方案对比
|
||||
|
||||
| 方案 | 版权规避率 | 延迟 | 算力 | 复杂度 |
|
||||
|------|------------|------|------|--------|
|
||||
| **FFmpeg 纯滤波**（当前） | 60-70% | 0 | 低 | 低 |
|
||||
| **Demucs 人声分离** | 90%+ | 4-8s | RTX 3060 | 中高 |
|
||||
|
||||
---
|
||||
|
||||
## 二、推荐架构：Demucs 实时管道
|
||||
|
||||
```
|
||||
抖音流 ─┬─ FFmpeg 解复用 ─┬─ 视频 ─────────────────────────────┐
|
||||
│ │ │
|
||||
│ └─ 音频 ─→ Python Demucs ─→ 人声 ────┼─→ FFmpeg 复用 ─→ YouTube RTMP
|
||||
│ (分块处理) │
|
||||
└────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
### 核心参数（RTX 3060 12GB）
|
||||
|
||||
| 参数 | 推荐值 | 说明 |
|
||||
|------|--------|------|
|
||||
| **模型** | `htdemucs`（单模型，非 _ft） | 速度最快，质量够用 |
|
||||
| **chunk 长度** | 2.5-3 秒 | 延迟 ≈ 2×chunk ≈ 5-6s |
|
||||
| **overlap** | 0.25 | 减少接缝，质量更好 |
|
||||
| **shifts** | 0 | 降低算力，实时必需 |
|
||||
| **segment** | 7.8（默认）或更小 | 显存不足时减小 |
|
||||
|
||||
### RTX 3060 算力
|
||||
|
||||
- 约 13 TFLOPS，高于 Demucs 实时所需 2 TFLOPS
|
||||
- 12GB 显存足够 htdemucs（约 6-8GB）
|
||||
- 预期：**2-4× 实时速度**，可满足直播
|
||||
|
||||
---
|
||||
|
||||
## 三、实现方式
|
||||
|
||||
### 方式 A：Python 自建管道（推荐）
|
||||
|
||||
```python
|
||||
# 伪代码流程
|
||||
# 1. FFmpeg 从抖音拉流，输出: -vn -acodec pcm_s16le -ar 44100 -ac 1 pipe:1
|
||||
# 2. 主进程读取音频块（2.5s = 110250 samples @ 44.1kHz）
|
||||
# 3. 调用 demucs.separate_audio(model, chunk) 得到 vocals
|
||||
# 4. 人声写入 pipe，FFmpeg 另一进程读取并与视频复用推流
|
||||
```
|
||||
|
||||
**依赖**：
|
||||
```
|
||||
demucs
|
||||
torch
|
||||
torchaudio
|
||||
```
|
||||
|
||||
**模型加载**：
|
||||
```python
|
||||
from demucs.pretrained import get_model
|
||||
model = get_model('htdemucs') # 单模型，非 htdemucs_ft
|
||||
```
|
||||
|
||||
### 方式 B：GStreamer（若可用）
|
||||
|
||||
GStreamer 1.28+ 内置 demucs 元素，CPU 约 8× 实时：
|
||||
|
||||
```bash
|
||||
# 需安装 gst-plugins-rs (含 demucs)
|
||||
gst-launch-1.0 uridecodebin uri=抖音流 ! audioconvert ! demucs ! ...
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 四、分块处理要点
|
||||
|
||||
1. **重叠**：chunk 之间 25% 重叠，避免接缝
|
||||
2. **队列**：双缓冲，一块处理时另一块接收
|
||||
3. **采样率**：Demucs 默认 44100 Hz，与 FFmpeg 输出一致
|
||||
4. **延迟**：总延迟 ≈ 2 × chunk 长度（约 5-6 秒可接受）
|
||||
|
||||
---
|
||||
|
||||
## 五、快速验证（离线测试）
|
||||
|
||||
```bash
|
||||
# 安装
|
||||
pip install demucs torch torchaudio
|
||||
|
||||
# 测试 30 秒音频分离速度
|
||||
demucs -n htdemucs --two-stems=vocals -j 1 test_30s.mp3 -o output/
|
||||
|
||||
# 若 30s 在 10s 内完成 → 可实时
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 六、与当前方案的关系
|
||||
|
||||
- **当前**：`douyin_youtube_ffplay.py` 纯 FFmpeg，60-70% 规避率
|
||||
- **升级**：可新增 `douyin_youtube_demucs.py`，集成 Demucs 管道
|
||||
- **切换**：通过 config 选择 `mode = ffmpeg` 或 `mode = demucs`
|
||||
|
||||
---
|
||||
|
||||
## 七、配置建议（config/youtube.ini）
|
||||
|
||||
```ini
|
||||
[youtube]
|
||||
key = xxx
|
||||
|
||||
# 音频模式: ffmpeg | demucs
|
||||
; audio_mode = ffmpeg
|
||||
|
||||
# Demucs 专用
|
||||
; demucs_chunk = 2.5
|
||||
; demucs_model = htdemucs
|
||||
```
|
||||
50
docs/YOUTUBE_LIVE_SEO.md
Normal file
50
docs/YOUTUBE_LIVE_SEO.md
Normal file
@@ -0,0 +1,50 @@
|
||||
# YouTube Live 转播优化与 SEO 指南
|
||||
|
||||
## 一、推流技术参数（已自动优化）
|
||||
|
||||
- **分辨率**：720p 竖屏 (720×1280)
|
||||
- **比特率**：4.5 Mbps（可在 config/youtube.ini 的 bitrate 调整）
|
||||
- **关键帧**：2 秒（符合 YouTube 推荐）
|
||||
- **音频**：AAC 128kbps 48kHz 立体声
|
||||
- **协议**：RTMPS 加密推流（推荐）
|
||||
- **防版权**：开源音频处理链（降噪 + 带通 + EQ + 相位扰动）
|
||||
|
||||
## 二、YouTube 直播 SEO 与推荐权重
|
||||
|
||||
直播标题、描述、标签在 **YouTube 工作室** 创建直播时设置，推流程序无法修改。以下为提升推荐权重的建议：
|
||||
|
||||
### 标题（前 60 字最关键）
|
||||
|
||||
- 主关键词放前面，如：`LIVE 摆摊日常 | 路边直播`
|
||||
- 可加实时感词汇：LIVE、直播、实时、正在直播
|
||||
- 避免堆砌关键词，保持可读性
|
||||
|
||||
### 描述（前 125 字影响搜索）
|
||||
|
||||
- 首段包含主关键词和内容概要
|
||||
- 可说明：转播自抖音、直播内容类型、时间等
|
||||
|
||||
### 标签
|
||||
|
||||
- 5–15 个相关标签，如：live stream, 摆摊, 路边直播, 抖音转播
|
||||
- 与标题、描述语义一致
|
||||
|
||||
### 算法相关因素
|
||||
|
||||
- **观看时长**：用户停留越久，推荐越高
|
||||
- **互动**：点赞、评论、分享
|
||||
- **画质与音质**：清晰稳定的流有助于留存
|
||||
|
||||
## 三、config/youtube.ini 配置说明
|
||||
|
||||
| 配置项 | 说明 | 示例 |
|
||||
|--------|------|------|
|
||||
| key | 必填，YouTube stream key | key = xxxx-xxxx-xxxx |
|
||||
| rtmps | 是否用 RTMPS（默认是） | rtmps = 否 |
|
||||
| bitrate | 视频比特率 kbps | bitrate = 4500 |
|
||||
|
||||
## 四、稳定性建议
|
||||
|
||||
1. 网络：上行带宽 ≥ 6 Mbps，建议有线
|
||||
2. 推流前在 YouTube 工作室完成标题、描述、标签设置
|
||||
3. 定期检查 config/youtube.ini 中的 stream key 是否有效
|
||||
@@ -11,23 +11,6 @@ import re
|
||||
import os
|
||||
import configparser
|
||||
|
||||
# Demucs 管道（可选，用于防版权）
|
||||
try:
|
||||
from demucs_pipeline import (
|
||||
_check_demucs_available,
|
||||
run_demucs_pipeline,
|
||||
)
|
||||
_DEMUCS_MODULE_AVAILABLE = True
|
||||
except ImportError:
|
||||
_DEMUCS_MODULE_AVAILABLE = False
|
||||
_check_demucs_available = lambda: False
|
||||
|
||||
try:
|
||||
from stream_stats import StreamStats, parse_and_maybe_print
|
||||
_STREAM_STATS_AVAILABLE = True
|
||||
except ImportError:
|
||||
_STREAM_STATS_AVAILABLE = False
|
||||
|
||||
|
||||
class StreamEnded(Exception):
|
||||
"""主播真实下播的专用异常"""
|
||||
@@ -96,64 +79,42 @@ def start_douyin_youtube_ffplay(
|
||||
只从 config/youtube.ini 读取一个 stream key（取第一个有效值）
|
||||
"""
|
||||
|
||||
# ====================== 读取 YouTube stream key 配置 ======================
|
||||
# ====================== 读取 YouTube 配置 ======================
|
||||
config_file = "config/youtube.ini"
|
||||
rtmps_base = "rtmps://a.rtmp.youtube.com/live2/"
|
||||
rtmp_base = "rtmp://a.rtmp.youtube.com/live2/"
|
||||
default_key = "qxvb-r47b-r5ju-6ud3-6k7z" # 备用默认 key
|
||||
youtube_rtmp = rtmp_base + default_key # 默认值
|
||||
use_rtmps = True
|
||||
# 720p 竖屏 YouTube 建议 4–6 Mbps，偏低易触发「数据不足/卡顿」提示
|
||||
b_v, maxrate, bufsize = "4000k", "4500k", "8000k"
|
||||
stream_key = None
|
||||
fast_audio = False # config: fast_audio=1 可跳过 arnndn+长 EQ，显著减轻 CPU
|
||||
|
||||
enable_demucs = False
|
||||
demucs_use_gpu = True
|
||||
demucs_vocal_mix = 0.75 # 0.75=更自然少尖锐；1.0=纯人声
|
||||
demucs_mix_source = "bass" # bass=无混响无重复；other=可能带混响
|
||||
video_bitrate_mbps = 2.5 # YouTube 推荐 2.5，可设 4-4.5 追求更高画质
|
||||
stats_interval_sec = 10 # 推流状态日志间隔
|
||||
if os.path.exists(config_file):
|
||||
config = configparser.ConfigParser()
|
||||
config.read(config_file, encoding="utf-8")
|
||||
if config.has_section("youtube"):
|
||||
for key_name, value in config.items("youtube"):
|
||||
key_lower = key_name.strip().lower()
|
||||
val = value.strip()
|
||||
if key_lower == "enable_demucs":
|
||||
enable_demucs = val.lower() in ("1", "true", "yes", "是")
|
||||
elif key_lower == "demucs_use_gpu":
|
||||
demucs_use_gpu = val.lower() not in ("0", "false", "no", "否")
|
||||
elif key_lower == "demucs_vocal_mix":
|
||||
for k, v in config.items("youtube"):
|
||||
v = (v or "").strip()
|
||||
if k == "rtmps" and v.lower() in ("0", "false", "否"):
|
||||
use_rtmps = False
|
||||
elif k == "fast_audio" and v.lower() in ("1", "true", "yes", "是", "开", "on"):
|
||||
fast_audio = True
|
||||
elif k == "bitrate" and v:
|
||||
try:
|
||||
v = float(val)
|
||||
if 0.5 <= v <= 1.0:
|
||||
demucs_vocal_mix = v
|
||||
n = int(v)
|
||||
b_v, maxrate, bufsize = f"{n}k", f"{min(n * 12 // 10, 8000)}k", f"{n * 2}k"
|
||||
except ValueError:
|
||||
pass
|
||||
elif key_lower == "demucs_mix_source":
|
||||
if val.lower() in ("bass", "other"):
|
||||
demucs_mix_source = val.lower()
|
||||
elif key_lower == "video_bitrate_mbps":
|
||||
try:
|
||||
v = float(val)
|
||||
if 2.0 <= v <= 8.0:
|
||||
video_bitrate_mbps = v
|
||||
except ValueError:
|
||||
pass
|
||||
elif key_lower == "stats_interval_sec":
|
||||
try:
|
||||
v = int(val)
|
||||
if 5 <= v <= 120:
|
||||
stats_interval_sec = v
|
||||
except ValueError:
|
||||
pass
|
||||
elif val and key_lower in ("key", "stream_key", "streamkey"):
|
