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.enum.shapes import MSO_SHAPE, MSO_CONNECTOR
from io import BytesIO

# ─── COLOUR PALETTE ────────────────────────────────────────────
DEEP_GREEN   = RGBColor(0x1A, 0x5C, 0x38)   # Ayurveda primary
MID_GREEN    = RGBColor(0x2E, 0x8B, 0x57)
LIGHT_GREEN  = RGBColor(0xD4, 0xED, 0xDA)
DEEP_BLUE    = RGBColor(0x0D, 0x3B, 0x6E)   # Modern/medical primary
MID_BLUE     = RGBColor(0x1A, 0x73, 0xBB)
LIGHT_BLUE   = RGBColor(0xD0, 0xE8, 0xF8)
GOLD         = RGBColor(0xC8, 0x96, 0x20)
CREAM        = RGBColor(0xFD, 0xF6, 0xE3)
WHITE        = RGBColor(0xFF, 0xFF, 0xFF)
DARK_GRAY    = RGBColor(0x2D, 0x2D, 0x2D)
MED_GRAY     = RGBColor(0x55, 0x55, 0x55)
LIGHT_GRAY   = RGBColor(0xF0, 0xF0, 0xF0)
RED_ACCENT   = RGBColor(0xC0, 0x39, 0x2B)
ORANGE       = RGBColor(0xE6, 0x7E, 0x22)

prs = Presentation()
prs.slide_width  = Inches(13.333)
prs.slide_height = Inches(7.5)
BLANK = prs.slide_layouts[6]


# ─── HELPER FUNCTIONS ──────────────────────────────────────────

def add_rect(slide, x, y, w, h, fill_color, line_color=None, line_w=None):
    shp = slide.shapes.add_shape(MSO_SHAPE.RECTANGLE, 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
        shp.line.width = Pt(line_w or 1)
    else:
        shp.line.fill.background()
    shp.shadow.inherit = False
    return shp

def add_rr(slide, x, y, w, h, fill_color, line_color=None, line_w=None):
    shp = slide.shapes.add_shape(MSO_SHAPE.ROUNDED_RECTANGLE, 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
        shp.line.width = Pt(line_w or 1)
    else:
        shp.line.fill.background()
    shp.shadow.inherit = False
    return shp

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

def add_tb_multi(slide, x, y, w, h, lines, size, bold=False, color=DARK_GRAY,
                 align=PP_ALIGN.LEFT, line_spacing=1.15):
    """lines = list of (text, bold_override, color_override) OR plain strings"""
    tb = slide.shapes.add_textbox(Inches(x), Inches(y), Inches(w), Inches(h))
    tf = tb.text_frame
    tf.word_wrap = True
    tf.margin_left = Pt(4); tf.margin_right = Pt(4)
    tf.margin_top = Pt(4);  tf.margin_bottom = Pt(4)
    from pptx.oxml.ns import qn
    from lxml import etree
    first = True
    for line in lines:
        if isinstance(line, str):
            txt, b, c = line, bold, color
        else:
            txt, b, c = line[0], line[1] if len(line)>1 else bold, line[2] if len(line)>2 else color
        if first:
            p = tf.paragraphs[0]
            first = False
        else:
            p = tf.add_paragraph()
        p.alignment = align
        # line spacing
        from pptx.oxml.ns import qn
        pPr = p._p.get_or_add_pPr()
        lnSpc = etree.SubElement(pPr, qn('a:lnSpc'))
        spcPct = etree.SubElement(lnSpc, qn('a:spcPct'))
        spcPct.set('val', str(int(line_spacing * 100000)))
        r = p.add_run()
        r.text = txt
        r.font.name = "Calibri"
        r.font.size = Pt(size)
        r.font.bold = b
        r.font.color.rgb = c
    return tf

def header_bar(slide, title, subtitle=None,
               bar_color=DEEP_BLUE, title_color=WHITE, sub_color=LIGHT_BLUE):
    add_rect(slide, 0, 0, 13.333, 1.1, bar_color)
    add_tb(slide, 0.35, 0.12, 12.6, 0.65, title, 28, bold=True,
           color=title_color, align=PP_ALIGN.LEFT)
    if subtitle:
        add_tb(slide, 0.35, 0.72, 12.6, 0.38, subtitle, 14, bold=False,
               color=sub_color, align=PP_ALIGN.LEFT)

def slide_bg(slide, color=WHITE):
    add_rect(slide, 0, 0, 13.333, 7.5, color)

def footer(slide, text="Ayurveda vs Modern Medicine | Pre-Eclampsia Prevention"):
    add_rect(slide, 0, 7.15, 13.333, 0.35, DEEP_BLUE)
    add_tb(slide, 0.3, 7.17, 10, 0.28, text, 9, color=LIGHT_BLUE, align=PP_ALIGN.LEFT)

def divider(slide, y=1.12, color=GOLD):
    ln = slide.shapes.add_connector(MSO_CONNECTOR.STRAIGHT,
                                    Inches(0), Inches(y), Inches(13.333), Inches(y))
    ln.line.color.rgb = color
    ln.line.width = Pt(2)


# ══════════════════════════════════════════════════════════════
# SLIDE 1 — TITLE SLIDE
# ══════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
# Full background split
add_rect(slide, 0, 0, 6.667, 7.5, DEEP_GREEN)   # left - Ayurveda
add_rect(slide, 6.667, 0, 6.666, 7.5, DEEP_BLUE) # right - Modern

# Decorative top strip
add_rect(slide, 0, 0, 13.333, 0.18, GOLD)

# Centre white panel
add_rr(slide, 1.8, 1.5, 9.7, 4.5, WHITE, GOLD, 1.5)

# Title
add_tb(slide, 2.0, 1.8, 9.3, 1.0,
       "Ayurvedic vs Modern Mechanisms", 34, bold=True,
       color=DEEP_GREEN, align=PP_ALIGN.CENTER)
add_tb(slide, 2.0, 2.75, 9.3, 0.7,
       "in Pre-Eclampsia Prevention", 32, bold=True,
       color=DEEP_BLUE, align=PP_ALIGN.CENTER)

# Gold divider
add_rect(slide, 3.5, 3.5, 6.3, 0.06, GOLD)

# Subtitle
add_tb(slide, 2.0, 3.65, 9.3, 0.55,
       "An Integrative Analysis of Pathophysiology, Dosha Science & Evidence-Based Nutrition",
       14, color=MED_GRAY, align=PP_ALIGN.CENTER, italic=True)

# Labels
add_tb(slide, 0.15, 6.8, 3.0, 0.5, "AYURVEDA", 15, bold=True,
       color=LIGHT_GREEN, align=PP_ALIGN.LEFT)
add_tb(slide, 10.3, 6.8, 3.0, 0.5, "MODERN MEDICINE", 15, bold=True,
       color=LIGHT_BLUE, align=PP_ALIGN.RIGHT)

# Bottom note
add_tb(slide, 2.0, 5.9, 9.3, 0.5,
       "Prasuti Tantra  |  Garbhini Paricharya  |  Evidence-Based Obstetrics",
       12, color=MED_GRAY, align=PP_ALIGN.CENTER)


