from reportlab.lib.pagesizes import A4
from reportlab.lib import colors
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.units import cm
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 ListFlowable, ListItem

OUTPUT = "/home/daytona/workspace/repertory-notes/Need_for_Repertory_Notes.pdf"

doc = SimpleDocTemplate(
    OUTPUT,
    pagesize=A4,
    leftMargin=2*cm, rightMargin=2*cm,
    topMargin=2*cm, bottomMargin=2*cm
)

styles = getSampleStyleSheet()

# Custom styles
title_style = ParagraphStyle(
    'Title', parent=styles['Title'],
    fontSize=18, textColor=colors.HexColor('#1a3a5c'),
    spaceAfter=4, alignment=TA_CENTER, fontName='Helvetica-Bold'
)
subtitle_style = ParagraphStyle(
    'Subtitle', parent=styles['Normal'],
    fontSize=10, textColor=colors.HexColor('#5a5a5a'),
    spaceAfter=10, alignment=TA_CENTER, fontName='Helvetica-Oblique'
)
section_style = ParagraphStyle(
    'Section', parent=styles['Heading2'],
    fontSize=11, textColor=colors.white,
    backColor=colors.HexColor('#1a3a5c'),
    spaceBefore=10, spaceAfter=4,
    leftIndent=-6, rightIndent=-6,
    fontName='Helvetica-Bold',
    borderPadding=(4, 6, 4, 6)
)
body_style = ParagraphStyle(
    'Body', parent=styles['Normal'],
    fontSize=9.5, leading=14,
    textColor=colors.HexColor('#2b2b2b'),
    spaceAfter=3, fontName='Helvetica'
)
bullet_style = ParagraphStyle(
    'Bullet', parent=styles['Normal'],
    fontSize=9.5, leading=14,
    textColor=colors.HexColor('#2b2b2b'),
    leftIndent=14, spaceAfter=3,
    bulletIndent=4, fontName='Helvetica'
)
quote_style = ParagraphStyle(
    'Quote', parent=styles['Normal'],
    fontSize=9, leading=13,
    textColor=colors.HexColor('#444444'),
    leftIndent=20, rightIndent=20,
    fontName='Helvetica-Oblique',
    backColor=colors.HexColor('#f0f4f8'),
    borderPadding=(6, 8, 6, 8),
    spaceAfter=6
)
key_style = ParagraphStyle(
    'Key', parent=styles['Normal'],
    fontSize=10, leading=14,
    textColor=colors.HexColor('#1a3a5c'),
    fontName='Helvetica-Bold',
    spaceAfter=3
)
footer_style = ParagraphStyle(
    'Footer', parent=styles['Normal'],
    fontSize=8.5, leading=12,
    textColor=colors.HexColor('#666666'),
    alignment=TA_CENTER, fontName='Helvetica-Oblique'
)

def section(text):
    return Paragraph(f"  {text}", section_style)

def bullet(text):
    return Paragraph(f"<bullet>\u2022</bullet> {text}", bullet_style)

def body(text):
    return Paragraph(text, body_style)

def quote(text):
    return Paragraph(text, quote_style)

def sp(h=6):
    return Spacer(1, h)

def hr():
    return HRFlowable(width="100%", thickness=0.5, color=colors.HexColor('#cccccc'), spaceAfter=4, spaceBefore=4)

# ---- Build content ----
story = []

# Title block
story.append(sp(4))
story.append(Paragraph("NEED FOR A REPERTORY", title_style))
story.append(Paragraph("Repertorization: Principles and Practice | Chapter 1.4", subtitle_style))
story.append(HRFlowable(width="100%", thickness=2, color=colors.HexColor('#1a3a5c'), spaceAfter=10))

# ---- SECTION 1 ----
story.append(section("1. BASIS OF HOMOEOPATHIC PRESCRIBING"))
story.append(sp(4))
story.append(bullet("Medicines prescribed on <b>Law of Similars</b>"))
story.append(bullet("Physician establishes similarity between <b>natural disease</b> and <b>artificial disease</b> (drug picture)"))
story.append(bullet("Evolution of <b>dynamic theory</b> accelerated qualitative study of drugs and patients"))
story.append(bullet("<b>Potentization:</b> quantity of medicine decreased, but qualitative value increased"))
story.append(bullet("Provers recorded a <b>maze of mental and physical symptoms</b> - useful for chronic, acute and constitutional therapy"))

story.append(sp(6))

