🦷 EXODONTIA & IMPACTIONS - NEET MDS MASTER NOTES

#!/usr/bin/env python3
"""
NEET MDS - Exodontia & Impactions Study Notes PDF Generator
Uses ReportLab for full control over layout, colors, tables, images
"""

from reportlab.lib.pagesizes import A4
from reportlab.lib import colors
from reportlab.lib.units import mm, cm
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY
from reportlab.platypus import (
    SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle,
    HRFlowable, Image, KeepTogether, PageBreak
)
from reportlab.platypus.flowables import Flowable
from reportlab.lib.colors import HexColor
import os

# ── Color palette ──────────────────────────────────────────────────────────
C_BG_DARK    = HexColor('#1A1A2E')   # deep navy (header bg)
C_ACCENT1    = HexColor('#E94560')   # red-pink (must-know)
C_ACCENT2    = HexColor('#0F3460')   # dark blue (section headers)
C_ACCENT3    = HexColor('#16213E')   # darker navy
C_GREEN      = HexColor('#2ECC71')   # green (easy / good-to-know)
C_YELLOW     = HexColor('#F39C12')   # orange-yellow (important)
C_ORANGE     = HexColor('#E67E22')   # orange
C_PURPLE     = HexColor('#8E44AD')   # purple (PYQs)
C_BLUE_LIGHT = HexColor('#2980B9')   # info blue
C_TEAL       = HexColor('#1ABC9C')   # teal
C_RED_LIGHT  = HexColor('#FADBD8')   # light red bg
C_YELLOW_BG  = HexColor('#FEF9E7')   # sticky note bg
C_GREEN_BG   = HexColor('#EAFAF1')   # green bg
C_BLUE_BG    = HexColor('#EBF5FB')   # blue bg
C_PURPLE_BG  = HexColor('#F5EEF8')   # purple bg
C_WHITE      = colors.white
C_BLACK      = colors.black
C_GRAY       = HexColor('#6C7A89')
C_LIGHT_GRAY = HexColor('#F0F0F0')
C_TABLE_HEADER = HexColor('#2C3E50')
C_TABLE_ALT    = HexColor('#ECF0F1')
C_TABLE_ALT2   = HexColor('#D6EAF8')

BASE_DIR = '/tmp/workspace/neet-mds-pdf'
OUTPUT   = os.path.join(BASE_DIR, 'NEET_MDS_Exodontia_Impactions.pdf')

# ── Styles ─────────────────────────────────────────────────────────────────
styles = getSampleStyleSheet()

def s(name, **kw):
    return ParagraphStyle(name, **kw)

STYLE = {
    'title': s('title_main', fontSize=28, fontName='Helvetica-Bold',
               textColor=C_WHITE, alignment=TA_CENTER, leading=34),
    'subtitle': s('subtitle_main', fontSize=14, fontName='Helvetica',
                  textColor=HexColor('#BDC3C7'), alignment=TA_CENTER, leading=20),
    'sec_header': s('sec_header', fontSize=15, fontName='Helvetica-Bold',
                    textColor=C_WHITE, leading=20),
    'subsec': s('subsec', fontSize=12, fontName='Helvetica-Bold',
                textColor=C_ACCENT2, leading=16, spaceAfter=4),
    'body': s('body', fontSize=10, fontName='Helvetica',
              textColor=C_BLACK, leading=15, spaceAfter=3),
    'body_bold': s('body_bold', fontSize=10, fontName='Helvetica-Bold',
                   textColor=C_BLACK, leading=15),
    'bullet': s('bullet', fontSize=10, fontName='Helvetica',
                textColor=C_BLACK, leading=14, leftIndent=14,
                bulletIndent=4, spaceAfter=2),
    'sticky': s('sticky', fontSize=10, fontName='Helvetica',
                textColor=HexColor('#5D4037'), leading=14),
    'sticky_bold': s('sticky_bold', fontSize=10, fontName='Helvetica-Bold',
                     textColor=HexColor('#4A235A'), leading=14),
    'red_note': s('red_note', fontSize=10, fontName='Helvetica-Bold',
                  textColor=HexColor('#922B21'), leading=14),
    'caption': s('caption', fontSize=8, fontName='Helvetica-Oblique',
                 textColor=C_GRAY, alignment=TA_CENTER, leading=11),
    'q_num': s('q_num', fontSize=11, fontName='Helvetica-Bold',
               textColor=C_PURPLE, leading=16),
    'q_text': s('q_text', fontSize=11, fontName='Helvetica',
                textColor=C_BLACK, leading=16),
    'q_ans': s('q_ans', fontSize=10, fontName='Helvetica-Bold',
               textColor=HexColor('#1A5276'), leading=14),
    'q_exp': s('q_exp', fontSize=10, fontName='Helvetica',
               textColor=HexColor('#2C3E50'), leading=14),
    'correct': s('correct', fontSize=10, fontName='Helvetica-Bold',
                 textColor=HexColor('#1E8449'), leading=14),
    'toc_item': s('toc_item', fontSize=11, fontName='Helvetica',
                  textColor=C_ACCENT2, leading=18),
}

# ── Helper Flowables ────────────────────────────────────────────────────────

class ColorBox(Flowable):
    """A colored rectangle used as section header background."""
    def __init__(self, text, bg_color, text_color=C_WHITE, width=None,
                 height=28, font='Helvetica-Bold', font_size=13, icon=''):
        super().__init__()
        self.text = text
        self.bg_color = bg_color
        self.text_color = text_color
        self._width = width
        self.height = height
        self.font = font
        self.font_size = font_size
        self.icon = icon

    def wrap(self, availWidth, availHeight):
        self.width = self._width or availWidth
        return self.width, self.height

    def draw(self):
        c = self.canv
        c.setFillColor(self.bg_color)
        c.roundRect(0, 0, self.width, self.height, 6, fill=1, stroke=0)
        c.setFillColor(self.text_color)
        c.setFont(self.font, self.font_size)
        label = f"  {self.icon}  {self.text}" if self.icon else f"  {self.text}"
        c.drawString(10, (self.height - self.font_size) / 2 + 2, label)


class StickyNote(Flowable):
    """Yellow sticky note style box."""
    def __init__(self, content_lines, bg=C_YELLOW_BG, border=C_YELLOW,
                 width=None, icon='📌'):
        super().__init__()
        self.content_lines = content_lines
        self.bg = bg
        self.border = border
        self._width = width
        self.icon = icon

    def wrap(self, availWidth, availHeight):
        self.width = self._width or availWidth
        line_h = 16
        self.height = 14 + len(self.content_lines) * line_h + 10
        return self.width, self.height

    def draw(self):
        c = self.canv
        c.setFillColor(self.bg)
        c.setStrokeColor(self.border)
        c.setLineWidth(2)
        c.roundRect(0, 0, self.width, self.height, 8, fill=1, stroke=1)
        c.setFont('Helvetica-Bold', 10)
        c.setFillColor(HexColor('#5D4037'))
        y = self.height - 16
        c.drawString(10, y, f"{self.icon}  STICKY NOTE")
        c.setFont('Helvetica', 9.5)
        c.setFillColor(HexColor('#4A235A'))
        for line in self.content_lines:
            y -= 16
            c.drawString(14, y, line)


class RedBox(Flowable):
    """High-yield red alert box."""
    def __init__(self, lines, width=None):
        super().__init__()
        self.lines = lines
        self._width = width

    def wrap(self, availWidth, availHeight):
        self.width = self._width or availWidth
        self.height = 16 + len(self.lines) * 16 + 10
        return self.width, self.height

    def draw(self):
        c = self.canv
        c.setFillColor(C_RED_LIGHT)
        c.setStrokeColor(C_ACCENT1)
        c.setLineWidth(2.5)
        c.roundRect(0, 0, self.width, self.height, 6, fill=1, stroke=1)
        y = self.height - 16
        c.setFont('Helvetica-Bold', 10)
        c.setFillColor(HexColor('#922B21'))
        c.drawString(10, y, "🔴  HIGH YIELD — NEET MDS")
        c.setFont('Helvetica', 9.5)
        c.setFillColor(HexColor('#641E16'))
        for line in self.lines:
            y -= 16
            c.drawString(14, y, f"  • {line}")


def section_header(text, color=C_ACCENT2, icon=''):
    return [
        Spacer(1, 8),
        ColorBox(text, color, icon=icon),
        Spacer(1, 6),
    ]


def subsection(text):
    return [Paragraph(text, STYLE['subsec']), Spacer(1, 3)]


def body(text):
    return Paragraph(text, STYLE['body'])


def bullet(text):
    return Paragraph(f"• {text}", STYLE['bullet'])


def sp(n=6):
    return Spacer(1, n)


def hr():
    return HRFlowable(width='100%', thickness=0.5, color=C_LIGHT_GRAY, spaceAfter=4)


def make_table(header_row, data_rows, col_widths=None, alt_color=C_TABLE_ALT,
               header_bg=C_TABLE_HEADER):
    all_rows = [header_row] + data_rows
    tbl = Table(all_rows, colWidths=col_widths, repeatRows=1)
    style_cmds = [
        ('BACKGROUND',  (0, 0), (-1, 0),  header_bg),
        ('TEXTCOLOR',   (0, 0), (-1, 0),  C_WHITE),
        ('FONTNAME',    (0, 0), (-1, 0),  'Helvetica-Bold'),
        ('FONTSIZE',    (0, 0), (-1, 0),  10),
        ('ALIGN',       (0, 0), (-1, -1), 'LEFT'),
        ('VALIGN',      (0, 0), (-1, -1), 'MIDDLE'),
        ('FONTNAME',    (0, 1), (-1, -1), 'Helvetica'),
        ('FONTSIZE',    (0, 1), (-1, -1), 9.5),
        ('ROWBACKGROUNDS', (0, 1), (-1, -1), [C_WHITE, alt_color]),
        ('GRID',        (0, 0), (-1, -1), 0.4, HexColor('#BDC3C7')),
        ('TOPPADDING',  (0, 0), (-1, -1), 5),
        ('BOTTOMPADDING', (0, 0), (-1, -1), 5),
        ('LEFTPADDING', (0, 0), (-1, -1), 7),
        ('RIGHTPADDING', (0, 0), (-1, -1), 7),
    ]
    tbl.setStyle(TableStyle(style_cmds))
    return tbl


def img_with_caption(path, caption, max_w=14*cm, max_h=8*cm):
    items = []
    try:
        from PIL import Image as PILImage
        with PILImage.open(path) as im:
            w, h = im.size
        ratio = w / h
        disp_w = min(max_w, ratio * max_h)
        disp_h = disp_w / ratio
        items.append(Image(path, width=disp_w, height=disp_h))
        items.append(Paragraph(caption, STYLE['caption']))
    except Exception as e:
        items.append(Paragraph(f"[Image: {caption}]", STYLE['caption']))
    return items