# ══════════════════════════════════════════════════════════════
# SLIDE 2 — AGENDA
# ══════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
slide_bg(slide, CREAM)
header_bar(slide, "Presentation Agenda", "Overview of topics covered", DEEP_GREEN, WHITE, LIGHT_GREEN)
divider(slide)
footer(slide)

agenda_items = [
    ("01", "Pre-Eclampsia Overview", "Epidemiology, clinical triad, diagnostic criteria"),
    ("02", "Modern Pathogenesis", "Spiral artery remodeling, sFlt-1, endothelial dysfunction"),
    ("03", "Ayurvedic Framework", "Dosha analysis, Garbhini Vyapad, Samprapti"),
    ("04", "Mechanism Comparison", "Side-by-side parallel pathways"),
    ("05", "Modern Prevention", "Calcium, Vitamin D, DASH diet, aspirin"),
    ("06", "Ayurvedic Prevention", "Garbhini Paricharya, Masanumasika Chikitsa"),
    ("07", "Herb-Evidence Bridge", "Shatavari, Gokshura, Haridra - modern validation"),
    ("08", "Integrated Model & Future", "Combining both systems for better outcomes"),
]

cols = [(0.35, 1.25), (6.85, 1.25)]
for i, (num, title, sub) in enumerate(agenda_items):
    col = i % 2
    row = i // 2
    x = cols[col][0]
    y = 1.35 + row * 1.45
    box = add_rr(slide, x, y, 6.1, 1.25,
                 LIGHT_GREEN if col == 0 else LIGHT_BLUE,
                 DEEP_GREEN if col == 0 else DEEP_BLUE, 1)
    add_rect(slide, x, y, 0.7, 1.25,
             DEEP_GREEN if col == 0 else DEEP_BLUE)
    add_tb(slide, x+0.05, y+0.3, 0.6, 0.65, num, 18, bold=True,
           color=WHITE, align=PP_ALIGN.CENTER)
    add_tb(slide, x+0.8, y+0.1, 5.2, 0.45, title, 13, bold=True,
           color=DEEP_GREEN if col==0 else DEEP_BLUE, align=PP_ALIGN.LEFT)
    add_tb(slide, x+0.8, y+0.55, 5.2, 0.6, sub, 10.5, color=MED_GRAY,
           align=PP_ALIGN.LEFT)


# ══════════════════════════════════════════════════════════════
# SLIDE 3 — PRE-ECLAMPSIA OVERVIEW
# ══════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
slide_bg(slide, WHITE)
header_bar(slide, "Pre-Eclampsia: Overview", "A multisystem pregnancy disorder affecting 3-5% of pregnancies worldwide", DEEP_BLUE)
divider(slide)
footer(slide)

# Clinical triad boxes
triad = [
    ("HYPERTENSION", "BP ≥ 140/90 mmHg\nNew onset after 20 wks\nVasospasm-mediated", DEEP_BLUE, LIGHT_BLUE),
    ("PROTEINURIA", "≥ 300 mg/24 hrs\nGlomerular endotheliosis\nRenal dysfunction", MID_GREEN, LIGHT_GREEN),
    ("EDEMA", "Non-dependent\nFace, hands, feet\nCapillary leak", ORANGE, RGBColor(0xFF,0xEE,0xCC)),
]
for i, (title, desc, col, bg) in enumerate(triad):
    x = 0.35 + i * 3.0
    add_rr(slide, x, 1.25, 2.75, 2.4, bg, col, 1.5)
    add_rect(slide, x, 1.25, 2.75, 0.52, col)
    add_tb(slide, x+0.1, 1.28, 2.55, 0.46, title, 13, bold=True,
           color=WHITE, align=PP_ALIGN.CENTER)
    add_tb(slide, x+0.15, 1.85, 2.45, 1.7, desc, 11, color=DARK_GRAY,
           align=PP_ALIGN.CENTER)

# Key facts right panel
add_rr(slide, 9.45, 1.25, 3.5, 2.4, LIGHT_GRAY, MED_GRAY, 0.5)
add_tb(slide, 9.6, 1.3, 3.2, 0.4, "Key Facts", 13, bold=True, color=DEEP_BLUE)
facts = [
    "• Onset: >20 weeks gestation",
    "• Incidence: 3-5% of pregnancies",
    "• Leading cause of maternal mortality",
    "• #1 risk: 1st pregnancy (nulliparity)",
    "• Resolves post-delivery",
    "• Long-term CV & renal risk",
]
add_tb_multi(slide, 9.6, 1.75, 3.2, 1.85, facts, 10.5, color=DARK_GRAY)

# Spectrum bar
add_tb(slide, 0.35, 3.8, 12.6, 0.35, "Disease Spectrum", 13, bold=True, color=DEEP_BLUE)
spectrum = [
    ("Gestational HTN", MID_BLUE, WHITE),
    ("Mild Pre-Eclampsia", MID_GREEN, WHITE),
    ("Severe Pre-Eclampsia", ORANGE, WHITE),
    ("Eclampsia", RED_ACCENT, WHITE),
    ("HELLP Syndrome", RGBColor(0x6C,0x35,0x83), WHITE),
]
sw = 2.46
for i, (label, col, tc) in enumerate(spectrum):
    add_rect(slide, 0.35 + i*sw, 4.2, sw-0.05, 0.55, col)
    add_tb(slide, 0.38 + i*sw, 4.25, sw-0.1, 0.45, label, 10.5, bold=True,
           color=tc, align=PP_ALIGN.CENTER)

# HELLP note
add_tb(slide, 0.35, 4.85, 12.6, 0.45,
       "HELLP = Hemolytic anemia + Elevated Liver enzymes + Low Platelets  |  Occurs in ~10% of severe pre-eclampsia",
       10.5, color=MED_GRAY, italic=True)

# Ayurveda correlation note
add_rr(slide, 0.35, 5.45, 12.6, 1.3, LIGHT_GREEN, DEEP_GREEN, 1)
add_tb(slide, 0.55, 5.52, 1.8, 0.35, "Ayurveda Correlate:", 11, bold=True, color=DEEP_GREEN)
add_tb(slide, 0.55, 5.9, 12.1, 0.75,
       "Garbhini Vyapad (pregnancy complications) — Garbhini Shotha (edema), Garbhini Mutragraha (urinary/renal involvement), "
       "Raktadusti (blood vitiation) + Vata-Kapha-Pitta Tridosha imbalance in Artavavaha, Mutravaha, and Raktavaha Srotas",
       10.5, color=DARK_GRAY)


# ══════════════════════════════════════════════════════════════
# SLIDE 4 — MODERN PATHOGENESIS
# ══════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
slide_bg(slide, WHITE)
header_bar(slide, "Modern Pathogenesis of Pre-Eclampsia",
           "Defective placentation → angiogenic imbalance → endothelial dysfunction → clinical syndrome", DEEP_BLUE)
divider(slide)
footer(slide)

