PQLI in a simplified way according to park in systematic way to write in exam

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PQLI physical quality of life index Park's textbook community medicine simplified

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Here is the complete, exam-ready write-up on PQLI as per Park's Textbook of Preventive and Social Medicine:

Physical Quality of Life Index (PQLI)

Definition / Introduction

Quality of life is difficult to define and even more difficult to measure.
Various attempts have been made to reach one composite index from a number of health indicators.
PQLI is one such composite index.
Developed by Morris D. Morris in 1979 for comparative study of 23 developing countries.

Components (3 Indicators)

PQLI consolidates three indicators:

#	Indicator
1	Infant Mortality Rate (IMR)
2	Life Expectancy at age 1 (not at birth)
3	Literacy rate (basic literacy)

Memory tip: "I L L" - IMR, Life expectancy at age 1, Literacy

Key Features of the Components

These three components measure results rather than inputs.
Therefore, they lend themselves to international and national comparison.

Scoring / Calculation

For each component, performance is placed on a scale of 0 to 100:
- 0 = absolutely defined worst performance
- 100 = absolutely defined best performance
The composite PQLI is calculated by averaging the three indicators, giving equal weight to each.
The resulting PQLI is also scaled 0 to 100.

Formula:

PQLI = (IMR score + Life Expectancy score + Literacy score) / 3

Important Points (Examiner Favourites)

GNP NOT included - PQLI has not taken per capita GNP into consideration, showing thereby that "money is not everything."
Classic example:
- Oil-rich Middle East countries have high per capita income but not very high PQLI.
- Sri Lanka and Kerala (India) have low per capita incomes but high PQLI.
PQLI does not measure economic growth - it measures the results of social, economic and political policies.
PQLI is intended to complement, not replace GNP.
Ultimate objective = to attain a PQLI of 100.

PQLI vs HDI (Quick Comparison for Exam)

Feature	PQLI	HDI
Developed by	Morris D. Morris (1979)	UNDP (1990)
Components	IMR, Life expectancy at age 1, Literacy	Life expectancy at birth, Education (mean + expected years of schooling), GNI per capita
GNP/Income included?	No	Yes
Scale	0 to 100	0 to 1
Calculation	Simple average	Geometric mean

One-Line Summary (for short answers)

PQLI is a composite index developed by Morris D. Morris (1979) that consolidates three indicators - infant mortality, life expectancy at age one, and literacy - each scored 0-100 and averaged equally, with the ultimate objective of attaining a PQLI of 100.

Source: Park's Textbook of Preventive and Social Medicine, Chapter 1

Create a summary PDF with PQLI formula and comparison with other indices

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Running Command

ls /home/daytona/workspace/ 2>/dev/null || echo "workspace not found"

Running Command

mkdir -p /home/daytona/workspace/pqli-summary && echo "done"

Writing File

~/pqli-summary/generate_pdf.py

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

OUTPUT = "/home/daytona/workspace/pqli-summary/PQLI_Summary.pdf"

doc = SimpleDocTemplate(
    OUTPUT,
    pagesize=A4,
    rightMargin=2*cm,
    leftMargin=2*cm,
    topMargin=2*cm,
    bottomMargin=2*cm,
    title="PQLI - Physical Quality of Life Index",
    author="Park's Textbook of Preventive & Social Medicine"
)

# ── Color palette ──────────────────────────────────────────────────────────────
NAVY      = colors.HexColor("#1a3a5c")
TEAL      = colors.HexColor("#1d7a8a")
LIGHT_BG  = colors.HexColor("#eaf4f7")
YELLOW_HL = colors.HexColor("#fff8e1")
ORANGE    = colors.HexColor("#e67e22")
GREEN     = colors.HexColor("#27ae60")
RED_SOFT  = colors.HexColor("#c0392b")
GREY_BG   = colors.HexColor("#f4f4f4")
WHITE     = colors.white
DARK_TEXT = colors.HexColor("#1a1a1a")

styles = getSampleStyleSheet()