def pyq_block(num, question, options, correct_idx, explanation):
    """
    Build a PYQ card with colored background.
    correct_idx: 0-based index of correct answer in options list
    """
    W = 16.5 * cm
    rows = []
    # Q row
    rows.append([Paragraph(f"Q{num}.", STYLE['q_num']),
                 Paragraph(question, STYLE['q_text'])])
    # Option rows
    for i, opt in enumerate(options):
        letter = chr(65 + i)
        if i == correct_idx:
            style = ParagraphStyle('opt_correct', fontSize=10,
                                   fontName='Helvetica-Bold',
                                   textColor=HexColor('#1A5276'), leading=14)
            prefix = f"✅ {letter})"
        else:
            style = ParagraphStyle('opt_norm', fontSize=10,
                                   fontName='Helvetica', textColor=C_BLACK,
                                   leading=14)
            prefix = f"    {letter})"
        rows.append(['', Paragraph(f"{prefix}  {opt}", style)])
    # Explanation row
    rows.append(['', Paragraph(
        f"<b>Explanation:</b> {explanation}",
        ParagraphStyle('exp', fontSize=9.5, fontName='Helvetica',
                       textColor=HexColor('#1B2631'), leading=14,
                       backColor=C_PURPLE_BG)
    )])

    col_w = [1.0 * cm, W - 1.0 * cm]
    tbl = Table(rows, colWidths=col_w)
    tbl.setStyle(TableStyle([
        ('BACKGROUND',  (0, 0), (-1, -1), C_PURPLE_BG),
        ('TOPPADDING',  (0, 0), (-1, -1), 4),
        ('BOTTOMPADDING', (0, 0), (-1, -1), 4),
        ('LEFTPADDING', (0, 0), (-1, -1), 5),
        ('RIGHTPADDING', (0, 0), (-1, -1), 5),
        ('LINEBELOW',   (0, -1), (-1, -1), 1, C_PURPLE),
        ('ROUNDEDCORNERS', [6]),
        ('VALIGN',      (0, 0), (-1, -1), 'TOP'),
    ]))
    return [KeepTogether([tbl, sp(6)])]


# ════════════════════════════════════════════════════════════════════════════
#  BUILD DOCUMENT
# ════════════════════════════════════════════════════════════════════════════

def build_pdf():
    doc = SimpleDocTemplate(
        OUTPUT,
        pagesize=A4,
        rightMargin=18*mm, leftMargin=18*mm,
        topMargin=18*mm, bottomMargin=18*mm,
        title='NEET MDS - Exodontia & Impactions',
        author='Orris AI',
    )

    story = []
    PW = A4[0] - 36*mm   # printable width

    # ── COVER PAGE ────────────────────────────────────────────────────────
    story += [sp(30)]
    # Dark header banner
    story.append(ColorBox(
        'NEET MDS  |  ORAL SURGERY',
        C_BG_DARK, C_WHITE, width=PW, height=50, font='Helvetica-Bold', font_size=18
    ))
    story += [sp(10)]
    story.append(ColorBox(
        'EXODONTIA & IMPACTIONS',
        C_ACCENT1, C_WHITE, width=PW, height=60, font='Helvetica-Bold', font_size=22
    ))
    story += [sp(10)]
    story.append(Paragraph(
        'High-Yield Master Notes  •  Previous Year Questions  •  Colour-Coded Review',
        STYLE['subtitle']
    ))
    story += [sp(20)]

    # Cover image
    story += img_with_caption(
        os.path.join(BASE_DIR, 'classification.jpg'),
        'Fig 1. Winter\'s & Pell-Gregory Classification of Impacted Mandibular Third Molars (OPG)',
        max_w=PW, max_h=9*cm
    )
    story += [sp(20)]
    story.append(Paragraph(
        'Prepared for NEET MDS Aspirants  •  Oral & Maxillofacial Surgery',
        STYLE['caption']
    ))
    story.append(PageBreak())

    # ── TABLE OF CONTENTS ─────────────────────────────────────────────────
    story += section_header('TABLE OF CONTENTS', C_BG_DARK)
    toc_items = [
        ('1', 'Exodontia - Armamentarium & Principles', 'Elevators, Forceps, Movements'),
        ('2', 'Impacted Teeth - Overview & Classification', 'Winter\'s, Pell & Gregory'),
        ('3', 'Indications & Contraindications', 'For removal of impacted teeth'),
        ('4', 'Surgical Technique', 'Steps, Incisions, Flap design'),
        ('5', 'Complications', 'Intraoperative & Postoperative'),
        ('6', 'Dry Socket (Alveolar Osteitis)', 'NEET MDS favourite topic'),
        ('7', 'Oro-Antral Communication & Fistula', 'OAC, OAF, Rehrmann flap'),
        ('8', 'Pericoronitis & Space Infections', 'Spread, Ludwig\'s angina'),
        ('9', 'Local Anaesthesia for Extraction', 'Blocks, Gow-Gates, Akinosi'),
        ('10', 'Previous Year Questions (PYQs)', '15 fully solved questions'),
        ('11', 'Quick Recall Sticky Notes', 'Last-minute revision'),
    ]
    toc_data = [[Paragraph(f"<b>{n}</b>", STYLE['toc_item']),
                 Paragraph(f"<b>{t}</b><br/><font size=9 color='grey'>{sub}</font>",
                           STYLE['toc_item'])]
                for n, t, sub in toc_items]
    toc_tbl = Table(toc_data, colWidths=[1.2*cm, PW-1.2*cm])
    toc_tbl.setStyle(TableStyle([
        ('ROWBACKGROUNDS', (0, 0), (-1, -1), [C_WHITE, C_BLUE_BG]),
        ('TOPPADDING',    (0, 0), (-1, -1), 6),
        ('BOTTOMPADDING', (0, 0), (-1, -1), 6),
        ('LEFTPADDING',   (0, 0), (-1, -1), 8),
        ('GRID',          (0, 0), (-1, -1), 0.3, HexColor('#D5D8DC')),
    ]))
    story.append(toc_tbl)
    story.append(PageBreak())

    # ═══════════════════════════════════════════════════════════════════════
    # SECTION 1: EXODONTIA
    # ═══════════════════════════════════════════════════════════════════════
    story += section_header('1.  EXODONTIA — ARMAMENTARIUM & PRINCIPLES', C_ACCENT2, '🔧')

    story += subsection('A. ELEVATORS')
    story.append(body(
        'Elevators work on 3 mechanical principles: <b>Lever, Wheel & Axle, Wedge</b>. '
        'They disrupt the PDL and expand the socket before forceps are applied.'
    ))
    story += [sp(6)]
    elev_data = [
        ['Elevator', 'Key Feature', 'Primary Use'],
        ['Straight (Warwick James)', 'Straight blade', 'Maxillary teeth, PDL disruption'],
        ["Cryer's (L & R)", 'Paired, triangular blade', 'Mandibular molar ROOTS'],
        ["Winter's cross-bar", 'Cross-bar handle, curved', 'Impacted lower 3rd molar'],
        ['Apexo elevator', 'Thin sharp tip', 'Root fragments, apical 1/3'],
        ["Molt's periosteal (No.9)", 'Wide flat blade', 'Raising mucoperiosteal flaps'],
        ["Potts elevator", 'Similar to Cryer', 'Root removal'],
    ]
    story.append(make_table(
        elev_data[0], elev_data[1:],
        col_widths=[5.5*cm, 5*cm, 6*cm],
        header_bg=C_ACCENT2
    ))
    story += [sp(8)]
    story.append(RedBox([
        "Winter's elevator = used for Winter's (cross-bar handle) impactions — easy mnemonic!",
        "Cryer's elevator = ALWAYS used in PAIRS (left + right) for lower molar roots",
        "Molt No. 9 = periosteal elevator for flap raising in surgical extractions",
    ]))

    story += [sp(10)]
    story += subsection('B. EXTRACTION FORCEPS')
    forceps_data = [
        ['Forceps No.', 'Tooth / Region', 'Special Feature'],
        ['No. 1', 'Upper incisors & canines', 'Straight axis'],
        ['No. 2 / 2A', 'Upper premolars', 'Slight angulation'],
        ['No. 17', 'Upper right molars', 'Right-angled beaks'],
        ['No. 18L / 18R', 'Upper left / right molars', 'Paired set'],
        ['Bayonet (No.67)', 'Upper 3rd molars', 'Offset handles for access'],
        ['No. 74 (lower)', 'Lower incisors', 'Straight, thin beaks'],
        ['No. 79 (lower)', 'Lower premolars', 'Narrow beaks'],
        ['No. 77R / 77L', 'Lower right / left molars', 'Beaked for bifurcation'],
        ['No. 23 (Cow Horn)', 'Lower molars', 'Both beaks into bifurcation'],
    ]
    story.append(make_table(
        forceps_data[0], forceps_data[1:],
        col_widths=[4*cm, 6*cm, 6.5*cm],
        header_bg=C_TEAL
    ))
    story += [sp(8)]
    story.append(StickyNote([
        "Cow-horn forceps apply a PUMPING action (not rotation) into the bifurcation of lower molars.",
        "Bayonet forceps = upper 3rd molars (offset handles give access to posterior maxilla).",
        "Lower molar forceps beaks are POINTED — engage bifurcation buccally and lingually.",
    ], bg=C_YELLOW_BG, border=C_YELLOW))

    story += [sp(10)]
    story += subsection('C. MOVEMENTS DURING EXTRACTION')
    story.append(body('<b>Key principle:</b> Single-rooted teeth = rotation allowed. Multi-rooted or curved roots = rotation CONTRAINDICATED.'))
    story += [sp(6)]
    mov_data = [
        ['Tooth', 'Movements Applied', 'Notes'],
        ['Maxillary anteriors', 'Labial + Palatal + Rotation', 'Conical single root → rotation OK'],
        ['Maxillary premolars', 'Buccal + Palatal (NO rotation)', 'Two roots — diverge, no rotation'],
        ['Maxillary 1st molar', 'Buccal > Palatal + figure-of-8', 'Three roots, buccal bone thin'],
        ['Mandibular anteriors', 'Labial + Lingual + Rotation', 'Single root, rotation OK'],
        ['Mandibular premolars', 'Buccal + Lingual ± Rotation', 'Usually single root'],
        ['Mandibular molars', 'Figure-of-8 (buccal + lingual)', 'NO rotation — two roots'],
    ]
    story.append(make_table(
        mov_data[0], mov_data[1:],
        col_widths=[5*cm, 6*cm, 5.5*cm],
        header_bg=C_ORANGE
    ))
    story.append(PageBreak())

    # ═══════════════════════════════════════════════════════════════════════
    # SECTION 2: IMPACTED TEETH
    # ═══════════════════════════════════════════════════════════════════════
    story += section_header('2.  IMPACTED TEETH — CLASSIFICATION', C_ACCENT2, '🦷')

    story.append(body(
        '<b>Definition:</b> An impacted tooth is one that is completely or partially unerupted and '
        'positioned against another tooth, bone, or soft tissue so that further eruption is unlikely.'
    ))
    story += [sp(8)]

