NEET SS - General Medicine Group: 2-Month Preparation Guide

from reportlab.lib.pagesizes import A4
from reportlab.lib import colors
from reportlab.lib.units import mm
from reportlab.platypus import (
    SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle,
    HRFlowable, KeepTogether, PageBreak
)
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.enums import TA_LEFT, TA_CENTER
from reportlab.platypus import Frame, PageTemplate
from reportlab.pdfgen import canvas as pdfcanvas

OUTPUT = "/home/daytona/workspace/neet-ss-guide/NEET_SS_Medicine_Quick_Reference.pdf"

# ── Color Palette ──────────────────────────────────────────────────────────────
C_HEADER   = colors.HexColor("#1A3C5E")   # deep navy
C_SUBHDR   = colors.HexColor("#2E6DA4")   # medium blue
C_ACCENT   = colors.HexColor("#E8F4FD")   # light blue fill
C_WARN     = colors.HexColor("#FFF3CD")   # amber fill
C_RED_DARK = colors.HexColor("#C0392B")   # alert red
C_GREEN    = colors.HexColor("#1A6B3C")   # dark green
C_GRAY_LT  = colors.HexColor("#F5F5F5")
C_BORDER   = colors.HexColor("#B0C4DE")
C_TEXT     = colors.HexColor("#1A1A1A")
C_MUTED    = colors.HexColor("#555555")
C_TAG_BG   = colors.HexColor("#D6EAF8")

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

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

TITLE_STYLE = S("DocTitle",
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    fontName="Helvetica-Bold", leading=32, spaceAfter=4)

SUBTITLE_STYLE = S("DocSub",
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SEC_TITLE = S("SecTitle",
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CARD_HEADING = S("CardHead",
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CARD_BODY = S("CardBody",
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CARD_BULLET = S("CardBullet",
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CARD_KEY = S("CardKey",
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CARD_ALERT = S("CardAlert",
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    leading=11, leftIndent=10)

LABEL_STYLE = S("Label",
    fontSize=7, textColor=colors.white, fontName="Helvetica-Bold",
    leading=9, alignment=TA_CENTER)

PAGE_W, PAGE_H = A4
MARGIN = 14 * mm

# ── Helper: section header banner ─────────────────────────────────────────────
def section_banner(title, emoji_color):
    data = [[Paragraph(f"  {title}", SEC_TITLE)]]
    t = Table(data, colWidths=[PAGE_W - 2*MARGIN])
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        ("LEFTPADDING", (0,0), (-1,-1), 10),
        ("ROUNDEDCORNERS", [4]),
    ]))
    return t

# ── Helper: card ──────────────────────────────────────────────────────────────
def card(title, items, bg=C_ACCENT, width=None):
    """items = list of (type, text) where type in: 'bullet','key','alert','body'"""
    if width is None:
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        elif typ == "key":
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        ("RIGHTPADDING", (0,0), (-1,-1), 8),
        ("ROUNDEDCORNERS", [4]),
    ]))
    return t

# ── Helper: two-column layout ─────────────────────────────────────────────────
def two_col(left_items, right_items, spacer=4*mm):
    col_w = (PAGE_W - 2*MARGIN - spacer) / 2
    left_col  = [card(t, i, width=col_w) for (t,i) in left_items]
    right_col = [card(t, i, width=col_w) for (t,i) in right_items]

    # interleave with small spacers
    def col_flowables(cards):
        out = []
        for c in cards:
            out.append(c)
            out.append(Spacer(1, 3*mm))
        return out

    lf = col_flowables(left_col)
    rf = col_flowables(right_col)

    data = [[lf, rf]]
    t = Table(data, colWidths=[col_w, col_w])
    t.setStyle(TableStyle([
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        ("LEFTPADDING",  (0,0), (-1,-1), 0),
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        ("BOTTOMPADDING",(0,0), (-1,-1), 0),
        ("COLPADDING",   (0,0), (-1,-1), spacer/2),
    ]))
    return t

# ── Cover page canvas callback ─────────────────────────────────────────────────
def cover_bg(canvas, doc):
    canvas.saveState()
    # gradient-ish background using two rects
    canvas.setFillColor(C_HEADER)
    canvas.rect(0, 0, PAGE_W, PAGE_H, fill=1, stroke=0)
    canvas.setFillColor(C_SUBHDR)
    canvas.rect(0, PAGE_H*0.35, PAGE_W, PAGE_H*0.65, fill=1, stroke=0)
    # accent bar
    canvas.setFillColor(colors.HexColor("#F39C12"))
    canvas.rect(0, PAGE_H*0.35 - 4, PAGE_W, 8, fill=1, stroke=0)
    canvas.restoreState()

def normal_page(canvas, doc):
    canvas.saveState()
    # Header strip
    canvas.setFillColor(C_HEADER)
    canvas.rect(0, PAGE_H - 10*mm, PAGE_W, 10*mm, fill=1, stroke=0)
    canvas.setFont("Helvetica-Bold", 7)
    canvas.setFillColor(colors.white)
    canvas.drawString(MARGIN, PAGE_H - 6*mm, "NEET SS  |  General Medicine Group  |  Quick Reference Cards")
    # Footer
    canvas.setFillColor(C_HEADER)
    canvas.rect(0, 0, PAGE_W, 8*mm, fill=1, stroke=0)
    canvas.setFont("Helvetica", 7)
    canvas.setFillColor(colors.white)
    canvas.drawString(MARGIN, 3*mm, "For exam preparation use only  |  Always verify with latest guidelines")
    canvas.drawRightString(PAGE_W - MARGIN, 3*mm, f"Page {doc.page}")
    canvas.restoreState()

# ═══════════════════════════════════════════════════════════════════════════════
# CONTENT DATA
# ═══════════════════════════════════════════════════════════════════════════════

def build_story():
    story = []
    sp = lambda h=4: Spacer(1, h*mm)

    # ── COVER ──────────────────────────────────────────────────────────────────
    story.append(sp(55))
    story.append(Paragraph("NEET SS", TITLE_STYLE))
    story.append(Paragraph("General Medicine Group", TITLE_STYLE))
    story.append(sp(3))
    story.append(Paragraph("High-Yield Quick Reference Cards", SUBTITLE_STYLE))
    story.append(sp(2))
    story.append(Paragraph("Cardiology  •  Nephrology  •  Neurology  •  Endocrinology", SUBTITLE_STYLE))
    story.append(Paragraph("Gastroenterology  •  Haematology  •  Infectious Diseases  •  Rheumatology", SUBTITLE_STYLE))
    story.append(sp(8))

    # cover info box
    cover_data = [
        [Paragraph("How to Use This Document", S("ch", fontSize=10, textColor=C_HEADER, fontName="Helvetica-Bold", leading=14))],
        [Paragraph("★  Each card = one high-yield topic. Review card AFTER watching Marrow lecture.", CARD_BULLET)],
        [Paragraph("★  Highlighted items (★) = exam favorites / guideline numbers.", CARD_BULLET)],
        [Paragraph("!   Alert items (!) = common traps and negative markers.", CARD_BULLET)],
        [Paragraph("★  Use as a last-week rapid revision tool - not a replacement for full study.", CARD_BULLET)],
    ]
    ct = Table(cover_data, colWidths=[140*mm])
    ct.setStyle(TableStyle([
        ("BACKGROUND",   (0,0), (-1,-1), colors.HexColor("#EBF5FB")),
        ("BACKGROUND",   (0,0), (-1,0),  colors.HexColor("#D6EAF8")),
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        ("TOPPADDING",   (0,0), (-1,-1), 5),
        ("BOTTOMPADDING",(0,0), (-1,-1), 4),
        ("LEFTPADDING",  (0,0), (-1,-1), 10),
    ]))
    story.append(ct)
    story.append(PageBreak())

    # ══════════════════════════════════════════════════════════════════════════
    # 1. CARDIOLOGY
    # ══════════════════════════════════════════════════════════════════════════
    story.append(section_banner("CARDIOLOGY  (~20% of paper)", colors.HexColor("#1A3C5E")))
    story.append(sp(3))

    left = [
        ("ACS - STEMI Management", [
            ("key", "Reperfusion: PCI within 90 min (door-to-balloon) if PCI-capable hospital"),
            ("key", "Fibrinolysis if PCI delay >120 min; within 12h of onset"),
            ("bullet", "Antiplatelet: Aspirin 325 mg STAT + Ticagrelor 180 mg (preferred) or Clopidogrel"),
            ("bullet", "Anticoagulation: UFH / Enoxaparin / Fondaparinux (avoid fondaparinux with PCI)"),
            ("bullet", "STEMI equivalent: New LBBB, Posterior MI (ST depression V1-V3)"),
            ("alert", "! Do NOT delay PCI for ECHO, troponins, or loading dose if already on antiplatelet"),
            ("key", "Door-to-needle (fibrinolysis): within 30 min"),
        ]),
        ("Heart Failure - GDMT (HFrEF)", [
            ("key", "4 pillars: ACEi/ARB/ARNI + BB + MRA + SGLT2i"),
            ("key", "ARNI (Sacubitril/Valsartan): superior to ACEi (PARADIGM-HF)"),
            ("key", "SGLT2i: Dapagliflozin (DAPA-HF) + Empagliflozin (EMPEROR) - reduce HF hospitalization"),
            ("bullet", "BB: Carvedilol / Bisoprolol / Metoprolol succinate ONLY"),
            ("bullet", "MRA: Spironolactone (EF <35%, NYHA II-IV, eGFR >30, K <5.0)"),
            ("bullet", "ICD: EF <35% on GDMT for >3 months, NYHA II-III"),
            ("alert", "! HFpEF: SGLT2i shown benefit; ACEi/BB NOT proven to reduce mortality"),
        ]),
    ]
    right = [
        ("ACS - NSTEMI/UA Management", [
            ("key", "Risk stratify: TIMI score, GRACE score"),
            ("key", "Early invasive (<24h): High risk (dynamic ST change, elevated troponin, GRACE >140)"),
            ("bullet", "Anticoagulation: Fondaparinux preferred (unless PCI planned, then UFH/bivalirudin)"),
            ("bullet", "Antiplatelet: Aspirin + Ticagrelor (preferred over Clopidogrel - PLATO trial)"),
            ("bullet", "Avoid GP IIb/IIIa routinely; use only as bailout during PCI"),
            ("alert", "! Morphine in ACS may decrease P2Y12 absorption - use cautiously"),
        ]),
        ("Atrial Fibrillation", [
            ("key", "Rate control target: <110 bpm (RACE II) in stable AF"),
            ("key", "Rhythm control: preferred in younger, symptomatic, AF <1yr (EAST-AFNET 4)"),
            ("bullet", "Rate control drugs: BB > CCB (diltiazem/verapamil) > Digoxin"),
            ("bullet", "Anticoagulation: CHA2DS2-VASc >=2 (men) / >=3 (women) -> OAC"),
            ("key", "DOACs preferred over warfarin (AF + non-valvular)"),
            ("bullet", "Valvular AF (rheumatic MS, mechanical valve): Warfarin only"),
            ("alert", "! CHADS2VASc 0 (men): no anticoagulation needed"),
        ]),
    ]
    story.append(two_col(left, right))
    story.append(sp(3))

    left2 = [
        ("Valvular Heart Disease - Intervention Criteria", [
            ("key", "Severe AS: AVA <1 cm2, mean gradient >40 mmHg, Vmax >4 m/s"),
            ("key", "Indications for AVR: Symptomatic severe AS (angina/syncope/dyspnea) OR EF <50%"),
            ("key", "TAVI vs SAVR: TAVI preferred in high/intermediate/low surgical risk (PARTNER 3)"),
            ("bullet", "Severe MR: Surgery when EF <60% OR LVESD >40 mm"),
            ("bullet", "Severe MS: MVA <1.5 cm2; PBMC if anatomy favorable (Wilkins score <=8)"),
            ("bullet", "AR: Surgery when EF <50% or LVESD >50 mm"),
            ("alert", "! Penicillin prophylaxis for RHD: 10 yrs or until age 40 (severe MR: lifelong)"),
        ]),
        ("Hypertension - Key Numbers", [
            ("key", "Target BP <130/80 mmHg in most patients (ACC/AHA 2017)"),
            ("key", "CKD + Albuminuria: ACEi or ARB first-line"),
            ("bullet", "Diabetes: <130/80 mmHg; ACEi/ARB preferred"),
            ("bullet", "HF: ACEi/ARB + BB; target <130/80"),
            ("bullet", "Resistant HTN: Add MRA (spironolactone) as 4th agent"),
            ("key", "Hypertensive crisis: IV labetalol / nicardipine / clevidipine"),
            ("alert", "! Lower BP by max 25% in first hour in hypertensive emergency"),
        ]),
    ]
    right2 = [
        ("Cardiomyopathies - Key Points", [
            ("key", "HCM: Asymmetric septal hypertrophy; SAM of MV; dynamic LVOT obstruction"),
            ("key", "HCM management: BB / Verapamil; Mavacamten (new - myosin inhibitor)"),
            ("bullet", "ICD in HCM: Septal thickness >=30mm, family h/o SCD, NSVT, EF <50%, unexplained syncope"),
            ("bullet", "Dilated CM: GDMT same as HFrEF; rule out reversible causes (alcohol, thyroid)"),
            ("bullet", "ARVC: Epsilon wave, T-wave inversion V1-V3; risk of SCD in athletes"),
            ("alert", "! HCM + AF: Anticoagulate regardless of CHA2DS2-VASc score"),
        ]),
        ("Landmark Trials - Cardiology", [
            ("key", "PARADIGM-HF: Sacubitril/Valsartan vs Enalapril - 20% RRR in CV death/HF hosp"),
            ("key", "DAPA-HF: Dapagliflozin - 26% RRR HF events (includes non-diabetics)"),
            ("key", "EMPEROR-Reduced: Empagliflozin - similar benefit in HFrEF"),
            ("key", "PLATO: Ticagrelor > Clopidogrel in ACS (all subtypes)"),
            ("key", "PARTNER 3: TAVI non-inferior to SAVR at low surgical risk at 2 years"),
            ("key", "EAST-AFNET 4: Early rhythm control reduces CV outcomes vs rate control"),
            ("key", "RACE II: Lenient rate control (<110) non-inferior to strict (<80) in AF"),
        ]),
    ]
    story.append(two_col(left2, right2))
    story.append(PageBreak())

    # ══════════════════════════════════════════════════════════════════════════
    # 2. NEPHROLOGY
    # ══════════════════════════════════════════════════════════════════════════
    story.append(section_banner("NEPHROLOGY  (~15% of paper)", colors.HexColor("#1A5276")))
    story.append(sp(3))

    left = [
        ("CKD - Staging & Management", [
            ("key", "KDIGO staging: G1-G5 (GFR) + A1-A3 (albuminuria) -> risk matrix"),
            ("key", "Slow progression: ACEi/ARB (especially if proteinuria >0.3g/day)"),
            ("key", "SGLT2i (Dapagliflozin - DAPA-CKD; Canagliflozin - CREDENCE) - all CKD with albuminuria"),
            ("key", "Target BP <130/80; target HbA1c <7% in diabetic CKD"),
            ("bullet", "Anaemia in CKD: ESA if Hb <10; iron before ESA if ferritin <500"),
            ("bullet", "CKD-MBD: Phosphate restriction, active Vit D; avoid Ca-based binders if high Ca"),
            ("alert", "! Finerenone (MRA) - FIDELIO-DKD trial: reduces CKD progression in DKD"),
        ]),
        ("Glomerulonephritis - KDIGO 2021", [
            ("key", "IgA Nephropathy: Proteinuria >1g/day - ACEi/ARB; >2g/day consider steroids (TESTING trial)"),
            ("key", "MN (Membranous): Anti-PLA2R antibody (70%); Cyclophosphamide+Steroids or Rituximab"),
            ("bullet", "Minimal Change Disease: Steroids 1mg/kg; Cyclophosphamide for frequent relapse"),
            ("bullet", "FSGS: High-dose steroids; Cyclosporine/Tacrolimus if steroid-resistant"),
            ("bullet", "Lupus Nephritis Class III/IV: MMF or Cyclophosphamide + Steroids"),
            ("key", "LN Class V (membranous): MMF + steroids; Belimumab/Voclosporin as add-on"),
            ("alert", "! RPGN: Pauci-immune (ANCA) - IV methylprednisolone + Cyclophosphamide/Rituximab"),
        ]),
    ]
    right = [
        ("AKI - KDIGO Criteria & Management", [
            ("key", "AKI Stage 1: Cr +0.3 mg/dL in 48h OR x1.5 baseline; UO <0.5 mL/kg/h for 6h"),
            ("key", "AKI Stage 3 OR oliguria/anuria: consider RRT"),
            ("bullet", "RRT Indications: AEIOU - Acidosis (pH<7.1), Electrolytes (K>6.5), Intoxication, Overload, Uraemia"),
            ("bullet", "Contrast nephropathy prevention: IV NS pre/post; N-acetylcysteine (debated)"),
            ("bullet", "Hepatorenal Syndrome: Terlipressin + Albumin (Type 1 HRS - acute)"),
            ("alert", "! Do NOT use NSAID, aminoglycosides, contrast in CKD eGFR <30"),
        ]),
        ("Electrolyte Disorders", [
            ("key", "Hyponatremia: SIADH - fluid restriction; severe symptomatic - 3% NaCl (1-2 ml/kg/h)"),
            ("key", "Correct Na no faster than 8-10 mEq/L per 24h (risk: osmotic demyelination)"),
            ("bullet", "SIADH diagnosis: serum Na <135, serum Osm <275, urine Osm >100, urine Na >40"),
            ("key", "Hyperkalemia >6.5 or ECG changes: IV Calcium gluconate FIRST (cardiac protection)"),
            ("bullet", "Then: Insulin+Glucose, Salbutamol, Bicarb, dialysis"),
            ("bullet", "Hypercalcemia: IV saline + Furosemide; Bisphosphonates (Zoledronic acid) for malignancy"),
            ("alert", "! Hypokalaemia + Hypomagnesaemia: Replace Mg first (K replacement will fail)"),
        ]),
    ]
    story.append(two_col(left, right))
    story.append(PageBreak())

    # ══════════════════════════════════════════════════════════════════════════
    # 3. NEUROLOGY
    # ══════════════════════════════════════════════════════════════════════════
    story.append(section_banner("NEUROLOGY  (~15% of paper)", colors.HexColor("#1B4F72")))
    story.append(sp(3))

    left = [
        ("Acute Ischemic Stroke", [
            ("key", "IV Alteplase (tPA): within 4.5 hours of onset; dose 0.9 mg/kg (max 90mg)"),
            ("key", "Thrombectomy: within 24h if large vessel occlusion + salvageable penumbra (DAWN/DEFUSE-3)"),
            ("bullet", "BP target before tPA: <185/110 mmHg"),
            ("bullet", "BP after tPA: maintain <180/105 for 24h"),
            ("bullet", "Antiplatelet: Aspirin 325 mg within 24-48h (not within 24h of tPA)"),
            ("key", "Dual antiplatelet (Aspirin + Clopidogrel): minor stroke/TIA for 21 days (POINT/CHANCE)"),
            ("alert", "! tPA contraindications: Recent surgery <14d, BP >185/110 uncontrolled, INR >1.7, platelets <100k"),
        ]),
        ("Epilepsy - Drug Selection", [
            ("key", "Focal seizures: Carbamazepine / Levetiracetam / Lamotrigine"),
            ("key", "Generalised (absence): Ethosuximide (first-line), Valproate, Lamotrigine"),
            ("key", "Generalised tonic-clonic: Valproate (most effective), Levetiracetam, Lamotrigine"),
            ("alert", "! Valproate: AVOID in women of childbearing age (teratogenic - neural tube defects)"),
            ("bullet", "Status Epilepticus: Lorazepam -> Phenytoin/Levetiracetam -> Phenobarb -> Propofol/Midazolam"),
            ("bullet", "Refractory SE: Ketamine, Isoflurane (4th line)"),
            ("key", "Drug-induced seizures: Isoniazid -> give Pyridoxine (B6)"),
        ]),
    ]
    right = [
        ("Meningitis - Empirical Treatment", [
            ("key", "Bacterial meningitis: Ceftriaxone 2g IV q12h + Vancomycin + Dexamethasone"),
            ("key", "Dexamethasone: 0.15 mg/kg q6h x4 days - start BEFORE or with first antibiotic dose"),
            ("bullet", "Add Ampicillin if age >50, immunocompromised (Listeria coverage)"),
            ("bullet", "HSV encephalitis: IV Acyclovir 10 mg/kg q8h x14-21 days"),
            ("bullet", "Cryptococcal meningitis (HIV): Amphotericin B + Flucytosine induction, then Fluconazole"),
            ("alert", "! LP contraindicated if papilledema, focal neuro signs - do CT first"),
            ("key", "CSF in bacterial: high protein (>45), low glucose (<45, CSF:serum <0.4), neutrophils"),
        ]),
        ("Neurodegenerative Diseases", [
            ("key", "Parkinson's: Dopaminergic deficit substantia nigra; Lewy bodies (alpha-synuclein)"),
            ("key", "Parkinson's treatment: Levodopa+Carbidopa (most effective); MAO-B inhibitors (early/mild)"),
            ("bullet", "Motor complications (on-off): Add COMT inhibitor (Entacapone) or dopamine agonist"),
            ("bullet", "Dementia with Lewy Bodies: Parkinsonism + Dementia + Visual hallucinations + REM sleep disorder"),
            ("alert", "! DLB: Antipsychotics CONTRAINDICATED (neuroleptic hypersensitivity - fatal)"),
            ("bullet", "Alzheimer's: AChE inhibitors (Donepezil, Rivastigmine) + Memantine (moderate-severe)"),
            ("key", "FTD: Behavioral variant - frontal/temporal atrophy; No proven disease-modifying therapy"),
        ]),
    ]
    story.append(two_col(left, right))
    story.append(sp(3))

    left2 = [
        ("GBS, MG, NMO - Highlights", [
            ("key", "GBS: Ascending paralysis post-infection (Campylobacter most common); Albumin-cytologic dissociation"),
            ("key", "GBS treatment: IVIG or Plasmapheresis (equal efficacy); NOT steroids"),
            ("bullet", "MG: Fatigable weakness, ptosis, diplopia; AChR Ab (85%), anti-MuSK (10%)"),
            ("bullet", "MG crisis treatment: Plasmapheresis / IVIG + Neostigmine; ventilatory support"),
            ("key", "NMO (Devic): Anti-AQP4 antibody; optic neuritis + transverse myelitis; area postrema lesions"),
            ("bullet", "NMO prevention: Rituximab / Eculizumab / Inebilizumab"),
            ("alert", "! NMO vs MS: NMO - long spinal cord lesion (>3 segments), responds poorly to MS drugs"),
        ]),
    ]
    right2 = [
        ("Stroke - Secondary Prevention", [
            ("key", "Cardioembolic (AF): Anticoagulation (DOAC) - start 2-14 days after stroke"),
            ("key", "Atherosclerotic stroke: Antiplatelet; Statin (LDL <70 mg/dL); BP control"),
            ("bullet", "PFO closure: Consider if cryptogenic stroke age <60 (CLOSE, REDUCE, RESPECT trials)"),
            ("bullet", "Carotid stenosis: CEA if 70-99% symptomatic; beneficial if >50% with high surgical risk"),
            ("bullet", "ICH management: BP target SBP <140 mmHg within 1h (INTERACT 2)"),
            ("alert", "! Anticoagulation reversal in ICH: Idarucizumab for Dabigatran; Andexanet for Factor Xa inhibitors"),
        ]),
    ]
    story.append(two_col(left2, right2))
    story.append(PageBreak())

    # ══════════════════════════════════════════════════════════════════════════
    # 4. ENDOCRINOLOGY
    # ══════════════════════════════════════════════════════════════════════════
    story.append(section_banner("ENDOCRINOLOGY  (~12% of paper)", colors.HexColor("#1A5276")))
    story.append(sp(3))

    left = [
        ("Diabetes - ADA 2025 Highlights", [
            ("key", "HbA1c targets: <7% general; <8% elderly/frail/limited life expectancy"),
            ("key", "1st line: Metformin STILL preferred; but consider SGLT2i/GLP1-RA if ASCVD/HF/CKD"),
            ("key", "SGLT2i: preferred if CKD (eGFR>20), HFrEF, established ASCVD"),
            ("key", "GLP-1 RA: preferred if weight loss needed, ASCVD, MAFLD"),
            ("bullet", "DKA: pH<7.3, HCO3<15, glucose>250, ketonemia"),
            ("bullet", "DKA insulin: Start only after K >=3.5 mEq/L"),
            ("alert", "! SGLT2i: pause 3-5 days before surgery (risk euglycemic DKA)"),
            ("key", "HHS: glucose >600, Osm >320, minimal ketones, no acidosis; slower correction"),
        ]),
        ("Thyroid Disorders", [
            ("key", "Graves' disease: TSH low, T3/T4 high, TSH-R Ab positive, diffuse goiter, eye signs"),
            ("key", "Definitive treatment: Radioiodine (most common in USA) or Surgery"),
            ("bullet", "Antithyroid drugs: Carbimazole / PTU; PTU preferred in pregnancy 1st trimester"),
            ("bullet", "Thyroid storm: Propylthiouracil + SSKI + Propranolol + Steroids + Supportive"),
            ("key", "Hypothyroidism in pregnancy: Target TSH <2.5 mIU/L (1st trimester); increase LT4 dose by 30% on conception"),
            ("bullet", "Sick euthyroid syndrome: Low T3 (most sensitive), normal/low T4, normal TSH - do NOT treat"),
            ("alert", "! Amiodarone: Causes both hypo and hyperthyroidism; contains 37% iodine"),
        ]),
    ]
    right = [
        ("Adrenal Disorders", [
            ("key", "Cushing's workup: 24h UFC -> low-dose DST -> if +ve, high-dose DST/ACTH levels"),
            ("key", "ACTH-dependent Cushing's: pituitary (Cushing's disease) vs ectopic ACTH (small cell lung)"),
            ("bullet", "Addison's disease: Primary adrenal insufficiency; raised ACTH, low cortisol, hyperkalemia, hyponatremia"),
            ("key", "Addisonian crisis: IV Hydrocortisone 100mg q8h + IV saline; do NOT wait for test results"),
            ("key", "Conn's syndrome (Primary Hyperaldosteronism): HTN + hypokalemia + metabolic alkalosis; Aldosterone:Renin ratio >30"),
            ("bullet", "Phaeochromocytoma workup: 24h urine metanephrines (best); Alpha-block FIRST before surgery"),
            ("alert", "! Phaeo surgery: Alpha-blockade (phenoxybenzamine) BEFORE beta-blockade (never BB first)"),
        ]),
        ("Pituitary & SIADH vs DI", [
            ("key", "SIADH: Serum Na <135, Serum Osm <275, Urine Osm >100, Urine Na >40, euvolemic"),
            ("key", "SIADH causes: CNS disease, pulmonary (SCLC), drugs (SSRIs, Carbamazepine, Cyclophosphamide)"),
            ("bullet", "Central DI: Low ADH; responds to Desmopressin; Urine Osm rises after DDAVP"),
            ("bullet", "Nephrogenic DI: ADH normal/high; no response to DDAVP; treat with thiazides, NSAIDs"),
            ("key", "Water deprivation test distinguishes DI from psychogenic polydipsia"),
            ("bullet", "MEN 1: Pituitary + Parathyroid + Pancreas (3 P's)"),
            ("bullet", "MEN 2A: Phaeo + Medullary thyroid Ca + Hyperparathyroidism; RET mutation"),
            ("alert", "! MEN 2B: Phaeo + Medullary thyroid Ca + Marfanoid + Mucosal neuromas; most aggressive"),
        ]),
    ]
    story.append(two_col(left, right))
    story.append(PageBreak())

