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Configuration error
Configuration error
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253246d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | import os
import shutil
from backend import SemanticAnalyzer
def create_dummy_files():
if os.path.exists("test_data"):
shutil.rmtree("test_data")
os.makedirs("test_data")
# File A
with open("test_data/doc_a.txt", "w") as f:
f.write("The software release is scheduled for Q3 2024.\n")
f.write("Machine learning models require vast amounts of data.\n")
f.write("This is a generic statement about AI capabilities.\n")
# File B
with open("test_data/doc_b.txt", "w") as f:
f.write("The software release is strictly scheduled for Q4 2025.\n") # Contradiction
f.write("Machine learning models require vast amounts of data.\n") # Duplicate
f.write("AI generates images from text prompts.\n") # Unrelated
def run_test():
create_dummy_files()
files = ["test_data/doc_a.txt", "test_data/doc_b.txt"]
print("Initializing Analyzer...")
analyzer = SemanticAnalyzer()
print("Analyzing...")
results = analyzer.analyze_documents(files)
print("\n=== RESULTS ===")
print(f"Duplicates found: {len(results['duplicates'])}")
for d in results['duplicates']:
print(f" [Match] ({d['score']:.4f})")
print(f" A: {d['chunk_a']['text']}")
print(f" B: {d['chunk_b']['text']}")
print(f"\nContradictions found: {len(results['contradictions'])}")
for c in results['contradictions']:
print(f" [Conflict] (Conf: {c['confidence']:.4f})")
print(f" A: {c['chunk_a']['text']}")
print(f" B: {c['chunk_b']['text']}")
# Validation logic
has_dup = any("vast amounts of data" in d['chunk_a']['text'] for d in results['duplicates'])
has_contra = any("software release" in c['chunk_a']['text'] for c in results['contradictions'])
if has_dup and has_contra:
print("\n✅ VERIFICATION PASSED: Core logic works.")
else:
print("\n❌ VERIFICATION FAILED: Missing expected detections.")
if __name__ == "__main__":
run_test()
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