持续集成（jenkins + pipeline + k8s）
目前网上自动化持续集成的资料很多，但基本上都是局限于jenkins自由风格的job，结合shell脚本来实现持续集成，这种方式的缺点也很明显：
而当前主流技术是 “ k8s + 微服务 ” 等，我们完全可以利用k8s的优势来完成持续构建任务，每次构建时可以调度到任意节点，或者是具有指定标签的节点，这就实现了高可用，另外，结合pipeline，可以轻松简单实现持续集成，并且哪个阶段出问题了一目了然，排查起来也容易。构建出问题，排查困难构建节点挂了，就不能完成构建任务
02
自动化测试框架
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0基础到实现：java + testng + httpclient + allure参考：https://www.cnblogs.com/uncleyong/p/15867903.html03
企业级持续集成技术栈
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git + gitlab + jenkins + pipeline + maven + harbor + docker + k8s可以整合python、java等各种自动化测试框架流程：拉取代码--》mvn打包--》构建镜像--》新镜像发布到k8s--》拉取自动化测试代码--》自动化测试--》allure报告环境：jenkins使用k8s作为构建环境，在某个节点执行测试
04
环境规划
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192.168.117.160：harbor、jenkins、maven
192.168.117.161：k8s-master
192.168.117.162：k8s-node01
192.168.117.163：k8s-node02
192.168.117.180：gitlab
每台虚拟机都安装了git
05
环境搭建
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git安装及使用：https://www.cnblogs.com/uncleyong/p/10854115.html
gitlab安装及使用：https://www.cnblogs.com/uncleyong/p/16557785.html
maven安装及使用：https://www.cnblogs.com/uncleyong/p/10743181.html
docker安装及使用：https://www.cnblogs.com/uncleyong/p/8894133.html
harbor安装以及使用：https://www.cnblogs.com/uncleyong/p/15469575.html
k8s安装：https://www.cnblogs.com/uncleyong/p/15499732.html（k8s操作：https://www.cnblogs.com/uncleyong/p/15499743.html）
jenkins搭建及devops自动化平台相关配置：https://www.cnblogs.com/uncleyong/p/16555667.html
allure报告：allure-commandline下载、安装、配置（linux或者docker），https://www.cnblogs.com/uncleyong/p/16726826.html
jenkins把自动化测试结果发送到钉钉群：https://www.cnblogs.com/uncleyong/p/16724590.html
06
pipeline设计
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pipeline常用功能：https://www.cnblogs.com/uncleyong/p/16705620.html
使用Blue Ocean设计pipeline脚本：https://www.cnblogs.com/uncleyong/p/16727971.html说明：由于资源不足，暂未加入sonarq
07
pipeline具体实现
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结合上面在Blue Ocean中设计的pipeline骨架，我们来完善并实现整个过程parameters
可以选择要构建的分支parameters {gitParameter branch: '', branchFilter: 'origin/(.*)', defaultValue: '', description: '构建的分支', name: 'BRANCH', quickFilterEnabled: false, selectedValue: 'NONE', sortMode: 'NONE', tagFilter: '*', type: 'GitParameterDefinition'}
环境变量
environment {HARBOR_ADDRESS = "192.168.117.160"IMAGE_NAME = "gift"NAMESPACE = "gift"}
agent
k8s作为构建环境agent {kubernetes {cloud 'qzcsbj_kubernetes'yaml '''apiVersion: v1kind: Podspec:containers:name: jnlpimagePullPolicy: IfNotPresentargs: [\'$(JENKINS_SECRET)\', \'$(JENKINS_NAME)\']volumeMounts:name: "localtime"readOnly: falseimagePullPolicy: "IfNotPresent"name: "kubectl"tty: truecommand:env:value: "en_US:en"value: "en_US.UTF-8"volumeMounts:name: "localtime"readOnly: falseimagePullPolicy: "IfNotPresent"name: "docker"tty: truecommand:env:value: "en_US:en"value: "en_US.UTF-8"volumeMounts:name: "localtime"readOnly: falsename: "dockersock"readOnly: falseimagePullPolicy: "IfNotPresent"name: "maven"tty: truecommand:env:value: "en_US:en"value: "en_US.UTF-8"volumeMounts:name: "localtime"name: "m2dir"readOnly: falseimagePullPolicy: "IfNotPresent"name: "allure"tty: truecommand:env:value: "en_US:en"value: "en_US.UTF-8"volumeMounts:name: "localtime"readOnly: falserestartPolicy: "Never"volumes:hostPath:path: "/var/run/docker.sock"hostPath:path: "/usr/share/zoneinfo/Asia/Shanghai"hostPath:path: "/opt/m2"'''}}
pull project code
stage('pull project code') {parallel {stage('ui build') {when {expression {env.gitlabBranch == null}}steps {sh """echo '=================开始拉取项目代码'"""git(url: 'git@192.168.117.180:qzcsbj/gift.git', branch: "${BRANCH}", credentialsId: 'qzcsbj_gitlab')script {COMMIT_ID = sh(returnStdout: true, script: "git log -n 1 --pretty=format:'%h'").trim()TAG = BUILD_TAG + '-' + COMMIT_IDprintln "Current branch is ${BRANCH}, Commit ID is ${COMMIT_ID}, Image TAG is ${TAG}"}}post {failure {dingtalk (robot:'dd01',type:'MARKDOWN',atAll: true,title: "notice: 拉取项目代码失败",text: ["#### '${JOB_NAME}'项目代码拉取失败\n - 构建：第'${BUILD_NUMBER}'次\n - 状态：'${currentBuild.result}'\n - [查看本次构建详情](${BUILD_URL})"])}}}stage('trigger build') {steps {sh """echo "待更新。。。""""}}}}
mvn package
stage('mvn package') {steps {container(name: 'maven') {sh """echo '=================mvn开始打包'mvn clean package -Dmaven.test.skip=trueecho '=================mvn打包完成'"""}}post {failure {dingtalk (robot:'dd01',type:'MARKDOWN',atAll: true,title: "notice: mvn package失败",text: ["#### '${JOB_NAME}'项目mvn package失败\n - 构建：第'${BUILD_NUMBER}'次\n - 状态：'${currentBuild.result}'\n - [查看本次构建详情](${BUILD_URL})"])}}}
build and push image
stage('build and push image') {environment {HARBOR_USER = credentials('qzcsbj_harbor')}steps {container(name: 'docker') {sh """echo '=================开始构建镜像'docker build -t ${HARBOR_ADDRESS}/${REGISTRY_DIR}/${IMAGE_NAME}:${TAG} .docker login -u ${HARBOR_USER_USR} -p ${HARBOR_USER_PSW} ${HARBOR_ADDRESS}docker push ${HARBOR_ADDRESS}/${REGISTRY_DIR}/${IMAGE_NAME}:${TAG}echo '=================镜像推送完成'"""}}post {failure {dingtalk (robot:'dd01',type:'MARKDOWN',atAll: true,title: "notice: 构建或者推送镜像失败",text: ["#### '${JOB_NAME}'项目构建或者推送镜像失败\n - 构建：第'${BUILD_NUMBER}'次\n - 状态：'${currentBuild.result}'\n - [查看本次构建详情](${BUILD_URL})"])}}}
deploy to k8s
