Azure Pipelines Debugging

is-working-azure-pipelines.yaml

# Python Function App to Linux on Azure
# Build a Python function app and deploy it to Azure as a Linux function app.
# Add steps that analyze code, save build artifacts, deploy, and more:
# https://docs.microsoft.com/azure/devops/pipelines/languages/python

trigger:
- trunk

variables:
  # Azure Resource Manager connection created during pipeline creation
  azureSubscription: 'our-subscription'

  # Function app name
  functionAppName: 'our-function-app'

  # Agent VM image name
  vmImageName: 'ubuntu-latest'

  # Working Directory
  workingDirectory: '$(System.DefaultWorkingDirectory)/__app__'

stages:
- stage: Build
  displayName: Build stage

  jobs:
  - job: Build
    displayName: Build VM
    pool:
      vmImage: $(vmImageName)

    steps:
    - bash: |
        if [ -f extensions.csproj ]
        then
            dotnet build extensions.csproj --runtime ubuntu.16.04-x64 --output ./bin
        fi
      workingDirectory: $(workingDirectory)
      displayName: 'Build extensions'
    
    - task: UsePythonVersion@0
      displayName: 'Use Python 3.7'
      inputs:
        versionSpec: 3.7

    # Run Python linter / tests from root of project
    - bash: |
        python -m venv .venv
        source .venv/bin/activate
        pip install -r requirements-dev.txt
        flake8 .
        pytest tests --doctest-modules --junitxml=tests/test-results.xml --cov=com --cov-report=xml --cov-report=html
        deactivate
      displayName: 'Lint and test'
      
    # Publish test results from previous step to a place that Pipelines can see it
    - task: PublishTestResults@2
      displayName: 'Publish test results'
      condition: succeededOrFailed()
      inputs:
        testResultsFiles: '**/test-*.xml'
        testRunTitle: 'Publish test results'

    # Install application dependencies from function app directory so they get deployed
    - bash: |
        python -m venv worker_env
        source worker_env/bin/activate
        pip install -r requirements.txt
      workingDirectory: $(workingDirectory)
      displayName: 'Install application dependencies'
     
    # Install function tools to deploy since the zip deployment approach isn't working
    - bash: |
        curl https://packages.microsoft.com/keys/microsoft.asc | gpg --dearmor > microsoft.gpg
        sudo mv microsoft.gpg /etc/apt/trusted.gpg.d/microsoft.gpg
        sudo sh -c 'echo "deb [arch=amd64] https://packages.microsoft.com/repos/microsoft-ubuntu-$(lsb_release -cs)-prod $(lsb_release -cs) main" > /etc/apt/sources.list.d/dotnetdev.list'
        sudo apt-get update  
        sudo apt-get install azure-functions-core-tools
      displayName: 'Install functions core tools'
      condition: and(succeeded(), eq(variables['Build.SourceBranch'], 'refs/heads/trunk'))
    
    # Use those function tools to deploy
    - task: AzureCLI@2
      displayName: 'Deploy via core tools'
      condition: and(succeeded(), eq(variables['Build.SourceBranch'], 'refs/heads/trunk'))
      inputs:
        azureSubscription: '$(azureSubscription)'
        scriptType: 'bash'
        scriptLocation: 'inlineScript'
        inlineScript: 'func azure functionapp publish $(functionAppName) --build remote --python'
        workingDirectory: $(workingDirectory)

not-working-azure-pipelines.yaml

# Python Function App to Linux on Azure
# Build a Python function app and deploy it to Azure as a Linux function app.
# Add steps that analyze code, save build artifacts, deploy, and more:
# https://docs.microsoft.com/azure/devops/pipelines/languages/python

trigger:
- trunk

variables:
  # Azure Resource Manager connection created during pipeline creation
  azureSubscription: 'our-subscription'

  # Function app name
  functionAppName: 'our-function-app'

  # Agent VM image name
  vmImageName: 'ubuntu-latest'

  # Working Directory
  workingDirectory: '$(System.DefaultWorkingDirectory)/__app__'

stages:
- stage: Build
  displayName: Build stage

  jobs:
  - job: Build
    displayName: Build VM
    pool:
      vmImage: $(vmImageName)

    steps:
    - bash: |
        if [ -f extensions.csproj ]
        then
            dotnet build extensions.csproj --runtime ubuntu.16.04-x64 --output ./bin
        fi
      workingDirectory: $(workingDirectory)
      displayName: 'Build extensions'
    
    - task: UsePythonVersion@0
      displayName: 'Use Python 3.7'
      inputs:
        versionSpec: 3.7

    # Run Python linter / tests from root of project
    - bash: |
        python -m venv .venv
        source .venv/bin/activate
        pip install -r requirements-dev.txt
        flake8 .
        pytest tests --doctest-modules --junitxml=tests/test-results.xml --cov=com --cov-report=xml --cov-report=html
        deactivate
      displayName: 'Lint and test'
      
    # Publish test results from previous step to a place that Pipelines can see it
    - task: PublishTestResults@2
      displayName: 'Publish test results'
      condition: succeededOrFailed()
      inputs:
        testResultsFiles: '**/test-*.xml'
        testRunTitle: 'Publish test results'

    # Install application dependencies from function app directory so they get deployed
    - bash: |
        python -m venv worker_env
        source worker_env/bin/activate
        pip install -r requirements.txt
      workingDirectory: $(workingDirectory)
      displayName: 'Install application dependencies'
     
    - task: ArchiveFiles@2
      displayName: 'Create deployment artifact'
      inputs:
        rootFolderOrFile: '$(workingDirectory)'
        includeRootFolder: false
        archiveType: zip
        archiveFile: $(Build.ArtifactStagingDirectory)/$(Build.BuildId).zip
        replaceExistingArchive: true

    - publish: $(Build.ArtifactStagingDirectory)/$(Build.BuildId).zip
      artifact: drop

- stage: Deploy
  displayName: Deploy stage
  dependsOn: Build
  condition: and(succeeded(), eq(variables['Build.SourceBranch'], 'refs/heads/trunk'))
  
  jobs:
  - deployment: Deploy
    displayName: Deploy artifact
    environment: 'development'
    pool:
      vmImage: $(vmImageName)

    strategy:
      runOnce:
        deploy:

          steps:
          - task: AzureFunctionApp@1
            displayName: 'Azure functions app deploy'
            inputs:
              azureSubscription: '$(azureSubscription)'
              appType: functionAppLinux
              appName: $(functionAppName)
              package: '$(Pipeline.Workspace)/drop/$(Build.BuildId).zip'