feat: [manager]feature:App/Account Controller compatible with Chinese and English #wqh

* feat: MonitorsController Chinese and English support #huacheng

* feat: [manager]feature:Delete notification operation compatibility query is empty  #huacheng

* feat: [manager,alert,collector,common]feature:Modify monitoring and add transaction support. Monitoring compatible with Chinese and English #wqh

Co-authored-by: tomsun28 <tomsun28@outlook.com>

.github/FUNDING.yml

@@ -0,0 +1,3 @@
+# These are supported funding model platforms
+
+custom: ['https://hertzbeat.com/docs/others/sponsor']

.github/ISSUE_TEMPLATE/bug_report.md

@@ -0,0 +1,31 @@
+---
+name: Bug report
+about: Create a report to help us improve
+title: ''
+labels: bug
+assignees: ''
+
+---
+
+**Describe the bug**
+A clear and concise description of what the bug is.
+
+**Used Version**  
+the version , tag or branch used  
+
+**To Reproduce**
+Steps to reproduce the behavior:
+1. Go to '...'
+2. Click on '....'
+3. Scroll down to '....'
+4. See error
+
+**Expected behavior**
+A clear and concise description of what you expected to happen.
+
+**Screenshots**
+If applicable, add screenshots to help explain your problem.
+
+
+**Additional context**
+Add any other context about the problem here.

.github/ISSUE_TEMPLATE/config.yml

@@ -0,0 +1,8 @@
+blank_issues_enabled: true
+contact_links:
+  - name: Community Support
+    url: https://github.com/dromara/hertzbeat/discussions
+    about: Please ask and answer questions here.
+  - name: Security Bug Bounty
+    url: https://github.com/dromara/hertzbeat/issues
+    about: Please report security vulnerabilities here.

.github/ISSUE_TEMPLATE/custom.md

@@ -0,0 +1,10 @@
+---
+name: Custom issue template
+about: Describe this issue template's purpose here.
+title: ''
+labels: ''
+assignees: ''
+
+---
+
+

.github/ISSUE_TEMPLATE/feature_request.md

@@ -0,0 +1,20 @@
+---
+name: Feature request
+about: Suggest an idea for this project
+title: ''
+labels: enhancement
+assignees: ''
+
+---
+
+**Is your feature request related to a problem? Please describe.**
+A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
+
+**Describe the solution you'd like**
+A clear and concise description of what you want to happen.
+
+**Describe alternatives you've considered**
+A clear and concise description of any alternative solutions or features you've considered.
+
+**Additional context**
+Add any other context or screenshots about the feature request here.

.github/workflows/codeql-analysis.yml

@@ -0,0 +1,67 @@
+# For most projects, this workflow file will not need changing; you simply need
+# to commit it to your repository.
+#
+# You may wish to alter this file to override the set of languages analyzed,
+# or to provide custom queries or build logic.
+#
+# ******** NOTE ********
+# We have attempted to detect the languages in your repository. Please check
+# the `language` matrix defined below to confirm you have the correct set of
+# supported CodeQL languages.
+#
+name: "CodeQL"
+
+on:
+  push:
+    branches: [ master ]
+  pull_request:
+    # The branches below must be a subset of the branches above
+    branches: [ master ]
+  schedule:
+    - cron: '21 13 * * 4'
+
+jobs:
+  analyze:
+    name: Analyze
+    runs-on: ubuntu-latest
+
+    strategy:
+      fail-fast: false
+      matrix:
+        language: [ 'java' ]
+        # CodeQL supports [ 'cpp', 'csharp', 'go', 'java', 'javascript', 'python' ]
+        # Learn more:
+        # https://docs.github.com/en/free-pro-team@latest/github/finding-security-vulnerabilities-and-errors-in-your-code/configuring-code-scanning#changing-the-languages-that-are-analyzed
+
+    steps:
+    - name: Checkout repository
+      uses: actions/checkout@v2
+
+    # Initializes the CodeQL tools for scanning.
+    - name: Initialize CodeQL
+      uses: github/codeql-action/init@v1
+      with:
+        languages: ${{ matrix.language }}
+        # If you wish to specify custom queries, you can do so here or in a config file.
+        # By default, queries listed here will override any specified in a config file.
+        # Prefix the list here with "+" to use these queries and those in the config file.
+        # queries: ./path/to/local/query, your-org/your-repo/queries@main
+
+    # Autobuild attempts to build any compiled languages  (C/C++, C#, or Java).
+    # If this step fails, then you should remove it and run the build manually (see below)
+    - name: Autobuild
+      uses: github/codeql-action/autobuild@v1
+
+    # ℹ️ Command-line programs to run using the OS shell.
+    # 📚 https://git.io/JvXDl
+
+    # ✏️ If the Autobuild fails above, remove it and uncomment the following three lines
+    #    and modify them (or add more) to build your code if your project
+    #    uses a compiled language
+
+    #- run: |
+    #   make bootstrap
+    #   make release
+
+    - name: Perform CodeQL Analysis
+      uses: github/codeql-action/analyze@v1

.github/workflows/issues-translator.yml

@@ -0,0 +1,12 @@
+name: 'issues-translator'
+on:
+  issue_comment:
+    types: [created]
+  issues:
+    types: [opened]
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: tomsun28/issues-translate-action@v2.6

.github/workflows/maven-build.yml

@@ -0,0 +1,24 @@
+# This workflow will build a Java project with Maven
+# For more information see: https://help.github.com/actions/language-and-framework-guides/building-and-testing-java-with-maven
+
+name: Java CI with Maven
+
+on:
+  push:
+    branches: [ master ]
+  pull_request:
+    branches: [ master ]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v2
+    - name: Set up JDK 1.8
+      uses: actions/setup-java@v1
+      with:
+        java-version: 1.8
+    - name: Build with Maven
+      run: mvn -B package --file pom.xml

.gitignore

@@ -37,4 +37,10 @@ nbdist/
 ### VS Code ###
 .vscode/
 
+# dependencies
+node_modules
+.docusaurus
+yarn.lock
+
+# debug env
 application-dev.yml

CONTRIBUTING.md

@@ -0,0 +1,62 @@
+参与贡献  
+=======================================
+
+非常欢迎参与项目贡献，我们致力于维护一个互相帮助的快乐社区。
+
+### 模块
+
+- **[manager](https://github.com/dromara/hertzbeat/tree/master/manager)** 提供监控管理,系统管理基础服务
+> 提供对监控的管理，监控应用配置的管理，系统用户租户后台管理等。
+- **[collector](https://github.com/dromara/hertzbeat/tree/master/collector)** 提供监控数据采集服务
+> 使用通用协议远程采集获取对端指标数据。
+- **[scheduler](https://github.com/dromara/hertzbeat/tree/master/scheduler)** 提供监控任务调度服务
+> 采集任务管理，一次性任务和周期性任务的调度分发。
+- **[warehouse](https://github.com/dromara/hertzbeat/tree/master/warehouse)** 提供监控数据仓储服务
+> 采集指标结果数据管理，数据落盘，查询，计算统计。
+- **[alerter](https://github.com/dromara/hertzbeat/tree/master/alerter)** 提供告警服务
+> 告警计算触发，监控状态联动，告警配置，告警通知。
+- **[web-app](https://github.com/dromara/hertzbeat/tree/master/web-app)** 提供可视化控制台页面
+> 监控告警系统可视化控制台前端
+
+![hertzBeat](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/docs/hertzbeat-stru.svg)
+
+## 如何贡献?
+
+我们不仅仅接收代码的贡献提交，您也可以通过提交文档的更新或者BUG的报告来参与社区贡献。
+
+如果是新的贡献者，请首先了解参考仓库提交Issues,提交Pull Requests如何工作。
+
+https://github.com/dromara/hertzbeat/issues     
+https://github.com/dromara/hertzbeat/pulls   
+https://gitee.com/dromara/hertzbeat/issues   
+https://gitee.com/dromara/hertzbeat/pulls  
+
+## 本地代码工程启动   
+
+此为前后端分离项目，本地代码启动需将后端[manager](manager)和前端[web-app](web-app)分别启动生效。  
+
+### 后端启动  
+
+1. 部署启动依赖服务`MYSQL`和`TDengine`数据库    
+2. 需要`maven3+`和`java8+`环境    
+3. 修改配置文件的依赖服务地址等信息-`manager/src/main/resources/application.yml`   
+4. 启动`manager`服务 `manager/src/main/java/com/usthe/manager/Manager.java`   
+
+### 前端启动   
+
+1. 需要nodejs npm环境   
+   下载地址：https://nodejs.org/en/download   
+2. 安装yarn `npm install -g yarn`    
+3. 在前端工程目录web-app下执行 `yarn install`   
+4. 全局安装angular-cli `npm install -g @angular/cli@12 --registry=https://registry.npm.taobao.org`   
+5. 待本地后端启动后，在web-app目录下启动本地前端 `ng serve --open`    
+6. 浏览器访问 localhost:4200 即可开始   
+
+## 加入交流      
+ 
+[Github Discussion](https://github.com/dromara/hertzbeat/discussions)               
+加微信号 tan-cloud 拉您进微信交流群      
+加QQ群号 718618151 进QQ交流群, 验证信息: tancloud      
+微信公众号：tancloudtech        
+[Dromara社区网站](https://dromara.org/)      
+[HertzBeat用户网站](https://support.qq.com/products/379369)  

README.md

@@ -6,23 +6,24 @@
 
 [comment]: <> (<img alt="sureness" src="https://cdn.jsdelivr.net/gh/dromara/hertzbeat/home/static/img/hertzbeat-brand.svg" width="300">)
 
-## HertzBeat 赫兹跳动         
+## HertzBeat 赫兹跳动 | [English Documentation](README_EN.md)           
 
-> 易用友好的高性能监控告警系统。
+> 易用友好的监控告警系统。
 
 ![tan-cloud](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/badge/web-monitor.svg)
 ![tan-cloud](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/badge/ping-connect.svg)
 ![tan-cloud](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/badge/port-available.svg)
 ![tan-cloud](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/badge/database-monitor.svg)
+![tan-cloud](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/badge/os-monitor.svg)
 ![tan-cloud](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/badge/custom-monitor.svg)
 ![tan-cloud](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/badge/threshold.svg)
 ![tan-cloud](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/badge/alert.svg)
 
-**官网: [hertzbeat.com](https://hertzBeat.com) | [tancloud.cn](https://tancloud.cn)**
+**官网: [hertzbeat.com](https://hertzbeat.com) | [tancloud.cn](https://tancloud.cn)**
 
 ## 🎡 <font color="green">介绍</font>
 
-> [HertzBeat赫兹跳动](https://github.com/dromara/hertzbeat) 是由[Dromara](https://dromara.org)孵化，[TanCloud](https://tancloud.cn)开源的一个支持网站，API，PING，端口，数据库等监控类型，拥有易用友好的可视化操作界面的开源监控告警项目。  
+> [HertzBeat赫兹跳动](https://github.com/dromara/hertzbeat) 是由[Dromara](https://dromara.org)孵化，[TanCloud](https://tancloud.cn)开源的一个支持网站，API，PING，端口，数据库，操作系统等监控类型，拥有易用友好的可视化操作界面的开源监控告警项目。  
 > 我们也提供了对应的 **[SAAS版本监控云](https://console.tancloud.cn)**，中小团队和个人无需再为了监控自己的网站资源，而去部署一套繁琐的监控系统，**[登录即可免费开始](https://console.tancloud.cn)**。     
 > HertzBeat 支持[自定义监控](https://hertzbeat.com/docs/advanced/extend-point) ,只用通过配置YML文件我们就可以自定义需要的监控类型和指标，来满足常见的个性化需求。   
 > HertzBeat 模块化，`manager, collector, scheduler, warehouse, alerter` 各个模块解耦合，方便理解与定制开发。       
@@ -34,7 +35,7 @@
 
 ----   
 
-[![tancloud](tancloud.gif)](https://www.bilibili.com/video/BV1Vi4y1f7i8)           
+[![tancloud](tancloud.gif)](https://www.bilibili.com/video/BV1DY4y1i7ts)             
 
 ----   
 
@@ -59,7 +60,7 @@
 ## 🐕 快速开始  
 
 - 如果您不想部署而是直接使用，我们提供SAAS监控云-[TanCloud探云](https://console.tancloud.cn)，即刻 **[登录注册](https://console.tancloud.cn)** 免费使用。
-- 如果您是想将HertzBeat部署到内网环境搭建监控系统，请参考下面的[部署文档](https://hertzbeat.com/docs/start/quickstart)进行操作。   
+- 如果您是想将HertzBeat部署到内网环境搭建监控系统，请参考下面的 [部署文档](https://hertzbeat.com/docs/start/quickstart) 进行操作。   
 
 ### 🐵 依赖服务部署
 
@@ -67,7 +68,7 @@
 
 ##### 安装MYSQL
 1. docker安装MYSQl  
-   `docker run -d --name mysql -p 3306:3306 -e MYSQL_ROOT_PASSWORD=123456 mysql`
+   `docker run -d --name mysql -p 3306:3306 -e MYSQL_ROOT_PASSWORD=123456 mysql:5.7`
 2. 创建名称为hertzbeat的数据库
 3. 执行位于项目仓库/script/sql/目录下的数据库脚本 [schema.sql](https://gitee.com/dromara/hertzbeat/raw/master/script/sql/schema.sql)
 
@@ -75,7 +76,7 @@
 
 ##### 安装TDengine
 1. docker安装TDengine   
-   `docker run -d -p 6030-6049:6030-6049 -p 6030-6049:6030-6049/udp --name tdengine tdengine/tdengine`
+   `docker run -d -p 6030-6049:6030-6049 -p 6030-6049:6030-6049/udp --name tdengine tdengine/tdengine:2.4.0.12`
 2. 创建名称为hertzbeat的数据库
 
 详细步骤参考 [依赖服务TDengine安装初始化](https://hertzbeat.com/docs/start/tdengine-init)    
@@ -83,18 +84,33 @@
 ### 🍞 HertzBeat安装
 > HertzBeat支持通过源码安装启动，Docker容器运行和安装包方式安装部署。
 
-##### Docker方式快速安装
+##### 方式一：Docker方式快速安装
 `docker run -d -p 1157:1157 -v /opt/application.yml:/opt/hertzbeat/config/application.yml --name hertzbeat tancloud/hertzbeat:[版本tag]`
 
 详细步骤参考 [通过Docker方式安装HertzBeat](https://hertzbeat.com/docs/start/docker-deploy)    
 
-##### 通过安装包安装
+##### 方式二：通过安装包安装
 1. 下载您系统环境对应的安装包 [GITEE Release](https://gitee.com/dromara/hertzbeat/releases) [GITHUB Release](https://github.com/dromara/hertzbeat/releases)
 2. 配置HertzBeat的配置文件 hertzbeat/config/application.yml
 3. 部署启动 `$ ./startup.sh `
+4. 浏览器访问 localhost:1157 即可开始，默认账号密码 admin/admin
 
 详细步骤参考 [通过安装包安装HertzBeat](https://hertzbeat.com/docs/start/package-deploy)   
 
+##### 方式三：本地代码启动   
+1. 此为前后端分离项目，本地代码调试需要分别启动后端工程manager和前端工程web-app  
+2. 后端：需要`maven3+`和`java8+`环境，修改YML配置信息并启动manager服务   
+3. 前端：需要`nodejs npm angular-cli`环境，待本地后端启动后，在web-app目录下启动 `ng serve --open`    
+4. 浏览器访问 localhost:4200 即可开始，默认账号密码 admin/admin
+
+详细步骤参考 [参与贡献之本地代码启动](CONTRIBUTING.md)      
+
+##### 方式四：Docker-compose统一安装hertzbeat及其依赖服务   
+
+通过 [docker-compose部署脚本](script/docker-compose) 一次性把mysql数据库,tdengine数据库和hertzbeat安装部署。   
+
+详细步骤参考 [docker-compose安装](script/docker-compose/README.md)   
+
 **HAVE FUN**
 
 ## 💬 社区交流
@@ -123,7 +139,8 @@ HertzBeat赫兹跳动为 [Dromara开源社区](https://dromara.org/) 孵化项
 
 ##### 赞助     
 
-感谢[吉实信息(构建全新的微波+光交易网络)](https://www.flarespeed.com)赞助服务器采集节点  
+感谢[吉实信息(构建全新的微波+光交易网络)](https://www.flarespeed.com) 赞助服务器采集节点     
+感谢[天上云计算(全新智慧上云)](https://www.tsyvps.com/aff/BZBEGYLX) 赞助服务器采集节点     
 
 ## 🛡️ License
 [`Apache License, Version 2.0`](https://www.apache.org/licenses/LICENSE-2.0.html)

README_EN.md

@@ -0,0 +1,148 @@
+<p align="center">
+  <a href="https://hertzbeat.com">
+     <img alt="hertzbeat" src="https://cdn.jsdelivr.net/gh/dromara/hertzbeat/home/static/img/hertzbeat-brand.svg" width="260">
+  </a>
+</p>
+
+[comment]: <> (<img alt="sureness" src="https://cdn.jsdelivr.net/gh/dromara/hertzbeat/home/static/img/hertzbeat-brand.svg" width="300">)
+
+## HertzBeat | [中文文档](README.md)   
+
+> Friendly cloud monitoring system.  
+
+![tan-cloud](https://img.shields.io/badge/web-monitor-4EB1BA)
+![tan-cloud](https://img.shields.io/badge/api-monitor-lightgrey)
+![tan-cloud](https://img.shields.io/badge/ping-connect-brightgreen)
+![tan-cloud](https://img.shields.io/badge/port-available-green)
+![tan-cloud](https://img.shields.io/badge/database-monitor-yellowgreen)
+![tan-cloud](https://img.shields.io/badge/os-monitor-yellow)
+![tan-cloud](https://img.shields.io/badge/custom-monitor-orange)
+![tan-cloud](https://img.shields.io/badge/threshold-red)
+![tan-cloud](https://img.shields.io/badge/alert-bule)
+
+**Home: [hertzbeat.com](https://hertzbeat.com) | [tancloud.cn](https://tancloud.cn)**
+
+## 🎡 <font color="green">Introduction</font>
+
+> [HertzBeat](https://github.com/dromara/hertzbeat) is an opensource monitoring and alarm project incubated by [Dromara](https://dromara.org) and open sourced by [TanCloud](https://tancloud.cn), which supports Website, API, PING, Port, Database, OS Monitor etc.        
+> We also provide **[Monitoring Cloud For Saas](https://console.tancloud.cn)**, people no longer need to deploy a cumbersome monitoring system in order to monitor their website resources. **[Sign in to get started for free](https://console.tancloud.cn)**.   
+> HertzBeat supports more liberal threshold alarm configuration (calculation expression), supports alarm notification, alarm template, email, DingDing, WeChat FeiShu and WebHook.    
+> Most important is HertzBeat supports [Custom Monitoring](https://hertzbeat.com/docs/advanced/extend-point), just by configuring the YML file, we can customize the monitoring types and metrics what we need.      
+> HertzBeat is modular, `manager, collector, scheduler, warehouse, alerter` modules are decoupled for easy understanding and custom development.  
+> Welcome to HertzBeat's [Cloud Environment TanCloud](https://console.tancloud.cn) to try and discover more.    
+> Welcome to join us to build hertzbeat together.    
+
+> `HertzBeat`'s multi-type support, easy expansion, low coupling, hope to help developers and micro teams to quickly build their own monitoring system.    
+
+----   
+
+[![tancloud](tancloud.gif)](https://www.bilibili.com/video/BV1DY4y1i7ts)             
+
+----   
+
+## 🥐 Architecture  
+
+- **[manager](https://github.com/dromara/hertzbeat/tree/master/manager)** Provide monitoring management, system management basic services.  
+> Provides monitoring management, monitoring configuration management, system user management, etc.  
+- **[collector](https://github.com/dromara/hertzbeat/tree/master/collector)** Provide metrics data collection services.
+> Use common protocols to remotely collect and obtain peer-to-peer metrics data.  
+- **[scheduler](https://github.com/dromara/hertzbeat/tree/master/scheduler)** Provide monitoring task scheduling service. 
+> Collection task management, scheduling and distribution of one-time tasks and periodic tasks.   
+- **[warehouse](https://github.com/dromara/hertzbeat/tree/master/warehouse)** Provide monitoring data warehousing services. 
+> Metrics data management, data query, calculation and statistics.  
+- **[alerter](https://github.com/dromara/hertzbeat/tree/master/alerter)** Provide alert service.  
+> Alarm calculation trigger, monitoring status linkage, alarm configuration, and alarm notification.   
+- **[web-app](https://github.com/dromara/hertzbeat/tree/master/web-app)** Provide web ui.  
+> Angular Web UI.    
+
+![hertzBeat](home/static/img/docs/hertzbeat-stru-en.svg)     
+
+
+## 🐕 Quick Start   
+
+- If you don’t want to deploy but use it directly, we provide [SAAS Monitoring Cloud-TanCloud](https://console.tancloud.cn), **[Log In And Register For Free](https://console.tancloud.cn) **. 
+- If you want to deploy HertzBeat local, please refer to the following [Deployment Documentation](https://hertzbeat.com/docs/start/quickstart) for operation.  
+
+### 🐵 Dependency Service Deployment   
+
+> HertzBeat depends at least on relational database [MYSQL5+](https://www.mysql.com/) and time series database [TDengine2+](https://www.taosdata.com/getting-started)  
+
+##### Install MYSQL  
+1. Install mysql with docker    
+   `docker run -d --name mysql -p 3306:3306 -e MYSQL_ROOT_PASSWORD=123456 mysql:5.7`
+2. Create database names `hertzbeat`   
+3. Run the database sql script [schema.sql](https://gitee.com/dromara/hertzbeat/raw/master/script/sql/schema.sql) located in the project repository `/script/sql/` directory.     
+
+For detailed steps, refer to [MYSQL Installation And Initialization](https://hertzbeat.com/docs/start/mysql-init)   
+
+##### Install TDengine
+1. Install TDengine with docker     
+   `docker run -d -p 6030-6049:6030-6049 -p 6030-6049:6030-6049/udp --name tdengine tdengine/tdengine:2.4.0.12`
+2. Create database names `hertzbeat`   
+
+For detailed steps, refer to [TDengine Installation And Initialization](https://hertzbeat.com/docs/start/tdengine-init).  
+
+### 🍞 Install HertzBeat   
+
+> HertzBeat supports installation through source code, docker or package.   
+
+##### 1：Install quickly via docker   
+`docker run -d -p 1157:1157 -v /opt/application.yml:/opt/hertzbeat/config/application.yml --name hertzbeat tancloud/hertzbeat:[版本tag]`
+
+Detailed steps refer to [Install HertzBeat via Docker](https://hertzbeat.com/docs/start/docker-deploy)   
+
+##### 2：Install via package  
+1. Download the installation package [GITEE Release](https://gitee.com/dromara/hertzbeat/releases) [GITHUB Release](https://github.com/dromara/hertzbeat/releases)
+2. Configure the HertzBeat configuration yml file `hertzbeat/config/application.yml`  
+3. Run shell `$ ./startup.sh `
+4. Access `localhost:1157` to start, default account: `admin/admin`  
+
+Detailed steps refer to [Install HertzBeat via package](https://hertzbeat.com/docs/start/package-deploy)   
+
+##### 3：Start via source code        
+1. Local source code debugging needs to start the back-end project manager and the front-end project web-app.  
+2. Backend：need `maven3+`, `java8+`, start the manager service.  
+3. Web：need `nodejs npm angular-cli` environment, Run `ng serve --open` in `web-app` directory after backend startup.  
+4. Access `localhost:4200` to start, default account: `admin/admin`  
+
+Detailed steps refer to [CONTRIBUTING](CONTRIBUTING.md)        
+
+##### 4：Install All(mysql+tdengine+hertzbeat) via Docker-compose  
+
+Install and deploy the mysql database, tdengine database and hertzbeat at one time through [docker-compose deployment script](script/docker-compose).
+
+Detailed steps refer to [docker-compose install](script/docker-compose/README.md)      
+
+**HAVE FUN**
+
+## 💬 Join discussion  
+
+HertzBeat is an incubation project of [Dromara Open Source Community](https://dromara.org/).
+
+##### WeChat Group   
+
+Add WeChat account `tan-cloud` or scan the QR code below to pull you into the WeChat group.   
+
+<img alt="tan-cloud" src="https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/docs/help/tan-cloud-wechat.jpg" width="200"/>
+
+##### QQ Group
+
+QQ group number `718618151` or scan the group QR code below, verify code: `tancloud`  
+
+<img alt="tan-cloud" src="https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/docs/help/qq-qr.jpg" width="200"/>          
+
+##### Github Discussion   
+
+Welcome to Discuss in [Github Discussion](https://github.com/dromara/hertzbeat/discussions)   
+
+##### Public WeChat      
+
+<img alt="tan-cloud" src="https://cdn.jsdelivr.net/gh/dromara/hertzbeat/home/static/img/wechat.png" width="400"/>
+
+##### Sponsor     
+
+Thanks [吉实信息(构建全新的微波+光交易网络)](https://www.flarespeed.com) sponsored server node.        
+Thanks [天上云计算(全新智慧上云)](https://www.tsyvps.com/aff/BZBEGYLX) sponsored server node.       
+
+## 🛡️ License
+[`Apache License, Version 2.0`](https://www.apache.org/licenses/LICENSE-2.0.html)

alerter/src/main/java/com/usthe/alert/calculate/CalculateAlarm.java

@@ -110,7 +110,7 @@ public class CalculateAlarm {
                 } else {
                     // 其他异常
                     alertBuilder.target(CommonConstants.AVAILABLE)
-                            .content("监控紧急可用性告警: " + metricsData.getCode().name());
+                            .content("监控可用性告警: " + metricsData.getCode().name() + " : " + metricsData.getMsg());
                     triggeredMonitorStateAlertMap.put(monitorId, metricsData.getCode());
                     dataQueue.addAlertData(alertBuilder.build());
                 }

alerter/src/main/java/com/usthe/alert/controller/AlertsController.java

@@ -30,11 +30,12 @@ import java.util.List;
 import static org.springframework.http.MediaType.APPLICATION_JSON_VALUE;
 
 /**
- * 告警管理API
+ * Alarm Management API 告警管理API
+ *
  * @author tom
  * @date 2021/12/9 10:32
  */
-@Api(tags = "告警批量管理API")
+@Api(tags = "en: Alarm batch management API, zh:告警批量管理API")
 @RestController
 @RequestMapping(path = "/alerts", produces = {APPLICATION_JSON_VALUE})
 public class AlertsController {
@@ -43,23 +44,23 @@ public class AlertsController {
     private AlertService alertService;
 
     @GetMapping
-    @ApiOperation(value = "查询告警列表", notes = "根据查询过滤项获取告警信息列表")
+    @ApiOperation(value = "Get a list of alarm information based on query filter items", notes = "根据查询过滤项获取告警信息列表")
     public ResponseEntity<Message<Page<Alert>>> getAlerts(
-            @ApiParam(value = "告警ID", example = "6565466456") @RequestParam(required = false) List<Long> ids,
-            @ApiParam(value = "告警监控对象ID", example = "6565463543") @RequestParam(required = false) Long monitorId,
-            @ApiParam(value = "告警级别", example = "6565463543") @RequestParam(required = false) Byte priority,
-            @ApiParam(value = "告警状态", example = "6565463543") @RequestParam(required = false) Byte status,
-            @ApiParam(value = "告警内容模糊查询", example = "linux") @RequestParam(required = false) String content,
-            @ApiParam(value = "排序字段，默认id", example = "name") @RequestParam(defaultValue = "id") String sort,
-            @ApiParam(value = "排序方式，asc:升序，desc:降序", example = "desc") @RequestParam(defaultValue = "desc") String order,
-            @ApiParam(value = "列表当前分页", example = "0") @RequestParam(defaultValue = "0") int pageIndex,
-            @ApiParam(value = "列表分页数量", example = "8") @RequestParam(defaultValue = "8") int pageSize) {
+            @ApiParam(value = "en: Alarm ID List,zh: 告警IDS", example = "6565466456") @RequestParam(required = false) List<Long> ids,
+            @ApiParam(value = "en: Alarm monitor object ID,zh: 告警监控对象ID", example = "6565463543") @RequestParam(required = false) Long monitorId,
+            @ApiParam(value = "en: Alarm level,zh: 告警级别", example = "6565463543") @RequestParam(required = false) Byte priority,
+            @ApiParam(value = "en: Alarm Status,zh: 告警状态", example = "6565463543") @RequestParam(required = false) Byte status,
+            @ApiParam(value = "en: Alarm content fuzzy query,zh:告警内容模糊查询", example = "linux") @RequestParam(required = false) String content,
+            @ApiParam(value = "en: Sort field, default id,zh: 排序字段，默认id", example = "name") @RequestParam(defaultValue = "id") String sort,
+            @ApiParam(value = "en: Sort Type,zh: 排序方式，asc:升序，desc:降序", example = "desc") @RequestParam(defaultValue = "desc") String order,
+            @ApiParam(value = "en: List current page,zh: 列表当前分页", example = "0") @RequestParam(defaultValue = "0") int pageIndex,
+            @ApiParam(value = "en: Number of list pagination,zh: 列表分页数量", example = "8") @RequestParam(defaultValue = "8") int pageSize) {
 
         Specification<Alert> specification = (root, query, criteriaBuilder) -> {
             List<Predicate> andList = new ArrayList<>();
 
             if (ids != null && !ids.isEmpty()) {
-                CriteriaBuilder.In<Long> inPredicate= criteriaBuilder.in(root.get("id"));
+                CriteriaBuilder.In<Long> inPredicate = criteriaBuilder.in(root.get("id"));
                 for (long id : ids) {
                     inPredicate.value(id);
                 }
@@ -92,10 +93,9 @@ public class AlertsController {
     }
 
     @DeleteMapping
-    @ApiOperation(value = "批量删除告警", notes = "根据告警ID列表批量删除告警")
+    @ApiOperation(value = "Delete alarms in batches", notes = "根据告警ID列表批量删除告警")
     public ResponseEntity<Message<Void>> deleteAlertDefines(
-            @ApiParam(value = "告警IDs", example = "6565463543") @RequestParam(required = false) List<Long> ids
-    ) {
+            @ApiParam(value = "en:Alarm List ID,zh: 告警IDs", example = "6565463543") @RequestParam(required = false) List<Long> ids) {
         if (ids != null && !ids.isEmpty()) {
             alertService.deleteAlerts(new HashSet<>(ids));
         }
@@ -104,10 +104,10 @@ public class AlertsController {
     }
 
     @PutMapping(path = "/status/{status}")
-    @ApiOperation(value = "批量修改告警状态", notes = "批量修改告警状态,设置已读未读")
+    @ApiOperation(value = "Batch modify alarm status, set read and unread", notes = "批量修改告警状态,设置已读未读")
     public ResponseEntity<Message<Void>> applyAlertDefinesStatus(
-            @ApiParam(value = "告警状态值", example = "0") @PathVariable Byte status,
-            @ApiParam(value = "告警IDs", example = "6565463543") @RequestParam(required = false) List<Long> ids) {
+            @ApiParam(value = "en:Alarm status value,zh: 告警状态值", example = "0") @PathVariable Byte status,
+            @ApiParam(value = "en:Alarm List IDS,zh: 告警IDS", example = "6565463543") @RequestParam(required = false) List<Long> ids) {
         if (ids != null && status != null && !ids.isEmpty()) {
             alertService.editAlertStatus(status, ids);
         }
@@ -116,7 +116,7 @@ public class AlertsController {
     }
 
     @GetMapping(path = "/summary")
-    @ApiOperation(value = "获取告警统计信息", notes = "获取告警统计信息")
+    @ApiOperation(value = "Get alarm statistics", notes = "获取告警统计信息")
     public ResponseEntity<Message<AlertSummary>> getAlertsSummary() {
         AlertSummary alertSummary = alertService.getAlertsSummary();
         Message<AlertSummary> message = new Message<>(alertSummary);

alerter/src/main/java/com/usthe/alert/dao/AlertDao.java

@@ -12,30 +12,35 @@ import java.util.List;
 import java.util.Set;
 
 /**
- * Alert 数据库操作
+ * Alert Database Operations Alert数据库表操作
+ *
  * @author tom
  * @date 2021/12/9 10:03
  */
 public interface AlertDao extends JpaRepository<Alert, Long>, JpaSpecificationExecutor<Alert> {
 
