cd /tmp/workspace/attachments/bd9fc7ae-ff0d-433d-b67c-1aaf81ddb46a && python3 -c " import pdfplumber with pdfplumber.open('biomechanics-1.pdf') as pdf: print(f'Total pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): text = page.extract_text() print(f'\n===== PAGE {i+1} =====') print(text) " 2>&1 | head -500

python3 -c " from pypdf import PdfReader reader = PdfReader('/tmp/workspace/attachments/bd9fc7ae-ff0d-433d-b67c-1aaf81ddb46a/biomechanics-1.pdf') print(f'Pages: {len(reader.pages)}') for i, page in enumerate(reader.pages): text = page.extract_text() print(f'\n=== PAGE {i+1} ===') print(repr(text[:500]) if text else '[EMPTY]') "

python3 -c " from pypdf import PdfReader, PdfWriter import os reader = PdfReader('/tmp/workspace/attachments/bd9fc7ae-ff0d-433d-b67c-1aaf81ddb46a/biomechanics-1.pdf') print('Num pages:', len(reader.pages)) # Try to extract images from each page for i, page in enumerate(reader.pages): images = page.images print(f'Page {i+1}: {len(images)} images') for j, img in enumerate(images): name = f'/tmp/workspace/bio_page{i+1}_img{j+1}.{img.name.split(\".\")[-1]}' with open(name, 'wb') as f: f.write(img.data) print(f' Saved: {name} ({len(img.data)} bytes)') "

cd /tmp/workspace && python3 -m http.server 8765 &>/tmp/http_server.log & sleep 1 echo "Server started, PID: $!" curl -s -o /dev/null -w "%{http_code}" http://localhost:8765/bio_page1_img1.jpg

python3 -c " import pytesseract from PIL import Image pages_text = {} for i in range(1, 9): try: img = Image.open(f'/tmp/workspace/bio_page{i}_img1.jpg') text = pytesseract.image_to_string(img) pages_text[i] = text print(f'=== PAGE {i} ===') print(text[:2000]) print() except Exception as e: print(f'Page {i} error: {e}') " 2>&1

pip install --user pytesseract 2>&1 | tail -3 && python3 -c "import pytesseract; print('ok')"

python3 -c " import pytesseract from PIL import Image for i in range(1, 9): try: img = Image.open(f'/tmp/workspace/bio_page{i}_img1.jpg') text = pytesseract.image_to_string(img) print(f'=== PAGE {i} ===') print(text) print() except Exception as e: print(f'Page {i} error: {e}') " 2>&1

# Try to use easyocr or markitdown to extract text from the PDF python3 -c "from markitdown import MarkItDown; md = MarkItDown(); result = md.convert('/tmp/workspace/attachments/bd9fc7ae-ff0d-433d-b67c-1aaf81ddb46a/biomechanics-1.pdf'); print(result.text_content[:5000])" 2>&1

# Try easyocr python3 -c " import easyocr reader = easyocr.Reader(['en'], gpu=False) result = reader.readtext('/tmp/workspace/bio_page1_img1.jpg', detail=0, paragraph=True) print('\n'.join(result)) " 2>&1 | head -100

# Let's try using the vision model through base64-encoded images in the PDF reader # First, let me check what image metadata looks like and try to get the images as base64 for direct viewing python3 -c " from PIL import Image import base64, io # Check image dimensions and quality for i in range(1, 9): img = Image.open(f'/tmp/workspace/bio_page{i}_img1.jpg') print(f'Page {i}: {img.size} mode={img.mode}') "

# Use PIL to enhance contrast and try to get readable text using CV2/numpy-based approach # Also let's try to use the file:// URL directly python3 -c " import base64 # Convert images to base64 and save as data URIs for potential use with open('/tmp/workspace/bio_page1_img1.jpg', 'rb') as f: data = f.read() print(f'Image size: {len(data)} bytes') # Check if image is readable from PIL import Image img = Image.open('/tmp/workspace/bio_page1_img1.jpg') # Crop to top portion to see the header top = img.crop((0, 0, 1600, 800)) top.save('/tmp/workspace/bio_page1_top.jpg', quality=95) bottom = img.crop((0, 800, 1600, 2560)) bottom.save('/tmp/workspace/bio_page1_bottom.jpg', quality=95) print('Saved cropped images') "