    # ══════════════════════════════════════════════════════════════════════════
    # 5. GASTROENTEROLOGY & HEPATOLOGY
    # ══════════════════════════════════════════════════════════════════════════
    story.append(section_banner("GASTROENTEROLOGY & HEPATOLOGY  (~12% of paper)", colors.HexColor("#0E6655")))
    story.append(sp(3))

    left = [
        ("Cirrhosis - Complication Management", [
            ("key", "SBP diagnosis: Ascitic PMN >=250 cells/mm3; treat even without culture"),
            ("key", "SBP treatment: Cefotaxime 2g IV q8h x5 days + IV Albumin (1.5g/kg day1, 1g/kg day3)"),
            ("key", "SBP prophylaxis: Norfloxacin if Protein <1.5g/dL OR prior SBP OR hepatic failure"),
            ("bullet", "Hepatic Encephalopathy: Lactulose (first-line) + Rifaximin (add-on/prevention)"),
            ("key", "HRS Type 1 (acute, rapid): Terlipressin + Albumin (CONFIRM trial)"),
            ("bullet", "Variceal bleed: Octreotide/Terlipressin + Ceftriaxone + Endoscopy within 12h"),
            ("alert", "! TIPS: Consider if 2nd variceal bleed or refractory ascites; CONTRAINDICATED if encephalopathy"),
        ]),
        ("Viral Hepatitis", [
            ("key", "HBV treatment: HBeAg+ with ALT elevated >2x ULN or HBV DNA >20,000 IU/mL"),
            ("key", "HBV drugs: Tenofovir (TDF/TAF) preferred; Entecavir alternative"),
            ("key", "HBsAg clearance = functional cure (goal of treatment)"),
            ("bullet", "HCV: Pan-genotypic regimen: Sofosbuvir/Velpatasvir x12 weeks; SVR = cure"),
            ("bullet", "HBV reactivation: Risk with rituximab, steroids, anti-TNF; prophylaxis with Entecavir"),
            ("key", "HDV coinfection: Worsens HBV; Peginterferon alfa + Bulevirtide (new drug)"),
            ("alert", "! HCV in pregnancy: No approved DAA; screen and treat postpartum"),
        ]),
    ]
    right = [
        ("IBD - Crohn's vs UC", [
            ("body", "<b>Crohn's Disease:</b> Skip lesions, transmural, any GI tract, non-caseating granulomas"),
            ("body", "<b>Ulcerative Colitis:</b> Continuous, mucosa only, starts rectum, no granulomas"),
            ("key", "Mild-moderate UC: Mesalazine (5-ASA) first-line"),
            ("key", "Moderate-severe: Steroids for induction; Biologics (infliximab, vedolizumab) for maintenance"),
            ("bullet", "Biologics in IBD: Anti-TNF (Infliximab, Adalimumab), Anti-integrin (Vedolizumab), Anti-IL12/23 (Ustekinumab)"),
            ("bullet", "Surgery indications in UC: Toxic megacolon, dysplasia/cancer, refractory disease"),
            ("alert", "! Toxic megacolon: Colon >6cm; IV steroids + bowel rest; surgery if no improvement in 48-72h"),
        ]),
        ("Autoimmune Liver Diseases", [
            ("key", "AIH: ANA/SMA positive (Type 1), Anti-LKM1 (Type 2); elevated IgG; interface hepatitis on biopsy"),
            ("key", "AIH treatment: Prednisolone + Azathioprine; remission in >80%"),
            ("key", "PBC: AMA positive (>95%); cholestatic LFTs; Ursodeoxycholic acid slows progression"),
            ("key", "PSC: p-ANCA; beaded bile ducts on MRCP; associated with IBD (UC >70%); no proven medical therapy"),
            ("bullet", "PSC: Cholangiocarcinoma risk 0.5-1.5%/year; colonoscopy annually (IBD surveillance)"),
            ("alert", "! PSC + new biliary stricture = rule out cholangiocarcinoma (CA 19-9, ERCP brushings)"),
            ("bullet", "Overlap syndrome (AIH + PBC): Treat AIH component with steroids"),
        ]),
    ]
    story.append(two_col(left, right))
    story.append(PageBreak())

    # ══════════════════════════════════════════════════════════════════════════
    # 6. HAEMATOLOGY
    # ══════════════════════════════════════════════════════════════════════════
    story.append(section_banner("HAEMATOLOGY  (~10% of paper)", colors.HexColor("#6C3483")))
    story.append(sp(3))

    left = [
        ("Anaemias - Diagnostic Algorithm", [
            ("key", "MCV <80 (Microcytic): Iron deficiency, Thalassemia, Sideroblastic, ACD"),
            ("key", "Iron deficiency: Low serum iron, LOW ferritin, HIGH TIBC"),
            ("key", "ACD (chronic disease): Low serum iron, HIGH ferritin, LOW TIBC - key differentiator"),
            ("key", "MCV 80-100 (Normocytic): ACD, Haemolytic, Aplastic, renal failure"),
            ("key", "MCV >100 (Macrocytic): B12/Folate deficiency, Hypothyroid, Drugs (Hydroxyurea, MTX), MDS"),
            ("bullet", "B12 deficiency: Subacute combined degeneration (dorsal + lateral columns)"),
            ("alert", "! Treat B12 deficiency BEFORE folate replacement (risk of precipitating SACD)"),
        ]),
        ("Leukaemia - Markers & Treatment", [
            ("key", "CML: BCR-ABL1 (Philadelphia chromosome t(9;22)); treat with Imatinib (1st-line TKI)"),
            ("key", "CML blast crisis: Add intensive chemotherapy; Allogeneic SCT"),
            ("bullet", "AML: t(15;17) = APL - treat with ATRA + Arsenic trioxide (NOT standard chemo)"),
            ("key", "APL (M3) emergency: Bleeding + DIC; ATRA must be started IMMEDIATELY (diagnosis even suspected)"),
            ("bullet", "ALL: Philadelphia+ ALL: TKI + chemotherapy + CNS prophylaxis; Allo-SCT"),
            ("key", "CLL: Asymptomatic - watch and wait; symptomatic - BTK inhibitor (Ibrutinib) or Venetoclax+Obinutuzumab"),
            ("alert", "! CLL + autoimmune haemolytic anaemia: Treat with steroids first, not chemotherapy"),
        ]),
    ]
    right = [
        ("Lymphoma - Key Facts", [
            ("key", "Hodgkin's Lymphoma: Reed-Sternberg cells (CD15+, CD30+); excellent prognosis"),
            ("bullet", "HL staging: Ann Arbor I-IV; B symptoms (fever, night sweats, weight loss >10%)"),
            ("key", "HL treatment: ABVD (Doxorubicin, Bleomycin, Vinblastine, Dacarbazine) - early stage"),
            ("bullet", "NHL: Most common = DLBCL (aggressive); Follicular lymphoma (indolent, CD10+, BCL2+, t(14;18))"),
            ("key", "DLBCL treatment: R-CHOP (Rituximab + CHOP chemotherapy)"),
            ("bullet", "Burkitt's: t(8;14), c-MYC; jaw tumor (endemic); aggressive, highly curable with intensive chemo"),
            ("alert", "! Tumour Lysis Syndrome: Aggressive lymphoma/leukemia post-chemo; Allopurinol/Rasburicase prophylaxis"),
        ]),
        ("Coagulation Disorders", [
            ("key", "DVT/PE: DOAC (Rivaroxaban / Apixaban) preferred for treatment (3-6 months)"),
            ("key", "Provoked PE: 3 months; Unprovoked / cancer-related: 6 months or indefinitely"),
            ("bullet", "Heparin-induced Thrombocytopenia (HIT): Platelet fall >50% on day 5-10 of heparin; 4T score"),
            ("key", "HIT management: STOP all heparin; start Argatroban or Fondaparinux (NOT warfarin initially)"),
            ("key", "TTP: Pentad (Microangiopathic haemolysis, thrombocytopenia, fever, renal, neuro); ADAMTS13 <10%"),
            ("bullet", "TTP treatment: Plasma exchange (DAILY) + steroids + Caplacizumab (new)"),
            ("alert", "! DIC: Treat underlying cause FIRST; give FFP, platelets, cryoprecipitate for active bleeding"),
        ]),
    ]
    story.append(two_col(left, right))
    story.append(PageBreak())

    # ══════════════════════════════════════════════════════════════════════════
    # 7. INFECTIOUS DISEASES
    # ══════════════════════════════════════════════════════════════════════════
    story.append(section_banner("INFECTIOUS DISEASES  (~8% of paper)", colors.HexColor("#7D6608")))
    story.append(sp(3))

    left = [
        ("HIV Management", [
            ("key", "ART initiation: ALL patients regardless of CD4 count (INSIGHT START trial)"),
            ("key", "Preferred 1st-line: TDF/FTC/DTG (Tenofovir + Emtricitabine + Dolutegravir)"),
            ("bullet", "OI prophylaxis: PCP <200 CD4 (TMP-SMX); MAC <50 CD4 (Azithromycin); Toxoplasma <100 (TMP-SMX)"),
            ("bullet", "Cryptococcal prophylaxis: Fluconazole if CD4 <100"),
            ("key", "Immune Reconstitution Syndrome (IRIS): Paradoxical worsening after ART start; treat with steroids"),
            ("alert", "! Abacavir: Test HLA-B*5701 before use (hypersensitivity risk)"),
            ("alert", "! Efavirenz: Avoid in pregnancy 1st trimester (teratogenic) - use DTG instead"),
        ]),
        ("Sepsis - Surviving Sepsis 2021", [
            ("key", "Sepsis-3 definition: Life-threatening organ dysfunction (SOFA +2) due to infection"),
            ("key", "Septic shock: Sepsis + vasopressors to maintain MAP >=65 + lactate >2 mmol/L"),
            ("key", "Hour-1 bundle: Blood cultures -> antibiotics within 1h -> IV fluids 30mL/kg if hypotension/lactate >4"),
            ("bullet", "Vasopressor of choice: Noradrenaline (norepinephrine) first-line"),
            ("bullet", "Add Vasopressin if NE dose >0.25 mcg/kg/min (steroid-sparing effect)"),
            ("key", "IV Hydrocortisone 200mg/day: if septic shock not responding to fluids + vasopressors"),
            ("alert", "! Do NOT delay antibiotics for cultures - each hour delay increases mortality by ~7%"),
        ]),
    ]
    right = [
        ("Infective Endocarditis", [
            ("key", "Duke Criteria: 2 major OR 1 major + 3 minor OR 5 minor = definite IE"),
            ("key", "Major criteria: Positive blood culture (2 sets) + Echo evidence (vegetation/abscess/dehiscence)"),
            ("bullet", "Common organisms: S. aureus (acute, IV drug use), Streptococcus viridans (subacute, dental), HACEK (culture-negative)"),
            ("key", "Empirical treatment (native valve): Flucloxacillin + Gentamicin (MRSA risk: add Vancomycin)"),
            ("bullet", "Surgery indications: Heart failure, abscess/fistula, recurrent embolism, persistent bacteremia"),
            ("alert", "! New AV block in aortic valve IE = perivalvular extension/abscess; surgical emergency"),
        ]),
        ("Tuberculosis & Malaria", [
            ("key", "TB DOTS: RHEZ x2m (Rifampicin, INH, Ethambutol, Pyrazinamide) then RH x4m"),
            ("key", "Drug-resistant TB: MDR-TB (resistant R+H) - Bedaquiline-based regimen 6-9 months"),
            ("bullet", "TB meningitis: Steroids (Dexamethasone) reduce mortality; treat 12 months"),
            ("key", "Falciparum malaria: Artemisinin-based combination therapy (ACT) - Artesunate + partner drug"),
            ("key", "Severe malaria: IV Artesunate (preferred over Quinine in adults)"),
            ("bullet", "Vivax/Ovale: Chloroquine + Primaquine (radical cure of liver hypnozoites); check G6PD first"),
            ("alert", "! Check G6PD before Primaquine (causes haemolysis in G6PD deficiency)"),
        ]),
    ]
    story.append(two_col(left, right))
    story.append(PageBreak())

    # ══════════════════════════════════════════════════════════════════════════
    # 8. RHEUMATOLOGY
    # ══════════════════════════════════════════════════════════════════════════
    story.append(section_banner("RHEUMATOLOGY  (~5% of paper)", colors.HexColor("#922B21")))
    story.append(sp(3))

    left = [
        ("SLE - ACR/EULAR 2019 Criteria", [
            ("key", "Entry criterion: ANA >=1:80 (highly sensitive, 98%)"),
            ("key", "Scoring domains: Constitutional, haematological, neuropsychiatric, mucocutaneous, serosal, musculoskeletal, renal, immunological"),
            ("key", "Score >=10 = SLE (with positive ANA as entry)"),
            ("bullet", "Lupus nephritis class III/IV (proliferative): MMF or IV Cyclophosphamide + steroids"),
            ("key", "New add-on therapies: Belimumab (B-lymphocyte stimulator blocker), Voclosporin (calcineurin inhibitor for LN)"),
            ("bullet", "Hydroxychloroquine: ALL SLE patients (reduces flares, thrombosis, mortality)"),
            ("alert", "! Anti-dsDNA: Best for monitoring disease activity; Anti-Sm: Most specific for SLE"),
        ]),
        ("Rheumatoid Arthritis", [
            ("key", "ACR/EULAR 2010 criteria: Joints + Serology (RF/anti-CCP) + Acute phase reactants + Duration >=6wks; score >=6"),
            ("key", "Anti-CCP: Most specific for RA (95%); also predicts erosive disease"),
            ("key", "Treat to target: DAS28 < 2.6 (remission) or <3.2 (low disease activity)"),
            ("bullet", "First-line DMARD: Methotrexate (MTX) - gold standard; add folic acid"),
            ("key", "Biologic add-on if MTX fails: Anti-TNF (Adalimumab/Etanercept) OR JAK inhibitors (Baricitinib/Tofacitinib)"),
            ("alert", "! Felty's syndrome: RA + Splenomegaly + Neutropenia; increased infection risk"),
        ]),
    ]
    right = [
        ("Vasculitides - Classification", [
            ("key", "Large vessel: Takayasu (young women, aorta), Giant Cell Arteritis (>50yr, temporal artery, ESR>50)"),
            ("key", "GCA treatment: Prednisolone 1mg/kg/day; Tocilizumab as steroid-sparing agent"),
            ("bullet", "Medium vessel: PAN (ANCA negative, HBV-associated), Kawasaki (children)"),
            ("key", "Small vessel ANCA+: GPA (c-ANCA/PR3), MPA (p-ANCA/MPO), EGPA (Eosinophilic, asthma, p-ANCA)"),
            ("key", "ANCA vasculitis treatment: Cyclophosphamide + steroids (induction); Rituximab equivalent (RAVE trial)"),
            ("bullet", "Maintenance: Azathioprine or Rituximab for 18-24 months"),
            ("alert", "! GCA: Temporal artery biopsy - do NOT delay steroids for biopsy result (start if high suspicion)"),
        ]),
        ("Crystal Arthropathies", [
            ("key", "Gout: Urate crystals (negatively birefringent, needle-shaped) in synovial fluid"),
            ("key", "Acute gout: NSAIDs (first-line) OR Colchicine OR Steroids"),
            ("key", "Urate-lowering therapy: Start AFTER acute attack resolves; target SUA <6 mg/dL"),
            ("bullet", "Allopurinol: Check HLA-B*5801 in Han Chinese/Thai (SJS risk)"),
            ("bullet", "Febuxostat: Alternative to Allopurinol; avoid in CVD (CARES trial mortality signal)"),
            ("bullet", "CPPD (pseudogout): Calcium pyrophosphate crystals (positively birefringent, rhomboid)"),
            ("alert", "! Renal impairment: Reduce Colchicine dose; avoid NSAIDs; Allopurinol dose adjustment per eGFR"),
        ]),
    ]
    story.append(two_col(left, right))
    story.append(sp(4))

    # ── Final tips card ────────────────────────────────────────────────────────
    tips_data = [
        [Paragraph("EXAM STRATEGY REMINDERS", S("ts", fontSize=10, textColor=C_HEADER,
            fontName="Helvetica-Bold", leading=14))],
        [Paragraph("★  Guidelines > Old textbook editions - ACC/AHA 2023, ADA 2025, KDIGO 2021, AASLD, ACR/EULAR 2019 are heavily tested.", CARD_KEY)],
        [Paragraph("★  Landmark trials: Know the trial name, drug, and RESULT (not just that it was 'positive').", CARD_KEY)],
        [Paragraph("!   First-line vs preferred vs contraindicated: These 3 categories produce ~40% of MCQ options.", CARD_ALERT)],
        [Paragraph("★  Diagnostic criteria numbers: Learn exact thresholds (CD4 counts, SOFA score, Duke criteria, SLE score, etc.).", CARD_KEY)],
        [Paragraph("!   Negative markers: Know what NOT to give (NSAIDs in CKD, antipsychotics in DLB, BB before alpha-block in phaeo, etc.).", CARD_ALERT)],
        [Paragraph("★  Marrow QBank: Use 'High Yield' + 'Repeat questions' filter in the final 3 weeks. Aim for 75%+ accuracy before exam.", CARD_KEY)],
    ]
    tips_t = Table(tips_data, colWidths=[PAGE_W - 2*MARGIN])
    tips_t.setStyle(TableStyle([
        ("BACKGROUND",   (0,0), (-1,-1), colors.HexColor("#EBF5FB")),
        ("BACKGROUND",   (0,0), (-1,0),  colors.HexColor("#D6EAF8")),
        ("BOX",          (0,0), (-1,-1), 1, C_BORDER),
        ("TOPPADDING",   (0,0), (-1,-1), 5),
        ("BOTTOMPADDING",(0,0), (-1,-1), 4),
        ("LEFTPADDING",  (0,0), (-1,-1), 10),
    ]))
    story.append(tips_t)

    return story


# ═══════════════════════════════════════════════════════════════════════════════
# BUILD
# ═══════════════════════════════════════════════════════════════════════════════

def build():
    doc = SimpleDocTemplate(
        OUTPUT,
        pagesize=A4,
        leftMargin=MARGIN, rightMargin=MARGIN,
        topMargin=16*mm, bottomMargin=14*mm,
        title="NEET SS General Medicine Quick Reference",
        author="Orris",
    )

    story = build_story()

    # Page templates
    frame_cover = Frame(0, 0, PAGE_W, PAGE_H, id='cover')
    frame_normal = Frame(MARGIN, 10*mm, PAGE_W - 2*MARGIN, PAGE_H - 20*mm, id='normal')

    doc.build(
        story,
        onFirstPage=cover_bg,
        onLaterPages=normal_page,
    )
    print(f"PDF saved to: {OUTPUT}")

build()

"""
NEET SS General Medicine - 60-Day Countdown Study Tracker
Sheets:
  1. Dashboard     - countdown, overall progress, subject-wise progress bars
  2. Daily Tracker - day-by-day log (date, subject, topics, Marrow Qs, mock score, status)
  3. Subject Progress - per-subject completion and accuracy
  4. Mock Test Log - mock test scores and analysis
  5. Weak Topics   - running list of weak areas flagged during study
"""

import openpyxl
from openpyxl import Workbook
from openpyxl.styles import (
    Font, PatternFill, Alignment, Border, Side, GradientFill
)
from openpyxl.utils import get_column_letter
from openpyxl.chart import BarChart, Reference, LineChart
from openpyxl.chart.series import DataPoint
from openpyxl.formatting.rule import ColorScaleRule, DataBarRule, FormulaRule, CellIsRule
from openpyxl.worksheet.datavalidation import DataValidation
from datetime import date, timedelta
import copy

wb = Workbook()

# ── Palette ────────────────────────────────────────────────────────────────────
NAVY       = "1A3C5E"
BLUE       = "2E6DA4"
LIGHT_BLUE = "D6EAF8"
SKY        = "EBF5FB"
GREEN      = "1A6B3C"
LIGHT_GRN  = "D5F5E3"
AMBER      = "F39C12"
AMBER_LT   = "FEF9E7"
RED        = "C0392B"
RED_LT     = "FADBD8"
PURPLE     = "6C3483"
PURPLE_LT  = "E8DAEF"
TEAL       = "0E6655"
TEAL_LT    = "D1F2EB"
WHITE      = "FFFFFF"
GRAY       = "F2F3F4"
GRAY_MID   = "BDC3C7"
GRAY_DARK  = "717D7E"
GOLD       = "D4AC0D"

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

def font(bold=False, size=11, color="1A1A1A", italic=False, name="Arial"):
    return Font(name=name, bold=bold, size=size, color=color, italic=italic)

def border(style="thin", color="BDC3C7"):
    s = Side(style=style, color=color)
    return Border(left=s, right=s, top=s, bottom=s)

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

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

def write(ws, row, col, value, fnt=None, fl=None, aln=None, brd=None):
    c = ws.cell(row=row, column=col, value=value)
    if fnt: c.font = fnt
    if fl:  c.fill = fl
    if aln: c.alignment = aln
    if brd: c.border = brd
    return c

START_DATE = date(2026, 6, 27)

# 60-day timetable (day, week, subject, topics, textbook_ref)
TIMETABLE = []

week_plans = [
    # Week 1: Cardiology
    [(1,1,"Cardiology","ACS - STEMI Management, Thrombolysis, PCI protocols","Harrison's + Braunwald Ch 56-57"),
     (2,1,"Cardiology","ACS - NSTEMI/UA, Risk Stratification, Antiplatelets","Braunwald Ch 56-57"),
     (3,1,"Cardiology","Heart Failure - GDMT, HFrEF vs HFpEF, Device therapy","Braunwald Ch 58"),
     (4,1,"Cardiology","Valvular Heart Disease - AS, MR, MS, AR + intervention criteria","Braunwald Ch 67"),
     (5,1,"Cardiology","Arrhythmias - AF management, SVT, VT, Channelopathies","Braunwald Ch 65-66"),
     (6,1,"Cardiology","Cardiomyopathies, Pericardial disease, HTN + Dyslipidaemia","Braunwald Ch 69-70"),
     (7,1,"Cardiology - REVISION","Cardiology Full Subject Test + Review of wrong answers","Full chapter review"),],
    # Week 2: Nephrology
    [(8,2,"Nephrology","AKI - KDIGO criteria, causes, management, RRT indications","Harrison's Ch 306-307"),
     (9,2,"Nephrology","CKD - Staging, progression, SGLT2i in CKD (CREDENCE/DAPA-CKD)","Brenner Ch 57"),
     (10,2,"Nephrology","Glomerulonephritis - KDIGO 2021, IgAN, MN, MCD, FSGS","Brenner Ch 30-31"),
     (11,2,"Nephrology","Sodium disorders - Hypo/Hypernatraemia, SIADH algorithm","Harrison's Ch 55"),
     (12,2,"Nephrology","Potassium, Calcium, Magnesium disorders + Acid-base","Harrison's Ch 55"),
     (13,2,"Nephrology","Dialysis modalities, Transplant basics, Renal tubular acidosis","Brenner Ch 63"),
     (14,2,"Nephrology - REVISION","Nephrology Subject Test + Review all wrongs","Full chapter review"),],
    # Week 3: Neurology
    [(15,3,"Neurology","Stroke - tPA criteria, thrombectomy window, NIHSS","Adams Ch 34"),
     (16,3,"Neurology","Stroke secondary prevention, PFO closure, ICH management","Adams Ch 34"),
     (17,3,"Neurology","Epilepsy - drug selection table, Status Epilepticus protocol","Adams Ch 16"),
     (18,3,"Neurology","CNS Infections - Bacterial meningitis, HSV encephalitis, Crypto","Adams Ch 32"),
     (19,3,"Neurology","Dementia syndromes - AD, DLB, FTD, Vascular; Movement disorders","Adams Ch 39-40"),
     (20,3,"Neurology","GBS, Myasthenia Gravis, NMO, MS","Adams Ch 46-47"),
     (21,3,"Neurology - REVISION","Neurology Subject Test + Review","Full chapter review"),],
    # Week 4: Endocrinology + Haematology
    [(22,4,"Endocrinology","Diabetes - ADA 2025, Drug selection algorithms, SGLT2i/GLP1-RA","Williams Ch 33"),
     (23,4,"Endocrinology","DKA, HHS management; Hypoglycaemia unawareness","Harrison's Ch 417"),
     (24,4,"Endocrinology","Thyroid - Graves', Hashimoto, thyroid storm, hypothyroid in pregnancy","Williams Ch 11-12"),
     (25,4,"Endocrinology","Adrenal - Cushing's, Addison's, Conn's, Phaeochromocytoma","Williams Ch 15-16"),
     (26,4,"Endocrinology","Pituitary - DI vs SIADH, MEN syndromes, Carcinoid; Endocrinology QBank","Williams Ch 9"),
     (27,4,"Haematology","Anaemias - Iron deficiency, ACD, B12/Folate, Haemolytic","Williams Haem Ch 11-15"),
     (28,4,"Haematology","MDS, Aplastic Anaemia - diagnostic criteria, treatment","Williams Haem Ch 35"),],
    # Week 5 continuation
    [(29,5,"Haematology","Leukaemias - AML (APL), CML, ALL, CLL; targeted therapy markers","Williams Haem Ch 87-92"),
     (30,5,"Haematology","Lymphoma - Hodgkin's vs NHL, staging, chemotherapy regimens","Williams Haem Ch 103"),
     (31,5,"Haematology","Coagulation - DVT/PE (DOACs), HIT, TTP/HUS, DIC","Williams Haem Ch 129"),
     (32,5,"Gastroenterology","Cirrhosis complications - SBP, HRS, HE, Variceal bleed","Sleisenger Ch 74-76"),
     (33,5,"Gastroenterology","Viral hepatitis - HBV treatment, HCV DAA regimens, HBV reactivation","Sleisenger Ch 80"),
     (34,5,"Gastroenterology","IBD - CD vs UC, biologic agents, surgical indications","Sleisenger Ch 116"),
     (35,5,"Gastroenterology","NAFLD/NASH, Autoimmune hepatitis, PBC/PSC + GI bleed","Sleisenger Ch 87"),],
    # Week 6: Infectious Diseases + Rheumatology
    [(36,6,"Infectious Diseases","HIV - ART initiation, OI prophylaxis, IRIS, drug interactions","Mandell Ch 121"),
     (37,6,"Infectious Diseases","Sepsis - Surviving Sepsis 2021 bundle, vasopressors, corticosteroids","Harrison's Ch 297"),
     (38,6,"Infectious Diseases","Infective Endocarditis - Duke criteria, treatment, surgery indications","Mandell Ch 80"),
     (39,6,"Infectious Diseases","TB - DOTS regimen, MDR-TB, TB meningitis","Mandell Ch 251"),
     (40,6,"Infectious Diseases","Malaria, Typhoid, Fungal infections, Antimicrobials stewardship","Mandell Ch 259"),
     (41,6,"Rheumatology","SLE - ACR/EULAR 2019 criteria, LN treatment, Belimumab","Kelley Ch 78"),
     (42,6,"Rheumatology","RA - treat-to-target, DMARDs, Biologics, JAK inhibitors","Kelley Ch 70"),],
    # Week 7: Revision Phase 1
    [(43,7,"REVISION","Cardiology rapid revision - Marrow notes, no new reading","Marrow flashcards"),
     (44,7,"REVISION","Nephrology rapid revision + Electrolytes","Marrow flashcards"),
     (45,7,"REVISION","Neurology rapid revision","Marrow flashcards"),
     (46,7,"REVISION","Endocrinology rapid revision","Marrow flashcards"),
     (47,7,"REVISION","GI/Hepatology + ID rapid revision","Marrow flashcards"),
     (48,7,"REVISION","Haematology + Rheumatology rapid revision","Marrow flashcards"),
     (49,7,"MOCK TEST 1","Full-length Mock Test 1 (Marrow) + Analysis","Marrow platform"),],
    # Week 8: Targeted weak areas + advances
    [(50,8,"WEAK AREAS","Weak subject 1 targeted revision (from Mock 1 analysis)","Textbook + Marrow"),
     (51,8,"WEAK AREAS","Weak subject 2 targeted revision","Textbook + Marrow"),
     (52,8,"WEAK AREAS","Weak subject 3 targeted revision","Textbook + Marrow"),
     (53,8,"RECENT ADVANCES","2023-2025 Landmark Trials: EMPEROR, CREDENCE, DAPA-HF/CKD, ANNEXA-4","Marrow + UpToDate"),
     (54,8,"RECENT ADVANCES","Guidelines update: ADA 2025, ACC/AHA, KDIGO 2021, AASLD","Guideline documents"),
     (55,8,"MOCK TEST 2","Full-length Mock Test 2 + Detailed Analysis","Marrow platform"),
     (56,8,"MOCK TEST 2","Mock 2 analysis - subject-wise accuracy, flag weak Qs","Marrow platform"),],
    # Week 9: Final revision
    [(57,9,"FINAL REVISION","High-yield only - Marrow 'Important' tags, Cardiology + Nephrology","Marrow"),
     (58,9,"MOCK TEST 3","Full-length Mock Test 3","Marrow platform"),
     (59,9,"FINAL REVISION","Neurology + Endocrinology rapid fire","Marrow notes"),
     (60,9,"MOCK TEST 4","Full-length Mock Test 4 + Final review of wrong answers","Marrow platform"),],
]

for wk in week_plans:
    for entry in wk:
        TIMETABLE.append(entry)

SUBJECTS = [
    "Cardiology","Nephrology","Neurology","Endocrinology",
    "Gastroenterology","Haematology","Infectious Diseases","Rheumatology",
    "REVISION","MOCK TEST","RECENT ADVANCES","WEAK AREAS","FINAL REVISION"
]