     /**
-     * 根据ID列表删除告警
-     * @param alertIds 告警ID列表
+     * Delete alerts based on ID list 根据ID列表删除告警
+     *
+     * @param alertIds Alert ID List  告警ID列表
      */
     void deleteAlertsByIdIn(Set<Long> alertIds);
 
     /**
      * 根据告警ID-状态值 更新告警状态
+     *
      * @param status 状态值
-     * @param ids 告警ID列表
+     * @param ids    告警ID列表
      */
     @Modifying
     @Query("update Alert set status = :status where id in :ids")
     void updateAlertsStatus(@Param(value = "status") Byte status, @Param(value = "ids") List<Long> ids);
 
     /**
+     * Query the number of unhandled alarms of each alarm severity
      * 查询各个告警级别的未处理告警数量
-     * @return 告警数量
+     *
+     * @return Number of alerts 告警数量
      */
     @Query("select new com.usthe.alert.dto.AlertPriorityNum(mo.priority, count(mo.id)) from Alert mo where mo.status = 0 group by mo.priority")
     List<AlertPriorityNum> findAlertPriorityNum();

alerter/src/main/java/com/usthe/alert/dao/AlertDefineBindDao.java

@@ -7,34 +7,43 @@ import org.springframework.data.jpa.repository.JpaSpecificationExecutor;
 import java.util.List;
 
 /**
- * AlertDefineBind 数据库操作
+ * AlertDefineBind database operations  数据库操作
+ *
  * @author tom
  * @date 2021/12/9 10:03
  */
 public interface AlertDefineBindDao extends JpaRepository<AlertDefineMonitorBind, Long>, JpaSpecificationExecutor<AlertDefineMonitorBind> {
 
     /**
+     * Delete the alarm definition and monitor association based on the alarm definition ID
      * 根据告警定义ID删除告警定义与监控关联
-     * @param alertDefineId 告警定义ID
+     *
+     * @param alertDefineId Alarm Definition ID     告警定义ID
      */
     void deleteAlertDefineBindsByAlertDefineIdEquals(Long alertDefineId);
 
     /**
+     * Deleting alarms based on monitoring IDs defines monitoring associations
      * 根据监控ID删除告警定义监控关联
-     * @param monitorId 监控ID
+     *
+     * @param monitorId Monitor Id   监控ID
      */
     void deleteAlertDefineMonitorBindsByMonitorIdEquals(Long monitorId);
 
     /**
+     * Delete alarm definition monitoring association based on monitoring ID list
      * 根据监控ID列表删除告警定义监控关联
-     * @param monitorIds 监控ID列表
+     *
+     * @param monitorIds Monitoring ID List     监控ID列表
      */
     void deleteAlertDefineMonitorBindsByMonitorIdIn(List<Long> monitorIds);
 
     /**
+     * Query monitoring related information based on alarm definition ID
      * 根据告警定义ID查询监控关联信息
-     * @param alertDefineId 告警定义ID
-     * @return 关联监控信息
+     *
+     * @param alertDefineId Alarm Definition ID     告警定义ID
+     * @return Associated monitoring information    关联监控信息
      */
     List<AlertDefineMonitorBind> getAlertDefineBindsByAlertDefineIdEquals(Long alertDefineId);
 }

alerter/src/main/java/com/usthe/alert/dto/AlertPriorityNum.java

@@ -4,7 +4,8 @@ import lombok.AllArgsConstructor;
 import lombok.Data;
 
 /**
- * 监控级别告警数量
+ * Number of monitoring level alarms 监控级别告警数量
+ *
  * @author tom
  * @date 2022/3/6 19:52
  */
@@ -12,7 +13,13 @@ import lombok.Data;
 @AllArgsConstructor
 public class AlertPriorityNum {
 
+    /**
+     * Alarm level 告警级别
+     */
     private byte priority;
 
+    /**
+     * count 数量
+     */
     private long num;
 }

alerter/src/main/java/com/usthe/alert/dto/AlertSummary.java

@@ -9,31 +9,43 @@ import lombok.NoArgsConstructor;
 import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_ONLY;
 
 /**
- * 告警统计信息
+ * Alarm Statistics Information  告警统计信息
+ *
  * @author tom
  * @date 2022/3/6 19:25
  */
 @Data
 @AllArgsConstructor
 @NoArgsConstructor
-@ApiModel(description = "告警统计信息")
+@ApiModel(description = "en:Alarm Statistics Information,zh: 告警统计信息")
 public class AlertSummary {
 
-    @ApiModelProperty(value = "告警总数量(包括已处理未处理告警)", example = "134", accessMode = READ_ONLY, position = 0)
+    @ApiModelProperty(value = "Total number of alerts (including processed and unprocessed alerts)",
+            notes = "告警总数量(包括已处理未处理告警)",
+            example = "134", accessMode = READ_ONLY, position = 0)
     private long total;
 
-    @ApiModelProperty(value = "已处理告警数量", example = "34", accessMode = READ_ONLY, position = 1)
+    @ApiModelProperty(value = "Number of alerts handled",
+            notes = "已处理告警数量",
+            example = "34", accessMode = READ_ONLY, position = 1)
     private long dealNum;
 
-    @ApiModelProperty(value = "告警处理率", example = "39.34", accessMode = READ_ONLY, position = 2)
+    @ApiModelProperty(value = "Alarm handling rate",
+            notes = "告警处理率",
+            example = "39.34", accessMode = READ_ONLY, position = 2)
     private float rate;
 
-    @ApiModelProperty(value = "告警级别为警告告警的告警数量(指未处理告警)", example = "43", accessMode = READ_ONLY, position = 3)
+    @ApiModelProperty(value = "Number of alarms whose alarm severity is warning alarms (referring to unhandled alarms)",
+            notes = "告警级别为警告告警的告警数量(指未处理告警)",
+            example = "43", accessMode = READ_ONLY, position = 3)
     private long priorityWarningNum;
 
-    @ApiModelProperty(value = "告警级别为严重告警的告警数量(指未处理告警)", example = "56", accessMode = READ_ONLY, position = 4)
+    @ApiModelProperty(value = "Number of alarms whose alarm severity is critical alarms (referring to unhandled alarms)",
+            notes = "告警级别为严重告警的告警数量(指未处理告警)",
+            example = "56", accessMode = READ_ONLY, position = 4)
     private long priorityCriticalNum;
 
-    @ApiModelProperty(value = "告警级别为紧急告警的告警数量(指未处理告警)", example = "23", accessMode = READ_ONLY, position = 5)
+    @ApiModelProperty(value = "Number of alarms whose alarm severity is urgent alarms (referring to unhandled alarms)",
+            notes = "告警级别为紧急告警的告警数量(指未处理告警)", example = "23", accessMode = READ_ONLY, position = 5)
     private long priorityEmergencyNum;
 }

alerter/src/main/java/com/usthe/alert/service/AlertService.java

@@ -10,43 +10,54 @@ import java.util.HashSet;
 import java.util.List;
 
 /**
+ * Alarm information management interface
  * 告警信息管理接口
+ *
  * @author tom
  * @date 2021/12/9 10:06
  */
 public interface AlertService {
 
     /**
-     * 新增告警
-     * @param alert 告警实体
-     * @throws RuntimeException 新增过程异常抛出
+     * Add alarm record
+     * 新增告警记录
+     *
+     * @param alert Alert entity    告警实体
+     * @throws RuntimeException Add process exception throw     新增过程异常抛出
      */
     void addAlert(Alert alert) throws RuntimeException;
 
     /**
+     * Dynamic conditional query
      * 动态条件查询
-     * @param specification 查询条件
-     * @param pageRequest 分页参数
-     * @return 查询结果
+     *
+     * @param specification Query conditions        查询条件
+     * @param pageRequest   pagination parameters     分页参数
+     * @return search result    查询结果
      */
     Page<Alert> getAlerts(Specification<Alert> specification, PageRequest pageRequest);
 
     /**
+     * Delete alarms in batches according to the alarm ID list
      * 根据告警ID列表批量删除告警
-     * @param ids 告警IDs
+     *
+     * @param ids Alarm ID List  告警IDS
      */
     void deleteAlerts(HashSet<Long> ids);
 
     /**
+     * Update the alarm status according to the alarm ID-status value
      * 根据告警ID-状态值 更新告警状态
-     * @param status 待修改为的告警状态
-     * @param ids 待修改的告警IDs
+     *
+     * @param status Alarm status to be modified    待修改为的告警状态
+     * @param ids    Alarm ID  List to be modified          待修改的告警ID集合
      */
     void editAlertStatus(Byte status, List<Long> ids);
 
     /**
-     * 获取告警统计信息
-     * @return 告警统计
+     * Get alarm statistics information 获取告警统计信息
+     *
+     * @return Alarm statistics information 告警统计
      */
     AlertSummary getAlertsSummary();
 

alerter/src/main/java/com/usthe/alert/service/impl/AlertServiceImpl.java

@@ -20,7 +20,8 @@ import java.util.HashSet;
 import java.util.List;
 
 /**
- * 告警信息服务实现
+ * Realization of Alarm Information Service 告警信息服务实现
+ *
  * @author tom
  * @date 2021/12/10 15:39
  */
@@ -55,18 +56,24 @@ public class AlertServiceImpl implements AlertService {
     @Override
     public AlertSummary getAlertsSummary() {
         AlertSummary alertSummary = new AlertSummary();
+        //Statistics on the alarm information in the alarm state
+        //统计正在告警状态下的告警信息
         List<AlertPriorityNum> priorityNums = alertDao.findAlertPriorityNum();
         if (priorityNums != null) {
             for (AlertPriorityNum priorityNum : priorityNums) {
                 switch (priorityNum.getPriority()) {
                     case CommonConstants
                             .ALERT_PRIORITY_CODE_WARNING:
-                        alertSummary.setPriorityWarningNum(priorityNum.getNum());break;
+                        alertSummary.setPriorityWarningNum(priorityNum.getNum());
+                        break;
                     case CommonConstants.ALERT_PRIORITY_CODE_CRITICAL:
-                        alertSummary.setPriorityCriticalNum(priorityNum.getNum());break;
+                        alertSummary.setPriorityCriticalNum(priorityNum.getNum());
+                        break;
                     case CommonConstants.ALERT_PRIORITY_CODE_EMERGENCY:
-                        alertSummary.setPriorityEmergencyNum(priorityNum.getNum());break;
-                    default: break;
+                        alertSummary.setPriorityEmergencyNum(priorityNum.getNum());
+                        break;
+                    default:
+                        break;
                 }
             }
         }

collector/pom.xml

@@ -91,6 +91,35 @@
             <artifactId>mysql-connector-java</artifactId>
             <version>8.0.27</version>
         </dependency>
+        <!-- postgresql -->
+        <dependency>
+            <groupId>org.postgresql</groupId>
+            <artifactId>postgresql</artifactId>
+            <version>42.3.3</version>
+        </dependency>
+        <!-- linux ssh -->
+        <dependency>
+            <groupId>org.apache.sshd</groupId>
+            <artifactId>sshd-core</artifactId>
+            <version>2.8.0</version>
+        </dependency>
+        <!-- sql server -->
+        <dependency>
+            <groupId>com.microsoft.sqlserver</groupId>
+            <artifactId>mssql-jdbc</artifactId>
+            <version>10.2.0.jre8</version>
+        </dependency>
+        <!-- oracle -->
+        <dependency>
+            <groupId>com.oracle.database.jdbc</groupId>
+            <artifactId>ojdbc8</artifactId>
+            <version>21.5.0.0</version>
+        </dependency>
+        <dependency>
+            <groupId>com.oracle.database.nls</groupId>
+            <artifactId>orai18n</artifactId>
+            <version>21.5.0.0</version>
+        </dependency>
     </dependencies>
 
 </project>

collector/src/main/java/com/usthe/collector/collect/common/cache/CacheIdentifier.java

@@ -2,6 +2,7 @@ package com.usthe.collector.collect.common.cache;
 
 import lombok.Builder;
 import lombok.Data;
+import lombok.ToString;
 
 /**
  * 缓存key唯一标识符
@@ -10,6 +11,7 @@ import lombok.Data;
  */
 @Data
 @Builder
+@ToString
 public class CacheIdentifier {
 
     private String ip;

collector/src/main/java/com/usthe/collector/collect/common/cache/CommonCache.java

@@ -21,9 +21,9 @@ import java.util.concurrent.TimeUnit;
 public class CommonCache {
 
     /**
-     * 默认缓存时间 30minute
+     * 默认缓存时间 800s
      */
-    private static final long DEFAULT_CACHE_TIMEOUT = 30 * 60 * 1000L;
+    private static final long DEFAULT_CACHE_TIMEOUT = 800 * 1000L;
 
     /**
      * 默认最大缓存数量
@@ -121,15 +121,17 @@ public class CommonCache {
                     timeoutMap.put(key, new Long[]{currentTime, DEFAULT_CACHE_TIMEOUT});
                 } else if (cacheTime[0] + cacheTime[1] < currentTime) {
                     // 过期了 discard 关闭这个cache的资源
+                    log.warn("[cache] clean the timeout cache, key {}", key);
                     timeoutMap.remove(key);
                     cacheMap.remove(key);
                     if (value instanceof CacheCloseable) {
+                        log.warn("[cache] close the timeout cache, key {}", key);
                         ((CacheCloseable)value).close();
                     }
                 }
             });
         } catch (Exception e) {
-            log.error("clean timeout cache error: {}.", e.getMessage(), e);
+            log.error("[cache] clean timeout cache error: {}.", e.getMessage(), e);
         }
     }
 
@@ -155,6 +157,15 @@ public class CommonCache {
         });
     }
 
+    /**
+     * 新增或更新cache
+     * @param key 存储对象key
+     * @param value 存储对象
+     */
+    public void addCache(Object key, Object value) {
+        addCache(key, value, DEFAULT_CACHE_TIMEOUT);
+    }
+
     /**
      * 根据缓存key获取缓存对象
      * @param key key
@@ -164,15 +175,18 @@ public class CommonCache {
     public Optional<Object> getCache(Object key, boolean refreshCache) {
         Long[] cacheTime = timeoutMap.get(key);
         if (cacheTime == null || cacheTime.length != CACHE_TIME_LENGTH) {
+            log.warn("[cache] not hit the cache, key {}.", key);
             return Optional.empty();
         }
         if (cacheTime[0] + cacheTime[1] < System.currentTimeMillis()) {
+            log.warn("[cache] is timeout, remove it, key {}.", key);
             timeoutMap.remove(key);
             cacheMap.remove(key);
             return Optional.empty();
         }
         Object value = cacheMap.get(key);
         if (value == null) {
+            log.error("[cache] value is null, remove it, key {}.", key);
             cacheMap.remove(key);
             timeoutMap.remove(key);
         } else if (refreshCache) {

collector/src/main/java/com/usthe/collector/collect/common/http/CommonHttpClient.java

@@ -17,7 +17,9 @@ import javax.net.ssl.SSLContext;
 import javax.net.ssl.TrustManager;
 import javax.net.ssl.X509TrustManager;
 import java.security.cert.CertificateException;
+import java.security.cert.CertificateExpiredException;
 import java.security.cert.X509Certificate;
+import java.util.Date;
 import java.util.concurrent.TimeUnit;
 
 /**
@@ -75,7 +77,18 @@ public class CommonHttpClient {
                 @Override
                 public void checkClientTrusted(X509Certificate[] x509Certificates, String s) throws CertificateException { }
                 @Override
-                public void checkServerTrusted(X509Certificate[] x509Certificates, String s) throws CertificateException { }
+                public void checkServerTrusted(X509Certificate[] x509Certificates, String s) throws CertificateException {
+                    // 判断服务器证书有效期时间
+                    Date now = new Date();
+                    if (x509Certificates != null && x509Certificates.length > 0) {
+                        for (X509Certificate certificate : x509Certificates) {
+                            Date deadline = certificate.getNotAfter();
+                            if (deadline != null && now.after(deadline)) {
+                                throw new CertificateExpiredException();
+                            }
+                        }
+                    }
+                }
                 @Override
                 public X509Certificate[] getAcceptedIssuers() { return null; }
             };
@@ -95,8 +108,8 @@ public class CommonHttpClient {
                     .setConnectTimeout(CONNECT_TIMEOUT)
                     // 数据传输最大响应间隔时间
                     .setSocketTimeout(SOCKET_TIMEOUT)
-                    // 遇到301 302不自动重定向跳转
-                    .setRedirectsEnabled(false)
+                    // 遇到301 302自动重定向跳转
+                    .setRedirectsEnabled(true)
                     .build();
             // 连接池
             connectionManager = new PoolingHttpClientConnectionManager(registry);

collector/src/main/java/com/usthe/collector/collect/common/ssh/CommonSshClient.java

@@ -0,0 +1,36 @@
+package com.usthe.collector.collect.common.ssh;
+
+import lombok.extern.slf4j.Slf4j;
+import org.apache.sshd.client.SshClient;
+import org.apache.sshd.client.keyverifier.AcceptAllServerKeyVerifier;
+import org.apache.sshd.common.PropertyResolverUtils;
+import org.apache.sshd.core.CoreModuleProperties;
+
+/**
+ * ssh公共client
+ * @author tom
+ * @date 2022/3/11 15:58
+ */
+@Slf4j
+public class CommonSshClient {
+
+    private static SshClient sshClient;
+
+
+    static {
+        sshClient = SshClient.setUpDefaultClient();
+        // 接受所有服务端公钥校验，会打印warn日志 Server at {} presented unverified {} key: {}
+        AcceptAllServerKeyVerifier verifier = AcceptAllServerKeyVerifier.INSTANCE;
+        sshClient.setServerKeyVerifier(verifier);
+        // 设置链接保活心跳10000毫秒一次, 客户端等待保活心跳超时响应时间3000毫秒
+        PropertyResolverUtils.updateProperty(
+                sshClient, CoreModuleProperties.HEARTBEAT_INTERVAL.getName(), 10000);
+        PropertyResolverUtils.updateProperty(
+                sshClient, CoreModuleProperties.HEARTBEAT_REPLY_WAIT.getName(), 3000);
+        sshClient.start();
+    }
+
+    public static SshClient getSshClient() {
+        return sshClient;
+    }
+}

collector/src/main/java/com/usthe/collector/collect/database/JdbcCommonCollect.java

@@ -11,6 +11,7 @@ import com.usthe.common.entity.job.protocol.JdbcProtocol;
 import com.usthe.common.entity.message.CollectRep;
 import com.usthe.common.util.CommonConstants;
 import lombok.extern.slf4j.Slf4j;
+import org.postgresql.util.PSQLException;
 
 import java.sql.Connection;
 import java.sql.DriverManager;
@@ -51,9 +52,19 @@ public class JdbcCommonCollect extends AbstractCollect {
         }
         JdbcProtocol jdbcProtocol = metrics.getJdbc();
         String databaseUrl = constructDatabaseUrl(jdbcProtocol);
+        // 查询超时时间默认6000毫秒
+        int timeout = 6000;
+        try {
+            // 获取查询语句超时时间
+            if (jdbcProtocol.getTimeout() != null) {
+                timeout = Integer.parseInt(jdbcProtocol.getTimeout());
+            }
+        } catch (Exception e) {
+            log.warn(e.getMessage());
+        }
         try {
             Statement statement = getConnection(jdbcProtocol.getUsername(),
-                    jdbcProtocol.getPassword(), databaseUrl);
+                    jdbcProtocol.getPassword(), databaseUrl, timeout);
             switch (jdbcProtocol.getQueryType()) {
                 case QUERY_TYPE_ONE_ROW:
                     queryOneRow(statement, jdbcProtocol.getSql(), metrics.getAliasFields(), builder, startTime);
@@ -72,7 +83,16 @@ public class JdbcCommonCollect extends AbstractCollect {
         } catch (CommunicationsException communicationsException) {
             log.warn("Jdbc sql error: {}, code: {}.", communicationsException.getMessage(), communicationsException.getErrorCode());
             builder.setCode(CollectRep.Code.UN_REACHABLE);
-            builder.setMsg("Query Error: " + communicationsException.getMessage() + " Code: " + communicationsException.getErrorCode());
+            builder.setMsg("Error: " + communicationsException.getMessage() + " Code: " + communicationsException.getErrorCode());
+        } catch (PSQLException psqlException) {
+            // for PostgreSQL 08001
+            if (CollectorConstants.POSTGRESQL_UN_REACHABLE_CODE.equals(psqlException.getSQLState())) {
+                // 对端链接失败 不可达
+                builder.setCode(CollectRep.Code.UN_REACHABLE);
+            } else {
+                builder.setCode(CollectRep.Code.FAIL);
+            }
+            builder.setMsg("Error: " + psqlException.getMessage() + " Code: " + psqlException.getSQLState());
         } catch (SQLException sqlException) {
             log.warn("Jdbc sql error: {}, code: {}.", sqlException.getMessage(), sqlException.getErrorCode());
             builder.setCode(CollectRep.Code.FAIL);
@@ -85,7 +105,7 @@ public class JdbcCommonCollect extends AbstractCollect {
     }
 
 
-    private Statement getConnection(String username, String password, String url) throws Exception {
+    private Statement getConnection(String username, String password, String url,Integer timeout) throws Exception {
         CacheIdentifier identifier = CacheIdentifier.builder()
                 .ip(url)
                 .username(username).password(password).build();
@@ -96,7 +116,9 @@ public class JdbcCommonCollect extends AbstractCollect {
             try {
                 statement = jdbcConnect.getConnection().createStatement();
                 // 设置查询超时时间10秒
-                statement.setQueryTimeout(10);
+                int timeoutSecond = timeout / 1000;
+                timeoutSecond = timeoutSecond <= 0 ? 1 : timeoutSecond;
+                statement.setQueryTimeout(timeoutSecond);
                 // 设置查询最大行数1000行
                 statement.setMaxRows(1000);
             } catch (Exception e) {
@@ -120,11 +142,13 @@ public class JdbcCommonCollect extends AbstractCollect {
         Connection connection = DriverManager.getConnection(url, username, password);
         statement = connection.createStatement();
         // 设置查询超时时间10秒
-        statement.setQueryTimeout(10);
+        int timeoutSecond = timeout / 1000;
+        timeoutSecond = timeoutSecond <= 0 ? 1 : timeoutSecond;
+        statement.setQueryTimeout(timeoutSecond);
         // 设置查询最大行数1000行
         statement.setMaxRows(1000);
         JdbcConnect jdbcConnect = new JdbcConnect(connection);
-        CommonCache.getInstance().addCache(identifier, jdbcConnect, 10000L);
+        CommonCache.getInstance().addCache(identifier, jdbcConnect);
         return statement;
     }
 
@@ -180,7 +204,7 @@ public class JdbcCommonCollect extends AbstractCollect {
             HashMap<String, String> values = new HashMap<>(columns.size());
             while (resultSet.next()) {
                 if (resultSet.getString(1) != null) {
-                    values.put(resultSet.getString(1).toLowerCase(), resultSet.getString(2));
+                    values.put(resultSet.getString(1).toLowerCase().trim(), resultSet.getString(2));
                 }
             }
             CollectRep.ValueRow.Builder valueRowBuilder = CollectRep.ValueRow.newBuilder();
@@ -253,6 +277,18 @@ public class JdbcCommonCollect extends AbstractCollect {
                         + "/" + (jdbcProtocol.getDatabase() == null ? "" : jdbcProtocol.getDatabase())
                         + "?useUnicode=true&characterEncoding=utf-8&useSSL=false";
                 break;
+            case "postgresql":
+                url = "jdbc:postgresql://" + jdbcProtocol.getHost() + ":" + jdbcProtocol.getPort()
+                        + "/" + (jdbcProtocol.getDatabase() == null ? "" : jdbcProtocol.getDatabase());
+                break;
+            case "sqlserver":
+                url = "jdbc:sqlserver://" + jdbcProtocol.getHost() + ":" + jdbcProtocol.getPort()
+                        + ";" + (jdbcProtocol.getDatabase() == null ? "" : "DatabaseName=" + jdbcProtocol.getDatabase());
+                break;
+            case "oracle":
+                url = "jdbc:oracle:thin:@" + jdbcProtocol.getHost() + ":" + jdbcProtocol.getPort()
+                        + "/" + (jdbcProtocol.getDatabase() == null ? "" : jdbcProtocol.getDatabase());
+                break;
             default:
                 throw new IllegalArgumentException("Not support database platform: " + jdbcProtocol.getPlatform());
 

collector/src/main/java/com/usthe/collector/collect/database/JdbcSpiLoader.java

@@ -0,0 +1,32 @@
+package com.usthe.collector.collect.database;
+
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.boot.CommandLineRunner;
+import org.springframework.core.annotation.Order;
+import org.springframework.stereotype.Service;
+
+/**
+ * 预加载jdbc驱动包 避免spi并发加载造成死锁
+ * @author tom
+ * @date 2022/3/19 15:39
+ */
+@Service
+@Slf4j
+@Order(value = 0)
+public class JdbcSpiLoader implements CommandLineRunner {
+
+
+    @Override
+    public void run(String... args) throws Exception {
+        log.info("start load jdbc drivers");
+        try {
+            Class.forName("com.mysql.cj.jdbc.Driver");
+            Class.forName("org.postgresql.Driver");
+            Class.forName("com.microsoft.sqlserver.jdbc.SQLServerDriver");
+            Class.forName("oracle.jdbc.driver.OracleDriver");
+        } catch (Exception e) {
+            log.error("load jdbc error: {}", e.getMessage(), e);
+        }
+        log.info("end load jdbc drivers");
+    }
+}

collector/src/main/java/com/usthe/collector/collect/http/HttpCollectImpl.java

@@ -7,6 +7,7 @@ import com.google.gson.JsonParser;
 import com.usthe.collector.collect.AbstractCollect;
 import com.usthe.collector.collect.common.http.CommonHttpClient;
 import com.usthe.collector.dispatch.DispatchConstants;
+import com.usthe.collector.util.CollectUtil;
 import com.usthe.collector.util.CollectorConstants;
 import com.usthe.collector.util.JsonPathParser;
 import com.usthe.common.entity.job.Metrics;
@@ -100,7 +101,7 @@ public class HttpCollectImpl extends AbstractCollect {
                 String parseType = metrics.getHttp().getParseType();
                 try {
                     if (DispatchConstants.PARSE_DEFAULT.equals(parseType)) {
-                        parseResponseByDefault(resp, metrics.getAliasFields(), builder, responseTime);
+                        parseResponseByDefault(resp, metrics.getAliasFields(), metrics.getHttp(), builder, responseTime);
                     } else if (DispatchConstants.PARSE_JSON_PATH.equals(parseType)) {
                         parseResponseByJsonPath(resp, metrics.getAliasFields(), metrics.getHttp(), builder, responseTime);
                     } else if (DispatchConstants.PARSE_PROMETHEUS.equals(parseType)) {
@@ -108,11 +109,11 @@ public class HttpCollectImpl extends AbstractCollect {
                     } else if (DispatchConstants.PARSE_XML_PATH.equals(parseType)) {
                         parseResponseByXmlPath(resp, metrics.getAliasFields(), metrics.getHttp(), builder);
                     } else if (DispatchConstants.PARSE_WEBSITE.equals(parseType)){
-                        parseResponseByWebsite(resp, metrics.getAliasFields(), builder, responseTime);
+                        parseResponseByWebsite(resp, metrics.getAliasFields(), metrics.getHttp(), builder, responseTime);
                     } else if (DispatchConstants.PARSE_SITE_MAP.equals(parseType)) {
                         parseResponseBySiteMap(resp, metrics.getAliasFields(), builder);
                     } else {
-                        parseResponseByDefault(resp, metrics.getAliasFields(), builder, responseTime);
+                        parseResponseByDefault(resp, metrics.getAliasFields(), metrics.getHttp(), builder, responseTime);
                     }
                 } catch (Exception e) {
                     log.info("parse error: {}.", e.getMessage(), e);
@@ -169,13 +170,16 @@ public class HttpCollectImpl extends AbstractCollect {
         }
     }
 
-    private void parseResponseByWebsite(String resp, List<String> aliasFields,
+    private void parseResponseByWebsite(String resp, List<String> aliasFields, HttpProtocol http,
                                         CollectRep.MetricsData.Builder builder, Long responseTime) {
         CollectRep.ValueRow.Builder valueRowBuilder = CollectRep.ValueRow.newBuilder();
-        // todo resp 网站关键字监测
+        // 网站关键词数量监测
+        int keywordNum = CollectUtil.countMatchKeyword(resp, http.getKeyword());
         for (String alias : aliasFields) {
             if (CollectorConstants.RESPONSE_TIME.equalsIgnoreCase(alias)) {
                 valueRowBuilder.addColumns(responseTime.toString());
+            } else if (CollectorConstants.KEYWORD.equalsIgnoreCase(alias)) {
+                valueRowBuilder.addColumns(Integer.toString(keywordNum));
             } else {
                 valueRowBuilder.addColumns(CommonConstants.NULL_VALUE);
             }
@@ -277,6 +281,7 @@ public class HttpCollectImpl extends AbstractCollect {
     private void parseResponseByJsonPath(String resp, List<String> aliasFields, HttpProtocol http,
                                          CollectRep.MetricsData.Builder builder, Long responseTime) {
         List<Map<String, Object>> results = JsonPathParser.parseContentWithJsonPath(resp, http.getParseScript());
+        int keywordNum = CollectUtil.countMatchKeyword(resp, http.getKeyword());
         for (Map<String, Object> stringMap : results) {
             CollectRep.ValueRow.Builder valueRowBuilder = CollectRep.ValueRow.newBuilder();
             for (String alias : aliasFields) {
@@ -286,6 +291,8 @@ public class HttpCollectImpl extends AbstractCollect {
                 } else {
                     if (CollectorConstants.RESPONSE_TIME.equalsIgnoreCase(alias)) {
                         valueRowBuilder.addColumns(responseTime.toString());
+                    } else if (CollectorConstants.KEYWORD.equalsIgnoreCase(alias)) {
+                        valueRowBuilder.addColumns(Integer.toString(keywordNum));
                     } else {
                         valueRowBuilder.addColumns(CommonConstants.NULL_VALUE);
                     }
@@ -300,9 +307,10 @@ public class HttpCollectImpl extends AbstractCollect {
 
