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.util import Inches, Pt
import copy

# ─── COLOUR PALETTE ───────────────────────────────────────────────────────────
C_NAVY     = RGBColor(0x1A, 0x37, 0x5E)  # dark navy
C_TEAL     = RGBColor(0x00, 0x8B, 0x8B)  # dark teal
C_ORANGE   = RGBColor(0xE8, 0x6B, 0x1A)  # accent orange
C_LTBLUE   = RGBColor(0xD6, 0xE8, 0xF5)  # light blue fill
C_LTGRAY   = RGBColor(0xF2, 0xF4, 0xF7)  # light gray bg
C_WHITE    = RGBColor(0xFF, 0xFF, 0xFF)
C_DARK     = RGBColor(0x1E, 0x1E, 0x2E)  # near-black text
C_GREEN    = RGBColor(0x21, 0x7A, 0x3C)  # green
C_RED      = RGBColor(0xC0, 0x39, 0x2B)  # red

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_rgb=None, line_rgb=None, line_width_pt=0):
    from pptx.util import Pt
    shape = slide.shapes.add_shape(
        1,  # MSO_SHAPE_TYPE.RECTANGLE
        Inches(x), Inches(y), Inches(w), Inches(h)
    )
    fill = shape.fill
    if fill_rgb:
        fill.solid()
        fill.fore_color.rgb = fill_rgb
    else:
        fill.background()
    line = shape.line
    if line_rgb:
        line.color.rgb = line_rgb
        line.width = Pt(line_width_pt)
    else:
        line.fill.background()
    return shape

def add_textbox(slide, x, y, w, h, text, fontsize=18, bold=False, color=C_DARK,
                align=PP_ALIGN.LEFT, wrap=True, italic=False, font_name="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 = Pt(0)
    tf.margin_right = Pt(0)
    tf.margin_top = Pt(0)
    tf.margin_bottom = Pt(0)
    p = tf.paragraphs[0]
    p.alignment = align
    run = p.add_run()
    run.text = text
    run.font.name = font_name
    run.font.size = Pt(fontsize)
    run.font.bold = bold
    run.font.italic = italic
    run.font.color.rgb = color
    return tb

def add_bullet_textbox(slide, x, y, w, h, items, fontsize=14, title=None,
                       title_size=16, title_color=C_NAVY, bullet_color=C_DARK,
                       bg=None, padding=0.12, line_spacing=1.2):
    """Add a box with optional title and bullet list."""
    if bg:
        add_rect(slide, x, y, w, h, fill_rgb=bg)
    tb = slide.shapes.add_textbox(
        Inches(x + padding), Inches(y + padding),
        Inches(w - 2*padding), Inches(h - 2*padding)
    )
    tf = tb.text_frame
    tf.word_wrap = True
    tf.margin_left = Pt(2)
    tf.margin_right = Pt(2)
    tf.margin_top = Pt(2)
    tf.margin_bottom = Pt(2)
    first = True
    if title:
        p = tf.paragraphs[0] if first else tf.add_paragraph()
        first = False
        r = p.add_run()
        r.text = title
        r.font.name = "Calibri"
        r.font.bold = True
        r.font.size = Pt(title_size)
        r.font.color.rgb = title_color
        p.alignment = PP_ALIGN.LEFT
    for item in items:
        p = tf.paragraphs[0] if first else tf.add_paragraph()
        first = False
        p.alignment = PP_ALIGN.LEFT
        from pptx.oxml.ns import qn
        from lxml import etree
        pPr = p._pPr if p._pPr is not None else p._p.get_or_add_pPr()
        buChar = etree.SubElement(pPr, qn('a:buChar'))
        buChar.set('char', '●')
        r = p.add_run()
        r.text = "  " + item
        r.font.name = "Calibri"
        r.font.size = Pt(fontsize)
        r.font.color.rgb = bullet_color
    return tb


# ═══════════════════════════════════════════════════════════════════════════════
# SLIDE 1 — TITLE SLIDE
# ═══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank)

# Full-bleed navy background
add_rect(slide, 0, 0, 13.333, 7.5, fill_rgb=C_NAVY)

# Teal accent bar left
add_rect(slide, 0, 0, 0.4, 7.5, fill_rgb=C_TEAL)

# Orange accent stripe
add_rect(slide, 0.4, 3.05, 12.933, 0.08, fill_rgb=C_ORANGE)

# Subtitle label
add_textbox(slide, 0.7, 1.2, 12, 0.7,
            "COMMUNITY MEDICINE SEMINAR SERIES",
            fontsize=14, bold=False, color=C_ORANGE,
            align=PP_ALIGN.LEFT, font_name="Calibri")

# Main title
add_textbox(slide, 0.7, 1.9, 12, 1.5,
            "AIR POLLUTION:",
            fontsize=52, bold=True, color=C_WHITE,
            align=PP_ALIGN.LEFT, font_name="Calibri")

add_textbox(slide, 0.7, 3.2, 12, 1.1,
            "Pathogenesis & Health Impact",
            fontsize=38, bold=False, color=C_LTBLUE,
            align=PP_ALIGN.LEFT, font_name="Calibri")

# Divider line
add_rect(slide, 0.7, 4.45, 4.0, 0.04, fill_rgb=C_ORANGE)

# Tagline
add_textbox(slide, 0.7, 4.6, 12, 0.5,
            "Sources  ●  Pollutants  ●  Mechanisms  ●  Disease Burden  ●  Prevention",
            fontsize=13, bold=False, color=RGBColor(0xA8, 0xC4, 0xE0),
            align=PP_ALIGN.LEFT, font_name="Calibri")

add_textbox(slide, 0.7, 5.4, 12, 0.4,
            "Based on Park's Textbook of Preventive & Social Medicine | Murray & Nadel's Respiratory Medicine",
            fontsize=11, bold=False, color=RGBColor(0x80, 0xA0, 0xC0),
            align=PP_ALIGN.LEFT, font_name="Calibri")


# ═══════════════════════════════════════════════════════════════════════════════
# SLIDE 2 — DEFINITION & OVERVIEW
# ═══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank)
add_rect(slide, 0, 0, 13.333, 7.5, fill_rgb=C_LTGRAY)
add_rect(slide, 0, 0, 13.333, 1.05, fill_rgb=C_NAVY)
add_rect(slide, 0, 1.05, 13.333, 0.07, fill_rgb=C_TEAL)

add_textbox(slide, 0.4, 0.15, 12.5, 0.8,
            "DEFINITION & OVERVIEW",
            fontsize=28, bold=True, color=C_WHITE,
            align=PP_ALIGN.LEFT, font_name="Calibri")

