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| """ | |
| Quick validation test for chunked analysis functions. | |
| Run: python test_chunked_analysis.py | |
| """ | |
| import sys | |
| sys.path.insert(0, '/backend') | |
| from server import ( | |
| _determine_chunk_size, | |
| _extract_pages_text, | |
| _normalize_concept_name, | |
| _deduplicate_concepts, | |
| _merge_diagrams, | |
| _synthesize_summary_from_chunks, | |
| _analyze_batch, | |
| _analyze_pdf_legacy, | |
| analyze_pdf | |
| ) | |
| def test_determine_chunk_size(): | |
| assert _determine_chunk_size(5) == 2 | |
| assert _determine_chunk_size(15) == 2 | |
| assert _determine_chunk_size(16) == 3 | |
| assert _determine_chunk_size(30) == 3 | |
| assert _determine_chunk_size(31) == 4 | |
| assert _determine_chunk_size(60) == 4 | |
| def test_normalize_concept_name(): | |
| assert _normalize_concept_name("The Neural Network") == "neural network" | |
| assert _normalize_concept_name(" Backpropagation Algorithm ") == "backpropagation algorithm" | |
| assert _normalize_concept_name("Convolutional NN (CNN)") == "convolutional nn cnn" | |
| assert _normalize_concept_name("A Fast Fourier Transform") == "fast fourier transform" | |
| def test_deduplicate_concepts(): | |
| concepts = [ | |
| {"concept": "Neural Network", "explanation": "A", "code_example": ""}, | |
| {"concept": "neural network", "explanation": "B longer", "code_example": "code"}, | |
| {"concept": "CNN", "explanation": "C", "code_example": ""}, | |
| ] | |
| result = _deduplicate_concepts(concepts) | |
| assert len(result) == 2 | |
| # Should keep longer explanation+code | |
| nn = [c for c in result if "neural" in c["concept"].lower()][0] | |
| assert nn["explanation"] == "B longer" | |
| def test_merge_diagrams(): | |
| diagrams = [ | |
| {"name": "Architecture", "type": "flowchart", "explanation": "Short"}, | |
| {"name": "architecture", "type": "flowchart", "explanation": "Very detailed long"}, | |
| {"name": "Data Flow", "type": "diagram", "explanation": "X"}, | |
| ] | |
| result = _merge_diagrams(diagrams) | |
| assert len(result) == 2 | |
| arch = [d for d in result if d["type"] == "flowchart"][0] | |
| assert arch["explanation"] == "Very detailed long" | |
| def test_synthesize_summary(): | |
| summaries = [ | |
| "Summary batch 1 about methodology.", | |
| "Summary batch 2 about results.", | |
| ] | |
| # Can't test async easily, but function exists | |
| print("_synthesize_summary_from_chunks function OK") | |
| if __name__ == "__main__": | |
| test_determine_chunk_size() | |
| print("[OK] _determine_chunk_size") | |
| test_normalize_concept_name() | |
| print("[OK] _normalize_concept_name") | |
| test_deduplicate_concepts() | |
| print("[OK] _deduplicate_concepts") | |
| test_merge_diagrams() | |
| print("[OK] _merge_diagrams") | |
| test_synthesize_summary() | |
| print("[OK] _synthesize_summary_from_chunks") | |
| print("\nAll unit tests passed!") | |