Sabhi bacteria ke naam gram POS gram neg ana.anty. pse. Ki naam ki list aur konse bacteria se konsa disease aur use bacteria ka naam bhi do hinglish me

Reading File

Finding Sources

Reading File

Finding Sources

Reading File

Finding Sources

Ab mere paas kaafi information hai. Comprehensive Hinglish answer likhta hoon.

🦠 Bacteria ki Complete List - Gram +ve, Gram -ve, Anaerobic, Pseudomonas

(Hinglish mein - Medical Microbiology textbooks se)

✅ GRAM POSITIVE (+ve) BACTERIA

Gram positive bacteria purple colour lete hain Gram stain mein - kyunki inki cell wall mein thick peptidoglycan layer hoti hai.

🔵 GRAM POSITIVE COCCI (Round-shaped bacteria)

Bacteria ka Naam	Shape/Arrangement	Causes Disease (Bimari)
Staphylococcus aureus	Cocci in clusters (angoor jaisi)	Skin infection (furuncle, carbuncle), pneumonia, food poisoning, toxic shock syndrome, osteomyelitis, endocarditis, bacteremia
Staphylococcus epidermidis	Cocci in clusters	Prosthetic valve endocarditis, catheter-related infection (hospital-acquired)
Staphylococcus saprophyticus	Cocci	UTI (urinary tract infection) - specially young women mein
Streptococcus pyogenes (Group A Strep)	Cocci in chains	Strep throat (tonsillitis), scarlet fever, rheumatic fever, impetigo, necrotizing fasciitis
Streptococcus pneumoniae	Cocci in pairs (diplococci)	Lobar pneumonia, meningitis, otitis media, sinusitis
Streptococcus agalactiae (Group B Strep)	Cocci in chains	Neonatal meningitis, neonatal sepsis, postpartum infection
Streptococcus viridans	Cocci in chains	Dental caries, subacute bacterial endocarditis
Streptococcus mutans	Cocci	Dental caries (daant ki sadhan)
Enterococcus faecalis	Cocci in pairs/chains	UTI, endocarditis, peritonitis, wound infection
Enterococcus faecium	Cocci in pairs/chains	UTI, hospital-acquired infections (VRE - vancomycin resistant)

🔵 GRAM POSITIVE BACILLI (Rod-shaped bacteria)

Bacteria ka Naam	Type	Causes Disease (Bimari)
Bacillus anthracis	Spore-forming rod	Anthrax - skin (cutaneous), lungs (inhalation), GI
Bacillus cereus	Spore-forming rod	Food poisoning (chawal khane ke baad)
Clostridium tetani	Anaerobic spore-forming	Tetanus (lock jaw - janhe ki bimari)
Clostridium botulinum	Anaerobic spore-forming	Botulism (paralysis, tinned food se)
Clostridium perfringens	Anaerobic spore-forming	Gas gangrene, food poisoning
Clostridium difficile	Anaerobic spore-forming	C. diff colitis (antibiotic lene ke baad diarrhea)
Listeria monocytogenes	Non-spore-forming rod	Listeriosis - pregnant women, neonates mein meningitis
Corynebacterium diphtheriae	Rod (club-shaped)	Diphtheria (gale mein jhilli banna)
Mycobacterium tuberculosis	Acid-fast bacillus	Tuberculosis (TB)
Mycobacterium leprae	Acid-fast bacillus	Leprosy (Kushtha rog)
Nocardia	Filamentous, acid-fast	Pulmonary nocardiosis, brain abscess (immunocompromised mein)
Actinomyces israelii	Filamentous	Actinomycosis (jaw/lung/abdomen abscess)
Propionibacterium acnes	Rod	Acne (muhase)

❌ GRAM NEGATIVE (-ve) BACTERIA

Gram negative bacteria pink/red colour lete hain - kyunki inki cell wall mein thin peptidoglycan + outer membrane (LPS) hoti hai.

🔴 GRAM NEGATIVE COCCI

Bacteria ka Naam	Shape	Causes Disease (Bimari)
Neisseria meningitidis	Diplococci (pairs)	Bacterial meningitis, meningococcemia, septicemia
Neisseria gonorrhoeae	Diplococci (pairs)	Gonorrhea (sexually transmitted infection), PID, neonatal ophthalmia
Moraxella catarrhalis	Diplococci	Otitis media, sinusitis, COPD exacerbation

🔴 GRAM NEGATIVE BACILLI (Rods) - Enterobacteriaceae Family

Bacteria ka Naam	Causes Disease (Bimari)
Escherichia coli (E. coli)	UTI (sabse common cause), neonatal meningitis, traveler's diarrhea, HUS (hemolytic uremic syndrome)
Klebsiella pneumoniae	Pneumonia (currant jelly sputum), UTI, liver abscess
Salmonella typhi	Typhoid fever (Typhoid)
Salmonella (non-typhi)	Gastroenteritis (food poisoning/diarrhea)
Shigella dysenteriae	Dysentery (pechish) - bloody diarrhea
Proteus mirabilis	UTI, kidney stones (struvite)
Enterobacter cloacae	Hospital-acquired pneumonia, UTI, wound infections
Serratia marcescens	Nosocomial (hospital) pneumonia, UTI, red-pigmented
Yersinia pestis	Plague (bubonic plague)
Yersinia enterocolitica	Gastroenteritis, mesenteric lymphadenitis

🔴 GRAM NEGATIVE BACILLI - Other Important Ones

Bacteria ka Naam	Causes Disease (Bimari)
Haemophilus influenzae	Meningitis (children mein), epiglottitis, otitis media, pneumonia
Haemophilus ducreyi	Chancroid (genital ulcer)
Bordetella pertussis	Whooping cough (Kaali khansi)
Vibrio cholerae	Cholera (Haizia) - rice-water diarrhea
Vibrio vulnificus	Wound infection (seawater), septicemia
Campylobacter jejuni	Gastroenteritis, Guillain-Barre syndrome trigger
Helicobacter pylori	Peptic ulcer disease, gastric cancer
Brucella spp.	Brucellosis (animal exposure se undulant fever)
Francisella tularensis	Tularemia (rabbit fever)
Legionella pneumophila	Legionnaire's disease (atypical pneumonia, AC se)
Acinetobacter baumannii	Hospital-acquired pneumonia, wound infections, meningitis (drug-resistant)
Stenotrophomonas maltophilia	Nosocomial infections, pneumonia

🟡 PSEUDOMONAS aur Related Bacteria

Pseudomonas ek special non-fermenting gram negative bacillus hai - bahut antibiotic resistant hota hai.

Bacteria ka Naam	Characteristics	Causes Disease (Bimari)
Pseudomonas aeruginosa	Blue-green pigment (pyocyanin), fruity smell, mucoid	Hospital pneumonia (ventilator-associated), burn wound infection, cystic fibrosis lung disease, UTI, otitis externa ("swimmer's ear"), ecthyma gangrenosum
Burkholderia cepacia	P. cepacia complex	Cystic fibrosis mein fatal lung infection
Burkholderia pseudomallei	Soil-dwelling	Melioidosis (endemic in SE Asia)

🟠 ANAEROBIC BACTERIA (Oxygen se marte hain)

Bacteria ka Naam	Gram Status	Causes Disease (Bimari)
Bacteroides fragilis	Gram -ve rod	Intra-abdominal abscess, peritonitis, pelvic infection
Clostridium tetani	Gram +ve rod	Tetanus
Clostridium botulinum	Gram +ve rod	Botulism
Clostridium perfringens	Gram +ve rod	Gas gangrene, food poisoning
Clostridium difficile	Gram +ve rod	Pseudomembranous colitis (diarrhea after antibiotics)
Peptostreptococcus	Gram +ve cocci	Polymicrobial abscesses, peritonitis
Fusobacterium	Gram -ve rod	Lemierre syndrome (jugular vein thrombosis)
Prevotella	Gram -ve rod	Oral/dental infection, aspiration pneumonia
Actinomyces israelii	Gram +ve filamentous	Actinomycosis (sulfur granules wala abscess)

📊 QUICK SUMMARY TABLE

Category	Bacteria	Bimari
GP Cocci	S. aureus, S. pyogenes, S. pneumoniae, Enterococcus	Skin, throat, pneumonia, UTI
GP Bacilli	C. tetani, C. botulinum, B. anthracis, L. monocytogenes, C. diphtheriae	Tetanus, botulism, anthrax, diphtheria
Acid-fast	M. tuberculosis, M. leprae	TB, leprosy
GN Cocci	N. meningitidis, N. gonorrhoeae	Meningitis, gonorrhea
GN Bacilli (Entero)	E. coli, Klebsiella, Salmonella, Shigella	UTI, typhoid, dysentery
GN Bacilli (Other)	H. influenzae, B. pertussis, V. cholerae, H. pylori	Meningitis, whooping cough, cholera, ulcer
Pseudomonas	P. aeruginosa	Burns, hospital pneumonia, CF
Anaerobes	B. fragilis, Peptostreptococcus, C. difficile	Abscess, peritonitis, colitis

Sources: Medical Microbiology 9e (Murray), Schwartz's Principles of Surgery 11e, Henry's Clinical Diagnosis and Management, Robbins & Cotran Pathologic Basis of Disease

Koi specific bacteria ke baare mein aur detail chahiye (mechanism, antibiotic treatment, etc.) toh batao!