# Custom styles
title_style = ParagraphStyle(
    "MainTitle",
    fontName="Helvetica-Bold",
    fontSize=22,
    textColor=WHITE,
    alignment=TA_CENTER,
    spaceAfter=4,
    leading=28,
)
subtitle_style = ParagraphStyle(
    "SubTitle",
    fontName="Helvetica",
    fontSize=11,
    textColor=colors.HexColor("#cde8f0"),
    alignment=TA_CENTER,
    spaceAfter=2,
)
section_heading = ParagraphStyle(
    "SectionHeading",
    fontName="Helvetica-Bold",
    fontSize=13,
    textColor=WHITE,
    spaceBefore=8,
    spaceAfter=4,
    leftIndent=0,
    leading=18,
)
body_text = ParagraphStyle(
    "BodyText",
    fontName="Helvetica",
    fontSize=10,
    textColor=DARK_TEXT,
    spaceAfter=4,
    leading=15,
    alignment=TA_JUSTIFY,
)
bullet_style = ParagraphStyle(
    "Bullet",
    fontName="Helvetica",
    fontSize=10,
    textColor=DARK_TEXT,
    spaceAfter=3,
    leading=14,
    leftIndent=14,
    bulletIndent=4,
)
bold_label = ParagraphStyle(
    "BoldLabel",
    fontName="Helvetica-Bold",
    fontSize=10,
    textColor=NAVY,
    spaceAfter=2,
    leading=14,
)
note_style = ParagraphStyle(
    "Note",
    fontName="Helvetica-Oblique",
    fontSize=9,
    textColor=colors.HexColor("#555555"),
    spaceAfter=2,
    leading=13,
    alignment=TA_CENTER,
)
formula_style = ParagraphStyle(
    "Formula",
    fontName="Helvetica-Bold",
    fontSize=13,
    textColor=NAVY,
    alignment=TA_CENTER,
    spaceAfter=4,
    leading=20,
)
footer_style = ParagraphStyle(
    "Footer",
    fontName="Helvetica-Oblique",
    fontSize=8,
    textColor=colors.HexColor("#888888"),
    alignment=TA_CENTER,
)

# ── Helper: section banner ─────────────────────────────────────────────────────
def section_banner(text, bg=NAVY):
    data = [[Paragraph(text, section_heading)]]
    t = Table(data, colWidths=[17*cm])
    t.setStyle(TableStyle([
        ("BACKGROUND", (0,0), (-1,-1), bg),
        ("TOPPADDING",    (0,0), (-1,-1), 7),
        ("BOTTOMPADDING", (0,0), (-1,-1), 7),
        ("LEFTPADDING",   (0,0), (-1,-1), 12),
        ("RIGHTPADDING",  (0,0), (-1,-1), 12),
        ("ROUNDEDCORNERS", [6, 6, 6, 6]),
    ]))
    return t

def highlight_box(text, bg=YELLOW_HL, text_color=NAVY):
    p = Paragraph(text, ParagraphStyle(
        "HlBox", fontName="Helvetica-Bold", fontSize=10,
        textColor=text_color, leading=15, alignment=TA_CENTER
    ))
    t = Table([[p]], colWidths=[17*cm])
    t.setStyle(TableStyle([
        ("BACKGROUND",    (0,0), (-1,-1), bg),
        ("TOPPADDING",    (0,0), (-1,-1), 8),
        ("BOTTOMPADDING", (0,0), (-1,-1), 8),
        ("LEFTPADDING",   (0,0), (-1,-1), 12),
        ("RIGHTPADDING",  (0,0), (-1,-1), 12),
        ("BOX",           (0,0), (-1,-1), 1.2, ORANGE),
    ]))
    return t

# ── Build story ────────────────────────────────────────────────────────────────
story = []

# ── TITLE BLOCK ────────────────────────────────────────────────────────────────
title_data = [[
    Paragraph("PQLI", title_style),
    ""
], [
    Paragraph("Physical Quality of Life Index", title_style),
    ""
], [
    Paragraph("Park's Textbook of Preventive & Social Medicine", subtitle_style),
    ""
], [
    Paragraph("Exam-Ready Summary | Community Medicine", subtitle_style),
    ""
]]
title_table = Table([[
    Paragraph("PQLI", title_style),
]], colWidths=[17*cm])
title_table.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,-1), NAVY),
    ("TOPPADDING",    (0,0), (-1,-1), 14),
    ("BOTTOMPADDING", (0,0), (-1,-1), 4),
    ("LEFTPADDING",   (0,0), (-1,-1), 10),
    ("RIGHTPADDING",  (0,0), (-1,-1), 10),
]))
story.append(title_table)

