📅 MBBS 3rd Prof Exam Study Plan

from reportlab.lib.pagesizes import A4
from reportlab.lib import colors
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.units import 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 ListFlowable, ListItem

OUTPUT = "/home/daytona/workspace/mbbs-study/HighYield_PSM_FMT.pdf"

doc = SimpleDocTemplate(
    OUTPUT,
    pagesize=A4,
    rightMargin=1.8*cm,
    leftMargin=1.8*cm,
    topMargin=2*cm,
    bottomMargin=2*cm,
)

W, H = A4

# ── Colour palette ──────────────────────────────────────────────
PSM_DARK   = colors.HexColor("#1a5276")   # deep blue
PSM_LIGHT  = colors.HexColor("#d6eaf8")   # light blue
FMT_DARK   = colors.HexColor("#7b241c")   # deep red
FMT_LIGHT  = colors.HexColor("#fadbd8")   # light red
GOLD       = colors.HexColor("#f0b000")
GREY_BG    = colors.HexColor("#f4f6f7")
BLACK      = colors.black
WHITE      = colors.white

base = getSampleStyleSheet()

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

# ── Styles ───────────────────────────────────────────────────────
TITLE = style("Title2", fontName="Helvetica-Bold", fontSize=22,
              textColor=WHITE, alignment=TA_CENTER, spaceAfter=4)
SUBTITLE = style("Subtitle2", fontName="Helvetica", fontSize=11,
                 textColor=WHITE, alignment=TA_CENTER, spaceAfter=2)
DATE_S = style("Date", fontName="Helvetica-Oblique", fontSize=9,
               textColor=GOLD, alignment=TA_CENTER, spaceAfter=0)

SEC_HEAD = style("SecHead", fontName="Helvetica-Bold", fontSize=13,
                 textColor=WHITE, alignment=TA_LEFT,
                 leftIndent=6, spaceAfter=0, spaceBefore=6)

TOPIC_HEAD = style("TopicHead", fontName="Helvetica-Bold", fontSize=10,
                   textColor=PSM_DARK, spaceBefore=5, spaceAfter=1)
TOPIC_HEAD_FMT = style("TopicHeadFMT", fontName="Helvetica-Bold", fontSize=10,
                       textColor=FMT_DARK, spaceBefore=5, spaceAfter=1)

BODY = style("Body2", fontName="Helvetica", fontSize=8.5,
             leading=13, spaceAfter=1, leftIndent=10)
BODY_B = style("BodyB", fontName="Helvetica-Bold", fontSize=8.5,
               leading=13, spaceAfter=1, leftIndent=10)

NOTE = style("Note", fontName="Helvetica-Oblique", fontSize=8,
             textColor=colors.HexColor("#555555"), leftIndent=10, spaceAfter=2)

FORMULA = style("Formula", fontName="Courier-Bold", fontSize=8.5,
                backColor=colors.HexColor("#eaf4fb"),
                borderPadding=(3, 6, 3, 6), leftIndent=10,
                spaceBefore=2, spaceAfter=4)

FOOTER_S = style("Footer", fontName="Helvetica-Oblique", fontSize=7,
                 textColor=colors.grey, alignment=TA_CENTER)

def add_footer(canvas, doc):
    canvas.saveState()
    canvas.setFont("Helvetica-Oblique", 7)
    canvas.setFillColor(colors.grey)
    canvas.drawCentredString(W/2, 1.1*cm, f"High-Yield PSM & FMT Summary  |  3rd Prof MBBS  |  Exam: August 3, 2026  |  Page {doc.page}")
    canvas.restoreState()

def section_banner(text, color):
    tbl = Table([[Paragraph(text, SEC_HEAD)]], colWidths=[W - 3.6*cm])
    tbl.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), 8),
        ("ROUNDEDCORNERS", [4, 4, 4, 4]),
    ]))
    return tbl

def topic_box(title, items, head_style, bg_color, border_color):
    """Renders a titled box with bullet items."""
    header = Table([[Paragraph(title, head_style)]], colWidths=[W - 3.6*cm])
    header.setStyle(TableStyle([
        ("BACKGROUND", (0,0), (-1,-1), bg_color),
        ("TOPPADDING", (0,0), (-1,-1), 4),
        ("BOTTOMPADDING", (0,0), (-1,-1), 4),
        ("LEFTPADDING", (0,0), (-1,-1), 8),
        ("LINEBELOW", (0,0), (-1,-1), 0.5, border_color),
    ]))
    rows = [[Paragraph(f"• {i}", BODY)] for i in items]
    body = Table(rows, colWidths=[W - 3.6*cm])
    body.setStyle(TableStyle([
        ("BACKGROUND", (0,0), (-1,-1), GREY_BG),
        ("TOPPADDING", (0,0), (-1,-1), 2),
        ("BOTTOMPADDING", (0,0), (-1,-1), 2),
        ("LEFTPADDING", (0,0), (-1,-1), 10),
        ("LINEAFTER", (0,0), (0,-1), 2, border_color),
    ]))
    return KeepTogether([header, body, Spacer(1, 4)])

def two_col_table(data_left, data_right, head_l, head_r, bg_l, bg_r, border_l, border_r):
    """Two side-by-side topic boxes."""
    col = (W - 3.6*cm) / 2 - 4

    def build_col(title, items, hs, bg, bc):
        rows = [[Paragraph(title, hs)]]
        for i in items:
            rows.append([Paragraph(f"• {i}", BODY)])
        t = Table(rows, colWidths=[col])
        t.setStyle(TableStyle([
            ("BACKGROUND", (0,0), (0,0), bg),
            ("BACKGROUND", (0,1), (-1,-1), GREY_BG),
            ("TOPPADDING", (0,0), (-1,-1), 3),
            ("BOTTOMPADDING", (0,0), (-1,-1), 2),
            ("LEFTPADDING", (0,0), (-1,-1), 6),
            ("LINEAFTER", (0,0), (0,-1), 1.5, bc),
            ("LINEBELOW", (0,0), (0,0), 0.5, bc),
        ]))
        return t

    left = build_col(head_l, data_left, TOPIC_HEAD if bg_l==PSM_LIGHT else TOPIC_HEAD_FMT, bg_l, border_l)
    right = build_col(head_r, data_right, TOPIC_HEAD_FMT if bg_r==FMT_LIGHT else TOPIC_HEAD, bg_r, border_r)

    outer = Table([[left, right]], colWidths=[col+4, col+4])
    outer.setStyle(TableStyle([
        ("VALIGN", (0,0), (-1,-1), "TOP"),
        ("LEFTPADDING", (0,0), (-1,-1), 0),
        ("RIGHTPADDING", (0,0), (-1,-1), 0),
    ]))
    return KeepTogether([outer, Spacer(1, 6)])

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

# ── COVER BLOCK ──────────────────────────────────────────────────
cover_data = [[
    Paragraph("HIGH-YIELD SUMMARY", TITLE),
    Paragraph("PSM (Community Medicine)  &  FMT (Forensic Medicine)", SUBTITLE),
    Paragraph("3rd Prof MBBS  |  Exam: August 3, 2026", DATE_S),
]]
cover_tbl = Table(cover_data, colWidths=[W - 3.6*cm])
cover_tbl.setStyle(TableStyle([
    ("BACKGROUND", (0,0), (-1,-1), PSM_DARK),
    ("TOPPADDING", (0,0), (-1,-1), 14),
    ("BOTTOMPADDING", (0,0), (-1,-1), 14),
    ("LEFTPADDING", (0,0), (-1,-1), 12),
    ("ROUNDEDCORNERS", [6, 6, 6, 6]),
]))
story.append(cover_tbl)
story.append(Spacer(1, 10))
story.append(HRFlowable(width="100%", thickness=2, color=GOLD))
story.append(Spacer(1, 8))

# ════════════════════════════════════════════════════
# SECTION 1: PSM
# ════════════════════════════════════════════════════
story.append(section_banner("📘  SECTION 1: PSM — Community Medicine", PSM_DARK))
story.append(Spacer(1, 6))

# 1. Epidemiology
story.append(topic_box(
    "1. EPIDEMIOLOGY — Study Designs & Key Concepts",
    [
        "Case-Control: Odds Ratio (OR) = (a×d)/(b×c)  |  Retrospective, starts from disease",
        "Cohort: Relative Risk (RR) = (a/(a+b)) ÷ (c/(c+d))  |  Prospective, starts from exposure",
        "RCT: Gold standard for causation. Double-blind > single-blind",
        "Cross-sectional: Prevalence study. Snapshot. Cannot determine causality",
        "Ecological: Group-level data. Ecological fallacy risk",
        "Berkson's bias: hospital-based case-control. Neyman bias: prevalent vs incident cases",
        "Attributable Risk (AR) = Incidence in exposed − Incidence in unexposed",
        "PAR% = (Total incidence − Unexposed incidence) / Total incidence × 100",
        "Hill's criteria of causation: Strength, Consistency, Specificity, Temporality (MOST IMPORTANT), Biological gradient, Plausibility, Coherence, Experiment, Analogy",
        "Screening criteria (Wilson & Jungner): Important problem, natural history known, detectable early stage, accepted treatment, suitable test",
        "Validity: Sensitivity (TP/TP+FN), Specificity (TN/TN+FP), PPV, NPV",
        "Shifting cut-off → ↑Sensitivity = ↓Specificity. ROC curve: AUC = 1 is perfect",
    ],
    TOPIC_HEAD, PSM_LIGHT, PSM_DARK
))

# 2. Biostatistics
story.append(topic_box(
    "2. BIOSTATISTICS — Formulae & Tests",
    [
        "Mean: Σx/n  |  Median: middle value  |  Mode: most frequent",
        "SD: measures spread around mean  |  SE = SD/√n",
        "Normal distribution: Mean±1SD = 68.2%, ±2SD = 95.4%, ±3SD = 99.7%",
        "Null hypothesis (H₀): No difference. P<0.05 = reject H₀ (statistically significant)",
        "Type I error (α): Rejecting true H₀  |  Type II error (β): Accepting false H₀",
        "Power = 1−β. Increase by ↑ sample size",
        "t-test: Compare means of 2 groups (parametric)  |  ANOVA: >2 groups",
        "Chi-square (χ²): Compare proportions / categorical data (non-parametric)",
        "Mann-Whitney U: Non-parametric alternative to t-test",
        "Correlation (r): −1 to +1. Pearson (parametric), Spearman (non-parametric)",
        "Sampling methods: Simple random, Stratified, Systematic, Cluster, Multistage, Purposive",
        "Confidence Interval (95% CI): Mean ± 1.96 × SE",
        "NNT = 1/ARR  |  NNH = 1/ARI  |  ARR = CER − EER",
    ],
    TOPIC_HEAD, PSM_LIGHT, PSM_DARK
))

# 3. Communicable Diseases
story.append(topic_box(
    "3. COMMUNICABLE DISEASES & NATIONAL PROGRAMS",
    [
        "Herd immunity threshold = 1 − 1/R₀. Measles R₀≈15 → need 95% coverage",
        "IHR 2005: Public Health Emergency of International Concern (PHEIC). 4 diseases: Smallpox, Polio, SARS, New influenza subtype (mandatory notify) + cholera, plague, yellow fever",
        "Notifiable diseases in India: Cholera, Plague, Yellow Fever, Smallpox (eradicated), Polio",
        "RNTCP/NTEP: DOTS strategy. Cat I (new): 2HRZE/4HR. Cat II (retreatment): 2HRZES/HRZE/5HRE",
        "NVBDCP: Malaria (Plasmodium falciparum — severe), Dengue, Filaria, Kala-azar, JE",
        "Malaria: API (Annual Parasite Incidence) = Positive slides / population × 1000",
        "Dengue: NS1 antigen Day 1-5, IgM Day 5+. Tourniquet test +ve ≥10 petechiae/in²",
        "NACP (HIV/AIDS): ICTC, ART centres, PPTCT. CD4 <200 = AIDS defining",
        "Universal Immunization Programme (UIP): BCG (birth), OPV (0,6,10,14 wks + boosters), DPT, Hep B, IPV, Rota, PCV, MR, JE, DT, TT",
        "Pulse Polio: OPV 0, 6 weeks, 3 months, 18 months, 5 years",
        "Cold chain: +2°C to +8°C (vaccines). Freeze-sensitive: DPT, Hep B, TT (NOT in freezer)",
        "VVM (Vaccine Vial Monitor): Square inside circle. If square = circle or darker → discard",
    ],
    TOPIC_HEAD, PSM_LIGHT, PSM_DARK
))

# 4. MCH & Nutrition
story.append(two_col_table(
    data_left=[
        "MMR = Maternal deaths / Live births × 100,000",
        "IMR = Infant deaths (<1yr) / Live births × 100",
        "NMR = Neonatal deaths (<28d) / Live births × 100",
        "U5MR = Deaths <5yrs / Live births × 1000",
        "TFR = Total Fertility Rate (replacement = 2.1)",
        "GFR = Live births / Women 15-44 yrs × 1000",
        "RCH Program: ANC (min 4 visits), TT2 doses, IFA 100 tabs",
        "JSSK: Free delivery + 7 days stay. JSY: Cash incentive",
        "PMSMA: 9th of every month. High-risk ANC",
        "LSAS training for EmOC at CHC level",
    ],
    data_right=[
        "PEM: Kwashiorkor (protein ↓, edema, moon face) vs Marasmus (calories ↓, wasting)",
        "MUAC <11.5cm = SAM in children 6-59 months",
        "Vit A: Night blindness → Xerophthalmia → Keratomalacia. Bitot's spots (X1B)",
        "Vit A supplementation: 1 lakh IU at 9 months with measles vaccine",
        "Iron deficiency: Most common nutritional deficiency worldwide",
        "Iodine deficiency: Goitre, cretinism. Iodine in salt ≥15 ppm at consumption",
        "Vit D deficiency: Rickets (children), Osteomalacia (adults)",
        "ICDS: 6 services for 0-6 yrs, pregnant & lactating mothers",
        "Mid-Day Meal: School-going 6-14 yrs. 450 kcal, 12g protein (primary)",
        "Nutritional rehabilitation: F75 → F100 therapeutic feeds in SAM",
    ],
    head_l="4A. MCH & REPRODUCTIVE HEALTH", head_r="4B. NUTRITION",
    bg_l=PSM_LIGHT, bg_r=PSM_LIGHT, border_l=PSM_DARK, border_r=PSM_DARK
))

# 5. Environment & Demography
story.append(topic_box(
    "5. ENVIRONMENT, DEMOGRAPHY & HEALTH PLANNING",
    [
        "BOD (Biochemical Oxygen Demand): Indicator of organic pollution in water. Higher BOD = more pollution",
        "Drinking water standards: Coliform count = 0/100 mL (treated). E. coli = 0/100 mL",
        "Chlorination: Residual chlorine 0.5 mg/L after 1 hr contact. Break-point chlorination",
        "Air pollution: PM2.5 most harmful (penetrates alveoli). NAAQS standards",
        "Silicosis: Most disabling pneumoconiosis. Silica dust. Eggshell calcification on X-ray",
        "Noise: >85 dB(A) for 8 hrs → NIHL. Audiometry: 4000 Hz dip first",
        "Census 2011: Population 121 crore. Sex ratio 943/1000. Literacy 74%. Decadal growth 17.7%",
        "Demographic transition: India in Stage 3 (low birth + declining death rates)",
        "Health Planning: 12th FYP (2012-17) focus: Universal Health Coverage",
        "NHM (2013): NRHM + NUHM. District Health Action Plans. ASHA: 1 per 1000 population",
        "ASHA incentives: ₹600 for institutional delivery (JSY). ₹300 for ANC registration",
        "Levels of care: SC (5000 pop rural), PHC (30,000), CHC (120,000/FRU), DH",
        "IPHS norms: CHC must have O&G, Medicine, Surgery, Paediatrics (4 specialists)",
    ],
    TOPIC_HEAD, PSM_LIGHT, PSM_DARK
))

story.append(PageBreak())

