cd /home/daytona/workspace/attachments/2e362824-e99a-4bbc-9a79-b28a5f14db21/ && …

cd /home/daytona/workspace/attachments/2e362824-e99a-4bbc-9a79-b28a5f14db21/ && …

~/make_compact_pdf.py

#!/usr/bin/env python3
"""
Generate a compact quick-revision PDF from the pathology content.
Uses ReportLab with small fonts, tight spacing, 2-column layout.
"""

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

PAGE_W, PAGE_H = A4
MARGIN = 10 * mm

# ── Styles ──────────────────────────────────────────────────────────────────
def make_styles():
    h1 = ParagraphStyle('H1', fontName='Helvetica-Bold', fontSize=9,
                        textColor=colors.white, backColor=colors.HexColor('#1a3a5c'),
                        spaceBefore=3, spaceAfter=1, leading=11,
                        leftIndent=2, rightIndent=2)
    h2 = ParagraphStyle('H2', fontName='Helvetica-Bold', fontSize=8,
                        textColor=colors.HexColor('#1a3a5c'),
                        spaceBefore=2, spaceAfter=1, leading=10,
                        borderPad=1)
    h3 = ParagraphStyle('H3', fontName='Helvetica-Bold', fontSize=7.5,
                        textColor=colors.HexColor('#c0392b'),
                        spaceBefore=1, spaceAfter=0, leading=9)
    body = ParagraphStyle('Body', fontName='Helvetica', fontSize=7,
                          spaceBefore=0, spaceAfter=0, leading=9,
                          leftIndent=4)
    bullet = ParagraphStyle('Bullet', fontName='Helvetica', fontSize=7,
                             spaceBefore=0, spaceAfter=0, leading=9,
                             leftIndent=8, bulletIndent=4)
    label = ParagraphStyle('Label', fontName='Helvetica-Bold', fontSize=7,
                            spaceBefore=0, spaceAfter=0, leading=9,
                            textColor=colors.HexColor('#2c3e50'))
    note  = ParagraphStyle('Note', fontName='Helvetica-Oblique', fontSize=6.5,
                            textColor=colors.HexColor('#555555'),
                            spaceBefore=0, spaceAfter=0, leading=8)
    return h1, h2, h3, body, bullet, label, note

H1, H2, H3, BODY, BULLET, LABEL, NOTE = make_styles()

def sec(title):
    """Section header (system heading)."""
    return [Paragraph(f" {title}", H1), Spacer(1, 1)]

def sub(title):
    return [Paragraph(title, H2)]

def q(title):
    return Paragraph(f"► {title}", H3)

def p(text):
    return Paragraph(text, BODY)

def b(text):
    return Paragraph(f"• {text}", BULLET)

def lbl(k, v):
    return Paragraph(f"<b>{k}:</b> {v}", BODY)

def hr():
    return HRFlowable(width="100%", thickness=0.3, color=colors.HexColor('#aaaaaa'),
                      spaceAfter=1, spaceBefore=1)

def tbl(headers, rows, col_widths=None):
    """Build a compact table."""
    W = PAGE_W - 2 * MARGIN
    if col_widths is None:
        n = len(headers)
        col_widths = [W / n] * n
    data = [headers] + rows
    t = Table(data, colWidths=col_widths, repeatRows=1)
    style = TableStyle([
        ('BACKGROUND',  (0, 0), (-1, 0), colors.HexColor('#2c3e50')),
        ('TEXTCOLOR',   (0, 0), (-1, 0), colors.white),
        ('FONTNAME',    (0, 0), (-1, 0), 'Helvetica-Bold'),
        ('FONTSIZE',    (0, 0), (-1, -1), 6.5),
        ('LEADING',     (0, 0), (-1, -1), 8),
        ('ROWBACKGROUNDS', (0, 1), (-1, -1), [colors.HexColor('#f4f6f9'), colors.white]),
        ('GRID',        (0, 0), (-1, -1), 0.3, colors.HexColor('#cccccc')),
        ('TOPPADDING',  (0, 0), (-1, -1), 1.5),
        ('BOTTOMPADDING', (0, 0), (-1, -1), 1.5),
        ('LEFTPADDING', (0, 0), (-1, -1), 2),
        ('RIGHTPADDING', (0, 0), (-1, -1), 2),
        ('VALIGN',      (0, 0), (-1, -1), 'TOP'),
    ])
    t.setStyle(style)
    return t

def sp(h=2):
    return Spacer(1, h)

# ── Content ─────────────────────────────────────────────────────────────────
def build_story():
    story = []
    W = PAGE_W - 2 * MARGIN

