Scaffold Repositories Using Cookiecutter

This example demonstrates how to quickly scaffold Azure DevOps repositories using a Cookiecutter Template via Port Actions.

In addition, as cookiecutter is an open-source project you can make your own project template, learn more about it here.

Example - scaffolding python template

Follow these steps to get started with the Python template:

Create an Azure DevOps Repository called python_scaffolder in your Azure Devops Organization/Project and configure a Service Connection.

note

Use port_trigger for both WebHook Name and Service connection name when configuring your Service Connection

Create a Port blueprint with the following JSON definition:

note

Keep in mind this can be any blueprint you would like and this is just an example.

Port Microservice Blueprint

{
  "identifier": "microservice",
  "title": "Microservice",
  "icon": "Microservice",
  "schema": {
    "properties": {
      "description": {
        "title": "Description",
        "type": "string"
      },
      "url": {
        "title": "URL",
        "format": "url",
        "type": "string"
      }
    },
    "required": []
  },
  "mirrorProperties": {},
  "calculationProperties": {},
  "relations": {}
}

Create Port action using the following JSON definition:

note

Make sure to replace the placeholder for AZURE_DEVOPS_ORANZATION_NAME to where your python_scaffolder resides in. Also validate that invocationMethod.webhook equals port_trigger.

Port Action

[
  {
    "identifier": "azure_scaffolder",
    "title": "Azure Scaffolder",
    "icon": "Azure",
    "userInputs": {
      "properties": {
        "service_name": {
          "icon": "DefaultProperty",
          "title": "Service Name",
          "type": "string",
          "description": "Name of the service to scaffold"
        },
        "azure_organization": {
          "icon": "DefaultProperty",
          "title": "Azure Organization",
          "type": "string",
          "description": "Your Azure DevOps organization name"
        },
        "azure_project": {
          "icon": "DefaultProperty",
          "title": "Azure Project",
          "type": "string",
          "description": "Your Azure DevOps project name"
        },
        "description": {
          "icon": "DefaultProperty",
          "title": "Description",
          "type": "string",
          "description": "Service description"
        }
      },
      "required": ["service_name"],
      "order": [
        "service_name",
        "azure_organization",
        "azure_project",
        "description"
      ]
    },
    "invocationMethod": {
      "type": "AZURE-DEVOPS",
      "webhook": "port_trigger",
      "org": "<AZURE_DEVOPS_ORANZATION_NAME>"
    },
    "trigger": "CREATE",
    "requiredApproval": false
  }
]

In your python_scaffolder Azure DevOps Repository, create an Azure Pipeline file under azure-pipelines.yml in the root of the repo's main branch with the following content:

Azure DevOps Pipeline Script

trigger: none

pool:
  vmImage: "ubuntu-latest"

variables:
  RUN_ID: "${{ parameters.port_trigger.context.runId }}"
  BLUEPRINT_ID: "${{ parameters.port_trigger.context.blueprint }}"
  SERVICE_NAME: "${{ parameters.port_trigger.payload.properties.service_name }}"
  DESCRIPTION: "${{ parameters.port_trigger.payload.properties.description }}"
  AZURE_ORGANIZATION: "${{ parameters.port_trigger.payload.properties.azure_organization }}"
  AZURE_PROJECT: "${{ parameters.port_trigger.payload.properties.azure_project }}"
  # PERSONAL_ACCESS_TOKEN: $(PERSONAL_ACCESS_TOKEN) // set up PERSONAL_ACCESS_TOKEN as a sercet variable

resources:
  webhooks:
    - webhook: port_trigger
      connection: port_trigger

stages:
  - stage: fetch_port_access_token
    jobs:
      - job: fetch_port_access_token
        steps:
          - script: |
              sudo apt-get update
              sudo apt-get install -y jq
          - script: |
              accessToken=$(curl -X POST \
                    -H 'Content-Type: application/json' \
                    -d '{"clientId": "$(PORT_CLIENT_ID)", "clientSecret": "$(PORT_CLIENT_SECRET)"}' \
                    -s 'https://api.getport.io/v1/auth/access_token' | jq -r '.accessToken')
              echo "##vso[task.setvariable variable=accessToken;isOutput=true]$accessToken"
            displayName: Fetch Access Token and Run ID
            name: getToken

  - stage: scaffold
    dependsOn:
      - fetch_port_access_token
    jobs:
      - job: scaffold
        variables:
          COOKIECUTTER_TEMPLATE_URL: "https://github.com/brettcannon/python-azure-web-app-cookiecutter"
        steps:
          - script: |
              sudo apt-get update
              sudo apt-get install -y jq
              sudo pip install cookiecutter -q
          - script: |
              # Create the repository
              PROJECT_ID=$(curl -X GET "https://dev.azure.com/${{ variables.AZURE_ORGANIZATION }}/_apis/projects/${{ variables.AZURE_PROJECT }}?api-version=7.0" \
              -H "Authorization: Basic $(PERSONAL_ACCESS_TOKEN)" \
              -H "Content-Type: application/json" \
              -H "Content-Length: 0" | jq .id)

              if [[ -z "$PROJECT_ID" ]]; then
                echo "Failed to fetch Azure Devops Project ID."
                exit 1
              fi

              PAYLOAD='{"name":"${{ variables.SERVICE_NAME }}","project":{"id":'$PROJECT_ID'}}'