# Definition box
add_rect(slide, 0.4, 1.3, 12.5, 1.5, fill_rgb=C_NAVY, line_rgb=C_TEAL, line_width_pt=1.5)
add_textbox(slide, 0.55, 1.35, 12.2, 1.4,
            "\"Air pollution signifies the presence in the ambient atmosphere of substances — gases, "
            "mixtures of gases and particulate matter — generated by human activities in concentrations "
            "that interfere with human health, safety or comfort, or injurious to vegetation, animals "
            "and other environmental media.\"",
            fontsize=13, bold=False, color=C_WHITE, italic=True,
            align=PP_ALIGN.LEFT, font_name="Calibri")

# 3 columns
cols = [
    ("Primary\nPollutants", "Emitted directly from sources: factory chimneys, exhaust pipes, wind-suspended dust", C_TEAL),
    ("Secondary\nPollutants", "Formed within the atmosphere via chemical reactions (e.g. Ozone from NOx + hydrocarbons in sunlight)", C_ORANGE),
    ("Particulate\nMatter (PM)", "Solid/liquid particles suspended in air. PM2.5 (<2.5 μm) most hazardous — penetrates deep alveoli", C_GREEN),
]
for i, (title, body, col) in enumerate(cols):
    xpos = 0.4 + i * 4.3
    add_rect(slide, xpos, 3.0, 4.1, 3.8, fill_rgb=C_WHITE, line_rgb=col, line_width_pt=2)
    add_rect(slide, xpos, 3.0, 4.1, 0.55, fill_rgb=col)
    add_textbox(slide, xpos+0.1, 3.03, 3.9, 0.5, title,
                fontsize=14, bold=True, color=C_WHITE,
                align=PP_ALIGN.CENTER, font_name="Calibri")
    add_textbox(slide, xpos+0.15, 3.65, 3.8, 3.0, body,
                fontsize=13, bold=False, color=C_DARK,
                align=PP_ALIGN.LEFT, font_name="Calibri")

# Page number
add_textbox(slide, 12.5, 7.15, 0.7, 0.3, "2", fontsize=10, color=C_TEAL, align=PP_ALIGN.RIGHT)


# ═══════════════════════════════════════════════════════════════════════════════
# SLIDE 3 — SOURCES OF AIR POLLUTION
# ═══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank)
add_rect(slide, 0, 0, 13.333, 7.5, fill_rgb=C_LTGRAY)
add_rect(slide, 0, 0, 13.333, 1.05, fill_rgb=C_NAVY)
add_rect(slide, 0, 1.05, 13.333, 0.07, fill_rgb=C_ORANGE)

add_textbox(slide, 0.4, 0.15, 12.5, 0.8,
            "SOURCES OF AIR POLLUTION",
            fontsize=28, bold=True, color=C_WHITE,
            align=PP_ALIGN.LEFT, font_name="Calibri")

sources = [
    ("🚗  Automobiles", "Motor vehicles emit hydrocarbons, CO, lead, NOx & PM.\nDiesel engines produce black smoke & malodorous fumes.\nIn sunlight, NOx + hydrocarbons → photochemical smog (ozone)", C_ORANGE),
    ("🏭  Industries", "Combustion of fuel → smoke, SO₂, NOx, fly ash.\nPetrochemical: HF, HCl, organic halides.\nReleased from high chimneys at high temperature.", C_NAVY),
    ("🏠  Domestic", "Coal, wood, biomass burning → smoke, CO, SO₂.\nMajor source in developing countries / rural areas.\nCooking fires: indoor PM2.5 levels far exceed outdoor.", C_TEAL),
    ("🌱  Natural", "Volcanic eruptions, dust storms, forest fires, pollen.\nContribute to background PM & SO₂ levels.\nOften exacerbated by human land-use changes.", C_GREEN),
    ("☢️  Radioactive", "Radon gas from soil/rocks, nuclear facilities.\nBeta/gamma-emitting particles from fallout.\nIndoor accumulation in poorly ventilated buildings.", C_RED),
    ("🌾  Agricultural", "Ammonia from fertilizers & livestock → PM2.5.\nPesticide spraying releases VOCs.\nCrop residue burning — major seasonal PM spike.", RGBColor(0x80, 0x40, 0x10)),
]

for i, (title, body, col) in enumerate(sources):
    row, c = divmod(i, 3)
    xpos = 0.3 + c * 4.35
    ypos = 1.3 + row * 2.9
    add_rect(slide, xpos, ypos, 4.1, 2.6, fill_rgb=C_WHITE, line_rgb=col, line_width_pt=2)
    add_rect(slide, xpos, ypos, 4.1, 0.5, fill_rgb=col)
    add_textbox(slide, xpos+0.1, ypos+0.04, 3.9, 0.45, title,
                fontsize=13, bold=True, color=C_WHITE,
                align=PP_ALIGN.LEFT, font_name="Calibri")
    add_textbox(slide, xpos+0.12, ypos+0.58, 3.85, 1.9, body,
                fontsize=11.5, bold=False, color=C_DARK,
                align=PP_ALIGN.LEFT, font_name="Calibri")

add_textbox(slide, 12.5, 7.15, 0.7, 0.3, "3", fontsize=10, color=C_ORANGE, align=PP_ALIGN.RIGHT)


# ═══════════════════════════════════════════════════════════════════════════════
# SLIDE 4 — KEY POLLUTANTS
# ═══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank)
add_rect(slide, 0, 0, 13.333, 7.5, fill_rgb=C_LTGRAY)
add_rect(slide, 0, 0, 13.333, 1.05, fill_rgb=C_NAVY)
add_rect(slide, 0, 1.05, 13.333, 0.07, fill_rgb=C_TEAL)

add_textbox(slide, 0.4, 0.15, 12.5, 0.8,
            "KEY AIR POLLUTANTS & THEIR EFFECTS",
            fontsize=28, bold=True, color=C_WHITE,
            align=PP_ALIGN.LEFT, font_name="Calibri")

