🩸 RAKTASHODHAN IN VARIOUS VYADHI

from pptx import Presentation
from pptx.util import Inches, Pt, Emu
from pptx.dml.color import RGBColor
from pptx.enum.text import PP_ALIGN, MSO_ANCHOR
from pptx.oxml.ns import qn
from lxml import etree
from io import BytesIO

# ── Color palette (Ayurvedic deep-red/gold theme) ─────────────────────────────
DEEP_RED    = RGBColor(0x8B, 0x00, 0x00)   # dark red
GOLD        = RGBColor(0xC8, 0x96, 0x00)   # golden
LIGHT_CREAM = RGBColor(0xFF, 0xF8, 0xEA)   # background cream
DARK_BROWN  = RGBColor(0x3B, 0x1F, 0x00)   # heading text
MED_BROWN   = RGBColor(0x5A, 0x30, 0x00)   # subheading
WHITE       = RGBColor(0xFF, 0xFF, 0xFF)
LIGHT_GOLD  = RGBColor(0xFF, 0xD7, 0x00)
ACCENT_RED  = RGBColor(0xB2, 0x22, 0x22)
SLATE       = RGBColor(0x4A, 0x4A, 0x4A)
TABLE_HEAD  = RGBColor(0x8B, 0x00, 0x00)
TABLE_ALT   = RGBColor(0xFF, 0xF0, 0xD8)
TABLE_NORM  = RGBColor(0xFF, 0xFF, 0xFF)

prs = Presentation()
prs.slide_width  = Inches(13.333)
prs.slide_height = Inches(7.5)

BLANK = prs.slide_layouts[6]

# ─────────────────────────────────────────────────────────────────────────────
# Helper: background fill
# ─────────────────────────────────────────────────────────────────────────────
def set_bg(slide, color: RGBColor):
    bg = slide.background
    fill = bg.fill
    fill.solid()
    fill.fore_color.rgb = color

# ─────────────────────────────────────────────────────────────────────────────
# Helper: textbox
# ─────────────────────────────────────────────────────────────────────────────
def add_tb(slide, x, y, w, h, text, size=16, bold=False, color=SLATE,
           align=PP_ALIGN.LEFT, italic=False, wrap=True, font="Calibri"):
    tb = slide.shapes.add_textbox(Inches(x), Inches(y), Inches(w), Inches(h))
    tf = tb.text_frame
    tf.word_wrap = wrap
    tf.margin_left  = Inches(0.05)
    tf.margin_right = Inches(0.05)
    tf.margin_top   = Inches(0.03)
    tf.margin_bottom= Inches(0.03)
    p = tf.paragraphs[0]
    p.alignment = align
    r = p.add_run()
    r.text = text
    r.font.name  = font
    r.font.size  = Pt(size)
    r.font.bold  = bold
    r.font.italic= italic
    r.font.color.rgb = color
    return tf

# ─────────────────────────────────────────────────────────────────────────────
# Helper: add bullet paragraph to existing text frame
# ─────────────────────────────────────────────────────────────────────────────
def add_bullet(tf, text, size=13, bold=False, color=SLATE, level=0,
               font="Calibri", italic=False):
    from pptx.oxml import parse_xml
    p = tf.add_paragraph()
    p.level = level
    p.alignment = PP_ALIGN.LEFT
    r = p.add_run()
    r.text = text
    r.font.name   = font
    r.font.size   = Pt(size)
    r.font.bold   = bold
    r.font.italic = italic
    r.font.color.rgb = color
    return p

# ─────────────────────────────────────────────────────────────────────────────
# Helper: horizontal rule (thin rectangle)
# ─────────────────────────────────────────────────────────────────────────────
def add_rule(slide, x, y, w, h=0.03, color=GOLD):
    shp = slide.shapes.add_shape(1, Inches(x), Inches(y), Inches(w), Inches(h))
    shp.fill.solid()
    shp.fill.fore_color.rgb = color
    shp.line.fill.background()
    return shp

# ─────────────────────────────────────────────────────────────────────────────
# Helper: solid rectangle (for header band, table cells)
# ─────────────────────────────────────────────────────────────────────────────
def add_rect(slide, x, y, w, h, fill_color, line_color=None, line_width=None):
    shp = slide.shapes.add_shape(1, Inches(x), Inches(y), Inches(w), Inches(h))
    shp.fill.solid()
    shp.fill.fore_color.rgb = fill_color
    if line_color:
        shp.line.color.rgb = line_color
        if line_width:
            shp.line.width = Pt(line_width)
    else:
        shp.line.fill.background()
    return shp

# ─────────────────────────────────────────────────────────────────────────────
# Helper: speaker notes
# ─────────────────────────────────────────────────────────────────────────────
def set_notes(slide, text):
    notes_slide = slide.notes_slide
    tf = notes_slide.notes_text_frame
    tf.text = text

# ─────────────────────────────────────────────────────────────────────────────
# Helper: slide header band
# ─────────────────────────────────────────────────────────────────────────────
def add_header_band(slide, title, subtitle=None):
    add_rect(slide, 0, 0, 13.333, 1.2, DEEP_RED)
    add_rect(slide, 0, 1.2, 13.333, 0.05, GOLD)
    add_tb(slide, 0.3, 0.08, 12.7, 0.65, title,
           size=28, bold=True, color=WHITE, align=PP_ALIGN.LEFT, font="Calibri")
    if subtitle:
        add_tb(slide, 0.3, 0.72, 12.7, 0.4, subtitle,
               size=13, bold=False, color=LIGHT_GOLD, align=PP_ALIGN.LEFT, font="Calibri")

# ═════════════════════════════════════════════════════════════════════════════
# SLIDE 1 — TITLE SLIDE
# ═════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
set_bg(slide, LIGHT_CREAM)

# big decorative band top
add_rect(slide, 0, 0, 13.333, 2.8, DEEP_RED)
add_rect(slide, 0, 2.8, 13.333, 0.08, GOLD)

# decorative bottom band
add_rect(slide, 0, 6.8, 13.333, 0.7, DEEP_RED)
add_rect(slide, 0, 6.75, 13.333, 0.08, GOLD)

# Devanagari-style ornament text
add_tb(slide, 0.5, 0.1, 12.3, 0.6,
       "❋  Ayurvedic Medicine Series  ❋",
       size=14, bold=False, color=LIGHT_GOLD, align=PP_ALIGN.CENTER)

# Main title
add_tb(slide, 0.5, 0.65, 12.3, 1.3,
       "RAKTASHODHAN IN VARIOUS VYADHI",
       size=36, bold=True, color=WHITE, align=PP_ALIGN.CENTER, font="Calibri")

add_tb(slide, 0.5, 1.95, 12.3, 0.7,
       "Ayurvedic Blood Purification in Disease Management",
       size=18, bold=False, color=LIGHT_GOLD, align=PP_ALIGN.CENTER, italic=True)

