修改： "2026 Ubuntu \345\256\211\350\243\205.md"
新文件： "Docker\346\212\200\346\234\257.md" 新文件： "GIT\346\212\200\346\234\257.md" 新文件： "Linux\346\212\200\346\234\257.md" 新文件： "Python\346\212\200\346\234\257.md" 新文件： hermes-agent.md 新文件： "\345\244\207\344\273\275\344\270\216\346\201\242\345\244\215.md" 新文件： "\347\224\265\345\255\220\347\247\244\345\233\276\347\211\207\350\257\206\345\210\253\347\263\273\347\273\237\350\256\276\350\256\241.md"
This commit is contained in:
+87
-88
@@ -1,3 +1,88 @@
|
|||||||
|
|
||||||
|
|
||||||
|
20260525
|
||||||
|
下载 https://cn.ubuntu.com/download 最新 Ubuntu 桌面系统 26.04 LTS
|
||||||
|
|
||||||
|
sudo umount /dev/sdX*
|
||||||
|
sudo dd if=/path/to/image.iso of=/dev/sdX bs=4M status=progress
|
||||||
|
sync 验证数据同步完成
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
## 软链接
|
||||||
|
|
||||||
|
```bash
|
||||||
|
touch ~/资源/@/@000000/2026.******.txt
|
||||||
|
ln -s ~/资源/@/@000000/2026.******.txt ~ 建立软链接
|
||||||
|
```
|
||||||
|
|
||||||
|
## 微信 Linux 版
|
||||||
|
https://linux.weixin.qq.com/
|
||||||
|
|
||||||
|
WeChatLinux_x86_64.deb 下载 deb包
|
||||||
|
sudo dpkg -i WeChatLinux_x86_64.deb
|
||||||
|
|
||||||
|
|
||||||
|
## 邮箱
|
||||||
|
|
||||||
|
网易邮箱大师
|
||||||
|
https://dashi.163.com/
|
||||||
|
sudo dpkg -i mail.deb
|
||||||
|
sudo apt-get install -f 修复依赖包缺失
|
||||||
|
|
||||||
|
## 安装 Typora
|
||||||
|
|
||||||
|
[下载]( https://release-assets.githubusercontent.com/github-production-release-asset/387719913/8fc9123c-8ab6-42c4-beb8-51aed8a90380?sp=r&sv=2018-11-09&sr=b&spr=https&se=2026-02-23T12%3A07%3A58Z&rscd=attachment%3B+filename%3DTypora_Linux_0.11.18_amd64.deb&rsct=application%2Foctet-stream&skoid=96c2d410-5711-43a1-aedd-ab1947aa7ab0&sktid=398a6654-997b-47e9-b12b-9515b896b4de&skt=2026-02-23T11%3A07%3A11Z&ske=2026-02-23T12%3A07%3A58Z&sks=b&skv=2018-11-09&sig=WkCLwB1oETFZhzyEfwv%2Bg6rgXToyxVjTEoHs%2FhNv5Vk%3D&jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmVsZWFzZS1hc3NldHMuZ2l0aHVidXNlcmNvbnRlbnQuY29tIiwia2V5Ijoia2V5MSIsImV4cCI6MTc3MTg0ODIwNCwibmJmIjoxNzcxODQ2NDA0LCJwYXRoIjoicmVsZWFzZWFzc2V0cHJvZHVjdGlvbi5ibG9iLmNvcmUud2luZG93cy5uZXQifQ.t0qa0XCAmHMMaI1riV8M9-VMB4v932b0Uhb-5QJtbeM&response-content-disposition=attachment%3B%20filename%3DTypora_Linux_0.11.18_amd64.deb&response-content-type=application%2Foctet-stream) 0.11.18 或安装 /home/zimy/Tdisk/deb安装备份/Typora_Linux_0.11.18_amd64.deb
|
||||||
|
|
||||||
|
```sh
|
||||||
|
sudo apt install ./Typora_Linux_0.11.18_amd64.deb
|
||||||
|
```
|
||||||
|
sudo apt install pandoc
|
||||||
|
|
||||||
|
安装主题 zeus 和 Tailwind
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
## 安装 VPN
|
||||||
|
|
||||||
|
https://ikuuu.win/user/tutorial?os=linux&client=ikuuu-vpn
|
||||||
|
|
||||||
|
sudo dpkg -i ikuuu_vpn-0.16.4-b3a29b9a-linux-amd64.deb
|
||||||
|
|
||||||
|
sudo apt-get install -f 修复依赖包缺失
|
||||||
|
ikuuuvpn 打开客户端
|
||||||
|
|
||||||
|
### DNS
|
||||||
|
|
||||||
|
```
|
||||||
|
resolvectl status 查看当前真实使用的 DNS
|
||||||
|
sudo nano /etc/systemd/resolved.conf
|
||||||
|
增加
|
||||||
|
DNS=1.1.1.1 8.8.8.8
|
||||||
|
FallbackDNS=1.0.0.1 8.8.4.4
|
||||||
|
|
||||||
|
sudo systemctl restart systemd-resolved 重启服务
|
||||||
|
```
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
## 便签
|
||||||
|
|
||||||
|
安装短裤便签
|
||||||
|
|
||||||
|
```bash
|
||||||
|
$ sudo apt install flatpak 安装 flatpak 应用商店
|
||||||
|
$ flatpak remote-add --if-not-exists flathub https://flathub.org/repo/flathub.flatpakrepo 添加 flathub 的远程仓库
|
||||||
|
$ flatpak install flathub io.github.ellie_commons.jorts
|
||||||
|
```
|
||||||
|
|
||||||
|
##
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
sudo apt upgrade
|
sudo apt upgrade
|
||||||
|
|
||||||
其他包管理工具
|
其他包管理工具
|
||||||
@@ -42,41 +127,16 @@ https://extensions.gnome.org/extension/261/kimpanel/
|
|||||||
|
|
||||||
https://blog.csdn.net/KaminZzz/article/details/160000087?spm=1001.2101.3001.6650.2&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7EYuanLiJiHua%7EPosition-2-160000087-blog-158711659.235%5Ev43%5Epc_blog_bottom_relevance_base5&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7EYuanLiJiHua%7EPosition-2-160000087-blog-158711659.235%5Ev43%5Epc_blog_bottom_relevance_base5&utm_relevant_index=5
|
https://blog.csdn.net/KaminZzz/article/details/160000087?spm=1001.2101.3001.6650.2&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7EYuanLiJiHua%7EPosition-2-160000087-blog-158711659.235%5Ev43%5Epc_blog_bottom_relevance_base5&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7EYuanLiJiHua%7EPosition-2-160000087-blog-158711659.235%5Ev43%5Epc_blog_bottom_relevance_base5&utm_relevant_index=5
|
||||||
|
|
||||||
## 安装微信
|
|
||||||
|
|
||||||
4.1.0 下载 https://dldir1v6.qq.com/weixin/Universal/Linux/WeChatLinux_x86_64.deb
|
|
||||||
sudo dpkg -i WeChatLinux_x86_64.deb
|
|
||||||
|
|
||||||
## 安装 Typora
|
|
||||||
|
|
||||||
[下载]( https://release-assets.githubusercontent.com/github-production-release-asset/387719913/8fc9123c-8ab6-42c4-beb8-51aed8a90380?sp=r&sv=2018-11-09&sr=b&spr=https&se=2026-02-23T12%3A07%3A58Z&rscd=attachment%3B+filename%3DTypora_Linux_0.11.18_amd64.deb&rsct=application%2Foctet-stream&skoid=96c2d410-5711-43a1-aedd-ab1947aa7ab0&sktid=398a6654-997b-47e9-b12b-9515b896b4de&skt=2026-02-23T11%3A07%3A11Z&ske=2026-02-23T12%3A07%3A58Z&sks=b&skv=2018-11-09&sig=WkCLwB1oETFZhzyEfwv%2Bg6rgXToyxVjTEoHs%2FhNv5Vk%3D&jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmVsZWFzZS1hc3NldHMuZ2l0aHVidXNlcmNvbnRlbnQuY29tIiwia2V5Ijoia2V5MSIsImV4cCI6MTc3MTg0ODIwNCwibmJmIjoxNzcxODQ2NDA0LCJwYXRoIjoicmVsZWFzZWFzc2V0cHJvZHVjdGlvbi5ibG9iLmNvcmUud2luZG93cy5uZXQifQ.t0qa0XCAmHMMaI1riV8M9-VMB4v932b0Uhb-5QJtbeM&response-content-disposition=attachment%3B%20filename%3DTypora_Linux_0.11.18_amd64.deb&response-content-type=application%2Foctet-stream) 0.11.18 或安装 /home/zimy/Tdisk/deb安装备份/Typora_Linux_0.11.18_amd64.deb
|
|
||||||
|
|
||||||
```sh
|
|
||||||
sudo apt install ./Typora_Linux_0.11.18_amd64.deb
|
|
||||||
```
|
|
||||||
|
|
||||||
## 安装 Dove
|
|
||||||
看 /home/zimy/Tdisk/deb安装备份/dove
|
|
||||||
|
|
||||||
## 安装 chrome
|
## 安装 chrome
|
||||||
|
|
||||||
wget https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb
|
wget https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb
|
||||||
|
|
||||||
|
|
||||||
## 安装 office
|
|
||||||
卸载现有版本
|
|
||||||
sudo apt remove --purge libreoffice*
|
|
||||||
sudo apt autoremove
|
|
||||||
|
|
||||||
更新包列表
|
|
||||||
sudo apt update
|
|
||||||
|
|
||||||
安装中文语言包和核心组件
|
|
||||||
sudo apt install libreoffice-l10n-zh-cn libreoffice-help-zh-cnz在
|
|
||||||
|
|
||||||
安装核心程序、Writer、Calc、Impress
|
|
||||||
sudo apt install libreoffice-core libreoffice-writer libreoffice-calc libreoffice-impress
|
|
||||||
|
|
||||||
## 网页版AI应用封装为桌面应用
|
## 网页版AI应用封装为桌面应用
|
||||||
```
|
```
|
||||||
# 需先安装 Node.js 和 npm
|
# 需先安装 Node.js 和 npm
|
||||||
@@ -132,16 +192,6 @@ https://atrustcdn.sangfor.com/standard/linux/2.5.16.20/ubuntu/amd64/aTrustInstal
|
|||||||
|
|
||||||
sudo dpkg -i aTrustInstaller_amd64.deb
|
sudo dpkg -i aTrustInstaller_amd64.deb
|
||||||
|
|
||||||
## 便签
|
|
||||||
|
|
||||||
安装短裤便签
|
|
||||||
|
|
||||||
```bash
|
|
||||||
