mkdir -p /home/daytona/workspace/forensic-pdf && ls /home/daytona/workspace/fore…

~/forensic-pdf/generate_pdf.py

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

OUTPUT = "/home/daytona/workspace/forensic-pdf/Forensic_Medicine_Quick_Reference.pdf"

# ── Color palette ──────────────────────────────────────────────────────────────
C_DARK_BLUE   = HexColor("#1a237e")
C_BLUE        = HexColor("#283593")
C_MED_BLUE    = HexColor("#3949ab")
C_LIGHT_BLUE  = HexColor("#e8eaf6")
C_TEAL        = HexColor("#00695c")
C_TEAL_LIGHT  = HexColor("#e0f2f1")
C_RED         = HexColor("#b71c1c")
C_RED_LIGHT   = HexColor("#ffebee")
C_ORANGE      = HexColor("#e65100")
C_ORANGE_LIGHT= HexColor("#fff3e0")
C_GREEN       = HexColor("#2e7d32")
C_GREEN_LIGHT = HexColor("#e8f5e9")
C_PURPLE      = HexColor("#4a148c")
C_PURPLE_LIGHT= HexColor("#f3e5f5")
C_AMBER       = HexColor("#ff6f00")
C_AMBER_LIGHT = HexColor("#fff8e1")
C_GRAY        = HexColor("#424242")
C_LIGHT_GRAY  = HexColor("#f5f5f5")
C_WHITE       = colors.white
C_BLACK       = colors.black

W, H = A4

# ── Page numbering canvas ──────────────────────────────────────────────────────
class NumberedCanvas(canvas.Canvas):
    def __init__(self, *args, **kwargs):
        canvas.Canvas.__init__(self, *args, **kwargs)
        self._saved_page_states = []

    def showPage(self):
        self._saved_page_states.append(dict(self.__dict__))
        self._startPage()

    def save(self):
        num_pages = len(self._saved_page_states)
        for state in self._saved_page_states:
            self.__dict__.update(state)
            self.draw_page_number(num_pages)
            canvas.Canvas.showPage(self)
        canvas.Canvas.save(self)

    def draw_page_number(self, page_count):
        self.setFont("Helvetica", 8)
        self.setFillColor(C_GRAY)
        self.drawRightString(W - 1.5*cm, 1*cm,
            f"Page {self._pageNumber} of {page_count}")
        self.drawString(1.5*cm, 1*cm,
            "Forensic Medicine & Toxicology  |  Quick Reference Summary")
        self.setStrokeColor(C_LIGHT_GRAY)
        self.line(1.5*cm, 1.3*cm, W - 1.5*cm, 1.3*cm)

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

def make_style(name, parent='Normal', **kwargs):
    s = ParagraphStyle(name, parent=styles[parent], **kwargs)
    return s

TITLE_STYLE = make_style('DocTitle',
    fontSize=26, textColor=C_WHITE, alignment=TA_CENTER,
    spaceAfter=6, fontName='Helvetica-Bold', leading=32)

SUBTITLE_STYLE = make_style('DocSubtitle',
    fontSize=13, textColor=HexColor("#bbdefb"), alignment=TA_CENTER,
    spaceAfter=4, fontName='Helvetica', leading=18)

CH_TITLE = make_style('ChapterTitle',
    fontSize=15, textColor=C_WHITE, fontName='Helvetica-Bold',
    alignment=TA_LEFT, leading=20, spaceAfter=2, spaceBefore=2)

SEC_TITLE = make_style('SectionTitle',
    fontSize=11, textColor=C_DARK_BLUE, fontName='Helvetica-Bold',
    spaceBefore=8, spaceAfter=4, leading=14)

BODY = make_style('Body',
    fontSize=8.5, textColor=C_GRAY, fontName='Helvetica',
    leading=12, spaceBefore=1, spaceAfter=1)

BODY_BOLD = make_style('BodyBold',
    fontSize=8.5, textColor=C_BLACK, fontName='Helvetica-Bold',
    leading=12)

SMALL = make_style('Small',
    fontSize=7.5, textColor=C_GRAY, fontName='Helvetica', leading=10)

NOTE = make_style('Note',
    fontSize=8, textColor=C_ORANGE, fontName='Helvetica-Bold',
    leading=11, leftIndent=8)

TH = make_style('TH',
    fontSize=8.5, textColor=C_WHITE, fontName='Helvetica-Bold',
    alignment=TA_CENTER, leading=11)

TD = make_style('TD',
    fontSize=8, textColor=C_GRAY, fontName='Helvetica',
    alignment=TA_LEFT, leading=10)

TD_C = make_style('TDC',
    fontSize=8, textColor=C_GRAY, fontName='Helvetica',
    alignment=TA_CENTER, leading=10)

TD_B = make_style('TDB',
    fontSize=8, textColor=C_BLACK, fontName='Helvetica-Bold',
    alignment=TA_LEFT, leading=10)

FLOW_TITLE = make_style('FlowTitle',
    fontSize=9, textColor=C_WHITE, fontName='Helvetica-Bold',
    alignment=TA_CENTER, leading=12)

FLOW_BODY = make_style('FlowBody',
    fontSize=8, textColor=C_BLACK, fontName='Helvetica',
    alignment=TA_CENTER, leading=11)

# ── Helper builders ────────────────────────────────────────────────────────────
def chapter_header(title, color=C_DARK_BLUE):
    data = [[Paragraph(title, CH_TITLE)]]
    t = Table(data, colWidths=[17*cm])
    t.setStyle(TableStyle([
        ('BACKGROUND', (0,0), (-1,-1), color),
        ('ROWBACKGROUNDS', (0,0), (-1,-1), [color]),
        ('TOPPADDING', (0,0), (-1,-1), 6),
        ('BOTTOMPADDING', (0,0), (-1,-1), 6),
        ('LEFTPADDING', (0,0), (-1,-1), 10),
        ('RIGHTPADDING', (0,0), (-1,-1), 6),
        ('ROUNDEDCORNERS', [4,4,4,4]),
    ]))
    return t

def section_box(title, color_light, color_border):
    data = [[Paragraph(title, make_style('ST2',
        fontSize=10, textColor=color_border, fontName='Helvetica-Bold',
        leading=13))]]
    t = Table(data, colWidths=[17*cm])
    t.setStyle(TableStyle([
        ('BACKGROUND', (0,0), (-1,-1), color_light),
        ('LINEBELOW', (0,0), (-1,-1), 2, color_border),
        ('TOPPADDING', (0,0), (-1,-1), 4),
        ('BOTTOMPADDING', (0,0), (-1,-1), 4),
        ('LEFTPADDING', (0,0), (-1,-1), 8),
    ]))
    return t

def make_table(headers, rows, col_widths, header_color=C_MED_BLUE,
               alt_color=C_LIGHT_GRAY, border_color=C_BLUE):
    header_row = [Paragraph(h, TH) for h in headers]
    data = [header_row]
    for i, row in enumerate(rows):
        bg = C_WHITE if i % 2 == 0 else alt_color
        data.append([Paragraph(str(c), TD) for c in row])
    t = Table(data, colWidths=col_widths, repeatRows=1)
    style = [
        ('BACKGROUND', (0,0), (-1,0), header_color),
        ('GRID', (0,0), (-1,-1), 0.4, border_color),
        ('ROWBACKGROUNDS', (0,1), (-1,-1), [C_WHITE, alt_color]),
        ('VALIGN', (0,0), (-1,-1), 'MIDDLE'),
        ('TOPPADDING', (0,0), (-1,-1), 3),
        ('BOTTOMPADDING', (0,0), (-1,-1), 3),
        ('LEFTPADDING', (0,0), (-1,-1), 4),
        ('RIGHTPADDING', (0,0), (-1,-1), 4),
    ]
    t.setStyle(TableStyle(style))
    return t

def two_col_table(headers, rows, col_widths, hdr_color=C_TEAL):
    return make_table(headers, rows, col_widths, header_color=hdr_color,
                      alt_color=C_TEAL_LIGHT, border_color=C_TEAL)

def comparison_table(headers, rows, col_widths):
    return make_table(headers, rows, col_widths, header_color=C_RED,
                      alt_color=C_RED_LIGHT, border_color=C_RED)

def flowchart_box(text, width, bg=C_MED_BLUE, text_color=C_WHITE, fontsize=8.5):
    data = [[Paragraph(text, make_style('fc'+str(id(text)),
        fontSize=fontsize, textColor=text_color, fontName='Helvetica-Bold',
        alignment=TA_CENTER, leading=12))]]
    t = Table(data, colWidths=[width])
    t.setStyle(TableStyle([
        ('BACKGROUND', (0,0), (-1,-1), bg),
        ('BOX', (0,0), (-1,-1), 1, C_BLUE),
        ('TOPPADDING', (0,0), (-1,-1), 5),
        ('BOTTOMPADDING', (0,0), (-1,-1), 5),
        ('ALIGN', (0,0), (-1,-1), 'CENTER'),
    ]))
    return t

def arrow():
    return Paragraph('<para align="center"><b>▼</b></para>',
        make_style('arr', fontSize=11, textColor=C_BLUE, leading=14,
                   alignment=TA_CENTER))

def diamond_box(text, width, bg=C_AMBER_LIGHT):
    data = [[Paragraph(f"◆  {text}", make_style('db'+str(id(text)),
        fontSize=8, textColor=C_AMBER, fontName='Helvetica-Bold',
        alignment=TA_CENTER, leading=11))]]
    t = Table(data, colWidths=[width])
    t.setStyle(TableStyle([
        ('BACKGROUND', (0,0), (-1,-1), bg),
        ('BOX', (0,0), (-1,-1), 1.5, C_AMBER),
        ('TOPPADDING', (0,0), (-1,-1), 5),
        ('BOTTOMPADDING', (0,0), (-1,-1), 5),
    ]))
    return t

def small_note(text):
    return Paragraph(f"<b>Note:</b> {text}", NOTE)

def bullet_list(items, indent=10):
    elems = []
    for item in items:
        elems.append(Paragraph(f"• {item}", make_style('bullet'+str(id(item)),
            fontSize=8.5, textColor=C_GRAY, fontName='Helvetica',
            leftIndent=indent, leading=12, spaceBefore=1)))
    return elems

def sp(h=4):
    return Spacer(1, h)