# Divider
add_rule(slide, 2.0, 3.05, 9.333, 0.04, GOLD)

# Body text
body_tf = add_tb(slide, 1.0, 3.25, 11.333, 0.5,
                 "Concept  |  Classification  |  Kayachikitsa  |  Various Vyadhi  |  Mode of Action",
                 size=14, color=MED_BROWN, align=PP_ALIGN.CENTER)

add_tb(slide, 1.0, 3.8, 11.333, 2.5,
       "Rakta Dhatu — the second of the Sapta Dhatus — is the very foundation of life.\n"
       "\"Dehashya Rudhiram Mulam\" — Sushruta Samhita\n\n"
       "When Rakta becomes vitiated (Dushta Rakta), it gives rise to a wide spectrum of diseases.\n"
       "Raktashodhan addresses this root cause through purification of blood.",
       size=15, color=DARK_BROWN, align=PP_ALIGN.CENTER, wrap=True)

add_tb(slide, 0.5, 6.82, 12.3, 0.5,
       "Department of Kayachikitsa  |  Ayurvedic Medicine",
       size=12, color=LIGHT_GOLD, align=PP_ALIGN.CENTER)

set_notes(slide,
    "Welcome slide. This presentation covers the Ayurvedic concept of Raktashodhan — "
    "blood purification — and its application across various diseases (Vyadhi). "
    "Rakta Dhatu is the 2nd of the 7 Dhatus, formed in liver (Yakrit) and spleen (Pleeha). "
    "Sushruta declares: 'Dehashya Rudhiram Mulam' — the root of the body is blood. "
    "Vitiated blood (Dushta Rakta) underlies many systemic and skin diseases in Ayurveda.")

# ═════════════════════════════════════════════════════════════════════════════
# SLIDE 2 — INTRODUCTION
# ═════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
set_bg(slide, LIGHT_CREAM)
add_header_band(slide, "Introduction",
                "Rakta Dhatu — The Foundation of Life")

# Left column
add_rect(slide, 0.3, 1.4, 6.0, 5.8, RGBColor(0xFF,0xF3,0xE0))
add_tb(slide, 0.45, 1.5, 5.7, 0.45,
       "RAKTA DHATU — KEY FACTS",
       size=13, bold=True, color=DEEP_RED, font="Calibri")
add_rule(slide, 0.45, 1.92, 5.6, 0.03, GOLD)

tf = add_tb(slide, 0.45, 2.0, 5.7, 0.4,
            "2nd of Sapta Dhatus; formed in Yakrit (Liver) & Pleeha (Spleen)", size=12, color=DARK_BROWN)
for bullet in [
    "Formed by Raktadhatwagni acting on Rasa Dhatu",
    "Qualities: Ushna, Tikshna, Laghu, Drava, Sara — similar to Pitta",
    "Ashray-Ashrayi relationship with Pitta Dosha",
    "Primary function: Jeevan Karma (life-sustaining nourishment)",
    "Carrier of Prana — the vital life force",
    "Associated with Varna Prasadana (complexion) & Mamsa Pusti (muscle nourishment)",
]:
    add_bullet(tf, "• " + bullet, size=12, color=DARK_BROWN)

add_rule(slide, 0.45, 4.3, 5.6, 0.03, GOLD)
add_tb(slide, 0.45, 4.4, 5.7, 0.4,
       "RAKTA PRADOSHAJA VIKARAS", size=13, bold=True, color=DEEP_RED)
tf2 = add_tb(slide, 0.45, 4.85, 5.7, 0.35,
             "Classical rule (Charaka Samhita):", size=12, italic=True, color=MED_BROWN)
for b in [
    "If disease NOT relieved by Sheeta, Ushna, Snigdha, or Ruksha Chikitsa",
    "→ Diagnose as Raktaj Vyadhi",
    "→ Raktashodhan becomes the primary therapeutic approach",
]:
    add_bullet(tf2, "  " + b, size=12, color=DARK_BROWN)

# Right column
add_rect(slide, 6.7, 1.4, 6.3, 5.8, RGBColor(0xFF,0xEE,0xE0))
add_tb(slide, 6.85, 1.5, 6.0, 0.45,
       "CAUSES OF RAKTA DUSHTI", size=13, bold=True, color=DEEP_RED)
add_rule(slide, 6.85, 1.92, 5.9, 0.03, GOLD)

tf3 = add_tb(slide, 6.85, 2.0, 6.0, 0.4, "Aharaja (Dietary):", size=12, bold=True, color=MED_BROWN)
for b in ["Kulatha, Masha, Virudhahara", "Madya (alcohol), Atimatra ahara", "Dadhi, Ajeerna, Adhyasana"]:
    add_bullet(tf3, "  • " + b, size=11.5, color=DARK_BROWN)

add_bullet(tf3, "", size=8)
add_bullet(tf3, "Viharaja (Lifestyle):", size=12, bold=True, color=MED_BROWN)
for b in ["Divaswapna (day sleep)", "Vegadharana (suppression of urges)", "Excessive sun/heat exposure"]:
    add_bullet(tf3, "  • " + b, size=11.5, color=DARK_BROWN)

add_bullet(tf3, "", size=8)
add_bullet(tf3, "Dosha-Specific:", size=12, bold=True, color=MED_BROWN)
for b in ["Pitta Pradhan — most common (Ashray-Ashrayi)",
          "Vata Pradhan — causes Sanga (stagnation)",
          "Kapha Pradhan — causes Avarana (obstruction)"]:
    add_bullet(tf3, "  • " + b, size=11.5, color=DARK_BROWN)

set_notes(slide,
    "Introduction Slide.\n\n"
    "Rakta Dhatu is the second tissue in the Ayurvedic body. It is formed in the liver (Yakrit) "
    "and spleen (Pleeha) via the Raktadhatwagni — the metabolic fire specific to blood tissue.\n\n"
    "The Ashray-Ashrayi (container-contained) relationship between Pitta Dosha and Rakta Dhatu "
    "means that Pitta vitiation is the most common cause of Rakta Dushti (blood vitiation).\n\n"
    "Charaka Samhita lays down a diagnostic rule: if a disease is not responding to cold, hot, "
    "unctuous, or dry therapies, it is most likely a Raktaj Vyadhi — requiring blood purification.\n\n"
    "Causes of Rakta Dushti include dietary errors (incompatible foods, alcohol, excessive intake), "
    "lifestyle causes (day sleep, suppression of natural urges), and Dosha-specific imbalances.")