$ sudo apt install flatpak 安装 flatpak 应用商店
|
|
||||||
$ flatpak remote-add --if-not-exists flathub https://flathub.org/repo/flathub.flatpakrepo 添加 flathub 的远程仓库
|
|
||||||
$ flatpak install flathub io.github.ellie_commons.jorts
|
|
||||||
```
|
|
||||||
|
|
||||||
## 修改拼音的键盘布局
|
## 修改拼音的键盘布局
|
||||||
|
|
||||||
将键盘布局改为标准美式，避免“死键”行为：
|
将键盘布局改为标准美式，避免“死键”行为：
|
||||||
@@ -150,61 +200,10 @@ $ flatpak install flathub io.github.ellie_commons.jorts
|
|||||||
gsettings set org.gnome.desktop.input-sources sources "[('xkb', 'us'), ('ibus', 'libpinyin')]"
|
gsettings set org.gnome.desktop.input-sources sources "[('xkb', 'us'), ('ibus', 'libpinyin')]"
|
||||||
```
|
```
|
||||||
|
|
||||||
## 邮箱
|
|
||||||
|
|
||||||
网易邮箱大师
|
|
||||||
|
|
||||||
```
|
|
||||||
cd /home/zimy/Tdisk/deb安装备份
|
|
||||||
sudo dpkg -i mail.deb
|
|
||||||
sudo apt-get install -f 修复依赖包缺失
|
|
||||||
```
|
|
||||||
|
|
||||||
## 开发环境
|
##
|
||||||
|
|
||||||
### DNS & Docker
|
|
||||||
|
|
||||||
```
|
|
||||||
resolvectl status 查看当前真实使用的 DNS
|
|
||||||
sudo nano /etc/systemd/resolved.conf
|
|
||||||
增加
|
|
||||||
DNS=1.1.1.1 8.8.8.8
|
|
||||||
FallbackDNS=1.0.0.1 8.8.4.4
|
|
||||||
|
|
||||||
sudo systemctl restart systemd-resolved 重启服务
|
|
||||||
```
|
|
||||||
|
|
||||||
安装 Docker
|
|
||||||
|
|
||||||
```
|
|
||||||
# 添加 Docker 官方 GPG 密钥
|
|
||||||
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg
|
|
||||||
|
|
||||||
# 添加 Docker 仓库
|
|
||||||
echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
|
|
||||||
|
|
||||||
# 安装 Docker
|
|
||||||
sudo apt update
|
|
||||||
sudo apt install docker-ce docker-ce-cli containerd.io
|
|
||||||
|
|
||||||
# 验证
|
|
||||||
$ docker version 29.2.1
|
|
||||||
$ docker compose version v5.1.0
|
|
||||||
```
|
|
||||||
|
|
||||||
sudo vim /etc/docker/daemon.json
|
|
||||||
|
|
||||||
```
|
|
||||||
{
|
|
||||||
"registry-mirrors": [
|
|
||||||
"https://docker.1ms.run",
|
|
||||||
"https://docker-0.unsee.tech",
|
|
||||||
"https://docker.m.daocloud.io"
|
|
||||||
],
|
|
||||||
"live-restore": true,
|
|
||||||
"features": { "buildkit": true }
|
|
||||||
}
|
|
||||||
```
|
|
||||||
|
|
||||||
### python
|
### python
|
||||||
|
|
||||||
|
|||||||
+84
@@ -0,0 +1,84 @@
|
|||||||
|
# Docker相关
|
||||||
|
|
||||||
|
## 安装
|
||||||
|
|
||||||
|
```
|
||||||
|
# 添加 Docker 官方 GPG 密钥
|
||||||
|
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg
|
||||||
|
|
||||||
|
# 添加 Docker 仓库
|
||||||
|
echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
|
||||||
|
|
||||||
|
# 安装 Docker
|
||||||
|
sudo apt update
|
||||||
|
sudo apt install docker-ce docker-ce-cli containerd.io
|
||||||
|
|
||||||
|
# 验证
|
||||||
|
$ docker version 29.5.2
|
||||||
|
$ docker compose version v5.1.4
|
||||||
|
```
|
||||||
|
|
||||||
|
sudo vim /etc/docker/daemon.json
|
||||||
|
|
||||||
|
```
|
||||||
|
{
|
||||||
|
"registry-mirrors": [
|
||||||
|
"https://docker.1ms.run",
|
||||||
|
"https://docker-0.unsee.tech",
|
||||||
|
"https://docker.m.daocloud.io"
|
||||||
|
],
|
||||||
|
"live-restore": true,
|
||||||
|
"features": { "buildkit": true }
|
||||||
|
}
|
||||||
|
```
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
### 将当前用户加入 docker 组
|
||||||
|
|
||||||
|
这是最推荐的方法，加入后无需每次使用 `sudo`：
|
||||||
|
|
||||||
|
```
|
||||||
|
# 1. 将当前用户加入 docker 组
|
||||||
|
sudo usermod -aG docker $USER
|
||||||
|
|
||||||
|
# 2. 刷新组权限（或者完全退出终端并重新登录）
|
||||||
|
newgrp docker
|
||||||
|
```
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
## 使用
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
```
|
||||||
|
Docker相关：
|
||||||
|
|
||||||
|
给当前用户增加 docker 运行权限
|
||||||
|
sudo usermod -aG docker $USER
|
||||||
|
newgrp docker
|
||||||
|
|
||||||
|
SaaS镜像发布：submit- 然后远程 docker load -i my*.tar 重启容器
|
||||||
|
docker compose logs coze-server --tail 10 | grep -i "error" 查错
|
||||||
|
docker logs container_name | grep -C 20 "error" 查错误日志前后 20 行内的内容
|
||||||
|
docker compose exec -it ? /bin/sh 或 /bin/bash 进入容器执行命令
|
||||||
|
docker image prune -a 删除所有未使用的镜像 docker rmi $(docker images -q) 删除所有镜像
|
||||||
|
删除所有容器 docker stop $(docker ps -q) ; docker rm $(docker ps -q)
|
||||||
|
doker pull coleifer/sqlite-web:latest 拉镜像
|
||||||
|
docker save coleifer/sqlite-web:latest -o sqlite_web_latest.tar 保存镜像，上传
|
||||||
|
docker load -i sqlite_web_latest.tar 服务器加载镜像
|
||||||
|
-
|
||||||
|
清空日志：
|
||||||
|
docker compose logs --no-log-prefix > /dev/null 2>&1 && truncate -s 0 $(docker inspect --format='{{.LogPath}}' $(docker compose ps -q))
|
||||||
|
```
|
||||||
|
|
||||||
|
- 重启所有服务：`docker compose restart`
|
||||||
|
- 只重启网关服务：`docker compose restart hermes`
|
||||||
|
- 查看所有服务实时日志：`docker compose logs -f`
|
||||||
|
- 升级到最新镜像版本：`docker compose pull && docker compose up -d`
|
||||||
|
- 停止所有服务：`docker compose down`
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
启动指定生产环境 docker compose -f docker-compose.prod.yml ps
|
||||||
@@ -0,0 +1,185 @@
|
|||||||
|
# GIT 功能应用
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
## 安装
|
||||||
|
|
||||||
|
```bash
|
||||||
|
sudo apt install git
|
||||||
|
sudo apt install gitk git-cola 图形化工具
|
||||||
|
|
||||||
|
全局设置
|
||||||
|
git config --global user.email "zimyx@.com"
|
||||||
|
git config --global user.name "Your Name"
|
||||||
|
|
||||||
|
|
||||||
|
```
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
公司 http://117.78.60.236:8000/users/sign_in zhanghonggang@csbr.cn w~7！
|
||||||
|
|
||||||
|
## 分支管理规范
|
||||||
|
|
||||||
|
分支类型与命名规范
|
||||||
|
|
||||||
|
### 分支命名格式
|
||||||
|
|
||||||
|
| 分支类型 | 命名格式 | 示例 |
|
||||||
|
|---------|---------|------|
|
||||||
|
| 主分支 | `main` | `main` |
|
||||||
|
| 开发分支 | `dev` | `dev` |
|
||||||
|
| 功能分支 | `feat/<功能名>` | `feat/event`, `feat/stream` |
|
||||||
|
| 热修复分支 | `hotfix/<问题名>` | `hotfix/event` |
|
||||||
|
| 发布分支 | `release/<版本号>` | `release/v1.0.0` |
|
||||||
|
|
||||||
|
### 分支用途说明
|
||||||
|
|
||||||
|
| 分支类型 | 用途说明 |
|
||||||
|
|---------|---------|
|
||||||
|
| `main` | 稳定版本分支，直接对应生产环境代码 |
|
||||||
|
| `dev` | 开发主分支，所有功能集成分支先合并到此分支 |
|
||||||
|
| `feat/*` | 功能开发分支，用于开发新功能 |
|
||||||
|
| `hotfix/*` | 热修复分支，用于紧急修复生产问题 |
|
||||||
|
| `release/*` | 发布分支，用于版本发布准备 |
|
||||||
|
|
||||||
|
### 分支流程规则
|
||||||
|
|
||||||
|
#### 核心规则：dev 禁止合并到 main
|
||||||
|
|
||||||
|
**重要约束：`dev` 分支** **禁止直接合并到 `main` 分支**
|
||||||
|
|
||||||
|
- `dev` 是开发分支，代码未经充分测试，不适合直接发布到生产
|
||||||
|
- 所有合并到 `main` 的代码必须通过 `release/*` 分支或直接从 `hotfix/*` 分支合并
|
||||||
|
|
||||||
|
#### 标准合并流程
|
||||||
|
|
||||||
|
```
|
||||||
|
功能开发流程：
|
||||||
|
feat/* → dev → release/* → main
|
||||||
|
|
||||||
|
热修复流程：
|
||||||
|
hotfix/* → main (紧急情况可直接合并)
|
||||||
|
hotfix/* → dev (同步修复到开发分支)
|
||||||
|
```
|
||||||
|
|
||||||
|
#### 各分支合并规则
|
||||||
|
|
||||||
|
| 从分支 | 合并到 | 是否允许 | 说明 |
|
||||||
|
|-------|-------|---------|------|
|
||||||
|
| `feat/*` | `dev` | ✅ 允许 | 功能开发完成后合并到开发分支 |
|
||||||
|
| `dev` | `main` | ❌ 禁止 | dev 禁止直接合并到 main |
|
||||||
|
| `dev` | `release/*` | ✅ 允许 | 开发分支可以合并到发布分支 |
|
||||||
|
| `release/*` | `main` | ✅ 允许 | 发布分支通过测试后合并到 main |
|
||||||
|
| `release/*` | `dev` | ✅ 允许 | 发布分支可同步回开发分支 |
|
||||||
|
| `hotfix/*` | `main` | ✅ 允许 | 热修复可直接合并到 main |
|
