python3 -c " import pdfplumber pdf_path = '/home/daytona/workspace/attachments/42cd043b-a8d0-4e41-9fd4-15907265723a/Sharma mohan latest_compressed-compressed (1).pdf' with pdfplumber.open(pdf_path) as pdf: print(f'Total pages: {len(pdf.pages)}') # Search for phenotypic tests pages for i, page in enumerate(pdf.pages): text = page.extract_text() or '' if 'phenotypic' in text.lower() or 'proportion' in text.lower() and 'tuberculosis' in text.lower(): print(f'--- Page {i+1} ---') print(text[:2000]) print() " 2>&1 | head -300

python3 -c " import pdfplumber pdf_path = '/home/daytona/workspace/attachments/42cd043b-a8d0-4e41-9fd4-15907265723a/Sharma mohan latest_compressed-compressed (1).pdf' with pdfplumber.open(pdf_path) as pdf: print(f'Total pages: {len(pdf.pages)}') # Search all pages for phenotypic test content for i, page in enumerate(pdf.pages): text = page.extract_text() or '' keywords = ['phenotypic', 'proportion method', 'bactec', 'lowenstein', 'drug susceptibility', 'dst', 'resistance ratio', 'absolute concentration'] if any(k in text.lower() for k in keywords): print(f'--- Page {i+1} ---') print(text[:3000]) print() " 2>&1 | head -500

python3 -c " import pdfplumber pdf_path = '/home/daytona/workspace/attachments/42cd043b-a8d0-4e41-9fd4-15907265723a/Sharma mohan latest_compressed-compressed (1).pdf' with pdfplumber.open(pdf_path) as pdf: print(f'Total pages: {len(pdf.pages)}') # Search broadly for i, page in enumerate(pdf.pages): text = page.extract_text() or '' keywords = ['phenotypic', 'proportion', 'bactec', 'lowenstein', 'drug susceptibility', 'resistance ratio', 'absolute concentration', 'critical concentration', 'mgit', 'middlebrook', 'mycobact'] if any(k in text.lower() for k in keywords): print(f'--- Page {i+1} ---') print(text[:4000]) print() " 2>&1

python3 -c " import pdfplumber pdf_path = '/home/daytona/workspace/attachments/42cd043b-a8d0-4e41-9fd4-15907265723a/Sharma mohan latest_compressed-compressed (1).pdf' with pdfplumber.open(pdf_path) as pdf: # Search chapter 8 - Laboratory Diagnosis for i, page in enumerate(pdf.pages): text = page.extract_text() or '' if 'laboratory diagnosis' in text.lower() and ('chapter 8' in text.lower() or 'chapter eight' in text.lower() or ('8.' in text and 'laborat' in text.lower())): print(f'--- Page {i+1} ---') print(text[:3000]) print() if i > 150: break " 2>&1 | head -200

python3 -c " import pdfplumber pdf_path = '/home/daytona/workspace/attachments/42cd043b-a8d0-4e41-9fd4-15907265723a/Sharma mohan latest_compressed-compressed (1).pdf' with pdfplumber.open(pdf_path) as pdf: # Pages 106-115 cover Chapter 8 lab diagnosis based on TOC for i in range(105, 145): text = pdf.pages[i].extract_text() or '' if text.strip(): print(f'--- Page {i+1} (PDF page) ---') print(text[:3000]) print() " 2>&1 | head -500

python3 -c " import pdfplumber pdf_path = '/home/daytona/workspace/attachments/42cd043b-a8d0-4e41-9fd4-15907265723a/Sharma mohan latest_compressed-compressed (1).pdf' with pdfplumber.open(pdf_path) as pdf: # Find 'Laboratory Diagnosis' chapter start for i, page in enumerate(pdf.pages): text = page.extract_text() or '' if 'laboratory diagnosis' in text.lower() and ('best practices' in text.lower() or 'current policies' in text.lower() or 'madhukar pai' in text.lower()): print(f'FOUND: Page {i+1}') print(text[:3000]) break " 2>&1

python3 -c " import pdfplumber pdf_path = '/home/daytona/workspace/attachments/42cd043b-a8d0-4e41-9fd4-15907265723a/Sharma mohan latest_compressed-compressed (1).pdf' with pdfplumber.open(pdf_path) as pdf: # Scan pages 125-170 for DST content for i in range(124, 180): text = pdf.pages[i].extract_text() or '' kws = ['drug susceptibility', 'dst', 'proportion method', 'resistance ratio', 'absolute concentration', 'drug resistance', 'phenotypic'] if any(k in text.lower() for k in kws): print(f'--- Page {i+1} ---') print(text[:4000]) print() " 2>&1 | head -500

python3 -c " import pdfplumber pdf_path = '/home/daytona/workspace/attachments/42cd043b-a8d0-4e41-9fd4-15907265723a/Sharma mohan latest_compressed-compressed (1).pdf' with pdfplumber.open(pdf_path) as pdf: # Drug-resistant TB starts at page 579 per TOC # Look for pages 579-650 range for phenotypic DST for i in range(595, 660): text = pdf.pages[i].extract_text() or '' kws = ['phenotypic', 'proportion', 'resistance ratio', 'absolute concentration', 'drug susceptibility test', 'bactec', 'mgit', 'critical concentration', 'lowenstein'] if any(k in text.lower() for k in kws): print(f'--- Page {i+1} (book page approx) ---') print(text[:4000]) print() " 2>&1 | head -600

python3 -c " import pdfplumber pdf_path = '/home/daytona/workspace/attachments/42cd043b-a8d0-4e41-9fd4-15907265723a/Sharma mohan latest_compressed-compressed (1).pdf' with pdfplumber.open(pdf_path) as pdf: # Pages 634-660 - Chapter 43 DST details for i in range(633, 658): text = pdf.pages[i].extract_text() or '' if text.strip(): print(f'--- Page {i+1} ---') print(text[:4000]) print() " 2>&1 | head -600