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

OUTPUT = "/home/daytona/workspace/fmt-revision/FMT_NEET_PG_Quick_Revision.pdf"

doc = SimpleDocTemplate(
    OUTPUT,
    pagesize=A4,
    leftMargin=15*mm,
    rightMargin=15*mm,
    topMargin=18*mm,
    bottomMargin=18*mm,
    title="FMT Quick Revision - NEET PG",
    author="Orris AI"
)

W, H = A4

# ── colour palette ──
C_DARK   = colors.HexColor("#1a237e")   # deep indigo
C_MED    = colors.HexColor("#283593")
C_ACCENT = colors.HexColor("#e53935")   # red accent
C_GOLD   = colors.HexColor("#f9a825")
C_GREEN  = colors.HexColor("#2e7d32")
C_TEAL   = colors.HexColor("#00695c")
C_BG     = colors.HexColor("#e8eaf6")   # light indigo bg
C_LIGHT  = colors.HexColor("#f5f5f5")
C_WHITE  = colors.white
C_BLACK  = colors.HexColor("#212121")
C_GRAY   = colors.HexColor("#616161")
C_WARN   = colors.HexColor("#fff3e0")
C_WARN_B = colors.HexColor("#ef6c00")

styles = getSampleStyleSheet()

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

# --- custom styles ---
TITLE_S = S("Title", fontName="Helvetica-Bold", fontSize=22,
            textColor=C_WHITE, alignment=TA_CENTER, spaceAfter=4,
            leading=28)
SUB_S   = S("Sub", fontName="Helvetica", fontSize=11,
            textColor=C_BG, alignment=TA_CENTER, spaceAfter=2)
H1      = S("H1", fontName="Helvetica-Bold", fontSize=13,
            textColor=C_WHITE, alignment=TA_LEFT, spaceAfter=2,
            spaceBefore=6, leading=17, leftIndent=4)
H2      = S("H2", fontName="Helvetica-Bold", fontSize=11,
            textColor=C_MED, alignment=TA_LEFT, spaceBefore=6,
            spaceAfter=2, leading=14)
H3      = S("H3", fontName="Helvetica-Bold", fontSize=10,
            textColor=C_TEAL, spaceBefore=4, spaceAfter=1, leading=13)
BODY    = S("Body", fontName="Helvetica", fontSize=9,
            textColor=C_BLACK, leading=13, spaceAfter=1)
BULLET  = S("Bullet", fontName="Helvetica", fontSize=9,
            textColor=C_BLACK, leading=13, leftIndent=12,
            firstLineIndent=-8, spaceAfter=1)
BOLD_B  = S("BoldB", fontName="Helvetica-Bold", fontSize=9,
            textColor=C_BLACK, leading=13, leftIndent=12,
            firstLineIndent=-8, spaceAfter=1)
SMALL   = S("Small", fontName="Helvetica", fontSize=8,
            textColor=C_GRAY, leading=11)
WARN_S  = S("Warn", fontName="Helvetica-Bold", fontSize=9,
            textColor=C_WARN_B, leading=13, spaceAfter=1)
RED_B   = S("RedB", fontName="Helvetica-Bold", fontSize=9,
            textColor=C_ACCENT, leading=13, spaceAfter=1)

def bullet(txt, bold=False):
    st = BOLD_B if bold else BULLET
    return Paragraph(f"\u2022  {txt}", st)

def sub_bullet(txt):
    return Paragraph(f"    \u2013  {txt}",
                     S("SB", fontName="Helvetica", fontSize=8.5,
                       textColor=C_GRAY, leading=12, leftIndent=20,
                       firstLineIndent=-8, spaceAfter=1))

def section_header(title, color=C_DARK):
    data = [[Paragraph(title, H1)]]
    t = Table(data, colWidths=[W - 30*mm])
    t.setStyle(TableStyle([
        ("BACKGROUND", (0,0), (-1,-1), color),
        ("ROUNDEDCORNERS", [4]),
        ("TOPPADDING", (0,0), (-1,-1), 5),
        ("BOTTOMPADDING", (0,0), (-1,-1), 5),
        ("LEFTPADDING", (0,0), (-1,-1), 8),
    ]))
    return t

def key_table(headers, rows, col_widths=None):
    data = [headers] + rows
    if col_widths is None:
        n = len(headers)
        col_widths = [(W - 30*mm) / n] * n
    t = Table(data, colWidths=col_widths, repeatRows=1)
    style = [
        ("BACKGROUND", (0,0), (-1,0), C_DARK),
        ("TEXTCOLOR", (0,0), (-1,0), C_WHITE),
        ("FONTNAME", (0,0), (-1,0), "Helvetica-Bold"),
        ("FONTSIZE", (0,0), (-1,0), 8.5),
        ("FONTNAME", (0,1), (-1,-1), "Helvetica"),
        ("FONTSIZE", (0,1), (-1,-1), 8.5),
        ("ROWBACKGROUNDS", (0,1), (-1,-1), [C_WHITE, C_LIGHT]),
        ("GRID", (0,0), (-1,-1), 0.4, colors.HexColor("#bdbdbd")),
        ("TOPPADDING", (0,0), (-1,-1), 4),
        ("BOTTOMPADDING", (0,0), (-1,-1), 4),
        ("LEFTPADDING", (0,0), (-1,-1), 5),
        ("VALIGN", (0,0), (-1,-1), "MIDDLE"),
    ]
    t.setStyle(TableStyle(style))
    return t