# ---- SECTION 2 ----
story.append(section("2. WHY REPERTORY BECAME NECESSARY"))
story.append(sp(4))
story.append(bullet("Finding the <b>Simillimum</b> from many similars became <b>confusing</b> for practitioners"))
story.append(bullet("Homoeopathic Materia Medica = <b>like an ocean</b> - multitudinous symptoms of drugs"))
story.append(bullet("Referring to all similar drugs for each disease = <b>time-consuming and confusing</b>"))
story.append(bullet("Need felt for a <b>working manual</b> to ease the task of finding a specific drug"))
story.append(bullet("Need felt as early as <b>Hahnemann's era</b>; stalwarts found it difficult to practice without it"))
story.append(bullet("Any subject that is vast and contains <b>enormous facts needs indexing</b> - same for Materia Medica"))

story.append(sp(6))

# ---- SECTION 3 ----
story.append(section("3. DEFINITION & CONCEPT OF REPERTORY"))
story.append(sp(4))
story.append(bullet("<b>Repertory = Index to the Materia Medica</b> (Dr. Douglas Borland)"))
story.append(bullet("MM symptoms grouped by mental/physical or by organ/system → Repertory arranged on the <b>same plan</b>"))
story.append(bullet("Arriving at Simillimum = applying <b>logic</b> - index the ever-enlarging MM, then apply it clinically"))
story.append(sp(4))
story.append(quote('"The repertory is an outcome of the character of homoeopathy itself — an outcome of the logical human mind."'))

story.append(sp(6))

# ---- SECTION 4: Flow Diagram ----
story.append(section("4. CONCEPTUAL FLOW TO SIMILLIMUM"))
story.append(sp(4))

flow_data = [
    ["PERSON + NATURAL DISEASE"],
    ["↓   Law of Similars   ↓"],
    ["Homoeopathic Materia Medica (Symptoms)"],
    ["↓   REPERTORIZATION   ↓"],
    ["SIMILLIMUM  ←→  Artificial Disease"],
]
flow_table = Table(flow_data, colWidths=[14*cm])
flow_table.setStyle(TableStyle([
    ('BACKGROUND', (0,0), (-1,0), colors.HexColor('#dce8f5')),
    ('BACKGROUND', (0,2), (-1,2), colors.HexColor('#dce8f5')),
    ('BACKGROUND', (0,4), (-1,4), colors.HexColor('#1a3a5c')),
    ('TEXTCOLOR', (0,4), (-1,4), colors.white),
    ('ALIGN', (0,0), (-1,-1), 'CENTER'),
    ('FONTNAME', (0,0), (-1,-1), 'Helvetica'),
    ('FONTNAME', (0,4), (-1,4), 'Helvetica-Bold'),
    ('FONTSIZE', (0,0), (-1,-1), 9.5),
    ('TOPPADDING', (0,0), (-1,-1), 5),
    ('BOTTOMPADDING', (0,0), (-1,-1), 5),
    ('BOX', (0,0), (-1,-1), 1, colors.HexColor('#1a3a5c')),
    ('INNERGRID', (0,0), (-1,-1), 0.5, colors.HexColor('#99b9d9')),
]))
story.append(flow_table)

story.append(sp(8))

# ---- SECTION 5: Growth Table ----
story.append(section("5. GROWTH OF HOMOEOPATHIC MATERIA MEDICA"))
story.append(sp(4))
story.append(body("The rapid expansion of Materia Medica makes a repertory indispensable:"))
story.append(sp(4))