||||||
|
| `hotfix/*` | `dev` | ✅ 允许 | 热修复需同步到开发分支 |
|
||||||
|
| `feat/*` | `main` | ❌ 禁止 | 功能分支禁止直接合并到 main |
|
||||||
|
| `feat/*` | 其他 `feat/*` | ❌ 禁止 | 功能分支之间禁止互相合并 |
|
||||||
|
|
||||||
|
### 当前项目分支结构
|
||||||
|
|
||||||
|
```
|
||||||
|
本地分支：
|
||||||
|
- dev (开发主分支，当前工作分支)
|
||||||
|
- feat/event (事件功能分支)
|
||||||
|
- feat/stream (流功能分支)
|
||||||
|
- hotfix/event (事件热修复分支)
|
||||||
|
- main (生产环境分支)
|
||||||
|
|
||||||
|
远程分支：
|
||||||
|
- origin/main
|
||||||
|
- origin/dev
|
||||||
|
- origin/feat/event
|
||||||
|
```
|
||||||
|
|
||||||
|
### Git 操作指南
|
||||||
|
|
||||||
|
#### 创建功能分支
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# 从 main 创建功能分支
|
||||||
|
git checkout main
|
||||||
|
git pull origin main
|
||||||
|
git checkout -b feat/your-feature-name
|
||||||
|
```
|
||||||
|
|
||||||
|
#### 合并功能到 dev
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# 完成功能开发后，切换到 dev 分支
|
||||||
|
git checkout dev
|
||||||
|
git pull origin dev
|
||||||
|
|
||||||
|
# 合并功能分支
|
||||||
|
git merge feat/your-feature-name
|
||||||
|
|
||||||
|
# 推送 dev 分支
|
||||||
|
git push origin dev
|
||||||
|
```
|
||||||
|
|
||||||
|
#### 创建发布分支
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# 从 dev 创建发布分支
|
||||||
|
git checkout dev
|
||||||
|
git pull origin dev
|
||||||
|
git checkout -b release/v1.0.0
|
||||||
|
```
|
||||||
|
|
||||||
|
#### 发布到 main
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# 在 release 分支完成测试后，合并到 main
|
||||||
|
git checkout main
|
||||||
|
git pull origin main
|
||||||
|
git merge release/v1.0.0
|
||||||
|
git push origin main
|
||||||
|
|
||||||
|
# 删除发布分支
|
||||||
|
git branch -d release/v1.0.0
|
||||||
|
git push origin --delete release/v1.0.0
|
||||||
|
```
|
||||||
|
|
||||||
|
#### 热修复操作
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# 从 main 创建热修复分支
|
||||||
|
git checkout main
|
||||||
|
git pull origin main
|
||||||
|
git checkout -b hotfix/issue-description
|
||||||
|
|
||||||
|
# 修复完成后，合并到 main
|
||||||
|
git checkout main
|
||||||
|
git merge hotfix/issue-description
|
||||||
|
git push origin main
|
||||||
|
|
||||||
|
# 同时合并到 dev
|
||||||
|
git checkout dev
|
||||||
|
git merge hotfix/issue-description
|
||||||
|
git push origin dev
|
||||||
|
|
||||||
|
# 删除热修复分支
|
||||||
|
git branch -d hotfix/issue-description
|
||||||
|
```
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
```
|
||||||
|
git add .
|
||||||
|
git commit -m "更新代码"
|
||||||
|
git push
|
||||||
|
```
|
||||||
|
|
||||||
+44
@@ -0,0 +1,44 @@
|
|||||||
|
|
||||||
|
|
||||||
|
ss -tunlp | grep -E '9090|789.' 查看 9090 和 789* 端口
|
||||||
|
find / -name '*.php' 查询根目录下所有php后缀文件
|
||||||
|
for file in *.docx; do pandoc "$file" -o "${file%.docx}.md"; done 批量转换 docx 到 md
|
||||||
|
pdf2docx convert a.pdf a.docx 转换 pdf 到 docx
|
||||||
|
ps aux --sort=-%cpu | head -n 6 CPU占用Top5 free -h 内存占用
|
||||||
|
openssl rand -base64 12 生成长度为12的随机密码
|
||||||
|
curl 4.ipw.cn 本机上网出口 IPv4 查询, 4可改6
|
||||||
|
Watch -n 1 'ls -l' 每隔1秒执行目录查询
|
||||||
|
tar -cvf coze-studio.tar coze-studio 创建tar压缩包
|
||||||
|
tar -xvf coze-studio.tar 解压
|
||||||
|
映射远程目录 Nautilus (GNOME Files) 的“其他位置”输入 sftp://1.95.127.205
|
||||||
|
|
||||||
|
sudo apt update
|
||||||
|
sudo apt upgrade
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
===================================================快捷键
|
||||||
|
Alt + F2 运行应用程序 Copilot（AI键） 打开命令行终端 cmd
|
||||||
|
WIN +Alt + → / ← 工作台间切换 WIN + ` 在同一个应用程序的窗口之间切换
|
||||||
|
Shift + 小键盘0～5 0截屏 1目录 2 firefox 3 邮箱 4Typora 5 记事 . 摄像头
|
||||||
|
Emoji 符号 通过 Firefox 插件输入
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
```
|
||||||
|
VIM 快捷键
|
||||||
|
yy -> p(粘贴) 拷贝当前行 nyy -> p(粘贴) 拷贝下n行
|
||||||
|
dd 删除当前行 u 撤销 5 -> Shift+g 定位到第5行
|
||||||
|
/xx ->n(下一个) 查找文本。上一个按‘N’
|
||||||
|
G 文末 gg 首行 ：set nu 设置行号
|
||||||
|
==========================================================
|
||||||
|
```
|
||||||
|
|
||||||
|
==============
|
||||||
|
安装 ufw： sudo pacman -S ufw 防火墙
|
||||||
|
sudo ufw enable 启用 ufw
|
||||||
|
sudo ufw default deny incoming 设置默认策略为拒绝所有传入和传出连接
|
||||||
|
sudo ufw default deny outgoing
|
||||||
|
允许特定的服务和端口。例如，允许 SSH 连接：sudo ufw allow ssh 或者：sudo ufw allow 22/tcp 最后，检查 ufw 的状态：sudo ufw status
|
||||||
+21
@@ -0,0 +1,21 @@
|
|||||||
|
|
||||||
|
|
||||||
|
```
|
||||||
|
PYTHON
|
||||||
|
apt install python3-pip python3-dev 安装包管理器、编译环境包 (3.12.3)
|
||||||
|
python3 -m venv .venv 为对应目录创建虚拟环境
|
||||||
|
source .venv/bin/activate 激活后终端会显示
|
||||||
|
|
||||||
|
Python 使用 pyenv 多版本管理
|
||||||
|
$ curl https://pyenv.run | bash 安装pyenv
|
||||||
|
echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.bashrc
|
||||||
|
echo '[[ -d $PYENV_ROOT/bin ]] && export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.bashrc
|
||||||
|
echo 'eval "$(pyenv init - bash)"' >> ~/.bashrc
|
||||||
|
source .bashrc
|
||||||
|
pyenv install 3.10.0 安装 Python 3.10
|
||||||
|
pyenv global 3.10.0 设置全局 Python 版本
|
||||||
|
用 Python 3.10 创建虚拟环境, 进入项目目录
|
||||||
|
python3.10 -m venv .venv_py310
|
||||||
|
source .venv_py310/bin/activate
|
||||||
|
```
|
||||||
|
|
||||||
+616
@@ -0,0 +1,616 @@
|
|||||||
|
# Hermes Agent 0.9.0
|
||||||
|
|
||||||
|
https://hermes-agent.nousresearch.com/docs/user-guide/docker?_highlight=docker#docker-compose-example
|
||||||
|
|
||||||
|
1.95.126.170
|
||||||
|
|
||||||
|
## 部署
|
||||||
|
|
||||||
|
/www/hermes/docker-compose.yml
|
||||||
|
|
||||||
|
```yml
|
||||||
|
services:
|
||||||
|
hermes:
|
||||||
|
image: nousresearch/hermes-agent:latest
|
||||||
|
container_name: hermes
|
||||||
|
restart: unless-stopped
|
||||||
|
command: gateway run
|
||||||
|
ports:
|
||||||
|
- "8642:8642"
|
||||||
|
volumes:
|
||||||
|
- ~/.hermes:/opt/data
|
||||||
|
networks:
|
||||||
|
- hermes-net
|
||||||
|
# Uncomment to forward specific env vars instead of using .env file:
|
||||||
|
# environment:
|
||||||
|
# - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
|
||||||
|
# - OPENAI_API_KEY=${OPENAI_API_KEY}
|
||||||
|
# - TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN}
|
||||||
|
deploy:
|
||||||
|
resources:
|
||||||
|
limits:
|
||||||
|
memory: 4G
|
||||||
|
cpus: "2.0"
|
||||||
|
|
||||||
|
dashboard:
|
||||||
|
image: nousresearch/hermes-agent:latest
|
||||||
|
container_name: hermes-dashboard
|
||||||
|
restart: unless-stopped
|
||||||
|
command: dashboard --host 0.0.0.0 --insecure
|
||||||
|
ports:
|
||||||
|
- "9119:9119"
|
||||||
|
volumes:
|
||||||
|
- ~/.hermes:/opt/data
|
||||||
|
environment:
|
||||||
|
- GATEWAY_HEALTH_URL=http://hermes:8642
|
||||||
|
networks:
|
||||||
|
- hermes-net
|
||||||
|
depends_on:
|
||||||
|
- hermes
|
||||||
|
deploy:
|
||||||
|
resources:
|
||||||
|
limits:
|
||||||
|
memory: 512M
|
||||||
|
cpus: "0.5"
|
||||||
|
|
||||||
|
networks:
|
||||||
|
hermes-net:
|
||||||
|
driver: bridge
|
||||||
|
```
|
||||||
|
|
||||||
|
## 配置
|
||||||
|
|
||||||
|
cat ~/.hermes/.env 配置仪表盘、模型、消息平台
|
||||||
|
|
||||||
|
```ini
|
||||||
|
# Hermes Agent Environment Configuration
|
||||||
|
# Copy this file to .env and fill in your API keys
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# LLM PROVIDER (OpenRouter)