def warn_box(text):
    data = [[Paragraph(f"⚠  {text}", WARN_S)]]
    t = Table(data, colWidths=[W - 30*mm])
    t.setStyle(TableStyle([
        ("BACKGROUND", (0,0), (-1,-1), C_WARN),
        ("LEFTPADDING", (0,0), (-1,-1), 8),
        ("TOPPADDING", (0,0), (-1,-1), 4),
        ("BOTTOMPADDING", (0,0), (-1,-1), 4),
        ("BOX", (0,0), (-1,-1), 1, C_WARN_B),
        ("ROUNDEDCORNERS", [3]),
    ]))
    return t

def highlight_box(text, bg=C_BG, border=C_DARK):
    data = [[Paragraph(text, S("HB", fontName="Helvetica-Bold", fontSize=9,
                               textColor=border, leading=13))]]
    t = Table(data, colWidths=[W - 30*mm])
    t.setStyle(TableStyle([
        ("BACKGROUND", (0,0), (-1,-1), bg),
        ("LEFTPADDING", (0,0), (-1,-1), 8),
        ("TOPPADDING", (0,0), (-1,-1), 5),
        ("BOTTOMPADDING", (0,0), (-1,-1), 5),
        ("BOX", (0,0), (-1,-1), 1.2, border),
        ("ROUNDEDCORNERS", [3]),
    ]))
    return t

# ═══════════════════════════════════════════════════════════
# Build story
# ═══════════════════════════════════════════════════════════
story = []

# ── COVER PAGE ──
cover_data = [[Paragraph("FORENSIC MEDICINE &\nTOXICOLOGY", TITLE_S)],
              [Paragraph("NEET PG — Quick Revision Notes", SUB_S)],
              [Paragraph("Compiled from standard FMT texts | NEET PG Pattern", SMALL)]]
cover = Table(cover_data, colWidths=[W - 30*mm])
cover.setStyle(TableStyle([
    ("BACKGROUND", (0,0), (-1,-1), C_DARK),
    ("TOPPADDING", (0,0), (-1,-1), 16),
    ("BOTTOMPADDING", (0,0), (-1,-1), 16),
    ("LEFTPADDING", (0,0), (-1,-1), 20),
    ("RIGHTPADDING", (0,0), (-1,-1), 20),
    ("ROUNDEDCORNERS", [6]),
]))
story.append(cover)
story.append(Spacer(1, 8*mm))
story.append(highlight_box("📌  High-yield topics marked with ★  |  Mnemonics in [brackets]  |  Classic exam traps underlined"))
story.append(Spacer(1, 5*mm))

# ══════════════════════════════════════
# SECTION 1: DEATH & PM CHANGES
# ══════════════════════════════════════
story.append(section_header("1.  DEATH & POST-MORTEM CHANGES  ★"))
story.append(Spacer(1, 3*mm))

story.append(Paragraph("Types of Death", H2))
story.append(bullet("<b>Somatic / Clinical death</b>: cessation of heartbeat, respiration, CNS activity"))
story.append(bullet("<b>Molecular / Cellular death</b>: irreversible cell death; neurons → 4-6 min"))
story.append(bullet("<b>Brain death</b>: irreversible cessation of all brain function including brainstem"))
story.append(Spacer(1, 2*mm))

story.append(Paragraph("Post-mortem Changes — Timeline", H2))
pm_table = key_table(
    [Paragraph("Change", H3), Paragraph("Onset", H3), Paragraph("Duration / Max", H3), Paragraph("Key Facts", H3)],
    [
        ["Cooling (Algor mortis)", "Immediate", "~1°C/hr", "Rule of thumb: body temp - 36.9°C = hrs since death"],
        ["Livor mortis (hypostasis)", "30 min–2 hrs", "Fixed at 6–12 hrs", "Cherry-red → CO/CN poisoning; absent in severe anaemia"],
        ["Rigor mortis", "2–6 hrs", "Max 12 hrs; passes 24–48 hrs", "Nysten's rule: jaw → neck → trunk → limbs (descending)"],
        ["Decomposition", "24–48 hrs", "Greenish discolouration first", "Green in RIF first (cecum – most bacteria)"],
        ["Putrefaction", "2–3 days", "Ongoing", "H2S causes greenish/black discolouration"],
    ],
    col_widths=[42*mm, 30*mm, 42*mm, 56*mm]
)
story.append(pm_table)
story.append(Spacer(1, 2*mm))

story.append(Paragraph("Special Post-mortem Changes", H2))
items = [
    ("<b>Adipocere (saponification)</b>: conversion of body fat → soap-like substance. Requires moisture + warmth. Preserves body for years.",),
    ("<b>Mummification</b>: dehydration of body in hot dry environment. Preserves body. More common in deserts.",),
    ("<b>Maceration</b>: in stillborn / retained dead fetus; skin slippage, red discolouration of fluid.",),
    ("<b>Cadaveric spasm</b>: instantaneous rigor at moment of death; seen in violent deaths; legal importance (weapon found in hand).",),
]
for (t,) in items:
    story.append(bullet(t))
story.append(Spacer(1, 2*mm))
story.append(warn_box("Rigor mortis EXAM TRAP: First appears in jaw (masseter), passes off in same order. Cadaveric spasm ≠ rigor mortis — no relaxation phase."))
story.append(Spacer(1, 4*mm))

