GitLabCI模板库的流水线优化实践

51CTO社区编辑加盟指南，欢迎关注！

还是按照之前的目录结构完成的，jobs目录用于存放作业模板。templates目录用于存放流水线模板。这次使用default-pipeline.yml作为所有作业的基础模板。

来源http://.idevops.site

作业模板

作业分为Build、test、codeanalysis、artifactory、deploy部分，在每个作业中配置了rules功能开关，由变量控制最终作业的运行。

jobs/build.yml 构建作业模板

包含两个作业模板，分别是普通的构建模板(maven/npm/gradle)和docker 镜像构建模板。

## build相关作业  .build:   stage: build   script:      - |       ${BUILD_SHELL}   variables:     GIT_CHECKOUT: "true"   rules:     - if: " $RUN_PIPELINE_BUILD == 'no' "       hen: never     - hen: alays   ## 构建镜像 .build-docker:   stage: buildimage   script:     - docker login -u $CI_REGISTRY_USER -p $CI_REGISTRY_PASSWD  $CI_REGISTRY     - docker build -t ${IMAGE_NAME} -f ${DOCKER_FILE_PATH} .     - docker push ${IMAGE_NAME}      - docker rmi ${IMAGE_NAME}    rules:     - if: " $RUN_BUILD_IMAGE == 'no' "       hen: never     - hen: alays 

jobs/test.yml 测试作业模板

主要用于运行项目单元测试，例如maven、gradle、npm单元测试。

#单元测试 .test:   stage: test   script:     - $TEST_SHELL   artifacts:     reports:       junit: ${JUNIT_REPORT_PATH}   rules:     - if: " $RUN_PIPELINE_TEST == 'no' "       hen: never     - hen: alays 

jobs/codeanalysis.yml 代码扫描模板

包含两个作业模板，分别为扫描作业和获取扫描结果。这里面将扫描参数进行了分类，通用的项目参数、特殊的合并请求参数、自定义的项目参数。

##代码扫描 ## ## ##  .code_analysis:   variables:     GLOBAL_PROJECT_ARGS: "-Dsonar.projectKey=${CI_PROJECT_NAME}                            -Dsonar.projectName=${CI_PROJECT_NAME}                            -Dsonar.projectVersion=${CI_COMMIT_REF_NAME}                            -Dsonar.projectDescription=${CI_PROJECT_TITLE}"     GLOBAL_SERVER_ARGS:  "-Dsonar.s.timeout=30                            -Dsonar.links.homepage=${CI_PROJECT_URL}                            -Dsonar.host.url=${SONAR_SERVER_URL}                            -Dsonar.login=${SONAR_SERVER_LOGIN}                           -Dsonar.sourceEncoding=UTF-8 "     GLOBAL_MR_ARGS: " -Dsonar.pullrequest.key=${CI_MERGE_REQUEST_IID}                        -Dsonar.pullrequest.branch=${CI_MERGE_REQUEST_SOURCE_BRANCH_NAME}                        -Dsonar.pullrequest.base=${CI_MERGE_REQUEST_TARGET_BRANCH_NAME}                        -Dsonar.gitlab.ref_name=${CI_COMMIT_REF_NAME}                        -Dsonar.gitlab.mit_sha=${CI_COMMIT_SHA}                        -Dsonar.gitlab.project_id=${CI_PROJECT_PATH}                        -Dsonar.pullrequest.gitlab.repositorySlug=${CI_PROJECT_ID} "     MULTI_BRANCH_ARGS: "-Dsonar.branch.name=${CI_COMMIT_REF_NAME}"   stage: code_analysis   script:     - echo ${GLOBAL_PROJECT_ARGS} ${GLOBAL_SERVER_ARGS} ${SONAR_SCAN_ARGS} ${GLOBAL_MR_ARGS}     #sonar-scanner $GLOBAL_PROJECT_ARGS $GLOBAL_SERVER_ARGS $SCAN_JAVA_ARGS     - |         if [ $CI_PIPELINE_SOURCE == 'merge_request_event' ]                   then            echo "sonar-scanner ${GLOBAL_PROJECT_ARGS} ${GLOBAL_SERVER_ARGS} ${SONAR_SCAN_ARGS} "             sonar-scanner ${GLOBAL_PROJECT_ARGS} ${GLOBAL_SERVER_ARGS} ${SONAR_SCAN_ARGS}          else             echo "sonar-scanner ${GLOBAL_PROJECT_ARGS} ${GLOBAL_SERVER_ARGS} ${SONAR_SCAN_ARGS} ${MULTI_BRANCH_ARGS}"            sonar-scanner ${GLOBAL_PROJECT_ARGS} ${GLOBAL_SERVER_ARGS} ${SONAR_SCAN_ARGS}  ${MULTI_BRANCH_ARGS}         fi    rules:     - if: " $RUN_CODE_ANALYSIS == 'no' "       hen: never     - hen: alays   #### 获取代码扫描结果 .get_analysis_result:   stage: get_analysis_result   script:     - |         SONAR_REPORT_URL=$(grep "ceTaskUrl" .scannerork/report-task.txt  | ak -F = '{OFS="=";print $2,$3}')         echo ${SONAR_REPORT_URL}                           for i in {1..10}         do           curl -k -u "${SONAR_SERVER_LOGIN}":"" ${SONAR_REPORT_URL}  -o sonar_result.txt -s           grep '"status":"SUCCESS"' sonar_result.txt  && SONAR_SCAN_RESULT='SUCCESS'                    if [ ${SONAR_SCAN_RESULT} == 'SUCCESS' ]             then               echo "${SONAR_SCAN_RESULT}"               SONAR_SCAN_RESULT=SUCCESS                curl -k -u "${SONAR_SERVER_LOGIN}":"" "${SONAR_SERVER_URL}/api/qualitygates/project_status?projectKey=$CI_PROJECT_NAME&branch=$CI_COMMIT_REF_NAME" -o result.txt  -s               echo "result info ---->>>>>"               cat result.txt               result=`cat result.txt | ak -F ':' '{print $3}' | ak -F '"' '{print$2}'`                              echo $result                if [ $result == 'ERROR' ]                                  then                    echo "${result}"                   exit 122                   break;               else                   echo "suess!"                   break;               fi                        else             SONAR_SCAN_RESULT='ERROR'             echo "第$i次获取结果信息，不是成功状态，睡眠10秒！"             cat sonar_result.txt             sleep 10           fi         done            rules:     - if: " $RUN_CODE_ANALYSIS == 'no' "       hen: never     - hen: alays 