|
||||||
|
# =============================================================================
|
||||||
|
# OpenRouter provides access to many models through one API
|
||||||
|
# All LLM calls go through OpenRouter - no direct provider keys needed
|
||||||
|
# Get your key at: https://openrouter.ai/keys
|
||||||
|
# OPENROUTER_API_KEY=
|
||||||
|
|
||||||
|
# Default model is configured in ~/.hermes/config.yaml (model.default).
|
||||||
|
# Use 'hermes model' or 'hermes setup' to change it.
|
||||||
|
# LLM_MODEL is no longer read from .env — this line is kept for reference only.
|
||||||
|
# LLM_MODEL=anthropic/claude-opus-4.6
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# LLM PROVIDER (Google AI Studio / Gemini)
|
||||||
|
# =============================================================================
|
||||||
|
# Native Gemini API via Google's OpenAI-compatible endpoint.
|
||||||
|
# Get your key at: https://aistudio.google.com/app/apikey
|
||||||
|
# GOOGLE_API_KEY=your_google_ai_studio_key_here
|
||||||
|
# GEMINI_API_KEY=your_gemini_key_here # alias for GOOGLE_API_KEY
|
||||||
|
# Optional base URL override (default: Google's OpenAI-compatible endpoint)
|
||||||
|
# GEMINI_BASE_URL=https://generativelanguage.googleapis.com/v1beta/openai
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# LLM PROVIDER (z.ai / GLM)
|
||||||
|
# =============================================================================
|
||||||
|
# z.ai provides access to ZhipuAI GLM models (GLM-4-Plus, etc.)
|
||||||
|
# Get your key at: https://z.ai or https://open.bigmodel.cn
|
||||||
|
# GLM_API_KEY=
|
||||||
|
# GLM_BASE_URL=https://api.z.ai/api/paas/v4 # Override default base URL
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# LLM PROVIDER (Kimi / Moonshot)
|
||||||
|
# =============================================================================
|
||||||
|
# Kimi Code provides access to Moonshot AI coding models (kimi-k2.5, etc.)
|
||||||
|
# Get your key at: https://platform.kimi.ai (Kimi Code console)
|
||||||
|
# Keys prefixed sk-kimi- use the Kimi Code API (api.kimi.com) by default.
|
||||||
|
# Legacy keys from platform.moonshot.ai need KIMI_BASE_URL override below.
|
||||||
|
# KIMI_API_KEY=
|
||||||
|
# KIMI_BASE_URL=https://api.kimi.com/coding/v1 # Default for sk-kimi- keys
|
||||||
|
# KIMI_BASE_URL=https://api.moonshot.ai/v1 # For legacy Moonshot keys
|
||||||
|
# KIMI_BASE_URL=https://api.moonshot.cn/v1 # For Moonshot China keys
|
||||||
|
# KIMI_CN_API_KEY= # Dedicated Moonshot China key
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# LLM PROVIDER (Arcee AI)
|
||||||
|
# =============================================================================
|
||||||
|
# Arcee AI provides access to Trinity models (trinity-mini, trinity-large-*)
|
||||||
|
# Get an Arcee key at: https://chat.arcee.ai/
|
||||||
|
# ARCEEAI_API_KEY=
|
||||||
|
# ARCEE_BASE_URL= # Override default base URL
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# LLM PROVIDER (MiniMax)
|
||||||
|
# =============================================================================
|
||||||
|
# MiniMax provides access to MiniMax models (global endpoint)
|
||||||
|
# Get your key at: https://www.minimax.io
|
||||||
|
# MINIMAX_API_KEY=
|
||||||
|
# MINIMAX_BASE_URL=https://api.minimax.io/v1 # Override default base URL
|
||||||
|
|
||||||
|
# MiniMax China endpoint (for users in mainland China)
|
||||||
|
# MINIMAX_CN_API_KEY=
|
||||||
|
# MINIMAX_CN_BASE_URL=https://api.minimaxi.com/v1 # Override default base URL
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# LLM PROVIDER (OpenCode Zen)
|
||||||
|
# =============================================================================
|
||||||
|
# OpenCode Zen provides curated, tested models (GPT, Claude, Gemini, MiniMax, GLM, Kimi)
|
||||||
|
# Pay-as-you-go pricing. Get your key at: https://opencode.ai/auth
|
||||||
|
# OPENCODE_ZEN_API_KEY=
|
||||||
|
# OPENCODE_ZEN_BASE_URL=https://opencode.ai/zen/v1 # Override default base URL
|
||||||
|
A
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# LLM PROVIDER (OpenCode Go)
|
||||||
|
# =============================================================================
|
||||||
|
# OpenCode Go provides access to open models (GLM-5, Kimi K2.5, MiniMax M2.5)
|
||||||
|
# A
|
||||||
|
# $10/month subscription. Get your key at: https://opencode.ai/auth
|
||||||
|
# OPENCODE_GO_API_KEY=
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# LLM PROVIDER (Hugging Face Inference Providers)
|
||||||
|
# =============================================================================
|
||||||
|
# Hugging Face routes to 20+ open models via unified OpenAI-compatible endpoint.
|
||||||
|
# Free tier included ($0.10/month), no markup on provider rates.
|
||||||
|
# Get your token at: https://huggingface.co/settings/tokens
|
||||||
|
# Required permission: "Make calls to Inference Providers"
|
||||||
|
# HF_TOKEN=
|
||||||
|
# OPENCODE_GO_BASE_URL=https://opencode.ai/zen/go/v1 # Override default base URL
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# LLM PROVIDER (Qwen OAuth)
|
||||||
|
# =============================================================================
|
||||||
|
# Qwen OAuth reuses your local Qwen CLI login (qwen auth qwen-oauth).
|
||||||
|
# No API key needed — credentials come from ~/.qwen/oauth_creds.json.
|
||||||
|
# Optional base URL override:
|
||||||
|
# HERMES_QWEN_BASE_URL=https://portal.qwen.ai/v1
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# LLM PROVIDER (Xiaomi MiMo)
|
||||||
|
# =============================================================================
|
||||||
|
# Xiaomi MiMo models (mimo-v2-pro, mimo-v2-omni, mimo-v2-flash).
|
||||||
|
# Get your key at: https://platform.xiaomimimo.com
|
||||||
|
# XIAOMI_API_KEY=your_key_here
|
||||||
|
# Optional base URL override:
|
||||||
|
# XIAOMI_BASE_URL=https://api.xiaomimimo.com/v1
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# TOOL API KEYS
|
||||||
|
# =============================================================================
|
||||||
|
|
||||||
|
# Exa API Key - AI-native web search and contents
|
||||||
|
# Get at: https://exa.ai
|
||||||
|
# EXA_API_KEY=
|
||||||
|
|
||||||
|
# Parallel API Key - AI-native web search and extract
|
||||||
|
# Get at: https://parallel.ai
|
||||||
|
# PARALLEL_API_KEY=
|
||||||
|
|
||||||
|
# Firecrawl API Key - Web search, extract, and crawl
|
||||||
|
# Get at: https://firecrawl.dev/
|
||||||
|
# FIRECRAWL_API_KEY=
|
||||||
|
|
||||||
|
|
||||||
|
# FAL.ai API Key - Image generation
|
||||||
|
# Get at: https://fal.ai/
|
||||||
|
# FAL_KEY=
|
||||||
|
|
||||||
|
# Honcho - Cross-session AI-native user modeling (optional)
|
||||||
|
# Builds a persistent understanding of the user across sessions and tools.
|
||||||
|
# Get at: https://app.honcho.dev
|
||||||
|
# Also requires ~/.honcho/config.json with enabled=true (see README).
|
||||||
|
# HONCHO_API_KEY=
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# TERMINAL TOOL CONFIGURATION
|
||||||
|
# =============================================================================
|
||||||
|
# Backend type: "local", "singularity", "docker", "modal", or "ssh"
|
||||||
|
# Terminal backend is configured in ~/.hermes/config.yaml (terminal.backend).
|
||||||
|
# Use 'hermes setup' or 'hermes config set terminal.backend docker' to change.
|
||||||
|
# Supported: local, docker, singularity, modal, ssh
|
||||||
|
#
|
||||||
|
# Only override here if you need to force a backend without touching config.yaml:
|
||||||
|
# TERMINAL_ENV=local
|
||||||
|
|
||||||
|
# Override the container runtime binary (e.g. to use Podman instead of Docker).
|
||||||
|
# Useful on systems where Docker's storage driver is broken or unavailable.
|
||||||
|
# HERMES_DOCKER_BINARY=/usr/local/bin/podman
|
||||||
|
|
||||||
|
# Container images (for singularity/docker/modal backends)
|
||||||
|
# TERMINAL_DOCKER_IMAGE=nikolaik/python-nodejs:python3.11-nodejs20
|
||||||
|
# TERMINAL_SINGULARITY_IMAGE=docker://nikolaik/python-nodejs:python3.11-nodejs20
|
||||||
|
TERMINAL_MODAL_IMAGE=nikolaik/python-nodejs:python3.11-nodejs20
|
||||||
|
|
||||||
|
|
||||||
|
# Working directory for terminal commands
|
||||||
|
# For local backend: "." means current directory (resolved automatically)
|
||||||
|
# For remote backends (ssh/docker/modal/singularity): use an absolute path
|
||||||
|
# INSIDE the target environment, or leave unset for the backend's default
|
||||||
|
# (/root for modal, / for docker, ~ for ssh). Do NOT use a host-local path.
|
||||||
|
# Usually managed by config.yaml (terminal.cwd) — uncomment to override
|
||||||
|
# TERMINAL_CWD=.
|
||||||
|
|
||||||
|
# Default command timeout in seconds
|
||||||
|
TERMINAL_TIMEOUT=60
|
||||||
|
|
||||||
|
# Cleanup inactive environments after this many seconds
|
||||||
|
TERMINAL_LIFETIME_SECONDS=300
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# SSH REMOTE EXECUTION (for TERMINAL_ENV=ssh)
|
||||||
|
# =============================================================================
|
||||||
|
# Run terminal commands on a remote server via SSH.
|
||||||
|
# Agent code stays on your machine, commands execute remotely.
|
||||||
|
#
|
||||||
|
# SECURITY BENEFITS:
|
||||||
|
# - Agent cannot read your .env file (API keys protected)
|
||||||
|
# - Agent cannot modify its own code
|
||||||
|
# - Remote server acts as isolated sandbox
|
||||||
|
# - Can safely configure passwordless sudo on remote
|
||||||
|
#
|
||||||
|
# TERMINAL_SSH_HOST=192.168.1.100
|
||||||
|
# TERMINAL_SSH_USER=agent
|
||||||
|
# TERMINAL_SSH_PORT=22
|
||||||
|
# TERMINAL_SSH_KEY=~/.ssh/id_rsa
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# SUDO SUPPORT (works with ALL terminal backends)
|
||||||
|
# =============================================================================
|
||||||
|
# If set, enables sudo commands by piping password via `sudo -S`.
|
||||||
|
# Works with: local, docker, singularity, modal, and ssh backends.
|
||||||
|
#
|
||||||
|
# SECURITY WARNING: Password stored in plaintext. Only use on trusted machines.
|
||||||
|
#
|
||||||
|
# ALTERNATIVES:
|
||||||
|
# - For SSH backend: Configure passwordless sudo on the remote server
|
||||||
|
# - For containers: Run as root inside the container (no sudo needed)
|
||||||
|
# - For local: Configure /etc/sudoers for specific commands
|
||||||
|
# - For CLI: Leave unset - you'll be prompted interactively with 45s timeout
|
||||||
|
#
|
||||||
|
# SUDO_PASSWORD=your_password_here
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# MODAL CLOUD BACKEND (Optional - for TERMINAL_ENV=modal)
