Project Name

Python Version Code style: black Imports: isort Type Checked: mypy Linting: ruff Pre-commit

A brief description of what this project does and who it's for.

Features

  • Feature 1: Description
  • Feature 2: Description
  • Feature 3: Description

Table of Contents

Installation

Prerequisites

  • Python 3.11 or higher
  • Poetry (for dependency management)

Using Poetry (Recommended)

  1. Install Poetry if you haven't already:

    curl -sSL https://install.python-poetry.org | python3 -
  2. Clone the repository:

    git clone https://github.com/yourusername/project-name.git
    cd project-name
  3. Install dependencies:

    poetry install
  4. Activate the virtual environment:

    poetry shell

Using pip

  1. Clone the repository:

    git clone https://github.com/yourusername/project-name.git
    cd project-name
  2. Create a virtual environment:

    python -m venv venv
    source venv/bin/activate  # On Windows: venv\Scripts\activate
  3. Install the package:

    pip install -e .

Quick Start

from src.main import YourMainClass

# Example usage
instance = YourMainClass()
result = instance.do_something()
print(result)

Usage

Basic Example

# Import the necessary modules
from src.module import function

# Use the function
result = function(param1="value1", param2="value2")

Advanced Example

# More complex usage example
from src.advanced import AdvancedClass

config = {
    "option1": "value1",
    "option2": "value2"
}

advanced = AdvancedClass(**config)
advanced.process()

Command Line Interface

If your project includes a CLI:

# Run the main command
python -m src.main --help

# Example command
python -m src.main process --input data.csv --output results.json

Development

Setting Up Development Environment

  1. Install development dependencies:

    poetry install --with dev
  2. Install pre-commit hooks:

    pre-commit install
  3. Run pre-commit on all files (optional):

    pre-commit run --all-files

Code Quality Tools

This project uses several tools to maintain code quality:

  • Black: Code formatting

    poetry run black src tests
  • isort: Import sorting

    poetry run isort src tests
  • Flake8: Linting

    poetry run flake8 src tests
  • MyPy: Type checking

    poetry run mypy src
  • Ruff: Fast Python linter

    poetry run ruff check src tests

Project Structure

project-name/
├── src/                    # Source code
│   ├── __init__.py
│   ├── main.py            # Main entry point
│   └── module.py          # Example module
├── tests/                  # Test suite
│   ├── __init__.py
│   ├── conftest.py        # Pytest configuration
│   ├── unit/              # Unit tests
│   └── integration/       # Integration tests
├── docs/                   # Documentation
├── scripts/               # Utility scripts
├── .github/               # GitHub specific files
│   ├── workflows/         # GitHub Actions
│   └── ISSUE_TEMPLATE/    # Issue templates
├── pyproject.toml         # Project configuration
├── poetry.lock           # Locked dependencies
├── README.md             # This file
├── .gitignore           # Git ignore rules
├── .pre-commit-config.yaml # Pre-commit hooks
├── Dockerfile           # Docker configuration
├── pytest.ini          # Pytest configuration
└── tox.ini            # Tox configuration

Testing

Running Tests

Run all tests:

poetry run pytest

Run with coverage:

poetry run pytest --cov=src --cov-report=html

Run specific test markers:

# Run only unit tests
poetry run pytest -m unit

# Run only integration tests
poetry run pytest -m integration

# Skip slow tests
poetry run pytest -m "not slow"

Using Tox

Run tests across multiple Python versions:

poetry run tox

Run specific environments:

# Run tests
poetry run tox -e py311

# Run linting
poetry run tox -e lint

# Run type checking
poetry run tox -e type

Documentation

Documentation is available in the docs/ directory. To build the documentation:

# Install documentation dependencies
poetry install --with docs

# Build HTML documentation
poetry run sphinx-build -b html docs docs/_build

Docker

Building the Docker Image

docker build -t project-name:latest .

Running the Container

docker run -it --rm project-name:latest

Docker Compose

If you have a docker-compose.yml:

docker-compose up

Environment Variables

Copy .env.example to .env and configure your environment variables:

cp .env.example .env

Key environment variables:

  • APP_ENV: Application environment (development/staging/production)
  • DEBUG: Enable debug mode
  • LOG_LEVEL: Logging level
  • See .env.example for all available options

Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Development Workflow

  1. Ensure all tests pass
  2. Update documentation as needed
  3. Add tests for new functionality
  4. Ensure code passes all quality checks
  5. Submit a pull request

Troubleshooting

Common Issues

Issue: Poetry installation fails

  • Solution: Ensure you have Python 3.11+ and try using the official installer

Issue: Pre-commit hooks fail

  • Solution: Run pre-commit run --all-files to see detailed errors

Issue: Tests fail locally

  • Solution: Ensure all dependencies are installed with poetry install --with dev

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

  • List any libraries, tools, or resources you want to acknowledge
  • Contributors and maintainers
  • Inspiration sources

Contact

Changelog

See CHANGELOG.md for a detailed list of changes between versions.


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