rules-flext-core

This validation checks Python files against architectural, typing, and result flow rules. It validates dependency inversion, enforces standardized result composition using FlextResult, and ensures correct dependency injection patterns.

The best way to validate dependency injection is using a rules engine that checks Python files against architectural constraints. It enforces inward dependency direction and standardized result composition for robust error and success handling.

Standardizing result composition requires enforcing the use of FlextResult across Python code changes. This ensures robust error and success handling while maintaining alignment with architectural principles and typing conventions.

Architecture validation checks are needed when modifying files in the source directory. The validation automatically checks if changes align with defined rules for result composition, dependency injection, and typing conventions, flagging any deviations.

This validation works with both Python source files and documentation files. It targets Python files within the source directory and documentation in the architecture directory to ensure comprehensive adherence to architectural rules.