mkdir -p /home/daytona/workspace/hematology-notes && ls /home/daytona/workspace/

~/hematology-notes/create_hematology_pdf.py

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

OUTPUT = "/home/daytona/workspace/hematology-notes/Hematology_Revision_Guide_MLT.pdf"

# Color palette
DARK_BLUE   = HexColor("#1A237E")
MED_BLUE    = HexColor("#1565C0")
LIGHT_BLUE  = HexColor("#E3F2FD")
RED         = HexColor("#C62828")
LIGHT_RED   = HexColor("#FFEBEE")
GREEN       = HexColor("#2E7D32")
LIGHT_GREEN = HexColor("#E8F5E9")
ORANGE      = HexColor("#E65100")
LIGHT_ORANGE= HexColor("#FFF3E0")
PURPLE      = HexColor("#4A148C")
LIGHT_PURPLE= HexColor("#F3E5F5")
GREY        = HexColor("#F5F5F5")
DARK_GREY   = HexColor("#424242")
YELLOW_BG   = HexColor("#FFFDE7")

doc = SimpleDocTemplate(
    OUTPUT,
    pagesize=A4,
    rightMargin=18*mm,
    leftMargin=18*mm,
    topMargin=20*mm,
    bottomMargin=18*mm,
)

styles = getSampleStyleSheet()

# Custom styles
title_style = ParagraphStyle("Title", parent=styles["Title"],
    fontSize=26, textColor=white, spaceAfter=6,
    alignment=TA_CENTER, fontName="Helvetica-Bold")

subtitle_style = ParagraphStyle("Sub", parent=styles["Normal"],
    fontSize=13, textColor=LIGHT_BLUE, spaceAfter=4,
    alignment=TA_CENTER, fontName="Helvetica")

h1 = ParagraphStyle("H1", parent=styles["Heading1"],
    fontSize=16, textColor=white, spaceBefore=14, spaceAfter=6,
    fontName="Helvetica-Bold", backColor=MED_BLUE,
    leftIndent=-8, rightIndent=-8, leading=20,
    borderPad=6)

h2 = ParagraphStyle("H2", parent=styles["Heading2"],
    fontSize=13, textColor=DARK_BLUE, spaceBefore=10, spaceAfter=4,
    fontName="Helvetica-Bold", borderPad=2)

h3 = ParagraphStyle("H3", parent=styles["Heading3"],
    fontSize=11, textColor=MED_BLUE, spaceBefore=7, spaceAfter=3,
    fontName="Helvetica-Bold")

body = ParagraphStyle("Body", parent=styles["Normal"],
    fontSize=9.5, leading=14, spaceAfter=4,
    textColor=DARK_GREY, fontName="Helvetica", alignment=TA_JUSTIFY)

bullet = ParagraphStyle("Bullet", parent=styles["Normal"],
    fontSize=9.5, leading=13, spaceAfter=2,
    leftIndent=14, bulletIndent=4,
    textColor=DARK_GREY, fontName="Helvetica")

note_style = ParagraphStyle("Note", parent=styles["Normal"],
    fontSize=9, leading=13, spaceAfter=3,
    textColor=GREEN, fontName="Helvetica-Oblique",
    leftIndent=8, rightIndent=8, backColor=LIGHT_GREEN,
    borderPad=5)

warn_style = ParagraphStyle("Warn", parent=styles["Normal"],
    fontSize=9, leading=13, spaceAfter=3,
    textColor=RED, fontName="Helvetica-Bold",
    leftIndent=8, rightIndent=8, backColor=LIGHT_RED,
    borderPad=5)

key_style = ParagraphStyle("Key", parent=styles["Normal"],
    fontSize=9.5, leading=14, spaceAfter=3,
    textColor=PURPLE, fontName="Helvetica-Bold",
    leftIndent=8, backColor=LIGHT_PURPLE, borderPad=5)

story = []

# ─────────────────── COVER PAGE ────────────────────
cover_data = [[Paragraph("🔬 HEMATOLOGY", title_style)],
              [Paragraph("Complete Revision Guide", subtitle_style)],
              [Paragraph("MLT 2nd Year | MGR University", subtitle_style)],
              [Paragraph("SRM Trichy | 2025–26", subtitle_style)]]
cover_table = Table(cover_data, colWidths=[174*mm])
cover_table.setStyle(TableStyle([
    ("BACKGROUND", (0,0), (-1,-1), DARK_BLUE),
    ("TOPPADDING",   (0,0), (-1,-1), 12),
    ("BOTTOMPADDING",(0,0), (-1,-1), 12),
    ("ALIGN", (0,0), (-1,-1), "CENTER"),
    ("VALIGN",(0,0), (-1,-1), "MIDDLE"),
    ("ROUNDEDCORNERS", (0,0), (-1,-1), 8),
]))
story.append(Spacer(1, 40*mm))
story.append(cover_table)
story.append(Spacer(1, 10*mm))

topics_cover = [
    ["Topics Covered"],
    ["1. Blood Composition & Functions"],
    ["2. Erythrocytes (RBC) & Maturation"],
    ["3. Hemoglobin - Structure & Types"],
    ["4. CBC & RBC Indices"],
    ["5. Anemia - Classification & Types"],
    ["6. WBC & Differential Count"],
    ["7. WBC Disorders & Leukemias"],
    ["8. Platelets & Coagulation"],
    ["9. Blood Groups (ABO & Rh)"],
    ["10. Lab Procedures & QC"],
]
tbl = Table(topics_cover, colWidths=[130*mm])
tbl.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(0,0), MED_BLUE),
    ("TEXTCOLOR",  (0,0),(0,0), white),
    ("FONTNAME",   (0,0),(0,0), "Helvetica-Bold"),
    ("FONTSIZE",   (0,0),(0,0), 11),
    ("BACKGROUND", (0,1),(-1,-1), LIGHT_BLUE),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,1),(-1,-1), 9.5),
    ("ALIGN",      (0,0),(-1,-1), "CENTER"),
    ("TOPPADDING", (0,0),(-1,-1), 5),
    ("BOTTOMPADDING",(0,0),(-1,-1), 5),
    ("GRID",       (0,0),(-1,-1), 0.5, MED_BLUE),
]))
story.append(tbl)
story.append(PageBreak())