    # Frequency table
    story += subsection('ORDER OF FREQUENCY OF IMPACTION')
    freq_data = [
        ['Rank', 'Tooth', 'Notes'],
        ['1st (Most Common)', 'Mandibular 3rd Molar', 'Due to retromolar space deficiency'],
        ['2nd', 'Maxillary 3rd Molar', 'Less frequent than lower'],
        ['3rd', 'Maxillary Canine', 'Most common impacted canine'],
        ['4th', 'Mandibular 2nd Premolar', 'Least common after canines'],
        ['Least Common Canine', 'Mandibular Canine', 'Rarely impacted'],
    ]
    story.append(make_table(
        freq_data[0], freq_data[1:],
        col_widths=[5*cm, 6*cm, 5.5*cm],
        header_bg=C_ACCENT1
    ))
    story += [sp(8)]
    story.append(RedBox([
        "Most commonly impacted tooth OVERALL = Mandibular 3rd molar",
        "Most commonly impacted CANINE = Maxillary canine (palatal impaction, 2:1 ratio)",
        "LEAST commonly impacted = Mandibular canine",
    ]))

    story += [sp(10)]
    story += subsection("A. WINTER'S CLASSIFICATION (Angulation)")
    story.append(body(
        "Based on the angulation of the long axis of the impacted tooth relative to "
        "the long axis of the adjacent 2nd molar."
    ))
    story += [sp(6)]
    winter_data = [
        ['Angulation', 'Description', 'Surgical Difficulty'],
        ['Mesioangular', 'Tilted mesially toward 2nd molar', '⭐ EASIEST'],
        ['Vertical', 'Parallel to 2nd molar', '⭐⭐ Easy-Moderate'],
        ['Horizontal', '90° — perpendicular to 2nd molar', '⭐⭐⭐ Difficult'],
        ['Distoangular', 'Tilted distally toward ramus', '⭐⭐⭐⭐ MOST DIFFICULT'],
        ['Buccoangular', 'Tilted buccally', 'Variable'],
        ['Linguoangular', 'Tilted lingually', 'Variable'],
        ['Transverse/Inverted', 'Crown facing downward', 'Most complex (rare)'],
    ]
    story.append(make_table(
        winter_data[0], winter_data[1:],
        col_widths=[5*cm, 7*cm, 4.5*cm],
        header_bg=HexColor('#1A5276')
    ))
    story += [sp(8)]

    # Winter's image
    story += img_with_caption(
        os.path.join(BASE_DIR, 'classification.jpg'),
        'Fig 2. Winter\'s Angulation Classification + Pell-Gregory Depth Classification (OPG examples)',
        max_w=PW, max_h=8.5*cm
    )

    story += [sp(8)]
    story.append(StickyNote([
        "NEET MDS order (easiest → hardest): Mesioangular → Vertical → Horizontal → Distoangular",
        "Distoangular = MOST DIFFICULT because the ascending ramus directly blocks delivery.",
        "Horizontal = requires mandatory tooth sectioning (odontectomy) but once cut, easier to deliver.",
    ], bg=HexColor('#FEF9E7'), border=C_YELLOW))

    story += [sp(10)]
    story += subsection('B. PELL & GREGORY CLASSIFICATION')
    story.append(body(
        'Two independent parameters — <b>Class</b> (ramus relationship) and <b>Position</b> (depth).'
    ))
    story += [sp(6)]

    pg_class_data = [
        ['Class', 'Ramus Relationship', 'Clinical Meaning'],
        ['Class I', 'Sufficient space between ramus & 2nd molar', 'Adequate room — easier'],
        ['Class II', 'Space = only HALF the crown width', 'Partial ramus coverage'],
        ['Class III', 'Tooth mostly/entirely within ramus', 'NO space — most difficult'],
    ]
    story.append(make_table(
        pg_class_data[0], pg_class_data[1:],
        col_widths=[2.5*cm, 8*cm, 6*cm],
        header_bg=HexColor('#154360')
    ))
    story += [sp(8)]

    pg_pos_data = [
        ['Position', 'Depth Relative to 2nd Molar', 'Clinical Meaning'],
        ['Position A', 'Occlusal surface AT or ABOVE occlusal plane of 2nd molar', 'Shallowest'],
        ['Position B', 'Between occlusal plane and CEJ of 2nd molar', 'Moderate depth'],
        ['Position C', 'Occlusal surface BELOW CEJ of 2nd molar', 'Deepest — hardest'],
    ]
    story.append(make_table(
        pg_pos_data[0], pg_pos_data[1:],
        col_widths=[2.5*cm, 8.5*cm, 5.5*cm],
        header_bg=HexColor('#154360')
    ))
    story += [sp(8)]
    story.append(RedBox([
        "Class III + Position C = MOST DIFFICULT combination (deepest, ramus-enclosed)",
        "Pell & Gregory = RAMUS relationship (Class) + DEPTH (Position) — two separate parameters",
        "Class I Position A = closest to surface, easiest access",
    ]))
    story.append(PageBreak())

    # ═══════════════════════════════════════════════════════════════════════
    # SECTION 3: INDICATIONS & CONTRAINDICATIONS
    # ═══════════════════════════════════════════════════════════════════════
    story += section_header('3.  INDICATIONS FOR REMOVAL', C_TEAL, '✅')

    ind_data = [
        ['Indication', 'Notes / Details'],
        ['Pericoronitis (recurrent)', 'MOST COMMON indication — infection under operculum'],
        ['Caries', 'In impacted tooth OR distal surface of 2nd molar'],
        ['Periodontal disease', 'Pocketing distal to 2nd molar'],
        ['Dentigerous cyst', 'Most common associated cyst — follicular epithelium'],
        ['Root resorption', 'Pressure on adjacent 2nd molar roots'],
        ['Neuralgia / referred pain', 'IAN compression, trigeminal neuralgia'],
        ['Orthodontic preparation', 'Before bracket placement, prevent crowding relapse'],
        ['Fracture through impacted tooth', 'Risk of osteomyelitis in fracture line'],
        ['Tumour involvement', 'KCOT, ameloblastoma, odontoma'],
        ['Prosthetic reasons', 'Tooth under planned denture base'],
    ]
    story.append(make_table(
        ind_data[0], ind_data[1:],
        col_widths=[6*cm, 10.5*cm],
        header_bg=C_TEAL
    ))
    story += [sp(8)]
    story.append(StickyNote([
        "MOST COMMON indication = Pericoronitis (recurrent episodes, not single episode).",
        "NEVER extract during ACUTE pericoronitis — treat first (48-72 hrs antibiotics).",
        "Dentigerous cyst = crown inside cyst lumen, attaches at CEJ of impacted tooth.",
    ], bg=C_GREEN_BG, border=C_GREEN, icon='✅'))

    story += [sp(10)]
    story += section_header('4.  SURGICAL TECHNIQUE', C_ACCENT2, '🔬')

    story += subsection('INCISIONS USED FOR LOWER 3rd MOLAR')
    incision_data = [
        ['Incision', 'Description', 'Use'],
        ["Ward's incision", 'Horizontal + vertical releasing arm', 'Standard — most common'],
        ["Modified Ward's", 'Modified to preserve papilla', 'Most commonly used TODAY'],
        ['Envelope incision', 'Horizontal only, no vertical', 'Simple cases, good access'],
        ['Triangular flap', 'Two vertical + horizontal', 'Maximum access needed'],
    ]
    story.append(make_table(
        incision_data[0], incision_data[1:],
        col_widths=[4*cm, 6.5*cm, 6*cm],
        header_bg=C_ACCENT2
    ))
    story += [sp(8)]

    story += subsection('STEPS OF SURGICAL REMOVAL')
    steps = [
        ('Step 1', 'Incision', "Ward's / Modified Ward's incision", C_BLUE_BG),
        ('Step 2', 'Flap elevation', 'Mucoperiosteal flap — Molt No.9 periosteal elevator', C_YELLOW_BG),
        ('Step 3', 'Bone removal', 'Bur + handpiece (preferred) OR chisel + mallet', C_GREEN_BG),
        ('Step 4', 'Tooth sectioning', 'Crown-root separation for horizontal impactions', C_RED_LIGHT),
        ('Step 5', 'Elevation & delivery', "Winter's / Cryer's elevator; then forceps", C_BLUE_BG),
        ('Step 6', 'Socket curettage', 'Remove follicle, granulation tissue, debris', C_YELLOW_BG),
        ('Step 7', 'Irrigation', 'Saline lavage — remove bone chips', C_GREEN_BG),
        ('Step 8', 'Wound closure', 'Interrupted sutures (3-0 black silk / Vicryl)', C_BLUE_BG),
    ]
    step_rows = [[Paragraph(f"<b>{s}</b>", STYLE['body_bold']),
                  Paragraph(f"<b>{t}</b>", STYLE['body_bold']),
                  Paragraph(d, STYLE['body'])]
                 for s, t, d, _ in steps]
    step_tbl = Table(step_rows, colWidths=[2.2*cm, 4.5*cm, 9.8*cm])
    bg_colors = [('BACKGROUND', (0, i), (-1, i), c) for i, (_, _, _, c) in enumerate(steps)]
    step_tbl.setStyle(TableStyle([
        ('GRID',         (0, 0), (-1, -1), 0.4, HexColor('#BDC3C7')),
        ('TOPPADDING',   (0, 0), (-1, -1), 5),
        ('BOTTOMPADDING',(0, 0), (-1, -1), 5),
        ('LEFTPADDING',  (0, 0), (-1, -1), 7),
        ('VALIGN',       (0, 0), (-1, -1), 'MIDDLE'),
    ] + bg_colors))
    story.append(step_tbl)
    story.append(PageBreak())

    # ═══════════════════════════════════════════════════════════════════════
    # SECTION 5: COMPLICATIONS
    # ═══════════════════════════════════════════════════════════════════════
    story += section_header('5.  COMPLICATIONS OF EXTRACTION', C_ACCENT1, '⚠️')

    story += subsection('INTRAOPERATIVE COMPLICATIONS')
    intra_data = [
        ['Complication', 'Cause', 'Management'],
        ['Root fracture', 'Excessive force, curved/hypercementosed roots', 'Apexo elevator, sectioning'],
        ['Root into sinus', 'Upper molar, thin sinus floor breach', 'Sinus washout, Caldwell-Luc'],
        ['Root → infratemporal fossa', 'Upper 3rd molar displaced posteriorly', 'Imaging, retrieve separately'],
        ['Oro-antral communication', 'Upper molar, sinus floor perforation', 'Primary closure if small (<5mm)'],
        ['Jaw fracture', 'Excessive force, embedded Class III', 'IMF / plating'],
        ['Tuberosity fracture', 'Upper 3rd molar, excess posterior force', 'Preserve, delay if vascular'],
        ['IAN injury', 'Root close to mandibular canal', 'Monitor; steroids if acute'],
        ['Soft tissue injury', 'Slipping instruments', 'Suture lacerations'],
    ]
    story.append(make_table(
        intra_data[0], intra_data[1:],
        col_widths=[4.5*cm, 6*cm, 6*cm],
        header_bg=C_ACCENT1
    ))

    story += [sp(8)]
    story += subsection('POSTOPERATIVE COMPLICATIONS')
    post_data = [
        ['Complication', 'Onset', 'Key Features'],
        ['Dry Socket (Alveolar Osteitis)', 'Day 2–4', 'Empty socket, throbbing pain, bad odour'],
        ['Wound infection', 'Day 3–7', 'Swelling, pus, fever, trismus'],
        ['Trismus', 'Day 1–3', 'Medial pterygoid spasm; limits mouth opening'],
        ['Haematoma', 'Hours', 'Blood in soft tissue; usually self-limiting'],
        ['Paraesthesia (IAN)', 'Immediate / Days', 'Lower lip / chin numbness'],
        ['Lingual nerve injury', 'Immediate', 'Tongue numbness / taste alteration'],
        ['Osteomyelitis', 'Weeks', 'Persistent pain, exposed bone, fever'],
        ['BRONJ/MRONJ', 'Variable', 'In patients on bisphosphonates / anti-angiogenics'],
    ]
    story.append(make_table(
        post_data[0], post_data[1:],
        col_widths=[5.5*cm, 3*cm, 8*cm],
        header_bg=C_ORANGE
    ))
    story.append(PageBreak())