# ═════════════════════════════════════════════════════════════════════════════
# SLIDE 3 — WHAT IS RAKTASHODHAN
# ═════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
set_bg(slide, LIGHT_CREAM)
add_header_band(slide, "What is Raktashodhan?",
                "Definition, Classification & Raktashodhaka Dravyas")

# Definition box
add_rect(slide, 0.3, 1.4, 12.7, 0.9, DEEP_RED)
add_tb(slide, 0.5, 1.48, 12.3, 0.75,
       "RAKTASHODHAN = Rakta (Blood) + Shodhan (Purification)   —   "
       "All therapeutic measures aimed at purifying vitiated Rakta Dhatu and restoring normal blood tissue function",
       size=14, bold=True, color=WHITE, align=PP_ALIGN.CENTER, wrap=True)

# Two columns
add_rect(slide, 0.3, 2.45, 5.9, 4.8, RGBColor(0xFF,0xF3,0xE0))
add_tb(slide, 0.45, 2.55, 5.6, 0.45,
       "RAKTAMOKSHANA — Local Purification", size=13, bold=True, color=DEEP_RED)
add_rule(slide, 0.45, 2.97, 5.6, 0.03, GOLD)

tf = add_tb(slide, 0.45, 3.05, 5.6, 0.4, "Blood-letting techniques:", size=12, bold=True, color=MED_BROWN)
for item in [
    ("Jalauka Avacharana", "Leech therapy — Pitta/Raktaja conditions"),
    ("Siravyadha / Siravedha", "Venesection — piercing of vein"),
    ("Pracchana", "Multiple superficial pricking"),
    ("Shringa", "Horn application (vacuum suction)"),
    ("Alabu", "Dried gourd cup suction"),
]:
    add_bullet(tf, f"  • {item[0]}: {item[1]}", size=11.5, color=DARK_BROWN)

add_rule(slide, 0.45, 5.2, 5.6, 0.03, GOLD)
add_bullet(tf, "Indicated when Rakta Dushti is localized", size=12, italic=True, color=MED_BROWN)
add_bullet(tf, "Removes Dushta Rakta directly from site", size=12, italic=True, color=MED_BROWN)

add_rect(slide, 6.5, 2.45, 6.5, 4.8, RGBColor(0xFF,0xEE,0xD8))
add_tb(slide, 6.65, 2.55, 6.2, 0.45,
       "AUSHADHA RAKTASHODHAN — Systemic", size=13, bold=True, color=DEEP_RED)
add_rule(slide, 6.65, 2.97, 6.1, 0.03, GOLD)

tf2 = add_tb(slide, 6.65, 3.05, 6.2, 0.4, "Key Raktashodhaka Dravyas (Blood Purifying Herbs):", size=12, bold=True, color=MED_BROWN)
herbs = [
    ("Manjishtha",    "Rubia cordifolia",     "Deepest cleanser; liver + Raktavahasrotas"),
    ("Nimba (Neem)",  "Azadirachta indica",   "Antibacterial; flushes liver & biliary tree"),
    ("Khadira",       "Acacia catechu",       "Chronic dark skin diseases; lymphatic"),
    ("Haridra",       "Curcuma longa",        "Tridoshic; anti-inflammatory, antioxidant"),
    ("Guduchi",       "Tinospora cordifolia", "Pitta-pacifying; liver affinity; anti-Ama"),
    ("Sariva",        "Hemidesmus indicus",   "Cooling blood purifier; Pitta-Rakta"),
    ("Triphala",      "Terminalia spp.",      "Systemic cleansing; Virechana effect"),
]:
    add_bullet(tf2, f"• {item[0]} ({item[2]})", size=11.5, color=DARK_BROWN)

set_notes(slide,
    "What is Raktashodhan Slide.\n\n"
    "Raktashodhan literally means 'purification of blood' — a comprehensive approach in Ayurveda "
    "to cleanse vitiated Rakta Dhatu.\n\n"
    "TWO MAIN APPROACHES:\n"
    "1. Raktamokshana (blood-letting) — used for localized blood vitiation. The five techniques are:\n"
    "   - Jalauka Avacharana (leech therapy) — best for Pitta-Rakta conditions, eczema, skin disease\n"
    "   - Siravyadha (venesection) — piercing a vein; used for systemic conditions\n"
    "   - Pracchana — multiple pricking, for localized conditions\n"
    "   - Shringa — horn cup, for Vata-dominant conditions\n"
    "   - Alabu — gourd cup suction\n\n"
    "2. Aushadha Raktashodhan — systemic herbal purification. Key herbs include:\n"
    "   - Manjishtha: the premier Rakta-shodhaka; acts on raktavahasrotas and liver\n"
    "   - Neem: outstanding blood cleanser; antibacterial, antifungal\n"
    "   - Khadira: for chronic, deep-seated skin diseases\n"
    "   - Haridra (Turmeric): tridoshic; curcumin has anti-inflammatory, antioxidant properties\n"
    "   - Guduchi: Pitta-pacifying, hepatoprotective, immunomodulatory\n"
    "   - Sariva: cooling blood purifier for Pitta-Rakta conditions\n"
    "   - Triphala: systemic cleansing, supports Virechana\n\n"
    "Note: Raktamokshana is one of the five Panchakarma procedures in the Sushruta tradition.")

# ═════════════════════════════════════════════════════════════════════════════
# SLIDE 4 — USE IN KAYACHIKITSA
# ═════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
set_bg(slide, LIGHT_CREAM)
add_header_band(slide, "Use in Kayachikitsa",
                "Blood Purification in Internal Medicine — the Sequential Protocol")

# 3 boxes
box_y = 1.5
for i, (title, color_box, items) in enumerate([
    ("STAGE 1 — DEEPANA-PACHANA", RGBColor(0xFF,0xE0,0xB2), [
        "Restore Jatharagni (digestive fire)",
        "Eliminate Ama (undigested metabolic toxins)",
        "Herbs: Trikatu, Chitrakadi Vati, Hingwashtak",
        "Without this step, Shodhana is incomplete",
    ]),
    ("STAGE 2 — RAKTASHODHAN\n(Shodhana Chikitsa)", RGBColor(0xFF,0xCC,0xBC), [
        "Virechana: purgation — clears Pitta/Rakta from liver & GIT",
        "Raktamokshana: Jalauka, Siravyadha, Pracchana",
        "Aushadha: Manjishtha, Nimba, Khadira, Guduchi decoctions",
        "Duration: minimum 2 weeks; up to 1 month for chronic cases",
    ]),
    ("STAGE 3 — RASAYANA\n(Rejuvenation)", RGBColor(0xFF,0xE8,0xCC), [
        "Must follow every Raktashodhan program",
        "Rebuilds Shuddha (pure) Rakta Dhatu",
        "Chyawanprash, Draksha, Amalaki Rasayana",
        "Restores Ojas (vital essence) and immunity",
    ]),
]):
    x = 0.3 + i * 4.35
    add_rect(slide, x, box_y, 4.1, 5.7, color_box)
    add_rect(slide, x, box_y, 4.1, 0.55, DEEP_RED)
    add_tb(slide, x+0.1, box_y+0.05, 3.9, 0.45, title,
           size=12, bold=True, color=WHITE, wrap=True)
    add_rule(slide, x+0.1, box_y+0.58, 3.9, 0.03, GOLD)
    tf = add_tb(slide, x+0.15, box_y+0.7, 3.8, 0.35, "", size=12)
    for b in items:
        add_bullet(tf, "• " + b, size=12, color=DARK_BROWN)