# ─────────────────── HELPER FUNCTIONS ──────────────
def section_header(title, color=MED_BLUE):
    tbl = Table([[Paragraph(title, ParagraphStyle("SH", fontName="Helvetica-Bold",
        fontSize=14, textColor=white, alignment=TA_LEFT, leading=18))]], colWidths=[174*mm])
    tbl.setStyle(TableStyle([
        ("BACKGROUND", (0,0),(-1,-1), color),
        ("TOPPADDING", (0,0),(-1,-1), 8),
        ("BOTTOMPADDING",(0,0),(-1,-1), 8),
        ("LEFTPADDING",(0,0),(-1,-1), 12),
        ("ROUNDEDCORNERS",(0,0),(-1,-1),4),
    ]))
    return tbl

def info_box(text, bg=LIGHT_BLUE, fg=DARK_BLUE):
    s = ParagraphStyle("ib", fontName="Helvetica", fontSize=9.5, leading=14,
        textColor=fg, backColor=bg, leftIndent=8, rightIndent=8, borderPad=6,
        spaceAfter=4)
    return Paragraph(text, s)

def two_col_table(data, headers=None, col_widths=None):
    if col_widths is None:
        col_widths = [60*mm, 110*mm]
    all_data = []
    if headers:
        all_data.append(headers)
    all_data.extend(data)
    t = Table(all_data, colWidths=col_widths)
    style = [
        ("BACKGROUND", (0,0),(-1,0), MED_BLUE if headers else LIGHT_BLUE),
        ("TEXTCOLOR",  (0,0),(-1,0), white if headers else DARK_BLUE),
        ("FONTNAME",   (0,0),(-1,0), "Helvetica-Bold"),
        ("FONTSIZE",   (0,0),(-1,-1), 9),
        ("ALIGN",      (0,0),(-1,-1), "LEFT"),
        ("VALIGN",     (0,0),(-1,-1), "TOP"),
        ("TOPPADDING", (0,0),(-1,-1), 4),
        ("BOTTOMPADDING",(0,0),(-1,-1), 4),
        ("LEFTPADDING",(0,0),(-1,-1), 6),
        ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
        ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, GREY]),
    ]
    t.setStyle(TableStyle(style))
    return t

def bullet_list(items, color=DARK_GREY):
    paras = []
    s = ParagraphStyle("bl", fontName="Helvetica", fontSize=9.5, leading=13,
        leftIndent=14, bulletIndent=4, spaceAfter=2, textColor=color)
    for item in items:
        paras.append(Paragraph(f"• {item}", s))
    return paras

# ════════════════════════════════════════════════════
# SECTION 1 — BLOOD COMPOSITION & FUNCTIONS
# ════════════════════════════════════════════════════
story.append(section_header("SECTION 1: BLOOD COMPOSITION & FUNCTIONS"))
story.append(Spacer(1,5))

story.append(Paragraph("Overview", h2))
story.append(Paragraph(
    "Blood is a specialized connective tissue that circulates through the cardiovascular system. "
    "It consists of <b>plasma (55%)</b> and <b>formed elements (45%)</b>. "
    "Total blood volume in an adult = <b>5–6 litres</b>.", body))

story.append(Paragraph("Composition of Blood", h2))
comp_data = [
    [Paragraph("<b>Component</b>", ParagraphStyle("ch", fontName="Helvetica-Bold", fontSize=9, textColor=white)),
     Paragraph("<b>% / Normal Value</b>", ParagraphStyle("ch", fontName="Helvetica-Bold", fontSize=9, textColor=white)),
     Paragraph("<b>Key Points</b>", ParagraphStyle("ch", fontName="Helvetica-Bold", fontSize=9, textColor=white))],
    ["Plasma", "55%", "Water 90%, Proteins, Electrolytes, Nutrients, Hormones"],
    ["RBC (Erythrocytes)", "4.5–5.5 M/µL (M) / 4.0–5.0 M/µL (F)", "Transport O2 & CO2 via Hemoglobin"],
    ["WBC (Leukocytes)", "4,000–11,000/µL", "Immunity & defence"],
    ["Platelets (Thrombocytes)", "1,50,000–4,00,000/µL", "Haemostasis & clotting"],
    ["Hematocrit (PCV)", "40–54% (M) / 36–47% (F)", "% of RBC in total blood volume"],
]
tbl = Table(comp_data, colWidths=[45*mm, 50*mm, 79*mm])
tbl.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), MED_BLUE),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 9),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, GREY]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(tbl)
story.append(Spacer(1,4))
story.append(info_box("📌 KEY: Plasma proteins include Albumin (60%), Globulins (36%), Fibrinogen (4%). "
    "Serum = Plasma − Fibrinogen (clotting factors removed).", YELLOW_BG, ORANGE))

