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    GitLab CI/CD

    Šī pamācība izskaidro, kā integrēt LoadFocus JMeter API klientu ar GitLab CI/CD automatizētai veiktspējas testēšanai.

    Iestatīšanas soļi

    1. Saglabājiet akreditācijas datus kā GitLab CI/CD mainīgos

    Vispirms saglabājiet savus LoadFocus API akreditācijas datus kā GitLab CI/CD mainīgos:

    1. Dodieties uz savu GitLab projektu
    2. Pārejiet uz Settings > CI/CD > Variables
    3. Pievienojiet šādus mainīgos:
      • LOADFOCUS_API_KEY: Jūsu LoadFocus API atslēga (atzīmējiet kā "Masked")
      • LOADFOCUS_TEAM_ID: Jūsu LoadFocus komandas ID

    2. Izveidojiet GitLab CI/CD cauruļvadu

    Izveidojiet vai atjauniniet savu .gitlab-ci.yml failu savā repozitorijā:

    stages:
      - build
      - test
      - performance
      - deploy
    

    variables:
      NODE_VERSION: "16"
    

    build:
      stage: build
      image: node:${NODE_VERSION}
      script:
        - npm install
        - npm run build
      artifacts:
        paths:
          - dist/
        expire_in: 1 week
    

    test:
      stage: test
      image: node:${NODE_VERSION}
      script:
        - npm install
        - npm test
    

    performance_test:
      stage: performance
      image: node:${NODE_VERSION}
      script:
        # Install LoadFocus JMeter API Client
        - npm install -g @loadfocus/loadfocus-api-client
    

        # Configure LoadFocus API Client
        - loadfocus-api config set apikey $LOADFOCUS_API_KEY
        - loadfocus-api config set teamid $LOADFOCUS_TEAM_ID
    

        # Run Performance Tests
        - |
          loadfocus-api jmeter run-test \
            --name "GitLab_${CI_PROJECT_NAME}_${CI_COMMIT_REF_NAME}" \
            --thresholds "avgresponse<=200,errors==0,p95<=250" \
            --format json > performance_results.json
      artifacts:
        paths:
          - performance_results.json
        expire_in: 1 week
        when: always
      # Optional: Only run on specific branches
      only:
        - main
        - develop
    

    deploy:
      stage: deploy
      script:
        - echo "Deploying application..."
      only:
        - main
      # Only deploy if all previous stages succeeded
      when: on_success

    3. Skatiet testu rezultātus

    Pēc cauruļvada izpildes:

    1. Dodieties uz savu GitLab projektu
    2. Pārejiet uz CI/CD > Pipelines
    3. Atrodiet savu cauruļvadu un noklikšķiniet uz tā
    4. Dodieties uz "performance_test" darbu
    5. Noklikšķiniet uz "Browse" labajā sānjoslā, lai skatītu artefaktus
    6. Lejupielādējiet un skatiet performance_results.json failu

    Papildu konfigurācija

    Videi specifiskā testēšana

    Izpildiet dažādus veiktspējas testus dažādām vidēm:

    .performance_test_template: &performance_test_definition
      stage: performance
      image: node:${NODE_VERSION}
      script:
        - npm install -g @loadfocus/loadfocus-api-client
        - loadfocus-api config set apikey $LOADFOCUS_API_KEY
        - loadfocus-api config set teamid $LOADFOCUS_TEAM_ID
        - |
          loadfocus-api jmeter run-test \
            --name "${TEST_NAME}" \
            --thresholds "${THRESHOLDS}" \
            --format json > performance_results.json
      artifacts:
        paths:
          - performance_results.json
        expire_in: 1 week
        when: always
    

    performance_test_develop:
      <<: *performance_test_definition
      variables:
        TEST_NAME: "API_Test_Develop"
        THRESHOLDS: "avgresponse<=300,errors==0,p95<=500"
      only:
        - develop
    

    performance_test_staging:
      <<: *performance_test_definition
      variables:
        TEST_NAME: "API_Test_Staging"
        THRESHOLDS: "avgresponse<=250,errors==0,p95<=350"
      only:
        - staging
    

    performance_test_production:
      <<: *performance_test_definition
      variables:
        TEST_NAME: "API_Test_Production"
        THRESHOLDS: "avgresponse<=200,errors==0,p95<=250"
      only:
        - main