    # ── TITLE ──
    story.append(Paragraph(
        "<b>PATHOLOGY QUICK REVISION</b>  |  Robbins & Cotran",
        ParagraphStyle('Title', fontName='Helvetica-Bold', fontSize=11,
                       alignment=TA_CENTER, textColor=colors.HexColor('#1a3a5c'),
                       spaceBefore=0, spaceAfter=2)
    ))
    story.append(HRFlowable(width="100%", thickness=1, color=colors.HexColor('#1a3a5c'),
                            spaceAfter=3))

    # ══════════════════════════════════════════════════════════════════════
    # 1. MALE REPRODUCTIVE SYSTEM
    # ══════════════════════════════════════════════════════════════════════
    story += sec("1. MALE REPRODUCTIVE SYSTEM")

    story += [q("Teratoma of Testis"), sp(1)]
    story += [
        lbl("Def", "GCT with tissues from all 3 germ layers; benign in children <2 yr, malignant in adults"),
        lbl("Gross", "Large lobulated mass; multicystic spaces (mucoid/keratin/hair); hemorrhage + necrosis"),
        lbl("Micro", "Mature: skin, cartilage, bone, neural tissue haphazardly arranged"),
        lbl("", "Immature: primitive neuroectodermal tissue, fetal cartilage"),
        sp(2)
    ]

    story += [q("Seminoma"), sp(1)]
    story += [
        lbl("Gross", "Most common GCT (40-50%); homogeneous gray-white 'fish-flesh'; NO hemorrhage/necrosis; tunica intact"),
        lbl("Micro", "Large round cells, clear glycogen-rich cytoplasm, 'fried egg'; fibrous septa; lymphocytic infiltrate; granulomas 20%"),
        lbl("Markers", "PLAP+, CD117+; β-hCG occasionally (syncytiotrophoblasts)"),
        lbl("Spread", "Lymphatic → para-aortic nodes (L1-L2) FIRST; then hematogenous (lung, liver, bone)"),
        lbl("Prognosis", "Radiosensitive; excellent 5-yr survival >95%"),
        sp(2)
    ]

    story.append(q("Classification of Testicular Tumors"))
    story.append(sp(1))
    story.append(tbl(
        ['Type', 'Subtypes / Notes'],
        [
            ['GCT 95%', 'Seminoma (classical, spermatocytic)'],
            ['NSGCT', 'Embryonal Ca, Yolk sac tumor (AFP↑), Choriocarcinoma (β-hCG↑), Teratoma, Mixed GCT'],
            ['Sex cord-stromal 4-5%', 'Leydig cell (most common), Sertoli cell'],
            ['Other', 'Lymphoma (most common in men >60 yr), Metastases'],
        ],
        [W*0.28, W*0.72]
    ))
    story.append(sp(2))

    story += [q("Yolk Sac Tumor (Endodermal Sinus Tumor)"), sp(1)]
    story += [
        lbl("Who", "Most common GCT in infants/children; AFP markedly elevated"),
        lbl("Micro", "Schiller-Duval bodies (perivascular pseudorosettes); PAS+ hyaline globules (AFP-containing)"),
        sp(2)
    ]

    story += [q("Extragonadal Teratoma Sites"), sp(1)]
    story += [b("Anterior mediastinum (most common), Retroperitoneum, Sacrococcygeal (neonates), Pineal, Base of skull"), sp(2)]

    story.append(hr())

    # ══════════════════════════════════════════════════════════════════════
    # 2. FEMALE GENITAL TRACT
    # ══════════════════════════════════════════════════════════════════════
    story += sec("2. FEMALE GENITAL TRACT")

    story += [q("Fibroid Uterus (Leiomyoma)"), sp(1)]
    story += [
        lbl("Gross", "Multiple firm rubbery whorled nodules; pseudocapsule; locations: intramural > subserosal > submucosal"),
        lbl("Micro", "Interlacing fascicles of smooth muscle, cigar-shaped nuclei, no mitoses; hyalinization"),
        lbl("Degen.", "Hyaline (most common) > Cystic > Calcific > Red/carneous (pregnancy) > Myxoid"),
    ]
    story.append(tbl(
        ['Complication', 'Details'],
        [
            ['Menorrhagia', 'Most common symptom → anemia'],
            ['Pressure symptoms', 'Urinary frequency, constipation'],
            ['Pregnancy', 'Infertility, preterm, obstructed labor, red degeneration'],
            ['Malignant change', 'Leiomyosarcoma <1% (rare)'],
        ],
        [W*0.3, W*0.7]
    ))
    story.append(sp(2))

    story += [q("Dysgerminoma (Ovarian GCT)"), sp(1)]
    story += [
        lbl("Def", "Counterpart of testicular seminoma; most common malignant GCT of ovary; young women"),
        lbl("Gross", "Solid, lobulated, gray-white; unilateral 90%"),
        lbl("Micro", "Large clear cells with glycogen; fibrous septa + lymphocytic infiltrate (identical to seminoma)"),
        lbl("Markers", "LDH↑, Placental ALP↑"),
        lbl("Prognosis", "Radiosensitive; 5-yr survival >90%"),
        sp(2)
    ]

    story.append(hr())