# ════════════════════════════════════════════════════
# SECTION 2 — ERYTHROCYTE MATURATION
# ════════════════════════════════════════════════════
story.append(Spacer(1,6))
story.append(section_header("SECTION 2: ERYTHROCYTES & MATURATION", RED))
story.append(Spacer(1,5))

story.append(Paragraph("RBC - Normal Features", h2))
story.append(Paragraph(
    "Normal RBC is a <b>biconcave disc</b>, 7–8 µm in diameter, 2 µm thick at edges and 1 µm at centre. "
    "Lacks nucleus and mitochondria. Life span = <b>120 days</b>. Destroyed in spleen (extravascular hemolysis).", body))

story.append(Paragraph("Normoblastic Maturation Sequence", h2))
story.append(info_box(
    "Pronormoblast → Basophilic Normoblast → Polychromatophilic Normoblast → "
    "Orthochromatic Normoblast → Reticulocyte → Mature RBC", LIGHT_GREEN, GREEN))

mat_data = [
    [Paragraph("<b>Stage</b>", ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Size</b>", ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Nucleus</b>", ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Cytoplasm</b>", ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))],
    ["Pronormoblast", "~20 µm", "Fine chromatin, nucleoli visible", "Deeply basophilic, no granules"],
    ["Basophilic Normoblast", "~16 µm", "Coarse chromatin, wheel-spoke pattern", "Deep blue (RNA rich)"],
    ["Polychromatophilic Normoblast", "~14 µm", "Dense, condensed", "Gray-blue (Hb + RNA)"],
    ["Orthochromatic Normoblast", "~10 µm", "Pyknotic (small, dense)", "Pink-gray, nearly pink"],
    ["Reticulocyte", "~8 µm", "No nucleus", "Residual RNA (blue with supravital stain)"],
    ["Mature RBC", "7–8 µm", "Absent", "Pink, biconcave disc"],
]
tbl2 = Table(mat_data, colWidths=[50*mm, 22*mm, 52*mm, 50*mm])
tbl2.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), RED),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 8.5),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_RED]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(tbl2)
story.append(Spacer(1,4))
story.append(info_box("📌 Reticulocyte count normal: 0.5–2.5% | Increased in hemolytic anemia & after blood loss | "
    "Stained with Brilliant Cresyl Blue (BCB) / New Methylene Blue (NMB)", YELLOW_BG, ORANGE))

story.append(Paragraph("Erythropoiesis Regulation", h2))
story.append(Paragraph(
    "Erythropoiesis is stimulated by <b>Erythropoietin (EPO)</b> produced by <b>peritubular cells of the kidney</b> "
    "in response to hypoxia. It acts on BFU-E and CFU-E progenitor cells in bone marrow. "
    "Iron, Vitamin B12, and Folate are essential cofactors.", body))

# ════════════════════════════════════════════════════
# SECTION 3 — HEMOGLOBIN
# ════════════════════════════════════════════════════
story.append(PageBreak())
story.append(section_header("SECTION 3: HEMOGLOBIN - STRUCTURE & TYPES", DARK_BLUE))
story.append(Spacer(1,5))

story.append(Paragraph("Structure of Hemoglobin", h2))
story.append(Paragraph(
    "Hemoglobin (Hb) = <b>Globin (protein)</b> + <b>Heme (iron-porphyrin)</b>. "
    "MW = 64,500 Da. Each Hb molecule has <b>4 heme groups</b> + <b>4 globin chains</b>. "
    "Each heme contains one <b>Fe²⁺ (ferrous)</b> ion that binds one O₂ molecule. "
    "So 1 Hb molecule carries 4 O₂ molecules.", body))

story.append(Paragraph("Types of Normal Hemoglobin", h2))
hb_data = [
    [Paragraph("<b>Type</b>", ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Chains</b>", ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>% in Adults</b>", ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Notes</b>", ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))],
    ["HbA (Adult)", "α₂β₂", "~97%", "Major adult hemoglobin"],
    ["HbA₂", "α₂δ₂", "~2–3%", "↑ in Beta-thalassemia trait"],
    ["HbF (Fetal)", "α₂γ₂", "<1% in adults", "Predominant in newborns; ↑ O₂ affinity"],
    ["HbH", "β₄", "Absent normally", "Seen in alpha-thalassemia (3-gene deletion)"],
    ["HbBarts", "γ₄", "Absent normally", "Hydrops fetalis (4-gene alpha deletion)"],
]
tbl3 = Table(hb_data, colWidths=[35*mm, 25*mm, 35*mm, 79*mm])
tbl3.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), DARK_BLUE),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 9),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_BLUE]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(tbl3)
story.append(Spacer(1,4))

story.append(Paragraph("Hemoglobin Derivatives", h2))
hbd = [
    ["Oxyhemoglobin (HbO₂)", "Hb + O₂ in lungs", "Bright red"],
    ["Deoxyhemoglobin (Hb)", "Hb without O₂ in tissues", "Dark red/purple"],
    ["Carboxyhemoglobin (HbCO)", "Hb + CO (CO poisoning)", "Cherry red; CO affinity 240× > O₂"],
    ["Methemoglobin (MetHb)", "Fe²⁺ → Fe³⁺ (cannot carry O₂)", "Chocolate brown; treated with Methylene Blue"],
    ["Sulfhemoglobin", "Hb + H₂S or drugs", "Green; irreversible"],
]
t = Table([[Paragraph("<b>Derivative</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
            Paragraph("<b>Formation</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
            Paragraph("<b>Colour/Notes</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))]] + hbd,
          colWidths=[50*mm, 65*mm, 59*mm])
t.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), PURPLE),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 9),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_PURPLE]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(t)

story.append(Paragraph("Cyanmethemoglobin (HiCN) Method", h3))
story.append(info_box(
    "GOLD STANDARD method for Hb estimation. Blood + Drabkin's reagent (K₃Fe(CN)₆ + KCN). "
    "RBC lysed, Hb → Methemoglobin → Cyanmethemoglobin. Read at 540 nm. "
    "Does NOT measure HbS or HbCO well.", LIGHT_GREEN, GREEN))