# ════════════════════════════════════════════════════
# SECTION 2: FMT
# ════════════════════════════════════════════════════
story.append(section_banner("📕  SECTION 2: FMT — Forensic Medicine & Toxicology", FMT_DARK))
story.append(Spacer(1, 6))

# 1. Thanatology
story.append(topic_box(
    "1. THANATOLOGY — Signs & Changes After Death",
    [
        "Pallor mortis: Immediately after death — pallor due to capillary drainage",
        "Algor mortis: Body cools ~1°C/hr (Henssge nomogram). Influenced by environment, clothing, obesity",
        "Rigor mortis: ATP depletion → myosin-actin locking. Starts 2-6 hrs, complete 12 hrs, passes 48-72 hrs. Nysten's law: jaw → neck → trunk → limbs (descending order)",
        "Cadaveric spasm (instantaneous rigor): Sudden death under extreme emotion/exertion. No relaxation phase. Medico-legal: article found in hand = was held at time of death",
        "Heat stiffening: Coagulation of muscle proteins. External cause (fire). Pugilistic attitude",
        "Cold stiffening: Freezing of tissues. Disappears on rewarming (unlike rigor)",
        "Livor mortis (hypostasis): Starts 2-4 hrs, fixed 8-12 hrs. Bright red = CO poisoning / cold. Cherry red = CO. Pink/lavender = drowning",
        "Decomposition: Putrefaction (bacteria). Green discolouration iliac fossa first (caecum richest bacteria). Marbling: putrefaction of blood vessels. Adipocere = saponification (fatty tissue, moist). Mummification = desiccation (dry hot environment)",
        "Autopsy: Medicolegal (commissioned by magistrate) vs Clinical. PM report: description of injuries → opinion → cause of death",
        "Brain death: Irreversible cessation of all brain functions including brainstem. 2 doctors, 6 hr interval, Transplantation of Human Organs Act 1994",
    ],
    TOPIC_HEAD_FMT, FMT_LIGHT, FMT_DARK
))

# 2. Injuries
story.append(topic_box(
    "2. FORENSIC PATHOLOGY — Injuries & Wounds",
    [
        "Abrasion: Outermost layer skin only. Brush/graze/pressure. Indicates direction, site of impact",
        "Contusion (Bruise): Extravasation of blood. Age: 0-2 days (reddish) → 2-5 days (blue-black) → 5-7 days (greenish) → 7-14 days (yellowish) → disappears",
        "Laceration: Tearing of tissues by blunt force. Irregular edges, hair bulbs intact in wound, bridging strands",
        "Incised wound: Sharp weapon. Clean cut edges, no bridging. Deeper than long",
        "Stab wound: Pointed weapon. Depth > length. Hilt mark if full penetration",
        "Chop wound: Heavy sharp weapon (dao/axe). Features of incised + lacerated wound",
        "Defense injuries: Palms, forearms, hands — victim defending against attack",
        "Entry vs Exit (GSW): Entry — inverted, smaller, abrasion collar. Exit — everted, larger, no abrasion collar, irregular",
        "Contact GSW: Muzzle imprint, star-shaped laceration, blackening, tattooing, singeing (all in contact)",
        "Tattooing/Stippling: Unburnt gunpowder — cannot be wiped off. Within 60 cm range",
        "Blackening/Smudging: Soot — can be wiped off. Very close range",
        "Firearm wounds: Rifled > smooth bore. Bullet mushrooming on impact",
    ],
    TOPIC_HEAD_FMT, FMT_LIGHT, FMT_DARK
))

# 3. Asphyxia + Sexual
story.append(two_col_table(
    data_left=[
        "Classic signs: TBL (Tardieu spots/petechiae, Bloating/cyanosis, Liquidity of blood)",
        "Hanging: Semi-suspension possible. Ligature mark oblique, pale, parchment. Mugging = Throttling",
        "Strangulation (manual): Ligature mark horizontal, complete. Fracture hyoid/thyroid cartilage",
        "Throttling: Fingernail marks. Hyoid fracture common",
        "Drowning: Diatom test (gold standard). Frothy fluid in airways. Washerwoman hands",
        "Dry drowning: 10-15%. Laryngeal spasm → no water in lungs",
        "Café coronary: Bolus food → vagal inhibition → sudden death",
        "Smothering: Mouth/nose covered. Lacerations on inner lips",
        "CO poisoning: Cherry-red discolouration. COHb >50% lethal",
        "Traumatic asphyxia: Compression of chest/abdomen. Masque écchymotique",
    ],
    data_right=[
        "Age of consent (POCSO): 18 years",
        "Statutory rape: Consensual sex with girl <18 yrs = rape (IPC 376)",
        "Hymen types: Annular, Crescentic, Cribriform, Imperforate. NOT diagnostic of virginity",
        "Fresh hymenal tear: Before healing (within 72 hrs). Bleeds on touch",
        "Vaginal swab: Within 72-96 hrs ideally. Spermatozoa survive 72 hrs in vagina",
        "Two-finger test: ABOLISHED by SC 2022 (re-traumatizing, unreliable)",
        "Male rape (IPC 377): Unnatural offences. Now includes male victims",
        "POCSO 2012: Penetrative, aggravated, non-penetrative, sexual harassment of <18",
        "DNA profiling: STR analysis. Identifying sexual assault perpetrator",
        "Victim examination: Should be done with consent, female doctor preferable",
    ],
    head_l="3A. ASPHYXIAL DEATHS", head_r="3B. SEXUAL OFFENCES",
    bg_l=FMT_LIGHT, bg_r=FMT_LIGHT, border_l=FMT_DARK, border_r=FMT_DARK
))

# 4. Jurisprudence + IPC
story.append(topic_box(
    "4. MEDICAL JURISPRUDENCE & IPC SECTIONS",
    [
        "IPC 299: Culpable homicide (intention/knowledge but not murder degree)",
        "IPC 300: Murder (4 clauses — intention to cause death, grievous hurt sufficient, knowledge imminently dangerous)",
        "IPC 302: Punishment for murder — death or life imprisonment",
        "IPC 304: Culpable homicide not amounting to murder. 304A: Causing death by negligence (doctor cases)",
        "IPC 319: Hurt | IPC 320: Grievous hurt (8 types — emasculation, loss of eye/ear/limb, fracture, burn, permanent disfiguration, impairment of sense/mind)",
        "IPC 375/376: Rape/punishment for rape. IPC 376D: Gang rape",
        "IPC 312: Causing miscarriage (illegal abortion). IPC 313: Miscarriage without consent",
        "MTP Act 1971: Legal abortion up to 20 weeks (up to 24 weeks in special categories since 2021 amendment)",
        "CrPC 174: Police inquest. CrPC 176: Magistrate's inquest (unnatural deaths, custodial deaths)",
        "Consent: Informed, voluntary, competent. Age of consent for medical procedure = 12 yrs (general), 18 yrs (sterilization)",
        "Professional negligence: Duty, Dereliction, Direct causation, Damage (4 D's)",
        "Bolam's test: Standard of reasonable doctor. Bolitho modification (UK)",
        "Dying declaration: Statement by dying person. Recorded by magistrate > doctor. No oath needed. Section 32 Indian Evidence Act",
        "IMC Act 1956 / NMC Act 2020: Replaced MCI with NMC. Ethics, registration, punishment for misconduct",
    ],
    TOPIC_HEAD_FMT, FMT_LIGHT, FMT_DARK
))

# 5. Toxicology
story.append(topic_box(
    "5. FORENSIC TOXICOLOGY — Key Poisons",
    [
        "Corrosive poisons — Strong acids (H₂SO₄, HCl, HNO₃): Burns mouth, esophagus, stomach. H₂SO₄ = charring, HNO₃ = yellow staining (xanthoproteic), HCl = white staining",
        "Carbolic acid (Phenol): Characteristic smell, white staining → turns red. Anaesthetic effect on mucosa",
        "Strong alkalis (NaOH, KOH): Soapy, soft, whitish mucosa. 'Soap-like' appearance",
        "Metallic poisons — Arsenic: Garlic odour, Reinsch test +ve, Marsh test (gold standard). Rice water stools. Mees lines (nails)",
        "Mercury: Metallic taste, salivation, stomatitis. Acrodynia (pink disease in children). Minamata disease",
        "Lead: Anaemia, Burton's line (blue-black gum line), wrist/foot drop, encephalopathy. Basophilic stippling of RBC",
        "Copper: Wilson's disease (KF rings). Acute: green vomit, haemolysis",
        "Phosphorus (Yellow): Garlic odour, luminescent vomit in dark. Hepatic failure. Matchstick/firecracker poisoning",
        "Organophosphates (OP): Irreversible AChE inhibition. SLUDGE: Salivation, Lacrimation, Urination, Defecation, GI cramps, Emesis. Treatment: Atropine + PAM (pralidoxime)",
        "Dhatura (Atropine-like): ANTICHOLINERGIC — Dry as bone, Red as beet, Blind as bat, Mad as hatter, Hot as hare. Scopolamine = hyoscine (truth serum)",
        "Aconite: Most toxic part = root. Tingling numbness. Cardiac arrhythmias",
        "Cocaine: Erythroxylocon coca. Nasal septal perforation. Crack = freebase. Local anaesthetic + vasoconstrictor",
        "Alcohol: Widmark formula: BAC = A / (r × W). Legal limit driving = 30 mg/100 mL blood (India)",
        "Cyanide: Bitter almond smell. Brick red lividity. Treatment: Amyl nitrite + Na thiosulfate",
    ],
    TOPIC_HEAD_FMT, FMT_LIGHT, FMT_DARK
))

# 6. Identification
story.append(topic_box(
    "6. FORENSIC IDENTIFICATION & SEROLOGY",
    [
        "Sex determination: Pelvis most reliable. Sciatic notch >90° = female. Sub-pubic angle female (>80°) vs male (<70°)",
        "Age from teeth: Eruption times. Gustafson's method (6 features: attrition, secondary dentin, cementum, root resorption, transparency, root length). Lamendin method",
        "Age from bone: Epiphyseal fusion. Medial clavicle last to fuse = 25-31 years",
        "Stature: Pearson's formula. Height = 2 × knee height − 0.1 (quick estimate)",
        "Dactylography (fingerprints): Henry system (8 types: arch, tented arch, radial/ulnar loop, whorl, composite, central pocket, lateral pocket, twin loop)",
        "Superimposition (skull-face): Reconstruction technique",
        "ABO blood group system: Forensic — victim/accused identification. Secretors (78%) have ABO antigens in secretions (saliva, semen, urine)",
        "DNA fingerprinting: RFLP (old) → STR (current). Mitochondrial DNA from hair shaft (no nucleus)",
        "Bite mark analysis: Odontology. Compared with dental casts. US v Castro — DNA admissibility",
        "GSR (Gunshot Residue): Pb, Ba, Sb. SEM-EDX analysis. Within 6 hrs of firing",
    ],
    TOPIC_HEAD_FMT, FMT_LIGHT, FMT_DARK
))

story.append(Spacer(1, 8))
story.append(HRFlowable(width="100%", thickness=1.5, color=GOLD))
story.append(Spacer(1, 6))

# ── QUICK REFERENCE BOX ────────────────────────────────────────
qr_data = [
    [Paragraph("<b>PSM QUICK NUMBERS</b>", style("QRH", fontName="Helvetica-Bold", fontSize=9, textColor=PSM_DARK)),
     Paragraph("<b>FMT QUICK NUMBERS</b>", style("QRH2", fontName="Helvetica-Bold", fontSize=9, textColor=FMT_DARK))],
    [
        Paragraph(
            "• India Population (2011): 121 crore<br/>"
            "• Sex ratio: 943 females/1000 males<br/>"
            "• Literacy: 74% (Male 82%, Female 65%)<br/>"
            "• IMR (2020): ~27/1000 live births<br/>"
            "• MMR (2018-20): 97/100,000 live births<br/>"
            "• TFR (2020): 2.0 (at replacement)<br/>"
            "• Life expectancy: 69.7 yrs (M:68, F:71)<br/>"
            "• ASHA ratio: 1 per 1000 rural population<br/>"
            "• Sub-centre: 5000 rural / 3000 tribal pop<br/>"
            "• PHC: 30,000 rural / 20,000 tribal pop<br/>"
            "• CHC: 1,20,000 pop / 30 bed hospital",
            BODY),
        Paragraph(
            "• Rigor mortis onset: 2-6 hrs, complete: 12 hrs<br/>"
            "• Rigor mortis passes: 48-72 hrs<br/>"
            "• Livor mortis fixed: 8-12 hrs after death<br/>"
            "• Algor mortis: ~1°C/hr cooling<br/>"
            "• Sperm viability vagina: up to 72 hrs<br/>"
            "• Blood alcohol legal limit: 30 mg/100 mL<br/>"
            "• Age of consent (POCSO): 18 years<br/>"
            "• MTP Act legal limit: 20 weeks (24 wks special)<br/>"
            "• Minimum age for medical consent: 12 yrs<br/>"
            "• CrPC 174 = Police inquest<br/>"
            "• CrPC 176 = Magistrate inquest",
            BODY),
    ]
]
qr_tbl = Table(qr_data, colWidths=[(W - 3.6*cm)/2, (W - 3.6*cm)/2])
qr_tbl.setStyle(TableStyle([
    ("BACKGROUND", (0,0), (0,0), PSM_LIGHT),
    ("BACKGROUND", (1,0), (1,0), FMT_LIGHT),
    ("BACKGROUND", (0,1), (0,1), GREY_BG),
    ("BACKGROUND", (1,1), (1,1), GREY_BG),
    ("TOPPADDING", (0,0), (-1,-1), 5),
    ("BOTTOMPADDING", (0,0), (-1,-1), 5),
    ("LEFTPADDING", (0,0), (-1,-1), 8),
    ("BOX", (0,0), (0,-1), 1, PSM_DARK),
    ("BOX", (1,0), (1,-1), 1, FMT_DARK),
    ("VALIGN", (0,0), (-1,-1), "TOP"),
]))
story.append(KeepTogether([
    Paragraph("⚡  QUICK REFERENCE NUMBERS", style("QRT", fontName="Helvetica-Bold", fontSize=11,
              textColor=colors.HexColor("#333333"), spaceBefore=4, spaceAfter=4)),
    qr_tbl
]))

story.append(Spacer(1, 10))
story.append(Paragraph(
    "Prepared for 3rd Prof MBBS University Examination — August 2026. Study hard, stay consistent. Good luck! 🎯",
    style("FinalNote", fontName="Helvetica-Oblique", fontSize=8,
          textColor=colors.grey, alignment=TA_CENTER)
))

# ── BUILD ─────────────────────────────────────────────────────────
doc.build(story, onFirstPage=add_footer, onLaterPages=add_footer)
print(f"PDF created: {OUTPUT}")

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

OUTPUT = "/home/daytona/workspace/mbbs-study/HighYield_PSM_FMT_v2.pdf"

W, H = A4

PSM_DARK   = colors.HexColor("#1a5276")
PSM_LIGHT  = colors.HexColor("#d6eaf8")
FMT_DARK   = colors.HexColor("#7b241c")
FMT_LIGHT  = colors.HexColor("#fadbd8")
GOLD       = colors.HexColor("#f0b000")
GREY_BG    = colors.HexColor("#f4f6f7")
ORANGE_D   = colors.HexColor("#784212")
ORANGE_L   = colors.HexColor("#fdebd0")
GREEN_D    = colors.HexColor("#1e8449")
GREEN_L    = colors.HexColor("#d5f5e3")
WHITE      = colors.white