Pdf bana ker do for medical student ke liye write me hinglish me

Reading File

Running Command

ls -la /home/daytona/workspace/ 2>/dev/null || echo "workspace empty or not found"

Running Command

mkdir -p /home/daytona/workspace/bacteria-pdf && echo "done"

Writing File

~/bacteria-pdf/make_bacteria_pdf.py

from reportlab.lib.pagesizes import A4
from reportlab.lib import colors
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.units import cm
from reportlab.platypus import (
    SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle,
    HRFlowable, PageBreak
)
from reportlab.lib.enums import TA_CENTER, TA_LEFT
from reportlab.pdfbase.ttfonts import TTFont
from reportlab.pdfbase import pdfmetrics
import os

OUTPUT = "/home/daytona/workspace/bacteria-pdf/Bacteria_Medical_Notes_Hinglish.pdf"

doc = SimpleDocTemplate(
    OUTPUT,
    pagesize=A4,
    rightMargin=1.8*cm,
    leftMargin=1.8*cm,
    topMargin=2*cm,
    bottomMargin=2*cm,
)

# ── Colour palette ──────────────────────────────────────────────
C_DARK_BLUE   = colors.HexColor("#1a237e")
C_BLUE        = colors.HexColor("#1565C0")
C_LIGHT_BLUE  = colors.HexColor("#E3F2FD")
C_GREEN       = colors.HexColor("#1B5E20")
C_LIGHT_GREEN = colors.HexColor("#E8F5E9")
C_RED         = colors.HexColor("#B71C1C")
C_LIGHT_RED   = colors.HexColor("#FFEBEE")
C_ORANGE      = colors.HexColor("#E65100")
C_LIGHT_ORG   = colors.HexColor("#FFF3E0")
C_PURPLE      = colors.HexColor("#4A148C")
C_LIGHT_PUR   = colors.HexColor("#F3E5F5")
C_YELLOW_BG   = colors.HexColor("#FFFDE7")
C_TEAL        = colors.HexColor("#004D40")
C_LIGHT_TEAL  = colors.HexColor("#E0F2F1")
C_GREY_LIGHT  = colors.HexColor("#F5F5F5")
C_GREY_MED    = colors.HexColor("#BDBDBD")
C_WHITE       = colors.white
C_BLACK       = colors.HexColor("#212121")

styles = getSampleStyleSheet()

def S(name, **kw):
    return ParagraphStyle(name, **kw)

# ── Custom styles ───────────────────────────────────────────────
title_style = S("Title2",
    fontSize=26, leading=32, textColor=C_WHITE,
    alignment=TA_CENTER, fontName="Helvetica-Bold")

subtitle_style = S("Subtitle2",
    fontSize=13, leading=18, textColor=C_LIGHT_BLUE,
    alignment=TA_CENTER, fontName="Helvetica")

section_style = S("Section",
    fontSize=15, leading=20, textColor=C_WHITE,
    fontName="Helvetica-Bold", spaceBefore=14, spaceAfter=4)

subsection_style = S("Sub",
    fontSize=12, leading=16, textColor=C_DARK_BLUE,
    fontName="Helvetica-Bold", spaceBefore=10, spaceAfter=4)

body_style = S("Body2",
    fontSize=9.5, leading=14, textColor=C_BLACK,
    fontName="Helvetica")

bold_body = S("BoldBody",
    fontSize=9.5, leading=14, textColor=C_BLACK,
    fontName="Helvetica-Bold")

small_style = S("Small",
    fontSize=8.5, leading=12, textColor=colors.HexColor("#555555"),
    fontName="Helvetica", alignment=TA_CENTER)

tip_style = S("Tip",
    fontSize=9, leading=13, textColor=C_TEAL,
    fontName="Helvetica-Bold", leftIndent=6)

# ── Helper: coloured section banner ─────────────────────────────
def banner(text, bg_color, text_color=C_WHITE):
    data = [[Paragraph(text, S("b", fontSize=13, leading=18,
                               textColor=text_color,
                               fontName="Helvetica-Bold",
                               alignment=TA_LEFT))]]
    t = Table(data, colWidths=[17.4*cm])
    t.setStyle(TableStyle([
        ("BACKGROUND",  (0,0), (-1,-1), bg_color),
        ("TOPPADDING",  (0,0), (-1,-1), 7),
        ("BOTTOMPADDING",(0,0),(-1,-1), 7),
        ("LEFTPADDING", (0,0), (-1,-1), 12),
        ("RIGHTPADDING",(0,0), (-1,-1), 8),
        ("ROUNDEDCORNERS", [4]),
    ]))
    return t

# ── Helper: info box ─────────────────────────────────────────────
def infobox(text, bg_color, text_color=C_BLACK):
    data = [[Paragraph(text, S("ib", fontSize=9, leading=13,
                               textColor=text_color,
                               fontName="Helvetica",
                               leftIndent=4))]]
    t = Table(data, colWidths=[17.4*cm])
    t.setStyle(TableStyle([
        ("BACKGROUND",  (0,0), (-1,-1), bg_color),
        ("TOPPADDING",  (0,0), (-1,-1), 6),
        ("BOTTOMPADDING",(0,0),(-1,-1), 6),
        ("LEFTPADDING", (0,0), (-1,-1), 10),
        ("RIGHTPADDING",(0,0), (-1,-1), 8),
        ("BOX", (0,0),(-1,-1), 0.5, C_GREY_MED),
    ]))
    return t

# ── Helper: data table ───────────────────────────────────────────
def data_table(headers, rows, col_widths, header_bg=C_BLUE, alt_bg=C_LIGHT_BLUE):
    data = [headers] + rows
    t = Table(data, colWidths=col_widths, repeatRows=1)
    style = [
        # Header row
        ("BACKGROUND",   (0,0), (-1,0),  header_bg),
        ("TEXTCOLOR",    (0,0), (-1,0),  C_WHITE),
        ("FONTNAME",     (0,0), (-1,0),  "Helvetica-Bold"),
        ("FONTSIZE",     (0,0), (-1,0),  9),
        ("ALIGN",        (0,0), (-1,0),  "CENTER"),
        ("TOPPADDING",   (0,0), (-1,0),  6),
        ("BOTTOMPADDING",(0,0), (-1,0),  6),
        # Body rows
        ("FONTNAME",     (0,1), (-1,-1), "Helvetica"),
        ("FONTSIZE",     (0,1), (-1,-1), 8.5),
        ("VALIGN",       (0,0), (-1,-1), "MIDDLE"),
        ("TOPPADDING",   (0,1), (-1,-1), 5),
        ("BOTTOMPADDING",(0,1), (-1,-1), 5),
        ("LEFTPADDING",  (0,0), (-1,-1), 6),
        ("RIGHTPADDING", (0,0), (-1,-1), 6),
        ("GRID",         (0,0), (-1,-1), 0.4, C_GREY_MED),
        ("ROWBACKGROUNDS",(0,1),(-1,-1), [C_WHITE, alt_bg]),
        ("WORDWRAP",     (0,0), (-1,-1), True),
    ]
    t.setStyle(TableStyle(style))
    return t

# ════════════════════════════════════════════════════════════════
#  BUILD CONTENT
# ════════════════════════════════════════════════════════════════
story = []