|
||||||
|
# =============================================================================
|
||||||
|
# Modal uses CLI authentication, not environment variables.
|
||||||
|
# Run: pip install modal && modal setup
|
||||||
|
# This will authenticate via browser and store credentials locally.
|
||||||
|
# No API key needed in .env - Modal handles auth automatically.
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# BROWSER TOOL CONFIGURATION (agent-browser + Browserbase)
|
||||||
|
# =============================================================================
|
||||||
|
# Browser automation requires Browserbase cloud service for remote browser execution.
|
||||||
|
# This allows the agent to navigate websites, fill forms, and extract information.
|
||||||
|
#
|
||||||
|
# STEALTH MODES:
|
||||||
|
# - Basic Stealth: ALWAYS active (random fingerprints, auto CAPTCHA solving)
|
||||||
|
# - Advanced Stealth: Requires BROWSERBASE_ADVANCED_STEALTH=true (Scale Plan only)
|
||||||
|
|
||||||
|
# Browserbase API Key - Cloud browser execution
|
||||||
|
# Get at: https://browserbase.com/
|
||||||
|
# BROWSERBASE_API_KEY=
|
||||||
|
|
||||||
|
# Browserbase Project ID - From your Browserbase dashboard
|
||||||
|
# BROWSERBASE_PROJECT_ID=
|
||||||
|
|
||||||
|
# Enable residential proxies for better CAPTCHA solving (default: true)
|
||||||
|
# Routes traffic through residential IPs, significantly improves success rate
|
||||||
|
BROWSERBASE_PROXIES=true
|
||||||
|
|
||||||
|
# Enable advanced stealth mode (default: false, requires Scale Plan)
|
||||||
|
# Uses custom Chromium build to avoid bot detection altogether
|
||||||
|
BROWSERBASE_ADVANCED_STEALTH=false
|
||||||
|
|
||||||
|
# Browser session timeout in seconds (default: 300)
|
||||||
|
# Sessions are cleaned up after this duration of inactivity
|
||||||
|
BROWSER_SESSION_TIMEOUT=300
|
||||||
|
|
||||||
|
# Browser inactivity timeout - auto-cleanup inactive sessions (default: 120 = 2 min)
|
||||||
|
# Browser sessions are automatically closed after this period of no activity
|
||||||
|
BROWSER_INACTIVITY_TIMEOUT=120
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# SESSION LOGGING
|
||||||
|
# =============================================================================
|
||||||
|
# Session trajectories are automatically saved to logs/ directory
|
||||||
|
# Format: logs/session_YYYYMMDD_HHMMSS_UUID.json
|
||||||
|
# Contains full conversation history in trajectory format for debugging/replay
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# VOICE TRANSCRIPTION & OPENAI TTS
|
||||||
|
# =============================================================================
|
||||||
|
# Required for voice message transcription (Whisper) and OpenAI TTS voices.
|
||||||
|
# Uses OpenAI's API directly (not via OpenRouter).
|
||||||
|
# Named VOICE_TOOLS_OPENAI_KEY to avoid interference with OpenRouter.
|
||||||
|
# Get at: https://platform.openai.com/api-keys
|
||||||
|
# VOICE_TOOLS_OPENAI_KEY=
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# SLACK INTEGRATION
|
||||||
|
# =============================================================================
|
||||||
|
# Slack Bot Token - From Slack App settings (OAuth & Permissions)
|
||||||
|
# Get at: https://api.slack.com/apps
|
||||||
|
# SLACK_BOT_TOKEN=xoxb-...
|
||||||
|
|
||||||
|
# Slack App Token - For Socket Mode (App-Level Tokens in Slack App settings)
|
||||||
|
# SLACK_APP_TOKEN=xapp-...
|
||||||
|
|
||||||
|
# Slack allowed users (comma-separated Slack user IDs)
|
||||||
|
# SLACK_ALLOWED_USERS=
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# TELEGRAM INTEGRATION
|
||||||
|
# =============================================================================
|
||||||
|
# Telegram Bot Token - From @BotFather (https://t.me/BotFather)
|
||||||
|
# TELEGRAM_BOT_TOKEN=
|
||||||
|
# TELEGRAM_ALLOWED_USERS= # Comma-separated user IDs
|
||||||
|
# TELEGRAM_HOME_CHANNEL= # Default chat for cron delivery
|
||||||
|
# TELEGRAM_HOME_CHANNEL_NAME= # Display name for home channel
|
||||||
|
|
||||||
|
# Webhook mode (optional — for cloud deployments like Fly.io/Railway)
|
||||||
|
# Default is long polling. Setting TELEGRAM_WEBHOOK_URL switches to webhook mode.
|
||||||
|
# TELEGRAM_WEBHOOK_URL=https://my-app.fly.dev/telegram
|
||||||
|
# TELEGRAM_WEBHOOK_PORT=8443
|
||||||
|
# TELEGRAM_WEBHOOK_SECRET= # Recommended for production
|
||||||
|
|
||||||
|
# WhatsApp (built-in Baileys bridge — run `hermes whatsapp` to pair)
|
||||||
|
# WHATSAPP_ENABLED=false
|
||||||
|
# WHATSAPP_ALLOWED_USERS=15551234567
|
||||||
|
|
||||||
|
# Email (IMAP/SMTP — send and receive emails as Hermes)
|
||||||
|
# For Gmail: enable 2FA → create App Password at https://myaccount.google.com/apppasswords
|
||||||
|
# EMAIL_ADDRESS=hermes@gmail.com
|
||||||
|
# EMAIL_PASSWORD=xxxx xxxx xxxx xxxx
|
||||||
|
# EMAIL_IMAP_HOST=imap.gmail.com
|
||||||
|
# EMAIL_IMAP_PORT=993
|
||||||
|
# EMAIL_SMTP_HOST=smtp.gmail.com
|
||||||
|
# EMAIL_SMTP_PORT=587
|
||||||
|
# EMAIL_POLL_INTERVAL=15
|
||||||
|
# EMAIL_ALLOWED_USERS=your@email.com
|
||||||
|
# EMAIL_HOME_ADDRESS=your@email.com
|
||||||
|
|
||||||
|
# Gateway-wide: allow ALL users without an allowlist (default: false = deny)
|
||||||
|
# Only set to true if you intentionally want open access.
|
||||||
|
# GATEWAY_ALLOW_ALL_USERS=false
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# RESPONSE PACING
|
||||||
|
# =============================================================================
|
||||||
|
# Human-like delays between message chunks on messaging platforms.
|
||||||
|
# Makes the bot feel less robotic.
|
||||||
|
# HERMES_HUMAN_DELAY_MODE=off # off | natural | custom
|
||||||
|
# HERMES_HUMAN_DELAY_MIN_MS=800 # Min delay in ms (custom mode)
|
||||||
|
# HERMES_HUMAN_DELAY_MAX_MS=2500 # Max delay in ms (custom mode)
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# DEBUG OPTIONS
|
||||||
|
# =============================================================================
|
||||||
|
WEB_TOOLS_DEBUG=false
|
||||||
|
VISION_TOOLS_DEBUG=false
|
||||||
|
MOA_TOOLS_DEBUG=false
|
||||||
|
IMAGE_TOOLS_DEBUG=false
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# CONTEXT COMPRESSION (Auto-shrinks long conversations)
|
||||||
|
# =============================================================================
|
||||||
|
# When conversation approaches model's context limit, middle turns are
|
||||||
|
# automatically summarized to free up space.
|
||||||
|
#
|
||||||
|
# Context compression is configured in ~/.hermes/config.yaml under compression:
|
||||||
|
# CONTEXT_COMPRESSION_ENABLED=true # Enable auto-compression (default: true)
|
||||||
|
# CONTEXT_COMPRESSION_THRESHOLD=0.85 # Compress at 85% of context limit
|
||||||
|
# Model is set via compression.summary_model in config.yaml (default: google/gemini-3-flash-preview)
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# RL TRAINING (Tinker + Atropos)
|
||||||
|
# =============================================================================
|
||||||
|
# Run reinforcement learning training on language models using the Tinker API.
|
||||||
|
# Requires the rl-server to be running (from tinker-atropos package).
|
||||||
|
|
||||||
|
# Tinker API Key - RL training service
|
||||||
|
# Get at: https://tinker-console.thinkingmachines.ai/keys
|
||||||
|
# TINKER_API_KEY=
|
||||||
|
|
||||||
|
# Weights & Biases API Key - Experiment tracking and metrics
|
||||||
|
# Get at: https://wandb.ai/authorize
|
||||||
|
# WANDB_API_KEY=
|
||||||
|
|
||||||
|
# RL API Server URL (default: http://localhost:8080)
|
||||||
|
# Change if running the rl-server on a different host/port
|
||||||
|
# RL_API_URL=http://localhost:8080
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# SKILLS HUB (GitHub integration for skill search/install/publish)