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

TITLE   = S("T", fontName="Helvetica-Bold",   fontSize=20, textColor=WHITE,    alignment=TA_CENTER, spaceAfter=3)
SUB     = S("S", fontName="Helvetica",         fontSize=10, textColor=WHITE,    alignment=TA_CENTER, spaceAfter=2)
DATST   = S("D", fontName="Helvetica-Oblique", fontSize=8,  textColor=GOLD,     alignment=TA_CENTER)
SHEAD   = S("SH",fontName="Helvetica-Bold",    fontSize=12, textColor=WHITE,    alignment=TA_LEFT,   leftIndent=6)
THEAD   = S("TH",fontName="Helvetica-Bold",    fontSize=9,  textColor=PSM_DARK, spaceBefore=4)
THEAD_F = S("TF",fontName="Helvetica-Bold",    fontSize=9,  textColor=FMT_DARK, spaceBefore=4)
THEAD_O = S("TO",fontName="Helvetica-Bold",    fontSize=9,  textColor=ORANGE_D, spaceBefore=4)
THEAD_G = S("TG",fontName="Helvetica-Bold",    fontSize=9,  textColor=GREEN_D,  spaceBefore=4)
BODY    = S("B", fontName="Helvetica",         fontSize=8,  leading=12, spaceAfter=1, leftIndent=8)
BODYB   = S("BB",fontName="Helvetica-Bold",    fontSize=8,  leading=12, spaceAfter=1, leftIndent=8)
IMPNOTE = S("IN",fontName="Helvetica-Bold",    fontSize=7.5,textColor=colors.HexColor("#c0392b"), leftIndent=8)
FNOTE   = S("FN",fontName="Helvetica-Oblique", fontSize=6.5,textColor=colors.grey, alignment=TA_CENTER)

CW = W - 3.6*cm   # usable content width

def footer(canvas, doc):
    canvas.saveState()
    canvas.setFont("Helvetica-Oblique", 6.5)
    canvas.setFillColor(colors.grey)
    canvas.drawCentredString(W/2, 1.0*cm,
        f"High-Yield PSM & FMT  |  3rd Prof MBBS  |  Exam: August 3, 2026  |  Page {doc.page}")
    canvas.restoreState()

def banner(text, color):
    t = Table([[Paragraph(text, SHEAD)]], colWidths=[CW])
    t.setStyle(TableStyle([
        ("BACKGROUND",(0,0),(-1,-1),color),
        ("TOPPADDING",(0,0),(-1,-1),5),("BOTTOMPADDING",(0,0),(-1,-1),5),
        ("LEFTPADDING",(0,0),(-1,-1),8),
    ]))
    return t

def box(title, items, hstyle, bg, border, star_items=None):
    """Titled bullet box. star_items = list of indices that are exam-starred."""
    star_items = star_items or []
    hdr = Table([[Paragraph(title, hstyle)]], colWidths=[CW])
    hdr.setStyle(TableStyle([
        ("BACKGROUND",(0,0),(-1,-1),bg),
        ("TOPPADDING",(0,0),(-1,-1),3),("BOTTOMPADDING",(0,0),(-1,-1),3),
        ("LEFTPADDING",(0,0),(-1,-1),8),
        ("LINEBELOW",(0,0),(-1,-1),0.5,border),
    ]))
    rows = []
    for i, item in enumerate(items):
        style = IMPNOTE if i in star_items else BODY
        bullet = "★ " if i in star_items else "• "
        rows.append([Paragraph(f"{bullet}{item}", style)])
    bdy = Table(rows, colWidths=[CW])
    bdy.setStyle(TableStyle([
        ("BACKGROUND",(0,0),(-1,-1),GREY_BG),
        ("TOPPADDING",(0,0),(-1,-1),2),("BOTTOMPADDING",(0,0),(-1,-1),2),
        ("LEFTPADDING",(0,0),(-1,-1),8),
        ("LINEAFTER",(0,0),(0,-1),1.5,border),
    ]))
    return KeepTogether([hdr, bdy, Spacer(1,4)])

def two_col(left_title, left_items, right_title, right_items,
            lhs, lhbg, lhbc, rhs, rhbg, rhbc,
            l_stars=None, r_stars=None):
    l_stars = l_stars or []
    r_stars = r_stars or []
    col = CW / 2 - 3

    def build(title, items, hs, bg, bc, stars):
        hrow = [Paragraph(title, hs)]
        rows = [hrow]
        for i, item in enumerate(items):
            st = IMPNOTE if i in stars else BODY
            bullet = "★ " if i in stars else "• "
            rows.append([Paragraph(f"{bullet}{item}", st)])
        t = Table(rows, colWidths=[col])
        t.setStyle(TableStyle([
            ("BACKGROUND",(0,0),(0,0),bg),
            ("BACKGROUND",(0,1),(-1,-1),GREY_BG),
            ("TOPPADDING",(0,0),(-1,-1),2),("BOTTOMPADDING",(0,0),(-1,-1),2),
            ("LEFTPADDING",(0,0),(-1,-1),6),
            ("LINEAFTER",(0,0),(0,-1),1.5,bc),
            ("LINEBELOW",(0,0),(0,0),0.5,bc),
        ]))
        return t

    L = build(left_title, left_items, lhs, lhbg, lhbc, l_stars)
    R = build(right_title, right_items, rhs, rhbg, rhbc, r_stars)
    outer = Table([[L, R]], colWidths=[col+3, col+3])
    outer.setStyle(TableStyle([
        ("VALIGN",(0,0),(-1,-1),"TOP"),
        ("LEFTPADDING",(0,0),(-1,-1),0),
        ("RIGHTPADDING",(0,0),(-1,-1),0),
    ]))
    return KeepTogether([outer, Spacer(1,5)])

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

doc = SimpleDocTemplate(OUTPUT, pagesize=A4,
    rightMargin=1.8*cm, leftMargin=1.8*cm,
    topMargin=1.8*cm, bottomMargin=1.8*cm)

# COVER
cover = Table([[
    Paragraph("HIGH-YIELD SUMMARY  +  EXAM TOPIC LIST", TITLE),
    Paragraph("PSM (Community Medicine)  &  FMT (Forensic Medicine)", SUB),
    Paragraph("3rd Prof MBBS  |  Exam: August 3, 2026  |  ★ = Your Exam Important Topics", DATST),
]], colWidths=[CW])
cover.setStyle(TableStyle([
    ("BACKGROUND",(0,0),(-1,-1),PSM_DARK),
    ("TOPPADDING",(0,0),(-1,-1),12),("BOTTOMPADDING",(0,0),(-1,-1),12),
    ("LEFTPADDING",(0,0),(-1,-1),10),
]))
story += [cover, Spacer(1,8), HRFlowable(width="100%",thickness=2,color=GOLD), Spacer(1,6)]

# ══════════════════════════════════════════════════════
# PSM SECTION
# ══════════════════════════════════════════════════════
story.append(banner("📘  SECTION 1: PSM — Community Medicine", PSM_DARK))
story.append(Spacer(1,5))

# 1. Health & Disease / Epidemiology Fundamentals
story.append(box(
    "1. HEALTH, DISEASE & EPIDEMIOLOGY FUNDAMENTALS",
    [
        "Define Health (WHO 1948) — complete physical, mental, social well-being, not merely absence of disease",
        "PQLI (Physical Quality of Life Index) = Infant mortality + Life expectancy at age 1 + Basic literacy (avg of 3)",
        "Health indicators: MMR, IMR, U5MR, TFR, life expectancy, PQLI, HDI",
        "Spectrum of disease / Iceberg phenomenon — tip = clinical cases, submerged = subclinical + carriers",
        "Levels of prevention: Primordial (before risk factors), Primary (↓ incidence), Secondary (↓ prevalence), Tertiary (↓ disability)",
        "Modes of intervention: Health promotion, Specific protection, Early diagnosis & treatment, Disability limitation, Rehabilitation",
        "Epidemiological triad: Agent + Host + Environment. Web of causation (MacMahon)",
        "Natural history of disease: Susceptible → Presymptomatic → Clinical → Outcome",
        "SDG Goal 3: Good Health & Well-being by 2030. MDG Goal 4,5,6 = child mortality, maternal health, diseases",
        "Define Epidemiology (Last's dictionary): 'study of distribution and determinants of health-related states'",
        "Aims of epidemiology: Describe, explain, predict, control",
        "Descriptive epidemiology: Person, Place, Time",
        "Epidemic curve: helps identify source (point vs propagated)",
        "Case-control study: OR = (a×d)/(b×c). Retrospective, starts from disease. Berkson's bias",
        "Cohort study: RR = (a/(a+b)) / (c/(c+d)). Prospective. Neyman bias",
        "RCT: Gold standard for causation. Steps: PICO, randomization, blinding, ITT analysis",
        "Diff b/w case-control & cohort: direction, time, measure of association (OR vs RR)",
        "Mortality indicators: CDR, ASDR, SMR, IMR, MMR, NMR, PMR",
        "Quarantine (well contacts) vs Isolation (sick persons)",
        "Herd immunity threshold = 1 − 1/R₀",
        "Epidemic investigation: steps — confirm, describe (time/place/person), hypothesize, test, control",
        "Common source vs propagated epidemic",
    ],
    THEAD, PSM_LIGHT, PSM_DARK,
    star_items=[4, 5, 13, 14, 15, 19, 20]
))

# 2. Screening + Biostatistics
story.append(box(
    "2. SCREENING & BIOSTATISTICS",
    [
        "Define screening. Wilson & Jungner criteria (10 points). Types: mass, selective, multiphasic",
        "Screening vs Diagnostic test: screening = suspect, diagnostic = confirm",
        "Lead time bias: screening appears to increase survival without changing natural history",
        "Sensitivity = TP/(TP+FN) — ability to detect true positives (rule OUT disease)",
        "Specificity = TN/(TN+FP) — ability to detect true negatives (rule IN disease)",
        "PPV = TP/(TP+FP). NPV = TN/(TN+FN). Affected by prevalence",
        "Shifting cut-off: ↑sensitivity = ↓specificity (inverse relationship). ROC curve: AUC=1 = perfect",
        "Sampling methods: Simple random, Stratified, Systematic (every kth), Cluster, Multistage, Purposive",
        "Diff b/w stratified & simple random sampling",
        "Normal distribution: Mean±1SD=68.2%, ±2SD=95.4%, ±3SD=99.7%",
        "Standard deviation: spread around mean. SE = SD/√n. 95% CI = Mean ± 1.96×SE",
        "Types of errors: Type I (α) = reject true H₀; Type II (β) = accept false H₀. Power = 1-β",
        "Null hypothesis (H₀): no difference. P<0.05 → statistically significant",
        "t-test (compare 2 means), ANOVA (>2 groups), Chi-square (proportions/categorical)",
        "Pearson correlation (parametric, r), Spearman (non-parametric)",
        "NNT = 1/ARR  |  NNH = 1/ARI  |  ARR = CER − EER",
        "Bar diagram, Pie chart, Histogram, Frequency polygon",
        "Measures of central tendency: Mean, Median, Mode. Mean deviation, Range",
    ],
    THEAD, PSM_LIGHT, PSM_DARK,
    star_items=[0, 3, 4, 7, 9, 11, 13]
))

# 3. Communicable Diseases
story.append(box(
    "3. COMMUNICABLE DISEASES & IMMUNIZATION",
    [
        "ARI (Acute Respiratory Infections): Leading cause of child death. Pneumonia — tachypnoea, indrawing. IMNCI classification",
        "Rabies: Negri bodies (pathognomonic). 100% fatal once symptomatic. PEP: wound wash + vaccine ± RIG",
        "Dengue: NS1 Day 1-5, IgM Day 5+. Tourniquet test ≥10 petechiae. DHF grades I-IV. Warning signs",
        "Malaria: API = positive slides/population×1000. SPR, ABER. P.falciparum → severe malaria",
        "Malaria control under NVBDCP: DDT spray, LLIN, ACT for Pf, chloroquine for Pv",
        "Syndromic approach in STD control: treat before lab results (flowchart-based)",
        "Epidemiology of acute diarrhoeal disease: ORS = 75 mEq/L (new formula). Zinc supplementation",
        "Types of food poisoning: Staph (1-6 hrs, vomiting), Salmonella (6-72 hrs, eggs), Clostridium botulinum (neurotoxin, canned food), Bacillus cereus",
        "IPV vs OPV: IPV — injectable, killed, no VAPP, better seroconversion. OPV — oral, live, herd immunity, VAPP risk",
        "Smallpox vs chickenpox: Smallpox (all same stage, centrifugal, deep). Chickenpox (mixed stages, centripetal, superficial)",
        "Hepatitis B: HBsAg = infective. Anti-HBs = immune. HBeAg = active replication",
        "TB/RNTCP-NTEP: DOTS. New regimen: 2HRZE/4HR. Drug-resistant TB: MDR = R+H resistant",
        "Leprosy: PB (1-5 patches, 1 nerve) = 6 months. MB (>5 patches, >1 nerve) = 12 months",
        "Cold chain: +2°C to +8°C. Freeze-sensitive: DPT, Hep-B, TT. OPV: −20°C. VVM: discard if square ≥ circle",
        "Adverse events following immunization (AEFI): mild local (common) → anaphylaxis (rare)",
        "UIP schedule: BCG (birth), OPV+DPT+HepB+IPV (6,10,14 wks), Rota, PCV, MR (9 mths), booster (16-24 mths)",
        "JE vaccine: in endemic areas. Live attenuated SA 14-14-2 strain",
        "Diff b/w killed & live vaccine: killed = safer, less immunogenic; live = better immunity, VAPP risk",
        "Polio endgame: OPV to IPV switch. Wild poliovirus eradicated (last case India 2011)",
    ],
    THEAD, PSM_LIGHT, PSM_DARK,
    star_items=[0, 1, 2, 3, 6, 8, 11, 13]
))

# 4. Non-Communicable Diseases
story.append(box(
    "4. NON-COMMUNICABLE DISEASES (NCDs)",
    [
        "Rule of Halves in Hypertension: ½ know → ½ treated → ½ controlled (so only 1/8 controlled)",
        "HTN risk factors: salt, obesity, alcohol, stress, family history. Prevention: DASH diet, weight loss",
        "WHO BMI classification: Underweight <18.5, Normal 18.5-24.9, Overweight 25-29.9, Obese ≥30. Asian cutoff: ≥23",
        "Epidemiology of Diabetes: Type 2 increasing globally. Risk: obesity, inactivity, family history. Criteria: FBG ≥126, RBG ≥200, HbA1c ≥6.5%",
        "Danger signs of cancer (CAUTION mnemonic): Change in bowel/bladder, A sore not healing, Unusual bleeding, Thickening or lump, Indigestion, Obvious nasal/oral changes, Nagging cough",
        "Screening for cervical cancer: Pap smear (3-yearly), HPV DNA test, VIA/VILI (low-resource)",
        "Cancer prevention: tobacco control (IPC 46A), HPV vaccine (girls 9-14 yrs), hepatitis B vaccine",
        "Epidemiology of road traffic accidents: leading cause of death 15-29 yr age group",
    ],
    THEAD, PSM_LIGHT, PSM_DARK,
    star_items=[0, 3, 4]
))