     }
 
-    private void parseResponseByDefault(String resp, List<String> aliasFields,
+    private void parseResponseByDefault(String resp, List<String> aliasFields, HttpProtocol http,
                                         CollectRep.MetricsData.Builder builder, Long responseTime) {
         JsonElement element = JsonParser.parseString(resp);
+        int keywordNum = CollectUtil.countMatchKeyword(resp, http.getKeyword());
         if (element.isJsonArray()) {
             JsonArray array = element.getAsJsonArray();
             for (JsonElement jsonElement : array) {
@@ -317,6 +325,8 @@ public class HttpCollectImpl extends AbstractCollect {
                         } else {
                             if (CollectorConstants.RESPONSE_TIME.equalsIgnoreCase(alias)) {
                                 valueRowBuilder.addColumns(responseTime.toString());
+                            } else if (CollectorConstants.KEYWORD.equalsIgnoreCase(alias)) {
+                                valueRowBuilder.addColumns(Integer.toString(keywordNum));
                             } else {
                                 valueRowBuilder.addColumns(CommonConstants.NULL_VALUE);
                             }
@@ -406,7 +416,11 @@ public class HttpCollectImpl extends AbstractCollect {
                 }
             }
         }
-        // headers
+        // The default request header can be overridden if customized
+        // keep-alive
+        requestBuilder.addHeader(HttpHeaders.CONNECTION, "keep-alive");
+        requestBuilder.addHeader(HttpHeaders.USER_AGENT,"Mozilla/5.0 (Windows NT 6.1; WOW64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.76 Safari/537.36");
+        // headers  The custom request header is overwritten here
         Map<String, String> headers = httpProtocol.getHeaders();
         if (headers != null && !headers.isEmpty()) {
             for (Map.Entry<String, String> header : headers.entrySet()) {
@@ -415,8 +429,6 @@ public class HttpCollectImpl extends AbstractCollect {
                 }
             }
         }
-        // keep-alive
-        requestBuilder.addHeader(HttpHeaders.CONNECTION, "keep-alive");
         // add accept
         if (DispatchConstants.PARSE_DEFAULT.equals(httpProtocol.getParseType())
                 || DispatchConstants.PARSE_JSON_PATH.equals(httpProtocol.getParseType())) {

collector/src/main/java/com/usthe/collector/collect/icmp/IcmpCollectImpl.java

@@ -37,8 +37,8 @@ public class IcmpCollectImpl extends AbstractCollect {
             return;
         }
         IcmpProtocol icmp = metrics.getIcmp();
-        // 超时时间默认300毫秒
-        int timeout = 300;
+        // 超时时间默认6000毫秒
+        int timeout = 6000;
         try {
             timeout = Integer.parseInt(icmp.getTimeout());
         } catch (Exception e) {

collector/src/main/java/com/usthe/collector/collect/ssh/SshCollectImpl.java

@@ -0,0 +1,211 @@
+package com.usthe.collector.collect.ssh;
+
+import com.usthe.collector.collect.AbstractCollect;
+import com.usthe.collector.collect.common.cache.CacheIdentifier;
+import com.usthe.collector.collect.common.cache.CommonCache;
+import com.usthe.collector.collect.common.ssh.CommonSshClient;
+import com.usthe.collector.util.CollectorConstants;
+import com.usthe.collector.util.KeyPairUtil;
+import com.usthe.common.entity.job.Metrics;
+import com.usthe.common.entity.job.protocol.SshProtocol;
+import com.usthe.common.entity.message.CollectRep;
+import com.usthe.common.util.CommonConstants;
+import lombok.extern.slf4j.Slf4j;
+import org.apache.sshd.client.SshClient;
+import org.apache.sshd.client.channel.ClientChannel;
+import org.apache.sshd.client.channel.ClientChannelEvent;
+import org.apache.sshd.client.session.ClientSession;
+import org.springframework.util.StringUtils;
+
+import java.io.ByteArrayOutputStream;
+import java.io.IOException;
+import java.net.ConnectException;
+import java.security.KeyPair;
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Optional;
+import java.util.concurrent.TimeUnit;
+
+/**
+ * ssh协议采集实现
+ * @author tom
+ * @date 2022/03/11 15:10
+ */
+@Slf4j
+public class SshCollectImpl extends AbstractCollect {
+
+    private static final String PARSE_TYPE_ONE_ROW = "oneRow";
+    private static final String PARSE_TYPE_MULTI_ROW = "multiRow";
+
+    private SshCollectImpl(){}
+
+    public static SshCollectImpl getInstance() {
+        return SshCollectImpl.Singleton.INSTANCE;
+    }
+
+
+    @Override
+    public void collect(CollectRep.MetricsData.Builder builder, long appId, String app, Metrics metrics) {
+        long startTime = System.currentTimeMillis();
+        // 校验参数
+        try {
+            validateParams(metrics);
+        } catch (Exception e) {
+            builder.setCode(CollectRep.Code.FAIL);
+            builder.setMsg(e.getMessage());
+            return;
+        }
+        SshProtocol sshProtocol = metrics.getSsh();
+        // 超时时间默认6000毫秒
+        int timeout = 6000;
+        try {
+            timeout = Integer.parseInt(sshProtocol.getTimeout());
+        } catch (Exception e) {
+            log.warn(e.getMessage());
+        }
+        try {
+            ClientSession clientSession = getConnectSession(sshProtocol, timeout);
+            ClientChannel channel = clientSession.createExecChannel(sshProtocol.getScript());
+            ByteArrayOutputStream response = new ByteArrayOutputStream();
+            channel.setOut(response);
+            if (!channel.open().verify(timeout).isOpened()) {
+                throw new Exception("open failed");
+            }
+            List<ClientChannelEvent> list = new ArrayList<>();
+            list.add(ClientChannelEvent.CLOSED);
+            channel.waitFor(list, timeout);
+            Long responseTime  = System.currentTimeMillis() - startTime;
+            channel.close();
+            String result = response.toString();
+            if (!StringUtils.hasText(result)) {
+                builder.setCode(CollectRep.Code.FAIL);
+                builder.setMsg("采集数据失败");
+            }
+            switch (sshProtocol.getParseType()) {
+                case PARSE_TYPE_ONE_ROW:
+                    parseResponseDataByOne(result, metrics.getAliasFields(), builder, responseTime);
+                    break;
+                default: parseResponseDataByMulti(result, metrics.getAliasFields(), builder, responseTime);
+                break;
+            }
+        } catch (ConnectException connectException) {
+            log.debug(connectException.getMessage());
+            builder.setCode(CollectRep.Code.UN_CONNECTABLE);
+            builder.setMsg("对端拒绝连接：服务未启动端口监听或防火墙");
+        } catch (IOException ioException) {
+            log.debug(ioException.getMessage());
+            builder.setCode(CollectRep.Code.UN_CONNECTABLE);
+            builder.setMsg("对端连接失败 " + ioException.getMessage());
+        } catch (Exception exception) {
+            log.debug(exception.getMessage());
+            builder.setCode(CollectRep.Code.FAIL);
+            builder.setMsg(exception.getMessage());
+        }
+    }
+
+    private void parseResponseDataByOne(String result, List<String> aliasFields, CollectRep.MetricsData.Builder builder, Long responseTime) {
+        String[] lines = result.split("\n");
+        if (lines.length + 1 < aliasFields.size()) {
+            log.error("ssh response data not enough: {}",  result);
+        }
+        CollectRep.ValueRow.Builder valueRowBuilder = CollectRep.ValueRow.newBuilder();
+        int aliasIndex = 0;
+        int lineIndex = 0;
+        while (aliasIndex < aliasFields.size()) {
+            if (CollectorConstants.RESPONSE_TIME.equalsIgnoreCase(aliasFields.get(aliasIndex))) {
+                valueRowBuilder.addColumns(responseTime.toString());
+            } else {
+                valueRowBuilder.addColumns(lines[lineIndex].trim());
+                lineIndex++;
+            }
+            aliasIndex++;
+        }
+        builder.addValues(valueRowBuilder.build());
+    }
+
+    private void parseResponseDataByMulti(String result, List<String> aliasFields,
+                                          CollectRep.MetricsData.Builder builder, Long responseTime) {
+        String[] lines = result.split("\n");
+        if (lines.length <= 1) {
+            log.error("ssh response data only has header: {}",  result);
+        }
+        String[] fields = lines[0].split(" ");
+        Map<String, Integer> fieldMapping = new HashMap<>(fields.length);
+        for (int i = 0; i < fields.length; i++) {
+            fieldMapping.put(fields[i].trim().toLowerCase(), i);
+        }
+        for (int i = 1; i < lines.length; i++) {
+            String[] values = lines[i].split(" ");
+            CollectRep.ValueRow.Builder valueRowBuilder = CollectRep.ValueRow.newBuilder();
+            for (String alias : aliasFields) {
+                if (CollectorConstants.RESPONSE_TIME.equalsIgnoreCase(alias)) {
+                    valueRowBuilder.addColumns(responseTime.toString());
+                } else {
+                    Integer index = fieldMapping.get(alias.toLowerCase());
+                    if (index != null && index < values.length) {
+                        valueRowBuilder.addColumns(values[index]);
+                    } else {
+                        valueRowBuilder.addColumns(CommonConstants.NULL_VALUE);
+                    }
+                }
+            }
+            builder.addValues(valueRowBuilder.build());
+        }
+    }
+
+    private ClientSession getConnectSession(SshProtocol sshProtocol, int timeout) throws IOException {
+        CacheIdentifier identifier = CacheIdentifier.builder()
+                .ip(sshProtocol.getHost()).port(sshProtocol.getPort())
+                .username(sshProtocol.getUsername()).password(sshProtocol.getPassword())
+                .build();
+        Optional<Object> cacheOption = CommonCache.getInstance().getCache(identifier, true);
+        ClientSession clientSession = null;
+        if (cacheOption.isPresent()) {
+            clientSession = (ClientSession) cacheOption.get();
+            try {
+                if (clientSession.isClosed() || clientSession.isClosing()) {
+                    clientSession = null;
+                    CommonCache.getInstance().removeCache(identifier);
+                }
+            } catch (Exception e) {
+                log.warn(e.getMessage());
+                clientSession = null;
+                CommonCache.getInstance().removeCache(identifier);
+            }
+        }
+        if (clientSession != null) {
+            return clientSession;
+        }
+        SshClient sshClient = CommonSshClient.getSshClient();
+        clientSession = sshClient.connect(sshProtocol.getUsername(), sshProtocol.getHost(), Integer.parseInt(sshProtocol.getPort()))
+                .verify(timeout, TimeUnit.MILLISECONDS).getSession();
+        if (StringUtils.hasText(sshProtocol.getPassword())) {
+            clientSession.addPasswordIdentity(sshProtocol.getPassword());
+        } else if (StringUtils.hasText(sshProtocol.getPublicKey())) {
+            KeyPair keyPair = KeyPairUtil.getKeyPairFromPublicKey(sshProtocol.getPublicKey());
+            if (keyPair != null) {
+                clientSession.addPublicKeyIdentity(keyPair);
+            }
+        } else {
+            throw new IllegalArgumentException("需填写账户登陆密码或公钥");
+        }
+        // 进行认证
+        if (!clientSession.auth().verify(timeout, TimeUnit.MILLISECONDS).isSuccess()) {
+            throw new IllegalArgumentException("认证失败");
+        }
+        CommonCache.getInstance().addCache(identifier, clientSession);
+        return clientSession;
+    }
+
+    private void validateParams(Metrics metrics) throws Exception {
+        if (metrics == null || metrics.getSsh() == null) {
+            throw new Exception("Ssh collect must has ssh params");
+        }
+    }
+
+    private static class Singleton {
+        private static final SshCollectImpl INSTANCE = new SshCollectImpl();
+    }
+}

collector/src/main/java/com/usthe/collector/collect/telnet/TelnetCollectImpl.java

@@ -13,7 +13,7 @@ import java.io.IOException;
 import java.net.ConnectException;
 
 /**
- * icmp协议采集实现 - ping
+ * telnet协议采集实现
  * @author tom
  * @date 2021/12/4 12:32
  */
@@ -38,8 +38,8 @@ public class TelnetCollectImpl extends AbstractCollect {
         }
 
         TelnetProtocol telnet = metrics.getTelnet();
-        // 超时时间默认300毫秒
-        int timeout = 300;
+        // 超时时间默认6000毫秒
+        int timeout = 6000;
         try {
             timeout = Integer.parseInt(telnet.getTimeout());
         } catch (Exception e) {

collector/src/main/java/com/usthe/collector/dispatch/CommonDispatcher.java

@@ -32,7 +32,7 @@ public class CommonDispatcher implements MetricsTaskDispatch, CollectDataDispatc
     /**
      * 指标组采集任务超时时间值
      */
-    private static final long DURATION_TIME = 120_000L;
+    private static final long DURATION_TIME = 240_000L;
     /**
      * 指标组采集任务优先级队列
      */
@@ -94,7 +94,7 @@ public class CommonDispatcher implements MetricsTaskDispatch, CollectDataDispatc
             Thread.currentThread().setName("metrics-task-monitor");
             while (!Thread.currentThread().isInterrupted()) {
                 try {
-                    // 检测每个指标组采集单元是否超时2分钟,超时则丢弃并返回异常
+                    // 检测每个指标组采集单元是否超时4分钟,超时则丢弃并返回异常
                     long deadline = System.currentTimeMillis() - DURATION_TIME;
                     for (Map.Entry<String, MetricsTime> entry : metricsTimeoutMonitorMap.entrySet()) {
                         MetricsTime metricsTime = entry.getValue();
@@ -105,9 +105,13 @@ public class CommonDispatcher implements MetricsTaskDispatch, CollectDataDispatc
                                     .setId(timerJob.getJob().getMonitorId())
                                     .setApp(timerJob.getJob().getApp())
                                     .setMetrics(metricsTime.getMetrics().getName())
+                                    .setPriority(metricsTime.getMetrics().getPriority())
                                     .setTime(System.currentTimeMillis())
                                     .setCode(CollectRep.Code.TIMEOUT).setMsg("collect timeout").build();
-                            dispatchCollectData(metricsTime.timeout, metricsTime.getMetrics(), metricsData);
+                            log.error("[Collect Timeout]: \n{}", metricsData);
+                            if (metricsData.getPriority() == 0) {
+                                dispatchCollectData(metricsTime.timeout, metricsTime.getMetrics(), metricsData);
+                            }
                             metricsTimeoutMonitorMap.remove(entry.getKey());
                         }
                     }
@@ -165,8 +169,8 @@ public class CommonDispatcher implements MetricsTaskDispatch, CollectDataDispatc
                 metricsSet.forEach(metricItem -> {
                     MetricsCollect metricsCollect = new MetricsCollect(metricItem, timeout, this);
                     jobRequestQueue.addJob(metricsCollect);
-                    metricsTimeoutMonitorMap.put(job.getId() + metrics.getName(),
-                            new MetricsTime(System.currentTimeMillis(), metrics, timeout));
+                    metricsTimeoutMonitorMap.put(job.getId() + "-" + metricItem.getName(),
+                            new MetricsTime(System.currentTimeMillis(), metricItem, timeout));
                 });
             } else {
                 // 当前执行级别的指标组列表未全执行完成,
@@ -185,8 +189,8 @@ public class CommonDispatcher implements MetricsTaskDispatch, CollectDataDispatc
                 metricsSet.forEach(metricItem -> {
                     MetricsCollect metricsCollect = new MetricsCollect(metricItem, timeout, this);
                     jobRequestQueue.addJob(metricsCollect);
-                    metricsTimeoutMonitorMap.put(job.getId() + metrics.getName(),
-                            new MetricsTime(System.currentTimeMillis(), metrics, timeout));
+                    metricsTimeoutMonitorMap.put(job.getId() + "-" + metricItem.getName(),
+                            new MetricsTime(System.currentTimeMillis(), metricItem, timeout));
                 });
             } else {
                 // 当前执行级别的指标组列表未全执行完成,

collector/src/main/java/com/usthe/collector/dispatch/DispatchConstants.java

@@ -24,6 +24,10 @@ public interface DispatchConstants {
      * 协议 jdbc
      */
     String PROTOCOL_JDBC = "jdbc";
+    /**
+     * 协议 ssh
+     */
+    String PROTOCOL_SSH = "ssh";
     // 协议类型相关 - end //
 
     // http协议相关 - start 需尽可能先复用 HttpHeaders //

collector/src/main/java/com/usthe/collector/dispatch/MetricsCollect.java

@@ -6,6 +6,7 @@ import com.usthe.collector.collect.AbstractCollect;
 import com.usthe.collector.collect.database.JdbcCommonCollect;
 import com.usthe.collector.collect.http.HttpCollectImpl;
 import com.usthe.collector.collect.icmp.IcmpCollectImpl;
+import com.usthe.collector.collect.ssh.SshCollectImpl;
 import com.usthe.collector.collect.telnet.TelnetCollectImpl;
 import com.usthe.collector.dispatch.timer.Timeout;
 import com.usthe.collector.dispatch.timer.WheelTimerTask;
@@ -22,6 +23,7 @@ import java.util.HashMap;
 import java.util.LinkedList;
 import java.util.List;
 import java.util.Map;
+import java.util.Objects;
 import java.util.stream.Collectors;
 
 /**
@@ -32,6 +34,10 @@ import java.util.stream.Collectors;
 @Slf4j
 @Data
 public class MetricsCollect implements Runnable, Comparable<MetricsCollect> {
+    /**
+     * 调度告警阈值时间 100ms
+     */
+    private static final long WARN_DISPATCH_TIME = 100;
     /**
      * 监控ID
      */
@@ -111,6 +117,9 @@ public class MetricsCollect implements Runnable, Comparable<MetricsCollect> {
             case DispatchConstants.PROTOCOL_JDBC:
                 abstractCollect = JdbcCommonCollect.getInstance();
                 break;
+            case DispatchConstants.PROTOCOL_SSH:
+                abstractCollect = SshCollectImpl.getInstance();
+                break;
                 // todo
             default: break;
         }
@@ -168,14 +177,23 @@ public class MetricsCollect implements Runnable, Comparable<MetricsCollect> {
         if (metrics.getCalculates() == null) {
             metrics.setCalculates(Collections.emptyList());
         }
+        // eg: database_pages=Database pages 非常规映射
+        Map<String, String> fieldAliasMap = new HashMap<>(8);
         Map<String, Expression> fieldExpressionMap = metrics.getCalculates()
                 .stream()
                 .map(cal -> {
                     int splitIndex = cal.indexOf("=");
                     String field = cal.substring(0, splitIndex);
                     String expressionStr = cal.substring(splitIndex + 1);
-                    Expression expression = AviatorEvaluator.compile(expressionStr, true);
+                    Expression expression = null;
+                    try {
+                        expression = AviatorEvaluator.compile(expressionStr, true);
+                    } catch (Exception e) {
+                        fieldAliasMap.put(field, expressionStr);
+                        return null;
+                    }
                     return new Object[]{field, expression}; })
+                .filter(Objects::nonNull)
                 .collect(Collectors.toMap(arr -> (String)arr[0], arr -> (Expression) arr[1]));
 
         List<Metrics.Field> fields = metrics.getFields();
@@ -222,7 +240,16 @@ public class MetricsCollect implements Runnable, Comparable<MetricsCollect> {
                     }
                 } else {
                     // 不存在 则映射别名值
-                    value = aliasFieldValueMap.get(realField);
+                    String aliasField = fieldAliasMap.get(realField);
+                    if (aliasField != null) {
+                        value = aliasFieldValueMap.get(aliasField);
+                    } else {
+                        value = aliasFieldValueMap.get(realField);
+                    }
+                }
+                // 处理可能带单位的指标数值 比如 34%, 34Mb，并将数值小数点限制到4位
+                if (CommonConstants.TYPE_NUMBER == field.getType()) {
+                    value = CommonUtil.parseDoubleStr(value, field.getUnit());
                 }
                 if (value == null) {
                     value = CommonConstants.NULL_VALUE;
@@ -248,11 +275,15 @@ public class MetricsCollect implements Runnable, Comparable<MetricsCollect> {
     private CollectRep.MetricsData validateResponse(CollectRep.MetricsData.Builder builder) {
         long endTime = System.currentTimeMillis();
         builder.setTime(endTime);
-        log.debug("[Collect]: newTime: {}, startTime: {}, spendTime: {}.", newTime, startTime, endTime - startTime);
+        long runningTime = endTime - startTime;
+        long allTime = endTime - newTime;
+        if (startTime - newTime >= WARN_DISPATCH_TIME) {
+            log.warn("[Collector Dispatch Warn, Dispatch Use {}ms.", startTime - newTime);
+        }
         if (builder.getCode() != CollectRep.Code.SUCCESS) {
-            log.info("[Collect Fail] Reason: {}", builder.getMsg());
+            log.info("[Collect Failed, Run {}ms, All {}ms] Reason: {}", runningTime, allTime, builder.getMsg());
         } else {
-            log.info("[Collect Success].");
+            log.info("[Collect Success, Run {}ms, All {}ms].", runningTime, allTime);
         }
         return builder.build();
     }

collector/src/main/java/com/usthe/collector/dispatch/entrance/internal/CollectJobService.java

@@ -15,6 +15,7 @@ import java.util.concurrent.TimeUnit;
 
 /**
  * 采集job管理提供api接口
+ *
  * @author tomsun28
  * @date 2021/11/6 13:58
  */
@@ -26,9 +27,11 @@ public class CollectJobService {
     private TimerDispatch timerDispatch;
 
     /**
+     * Execute a one-time collection task and get the collected data response
      * 执行一次性采集任务,获取采集数据响应
-     * @param job 采集任务详情
-     * @return 采集结果
+     *
+     * @param job Collect task details  采集任务详情
+     * @return Collection results       采集结果
      */
     public List<CollectRep.MetricsData> collectSyncJobData(Job job) {
         final List<CollectRep.MetricsData> metricsData = new LinkedList<>();
@@ -52,9 +55,11 @@ public class CollectJobService {
     }
 
     /**
+     * Issue periodic asynchronous collection tasks
      * 下发周期性异步采集任务
-     * @param job 采集任务详情
-     * @return long 任务ID
+     *
+     * @param job Collect task details      采集任务详情
+     * @return long Job ID      任务ID
      */
     public long addAsyncCollectJob(Job job) {
         if (job.getId() == 0L) {
@@ -66,8 +71,10 @@ public class CollectJobService {
     }
 
     /**
+     * Update the periodic asynchronous collection tasks that have been delivered
      * 更新已经下发的周期性异步采集任务
-     * @param modifyJob 采集任务详情
+     *
+     * @param modifyJob Collect task details        采集任务详情
      */
     public void updateAsyncCollectJob(Job modifyJob) {
         timerDispatch.deleteJob(modifyJob.getId(), true);
@@ -75,8 +82,10 @@ public class CollectJobService {
     }
 
     /**
+     * Cancel periodic asynchronous collection tasks
      * 取消周期性异步采集任务
-     * @param jobId 任务ID
+     *
+     * @param jobId Job ID      任务ID
      */
     public void cancelAsyncCollectJob(Long jobId) {
         timerDispatch.deleteJob(jobId, true);

collector/src/main/java/com/usthe/collector/dispatch/timer/TimerDispatch.java

@@ -10,36 +10,44 @@ import java.util.concurrent.TimeUnit;
 
 /**
  * 时间轮调度接口
+ *
  * @author tomsun28
  * @date 2021/10/17 22:14
  */
 public interface TimerDispatch {
 
     /**
+     * Add new job
      * 增加新的job
-     * @param addJob job
-     * @param eventListener 一次性同步任务监听器，异步任务不需要listener
+     *
+     * @param addJob        job
+     * @param eventListener One-time synchronous task listener, asynchronous task does not need listener一次性同步任务监听器，异步任务不需要listener
      */
     void addJob(Job addJob, CollectResponseEventListener eventListener);
 
     /**
      * 调度循环周期性job
+     *
      * @param timerTask timerTask
-     * @param interval 开始调度的间隔时间
-     * @param timeUnit 时间单位
+     * @param interval  开始调度的间隔时间
+     * @param timeUnit  时间单位
      */
     void cyclicJob(WheelTimerTask timerTask, long interval, TimeUnit timeUnit);
 
     /**
+     * Delete existing job
      * 删除存在的job
-     * @param jobId jobId
-     * @param isCyclic 是否是周期性任务,true是, false为临时性任务
+     *
+     * @param jobId    jobId
+     * @param isCyclic Whether it is a periodic task, true is, false is a temporary task
+     *                 是否是周期性任务,true是, false为临时性任务
      */
     void deleteJob(long jobId, boolean isCyclic);
 
     /**
      * 一次性同步采集任务采集结果通知监听器
-     * @param jobId  jobId
+     *
+     * @param jobId            jobId
      * @param metricsDataTemps 采集结果数据
      */
     void responseSyncJobData(long jobId, List<CollectRep.MetricsData> metricsDataTemps);

collector/src/main/java/com/usthe/collector/dispatch/timer/TimerDispatcher.java

@@ -18,18 +18,22 @@ import java.util.concurrent.TimeUnit;
 public class TimerDispatcher implements TimerDispatch {
 
     /**
+     * time round schedule
      * 时间轮调度
      */
     private Timer wheelTimer;
     /**
+     * Existing periodic scheduled tasks
      * 已存在的周期性调度任务
      */
     private Map<Long, Timeout> currentCyclicTaskMap;
     /**
+     * Existing temporary scheduled tasks
      * 已存在的临时性调度任务
      */
     private Map<Long, Timeout> currentTempTaskMap;
     /**
+     * One-time task response listener holds
      * 一次性任务响应监听器持有
      * jobId - listener
      */

collector/src/main/java/com/usthe/collector/dispatch/timer/WheelTimerTask.java

@@ -12,6 +12,7 @@ import com.usthe.common.entity.job.Job;
 import com.usthe.common.entity.job.Metrics;
 import com.usthe.common.util.AesUtil;
 import com.usthe.common.util.CommonConstants;
+import com.usthe.common.util.GsonUtil;
 import lombok.extern.slf4j.Slf4j;
 
 import java.util.ArrayList;
@@ -21,7 +22,9 @@ import java.util.Map;
 import java.util.stream.Collectors;
 
 /**
+ * Timer Task implementation
  * TimerTask实现
+ *
  * @author tomsun28
  * @date 2021/11/1 17:18
  */
@@ -35,12 +38,15 @@ public class WheelTimerTask implements TimerTask {
     public WheelTimerTask(Job job) {
         this.metricsTaskDispatch = SpringContextHolder.getBean(MetricsTaskDispatch.class);
         this.job = job;
+        // The initialization job will monitor the actual parameter value and replace the collection field
         // 初始化job 将监控实际参数值对采集字段进行替换
         initJobMetrics(job);
     }
 
     /**
+     * Initialize job fill information
      * 初始化job填充信息
+     *
      * @param job job
      */
     private void initJobMetrics(Job job) {
@@ -72,9 +78,10 @@ public class WheelTimerTask implements TimerTask {
     }
 
     /**
-     * json参数替换
+     * json parameter replacement       json参数替换
+     *
      * @param jsonElement json
-     * @param configmap 参数map
+     * @param configmap   parameter map   参数map
      * @return json
      */
     private JsonElement replaceSpecialValue(JsonElement jsonElement, Map<String, Configmap> configmap) {
@@ -84,7 +91,30 @@ public class WheelTimerTask implements TimerTask {
             while (iterator.hasNext()) {
                 Map.Entry<String, JsonElement> entry = iterator.next();
                 JsonElement element = entry.getValue();
+                String key = entry.getKey();
+                // Replace the attributes of the KEY-VALUE case such as http headers params
+                // 替换KEY-VALUE情况的属性 比如http headers params
+                if (key != null && key.startsWith("^_^") && key.endsWith("^_^")) {
+                    key = key.replaceAll("\\^_\\^", "");
+                    Configmap param = configmap.get(key);
+                    if (param != null && param.getType() == (byte) 3) {
+                        String jsonValue = (String) param.getValue();
+                        Map<String, String> map = GsonUtil.fromJson(jsonValue, Map.class);
+                        if (map != null) {
+                            map.forEach((name, value) -> {
+                                if (name != null && !"".equals(name.trim())) {
+                                    jsonObject.addProperty(name, value);
+                                }
+                            });
+                        }
+                    }
+                    iterator.remove();
+                    continue;
+                }
+                // Replace normal VALUE value
+                // 替换正常的VALUE值
                 if (element.isJsonPrimitive()) {
+                    // Check if there are special characters Replace
                     // 判断是否含有特殊字符 替换
                     String value = element.getAsString();
                     if (value.startsWith("^_^") && value.endsWith("^_^")) {
@@ -108,6 +138,7 @@ public class WheelTimerTask implements TimerTask {
             while (iterator.hasNext()) {
                 JsonElement element = iterator.next();
                 if (element.isJsonPrimitive()) {
+                    // Check if there are special characters Replace
                     // 判断是否含有特殊字符 替换
                     String value = element.getAsString();
                     if (value.startsWith("^_^") && value.endsWith("^_^")) {

collector/src/main/java/com/usthe/collector/util/CollectUtil.java

@@ -0,0 +1,35 @@
+package com.usthe.collector.util;
+
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+
+/**
+ * 采集器工具类
+ * @author tom
+ * @date 2022/4/6 09:35
+ */
+public class CollectUtil {
+
+    /**
+     * 关键字匹配计数
+     * @param content 内容
+     * @param keyword 关键字
+     * @return 匹配次数
+     */
+    public static int countMatchKeyword(String content, String keyword) {
+        if (content == null || "".equals(content) || keyword == null || "".equals(keyword.trim())) {
+            return 0;
+        }
+        try {
+            Pattern pattern = Pattern.compile(keyword);
+            Matcher matcher = pattern.matcher(content);
+            int count = 0;
+            while (matcher.find()) {
+                count++;
+            }
+            return count;
+        } catch (Exception e) {
+            return 0;
+        }
+    }
+}

collector/src/main/java/com/usthe/collector/util/CollectorConstants.java

@@ -9,9 +9,16 @@ public interface CollectorConstants {
 
     String RESPONSE_TIME = "responseTime";
 
+    String KEYWORD = "keyword";
+
     String STATUS_CODE = "statusCode";
 
     String ERROR_MSG = "errorMsg";
 
     String URL = "url";
+
+    /**
+     * POSTGRESQL状态码 不可达
+     */
+    String POSTGRESQL_UN_REACHABLE_CODE = "08001";
 }

collector/src/main/java/com/usthe/collector/util/KeyPairUtil.java

@@ -0,0 +1,48 @@
+package com.usthe.collector.util;
+
+import lombok.extern.slf4j.Slf4j;
+
+import java.security.KeyFactory;
+import java.security.KeyPair;
+import java.security.PublicKey;
+import java.security.spec.X509EncodedKeySpec;
+import java.util.Base64;
+
+/**
+ * 密钥工具类
+ * @author tom
+ * @date 2022/4/2 17:04
+ */
+@Slf4j
+public class KeyPairUtil {
+
+    private static KeyFactory keyFactory;
+
+    static {
+        try {
+            keyFactory = KeyFactory.getInstance("RSA");
+        } catch (Exception e) {
+            log.error(e.getMessage(), e);
+        }
+    }
+
+    /**
+     * 获取密钥对
+     */
+    public static KeyPair getKeyPairFromPublicKey(String publicKeyStr) {
+        try {
+            if (publicKeyStr == null || "".equals(publicKeyStr)) {
+                return null;
+            }
+            // todo fix 公钥解析
+            byte[] publicKeyBytes = Base64.getDecoder().decode(publicKeyStr);
+            X509EncodedKeySpec keySpec = new X509EncodedKeySpec(publicKeyBytes);
+            PublicKey publicKey = keyFactory.generatePublic(keySpec);
+            return new KeyPair(publicKey, null);
+        } catch (Exception e) {
+            log.info("[keyPair] parse failed, {}." + e.getMessage());
+            return null;
+        }
+    }
+
+}

collector/src/main/resources/META-INF/spring.factories

@@ -6,4 +6,5 @@ com.usthe.collector.dispatch.MetricsCollectorQueue,\
 com.usthe.collector.dispatch.WorkerPool,\
 com.usthe.collector.dispatch.entrance.internal.CollectJobService,\
 com.usthe.collector.dispatch.export.MetricsDataExporter,\
-com.usthe.collector.util.SpringContextHolder
+com.usthe.collector.util.SpringContextHolder,\
+com.usthe.collector.collect.database.JdbcSpiLoader

collector/src/test/java/com/usthe/collector/collect/telnet/TelnetCollectImplTest.java

@@ -4,6 +4,7 @@ import org.apache.commons.net.telnet.TelnetClient;
 import org.junit.jupiter.api.Test;
 
 import java.io.IOException;
+import java.net.ConnectException;
 
 import static org.junit.jupiter.api.Assertions.*;
 
@@ -20,7 +21,7 @@ class TelnetCollectImplTest {
             telnetClient = new TelnetClient("vt200");
             telnetClient.setConnectTimeout(5000);
             TelnetClient finalTelnetClient = telnetClient;
-            assertDoesNotThrow(() -> finalTelnetClient.connect("baidu.com",80));
+            assertThrows(ConnectException.class,() -> finalTelnetClient.connect("127.0.0.1",0));
             telnetClient.disconnect();
         } catch (IOException e) {
             e.printStackTrace();

common/src/main/java/com/usthe/common/entity/alerter/Alert.java

@@ -23,7 +23,8 @@ import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_ONLY;
 import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_WRITE;
 
 /**
- * 告警记录
+ * Alarm record entity 告警记录实体
+ *
  * @author tom
  * @date 2021/12/9 15:37
  */
@@ -33,52 +34,68 @@ import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_WRITE;
 @Builder
 @AllArgsConstructor
 @NoArgsConstructor
-@ApiModel(description = "告警记录实体")
+@ApiModel(description = "en: Alarm record entity zh: 告警记录实体")
 public class Alert {
 
     @Id
     @GeneratedValue(strategy = GenerationType.IDENTITY)
-    @ApiModelProperty(value = "告警记录实体主键索引ID", example = "87584674384", accessMode = READ_ONLY, position = 0)
+    @ApiModelProperty(value = "Alarm record entity primary key index ID",
+            notes = "告警记录实体主键索引ID",
+            example = "87584674384", accessMode = READ_ONLY, position = 0)
     private Long id;
 
