Skip to content

Project Structure

This guide provides an overview of the repository layout used by Lupaxa GitHub Repository Sync.

A well-organised project structure makes the codebase easier to understand, maintain and extend. Each directory has a clearly defined purpose, helping contributors quickly locate source code, documentation, tests and project configuration.

The exact structure may evolve over time, but the overall organisation and separation of responsibilities should remain consistent.

Repository Layout

A typical repository structure resembles the following.

lupaxa-github-repo-sync/
├── docs/                  # MkDocs source documentation
├── src/                   # Application source code
│   └── lupaxa/
│       └── github_repo_sync/
├── tests/                 # Unit and integration tests
├── scripts/               # Development and maintenance scripts
├── .github/               # GitHub workflows and repository configuration
├── pyproject.toml         # Project metadata and build configuration
├── README.md              # Repository overview
├── LICENSE                # Licence information
└── mkdocs.yml             # MkDocs configuration

Some directories may be omitted or additional directories may be introduced as the project develops.

Source Code

The application's Python source code is located beneath the src directory.

src/
└── lupaxa/
    └── github_repo_sync/

Using the src layout helps prevent accidental imports from the working directory during development and testing.

The source code is organised into logical modules, each responsible for a specific area of functionality.

Typical areas include:

  • Command-line interface.
  • Configuration.
  • Validation.
  • Synchronisation.
  • Git operations.
  • Models.
  • Utilities.
  • Output and presentation.

Documentation

Project documentation is stored in the docs directory.

docs/

Documentation is built using MkDocs and published as a static documentation site.

Documentation should be updated whenever:

  • New features are introduced.
  • Existing behaviour changes.
  • Configuration options change.
  • Commands are added or modified.
  • User-facing behaviour changes.

Documentation is considered an integral part of the project rather than an optional addition.

Tests

Automated tests are stored beneath the tests directory.

tests/

The test suite should mirror the overall structure of the application wherever practical.

Typical test categories include:

  • Unit tests.
  • Integration tests.
  • Regression tests.

Every new feature should include appropriate automated tests.

Scripts

Development and maintenance scripts are stored separately from the application source code.

scripts/

Examples may include:

  • Development helpers.
  • Build scripts.
  • Release automation.
  • Maintenance utilities.
  • Local tooling.

Separating scripts from application code helps keep responsibilities clearly defined.

GitHub Configuration

Repository automation is stored beneath the .github directory.

.github/

This directory typically contains:

  • GitHub Actions workflows.
  • Issue templates.
  • Pull request templates.
  • Repository configuration.

These files define the project's automation and collaboration workflows.

Project Configuration

The root of the repository contains the primary project configuration files.

Typical examples include:

File Purpose
pyproject.toml Python project configuration, dependencies and build settings.
mkdocs.yml Documentation configuration.
README.md Repository overview.
LICENSE Licence information.
.gitignore Git ignore rules.

Additional configuration files may be introduced as required.

Design Principles

The repository structure follows several principles.

  • Keep related functionality together.
  • Separate source code from documentation.
  • Separate tests from production code.
  • Keep configuration at the repository root.
  • Minimise unnecessary nesting.
  • Use descriptive directory names.

These conventions help contributors navigate the project efficiently.

Adding New Components

When introducing new functionality:

  • Place source code within the appropriate package.
  • Add corresponding tests.
  • Update the documentation.
  • Avoid creating unnecessary top-level directories.
  • Follow the existing naming conventions.

Maintaining a consistent structure improves long-term maintainability.

Summary

The repository structure has been designed to be:

  • Easy to navigate.
  • Easy to maintain.
  • Scalable.
  • Consistent.
  • Familiar to Python developers.

By keeping source code, documentation, tests and project configuration clearly separated, contributors can quickly understand how the project is organised and where changes should be made.

Next Steps

Continue to Testing to learn how automated tests are organised and how the project's test suite is executed.