# ══════════════════════════════════════
# SECTION 2: IDENTIFICATION
# ══════════════════════════════════════
story.append(section_header("2.  IDENTIFICATION", C_TEAL))
story.append(Spacer(1, 3*mm))

story.append(Paragraph("Age Estimation", H2))
story.append(bullet("<b>Gustafson's method</b> (teeth): 6 criteria — Attrition, Secondary dentin, Cementum apposition, Root resorption, Periodontosis, Root transparency (mnemonic: <b>AS CRRP</b>)"))
story.append(bullet("<b>X-ray (bone age)</b>: epiphyseal fusion — medial clavicle fuses last (25–31 yrs); iliac crest (16–23 yrs)"))
story.append(bullet("<b>Ossification centres</b>: wrist centres — 1 per year from age 1 to 8"))
story.append(bullet("<b>Union of skull sutures</b>: coronal/lambdoid → 30–40 yrs; sagittal last"))
story.append(Spacer(1, 2*mm))

story.append(Paragraph("Stature Estimation", H2))
story.append(bullet("Femur → most accurate bone for height estimation"))
story.append(bullet("Pearson's formula used for skeletal remains"))
story.append(Spacer(1, 2*mm))

story.append(Paragraph("Sex Determination from Skeleton", H2))
sex_table = key_table(
    ["Feature", "Male", "Female"],
    [
        ["Pelvis", "Narrow, tall, heart-shaped inlet", "Wide, shallow, oval inlet (gynaecoid)"],
        ["Skull", "Heavy, prominent ridges, square orbit", "Smooth, rounded, oval orbit"],
        ["Subpubic angle", "< 90°", "> 90°"],
        ["Sciatic notch", "Narrow (<68°)", "Wide (>68°)"],
        ["Most reliable bone", "Pelvis (sex)", "Pelvis (sex)"],
    ],
    col_widths=[45*mm, 60*mm, 65*mm]
)
story.append(sex_table)
story.append(Spacer(1, 4*mm))

# ══════════════════════════════════════
# SECTION 3: WOUNDS & INJURIES
# ══════════════════════════════════════
story.append(section_header("3.  WOUNDS & INJURIES  ★", C_ACCENT))
story.append(Spacer(1, 3*mm))

story.append(Paragraph("Classification of Wounds", H2))
wounds_table = key_table(
    ["Type", "Characteristics", "Key Exam Point"],
    [
        ["Abrasion", "Epidermis only; direction shown by tag", "Brush burn / graze"],
        ["Contusion", "Bleeding into tissues; no breach of skin", "Tramline bruise → rod injury"],
        ["Laceration", "Tear; irregular edges; hair bridges inside", "NOT an incised wound"],
        ["Incised wound", "Sharp object; clean edges; no hair bridges", "Longer than deep; defence wounds"],
        ["Stab wound", "Pointed object; deeper than long", "Hilt mark = full penetration"],
        ["Chop wound", "Heavy sharp object; bone cut", "e.g. Axe, daoo"],
    ],
    col_widths=[35*mm, 75*mm, 60*mm]
)
story.append(wounds_table)
story.append(Spacer(1, 2*mm))

story.append(Paragraph("Firearm Wounds", H2))
story.append(bullet("<b>Contact range</b>: blackening, charring, cruciate laceration, 'X-shaped' wound, muzzle abrasion"))
story.append(bullet("<b>Close range (<15 cm)</b>: blackening + tattooing (stippling) + singeing"))
story.append(bullet("<b>Near range (15–60 cm)</b>: tattooing only (no blackening)"))
story.append(bullet("<b>Distant range (>60 cm)</b>: entry = small, circular, punched-out, inverted; no burning/tattooing"))
story.append(bullet("<b>Exit wound</b>: larger, irregular, everted, no abrasion collar"))
story.append(Spacer(1, 2*mm))
story.append(warn_box("Entry vs Exit: Entry = smaller + abrasion collar (inverted edges). Exit = larger + irregular + no collar. Bevelling outwards on skull → exit."))
story.append(Spacer(1, 4*mm))

# ══════════════════════════════════════
# SECTION 4: ASPHYXIA
# ══════════════════════════════════════
story.append(section_header("4.  ASPHYXIA  ★", C_MED))
story.append(Spacer(1, 3*mm))

story.append(Paragraph("Types & Key Differences", H2))
asphyx_table = key_table(
    ["Type", "Key Feature", "PM Findings", "Exam Pointer"],
    [
        ["Hanging", "Ligature above thyroid; oblique, incomplete mark", "Fracture of C2-3 (judicial); tongue protruded", "Suicidal most common; mark incomplete at knot"],
        ["Strangulation (ligature)", "Mark below thyroid; horizontal, complete", "Mark complete all around", "Homicidal; mark complete"],
        ["Throttling (manual)", "Finger-nail marks on neck", "Fracture of hyoid ★", "Always homicidal"],
        ["Mugging (arm-lock)", "Carotid compression", "No external marks", "Homicidal"],
        ["Suffocation/Smothering", "Nose+mouth obstruction", "Cyanosis, petechia", "Pillow smothering – no marks"],
        ["Drowning (wet)", "Water in lungs", "Paltauf haemorrhages, diatom test +ve", "Diatom test from bone marrow"],
        ["Dry drowning", "Laryngospasm", "Asphyxial signs only, dry lungs", "~10–15% of drowning deaths"],
    ],
    col_widths=[35*mm, 50*mm, 50*mm, 35*mm]
)
story.append(asphyx_table)
story.append(Spacer(1, 2*mm))
story.append(highlight_box("★ Hyoid bone fracture = pathognomonic of manual strangulation (throttling). Commonest bone fractured in neck compression."))
story.append(Spacer(1, 2*mm))
story.append(bullet("<b>PM findings of asphyxia (general)</b>: cyanosis, congestion, petechial haemorrhages (Tardieu spots on lungs/conjunctiva), fluidity of blood"))
story.append(Spacer(1, 4*mm))