table_data = [
    ["Year", "Number of Medicines"],
    ["1805", "27"],
    ["1921", "1600  (1300 proved)"],
    ["1955", "2000  (1500 proved)"],
    ["2001", "4200  (2277 well known)"],
    ["2004", "4497  (2393 well known)"],
    ["Recently", "More than 5000"],
]
t = Table(table_data, colWidths=[5*cm, 9*cm])
t.setStyle(TableStyle([
    ('BACKGROUND', (0,0), (-1,0), colors.HexColor('#1a3a5c')),
    ('TEXTCOLOR', (0,0), (-1,0), colors.white),
    ('FONTNAME', (0,0), (-1,0), 'Helvetica-Bold'),
    ('FONTNAME', (0,1), (-1,-1), 'Helvetica'),
    ('FONTSIZE', (0,0), (-1,-1), 9.5),
    ('ALIGN', (0,0), (-1,-1), 'CENTER'),
    ('ROWBACKGROUNDS', (0,1), (-1,-1), [colors.HexColor('#f7fafd'), colors.white]),
    ('BOX', (0,0), (-1,-1), 1, colors.HexColor('#1a3a5c')),
    ('INNERGRID', (0,0), (-1,-1), 0.5, colors.HexColor('#99b9d9')),
    ('TOPPADDING', (0,0), (-1,-1), 5),
    ('BOTTOMPADDING', (0,0), (-1,-1), 5),
    ('BACKGROUND', (0,6), (-1,6), colors.HexColor('#dce8f5')),
    ('FONTNAME', (0,6), (-1,6), 'Helvetica-Bold'),
]))
story.append(t)
story.append(sp(4))
story.append(body("<b>~5000 medicines</b>, each with vast symptomatology → Repertory becomes an <b>essential tool</b> in finding the indicated medicine."))

story.append(sp(8))

# ---- SECTION 6 ----
story.append(section("6. MISCONCEPTIONS & CORRECT VIEW"))
story.append(sp(4))
story.append(bullet("Some physicians complain repertory is <b>elaborate and time-consuming</b> - only those who rarely use it"))
story.append(bullet("Meaningful use = <b>useful + time-saving</b>"))
story.append(bullet("Students must <b>avoid shortcuts</b> - use repertory as a workable strategy, not a crutch"))
story.append(sp(4))
story.append(quote(
    '<b>J. Willis Hurst</b> (<i>Medicine for Practicing Physicians</i>): "The goal of a medical school should be to lead '
    'students to the realization that there is no short cut to learning... The student must realize the difference '
    'between rearrangement of facts and simple recall memorizing, thinking and to be able to use all three."'
))

story.append(sp(6))

# ---- SECTION 7 ----
story.append(section("7. KEY CONCLUSIONS & QUOTES"))
story.append(sp(4))
story.append(bullet("Repertory helps by: <b>rearranging facts → initiating thinking → promoting learning → better clinical results</b>"))
story.append(bullet("It is a <b>must for practitioners</b> and especially for <b>learners</b>"))
story.append(sp(4))
story.append(quote(
    '<b>Dr. P. Schmidt:</b> <i>"No one can know everything and that is why in all honesty one must admit that no '
    'conscientious homoeopathic doctor can practice homoeopathy in a serious and really scientific way"</i> — without a repertory.'
))

story.append(sp(8))
story.append(hr())

# Key Takeaway box
takeaway_data = [[
    Paragraph(
        "<b>KEY TAKEAWAY:</b> Materia Medica is ever-enlarging (5000+ drugs, increasing clinical experiences). "
        "To manage this vast data systematically and find the Simillimum efficiently — "
        "<b>a repertory is indispensable.</b>",
        ParagraphStyle('Take', parent=styles['Normal'], fontSize=9.5, leading=14,
                       textColor=colors.HexColor('#1a3a5c'), fontName='Helvetica')
    )
]]
tb = Table(takeaway_data, colWidths=[16*cm])
tb.setStyle(TableStyle([
    ('BACKGROUND', (0,0), (-1,-1), colors.HexColor('#eaf2fb')),
    ('BOX', (0,0), (-1,-1), 1.5, colors.HexColor('#1a3a5c')),
    ('TOPPADDING', (0,0), (-1,-1), 8),
    ('BOTTOMPADDING', (0,0), (-1,-1), 8),
    ('LEFTPADDING', (0,0), (-1,-1), 10),
    ('RIGHTPADDING', (0,0), (-1,-1), 10),
]))
story.append(tb)
story.append(sp(10))
story.append(Paragraph("Repertorization: Principles and Practice | Chapter 1.4 | Summary Notes", footer_style))