# Arrows between boxes
arrow_y = 4.0
for ax in [4.4, 8.75]:
    add_tb(slide, ax, arrow_y, 0.4, 0.4, "▶", size=22, color=GOLD, align=PP_ALIGN.CENTER)

# Bottom principle
add_rect(slide, 0.3, 7.1, 12.7, 0.25, DEEP_RED)
add_tb(slide, 0.5, 7.11, 12.3, 0.22,
       "Charaka Samhita: \"Yaabhihi Kriyaabhihi Jaayante Shareere Dhaatavaha Samaaha Saa Chikitsa\" "
       "— Treatment is what restores Dhatu equilibrium",
       size=11, color=WHITE, italic=True, align=PP_ALIGN.CENTER, wrap=True)

set_notes(slide,
    "Use in Kayachikitsa (Internal Medicine) Slide.\n\n"
    "Kayachikitsa is the first of the 8 branches of Ashtanga Ayurveda. It deals with systemic "
    "diseases of the Kaya (body as a whole). Raktashodhan is used in TWO ways in Kayachikitsa:\n\n"
    "1. As Shodhana Chikitsa (purification): Virechana and Raktamokshana to eliminate Dushta Rakta\n"
    "2. As Shamana Chikitsa (palliation): Raktashodhaka herbs given as Kwatha, Churna, Vati, or Asava\n\n"
    "THE SEQUENTIAL PROTOCOL is critical:\n"
    "Stage 1 — Deepana-Pachana FIRST: Restore digestive fire and eliminate Ama. "
    "Without this step, Shodhana therapy is ineffective as Ama clogs channels.\n\n"
    "Stage 2 — Raktashodhan: Virechana (purgation) for systemic Pitta-Rakta clearance. "
    "Raktamokshana for localized or severe vitiation. Herbal decoctions run in parallel.\n"
    "Minimum duration: 2 weeks as a preliminary before Panchakarma. "
    "1 month for preventive spring cleanse. After symptom remission, continue 1 more month.\n\n"
    "Stage 3 — Rasayana (mandatory after Shodhana): Rebuilds pure Rakta Dhatu. "
    "Chyawanprash is the recommended post-Shodhana rejuvenator for most patients.\n\n"
    "Classical quote: Charaka Samhita states that treatment is that which restores equilibrium of Dhatus.")

# ═════════════════════════════════════════════════════════════════════════════
# SLIDE 5 — USE IN VARIOUS VYADHI (Part 1)
# ═════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
set_bg(slide, LIGHT_CREAM)
add_header_band(slide, "Use in Various Vyadhi — Part 1",
                "Skin Diseases, Gout, Herpes & Liver-Spleen Disorders")

diseases = [
    ("TVAK VIKARA\n(Skin Diseases)", [
        "Kushtha (Psoriasis/Eczema): Virechana + Manjishtha + Khadira",
        "Vicharchika (Eczema): Jalauka + Nimba + Haridra",
        "Yuvanpidika (Acne): Virechana + Sariva + Manjishtha",
        "Sheetapitta (Urticaria): Nimba + Haridra + Triphala",
        "Kitibha Kushtha: Siravyadha + Khadira Arishta",
    ], DEEP_RED),
    ("VATARAKTA\n(Gout)", [
        "Classical indication in Sushruta's Vatarakta Chikitsa",
        "Uric acid (Ama) deposits in joints → intense inflammation",
        "Jalauka or Pracchana over affected joint",
        "Removes uric acid-rich stagnant blood rapidly",
        "Internal: Guduchi, Triphala, Manjishtha",
    ], RGBColor(0x7B,0x00,0x00)),
    ("VISARPA\n(Herpes / Spreading Infection)", [
        "Pitta + Rakta predominant Samprapti",
        "Severe burning, rapidly spreading lesions",
        "Siravyadha removes maximum vitiated blood",
        "Instant relief in burning; halts disease spread",
        "Herbs: Nimba, Haridra, Guduchi",
    ], RGBColor(0x6B,0x00,0x00)),
    ("YAKRIT-PLEEHA ROGA\n(Liver-Spleen Disorders)", [
        "Liver is ROOT of Rakta Dhatu",
        "Raktashodhan directly addresses hepatic disorders",
        "Nimba, Guduchi, Daruharidra cleanse liver",
        "Virechana is primary Panchakarma for Yakrit Roga",
        "Triphala supports biliary clearance",
    ], RGBColor(0x5A,0x00,0x00)),
]

for i, (dis_title, dis_items, color) in enumerate(diseases):
    col = i % 2
    row = i // 2
    x = 0.3 + col * 6.55
    y = 1.45 + row * 2.9
    add_rect(slide, x, y, 6.25, 2.7, RGBColor(0xFF,0xF5,0xE8))
    add_rect(slide, x, y, 6.25, 0.55, color)
    add_tb(slide, x+0.1, y+0.05, 6.0, 0.45, dis_title,
           size=12, bold=True, color=WHITE, wrap=True)
    add_rule(slide, x+0.1, y+0.57, 6.0, 0.03, GOLD)
    tf = add_tb(slide, x+0.15, y+0.7, 5.9, 0.3, "", size=12)
    for b in dis_items:
        add_bullet(tf, "• " + b, size=11.5, color=DARK_BROWN)

set_notes(slide,
    "Use in Various Vyadhi — Part 1\n\n"
    "TVAK VIKARA (Skin Diseases):\n"
    "Skin diseases are the most common indication for Raktashodhan. All Kushtha involve "
    "vitiation of Pitta-Rakta. Ayurvedic treatment ALWAYS begins with Raktashodhan and "
    "Deepana-Pachana before any local treatment.\n"
    "- Eczema/Psoriasis (Kushtha): Virechana + Manjishtha + Khadira Arishta\n"
    "- Eczema (Vicharchika): Jalauka therapy + Nimba + Haridra\n"
    "- Acne (Yuvanpidika): Virechana + Sariva + Manjishtha (addresses hormonal-metabolic root)\n"
    "- Urticaria (Sheetapitta): Nimba + Haridra + Triphala\n\n"
    "VATARAKTA (Gout):\n"
    "A classical indication in Sushruta Samhita's Vatarakta Chikitsa chapter. "
    "Uric acid crystals (analogous to Ama) deposit in joints. Localized bloodletting via "
    "Jalauka or Pracchana physically removes uric acid-rich blood from the joint, "
    "providing rapid relief that oral medications may take days to achieve.\n\n"
    "VISARPA (Erysipelas/Herpes/Spreading infection):\n"
    "Pitta + Rakta predominant. Siravyadha removes maximum vitiated blood, "
    "providing instant relief in burning and halting the spreading of lesions.\n\n"
    "YAKRIT-PLEEHA ROGA (Liver-Spleen disorders):\n"
    "The liver is the root (Mula) of Rakta Dhatu. Blood purification directly heals hepatic dysfunction. "
    "Nimba is described as more effective than a 'liver flush' for deep hepatic stagnation.")

