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mkdir -p /tmp/workspace/dental-pdfs

cat << 'PYEOF' > /tmp/workspace/dental-pdfs/create_pdfs.py from reportlab.lib.pagesizes import A4 from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.units import cm from reportlab.lib import colors from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle, HRFlowable from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY def make_styles(): styles = getSampleStyleSheet() title_style = ParagraphStyle('CustomTitle', parent=styles['Title'], fontSize=22, textColor=colors.HexColor('#1a3a5c'), spaceAfter=6, fontName='Helvetica-Bold', alignment=TA_CENTER) subtitle_style = ParagraphStyle('Subtitle', parent=styles['Normal'], fontSize=12, textColor=colors.HexColor('#2e86ab'), spaceAfter=12, fontName='Helvetica', alignment=TA_CENTER) heading_style = ParagraphStyle('Heading', parent=styles['Heading2'], fontSize=14, textColor=colors.white, spaceAfter=4, spaceBefore=14, fontName='Helvetica-Bold', backColor=colors.HexColor('#1a3a5c'), leftIndent=-10, rightIndent=-10, leading=20) subheading_style = ParagraphStyle('SubHeading', parent=styles['Heading3'], fontSize=12, textColor=colors.HexColor('#1a3a5c'), spaceAfter=4, spaceBefore=8, fontName='Helvetica-Bold') body_style = ParagraphStyle('Body', parent=styles['Normal'], fontSize=10, spaceAfter=5, leading=15, alignment=TA_JUSTIFY, fontName='Helvetica') bullet_style = ParagraphStyle('Bullet', parent=styles['Normal'], fontSize=10, spaceAfter=3, leading=14, leftIndent=15, bulletIndent=5, fontName='Helvetica') return title_style, subtitle_style, heading_style, subheading_style, body_style, bullet_style # ───────────────────────────────────────────── # PDF 1 – ORAL SURGERY # ───────────────────────────────────────────── def create_oral_surgery(): doc = SimpleDocTemplate('/tmp/workspace/dental-pdfs/01_Oral_Surgery.pdf', pagesize=A4, topMargin=2*cm, bottomMargin=2*cm, leftMargin=2*cm, rightMargin=2*cm) T, S, H, SH, B, BL = make_styles() story = [] story.append(Paragraph("ORAL & MAXILLOFACIAL SURGERY", T)) story.append(Paragraph("Key Concepts for TN MRB Dental Examination", S)) story.append(HRFlowable(width="100%", thickness=2, color=colors.HexColor('#2e86ab'))) story.append(Spacer(1, 12)) # Section 1 story.append(Paragraph(" 1. LOCAL ANAESTHESIA IN DENTISTRY ", H)) story.append(Paragraph("Types of Local Anaesthetic Agents", SH)) data = [ ['Agent', 'Concentration', 'Duration', 'Max Dose'], ['Lidocaine (Lignocaine)', '2%', '60-90 min', '4.4 mg/kg'], ['Bupivacaine', '0.5%', '180-360 min', '1.3 mg/kg'], ['Mepivacaine', '3%', '45-90 min', '4.4 mg/kg'], ['Prilocaine', '4%', '60-90 min', '6 mg/kg'], ['Articaine', '4%', '60-75 min', '7 mg/kg'], ] t = Table(data, colWidths=[4.5*cm, 3*cm, 3.5*cm, 3*cm]) t.setStyle(TableStyle([ ('BACKGROUND', (0,0), (-1,0), colors.HexColor('#1a3a5c')), ('TEXTCOLOR', (0,0), (-1,0), colors.white), ('FONTNAME', (0,0), (-1,0), 'Helvetica-Bold'), ('FONTSIZE', (0,0), (-1,-1), 9), ('ROWBACKGROUNDS', (0,1), (-1,-1), [colors.HexColor('#eaf4fb'), colors.white]), ('GRID', (0,0), (-1,-1), 0.5, colors.HexColor('#aacce4')), ('ALIGN', (0,0), (-1,-1), 'CENTER'), ('VALIGN', (0,0), (-1,-1), 'MIDDLE'), ('ROWHEIGHT', (0,0), (-1,-1), 18), ])) story.append(t) story.append(Spacer(1, 8)) story.append(Paragraph("Inferior Alveolar Nerve Block (IANB)", SH)) for pt in [ "Most commonly used nerve block in mandible", "Landmarks: Pterygomandibular raphe, coronoid notch, occlusal plane of mandibular teeth", "Needle inserted 1 cm above occlusal plane at medial side of ramus", "Nerves anaesthetised: Inferior alveolar, mental, incisive, lingual (if tongue touched)", "Failure rate: approximately 15-20% due to accessory innervation", "Accessory nerve: Nerve to mylohyoid (most common cause of IANB failure)", ]: story.append(Paragraph(f"• {pt}", BL)) story.append(Spacer(1, 6)) story.append(Paragraph("Complications of Local Anaesthesia", SH)) complications = [ ['Local Complications', 'Systemic Complications'], ['Needle breakage', 'Syncope (most common systemic complication)'], ['Haematoma', 'Allergic reaction'], ['Trismus', 'Toxicity/Overdose'], ['Facial nerve palsy', 'Methemoglobinemia (Prilocaine)'], ['Paraesthesia', 'Tachycardia (Epinephrine excess)'], ] tc = Table(complications, colWidths=[8*cm, 8*cm]) tc.setStyle(TableStyle([ ('BACKGROUND', (0,0), (-1,0), colors.HexColor('#2e86ab')), ('TEXTCOLOR', (0,0), (-1,0), colors.white), ('FONTNAME', (0,0), (-1,0), 'Helvetica-Bold'), ('FONTSIZE', (0,0), (-1,-1), 9), ('ROWBACKGROUNDS', (0,1), (-1,-1), [colors.HexColor('#eaf4fb'), colors.white]), ('GRID', (0,0), (-1,-1), 0.5, colors.HexColor('#aacce4')), ('ALIGN', (0,0), (-1,-1), 'LEFT'), ('VALIGN', (0,0), (-1,-1), 'MIDDLE'), ('LEFTPADDING', (0,0), (-1,-1), 8), ('ROWHEIGHT', (0,0), (-1,-1), 18), ])) story.append(tc) story.append(Spacer(1, 8)) # Section 2 story.append(Paragraph(" 2. TOOTH EXTRACTION ", H)) story.append(Paragraph("Principles of Extraction", SH)) for pt in [ "Expansion of socket using elevators and forceps", "Luxation: Periodontal ligament fibres are torn by rocking movements", "Extraction forces: Apical pressure, buccal-lingual movement, rotation (only for single-rooted teeth)", "Forceps applied below height of contour, parallel to long axis of tooth", ]: story.append(Paragraph(f"• {pt}", BL)) story.append(Paragraph("Contraindications to Extraction", SH)) contra = [ ['Absolute', 'Relative'], ['No absolute contraindications', 'Uncontrolled diabetes (BGL >200 mg/dL)'], ['', 'Bleeding disorders (INR >3.5)'], ['', 'Recent MI (within 6 months)'], ['', 'Bisphosphonate therapy (BRONJ risk)'], ['', 'Radiation therapy to jaws'], ['', 'Pregnancy (1st & 3rd trimester - avoid)'], ] tc2 = Table(contra, colWidths=[8*cm, 8*cm]) tc2.setStyle(TableStyle([ ('BACKGROUND', (0,0), (-1,0), colors.HexColor('#2e86ab')), ('TEXTCOLOR', (0,0), (-1,0), colors.white), ('FONTNAME', (0,0), (-1,0), 'Helvetica-Bold'), ('FONTSIZE', (0,0), (-1,-1), 9), ('ROWBACKGROUNDS', (0,1), (-1,-1), [colors.HexColor('#eaf4fb'), colors.white]), ('GRID', (0,0), (-1,-1), 0.5, colors.HexColor('#aacce4')), ('ALIGN', (0,0), (-1,-1), 'LEFT'), ('LEFTPADDING', (0,0), (-1,-1), 8), ('ROWHEIGHT', (0,0), (-1,-1), 18), ])) story.append(tc2) # Section 3 story.append(Paragraph(" 3. IMPACTED TEETH ", H)) story.append(Paragraph("Winter's Classification of Mandibular 3rd Molar Impaction", SH)) for pt in [ "Mesioangular (most common) - 43%", "Horizontal - 3%", "Vertical - 38%", "Distoangular (most difficult to remove) - 6%", "Inverted, Buccoangular, Linguoangular - rare", ]: story.append(Paragraph(f"• {pt}", BL)) story.append(Paragraph("Pell and Gregory Classification", SH)) for pt in [ "Class I: Space between anterior border of ramus and distal surface of 2nd molar > mesiodistal width of 3rd molar", "Class II: Space between ramus and 2nd molar < mesiodistal width of 3rd molar", "Class III: 3rd molar entirely within ramus", "Position A: Occlusal surface at same level as 2nd molar", "Position B: Occlusal surface between occlusal plane and CEJ of 2nd molar", "Position C: Occlusal surface below CEJ of 2nd molar", ]: story.append(Paragraph(f"• {pt}", BL)) # Section 4 story.append(Paragraph(" 4. CYSTS OF THE JAWS ", H)) cyst_data = [ ['Cyst', 'Origin', 'Key Feature'], ['Dentigerous Cyst', 'Reduced enamel epithelium', 'Most common developmental cyst'], ['Radicular Cyst', 'Malassez cell rests', 'Most common jaw cyst overall'], ['OKC (KCOT)', 'Dental lamina', 'High