# ══════════════════════════════════════
# SECTION 5: SEXUAL OFFENCES
# ══════════════════════════════════════
story.append(section_header("5.  SEXUAL OFFENCES & OBSTETRIC MLI", C_TEAL))
story.append(Spacer(1, 3*mm))

story.append(Paragraph("Rape — IPC Sections", H2))
story.append(bullet("<b>IPC Sec 375</b>: Definition of rape (amended 2013 — POCSO) — includes all forms of non-consensual penetration"))
story.append(bullet("<b>IPC Sec 376</b>: Punishment for rape — min 7 years, up to life"))
story.append(bullet("<b>IPC Sec 377</b>: Unnatural offences"))
story.append(Spacer(1, 2*mm))

story.append(Paragraph("MLI Examination of Rape Victim", H2))
story.append(bullet("Examine with consent + female attendant; document all injuries"))
story.append(bullet("<b>Hymen</b>: not proof of virginity; tears most common at 5 & 7 o'clock positions posteriorly"))
story.append(bullet("<b>Vaginal swabs</b>: motile spermatozoa up to 6 hrs; non-motile up to 72 hrs"))
story.append(bullet("Seminal acid phosphatase, DNA fingerprinting"))
story.append(Spacer(1, 2*mm))

story.append(Paragraph("MTP Act 1971 (Amended 2021)", H2))
story.append(bullet("Up to <b>20 weeks</b>: 1 doctor's opinion"))
story.append(bullet("20–24 weeks: 2 doctors' opinion (specific categories — rape, disabled, etc.)"))
story.append(bullet(">24 weeks: Medical Board only (fetal abnormality)"))
story.append(bullet("Unmarried women can also seek MTP (2021 amendment)"))
story.append(Spacer(1, 2*mm))

story.append(Paragraph("PCPNDT Act 1994", H2))
story.append(bullet("Prohibits sex determination of fetus"))
story.append(bullet("Punishable: 3 years imprisonment + ₹10,000 fine (first offence); 5 years + ₹50,000 (subsequent)"))
story.append(Spacer(1, 4*mm))

# ══════════════════════════════════════
# SECTION 6: MEDICAL JURISPRUDENCE
# ══════════════════════════════════════
story.append(section_header("6.  MEDICAL JURISPRUDENCE  ★", C_DARK))
story.append(Spacer(1, 3*mm))

story.append(Paragraph("Important IPC Sections — Quick Reference", H2))
ipc_table = key_table(
    ["IPC Section", "Offence"],
    [
        ["299 / 300", "Culpable homicide / Murder"],
        ["302", "Punishment for murder (death / life imprisonment)"],
        ["304 A", "Death by negligence (not amounting to murder) — medical negligence"],
        ["312", "Causing miscarriage (voluntarily)"],
        ["313", "Causing miscarriage without consent"],
        ["316", "Causing death of quick unborn child"],
        ["375", "Rape (definition)"],
        ["376", "Punishment for rape"],
        ["377", "Unnatural offences"],
        ["354", "Outraging modesty of woman"],
        ["509", "Word/gesture to insult modesty"],
    ],
    col_widths=[35*mm, 135*mm]
)
story.append(ipc_table)
story.append(Spacer(1, 2*mm))

story.append(Paragraph("Medical Negligence", H2))
story.append(bullet("<b>Bolam test</b> (1957): standard of care = what a reasonable body of medical opinion accepts as proper — still gold standard in India"))
story.append(bullet("<b>Bolitho modification</b>: the body of opinion must withstand logical analysis"))
story.append(bullet("<b>3 Ds of negligence</b>: Duty, Dereliction of duty, Damage resulting from dereliction"))
story.append(bullet("<b>Consumer Protection Act 2019</b>: Patients are consumers; doctors providing service (except free/charitable services) are covered"))
story.append(Spacer(1, 2*mm))

story.append(Paragraph("Dying Declaration", H2))
story.append(bullet("Statement by person who is dying / believes death is imminent"))
story.append(bullet("Admissible under <b>Indian Evidence Act Sec 32(1)</b>"))
story.append(bullet("Not necessary to be recorded by magistrate — any person including doctor"))
story.append(bullet("Does not require corroboration but court may seek it"))
story.append(bullet("Patient must be in fit mental state (doctor certifies fitness)"))
story.append(Spacer(1, 2*mm))

story.append(Paragraph("Inquest Types", H2))
inq_table = key_table(
    ["Type", "Authority", "When Conducted"],
    [
        ["Police inquest", "Police (Sec 174 CrPC)", "Any suspicious / unnatural death"],
        ["Magistrate inquest", "Executive Magistrate", "Death in police custody, jail, mental hospital, plantation"],
        ["Coroner's inquest", "Coroner (Mumbai, Calcutta)", "Similar to magistrate inquest"],
        ["Medical examiner system", "Forensic pathologist", "USA system; best medicolegal system"],
    ],
    col_widths=[40*mm, 60*mm, 70*mm]
)
story.append(inq_table)
story.append(Spacer(1, 4*mm))