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

# ══════════════════════════════════════════════════════════════════════════════
# DOCUMENT CONTENT
# ══════════════════════════════════════════════════════════════════════════════
story = []

# ── COVER PAGE ─────────────────────────────────────────────────────────────────
cover_data = [[
    Paragraph("FORENSIC MEDICINE &amp; TOXICOLOGY", TITLE_STYLE),
    Paragraph("Quick Reference Summary", SUBTITLE_STYLE),
    Paragraph("Tables • Flowcharts • Comparison Charts", make_style('sub2',
        fontSize=11, textColor=HexColor("#90caf9"), alignment=TA_CENTER,
        leading=16, spaceAfter=2)),
    Paragraph("Based on: Narayan Reddy (36th ed.) • Gautam Biswas • Parikh's",
        make_style('ref', fontSize=9, textColor=HexColor("#78909c"),
        alignment=TA_CENTER, leading=13)),
]]
cover = Table([[r] for r in cover_data[0]], colWidths=[17*cm])
cover.setStyle(TableStyle([
    ('BACKGROUND', (0,0), (-1,-1), C_DARK_BLUE),
    ('TOPPADDING', (0,0), (-1,-1), 14),
    ('BOTTOMPADDING', (0,0), (-1,-1), 14),
    ('LEFTPADDING', (0,0), (-1,-1), 20),
    ('RIGHTPADDING', (0,0), (-1,-1), 20),
]))
story.append(Spacer(1, 3*cm))
story.append(cover)
story.append(Spacer(1, 1*cm))

# Chapter index
idx_data = [
    [Paragraph("CHAPTER INDEX", make_style('idx', fontSize=11,
        textColor=C_DARK_BLUE, fontName='Helvetica-Bold', alignment=TA_CENTER,
        leading=14))],
]
chapters = [
    ("1", "Mechanical Injuries", "Wounds, Burns, Skull Fractures, Firearms"),
    ("2", "Asphyxial Deaths", "Hanging, Drowning, Asphyxia Signs"),
    ("3", "Post-mortem Changes", "Rigor, Livor, Putrefaction, PMI"),
    ("4", "Sexual Offences & Reproductive Health", "MTP Act, Pregnancy, Abortion"),
    ("5", "Forensic Psychiatry", "Hallucinations, Delusions, Narcoanalysis"),
    ("6", "Medical Jurisprudence", "IPC Sections, Legal Doctrines"),
    ("7", "Forensic Anthropology", "Fingerprints, Pelvis, Skull, Hair"),
    ("8", "Toxicology", "Poisons, Antidotes, Management"),
    ("9", "Forensic Pathology & Autopsy", "Autopsy Types, Exhumation, Preservation"),
    ("10", "Ballistics", "Shotgun Cartridge, Firearm Wounds"),
    ("11", "Clinical Flowcharts", "OPC, Snakebite, Drowning, Datura"),
]
idx_rows = [[Paragraph(f"<b>Ch {c}</b>", TD_B),
             Paragraph(t, TD_B),
             Paragraph(s, TD)] for c,t,s in chapters]
idx_table = Table(
    [[Paragraph("Ch", TH), Paragraph("Title", TH), Paragraph("Key Topics", TH)]] + idx_rows,
    colWidths=[1.5*cm, 6*cm, 9.5*cm]
)
idx_table.setStyle(TableStyle([
    ('BACKGROUND', (0,0), (-1,0), C_DARK_BLUE),
    ('ROWBACKGROUNDS', (0,1), (-1,-1), [C_WHITE, C_LIGHT_BLUE]),
    ('GRID', (0,0), (-1,-1), 0.4, C_MED_BLUE),
    ('TOPPADDING', (0,0), (-1,-1), 4),
    ('BOTTOMPADDING', (0,0), (-1,-1), 4),
    ('LEFTPADDING', (0,0), (-1,-1), 6),
    ('VALIGN', (0,0), (-1,-1), 'MIDDLE'),
]))
story.append(idx_table)
story.append(PageBreak())

# ══════════════════════════════════════════════════════════════════════════════
# CHAPTER 1 — MECHANICAL INJURIES
# ══════════════════════════════════════════════════════════════════════════════
story.append(chapter_header("CHAPTER 1  |  MECHANICAL INJURIES", C_RED))
story.append(sp(6))

story.append(section_box("Wound Classification", C_RED_LIGHT, C_RED))
story.append(sp(4))
wound_class = make_table(
    ["Wound Type", "Cause", "Margins", "Tissue Bridges", "Key Feature"],
    [
        ["Abrasion", "Tangential blunt force", "Irregular", "Absent", "Skin tags show direction"],
        ["Contusion", "Blunt force (vessels rupture)", "Skin intact", "N/A", "Color changes with age"],
        ["Laceration", "Tearing blunt force", "Irregular, bruised", "Present", "Slower healing"],
        ["Incised", "Sharp edge", "Clean, everted", "Absent", "Length > depth"],
        ["Stab", "Pointed/sharp", "Clean", "Absent", "Depth > length"],
        ["Chop wound", "Heavy sharp weapon", "Clean but deep", "Absent", "Bone may be cleaved"],
        ["Firearm entry", "Bullet", "Inverted + abrasion collar", "Absent", "Grease ring, tattooing"],
    ],
    [3*cm, 3.5*cm, 3*cm, 2.5*cm, 5*cm],
    header_color=C_RED, alt_color=C_RED_LIGHT, border_color=C_RED
)
story.append(wound_class)
story.append(sp(8))

story.append(section_box("Ageing of Bruise (Contusion)", C_ORANGE_LIGHT, C_ORANGE))
story.append(sp(4))
bruise_age = make_table(
    ["Time", "Color", "Process"],
    [
        ["0-2 days", "Red → Blue-Purple", "Oxyhemoglobin → Deoxyhemoglobin"],
        ["2-4 days", "Blue-Black", "Further deoxygenation"],
        ["4-6 days", "Green", "Hemoglobin → Biliverdin"],
        ["6-10 days", "Yellow", "Biliverdin → Bilirubin"],
        ["10-14 days", "Brown → Fades", "Bilirubin absorbed"],
    ],
    [3*cm, 4*cm, 10*cm],
    header_color=C_ORANGE, alt_color=C_ORANGE_LIGHT, border_color=C_ORANGE
)
story.append(bruise_age)
story.append(sp(8))

story.append(section_box("Ageing of Abrasion", C_GREEN_LIGHT, C_GREEN))
story.append(sp(4))
ab_age = make_table(
    ["Time", "Appearance"],
    [
        ["Fresh", "Red, moist, slightly depressed"],
        ["12-24 hrs", "Drying begins, crust forming"],
        ["2-3 days", "Brown/yellowish scab"],
        ["4-5 days", "Scab lifts at edges"],
        ["7-14 days", "Healed with hyperpigmentation"],
    ],
    [4*cm, 13*cm],
    header_color=C_GREEN, alt_color=C_GREEN_LIGHT, border_color=C_GREEN
)
story.append(ab_age)
story.append(sp(8))

story.append(section_box("Firearm: Entry vs Exit Wound", C_PURPLE_LIGHT, C_PURPLE))
story.append(sp(4))
fw = comparison_table(
    ["Feature", "Entry Wound", "Exit Wound"],
    [
        ["Size", "Smaller", "Larger (usually)"],
        ["Margins", "Inverted + abrasion collar", "Everted, no collar"],
        ["Shape", "Circular/punched out", "Irregular, slit-like"],
        ["Soiling", "Grease ring + powder tattoo", "None"],
        ["Bone bevel", "Inward", "Outward"],
        ["Burning/Singeing", "Present (close range)", "Absent"],
    ],
    [4*cm, 6.5*cm, 6.5*cm]
)
story.append(fw)
story.append(sp(8))

story.append(section_box("Burns: Dry vs Moist vs Chemical", C_ORANGE_LIGHT, C_ORANGE))
story.append(sp(4))
burns = comparison_table(
    ["Feature", "Dry Heat (Flame)", "Moist Heat (Scald)", "Chemical"],
    [
        ["Blister", "Present, small", "Large, thin-walled", "Absent (coagulation)"],
        ["Depth", "Variable", "Superficial-partial", "Deep"],
        ["Margin", "Irregular", "Irregular", "Well-defined"],
        ["Soot/Singeing", "Present", "Absent", "Absent"],
        ["Odour", "Burnt hair", "None", "Chemical"],
        ["Eschar", "Leathery", "Soft", "Hard, firm"],
    ],
    [3*cm, 4.5*cm, 4.5*cm, 5*cm]
)
story.append(burns)
story.append(sp(8))

story.append(section_box("Antemortem vs Postmortem Burns", C_RED_LIGHT, C_RED))
story.append(sp(4))
ampm_burns = comparison_table(
    ["Feature", "Antemortem", "Postmortem"],
    [
        ["Vital reaction", "Present (hyperemia, inflammation)", "Absent"],
        ["Blister fluid", "Serous with proteins + WBCs", "Watery, no cells"],
        ["CO-Hb in blood", "Elevated (>10%)", "Low/absent"],
        ["Soot in airways", "Present (inhaled)", "Surface only"],
        ["Erythema at margins", "Present", "Absent"],
    ],
    [4.5*cm, 6.25*cm, 6.25*cm]
)
story.append(ampm_burns)
story.append(sp(8))