    Paralēlā testēšana

    Izpildiet vairākus veiktspējas testus paralēli:

    performance_test_api:
      stage: performance
      image: node:${NODE_VERSION}
      script:
        - npm install -g @loadfocus/loadfocus-api-client
        - loadfocus-api config set apikey $LOADFOCUS_API_KEY
        - loadfocus-api config set teamid $LOADFOCUS_TEAM_ID
        - |
          loadfocus-api jmeter run-test \
            --name "API_Performance_Test" \
            --thresholds "avgresponse<=150,errors==0" \
            --format json > api_performance_results.json
      artifacts:
        paths:
          - api_performance_results.json
        expire_in: 1 week
    

    performance_test_ui:
      stage: performance
      image: node:${NODE_VERSION}
      script:
        - npm install -g @loadfocus/loadfocus-api-client
        - loadfocus-api config set apikey $LOADFOCUS_API_KEY
        - loadfocus-api config set teamid $LOADFOCUS_TEAM_ID
        - |
          loadfocus-api jmeter run-test \
            --name "UI_Performance_Test" \
            --thresholds "avgresponse<=300,errors==0" \
            --format json > ui_performance_results.json
      artifacts:
        paths:
          - ui_performance_results.json
        expire_in: 1 week

    Pēc tam izveidojiet cauruļvada grafiku GitLab:

    1. Dodieties uz savu GitLab projektu
    2. Pārejiet uz CI/CD > Schedules
    3. Noklikšķiniet "New schedule"
    4. Iestatiet grafiku (piemēram, katru dienu pusnaktī)

    Veiktspējas atskaišu izveidošana

    Ģenerējiet HTML atskaites no JSON rezultātiem:

    performance_test:
      stage: performance
      image: node:${NODE_VERSION}
      script:
        # Run performance test
        - npm install -g @loadfocus/loadfocus-api-client
        - loadfocus-api config set apikey $LOADFOCUS_API_KEY
        - loadfocus-api config set teamid $LOADFOCUS_TEAM_ID
        - |
          loadfocus-api jmeter run-test \
            --name "GitLab_${CI_PROJECT_NAME}_${CI_COMMIT_REF_NAME}" \
            --thresholds "avgresponse<=200,errors==0,p95<=250" \
            --format json > performance_results.json
    

        # Generate HTML report
        - npm install -g performance-report-generator  # Replace with actual report generator
        - performance-report-generator --input performance_results.json --output performance_report.html
      artifacts:
        paths:
          - performance_results.json
          - performance_report.html
        expire_in: 1 week
        when: always
      # Optional: Publish report as GitLab Pages
      pages:
        stage: deploy
        dependencies:
          - performance_test
        script:
          - mkdir -p public/performance-reports
          - cp performance_report.html public/performance-reports/index.html
        artifacts:
          paths:
            - public
        only:
          - main

    Integrācija ar GitLab funkcijām

    Sapludināšanas pieprasījumu logrīki

    Parādiet veiktspējas testu rezultātus sapludināšanas pieprasījumos, izmantojot GitLab JUnit atskaišu funkciju:

    performance_test:
      stage: performance
      image: node:${NODE_VERSION}
      script:
        # Run performance test
        - npm install -g @loadfocus/loadfocus-api-client
        - loadfocus-api config set apikey $LOADFOCUS_API_KEY
        - loadfocus-api config set teamid $LOADFOCUS_TEAM_ID
        - |
          loadfocus-api jmeter run-test \
            --name "GitLab_${CI_PROJECT_NAME}_${CI_COMMIT_REF_NAME}" \
            --thresholds "avgresponse<=200,errors==0,p95<=250" \
            --format json > performance_results.json
    

        # Convert to JUnit format (using a custom script)
        - node convert-to-junit.js performance_results.json junit-report.xml
      artifacts:
        reports:
          junit: junit-report.xml
        paths:
          - performance_results.json
        expire_in: 1 week