||||
youtube_rtmp = val if val.startswith("rtmp://") else rtmp_base + val
|
||||
print(f"[INFO] 从 {config_file} 读取 YouTube stream key: {youtube_rtmp}")
|
||||
# 兼容：若上面未匹配到 key，取第一个非配置项的值作为 stream key
|
||||
if youtube_rtmp == rtmp_base + default_key:
|
||||
for k, v in config.items("youtube"):
|
||||
if k.strip().lower() not in ("enable_demucs", "demucs_use_gpu", "demucs_vocal_mix", "demucs_mix_source", "video_bitrate_mbps", "stats_interval_sec") and v.strip():
|
||||
v = v.strip()
|
||||
youtube_rtmp = v if v.startswith("rtmp://") else rtmp_base + v
|
||||
print(f"[INFO] 从 {config_file} 读取 YouTube stream key: {youtube_rtmp}")
|
||||
break
|
||||
elif (k == "key" or k == "stream_key") and v and not v.startswith("#"):
|
||||
stream_key = v
|
||||
if stream_key:
|
||||
if stream_key.startswith("rtmp://") or stream_key.startswith("rtmps://"):
|
||||
youtube_rtmp = stream_key
|
||||
else:
|
||||
youtube_rtmp = (rtmps_base if use_rtmps else rtmp_base) + stream_key
|
||||
print(f"[INFO] 从 {config_file} 读取 YouTube 推流地址")
|
||||
else:
|
||||
raise ValueError(f"请在 {config_file} 中配置 key=你的stream_key")
|
||||
|
||||
# ====================== 常量配置 ======================
|
||||
MAX_RETRY_DELAY = 90
|
||||
@@ -162,6 +123,7 @@ def start_douyin_youtube_ffplay(
|
||||
NO_FRAME_TIMEOUT = 120
|
||||
START_CHECK_AFTER = 25
|
||||
STALE_OUTPUT_SECONDS = 40
|
||||
RECONNECT_DELAY_MAX = 10
|
||||
|
||||
END_KEYWORDS = [
|
||||
"connection reset by peer",
|
||||
@@ -169,6 +131,7 @@ def start_douyin_youtube_ffplay(
|
||||
"invalid data found",
|
||||
"server returned 403",
|
||||
"server returned 404",
|
||||
"server returned 500",
|
||||
"ingestion error",
|
||||
"access denied",
|
||||
"packet too short",
|
||||
@@ -176,6 +139,10 @@ def start_douyin_youtube_ffplay(
|
||||
"live has ended",
|
||||
"no route to host",
|
||||
"connection timed out",
|
||||
"connection refused",
|
||||
"error writing output",
|
||||
"broken pipe",
|
||||
"i/o error",
|
||||
]
|
||||
|
||||
douyin_headers = (
|
||||
@@ -190,318 +157,102 @@ def start_douyin_youtube_ffplay(
|
||||
stream_title = sanitize_title(f"{anchor_name}{('_' + clean_title) if clean_title else ''}_{timestamp_str}")
|
||||
print(f"[INFO] {rec_info} 开始推流到 YouTube: {stream_title}")
|
||||
|
||||
# ====================== NVENC 检测 ======================
|
||||
# FFmpeg NVENC 需驱动 570+，否则会报 "Driver does not support the required nvenc API version"
|
||||
# ====================== NVENC 检测（符合 YouTube 推荐比特率）======================
|
||||
codec_v = "libx264"
|
||||
preset_v = "veryfast"
|
||||
tune_param = ["-tune", "zerolatency"]
|
||||
# ultrafast+zerolatency：在软编下尽量让 speed≥1.0；画质略降、直播可接受
|
||||
video_args = ["-preset", "ultrafast", "-tune", "zerolatency", "-profile:v", "high", "-level", "4.0",
|
||||
"-b:v", b_v, "-maxrate", maxrate, "-bufsize", bufsize]
|
||||
try:
|
||||
if platform.system().lower() in ["windows", "linux"]:
|
||||
check = subprocess.run(["nvidia-smi"], capture_output=True, timeout=5)
|
||||
if check.returncode == 0:
|
||||
enc = subprocess.run(["ffmpeg", "-hide_banner", "-encoders"], capture_output=True, text=True, timeout=5)
|
||||
if "h264_nvenc" in (enc.stdout or ""):
|
||||
# 检查驱动版本，NVENC API 13.0 需 570+
|
||||
driver_ok = False
|
||||
try:
|
||||
ver_out = subprocess.run(
|
||||
["nvidia-smi", "--query-gpu=driver_version", "--format=csv,noheader"],
|
||||
capture_output=True, text=True, timeout=5
|
||||
)
|
||||
if ver_out.returncode == 0 and ver_out.stdout:
|
||||
ver_str = ver_out.stdout.strip().split("\n")[0].strip()
|
||||
major = int(ver_str.split(".")[0]) if ver_str else 0
|
||||
driver_ok = major >= 570
|
||||
if not driver_ok:
|
||||
print(f"[INFO] NVIDIA 驱动 {ver_str} 低于 570，使用软件编码 (libx264)")
|
||||
except Exception:
|
||||
pass
|
||||
if driver_ok:
|
||||
codec_v = "h264_nvenc"
|
||||
preset_v = "p5"
|
||||
br_k = int(video_bitrate_mbps * 1000)
|
||||
tune_param = ["-tune", "ll", "-rc", "vbr", "-b:v", f"{br_k}k", "-maxrate", f"{br_k+500}k", "-bufsize", f"{br_k*2}k"]
|
||||
print("[INFO] 检测到 NVIDIA GPU → 使用 NVENC 硬件加速")
|
||||
codec_v = "h264_nvenc"
|
||||
video_args = ["-profile:v", "high", "-level", "4.0",
|
||||
"-tune", "ll", "-rc", "cbr", "-b:v", b_v,
|
||||
"-maxrate", maxrate, "-bufsize", bufsize]
|
||||
print("[INFO] 检测到 NVIDIA GPU → 使用 NVENC 硬件加速")
|
||||
except Exception as e:
|
||||
print(f"[WARN] NVENC 检测失败，回退软件编码: {e}")
|
||||
|
||||
br_k = int(video_bitrate_mbps * 1000)
|
||||
nvenc_params = {
|
||||
"codec_v": codec_v,
|
||||
"preset_v": preset_v,
|
||||
"tune_param": tune_param,
|
||||
"demucs_use_gpu": demucs_use_gpu,
|
||||
"video_bitrate_k": br_k,
|
||||
}
|
||||
use_demucs = enable_demucs and _DEMUCS_MODULE_AVAILABLE and _check_demucs_available()
|
||||
# ====================== 开源音频处理：背景音乐弱化 + 防版权 ======================
|
||||
_script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
_ffmpeg_cwd = None
|
||||
if fast_audio:
|
||||
print("[INFO] fast_audio=开：轻量音频链（无 arnndn/长 EQ），减轻 CPU 以利 speed≥1.0")
|
||||
_af_chain = "afftdn=nf=-26:tn=1,aresample=async=1:first_pts=0"
|
||||
else:
|
||||
# 优先 RNNoise(arnndn)，无模型则用 afftdn；aphaser 相位扰动可干扰 Content ID 指纹
|
||||
_arnndn_paths = [
|
||||
os.path.join(_script_dir, "arnndn-models", "cb.rnnn"),
|
||||
os.path.join(os.path.dirname(_script_dir), "arnndn-models", "cb.rnnn"),
|
||||
"arnndn-models/cb.rnnn",
|
||||
]
|
||||
_arnndn_model = None
|
||||
for _p in _arnndn_paths:
|
||||
if os.path.isfile(_p):
|
||||
_arnndn_model = os.path.normpath(_p)
|
||||
break
|
||||
if _arnndn_model:
|
||||
print(f"[INFO] 使用 RNNoise 降噪模型: {_arnndn_model}")
|
||||
_arnndn_base = os.path.dirname(os.path.dirname(os.path.abspath(_arnndn_model)))
|
||||
_af_denoise = "arnndn=m=arnndn-models/cb.rnnn:mix=0.82,"
|
||||
_ffmpeg_cwd = _arnndn_base
|
||||
else:
|
||||
print("[INFO] 未找到 arnndn 模型，使用 afftdn 降噪（可克隆 richardpl/arnndn-models 到 arnndn-models/）")
|
||||
_af_denoise = "afftdn=nf=-26:tn=1,"
|
||||
|
||||
# 720p (最原始)
|
||||
# 强化版：收紧带通 + 频率偏移 + 音高微调 + 多段EQ + 相位扰动（纯 FFmpeg 理论上限 ~70%）
|
||||
_af_chain = (
|
||||
_af_denoise
|
||||
+ "highpass=f=200,lowpass=f=3800,"
|
||||
+ "equalizer=f=150:width_type=o:width=2.5:g=-14,"
|
||||
+ "equalizer=f=350:width_type=o:width=2:g=-10,"
|
||||
+ "equalizer=f=600:width_type=o:width=1.8:g=-8,"
|
||||
+ "equalizer=f=1000:width_type=o:width=1.5:g=-6,"
|
||||
+ "equalizer=f=2500:width_type=o:width=1.2:g=-4,"
|
||||
+ "acompressor=threshold=-26dB:ratio=5:attack=8:release=80:makeup=5,"
|
||||
+ "afreqshift=shift=22,"
|
||||
+ "asetrate=48000*1.035,aresample=48000,"
|
||||
+ "aphaser=type=t:decay=0.4:delay=3:speed=0.7,"
|
||||
+ "volume=1.12,"
|
||||
+ "aresample=async=1:first_pts=0"
|
||||
)
|
||||
|
||||
# 720p 竖屏，符合 YouTube 推荐：4–6 Mbps、2s 关键帧、AAC 128k
|
||||
_video_mid = ["-vsync", "cfr", "-g", "60", "-keyint_min", "60", "-r", "30",
|
||||
"-bf", "0", "-sc_threshold", "0"]
|
||||
if codec_v == "libx264":
|
||||
_video_mid += ["-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0"]
|
||||
# -re：按源时间戳节奏拉流，避免突发过快；不用 realtime/arealtime（输入抖动时易让 YouTube 判为数据不足）
|
||||
ffmpeg_command = [
|
||||
"ffmpeg", "-y", "-loglevel", "info", "-nostdin", "-re",
|
||||
"ffmpeg", "-y", "-loglevel", "info", "-nostdin",
|
||||
"-stats", "-stats_period", "1",
|
||||
"-rw_timeout", "30000000",
|
||||
"-rw_timeout", "50000000",
|
||||
"-reconnect", "1", "-reconnect_at_eof", "1", "-reconnect_streamed", "1",
|
||||
"-reconnect_delay_max", "5",
|
||||
"-fflags", "+genpts+discardcorrupt+nobuffer+flush_packets",
|
||||
"-flags", "low_delay",
|
||||
"-reconnect_delay_max", str(RECONNECT_DELAY_MAX),
|
||||
"-fflags", "+genpts+discardcorrupt",
|
||||
"-err_detect", "ignore_err",
|
||||
"-max_delay", "80000",