# ── Cover Page ──────────────────────────────────────────────────
cover_bg = Table(
    [[Paragraph("🦠 Bacteriology", title_style)],
     [Spacer(1, 0.3*cm)],
     [Paragraph("Complete Notes for Medical Students", subtitle_style)],
     [Spacer(1, 0.2*cm)],
     [Paragraph("Hinglish mein — Gram +ve | Gram -ve | Anaerobic | Pseudomonas",
                S("cv", fontSize=11, leading=16, textColor=C_LIGHT_BLUE,
                  alignment=TA_CENTER, fontName="Helvetica"))],
     [Spacer(1, 0.5*cm)],
     [Paragraph("Sources: Medical Microbiology 9e (Murray) | Robbins & Cotran | Schwartz Surgery",
                S("src", fontSize=9, leading=13, textColor=colors.HexColor("#90CAF9"),
                  alignment=TA_CENTER, fontName="Helvetica-Oblique"))],
    ],
    colWidths=[17.4*cm]
)
cover_bg.setStyle(TableStyle([
    ("BACKGROUND",   (0,0), (-1,-1), C_DARK_BLUE),
    ("TOPPADDING",   (0,0), (-1,-1), 24),
    ("BOTTOMPADDING",(0,0), (-1,-1), 24),
    ("LEFTPADDING",  (0,0), (-1,-1), 16),
    ("RIGHTPADDING", (0,0), (-1,-1), 16),
    ("BOX",          (0,0), (-1,-1), 3, C_BLUE),
]))
story.append(Spacer(1, 1.5*cm))
story.append(cover_bg)
story.append(Spacer(1, 0.8*cm))

# Quick intro box
story.append(infobox(
    "<b>Gram Stain kya hota hai?</b><br/>"
    "Gram stain se bacteria do categories mein bante hain:<br/>"
    "🔵 <b>Gram Positive (+ve)</b> = Purple colour — thick peptidoglycan cell wall hoti hai.<br/>"
    "🔴 <b>Gram Negative (-ve)</b> = Pink/Red colour — thin peptidoglycan + outer membrane (LPS) hoti hai.<br/>"
    "Yeh classification treatment (antibiotic choice) ke liye bahut important hai!",
    C_YELLOW_BG, C_BLACK
))
story.append(Spacer(1, 0.4*cm))

# ── TABLE OF CONTENTS ───────────────────────────────────────────
story.append(banner("📋  TABLE OF CONTENTS", C_TEAL))
story.append(Spacer(1, 0.25*cm))
toc_items = [
    "1. Gram Positive Cocci",
    "2. Gram Positive Bacilli (Rods)",
    "3. Acid-Fast Bacilli",
    "4. Gram Negative Cocci",
    "5. Gram Negative Bacilli — Enterobacteriaceae",
    "6. Gram Negative Bacilli — Other Important",
    "7. Pseudomonas aur Related",
    "8. Anaerobic Bacteria",
    "9. Atypical Bacteria (Special Group)",
    "10. Quick Summary Table",
    "11. Memory Tips (Mnemonics)",
]
for item in toc_items:
    story.append(Paragraph("  " + item, body_style))
story.append(PageBreak())

# ════════════════════════════════════════════════════════════════
# SECTION 1 — GRAM POSITIVE COCCI
# ════════════════════════════════════════════════════════════════
story.append(banner("🔵  SECTION 1: GRAM POSITIVE COCCI", C_BLUE))
story.append(Spacer(1, 0.2*cm))
story.append(infobox(
    "Gram +ve Cocci = Round-shaped bacteria jo <b>purple colour</b> lete hain Gram stain mein.<br/>"
    "Ye bacteria clusters ya chains mein arrange hote hain.",
    C_LIGHT_BLUE
))
story.append(Spacer(1, 0.25*cm))

# 1A Staphylococcus
story.append(banner("1A. Staphylococcus (Clusters mein — angoor jaisi shape)", C_BLUE))
story.append(Spacer(1, 0.15*cm))
staph_headers = [
    Paragraph("<b>Bacteria</b>", bold_body),
    Paragraph("<b>Arrangement</b>", bold_body),
    Paragraph("<b>Disease / Bimari</b>", bold_body),
    Paragraph("<b>Key Point</b>", bold_body),
]
staph_rows = [
    [Paragraph("Staphylococcus aureus", bold_body),
     Paragraph("Clusters\n(angoor)", body_style),
     Paragraph("Skin infection (furuncle, carbuncle, impetigo), Pneumonia, Food poisoning, Toxic Shock Syndrome, Osteomyelitis, Endocarditis, Septicemia", body_style),
     Paragraph("MRSA = Methicillin-resistant (drug-resistant form) — hospital mein common", body_style)],
    [Paragraph("Staphylococcus epidermidis", bold_body),
     Paragraph("Clusters", body_style),
     Paragraph("Prosthetic valve endocarditis, Catheter-related bloodstream infection (nosocomial)", body_style),
     Paragraph("Coagulase negative; normal skin flora hai", body_style)],
    [Paragraph("Staphylococcus saprophyticus", bold_body),
     Paragraph("Clusters", body_style),
     Paragraph("UTI (Urinary Tract Infection) — especially young sexually active women mein", body_style),
     Paragraph("2nd most common UTI cause young women mein (E. coli ke baad)", body_style)],
]
story.append(data_table(staph_headers, staph_rows,
    [3.5*cm, 2.5*cm, 6.5*cm, 4.9*cm], C_BLUE, C_LIGHT_BLUE))
story.append(Spacer(1, 0.35*cm))

# 1B Streptococcus
story.append(banner("1B. Streptococcus (Chains mein)", C_BLUE))
story.append(Spacer(1, 0.15*cm))
strep_headers = [
    Paragraph("<b>Bacteria</b>", bold_body),
    Paragraph("<b>Group/Type</b>", bold_body),
    Paragraph("<b>Disease / Bimari</b>", bold_body),
    Paragraph("<b>Key Point</b>", bold_body),
]
strep_rows = [
    [Paragraph("S. pyogenes", bold_body),
     Paragraph("Group A\nBeta-hemolytic", body_style),
     Paragraph("Strep throat (tonsillitis), Scarlet fever, Rheumatic fever, Impetigo, Necrotizing fasciitis, Cellulitis", body_style),
     Paragraph("Post-infection complications: Rheumatic fever, Glomerulonephritis", body_style)],
    [Paragraph("S. agalactiae", bold_body),
     Paragraph("Group B\nBeta-hemolytic", body_style),
     Paragraph("Neonatal meningitis, Neonatal sepsis, Postpartum infection (maa mein)", body_style),
     Paragraph("Pregnant women ko screening hoti hai (35-37 weeks)", body_style)],
    [Paragraph("S. pneumoniae", bold_body),
     Paragraph("Alpha-hemolytic\nDiplococci", body_style),
     Paragraph("Lobar pneumonia, Bacterial meningitis, Otitis media, Sinusitis", body_style),
     Paragraph("Lancet-shaped diplococci; optochin sensitive; penicillin se treat hota hai", body_style)],
    [Paragraph("S. viridans group", bold_body),
     Paragraph("Alpha-hemolytic", body_style),
     Paragraph("Dental caries (daant ki sadhan), Subacute bacterial endocarditis (dental procedure ke baad)", body_style),
     Paragraph("Dental procedure ke baad bacteremia karta hai", body_style)],
    [Paragraph("S. bovis / gallolyticus", bold_body),
     Paragraph("Group D", body_style),
     Paragraph("Endocarditis, Bacteremia", body_style),
     Paragraph("Colon cancer ke saath association!", body_style)],
]
story.append(data_table(strep_headers, strep_rows,
    [3.2*cm, 2.5*cm, 6.2*cm, 5.5*cm], C_BLUE, C_LIGHT_BLUE))
story.append(Spacer(1, 0.35*cm))

# 1C Enterococcus
story.append(banner("1C. Enterococcus", C_BLUE))
story.append(Spacer(1, 0.15*cm))
ent_rows = [
    [Paragraph("Enterococcus faecalis", bold_body),
     Paragraph("Pairs/chains", body_style),
     Paragraph("UTI, Endocarditis, Peritonitis, Wound infection", body_style),
     Paragraph("Normal GI flora; hospital patients mein problem", body_style)],
    [Paragraph("Enterococcus faecium", bold_body),
     Paragraph("Pairs/chains", body_style),
     Paragraph("UTI, Hospital-acquired infections", body_style),
     Paragraph("VRE (Vancomycin-resistant) — bahut dangerous!", body_style)],
]
story.append(data_table(staph_headers, ent_rows,
    [3.5*cm, 2.5*cm, 6.5*cm, 4.9*cm], C_BLUE, C_LIGHT_BLUE))
story.append(PageBreak())

