python3 -c " import pdfplumber pdf_path = '/home/daytona/workspace/attachments/7f7629f5-4b1d-4a97-aad8-6b724c9f6071/Sharma mohan latest_compressed-compressed (1).pdf' with pdfplumber.open(pdf_path) as pdf: print(f'Total pages: {len(pdf.pages)}') # Search for CNS TB content for i, page in enumerate(pdf.pages): text = page.extract_text() if text and ('tuberculosis' in text.lower() or 'tb' in text.lower() or 'tubercular' in text.lower() or 'tuberculous' in text.lower() or 'cns' in text.lower()): print(f'--- PAGE {i+1} ---') print(text[:500]) print('...') " 2>/dev/null | head -100

python3 -c " import pdfplumber pdf_path = '/home/daytona/workspace/attachments/7f7629f5-4b1d-4a97-aad8-6b724c9f6071/Sharma mohan latest_compressed-compressed (1).pdf' with pdfplumber.open(pdf_path) as pdf: print(f'Total pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages[:20]): text = page.extract_text() if text: print(f'--- PAGE {i+1} ---') print(text[:300]) " 2>/dev/null

python3 -c " import pdfplumber pdf_path = '/home/daytona/workspace/attachments/7f7629f5-4b1d-4a97-aad8-6b724c9f6071/Sharma mohan latest_compressed-compressed (1).pdf' with pdfplumber.open(pdf_path) as pdf: # Find CNS TB chapter for i, page in enumerate(pdf.pages): text = page.extract_text() if text and ('central nervous' in text.lower() or 'cns tuberculosis' in text.lower() or 'tuberculous meningitis' in text.lower() or 'tbm' in text.lower()): print(f'PAGE {i+1}: {text[:200]}') print('---') " 2>/dev/null | head -150

python3 -c " import pdfplumber pdf_path = '/home/daytona/workspace/attachments/7f7629f5-4b1d-4a97-aad8-6b724c9f6071/Sharma mohan latest_compressed-compressed (1).pdf' with pdfplumber.open(pdf_path) as pdf: # Search table of contents for i, page in enumerate(pdf.pages[:30]): text = page.extract_text() if text and ('contents' in text.lower() or 'chapter' in text.lower()): print(f'--- PAGE {i+1} ---') print(text[:1000]) " 2>/dev/null

python3 -c " import pdfplumber pdf_path = '/home/daytona/workspace/attachments/7f7629f5-4b1d-4a97-aad8-6b724c9f6071/Sharma mohan latest_compressed-compressed (1).pdf' with pdfplumber.open(pdf_path) as pdf: # Search contents pages for CNS for i, page in enumerate(pdf.pages[21:30]): text = page.extract_text() if text: print(f'--- PAGE {i+22} ---') print(text) print() " 2>/dev/null

python3 -c " import pdfplumber pdf_path = '/home/daytona/workspace/attachments/7f7629f5-4b1d-4a97-aad8-6b724c9f6071/Sharma mohan latest_compressed-compressed (1).pdf' with pdfplumber.open(pdf_path) as pdf: # Chapter 17 is Neurological Tuberculosis starting at page 230 # PDF page numbers vs actual: need to find the right offset # Let's search pages around 240-270 (PDF pages) for i, page in enumerate(pdf.pages): text = page.extract_text() if text and 'neurological tuberculosis' in text.lower(): print(f'FOUND at PDF page {i+1}') print(text[:200]) print('---') break " 2>/dev/null

python3 << 'EOF' import pdfplumber pdf_path = '/home/daytona/workspace/attachments/7f7629f5-4b1d-4a97-aad8-6b724c9f6071/Sharma mohan latest_compressed-compressed (1).pdf' with pdfplumber.open(pdf_path) as pdf: # Find page with "17" and "Neurological Tuberculosis" as chapter heading for i, page in enumerate(pdf.pages[230:280], start=231): text = page.extract_text() if text and ('neurological tuberculosis' in text.lower() or 'tuberculous meningitis' in text.lower() or 'tuberculoma' in text.lower()): print(f'PDF page {i}:') print(text[:300]) print('---') EOF