|
||||
"-max_delay", "500000",
|
||||
"-thread_queue_size", "2048",
|
||||
|
||||
"-filter_threads", "4",
|
||||
"-headers", douyin_headers,
|
||||
"-re",
|
||||
"-i", real_url,
|
||||
# 720p
|
||||
"-vf", "fps=30,scale=720:1280:force_original_aspect_ratio=decrease:flags=lanczos,pad=720:1280:(ow-iw)/2:(oh-ih)/2:black",
|
||||
"-c:v", "libx264",
|
||||
"-preset", "fast",
|
||||
# "-tune", "zerolatency",
|
||||
"-profile:v", "high",
|
||||
# 720p，画质优先，YouTube 推荐 3-8 Mbps
|
||||
"-b:v", f"{br_k}k", "-maxrate", f"{br_k+500}k", "-bufsize", f"{br_k*2}k",
|
||||
"-fps_mode", "cfr",
|
||||
"-g", "60", "-keyint_min", "60",
|
||||
"-r", "30",
|
||||
"-bf", "0",
|
||||
"-sc_threshold", "0",
|
||||
# "-nal-hrd", "cbr", # 改2：强制 CBR
|
||||
# 720p
|
||||
# "-x264-params", "nal-hrd=cbr:force-cfr=1:scenecut=0:filler=1", # 改3：简化 params，锁死 CBR
|
||||
"-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0",
|
||||
# bilinear 比 lanczos 轻很多，利于 speed 稳定在 ≥1.0x
|
||||
"-vf", "fps=30,scale=720:1280:force_original_aspect_ratio=decrease:flags=bilinear,pad=720:1280:(ow-iw)/2:(oh-ih)/2:black",
|
||||
"-c:v", codec_v,
|
||||
*video_args,
|
||||
*_video_mid,
|
||||
"-pix_fmt", "yuv420p",
|
||||
"-c:a", "aac", "-b:a", "128k", "-ar", "48000", "-ac", "2", # 改4：1080p可音频上 128k（YouTube 推荐）
|
||||
"-af", "aresample=async=1:first_pts=0",
|
||||
|
||||
"-c:a", "aac", "-b:a", "128k", "-ar", "48000", "-ac", "2",
|
||||
"-af", _af_chain,
|
||||
"-flags", "+global_header",
|
||||
"-flvflags", "no_duration_filesize",
|
||||
"-f", "flv", youtube_rtmp
|
||||
]
|
||||
|
||||
|
||||
|
||||
|
||||
# "arnndn=m=./arnndn-models/cb.rnnn:mix=0.85," # 人声增强
|
||||
# 720p-低CPU + 背景音乐处理 + 防ContentID
|
||||
# ffmpeg_command = [
|
||||
# "ffmpeg", "-y", "-loglevel", "info", "-nostdin", "-re",
|
||||
# "-stats", "-stats_period", "1",
|
||||
# "-rw_timeout", "30000000",
|
||||
# "-reconnect", "1", "-reconnect_at_eof", "1", "-reconnect_streamed", "1",
|
||||
# "-reconnect_delay_max", "5",
|
||||
# "-fflags", "+genpts+discardcorrupt+nobuffer+flush_packets",
|
||||
# "-flags", "low_delay",
|
||||
# "-err_detect", "ignore_err",
|
||||
# "-max_delay", "80000",
|
||||
# "-thread_queue_size", "2048",
|
||||
|
||||
# "-headers", douyin_headers,
|
||||
# "-i", real_url,
|
||||
|
||||
# # 视频处理 720p
|
||||
# "-vf",
|
||||
# "fps=25,scale=720:1280:force_original_aspect_ratio=decrease:flags=bicubic,"
|
||||
# "pad=720:1280:(ow-iw)/2:(oh-ih)/2:black",
|
||||
|
||||
# "-c:v", "libx264",
|
||||
# "-preset", "veryfast", # 降低CPU
|
||||
# "-profile:v", "high",
|
||||
# "-b:v", "2600k", "-maxrate", "3000k", "-bufsize", "5200k",
|
||||
# "-vsync", "cfr",
|
||||
# "-g", "50", "-keyint_min", "50", # 与fps=25匹配
|
||||
# "-r", "25",
|
||||
# "-bf", "0",
|
||||
# "-sc_threshold", "0",
|
||||
# "-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0",
|
||||
# "-pix_fmt", "yuv420p",
|
||||
|
||||
# # 音频处理（轻量 + 背景音乐弱化 + 防Content ID）
|
||||
# "-c:a", "aac", "-b:a", "128k", "-ar", "48000", "-ac", "2",
|
||||
# "-af",
|
||||
# "afftdn=nf=-28:tn=1," # 轻 FFT 降噪，背景弱化
|
||||
# "highpass=f=120,lowpass=f=4800," # 切低频鼓 & 高频镲
|
||||
# "equalizer=f=250:width_type=o:width=2:g=-8," # 衰减低中频
|
||||
# "equalizer=f=800:width_type=o:width=1.5:g=-5," # 衰减中频
|
||||
# "acompressor=threshold=-30dB:ratio=4:attack=10:release=100:makeup=4," # 压动态
|
||||
# "asetrate=48000*1.02,aresample=48000," # 音高微升
|
||||
# "afreqshift=shift=15," # 小幅频率偏移
|
||||
# "volume=1.1," # 音量补偿
|
||||
# "aresample=async=1:first_pts=0", # 音视频同步
|
||||
|
||||
# # 推流参数
|
||||
# "-flvflags", "no_duration_filesize",
|
||||
# "-f", "flv", youtube_rtmp
|
||||
# ]
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# 1080p
|
||||
# ffmpeg_command = [
|
||||
# "ffmpeg", "-y", "-loglevel", "info", "-nostdin", "-re",
|
||||
# "-stats", "-stats_period", "1",
|
||||
# "-rw_timeout", "30000000",
|
||||
# "-reconnect", "1", "-reconnect_at_eof", "1",
|
||||
# "-reconnect_streamed", "1",
|
||||
# "-reconnect_delay_max", "5",
|
||||
# "-fflags", "+genpts+discardcorrupt+nobuffer+flush_packets",
|
||||
# "-flags", "low_delay",
|
||||
# "-err_detect", "ignore_err",
|
||||
# "-max_delay", "80000",
|
||||
# "-thread_queue_size", "2048",
|
||||
|
||||
# "-headers", douyin_headers,
|
||||
# "-i", real_url,
|
||||
|
||||
# # 视频：不动你原策略，只给编码喘口气
|
||||
# "-vf", "fps=25,scale=1080:1920:force_original_aspect_ratio=decrease:flags=bicubic,"
|
||||
# "pad=1080:1920:(ow-iw)/2:(oh-ih)/2:black",
|
||||
|
||||
# "-c:v", "libx264",
|
||||
# "-preset", "superfast",
|
||||
# "-tune", "zerolatency",
|
||||
# "-profile:v", "high",
|
||||
# "-b:v", "5200k", "-maxrate", "5800k", "-bufsize", "10400k",
|
||||
# "-vsync", "cfr",
|
||||
# "-g", "50", "-keyint_min", "50",
|
||||
# "-r", "25",
|
||||
# "-bf", "0",
|
||||
# "-sc_threshold", "0",
|
||||
# "-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0",
|
||||
# "-pix_fmt", "yuv420p",
|
||||
|
||||
# # 音频
|
||||
# "-c:a", "aac", "-b:a", "128k", "-ar", "44100", "-ac", "2",
|
||||
|
||||
# "-af",
|
||||
# "afftdn=nf=-18:tn=1,"
|
||||
# "highpass=f=120,lowpass=f=4600,"
|
||||
# "equalizer=f=250:width_type=o:width=2:g=-6,"
|
||||
# "equalizer=f=900:width_type=o:width=1.4:g=-4,"
|
||||
# "asetrate=48000*1.012,aresample=48000,"
|
||||
# "acompressor=threshold=-30dB:ratio=4:attack=10:release=120:makeup=4,"
|
||||
# "volume=1.10,"
|
||||
# "aresample=async=1:first_pts=0",
|
||||
|
||||
# "-flvflags", "no_duration_filesize",
|
||||
# "-f", "flv", youtube_rtmp
|
||||
# ]
|
||||
|
||||
|
||||
# 1080p - 极致优化版本（Ubuntu Server 专用，高质量 + YouTube直播推荐友好 + 强防Content ID）
|
||||
# 针对Ubuntu server（通常CPU较强，无iOS硬件限制）：
|
||||
# - preset 升级到 medium 或 slow（如果CPU能承受，质量显著提升）
|
||||
# - 比特率保持8500k-10000k峰值，符合YouTube 1080p直播高质量推荐
|
||||
# - 音频防Content ID：音高+5%、频率偏移、多段EQ衰减背景音乐、强压缩、相位扰动（使用aphaser正确参数）、轻噪门
|
||||
# - 移除无效参数，修复之前aphaser错误（aphaser支持in_gain/out_gain/delay/decay/speed/type，不支持feedback）
|
||||
# - Ubuntu下推荐使用最新FFmpeg（apt install ffmpeg 或从源码编译支持libx264）
|
||||
|
||||
# ffmpeg_command = [
|
||||
# "ffmpeg", "-y", "-loglevel", "info", "-nostdin", "-re",
|
||||
# "-stats", "-stats_period", "1",
|
||||
# "-rw_timeout", "30000000",
|
||||
# "-reconnect", "1", "-reconnect_at_eof", "1", "-reconnect_streamed", "1",
|
||||
# "-reconnect_delay_max", "5",
|
||||
# "-fflags", "+genpts+discardcorrupt+nobuffer+flush_packets",
|
||||
# "-flags", "low_delay",
|
||||
# "-err_detect", "ignore_err",
|
||||
# "-max_delay", "50000",
|
||||
# "-thread_queue_size", "4096",
|
||||
|
||||
# "-headers", douyin_headers,
|
||||
# "-i", real_url,
|
||||
|
||||
# # 视频处理：1080p 纵屏优化，黑边填充
|
||||
# "-vf",
|
||||
# "fps=25,scale=1080:1920:force_original_aspect_ratio=decrease:flags=bicubic,"
|
||||
# "pad=1080:1920:(ow-iw)/2:(oh-ih)/2:black",
|
||||
|
||||
# "-c:v", "libx264",
|
||||
# "-preset", "ultrafast", # Ubuntu server CPU通常能承受，质量比faster好很多；若掉帧可回退到faster或veryfast
|
||||
# "-threads", "4",
|
||||
# "-tune", "zerolatency",
|
||||
# "-profile:v", "high",
|
||||
# "-level", "4.2", # 支持1080p@25fps
|
||||
# # "-b:v", "8500k", "-maxrate", "10000k", "-bufsize", "20000k",
|
||||
# "-b:v", "4500k", "-maxrate", "5500k", "-bufsize", "9000k",
|
||||
# "-vsync", "cfr",
|
||||
# "-g", "50", "-keyint_min", "50",
|
||||
# "-r", "25",
|
||||
# "-bf", "0",
|
||||
# "-sc_threshold", "0",
|
||||
# "-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0:rc-lookahead=0",
|
||||
# "-pix_fmt", "yuv420p",
|
||||
|
||||
# # 音频处理 - 防Content ID 强化版（多维度修改音频指纹）
|
||||
# "-c:a", "aac", "-b:a", "192k", "-ar", "48000", "-ac", "2",
|
||||
# "-af",
|
||||
# "arnndn=m=./arnndn-models/cb.rnnn:mix=0.85," #神经网络
|
||||
# "afftdn=nf=-24:tn=1," # 中等降噪，保留人声清晰度
|
||||
# "highpass=f=100,lowpass=f=5200," # 切除低频鼓/贝斯 & 高频镲/噪音，聚焦人声区
|