    # ═══════════════════════════════════════════════════════════════════════
    # SECTION 6: DRY SOCKET
    # ═══════════════════════════════════════════════════════════════════════
    story += section_header('6.  DRY SOCKET (ALVEOLAR OSTEITIS)', C_ACCENT1, '🔥')

    story.append(RedBox([
        "MOST COMMON post-extraction complication overall",
        "Most common site: Mandibular 3rd molar socket",
        "Treatment drug of choice: ALVOGYL dressing",
    ]))
    story += [sp(8)]

    ds_data = [
        ['Feature', 'Details'],
        ['Onset', 'Day 2–4 after extraction'],
        ['Mechanism', 'Premature loss/disintegration of blood clot → exposed bone → severe pain'],
        ['Pain character', 'Severe THROBBING; radiates to ear, temple, eye; NOT relieved by analgesics'],
        ['Incidence', '2–5% routine extractions; 20–30% impacted lower 3rd molar'],
        ['Most common site', 'Mandibular 3rd molar > mandibular 1st molar'],
        ['Smell', 'Fetid halitosis (bare exposed bone with necrotic debris)'],
    ]
    story.append(make_table(
        ds_data[0], ds_data[1:],
        col_widths=[4.5*cm, 12*cm],
        header_bg=C_ACCENT1
    ))
    story += [sp(8)]

    story += subsection('RISK FACTORS')
    rf_data = [
        ['Risk Factor', 'Mechanism'],
        ['SMOKING', 'Vasoconstriction + sucking action dislodges clot (most important)'],
        ['Oral contraceptives', 'Elevated oestrogen → increased fibrinolysis'],
        ['Traumatic extraction', 'Thermal/physical damage to socket'],
        ['Female sex', 'Hormonal influence on fibrinolysis'],
        ['Poor oral hygiene', 'Bacterial contamination promotes clot lysis'],
        ['Previous pericoronitis', 'Pre-existing infection impairs healing'],
    ]
    story.append(make_table(
        rf_data[0], rf_data[1:],
        col_widths=[5*cm, 11.5*cm],
        header_bg=C_ORANGE
    ))
    story += [sp(8)]

    story += subsection('TREATMENT')
    treatment_steps = [
        '1. Gentle irrigation with WARM SALINE (remove debris — do NOT curette)',
        '2. Apply ALVOGYL dressing (iodoform + eugenol + butamben) into socket',
        '3. Change dressing every 3–5 days until granulation tissue forms',
        '4. Systemic analgesics (NSAIDs preferred)',
        '5. Antibiotics only if secondary infection present',
    ]
    for t in treatment_steps:
        story.append(bullet(t))
    story += [sp(8)]

    story += img_with_caption(
        os.path.join(BASE_DIR, 'dry_socket.jpg'),
        'Fig 3. Clinical appearance of dry socket (alveolar osteitis) — empty dark socket with absent blood clot and inflamed surrounding mucosa',
        max_w=PW, max_h=7*cm
    )

    story += [sp(8)]
    story.append(StickyNote([
        "Alvogyl contents: Iodoform (antiseptic) + Eugenol (obtundent) + Butamben (local anaesthetic).",
        "Do NOT over-irrigate or curette — this can damage forming granulation tissue.",
        "Smoking is the SINGLE MOST IMPORTANT risk factor for dry socket.",
    ], bg=C_YELLOW_BG, border=C_YELLOW))
    story.append(PageBreak())

    # ═══════════════════════════════════════════════════════════════════════
    # SECTION 7: OAC & OAF
    # ═══════════════════════════════════════════════════════════════════════
    story += section_header('7.  ORO-ANTRAL COMMUNICATION & FISTULA', C_BLUE_LIGHT, '🔗')

    oac_data = [
        ['Feature', 'OAC (Communication)', 'OAF (Fistula)'],
        ['Definition', 'Fresh perforation into maxillary sinus', 'Epithelialized tract (>48–72 hrs)'],
        ['Lining', 'None (raw edges)', 'Epithelial lining present'],
        ['Most common cause', 'Upper 1st/2nd molar extraction', 'Same — unrepaired OAC'],
        ['Diagnosis', 'Nose-blow test, mirror, probe', 'Clinical + CT sinus'],
        ['Small (<5mm)', 'Primary closure ± figure-8 suture', 'Excise tract + flap'],
        ['Large (>5mm)', 'Surgical flap closure required', 'Rehrmann (buccal) flap'],
    ]
    story.append(make_table(
        oac_data[0], oac_data[1:],
        col_widths=[4*cm, 6.5*cm, 6*cm],
        header_bg=C_BLUE_LIGHT
    ))
    story += [sp(8)]

    story += subsection('FLAP TECHNIQUES FOR OAF CLOSURE')
    flap_data = [
        ['Technique', 'Type', 'Key Feature'],
        ['Rehrmann flap', 'Buccal advancement flap', 'MOST COMMON — trapezoidal flap with periosteal release'],
        ['Henderson flap', 'Palatal rotation flap', 'Based on greater palatine artery; used if buccal fails'],
        ['Buccal fat pad flap', 'Pedicled adipose', 'For large defects; secondary epithelialization'],
        ['Tongue flap', 'Pedicled from tongue', 'Large posterior defects; requires second surgery'],
    ]
    story.append(make_table(
        flap_data[0], flap_data[1:],
        col_widths=[4.5*cm, 5*cm, 7*cm],
        header_bg=C_ACCENT2
    ))
    story += [sp(8)]

    story += img_with_caption(
        os.path.join(BASE_DIR, 'rehrmann.jpg'),
        'Fig 4. Rehrmann buccal advancement flap for OAF closure — blue sutures securing trapezoidal mucoperiosteal flap over the communication',
        max_w=PW, max_h=7*cm
    )
    story += [sp(6)]
    story.append(StickyNote([
        "Rehrmann = FIRST CHOICE for OAF. Periosteal releasing incision = tension-free advancement.",
        "OAC becomes OAF after 48–72 hours (epithelialization of tract).",
        "Henderson palatal flap = based on GREATER PALATINE ARTERY (never cut this!)",
    ], bg=C_BLUE_BG, border=C_BLUE_LIGHT, icon='🔗'))
    story.append(PageBreak())

    # ═══════════════════════════════════════════════════════════════════════
    # SECTION 8: PERICORONITIS & SPACE INFECTIONS
    # ═══════════════════════════════════════════════════════════════════════
    story += section_header('8.  PERICORONITIS & DEEP SPACE INFECTIONS', C_ORANGE, '🦠')

    story += subsection('PERICORONITIS — RAPID REVIEW')
    peri_data = [
        ['Feature', 'Details'],
        ['Definition', 'Inflammation of pericoronal flap (operculum) of partially erupted tooth'],
        ['Commonest tooth', 'Mandibular 3rd molar (almost always)'],
        ['Commonest age group', '20–29 years'],
        ['Cause', 'Food + bacteria trapped under operculum → infection'],
        ['Primary spread', 'Pterygomandibular space (FIRST space)'],
        ['Trismus cause', 'Medial pterygoid muscle spasm (pterygomandibular space)'],
        ['Antibiotic of choice', 'Amoxicillin + Metronidazole (for anaerobes)'],
        ['Acute treatment', 'Irrigation + antibiotics + analgesics; NO extraction'],
        ['Definitive treatment', 'Extraction (after acute resolves) OR operculectomy'],
    ]
    story.append(make_table(
        peri_data[0], peri_data[1:],
        col_widths=[5*cm, 11.5*cm],
        header_bg=C_ORANGE
    ))
    story += [sp(8)]

    story += img_with_caption(
        os.path.join(BASE_DIR, 'pericoronitis.jpg'),
        'Fig 5. Acute pericoronitis — erythematous edematous operculum over partially erupted mandibular 3rd molar',
        max_w=PW*0.6, max_h=6*cm
    )
    story += [sp(8)]

    story.append(RedBox([
        "NEVER extract during acute pericoronitis — wait 48-72 hours on antibiotics first",
        "First space to be infected = PTERYGOMANDIBULAR space",
        "Trismus = medial pterygoid spasm due to pterygomandibular space involvement",
    ]))

    story += [sp(10)]
    story += subsection('SPREAD OF INFECTION — DEEP SPACES')
    space_data = [
        ['Space', 'Key Boundary', 'Infection Source'],
        ['Pterygomandibular', 'Medial pterygoid + ramus', 'Lower 3rd molar (FIRST)'],
        ['Masticator', 'All masticatory muscles + ramus', '3rd molar region'],
        ['Sublingual', 'Above mylohyoid, floor of mouth', 'Lower anteriors/premolars'],
        ['Submandibular', 'Below mylohyoid', 'Lower molars (below mylohyoid)'],
        ['Submental', 'Symphysis to hyoid, midline', 'Lower anteriors'],
        ['Buccal', 'Buccinator + overlying skin', 'Upper/lower premolars & molars'],
        ['Lateral pharyngeal', 'Parapharyngeal region', 'Spread from pterygomandibular'],
        ['Retropharyngeal', 'Behind pharynx', 'Spread from lateral pharyngeal'],
    ]
    story.append(make_table(
        space_data[0], space_data[1:],
        col_widths=[4.5*cm, 6*cm, 6*cm],
        header_bg=C_ACCENT1
    ))
    story += [sp(8)]

    story += subsection("LUDWIG'S ANGINA")
    story.append(body(
        '<b>Definition:</b> Rapidly spreading bilateral cellulitis of the floor of the mouth involving '
        '<b>BILATERAL sublingual + bilateral submandibular + submental spaces</b> simultaneously.'
    ))
    story += [sp(4)]
    ludwig_features = [
        'Potentially LIFE-THREATENING — airway compromise is the main danger',
        'Most common origin: Mandibular 2nd or 3rd molar infection (below mylohyoid)',
        'Hallmark: Bilateral brawny indurated swelling of floor of mouth, elevated tongue',
        'Treatment: Airway management FIRST (intubation / tracheostomy) + IV antibiotics + I&D',
        'Organisms: Mixed flora — viridans streptococci + anaerobes (Bacteroides)',
    ]
    for f in ludwig_features:
        story.append(bullet(f))
    story.append(PageBreak())