recurrence, daughter cysts'], ['Nasopalatine Cyst', 'Nasopalatine duct epithelium', 'Heart-shaped radiolucency'], ['Lateral Periodontal Cyst', 'Reduced enamel epithelium', 'Between premolars'], ['Primordial Cyst', 'Enamel organ', 'Replaces a tooth'], ] tc3 = Table(cyst_data, colWidths=[4.5*cm, 5*cm, 6.5*cm]) tc3.setStyle(TableStyle([ ('BACKGROUND', (0,0), (-1,0), colors.HexColor('#1a3a5c')), ('TEXTCOLOR', (0,0), (-1,0), colors.white), ('FONTNAME', (0,0), (-1,0), 'Helvetica-Bold'), ('FONTSIZE', (0,0), (-1,-1), 9), ('ROWBACKGROUNDS', (0,1), (-1,-1), [colors.HexColor('#eaf4fb'), colors.white]), ('GRID', (0,0), (-1,-1), 0.5, colors.HexColor('#aacce4')), ('ALIGN', (0,0), (-1,-1), 'LEFT'), ('LEFTPADDING', (0,0), (-1,-1), 6), ('ROWHEIGHT', (0,0), (-1,-1), 18), ])) story.append(tc3) story.append(Spacer(1, 20)) story.append(HRFlowable(width="100%", thickness=1, color=colors.HexColor('#2e86ab'))) story.append(Paragraph("Prepared for TN MRB Dental Examination Preparation | BDS Study Notes", S)) doc.build(story) print("PDF 1 - Oral Surgery created") create_oral_surgery() PYEOF python3 /tmp/workspace/dental-pdfs/create_pdfs.py

cat << 'PYEOF' > /tmp/workspace/dental-pdfs/create_pdfs2to5.py from reportlab.lib.pagesizes import A4 from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.units import cm from reportlab.lib import colors from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle, HRFlowable from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY def make_styles(): styles = getSampleStyleSheet() T = ParagraphStyle('T', parent=styles['Title'], fontSize=22, textColor=colors.HexColor('#1a3a5c'), spaceAfter=6, fontName='Helvetica-Bold', alignment=TA_CENTER) S = ParagraphStyle('S', parent=styles['Normal'], fontSize=11, textColor=colors.HexColor('#2e86ab'), spaceAfter=12, fontName='Helvetica', alignment=TA_CENTER) H = ParagraphStyle('H', parent=styles['Heading2'], fontSize=13, textColor=colors.white, spaceAfter=4, spaceBefore=14, fontName='Helvetica-Bold', backColor=colors.HexColor('#1a3a5c'), leftIndent=-10, rightIndent=-10, leading=20) SH = ParagraphStyle('SH', parent=styles['Heading3'], fontSize=11, textColor=colors.HexColor('#1a3a5c'), spaceAfter=4, spaceBefore=8, fontName='Helvetica-Bold') B = ParagraphStyle('B', parent=styles['Normal'], fontSize=10, spaceAfter=5, leading=15, alignment=TA_JUSTIFY, fontName='Helvetica') BL = ParagraphStyle('BL', parent=styles['Normal'], fontSize=10, spaceAfter=3, leading=14, leftIndent=15, fontName='Helvetica') return T, S, H, SH, B, BL def tbl(data, col_widths, header_color='#1a3a5c'): t = Table(data, colWidths=col_widths) t.setStyle(TableStyle([ ('BACKGROUND', (0,0), (-1,0), colors.HexColor(header_color)), ('TEXTCOLOR', (0,0), (-1,0), colors.white), ('FONTNAME', (0,0), (-1,0), 'Helvetica-Bold'), ('FONTSIZE', (0,0), (-1,-1), 9), ('ROWBACKGROUNDS', (0,1), (-1,-1), [colors.HexColor('#eaf4fb'), colors.white]), ('GRID', (0,0), (-1,-1), 0.5, colors.HexColor('#aacce4')), ('ALIGN', (0,0), (-1,-1), 'LEFT'), ('LEFTPADDING', (0,0), (-1,-1), 7), ('VALIGN', (0,0), (-1,-1), 'MIDDLE'), ('ROWHEIGHT', (0,0), (-1,-1), 18), ])) return t # ───────────────────────────────────────────── # PDF 2 – CONSERVATIVE DENTISTRY & ENDODONTICS # ───────────────────────────────────────────── def pdf2(): doc = SimpleDocTemplate('/tmp/workspace/dental-pdfs/02_Conservative_Dentistry.pdf', pagesize=A4, topMargin=2*cm, bottomMargin=2*cm, leftMargin=2*cm, rightMargin=2*cm) T, S, H, SH, B, BL = make_styles() st = [] st.append(Paragraph("CONSERVATIVE DENTISTRY & ENDODONTICS", T)) st.append(Paragraph("Key Concepts for TN MRB Dental Examination", S)) st.append(HRFlowable(width="100%", thickness=2, color=colors.HexColor('#2e86ab'))) st.append(Spacer(1, 10)) st.append(Paragraph(" 