pollutants = [
    ("SO₂\nSulphur Dioxide", "Combustion of fossil fuels.\nForms H₂SO₄ (acid rain).\nBronchospasm, mucus hypersecretion.", C_RED),
    ("NO₂\nNitrogen Dioxide", "Vehicle exhaust, power plants.\nPrecursor to ozone & smog.\nAirway inflammation, reduced lung function.", C_ORANGE),
    ("CO\nCarbon Monoxide", "Incomplete combustion.\nBinds Hb (COHb) — tissue hypoxia.\nCNS effects, cardiac ischaemia.", C_NAVY),
    ("O₃\nOzone", "Secondary pollutant from NOx + HC.\nOxidant — damages airway epithelium.\nExacerbates asthma/COPD.", C_TEAL),
    ("PM2.5\nFine Particles", "Deep alveolar deposition.\nSystemic inflammation, oxidative stress.\nCardiovascular & lung cancer risk.", C_RED),
    ("Pb  Lead", "Leaded petrol, paint, smelters.\nNeurotoxic — IQ loss in children.\nCritical route: air → food chain.", RGBColor(0x55, 0x00, 0x88)),
    ("Benzene\n& VOCs", "Petrol vapour, paints, solvents.\nCarcinogenic — leukaemia risk.\nMucous membrane irritants.", RGBColor(0x80, 0x40, 0x00)),
    ("Radon", "Soil/rock decay (U-238).\nIndoor accumulation in basements.\nLeading cause of lung cancer in non-smokers.", C_GREEN),
]

for i, (pollutant, detail, col) in enumerate(pollutants):
    row, c = divmod(i, 4)
    xpos = 0.25 + c * 3.26
    ypos = 1.28 + row * 2.88
    add_rect(slide, xpos, ypos, 3.1, 2.6, fill_rgb=C_WHITE, line_rgb=col, line_width_pt=1.5)
    add_rect(slide, xpos, ypos, 3.1, 0.68, fill_rgb=col)
    add_textbox(slide, xpos+0.08, ypos+0.05, 2.95, 0.6, pollutant,
                fontsize=12, bold=True, color=C_WHITE,
                align=PP_ALIGN.LEFT, font_name="Calibri")
    add_textbox(slide, xpos+0.1, ypos+0.72, 2.9, 1.8, detail,
                fontsize=11, bold=False, color=C_DARK,
                align=PP_ALIGN.LEFT, font_name="Calibri")

add_textbox(slide, 12.5, 7.15, 0.7, 0.3, "4", fontsize=10, color=C_TEAL, align=PP_ALIGN.RIGHT)


# ═══════════════════════════════════════════════════════════════════════════════
# SLIDE 5 — PATHOGENESIS (MECHANISTIC OVERVIEW)
# ═══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank)
add_rect(slide, 0, 0, 13.333, 7.5, fill_rgb=C_LTGRAY)
add_rect(slide, 0, 0, 13.333, 1.05, fill_rgb=C_NAVY)
add_rect(slide, 0, 1.05, 13.333, 0.07, fill_rgb=C_RED)

add_textbox(slide, 0.4, 0.15, 12.5, 0.8,
            "PATHOGENESIS — MECHANISTIC OVERVIEW",
            fontsize=28, bold=True, color=C_WHITE,
            align=PP_ALIGN.LEFT, font_name="Calibri")

# Flow diagram — horizontal cascade
steps = [
    ("INHALATION\nEXPOSURE", "Gases, PM2.5,\nOzone, SO₂,\nNO₂", C_NAVY),
    ("DEPOSITION\nIN AIRWAY", "Upper tract:\nwater-soluble gases\nAlveoli: PM <2.5μm", C_TEAL),
    ("OXIDATIVE\nSTRESS", "ROS overwhelm\nantioxidant defenses\n(SOD, catalase, GSH)", C_ORANGE),
    ("INFLAMMATION", "NF-κB activation\nCytokines, chemokines\nNeutrophil influx", C_RED),
    ("TISSUE\nDAMAGE", "Epithelial injury\nAirway remodelling\nSystemic effects", RGBColor(0x7B, 0x00, 0x7B)),
]

box_w = 2.1
box_h = 3.2
arrow_w = 0.35
total_used = len(steps) * box_w + (len(steps)-1) * arrow_w
start_x = (13.333 - total_used) / 2

for i, (title, body, col) in enumerate(steps):
    xpos = start_x + i * (box_w + arrow_w)
    ypos = 1.7
    # Box
    add_rect(slide, xpos, ypos, box_w, box_h, fill_rgb=col)
    add_textbox(slide, xpos+0.08, ypos+0.12, box_w-0.16, 0.65, title,
                fontsize=12, bold=True, color=C_WHITE,
                align=PP_ALIGN.CENTER, font_name="Calibri")
    # Divider
    add_rect(slide, xpos+0.08, ypos+0.78, box_w-0.16, 0.04, fill_rgb=C_WHITE)
    add_textbox(slide, xpos+0.1, ypos+0.88, box_w-0.2, 2.15, body,
                fontsize=11, bold=False, color=C_WHITE,
                align=PP_ALIGN.LEFT, font_name="Calibri")
    # Arrow (not after last)
    if i < len(steps) - 1:
        ax = xpos + box_w + 0.02
        ay = ypos + box_h/2 - 0.1
        add_textbox(slide, ax, ay, arrow_w, 0.35,
                    "►", fontsize=22, bold=True, color=C_NAVY,
                    align=PP_ALIGN.CENTER, font_name="Calibri")

# Bottom note
add_rect(slide, 0.4, 5.1, 12.5, 1.9, fill_rgb=C_WHITE, line_rgb=C_NAVY, line_width_pt=1)
add_textbox(slide, 0.55, 5.18, 12.2, 1.75,
            "Phase 2 Response: When oxidant burden is great, excess ROS activate Nrf2 transcription factor → upregulates "
            "heme oxygenase-1, glutathione-S-transferase, catalase, superoxide dismutase & glutathione peroxidase. "
            "If Phase 2 fails → lipid peroxidation, protein oxidation, DNA damage → apoptosis. "
            "Proinflammatory cascades upregulate IL-6, IL-8, TNF-α, ICAM-1 → systemic vascular inflammation.",
            fontsize=11.5, bold=False, color=C_DARK,
            align=PP_ALIGN.LEFT, font_name="Calibri")

add_textbox(slide, 12.5, 7.15, 0.7, 0.3, "5", fontsize=10, color=C_RED, align=PP_ALIGN.RIGHT)


