🐳 docker cp src=/Users/andrewevans/Documents/projects/getting-started-with-act/.
🐳 docker run image=node:16-buster-slim platform= entrypoint= cmd= 🐳 docker create image=node:16-buster-slim platform= entrypoint= cmd= 🐳 docker pull image=node:16-buster-slim platform= username= forcePull=false
#GITHUB ACTIONS CODE#
If I just want to run the build job independently, I’ll use the code below: ➜ getting-started-with-act git:(master) act -j build Next, I’ll look at the dependencies of the jobs on the push event: ➜ getting-started-with-act git:(master) act push -l If I wanted to, I could specify the architecture and avoid seeing that message. The warning message indicates that act noticed the type of machine I’m using. Stage Job ID Job name Workflow name Workflow file EventsĠ build build Node.js CI node.js.yml pushĢ deploy Deploy to Netlify Node.js CI node.js.yml push If so, try running it with '-container-architecture linux/amd64'. WARN ⚠ You are using Apple M1 chip and you have not specified container architecture, you might encounter issues while running act. In the sample project, I list the associated jobs as follows: ➜ getting-started-with-act git:(master) act -l This saved significant time that I would have otherwise spent deploying and updating the YAML file, then waiting for the console to complete. I found this to be really helpful because I could build the pipeline without having to directly interact with the GitHub console. Using Act with this pipeline, I was able to do several things, including running the jobs independently as well as directly seeing data about the jobs. These topics are beyond the scope of this article, but for reference, I recommend checking out the GitHub Actions documentation.
I also used caching and storing artifacts between stages. The test job is dependent on the build job, and the deploy job is dependent on the test and build jobs.
#GITHUB ACTIONS INSTALL#
For example, if you wanted to cache the node modules, you could just add the following code: - run: npm install You could have additional jobs that are reliant on this one, but the steps can also be their own actions. In the example above, a GitHub Action is defined with a build job that checks out your code, does an npm install, and builds the project. GitHub Actions’ syntax looks like the following: name: Node.js CI GitHub will then run your pipeline on specific events, which could include opening a pull request or merging into the master branch. Similar to CI/CD tools like CircleCI, Jenkins, and more, GitHub Actions allow you to define a pipeline in a YAML file. Let’s get started!īefore we begin working with act, we should have a basic understanding of how GitHub Actions work. To follow along, check out my sample project on GitHub. In this article, we’ll introduce act in a sample project, install it, and then cover the different ways that act can improve your experience building and testing GitHub Actions.
act helps developers run independent stages in a pipeline, and it generally improves the feedback loop whenever you’re building pipelines with GitHub Actions. With act, you can use Docker containers locally to directly run steps in GitHub Actions. The act project is a powerful tool that you can use with GitHub Actions to quickly test and refine a continuous integration and continuous delivery (CI/CD) pipeline. Andrew Evans Follow Husband, engineer, FOSS contributor, and developer at AWS.
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