story.append(section_box("Rule of Nines (Wallace Rule)", C_LIGHT_BLUE, C_MED_BLUE))
story.append(sp(4))
nines = two_col_table(
    ["Body Part", "Adult %", "Notes"],
    [
        ["Head & Neck", "9%", "18% in infants (Lund-Browder)"],
        ["Each Upper Limb", "9% (x2 = 18%)", ""],
        ["Anterior Trunk", "18%", ""],
        ["Posterior Trunk", "18%", ""],
        ["Each Lower Limb", "18% (x2 = 36%)", "Each thigh 13% in child (Lund-Browder)"],
        ["Perineum", "1%", ""],
        ["TOTAL", "100%", ""],
    ],
    [5*cm, 4*cm, 8*cm], hdr_color=C_MED_BLUE
)
story.append(nines)
story.append(sp(8))

story.append(section_box("Types of Skull Fractures", C_LIGHT_BLUE, C_DARK_BLUE))
story.append(sp(4))
skull = two_col_table(
    ["Type", "Mechanism", "Key Sign"],
    [
        ["Linear (fissured)", "Most common; blunt force", "Simple crack, no displacement"],
        ["Depressed", "Concentrated force", "Bone pushed inward; brain injury risk"],
        ["Comminuted", "Severe force", "Multiple fragments"],
        ["Pond/Ping-pong", "Infants only", "Indentation without fragmentation"],
        ["Ring fracture", "Vertical force on spine", "Around foramen magnum"],
        ["Contre-coup", "Distant from impact", "Fracture at contralateral site"],
    ],
    [4*cm, 5*cm, 8*cm]
)
story.append(skull)
story.append(sp(6))
story += bullet_list([
    "<b>Battle's sign</b> - bruising over mastoid = petrous temporal fracture",
    "<b>Raccoon eyes</b> - periorbital ecchymosis = anterior fossa fracture",
    "<b>CSF rhinorrhoea/otorrhoea</b> - base of skull fracture"
])
story.append(PageBreak())

# ══════════════════════════════════════════════════════════════════════════════
# CHAPTER 2 — ASPHYXIAL DEATHS
# ══════════════════════════════════════════════════════════════════════════════
story.append(chapter_header("CHAPTER 2  |  ASPHYXIAL DEATHS", C_TEAL))
story.append(sp(6))

story.append(section_box("Hanging vs Strangulation", C_TEAL_LIGHT, C_TEAL))
story.append(sp(4))
hang_vs = comparison_table(
    ["Feature", "Hanging", "Strangulation"],
    [
        ["Ligature position", "Above thyroid cartilage; oblique", "Below thyroid cartilage; horizontal"],
        ["Ligature mark", "Oblique, incomplete (open at knot)", "Horizontal, complete/continuous"],
        ["Manner", "Mostly suicidal", "Mostly homicidal"],
        ["Face", "Pale (typical) / congested (atypical)", "Congested + cyanosed"],
        ["Petechiae", "Less prominent", "Prominent (conjunctiva, face)"],
        ["Hyoid fracture", "Rare (< 20%)", "Common (> 50%)"],
        ["Fracture-dislocation", "C2-C3 (judicial); none (typical)", "Absent"],
    ],
    [4*cm, 6.5*cm, 6.5*cm]
)
story.append(hang_vs)
story.append(sp(8))

story.append(section_box("Antemortem vs Postmortem Drowning", C_LIGHT_BLUE, C_MED_BLUE))
story.append(sp(4))
drown = comparison_table(
    ["Feature", "Antemortem", "Postmortem"],
    [
        ["Froth at mouth/nostrils", "Persistent, lathery, white", "Absent or watery"],
        ["Lungs", "Emphysema aquosum (waterlogged)", "Normal or putrefied"],
        ["Diatoms (bone marrow)", "Present", "Only superficial contamination"],
        ["Gettler test", "Positive", "Negative"],
        ["Cadaveric spasm", "May be present (vegetation in hand)", "Absent"],
        ["Vital reaction in lungs", "Present", "Absent"],
        ["Cutis anserina", "Present", "May be absent"],
    ],
    [4.5*cm, 6.25*cm, 6.25*cm]
)
story.append(drown)
story.append(sp(8))

story.append(section_box("Types of Drowning", C_TEAL_LIGHT, C_TEAL))
story.append(sp(4))
drown_types = two_col_table(
    ["Type", "Mechanism", "Key Feature"],
    [
        ["Wet (Typical)", "Water aspiration into lungs", "Most common (~85%)"],
        ["Dry", "Laryngospasm; no water enters", "~10-15%; dry lungs at autopsy"],
        ["Secondary", "Delayed pulmonary edema after rescue", "Death hours after rescue"],
        ["Immersion Syndrome", "Vagal inhibition by cold water", "Sudden death; no drowning evidence"],
        ["Saltwater", "Hypertonic; draws fluid into alveoli", "Hemoconcentration"],
        ["Freshwater", "Hypotonic; absorbed; hemolysis", "Hemodilution; hyponatremia"],
    ],
    [3*cm, 6*cm, 8*cm]
)
story.append(drown_types)
story.append(sp(8))

story.append(section_box("Post-mortem Signs of Asphyxia", C_PURPLE_LIGHT, C_PURPLE))
story.append(sp(4))
asx = two_col_table(
    ["Location", "Finding"],
    [
        ["Face/neck", "Congestion, cyanosis, petechiae (Tardieu spots)"],
        ["Eyes", "Conjunctival petechiae"],
        ["Right heart", "Dilated, engorged with dark blood"],
        ["Lungs", "Congested, edematous, subpleural Tardieu spots"],
        ["Brain", "Congested, edematous"],
        ["Blood", "Dark, liquid, unclotted"],
    ],
    [4*cm, 13*cm]
)
story.append(asx)
story.append(sp(6))
story.append(small_note("Tardieu spots = subpleural/subepicardial petechiae. NOT pathognomonic of asphyxia alone."))
story.append(PageBreak())

# ══════════════════════════════════════════════════════════════════════════════
# CHAPTER 3 — POST-MORTEM CHANGES
# ══════════════════════════════════════════════════════════════════════════════
story.append(chapter_header("CHAPTER 3  |  POST-MORTEM CHANGES", C_PURPLE))
story.append(sp(6))

story.append(section_box("Early Post-mortem Changes Timeline", C_PURPLE_LIGHT, C_PURPLE))
story.append(sp(4))
pm_timeline = two_col_table(
    ["Change", "Onset", "Peak / Fixed", "Key Details"],
    [
        ["Pallor", "Immediate", "Minutes", "Capillary emptying"],
        ["Algor mortis (cooling)", "Immediate", "~0.5-1.5°F/hr loss", "Henssge nomogram used"],
        ["Livor mortis", "30 min - 2 hrs", "Fixed at 8-12 hrs", "Dependent parts; blue-purple"],
        ["Rigor mortis", "1-2 hrs", "Complete 6-12 hrs", "Disappears 24-36 hrs; Nysten's rule"],
        ["Putrefaction begins", "24-48 hrs (summer)", "Variable", "Green staining RIF first"],
    ],
    [4*cm, 3.5*cm, 4*cm, 5.5*cm], hdr_color=C_PURPLE
)
story.append(pm_timeline)
story.append(sp(8))

story.append(section_box("Rigor Mortis vs Cadaveric Spasm", C_TEAL_LIGHT, C_TEAL))
story.append(sp(4))
rm_cs = comparison_table(
    ["Feature", "Rigor Mortis", "Cadaveric Spasm"],
    [
        ["Onset", "1-2 hrs after death", "Instantaneous at moment of death"],
        ["Primary relaxation", "Present (flaccid phase first)", "Absent (no flaccid phase)"],
        ["Muscles affected", "All muscles (generalized)", "Only muscles active at death"],
        ["Medicolegal importance", "Helps estimate time of death", "Confirms ante-mortem event; identifies weapon/item gripped"],
        ["Chemical basis", "ATP depletion → actin-myosin lock", "Sudden maximal ATP depletion"],
    ],
    [4.5*cm, 6.25*cm, 6.25*cm]
)
story.append(rm_cs)
story.append(sp(8))

story.append(section_box("Livor Mortis vs Bruise", C_RED_LIGHT, C_RED))
story.append(sp(4))
lm_br = comparison_table(
    ["Feature", "Livor Mortis", "Bruise"],
    [
        ["Skin surface", "Intact", "May show trauma"],
        ["Location", "Dependent areas (gravitational)", "Site of trauma (any)"],
        ["On incision", "Blood in vessels; wipes away", "Blood infiltrates tissues; cannot wipe"],
        ["Pattern", "Diffuse, staining large areas", "Localized"],
        ["Histology", "Vessels intact", "Ruptured vessels; extravasation"],
        ["Color changes", "No ageing changes", "Shows progressive color change"],
    ],
    [4.5*cm, 6.25*cm, 6.25*cm]
)
story.append(lm_br)
story.append(sp(8))

story.append(section_box("Late Post-mortem Changes", C_ORANGE_LIGHT, C_ORANGE))
story.append(sp(4))
late_pm = two_col_table(
    ["Change", "Conditions Required", "Timeline", "Medico-legal Importance"],
    [
        ["Putrefaction", "Warm, moist, aerobic", "24 hrs (summer) - weeks (winter)", "PMI estimation; identifies smell of certain poisons"],
        ["Adipocere", "Warm, moist, anaerobic", "3-4 weeks onset; months complete", "Preserves shape + injury evidence"],
        ["Mummification", "Hot, dry, well-ventilated", "~3 months", "Preserves form; leathery, parchment-like"],
        ["Skeletonization", "Variable", "Months-years", "Anthropological ID; Gustafson's method"],
    ],
    [3*cm, 4.5*cm, 3.5*cm, 6*cm]
)
story.append(late_pm)
story.append(sp(6))
story.append(small_note("Casper's Dictum: 1 week in air = 2 weeks in water = 8 weeks in earth (relative rate of decomposition)"))
story.append(sp(8))

story.append(section_box("PMI Estimation Methods", C_LIGHT_BLUE, C_DARK_BLUE))
story.append(sp(4))
pmi = two_col_table(
    ["Method", "Basis", "Reliability"],
    [
        ["Algor mortis", "Body temperature drop (~1°F/hr)", "Best in first 24 hrs; Henssge nomogram"],
        ["Rigor mortis", "Stage (onset/complete/resolved)", "Rough estimate; affected by temperature"],
        ["Livor mortis", "Stage (unfixed → fixed at 8-12 hrs)", "Early PMI estimation"],
        ["Putrefaction stage", "Decomposition progression", "Later PMI; variable"],
        ["Vitreous K+ level", "K+ rises predictably post-death", "Reliable; 14 mmol/L/day rise"],
        ["Stomach contents", "Digestion state", "Time of last meal"],
        ["Entomology (insects)", "Blow fly stages (egg → pupa → adult)", "Useful after 72 hrs"],
    ],
    [4*cm, 7*cm, 6*cm]
)
story.append(pmi)
story.append(PageBreak())