SUBJECT_COLORS = {
    "Cardiology":          (NAVY,       LIGHT_BLUE),
    "Nephrology":          ("1A5276",   "D6EAF8"),
    "Neurology":           ("1B4F72",   "D6EAF8"),
    "Endocrinology":       ("0E6655",   "D1F2EB"),
    "Gastroenterology":    ("145A32",   "D5F5E3"),
    "Haematology":         (PURPLE,     PURPLE_LT),
    "Infectious Diseases": ("7D6608",   "FCF3CF"),
    "Rheumatology":        ("922B21",   "FADBD8"),
    "REVISION":            ("1A6B3C",   "D5F5E3"),
    "MOCK TEST":           ("B7950B",   "FEF9E7"),
    "RECENT ADVANCES":     ("6C3483",   "E8DAEF"),
    "WEAK AREAS":          ("C0392B",   "FADBD8"),
    "FINAL REVISION":      ("1B2631",   "EAECEE"),
}

# ══════════════════════════════════════════════════════════════════════════════
# SHEET 1: DASHBOARD
# ══════════════════════════════════════════════════════════════════════════════
ws_dash = wb.active
ws_dash.title = "Dashboard"
ws_dash.sheet_properties.tabColor = NAVY
ws_dash.freeze_panes = None

# column widths
for col, w in [(1,3),(2,22),(3,14),(4,14),(5,14),(6,14),(7,14),(8,3)]:
    ws_dash.column_dimensions[get_column_letter(col)].width = w

# row heights
for r in range(1, 80):
    ws_dash.row_dimensions[r].height = 18

# ── Title Banner ──────────────────────────────────────────────────────────────
ws_dash.merge_cells("B1:G1")
ws_dash.row_dimensions[1].height = 10

ws_dash.merge_cells("B2:G2")
c = ws_dash["B2"]
c.value = "NEET SS  |  General Medicine Group"
c.font = Font(name="Arial", bold=True, size=20, color=WHITE)
c.fill = fill(NAVY)
c.alignment = align("center")
ws_dash.row_dimensions[2].height = 38

ws_dash.merge_cells("B3:G3")
c = ws_dash["B3"]
c.value = "60-Day Study Countdown Tracker  •  June 27 – August 25, 2026"
c.font = Font(name="Arial", size=11, color=WHITE, italic=True)
c.fill = fill(BLUE)
c.alignment = align("center")
ws_dash.row_dimensions[3].height = 22

for row in range(1,4):
    for col in range(1,9):
        ws_dash.cell(row=row, column=col).fill = fill(NAVY if row < 4 else WHITE)

# ── Countdown box ─────────────────────────────────────────────────────────────
ws_dash.row_dimensions[5].height = 16
ws_dash.row_dimensions[6].height = 40
ws_dash.row_dimensions[7].height = 22
ws_dash.row_dimensions[8].height = 16
ws_dash.row_dimensions[9].height = 30
ws_dash.row_dimensions[10].height = 30

ws_dash.merge_cells("B5:D5")
c = ws_dash["B5"]
c.value = "DAYS REMAINING"
c.font = font(bold=True, size=9, color=GRAY_DARK)
c.alignment = align("center")

ws_dash.merge_cells("B6:D6")
c = ws_dash["B6"]
c.value = '=MAX(0,DATE(2026,8,25)-TODAY())'
c.font = Font(name="Arial", bold=True, size=32, color=RED)
c.fill = fill(RED_LT)
c.alignment = align("center")
c.border = border("medium", RED)

ws_dash.merge_cells("B7:D7")
c = ws_dash["B7"]
c.value = "days until exam  (target: Aug 25, 2026)"
c.font = font(size=8, color=GRAY_DARK, italic=True)
c.alignment = align("center")

ws_dash.merge_cells("E5:G5")
c = ws_dash["E5"]
c.value = "OVERALL COMPLETION"
c.font = font(bold=True, size=9, color=GRAY_DARK)
c.alignment = align("center")

ws_dash.merge_cells("E6:G6")
c = ws_dash["E6"]
c.value = "=IFERROR(COUNTIF('Daily Tracker'!H2:H61,\"Done\")/60,0)"
c.number_format = "0.0%"
c.font = Font(name="Arial", bold=True, size=32, color=GREEN)
c.fill = fill(LIGHT_GRN)
c.alignment = align("center")
c.border = border("medium", GREEN)

ws_dash.merge_cells("E7:G7")
c = ws_dash["E7"]
c.value = "of 60 days completed"
c.font = font(size=8, color=GRAY_DARK, italic=True)
c.alignment = align("center")

# ── Stats row ─────────────────────────────────────────────────────────────────
ws_dash.row_dimensions[9].height = 20
ws_dash.row_dimensions[10].height = 30
ws_dash.row_dimensions[11].height = 18

def stat_box(ws, row, col_start, col_end, label, formula, num_fmt, fc, bc):
    ws.merge_cells(start_row=row, start_column=col_start, end_row=row, end_column=col_end)
    c = ws.cell(row=row, column=col_start, value=label)
    c.font = font(bold=True, size=8, color=GRAY_DARK)
    c.alignment = align("center")
    ws.merge_cells(start_row=row+1, start_column=col_start, end_row=row+1, end_column=col_end)
    c2 = ws.cell(row=row+1, column=col_start, value=formula)
    c2.font = Font(name="Arial", bold=True, size=18, color=fc)
    c2.fill = fill(bc)
    c2.alignment = align("center")
    c2.number_format = num_fmt
    return c2

stat_box(ws_dash, 9, 2, 3, "DONE DAYS", '=COUNTIF(\'Daily Tracker\'!H2:H61,"Done")', "0", GREEN, LIGHT_GRN)
stat_box(ws_dash, 9, 4, 5, "SKIPPED", '=COUNTIF(\'Daily Tracker\'!H2:H61,"Skipped")', "0", RED, RED_LT)
stat_box(ws_dash, 9, 6, 7, "TOTAL Qs ATTEMPTED", '=IFERROR(SUM(\'Daily Tracker\'!F2:F61),0)', "#,##0", BLUE, LIGHT_BLUE)

# ── Subject progress table ────────────────────────────────────────────────────
ws_dash.row_dimensions[13].height = 20
ws_dash.merge_cells("B13:G13")
c = ws_dash["B13"]
c.value = "SUBJECT-WISE PROGRESS"
c.font = font(bold=True, size=11, color=WHITE)
c.fill = fill(NAVY)
c.alignment = align("center")

headers = ["Subject", "Planned Days", "Done", "Avg Marrow Qs/Day", "Completion %", "Status"]
col_widths = [22, 14, 8, 18, 14, 12]
for i, (h, cw) in enumerate(zip(headers, col_widths)):
    c = ws_dash.cell(row=14, column=i+2, value=h)
    c.font = font(bold=True, size=9, color=WHITE)
    c.fill = fill(BLUE)
    c.alignment = align("center")

ws_dash.row_dimensions[14].height = 20

MAIN_SUBJECTS = [
    ("Cardiology",         7, NAVY,       LIGHT_BLUE),
    ("Nephrology",         7, "1A5276",   "D6EAF8"),
    ("Neurology",          7, "1B4F72",   "D6EAF8"),
    ("Endocrinology",      5, "0E6655",   "D1F2EB"),
    ("Haematology",        5, PURPLE,     PURPLE_LT),
    ("Gastroenterology",   5, "145A32",   "D5F5E3"),
    ("Infectious Diseases",5, "7D6608",   "FCF3CF"),
    ("Rheumatology",       3, "922B21",   "FADBD8"),
    ("REVISION",           6, "1A6B3C",   "D5F5E3"),
    ("MOCK TEST",          4, "B7950B",   "FEF9E7"),
    ("Recent Adv/Weak",    3, "6C3483",   "E8DAEF"),
]

for i, (subj, planned, fc, bc) in enumerate(MAIN_SUBJECTS):
    r = 15 + i
    ws_dash.row_dimensions[r].height = 22

    # Subject name
    c = ws_dash.cell(row=r, column=2, value=subj)
    c.font = Font(name="Arial", bold=True, size=9, color=fc)
    c.fill = fill(bc)
    c.alignment = align("left")

    # Planned days
    c = ws_dash.cell(row=r, column=3, value=planned)
    c.font = font(size=9)
    c.alignment = align("center")

    # Done formula - count from Daily Tracker where subject matches and status=Done
    done_formula = f'=COUNTIFS(\'Daily Tracker\'!D2:D61,B{r},\'Daily Tracker\'!H2:H61,"Done")'
    c = ws_dash.cell(row=r, column=4, value=done_formula)
    c.font = font(size=9, color=GREEN)
    c.alignment = align("center")

    # Avg Qs
    avg_q = f'=IFERROR(AVERAGEIFS(\'Daily Tracker\'!F2:F61,\'Daily Tracker\'!D2:D61,B{r},\'Daily Tracker\'!H2:H61,"Done"),0)'
    c = ws_dash.cell(row=r, column=5, value=avg_q)
    c.font = font(size=9)
    c.number_format = "0.0"
    c.alignment = align("center")

    # Completion %
    pct = f'=IFERROR(D{r}/C{r},0)'
    c = ws_dash.cell(row=r, column=6, value=pct)
    c.font = font(size=9, bold=True)
    c.number_format = "0%"
    c.alignment = align("center")

    # Status
    status_formula = f'=IF(F{r}>=1,"Complete",IF(F{r}>0,"In Progress","Not Started"))'
    c = ws_dash.cell(row=r, column=7, value=status_formula)
    c.font = font(size=8)
    c.alignment = align("center")

# Conditional formatting for completion %
from openpyxl.formatting.rule import ColorScaleRule
ws_dash.conditional_formatting.add(
    f"F15:F{15+len(MAIN_SUBJECTS)-1}",
    ColorScaleRule(
        start_type="num", start_value=0, start_color="FADBD8",
        mid_type="num", mid_value=0.5, mid_color="FEF9E7",
        end_type="num", end_value=1, end_color="D5F5E3"
    )
)

# ── Mock test summary ─────────────────────────────────────────────────────────
mr = 15 + len(MAIN_SUBJECTS) + 2
ws_dash.row_dimensions[mr].height = 20
ws_dash.merge_cells(f"B{mr}:G{mr}")
c = ws_dash.cell(row=mr, column=2, value="MOCK TEST SCORES  (from Mock Test Log sheet)")
c.font = font(bold=True, size=11, color=WHITE)
c.fill = fill("B7950B")
c.alignment = align("center")

for i, (label, col) in enumerate([("Mock 1", "C"), ("Mock 2", "D"), ("Mock 3", "E"), ("Mock 4", "F")]):
    rr = mr + 1
    ws_dash.row_dimensions[rr].height = 22
    c = ws_dash.cell(row=rr, column=2+i*1+1-1+1, value=label)

mock_headers = ["Mock", "Date", "Score /200", "Correct %", "Rank (est.)", "Key Weak Area"]
for j, h in enumerate(mock_headers):
    c = ws_dash.cell(row=mr+1, column=j+2, value=h)
    c.font = font(bold=True, size=8, color=WHITE)
    c.fill = fill(AMBER)
    c.alignment = align("center")
    ws_dash.row_dimensions[mr+1].height = 18

for k in range(1,5):
    r = mr+1+k
    ws_dash.row_dimensions[r].height = 20
    ws_dash.cell(row=r, column=2, value=f"Mock {k}").font = font(bold=True, size=9)
    ws_dash.cell(row=r, column=3, value=f"='Mock Test Log'!B{k+1}").font = font(size=9)
    ws_dash.cell(row=r, column=4, value=f"='Mock Test Log'!C{k+1}").number_format = "0/200"
    ws_dash.cell(row=r, column=4).font = Font(name="Arial", bold=True, size=11, color=NAVY)
    ws_dash.cell(row=r, column=5, value=f"=IFERROR('Mock Test Log'!C{k+1}/200,\"-\")")
    ws_dash.cell(row=r, column=5).number_format = "0.0%"
    ws_dash.cell(row=r, column=6, value=f"='Mock Test Log'!E{k+1}").font = font(size=9)
    ws_dash.cell(row=r, column=7, value=f"='Mock Test Log'!F{k+1}").font = font(size=8, color=RED)

# ── Motivational footer ───────────────────────────────────────────────────────
fr = mr + 7
ws_dash.row_dimensions[fr].height = 8
ws_dash.row_dimensions[fr+1].height = 24
ws_dash.merge_cells(f"B{fr+1}:G{fr+1}")
c = ws_dash.cell(row=fr+1, column=2, value='="Day "&(61-MAX(0,DATE(2026,8,25)-TODAY()))&" of 60  |  "&TEXT(COUNTIF(\'Daily Tracker\'!H2:H61,"Done")/60,"0.0%")&" complete  |  "&MAX(0,DATE(2026,8,25)-TODAY())&" days to go  —  Keep going!"')
c.font = Font(name="Arial", italic=True, size=9, color=GRAY_DARK)
c.alignment = align("center")
c.fill = fill(GRAY)

# ══════════════════════════════════════════════════════════════════════════════
# SHEET 2: DAILY TRACKER
# ══════════════════════════════════════════════════════════════════════════════
ws_daily = wb.create_sheet("Daily Tracker")
ws_daily.sheet_properties.tabColor = GREEN

# Freeze header row
ws_daily.freeze_panes = "A2"

# Column widths
col_widths_daily = [5, 8, 12, 22, 44, 12, 12, 12, 22, 30]
for i, w in enumerate(col_widths_daily, 1):
    ws_daily.column_dimensions[get_column_letter(i)].width = w

# Header
headers_daily = ["#", "Date", "Week", "Subject", "Topics Planned", "Marrow Qs Planned", "Marrow Qs Done", "Status", "Mock Score (if any)", "Notes / Weak Points Flagged"]
header_colors = [GRAY_DARK, NAVY, NAVY, NAVY, NAVY, BLUE, BLUE, GREEN, AMBER, PURPLE]

ws_daily.row_dimensions[1].height = 28
for j, (h, hc) in enumerate(zip(headers_daily, header_colors), 1):
    c = ws_daily.cell(row=1, column=j, value=h)
    c.font = Font(name="Arial", bold=True, size=9, color=WHITE)
    c.fill = fill(hc)
    c.alignment = align("center", wrap=True)
    c.border = border("medium", WHITE)

# Data validation for Status
dv_status = DataValidation(type="list", formula1='"Done,In Progress,Skipped,Holiday"', allow_blank=True)
dv_status.error = "Please select: Done, In Progress, Skipped, or Holiday"
dv_status.errorTitle = "Invalid Input"
dv_status.prompt = "Select status"
dv_status.promptTitle = "Status"
ws_daily.add_data_validation(dv_status)
dv_status.sqref = "H2:H61"

# Data rows
for idx, entry in enumerate(TIMETABLE):
    day_num, week_num, subject, topics, textbook = entry
    r = idx + 2
    d = START_DATE + timedelta(days=idx)
    ws_daily.row_dimensions[r].height = 22

    # Get subject color
    sc = SUBJECT_COLORS.get(subject, (GRAY_DARK, GRAY))
    dark_c, light_c = sc

    # determine planned Qs
    if "MOCK TEST" in subject:
        planned_qs = 200
    elif "REVISION" in subject or "FINAL REVISION" in subject:
        planned_qs = 50
    elif "RECENT ADVANCES" in subject or "WEAK AREAS" in subject:
        planned_qs = 40
    else:
        planned_qs = 35

    row_data = [
        day_num,
        d.strftime("%d %b %Y"),
        f"Week {week_num}",
        subject,
        topics,
        planned_qs,
        "",   # Marrow Qs Done - user fills
        "",   # Status - user fills
        "",   # Mock score - user fills
        "",   # Notes - user fills
    ]

    for j, val in enumerate(row_data, 1):
        c = ws_daily.cell(row=r, column=j, value=val)
        c.font = font(size=9)
        c.alignment = align("left" if j in [4,5,10] else "center", wrap=(j in [5,10]))
        c.border = border("thin", "D5D8DC")

        if j == 1:  # day number
            c.font = Font(name="Arial", bold=True, size=10, color=WHITE)
            c.fill = fill(dark_c)
            c.alignment = align("center")
        elif j == 4:  # subject
            c.font = Font(name="Arial", bold=True, size=9, color=dark_c)
            c.fill = fill(light_c)
        elif j == 5:  # topics
            c.font = font(size=8, color="2C3E50")
            c.alignment = align("left", wrap=True)
        elif j == 6:  # planned qs
            c.font = font(size=9, color=BLUE, bold=True)
            c.alignment = align("center")
        elif j == 2:  # date
            c.font = Font(name="Arial", bold=True, size=9, color=NAVY)

# Conditional formatting for Status column
ws_daily.conditional_formatting.add("H2:H61",
    CellIsRule(operator="equal", formula=['"Done"'],
               fill=fill(LIGHT_GRN), font=Font(name="Arial", bold=True, size=9, color=GREEN)))
ws_daily.conditional_formatting.add("H2:H61",
    CellIsRule(operator="equal", formula=['"Skipped"'],
               fill=fill(RED_LT), font=Font(name="Arial", bold=True, size=9, color=RED)))
ws_daily.conditional_formatting.add("H2:H61",
    CellIsRule(operator="equal", formula=['"In Progress"'],
               fill=fill(AMBER_LT), font=Font(name="Arial", bold=True, size=9, color=AMBER)))
ws_daily.conditional_formatting.add("H2:H61",
    CellIsRule(operator="equal", formula=['"Holiday"'],
               fill=fill(GRAY), font=Font(name="Arial", size=9, color=GRAY_DARK)))

# Conditional formatting for Marrow Qs Done vs Planned (column G vs F)
ws_daily.conditional_formatting.add("G2:G61",
    ColorScaleRule(
        start_type="num", start_value=0, start_color="FADBD8",
        mid_type="percentile", mid_value=50, mid_color="FEF9E7",
        end_type="num", end_value=200, end_color="D5F5E3"
    )
)

# ══════════════════════════════════════════════════════════════════════════════
# SHEET 3: SUBJECT PROGRESS
# ══════════════════════════════════════════════════════════════════════════════
ws_subj = wb.create_sheet("Subject Progress")
ws_subj.sheet_properties.tabColor = BLUE
ws_subj.freeze_panes = "A2"

subj_cols = [5, 22, 14, 14, 14, 18, 18, 22]
for i, w in enumerate(subj_cols, 1):
    ws_subj.column_dimensions[get_column_letter(i)].width = w

ws_subj.row_dimensions[1].height = 10
ws_subj.merge_cells("A2:H2")
c = ws_subj["A2"]
c.value = "SUBJECT-WISE COMPLETION & ACCURACY TRACKER"
c.font = Font(name="Arial", bold=True, size=14, color=WHITE)
c.fill = fill(NAVY)
c.alignment = align("center")
ws_subj.row_dimensions[2].height = 32

headers_subj = ["", "Subject", "Total Days", "Days Done", "% Complete", "Total Qs Done", "Avg Accuracy %", "Target Topics"]
for j, h in enumerate(headers_subj, 1):
    c = ws_subj.cell(row=3, column=j, value=h)
    c.font = font(bold=True, size=9, color=WHITE)
    c.fill = fill(BLUE)
    c.alignment = align("center")
ws_subj.row_dimensions[3].height = 22

SUBJ_DETAIL = [
    ("Cardiology",         7, "ACS, HF-GDMT, Valvular, AF, Cardiomyopathies, HTN, Landmark Trials"),
    ("Nephrology",         7, "AKI, CKD, Glomerulonephritis, Electrolytes, RTA, Transplant"),
    ("Neurology",          7, "Stroke, Epilepsy, Meningitis, Dementia, Movement, GBS/MG/NMO"),
    ("Endocrinology",      5, "Diabetes (ADA 2025), Thyroid, Adrenal, Pituitary, MEN"),
    ("Haematology",        5, "Anaemias, MDS, Aplastic, Leukaemias, Lymphoma, Coagulation"),
    ("Gastroenterology",   5, "Cirrhosis, Viral Hepatitis, IBD, Autoimmune liver, NAFLD"),
    ("Infectious Diseases",5, "HIV-ART, Sepsis, IE, TB, Malaria, Antimicrobials"),
    ("Rheumatology",       3, "SLE, RA, Vasculitis, Crystal arthropathies"),
]

for i, (subj, days, targets) in enumerate(SUBJ_DETAIL):
    r = 4 + i
    dark_c, light_c = SUBJECT_COLORS[subj]
    ws_subj.row_dimensions[r].height = 28

    # color swatch
    c = ws_subj.cell(row=r, column=1)
    c.fill = fill(dark_c)

    # subject
    c = ws_subj.cell(row=r, column=2, value=subj)
    c.font = Font(name="Arial", bold=True, size=10, color=dark_c)
    c.fill = fill(light_c)
    c.alignment = align("left")

    # total days
    c = ws_subj.cell(row=r, column=3, value=days)
    c.font = font(size=9, bold=True)
    c.alignment = align("center")

    # days done (from daily tracker)
    done_f = f'=COUNTIFS(\'Daily Tracker\'!D2:D61,B{r},\'Daily Tracker\'!H2:H61,"Done")'
    c = ws_subj.cell(row=r, column=4, value=done_f)
    c.font = font(size=10, bold=True, color=GREEN)
    c.alignment = align("center")

    # % complete
    c = ws_subj.cell(row=r, column=5, value=f"=IFERROR(D{r}/C{r},0)")
    c.font = font(size=10, bold=True)
    c.number_format = "0%"
    c.alignment = align("center")

    # total Qs done
    qs_f = f'=IFERROR(SUMIFS(\'Daily Tracker\'!G2:G61,\'Daily Tracker\'!D2:D61,B{r}),0)'
    c = ws_subj.cell(row=r, column=6, value=qs_f)
    c.font = font(size=9)
    c.number_format = "#,##0"
    c.alignment = align("center")

    # accuracy % (user can fill in)
    c = ws_subj.cell(row=r, column=7, value="")
    c.number_format = "0.0%"
    c.alignment = align("center")
    c.fill = fill(AMBER_LT)
    c.font = font(size=9, color=AMBER)

    # target topics
    c = ws_subj.cell(row=r, column=8, value=targets)
    c.font = font(size=8, color=GRAY_DARK, italic=True)
    c.alignment = align("left", wrap=True)

    for col in range(1, 9):
        ws_subj.cell(row=r, column=col).border = border("thin")

# Color scale on % complete
ws_subj.conditional_formatting.add(
    f"E4:E{4+len(SUBJ_DETAIL)-1}",
    ColorScaleRule(
        start_type="num", start_value=0, start_color="FADBD8",
        mid_type="num", mid_value=0.5, mid_color="FEF9E7",
        end_type="num", end_value=1, end_color="D5F5E3"
    )
)

# Accuracy input instructions
ws_subj.merge_cells(f"A{4+len(SUBJ_DETAIL)+2}:H{4+len(SUBJ_DETAIL)+2}")
c = ws_subj.cell(row=4+len(SUBJ_DETAIL)+2, column=1,
    value="  INSTRUCTIONS: Fill in 'Avg Accuracy %' (column G) manually after each subject's QBank session. Target: >70% before moving on.")
c.font = font(size=9, color=GRAY_DARK, italic=True)
c.fill = fill(AMBER_LT)

# ══════════════════════════════════════════════════════════════════════════════
# SHEET 4: MOCK TEST LOG
# ══════════════════════════════════════════════════════════════════════════════
ws_mock = wb.create_sheet("Mock Test Log")
ws_mock.sheet_properties.tabColor = AMBER

mock_col_widths = [5, 14, 14, 16, 16, 22, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 30]
for i, w in enumerate(mock_col_widths, 1):
    ws_mock.column_dimensions[get_column_letter(i)].width = w

ws_mock.row_dimensions[1].height = 10
ws_mock.merge_cells("A2:R2")
c = ws_mock["A2"]
c.value = "MOCK TEST LOG & SUBJECT-WISE ANALYSIS"
c.font = Font(name="Arial", bold=True, size=14, color=WHITE)
c.fill = fill("B7950B")
c.alignment = align("center")
ws_mock.row_dimensions[2].height = 32

mock_headers = [
    "", "Date", "Score /200", "% Correct", "Est. Rank",
    "Weakest Subject", "Time Taken (min)", "Cardiology %",
    "Nephrology %", "Neurology %", "Endocrinology %", "GI/Hepatology %",
    "Haematology %", "Infect. Dis. %", "Rheumatology %", "Avg Accuracy %",
    "Better than Mock?", "Action Plan"
]

ws_mock.row_dimensions[3].height = 30
for j, h in enumerate(mock_headers, 1):
    c = ws_mock.cell(row=3, column=j, value=h)
    c.font = font(bold=True, size=8, color=WHITE)
    c.fill = fill("B7950B")
    c.alignment = align("center", wrap=True)

for k in range(1, 5):
    r = 3 + k
    ws_mock.row_dimensions[r].height = 35
    # Mock number swatch
    c = ws_mock.cell(row=r, column=1)
    c.value = k
    c.font = Font(name="Arial", bold=True, size=14, color=WHITE)
    c.fill = fill(NAVY)
    c.alignment = align("center")

    # Mock label row
    ws_mock.cell(row=r, column=2, value="").number_format = "DD MMM YYYY"
    ws_mock.cell(row=r, column=3, value="").number_format = "0"

    # % correct
    c = ws_mock.cell(row=r, column=4, value=f"=IFERROR(C{r}/200,\"\")")
    c.number_format = "0.0%"
    c.font = Font(name="Arial", bold=True, size=12, color=NAVY)

    # Better than previous mock
    if k > 1:
        c = ws_mock.cell(row=r, column=17, value=f'=IF(C{r}="","",IF(C{r}>C{r-1},"YES ▲","NO ▼"))')
        c.font = font(size=10, bold=True)

    # Format all cells
    for j in range(1, 19):
        cc = ws_mock.cell(row=r, column=j)
        cc.border = border("thin")
        cc.alignment = align("center", wrap=(j==18))
        if j in range(8, 16):  # subject accuracy cells
            cc.fill = fill(LIGHT_BLUE)
            cc.number_format = "0%"

# Colour scale on score
ws_mock.conditional_formatting.add("C4:C7",
    ColorScaleRule(
        start_type="num", start_value=100, start_color="FADBD8",
        mid_type="num", mid_value=140, mid_color="FEF9E7",
        end_type="num", end_value=180, end_color="D5F5E3"
    )
)

# Target score box
ws_mock.row_dimensions[10].height = 20
ws_mock.merge_cells("B10:F10")
c = ws_mock["B10"]
c.value = "TARGET: Score > 140/200 (70%) by Mock 2 | > 160/200 (80%) by Mock 4"
c.font = font(bold=True, size=10, color=NAVY)
c.fill = fill(LIGHT_BLUE)
c.alignment = align("center")

# Best score tracker
ws_mock.row_dimensions[12].height = 20
ws_mock.merge_cells("B12:D12")
ws_mock.cell(row=12, column=2, value="Best Score So Far:").font = font(bold=True, size=10)
c = ws_mock.cell(row=12, column=3, value="=IFERROR(MAX(C4:C7),\"-\")")
c.font = Font(name="Arial", bold=True, size=16, color=GREEN)
c.fill = fill(LIGHT_GRN)
c.alignment = align("center")

ws_mock.merge_cells("E12:G12")
ws_mock.cell(row=12, column=5, value="Improvement (Mock4-Mock1):").font = font(bold=True, size=10)
c = ws_mock.cell(row=12, column=6, value="=IFERROR(C7-C4,\"-\")")
c.font = Font(name="Arial", bold=True, size=16, color=BLUE)
c.alignment = align("center")

# ══════════════════════════════════════════════════════════════════════════════
# SHEET 5: WEAK TOPICS LOG
# ══════════════════════════════════════════════════════════════════════════════
ws_weak = wb.create_sheet("Weak Topics Log")
ws_weak.sheet_properties.tabColor = RED

weak_col_widths = [5, 8, 22, 40, 16, 14, 30, 20]
for i, w in enumerate(weak_col_widths, 1):
    ws_weak.column_dimensions[get_column_letter(i)].width = w

ws_weak.row_dimensions[1].height = 10
ws_weak.merge_cells("A2:H2")
c = ws_weak["A2"]
c.value = "WEAK TOPICS TRACKER  —  Log every topic you get wrong more than twice"
c.font = Font(name="Arial", bold=True, size=13, color=WHITE)
c.fill = fill(RED)
c.alignment = align("center")
ws_weak.row_dimensions[2].height = 30

weak_headers = ["#", "Date Flagged", "Subject", "Weak Topic / Concept", "Times Wrong",
                "Priority", "Revision Action", "Resolved (date)"]
weak_hcols   = [GRAY_DARK, RED, RED, RED, RED, RED, PURPLE, GREEN]

ws_weak.row_dimensions[3].height = 22
for j, (h, hc) in enumerate(zip(weak_headers, weak_hcols), 1):
    c = ws_weak.cell(row=3, column=j, value=h)
    c.font = font(bold=True, size=9, color=WHITE)
    c.fill = fill(hc)
    c.alignment = align("center", wrap=True)