# ═══════════════════════════════════════════════════════════════════════════════
# SLIDE 6 — RESPIRATORY PATHOGENESIS (detailed)
# ═══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank)
add_rect(slide, 0, 0, 13.333, 7.5, fill_rgb=C_LTGRAY)
add_rect(slide, 0, 0, 13.333, 1.05, fill_rgb=C_NAVY)
add_rect(slide, 0, 1.05, 13.333, 0.07, fill_rgb=C_TEAL)

add_textbox(slide, 0.4, 0.15, 12.5, 0.8,
            "RESPIRATORY PATHOGENESIS IN DETAIL",
            fontsize=28, bold=True, color=C_WHITE,
            align=PP_ALIGN.LEFT, font_name="Calibri")

# Left column — Obstructive
add_rect(slide, 0.3, 1.25, 6.1, 5.95, fill_rgb=C_WHITE, line_rgb=C_TEAL, line_width_pt=2)
add_rect(slide, 0.3, 1.25, 6.1, 0.55, fill_rgb=C_TEAL)
add_textbox(slide, 0.4, 1.28, 5.9, 0.48, "OBSTRUCTIVE LUNG DISEASE (COPD / Asthma)",
            fontsize=13, bold=True, color=C_WHITE, align=PP_ALIGN.LEFT, font_name="Calibri")

copd_items = [
    "SO₂ & NO₂ → airway hyperresponsiveness & bronchoconstriction",
    "PM2.5 inhaled → alveolar macrophage activation → MMP release → elastin/collagen destruction (emphysema)",
    "Chronic neutrophilic/eosinophilic airway inflammation → mucus gland hypertrophy (chronic bronchitis)",
    "PM triggers mast cell degranulation → IgE-mediated asthma exacerbation",
    "Ozone (O₃): direct oxidant → ciliary damage → impaired mucociliary clearance → ↑ infection susceptibility",
    "Repeated exposure → airway wall remodelling, irreversible obstruction (↓ FEV₁/FVC)",
]
tb = slide.shapes.add_textbox(Inches(0.42), Inches(1.9), Inches(5.86), Inches(5.1))
tf = tb.text_frame
tf.word_wrap = True
from lxml import etree
from pptx.oxml.ns import qn
first = True
for item in copd_items:
    p = tf.paragraphs[0] if first else tf.add_paragraph()
    first = False
    pPr = p._p.get_or_add_pPr()
    buChar = etree.SubElement(pPr, qn('a:buChar'))
    buChar.set('char', '▸')
    r = p.add_run()
    r.text = "  " + item
    r.font.name = "Calibri"
    r.font.size = Pt(11.5)
    r.font.color.rgb = C_DARK

# Right column — Lung Cancer / Cardiovascular
add_rect(slide, 6.7, 1.25, 6.3, 2.95, fill_rgb=C_WHITE, line_rgb=C_RED, line_width_pt=2)
add_rect(slide, 6.7, 1.25, 6.3, 0.55, fill_rgb=C_RED)
add_textbox(slide, 6.82, 1.28, 6.06, 0.48, "LUNG CANCER",
            fontsize=13, bold=True, color=C_WHITE, align=PP_ALIGN.LEFT, font_name="Calibri")
lung_items = [
    "PAHs, benzene, nitrosamines → DNA adduct formation → oncogene activation (KRAS, EGFR mutations)",
    "Chronic oxidative stress → DNA strand breaks → TP53 mutations",
    "PM2.5 → epigenetic changes, global methylation shifts",
    "IARC Group 1 carcinogen: outdoor air pollution causes lung cancer",
]
tb2 = slide.shapes.add_textbox(Inches(6.82), Inches(1.9), Inches(6.06), Inches(2.1))
tf2 = tb2.text_frame
tf2.word_wrap = True
first = True
for item in lung_items:
    p = tf2.paragraphs[0] if first else tf2.add_paragraph()
    first = False
    pPr = p._p.get_or_add_pPr()
    buChar = etree.SubElement(pPr, qn('a:buChar'))
    buChar.set('char', '▸')
    r = p.add_run()
    r.text = "  " + item
    r.font.name = "Calibri"
    r.font.size = Pt(11.5)
    r.font.color.rgb = C_DARK

# Right bottom — Cardiovascular
add_rect(slide, 6.7, 4.38, 6.3, 2.82, fill_rgb=C_WHITE, line_rgb=C_ORANGE, line_width_pt=2)
add_rect(slide, 6.7, 4.38, 6.3, 0.55, fill_rgb=C_ORANGE)
add_textbox(slide, 6.82, 4.41, 6.06, 0.48, "CARDIOVASCULAR PATHOGENESIS",
            fontsize=13, bold=True, color=C_WHITE, align=PP_ALIGN.LEFT, font_name="Calibri")
cvd_items = [
    "PM2.5 enters systemic circulation → endothelial dysfunction, ↑CRP, fibrinogen",
    "Autonomic imbalance: ↑sympathetic tone → ↑HR, hypertension",
    "Accelerated atherosclerosis via oxidised LDL & foam cell formation",
    "Acute ischaemic events: plaque rupture & thrombosis triggered by PM2.5 peaks",
]
tb3 = slide.shapes.add_textbox(Inches(6.82), Inches(5.02), Inches(6.06), Inches(1.95))
tf3 = tb3.text_frame
tf3.word_wrap = True
first = True
for item in cvd_items:
    p = tf3.paragraphs[0] if first else tf3.add_paragraph()
    first = False
    pPr = p._p.get_or_add_pPr()
    buChar = etree.SubElement(pPr, qn('a:buChar'))
    buChar.set('char', '▸')
    r = p.add_run()
    r.text = "  " + item
    r.font.name = "Calibri"
    r.font.size = Pt(11.5)
    r.font.color.rgb = C_DARK

add_textbox(slide, 12.5, 7.15, 0.7, 0.3, "6", fontsize=10, color=C_TEAL, align=PP_ALIGN.RIGHT)


# ═══════════════════════════════════════════════════════════════════════════════
# SLIDE 7 — HEALTH EFFECTS (DISEASE BURDEN)
# ═══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank)
add_rect(slide, 0, 0, 13.333, 7.5, fill_rgb=C_LTGRAY)
add_rect(slide, 0, 0, 13.333, 1.05, fill_rgb=C_NAVY)
add_rect(slide, 0, 1.05, 13.333, 0.07, fill_rgb=C_GREEN)

add_textbox(slide, 0.4, 0.15, 12.5, 0.8,
            "HEALTH EFFECTS & DISEASE BURDEN",
            fontsize=28, bold=True, color=C_WHITE,
            align=PP_ALIGN.LEFT, font_name="Calibri")