# ══════════════════════════════════════════════════════════════════════════════
# CHAPTER 4 — REPRODUCTIVE HEALTH & SEXUAL OFFENCES
# ══════════════════════════════════════════════════════════════════════════════
story.append(chapter_header("CHAPTER 4  |  REPRODUCTIVE HEALTH & SEXUAL OFFENCES", C_TEAL))
story.append(sp(6))

story.append(section_box("MTP Act 1971 (Amended 2021) - Quick Reference", C_TEAL_LIGHT, C_TEAL))
story.append(sp(4))
mtp = two_col_table(
    ["Gestation", "Who Can Approve", "Grounds"],
    [
        ["Up to 20 weeks", "1 Registered Medical Practitioner", "Any ground (risk to life, rape, contraceptive failure, fetal abnormality)"],
        ["20-24 weeks", "2 Registered Medical Practitioners", "Special categories: rape/incest survivors, minors, disabled women, unmarried women (2021 amendment)"],
        ["Beyond 24 weeks", "State-level Medical Board", "Substantial fetal abnormality only"],
    ],
    [3.5*cm, 5.5*cm, 8*cm]
)
story.append(mtp)
story.append(sp(6))
story += bullet_list([
    "Commercial surrogacy is <b>ILLEGAL</b> in India (Surrogacy Regulation Act 2021); only altruistic permitted",
    "IPC 312-316: causing miscarriage; punishment for criminal abortion",
    "Statutory rape: sexual intercourse with a person under 18 years = rape regardless of consent (IPC 375)"
])
story.append(sp(8))

story.append(section_box("Natural vs Criminal Abortion", C_RED_LIGHT, C_RED))
story.append(sp(4))
abort = comparison_table(
    ["Feature", "Natural (Spontaneous)", "Criminal (Induced Illegally)"],
    [
        ["Cause", "Chromosomal, anatomical, infection", "Instruments, drugs, violence"],
        ["Cervical injuries", "Absent", "Present (lacerations)"],
        ["Uterine injuries", "Absent", "Perforation possible"],
        ["Peritonitis", "Absent", "May be present"],
        ["Sepsis", "Uncommon", "Common (septic abortion)"],
        ["IPC", "Not punishable", "IPC 312-316"],
    ],
    [4.5*cm, 6.25*cm, 6.25*cm]
)
story.append(abort)
story.append(sp(8))

story.append(section_box("Signs of Liveborn Child (Hydrostatic Test)", C_GREEN_LIGHT, C_GREEN))
story.append(sp(4))
live = two_col_table(
    ["Test", "Positive Finding = Liveborn", "Limitation"],
    [
        ["Hydrostatic (Breslau) test", "Lungs float in water", "False +ve: putrefaction; artificial respiration"],
        ["Lung weight", "1/35 of body weight (stillborn = 1/70)", "Variable"],
        ["Docimasia hepatica", "Glycogen present in liver", "Less reliable"],
        ["Wreden's test (ear)", "Middle ear fluid absorbed", "Moderately reliable"],
        ["Stomach/Duodenum test", "Air/milk present", "Useful if > 1 hr after birth"],
    ],
    [4*cm, 6*cm, 7*cm]
)
story.append(live)
story.append(sp(8))

story.append(section_box("Positive (Definitive) Signs of Pregnancy", C_PURPLE_LIGHT, C_PURPLE))
story.append(sp(4))
preg = two_col_table(
    ["Sign", "Method", "When Detectable"],
    [
        ["Fetal heart sounds", "Auscultation / Doppler", "20 wks auscultation; 10-12 wks Doppler"],
        ["Fetal movements felt by examiner", "Palpation / Ballottement", "From 20-22 weeks"],
        ["Ultrasound: fetal heartbeat + parts", "USG", "From 6-7 weeks (TVS)"],
        ["X-ray fetal skeleton", "Plain X-ray", "After 16 weeks (not routine)"],
    ],
    [4*cm, 5*cm, 8*cm]
)
story.append(preg)
story.append(PageBreak())

# ══════════════════════════════════════════════════════════════════════════════
# CHAPTER 5 — FORENSIC PSYCHIATRY
# ══════════════════════════════════════════════════════════════════════════════
story.append(chapter_header("CHAPTER 5  |  FORENSIC PSYCHIATRY", C_PURPLE))
story.append(sp(6))

story.append(section_box("Types of Delusions", C_PURPLE_LIGHT, C_PURPLE))
story.append(sp(4))
delusions = two_col_table(
    ["Type", "Description", "Associated Condition"],
    [
        ["Persecutory", "Believes being harmed/plotted against (most common)", "Schizophrenia, paranoid disorder"],
        ["Grandiose", "Believes has special powers/identity", "Mania, schizophrenia"],
        ["Jealousy (Othello)", "Believes partner is unfaithful", "Alcohol abuse, schizophrenia"],
        ["Erotomanic (de Clerambault)", "Believes famous person is in love with them", "Erotomania, schizophrenia"],
        ["Nihilistic (Cotard)", "Believes they/world does not exist", "Severe depression"],
        ["Reference", "Believes events have special meaning for them", "Schizophrenia"],
        ["Capgras", "Familiar person replaced by imposter", "Organic brain disorders"],
    ],
    [4*cm, 6*cm, 7*cm]
)
story.append(delusions)
story.append(sp(8))

story.append(section_box("Drug Addiction vs Drug Habituation", C_ORANGE_LIGHT, C_ORANGE))
story.append(sp(4))
add_hab = comparison_table(
    ["Feature", "Addiction", "Habituation"],
    [
        ["Dependence", "Physical + Psychological", "Psychological only"],
        ["Tolerance", "Marked", "Mild or absent"],
        ["Withdrawal symptoms", "Severe physical symptoms", "Mild; mainly psychological craving"],
        ["Compulsion", "Compulsive use (cannot stop)", "Desire (can stop if motivated)"],
        ["Harm", "Individual + society", "Primarily individual"],
        ["Examples", "Morphine, heroin, alcohol", "Caffeine, mild sedatives, cannabis (debated)"],
    ],
    [4.5*cm, 6.25*cm, 6.25*cm]
)
story.append(add_hab)
story.append(sp(8))

story.append(section_box("M'Naghten Rules (Right-Wrong Test) — IPC Section 84", C_LIGHT_BLUE, C_DARK_BLUE))
story.append(sp(4))
mnag = two_col_table(
    ["Criterion", "Details"],
    [
        ["Rule 1", "Accused must be suffering from disease of mind / unsoundness at time of act"],
        ["Rule 2", "Did NOT know the nature and quality of the act, OR"],
        ["Rule 3", "Did NOT know that what he was doing was wrong (right vs wrong distinction)"],
        ["IPC Section 84", "Codification of M'Naghten in Indian law"],
        ["Limitation", "Does not account for irresistible impulse; ignores emotional component"],
    ],
    [4*cm, 13*cm]
)
story.append(mnag)
story.append(sp(6))
story.append(small_note("Narcoanalysis: Supreme Court (Selvi vs Karnataka, 2010) ruled it violates Article 20(3) — cannot be done without consent."))
story.append(PageBreak())

# ══════════════════════════════════════════════════════════════════════════════
# CHAPTER 6 — MEDICAL JURISPRUDENCE
# ══════════════════════════════════════════════════════════════════════════════
story.append(chapter_header("CHAPTER 6  |  MEDICAL JURISPRUDENCE & LEGAL CONCEPTS", C_DARK_BLUE))
story.append(sp(6))

story.append(section_box("IPC Sections — Quick Reference", C_LIGHT_BLUE, C_DARK_BLUE))
story.append(sp(4))
ipc = two_col_table(
    ["Section", "Subject", "Key Provision"],
    [
        ["Sec 84", "Act of person of unsound mind", "No offence if unaware of nature/wrongness due to mental disease"],
        ["Sec 299/300", "Culpable homicide / Murder", "Intention + knowledge distinctions"],
        ["Sec 312", "Causing miscarriage", "Criminal abortion; 3 years imprisonment"],
        ["Sec 320", "Grievous hurt", "8 categories (see below)"],
        ["Sec 375", "Rape", "Penetration without consent; age < 18 = statutory rape"],
        ["Sec 376", "Punishment for rape", "7 years to life imprisonment"],
        ["Sec 377", "Unnatural offences", "Sodomy, bestiality"],
        ["Sec 326A", "Acid attack (vitriolage)", "10 years to life; introduced 2013"],
    ],
    [2.5*cm, 5*cm, 9.5*cm]
)
story.append(ipc)
story.append(sp(8))

story.append(section_box("IPC Section 320 — Eight Kinds of Grievous Hurt", C_RED_LIGHT, C_RED))
story.append(sp(4))
grev = two_col_table(
    ["No.", "Type of Grievous Hurt"],
    [
        ["1", "Emasculation"],
        ["2", "Permanent privation of sight of either eye"],
        ["3", "Permanent privation of hearing of either ear"],
        ["4", "Privation of any member or joint"],
        ["5", "Destruction or permanent impairing of powers of any member or joint"],
        ["6", "Permanent disfiguration of head or face"],
        ["7", "Fracture or dislocation of a bone or tooth"],
        ["8", "Any hurt that endangers life, or causes 20+ days of severe pain / inability to follow ordinary pursuits"],
    ],
    [1.5*cm, 15.5*cm], hdr_color=C_RED
)
story.append(grev)
story.append(sp(8))

