Automating Unit Test Execution for Kubeflow Pipelines |

Automating Unit Test Execution |

Question

You have written unit tests for a Kubeflow Pipeline that require custom libraries.

You want to automate the execution of unit tests with each new push to your development branch in Cloud Source Repositories.

What should you do?

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

B.

To automate the execution of unit tests with each new push to your development branch in Cloud Source Repositories, you should use Cloud Build, which is a fully managed continuous integration and delivery (CI/CD) platform that automates the build, test, and deployment of your code.

Option B is the correct answer. Here's a more detailed explanation of why:

Option A is not the best approach because it requires manual execution of the script to perform the push to the development branch and execute the unit tests on Cloud Run. This approach is not fully automated, and it may introduce errors and delays.

Option C involves setting up a Cloud Logging sink to a Pub/Sub topic that captures interactions with Cloud Source Repositories, but it does not provide a mechanism for triggering the unit tests. Also, executing the unit tests on Cloud Run is not necessary in this case, as the tests can be executed using Cloud Build.

Option D involves setting up a Cloud Logging sink to a Pub/Sub topic and executing the unit tests using a Cloud Function that is triggered when messages are sent to the Pub/Sub topic. This approach is more complex than necessary and may introduce additional latency and errors.

Therefore, the best approach is to use Cloud Build to automate the execution of unit tests with each new push to your development branch in Cloud Source Repositories. To do this, you need to create a Cloud Build configuration file that specifies the steps to build and test your code. You can then set up an automated trigger in Cloud Build to execute the tests when changes are pushed to your development branch.

Here's an example of what the Cloud Build configuration file might look like:

yaml
steps: - name: gcr.io/cloud-builders/gcloud args: ['auth', 'configure-docker'] - name: gcr.io/cloud-builders/docker args: ['build', '-t', 'gcr.io/PROJECT_ID/IMAGE_NAME:$COMMIT_SHA', '.'] - name: gcr.io/cloud-builders/docker args: ['push', 'gcr.io/PROJECT_ID/IMAGE_NAME:$COMMIT_SHA'] - name: gcr.io/cloud-builders/docker-compose args: ['-f', 'docker-compose.test.yaml', 'run', 'tests']

This configuration file does the following:

  1. Authenticates with Docker.
  2. Builds a Docker image tagged with the commit SHA.
  3. Pushes the Docker image to Container Registry.
  4. Runs the unit tests using Docker Compose.

Once you have created the Cloud Build configuration file, you can create an automated trigger to execute the tests when changes are pushed to your development branch. To do this, follow these steps:

  1. Go to the Cloud Build page in the Cloud Console.
  2. Click the "Triggers" tab.
  3. Click "Create Trigger".
  4. Configure the trigger to build your code when changes are pushed to your development branch in Cloud Source Repositories.
  5. Set the "Build Configuration" to the path of your Cloud Build configuration file.
  6. Save the trigger.

Now, whenever you push changes to your development branch in Cloud Source Repositories, Cloud Build will automatically build and test your code. If the tests pass, the build will be marked as successful. If the tests fail, the build will be marked as failed, and you will receive a notification. This approach ensures that your code is always tested before it is deployed, reducing the likelihood of introducing bugs or other issues into your production environment.