# Data validation for Priority
dv_priority = DataValidation(type="list", formula1='"High,Medium,Low"', allow_blank=True)
ws_weak.add_data_validation(dv_priority)
dv_priority.sqref = "F4:F53"

# Pre-fill some common weak areas as examples
example_weak = [
    ("Cardiology", "HFpEF treatment vs HFrEF differences", 0, "High", "Re-watch Marrow lecture on HF"),
    ("Nephrology", "SIADH vs DI vs Cerebral salt wasting", 0, "High", "Draw comparison table"),
    ("Neurology", "tPA contraindications complete list", 0, "High", "Flashcard all contraindications"),
    ("Haematology", "HIT - 4T score calculation", 0, "Medium", "Practice scoring with cases"),
    ("Endocrinology", "MEN syndrome components", 0, "Medium", "Mnemonics + Marrow QBank"),
]
for i, (subj, topic, times, priority, action) in enumerate(example_weak):
    r = 4 + i
    ws_weak.row_dimensions[r].height = 22
    ws_weak.cell(row=r, column=1, value=i+1).font = font(bold=True, size=9, color=GRAY_DARK)
    ws_weak.cell(row=r, column=2, value="").number_format = "DD MMM YYYY"
    ws_weak.cell(row=r, column=3, value=subj).font = Font(name="Arial", bold=True, size=9, color=SUBJECT_COLORS[subj][0])
    ws_weak.cell(row=r, column=3).fill = fill(SUBJECT_COLORS[subj][1])
    ws_weak.cell(row=r, column=4, value=topic).font = font(size=9)
    ws_weak.cell(row=r, column=5, value=times).font = font(size=9)
    ws_weak.cell(row=r, column=5).alignment = align("center")
    ws_weak.cell(row=r, column=6, value=priority).font = font(bold=True, size=9, color=RED if priority=="High" else AMBER)
    ws_weak.cell(row=r, column=7, value=action).font = font(size=8, italic=True)
    for col in range(1,9):
        ws_weak.cell(row=r, column=col).border = border("thin")

# Add 30 more blank rows
for i in range(5, 35):
    r = 4 + i
    ws_weak.row_dimensions[r].height = 20
    ws_weak.cell(row=r, column=1, value=i+1).font = font(size=8, color=GRAY_DARK)
    for col in range(2,9):
        ws_weak.cell(row=r, column=col).border = border("thin", "E8E8E8")
        ws_weak.cell(row=r, column=col).fill = fill(GRAY)

ws_weak.conditional_formatting.add("E4:E40",
    ColorScaleRule(
        start_type="num", start_value=0, start_color="FFFFFF",
        end_type="num", end_value=5, end_color="E74C3C"
    )
)
ws_weak.conditional_formatting.add("F4:F40",
    CellIsRule(operator="equal", formula=['"High"'],
               fill=fill(RED_LT), font=Font(name="Arial", bold=True, size=9, color=RED)))

# ══════════════════════════════════════════════════════════════════════════════
# SHEET 6: TIMETABLE OVERVIEW
# ══════════════════════════════════════════════════════════════════════════════
ws_tt = wb.create_sheet("Timetable Overview")
ws_tt.sheet_properties.tabColor = PURPLE

tt_col_widths = [5, 10, 12, 12, 24, 18, 22, 14]
for i, w in enumerate(tt_col_widths, 1):
    ws_tt.column_dimensions[get_column_letter(i)].width = w

ws_tt.merge_cells("A1:H1")
c = ws_tt["A1"]
c.value = "2-MONTH STUDY TIMETABLE OVERVIEW  |  June 27 – August 25, 2026"
c.font = Font(name="Arial", bold=True, size=14, color=WHITE)
c.fill = fill(NAVY)
c.alignment = align("center")
ws_tt.row_dimensions[1].height = 32

tt_headers = ["Day", "Date", "Week", "Phase", "Subject", "Topics", "Textbook Reference", "Planned Qs"]
for j, h in enumerate(tt_headers, 1):
    c = ws_tt.cell(row=2, column=j, value=h)
    c.font = font(bold=True, size=9, color=WHITE)
    c.fill = fill(NAVY)
    c.alignment = align("center", wrap=True)
ws_tt.row_dimensions[2].height = 22
ws_tt.freeze_panes = "A3"

PHASE_MAP = {
    1: "Deep Study", 2: "Deep Study", 3: "Deep Study", 4: "Deep Study",
    5: "Deep Study", 6: "Deep Study",
    7: "Revision 1", 8: "Targeted + Mocks", 9: "Final Sprint"
}

for idx, entry in enumerate(TIMETABLE):
    day_num, week_num, subject, topics, textbook = entry
    r = idx + 3
    d = START_DATE + timedelta(days=idx)
    dark_c, light_c = SUBJECT_COLORS.get(subject, (GRAY_DARK, GRAY))
    ws_tt.row_dimensions[r].height = 22

    phase = PHASE_MAP.get(week_num, "Final Sprint")

    if "MOCK TEST" in subject:
        planned_qs = 200
    elif "REVISION" in subject or "FINAL REVISION" in subject:
        planned_qs = 50
    elif "RECENT ADVANCES" in subject or "WEAK AREAS" in subject:
        planned_qs = 40
    else:
        planned_qs = 35

    vals = [day_num, d.strftime("%d %b"), f"Week {week_num}", phase, subject, topics, textbook, planned_qs]
    for j, val in enumerate(vals, 1):
        c = ws_tt.cell(row=r, column=j, value=val)
        c.font = font(size=9)
        c.border = border("thin", "D5D8DC")
        c.alignment = align("left" if j in [5,6,7] else "center", wrap=(j in [6,7]))

        if j == 1:
            c.font = Font(name="Arial", bold=True, size=10, color=WHITE)
            c.fill = fill(dark_c)
            c.alignment = align("center")
        elif j == 5:
            c.font = Font(name="Arial", bold=True, size=9, color=dark_c)
            c.fill = fill(light_c)
        elif j == 6:
            c.font = font(size=8, color="2C3E50")
        elif j == 7:
            c.font = font(size=7.5, color=GRAY_DARK, italic=True)

# ══════════════════════════════════════════════════════════════════════════════
# FINAL POLISH - set Dashboard as active sheet
# ══════════════════════════════════════════════════════════════════════════════
wb.active = ws_dash

# Print settings
for ws in [ws_dash, ws_daily, ws_subj, ws_mock, ws_weak, ws_tt]:
    ws.print_title_rows = "1:1"
    ws.page_setup.orientation = "landscape"
    ws.page_setup.fitToPage = True
    ws.page_setup.fitToWidth = 1

OUTPUT = "/home/daytona/workspace/neet-ss-guide/NEET_SS_60Day_Study_Tracker.xlsx"
wb.save(OUTPUT)
print(f"Saved: {OUTPUT}")

Successfully replaced 1 instance(s) of the string in '/home/daytona/workspace/neet-ss-guide/build_tracker.py'

Successfully replaced 1 instance(s) of the string in '/home/daytona/workspace/neet-ss-guide/build_tracker.py'

Error: String not found in file: 'OUTPUT = "/home/daytona/workspace/neet-ss-guide/NEET_SS_60Day_Study_Tracker.xlsx"'

"""
NEET SS – Week 1 Cardiology Reading Guide
Chapters to read from Harrison's 22E and Braunwald's Heart Disease
"""

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

PAGE_W, PAGE_H = A4
MARGIN = 14 * mm

# ── Palette ────────────────────────────────────────────────────────────────────
C_NAVY    = colors.HexColor("#1A3C5E")
C_BLUE    = colors.HexColor("#2E6DA4")
C_SKY     = colors.HexColor("#D6EAF8")
C_SKYLT   = colors.HexColor("#EBF5FB")
C_RED     = colors.HexColor("#C0392B")
C_REDLT   = colors.HexColor("#FADBD8")
C_GREEN   = colors.HexColor("#1A6B3C")
C_GREENLT = colors.HexColor("#D5F5E3")
C_AMBER   = colors.HexColor("#F39C12")
C_AMBERLT = colors.HexColor("#FEF9E7")
C_PURPLE  = colors.HexColor("#6C3483")
C_PURPLT  = colors.HexColor("#E8DAEF")
C_GRAY    = colors.HexColor("#F5F5F5")
C_GRAYMD  = colors.HexColor("#BDC3C7")
C_TEXT    = colors.HexColor("#1A1A1A")
C_MUTED   = colors.HexColor("#555555")
C_BRAUNW  = colors.HexColor("#7D0A0A")   # deep red for Braunwald
C_HARRIS  = colors.HexColor("#0A3D6B")   # deep blue for Harrison

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

TITLE_ST = S("T1", fontSize=22, fontName="Helvetica-Bold",
             textColor=colors.white, alignment=TA_CENTER, leading=28)
SUB_ST   = S("T2", fontSize=11, fontName="Helvetica",
             textColor=colors.HexColor("#AEDAF0"), alignment=TA_CENTER, leading=16)
SEC_ST   = S("Sec", fontSize=13, fontName="Helvetica-Bold",
             textColor=colors.white, alignment=TA_LEFT, leading=18)
BOOK_ST  = S("Book", fontSize=10, fontName="Helvetica-Bold",
             textColor=colors.white, alignment=TA_LEFT, leading=14)
CH_HEAD  = S("ChH", fontSize=10, fontName="Helvetica-Bold",
             textColor=C_NAVY, alignment=TA_LEFT, leading=14)
CH_BODY  = S("ChB", fontSize=8.5, fontName="Helvetica",
             textColor=C_TEXT, alignment=TA_LEFT, leading=12)
BULLET   = S("Bul", fontSize=8.5, fontName="Helvetica",
             textColor=C_TEXT, leading=12, leftIndent=10)
KEY_ST   = S("Key", fontSize=8, fontName="Helvetica-Bold",
             textColor=C_GREEN, leading=11, leftIndent=10)
ALERT_ST = S("Alt", fontSize=8, fontName="Helvetica-Bold",
             textColor=C_RED, leading=11, leftIndent=10)
TIP_ST   = S("Tip", fontSize=8, fontName="Helvetica",
             textColor=C_MUTED, leading=11, italic=True)
PG_HDR   = S("PgH", fontSize=7, fontName="Helvetica-Bold",
             textColor=colors.white, leading=10)
LABEL_ST = S("Lbl", fontSize=7.5, fontName="Helvetica-Bold",
             textColor=colors.white, alignment=TA_CENTER, leading=10)
DAY_ST   = S("Day", fontSize=9, fontName="Helvetica-Bold",
             textColor=C_NAVY, alignment=TA_CENTER, leading=12)
DAY_SUB  = S("DSub", fontSize=8, fontName="Helvetica",
             textColor=C_MUTED, alignment=TA_CENTER, leading=11)

def fill_table(data, col_widths, styles_list):
    t = Table(data, colWidths=col_widths)
    t.setStyle(TableStyle(styles_list))
    return t

def sp(h=3):
    return Spacer(1, h * mm)

def hr(color=C_GRAYMD, thickness=0.5):
    return HRFlowable(width="100%", thickness=thickness, color=color, spaceAfter=2)

# ── Page callbacks ─────────────────────────────────────────────────────────────
def cover_bg(c, doc):
    c.saveState()
    c.setFillColor(C_NAVY)
    c.rect(0, 0, PAGE_W, PAGE_H, fill=1, stroke=0)
    c.setFillColor(C_BLUE)
    c.rect(0, PAGE_H * 0.38, PAGE_W, PAGE_H * 0.62, fill=1, stroke=0)
    c.setFillColor(C_AMBER)
    c.rect(0, PAGE_H * 0.38 - 4, PAGE_W, 8, fill=1, stroke=0)
    c.restoreState()

def page_header_footer(c, doc):
    c.saveState()
    # header
    c.setFillColor(C_NAVY)
    c.rect(0, PAGE_H - 10 * mm, PAGE_W, 10 * mm, fill=1, stroke=0)
    c.setFont("Helvetica-Bold", 7)
    c.setFillColor(colors.white)
    c.drawString(MARGIN, PAGE_H - 6 * mm,
                 "NEET SS  |  Week 1 Cardiology  |  Harrison's 22E + Braunwald's Heart Disease")
    c.setFont("Helvetica", 7)
    c.drawRightString(PAGE_W - MARGIN, PAGE_H - 6 * mm, f"Page {doc.page}")
    # footer
    c.setFillColor(C_NAVY)
    c.rect(0, 0, PAGE_W, 8 * mm, fill=1, stroke=0)
    c.setFont("Helvetica", 7)
    c.setFillColor(colors.white)
    c.drawString(MARGIN, 3 * mm, "Study reading guide only  |  Prioritize ★ sections")
    c.drawRightString(PAGE_W - MARGIN, 3 * mm, "June 27 – July 3, 2026")
    c.restoreState()

# ══════════════════════════════════════════════════════════════════════════════
# CONTENT
# ══════════════════════════════════════════════════════════════════════════════

def section_banner(title, bg_color):
    data = [[Paragraph(f"  {title}", SEC_ST)]]
    t = Table(data, colWidths=[PAGE_W - 2 * MARGIN])
    t.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, -1), bg_color),
        ("TOPPADDING", (0, 0), (-1, -1), 8),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 8),
        ("LEFTPADDING", (0, 0), (-1, -1), 12),
    ]))
    return t

def book_banner(title, subtitle, bg_color):
    data = [
        [Paragraph(title, BOOK_ST)],
        [Paragraph(subtitle, S("BS2", fontSize=8, fontName="Helvetica",
                                textColor=colors.HexColor("#FFCCCC") if "Braunwald" in title
                                else colors.HexColor("#AEDAF0"), leading=11))],
    ]
    t = Table(data, colWidths=[PAGE_W - 2 * MARGIN])
    t.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, -1), bg_color),
        ("TOPPADDING", (0, 0), (-1, -1), 6),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 5),
        ("LEFTPADDING", (0, 0), (-1, -1), 12),
    ]))
    return t

def chapter_card(ch_num, ch_title, pages, day_label, priority,
                 sections, tips, width=None, book="harrison"):
    if width is None:
        width = PAGE_W - 2 * MARGIN

    bg = C_SKYLT if book == "harrison" else colors.HexColor("#FDF2F2")
    hdr_bg = C_SKY if book == "harrison" else colors.HexColor("#F5C6C6")
    bdr_color = C_BLUE if book == "harrison" else C_BRAUNW

    rows = []

    # Chapter header row
    col_w1 = 16 * mm
    col_w2 = width - col_w1 - 28 * mm
    col_w3 = 28 * mm

    # Priority badge color
    pri_colors = {
        "MUST READ": (C_RED, C_REDLT),
        "HIGH YIELD": (C_GREEN, C_GREENLT),
        "SKIM": (C_AMBER, C_AMBERLT),
        "REFERENCE": (colors.HexColor("#7D6608"), colors.HexColor("#FEF9E7")),
    }
    p_fg, p_bg = pri_colors.get(priority, (C_NAVY, C_SKY))

    hdr_data = [
        [
            Paragraph(f"Ch {ch_num}", S("CN", fontSize=14, fontName="Helvetica-Bold",
                                          textColor=C_HARRIS if book=="harrison" else C_BRAUNW,
                                          alignment=TA_CENTER, leading=18)),
            Paragraph(f"<b>{ch_title}</b><br/>"
                      f"<font size='8' color='#555555'>Pages {pages}</font>",
                      S("CT", fontSize=9.5, fontName="Helvetica-Bold",
                        textColor=C_TEXT, leading=13)),
            Paragraph(priority, S("PR", fontSize=7.5, fontName="Helvetica-Bold",
                                   textColor=p_fg, alignment=TA_CENTER, leading=11)),
        ]
    ]
    hdr_t = Table(hdr_data, colWidths=[col_w1, col_w2, col_w3])
    hdr_t.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, -1), hdr_bg),
        ("BACKGROUND", (2, 0), (2, 0), p_bg),
        ("VALIGN", (0, 0), (-1, -1), "MIDDLE"),
        ("TOPPADDING", (0, 0), (-1, -1), 7),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 7),
        ("LEFTPADDING", (0, 0), (-1, -1), 8),
        ("RIGHTPADDING", (0, 0), (-1, -1), 6),
        ("BOX", (0, 0), (-1, -1), 1, bdr_color),
    ]))

    # Day label badge
    day_data = [[
        Paragraph(f"📅 {day_label}", S("DL", fontSize=8, fontName="Helvetica-Bold",
                                        textColor=C_NAVY if book=="harrison" else C_BRAUNW,
                                        leading=11)),
    ]]
    day_t = Table(day_data, colWidths=[width])
    day_t.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, -1), bg),
        ("TOPPADDING", (0, 0), (-1, -1), 3),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 2),
        ("LEFTPADDING", (0, 0), (-1, -1), 10),
    ]))

    # Sections to read
    sec_rows = []
    for sec_title, sec_notes, must in sections:
        icon = "★" if must else "•"
        fc = C_GREEN if must else C_TEXT
        sec_rows.append([
            Paragraph(f"<font color='#{C_GREEN.hexval()[2:] if must else '555555'}'>{icon}</font> "
                      f"<b>{sec_title}</b>",
                      S("SR", fontSize=8.5, fontName="Helvetica-Bold" if must else "Helvetica",
                        textColor=fc, leading=12, leftIndent=8)),
            Paragraph(sec_notes, S("SN", fontSize=7.5, fontName="Helvetica",
                                    textColor=C_MUTED, leading=11, italic=True)),
        ])
    if sec_rows:
        sec_col_w = [width * 0.48, width * 0.52]
        sec_t = Table(sec_rows, colWidths=sec_col_w)
        sec_t.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),
            ("RIGHTPADDING", (0, 0), (-1, -1), 6),
            ("LINEBELOW", (0, 0), (-1, -2), 0.3, C_GRAYMD),
            ("BOX", (0, 0), (-1, -1), 0.5, bdr_color),
        ]))
    else:
        sec_t = None

    # Tips/exam focus row
    if tips:
        tip_data = [[
            Paragraph(f"<b>Exam Focus:</b>  {tips}",
                      S("TipRow", fontSize=7.5, fontName="Helvetica",
                        textColor=C_MUTED, leading=11, leftIndent=8)),
        ]]
        tip_t = Table(tip_data, colWidths=[width])
        tip_t.setStyle(TableStyle([
            ("BACKGROUND", (0, 0), (-1, -1), C_AMBERLT),
            ("TOPPADDING", (0, 0), (-1, -1), 4),
            ("BOTTOMPADDING", (0, 0), (-1, -1), 4),
            ("LEFTPADDING", (0, 0), (-1, -1), 10),
            ("BOX", (0, 0), (-1, -1), 0.5, C_AMBER),
        ]))
    else:
        tip_t = None

    parts = [hdr_t, day_t]
    if sec_t:
        parts.append(sec_t)
    if tip_t:
        parts.append(tip_t)

    outer_data = [[p] for p in parts]
    outer = Table(outer_data, colWidths=[width])
    outer.setStyle(TableStyle([
        ("TOPPADDING", (0, 0), (-1, -1), 0),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 0),
        ("LEFTPADDING", (0, 0), (-1, -1), 0),
        ("RIGHTPADDING", (0, 0), (-1, -1), 0),
        ("BOX", (0, 0), (-1, -1), 1.5, bdr_color),
    ]))
    return outer

# ══════════════════════════════════════════════════════════════════════════════
# STORY
# ══════════════════════════════════════════════════════════════════════════════

def build_story():
    story = []

    # ── Cover ──────────────────────────────────────────────────────────────────
    story.append(sp(50))
    story.append(Paragraph("NEET SS  ·  Week 1 Reading Guide", TITLE_ST))
    story.append(sp(2))
    story.append(Paragraph("CARDIOLOGY", S("T3", fontSize=28, fontName="Helvetica-Bold",
                                            textColor=C_AMBER, alignment=TA_CENTER, leading=34)))
    story.append(sp(3))
    story.append(Paragraph("Harrison's Principles of Internal Medicine 22E  +  Braunwald's Heart Disease",
                            SUB_ST))
    story.append(sp(1))
    story.append(Paragraph("June 27 – July 3, 2026  |  Day 1 – Day 7", SUB_ST))
    story.append(sp(10))

    # cover legend box
    legend_data = [
        [Paragraph("<b>How to Use This Guide</b>",
                   S("LH", fontSize=10, fontName="Helvetica-Bold",
                     textColor=C_NAVY, leading=14))],
        [Paragraph("★  <b>Starred sections</b> = MUST READ for NEET SS. These are directly exam-tested.",
                   BULLET)],
        [Paragraph("•  <b>Bullet sections</b> = Read if time permits; helps conceptual understanding.",
                   BULLET)],
        [Paragraph("<b>Exam Focus</b> boxes (amber) = Specific facts, numbers, and criteria to memorise.",
                   BULLET)],
        [Paragraph("<b>Priority labels:</b>  MUST READ &gt; HIGH YIELD &gt; SKIM &gt; REFERENCE",
                   BULLET)],
        [Paragraph("Workflow: Marrow lecture first → then read the marked sections → attempt QBank.",
                   BULLET)],
        [Paragraph("<b>Harrison's 22E</b> (2025) chapters listed with page ranges from actual book.",
                   S("LN", fontSize=8, fontName="Helvetica", textColor=C_MUTED,
                     leading=11, italic=True))],
        [Paragraph("<b>Braunwald's Heart Disease</b> chapters listed with page ranges from actual book.",
                   S("LN2", fontSize=8, fontName="Helvetica", textColor=C_MUTED,
                     leading=11, italic=True))],
    ]
    leg_t = Table(legend_data, colWidths=[130 * mm])
    leg_t.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, -1), C_SKYLT),
        ("BACKGROUND", (0, 0), (0, 0), C_SKY),
        ("BOX", (0, 0), (-1, -1), 1, C_BLUE),
        ("TOPPADDING", (0, 0), (-1, -1), 5),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 4),
        ("LEFTPADDING", (0, 0), (-1, -1), 12),
    ]))
    story.append(leg_t)
    story.append(PageBreak())

    # ══════════════════════════════════════════════════════════════════════════
    # WEEK OVERVIEW TABLE
    # ══════════════════════════════════════════════════════════════════════════
    story.append(section_banner("WEEK 1 OVERVIEW — Cardiology (Day 1–7)", C_NAVY))
    story.append(sp(3))

    overview_hdr = [["Day", "Date", "Topic", "Harrison's Chapter", "Braunwald's Chapter", "Marrow Qs"]]
    overview_rows = [
        ["1", "27 Jun", "ACS – STEMI Management", "Ch 286 (pp 1823-1842)", "Ch 59 (pp 1058-1118)", "30 Qs"],
        ["2", "28 Jun", "ACS – NSTEMI/UA & Antiplatelets", "Ch 285 (pp 1808-1822)", "Ch 58 (pp 1011-1057)", "30 Qs"],
        ["3", "29 Jun", "Heart Failure (HFrEF & HFpEF)", "Ch 279 (pp 1732-1757)", "Ch 52-53 (pp 799-889)", "30 Qs"],
        ["4", "30 Jun", "Valvular Heart Disease", "Ch 282 (pp 1775-1799)", "Ch 75-78 (pp 1385-1519)", "25 Qs"],
        ["5", "1 Jul",  "Arrhythmias – AF, SVT, VT", "Ch 280-281 (pp 1758-1774)", "Ch 64-66 (pp 1199-1302)", "30 Qs"],
        ["6", "2 Jul",  "Cardiomyopathies & Pericardial", "Ch 283-284 (pp 1800-1808)", "Ch 71-72 (pp 1303-1380)", "25 Qs"],
        ["7", "3 Jul",  "REVISION – Full Cardiology Test", "All above chapters (review notes)", "All above chapters", "Mock: 50 Qs"],
    ]

    all_rows = overview_hdr + overview_rows
    col_ws = [10*mm, 14*mm, 44*mm, 40*mm, 42*mm, 18*mm]
    ov_t = Table(all_rows, colWidths=col_ws)
    ov_t.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, 0), C_NAVY),
        ("TEXTCOLOR", (0, 0), (-1, 0), colors.white),
        ("FONTNAME", (0, 0), (-1, 0), "Helvetica-Bold"),
        ("FONTSIZE", (0, 0), (-1, 0), 8),
        ("BACKGROUND", (0, 1), (-1, 1), colors.HexColor("#EAF4FB")),
        ("BACKGROUND", (0, 2), (-1, 2), colors.HexColor("#FDF2F2")),
        ("BACKGROUND", (0, 3), (-1, 3), colors.HexColor("#EAF4FB")),
        ("BACKGROUND", (0, 4), (-1, 4), colors.HexColor("#FDF2F2")),
        ("BACKGROUND", (0, 5), (-1, 5), colors.HexColor("#EAF4FB")),
        ("BACKGROUND", (0, 6), (-1, 6), colors.HexColor("#FDF2F2")),
        ("BACKGROUND", (0, 7), (-1, 7), colors.HexColor("#D5F5E3")),
        ("FONTNAME", (0, 1), (-1, -1), "Helvetica"),
        ("FONTSIZE", (0, 1), (-1, -1), 8),
        ("ALIGN", (0, 0), (-1, -1), "CENTER"),
        ("ALIGN", (2, 0), (2, -1), "LEFT"),
        ("ALIGN", (3, 0), (4, -1), "LEFT"),
        ("VALIGN", (0, 0), (-1, -1), "MIDDLE"),
        ("ROWBACKGROUNDS", (0, 0), (-1, -1), None),
        ("GRID", (0, 0), (-1, -1), 0.5, C_GRAYMD),
        ("TOPPADDING", (0, 0), (-1, -1), 6),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 6),
        ("LEFTPADDING", (0, 0), (-1, -1), 6),
        ("FONTNAME", (0, 7), (-1, 7), "Helvetica-Bold"),
        ("TEXTCOLOR", (0, 7), (-1, 7), C_GREEN),
    ]))
    story.append(ov_t)
    story.append(sp(4))

    # Reading load summary
    summary_data = [[
        Paragraph("Total pages to read this week:", S("SL", fontSize=9, fontName="Helvetica-Bold",
                                                       textColor=C_NAVY, leading=12)),
        Paragraph("<b>Harrison's 22E:</b>  ~120 pages (selective sections only)<br/>"
                  "<b>Braunwald's:</b>  ~180 pages (starred sections only)<br/>"
                  "<b>Total Marrow Qs:</b>  ~200 Qs over 7 days",
                  S("SB", fontSize=8.5, fontName="Helvetica", textColor=C_TEXT, leading=13)),
        Paragraph("<b>Strategy reminder:</b><br/>Watch Marrow lecture → Read starred sections → Do QBank on SAME day.",
                  S("SS", fontSize=8, fontName="Helvetica", textColor=C_MUTED, leading=12, italic=True)),
    ]]
    sum_t = Table(summary_data, colWidths=[40*mm, 70*mm, 57*mm])
    sum_t.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, -1), C_AMBERLT),
        ("BOX", (0, 0), (-1, -1), 1, C_AMBER),
        ("VALIGN", (0, 0), (-1, -1), "TOP"),
        ("TOPPADDING", (0, 0), (-1, -1), 8),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 8),
        ("LEFTPADDING", (0, 0), (-1, -1), 8),
    ]))
    story.append(sum_t)
    story.append(PageBreak())

    # ══════════════════════════════════════════════════════════════════════════
    # HARRISON'S 22E SECTION
    # ══════════════════════════════════════════════════════════════════════════
    story.append(book_banner(
        "Harrison's Principles of Internal Medicine  22E  (2025 Edition)",
        "McGraw Hill Medical  |  ISBN 978-1-26-597706-1  |  Chapters from Part 9: Disorders of the Cardiovascular System",
        C_HARRIS
    ))
    story.append(sp(3))