# ═════════════════════════════════════════════════════════════════════════════
# SLIDE 6 — USE IN VARIOUS VYADHI (Part 2)
# ═════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
set_bg(slide, LIGHT_CREAM)
add_header_band(slide, "Use in Various Vyadhi — Part 2",
                "Joint Disorders, Eye Diseases, Cardiovascular & Other Conditions")

diseases2 = [
    ("SANDHI ROGA / AMAVATA\n(Arthritis / RA)", [
        "Pitta-Vata → inflammation, swelling, joint pain",
        "Jalauka + Siravyadha reduce local blood stagnation",
        "Relieves pain and restores joint mobility",
        "Herbs: Guduchi, Manjishtha, Triphala",
        "Virechana for systemic clearance in severe cases",
    ], DEEP_RED),
    ("ARSHA / VARICOSE VEINS\n(Hemorrhoids / Venous Stasis)", [
        "Blood stagnation, Vata-Pitta imbalance in Siras",
        "Jalauka over varicose veins → improves blood flow",
        "Siravyadha for hemorrhoids → removes impure blood",
        "Reduces swelling, pain, and clot formation risk",
        "Leech saliva (hirudin) acts as natural anticoagulant",
    ], RGBColor(0x7B,0x00,0x00)),
    ("NETRA ROGA\n(Eye Disorders)", [
        "Pitta-vitiated blood causes conjunctivitis, blepharitis",
        "Blood congestion around eyes → redness, irritation",
        "Siravyadha near eye region relieves congestion",
        "Reduces redness, swelling, and discomfort",
        "Herbs: Triphala wash, Haridra, Nimba",
    ], RGBColor(0x6B,0x00,0x00)),
    ("HRIDROGA & RAKTAVATA\n(CVS & Hypertension)", [
        "Removes impure blood → reduces Pitta-Kapha load",
        "Improves circulation, regulates blood pressure",
        "Herbs: Arjuna, Guduchi, Manjishtha",
        "Reduces risk of cardiovascular complications",
        "Combined with Shamana therapy for long-term benefit",
    ], RGBColor(0x5A,0x00,0x00)),
]

for i, (dis_title, dis_items, color) in enumerate(diseases2):
    col = i % 2
    row = i // 2
    x = 0.3 + col * 6.55
    y = 1.45 + row * 2.9
    add_rect(slide, x, y, 6.25, 2.7, RGBColor(0xFF,0xF5,0xE8))
    add_rect(slide, x, y, 6.25, 0.55, color)
    add_tb(slide, x+0.1, y+0.05, 6.0, 0.45, dis_title,
           size=12, bold=True, color=WHITE, wrap=True)
    add_rule(slide, x+0.1, y+0.57, 6.0, 0.03, GOLD)
    tf = add_tb(slide, x+0.15, y+0.7, 5.9, 0.3, "", size=12)
    for b in dis_items:
        add_bullet(tf, "• " + b, size=11.5, color=DARK_BROWN)

# Bottom note
add_rect(slide, 0.3, 7.1, 12.7, 0.25, DEEP_RED)
add_tb(slide, 0.5, 7.11, 12.3, 0.22,
       "Also indicated in: Pandu Roga (Anemia post-Shodhana Rasayana) | "
       "Jwara & post-febrile conditions (Sariva, Neem) | Indralupta (Alopecia) | Darunak (Dandruff)",
       size=10, color=WHITE, italic=True, align=PP_ALIGN.CENTER, wrap=True)

set_notes(slide,
    "Use in Various Vyadhi — Part 2\n\n"
    "SANDHI ROGA / AMAVATA (Arthritis / Rheumatoid Arthritis):\n"
    "Pitta-Vata imbalance drives joint inflammation. Jalauka and Siravyadha reduce local "
    "blood stagnation and inflammatory burden. Guduchi is specifically indicated for its "
    "immunomodulatory and anti-inflammatory properties.\n\n"
    "ARSHA / VARICOSE VEINS (Hemorrhoids / Venous Stasis):\n"
    "Raktashodhan is highly effective here. Leech therapy for varicose veins improves blood flow "
    "and reduces clot risk. A 2019 case series (Journal of Indian System of Medicine) documented "
    "improvement in 12/15 patients with venous insufficiency treated with Siravedha + Jalauka over 4 weeks.\n"
    "Leech saliva contains hirudin — a natural anticoagulant — explaining its effectiveness.\n\n"
    "NETRA ROGA (Eye Disorders):\n"
    "Pitta-vitiated blood causes blood congestion around the eye. Siravyadha near the eye region "
    "decompresses the area and reduces Pitta-driven inflammation.\n\n"
    "HRIDROGA & RAKTAVATA (Cardiovascular / Hypertension):\n"
    "By removing impure blood and reducing the Pitta-Kapha load, Raktashodhan helps regulate "
    "blood pressure and improves circulation. Arjuna is the chief cardiac herb in Ayurveda.\n\n"
    "Also note: In Pandu Roga (anemia), Shodhana is done first to clear Ama, then Rasayana "
    "herbs rebuild healthy Rakta. Raktashodhan does not contradict anemia treatment — "
    "it addresses the ROOT cause of impaired Rakta formation.")

# ═════════════════════════════════════════════════════════════════════════════
# SLIDE 7 — MODE OF ACTION (Dosha-Wise)
# ═════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
set_bg(slide, LIGHT_CREAM)
add_header_band(slide, "Mode of Action — Dosha-Wise Mechanism",
                "How Raktashodhan Works According to Vata, Pitta & Kapha")

dosha_data = [
    ("VATA PRADHAN\nRAKTA DUSHTI", DEEP_RED,
     "Problem:", "Vata's normal circulation (Gati) is disturbed by Sanga (obstruction/stagnation) in Siras",
     "Action:", "Raktashodhan normalizes Vata Gati by removing obstruction from channels",
     "Examples:", "Pakshaghat (Hemiplegia), Avascular Necrosis, Gridhrasi (Sciatica)"),
    ("PITTA PRADHAN\nRAKTA DUSHTI", RGBColor(0x7B,0x00,0x00),
     "Problem:", "Ashray-Ashrayi relationship — Pitta vitiation directly vitiates Rakta; Ushna-Tikshna burns tissues",
     "Action:", "Removing vitiated Rakta directly reduces Pitta burden; decreases Ushna & Tikshna properties",
     "Examples:", "Visarpa, Pittaja Vatarakta, Kushtha, Yakrit Roga, Yuvanpidika"),
    ("KAPHA PRADHAN\nRAKTA DUSHTI", RGBColor(0x5A,0x00,0x00),
     "Problem:", "Kapha creates Avarana (coating/obstruction) over channels, blocking Rakta flow",
     "Action:", "Siravedha removes Kapha Avarana; restores channel patency and normal Dosha movement",
     "Examples:", "Gridhrasi (Sciatica), Kapha-predominant Kushtha, Prameha"),
]