jobs/artifactory.yml 制品管理作业

包含两个作业，制品上传与下载。使用artifactory制品库接口。

## 制品库相关 ##  .deploy-artifact:   stage: deploy-artifact   script:     - echo "curl -u${ARTIFACT_USER}:${ARTIFACT_PASSWD} -T ${ARTIFACT_PATH} $ARTIFACTORY_URL/$ARTIFACTORY_NAME/$TARGET_FILE_PATH/$TARGET_ARTIFACT_NAME"     - curl -u${ARTIFACT_USER}:${ARTIFACT_PASSWD} -T ${ARTIFACT_PATH} "$ARTIFACTORY_URL/$ARTIFACTORY_NAME/$TARGET_FILE_PATH/$TARGET_ARTIFACT_NAME"   rules:     - if: " $RUN_DEPLOY_ARTIFACTS == 'no' "       hen: never     - hen: alays   .don-artifact:   stage: don-artifact   script:     - curl -u${ARTIFACT_USER}:${ARTIFACT_PASSWD} -O "$ARTIFACTORY_URL/$ARTIFACTORY_NAME/$TARGET_FILE_PATH/$TARGET_ARTIFACT_NAME"     - ls 

jobs/deploy.yml 发布作业模板

发布基于k8s的发布和回滚配置。

## 应用发布   ## 使用kubectl镜像发布 .deploy_k8s:   stage: deploy   script:     - echo $KUBE_TOKEN     - kubectl config set-cluster my-cluster --server=${KUBE_URL} --certificate-authority="${KUBE_CA_PEM_FILE}"     - kubectl config set-credentials admin --token=${KUBE_TOKEN}     - ls -a      - sed -i "s#__namespace__#${NAMESPACE}#g" ${DEPLOY_FILE}     - sed -i "s#__appname__#${APP_NAME}#g" ${DEPLOY_FILE}     - sed -i "s#__containerport__#${CONTAINER_PORT}#g" ${DEPLOY_FILE}      - sed -i "s#__nodeport__#${NODE_PORT}#g" ${DEPLOY_FILE}      - sed -i "s#__imagename__#${IMAGE_NAME}#g" ${DEPLOY_FILE}      - sed -i "s#__CI_ENVIRONMENT_SLUG__#${CI_ENVIRONMENT_SLUG}#g" ${DEPLOY_FILE}     - sed -i "s#__CI_PROJECT_PATH_SLUG__#${CI_PROJECT_PATH_SLUG}#g" ${DEPLOY_FILE}     - sed -i "s#__ingressdomain__#${ENV_URL}#g" ${DEPLOY_FILE}     - cat ${DEPLOY_FILE}     - "kubectl create secret docker-registry ${APP_NAME}              --docker-server=${CI_REGISTRY}              --docker-username=$CI_REGISTRY_USER              --docker-passord=${CI_REGISTRY_PASSWD}              --docker-email=test@test. -n ${NAMESPACE} || echo 'secrets already exists'"     - kubectl apply -f ${DEPLOY_FILE}   rules:     - if: " $RUN_DEPLOY_K8S == 'no'"       hen: never     - hen: manual   environment:     name: "${ENV_NAME}"     url: "http://${ENV_NAME}.${CI_PROJECT_NAMESPACE}.${CI_PROJECT_NAME}.devops."       ## 回滚 .rollout_k8s:   stage: deploy   script:     - rm -rf $HOME/.kube     - kubectl config set-cluster my-cluster --server=${KUBE_URL} --certificate-authority="${KUBE_CA_PEM_FILE}"     - kubectl config set-credentials admin --token=${KUBE_TOKEN}     - kubectl rollout history deployment ${APP_NAME} -n ${NAMESPACE}     - kubectl rollout undo deployment ${APP_NAME} -n ${NAMESPACE}   rules:     - if: " $RUN_DEPLOY_K8S == 'no' "       hen: never     - hen: manual   environment:     name: "${ENV_NAME}"     action: s  default流水线模板

templates/default-pipeline.yml 模板分成个部分

include导入作业模板 variables 定义全局变量 orkflo 定义流水线控制 jobs 构建与发布作业

include导入作业模板