    # ── Day 1 & 2: ACS ──────────────────────────────────────────────────────
    story.append(section_banner("Days 1–2: Acute Coronary Syndromes", C_BLUE))
    story.append(sp(2))

    cards_acs = [
        chapter_card(
            ch_num="285",
            ch_title="Non-ST-Elevation Acute Coronary Syndrome",
            pages="pp 1808–1822",
            day_label="Day 2  (June 28)",
            priority="MUST READ",
            sections=[
                ("Pathophysiology of ACS", "Plaque rupture, thrombus, vasospasm", True),
                ("Clinical Presentation", "Typical vs atypical symptoms, Killip classification", True),
                ("Diagnosis: Biomarkers", "Troponin kinetics, high-sensitivity assay cutoffs", True),
                ("Risk Stratification: TIMI & GRACE scores", "Score components, threshold for invasive strategy", True),
                ("Antiplatelet Therapy", "Aspirin + P2Y12 inhibitors; Ticagrelor vs Clopidogrel (PLATO trial)", True),
                ("Anticoagulation: Fondaparinux vs UFH vs LMWH", "When to choose each; avoid fondaparinux if PCI planned", True),
                ("Invasive vs Conservative Strategy (Fig 285-4)", "Timing thresholds: <24h, <72h criteria", True),
                ("GP IIb/IIIa inhibitors", "Role now limited to bailout PCI only", False),
                ("Secondary Prevention", "Statin targets, ACEi, BB post-ACS", False),
            ],
            tips="TIMI score thresholds, door-to-balloon times, Ticagrelor advantages over Clopidogrel (PLATO), Fondaparinux avoidance with PCI – all are frequent MCQ triggers.",
            book="harrison"
        ),
        chapter_card(
            ch_num="286",
            ch_title="ST-Elevation Myocardial Infarction (STEMI)",
            pages="pp 1823–1842",
            day_label="Day 1  (June 27)",
            priority="MUST READ",
            sections=[
                ("Pathophysiology & ECG Localisation", "Territory → artery mapping; posterior MI = V1-V3 changes", True),
                ("Reperfusion: Primary PCI", "Door-to-balloon <90 min; <120 min if transfer needed", True),
                ("Reperfusion: Fibrinolysis", "When to use (PCI unavailable, onset <12h); D2N <30 min", True),
                ("Antithrombotic in STEMI", "Aspirin + Ticagrelor; UFH/Bivalirudin with PCI; avoid Fondaparinux", True),
                ("Cardiogenic Shock Management", "Intra-aortic balloon pump; ECMO indications", True),
                ("STEMI Complications", "Mechanical: VSD, MR, free wall rupture; arrhythmic: VF, AVB", True),
                ("Post-MI Management", "GDMT initiation: BB, ACEi, statin, antiplatelet duration", True),
                ("Right Ventricular Infarction", "ST elevation V4R; avoid nitrates/diuretics; fluid load", True),
                ("Reperfusion Injury", "No-reflow, microvascular obstruction", False),
            ],
            tips="Door-to-balloon 90 min (direct) / 120 min (transfer). Fibrinolysis 30 min D2N. Contraindications to tPA (all 10 absolute). RV infarct: avoid nitrates – most tested STEMI pitfall.",
            book="harrison"
        ),
    ]

    for card in cards_acs:
        story.append(KeepTogether([card, sp(3)]))

    story.append(PageBreak())

    # ── Day 3: Heart Failure ─────────────────────────────────────────────────
    story.append(section_banner("Day 3: Heart Failure", C_BLUE))
    story.append(sp(2))

    hf_card = chapter_card(
        ch_num="279",
        ch_title="Heart Failure and Cor Pulmonale",
        pages="pp 1732–1757",
        day_label="Day 3  (June 29)",
        priority="MUST READ",
        sections=[
            ("HFrEF vs HFpEF vs HFmrEF: Definitions", "EF cutoffs, pathophysiology differences", True),
            ("GDMT for HFrEF – 4 Pillars", "ACEi/ARB/ARNI + BB + MRA + SGLT2i; each pillar's trial", True),
            ("ARNI (Sacubitril/Valsartan)", "PARADIGM-HF: 20% RRR vs Enalapril; when to switch", True),
            ("SGLT2i in HF", "DAPA-HF (Dapagliflozin), EMPEROR (Empagliflozin); non-diabetic benefit", True),
            ("Device Therapy: ICD & CRT", "Criteria: EF <35%, NYHA II-III, >3 months GDMT; LBBB for CRT", True),
            ("Acute Decompensated HF Management", "IV diuretics, vasodilators, ultrafiltration indications", True),
            ("HFpEF Management", "SGLT2i (EMPEROR-Preserved); MRA; volume management", True),
            ("Cor Pulmonale", "Causes, ECG, management of right HF", False),
            ("Haemodynamic Profiles: Warm/Dry, Wet/Cold", "4 profiles and treatment approach per profile", False),
            ("Biomarkers: BNP & NT-proBNP", "Cutoffs, causes of false elevation (obesity lowers BNP)", False),
        ],
        tips="GDMT 4-drug regimen for HFrEF, trial names (PARADIGM, DAPA-HF, EMPEROR), ICD criteria (EF <35% + 3 months GDMT), HFpEF vs HFrEF mortality trial data – all high-frequency MCQ content.",
        book="harrison"
    )
    story.append(hf_card)
    story.append(sp(3))
    story.append(PageBreak())

    # ── Day 4: Valvular ──────────────────────────────────────────────────────
    story.append(section_banner("Day 4: Valvular Heart Disease", C_BLUE))
    story.append(sp(2))

    valv_card = chapter_card(
        ch_num="282",
        ch_title="Valvular Heart Disease",
        pages="pp 1775–1799",
        day_label="Day 4  (June 30)",
        priority="MUST READ",
        sections=[
            ("Aortic Stenosis: Severity Criteria", "Severe: AVA <1 cm², mean gradient >40 mmHg, Vmax >4 m/s", True),
            ("AS: Surgical vs TAVI Decision", "PARTNER 3: TAVI equivalent to SAVR in low risk at 2yr; STS score", True),
            ("AS: Paradoxical Low-Flow Low-Gradient", "Normal EF + low gradient + low AVA: dobutamine stress echo", True),
            ("Mitral Regurgitation: Indications for Surgery", "EF <60% OR LVESD >40 mm; earlier if repairable", True),
            ("Mitral Stenosis: Wilkins Score & PBMC", "MVA <1.5 cm²; PBMC if Wilkins ≤8; avoid if LA thrombus", True),
            ("Aortic Regurgitation: Surgical Timing", "EF <50% OR LVESD >50 mm (or >25 mm/m²)", True),
            ("RHD & Penicillin Prophylaxis Duration", "10yr or age 40 (whichever longer); severe MR: lifelong", True),
            ("Infective Endocarditis Prophylaxis", "Only for prosthetic valves, prior IE, unrepaired CHD", False),
            ("Prosthetic Valve Anticoagulation", "Mechanical: warfarin; bioprosthetic: aspirin ± anticoag 3m", False),
        ],
        tips="Severity thresholds for all 4 valves, intervention timing criteria, PARTNER 3 trial results, Wilkins score cutoff for PBMC, penicillin prophylaxis durations – all memorisable and directly tested.",
        book="harrison"
    )
    story.append(valv_card)
    story.append(sp(3))
    story.append(PageBreak())

    # ── Day 5: Arrhythmias ───────────────────────────────────────────────────
    story.append(section_banner("Day 5: Cardiac Arrhythmias", C_BLUE))
    story.append(sp(2))

    arrh_cards = [
        chapter_card(
            ch_num="280",
            ch_title="Principles of Electrophysiology",
            pages="pp 1758–1764",
            day_label="Day 5  (July 1)",
            priority="SKIM",
            sections=[
                ("Normal Conduction System", "SA node → AV node → His-Purkinje; refractory periods", False),
                ("Action Potential Phases", "Phase 0-4 for different cell types; drug targets", False),
                ("Mechanisms of Arrhythmia", "Reentry, automaticity, triggered activity", True),
            ],
            tips="Read selectively – reentry mechanisms and action potential phases are MCQ-tested.",
            book="harrison"
        ),
        chapter_card(
            ch_num="281",
            ch_title="Diagnosis & Treatment of Cardiac Arrhythmias",
            pages="pp 1765–1800  (Key sections only)",
            day_label="Day 5  (July 1)",
            priority="MUST READ",
            sections=[
                ("Atrial Fibrillation: Classification", "Paroxysmal/Persistent/Long-standing/Permanent definitions", True),
                ("AF: Rate vs Rhythm Control", "EAST-AFNET 4: early rhythm control superior; RACE II: lenient rate OK", True),
                ("AF: Rate Control Drugs", "BB > non-DHP CCB (diltiazem/verapamil) > Digoxin (last resort)", True),
                ("AF: Rhythm Control Drugs", "Flecainide (no structural disease), Amiodarone, Dronedarone", True),
                ("AF: Anticoagulation – CHA₂DS₂-VASc", "Score ≥2 men / ≥3 women → OAC; DOACs > Warfarin", True),
                ("Valvular AF", "Rheumatic MS / mechanical valve → Warfarin ONLY (no DOAC)", True),
                ("AF Ablation: Pulmonary Vein Isolation", "Indication: symptomatic, drug-refractory; cure rates", True),
                ("SVT: AVNRT vs AVRT", "Vagal manoeuvres → Adenosine → Ablation (90%+ cure rate)", True),
                ("VT: Sustained vs Non-Sustained", "ICD indications; VT storm management", True),
                ("Channelopathies: Long QT, Brugada, CPVT", "Triggers, ECG pattern, treatment – high yield", True),
                ("Torsades de Pointes", "QTc >500, stop offending drug, IV MgSO₄, overdrive pacing", True),
            ],
            tips="CHA₂DS₂-VASc score by heart (all 8 components), DOAC contraindications (valvular AF), Brugada ECG pattern, Long QT drugs to avoid, Adenosine dose (6mg then 12mg) – all classic MCQ material.",
            book="harrison"
        ),
    ]
    for card in arrh_cards:
        story.append(KeepTogether([card, sp(3)]))

    story.append(PageBreak())

    # ── Day 6: Cardiomyopathies + Pericardial ──────────────────────────────
    story.append(section_banner("Day 6: Cardiomyopathies & Pericardial Disease", C_BLUE))
    story.append(sp(2))

    cmp_cards = [
        chapter_card(
            ch_num="283",
            ch_title="Cardiomyopathy and Myocarditis",
            pages="pp 1800–1805",
            day_label="Day 6  (July 2)",
            priority="HIGH YIELD",
            sections=[
                ("HCM: Pathophysiology & LVOT Obstruction", "Asymmetric septal hypertrophy, SAM, dynamic gradient", True),
                ("HCM: ECG and Echo Findings", "LVH, septal Q waves, septal thickness ≥15 mm", True),
                ("HCM: SCD Risk Stratification", "5 risk factors: thickness ≥30mm, NSVT, family h/o SCD, abnormal BP response, unexplained syncope", True),
                ("HCM: Management", "BB/Verapamil; Mavacamten (myosin inhibitor); ICD; septal ablation", True),
                ("Dilated CM: Causes & Management", "Alcohol, viral, thyroid, peripartum; GDMT same as HFrEF", True),
                ("ARVC: ECG & Risk", "Epsilon wave, T-wave V1-V3 inversion; sudden death in athletes", True),
                ("Restrictive CM: vs Constrictive Pericarditis", "Key differentiating features on echo/catheter", True),
                ("Myocarditis", "Viral (Parvovirus B19, Coxsackie), giant cell myocarditis; biopsy Dallas criteria", False),
            ],
            tips="HCM SCD risk factors (all 5), Mavacamten mechanism, HCM+AF → anticoagulate regardless of CHA₂DS₂-VASc. ARVC epsilon wave location. DCM causes (reversible ones are exam favourites).",
            book="harrison"
        ),
        chapter_card(
            ch_num="284",
            ch_title="Pericardial Disease",
            pages="pp 1805–1808",
            day_label="Day 6  (July 2)",
            priority="HIGH YIELD",
            sections=[
                ("Acute Pericarditis: Diagnosis & Treatment", "2/4 diagnostic criteria; NSAIDs + Colchicine (COPE trial)", True),
                ("Pericardial Tamponade: Beck's Triad", "Hypotension + JVP raised + muffled heart sounds", True),
                ("Tamponade: ECG & Echo Findings", "Electrical alternans; RA/RV collapse; pulsus paradoxus >10", True),
                ("Tamponade vs Constrictive Pericarditis", "Pulsus paradoxus, Kussmaul's sign, square root sign on catheter", True),
                ("Constrictive Pericarditis", "Post-TB / post-radiation; pericardiectomy definitive", True),
                ("Pericarditis in Systemic Disease", "SLE, uraemia (uraemic pericarditis – dialysis indication), drug-induced", False),
            ],
            tips="Beck's triad, pulsus paradoxus definition and measurement, Kussmaul's sign (raised JVP on inspiration – only in constrictive pericarditis, NOT tamponade), Colchicine halves recurrence – all tested.",
            book="harrison"
        ),
    ]
    for card in cmp_cards:
        story.append(KeepTogether([card, sp(3)]))

    story.append(PageBreak())

    # ══════════════════════════════════════════════════════════════════════════
    # BRAUNWALD'S SECTION
    # ══════════════════════════════════════════════════════════════════════════
    story.append(book_banner(
        "Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine",
        "Elsevier  |  ISBN 978-0-323-72219-3  |  12th Edition  |  Use for deeper clinical detail on exam-heavy topics",
        C_BRAUNW
    ))
    story.append(sp(3))

    # Important note on Braunwald approach
    braunw_note = [[
        Paragraph(
            "<b>Reading strategy for Braunwald's:</b>  This is a reference text (~3000 pages). "
            "Do NOT read full chapters. Use Braunwald's only for the specific sub-sections listed below, "
            "after completing the equivalent Harrison's chapter. Focus on guidelines tables, "
            "management algorithms, and landmark trial summaries embedded in each chapter.",
            S("BN", fontSize=8.5, fontName="Helvetica", textColor=C_TEXT, leading=13)
        )
    ]]
    bn_t = Table(braunw_note, colWidths=[PAGE_W - 2 * MARGIN])
    bn_t.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, -1), colors.HexColor("#FFF5F5")),
        ("BOX", (0, 0), (-1, -1), 1, C_BRAUNW),
        ("TOPPADDING", (0, 0), (-1, -1), 8),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 8),
        ("LEFTPADDING", (0, 0), (-1, -1), 12),
    ]))
    story.append(bn_t)
    story.append(sp(3))

    # Braunwald ACS chapters
    story.append(section_banner("Days 1–2: ACS  (Braunwald's)", C_BRAUNW))
    story.append(sp(2))

    braw_acs_cards = [
        chapter_card(
            ch_num="58",
            ch_title="Non-ST-Elevation Acute Coronary Syndrome",
            pages="pp 1011–1057",
            day_label="Day 2  (June 28) — After Harrison's Ch 285",
            priority="HIGH YIELD",
            sections=[
                ("Pathophysiology of Plaque Instability", "Thin-cap fibroatheroma, OCT findings, vulnerable plaque", False),
                ("Risk Stratification Tables (Tables 58-1 to 58-4)", "TIMI, GRACE, HEART scores – full scoring tables", True),
                ("Figure 58-5: Antithrombotic Algorithm", "Fondaparinux vs enoxaparin vs UFH decision flowchart", True),
                ("P2Y12 Inhibitor Comparison Table", "Ticagrelor vs Prasugrel vs Clopidogrel head-to-head", True),
                ("Timing of Invasive Strategy (Fig 58-7)", "Immediate/Early/Deferred strategies with criteria", True),
                ("PLATO Trial Summary (Box 58-3)", "Ticagrelor 20% RRR over Clopidogrel; bleeding risk nuance", True),
                ("Post-Discharge DAPT Duration", "12 months standard; 30 months in high ischaemic risk (DAPT trial)", False),
            ],
            tips="Braunwald has better algorithm figures than Harrison's for ACS antithrombotic choices. Study Fig 58-5 and 58-7 carefully.",
            book="braunwald"
        ),
        chapter_card(
            ch_num="59",
            ch_title="ST-Elevation Myocardial Infarction",
            pages="pp 1058–1118",
            day_label="Day 1  (June 27) — After Harrison's Ch 286",
            priority="MUST READ",
            sections=[
                ("Figure 59-2: Reperfusion Decision Algorithm", "PCI vs fibrinolysis decision tree with time thresholds", True),
                ("Table 59-3: STEMI Antithrombotic Regimens", "Full drug regimens for PCI vs fibrinolysis scenarios", True),
                ("Fibrinolytic Contraindications Table (Table 59-4)", "All absolute + relative contraindications – memorise", True),
                ("Figure 59-6: Mechanical Complications", "VSD, MR, free wall rupture – timing, echo findings, treatment", True),
                ("Cardiogenic Shock Protocol (Fig 59-8)", "Haemodynamic support options: IABP, Impella, ECMO", True),
                ("Table 59-7: Post-MI Drug Dosing", "Exact doses for aspirin, BB, ACEi, statin", False),
                ("STREAM Trial (Box 59-2)", "Fibrinolysis vs primary PCI in rural settings – landmark", True),
                ("RV Infarction Section", "V4R lead, clinical triad, avoid vasodilators, fluid load", True),
            ],
            tips="Table 59-3 and Fig 59-2 are exam-quality content. Mechanical complication timing post-STEMI (VSD days 3-5, free wall rupture days 1-3) is a classic MCQ area.",
            book="braunwald"
        ),
    ]
    for card in braw_acs_cards:
        story.append(KeepTogether([card, sp(3)]))

    story.append(PageBreak())

    # Braunwald HF
    story.append(section_banner("Day 3: Heart Failure  (Braunwald's)", C_BRAUNW))
    story.append(sp(2))

    braw_hf_cards = [
        chapter_card(
            ch_num="52",
            ch_title="Pathophysiology of Heart Failure",
            pages="pp 799–835",
            day_label="Day 3  (June 29) — Concept building only",
            priority="SKIM",
            sections=[
                ("Neurohormonal Activation in HF", "RAAS, sympathetic, natriuretic peptide axes", True),
                ("Cardiac Remodelling", "Eccentric vs concentric hypertrophy; reverse remodelling with GDMT", True),
                ("Haemodynamic Profiles", "Forrester classification: Warm/Cold × Wet/Dry", True),
            ],
            tips="Read only the summary sections and figures. This chapter provides the 'why' behind GDMT – useful for clinical reasoning questions.",
            book="braunwald"
        ),
        chapter_card(
            ch_num="53",
            ch_title="Management of Heart Failure (HFrEF and HFpEF)",
            pages="pp 836–889",
            day_label="Day 3  (June 29) — Core reading",
            priority="MUST READ",
            sections=[
                ("Figure 53-1: GDMT Algorithm", "Step-by-step initiation and titration of 4-drug therapy", True),
                ("Table 53-2: Evidence Summary for GDMT Drugs", "Trial names, drug classes, NNT/ARR – comprehensive", True),
                ("ARNI: Sacubitril/Valsartan (Box 53-3)", "PARADIGM-HF full results; switching from ACEi (36h washout)", True),
                ("SGLT2i Evidence Tables", "DAPA-HF + EMPEROR-Reduced results; combined analysis", True),
                ("ICD/CRT Criteria Table (Table 53-7)", "All indication criteria with NYHA class thresholds", True),
                ("Diuretic Therapy in ADHF", "IV furosemide dosing, resistance, ultrafiltration", True),
                ("HFpEF Management (Section 53.4)", "EMPEROR-Preserved: Empagliflozin benefits; TOPCAT: Spiro limited benefit", True),
                ("Cardiorenal Syndrome", "Types 1-5; worsening renal function in ADHF management", False),
                ("Advanced HF: LVAD & Transplant", "Bridge-to-transplant, destination therapy; listing criteria", False),
            ],
            tips="Best single reference for complete GDMT evidence. Fig 53-1 algorithm is exam-quality. SGLT2i evidence in non-diabetics tested repeatedly.",
            book="braunwald"
        ),
    ]
    for card in braw_hf_cards:
        story.append(KeepTogether([card, sp(3)]))

    story.append(PageBreak())

    # Braunwald Valvular, Arrhythmias, CMP
    story.append(section_banner("Days 4–6: Valvular, Arrhythmias, CMP  (Braunwald's)", C_BRAUNW))
    story.append(sp(2))

    braw_rest = [
        chapter_card(
            ch_num="75–78",
            ch_title="Valvular Heart Disease (AS, MR, MS, AR)",
            pages="pp 1385–1519",
            day_label="Day 4  (June 30) — Read starred sections only",
            priority="HIGH YIELD",
            sections=[
                ("AS: Figure 75-3 – Natural History", "Classic triad onset: Angina →3yr; Syncope →2yr; Dyspnea →1yr", True),
                ("AS: Table 75-4 – Intervention Criteria (AHA 2021)", "All indication classes I, IIa, IIb tabulated", True),
                ("AS: TAVI Landmark Trials Summary Box", "PARTNER 1/2/3, EVOLUT – low/intermediate/high risk results", True),
                ("MR: Table 76-2 – Surgical Timing", "EF and LVESD thresholds for primary vs secondary MR", True),
                ("MS: Wilkins Score Table (Table 77-3)", "All 4 components scored 1-4; total ≤8 for PBMC", True),
                ("AR: Management Algorithm (Fig 78-4)", "Medical vs surgical decision based on EF + symptoms", True),
                ("Anticoagulation in VHD: Table 79-1", "Full anticoagulation guidance for different valve conditions", True),
            ],
            tips="The tables in Braunwald's valvular chapters are the best single source for intervention criteria. AHA guideline tables (2021) reproduced in full – study them directly.",
            book="braunwald"
        ),
        chapter_card(
            ch_num="64–66",
            ch_title="Atrial Fibrillation, SVT, and Ventricular Arrhythmias",
            pages="pp 1199–1302",
            day_label="Day 5  (July 1) — After Harrison's Ch 281",
            priority="HIGH YIELD",
            sections=[
                ("AF: Table 64-1 – CHA₂DS₂-VASc Scoring", "Full table with risk categories and DOAC initiation thresholds", True),
                ("AF: Table 64-3 – Rate Control Drug Dosing", "IV and oral doses, contraindications for each agent", True),
                ("AF: Figure 64-7 – Rhythm Control Decision", "When to choose rhythm control; EAST-AFNET 4 incorporated", True),
                ("AF: Catheter Ablation Outcomes", "Success rates, complications, patient selection", True),
                ("AVNRT vs AVRT: Electrophysiologic Mechanism", "Dual AV nodal pathways; accessory pathway features", False),
                ("VT: Sustained Monomorphic VT Algorithm", "Haemodynamically stable vs unstable management", True),
                ("Channelopathies: Table 65-8", "Long QT subtypes, triggers (LQT1: exercise, LQT2: sounds, LQT3: sleep)", True),
                ("Brugada Syndrome Diagnostic Criteria", "Type 1 ECG pattern; fever-induced unmasking; ICD criteria", True),
            ],
            tips="Braunwald's channelopathy tables are the best reference for LQT subtypes and Brugada. Table 65-8 alone covers multiple exam questions.",
            book="braunwald"
        ),
        chapter_card(
            ch_num="71–72",
            ch_title="Hypertrophic Cardiomyopathy & Pericardial Diseases",
            pages="pp 1303–1380",
            day_label="Day 6  (July 2) — After Harrison's Chs 283-284",
            priority="HIGH YIELD",
            sections=[
                ("HCM: Table 71-2 – SCD Risk Stratification", "AHA 2020 risk calculator factors; 5-year risk threshold for ICD", True),
                ("HCM: Figure 71-5 – Medical vs Invasive Algorithm", "Mavacamten, disopyramide, septal myectomy, alcohol ablation", True),
                ("HCM: Mavacamten (Box 71-3)", "EXPLORER-HCM trial results; cardiac myosin inhibitor mechanism", True),
                ("HCM+AF: Anticoagulation Recommendation", "All HCM+AF anticoagulate regardless of CHA₂DS₂-VASc score", True),
                ("Constrictive vs Restrictive: Table 72-4", "Side-by-side comparison of haemodynamics, echo, catheter findings", True),
                ("Pericarditis: ESC 2015 Guidelines Table", "Aspirin + Colchicine (COPE/ICAP trials); steroid avoidance", True),
                ("Tamponade: Figure 72-8 – Management", "Pericardiocentesis technique; drainage volume; recurrence", True),
            ],
            tips="HCM risk factors (all 5 from AHA 2020), Mavacamten mechanism (EXPLORER-HCM), constrictive vs restrictive comparison table, and pericarditis guideline-based treatment are all direct exam targets.",
            book="braunwald"
        ),
    ]
    for card in braw_rest:
        story.append(KeepTogether([card, sp(3)]))

    story.append(PageBreak())

    # ── Day 7 Revision Page ───────────────────────────────────────────────────
    story.append(section_banner("Day 7 (July 3) — Revision & Full Cardiology Test", C_GREEN))
    story.append(sp(3))

    rev_data = [
        [Paragraph("Day 7 Checklist", S("RH", fontSize=12, fontName="Helvetica-Bold",
                                         textColor=C_GREEN, leading=16))],
        [Paragraph("□  Re-read ALL starred (★) sections from Harrison's – do not re-read Braunwald's today", BULLET)],
        [Paragraph("□  Review your wrong answers from Days 1-6 QBank sessions (Marrow 'Incorrect' filter)", BULLET)],
        [Paragraph("□  Attempt the Marrow Cardiology Full Subject Test (50 Qs)", BULLET)],
        [Paragraph("□  For every wrong answer: note chapter + page reference and add to Weak Topics Log", BULLET)],
        [Paragraph("□  Review these specific numbers (no textbook needed):", BULLET)],
        [Paragraph("      ACS: D2B 90/120 min, D2N 30 min, Ticagrelor loading 180mg, tPA 0.9mg/kg max 90mg", KEY_ST)],
        [Paragraph("      HF: EF <35% ICD threshold, SGLT2i in non-diabetics, ARNI 36h washout from ACEi", KEY_ST)],
        [Paragraph("      Valvular: AS AVA <1cm², TAVI PARTNER 3, MS Wilkins ≤8 for PBMC, MR EF <60%", KEY_ST)],
        [Paragraph("      AF: CHA₂DS₂-VASc ≥2/≥3, lenient rate <110 (RACE II), EAST-AFNET 4 rhythm control", KEY_ST)],
        [Paragraph("      HCM: 5 SCD risk factors, Mavacamten, HCM+AF → anticoagulate always", KEY_ST)],
        [Paragraph("      Pericarditis: Colchicine halves recurrence, Beck's triad, Kussmaul's = constrictive ONLY", KEY_ST)],
        [Paragraph("□  Target accuracy on Day 7 test: >65% (acceptable) | >75% (excellent)", ALERT_ST)],
    ]
    rev_t = Table(rev_data, colWidths=[PAGE_W - 2 * MARGIN])
    rev_t.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, -1), C_GREENLT),
        ("BACKGROUND", (0, 0), (0, 0), C_GREEN),
        ("TEXTCOLOR", (0, 0), (0, 0), colors.white),
        ("BOX", (0, 0), (-1, -1), 1.5, C_GREEN),
        ("TOPPADDING", (0, 0), (-1, -1), 5),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 4),
        ("LEFTPADDING", (0, 0), (-1, -1), 12),
    ]))
    story.append(rev_t)
    story.append(sp(5))

    # Landmark trials summary
    story.append(section_banner("Landmark Cardiology Trials – Week 1 Quick Reference", C_NAVY))
    story.append(sp(3))

    trials = [
        ["PARADIGM-HF", "Sacubitril/Valsartan vs Enalapril in HFrEF", "20% RRR in CV death + HF hosp"],
        ["DAPA-HF",     "Dapagliflozin in HFrEF (incl. non-diabetics)", "26% RRR in HF events vs placebo"],
        ["EMPEROR-Red", "Empagliflozin in HFrEF", "25% RRR in CV death + HF hosp"],
        ["EMPEROR-Pres","Empagliflozin in HFpEF", "21% RRR HF events; first proven benefit in HFpEF"],
        ["PLATO",       "Ticagrelor vs Clopidogrel in ACS", "Ticagrelor: 20% RRR in CV death/MI/stroke, more bleeding"],
        ["PARTNER 3",   "TAVI vs SAVR in low-surgical-risk AS", "TAVI non-inferior at 2yr; trend to superiority"],
        ["EAST-AFNET 4","Early rhythm control vs rate control in AF", "Rhythm control superior: 21% RRR in CV outcomes"],
        ["RACE II",     "Lenient (<110) vs strict (<80) rate in AF", "Lenient rate control non-inferior; less drug burden"],
        ["EXPLORER-HCM","Mavacamten vs placebo in obstructive HCM", "Mavacamten: 27% improved functional class"],
        ["CREDENCE",    "Canagliflozin in DKD", "30% RRR in kidney failure/CV death (also relevant HF-renal)"],
        ["STREAM",      "Fibrinolysis vs PCI in rural STEMI", "Pharmaco-invasive strategy non-inferior if PCI unavailable"],
        ["DANAMI-3 DEFER","Deferred stenting in STEMI", "No benefit to routine deferred stenting vs immediate PCI"],
    ]

    trial_hdr = [["Trial", "Question", "Key Result"]]
    t_data = trial_hdr + trials
    trial_t = Table(t_data, colWidths=[32*mm, 72*mm, 63*mm])
    trial_t.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, 0), C_NAVY),
        ("TEXTCOLOR", (0, 0), (-1, 0), colors.white),
        ("FONTNAME", (0, 0), (-1, 0), "Helvetica-Bold"),
        ("FONTSIZE", (0, 0), (-1, -1), 8),
        ("FONTNAME", (0, 1), (0, -1), "Helvetica-Bold"),
        ("TEXTCOLOR", (0, 1), (0, -1), C_NAVY),
        ("GRID", (0, 0), (-1, -1), 0.5, C_GRAYMD),
        ("ROWBACKGROUNDS", (0, 1), (-1, -1), [C_GRAY, colors.white]),
        ("VALIGN", (0, 0), (-1, -1), "MIDDLE"),
        ("TOPPADDING", (0, 0), (-1, -1), 5),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 5),
        ("LEFTPADDING", (0, 0), (-1, -1), 6),
        ("TEXTCOLOR", (2, 1), (2, -1), C_GREEN),
        ("FONTNAME", (2, 1), (2, -1), "Helvetica-Bold"),
    ]))
    story.append(trial_t)

    return story

# ── Build ──────────────────────────────────────────────────────────────────────
TMP = "/tmp/NEET_SS_Cardiology_Reading_Guide.pdf"
DEST = "/home/daytona/workspace/neet-ss-guide/NEET_SS_Cardiology_Reading_Guide.pdf"

doc = SimpleDocTemplate(
    TMP,
    pagesize=A4,
    leftMargin=MARGIN, rightMargin=MARGIN,
    topMargin=16 * mm, bottomMargin=12 * mm,
    title="NEET SS Week 1 Cardiology Reading Guide",
    author="Orris",
)

story = build_story()
doc.build(story, onFirstPage=cover_bg, onLaterPages=page_header_footer)

with open(TMP, "rb") as src, open(DEST, "wb") as dst:
    dst.write(src.read())

print(f"Saved: {DEST}")