# ════════════════════════════════════════════════════
# SECTION 4 — CBC & RBC INDICES
# ════════════════════════════════════════════════════
story.append(Spacer(1,6))
story.append(section_header("SECTION 4: CBC & RBC INDICES", GREEN))
story.append(Spacer(1,5))

story.append(Paragraph("Normal CBC Reference Values", h2))
cbc_data = [
    [Paragraph("<b>Parameter</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Male</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Female</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Unit</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))],
    ["Hemoglobin (Hb)", "13.5–17.5", "12.0–16.0", "g/dL"],
    ["RBC Count", "4.5–5.5", "4.0–5.0", "million/µL"],
    ["Hematocrit / PCV", "40–54%", "36–47%", "%"],
    ["WBC (TLC)", "4,000–11,000", "4,000–11,000", "/µL"],
    ["Platelet Count", "1,50,000–4,00,000", "1,50,000–4,00,000", "/µL"],
    ["MCV", "80–100", "80–100", "fL (femtolitres)"],
    ["MCH", "27–33", "27–33", "pg (picograms)"],
    ["MCHC", "32–36", "32–36", "g/dL"],
    ["RDW", "11.5–14.5%", "11.5–14.5%", "%"],
    ["Reticulocyte count", "0.5–2.5%", "0.5–2.5%", "%"],
]
tcbc = Table(cbc_data, colWidths=[60*mm, 35*mm, 35*mm, 44*mm])
tcbc.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), GREEN),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 9),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_GREEN]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(tcbc)
story.append(Spacer(1,4))

story.append(Paragraph("RBC Indices - Formulae", h2))
indices_data = [
    [Paragraph("<b>Index</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Formula</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Normal</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Clinical Use</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))],
    ["MCV (Mean Cell Volume)", "PCV (%) × 10 / RBC (millions/µL)", "80–100 fL", "Micro/Macro/Normocytic anemia classification"],
    ["MCH (Mean Cell Hb)", "Hb (g/dL) × 10 / RBC (millions/µL)", "27–33 pg", "Hypochromic / Normochromic"],
    ["MCHC (Mean Cell Hb Conc.)", "Hb (g/dL) × 100 / PCV (%)", "32–36 g/dL", "MCHC >36 = spherocytosis"],
    ["RDW (RBC Distrib. Width)", "SD of MCV / Mean MCV × 100", "11.5–14.5%", "Anisocytosis detection"],
]
ti = Table(indices_data, colWidths=[45*mm, 50*mm, 28*mm, 51*mm])
ti.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), DARK_BLUE),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 8.5),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_BLUE]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(ti)

# ════════════════════════════════════════════════════
# SECTION 5 — ANEMIA
# ════════════════════════════════════════════════════
story.append(PageBreak())
story.append(section_header("SECTION 5: ANEMIA - CLASSIFICATION & TYPES", RED))
story.append(Spacer(1,5))

story.append(Paragraph("Definition", h2))
story.append(Paragraph(
    "Anemia = reduction in <b>Hb concentration</b> below the normal for age and sex. "
    "WHO criteria: Hb < 13 g/dL in adult males, < 12 g/dL in adult females, < 11 g/dL in children.", body))

story.append(Paragraph("Morphological Classification (MCV-based)", h2))
anemia_morph = [
    [Paragraph("<b>Type</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>MCV</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>MCHC</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Examples</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))],
    ["Microcytic Hypochromic", "< 80 fL", "< 32 g/dL", "Iron Deficiency, Thalassemia, Sideroblastic anemia, Lead poisoning"],
    ["Normocytic Normochromic", "80–100 fL", "32–36 g/dL", "Aplastic anemia, Hemolytic anemia, Acute blood loss, CKD"],
    ["Macrocytic (Megaloblastic)", "> 100 fL", "32–36 g/dL", "Vit B12 deficiency, Folate deficiency"],
    ["Macrocytic (Non-megaloblastic)", "> 100 fL", "Normal", "Liver disease, Hypothyroidism, Alcohol"],
]
tam = Table(anemia_morph, colWidths=[50*mm, 20*mm, 25*mm, 79*mm])
tam.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), RED),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 8.5),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_RED]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(tam)
story.append(Spacer(1,4))

story.append(Paragraph("Iron Deficiency Anemia (IDA)", h2))
story.append(info_box("Most COMMON anemia worldwide. Microcytic Hypochromic.", LIGHT_RED, RED))
ida_data = [
    ["Serum Iron", "↓ Decreased"],
    ["TIBC (Total Iron Binding Capacity)", "↑ Increased"],
    ["Serum Ferritin", "↓ Decreased (earliest marker)"],
    ["Transferrin Saturation", "< 16% (normal 25–50%)"],
    ["Peripheral Smear", "Microcytes, Hypochromia, Pencil cells, Target cells, Anisocytosis, Poikilocytosis"],
    ["Bone Marrow", "Absent iron stores (Prussian blue stain - negative)"],
    ["Treatment", "Oral Ferrous Sulphate 200mg TID"],
]
for row in ida_data:
    story.append(Paragraph(f"<b>{row[0]}:</b> {row[1]}", bullet))
story.append(Spacer(1,4))