for i, (title, color, p1l, p1, p2l, p2, p3l, p3) in enumerate(dosha_data):
    x = 0.3 + i * 4.35
    add_rect(slide, x, 1.45, 4.1, 5.8, RGBColor(0xFF,0xF3,0xE8))
    add_rect(slide, x, 1.45, 4.1, 0.6, color)
    add_tb(slide, x+0.1, 1.5, 3.9, 0.5, title,
           size=13, bold=True, color=WHITE, wrap=True, align=PP_ALIGN.CENTER)
    add_rule(slide, x+0.1, 2.07, 3.9, 0.03, GOLD)
    tf = add_tb(slide, x+0.15, 2.15, 3.8, 0.4, p1l, size=12, bold=True, color=DEEP_RED)
    add_bullet(tf, p1, size=11.5, color=DARK_BROWN)
    add_bullet(tf, "", size=6)
    add_bullet(tf, p2l, size=12, bold=True, color=DEEP_RED)
    add_bullet(tf, p2, size=11.5, color=DARK_BROWN)
    add_bullet(tf, "", size=6)
    add_bullet(tf, p3l, size=12, bold=True, color=DEEP_RED)
    add_bullet(tf, p3, size=11.5, color=MED_BROWN, italic=True)

set_notes(slide,
    "Mode of Action — Dosha-Wise Mechanism\n\n"
    "VATA PRADHAN RAKTA DUSHTI:\n"
    "When Vata is the primary aggravated Dosha, it causes Sanga (stagnation/obstruction) within "
    "the blood vessels (Siras). Raktashodhan, particularly Siravedha, mechanically clears this "
    "obstruction and normalizes Vata Gati (movement). This is why bloodletting was used in "
    "conditions like Pakshaghat (stroke/hemiplegia) where impaired circulation is central.\n\n"
    "PITTA PRADHAN RAKTA DUSHTI:\n"
    "This is the MOST COMMON pattern. Due to the Ashray-Ashrayi (container-contained) relationship, "
    "Pitta Dosha resides within Rakta Dhatu. When Pitta is aggravated, it directly vitiates Rakta. "
    "The excessive Ushna (hot) and Tikshna (sharp/penetrating) qualities of Pitta cause burning, "
    "inflammation, and tissue destruction. Raktashodhan directly removes this Pitta-laden blood "
    "from the body, providing rapid symptomatic relief.\n\n"
    "KAPHA PRADHAN RAKTA DUSHTI:\n"
    "Kapha creates Avarana — a coating or obstruction over channels. This blocks the normal flow "
    "of blood and other Doshas. Siravedha punctures this obstruction and restores channel patency. "
    "Example: In Gridhrasi (sciatica), Kapha Avarana over the Vata-carrying channels causes "
    "nerve pain and motor weakness.")

# ═════════════════════════════════════════════════════════════════════════════
# SLIDE 8 — MODE OF ACTION (Dhatu-Wise)
# ═════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
set_bg(slide, LIGHT_CREAM)
add_header_band(slide, "Mode of Action — Dhatu-Wise Mechanism",
                "Progressive Tissue Purification through Raktashodhan")

# Table header
cols = [2.1, 3.5, 4.8, 2.833]
col_x = [0.3, 2.4, 5.9, 10.7]
headers = ["Dhatu Layer", "Disease (Vyadhi)", "Mechanism", "Key Therapy"]
row_y = 1.45
# Header row
for j, (hdr, cx, cw) in enumerate(zip(headers, col_x, cols)):
    add_rect(slide, cx, row_y, cw - 0.05, 0.5, TABLE_HEAD)
    add_tb(slide, cx+0.05, row_y+0.05, cw-0.15, 0.4, hdr,
           size=12, bold=True, color=WHITE, align=PP_ALIGN.CENTER)

table_rows = [
    ("Rasa Dhatu\n(Twak — Skin)",
     "All Kushtha types",
     "Rasa and Rakta flow together in vessels (plasma + cells). Bloodletting reduces vitiated Rasa Dhatu that re-vitiates Twak repeatedly",
     "Siravedha\nVirechana"),
    ("Rakta Dhatu\n(Blood Tissue)",
     "Visarpa, Vatarakta, Vicharchika, Yakrit-Pleeha Roga, Indralupta, Darunak",
     "Direct removal of Dushita Rakta. Shuddha (pure) Rakta then forms normalized Mamsa Dhatu and onwards in chain",
     "Jalauka\nSiravedha\nPracchana"),
    ("Mamsa Dhatu\n(Muscle/Nail)",
     "Chippa (paronychia), nail disorders",
     "Vitiated Rakta + Mamsa Dhatu impair nail & muscle nutrition. Raktashodhan restores Mamsa Dhatu nourishment",
     "Local Jalauka\nAushadha Shodhan"),
    ("Deeper Dhatus\n(Asthi/Majja/Shukra)",
     "Chronic systemic conditions",
     "Sequential Dhatu purification — once Rakta is purified, clean nutrition flows to Mamsa → Meda → Asthi → Majja → Shukra",
     "Virechana +\nRasayana cycle"),
]

row_colors = [TABLE_ALT, TABLE_NORM, TABLE_ALT, TABLE_NORM]
for r, (row_data, bg) in enumerate(zip(table_rows, row_colors)):
    ry = row_y + 0.52 + r * 1.35
    for j, (cell, cx, cw) in enumerate(zip(row_data, col_x, cols)):
        add_rect(slide, cx, ry, cw - 0.05, 1.3, bg)
        add_rect(slide, cx, ry, cw - 0.05, 1.3, bg,
                 line_color=RGBColor(0xCC,0x99,0x55), line_width=0.5)
        add_tb(slide, cx+0.07, ry+0.05, cw-0.18, 1.2,
               cell, size=10.5, color=DARK_BROWN, wrap=True)

# Bottom note
add_rect(slide, 0.3, 7.1, 12.7, 0.28, DEEP_RED)
add_tb(slide, 0.5, 7.12, 12.3, 0.24,
       "Key principle: Purifying Rakta restores the entire sequential Dhatu nutrition chain — from Rasa to Shukra",
       size=11, color=WHITE, italic=True, align=PP_ALIGN.CENTER)

set_notes(slide,
    "Mode of Action — Dhatu-Wise Mechanism\n\n"
    "The 7 Dhatus (body tissues) are formed sequentially in Ayurveda: "
    "Rasa → Rakta → Mamsa → Meda → Asthi → Majja → Shukra.\n"
    "Each Dhatu provides the nutritional substrate for the next.\n\n"
    "This is the key insight for understanding HOW Raktashodhan heals deeper diseases:\n\n"
    "1. Rasa (Twak) layer — Kushtha: Rasa and Rakta travel together in Siras. "
    "When bloodletting is done, the volume of vitiated Rasa Dhatu also decreases. "
    "This breaks the cycle of Rasa continually re-vitiating the skin.\n\n"
    "2. Rakta layer — Visarpa, Vatarakta, Vicharchika, Yakrit-Pleeha, Indralupta, Darunak: "
    "Direct removal of Dushita Rakta from the body. Once Dushita Rakta is gone, Shuddha Rakta "
    "forms and provides clean nutrition to Mamsa Dhatu, and the chain heals from within.\n\n"
    "3. Mamsa layer — Chippa (paronychia/nail disease): Vitiated Rakta and Mamsa Dhatu "
    "impair nail nutrition (nails are Mala/byproduct of Asthi Dhatu via Mamsa). "
    "Raktashodhan restores Mamsa nourishment and heals nail disorders.\n\n"
    "4. Deeper Dhatus: For chronic conditions involving Asthi (bone), Majja (marrow), or Shukra, "
    "sequential Shodhana + Rasayana cycles are needed. Each cycle purifies one deeper Dhatu layer.")