# ══════════════════════════════════════
# PAGE BREAK → TOXICOLOGY
# ══════════════════════════════════════
story.append(PageBreak())

tox_cover = [[Paragraph("TOXICOLOGY", TITLE_S)],
             [Paragraph("Poisons — Classification, Features, Antidotes", SUB_S)]]
tc = Table(tox_cover, colWidths=[W - 30*mm])
tc.setStyle(TableStyle([
    ("BACKGROUND", (0,0), (-1,-1), C_ACCENT),
    ("TOPPADDING", (0,0), (-1,-1), 12),
    ("BOTTOMPADDING", (0,0), (-1,-1), 12),
    ("LEFTPADDING", (0,0), (-1,-1), 20),
    ("ROUNDEDCORNERS", [6]),
]))
story.append(tc)
story.append(Spacer(1, 6*mm))

# ══════════════════════════════════════
# SECTION 7: CORROSIVE POISONS
# ══════════════════════════════════════
story.append(section_header("7.  CORROSIVE POISONS", C_ACCENT))
story.append(Spacer(1, 3*mm))

corr_table = key_table(
    ["Poison", "Stain / Colour", "Key Features", "Antidote"],
    [
        ["Sulphuric acid (H₂SO₄)", "Black/brown eschar", "Charring; most common acid burn; tanners'", "Dilute alkali (milk, chalk)"],
        ["Nitric acid (HNO₃)", "Yellow (xanthoprotein rxn)", "Fuming; yellow staining of skin", "Dilute alkali"],
        ["Hydrochloric acid", "Grey eschar", "Fumes HC; bleaching powder odour", "Dilute alkali"],
        ["Oxalic acid", "White eschar", "Hypocalcaemia, renal tubular damage", "Calcium gluconate IV"],
        ["Carbolic acid (Phenol)", "White → brown eschar", "Distinctive phenol smell; glassy look", "Sodium sulphate; olive oil"],
        ["NaOH / KOH (Lye)", "Soapy, slippery", "Saponification of tissues; deep burns", "Dilute acid / vinegar"],
    ],
    col_widths=[38*mm, 32*mm, 70*mm, 30*mm]
)
story.append(corr_table)
story.append(Spacer(1, 4*mm))

# ══════════════════════════════════════
# SECTION 8: IRRITANT METALLIC POISONS
# ══════════════════════════════════════
story.append(section_header("8.  IRRITANT METALLIC POISONS  ★", C_WARN_B))
story.append(Spacer(1, 3*mm))

metal_table = key_table(
    ["Metal", "Classic Sign / Disease", "Diagnosis", "Antidote"],
    [
        ["Arsenic (As)", "Mee's lines (nails), Rain-drop pigmentation, Aldrich-Mees lines, Peripheral neuropathy", "Marsh test, Reinsch test, Hair analysis", "BAL (Dimercaprol), DMSA"],
        ["Lead (Pb)", "Burton's line (blue), Wrist/foot drop, Lead colic, Basophilic stippling, Encephalopathy", "Blood lead level, X-ray (lead lines in bone)", "EDTA (CaNa₂EDTA), BAL, Succimer"],
        ["Mercury (Hg)", "Minamata disease (methylmercury), Pink disease (acrodynia) in children, Hatters' shakes", "Urine mercury", "BAL, DMSA"],
        ["Phosphorus (P)", "Phossy jaw (necrosis of mandible), Luminescent vomitus ('smoking stool')", "Garlic odour; glows in dark", "Copper sulphate wash; no fats"],
        ["Copper (Cu)", "Blue-green vomitus, haemolysis", "Wilson's disease (chronic)", "BAL; D-penicillamine"],
        ["Thallium (Tl)", "Alopecia (hair loss) ★, peripheral neuropathy", "Urine thallium", "Prussian blue (Berlin blue)"],
    ],
    col_widths=[28*mm, 65*mm, 42*mm, 35*mm]
)
story.append(metal_table)
story.append(Spacer(1, 2*mm))
story.append(warn_box("Arsenic EXAM: Marsh test = arsine gas; Reinsch test = silvery metallic deposit on copper strip. Chronic arsenic → Mee's lines on nails (1mm = 1 month)."))
story.append(Spacer(1, 4*mm))

# ══════════════════════════════════════
# SECTION 9: NEUROTROPIC POISONS
# ══════════════════════════════════════
story.append(section_header("9.  NEUROTROPIC / CNS POISONS  ★", C_TEAL))
story.append(Spacer(1, 3*mm))