              CREATE_REPO_RESPONSE=$(curl -X POST "https://dev.azure.com/${{ variables.AZURE_ORGANIZATION }}/_apis/git/repositories?api-version=7.0" \
              -H "Authorization: Basic $(PERSONAL_ACCESS_TOKEN)" \
              -H "Content-Type: application/json" \
              -d $PAYLOAD)

              PROJECT_URL=$(echo $CREATE_REPO_RESPONSE | jq -r .webUrl)

              if [[ -z "$PROJECT_URL" ]]; then
                echo "Failed to create Azure Devops repository."
                exit 1
              fi

              echo "##vso[task.setvariable variable=PROJECT_URL;isOutput=true]$PROJECT_URL"

              cat <<EOF > cookiecutter.yaml
              default_context:
                site_name: "${{ variables.SERVICE_NAME }}"
                python_version: "3.6.0"
              EOF
              cookiecutter $COOKIECUTTER_TEMPLATE_URL --no-input --config-file cookiecutter.yaml --output-dir scaffold_out

              echo "Initializing new repository..."
              git config --global user.email "scaffolder@email.com"
              git config --global user.name "Mighty Scaffolder"
              git config --global init.defaultBranch "main"

              cd "scaffold_out/${{ variables.SERVICE_NAME }}"
              git init
              git add .
              git commit -m "Initial commit"
              decoded_pat=$(echo $(PERSONAL_ACCESS_TOKEN) | base64 -d)
              git remote add origin https://$decoded_pat@dev.azure.com/${{ variables.AZURE_ORGANIZATION }}/${{ variables.AZURE_PROJECT }}/_git/${{ variables.SERVICE_NAME }}
              git push -u origin --all
            name: scaffold

  - stage: upsert_entity
    dependsOn:
      - fetch_port_access_token
      - scaffold
    jobs:
      - job: upsert_entity
        variables:
          accessToken: $[ stageDependencies.fetch_port_access_token.fetch_port_access_token.outputs['getToken.accessToken'] ]
          PROJECT_URL: $[ stageDependencies.scaffold.scaffold.outputs['scaffold.PROJECT_URL'] ]
        steps:
          - script: |
              sudo apt-get update
              sudo apt-get install -y jq
          - script: |
              curl -X POST \
                -H 'Content-Type: application/json' \
                -H 'Authorization: Bearer $(accessToken)' \
                -d '{
                    "identifier": "${{ variables.SERVICE_NAME }}",
                    "title": "${{ variables.SERVICE_NAME }}",
                    "properties": {"description":"${{ variables.DESCRIPTION }}","url":"$(PROJECT_URL)" },
                    "relations": {}
                  }' \
                "https://api.getport.io/v1/blueprints/${{ variables.BLUEPRINT_ID }}/entities?upsert=true&run_id=${{ variables.RUN_ID }}&create_missing_related_entities=true"

  - stage: update_run_status
    dependsOn:
      - upsert_entity
      - fetch_port_access_token
      - scaffold
    jobs:
      - job: update_run_status
        variables:
          accessToken: $[ stageDependencies.fetch_port_access_token.fetch_port_access_token.outputs['getToken.accessToken'] ]
          PROJECT_URL: $[ stageDependencies.scaffold.scaffold.outputs['scaffold.PROJECT_URL'] ]
        steps:
          - script: |
              sudo apt-get update
              sudo apt-get install -y jq
          - script: |
              curl -X PATCH \
                -H 'Content-Type: application/json' \
                -H 'Authorization: Bearer $(accessToken)' \
                -d '{"status":"SUCCESS", "message": {"run_status": "Scaffold ${{ variables.SERVICE_NAME }} finished successfully!\\n Project URL: $(PROJECT_URL)" }}' \
                "https://api.getport.io/v1/actions/runs/${{ variables.RUN_ID }}"

  - stage: update_run_status_failed
    dependsOn:
      - upsert_entity
      - fetch_port_access_token
      - scaffold
    condition: failed()
    jobs:
      - job: update_run_status_failed
        variables:
          accessToken: $[ stageDependencies.fetch_port_access_token.fetch_port_access_token.outputs['getToken.accessToken'] ]
        steps:
          - script: |
              curl -X PATCH \
                -H 'Content-Type: application/json' \
                -H 'Authorization: Bearer $(accessToken)' \
                -d '{"status":"FAILURE", "message": {"run_status": "Scaffold ${{ variables.SERVICE_NAME }} failed" }}' \
                "https://api.getport.io/v1/actions/runs/${{ variables.RUN_ID }}"

To configure the Pipeline in your project go to Pipelines -> Create Pipeline -> Azure Repos Git and choose python_scaffolder and click Save(in "Run" dropdown menu).
Create the following variables as Secret Variables:
1. PERSONAL_ACCESS_TOKEN - a base64-encoded Personal Access Token with the following scopes:
  - Code: Full.
  - Release: Read, write & execute.
  Use the following script to encode your PAT:
```
MY_PAT=YourPAT
B64_PAT=$(printf ":%s" "$MY_PAT" | base64)
echo $B64_PAT
```
2. PORT_CLIENT_ID - Port Client ID learn more.
3. PORT_CLIENT_SECRET - Port Client Secret learn more.

Trigger the action from the Self-service tab of your Port application.

Scaffold Repositories Using Cookiecutter

Example - scaffolding python template​

Example - scaffolding python template