1. CAVITY CLASSIFICATION (BLACK'S) ", H)) data = [ ['Class', 'Location', 'Teeth Involved'], ['Class I', 'Pits and fissures', 'Posterior teeth, lingual of upper anteriors'], ['Class II', 'Proximal surfaces', 'Posterior teeth (premolars & molars)'], ['Class III', 'Proximal surfaces', 'Anterior teeth (no incisal angle)'], ['Class IV', 'Proximal + incisal angle', 'Anterior teeth'], ['Class V', 'Gingival 1/3 of all teeth', 'All teeth (smooth surface)'], ['Class VI', 'Incisal/occlusal edges', 'Cusp tips - Simon added'], ] st.append(tbl(data, [2*cm, 6*cm, 8*cm])) st.append(Spacer(1, 8)) st.append(Paragraph(" 2. DENTAL CARIES ", H)) st.append(Paragraph("Keyes Triad (Essential factors)", SH)) for pt in [ "Host (tooth) - susceptible tooth surface", "Microorganisms - Streptococcus mutans (primary), Lactobacillus (progression)", "Substrate - Fermentable carbohydrates (sucrose most cariogenic)", "Time - All three must act together over time", ]: st.append(Paragraph(f"• {pt}", BL)) st.append(Paragraph("Zones of Dentinal Caries (Seltzer & Bender)", SH)) data2 = [ ['Zone (outer to inner)', 'Characteristics'], ['Zone of Decomposition', 'Bacteria present, collagen destroyed, irreversible'], ['Zone of Bacterial Invasion', 'Bacteria present, collagen intact, irreversible'], ['Zone of Demineralization', 'No bacteria, demineralised, reversible'], ['Zone of Sclerosis', 'Tubular sclerosis, defensive reaction'], ['Zone of Fatty Degeneration', 'Odontoblast changes'], ] st.append(tbl(data2, [6.5*cm, 9.5*cm])) st.append(Spacer(1, 8)) st.append(Paragraph(" 3. CAVITY PREPARATION PRINCIPLES ", H)) st.append(Paragraph("GV Black's Steps of Cavity Preparation", SH)) for i, pt in enumerate([ "Outline form - extent of cavity margins", "Resistance form - withstand occlusal forces", "Retention form - prevent displacement", "Convenience form - easy access for instruments", "Removal of remaining caries", "Finishing of enamel walls", "Toilet of the cavity - cleaning", ], 1): st.append(Paragraph(f"{i}. {pt}", BL)) st.append(Paragraph(" 4. PULP CAPPING ", H)) data3 = [ ['Type', 'Indication', 'Material'], ['Direct Pulp Cap', 'Mechanical/traumatic exposure, healthy pulp', 'MTA (Gold standard), Ca(OH)2'], ['Indirect Pulp Cap', 'Near-pulp caries, no exposure', 'Ca(OH)2, Dycal, GIC'], ] st.append(tbl(data3, [4*cm, 7*cm, 5*cm])) st.append(Spacer(1, 8)) st.append(Paragraph(" 5. ENDODONTICS - ACCESS CAVITY SHAPES ", H)) data4 = [ ['Tooth', 'Access Cavity Shape'], ['Maxillary Central Incisor', 'Triangular'], ['Maxillary Lateral Incisor', 'Triangular (smaller)'], ['Maxillary Canine', 'Oval'], ['Maxillary 1st Premolar', 'Oval (buccal-palatal)'], ['Maxillary 1st Molar', 'Rhomboidal/Trapezoidal'], ['Mandibular Incisors', 'Rectangular/oval'], ['Mandibular 1st Molar', 'Trapezoidal/Pentagonal'], ] st.append(tbl(data4, [7*cm, 9*cm])) st.append(Spacer(1, 8)) st.append(Paragraph(" 6. ROOT CANAL IRRIGANTS ", H)) data5 = [ ['Irrigant', 'Concentration', 'Action'], ['NaOCl (Sodium Hypochlorite)', '0.5% - 5.25%', 'Tissue dissolution, antimicrobial (gold standard)'], ['EDTA', '17%', 'Smear layer removal (inorganic)'], ['Chlorhexidine', '2%', 'Antimicrobial, substantivity'], ['MTAD', 'Mixed', 'Smear layer + antimicrobial'], ['Saline', '0.9%', 'Flushing, no antimicrobial effect'], ] st.append(tbl(data5, [5*cm, 3.5*cm, 7.5*cm])) st.append(Spacer(1, 8)) st.append(Paragraph(" 7. OBTURATION MATERIALS ", H)) for pt in [ "Ideal obturating material (Grossman criteria): Dimensionally stable, bacteriostatic, radiopaque, insoluble, non-irritating, easy to remove", "Gutta percha: Most commonly used - lateral and vertical condensation techniques", "MTA: Used for open apex, perforations, apexification", "AH Plus sealer: Epoxy resin based, most