# ════════════════════════════════════════════════════════════════
# SECTION 2 — GRAM POSITIVE BACILLI
# ════════════════════════════════════════════════════════════════
story.append(banner("🔵  SECTION 2: GRAM POSITIVE BACILLI (Rod-shaped)", C_GREEN))
story.append(Spacer(1, 0.2*cm))
story.append(infobox(
    "Gram +ve Bacilli = Rod/stick shape ke bacteria jo purple colour lete hain.<br/>"
    "Kuch spore form karte hain (heat/chemical resistant) — jaise Clostridium, Bacillus.",
    C_LIGHT_GREEN
))
story.append(Spacer(1, 0.25*cm))

gpb_headers = [
    Paragraph("<b>Bacteria</b>", bold_body),
    Paragraph("<b>Special Feature</b>", bold_body),
    Paragraph("<b>Disease / Bimari</b>", bold_body),
    Paragraph("<b>Key Fact</b>", bold_body),
]
gpb_rows = [
    [Paragraph("Clostridium tetani", bold_body),
     Paragraph("Anaerobic\nSpore-forming", body_style),
     Paragraph("TETANUS — Jaw lock (lock jaw), Opisthotonus (body arch), Muscle spasm", body_style),
     Paragraph("Toxin: Tetanospasmin — inhibits GABA/glycine release", body_style)],
    [Paragraph("Clostridium botulinum", bold_body),
     Paragraph("Anaerobic\nSpore-forming", body_style),
     Paragraph("BOTULISM — Flaccid paralysis (weakness), tinned/canned food se, Infant botulism (honey se)", body_style),
     Paragraph("Toxin: Botulinum toxin — blocks ACh release at NMJ", body_style)],
    [Paragraph("Clostridium perfringens", bold_body),
     Paragraph("Anaerobic\nSpore-forming", body_style),
     Paragraph("Gas Gangrene (wound mein gas), Food poisoning (meat se), Necrotizing enteritis", body_style),
     Paragraph("Lecithinase (alpha toxin) — cell membrane destroy karta hai", body_style)],
    [Paragraph("Clostridium difficile\n(C. diff)", bold_body),
     Paragraph("Anaerobic\nSpore-forming", body_style),
     Paragraph("Pseudomembranous Colitis — antibiotic lene ke baad severe diarrhea, watery/bloody stool", body_style),
     Paragraph("Broad-spectrum antibiotic use ke baad hota hai; treat karo metronidazole/vancomycin se", body_style)],
    [Paragraph("Bacillus anthracis", bold_body),
     Paragraph("Aerobic\nSpore-forming", body_style),
     Paragraph("ANTHRAX — Cutaneous (skin par black eschar), Inhalation (wool sorter's disease), GI anthrax", body_style),
     Paragraph("Bioterrorism agent; penicillin/ciprofloxacin se treat", body_style)],
    [Paragraph("Bacillus cereus", bold_body),
     Paragraph("Aerobic\nSpore-forming", body_style),
     Paragraph("Food poisoning — 2 types: (1) Emetic form: chawal khane ke 1-6 hr baad vomiting (2) Diarrheal form", body_style),
     Paragraph("Fried rice disease bhi kehte hain!", body_style)],
    [Paragraph("Listeria monocytogenes", bold_body),
     Paragraph("Non-spore forming\nIntracellular", body_style),
     Paragraph("Listeriosis — Neonatal meningitis, Septicemia pregnant women mein, Stillbirth, Immunocompromised mein infection", body_style),
     Paragraph("Unpasteurized cheese/deli meat se milta hai; cold temperature mein bhi grow karta hai!", body_style)],
    [Paragraph("Corynebacterium diphtheriae", bold_body),
     Paragraph("Club-shaped rods\nChinese letter arrangement", body_style),
     Paragraph("DIPHTHERIA — Gale mein grey-white pseudomembrane, Bull neck, Myocarditis, Neuropathy", body_style),
     Paragraph("Toxin: ADP-ribosylation of EF-2 — protein synthesis rokta hai; DTP vaccine se prevention", body_style)],
    [Paragraph("Propionibacterium acnes\n(Cutibacterium acnes)", bold_body),
     Paragraph("Anaerobic rod\nSkin flora", body_style),
     Paragraph("Acne vulgaris (muhase), Prosthetic valve endocarditis", body_style),
     Paragraph("Sebaceous glands mein free fatty acids produce karta hai — inflammation causes karta hai", body_style)],
]
story.append(data_table(gpb_headers, gpb_rows,
    [3.8*cm, 3*cm, 5.8*cm, 4.8*cm], C_GREEN, C_LIGHT_GREEN))
story.append(PageBreak())

# ════════════════════════════════════════════════════════════════
# SECTION 3 — ACID-FAST BACILLI
# ════════════════════════════════════════════════════════════════
story.append(banner("🟤  SECTION 3: ACID-FAST BACILLI (AFB)", colors.HexColor("#5D4037")))
story.append(Spacer(1, 0.2*cm))
story.append(infobox(
    "Acid-Fast Bacteria = Gram stain se properly stain nahi hote — inki cell wall mein <b>mycolic acid</b> hota hai.<br/>"
    "Ziehl-Neelsen stain use hota hai — ye bacteria <b>red/pink colour</b> lete hain.<br/>"
    "Ye slow-growing bacteria hain.",
    colors.HexColor("#EFEBE9")
))
story.append(Spacer(1, 0.25*cm))

afb_headers = [
    Paragraph("<b>Bacteria</b>", bold_body),
    Paragraph("<b>Disease / Bimari</b>", bold_body),
    Paragraph("<b>Key Facts</b>", bold_body),
]
afb_rows = [
    [Paragraph("Mycobacterium tuberculosis", bold_body),
     Paragraph("TUBERCULOSIS (TB) — Pulmonary TB (khansi, hemoptysis), Miliary TB, TB meningitis, TB lymphadenitis (scrofula), TB spine (Pott's disease)", body_style),
     Paragraph("RIPE therapy: Rifampicin, Isoniazid, Pyrazinamide, Ethambutol — 6 months treatment. Ghanta (Mantoux) test se screen hota hai.", body_style)],
    [Paragraph("Mycobacterium leprae", bold_body),
     Paragraph("LEPROSY (Kushtha rog) — Skin patches (hypopigmented), Nerve damage (loss of sensation), Claw hand, Leonine facies (lion face)", body_style),
     Paragraph("2 types: Tuberculoid (strong immunity) aur Lepromatous (weak immunity). Dapsone + Rifampicin se treat.", body_style)],
    [Paragraph("Mycobacterium avium complex (MAC)", bold_body),
     Paragraph("Disseminated infection in HIV/AIDS patients — Fever, weight loss, diarrhea, lymphadenopathy", body_style),
     Paragraph("CD4 < 50 mein hota hai; azithromycin se prophylaxis", body_style)],
    [Paragraph("Nocardia asteroides", bold_body),
     Paragraph("Pulmonary Nocardiosis (cavitary pneumonia), Brain abscess, Cutaneous nocardiosis", body_style),
     Paragraph("Partially acid-fast; TMP-SMX se treat; immunocompromised mein hota hai", body_style)],
]
story.append(data_table(afb_headers, afb_rows,
    [4*cm, 7*cm, 6.4*cm], colors.HexColor("#5D4037"), colors.HexColor("#EFEBE9")))
story.append(PageBreak())