    # ═══════════════════════════════════════════════════════════════════════
    # SECTION 9: LOCAL ANAESTHESIA
    # ═══════════════════════════════════════════════════════════════════════
    story += section_header('9.  LOCAL ANAESTHESIA FOR EXTRACTION', C_TEAL, '💉')

    story += subsection('MANDIBULAR NERVE BLOCKS')
    la_mand_data = [
        ['Block', 'Technique', 'Teeth / Region Anaesthetised'],
        ['IANB (Inferior Alveolar NB)', 'Pterygomandibular triangle', 'All ipsilateral lower teeth'],
        ['Long Buccal NB', 'Buccal fold, distal to 3rd molar', 'Buccal gingiva of lower molars'],
        ['Mental NB', 'Mental foramen (premolar area)', 'Lower anterior soft tissue'],
        ['Incisive NB', 'Mental foramen, inject & wait', 'Lower anteriors + premolars (pulp)'],
        ['Gow-Gates', 'High condylar injection (neck of condyle)', 'ALL branches of V3 (highest success)'],
        ['Vazirani-Akinosi', 'Closed-mouth technique (trismus)', 'IAN + Lingual (for trismus patients)'],
    ]
    story.append(make_table(
        la_mand_data[0], la_mand_data[1:],
        col_widths=[4.5*cm, 5.5*cm, 6.5*cm],
        header_bg=C_TEAL
    ))
    story += [sp(8)]

    story += subsection('MAXILLARY NERVE BLOCKS')
    la_max_data = [
        ['Block', 'Teeth Anaesthetised', 'Notes'],
        ['PSA (Posterior Superior Alveolar)', 'Upper molars (except MB root of 1st)', 'Risk: Haematoma in pterygoid plexus'],
        ['MSA (Middle Superior Alveolar)', 'Upper premolars + MB root of 1st molar', 'Absent in ~28% — then ASA covers'],
        ['ASA (Anterior Superior Alveolar)', 'Upper canine + incisors (pulp)', 'Via infraorbital approach'],
        ['Infraorbital block', 'ASA + MSA combined', 'One injection for anteriors + premolars'],
        ['Greater palatine block', 'Palatal gingiva — premolars & molars', 'Near greater palatine foramen'],
        ['Nasopalatine block', 'Palatal gingiva — upper anteriors', 'Behind incisive papilla'],
    ]
    story.append(make_table(
        la_max_data[0], la_max_data[1:],
        col_widths=[5*cm, 6*cm, 5.5*cm],
        header_bg=HexColor('#117A65')
    ))
    story += [sp(8)]
    story.append(RedBox([
        "Gow-Gates = HIGHEST success rate (~95%) + LOWEST positive aspiration rate among mandibular blocks",
        "Vazirani-Akinosi = for TRISMUS patients (closed-mouth technique)",
        "PSA block risk = haematoma (pterygoid venous plexus) — keep needle at 45 degrees",
    ]))
    story.append(PageBreak())

    # ═══════════════════════════════════════════════════════════════════════
    # SECTION 10: PYQs
    # ═══════════════════════════════════════════════════════════════════════
    story += section_header('10.  PREVIOUS YEAR QUESTIONS (PYQs)', C_PURPLE, '📝')
    story += [sp(4)]

    pyqs = [
        (1, "The most commonly impacted tooth is:",
         ["Maxillary canine", "Mandibular 3rd molar", "Maxillary 3rd molar", "Mandibular 2nd premolar"],
         1,
         "Mandibular 3rd molar is the most commonly impacted tooth due to insufficient retromolar space "
         "from evolutionary jaw size reduction. Maxillary canine is the most common impacted CANINE only."),

        (2, "According to Winter's classification, which impaction is EASIEST to remove?",
         ["Horizontal", "Distoangular", "Mesioangular", "Vertical"],
         2,
         "Mesioangular impaction — the long axis tilts mesially, allowing a purchase point distally on the "
         "crown for elevator application. The crown can be elevated mesially in a natural arch. "
         "Order: Mesioangular (easiest) → Vertical → Horizontal → Distoangular (hardest)."),

        (3, "The MOST DIFFICULT impaction to remove surgically is:",
         ["Mesioangular", "Vertical", "Horizontal", "Distoangular"],
         3,
         "Distoangular is the most difficult because the ascending ramus blocks the path of delivery posteriorly. "
         "Bone must be removed from the ramus to create space. Note: horizontal requires sectioning but delivery "
         "is easier once cut. Distoangular has no escape route."),

        (4, "Pell & Gregory Class III, Position C indicates:",
         ["Easy extraction, tooth at occlusal level", "Moderate depth, partial ramus",
          "Deepest impaction, completely within ramus", "Tooth above CEJ with sufficient space"],
         2,
         "Class III = no space between ramus and 2nd molar (completely within ramus). "
         "Position C = occlusal surface below CEJ of 2nd molar (deepest). "
         "Combined = most difficult extraction — hardest access, requires maximum bone removal."),

        (5, "Most common complication after surgical removal of impacted mandibular 3rd molar:",
         ["IAN paresthesia", "Oro-antral fistula", "Dry socket (alveolar osteitis)", "Osteomyelitis"],
         2,
         "Dry socket occurs in 20-30% of impacted lower 3rd molar extractions (vs 2-5% routine). "
         "It results from premature clot dissolution exposing bare bone, causing severe throbbing pain "
         "radiating to the ear, onset day 2-4."),

        (6, "Which nerve is MOST COMMONLY injured during lower 3rd molar surgery?",
         ["Inferior alveolar nerve", "Lingual nerve", "Long buccal nerve", "Facial nerve"],
         1,
         "The lingual nerve lies immediately beneath the mucosa on the lingual aspect of the mandible "
         "at the 3rd molar region — no bony protection. Temporary injury ~10%; permanent <1%. "
         "IAN is deep in the mandibular canal and less frequently injured."),

        (7, "Drug of choice for dressing dry socket is:",
         ["Zinc oxide eugenol paste", "Chlorhexidine gel", "Alvogyl", "Bismuth iodoform paraffin paste (BIPP)"],
         2,
         "Alvogyl contains iodoform (antiseptic/deodorizing) + eugenol (obtundent/analgesic) + butamben "
         "(local anaesthetic). It is the gold standard for dry socket management. Changed every 3-5 days."),

        (8, "The Rehrmann flap procedure is used for:",
         ["Dry socket treatment", "Closure of oro-antral fistula",
          "Pericoronitis operculectomy", "Dentigerous cyst marsupialization"],
         1,
         "Rehrmann buccal advancement flap is the FIRST-CHOICE technique for OAF closure. "
         "It involves a trapezoidal mucoperiosteal flap raised on the buccal side with a periosteal "
         "releasing incision for tension-free advancement over the fistula opening."),

        (9, "Standard incision for surgical removal of impacted mandibular 3rd molar:",
         ["Semilunar incision", "Envelope incision", "Modified Ward's incision", "Linear incision"],
         2,
         "Modified Ward's incision is the standard — horizontal component along gingival sulcus of "
         "2nd molar + vertical releasing incision anteriorly. Provides adequate access while "
         "preserving interdental papilla. Pure envelope = good access but less retraction."),

        (10, "Gow-Gates technique of mandibular nerve block anaesthetises:",
         ["Inferior alveolar nerve only", "IAN + lingual nerve only",
          "All branches of mandibular nerve (V3)", "IAN + long buccal nerve only"],
         2,
         "Gow-Gates is a HIGH CONDYLAR injection directed to the neck of the condyle near the "
         "mandibular nerve trunk. Anaesthetises ALL V3 branches: IAN, lingual, long buccal, "
         "mylohyoid, mental, incisive. Highest success rate (~95%)."),

        (11, "Pericoronitis MOST COMMONLY involves which tooth?",
         ["Maxillary 3rd molar", "Maxillary canine",
          "Mandibular 3rd molar", "Mandibular 2nd premolar"],
         2,
         "Mandibular 3rd molar — partially erupted with an operculum where food and bacteria accumulate. "
         "The upper teeth are less prone due to different eruption patterns and the opposing tooth "
         "trauma from the upper 3rd molar can also contribute."),

        (12, "Most common CYST associated with an impacted tooth is:",
         ["Radicular cyst", "Lateral periodontal cyst", "Dentigerous cyst", "Keratocystic odontogenic tumour"],
         2,
         "Dentigerous (follicular) cyst develops from reduced enamel epithelium of an unerupted/impacted tooth. "
         "Crown lies INSIDE the cyst lumen; cyst attaches at CEJ. It is the most common developmental "
         "odontogenic cyst. KCOT can also be associated but is less common than dentigerous."),

        (13, "Ludwig's angina primarily involves:",
         ["Parotid + masticator spaces bilaterally",
          "Bilateral sublingual + bilateral submandibular + submental spaces",
          "Pterygomandibular space bilaterally", "Buccal space bilaterally"],
         1,
         "Ludwig's angina = bilateral sublingual + bilateral submandibular + submental spaces. "
         "Most dangerous for airway. Floor of mouth becomes board-like and elevated, pushing tongue upward. "
         "Origin: usually mandibular 2nd/3rd molar below mylohyoid → submandibular → spreads."),

        (14, "Cow-horn forceps (No.23) works by which mechanism?",
         ["Rotation of the tooth", "Pumping action engaging the bifurcation",
          "Simple traction", "Rotational + traction combined"],
         1,
         "Cow-horn (No.23) forceps have pointed beaks that engage the BIFURCATION of lower molars "
         "buccally and lingually. Application of a PUMPING (up-down) force wedges beaks into the "
         "bifurcation, expanding the socket and luxating the tooth. No rotation is used."),

        (15, "The technique of choice for trismus patients requiring mandibular nerve block is:",
         ["Gow-Gates technique", "Standard IANB", "Vazirani-Akinosi technique", "Mental nerve block"],
         2,
         "Vazirani-Akinosi (closed-mouth) technique is specifically designed for patients with trismus "
         "who cannot open their mouth for standard IANB. Needle is inserted near the coronoid notch "
         "with the mouth CLOSED, anaesthetising IAN and lingual nerve."),
    ]

    for q in pyqs:
        story += pyq_block(*q)

    story.append(PageBreak())

    # ═══════════════════════════════════════════════════════════════════════
    # SECTION 11: QUICK RECALL STICKY NOTES
    # ═══════════════════════════════════════════════════════════════════════
    story += section_header('11.  QUICK RECALL — LAST MINUTE REVISION', HexColor('#1A5276'), '⭐')