story.append(Paragraph("Megaloblastic Anemia", h2))
story.append(Paragraph(
    "Caused by deficiency of <b>Vitamin B12</b> or <b>Folic Acid</b> → impaired DNA synthesis "
    "→ large, immature red cells (megaloblasts).", body))
mega_data = [
    [Paragraph("<b>Feature</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Vit B12 Deficiency</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Folate Deficiency</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))],
    ["Dietary source", "Animal products, dairy", "Green leafy vegetables"],
    ["Storage", "Liver 3–5 years", "Liver 3–4 months"],
    ["Intrinsic Factor needed?", "YES (from gastric parietal cells)", "NO"],
    ["Neurological signs?", "YES (subacute combined degeneration)", "NO"],
    ["Serum level", "< 200 pg/mL", "< 4 ng/mL (RBC folate)"],
    ["Peripheral smear", "Macrocytes, Hypersegmented neutrophils (>5 lobes)", "Same"],
    ["Schilling test", "Used to differentiate cause", "Not applicable"],
]
tmega = Table(mega_data, colWidths=[50*mm, 62*mm, 62*mm])
tmega.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), PURPLE),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 8.5),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_PURPLE]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(tmega)
story.append(Spacer(1,4))

story.append(Paragraph("Hemolytic Anemias", h2))
story.append(Paragraph(
    "Characterized by <b>premature destruction of RBCs</b>. Life span < 120 days. "
    "Compensatory erythropoiesis increases reticulocyte count.", body))
hemo_types = [
    ["Hereditary Spherocytosis", "Defect in spectrin/ankyrin; spherocytes on smear; osmotic fragility ↑; Coombs test negative; splenomegaly"],
    ["G6PD Deficiency", "X-linked; episodic hemolysis (drugs, infection, fava beans); Heinz bodies; bite cells"],
    ["Sickle Cell Disease (HbSS)", "β-globin gene mutation; HbS polymerizes under low O₂; sickle cells, target cells; Hb electrophoresis confirms"],
    ["Autoimmune Hemolytic Anemia", "Warm type (IgG) or Cold type (IgM); Direct Coombs Test POSITIVE"],
    ["PNH (Paroxysmal Nocturnal Hb-uria)", "CD55/CD59 deficiency; Ham's test +ve; Flow cytometry gold standard"],
]
th = Table([[Paragraph("<b>Condition</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
             Paragraph("<b>Key Features</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))]] + hemo_types,
           colWidths=[55*mm, 119*mm])
th.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), ORANGE),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 8.5),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_ORANGE]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(th)

# ════════════════════════════════════════════════════
# SECTION 6 — WBC & DIFFERENTIAL COUNT
# ════════════════════════════════════════════════════
story.append(PageBreak())
story.append(section_header("SECTION 6: WBC & DIFFERENTIAL COUNT", PURPLE))
story.append(Spacer(1,5))

story.append(Paragraph("WBC Types and Normal %", h2))
wbc_data = [
    [Paragraph("<b>Cell Type</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Normal %</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Function</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Key Features</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))],
    ["Neutrophils", "50–70%", "Phagocytosis of bacteria", "Multi-lobed nucleus; 1st responders; ↑ in bacterial infection"],
    ["Lymphocytes", "20–40%", "Humoral & cell-mediated immunity", "Round dark nucleus; B cells & T cells; ↑ in viral infections"],
    ["Monocytes", "2–8%", "Phagocytosis, Antigen presentation", "Horse-shoe/kidney-shaped nucleus; become macrophages in tissue"],
    ["Eosinophils", "1–4%", "Parasitic infections, Allergic response", "Bi-lobed nucleus; red granules; ↑ in allergy & parasites (NAACP)"],
    ["Basophils", "0–1%", "Release histamine & heparin", "Large dark blue-purple granules; ↑ in CML"],
]
twbc = Table(wbc_data, colWidths=[40*mm, 22*mm, 45*mm, 67*mm])
twbc.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), PURPLE),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 8.5),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_PURPLE]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(twbc)
story.append(Spacer(1,4))
story.append(info_box(
    "Memory trick for WBC differential (High → Low): Never Let Monkeys Eat Bananas\n"
    "N - Neutrophils (50–70%) | L - Lymphocytes (20–40%) | M - Monocytes (2–8%) | "
    "E - Eosinophils (1–4%) | B - Basophils (0–1%)", YELLOW_BG, ORANGE))

story.append(Paragraph("WBC Morphology Changes", h2))
morph_changes = [
    ["Hypersegmented Neutrophils", "≥5 lobes → Megaloblastic anemia (Vit B12 / Folate deficiency)"],
    ["Toxic Granulation", "Heavy dark granules → Severe bacterial infection / sepsis"],
    ["Döhle Bodies", "Light blue inclusions in cytoplasm → Infection, burns, pregnancy"],
    ["Pelger-Huet Anomaly", "Bilobed (peanut-shaped) neutrophils → congenital or pseudo (drugs)"],
    ["Auer Rods", "Pink rod-shaped inclusions → AML (Acute Myeloid Leukemia) - PATHOGNOMONIC"],
    ["Smudge Cells (Basket cells)", "Disrupted fragile lymphocytes → CLL (Chronic Lymphocytic Leukemia)"],
    ["Reactive Lymphocytes", "Large, irregular, vacuolated → EBV (Infectious Mononucleosis)"],
]
twm = Table([[Paragraph("<b>Finding</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
              Paragraph("<b>Significance</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))]] + morph_changes,
            colWidths=[60*mm, 114*mm])
twm.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), DARK_BLUE),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 8.5),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_BLUE]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(twm)