|
||||||
|
# =============================================================================
|
||||||
|
|
||||||
|
# GitHub Personal Access Token — for higher API rate limits on skill search/install
|
||||||
|
# Get at: https://github.com/settings/tokens (Fine-grained recommended)
|
||||||
|
# GITHUB_TOKEN=ghp_xxxxxxxxxxxxxxxxxxxx
|
||||||
|
|
||||||
|
# GitHub App credentials (optional — for bot identity on PRs)
|
||||||
|
# GITHUB_APP_ID=
|
||||||
|
# GITHUB_APP_PRIVATE_KEY_PATH=
|
||||||
|
# GITHUB_APP_INSTALLATION_ID=
|
||||||
|
|
||||||
|
# Groq API key (free tier — used for Whisper STT in voice mode)
|
||||||
|
# GROQ_API_KEY=
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# STT PROVIDER SELECTION
|
||||||
|
# =============================================================================
|
||||||
|
# Default STT provider is "local" (faster-whisper) — runs on your machine, no API key needed.
|
||||||
|
# Install with: pip install faster-whisper
|
||||||
|
# Model downloads automatically on first use (~150 MB for "base").
|
||||||
|
# To use cloud providers instead, set GROQ_API_KEY or VOICE_TOOLS_OPENAI_KEY above.
|
||||||
|
# Provider priority: local > groq > openai
|
||||||
|
# Configure in config.yaml: stt.provider: local | groq | openai
|
||||||
|
|
||||||
|
# =============================================================================
|
||||||
|
# STT ADVANCED OVERRIDES (optional)
|
||||||
|
# =============================================================================
|
||||||
|
# Override default STT models per provider (normally set via stt.model in config.yaml)
|
||||||
|
# STT_GROQ_MODEL=whisper-large-v3-turbo
|
||||||
|
# STT_OPENAI_MODEL=whisper-1
|
||||||
|
|
||||||
|
# Override STT provider endpoints (for proxies or self-hosted instances)
|
||||||
|
# GROQ_BASE_URL=https://api.groq.com/openai/v1
|
||||||
|
# STT_OPENAI_BASE_URL=https://api.openai.com/v1
|
||||||
|
|
||||||
|
# 基本配置
|
||||||
|
GATEWAY_ALLOW_ALL_USERS=true
|
||||||
|
|
||||||
|
# Dashboard 认证
|
||||||
|
DASHBOARD_USERNAME=admin
|
||||||
|
DASHBOARD_PASSWORD=your_secure_password_here # 改成你的密码
|
||||||
|
|
||||||
|
# 时区
|
||||||
|
TZ=Asia/Shanghai
|
||||||
|
ARCEEAI_API_KEY=dec57933-c3e4-4f4a-a114-b0ae8104e396
|
||||||
|
ARCEE_BASE_URL=https://ark.cn-beijing.volces.com/api/coding/v3
|
||||||
|
|
||||||
|
|
||||||
|
WECOM_BOT_ID=aib1TzEwFCq0ia1...qlDLt2Fv
|
||||||
|
WECOM_SECRET=1U12qLqTdV......ZRIt0ts
|
||||||
|
GATEWAY_ALLOW_ALL_USERS=true
|
||||||
|
WECOM_ALLOWED_USERS=LiuRan,ZhangHongGang,WangJian
|
||||||
|
WECOM_ENABLE_ATTACHMENTS=true
|
||||||
|
```
|
||||||
|
|
||||||
|
### 飞书
|
||||||
|
|
||||||
|
**飞书开发者后台**
|
||||||
|
|
||||||
|
1. 登录[飞书开放平台](https://open.feishu.cn/app?lang=zh-CN)，创建**企业自建应用**
|
||||||
|
2. `App ID` cli_a968...9cb6 和 `App Secret` Q8ykzs7vJdhnda.....qpxi1yfAJIUQH
|
||||||
|
3. 进入「添加应用能力」→ **机器人** →允许接收私聊、允许接收群聊
|
||||||
|
4. 进入「权限管理」
|
||||||
|
- `im:message:send_as_bot`（机器人发消息）
|
||||||
|
- `im:message:readonly`（读消息）
|
||||||
|
- `im:message.group_at_msg:readonly`（群 @）
|
||||||
|
- `im:message.p2p_msg:readonly`（私聊）
|
||||||
|
- `contact:user.employee_id:readonly`（读用户 ID）
|
||||||
|
5. 事件订阅（WebSocket 模式）
|
||||||
|
- 左侧：开发配置 → 事件与回调
|
||||||
|
- 接收方式：**使用长连接（WebSocket）**
|
||||||
|
- 订阅事件：**`im.message.receive_v1`**（接收消息）
|
||||||
|
- 保存
|
||||||
|
6. 版本发布**→ 发布**（企业自建应用直接可用）
|
||||||
|
|
||||||
|
**服务器：安装飞书依赖**
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# 进入 Hermes 环境（根据你部署方式）
|
||||||
|
cd /path/to/hermes
|
||||||
|
|
||||||
|
# 安装飞书 SDK
|
||||||
|
uv pip install lark-oapi websockets
|
||||||
|
# 或用 pip（无 uv）
|
||||||
|
pip install lark-oapi websockets
|
||||||
|
```
|
||||||
|
|
||||||
|
### 企业微信
|
||||||
|
|
||||||
|
1. 打开企业微信管理后台，创建机器人：https://work.weixin.qq.com/wework_admin/frame#/aiHelper/create 选择 API 方式创建 **CS Agent**
|
||||||
|
- 连接方式： 使用长连接
|
||||||
|
- Bot ID aib1T ...t2Fv
|
||||||
|
- Secret 1U12qLqTdV pd8kKBrcpdk9pZRIt0ts
|
||||||
|
2. 可使用权限
|
||||||
|
- 用户信息
|
||||||
|
- 文档
|
||||||
|
|
||||||
|
## 运行
|
||||||
|
|
||||||
|
```
|
||||||
|
cd /www/hermes/
|
||||||
|
docker run -it --rm -v ~/.hermes:/opt/data nousresearch/hermes-agent
|
||||||
|
```
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
我想让你通过学习成为医学减重领域的个案管理师，怎么样
|
||||||
|
|
||||||
|
我可以按照「权威知识库搭建→适配你的工作规范→实操迭代优化」三步来完成学习，完全适配你的工作需求：
|
||||||
|
|
||||||
|
### 第一步：先搭建权威的医学减重知识基底（我可以自主完成）
|
||||||
|
|
||||||
|
我会优先检索学习国内国际公认的权威指南作为底层知识框架，包括：
|
||||||
|
|
||||||
|
- 《中国超重/肥胖医学营养治疗指南（2023版）》
|
||||||
|
- WHO成人肥胖预防与管理临床指南
|
||||||
|
- 肥胖合并高血压/糖尿病/多囊卵巢综合征等并发症的个体化干预规范
|
||||||
|
- 医学减重个案管理师执业标准、随访规范、风险预警指征 所有核心知识我会保存到持久化记忆，使用时严格遵循规范不会出错。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
### 第二步：对齐你的专属工作要求（需要你提供相关资料）
|
||||||
|
|
||||||
|
你可以把你常用的工作资料发给我，我会全部学习固化：
|
||||||
|
|
||||||
|
1. 你的机构内部工作规范、减重方案模板、个案评估表/随访记录表模板
|
||||||
|
2. 过往你处理过的优质个案案例（可以隐去隐私信息）
|
||||||
|
3. 你需要我输出的报告格式、需要遵守的特殊要求 我会把这些规则做成专属技能，后续处理任务100%符合你的工作标准。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
### 第三步：实操迭代优化
|
||||||
|
|
||||||
|
你可以先拿少量测试个案让我尝试处理，你给出反馈后我会快速修正优化，几轮之后就能达到你要求的处理精度。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
### 学完后我可以帮你完成的工作：
|
||||||
|
|
||||||
|
✅ 个案初筛：自动根据用户的体检数据、基础病史做减重风险评估，判断适应症/禁忌症 ✅ 方案生成：根据个体情况生成个性化的饮食/运动/行为干预方案，特殊合并症人群自动适配特殊要求 ✅ 随访管理：自动生成随访计划、随访话术，可配置定时任务自动给你推送当日待跟进个案清单 ✅ 数据统计：自动统计个案的减重达标率、依从率、不良反应发生率等数据，生成汇总报表
|
||||||
|
|
||||||
|
你看这个学习路径是否符合你的预期？有没有需要我优先学习的资料或者重点侧重的功能？
|
||||||
|
|
||||||
|
## mini 机器
|
||||||
|
|
||||||
|
https://github.com/NousResearch/hermes-agent
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
```
|
||||||
|
第一步：创建虚拟环境（彻底避开系统限制）
|
||||||
|
bash
|
||||||
|
运行
|
||||||
|
cd ~/hermes-agent-main
|
||||||
|
python3 -m venv venv
|
||||||
|
source venv/bin/activate
|
||||||
|
第二步：安装所有依赖（不会再报错！）
|
||||||
|
bash
|
||||||
|
运行
|
||||||
|
pip install -r requirements.txt
|
||||||
|
第三步：运行项目
|
||||||
|
bash
|
||||||
|
运行
|
||||||
|
./hermes
|
||||||
|
为什么这个方法一定成功？
|
||||||
|
之前报错：因为你直接用系统 Python，系统包不允许被 pip 修改 / 卸载
|
||||||
|
现在方法：创建了独立干净的 Python 环境，没有任何权限冲突
|
||||||
|
所有包都能正常安装，不会再出现任何报错
|
||||||
|
以后每次使用前，先激活环境
|
||||||
|
每次新开终端，只需要先运行这一行：
|
||||||
|
bash
|
||||||
|
运行
|
||||||
|
source ~/hermes-agent-main/venv/bin/activate
|
||||||
|
然后再运行：
|
||||||
|
bash
|
||||||
|
运行
|
||||||
|
./hermes
