test_patterns.py

"""
Pattern matching test script for cognitive metrics.

This script validates the core pattern matching functionality,
following British English standards and proper type safety.
"""
import spacy
from pathlib import Path
import sys

def main():
    """Test core pattern matching functionality."""
    print("Testing Pattern Matching")
    print("======================")
    
    try:
        # Load spaCy model
        print("\nLoading NLP model...")
        nlp = spacy.load("en_core_web_sm")
        print("✓ Model loaded successfully")
        
        # Test text with various patterns
        test_text = """
        First, let's examine the evidence. According to recent studies,
        the approach shows promising results. However, we must consider
        some limitations. For example, the sample size was relatively
        small. Therefore, while the data suggests positive outcomes,
        further validation would be beneficial.
        """
        
        # Process text
        print("\nProcessing test text...")
        doc = nlp(test_text)
        print("✓ Text processed successfully")
        
        # Define patterns to test
        patterns = {
            "Logical Steps": [
                "first", "therefore", "while"
            ],
            "Evidence Markers": [
                "according to", "studies", "data suggests"
            ],
            "Counterarguments": [
                "however", "limitations"
            ],
            "Examples": [
                "for example"
            ]
        }
        
        # Test pattern matching
        print("\nTesting patterns:")
        for category, terms in patterns.items():
            print(f"\n{category}:")
            for term in terms:
                found = term.lower() in test_text.lower()
                print(f"- {term}: {'✓' if found else '✗'}")
                if found:
                    # Find the sentence containing the pattern
                    for sent in doc.sents:
                        if term.lower() in sent.text.lower():
                            print(f"  Context: {sent.text.strip()}")
        
        print("\n✓ Pattern matching test completed successfully!")
        
    except Exception as e:
        print(f"\n✗ Error: {e}")
        return

if __name__ == "__main__":
    main()