# 5. MCH + Nutrition (two col)
story.append(two_col(
    "5A. MCH, FAMILY PLANNING & PROGRAMMES",
    [
        "★ ANC visits: min 4 (WHO now recommends 8). PMSMA: 9th of every month",
        "★ High-risk pregnancy: age <18 or >35, grand multi, <45 kg, Hb<7, H/O bad obstetric",
        "★ APGAR score: 0-10. <7 at 1 min = needs attention, <4 = resuscitation",
        "Kangaroo Mother Care (KMC): skin-to-skin for LBW (<2500g). Reduces mortality by 40%",
        "Baby-Friendly Hospital Initiative (BFHI): 10 steps. Encourage breastfeeding",
        "Growth chart: Z-scores. Stunting (<-2 SD height-for-age), Wasting (<-2 SD weight-for-height)",
        "Indicators of MCH: IMR, NMR, MMR, U5MR, stillbirth rate",
        "MMR India (2018-20): 97/100,000 LB (Target SDG: <70 by 2030)",
        "★ RMNCH+A strategy: Reproductive, Maternal, Newborn, Child, Adolescent health (linked lifecycle)",
        "★ IMNCI: integrated management. Classify: danger signs → refer. No danger → assess feeding, wt",
        "Demographic cycle: 4 stages. India in Stage 3 (declining birth + death rates)",
        "TFR India: 2.0 (2020). Replacement TFR = 2.1",
        "★ Contraceptive methods: Barrier (condom, diaphragm), Hormonal (OCP, injectables, implants), IUCD, Sterilization, Emergency (emergency OCP within 72h)",
        "★ 3rd generation OCP (desogestrel) vs 2nd (levonorgestrel). Emergency: Levonorgestrel 1.5mg",
        "MTP Act 1971 (amended 2021): up to 20 wks (single provider), up to 24 wks (special categories)",
        "Pearl index: failure rate per 100 woman-years. Lower = more effective",
        "Juvenile delinquency: <18 yrs, criminal behaviour. JJ Act 2015",
        "PCPNDT Act 1994: prohibit sex determination. Penalties",
    ],
    "5B. NUTRITION",
    [
        "★ PEM: Kwashiorkor (protein ↓, edema, moon face, dermatosis) vs Marasmus (calorie ↓, severe wasting, no edema)",
        "★ Classify malnutrition: Gomez (weight-for-age), Waterlow (stunting + wasting), IAP, WHO Z-score",
        "★ MUAC <11.5 cm = SAM (6-59 months). 11.5-12.5 = MAM",
        "ICDS: 6 services — supplementary nutrition, immunization, health check-up, referral, pre-school education, nutrition & health education",
        "★ Vit A: Night blindness (XN) → Bitot's spots (X1B) → Xerophthalmia → Keratomalacia (X3B). Supplement: 1L IU at 9 months + measles vaccine",
        "Iron deficiency: most common nutritional deficiency. Hb <11 g/dL in children. IFA weekly in school children",
        "Iodine deficiency: goitre, cretinism. Iodized salt ≥15 ppm at household level",
        "Vit D: rickets (children), osteomalacia (adults). Vit C: scurvy (bleeding gums, perifollicular). Vit B12: megaloblastic anaemia, subacute combined degeneration",
        "Balanced diet: energy from carbs 60%, fat 20%, protein 10-15%. Protein requirement: 0.8g/kg/day",
        "Net Protein Utilization (NPU): egg = 100 (reference). Soybean NPU = 65",
        "Nutritional surveillance: methods — sentinel surveillance, dietary survey, anthropometric survey",
        "Diff b/w growth monitoring & nutritional surveillance",
        "Community nutrition programmes: ICDS, Mid-day meal (450 kcal/12g protein), SNP",
        "Vit A prophylaxis: schedule — 1L IU at 9 mths, 2L IU at 18 mths, then 6-monthly till 5 yrs",
        "Prevention iron deficiency anaemia: IFA supplementation, fortification, dietary diversification",
        "Pasteurisation of milk: HTST (72°C/15 sec) or LTLT (63°C/30 min)",
    ],
    THEAD, PSM_LIGHT, PSM_DARK,
    THEAD, PSM_LIGHT, PSM_DARK,
    l_stars=[0,1,2,8,12,13], r_stars=[0,1,2,4,5]
))

# 6. Environment
story.append(box(
    "6. ENVIRONMENT, WATER & WASTE",
    [
        "Waterborne diseases: cholera, typhoid, hepatitis A/E, polio, dysentery, dracunculiasis",
        "Water purification (large scale): Sedimentation → Coagulation (alum) → Filtration (slow/rapid sand) → Disinfection (chlorination)",
        "Diff b/w slow sand filter & rapid sand filter: slow = 0.1-0.4 m/hr, biological (schmutzdecke); rapid = 5-15 m/hr, physical+chemical",
        "Residual chlorine: 0.5 mg/L after 1 hr. Break-point chlorination: removes all organic matter + ammonia",
        "Disinfection of well: permanganate, bleaching powder, chlorination",
        "Hardness of water: temporary (carbonate) vs permanent (sulphate). Not health hazard directly",
        "BOD (Biochemical Oxygen Demand): indicator of organic pollution. Higher BOD = more polluted",
        "Oxidation pond: natural, sunlight, algae-bacteria symbiosis. Low-cost sewage treatment",
        "BMW (Biomedical Waste) Management Rules 2016: colour coding — yellow (incineration/deep burial), red (autoclave), white (sharps/puncture-proof), blue (glassware)",
        "Inertization: mix waste with cement before landfill (heavy metals)",
        "Overcrowding: >1.5 persons/room (NHRC). Promotes TB, ARI, meningitis",
        "Types of ventilation: natural (windows, louvres), artificial (fans, AC). Cross-ventilation ideal",
        "Green house gases: CO₂, CH₄, N₂O, CFCs. Global warming",
        "Breeding habits: Anopheles (clean, stagnant, edge vegetation), Culex (polluted water, overhead tanks), Aedes (clean collected water — tyres, coolers)",
        "Aedes diseases: Dengue, Chikungunya, Zika, Yellow fever",
        "Mosquito control: biological (Gambusia fish, Bacillus thuringiensis), chemical (DDT, pyrethrin), source reduction",
    ],
    THEAD, PSM_LIGHT, PSM_DARK,
    star_items=[2, 3, 8, 13]
))

# 7. Occupational + Disaster + Miscellaneous
story.append(box(
    "7. OCCUPATIONAL HEALTH, DISASTER, SOCIAL MEDICINE",
    [
        "Ergonomics: fitting the job to the worker. Musculoskeletal disorders from poor ergonomics",
        "Pneumoconiosis: Silicosis (silica — eggshell calcification, nodular), Asbestosis (pleural plaques, mesothelioma), Coal workers' (progressive massive fibrosis), Byssinosis (cotton dust — Monday fever)",
        "ESI Act 1948: medical benefit, sickness benefit, maternity benefit, disablement benefit. Factory Act 1948: hours, safety, welfare",
        "Occupational cancer: scrotal (chimney sweeps, 1st occupational cancer — Pott's disease), bladder (aniline dyes, β-naphthylamine), lung (asbestos, radon, arsenic)",
        "Noise-induced hearing loss (NIHL): >85 dB(A) for 8 hrs. 4000 Hz notch on audiometry",
        "Triage: START method. Red (immediate), Yellow (delayed), Green (minor), Black (expectant/dead)",
        "Disaster preparedness: plan → mitigation → response → recovery (4 phases)",
        "Types of family: nuclear, joint, extended, single parent, blended. Family cycle stages",
        "IQ formula: IQ = Mental age / Chronological age × 100. Normal 90-110",
        "Socialization: learning social norms. Acculturation: cultural change due to contact",
        "Doctor-patient relationship: Szasz-Hollander model (activity-passivity, guidance-cooperation, mutual participation)",
        "Genetic counseling: risk assessment, non-directive approach. Hardy-Weinberg principle: p²+2pq+q²=1",
        "Turner's syndrome (45X0): webbed neck, primary amenorrhoea, short stature — NO Barr body",
        "Klinefelter's (47XXY): tall, gynecomastia, azoospermia, Barr body +ve",
        "Diff b/w Eugenics (genetic quality improvement) & Euthenics (improving environment)",
        "Warning signs of mental health: irritability, sleep disturbance, poor concentration, withdrawal",
        "Barriers of communication: language, cultural, physical, psychological, semantic",
        "Health education: IEC (Inform, Educate, Communicate) vs BCC (Behaviour Change Communication)",
        "Planning cycle: situation analysis → priority setting → objectives → strategies → implementation → evaluation",
        "PERT & CPM: project management tools. Critical path = longest path",
        "WHO functions: normative, technical cooperation, governance. HQ Geneva",
        "UNICEF GOBI: Growth monitoring, ORT, Breastfeeding, Immunization",
        "World Health Day 2025 theme: 'My health, my right'",
        "Vision 2020 / Ayushman Bharat / PM-JAY / NHM: key schemes",
    ],
    THEAD, PSM_LIGHT, PSM_DARK,
    star_items=[0,1,2,5,8,19,21]
))

story.append(PageBreak())

# ══════════════════════════════════════════════════════
# FMT SECTION
# ══════════════════════════════════════════════════════
story.append(banner("📕  SECTION 2: FMT — Forensic Medicine & Toxicology", FMT_DARK))
story.append(Spacer(1,5))

# 1. Legal Procedure + Inquest
story.append(box(
    "1. LEGAL PROCEDURE & INQUEST",
    [
        "★ Inquest: official inquiry into sudden/unnatural death. Types: Police (CrPC 174), Magistrate (CrPC 176), Coroner's (not in India now), Jury inquest (UK)",
        "★ Diff b/w Police & Magistrate inquest: Police = all unnatural deaths; Magistrate = custodial death, rape + death, exhumation, unidentified bodies",
        "Summon/Subpoena: court order to appear. Failure = contempt of court",
        "★ Perjury: giving false evidence under oath. IPC 193 — 7 yrs imprisonment",
        "Dying declaration: Section 32 IEA. No oath needed. Magistrate preferred. All circumstances of transaction",
        "★ Cross-examination: questioning witness by opposite party to discredit testimony",
        "Criminal amendment act 2018: death penalty for rape of <12 yrs. POCSO strengthened",
        "Section 375 IPC: Rape — 7 clauses. Without consent, with false promise, <18 yrs, mental incapacity",
        "Doctor as a witness: expert witness (opinion), ordinary witness (facts). Professional secrecy limitations",
        "Exhumation: digging up buried body for PM examination. Magistrate's order needed",
        "Virtopsy: virtual autopsy using CT/MRI. Non-invasive. Especially for religious objections",
    ],
    THEAD_F, FMT_LIGHT, FMT_DARK,
    star_items=[0,1,3,5]
))

# 2. Death & PM Changes
story.append(box(
    "2. DEATH & POST-MORTEM CHANGES",
    [
        "★ Rule of 12 (Thanatology): Rigor mortis starts 2-6 hrs (avg starts ~4 hrs). 12 hrs = fully developed. 24 hrs = starts passing. 48 hrs = gone. Also: lividity fixed 12 hrs",
        "Manner of Death: Natural, Accidental, Suicidal, Homicidal (NASH)",
        "Suspended animation: apparent death — no detectable vital signs. Seen in: drowning, electrocution, CO poisoning, newborn. Medicolegal importance",
        "★ Rigor mortis: ATP depletion → actin-myosin locking. Nysten's law = jaw → neck → trunk → limbs. Cadaveric spasm = instantaneous rigor (article found in hand). Heat stiffening ≠ rigor (different mechanism)",
        "★ Hypostasis (Livor mortis): starts 2-4 hrs, fixed 8-12 hrs. Distribution: dependent parts. MLI: position of body, time, possibility of ante/post-mortem injury",
        "★ Adipocere: saponification of fats in moist conditions. Months to develop. MLI: preserves body features, helps identify position",
        "★ Decomposition: putrefaction (bacteria). Green iliac fossa first (caecum). Marbling = putrefaction blood vessels. Stages: fresh → bloat → active → advanced → skeletonization",
        "Mummification: dry hot environment. Desiccation. Preserves external features",
        "Tache noire: post-mortem artifact — drying of sclera (blackish brown band) when eyelids open",
        "Changes seen after birth vs stillbirth: air in lungs (hydrostatic test), separate placenta/cord",
        "Algor mortis: ~1°C/hr cooling (Henssge nomogram). Affected by environment, clothing, obesity, body size",
    ],
    THEAD_F, FMT_LIGHT, FMT_DARK,
    star_items=[0,3,4,5,6]
))

# 3. Autopsy
story.append(box(
    "3. AUTOPSY (POST-MORTEM EXAMINATION)",
    [
        "Types: Medicolegal (commissioned by court/magistrate) vs Clinical (hospital). Forensic PM = external + internal examination",
        "Types of incisions: I-shaped (thorax), Y-shaped (thorax+abdomen), H-shaped (special). Brain: coronal incision",
        "Organ removal methods: Virchow (organ by organ), Rokitansky (in situ), Ghon (en bloc), Letulle (all at once)",
        "★ Viscera preserved for chemical analysis: stomach + contents, 1 ft of intestine, 1/3 of liver, 1 kidney, urine, blood, CSF. Preservative: saturated NaCl (NOT formalin for chemical)",
        "★ Exhumation: order from Executive Magistrate. Presence of doctor, police, witnesses. PM done as if fresh body",
        "★ Objectives of ML autopsy: cause of death, manner of death, time of death, identity, injuries, collect evidence",
        "Negative autopsy: no cause found after full PM + histology + toxicology (e.g., cardiac arrhythmia, epilepsy)",
        "Virtopsy: CT + MRI + angiography. Useful when family refuses conventional autopsy",
    ],
    THEAD_F, FMT_LIGHT, FMT_DARK,
    star_items=[3,4,5]
))

# 4. Mechanical Asphyxia + Drowning
story.append(box(
    "4. MECHANICAL ASPHYXIA",
    [
        "Classic signs: TBL — Tardieu spots (petechiae under serosal surfaces), Bloating/cyanosis (face, lips), Liquidity of blood (prolonged hypoxia → heparin-like substances)",
        "★ Hanging: classify — judicial (drop), suicidal (suspension). Ligature mark: oblique, incomplete, parchment. Cause of death: asphyxia (most common), venous congestion, reflex cardiac arrest, fracture C2 (judicial). Dribbling of saliva, face pale/congested (partial vs complete)",
        "★ Strangulation: ligature mark = horizontal, complete. Manual = throttling (fingernail abrasions, hyoid fracture). Garroting = from behind",
        "★ PM findings of drowning: frothy fluid in airways, washerwoman's hands/feet, weed in hands, lungs waterlogged (emphysema aquosum). Diatom test = GOLD STANDARD for antemortem drowning",
        "★ Diff b/w ante-mortem & post-mortem drowning: cadaveric spasm (ante), no spasm (post). Diatom test +ve only in ante",
        "Café coronary syndrome: food bolus → vagal inhibition → sudden death. Mimics MI",
        "Café coronary treatment: Heimlich manoeuvre",
        "★ CO poisoning: cherry-red lividity + face. COHb >50% = lethal. Treatment: 100% O₂, hyperbaric O₂",
        "Traumatic asphyxia: compression of chest. Masque écchymotique (petechiae face/neck)",
        "Smothering: mouth + nose covered. Lacerations inner lips (from teeth)",
        "Burking = smothering + traumatic asphyxia simultaneously",
    ],
    THEAD_F, FMT_LIGHT, FMT_DARK,
    star_items=[1,2,3,4,7]
))