widely used sealer", "Obturation technique - Lateral condensation: Most popular; master cone + accessory cones", "Vertical condensation (Schilder): Better adaptation, warm gutta percha", ]: st.append(Paragraph(f"• {pt}", BL)) st.append(Spacer(1, 20)) st.append(HRFlowable(width="100%", thickness=1, color=colors.HexColor('#2e86ab'))) st.append(Paragraph("Prepared for TN MRB Dental Examination Preparation | BDS Study Notes", S)) doc.build(st) print("PDF 2 - Conservative Dentistry created") # ───────────────────────────────────────────── # PDF 3 – ORAL PATHOLOGY # ───────────────────────────────────────────── def pdf3(): doc = SimpleDocTemplate('/tmp/workspace/dental-pdfs/03_Oral_Pathology.pdf', pagesize=A4, topMargin=2*cm, bottomMargin=2*cm, leftMargin=2*cm, rightMargin=2*cm) T, S, H, SH, B, BL = make_styles() st = [] st.append(Paragraph("ORAL PATHOLOGY & ORAL MICROBIOLOGY", T)) st.append(Paragraph("Key Concepts for TN MRB Dental Examination", S)) st.append(HRFlowable(width="100%", thickness=2, color=colors.HexColor('#2e86ab'))) st.append(Spacer(1, 10)) st.append(Paragraph(" 1. WHITE LESIONS OF ORAL CAVITY ", H)) data = [ ['Lesion', 'Key Feature', 'Malignant Potential'], ['Leukoplakia', 'White patch, cannot be scraped off', '5-15% (WHO premalignant)'], ['Erythroplakia', 'Red velvety patch', 'Highest - 90% dysplasia/carcinoma'], ['Candidiasis (Thrush)', 'White patch, can be scraped off', 'None (opportunistic)'], ['Lichen Planus', 'Wickhams striae, bilateral', '1-3% (erosive type)'], ['Leukoedema', 'Opalescent milky white, disappears on stretching', 'None'], ['White Sponge Nevus', 'Bilateral, familial, asymptomatic', 'None'], ] st.append(tbl(data, [4*cm, 6*cm, 4.5*cm])) st.append(Spacer(1, 8)) st.append(Paragraph(" 2. POTENTIALLY MALIGNANT DISORDERS ", H)) st.append(Paragraph("WHO Classification (2005, updated 2017)", SH)) for pt in [ "Leukoplakia - most common", "Erythroplakia - highest malignant potential", "Palatal lesion in reverse smokers", "Oral submucous fibrosis (OSMF) - 7-13% transformation", "Actinic cheilitis/keratosis", "Discoid lupus erythematosus", ]: st.append(Paragraph(f"• {pt}", BL)) st.append(Paragraph("Dysplasia Grading", SH)) data2 = [ ['Grade', 'Extent of Epithelial Change'], ['Mild Dysplasia', 'Lower 1/3 of epithelium'], ['Moderate Dysplasia', 'Lower 2/3 of epithelium'], ['Severe Dysplasia', 'More than 2/3 but not full thickness'], ['Carcinoma in situ', 'Full thickness, no invasion'], ] st.append(tbl(data2, [5*cm, 11*cm])) st.append(Spacer(1, 8)) st.append(Paragraph(" 3. ORAL SQUAMOUS CELL CARCINOMA (OSCC) ", H)) for pt in [ "Most common oral malignancy (90-95% of all oral cancers)", "Most common site: Lateral border of tongue (in Western countries)", "Most common site in India: Buccal mucosa (due to betel nut/tobacco chewing)", "Risk factors: Tobacco, alcohol, HPV-16/18, chronic irritation, Plummer-Vinson syndrome", "TNM staging used for treatment planning", "Treatment: Surgery + radiotherapy (early stages), chemoradiation (advanced)", "5-year survival: Stage I - 80%, Stage IV - 20%", ]: st.append(Paragraph(f"• {pt}", BL)) st.append(Paragraph(" 4. SALIVARY GLAND TUMOURS ", H)) data3 = [ ['Tumour', 'Type', 'Key Feature'], ['Pleomorphic Adenoma', 'Benign (most common)', 'Parotid, mixed epithelial & mesenchymal'], ['Warthin Tumour', 'Benign', 'Only in parotid, bilateral in 10%, males'], ['Mucoepidermoid Carcinoma', 'Malignant (most common)', 'Parotid & minor glands'], ['Adenoid Cystic Carcinoma', 'Malignant', 'Perineural invasion, cribriform pattern'], ['Acinic Cell Carcinoma', 'Low-grade malignant', 'Parotid, serous cells'], ] st.append(tbl(data3, [5*cm, 3.5*cm, 7.5*cm])) st.append(Spacer(1, 8)) st.append(Paragraph(" 5. ODONTOGENIC TUMOURS ", H)) data4 = [ ['Tumour', 'Origin', 'Key Feature'], ['Ameloblastoma', 'Enamel organ/Malassez rests', 'Most common odontogenic tumour, soap bubble/honeycomb'], ['Odontoma', 'All dental tissues', 'Most common odontogenic lesion overall'], ['Adenomatoid Odontogenic Tumour', 'Enamel organ', '2/3 rule - 2/3 female, anterior maxilla, young'], ['Calcifying Epithelial OT (Pindborg)', 'Stratum intermedium', 'Liesegang rings, amyloid-like material'], ['Ameloblastic Fibroma', 'Ectomesenchyme + epithelium', 'Young patients, posterior mandible'], ] st.append(tbl(data4, [4.5*cm, 3.5*cm, 8*cm])) st.append(Spacer(1, 8)) st.append(Paragraph(" 6. VESICULOBULLOUS LESIONS ", H)) data5 = [ ['Disease', 'Blister Location', 'Diagnostic Test'], ['Pemphigus Vulgaris', 'Intraepithelial (suprabasal)', 'Tzanck test (acantholytic cells), Nikolsky sign +'], ['Bullous Pemphigoid', 'Subepithelial', 'IgG + C3 at basement membrane'], ['Mucous Membrane Pemphigoid', 'Subepithelial', 'IgG at BMZ, scarring'], ['Herpes Simplex', 'Intraepithelial', 'Tzanck test (multinucleated giant cells)'], ['Erythema Multiforme', 'Subepithelial', 'Target/iris lesions on skin, lip crusting'], ] st.append(tbl(data5, [4.5*cm, 4*cm, 7.5*cm])) st.append(Spacer(1, 20)) st.append(HRFlowable(width="100%", thickness=1, color=colors.HexColor('#2e86ab'))) st.append(Paragraph("Prepared for TN MRB Dental Examination Preparation | BDS Study Notes", S)) doc.build(st) print("PDF 3 - Oral Pathology created") # ───────────────────────────────────────────── # PDF 4 – PERIODONTICS # ───────────────────────────────────────────── def pdf4(): doc = SimpleDocTemplate('/tmp/workspace/dental-pdfs/04_Periodontics.pdf', pagesize=A4, topMargin=2*cm, bottomMargin=2*cm, leftMargin=2*cm, rightMargin=2*cm) T, S, H, SH, B, BL = make_styles() st = [] st.append(Paragraph("PERIODONTICS", T)) st.append(Paragraph("Key Concepts for TN MRB Dental Examination", S)) st.append(HRFlowable(width="100%", thickness=2, color=colors.HexColor('#2e86ab'))) st.append(Spacer(1, 10)) st.append(Paragraph(" 1. ANATOMY OF PERIODONTIUM ", H)) st.append(Paragraph("Components of Periodontium", SH)) data = [ ['Component', 'Key Points'], ['Gingiva', 'Free gingiva (sulcus 1-3mm), attached gingiva, interdental papilla'], ['Periodontal Ligament', 'Width 0.15-0.38mm, principal fibres, Sharpey fibres at bone end'], ['Cementum', 'Acellular (primary) & cellular (secondary); no blood supply'], ['Alveolar Bone', 'Bundle bone lines socket; lamina dura on radiograph'], ] st.append(tbl(data, [4.5*cm, 11.5*cm])) st.append(Spacer(1, 8)) st.append(Paragraph("Principal Fibres of PDL", SH)) for pt in [ "Alveolar crest fibres - resist lateral forces, most coronal", "Horizontal fibres - resist lateral/tipping forces", "Oblique fibres - most numerous, resist intrusive/axial forces", "Apical fibres - resist extrusive forces, luxation", "Interradicular fibres - multirooted teeth only", ]: st.append(Paragraph(f"• {pt}", BL)) st.append(Paragraph(" 2. AAP/EFP 2017 CLASSIFICATION OF PERIODONTAL DISEASES ", H)) st.append(Paragraph("Staging (Severity)", SH)) data2 = [ ['Stage', 'CAL', 'Radiographic Bone Loss', 'Tooth Loss'], ['Stage I', '1-2 mm', 'Coronal 1/3 (<15%)', 'No tooth loss due to periodontitis'], ['Stage II', '3-4 mm', 'Coronal 1/3 (15-33%)', 'No tooth loss due to periodontitis'], ['Stage III', '>= 5 mm', 'Extending to mid/apical 1/3', '<= 4 teeth lost'], ['Stage IV', '>= 5 mm', 'Extending to mid/apical 1/3', '>= 5 teeth lost'], ] st.append(tbl(data2, [2*cm, 2.5*cm, 6*cm, 5.5*cm])) st.append(Spacer(1, 6)) st.append(Paragraph("Grading (Rate of Progression)", SH)) data3 = [ ['Grade', 'Evidence of Progression', 'Risk Factor'], ['Grade A', 'No evidence, <0.25mm/year', 'Non-smoker, normoglycaemia'], ['Grade