-    @ApiModelProperty(value = "告警目标对象: 监控可用性-available 指标-app.metrics.field",
+    @ApiModelProperty(value = "Alert target object: monitor availability-available metrics-app.metrics.field",
+            notes = "告警目标对象: 监控可用性-available 指标-app.metrics.field",
             example = "1", accessMode = READ_WRITE, position = 1)
     @Length(max = 255)
     private String target;
 
-    @ApiModelProperty(value = "告警对象关联的监控ID", example = "87432674336", accessMode = READ_WRITE, position = 2)
+    @ApiModelProperty(value = "Monitoring ID associated with the alarm object",
+            notes = "告警对象关联的监控ID",
+            example = "87432674336", accessMode = READ_WRITE, position = 2)
     private Long monitorId;
 
-    @ApiModelProperty(value = "告警对象关联的监控名称", example = "Linux_192.132.23.1",
-            accessMode = READ_WRITE, position = 3)
+    @ApiModelProperty(value = "Monitoring name associated with the alarm object",
+            notes = "告警对象关联的监控名称",
+            example = "Linux_192.132.23.1", accessMode = READ_WRITE, position = 3)
     private String monitorName;
 
-    @ApiModelProperty(value = "告警关联的告警定义ID", example = "8743267443543", accessMode = READ_WRITE, position = 4)
+    @ApiModelProperty(value = "Alarm definition ID associated with the alarm",
+            notes = "告警关联的告警定义ID",
+            example = "8743267443543", accessMode = READ_WRITE, position = 4)
     private Long alertDefineId;
 
-    @ApiModelProperty(value = "告警级别 0:高-emergency-紧急告警-红色 1:中-critical-严重告警-橙色 2:低-warning-警告告警-黄色",
+    @ApiModelProperty(value = "Alarm level 0: high-emergency-critical alarm-red 1: medium-critical-critical alarm-orange 2: low-warning-warning alarm-yellow",
+            notes = "告警级别 0:高-emergency-紧急告警-红色 1:中-critical-严重告警-橙色 2:低-warning-警告告警-黄色",
             example = "1", accessMode = READ_WRITE, position = 5)
     @Min(0)
     @Max(2)
     private byte priority;
 
-    @ApiModelProperty(value = "告警通知实际内容", example = "linux_192.134.32.1: 534543534 cpu usage high",
+    @ApiModelProperty(value = "The actual content of the alarm notification",
+            notes = "告警通知实际内容",
+            example = "linux_192.134.32.1: 534543534 cpu usage high",
             accessMode = READ_WRITE, position = 6)
     @Length(max = 1024)
     private String content;
 
-    @ApiModelProperty(value = "告警状态: 0-正常告警(待处理) 1-阈值触发但未达到告警次数 2-恢复告警 3-已处理",
+    @ApiModelProperty(value = "Alarm status: 0-normal alarm (to be processed) 1-threshold triggered but not reached the number of alarms 2-recovered alarm 3-processed",
+            notes = "告警状态: 0-正常告警(待处理) 1-阈值触发但未达到告警次数 2-恢复告警 3-已处理",
             example = "1", accessMode = READ_WRITE, position = 7)
     @Min(0)
     @Max(2)
     private byte status;
 
-    @ApiModelProperty(value = "告警阈值触发次数", example = "3", accessMode = READ_WRITE, position = 8)
+    @ApiModelProperty(value = "Alarm threshold trigger times",
+            notes = "告警阈值触发次数",
+            example = "3", accessMode = READ_WRITE, position = 8)
     @Min(0)
     @Max(10)
     private int times;
 
-    @ApiModelProperty(value = "告警触发时间(毫秒时间戳)", example = "1612198922000", accessMode = READ_ONLY, position = 9)
+    @ApiModelProperty(value = "Alarm trigger time (timestamp in milliseconds)",
+            notes = "告警触发时间(毫秒时间戳)",
+            example = "1612198922000", accessMode = READ_ONLY, position = 9)
     @Column(insertable = false, updatable = false)
     private LocalDateTime gmtCreate;
 

common/src/main/java/com/usthe/common/entity/job/Configmap.java

@@ -6,8 +6,12 @@ import lombok.Data;
 import lombok.NoArgsConstructor;
 
 /**
+ * Monitoring configuration parameter properties and values
  * 监控配置参数属性及值
+ * During the process, you need to replace the content with the identifier ^_^key^_^
+ * in the protocol configuration parameter with the real value in the configuration parameter
  * 过程中需要将协议配置参数里面的标识符为^_^key^_^的内容替换为配置参数里的真实值
+ *
  * @author tomsun28
  * @date 2021/10/29 22:04
  */
@@ -18,17 +22,21 @@ import lombok.NoArgsConstructor;
 public class Configmap {
 
     /**
+     * Parameter key, replace the content with the identifier ^^_key_^^ in the protocol
+     * configuration parameter with the real value in the configuration parameter
+     * <p>
      * 参数key,将协议配置参数里面的标识符为^^_key_^^的内容替换为配置参数里的真实值
      */
     private String key;
 
     /**
-     * 参数value
+     * parameter value  参数value
      */
     private Object value;
 
     /**
-     * 参数类型 0:数字 1:字符串 2:加密串
+     * Parameter type 0: number 1: string 2: encrypted string 3: json string mapped by map
+     * 参数类型 0:数字 1:字符串 2:加密串 3:map映射的json串
      * number,string,secret
      * 数字,非加密字符串,加密字符串
      */

common/src/main/java/com/usthe/common/entity/job/Job.java

@@ -21,7 +21,9 @@ import java.util.Set;
 import java.util.stream.Collectors;
 
 /**
+ * Collect task details
  * 采集任务详情
+ *
  * @author tomsun28
  * @date 2021/10/17 21:19
  */
@@ -35,61 +37,72 @@ public class Job {
     private static final String AVAILABILITY = "availability";
 
     /**
-     * 任务ID
+     * Task id      任务ID
      */
     private long id;
     /**
+     * Monitoring ID Application ID
      * 监控ID 应用ID
      */
     private long monitorId;
     /**
-     * 监控的大类别
+     * Large categories of monitoring       监控的大类别
+     * service-application service monitoring db-database monitoring custom-custom monitoring os-operating system monitoring
      * service-应用服务监控 db-数据库监控 custom-自定义监控 os-操作系统监控
      */
     private String category;
     /**
+     * Type of monitoring eg: linux | mysql | jvm
      * 监控的类型 eg: linux | mysql | jvm
      */
     private String app;
     /**
-     * 监控类型的国际化名称
+     * The internationalized name of the monitoring type    监控类型的国际化名称
      * zh-CN: PING连通性
      * en-US: PING CONNECT
      */
     private Map<String, String> name;
     /**
+     * Task dispatch start timestamp
      * 任务派发开始时间戳
      */
     private long timestamp;
     /**
+     * Task collection time interval (unit: second) eg: 30,60,600
      * 任务采集时间间隔(单位秒) eg: 30,60,600
      */
     private long interval = 600L;
     /**
+     * Whether it is a recurring periodic task true is yes, false is no
      * 是否是循环周期性任务 true为是,false为否
      */
     private boolean isCyclic = false;
     /**
+     * Indicator group configuration eg: cpu memory
      * 指标组配置 eg: cpu memory
      */
     private List<Metrics> metrics;
     /**
+     * Monitoring configuration parameter properties and values eg: username password timeout host
      * 监控配置参数属性及值 eg: username password timeout host
      */
     private List<Configmap> configmap;
 
     /**
+     * collector use - timestamp when the task was scheduled by the time wheel
      * collector使用 - 任务被时间轮开始调度的时间戳
      */
     @JsonIgnore
     private transient long dispatchTime;
 
     /**
+     * collector use - task version, this field is not stored in etcd
      * collector使用 - 任务版本,此字段不存储于etcd
      */
     @JsonIgnore
     private transient long version;
     /**
+     * collector usage - metric group task execution priority view
      * collector使用 - 指标组任务执行优先级视图
      * 0 - availability
      * 1 - cpu | memory
@@ -103,27 +116,32 @@ public class Job {
     private transient List<Set<Metrics>> priorMetrics;
 
     /**
+     * collector use - Temporarily store one-time task indicator group response data
      * collector使用 - 临时存储一次性任务指标组响应数据
      */
     @JsonIgnore
     private transient List<CollectRep.MetricsData> responseDataTemp;
 
     /**
+     * collector uses - construct to initialize metrics group execution view
      * collector使用 - 构造初始化指标组执行视图
      */
     public synchronized void constructPriorMetrics() {
         Map<Byte, List<Metrics>> map = metrics.stream()
                 .peek(metric -> {
+                    // Determine whether to configure aliasFields If not, configure the default
                     // 判断是否配置aliasFields 没有则配置默认
                     if (metric.getAliasFields() == null || metric.getAliasFields().isEmpty()) {
                         metric.setAliasFields(metric.getFields().stream().map(Metrics.Field::getField).collect(Collectors.toList()));
                     }
+                    // Set the default indicator group execution priority, if not filled, the default last priority
                     // 设置默认的指标组执行优先级,不填则默认最后优先级
                     if (metric.getPriority() == null) {
                         metric.setPriority(Byte.MAX_VALUE);
                     }
                 })
                 .collect(Collectors.groupingBy(Metrics::getPriority));
+        // Construct a linked list of task execution order of the indicator group
         // 构造指标组任务执行顺序链表
         priorMetrics = new LinkedList<>();
         map.values().forEach(metric -> {
@@ -141,12 +159,18 @@ public class Job {
     }
 
     /**
+     * collector use - to get the next set of priority metric group tasks
      * collector使用 - 获取下一组优先级的指标组任务
-     * @param metrics 当前指标组
-     * @param first 是否是第一次获取
-     * @return 指标组任务
+     *
+     * @param metrics Current indicator group       当前指标组
+     * @param first   Is it the first time to get     是否是第一次获取
+     * @return Metric Group Tasks       指标组任务
+     * Returning null means: the job has been completed, and the collection of all indicator groups has ended
      * 返回null表示：job已完成,所有指标组采集结束
+     * Returning the empty set indicates that there are still indicator group collection tasks at the current
+     * level that have not been completed,and the next level indicator group task collection cannot be performed.
      * 返回empty的集合表示：当前级别下还有指标组采集任务未结束,无法进行下一级别的指标组任务采集
+     * Returns a set of data representation: get the next set of priority index group tasks
      * 返回有数据集合表示：获取到下一组优先级的指标组任务
      */
     public synchronized Set<Metrics> getNextCollectMetrics(Metrics metrics, boolean first) {
@@ -166,7 +190,7 @@ public class Job {
             return null;
         }
         if (!metricsSet.remove(metrics)) {
-            log.error("Job {} appId {} app {} metrics {} remove empty error in priorMetrics.",
+            log.warn("Job {} appId {} app {} metrics {} remove empty error in priorMetrics.",
                     id, monitorId, app, metrics.getName());
         }
         if (metricsSet.isEmpty()) {
@@ -189,7 +213,7 @@ public class Job {
 
     @Override
     public Job clone() {
-        // 深度克隆
+        // deep clone   深度克隆
         return GsonUtil.fromJson(GsonUtil.toJson(this), Job.class);
     }
 }

common/src/main/java/com/usthe/common/entity/job/Metrics.java

@@ -3,6 +3,7 @@ package com.usthe.common.entity.job;
 import com.usthe.common.entity.job.protocol.HttpProtocol;
 import com.usthe.common.entity.job.protocol.IcmpProtocol;
 import com.usthe.common.entity.job.protocol.JdbcProtocol;
+import com.usthe.common.entity.job.protocol.SshProtocol;
 import com.usthe.common.entity.job.protocol.TcpUdpProtocol;
 import com.usthe.common.entity.job.protocol.TelnetProtocol;
 import lombok.AllArgsConstructor;
@@ -14,7 +15,10 @@ import java.util.List;
 import java.util.Objects;
 
 /**
+ * Details of the collection of indicators collected by monitoring
+ * eg: cpu | memory | health
  * 监控采集的指标集合详情 eg: cpu | memory | health
+ *
  * @author tomsun28
  * @date 2021/10/17 21:24
  */
@@ -25,6 +29,7 @@ import java.util.Objects;
 public class Metrics {
 
     /**
+     * public property-name eg: cpu | memory | health
      * 公共属性-名称 eg: cpu | memory | health
      */
     private String name;
@@ -33,20 +38,27 @@ public class Metrics {
      */
     private String protocol;
     /**
+     * Range (0-127) indicator group scheduling priority, the smaller the value, the higher the priority
+     * The collection task of the next priority indicator group will be scheduled only after the scheduled collection with the higher priority is completed.
+     * The default priority of the availability indicator group is 0, and the range of other common indicator groups is 1-127, that is,
+     * the subsequent indicator group tasks will only be scheduled after the availability is collected successfully.
      * 范围(0-127)指标组调度优先级,数值越小优先级越高
      * 优先级高的调度采集完成后才会调度下一优先级的指标组采集任务
      * 可用性指标组(availability)默认优先级为0,其它普通指标组范围为1-127,即需要等availability采集成功后才会调度后面的指标组任务
      */
     private Byte priority;
     /**
+     * Public attribute - collection and monitoring final result attribute set eg: speed | times | size
      * 公共属性-采集监控的最终结果属性集合 eg: speed | times | size
      */
     private List<Field> fields;
     /**
+     * Public attribute - collection and monitoring pre-query attribute set eg: size1 | size2 | speedSize
      * 公共属性-采集监控的前置查询属性集合 eg: size1 | size2 | speedSize
      */
     private List<String> aliasFields;
     /**
+     * Public attribute - expression calculation, map the pre-query attribute (pre Fields) with the final attribute (fields), and calculate the final attribute (fields) value
      * 公共属性-表达式计算，将前置查询属性(preFields)与最终属性(fields)映射,计算出最终属性(fields)值
      * eg: size = size1 + size2, speed = speedSize
      * https://www.yuque.com/boyan-avfmj/aviatorscript/ban32m
@@ -54,25 +66,35 @@ public class Metrics {
     private List<String> calculates;
 
     /**
+     * Monitoring configuration information using the http protocol
      * 使用http协议的监控配置信息
      */
     private HttpProtocol http;
     /**
+     * Monitoring configuration information for ping using the icmp protocol
      * 使用icmp协议进行ping的监控配置信息
      */
     private IcmpProtocol icmp;
     /**
+     * Monitoring configuration information using the telnet protocol
      * 使用telnet协议的监控配置信息
      */
     private TelnetProtocol telnet;
     /**
+     * Use tcp or ucp implemented by socket for service port detection configuration information
      * 使用socket实现的tcp或ucp进行服务端口探测配置信息
      */
     private TcpUdpProtocol tcpUdp;
     /**
+     * Database configuration information implemented using the public jdbc specification
      * 使用公共的jdbc规范实现的数据库配置信息
      */
     private JdbcProtocol jdbc;
+    /**
+     * Monitoring configuration information using the public ssh protocol
+     * 使用公共的ssh协议的监控配置信息
+     */
+    private SshProtocol ssh;
 
     @Override
     public boolean equals(Object o) {
@@ -96,18 +118,22 @@ public class Metrics {
     @NoArgsConstructor
     public static class Field {
         /**
+         * Indicator name
          * 指标名称
          */
         private String field;
         /**
+         * Indicator type 0-number: number 1-string: string
          * 指标类型 0-number:数字 1-string:字符串
          */
         private byte type = 1;
         /**
+         * Whether this field is the instance primary key
          * 此字段是否为实例主键
          */
         private boolean instance = false;
         /**
+         * Indicator unit
          * 指标单位
          */
         private String unit;

common/src/main/java/com/usthe/common/entity/job/protocol/HttpProtocol.java

@@ -49,7 +49,6 @@ public class HttpProtocol {
      * http请求携带的请求体
      */
     private String payload;
-
     /**
      * 认证信息
      */
@@ -66,6 +65,10 @@ public class HttpProtocol {
      * 数据解析脚本 当解析方式为 jsonPath or xmlPath时存在
      */
     private String parseScript;
+    /**
+     * 内容关键字
+     */
+    private String keyword;
 
     /**
      * 认证信息

common/src/main/java/com/usthe/common/entity/job/protocol/JdbcProtocol.java

@@ -35,6 +35,10 @@ public class JdbcProtocol {
      * 数据库
      */
     private String database;
+    /**
+     * 超时时间
+     */
+    private String timeout;
     /**
      * 数据库类型 mysql oracle ...
      */

common/src/main/java/com/usthe/common/entity/job/protocol/SshProtocol.java

@@ -0,0 +1,58 @@
+package com.usthe.common.entity.job.protocol;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+/**
+ * ssh 协议参数配置
+ * @author tom
+ * @date 2022/3/11 15:20
+ */
+@Data
+@Builder
+@AllArgsConstructor
+@NoArgsConstructor
+public class SshProtocol {
+
+    /**
+     * 对端主机ip或域名
+     */
+    private String host;
+
+    /**
+     * 对端主机端口
+     */
+    private String port;
+
+    /**
+     * 超时时间
+     */
+    private String timeout;
+
+    /**
+     * 用户名
+     */
+    private String username;
+
+    /**
+     * 密码(可选)
+     */
+    private String password;
+
+    /**
+     * 公钥(可选)
+     */
+    private String publicKey;
+
+    /**
+     * SSH执行脚本
+     */
+    private String script;
+
+    /**
+     * 响应数据解析方式：oneRow, multiRow
+     */
+    private String parseType;
+}

common/src/main/java/com/usthe/common/entity/manager/JsonOptionListAttributeConverter.java

@@ -15,7 +15,6 @@ public class JsonOptionListAttributeConverter implements AttributeConverter<List
     @Override
     public String convertToDatabaseColumn(List<ParamDefine.Option> attribute) {
         return GsonUtil.toJson(attribute);
-
     }
 
     @Override

common/src/main/java/com/usthe/common/entity/manager/Monitor.java

@@ -22,7 +22,9 @@ import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_ONLY;
 import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_WRITE;
 
 /**
+ * Monitor Entity
  * 监控实体
+ *
  * @author tomsun28
  * @date 2021/11/14 9:53
  */
@@ -32,20 +34,26 @@ import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_WRITE;
 @Builder
 @AllArgsConstructor
 @NoArgsConstructor
-@ApiModel(description = "监控实体")
+@ApiModel(description = "en: Monitor Entity,zh: 监控实体")
 public class Monitor {
 
+    /**
+     * Monitor ID
+     * 主键ID
+     */
     @Id
     @ApiModelProperty(value = "监控ID", example = "87584674384", accessMode = READ_ONLY, position = 0)
     private Long id;
 
     /**
+     * Job ID
      * 监控对应下发的任务ID
      */
     @ApiModelProperty(value = "任务ID", example = "43243543543", accessMode = READ_ONLY, position = 1)
     private Long jobId;
 
     /**
+     * Monitor Name
      * 监控的名称
      */
     @ApiModelProperty(value = "监控名称", example = "Api-TanCloud.cn", accessMode = READ_WRITE, position = 2)
@@ -53,6 +61,7 @@ public class Monitor {
     private String name;
 
     /**
+     * Type of monitoring: linux, mysql, jvm...
      * 监控的类型:linux,mysql,jvm...
      */
     @ApiModelProperty(value = "监控类型", example = "TanCloud", accessMode = READ_WRITE, position = 3)
@@ -60,6 +69,7 @@ public class Monitor {
     private String app;
 
     /**
+     * Monitored peer host: ipv4, ipv6, domain name
      * 监控的对端host:ipv4,ipv6,域名
      */
     @ApiModelProperty(value = "监控的对端host", example = "192.167.25.11", accessMode = READ_WRITE, position = 4)
@@ -68,6 +78,7 @@ public class Monitor {
     private String host;
 
     /**
+     * Monitoring collection interval time, in seconds
      * 监控的采集间隔时间,单位秒
      */
     @ApiModelProperty(value = "监控的采集间隔时间,单位秒", example = "600", accessMode = READ_WRITE, position = 5)
@@ -75,6 +86,7 @@ public class Monitor {
     private Integer intervals;
 
     /**
+     * Monitoring status 0: Unmonitored, 1: Available, 2: Unavailable, 3: Unreachable, 4: Suspended
      * 监控状态 0:未监控,1:可用,2:不可用,3:不可达,4:挂起
      */
     @ApiModelProperty(value = "监控状态 0:未监控,1:可用,2:不可用,3:不可达,4:挂起", accessMode = READ_WRITE, position = 6)
@@ -83,6 +95,7 @@ public class Monitor {
     private byte status;
 
     /**
+     * Monitoring note description
      * 监控备注描述
      */
     @ApiModelProperty(value = "监控备注描述", example = "对SAAS网站TanCloud的可用性监控", accessMode = READ_WRITE, position = 7)
@@ -90,18 +103,21 @@ public class Monitor {
     private String description;
 
     /**
+     * The creator of this record
      * 此条记录创建者
      */
     @ApiModelProperty(value = "此条记录创建者", example = "tom", accessMode = READ_ONLY, position = 8)
     private String creator;
 
     /**
+     * This record was last modified by
      * 此条记录最新修改者
      */
     @ApiModelProperty(value = "此条记录最新修改者", example = "tom", accessMode = READ_ONLY, position = 9)
     private String modifier;
 
     /**
+     * record creation time (millisecond timestamp)
      * 记录创建时间
      */
     @ApiModelProperty(value = "记录创建时间(毫秒时间戳)", example = "1612198922000", accessMode = READ_ONLY, position = 10)
@@ -109,6 +125,7 @@ public class Monitor {
     private LocalDateTime gmtCreate;
 
     /**
+     * Record the latest modification time (timestamp in milliseconds)
      * 记录最新修改时间
      */
     @ApiModelProperty(value = "记录最新修改时间(毫秒时间戳)", example = "1612198444000", accessMode = READ_ONLY, position = 11)

common/src/main/java/com/usthe/common/entity/manager/NoticeReceiver.java

@@ -23,7 +23,9 @@ import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_ONLY;
 import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_WRITE;
 
 /**
+ * Message notification recipient entity
  * 消息通知接收人实体
+ *
  * @author tomsun28
  * @date 2021/11/13 22:19
  */
@@ -33,56 +35,80 @@ import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_WRITE;
 @Builder
 @AllArgsConstructor
 @NoArgsConstructor
-@ApiModel(description = "消息通知接收人实体")
+@ApiModel(description = "en: Message notification recipient entity,zh:消息通知接收人实体")
 public class NoticeReceiver {
 
     @Id
     @GeneratedValue(strategy = GenerationType.IDENTITY)
-    @ApiModelProperty(value = "接收人实体主键索引ID", example = "87584674384", accessMode = READ_ONLY, position = 0)
+    @ApiModelProperty(value = "Recipient entity primary key index ID",
+            notes = "接收人实体主键索引ID",
+            example = "87584674384", accessMode = READ_ONLY, position = 0)
     private Long id;
 
-    @ApiModelProperty(value = "接收人名称", example = "tom", accessMode = READ_WRITE, position = 1)
+    @ApiModelProperty(value = "Recipient name",
+            notes = "接收人名称",
+            example = "tom", accessMode = READ_WRITE, position = 1)
     @Length(max = 100)
     @NotNull
     private String name;
 
-    @ApiModelProperty(value = "通知信息方式: 0-手机短信 1-邮箱 2-webhook 3-微信公众号 4-企业微信机器人 5-钉钉机器人 6-飞书机器人", accessMode = READ_WRITE, position = 2)
+    @ApiModelProperty(value = "Notification information method: 0-SMS 1-Email 2-webhook 3-WeChat Official Account 4-Enterprise WeChat Robot 5-DingTalk Robot 6-FeiShu Robot",
+            notes = "通知信息方式: 0-手机短信 1-邮箱 2-webhook 3-微信公众号 4-企业微信机器人 5-钉钉机器人 6-飞书机器人",
+            accessMode = READ_WRITE, position = 2)
     @Min(0)
     @Max(8)
     @NotNull
     private Byte type;
 
-    @ApiModelProperty(value = "手机号, 通知方式为手机短信时有效", example = "18923435643", accessMode = READ_WRITE, position = 3)
+    @ApiModelProperty(value = "Mobile number: Valid when the notification method is SMS",
+            notes = "手机号 :  通知方式为手机短信时有效",
+            example = "18923435643", accessMode = READ_WRITE, position = 3)
     @Length(max = 100)
     private String phone;
 
-    @ApiModelProperty(value = "邮箱账号, 通知方式为邮箱时有效", example = "tom@qq.com", accessMode = READ_WRITE, position = 4)
+    @ApiModelProperty(value = "Email account: Valid when the notification method is email",
+            notes = "邮箱账号 : 通知方式为邮箱时有效",
+            example = "tom@qq.com", accessMode = READ_WRITE, position = 4)
     @Length(max = 100)
     private String email;
 
-    @ApiModelProperty(value = "URL地址, 通知方式为webhook有效", example = "https://www.tancloud.cn", accessMode = READ_WRITE, position = 5)
+    @ApiModelProperty(value = "URL address: The notification method is valid for webhook",
+            notes = "URL地址 : 通知方式为webhook有效",
+            example = "https://www.tancloud.cn", accessMode = READ_WRITE, position = 5)
     @Length(max = 300)
     private String hookUrl;
 
-    @ApiModelProperty(value = "openId, 通知方式为微信公众号或企业微信机器人有效", example = "343432", accessMode = READ_WRITE, position = 6)
+    @ApiModelProperty(value = "openId : The notification method is valid for WeChat official account or enterprise WeChat robot",
+            notes = "openId : 通知方式为微信公众号或企业微信机器人有效",
+            example = "343432", accessMode = READ_WRITE, position = 6)
     @Length(max = 300)
     private String wechatId;
 
-    @ApiModelProperty(value = "访问token, 通知方式为钉钉机器人有效", example = "34823984635647", accessMode = READ_WRITE, position = 7)
+    @ApiModelProperty(value = "Access token : The notification method is valid for DingTalk robot",
+            notes = "访问token : 通知方式为钉钉机器人有效",
+            example = "34823984635647", accessMode = READ_WRITE, position = 7)
     @Length(max = 300)
     private String accessToken;
 
-    @ApiModelProperty(value = "此条记录创建者", example = "tom", accessMode = READ_ONLY, position = 7)
+    @ApiModelProperty(value = "The creator of this record",
+            notes = "此条记录创建者",
+            example = "tom", accessMode = READ_ONLY, position = 7)
     private String creator;
 
-    @ApiModelProperty(value = "此条记录最新修改者", example = "tom", accessMode = READ_ONLY, position = 8)
+    @ApiModelProperty(value = "This record was last modified by",
+            notes = "此条记录最新修改者",
+            example = "tom", accessMode = READ_ONLY, position = 8)
     private String modifier;
 
-    @ApiModelProperty(value = "记录创建时间(毫秒时间戳)", example = "1612198922000", accessMode = READ_ONLY, position = 9)
+    @ApiModelProperty(value = "Record creation time (millisecond timestamp)",
+            notes = "记录创建时间(毫秒时间戳)",
+            example = "1612198922000", accessMode = READ_ONLY, position = 9)
     @Column(insertable = false, updatable = false)
     private LocalDateTime gmtCreate;
 
-    @ApiModelProperty(value = "记录最新修改时间(毫秒时间戳)", example = "1612198444000", accessMode = READ_ONLY, position = 10)
+    @ApiModelProperty(value = "Record the latest modification time (timestamp in milliseconds)",
+            notes = "记录最新修改时间(毫秒时间戳)",
+            example = "1612198444000", accessMode = READ_ONLY, position = 10)
     @Column(insertable = false, updatable = false)
     private LocalDateTime gmtUpdate;
 

common/src/main/java/com/usthe/common/entity/manager/NoticeRule.java

@@ -21,7 +21,9 @@ import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_ONLY;
 import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_WRITE;
 
 /**
+ * Notification strategy entity
  * 通知策略
+ *
  * @author tomsun28
  * @date 2021/11/13 22:19
  */
@@ -31,45 +33,65 @@ import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_WRITE;
 @Builder
 @AllArgsConstructor
 @NoArgsConstructor
-@ApiModel(description = "通知策略实体")
+@ApiModel(description = "en: Notify Policy Entity,zh: 通知策略实体")
 public class NoticeRule {
 
     @Id
     @GeneratedValue(strategy = GenerationType.IDENTITY)
-    @ApiModelProperty(value = "通知策略实体主键索引ID", example = "87584674384", accessMode = READ_ONLY, position = 0)
+    @ApiModelProperty(value = "Notification Policy Entity Primary Key Index ID",
+            notes = "通知策略实体主键索引ID",
+            example = "87584674384", accessMode = READ_ONLY, position = 0)
     private Long id;
 
-    @ApiModelProperty(value = "策略名称", example = "dispatch-1", accessMode = READ_WRITE, position = 1)
+    @ApiModelProperty(value = "Policy name",
+            notes = "策略名称",
+            example = "dispatch-1", accessMode = READ_WRITE, position = 1)
     @Length(max = 100)
     @NotNull
     private String name;
 
-    @ApiModelProperty(value = "接收人ID", example = "4324324", accessMode = READ_WRITE, position = 2)
+    @ApiModelProperty(value = "Recipient ID",
+            notes = "接收人ID",
+            example = "4324324", accessMode = READ_WRITE, position = 2)
     @NotNull
     private Long receiverId;
 
-    @ApiModelProperty(value = "接收人标识", example = "tom", accessMode = READ_WRITE, position = 3)
+    @ApiModelProperty(value = "Recipient identification",
+            notes = "接收人标识",
+            example = "tom", accessMode = READ_WRITE, position = 3)
     @Length(max = 100)
     @NotNull
     private String receiverName;
 
-    @ApiModelProperty(value = "是否启用此策略", example = "true", accessMode = READ_WRITE, position = 4)
+    @ApiModelProperty(value = "Whether to enable this policy",
+            notes = "是否启用此策略",
+            example = "true", accessMode = READ_WRITE, position = 4)
     private boolean enable = true;
 
-    @ApiModelProperty(value = "是否转发所有", example = "false", accessMode = READ_WRITE, position = 5)
+    @ApiModelProperty(value = "Whether to forward all",
+            notes = "是否转发所有",
+            example = "false", accessMode = READ_WRITE, position = 5)
     private boolean filterAll = true;
 
-    @ApiModelProperty(value = "此条记录创建者", example = "tom", accessMode = READ_ONLY, position = 7)
+    @ApiModelProperty(value = "The creator of this record",
+            notes = "此条记录创建者",
+            example = "tom", accessMode = READ_ONLY, position = 7)
     private String creator;
 
-    @ApiModelProperty(value = "此条记录最新修改者", example = "tom", accessMode = READ_ONLY, position = 8)
+    @ApiModelProperty(value = "This record was last modified by",
+            notes = "此条记录最新修改者",
+            example = "tom", accessMode = READ_ONLY, position = 8)
     private String modifier;
 
-    @ApiModelProperty(value = "记录创建时间(毫秒时间戳)", example = "1612198922000", accessMode = READ_ONLY, position = 9)
+    @ApiModelProperty(value = "This record creation time (millisecond timestamp)",
+            notes = "记录创建时间(毫秒时间戳)",
+            example = "1612198922000", accessMode = READ_ONLY, position = 9)
     @Column(insertable = false, updatable = false)
     private LocalDateTime gmtCreate;
 
-    @ApiModelProperty(value = "记录最新修改时间(毫秒时间戳)", example = "1612198444000", accessMode = READ_ONLY, position = 10)
+    @ApiModelProperty(value = "Record the latest modification time (timestamp in milliseconds)",
+            notes = "记录最新修改时间(毫秒时间戳)",
+            example = "1612198444000", accessMode = READ_ONLY, position = 10)
     @Column(insertable = false, updatable = false)
     private LocalDateTime gmtUpdate;
 

common/src/main/java/com/usthe/common/entity/manager/Param.java

@@ -23,7 +23,9 @@ import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_ONLY;
 import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_WRITE;
 
 /**
+ * Monitor parameter values
  * 监控参数值
+ *
  * @author tomsun28
  * @date 2021/11/13 22:19
  */
@@ -33,21 +35,26 @@ import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_WRITE;
 @Builder
 @AllArgsConstructor
 @NoArgsConstructor
-@ApiModel(description = "参数实体")
+@ApiModel(description = "嗯： Parameter Entity,zh: 参数实体")
 public class Param {
 
