Integrasi Azure DevOps

Integrasikan Capgo Live Updates dengan Azure DevOps Pipelines untuk mendeploykan update aplikasi secara otomatis setiap kali Anda push code perubahan. Panduan ini mencakup pengaturan build otomatis, pengujian, dan alur kerja pengiriman.

Prasyarat

Sebelum mengatur integrasi Azure DevOps, pastikan Anda memiliki:

• Organisasi dan proyek Azure DevOps
• Akun Capgo dengan aplikasi yang dikonfigurasi
• Sumber code aplikasi Anda di repositori Git Azure Repos
• Node.js dan npm/yarn yang dikonfigurasi di proyek Anda

Mengatur Pipa Azure DevOps

Langkah 1: Buat Variabel Pipa

Pertama-tama, buatlah variabel-variabel yang diperlukan di proyek Azure DevOps Anda:

1. Navigasikan ke proyek Azure DevOps Anda
2. Pergi ke Aliran → Perpustakaan → Kelompok variabel
3. Buat kelompok variabel baru bernama Capgo-Variables
4. Tambahkan variabel-variabel berikut:

Nama Variabel	Nilai	Rahasia
CAPGO_TOKEN	Token Anda Capgo API	✅ Ya

Tips

Dapatkan token Anda Capgo API dari console.capgo.app/apikeysFile Anda sudah terkonfigurasi dengan ID aplikasi. capacitor.config.ts Sederhana

Konfigurasi dasar yang mengirimkan ke produksi setiap kali push ke cabang utama:

Konfigurasi dasar yang mengirimkan ke produksi setiap kali push ke cabang utama:

# Simple Azure DevOps Pipeline for Capgo Live Updates
trigger:
  branches:
    include:
      - main

variables:
  - group: Capgo-Variables

jobs:
  - job: BuildAndDeploy
    displayName: 'Build and Deploy to Capgo'
    pool:
      vmImage: 'ubuntu-latest'

    steps:
      - task: NodeTool@0
        displayName: 'Setup Node.js'
        inputs:
          versionSpec: '22.x'

      - script: |
          npm ci
          npm run test
          npm run build
        displayName: 'Install, test and build'

      - script: |
          npm install -g @capgo/cli
          npx @capgo/cli bundle upload --apikey $(CAPGO_TOKEN) --channel production
        displayName: 'Deploy to Capgo'

Fitur Lanjut

Deployan Cabang Fitur

Deploy cabang fitur ke saluran uji untuk tinjauan dan pengujian:

# Feature branch deployment
trigger:
  branches:
    include:
      - feature/*

variables:
  - group: Capgo-Variables

jobs:
  - job: DeployFeature
    displayName: 'Deploy Feature Branch'
    pool:
      vmImage: 'ubuntu-latest'
    condition: startsWith(variables['Build.SourceBranch'], 'refs/heads/feature/')

    steps:
      - task: NodeTool@0
        inputs:
          versionSpec: '22.x'

      - script: |
          npm ci
          npm run test
          npm run build
        displayName: 'Install, test and build'

      - script: |
          BRANCH_NAME=$(echo "$(Build.SourceBranchName)" | sed 's/[^a-zA-Z0-9-]/-/g')
          CHANNEL_NAME="feature-$BRANCH_NAME"
          npm install -g @capgo/cli
          npx @capgo/cli channel create $CHANNEL_NAME --apikey $(CAPGO_TOKEN) || true
          npx @capgo/cli bundle upload --apikey $(CAPGO_TOKEN) --channel $CHANNEL_NAME
        displayName: 'Deploy to Feature Channel'

Trik

Pengujian dengan Saluran: Setelah mengdeploy ke saluran fitur, Anda dapat menguji pembaruan di aplikasi Anda dengan mengkonfigurasi aplikasi untuk menggunakan saluran tersebut secara spesifik. Pelajari lebih lanjut tentang mengkonfigurasi saluran di aplikasi Anda.

Menggunakan Enkripsi

Jika Anda menggunakan Capgo fitur enkripsi, Anda perlu menyimpan kunci pribadi Anda dengan aman di lingkungan CI/CD Anda.