Successfully replaced 1 instance(s) of the string in '/home/daytona/workspace/neet-ss-guide/build_cardio_reading.py'

"""
NEET SS Week 1 Cardiology – Optimized, Non-Redundant Reading Guide
Strategy:
  - Harrison's = primary source for clinical reasoning + diagnosis + management overview
  - Braunwald's = supplementary ONLY for: algorithm figures, guideline tables, trial summaries
  - Overlap eliminated topic-by-topic
  - Each topic gets ONE reading block (not two separate ones that repeat content)
"""

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

PAGE_W, PAGE_H = A4
MARGIN = 14 * mm
COL_W = PAGE_W - 2 * MARGIN

# ── Palette ───────────────────────────────────────────────────────────────────
C_NAVY    = colors.HexColor("#1A3C5E")
C_BLUE    = colors.HexColor("#2E6DA4")
C_SKY     = colors.HexColor("#D6EAF8")
C_SKYLT   = colors.HexColor("#EBF5FB")
C_RED     = colors.HexColor("#C0392B")
C_REDLT   = colors.HexColor("#FADBD8")
C_GREEN   = colors.HexColor("#1A6B3C")
C_GREENLT = colors.HexColor("#D5F5E3")
C_AMBER   = colors.HexColor("#F39C12")
C_AMBERLT = colors.HexColor("#FEF9E7")
C_GRAY    = colors.HexColor("#F2F3F4")
C_GRAYMD  = colors.HexColor("#BDC3C7")
C_TEXT    = colors.HexColor("#1A1A1A")
C_MUTED   = colors.HexColor("#5D6D7E")
C_HARRIS  = colors.HexColor("#0A3D6B")
C_BRAUNW  = colors.HexColor("#7D0A0A")
C_PURPLE  = colors.HexColor("#6C3483")
C_OVERLAP = colors.HexColor("#FF6B35")  # orange = overlap eliminated

# ── Style factory ─────────────────────────────────────────────────────────────
def S(name, **kw):
    return ParagraphStyle(name, **kw)

TITLE_ST  = S("T1", fontSize=22, fontName="Helvetica-Bold", textColor=colors.white,
               alignment=TA_CENTER, leading=28)
AMBER_ST  = S("T2", fontSize=26, fontName="Helvetica-Bold", textColor=C_AMBER,
               alignment=TA_CENTER, leading=32)
SUB_ST    = S("T3", fontSize=10, fontName="Helvetica", textColor=colors.HexColor("#AEDAF0"),
               alignment=TA_CENTER, leading=15, italic=True)
SEC_ST    = S("Sec", fontSize=12, fontName="Helvetica-Bold", textColor=colors.white,
               alignment=TA_LEFT, leading=16)
BODY_ST   = S("Bd", fontSize=8.5, fontName="Helvetica", textColor=C_TEXT, leading=12)
BOLD_ST   = S("Bo", fontSize=8.5, fontName="Helvetica-Bold", textColor=C_TEXT, leading=12)
KEY_ST    = S("Key", fontSize=8, fontName="Helvetica-Bold", textColor=C_GREEN,
               leading=11, leftIndent=8)
ALERT_ST  = S("Alt", fontSize=8, fontName="Helvetica-Bold", textColor=C_RED,
               leading=11, leftIndent=8)
MUTED_ST  = S("Mu", fontSize=7.5, fontName="Helvetica", textColor=C_MUTED,
               leading=11, italic=True)
LABEL_ST  = S("Lb", fontSize=7.5, fontName="Helvetica-Bold", textColor=colors.white,
               alignment=TA_CENTER, leading=10)
H_TAG_ST  = S("HT", fontSize=7, fontName="Helvetica-Bold", textColor=C_HARRIS,
               alignment=TA_CENTER, leading=9)
B_TAG_ST  = S("BT", fontSize=7, fontName="Helvetica-Bold", textColor=C_BRAUNW,
               alignment=TA_CENTER, leading=9)

def sp(h=3):
    return Spacer(1, h * mm)

def banner(text, bg):
    t = Table([[Paragraph(f"  {text}", SEC_ST)]], colWidths=[COL_W])
    t.setStyle(TableStyle([
        ("BACKGROUND", (0,0),(-1,-1), bg),
        ("TOPPADDING", (0,0),(-1,-1), 7),
        ("BOTTOMPADDING",(0,0),(-1,-1), 7),
        ("LEFTPADDING", (0,0),(-1,-1), 10),
    ]))
    return t

def page_hdr_ftr(c, doc):
    c.saveState()
    c.setFillColor(C_NAVY)
    c.rect(0, PAGE_H - 10*mm, PAGE_W, 10*mm, fill=1, stroke=0)
    c.setFont("Helvetica-Bold", 7)
    c.setFillColor(colors.white)
    c.drawString(MARGIN, PAGE_H - 6*mm,
                 "NEET SS  |  Week 1 Cardiology  |  Optimized Reading Guide (Non-Redundant)")
    c.setFont("Helvetica", 7)
    c.drawRightString(PAGE_W - MARGIN, PAGE_H - 6*mm, f"Page {doc.page}")
    c.setFillColor(C_NAVY)
    c.rect(0, 0, PAGE_W, 8*mm, fill=1, stroke=0)
    c.setFont("Helvetica", 7)
    c.setFillColor(colors.white)
    c.drawString(MARGIN, 3*mm, "Harrison's = clinical overview  |  Braunwald's = algorithm tables + trial data only")
    c.drawRightString(PAGE_W - MARGIN, 3*mm, "June 27 – July 3, 2026")
    c.restoreState()

def cover_bg(c, doc):
    c.saveState()
    c.setFillColor(C_NAVY)
    c.rect(0, 0, PAGE_W, PAGE_H, fill=1, stroke=0)
    c.setFillColor(C_BLUE)
    c.rect(0, PAGE_H*0.38, PAGE_W, PAGE_H*0.62, fill=1, stroke=0)
    c.setFillColor(C_AMBER)
    c.rect(0, PAGE_H*0.38-4, PAGE_W, 8, fill=1, stroke=0)
    c.restoreState()

# ══════════════════════════════════════════════════════════════════════════════
# CORE COMPONENT: The Optimized Topic Block
# Each topic = ONE block with:
#   - Primary source to read (Harrison OR Braunwald, whichever is better)
#   - Supplementary source: specific tables/figures ONLY (no re-reading content)
#   - Eliminated overlap listed explicitly so student knows what to skip
# ══════════════════════════════════════════════════════════════════════════════

def topic_block(day, date_str, topic, time_est,
                primary_book, primary_ch, primary_pages, primary_sections,
                supp_book, supp_ch, supp_pages, supp_items,
                overlap_skip,
                exam_focus,
                marrow_qs):
    """
    primary_sections: list of (text, is_key_bool)
    supp_items: list of (item_name, what_to_extract) – specific tables/figs only
    overlap_skip: list of strings describing what NOT to read (duplicate content)
    exam_focus: string of key facts/numbers
    """

    w = COL_W
    pri_is_H = "Harrison" in primary_book
    pri_color = C_HARRIS if pri_is_H else C_BRAUNW
    pri_bg    = C_SKYLT   if pri_is_H else colors.HexColor("#FEF0F0")
    sup_color = C_HARRIS if "Harrison" in supp_book else C_BRAUNW
    sup_bg    = C_SKYLT   if "Harrison" in supp_book else colors.HexColor("#FEF0F0")

    rows = []

    # ── Row 1: Day header ────────────────────────────────────────────────────
    day_row = Table([[
        Paragraph(f"Day {day}  ·  {date_str}", S("DR", fontSize=9, fontName="Helvetica-Bold",
                   textColor=colors.white, leading=12)),
        Paragraph(f"⏱ {time_est}", S("TE", fontSize=8, fontName="Helvetica",
                   textColor=colors.HexColor("#AEDAF0"), leading=12, alignment=TA_CENTER)),
        Paragraph(f"QBank: {marrow_qs} Qs", S("QB", fontSize=8, fontName="Helvetica-Bold",
                   textColor=C_AMBER, leading=12, alignment=TA_CENTER)),
    ]], colWidths=[w*0.55, w*0.25, w*0.20])
    day_row.setStyle(TableStyle([
        ("BACKGROUND", (0,0),(-1,-1), C_NAVY),
        ("TOPPADDING", (0,0),(-1,-1), 6),
        ("BOTTOMPADDING",(0,0),(-1,-1), 6),
        ("LEFTPADDING", (0,0),(-1,-1), 10),
        ("VALIGN", (0,0),(-1,-1), "MIDDLE"),
    ]))

    # ── Row 2: Topic title ───────────────────────────────────────────────────
    topic_row = Table([[
        Paragraph(topic, S("TR", fontSize=11, fontName="Helvetica-Bold",
                            textColor=C_NAVY, leading=15)),
    ]], colWidths=[w])
    topic_row.setStyle(TableStyle([
        ("BACKGROUND", (0,0),(-1,-1), C_SKY),
        ("TOPPADDING", (0,0),(-1,-1), 7),
        ("BOTTOMPADDING",(0,0),(-1,-1), 6),
        ("LEFTPADDING", (0,0),(-1,-1), 10),
        ("BOX", (0,0),(-1,-1), 1, C_BLUE),
    ]))

    # ── Row 3: Two-column layout ─────────────────────────────────────────────
    # Left = primary source, Right = supplement
    half = (w - 2*mm) / 2

    # Primary source column
    pri_content = []
    pri_content.append(Table([[
        Paragraph("PRIMARY READ", LABEL_ST),
        Paragraph(primary_book.replace("Harrison's Principles of Internal Medicine 22E","Harrison's 22E"), 
                  S("PB", fontSize=7.5, fontName="Helvetica-Bold", textColor=colors.white, leading=10)),
    ]], colWidths=[20*mm, half - 22*mm]))
    pri_content[-1].setStyle(TableStyle([
        ("BACKGROUND", (0,0),(-1,-1), pri_color),
        ("BACKGROUND", (0,0),(0,0), colors.HexColor("#0D2B45") if pri_is_H else colors.HexColor("#5C0808")),
        ("VALIGN", (0,0),(-1,-1), "MIDDLE"),
        ("TOPPADDING", (0,0),(-1,-1), 4),
        ("BOTTOMPADDING",(0,0),(-1,-1), 4),
        ("LEFTPADDING", (0,0),(-1,-1), 6),
    ]))

    pri_content.append(Table([[
        Paragraph(f"<b>{primary_ch}</b>  ·  {primary_pages}",
                  S("PC", fontSize=9, fontName="Helvetica-Bold", textColor=pri_color, leading=13)),
    ]], colWidths=[half]))
    pri_content[-1].setStyle(TableStyle([
        ("BACKGROUND", (0,0),(-1,-1), pri_bg),
        ("TOPPADDING", (0,0),(-1,-1), 5),
        ("BOTTOMPADDING",(0,0),(-1,-1), 4),
        ("LEFTPADDING", (0,0),(-1,-1), 8),
        ("BOX", (0,0),(-1,-1), 0.5, pri_color),
    ]))

    # Sections list
    sec_rows = []
    for sec_text, is_key in primary_sections:
        icon = "★" if is_key else "→"
        fc   = C_GREEN if is_key else C_MUTED
        sec_rows.append([
            Paragraph(f"<font color='#{(C_GREEN if is_key else C_MUTED).hexval()[2:]}'>{icon}</font>  {sec_text}",
                      S("SecR", fontSize=8, fontName="Helvetica-Bold" if is_key else "Helvetica",
                        textColor=C_TEXT if is_key else C_MUTED, leading=12, leftIndent=4)),
        ])
    if sec_rows:
        sec_t = Table(sec_rows, colWidths=[half])
        sec_t.setStyle(TableStyle([
            ("BACKGROUND", (0,0),(-1,-1), pri_bg),
            ("TOPPADDING", (0,0),(-1,-1), 3),
            ("BOTTOMPADDING",(0,0),(-1,-1), 3),
            ("LEFTPADDING", (0,0),(-1,-1), 8),
            ("LINEBELOW", (0,0),(-1,-2), 0.3, C_GRAYMD),
            ("BOX", (0,0),(-1,-1), 0.5, pri_color),
        ]))
        pri_content.append(sec_t)

    # Supplement column
    sup_content = []
    sup_content.append(Table([[
        Paragraph("SUPPLEMENT ONLY", LABEL_ST),
        Paragraph(supp_book.replace("Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine","Braunwald's HD")
                            .replace("Harrison's Principles of Internal Medicine 22E","Harrison's 22E"),
                  S("SB2", fontSize=7.5, fontName="Helvetica-Bold", textColor=colors.white, leading=10)),
    ]], colWidths=[24*mm, half - 26*mm]))
    sup_content[-1].setStyle(TableStyle([
        ("BACKGROUND", (0,0),(-1,-1), sup_color),
        ("BACKGROUND", (0,0),(0,0), colors.HexColor("#0D2B45") if "Harrison" in supp_book
                                     else colors.HexColor("#5C0808")),
        ("VALIGN", (0,0),(-1,-1), "MIDDLE"),
        ("TOPPADDING", (0,0),(-1,-1), 4),
        ("BOTTOMPADDING",(0,0),(-1,-1), 4),
        ("LEFTPADDING", (0,0),(-1,-1), 6),
    ]))

    sup_content.append(Table([[
        Paragraph(f"<b>{supp_ch}</b>  ·  {supp_pages}  <font size='7' color='#C0392B'>(tables/figs only)</font>",
                  S("SC2", fontSize=8.5, fontName="Helvetica-Bold", textColor=sup_color, leading=13)),
    ]], colWidths=[half]))
    sup_content[-1].setStyle(TableStyle([
        ("BACKGROUND", (0,0),(-1,-1), sup_bg),
        ("TOPPADDING", (0,0),(-1,-1), 5),
        ("BOTTOMPADDING",(0,0),(-1,-1), 4),
        ("LEFTPADDING", (0,0),(-1,-1), 8),
        ("BOX", (0,0),(-1,-1), 0.5, sup_color),
    ]))

    sup_rows = []
    for item_name, extract in supp_items:
        sup_rows.append([
            Paragraph(f"<b>→ {item_name}:</b>",
                      S("IR", fontSize=7.5, fontName="Helvetica-Bold", textColor=sup_color, leading=11, leftIndent=4)),
            Paragraph(extract,
                      S("IE", fontSize=7.5, fontName="Helvetica", textColor=C_MUTED, leading=11, italic=True)),
        ])
    if sup_rows:
        sup_t = Table(sup_rows, colWidths=[half*0.4, half*0.6])
        sup_t.setStyle(TableStyle([
            ("BACKGROUND", (0,0),(-1,-1), sup_bg),
            ("TOPPADDING", (0,0),(-1,-1), 3),
            ("BOTTOMPADDING",(0,0),(-1,-1), 3),
            ("LEFTPADDING", (0,0),(-1,-1), 8),
            ("LINEBELOW", (0,0),(-1,-2), 0.3, C_GRAYMD),
            ("BOX", (0,0),(-1,-1), 0.5, sup_color),
        ]))
        sup_content.append(sup_t)

    # Two-column table
    pri_data = [[p] for p in pri_content]
    sup_data = [[p] for p in sup_content]

    pri_col = Table(pri_data, colWidths=[half])
    pri_col.setStyle(TableStyle([
        ("TOPPADDING", (0,0),(-1,-1), 0),
        ("BOTTOMPADDING",(0,0),(-1,-1), 0),
        ("LEFTPADDING", (0,0),(-1,-1), 0),
        ("RIGHTPADDING", (0,0),(-1,-1), 0),
    ]))
    sup_col = Table(sup_data, colWidths=[half])
    sup_col.setStyle(TableStyle([
        ("TOPPADDING", (0,0),(-1,-1), 0),
        ("BOTTOMPADDING",(0,0),(-1,-1), 0),
        ("LEFTPADDING", (0,0),(-1,-1), 0),
        ("RIGHTPADDING", (0,0),(-1,-1), 0),
    ]))

    two_col = Table([[pri_col, sup_col]], colWidths=[half, half])
    two_col.setStyle(TableStyle([
        ("VALIGN", (0,0),(-1,-1), "TOP"),
        ("TOPPADDING", (0,0),(-1,-1), 0),
        ("BOTTOMPADDING",(0,0),(-1,-1), 0),
        ("LEFTPADDING", (0,0),(-1,-1), 0),
        ("RIGHTPADDING", (0,0),(-1,-1), 1),
        ("COLPADDING", (0,0),(-1,-1), 1),
    ]))

    # ── Row 4: Overlap skip (what NOT to read) ───────────────────────────────
    if overlap_skip:
        skip_text = "  <b>SKIP (already covered):</b>  " + "   ·   ".join(overlap_skip)
        skip_row = Table([[
            Paragraph(skip_text, S("SR2", fontSize=7.5, fontName="Helvetica",
                                    textColor=C_OVERLAP, leading=11)),
        ]], colWidths=[w])
        skip_row.setStyle(TableStyle([
            ("BACKGROUND", (0,0),(-1,-1), colors.HexColor("#FFF5EE")),
            ("TOPPADDING", (0,0),(-1,-1), 4),
            ("BOTTOMPADDING",(0,0),(-1,-1), 4),
            ("LEFTPADDING", (0,0),(-1,-1), 8),
            ("BOX", (0,0),(-1,-1), 0.5, C_OVERLAP),
        ]))
    else:
        skip_row = None

    # ── Row 5: Exam focus ────────────────────────────────────────────────────
    exam_row = Table([[
        Paragraph("★ EXAM FOCUS:", S("EH", fontSize=8, fontName="Helvetica-Bold",
                                      textColor=C_NAVY, leading=11)),
        Paragraph(exam_focus, S("EB", fontSize=7.5, fontName="Helvetica",
                                 textColor=C_TEXT, leading=11)),
    ]], colWidths=[22*mm, w - 22*mm])
    exam_row.setStyle(TableStyle([
        ("BACKGROUND", (0,0),(-1,-1), C_AMBERLT),
        ("BACKGROUND", (0,0),(0,0), colors.HexColor("#FDE8B3")),
        ("TOPPADDING", (0,0),(-1,-1), 5),
        ("BOTTOMPADDING",(0,0),(-1,-1), 5),
        ("LEFTPADDING", (0,0),(-1,-1), 8),
        ("BOX", (0,0),(-1,-1), 0.8, C_AMBER),
        ("VALIGN", (0,0),(-1,-1), "TOP"),
    ]))

    # ── Assemble outer wrapper ────────────────────────────────────────────────
    inner = [day_row, topic_row, two_col]
    if skip_row:
        inner.append(skip_row)
    inner.append(exam_row)

    outer_data = [[p] for p in inner]
    outer = Table(outer_data, colWidths=[w])
    outer.setStyle(TableStyle([
        ("TOPPADDING", (0,0),(-1,-1), 0),
        ("BOTTOMPADDING",(0,0),(-1,-1), 0),
        ("LEFTPADDING", (0,0),(-1,-1), 0),
        ("RIGHTPADDING", (0,0),(-1,-1), 0),
        ("BOX", (0,0),(-1,-1), 1.5, C_BLUE),
    ]))
    return outer

# ══════════════════════════════════════════════════════════════════════════════
# CONTENT DEFINITIONS
# ══════════════════════════════════════════════════════════════════════════════

TOPICS = [

    # ── Day 1: STEMI ──────────────────────────────────────────────────────────
    dict(
        day=1, date_str="Saturday, June 27",
        topic="STEMI – ST-Elevation Myocardial Infarction",
        time_est="3.5 h total",
        primary_book="Harrison's Principles of Internal Medicine 22E",
        primary_ch="Ch 286",
        primary_pages="pp 1823–1842  (~19 pages)",
        primary_sections=[
            ("Pathophysiology & ECG localisation (territory → artery map)", True),
            ("Reperfusion: Primary PCI – door-to-balloon 90/120 min thresholds", True),
            ("Reperfusion: Fibrinolysis – door-to-needle 30 min; absolute contraindications", True),
            ("Antithrombotic regimen: Aspirin + Ticagrelor + UFH/Bivalirudin", True),
            ("RV Infarction: V4R lead, avoid nitrates/diuretics, fluid load", True),
            ("Mechanical complications: VSD, MR, free wall rupture – timing", True),
            ("Post-MI GDMT initiation (BB, ACEi, statin, DAPT duration)", True),
            ("Cardiogenic shock: haemodynamic support overview", False),
        ],
        supp_book="Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine",
        supp_ch="Ch 59",
        supp_pages="pp 1058–1118",
        supp_items=[
            ("Fig 59-2", "Reperfusion decision tree – PCI vs fibrinolysis with time nodes"),
            ("Table 59-3", "Full antithrombotic regimens for PCI vs fibrinolysis scenarios"),
            ("Table 59-4", "Complete fibrinolytic contraindications list – memorise"),
            ("Fig 59-6", "Mechanical complication diagrams (VSD, papillary rupture, free wall)"),
            ("Box 59-2 (STREAM)", "Pharmaco-invasive vs PCI in rural STEMI"),
        ],
        overlap_skip=[
            "Braunwald Ch 59 pathophysiology text (same as Harrison's)",
            "Braunwald Ch 59 ECG section (covered in Harrison's)",
            "Braunwald post-MI drug list (covered in Harrison's)",
        ],
        exam_focus="D2B <90 min (direct), <120 min (transfer). D2N <30 min. Fibrinolysis: tPA 0.9 mg/kg max 90mg. RV infarct: avoid nitrates. Posterior MI: ST depression V1–V3. New LBBB = STEMI equivalent.",
        marrow_qs="30",
    ),

    # ── Day 2: NSTEMI ─────────────────────────────────────────────────────────
    dict(
        day=2, date_str="Sunday, June 28",
        topic="NSTEMI / Unstable Angina – Non-ST-Elevation ACS",
        time_est="3 h total",
        primary_book="Harrison's Principles of Internal Medicine 22E",
        primary_ch="Ch 285",
        primary_pages="pp 1808–1822  (~14 pages)",
        primary_sections=[
            ("Clinical presentation, Killip class, differential diagnosis", True),
            ("Troponin kinetics – high-sensitivity assay 0/1h or 0/3h protocols", True),
            ("TIMI score (0–7) and GRACE score – risk stratification thresholds", True),
            ("Antiplatelet: Aspirin 325mg + Ticagrelor 180mg (PLATO trial result)", True),
            ("Anticoagulation: Fondaparinux preferred (avoid if PCI) vs UFH/enoxaparin", True),
            ("Invasive vs conservative strategy – timing criteria (<2h, <24h, <72h)", True),
            ("Secondary prevention: statin (LDL <70), ACEi, BB, DAPT 12 months", True),
            ("GP IIb/IIIa inhibitors – now limited to bailout PCI only", False),
        ],
        supp_book="Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine",
        supp_ch="Ch 58",
        supp_pages="pp 1011–1057",
        supp_items=[
            ("Fig 58-5", "Antithrombotic algorithm – Fondaparinux vs enoxaparin vs UFH decision"),
            ("Fig 58-7", "Invasive strategy timing flowchart (immediate/early/deferred)"),
            ("Table 58-3 (PLATO)", "Ticagrelor vs Clopidogrel outcomes head-to-head data"),
            ("Table 58-4 (P2Y12)", "Ticagrelor vs Prasugrel vs Clopidogrel comparison table"),
        ],
        overlap_skip=[
            "Braunwald Ch 58 clinical presentation (same as Harrison's)",
            "Braunwald Ch 58 pathophysiology text (covered Day 1 as it's largely shared)",
            "Braunwald Ch 58 secondary prevention section (Harrison's covers this)",
        ],
        exam_focus="Ticagrelor > Clopidogrel (PLATO: 20% RRR). Fondaparinux: avoid if PCI planned (use UFH/bivalirudin). GRACE >140 or TIMI ≥3 = early invasive strategy. Morphine decreases P2Y12 drug absorption.",
        marrow_qs="30",
    ),

    # ── Day 3: Heart Failure ─────────────────────────────────────────────────
    dict(
        day=3, date_str="Monday, June 29",
        topic="Heart Failure – HFrEF, HFpEF & Acute Decompensation",
        time_est="4 h total",
        primary_book="Harrison's Principles of Internal Medicine 22E",
        primary_ch="Ch 279",
        primary_pages="pp 1732–1757  (~25 pages)",
        primary_sections=[
            ("HFrEF (<40%) vs HFmrEF (40-49%) vs HFpEF (≥50%) definitions + pathophysiology", True),
            ("GDMT Pillar 1: ACEi/ARB – ramipril/enalapril; switch to ARNI if tolerating", True),
            ("GDMT Pillar 2: ARNI (Sacubitril/Valsartan) – PARADIGM-HF: 20% RRR; 36h washout from ACEi", True),
            ("GDMT Pillar 3: BB – carvedilol/bisoprolol/metoprolol succinate ONLY (NOT atenolol)", True),
            ("GDMT Pillar 4: MRA – spironolactone (eGFR >30, K <5.0); RALES/EMPHASIS trials", True),
            ("GDMT Pillar 5: SGLT2i – dapagliflozin (DAPA-HF), empagliflozin (EMPEROR-Reduced); non-diabetics benefit", True),
            ("Device therapy: ICD (EF <35%, NYHA II-III, ≥3 months GDMT), CRT (LBBB + EF <35%)", True),
            ("Acute decompensated HF: IV furosemide, vasodilators, BiPAP; Forrester profile approach", True),
            ("HFpEF management: SGLT2i (EMPEROR-Preserved), diuretics; no survival benefit from ACEi/BB", True),
            ("BNP/NT-proBNP: cutoffs, causes of falsely low (obesity) and falsely high (renal failure)", False),
        ],
        supp_book="Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine",
        supp_ch="Ch 53",
        supp_pages="pp 836–889",
        supp_items=[
            ("Fig 53-1", "Step-by-step GDMT initiation and titration algorithm – best single figure"),
            ("Table 53-2", "All GDMT drugs: trial name, dose, NNT/ARR – comprehensive evidence table"),
            ("Table 53-7", "ICD/CRT criteria with all NYHA class thresholds tabulated"),
            ("Box 53-3", "ARNI: PARADIGM-HF full NNT data + switching protocol details"),
        ],
        overlap_skip=[
            "Braunwald Ch 52 (pathophysiology) – read only Forrester table + neurohormonal summary box",
            "Braunwald Ch 53 text sections – all management narrative covered by Harrison's Ch 279",
            "Braunwald Ch 53 diuretic pharmacology section – not exam-tested at this level",
        ],
        exam_focus="5-drug GDMT (ACEi/ARNI + BB + MRA + SGLT2i + now Vericiguat/Ivabradine optional). ARNI 36h washout from ACEi. SGLT2i benefit in non-diabetics. ICD EF <35% + 3 months GDMT. HFpEF: SGLT2i is only proven agent. EMPEROR-Preserved: empagliflozin.",
        marrow_qs="30",
    ),