    # ══════════════════════════════════════════════════════════════════════
    # 3. BREAST
    # ══════════════════════════════════════════════════════════════════════
    story += sec("3. BREAST")

    story += [q("Fibroadenoma"), sp(1)]
    story += [
        lbl("Who", "Most common benign tumor <35 yr; solitary, mobile 'breast mouse'"),
        lbl("Gross", "Firm, rubbery, encapsulated, glistening gray-white; clefts on cut section"),
        lbl("Micro", "Intracanalicular: stroma compresses ducts → slit-like; Pericanalicular: stroma around open rounded ducts"),
        sp(2)
    ]

    story += [q("Prognostic & Predictive Factors in Breast Carcinoma"), sp(1)]
    story.append(tbl(
        ['Factor', 'Type', 'Notes'],
        [
            ['LN status', 'Prognostic', 'Single most important prognostic factor'],
            ['Tumor size', 'Prognostic', ''],
            ['Grade (SBR)', 'Prognostic', 'Tubule + nuclear pleomorphism + mitoses'],
            ['LVI', 'Prognostic', 'Lymphovascular invasion'],
            ['ER/PR status', 'Predictive', 'Response to tamoxifen/aromatase inhibitors'],
            ['HER2/neu', 'Predictive', 'Response to trastuzumab (Herceptin)'],
            ['Ki-67', 'Predictive', 'Proliferation index; high = aggressive'],
        ],
        [W*0.3, W*0.2, W*0.5]
    ))
    story.append(sp(1))
    story.append(tbl(
        ['Subtype', 'ER', 'PR', 'HER2', 'Prognosis'],
        [
            ['Luminal A', '+', '+', '-', 'Best'],
            ['Luminal B', '+', '+', '+/-', 'Intermediate'],
            ['HER2-enriched', '-', '-', '+', 'Poor (↑ with Rx)'],
            ['Triple Negative (TNBC)', '-', '-', '-', 'Worst'],
        ],
        [W*0.32, W*0.12, W*0.12, W*0.12, W*0.32]
    ))
    story.append(sp(2))

    story += [q("Invasive Ductal Carcinoma (NST) - LAQ"), sp(1)]
    story += [
        lbl("Frequency", "70-80% of all breast carcinomas"),
        lbl("Gross", "Firm gritty irregular stellate mass; chalky white streaks (elastosis); retracts on cut – 'scirrhous'"),
        lbl("Micro", "Cords/nests/trabeculae of malignant cells; desmoplastic stroma; variable tubule formation"),
        lbl("Grading (SBR/Nottingham)", "Score 3-9: G1 (3-5), G2 (6-7), G3 (8-9)"),
        lbl("Spread", "Axillary LN → lung → bone → liver → brain"),
    ]
    story.append(sp(2))

    story.append(hr())

    # ══════════════════════════════════════════════════════════════════════
    # 4. SKIN
    # ══════════════════════════════════════════════════════════════════════
    story += sec("4. SKIN")

    story += [q("Squamous Cell Carcinoma of Skin"), sp(1)]
    story += [
        lbl("Pathogenesis", "UVB → pyrimidine dimers → p53 mutation; chronic scars (Marjolin's ulcer); HPV 16/18; arsenics; XP"),
        lbl("Precursor", "Actinic keratosis"),
        lbl("Gross", "Ulcerated indurated nodule, everted edges; sun-exposed sites"),
        lbl("Micro", "Malignant keratinocytes invading dermis; CANCER PEARLS (keratin pearls); intercellular bridges; individual dyskeratosis"),
        sp(2)
    ]

    story += [q("Melanoma of Skin"), sp(1)]
    story.append(tbl(
        ['Type', 'Feature', 'Prognosis'],
        [
            ['Superficial spreading', 'Most common (70%); pagetoid spread', 'Good if caught early'],
            ['Lentigo maligna', 'Elderly, sun-exposed face; long radial phase', 'Best'],
            ['Nodular', 'No radial phase; vertical growth from onset', 'Worst'],
            ['Acral lentiginous', 'Palms/soles/nails; dark-skinned persons', 'Variable'],
        ],
        [W*0.3, W*0.45, W*0.25]
    ))
    story += [
        sp(1),
        lbl("Key prognostic factor", "Breslow thickness (depth in mm) – most important"),
        lbl("ABCDE", "Asymmetry, Border irregular, Color variegated, Diameter >6mm, Evolution"),
        lbl("Mutation", "BRAF V600E 60% → targeted by vemurafenib"),
        sp(2)
    ]

    story.append(hr())