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

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

OUTPUT = "/home/daytona/workspace/repertory-notes/BBCR_vs_Kent_vs_BTPB_Comparison.pdf"

doc = SimpleDocTemplate(
    OUTPUT,
    pagesize=landscape(A4),
    leftMargin=1.5*cm, rightMargin=1.5*cm,
    topMargin=1.5*cm, bottomMargin=1.5*cm
)

styles = getSampleStyleSheet()

# ---- Style definitions ----
title_style = ParagraphStyle('T', parent=styles['Title'],
    fontSize=17, textColor=colors.HexColor('#1a3a5c'),
    spaceAfter=2, alignment=TA_CENTER, fontName='Helvetica-Bold')

subtitle_style = ParagraphStyle('Sub', parent=styles['Normal'],
    fontSize=9, textColor=colors.HexColor('#555555'),
    spaceAfter=10, alignment=TA_CENTER, fontName='Helvetica-Oblique')

cell_style = ParagraphStyle('Cell', parent=styles['Normal'],
    fontSize=8.2, leading=12, fontName='Helvetica',
    textColor=colors.HexColor('#1e1e1e'))

cell_bold = ParagraphStyle('CellB', parent=styles['Normal'],
    fontSize=8.2, leading=12, fontName='Helvetica-Bold',
    textColor=colors.HexColor('#1a3a5c'))

cell_head = ParagraphStyle('CellH', parent=styles['Normal'],
    fontSize=9, leading=13, fontName='Helvetica-Bold',
    textColor=colors.white, alignment=TA_CENTER)

sec_style = ParagraphStyle('Sec', parent=styles['Normal'],
    fontSize=9.5, leading=13, fontName='Helvetica-Bold',
    textColor=colors.white, alignment=TA_CENTER)

footer_style = ParagraphStyle('Ft', parent=styles['Normal'],
    fontSize=7.5, textColor=colors.HexColor('#888888'),
    alignment=TA_CENTER, fontName='Helvetica-Oblique')

# ---- Color palette ----
C_DARK   = colors.HexColor('#1a3a5c')   # navy - section headers
C_KENT   = colors.HexColor('#1565C0')   # deep blue - Kent column header
C_BTPB   = colors.HexColor('#2E7D32')   # deep green - BTPB column header
C_BBCR   = colors.HexColor('#6A1B9A')   # deep purple - BBCR column header
C_ROWALT = colors.HexColor('#f4f7fb')   # light blue-grey alternate row
C_WHITE  = colors.white
C_SEC_BG = colors.HexColor('#263238')   # dark slate - section divider rows
C_KENT_L = colors.HexColor('#E3F2FD')   # light Kent
C_BTPB_L = colors.HexColor('#E8F5E9')   # light BTPB
C_BBCR_L = colors.HexColor('#F3E5F5')   # light BBCR
C_TICK   = colors.HexColor('#2E7D32')
C_CROSS  = colors.HexColor('#C62828')

def p(text, style=None):
    if style is None:
        style = cell_style
    return Paragraph(text, style)

def ph(text):
    return Paragraph(text, cell_head)

def pb(text):
    return Paragraph(text, cell_bold)

def tick():
    return Paragraph('<font color="#2E7D32"><b>✔</b></font>', cell_style)

def cross():
    return Paragraph('<font color="#C62828"><b>✘</b></font>', cell_style)

def partial():
    return Paragraph('<font color="#E65100"><b>~</b></font>', cell_style)

def sec_row(text):
    """Returns a section-divider row spanning all 4 columns."""
    return [Paragraph(f'  {text}', ParagraphStyle('SR', parent=styles['Normal'],
        fontSize=9, leading=12, fontName='Helvetica-Bold', textColor=colors.white))]

# ---- Column widths ----
# Feature | Kent | BTPB | BBCR
W = [6.8*cm, 8.3*cm, 8.3*cm, 8.3*cm]

# ---- Table data ----
# Format: [feature, kent, btpb, bbcr]
# Section headers are single-cell spanning rows marked with "SEC:"

data = []

# ===== HEADER ROW =====
data.append([
    ph('PARAMETER'),
    ph("KENT'S REPERTORY"),
    ph("BTPB\n(Boenninghausen's Therapeutic Pocket Book)"),
    ph("BBCR\n(Boger Boenninghausen's Characteristics & Repertory)"),
])