include:   - project: 'cidevops/cidevops-neci-service'     ref: master     file: 'jobs/build.yml'   - project: 'cidevops/cidevops-neci-service'     ref: master     file: 'jobs/test.yml'   - project: 'cidevops/cidevops-neci-service'     ref: master     file: 'jobs/codeanalysis.yml'   - project: 'cidevops/cidevops-neci-service'     ref: master     file: 'jobs/deploy.yml'   - project: 'cidevops/cidevops-neci-service'     ref: master     file: 'jobs/artifactory.yml' 

variables 定义全局变量

variables:   ## 全局配置   GIT_CLONE_PATH: ${CI_BUILDS_DIR}/builds/${CI_PROJECT_NAMESPACE}/${CI_PROJECT_NAME}/${CI_PIPELINE_ID}       GIT_CHECKOUT: "false"   CACHE_DIR: ""    ## 作业控制   RUN_PIPELINE_BUILD: ""     #是否运行构建 yes/no    RUN_PIPELINE_TEST: ""      #是否运行测试 yes/no    RUN_CODE_ANALYSIS: ""      #是否代码扫描 yes/no    RUN_BUILD_IMAGE: ""        #是否生成镜像 yes/no   RUN_DEPLOY_ARTIFACTS: ""   #是否上传制品 yes/no   RUN_DEPLOY_K8S: ""         #是否发布K8S yes/no    ## 依赖容器镜像   BUILD_IMAGE: ""   CURL_IMAGE: "curlimages/curl:7.70.0"   SONAR_IMAGE: "sonarsource/sonar-scanner-cli:latest"   KUBECTL_IMAGE: "lucj/kubectl:1.17.2"         ## 构建测试参数   MAVEN_OPTS: ""                #maven构建参数    GRADLE_OPTS: ""               #gradle构建参数   BUILD_SHELL: ''               #构建命令    ## 单元测试参数   TEST_SHELL : 'mvn test  --settings=./settings.xml '       #测试命令   JUNIT_REPORT_PATH: 'target/surefire-reports/TEST-.xml'   #单元测试报告    ## 代码扫描   SONAR_SOURCE_DIR : "src"                                          #项目源码目录   SONAR_SERVER_URL: "http://192.168.1.200:30090"                    #SonarQube服务器信息   SONAR_SERVER_LOGIN: "ee2bcb37deeb6dfe3a07fe08fb529559b00c1b7b"    #Sonar Token最好在项目中定义。   SONAR_SCAN_ARGS: "-Dsonar.sources=${SONAR_SOURCE_DIR}"            #项目扫描参数    ## 构建镜像   CI_REGISTRY: 'registry.-beijing.aliyuncs.'               #镜像仓库地址                 CI_REGISTRY_USER: 'xxxxxx'                               #仓库用户信息   #CI_REGISTRY_PASSWD: 'xxxxxxxx.'                              #仓库用户密码   IMAGE_NAME: "${CI_REGISTRY}/${CI_PROJECT_PATH}:${CI_COMMIT_REF_NAME}-${CI_COMMIT_SHORT_SHA}"     #镜像名称   DOCKER_FILE_PATH: "./Dockerfile"                              #Dockerfile位置    ## 上传制品库(artifactory)   ARTIFACTORY_URL: "http://192.168.1.200:30082/artifactory"     #制品库地址   ARTIFACTORY_NAME: "${CI_PROJECT_NAMESPACE}"                   #制品库名称   ARTIFACT_PACKAGE: "jar"                                       #制品类型   ARTIFACT_PATH: "target/.${ARTIFACT_PACKAGE}"                 #制品位置   TARGET_FILE_PATH: "${CI_PROJECT_NAMESPACE}/${CI_PROJECT_NAME}/${CI_COMMIT_REF_NAME}-${CI_COMMIT_SHORT_SHA}"   #目标制品位置(目录结构)   TARGET_ARTIFACT_NAME: "${CI_PROJECT_NAME}-${CI_COMMIT_REF_NAME}-${CI_COMMIT_SHORT_SHA}.${ARTIFACT_PACKAGE}"   #目标制品名称    ## 部署应用k8s   APP_NAME: "$CI_PROJECT_NAME"                #应用名称  deploymentName   CONTAINER_PORT: "8081"                      #服务端口  servicesPort   NAMESPACE: "$CI_PROJECT_NAME-$CI_PROJECT_ID-$CI_ENVIRONMENT_SLUG"             #名称空间   ENV_URL: "${ENV_NAME}.${CI_PROJECT_NAMESPACE}.${CI_PROJECT_NAME}.devops."  #IngressHosts 