    # ══════════════════════════════════════════════════════════════════════
    # 5. ENDOCRINE SYSTEM
    # ══════════════════════════════════════════════════════════════════════
    story += sec("5. ENDOCRINE SYSTEM")

    story += [q("MEN Syndromes"), sp(1)]
    story.append(tbl(
        ['Feature', 'MEN 1 (Wermer)', 'MEN 2A (Sipple)', 'MEN 2B'],
        [
            ['Gene', 'MEN1 (menin, chr 11)', 'RET', 'RET'],
            ['Parathyroid', 'Hyperplasia/adenoma 95%', 'Hyperplasia 50%', 'Absent'],
            ['Pancreas', 'Gastrinoma, insulinoma', '-', '-'],
            ['Pituitary', 'Adenoma (prolactinoma)', '-', '-'],
            ['Thyroid', '-', 'Medullary Ca 100%', 'Medullary Ca 100%'],
            ['Adrenal', '-', 'Pheo 50%', 'Pheo'],
            ['Other', '-', '-', 'Mucosal neuromas, marfanoid'],
        ],
        [W*0.24, W*0.26, W*0.26, W*0.24]
    ))
    story.append(sp(2))

    story += [q("OGTT - Indications & Interpretation"), sp(1)]
    story += [
        lbl("Indications", "GDM screening; borderline FPG (100-125); IGT workup; high-risk (obesity, FH, PCOS, prev GDM)"),
        lbl("Method", "75g glucose after 8-10 hr fast; measure FPG + 2-hr post-load"),
    ]
    story.append(tbl(
        ['Category', 'Fasting (mg/dL)', '2-hr post-load (mg/dL)'],
        [
            ['Normal', '<100', '<140'],
            ['IFG', '100-125', '-'],
            ['IGT', '-', '140-199'],
            ['Diabetes', '≥126', '≥200'],
        ],
        [W*0.4, W*0.3, W*0.3]
    ))
    story.append(sp(2))

    story += [q("Thyroid Tumors Classification"), sp(1)]
    story.append(tbl(
        ['Type', 'Cell', 'Key Feature', 'Prognosis'],
        [
            ['Papillary Ca (80-85%)', 'Follicular', "Orphan Annie nuclei, psammoma bodies, 'ground-glass'", 'Excellent'],
            ['Follicular Ca', 'Follicular', 'Vascular + capsular invasion; RAS/PAX8-PPARγ', 'Good'],
            ['Medullary Ca', 'C-cells', 'Calcitonin↑; amyloid stroma; MEN2', 'Moderate'],
            ['Anaplastic Ca', 'Dediff.', 'Rapid growth; most aggressive', 'Worst'],
        ],
        [W*0.28, W*0.15, W*0.37, W*0.2]
    ))
    story += [
        sp(1),
        lbl("Colloid Goitre", "Iodine deficiency; large colloid-filled follicles lined by flat inactive epithelium; gelatinous brown gross appearance"),
        sp(2)
    ]

    story += [q("HbA1c (Glycosylated Hemoglobin)"), sp(1)]
    story += [
        lbl("Def", "Glucose irreversibly attached to N-terminal valine of Hb-β chain; reflects mean glucose over 2-3 months"),
        lbl("Values", "Normal <5.7% | Pre-DM 5.7-6.4% | DM ≥6.5% | Target in DM <7%"),
        lbl("False LOW", "Hemolytic anemia, pregnancy, blood transfusion"),
        lbl("False HIGH", "Iron deficiency anemia, splenectomy"),
        sp(2)
    ]

    story += [q("Hashimoto's Thyroiditis"), sp(1)]
    story += [
        lbl("Gross", "Diffusely enlarged, firm, rubbery, pale, lobulated; capsule intact"),
        lbl("Micro", "Lymphocytic infiltration + germinal centers; Hurthle (oxyphilic) cell change; atrophic follicles with scant colloid; late fibrosis"),
        lbl("Path", "Anti-TPO + anti-thyroglobulin Ab; CD8+ T-cell mediated destruction"),
        lbl("Complications", "Hypothyroidism (main outcome); Primary thyroid MALT lymphoma; slight↑ risk papillary Ca"),
        sp(2)
    ]