# ════════════════════════════════════════════════════════════════
# SECTION 4 — GRAM NEGATIVE COCCI
# ════════════════════════════════════════════════════════════════
story.append(banner("🔴  SECTION 4: GRAM NEGATIVE COCCI", C_RED))
story.append(Spacer(1, 0.2*cm))
story.append(infobox(
    "Gram -ve Cocci = Round bacteria jo <b>pink/red colour</b> lete hain Gram stain mein.<br/>"
    "Ye mainly diplococci (pairs mein) arrange hote hain. Neisseria genus sabse important hai.",
    C_LIGHT_RED
))
story.append(Spacer(1, 0.25*cm))

gncocci_headers = [
    Paragraph("<b>Bacteria</b>", bold_body),
    Paragraph("<b>Arrangement</b>", bold_body),
    Paragraph("<b>Disease / Bimari</b>", bold_body),
    Paragraph("<b>Key Facts</b>", bold_body),
]
gncocci_rows = [
    [Paragraph("Neisseria meningitidis\n(Meningococcus)", bold_body),
     Paragraph("Diplococci\n(kidney-bean shape)", body_style),
     Paragraph("Bacterial Meningitis — sudden fever, neck stiffness, photophobia, Petechial/purpuric rash, Waterhouse-Friderichsen syndrome (adrenal hemorrhage)", body_style),
     Paragraph("Polysaccharide capsule (A,B,C,W,Y types). Vaccine available. Penicillin se treat.", body_style)],
    [Paragraph("Neisseria gonorrhoeae\n(Gonococcus)", bold_body),
     Paragraph("Diplococci\n(inside PMN cells)", body_style),
     Paragraph("GONORRHEA (STI) — Urethritis (discharge + dysuria), Cervicitis, PID (Pelvic Inflammatory Disease), Neonatal ophthalmia neonatorum, Septic arthritis", body_style),
     Paragraph("No polysaccharide capsule; No vaccine; Ceftriaxone se treat (penicillin resistant ho gaya)", body_style)],
    [Paragraph("Moraxella catarrhalis", bold_body),
     Paragraph("Diplococci", body_style),
     Paragraph("Otitis media (kaan ka infection), Sinusitis, COPD exacerbation", body_style),
     Paragraph("Beta-lactamase positive; amoxicillin-clavulanate se treat", body_style)],
]
story.append(data_table(gncocci_headers, gncocci_rows,
    [3.5*cm, 2.5*cm, 6.5*cm, 4.9*cm], C_RED, C_LIGHT_RED))
story.append(PageBreak())

# ════════════════════════════════════════════════════════════════
# SECTION 5 — GN BACILLI ENTEROBACTERIACEAE
# ════════════════════════════════════════════════════════════════
story.append(banner("🔴  SECTION 5: GRAM NEGATIVE BACILLI — Enterobacteriaceae Family", C_RED))
story.append(Spacer(1, 0.2*cm))
story.append(infobox(
    "Enterobacteriaceae = GI tract ke common gram -ve rod bacteria.<br/>"
    "Ye facultative anaerobes hain — O2 ke saath ya bina dono mein grow karte hain.<br/>"
    "LPS (lipopolysaccharide) inki outer membrane mein hota hai — <b>endotoxin</b> se septic shock hota hai!",
    C_LIGHT_RED
))
story.append(Spacer(1, 0.25*cm))

entero_headers = [
    Paragraph("<b>Bacteria</b>", bold_body),
    Paragraph("<b>Disease / Bimari</b>", bold_body),
    Paragraph("<b>Special/Key Fact</b>", bold_body),
]
entero_rows = [
    [Paragraph("Escherichia coli\n(E. coli)", bold_body),
     Paragraph("UTI (sabse common cause), Neonatal meningitis (K1 capsule), Traveler's diarrhea (ETEC), Bloody diarrhea (EHEC O157:H7), HUS (Hemolytic Uremic Syndrome)", body_style),
     Paragraph("Most common UTI cause. EHEC: shiga-like toxin. HUS = hemolytic anemia + thrombocytopenia + renal failure.", body_style)],
    [Paragraph("Klebsiella pneumoniae", bold_body),
     Paragraph("Pneumonia — thick 'currant jelly' sputum (blood-tinged mucoid), UTI, Liver abscess (diabetics mein), Hospital-acquired infections", body_style),
     Paragraph("Alcoholics aur diabetics mein zyada. Large mucoid capsule. Aminoglycosides + cephalosporins se treat.", body_style)],
    [Paragraph("Salmonella typhi", bold_body),
     Paragraph("TYPHOID FEVER — High fever (step-ladder pattern), Rose spots on abdomen, Relative bradycardia, Splenomegaly, Constipation phir diarrhea", body_style),
     Paragraph("Intracellular pathogen. Contaminated food/water se. Ciprofloxacin/ceftriaxone se treat. Vaccine available.", body_style)],
    [Paragraph("Salmonella (non-typhi)\ne.g. S. typhimurium", bold_body),
     Paragraph("Gastroenteritis — Watery/bloody diarrhea, nausea, vomiting, 8-72 hr incubation. Septicemia in sickle cell patients.", body_style),
     Paragraph("Contaminated chicken, eggs, turtles se. Self-limiting usually; antibiotics only severe cases mein.", body_style)],
    [Paragraph("Shigella dysenteriae\n/ S. sonnei / S. flexneri", bold_body),
     Paragraph("DYSENTERY (Pechish) — Bloody mucoid diarrhea, tenesmus, fever, abdominal cramps. HUS (Shiga toxin producing).", body_style),
     Paragraph("Highly infectious (10 organisms se ho jata hai!). Hand-to-mouth spread. TMP-SMX / ciprofloxacin.", body_style)],
    [Paragraph("Proteus mirabilis", bold_body),
     Paragraph("UTI, Kidney stones (struvite/staghorn calculi), Wound infection", body_style),
     Paragraph("Urease producer — urine pH alkaline karta hai — struvite stones banta hai. Swarming motility on agar.", body_style)],
    [Paragraph("Enterobacter cloacae", bold_body),
     Paragraph("Hospital-acquired pneumonia, UTI, Wound infection, Bacteremia", body_style),
     Paragraph("AmpC beta-lactamase — cephalosporins resist karta hai. Carbapenems use hote hain.", body_style)],
    [Paragraph("Serratia marcescens", bold_body),
     Paragraph("Nosocomial pneumonia, UTI, Wound infection, Bacteremia", body_style),
     Paragraph("Red pigment (prodigiosin) produce karta hai. Catheter aur respirator se spread.", body_style)],
    [Paragraph("Yersinia pestis", bold_body),
     Paragraph("PLAGUE — Bubonic plague (lymph node swelling — bubo), Septicemic plague, Pneumonic plague (person-to-person)", body_style),
     Paragraph("Rat fleas se spread. Streptomycin/doxycycline se treat. Bioterrorism agent.", body_style)],
    [Paragraph("Yersinia enterocolitica", bold_body),
     Paragraph("Gastroenteritis, Mesenteric lymphadenitis (appendicitis jaisa pain)", body_style),
     Paragraph("Cold temperature mein grow karta hai. Contaminated pork se.", body_style)],
]
story.append(data_table(entero_headers, entero_rows,
    [4*cm, 7.2*cm, 6.2*cm], C_RED, C_LIGHT_RED))
story.append(PageBreak())

# ════════════════════════════════════════════════════════════════
# SECTION 6 — GN BACILLI OTHER
# ════════════════════════════════════════════════════════════════
story.append(banner("🔴  SECTION 6: GRAM NEGATIVE BACILLI — Other Important Bacteria", C_ORANGE))
story.append(Spacer(1, 0.15*cm))