+    /**
+     * Parameter primary key index ID
+     */
     @Id
     @GeneratedValue(strategy = GenerationType.IDENTITY)
     @ApiModelProperty(value = "参数主键索引ID", example = "87584674384", accessMode = READ_ONLY, position = 0)
     private Long id;
 
     /**
+     * Monitor ID
      * 监控ID
      */
     @ApiModelProperty(value = "监控ID", example = "875846754543", accessMode = READ_WRITE, position = 1)
     private Long monitorId;
 
     /**
+     * Parameter Field Identifier
      * 参数字段标识符
      */
     @ApiModelProperty(value = "参数标识符字段", example = "port", accessMode = READ_WRITE, position = 2)
@@ -56,21 +63,24 @@ public class Param {
     private String field;
 
     /**
+     * Param Value
      * 参数值
      */
     @ApiModelProperty(value = "参数值", example = "8080", accessMode = READ_WRITE, position = 3)
-    @Length(max = 255)
+    @Length(max = 8126)
     private String value;
 
     /**
-     * 参数类型 0:数字 1:字符串 2:加密串
+     * Parameter type 0: number 1: string 2: encrypted string 3: json string mapped by map
+     * 参数类型 0:数字 1:字符串 2:加密串 3:map映射的json串
      */
-    @ApiModelProperty(value = "参数类型 0:数字 1:字符串 2:加密串", accessMode = READ_WRITE, position = 4)
+    @ApiModelProperty(value = "参数类型 0:数字 1:字符串 2:加密串 3:map映射的json串", accessMode = READ_WRITE, position = 4)
     @Min(0)
-    @Max(2)
+    @Max(3)
     private byte type;
 
     /**
+     * Record Creation Time
      * 记录创建时间
      */
     @ApiModelProperty(value = "记录创建时间(毫秒时间戳)", example = "1612198922000", accessMode = READ_ONLY, position = 5)
@@ -78,6 +88,7 @@ public class Param {
     private LocalDateTime gmtCreate;
 
     /**
+     * Record the latest modification time
      * 记录最新修改时间
      */
     @ApiModelProperty(value = "记录最新修改时间(毫秒时间戳)", example = "1612198444000", accessMode = READ_ONLY, position = 6)

common/src/main/java/com/usthe/common/entity/manager/ParamDefine.java

@@ -22,7 +22,9 @@ import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_WRITE;
 
 /**
  * todo 字段默认值
+ * Monitoring parameter definitions
  * 监控参数定义
+ *
  * @author tomsun28
  * @date 2021/11/13 21:49
  */
@@ -32,57 +34,68 @@ import static io.swagger.annotations.ApiModelProperty.AccessMode.READ_WRITE;
 @Builder
 @AllArgsConstructor
 @NoArgsConstructor
-@ApiModel(description = "参数结构定义实体")
+@ApiModel(description = "en: Parameter structure definition entity,zh: 参数结构定义实体")
 public class ParamDefine {
 
+    /**
+     * Parameter Structure ID
+     */
     @Id
     @GeneratedValue(strategy = GenerationType.IDENTITY)
     @ApiModelProperty(value = "参数结构ID", example = "87584674384", accessMode = READ_ONLY, position = 0)
     private Long id;
 
     /**
+     * Monitoring application type name
      * 监控应用类型名称
      */
     @ApiModelProperty(value = "监控类型", example = "TanCloud", accessMode = READ_WRITE, position = 1)
     private String app;
 
     /**
+     * Parameter field external display name
      * 参数字段对外显示名称
      */
     @ApiModelProperty(value = "参数字段显示名称", example = "端口", accessMode = READ_WRITE, position = 2)
     private String name;
 
     /**
+     * Parameter Field Identifier
      * 参数字段标识符
      */
     @ApiModelProperty(value = "参数字段标识符", example = "port", accessMode = READ_WRITE, position = 3)
     private String field;
 
     /**
+     * Field type, style (mostly map the input tag type attribute)
      * 字段类型,样式(大部分映射input标签type属性)
      */
     @ApiModelProperty(value = "字段类型,样式(大部分映射input标签type属性)", example = "number", accessMode = READ_WRITE, position = 4)
     private String type;
 
     /**
+     * Is it mandatory true-required false-optional
      * 是否是必输项 true-必填 false-可选
      */
     @ApiModelProperty(value = "是否是必输项 true-必填 false-可选", example = "true", accessMode = READ_WRITE, position = 5)
     private boolean required = false;
 
     /**
+     * Parameter Default Value
      * 参数默认值
      */
     @ApiModelProperty(value = "参数默认值", example = "12", accessMode = READ_WRITE, position = 6)
     private String defaultValue;
 
     /**
+     * Parameter input box prompt information
      * 参数输入框提示信息
      */
     @ApiModelProperty(value = "参数输入框提示信息", example = "请输入密码", accessMode = READ_WRITE, position = 7)
     private String placeholder;
 
     /**
+     * When type is number, use range to represent the range eg: 0-233
      * 当type为number时,用range表示范围 eg: 0-233
      */
     @ApiModelProperty(value = "当type为number时,用range区间表示范围", example = "[0,233]", accessMode = READ_WRITE, position = 6)
@@ -90,6 +103,7 @@ public class ParamDefine {
     private String range;
 
     /**
+     * When type is text, use limit to indicate the limit size of the string. The maximum is 255
      * 当type为text时,用limit表示字符串限制大小.最大255
      */
     @ApiModelProperty(value = "当type为text时,用limit表示字符串限制大小.最大255", example = "30", accessMode = READ_WRITE, position = 7)
@@ -97,10 +111,11 @@ public class ParamDefine {
     private Short limit;
 
     /**
+     * When the type is radio radio box, checkbox checkbox, options represents a list of optional values
      * 当type为radio单选框,checkbox复选框时,options表示可选项值列表
      * eg: {
-     *     "key1":"value1",
-     *     "key2":"value2"
+     * "key1":"value1",
+     * "key2":"value2"
      * }
      * key-值显示标签
      * value-真正值
@@ -111,28 +126,53 @@ public class ParamDefine {
     private List<Option> options;
 
     /**
+     * Valid when type is key-value, indicating the alias description of the key
+     * 当type为key-value时有效,表示key的别名描述
+     */
+    @ApiModelProperty(value = "当type为key-value时有效,表示key的别名描述", example = "Name", accessMode = READ_WRITE, position = 9)
+    private String keyAlias;
+
+    /**
+     * Valid when type is key-value, indicating the alias description of value type
+     * 当type为key-value时有效,表示value的别名描述
+     */
+    @ApiModelProperty(value = "当type为key-value时有效,表示value的别名描述", example = "Value", accessMode = READ_WRITE, position = 10)
+    private String valueAlias;
+
+    /**
+     * Is it an advanced hidden parameter true-yes false-no
+     * 是否是高级隐藏参数 true-是 false-否
+     */
+    @ApiModelProperty(value = "是否是高级隐藏参数 true-是 false-否", example = "true", accessMode = READ_WRITE, position = 11)
+    private boolean hide = false;
+
+    /**
+     * The creator of this record
      * 此条记录创建者
      */
-    @ApiModelProperty(value = "此条记录创建者", example = "tom", accessMode = READ_ONLY, position = 9)
+    @ApiModelProperty(value = "此条记录创建者", example = "tom", accessMode = READ_ONLY, position = 11)
     private String creator;
 
     /**
+     * This record was last modified by
      * 此条记录最新修改者
      */
-    @ApiModelProperty(value = "此条记录最新修改者", example = "tom", accessMode = READ_ONLY, position = 10)
+    @ApiModelProperty(value = "此条记录最新修改者", example = "tom", accessMode = READ_ONLY, position = 12)
     private String modifier;
 
     /**
+     * record creation time
      * 记录创建时间
      */
-    @ApiModelProperty(value = "记录创建时间(毫秒时间戳)", example = "1612198922000", accessMode = READ_ONLY, position = 11)
+    @ApiModelProperty(value = "记录创建时间(毫秒时间戳)", example = "1612198922000", accessMode = READ_ONLY, position = 13)
     @Column(insertable = false, updatable = false)
     private LocalDateTime gmtCreate;
 
     /**
+     * Record the latest modification time
      * 记录最新修改时间
      */
-    @ApiModelProperty(value = "记录最新修改时间(毫秒时间戳)", example = "1612198444000", accessMode = READ_ONLY, position = 12)
+    @ApiModelProperty(value = "记录最新修改时间(毫秒时间戳)", example = "1612198444000", accessMode = READ_ONLY, position = 14)
     @Column(insertable = false, updatable = false)
     private LocalDateTime gmtUpdate;
 
@@ -141,10 +181,12 @@ public class ParamDefine {
     @NoArgsConstructor
     public static final class Option {
         /**
+         * value display label
          * 值显示标签
          */
         private String label;
         /**
+         * optional value
          * 可选值
          */
         private String value;

common/src/main/java/com/usthe/common/util/CommonConstants.java

@@ -1,175 +1,208 @@
 package com.usthe.common.util;
 
 /**
+ * Public Constant
  * 公共常量
+ *
  * @author tomsun28
  * @date 2021/11/14 12:06
  */
 public interface CommonConstants {
 
     /**
+     * Response status code: generic success
      * 响应状态码: 通用成功
      */
     byte SUCCESS_CODE = 0x00;
 
     /**
+     * Response status code: generic failure
      * 响应状态码: 通用失败
      */
     byte FAIL_CODE = 0x0F;
 
     /**
+     * Response status code: Parameter verification failed
      * 响应状态码: 参数校验失败
      */
     byte PARAM_INVALID_CODE = 0x01;
 
     /**
+     * Response Status Code: Probe Failed
      * 响应状态码: 探测失败
      */
     byte DETECT_FAILED_CODE = 0x02;
 
     /**
+     * Response status code: monitoring does not exist
      * 响应状态码: 监控不存在
      */
     byte MONITOR_NOT_EXIST_CODE = 0x03;
 
     /**
+     * Response Status Code: Monitor Service Conflict
      * 响应状态码: 监控服务冲突
      */
     byte MONITOR_CONFLICT_CODE = 0x04;
 
     /**
+     * Response status code: Incorrect login account password
      * 响应状态码: 登录账户密码错误
      */
     byte MONITOR_LOGIN_FAILED_CODE = 0x05;
 
     /**
+     * Response status code: Registration failed exception
      * 响应状态码: 注册失败异常
      */
     byte MONITOR_REGISTER_FAILED_CODE = 0x06;
 
 
-
     /**
+     * Monitoring Status Code: Unmanaged
      * 监控状态码: 未管理
      */
     byte UN_MANAGE_CODE = 0x00;
 
     /**
+     * Monitoring Status Code: Available
      * 监控状态码: 可用
      */
     byte AVAILABLE_CODE = 0x01;
 
     /**
+     * Monitoring Status Code: Not Available
      * 监控状态码: 不可用
      */
     byte UN_AVAILABLE_CODE = 0x02;
 
     /**
+     * Monitoring Status Code: Unreachable
      * 监控状态码: 不可达
      */
     byte UN_REACHABLE_CODE = 0x03;
 
     /**
+     * Monitoring Status Code: Pending
      * 监控状态码: 挂起
      */
     byte SUSPENDING_CODE = 0x04;
 
     /**
+     * Alarm status: 0 - normal alarm (to be processed)
      * 告警状态: 0-正常告警(待处理)
      */
     byte ALERT_STATUS_CODE_PENDING = 0x00;
 
     /**
+     * Alarm Status: 1 - Threshold triggered but not reached the number of alarms
      * 告警状态: 1-阈值触发但未达到告警次数
      */
     byte ALERT_STATUS_CODE_NOT_REACH = 0x01;
 
     /**
+     * Alarm Status: 2-Restore Alarm
      * 告警状态: 2-恢复告警
      */
     byte ALERT_STATUS_CODE_RESTORED = 0x02;
 
     /**
+     * Alert Status: 3-Handled
      * 告警状态: 3-已处理
      */
     byte ALERT_STATUS_CODE_SOLVED = 0x03;
 
     /**
+     * Alarm level: 0: high-emergency-emergency-red
      * 告警级别: 0:高-emergency-紧急告警-红色
      */
     byte ALERT_PRIORITY_CODE_EMERGENCY = 0x00;
 
     /**
+     * Alarm severity: 1: medium-critical-critical alarm-orange
      * 告警级别: 1:中-critical-严重告警-橙色
      */
     byte ALERT_PRIORITY_CODE_CRITICAL = 0x01;
 
     /**
+     * Warning level: 2: low-warning-warning warning-yellow
      * 告警级别: 2:低-warning-警告告警-黄色
      */
     byte ALERT_PRIORITY_CODE_WARNING = 0x02;
 
     /**
+     * Field parameter type: number
      * 字段参数类型: 数字
      */
     byte TYPE_NUMBER = 0;
 
     /**
+     * Field parameter type: String
      * 字段参数类型: 字符串
      */
     byte TYPE_STRING = 1;
 
     /**
+     * Field parameter type: encrypted string
      * 字段参数类型: 加密字符串
      */
     byte TYPE_SECRET = 2;
 
     /**
+     * Collection indicator value: null placeholder for empty value
      * 采集指标值：null空值占位符
      */
     String NULL_VALUE = " ";
 
     /**
+     * Availability Object
      * 可用性对象
      */
     String AVAILABLE = "available";
 
     /**
-     * 可达性对象
+     * Reachability Object可达性对象
      */
     String REACHABLE = "reachable";
 
     /**
+     * Parameter Type Number
      * 参数类型 数字
      */
     byte PARAM_TYPE_NUMBER = 0;
 
     /**
+     * Parameter Type String
      * 参数类型 字符串
      */
     byte PARAM_TYPE_STRING = 1;
 
     /**
+     * Parameter Type Password
      * 参数类型 密码
      */
     byte PARAM_TYPE_PASSWORD = 2;
 
     /**
+     * Authentication type Account password
      * 认证类型 账户密码
      */
     byte AUTH_TYPE_PASSWORD = 1;
 
     /**
+     * Authentication type GITHUB three-party login
      * 认证类型 GITHUB三方登录
      */
     byte AUTH_TYPE_GITHUB = 2;
 
     /**
+     * Authentication type WeChat three-party login
      * 认证类型 微信三方登录
      */
     byte AUTH_TYPE_WEIXIN = 3;
 
     /**
+     * Authentication type GITEE three-party login
      * 认证类型 GITEE三方登录
      */
     byte AUTH_TYPE_GITEE = 5;

common/src/main/java/com/usthe/common/util/CommonUtil.java

@@ -2,6 +2,8 @@ package com.usthe.common.util;
 
 import lombok.extern.slf4j.Slf4j;
 
+import java.math.BigDecimal;
+import java.math.RoundingMode;
 import java.util.regex.Matcher;
 import java.util.regex.Pattern;
 
@@ -15,7 +17,7 @@ public class CommonUtil {
 
     private static final Pattern EMAIL_PATTERN = Pattern.compile("\\w+([-+.]\\w+)*@\\w+([-.]\\w+)*\\.\\w+([-.]\\w+)*");
 
-    private static final Pattern PHONE_PATTERN = Pattern.compile("^(((13[0-9])|(15[0-9])|(18[0-9])|(17[0-9]))+\\d{8})?$");
+    private static final Pattern PHONE_PATTERN = Pattern.compile("^(((13[0-9])|(14[0-9])|(15[0-9])|(16[0-9])|(19[0-9])|(18[0-9])|(17[0-9]))+\\d{8})?$");
 
     private static final int PHONE_LENGTH = 11;
 
@@ -36,6 +38,30 @@ public class CommonUtil {
         }
     }
 
+    /**
+     * 将字符串str,此字符串可能带单位,转换为double数字类型
+     * 将数值小数点限制到4位
+     * @param str string
+     * @param unit 字符串单位
+     * @return string格式的 double 数字 小数点最大到4位
+     */
+    public static String parseDoubleStr(String str, String unit) {
+        if (str == null || "".equals(str)) {
+            return null;
+        }
+        try {
+            if (unit != null && str.endsWith(unit)) {
+                str = str.substring(0, str.length() - unit.length());
+            }
+            BigDecimal bigDecimal = new BigDecimal(str);
+            double value = bigDecimal.setScale(4, RoundingMode.HALF_UP).doubleValue();
+            return String.valueOf(value);
+        } catch (Exception e) {
+            log.debug(e.getMessage(), e);
+            return null;
+        }
+    }
+
     /**
      * 邮箱格式校验
      * @param email 邮箱

common/src/main/java/com/usthe/common/util/SnowFlakeIdGenerator.java

@@ -1,7 +1,9 @@
 package com.usthe.common.util;
 
 /**
+ * Snowflake Algorithm Generator Tool
  * 雪花算法生成器工具
+ *
  * @author tomsun28
  * @date 2021/11/10 11:04
  */

common/src/test/java/com/usthe/common/util/CommonUtilTest.java

@@ -0,0 +1,40 @@
+package com.usthe.common.util;
+
+import org.junit.jupiter.api.Test;
+
+import static org.junit.jupiter.api.Assertions.*;
+
+/**
+ * @author tom
+ * @date 2022/4/7 17:18
+ */
+class CommonUtilTest {
+
+    @Test
+    void testParseDoubleStr() {
+        assertEquals("9.3454",CommonUtil.parseDoubleStr("9.345435345", null));
+        assertEquals("9.3454",CommonUtil.parseDoubleStr("9.345435345%", "%"));
+        assertEquals("10.0",CommonUtil.parseDoubleStr("10%", "%"));
+        assertEquals("588.0",CommonUtil.parseDoubleStr("588Mb", "Mb"));
+    }
+
+    @Test
+    void validateEmail() {
+        assertTrue(CommonUtil.validateEmail("tom@usthe.com"));
+        assertTrue(CommonUtil.validateEmail("demo@qq.com"));
+        assertFalse(CommonUtil.validateEmail("tom.usthe.com"));
+    }
+
+    @Test
+    void validatePhoneNum() {
+        assertTrue(CommonUtil.validatePhoneNum("19234554432"));
+        assertTrue(CommonUtil.validatePhoneNum("13234554432"));
+        assertTrue(CommonUtil.validatePhoneNum("14234554432"));
+        assertTrue(CommonUtil.validatePhoneNum("16234554432"));
+        assertFalse(CommonUtil.validatePhoneNum("12234554432"));
+        assertFalse(CommonUtil.validatePhoneNum("11234554432"));
+        assertFalse(CommonUtil.validatePhoneNum("35234554432"));
+        assertFalse(CommonUtil.validatePhoneNum("46234554432"));
+    }
+
+}

home/blog/2022-02-28-hertzbeat-v1.0-beta.4.md

@@ -1,5 +1,5 @@
 ---
-title: HertzBeat赫兹节拍 v1.0.beta.4 发布，易用友好的高性能监控告警系统   
+title: HertzBeat赫兹节拍 v1.0.beta.4 发布，易用友好的监控告警系统   
 author: tom  
 author_title: tom   
 author_url: https://github.com/tomsun28  

home/blog/2022-03-10-hertzbeat-v1.0-beta.5.md

@@ -0,0 +1,71 @@
+---
+title: HertzBeat赫兹节拍 v1.0.beta.5 发布，易用友好的监控告警系统   
+author: tom  
+author_title: tom   
+author_url: https://github.com/tomsun28  
+author_image_url: https://avatars.githubusercontent.com/u/24788200?s=400&v=4  
+tags: [opensource]  
+---
+
+HertzBeat赫兹跳动是由Dromara孵化，TanCloud开源的一个支持网站，API，PING，端口，数据库，全站等监控类型，支持阈值告警，告警通知(邮箱，webhook，钉钉，企业微信，飞书机器人)，拥有易用友好的可视化操作界面的开源监控告警项目。
+
+官网:hertzbeat.com | tancloud.cn
+
+此升级版本包含了dashboard仪表盘重新设计，阈值表达式支持多指标，丰富了数据库监控类型，新增mariaDB和postgreSQL数据库的监控，控制台页面新增帮助文档等，欢迎使用。   
+
+版本特性：
+
+1. feature 支持mariadb监控类型 (#11)
+2. feature dashboard仪表盘重构 (#13)
+3. feature 告警配置支持多指标集合 !10 由 @pengliren 提出 thanks
+4. feature 支持postgresql数据库的监控 (#16)
+5. 新增监控默认开启探测.
+6. 新增mysql采集指标.
+7. 新增监控大类别，支持自定义监控页面菜单自动渲染
+8. 操作页面新增帮助链接，完善自定义和阈值帮助文档
+9. feat: 模拟浏览器设置为chrome浏览器 #Issues 14 由@learning-code 贡献 thanks
+
+BUG修复
+1. 登陆改登录，傻傻分不清.
+2. 文档新增常见问题，采集器http参数优化校验.
+3. 采集器调度第0优先级失败则取消后续的优化.
+4. bugfix website monitor path Illegal character in path at index
+5. bugfix深色主题适配问题 (#10)
+6. fix国际化异常 放开hierarchy接口认证保护
+
+欢迎在线试用 https://console.tancloud.cn
+
+
+-----------------------
+
+> [HertzBeat赫兹跳动](https://github.com/dromara/hertzbeat) 是由[Dromara](https://dromara.org)孵化，[TanCloud](https://tancloud.cn)开源的一个支持网站，API，PING，端口，数据库等监控类型，拥有易用友好的可视化操作界面的开源监控告警项目。  
+> 我们也提供了对应的 **[SAAS版本监控云](https://console.tancloud.cn)**，中小团队和个人无需再为了监控自己的网站资源，而去部署一套繁琐的监控系统，**[登录即可免费开始](https://console.tancloud.cn)**。     
+> HertzBeat 支持[自定义监控](https://hertzbeat.com/docs/advanced/extend-point) ,只用通过配置YML文件我们就可以自定义需要的监控类型和指标，来满足常见的个性化需求。   
+> HertzBeat 模块化，`manager, collector, scheduler, warehouse, alerter` 各个模块解耦合，方便理解与定制开发。       
+> HertzBeat 支持更自由化的告警配置(计算表达式)，支持告警通知，告警模版，邮件钉钉微信飞书等及时通知送达          
+> 欢迎登录 HertzBeat 的 [云环境TanCloud](https://console.tancloud.cn) 试用发现更多。          
+> 我们正在快速迭代中，欢迎参与加入一起共建项目开源生态。
+
+> `HertzBeat`的多类型支持，易扩展，低耦合，希望能帮助开发者和中小团队快速搭建自有监控系统。
+
+老铁们可以通过演示视频来直观了解功能： https://www.bilibili.com/video/BV1Vi4y1f7i8
+
+##### 欢迎联系交流哦   
+
+**微信交流群**   
+
+加微信号 tan-cloud 或 扫描下面账号二维码拉进微信群。   
+<img alt="tan-cloud" src="https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/docs/help/tan-cloud-wechat.jpg" width="200"/>
+
+**QQ交流群**  
+
+加QQ群号 718618151 或 扫描下面的群二维码进群, 验证信息: tancloud
+
+<img alt="tan-cloud" src="https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/docs/help/qq-qr.jpg" width="200"/>
+
+**仓库地址**      
+
+[Github](https://github.com/dromara/hertzbeat) https://github.com/dromara/hertzbeat      
+[Gitee](https://gitee.com/dromara/hertzbeat) https://gitee.com/dromara/hertzbeat    
+
+看到这里不妨给个Star哦，灰常感谢，弯腰!!

home/blog/2022-03-20-hertzbeat-v1.0-beta.6.md

@@ -0,0 +1,70 @@
+---
+title: HertzBeat赫兹节拍 v1.0.beta.6 发布，Linux监控来啦   
+author: tom  
+author_title: tom   
+author_url: https://github.com/tomsun28  
+author_image_url: https://avatars.githubusercontent.com/u/24788200?s=400&v=4  
+tags: [opensource]  
+---
+
+HertzBeat赫兹跳动是由Dromara孵化，TanCloud开源的一个支持网站，API，PING，端口，数据库，操作系统，全站等监控类型，支持阈值告警，告警通知(邮箱，webhook，钉钉，企业微信，飞书机器人)，拥有易用友好的可视化操作界面的开源监控告警项目。
+
+官网:hertzbeat.com | tancloud.cn
+
+此升级版本包含了很多同学需要的Linux操作系统监控支持，支持其CPU，内存，磁盘，网络等指标，重要的是同步支持了SSH自定义，我们可以很方便的写脚本监控我们想要的Linux指标，也新增了对主流的数据库SqlServer监控支持等，更多功能欢迎使用。     
+
+版本特性：
+1. feature 新增支持Linux操作系统监控类型(支持CPU内存磁盘网卡等监控指标) (#20)
+2. feature 新增支持microsoft sqlserver数据库监控类型 (#37)
+3. feature 添加docker-compose部署方案 (#27) 由 @jx10086 贡献 thanks
+4. feature 监控列表支持状态过滤和字段搜索功能 (#29)
+5. feature 新增mysql,postgresql等数据库查询超时时间设置 (#18) 由 @学习代码的小白 贡献
+6. [纳管]修改为[监控]表述,[探测]修改为[测试]表述
+7. feature add github build and translate action (#22)
+8. feature 新增贡献指南，本地代码启动文档
+9. docs 指定mysql和tdengine版本，避免环境问题
+
+BUG修复
+1. fix 由于链接复用不佳造成创建过多链接监控异常 (#26)
+2. fix 页面全局监控搜索结果异常 (#28) issue by @Suremotoo
+3. 代码优化 #I4U9BT 由 @学习代码的小白 贡献
+4. fix 服务启动脚本偶现端口占用误判问题
+5. 时间本地时区格式化 (#35)
+6. fix 此版本引入问题jdbc解析异常 (#36)
+7. fix jdbc并发注册加载时由于spi机制加载死锁问题 (#40)
+
+欢迎在线试用 https://console.tancloud.cn.
+
+-----------------------
+
+> [HertzBeat赫兹跳动](https://github.com/dromara/hertzbeat) 是由[Dromara](https://dromara.org)孵化，[TanCloud](https://tancloud.cn)开源的一个支持网站，API，PING，端口，数据库，操作系统等监控类型，拥有易用友好的可视化操作界面的开源监控告警项目。  
+> 我们也提供了对应的 **[SAAS版本监控云](https://console.tancloud.cn)**，中小团队和个人无需再为了监控自己的网站资源，而去部署一套繁琐的监控系统，**[登录即可免费开始](https://console.tancloud.cn)**。     
+> HertzBeat 支持[自定义监控](https://hertzbeat.com/docs/advanced/extend-point) ,只用通过配置YML文件我们就可以自定义需要的监控类型和指标，来满足常见的个性化需求。   
+> HertzBeat 模块化，`manager, collector, scheduler, warehouse, alerter` 各个模块解耦合，方便理解与定制开发。       
+> HertzBeat 支持更自由化的告警配置(计算表达式)，支持告警通知，告警模版，邮件钉钉微信飞书等及时通知送达          
+> 欢迎登录 HertzBeat 的 [云环境TanCloud](https://console.tancloud.cn) 试用发现更多。          
+> 我们正在快速迭代中，欢迎参与加入一起共建项目开源生态。
+
+> `HertzBeat`的多类型支持，易扩展，低耦合，希望能帮助开发者和中小团队快速搭建自有监控系统。
+
+老铁们可以通过演示视频来直观了解功能： https://www.bilibili.com/video/BV1Vi4y1f7i8
+
+##### 欢迎联系交流哦   
+
+**微信交流群**   
+
+加微信号 tan-cloud 或 扫描下面账号二维码拉进微信群。   
+<img alt="tan-cloud" src="https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/docs/help/tan-cloud-wechat.jpg" width="200"/>
+
+**QQ交流群**  
+
+加QQ群号 718618151 或 扫描下面的群二维码进群, 验证信息: tancloud
+
+<img alt="tan-cloud" src="https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/docs/help/qq-qr.jpg" width="200"/>
+
+**仓库地址**      
+
+[Github](https://github.com/dromara/hertzbeat) https://github.com/dromara/hertzbeat      
+[Gitee](https://gitee.com/dromara/hertzbeat) https://gitee.com/dromara/hertzbeat    
+
+看到这里不妨给个Star哦，灰常感谢，弯腰!!

home/blog/2022-04-08-hertzbeat-v1.0-beta.7.md

@@ -0,0 +1,92 @@
+---
+title: HertzBeat入GVP啦，并 v1.0.beta.7 发布，易用友好的云监控系统     
+author: tom  
+author_title: tom   
+author_url: https://github.com/tomsun28  
+author_image_url: https://avatars.githubusercontent.com/u/24788200?s=400&v=4  
+tags: [opensource]  
+---
+
+
+HertzBeat赫兹跳动 是一个由Dromara孵化的支持网站，API，PING，端口，数据库，全站，操作系统等监控类型，支持阈值告警，告警通知(邮箱，webhook，钉钉，企业微信，飞书机器人)，拥有易用友好的可视化操作界面的开源监控告警项目。
+
+很高兴Hertzbeat被评定为GVP - Gitee最有价值开源项目！
+
+
+![截屏2022-04-08 09.14.44.png](https://p3-juejin.byteimg.com/tos-cn-i-k3u1fbpfcp/8899bc4e836943dba2ec9efeec4ff629~tplv-k3u1fbpfcp-watermark.image?)
+
+老哥们帮忙在Gitee STAR起来，冲！https://gitee.com/dromara/hertzbeat
+
+官网:hertzbeat.com | tancloud.cn
+
+然后来说说最新的版本，这个版本看这么多feature，其实简单来说主要是这几个
+
+支持了ORACLE数据库的监控，包括ORACLE的基本信息，表空间，连接数，TPS，QPS等指标
+
+支持了LINUX的CPU利用率，内存利用率，磁盘占用相关指标，使LINUX监控贴合实际业务
+
+还有前端参数支持了KEY-VALUE，以后我们就可以在页面上配置HTTP Headers等类似参数了，还有就是参数配置那优化改版，把非常用告警参数隐藏起来了，稍微好看些，然后支持了windows下bat启动脚本，更多的就是稳定性的提升和一些其它的小修复小需求啦！
+
+
+
+版本特性：
+
+1. feature 支持oracle数据库监控类型-xgf 由 @gf-8 贡献 thanks
+2. feature oracle监控支持tablespace,连接数,qps,tps等指标
+3. feature linux监控支持设置超时时间 (#49)
+4. feature 检测网站SSL证书是否过期 (#50) 由 @weihongbin 提出 thanks
+5. feature 页面配置参数支持KEY-VALUE数组(#57)
+6. feature API和网站监控支持页面配置Headers和Params (#58)(#59)
+7. feature API和网站监控支持页面配置 basic auth, digest auth (#60)
+8. feature http 端口跟随SSL是否启用变更443或80 (#61)
+9. feature 修改默认超时时间3000毫秒为6000毫秒 (#55)
+10. feature:make tdengine optional, not required (#62)
+11. feature:support win bat service (#65)
+12. feature:support hide advanced params define (#68)
+13. feature:enable auto redirect when 301 302 http code (#69)
+14. feature:only collect available metrics when detect (#70)
+15. feature:[website api]monitor support keyword match (#72)
+16. feature:support linux cpu usage,memory usage,disk free (#76)
+
+BUG修复
+1. 添加sqlserver关联文档，fix connection指标入库tdengine失败 (#41)
+2. 使用docker部署TDengine，开放tcp访问端口!16 由 @老姜bei 贡献 thanks
+3. 补充sureness配置文档 避免误配导致权限异常
+4. bugfix:monitors always timeout alert (#67)
+5. code format and optimization 由 @学习代码的小白 贡献 thanks
+6. bugfix: remove oracle field - database_type due 11g not support 由 @syongaaa 贡献 thanks
+7. bugfix:fix linux interface metrics no instance (#75)
+
+欢迎在线试用 https://console.tancloud.cn.
+
+-----------------------
+
+> [HertzBeat赫兹跳动](https://github.com/dromara/hertzbeat) 是一个支持网站，API，PING，端口，数据库，操作系统等监控类型，拥有易用友好的可视化操作界面的开源监控告警项目。  
+> 我们也提供了对应的 **[SAAS版本监控云](https://console.tancloud.cn)**，中小团队和个人无需再为了监控自己的网站资源，而去部署一套繁琐的监控系统，**[登录即可免费开始](https://console.tancloud.cn)**。     
+> HertzBeat 支持[自定义监控](https://hertzbeat.com/docs/advanced/extend-point) ,只用通过配置YML文件我们就可以自定义需要的监控类型和指标，来满足常见的个性化需求。   
+> HertzBeat 模块化，`manager, collector, scheduler, warehouse, alerter` 各个模块解耦合，方便理解与定制开发。       
+> HertzBeat 支持更自由化的告警配置(计算表达式)，支持告警通知，告警模版，邮件钉钉微信飞书等及时通知送达          
+> 欢迎登录 HertzBeat 的 [云环境TanCloud](https://console.tancloud.cn) 试用发现更多。          
+> 我们正在快速迭代中，欢迎参与加入一起共建项目开源生态。
+
+> `HertzBeat`的多类型支持，易扩展，低耦合，希望能帮助开发者和中小团队快速搭建自有监控系统。
+
+老铁们可以通过演示视频来直观了解功能： https://www.bilibili.com/video/BV1DY4y1i7ts
+
+欢迎在线试用 [https://console.tancloud.cn](https://gitee.com/link?target=https%3A%2F%2Fconsole.tancloud.cn)
+
+优化后的参数输入界面:
+![输入图片说明](https://p3-juejin.byteimg.com/tos-cn-i-k3u1fbpfcp/c4b07908ba5a4b50a094a02dde6a38f3~tplv-k3u1fbpfcp-zoom-1.image "截屏2022-04-07 21.32.52.png")
+
+Linux新增指标:
+![输入图片说明](https://p3-juejin.byteimg.com/tos-cn-i-k3u1fbpfcp/92828224f8cd4cac84245aa4217b29e7~tplv-k3u1fbpfcp-zoom-1.image "截屏2022-04-07 17.50.22.png")
+
+ORACLE监控:   
+哦豁！oracle环境不在了，之前没有截图，先脑补一张！
+
+**仓库地址**
+
+[Github](https://github.com/dromara/hertzbeat) https://github.com/dromara/hertzbeat      
+[Gitee](https://gitee.com/dromara/hertzbeat) https://gitee.com/dromara/hertzbeat
+
+看到这里不妨给个Star支持下哦，灰常感谢，弯腰!!