subtitle_table = Table([[
    Paragraph("Physical Quality of Life Index", ParagraphStyle(
        "ST2", fontName="Helvetica-Bold", fontSize=16, textColor=WHITE,
        alignment=TA_CENTER, leading=22
    )),
]], colWidths=[17*cm])
subtitle_table.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,-1), TEAL),
    ("TOPPADDING",    (0,0), (-1,-1), 6),
    ("BOTTOMPADDING", (0,0), (-1,-1), 4),
    ("LEFTPADDING",   (0,0), (-1,-1), 10),
    ("RIGHTPADDING",  (0,0), (-1,-1), 10),
]))
story.append(subtitle_table)

source_table = Table([[
    Paragraph("Park's Textbook of Preventive &amp; Social Medicine  |  Exam-Ready Summary", subtitle_style),
]], colWidths=[17*cm])
source_table.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,-1), colors.HexColor("#0f2940")),
    ("TOPPADDING",    (0,0), (-1,-1), 5),
    ("BOTTOMPADDING", (0,0), (-1,-1), 8),
    ("LEFTPADDING",   (0,0), (-1,-1), 10),
    ("RIGHTPADDING",  (0,0), (-1,-1), 10),
]))
story.append(source_table)
story.append(Spacer(1, 0.4*cm))

# ── 1. DEFINITION ──────────────────────────────────────────────────────────────
story.append(section_banner("1.  Definition &amp; Background"))
story.append(Spacer(1, 0.2*cm))
story.append(Paragraph(
    "PQLI is a <b>composite index</b> developed by <b>Morris D. Morris in 1979</b> to measure the "
    "<b>quality of life / well-being</b> of a country's population. It was designed specifically "
    "to compare 23 developing nations and to show that <i>\"money is not everything\"</i> when "
    "assessing human welfare.",
    body_text
))
story.append(Paragraph(
    "Quality of life is difficult to <b>define</b> and even more difficult to <b>measure</b>. "
    "PQLI is one attempt to provide a single, meaningful composite score from multiple health indicators.",
    body_text
))
story.append(Spacer(1, 0.3*cm))

# ── 2. COMPONENTS ─────────────────────────────────────────────────────────────
story.append(section_banner("2.  Three Components of PQLI", bg=TEAL))
story.append(Spacer(1, 0.2*cm))

comp_data = [
    [
        Paragraph("<b>#</b>", ParagraphStyle("TH", fontName="Helvetica-Bold", fontSize=10, textColor=WHITE, alignment=TA_CENTER)),
        Paragraph("<b>Indicator</b>", ParagraphStyle("TH", fontName="Helvetica-Bold", fontSize=10, textColor=WHITE, alignment=TA_CENTER)),
        Paragraph("<b>What it Measures</b>", ParagraphStyle("TH", fontName="Helvetica-Bold", fontSize=10, textColor=WHITE, alignment=TA_CENTER)),
    ],
    [
        Paragraph("1", body_text),
        Paragraph("<b>Infant Mortality Rate (IMR)</b>", body_text),
        Paragraph("Deaths of children under 1 year per 1000 live births", body_text),
    ],
    [
        Paragraph("2", body_text),
        Paragraph("<b>Life Expectancy at Age 1</b>", body_text),
        Paragraph("Expected years of life from age 1 (NOT from birth)", body_text),
    ],
    [
        Paragraph("3", body_text),
        Paragraph("<b>Basic Literacy Rate</b>", body_text),
        Paragraph("Proportion of population that can read &amp; write", body_text),
    ],
]
comp_table = Table(comp_data, colWidths=[1.5*cm, 7*cm, 8.5*cm])
comp_table.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,0), NAVY),
    ("BACKGROUND",    (0,1), (-1,1), LIGHT_BG),
    ("BACKGROUND",    (0,2), (-1,2), WHITE),
    ("BACKGROUND",    (0,3), (-1,3), LIGHT_BG),
    ("TEXTCOLOR",     (0,0), (-1,0), WHITE),
    ("ALIGN",         (0,0), (0,-1), "CENTER"),
    ("VALIGN",        (0,0), (-1,-1), "MIDDLE"),
    ("TOPPADDING",    (0,0), (-1,-1), 6),
    ("BOTTOMPADDING", (0,0), (-1,-1), 6),
    ("LEFTPADDING",   (0,0), (-1,-1), 8),
    ("RIGHTPADDING",  (0,0), (-1,-1), 8),
    ("GRID",          (0,0), (-1,-1), 0.5, colors.HexColor("#cccccc")),
    ("BOX",           (0,0), (-1,-1), 1,   TEAL),
]))
story.append(comp_table)
story.append(Spacer(1, 0.2*cm))
story.append(highlight_box(
    "Memory Aid:  I - L - L     (IMR  |  Life expectancy at age 1  |  Literacy)",
    bg=colors.HexColor("#e8f8f5"), text_color=GREEN
))
story.append(Paragraph(
    "Note: These three components measure <b>results</b> rather than <b>inputs</b>, "
    "making them suitable for international and national comparison.",
    ParagraphStyle("Note2", fontName="Helvetica-Oblique", fontSize=9,
                   textColor=colors.HexColor("#555"), leading=13, spaceAfter=6)
))
story.append(Spacer(1, 0.3*cm))