story.append(section_box("Legal Doctrines — Quick Reference", C_LIGHT_BLUE, C_DARK_BLUE))
story.append(sp(4))
legal = two_col_table(
    ["Doctrine / Concept", "Meaning", "Medical Example"],
    [
        ["Res Ipsa Loquitur", "The thing speaks for itself; negligence self-evident", "Swab/instrument left inside patient post-op"],
        ["Vicarious Liability", "Employer responsible for employee's acts in course of employment", "Hospital liable for nurse's negligence"],
        ["Borrowed Servant", "Borrowing employer responsible for borrowed staff", "Hospital borrows surgeon; its liability"],
        ["In Loco Parentis", "In place of a parent; assumes parental rights/duties", "Teacher/warden can consent to minor's treatment"],
        ["Respondeat Superior", "Let the master answer (basis of vicarious liability)", "Senior doctor liable for junior's error"],
    ],
    [4*cm, 5.5*cm, 7.5*cm]
)
story.append(legal)
story.append(sp(8))

story.append(section_box("Testamentary Capacity — Requirements", C_GREEN_LIGHT, C_GREEN))
story.append(sp(4))
tc = two_col_table(
    ["Requirement", "Details"],
    [
        ["Sound mind", "Understands the nature and effect of making a will"],
        ["Knows extent of property", "Understands what they are disposing of"],
        ["Knows natural heirs", "Aware of relatives who would normally inherit"],
        ["Free from undue influence", "Decision made voluntarily"],
        ["Minimum age", "18 years (21 if under guardianship)"],
    ],
    [5*cm, 12*cm]
)
story.append(tc)
story.append(PageBreak())

# ══════════════════════════════════════════════════════════════════════════════
# CHAPTER 7 — FORENSIC ANTHROPOLOGY & IDENTIFICATION
# ══════════════════════════════════════════════════════════════════════════════
story.append(chapter_header("CHAPTER 7  |  FORENSIC ANTHROPOLOGY & IDENTIFICATION", C_GREEN))
story.append(sp(6))

story.append(section_box("Fingerprint Classification (Henry's System)", C_GREEN_LIGHT, C_GREEN))
story.append(sp(4))
fp = two_col_table(
    ["Pattern", "Frequency", "Deltas", "Key Feature"],
    [
        ["Loop (Ulnar / Radial)", "~65%", "1", "Ridges enter and exit same side; most common"],
        ["Whorl", "~30%", "2", "Concentric circles/spirals"],
        ["Arch (Plain / Tented)", "~5%", "0", "Ridges pass from one side to other; no delta"],
        ["Composite", "Rare", "Variable", "Twin loop, central pocket whorl"],
    ],
    [4*cm, 3*cm, 2.5*cm, 7.5*cm]
)
story.append(fp)
story.append(sp(6))
story += bullet_list([
    "<b>Galton's three principles:</b> Uniqueness, Permanence, Classifiability",
    "<b>Dactylography</b> = scientific study of fingerprints | <b>Cheiloscopy</b> = study of lip prints",
    "<b>Superimposition</b> = skull + photograph overlay for identification of skeletal remains"
])
story.append(sp(8))

story.append(section_box("Male vs Female Pelvis", C_LIGHT_BLUE, C_MED_BLUE))
story.append(sp(4))
pelvis = comparison_table(
    ["Feature", "Male", "Female"],
    [
        ["Shape", "Android (heart-shaped inlet)", "Gynecoid (oval/round inlet)"],
        ["Subpubic angle", "< 90° (narrow)", "> 90° (wide)"],
        ["Greater sciatic notch", "Narrow (< 60°)", "Wide (> 60°)"],
        ["Sacrum", "Narrow, deeply curved", "Broad, less curved"],
        ["Acetabulum", "Large", "Small"],
        ["Obturator foramen", "Round", "Oval/triangular"],
        ["Overall", "Heavier, smaller cavity", "Lighter, wider cavity for childbirth"],
    ],
    [5*cm, 6*cm, 6*cm]
)
story.append(pelvis)
story.append(sp(8))

story.append(section_box("Male vs Female Skull", C_PURPLE_LIGHT, C_PURPLE))
story.append(sp(4))
skull_sex = comparison_table(
    ["Feature", "Male", "Female"],
    [
        ["Size / Weight", "Larger, heavier", "Smaller, lighter"],
        ["Supraorbital ridges", "Prominent, marked", "Slight"],
        ["Forehead", "Sloping", "Vertical"],
        ["Mastoid process", "Large", "Small"],
        ["Ext. occipital protuberance", "Marked", "Slight"],
        ["Orbit shape", "Square", "Rounded"],
        ["Chin", "Square, prominent", "Rounded, pointed"],
        ["Cranial capacity", "~1450 mL", "~1300 mL"],
    ],
    [4.5*cm, 6.25*cm, 6.25*cm]
)
story.append(skull_sex)
story.append(sp(8))

story.append(section_box("Human Hair vs Animal Hair", C_ORANGE_LIGHT, C_ORANGE))
story.append(sp(4))
hair = comparison_table(
    ["Feature", "Human Hair", "Animal Hair"],
    [
        ["Medullary index", "< 0.33 (narrow medulla)", "> 0.5 (wide medulla)"],
        ["Medulla pattern", "Fragmented / absent", "Continuous, latticed"],
        ["Cuticle scales", "Imbricate (narrow, overlapping)", "Large, coronal or petal-like"],
        ["Pigment distribution", "Peripherally in cortex", "Central or diffuse"],
        ["Cross-section", "Oval to round", "Highly variable by species"],
    ],
    [4*cm, 6.5*cm, 6.5*cm]
)
story.append(hair)
story.append(sp(6))
story.append(small_note("Gustafson's method for age from teeth: 6 criteria (attrition, periodontosis, secondary dentin, cementum apposition, root resorption, root transparency). Score 0-3 each. Error ±10 years."))
story.append(PageBreak())

# ══════════════════════════════════════════════════════════════════════════════
# CHAPTER 8 — TOXICOLOGY
# ══════════════════════════════════════════════════════════════════════════════
story.append(chapter_header("CHAPTER 8  |  TOXICOLOGY & POISONING", C_ORANGE))
story.append(sp(6))

story.append(section_box("Antidotes — Quick Reference Table", C_ORANGE_LIGHT, C_ORANGE))
story.append(sp(4))
antidotes = two_col_table(
    ["Poison", "Mechanism", "Specific Antidote"],
    [
        ["Organophosphorus (OPC)", "Inhibits cholinesterase (SLUDGE)", "Atropine + Pralidoxime (PAM)"],
        ["Cyanide (HCN)", "Inhibits cytochrome oxidase", "Amyl nitrite → NaNO2 → Na-thiosulfate; Hydroxocobalamin"],
        ["Carbon monoxide", "Binds Hb (CO-Hb)", "100% O2; HBO therapy"],
        ["Lead (Plumbism)", "Heavy metal toxicity", "CaNa2-EDTA; DMSA; BAL (encephalopathy)"],
        ["Arsenic", "Enzyme inhibition", "BAL (dimercaprol); DMSA"],
        ["Methanol", "Formic acid → acidosis + optic toxicity", "Fomepizole / Ethanol; bicarbonate; hemodialysis"],
        ["Opioids", "Mu-receptor agonist → CNS/resp. depression", "Naloxone"],
        ["Benzodiazepines", "GABA-A potentiation", "Flumazenil (caution in epilepsy)"],
        ["Datura (atropine)", "Anticholinergic", "Physostigmine; neostigmine"],
        ["Warfarin", "Inhibits Vit K-dependent factors", "Vitamin K; FFP"],
        ["Paracetamol", "NAPQI hepatotoxicity", "N-acetylcysteine (NAC)"],
        ["Iron", "Free radical toxicity", "Deferoxamine"],
    ],
    [4*cm, 5.5*cm, 7.5*cm]
)
story.append(antidotes)
story.append(sp(8))

story.append(section_box("Strychnine vs Tetanus", C_RED_LIGHT, C_RED))
story.append(sp(4))
strych = comparison_table(
    ["Feature", "Strychnine Poisoning", "Tetanus"],
    [
        ["Cause", "Nux vomica alkaloid", "Clostridium tetani toxin"],
        ["Mechanism", "Blocks glycine (inhibitory NT) in spinal cord", "Blocks glycine + GABA release"],
        ["Trismus (lockjaw)", "Absent initially", "Present early (KEY DIFFERENTIATOR)"],
        ["Spasms", "Intermittent, violent opisthotonus", "Prolonged; trismus first"],
        ["Fever", "Absent", "Present"],
        ["Wound history", "Absent", "Present + incubation period"],
        ["Recovery (if survives)", "Full recovery possible if survives 4-5 hrs", "Prolonged illness"],
        ["Treatment", "Diazepam, chlorpromazine, gastric lavage", "Antitoxin, penicillin, metronidazole, diazepam"],
    ],
    [4.5*cm, 6.25*cm, 6.25*cm]
)
story.append(strych)
story.append(sp(8))

story.append(section_box("Viscera Preservation for Chemical Analysis", C_TEAL_LIGHT, C_TEAL))
story.append(sp(4))
visc = two_col_table(
    ["Sample", "Quantity", "Preservative", "Special Notes"],
    [
        ["Stomach + contents", "Entire", "Saturated NaCl", "No formalin — destroys chemical evidence"],
        ["Small intestine (30 cm)", "30 cm section", "Saturated NaCl", ""],
        ["Liver", "500 g", "Saturated NaCl", ""],
        ["Kidney", "One whole", "Saturated NaCl", ""],
        ["Blood", "30 mL", "Fluoride-oxalate (alcohol); plain (others)", "Airtight for CO"],
        ["Urine", "All available", "None", ""],
        ["Vitreous humor", "Both eyes", "None", "Least contaminated; K+ for PMI"],
        ["Brain", "Half", "Saturated NaCl", ""],
        ["Spleen", "200 g", "Saturated NaCl", ""],
        ["Hair + nails", "All", "None (dry, sealed)", "Arsenic, thallium; Mees' lines"],
    ],
    [4*cm, 2.5*cm, 4*cm, 6.5*cm]
)
story.append(visc)
story.append(sp(8))

story.append(section_box("Neurotoxic vs Vasculotoxic Snake Venom", C_PURPLE_LIGHT, C_PURPLE))
story.append(sp(4))
snake = comparison_table(
    ["Feature", "Neurotoxic (Krait, Cobra)", "Vasculotoxic (Russell's Viper, Saw-Scaled)"],
    [
        ["Local effects", "Minimal pain/swelling", "Severe swelling, necrosis, hemorrhagic blisters"],
        ["Systemic effects", "Descending paralysis, resp. failure", "Coagulopathy (DIC), hemorrhage, renal failure"],
        ["Specific signs", "Ptosis, dysphagia, diplopia", "WBCT20 positive; hemoglobinuria"],
        ["Antidote response", "Neostigmine + atropine may help (cobra)", "ASV; FFP; dialysis"],
        ["Indian examples", "Common krait, cobra", "Russell's viper, saw-scaled viper"],
    ],
    [4.5*cm, 6.25*cm, 6.25*cm]
)
story.append(snake)
story.append(PageBreak())