    story += [q("Diabetes Mellitus – LAQ"), sp(1)]
    story += [
        lbl("Diagnostic criteria (any one)", "FPG ≥126 | 2-hr OGTT ≥200 | Random ≥200 + symptoms | HbA1c ≥6.5%"),
    ]
    story.append(tbl(
        ['Type', 'Mechanism', 'Key Features'],
        [
            ['Type 1', 'Autoimmune β-cell destruction', 'HLA-DR3/DR4; anti-islet Ab; absolute deficiency; ketosis-prone; young'],
            ['Type 2', 'Insulin resistance + relative deficiency', 'Obesity; multifactorial; 90-95% of DM'],
            ['MODY', 'Monogenic AD', 'Young lean; multiple types (HNF, GCK mutations)'],
            ['Secondary', 'Various', 'Pancreatitis, hemochromatosis, Cushing, acromegaly, drugs'],
        ],
        [W*0.18, W*0.32, W*0.5]
    ))
    story += [
        sp(1),
        lbl("Kimmelstiel-Wilson (DM nephropathy)",
            "Diffuse glomerulosclerosis (common) + Nodular glomerulosclerosis (pathognomonic ovoid K-W nodules); "
            "GBM thickening (earliest); efferent AND afferent arteriolar hyalinosis (DM-specific); → ESRD"),
        sp(2)
    ]

    story.append(hr())

    # ══════════════════════════════════════════════════════════════════════
    # 6. MUSCULOSKELETAL
    # ══════════════════════════════════════════════════════════════════════
    story += sec("6. MUSCULOSKELETAL SYSTEM")

    story += [q("Osteosarcoma (Osteogenic Sarcoma)"), sp(1)]
    story += [
        lbl("Site", "Distal femur metaphysis > proximal tibia > proximal humerus; age 10-20 yr (2nd peak: elderly + Paget)"),
        lbl("X-ray", "Codman's triangle (periosteal elevation) + Sunburst pattern; mixed lytic/sclerotic"),
        lbl("Gross", "Gritty gray-white mass in metaphysis; destroys cortex; soft tissue extension"),
        lbl("Micro", "MALIGNANT OSTEOID laid by pleomorphic sarcomatous cells = HALLMARK; giant cells; variable cartilage/fibrous areas"),
        lbl("Subtypes", "Osteoblastic (most common), Chondroblastic, Fibroblastic, Telangiectatic"),
        lbl("Markers", "ALP↑, LDH↑"),
        lbl("Treatment", "Surgery + neoadjuvant chemotherapy; 5-yr survival ~65-70%"),
        sp(2)
    ]

    story += [q("Rheumatoid Arthritis"), sp(1)]
    story += [
        lbl("Key lesion", "PANNUS = granulation tissue of synovium invading/destroying articular cartilage and bone"),
        lbl("Stages", "Synovial edema (neutrophils) → Synovial hyperplasia (lymphocytes, plasma cells) → Pannus formation → Fibrous/bony ankylosis"),
        lbl("Micro", "Synovial lining hyperplasia; lymphoid follicles; fibrinous exudate; neovascularization"),
        lbl("RA nodule", "Central fibrinoid necrosis + palisading macrophages + outer fibrosis (subcut, lung, heart)"),
        sp(2)
    ]

    story += [q("Osteomyelitis"), sp(1)]
    story += [
        lbl("Causative organisms", "S. aureus (most common) | Salmonella (sickle cell) | H. influenzae (<2 yr) | Pseudomonas (IVDU)"),
        lbl("Gross terms", "Sequestrum (dead bone) | Involucrum (reactive new bone sheath) | Cloaca (pus drainage opening) | Subperiosteal abscess"),
        lbl("Micro", "Acute: neutrophil infiltration, vascular congestion, necrosis | Chronic: lymphocytes, plasma cells, fibrosis"),
        lbl("Complications", "Septicemia, pathological #, secondary amyloidosis (AA), osteosarcoma in chronic OM, Brodie's abscess"),
        sp(2)
    ]

    story.append(hr())

    # ══════════════════════════════════════════════════════════════════════
    # 7. NERVOUS SYSTEM
    # ══════════════════════════════════════════════════════════════════════
    story += sec("7. NERVOUS SYSTEM")

    story += [q("CSF Differences – Meningitis"), sp(1)]
    story.append(tbl(
        ['Feature', 'Pyogenic (Bacterial)', 'Tuberculous', 'Viral'],
        [
            ['Appearance', 'Turbid/purulent', 'Clear, cobweb clot', 'Clear'],
            ['Pressure', 'Markedly raised', 'Moderately raised', 'Normal/mild'],
            ['Cells', 'Neutrophils (100s-1000s)', 'Lymphocytes (100-500)', 'Lymphocytes (100-500)'],
            ['Protein', 'Markedly raised (>100)', 'Raised (100-500)', 'Normal/mild'],
            ['Glucose', 'Very low (<40)', 'Low', 'Normal'],
            ['Chloride', 'Decreased', 'Markedly decreased', 'Normal'],
            ['Other', 'Gram stain/culture +', 'ZN stain; ADA >10 U/L', 'PCR for virus'],
        ],
        [W*0.2, W*0.27, W*0.27, W*0.26]
    ))
    story.append(sp(2))