B', 'Evidence, 0.25-1.0mm/year', '<10 cig/day, HbA1c <7'], ['Grade C', 'Rapid, >1.0mm/year', '>10 cig/day, HbA1c >=7'], ] st.append(tbl(data3, [2.5*cm, 7*cm, 6.5*cm])) st.append(Spacer(1, 8)) st.append(Paragraph(" 3. PERIODONTAL INDICES ", H)) data4 = [ ['Index', 'What It Measures', 'Scoring'], ['Plaque Index (Silness & Loe)', 'Plaque thickness at gingival margin', '0-3 per surface, 4 surfaces'], ['Gingival Index (Loe & Silness)', 'Gingival inflammation', '0-3 per surface, 4 surfaces'], ['OHI-S (Greene & Vermillion)', 'Oral hygiene (DI + CI)', '0-3 per surface, 6 index teeth'], ['CPITN/BPE', 'Periodontal treatment need', '0-4 sextants, probe used'], ['Russell\'s PI', 'Periodontal disease severity', '0-8 per tooth'], ['PBI (Saxer & Muhlemann)', 'Papillary bleeding', '0-4 on probing'], ] st.append(tbl(data4, [5*cm, 5*cm, 6*cm])) st.append(Spacer(1, 8)) st.append(Paragraph(" 4. TREATMENT OF PERIODONTAL DISEASE ", H)) st.append(Paragraph("Phase I Therapy (Cause-related)", SH)) for pt in [ "Oral hygiene instructions (OHI)", "Supragingival scaling and polishing", "Subgingival scaling and root planing (SRP)", "Elimination of local risk factors (overhanging restorations, etc.)", "Antimicrobials if indicated (systemic: Amoxicillin + Metronidazole)", ]: st.append(Paragraph(f"• {pt}", BL)) st.append(Paragraph("Periodontal Surgical Procedures", SH)) data5 = [ ['Procedure', 'Indication'], ['Gingivectomy', 'Suprabony pockets, fibrotic gingiva, gingival enlargement'], ['Modified Widman Flap', 'Deep pockets, better root planing access'], ['Undisplaced Flap', 'Pocket elimination with osseous surgery'], ['Apically Positioned Flap', 'Crown lengthening, gain attached gingiva'], ['Guided Tissue Regeneration (GTR)', 'Infrabony defects, furcation involvement'], ['Free Gingival Graft', 'Increase width of attached gingiva'], ['Connective Tissue Graft', 'Root coverage - gold standard for recession'], ] st.append(tbl(data5, [6.5*cm, 9.5*cm])) st.append(Spacer(1, 20)) st.append(HRFlowable(width="100%", thickness=1, color=colors.HexColor('#2e86ab'))) st.append(Paragraph("Prepared for TN MRB Dental Examination Preparation | BDS Study Notes", S)) doc.build(st) print("PDF 4 - Periodontics created") # ───────────────────────────────────────────── # PDF 5 – COMMUNITY DENTISTRY # ───────────────────────────────────────────── def pdf5(): doc = SimpleDocTemplate('/tmp/workspace/dental-pdfs/05_Community_Dentistry.pdf', pagesize=A4, topMargin=2*cm, bottomMargin=2*cm, leftMargin=2*cm, rightMargin=2*cm) T, S, H, SH, B, BL = make_styles() st = [] st.append(Paragraph("COMMUNITY DENTISTRY & PUBLIC HEALTH DENTISTRY", T)) st.append(Paragraph("Key Concepts for TN MRB Dental Examination", S)) st.append(HRFlowable(width="100%", thickness=2, color=colors.HexColor('#2e86ab'))) st.append(Spacer(1, 10)) st.append(Paragraph(" 1. DENTAL INDICES ", H)) data = [ ['Index', 'Full Name', 'Measures', 'Teeth Examined'], ['DMFT/dmft', 'Decayed Missing Filled Teeth', 'Caries experience (permanent/primary)', 'All teeth'], ['DMFS/dmfs', 'Decayed Missing Filled Surfaces', 'Caries by surface', 'All surfaces'], ['OHI-S', 'Simplified Oral Hygiene Index', 'Plaque + Calculus (DI+CI)', '6 index teeth'], ['Dean\'s Fluorosis Index', 'Fluorosis severity', 'Enamel mottling', '0-4 scale'], ['SiC Index', 'Significant Caries Index', 'Caries in worst 1/3 of population', 'DMFT based'], ['PUFA/pufa', 'Pulp/Ulcer/Fistula/Abscess', 'Consequences of untreated caries', 'All teeth'], ] st.append(tbl(data, [2.5*cm, 5*cm, 4.5*cm, 4*cm])) st.append(Spacer(1, 8)) st.append(Paragraph(" 2. FLUORIDES IN DENTISTRY ", H)) st.append(Paragraph("Optimal Fluoride Levels", SH)) for pt in [ "Optimal fluoride in drinking water: 0.7-1.2 ppm (1 ppm in