python-error-handling

Standardizing Python exception handling requires a unified DomainError base class and a catch-once boundary pattern at the transport edge. This approach eliminates swallowed exceptions by enforcing structured error propagation and centralized mapping to HTTP status codes.

Mapping domain-specific errors to HTTP status codes in FastAPI is best handled by a centralized transport-layer exception handler. This handler catches domain failures at the API boundary and translates them into correct HTTP responses with secure, opaque error reporting.

Your Python API leaks stack traces because errors are likely logged and re-raised across multiple layers rather than caught at a single boundary. Implementing a centralized exception handler ensures opaque, secure error reporting for production environments.

Implementing a raise-deep, catch-once error propagation pattern involves raising structured DomainError exceptions deep in the business logic and catching them once at the application's transport edge. This ensures clean, predictable API responses.

Yes, you can apply domain-driven design error taxonomy to an existing Python backend service by refactoring it. Define a standardized DomainError base class with typed attributes and register a single boundary exception handler to replace scattered error logging.

Centralized exception handling may not suit contexts requiring highly granular, layer-specific error recovery logic. If individual layers must execute distinct state-rollback operations before failing, a strict catch-once boundary approach requires careful precondition management.