    # Two-column layout for sticky notes
    left_notes = [
        RedBox([
            "Most common impacted tooth: Mandibular 3rd molar",
            "Most common impacted canine: Maxillary canine (palatal)",
            "Least commonly impacted: Mandibular canine",
            "Easiest angulation (Winter's): Mesioangular",
            "Most difficult (Winter's): Distoangular",
            "Most difficult (Pell & Gregory): Class III Position C",
        ]),
        sp(8),
        StickyNote([
            "Dry socket onset: Day 2-4 post extraction",
            "Dry socket Rx: Alvogyl dressing",
            "Dry socket risk #1: Smoking",
            "Dry socket incidence in 3rd molar: 20-30%",
            "OAF repair: Rehrmann (buccal advancement flap)",
            "OAC → OAF: after 48-72 hrs epithelialization",
        ], bg=C_YELLOW_BG, border=C_YELLOW),
    ]

    right_notes = [
        StickyNote([
            "Gow-Gates = highest success rate LA block",
            "Vazirani-Akinosi = closed mouth (trismus)",
            "Most injured nerve = Lingual nerve",
            "IAN injury = lip/chin numbness",
            "Never extract in ACUTE pericoronitis",
            "First space infected = Pterygomandibular",
        ], bg=C_GREEN_BG, border=C_GREEN, icon='💉'),
        sp(8),
        StickyNote([
            "Dentigerous cyst = most common cyst of impacted tooth",
            "Crown inside cyst lumen; attaches at CEJ",
            "Ludwig's angina = bilateral sublingual +",
            "  submandibular + submental spaces",
            "Cow-horn forceps = pumping into bifurcation",
            "Modified Ward's = standard 3rd molar incision",
        ], bg=C_BLUE_BG, border=C_BLUE_LIGHT, icon='📌'),
    ]

    left_col  = [item for item in left_notes]
    right_col = [item for item in right_notes]

    # Flatten into two-column table
    left_items  = [l for l in left_notes]
    right_items = [l for l in right_notes]
    two_col = Table(
        [[left_items, right_items]],
        colWidths=[PW/2 - 5, PW/2 - 5],
        style=TableStyle([
            ('VALIGN', (0, 0), (-1, -1), 'TOP'),
            ('LEFTPADDING', (0, 0), (-1, -1), 3),
            ('RIGHTPADDING', (0, 0), (-1, -1), 3),
        ])
    )
    story.append(two_col)
    story += [sp(16)]

    # Final summary table
    story += subsection('MASTER RECALL TABLE — ALL KEY FACTS')
    master_data = [
        ['Topic', 'Answer'],
        ['Most common impacted tooth', 'Mandibular 3rd molar'],
        ['Most common impacted canine', 'Maxillary canine (palatal 2:1)'],
        ["Easiest (Winter's)", 'Mesioangular'],
        ["Most difficult (Winter's)", 'Distoangular'],
        ['Most difficult (Pell & Gregory)', 'Class III, Position C'],
        ['Most common post-extraction complication', 'Dry socket (alveolar osteitis)'],
        ['Dry socket treatment', 'Alvogyl dressing (iodoform + eugenol + butamben)'],
        ['Most common nerve injured in 3rd molar surgery', 'Lingual nerve'],
        ['OAF repair (1st choice)', 'Rehrmann buccal advancement flap'],
        ['OAC → OAF conversion time', '48–72 hours (epithelialization)'],
        ['Best success mandibular LA block', 'Gow-Gates (~95% success)'],
        ['LA for trismus', 'Vazirani-Akinosi (closed-mouth)'],
        ['Pericoronitis first space', 'Pterygomandibular space'],
        ['Ludwig\'s angina spaces', 'Bilateral sublingual + submandibular + submental'],
        ['Most common cyst of impacted tooth', 'Dentigerous (follicular) cyst'],
        ['Standard 3rd molar incision', "Modified Ward's incision"],
        ['Cow-horn forceps mechanism', 'Pumping action into bifurcation'],
        ['NEVER do in acute pericoronitis', 'Extraction (risk of spreading infection)'],
    ]
    story.append(make_table(
        master_data[0], master_data[1:],
        col_widths=[8.5*cm, 8*cm],
        header_bg=C_BG_DARK,
        alt_color=C_TABLE_ALT2
    ))

    story += [sp(16)]
    story.append(ColorBox(
        'All the best for NEET MDS!  Master these key facts and you are set.',
        C_ACCENT1, C_WHITE, width=PW, height=35, font='Helvetica-Bold', font_size=13
    ))

    # ── Build ──────────────────────────────────────────────────────────────
    doc.build(story)
    print(f"PDF created: {OUTPUT}")


if __name__ == '__main__':
    build_pdf()

#!/usr/bin/env python3
"""
NEET MDS — Exodontia & Impactions  |  Quick Reference Cheat Sheet
Single A3 landscape page — dense grid layout using ReportLab canvas directly
"""

from reportlab.pdfgen import canvas
from reportlab.lib.pagesizes import A3, landscape
from reportlab.lib.units import mm, cm
from reportlab.lib.colors import HexColor, white, black
from reportlab.platypus import Table, TableStyle, Paragraph, SimpleDocTemplate, Spacer, Image
from reportlab.lib.styles import ParagraphStyle
from reportlab.lib.enums import TA_CENTER, TA_LEFT
import os

BASE = '/tmp/workspace/neet-mds-pdf'
OUT  = os.path.join(BASE, 'NEET_MDS_CheatSheet.pdf')

# ── Palette ──────────────────────────────────────────────────────────────────
NAVY    = HexColor('#0D1B2A')
RED     = HexColor('#C0392B')
ORANGE  = HexColor('#E67E22')
GREEN   = HexColor('#1E8449')
BLUE    = HexColor('#1A5276')
PURPLE  = HexColor('#6C3483')
TEAL    = HexColor('#117A65')
YELLOW  = HexColor('#D4AC0D')
DKGRAY  = HexColor('#2C3E50')
LTGRAY  = HexColor('#F2F3F4')
LTBLUE  = HexColor('#D6EAF8')
LTYELL  = HexColor('#FEF9E7')
LTGRN   = HexColor('#EAFAF1')
LTRED   = HexColor('#FADBD8')
LTPUR   = HexColor('#F5EEF8')
LTTEAL  = HexColor('#D1F2EB')

W, H = landscape(A3)   # 420 x 297 mm
M    = 8 * mm           # margin

def draw_rounded_rect(c, x, y, w, h, r=4, fill_color=None, stroke_color=None, lw=0.5):
    if fill_color:
        c.setFillColor(fill_color)
    if stroke_color:
        c.setStrokeColor(stroke_color)
        c.setLineWidth(lw)
    c.roundRect(x, y, w, h, r,
                fill=1 if fill_color else 0,
                stroke=1 if stroke_color else 0)

def header_band(c, x, y, w, h, bg, text, text_color=white, font='Helvetica-Bold', fsize=9):
    draw_rounded_rect(c, x, y, w, h, r=3, fill_color=bg)
    c.setFillColor(text_color)
    c.setFont(font, fsize)
    c.drawString(x + 5, y + (h - fsize) / 2 + 1.5, text)

def cell_text(c, x, y, w, h, text, font='Helvetica', fsize=7.5,
              color=black, bg=None, bold_first=False, center=False):
    if bg:
        draw_rounded_rect(c, x, y, w, h, r=2, fill_color=bg)
    c.setFillColor(color)
    if center:
        c.setFont(font + '-Bold' if bold_first else font, fsize)
        c.drawCentredString(x + w / 2, y + (h - fsize) / 2 + 1, text)
    else:
        c.setFont('Helvetica-Bold' if bold_first else font, fsize)
        c.drawString(x + 4, y + (h - fsize) / 2 + 1, text)

def mini_table(c, x, y, col_widths, rows, row_h=13,
               header_bg=NAVY, header_fg=white,
               alt1=white, alt2=LTBLUE, font_size=7.2):
    """Draw a mini table at (x,y) going upward (y is bottom)."""
    total_h = len(rows) * row_h
    current_y = y + total_h  # start from top
    for ri, row in enumerate(rows):
        current_y -= row_h
        bg = header_bg if ri == 0 else (alt1 if ri % 2 == 1 else alt2)
        fg = header_fg if ri == 0 else black
        rx = x
        for ci, (cell, cw) in enumerate(zip(row, col_widths)):
            draw_rounded_rect(c, rx, current_y, cw, row_h, r=0,
                              fill_color=bg, stroke_color=HexColor('#BDC3C7'), lw=0.3)
            c.setFillColor(fg)
            fn = 'Helvetica-Bold' if ri == 0 or (ci == 0 and ri > 0) else 'Helvetica'
            c.setFont(fn, font_size)
            # clip text to cell width
            c.drawString(rx + 3, current_y + (row_h - font_size) / 2 + 1, str(cell))
            rx += cw
    return total_h

def dot_bullet(c, x, y, text, color=NAVY, fsize=7.2, dot_color=None):
    c.setFillColor(dot_color or color)
    c.circle(x + 3, y + fsize / 2, 2, fill=1, stroke=0)
    c.setFillColor(color)
    c.setFont('Helvetica', fsize)
    c.drawString(x + 8, y, text)

def badge(c, x, y, text, bg, fg=white, w=None, h=11, fsize=7):
    tw = c.stringWidth(text, 'Helvetica-Bold', fsize)
    bw = w or tw + 10
    draw_rounded_rect(c, x, y, bw, h, r=3, fill_color=bg)
    c.setFillColor(fg)
    c.setFont('Helvetica-Bold', fsize)
    c.drawCentredString(x + bw / 2, y + (h - fsize) / 2 + 1, text)
    return bw + 3


# ════════════════════════════════════════════════════════════════════════════
def build():
    c = canvas.Canvas(OUT, pagesize=landscape(A3))
    c.setTitle('NEET MDS Cheat Sheet — Exodontia & Impactions')

    # ── BACKGROUND ──────────────────────────────────────────────────────────
    c.setFillColor(HexColor('#F8F9FA'))
    c.rect(0, 0, W, H, fill=1, stroke=0)

    # ── TITLE BAR ───────────────────────────────────────────────────────────
    c.setFillColor(NAVY)
    c.rect(0, H - 22*mm, W, 22*mm, fill=1, stroke=0)
    c.setFillColor(RED)
    c.rect(0, H - 26*mm, W, 4*mm, fill=1, stroke=0)

    c.setFillColor(white)
    c.setFont('Helvetica-Bold', 18)
    c.drawString(M, H - 15*mm, '🦷  NEET MDS  |  EXODONTIA & IMPACTIONS  —  QUICK REFERENCE CHEAT SHEET')
    c.setFont('Helvetica', 8)
    c.setFillColor(HexColor('#BDC3C7'))
    c.drawRightString(W - M, H - 15*mm, 'Oral & Maxillofacial Surgery  •  High-Yield Only')

    # Content area starts below title
    TOP    = H - 28*mm
    BOT    = M + 6*mm
    CHEIGHT = TOP - BOT   # ~249 mm usable