stage('deploy to k8s') {environment {MY_KUBECONFIG = credentials('qzcsbj_k8s')}steps {container(name: 'kubectl'){sh """echo '=================开始部署到k8s'/usr/local/bin/kubectl --kubeconfig $MY_KUBECONFIG set image deploy -l app=${IMAGE_NAME} ${IMAGE_NAME}=${HARBOR_ADDRESS}/${REGISTRY_DIR}/${IMAGE_NAME}:${TAG} -n $NAMESPACEecho '=================部署到k8s完成'"""}}post {success {dingtalk (robot:'dd01',type:'MARKDOWN',atAll: true,title: "notice: 自动化部署到k8s完成",text: ["#### '${JOB_NAME}'项目自动化部署到k8s完成\n - 构建：第'${BUILD_NUMBER}'次\n - 状态：'${currentBuild.result}'\n - [查看本次构建详情](${BUILD_URL})"])}failure {dingtalk (robot:'dd01',type:'MARKDOWN',atAll: true,title: "notice: 自动化部署到k8s失败",text: ["#### '${JOB_NAME}'项目自动化部署到k8s失败\n - 构建：第'${BUILD_NUMBER}'次\n - 状态：'${currentBuild.result}'\n - [查看本次构建详情](${BUILD_URL})"])}}}
pull autotest code
stage("pull autotest code"){steps{sh """echo '=================开始拉取自动化测试代码'"""git(credentialsId: 'qzcsbj_gitlab',url: 'git@192.168.117.180:root/apiautotest.git')}post {failure {dingtalk (robot:'dd01',type:'MARKDOWN',atAll: true,title: "notice: 拉取自动化测试代码失败",text: ["#### 拉取自动化测试代码失败\n - 构建：第'${BUILD_NUMBER}'次\n - 状态：'${currentBuild.result}'\n - [查看本次构建详情](${BUILD_URL})"])}}}
run autotest
stage("run autotest"){steps{sh """mvn clean test -Dsurefire.suiteXmlFiles=testngXML/testng.xml"""}post {success {dingtalk (robot:'dd01',type:'MARKDOWN',atAll: true,title: "notice: 自动化测试完成",text: ["#### '${JOB_NAME}'项目自动化测试完成\n - 构建：第'${BUILD_NUMBER}'次\n - 状态：'${currentBuild.result}'\n - [查看本次构建详情](${BUILD_URL}console)"])}failure {dingtalk (robot:'dd01',type:'MARKDOWN',atAll: true,title: "notice: 自动化测试运行出错",text: ["#### '${JOB_NAME}'项目自动化测试运行出错\n - 构建：第'${BUILD_NUMBER}'次\n - 状态：'${currentBuild.result}'\n - [查看本次构建详情](${BUILD_URL})"])}}}
allure report
stage("allure report"){steps{sh """echo '=================开始生成测试报告'"""allure(includeProperties: false,jdk: '',results: [[path: 'target/allure-results']])}post {success {dingtalk (robot:'dd01',type:'MARKDOWN',atAll: true,title: "notice: 自动化测试报告已生成，全部通过",text: ["#### '${JOB_NAME}'项目自动化测试报告已生成，全部通过\n - 构建：第'${BUILD_NUMBER}'次\n - 状态：'${currentBuild.result}'\n - [查看本次测试报告](${BUILD_URL}allure)"])}unstable {dingtalk (robot:'dd01',type:'MARKDOWN',atAll: true,title: "notice: 自动化测试报告已生成，有未通过的",text: ["#### '${JOB_NAME}'项目自动化测试报告已生成，有未通过的\n - 构建：第'${BUILD_NUMBER}'次\n - 状态：'${currentBuild.result}'\n - [查看本次测试报告](${BUILD_URL}allure)"])}failure {dingtalk (robot:'dd01',type:'MARKDOWN',atAll: true,title: "notice: 自动化测试报告生成出错",text: ["#### '${JOB_NAME}'项目自动化测试报告生成出错\n - 构建：第'${BUILD_NUMBER}'次\n - 状态：'${currentBuild.result}'\n - [查看本次构建详情](${BUILD_URL})"])}}}
08
构建及效果展示
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pipeline脚本可以放在流水线项目的脚本框中
也可以放gitlab上，选择SCM
pipeline脚本放到Jenkinsfile中，Jenkinsfile在gift项目master分支下
第一次构建，点击“Build Now”，会失败，因为我们使用了参数化构建，这次构建获取不到参数值
刷新页面，就可以看到参数化构建了，就可以选择要构建的分支
部署到k8s的通知
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运行自动化测试的通知
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生成allure测试报告的通知
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测试报告的通知可以优化，直接链接到allure测试报告
测试报告
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