    story += [q("Meningioma"), sp(1)]
    story += [
        lbl("Origin", "Meningothelial (arachnoid cap) cells"),
        lbl("Sites", "Parasagittal, sphenoid wing, olfactory groove, CPA"),
        lbl("Gross", "Well-circumscribed, lobulated, rubbery, gray-white; attached to dura ('dural tail'); compresses not invades brain"),
        lbl("Micro", "Syncytial whorls of meningothelial cells; PSAMMOMA BODIES (concentric calcifications) – pathognomonic"),
        lbl("IHC", "Vimentin+, EMA+; WHO Grade I (benign 80%), II (atypical), III (malignant)"),
        sp(2)
    ]

    story += [q("Acute Purulent Leptomeningitis"), sp(1)]
    story += [
        lbl("Gross", "Creamy yellow-green exudate over convexities; swollen gyri; base cisterns filled with pus; engorged vessels"),
        lbl("Micro", "Neutrophil-rich exudate in subarachnoid space; Virchow-Robin space extension"),
        lbl("W-F Syndrome", "N. meningitidis → bilateral adrenal hemorrhage + petechiae/purpura"),
    ]
    story.append(tbl(
        ['Age Group', 'Common Organisms'],
        [
            ['Neonates', 'Group B Strep, E. coli, Listeria'],
            ['Children 1-23 months', 'S. pneumoniae, N. meningitidis, H. influenzae'],
            ['Adults', 'S. pneumoniae (most common), N. meningitidis'],
            ['Elderly/Immunocompromised', 'Listeria, Gram-negatives'],
        ],
        [W*0.4, W*0.6]
    ))
    story.append(sp(2))

    story.append(hr())

    # ══════════════════════════════════════════════════════════════════════
    # 8. CELL INJURY & ADAPTATION
    # ══════════════════════════════════════════════════════════════════════
    story += sec("8. CELL INJURY, ADAPTATION & AGING")

    story += [q("Fatty Liver (Hepatic Steatosis)"), sp(1)]
    story += [
        lbl("Causes", "Alcohol, Obesity/NAFLD, DM, Kwashiorkor, Drugs (tetracycline, valproate, amiodarone), Reye syndrome, Acute fatty liver of pregnancy"),
        lbl("Pathogenesis", "↑ FFA delivery + ↑ FA synthesis + ↓ β-oxidation + ↓ VLDL export → TG accumulation"),
        lbl("Gross", "Enlarged, yellow, greasy, soft liver"),
        lbl("Micro", "Macrovesicular: large vacuole displaces nucleus (alcohol, obesity) | Microvesicular: multiple small vacuoles (Reye, AFLP, tetracycline)"),
        sp(2)
    ]

    story += [q("Pigments & Melanin Disorders"), sp(1)]
    story.append(tbl(
        ['Pigment', 'Type', 'Feature'],
        [
            ['Lipofuscin', 'Endogenous', '"Wear & tear" aging pigment; brown lysosomal granules; heart, liver'],
            ['Hemosiderin', 'Endogenous', 'Iron-containing; Prussian blue +; hemolysis, hemochromatosis'],
            ['Bilirubin', 'Endogenous', 'Heme degradation; jaundice'],
            ['Melanin', 'Endogenous', 'Tyrosine-derived; DOPA oxidase +'],
            ['Anthracosis', 'Exogenous', 'Carbon dust; lung (coal workers)'],
        ],
        [W*0.28, W*0.2, W*0.52]
    ))
    story += [
        sp(1),
        lbl("Hypo-pigmentation", "Albinism (tyrosinase def; no melanin); Vitiligo (autoimmune melanocyte destruction); PKU"),
        lbl("Hyper-pigmentation", "Addison's (↑ACTH→↑MSH→bronzing); Café-au-lait (NF1); Peutz-Jeghers (perioral + hamartous polyps)"),
        sp(2)
    ]

    story.append(hr())

    # ══════════════════════════════════════════════════════════════════════
    # 9. IMMUNOPATHOLOGY / AMYLOIDOSIS
    # ══════════════════════════════════════════════════════════════════════
    story += sec("9. IMMUNOPATHOLOGY INCLUDING AMYLOIDOSIS")

    story += [q("Classification of Amyloidosis"), sp(1)]
    story += [lbl("Key stain", "Congo red → apple-green birefringence under polarized light; beta-pleated sheet configuration"), sp(1)]
    story.append(tbl(
        ['Type', 'Protein (Fibril)', 'Associated Condition'],
        [
            ['Primary (AL)', 'Ig light chains (λ>κ)', 'Multiple myeloma, MGUS, plasma cell dyscrasia'],
            ['Secondary/Reactive (AA)', 'Serum amyloid A', 'Chronic infxn (TB, OM), RA, IBD, FMF'],
            ['Dialysis-related', 'β2-microglobulin', 'Long-term hemodialysis; carpal tunnel syndrome'],
            ['Familial (ATTR)', 'Transthyretin (mutant)', 'Familial amyloid polyneuropathy; cardiac'],
            ['Senile', 'Transthyretin (normal)', 'Elderly; cardiac'],
            ["Alzheimer's (Aβ)", 'APP-derived Aβ', "Alzheimer's, Down syndrome"],
            ['Medullary thyroid Ca', 'Procalcitonin (ACal)', 'Amyloid stroma = characteristic feature'],
        ],
        [W*0.25, W*0.3, W*0.45]
    ))
    story.append(sp(2))

    story.append(hr())