# 5. Injuries — two col
story.append(two_col(
    "5A. MECHANICAL INJURIES",
    [
        "★ Abrasion types: Scratch/linear, Graze/brush (direction of force), Pressure/impact. No bleeding (epidermis only). Indicates site + direction of impact. MLI: corroborates history",
        "★ Contusion (bruise): extravasation into tissues. Age: 0-2d (red/blue-black) → 5-7d (green) → 7-14d (yellow) → disappears. Railway pattern bruise",
        "★ Diff incised vs lacerated: Incised = sharp weapon, clean edges, no bridging, bleeds freely; Lacerated = blunt, irregular edges, hair bulbs intact, bridging strands",
        "Stab wound: depth > length. Hilt mark = full penetration",
        "Chop wound: heavy sharp weapon (dao/axe). Mixed incised + lacerated features",
        "Defense injuries: palms, forearms, back of hands — defensive posture against attack",
        "Self-inflicted injury: accessible areas, superficial parallel cuts, hesitation marks, clothing intact",
        "Forged wound: fabricated injury for insurance/alibi",
        "★ Grievous hurt (IPC 320): 8 types — emasculation, permanent loss of sight/hearing, loss of member/joint, permanent disfiguration, fracture/dislocation of bone, dangerous hurt",
        "★ Types of skull fracture: linear, depressed, pond (children), contrecoup, ring fracture (base)",
        "★ Coup and contrecoup injury: coup = at impact site; contrecoup = opposite side (more severe in contrecoup due to brain movement)",
        "Epidural haematoma: lucid interval (middle meningeal artery rupture). Subdural: bridging veins",
        "Whiplash injury: sudden hyperextension-flexion of neck (rear-end collision). C5-C6 most common",
    ],
    "5B. FIREARM INJURIES",
    [
        "★ Entry wound (rifled): circular, inverted, abrasion collar (contusion ring), smaller",
        "★ Exit wound: irregular, everted (punched out), larger, NO abrasion collar",
        "Contact range GSW: muzzle impression, star-shaped laceration, singeing, blackening, tattooing (all present)",
        "★ Abrasion collar (contusion ring): due to bullet spinning. Always present at entry. Absent in exit",
        "Tattooing/Stippling: unburnt gunpowder embeds in skin. Cannot be wiped. <60 cm range",
        "Blackening/Smudging: soot deposits. Can be wiped. Very close range",
        "Tandem bullet: two bullets fired from one cartridge, one behind other",
        "Ricochet bullet: deflected off surface → irregular trajectory, irregular wound",
        "Classify firearms: rifled (pistol, rifle, revolver) vs smooth bore (shotgun). Rifled → more accurate",
        "Primer in cartridge: ignites propellant. Components: case, primer, propellant, projectile",
        "Close shotgun injury: single circular entry. Near range: multiple pellet holes + central hole. Distant: multiple separate pellets",
        "GSR (Gunshot Residue): Pb, Ba, Sb triad. SEM-EDX analysis. Within 6 hrs",
        "Beveling of skull: internal bevel at entry, external bevel at exit",
    ],
    THEAD_F, FMT_LIGHT, FMT_DARK,
    THEAD_F, FMT_LIGHT, FMT_DARK,
    l_stars=[0,1,2,8,9,10,11], r_stars=[0,1,3]
))

# 6. Burn + Electrical + Infanticide
story.append(two_col(
    "6A. BURNS, ELECTRICAL & THERMAL INJURIES",
    [
        "★ Dupuytren's classification of burns: 1st (erythema), 2nd (blister/vesicle), 3rd (full thickness — charring), 4th (carbonization)",
        "Cause of death in burns: shock, sepsis, respiratory failure, renal failure",
        "★ Ante-mortem vs post-mortem burn: AM = vital reactions (soot in airways, COHb >10%, cherry-red blood, inflammatory response, blisters with protein/chloride)",
        "Joule burn (electrical): metalloidal deposit at entry + exit. Arborescent burns (lightning) = Lichtenberg flower marking",
        "Pugilistic attitude: boxing posture due to heat stiffening of flexors (NOT rigor mortis)",
        "Trench foot: prolonged cold water immersion without freezing",
    ],
    "6B. INFANTICIDE & IDENTIFICATION",
    [
        "★ Signs of live birth: cry, air in lungs (+hydrostatic test), separate placenta, meconium passage, cord changes",
        "★ Signs of dead born (stillbirth): no air in lungs, maceration if long-standing",
        "★ Rule of Hasse: fetal age in months squared = length (cm) in first 5 months. After 5 months × 5",
        "Battered baby syndrome: multiple fractures (different ages), retinal haemorrhage, subdural, metaphyseal fractures",
        "★ Gustafson's method: 6 dental features — Attrition, Secondary dentin, Periodontosis, Cementum apposition, Root resorption, Transparency of root (ASPCRT)",
        "★ Types of fingerprints: Arch (5%), Tented arch, Radial loop, Ulnar loop (most common 65%), Whorl, Composite. Henry system classification",
        "Diff b/w Animal hair & Human hair: medullary index >0.5 = animal; <0.33 = human",
        "Barr body (sex chromatin): present in females (XX). Seen in buccal smear. One less than X chromosome number",
        "MLI of tattoo mark: identify deceased, communicate occupation/gang membership, permanence",
        "MLI of 18 years of age: age of consent, driving, voting, marriage (girls), criminal responsibility",
    ],
    THEAD_F, FMT_LIGHT, FMT_DARK,
    THEAD_F, FMT_LIGHT, FMT_DARK,
    l_stars=[0,2], r_stars=[0,2,4,5]
))

# 7. Sexual Offences + Pregnancy
story.append(box(
    "7. SEXUAL OFFENCES, VIRGINITY & PREGNANCY",
    [
        "★ Section 375 IPC (Rape): 7 clauses — against will, without consent, false promise of marriage, while intoxicated, <18 yrs, mental incapacity, etc. Punishment IPC 376: min 7 yrs → life",
        "★ POCSO Act 2012: Sexual offences against children <18 yrs. Penetrative, aggravated, non-penetrative, sexual harassment, pornography",
        "★ Medicolegal examination of rape victim: written informed consent, examine injuries (genital + non-genital), hymen examination, vaginal swab (within 72-96 hrs), blood grouping, DNA collection",
        "Samples to preserve: vaginal swab, blood, urine, semen, clothing, nail clippings",
        "★ Hymen: types (annular, crescentic, cribriform, imperforate). Tear: fresh = bleeds, old = healed notch at 3 or 9 o'clock. NOT reliable indicator of virginity",
        "★ Diff b/w true & false virginity: true = intact hymen; false = intact hymen but history of coitus OR broken hymen but no coitus",
        "Two-finger test: abolished by Supreme Court 2022 (re-traumatizing, inaccurate, violates dignity)",
        "★ Sexual perversions (paraphilias): Pedophilia (<14 yrs), Voyeurism (watching), Exhibitionism, Fetishism, Sadism (pleasure from inflicting pain), Masochism (own pain), Bestiality (animals), Tribadesim/Lesbianism, Sodomy (IPC 377)",
        "Probable signs of pregnancy: amenorrhoea, nausea, breast changes, Chadwick's sign, Hegar's sign (6-8 wks), Goodell's sign, ballottement",
        "★ Confirmatory signs: USG (fetal heart from 6 wks), FHR auscultation, fetal movements felt by examiner, X-ray skeleton",
        "★ Presumptive signs of recent delivery: uterine involution, lochia, engorged breasts, stretch marks, torn hymen + perineum",
        "Heteropaternal superfecundation: twins with different fathers (two ova fertilized in same cycle by different men)",
        "★ Artificial Insemination: AIH (husband) vs AID (donor). MLI: legitimacy of child",
        "★ MTP Act 2021 amendment: up to 20 wks (one provider), up to 24 wks (special: rape, incest, fetal abnormality, disability). Unmarried women now included",
        "Methods of criminal abortion: instrumental (most dangerous), drugs (ergot, quinine, pitocin), local (soap/antiseptic)",
        "Impotence vs sterility: impotence = inability to have intercourse; sterility = inability to reproduce",
    ],
    THEAD_F, FMT_LIGHT, FMT_DARK,
    star_items=[0,1,2,4,5,7,9,10,12,13]
))

# 8. Medical Jurisprudence + Psychiatry
story.append(box(
    "8. MEDICAL JURISPRUDENCE & FORENSIC PSYCHIATRY",
    [
        "★ Professional misconduct: infamous conduct, covering for unqualified person, issuing false certificate, criminal abortion, association with unqualified person. Punished by NMC",
        "★ Negligence: 4 D's — Duty, Dereliction, Direct causation, Damage. Bolam test: standard of reasonable doctor",
        "★ Civil vs Criminal negligence: civil = compensation; criminal (IPC 304A) = imprisonment up to 2 yrs. Jacob Mathew case",
        "★ Informed consent: voluntary, competent, informative. Elements: diagnosis, procedure, risks, alternatives, right to refuse. Valid age = 12 yrs general, 18 yrs sterilization",
        "★ Privileged communication: doctor-patient confidentiality. Exceptions: court order, communicable disease notification, insurance, public interest",
        "★ Vicarious liability: employer responsible for employee's negligence. Hospital liable for doctor",
        "★ Professional secrecy: duty of confidentiality. Can be broken: court order, notifiable disease, for patient's welfare",
        "Doctrine of Res ipsa loquitur: 'the thing speaks for itself' — negligence apparent from facts (e.g., instrument left in abdomen)",
        "Corporate negligence: hospital's own direct negligence (credentialing, maintenance, supervision)",
        "Consumer Protection Act 2019: medical services included. NCDRC for compensation",
        "★ NMC Act 2020: replaced MCI. National Medical Commission. Regulates medical education + practice",
        "HIV & AIDS (Prevention & Control) Act 2017: no discrimination, confidentiality, right to treatment",
        "★★★★★★★ McNaughten Rules: legal test for insanity. 'Not guilty by reason of insanity' if at time of offence: didn't know nature of act OR didn't know it was wrong",
        "★★ Delusion types: persecution, grandeur, reference, nihilism, hypochondriacal",
        "★★★★ Hallucination: false perception without external stimulus. Types: visual (organic), auditory (schizophrenia), tactile (cocaine bugs/formication), olfactory, gustatory",
        "★ Testamentary capacity: ability to make a will. Must know: nature of will, property, beneficiaries, free from delusion affecting will",
        "Cocaine bugs (Magnon's symptom/formication): tactile hallucination of insects crawling under skin — cocaine poisoning",
        "OCD: obsessions (intrusive thoughts) + compulsions (repetitive acts). Ego-dystonic",
        "Criminal responsibility of mentally ill: IPC 84 (complete unsoundness of mind = no criminal responsibility)",
    ],
    THEAD_F, FMT_LIGHT, FMT_DARK,
    star_items=[0,1,2,3,4,5,6,10,12,13,14,15]
))

# 9. Toxicology
story.append(box(
    "9. TOXICOLOGY",
    [
        "★ ML duties in suspected poisoning: preserve evidence, collect samples (blood, urine, gastric contents, viscera), fill poison chart, inform police, send viscera in saturated NaCl",
        "★ Classify poisons: corrosive (acids, alkalis), irritant (metallic, non-metallic, mechanical), systemic (cardiac, CNS, spinal, asphyxiant), neurotic",
        "★ Qualities of homicidal poison: tasteless, odourless, colourless, slow acting, mimics natural disease, difficult to detect",
        "★ Gastric lavage: within 4-6 hrs of ingestion. CI: corrosive poisoning (perforation risk), unconscious (without intubation), hydrocarbon ingestion",
        "★ Vitriolage: throwing corrosive acid (H₂SO₄ most common). IPC 326A/B. Specific punishment in India 2013",
        "Carbolic acid (Phenol): white staining → turns red-brown. Anaesthetic on mucosa. Smell of phenol",
        "★ Phosphorus (yellow): garlic odour, luminescent vomit in dark. Hepatotoxicity. Firecracker/matchstick",
        "★ Arsenic: garlic odour, Reinsch test, Marsh test (gold standard). Rice-water stools + blood. Mees lines (transverse white lines on nails). Chronic: keratosis palms/soles, rain-drop pigmentation",
        "★ Diff b/w arsenic & cholera: both have rice-water stools, but arsenic = garlic odour, Marsh test +ve, history of exposure",
        "★ Lead: Burton's line (blue-black gum), wrist/foot drop, basophilic stippling (RBC), lead colic, encephalopathy. Serum lead >10 μg/dL = toxic",
        "Mercury: Minamata disease (organic mercury, Japan). Acrodynia = Pink disease (children). Erethism (neurological)",
        "★ Organophosphates: irreversible AChE inhibition. SLUDGE (Salivation, Lacrimation, Urination, Defecation, GI cramps, Emesis) + miosis, bradycardia. Treatment: Atropine (first) + Pralidoxime (PAM — before aging)",
        "★ Aluminium phosphide (celphos/tablet): releases PH₃ (phosphine gas). No antidote. Gastric decontamination + supportive. Mass suicide India",
        "★ Dhatura (Anticholinergic): MOA = competitive ACh blockade. Signs: Dry as bone, Red as beet, Blind as bat, Mad as hatter, Hot as hare. Treatment: physostigmine (specific antidote)",
        "★ Cannabis indica preparations: bhang (least potent), ganja, charas/hashish (most potent). Active: THC. Run amok (cannabis-induced violence)",
        "★ Cocaine: Erythroxylon coca. Local anaesthetic + vasoconstrictor. Nasal septal perforation (chronic). Cocaine bugs (formication). Crack = freebase form",
        "★ Ethyl alcohol: Widmark formula: BAC = A/(r×W). r = 0.7 (male), 0.6 (female). Legal limit India: 30 mg/100 mL blood. McEwan's sign: putrid smell of breath (ante-mortem alcohol)",
        "Diff b/w poisonous & non-poisonous snake: poisonous = fangs, single row subcaudal scales, elliptical pupil, hemipenis scar. Non-poisonous = double row, round pupil",
        "★ Ophitoxemia (snake venom): neurotoxic (cobra, krait — elapidae), haemotoxic (viper), cytotoxic. Treatment: polyvalent antivenom. Serum sickness risk",
        "★ Abrus precatorius (rosary pea/jequirity): toxalbumin (abrin). MLI: homicide (seeds used as poison)",
        "★ Semicarpus anacardium (marking nut): vesicant contact poison. MLI: skin burns, criminal abortion attempts",
        "★ Croton tiglium (purging croton): phorbol esters, powerful irritant cathartic. Cocarcinogen",
        "★ Nux vomica/Strychnine: alkaloids strychnine + brucine. Spinal poison. Opisthotonos, risus sardonicus, convulsions. Diff: strychnine convulsions vs tetanus (jaw not locked initially in strychnine)",
        "Cyanide: bitter almond smell. Brick-red lividity. Antidote: amyl nitrite + Na thiosulfate",
        "Cardiac poisons: Digitalis (heart block), Aconite (tingling + arrhythmia), Oleander, Veratrum. Hippus: rhythmic contraction-dilation of pupil (aconite)",
    ],
    THEAD_F, FMT_LIGHT, FMT_DARK,
    star_items=[0,1,2,3,4,6,7,8,9,11,12,13,14,15,16,18,19,20,21,22,23]
))

# 10. Recent Advances
story.append(box(
    "10. RECENT ADVANCES & FORENSIC SCIENCE LAB",
    [
        "Narcoanalysis (truth serum): sodium pentothal/scopolamine IV. NOT admissible as sole evidence (Selvi vs Karnataka 2010). Voluntary only",
        "Polygraph (lie detector): measures physiological responses (BP, pulse, respiration, GSR). NOT 100% accurate",
        "Locard's exchange principle: 'every contact leaves a trace' — basis of forensic science",
        "Collection of PM samples: blood (femoral), urine (bladder), vitreous humour (best preserved), stomach contents, liver, brain",
        "DNA fingerprinting: STR (short tandem repeats) — current standard. Mitochondrial DNA from hair shaft (no nucleus). CODIS system (USA)",
        "Dactylography: fingerprint classification (Henry system). MLI of fingerprints: cannot be altered, unique, permanent",
    ],
    THEAD_F, FMT_LIGHT, FMT_DARK
))

