How to use Poetry in CI/CD Pipelines In Python
Using poetry to master poetry in the CI/CD pipelines means that the right dependencies are present from the start, and your project compiles as expected.
Example CI Configuration for Pull Requests (GitHub Actions)
Create a .github/workflows/ci.yml file with the following content:
name: CI
on:
push:
branches:
- main
pull_request:
branches:
- main
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: 3.8
- name: Install Poetry
run: curl -sSL https://install.python-poetry.org | python3 -
- name: Install dependencies
run: poetry install
- name: Run tests
run: poetry run pytest
Explanation
- actions/checkout@v2: Checks out your repository.
- actions/setup-python@v2: Sets up a Python environment.
- Install Poetry: Installs Poetry in the CI environment.
- Install dependencies: Installs project dependencies using Poetry.
- Run tests: Runs your tests using Poetry.
Integrating Poetry in Python with version control systems
Version control systems, like Git, are crucial components in today’s software application development processes. They assist in controlling modification to the project’s source code, working with other developers, and, reviewing the history of the project. In this tutorial, crucial steps of Poetry’s integration with the project’s version control are discussed to improve the Python project’s development environment. This article will demonstrate recommended approaches and practical methods for using Poetry with a VCS, specifically Git.