# Flow chart - 5 steps
steps = [
    ("1", "Abnormal\nPlacentation", "Trophoblast fails to\nremodel spiral arteries.\nVessels remain narrow.", DEEP_BLUE),
    ("2", "Placental\nHypoxia", "Ischemia activates\nHIF-1α, oxidative\nstress, inflammation.", MID_BLUE),
    ("3", "Angiogenic\nImbalance", "↑ sFlt-1, ↑ Endoglin\n↓ VEGF, ↓ PlGF\nAnti-angiogenic state.", RED_ACCENT),
    ("4", "Endothelial\nDysfunction", "↓ Prostacyclin (PGI2)\n↑ Thromboxane A2\nVasospasm, coagulation.", ORANGE),
    ("5", "Clinical\nSyndrome", "Hypertension\nProteinuria, Edema\nHELLP / Eclampsia", DEEP_GREEN),
]

for i, (num, title, desc, col) in enumerate(steps):
    x = 0.35 + i * 2.55
    add_rr(slide, x, 1.35, 2.3, 2.0, LIGHT_BLUE if col != DEEP_GREEN else LIGHT_GREEN, col, 1.5)
    add_rect(slide, x, 1.35, 2.3, 0.45, col)
    add_tb(slide, x+0.05, 1.36, 0.4, 0.43, num, 18, bold=True, color=WHITE)
    add_tb(slide, x+0.45, 1.38, 1.75, 0.4, title, 11, bold=True, color=WHITE, align=PP_ALIGN.CENTER)
    add_tb(slide, x+0.1, 1.85, 2.1, 1.45, desc, 10, color=DARK_GRAY, align=PP_ALIGN.CENTER)
    # Arrow (not after last)
    if i < 4:
        ln = slide.shapes.add_connector(MSO_CONNECTOR.STRAIGHT,
            Inches(x+2.3), Inches(2.35), Inches(x+2.55), Inches(2.35))
        ln.line.color.rgb = MED_GRAY
        ln.line.width = Pt(2)

# Consequences panel
add_tb(slide, 0.35, 3.55, 12.6, 0.35, "Downstream Consequences", 13, bold=True, color=DEEP_BLUE)
cons = [
    ("Renal", "Glomerular endotheliosis,\nproteinuria, ↓ GFR", LIGHT_BLUE, DEEP_BLUE),
    ("Hepatic", "Periportal necrosis,\nsubcapsular hematoma", LIGHT_BLUE, DEEP_BLUE),
    ("CNS", "Cerebral edema,\nseizures (eclampsia)", RGBColor(0xEA,0xE4,0xF7), RGBColor(0x5B,0x2C,0x8D)),
    ("Placental", "Infarction, IUGR,\nabruption risk", LIGHT_GREEN, DEEP_GREEN),
    ("Hematologic", "HELLP, DIC,\nMicroangiopathy", RGBColor(0xFF,0xEB,0xCC), ORANGE),
]
for i, (organ, text, bg, tc) in enumerate(cons):
    x = 0.35 + i*2.58
    add_rr(slide, x, 3.95, 2.48, 1.2, bg, tc, 1)
    add_tb(slide, x+0.1, 3.98, 2.28, 0.38, organ, 12, bold=True, color=tc, align=PP_ALIGN.CENTER)
    add_tb(slide, x+0.1, 4.38, 2.28, 0.7, text, 9.5, color=DARK_GRAY, align=PP_ALIGN.CENTER)

# Key molecules box
add_rr(slide, 0.35, 5.3, 12.6, 1.4, LIGHT_GRAY, MED_GRAY, 0.5)
add_tb(slide, 0.55, 5.35, 4.0, 0.38, "Key Molecular Players:", 12, bold=True, color=DEEP_BLUE)
mol_text = ("sFlt-1 (soluble FMS-like tyrosine kinase-1): anti-angiogenic, binds/neutralises VEGF & PlGF  |  "
            "Endoglin: antagonises TGF-β  |  PlGF: pro-angiogenic (decreased in PE)  |  "
            "Thromboxane A2: vasoconstrictor  |  Prostacyclin (PGI2): vasodilator (decreased)  |  "
            "HIF-1α: hypoxia marker in PE placentas  |  ROS: oxidative stress mediators")
add_tb(slide, 0.55, 5.78, 12.2, 0.85, mol_text, 9.5, color=DARK_GRAY)


# ══════════════════════════════════════════════════════════════
# SLIDE 5 — AYURVEDIC DOSHA FRAMEWORK
# ══════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
slide_bg(slide, CREAM)
header_bar(slide, "Ayurvedic Framework for Pre-Eclampsia",
           "Tridosha Vitiation in Garbhini (Pregnant Woman) | Garbhini Vyapad", DEEP_GREEN)
divider(slide, color=GOLD)
footer(slide)

# Three Dosha boxes
doshas = [
    ("VATA\n(Primary)", "Apana Vata",
     ["• Governs pelvic region,\n  uterine blood flow",
      "• Impairment = defective\n  spiral artery remodeling",
      "• Vasospasm & channel\n  constriction (Sanga)",
      "• Governs Prasava (delivery)"],
     DEEP_BLUE, LIGHT_BLUE),
    ("KAPHA\n(Secondary)", "Shleshaka Kapha",
     ["• Governs fluid balance,\n  lubrication of channels",
      "• Vriddhi = Srotorodha\n  (channel obstruction)",
      "• Causes Shotha (edema)\n  and Mutravaha Dushti",
      "• Proteinuria equivalent"],
     MID_GREEN, LIGHT_GREEN),
    ("PITTA\n(Tertiary)", "Pachaka + Ranjaka Pitta",
     ["• Governs blood quality\n  and inflammatory heat",
      "• Rakta Dushti = vessel\n  inflammation, atherosis",
      "• Hepatic involvement\n  (Yakrit Vikara - HELLP)",
      "• Visual disturbance\n  (Alochaka Pitta)"],
     RED_ACCENT, RGBColor(0xFF,0xE5,0xE5)),
]

for i, (title, sub, bullets, col, bg) in enumerate(doshas):
    x = 0.35 + i*4.33
    add_rr(slide, x, 1.25, 4.1, 4.9, bg, col, 1.5)
    add_rect(slide, x, 1.25, 4.1, 0.7, col)
    add_tb(slide, x+0.1, 1.28, 3.9, 0.38, title, 15, bold=True,
           color=WHITE, align=PP_ALIGN.CENTER)
    add_tb(slide, x+0.1, 1.62, 3.9, 0.28, sub, 11, bold=False,
           color=WHITE, align=PP_ALIGN.CENTER, italic=True)
    y_b = 2.05
    for b in bullets:
        add_tb(slide, x+0.2, y_b, 3.7, 0.55, b, 10.5, color=DARK_GRAY)
        y_b += 0.88