# Stats boxes at top
stats = [
    ("7 million", "deaths/year\nattributable to air\npollution (WHO)", C_RED),
    ("PM2.5 ↑10μg/m³", "+~6% CVD mortality\n+~8% lung cancer\nrisk (meta-analyses)", C_ORANGE),
    ("15–20%", "higher mortality\nin high-pollution\ncities vs clean cities", C_NAVY),
    ("IARC 2013", "Declared outdoor air\npollution as Group 1\nHuman Carcinogen", C_TEAL),
]
for i, (val, label, col) in enumerate(stats):
    xpos = 0.3 + i * 3.2
    add_rect(slide, xpos, 1.28, 3.0, 1.8, fill_rgb=col)
    add_textbox(slide, xpos+0.1, 1.32, 2.8, 0.75, val,
                fontsize=24, bold=True, color=C_WHITE,
                align=PP_ALIGN.CENTER, font_name="Calibri")
    add_textbox(slide, xpos+0.1, 2.0, 2.8, 0.9, label,
                fontsize=11, bold=False, color=C_WHITE,
                align=PP_ALIGN.CENTER, font_name="Calibri")

# Effect categories
effects = [
    ("Respiratory", [
        "Asthma exacerbations",
        "COPD progression",
        "Chronic bronchitis",
        "Acute lower respiratory infections (children)",
        "Impaired lung development in children",
    ], C_TEAL),
    ("Cardiovascular", [
        "Ischaemic heart disease",
        "Stroke",
        "Arrhythmias / sudden cardiac death",
        "Hypertension",
        "Heart failure exacerbations",
    ], C_ORANGE),
    ("Systemic / Other", [
        "Lung & bladder cancer",
        "Adverse pregnancy outcomes (LBW, preterm)",
        "Neurotoxicity (lead: IQ loss in children)",
        "Type 2 diabetes mellitus",
        "Cognitive decline / dementia",
    ], C_NAVY),
]

for i, (category, items, col) in enumerate(effects):
    xpos = 0.3 + i * 4.35
    add_rect(slide, xpos, 3.25, 4.1, 3.95, fill_rgb=C_WHITE, line_rgb=col, line_width_pt=2)
    add_rect(slide, xpos, 3.25, 4.1, 0.48, fill_rgb=col)
    add_textbox(slide, xpos+0.1, 3.28, 3.9, 0.42, category,
                fontsize=13, bold=True, color=C_WHITE,
                align=PP_ALIGN.LEFT, font_name="Calibri")
    tb = slide.shapes.add_textbox(Inches(xpos+0.12), Inches(3.82), Inches(3.86), Inches(3.25))
    tf = tb.text_frame
    tf.word_wrap = True
    first = True
    for item in items:
        p = tf.paragraphs[0] if first else tf.add_paragraph()
        first = False
        pPr = p._p.get_or_add_pPr()
        buChar = etree.SubElement(pPr, qn('a:buChar'))
        buChar.set('char', '●')
        r = p.add_run()
        r.text = "  " + item
        r.font.name = "Calibri"
        r.font.size = Pt(12)
        r.font.color.rgb = C_DARK

add_textbox(slide, 12.5, 7.15, 0.7, 0.3, "7", fontsize=10, color=C_GREEN, align=PP_ALIGN.RIGHT)


# ═══════════════════════════════════════════════════════════════════════════════
# SLIDE 8 — INDOOR AIR POLLUTION
# ═══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank)
add_rect(slide, 0, 0, 13.333, 7.5, fill_rgb=C_LTGRAY)
add_rect(slide, 0, 0, 13.333, 1.05, fill_rgb=C_NAVY)
add_rect(slide, 0, 1.05, 13.333, 0.07, fill_rgb=C_ORANGE)

add_textbox(slide, 0.4, 0.15, 12.5, 0.8,
            "INDOOR AIR POLLUTION",
            fontsize=28, bold=True, color=C_WHITE,
            align=PP_ALIGN.LEFT, font_name="Calibri")

# Intro banner
add_rect(slide, 0.3, 1.25, 12.7, 0.75, fill_rgb=C_NAVY, line_rgb=C_ORANGE, line_width_pt=1)
add_textbox(slide, 0.5, 1.3, 12.3, 0.65,
            "People spend >90% of time indoors. Indoor air often 2–5× more polluted than outdoor. "
            "Solid fuel combustion (biomass, coal) is the leading indoor pollution source globally.",
            fontsize=12, bold=False, color=C_WHITE,
            align=PP_ALIGN.LEFT, font_name="Calibri")

# Left panel
add_rect(slide, 0.3, 2.18, 6.0, 5.05, fill_rgb=C_WHITE, line_rgb=C_TEAL, line_width_pt=1.5)
add_rect(slide, 0.3, 2.18, 6.0, 0.52, fill_rgb=C_TEAL)
add_textbox(slide, 0.42, 2.21, 5.76, 0.46, "INDOOR POLLUTANT SOURCES",
            fontsize=13, bold=True, color=C_WHITE, align=PP_ALIGN.LEFT, font_name="Calibri")

indoor_sources = [
    "Biomass/coal combustion: CO, PM2.5, PAHs, formaldehyde",
    "Tobacco smoke: >70 carcinogens incl. benzene, NNK, arsenic",
    "Radon: from soil/rocks, ↑ lung cancer risk (non-smokers)",
    "Building materials: formaldehyde (MDF), asbestos, VOCs from paints",
    "Mould/biological contaminants: triggers allergic inflammation",
    "Pesticides: organophosphates — respiratory & CNS toxicity",
    "Carbon monoxide from gas stoves/heaters: ↓ COHb oxygen-carrying capacity",
]
tb = slide.shapes.add_textbox(Inches(0.42), Inches(2.82), Inches(5.76), Inches(4.2))
tf = tb.text_frame; tf.word_wrap = True
first = True
for item in indoor_sources:
    p = tf.paragraphs[0] if first else tf.add_paragraph()
    first = False
    pPr = p._p.get_or_add_pPr()
    buChar = etree.SubElement(pPr, qn('a:buChar'))
    buChar.set('char', '▸')
    r = p.add_run()
    r.text = "  " + item
    r.font.name = "Calibri"
    r.font.size = Pt(11.5)
    r.font.color.rgb = C_DARK