India)", "Fluorosis threshold: >2 ppm causes dental fluorosis", "Skeletal fluorosis: >8-10 ppm long-term exposure", "Lethal dose of fluoride: 32-64 mg/kg body weight", "Certainly toxic dose (CTD): 5 mg/kg body weight", "Safe dose for children: 8.2 mg NaF (5 mg fluoride)", ]: st.append(Paragraph(f"• {pt}", BL)) st.append(Paragraph("Fluoride Supplements - Dosage Schedule", SH)) data2 = [ ['Age', 'Water F < 0.3 ppm', 'Water F 0.3-0.6 ppm', 'Water F > 0.6 ppm'], ['6 months - 3 years', '0.25 mg/day', '0', '0'], ['3-6 years', '0.50 mg/day', '0.25 mg/day', '0'], ['6-16 years', '1.0 mg/day', '0.50 mg/day', '0'], ] st.append(tbl(data2, [4*cm, 4*cm, 4*cm, 4*cm])) st.append(Spacer(1, 8)) st.append(Paragraph(" 3. PREVENTIVE DENTISTRY ", H)) st.append(Paragraph("Levels of Prevention", SH)) data3 = [ ['Level', 'Examples in Dentistry'], ['Primary Prevention', 'Fluoridation, pit & fissure sealants, OHI, diet counselling'], ['Secondary Prevention', 'Early diagnosis, restorations, scaling & polishing'], ['Tertiary Prevention', 'Extractions, dentures, implants, rehabilitation'], ] st.append(tbl(data3, [5*cm, 11*cm])) st.append(Spacer(1, 6)) st.append(Paragraph("Pit and Fissure Sealants", SH)) for pt in [ "Best preventive measure for occlusal caries in children", "Indication: Newly erupted permanent molars with deep fissures", "Best age: 6-7 years (first molar), 11-13 years (second molar)", "Materials: Resin-based sealants (most common), GIC sealants", "Retention: 50% at 7 years for resin sealants", "Acid etching: 37% phosphoric acid for 15-30 seconds", ]: st.append(Paragraph(f"• {pt}", BL)) st.append(Paragraph(" 4. EPIDEMIOLOGY OF DENTAL DISEASES ", H)) data4 = [ ['Term', 'Definition'], ['Prevalence', 'All cases (new + old) in population at a given time'], ['Incidence', 'New cases occurring in a population over a time period'], ['Endemic', 'Disease constantly present in an area at expected level'], ['Epidemic', 'Disease occurring in excess of normal expectancy'], ['Pandemic', 'Epidemic occurring worldwide (e.g. COVID-19)'], ['Sensitivity', 'Ability to identify true positives (TP/TP+FN x 100)'], ['Specificity', 'Ability to identify true negatives (TN/TN+FP x 100)'], ] st.append(tbl(data4, [4.5*cm, 11.5*cm])) st.append(Spacer(1, 8)) st.append(Paragraph(" 5. NATIONAL ORAL HEALTH PROGRAMS ", H)) data5 = [ ['Program', 'Year', 'Key Focus'], ['National Oral Health Policy', '1995, revised 2001', 'Framework for oral health in India'], ['National Oral Health Program (NOHP)', '2014-15', 'Integration with NHM, district level'], ['School Dental Health Program', 'Ongoing', 'Prevention in school children 6-12 years'], ['WHO Oral Health Goals 2020', '2003', 'DMFT <1 at age 12 years globally'], ] st.append(tbl(data5, [5.5*cm, 3*cm, 7.5*cm])) st.append(Spacer(1, 8)) st.append(Paragraph(" 6. STERILIZATION & INFECTION CONTROL ", H)) data6 = [ ['Method', 'Temperature/Time', 'Used For'], ['Autoclaving', '121 deg C / 15 min (15 psi)', 'Most instruments - gold standard'], ['Dry Heat (Hot Air Oven)', '160 deg C / 1 hr OR 170 deg C / 30 min', 'Oils, powders, glass'], ['Glutaraldehyde 2%', '10 hrs for sterilization', 'Heat-sensitive instruments'], ['UV Light', '254 nm', 'Surface disinfection, water'], ['ETO (Ethylene Oxide)', '55 deg C / 4-12 hrs', 'Plastic, rubber items'], ] st.append(tbl(data6, [4.5*cm, 5.5*cm, 6*cm])) st.append(Spacer(1, 20)) st.append(HRFlowable(width="100%", thickness=1, color=colors.HexColor('#2e86ab'))) st.append(Paragraph("Prepared for TN MRB Dental Examination Preparation | BDS Study Notes", S)) doc.build(st) print("PDF 5 - Community Dentistry created") pdf2() pdf3() pdf4() pdf5() print("All 5 PDFs created successfully!") PYEOF python3 /tmp/workspace/dental-pdfs/create_pdfs2to5.py