# ===== SECTION 1: IDENTIFICATION =====
data.append(["SEC: 1. IDENTIFICATION & ORIGIN"])
data.append([
    p('Author'),
    p('Dr. James Tyler Kent (1849-1916)\nAmerican homoeopath'),
    p('Dr. C.M.F. von Boenninghausen (1785-1864)\nDutch-German homoeopath'),
    p('Dr. Cyrus Maxwell Boger (1861-1935)\nAmerican homoeopath'),
])
data.append([
    p('Year Published'),
    pb('1897'),
    pb('1846'),
    pb('1905'),
])
data.append([
    p('Published By'),
    p('Ehrhart & Karl, Chicago'),
    p('Boenninghausen himself'),
    p('Boericke & Tafel'),
])
data.append([
    p('Based On'),
    p('Kent\'s own drug provings &\nmateria medica studies'),
    p('Boenninghausen\'s Repertory of\nAntipsoric Medicines (1832)'),
    p('BTPB + Boenninghausen\'s\nSystematic Alphabetical Repertory\n+ Boger\'s clinical experience'),
])
data.append([
    p('Country of Origin'),
    p('USA'),
    p('Germany/Netherlands'),
    p('USA'),
])

# ===== SECTION 2: PHILOSOPHY =====
data.append(["SEC: 2. PHILOSOPHICAL BASIS"])
data.append([
    p('Core Philosophy'),
    p('Individualization based on\nmentals & generals.\nTop-down (mind → generals\n→ particulars)'),
    p('Complete symptom theory.\nModalities & concomitants\nare the key to simillimum'),
    p('Complete symptom +\nPathological generals.\nCombines generalization\n& particularization'),
])
data.append([
    p('Totality Concept'),
    p('Characteristic totality:\nMind > Physical generals\n> Particulars\n(Kentian hierarchy)'),
    p('Complete symptom totality:\nLocation + Sensation +\nModality + Concomitant'),
    p('Boger\'s totality:\nPathological generals +\nModalities + Concomitants\n+ Causation + Time'),
])
data.append([
    p('Concept of Miasm'),
    p('Strongly incorporated\n(psora, sycosis, syphilis\ninfluence case analysis)'),
    p('Based on anti-psoric\nthinking (origin from\nRepertory of Antipsorics)'),
    p('Anti-psoric basis inherited.\nPathological generals\nreflect miasmatic background'),
])
data.append([
    p('Emphasis'),
    p('Mental symptoms &\nconstitutional generals\ngiven highest priority'),
    p('Modalities and\nconcomitants - considered\nmost characteristic'),
    p('Modalities, concomitants\n& pathological generals\nequally emphasized'),
])

# ===== SECTION 3: STRUCTURE =====
data.append(["SEC: 3. STRUCTURE & ARRANGEMENT"])
data.append([
    p('No. of Chapters/Sections'),
    pb('~37 chapters'),
    pb('7 sections\n(compact)'),
    pb('~53 chapters'),
])
data.append([
    p('No. of Medicines'),
    pb('~650+'),
    pb('~300 (limited)'),
    pb('~464'),
])
data.append([
    p('No. of Rubrics'),
    pb('~68,000+'),
    pb('Compact - fewer rubrics'),
    pb('Moderate - expanded from BTPB'),
])
data.append([
    p('Arrangement Style'),
    p('Anatomical / regional:\nMind → Head → Eyes\n→ Ears → Face... downward\n(head to foot)'),
    p('7 broad sections:\nMind, Body parts, Sensations,\nSleep, Fever, Aggravations,\nRelationships - in one volume'),
    p('Follows Boenninghausen\'s\n7-section plan but expands\neach location into a\nseparate chapter (~53 total)'),
])
data.append([
    p('Rubric Style'),
    p('Specific & complete-as-given.\nLocation + Sensation +\nModality all combined in\none single rubric'),
    p('Generalized.\nLocation, sensation,\nmodality kept SEPARATE.\nRecombined during repertorization'),
    p('Both: main rubrics with\nsub-rubrics for particularization.\nGeneral & particular\nmodalities are differentiated'),
])
data.append([
    p('Chapter Arrangement\n(Location Chapters)'),
    p('Main location rubrics\narranged alphabetically\nunder each chapter'),
    p('Location is one chapter.\nTime, Agg, Amel, Concomitants\nnot systematically separated'),
    p('Each location chapter has:\nMain rubrics → Sub-locations\n→ Time → Agg → Amel\n→ Concomitants → X-ref'),
])