# Right panel
add_rect(slide, 6.7, 2.18, 6.3, 5.05, fill_rgb=C_WHITE, line_rgb=C_RED, line_width_pt=1.5)
add_rect(slide, 6.7, 2.18, 6.3, 0.52, fill_rgb=C_RED)
add_textbox(slide, 6.82, 2.21, 6.06, 0.46, "HEALTH CONSEQUENCES",
            fontsize=13, bold=True, color=C_WHITE, align=PP_ALIGN.LEFT, font_name="Calibri")

indoor_health = [
    "Acute lower respiratory infections — leading cause of child mortality in LMICs",
    "COPD: indoor solid fuel use → 2–3× risk (women, non-smokers)",
    "Lung cancer: radon — attributable fraction ~10% of all lung cancer deaths",
    "Cardiovascular disease: CO & PM cause myocardial stress",
    "Adverse birth outcomes: LBW, stillbirth from chronic CO exposure",
    "Eye diseases: smoke irritation, corneal damage (biomass users)",
    "Musculoskeletal: carried firewood; burns from open fires",
]
tb2 = slide.shapes.add_textbox(Inches(6.82), Inches(2.82), Inches(6.06), Inches(4.2))
tf2 = tb2.text_frame; tf2.word_wrap = True
first = True
for item in indoor_health:
    p = tf2.paragraphs[0] if first else tf2.add_paragraph()
    first = False
    pPr = p._p.get_or_add_pPr()
    buChar = etree.SubElement(pPr, qn('a:buChar'))
    buChar.set('char', '▸')
    r = p.add_run()
    r.text = "  " + item
    r.font.name = "Calibri"
    r.font.size = Pt(11.5)
    r.font.color.rgb = C_DARK

add_textbox(slide, 12.5, 7.15, 0.7, 0.3, "8", fontsize=10, color=C_ORANGE, align=PP_ALIGN.RIGHT)


# ═══════════════════════════════════════════════════════════════════════════════
# SLIDE 9 — WHO AQG & MEASUREMENT
# ═══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank)
add_rect(slide, 0, 0, 13.333, 7.5, fill_rgb=C_LTGRAY)
add_rect(slide, 0, 0, 13.333, 1.05, fill_rgb=C_NAVY)
add_rect(slide, 0, 1.05, 13.333, 0.07, fill_rgb=C_TEAL)

add_textbox(slide, 0.4, 0.15, 12.5, 0.8,
            "WHO AIR QUALITY GUIDELINES (AQG 2005/2021)",
            fontsize=28, bold=True, color=C_WHITE,
            align=PP_ALIGN.LEFT, font_name="Calibri")

# Table header
add_rect(slide, 0.3, 1.25, 12.7, 0.55, fill_rgb=C_NAVY)
for col_info in [
    (0.3, 2.5, "POLLUTANT"),
    (2.8, 2.8, "AQG VALUE"),
    (5.6, 2.5, "AVERAGING TIME"),
    (8.1, 2.0, "BASIS FOR LIMIT"),
    (10.1, 2.9, "HEALTH CONCERN"),
]:
    x, w, label = col_info
    add_textbox(slide, x+0.1, 1.28, w-0.15, 0.46, label,
                fontsize=11, bold=True, color=C_WHITE,
                align=PP_ALIGN.LEFT, font_name="Calibri")

rows = [
    ("PM2.5", "10 μg/m³ (annual)\n25 μg/m³ (24-hr)", "Annual / 24-hr", "Cardiovascular & respiratory mortality — no safe threshold", C_LTGRAY),
    ("PM10", "20 μg/m³ (annual)\n50 μg/m³ (24-hr)", "Annual / 24-hr", "Respiratory hospital admissions, COPD exacerbations", C_WHITE),
    ("NO₂", "40 μg/m³ (annual)\n200 μg/m³ (1-hr)", "Annual / 1-hr", "Airway inflammation, ↑ asthma exacerbations", C_LTGRAY),
    ("SO₂", "500 μg/m³ (10-min)\n350 μg/m³ (1-hr)", "10-min / 1-hr", "Bronchoconstriction, especially in asthmatics", C_WHITE),
    ("Ozone", "100 μg/m³ (8-hr)\n150-200 μg/m³ (1-hr)", "8-hr / 1-hr", "Lung damage, reduced FEV₁, premature death", C_LTGRAY),
    ("CO", "10 mg/m³ (8-hr)\n100 mg/m³ (15-min)", "8-hr / 15-min", "Tissue hypoxia, cardiac ischaemia, neurotoxicity", C_WHITE),
    ("Lead", "0.5–1.0 μg/m³", "Annual", "Neurotoxicity (children), CVD, renal effects", C_LTGRAY),
]
row_h = 0.7
for i, (pollutant, value, time, basis, bg) in enumerate(rows):
    ypos = 1.8 + i * row_h
    add_rect(slide, 0.3, ypos, 12.7, row_h, fill_rgb=bg)
    add_textbox(slide, 0.4, ypos+0.06, 2.35, row_h-0.1, pollutant,
                fontsize=11, bold=True, color=C_NAVY,
                align=PP_ALIGN.LEFT, font_name="Calibri")
    add_textbox(slide, 2.9, ypos+0.04, 2.65, row_h-0.06, value,
                fontsize=10.5, bold=False, color=C_DARK,
                align=PP_ALIGN.LEFT, font_name="Calibri")
    add_textbox(slide, 5.65, ypos+0.06, 2.4, row_h-0.1, time,
                fontsize=10.5, bold=False, color=C_DARK,
                align=PP_ALIGN.LEFT, font_name="Calibri")
    add_textbox(slide, 8.15, ypos+0.04, 4.8, row_h-0.06, basis,
                fontsize=10, bold=False, color=C_DARK,
                align=PP_ALIGN.LEFT, font_name="Calibri")

# Border around table
add_rect(slide, 0.3, 1.25, 12.7, 1.8 + len(rows)*row_h - 1.25,
         fill_rgb=None, line_rgb=C_NAVY, line_width_pt=1.5)

add_textbox(slide, 12.5, 7.15, 0.7, 0.3, "9", fontsize=10, color=C_TEAL, align=PP_ALIGN.RIGHT)