# Srotas (channels) affected
add_tb(slide, 0.35, 6.2, 12.6, 0.32, "Affected Srotas (Body Channels):", 12, bold=True, color=DEEP_GREEN)
srotas = [
    ("Artavavaha\nSrotas", "Uterine/menstrual\nchannels", DEEP_GREEN),
    ("Raktavaha\nSrotas", "Blood-carrying\nchannels", RED_ACCENT),
    ("Mutravaha\nSrotas", "Urinary/renal\nchannels", MID_BLUE),
    ("Rasavaha\nSrotas", "Nutritive fluid\nchannels", MID_GREEN),
    ("Majjavaha\nSrotas", "Nervous system\nchannels", RGBColor(0x5B,0x2C,0x8D)),
]
sw = 2.58
for i, (name, desc, col) in enumerate(srotas):
    x = 0.35 + i*sw
    add_rr(slide, x, 6.55, sw-0.1, 0.55, LIGHT_GRAY, col, 1)
    add_tb(slide, x+0.05, 6.57, (sw-0.2)/2+0.05, 0.4, name, 9, bold=True, color=col)
    add_tb(slide, x+(sw-0.2)/2+0.15, 6.57, (sw-0.2)/2-0.1, 0.4, desc, 8.5, color=MED_GRAY)


# ══════════════════════════════════════════════════════════════
# SLIDE 6 — SAMPRAPTI (AYURVEDIC PATHOGENESIS)
# ══════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
slide_bg(slide, WHITE)
header_bar(slide, "Samprapti: Ayurvedic Pathogenesis of Pre-Eclampsia",
           "Six-stage pathological progression (Shatkriyakala) in Garbhini", DEEP_GREEN)
divider(slide, color=GOLD)
footer(slide)

stages = [
    ("SANCHAYA\n(Accumulation)", "Dietary excess —\nsalt, sour, heavy\nfoods accumulate\ndosha", DEEP_GREEN),
    ("PRAKOPA\n(Aggravation)", "Aggravation of\nVata + Kapha in\npelvis and uterine\nregion", MID_GREEN),
    ("PRASARA\n(Spread)", "Vitiated doshas\nspread via Rasa\nand Rakta Dhatu\ninto circulation", ORANGE),
    ("STHANASAMSHRAYA\n(Localisation)", "Doshas settle in\nGarbhashaya,\nMutravaha, and\nRaktavaha Srotas", RED_ACCENT),
    ("VYAKTI\n(Manifestation)", "Clinical: Shotha\n(edema), Mutrala\ndushti (proteinuria),\nShirashoola (HTN)", DEEP_BLUE),
    ("BHEDA\n(Complication)", "Eclampsia (Apasmara),\nHELLP (Raktapitta),\nFetal compromise,\nMaternal death", RGBColor(0x6C,0x35,0x83)),
]

bw = 2.15
for i, (stage, desc, col) in enumerate(stages):
    x = 0.25 + i*2.15
    add_rr(slide, x, 1.3, bw-0.1, 3.8, LIGHT_GRAY, col, 1.5)
    add_rect(slide, x, 1.3, bw-0.1, 0.72, col)
    add_tb(slide, x+0.05, 1.32, bw-0.2, 0.68, stage, 9.5, bold=True,
           color=WHITE, align=PP_ALIGN.CENTER)
    add_tb(slide, x+0.1, 2.1, bw-0.2, 2.9, desc, 10.5, color=DARK_GRAY, align=PP_ALIGN.CENTER)
    # Arrow
    if i < 5:
        ax = x + bw - 0.1
        ln = slide.shapes.add_connector(MSO_CONNECTOR.STRAIGHT,
            Inches(ax), Inches(3.2), Inches(ax+0.1), Inches(3.2))
        ln.line.color.rgb = col
        ln.line.width = Pt(2)

# Samprapti Ghataka table
add_tb(slide, 0.3, 5.25, 12.7, 0.35, "Samprapti Ghataka (Pathological Components)", 13, bold=True, color=DEEP_GREEN)

headers = ["Dosha", "Dushya (Tissue)", "Srotas", "Sroto Dusti", "Adhisthana", "Vyaadhiswabhava"]
vals    = ["Vata + Kapha\n+ Pitta", "Rasa, Rakta,\nMeda, Mamsa", "Artava, Rakta,\nMutra, Rasa", "Sanga +\nAtipravrutti", "Garbhashaya\nHridaya, Mutra", "Krichra\nSadhya"]
cw = 2.18
for i, (h, v) in enumerate(zip(headers, vals)):
    x = 0.3 + i*cw
    add_rect(slide, x, 5.65, cw-0.05, 0.38, DEEP_GREEN)
    add_tb(slide, x+0.05, 5.67, cw-0.15, 0.34, h, 10, bold=True,
           color=WHITE, align=PP_ALIGN.CENTER)
    add_rr(slide, x, 6.05, cw-0.05, 0.65, LIGHT_GREEN, DEEP_GREEN, 0.5)
    add_tb(slide, x+0.05, 6.08, cw-0.15, 0.59, v, 9.5, color=DARK_GRAY, align=PP_ALIGN.CENTER)


# ══════════════════════════════════════════════════════════════
# SLIDE 7 — MECHANISM COMPARISON (Side-by-Side)
# ══════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
slide_bg(slide, WHITE)
header_bar(slide, "Mechanism Comparison: Ayurveda vs Modern Medicine",
           "Parallel pathways — remarkably convergent despite independent origins", DARK_GRAY)
divider(slide)
footer(slide)

# Column headers
add_rect(slide, 0.3, 1.2, 4.1, 0.45, DEEP_GREEN)
add_tb(slide, 0.3, 1.22, 4.1, 0.41, "AYURVEDIC CONCEPT", 13, bold=True,
       color=WHITE, align=PP_ALIGN.CENTER)
add_rect(slide, 4.6, 1.2, 4.1, 0.45, MED_GRAY)
add_tb(slide, 4.6, 1.22, 4.1, 0.41, "BRIDGING CONCEPT", 13, bold=True,
       color=WHITE, align=PP_ALIGN.CENTER)
add_rect(slide, 9.1, 1.2, 4.1, 0.45, DEEP_BLUE)
add_tb(slide, 9.1, 1.22, 4.1, 0.41, "MODERN EQUIVALENT", 13, bold=True,
       color=WHITE, align=PP_ALIGN.CENTER)

rows = [
    ("Apana Vata Vikruti\nin Artavavaha Srotas",
     "Impaired directional\nflow in uterine channels",
     "Defective trophoblast\ninvasion of spiral arteries",
     LIGHT_GREEN, LIGHT_GRAY, LIGHT_BLUE),
    ("Kapha Sanga\n(channel obstruction)",
     "Physical obstruction\nof fluid passages",
     "Endothelial dysfunction,\nSrotorodha → no dilation",
     LIGHT_GREEN, LIGHT_GRAY, LIGHT_BLUE),
    ("Ama (metabolic toxins)\nin Rasa/Rakta Dhatu",
     "Circulating toxic\nsubstances",
     "sFlt-1, anti-angiogenic\nfactors in circulation",
     LIGHT_GREEN, LIGHT_GRAY, LIGHT_BLUE),
    ("Vyana Vata +\nRakta Dusti",
     "Vitiated blood under\nhigh circulatory force",
     "Hypertension + endothelial\ninflammation / atherosis",
     LIGHT_GREEN, LIGHT_GRAY, LIGHT_BLUE),
    ("Kapha Vriddhi +\nRasa Dhatu overflow",
     "Excess fluid accumulation\nin peripheral tissues",
     "Capillary leak syndrome,\ngeneralized edema",
     LIGHT_GREEN, LIGHT_GRAY, LIGHT_BLUE),
    ("Mutravaha Sroto\nDushti (Kapha obstruction)",
     "Blocked renal channels\n→ protein escape",
     "Glomerular endotheliosis,\nproteinuria",
     LIGHT_GREEN, LIGHT_GRAY, LIGHT_BLUE),
    ("Apasmara / Vata-Kapha\nof Majjavaha Srotas",
     "Vata affecting nervous\nsystem channels",
     "Eclampsia — cerebral\nedema and seizures",
     LIGHT_GREEN, LIGHT_GRAY, LIGHT_BLUE),
]