# ===== SECTION 4: GRADATION =====
data.append(["SEC: 4. GRADATION OF REMEDIES"])
data.append([
    p('Number of Grades'),
    pb('3 grades'),
    pb('4 degrees'),
    pb('5 grades (most refined)'),
])
data.append([
    p('Grading System'),
    p('BOLD (3rd degree)\nItalics (2nd degree)\nPlain Roman (1st degree)'),
    p('Degree 4 - highest\nDegree 3\nDegree 2\nDegree 1 - lowest'),
    p('CAPITALS (highest)\nBold\nItalics\nRoman (plain)\n(Parenthesis) - lowest'),
])
data.append([
    p('Basis of Grading'),
    p('Symptom intensity in\nproving + clinical\nconfirmation'),
    p('Frequency & intensity of\nsymptom occurrence\nin provings'),
    p('Proving + clinical\nconfirmation + Boger\'s\npersonal clinical experience'),
])

# ===== SECTION 5: SPECIAL FEATURES =====
data.append(["SEC: 5. SPECIAL / UNIQUE FEATURES"])
data.append([
    p('Fever Section'),
    p('Basic - fever rubrics\nscattered within\nchapters'),
    p('Separate fever chapter\nwith chill, heat, sweat'),
    pb('MOST ELABORATE.\n5 fever chapters:\nPathological types, Blood,\nHeat in general, Chill,\nSweat - treated as\nintegrated whole'),
])
data.append([
    p('Concordances\n(Remedy Relationships)'),
    cross(),
    cross(),
    tick(),
])
data.append([
    p('Pathological Generals'),
    cross(),
    partial(),
    tick(),
])
data.append([
    p('Concomitants'),
    partial(),
    tick(),
    tick(),
])
data.append([
    p('Causation Rubrics'),
    p('Present (under Mind\n& Generals)'),
    p('Present (as separate\nmodality section)'),
    pb('Strongly emphasized.\nDoctrine of Causation\nis a core concept'),
])
data.append([
    p('Time Modalities'),
    p('Present throughout\nchapters'),
    p('Prominent - separate\ntime sections in chapters'),
    p('Elaborate - Time sub-chapters\nwithin each location +\nGeneral time chapter'),
])
data.append([
    p('Cross-References'),
    partial(),
    partial(),
    tick(),
])
data.append([
    p('Clinical Rubrics'),
    p('Minimal (mostly\nproving-based)'),
    p('Minimal'),
    pb('YES - clinical rubrics\nadded from practice'),
])
data.append([
    p('Mind Chapter'),
    p('Very elaborate &\ndetailed - largest\nsection of repertory'),
    p('Basic mind rubrics\nin "Mind & Intellect"\nsection'),
    p('Contains mind rubrics\nNOT found in Kent\'s\nrepertory'),
])

# ===== SECTION 6: REPERTORIZATION =====
data.append(["SEC: 6. METHOD OF REPERTORIZATION"])
data.append([
    p('Approach'),
    p('Deductive / top-down.\nStart with mind/generals,\nrefine with particulars'),
    p('Analytical / synthetic.\nElements separated then\nrecombined logically'),
    p('Analytical + clinical.\nPathological generals +\nComplete symptom elements\ncombined'),
])
data.append([
    p('Symptom Selection\nPriority'),
    p('1. Mind symptoms\n2. Physical generals\n3. Particulars (last)'),
    p('1. Modalities (especially\nconcomitants & time)\n2. Sensations\n3. Locations'),
    p('1. Pathological generals\n2. Causation & time\n3. Modalities & concomitants\n4. Particulars'),
])
data.append([
    p('Suitable Repertorization\nMethod'),
    p('Totality of symptoms\n(Kentian method)\nCard / computer / manual'),
    p('Synthetic method\n(Boenninghausen method).\nRecombine elements\nfrom different chapters'),
    p('Boger\'s method:\nPathological generals first,\nthen complete symptom.\nGood for both acute\n& chronic'),
])