# ═══════════════════════════════════════════════════════════════════════════════
# SLIDE 10 — SCALE & TRANSPORT
# ═══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank)
add_rect(slide, 0, 0, 13.333, 7.5, fill_rgb=C_LTGRAY)
add_rect(slide, 0, 0, 13.333, 1.05, fill_rgb=C_NAVY)
add_rect(slide, 0, 1.05, 13.333, 0.07, fill_rgb=C_GREEN)

add_textbox(slide, 0.4, 0.15, 12.5, 0.8,
            "SPATIAL SCALE & TRANSPORT OF POLLUTANTS",
            fontsize=28, bold=True, color=C_WHITE,
            align=PP_ALIGN.LEFT, font_name="Calibri")

scales = [
    ("LOCAL\n(Metres–Km)", "Household biomass burning\nRoad-side traffic\nAtmospheric lifetime: minutes–hours\nPollutants: PM, CO, NO₂, SO₂",
     "Poorly controlled neighbourhood\nsources; burning of biomass fuels\ncommon in developing countries.", C_RED),
    ("URBAN\n(City-wide)", "Vehicle exhaust, industry stacks\nAtmospheric lifetime: hours\nHigh conc. throughout city\nPollutants: NO, CO, VOCs",
     "Urban populations continuously\nexposed; hotspots near arterials,\nindustrial zones, waste-burning sites.", C_ORANGE),
    ("REGIONAL\n(100s–1000s km)", "Fine PM (<2.5μm) & ozone\nAtmospheric lifetime: days–weeks\nLong-range transport across borders\nAcid rain: SO₂ → H₂SO₄",
     "Ozone crosses national boundaries.\nWhitehorse Protocol covers SO₂\nand transboundary pollution.", C_TEAL),
    ("GLOBAL\n(Hemispheric)", "CO₂, N₂O, CH₄, CFCs\nAtmospheric lifetime: years–centuries\nGreenhouse warming effect\nOzone layer depletion",
     "Climate change amplifies pollution:\nheatwaves ↑ ozone; wildfires ↑ PM;\nlonger allergy seasons.", C_NAVY),
]
for i, (title, body1, body2, col) in enumerate(scales):
    xpos = 0.3 + i * 3.25
    add_rect(slide, xpos, 1.28, 3.0, 3.5, fill_rgb=col)
    add_textbox(slide, xpos+0.1, 1.32, 2.8, 0.7, title,
                fontsize=13, bold=True, color=C_WHITE,
                align=PP_ALIGN.CENTER, font_name="Calibri")
    add_rect(slide, xpos+0.08, 2.02, 2.84, 0.04, fill_rgb=C_WHITE)
    add_textbox(slide, xpos+0.1, 2.1, 2.8, 2.5, body1,
                fontsize=11, bold=False, color=C_WHITE,
                align=PP_ALIGN.LEFT, font_name="Calibri")
    add_rect(slide, xpos, 4.9, 3.0, 2.3, fill_rgb=C_WHITE, line_rgb=col, line_width_pt=1.5)
    add_textbox(slide, xpos+0.1, 4.95, 2.8, 2.1, body2,
                fontsize=11, bold=False, color=C_DARK,
                align=PP_ALIGN.LEFT, font_name="Calibri")

add_textbox(slide, 12.5, 7.15, 0.7, 0.3, "10", fontsize=10, color=C_GREEN, align=PP_ALIGN.RIGHT)


# ═══════════════════════════════════════════════════════════════════════════════
# SLIDE 11 — CONTROL MEASURES
# ═══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank)
add_rect(slide, 0, 0, 13.333, 7.5, fill_rgb=C_LTGRAY)
add_rect(slide, 0, 0, 13.333, 1.05, fill_rgb=C_NAVY)
add_rect(slide, 0, 1.05, 13.333, 0.07, fill_rgb=C_GREEN)

add_textbox(slide, 0.4, 0.15, 12.5, 0.8,
            "CONTROL MEASURES & PREVENTION",
            fontsize=28, bold=True, color=C_WHITE,
            align=PP_ALIGN.LEFT, font_name="Calibri")

# 3 levels of intervention
interventions = [
    ("POLICY /\nLEGISLATIVE", [
        "Clean Air Acts — national ambient air quality standards (NAAQS)",
        "Vehicle emission norms (BS-VI / Euro 6)",
        "Mandatory EIA for new industries",
        "WHO AQG implementation & monitoring networks",
        "International: UNEP, WHO Global Action Plan on Air Pollution",
        "Phase-out of leaded petrol (achieved globally by 2021)",
    ], C_NAVY),
    ("TECHNICAL /\nENGINEERING", [
        "Catalytic converters, diesel particulate filters in vehicles",
        "Electrostatic precipitators & scrubbers in industry",
        "Tall stacks with dispersion modelling",
        "Transition to clean energy: solar, wind, hydro, nuclear",
        "Improved cook stoves / LPG substitution for biomass",
        "Green building design with ventilation & HEPA filtration",
    ], C_TEAL),
    ("COMMUNITY /\nINDIVIDUAL", [
        "Air Quality Index (AQI) dissemination & public alerts",
        "N95/P100 respirator use during pollution episodes",
        "Indoor plants & air purifiers (HEPA) for indoor protection",
        "Avoid outdoor exercise during high PM2.5/ozone days",
        "School health programs on clean cooking fuel adoption",
        "Avoid crop residue burning; promote composting",
    ], C_GREEN),
]

for i, (title, items, col) in enumerate(interventions):
    xpos = 0.3 + i * 4.35
    add_rect(slide, xpos, 1.28, 4.1, 5.95, fill_rgb=C_WHITE, line_rgb=col, line_width_pt=2)
    add_rect(slide, xpos, 1.28, 4.1, 0.7, fill_rgb=col)
    add_textbox(slide, xpos+0.1, 1.3, 3.9, 0.66, title,
                fontsize=13, bold=True, color=C_WHITE,
                align=PP_ALIGN.CENTER, font_name="Calibri")
    tb = slide.shapes.add_textbox(Inches(xpos+0.15), Inches(2.08), Inches(3.8), Inches(5.0))
    tf = tb.text_frame; tf.word_wrap = True
    first = True
    for item in items:
        p = tf.paragraphs[0] if first else tf.add_paragraph()
        first = False
        pPr = p._p.get_or_add_pPr()
        buChar = etree.SubElement(pPr, qn('a:buChar'))
        buChar.set('char', '✓')
        r = p.add_run()
        r.text = "  " + item
        r.font.name = "Calibri"
        r.font.size = Pt(11.5)
        r.font.color.rgb = C_DARK

add_textbox(slide, 12.5, 7.15, 0.7, 0.3, "11", fontsize=10, color=C_GREEN, align=PP_ALIGN.RIGHT)