rh = 0.68
for i, (ay, br, mo, bgA, bgB, bgM) in enumerate(rows):
    y = 1.73 + i*rh
    if i % 2 == 0:
        add_rect(slide, 0.3, y, 12.9, rh-0.04, LIGHT_GRAY)
    add_rr(slide, 0.32, y+0.03, 4.05, rh-0.1, bgA, DEEP_GREEN, 0.5)
    add_tb(slide, 0.42, y+0.07, 3.85, rh-0.2, ay, 9.5, color=DARK_GRAY)
    add_rr(slide, 4.62, y+0.03, 4.05, rh-0.1, bgB, MED_GRAY, 0.5)
    add_tb(slide, 4.72, y+0.07, 3.85, rh-0.2, br, 9.5, color=DARK_GRAY, align=PP_ALIGN.CENTER)
    add_rr(slide, 9.12, y+0.03, 4.05, rh-0.1, bgM, DEEP_BLUE, 0.5)
    add_tb(slide, 9.22, y+0.07, 3.85, rh-0.2, mo, 9.5, color=DARK_GRAY)
    # connector dots
    add_tb(slide, 4.4, y+0.2, 0.22, 0.3, "↔", 14, color=MED_GRAY, align=PP_ALIGN.CENTER)
    add_tb(slide, 8.88, y+0.2, 0.22, 0.3, "↔", 14, color=MED_GRAY, align=PP_ALIGN.CENTER)


# ══════════════════════════════════════════════════════════════
# SLIDE 8 — MODERN PREVENTION
# ══════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
slide_bg(slide, WHITE)
header_bar(slide, "Modern Evidence-Based Prevention Strategies",
           "Nutritional, pharmacological, and lifestyle interventions with clinical evidence", DEEP_BLUE)
divider(slide)
footer(slide)

# Four strategy boxes
strats = [
    ("CALCIUM\nSUPPLEMENTATION",
     ["500-1500 mg/day",
      "Halves PE risk in low-intake\npopulations",
      "Prevents spiral artery\nvasoconstriction",
      "Evidence: Meta-analysis\nGunabalasingam 2023\n(PMID 36352102)"],
     DEEP_BLUE, LIGHT_BLUE),
    ("VITAMIN D",
     ["600-2000 IU/day",
      "Regulates trophoblast\ninvasion & immune tolerance",
      "Inconsistent evidence —\nneeds large RCTs",
      "Evidence: Systematic review\n(Ushida 2025, PMID 39930022)"],
     MID_BLUE, RGBColor(0xE0,0xF0,0xFF)),
    ("ASPIRIN\n(Low-dose)",
     ["75-150 mg/day",
      "Begin before 16 weeks in\nhigh-risk women",
      "Restores TxA2/PGI2 balance;\nanti-platelet",
      "ACOG & NICE recommended;\nHigh evidence (Level A)"],
     RED_ACCENT, RGBColor(0xFF,0xEB,0xEB)),
    ("DASH DIET\nPATTERN",
     ["High: fruits, vegetables,\nwhole grains, low-fat dairy",
      "35-45% reduced PE risk\nin observational studies",
      "Key nutrients: Ca, Mg, K,\nFiber, antioxidants",
      "Evidence: PMC 2025\nnarrative review"],
     DEEP_GREEN, LIGHT_GREEN),
]

for i, (title, pts, col, bg) in enumerate(strats):
    x = 0.28 + i*3.22
    add_rr(slide, x, 1.25, 3.1, 4.65, bg, col, 1.5)
    add_rect(slide, x, 1.25, 3.1, 0.65, col)
    add_tb(slide, x+0.1, 1.28, 2.9, 0.59, title, 11.5, bold=True,
           color=WHITE, align=PP_ALIGN.CENTER)
    y_p = 2.0
    for pt in pts:
        add_tb(slide, x+0.15, y_p, 2.8, 0.72, "• " + pt, 9.5, color=DARK_GRAY)
        y_p += 0.88

# Additional supplements row
add_tb(slide, 0.3, 6.0, 12.7, 0.35, "Additional Supplements Under Investigation (Ushida 2025):", 12, bold=True, color=DEEP_BLUE)
supps = ["Magnesium", "L-arginine", "CoQ10", "Lycopene", "Omega-3 DHA", "Folic Acid", "Selenium", "Melatonin"]
sw = 1.6
for i, s in enumerate(supps):
    x = 0.3 + i*sw
    add_rr(slide, x, 6.42, sw-0.07, 0.42, LIGHT_BLUE, DEEP_BLUE, 0.5)
    add_tb(slide, x+0.05, 6.44, sw-0.17, 0.36, s, 9.5, bold=True,
           color=DEEP_BLUE, align=PP_ALIGN.CENTER)


# ══════════════════════════════════════════════════════════════
# SLIDE 9 — GARBHINI PARICHARYA (AYURVEDIC PREVENTION)
# ══════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
slide_bg(slide, CREAM)
header_bar(slide, "Ayurvedic Prevention: Garbhini Paricharya",
           "Masanumasika Chikitsa — month-wise regimen from Charaka, Sushruta, Ashtanga Sangraha", DEEP_GREEN)
divider(slide, color=GOLD)
footer(slide)

# Timeline months 1-9
months = [
    ("M1", "Cold milk\n(Sheeta Ksheera)", DEEP_BLUE),
    ("M2", "Sweet liquid\n+ Shatavari milk", MID_GREEN),
    ("M3", "Milk + Ghee\n+ Honey (unequal)", DEEP_BLUE),
    ("M4", "Butter + Rice\n+ Hridya fruits", MID_GREEN),
    ("M5", "Rakta Vardhak\n(Pomegranate, Amla)", RED_ACCENT),
    ("M6", "Gokshura Ghrita\n+ Rice kanji", DEEP_GREEN),
    ("M7", "Ghee +\nRasayana herbs", MID_BLUE),
    ("M8", "Ksheera Yavagu\n(milk-rice-ghee)", ORANGE),
    ("M9", "Light cereals\n+ Basti prep", DEEP_GREEN),
]

mw = 1.4
for i, (m, diet, col) in enumerate(months):
    x = 0.25 + i*1.45
    add_rr(slide, x, 1.3, mw, 1.85, LIGHT_GREEN if i%2==0 else LIGHT_BLUE, col, 1)
    add_rect(slide, x, 1.3, mw, 0.42, col)
    add_tb(slide, x+0.05, 1.32, mw-0.1, 0.38, m, 14, bold=True, color=WHITE, align=PP_ALIGN.CENTER)
    add_tb(slide, x+0.05, 1.78, mw-0.1, 1.3, diet, 9, color=DARK_GRAY, align=PP_ALIGN.CENTER)