home/docs/advanced/extend-http.md

@@ -29,14 +29,14 @@ HTTP协议支持我们自定义HTTP请求路径，请求header，请求参数，
 
 > 监控配置定义文件用于定义 *监控类型的名称(国际化), 请求参数映射, 指标信息, 采集协议配置信息*等。  
 
-样例：自定义一个名称为example的自定义监控类型，其使用HTTP协议采集指标数据。    
-文件名称: example.yml 位于 /define/app/example.yml   
+样例：自定义一个名称为example_http的自定义监控类型，其使用HTTP协议采集指标数据。    
+文件名称: example_http.yml 位于 /define/app/example_http.yml   
 
 ```yaml
 # 此监控类型所属类别：service-应用服务监控 db-数据库监控 custom-自定义监控 os-操作系统监控
 category: custom
 # 监控应用类型(与文件名保持一致) eg: linux windows tomcat mysql aws...
-app: example
+app: example_http
 name:
   zh-CN: 模拟应用类型
   en-US: EXAMPLE APP
@@ -157,12 +157,12 @@ metrics:
 
 > 监控参数定义文件用于定义 *需要的输入参数字段结构定义(前端页面根据结构渲染输入参数框)*。   
 
-样例：自定义一个名称为example的自定义监控类型，其使用HTTP协议采集指标数据。    
-文件名称: example.yml 位于 //define/param/example.yml   
+样例：自定义一个名称为example_http的自定义监控类型，其使用HTTP协议采集指标数据。    
+文件名称: example_http.yml 位于 //define/param/example_http.yml   
 
 ```yaml
 # 监控应用类型名称(与文件名保持一致) eg: linux windows tomcat mysql aws...
-app: example
+app: example_http
 # 强制固定必须参数 - host(ipv4,ipv6,域名)
 param:
     # field-字段名称标识符

home/docs/advanced/extend-jdbc.md

@@ -1,15 +1,15 @@
 ---
-id: extend-mysql  
-title: MYSQL协议自定义监控  
-sidebar_label: MYSQL协议自定义监控    
+id: extend-jdbc  
+title: JDBC协议自定义监控  
+sidebar_label: JDBC协议自定义监控    
 ---
-> 从[自定义监控](extend-point)了解熟悉了怎么自定义类型，指标，协议等，这里我们来详细介绍下用MYSQL协议自定义指标监控。 
-> mysql协议自定义监控可以让我们很方便的通过写SQL查询语句就能监控到我们想监控的指标     
+> 从[自定义监控](extend-point)了解熟悉了怎么自定义类型，指标，协议等，这里我们来详细介绍下用JDBC(目前支持mysql,mariadb,postgresql,sqlserver)自定义指标监控。 
+> JDBC协议自定义监控可以让我们很方便的通过写SQL查询语句就能监控到我们想监控的指标     
 
-### MYSQL协议采集流程    
+### JDBC协议采集流程    
 【**系统直连MYSQL**】->【**运行SQL查询语句**】->【**响应数据解析:oneRow, multiRow, columns**】->【**指标数据提取**】   
 
-由流程可见，我们自定义一个MYSQL协议的监控类型，需要配置MYSQL请求参数，配置获取哪些指标，配置查询SQL语句。
+由流程可见，我们自定义一个JDBC协议的监控类型，需要配置JDBC请求参数，配置获取哪些指标，配置查询SQL语句。
 
 ### 数据解析方式   
 SQL查询回来的数据字段和我们需要的指标映射，就能获取对应的指标数据，目前映射解析方式有三种：oneRow, multiRow, columns
@@ -50,8 +50,8 @@ SQL响应数据：
 ### 自定义步骤  
 
 配置自定义监控类型需新增配置两个YML文件
-1. 用监控类型命名的监控配置定义文件 - 例如：example.yml 需位于安装目录 /hertzbeat/define/app/ 下
-2. 用监控类型命名的监控参数定义文件 - 例如：example.yml 需位于安装目录 /hertzbeat/define/param/ 下
+1. 用监控类型命名的监控配置定义文件 - 例如：example_sql.yml 需位于安装目录 /hertzbeat/define/app/ 下
+2. 用监控类型命名的监控参数定义文件 - 例如：example_sql.yml 需位于安装目录 /hertzbeat/define/param/ 下
 3. 重启hertzbeat系统，我们就适配好了一个新的自定义监控类型。
 
 ------- 
@@ -61,14 +61,14 @@ SQL响应数据：
 
 > 监控配置定义文件用于定义 *监控类型的名称(国际化), 请求参数映射, 指标信息, 采集协议配置信息*等。  
 
-样例：自定义一个名称为example的自定义监控类型，其使用HTTP协议采集指标数据。    
-文件名称: example.yml 位于 /define/app/example.yml   
+样例：自定义一个名称为example_sql的自定义监控类型，其使用JDBC协议采集指标数据。    
+文件名称: example_sql.yml 位于 /define/app/example_sql.yml   
 
 ```yaml
 # 此监控类型所属类别：service-应用服务监控 db-数据库监控 custom-自定义监控 os-操作系统监控
 category: db
 # 监控应用类型(与文件名保持一致) eg: linux windows tomcat mysql aws...
-app: example
+app: example_sql
 name:
   zh-CN: 模拟MYSQL应用类型
   en-US: MYSQL EXAMPLE APP
@@ -215,11 +215,11 @@ metrics:
 
 > 监控参数定义文件用于定义 *需要的输入参数字段结构定义(前端页面根据结构渲染输入参数框)*。
 
-样例：自定义一个名称为example的自定义监控类型，其使用HTTP协议采集指标数据。    
-文件名称: example.yml 位于 /define/param/example.yml   
+样例：自定义一个名称为example_sql的自定义监控类型，其使用JDBC协议采集指标数据。    
+文件名称: example_sql.yml 位于 /define/param/example_sql.yml   
 
 ```yaml
-app: example
+app: example_sql
 param:
   - field: host
     name: 主机Host

home/docs/advanced/extend-point.md

@@ -4,7 +4,7 @@ title: 自定义监控
 sidebar_label: 自定义监控    
 ---
 > HertzBeat拥有自定义监控能力，您只需配置两个YML文件就能适配一款自定义的监控类型。  
-> 目前自定义监控支持[HTTP协议](extend-http)，MYSQL协议，后续会支持更多通用协议(ssh telnet wmi snmp)。        
+> 目前自定义监控支持[HTTP协议](extend-http)，[JDBC协议](extend-jdbc)(mysql,mariadb,postgresql..)，[SSH协议](extend-ssh)，后续会支持更多通用协议(ssh telnet wmi snmp)。        
 
 ### 自定义步骤  
 

home/docs/advanced/extend-ssh.md

@@ -0,0 +1,220 @@
+---
+id: extend-ssh  
+title: SSH协议自定义监控  
+sidebar_label: SSH协议自定义监控    
+---
+> 从[自定义监控](extend-point)了解熟悉了怎么自定义类型，指标，协议等，这里我们来详细介绍下用SSH协议自定义指标监控。 
+> SSH协议自定义监控可以让我们很方便的通过写sh命令脚本就能监控采集到我们想监控的Linux指标     
+
+### SSH协议采集流程    
+【**系统直连Linux**】->【**运行SHELL命令脚本语句**】->【**响应数据解析:oneRow, multiRow**】->【**指标数据提取**】   
+
+由流程可见，我们自定义一个SSH协议的监控类型，需要配置SSH请求参数，配置获取哪些指标，配置查询脚本语句。
+
+### 数据解析方式   
+SHELL脚本查询回来的数据字段和我们需要的指标映射，就能获取对应的指标数据，目前映射解析方式有两种：oneRow, multiRow，能满足绝大部分指标需求。
+
+#### **oneRow**   
+> 查询出一列数据, 通过查询返回结果集的字段值(一行一个值)与字段映射    
+
+例如：     
+需要查询Linux的指标 hostname-主机名称，uptime-启动时间     
+主机名称原始查询命令：`hostname`     
+启动时间原始查询命令：`uptime | awk -F "," '{print $1}'`   
+则在hertzbeat对应的这两个指标的查询脚本为(用`;`将其连接到一起)：       
+`hostname; uptime | awk -F "," '{print $1}'`     
+终端响应的数据为：    
+```
+tombook
+14:00:15 up 72 days  
+```  
+则最后采集到的指标数据一一映射为：   
+hostname值为 `tombook`   
+uptime值为 `14:00:15 up 72 days`      
+
+这里指标字段就能和响应数据一一映射为一行采集数据。     
+
+#### **multiRow**
+> 查询多行数据, 通过查询返回结果集的列名称，和查询的指标字段映射  
+
+例如：   
+查询的Linux内存相关指标字段：total-内存总量 used-已使用内存 free-空闲内存 buff-cache-缓存大小 available-可用内存    
+内存指标原始查询命令为：`free -m`, 控制台响应：  
+```shell
+              total        used        free      shared  buff/cache   available
+Mem:           7962        4065         333           1        3562        3593
+Swap:          8191          33        8158
+```
+在heartbeat中multiRow格式解析需要响应数据列名称和指标值一一映射，则对应的查询SHELL脚本为：  
+`free -m | grep Mem | awk 'BEGIN{print "total used free buff_cache available"} {print $2,$3,$4,$6,$7}'`     
+控制台响应为：  
+```shell
+total  used  free  buff_cache  available
+7962   4066  331   3564        3592
+```
+
+这里指标字段就能和响应数据一一映射为采集数据。
+
+### 自定义步骤  
+
+配置自定义监控类型需新增配置两个YML文件
+1. 用监控类型命名的监控配置定义文件 - 例如：example_linux.yml 需位于安装目录 /hertzbeat/define/app/ 下
+2. 用监控类型命名的监控参数定义文件 - 例如：example_linux.yml 需位于安装目录 /hertzbeat/define/param/ 下
+3. 重启hertzbeat系统，我们就适配好了一个新的自定义监控类型。
+
+------- 
+下面详细介绍下这俩文件的配置用法，请注意看使用注释。   
+
+### 监控配置定义文件   
+
+> 监控配置定义文件用于定义 *监控类型的名称(国际化), 请求参数映射, 指标信息, 采集协议配置信息*等。  
+
+样例：自定义一个名称为example_linux的自定义监控类型，其使用SSH协议采集指标数据。    
+文件名称: example_linux.yml 位于 /define/app/example_linux.yml   
+
+```yaml
+# 此监控类型所属类别：service-应用服务监控 db-数据库监控 custom-自定义监控 os-操作系统监控
+category: os
+# 监控应用类型(与文件名保持一致) eg: linux windows tomcat mysql aws...
+app: example_linux
+name:
+  zh-CN: 模拟LINUX应用类型
+  en-US: LINUX EXAMPLE APP
+# 参数映射map. 这些为输入参数变量，即可以用^_^host^_^的形式写到后面的配置中，系统自动变量值替换
+# type是参数类型: 0-number数字, 1-string明文字符串, 2-secret加密字符串
+# 强制固定必须参数 - host
+configmap:
+  - key: host
+    type: 1
+  - key: port
+    type: 0
+  - key: username
+    type: 1
+  - key: password
+    type: 2
+# 指标组列表
+metrics:
+  # 第一个监控指标组 basic
+  # 注意：内置监控指标有 (responseTime - 响应时间)
+  - name: basic
+    # 指标组调度优先级(0-127)越小优先级越高,优先级低的指标组会等优先级高的指标组采集完成后才会被调度,相同优先级的指标组会并行调度采集
+    # 优先级为0的指标组为可用性指标组,即它会被首先调度,采集成功才会继续调度其它指标组,采集失败则中断调度
+    priority: 0
+    # 指标组中的具体监控指标
+    fields:
+      # 指标信息 包括 field名称   type字段类型:0-number数字,1-string字符串   instance是否为实例主键   unit:指标单位
+      - field: hostname
+        type: 1
+        instance: true
+      - field: version
+        type: 1
+      - field: uptime
+        type: 1
+    # 监控采集使用协议 eg: sql, ssh, http, telnet, wmi, snmp, sdk
+    protocol: ssh
+    # 当protocol为http协议时具体的采集配置
+    ssh:
+      # 主机host: ipv4 ipv6 域名
+      host: ^_^host^_^
+      # 端口
+      port: ^_^port^_^
+      username: ^_^username^_^
+      password: ^_^password^_^
+      script: (uname -r ; hostname ; uptime | awk -F "," '{print $1}' | sed  "s/ //g") | sed ":a;N;s/\n/^/g;ta" | awk -F '^' 'BEGIN{print "version hostname uptime"} {print $1, $2, $3}'
+      # 响应数据解析方式：oneRow, multiRow
+      parseType: multiRow
+
+  - name: cpu
+    priority: 1
+    fields:
+      # 指标信息 包括 field名称   type字段类型:0-number数字,1-string字符串   instance是否为实例主键   unit:指标单位
+      - field: info
+        type: 1
+      - field: cores
+        type: 0
+        unit: 核数
+      - field: interrupt
+        type: 0
+        unit: 个数
+      - field: load
+        type: 1
+      - field: context_switch
+        type: 0
+        unit: 个数
+    # 监控采集使用协议 eg: sql, ssh, http, telnet, wmi, snmp, sdk
+    protocol: ssh
+    # 当protocol为http协议时具体的采集配置
+    ssh:
+      # 主机host: ipv4 ipv6 域名
+      host: ^_^host^_^
+      # 端口
+      port: ^_^port^_^
+      username: ^_^username^_^
+      password: ^_^password^_^
+      script: "LANG=C lscpu | awk -F: '/Model name/ {print $2}';awk '/processor/{core++} END{print core}' /proc/cpuinfo;uptime | sed 's/,/ /g' | awk '{for(i=NF-2;i<=NF;i++)print $i }' | xargs;vmstat 1 1 | awk 'NR==3{print $11}';vmstat 1 1 | awk 'NR==3{print $12}'"
+      parseType: oneRow
+
+  - name: memory
+    priority: 2
+    fields:
+      # 指标信息 包括 field名称   type字段类型:0-number数字,1-string字符串   instance是否为实例主键   unit:指标单位
+      - field: total
+        type: 0
+        unit: Mb
+      - field: used
+        type: 0
+        unit: Mb
+      - field: free
+        type: 0
+        unit: Mb
+      - field: buff_cache
+        type: 0
+        unit: Mb
+      - field: available
+        type: 0
+        unit: Mb
+    # 监控采集使用协议 eg: sql, ssh, http, telnet, wmi, snmp, sdk
+    protocol: ssh
+    # 当protocol为http协议时具体的采集配置
+    ssh:
+      # 主机host: ipv4 ipv6 域名
+      host: ^_^host^_^
+      # 端口
+      port: ^_^port^_^
+      username: ^_^username^_^
+      password: ^_^password^_^
+      script: free -m | grep Mem | awk 'BEGIN{print "total used free buff_cache available"} {print $2,$3,$4,$6,$7}'
+      parseType: multiRow
+```
+
+### 监控参数定义文件
+
+> 监控参数定义文件用于定义 *需要的输入参数字段结构定义(前端页面根据结构渲染输入参数框)*。
+
+样例：自定义一个名称为example_linux的自定义监控类型，其使用SSH协议采集指标数据。    
+文件名称: example_linux.yml 位于 /define/param/example_linux.yml   
+
+```yaml
+app: example_linux
+param:
+  - field: host
+    name: 主机Host
+    type: host
+    required: true
+  - field: port
+    name: 端口
+    type: number
+    range: '[0,65535]'
+    required: true
+    defaultValue: 22
+    placeholder: '请输入端口'
+  - field: username
+    name: 用户名
+    type: text
+    limit: 20
+    required: true
+  - field: password
+    name: 密码
+    type: password
+    required: true
+```

home/docs/contributing.md

@@ -1,65 +0,0 @@
----
-id: contributing  
-title: 参与贡献    
-sidebar_label: 参与贡献    
----
-
-Contributing to Sureness
-=======================================
-Very welcome to Contribute this project, go further and better with sureness.
-Firstly, thanks for your interest in contributing! I hope that this will be a pleasant first experience for you, and that you will return to continue contributing.
-
-Components of Repository:
-- [sureness's kernel code--sureness-core](https://github.com/usthe/sureness/tree/master/core)
-- [sureness integration springboot sample(configuration file scheme)--sample-bootstrap](https://github.com/usthe/sureness/tree/master/sample-bootstrap)
-- [sureness integration springboot sample(database scheme)-sample-tom](https://github.com/usthe/sureness/tree/master/sample-tom)
-- [sample projects using sureness in each framework(javalin,ktor,quarkus)--samples](https://github.com/usthe/sureness/tree/master/samples)
-
-## How to contribute?
-
-Most of the contributions that we receive are code contributions, but you can
-also contribute to the documentation or simply report solid bugs
-for us to fix.
-
-For new contributors, please take a look at issues or pull requests with a tag called below.
-
-[Good first issue](https://github.com/usthe/sureness/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22)    
-[Help wanted](https://github.com/usthe/sureness/issues?q=is%3Aissue+is%3Aopen+label%3A%22help+wanted%22)     
-[Good first pull request](https://github.com/usthe/sureness/issues?q=label%3A%22good+first+pull+request%22+)
-
-## Join discussion
-
-[Github Discussion](https://github.com/usthe/sureness/discussions)      
-[Gitter Channel](https://gitter.im/usthe/sureness)
-
-----   
-----   
-
-参与贡献
-=======================================
-
-非常欢迎参与项目贡献，我们致力于维护一个互相帮助的快乐社区。
-
-仓库的组成部分:
-- [sureness的核心代码--sureness-core](https://github.com/usthe/sureness/tree/master/core)
-- [使用sureness集成springboot搭建权限项目(配置文件方案)--sample-bootstrap](https://github.com/usthe/sureness/tree/master/sample-bootstrap)
-- [使用sureness集成springboot搭建权限项目(数据库方案)--sample-tom](https://github.com/usthe/sureness/tree/master/sample-tom)
-- [各个框架使用sureness的样例项目(javalin,ktor,quarkus)--samples](https://github.com/usthe/sureness/tree/master/samples)
-
-
-## 如何贡献?
-
-我们不仅仅接收代码的贡献提交，您也可以通过提交文档的更新或者BUG的报告来参与社区贡献。
-
-如果是新的贡献者，请首先了解参考如下样例的提交Issues,提交Pull Requests如果工作。
-
-[Good first issue](https://github.com/usthe/sureness/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22)    
-[Help wanted](https://github.com/usthe/sureness/issues?q=is%3Aissue+is%3Aopen+label%3A%22help+wanted%22)     
-[Good first pull request](https://github.com/usthe/sureness/issues?q=label%3A%22good+first+pull+request%22+)
-
-## 加入交流
-
-[Github Discussion](https://github.com/usthe/sureness/discussions)         
-[Gitter Channel](https://gitter.im/usthe/sureness)    
-QQ交流群：390083213    
-微信公众号：sureness

home/docs/help/guide.md

@@ -18,7 +18,11 @@ sidebar_label: 帮助入门
 
 ### 数据库监控  
 
-[MYSQL数据库监控](mysql)      [MariaDB数据库监控](mariadb)    
+[MYSQL数据库监控](mysql)      [MariaDB数据库监控](mariadb)       [PostgreSQL数据库监控](postgresql)       [SqlServer数据库监控](sqlserver)      [Oracle数据库监控](oracle)         
+
+### 操作系统监控     
+
+[Linux操作系统监控](linux)     
 
 ## 💡 告警服务  
 

home/docs/help/issue.md

@@ -10,7 +10,12 @@ sidebar_label: 常见问题
 > 如信息所示，输入的监控Host须是ipv4,ipv6或域名，不能携带协议头，例如协议头http   
 
 2. ** 网站API等监控反馈statusCode:403或401，但对端服务本身无需认证，浏览器直接访问是OK **       
-> 请排查是否是被防火墙拦截，如宝塔等默认设置了对请求header中`User-Agent=Apache-HttpClient`的拦截，若被拦截请删除此拦截规则。         
+> 请排查是否是被防火墙拦截，如宝塔等默认设置了对请求header中`User-Agent=Apache-HttpClient`的拦截，若被拦截请删除此拦截规则。(v1.0.beat5版本已将user-agent模拟成浏览器此问题不存在)        
+
+3. 安装包部署的hertzbeat下ping连通性监控异常  
+安装包安装部署的hertzbeat,对ping连通性监控不可用，但本地直接ping是可用的。     
+> 安装包部署需要配置java虚拟机root权限启动hertzbeat从而使用ICMP，若未启用root权限则是判断telnet对端7号端口是否开通     
+> docker安装默认启用无此问题   
 
 ### Docker部署常见问题   
 

home/docs/help/linux.md

@@ -0,0 +1,81 @@
+---
+id: linux  
+title: 监控：Linux操作系统监控      
+sidebar_label: Linux操作系统       
+---
+
+> 对Linux操作系统的通用性能指标进行采集监控。
+
+### 配置参数
+
+| 参数名称      | 参数帮助描述 |
+| ----------- | ----------- |
+| 监控Host     | 被监控的对端IPV4，IPV6或域名。注意⚠️不带协议头(eg: https://, http://)。 |
+| 监控名称     | 标识此监控的名称，名称需要保证唯一性。  |
+| 端口        | Linux SSH对外提供的端口，默认为22。  |
+| 用户名      | SSH连接用户名，可选 |
+| 密码        | SSH连接密码，可选 |
+| 采集间隔    | 监控周期性采集数据间隔时间，单位秒，可设置的最小间隔为10秒  |
+| 是否探测    | 新增监控前是否先探测检查监控可用性，探测成功才会继续新增修改操作  |
+| 描述备注    | 更多标识和描述此监控的备注信息，用户可以在这里备注信息  |
+
+### 采集指标
+
+#### 指标集合：basic
+
+| 指标名称      | 指标单位 | 指标帮助描述 |
+| ----------- | ----------- | ----------- |
+| hostname        | 无 | 主机名称 |
+| version         | 无 | 操作系统版本 |
+| uptime          | 无 | 系统运行时间 |
+
+#### 指标集合：cpu
+
+| 指标名称      | 指标单位 | 指标帮助描述 |
+| ----------- | ----------- | ----------- |
+| info           | 无 | CPU型号 |
+| cores          | 核数 | CPU内核数量 |
+| interrupt      | 个数 | CPU中断数量 |
+| load           | 无 | CPU最近1/5/15分钟的平均负载 |
+| context_switch | 个数 | 当前上下文切换数量 |
+| usage          | %  | CPU使用率 |  
+
+
+#### 指标集合：memory
+
+| 指标名称      | 指标单位 | 指标帮助描述 |
+| ----------- | ----------- | ----------- |
+| total         | Mb | 总内存容量 |
+| used          | Mb | 用户程序内存量 |
+| free          | Mb | 空闲内存容量 |
+| buff_cache    | Mb | 缓存占用内存 |  
+| available     | Mb | 剩余可用内存容 |   
+| usage          | %  | 内存使用率 |  
+
+#### 指标集合：disk
+
+| 指标名称      | 指标单位 | 指标帮助描述 |
+| ----------- | ----------- | ----------- |
+| disk_num       | 块数 | 磁盘总数 |
+| partition_num  | 分区数 | 分区总数 |
+| block_write    | 块数 | 写入磁盘的总块数 |
+| block_read     | 块数 | 从磁盘读出的块数 |  
+| write_rate     | iops | 每秒写磁盘块的速率 |   
+
+#### 指标集合：interface
+
+| 指标名称      | 指标单位 | 指标帮助描述 |
+| ----------- | ----------- | ----------- |
+| interface_name         | 无 | 网卡名称 |
+| receive_bytes          | byte | 入站数据流量(bytes)  |
+| transmit_bytes         | byte | 出站数据流量(bytes)  |
+
+#### 指标集合：disk_free
+
+| 指标名称      | 指标单位 | 指标帮助描述 |
+| ----------- | ----------- | ----------- |
+| filesystem     | 无  | 文件系统的名称 |
+| used           | Mb  | 已使用磁盘大小 |
+| available      | Mb  | 可用磁盘大小 |
+| usage          | %   | 使用率 |  
+| mounted        | 无  | 挂载点目录 |   

home/docs/help/mariadb.md

@@ -12,7 +12,8 @@ sidebar_label: MariaDB数据库
 | ----------- | ----------- |
 | 监控Host     | 被监控的对端IPV4，IPV6或域名。注意⚠️不带协议头(eg: https://, http://)。 |
 | 监控名称     | 标识此监控的名称，名称需要保证唯一性。  |
-| 端口        | 网站对外提供的端口，http一般默认为80，https一般默认为443。  |
+| 端口        | 数据库对外提供的端口，默认为3306。  |
+| 查询超时时间 | 设置SQL查询未响应数据时的超时时间，单位ms毫秒，默认3000毫秒。  |
 | 数据库名称   | 数据库实例名称，可选。  |
 | 用户名      | 数据库连接用户名，可选 |
 | 密码        | 数据库连接密码，可选 |
@@ -40,8 +41,6 @@ sidebar_label: MariaDB数据库
 | threads_connected            | 无 | MariaDB已经连接的连接数 |
 | threads_cached         | 无 | MariaDB当前缓存的连接数 |
 | threads_running | 无 | MariaDB当前活跃的连接数 |
-| qps         | 无 | 每秒请求查询次数。`QPS = questions/uptimes` |   
-| tps | 无 | 每秒事务数据 `TPS= (commit+rollback)/seconds`|  
 
 
 #### 指标集合：innodb

home/docs/help/mysql.md

@@ -12,7 +12,8 @@ sidebar_label: MYSQL数据库
 | ----------- | ----------- |
 | 监控Host     | 被监控的对端IPV4，IPV6或域名。注意⚠️不带协议头(eg: https://, http://)。 |
 | 监控名称     | 标识此监控的名称，名称需要保证唯一性。  |
-| 端口        | 网站对外提供的端口，http一般默认为80，https一般默认为443。  |
+| 端口        | 数据库对外提供的端口，默认为3306。  |
+| 查询超时时间 | 设置SQL查询未响应数据时的超时时间，单位ms毫秒，默认3000毫秒。  |
 | 数据库名称   | 数据库实例名称，可选。  |
 | 用户名      | 数据库连接用户名，可选 |
 | 密码        | 数据库连接密码，可选 |
@@ -40,8 +41,6 @@ sidebar_label: MYSQL数据库
 | threads_connected            | 无 | MySql已经连接的连接数 |
 | threads_cached         | 无 | MySql当前缓存的连接数 |
 | threads_running | 无 | MySql当前活跃的连接数 |
-| qps         | 无 | 每秒请求查询次数。`QPS = questions/uptimes` |   
-| tps | 无 | 每秒事务数据 `TPS= (commit+rollback)/seconds`|  
 