    GitLab metrikas

    Izmantojiet GitLab metriku funkciju, lai izsekotu veiktspēju laika gaitā:

    performance_test:
      stage: performance
      image: node:${NODE_VERSION}
      script:
        # Run performance test
        - npm install -g @loadfocus/loadfocus-api-client
        - loadfocus-api config set apikey $LOADFOCUS_API_KEY
        - loadfocus-api config set teamid $LOADFOCUS_TEAM_ID
        - |
          loadfocus-api jmeter run-test \
            --name "GitLab_${CI_PROJECT_NAME}_${CI_COMMIT_REF_NAME}" \
            --thresholds "avgresponse<=200,errors==0,p95<=250" \
            --format json > performance_results.json
    

        # Extract metrics and report them to GitLab
        - |
          # Parse JSON and extract metrics
          RESPONSE_TIME=$(jq '.labels[0].metrics.avgresponse' performance_results.json)
          ERROR_RATE=$(jq '.labels[0].metrics.errors' performance_results.json)
    

          # Report metrics
          echo "performance_avg_response_time ${RESPONSE_TIME}" >> metrics.txt
          echo "performance_error_rate ${ERROR_RATE}" >> metrics.txt
      artifacts:
        reports:
          metrics: metrics.txt
        paths:
          - performance_results.json
        expire_in: 1 week

    GitLab vides

    Saistiet veiktspējas testus ar konkrētām vidēm:

    performance_test_staging:
      stage: performance
      image: node:${NODE_VERSION}
      environment:
        name: staging
      script:
        - npm install -g @loadfocus/loadfocus-api-client
        - loadfocus-api config set apikey $LOADFOCUS_API_KEY
        - loadfocus-api config set teamid $LOADFOCUS_TEAM_ID
        - |
          loadfocus-api jmeter run-test \
            --name "Staging_Performance_Test" \
            --thresholds "avgresponse<=250,errors==0" \
            --format json > performance_results.json
      artifacts:
        paths:
          - performance_results.json
        expire_in: 1 week
      only:
        - staging

    Padomi GitLab CI/CD integrācijai

    1. Kešošana: Kešojiet npm atkarības, lai paātrinātu cauruļvada izpildi:

      performance_test:
        stage: performance
        image: node:${NODE_VERSION}
        cache:
          key: ${CI_COMMIT_REF_SLUG}
          paths:
            - node_modules/
        script:
          - npm install -g @loadfocus/loadfocus-api-client
          # Rest of the script...

    2. Taimauta iestatījumi: Iestatiet taimautus ilgstošiem veiktspējas testiem:

      performance_test:
        stage: performance
        image: node:${NODE_VERSION}
        timeout: 2h  # Set a 2-hour timeout
        script:
          # Performance test script...

    3. Manuālie trigeri: Ļaujiet veiktspējas testus aktivizēt manuāli:

      performance_test:
        stage: performance
        image: node:${NODE_VERSION}
        script:
          # Performance test script...
        when: manual

    4. Dinamiskā testu konfigurācija: Izmantojiet GitLab iepriekš definētos mainīgos, lai dinamiski konfigurētu testus:

      performance_test:
        stage: performance
        image: node:${NODE_VERSION}
        script:
          - |
            # Set thresholds based on branch
            if [ "$CI_COMMIT_REF_NAME" = "main" ]; then
              THRESHOLDS="avgresponse<=200,errors==0,p95<=250"
            else
              THRESHOLDS="avgresponse<=300,errors==0,p95<=500"
            fi
      

            loadfocus-api jmeter run-test \
              --name "GitLab_${CI_PROJECT_NAME}_${CI_COMMIT_REF_NAME}" \
              --thresholds "$THRESHOLDS" \
              --format json > performance_results.json

    5. Paziņojumi: Nosūtiet paziņojumus, kad veiktspējas testi neizdodas:

      performance_test:
        stage: performance
        image: node:${NODE_VERSION}
        script:
          # Performance test script...
        after_script:
          - |
            if [ $? -ne 0 ]; then
              # Send notification using curl, GitLab API, or other method
              curl -X POST -H "Content-Type: application/json" \
                -d "{\"text\":\"Performance test failed for ${CI_PROJECT_NAME}\"}" \
                $WEBHOOK_URL
            fi

    Papildu informācijai skatiet GitLab CI/CD dokumentāciju un LoadFocus API klienta dokumentāciju.

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