    # ══════════════════════════════════════════════════════════════════════
    # 10. INFLAMMATION AND HEALING
    # ══════════════════════════════════════════════════════════════════════
    story += sec("10. INFLAMMATION AND HEALING")

    story += [q("Acute vs Chronic Inflammation"), sp(1)]
    story.append(tbl(
        ['Feature', 'Acute', 'Chronic'],
        [
            ['Onset', 'Rapid (min-hours)', 'Slow (days-months)'],
            ['Predominant cells', 'Neutrophils', 'Lymphocytes, macrophages, plasma cells'],
            ['Vascular changes', 'Prominent (vasodilation, ↑ permeability)', 'Less prominent'],
            ['Tissue destruction', 'Mild-moderate', 'Often severe; fibrosis'],
            ['Mediators', 'Histamine, PG, complement, kinins', 'IL-1, TNF, IFN-γ, cytokines'],
            ['Exudate', 'Serous/fibrinous/suppurative', 'Absent/minimal'],
            ['Examples', 'Acute appendicitis, acute pneumonia', 'TB, RA, chronic cholecystitis'],
        ],
        [W*0.25, W*0.375, W*0.375]
    ))
    story.append(sp(2))

    story += [q("Pulmonary Tuberculosis – Morphological Features"), sp(1)]
    story += [
        lbl("Primary complex (Ghon)", "Peripheral caseating granuloma + hilar LN enlargement = Ghon complex / Ranke complex"),
        lbl("Hallmark lesion", "Caseating granuloma: central caseous necrosis + epithelioid cells + Langhans giant cells (peripheral horseshoe nuclei) + lymphocytic cuff + outer fibrosis"),
        lbl("Caseous necrosis", "Acellular, cheese-like, amorphous eosinophilic material; lost architecture"),
        lbl("Secondary/post-primary TB", "Apical fibrocavitary disease; Rasmussen aneurysm (PA erosion → hemoptysis); miliary TB (1-2mm millet-seed granulomas hematogenous spread)"),
        sp(2)
    ]

    story.append(hr())

    # ══════════════════════════════════════════════════════════════════════
    # 11. NEOPLASIA
    # ══════════════════════════════════════════════════════════════════════
    story += sec("11. NEOPLASIA")

    story += [q("Paraneoplastic Syndromes"), sp(1)]
    story.append(tbl(
        ['Syndrome', 'Tumor', 'Mechanism'],
        [
            ['Hypercalcemia (most common)', 'SCC lung, RCC, breast', 'PTHrP'],
            ['SIADH', 'Small cell lung Ca', 'Ectopic ADH'],
            ['Cushing syndrome', 'Small cell lung Ca', 'Ectopic ACTH'],
            ['Polycythemia', 'RCC, HCC', 'Ectopic EPO'],
            ['Eaton-Lambert', 'Small cell lung Ca', 'Anti-VGCC antibodies'],
            ['Migratory thrombophlebitis (Trousseau)', 'Pancreatic, GI Ca', 'Procoagulant tumor products'],
            ['Acanthosis nigricans', 'Gastric Ca, lung', 'TGF-α, EGF-like factors'],
            ['Hypertrophic osteoarthropathy', 'Lung Ca', 'Unknown'],
        ],
        [W*0.35, W*0.3, W*0.35]
    ))
    story.append(sp(2))

    story += [q("Utility of Frozen Sections"), sp(1)]
    story += [
        lbl("Uses", "1) Intraoperative benign vs malignant diagnosis  2) Margin adequacy  3) Tissue identification (parathyroid, LN)  4) Sentinel node biopsy"),
        lbl("Limitations", "Freezing artefacts; not for fatty/bony tissue; not definitive alone; 10-15 min turnaround"),
        sp(2)
    ]