# ── 3. SCORING & FORMULA ──────────────────────────────────────────────────────
story.append(section_banner("3.  Scoring System &amp; Formula", bg=colors.HexColor("#6c3483")))
story.append(Spacer(1, 0.2*cm))

story.append(Paragraph("<b>Scoring each component:</b>", bold_label))
scoring_data = [
    [
        Paragraph("<b>Score</b>", ParagraphStyle("TH", fontName="Helvetica-Bold", fontSize=10, textColor=WHITE, alignment=TA_CENTER)),
        Paragraph("<b>Meaning</b>", ParagraphStyle("TH", fontName="Helvetica-Bold", fontSize=10, textColor=WHITE, alignment=TA_CENTER)),
    ],
    [Paragraph("<b>0</b>", ParagraphStyle("S", fontName="Helvetica-Bold", fontSize=11, textColor=RED_SOFT, alignment=TA_CENTER)),
     Paragraph("Absolutely defined <b>WORST</b> performance", body_text)],
    [Paragraph("<b>100</b>", ParagraphStyle("S", fontName="Helvetica-Bold", fontSize=11, textColor=GREEN, alignment=TA_CENTER)),
     Paragraph("Absolutely defined <b>BEST</b> performance", body_text)],
]
scoring_t = Table(scoring_data, colWidths=[3*cm, 14*cm])
scoring_t.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,0), colors.HexColor("#6c3483")),
    ("BACKGROUND",    (0,1), (-1,1), colors.HexColor("#fde8e8")),
    ("BACKGROUND",    (0,2), (-1,2), colors.HexColor("#e8fde8")),
    ("ALIGN",         (0,0), (0,-1), "CENTER"),
    ("VALIGN",        (0,0), (-1,-1), "MIDDLE"),
    ("TOPPADDING",    (0,0), (-1,-1), 6),
    ("BOTTOMPADDING", (0,0), (-1,-1), 6),
    ("LEFTPADDING",   (0,0), (-1,-1), 8),
    ("RIGHTPADDING",  (0,0), (-1,-1), 8),
    ("GRID",          (0,0), (-1,-1), 0.5, colors.HexColor("#cccccc")),
    ("BOX",           (0,0), (-1,-1), 1,   colors.HexColor("#6c3483")),
]))
story.append(scoring_t)
story.append(Spacer(1, 0.3*cm))

# Formula box
formula_bg = colors.HexColor("#fff3cd")
formula_data = [[
    Paragraph(
        "PQLI  =  (IMR Score  +  Life Expectancy Score  +  Literacy Score)  ÷  3",
        formula_style
    )
]]
formula_table = Table(formula_data, colWidths=[17*cm])
formula_table.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,-1), formula_bg),
    ("TOPPADDING",    (0,0), (-1,-1), 12),
    ("BOTTOMPADDING", (0,0), (-1,-1), 12),
    ("LEFTPADDING",   (0,0), (-1,-1), 10),
    ("RIGHTPADDING",  (0,0), (-1,-1), 10),
    ("BOX",           (0,0), (-1,-1), 2,   ORANGE),
]))
story.append(formula_table)
story.append(Spacer(1, 0.15*cm))
story.append(Paragraph(
    "Equal weight is given to each indicator. The resulting PQLI is also scaled 0 to 100.",
    note_style
))
story.append(Paragraph(
    "<b>Ultimate objective:</b> To attain a PQLI of <b>100</b>.",
    ParagraphStyle("Goal", fontName="Helvetica-Bold", fontSize=10,
                   textColor=RED_SOFT, alignment=TA_CENTER, spaceAfter=6)
))
story.append(Spacer(1, 0.3*cm))