neuro_table = key_table(
    ["Poison", "Source", "Mechanism", "Features", "Antidote"],
    [
        ["Strychnine", "Nux vomica", "Glycine antagonist (spinal cord)", "Risus sardonicus, opisthotonus, convulsions triggered by stimuli, NO loss of consciousness", "Diazepam; avoid stimuli"],
        ["Dhatura (Atropine)", "Datura stramonium", "Anticholinergic (muscarinic block)", "Dry as bone, Red as beet, Blind as bat, Mad as hatter, Hot as hare — [5 B's]", "Physostigmine; supportive"],
        ["Cocaine", "Coca leaves", "NA reuptake inhibitor + local anaesthetic", "Euphoria → paranoia, mydriasis, Maddening of Maradona", "Benzodiazepine; supportive"],
        ["Cannabis", "Cannabis sativa", "CB1/CB2 agonist", "Bhang/Ganja/Hashish; injected eyes (conjunctival congestion), munchies", "Supportive; BZD"],
        ["Aconite", "Aconitum napellus", "Na channel activator", "'King of poisons'; tingling/numbness, cardiac arrhythmia", "Atropine; lignocaine"],
        ["Opium / Morphine", "Papaver somniferum", "μ-opioid agonist", "Pin-point pupils ★, respiratory depression, coma — classic triad", "Naloxone (Narcan) IV"],
    ],
    col_widths=[28*mm, 28*mm, 38*mm, 52*mm, 24*mm]
)
story.append(neuro_table)
story.append(Spacer(1, 2*mm))
story.append(highlight_box("★ Strychnine vs Tetanus: Both → opisthotonus + rigidity. Difference — Strychnine: no trismus initially, muscles relax between spasms, NO fever. Tetanus: trismus first, sustained rigidity, fever."))
story.append(Spacer(1, 4*mm))

# ══════════════════════════════════════
# SECTION 10: OP POISONING
# ══════════════════════════════════════
story.append(section_header("10.  ORGANOPHOSPHORUS POISONING  ★★", C_GREEN))
story.append(Spacer(1, 3*mm))

story.append(Paragraph("Mechanism", H2))
story.append(bullet("Inhibits acetylcholinesterase → accumulation of acetylcholine at synapses"))
story.append(bullet("Examples: Parathion, Malathion, Chlorpyrifos, Sarin (nerve agent)"))
story.append(Spacer(1, 2*mm))

story.append(Paragraph("Clinical Features — SLUDGE / DUMBELS Mnemonics", H2))

mnemo_data = [
    [Paragraph("<b>SLUDGE</b>", H3), Paragraph("<b>DUMBELS (more complete)</b>", H3)],
    [
        Paragraph("S – Salivation\nL – Lacrimation\nU – Urination\nD – Defecation\nG – GI cramps\nE – Emesis",
                  S("MN", fontName="Helvetica", fontSize=9, leading=14, textColor=C_BLACK)),
        Paragraph("D – Defecation/Diarrhoea\nU – Urination\nM – Miosis ★\nB – Bradycardia / Bronchospasm / Bronchorrhoea\nE – Emesis\nL – Lacrimation\nS – Salivation / Secretions / Seizures",
                  S("MN", fontName="Helvetica", fontSize=9, leading=14, textColor=C_BLACK)),
    ]
]
mt = Table(mnemo_data, colWidths=[(W - 30*mm)/2, (W - 30*mm)/2])
mt.setStyle(TableStyle([
    ("BACKGROUND", (0,0), (-1,0), C_GREEN),
    ("TEXTCOLOR", (0,0), (-1,0), C_WHITE),
    ("BACKGROUND", (0,1), (-1,1), colors.HexColor("#e8f5e9")),
    ("GRID", (0,0), (-1,-1), 0.5, colors.HexColor("#a5d6a7")),
    ("TOPPADDING", (0,0), (-1,-1), 6),
    ("BOTTOMPADDING", (0,0), (-1,-1), 6),
    ("LEFTPADDING", (0,0), (-1,-1), 8),
    ("VALIGN", (0,0), (-1,-1), "TOP"),
]))
story.append(mt)
story.append(Spacer(1, 2*mm))

story.append(Paragraph("Nicotinic (NMJ) Effects", H2))
story.append(bullet("Muscle fasciculations → weakness → paralysis (intermediate syndrome Day 2–4)"))
story.append(bullet("Tachycardia, hypertension (early nicotinic overstimulation)"))
story.append(Spacer(1, 2*mm))

story.append(Paragraph("Treatment", H2))
story.append(bullet("<b>Atropine</b>: reverses muscarinic effects; titrate till secretions dry up (NOT pupil dilation); very high doses required", bold=True))
story.append(bullet("<b>Pralidoxime (PAM / 2-PAM)</b>: regenerates cholinesterase if given within 24–48 hrs (before 'ageing')", bold=True))
story.append(bullet("Benzodiazepines for seizures; supportive care"))
story.append(Spacer(1, 2*mm))
story.append(warn_box("Ageing: OP-AChE complex becomes irreversible after ~24-48 hrs — PAM ineffective after this. Atropine has NO time limit."))
story.append(Spacer(1, 4*mm))