流水线设置

## 流水线控制 orkflo:   rules:     - if: "$CI_MERGE_REQUEST_ID"          #过滤合并请求       hen: never     - if: "$CI_PIPELINE_SOURCE == 'eb'"    #允许在eb页面发布     - if: "$CI_COMMIT_REF_NAME =~ /^RELEASE-/ || $CI_COMMIT_REF_NAME =~ /master/ "  #过滤版本分支和主干分支提交代码触发       hen: never     - if: "$CI_COMMIT_BEFORE_SHA == '0000000000000000000000000000000000000000'"     #过滤分支创建请求       hen: never     ### 默认策略     - hen: alays   ## 运行阶段   stages:   - build   - test   - parallel01   - get_analysis_result   - deploy-artifact   - deploy-feature   - rollout-feature   - deploy-uat   - rollout-uat   - deploy-stag   - rollout-stag   - deploy-prod   - rollout-prod  cache:   paths:     - ${CACHE_DIR}      before_script:   - export 

构建作业配置

################# Jobs Configure ##################### ## 构建作业 build:   image: ${BUILD_IMAGE}   extends: .build  ## 测试作业 test:   image: ${BUILD_IMAGE}   extends: .test   before_script:     - ls      - ls ${CACHE_DIR}  ## 代码扫描 code_analysis:   stage: parallel01   image: ${SONAR_IMAGE}   extends: .code_analysis  ## 获取构建结果 get_analysis_result:   image: ${CURL_IMAGE}   extends: .get_analysis_result   needs:     - code_analysis   ## 构建镜像 build_image:   image: docker:latest   services:     - name: docker:dind   stage: parallel01   extends: .build-docker   ## 上传制品 deploy_artifact:   image: ${CURL_IMAGE}   stage: deploy-artifact   extends: .deploy-artifact  ## 下载制品   #don_artifact:   #  image: ${CURL_IMAGE} #  stage: don_artifact #  extends: .don-artifact 

