Weatherlink MCP

🚀 Devcontainer Python Development Environment Template

This repository offers a convenient way to set up a development environment for Python projects using Devcontainer technology. It comes pre - configured with the necessary tools and dependencies, providing a consistent development experience.

✨ Features

• Development with Python 3.11: Utilize the latest features of Python 3.11 for your projects.
• Pre - installed Tools:
  • pytest: A testing framework for writing and running tests.
  • flake8: A code linting tool to check code quality and style.
  • black: A code formatting tool to ensure consistent code style.
• Consistent Development Environment: Devcontainer provides a unified development environment across different machines.
• Docker - based Isolation: Ensures configuration consistency through an isolated Docker environment.
• Sample Code and Reference Documentation:
  • Covers basic Python syntax and major design patterns.
  • Offers detailed test cases and implementations.

🚀 Quick Start

Follow these steps to use this development environment:

1. Clone the repository:

   git clone https://github.com/tomohiroJin/devcontainer-python.git -b feature/add-reference
   cd devcontainer-python
   

2. Open the project with VS Code:

   code .
   

3. When Devcontainer prompts you to reopen the project, follow the instructions.

4. Run tests to verify the environment:

   pytest
   

📚 Documentation

This project includes sample code for learning and referencing Python basics and major design patterns, covering the following aspects:

• Basic Python syntax
• Major design patterns
• Detailed test cases

💻 Usage Examples

1. Run Tests

Use pytest to execute tests in the project. You can run tests in various ways:

Run All Tests

pytest

Run Tests for a Specific File

If you only want to run tests for a specific file, specify the file path:

pytest tests/reference/basic/test_conditions.py

View Detailed Information

Use the -v option to view detailed information for each test:

pytest -v

Run Specific Test Cases

Use the -k option to match test names and run specific cases:

pytest -k test_name

Show Only Failed Tests

Use the --lf option to show only failed tests:

pytest --lf

2. Check Code Quality

Use flake8 to check the quality and style of your code:

flake8 src/

3. Format Code

Use black to format Python code:

Format All Files

black .

View Formatting Suggestions without Modifying

black --check .

Specify a Specific File or Directory

black src/fizzbuzz/fizzbuzz.py

🔧 Customize the Development Environment

• You can further customize your development environment by editing the .devcontainer/devcontainer.json file.
• For example, you can adjust the Python version or install additional tools as needed.

📄 License

This project is licensed under the MIT License.