# ── 4. KEY POINTS ─────────────────────────────────────────────────────────────
story.append(section_banner("4.  Key / Examiner-Favourite Points", bg=colors.HexColor("#1e8449")))
story.append(Spacer(1, 0.2*cm))

key_points = [
    ("<b>GNP excluded</b>", "PQLI does NOT include per capita GNP, showing that <i>\"money is not everything.\"</i>"),
    ("<b>Classic example</b>", "Oil-rich <b>Middle East countries</b> have high per capita income but NOT very high PQLI."),
    ("<b>Classic counter-example</b>", "<b>Sri Lanka</b> and <b>Kerala (India)</b> have low per capita incomes but <b>high PQLI</b> - showing social development matters more."),
    ("<b>What PQLI measures</b>", "It measures <b>results of social, economic &amp; political policies</b>, NOT economic growth."),
    ("<b>Relationship with GNP</b>", "PQLI is intended to <b>complement, not replace</b> GNP."),
    ("<b>Result-based</b>", "Components measure <b>results</b> rather than inputs - suitable for international comparison."),
]
for label, text in key_points:
    row_data = [[
        Paragraph(label, ParagraphStyle("KL", fontName="Helvetica-Bold", fontSize=10,
                                         textColor=WHITE, leading=14)),
        Paragraph(text, ParagraphStyle("KT", fontName="Helvetica", fontSize=10,
                                        textColor=DARK_TEXT, leading=14)),
    ]]
    row_t = Table(row_data, colWidths=[4.5*cm, 12.5*cm])
    row_t.setStyle(TableStyle([
        ("BACKGROUND",    (0,0), (0,0), colors.HexColor("#1e8449")),
        ("BACKGROUND",    (1,0), (1,0), GREY_BG),
        ("TOPPADDING",    (0,0), (-1,-1), 6),
        ("BOTTOMPADDING", (0,0), (-1,-1), 6),
        ("LEFTPADDING",   (0,0), (-1,-1), 8),
        ("RIGHTPADDING",  (0,0), (-1,-1), 8),
        ("VALIGN",        (0,0), (-1,-1), "MIDDLE"),
        ("BOX",           (0,0), (-1,-1), 0.5, colors.HexColor("#bbbbbb")),
    ]))
    story.append(row_t)
    story.append(Spacer(1, 0.1*cm))

story.append(Spacer(1, 0.3*cm))

# ── 5. COMPARISON TABLE ───────────────────────────────────────────────────────
story.append(section_banner("5.  Comparison: PQLI vs HDI vs GNP / Per Capita Income"))
story.append(Spacer(1, 0.2*cm))

cmp_headers = ["Feature", "PQLI", "HDI", "GNP / Per Capita Income"]
cmp_rows = [
    ["Developed by",      "Morris D. Morris\n(1979)",       "UNDP\n(1990, Mahbub ul Haq)",  "National Accounts"],
    ["Components",        "IMR, Life expectancy at age 1, Basic literacy",
                          "Life expectancy at birth,\nEducation (mean + expected years of schooling),\nGNI per capita (PPP USD)",
                          "Total national income\n÷ population"],
    ["Income included?",  "NO",                             "YES (GNI per capita)",         "YES - primary measure"],
    ["Scale",             "0 to 100",                       "0 to 1",                        "Currency (USD, INR, etc.)"],
    ["Calculation",       "Simple average of 3 indicators", "Geometric mean of\n3 dimension indices", "GDP or GNP ÷ population"],
    ["Measures",          "Results of social &\npolitical policies",
                          "Multi-dimensional\nhuman development",
                          "Economic output only"],
    ["Limitation",        "Ignores income,\nhousing, political rights",
                          "Ignores inequality,\npoverty within country",
                          "Ignores health, education,\nquality of life"],
    ["Classic\nexample",  "Kerala (low income,\nhigh PQLI)",
                          "Norway - consistently\ntop HDI",
                          "Middle East (high income,\nlower quality of life)"],
]

def make_cell(txt, is_header=False, align=TA_CENTER):
    style = ParagraphStyle(
        "CT",
        fontName="Helvetica-Bold" if is_header else "Helvetica",
        fontSize=9,
        textColor=WHITE if is_header else DARK_TEXT,
        alignment=align,
        leading=12,
    )
    return Paragraph(txt, style)

cmp_data = [[make_cell(h, is_header=True) for h in cmp_headers]]
for i, row in enumerate(cmp_rows):
    cmp_data.append([make_cell(row[0], is_header=True, align=TA_LEFT)] +
                    [make_cell(c) for c in row[1:]])