# Three pillars
pillars = [
    ("AAHARA\n(Diet)", 
     ["Sweet, cooling, liquid base\nthroughout pregnancy",
      "Milk + Ghee: Vata-pacifying;\nnourishes Rasa Dhatu",
      "Hridya fruits: heart-nourishing;\nrich in K, lycopene",
      "Rakta Vardhak foods in 5th month:\npomegranate, amla, spinach",
      "Low salt, low sour, no heavy\nfried foods throughout"],
     DEEP_GREEN, LIGHT_GREEN),
    ("VIHARA\n(Lifestyle)",
     ["Gentle yoga + Pranayama:\nBhramari, Nadi Shodhana",
      "Avoid: Bhukta Divasvapna\n(day sleep after meals)",
      "Proper night sleep:\nVata-Kapha balance",
      "Anuvasana Basti (medicated enema)\n7th-9th month: Apana Vata",
      "Avoid: Chinta (anxiety),\nAlpa Vyayama (sedentary)"],
     DEEP_BLUE, LIGHT_BLUE),
    ("AUSHADHA\n(Medicines)",
     ["Preconception: Shatavari,\nAshwagandha Rasayana",
      "Monthly Masanumasika\nAushadha (classical formulations)",
      "Gokshura Siddha Ghrita\n(6th-8th month: anti-edema)",
      "Haridra (turmeric) daily:\ncurcumin antioxidant",
      "All herbs under qualified\nAyurveda physician supervision"],
     ORANGE, RGBColor(0xFF,0xF0,0xCC)),
]

for i, (title, pts, col, bg) in enumerate(pillars):
    x = 0.28 + i*4.35
    add_rr(slide, x, 3.3, 4.22, 3.5, bg, col, 1.5)
    add_rect(slide, x, 3.3, 4.22, 0.55, col)
    add_tb(slide, x+0.1, 3.32, 4.02, 0.51, title, 14, bold=True,
           color=WHITE, align=PP_ALIGN.CENTER)
    y_p = 3.93
    for pt in pts:
        add_tb(slide, x+0.15, y_p, 3.9, 0.52, "• " + pt, 9.5, color=DARK_GRAY)
        y_p += 0.56


# ══════════════════════════════════════════════════════════════
# SLIDE 10 — HERBS: AYURVEDIC VS MODERN EVIDENCE
# ══════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
slide_bg(slide, WHITE)
header_bar(slide, "Key Herbs: Bridging Ayurvedic Action & Modern Evidence",
           "Selected herbs with both classical Ayurvedic indications and emerging scientific validation", DARK_GRAY)
divider(slide)
footer(slide)

herbs = [
    ("Shatavari", "Asparagus\nracemosus",
     "Rasayana, Stanya,\nRakta Shodhak,\nGarbhasthapaka",
     "Antioxidant phytochemicals;\nvasculoprotective;\nshown active in PE\nanimal models",
     "All 9 months", DEEP_GREEN),
    ("Gokshura", "Tribulus\nterrestris",
     "Mutral (diuretic),\nVata-Pitta hara,\nShotha hara",
     "Nephroprotective;\ndiuretic; reduces\nproteinuria and\nBP in studies",
     "Months 5-8", MID_BLUE),
    ("Haridra", "Curcuma\nlonga",
     "Pitta-Kapha hara,\nRakta Shodhak,\nAma nashak",
     "Curcumin: reduces\nsFlt-1 elevation;\nanti-inflammatory;\nantioxidant",
     "Months 4-9", ORANGE),
    ("Ashwagandha", "Withania\nsomnifera",
     "Rasayana, Balya,\nVata hara,\nOjas vardhak",
     "Reduces oxidative\nstress; withanolides\nanti-inflammatory;\nstress adaptation",
     "Preconception;\nMonths 6-8", RED_ACCENT),
    ("Punarnava", "Boerhavia\ndiffusa",
     "Shotha hara,\nKapha-Vata hara,\nMutravaha cleaner",
     "Diuretic; reduces\nedema; renal\nprotection;\nBP-lowering",
     "Months 6-8", MID_GREEN),
    ("Manjishtha", "Rubia\ncordifolia",
     "Rakta Shodhak,\nPitta hara,\nAnti-Raktadusti",
     "Anti-inflammatory;\nanti-thrombotic;\npurifies endothelium\nvia antioxidants",
     "Months 2-5", DEEP_BLUE),
]

cols_per_row = 3
hw = 4.3
hh = 2.35
for i, (name, latin, ayurv, modern, timing, col) in enumerate(herbs):
    row = i // cols_per_row
    ci  = i %  cols_per_row
    x = 0.3 + ci * 4.35
    y = 1.3 + row * 2.45
    add_rr(slide, x, y, hw, hh, LIGHT_GRAY, col, 1)
    # Header
    add_rect(slide, x, y, hw, 0.5, col)
    add_tb(slide, x+0.1, y+0.02, hw*0.55, 0.46, name, 13, bold=True, color=WHITE)
    add_tb(slide, x+hw*0.55, y+0.06, hw*0.44, 0.38, latin, 9, color=WHITE, italic=True)
    # Two columns inside
    mid = x + hw/2
    add_rect(slide, x, y+0.5, hw/2, 0.26, LIGHT_GREEN if row==0 else LIGHT_BLUE)
    add_tb(slide, x+0.05, y+0.5, hw/2-0.1, 0.26, "Ayurvedic Action", 8, bold=True, color=DEEP_GREEN)
    add_rect(slide, mid, y+0.5, hw/2, 0.26, LIGHT_BLUE)
    add_tb(slide, mid+0.05, y+0.5, hw/2-0.1, 0.26, "Modern Evidence", 8, bold=True, color=DEEP_BLUE)
    add_tb(slide, x+0.08, y+0.8, hw/2-0.15, 1.45, ayurv, 9, color=DARK_GRAY)
    add_tb(slide, mid+0.08, y+0.8, hw/2-0.15, 1.45, modern, 9, color=DARK_GRAY)
    # Timing tag
    add_rr(slide, x+hw-1.55, y+hh-0.32, 1.5, 0.28, col, col, 0)
    add_tb(slide, x+hw-1.5, y+hh-0.31, 1.45, 0.26, timing, 7.5, bold=True, color=WHITE, align=PP_ALIGN.CENTER)


# ══════════════════════════════════════════════════════════════
# SLIDE 11 — DIETARY PARALLELS
# ══════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
slide_bg(slide, CREAM)
header_bar(slide, "Dietary Parallels: Masanumasika Pathya ↔ Modern Evidence",
           "Ancient Ayurvedic dietary prescriptions align with contemporary nutritional science", DARK_GRAY)
divider(slide, color=GOLD)
footer(slide)