other_gnb_rows = [
    [Paragraph("Haemophilus influenzae", bold_body),
     Paragraph("Meningitis (children mein, type b), Epiglottitis, Otitis media, Pneumonia, Cellulitis", body_style),
     Paragraph("Hib vaccine se type b prevent hota hai. Needs X and V factors (chocolate agar pe grow karta hai).", body_style)],
    [Paragraph("Haemophilus ducreyi", bold_body),
     Paragraph("CHANCROID — Painful genital ulcer (soft chancre), painful inguinal lymphadenopathy", body_style),
     Paragraph("STI; azithromycin/ceftriaxone se treat. Hard chancre = Syphilis (Treponema).", body_style)],
    [Paragraph("Bordetella pertussis", bold_body),
     Paragraph("WHOOPING COUGH (Kaali khansi) — Catarrhal phase, then Paroxysmal phase (violent cough + 'whoop' sound), then Convalescent phase", body_style),
     Paragraph("Toxin: Pertussis toxin (Gi inhibition — cAMP increase). DTP vaccine. Azithromycin se treat.", body_style)],
    [Paragraph("Vibrio cholerae", bold_body),
     Paragraph("CHOLERA (Haizia) — Profuse 'rice-water' diarrhea, severe dehydration, hypovolemic shock. 'El Tor' biotype", body_style),
     Paragraph("Toxin: Cholera toxin (Gs activation — massive Cl-/water secretion). ORS (oral rehydration) + doxycycline.", body_style)],
    [Paragraph("Vibrio vulnificus", bold_body),
     Paragraph("Wound infection (seawater se), Primary septicemia (raw oyster khane ke baad), Necrotizing fasciitis", body_style),
     Paragraph("Liver disease patients mein bahut dangerous. High mortality.", body_style)],
    [Paragraph("Campylobacter jejuni", bold_body),
     Paragraph("Gastroenteritis (bloody diarrhea), Guillain-Barre Syndrome (GBS) trigger — ascending paralysis", body_style),
     Paragraph("Undercooked poultry (chicken) se. Most common cause of bacterial gastroenteritis worldwide.", body_style)],
    [Paragraph("Helicobacter pylori", bold_body),
     Paragraph("Peptic Ulcer Disease (duodenal > gastric), Chronic gastritis, Gastric adenocarcinoma, MALT lymphoma", body_style),
     Paragraph("Urease producer (urea breath test). Triple therapy: PPI + clarithromycin + amoxicillin.", body_style)],
    [Paragraph("Legionella pneumophila", bold_body),
     Paragraph("LEGIONNAIRE'S DISEASE — Atypical pneumonia (Pontiac fever milder form), high fever, confusion, diarrhea", body_style),
     Paragraph("AC systems, hot water tanks, cooling towers se aerosol spread. Azithromycin se treat.", body_style)],
    [Paragraph("Brucella spp.", bold_body),
     Paragraph("BRUCELLOSIS — Undulant fever (fluctuating), malaise, sweating, arthralgia, hepatosplenomegaly. Animal contact (cattle, goats) se.", body_style),
     Paragraph("Unpasteurized milk/cheese se. Intracellular. Doxycycline + rifampicin.", body_style)],
    [Paragraph("Francisella tularensis", bold_body),
     Paragraph("TULAREMIA (Rabbit fever) — Ulceroglandular (ulcer + lymph nodes), Pneumonic form", body_style),
     Paragraph("Rabbit/tick contact se. Bioterrorism agent. Streptomycin se treat.", body_style)],
    [Paragraph("Acinetobacter baumannii", bold_body),
     Paragraph("HAP (Hospital-Acquired Pneumonia), Wound infection, Meningitis, UTI — ICU patients mein", body_style),
     Paragraph("ESKAPE pathogen. Carbapenem resistant (CRAB). Colistin last resort treatment.", body_style)],
    [Paragraph("Pasteurella multocida", bold_body),
     Paragraph("Wound infection (cat/dog bite ke baad), Cellulitis, Septic arthritis, Pneumonia", body_style),
     Paragraph("Animal bite ke baad hota hai. Amoxicillin-clavulanate se treat.", body_style)],
]
story.append(data_table(entero_headers, other_gnb_rows,
    [4*cm, 7.2*cm, 6.2*cm], C_ORANGE, C_LIGHT_ORG))
story.append(PageBreak())

# ════════════════════════════════════════════════════════════════
# SECTION 7 — PSEUDOMONAS
# ════════════════════════════════════════════════════════════════
story.append(banner("🟡  SECTION 7: PSEUDOMONAS aur Related Bacteria", colors.HexColor("#F57F17")))
story.append(Spacer(1, 0.2*cm))
story.append(infobox(
    "<b>Pseudomonas aeruginosa</b> = Gram negative, Non-fermenting bacillus.<br/>"
    "Yeh naturally bahut zyada <b>antibiotic resistant</b> hota hai — isliye hospital infections mein iska role bahut important hai.<br/>"
    "Blue-green pigment (<b>pyocyanin</b>) aur fruity smell (grape-like) iska pehchaan hai.",
    C_YELLOW_BG
))
story.append(Spacer(1, 0.25*cm))

pseudo_headers = [
    Paragraph("<b>Bacteria</b>", bold_body),
    Paragraph("<b>Characteristics</b>", bold_body),
    Paragraph("<b>Disease / Bimari</b>", bold_body),
    Paragraph("<b>Treatment</b>", bold_body),
]
pseudo_rows = [
    [Paragraph("Pseudomonas aeruginosa", bold_body),
     Paragraph("Blue-green pyocyanin pigment, fruity smell, mucoid colonies, oxidase +ve, non-lactose fermenter", body_style),
     Paragraph("1. Hospital pneumonia (Ventilator-Associated Pneumonia - VAP)\n2. Burn wound infection (green pus)\n3. Cystic Fibrosis lung disease\n4. UTI (catheterized patients)\n5. Otitis externa (Swimmer's ear - paani mein swimming ke baad)\n6. Ecthyma gangrenosum (black necrotic skin lesion)\n7. Endophthalmitis (eye infection contact lens se)\n8. Bacteremia in immunocompromised", body_style),
     Paragraph("Anti-pseudomonal beta-lactam (piperacillin-tazobactam, cefepime, imipenem) + aminoglycoside (tobramycin). Colistin resistant cases mein.", body_style)],
    [Paragraph("Burkholderia cepacia complex", bold_body),
     Paragraph("Gram -ve rod, oxidase +ve, multiple antibiotic resistance", body_style),
     Paragraph("Cystic Fibrosis patients mein fatal lung infection (rapid deterioration), Chronic granulomatous disease mein", body_style),
     Paragraph("TMP-SMX + meropenem. CF patients mein prognosis bahut kharab.", body_style)],
    [Paragraph("Burkholderia pseudomallei", bold_body),
     Paragraph("Gram -ve rod, soil-dwelling (SE Asia, Australia)", body_style),
     Paragraph("MELIOIDOSIS — Pneumonia, Septicemia, Liver/spleen abscess, Disseminated infection. Diabetics, alcoholics mein zyada.", body_style),
     Paragraph("IV ceftazidime (intensive phase) phir oral TMP-SMX (eradication). Long treatment (3-6 months).", body_style)],
    [Paragraph("Stenotrophomonas maltophilia", bold_body),
     Paragraph("Gram -ve rod, oxidase -ve, TMP-SMX sensitive", body_style),
     Paragraph("Nosocomial pneumonia, UTI, Wound infection — immunocompromised aur ICU patients mein", body_style),
     Paragraph("TMP-SMX drug of choice. Most beta-lactams aur carbapenems ko naturally resist karta hai.", body_style)],
]
story.append(data_table(pseudo_headers, pseudo_rows,
    [3.5*cm, 3.5*cm, 6*cm, 4.4*cm], colors.HexColor("#F57F17"), colors.HexColor("#FFF9C4")))
story.append(PageBreak())

# ════════════════════════════════════════════════════════════════
# SECTION 8 — ANAEROBIC BACTERIA
# ════════════════════════════════════════════════════════════════
story.append(banner("🟠  SECTION 8: ANAEROBIC BACTERIA", C_PURPLE))
story.append(Spacer(1, 0.2*cm))
story.append(infobox(
    "<b>Anaerobes</b> = Jo bacteria oxygen ke bina grow karte hain (oxygen se mar sakte hain).<br/>"
    "Ye normal flora mein hote hain — gut, oral cavity, genital tract mein.<br/>"
    "Inke infection mein <b>foul smell</b> hoti hai aur <b>gas formation</b> hoti hai tissue mein.<br/>"
    "Clue: Bite wound, abdominal surgery, dental procedure ke baad hone wala infection.",
    C_LIGHT_PUR
))
story.append(Spacer(1, 0.25*cm))