# ── QUICK REFERENCE TABLES ──────────────────────────────────────
story.append(Spacer(1,5))
story.append(HRFlowable(width="100%", thickness=1.5, color=GOLD))
story.append(Spacer(1,5))
story.append(Paragraph("⚡  QUICK REFERENCE — KEY NUMBERS & FACTS", S("QT", fontName="Helvetica-Bold", fontSize=10, textColor=colors.HexColor("#333"), spaceBefore=3, spaceAfter=4)))

qr = [
    [Paragraph("<b>PSM KEY NUMBERS</b>", S("PLH", fontName="Helvetica-Bold", fontSize=8.5, textColor=PSM_DARK)),
     Paragraph("<b>FMT KEY NUMBERS</b>", S("FLH", fontName="Helvetica-Bold", fontSize=8.5, textColor=FMT_DARK))],
    [
        Paragraph(
            "• India Census 2011: 121 crore | Sex ratio: 943 | Literacy: 74%<br/>"
            "• IMR (2020): ~27/1000 LB | NMR: ~20 | MMR (2018-20): 97/1L LB<br/>"
            "• TFR India 2020: 2.0 | Life expectancy: 69.7 yrs<br/>"
            "• Herd immunity: 1 − 1/R₀ | Measles coverage needed: 95%<br/>"
            "• PHC: 30,000 pop | Sub-centre: 5,000 | CHC: 1,20,000<br/>"
            "• ASHA: 1/1000 rural pop | ANM: 1 per sub-centre<br/>"
            "• Residual chlorine: 0.5 mg/L | Break-point chlorination<br/>"
            "• BOD: high = polluted | WHO drinking water coliform = 0/100mL<br/>"
            "• MUAC <11.5 cm = SAM | 11.5-12.5 cm = MAM<br/>"
            "• Vit A schedule: 1L IU at 9 mths + measles; 2L IU every 6 mths till 5 yrs<br/>"
            "• ORS (new): 75 mEq/L sodium, 75 mmol/L glucose, 245 mOsm/L<br/>"
            "• APGAR: 0-10 | <7 at 1 min = attention needed<br/>"
            "• MTP 2021: up to 20 wks (1 provider), 24 wks (special cases)",
            BODY),
        Paragraph(
            "• Rigor mortis: starts 2-6 hrs, complete 12 hrs, passes 48-72 hrs<br/>"
            "• Livor mortis: starts 2-4 hrs, FIXED at 8-12 hrs<br/>"
            "• Algor mortis: ~1°C/hr (Henssge nomogram)<br/>"
            "• Spermatozoa viability in vagina: up to 72 hrs<br/>"
            "• Blood alcohol legal limit: 30 mg/100 mL (India driving)<br/>"
            "• Age of consent (POCSO): 18 years<br/>"
            "• Age of medical consent: 12 yrs (general), 18 yrs (sterilization)<br/>"
            "• IPC 304A: death by negligence → 2 yrs | IPC 302: murder → death/life<br/>"
            "• MTP amended 2021: 20 wks (1 provider), 24 wks (special)<br/>"
            "• McNaughten Rule: didn't know nature OR didn't know wrong<br/>"
            "• Widmark formula: BAC = A / (r × W)<br/>"
            "• Rule of 12: rigor complete 12 hrs, lividity fixed 12 hrs<br/>"
            "• Gustafson's 6 features: A-S-P-C-R-T (Attrition, Secondary dentin, Periodontosis, Cementum, Resorption, Transparency)",
            BODY),
    ]
]
qr_tbl = Table(qr, colWidths=[CW/2, CW/2])
qr_tbl.setStyle(TableStyle([
    ("BACKGROUND",(0,0),(0,0),PSM_LIGHT),("BACKGROUND",(1,0),(1,0),FMT_LIGHT),
    ("BACKGROUND",(0,1),(0,1),GREY_BG),("BACKGROUND",(1,1),(1,1),GREY_BG),
    ("TOPPADDING",(0,0),(-1,-1),4),("BOTTOMPADDING",(0,0),(-1,-1),4),
    ("LEFTPADDING",(0,0),(-1,-1),6),
    ("BOX",(0,0),(0,-1),1,PSM_DARK),("BOX",(1,0),(1,-1),1,FMT_DARK),
    ("VALIGN",(0,0),(-1,-1),"TOP"),
]))
story.append(KeepTogether([qr_tbl]))
story.append(Spacer(1,8))
story.append(Paragraph(
    "★ = Topics specifically listed as important in your exam topic sheets  |  Prepared for 3rd Prof MBBS — August 2026. Best of luck! 🎯",
    FNOTE
))

doc.build(story, onFirstPage=footer, onLaterPages=footer)
print(f"PDF created: {OUTPUT}")

import openpyxl
from openpyxl.styles import (
    PatternFill, Font, Alignment, Border, Side, GradientFill
)
from openpyxl.utils import get_column_letter
from openpyxl.worksheet.datavalidation import DataValidation

OUTPUT = "/home/daytona/workspace/mbbs-study/MBBS_3rdProf_StudyPlan.xlsx"

wb = openpyxl.Workbook()

# ── Colour palette ────────────────────────────────────────────────
C = {
    "psm_dark":    "1A5276",
    "psm_mid":     "2980B9",
    "psm_light":   "D6EAF8",
    "fmt_dark":    "7B241C",
    "fmt_mid":     "C0392B",
    "fmt_light":   "FADBD8",
    "gym":         "1E8449",
    "gym_light":   "D5F5E3",
    "outing":      "784212",
    "outing_light":"FDEBD0",
    "gold":        "F0B000",
    "grey_hdr":    "2C3E50",
    "grey_mid":    "85929E",
    "grey_light":  "F4F6F7",
    "white":       "FFFFFF",
    "black":       "000000",
    "revision":    "6C3483",
    "revision_l":  "E8DAEF",
    "exam_day":    "B7950B",
    "exam_light":  "FEF9E7",
    "green_tick":  "27AE60",
    "orange":      "E67E22",
    "orange_l":    "FDEBD0",
}

def fill(hex_color):
    return PatternFill("solid", fgColor=hex_color)

def font(bold=False, color="000000", size=10, italic=False):
    return Font(name="Arial", bold=bold, color=color, size=size, italic=italic)

def align(h="center", v="center", wrap=False):
    return Alignment(horizontal=h, vertical=v, wrap_text=wrap)

def border(style="thin"):
    s = Side(style=style)
    return Border(left=s, right=s, top=s, bottom=s)

def thick_border():
    t = Side(style="medium")
    return Border(left=t, right=t, top=t, bottom=t)

def apply(ws, row, col, value="", bg=None, bold=False, color="000000",
          size=10, halign="center", valign="center", wrap=False,
          italic=False, brdr=True):
    cell = ws.cell(row=row, column=col, value=value)
    if bg:
        cell.fill = fill(bg)
    cell.font = font(bold=bold, color=color, size=size, italic=italic)
    cell.alignment = align(halign, valign, wrap)
    if brdr:
        cell.border = border()
    return cell

def merge_apply(ws, r1, c1, r2, c2, value="", bg=None, bold=False,
                color="000000", size=10, halign="center", valign="center",
                wrap=False, italic=False):
    ws.merge_cells(start_row=r1, start_column=c1, end_row=r2, end_column=c2)
    cell = ws.cell(row=r1, column=c1, value=value)
    if bg:
        cell.fill = fill(bg)
    cell.font = font(bold=bold, color=color, size=size, italic=italic)
    cell.alignment = align(halign, valign, wrap)
    cell.border = border("medium")
    return cell

# ═══════════════════════════════════════════════════════════
# SHEET 1 — DAILY TIMETABLE
# ═══════════════════════════════════════════════════════════
ws1 = wb.active
ws1.title = "Daily Timetable"
ws1.sheet_view.showGridLines = False
ws1.row_dimensions[1].height = 40
ws1.row_dimensions[2].height = 22

# Title
merge_apply(ws1, 1, 1, 1, 5,
    "📅  MBBS 3RD PROF — DAILY STUDY TIMETABLE",
    bg=C["psm_dark"], bold=True, color=C["white"], size=16, valign="center")

merge_apply(ws1, 2, 1, 2, 5,
    "Exam: August 3, 2026  |  Subjects: PSM + FMT  |  Study: 9 hrs/day  |  Gym: 2 hrs  |  Outing: 1.5 hrs",
    bg=C["grey_hdr"], bold=False, color=C["gold"], size=9, italic=True)

# Column widths
ws1.column_dimensions["A"].width = 18
ws1.column_dimensions["B"].width = 32
ws1.column_dimensions["C"].width = 22
ws1.column_dimensions["D"].width = 28
ws1.column_dimensions["E"].width = 18

# Headers
headers = ["Time Slot", "Activity", "Type", "Focus / Notes", "Duration"]
for ci, h in enumerate(headers, 1):
    apply(ws1, 3, ci, h, bg=C["grey_hdr"], bold=True, color=C["white"], size=10)
ws1.row_dimensions[3].height = 18

schedule = [
    # (time, activity, type, notes, duration, bg)
    ("5:30 AM",         "Wake Up & Freshen Up",             "Personal",         "Light breakfast, hydration",                          "30 min",  C["grey_light"]),
    ("6:00 – 6:45 AM",  "Morning Revision",                 "Study",            "Flashcards / previous day's notes — NO new content",  "45 min",  C["psm_light"]),
    ("6:45 – 7:00 AM",  "Travel / Prep for Gym",            "Personal",         "Get ready, pack gym bag",                             "15 min",  C["grey_light"]),
    ("7:00 – 9:00 AM",  "🏋️ GYM",                          "Gym",              "Workout: 45 min lifting + 15 min cardio + cool-down", "2 hrs",   C["gym_light"]),
    ("9:00 – 9:30 AM",  "Shower + Breakfast",               "Personal",         "High-protein breakfast (eggs, milk, fruits)",          "30 min",  C["grey_light"]),
    ("9:30 AM – 1:00 PM","📘 Study Block 1 — PSM",          "PSM Study",        "Main theory: 1 topic in depth. Write short notes",    "3.5 hrs", C["psm_light"]),
    ("1:00 – 1:15 PM",  "Short Break",                      "Break",            "Stretch, walk around",                                "15 min",  C["grey_light"]),
    ("1:00 – 2:00 PM",  "Lunch + Rest",                     "Personal",         "Light lunch. Power nap 20 min if needed",             "1 hr",    C["grey_light"]),
    ("2:00 – 5:30 PM",  "📕 Study Block 2 — FMT",          "FMT Study",        "Main theory: 1 topic in depth. Write short notes",    "3.5 hrs", C["fmt_light"]),
    ("5:30 – 7:00 PM",  "🚶 Outing / Break",               "Outing",           "Walk, hang out, relax — MANDATORY, prevents burnout", "1.5 hrs", C["outing_light"]),
    ("7:00 – 7:30 PM",  "Freshen Up + Light Snack",         "Personal",         "Tea/coffee, light snack",                             "30 min",  C["grey_light"]),
    ("7:30 – 9:30 PM",  "📚 Study Block 3 — Mixed PYQs",   "Revision",         "Solve 20-25 PYQs: mix PSM + FMT. Self-test",          "2 hrs",   C["revision_l"]),
    ("9:30 – 10:00 PM", "Plan Next Day",                    "Planning",         "Write tomorrow's topics, review today's notes",       "30 min",  C["grey_light"]),
    ("10:00 PM",        "😴 Sleep",                         "Personal",         "8 hrs sleep. No screen 30 min before bed",            "8 hrs",   C["grey_light"]),
]

type_colors = {
    "PSM Study":  C["psm_mid"],
    "FMT Study":  C["fmt_mid"],
    "Gym":        C["gym"],
    "Outing":     C["outing"],
    "Revision":   C["revision"],
    "Personal":   C["grey_mid"],
    "Break":      C["grey_mid"],
    "Planning":   C["grey_mid"],
    "Study":      C["psm_mid"],
}

for ri, (time, act, typ, notes, dur, row_bg) in enumerate(schedule, 4):
    ws1.row_dimensions[ri].height = 20
    apply(ws1, ri, 1, time,   bg=row_bg, bold=True,  halign="center")
    apply(ws1, ri, 2, act,    bg=row_bg, bold=False, halign="left",  wrap=True)
    tc = type_colors.get(typ, C["grey_mid"])
    apply(ws1, ri, 3, typ,    bg=tc, bold=True, color=C["white"], halign="center")
    apply(ws1, ri, 4, notes,  bg=row_bg, bold=False, halign="left",  wrap=True, italic=True, size=9)
    apply(ws1, ri, 5, dur,    bg=row_bg, bold=True,  halign="center")

# Summary totals
r = len(schedule) + 5
merge_apply(ws1, r, 1, r, 2, "DAILY SUMMARY", bg=C["grey_hdr"], bold=True, color=C["white"], size=10)
summaries = [
    ("Total Study Hours", "~9 hours", C["psm_light"]),
    ("Gym",               "2 hours",  C["gym_light"]),
    ("Outing / Break",    "1.5 hours",C["outing_light"]),
    ("Sleep",             "8 hours",  C["grey_light"]),
]
for i, (lbl, val, bg) in enumerate(summaries, r+1):
    ws1.row_dimensions[i].height = 18
    apply(ws1, i, 1, lbl, bg=C["grey_light"], bold=True, halign="left")
    apply(ws1, i, 2, val, bg=bg,              bold=True, halign="center", color=C["black"])
    for col in range(3, 6):
        apply(ws1, i, col, "", bg=bg)