# ═════════════════════════════════════════════════════════════════════════════
# SLIDE 9 — MODE OF ACTION (Herbal Mechanisms)
# ═════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
set_bg(slide, LIGHT_CREAM)
add_header_band(slide, "Mode of Action — Aushadha Raktashodhan",
                "Herbal Blood Purification: Mechanism & Modern Correlates")

herb_data = [
    ("Manjishtha\n(Rubia cordifolia)",
     "Clears raktavahasrotas & liver; cooling virya pacifies Pitta-Rakta; Tridoshic",
     "Lymphatic stimulant, hepatoprotective, anti-inflammatory, antioxidant"),
    ("Nimba / Neem\n(Azadirachta indica)",
     "Flushes liver & biliary tree; clears Pitta-Rakta accumulation; removes Doshic impurities",
     "Antibacterial, antifungal, antioxidant, anti-inflammatory, immune-stimulant"),
    ("Haridra / Turmeric\n(Curcuma longa)",
     "Tridoshic; clears Ama from Rakta; reduces Pitta; anti-inflammatory in all Dhatus",
     "Curcumin: anti-inflammatory, antioxidant, antibacterial, antiviral, hepatoprotective"),
    ("Guduchi\n(Tinospora cordifolia)",
     "Pitta-pacifying; affinity for liver; clears Ama; bitter—deepens Jatharagni",
     "Immunomodulatory, hepatoprotective, anti-inflammatory, anti-diabetic"),
    ("Khadira\n(Acacia catechu)",
     "Deeply penetrates chronic blood toxins; clears Kapha-Pitta in skin dhatus",
     "Antimicrobial, astringent, lymphatic purifier, anti-eczematic"),
    ("Sariva\n(Hemidesmus indicus)",
     "Cooling Pitta-Rakta pacifier; acts on raktavahasrotas; improves complexion",
     "Anti-inflammatory, diuretic, adaptogenic, blood purifying"),
]

col_w = 6.35
for i, (herb, ayur_mech, mod_mech) in enumerate(herb_data):
    col = i % 2
    row = i // 2
    x = 0.3 + col * 6.7
    y = 1.45 + row * 1.95
    add_rect(slide, x, y, col_w, 1.8, RGBColor(0xFF,0xF3,0xE8))
    add_rect(slide, x, y, col_w, 0.42, DEEP_RED)
    add_tb(slide, x+0.1, y+0.04, col_w-0.2, 0.34, herb,
           size=12, bold=True, color=WHITE)
    tf = add_tb(slide, x+0.1, y+0.5, col_w-0.2, 0.35,
                "Ayurvedic: " + ayur_mech, size=11, color=DARK_BROWN, italic=False)
    add_bullet(tf, "Modern: " + mod_mech, size=11, color=MED_BROWN, italic=True)

set_notes(slide,
    "Mode of Action — Aushadha Raktashodhan (Herbal Blood Purification)\n\n"
    "Each Raktashodhaka herb has a specific Ayurvedic mechanism AND modern pharmacological correlate:\n\n"
    "MANJISHTHA (Rubia cordifolia):\n"
    "- Ayurveda: Astringent-bitter taste, cooling virya, sweet vipak. Tridoshic. Acts on raktavahasrotas.\n"
    "- Modern: Lymphatic stimulant, hepatoprotective, anti-inflammatory. Key for deep-seated skin conditions.\n\n"
    "NIMBA (Neem / Azadirachta indica):\n"
    "- Ayurveda: Bitter-pungent, cooling virya. Flushes liver and biliary tree more effectively than most 'liver flushes'.\n"
    "- Modern: Antibacterial, antifungal, antioxidant, anti-inflammatory, immune-stimulant.\n\n"
    "HARIDRA (Turmeric / Curcuma longa):\n"
    "- Ayurveda: Most versatile herb. Astringent-pungent, heating virya. Tridoshic in correct dose.\n"
    "- Modern: Curcumin is anti-inflammatory, antioxidant, antibacterial, antiviral, hepatoprotective, anti-cancer.\n\n"
    "GUDUCHI (Tinospora cordifolia):\n"
    "- Ayurveda: Bitter-astringent-pungent, heating virya, sweet vipak. Tridoshic. Affinity for liver.\n"
    "- Modern: Immunomodulatory, hepatoprotective, anti-inflammatory, anti-diabetic.\n\n"
    "KHADIRA (Acacia catechu):\n"
    "- Ayurveda: Premier herb for dark, chronic, thick-plaque skin diseases. Penetrates deep Dhatus.\n"
    "- Modern: Antimicrobial, astringent, lymphatic purifier.\n\n"
    "SARIVA (Hemidesmus indicus):\n"
    "- Ayurveda: Cooling Pitta-Rakta pacifier. Improves Varna (complexion). Acts on raktavahasrotas.\n"
    "- Modern: Anti-inflammatory, diuretic, adaptogenic, blood purifying.")

# ═════════════════════════════════════════════════════════════════════════════
# SLIDE 10 — SUMMARY
# ═════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
set_bg(slide, LIGHT_CREAM)
add_header_band(slide, "Summary",
                "Raktashodhan in Various Vyadhi — Key Takeaways")

summary_pts = [
    ("Concept",           "Purification of vitiated Rakta Dhatu through internal herbs and/or external bloodletting"),
    ("Classical Basis",   "Charaka Samhita, Sushruta Samhita, Ashtanga Hridayam; Raktamokshana is one of the Panchakarma"),
    ("Rakta-Pitta Link",  "Ashray-Ashrayi relationship — Pitta vitiation is the primary cause of Rakta Pradoshaja Vikaras"),
    ("Two Approaches",    "Raktamokshana (local): Jalauka, Siravedha, Pracchana + Aushadha Raktashodhan (systemic herbs)"),
    ("Kayachikitsa",      "Used in Shodhana + Shamana phases; preceded by Deepana-Pachana, followed by Rasayana"),
    ("Key Diseases",      "Kushtha, Visarpa, Vatarakta, Yakrit-Pleeha, Sandhi Roga, Sheetapitta, Netra Roga, Arsha"),
    ("Mode of Action",    "Removes Dushta Rakta → reduces Dosha burden → clears Avarana → restores Dhatu nutrition → normalizes Samprapti"),
    ("Key Herbs",         "Manjishtha, Nimba, Khadira, Haridra, Guduchi, Sariva, Triphala, Mahasudarshan"),
    ("Safety/Contraind.", "Avoid in severe Pandu (anemia), Krusha (emaciated), pregnancy, children, elderly — without assessment"),
    ("Modern Relevance",  "Leech therapy validated for varicose veins, arthritis, skin diseases; Curcumin & Neem extensively researched"),
]