 
 #### 指标集合：innodb

home/docs/help/oracle.md

@@ -0,0 +1,62 @@
+---
+id: oracle  
+title: 监控：ORACLE数据库监控      
+sidebar_label: ORACLE数据库   
+---
+
+> 对ORACLE数据库的通用性能指标进行采集监控。
+
+### 配置参数
+
+| 参数名称      | 参数帮助描述 |
+| ----------- | ----------- |
+| 监控Host     | 被监控的对端IPV4，IPV6或域名。注意⚠️不带协议头(eg: https://, http://)。 |
+| 监控名称     | 标识此监控的名称，名称需要保证唯一性。  |
+| 端口        | 数据库对外提供的端口，默认为1521。  |
+| 查询超时时间 | 设置SQL查询未响应数据时的超时时间，单位ms毫秒，默认3000毫秒。  |
+| 数据库名称   | 数据库实例名称，可选。  |
+| 用户名      | 数据库连接用户名，可选 |
+| 密码        | 数据库连接密码，可选 |
+| URL        | 数据库连接URL，可选，若配置，则URL里面的数据库名称，用户名密码等参数会覆盖上面配置的参数  |
+| 采集间隔    | 监控周期性采集数据间隔时间，单位秒，可设置的最小间隔为10秒  |
+| 是否探测    | 新增监控前是否先探测检查监控可用性，探测成功才会继续新增修改操作  |
+| 描述备注    | 更多标识和描述此监控的备注信息，用户可以在这里备注信息  |
+
+### 采集指标
+
+#### 指标集合：basic
+
+| 指标名称      | 指标单位 | 指标帮助描述 |
+| ----------- | ----------- | ----------- |
+| database_version     | 无 | 数据库版本 |
+| database_type        | 无 | 数据库类型 |
+| hostname             | 无 | 主机名称 |
+| instance_name        | 无 | 数据库实例名称 |
+| startup_time         | 无 | 数据库启动时间 |
+| status               | 无 | 数据库状态 |
+
+#### 指标集合：tablespace
+
+| 指标名称      | 指标单位 | 指标帮助描述 |
+| ----------- | ----------- | ----------- |
+| file_id           | 无 | 文件ID |
+| file_name         | 无 | 文件名称 |
+| tablespace_name   | 无 | 所属表空间名称 |
+| status            | 无 | 状态 |
+| bytes             | MB | 大小 |
+| blocks            | 无 | 区块数量 |
+
+#### 指标集合：user_connect
+
+| 指标名称      | 指标单位 | 指标帮助描述 |
+| ----------- | ----------- | ----------- |
+| username         | 无   | 用户名 |
+| counts           | 个数 | 当前连接数量 | 
+
+#### 指标集合：performance
+
+| 指标名称     | 指标单位 | 指标帮助描述 |
+| ----------- | ----------- | ----------- |
+| qps         | QPS | I/O Requests per Second 每秒IO请求数量 |
+| tps         | TPS | User Transaction Per Sec 每秒用户事物处理数量 | 
+| mbps        | MBPS | I/O Megabytes per Second 每秒 I/O 兆字节数量 |

home/docs/help/postgresql.md

@@ -0,0 +1,57 @@
+---
+id: postgresql  
+title: 监控：PostgreSQL数据库监控      
+sidebar_label: PostgreSQL数据库   
+---
+
+> 对PostgreSQL数据库的通用性能指标进行采集监控。支持PostgreSQL 10+。
+
+### 配置参数
+
+| 参数名称      | 参数帮助描述 |
+| ----------- | ----------- |
+| 监控Host     | 被监控的对端IPV4，IPV6或域名。注意⚠️不带协议头(eg: https://, http://)。 |
+| 监控名称     | 标识此监控的名称，名称需要保证唯一性。  |
+| 端口        | 数据库对外提供的端口，默认为5432。  |
+| 查询超时时间 | 设置SQL查询未响应数据时的超时时间，单位ms毫秒，默认3000毫秒。  |
+| 数据库名称   | 数据库实例名称，可选。  |
+| 用户名      | 数据库连接用户名，可选 |
+| 密码        | 数据库连接密码，可选 |
+| URL        | 数据库连接URL，可选，若配置，则URL里面的数据库名称，用户名密码等参数会覆盖上面配置的参数  |
+| 采集间隔    | 监控周期性采集数据间隔时间，单位秒，可设置的最小间隔为10秒  |
+| 是否探测    | 新增监控前是否先探测检查监控可用性，探测成功才会继续新增修改操作  |
+| 描述备注    | 更多标识和描述此监控的备注信息，用户可以在这里备注信息  |
+
+### 采集指标
+
+#### 指标集合：basic
+
+| 指标名称      | 指标单位 | 指标帮助描述 |
+| ----------- | ----------- | ----------- |
+| server_version  | 无 | 数据库服务器的版本号 |
+| port            | 无 | 数据库服务器端暴露服务端口 |
+| server_encoding | 无 | 数据库服务器端的字符集编码 |
+| data_directory  | 无 | 数据库存储数据盘地址 |
+| max_connections | 连接数 | 数据库最大连接数 |
+
+#### 指标集合：state
+
+| 指标名称      | 指标单位 | 指标帮助描述 |
+| ----------- | ----------- | ----------- |
+| name            | 无     | 数据库名称，或share-object为共享对象。 |
+| conflicts       | 次数   | 由于与恢复冲突而在这个数据库中被取消的查询的数目 |
+| deadlocks       | 个数   | 在这个数据库中被检测到的死锁数 |
+| blks_read       | 次数   | 在这个数据库中被读取的磁盘块的数量 |
+| blks_hit        | 次数   | 磁盘块被发现已经在缓冲区中的次数，这样不需要一次读取（这只包括 PostgreSQL 缓冲区中的命中，而不包括在操作系统文件系统缓冲区中的命中） |   
+| blk_read_time   | ms    | 在这个数据库中后端花费在读取数据文件块的时间 |
+| blk_write_time  | ms    | 在这个数据库中后端花费在写数据文件块的时间 |
+| stats_reset     | 无    | 这些统计信息上次被重置的时间 |
+
+
+#### 指标集合：activity
+
+| 指标名称      | 指标单位 | 指标帮助描述 |
+| ----------- | ----------- | ----------- |
+| running         | 连接数 | 当前客户端连接数 |
+
+

home/docs/help/sqlserver.md

@@ -0,0 +1,57 @@
+---
+id: sqlserver  
+title: 监控：SqlServer数据库监控      
+sidebar_label: SqlServer数据库   
+---
+
+> 对SqlServer数据库的通用性能指标进行采集监控。支持SqlServer 2017+。
+
+### 配置参数
+
+| 参数名称      | 参数帮助描述 |
+| ----------- | ----------- |
+| 监控Host     | 被监控的对端IPV4，IPV6或域名。注意⚠️不带协议头(eg: https://, http://)。 |
+| 监控名称     | 标识此监控的名称，名称需要保证唯一性。  |
+| 端口        | 数据库对外提供的端口，默认为1433。  |
+| 查询超时时间 | 设置SQL查询未响应数据时的超时时间，单位ms毫秒，默认3000毫秒。  |
+| 数据库名称   | 数据库实例名称，可选。  |
+| 用户名      | 数据库连接用户名，可选 |
+| 密码        | 数据库连接密码，可选 |
+| URL        | 数据库连接URL，可选，若配置，则URL里面的数据库名称，用户名密码等参数会覆盖上面配置的参数  |
+| 采集间隔    | 监控周期性采集数据间隔时间，单位秒，可设置的最小间隔为10秒  |
+| 是否探测    | 新增监控前是否先探测检查监控可用性，探测成功才会继续新增修改操作  |
+| 描述备注    | 更多标识和描述此监控的备注信息，用户可以在这里备注信息  |
+
+### 采集指标
+
+#### 指标集合：basic
+
+| 指标名称      | 指标单位 | 指标帮助描述 |
+| ----------- | ----------- | ----------- |
+| machine_name         | 无 | 	运行服务器实例的 Windows 计算机名称 |
+| server_name            | 无 | 与Windows实例关联的服务器和实例信息SQL Server  |
+| version         | 无 | 实例的版本，SQL Server，格式为"major.minor.build.revision" |
+| edition | 无 | 	已安装的 实例的产品SQL Server版本 |
+| start_time | 无 | 数据库启动时间 | 
+
+#### 指标集合：performance_counters
+
+| 指标名称      | 指标单位 | 指标帮助描述 |
+| ----------- | ----------- | ----------- |
+| database_pages         | 无 | Database pages, 已获得的页面数(缓冲池) |
+| target_pages            | 无 | Target pages, 缓冲池必须的理想页面数 |
+| page_life_expectancy         | s,秒 | Page life expectancy, 数据页在缓冲池中驻留的时间，这个时间一般会大于 300 |
+| buffer_cache_hit_ratio | % | Buffer cache hit ratio, 数据库缓冲池高速缓冲命中率，被请求的数据在缓冲池中被找到的概率，一般会大于 80% 才算正常，否则可能是缓冲池容量太小 |
+| checkpoint_pages_sec | 无 | Checkpoint pages/sec, 检查点每秒写入磁盘的脏页个数，如果数据过高，证明缺少内存容量 |
+| page_reads_sec | 无 | Page reads/sec, 缓存池中每秒读的页数 |
+| page_writes_sec | 无 | Page writes/sec, 缓存池中每秒写的页数 |
+
+
+#### 指标集合：connection
+
+| 指标名称      | 指标单位 | 指标帮助描述 |
+| ----------- | ----------- | ----------- |
+| user_connection   | 无 | 已连接的会话数 |
+
+
+

home/docs/introduce.md

@@ -5,12 +5,13 @@ sidebar_label: 介绍
 slug: /
 ---
 
-> 易用友好的高性能监控告警系统。
+> 易用友好的监控告警系统。
 
 ![tan-cloud](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/badge/web-monitor.svg)
 ![tan-cloud](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/badge/ping-connect.svg)
 ![tan-cloud](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/badge/port-available.svg)
 ![tan-cloud](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/badge/database-monitor.svg)
+![tan-cloud](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/badge/os-monitor.svg)
 ![tan-cloud](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/badge/custom-monitor.svg)
 ![tan-cloud](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/badge/threshold.svg)
 ![tan-cloud](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/badge/alert.svg)
@@ -26,7 +27,7 @@ slug: /
 
 ## 🎡 <font color="green">介绍</font>
 
-> [HertzBeat赫兹跳动](https://github.com/dromara/hertzbeat) 是由[Dromara](https://dromara.org)孵化，[TanCloud](https://tancloud.cn)开源的一个支持网站，API，PING，端口，数据库等监控类型，拥有易用友好的可视化操作界面的开源监控告警项目。  
+> [HertzBeat赫兹跳动](https://github.com/dromara/hertzbeat) 是由[Dromara](https://dromara.org)孵化，[TanCloud](https://tancloud.cn)开源的一个支持网站，API，PING，端口，数据库，操作系统等监控类型，拥有易用友好的可视化操作界面的开源监控告警项目。  
 > 当然，我们也提供了对应的[SAAS云监控版本](https://console.tancloud.cn)，中小团队和个人无需再为了监控自己的网站资源，而去部署一套繁琐的监控系统，[登录即可免费开始](https://console.tancloud.cn)监控之旅。  
 > HertzBeat 支持自定义监控，只用通过配置YML文件我们就可以自定义需要的监控类型和指标，来满足常见的个性化需求。
 > HertzBeat 模块化，`manager, collector, scheduler, warehouse, alerter` 各个模块解耦合，方便理解与定制开发。    

home/docs/others/contributing.md

@@ -0,0 +1,68 @@
+---
+id: contributing  
+title: 参与贡献    
+sidebar_label: 参与贡献    
+---
+
+参与贡献
+=======================================
+
+非常欢迎参与项目贡献，我们致力于维护一个互相帮助的快乐社区。
+
+### 模块
+
+- **[manager](https://github.com/dromara/hertzbeat/tree/master/manager)** 提供监控管理,系统管理基础服务
+> 提供对监控的管理，监控应用配置的管理，系统用户租户后台管理等。
+- **[collector](https://github.com/dromara/hertzbeat/tree/master/collector)** 提供监控数据采集服务
+> 使用通用协议远程采集获取对端指标数据。
+- **[scheduler](https://github.com/dromara/hertzbeat/tree/master/scheduler)** 提供监控任务调度服务
+> 采集任务管理，一次性任务和周期性任务的调度分发。
+- **[warehouse](https://github.com/dromara/hertzbeat/tree/master/warehouse)** 提供监控数据仓储服务
+> 采集指标结果数据管理，数据落盘，查询，计算统计。
+- **[alerter](https://github.com/dromara/hertzbeat/tree/master/alerter)** 提供告警服务
+> 告警计算触发，监控状态联动，告警配置，告警通知。
+- **[web-app](https://github.com/dromara/hertzbeat/tree/master/web-app)** 提供可视化控制台页面
+> 监控告警系统可视化控制台前端
+
+![hertzBeat](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/docs/hertzbeat-stru.svg)
+
+## 如何贡献?
+
+我们不仅仅接收代码的贡献提交，您也可以通过提交文档的更新或者BUG的报告来参与社区贡献。
+
+如果是新的贡献者，请首先了解参考仓库提交Issues,提交Pull Requests如何工作。
+
+https://github.com/dromara/hertzbeat/issues     
+https://github.com/dromara/hertzbeat/pulls   
+https://gitee.com/dromara/hertzbeat/issues   
+https://gitee.com/dromara/hertzbeat/pulls
+
+## 本地代码工程启动
+
+此为前后端分离项目，本地代码启动需将后端 [manager](https://github.com/dromara/hertzbeat/tree/master/manager) 和前端 [web-app](https://github.com/dromara/hertzbeat/tree/master/web-app) 分别启动生效。
+
+### 后端启动
+
+1. 部署启动依赖服务`MYSQL`和`TDengine`数据库
+2. 需要`maven3+`和`java8+`环境
+3. 修改配置文件的依赖服务地址等信息-`manager/src/main/resources/application.yml`
+4. 启动`manager`服务 `manager/src/main/java/com/usthe/manager/Manager.java`
+
+### 前端启动
+
+1. 需要nodejs npm环境   
+   下载地址：https://nodejs.org/en/download
+2. 安装yarn `npm install -g yarn`
+3. 在前端工程目录web-app下执行 `yarn install`
+4. 全局安装angular-cli `npm install -g @angular/cli@12 --registry=https://registry.npm.taobao.org`
+5. 待本地后端启动后，在web-app目录下启动本地前端 `ng serve --open`
+6. 浏览器访问 localhost:4200 即可开始
+
+## 加入交流
+
+[Github Discussion](https://github.com/dromara/hertzbeat/discussions)               
+加微信号 tan-cloud 拉您进微信交流群      
+加QQ群号 718618151 进QQ交流群, 验证信息: tancloud      
+微信公众号：tancloudtech        
+[Dromara社区网站](https://dromara.org/)      
+[HertzBeat用户网站](https://support.qq.com/products/379369)  

home/docs/others/sponsor.md

@@ -11,8 +11,9 @@ sidebar_label: 赞助
 
 ![wechat-alipay](https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/img/docs/pay.png)          
 
-
-感谢[吉实信息(构建全新的微波+光交易网络)](https://www.flarespeed.com)赞助服务器采集节点    
+     
+感谢[吉实信息(构建全新的微波+光交易网络)](https://www.flarespeed.com) 赞助服务器采集节点      
+感谢[天上云计算(全新智慧上云)](https://www.tsyvps.com/aff/BZBEGYLX) 赞助服务器采集节点   
 
 
 

home/docs/start/docker-deploy.md

@@ -43,10 +43,56 @@ sidebar_label: Docker方式部署
    HertzBeat默认内置三个用户账户,分别为 admin/admin tom/tom@123 lili/lili   
    若需要新增删除修改账户或密码，可以通过配置 `sureness.yml` 实现，若无此需求可忽略此步骤  
    在主机目录下创建sureness.yml，eg:/opt/sureness.yml  
-   配置文件内容参考 项目仓库[/script/sureness.yml](https://gitee.com/dromara/hertzbeat/blob/master/script/sureness.yml)   
-   修改sureness.yml的如下部分参数：[注意⚠️sureness配置的其它默认参数需保留]  
+   配置文件内容参考 项目仓库[/script/sureness.yml](https://gitee.com/dromara/hertzbeat/blob/master/script/sureness.yml)
    
    ```yaml
+   
+   resourceRole:
+   - /account/auth/refresh===post===[role1,role2,role3,role4]
+   
+   excludedResource:
+   - /account/auth/**===*
+   - /===get
+   - /i18n/**===get
+   - /apps/hierarchy===get
+   - /console/**===get
+   - /**/*.html===get
+   - /**/*.js===get
+   - /**/*.css===get
+   - /**/*.ico===get
+   - /**/*.ttf===get
+   - /**/*.png===get
+   - /**/*.gif===get
+   - /**/*.png===*
+   - /swagger-resources/**===get
+   - /v2/api-docs===get
+   - /v3/api-docs===get
+   
+   # 用户账户信息
+   # 下面有 admin tom lili 三个账户
+   # eg: admin 拥有[role1,role2]角色,密码为admin
+   # eg: tom 拥有[role1,role2,role3],密码为tom@123
+   # eg: lili 拥有[role1,role2],明文密码为lili, 加盐密码为1A676730B0C7F54654B0E09184448289
+   account:
+   - appId: admin
+     credential: admin
+     role: [role1,role2]
+   - appId: tom
+     credential: tom@123
+     role: [role1,role2,role3]
+   - appId: lili
+     # 注意 Digest认证不支持加盐加密的密码账户
+     # 加盐加密的密码，通过 MD5(password+salt)计算
+     # 此账户的原始密码为 lili
+     credential: 1A676730B0C7F54654B0E09184448289
+     salt: 123
+     role: [role1,role2]
+   ```
+   
+   修改sureness.yml的如下**部分参数**：**[注意⚠️sureness配置的其它默认参数需保留]**  
+   
+   ```yaml
+   
    # 用户账户信息
    # 下面有 admin tom lili 三个账户
    # eg: admin 拥有[role1,role2]角色,密码为admin
@@ -82,7 +128,7 @@ sidebar_label: Docker方式部署
    - tancloud/hertzbeat:[版本tag] : 使用拉取的HertzBeat官方发布的应用镜像来启动容器,TAG可查看[官方镜像仓库](https://hub.docker.com/r/tancloud/hertzbeat/tags)   
 
 7. 开始探索HertzBeat  
-   浏览器访问 http://ip:1157/console 开始使用HertzBeat进行监控告警。
+   浏览器访问 http://ip:1157/console 开始使用HertzBeat进行监控告警，默认账户密码 admin/admin。  
 
 **HAVE FUN**   
 
@@ -101,4 +147,4 @@ sidebar_label: Docker方式部署
 
 3. **日志报错TDengine连接或插入SQL失败**  
 > 一：排查配置的数据库账户密码是否正确，数据库是否创建   
-> 二：若是安装包安装的TDengine2.3+，除了启动server外，还需执行 `systemctl start taosadapter` 启动 adapter    
+> 二：若是安装包安装的TDengine2.3+，除了启动server外，还需执行 `systemctl start taosadapter` 启动 adapter    

home/docs/start/mysql-init.md

@@ -17,14 +17,18 @@ MYSQL是一款值得信赖的关系型数据库，HertzBeat使用其存储监控
    ```
 2. Docker安装MYSQl  
    ```
-   $ docker run -d --name mysql -p 3306:3306 -e MYSQL_ROOT_PASSWORD=123456 mysql:latest
+   $ docker run -d --name mysql -p 3306:3306 -v /opt/data:/var/lib/mysql -e MYSQL_ROOT_PASSWORD=123456 mysql:5.7
    526aa188da767ae94b244226a2b2eec2b5f17dd8eff594533d9ec0cd0f3a1ccd
    ```
+   `-v /opt/data:/var/lib/mysql` 为mysql数据目录本地持久化挂载，需将`/opt/data`替换为实际本地存在的目录           
    使用```$ docker ps```查看数据库是否启动成功
 
 ### SQL脚本执行   
-1. 进入MYSQL或使用客户端连接MYSQL服务
-2. 创建名称为hertzbeat的数据库
+1. 进入MYSQL或使用客户端连接MYSQL服务   
+   `mysql -uroot -p123456`  
+2. 创建名称为hertzbeat的数据库    
+   `create database hertzbeat;`
 3. 执行位于项目仓库/script/sql/目录下的数据库建表初始化脚本 [schema.sql](https://gitee.com/dromara/hertzbeat/raw/master/script/sql/schema.sql)  
+   `mysql -uroot -p123456 < schema.sql`   
 4. 查看hertzbeat数据库是否成功建表
 

home/docs/start/package-deploy.md

@@ -46,7 +46,7 @@ sidebar_label: 安装包方式部署
 4. 配置用户配置文件(非必须,配置账户需要)     
    HertzBeat默认内置三个用户账户,分别为 admin/admin tom/tom@123 lili/lili   
    若需要新增删除修改账户或密码，可以通过修改位于 `hertzbeat/config/sureness.yml` 的配置文件实现，若无此需求可忽略此步骤 
-   修改sureness.yml的如下部分参数：[注意⚠️sureness配置的其它默认参数需保留]
+   修改sureness.yml的如下**部分参数**：**[注意⚠️sureness配置的其它默认参数需保留]**
 
    ```yaml
    # 用户账户信息
@@ -76,7 +76,7 @@ sidebar_label: 安装包方式部署
    $ ./startup.sh 
    ```
 6. 开始探索HertzBeat  
-   浏览器访问 http://ip:1157/console 开始使用HertzBeat进行监控告警。
+   浏览器访问 http://ip:1157/console 开始使用HertzBeat进行监控告警，默认账户密码 admin/admin。  
 
 **HAVE FUN**
 
@@ -90,4 +90,4 @@ sidebar_label: 安装包方式部署
 
 2. **日志报错TDengine连接或插入SQL失败**
 > 一：排查配置的数据库账户密码是否正确，数据库是否创建   
-> 二：若是安装包安装的TDengine2.3+，除了启动server外，还需执行 `systemctl start taosadapter` 启动 adapter    
+> 二：若是安装包安装的TDengine2.3+，除了启动server外，还需执行 `systemctl start taosadapter` 启动 adapter    

home/docs/start/quickstart.md

@@ -15,7 +15,7 @@ sidebar_label: 快速开始
 
 ##### 安装MYSQL  
 1. docker安装MYSQl  
-`docker run -d --name mysql -p 3306:3306 -e MYSQL_ROOT_PASSWORD=123456 mysql`   
+`docker run -d --name mysql -p 3306:3306 -e MYSQL_ROOT_PASSWORD=123456 mysql:5.7`   
 2. 创建名称为hertzbeat的数据库  
 3. 执行位于项目仓库/script/sql/目录下的数据库脚本 [schema.sql](https://gitee.com/dromara/hertzbeat/raw/master/script/sql/schema.sql)      
 
@@ -23,7 +23,7 @@ sidebar_label: 快速开始
 
 ##### 安装TDengine   
 1. docker安装TDengine   
-`docker run -d -p 6030-6049:6030-6049 -p 6030-6049:6030-6049/udp --name tdengine tdengine/tdengine`     
+`docker run -d -p 6030-6049:6030-6049 -p 6030-6049:6030-6049/udp --name tdengine tdengine/tdengine:2.4.0.12`     
 2. 创建名称为hertzbeat的数据库
 
 详细步骤参考 [依赖服务TDengine安装初始化](tdengine-init.md)   
@@ -31,16 +31,30 @@ sidebar_label: 快速开始
 ### 🍞 HertzBeat安装   
 > HertzBeat支持通过源码安装启动，Docker容器运行和安装包方式安装部署。  
 
-#### Docker方式快速安装
+#### 方式一：Docker方式快速安装
 `docker run -d -p 1157:1157 -v /opt/application.yml:/opt/hertzbeat/config/application.yml --name hertzbeat tancloud/hertzbeat:[版本tag]`  
 
 详细步骤参考 [通过Docker方式安装HertzBeat](docker-deploy.md) 
 
-#### 通过安装包安装    
+#### 方式二：通过安装包安装    
 1. 下载您系统环境对应的安装包 [GITEE Release](https://gitee.com/dromara/hertzbeat/releases) [GITHUB Release](https://github.com/dromara/hertzbeat/releases)  
 2. 配置HertzBeat的配置文件 hertzbeat/config/application.yml   
 3. 部署启动 `$ ./startup.sh `   
 
 详细步骤参考 [通过安装包安装HertzBeat](package-deploy.md) 
 
+#### 方式三：本地代码启动   
+1. 此为前后端分离项目，本地代码调试需要分别启动后端工程manager和前端工程web-app
+2. 后端：需要`maven3+`和`java8+`环境，修改YML配置信息并启动manager服务
+3. 前端：需要`nodejs npm angular-cli`环境，待本地后端启动后，在web-app目录下启动 `ng serve --open`
+4. 浏览器访问 localhost:4200 即可开始，默认账户密码 admin/admin  
+
+详细步骤参考 [参与贡献之本地代码启动](../others/contributing)
+
+#### 方式四：Docker-Compose统一安装hertzbeat及其依赖服务
+
+通过 [docker-compose部署脚本](https://gitee.com/dromara/hertzbeat/tree/master/script/docker-compose) 一次性把mysql数据库,tdengine数据库和hertzbeat安装部署。
+
+详细步骤参考 [docker-compose安装](https://gitee.com/dromara/hertzbeat/tree/master/script/docker-compose/README.md)  
+
 **HAVE FUN**

home/docs/start/tdengine-init.md

@@ -18,9 +18,11 @@ TDengine是一款国产的开源物联网时序型数据库，我们使用其替
    ```
 2. Docker安装TDengine
    ```
-   $ docker run -d -p 6030-6049:6030-6049 -p 6030-6049:6030-6049/udp --name tdengine tdengine/tdengine
+   $ docker run -d -p 6030-6049:6030-6049 -p 6030-6049:6030-6049/udp -v /opt/taosdata:/var/lib/taos --name tdengine -e TZ=Asia/Shanghai tdengine/tdengine:2.4.0.12
    526aa188da767ae94b244226a2b2eec2b5f17dd8eff594533d9ec0cd0f3a1ccd
    ```
+   `-v /opt/taosdata:/var/lib/taos` 为tdengine数据目录本地持久化挂载，需将`/opt/taosdata`替换为实际本地存在的目录  
+   `-e TZ="Asia/Shanghai"` 为tdengine设置时区，这里可选设置对应的时区   
    使用```$ docker ps```查看数据库是否启动成功
 
 ### 创建数据库实例    
@@ -50,4 +52,4 @@ TDengine是一款国产的开源物联网时序型数据库，我们使用其替
    ```
 
 **注意⚠️若是安装包安装的TDengine2.3+版本**       
-> 除了启动server外，还需执行 `systemctl start taosadapter` 启动 adapter    
+> 除了启动server外，还需执行 `systemctl start taosadapter` 启动 adapter

home/docusaurus.config.js

@@ -7,8 +7,8 @@ const repoUrl = `https://github.com/dromara/${projectName}`
 const cdnUrl = 'https://cdn.jsdelivr.net/gh/dromara/hertzbeat@gh-pages/'
 
 module.exports = {
-    title: 'TANCLOUD探云',
-    tagline: '易用友好的高性能监控云',
+    title: 'HertzBeat',
+    tagline: '易用友好的云监控系统',
     url: 'https://hertzbeat.com',
     baseUrl: '/',
     onBrokenLinks: 'throw',

home/sidebars.json

@@ -28,9 +28,16 @@
         },
         {
           "type": "category",
-          "label": "MYSQL协议",
+          "label": "JDBC协议",
           "items": [
-            "advanced/extend-mysql"
+            "advanced/extend-jdbc"
+          ]
+        },
+        {
+          "type": "category",
+          "label": "SSH协议",
+          "items": [
+            "advanced/extend-ssh"
           ]
         }
       ]
@@ -56,7 +63,17 @@
           "label": "数据库监控",
           "items": [
             "help/mysql",
-            "help/mariadb"
+            "help/mariadb",
+            "help/postgresql",
+            "help/sqlserver",
+            "help/oracle"
+          ]
+        },
+        {
+          "type": "category",
+          "label": "操作系统",
+          "items": [
+            "help/linux"
           ]
         },
         {
@@ -89,7 +106,8 @@
         "others/design",
         "others/sponsor",
         "others/private",
-        "others/resource"
+        "others/resource",
+        "others/contributing"
       ]
     }
   ]

home/src/constants.js

@@ -36,7 +36,7 @@ export const features = [{
                 custom: <a href={'/docs/advanced/extend-point'}><strong>自定义监控</strong></a>,
                 br: <br/>
             }}>
-                {'HertzBeat目前支持对网站，API，PING连通性，端口可用性，SiteMap全站，MYSQL数据库等的监控，不久我们将兼容 prometheus 协议，提供更多的监控类型和性能指标。{br}' +
+                {'HertzBeat目前支持对网站，API，PING连通性，端口可用性，SiteMap全站，数据库，操作系统等的监控，快速迭代提供更多的监控类型和性能指标。{br}' +
                 '我们提供了更自由化的阈值告警配置，支持邮箱，短信，webhook，钉钉，企业微信，飞书机器人等告警通知。{br}' +
                 '不同团队的监控需求千变万化，我们提供{custom}，仅需配置YML就能快速接入监控系统。'
                 }

home/src/pages/index.js

@@ -28,12 +28,13 @@ function Home() {
                     <h1 className="hero__title">
                         <img style={{width: '500px', marginTop: '100px'}} src={cdnTransfer('img/hertzbeat-brand.svg')} alt={'#'}/>
                     </h1>
-                    <p className="hero__subtitle"><Translate>易用友好的高性能监控告警系统</Translate></p>
+                    <p className="hero__subtitle"><Translate>易用友好的云监控系统</Translate></p>
                     <div className={styles.social}>
                         <a href="https://console.tancloud.cn"><img src={cdnTransfer('img/badge/web-monitor.svg')} alt={''}/></a>
                         <a href="https://console.tancloud.cn"><img src={cdnTransfer('img/badge/ping-connect.svg')} alt={''}/></a>
                         <a href="https://console.tancloud.cn"><img src={cdnTransfer('img/badge/port-available.svg')} alt={''}/></a>
                         <a href="https://console.tancloud.cn"><img src={cdnTransfer('img/badge/database-monitor.svg')} alt={''}/></a>
+                        <a href="https://console.tancloud.cn"><img src={cdnTransfer('img/badge/os-monitor.svg')} alt={''}/></a>
                         <a href="https://console.tancloud.cn"><img src={cdnTransfer('img/badge/custom-monitor.svg')} alt={''}/></a>
                         <a href="https://console.tancloud.cn"><img src={cdnTransfer('img/badge/threshold.svg')} alt={''}/></a>
                         <a href="https://console.tancloud.cn"><img src={cdnTransfer('img/badge/alert.svg')} alt={''}/></a>

home/static/img/badge/os-monitor.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="55" height="20" role="img" aria-label="操作系统"><title>操作系统</title><linearGradient id="s" x2="0" y2="100%"><stop offset="0" stop-color="#bbb" stop-opacity=".1"/><stop offset="1" stop-opacity=".1"/></linearGradient><clipPath id="r"><rect width="55" height="20" rx="3" fill="#fff"/></clipPath><g clip-path="url(#r)"><rect width="0" height="20" fill="#4c1"/><rect x="0" width="55" height="20" fill="#4c1"/><rect width="55" height="20" fill="url(#s)"/></g><g fill="#fff" text-anchor="middle" font-family="Verdana,Geneva,DejaVu Sans,sans-serif" text-rendering="geometricPrecision" font-size="110"><text aria-hidden="true" x="275" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="450">操作系统</text><text x="275" y="140" transform="scale(.1)" fill="#fff" textLength="450">操作系统</text></g></svg>

home/static/img/tancloud-brand-white.svg

@@ -0,0 +1,4 @@
+<svg width="199" height="53" viewBox="0 0 199 53" fill="none" xmlns="http://www.w3.org/2000/svg">
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+</svg>

manager/src/main/java/com/usthe/manager/component/alerter/DispatchAlarm.java

@@ -30,7 +30,9 @@ import java.util.Date;
 import java.util.List;
 
 /**
+ * Alarm information storage and distribution
  * 告警信息入库分发
+ *
  * @author tom
  * @date 2021/12/10 12:58
  */
@@ -70,7 +72,7 @@ public class DispatchAlarm {
                 try {
                     Alert alert = dataQueue.pollAlertData();
                     if (alert != null) {
-                        // 判断告警类型入库
+                        // Determining alarm type storage   判断告警类型入库
                         storeAlertData(alert);
                         // 通知分发
                         sendAlertDataListener(alert);
@@ -86,7 +88,7 @@ public class DispatchAlarm {
     }
 
     private void storeAlertData(Alert alert) {
-        // todo 使用缓存不直接操作库
+        // todo Using the cache does not directly manipulate the library    使用缓存不直接操作库
         Monitor monitor = monitorService.getMonitor(alert.getMonitorId());
         if (monitor == null) {
             log.warn("Dispatch alarm the monitorId: {} not existed, ignored.", alert.getMonitorId());
@@ -94,50 +96,70 @@ public class DispatchAlarm {
         }
         alert.setMonitorName(monitor.getName());
         if (monitor.getStatus() == CommonConstants.UN_MANAGE_CODE) {
+            // When monitoring is not managed, ignore and silence its alarm messages
             // 当监控未管理时  忽略静默其告警信息
             return;
         }
         if (monitor.getStatus() == CommonConstants.AVAILABLE_CODE) {
             if (CommonConstants.AVAILABLE.equals(alert.getTarget())) {
+                // Availability Alarm Need to change the monitoring status to unavailable
                 // 可用性告警 需变更监控状态为不可用
                 monitorService.updateMonitorStatus(monitor.getId(), CommonConstants.UN_AVAILABLE_CODE);
             } else if (CommonConstants.REACHABLE.equals(alert.getTarget())) {
+                // Reachability alarm The monitoring status needs to be changed to unreachable
                 // 可达性告警 需变更监控状态为不可达
                 monitorService.updateMonitorStatus(monitor.getId(), CommonConstants.UN_REACHABLE_CODE);
             }
         } else {
+            // If the alarm is restored, the monitoring state needs to be restored
             // 若是恢复告警 需对监控状态进行恢复
-           if (alert.getStatus() == CommonConstants.ALERT_STATUS_CODE_RESTORED) {
-               monitorService.updateMonitorStatus(alert.getMonitorId(), CommonConstants.AVAILABLE_CODE);
-           }
+            if (alert.getStatus() == CommonConstants.ALERT_STATUS_CODE_RESTORED) {
+                monitorService.updateMonitorStatus(alert.getMonitorId(), CommonConstants.AVAILABLE_CODE);
+            }
         }
-        // 告警落库
+        // Alarm drop library  告警落库
         alertService.addAlert(alert);
     }
 
     private void sendAlertDataListener(Alert alert) {
-        // todo 转发配置的邮件 微信 webhook
+        // todo Forward configured email WeChat webhook              转发配置的邮件 微信 webhook
         List<NoticeReceiver> receivers = matchReceiverByNoticeRules(alert);
-        // todo 发送通知这里暂时单线程
+        // todo Send notification here temporarily single thread     发送通知这里暂时单线程
         for (NoticeReceiver receiver : receivers) {
             switch (receiver.getType()) {
-                // todo 短信通知
-                case 0: break;
-                case 1: sendEmailAlert(receiver, alert); break;
-                case 2: sendWebHookAlert(receiver, alert); break;
-                case 3: sendWeChatAlert(receiver, alert); break;
-                case 4: sendWeWorkRobotAlert(receiver, alert); break;
-                case 5: sendDingTalkRobotAlert(receiver, alert); break;
-                case 6: sendFlyBookAlert(receiver,alert); break;
-                default: break;
+                // todo SMS notification    短信通知
+                case 0:
+                    break;
+                case 1:
+                    sendEmailAlert(receiver, alert);
+                    break;
+                case 2:
+                    sendWebHookAlert(receiver, alert);
+                    break;
+                case 3:
+                    sendWeChatAlert(receiver, alert);
+                    break;
+                case 4:
+                    sendWeWorkRobotAlert(receiver, alert);
+                    break;
+                case 5:
+                    sendDingTalkRobotAlert(receiver, alert);
+                    break;
+                case 6:
+                    sendFlyBookAlert(receiver, alert);
+                    break;
+                default:
+                    break;
             }
         }
     }
 