||||
# "equalizer=f=180:width_type=o:width=2.2:g=-12," # 强衰减低频（背景音乐基础层）
|
||||
# "equalizer=f=350:width_type=o:width=1.8:g=-9," # 衰减低中频（常见旋律区）
|
||||
# "equalizer=f=750:width_type=o:width=1.6:g=-7," # 中频衰减，破坏音乐结构
|
||||
# "equalizer=f=2800:width_type=o:width=1.2:g=-5," # 高中频轻衰减，保持人声自然
|
||||
# "acompressor=threshold=-26dB:ratio=5.5:attack=7:release=90:makeup=6," # 强压缩，改变动态指纹
|
||||
# "asetrate=48000*1.05,atempo=1.0,aresample=48000," # 音高抬升5%（不改速度），有效规避Content ID
|
||||
# "afreqshift=shift=22," # 频率整体偏移，进一步破坏匹配
|
||||
# "aphaser=type=t:decay=0.35:delay=3.0:speed=0.5," # 正确参数：轻微相位扰动（triangular类型），防检测
|
||||
# # "anlmdn=s=0.00012:p=0.0008:r=0.002," # 轻量非线性噪门，清理残余背景音乐
|
||||
# "volume=1.08," # 补偿音量衰减
|
||||
# "aresample=async=1:first_pts=0:min_hard_comp=0.100000:first_pts=0", # 强制音视频同步
|
||||
|
||||
# # 推流优化（FLV适合YouTube RTMP/RTMPS）
|
||||
# "-flvflags", "no_duration_filesize",
|
||||
# "-f", "flv", youtube_rtmp
|
||||
# ]
|
||||
|
||||
|
||||
|
||||
# ffmpeg_command = [
|
||||
# "ffmpeg","-y","-loglevel","info","-nostdin","-re",
|
||||
# "-stats","-stats_period","1",
|
||||
|
||||
# # 输入稳定
|
||||
# "-rw_timeout","30000000",
|
||||
# "-reconnect","1","-reconnect_at_eof","1","-reconnect_streamed","1",
|
||||
# "-reconnect_delay_max","5",
|
||||
|
||||
# # 关键：删除低延迟杀手参数
|
||||
# "-fflags","+genpts+discardcorrupt",
|
||||
# "-err_detect","ignore_err",
|
||||
# "-max_delay","500000",
|
||||
# "-thread_queue_size","512",
|
||||
|
||||
# # 抖音源
|
||||
# "-headers", douyin_headers,
|
||||
# "-i", real_url,
|
||||
|
||||
# # 视频处理
|
||||
# "-vf","fps=25,scale=1080:1920:force_original_aspect_ratio=decrease,pad=1080:1920:(ow-iw)/2:(oh-ih)/2:black",
|
||||
|
||||
# # 编码
|
||||
# "-c:v","libx264",
|
||||
# "-preset","veryfast",
|
||||
# "-profile:v","high",
|
||||
# "-level","4.2",
|
||||
# "-b:v","4500k","-maxrate","4500k","-bufsize","9000k",
|
||||
# "-g","50","-keyint_min","50",
|
||||
# "-r","25",
|
||||
# "-pix_fmt","yuv420p",
|
||||
# "-bf","0",
|
||||
# "-sc_threshold","0",
|
||||
# "-x264-params","force-cfr=1:scenecut=0:open_gop=0",
|
||||
|
||||
# # 音频（强烈建议简化）
|
||||
# "-c:a","aac","-b:a","128k","-ar","44100","-ac","2",
|
||||
# "-af","aresample=async=1,volume=1.05",
|
||||
|
||||
# # 推流
|
||||
# "-flvflags","no_duration_filesize",
|
||||
# "-f","flv", youtube_rtmp
|
||||
# ]
|
||||
|
||||
|
||||
proc = None
|
||||
stderr_q = None
|
||||
reader_t = None
|
||||
@@ -518,55 +269,24 @@ def start_douyin_youtube_ffplay(
|
||||
stderr_q = queue.Queue()
|
||||
|
||||
print(f"[INFO][{datetime.datetime.now():%H:%M:%S}] 启动 YouTube 推流 → {stream_title}")
|
||||
_popen_kw = dict(
|
||||
stdin=subprocess.DEVNULL,
|
||||
stdout=subprocess.DEVNULL,
|
||||
stderr=subprocess.PIPE,
|
||||
text=True,
|
||||
bufsize=1,
|
||||
universal_newlines=True,
|
||||
)
|
||||
if _ffmpeg_cwd:
|
||||
_popen_kw["cwd"] = _ffmpeg_cwd
|
||||
proc = subprocess.Popen(ffmpeg_command, **_popen_kw)
|
||||
proc.last_out_ts = time.time()
|
||||
|
||||
proc = None
|
||||
if use_demucs:
|
||||
try:
|
||||
run_demucs_pipeline(
|
||||
real_url=real_url,
|
||||
youtube_rtmp=youtube_rtmp,
|
||||
douyin_headers=douyin_headers,
|
||||
nvenc_params=nvenc_params,
|
||||
end_keywords=END_KEYWORDS,
|
||||
stderr_queue_timeout=STDERR_QUEUE_TIMEOUT,
|
||||
no_frame_timeout=NO_FRAME_TIMEOUT,
|
||||
start_check_after=START_CHECK_AFTER,
|
||||
stale_output_seconds=STALE_OUTPUT_SECONDS,
|
||||
stream_ended_exception=StreamEnded,
|
||||
cleanup_proc_fn=cleanup_proc,
|
||||
stderr_reader_fn=_stderr_reader_thread,
|
||||
vocal_mix_ratio=demucs_vocal_mix,
|
||||
mix_source=demucs_mix_source,
|
||||
stats_interval_sec=stats_interval_sec,
|
||||
)
|
||||
except StreamEnded:
|
||||
raise
|
||||
except Exception as e:
|
||||
print(f"[WARN] Demucs 管道异常，回退原始推流: {e}")
|
||||
use_demucs = False
|
||||
|
||||
if not use_demucs:
|
||||
proc = subprocess.Popen(
|
||||
ffmpeg_command,
|
||||
stdin=subprocess.DEVNULL,
|
||||
stdout=subprocess.DEVNULL,
|
||||
stderr=subprocess.PIPE,
|
||||
text=True,
|
||||
bufsize=1,
|
||||
universal_newlines=True
|
||||
)
|
||||
proc.last_out_ts = time.time()
|
||||
|
||||
reader_t = threading.Thread(target=_stderr_reader_thread, args=(proc, stderr_q))
|
||||
reader_t.daemon = True
|
||||
reader_t.start()
|
||||
reader_t = threading.Thread(target=_stderr_reader_thread, args=(proc, stderr_q))
|
||||
reader_t.daemon = True
|
||||
reader_t.start()
|
||||
|
||||
start_time = last_frame_time = time.time()
|
||||
stream_stats = None
|
||||
if _STREAM_STATS_AVAILABLE:
|
||||
stream_stats = StreamStats(interval_sec=stats_interval_sec)
|
||||
stream_stats.start_periodic_printer()
|
||||
print(f"[INFO] 推流状态监控已启用，每 {stats_interval_sec}s 输出帧率/码率/网络等")
|
||||
|
||||
while True:
|
||||
try:
|
||||
@@ -584,22 +304,15 @@ def start_douyin_youtube_ffplay(
|
||||
break
|
||||
continue
|
||||
|
||||
line_str = line.strip() if isinstance(line, str) else line.decode("utf-8", errors="replace").strip()
|
||||
if line_str.startswith("__ERR__READER__"):
|
||||
print(f"[ERROR] stderr reader 异常: {line_str}")
|
||||
line = line.strip()
|
||||
if line.startswith("__ERR__READER__"):
|
||||
print(f"[ERROR] stderr reader 异常: {line}")
|
||||
continue
|
||||
|
||||
if line_str:
|
||||
if line:
|
||||
proc.last_out_ts = time.time()
|
||||
if stream_stats:
|
||||
stream_stats.parse_lag_event(line_str)
|
||||
if stream_stats.parse_ffmpeg_progress(line_str):
|
||||
pass # 进度行由周期摘要代替，不重复打印
|
||||
else:
|
||||
print(f"[FFmpeg] {line_str}")
|
||||
else:
|
||||
print(f"[FFmpeg] {line_str}")
|
||||
line_lower = line_str.lower()
|
||||
print(f"[FFmpeg] {line}")
|
||||
line_lower = line.lower()
|
||||
|
||||
if any(kw in line_lower for kw in END_KEYWORDS):
|
||||
print("[ERROR] 检测到主播真下播或被明确拒绝，停止推流")
|
||||
@@ -623,9 +336,6 @@ def start_douyin_youtube_ffplay(
|
||||
cleanup_proc(proc)
|
||||
retry_delay = min(retry_delay * 2, MAX_RETRY_DELAY)
|
||||
break
|
||||
finally:
|
||||
if stream_stats is not None:
|
||||
stream_stats.stop()
|
||||
|
||||
continue
|
||||
|
||||
|
||||
115
index.html
115
index.html
@@ -32,13 +32,10 @@ button.loading::after{content:" ⏳";animation:spin 1s linear infinite}
|
||||
<div class="container">
|
||||
<h1>
|
||||
进程:
|
||||
<select id="processSelect">
|
||||
<option value="tiktok">tiktok</option>
|
||||
<option value="youtube">youtube</option>
|
||||
<option value="obs">obs</option>
|
||||
</select>
|
||||
<select id="processSelect"></select>
|
||||
<span id="statusIndicator">⚪ 加载中...</span>
|
||||
</h1>
|
||||
<p id="processScriptNote" style="font-size:0.88em;margin:-12px 0 20px;opacity:0.88;font-family:ui-monospace,monospace"></p>
|
||||
|
||||
<!-- YouTube 专属配置（仅 youtube 时显示） -->
|
||||
<div id="youtubeOnlySection" style="display:none;">
|
||||
@@ -87,10 +84,55 @@ button.loading::after{content:" ⏳";animation:spin 1s linear infinite}
|
||||
<pre id="pm2Log">正在加载状态与日志...</pre>
|
||||
</div>
|
||||
<script>
|
||||
/** 进程列表仅来自 GET /process_monitor（web2.py 启动时扫描项目根目录自动识别）；PM2 名 = 脚本主文件名（无扩展名）。 */
|
||||
let PROCESS_MONITOR = [];
|
||||
|
||||
function pm2NameFromScript(script) {
|
||||
const base = String(script).split(/[/\\]/).pop() || '';
|
||||
const i = base.lastIndexOf('.');
|
||||
return i > 0 ? base.slice(0, i) : base;
|
||||
}
|
||||
|
||||
function isYoutubeScript(script) {
|
||||
return /\.py$/i.test(script) && pm2NameFromScript(script).startsWith('youtube');
|
||||
}
|
||||
function isTiktokScript(script) {
|
||||
return /\.py$/i.test(script) && pm2NameFromScript(script).startsWith('tiktok');
|
||||
}
|
||||
function isObsScript(script) {
|
||||
return pm2NameFromScript(script).startsWith('obs');
|
||||
}
|
||||
|
||||