for i, (label, content) in enumerate(summary_pts):
    row = i % 5
    col = i // 5
    x = 0.3 + col * 6.55
    y = 1.45 + row * 1.17
    bg = TABLE_ALT if i % 2 == 0 else TABLE_NORM
    add_rect(slide, x, y, 6.25, 1.1, bg, line_color=RGBColor(0xCC,0x99,0x55), line_width=0.5)
    add_tb(slide, x+0.08, y+0.05, 1.8, 0.45,
           label, size=11, bold=True, color=DEEP_RED)
    add_tb(slide, x+0.08, y+0.48, 6.0, 0.55,
           content, size=11, color=DARK_BROWN, wrap=True)

set_notes(slide,
    "Summary Slide — Raktashodhan in Various Vyadhi\n\n"
    "Concept: Raktashodhan is the comprehensive Ayurvedic approach to purifying vitiated Rakta Dhatu.\n\n"
    "Classical Basis: Described in all three major classical texts. Raktamokshana is the 5th Panchakarma.\n\n"
    "Rakta-Pitta Link: The Ashray-Ashrayi relationship is the key pathophysiological concept. "
    "Most Rakta Pradoshaja Vikaras have a Pitta component.\n\n"
    "Two Approaches: (1) Raktamokshana — for localized or severe blood vitiation; "
    "(2) Aushadha Raktashodhan — for systemic blood purification via herbs.\n\n"
    "Kayachikitsa Protocol: Always in sequence — Deepana-Pachana → Raktashodhan → Rasayana.\n\n"
    "Key Diseases: Skin (Kushtha, Vicharchika, Yuvanpidika, Sheetapitta), "
    "Vatarakta (Gout), Visarpa, Yakrit-Pleeha, Sandhi Roga, Netra Roga, Arsha.\n\n"
    "Mode of Action: Three levels — Dosha (Vata/Pitta/Kapha), Dhatu (Rasa/Rakta/Mamsa), "
    "and specific herbal pharmacology.\n\n"
    "Safety: Contraindicated in severe anemia, emaciation, pregnancy, children, and elderly "
    "without proper assessment.\n\n"
    "Modern Relevance: Leech therapy validated in clinical studies. "
    "Turmeric (curcumin) and Neem have extensive modern evidence for anti-inflammatory "
    "and blood-purifying properties — supporting the classical Ayurvedic framework.")

# ═════════════════════════════════════════════════════════════════════════════
# SLIDE 11 — REFERENCES / THANK YOU
# ═════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
set_bg(slide, LIGHT_CREAM)

add_rect(slide, 0, 0, 13.333, 2.0, DEEP_RED)
add_rect(slide, 0, 2.0, 13.333, 0.07, GOLD)
add_tb(slide, 0.5, 0.2, 12.3, 0.7,
       "References & Classical Sources", size=30, bold=True, color=WHITE, align=PP_ALIGN.CENTER)
add_tb(slide, 0.5, 0.9, 12.3, 0.9,
       "Raktashodhan in Various Vyadhi — Ayurvedic Medicine",
       size=16, color=LIGHT_GOLD, align=PP_ALIGN.CENTER, italic=True)

refs = [
    "Charaka Samhita — Sutra Sthana (Ch. 16, 24) & Chikitsa Sthana (Rakta Pradoshaja Vikara)",
    "Sushruta Samhita — Chikitsa Sthana (Vatarakta Chikitsa); Sharira Sthana (Rakta Dhatu)",
    "Ashtanga Hridayam — Sutrasthana & Chikitsa Sthana (Vagbhatta on Jeevana Karma of Rakta)",
    "Patel et al. — 'Siravedhan Karma: A Review', World Journal of Pharmaceutical Research, Vol.12 Issue 1, 2023",
    "IJCRT2404069 — 'Understanding Raktadushti: Ayurvedic Insights into Blood Vitiation', Int. J. Creative Research Thoughts, 2024",
    "Alandi Ayurveda Institute — 'Rakta Shodhan: Blood Cleansing' (ayurveda.alandiashram.org)",
    "Sreedhareeyam Hospital — 'Raktamokshana Treatment in Ayurveda', Dec 2024",
    "PMC10972801 — Ayurvedic management of Cutaneous Lichen Planus (Shodhana in Kushtha), 2024",
]

tf = add_tb(slide, 0.8, 2.2, 11.8, 0.45, "Classical & Research References:", size=13, bold=True, color=DEEP_RED)
for ref in refs:
    add_bullet(tf, "• " + ref, size=11.5, color=DARK_BROWN)

add_rect(slide, 0, 6.9, 13.333, 0.6, DEEP_RED)
add_tb(slide, 0.5, 6.93, 12.3, 0.5,
       "❋  Thank You  ❋     \"Swasthasya Swasthya Rakshanam — Aturasya Vikara Prasamanam\"",
       size=14, bold=True, color=WHITE, align=PP_ALIGN.CENTER)

set_notes(slide,
    "References and Thank You Slide.\n\n"
    "Key classical references for this presentation:\n\n"
    "1. Charaka Samhita — the foundational text of Kayachikitsa (internal medicine). "
    "Sutra Sthana Ch. 16 contains the Shatvidha Chikitsa classification. "
    "Ch. 24 (Vidhishonitiya Adhyaya) covers Rakta Dushti causes and treatment.\n\n"
    "2. Sushruta Samhita — the surgical text that formalized Raktamokshana as Panchakarma. "
    "Contains the most detailed description of Vatarakta Chikitsa using bloodletting.\n\n"
    "3. Ashtanga Hridayam by Vagbhatta — describes Jeevana Karma (life-sustaining function) of Rakta.\n\n"
    "4. Modern research validation: Patel et al. (WJPR 2023) provides detailed Dosha-Dhatu wise "
    "mechanism of Siravedha Karma.\n\n"
    "Classical Ayurvedic principle (closing quote):\n"
    "'Swasthasya Swasthya Rakshanam — Aturasya Vikara Prasamanam' — "
    "The goal of Ayurveda is to maintain health in the healthy, and to cure disease in the diseased.")

# ─────────────────────────────────────────────────────────────────────────────
# SAVE
# ─────────────────────────────────────────────────────────────────────────────
out_path = "/tmp/workspace/raktashodhan-ppt/Raktashodhan_In_Various_Vyadhi.pptx"
buf = BytesIO()
prs.save(buf)
with open(out_path, "wb") as f:
    f.write(buf.getvalue())

print(f"Saved: {out_path}")
print(f"Slides: {len(prs.slides)}")

Successfully replaced 1 instance(s) of the string in '/tmp/workspace/raktashodhan-ppt/create_ppt.py'