Refactor Latency #43
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Refactor Latency #43
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…or chunking strategies - Updated `yolo_model_utils.py` to dynamically retrieve the YOLO model path. - Implemented error handling for model loading. - Created `test_chunker.py` to test various chunking strategies across multiple document formats. - Added functionality to auto-download sample documents for testing. - Included tests for fixed-size, paragraph, heading, page, and semantic chunking.
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/claim #2
📊 Test Results
JSON Results:
{ "file": "sample_test.pdf", "format": ".pdf", "strategies": { "fixed": { "status": "success", "chunks": 1, "time": 6.198883056640625e-06 }, "paragraph": { "status": "success", "chunks": 1, "time": 4.887580871582031e-05 }, "heading": { "status": "success", "chunks": 1, "time": 6.175041198730469e-05 }, "page": { "status": "success", "chunks": 1, "time": 0.0016906261444091797 }, "semantic": { "status": "success", "chunks": 0, "time": 2.586862564086914, "pages": 1 } } }✨ Solution
Fix content extraction pipeline to produce actual chunks instead of 0.
🧪 How to Test
Current Test:
python3 test_chunker.py sample_test.pdf # Result: 0 chunksTest with Other Files:
Expected After Fix:
python3 test_chunker.py sample_test.pdf # Result: 2-3 chunks extractedScreencast.from.2025-06-21.16-01-31.webm