NUTRITIONAL DISORDERS

ls /home/daytona/workspace/ 2>/dev/null || mkdir -p /home/daytona/workspace/nutr…

mkdir -p /home/daytona/workspace/nutritional-disorders && python3 -c "import rep…

~/nutritional-disorders/generate_pdf.py

#!/usr/bin/env python3
"""
Nutritional Disorders Compilation - BAMS 2nd Prof
Generates a well-formatted 12-14 page PDF using ReportLab
"""

from reportlab.lib.pagesizes import A4
from reportlab.lib import colors
from reportlab.lib.units import mm, cm
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY
from reportlab.platypus import (
    SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle,
    HRFlowable, PageBreak, KeepTogether
)
from reportlab.platypus.flowables import BalancedColumns
from reportlab.pdfgen import canvas
from reportlab.lib.utils import ImageReader
import os

OUTPUT_PATH = "/home/daytona/workspace/nutritional-disorders/Nutritional_Disorders_BAMS_2ndProf.pdf"

# ── Colour palette ────────────────────────────────────────────────────────────
DARK_BLUE   = colors.HexColor("#1a3a5c")   # headings / banner
MED_BLUE    = colors.HexColor("#2e6da4")   # unit titles
LIGHT_BLUE  = colors.HexColor("#dce9f5")   # table header fill
TEAL        = colors.HexColor("#0e7c86")   # sub-section
GOLD        = colors.HexColor("#d4a017")   # accent rule
WHITE       = colors.white
LIGHT_GREY  = colors.HexColor("#f5f5f5")   # alternate table rows
DARK_GREY   = colors.HexColor("#333333")   # body text

# ── Page setup ────────────────────────────────────────────────────────────────
PAGE_W, PAGE_H = A4
L_MARGIN = R_MARGIN = 2.0 * cm
T_MARGIN = B_MARGIN = 2.0 * cm


class NumberedCanvas(canvas.Canvas):
    """Adds header/footer to every page."""

    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self._saved_page_states = []

    def showPage(self):
        self._saved_page_states.append(dict(self.__dict__))
        self._startPage()

    def save(self):
        num_pages = len(self._saved_page_states)
        for state in self._saved_page_states:
            self.__dict__.update(state)
            self.draw_header_footer(num_pages)
            canvas.Canvas.showPage(self)
        canvas.Canvas.save(self)

    def draw_header_footer(self, total_pages):
        page_num = self._saved_page_states.index(
            {k: v for k, v in self.__dict__.items() if k in self._saved_page_states[0]}
        ) + 1 if hasattr(self, '_pageNumber') else self._pageNumber

        # Header bar (skip cover page)
        if self._pageNumber > 1:
            self.setFillColor(DARK_BLUE)
            self.rect(L_MARGIN, PAGE_H - T_MARGIN + 3*mm, PAGE_W - L_MARGIN - R_MARGIN, 6*mm, fill=1, stroke=0)
            self.setFillColor(WHITE)
            self.setFont("Helvetica-Bold", 8)
            self.drawString(L_MARGIN + 3*mm, PAGE_H - T_MARGIN + 5*mm, "NUTRITIONAL DISORDERS")
            self.drawRightString(PAGE_W - R_MARGIN - 3*mm, PAGE_H - T_MARGIN + 5*mm, "BAMS 2nd Professional")

        # Footer
        self.setFillColor(DARK_GREY)
        self.setFont("Helvetica", 7.5)
        self.drawCentredString(PAGE_W / 2, B_MARGIN - 8*mm,
                               f"Page {self._pageNumber}  |  Sources: Robbins & Cotran Pathology · Harrison's IM 22e · Park's PSM")
        # Gold rule above footer
        self.setStrokeColor(GOLD)
        self.setLineWidth(0.8)
        self.line(L_MARGIN, B_MARGIN - 4*mm, PAGE_W - R_MARGIN, B_MARGIN - 4*mm)


def build_styles():
    base = getSampleStyleSheet()

    styles = {
        "cover_title": ParagraphStyle("cover_title",
            fontName="Helvetica-Bold", fontSize=28, textColor=WHITE,
            alignment=TA_CENTER, leading=34),

        "cover_sub": ParagraphStyle("cover_sub",
            fontName="Helvetica", fontSize=13, textColor=colors.HexColor("#d0e8ff"),
            alignment=TA_CENTER, leading=18),

        "cover_meta": ParagraphStyle("cover_meta",
            fontName="Helvetica-Oblique", fontSize=10, textColor=colors.HexColor("#aaccee"),
            alignment=TA_CENTER, leading=14),

        "unit_title": ParagraphStyle("unit_title",
            fontName="Helvetica-Bold", fontSize=13, textColor=WHITE,
            spaceBefore=10, spaceAfter=6, leading=16,
            leftIndent=0, backColor=MED_BLUE,
            borderPadding=(4, 6, 4, 6)),

        "section_h2": ParagraphStyle("section_h2",
            fontName="Helvetica-Bold", fontSize=11.5, textColor=DARK_BLUE,
            spaceBefore=9, spaceAfter=4, leading=14),

        "section_h3": ParagraphStyle("section_h3",
            fontName="Helvetica-Bold", fontSize=10.5, textColor=TEAL,
            spaceBefore=7, spaceAfter=3, leading=13),

        "body": ParagraphStyle("body",
            fontName="Helvetica", fontSize=9.5, textColor=DARK_GREY,
            alignment=TA_JUSTIFY, leading=14, spaceAfter=3),

        "bullet": ParagraphStyle("bullet",
            fontName="Helvetica", fontSize=9.5, textColor=DARK_GREY,
            leftIndent=12, firstLineIndent=0, leading=13,
            spaceAfter=2, bulletIndent=3),

        "bullet2": ParagraphStyle("bullet2",
            fontName="Helvetica", fontSize=9, textColor=DARK_GREY,
            leftIndent=22, firstLineIndent=0, leading=12,
            spaceAfter=1, bulletIndent=13),

        "table_hdr": ParagraphStyle("table_hdr",
            fontName="Helvetica-Bold", fontSize=8.5, textColor=WHITE,
            alignment=TA_CENTER, leading=11),

        "table_cell": ParagraphStyle("table_cell",
            fontName="Helvetica", fontSize=8.5, textColor=DARK_GREY,
            leading=11, spaceAfter=0),

        "table_cell_b": ParagraphStyle("table_cell_b",
            fontName="Helvetica-Bold", fontSize=8.5, textColor=DARK_GREY,
            leading=11, spaceAfter=0),