Setelah mengatur kunci enkripsi lokal, tambahkan kunci pribadi Anda ke variabel Azure DevOps:

# Display your private key content (copy this output)
cat .capgo_key_v2

Tambahkan konten ini sebagai CAPGO_PRIVATE_KEY di grup variabel Azure DevOps Anda (tandai sebagai rahasia), lalu gunakan di pipeline:

# Deploy with encryption
- script: |
    npm install -g @capgo/cli
    npx @capgo/cli bundle upload --apikey $(CAPGO_TOKEN) --key-data-v2 "$(CAPGO_PRIVATE_KEY)" --channel production
  displayName: 'Deploy to Capgo with Encryption'

Peringatan

Praktik Terbaik Keamanan:

• Jangan pernah mengkomit .capgo_key_v2 file ke pengendalian versi
• Simpan kunci pribadi hanya di manajemen rahasia CI/CD
• Gunakan kunci yang berbeda untuk lingkungan yang berbeda

Konfigurasi Multi-Kanal

Untuk informasi yang lebih komprehensif tentang mengatur dan mengelola beberapa saluran pengiriman, lihat dokumentasi Dokumentasi Saluran.

Konfigurasi lengkap dengan beberapa lingkungan dan pengiriman permintaan pull:

# Advanced Azure DevOps Pipeline with Multiple Channels
trigger:
  branches:
    include:
      - main
      - develop

pr:
  branches:
    include:
      - main
      - develop

variables:
  - group: Capgo-Variables

stages:
  # Build stage
  - stage: Build
    jobs:
      - job: BuildApp
        pool:
          vmImage: 'ubuntu-latest'
        steps:
          - task: NodeTool@0
            inputs:
              versionSpec: '22.x'

          - script: |
              npm ci
              npm run test
              npm run build
            displayName: 'Install, test and build'

          - task: PublishBuildArtifacts@1
            inputs:
              pathToPublish: 'dist'
              artifactName: 'app-build'

  # Deploy to development
  - stage: DeployDev
    condition: and(succeeded(), eq(variables['Build.SourceBranch'], 'refs/heads/develop'))
    jobs:
      - deployment: DeployDevelopment
        environment: development
        pool:
          vmImage: 'ubuntu-latest'
        strategy:
          runOnce:
            deploy:
              steps:
                - task: NodeTool@0
                  inputs:
                    versionSpec: '22.x'

                - task: DownloadBuildArtifacts@0
                  inputs:
                    artifactName: 'app-build'
                    downloadPath: '$(Pipeline.Workspace)'

                - script: |
                    npm install -g @capgo/cli
                    npx @capgo/cli bundle upload --apikey $(CAPGO_TOKEN) --channel development --path $(Pipeline.Workspace)/app-build
                  displayName: 'Deploy to Development'

  # Deploy PR to test channel
  - stage: DeployPR
    condition: and(succeeded(), eq(variables['Build.Reason'], 'PullRequest'))
    jobs:
      - job: DeployPRChannel
        pool:
          vmImage: 'ubuntu-latest'
        steps:
          - task: NodeTool@0
            inputs:
              versionSpec: '22.x'

          - task: DownloadBuildArtifacts@0
            inputs:
              artifactName: 'app-build'
              downloadPath: '$(Pipeline.Workspace)'

          - script: |
              CHANNEL_NAME="pr-$(System.PullRequest.PullRequestNumber)"
              npm install -g @capgo/cli
              npx @capgo/cli channel create $CHANNEL_NAME --apikey $(CAPGO_TOKEN) || true
              npx @capgo/cli bundle upload --apikey $(CAPGO_TOKEN) --channel $CHANNEL_NAME --path $(Pipeline.Workspace)/app-build
            displayName: 'Deploy to PR Channel'

  # Deploy to production
  - stage: DeployProd
    condition: and(succeeded(), eq(variables['Build.SourceBranch'], 'refs/heads/main'))
    jobs:
      - deployment: DeployProduction
        environment: production
        pool:
          vmImage: 'ubuntu-latest'
        strategy:
          runOnce:
            deploy:
              steps:
                - task: NodeTool@0
                  inputs:
                    versionSpec: '22.x'

                - task: DownloadBuildArtifacts@0
                  inputs:
                    artifactName: 'app-build'
                    downloadPath: '$(Pipeline.Workspace)'

                - script: |
                    npm install -g @capgo/cli
                    npx @capgo/cli bundle upload --apikey $(CAPGO_TOKEN) --channel production --path $(Pipeline.Workspace)/app-build
                  displayName: 'Deploy to Production'

Pengembangan Multi Lingkungan

Untuk skenario kompleks dengan lingkungan yang berbeda-beda:

# Extended pipeline with multiple environments
parameters:
  - name: deployEnvironment
    displayName: 'Deploy Environment'
    type: string
    default: 'staging'
    values:
      - staging
      - production

variables:
  - group: Capgo-Variables
  - name: channelName
    ${{ if eq(parameters.deployEnvironment, 'production') }}:
      value: 'production'
    ${{ else }}:
      value: 'staging'

stages:
  # Build stage
  - stage: Build
    jobs:
      - job: BuildApp
        pool:
          vmImage: 'ubuntu-latest'
        steps:
          - task: NodeTool@0
            inputs:
              versionSpec: '22.x'

          - script: |
              npm ci
              npm run test
              npm run build
            displayName: 'Install, test and build'

          - task: PublishBuildArtifacts@1
            inputs:
              pathToPublish: 'dist'
              artifactName: 'app-build'

  - stage: DeployStaging
    displayName: 'Deploy to Staging'
    dependsOn: Build
    condition: and(succeeded(), eq('${{ parameters.deployEnvironment }}', 'staging'))
    jobs:
      - deployment: DeployStaging
        displayName: 'Deploy to Staging Channel'
        pool:
          vmImage: 'ubuntu-latest'
        environment: 'staging'
        strategy:
          runOnce:
            deploy:
              steps:
                - template: deploy-steps.yml
                  parameters:
                    channel: 'staging'

  - stage: DeployProduction
    displayName: 'Deploy to Production'
    dependsOn: Build
    condition: and(succeeded(), eq('${{ parameters.deployEnvironment }}', 'production'))
    jobs:
      - deployment: DeployProduction
        displayName: 'Deploy to Production Channel'
        pool:
          vmImage: 'ubuntu-latest'
        environment: 'production'
        strategy:
          runOnce:
            deploy:
              steps:
                - template: deploy-steps.yml
                  parameters:
                    channel: 'production'

Template Pengembangan (deploy-steps.yml)

Buat file template yang dapat digunakan kembali deploy-steps.yml:

deploy-steps.yml

parameters:
  - name: channel
    type: string

steps:
  - task: NodeTool@0
    displayName: 'Install Node.js'
    inputs:
      versionSpec: '22.x'

  - task: DownloadBuildArtifacts@0
    displayName: 'Download build artifacts'
    inputs:
      artifactName: 'app-build'
      downloadPath: '$(System.ArtifactsDirectory)'

  - script: |
      npm install -g @capgo/cli
    displayName: 'Install Capgo CLI'

  - script: |
      npx @capgo/cli bundle upload \
        --apikey $(CAPGO_TOKEN) \
        --channel ${{ parameters.channel }} \
        --path $(System.ArtifactsDirectory)/app-build
    displayName: 'Upload to Capgo (${{ parameters.channel }})'

Strategi Pengembangan Berdasarkan Cabang

Konfigurasi strategi pengiriman yang berbeda berdasarkan cabang Git:

trigger:
  branches:
    include:
      - main
      - develop
      - feature/*

variables:
  - group: Capgo-Variables
  - name: targetChannel
    ${{ if eq(variables['Build.SourceBranch'], 'refs/heads/main') }}:
      value: 'production'
    ${{ elseif eq(variables['Build.SourceBranch'], 'refs/heads/develop') }}:
      value: 'staging'
    ${{ else }}:
      value: 'development'

stages:
  - stage: Build
    jobs:
      - job: BuildApp
        pool:
          vmImage: 'ubuntu-latest'
        steps:
          - task: NodeTool@0
            inputs:
              versionSpec: '22.x'

          - script: |
              npm ci
              npm run test
              npm run build
            displayName: 'Install, test and build'

          - task: PublishBuildArtifacts@1
            inputs:
              pathToPublish: 'dist'
              artifactName: 'app-build'

  - stage: Deploy
    displayName: 'Deploy to $(targetChannel)'
    dependsOn: Build
    condition: succeeded()
    jobs:
      - deployment: DeployJob
        displayName: 'Deploy to $(targetChannel) Channel'
        pool:
          vmImage: 'ubuntu-latest'
        environment: '$(targetChannel)'
        strategy:
          runOnce:
            deploy:
              steps:
                - template: deploy-steps.yml
                  parameters:
                    channel: '$(targetChannel)'