async function loadProcessMonitor() {
|
||||
const res = await fetch('/process_monitor');
|
||||
if (!res.ok) throw new Error(String(res.status));
|
||||
const data = await res.json();
|
||||
const entries = data.entries || [];
|
||||
PROCESS_MONITOR = entries.map((e) => ({
|
||||
script: e.script,
|
||||
label: e.label || e.script,
|
||||
pm2: e.pm2 || pm2NameFromScript(e.script),
|
||||
}));
|
||||
}
|
||||
|
||||
function getEntryByPm2(name) {
|
||||
return PROCESS_MONITOR.find((e) => e.pm2 === name) || null;
|
||||
}
|
||||
|
||||
function fillProcessSelect() {
|
||||
processSelect.innerHTML = '';
|
||||
PROCESS_MONITOR.forEach((e) => {
|
||||
const opt = document.createElement('option');
|
||||
opt.value = e.pm2;
|
||||
opt.textContent = `${e.label}（${e.script}）`;
|
||||
processSelect.appendChild(opt);
|
||||
});
|
||||
}
|
||||
|
||||
const logEl = document.getElementById('pm2Log');
|
||||
const statusIndicator = document.getElementById('statusIndicator');
|
||||
const processSelect = document.getElementById('processSelect');
|
||||
let currentProcess = 'tiktok';
|
||||
let currentProcess = '';
|
||||
|
||||
// 各专属区域
|
||||
const youtubeOnlySection = document.getElementById('youtubeOnlySection');
|
||||
@@ -109,23 +151,32 @@ const loadUrlBtn = document.getElementById('loadUrlBtn');
|
||||
const saveUrlBtn = document.getElementById('saveUrlBtn');
|
||||
const urlStatus = document.getElementById('urlStatus');
|
||||
|
||||
function refreshProcessScriptNote() {
|
||||
const el = document.getElementById('processScriptNote');
|
||||
const ent = getEntryByPm2(currentProcess);
|
||||
el.textContent = ent ? `脚本: ${ent.script} · PM2 名: ${ent.pm2}` : '';
|
||||
}
|
||||
|
||||
processSelect.addEventListener('change', () => {
|
||||
currentProcess = processSelect.value;
|
||||
refreshProcessScriptNote();
|
||||
fetchStatus();
|
||||
updateSectionsVisibility();
|
||||
});
|
||||
|
||||
function updateSectionsVisibility() {
|
||||
youtubeOnlySection.style.display = currentProcess === 'youtube' ? 'block' : 'none';
|
||||
urlConfigSection.style.display = (currentProcess === 'youtube' || currentProcess === 'tiktok') ? 'block' : 'none';
|
||||
obsSection.style.display = currentProcess === 'obs' ? 'block' : 'none';
|
||||
|
||||
if (currentProcess === 'youtube') {
|
||||
loadYoutubeConfig();
|
||||
}
|
||||
if (currentProcess === 'youtube' || currentProcess === 'tiktok') {
|
||||
loadUrlConfig();
|
||||
}
|
||||
const ent = getEntryByPm2(currentProcess);
|
||||
const s = ent ? ent.script : '';
|
||||
const isYoutube = ent && isYoutubeScript(s);
|
||||
const isTiktok = ent && isTiktokScript(s);
|
||||
const isObs = ent && isObsScript(s);
|
||||
|
||||
youtubeOnlySection.style.display = isYoutube ? 'block' : 'none';
|
||||
urlConfigSection.style.display = (isYoutube || isTiktok) ? 'block' : 'none';
|
||||
obsSection.style.display = isObs ? 'block' : 'none';
|
||||
|
||||
if (isYoutube) loadYoutubeConfig();
|
||||
if (isYoutube || isTiktok) loadUrlConfig();
|
||||
}
|
||||
|
||||
// textarea 高度自适应
|
||||
@@ -215,7 +266,9 @@ async function pm2Action(action){
|
||||
updateStatus(data.process_status);
|
||||
let logText = `【PM2 全状态表格】（${new Date().toLocaleTimeString()}）\n${data.raw_status}\n\n`;
|
||||
if(data.process_status === 'not_found'){
|
||||
logText += `【提示】进程 "${currentProcess}" 未注册到 PM2（可能被 pm2 delete 删除）\n`;
|
||||
const ent = getEntryByPm2(currentProcess);
|
||||
const hint = ent ? `${ent.script}（PM2 名: ${ent.pm2}）` : currentProcess;
|
||||
logText += `【提示】未在 PM2 中找到: ${hint}\n`;
|
||||
}else{
|
||||
logText += `【实时输出日志】`;
|
||||
if(data.recent_log.includes('不存在') || data.recent_log.includes('无日志路径')){
|
||||
@@ -233,7 +286,9 @@ async function pm2Action(action){
|
||||
logEl.textContent = logText;
|
||||
scrollLog();
|
||||
}else{
|
||||
logEl.textContent = `操作: ${action} ${currentProcess}\n${data.output || '成功'}\n\n正在刷新状态...`;
|
||||
const ent = getEntryByPm2(currentProcess);
|
||||
const who = ent ? `${ent.script} (${ent.pm2})` : currentProcess;
|
||||
logEl.textContent = `操作: ${action} → ${who}\n${data.output || '成功'}\n\n正在刷新状态...`;
|
||||
scrollLog();
|
||||
setTimeout(fetchStatus, 1500);
|
||||
}
|
||||
@@ -256,10 +311,26 @@ document.getElementById('pm2Buttons').addEventListener('click', e=>{
|
||||
if(action && action !== 'status') pm2Action(action);
|
||||
});
|
||||
|
||||
// 自动刷新 + 初始
|
||||
setInterval(fetchStatus, 1000);
|
||||
fetchStatus();
|
||||
updateSectionsVisibility();
|
||||
(async function boot() {
|
||||
try {
|
||||
await loadProcessMonitor();
|
||||
} catch (e) {
|
||||
logEl.textContent = '无法加载 /process_monitor（请用本服务打开的页面访问，或检查 web2 是否已启动）\n' + (e && e.message ? e.message : '');
|
||||
statusIndicator.textContent = '❌ 未连接';
|
||||
return;
|
||||
}
|
||||
if (!PROCESS_MONITOR.length) {
|
||||
logEl.textContent = '未发现任何入口脚本（项目根应有 tiktok*.py / youtube*.py / obs*.sh，且 Web 为当前 web*.py）';
|
||||
return;
|
||||
}
|
||||
fillProcessSelect();
|
||||
currentProcess = PROCESS_MONITOR[0].pm2;
|
||||
processSelect.value = currentProcess;
|
||||
refreshProcessScriptNote();
|
||||
setInterval(fetchStatus, 1000);
|
||||
fetchStatus();
|
||||
updateSectionsVisibility();
|
||||
})();
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
|
||||
14
index.html.1
14
index.html.1
@@ -1,14 +0,0 @@
|
||||
<!doctype html><html itemscope="" itemtype="http://schema.org/WebPage" lang="en"><head><meta content="Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for." name="description"><meta content="noodp, " name="robots"><meta content="text/html; charset=UTF-8" http-equiv="Content-Type"><meta content="/images/branding/googleg/1x/googleg_standard_color_128dp.png" itemprop="image"><title>Google</title><script nonce="mkn-uSdWx2SoIvEJXJWf7Q">(function(){var _g={kEI:'gbObaeXAG-Gy5NoPmeGiyAg',kEXPI:'0,1304203,2935842,14111,64702,6398,354503,5532962,16,36811390,25228681,123988,28395,11943,53220,39775,61250,14067,23259,37800,28333,79315,7707,7,33385,4719,24374,1,2884,3086,16757,46340,9920,10754,11886,6436,4952,4791,2646,6292,12404,5550,14505,1383,1,2,1515,3355,196,5814,2,4205,1,16100,2,873,2,22,2208,5108,3008,24,771,4074,4,5393,18686,8466,5337,310,535,845,1201,2,11,2,1560,3,5189,1,13,738,1009,2,1746,4,4878,5773,4542,4,2243,240,297,1,1117,389,4,2647,5,2698,2870,298,9253,1275,7,1784,1050,2,1914,5,10456,2,5724,9,602,59,36,1554,4,2570,3341,932,3066,1,2,1402,3,1117,242,2,2356,2576,49,1,8,216,441,158,2,1645,191,4,1928,4,1634,544,4,1568,1032,1,1399,187,259,1846,5,259,5,197,1921,445,19,1421,119,4,2364,2363,5,39,633,1937,4,57,4,3784,4,76,1970,4,265,106,5,3,971,4,966,5,1125,1,2,2,815,3,2932,4,32,4,130,717,1856,4,40,4,2110,4,134,304,323,1,576,1776,1864,42,5,2,479,704,4,14,3,1,449,4,730,5,75,4,1918,1,21,4,465,429,537,1563,1,1090,2,265,702,4905,1788,14,507,823,747,4,331,4,959,452,57,258,615,80,7,2245,4,281,264,341,221,1,2976,508,339,3430,503,3,1412,1354,4,12,33,2093,4,945,16,4,612,1,20998529,1717,7635,5,2992,4,2960,3,8491,2,1562,3,2687,3,9181,536,2,2461,1194,3,746,6,918,231,3,1369,1494,2715,1,6494629,4214,2,3639,565,745,38,517,541,84,108428,25,36,10,3516226,209655,562,143,12493584,256605,48968,4054456,476,441,42,5,116,590,5,1023,1671,844,1,148,3,6,163,101,343,4,65,388,2,707,260,44,4,152,4,488,62,219,3,2,2,2,550,4,885,1050,2,50,641,5,429,6,2800,5,138,1,863,130,45,2,11,2,16,361,218,1148,1,2,642,214,1485,417,712,2695,1043,281,5,330,1255,292,114,289,54,161,5,142,4,587,412,322,525,1,361,503,213,249,99,472,165,7,51,90,174,436,472,3,289,379,458,583,331,601,587,556,100,949,821,118,4,177,37,7,12,3,6,25,1006,3,2,2,2,67,134,727,4,283,321,70,212,125,4,4,3,2,1,2,3,2,2,1,2,2,2,3,1,3,2,1,3,2,1,3,1,2,3,1,2,2,2,3,2,1,3,1,2,3,2,2,2,2,1,3,1,3,2,1,2,10,2,2,3,2,2,10,1,2,3,1,2,10,2,3,2,1,3,9,2,3,1,3,2,1,2,2,2,3,1,2,3,2,2,1,3,1,3,2,1,2,2,2,2,2,3,2,2,1,2,3,2,1,2,2,2,3,1,3,1,3,1,2,2,10,2,3,1,3,1,11,2,2,1,2,2,10,2,3,2,2,1,183,94,60,120,149,39,317,3,2,2,2,744,296,177,5,22,414,377,24,216,1579,8,293,133,136,134,83,118,2,3,2,2,2,956,1,2,785,3,2,2,2,348,295,4,106,229,180,5,62,2,878,573,260,185,936,640,1027,638,713,94,18,3,2,2,2,4,308,593,3,2,2,2,720,519,6,1,4357,427,3,1,370,435,364,71,61,442,901,4',kBL:'eaQ3',kOPI:89978449};(function(){var a;((a=window.google)==null?0:a.stvsc)?google.kEI=_g.kEI:window.google=_g;}).call(this);})();(function(){google.sn='webhp';google.kHL='en';google.rdn=true;})();(function(){
