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Deploying

Once your project is ready for production, follow these steps to deploy it to Azure.

Pre-deployment Checklist

Before deploying, ensure you have:

  • App Settings: Created an Azure Function App with the correct Python version (3.10-3.14).
  • Host.json: Verified that host.json contains any necessary production configurations.
  • Tests: Run your Pytest suite locally and passed all checks.
  • Local Run: Successfully started the runtime locally using func start.

Deploy Command

Use the Azure Functions Core Tools to publish your project.

# Authenticate if necessary
az login

# Deploy the project
func azure functionapp publish <YOUR_APP_NAME>

Expected Output:

Getting site publishing info...
Uploading package...
Deployment completed successfully.
Remote build completed!

Production Settings

Keep your local.settings.json separate from production settings. Configure secrets and connection strings (like SERVICEBUS_CONNECTION or AzureWebJobsStorage) in the Azure Portal or using the CLI:

az functionapp config appsettings set --name <APP_NAME> --resource-group <RG_NAME> --settings "CONNECTION_STRING=your_value"

GitHub Actions

If you used the --github-actions flag during generation, a .github/workflows/main_azure_function.yml file was created. You can use this for automated deployments.

  1. Commit and push your code to GitHub.
  2. Set up the AZURE_FUNCTIONAPP_PUBLISH_PROFILE secret in your repository settings.
  3. The workflow will automatically build and deploy on every push to the main branch.

What's Next?

Encountered an issue? Check the Troubleshooting guide.