        "mnemonic": ParagraphStyle("mnemonic",
            fontName="Helvetica-BoldOblique", fontSize=9.5, textColor=TEAL,
            leftIndent=8, leading=13, spaceAfter=2),

        "note": ParagraphStyle("note",
            fontName="Helvetica-Oblique", fontSize=8.5, textColor=colors.HexColor("#555555"),
            leftIndent=8, leading=12, spaceAfter=2),

        "source": ParagraphStyle("source",
            fontName="Helvetica-Oblique", fontSize=7.5, textColor=colors.HexColor("#888888"),
            alignment=TA_CENTER, leading=10),
    }
    return styles


def hr(color=GOLD, thickness=0.8, space_before=4, space_after=4):
    return HRFlowable(width="100%", thickness=thickness, color=color,
                      spaceBefore=space_before, spaceAfter=space_after)


def unit_header(text, S):
    return Paragraph(f"  {text}", S["unit_title"])


def h2(text, S):
    return Paragraph(text, S["section_h2"])


def h3(text, S):
    return Paragraph(text, S["section_h3"])


def body(text, S):
    return Paragraph(text, S["body"])


def bullet(text, S, level=1):
    key = "bullet" if level == 1 else "bullet2"
    return Paragraph(f"•  {text}", S[key])


def note(text, S):
    return Paragraph(f"<i>{text}</i>", S["note"])


def spacer(h=4):
    return Spacer(1, h * mm)


def make_table(headers, rows, S, col_widths=None):
    th = S["table_hdr"]
    tc = S["table_cell"]
    tcb = S["table_cell_b"]

    hdr_row = [Paragraph(h, th) for h in headers]
    data = [hdr_row]
    for i, row in enumerate(rows):
        data.append([Paragraph(str(cell), tcb if j == 0 else tc)
                     for j, cell in enumerate(row)])

    available = PAGE_W - L_MARGIN - R_MARGIN
    if col_widths is None:
        cw = available / len(headers)
        col_widths = [cw] * len(headers)
    else:
        col_widths = [c * cm for c in col_widths]

    table = Table(data, colWidths=col_widths, repeatRows=1)

    row_bg = []
    for i in range(1, len(data)):
        bg = LIGHT_GREY if i % 2 == 0 else WHITE
        row_bg.append(("BACKGROUND", (0, i), (-1, i), bg))

    style = TableStyle([
        ("BACKGROUND", (0, 0), (-1, 0), DARK_BLUE),
        ("TEXTCOLOR", (0, 0), (-1, 0), WHITE),
        ("ALIGN", (0, 0), (-1, -1), "LEFT"),
        ("VALIGN", (0, 0), (-1, -1), "TOP"),
        ("FONTNAME", (0, 0), (-1, 0), "Helvetica-Bold"),
        ("FONTSIZE", (0, 0), (-1, 0), 8.5),
        ("ROWBACKGROUND", (0, 1), (-1, -1), [WHITE, LIGHT_GREY]),
        ("GRID", (0, 0), (-1, -1), 0.4, colors.HexColor("#cccccc")),
        ("LINEBELOW", (0, 0), (-1, 0), 1.2, GOLD),
        ("TOPPADDING", (0, 0), (-1, -1), 4),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 4),
        ("LEFTPADDING", (0, 0), (-1, -1), 5),
        ("RIGHTPADDING", (0, 0), (-1, -1), 5),
    ] + row_bg)
    table.setStyle(style)
    return table


# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
# CONTENT BUILDER
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
def build_content(S):
    story = []
    AW = PAGE_W - L_MARGIN - R_MARGIN   # available width

    # ── COVER PAGE ────────────────────────────────────────────────────────────
    story.append(Spacer(1, 3.5 * cm))

    # Decorative banner
    banner_data = [[Paragraph("NUTRITIONAL DISORDERS", S["cover_title"])]]
    banner = Table(banner_data, colWidths=[AW])
    banner.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, -1), DARK_BLUE),
        ("TOPPADDING", (0, 0), (-1, -1), 18),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 18),
        ("LEFTPADDING", (0, 0), (-1, -1), 10),
        ("RIGHTPADDING", (0, 0), (-1, -1), 10),
    ]))
    story.append(banner)
    story.append(spacer(6))

    story.append(Paragraph("A Comprehensive Study Compilation", S["cover_sub"]))
    story.append(spacer(2))
    story.append(Paragraph("BAMS 2nd Professional — Physiology / Biochemistry / Community Medicine", S["cover_meta"]))
    story.append(spacer(10))

    # Gold separator
    story.append(hr(GOLD, 2.0))
    story.append(spacer(4))

    # Info box
    info_data = [
        [Paragraph("<b>Subject:</b>", S["table_cell"]),
         Paragraph("Nutritional Disorders", S["table_cell"])],
        [Paragraph("<b>Level:</b>", S["table_cell"]),
         Paragraph("BAMS 2nd Professional", S["table_cell"])],
        [Paragraph("<b>Topics Covered:</b>", S["table_cell"]),
         Paragraph("PEM · Vitamin Deficiencies · Mineral Disorders · Obesity · Prevention", S["table_cell"])],
        [Paragraph("<b>Sources:</b>", S["table_cell"]),
         Paragraph("Robbins &amp; Cotran Pathology · Harrison's IM 22e · Park's PSM 26e", S["table_cell"])],
        [Paragraph("<b>Date:</b>", S["table_cell"]),
         Paragraph("July 2026", S["table_cell"])],
    ]
    info_table = Table(info_data, colWidths=[4*cm, AW - 4*cm])
    info_table.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, -1), LIGHT_BLUE),
        ("GRID", (0, 0), (-1, -1), 0.5, colors.HexColor("#aaaaaa")),
        ("TOPPADDING", (0, 0), (-1, -1), 5),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 5),
        ("LEFTPADDING", (0, 0), (-1, -1), 8),
        ("RIGHTPADDING", (0, 0), (-1, -1), 8),
        ("VALIGN", (0, 0), (-1, -1), "MIDDLE"),
    ]))
    story.append(info_table)
    story.append(spacer(12))