    story += [q("Etiopathogenesis of Neoplasia – LAQ"), sp(1)]
    story.append(tbl(
        ['Category', 'Gene/Agent', 'Examples / Cancer'],
        [
            ['Proto-oncogene → oncogene (GOF)', 'RAS (most common, 30%)', 'Pancreatic, lung, colorectal Ca'],
            ['', 'HER2/ErbB2', 'Breast Ca'],
            ['', 'MYC', 'Burkitt lymphoma, neuroblastoma'],
            ['', 'ABL (BCR-ABL)', 'CML'],
            ['Tumor suppressor (LOF)', 'TP53 (most common, 50%+)', 'Li-Fraumeni; almost all cancers'],
            ['', 'RB1', 'Retinoblastoma, osteosarcoma'],
            ['', 'BRCA1/2', 'Breast, ovarian Ca'],
            ['', 'APC', 'Colorectal Ca (FAP)'],
            ['Chemical carcinogens', 'Benzopyrene (smoking)', 'Lung SCC'],
            ['', 'Aflatoxin B1', 'Hepatocellular Ca'],
            ['', 'Aromatic amines', 'Bladder Ca'],
            ['Viral', 'HPV 16/18 (E6→p53, E7→Rb)', 'Cervical, oropharyngeal Ca'],
            ['', 'EBV', 'Burkitt lymphoma, NPC, HL'],
            ['', 'HBV/HCV', 'Hepatocellular Ca'],
            ['', 'HTLV-1', 'Adult T-cell leukemia'],
            ['', 'HHV-8', 'Kaposi sarcoma'],
        ],
        [W*0.3, W*0.3, W*0.4]
    ))
    story.append(sp(2))

    story.append(hr())

    # ══════════════════════════════════════════════════════════════════════
    # 12. LYMPHORETICULAR
    # ══════════════════════════════════════════════════════════════════════
    story += sec("12. DISORDERS OF LEUCOCYTES & LYMPHORETICULAR TISSUES")

    story += [q("Hodgkin's Lymphoma"), sp(1)]
    story.append(tbl(
        ['Subtype', 'Freq', 'RS Cells', 'Infiltrate', 'Prognosis'],
        [
            ['Nodular Sclerosis', '65-70%', 'Lacunar cells', 'Bands of sclerosis, eosinophils', 'Good'],
            ['Mixed Cellularity', '20-25%', 'Classic RS cells (numerous)', 'Mixed: eos, plasma cells, neut, lymphs', 'Intermediate'],
            ['Lymphocyte-rich', '5%', 'Few RS cells', 'Many lymphocytes', 'Best (cHL)'],
            ['Lymphocyte-depleted', '1%', 'Many RS cells', 'Few lymphocytes; fibrosis', 'Worst'],
            ['NLPHL (B-cell)', '5%', 'Popcorn/LP cells', 'Background nodular lymphocytes', 'Indolent'],
        ],
        [W*0.26, W*0.08, W*0.2, W*0.3, W*0.16]
    ))
    story += [
        sp(1),
        lbl("Reed-Sternberg cell",
            "Large binucleated; OWL-EYE nucleoli (prominent eosinophilic); CD30+ CD15+ CD20- CD45-; origin = germinal center B cell"),
        lbl("RS variants",
            "Lacunar cell (NS type; formalin retraction) | Mummified (pyknotic, apoptotic) | Popcorn/LP cell (NLPHL)"),
        lbl("Mixed Cellularity key features",
            "1. Classic RS cells numerous & easily found  2. Heterogeneous background (eosinophils, plasma cells, neutrophils, lymphocytes, histiocytes) – NO sclerosis"),
        lbl("Ann Arbor Staging",
            "I=single LN region | II=2+ regions same side | III=both sides diaphragm | IV=disseminated (liver/BM/lung) | B symptoms (fever, night sweats, wt loss >10%) = worse prognosis"),
        sp(2)
    ]

    # Footer
    story.append(HRFlowable(width="100%", thickness=0.5, color=colors.HexColor('#1a3a5c'),
                            spaceBefore=4, spaceAfter=2))
    story.append(Paragraph(
        "Quick Revision Pathology  |  Based on Robbins & Cotran Pathologic Basis of Disease",
        ParagraphStyle('Footer', fontName='Helvetica-Oblique', fontSize=6,
                       alignment=TA_CENTER, textColor=colors.HexColor('#888888'))
    ))

    return story


# ── Build PDF ────────────────────────────────────────────────────────────────
import os
os.makedirs('/home/daytona/workspace/output', exist_ok=True)
output_path = '/home/daytona/workspace/output/Pathology_Quick_Revision.pdf'

doc = SimpleDocTemplate(
    output_path,
    pagesize=A4,
    leftMargin=MARGIN,
    rightMargin=MARGIN,
    topMargin=8 * mm,
    bottomMargin=8 * mm,
    title="Pathology Quick Revision",
    author="Orris AI"
)

story = build_story()
doc.build(story)
print(f"PDF created: {output_path}")

# Count pages
from pypdf import PdfReader
r = PdfReader(output_path)
print(f"Total pages: {len(r.pages)}")
import os
size_kb = os.path.getsize(output_path) // 1024
print(f"File size: {size_kb} KB")

python3 /home/daytona/workspace/make_compact_pdf.py