# ═══════════════════════════════════════════════════════════════════════════════
# SLIDE 12 — VULNERABLE POPULATIONS
# ═══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank)
add_rect(slide, 0, 0, 13.333, 7.5, fill_rgb=C_LTGRAY)
add_rect(slide, 0, 0, 13.333, 1.05, fill_rgb=C_NAVY)
add_rect(slide, 0, 1.05, 13.333, 0.07, fill_rgb=C_RED)

add_textbox(slide, 0.4, 0.15, 12.5, 0.8,
            "VULNERABLE POPULATIONS & EQUITY",
            fontsize=28, bold=True, color=C_WHITE,
            align=PP_ALIGN.LEFT, font_name="Calibri")

groups = [
    ("👶 Children", [
        "Developing lungs — high ventilation/kg BW",
        "Impaired lung growth → ↓ peak lung function",
        "Lead: neurotoxicity, IQ loss, learning disabilities",
        "Acute RTI — major cause of child mortality",
    ], C_TEAL),
    ("🤰 Pregnant\nWomen", [
        "Transplacental transfer of CO, Pb, PAHs",
        "Low birth weight, preterm delivery, stillbirth",
        "Intrauterine growth restriction",
        "Placental oxidative stress & inflammation",
    ], C_ORANGE),
    ("👴 Elderly", [
        "Pre-existing COPD/CHD amplifies risk",
        "↓ antioxidant reserves & immune response",
        "PM2.5 → acute hospital admissions",
        "Higher case-fatality from pollution episodes",
    ], C_NAVY),
    ("💊 Pre-existing\nDisease", [
        "Asthmatics: SO₂, NO₂, O₃ trigger attacks",
        "COPD patients: PM exacerbates breathlessness",
        "IHD: PM2.5 → plaque destabilization, arrhythmia",
        "Diabetics: impaired detoxification pathways",
    ], C_RED),
    ("🏚 Socioeconomic\nDisadvantage", [
        "Reside near industrial/traffic zones",
        "Biomass cooking → constant indoor exposure",
        "No access to healthcare or clean alternatives",
        "Disproportionate burden in LMICs & slums",
    ], C_GREEN),
]

for i, (group, items, col) in enumerate(groups):
    row, c = divmod(i, 3)
    if i < 3:
        xpos = 0.3 + c * 4.35
        ypos = 1.28
    else:
        xpos = 1.6 + (i-3) * 4.35
        ypos = 4.48
    add_rect(slide, xpos, ypos, 4.1, 2.95, fill_rgb=C_WHITE, line_rgb=col, line_width_pt=2)
    add_rect(slide, xpos, ypos, 4.1, 0.55, fill_rgb=col)
    add_textbox(slide, xpos+0.1, ypos+0.06, 3.9, 0.46, group,
                fontsize=13, bold=True, color=C_WHITE,
                align=PP_ALIGN.LEFT, font_name="Calibri")
    tb = slide.shapes.add_textbox(Inches(xpos+0.12), Inches(ypos+0.65), Inches(3.86), Inches(2.2))
    tf = tb.text_frame; tf.word_wrap = True
    first = True
    for item in items:
        p = tf.paragraphs[0] if first else tf.add_paragraph()
        first = False
        pPr = p._p.get_or_add_pPr()
        buChar = etree.SubElement(pPr, qn('a:buChar'))
        buChar.set('char', '▸')
        r = p.add_run()
        r.text = "  " + item
        r.font.name = "Calibri"
        r.font.size = Pt(11)
        r.font.color.rgb = C_DARK

add_textbox(slide, 12.5, 7.15, 0.7, 0.3, "12", fontsize=10, color=C_RED, align=PP_ALIGN.RIGHT)


# ═══════════════════════════════════════════════════════════════════════════════
# SLIDE 13 — SUMMARY / KEY TAKEAWAYS
# ═══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank)
add_rect(slide, 0, 0, 13.333, 7.5, fill_rgb=C_NAVY)
add_rect(slide, 0, 0, 0.4, 7.5, fill_rgb=C_TEAL)
add_rect(slide, 0.4, 1.1, 12.933, 0.07, fill_rgb=C_ORANGE)

add_textbox(slide, 0.7, 0.2, 12, 0.85,
            "KEY TAKEAWAYS",
            fontsize=32, bold=True, color=C_WHITE,
            align=PP_ALIGN.LEFT, font_name="Calibri")

takeaways = [
    ("1", "Air pollution is a global public health emergency — 7 million deaths/year; no safe lower threshold for PM2.5.", C_ORANGE),
    ("2", "Pathogenesis centres on ROS-driven oxidative stress → NF-κB activation → systemic inflammation → "
          "respiratory, cardiovascular and carcinogenic endpoints.", C_TEAL),
    ("3", "PM2.5 is the most hazardous fraction — penetrates alveoli, crosses into systemic circulation, "
          "triggers endothelial dysfunction and atherosclerosis.", C_GREEN),
    ("4", "Indoor air pollution (biomass combustion) causes acute RTIs in children and COPD/lung cancer in women — "
          "disproportionate burden in LMICs.", C_ORANGE),
    ("5", "Effective control requires multilevel intervention: legislation (AQG), engineering (clean energy, "
          "catalytic converters) and community education.", C_TEAL),
    ("6", "Vulnerable groups — children, pregnant women, elderly, low SES — require targeted protective policies "
          "and access to clean cooking fuel alternatives.", C_GREEN),
]

for i, (num, text, col) in enumerate(takeaways):
    ypos = 1.3 + i * 0.98
    add_rect(slide, 0.7, ypos, 0.52, 0.72, fill_rgb=col)
    add_textbox(slide, 0.72, ypos+0.1, 0.48, 0.55, num,
                fontsize=22, bold=True, color=C_DARK,
                align=PP_ALIGN.CENTER, font_name="Calibri")
    add_textbox(slide, 1.35, ypos+0.1, 11.6, 0.65, text,
                fontsize=13, bold=False, color=C_WHITE,
                align=PP_ALIGN.LEFT, font_name="Calibri")

# Reference line
add_textbox(slide, 0.7, 7.12, 12, 0.3,
            "Sources: Park's Textbook of Preventive & Social Medicine (24th ed.)  ●  Murray & Nadel's Textbook of Respiratory Medicine  "
            "●  WHO Air Quality Guidelines 2005/2021",
            fontsize=9.5, bold=False, color=RGBColor(0x80, 0xA0, 0xC0),
            align=PP_ALIGN.LEFT, font_name="Calibri")

# Save
out_path = "/tmp/workspace/air-pollution-pptx/Air_Pollution_Pathogenesis_Community_Medicine.pptx"
prs.save(out_path)
print(f"Saved: {out_path}")