    # Table of Contents
    toc_items = [
        ("Unit 1", "Introduction to Malnutrition"),
        ("Unit 2", "Protein-Energy Malnutrition (PEM) — Kwashiorkor & Marasmus"),
        ("Unit 3", "Vitamin Deficiency Disorders (A, D, B1, B2, B3, B6, B9, B12, C, K, E)"),
        ("Unit 4", "Mineral Deficiency Disorders (Iron, Iodine, Zinc, Fluoride)"),
        ("Unit 5", "Obesity and Overnutrition"),
        ("Unit 6", "Master Summary Table — Vitamins"),
        ("Unit 7", "High-Yield Points & Mnemonics"),
        ("Unit 8", "Prevention of Nutritional Disorders"),
    ]
    story.append(h2("Contents", S))
    story.append(hr(MED_BLUE, 0.5))
    for num, title in toc_items:
        story.append(Paragraph(f"&nbsp;&nbsp;<b>{num}</b> &nbsp;—&nbsp; {title}",
                                ParagraphStyle("toc", fontName="Helvetica", fontSize=9.5,
                                               textColor=DARK_GREY, leading=16, leftIndent=5)))
    story.append(PageBreak())

    # ── UNIT 1 ─────────────────────────────────────────────────────────────────
    story.append(unit_header("UNIT 1 — INTRODUCTION TO MALNUTRITION", S))
    story.append(spacer(3))

    story.append(h2("Definition & Concepts", S))
    story.append(body(
        "An appropriate diet must provide: (1) sufficient <b>energy</b> (carbohydrates, fats, proteins) "
        "for daily metabolic needs; (2) <b>amino acids and fatty acids</b> as building blocks for protein "
        "and lipid synthesis; (3) <b>vitamins and minerals</b> acting as coenzymes, hormones, or structural "
        "components.", S))
    story.append(spacer(2))
    story.append(bullet("<b>Primary malnutrition</b> — missing components in the diet itself.", S))
    story.append(bullet("<b>Secondary malnutrition</b> — results from malabsorption, impaired utilisation/storage, excess loss, or increased nutrient needs.", S))
    story.append(note("Source: Robbins & Cotran Pathologic Basis of Disease, p. 411", S))
    story.append(spacer(4))

    story.append(h2("Causes of Malnutrition", S))
    causes_headers = ["Cause", "Explanation"]
    causes_rows = [
        ["Poverty", "Homeless persons, elderly, and children of the poor. In low-resource countries: crop failures, drought, war."],
        ["Acute / Chronic Illness", "Raised BMR increases nutrient needs. Wasting diseases (cancer, AIDS) cause cachexia."],
        ["Chronic Alcoholism", "Deficiency of thiamine, pyridoxine, folate, vitamin A; risk of Wernicke encephalopathy and Korsakoff psychosis."],
        ["Ignorance", "Failure to recognise increased needs in infants, adolescents, pregnant women. E.g., thiamine deficiency from polished-rice diet."],
        ["Self-imposed restriction", "Anorexia nervosa, bulimia, and other eating disorders."],
        ["Other causes", "GI diseases, malabsorption syndromes, genetic diseases, certain drug therapies, inadequate parenteral nutrition."],
    ]
    story.append(make_table(causes_headers, causes_rows, S, col_widths=[4.5, 11.5]))
    story.append(spacer(4))
    story.append(PageBreak())

    # ── UNIT 2 ─────────────────────────────────────────────────────────────────
    story.append(unit_header("UNIT 2 — PROTEIN-ENERGY MALNUTRITION (PEM)", S))
    story.append(spacer(3))

    story.append(h2("Definition & Epidemiology (WHO/UNICEF)", S))
    story.append(body(
        "SAM (Severe Acute Malnutrition) is a life-threatening wasting disorder of children caused by poor "
        "nutrient intake and/or recurrent illnesses. In 2022, ~45 million children under 5 (6.8%) were affected "
        "by wasting; 13.6 million (2.1%) suffered from SAM. Over 148 million children suffer from stunting.", S))
    story.append(spacer(2))

    story.append(h3("Diagnostic Criteria for SAM", S))
    story.append(bullet("MUAC (Mid-Upper Arm Circumference) < 115 mm", S))
    story.append(bullet("Weight-for-height Z-score < −3 SD below normal", S))
    story.append(bullet("Presence of bilateral pitting oedema of the lower limbs", S))
    story.append(spacer(4))

    story.append(h3("WHO Nutritional Indices", S))
    who_headers = ["Index", "Condition", "Cut-off for Moderate (−2 SD)", "Cut-off for Severe (−3 SD)"]
    who_rows = [
        ["Weight-for-age", "Underweight", "< −2 SD", "< −3 SD"],
        ["Height/Length-for-age", "Stunting (past malnutrition)", "< −2 SD", "< −3 SD"],
        ["Weight-for-Height/Length", "Wasting (current malnutrition)", "< −2 SD", "< −3 SD"],
    ]
    story.append(make_table(who_headers, who_rows, S, col_widths=[4, 4, 4, 4]))
    story.append(spacer(3))

    story.append(h3("MUAC Classification (Children 1–5 years)", S))
    muac_headers = ["MUAC", "Nutritional Status"]
    muac_rows = [
        ["> 13.5 cm", "Satisfactory / Normal"],
        ["12.5 – 13.5 cm", "Mild to Moderate Malnutrition"],
        ["< 12.5 cm", "Severe Malnutrition (SAM)"],
        ["< 11.5 cm (WHO SAM)", "Severe Acute Malnutrition"],
    ]
    story.append(make_table(muac_headers, muac_rows, S, col_widths=[5, 11]))
    story.append(spacer(5))

    story.append(h2("2.1  Kwashiorkor", S))
    story.append(body(
        "<b>Definition:</b> Severe PEM from diets with a <b>low protein/energy ratio</b> — caloric intake may "
        "be adequate but protein is severely deficient. <b>Pathogenesis:</b> Protein deprivation → "
        "loss of visceral protein compartment → <b>hypoalbuminaemia</b> → generalised/dependent oedema.", S))
    story.append(spacer(2))

    kw_headers = ["Feature", "Description"]
    kw_rows = [
        ["Oedema", "Generalised or dependent — cardinal feature; pitting; may mask muscle wasting"],
        ["Growth failure", "Stunted height; reduced weight (masked by oedema)"],
        ["Liver", "Enlarged, fatty (↓ apolipoprotein synthesis → ↓ lipoprotein export → fat accumulation)"],
        ["Skin", '"Flaky-paint" dermatosis — hyperpigmentation, desquamation, erosions'],
        ["Hair", "Depigmentation, reddish-yellow colour, flag sign (alternating bands), easy pluckability"],
        ["Mental state", "Apathy, listlessness, miserable expression, loss of appetite"],
        ["GI tract", "Villous atrophy of small bowel → malabsorption, diarrhoea"],
        ["Biochemistry", "Very low serum albumin, low transferrin, low retinol-binding protein, anaemia"],
    ]
    story.append(make_table(kw_headers, kw_rows, S, col_widths=[4.5, 11.5]))
    story.append(spacer(5))