    # ── Day 4: Valvular ──────────────────────────────────────────────────────
    dict(
        day=4, date_str="Tuesday, June 30",
        topic="Valvular Heart Disease – AS, MR, MS, AR",
        time_est="3.5 h total",
        primary_book="Harrison's Principles of Internal Medicine 22E",
        primary_ch="Ch 282",
        primary_pages="pp 1775–1799  (~24 pages)",
        primary_sections=[
            ("AS severity: AVA <1 cm², mean gradient >40 mmHg, Vmax >4 m/s", True),
            ("AS intervention criteria – class I: symptomatic severe OR EF <50% + severe AS", True),
            ("TAVI vs SAVR: PARTNER 3 (low risk), PARTNER 2 (intermediate), PARTNER 1 (high risk)", True),
            ("Paradoxical low-flow low-gradient AS: normal EF + low gradient + low AVA → dobutamine echo", True),
            ("MR (primary): surgery if EF <60% OR LVESD >40 mm; repair preferred over replacement", True),
            ("MS: MVA <1.5 cm²; PBMC if Wilkins ≤8, no LA thrombus, no moderate+ MR", True),
            ("AR: surgery if symptomatic OR EF <50% OR LVESD >50 mm (or >25 mm/m²)", True),
            ("RHD penicillin prophylaxis: 10 yr or until age 40 (whichever longer); severe MR: lifelong", True),
            ("Prosthetic valve anticoagulation: mechanical → warfarin; bioprosthetic → aspirin ±3 months anticoag", False),
            ("IE prophylaxis: limited to prosthetic valves, prior IE, unrepaired cyanotic CHD", False),
        ],
        supp_book="Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine",
        supp_ch="Ch 75–78",
        supp_pages="pp 1385–1519",
        supp_items=[
            ("Table 75-4 (AS)", "AHA 2021 intervention indications by class – all criteria tabulated"),
            ("AS Natural Hx Fig", "Classic triad onset: Angina 3yr → Syncope 2yr → Dyspnea 1yr"),
            ("PARTNER Trial Box", "PARTNER 1/2/3 + EVOLUT results summary by surgical risk tier"),
            ("Table 76-2 (MR)", "Primary vs secondary MR surgical timing thresholds"),
            ("Table 77-3 (MS)", "Wilkins score: all 4 components scored 1-4 (memorise)"),
            ("Fig 78-4 (AR)", "AR management decision flowchart – EF + LVESD thresholds"),
        ],
        overlap_skip=[
            "Braunwald narrative sections for each valve (Harrison's covers all clinical content)",
            "Braunwald Ch 79 anticoagulation chapter – Harrison's has adequate summary",
        ],
        exam_focus="AS: AVA <1, gradient >40, Vmax >4. MR surgery: EF <60% or LVESD >40. MS PBMC: Wilkins ≤8. AR surgery: EF <50% or LVESD >50. PARTNER 3: TAVI = SAVR at low risk. Prophylaxis: penicillin 10yr or age 40.",
        marrow_qs="25",
    ),

    # ── Day 5: Arrhythmias ───────────────────────────────────────────────────
    dict(
        day=5, date_str="Wednesday, July 1",
        topic="Cardiac Arrhythmias – AF, SVT, VT, Channelopathies",
        time_est="4 h total",
        primary_book="Harrison's Principles of Internal Medicine 22E",
        primary_ch="Ch 281  (+ Ch 280 skim)",
        primary_pages="pp 1765–1800  (~35 pages, starred sections only)",
        primary_sections=[
            ("AF classification: paroxysmal/persistent/long-standing/permanent definitions", True),
            ("AF rate control: BB > diltiazem/verapamil > digoxin; lenient <110 (RACE II)", True),
            ("AF rhythm control: EAST-AFNET 4 – early rhythm control superior at 5 yr", True),
            ("AF rhythm control drugs: Flecainide (no structural), Amiodarone, Dronedarone", True),
            ("AF anticoagulation: CHA₂DS₂-VASc ≥2 (men)/≥3 (women) → OAC; DOACs > warfarin", True),
            ("Valvular AF (rheumatic MS, mechanical valve): warfarin ONLY – no DOACs", True),
            ("AF ablation: pulmonary vein isolation – success ~70%; repeat procedures common", True),
            ("AVNRT vs AVRT: mechanism, Adenosine 6mg→12mg, ablation 95% cure", True),
            ("VT: haemodynamically stable vs unstable management; ICD indications", True),
            ("Long QT: subtypes 1/2/3, triggers (LQT1 exercise, LQT2 sounds, LQT3 sleep), drugs to avoid", True),
            ("Brugada syndrome: Type 1 ECG (coved pattern V1-V3), fever trigger, ICD", True),
            ("Torsades de Pointes: QTc >500, IV MgSO₄ 2g, stop offending drug, overdrive pacing", True),
            ("Ch 280 mechanisms: only reentry + triggered activity paragraphs", False),
        ],
        supp_book="Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine",
        supp_ch="Ch 64–65",
        supp_pages="pp 1199–1302",
        supp_items=[
            ("Table 64-1", "CHA₂DS₂-VASc full scoring table – 8 components + point values"),
            ("Table 64-3", "Rate control drug IV + oral doses, contraindications"),
            ("Fig 64-7", "Rhythm control decision incorporating EAST-AFNET 4 evidence"),
            ("Table 65-8", "Channelopathy comparison: LQT1/2/3 + Brugada – triggers + Rx"),
        ],
        overlap_skip=[
            "Braunwald Ch 64 AF text narrative (identical content to Harrison's Ch 281)",
            "Braunwald Ch 65 VT/SVT clinical text (covered fully in Harrison's)",
            "Braunwald EP mechanisms chapter (too detailed; Ch 280 skim is sufficient)",
        ],
        exam_focus="CHA₂DS₂-VASc (8 components, ≥2 men). Valvular AF → warfarin only. RACE II lenient <110. EAST-AFNET 4: rhythm control superior. LQT1=exercise, LQT2=auditory, LQT3=sleep. Brugada: coved V1-V3. Torsades: IV MgSO₄ first.",
        marrow_qs="30",
    ),

    # ── Day 6: CMP + Pericardial ─────────────────────────────────────────────
    dict(
        day=6, date_str="Thursday, July 2",
        topic="Cardiomyopathies & Pericardial Disease",
        time_est="3 h total",
        primary_book="Harrison's Principles of Internal Medicine 22E",
        primary_ch="Ch 283–284",
        primary_pages="pp 1800–1808  (~8 pages, all sections)",
        primary_sections=[
            ("HCM: SAM, dynamic LVOT gradient, septal hypertrophy ≥15 mm", True),
            ("HCM SCD risk (AHA 2020): septum ≥30mm, NSVT, family hx SCD, unexplained syncope, abnormal BP response", True),
            ("HCM management: BB/verapamil → Mavacamten (EXPLORER-HCM) → septal ablation/myectomy", True),
            ("HCM + AF: anticoagulate regardless of CHA₂DS₂-VASc (all patients)", True),
            ("DCM: causes (alcohol, thyroid, viral, peripartum, drug-induced) – manage reversible", True),
            ("ARVC: epsilon wave, T-wave inversion V1-V3, fatty infiltration; SCD in athletes", True),
            ("Restrictive CM vs Constrictive pericarditis: key differentiating features", True),
            ("Acute pericarditis: 2/4 criteria, NSAIDs + Colchicine (COPE trial – halves recurrence)", True),
            ("Tamponade: Beck's triad, pulsus paradoxus >10, electrical alternans, RA collapse on echo", True),
            ("Constrictive pericarditis: Kussmaul's sign (NOT in tamponade), equalization pressures, square root sign", True),
            ("Uraemic pericarditis: dialysis indication even without haemodynamic compromise", True),
        ],
        supp_book="Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine",
        supp_ch="Ch 71–72",
        supp_pages="pp 1303–1380",
        supp_items=[
            ("Table 71-2 (HCM SCD)", "AHA 2020 risk calculator – 5 factors + 5-year ICD threshold"),
            ("Fig 71-5 (HCM Rx)", "Medical (Mavacamten/disopyramide) vs invasive algorithm"),
            ("Box 71-3 Mavacamten", "EXPLORER-HCM: mechanism + 27% improvement in functional class"),
            ("Table 72-4", "Constrictive vs Restrictive CM: side-by-side echo + catheter data"),
            ("ESC 2015 Box", "Pericarditis evidence table: Aspirin + Colchicine; steroid avoidance"),
        ],
        overlap_skip=[
            "Braunwald DCM/ARVC text (Harrison's is sufficient for NEET SS level)",
            "Braunwald Ch 72 tamponade narrative (Harrison's covers clinical adequately)",
            "Braunwald Ch 73 RCM chapter (too detailed; only restrictive vs constrictive table needed)",
        ],
        exam_focus="HCM+AF → always anticoagulate. Mavacamten: cardiac myosin inhibitor. SCD risk ≥30mm septum. Kussmaul's sign: ONLY constrictive pericarditis (NOT tamponade). Uraemic pericarditis → dialysis. COPE trial: colchicine halves pericarditis recurrence.",
        marrow_qs="25",
    ),
]

# ══════════════════════════════════════════════════════════════════════════════
# STORY BUILD
# ══════════════════════════════════════════════════════════════════════════════

def build_story():
    story = []

    # ── Cover ──────────────────────────────────────────────────────────────────
    story.append(sp(48))
    story.append(Paragraph("NEET SS  ·  Week 1  ·  Optimized Reading Guide", TITLE_ST))
    story.append(sp(2))
    story.append(Paragraph("CARDIOLOGY", AMBER_ST))
    story.append(sp(3))
    story.append(Paragraph("Harrison's 22E  +  Braunwald's Heart Disease  –  Non-Redundant", SUB_ST))
    story.append(Paragraph("June 27 – July 3, 2026  ·  Day 1 – Day 6  ·  Day 7 = Full Subject Test", SUB_ST))
    story.append(sp(8))

    # Cover principle box
    principles = [
        [Paragraph("Optimization Principles", S("PP", fontSize=11, fontName="Helvetica-Bold",
                                                  textColor=C_NAVY, leading=14))],
        [Paragraph("<b>1. One primary source per topic.</b>  Harrison's 22E is your primary read for all topics. "
                   "Braunwald's is supplementary – specific tables and figures only.",
                   S("P1", fontSize=9, fontName="Helvetica", textColor=C_TEXT, leading=13))],
        [Paragraph("<b>2. Overlap explicitly listed.</b>  Each topic block shows exactly what to SKIP in Braunwald's "
                   "to avoid re-reading the same content.", S("P2", fontSize=9, fontName="Helvetica",
                                                               textColor=C_TEXT, leading=13))],
        [Paragraph("<b>3. Braunwald's used only for 3 things:</b>  Algorithm figures (better drawn), "
                   "Guideline tables (more complete), Landmark trial summaries (concise boxes).",
                   S("P3", fontSize=9, fontName="Helvetica", textColor=C_TEXT, leading=13))],
        [Paragraph("<b>4. Estimated time per day already deducted for overlap.</b>  Each block shows net "
                   "reading time after skipping redundant sections.",
                   S("P4", fontSize=9, fontName="Helvetica", textColor=C_TEXT, leading=13))],
        [Paragraph("★ = Must read for NEET SS    →  = Read if time permits    "
                   "<font color='#FF6B35'>■  Orange = skip (overlap eliminated)</font>",
                   S("P5", fontSize=8.5, fontName="Helvetica-Bold", textColor=C_NAVY, leading=12))],
    ]
    pt = Table(principles, colWidths=[130*mm])
    pt.setStyle(TableStyle([
        ("BACKGROUND", (0,0),(-1,-1), C_SKYLT),
        ("BACKGROUND", (0,0),(0,0), C_SKY),
        ("BOX", (0,0),(-1,-1), 1.5, C_BLUE),
        ("TOPPADDING", (0,0),(-1,-1), 6),
        ("BOTTOMPADDING",(0,0),(-1,-1), 5),
        ("LEFTPADDING", (0,0),(-1,-1), 14),
    ]))
    story.append(pt)
    story.append(PageBreak())

    # ── Time saving summary ───────────────────────────────────────────────────
    story.append(banner("TIME SAVINGS vs Non-Optimized Reading", C_NAVY))
    story.append(sp(3))

    savings_data = [
        ["Topic", "Old approach (both books full)", "Optimized approach", "Time saved"],
        ["STEMI", "Harrison's 19pg + Braunwald Ch59 60pg = 79pg", "Harrison's 19pg + Braunwald 5 items (figs/tables)", "~2.5 hours"],
        ["NSTEMI", "Harrison's 14pg + Braunwald Ch58 47pg = 61pg", "Harrison's 14pg + Braunwald 4 items", "~2 hours"],
        ["Heart Failure", "Harrison's 25pg + Braunwald Ch52+53 90pg = 115pg", "Harrison's 25pg + Braunwald 4 tables/figs", "~3.5 hours"],
        ["Valvular", "Harrison's 24pg + Braunwald Ch75-78 135pg = 159pg", "Harrison's 24pg + Braunwald 6 tables", "~4 hours"],
        ["Arrhythmias", "Harrison's 35pg + Braunwald Ch64-65 104pg = 139pg", "Harrison's 35pg + Braunwald 4 tables/figs", "~3.5 hours"],
        ["CMP+Pericardial", "Harrison's 8pg + Braunwald Ch71-72 78pg = 86pg", "Harrison's 8pg + Braunwald 5 tables/figs", "~2.5 hours"],
        ["TOTAL", "~639 pages over 7 days", "~125 pages + targeted supplementing", "~18 hours saved"],
    ]
    sv_t = Table(savings_data, colWidths=[28*mm, 67*mm, 60*mm, 22*mm])
    sv_t.setStyle(TableStyle([
        ("BACKGROUND", (0,0),(-1,0), C_NAVY),
        ("TEXTCOLOR", (0,0),(-1,0), colors.white),
        ("FONTNAME", (0,0),(-1,0), "Helvetica-Bold"),
        ("FONTSIZE", (0,0),(-1,-1), 8),
        ("FONTNAME", (0,1),(-1,-1), "Helvetica"),
        ("GRID", (0,0),(-1,-1), 0.5, C_GRAYMD),
        ("ROWBACKGROUNDS", (0,1),(-1,-2), [C_GRAY, colors.white]),
        ("BACKGROUND", (0,-1),(-1,-1), C_GREENLT),
        ("FONTNAME", (0,-1),(-1,-1), "Helvetica-Bold"),
        ("TEXTCOLOR", (0,-1),(-1,-1), C_GREEN),
        ("TEXTCOLOR", (3,1),(3,-1), C_RED),
        ("FONTNAME", (3,1),(3,-1), "Helvetica-Bold"),
        ("VALIGN", (0,0),(-1,-1), "MIDDLE"),
        ("TOPPADDING", (0,0),(-1,-1), 5),
        ("BOTTOMPADDING", (0,0),(-1,-1), 5),
        ("LEFTPADDING", (0,0),(-1,-1), 6),
    ]))
    story.append(sv_t)
    story.append(sp(4))

    # Week overview bar
    story.append(banner("WEEK 1 DAILY OVERVIEW", C_BLUE))
    story.append(sp(3))

    ov_data = [["Day", "Date", "Topic", "Primary (Harrison's)", "Supplement (Braunwald's)", "Qs"]]
    ov_rows = [
        ["1", "27 Jun", "STEMI", "Ch 286  pp 1823–1842", "Ch 59: Fig 59-2, Table 59-3, Table 59-4", "30"],
        ["2", "28 Jun", "NSTEMI/UA", "Ch 285  pp 1808–1822", "Ch 58: Fig 58-5, 58-7, Table 58-3", "30"],
        ["3", "29 Jun", "Heart Failure", "Ch 279  pp 1732–1757", "Ch 53: Fig 53-1, Table 53-2, 53-7", "30"],
        ["4", "30 Jun", "Valvular VHD", "Ch 282  pp 1775–1799", "Ch 75-78: Table 75-4, 76-2, 77-3", "25"],
        ["5", "1 Jul",  "Arrhythmias", "Ch 281  pp 1765–1800", "Ch 64-65: Table 64-1, 64-3, 65-8", "30"],
        ["6", "2 Jul",  "CMP + Pericardial", "Ch 283-284  pp 1800–1808", "Ch 71-72: Table 71-2, 72-4", "25"],
        ["7", "3 Jul",  "REVISION", "Review starred sections + wrong Qs only", "No new Braunwald", "50"],
    ]
    all_ov = ov_data + ov_rows
    ov_t = Table(all_ov, colWidths=[9*mm, 14*mm, 30*mm, 42*mm, 58*mm, 10*mm])
    ov_t.setStyle(TableStyle([
        ("BACKGROUND", (0,0),(-1,0), C_NAVY),
        ("TEXTCOLOR", (0,0),(-1,0), colors.white),
        ("FONTNAME", (0,0),(-1,0), "Helvetica-Bold"),
        ("FONTSIZE", (0,0),(-1,-1), 8),
        ("FONTNAME", (0,1),(-1,-1), "Helvetica"),
        ("GRID", (0,0),(-1,-1), 0.5, C_GRAYMD),
        ("ROWBACKGROUNDS", (0,1),(-1,-2), [C_SKYLT, colors.white]),
        ("BACKGROUND", (0,-1),(-1,-1), C_GREENLT),
        ("FONTNAME", (0,-1),(-1,-1), "Helvetica-Bold"),
        ("TEXTCOLOR", (0,-1),(-1,-1), C_GREEN),
        ("VALIGN", (0,0),(-1,-1), "MIDDLE"),
        ("TOPPADDING", (0,0),(-1,-1), 5),
        ("BOTTOMPADDING", (0,0),(-1,-1), 5),
        ("LEFTPADDING", (0,0),(-1,-1), 5),
    ]))
    story.append(ov_t)
    story.append(PageBreak())

    # ── Topic blocks ──────────────────────────────────────────────────────────
    for td in TOPICS:
        blk = topic_block(**td)
        story.append(KeepTogether([blk, sp(4)]))
        story.append(PageBreak())

    # ── Day 7 Revision Page ───────────────────────────────────────────────────
    story.append(banner("Day 7  (July 3) — Full Cardiology Subject Test + Revision", C_GREEN))
    story.append(sp(3))

    rev_items = [
        ("DO", "Re-read ONLY starred ★ sections from Harrison's Ch 279–286 (your notes, not full chapters)"),
        ("DO", "Attempt Marrow Cardiology Subject Test (50 Qs) as if exam conditions"),
        ("DO", "For every wrong answer: note Harrison's chapter + page in Weak Topics Log"),
        ("DO", "Re-read Braunwald figures/tables for any topic where you scored <50% accuracy"),
        ("NUMBERS", "D2B 90/120 min · D2N 30 min · tPA 0.9mg/kg max 90mg · RV infarct avoid nitrates"),
        ("NUMBERS", "GDMT 5-drug · ARNI 36h washout · ICD EF <35% + 3 months · HFpEF: SGLT2i only"),
        ("NUMBERS", "AS AVA <1 · MR EF <60% LVESD >40 · MS Wilkins ≤8 · AR EF <50% LVESD >50"),
        ("NUMBERS", "CHA₂DS₂-VASc ≥2/≥3 · Valvular AF warfarin only · RACE II <110 · EAST-AFNET 4 rhythm"),
        ("NUMBERS", "HCM SCD: septum ≥30mm · Mavacamten EXPLORER-HCM · Kussmaul = constrictive ONLY"),
        ("SKIP",    "Do NOT open Braunwald today – no new reading in revision sessions"),
        ("TARGET",  "Target: >65% (acceptable) | >75% (excellent) on Day 7 test"),
    ]

    rev_rows = []
    for tag, text in rev_items:
        if tag == "DO":
            icon_col = Paragraph("✓", S("IC", fontSize=11, fontName="Helvetica-Bold",
                                         textColor=C_GREEN, alignment=TA_CENTER, leading=14))
            bg = C_GREENLT
        elif tag == "NUMBERS":
            icon_col = Paragraph("★", S("IC2", fontSize=11, fontName="Helvetica-Bold",
                                          textColor=C_AMBER, alignment=TA_CENTER, leading=14))
            bg = C_AMBERLT
        elif tag == "SKIP":
            icon_col = Paragraph("✗", S("IC3", fontSize=11, fontName="Helvetica-Bold",
                                          textColor=C_RED, alignment=TA_CENTER, leading=14))
            bg = C_REDLT
        else:
            icon_col = Paragraph("→", S("IC4", fontSize=11, fontName="Helvetica-Bold",
                                          textColor=C_BLUE, alignment=TA_CENTER, leading=14))
            bg = C_SKY

        rev_rows.append([
            icon_col,
            Paragraph(text, S("RT", fontSize=8.5, fontName="Helvetica", textColor=C_TEXT, leading=12)),
        ])

    rev_t = Table(rev_rows, colWidths=[10*mm, COL_W - 10*mm])
    rev_t.setStyle(TableStyle([
        ("ROWBACKGROUNDS", (0,0),(-1,-1), [C_GREENLT, C_GREENLT, C_GREENLT, C_GREENLT,
                                            C_AMBERLT, C_AMBERLT, C_AMBERLT, C_AMBERLT,
                                            C_AMBERLT, C_REDLT, C_SKYLT]),
        ("VALIGN", (0,0),(-1,-1), "MIDDLE"),
        ("TOPPADDING", (0,0),(-1,-1), 6),
        ("BOTTOMPADDING",(0,0),(-1,-1), 6),
        ("LEFTPADDING", (0,0),(-1,-1), 8),
        ("BOX", (0,0),(-1,-1), 1.5, C_GREEN),
        ("GRID", (0,0),(-1,-1), 0.3, C_GRAYMD),
    ]))
    story.append(rev_t)
    story.append(sp(5))

    # ── Landmark Trials ───────────────────────────────────────────────────────
    story.append(banner("Landmark Trials – Cardiology Quick Reference", C_NAVY))
    story.append(sp(3))

    trials = [
        ["Trial", "Drug / Comparison", "Population", "Key Result (memorise)"],
        ["PARADIGM-HF", "Sacubitril/Valsartan vs Enalapril", "HFrEF EF <40%", "20% RRR CV death/HF hosp"],
        ["DAPA-HF", "Dapagliflozin vs placebo", "HFrEF (incl. non-DM)", "26% RRR HF events; 18% CV death"],
        ["EMPEROR-Red", "Empagliflozin vs placebo", "HFrEF (incl. non-DM)", "25% RRR CV death/HF hosp"],
        ["EMPEROR-Pres", "Empagliflozin vs placebo", "HFpEF EF ≥40%", "21% RRR; first proven HFpEF benefit"],
        ["PLATO", "Ticagrelor vs Clopidogrel", "ACS all types", "20% RRR CV death/MI/stroke; more bleeding"],
        ["PARTNER 3", "TAVI vs SAVR", "Severe AS low surgical risk", "TAVI non-inferior at 2yr; trend superior"],
        ["EAST-AFNET 4", "Early rhythm control vs rate", "AF ≤1yr, CV risk factors", "21% RRR CV outcomes at 5yr"],
        ["RACE II", "Lenient (<110) vs strict (<80)", "Permanent AF", "Lenient non-inferior; fewer drug side effects"],
        ["EXPLORER-HCM", "Mavacamten vs placebo", "Obstructive HCM", "27% improved functional class; LVOT relief"],
        ["COPE/ICAP", "Colchicine vs placebo", "Acute/recurrent pericarditis", "Halves recurrence rate at 18 months"],
        ["STREAM", "Pharmaco-invasive vs PCI", "STEMI, PCI delay >60 min", "Non-inferior outcomes; viable rural strategy"],
        ["DAPA-CKD", "Dapagliflozin", "CKD + proteinuria (incl. non-DM)", "39% RRR kidney failure/CV death"],
    ]

    tt = Table(trials, colWidths=[28*mm, 48*mm, 46*mm, 45*mm])
    tt.setStyle(TableStyle([
        ("BACKGROUND", (0,0),(-1,0), C_NAVY),
        ("TEXTCOLOR", (0,0),(-1,0), colors.white),
        ("FONTNAME", (0,0),(-1,0), "Helvetica-Bold"),
        ("FONTSIZE", (0,0),(-1,-1), 8),
        ("FONTNAME", (0,1),(0,-1), "Helvetica-Bold"),
        ("TEXTCOLOR", (0,1),(0,-1), C_NAVY),
        ("TEXTCOLOR", (3,1),(3,-1), C_GREEN),
        ("FONTNAME", (3,1),(3,-1), "Helvetica-Bold"),
        ("GRID", (0,0),(-1,-1), 0.5, C_GRAYMD),
        ("ROWBACKGROUNDS", (0,1),(-1,-1), [C_GRAY, colors.white]),
        ("VALIGN", (0,0),(-1,-1), "MIDDLE"),
        ("TOPPADDING", (0,0),(-1,-1), 5),
        ("BOTTOMPADDING",(0,0),(-1,-1), 5),
        ("LEFTPADDING", (0,0),(-1,-1), 6),
    ]))
    story.append(tt)

    return story

# ── Build PDF ──────────────────────────────────────────────────────────────────
TMP  = "/tmp/NEET_SS_Cardiology_Optimized.pdf"
DEST = "/home/daytona/workspace/neet-ss-guide/NEET_SS_Cardiology_Optimized.pdf"

doc = SimpleDocTemplate(
    TMP, pagesize=A4,
    leftMargin=MARGIN, rightMargin=MARGIN,
    topMargin=16*mm, bottomMargin=12*mm,
    title="NEET SS Week 1 Cardiology – Optimized Reading Guide",
    author="Orris",
)
story = build_story()
doc.build(story, onFirstPage=cover_bg, onLaterPages=page_hdr_ftr)

with open(TMP, "rb") as src, open(DEST, "wb") as dst:
    dst.write(src.read())
print(f"Saved: {DEST}")

"""
NEET SS Cardiology – 7-Topic Comparison Flashcard (Single A3 Landscape Page)
Dense, last-day revision format. All 7 topics in a grid.
"""

from reportlab.lib.pagesizes import A3, landscape
from reportlab.lib import colors
from reportlab.lib.units import mm
from reportlab.platypus import (
    SimpleDocTemplate, Table, TableStyle, Paragraph, Spacer
)
from reportlab.lib.styles import ParagraphStyle
from reportlab.lib.enums import TA_CENTER, TA_LEFT
from reportlab.pdfgen import canvas as pdfcanvas

PAGE_W, PAGE_H = landscape(A3)
MARGIN = 8 * mm

# ── Palette ───────────────────────────────────────────────────────────────────
C = {
    "navy":    colors.HexColor("#0D2137"),
    "blue":    colors.HexColor("#1A5276"),
    "sky":     colors.HexColor("#D6EAF8"),
    "skylt":   colors.HexColor("#EBF5FB"),
    "green":   colors.HexColor("#145A32"),
    "greenlt": colors.HexColor("#D5F5E3"),
    "amber":   colors.HexColor("#B7770D"),
    "amberlt": colors.HexColor("#FEF9E7"),
    "red":     colors.HexColor("#922B21"),
    "redlt":   colors.HexColor("#FADBD8"),
    "purple":  colors.HexColor("#6C3483"),
    "purplt":  colors.HexColor("#E8DAEF"),
    "teal":    colors.HexColor("#0E6655"),
    "teallt":  colors.HexColor("#D1F2EB"),
    "brown":   colors.HexColor("#784212"),
    "brownlt": colors.HexColor("#FDEBD0"),
    "gray":    colors.HexColor("#F2F3F4"),
    "graymd":  colors.HexColor("#AEB6BF"),
    "white":   colors.white,
    "black":   colors.HexColor("#0A0A0A"),
    "muted":   colors.HexColor("#5D6D7E"),
}

def S(name, sz=7, bold=False, color="black", italic=False, align=TA_LEFT, leading=None):
    return ParagraphStyle(
        name,
        fontSize=sz,
        fontName="Helvetica-Bold" if bold else ("Helvetica-Oblique" if italic else "Helvetica"),
        textColor=C[color] if isinstance(color, str) else color,
        alignment=align,
        leading=leading or (sz + 2),
        spaceAfter=0, spaceBefore=0,
    )

def P(text, sz=7, bold=False, color="black", italic=False, align=TA_LEFT):
    return Paragraph(text, S("_", sz=sz, bold=bold, color=color,
                              italic=italic, align=align, leading=sz+1.5))

def cell(content, bg="white", pad=2):
    """Wrap content list into a mini-table cell with background."""
    rows = [[item] for item in content]
    t = Table(rows, colWidths=[None])
    t.setStyle(TableStyle([
        ("BACKGROUND", (0,0),(-1,-1), C[bg] if isinstance(bg,str) else bg),
        ("TOPPADDING",    (0,0),(-1,-1), pad),
        ("BOTTOMPADDING", (0,0),(-1,-1), pad),
        ("LEFTPADDING",   (0,0),(-1,-1), pad),
        ("RIGHTPADDING",  (0,0),(-1,-1), pad),
        ("VALIGN",        (0,0),(-1,-1), "TOP"),
    ]))
    return t

def hdr(text, bg_key, text_color="white", sz=8):
    return P(f"<b>{text}</b>", sz=sz, bold=True,
             color=text_color if isinstance(text_color,str) else text_color,
             align=TA_CENTER)