cmp_t = Table(cmp_data, colWidths=[3.5*cm, 4.2*cm, 5.3*cm, 4*cm], repeatRows=1)
cmp_style = [
    ("BACKGROUND",    (0,0), (-1,0), NAVY),
    ("TEXTCOLOR",     (0,0), (-1,0), WHITE),
    ("BACKGROUND",    (0,1), (0,-1), colors.HexColor("#2c5f8a")),
    ("TEXTCOLOR",     (0,1), (0,-1), WHITE),
    ("TOPPADDING",    (0,0), (-1,-1), 5),
    ("BOTTOMPADDING", (0,0), (-1,-1), 5),
    ("LEFTPADDING",   (0,0), (-1,-1), 6),
    ("RIGHTPADDING",  (0,0), (-1,-1), 6),
    ("VALIGN",        (0,0), (-1,-1), "MIDDLE"),
    ("GRID",          (0,0), (-1,-1), 0.4, colors.HexColor("#aaaaaa")),
    ("BOX",           (0,0), (-1,-1), 1.2, NAVY),
    # Alternating row colours
    *[("BACKGROUND", (1, r), (-1, r), LIGHT_BG if r % 2 == 0 else WHITE)
      for r in range(1, len(cmp_data))],
    # PQLI column highlight
    ("BACKGROUND", (1,1), (1,-1), colors.HexColor("#d6eaf8")),
]
cmp_t.setStyle(TableStyle(cmp_style))
story.append(cmp_t)
story.append(Spacer(1, 0.3*cm))

# ── 6. QUICK REVISION BOX ─────────────────────────────────────────────────────
story.append(section_banner("6.  Quick Revision - One-Liners for Exam", bg=ORANGE))
story.append(Spacer(1, 0.15*cm))

one_liners = [
    "PQLI = IMR + Life expectancy at age 1 + Literacy (each scored 0-100, averaged equally).",
    "Developed by Morris D. Morris, 1979, for 23 developing countries.",
    "Measures <b>results</b> of policies, not economic inputs like GNP.",
    "Middle East: high GNP, lower PQLI.  Kerala/Sri Lanka: low GNP, high PQLI.",
    "PQLI complements GNP - does not replace it.",
    "Ultimate goal: PQLI score of 100.",
    "HDI scale is 0-1; PQLI scale is 0-100.",
    "HDI uses life expectancy at <b>birth</b>; PQLI uses life expectancy at <b>age 1</b>.",
]
for ol in one_liners:
    story.append(Paragraph(
        f"&#10148; &nbsp; {ol}",
        ParagraphStyle("OL", fontName="Helvetica", fontSize=10,
                       textColor=DARK_TEXT, leading=15, spaceAfter=3,
                       leftIndent=10)
    ))

story.append(Spacer(1, 0.4*cm))

# ── FOOTER ────────────────────────────────────────────────────────────────────
story.append(HRFlowable(width="100%", thickness=1, color=TEAL))
story.append(Spacer(1, 0.15*cm))
story.append(Paragraph(
    "Source: Park's Textbook of Preventive and Social Medicine  |  Community Medicine Summary  |  Orris AI",
    footer_style
))

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

Running Command

cd /home/daytona/workspace/pqli-summary && python generate_pdf.py 2>&1

Running Command

ls -lh /home/daytona/workspace/pqli-summary/PQLI_Summary.pdf

Your PDF is ready! Here's what's included:

PQLI Summary

PDF Document · PDF

The PDF contains 6 structured sections with color-coded formatting:

Section	Content
1. Definition & Background	Morris D. Morris (1979), purpose, origin
2. Three Components	IMR, Life Expectancy at age 1, Literacy - with memory aid "I-L-L"
3. Scoring & Formula	0-100 scale, formula box, ultimate goal = 100
4. Key / Examiner Points	GNP excluded, Kerala/Sri Lanka example, Middle East counter-example
5. Comparison Table	PQLI vs HDI vs GNP/Per Capita Income (side-by-side, 8 features)
6. Quick Revision One-Liners	8 bullet points for last-minute revision

Key exam-differentiators highlighted in the PDF:

HDI uses life expectancy at birth; PQLI uses life expectancy at age 1
HDI scale = 0 to 1; PQLI scale = 0 to 100
HDI includes GNI per capita; PQLI deliberately excludes income

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