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pyTemplate

This is a Python project template that includes a basic structure for a Python application, including configuration, modules, tests, and utilities. It also includes a pre-configured Poetry project and Ruff linting settings.

The project uses Pydantic for handling environment variables, which are loaded from a .env file. This provides a type-safe and validated way of accessing and managing configuration settings.

Table of Contents

  1. Template Structure
  2. Setup
  3. Usage
  4. License

Template Structure

The project structure is as follows:

pyTemplate
├── .env.example
├── .gitignore
├── LICENSE
├── poetry.lock
├── pyproject.toml
├── README.md
├── docs
│   └── documentation.md
└── pytemplate
    ├── __init__.py
    ├── config.py
    ├── main.py
    ├── modules
    │   ├── __init__.py
    │   └── xmodule
    │       ├── __init__.py
    │       ├── module_helpers.py
    │       └── module.py
    ├── tests
    │   └── x
    │       └── x_test.py
    └── utils
        ├── __init__.py
        └── utils.py
  • .env.example: Example environment variables file.
  • .gitignore: Gitignore file to exclude certain files from version control.
  • LICENSE: The project's license file.
  • poetry.lock: Poetry's lock file, ensuring consistent dependency versions.
  • pyproject.toml: Poetry's project configuration file.
  • README.md: This README file.
  • docs/documentation.md: Additional project documentation.
  • pytemplate/: The main Python package directory.
    • config.py: Configuration module.
    • __init__.py: Package initialization file.
    • main.py: Entry point for the application.
    • modules/: Directory for project modules.
    • tests/: Directory for test cases.
    • utils/: Directory for utility modules.

Setup

To set up the project, you'll need to have poetry installed. Then, follow these steps:

  1. Clone the repository:
git clone https://github.com/ItsZcx/pyTemplate.git
  1. Navigate to the project directory:
cd pyTemplate
  1. Install the project dependencies using Poetry:
poetry install
  1. (Optional) Create a virtual environment and activate it:
poetry shell

Usage

To run the application, use the following command:

poetry run python pytemplate/main.py

To run the tests, use the following command:

poetry run pytest

License

This project is licensed under the MIT License.

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