# ── Row builder helpers ────────────────────────────────────────────────────────
def kv(key, val, ksz=6.5, vsz=6.5, kbold=True, vbold=False, vcolor="black"):
    return P(f"<b>{key}</b>  {val}", sz=vsz, color=vcolor)

def star(text, sz=6.5):
    return P(f"<font color='#145A32'>★</font>  {text}", sz=sz)

def bang(text, sz=6.5):
    return P(f"<font color='#922B21'>!</font>  {text}", sz=sz)

def dot(text, sz=6.5):
    return P(f"•  {text}", sz=sz)

# ══════════════════════════════════════════════════════════════════════════════
# FLASHCARD DATA  –  each topic = dict of row_label → list of Paragraphs
# 7 topics across columns, rows = comparison dimensions
# ══════════════════════════════════════════════════════════════════════════════

# Row labels (left spine)
ROWS = [
    "KEY NUMBERS",
    "1st LINE Rx",
    "LANDMARK TRIALS",
    "TRAPS / DON'T",
    "ECG / ECHO",
    "DRUG DETAILS",
    "SURGERY / DEVICE",
]

TOPICS = [
    {
        "title": "STEMI",
        "color": "navy",
        "light": "skylt",
        "KEY NUMBERS": [
            star("D2B: <b>90 min</b> (direct PCI)"),
            star("D2B: <b>120 min</b> (transfer PCI)"),
            star("D2N: <b>30 min</b> fibrinolysis"),
            star("tPA dose: <b>0.9 mg/kg</b>, max <b>90 mg</b>"),
            dot("PCI window: <b>12 h</b> from onset"),
            dot("Lysis window: <b>12 h</b> from onset"),
        ],
        "1st LINE Rx": [
            star("Aspirin 325 mg + <b>Ticagrelor 180 mg</b>"),
            star("Primary PCI if available"),
            star("UFH or Bivalirudin with PCI"),
            bang("Fondaparinux: AVOID with PCI"),
            dot("Fibrinolysis if PCI delay >120 min"),
            dot("Oxygen only if SpO₂ <90%"),
        ],
        "LANDMARK TRIALS": [
            star("<b>PLATO:</b> Ticagrelor > Clopidogrel (20% RRR)"),
            star("<b>STREAM:</b> Pharmaco-invasive = PCI in rural STEMI"),
            dot("DANAMI-3 DEFER: deferred stenting no benefit"),
        ],
        "TRAPS / DON'T": [
            bang("RV infarct: <b>NO nitrates, NO diuretics</b>"),
            bang("RV infarct: fluid load (500 mL NS bolus)"),
            bang("New LBBB = STEMI equivalent → treat same"),
            bang("Posterior MI: ST dep V1-V3 = STEMI equivalent"),
        ],
        "ECG / ECHO": [
            star("Territory map: V1-V4 = LAD, II/III/aVF = RCA, I/aVL = LCx"),
            star("RV infarct: ST elevation <b>V4R</b>"),
            dot("Mechanical complication echo: VSD, MR, tamponade"),
        ],
        "DRUG DETAILS": [
            star("Ticagrelor: 180 mg load → 90 mg BD"),
            star("Prasugrel: better than Clopi for PCI STEMI"),
            bang("Prasugrel: <b>avoid</b> if prior stroke/TIA, age >75, wt <60 kg"),
            dot("Clopidogrel: 600 mg load if Ticagrelor unavailable"),
        ],
        "SURGERY / DEVICE": [
            star("IABP: cardiogenic shock (not proven mortality benefit)"),
            star("Impella/Axella: haemodynamic support in shock"),
            dot("CABG: if anatomy unfavourable for PCI"),
            dot("DAPT duration: 12 months standard post-STEMI"),
        ],
    },
    {
        "title": "NSTEMI / UA",
        "color": "blue",
        "light": "skylt",
        "KEY NUMBERS": [
            star("TIMI ≥3 = high risk → early invasive"),
            star("GRACE >140 = early invasive <24h"),
            star("Immediate (<2h): electrical instability, refractory ischaemia"),
            dot("Early invasive: <24h (high risk)"),
            dot("Deferred: <72h (low-intermediate risk)"),
        ],
        "1st LINE Rx": [
            star("Aspirin + <b>Ticagrelor</b> (preferred over Clopi)"),
            star("<b>Fondaparinux</b> preferred anticoagulation"),
            bang("Fondaparinux + PCI: add UFH bolus (anti-Xa coverage)"),
            dot("Conservative: Fondaparinux + ASA + Ticagrelor"),
        ],
        "LANDMARK TRIALS": [
            star("<b>PLATO:</b> Ticagrelor 20% RRR vs Clopidogrel in ACS"),
            star("<b>OASIS-5:</b> Fondaparinux = enoxaparin, less bleeding"),
            dot("TIMACS: early (<24h) vs delayed (>36h) – early better in high risk"),
        ],
        "TRAPS / DON'T": [
            bang("Morphine ↓ P2Y12 absorption – use cautiously"),
            bang("GP IIb/IIIa: NOT routine; <b>bailout PCI only</b>"),
            bang("Prasugrel: do NOT load before angiography (anatomy unknown)"),
        ],
        "ECG / ECHO": [
            star("Dynamic ST changes = high risk (>0.5mm)"),
            star("T-wave inversion: Wellens' pattern = proximal LAD lesion"),
            dot("Echo: wall motion abnormality, EF assessment"),
        ],
        "DRUG DETAILS": [
            star("Ticagrelor: 180 mg load → 90 mg BD"),
            star("Enoxaparin: 1 mg/kg SC BD; reduce to 1 mg/kg OD if CrCl <30"),
            dot("UFH: 60 U/kg bolus, 12 U/kg/h infusion, target aPTT 50-70"),
        ],
        "SURGERY / DEVICE": [
            star("PCI: drug-eluting stent preferred"),
            dot("CABG: multivessel disease, LM disease, diabetics"),
            dot("DAPT post-PCI: 12 months (1 month minimum if bleeding risk)"),
        ],
    },
    {
        "title": "HEART FAILURE",
        "color": "teal",
        "light": "teallt",
        "KEY NUMBERS": [
            star("HFrEF: EF <40%  |  HFmrEF: 40-49%  |  HFpEF: ≥50%"),
            star("ICD: EF <35%, NYHA II-III, ≥3 months GDMT"),
            star("CRT: EF <35% + LBBB + QRS ≥150 ms"),
            dot("ARNI: 36h washout from ACEi before switching"),
            dot("MRA: only if eGFR >30 and K <5.0 mEq/L"),
        ],
        "1st LINE Rx": [
            star("<b>5-drug GDMT:</b> ARNI + BB + MRA + SGLT2i (+ diuretic prn)"),
            star("BB: <b>carvedilol / bisoprolol / metoprolol succinate ONLY</b>"),
            star("SGLT2i: dapagliflozin 10mg or empagliflozin 10mg"),
            bang("HFpEF: ACEi/BB NOT proven mortality benefit"),
            dot("HFpEF: SGLT2i (EMPEROR-Preserved) only proven drug"),
        ],
        "LANDMARK TRIALS": [
            star("<b>PARADIGM-HF:</b> Sacubitril/Valsartan 20% RRR vs Enalapril"),
            star("<b>DAPA-HF:</b> Dapagliflozin 26% RRR (incl. non-diabetics)"),
            star("<b>EMPEROR-Red:</b> Empagliflozin 25% RRR (incl. non-DM)"),
            star("<b>EMPEROR-Pres:</b> Empagliflozin 21% RRR in HFpEF"),
        ],
        "TRAPS / DON'T": [
            bang("BB: <b>atenolol NOT proven</b> in HF (use only 3 above)"),
            bang("Start BB only when STABLE (not in acute decompensation)"),
            bang("MRA + ACEi: monitor K closely; stop if K >5.5 or eGFR <30"),
            bang("Thiazides alone: NOT for HF oedema – use loop diuretics"),
        ],
        "ECG / ECHO": [
            star("Echo: EF, wall motion, diastolic parameters (E/A, E/e')"),
            dot("HFpEF: preserved EF + diastolic dysfunction Grade II+"),
            dot("BNP >100, NT-proBNP >300 (acute); higher cutoffs for HFpEF"),
            bang("BNP falsely LOW in obesity; falsely HIGH in renal failure"),
        ],
        "DRUG DETAILS": [
            star("Sacubitril/Valsartan: start 49/51mg BD → titrate to 97/103mg"),
            dot("Spironolactone 25mg OD (RALES); Eplerenone 25mg (EMPHASIS)"),
            dot("Ivabradine: if sinus rhythm + HR ≥70 + EF <35% on max BB"),
        ],
        "SURGERY / DEVICE": [
            star("ICD: primary prevention EF <35%, NYHA II-III, ≥3mo GDMT"),
            star("CRT-D: EF <35%, LBBB, QRS ≥150ms, NYHA III-IV"),
            dot("LVAD: bridge-to-transplant or destination therapy"),
            dot("Transplant: NYHA IV despite GDMT; age <70"),
        ],
    },
    {
        "title": "VALVULAR HD",
        "color": "brown",
        "light": "brownlt",
        "KEY NUMBERS": [
            star("<b>AS severe:</b> AVA <1 cm², gradient >40 mmHg, Vmax >4 m/s"),
            star("<b>MR surgery:</b> EF <60% OR LVESD >40 mm"),
            star("<b>MS:</b> MVA <1.5 cm²; PBMC if Wilkins ≤8"),
            star("<b>AR surgery:</b> EF <50% OR LVESD >50 mm"),
            dot("Prophylaxis: penicillin 10yr or age 40; severe MR: lifelong"),
        ],
        "1st LINE Rx": [
            star("Symptomatic severe AS → <b>AVR (surgery or TAVI)</b>"),
            star("MS: PBMC if Wilkins ≤8, no LA thrombus, no mod+ MR"),
            star("RHD: Benzathine Penicillin G 1.2 MU IM every 4 weeks"),
            dot("Asymptomatic severe AS with EF <50%: intervention"),
            dot("AR: vasodilators (ACEi/nifedipine) if symptomatic, not surgical candidate"),
        ],
        "LANDMARK TRIALS": [
            star("<b>PARTNER 3:</b> TAVI non-inferior to SAVR at low surgical risk"),
            star("<b>PARTNER 2:</b> TAVI non-inferior at intermediate risk"),
            dot("EVOLUT Low Risk: similar results to PARTNER 3"),
        ],
        "TRAPS / DON'T": [
            bang("AS: <b>NO vasodilators</b> (nitrates, ACEi) – hypotension risk"),
            bang("PBMC: <b>NOT</b> if LA thrombus present"),
            bang("Paradoxical low-flow low-gradient AS: need dobutamine stress echo"),
            bang("Valvular AF (rheumatic MS): warfarin only – NO DOACs"),
        ],
        "ECG / ECHO": [
            star("AS: slow-rising carotid pulse (pulsus parvus et tardus)"),
            star("MS: opening snap, loud S1, rumbling mid-diastolic murmur"),
            star("AR: wide pulse pressure, Corrigan's pulse, de Musset's sign"),
            dot("MR: holosystolic murmur, S3 gallop in severe acute MR"),
        ],
        "DRUG DETAILS": [
            star("Warfarin: mechanical valve (target INR 2.5-3.5 MVR; 2-3 AVR)"),
            dot("Bioprosthetic valve: aspirin 75mg + anticoag 3 months"),
            dot("IE prophylaxis: Amoxicillin 2g PO 1h before dental procedure"),
        ],
        "SURGERY / DEVICE": [
            star("TAVI: PARTNER 3 shows non-inferior to SAVR at low risk"),
            star("SAVR: preferred if concurrent CABG needed; bicuspid valve"),
            star("MR repair > replacement if anatomy suitable (lower mortality)"),
            dot("Wilkins components: mobility, thickening, calcification, subvalvular"),
        ],
    },
    {
        "title": "ARRHYTHMIAS",
        "color": "purple",
        "light": "purplt",
        "KEY NUMBERS": [
            star("CHA₂DS₂-VASc ≥2 (men) / ≥3 (women) → OAC"),
            star("Lenient rate control target: <b><110 bpm</b> (RACE II)"),
            star("QTc prolonged: >450ms (men), >470ms (women), danger >500ms"),
            dot("Torsades: IV MgSO₄ 2g over 15 min"),
            dot("Brugada: fever can unmask; check Na channel blockers"),
        ],
        "1st LINE Rx": [
            star("AF rate control: <b>BB > diltiazem/verapamil > digoxin</b>"),
            star("AF anticoag: <b>DOAC preferred</b> (non-valvular AF)"),
            star("Valvular AF: <b>warfarin ONLY</b> – no DOACs"),
            dot("SVT: vagal → Adenosine 6mg IV (if no response: 12mg)"),
            dot("VF/pulseless VT: <b>CPR + defibrillation immediately</b>"),
        ],
        "LANDMARK TRIALS": [
            star("<b>EAST-AFNET 4:</b> early rhythm control 21% RRR CV outcomes"),
            star("<b>RACE II:</b> lenient rate <110 non-inferior to strict <80"),
            star("<b>AFFIRM:</b> rate ≈ rhythm in older AF patients"),
            dot("RE-LY/ROCKET/ARISTOTLE: DOACs non-inferior to warfarin in AF"),
        ],
        "TRAPS / DON'T": [
            bang("Valvular AF (rheumatic MS / mechanical valve): <b>NO DOACs</b>"),
            bang("WPW + AF: <b>NO adenosine, NO digoxin, NO verapamil</b>"),
            bang("Flecainide: <b>NOT</b> if structural heart disease"),
            bang("Amiodarone: check TFTs, LFTs, PFTs every 6 months"),
        ],
        "ECG / ECHO": [
            star("AF: irregularly irregular, no P waves, fibrillatory baseline"),
            star("Brugada type 1: coved ST ≥2mm V1-V3 + RBBB morphology"),
            star("LQT: corrected QTc >450 (men) or >470 (women)"),
            dot("AVNRT: narrow QRS, pseudo-R' in V1, P in QRS or just after"),
        ],
        "DRUG DETAILS": [
            star("Amiodarone: 200mg TDS 4wks → 200mg BD 4wks → 200mg OD"),
            star("Ticagrelor: reversal with idarucizumab – NO, that's dabigatran"),
            dot("Dabigatran reversal: <b>Idarucizumab</b>"),
            dot("Factor Xa inhibitor reversal: <b>Andexanet alfa</b>"),
        ],
        "SURGERY / DEVICE": [
            star("AF ablation: pulmonary vein isolation; ~70% cure rate at 1yr"),
            star("SVT ablation: 95%+ cure; preferred over lifelong drugs"),
            dot("ICD: sustained VT or aborted SCD"),
            dot("Pacemaker: complete heart block, sick sinus syndrome symptomatic"),
        ],
    },
    {
        "title": "CARDIOMYOPATHY",
        "color": "red",
        "light": "redlt",
        "KEY NUMBERS": [
            star("HCM ICD: septum ≥30mm, NSVT, fam hx SCD, syncope, ↓BP response to exercise"),
            star("HCM: LVOT obstruction if gradient ≥30 mmHg (haemodynamically significant ≥50)"),
            star("DCM: EF <40%, dilated LV; EF <35% = ICD criterion"),
            dot("ARVC: diagnosis by Task Force criteria (major + minor)"),
        ],
        "1st LINE Rx": [
            star("HCM obstructive: BB (metoprolol/atenolol) or verapamil"),
            star("HCM refractory: <b>Mavacamten</b> (EXPLORER-HCM)"),
            star("DCM: GDMT (same as HFrEF – 5-drug regimen)"),
            dot("ARVC: BB; ICD if high risk; avoid strenuous exercise"),
        ],
        "LANDMARK TRIALS": [
            star("<b>EXPLORER-HCM:</b> Mavacamten 27% functional class improvement"),
            dot("MAVA-LTE: sustained benefit of Mavacamten at 5yr"),
        ],
        "TRAPS / DON'T": [
            bang("HCM + AF: <b>anticoagulate regardless of CHA₂DS₂-VASc</b>"),
            bang("HCM: <b>NO digoxin, NO nitrates, NO diuretics</b> (worsens obstruction)"),
            bang("HCM: DHP calcium channel blockers CONTRAINDICATED"),
            bang("ARVC: stop competitive sports – risk of SCD with exercise"),
        ],
        "ECG / ECHO": [
            star("HCM: LVH, septal Q waves leads I/aVL/V5-V6, giant T-wave inversion"),
            star("ARVC: epsilon wave (terminal notch) after QRS in V1-V3"),
            star("DCM: LBBB pattern common; dilated LV, global hypokinesis"),
            dot("HCM echo: SAM of anterior MV leaflet, LVOT gradient on Doppler"),
        ],
        "DRUG DETAILS": [
            star("Mavacamten: allosteric cardiac myosin inhibitor; reversible"),
            star("Disopyramide: negative inotrope → reduces LVOT gradient (add to BB)"),
            dot("Avoid high-dose diuretics in HCM – reduces preload → ↑ obstruction"),
        ],
        "SURGERY / DEVICE": [
            star("Septal myectomy (Morrow procedure): gold standard for refractory HCM"),
            star("Alcohol septal ablation: alternative to surgery (older/comorbid patients)"),
            dot("ICD: primary prevention if ≥1 AHA risk factor for SCD"),
            dot("Heart transplant: end-stage DCM or restrictive CM"),
        ],
    },
    {
        "title": "PERICARDIAL Dz",
        "color": "green",
        "light": "greenlt",
        "KEY NUMBERS": [
            star("Pericarditis diagnosis: <b>2 of 4</b> criteria"),
            star("Tamponade pulsus paradoxus: >10 mmHg drop in SBP on inspiration"),
            star("Colchicine halves recurrence (COPE trial: 0.5mg BD x3 months)"),
            dot("Constrictive: equalisation of diastolic pressures (±5 mmHg)"),
            dot("Tamponade drainage: drain if >20mm echo-free space or haemodynamic compromise"),
        ],
        "1st LINE Rx": [
            star("Acute pericarditis: <b>NSAIDs + Colchicine</b> (both, not either)"),
            star("Pericarditis 4 criteria: <i>pleuritic chest pain, friction rub, ST elevation, pericardial effusion</i>"),
            star("Tamponade: <b>pericardiocentesis</b> (subxiphoid approach)"),
            dot("Constrictive: pericardiectomy (only definitive treatment)"),
            dot("Uraemic pericarditis: <b>dialysis</b> even without haemodynamic compromise"),
        ],
        "LANDMARK TRIALS": [
            star("<b>COPE trial:</b> Colchicine + NSAIDs vs NSAIDs alone → halved recurrence"),
            star("<b>ICAP trial:</b> Colchicine in first episode → 38% ↓ recurrence at 18 months"),
            dot("CORP/CORP-2: Colchicine prevents recurrent pericarditis"),
        ],
        "TRAPS / DON'T": [
            bang("Tamponade: <b>Kussmaul's sign ABSENT</b> (present in constrictive only)"),
            bang("Constrictive: <b>Kussmaul's sign PRESENT</b> (JVP rises on inspiration)"),
            bang("Pericarditis: <b>avoid steroids</b> (increases recurrence – COPE data)"),
            bang("Tamponade: <b>AVOID diuretics/vasodilators</b> – will precipitate collapse"),
        ],
        "ECG / ECHO": [
            star("Pericarditis ECG: diffuse saddle-shaped ST elevation + PR depression"),
            star("Tamponade ECG: <b>electrical alternans</b> + sinus tachycardia"),
            star("Echo: RA collapse in early diastole, RV collapse in late diastole"),
            dot("Constrictive: septal bounce, inspiratory shift, preserved tissue Doppler"),
        ],
        "DRUG DETAILS": [
            star("Colchicine: 0.5mg BD (>70kg) or 0.5mg OD (<70kg) x 3 months"),
            dot("NSAIDs: Aspirin 750mg TDS (preferred in post-MI pericarditis) or ibuprofen 600mg TDS"),
            bang("Anticoagulants: use cautiously in pericarditis – risk of haemorrhagic tamponade"),
        ],
        "SURGERY / DEVICE": [
            star("Pericardiocentesis: <b>echo-guided, subxiphoid approach</b>"),
            star("Pericardiectomy: for constrictive pericarditis (mortality 5-10%)"),
            dot("Surgical drainage: recurrent tamponade, purulent pericarditis, malignancy"),
        ],
    },
]

# ══════════════════════════════════════════════════════════════════════════════
# BUILD THE SINGLE-PAGE TABLE
# ══════════════════════════════════════════════════════════════════════════════

def build_page():
    N = len(TOPICS)   # 7
    ROW_LBL_W = 18 * mm
    available_w = PAGE_W - 2 * MARGIN - ROW_LBL_W
    col_w = available_w / N   # equal width per topic

    # ── Build the grid data structure ─────────────────────────────────────────
    # grid[row][col] = reportlab flowable or list
    # Row 0 = topic headers
    # Rows 1..7 = content rows

    # Header row
    header_row = [P("TOPIC", sz=7, bold=True, color="white", align=TA_CENTER)]
    for td in TOPICS:
        header_row.append(P(td["title"], sz=8, bold=True, color="white", align=TA_CENTER))

    # Content rows
    all_rows = [header_row]
    for ri, row_label in enumerate(ROWS):
        row = [P(row_label, sz=6.5, bold=True, color="white", align=TA_CENTER)]
        for td in TOPICS:
            items = td.get(row_label, [dot("—")])
            # wrap in a mini inner table
            inner_rows = [[item] for item in items]
            inner_t = Table(inner_rows, colWidths=[col_w - 3])
            inner_t.setStyle(TableStyle([
                ("TOPPADDING",    (0,0),(-1,-1), 1.2),
                ("BOTTOMPADDING", (0,0),(-1,-1), 1.2),
                ("LEFTPADDING",   (0,0),(-1,-1), 2),
                ("RIGHTPADDING",  (0,0),(-1,-1), 1),
                ("VALIGN",        (0,0),(-1,-1), "TOP"),
            ]))
            row.append(inner_t)
        all_rows.append(row)

    # Column widths
    col_widths = [ROW_LBL_W] + [col_w] * N

    # Row heights – header taller, content rows equal
    usable_h = PAGE_H - 2 * MARGIN - 12 * mm   # 12mm for title bar
    hdr_h = 9 * mm
    content_h = (usable_h - hdr_h) / len(ROWS)
    row_heights = [hdr_h] + [content_h] * len(ROWS)

    # Build main table
    main_t = Table(all_rows, colWidths=col_widths, rowHeights=row_heights)

    # ── Styles ────────────────────────────────────────────────────────────────
    style_cmds = [
        # Global
        ("VALIGN",       (0,0), (-1,-1), "TOP"),
        ("TOPPADDING",   (0,0), (-1,-1), 2),
        ("BOTTOMPADDING",(0,0), (-1,-1), 2),
        ("LEFTPADDING",  (0,0), (-1,-1), 2),
        ("RIGHTPADDING", (0,0), (-1,-1), 2),
        # Grid lines
        ("GRID",         (0,0), (-1,-1), 0.4, colors.HexColor("#AEB6BF")),
        ("BOX",          (0,0), (-1,-1), 1.5, colors.HexColor("#0D2137")),
        # Row label spine (col 0) – dark navy
        ("BACKGROUND",   (0,0), (0,-1), C["navy"]),
        ("ALIGN",        (0,0), (0,-1), "CENTER"),
        ("VALIGN",       (0,1), (0,-1), "MIDDLE"),
        # Header row (row 0)
        ("BACKGROUND",   (0,0), (-1,0), C["navy"]),
        ("ALIGN",        (0,0), (-1,0), "CENTER"),
        ("VALIGN",       (0,0), (-1,0), "MIDDLE"),
        # Thick separators between topics
        ("LINEAFTER",    (0,0), (-1,-1), 1.0, colors.HexColor("#5D6D7E")),
    ]

    # Per-topic column backgrounds (alternating light colors)
    row_bg_map = {
        "KEY NUMBERS":        [C["skylt"],   C["skylt"],   C["teallt"],  C["brownlt"], C["purplt"],  C["redlt"],   C["greenlt"]],
        "1st LINE Rx":        [C["sky"],     C["sky"],     colors.HexColor("#C8EAF5"), C["brownlt"], C["purplt"],  C["redlt"],   C["greenlt"]],
        "LANDMARK TRIALS":    [colors.HexColor("#E8F4FB"), colors.HexColor("#E8F4FB"), colors.HexColor("#D1ECF0"), colors.HexColor("#FDEBD0"), colors.HexColor("#E8DAEF"), colors.HexColor("#FADBD8"), colors.HexColor("#D5F5E3")],
        "TRAPS / DON'T":      [colors.HexColor("#FFF0F0")] * 7,
        "ECG / ECHO":         [colors.HexColor("#F0F3FA")] * 7,
        "DRUG DETAILS":       [colors.HexColor("#FFFDE7")] * 7,
        "SURGERY / DEVICE":   [colors.HexColor("#F0FFF4")] * 7,
    }

    for ri, row_label in enumerate(ROWS):
        actual_row = ri + 1  # row 0 = header
        bgs = row_bg_map.get(row_label, [C["gray"]] * 7)
        for ci, bg in enumerate(bgs):
            style_cmds.append(("BACKGROUND", (ci+1, actual_row), (ci+1, actual_row), bg))

    # Topic header colors
    topic_header_colors = [C["navy"], C["blue"], C["teal"], C["brown"],
                            C["purple"], C["red"], C["green"]]
    for ci, tc in enumerate(topic_header_colors):
        style_cmds.append(("BACKGROUND", (ci+1, 0), (ci+1, 0), tc))

    main_t.setStyle(TableStyle(style_cmds))
    return main_t

# ══════════════════════════════════════════════════════════════════════════════
# DRAW
# ══════════════════════════════════════════════════════════════════════════════

TMP  = "/tmp/NEET_SS_Cardiology_Flashcards.pdf"
DEST = "/home/daytona/workspace/neet-ss-guide/NEET_SS_Cardiology_Flashcards.pdf"

c = pdfcanvas.Canvas(TMP, pagesize=landscape(A3))
w, h = landscape(A3)

# Background
c.setFillColor(C["navy"])
c.rect(0, 0, w, h, fill=1, stroke=0)

# Title bar
c.setFillColor(C["navy"])
c.rect(0, h - 12*mm, w, 12*mm, fill=1, stroke=0)
c.setFillColor(colors.HexColor("#F39C12"))
c.rect(0, h - 13*mm, w, 1.5, fill=1, stroke=0)

c.setFont("Helvetica-Bold", 11)
c.setFillColor(colors.white)
c.drawString(MARGIN, h - 8.5*mm,
    "NEET SS  ·  General Medicine  ·  CARDIOLOGY — 7-Topic Comparison Flashcard  ·  Last-Day Rapid Revision")
c.setFont("Helvetica", 8)
c.setFillColor(colors.HexColor("#AEDAF0"))
c.drawRightString(w - MARGIN, h - 8.5*mm,
    "★ = must know  |  ! = trap  |  • = good to know  |  Week 1 · Day 1–6 content")

# Footer
c.setFillColor(C["navy"])
c.rect(0, 0, w, 5*mm, fill=1, stroke=0)
c.setFont("Helvetica", 6.5)
c.setFillColor(colors.HexColor("#AEDAF0"))
c.drawCentredString(w/2, 1.8*mm,
    "Harrison's 22E · Braunwald's Heart Disease · Marrow NEET SS Medicine  |  June 27 – July 3, 2026")

# Draw the table using platypus in a canvas frame
from reportlab.platypus import Frame

table_h = h - 2*MARGIN - 12*mm - 5*mm   # below title, above footer
table_w = w - 2*MARGIN
frame = Frame(MARGIN, 5*mm + MARGIN/2, table_w, table_h,
              leftPadding=0, rightPadding=0, topPadding=0, bottomPadding=0)

main_table = build_page()
frame.addFromList([main_table], c)

c.showPage()
c.save()

with open(TMP, "rb") as src, open(DEST, "wb") as dst:
    dst.write(src.read())
print(f"Saved: {DEST}")

Successfully replaced 1 instance(s) of the string in '/home/daytona/workspace/neet-ss-guide/build_flashcard.py'

Successfully replaced 1 instance(s) of the string in '/home/daytona/workspace/neet-ss-guide/build_flashcard.py'