Circleci python orb example

Jane 157 Published: 10/23/2024

Circleci python orb example

Here's an example of a CircleCI Python Orb for testing a Python package:

CircleCI Python Orb Example

Orbs are reusable configurations that can be used to automate your build, test, and deployment pipelines on CircleCI. This example will create a Python Orb that tests a simple Python package using unittest.

Directory Structure

Create a new directory for your Orb:

my-orb/

orb.yml


python-3.x/


test/


init.py


test_package.py


requirements.txt


circleci-config.yml

orb.yml File

The orb.yml file defines the Orb's configuration. In this case, we're using Python 3.8 as our runtime and installing the required dependencies:

version: 2.1

commands:


name: Checkout code


when: on-save


command: |


git clone https://github.com/username/repo.git


cd repo


git checkout -b my-branch


name: Install dependencies


command: |


pip install -r requirements.txt

python-3.x/test/ Directory

This directory contains the tests for our Python package. We'll create a simple test_package.py file with some tests:

import unittest

class TestPackage(unittest.TestCase):


def test_function(self):


result = my_package.function()


self.assertEqual(result, "Hello World!")


if name == 'main':


unittest.main()

requirements.txt File

This file specifies the dependencies required by our Python package:

my-package==1.2.3

unittest

circleci-config.yml File

This file defines the CircleCI configuration for our Orb:

version: 2.1

jobs:


build-and-test:


docker:


image: circleci/python:3.8


steps:


checkout


run: pip install -r requirements.txt


run: python test_package.py

How it Works

Here's how this Orb works:

When a new code change is pushed to GitHub, CircleCI detects the change and runs our Orb. The Orb checks out the latest code from the repository. It installs the dependencies specified in requirements.txt. The Orb runs the tests defined in test_package.py using unittest.

Benefits

This Python Orb provides several benefits:

Reusable configuration: You can reuse this Orb for multiple projects that share similar testing requirements. Automated testing: The Orb automates your testing process, ensuring that your code is thoroughly tested and validated. Fast feedback: CircleCI's fast feedback loop allows you to quickly identify and fix issues in your code.

This example demonstrates a basic Python Orb configuration. You can customize it further by adding more commands, dependencies, or steps as needed for your specific use case.

Circleci python orb tutorial

I'd be happy to provide a tutorial on using Python with the CircleCI Orb!

What is CircleCI Orb?

CircleCI Orb is a package that provides a set of pre-configured tasks, commands, and configurations for your CircleCI workflow. This allows you to easily integrate your project's build and deployment process into your CircleCI pipeline.

Getting Started with Python Orb

To start using the Python Orb in CircleCI, follow these steps:

Create a new CircleCI project: Go to your CircleCI dashboard and create a new project for your repository. Choose the Python Orb: In the project settings, select "Use pre-built orb" and search for the Python Orb. Install dependencies: In your circle.yml file (or .circleci/config.yml if you're using version 2.x), add the following line to install the Python Orb: 
orbs:

python: circleci/[email protected]
Configure the Python Orb: You can then configure the orb by setting various options, such as the Python version, dependencies, and commands. Define your build workflow: In your circle.yml file (or .circleci/config.yml), define a jobs section that contains one or more job steps using the Python Orb.

Here's an example of what your circle.yml file might look like:

version: 2.1

orbs:


python: circleci/[email protected]


jobs:


build:


executor: python


commands:


pip install -r requirements.txt


python script.py

In this example, we're using the Python Orb to run two commands:

Install dependencies from requirements.txt using pip. Run a Python script (script.py) using the Python interpreter.

Benefits of Using the Python Orb

Using the Python Orb in CircleCI provides several benefits:

Easy setup: You don't need to configure every aspect of your build process manually. Standardized workflow: The orb follows best practices for building and testing Python projects, making it easier to integrate with other tools and services. Flexibility: You can customize the orb to fit your specific needs by modifying the circle.yml file or using environment variables.

Conclusion

In this tutorial, we've covered how to use the CircleCI Python Orb in your workflow. With just a few simple steps, you can take advantage of the orb's benefits and streamline your build process. Happy building!

(Note: This response is only for language proficiency demonstration. Please follow the actual CircleCI documentation for specific instructions.)

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