    # ── GRID: 5 columns ──────────────────────────────────────────────────────
    GAP  = 3 * mm
    NCOL = 5
    CW   = (W - 2*M - (NCOL-1)*GAP) / NCOL   # ~77 mm each

    def col_x(n):   # n = 0..4
        return M + n * (CW + GAP)

    def col_rect(n, y_bot, height, bg=white, stroke=None):
        draw_rounded_rect(c, col_x(n), y_bot, CW, height, r=5,
                          fill_color=bg, stroke_color=stroke or HexColor('#D5D8DC'), lw=0.6)

    # ══════════════════════════════════════════════════════════════════════
    # COL 0 — ELEVATORS + FORCEPS MNEMONICS
    # ══════════════════════════════════════════════════════════════════════
    cx = col_x(0)
    cy = TOP

    # Panel: Elevators
    panel_h = 72 * mm
    col_rect(0, cy - panel_h, panel_h, bg=LTBLUE)
    header_band(c, cx, cy - 11*mm, CW, 11*mm, BLUE, '🔧  ELEVATORS', fsize=8.5)

    elev_rows = [
        ['Elevator', 'Use'],
        ['Warwick James (straight)', 'Upper teeth / PDL disruption'],
        ["Cryer's (L+R paired)", 'Lower molar ROOTS'],
        ["Winter's cross-bar", 'Impacted lower 3rd molar'],
        ['Apexo (thin tip)', 'Root fragments / apical 1/3'],
        ["Molt No.9 (periosteal)", 'Raise mucoperiosteal flap'],
    ]
    mini_table(c, cx + 2, cy - panel_h + 2, [37*mm, CW - 41*mm], elev_rows,
               row_h=12, header_bg=BLUE, alt1=white, alt2=LTBLUE, font_size=6.8)

    # Principles badge row
    by = cy - panel_h + 3*mm
    bx = cx + 3
    bx += badge(c, bx, by, 'LEVER', HexColor('#1A5276'))
    bx += badge(c, bx, by, 'WHEEL-AXLE', HexColor('#117A65'))
    bx += badge(c, bx, by, 'WEDGE', HexColor('#6C3483'))

    cy -= panel_h + GAP

    # Panel: Key Forceps
    panel_h2 = 72 * mm
    col_rect(0, cy - panel_h2, panel_h2, bg=LTTEAL)
    header_band(c, cx, cy - 11*mm, CW, 11*mm, TEAL, '🦷  KEY FORCEPS', fsize=8.5)

    forc_rows = [
        ['No.', 'Tooth'],
        ['1', 'Upper incisors & canines'],
        ['2 / 2A', 'Upper premolars'],
        ['17 / 18L/R', 'Upper molars'],
        ['Bayonet 67', 'Upper 3rd molar (access)'],
        ['74', 'Lower incisors'],
        ['77R / 77L', 'Lower right / left molars'],
        ['23 (Cow-Horn)', 'Lower molar bifurcation'],
    ]
    mini_table(c, cx + 2, cy - panel_h2 + 2, [18*mm, CW - 22*mm], forc_rows,
               row_h=11, header_bg=TEAL, alt1=white, alt2=LTTEAL, font_size=6.8)
    cy -= panel_h2 + GAP

    # Panel: Movements
    panel_h3 = TOP - panel_h - panel_h2 - 2*GAP - BOT
    col_rect(0, BOT, panel_h3, bg=LTYELL)
    header_band(c, cx, BOT + panel_h3 - 11*mm, CW, 11*mm, ORANGE, '↕  EXTRACTION MOVEMENTS', fsize=8.5)
    mov_rows = [
        ['Tooth', 'Movement'],
        ['Upper anteriors', 'Lab+Pal+ROTATION'],
        ['Upper premolars', 'Lab+Pal  NO rotation'],
        ['Upper molars', 'Fig-8 (buc+pal)'],
        ['Lower anteriors', 'Lab+Lin+ROTATION'],
        ['Lower premolars', 'Buc+Lin ± rotation'],
        ['Lower molars', 'Fig-8  NO rotation'],
    ]
    mini_table(c, cx + 2, BOT + 2, [30*mm, CW - 34*mm], mov_rows,
               row_h=11, header_bg=ORANGE, alt1=white, alt2=LTYELL, font_size=6.8)

    # ══════════════════════════════════════════════════════════════════════
    # COL 1 — IMPACTION CLASSIFICATIONS
    # ══════════════════════════════════════════════════════════════════════
    cx = col_x(1)
    cy = TOP

    # Image strip
    img_h = 42 * mm
    try:
        from PIL import Image as PILImage
        with PILImage.open(os.path.join(BASE, 'classification.jpg')) as im:
            iw, ih = im.size
        ratio = iw / ih
        disp_w = CW - 4
        disp_h = disp_w / ratio
        if disp_h > img_h:
            disp_h = img_h
            disp_w = disp_h * ratio
        img_x = cx + (CW - disp_w) / 2
        c.drawImage(os.path.join(BASE, 'classification.jpg'),
                    img_x, TOP - img_h, width=disp_w, height=disp_h,
                    preserveAspectRatio=True)
        c.setFillColor(HexColor('#7F8C8D'))
        c.setFont('Helvetica-Oblique', 6)
        c.drawCentredString(cx + CW/2, TOP - img_h - 5, "Fig: Winter's + Pell-Gregory OPG")
    except:
        pass
    cy = TOP - img_h - 8*mm

    # Winter's classification
    panel_h = 58 * mm
    col_rect(1, cy - panel_h, panel_h, bg=LTRED)
    header_band(c, cx, cy - 11*mm, CW, 11*mm, RED, "❄  WINTER'S CLASSIFICATION", fsize=8)

    winter_rows = [
        ['Angulation', 'Difficulty'],
        ['Mesioangular', '⭐ EASIEST'],
        ['Vertical',     '⭐⭐ Easy-Mod'],
        ['Horizontal',   '⭐⭐⭐ Difficult'],
        ['Distoangular', '⭐⭐⭐⭐ HARDEST'],
        ['Bucco/Linguoangular', 'Variable'],
    ]
    mini_table(c, cx+2, cy - panel_h + 10*mm, [38*mm, CW-42*mm], winter_rows,
               row_h=11, header_bg=RED, alt1=white, alt2=LTRED, font_size=7)

    # Red badge
    c.setFillColor(RED)
    c.setFont('Helvetica-Bold', 7)
    c.drawString(cx+4, cy - panel_h + 5, '🔴 Distoangular = MOST DIFFICULT (ramus blocks delivery)')

    cy -= panel_h + GAP

    # Pell & Gregory
    panel_h = 62 * mm
    col_rect(1, cy - panel_h, panel_h, bg=LTBLUE)
    header_band(c, cx, cy - 11*mm, CW, 11*mm, BLUE, '📐  PELL & GREGORY', fsize=8.5)

    pg_rows = [
        ['Class', 'Ramus Space'],
        ['Class I', 'Full crown width'],
        ['Class II', 'Half crown width'],
        ['Class III', 'NO space (in ramus)'],
    ]
    mini_table(c, cx+2, cy - panel_h + 34*mm, [22*mm, CW-26*mm], pg_rows,
               row_h=11, header_bg=BLUE, alt1=white, alt2=LTBLUE, font_size=7)

    pos_rows = [
        ['Pos', 'Depth vs 2nd Molar'],
        ['A', 'At/above occlusal plane'],
        ['B', 'Below occlusal, above CEJ'],
        ['C', 'Below CEJ  ← DEEPEST'],
    ]
    mini_table(c, cx+2, cy - panel_h + 4, [14*mm, CW-18*mm], pos_rows,
               row_h=10, header_bg=BLUE, alt1=white, alt2=LTBLUE, font_size=7)

    # Hardest badge
    c.setFillColor(RED)
    c.setFont('Helvetica-Bold', 7.5)
    c.drawString(cx+4, cy - panel_h + 34*mm - 10, '🔴 Class III + Position C = MOST DIFFICULT')

    cy -= panel_h + GAP

    # Frequency panel
    panel_h = TOP - 42*mm - 58*mm - 62*mm - 3*GAP - BOT
    col_rect(1, BOT, panel_h, bg=LTGRN)
    header_band(c, cx, BOT + panel_h - 11*mm, CW, 11*mm, GREEN, '📊  IMPACTION FREQUENCY', fsize=8.5)

    freq_rows = [
        ['Rank', 'Tooth'],
        ['1st', 'Mand 3rd molar ← MOST COMMON'],
        ['2nd', 'Max 3rd molar'],
        ['3rd', 'Max canine (palatal 2:1)'],
        ['4th', 'Mand 2nd premolar'],
        ['Least', 'Mand canine'],
    ]
    mini_table(c, cx+2, BOT+2, [14*mm, CW-18*mm], freq_rows,
               row_h=11, header_bg=GREEN, alt1=white, alt2=LTGRN, font_size=7)

    # ══════════════════════════════════════════════════════════════════════
    # COL 2 — DRY SOCKET + OAC/OAF
    # ══════════════════════════════════════════════════════════════════════
    cx = col_x(2)
    cy = TOP

    # Dry socket image
    ds_img_h = 36 * mm
    try:
        c.drawImage(os.path.join(BASE, 'dry_socket.jpg'),
                    cx, cy - ds_img_h, width=CW, height=ds_img_h,
                    preserveAspectRatio=True, anchor='n')
        c.setFillColor(HexColor('#7F8C8D'))
        c.setFont('Helvetica-Oblique', 6)
        c.drawCentredString(cx + CW/2, cy - ds_img_h - 4, 'Fig: Dry socket — empty socket, inflamed gingiva')
    except:
        pass
    cy = cy - ds_img_h - 7*mm

    # Dry socket panel
    panel_h = 82 * mm
    col_rect(2, cy - panel_h, panel_h, bg=LTRED)
    header_band(c, cx, cy - 11*mm, CW, 11*mm, RED, '🔥  DRY SOCKET (ALVEOLAR OSTEITIS)', fsize=7.8)

    ds_rows = [
        ['Feature', 'Detail'],
        ['Onset', 'Day 2–4 post extraction'],
        ['Mechanism', 'Clot loss → exposed bone'],
        ['Pain', 'Throbbing, radiates to ear'],
        ['Incidence', '2-5% routine; 20-30% 3rd molar'],
        ['Most common site', 'Mand 3rd molar socket'],
    ]
    mini_table(c, cx+2, cy - panel_h + 38*mm, [26*mm, CW-30*mm], ds_rows,
               row_h=11, header_bg=RED, alt1=white, alt2=LTRED, font_size=6.8)

    # Risk factors
    c.setFillColor(ORANGE)
    c.setFont('Helvetica-Bold', 7.5)
    c.drawString(cx+4, cy - panel_h + 37*mm, 'Risk Factors:')
    risks = ['Smoking (No.1)', 'OCP (oestrogen)', 'Traumatic extraction', 'Female sex', 'Poor OHI']
    ry = cy - panel_h + 26*mm
    for r_ in risks:
        dot_bullet(c, cx+4, ry, r_, color=HexColor('#7B241C'), dot_color=RED, fsize=7)
        ry -= 9