|
||||
var g=this||self;function k(){return window.google&&window.google.kOPI||null};var l,m=[];function n(a){for(var b;a&&(!a.getAttribute||!(b=a.getAttribute("eid")));)a=a.parentNode;return b||l}function p(a){for(var b=null;a&&(!a.getAttribute||!(b=a.getAttribute("leid")));)a=a.parentNode;return b}function q(a){/^http:/i.test(a)&&window.location.protocol==="https:"&&(google.ml&&google.ml(Error("a"),!1,{src:a,glmm:1}),a="");return a}
|
||||
function r(a,b,d,c,h){var e="";b.search("&ei=")===-1&&(e="&ei="+n(c),b.search("&lei=")===-1&&(c=p(c))&&(e+="&lei="+c));var f=b.search("&cshid=")===-1&&a!=="slh";c="&zx="+Date.now().toString();g._cshid&&f&&(c+="&cshid="+g._cshid);(d=d())&&(c+="&opi="+d);return"/"+(h||"gen_204")+"?atyp=i&ct="+String(a)+"&cad="+(b+e+c)};l=google.kEI;google.getEI=n;google.getLEI=p;google.ml=function(){return null};google.log=function(a,b,d,c,h,e){e=e===void 0?k:e;d||(d=r(a,b,e,c,h));if(d=q(d)){a=new Image;var f=m.length;m[f]=a;a.onerror=a.onload=a.onabort=function(){delete m[f]};a.src=d}};google.logUrl=function(a,b){b=b===void 0?k:b;return r("",a,b)};}).call(this);(function(){google.y={};google.sy={};function e(a,b,d){if(a)var c=a.id;else{do c=Math.random();while(d[c])}d[c]=[a,b]}var f;(f=google).x||(f.x=function(a,b){e(a,b,google.y)});var g;(g=google).sx||(g.sx=function(a,b){e(a,b,google.sy)});google.bx=!1;var h;(h=google).lx||(h.lx=function(){});var k=[],l;(l=google).fce||(l.fce=function(a,b,d,c){k.push([a,b,d,c])});google.qce=k;google.adl=[];}).call(this);google.f={};(function(){
|
||||
document.documentElement.addEventListener("submit",function(b){var a;if(a=b.target){var c=a.getAttribute("data-submitfalse");a=c==="1"||c==="q"&&!a.elements.q.value?!0:!1}else a=!1;a&&(b.preventDefault(),b.stopPropagation())},!0);document.documentElement.addEventListener("click",function(b){var a;a:{for(a=b.target;a&&a!==document.documentElement;a=a.parentElement)if(a.tagName==="A"){a=a.getAttribute("data-nohref")==="1";break a}a=!1}a&&b.preventDefault()},!0);}).call(this);</script><style>#gbar,#guser{font-size:13px;padding-top:1px !important;}#gbar{height:22px}#guser{padding-bottom:7px !important;text-align:right}.gbh,.gbd{border-top:1px solid #c9d7f1;font-size:1px}.gbh{height:0;position:absolute;top:24px;width:100%}@media all{.gb1{height:22px;margin-right:.5em;vertical-align:top}#gbar{float:left}}a.gb1,a.gb4{text-decoration:underline !important}a.gb1,a.gb4{color:#00c !important}.gbi .gb4{color:#dd8e27 !important}.gbf .gb4{color:#900 !important}
|
||||
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215
indexOrigin.html
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indexOrigin.html
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<!--
|
||||
Project: DouyinLiveRecorder
|
||||
Author: Hmily
|
||||
Build: 2023.08.14 - 20:24:05
|
||||
GitHub Project URL: https://github.com/ihmily/DouyinLiveRecorder
|
||||
-->
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<meta name="referrer" content="never">
|
||||
<title>M3U8 视频播放器</title>
|
||||
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||||
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
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||||
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||||
|
||||
<style>
|
||||
body {
|
||||
font-family: 'Roboto', Arial, sans-serif;
|
||||
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|
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
|
||||
|
||||
.container {
|
||||
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|
||||
width: 80%;
|
||||
padding: 20px;
|
||||
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|
||||
border-radius: 10px;
|
||||
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|
||||
}
|
||||
|
||||
#videoPlayer {
|
||||
width: 100%;
|
||||
height: 0;
|
||||
padding-bottom: 56.25%;
|
||||
position: relative;
|
||||
background-color: #000;
|
||||
border-radius: 5px;
|
||||
box-shadow: 0px 0px 10px 0px rgba(0,0,0,0.15);
|
||||
display: none;
|
||||
}
|
||||
|
||||
video {
|
||||
position: absolute;
|
||||
top: 0;
|
||||
left: 0;
|
||||
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|
||||
height: 100%;
|
||||
}
|
||||
|
||||
#videoUrlInput{
|
||||
display: block;
|
||||
width: 100%;
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
box-sizing: border-box;
|
||||
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|
||||
|
||||
#playButton {
|
||||
display: block;
|
||||
width: 100%;
|
||||
padding: 10px;
|
||||
background-color: #283593;
|
||||
color: white;
|
||||
font-weight: bold;
|
||||
border-radius: 5px;
|
||||
border: none;
|
||||
cursor: pointer;
|
||||
transition: background-color 0.3s;
|
||||
margin: 0 0 10px 0;
|
||||
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|
||||
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|
||||
|
||||
#playButton:hover {
|
||||
background-color: #1a237e;
|
||||
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|
||||
|
||||
.description {
|
||||
margin-top: 20px;
|
||||
line-height: 1.4;
|
||||
font-size: 14px;
|
||||
text-align: left;
|
||||
background-color: #f8f9fa;
|
||||
padding: 15px;
|
||||
border-radius: 5px;
|
||||
|
||||
box-shadow: 0px 0px 5px 0px rgba(0,0,0,0.15);
|
||||
display: block;
|
||||
}
|
||||
.footer {
|
||||
margin-top: 30px;
|
||||
text-align: center;
|
||||
font-size: 14px;
|
||||
color: white;
|
||||
}
|
||||
|
||||
p{
|
||||
color: black;
|
||||
}
|
||||
|
||||
a.no_style {
|
||||
color: inherit;
|
||||
text-decoration: none;
|
||||
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|
||||
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|
||||
.container {
|
||||
width: 90%;
|
||||
border-radius: 0;
|
||||
box-shadow: none;
|
||||
margin-top:30px;
|
||||
}
|
||||
body {
|
||||
overflow-y: scroll;
|
||||
}
|
||||
#videoUrlInput{
|
||||
|
||||
margin-top: 30px;
|
||||
margin-bottom: 10px;
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
<div class="container">
|
||||
<input type="text" id="videoUrlInput" placeholder="请输入 M3U8或者FLV 视频链接">
|
||||
<button id="playButton">播放视频</button>
|
||||
<div id="videoPlayer">
|
||||
<video controls></video>
|
||||
</div>
|
||||
<div class="description">
|
||||
<p><strong>说明</strong><p>
|
||||
<p>M3U8文件格式</p>
|
||||
<p>M3U8文件是采用UTF-8编码格式的M3U文件。M3U文件本身是一个纯文本索引文件，其核心功能是记录多媒体文件链接。当用户打开此类文件时，播放软件会根据索引查找相应的音视频文件网络地址，然后进行在线播放。</p>
|
||||
<p>M3U最初设计用于播放音频文件，例如MP3。但随着时间推移，更多的播放器和软件开始使用M3U来播放视频文件列表，同时也支持在线流媒体音频源的指定。目前，许多播放器和软件都兼容M3U文件格式。</p>
|
||||
<p>FLV文件格式（Flash Video Format）是Adobe公司开发的一种专门用于网页视频播放的文件格式。FLV格式的视频文件通常用于播放短视频和在线流媒体，可以嵌入到网页中供用户观看。FLV视频通常由Adobe Flash Player播放器播放，而其他第三方播放器也支持此格式。</p>
|
||||
</div>
|
||||
<div class="footer">
|
||||
<p>© 2023 <a href='https://github.com/ihmily/DouyinLiveRecorder' class="no_style" target="_blank">Hmily</a>. All rights reserved.</p>
|
||||
</div>
|
||||
<script>
|
||||
function httpToHttps(url) {
|
||||
if (url.startsWith("http://")) {
|
||||
return url.replace("http://", "https://");
|
||||
}
|
||||
return url;
|
