python3 << 'EOF' import pdfplumber with pdfplumber.open("/tmp/workspace/attachments/3593a36e-20c3-4bc4-ba5f-c6bb0d4c55e7/Lipid and Dysipioprotenemia.pdf") as pdf: print(f"Total pages: {len(pdf.pages)}") full_text = "" for i, page in enumerate(pdf.pages): text = page.extract_text() if text: full_text += f"\n\n--- PAGE {i+1} ---\n{text}" print(full_text[:8000]) EOF

python3 << 'EOF' import pdfplumber with pdfplumber.open("/tmp/workspace/attachments/3593a36e-20c3-4bc4-ba5f-c6bb0d4c55e7/Lipid and Dysipioprotenemia.pdf") as pdf: full_text = "" for i, page in enumerate(pdf.pages): text = page.extract_text() if text: full_text += f"\n\n--- PAGE {i+1} ---\n{text}" # Save to file with open("/tmp/workspace/lipid_text.txt", "w") as f: f.write(full_text) print(f"Total characters: {len(full_text)}") print("First 10000 chars:") print(full_text[:10000]) EOF

python3 << 'EOF' from pypdf import PdfReader reader = PdfReader("/tmp/workspace/attachments/3593a36e-20c3-4bc4-ba5f-c6bb0d4c55e7/Lipid and Dysipioprotenemia.pdf") print(f"Pages: {len(reader.pages)}") for i, page in enumerate(reader.pages[:5]): text = page.extract_text() print(f"Page {i+1}: {repr(text[:300]) if text else 'NO TEXT'}") EOF

python3 << 'EOF' # Convert PDF pages to images using PIL/pypdf for vision analysis import subprocess import os # Check what image tools are available result = subprocess.run(['python3', '-c', 'import fitz; print("fitz available")'], capture_output=True, text=True) print("fitz:", result.stdout, result.stderr) result2 = subprocess.run(['python3', '-c', 'from pdf2image import convert_from_path; print("pdf2image available")'], capture_output=True, text=True) print("pdf2image:", result2.stdout, result2.stderr) result3 = subprocess.run(['python3', '-c', 'import pypdf; print(pypdf.__version__)'], capture_output=True, text=True) print("pypdf:", result3.stdout, result3.stderr) EOF

python3 << 'EOF' from pdf2image import convert_from_path import os pdf_path = "/tmp/workspace/attachments/3593a36e-20c3-4bc4-ba5f-c6bb0d4c55e7/Lipid and Dysipioprotenemia.pdf" output_dir = "/tmp/workspace/lipid_pages" os.makedirs(output_dir, exist_ok=True) # Convert first 10 pages to images images = convert_from_path(pdf_path, dpi=150, first_page=1, last_page=10) for i, img in enumerate(images): img.save(f"{output_dir}/page_{i+1:02d}.jpg", "JPEG", quality=85) print(f"Saved page {i+1}") print("Done converting first 10 pages") EOF

python3 << 'EOF' # Try using markitdown to extract text from the PDF import subprocess result = subprocess.run(['python3', '-c', 'from markitdown import MarkItDown; md = MarkItDown(); result = md.convert("/tmp/workspace/attachments/3593a36e-20c3-4bc4-ba5f-c6bb0d4c55e7/Lipid and Dysipioprotenemia.pdf"); print(result.text_content[:5000])'], capture_output=True, text=True, timeout=60) print("STDOUT:", result.stdout[:3000]) print("STDERR:", result.stderr[:1000]) EOF

python3 << 'EOF' # Try pytesseract for OCR on the converted images import subprocess # Check if tesseract/pytesseract is available r = subprocess.run(['python3', '-c', 'import pytesseract; print("pytesseract OK"); import PIL; print("PIL OK")'], capture_output=True, text=True) print(r.stdout, r.stderr) # Check tesseract binary r2 = subprocess.run(['which', 'tesseract'], capture_output=True, text=True) print("tesseract binary:", r2.stdout, r2.stderr) EOF