# ===== SECTION 7: SCOPE & USE =====
data.append(["SEC: 7. SCOPE & CLINICAL USE"])
data.append([
    p('Best Used For'),
    p('Cases with clear\nmental symptoms.\nConstitutional cases.\nChronic cases with\nrich mentals'),
    p('Cases with strong\nmodalities & concomitants.\nOne-sided diseases.\nFever cases (basic)'),
    p('Pathological cases.\nFever totality cases.\nCases lacking clear\nmentals.\nOne-sided diseases.\nSecond prescription'),
])
data.append([
    p('Acute Cases'),
    partial(),
    tick(),
    tick(),
])
data.append([
    p('Chronic/Constitutional'),
    tick(),
    partial(),
    tick(),
])
data.append([
    p('Fever Cases'),
    partial(),
    tick(),
    pb('BEST (most detailed)'),
])
data.append([
    p('One-Sided Diseases\n(paucity of symptoms)'),
    cross(),
    tick(),
    tick(),
])
data.append([
    p('Second Prescription'),
    partial(),
    partial(),
    pb('BEST (concordances)'),
])
data.append([
    p('Cases with Pathological\nDiagnosis'),
    cross(),
    cross(),
    tick(),
])

# ===== SECTION 8: LIMITATIONS =====
data.append(["SEC: 8. LIMITATIONS"])
data.append([
    p('Main Limitations'),
    p('• Fails when mentals\n  are unclear/suppressed\n• Less useful in acute,\n  one-sided diseases\n• Rubric hunting can\n  be misleading'),
    p('• Fewer medicines (~300)\n• Generalization can be\n  too broad\n• Difficult to use\n  without clear philosophy\n• Less particularized'),
    p('• Smaller drug base\n  than Kent (~464)\n• Not ideal when case\n  is rich in mentals\n• Complex to learn\n  without Boenninghausen\n  philosophy'),
])

# ===== SECTION 9: COMPARISON SUMMARY =====
data.append(["SEC: 9. QUICK COMPARISON SUMMARY"])
data.append([
    p('Best Feature'),
    pb('Most rubrics & drugs.\nBest for mentals &\nconstitutional cases'),
    pb('Best synthetic method.\nFoundation of complete\nsymptom philosophy'),
    pb('Best fever totality.\nConcordances for 2nd\nprescription. Pathological\ngenerals'),
])
data.append([
    p('Difficulty Level'),
    p('Moderate\n(widely taught)'),
    p('High\n(requires deep philosophy)'),
    p('High\n(requires both Boenninghausen\n& Boger understanding)'),
])
data.append([
    p('Popularity'),
    pb('MOST WIDELY USED\nworldwide'),
    p('Less popular\nbut philosophically\nrich'),
    p('Popular in India &\namong Boger followers'),
])

# ---- Now build the actual table ----
# We need to process section rows specially

# Convert data into proper table rows and track which rows are section headers
table_rows = []
sec_row_indices = []

for i, row in enumerate(data):
    if len(row) == 1 and isinstance(row[0], str) and row[0].startswith("SEC:"):
        label = row[0][4:].strip()
        table_rows.append([
            Paragraph(f'  {label}', ParagraphStyle('SR', parent=styles['Normal'],
                fontSize=9, leading=12, fontName='Helvetica-Bold',
                textColor=colors.white)),
            '', '', ''
        ])
        sec_row_indices.append(len(table_rows) - 1)
    else:
        table_rows.append(row)

table = Table(table_rows, colWidths=W, repeatRows=1)