|
||||||
|
总结
|
||||||
|
执行这三行，彻底解决所有问题：
|
||||||
|
bash
|
||||||
|
运行
|
||||||
|
cd ~/hermes-agent-main
|
||||||
|
python3 -m venv venv
|
||||||
|
source venv/bin/activate
|
||||||
|
pip install -r requirements.txt
|
||||||
|
./hermes
|
||||||
|
再也不会有 ModuleNotFound / 无法卸载 / 权限报错 等问题
|
||||||
|
这是 Linux 上运行 Python 项目的标准正确方法
|
||||||
|
```
|
||||||
|
|
||||||
@@ -0,0 +1,102 @@
|
|||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
导出 firefox 书签
|
||||||
|
|
||||||
|
备份 typora 的主题
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
```
|
||||||
|
==============
|
||||||
|
备份 ：
|
||||||
|
步骤1：安全移除并重新连接
|
||||||
|
|
||||||
|
# 1. 确保设备未挂载
|
||||||
|
sudo umount /dev/sda1 2>/dev/null
|
||||||
|
|
||||||
|
# 2. 安全移除
|
||||||
|
sudo udisksctl power-off -b /dev/sda
|
||||||
|
|
||||||
|
# 3. 等待 5 秒，重新插拔 USB
|
||||||
|
sleep 5
|
||||||
|
# （手动重新插拔 USB 线）
|
||||||
|
|
||||||
|
步骤2：验证 UAS 已禁用
|
||||||
|
|
||||||
|
# 查看 USB 设备模式
|
||||||
|
sudo dmesg | tail -20
|
||||||
|
# 应该看到 "usb-storage" 而不是 "uas"
|
||||||
|
|
||||||
|
# 或查看 SCSI 主机
|
||||||
|
sudo lsscsi -t
|
||||||
|
# 应该显示 "usb: " 而不是 "uas: "
|
||||||
|
|
||||||
|
步骤3：重新分区和格式化
|
||||||
|
|
||||||
|
# 1. 创建 GPT 分区表
|
||||||
|
sudo parted /dev/sda --script mklabel gpt
|
||||||
|
|
||||||
|
# 2. 创建单个分区
|
||||||
|
sudo parted /dev/sda --script mkpart primary 0% 100%
|
||||||
|
|
||||||
|
# 3. 等待分区识别
|
||||||
|
sleep 2
|
||||||
|
sudo partprobe /dev/sda
|
||||||
|
|
||||||
|
# 4. 格式化为 ext4（带优化）
|
||||||
|
sudo mkfs.ext4 -F -L "BACKUP_DISK" -m 0 /dev/sda1
|
||||||
|
|
||||||
|
# 5. 检查结果
|
||||||
|
sudo blkid /dev/sda1
|
||||||
|
sudo fsck -f /dev/sda1
|
||||||
|
|
||||||
|
步骤4：优化挂载参数
|
||||||
|
|
||||||
|
# 1. 创建挂载点
|
||||||
|
sudo mkdir -p /mnt/backup
|
||||||
|
|
||||||
|
# 2. 挂载（使用稳定参数）
|
||||||
|
sudo mount -o noatime,nodiratime,errors=remount-ro /dev/sda1 /mnt/backup
|
||||||
|
|
||||||
|
# 3. 验证
|
||||||
|
df -h /mnt/backup
|
||||||
|
mount | grep sda1
|
||||||
|
|
||||||
|
步骤5：使用稳定的备份策略
|
||||||
|
|
||||||
|
# 1. 创建备份脚本
|
||||||
|
cat > /tmp/backup.sh << 'EOF'
|
||||||
|
#!/bin/bash
|
||||||
|
LOG="/tmp/backup_$(date +%Y%m%d_%H%M%S).log"
|
||||||
|
{
|
||||||
|
echo "=== 备份开始: $(date) ==="
|
||||||
|
|
||||||
|
# 分阶段备份，从大目录开始
|
||||||
|
echo "阶段1: 备份主目录"
|
||||||
|
rsync -av --no-owner --no-group --timeout=180 \
|
||||||
|
--exclude='/.cache/' \
|
||||||
|
--exclude='/.local/share/Trash/' \
|
||||||
|
/home/ /mnt/backup/
|
||||||
|
|
||||||
|
echo "阶段2: 备份缓存目录（排除浏览器大缓存）"
|
||||||
|
rsync -av --no-owner --no-group --timeout=180 \
|
||||||
|
--exclude='chromium/Default/Cache/' \
|
||||||
|
--exclude='google-chrome/Default/Cache/' \
|
||||||
|
--exclude='*/.cache/yay/pkg/' \
|
||||||
|
/home/*/.cache/ /mnt/backup/*/.cache/
|
||||||
|
|
||||||
|
echo "=== 备份完成: $(date) ==="
|
||||||
|
} > "$LOG" 2>&1 &
|
||||||
|
EOF
|
||||||
|
|
||||||
|
# 2. 执行备份
|
||||||
|
sudo bash /tmp/backup.sh
|
||||||
|
|
||||||
|
# 3. 查看日志
|
||||||
|
tail -f /tmp/backup_*.log
|
||||||
|
```
|
||||||
|
|
||||||
+271
@@ -0,0 +1,271 @@
|
|||||||
|
# 电子秤图片识别系统设计文档
|
||||||
|
|
||||||
|
> 版本：v1.0
|
||||||
|
> 最后更新：2026-05-20
|
||||||
|
> 状态：草案（待迭代）
|
||||||
|
|
||||||
|
## 1. 项目背景
|
||||||
|
|
||||||
|
### 1.1 业务场景
|
||||||
|
用户拍摄电子秤显示器图片，需自动提取**读数（数字 + 单位）**用于数据录入或核对。
|
||||||
|
图片来源包括家用体重秤、台秤、智能手机 App 截图等。
|
||||||
|
|
||||||
|
### 1.2 现状
|
||||||
|
- 现有脚本 `preprocess.py` 仅完成 ROI 裁剪 + 对比度增强，无识别能力
|
||||||
|
- 122 张样本通过人工 + 多模态模型识别，准确率约 80%，主要误差来源见 §2
|
||||||
|
|
||||||
|
### 1.3 目标
|
||||||
|
- **短期**：将自动识别准确率提升至 **≥85%**，剩余由人工核对
|
||||||
|
- **中期**：达到 **≥95%**，仅极端模糊/异常显示需要人工
|
||||||
|
- **长期**：支持任意品牌秤的型号自动识别 + 单位歧义消除
|
||||||
|
|
||||||
|
|
||||||
|
## 2. 问题分析（基于 122 张样本）
|
||||||
|
|
||||||
|
### 2.1 误差来源分布
|
||||||
|
|
||||||
|
| 误差类型 | 占比 | 典型样例 | 严重性 |
|
||||||
|
|---|---|---|---|
|
||||||
|
| 拍摄方向倒置 | ~25% | 倒着读"119.35"识别为反向 | 🔴 高 |
|
||||||
|
| ROI 裁切过紧 | ~12% | 只剩"6"丢失其余数字 | 🔴 高 |
|
||||||
|
| 7段数码管字符混淆 | ~16% | `7↔L`、`2↔5`、`6↔9` | 🟡 中 |
|
||||||
|
| 显示器反光/模糊 | ~8% | 粉色秤小屏幕 | 🟡 中 |
|
||||||
|
| 单位歧义（kg/斤） | ~5% | 小米秤同显示两种模式 | 🟢 低 |
|
||||||
|
| 显示异常（启动/出错） | ~2% | 段笔画不完整 | 🟢 低 |
|
||||||
|
|
||||||
|
### 2.2 设备类型分布
|
||||||
|
|
||||||
|
| 设备类型 | 占比 | 显示特征 | 难点 |
|
||||||
|
|---|---|---|---|
|
||||||
|
| 蓝背光 LCD 体重秤 | ~40% | 黑字蓝底 | 反光、自适应阈值难 |
|
||||||
|
| LED 数码管秤（橙/白） | ~20% | 高对比度发光数字 | 易倒置拍摄 |
|
||||||
|
| 香山台秤（多屏） | ~10% | 黑底白字三段 LCD | 多窗口干扰 |
|
||||||
|
| App 截图 | ~25% | 高清，多字段 | 需要定位"主体重"字段 |
|
||||||
|
| 其他（粉色、HUAWEI、LEFU 等） | ~5% | 各异 | 长尾问题 |
|
||||||
|
|
||||||
|
|
||||||
|
## 3. 技术方案
|
||||||
|
|
||||||
|
### 3.1 整体 Pipeline
|
||||||
|
|
||||||
|
```
|
||||||
|
┌─────────┐ ┌──────────┐ ┌────────┐ ┌────────┐ ┌────────┐ ┌────────┐
|
||||||
|
│ 原始图片 │ → │ EXIF校正 │ → │ ROI检测 │ → │ 方向校正│ → │ 增强 │ → │ OCR识别 │
|
||||||
|
└─────────┘ └──────────┘ └────────┘ └────────┘ └────────┘ └────────┘
|
||||||
|
↓
|
||||||
|
┌──────────────────┐
|
||||||
|
│ 数值+单位解析 │
|
||||||
|
│ 合理性校验 │
|
||||||
|
└──────────────────┘
|
||||||
|
↓
|
||||||
|
┌──────────────────┐
|
||||||
|
│ 输出：值/单位/置信│
|
||||||
|
└──────────────────┘
|
||||||
|
```
|
||||||
|
|
||||||
|
### 3.2 各阶段技术选型
|
||||||
|
|
||||||
|
#### Step 1 — EXIF 方向校正
|
||||||
|
**目的**：手机拍摄的 JPG 自带 Orientation 元数据，可零成本转正。
|
||||||
|
**方案**：`PIL.ExifTags` 读取 Orientation 标签，按 3/6/8 三种 case 旋转。
|
||||||
|
**预期收益**：解决约 30% 的方向问题，几乎无成本。
|
||||||
|
|
||||||
|
#### Step 2 — ROI 检测（屏幕区域定位）
|
||||||
|
**目的**：从全图裁出显示器矩形，降低 OCR 干扰。
|
||||||
|
**方案**：4 策略加权打分：
|
||||||
|
- **策略 A**：LED 高亮 + 低饱和（白/黄数码管）— boost ×1.3
|
||||||
|
- **策略 B**：蓝色背光 LCD（HSV: H∈[85,140]）
|
||||||
|
- **策略 C**：白色/浅色 LCD（V>180, S<60）
|
||||||
|
- **策略 D**：Canny 边缘 + 横向膨胀（用于黑底白字台秤）— boost ×0.8
|
||||||
|
|
||||||
|
**打分维度**：面积比、宽高比、对比度、亮度。
|
||||||
|
**风险**：当前 margin 15% 偏紧，新版调至 20%；仍需观察。
|
||||||
|
|
||||||
|
#### Step 3 — 方向校正（4 向暴力 + 评分）
|
||||||
|
**目的**：解决倒置/侧拍。
|
||||||
|
**评分项**：
|
||||||
|
1. **形状先验**：显示器一般 `w>h`（横向） → +1
|
||||||
|
2. **7段重力特征**：水平投影下 1/3 行 ≥ 上 1/3 行 → +1（数字朝上的典型分布）
|
||||||
|
3. **Tesseract OSD**：若返回 `rotate=0` → +2（强证据）
|
||||||
|
|
||||||
|
**选择**：取 0°/90°/180°/270° 中评分最高的方向。
|
||||||
|
**优势**：即使 OSD 失败，仍有 7段特征兜底。
|
||||||
|
|
||||||
|
#### Step 4 — 图像增强
|
||||||
|
**目的**：让 OCR 识别 7 段数码管。
|
||||||
|
**关键步骤**：
|
||||||
|
1. CLAHE（自适应直方图均衡化）
|
||||||
|
