Google Artifact Registry is a powerful solution for managing and hosting Python package artifacts in a private, secure, and scalable way. This guide provides a step-by-step walkthrough to push Python package .whl files to the Artifact Registry using Google Cloud Build and a secret (creds) from Google Secret Manager for authentication.

Prerequisites

1. Artifact Registry Setup:

   • Create a Python repository in your Artifact Registry:

    gcloud artifacts repositories create python-packages \
      --repository-format=python \
      --location=us-central1 \
      --description="Python packages repository"
   

2. Secret Setup:

   • Store your key as a secret in Google Secret Manager:

    gcloud secrets create creds --data-file=path/to/key.json
   

• Grant Cloud Build access to the secret:(Optional, can also be done using IAM)
  

   gcloud secrets add-iam-policy-binding creds \
     --member="serviceAccount:$(gcloud projects describe $PROJECT_ID --format='value(projectNumber)')@cloudbuild.gserviceaccount.com" \
     --role="roles/secretmanager.secretAccessor"
  

1. Cloud Build Permissions: Ensure your Cloud Build service account has the necessary permissions to access the Artifact Registry and Secret Manager.

Cloud Build YAML Configuration

Here's the full working cloudbuild.yaml file:

options:
  machineType: E2_HIGHCPU_8
  substitutionOption: ALLOW_LOOSE
  logging: CLOUD_LOGGING_ONLY

steps:
  # Step 1: Access the secret `creds` and save it as `key.json`
  - name: 'gcr.io/google.com/cloudsdktool/cloud-sdk'
    entrypoint: bash
    args:
      - '-c'
      - |
        gcloud secrets versions access latest --secret=creds > /workspace/key.json

  # Step 2: Configure `.pypirc` with the Artifact Registry credentials
  - name: 'python'
    entrypoint: bash
    args:
      - '-c'
      - |
        cat > ~/.pypirc << EOL
        [distutils]
        index-servers = tower-common-repo

        [tower-common-repo]
        repository: https://us-central1-python.pkg.dev/$PROJECT_ID/python-packages/
        username: _json_key_base64
        password: $(base64 -w0 /workspace/key.json)
        EOL

        # Step 3: Build and upload the Python package
        pip install twine build && \
        python -m build && \
        twine upload --repository tower-common-repo dist/* --verbose

Step-by-Step Explanation

1. Define Build Options:

   • Set the machine type, substitution behavior, and logging options.
   • These configurations ensure efficient builds and manageable logs.

2. Retrieve key.json Secret:

   • Use gcloud secrets versions access to fetch the key.json file securely from Secret Manager.
   • Save the file to a known location (/workspace/key.json).

3. Configure .pypirc:

   • Generate a .pypirc file dynamically. This file is required for twine to authenticate with the Artifact Registry.
   • The password is base64-encoded content of key.json.

4. Build and Push Package:

   • Install necessary tools (twine, build).
   • Build the Python package (python -m build).
   • Use twine upload to push the .whl file to the Artifact Registry.

Triggering the Build

Save the cloudbuild.yaml file and trigger the build or can connect to github repository:

gcloud builds submit --config=cloudbuild.yaml .

Key Points

• Secure Secrets Management: The secret (key.json) is accessed securely using Google Secret Manager.
• Dynamic Configuration: .pypirc is generated during the build, ensuring no sensitive data is stored in the repository.
• Automated Upload: The process automates package building and pushing, reducing manual intervention.

Validation

After the build completes:

1. Verify the uploaded package in the Artifact Registry:

   gcloud artifacts packages list --repository=python-packages --location=us-central1

1. Check for errors or warnings in the build logs.