setup-python VS Jenkins

Run a local host with the static website content with Python setup Github Actions

setup-python

The first two steps are setting up the job's environment. The checkout action will checkout out the repository at the triggering ref. The setup-python action will setup the desired Python runtime. My package supports Python 3.9+ so I'm targeting the minimum version for my build environments.

actions/setup-python@v4 does not support arm64 (https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json). See related Open issue https://github.com/actions/setup-python/issues/108.

The most popular ones are Node.js, Python, Java JDK, Go, .Net Core SDK.

To build your environment in GH Actions you'll need to add a block to your yaml file BEFORE the Azure Build and Deploy section. You'll need to include the setup-python action and specify the python version you would like to use. Use the major version of your python version so 3.10 and NOT 3.10.5. For more information and options on this you can check out the Setup-Python GH actions repo.

Next up we'll need to add a step to compile our production ready build. For this we can add two new steps, one which configures our Node version to ensure it matches our application, followed by another that runs the necessary commands with npm. Depending on how your application is built you may need to add another step between these to install any sort of required environments such as Python or Java.

Python 3.9 is setup using actions/[email protected] and the pip packages are cached

It requires that the checkout and setup-python actions be used first.

First, we have to checkout the repository in GitHub Actions using GitHub's own checkout action. Then, we have to set up the Python version using GitHub's setup-python action. Finally, we can use Black's provided GitHub Action for checking formatting - it runs black --check --diff on the workflow runner's clone of the repo and outputs an error code if any Python file in the repo fails Black's formatting rules. Note that Black fails if the AST cannot be parsed (i.e. if there are any syntax errors), so it can also be used for checking syntax correctness, which itself is a good proxy for checking for merge conflict strings.

Jenkins is a highly extensible Java-based CI/CD automation server. It is open-source and self-hosted and enables you to automate, build, and deploy your software. The tool seamlessly integrates with various version control systems, cloud providers, and third-party applications, making it a versatile choice for modern development environments.

For instance, IDPs can automatically trigger a deployment process in Jenkins or CircleCI when a developer pushes code to a Git repository.

Familiarize yourself with tools like Jenkins, Travis CI, GitLab CI, and others that facilitate these practices.

Jenkins: An open-source automation server that can be used to set up CI/CD pipelines.

Jenkins is an open-source automation tool that allows developers to build, test and deploy software.

Choosing the right CI/CD platform and mastering YAML configuration are critical steps in optimizing your software development process. First, choose a CI/CD platform from popular options such as Jenkins, Travis CI, CircleCI, GitLab CI/CD, or GitHub Actions that meets the needs of your project and integrates seamlessly with your development stack.

Jenkins is a Java based CI/CD system that can be self hosted. In order to initiate builds, Jenkins utilizes a component called an agent to execute build commands. These agents can be a constantly running service or part of an on demand service such as a cloud provider or Docker containers. Kubernetes is one such solution to deploying build agents on demand. This article will look at how to setup Kubernetes as a provider for Jenkins build agents.

In this article, we briefly discussed some popular CI/CD platforms for React Native and why they are crucial in the programming world. We also included some honorable mentions, Jenkins CI and Bitrise, in our comparison table. It is important to remember that every project is different, and therefore it is important to evaluate each tool’s advantages and disadvantages.

Originally, I was using Jenkins (Yes, the CI pipeline java app) for this, but it was clear that is not its purpose, and it was fairly clunky. The only real upside was direct git support, but I don't mind incorporating git pulls into my jobs themselves.