Getting Started with CTO.ai GitHub Pull Request Open Event Trigger

by Tola Ore-Aruwaji

Introduction

CTO.ai is a platform that enables developers to create, share, and automate workflows, simplifying the developer experience and boosting productivity. One of the powerful features provided by CTO.ai is the ability to create event-driven automation, such as triggering actions based on GitHub pull request events. This article will guide you through the process of setting up a CTO.ai GitHub pull request open event trigger to automate your workflows.

Prerequisites

Install the GitHub App

Before creating an event trigger, we need to install the CTO.ai GitHub App on your GitHub account. This app will enable the CTO.ai platform to listen for events from your GitHub repositories.

  1. Sign up and log in to your CTO.ai Account. In your account dashboard, install the GitHub App by clicking on Install GitHub App.

2. Select which GitHub account or organization you want to install the CTO.ai App

3. Select the repositories you want the app to have access to, or allow access to all current and future repositories.

4. Click the Install & Authorize button.

Create a CTO.ai Workflow

Now that we have the GitHub App installed, let's create a workflow triggered by the pull request open event.

  • Create your sample application with code changes, and push it to GitHub. You can look at the sample Python code repository on GitHub to get started with how a workflow is created in the ops.yml file. After configuring your ops.yml file, build your workflow using ops build . and publish it using ops publish .
  • The ops.yml is written in YAML format, a human-readable data serialization format. Here’s a breakdown of the content:

version: Indicates the version of the pipeline configuration, which is set to "1" in this case.

pipelines: Contains a list of pipelines, and in this case, there is only one pipeline:

  • name: The name of the pipeline is django-workflow:0.1.5.
  • description: A brief description of the pipeline, django-workflow.
  • env: Defines the environment variables for the pipeline. In this case, there are four static variables:
  • DEBIAN_FRONTEND=noninteractive: Sets the Debian frontend to non-interactive mode.
  • ORG=thecraftman: Sets the organization name as thecraftman.
  • REPO=django-workflow: Sets the repository name as django-workflow.
  • REF=main: Sets the branch reference as main.
  • events: Specifies the events that will trigger the pipeline. In this case, the pipeline will be triggered when a pull request is opened in the thecraftman/django-workflow GitHub repository. The GitHub pull request open event is a specific type of webhook event that gets triggered when a new pull request is opened on the GitHub repository you installed the GitHub App. In the context of a GitHub pull request open even, when a contributor creates a new pull request to propose changes to the repository’s codebase, GitHub sends a webhook with the event type pull_request.opened to the specified endpoints.

View GitHub Pull Request Open Triggers

In your GitHub repository, create a pull request, propose changes, and commit the changes to a new branch.

  • When you open the pull request, you can see your CI/CD pipeline getting triggered and running.
  • Wait for some minutes; you’ll see your pipeline is successfully triggered.
  • Click on Details to get a detailed view of your workflow logs. You can see your workflow logs and total checks.

  • Back in your CTO.ai pipeline console, you’ll see your pipeline logs, with the job name, stage, version number, description ID, and pipeline status.

Take the Next Step with CTO.ai GitHub Pull Request Open Event Triggers

Now that you have a solid understanding of the CTO.ai GitHub Pull Request Open Event Trigger, it's time to take advantage of this powerful feature to automate and streamline your development workflows. By implementing this trigger in your projects, you'll be able to ensure that your team's code is reviewed promptly, tested efficiently, and integrated seamlessly into your codebase. You can view the code sample here with the appropriate code changes.

Get started today and experience the benefits of a modern, automated development process that empowers your team and accelerates your software delivery.