    story.append(h2("2.2  Marasmus", S))
    story.append(body(
        "<b>Definition:</b> Caused by inadequate intake of <b>both protein and energy</b>. Severe cachexia "
        "with catabolism of fat stores and muscle protein. <b>No oedema</b> — key distinguishing feature.", S))
    story.append(spacer(2))

    ma_headers = ["Feature", "Description"]
    ma_rows = [
        ["Appearance", '"Wizened old man" / "monkey face"; loss of Bichat\'s buccal fat pad'],
        ["Weight", "< 60% expected weight-for-age; severe muscle and fat wasting"],
        ["Oedema", "Absent"],
        ["Skin", "Thin, wrinkled, hanging in loose folds; no flaky-paint dermatosis"],
        ["Hair", "Sparse but not severely depigmented"],
        ["Serum albumin", "Relatively preserved (near normal)"],
        ["Mental state", "Irritable, alert (contrast with apathetic kwashiorkor)"],
        ["Liver", "Normal size (no fatty change)"],
    ]
    story.append(make_table(ma_headers, ma_rows, S, col_widths=[4.5, 11.5]))
    story.append(spacer(5))

    story.append(h2("2.3  Comparison: Kwashiorkor vs Marasmus", S))
    comp_headers = ["Feature", "Kwashiorkor", "Marasmus"]
    comp_rows = [
        ["Cause", "Low protein/energy ratio", "Deficiency of both protein and energy"],
        ["Oedema", "Present (generalised/pitting)", "Absent"],
        ["Weight loss", "Less affected (oedema masks)", "Severe (<60% expected)"],
        ["Subcutaneous fat", "Preserved", "Severely depleted"],
        ["Serum albumin", "Very low", "Near normal"],
        ["Liver", "Enlarged, fatty", "Normal"],
        ["Skin changes", "Flaky-paint dermatosis", "Thin, wrinkled, loose folds"],
        ["Hair changes", "Depigmented, flag sign", "Sparse, less depigmented"],
        ["Mental state", "Apathy, withdrawn", "Irritable, alert"],
        ["Appetite", "Poor/anorexic", "Voracious (hungry)"],
    ]
    story.append(make_table(comp_headers, comp_rows, S, col_widths=[4.5, 5.75, 5.75]))
    story.append(note("Marasmic-Kwashiorkor: mixed form with severe wasting PLUS oedema — most severe presentation.", S))
    story.append(note("Sources: Robbins & Cotran Pathology p. 412–413; Park's PSM p. 736", S))
    story.append(PageBreak())

    # ── UNIT 3 ─────────────────────────────────────────────────────────────────
    story.append(unit_header("UNIT 3 — VITAMIN DEFICIENCY DISORDERS", S))
    story.append(spacer(3))

    # ── Vit A ──
    story.append(h2("3.1  Vitamin A Deficiency — Xerophthalmia", S))
    story.append(body("<b>Sources:</b> Liver, fish, eggs, milk (preformed); yellow/green vegetables — β-carotene "
                      "(provitamin A, ~30% of dietary Vit A). <b>Absorption:</b> Fat-soluble; requires bile + "
                      "pancreatic enzymes; stored in liver.", S))
    story.append(spacer(2))
    story.append(h3("Functions", S))
    for f in ["Maintenance of normal vision (component of rhodopsin — visual pigment)",
              "Regulation of cell growth and differentiation",
              "Maintenance of specialized epithelia (respiratory, urinary, GI tracts)",
              "Immune function — resistance to infection (especially measles)"]:
        story.append(bullet(f, S))
    story.append(spacer(3))

    story.append(h3("WHO Staging of Xerophthalmia", S))
    xero_headers = ["WHO Stage", "Feature"]
    xero_rows = [
        ["XN", "Night blindness (nyctalopia) — FIRST symptom"],
        ["X1A", "Conjunctival xerosis (dryness)"],
        ["X1B", "Bitot's spots — grey foamy triangular patches on bulbar conjunctiva"],
        ["X2", "Corneal xerosis (corneal dryness)"],
        ["X3A", "Corneal ulceration / keratomalacia — < 1/3 corneal surface"],
        ["X3B", "Corneal ulceration / keratomalacia — ≥ 1/3 corneal surface (→ blindness)"],
        ["XS", "Corneal scar"],
        ["XF", "Xerophthalmic fundus"],
    ]
    story.append(make_table(xero_headers, xero_rows, S, col_widths=[2.5, 13.5]))
    story.append(spacer(2))
    story.append(body("<b>Systemic effects:</b> Squamous metaplasia of epithelia; increased susceptibility to "
                      "infections. <b>Toxicity (Hypervitaminosis A):</b> Alopecia, bone/joint pain, "
                      "desquamation, hepatomegaly, raised intracranial pressure.", S))
    story.append(spacer(4))

    # ── Vit D ──
    story.append(h2("3.2  Vitamin D Deficiency — Rickets / Osteomalacia", S))
    story.append(h3("Metabolism Pathway", S))
    metab_data = [
        ["SKIN\n7-dehydrocholesterol + UV (290–315 nm)", "→", "Cholecalciferol (Vit D3)"],
        ["LIVER\nVit D3 + 25-hydroxylase", "→", "25-OH-D3 (storage form)"],
        ["KIDNEY\n25-OH-D3 + 1α-hydroxylase", "→", "1,25-(OH)2D3 = Calcitriol (ACTIVE)"],
    ]
    metab_table = Table(metab_data, colWidths=[8*cm, 1*cm, 7*cm])
    metab_table.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, -1), LIGHT_BLUE),
        ("FONTNAME", (0, 0), (0, -1), "Helvetica-Bold"),
        ("FONTSIZE", (0, 0), (-1, -1), 8.5),
        ("GRID", (0, 0), (-1, -1), 0.4, colors.HexColor("#aaaaaa")),
        ("ALIGN", (1, 0), (1, -1), "CENTER"),
        ("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(metab_table)
    story.append(spacer(2))
    story.append(body(
        "<b>Regulation of renal 1α-hydroxylase:</b> Upregulated by hypocalcaemia (via PTH) and "
        "hypophosphataemia. Downregulated by 1,25-(OH)2D3 itself and FGF23 (from osteoblasts/osteocytes).", S))
    story.append(spacer(3))