# ═══════════════════════════════════════════════════════════
# SHEET 2 — 20-DAY PLAN
# ═══════════════════════════════════════════════════════════
ws2 = wb.create_sheet("20-Day Study Plan")
ws2.sheet_view.showGridLines = False

ws2.column_dimensions["A"].width = 5
ws2.column_dimensions["B"].width = 14
ws2.column_dimensions["C"].width = 12
ws2.column_dimensions["D"].width = 36
ws2.column_dimensions["E"].width = 36
ws2.column_dimensions["F"].width = 30
ws2.column_dimensions["G"].width = 14

ws2.row_dimensions[1].height = 38
ws2.row_dimensions[2].height = 20
ws2.row_dimensions[3].height = 18

merge_apply(ws2, 1, 1, 1, 7,
    "📅  20-DAY STUDY PLAN  —  July 14 to August 2, 2026",
    bg=C["psm_dark"], bold=True, color=C["white"], size=15)
merge_apply(ws2, 2, 1, 2, 7,
    "Exam: August 3, 2026  |  ★ = High-priority exam topics  |  Revision days every Sunday + Monday",
    bg=C["grey_hdr"], bold=False, color=C["gold"], size=9, italic=True)

headers2 = ["#", "Date", "Day", "📘 PSM — Morning Block (9:30–1:00)", "📕 FMT — Afternoon Block (2:00–5:30)", "🌙 Evening Block (7:30–9:30) — PYQs / Revision", "Status"]
for ci, h in enumerate(headers2, 1):
    apply(ws2, 3, ci, h, bg=C["grey_hdr"], bold=True, color=C["white"], size=9, wrap=True)
ws2.row_dimensions[3].height = 28

days = [
    # (date_str, day, psm_topic, fmt_topic, evening, row_type)
    # WEEK 1
    ("Jul 14", "Tue", "Epidemiology basics: Define epi, Epi triad, Descriptive epi (Person/Place/Time)", "Thanatology: Stages of death, Rule of 12, Rigor mortis, Hypostasis", "PYQs: Epidemiology + PM changes", "psm"),
    ("Jul 15", "Wed", "Epidemiology study designs: Case-control (OR formula), Cohort (RR formula), Diff b/w CCS & Cohort", "Forensic pathology: Abrasion, Contusion (age estimation), Laceration vs Incised wound", "Short notes: OR, RR, Abrasion MLI", "psm"),
    ("Jul 16", "Thu", "Biostatistics: ALL formulae — SD, SE, CI, sensitivity, specificity, PPV, NPV, NNT", "Asphyxial deaths: Hanging (classify+PM), Strangulation, Throttling, CO poisoning", "PYQs: Biostatistics + Asphyxia", "psm"),
    ("Jul 17", "Fri", "Biostatistics: Tests of significance — t-test, Chi-sq, ANOVA. Sampling types", "Sexual offences: Rape (IPC 375/376), POCSO 2012, Hymen exam, Rape kit, Two-finger test abolition", "PYQs: Sampling + IPC sections", "psm"),
    ("Jul 18", "Sat", "Communicable diseases: ARI, Rabies, Dengue, Cholera, Food poisoning. IHR 2005", "Medical jurisprudence: Inquest types, Perjury, Dying declaration, Professional misconduct, Consent", "Mixed PYQs: Comm disease + Jurisprudence", "psm"),
    ("Jul 19", "Sun", "National Programmes: UIP schedule, DOTS/NTEP, NVBDCP, VVM, Cold chain, Herd immunity", "Forensic psychiatry: McNaughten rule, Hallucination, Delusion, Testamentary capacity", "★ WEEK 1 SELF-TEST: 30 MCQs each subject", "revision"),
    ("Jul 20", "Mon", "🔄 REVISION — Week 1 PSM: Epi + Biostat + Comm Disease formulae + PYQs", "🔄 REVISION — Week 1 FMT: PM changes + Injuries + Asphyxia + Jurisprudence", "Weak areas only. Make cheat sheet for formulae", "revision"),
    # WEEK 2
    ("Jul 21", "Tue", "Non-communicable diseases: Rule of halves (HTN), Diabetes epi, Cancer (CAUTION signs), Screening cervical", "Toxicology: Corrosive poisons (H₂SO₄, Carbolic acid). Metallic: Arsenic (Marsh test), Lead (Burton's line)", "PYQs: NCDs + Corrosive/Metallic poisons", "psm"),
    ("Jul 22", "Wed", "MCH: ANC, High-risk pregnancy, APGAR, KMC, BFHI, Growth chart, MMR/IMR formulae", "Toxicology: OP poisoning (SLUDGE, Atropine + PAM), Aluminium phosphide, Dhatura (anticholinergic signs)", "PYQs: MCH + OP/Dhatura toxicology", "psm"),
    ("Jul 23", "Thu", "Nutrition: PEM (Kwashiorkor vs Marasmus), MUAC, Vit A schedule, ICDS, Balanced diet, NPU", "Toxicology: Alcohol (Widmark formula), Cannabis, Cocaine (cocaine bugs), Plant poisons (Abrus, Nux vomica)", "Cheat sheet: Toxicology antidotes", "fmt"),
    ("Jul 24", "Fri", "Health planning: NHM/NRHM/NUHM, ASHA duties, PHC/CHC/SC norms, IPHS, Planning cycle, PERT", "Sexual offences (cont): Pregnancy signs, MTP Act 2021, Artificial insemination, Infanticide, Rule of Hasse", "PYQs: Health programmes + Sexual offences", "psm"),
    ("Jul 25", "Sat", "Demography: Demographic cycle (4 stages), TFR/GFR/MMR/IMR formulae, Contraception (all methods)", "Identification: Gustafson's 6 features, Fingerprints (types, Henry), Hair (medullary index), Barr body, DNA", "PYQs: Demography + Identification", "psm"),
    ("Jul 26", "Sun", "Environment: Water purification (slow vs rapid sand), BOD, Chlorination, BMW colour coding. Occupational health", "Firearm injuries: Entry vs exit wound, Abrasion collar, Tattooing vs blackening, Range estimation, GSR", "★ WEEK 2 SELF-TEST: 30 MCQs each subject", "revision"),
    ("Jul 27", "Mon", "🔄 REVISION — Week 2 PSM: NCDs + MCH + Nutrition + Demography + Environment", "🔄 REVISION — Week 2 FMT: Toxicology + Identification + Firearms + Sexual offences", "Target score: ≥75% on PYQs. Note all mistakes", "revision"),
    # WEEK 3 — INTENSIVE REVISION
    ("Jul 28", "Tue", "★ INTENSIVE: Epidemiology (all study designs, bias types) + Biostatistics (all formulae sheet)", "★ INTENSIVE: Thanatology (Rule of 12) + PM changes + Autopsy (viscera preservation)", "Full-length MCQ test: 50 Qs PSM", "psm"),
    ("Jul 29", "Wed", "★ INTENSIVE: Communicable diseases (all national programs, UIP, vaccine schedule)", "★ INTENSIVE: Asphyxia + Injuries + Firearm wounds (all types, entry vs exit)", "Full-length MCQ test: 50 Qs FMT", "fmt"),
    ("Jul 30", "Thu", "★ INTENSIVE: MCH + Nutrition + Health planning + Demography (all numerical indicators)", "★ INTENSIVE: Toxicology (classify all, antidotes, SLUDGE, Dhatura signs)", "Mixed: 25 PSM + 25 FMT PYQs. Review weak areas", "revision"),
    ("Jul 31", "Fri", "★ INTENSIVE: Environment + Occupational health + Screening criteria + Social medicine", "★ INTENSIVE: Jurisprudence (all IPC sections, McNaughten, MTP Act, POCSO)", "IPC sections + important formulae — loud revision", "fmt"),
    ("Aug 1",  "Sat", "🧪 MOCK EXAM — Full PSM paper (3 hrs timed). Review all wrong answers", "🧪 MOCK EXAM — Full FMT paper (3 hrs timed). Review all wrong answers", "Compare with answer key. Targeted revision of gaps", "exam"),
    ("Aug 2",  "Sun", "LIGHT REVISION ONLY — PSM: Biostat formulae, UIP schedule, MMR/IMR numbers, Herd immunity", "LIGHT REVISION ONLY — FMT: IPC sections list, Rule of 12, Gustafson's 6, Widmark formula", "Rest by 9 PM. No new content. Sleep 8 hrs ✅", "exam"),
    # EXAM DAY
    ("Aug 3",  "Mon", "🎯 EXAM DAY — PSM", "🎯 EXAM DAY — FMT", "You've got this! Stay calm, attempt all questions", "exam_day"),
]

row_bgs = {
    "psm":      (C["psm_light"],    C["fmt_light"]),
    "fmt":      (C["fmt_light"],    C["psm_light"]),
    "revision": (C["revision_l"],   C["revision_l"]),
    "exam":     (C["exam_light"],   C["exam_light"]),
    "exam_day": (C["gold"],         C["gold"]),
}

status_dv = DataValidation(
    type="list",
    formula1='"✅ Done,🔄 In Progress,⏳ Pending,⭐ Needs Review"',
    allow_blank=True
)
ws2.add_data_validation(status_dv)

for idx, (date, day, psm, fmt, eve, rtype) in enumerate(days, 1):
    r = idx + 3
    ws2.row_dimensions[r].height = 42 if rtype in ("revision", "exam", "exam_day") else 52

    bg_psm, bg_fmt = row_bgs.get(rtype, (C["psm_light"], C["fmt_light"]))
    # alt row tinting
    row_bg = bg_psm

    # determine text colours for special rows
    txt_col = C["black"]
    if rtype == "exam_day":
        txt_col = C["white"]
        row_bg = C["fmt_dark"]

    apply(ws2, r, 1, idx,  bg=row_bg, bold=True,  size=9, color=txt_col)
    apply(ws2, r, 2, date, bg=row_bg, bold=True,  size=9, color=txt_col)
    apply(ws2, r, 3, day,  bg=row_bg, bold=False, size=9, color=txt_col)
    apply(ws2, r, 4, psm,  bg=bg_psm if rtype != "exam_day" else row_bg,
          bold=False, size=8.5, halign="left", wrap=True, color=txt_col)
    apply(ws2, r, 5, fmt,  bg=bg_fmt if rtype != "exam_day" else row_bg,
          bold=False, size=8.5, halign="left", wrap=True, color=txt_col)
    apply(ws2, r, 6, eve,  bg=C["revision_l"] if rtype not in ("exam_day",) else row_bg,
          bold=False, size=8.5, halign="left", wrap=True, italic=True,
          color=txt_col if rtype == "exam_day" else C["black"])

    status_cell = ws2.cell(row=r, column=7, value="⏳ Pending")
    status_cell.font = font(size=9, bold=False)
    status_cell.alignment = align("center", "center")
    status_cell.fill = fill(C["grey_light"])
    status_cell.border = border()
    status_dv.add(status_cell)

# Week separators
week_rows = {4: "WEEK 1 — Foundation Topics (Jul 14–20)",
             11: "WEEK 2 — Complete Syllabus (Jul 21–27)",
             18: "WEEK 3 — Intensive Revision (Jul 28–Aug 2)"}
# Insert colored band above each week block — done via row colouring above

# ═══════════════════════════════════════════════════════════
# SHEET 3 — PSM TOPIC CHECKLIST
# ═══════════════════════════════════════════════════════════
ws3 = wb.create_sheet("PSM Topic Checklist")
ws3.sheet_view.showGridLines = False
ws3.column_dimensions["A"].width = 5
ws3.column_dimensions["B"].width = 35
ws3.column_dimensions["C"].width = 22
ws3.column_dimensions["D"].width = 12
ws3.column_dimensions["E"].width = 18
ws3.column_dimensions["F"].width = 18

merge_apply(ws3, 1, 1, 1, 6,
    "📘  PSM — COMPLETE TOPIC CHECKLIST",
    bg=C["psm_dark"], bold=True, color=C["white"], size=14)
merge_apply(ws3, 2, 1, 2, 6,
    "Mark each topic as Done / In Progress / Pending. Focus on ★★★★★ topics first.",
    bg=C["psm_mid"], bold=False, color=C["white"], size=9, italic=True)

hdrs3 = ["#", "Topic", "Sub-topics / Key Points", "★ Imp", "Status", "Revised?"]
for ci, h in enumerate(hdrs3, 1):
    apply(ws3, 3, ci, h, bg=C["grey_hdr"], bold=True, color=C["white"], size=9)
ws3.row_dimensions[3].height = 18

psm_topics = [
    # (topic, subtopics, imp_stars)
    ("Health & Disease",        "Define Health, PQLI, Spectrum, Iceberg, Epidemiological triad, SDGs/MDGs",          "★★★★"),
    ("Levels of Prevention",    "Primordial/Primary/Secondary/Tertiary, Modes of intervention, Examples each",        "★★★★★"),
    ("Epidemiology — Basics",   "Define epi, Aims, Descriptive (PPT), Epidemic curve, Secular trend",                "★★★★"),
    ("Case-Control Study",      "OR formula, retrospective, advantages/disadvantages, biases (Berkson's)",            "★★★★★"),
    ("Cohort Study",            "RR formula, prospective, advantages/disadvantages, Neyman bias",                     "★★★★★"),
    ("RCT",                     "Steps, blinding, ITT analysis, types of RCT, PICO",                                  "★★★★★"),
    ("Diff CCS vs Cohort",      "Direction, time, measure of association, cost, suitable disease",                    "★★★★"),
    ("Screening",               "Criteria (Wilson & Jungner), types, sensitivity, specificity, PPV, NPV, lead time", "★★★★★"),
    ("Biostatistics — Formulae","SD, SE, CI (95%=±1.96SE), Normal distribution %s, NNT, ARR, RRR",                  "★★★★★"),
    ("Statistical Tests",       "t-test, ANOVA, Chi-square, Mann-Whitney. Type I/II error, Power, p-value",           "★★★★"),
    ("Sampling Methods",        "SRS, Stratified, Systematic, Cluster, Multistage. Diff stratified vs SRS",          "★★★★★"),
    ("ARI / Rabies / Dengue",   "ARI: IMNCI classification. Rabies: Negri bodies, PEP. Dengue: NS1, DHF grades",     "★★★★★"),
    ("Malaria",                 "API, SPR, ABER, P.falciparum severe malaria, NVBDCP control measures",              "★★★★"),
    ("TB/RNTCP-NTEP",           "DOTS, drug regimens, MDR-TB, DOTS-plus",                                             "★★★"),
    ("Food Poisoning Types",    "Staph (1-6h), Salmonella (6-72h), Botulinum (canned), Bacillus cereus",             "★★★★"),
    ("IPV vs OPV",              "Killed vs live, VAPP, seroconversion, herd immunity differences",                    "★★★★"),
    ("Immunization Schedule",   "Complete UIP schedule, cold chain (+2 to +8°C), VVM, AEFI",                         "★★★★★"),
    ("Herd Immunity",           "Formula: 1 − 1/R₀. Measles 95%, Polio 85%",                                         "★★★"),
    ("Rule of Halves (HTN)",    "½ know → ½ treated → ½ controlled = only 1/8 controlled",                          "★★★★★"),
    ("Diabetes Epidemiology",   "Risk factors, diagnostic criteria (FBG/RBG/HbA1c), global burden",                  "★★★"),
    ("Danger Signs of Cancer",  "CAUTION mnemonic, cervical cancer screening (Pap, VIA), cancer prevention",          "★★★"),
    ("RMNCH+A / IMNCI",         "Lifecycle approach, IMNCI classification (danger signs, assess, classify, treat)",  "★★★★★"),
    ("MCH Indicators",          "MMR, IMR, NMR, U5MR, TFR, GFR formulae + India values",                            "★★★★"),
    ("ANC / High-risk Preg",    "4 (WHO 8) visits, PMSMA 9th of month, high-risk criteria, APGAR",                   "★★★"),
    ("KMC / BFHI / Growth",     "Kangaroo mother care, Baby-friendly hospital, growth chart Z-scores, MUAC",          "★★★"),
    ("PEM",                     "Kwashiorkor vs Marasmus (features diff), Gomez/IAP classification, MUAC <11.5=SAM", "★★★★★"),
    ("Vitamins & Deficiencies",  "Vit A (Bitot's, Xerophthalmia), Vit D (Rickets), Iron (common), Iodine (goitre)",  "★★★★"),
    ("ICDS Programme",          "6 services, target group (0-6 yrs, preg, lactating), anganwadi worker",              "★★★"),
    ("Demographic Cycle",       "4 stages, India in Stage 3. TFR 2.0 (India 2020). Replacement TFR = 2.1",           "★★★★★"),
    ("Contraception",           "All methods, Pearl index, OCP types (2nd/3rd gen), emergency OCP, MTP Act 2021",    "★★★★"),
    ("Water & Environment",     "Slow vs rapid sand filter, residual chlorine 0.5mg/L, BOD, BMW colour coding",       "★★★★"),
    ("Chlorination",            "Break-point chlorination, residual chlorine, disinfection of wells",                 "★★★"),
    ("Breeding Habits",         "Anopheles, Culex, Aedes — habitats and diseases transmitted",                        "★★★"),
    ("Occupational Health",     "Ergonomics, Pneumoconiosis (silicosis, asbestosis), ESI Act, NIHL >85dB",            "★★★"),
    ("Triage",                  "START method, colour codes (red/yellow/green/black), disaster phases",               "★★★"),
    ("Health Planning",         "Planning cycle steps, PERT/CPM, NHM structure, PHC/CHC/SC norms, ASHA 1/1000",     "★★★★"),
    ("Social Medicine",         "Types of family, IQ formula, Doctor-patient relationship (Szasz-Hollander)",         "★★★"),
    ("Biostatistics — Diagrams","Bar, Pie, Histogram, Frequency polygon, measures of central tendency",               "★★"),
    ("Communication",           "Process, barriers, IEC vs BCC, health education vs propaganda",                      "★★★"),
    ("International Health",    "WHO (HQ Geneva, functions), UNICEF (GOBI), World Health Day 2025 theme",            "★★★"),
]

status_dv3 = DataValidation(
    type="list",
    formula1='"✅ Done,🔄 In Progress,⏳ Not Started,⭐ Need Review"',
    allow_blank=True
)
ws3.add_data_validation(status_dv3)

revised_dv3 = DataValidation(
    type="list",
    formula1='"✅ Yes,❌ No,🔄 Once"',
    allow_blank=True
)
ws3.add_data_validation(revised_dv3)

for idx, (topic, subtopics, stars) in enumerate(psm_topics, 1):
    r = idx + 3
    ws3.row_dimensions[r].height = 32
    row_bg = C["psm_light"] if idx % 2 == 0 else C["white"]
    apply(ws3, r, 1, idx,       bg=row_bg, bold=True,  size=9)
    apply(ws3, r, 2, topic,     bg=row_bg, bold=True,  size=9, halign="left", wrap=True)
    apply(ws3, r, 3, subtopics, bg=row_bg, bold=False, size=8, halign="left", wrap=True, italic=True)
    star_bg = C["gold"] if "★★★★★" in stars else (C["psm_light"] if "★★★★" in stars else C["grey_light"])
    apply(ws3, r, 4, stars,     bg=star_bg, bold=True, size=9, color=C["fmt_dark"] if "★★★★★" in stars else C["black"])

    sc = ws3.cell(row=r, column=5, value="⏳ Not Started")
    sc.font = font(size=9); sc.alignment = align(); sc.fill = fill(C["grey_light"]); sc.border = border()
    status_dv3.add(sc)

    rc = ws3.cell(row=r, column=6, value="❌ No")
    rc.font = font(size=9); rc.alignment = align(); rc.fill = fill(C["grey_light"]); rc.border = border()
    revised_dv3.add(rc)