# ════════════════════════════════════════════════════
# SECTION 7 — LEUKEMIAS
# ════════════════════════════════════════════════════
story.append(Spacer(1,6))
story.append(section_header("SECTION 7: LEUKEMIAS & WBC DISORDERS", DARK_BLUE))
story.append(Spacer(1,5))

story.append(Paragraph("Leukemia Overview", h2))
story.append(Paragraph(
    "Leukemia = malignant proliferation of leukocytes. Classified as <b>Acute vs Chronic</b> "
    "and <b>Myeloid vs Lymphoid</b>.", body))

leuk_data = [
    [Paragraph("<b>Type</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Age Group</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>WBC Count</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Key Features</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))],
    ["ALL (Acute Lymphoblastic Leukemia)", "Children (2–10 yrs)", "↑↑", "Most common childhood leukemia; Lymphoblasts; TdT+; CD10+ (CALLA)"],
    ["AML (Acute Myeloid Leukemia)", "Adults (>60 yrs)", "↑↑", "Auer rods pathognomonic; FAB classification M0–M7; M3 = APL (t15;17) → ATRA therapy"],
    ["CML (Chronic Myeloid Leukemia)", "Adults (40–60 yrs)", "↑↑↑ (>100,000)", "Philadelphia chromosome t(9;22) BCR-ABL; Basophilia; Treated with Imatinib"],
    ["CLL (Chronic Lymphocytic Leukemia)", "Elderly (>60 yrs)", "↑ Lymphocytes", "Smudge/basket cells; CD5+CD19+CD23+; Indolent course"],
]
tl = Table(leuk_data, colWidths=[55*mm, 28*mm, 22*mm, 69*mm])
tl.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), DARK_BLUE),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 8.5),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_BLUE]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(tl)
story.append(Spacer(1,4))
story.append(info_box(
    "⭐ HIGH YIELD: Auer rods → AML only | Philadelphia chromosome → CML | "
    "Smudge cells → CLL | TdT positive → ALL | t(15;17) → AML-M3 (APL) → treat with ATRA", YELLOW_BG, ORANGE))

# ════════════════════════════════════════════════════
# SECTION 8 — PLATELETS & COAGULATION
# ════════════════════════════════════════════════════
story.append(PageBreak())
story.append(section_header("SECTION 8: PLATELETS & COAGULATION", ORANGE))
story.append(Spacer(1,5))

story.append(Paragraph("Platelets", h2))
plt_info = [
    "Normal count: 1,50,000 – 4,00,000 / µL",
    "Size: 2–3 µm; no nucleus; life span 7–10 days",
    "Produced by megakaryocytes in bone marrow (thrombopoietin stimulated)",
    "Thrombocytopenia: count < 1,00,000/µL | Severe: < 20,000/µL (spontaneous bleeding)",
    "Thrombocytosis: count > 4,00,000/µL (infection, post-splenectomy, CML)",
]
story.extend(bullet_list(plt_info, DARK_GREY))
story.append(Spacer(1,4))

story.append(Paragraph("Coagulation Cascade", h2))
story.append(info_box(
    "Extrinsic pathway → Factor VII + Tissue Factor → X activation → Common pathway\n"
    "Intrinsic pathway → Factors XII, XI, IX, VIII → X activation → Common pathway\n"
    "Common pathway → Factor X + V → Prothrombin → Thrombin → Fibrinogen → Fibrin clot", LIGHT_BLUE, DARK_BLUE))
story.append(Spacer(1,4))

story.append(Paragraph("Coagulation Tests", h2))
coag_data = [
    [Paragraph("<b>Test</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Normal Value</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Pathway Tested</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Prolonged in</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))],
    ["PT (Prothrombin Time)", "11–14 seconds", "Extrinsic + Common", "Warfarin therapy, Vit K deficiency, Liver disease, Factor VII deficiency"],
    ["aPTT (Activated PTT)", "25–35 seconds", "Intrinsic + Common", "Heparin therapy, Hemophilia A/B, Factor deficiency, Lupus anticoagulant"],
    ["INR (International Normalized Ratio)", "0.8–1.2 (therapeutic: 2–3)", "Extrinsic", "Monitor Warfarin therapy"],
    ["TT (Thrombin Time)", "15–20 seconds", "Common (fibrinogen)", "Heparin, Fibrinogen deficiency, DIC"],
    ["BT (Bleeding Time)", "2–9 minutes (Duke method)", "Platelet function", "ITP, vWD, Aspirin use"],
    ["CT (Clotting Time – Lee-White)", "5–15 minutes", "Overall coagulation", "Hemophilia, Heparin"],
]
tcoag = Table(coag_data, colWidths=[45*mm, 35*mm, 35*mm, 59*mm])
tcoag.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), ORANGE),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 8.5),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_ORANGE]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(tcoag)
story.append(Spacer(1,4))

story.append(Paragraph("Hemophilia A vs B", h2))
hemo_compare = [
    [Paragraph("<b>Feature</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Hemophilia A</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Hemophilia B (Christmas disease)</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))],
    ["Factor deficiency", "Factor VIII", "Factor IX"],
    ["Inheritance", "X-linked recessive", "X-linked recessive"],
    ["aPTT", "↑ Prolonged", "↑ Prolonged"],
    ["PT/INR", "Normal", "Normal"],
    ["BT", "Normal", "Normal"],
    ["Treatment", "Factor VIII concentrate / Desmopressin (DDAVP)", "Factor IX concentrate"],
]
themo = Table(hemo_compare, colWidths=[50*mm, 62*mm, 62*mm])
themo.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), RED),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 9),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_RED]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(themo)