ana_headers = [
    Paragraph("<b>Bacteria</b>", bold_body),
    Paragraph("<b>Gram Status</b>", bold_body),
    Paragraph("<b>Disease / Bimari</b>", bold_body),
    Paragraph("<b>Key Points</b>", bold_body),
]
ana_rows = [
    [Paragraph("Bacteroides fragilis", bold_body),
     Paragraph("Gram -ve rod\n(Anaerobe)", body_style),
     Paragraph("Intra-abdominal abscess, Peritonitis (gut surgery ke baad), Pelvic infection, Bacteremia", body_style),
     Paragraph("Most common anaerobic pathogen. Metronidazole ya piperacillin-tazobactam se treat.", body_style)],
    [Paragraph("Clostridium tetani", bold_body),
     Paragraph("Gram +ve rod\n(Anaerobe)", body_style),
     Paragraph("TETANUS — Spastic paralysis, Lock jaw, Risus sardonicus (sardonic smile), Opisthotonus", body_style),
     Paragraph("Tetanospasmin toxin: blocks inhibitory neurotransmitters (GABA, glycine). TIG + penicillin + diazepam.", body_style)],
    [Paragraph("Clostridium botulinum", bold_body),
     Paragraph("Gram +ve rod\n(Anaerobe)", body_style),
     Paragraph("BOTULISM — Descending flaccid paralysis, Diplopia, Dysphagia, Dysarthria, Respiratory failure", body_style),
     Paragraph("Botulinum toxin: ACh release block karta hai. Antitoxin + supportive care. Infant: honey avoid karo.", body_style)],
    [Paragraph("Clostridium perfringens", bold_body),
     Paragraph("Gram +ve rod\n(Anaerobe)", body_style),
     Paragraph("Gas Gangrene (Myonecrosis) — crepitus (gas in tissue), wound darkening. Food poisoning. Necrotizing enteritis.", body_style),
     Paragraph("Alpha toxin (lecithinase/phospholipase C). Surgical debridement + hyperbaric O2 + penicillin G.", body_style)],
    [Paragraph("Clostridium difficile\n(C. diff)", bold_body),
     Paragraph("Gram +ve rod\n(Anaerobe)", body_style),
     Paragraph("Pseudomembranous Colitis — watery/bloody diarrhea, fever, abdominal pain. Hospital-acquired.", body_style),
     Paragraph("Toxin A (enterotoxin) + Toxin B (cytotoxin). Antibiotic use ke baad (esp. clindamycin, fluoroquinolones). Oral vancomycin / fidaxomicin se treat.", body_style)],
    [Paragraph("Peptostreptococcus\n(Finegoldia magna)", bold_body),
     Paragraph("Gram +ve cocci\n(Anaerobe)", body_style),
     Paragraph("Polymicrobial abscesses (mixed infection), Peritonitis, Pelvic inflammatory disease, Aspiration pneumonia", body_style),
     Paragraph("Normal oral aur vaginal flora. Penicillin/metronidazole se treat.", body_style)],
    [Paragraph("Fusobacterium nucleatum", bold_body),
     Paragraph("Gram -ve rod\n(Anaerobe)", body_style),
     Paragraph("Lemierre Syndrome (jugular vein septic thrombophlebitis), Dental infection, Aspiration pneumonia, Liver abscess", body_style),
     Paragraph("Throat infection ke baad septic emboli. Metronidazole se treat. Colon cancer se association.", body_style)],
    [Paragraph("Prevotella / Porphyromonas", bold_body),
     Paragraph("Gram -ve rod\n(Anaerobe)", body_style),
     Paragraph("Dental/periodontal infection, Aspiration pneumonia (brown/foul-smelling sputum), Orofacial abscess", body_style),
     Paragraph("Normal oral flora. Clindamycin / metronidazole / amoxicillin-clavulanate.", body_style)],
    [Paragraph("Actinomyces israelii", bold_body),
     Paragraph("Gram +ve\nFilamentous rod", body_style),
     Paragraph("ACTINOMYCOSIS — Cervicofacial (jaw abscess, 'lumpy jaw'), Pulmonary, Abdominal. Draining sinuses with sulfur granules.", body_style),
     Paragraph("Not true anaerobe — microaerophilic. Dental extraction ke baad. Long-term penicillin (6-12 months).", body_style)],
]
story.append(data_table(ana_headers, ana_rows,
    [3.5*cm, 2.5*cm, 5.8*cm, 5.6*cm], C_PURPLE, C_LIGHT_PUR))
story.append(PageBreak())

# ════════════════════════════════════════════════════════════════
# SECTION 9 — ATYPICAL BACTERIA
# ════════════════════════════════════════════════════════════════
story.append(banner("⚪  SECTION 9: ATYPICAL BACTERIA (Special Group)", colors.HexColor("#37474F")))
story.append(Spacer(1, 0.2*cm))
story.append(infobox(
    "<b>Atypical bacteria</b> = Jo bacteria normal Gram stain se nahi pehchane jaate aur normal antibiotics (penicillin) se treat nahi hote.<br/>"
    "Cell wall ya to absent hoti hai ya unusual hoti hai. Intracellular ya obligate parasites hain kuch.",
    colors.HexColor("#ECEFF1")
))
story.append(Spacer(1, 0.25*cm))

aty_headers = [
    Paragraph("<b>Bacteria</b>", bold_body),
    Paragraph("<b>Special Feature</b>", bold_body),
    Paragraph("<b>Disease / Bimari</b>", bold_body),
    Paragraph("<b>Treatment</b>", bold_body),
]
aty_rows = [
    [Paragraph("Mycoplasma pneumoniae", bold_body),
     Paragraph("No cell wall\n(Gram stain se nahi dikhta)", body_style),
     Paragraph("Walking pneumonia (atypical pneumonia) — mild symptoms, dry cough, headache, young adults mein zyada. Cold agglutinins +ve.", body_style),
     Paragraph("Azithromycin / doxycycline\n(penicillin KAAM NAHI KARTA — cell wall nahi hai!)", body_style)],
    [Paragraph("Chlamydia trachomatis", bold_body),
     Paragraph("Obligate intracellular\n2 forms: EB (infective) RB (replicating)", body_style),
     Paragraph("Types D-K: STI (urethritis, PID, infertility), Neonatal ophthalmia, Pneumonia. Types A-C: Trachoma (blindness). Type L: LGV (Lymphogranuloma venereum).", body_style),
     Paragraph("Doxycycline (adults)\nAzithromycin (single dose for urethritis)\nErythromycin (neonates)", body_style)],
    [Paragraph("Chlamydophila pneumoniae", bold_body),
     Paragraph("Obligate intracellular", body_style),
     Paragraph("Atypical pneumonia (community-acquired), Pharyngitis, Sinusitis — adults aur elderly mein", body_style),
     Paragraph("Azithromycin / doxycycline / fluoroquinolones", body_style)],
    [Paragraph("Rickettsia rickettsii", bold_body),
     Paragraph("Obligate intracellular\nTick-borne", body_style),
     Paragraph("Rocky Mountain Spotted Fever — Fever, severe headache, centripetal rash (palms/soles se start), vasculitis", body_style),
     Paragraph("Doxycycline (drug of choice). Tick bite ke baad.", body_style)],
    [Paragraph("Coxiella burnetii", bold_body),
     Paragraph("Obligate intracellular\nSpore-like form", body_style),
     Paragraph("Q FEVER — Atypical pneumonia, Hepatitis, Endocarditis (chronic). Animal (cattle, sheep, goats) exposure se.", body_style),
     Paragraph("Doxycycline. No arthropod vector needed — aerosol transmission.", body_style)],
    [Paragraph("Treponema pallidum", bold_body),
     Paragraph("Spirochete\nNot visible on Gram stain\nDark-field microscopy se", body_style),
     Paragraph("SYPHILIS — Primary: painless chancre. Secondary: maculopapular rash (palms+soles). Tertiary: gumma, aortitis, neurosyphilis.", body_style),
     Paragraph("Penicillin G (drug of choice — sabse purana antibiotic, abhi bhi kaam karta hai!)", body_style)],
    [Paragraph("Borrelia burgdorferi", bold_body),
     Paragraph("Spirochete\nTick-borne (Ixodes tick)", body_style),
     Paragraph("LYME DISEASE — Erythema migrans (bull's-eye rash), Arthritis, Facial palsy, Heart block. 3 stages hain.", body_style),
     Paragraph("Doxycycline (early)\nCeftriaxone IV (late/neuro)", body_style)],
    [Paragraph("Leptospira interrogans", bold_body),
     Paragraph("Spirochete\nWater-borne", body_style),
     Paragraph("LEPTOSPIROSIS — Weil's disease: jaundice, renal failure, hemorrhage, conjunctival suffusion. Rats ke urine se contaminated paani mein.", body_style),
     Paragraph("Penicillin G / doxycycline. Flood-prone areas mein common.", body_style)],
]
story.append(data_table(aty_headers, aty_rows,
    [3.5*cm, 3*cm, 6.2*cm, 4.7*cm], colors.HexColor("#37474F"), colors.HexColor("#ECEFF1")))
story.append(PageBreak())