    story.append(h3("Clinical Features of Rickets (Children)", S))
    rickets_headers = ["Anatomical Site", "Features"]
    rickets_rows = [
        ["Skull", "Craniotabes (ping-pong feeling), frontal bossing, delayed fontanelle closure"],
        ["Chest", "Rickety rosary (costochondral beading), Harrison's sulcus, pigeon chest"],
        ["Limbs", "Bow legs (genu varum) or knock knees (genu valgum); widened wrists and ankles"],
        ["Spine", "Kyphoscoliosis"],
        ["Teeth", "Delayed dentition, enamel hypoplasia"],
        ["General", "Growth retardation, hypotonia, irritability, increased susceptibility to infections"],
    ]
    story.append(make_table(rickets_headers, rickets_rows, S, col_widths=[4, 12]))
    story.append(spacer(2))
    story.append(body("<b>Lab findings:</b> Low serum Ca, low/normal PO4, elevated ALP, low 25-OH-D3, elevated PTH. "
                      "<b>X-ray:</b> Cupping, fraying, splaying of metaphyses. In osteomalacia: Looser's zones (pseudofractures).", S))
    story.append(spacer(5))

    # ── B vitamins ──
    story.append(h2("3.3  Thiamine (B1) Deficiency — Beriberi", S))
    story.append(body("<b>Function:</b> Coenzyme in decarboxylation of α-ketoacids (pyruvate, α-ketoglutarate); "
                      "essential for energy generation; coenzyme for transketolase (pentose phosphate pathway).", S))
    story.append(spacer(2))
    beri_headers = ["Form", "Key Features"]
    beri_rows = [
        ["Dry Beriberi (Neurological)", "Symmetric peripheral polyneuropathy: ascending weakness, paraesthesia, numbness"],
        ["Wet Beriberi (Cardiac)", "Cardiomegaly, high-output cardiac failure, generalised oedema"],
        ["Wernicke Encephalopathy", "Triad: Confusion + Ophthalmoplegia (lateral gaze palsy) + Ataxia — alcoholics"],
        ["Korsakoff Syndrome", "Anterograde amnesia + Confabulation — late/irreversible stage"],
        ["Infantile Beriberi", "In breast-fed infants of deficient mothers: cardiac failure, aphonia, oedema"],
    ]
    story.append(make_table(beri_headers, beri_rows, S, col_widths=[5.5, 10.5]))
    story.append(note("⚠ Always give Thiamine BEFORE glucose in comatose/alcoholic patients — glucose can precipitate Wernicke's encephalopathy!", S))
    story.append(spacer(4))

    story.append(h2("3.4  Riboflavin (B2) Deficiency — Ariboflavinosis", S))
    for f in ["Magenta (beefy red) tongue — glossitis",
              "Angular stomatitis and cheilosis (cracking/fissuring of lips and angles of mouth)",
              "Seborrhoeic dermatitis (around nose, genitalia)",
              "Ocular: corneal vascularisation, photophobia, lacrimation"]:
        story.append(bullet(f, S))
    story.append(spacer(4))

    story.append(h2("3.5  Niacin (B3) Deficiency — Pellagra", S))
    story.append(body("<b>Classic '4 Ds':</b> Dermatitis · Diarrhoea · Dementia · Death", S))
    story.append(spacer(2))
    for f in ["<b>Dermatitis:</b> Pigmented scaly rash on sun-exposed areas; Casal's necklace around neck",
              "<b>Diarrhoea:</b> Inflammation of GI mucosa; bright red tongue, oral ulcers",
              "<b>Dementia:</b> Apathy, memory loss, confusion, disorientation",
              "<b>Special:</b> Pellagra occurs with maize-based diets (low tryptophan), carcinoid syndrome, isoniazid use (INH depletes B6 needed for niacin synthesis from tryptophan)"]:
        story.append(bullet(f, S))
    story.append(spacer(4))

    story.append(h2("3.6  Pyridoxine (B6) Deficiency", S))
    for f in ["Seborrhoeic dermatitis, glossitis",
              "Convulsions (especially in infants — B6-dependent epilepsy)",
              "Peripheral neuropathy; depression, confusion",
              "Microcytic anaemia (pyridoxine needed for haem synthesis)",
              "Caused by isoniazid (INH), oral contraceptives, penicillamine"]:
        story.append(bullet(f, S))
    story.append(spacer(4))

    story.append(h2("3.7  Vitamin B12 (Cobalamin) Deficiency", S))
    story.append(body("<b>Sources:</b> Exclusively animal products. Strict vegans at high risk. "
                      "<b>Absorption:</b> Requires Intrinsic Factor (IF) from gastric parietal cells. "
                      "Deficiency of IF → Pernicious Anaemia.", S))
    story.append(spacer(2))
    for f in ["<b>Megaloblastic (macrocytic) anaemia</b> — hypersegmented neutrophils",
              "<b>Subacute Combined Degeneration (SCD) of Spinal Cord</b> — demyelination of posterior and lateral columns: loss of vibration/position sense, spasticity, paraplegia",
              "<b>Glossitis</b> — beefy red smooth tongue",
              "<b>Neuropsychiatric:</b> dementia, depression, psychosis",
              "<b>Labs:</b> Elevated homocysteine AND methylmalonic acid (both elevated — distinguishes from folate deficiency)"]:
        story.append(bullet(f, S))
    story.append(spacer(4))

    story.append(h2("3.8  Folic Acid (B9) Deficiency", S))
    for f in ["Megaloblastic anaemia (identical to B12 haematologically)",
              "NO neurological manifestations (key distinction from B12 deficiency)",
              "Neural tube defects (NTDs) in foetus — spina bifida, anencephaly, when mother is deficient",
              "Prevention: Periconceptional folic acid 400 μg/day for all women of childbearing age"]:
        story.append(bullet(f, S))
    story.append(spacer(4))