# ════════════════════════════════════════════════════
# SECTION 9 — BLOOD GROUPS
# ════════════════════════════════════════════════════
story.append(Spacer(1,6))
story.append(section_header("SECTION 9: BLOOD GROUPS (ABO & Rh SYSTEM)", MED_BLUE))
story.append(Spacer(1,5))

story.append(Paragraph("ABO Blood Group System", h2))
abo_data = [
    [Paragraph("<b>Blood Group</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Antigen on RBC</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Antibody in Serum</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Can donate to</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
     Paragraph("<b>Can receive from</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))],
    ["A", "A antigen", "Anti-B", "A, AB", "A, O"],
    ["B", "B antigen", "Anti-A", "B, AB", "B, O"],
    ["AB (Universal Recipient)", "A and B antigens", "None (No antibodies)", "AB only", "A, B, AB, O"],
    ["O (Universal Donor)", "None", "Anti-A and Anti-B", "A, B, AB, O", "O only"],
]
tabo = Table(abo_data, colWidths=[40*mm, 35*mm, 38*mm, 30*mm, 31*mm])
tabo.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), MED_BLUE),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 8.5),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_BLUE]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(tabo)
story.append(Spacer(1,4))

story.append(Paragraph("Rh Blood Group System", h2))
rh_info = [
    "Most important antigen: <b>D antigen</b> (Rh factor)",
    "Rh positive (Rh+): D antigen present (~85% population)",
    "Rh negative (Rh−): D antigen absent",
    "Anti-D antibodies: <b>NOT naturally occurring</b> - form only after exposure",
    "Hemolytic Disease of Newborn (HDN / Erythroblastosis Fetalis): Rh− mother, Rh+ fetus",
    "Prevention: Anti-D immunoglobulin (Rho-GAM) given to Rh− mother within 72 hours of delivery",
]
for item in rh_info:
    story.append(Paragraph(f"• {item}", bullet))
story.append(Spacer(1,4))

story.append(Paragraph("Coombs Test (Antiglobulin Test)", h2))
coomb_data = [
    ["Direct Coombs Test (DCT / DAT)", "Detects antibodies/complement ALREADY attached to RBCs in vivo",
     "AIHA, HDN, Transfusion reactions"],
    ["Indirect Coombs Test (ICT / IAT)", "Detects antibodies FREE in patient's SERUM (in vitro)",
     "Crossmatching, Rh antibody screening in pregnancy"],
]
tc = Table([[Paragraph("<b>Test</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
             Paragraph("<b>Detects</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
             Paragraph("<b>Uses</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))]] + coomb_data,
           colWidths=[52*mm, 72*mm, 50*mm])
tc.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), DARK_BLUE),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 8.5),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_BLUE]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(tc)

# ════════════════════════════════════════════════════
# SECTION 10 — LAB PROCEDURES & QC
# ════════════════════════════════════════════════════
story.append(PageBreak())
story.append(section_header("SECTION 10: LAB PROCEDURES, STAINS & QC", GREEN))
story.append(Spacer(1,5))

story.append(Paragraph("Blood Sample Collection", h2))
samp_data = [
    ["EDTA (K₂ / K₃ EDTA)", "CBC, Hb, PCV, Differential count, Reticulocyte count, Blood film"],
    ["Sodium Citrate (3.2%)", "PT, aPTT, TT, Coagulation studies (9:1 ratio blood:anticoagulant)"],
    ["Heparin (Lithium/Sodium)", "Blood gas analysis, Chromosome studies"],
    ["Sodium Fluoride + Potassium Oxalate", "Blood glucose (preserves glucose for 24–48 hrs)"],
    ["Plain tube (no anticoagulant)", "Serum: Biochemistry, Serology, Blood grouping"],
]
ts = Table([[Paragraph("<b>Anticoagulant / Tube</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
             Paragraph("<b>Tests Performed</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))]] + samp_data,
           colWidths=[68*mm, 106*mm])
ts.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), GREEN),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 9),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_GREEN]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(ts)
story.append(Spacer(1,4))

story.append(Paragraph("Peripheral Blood Smear Stains", h2))
stain_data = [
    ["Leishman stain", "Routine differential count; Romanowsky stain (azure B + eosin)"],
    ["Giemsa stain", "Malaria parasites, Tropical infections"],
    ["Wright stain", "Routine; most common stain in western labs"],
    ["Brilliant Cresyl Blue (BCB)", "Reticulocyte count (supravital stain - stains RNA blue)"],
    ["Perl's Prussian Blue", "Iron stores in bone marrow; Sideroblastic anemia detection"],
    ["PAS (Periodic Acid-Schiff)", "Glycogen in cells; positive in ALL; erythroleukemia"],
    ["Sudan Black B (SBB)", "Lipid granules in myeloid cells; positive in AML (not ALL)"],
    ["MPO (Myeloperoxidase)", "Positive in AML; Negative in ALL - differentiates AML from ALL"],
    ["Non-specific esterase (NSE)", "Positive in monocytic leukemia (AML-M5)"],
]
tst = Table([[Paragraph("<b>Stain</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
              Paragraph("<b>Use / Significance</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))]] + stain_data,
            colWidths=[60*mm, 114*mm])
tst.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), DARK_BLUE),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 8.5),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_BLUE]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(tst)
story.append(Spacer(1,4))