发布部署作业配置

#################Deploy Feature Jobs Configure ##################### ## feature发布应用 deploy_feature:   variables:     DEPLOY_FILE: 'deployment.yaml'     ENV_NAME: 'feature'   stage: deploy-feature   image: ${KUBECTL_IMAGE}   extends: .deploy_k8s   environment:     on_s: "rollout_feature"   rules:     - if: $RUN_DEPLOY_K8S == 'no'       hen: never     - if: $CI_COMMIT_REF_NAME =~ /^RELEASE-/ || $CI_COMMIT_REF_NAME =~ /master/ || $CI_COMMIT_TAG       hen: never     - hen: manual      ## 应用回滚 rollout_feature:   variables:     DEPLOY_FILE: 'deployment.yaml'     ENV_NAME: 'feature'   stage: rollout-feature   image: ${KUBECTL_IMAGE}   extends: .rollout_k8s   needs:     - deploy_feature   rules:     - if: $RUN_DEPLOY_K8S == 'no'       hen: never     - if: $CI_COMMIT_REF_NAME =~ /^RELEASE-/ || $CI_COMMIT_REF_NAME =~ /master/ || $CI_COMMIT_TAG       hen: never     - hen: on_failure   #################Deploy UAT Jobs Configure ##################### ## UAT deploy_uat:   variables:     DEPLOY_FILE: 'config/deployment-uat.yaml'     ENV_NAME: 'uat'   stage: deploy-uat   image: ${KUBECTL_IMAGE}   extends: .deploy_k8s   environment:     on_s: "rollout_uat"   rules:     - if: $RUN_DEPLOY_K8S == 'no'       hen: never     - if: $CI_COMMIT_REF_NAME =~ /^RELEASE-/ || $CI_COMMIT_REF_NAME =~ /master/ || $CI_COMMIT_TAG       hen: manual     - hen: never  ## UAT应用回滚 rollout_uat:   variables:     DEPLOY_FILE: 'config/deployment-uat.yaml'     ENV_NAME: 'uat'   stage: rollout-uat   image: ${KUBECTL_IMAGE}   extends: .rollout_k8s   needs:     - deploy_uat   rules:     - if: $RUN_DEPLOY_K8S == 'no'       hen: never     - if: $CI_COMMIT_REF_NAME =~ /^RELEASE-/ || $CI_COMMIT_REF_NAME =~ /master/ || $CI_COMMIT_TAG       hen: on_failure     - hen: never  #################Deploy STAG Jobs Configure ##################### ## STAG deploy_stag:   variables:     DEPLOY_FILE: 'config/deployment-stag.yaml'     ENV_NAME: 'stag'   stage: deploy-stag   image: ${KUBECTL_IMAGE}   extends: .deploy_k8s   environment:     on_s: "rollout_stag"   needs:     - deploy_uat   rules:     - if: $RUN_DEPLOY_K8S == 'no'       hen: never     - if: $CI_COMMIT_REF_NAME =~ /^RELEASE-/ || $CI_COMMIT_REF_NAME =~ /master/ || $CI_COMMIT_TAG       hen: manual     - hen: never  ## STAG应用回滚 rollout_stag:   variables:     DEPLOY_FILE: 'config/deployment-stag.yaml'     ENV_NAME: 'stag'   stage: rollout-stag   image: ${KUBECTL_IMAGE}   extends: .rollout_k8s   needs:     - deploy_stag   rules:     - if: $RUN_DEPLOY_K8S == 'no'       hen: never     - if: $CI_COMMIT_REF_NAME =~ /^RELEASE-/ || $CI_COMMIT_REF_NAME =~ /master/ || $CI_COMMIT_TAG       hen: on_failure     - hen: never  #################Deploy PROD Jobs Configure ##################### ## PROD deploy_prod:   variables:     DEPLOY_FILE: 'config/deployment-prod.yaml'     ENV_NAME: 'prod'   stage: deploy-prod   image: ${KUBECTL_IMAGE}   extends: .deploy_k8s   environment:     on_s: "rollout_prod"   needs:     - deploy_stag   rules:     - if: $RUN_DEPLOY_K8S == 'no'       hen: never     - if: $CI_COMMIT_REF_NAME =~ /^RELEASE-/ || $CI_COMMIT_REF_NAME =~ /master/ || $CI_COMMIT_TAG       hen: manual     - hen: never  ## PROD应用回滚 rollout_prod:   variables:     DEPLOY_FILE: 'config/deployment-prod.yaml'     ENV_NAME: 'prod'   stage: rollout-prod   image: ${KUBECTL_IMAGE}   extends: .rollout_k8s   needs:     - deploy_prod   rules:     - if: $RUN_DEPLOY_K8S == 'no'       hen: never     - if: $CI_COMMIT_REF_NAME =~ /^RELEASE-/ || $CI_COMMIT_REF_NAME =~ /master/ || $CI_COMMIT_TAG       hen: on_failure     - hen: never  JAVA项目交付流水线

导入作业模板

include:   - project: 'cidevops/cidevops-neci-service'     ref: master     file: 'templates/default-pipeline.yml' 

