Notes

I'll read the PDF skill first, then extract the content from your attached file.
Reading File
Running Command

cd /home/daytona/workspace/attachments/fab5a688-ef74-4f3d-94a0-00a12d658fa0 && python3 -c " import pdfplumber with pdfplumber.open('Git patho2.pdf') as pdf: print(f'Total pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): text = page.extract_text() if text: print(f'--- PAGE {i+1} ---') print(text) print() "

The PDF appears to be image-based (scanned). Let me use OCR to extract the content.
Running Command

cd /home/daytona/workspace/attachments/fab5a688-ef74-4f3d-94a0-00a12d658fa0 && python3 -c " import pdfplumber from PIL import Image import pytesseract import io with pdfplumber.open('Git patho2.pdf') as pdf: print(f'Total pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages[:5]): # Try getting images imgs = page.images print(f'Page {i+1}: {len(imgs)} images') # Try converting page to image img = page.to_image(resolution=200) img_pil = img.original text = pytesseract.image_to_string(img_pil) print(f'--- PAGE {i+1} ---') print(text[:500]) print() "

OCR is working. Let me extract all 24 pages fully.
Running Command

cd /home/daytona/workspace/attachments/fab5a688-ef74-4f3d-94a0-00a12d658fa0 && python3 -c " import pdfplumber import pytesseract all_text = [] with pdfplumber.open('Git patho2.pdf') as pdf: for i, page in enumerate(pdf.pages): img = page.to_image(resolution=200) text = pytesseract.image_to_string(img.original) all_text.append(f'=== PAGE {i+1} ===\n{text}') full = '\n\n'.join(all_text) with open('/home/daytona/workspace/patho2_full.txt', 'w') as f: f.write(full) print('Done. Total chars:', len(full)) "

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