story.append(Paragraph("ESR (Erythrocyte Sedimentation Rate)", h2))
esr_data = [
    ["Normal (Westergren)", "Male: 0–15 mm/hr | Female: 0–20 mm/hr | Children: 0–10 mm/hr"],
    ["Method", "Westergren (gold standard), Wintrobe, Micromethod"],
    ["Anticoagulant", "Sodium Citrate (4:1 ratio, blood:anticoagulant) for Westergren"],
    ["↑ ESR (Raised)", "Infection, Inflammation, Malignancy, Anemia, Pregnancy, TB, RA, SLE"],
    ["↓ ESR (Low)", "Polycythemia vera, Sickle cell anemia, HbC disease, Spherocytosis"],
    ["Factors ↑ ESR", "Anemia, fibrinogen, immunoglobulins, macrocytosis"],
    ["Factors ↓ ESR", "Polycythemia, microcytosis, spherocytosis, hyperviscosity"],
]
tesr = Table([[Paragraph("<b>Parameter</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
               Paragraph("<b>Details</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))]] + esr_data,
             colWidths=[55*mm, 119*mm])
tesr.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), MED_BLUE),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 9),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_BLUE]),
    ("TOPPADDING", (0,0),(-1,-1), 4),
    ("BOTTOMPADDING",(0,0),(-1,-1), 4),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(tesr)

# ════════════════════════════════════════════════════
# QUICK REVISION TABLE (LAST PAGE)
# ════════════════════════════════════════════════════
story.append(PageBreak())
story.append(section_header("⭐ QUICK REVISION - HIGH YIELD POINTS", RED))
story.append(Spacer(1,6))

qr_items = [
    ["Philadelphia chromosome (t9;22) BCR-ABL", "CML (Chronic Myeloid Leukemia)"],
    ["Auer rods in WBC cytoplasm", "AML (Acute Myeloid Leukemia) - PATHOGNOMONIC"],
    ["TdT (Terminal deoxynucleotidyl transferase) positive", "ALL (Acute Lymphoblastic Leukemia)"],
    ["Smudge / Basket cells on smear", "CLL (Chronic Lymphocytic Leukemia)"],
    ["t(15;17) → APL → treat with ATRA", "AML-M3 (Acute Promyelocytic Leukemia)"],
    ["Hypersegmented neutrophils (>5 lobes)", "Megaloblastic anemia (B12 / Folate deficiency)"],
    ["Prussian blue negative in bone marrow", "Iron deficiency anemia (no iron stores)"],
    ["Osmotic fragility ↑, Coombs negative", "Hereditary Spherocytosis"],
    ["Heinz bodies + Bite cells", "G6PD Deficiency"],
    ["Sickle cells on PBS, Hb electrophoresis HbSS", "Sickle Cell Disease"],
    ["TIBC ↑, Serum iron ↓, Ferritin ↓", "Iron Deficiency Anemia"],
    ["HbA₂ > 3.5%", "Beta-thalassemia trait"],
    ["Direct Coombs Test positive", "AIHA, HDN, Transfusion reaction"],
    ["Cyanmethemoglobin method (540nm)", "Gold standard for Hb estimation"],
    ["Sodium Citrate (9:1)", "Coagulation studies (PT, aPTT)"],
    ["EPO produced by", "Peritubular cells of kidney (in response to hypoxia)"],
    ["Normal RBC life span", "120 days (destroyed in spleen)"],
    ["Reticulocyte stain", "Brilliant Cresyl Blue (BCB) / New Methylene Blue"],
    ["MPO positive → AML; MPO negative → ALL", "Cytochemical differentiation of leukemia"],
    ["Factor VIII deficiency", "Hemophilia A | Factor IX deficiency → Hemophilia B (Christmas)"],
]

qr_table_data = [[Paragraph("<b>Finding / Test</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white)),
                   Paragraph("<b>Diagnosis / Significance</b>",ParagraphStyle("t",fontName="Helvetica-Bold",fontSize=9,textColor=white))]]
for i, (finding, dx) in enumerate(qr_items):
    qr_table_data.append([finding, dx])

tqr = Table(qr_table_data, colWidths=[95*mm, 79*mm])
tqr.setStyle(TableStyle([
    ("BACKGROUND", (0,0),(-1,0), RED),
    ("TEXTCOLOR",  (0,0),(-1,0), white),
    ("FONTNAME",   (0,1),(-1,-1), "Helvetica"),
    ("FONTSIZE",   (0,0),(-1,-1), 8.5),
    ("GRID",       (0,0),(-1,-1), 0.4, colors.grey),
    ("ROWBACKGROUNDS", (0,1),(-1,-1), [white, LIGHT_RED]),
    ("TOPPADDING", (0,0),(-1,-1), 3),
    ("BOTTOMPADDING",(0,0),(-1,-1), 3),
    ("VALIGN",     (0,0),(-1,-1), "TOP"),
]))
story.append(tqr)
story.append(Spacer(1,8))

# Footer note
story.append(info_box(
    "📚 Sources: Henry's Clinical Diagnosis & Management by Laboratory Methods | "
    "Tietz Textbook of Laboratory Medicine | MGR University MLT Syllabus 2025-26 | "
    "Prepared by Orris AI for SRM Trichy MLT 2nd Year", LIGHT_GREEN, GREEN))

# ────────── BUILD PDF ──────────
doc.build(story)
print(f"PDF created: {OUTPUT}")

cd /home/daytona/workspace/hematology-notes && python create_hematology_pdf.py 2…

ls -lh /home/daytona/workspace/hematology-notes/