# ══════════════════════════════════════
# SECTION 11: ALCOHOL
# ══════════════════════════════════════
story.append(section_header("11.  ALCOHOL POISONING  ★", C_DARK))
story.append(Spacer(1, 3*mm))

story.append(Paragraph("Ethanol Blood Levels & Effects", H2))
alc_table = key_table(
    ["Blood Alcohol (mg%)", "Effect"],
    [
        ["< 30 mg%", "Subclinical; reaction time prolonged"],
        ["30–50 mg%", "Euphoria, talkativeness"],
        ["50–100 mg%", "Impaired coordination, judgment"],
        ["100–150 mg%", "Ataxia, slurred speech"],
        ["150–250 mg%", "Confusion, diplopia"],
        ["250–400 mg%", "Stupor, incontinence"],
        ["> 400 mg% (lethal)", "Coma, respiratory failure, death"],
        ["Driving limit (India)", "30 mg% (blood) = 150 mg/L (urine)"],
    ],
    col_widths=[55*mm, 115*mm]
)
story.append(alc_table)
story.append(Spacer(1, 2*mm))

story.append(Paragraph("Methanol (CH₃OH) Poisoning", H2))
story.append(bullet("Metabolised by alcohol dehydrogenase to → <b>Formic acid + Formaldehyde</b>"))
story.append(bullet("Blindness: optic nerve damage by formic acid ★"))
story.append(bullet("Metabolic acidosis with high anion gap; snowy-field vision"))
story.append(bullet("<b>Antidote</b>: Ethanol (competitive inhibitor of ADH) OR Fomepizole (4-MP) — drug of choice; Folic acid; Haemodialysis", bold=True))
story.append(Spacer(1, 2*mm))
story.append(highlight_box("Latent period in methanol: 12–24 hrs (during metabolism to toxic metabolites). Patient initially appears fine, then deteriorates — classic exam feature."))
story.append(Spacer(1, 4*mm))

# ══════════════════════════════════════
# SECTION 12: ASPHYXIANT POISONS
# ══════════════════════════════════════
story.append(section_header("12.  ASPHYXIANT POISONS  ★", C_ACCENT))
story.append(Spacer(1, 3*mm))

asphy_table = key_table(
    ["Poison", "Source", "Mechanism", "Key PM Finding", "Antidote"],
    [
        ["Carbon monoxide (CO)", "Incomplete combustion, car exhaust", "Binds Hb (240× > O₂); shifts ODC left", "Cherry-red skin & organs ★; COHb levels", "100% O₂; Hyperbaric O₂"],
        ["Cyanide (HCN)", "Bitter almonds, industrial", "Cytochrome oxidase inhibition (histotoxic hypoxia)", "Bitter almond smell; cherry-red blood (venous)", "Amyl nitrite → Na nitrite → Na thiosulphate; Hydroxocobalamin"],
        ["H₂S (Hydrogen sulphide)", "Sewers, rotten eggs", "Cytochrome oxidase inhibition similar to CN", "Rotten egg smell; greenish discolouration", "Supportive; O₂; nitrites"],
    ],
    col_widths=[30*mm, 35*mm, 45*mm, 45*mm, 15*mm]
)
story.append(asphy_table)
story.append(Spacer(1, 2*mm))
story.append(warn_box("CO poisoning: COHb >10% = symptomatic. COHb >50% = usually fatal. Cherry-red lividity on autopsy. Standard pulse oximetry CANNOT detect CO poisoning (reads falsely normal)."))
story.append(Spacer(1, 4*mm))

# ══════════════════════════════════════
# SECTION 13: SNAKE VENOM
# ══════════════════════════════════════
story.append(section_header("13.  SNAKE VENOM  ★", C_TEAL))
story.append(Spacer(1, 3*mm))

snake_table = key_table(
    ["Snake", "Venom Type", "Mechanism", "Features", "Treatment"],
    [
        ["Cobra (Naja naja)", "Neurotoxin (post-synaptic)", "Blocks nAChR", "Ptosis, diplopia, bulbar palsy, respiratory paralysis; local — mild", "Polyvalent antivenom"],
        ["Krait (Bungarus)", "Neurotoxin (pre-synaptic)", "Blocks ACh release", "Severe paralysis; NO local signs; nocturnal bites", "Polyvalent antivenom (less responsive)"],
        ["Russell's viper", "Haemotoxin", "PLA₂, procoagulants → DIC + local necrosis", "Bleeding, haematuria, renal failure (most common cause of ARF by snakebite)", "Polyvalent antivenom; FFP"],
        ["Saw-scaled viper", "Haemotoxin + cytotoxin", "Coagulopathy, cytotoxic", "Haemorrhage, necrosis", "Antivenom"],
        ["Sea snake", "Myotoxin", "Rhabdomyolysis", "Myalgias, dark urine, renal failure", "Antivenom; supportive"],
    ],
    col_widths=[28*mm, 30*mm, 38*mm, 45*mm, 29*mm]
)
story.append(snake_table)
story.append(Spacer(1, 2*mm))
story.append(bullet("20-min whole blood clotting test (20WBCT): used in field — if blood doesn't clot in 20 min → coagulopathy (viper envenomation)"))
story.append(Spacer(1, 4*mm))

# ══════════════════════════════════════
# SECTION 14: HIGH-YIELD SUMMARY TABLE
# ══════════════════════════════════════
story.append(PageBreak())
story.append(section_header("15.  HIGH-YIELD FACTS — EXAM RAPID FIRE  ★★★", C_DARK))
story.append(Spacer(1, 3*mm))