Praktik Keamanan Terbaik

Pengelolaan Variabel yang Aman

1. Gunakan Kelompok VariabelSimpan data sensitif di kelompok variabel Azure DevOps
2. Tandai sebagai RahasiaSelalu tandai token dan kunci API sebagai variabel rahasia
3. Lingkup AksesBatasi akses kelompok variabel ke pipeline dan pengguna tertentu
4. Putuskan Kunci: Rutinlah memutuskan kunci Capgo API Anda

Pengawasan dan Pemberitahuan

Integrasi Tim

Tambahkan pemberitahuan Microsoft Teams ke pipa Anda:

- task: ms-teams-deploy-card@1.4.1
  displayName: 'Notify Teams on Success'
  condition: succeeded()
  inputs:
    webhookUri: '$(TEAMS_WEBHOOK_URL)'
    title: 'Capgo Deployment Successful'
    text: 'App deployed to $(targetChannel) channel'
    themeColor: '00FF00'

- task: ms-teams-deploy-card@1.4.1
  displayName: 'Notify Teams on Failure'
  condition: failed()
  inputs:
    webhookUri: '$(TEAMS_WEBHOOK_URL)'
    title: 'Capgo Deployment Failed'
    text: 'Deployment to $(targetChannel) failed'
    themeColor: 'FF0000'

Pemberitahuan Email

Konfigurasi pemberitahuan email untuk status pengembangan:

- task: EmailReport@1
  displayName: 'Send Email Report'
  condition: always()
  inputs:
    sendMailConditionConfig: 'Always'
    subject: 'Capgo Deployment Report - $(Build.BuildNumber)'
    to: 'team@yourcompany.com'
    body: |
      Deployment Status: $(Agent.JobStatus)
      Channel: $(targetChannel)
      Build: $(Build.BuildNumber)
      Commit: $(Build.SourceVersion)

Troubleshooting

Masalah Umum

Pipeliner gagal dengan “Capgo CLI tidak ditemukan”:

# Ensure global installation
- script: |
    npm install -g @capgo/cli
    which capgo || echo "Capgo CLI not found in PATH"
  displayName: 'Install and verify Capgo CLI'

Kesalahan Autentikasi:

# Verify token is correctly set
- script: |
    echo "Token length: ${#CAPGO_TOKEN}"
    if [ -z "$CAPGO_TOKEN" ]; then
      echo "CAPGO_TOKEN is not set"
      exit 1
    fi
  displayName: 'Verify Capgo token'
  env:
    CAPGO_TOKEN: $(CAPGO_TOKEN)

Tidak Ditemukan Arsitektur Pembangunan:

# List available artifacts for debugging
- script: |
    ls -la $(System.ArtifactsDirectory)
    find $(System.ArtifactsDirectory) -name "*.js" -o -name "*.html"
  displayName: 'Debug artifacts'

Pipeliner Debug

Tambahkan langkah debugging untuk menyelesaikan masalah:

- script: |
    echo "Build.SourceBranch: $(Build.SourceBranch)"
    echo "Build.BuildNumber: $(Build.BuildNumber)"
    echo "Target Channel: $(targetChannel)"
  displayName: 'Debug Pipeline Variables'

- script: |
    npx @capgo/cli app debug --apikey $(CAPGO_TOKEN)
  displayName: 'Debug Capgo App Status'

Langkah-Langkah Selanjutnya

• Pelajari tentang Saluran untuk mengelola berbagai lingkungan pengembangan
• Eksplorasi Penyimpanan Kustom untuk skenario pengembangan yang lebih maju
• Tetapkan Enkripsi untuk penggunaan deploy yang aman
• Konfigurasi Perbarui perilaku untuk mengatur bagaimana perbarui diterapkan

Dengan integrasi Azure DevOps, Anda dapat otomatisasi Capgo Anda dan memastikan perbarui yang konsisten, dapat diandalkan untuk pengguna aplikasi mobile Anda.

Lanjutkan dari Integrasi Azure DevOps

Jika Anda menggunakan Integrasi Azure DevOps untuk merencanakan otomatisasi CI/CD, hubungkannya dengan Capgo CI/CD untuk alur kerja produk di Capgo CI/CD, Capgo Pembangunan Asli untuk alur kerja produk di Capgo Pembangunan Asli, Capgo Integrasi untuk alur kerja produk di Capgo Integrasi, Integrasi CI/CD untuk detail implementasi di Integrasi CI/CD, dan GitHub Integrasi Aksi untuk detail implementasi di GitHub Integrasi Aksi.