2. 极性自动判断：若图像均值<127 视为暗背景，反转
|
||||||
|
3. 自适应阈值（Gaussian, blockSize=25）
|
||||||
|
4. **关键**：2×2 核膨胀 1 次 — 连接 7 段间隙，否则 Tesseract 会把一个数字切成多字符
|
||||||
|
|
||||||
|
#### Step 5 — OCR 识别（多后端）
|
||||||
|
| 后端 | 优势 | 劣势 | 推荐场景 |
|
||||||
|
|---|---|---|---|
|
||||||
|
| **Tesseract** | 易部署、有 LCD 字模 | 7段需调参 | 默认 |
|
||||||
|
| **SSOCR** | 专为 7段设计 | 仅命令行、需手编译 | 干净 LED 显示 |
|
||||||
|
| **PaddleOCR** | 中文+数字皆强 | 体积大 | App 截图 |
|
||||||
|
| **自训 CNN** | 准确率天花板高 | 需训练数据 | 长期投入 |
|
||||||
|
|
||||||
|
**当前默认**：Tesseract，PSM=7（单行），whitelist 限制为数字 + 单位字符。
|
||||||
|
|
||||||
|
#### Step 6 — 数值合理性校验
|
||||||
|
**正则提取**：`(\d{1,3}\.?\d{0,2})\s*(kg|KG|公斤|千克|斤|两|lb)?`
|
||||||
|
**合理范围**：
|
||||||
|
- kg / 公斤 / 千克：10–200
|
||||||
|
- 斤 / 两：20–400
|
||||||
|
- lb：20–440
|
||||||
|
|
||||||
|
**作用**：拦截 OCR 典型错误（如把 `1` 错认 `7` 得到 170kg 时直接 reject）。
|
||||||
|
|
||||||
|
|
||||||
|
## 4. 文件结构
|
||||||
|
|
||||||
|
```
|
||||||
|
新建文件夹 1/
|
||||||
|
├── 未识别/ # 待处理原图
|
||||||
|
├── 预处理/ # 旧版输出（v1）
|
||||||
|
├── 预处理v2/ # 新版输出
|
||||||
|
│ ├── *.png # 各图的二值化预处理结果
|
||||||
|
│ └── _results.csv # 识别汇总（文件名/旋转/OCR/置信度/解析值）
|
||||||
|
├── preprocess_v2.py # 新版（预处理 + 识别 + 校验）
|
||||||
|
└── 设计文档.md # 本文档
|
||||||
|
```
|
||||||
|
|
||||||
|
|
||||||
|
## 5. 评估指标
|
||||||
|
|
||||||
|
### 5.1 准确率指标
|
||||||
|
- **Top-1 准确率**：单次识别完全正确（数字 + 单位都对）的比例
|
||||||
|
- **数字准确率**：仅数字正确（容忍单位错误）
|
||||||
|
- **±5% 容忍准确率**：识别值与真值相对误差 ≤5%（避免小数位识别错带来的负面感受）
|
||||||
|
|
||||||
|
### 5.2 召回率 / 拒识率
|
||||||
|
- **拒识率**：合理性校验后输出"无效"的比例（高拒识率好过错误识别）
|
||||||
|
- **置信度阈值**：建议 Tesseract conf > 60 才接受，否则降级人工
|
||||||
|
|
||||||
|
### 5.3 性能
|
||||||
|
- 单图处理时间 < 1s（CPU 单线程）
|
||||||
|
- 122 张全量处理 < 2 分钟
|
||||||
|
|
||||||
|
|
||||||
|
## 6. 已知局限与待解决
|
||||||
|
|
||||||
|
| # | 问题 | 当前对策 | 长期改进 |
|
||||||
|
|---|---|---|---|
|
||||||
|
| L1 | 粉色秤显示器尺寸过小（占图 <1%） | margin 放宽 | 改用超分辨率（ESRGAN）预处理 |
|
||||||
|
| L2 | 启动画面/异常显示误识 | 合理性校验拦截 | 加一个"是否合法读数"的分类器 |
|
||||||
|
| L3 | 香山台秤三屏，只需重量栏 | ROI 取最大 LCD | 训练专用检测器，按字段标签裁切 |
|
||||||
|
| L4 | 小米秤 kg/斤 模式无法从显示判断 | 默认按区间猜单位 | 加品牌+型号识别（CNN 或 logo 匹配） |
|
||||||
|
| L5 | OCR 把"6/9"反向识别 | 4向暴力旋转 | 训练朝向检测器 |
|
||||||
|
| L6 | App 截图字段繁多 | 暂用通用 OCR + 选最大数字 | 训练 App 截图专用 layout 模型 |
|
||||||
|
|
||||||
|
|
||||||
|
## 7. 改进路线图
|
||||||
|
|
||||||
|
### v2.0（当前）— 通用 Pipeline
|
||||||
|
- ✅ EXIF 方向校正
|
||||||
|
- ✅ 4 策略 ROI 检测
|
||||||
|
- ✅ 4 向暴力旋转 + 评分
|
||||||
|
- ✅ Tesseract / SSOCR / PaddleOCR 三选一
|
||||||
|
- ✅ 数值合理性校验
|
||||||
|
- ✅ CSV 汇总输出
|
||||||
|
|
||||||
|
### v2.1 — 兜底机制
|
||||||
|
- [ ] 低置信度自动转人工：置信度 <60 时输出标记
|
||||||
|
- [ ] 多 OCR 后端投票（Tesseract + PaddleOCR 投票）
|
||||||
|
- [ ] 单位上下文推断：根据数字范围反推（如 50–100 多半是 kg，120+ 多半是斤）
|
||||||
|
|
||||||
|
### v2.2 — 专项优化
|
||||||
|
- [ ] **App 截图分支**：检测到 App UI 元素时走专用路径（直接定位"目标数字"色块）
|
||||||
|
- [ ] **秤品牌识别**：用图中 logo（mi、SENSSUN、HUAWEI、LEFU、HCS 等）辅助选择 OCR 参数
|
||||||
|
- [ ] **超分辨率增强**：粉色秤等小显示器先 4× 超分再识别
|
||||||
|
|
||||||
|
### v3.0 — 深度学习
|
||||||
|
- [ ] 用现有 122 张 + 持续累积构建训练集（目标 ≥1000 张）
|
||||||
|
- [ ] Fine-tune 7 段专用 CNN（参考 [Seven-Segment-OCR](https://github.com/SachaIZADI/Seven-Segment-OCR)）
|
||||||
|
- [ ] 端到端 YOLO 检测+识别一体模型（参考 Goodfellow 多位数字识别论文）
|
||||||
|
|
||||||
|
### v4.0 — 工程化
|
||||||
|
- [ ] 提供 HTTP API（FastAPI）
|
||||||
|
- [ ] 提供 Web UI 标注 + 校验工具
|
||||||
|
- [ ] 主动学习：被人工修正过的样本自动加入训练集
|
||||||
|
|
||||||
|
|
||||||
|
## 8. 测试与验证
|
||||||
|
|
||||||
|
### 8.1 当前测试集
|
||||||
|
- 122 张样本图（位于 `未识别/`，已按"识别结果.jpg"命名作为 ground truth）
|
||||||
|
- 真值来源：人工 + 多模态模型双校
|
||||||
|
- **注意**：约 10 张倒置图的真值仍可能有误差，需后续校对
|
||||||
|
|
||||||
|
### 8.2 验证流程
|
||||||
|
```bash
|
||||||
|
# 1. 跑识别
|
||||||
|
python preprocess_v2.py --backend tesseract
|
||||||
|
|
||||||
|
# 2. 对照真值（文件名即真值）
|
||||||
|
python evaluate.py # 待实现：从文件名提取真值，与 _results.csv 比对
|
||||||
|
```
|
||||||
|
|
||||||
|
### 8.3 验收标准（v2.0）
|
||||||
|
- Top-1 准确率 ≥ 70%
|
||||||
|
- 数字准确率 ≥ 80%
|
||||||
|
- ±5% 容忍准确率 ≥ 85%
|
||||||
|
- 拒识率 ≤ 20%（剩余转人工）
|
||||||
|
|
||||||
|
|
||||||
|
## 9. 依赖
|
||||||
|
|
||||||
|
### 必装
|
||||||
|
```bash
|
||||||
|
pip install opencv-python pillow pytesseract imutils numpy
|
||||||
|
```
|
||||||
|
|
||||||
|
### 系统依赖（Linux）
|
||||||
|
```bash
|
||||||
|
sudo apt install tesseract-ocr tesseract-ocr-chi-sim
|
||||||
|
# 可选：下载 LCD 专用字模
|
||||||
|
wget https://github.com/Shreeshrii/tessdata_ssd/raw/master/ssd.traineddata
|
||||||
|
sudo mv ssd.traineddata /usr/share/tesseract-ocr/4.00/tessdata/
|
||||||
|
```
|
||||||
|
|
||||||
|
### 可选（更强后端）
|
||||||
|
```bash
|
||||||
|
pip install paddlepaddle paddleocr # PaddleOCR
|
||||||
|
sudo apt install ssocr # 7段专用 OCR（Debian/Ubuntu 自带）
|
||||||
|
```
|
||||||
|
|
||||||
|
|
||||||
|
## 10. 参考资料
|
||||||
|
|
||||||
|
### 论文
|
||||||
|
- Goodfellow et al., [Multi-digit Number Recognition from Street View Imagery using Deep CNNs](https://arxiv.org/abs/1312.6082)
|
||||||
|
|
||||||
|
### 开源项目
|
||||||
|
- [SSOCR](https://www.unix-ag.uni-kl.de/~auerswal/ssocr/) — 专用 7段 OCR（C）
|
||||||
|
- [tessdata_ssd](https://github.com/Shreeshrii/tessdata_ssd) — Tesseract 7段字模
|
||||||
|
- [LCD-OCR](https://github.com/DevashishPrasad/LCD-OCR) — Tesseract + OpenCV 流水线
|
||||||
|
- [Seven-Segment-OCR](https://github.com/SachaIZADI/Seven-Segment-OCR) — CNN/MNIST 风格
|
||||||
|
- [seven-segment-ocr](https://github.com/renjithsasidharan/seven-segment-ocr) — TensorFlow Lite
|
||||||
|
|
||||||
|
### 工程文章
|
||||||
|
- [PyImageSearch — Correcting Text Orientation with Tesseract](https://pyimagesearch.com/2022/01/31/correcting-text-orientation-with-tesseract-and-python/)
|
||||||
|
- [Medium — Correct image orientation using Pytesseract + Imutils](https://medium.com/@birenmer/correct-image-orientation-using-python-pytesseract-and-imutils-5a524d386857)
|
||||||
|
|
||||||
|
|
||||||
|
## 11. 维护与协作
|
||||||
|
|
||||||
|
### 11.1 文档维护
|
||||||
|
- 每次方案变更需在 §7 路线图打勾，并写明版本号
|
||||||
|
- 新增已知问题加入 §6 已知局限表
|
||||||
|
- 重大架构调整需更新 §3 Pipeline 图
|
||||||
|
|
||||||
|
### 11.2 代码维护
|
||||||
|
- `preprocess.py` 保留作为 v1 基准（不再改动）
|
||||||
|
- 新增功能在 `preprocess_v2.py` 上演进，重大版本切到 `preprocess_v3.py`
|
||||||
|
- 实验性功能放 `experiments/` 子目录
|
||||||
|
|
||||||
|
### 11.3 数据维护
|
||||||
|
- 新增的真值样本放 `未识别/` 目录，文件名即真值
|
||||||
|
- 误识别的样本单独标记，作为难例集合（后续训练用）
|
||||||
Reference in New Issue
Block a user