||||
}
|
||||
function playVideo() {
|
||||
let videoUrl = document.getElementById('videoUrlInput').value;
|
||||
const video = document.querySelector('#videoPlayer video');
|
||||
const description = document.querySelector('.description');
|
||||
if (videoUrl == ''){
|
||||
alert('请输入视频链接');
|
||||
return;
|
||||
}
|
||||
videoUrl = httpToHttps(videoUrl);
|
||||
if (videoUrl.includes('.m3u8')) {
|
||||
videoPlayer.style.display = 'block';
|
||||
description.style.display = 'none';
|
||||
if (Hls.isSupported()) {
|
||||
const hls = new Hls();
|
||||
hls.attachMedia(video);
|
||||
hls.on(Hls.Events.MEDIA_ATTACHED, () => {
|
||||
hls.loadSource(videoUrl);
|
||||
});
|
||||
} else if (video.canPlayType('application/vnd.apple.mpegurl')) {
|
||||
video.src = videoUrl;
|
||||
} else {
|
||||
alert('M3U8 格式不受您的浏览器支持。');
|
||||
console.error('M3U8 格式不受您的浏览器支持。');
|
||||
return;
|
||||
}
|
||||
} else if (videoUrl.includes('.flv')) {
|
||||
if (flvjs.isSupported()) {
|
||||
const flvPlayer = flvjs.createPlayer({
|
||||
type: 'flv',
|
||||
url: videoUrl
|
||||
});
|
||||
flvPlayer.attachMediaElement(video);
|
||||
flvPlayer.load();
|
||||
flvPlayer.play();
|
||||
} else {
|
||||
alert('FLV 格式不受您的浏览器支持。');
|
||||
console.error('FLV 格式不受您的浏览器支持。');
|
||||
return;
|
||||
}
|
||||
|
||||
videoPlayer.style.display = 'block';
|
||||
description.style.display = 'none';
|
||||
} else {
|
||||
console.error('不支持播放该视频格式。');
|
||||
alert('不支持播放该视频格式。');
|
||||
}
|
||||
}
|
||||
|
||||
document.getElementById('playButton').addEventListener('click', playVideo);
|
||||
</script>
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@@ -1,12 +0,0 @@
|
||||
# YouTube 转播 + Demucs 人声分离（防版权）所需依赖
|
||||
# 在 requirements.txt 基础上额外安装：
|
||||
# pip install -r requirements.txt -r requirements-youtube.txt
|
||||
|
||||
# CPU 版本
|
||||
demucs>=4.0.0
|
||||
torch>=2.0.0
|
||||
torchaudio>=2.0.0
|
||||
|
||||
# 若使用 NVIDIA GPU，请安装 CUDA 版 PyTorch 后覆盖：
|
||||
# pip uninstall torch torchaudio
|
||||
# pip install torch torchaudio --index-url https://download.pytorch.org/whl/cu118
|
||||
@@ -4,11 +4,4 @@ pycryptodome>=3.20.0
|
||||
distro>=1.9.0
|
||||
tqdm>=4.67.1
|
||||
httpx[http2]>=0.28.1
|
||||
PyExecJS>=1.5.1
|
||||
|
||||
# 可选：YouTube 转播时 Demucs 人声分离（防版权识别）
|
||||
# pip install demucs torch torchaudio
|
||||
# GPU 版本: pip install torch torchaudio --index-url https://download.pytorch.org/whl/cu118
|
||||
# demucs>=4.0.0
|
||||
# torch>=2.0.0
|
||||
# torchaudio>=2.0.0
|
||||
PyExecJS>=1.5.1
|
||||
174
stream_stats.py
174
stream_stats.py
@@ -1,174 +0,0 @@
|
||||
# stream_stats.py
|
||||
# 推流状态监控：解析 FFmpeg 输出，统计帧率、码率、网络等，便于调试
|
||||
"""
|
||||
推流状态监控模块
|
||||
解析 FFmpeg stderr 输出，提取：帧率、码率、编码速度、源延迟事件
|
||||
可选：Linux 网络上下行速度
|
||||
"""
|
||||
import re
|
||||
import time
|
||||
import threading
|
||||
import platform
|
||||
|
||||
|
||||
class StreamStats:
|
||||
"""推流状态统计，线程安全"""
|
||||
|
||||
def __init__(self, interval_sec=10):
|
||||
self.interval_sec = interval_sec
|
||||
self._lock = threading.Lock()
|
||||
self.frame = 0
|
||||
self.fps = 0.0
|
||||
self.bitrate_kbps = 0.0
|
||||
self.speed = 0.0
|
||||
self.encode_time = ""
|
||||
self.size_kb = 0
|
||||
self.quality_q = 0.0
|
||||
self.lag_events = 0 # "Resumed reading" 次数，表示源端抖动
|
||||
self.last_update_ts = 0.0
|
||||
self.start_ts = time.time()
|
||||
self._stop = threading.Event()
|
||||
self._printer_thread = None
|
||||
# 网络统计 (Linux)
|
||||
self._net_last = None
|
||||
self._net_last_ts = 0
|
||||
self.rx_mbps = 0.0
|
||||
self.tx_mbps = 0.0
|
||||
|
||||
def parse_ffmpeg_progress(self, line: str) -> bool:
|
||||
"""解析 FFmpeg 进度行，返回是否成功解析"""
|
||||
# frame= 12345 fps= 30 q=28.0 size= 12345kB time=00:06:51.50 bitrate=2460.0kbits/s speed=1.00x
|
||||
m = re.search(r'frame=\s*(\d+)', line, re.I)
|
||||
if not m:
|
||||
return False
|
||||
with self._lock:
|
||||
try:
|
||||
self.frame = int(m.group(1))
|
||||
except (ValueError, IndexError):
|
||||
pass
|
||||
m2 = re.search(r'fps=\s*([\d.]+)', line, re.I)
|
||||
if m2:
|
||||
self.fps = float(m2.group(1))
|
||||
m3 = re.search(r'bitrate=\s*([\d.]+)\s*kbits/s', line, re.I)
|
||||
if m3:
|
||||
self.bitrate_kbps = float(m3.group(1))
|
||||
m4 = re.search(r'speed=\s*([\d.]+)x', line, re.I)
|
||||
if m4:
|
||||
self.speed = float(m4.group(1))
|
||||
m5 = re.search(r'time=([^\s]+)', line, re.I)
|
||||
if m5:
|
||||
self.encode_time = m5.group(1).strip()
|
||||
m6 = re.search(r'size=\s*(\d+)\s*kB', line, re.I)
|
||||
if m6:
|
||||
self.size_kb = int(m6.group(1))
|
||||
m7 = re.search(r'q=([\d.]+)', line, re.I)
|
||||
if m7:
|
||||
self.quality_q = float(m7.group(1))
|
||||
self.last_update_ts = time.time()
|
||||
return True
|
||||
|
||||
def parse_lag_event(self, line: str) -> bool:
|
||||
"""检测源端延迟事件 Resumed reading at pts"""
|
||||
if "resumed reading at pts" in line.lower():
|
||||
with self._lock:
|
||||
self.lag_events += 1
|
||||
return True
|
||||
return False
|
||||
|
||||
def _read_net_bytes(self):
|
||||
"""读取 /proc/net/dev 总字节数 (Linux)"""
|
||||
try:
|
||||
with open("/proc/net/dev", "r") as f:
|
||||
content = f.read()
|
||||
except Exception:
|
||||
return None, None
|
||||
rx_total = tx_total = 0
|
||||
for line in content.split("\n")[2:]: # 跳过表头
|
||||
line = line.strip()
|
||||
if not line or ":" not in line:
|
||||
continue
|
||||
parts = line.split()
|
||||
if len(parts) >= 10:
|
||||
try:
|
||||
rx_total += int(parts[1])
|
||||
tx_total += int(parts[9])
|
||||
except (ValueError, IndexError):
|
||||
pass
|
||||
return rx_total, tx_total
|
||||
|
||||
def update_network(self):
|
||||
"""更新网络速度 (Linux)"""
|
||||
if platform.system() != "Linux":
|
||||
return
|
||||
rx, tx = self._read_net_bytes()
|
||||
if rx is None:
|
||||
return
|
||||
now = time.time()
|
||||
with self._lock:
|
||||
if self._net_last is not None:
|
||||
dt = now - self._net_last_ts
|
||||
if dt > 0.5: # 至少 0.5 秒间隔
|
||||
drx = (rx - self._net_last[0]) / (1024 * 1024) / dt
|
||||
dtx = (tx - self._net_last[1]) / (1024 * 1024) / dt
|
||||
self.rx_mbps = round(drx, 2)
|
||||
self.tx_mbps = round(dtx, 2)
|
||||
self._net_last = (rx, tx)
|
||||
self._net_last_ts = now
|
||||
|
||||
def format_summary(self) -> str:
|
||||
"""生成状态摘要字符串"""
|
||||
self.update_network()
|
||||
with self._lock:
|
||||
elapsed = time.time() - self.start_ts
|
||||
parts = [
|
||||
f"推流时长 {int(elapsed)}s",
|
||||
f"帧率 {self.fps:.1f} fps",
|
||||
f"已推帧 {self.frame}",
|
||||
f"码率 {self.bitrate_kbps:.0f} kbps",
|
||||
f"编码速度 {self.speed:.2f}x",
|
||||
]
|
||||
if self.lag_events > 0:
|
||||
parts.append(f"源抖动 {self.lag_events} 次")
|
||||
if platform.system() == "Linux":
|
||||
parts.append(f"下行 {self.rx_mbps:.2f} MB/s 上行 {self.tx_mbps:.2f} MB/s")
|
||||
return " | ".join(parts)
|
||||
|
||||
def start_periodic_printer(self):
|
||||
"""启动周期性打印线程"""
|
||||
|
||||
def _run():
|
||||
while not self._stop.is_set():
|
||||
self._stop.wait(self.interval_sec)
|
||||
if self._stop.is_set():
|
||||
break
|
||||
if self.last_update_ts > 0 and (time.time() - self.last_update_ts) < 60:
|
||||
print(f"[推流状态] {self.format_summary()}")
|
||||
|
||||
self._printer_thread = threading.Thread(target=_run, daemon=True)
|
||||
self._printer_thread.start()
|
||||
|
||||
def stop(self):
|
||||
"""停止周期性打印"""
|
||||
self._stop.set()
|
||||
|
||||
|
||||
def parse_and_maybe_print(line: str, stats: StreamStats, prefix: str = "[FFmpeg]", verbose=True) -> bool:
|
||||
"""
|
||||
解析一行 FFmpeg 输出，更新 stats。
|
||||
若为进度行则更新不打印；若为 lag 事件则更新并可选打印；其他行原样打印。
|
||||
verbose: 是否打印非进度行
|
||||
"""
|
||||
line_stripped = line.strip() if isinstance(line, str) else line.decode("utf-8", errors="replace").strip()
|
||||