# ══════════════════════════════════════════════════════════════════════════════
# CHAPTER 9 — FORENSIC PATHOLOGY & AUTOPSY
# ══════════════════════════════════════════════════════════════════════════════
story.append(chapter_header("CHAPTER 9  |  FORENSIC PATHOLOGY & AUTOPSY", C_GRAY))
story.append(sp(6))

story.append(section_box("Types of Autopsy", C_LIGHT_GRAY, C_GRAY))
story.append(sp(4))
autopsy = two_col_table(
    ["Type", "Definition", "Key Feature"],
    [
        ["Medicolegal autopsy", "PM examination when cause of death is unnatural/suspicious", "Mandatory police/magistrate order; full external + internal examination"],
        ["Clinical / Hospital autopsy", "Consent-based examination for academic/clinical purposes", "No police involvement; consent of relatives"],
        ["Virtual autopsy (Virtopsy)", "CT/MRI based PM without dissection", "Non-invasive; 3D reconstruction; no religious objection"],
        ["Negative autopsy", "No cause of death found despite thorough examination", "Toxicology + histology essential; may indicate functional death"],
    ],
    [3*cm, 6*cm, 8*cm]
)
story.append(autopsy)
story.append(sp(8))

story.append(section_box("Shotgun Entry Wound at Various Ranges", C_ORANGE_LIGHT, C_ORANGE))
story.append(sp(4))
shotgun = two_col_table(
    ["Range", "Wound Features"],
    [
        ["Contact (muzzle to skin)", "Single circular wound; stellate/cruciate laceration from gas; soot + burning of margins; 'cookie cutter' appearance"],
        ["Close range (< 15 cm)", "Single wound; soot deposit; gas ring; individual pellets not yet separated"],
        ["Short range (15-60 cm)", "Circular wound with powder tattooing (stippling)"],
        ["Medium range (60 cm - 3 m)", "Single wound with scalloped edges; peripheral pellets beginning to appear around central hole"],
        ["Long range (> 3 m)", "Multiple separate pellet wounds scattered; central hole + surrounding satellite holes"],
        ["Very long range (> 6 m)", "Only scattered individual pellet wounds; no central hole; wounds appear as multiple small entry wounds"],
    ],
    [4*cm, 13*cm]
)
story.append(shotgun)
story.append(sp(8))

story.append(section_box("Key Forensic Tests — Quick Reference", C_LIGHT_BLUE, C_DARK_BLUE))
story.append(sp(4))
tests = two_col_table(
    ["Test / Sign", "Indicates", "How Positive"],
    [
        ["Hydrostatic (Breslau) test", "Liveborn child / breathed air", "Lungs float in water"],
        ["Gettler test", "Antemortem drowning", "Chloride difference between L and R heart blood"],
        ["Diatom test", "Antemortem drowning", "Diatoms in bone marrow / brain / liver"],
        ["Reinsch test", "Arsenic / mercury / antimony", "Metal deposits on copper strip in acid"],
        ["WBCT20", "Viper bite coagulopathy", "Blood does not clot in 20 min"],
        ["Wreden's test", "Child breathed after birth", "Fluid absorbed from middle ear"],
        ["Docimasia hepatica", "Liveborn", "Glycogen in liver"],
        ["Burton's line", "Lead poisoning", "Blue-black line at gingival margin"],
    ],
    [4.5*cm, 5.5*cm, 7*cm]
)
story.append(tests)
story.append(PageBreak())

# ══════════════════════════════════════════════════════════════════════════════
# CHAPTER 10 — BALLISTICS
# ══════════════════════════════════════════════════════════════════════════════
story.append(chapter_header("CHAPTER 10  |  BALLISTICS & FIREARMS", C_RED))
story.append(sp(6))

story.append(section_box("Shotgun Cartridge — Components", C_RED_LIGHT, C_RED))
story.append(sp(4))

cart_data = [
    [Paragraph("<b>COMPONENT</b>", TH), Paragraph("<b>MATERIAL / FUNCTION</b>", TH)],
    [Paragraph("Top crimp / wad", TD), Paragraph("Plastic crimp or top cardboard wad; holds shot in cartridge", TD)],
    [Paragraph("Shot pellets", TD), Paragraph("Lead or steel spheres; actual projectiles; size varies by gauge", TD)],
    [Paragraph("Over-shot wad", TD), Paragraph("Cardboard disc separating shot from powder", TD)],
    [Paragraph("Propellant powder", TD), Paragraph("Nitrocellulose-based smokeless powder; generates propulsive gas", TD)],
    [Paragraph("Base wad", TD), Paragraph("Cardboard wad above primer; seals gases", TD)],
    [Paragraph("Brass base (head)", TD), Paragraph("Metal base holding entire cartridge; contains primer cup", TD)],
    [Paragraph("Primer (percussion cap)", TD), Paragraph("Lead styphnate; ignites on firing pin impact", TD)],
]
cart_table = Table(cart_data, colWidths=[5*cm, 12*cm])
cart_table.setStyle(TableStyle([
    ('BACKGROUND', (0,0), (-1,0), C_RED),
    ('ROWBACKGROUNDS', (0,1), (-1,-1), [C_WHITE, C_RED_LIGHT]),
    ('GRID', (0,0), (-1,-1), 0.4, C_RED),
    ('TOPPADDING', (0,0), (-1,-1), 4),
    ('BOTTOMPADDING', (0,0), (-1,-1), 4),
    ('LEFTPADDING', (0,0), (-1,-1), 6),
    ('VALIGN', (0,0), (-1,-1), 'MIDDLE'),
]))
story.append(cart_table)
story.append(sp(6))

# ASCII diagram of cartridge
diag_data = [[
    Paragraph("""<para align="center">
<b>LABELLED SHOTGUN CARTRIDGE DIAGRAM</b><br/>
<br/>
[ TOP CRIMP / WADS ]<br/>
[ SHOT PELLETS (lead) ]<br/>
[ OVER-SHOT WAD ]<br/>
[ PROPELLANT POWDER ]<br/>
[ BASE WAD ]<br/>
[ BRASS BASE + PRIMER ]<br/>
</para>""", make_style('diag',
        fontSize=9, textColor=C_DARK_BLUE, fontName='Helvetica-Bold',
        alignment=TA_CENTER, leading=14))
]]
diag_t = Table(diag_data, colWidths=[17*cm])
diag_t.setStyle(TableStyle([
    ('BACKGROUND', (0,0), (-1,-1), C_LIGHT_BLUE),
    ('BOX', (0,0), (-1,-1), 2, C_DARK_BLUE),
    ('TOPPADDING', (0,0), (-1,-1), 10),
    ('BOTTOMPADDING', (0,0), (-1,-1), 10),
]))
story.append(diag_t)
story.append(sp(8))

story.append(section_box("Tandem Bullet", C_ORANGE_LIGHT, C_ORANGE))
story.append(sp(4))
story += bullet_list([
    "Two bullets fired simultaneously from a rifled firearm, one behind the other",
    "Results in one entry wound but two projectiles on imaging/autopsy",
    "Medico-legal confusion: single entry + two bullets may suggest multiple shots or internal ricochet",
    "Mechanism: second bullet loaded while first still in barrel"
])
story.append(PageBreak())

# ══════════════════════════════════════════════════════════════════════════════
# CHAPTER 11 — CLINICAL FLOWCHARTS
# ══════════════════════════════════════════════════════════════════════════════
story.append(chapter_header("CHAPTER 11  |  CLINICAL MANAGEMENT FLOWCHARTS", C_TEAL))
story.append(sp(8))

# ── FLOWCHART 1: OPC Poisoning Management ─────────────────────────────────────
story.append(section_box("Flowchart 1: OPC / Organophosphorus Poisoning Management", C_TEAL_LIGHT, C_TEAL))
story.append(sp(6))