rapid = key_table(
    ["Topic", "High-Yield Fact"],
    [
        ["Rigor mortis", "Starts: 2–6 hrs; Complete: 12 hrs; Passes: 24–48 hrs; Nysten's rule (jaw first)"],
        ["Cadaveric spasm", "Instantaneous rigor at death; no relaxation phase; NO primary flaccidity"],
        ["Adipocere", "Warm + moist conditions; saponification; preserves body; female > male"],
        ["Mummification", "Hot + dry; dehydration; preserves body; found in deserts/egypt"],
        ["Tardieu spots", "Petechial haemorrhages in asphyxial deaths; subpleural in lungs"],
        ["Paltauf haemorrhages", "Large haemorrhages in lungs in drowning (wet drowning)"],
        ["Hanging — judicial", "Fracture C2-C3 (axis/atlas); cause of death = fracture-dislocation"],
        ["Throttling — hyoid bone", "Hyoid bone fracture = manual strangulation (>40 yrs age)"],
        ["Cherry-red colour", "CO poisoning / CN poisoning / refrigerated body"],
        ["Miosis (pin-point pupils)", "Opiates, organophosphorus, pontine haemorrhage"],
        ["Mydriasis (dilated pupils)", "Atropine/dhatura, cocaine, amphetamines, death"],
        ["Risus sardonicus", "Strychnine / tetanus"],
        ["Mee's lines on nails", "Arsenic poisoning (1 mm per month of exposure)"],
        ["Burton's line (gums)", "Lead poisoning (blue-black line at gum margin)"],
        ["Phossy jaw", "Phosphorus poisoning (factory workers)"],
        ["Minamata disease", "Methylmercury (organic mercury) — Japan"],
        ["Pink disease (acrodynia)", "Inorganic mercury in children; pink extremities, photophobia"],
        ["Marsh test / Reinsch test", "Arsenic detection"],
        ["20WBCT", "Russell's viper diagnosis — coagulopathy test"],
        ["Diatom test", "Drowning; most reliable from bone marrow / liver"],
        ["Bolam test", "Standard of medical negligence (1957)"],
        ["Sec 304A IPC", "Negligence causing death — most common section used vs doctors"],
        ["MTP Act limit 2021", "Up to 20 wks (1 doctor); 20–24 wks (2 doctors); >24 wks (Medical Board)"],
        ["Driving alcohol limit India", "30 mg% blood alcohol"],
        ["Thallium poisoning", "Alopecia (hair loss) — hallmark; Prussian blue antidote"],
        ["Prussian blue antidote", "Thallium + Caesium poisoning"],
        ["Fomepizole (4-MP)", "Drug of choice for methanol + ethylene glycol poisoning"],
        ["Naloxone (Narcan)", "Opioid antidote; short-acting → repeat doses needed"],
        ["Atropine + PAM", "OP poisoning treatment; PAM works within 24-48 hrs only"],
        ["Hydroxocobalamin", "Preferred antidote for cyanide (especially in smoke inhalation)"],
        ["Gustafson's method", "Age estimation from teeth — 6 criteria"],
        ["Femur", "Most accurate bone for height estimation"],
        ["Subpubic angle", "Male <90°; Female >90°; most reliable sex indicator in pelvis"],
        ["Sciatic notch", "Narrow in male (<68°); wide in female (>68°)"],
    ],
    col_widths=[52*mm, 118*mm]
)
story.append(rapid)
story.append(Spacer(1, 4*mm))

# ══════════════════════════════════════
# SECTION 15: ANTIDOTES AT A GLANCE
# ══════════════════════════════════════
story.append(section_header("16.  ANTIDOTES AT A GLANCE  ★★", C_GREEN))
story.append(Spacer(1, 3*mm))

anti_table = key_table(
    ["Poison", "Antidote"],
    [
        ["Organophosphorus", "Atropine + Pralidoxime (2-PAM)"],
        ["Opioids (morphine, heroin)", "Naloxone (Narcan)"],
        ["Carbon monoxide", "100% O₂; Hyperbaric O₂"],
        ["Cyanide (HCN)", "Amyl nitrite → Na nitrite → Na thiosulphate; OR Hydroxocobalamin"],
        ["Arsenic", "BAL (Dimercaprol); DMSA (succimer)"],
        ["Lead", "CaNa₂EDTA (IV); BAL + EDTA (severe); Succimer (oral)"],
        ["Mercury", "BAL; DMSA"],
        ["Iron", "Desferrioxamine (deferoxamine)"],
        ["Copper / D-penicillamine", "D-penicillamine; Trientine"],
        ["Thallium", "Prussian blue (Berlin blue); Activated charcoal"],
        ["Paracetamol", "N-acetylcysteine (NAC)"],
        ["Methanol / Ethylene glycol", "Fomepizole (4-MP); Ethanol; Haemodialysis"],
        ["Atropine / Dhatura", "Physostigmine; Neostigmine"],
        ["Benzodiazepines", "Flumazenil"],
        ["Digoxin", "Digoxin-specific antibody Fab fragments"],
        ["Heparin", "Protamine sulphate"],
        ["Warfarin", "Vitamin K; Fresh Frozen Plasma (FFP)"],
        ["Beta-blockers", "Glucagon; High-dose insulin"],
        ["Calcium channel blockers", "Calcium gluconate; High-dose insulin"],
        ["Organochlorines (DDT)", "Cholestyramine; Phenobarbitone (enhances metabolism)"],
    ],
    col_widths=[80*mm, 90*mm]
)
story.append(anti_table)
story.append(Spacer(1, 5*mm))

# Footer note
footer = Paragraph(
    "This document is compiled for NEET PG exam preparation. Always verify with standard textbooks (Parikh's / KS Narayan Reddy / Apurba Nandy) for complete information.",
    S("Footer", fontName="Helvetica-Oblique", fontSize=7.5, textColor=C_GRAY, alignment=TA_CENTER)
)
story.append(footer)

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