python-error-handling

What problem does it solve?

Developers often struggle to implement robust error handling in Python, leading to unclear exception flows, difficult debugging, and inconsistent cleanup across code paths.

Core Features & Use Cases

• Specific exception hierarchies and exception chaining to provide clear error propagation.
• Context managers for automatic resource cleanup and reliable state management.
• Guidance for logging, error notes, and structured error reporting in both synchronous and asynchronous code.

Quick Start

To get started, create a small Python module showcasing a base AppError with a couple of derived exceptions, demonstrate raising and chaining, and add context for debugging. Then integrate the pattern into a sample function and verify the stack trace and logs.