W_FC = 16*cm
story.append(flowchart_box("PATIENT PRESENTATION: Miosis + Salivation + Sweating + Bradycardia + Bronchospasm", W_FC, bg=C_TEAL))
story.append(arrow())
story.append(flowchart_box("DIAGNOSIS: Cholinergic Syndrome (OPC Poisoning)", W_FC, bg=C_MED_BLUE))
story.append(arrow())

opc_step2 = Table([
    [flowchart_box("MUSCARINIC\nSLUDGE signs", 5.2*cm, bg=C_GREEN, text_color=C_WHITE),
     flowchart_box("NICOTINIC\nFasciculation, Weakness, Paralysis", 5.2*cm, bg=C_ORANGE, text_color=C_WHITE),
     flowchart_box("CNS\nAnxiety, Seizures, Coma", 5.2*cm, bg=C_RED, text_color=C_WHITE)],
], colWidths=[5.5*cm, 5.5*cm, 5.5*cm])
opc_step2.setStyle(TableStyle([('VALIGN',(0,0),(-1,-1),'TOP'),('LEFTPADDING',(0,0),(-1,-1),2),('RIGHTPADDING',(0,0),(-1,-1),2)]))
story.append(opc_step2)
story.append(arrow())
story.append(flowchart_box("CONFIRM: Serum / RBC Cholinesterase Level (markedly reduced)", W_FC, bg=C_DARK_BLUE))
story.append(arrow())

opc_mgmt = [
    ["Step 1", "DECONTAMINATION: Remove clothing, wash skin with soap/water; ABC support"],
    ["Step 2", "AIRWAY: Suction secretions; intubate if GCS < 8 or respiratory failure"],
    ["Step 3", "ATROPINE: 2-4 mg IV bolus; repeat every 5-10 min; ENDPOINT = drying of secretions (NOT pupil size); may need 20-100+ mg"],
    ["Step 4", "PRALIDOXIME (PAM): 1-2 g IV over 15-30 min; MUST be given within 24-48 hrs (before aging); reactivates cholinesterase"],
    ["Step 5", "BENZODIAZEPINES: Diazepam 10 mg IV for seizures"],
    ["Step 6", "GASTRIC LAVAGE + Activated charcoal if recent oral ingestion"],
    ["Step 7", "ICU monitoring: vitals, SpO2, urine output, repeat cholinesterase levels"],
]
opc_t = Table(
    [[Paragraph("<b>Step</b>", TH), Paragraph("<b>Action</b>", TH)]] +
    [[Paragraph(r[0], TD_B), Paragraph(r[1], TD)] for r in opc_mgmt],
    colWidths=[2*cm, 14*cm]
)
opc_t.setStyle(TableStyle([
    ('BACKGROUND', (0,0), (-1,0), C_TEAL),
    ('ROWBACKGROUNDS', (0,1), (-1,-1), [C_WHITE, C_TEAL_LIGHT]),
    ('GRID', (0,0), (-1,-1), 0.4, C_TEAL),
    ('TOPPADDING', (0,0), (-1,-1), 4),
    ('BOTTOMPADDING', (0,0), (-1,-1), 4),
    ('LEFTPADDING', (0,0), (-1,-1), 6),
    ('VALIGN', (0,0), (-1,-1), 'MIDDLE'),
]))
story.append(opc_t)
story.append(sp(10))

# ── FLOWCHART 2: Snake Bite Management ────────────────────────────────────────
story.append(section_box("Flowchart 2: Snakebite Management", C_GREEN_LIGHT, C_GREEN))
story.append(sp(6))
story.append(flowchart_box("SNAKEBITE VICTIM", W_FC, bg=C_GREEN))
story.append(arrow())
story.append(flowchart_box("FIRST AID: Immobilize limb (splint); Pressure immobilization bandage (NOT tourniquet); Transfer to hospital", W_FC, bg=C_MED_BLUE))
story.append(arrow())
story.append(diamond_box("Is it POISONOUS? (fang marks, local swelling, systemic symptoms)", W_FC))
story.append(arrow())

sb_types = Table([
    [flowchart_box("NEUROTOXIC\n(Krait/Cobra)\nPtosis, Paralysis,\nResp. failure", 7.5*cm, bg=C_PURPLE),
     flowchart_box("VASCULOTOXIC\n(Viper)\nSwelling, Coagulopathy\nRenal failure", 7.5*cm, bg=C_RED)],
], colWidths=[8*cm, 8*cm])
sb_types.setStyle(TableStyle([('VALIGN',(0,0),(-1,-1),'TOP'),('LEFTPADDING',(0,0),(-1,-1),2),('RIGHTPADDING',(0,0),(-1,-1),2)]))
story.append(sb_types)
story.append(arrow())
story.append(flowchart_box("POLYVALENT ANTI-SNAKE VENOM (ASV) IV — dose by clinical response, not body weight", W_FC, bg=C_DARK_BLUE))
story.append(arrow())

sb_mgmt = [
    ["Neurotoxic", "Neostigmine 0.5-2.5 mg + Atropine 0.6 mg IV; ventilatory support; watch for resp. failure"],
    ["Vasculotoxic", "FFP / blood for coagulopathy; IV fluids; dialysis for renal failure; watch WBCT20"],
    ["Both", "Monitor: vitals, urine output, neuro status; repeat ASV if no improvement in 1-2 hrs"],
]
sb_t = Table(
    [[Paragraph("<b>Type</b>", TH), Paragraph("<b>Specific Management</b>", TH)]] +
    [[Paragraph(r[0], TD_B), Paragraph(r[1], TD)] for r in sb_mgmt],
    colWidths=[3*cm, 14*cm]
)
sb_t.setStyle(TableStyle([
    ('BACKGROUND', (0,0), (-1,0), C_GREEN),
    ('ROWBACKGROUNDS', (0,1), (-1,-1), [C_WHITE, C_GREEN_LIGHT]),
    ('GRID', (0,0), (-1,-1), 0.4, C_GREEN),
    ('TOPPADDING', (0,0), (-1,-1), 4),
    ('BOTTOMPADDING', (0,0), (-1,-1), 4),
    ('LEFTPADDING', (0,0), (-1,-1), 6),
    ('VALIGN', (0,0), (-1,-1), 'MIDDLE'),
]))
story.append(sb_t)
story.append(PageBreak())

# ── FLOWCHART 3: Coma Cocktail ─────────────────────────────────────────────────
story.append(section_box("Flowchart 3: Coma Cocktail — Unknown Comatose Patient", C_AMBER_LIGHT, C_AMBER))
story.append(sp(6))
story.append(flowchart_box("COMATOSE PATIENT — Unknown cause", W_FC, bg=C_AMBER))
story.append(arrow())
story.append(flowchart_box("STEP 1: Secure airway + IV access + SpO2 + BGL + ECG + blood cultures", W_FC, bg=C_MED_BLUE))
story.append(arrow())

coma_cocktail = [
    ["1", "THIAMINE 100 mg IV", "FIRST — before dextrose (prevents Wernicke's in alcoholics)"],
    ["2", "50% DEXTROSE 50 mL IV", "Hypoglycemia correction"],
    ["3", "NALOXONE 0.4-2 mg IV", "Opioid reversal; repeat every 2-3 min up to 10 mg"],
    ["4", "FLUMAZENIL 0.2 mg IV", "Benzodiazepine reversal; CAUTION if seizure history"],
    ["5", "100% OXYGEN", "All causes benefit"],
]
cc_t = Table(
    [[Paragraph("<b>Order</b>", TH), Paragraph("<b>Drug</b>", TH), Paragraph("<b>Rationale</b>", TH)]] +
    [[Paragraph(r[0], TD_C), Paragraph(r[1], TD_B), Paragraph(r[2], TD)] for r in coma_cocktail],
    colWidths=[1.5*cm, 5.5*cm, 10*cm]
)
cc_t.setStyle(TableStyle([
    ('BACKGROUND', (0,0), (-1,0), C_AMBER),
    ('ROWBACKGROUNDS', (0,1), (-1,-1), [C_WHITE, C_AMBER_LIGHT]),
    ('GRID', (0,0), (-1,-1), 0.4, C_AMBER),
    ('TOPPADDING', (0,0), (-1,-1), 4),
    ('BOTTOMPADDING', (0,0), (-1,-1), 4),
    ('LEFTPADDING', (0,0), (-1,-1), 6),
    ('VALIGN', (0,0), (-1,-1), 'MIDDLE'),
]))
story.append(cc_t)
story.append(sp(10))

# ── FLOWCHART 4: Drowning Investigation ───────────────────────────────────────
story.append(section_box("Flowchart 4: Body Recovered from Water — Investigation Protocol", C_LIGHT_BLUE, C_MED_BLUE))
story.append(sp(6))
story.append(flowchart_box("BODY RECOVERED FROM WATER", W_FC, bg=C_MED_BLUE))
story.append(arrow())
story.append(diamond_box("Is there froth at mouth/nostrils? Cadaveric spasm? Vegetation in hand?", W_FC))
story.append(arrow())

drown_flow = Table([
    [flowchart_box("YES — features present\n→ Likely ANTEMORTEM DROWNING", 7.5*cm, bg=C_TEAL),
     flowchart_box("NO / Absent\n→ Consider Postmortem Submersion\nor other cause of death", 7.5*cm, bg=C_RED)],
], colWidths=[8*cm, 8*cm])
drown_flow.setStyle(TableStyle([('VALIGN',(0,0),(-1,-1),'TOP'),('LEFTPADDING',(0,0),(-1,-1),2)]))
story.append(drown_flow)
story.append(arrow())
story.append(flowchart_box("CONFIRM: Diatom test (bone marrow) | Gettler test | Emphysema aquosum on lung", W_FC, bg=C_DARK_BLUE))
story.append(arrow())

drown_samples = [
    ["Diatom test", "Bone marrow (femur), brain, liver, kidney — acid maceration"],
    ["Gettler test", "Blood from L and R heart — compare chloride levels"],
    ["Toxicology", "Blood, urine, vitreous humor"],
    ["Sexual assault", "Vaginal swabs, clothing, pubic hair (if assault suspected)"],
    ["Histology", "Lung, brain, kidney in formalin"],
]
dt = Table(
    [[Paragraph("<b>Test</b>", TH), Paragraph("<b>Samples Required</b>", TH)]] +
    [[Paragraph(r[0], TD_B), Paragraph(r[1], TD)] for r in drown_samples],
    colWidths=[4*cm, 13*cm]
)
dt.setStyle(TableStyle([
    ('BACKGROUND', (0,0), (-1,0), C_MED_BLUE),
    ('ROWBACKGROUNDS', (0,1), (-1,-1), [C_WHITE, C_LIGHT_BLUE]),
    ('GRID', (0,0), (-1,-1), 0.4, C_MED_BLUE),
    ('TOPPADDING', (0,0), (-1,-1), 4),
    ('BOTTOMPADDING', (0,0), (-1,-1), 4),
    ('LEFTPADDING', (0,0), (-1,-1), 6),
    ('VALIGN', (0,0), (-1,-1), 'MIDDLE'),
]))
story.append(dt)
story.append(sp(10))