if not line_stripped:
|
||||
return False
|
||||
# 进度行：更新 stats，不重复打印（由周期摘要代替）
|
||||
if stats.parse_ffmpeg_progress(line_stripped):
|
||||
return True
|
||||
# 源端延迟事件
|
||||
if stats.parse_lag_event(line_stripped):
|
||||
if verbose:
|
||||
print(f"{prefix} {line_stripped}")
|
||||
return True
|
||||
if verbose:
|
||||
print(f"{prefix} {line_stripped}")
|
||||
return False
|
||||
116
web.py → web2.py
116
web.py → web2.py
@@ -3,6 +3,7 @@ from fastapi.responses import FileResponse, JSONResponse
|
||||
from pathlib import Path
|
||||
import asyncio
|
||||
import re
|
||||
from typing import Optional
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
|
||||
app = FastAPI(title="多进程录制控制台")
|
||||
@@ -14,8 +15,79 @@ DEFAULT_LOG_DIR = BASE_DIR / ".pm2" / "logs"
|
||||
|
||||
MAX_LOG_LINES = 300
|
||||
|
||||
# 支持的进程列表
|
||||
VALID_PROCESSES = {"tiktok", "youtube", "obs"}
|
||||
|
||||
def _label_short(prefix: str) -> str:
|
||||
return {"tiktok": "TikTok", "youtube": "YouTube", "obs": "OBS", "web": "Web 控制台"}.get(prefix, prefix)
|
||||
|
||||
|
||||
def discover_script_entries() -> tuple:
|
||||
"""扫描项目根目录自动识别入口：tiktok*.py、youtube*.py、obs*.sh，以及当前本文件（Web 控制台）。PM2 名 = 主文件名（无扩展名）。"""
|
||||
base = BASE_DIR
|
||||
web_path = Path(__file__).resolve()
|
||||
entries: list[dict] = []
|
||||
|
||||
for path in sorted(base.glob("tiktok*.py")):
|
||||
if path.is_file() and path.resolve() != web_path:
|
||||
entries.append({"script": path.name, "label": _label_short("tiktok")})
|
||||
|
||||
for path in sorted(base.glob("youtube*.py")):
|
||||
if path.is_file() and path.resolve() != web_path:
|
||||
entries.append({"script": path.name, "label": _label_short("youtube")})
|
||||
|
||||
for path in sorted(base.glob("obs*.sh")):
|
||||
if path.is_file():
|
||||
entries.append({"script": path.name, "label": _label_short("obs")})
|
||||
|
||||
entries.append({"script": web_path.name, "label": _label_short("web")})
|
||||
|
||||
return tuple(entries)
|
||||
|
||||
|
||||
SCRIPT_ENTRIES = discover_script_entries()
|
||||
|
||||
|
||||
def pm2_name_from_script(script: str) -> str:
|
||||
return Path(script).stem
|
||||
|
||||
|
||||
def _stem(script: str) -> str:
|
||||
return Path(script).stem
|
||||
|
||||
|
||||
def is_youtube_script(script: str) -> bool:
|
||||
return script.endswith(".py") and _stem(script).startswith("youtube")
|
||||
|
||||
|
||||
def is_tiktok_script(script: str) -> bool:
|
||||
return script.endswith(".py") and _stem(script).startswith("tiktok")
|
||||
|
||||
|
||||
def _build_process_monitor():
|
||||
return tuple(
|
||||
{
|
||||
"pm2": pm2_name_from_script(e["script"]),
|
||||
"script": e["script"],
|
||||
"label": e["label"],
|
||||
}
|
||||
for e in SCRIPT_ENTRIES
|
||||
)
|
||||
|
||||
|
||||
PROCESS_MONITOR = _build_process_monitor()
|
||||
VALID_PROCESSES = frozenset(p["pm2"] for p in PROCESS_MONITOR)
|
||||
|
||||
URL_CONFIG_PM2 = frozenset(
|
||||
pm2_name_from_script(e["script"])
|
||||
for e in SCRIPT_ENTRIES
|
||||
if is_tiktok_script(e["script"]) or is_youtube_script(e["script"])
|
||||
)
|
||||
|
||||
|
||||
def script_for_pm2(pm2: str) -> Optional[str]:
|
||||
for p in PROCESS_MONITOR:
|
||||
if p["pm2"] == pm2:
|
||||
return p["script"]
|
||||
return None
|
||||
|
||||
# CORS
|
||||
app.add_middleware(
|
||||
@@ -125,8 +197,9 @@ async def get_process_info(process: str) -> dict:
|
||||
# ---------------- 配置路由（youtube.ini，仅 youtube） ----------------
|
||||
@app.get("/get_config")
|
||||
async def get_config(process: str = Query(..., description="进程名")):
|
||||
if process != "youtube":
|
||||
return JSONResponse({"error": "仅 youtube 支持此配置编辑"}, status_code=400)
|
||||
sc = script_for_pm2(process)
|
||||
if not sc or not is_youtube_script(sc):
|
||||
return JSONResponse({"error": "仅 youtube*.py 对应进程支持 youtube.ini 编辑"}, status_code=400)
|
||||
|
||||
config_file = CONFIG_DIR / "youtube.ini"
|
||||
if not config_file.exists():
|
||||
@@ -139,8 +212,9 @@ async def get_config(process: str = Query(..., description="进程名")):
|
||||
|
||||
@app.post("/save_config")
|
||||
async def save_config(request: Request, process: str = Query(..., description="进程名")):
|
||||
if process != "youtube":
|
||||
return JSONResponse({"error": "仅 youtube 支持此配置编辑"}, status_code=400)
|
||||
sc = script_for_pm2(process)
|
||||
if not sc or not is_youtube_script(sc):
|
||||
return JSONResponse({"error": "仅 youtube*.py 对应进程支持 youtube.ini 编辑"}, status_code=400)
|
||||
|
||||
try:
|
||||
data = await request.json()
|
||||
@@ -159,8 +233,8 @@ async def save_config(request: Request, process: str = Query(..., description="
|
||||
# ---------------- 配置路由（URL_config.ini，youtube 和 tiktok 共享） ----------------
|
||||
@app.get("/get_url_config")
|
||||
async def get_url_config(process: str = Query(..., description="进程名")):
|
||||
if process not in ["youtube", "tiktok"]:
|
||||
return JSONResponse({"error": "仅 youtube 和 tiktok 支持此配置编辑"}, status_code=400)
|
||||
if process not in URL_CONFIG_PM2:
|
||||
return JSONResponse({"error": "仅 tiktok*.py / youtube*.py 对应进程支持 URL 配置编辑"}, status_code=400)
|
||||
|
||||
config_file = CONFIG_DIR / "URL_config.ini"
|
||||
if not config_file.exists():
|
||||
@@ -173,8 +247,8 @@ async def get_url_config(process: str = Query(..., description="进程名")):
|
||||
|
||||
@app.post("/save_url_config")
|
||||
async def save_url_config(request: Request, process: str = Query(..., description="进程名")):
|
||||
if process not in ["youtube", "tiktok"]:
|
||||
return JSONResponse({"error": "仅 youtube 和 tiktok 支持此配置编辑"}, status_code=400)
|
||||
if process not in URL_CONFIG_PM2:
|
||||
return JSONResponse({"error": "仅 tiktok*.py / youtube*.py 对应进程支持 URL 配置编辑"}, status_code=400)
|
||||
|
||||
try:
|
||||
data = await request.json()
|
||||
@@ -210,14 +284,15 @@ async def stop(process: str = Query(..., description="进程名")):
|
||||
# 第二步：等待 PM2 信号传播（通常 1~3 秒）
|
||||
await asyncio.sleep(2.0)
|
||||
|
||||
# 第三步：主动查找并杀死 ffmpeg
|
||||
await force_kill_ffmpeg(process)
|
||||
# 第三步：录制类进程才强杀 ffmpeg（web* 控制台不杀 ffmpeg）
|
||||
if not process.startswith("web"):
|
||||
await force_kill_ffmpeg(process)
|
||||
|
||||
# 第四步：再等一小会儿，确认
|
||||
await asyncio.sleep(1.0)
|
||||
|
||||
return JSONResponse({
|
||||
"message": "已执行 stop + 强杀 ffmpeg",
|
||||
"message": "已执行 stop" + ("" if process.startswith("web") else " + 强杀 ffmpeg"),
|
||||
"pm2_output": pm2_output,
|
||||
"note": "如果仍有残留，可多次点击停止或检查 pm2 logs"
|
||||
})
|
||||
@@ -228,8 +303,8 @@ async def restart(process: str = Query(..., description="进程名")):
|
||||
if process not in VALID_PROCESSES:
|
||||
return JSONResponse({"output": f"无效进程名: {process}"}, status_code=400)
|
||||
output = await run_pm2(f"restart {process}")
|
||||
# 重启后也建议清理一次残留（视情况可选）
|
||||
await force_kill_ffmpeg(process)
|
||||
if not process.startswith("web"):
|
||||
await force_kill_ffmpeg(process)
|
||||
return JSONResponse({"output": output})
|
||||
|
||||
|
||||
@@ -261,6 +336,17 @@ async def status(process: str = Query(..., description="进程名")):
|
||||
})
|
||||
|
||||
|
||||
# ---------------- 进程列表（供前端同步，由 discover_script_entries 自动扫描） ----------------
|
||||
@app.get("/process_monitor")
|
||||
async def process_monitor():
|
||||
return {
|
||||
"entries": [
|
||||
{"pm2": p["pm2"], "script": p["script"], "label": p["label"]}
|
||||
for p in PROCESS_MONITOR
|
||||
]
|
||||
}
|
||||
|
||||
|
||||
# ---------------- 首页 ----------------
|
||||
@app.get("/")
|
||||
async def index():
|
||||
2
web2.sh
Normal file
2
web2.sh
Normal file
@@ -0,0 +1,2 @@
|
||||
# Ubuntu：本分支控制台入口（与无「2」分支的 web / youtube.py 等区分）
|
||||
uvicorn web2:app --host 0.0.0.0 --port 8001 --reload
|
||||
Reference in New Issue
Block a user