# Header row
add_rect(slide, 0.3, 1.25, 4.0, 0.42, DEEP_GREEN)
add_tb(slide, 0.3, 1.27, 4.0, 0.38, "Ayurvedic Prescription", 12, bold=True,
       color=WHITE, align=PP_ALIGN.CENTER)
add_rect(slide, 4.45, 1.25, 2.5, 0.42, GOLD)
add_tb(slide, 4.45, 1.27, 2.5, 0.38, "Active Component", 12, bold=True,
       color=WHITE, align=PP_ALIGN.CENTER)
add_rect(slide, 7.1, 1.25, 2.8, 0.42, DEEP_BLUE)
add_tb(slide, 7.1, 1.27, 2.8, 0.38, "Modern Nutrient", 12, bold=True,
       color=WHITE, align=PP_ALIGN.CENTER)
add_rect(slide, 10.05, 1.25, 3.0, 0.42, RED_ACCENT)
add_tb(slide, 10.05, 1.27, 3.0, 0.38, "PIH-Prevention Role", 12, bold=True,
       color=WHITE, align=PP_ALIGN.CENTER)

parallels = [
    ("Sheeta Ksheera (cold cow's milk)\ndaily throughout pregnancy",
     "Calcium, protein,\nvitamin D, tryptophan",
     "Calcium 1000-1500 mg\n+ Vitamin D 600-2000 IU",
     "Prevents spiral artery\nvasoconstriction; reduces\nPE risk by ~50%"),
    ("Navanita (fresh butter from milk)\nmonths 4-5",
     "Butyrate, fat-soluble\nvitamins A/D/K2",
     "Vitamin D, K2,\nshort-chain fatty acids",
     "Immune tolerance;\nendothelial protection;\ncoagulation balance"),
    ("Ghrita (clarified butter/ghee)\nthroughout pregnancy",
     "Omega-3/6 fatty acids,\nCLA, fat-soluble vitamins",
     "Omega-3 DHA, anti-\ninflammatory fats",
     "Reduces thromboxane/\nPGI2 imbalance; anti-\ninflammatory mechanism"),
    ("Pomegranate, Amla, Guava,\nSpinach (5th month Rakta Vardhak)",
     "Iron, folate, Vit C,\nlycopene, antioxidants",
     "Iron 27 mg + Folate\n+ Lycopene",
     "Prevents anemia;\nsupports angiogenesis;\nreduces sFlt-1 levels"),
    ("Gokshura Siddha Ghrita\n(months 6-8)",
     "Tribulus alkaloids,\nflavonoids, diuretic",
     "Natural diuretic;\nnephroprotective",
     "Reduces edema (Shotha);\nprotects glomerular\nfunction"),
    ("Coconut water, fruit juices\n(Drava Aahara = liquid diet)",
     "Potassium, magnesium,\nnatural electrolytes",
     "Potassium 3500 mg\n+ Magnesium 350 mg",
     "Vasodilation; reduces\nBP; prevents electrolyte\nimbalance"),
]

rh = 0.82
for i, (ay, comp, mod, role) in enumerate(parallels):
    y = 1.72 + i*rh
    bg = LIGHT_GREEN if i%2==0 else WHITE
    add_rect(slide, 0.3, y, 13.0, rh-0.04, bg)
    add_tb(slide, 0.35, y+0.05, 3.9, rh-0.15, ay, 9.5, color=DARK_GRAY)
    add_tb(slide, 4.47, y+0.05, 2.45, rh-0.15, comp, 9.5, color=MED_GRAY, align=PP_ALIGN.CENTER)
    add_tb(slide, 7.12, y+0.05, 2.75, rh-0.15, mod, 9.5, color=DARK_GRAY)
    add_tb(slide, 10.07, y+0.05, 2.95, rh-0.15, role, 9.5, color=DARK_GRAY)


# ══════════════════════════════════════════════════════════════
# SLIDE 12 — INTEGRATED MANAGEMENT MODEL
# ══════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
slide_bg(slide, WHITE)
header_bar(slide, "Integrated Management Model",
           "Combining Ayurvedic wisdom with modern evidence for optimal PIH prevention", DARK_GRAY)
divider(slide)
footer(slide)

# Central circle
cx, cy = 6.667, 4.1
add_rr(slide, cx-1.5, cy-0.9, 3.0, 1.8,
       RGBColor(0xFF,0xF5,0xE0), GOLD, 2)
add_tb(slide, cx-1.4, cy-0.65, 2.8, 1.3,
       "OPTIMAL\nPIH PREVENTION\n& HEALTHY\nPREGNANCY",
       10, bold=True, color=DARK_GRAY, align=PP_ALIGN.CENTER)

# Surrounding nodes - alternating Ayurveda / Modern
nodes = [
    (2.5, 1.45, "PRECONCEPTION\nCARE", "Panchakarma shodhana\n+ Rasayana (Shatavari,\nAshwagandha)", DEEP_GREEN, LIGHT_GREEN),
    (8.8, 1.45, "NUTRITIONAL\nSUPPLEMENTS", "Calcium 1200-1500 mg\nVitamin D 1000-2000 IU\nFolate 400-800 mcg", DEEP_BLUE, LIGHT_BLUE),
    (1.0, 3.7, "GARBHINI\nPARICHARYA", "Masanumasika diet\nmonth-by-month\nAushadha + Basti", DEEP_GREEN, LIGHT_GREEN),
    (10.3, 3.7, "PHARMACOLOGICAL", "Low-dose aspirin\n75-150 mg/day\n(before 16 wks, high risk)", DEEP_BLUE, LIGHT_BLUE),
    (2.5, 6.0, "YOGA &\nPRANAYAMA", "Bhramari, Nadi Shodhana\nReduce Vata imbalance\nand cortisol/BP", MID_GREEN, LIGHT_GREEN),
    (8.8, 6.0, "MONITORING &\nOBSTETRIC CARE", "BP + urine protein checks\nuterine artery Doppler\ndelivery planning", MID_BLUE, LIGHT_BLUE),
]

for nx, ny, title, desc, col, bg in nodes:
    add_rr(slide, nx-1.35, ny-0.55, 2.7, 1.55, bg, col, 1.5)
    add_rect(slide, nx-1.35, ny-0.55, 2.7, 0.4, col)
    add_tb(slide, nx-1.25, ny-0.53, 2.5, 0.36, title, 9.5, bold=True, color=WHITE, align=PP_ALIGN.CENTER)
    add_tb(slide, nx-1.25, ny-0.08, 2.5, 1.1, desc, 8.5, color=DARK_GRAY, align=PP_ALIGN.CENTER)
    # Line to centre
    ln = slide.shapes.add_connector(MSO_CONNECTOR.STRAIGHT,
         Inches(nx), Inches(ny), Inches(cx), Inches(cy))
    ln.line.color.rgb = col
    ln.line.width = Pt(1)
    ln.line.dash_style = 4  # dashed