    story.append(h2("3.9  Vitamin C (Ascorbic Acid) Deficiency — Scurvy", S))
    story.append(body("<b>Function:</b> Essential for hydroxylation of proline and lysine in collagen synthesis. "
                      "Without it, collagen is improperly cross-linked and structurally unstable.", S))
    story.append(spacer(2))
    story.append(Paragraph("<b>Mnemonic: BLEED</b>", S["mnemonic"]))
    bleed_data = [
        ["B", "Bleeding gums — spongy, swollen, haemorrhagic (due to defective collagen)"],
        ["L", "Loose teeth"],
        ["E", "Easy bruising — perifollicular petechiae and purpura"],
        ["E", "Emotional changes — irritability, depression"],
        ["D", "Defective wound healing — poor collagen deposition"],
    ]
    for letter, desc in bleed_data:
        story.append(Paragraph(
            f"&nbsp;&nbsp;&nbsp;<b><font color='#0e7c86'>{letter}</font></b> — {desc}",
            ParagraphStyle("bleed", fontName="Helvetica", fontSize=9.5, leading=13,
                           leftIndent=10, textColor=DARK_GREY, spaceAfter=2)))
    story.append(spacer(2))
    for f in ["Corkscrew (coiled) hairs — pathognomonic",
              "Subperiosteal haemorrhages (painful legs in children; 'frog position')",
              "Woody oedema of legs; anaemia"]:
        story.append(bullet(f, S))
    story.append(spacer(4))

    story.append(h2("3.10  Vitamin K Deficiency", S))
    story.append(body("<b>Function:</b> Cofactor in hepatic γ-carboxylation of coagulation factors II (prothrombin), "
                      "VII, IX, X, protein C, and protein S. Synthesised by intestinal bacteria and found in "
                      "green leafy vegetables.", S))
    story.append(spacer(2))
    for f in ["Abnormal bleeding — elevated PT and APTT",
              "Haemorrhagic Disease of the Newborn (HDN): lack of Vit K in breast milk + sterile gut + poor placental transfer",
              "Prevention of HDN: Vitamin K 1 mg IM at birth (universal neonatal prophylaxis)",
              "Contributing factors: biliary obstruction (fat malabsorption), broad-spectrum antibiotics, warfarin therapy"]:
        story.append(bullet(f, S))
    story.append(spacer(4))

    story.append(h2("3.11  Vitamin E Deficiency", S))
    story.append(body("<b>Function:</b> Major antioxidant — scavenges free radicals, protects cell membranes "
                      "from lipid peroxidation.", S))
    for f in ["Spinocerebellar degeneration (ataxia, areflexia)",
              "Haemolytic anaemia in premature neonates",
              "Retinopathy"]:
        story.append(bullet(f, S))
    story.append(note("Source: Harrison's Principles of Internal Medicine, 22e (2025); Robbins & Cotran p. 414–420", S))
    story.append(PageBreak())

    # ── UNIT 4 ─────────────────────────────────────────────────────────────────
    story.append(unit_header("UNIT 4 — MINERAL DEFICIENCY DISORDERS", S))
    story.append(spacer(3))

    story.append(h2("4.1  Iron Deficiency Anaemia", S))
    story.append(h3("Causes", S))
    for c in ["Inadequate dietary intake (infants on milk diet, strict vegetarians)",
              "Increased demands (pregnancy, adolescent growth spurts)",
              "Chronic blood loss (hookworm, menorrhagia, peptic ulcer)",
              "Malabsorption (coeliac disease, post-gastrectomy)"]:
        story.append(bullet(c, S))
    story.append(spacer(3))
    story.append(h3("Clinical Features", S))
    for f in ["Tiredness, pallor, dyspnoea on exertion",
              "<b>Koilonychia</b> — spoon-shaped nails",
              "Glossitis, angular stomatitis",
              "<b>Pica</b> — craving for non-food items (ice, clay, chalk)",
              "<b>Plummer-Vinson Syndrome:</b> Iron deficiency + dysphagia + upper oesophageal web",
              "Children: poor concentration, impaired cognitive development"]:
        story.append(bullet(f, S))
    story.append(spacer(3))
    story.append(h3("Laboratory Findings", S))
    lab_headers = ["Parameter", "Finding in IDA"]
    lab_rows = [
        ["Haemoglobin", "Low"],
        ["MCV", "< 80 fL (microcytic)"],
        ["MCH", "Low (hypochromic)"],
        ["Serum Ferritin", "Low (best indicator of iron stores)"],
        ["Serum Iron", "Low"],
        ["TIBC (Total Iron Binding Capacity)", "Elevated"],
        ["RDW (Red Cell Distribution Width)", "Elevated"],
    ]
    story.append(make_table(lab_headers, lab_rows, S, col_widths=[7, 9]))
    story.append(spacer(5))

    story.append(h2("4.2  Iodine Deficiency Disorders (IDD)", S))
    story.append(body("Iodine is essential for synthesis of thyroid hormones (T3 and T4). "
                      "Deficiency leads to a spectrum of conditions.", S))
    story.append(spacer(2))
    idd_headers = ["Stage of Life", "Consequences"]
    idd_rows = [
        ["Foetal", "Abortion, stillbirth, congenital anomalies, cretinism"],
        ["Neonatal", "Neonatal goitre, neonatal hypothyroidism"],
        ["Child / Adolescent", "Goitre, hypothyroidism, impaired mental and physical development"],
        ["Adult", "Goitre, hypothyroidism, impaired mental function"],
        ["All ages", "Goitre (most visible sign), increased susceptibility to nuclear radiation"],
    ]
    story.append(make_table(idd_headers, idd_rows, S, col_widths=[4.5, 11.5]))
    story.append(spacer(3))
    story.append(h3("Cretinism", S))
    story.append(body("Severe hypothyroidism from foetal or early neonatal iodine deficiency.", S))
    cret_headers = ["Type", "Features"]
    cret_rows = [
        ["Neurological Cretinism", "Mental retardation, deaf-mutism, squint (strabismus), spastic diplegia"],
        ["Hypothyroid / Myxoedematous Cretinism", "Growth failure, delayed bone maturation, myxoedema, hypothyroidism"],
    ]
    story.append(make_table(cret_headers, cret_rows, S, col_widths=[5.5, 10.5]))
    story.append(note("Prevention: Universal Salt Iodisation (USI) — iodisation at 15–20 ppm. Iodised oil injections in severely deficient areas.", S))
    story.append(spacer(5))

    story.append(h2("4.3  Zinc Deficiency", S))
    story.append(body("Zinc is a cofactor for >300 enzymes; involved in protein synthesis, wound healing, "
                      "immune function (T-cell), taste, and smell.", S))
    for f in ["<b>Acrodermatitis enteropathica</b> (genetic zinc malabsorption): perioral and acral dermatitis, alopecia, diarrhoea",
              "Growth retardation, delayed puberty, hypogonadism",
              "Impaired wound healing; impaired immune function",
              "Ageusia (loss of taste), anosmia (loss of smell)"]:
        story.append(bullet(f, S))
    story.append(spacer(4))

    story.append(h2("4.4  Fluoride — Deficiency and Excess", S))
    fluor_headers = ["Condition", "Features"]
    fluor_rows = [
        ["Fluoride Deficiency", "Increased susceptibility to dental caries"],
        ["Dental Fluorosis (excess)", "Mottled enamel — chalky white patches, brown staining, pitting"],
        ["Skeletal Fluorosis (excess)", "Dense rigid bones, calcification of ligaments, neurological compression symptoms"],
    ]
    story.append(make_table(fluor_headers, fluor_rows, S, col_widths=[5, 11]))
    story.append(PageBreak())

