This repository includes a pre-configured MegaLinter workflow for automated code quality checks, but it needs to be manually enabled:
To activate MegaLinter:
- Rename .github/mega-linter.yml.example to
.github/mega-linter.yml
- Move the file from .github to the .github/workflows folder
- Commit and push the change
Why this step is needed: GitHub Actions security restrictions prevent automatic creation of workflow files during template initialisation. Learn more about GitHub Token permissions and workflow limitations.
Once enabled, MegaLinter will automatically run on all Pull Requests and commits to main
, checking:
- Python code quality (Ruff, Black, Pylint, MyPy)
- GitHub Actions workflows
- Documentation formatting
- Shell scripts, Dockerfiles, and more
python-template-demo
IMPORTANT: This README was generated from a template. Please update it with specific information about your project, including:
- Detailed project description and purpose
- Specific installation requirements
- Usage examples and API documentation
- Contributing guidelines specific to your project
- Any project-specific compliance requirements
Before you start developing, please ensure you've completed the following compliance requirements:
- CODEOWNERS: Update
.github/CODEOWNERS
with the appropriate team/individuals responsible for this repository - README: Update this README with project-specific information (remove this notice when done)
- Repository Settings: Ensure branch protection rules are enabled (should be automatic if using template setup)
- Security: Review and configure security settings appropriate for your project
- License: Verify the LICENSE file is appropriate for your project
- Dependencies: Review and update dependencies as needed for your project
To get a local copy up and running, follow these simple steps.
Ensure you have the following installed:
- Python: Version specified in
.python-version
. We recommend using pyenv for managing Python versions. - Poetry: This is used to manage package dependencies and virtual environments.
- Docker
- Operation System: Ubuntu/MacOS
-
Clone the repository and install the required dependencies.
git clone https://github.com/ONSdigital/python-template-demo.git
-
Install dependencies
Poetry is used to manage dependencies in this project. For more information, read the Poetry documentation.
To install all dependencies, including development dependencies, run:
make install-dev
To install only production dependencies, run:
make install
-
Run the application
make run
Get started with development by running the following commands.
Before proceeding, make sure you have the development dependencies installed using the make install-dev
command.
A Makefile is provided to simplify common development tasks. To view all available commands, run:
make
The unit tests are written using the pytest framework. To run the tests and check coverage, run:
make test
Various tools are used to lint and format the code in this project.
The project uses Ruff, pylint and black for linting and formatting of the Python code.
The tools are configured using the pyproject.toml
file.
To lint the Python code, run:
make lint
To auto-format the Python code, and correct fixable linting issues, run:
make format
MegaLinter is utilised to lint the non-python files in the project. It offers a single interface to execute a suite of linters for multiple languages and formats, ensuring adherence to best practices and maintaining consistency across the repository without the need to install each linter individually.
MegaLinter examines various file types and tools, including GitHub Actions, Shell scripts, Dockerfile, etc. It is
configured using the .mega-linter.yml
file.
To run MegaLinter, ensure you have Docker installed on your system.
Note: The initial run may take some time to download the Docker image. However, subsequent executions will be considerably faster due to Docker caching. 🚀
To start the linter and automatically rectify fixable issues, run:
make megalint
See CONTRIBUTING.md for details.
See LICENSE for details.