     /**
+     * Send alert information through FeiShu
      * 通过飞书发送告警信息
-     * @param receiver 接收人
-     * @param alert 告警信息
+     *
+     * @param receiver Notification configuration information   通知配置信息
+     * @param alert    Alarm information                        告警信息
      */
     private void sendFlyBookAlert(NoticeReceiver receiver, Alert alert) {
         FlyBookWebHookDto flyBookWebHookDto = new FlyBookWebHookDto();
@@ -183,9 +205,11 @@ public class DispatchAlarm {
     }
 
     /**
+     * Send alarm information through DingTalk robot
      * 通过钉钉机器人发送告警信息
-     * @param receiver  通知配置信息
-     * @param alert     告警信息
+     *
+     * @param receiver Notification configuration information   通知配置信息
+     * @param alert    Alarm information                        告警信息
      */
     private void sendDingTalkRobotAlert(NoticeReceiver receiver, Alert alert) {
         DingTalkWebHookDto dingTalkWebHookDto = new DingTalkWebHookDto();
@@ -216,9 +240,11 @@ public class DispatchAlarm {
     }
 
     /**
+     * Send alarm information through enterprise WeChat
      * 通过企业微信发送告警信息
-     * @param receiver  通知配置信息
-     * @param alert     告警信息
+     *
+     * @param receiver Notification configuration information   通知配置信息
+     * @param alert    Alarm information                        告警信息
      */
     private void sendWeWorkRobotAlert(NoticeReceiver receiver, Alert alert) {
         WeWorkWebHookDto weWorkWebHookDTO = new WeWorkWebHookDto();
@@ -231,7 +257,7 @@ public class DispatchAlarm {
         if (alert.getPriority() < CommonConstants.ALERT_PRIORITY_CODE_WARNING) {
             content.append("告警级别 : <font color=\"warning\">")
                     .append(CommonUtil.transferAlertPriority(alert.getPriority())).append("</font>\n");
-        }else {
+        } else {
             content.append("告警级别 : <font color=\"comment\">")
                     .append(CommonUtil.transferAlertPriority(alert.getPriority())).append("</font>\n");
         }
@@ -273,28 +299,28 @@ public class DispatchAlarm {
     }
 
 
-    private void sendEmailAlert(final NoticeReceiver receiver,final Alert alert){
-        try{
+    private void sendEmailAlert(final NoticeReceiver receiver, final Alert alert) {
+        try {
             MimeMessage mimeMessage = javaMailSender.createMimeMessage();
-            MimeMessageHelper messageHelper = new MimeMessageHelper(mimeMessage,true,"UTF-8");
+            MimeMessageHelper messageHelper = new MimeMessageHelper(mimeMessage, true, "UTF-8");
             messageHelper.setSubject("TanCloud探云-监控告警");
-            //设置发件人Email
+            //Set sender Email 设置发件人Email
             messageHelper.setFrom(emailFromUser);
-            //设定收件人Email
-            messageHelper.setTo(receiver.getEmail());        
+            //Set recipient Email 设定收件人Email
+            messageHelper.setTo(receiver.getEmail());
             messageHelper.setSentDate(new Date());
-            //构建邮件模版
+            //Build email templates 构建邮件模版
             String process = mailService.buildAlertHtmlTemplate(alert);
-            //设置邮件内容模版
-            messageHelper.setText(process,true);   
+            //Set Email Content Template 设置邮件内容模版
+            messageHelper.setText(process, true);
             javaMailSender.send(mimeMessage);
-        }catch (Exception e){
-            log.error("[邮箱告警] error，Exception information={}",e.getMessage());
+        } catch (Exception e) {
+            log.error("[Email Alert] Exception，Exception information={}", e.getMessage());
         }
     }
 
     private List<NoticeReceiver> matchReceiverByNoticeRules(Alert alert) {
-        // todo 使用缓存
+        // todo use cache 使用缓存
         return noticeConfigService.getReceiverFilterRule(alert);
     }
 

manager/src/main/java/com/usthe/manager/controller/AccountController.java

@@ -29,17 +29,20 @@ import static com.usthe.common.util.CommonConstants.MONITOR_LOGIN_FAILED_CODE;
 import static org.springframework.http.MediaType.APPLICATION_JSON_VALUE;
 
 /**
+ * Authentication registration TOKEN management API
  * 认证注册TOKEN管理API
+ *
  * @author tomsun28
  * @date 13:11 2019-05-26
  */
-@Api(tags = "认证注册TOKEN管理API")
+@Api(tags = "en: Authentication registration TOKEN management API,zh: 认证注册TOKEN管理API")
 @RestController()
 @RequestMapping(value = "/account/auth", produces = {APPLICATION_JSON_VALUE})
 @Slf4j
 public class AccountController {
 
     /**
+     * Token validity time in seconds
      * TOKEN有效期时间 单位秒
      */
     private static final long PERIOD_TIME = 3600L;
@@ -50,7 +53,7 @@ public class AccountController {
     private SurenessAccountProvider accountProvider = new DocumentAccountProvider();
 
     @PostMapping("/form")
-    @ApiOperation(value = "账户登录", notes = "账户密码登录获取关联用户信息")
+    @ApiOperation(value = "Account password login to obtain associated user information", notes = "账户密码登录获取关联用户信息")
     public ResponseEntity<Message<Map<String, String>>> authGetToken(@RequestBody LoginDto loginDto) {
 
         SurenessAccount account = accountProvider.loadAccount(loginDto.getIdentifier());
@@ -76,7 +79,7 @@ public class AccountController {
         }
         // Get the roles the user has - rbac
         List<String> roles = account.getOwnRoles();
-        // 签发TOKEN
+        // Issue TOKEN      签发TOKEN
         String issueToken = JsonWebTokenUtil.issueJwt(loginDto.getIdentifier(), PERIOD_TIME, roles);
         Map<String, Object> customClaimMap = new HashMap<>(1);
         customClaimMap.put("refresh", true);
@@ -88,9 +91,9 @@ public class AccountController {
     }
 
     @GetMapping("/refresh/{refreshToken}")
-    @ApiOperation(value = "TOKEN刷新", notes = "使用刷新TOKEN重新获取TOKEN")
+    @ApiOperation(value = "Use refresh TOKEN to re-acquire TOKEN", notes = "使用刷新TOKEN重新获取TOKEN")
     public ResponseEntity<Message<Map<String, String>>> refreshToken(
-            @ApiParam(value = "刷新TOKEN", example = "xxx")
+            @ApiParam(value = "en: Refresh TOKEN,zh: 刷新TOKEN", example = "xxx")
             @PathVariable("refreshToken") @NotNull final String refreshToken) {
         String userId;
         boolean isRefresh;
@@ -116,7 +119,7 @@ public class AccountController {
             return ResponseEntity.ok(message);
         }
         List<String> roles = account.getOwnRoles();
-        // 签发TOKEN
+        // Issue TOKEN      签发TOKEN
         String issueToken = JsonWebTokenUtil.issueJwt(userId, PERIOD_TIME, roles);
         Map<String, Object> customClaimMap = new HashMap<>(1);
         customClaimMap.put("refresh", true);

manager/src/main/java/com/usthe/manager/controller/AppController.java

@@ -21,11 +21,13 @@ import java.util.List;
 import static org.springframework.http.MediaType.APPLICATION_JSON_VALUE;
 
 /**
+ * Monitoring Type Management API
  * 监控类型管理API
+ *
  * @author tomsun28
  * @date 2021/11/14 16:47
  */
-@Api(tags = "监控类型管理API")
+@Api(tags = "en: Monitoring Type Management API,zh: 监控类型管理API")
 @RestController
 @RequestMapping(path = "/apps", produces = {APPLICATION_JSON_VALUE})
 public class AppController {
@@ -34,31 +36,32 @@ public class AppController {
     private AppService appService;
 
     @GetMapping(path = "/{app}/params")
-    @ApiOperation(value = "查询监控类型的参数结构", notes = "根据app查询指定监控类型的需要输入参数的结构")
+    @ApiOperation(value = "The structure of the input parameters required to specify the monitoring type according to the app query", notes = "根据app查询指定监控类型的需要输入参数的结构")
     public ResponseEntity<Message<List<ParamDefine>>> queryAppParamDefines(
-            @ApiParam(value = "监控类型名称", example = "api") @PathVariable("app") final String app) {
+            @ApiParam(value = "en: Monitoring type name,zh: 监控类型名称", example = "api") @PathVariable("app") final String app) {
         List<ParamDefine> paramDefines = appService.getAppParamDefines(app.toLowerCase());
         return ResponseEntity.ok(new Message<>(paramDefines));
     }
 
     @GetMapping(path = "/{app}/define")
-    @ApiOperation(value = "查询监控类型的结构定义", notes = "根据app查询指定监控类型的定义结构")
+    @ApiOperation(value = "The definition structure of the specified monitoring type according to the app query", notes = "根据app查询指定监控类型的定义结构")
     public ResponseEntity<Message<Job>> queryAppDefine(
-            @ApiParam(value = "监控类型名称", example = "api") @PathVariable("app") final String app) {
+            @ApiParam(value = "en: Monitoring type name,zh: 监控类型名称", example = "api") @PathVariable("app") final String app) {
         Job define = appService.getAppDefine(app.toLowerCase());
         return ResponseEntity.ok(new Message<>(define));
     }
 
     @GetMapping(path = "/hierarchy")
-    @ApiOperation(value = "查询全部监控指标层级", notes = "查询所有监控的类型-指标组-指标层级,以层级结构输出")
+    @ApiOperation(value = "Query all monitored types-indicator group-indicator level, output in a hierarchical structure", notes = "查询所有监控的类型-指标组-指标层级,以层级结构输出")
     public ResponseEntity<Message<List<Hierarchy>>> queryAppsHierarchy(
-            @ApiParam(value = "语言类型", example = "zh-CN", defaultValue = "zh-CN")
+            @ApiParam(value = "en: language type,zh: 语言类型",
+                    example = "zh-CN", defaultValue = "zh-CN")
             @RequestParam(name = "lang", required = false) String lang) {
         if (lang == null || "".equals(lang)) {
             lang = "zh-CN";
         }
-        lang = "zh-cn".equalsIgnoreCase(lang)? "zh-CN" : lang;
-        lang = "en-us".equalsIgnoreCase(lang)? "en-US" : lang;
+        lang = "zh-cn".equalsIgnoreCase(lang) ? "zh-CN" : lang;
+        lang = "en-us".equalsIgnoreCase(lang) ? "en-US" : lang;
         List<Hierarchy> appHierarchies = appService.getAllAppHierarchy(lang);
         return ResponseEntity.ok(new Message<>(appHierarchies));
     }

manager/src/main/java/com/usthe/manager/controller/MonitorController.java

@@ -1,6 +1,7 @@
 package com.usthe.manager.controller;
 
 import com.usthe.common.entity.dto.Message;
+import com.usthe.common.entity.manager.Monitor;
 import com.usthe.manager.pojo.dto.MonitorDto;
 import com.usthe.manager.service.MonitorService;
 import io.swagger.annotations.Api;
@@ -23,11 +24,13 @@ import static com.usthe.common.util.CommonConstants.MONITOR_NOT_EXIST_CODE;
 import static org.springframework.http.MediaType.APPLICATION_JSON_VALUE;
 
 /**
+ * Monitoring management API
  * 监控管理API
+ *
  * @author tomsun28
  * @date 2021/11/14 10:57
  */
-@Api(tags = "监控管理API")
+@Api(tags = "en: Monitoring management API,zh: 监控管理API")
 @RestController
 @RequestMapping(path = "/monitor", produces = {APPLICATION_JSON_VALUE})
 public class MonitorController {
@@ -36,12 +39,12 @@ public class MonitorController {
     private MonitorService monitorService;
 
     @PostMapping
-    @ApiOperation(value = "新增监控", notes = "新增一个监控应用")
+    @ApiOperation(value = "Add a monitoring application", notes = "新增一个监控应用")
     public ResponseEntity<Message<Void>> addNewMonitor(@Valid @RequestBody MonitorDto monitorDto) {
-        // 校验请求数据
+        // Verify request data  校验请求数据
         monitorService.validate(monitorDto, false);
         if (monitorDto.isDetected()) {
-            // 进行探测
+            // Probe    进行探测
             monitorService.detectMonitor(monitorDto.getMonitor(), monitorDto.getParams());
         }
         monitorService.addMonitor(monitorDto.getMonitor(), monitorDto.getParams());
@@ -49,12 +52,12 @@ public class MonitorController {
     }
 
     @PutMapping
-    @ApiOperation(value = "修改监控", notes = "修改一个已存在监控应用")
+    @ApiOperation(value = "Modify an existing monitoring application", notes = "修改一个已存在监控应用")
     public ResponseEntity<Message<Void>> modifyMonitor(@Valid @RequestBody MonitorDto monitorDto) {
-        // 校验请求数据
+        // Verify request data  校验请求数据
         monitorService.validate(monitorDto, true);
         if (monitorDto.isDetected()) {
-            // 进行探测
+            // Probe    进行探测
             monitorService.detectMonitor(monitorDto.getMonitor(), monitorDto.getParams());
         }
         monitorService.modifyMonitor(monitorDto.getMonitor(), monitorDto.getParams());
@@ -62,9 +65,10 @@ public class MonitorController {
     }
 
     @GetMapping(path = "/{id}")
-    @ApiOperation(value = "查询监控", notes = "根据监控ID获取监控信息")
+    @ApiOperation(value = "Obtain monitoring information based on monitoring ID", notes = "根据监控ID获取监控信息")
     public ResponseEntity<Message<MonitorDto>> getMonitor(
             @ApiParam(value = "监控ID", example = "6565463543") @PathVariable("id") final long id) {
+        // Get monitoring information
         // 获取监控信息
         MonitorDto monitorDto = monitorService.getMonitorDto(id);
         Message.MessageBuilder<MonitorDto> messageBuilder = Message.builder();
@@ -77,16 +81,20 @@ public class MonitorController {
     }
 
     @DeleteMapping(path = "/{id}")
-    @ApiOperation(value = "删除监控", notes = "根据监控ID删除监控应用,监控不存在也是删除成功")
+    @ApiOperation(value = "Delete monitoring application based on monitoring ID", notes = "根据监控ID删除监控应用")
     public ResponseEntity<Message<Void>> deleteMonitor(
-            @ApiParam(value = "监控ID", example = "6565463543") @PathVariable("id") final long id) {
-        // 删除监控,监控不存在或删除成功都返回成功
+            @ApiParam(value = "en: Monitor ID,zh: 监控ID", example = "6565463543") @PathVariable("id") final long id) {
+        // delete monitor 删除监控
+        Monitor monitor = monitorService.getMonitor(id);
+        if (monitor == null) {
+            return ResponseEntity.ok(new Message<>("The specified monitoring was not queried, please check whether the parameters are correct"));
+        }
         monitorService.deleteMonitor(id);
         return ResponseEntity.ok(new Message<>("Delete success"));
     }
 
     @PostMapping(path = "/detect")
-    @ApiOperation(value = "探测监控", notes = "根据监控信息去对此监控进行可用性探测")
+    @ApiOperation(value = "Perform availability detection on this monitoring based on monitoring information", notes = "根据监控信息去对此监控进行可用性探测")
     public ResponseEntity<Message<Void>> detectMonitor(@Valid @RequestBody MonitorDto monitorDto) {
         monitorService.validate(monitorDto, null);
         monitorService.detectMonitor(monitorDto.getMonitor(), monitorDto.getParams());

manager/src/main/java/com/usthe/manager/controller/MonitorsController.java

@@ -29,34 +29,40 @@ import java.util.List;
 import static org.springframework.http.MediaType.APPLICATION_JSON_VALUE;
 
 /**
+ * Monitor and manage batch API
  * 监控管理批量API
+ *
  * @author tom
  * @date 2021/12/1 20:43
  */
-@Api(tags = "监控列表API")
+@Api(tags = "en: Monitor and manage batch API,zh: 监控列表API")
 @RestController
 @RequestMapping(path = "/monitors", produces = {APPLICATION_JSON_VALUE})
 public class MonitorsController {
 
+    private static final byte ALL_MONITOR_STATUS = 9;
+
     @Autowired
     private MonitorService monitorService;
 
     @GetMapping
-    @ApiOperation(value = "查询监控列表", notes = "根据查询过滤项获取监控信息列表")
+    @ApiOperation(value = "Obtain a list of monitoring information based on query filter items",
+            notes = "根据查询过滤项获取监控信息列表")
     public ResponseEntity<Message<Page<Monitor>>> getMonitors(
-            @ApiParam(value = "监控ID", example = "6565463543") @RequestParam(required = false) final List<Long> ids,
-            @ApiParam(value = "监控类型", example = "linux") @RequestParam(required = false) final String app,
-            @ApiParam(value = "监控名称，模糊查询", example = "linux-127.0.0.1") @RequestParam(required = false) final String name,
-            @ApiParam(value = "监控Host，模糊查询", example = "127.0.0.1") @RequestParam(required = false) final String host,
-            @ApiParam(value = "排序字段，默认id", example = "name") @RequestParam(defaultValue = "id") final String sort,
-            @ApiParam(value = "排序方式，asc:升序，desc:降序", example = "desc") @RequestParam(defaultValue = "desc") final String order,
-            @ApiParam(value = "列表当前分页", example = "0") @RequestParam(defaultValue = "0") int pageIndex,
-            @ApiParam(value = "列表分页数量", example = "8") @RequestParam(defaultValue = "8") int pageSize) {
+            @ApiParam(value = "en: Monitor ID,zh: 监控ID", example = "6565463543") @RequestParam(required = false) final List<Long> ids,
+            @ApiParam(value = "en: Monitor Type,zh: 监控类型", example = "linux") @RequestParam(required = false) final String app,
+            @ApiParam(value = "en: Monitor Name,zh: 监控名称，模糊查询", example = "linux-127.0.0.1") @RequestParam(required = false) final String name,
+            @ApiParam(value = "en: Monitor Host,zh: 监控Host，模糊查询", example = "127.0.0.1") @RequestParam(required = false) final String host,
+            @ApiParam(value = "en: Monitor Status,zh: 监控状态 0:未监控,1:可用,2:不可用,3:不可达,4:挂起,9:全部状态", example = "1") @RequestParam(required = false) final Byte status,
+            @ApiParam(value = "en: Sort Field,default id,zh: 排序字段，默认id", example = "name") @RequestParam(defaultValue = "id") final String sort,
+            @ApiParam(value = "en: Sort by,zh: 排序方式，asc:升序，desc:降序", example = "desc") @RequestParam(defaultValue = "desc") final String order,
+            @ApiParam(value = "en: List current page,zh: 列表当前分页", example = "0") @RequestParam(defaultValue = "0") int pageIndex,
+            @ApiParam(value = "en: Number of list pagination,zh: 列表分页数量", example = "8") @RequestParam(defaultValue = "8") int pageSize) {
 
         Specification<Monitor> specification = (root, query, criteriaBuilder) -> {
             List<Predicate> andList = new ArrayList<>();
             if (ids != null && !ids.isEmpty()) {
-                CriteriaBuilder.In<Long> inPredicate= criteriaBuilder.in(root.get("id"));
+                CriteriaBuilder.In<Long> inPredicate = criteriaBuilder.in(root.get("id"));
                 for (long id : ids) {
                     inPredicate.value(id);
                 }
@@ -66,6 +72,10 @@ public class MonitorsController {
                 Predicate predicateApp = criteriaBuilder.equal(root.get("app"), app);
                 andList.add(predicateApp);
             }
+            if (status != null && status >= 0 && status < ALL_MONITOR_STATUS) {
+                Predicate predicateStatus = criteriaBuilder.equal(root.get("status"), status);
+                andList.add(predicateStatus);
+            }
             Predicate[] andPredicates = new Predicate[andList.size()];
             Predicate andPredicate = criteriaBuilder.and(andList.toArray(andPredicates));
 
@@ -79,11 +89,19 @@ public class MonitorsController {
                 orList.add(predicateName);
             }
             Predicate[] orPredicates = new Predicate[orList.size()];
-            Predicate orPredicate = criteriaBuilder.and(orList.toArray(orPredicates));
+            Predicate orPredicate = criteriaBuilder.or(orList.toArray(orPredicates));
 
-            return query.where(andPredicate,orPredicate).getRestriction();
+            if (andPredicate.getExpressions().isEmpty() && orPredicate.getExpressions().isEmpty()) {
+                return query.where().getRestriction();
+            } else if (andPredicate.getExpressions().isEmpty()) {
+                return query.where(orPredicate).getRestriction();
+            } else if (orPredicate.getExpressions().isEmpty()) {
+                return query.where(andPredicate).getRestriction();
+            } else {
+                return query.where(andPredicate, orPredicate).getRestriction();
+            }
         };
-        // 分页是必须的
+        // Pagination is a must         分页是必须的
         Sort sortExp = Sort.by(new Sort.Order(Sort.Direction.fromString(order), sort));
         PageRequest pageRequest = PageRequest.of(pageIndex, pageSize, sortExp);
         Page<Monitor> monitorPage = monitorService.getMonitors(specification, pageRequest);
@@ -92,18 +110,20 @@ public class MonitorsController {
     }
 
     @GetMapping(path = "/{app}")
-    @ApiOperation(value = "查询指定监控类型的监控列表", notes = "根据查询过滤指定监控类型的所有获取监控信息列表")
+    @ApiOperation(value = "Filter all acquired monitoring information lists of the specified monitoring type according to the query",
+            notes = "根据查询过滤指定监控类型的所有获取监控信息列表")
     public ResponseEntity<Message<List<Monitor>>> getAppMonitors(
-            @ApiParam(value = "监控类型", example = "linux") @PathVariable(required = false) final String app) {
+            @ApiParam(value = "en: Monitoring type,zh: 监控类型", example = "linux") @PathVariable(required = false) final String app) {
         List<Monitor> monitors = monitorService.getAppMonitors(app);
         Message<List<Monitor>> message = new Message<>(monitors);
         return ResponseEntity.ok(message);
     }
 
     @DeleteMapping
-    @ApiOperation(value = "批量删除监控", notes = "根据监控ID列表批量删除监控项")
+    @ApiOperation(value = "Delete monitoring items in batches according to the monitoring ID list",
+            notes = "根据监控ID列表批量删除监控项")
     public ResponseEntity<Message<Void>> deleteMonitors(
-            @ApiParam(value = "监控IDs", example = "6565463543") @RequestParam(required = false) List<Long> ids
+            @ApiParam(value = "en: Monitoring ID List,zh: 监控ID列表", example = "6565463543") @RequestParam(required = false) List<Long> ids
     ) {
         if (ids != null && !ids.isEmpty()) {
             monitorService.deleteMonitors(new HashSet<>(ids));
@@ -113,9 +133,10 @@ public class MonitorsController {
     }
 
     @DeleteMapping("manage")
-    @ApiOperation(value = "批量取消纳管监控", notes = "根据监控ID列表批量取消纳管监控项")
+    @ApiOperation(value = "Unmanaged monitoring items in batches according to the monitoring ID list",
+            notes = "根据监控ID列表批量取消纳管监控项")
     public ResponseEntity<Message<Void>> cancelManageMonitors(
-            @ApiParam(value = "监控IDs", example = "6565463543") @RequestParam(required = false) List<Long> ids
+            @ApiParam(value = "en: Monitoring ID List,zh: 监控ID列表", example = "6565463543") @RequestParam(required = false) List<Long> ids
     ) {
         if (ids != null && !ids.isEmpty()) {
             monitorService.cancelManageMonitors(new HashSet<>(ids));
@@ -125,9 +146,10 @@ public class MonitorsController {
     }
 
     @GetMapping("manage")
-    @ApiOperation(value = "批量启动纳管监控", notes = "根据监控ID列表批量启动纳管监控项")
+    @ApiOperation(value = "Start the managed monitoring items in batches according to the monitoring ID list",
+            notes = "根据监控ID列表批量启动纳管监控项")
     public ResponseEntity<Message<Void>> enableManageMonitors(
-            @ApiParam(value = "监控IDs", example = "6565463543") @RequestParam(required = false) List<Long> ids
+            @ApiParam(value = "en: Monitor ID List,zh: 监控ID列表", example = "6565463543") @RequestParam(required = false) List<Long> ids
     ) {
         if (ids != null && !ids.isEmpty()) {
             monitorService.enableManageMonitors(new HashSet<>(ids));

manager/src/main/java/com/usthe/manager/controller/NoticeConfigController.java

@@ -28,11 +28,13 @@ import java.util.List;
 import static org.springframework.http.MediaType.APPLICATION_JSON_VALUE;
 
 /**
+ * Message Notification Configuration API
  * 消息通知配置API
+ *
  * @author tom
  * @date 2021/12/16 16:18
  */
-@Api(tags = "消息通知配置API")
+@Api(tags = "en: Message Notification Configuration API,zh: 消息通知配置API")
 @RestController()
 @RequestMapping(value = "/notice", produces = {APPLICATION_JSON_VALUE})
 public class NoticeConfigController {
@@ -41,32 +43,36 @@ public class NoticeConfigController {
     private NoticeConfigService noticeConfigService;
 
     @PostMapping(path = "/receiver")
-    @ApiOperation(value = "新增接收人", notes = "新增一个接收人")
+    @ApiOperation(value = "Add a recipient", notes = "新增一个接收人")
     public ResponseEntity<Message<Void>> addNewNoticeReceiver(@Valid @RequestBody NoticeReceiver noticeReceiver) {
         noticeConfigService.addReceiver(noticeReceiver);
         return ResponseEntity.ok(new Message<>("Add success"));
     }
 
     @PutMapping(path = "/receiver")
-    @ApiOperation(value = "修改接收人", notes = "修改已存在的接收人信息")
+    @ApiOperation(value = "Modify existing recipient information", notes = "修改已存在的接收人信息")
     public ResponseEntity<Message<Void>> editNoticeReceiver(@Valid @RequestBody NoticeReceiver noticeReceiver) {
         noticeConfigService.editReceiver(noticeReceiver);
         return ResponseEntity.ok(new Message<>("Edit success"));
     }
 
     @DeleteMapping(path = "/receiver/{id}")
-    @ApiOperation(value = "删除指定接收人", notes = "删除已存在的接收人信息")
+    @ApiOperation(value = "Delete existing recipient information", notes = "删除已存在的接收人信息")
     public ResponseEntity<Message<Void>> deleteNoticeReceiver(
-            @ApiParam(value = "接收人ID", example = "6565463543") @PathVariable("id") final Long receiverId) {
-        // 不存在或删除成功都返回成功
+            @ApiParam(value = "en: Recipient ID,zh: 接收人ID", example = "6565463543") @PathVariable("id") final Long receiverId) {
+        NoticeReceiver noticeReceiver = noticeConfigService.getReceiverById(receiverId);
+        if (noticeReceiver == null) {
+            return ResponseEntity.ok(new Message<>("The relevant information of the recipient could not be found, please check whether the parameters are correct"));
+        }
         noticeConfigService.deleteReceiver(receiverId);
         return ResponseEntity.ok(new Message<>("Delete success"));
     }
 
     @GetMapping(path = "/receivers")
-    @ApiOperation(value = "查询消息通知接收人", notes = "根据查询过滤项获取消息通知接收人列表")
+    @ApiOperation(value = "Get a list of message notification recipients based on query filter items",
+            notes = "根据查询过滤项获取消息通知接收人列表")
     public ResponseEntity<Message<List<NoticeReceiver>>> getReceivers(
-            @ApiParam(value = "接收人名称，模糊查询", example = "tom") @RequestParam(required = false) final String name) {
+            @ApiParam(value = "en: Recipient name,zh: 接收人名称，模糊查询", example = "tom") @RequestParam(required = false) final String name) {
 
         Specification<NoticeReceiver> specification = (root, query, criteriaBuilder) -> {
             Predicate predicate = criteriaBuilder.conjunction();
@@ -83,32 +89,38 @@ public class NoticeConfigController {
 
 
     @PostMapping(path = "/rule")
-    @ApiOperation(value = "新增通知策略", notes = "新增一个通知策略")
+    @ApiOperation(value = "Add a notification policy", notes = "新增一个通知策略")
     public ResponseEntity<Message<Void>> addNewNoticeRule(@Valid @RequestBody NoticeRule noticeRule) {
         noticeConfigService.addNoticeRule(noticeRule);
         return ResponseEntity.ok(new Message<>("Add success"));
     }
 
     @PutMapping(path = "/rule")
-    @ApiOperation(value = "修改通知策略", notes = "修改已存在的通知策略信息")
+    @ApiOperation(value = "Modify existing notification policy information", notes = "修改已存在的通知策略信息")
     public ResponseEntity<Message<Void>> editNoticeRule(@Valid @RequestBody NoticeRule noticeRule) {
         noticeConfigService.editNoticeRule(noticeRule);
         return ResponseEntity.ok(new Message<>("Edit success"));
     }
 
     @DeleteMapping(path = "/rule/{id}")
-    @ApiOperation(value = "删除指定通知策略", notes = "删除已存在的通知策略信息")
+    @ApiOperation(value = "Delete existing notification policy information", notes = "删除已存在的通知策略信息")
     public ResponseEntity<Message<Void>> deleteNoticeRule(
-            @ApiParam(value = "通知策略ID", example = "6565463543") @PathVariable("id") final Long ruleId) {
-        // 不存在或删除成功都返回成功
+            @ApiParam(value = "en: Notification Policy ID,zh: 通知策略ID", example = "6565463543") @PathVariable("id") final Long ruleId) {
+        // Returns success if it does not exist or if the deletion is successful
+        // todo 不存在或删除成功都返回成功
+        NoticeRule noticeRule = noticeConfigService.getNoticeRulesById(ruleId);
+        if (noticeRule == null) {
+            return ResponseEntity.ok(new Message<>("The specified notification rule could not be queried, please check whether the parameters are correct"));
+        }
         noticeConfigService.deleteNoticeRule(ruleId);
         return ResponseEntity.ok(new Message<>("Delete success"));
     }
 
     @GetMapping(path = "/rules")
-    @ApiOperation(value = "查询消息通知策略", notes = "根据查询过滤项获取消息通知策略列表")
+    @ApiOperation(value = "Get a list of message notification policies based on query filter items",
+            notes = "根据查询过滤项获取消息通知策略列表")
     public ResponseEntity<Message<List<NoticeRule>>> getRules(
-            @ApiParam(value = "接收人名称，模糊查询", example = "rule1") @RequestParam(required = false) final String name) {
+            @ApiParam(value = "en: Recipient name,zh: 接收人名称，模糊查询", example = "rule1") @RequestParam(required = false) final String name) {
 
         Specification<NoticeRule> specification = (root, query, criteriaBuilder) -> {
             Predicate predicate = criteriaBuilder.conjunction();

manager/src/main/java/com/usthe/manager/controller/SummaryController.java

@@ -18,11 +18,13 @@ import java.util.List;
 import static org.springframework.http.MediaType.APPLICATION_JSON_VALUE;
 
 /**
+ * System Summary Statistics API
  * 系统摘要统计API
+ *
  * @author tom
  * @date 2021/12/7 15:57
  */
-@Api(tags = "系统摘要统计API")
+@Api(tags = "en: System Summary Statistics API,zh: 系统摘要统计API")
 @RestController
 @RequestMapping(path = "/summary", produces = {APPLICATION_JSON_VALUE})
 public class SummaryController {
@@ -31,7 +33,7 @@ public class SummaryController {
     private MonitorService monitorService;
 
     @GetMapping
-    @ApiOperation(value = "查询应用类别监控统计", notes = "查询所有应用类别监控统计信息")
+    @ApiOperation(value = "Query all application category monitoring statistics", notes = "查询所有应用类别监控统计信息")
     public ResponseEntity<Message<Dashboard>> appMonitors() {
         List<AppCount> appsCount = monitorService.getAllAppMonitorsCount();
         Message<Dashboard> message = new Message<>(new Dashboard(appsCount));