darca-exception 0.1.0

Exception module for reuse along projects.

Darca Exception is a powerful and feature-rich Python exception base class designed to enhance error handling in your projects. It integrates seamlessly with darca-log-facility for structured logging, making debugging and error tracking effortless.

🚀 Key Features

• Generic & Reusable - Works across various projects without modification.

• Structured Logging - Uses DarcaLogger for clean and consistent logs.

• Exception Chaining - Captures underlying causes (cause).

• Metadata Support - Add extra details (metadata).

• JSON Serialization - Easily convert exceptions to structured JSON.

• 100% Test Coverage - Ensured via pytest and pytest-cov.

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📦 Installation

Darca Exception uses Poetry for dependency management. To install dependencies, use:

make install

This will: - Create a virtual environment (venv) if needed. - Install Poetry and project dependencies.

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🚀 Usage

### Raising an Exception You can raise an exception using DarcaException:

from darca_exception import DarcaException

raise DarcaException("Something went wrong", error_code="GENERIC_ERROR")

### Exception Chaining You can chain exceptions using cause:

try:
    1 / 0
except ZeroDivisionError as e:
    raise DarcaException("Math error", error_code="MATH_001", cause=e)

### Structured JSON Output Converting an exception to JSON is simple:

try:
    raise DarcaException("Database failure", error_code="DB_FAIL")
except DarcaException as e:
    print(e.to_dict())

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🛠 Development & Testing

### Running Tests To run the test suite and check coverage:

make test

This will: - Run pytest with coverage enabled. - Generate a test coverage report.

### Formatting & Linting To automatically format and check code consistency:

make format

### Checking Before Pushing Before pushing code, always run:

make check

This will: - Format the code. - Run pre-commit hooks. - Execute tests.

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📖 Building Documentation

To generate documentation using Sphinx:

make docs

This will: - Build the documentation in docs/build/html/.

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🚀 Pre-Commit Hooks

To run pre-commit checks before committing code:

make precommit

This will: - Run linting, formatting, and static analysis. - Prevent common mistakes before pushing code.

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🔧 Adding Dependencies

You can dynamically add dependencies using make:

• Development dependencies (dev group):

  make add-deps group=dev deps="pytest black isort"

• Production dependencies:

  make add-prod-deps deps="requests pydantic"

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🗑 Cleaning Up

To remove the virtual environment and reset dependencies:

make clean

This will: - Remove the Poetry environment. - Delete cache files.

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💡 Contributing

Contributions are welcome! You can contribute by:

• Submitting feature requests

• Reporting issues

• Creating pull requests for fixes and enhancements

Before submitting a pull request, make sure to:

1. Run make check to ensure all checks pass.

2. Follow code style and formatting guidelines.

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📜 License

This project is licensed under the MIT License. See LICENSE for details.

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🎉 Final Notes

This project is production-ready and fully tested. 🚀 If you find any issues, feel free to submit a bug report!

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