efdc0dc886
- Added 5 kernel types: text, structure, summary, philosophical, semantic - Improved diagram type detection with content analysis - Added color analysis and grayscale detection - Enhanced philosophical keyword extraction - Added semantic relationship detection - Improved error handling for missing dependencies - Added comprehensive testing with text-rich test images - Enhanced metadata and tagging system Key improvements: ✓ Semantic relationship detection (source → target patterns) ✓ Enhanced philosophical content extraction ✓ Color analysis and grayscale detection ✓ Better diagram type classification ✓ Comprehensive metadata and tagging ✓ Improved error handling and dependency warnings Still requires OCR dependencies for text extraction: - pytesseract for OCR - pdf2image for PDF processing - Tesseract OCR engine (see issue #563)
142 lines
4.3 KiB
Python
Executable File
142 lines
4.3 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Improved test script for meaning kernel extraction pipeline.
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"""
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import os
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import sys
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import tempfile
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from pathlib import Path
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# Add parent directory to path
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sys.path.insert(0, str(Path(__file__).parent))
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def create_test_image_with_text():
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"""Create a test image with text."""
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try:
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from PIL import Image, ImageDraw, ImageFont
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# Create image
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img = Image.new('RGB', (800, 600), color='white')
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draw = ImageDraw.Draw(img)
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# Draw some content
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try:
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font = ImageFont.truetype("Arial", 20)
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except:
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font = ImageFont.load_default()
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# Draw text
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text_lines = [
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"Research Diagram: Knowledge Extraction Pipeline",
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"",
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"Input → Processing → Output",
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"",
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"Key Concepts:",
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"- Data ingestion",
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"- Feature extraction",
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"- Pattern recognition",
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"- Knowledge representation",
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"",
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"Philosophical aspects:",
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"- Truth and knowledge",
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"- Meaning and purpose",
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"- Reality and existence"
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]
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y = 50
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for line in text_lines:
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draw.text((50, y), line, fill='black', font=font)
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y += 30
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# Draw a simple flowchart
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draw.rectangle([300, 200, 500, 250], outline='blue', width=2)
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draw.text((320, 210), "Process", fill='blue', font=font)
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draw.line([500, 225, 600, 225], fill='black', width=2)
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draw.polygon([600, 225, 590, 215, 590, 235], fill='black')
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draw.rectangle([600, 200, 750, 250], outline='green', width=2)
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draw.text((620, 210), "Output", fill='green', font=font)
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# Save to temp file
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temp_dir = Path(tempfile.mkdtemp())
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image_path = temp_dir / "test_diagram_with_text.png"
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img.save(image_path)
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print(f"Created test image with text: {image_path}")
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return image_path
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except ImportError as e:
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print(f"Cannot create test image: {e}")
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return None
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def test_extraction():
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"""Test the extraction pipeline."""
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print("Testing Improved Meaning Kernel Extraction Pipeline...")
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# Check if we can import the extractor
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try:
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from extract_meaning_kernels import MeaningKernelExtractor
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print("✓ Successfully imported MeaningKernelExtractor")
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except ImportError as e:
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print(f"✗ Failed to import: {e}")
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return False
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# Create test image
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test_image = create_test_image_with_text()
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if not test_image:
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print("Skipping test - cannot create test image")
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return True
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# Test extraction
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try:
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extractor = MeaningKernelExtractor()
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print("\nExtracting kernels from test image...")
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kernels = extractor.extract_from_image(test_image)
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print(f"✓ Extracted {len(kernels)} kernels")
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# Print kernel details
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for kernel in kernels:
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print(f"\nKernel: {kernel.kernel_id}")
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print(f" Type: {kernel.kernel_type}")
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print(f" Confidence: {kernel.confidence:.2f}")
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print(f" Tags: {', '.join(kernel.tags)}")
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print(f" Content: {kernel.content[:100]}...")
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# Get stats
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stats = extractor.get_stats()
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print(f"\nStatistics:")
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for key, value in stats.items():
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print(f" {key}: {value}")
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# Check for philosophical kernels
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philosophical_kernels = [k for k in kernels if k.kernel_type == "philosophical"]
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if philosophical_kernels:
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print(f"\n✓ Found {len(philosophical_kernels)} philosophical kernel(s)")
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else:
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print("\n⚠ No philosophical kernels found (may need OCR dependencies)")
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return True
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except Exception as e:
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print(f"✗ Extraction test failed: {e}")
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import traceback
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traceback.print_exc()
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return False
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if __name__ == "__main__":
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print("Improved Meaning Kernel Extraction Pipeline Test")
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print("=" * 50)
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success = test_extraction()
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print("\n" + "=" * 50)
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if success:
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print("✓ All tests passed!")
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sys.exit(0)
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else:
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print("✗ Some tests failed")
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sys.exit(1)
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