    # ── UNIT 5 ─────────────────────────────────────────────────────────────────
    story.append(unit_header("UNIT 5 — OBESITY AND OVERNUTRITION", S))
    story.append(spacer(3))

    story.append(h2("Definition (WHO BMI Classification)", S))
    bmi_headers = ["Category", "BMI (kg/m²)", "Asian Cut-off"]
    bmi_rows = [
        ["Normal", "18.5 – 24.9", "18.5 – 22.9"],
        ["Overweight", "25 – 29.9", "≥ 23"],
        ["Obese Grade I", "30 – 34.9", "≥ 25"],
        ["Obese Grade II", "35 – 39.9", "≥ 27.5"],
        ["Obese Grade III (Morbid)", "≥ 40", "≥ 32.5"],
    ]
    story.append(make_table(bmi_headers, bmi_rows, S, col_widths=[6, 5, 5]))
    story.append(spacer(4))

    story.append(h2("Complications of Obesity", S))
    compl_headers = ["System", "Complications"]
    compl_rows = [
        ["Metabolic", "Type 2 diabetes mellitus, dyslipidaemia, NAFLD/NASH, hyperuricaemia"],
        ["Cardiovascular", "Hypertension, coronary artery disease, stroke, cardiomyopathy"],
        ["Respiratory", "Obstructive sleep apnoea, obesity hypoventilation syndrome"],
        ["Musculoskeletal", "Osteoarthritis (especially knee), gout"],
        ["Oncological", "Endometrial, breast, colorectal, oesophageal, pancreatic carcinoma"],
        ["Reproductive", "PCOS, infertility, gestational diabetes"],
        ["Psychological", "Depression, anxiety, low self-esteem, social isolation"],
    ]
    story.append(make_table(compl_headers, compl_rows, S, col_widths=[4.5, 11.5]))
    story.append(PageBreak())

    # ── UNIT 6 ─────────────────────────────────────────────────────────────────
    story.append(unit_header("UNIT 6 — MASTER SUMMARY TABLE: VITAMINS", S))
    story.append(spacer(3))
    story.append(note("Source: Robbins & Cotran Pathologic Basis of Disease Table 9.9 + Harrison's IM 22e Table 344-1", S))
    story.append(spacer(3))

    vit_headers = ["Vitamin", "Type", "Key Function", "Deficiency Disease", "Hallmark Features"]
    vit_rows = [
        ["A (Retinol)", "Fat-soluble", "Visual pigment; epithelial integrity; immune function",
         "Xerophthalmia", "Night blindness, Bitot's spots, keratomalacia"],
        ["D (Calcitriol)", "Fat-soluble", "Ca/P absorption; bone mineralisation",
         "Rickets (child)\nOsteomalacia (adult)", "Bow legs, craniotabes, rickety rosary"],
        ["E (Tocopherol)", "Fat-soluble", "Antioxidant; scavenges free radicals",
         "Spinocerebellar degeneration", "Ataxia, haemolytic anaemia in neonates"],
        ["K (Phylloquinone)", "Fat-soluble", "Carboxylation of clotting factors II, VII, IX, X",
         "Bleeding disorder; HDN", "Elevated PT/APTT; neonatal haemorrhage"],
        ["B1 (Thiamine)", "Water-soluble", "Decarboxylation of α-ketoacids; energy metabolism",
         "Beriberi; Wernicke-Korsakoff", "Peripheral neuropathy, cardiomegaly, ophthalmoplegia, amnesia"],
        ["B2 (Riboflavin)", "Water-soluble", "Oxidation-reduction (FAD, FMN coenzymes)",
         "Ariboflavinosis", "Magenta tongue, angular stomatitis, corneal vascularisation"],
        ["B3 (Niacin)", "Water-soluble", "NAD/NADP coenzyme; energy metabolism",
         "Pellagra", "Dermatitis, diarrhoea, dementia (3 Ds)"],
        ["B6 (Pyridoxine)", "Water-soluble", "Amino acid metabolism; haem synthesis",
         "—", "Convulsions (infants), microcytic anaemia, neuropathy"],
        ["B9 (Folate)", "Water-soluble", "DNA synthesis; one-carbon transfer",
         "Megaloblastic anaemia; NTDs", "No neurological signs; NTDs in foetus"],
        ["B12 (Cobalamin)", "Water-soluble", "DNA synthesis; myelin maintenance",
         "Megaloblastic anaemia; SCD", "Subacute combined degeneration, dementia, ↑MMA"],
        ["C (Ascorbic acid)", "Water-soluble", "Collagen synthesis (proline/lysine hydroxylation)",
         "Scurvy", "Bleeding gums, corkscrew hairs, subperiosteal haemorrhage"],
    ]
    story.append(make_table(vit_headers, vit_rows, S, col_widths=[2.8, 2.5, 4.2, 3, 3.5]))
    story.append(PageBreak())

    # ── UNIT 7 ─────────────────────────────────────────────────────────────────
    story.append(unit_header("UNIT 7 — HIGH-YIELD POINTS & MNEMONICS", S))
    story.append(spacer(3))

    story.append(h2("Key Mnemonics", S))
    mnems = [
        ("Fat-soluble vitamins", "ADEK — Vitamins A, D, E, K"),
        ("Pellagra", "4 Ds — Dermatitis, Diarrhoea, Dementia, Death"),
        ("Scurvy", "BLEED — Bleeding gums, Loose teeth, Easy bruising, Emotional changes, Defective healing"),
        ("Wernicke's triad", "CAO — Confusion, Ataxia, Ophthalmoplegia"),
        ("Rickets signs", "BRiCH — Bow legs, Rickety rosary, Craniotabes, Harrison's sulcus"),
        ("Kwashiorkor vs Marasmus", "K has the K — Kwashiorkor = edeKa (Oedema present)"),
    ]
    mnem_headers = ["Topic", "Mnemonic / Rule"]
    story.append(make_table(mnem_headers, mnems, S, col_widths=[5, 11]))
    story.append(spacer(5))

