Use this cookiecutter template 🍪 to start every new Python Django project.

• Git
• Python 3.11
• Poetry 1.2.x
• Pre-commit hooks

Create a new Python Django project

cookiecutter gh:papamana/cookiecutter-django

Create a new Python Django Project with Spesific Release version

cookiecutter gh:papamana/cookiecutter-django --checkout <release version>

example:

cookiecutter gh:papamana/cookiecutter-django --checkout v0.1-beta.1

For Windows, you might need to run python -m cookiecutter as the command might not work even though it's correctly configured on the PATH.

The template covers your back with the following elements:

• README.md with a pre-defined structure.
• CHANGELOG.md file with an initial message.
• Stub project template.
• Test directory with a sample test file.
• GitHub workflow configuration to run pytest automatically.
• Pre-configured mypy, Flake8, isort.
• A set of pre-commit hooks.
• pyproject.toml for Poetry.

Before creating a project:

• Install Poetry.
• Install pre-commit.
• Choose a project name. Likely, in the format foo-bar and create a GitHub repository for it. The root package of your project will have a default name foo_bar. Make sure that you made the repository private if you plan to create a private (non-open-source) project.
• Choose the license. For public projects, use MIT. For private projects, use "Proprietary."

The project generation runs these steps:

• Creates a new project from the template.
• Initializes a GitHub repository.
• Installs pre-commit hooks and updates all hooks to their latest versions.
• Create an initial commit.

After creating a project:

• Initialize the virtual environment and install all dependencies with poetry install.
• Deploy changes to GitHub.
• For Windows, you might need to change your access token to GitHub. See information here

Other hints:

• Use How to Write Good Documentation to fill in our README with the content.
• Use Keep a Changelog guideline for your changelog entries.

A file .github/workflows/tests.yml is responsible for running tests on GitHub.

At the moment, VSCode doesn't automatically detect Poetry environments. You can set it manually, though. For a newly created project, create a .vscode/settings.json

poetry install
mkdir -p .vscode
cat <<EOF > .vscode/settings.json
{
  "python.pythonPath": "$(poetry env info -p)/bin/python"
}
EOF

Ref: microsoft/vscode-python#8372

If you use VSCode and the vscode-dotenv extension, add the following lines to your .vscode/settings.json file:

"files.associations": {
  "env.example": "dotenv",
  "env.github-actions": "dotenv"
}

• If you have questions, ideas or suggestions, write them down in an issue.
• If you have a fix or an enhancement, create a pull request.

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