# ── FLOWCHART 5: Datura Poisoning ─────────────────────────────────────────────
story.append(section_box("Flowchart 5: Datura (Atropine) Poisoning Management", C_PURPLE_LIGHT, C_PURPLE))
story.append(sp(6))
story.append(flowchart_box("PRESENTATION: Hot + Blind + Dry + Red + Mad\n(Hyperthermia | Mydriasis | Dry skin/mouth | Flushing | Delirium)", W_FC, bg=C_PURPLE))
story.append(arrow())
story.append(flowchart_box("DIAGNOSIS: Anticholinergic Toxidrome (Datura/Belladonna/Atropine)", W_FC, bg=C_MED_BLUE))
story.append(arrow())
datura_mgmt = [
    ["1", "Gastric lavage with KMnO4 solution (decontamination)"],
    ["2", "PHYSOSTIGMINE 1-2 mg slow IV (specific antidote — reverses CNS + peripheral anticholinergic effects)"],
    ["3", "NEOSTIGMINE (for peripheral effects only; does not cross BBB)"],
    ["4", "DIAZEPAM IV for agitation/seizures"],
    ["5", "Cold sponging + paracetamol for hyperthermia"],
    ["6", "Urinary catheterization for urinary retention"],
    ["7", "ICU monitoring; dark, quiet room (reduces stimulation)"],
]
dat_t = Table(
    [[Paragraph("<b>Step</b>", TH), Paragraph("<b>Management</b>", TH)]] +
    [[Paragraph(r[0], TD_C), Paragraph(r[1], TD)] for r in datura_mgmt],
    colWidths=[1.5*cm, 15.5*cm]
)
dat_t.setStyle(TableStyle([
    ('BACKGROUND', (0,0), (-1,0), C_PURPLE),
    ('ROWBACKGROUNDS', (0,1), (-1,-1), [C_WHITE, C_PURPLE_LIGHT]),
    ('GRID', (0,0), (-1,-1), 0.4, C_PURPLE),
    ('TOPPADDING', (0,0), (-1,-1), 4),
    ('BOTTOMPADDING', (0,0), (-1,-1), 4),
    ('LEFTPADDING', (0,0), (-1,-1), 6),
    ('VALIGN', (0,0), (-1,-1), 'MIDDLE'),
]))
story.append(dat_t)
story.append(sp(10))

# ── FLOWCHART 6: Brainstem Death ───────────────────────────────────────────────
story.append(section_box("Flowchart 6: Brainstem Death Certification", C_RED_LIGHT, C_RED))
story.append(sp(6))
story.append(flowchart_box("PATIENT: Apnoeic coma on ventilator with known irreversible brain damage", W_FC, bg=C_RED))
story.append(arrow())
story.append(diamond_box("EXCLUDE: Hypothermia (<35°C) | Drugs | Metabolic causes | Neuromuscular blockade", W_FC))
story.append(arrow())
story.append(flowchart_box("BRAINSTEM REFLEX TESTS (all must be absent)", W_FC, bg=C_MED_BLUE))
story.append(arrow())

bsd_tests = [
    ["Pupillary light reflex", "No response to bright light in either eye"],
    ["Corneal reflex", "No blink to corneal touch"],
    ["Oculocephalic (Doll's eye)", "No eye movement on head turning"],
    ["Oculovestibular (Caloric)", "No eye movement with 20 mL cold water in ear"],
    ["Gag / Cough reflex", "No response to pharyngeal/tracheal stimulation"],
    ["Motor response to pain", "No response to pain in cranial nerve distribution (supraorbital pressure)"],
]
bsd_t = Table(
    [[Paragraph("<b>Reflex</b>", TH), Paragraph("<b>Test Result (Absent = BSdeath)</b>", TH)]] +
    [[Paragraph(r[0], TD_B), Paragraph(r[1], TD)] for r in bsd_tests],
    colWidths=[5*cm, 12*cm]
)
bsd_t.setStyle(TableStyle([
    ('BACKGROUND', (0,0), (-1,0), C_RED),
    ('ROWBACKGROUNDS', (0,1), (-1,-1), [C_WHITE, C_RED_LIGHT]),
    ('GRID', (0,0), (-1,-1), 0.4, C_RED),
    ('TOPPADDING', (0,0), (-1,-1), 4),
    ('BOTTOMPADDING', (0,0), (-1,-1), 4),
    ('LEFTPADDING', (0,0), (-1,-1), 6),
    ('VALIGN', (0,0), (-1,-1), 'MIDDLE'),
]))
story.append(bsd_t)
story.append(arrow())
story.append(flowchart_box("APNEA TEST: CO2 allowed to rise > 60 mmHg → No respiratory effort = positive", W_FC, bg=C_DARK_BLUE))
story.append(arrow())
story.append(flowchart_box("REPEAT ALL TESTS (2nd time, by different senior physician not involved in transplant)\n→ BRAINSTEM DEATH CERTIFIED", W_FC, bg=C_TEAL))
story.append(PageBreak())

# ══════════════════════════════════════════════════════════════════════════════
# MASTER QUICK REFERENCE PAGE
# ══════════════════════════════════════════════════════════════════════════════
story.append(chapter_header("MASTER QUICK REFERENCE — FORENSIC MNEMONICS & KEY FACTS", C_DARK_BLUE))
story.append(sp(6))

mnemonics = [
    ["SLUDGE (OPC poisoning)", "Salivation, Lacrimation, Urination, Defecation, GI cramps, Emesis"],
    ["Datura toxidrome", "Hot as a hare | Blind as a bat | Dry as a bone | Red as a beet | Mad as a hatter"],
    ["Coma cocktail", "Thiamine → Dextrose → Naloxone → Flumazenil → O2"],
    ["Grievous hurt (8 types)", "Emas-Eye-Ear-Member-Power-Face-Fracture-Endanger (EEEMP FFE)"],
    ["M'Naghten rules", "Mental disease + Did not know nature of act OR did not know it was wrong"],
    ["Rigor mortis (Nysten's rule)", "Starts jaw → neck → upper limb → trunk → lower limb; disappears same order"],
    ["Casper's Dictum", "1 week air = 2 weeks water = 8 weeks earth (decomposition rate)"],
    ["Hanging mark", "OBLIQUE, INCOMPLETE (open at knot) — above thyroid cartilage"],
    ["Strangulation mark", "HORIZONTAL, COMPLETE — below thyroid cartilage"],
    ["Entry wound", "INVERTED margins + abrasion collar; bone bevel INWARD"],
    ["Exit wound", "EVERTED margins; no collar; bone bevel OUTWARD"],
    ["Hydrostatic test", "Lungs FLOAT = breathed air = liveborn"],
    ["Breslau's / Lung test", "Positive = liveborn; False +ve in putrefaction / artificial respiration"],
    ["Diatom test confirmation", "Diatoms in BONE MARROW = definitive antemortem drowning"],
    ["Burton's line", "Blue-black gum line = LEAD poisoning (Plumbism)"],
    ["Mees' lines", "White transverse nail lines = ARSENIC (or thallium) poisoning"],
    ["Cherry-red blood", "CO poisoning or HCN poisoning or refrigerated body"],
    ["Tardieu spots", "Subpleural/subepicardial petechiae in asphyxia"],
    ["Cadaveric spasm", "Instantaneous rigidity at death; ante-mortem only; no primary relaxation"],
    ["Tache noire", "Brown triangular desiccation mark on sclera; NOT an injury"],
    ["Adipocere", "Warm + moist + anaerobic → saponification of fat → waxy grey-white material"],
    ["Vitriolage (IPC 326A)", "Acid attack; introduced 2013; 10 years to life imprisonment"],
    ["Res ipsa loquitur", "The thing speaks for itself (swab left inside patient)"],
    ["Narcoanalysis", "Cannot be done without consent (Selvi vs Karnataka, 2010)"],
]

mn_t = Table(
    [[Paragraph("<b>Mnemonic / Fact</b>", TH), Paragraph("<b>Full Meaning</b>", TH)]] +
    [[Paragraph(r[0], TD_B), Paragraph(r[1], TD)] for r in mnemonics],
    colWidths=[5.5*cm, 11.5*cm]
)
mn_t.setStyle(TableStyle([
    ('BACKGROUND', (0,0), (-1,0), C_DARK_BLUE),
    ('ROWBACKGROUNDS', (0,1), (-1,-1), [C_WHITE, C_LIGHT_BLUE]),
    ('GRID', (0,0), (-1,-1), 0.4, C_MED_BLUE),
    ('TOPPADDING', (0,0), (-1,-1), 3),
    ('BOTTOMPADDING', (0,0), (-1,-1), 3),
    ('LEFTPADDING', (0,0), (-1,-1), 5),
    ('VALIGN', (0,0), (-1,-1), 'MIDDLE'),
]))
story.append(mn_t)

# ── Build PDF ──────────────────────────────────────────────────────────────────
doc = SimpleDocTemplate(
    OUTPUT,
    pagesize=A4,
    leftMargin=1.5*cm,
    rightMargin=1.5*cm,
    topMargin=1.5*cm,
    bottomMargin=1.8*cm,
    title="Forensic Medicine & Toxicology Quick Reference",
    author="Orris — Based on Narayan Reddy, Gautam Biswas, Parikh",
    subject="Forensic Medicine Summary PDF"
)

doc.build(story, canvasmaker=NumberedCanvas)
print(f"PDF generated: {OUTPUT}")

cd /home/daytona/workspace/forensic-pdf && python generate_pdf.py 2>&1

ls -lh /home/daytona/workspace/forensic-pdf/Forensic_Medicine_Quick_Reference.pd…