GCP publish python package in production
GCP: Publish Python Package in Production
This guide explains how to use Google Artifact Registry to manage shared Python code as a package. This approach eliminates code duplication between your Cloud Functions and server.
Step 1: Structure Your Shared Code
Create a new Python package for your shared logic (e.g., common_logic).
common_logic/ ├── setup.py ├── common_logic/ │ ├── __init__.py
Step 2: Create setup.py
Define your package configuration in a setup.py file:
common_logic/ ├── setup.py ├── common_logic/ │ ├── __init__.py
Step 3: Set Up Google Artifact Registry
- Enable the Artifact Registry API:
from setuptools import setup, find_packages setup( name="common_logic", version="0.1.0", packages=find_packages(), install_requires=[ "pandas>=1.3.0", ], author="Your Name", author_email="your.email@example.com", description="Common logic for app", )
- Create a Python repository:
gcloud services enable artifactregistry.googleapis.com
Step 4: Configure Authentication
- Create a service account:
gcloud artifacts repositories create python-packages \ --repository-format=python \ --location=us-central1 \ --description="Python packages repository"
- Grant necessary permissions:
gcloud iam service-accounts create artifact-publisher \ --description="Service account for publishing to Artifact Registry"
- Create and download a key:
gcloud artifacts repositories add-iam-policy-binding python-packages \ --location=us-central1 \ --member="serviceAccount:artifact-publisher@${PROJECT_ID}.iam.gserviceaccount.com" \ --role="roles/artifactregistry.writer"
Step 5: Build and Upload Package
- Install build tools:
gcloud iam service-accounts keys create key.json \ --iam-account=artifact-publisher@${PROJECT_ID}.iam.gserviceaccount.com
- Build the package:
pip install build twine
- Configure twine for Artifact Registry:
python -m build
- Upload the package:
cat > ~/.pypirc << EOL [distutils] index-servers = common-logic-repo [common-logic-repo] repository: https://us-central1-python.pkg.dev/${PROJECT_ID}/python-packages/ username: _json_key_base64 password: $(base64 -w0 key.json) EOL
Step 6: Use the Package
In Cloud Functions
- Create a requirements.txt file:
twine upload --repository common-logic-repo dist/*
- Use the package in your Cloud Function:
--index-url https://pypi.org/simple --extra-index-url https://oauth2accesstoken:${ARTIFACT_REGISTRY_TOKEN}@us-central1-python.pkg.dev/${PROJECT_ID}/python-packages/simple/ common-logic==0.1.0
In Server Code
- Add to your server's requirements.txt:
from common_logic import ... def cloud_function(request): # Your cloud function code using the imported functions pass
- Use it in your server code:
--index-url https://pypi.org/simple --extra-index-url https://oauth2accesstoken:${ARTIFACT_REGISTRY_TOKEN}@us-central1-python.pkg.dev/${PROJECT_ID}/python-packages/simple/ common-logic==0.1.0
Step 7: CI/CD Integration
- Add the service account key as a secret in your GitHub repository.
- Update your Cloud Build configuration:
from common_logic import ... # Your server code using the imported functions
Step 8: Version Management
- Update the version in setup.py.
- Build and upload the new version.
- Update requirements.txt in both Cloud Functions and server code.
- Deploy both components.
Best Practices
- Use semantic versioning for your package.
- Pin specific versions in requirements.txt.
- Test new versions thoroughly before deploying.
- Keep a changelog of version changes.
- Use environment variables for PROJECT_ID and LOCATION.
- Include comprehensive documentation in your package.
Common Issues and Solutions
Authentication Errors
- Verify service account permissions.
- Ensure key.json is properly encoded.
- Check .pypirc configuration.
Package Not Found
- Verify repository URL format.
- Check if the package was successfully uploaded.
- Ensure requirements.txt uses the correct URL format.
Version Conflicts
- Pin specific versions of dependencies.
- Use virtual environments for testing.
- Document dependency requirements clearly.
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