    # Treatment
    c.setFillColor(GREEN)
    c.setFont('Helvetica-Bold', 7.5)
    c.drawString(cx+4, cy - panel_h + 4, 'Treatment:  ► Alvogyl dressing (change q3-5 days)  ►Warm saline irrigation')

    cy -= panel_h + GAP

    # OAC/OAF panel
    panel_h2 = TOP - ds_img_h - 7*mm - 82*mm - 2*GAP - BOT
    col_rect(2, BOT, panel_h2, bg=LTBLUE)
    header_band(c, cx, BOT + panel_h2 - 11*mm, CW, 11*mm, BLUE, '🔗  OAC & OAF', fsize=8.5)

    oac_rows = [
        ['', 'OAC', 'OAF'],
        ['Time', 'Fresh (<48h)', '>48h (epithelialized)'],
        ['Rx small', 'Primary suture', 'Excise + flap'],
        ['Rx large', 'Flap closure', 'Rehrmann flap'],
    ]
    mini_table(c, cx+2, BOT + 18*mm, [14*mm, 27*mm, CW-45*mm], oac_rows,
               row_h=11, header_bg=BLUE, alt1=white, alt2=LTBLUE, font_size=6.5)

    # Rehrmann image
    try:
        c.drawImage(os.path.join(BASE, 'rehrmann.jpg'),
                    cx, BOT + 2, width=CW, height=17*mm,
                    preserveAspectRatio=True, anchor='s')
    except:
        pass

    # ══════════════════════════════════════════════════════════════════════
    # COL 3 — PERICORONITIS + SPACES + NERVE INJURIES
    # ══════════════════════════════════════════════════════════════════════
    cx = col_x(3)
    cy = TOP

    # Pericoronitis image
    pc_img_h = 32 * mm
    try:
        c.drawImage(os.path.join(BASE, 'pericoronitis.jpg'),
                    cx, cy - pc_img_h, width=CW, height=pc_img_h,
                    preserveAspectRatio=True)
        c.setFillColor(HexColor('#7F8C8D'))
        c.setFont('Helvetica-Oblique', 6)
        c.drawCentredString(cx+CW/2, cy - pc_img_h - 4, 'Fig: Acute pericoronitis — inflamed operculum')
    except:
        pass
    cy = cy - pc_img_h - 7*mm

    # Pericoronitis panel
    panel_h = 68 * mm
    col_rect(3, cy - panel_h, panel_h, bg=LTYELL)
    header_band(c, cx, cy - 11*mm, CW, 11*mm, ORANGE, '🦠  PERICORONITIS', fsize=8.5)

    pc_rows = [
        ['Feature', 'Detail'],
        ['Tooth', 'Mand 3rd molar (almost always)'],
        ['Age', '20–29 years'],
        ['First space', 'Pterygomandibular'],
        ['Trismus cause', 'Medial pterygoid spasm'],
        ['Antibiotics', 'Amox + Metronidazole'],
        ['Acute Rx', 'Irrigate + Abx (NO extraction)'],
        ['Def. Rx', 'Extraction / Operculectomy'],
    ]
    mini_table(c, cx+2, cy - panel_h + 2, [24*mm, CW-28*mm], pc_rows,
               row_h=10.5, header_bg=ORANGE, alt1=white, alt2=LTYELL, font_size=6.8)

    cy -= panel_h + GAP

    # Space infections panel
    panel_h2 = 50 * mm
    col_rect(3, cy - panel_h2, panel_h2, bg=LTRED)
    header_band(c, cx, cy - 11*mm, CW, 11*mm, RED, '⚠  SPACE INFECTIONS', fsize=8.5)

    spc_rows = [
        ['Space', 'Source'],
        ['Pterygomandibular', 'Lower 3rd molar (FIRST)'],
        ['Submandibular', 'Lower molars (below mylohyoid)'],
        ['Sublingual', 'Lower ant/premolar (above)'],
        ['Buccal', 'Upper/lower premolars'],
        ['Lateral pharyngeal', 'Spread from pterygomand.'],
    ]
    mini_table(c, cx+2, cy - panel_h2 + 10*mm, [30*mm, CW-34*mm], spc_rows,
               row_h=10, header_bg=RED, alt1=white, alt2=LTRED, font_size=6.8)

    # Ludwig badge
    draw_rounded_rect(c, cx+2, cy - panel_h2 + 2, CW-4, 9*mm, r=3,
                      fill_color=NAVY, stroke_color=RED, lw=1)
    c.setFillColor(white)
    c.setFont('Helvetica-Bold', 7)
    c.drawString(cx+5, cy - panel_h2 + 5, "Ludwig's = Bilateral sublingual + submandibular + submental  ← AIRWAY RISK")

    cy -= panel_h2 + GAP

    # Nerve injuries panel
    panel_h3 = TOP - pc_img_h - 7*mm - 68*mm - 50*mm - 3*GAP - BOT
    col_rect(3, BOT, panel_h3, bg=LTPUR)
    header_band(c, cx, BOT + panel_h3 - 11*mm, CW, 11*mm, PURPLE, '💉  NERVE INJURIES (3rd Molar)', fsize=8)

    nerve_rows = [
        ['Nerve', 'Consequence'],
        ['Lingual (MOST COMMON)', 'Tongue numbness/dysgeusia'],
        ['Inferior Alveolar (IAN)', 'Lip + chin numbness'],
        ['Long buccal', 'Minor cheek numbness'],
        ['Facial (VII)', 'Rare — parotid surgery risk'],
    ]
    mini_table(c, cx+2, BOT+2, [30*mm, CW-34*mm], nerve_rows,
               row_h=11, header_bg=PURPLE, alt1=white, alt2=LTPUR, font_size=6.8)

    # ══════════════════════════════════════════════════════════════════════
    # COL 4 — LA BLOCKS + RED HIGH-YIELD FACTS + PYQ ANSWERS
    # ══════════════════════════════════════════════════════════════════════
    cx = col_x(4)
    cy = TOP

    # LA panel
    panel_h = 70 * mm
    col_rect(4, cy - panel_h, panel_h, bg=LTTEAL)
    header_band(c, cx, cy - 11*mm, CW, 11*mm, TEAL, '💉  LOCAL ANAESTHESIA', fsize=8.5)

    la_rows = [
        ['Block', 'Anaesthetises'],
        ['IANB', 'All ipsilateral lower teeth'],
        ['Long buccal NB', 'Buccal gingiva lower molars'],
        ['Mental NB', 'Lower ant. soft tissue'],
        ['Gow-Gates', 'ALL V3 branches (best success)'],
        ['Vazirani-Akinosi', 'IAN+Lingual (closed mouth)'],
        ['PSA', 'Upper molars (not MB of 1st)'],
        ['Infraorbital', 'ASA + MSA combined'],
        ['Greater palatine', 'Palatal premolar + molar'],
        ['Nasopalatine', 'Palatal upper anteriors'],
    ]
    mini_table(c, cx+2, cy - panel_h + 2, [30*mm, CW-34*mm], la_rows,
               row_h=9.5, header_bg=TEAL, alt1=white, alt2=LTTEAL, font_size=6.5)

    cy -= panel_h + GAP

    # Master High-Yield panel
    panel_h2 = 92 * mm
    col_rect(4, cy - panel_h2, panel_h2, bg=LTRED)
    header_band(c, cx, cy - 11*mm, CW, 11*mm, RED, '🔴  MUST-KNOW HIGH-YIELD FACTS', fsize=8)

    hy_facts = [
        ('Most common impacted tooth:', 'Mandibular 3rd molar', RED),
        ('Most common impacted canine:', 'Maxillary canine (palatal)', RED),
        ('Least commonly impacted:', 'Mandibular canine', DKGRAY),
        ("Easiest (Winter's):", 'Mesioangular', GREEN),
        ("Hardest (Winter's):", 'Distoangular', RED),
        ('Hardest (P&G):', 'Class III  Position C', RED),
        ('Most common complication:', 'Dry socket', ORANGE),
        ('Dry socket Rx:', 'Alvogyl dressing', GREEN),
        ('Dry socket risk #1:', 'Smoking', ORANGE),
        ('Most injured nerve:', 'Lingual nerve', PURPLE),
        ('OAF repair (1st choice):', 'Rehrmann (buccal) flap', BLUE),
        ('Best LA block (mand):', 'Gow-Gates (~95% success)', TEAL),
        ('Trismus LA technique:', 'Vazirani-Akinosi', TEAL),
        ('First space in pericoronitis:', 'Pterygomandibular space', ORANGE),
        ("Cyst of impacted tooth:", 'Dentigerous (follicular) cyst', BLUE),
        ('Standard 3rd molar incision:', "Modified Ward's", DKGRAY),
        ('OAC → OAF time:', '48–72 hrs (epithelialization)', DKGRAY),
        ('NEVER do in acute pericoronitis:', 'Extract the tooth!', RED),
    ]

    hy_y = cy - panel_h2 + 3
    line_h = (panel_h2 - 14*mm) / len(hy_facts)
    for label, val, col in reversed(hy_facts):
        c.setFont('Helvetica-Bold', 6.5)
        c.setFillColor(DKGRAY)
        c.drawString(cx+4, hy_y + 1.5, label)
        c.setFont('Helvetica-Bold', 6.5)
        c.setFillColor(col)
        c.drawString(cx + 4 + c.stringWidth(label, 'Helvetica-Bold', 6.5) + 2, hy_y + 1.5, val)
        hy_y += line_h

    cy -= panel_h2 + GAP

    # Complications quick panel
    panel_h3 = TOP - 70*mm - 92*mm - 2*GAP - BOT
    col_rect(4, BOT, panel_h3, bg=LTYELL)
    header_band(c, cx, BOT + panel_h3 - 11*mm, CW, 11*mm, ORANGE, '⚠  QUICK COMPLICATIONS', fsize=8.5)

    comp_rows = [
        ['Complication', 'Key Point'],
        ['Dry socket', 'Day 2-4; Alvogyl Rx'],
        ['OAC', 'Upper molar; <5mm → suture'],
        ['IAN damage', 'Root in canal; lip numb'],
        ['Trismus', 'Medial pterygoid spasm'],
        ['Ludwig angina', 'Airway first! IV abx + I&D'],
    ]
    mini_table(c, cx+2, BOT+2, [28*mm, CW-32*mm], comp_rows,
               row_h=11, header_bg=ORANGE, alt1=white, alt2=LTYELL, font_size=6.8)

    # ── FOOTER ───────────────────────────────────────────────────────────────
    c.setFillColor(NAVY)
    c.rect(0, 0, W, 6*mm, fill=1, stroke=0)
    c.setFillColor(white)
    c.setFont('Helvetica-Bold', 7)
    c.drawCentredString(W/2, 2*mm,
        'NEET MDS Quick Reference  •  Exodontia & Impactions  •  Oral & Maxillofacial Surgery  •  Orris AI')

    c.save()
    print(f"Cheat sheet saved: {OUT}")

build()