#!/usr/bin/env python3
"""
Verification script to demonstrate the test suite structure and coverage
"""
import sys
import os
sys.path.append(os.path.dirname(os.path.abspath(__file__)))
from tests.test_reranking_metadata_preservation import (
TestDataFactory,
TestRerankItemDataclass,
TestRerankResultDataclass,
TestTFIDFReranker,
TestCohereReranker,
TestCrossEncoderReranker,
TestHybridReranker,
TestRerankerFactory,
TestEdgeCasesAndErrors,
TestMetadataConsistency
)
def main():
print("Reranking Metadata Preservation Test Suite")
print("=" * 60)
print("\nTest Classes:")
print("-" * 40)
test_classes = [
TestDataFactory,
TestRerankItemDataclass,
TestRerankResultDataclass,
TestTFIDFReranker,
TestCohereReranker,
TestCrossEncoderReranker,
TestHybridReranker,
TestRerankerFactory,
TestEdgeCasesAndErrors,
TestMetadataConsistency
]
for i, cls in enumerate(test_classes, 1):
print(f"{i}. {cls.__name__}")
if hasattr(cls, '__doc__') and cls.__doc__:
print(f" {cls.__doc__.strip()}")
print("\n" + "=" * 60)
print("\nKey Test Coverage Areas:")
print("-" * 40)
coverage_areas = [
"✓ RerankItem dataclass preserves complete SearchResult",
"✓ RerankResult dataclass structure validation",
"✓ TF-IDF reranker metadata preservation",
"✓ Cohere API reranker metadata preservation",
"✓ Cross-Encoder reranker metadata preservation",
"✓ Hybrid reranker with primary/fallback scenarios",
"✓ Caching preserves metadata correctly",
"✓ Edge cases: Unicode, special characters, long paths",
"✓ Zero values and None context handling",
"✓ Large dataset performance (1000+ results)",
"✓ Multiple reranking operations maintain original data",
"✓ Original results remain immutable"
]
for area in coverage_areas:
print(f" {area}")
print("\n" + "=" * 60)
print("\nMetadata Fields Verified:")
print("-" * 40)
fields = [
"file_path - Full path to the file",
"line - Line number in the file",
"column - Column position in the line",
"snippet - Code snippet or text excerpt",
"match_type - Type of match (exact/fuzzy/semantic)",
"score - Original search score",
"context - Surrounding context text"
]
for field in fields:
print(f" • {field}")
print("\n" + "=" * 60)
print("\nExample Test Data:")
print("-" * 40)
# Create and display sample test data
sample_results = TestDataFactory.create_search_results(2)
for i, result in enumerate(sample_results):
print(f"\nSample SearchResult {i+1}:")
print(f" file_path: {result.file_path}")
print(f" line: {result.line}")
print(f" column: {result.column}")
print(f" match_type: {result.match_type}")
print(f" score: {result.score}")
print(f" snippet: {result.snippet[:50]}...")
print(f" context: {result.context[:50]}...")
print("\n" + "=" * 60)
print("\nTo run the full test suite:")
print(" python run_reranking_tests.py")
print(" OR")
print(" pytest tests/test_reranking_metadata_preservation.py -v")
print("\n")
if __name__ == "__main__":
main()
