Solution Strategy

Quality Goals and Architectural Approaches

Quality Goal Solution Approach Details

Extensibility

* Abstract base classes * Plugin architecture * Clear interfaces

* New rules can be added by extending base classes * Plugin system allows external rule packages * Well-defined interfaces for rule implementation

Reliability

* Comprehensive testing * Strong typing * Defensive programming

* High test coverage * Type hints throughout the code * Careful input validation

Usability

* Clear error messages * Context information * Configuration options

* Detailed error descriptions * Line and column information * Configurable rule severity

Performance

* Efficient algorithms * Lazy loading * Caching

* Line-by-line processing * Rules loaded on demand * Cache parsing results

Maintainability

* Clean architecture * SOLID principles * Documentation

* Clear separation of concerns * Single responsibility principle * Comprehensive documentation

Technology Decisions

Technology Decision Rationale

Python

Primary implementation language

* Strong standard library * Great text processing capabilities * Wide adoption in tooling

Regular Expressions

Pattern matching

* Built into Python * Efficient for text processing * Well understood by developers

YAML

Configuration format

* Human readable * Standard format * Good library support

unittest

Testing framework

* Part of Python standard library * Well known to developers * Good IDE support

Implementation Patterns

Diagram