python3 << 'EOF' import pdfplumber # Extract TFO Periobasic content path = "/home/daytona/workspace/attachments/af6bbf4d-8935-4d6a-8edd-9188a1941135/TFO Periobasic.pdf" with pdfplumber.open(path) as pdf: print(f"Total pages: {len(pdf.pages)}") # Find pages with TFO content for i, page in enumerate(pdf.pages[:10]): text = page.extract_text() if text: print(f"\n--- PAGE {i+1} ---") print(text[:2000]) EOF

python3 << 'EOF' import pdfplumber # Search Newman 14th for trauma from occlusion path = "/home/daytona/workspace/attachments/af6bbf4d-8935-4d6a-8edd-9188a1941135/14 th ed Newman_and_Carranza's_Clinical_Periodontology_and_Implantology,.pdf" with pdfplumber.open(path) as pdf: print(f"Total pages: {len(pdf.pages)}") # Search for trauma from occlusion pages for i, page in enumerate(pdf.pages): text = page.extract_text() if text and ('trauma from occlusion' in text.lower() or 'traumatic occlusion' in text.lower() or 'occlusal trauma' in text.lower()): print(f"\n--- PAGE {i+1} ---") print(text[:3000]) if i > 5: # Limit initial search break EOF

python3 << 'EOF' import pdfplumber # Extract ALL pages from TFO Periobasic path = "/home/daytona/workspace/attachments/af6bbf4d-8935-4d6a-8edd-9188a1941135/TFO Periobasic.pdf" with pdfplumber.open(path) as pdf: for i, page in enumerate(pdf.pages[3:14]): # Pages 4-14 text = page.extract_text() if text: print(f"\n=== PAGE {i+4} ===") print(text[:3500]) EOF

python3 << 'EOF' import pdfplumber # Search Carranza 10th for trauma from occlusion path = "/home/daytona/workspace/attachments/af6bbf4d-8935-4d6a-8edd-9188a1941135/Carranza's Clinical Periodontology, 10th Edition.pdf" with pdfplumber.open(path) as pdf: print(f"Total pages: {len(pdf.pages)}") found_pages = [] for i, page in enumerate(pdf.pages): text = page.extract_text() if text and ('trauma from occlusion' in text.lower() or 'occlusal trauma' in text.lower()): found_pages.append(i+1) print(f"Pages with TFO content: {found_pages[:20]}") # Extract first several matching pages for pg in found_pages[:6]: text = pdf.pages[pg-1].extract_text() print(f"\n=== PAGE {pg} ===") print(text[:3000]) EOF

python3 << 'EOF' import pdfplumber # Search Lindhe 5th for trauma from occlusion path = "/home/daytona/workspace/attachments/af6bbf4d-8935-4d6a-8edd-9188a1941135/lindhe 5th edition (2).pdf" with pdfplumber.open(path) as pdf: print(f"Total pages: {len(pdf.pages)}") found_pages = [] for i, page in enumerate(pdf.pages): text = page.extract_text() if text and ('trauma from occlusion' in text.lower() or 'occlusal trauma' in text.lower() or 'traumatic occlusion' in text.lower()): found_pages.append(i+1) print(f"Pages with TFO content: {found_pages[:20]}") for pg in found_pages[:6]: text = pdf.pages[pg-1].extract_text() print(f"\n=== PAGE {pg} ===") print(text[:3000]) EOF

python3 << 'EOF' import pdfplumber # Get more from Carranza 10th - stages, tissue changes, etiopathogenesis path = "/home/daytona/workspace/attachments/af6bbf4d-8935-4d6a-8edd-9188a1941135/Carranza's Clinical Periodontology, 10th Edition.pdf" with pdfplumber.open(path) as pdf: for pg in [5, 6, 7, 8, 9, 10, 11, 12, 13]: text = pdf.pages[pg-1].extract_text() if text: print(f"\n=== PAGE {pg} ===") print(text[:3000]) EOF

python3 << 'EOF' import pdfplumber # Get Rose/Genco content on TFO path = "/home/daytona/workspace/attachments/af6bbf4d-8935-4d6a-8edd-9188a1941135/PERIODONTICS_Medicine_Rose_Genco.pdf" with pdfplumber.open(path) as pdf: print(f"Total pages: {len(pdf.pages)}") found_pages = [] for i, page in enumerate(pdf.pages): text = page.extract_text() if text and ('trauma from occlusion' in text.lower() or 'occlusal trauma' in text.lower()): found_pages.append(i+1) print(f"Pages with TFO content: {found_pages[:20]}") for pg in found_pages[:8]: text = pdf.pages[pg-1].extract_text() print(f"\n=== PAGE {pg} ===") print(text[:2500]) EOF

python3 << 'EOF' import pdfplumber # Get more Lindhe 5th content - animal experiments and jiggling forces path = "/home/daytona/workspace/attachments/af6bbf4d-8935-4d6a-8edd-9188a1941135/lindhe 5th edition (2).pdf" with pdfplumber.open(path) as pdf: for pg in [6, 7, 8, 9, 10, 11, 12, 13, 14, 15]: text = pdf.pages[pg-1].extract_text() if text: print(f"\n=== PAGE {pg} ===") print(text[:2500]) EOF

python3 << 'EOF' import pdfplumber # Get Newman 14th content on TFO - search the full PDF path = "/home/daytona/workspace/attachments/af6bbf4d-8935-4d6a-8edd-9188a1941135/14 th ed Newman_and_Carranza's_Clinical_Periodontology_and_Implantology,.pdf" with pdfplumber.open(path) as pdf: print(f"Total pages: {len(pdf.pages)}") # Extract all pages for i, page in enumerate(pdf.pages): text = page.extract_text() if text: print(f"\n=== PAGE {i+1} ===") print(text[:3500]) EOF

python3 << 'EOF' import pdfplumber # Get TFO Periobasic - classification specifically path = "/home/daytona/workspace/attachments/af6bbf4d-8935-4d6a-8edd-9188a1941135/TFO Periobasic.pdf" with pdfplumber.open(path) as pdf: # Get pages 1-3 for definition and classification for i in [0, 1, 2]: text = pdf.pages[i].extract_text() if text: print(f"\n=== PAGE {i+1} ===") print(text[:4000]) EOF