# Legend
add_rr(slide, 5.2, 7.0, 1.8, 0.38, LIGHT_GREEN, DEEP_GREEN, 1)
add_tb(slide, 5.22, 7.02, 1.76, 0.34, "Ayurvedic", 10, bold=True, color=DEEP_GREEN, align=PP_ALIGN.CENTER)
add_rr(slide, 7.1, 7.0, 1.8, 0.38, LIGHT_BLUE, DEEP_BLUE, 1)
add_tb(slide, 7.12, 7.02, 1.76, 0.34, "Modern", 10, bold=True, color=DEEP_BLUE, align=PP_ALIGN.CENTER)


# ══════════════════════════════════════════════════════════════
# SLIDE 13 — EVIDENCE STATUS & FUTURE DIRECTIONS
# ══════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
slide_bg(slide, WHITE)
header_bar(slide, "Evidence Status & Future Research Directions",
           "Current strength of evidence and what needs to be established", DEEP_BLUE)
divider(slide)
footer(slide)

# Evidence traffic light
add_tb(slide, 0.3, 1.3, 12.7, 0.38, "Evidence Strength Summary", 13, bold=True, color=DEEP_BLUE)

ev_items = [
    ("Calcium supplementation\n(1000-1500 mg/day) for PE prevention",
     "STRONG", DEEP_GREEN, "Multiple RCTs + Meta-analysis;\n~50% risk reduction (PMID 36352102)"),
    ("Low-dose aspirin in high-risk women\n(before 16 weeks)",
     "STRONG", DEEP_GREEN, "Level A evidence; ACOG/NICE guidelines;\nNNT = 18 to prevent 1 PE case"),
    ("DASH dietary pattern adherence\nduring pregnancy",
     "MODERATE", ORANGE, "35-45% risk reduction in observational\nstudies; few RCTs (PMC 2025 review)"),
    ("Vitamin D supplementation\n600-2000 IU/day",
     "EMERGING", MID_BLUE, "Inconsistent RCT results;\npromising mechanism (PMID 39930022)"),
    ("Shatavari, Ashwagandha, Gokshura\nin PIH prevention",
     "PRECLINICAL", ORANGE, "Animal models only; human clinical\ntrials very limited (PMC 12637229)"),
    ("Garbhini Paricharya regimen\nfor PIH prevention",
     "TRADITIONAL/\nOBSERVATIONAL", RED_ACCENT, "Classical textual evidence + observational\ndata; no formal RCTs yet"),
]

rh = 0.78
for i, (item, level, col, evidence) in enumerate(ev_items):
    y = 1.75 + i*rh
    add_rr(slide, 0.3, y, 5.8, rh-0.05, LIGHT_GRAY, col, 0.5)
    add_tb(slide, 0.42, y+0.1, 5.55, rh-0.2, item, 10, color=DARK_GRAY)
    add_rr(slide, 6.25, y+0.1, 1.8, rh-0.25, col, col, 0)
    add_tb(slide, 6.27, y+0.12, 1.76, rh-0.3, level, 9, bold=True,
           color=WHITE, align=PP_ALIGN.CENTER)
    add_tb(slide, 8.2, y+0.1, 4.85, rh-0.2, evidence, 9.5, color=MED_GRAY)

# Future directions
add_rr(slide, 0.3, 6.6, 12.7, 0.75, LIGHT_BLUE, DEEP_BLUE, 1)
add_tb(slide, 0.45, 6.63, 2.5, 0.35, "Future Research Needs:", 11, bold=True, color=DEEP_BLUE)
future_text = ("RCTs on Ayurvedic herbal formulations in PIH  |  "
               "Biomarker studies correlating Dosha imbalance with sFlt-1/PlGF ratio  |  "
               "Standardized Garbhini Paricharya protocol validation  |  "
               "Integrative clinical trial combining Gokshura + calcium + aspirin")
add_tb(slide, 0.45, 6.98, 12.4, 0.34, future_text, 9, color=DARK_GRAY)


# ══════════════════════════════════════════════════════════════
# SLIDE 14 — KEY TAKEAWAYS / CONCLUSION
# ══════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(BLANK)
add_rect(slide, 0, 0, 13.333, 7.5, DEEP_GREEN)
add_rect(slide, 0, 0, 13.333, 0.18, GOLD)
add_rect(slide, 0, 7.32, 13.333, 0.18, GOLD)

add_tb(slide, 0.5, 0.25, 12.3, 0.65,
       "Key Takeaways & Conclusion", 28, bold=True, color=WHITE, align=PP_ALIGN.CENTER)
add_rect(slide, 3.5, 0.95, 6.3, 0.05, GOLD)

takeaways = [
    ("01", "Convergent Pathways",
     "Ayurveda and modern medicine describe the same pathological cascade through different frameworks — "
     "Apana Vata Vikruti = spiral artery failure; Kapha Srotorodha = endothelial dysfunction; Ama = anti-angiogenic factors."),
    ("02", "Dietary Wisdom Validated",
     "Classical Masanumasika Pathya prescriptions — milk (calcium), ghee (omega-3), pomegranate/amla (iron + antioxidants), "
     "Gokshura (diuretic/nephroprotective) — align precisely with modern PIH-prevention evidence."),
    ("03", "Evidence Gaps Remain",
     "Ayurvedic herbal interventions show promise in preclinical models but lack large-scale human RCTs. "
     "Calcium and aspirin remain the only interventions with strong Level A clinical evidence."),
    ("04", "Integrated Care is the Future",
     "Combining Garbhini Paricharya (preconception to delivery), modern supplementation (calcium, Vit D, aspirin), "
     "DASH diet principles, and regular obstetric monitoring offers the most holistic approach to PIH prevention."),
    ("05", "Safety First",
     "All Ayurvedic herbs in pregnancy must be supervised by a qualified Vaidya/BAMS physician. "
     "Modern obstetric management (BP monitoring, MgSO4, timely delivery) remains non-negotiable in established PE."),
]

for i, (num, title, body) in enumerate(takeaways):
    y = 1.15 + i*1.2
    add_rr(slide, 0.5, y, 12.3, 1.1, RGBColor(0x1F,0x6B,0x44), GOLD, 0.5)
    add_rect(slide, 0.5, y, 0.72, 1.1, GOLD)
    add_tb(slide, 0.52, y+0.28, 0.68, 0.54, num, 18, bold=True, color=DEEP_GREEN, align=PP_ALIGN.CENTER)
    add_tb(slide, 1.3, y+0.07, 3.0, 0.42, title, 12, bold=True, color=GOLD)
    add_tb(slide, 1.3, y+0.5, 11.1, 0.56, body, 9.5, color=RGBColor(0xE0,0xFF,0xE8))

add_tb(slide, 0.5, 7.1, 12.3, 0.3,
       "Sources: Charaka Samhita, Sushruta Samhita, Robbins Pathology | PMID 36352102 | PMID 39930022 | PMC 12637229 | IJAPR 2616",
       8, color=LIGHT_GREEN, italic=True, align=PP_ALIGN.CENTER)

# ─── SAVE ──────────────────────────────────────────────────────
out_path = "/tmp/workspace/preeclampsia-ppt/Ayurveda_vs_Modern_PreEclampsia_Prevention.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)}")