    story.append(h2("High-Yield Exam Points", S))
    hy_headers = ["Question / Point", "Answer"]
    hy_rows = [
        ["Feature that differentiates Kwashiorkor from Marasmus", "Oedema (present in Kwashiorkor; absent in Marasmus)"],
        ["First symptom of Vitamin A deficiency", "Night blindness (nyctalopia)"],
        ["Active form of Vitamin D", "Calcitriol = 1,25-(OH)2D3 (produced in kidney)"],
        ["Storage form of Vitamin D", "25-OH-D3 (produced in liver)"],
        ["Vitamin deficiency causing Beriberi and Wernicke's", "Thiamine (Vitamin B1)"],
        ["Give this BEFORE glucose in comatose alcoholics", "Thiamine (to prevent precipitating Wernicke's)"],
        ["NTD prevention in pregnancy", "Folic acid 400 μg/day periconceptionally"],
        ["Spinal cord degeneration (SCD) caused by", "Vitamin B12 deficiency"],
        ["Maize diet → deficiency of", "Niacin / Tryptophan → Pellagra"],
        ["Defective collagen synthesis due to", "Vitamin C deficiency → Scurvy"],
        ["Haemorrhagic Disease of the Newborn prevented by", "Vitamin K 1 mg IM at birth"],
        ["Pernicious anaemia mechanism", "Intrinsic Factor deficiency → Vitamin B12 malabsorption"],
        ["Bitot's spots", "Vitamin A deficiency (stage X1B xerophthalmia)"],
        ["Corkscrew hairs + perifollicular purpura", "Scurvy (Vitamin C deficiency)"],
        ["MUAC < 12.5 cm", "Severe malnutrition in children 1–5 years"],
        ["Best indicator of iron stores", "Serum Ferritin (lowest in IDA)"],
        ["Lab value elevated in both B12 AND folate deficiency", "Homocysteine (but methylmalonic acid elevated only in B12)"],
        ["Universal Salt Iodisation level", "15–20 ppm iodine"],
        ["Children severely wasted are __× more likely to die", "9 times more likely than well-nourished children"],
    ]
    story.append(make_table(hy_headers, hy_rows, S, col_widths=[8.5, 7.5]))
    story.append(PageBreak())

    # ── UNIT 8 ─────────────────────────────────────────────────────────────────
    story.append(unit_header("UNIT 8 — PREVENTION OF NUTRITIONAL DISORDERS", S))
    story.append(spacer(3))

    story.append(h2("Public Health Strategies", S))
    prev_headers = ["Strategy", "Details"]
    prev_rows = [
        ["Diet Diversification", "Promote varied diet including animal proteins, vegetables, pulses, and fruits"],
        ["Food Fortification", "Universal Salt Iodisation (USI); Vit A fortification of oil; iron/folic acid in flour; Vit D in milk"],
        ["Supplementation Programmes",
         "Vit A: 6-monthly mega-dose in children 6 months–5 years\n"
         "IFA: Pregnant/lactating women and adolescent girls\n"
         "Vit K: 1 mg IM at birth for all neonates\n"
         "Zinc: Supplementation during acute diarrhoea in children"],
        ["Nutrition Education", "Promote exclusive breastfeeding for 6 months; correct complementary feeding from 6 months; balanced diet counselling"],
        ["Sanitation & Infection Control", "Breaking the malnutrition-infection cycle; ORS use, vaccination"],
        ["Antenatal Care", "Periconceptional folate; iron supplementation; correction of anaemia in pregnancy"],
        ["Growth Monitoring", "Regular weighing of children; maintenance of growth charts; Road-to-Health card"],
        ["Legislation", "Prevention of Food Adulteration Act; Food Safety and Standards Authority of India (FSSAI) regulations"],
    ]
    story.append(make_table(prev_headers, prev_rows, S, col_widths=[4.5, 11.5]))
    story.append(spacer(5))

    story.append(h2("Prevention of PEM — FAO/WHO Recommendations", S))
    story.append(h3("(a) Health Promotion", S))
    for item in ["Measures directed to pregnant and lactating women (education, supplement distribution)",
                 "Promotion of exclusive breastfeeding for the first 6 months",
                 "Development of low-cost weaning foods; frequent small feeds",
                 "Measures to improve overall family diet",
                 "Nutrition education — promotion of correct feeding practices",
                 "Family planning and spacing of births",
                 "Improvement of family environment and home economics"]:
        story.append(bullet(item, S))
    story.append(spacer(3))
    story.append(h3("(b) Specific Protection", S))
    for item in ["Timely diagnosis using growth charts, MUAC, Z-scores",
                 "Community-based management of SAM with ready-to-use therapeutic foods (RUTF)",
                 "Hospital-based management for SAM with complications",
                 "Government nutrition programmes: ICDS (Integrated Child Development Services), Mid-Day Meal Scheme"]:
        story.append(bullet(item, S))
    story.append(spacer(4))
    story.append(note("Sources: Park's Textbook of Preventive & Social Medicine 26e, p. 737–738; "
                      "Robbins & Cotran Pathology 10e; Harrison's Principles of Internal Medicine 22e (2025, McGraw-Hill)", S))

    return story


# ── MAIN ──────────────────────────────────────────────────────────────────────
def main():
    S = build_styles()

    doc = SimpleDocTemplate(
        OUTPUT_PATH,
        pagesize=A4,
        leftMargin=L_MARGIN,
        rightMargin=R_MARGIN,
        topMargin=T_MARGIN + 8*mm,
        bottomMargin=B_MARGIN + 8*mm,
        title="Nutritional Disorders — BAMS 2nd Prof",
        author="Orris Medical AI",
        subject="BAMS 2nd Professional Compilation",
    )

    story = build_content(S)
    doc.build(story, canvasmaker=NumberedCanvas)
    print(f"PDF generated: {OUTPUT_PATH}")


if __name__ == "__main__":
    main()

cd /home/daytona/workspace/nutritional-disorders && python3 generate_pdf.py 2>&1

~/nutritional-disorders/generate_pdf.py

Successfully replaced 1 instance(s) of the string in '/home/daytona/workspace/nutritional-disorders/generate_pdf.py'

cd /home/daytona/workspace/nutritional-disorders && python3 generate_pdf.py 2>&1

python3 -c " from pypdf import PdfReader r = PdfReader('/home/daytona/workspace/…