配置项目参数

variables:   ## 全局配置   GIT_CLONE_PATH: ${CI_BUILDS_DIR}/builds/${CI_PROJECT_NAMESPACE}/${CI_PROJECT_NAME}/${CI_PIPELINE_ID}       GIT_CHECKOUT: "false"   CACHE_DIR: "target/"    ## 作业控制   RUN_PIPELINE_BUILD:   "yes"     #是否运行构建 yes/no    RUN_PIPELINE_TEST:    "yes"      #是否运行测试 yes/no    RUN_CODE_ANALYSIS:    "yes"     #是否代码扫描 yes/no    RUN_BUILD_IMAGE:      "yes"     #是否生成镜像 yes/no   RUN_DEPLOY_ARTIFACTS: "no"      #是否上传制品 yes/no   RUN_DEPLOY_K8S:       "yes"     #是否发布K8S yes/no    ## 依赖容器镜像   BUILD_IMAGE: "maven:3.6.3-jdk-8"   CURL_IMAGE: "curlimages/curl:7.70.0"   SONAR_IMAGE: "sonarsource/sonar-scanner-cli:latest"   KUBECTL_IMAGE: "lucj/kubectl:1.17.2"         ## 构建测试参数   MAVEN_OPTS: "-Dmaven.repo.local=/home/gitlab-runner/ci-build-cache/maven "  #maven构建参数   BUILD_SHELL: 'mvn clean package  -DskipTests  --settings=./settings.xml '   #构建命令   #GRADLE_OPTS: ""               #gradle构建参数    ## 单元测试参数   TEST_SHELL : 'mvn test  --settings=./settings.xml   '       #测试命令   JUNIT_REPORT_PATH: 'target/surefire-reports/TEST-.xml'   #单元测试报告    ## 代码扫描   SONAR_SOURCE_DIR : "src"                                          #项目源码目录   SONAR_SERVER_URL: "http://192.168.1.200:30090"                    #SonarQube服务器信息   SONAR_SERVER_LOGIN: "ee2bcb37deeb6dfe3a07fe08fb529559b00c1b7b"    #Sonar Token最好在项目中定义。   SONAR_SCAN_ARGS: "-Dsonar.sources=${SONAR_SOURCE_DIR}                     -Dsonar.java.binaries=target/classes                     -Dsonar.java.test.binaries=target/test-classes                     -Dsonar.java.surefire.report=target/surefire-reports "                                     #项目扫描参数    ## 构建镜像   CI_REGISTRY: 'registry.-beijing.aliyuncs.'               #镜像仓库地址                 CI_REGISTRY_USER: 'xxxxxx'                               #仓库用户信息   #CI_REGISTRY_PASSWD: 'xxxxxxxx.'                              #仓库用户密码   IMAGE_NAME: "${CI_REGISTRY}/${CI_PROJECT_PATH}:${CI_COMMIT_REF_NAME}-${CI_COMMIT_SHORT_SHA}"     #镜像名称   DOCKER_FILE_PATH: "./Dockerfile"                              #Dockerfile位置    ## 上传制品库(artifactory)   #ARTIFACTORY_URL: "http://192.168.1.200:30082/artifactory"     #制品库地址   #ARTIFACTORY_NAME: "${CI_PROJECT_NAMESPACE}"                   #制品库名称   #ARTIFACT_PACKAGE: "jar"                                       #制品类型   #ARTIFACT_PATH: "target/.${ARTIFACT_PACKAGE}"                 #制品位置   #TARGET_FILE_PATH: "${CI_PROJECT_NAMESPACE}/${CI_PROJECT_NAME}/${CI_COMMIT_REF_NAME}-${CI_COMMIT_SHORT_SHA}"   #目标制品位置(目录结构)   #TARGET_ARTIFACT_NAME: "${CI_PROJECT_NAME}-${CI_COMMIT_REF_NAME}-${CI_COMMIT_SHORT_SHA}.${ARTIFACT_PACKAGE}"   #目标制品名称    ## 部署应用k8s   APP_NAME: "$CI_PROJECT_NAME"                #应用名称 deploymentName   CONTAINER_PORT: "8081"                      #服务端口  servicesPort   NAMESPACE: "$CI_PROJECT_NAME-$CI_PROJECT_ID-$CI_ENVIRONMENT_SLUG"             #名称空间   ENV_URL: "${ENV_NAME}.${CI_PROJECT_NAMESPACE}.${CI_PROJECT_NAME}.devops."  #IngressHosts 

指定CI文件

运行流水线测试

docker镜像仓库

部署环境演示

Kuberes集群中应用状态