# ═══════════════════════════════════════════════════════════
# SHEET 4 — FMT TOPIC CHECKLIST
# ═══════════════════════════════════════════════════════════
ws4 = wb.create_sheet("FMT Topic Checklist")
ws4.sheet_view.showGridLines = False
ws4.column_dimensions["A"].width = 5
ws4.column_dimensions["B"].width = 35
ws4.column_dimensions["C"].width = 22
ws4.column_dimensions["D"].width = 12
ws4.column_dimensions["E"].width = 18
ws4.column_dimensions["F"].width = 18

merge_apply(ws4, 1, 1, 1, 6,
    "📕  FMT — COMPLETE TOPIC CHECKLIST",
    bg=C["fmt_dark"], bold=True, color=C["white"], size=14)
merge_apply(ws4, 2, 1, 2, 6,
    "Mark each topic as Done / In Progress / Pending. Focus on ★★★★★ topics first.",
    bg=C["fmt_mid"], bold=False, color=C["white"], size=9, italic=True)

hdrs4 = ["#", "Topic", "Sub-topics / Key Points", "★ Imp", "Status", "Revised?"]
for ci, h in enumerate(hdrs4, 1):
    apply(ws4, 3, ci, h, bg=C["grey_hdr"], bold=True, color=C["white"], size=9)
ws4.row_dimensions[3].height = 18

fmt_topics = [
    ("Inquest Types",          "Police (CrPC 174) vs Magistrate (CrPC 176) — when each called, differences",         "★★★★★"),
    ("Dying Declaration",      "IEA Section 32, no oath, magistrate preferred, all circumstances of transaction",     "★★★★"),
    ("Perjury",                "IPC 193, 7 yrs, false evidence under oath",                                          "★★★★"),
    ("Rule of 12",             "Rigor: starts 4h, complete 12h, passes 48h. Lividity fixed 12h",                     "★★★★★"),
    ("Rigor Mortis",           "ATP depletion, actin-myosin, Nysten's law, cadaveric spasm, heat stiffening",        "★★★★★"),
    ("Hypostasis / Lividity",  "Starts 2-4h, fixed 8-12h, colour (CO=cherry red, drowning=pink), MLI",              "★★★★"),
    ("Adipocere",              "Saponification, moist conditions, months to develop, MLI",                           "★★★"),
    ("Decomposition",          "Putrefaction, green iliac fossa first, marbling, stages",                             "★★★"),
    ("Mummification",          "Dry hot environment, desiccation, preserves features",                               "★★"),
    ("Autopsy — Viscera",      "Organs preserved, quantity, preservative = saturated NaCl (NOT formalin)",           "★★★★★"),
    ("Exhumation",             "Executive magistrate order, procedure, witnesses, PM done fresh",                     "★★★"),
    ("Abrasion Types & MLI",   "Scratch/graze/pressure. No bleeding. Direction of force. Site of impact",            "★★★★★"),
    ("Contusion / Bruise",     "Age estimation (0→red-black→green→yellow). Railway pattern bruise",                  "★★★★"),
    ("Incised vs Lacerated",   "Incised: sharp, clean edges, no bridging; Lacerated: blunt, bridging strands",       "★★★★"),
    ("Stab Wound",             "Depth > length, hilt mark, sharp weapon",                                            "★★★"),
    ("Chop Wound",             "Heavy sharp weapon, features of both incised + lacerated",                           "★★★"),
    ("Defense Injuries",       "Palms/forearms/back of hand, seen in homicidal assault victims",                     "★★★"),
    ("Grievous Hurt IPC 320",  "8 types: emasculation, loss of eye/ear, limb, fracture, disfiguration, dangerous",  "★★★★"),
    ("Skull Fractures",        "Linear, depressed, pond (children), contrecoup, ring (base)",                        "★★★★"),
    ("Coup & Contrecoup",      "Coup = at impact, contrecoup = opposite (more severe). Lucid interval = EDH",        "★★★"),
    ("Hanging",                "Judicial vs suicidal, ligature mark (oblique, incomplete), causes of death, PM",     "★★★★★"),
    ("Throttling/Strangulation","Ligature mark horizontal+complete vs manual (fingernail marks, hyoid fx)",          "★★★★"),
    ("Drowning PM findings",   "Washerwoman hands, frothy fluid, weed in hands, emphysema aquosum",                  "★★★★"),
    ("Diatom Test",            "Gold standard for ante-mortem drowning. Diatoms pass to bone marrow only ante-M",    "★★★★"),
    ("Entry vs Exit GSW",      "Entry: inverted, smaller, abrasion collar. Exit: everted, larger, no collar",        "★★★★★"),
    ("Abrasion Collar",        "Due to bullet spin. Present ONLY at entry. Absent at exit",                          "★★★★★"),
    ("Range of Firearm",       "Contact → close → near → distant. Features change progressively",                   "★★★★"),
    ("Burns Classification",   "Dupuytren's 4 degrees. AM vs PM burn (vital reactions, soot in airways, COHb>10%)", "★★★★"),
    ("Rape IPC 375/376",       "7 clauses of IPC 375. Examination: injuries, hymen, swabs, DNA. Samples to keep",   "★★★★★"),
    ("POCSO Act 2012",         "All sexual offences against <18 yrs. Types, punishment, mandatory reporting",        "★★★★★"),
    ("MTP Act 2021",           "Up to 20 wks (1 provider), 24 wks special categories, unmarried included",          "★★★★"),
    ("Signs of Live Birth",    "Cry, air in lungs (hydrostatic test), separate cord/placenta, meconium",             "★★★★"),
    ("Rule of Hasse",          "Fetal age: 1st 5 months = month² (cm). After 5 months = month × 5 (cm)",           "★★★★★"),
    ("Gustafson's Method",     "6 features: ASPCRT — Attrition, Secondary dentin, Periodontosis, Cementum, Root resorption, Transparency", "★★★★"),
    ("Fingerprint Types",      "Henry system: Arch, Tented arch, Radial loop, Ulnar loop (most common), Whorl, Composite", "★★★★"),
    ("Sexual Perversions",     "Pedophilia, voyeurism, exhibitionism, fetishism, sadism, masochism, bestiality",     "★★★"),
    ("McNaughten Rules",       "Insanity defence: didn't know nature of act OR didn't know it was wrong (IPC 84)",  "★★★★★★"),
    ("Hallucination",          "False perception without external stimulus. Auditory (schizophrenia), visual (organic), tactile (cocaine)", "★★★★"),
    ("Delusion Types",         "Persecution, grandeur, reference, nihilism, hypochondriacal",                        "★★★"),
    ("Professional Misconduct","Infamous conduct, false certificate, covering unqualified. NMC Act 2020",            "★★★"),
    ("Negligence",             "4 D's. Bolam test. Civil vs Criminal (IPC 304A). Jacob Mathew case",                "★★★★"),
    ("Informed Consent",       "Voluntary, competent, informative. Age 12/18 yrs. Elements",                        "★★★★"),
    ("Privileged Communication","Confidentiality + exceptions (court, notifiable disease, public interest)",         "★★★★"),
    ("Vicarious Liability",    "Employer responsible for employee's negligence. Hospital liable for doctor",          "★★★"),
    ("Classify Poisons",       "Corrosive, irritant, systemic, neurotic. Homicidal poison qualities",                "★★★★"),
    ("Gastric Lavage",         "Within 4-6 hrs. Contraindications: corrosive, unconscious, HC ingestion",            "★★★"),
    ("OP Poisoning",           "SLUDGE signs. Miosis, bradycardia. Treatment: Atropine + PAM (before aging)",        "★★★★★"),
    ("Arsenic Poisoning",      "Garlic odour, Reinsch/Marsh test, rice-water stools, Mees lines, rain-drop pigment", "★★★★"),
    ("Lead Poisoning",         "Burton's line, wrist/foot drop, basophilic stippling, lead colic, encephalopathy",  "★★★"),
    ("Dhatura Poisoning",      "Anticholinergic: Dry/Red/Blind/Mad/Hot. MOA: ACh blockade. Antidote: Physostigmine","★★★★"),
    ("Alcohol (Widmark)",      "BAC = A/(r×W). r=0.7M/0.6F. Legal limit 30mg/100mL. McEwan's sign",                "★★★★"),
    ("Plant Poisons",          "Abrus precatorius (abrin), Semicarpus (vesicant), Croton tiglium, Nux vomica (strychnine)", "★★★★"),
    ("Cocaine Bugs",           "Formication/Magnon's symptom — tactile hallucination (insects under skin)",          "★★★"),
    ("Snake Bite",             "Poisonous vs non-poisonous diff. Neurotoxic (cobra/krait) vs haemotoxic (viper). Treatment: antivenom", "★★★"),
    ("Narcoanalysis/Polygraph","Narcoanalysis: sodium pentothal, not admissible alone (Selvi vs Karnataka 2010)",    "★★"),
    ("Locard's Principle",     "'Every contact leaves a trace' — basis of forensic science",                         "★★"),
]

status_dv4 = DataValidation(type="list",
    formula1='"✅ Done,🔄 In Progress,⏳ Not Started,⭐ Need Review"', allow_blank=True)
ws4.add_data_validation(status_dv4)
revised_dv4 = DataValidation(type="list",
    formula1='"✅ Yes,❌ No,🔄 Once"', allow_blank=True)
ws4.add_data_validation(revised_dv4)

for idx, (topic, subtopics, stars) in enumerate(fmt_topics, 1):
    r = idx + 3
    ws4.row_dimensions[r].height = 32
    row_bg = C["fmt_light"] if idx % 2 == 0 else C["white"]
    apply(ws4, r, 1, idx,       bg=row_bg, bold=True,  size=9)
    apply(ws4, r, 2, topic,     bg=row_bg, bold=True,  size=9, halign="left", wrap=True)
    apply(ws4, r, 3, subtopics, bg=row_bg, bold=False, size=8, halign="left", wrap=True, italic=True)
    star_bg = C["gold"] if "★★★★★" in stars else (C["fmt_light"] if "★★★★" in stars else C["grey_light"])
    apply(ws4, r, 4, stars,     bg=star_bg, bold=True, size=9, color=C["fmt_dark"] if "★★★★★" in stars else C["black"])

    sc = ws4.cell(row=r, column=5, value="⏳ Not Started")
    sc.font = font(size=9); sc.alignment = align(); sc.fill = fill(C["grey_light"]); sc.border = border()
    status_dv4.add(sc)

    rc = ws4.cell(row=r, column=6, value="❌ No")
    rc.font = font(size=9); rc.alignment = align(); rc.fill = fill(C["grey_light"]); rc.border = border()
    revised_dv4.add(rc)

# ═══════════════════════════════════════════════════════════
# SHEET 5 — DAILY LOG
# ═══════════════════════════════════════════════════════════
ws5 = wb.create_sheet("Daily Study Log")
ws5.sheet_view.showGridLines = False
ws5.column_dimensions["A"].width = 12
ws5.column_dimensions["B"].width = 14
ws5.column_dimensions["C"].width = 30
ws5.column_dimensions["D"].width = 30
ws5.column_dimensions["E"].width = 12
ws5.column_dimensions["F"].width = 20
ws5.column_dimensions["G"].width = 12

merge_apply(ws5, 1, 1, 1, 7,
    "📝  DAILY STUDY LOG — July 14 to August 3, 2026",
    bg=C["grey_hdr"], bold=True, color=C["white"], size=14)
merge_apply(ws5, 2, 1, 2, 7,
    "Log each day's actual study. Track hours, mood, and next-day priority.",
    bg=C["grey_mid"], bold=False, color=C["white"], size=9, italic=True)

hdrs5 = ["Date", "Day", "What I Studied (PSM)", "What I Studied (FMT)", "Study Hrs", "Mood / Energy", "Tomorrow's Priority"]
for ci, h in enumerate(hdrs5, 1):
    apply(ws5, 3, ci, h, bg=C["grey_hdr"], bold=True, color=C["white"], size=9, wrap=True)
ws5.row_dimensions[3].height = 28

import datetime
start_date = datetime.date(2026, 7, 14)
days_list = ["Tue","Wed","Thu","Fri","Sat","Sun","Mon"] * 3

mood_dv = DataValidation(type="list",
    formula1='"😊 Great,😐 Okay,😴 Tired,😤 Stressed,💪 Focused"', allow_blank=True)
ws5.add_data_validation(mood_dv)

for i in range(21):
    d = start_date + datetime.timedelta(days=i)
    day_name = d.strftime("%a")
    date_str = d.strftime("%b %d")
    r = i + 4
    ws5.row_dimensions[r].height = 28
    bg = C["revision_l"] if day_name in ("Sun", "Mon") else (C["exam_light"] if d >= datetime.date(2026, 8, 1) else C["grey_light"])
    apply(ws5, r, 1, date_str, bg=bg, bold=True, size=9)
    apply(ws5, r, 2, day_name, bg=bg, bold=False, size=9)
    apply(ws5, r, 3, "",       bg=bg, bold=False, size=9, halign="left")
    apply(ws5, r, 4, "",       bg=bg, bold=False, size=9, halign="left")
    apply(ws5, r, 5, "",       bg=bg, bold=False, size=9)

    mc = ws5.cell(row=r, column=6, value="😊 Great")
    mc.font = font(size=9); mc.alignment = align(); mc.fill = fill(bg); mc.border = border()
    mood_dv.add(mc)

    apply(ws5, r, 7, "", bg=bg, bold=False, size=9, halign="left")

# freeze panes
for ws in [ws2, ws3, ws4, ws5]:
    ws.freeze_panes = ws.cell(row=4, column=1)
ws1.freeze_panes = ws1.cell(row=4, column=1)

wb.save(OUTPUT)
print(f"Excel file created: {OUTPUT}")

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