# Build style commands
style_cmds = [
    # Outer border
    ('BOX', (0,0), (-1,-1), 1.5, C_DARK),
    # Default grid
    ('INNERGRID', (0,0), (-1,-1), 0.4, colors.HexColor('#d0d7e3')),
    # All cells: padding
    ('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'),
    # Header row
    ('BACKGROUND', (0,0), (0,0), C_DARK),
    ('BACKGROUND', (1,0), (1,0), C_KENT),
    ('BACKGROUND', (2,0), (2,0), C_BTPB),
    ('BACKGROUND', (3,0), (3,0), C_BBCR),
    ('FONTNAME', (0,0), (-1,0), 'Helvetica-Bold'),
    ('TEXTCOLOR', (0,0), (-1,0), colors.white),
    ('FONTSIZE', (0,0), (-1,0), 9),
    ('ALIGN', (0,0), (-1,0), 'CENTER'),
    ('ROWBACKGROUNDS', (0,1), (-1,-1),
     [C_WHITE, C_ROWALT]),
    # Feature column always light navy text
    ('TEXTCOLOR', (0,1), (0,-1), C_DARK),
    ('FONTNAME', (0,1), (0,-1), 'Helvetica-Bold'),
    ('BACKGROUND', (0,1), (0,-1), colors.HexColor('#edf1f7')),
]

# Section header rows
for idx in sec_row_indices:
    style_cmds += [
        ('BACKGROUND', (0, idx), (-1, idx), C_SEC_BG),
        ('TEXTCOLOR', (0, idx), (-1, idx), colors.white),
        ('SPAN', (0, idx), (-1, idx)),
        ('FONTNAME', (0, idx), (-1, idx), 'Helvetica-Bold'),
        ('FONTSIZE', (0, idx), (-1, idx), 9),
        ('TOPPADDING', (0, idx), (-1, idx), 6),
        ('BOTTOMPADDING', (0, idx), (-1, idx), 6),
    ]

# Color tints for each repertory column
for r in range(1, len(table_rows)):
    if r not in sec_row_indices:
        style_cmds.append(('BACKGROUND', (1, r), (1, r), C_KENT_L if r % 2 == 0 else colors.white))
        style_cmds.append(('BACKGROUND', (2, r), (2, r), C_BTPB_L if r % 2 == 0 else colors.white))
        style_cmds.append(('BACKGROUND', (3, r), (3, r), C_BBCR_L if r % 2 == 0 else colors.white))

table.setStyle(TableStyle(style_cmds))

# ---- Build story ----
story = []
story.append(Spacer(1, 4))
story.append(Paragraph("COMPARISON CHART: BBCR vs KENT vs BTPB", title_style))
story.append(Paragraph(
    "Homoeopathic Repertory - Detailed Comparative Analysis | Repertorization: Principles and Practice",
    subtitle_style))
story.append(HRFlowable(width="100%", thickness=2, color=C_DARK, spaceAfter=8))
story.append(table)
story.append(Spacer(1, 8))

# Legend
legend_data = [[
    Paragraph('<b>LEGEND:</b>', ParagraphStyle('Lg', parent=styles['Normal'],
        fontSize=8, fontName='Helvetica-Bold', textColor=C_DARK)),
    Paragraph('<font color="#2E7D32"><b>✔</b></font>  = Present / Strong',
        ParagraphStyle('Lg2', parent=styles['Normal'], fontSize=8, fontName='Helvetica')),
    Paragraph('<font color="#C62828"><b>✘</b></font>  = Absent',
        ParagraphStyle('Lg3', parent=styles['Normal'], fontSize=8, fontName='Helvetica')),
    Paragraph('<font color="#E65100"><b>~</b></font>  = Partial / Limited',
        ParagraphStyle('Lg4', parent=styles['Normal'], fontSize=8, fontName='Helvetica')),
]]
leg_table = Table(legend_data, colWidths=[3*cm, 5*cm, 4*cm, 4*cm])
leg_table.setStyle(TableStyle([
    ('BOX', (0,0), (-1,-1), 1, C_DARK),
    ('BACKGROUND', (0,0), (-1,-1), colors.HexColor('#edf1f7')),
    ('TOPPADDING', (0,0), (-1,-1), 5),
    ('BOTTOMPADDING', (0,0), (-1,-1), 5),
    ('LEFTPADDING', (0,0), (-1,-1), 8),
    ('VALIGN', (0,0), (-1,-1), 'MIDDLE'),
]))
story.append(leg_table)
story.append(Spacer(1, 6))
story.append(Paragraph(
    "BBCR = Boger Boenninghausen's Characteristics & Repertory (1905)  |  "
    "BTPB = Boenninghausen's Therapeutic Pocket Book (1846)  |  "
    "Kent = Kent's Repertory of Homoeopathic Materia Medica (1897)",
    footer_style))

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