# ════════════════════════════════════════════════════════════════
# SECTION 10 — QUICK SUMMARY
# ════════════════════════════════════════════════════════════════
story.append(banner("📊  SECTION 10: QUICK SUMMARY TABLE", C_TEAL))
story.append(Spacer(1, 0.2*cm))
sum_headers = [
    Paragraph("<b>Category</b>", bold_body),
    Paragraph("<b>Bacteria</b>", bold_body),
    Paragraph("<b>Bimari (Disease)</b>", bold_body),
    Paragraph("<b>Treatment</b>", bold_body),
]
sum_rows = [
    [Paragraph("GP Cocci", bold_body), Paragraph("S. aureus", body_style),
     Paragraph("Skin, pneumonia, endocarditis, food poisoning", body_style), Paragraph("Oxacillin / Vancomycin (MRSA)", body_style)],
    [Paragraph("GP Cocci", bold_body), Paragraph("S. pyogenes (Gr. A)", body_style),
     Paragraph("Strep throat, rheumatic fever, impetigo", body_style), Paragraph("Penicillin G / Amoxicillin", body_style)],
    [Paragraph("GP Cocci", bold_body), Paragraph("S. pneumoniae", body_style),
     Paragraph("Pneumonia, meningitis, otitis media", body_style), Paragraph("Penicillin / Ceftriaxone", body_style)],
    [Paragraph("GP Cocci", bold_body), Paragraph("Enterococcus", body_style),
     Paragraph("UTI, endocarditis", body_style), Paragraph("Ampicillin / Vancomycin", body_style)],
    [Paragraph("GP Bacilli", bold_body), Paragraph("C. tetani", body_style),
     Paragraph("Tetanus", body_style), Paragraph("TIG + Penicillin + Diazepam", body_style)],
    [Paragraph("GP Bacilli", bold_body), Paragraph("C. botulinum", body_style),
     Paragraph("Botulism (flaccid paralysis)", body_style), Paragraph("Antitoxin + Supportive", body_style)],
    [Paragraph("GP Bacilli", bold_body), Paragraph("C. perfringens", body_style),
     Paragraph("Gas gangrene", body_style), Paragraph("Penicillin + Debridement", body_style)],
    [Paragraph("GP Bacilli", bold_body), Paragraph("C. difficile", body_style),
     Paragraph("Pseudomembranous colitis", body_style), Paragraph("Oral Vancomycin / Fidaxomicin", body_style)],
    [Paragraph("GP Bacilli", bold_body), Paragraph("B. anthracis", body_style),
     Paragraph("Anthrax", body_style), Paragraph("Ciprofloxacin / Doxycycline", body_style)],
    [Paragraph("GP Bacilli", bold_body), Paragraph("L. monocytogenes", body_style),
     Paragraph("Neonatal meningitis, listeriosis", body_style), Paragraph("Ampicillin + Gentamicin", body_style)],
    [Paragraph("GP Bacilli", bold_body), Paragraph("C. diphtheriae", body_style),
     Paragraph("Diphtheria", body_style), Paragraph("Antitoxin + Erythromycin", body_style)],
    [Paragraph("Acid-Fast", bold_body), Paragraph("M. tuberculosis", body_style),
     Paragraph("Tuberculosis (TB)", body_style), Paragraph("RIPE (6 months)", body_style)],
    [Paragraph("Acid-Fast", bold_body), Paragraph("M. leprae", body_style),
     Paragraph("Leprosy", body_style), Paragraph("Dapsone + Rifampicin", body_style)],
    [Paragraph("GN Cocci", bold_body), Paragraph("N. meningitidis", body_style),
     Paragraph("Meningitis, meningococcemia", body_style), Paragraph("Penicillin G / Ceftriaxone", body_style)],
    [Paragraph("GN Cocci", bold_body), Paragraph("N. gonorrhoeae", body_style),
     Paragraph("Gonorrhea, PID", body_style), Paragraph("Ceftriaxone IM (dual therapy)", body_style)],
    [Paragraph("GN Bacilli", bold_body), Paragraph("E. coli", body_style),
     Paragraph("UTI, neonatal meningitis, diarrhea", body_style), Paragraph("TMP-SMX / Ciprofloxacin / Ceftriaxone", body_style)],
    [Paragraph("GN Bacilli", bold_body), Paragraph("Klebsiella", body_style),
     Paragraph("Pneumonia, UTI", body_style), Paragraph("Cephalosporins / Carbapenems", body_style)],
    [Paragraph("GN Bacilli", bold_body), Paragraph("S. typhi", body_style),
     Paragraph("Typhoid fever", body_style), Paragraph("Ciprofloxacin / Ceftriaxone", body_style)],
    [Paragraph("GN Bacilli", bold_body), Paragraph("Shigella", body_style),
     Paragraph("Dysentery (pechish)", body_style), Paragraph("Ciprofloxacin / Azithromycin", body_style)],
    [Paragraph("GN Bacilli", bold_body), Paragraph("V. cholerae", body_style),
     Paragraph("Cholera (rice-water diarrhea)", body_style), Paragraph("ORS + Doxycycline", body_style)],
    [Paragraph("GN Bacilli", bold_body), Paragraph("H. pylori", body_style),
     Paragraph("Peptic ulcer, gastric cancer", body_style), Paragraph("PPI + Clarithromycin + Amoxicillin", body_style)],
    [Paragraph("GN Bacilli", bold_body), Paragraph("B. pertussis", body_style),
     Paragraph("Whooping cough (kaali khansi)", body_style), Paragraph("Azithromycin / Erythromycin", body_style)],
    [Paragraph("Pseudomonas", bold_body), Paragraph("P. aeruginosa", body_style),
     Paragraph("Burns, VAP, cystic fibrosis, swimmer's ear", body_style), Paragraph("Pip-Tazo / Cefepime + Aminoglycoside", body_style)],
    [Paragraph("Anaerobes", bold_body), Paragraph("B. fragilis", body_style),
     Paragraph("Intra-abdominal abscess, peritonitis", body_style), Paragraph("Metronidazole / Pip-Tazo", body_style)],
    [Paragraph("Atypical", bold_body), Paragraph("Mycoplasma pneumoniae", body_style),
     Paragraph("Walking pneumonia", body_style), Paragraph("Azithromycin / Doxycycline", body_style)],
    [Paragraph("Atypical", bold_body), Paragraph("C. trachomatis", body_style),
     Paragraph("STI, trachoma, PID", body_style), Paragraph("Doxycycline / Azithromycin", body_style)],
    [Paragraph("Atypical", bold_body), Paragraph("T. pallidum", body_style),
     Paragraph("Syphilis", body_style), Paragraph("Penicillin G", body_style)],
    [Paragraph("Atypical", bold_body), Paragraph("B. burgdorferi", body_style),
     Paragraph("Lyme disease", body_style), Paragraph("Doxycycline / Ceftriaxone", body_style)],
]
story.append(data_table(sum_headers, sum_rows,
    [2.8*cm, 4*cm, 5.8*cm, 4.8*cm], C_TEAL, C_LIGHT_TEAL))
story.append(PageBreak())

# ════════════════════════════════════════════════════════════════
# SECTION 11 — MNEMONICS
# ════════════════════════════════════════════════════════════════
story.append(banner("🧠  SECTION 11: MEMORY TIPS aur MNEMONICS", colors.HexColor("#880E4F")))
story.append(Spacer(1, 0.3*cm))

mnemonics = [
    ("🔴 Urease Producers yaad karo — 'PUNCH K'",
     "P = Proteus\nU = Ureaplasma\nN = Nocardia\nC = Cryptococcus (fungus)\nH = H. pylori\nK = Klebsiella"),
    ("🔴 Intracellular bacteria yaad karo — 'Some Bacteria Rest Quietly in Cells, Little Fools'",
     "S = Salmonella typhi\nB = Brucella\nR = Rickettsia\nQ = Coxiella (Q fever)\ni = (in)\nC = Chlamydia\nL = Listeria\nF = Francisella"),
    ("🔵 Gram Positive Cocci in Clusters",
     "Sirf Staphylococcus = Clusters (angoor ki tarah)\nStreptococcus = Chains (mala ki tarah)\nEnterococcus = Pairs ya short chains"),
    ("🟤 TB Treatment — RIPE yaad karo",
     "R = Rifampicin\nI = Isoniazid (INH)\nP = Pyrazinamide\nE = Ethambutol\n→ 2 months RIPE + 4 months RI = Total 6 months"),
    ("⚡ Toxin wale bacteria yaad karo",
     "C. tetani → Tetanospasmin (GABA block — spasm)\nC. botulinum → Botulinum toxin (ACh block — flaccid)\nC. perfringens → Alpha toxin (gas gangrene)\nC. diphtheriae → Diphtheria toxin (EF-2 block)\nV. cholerae → Cholera toxin (Gs — cAMP ↑)\nB. pertussis → Pertussis toxin (Gi — cAMP ↑)\nE. coli O157 → Shiga-like toxin (HUS)"),
    ("💊 Antibiotics that DON'T work on Pseudomonas",
     "1st/2nd gen cephalosporins, azithromycin, vancomycin — kaam NAHI karte!\nKaam karne wale: Pip-Tazo, Cefepime, Ceftazidime, Imipenem, Ciprofloxacin, Aminoglycosides"),
    ("🦠 Organisms that cause Meningitis — yaad karo by age",
     "Neonates (<1 month): Group B Strep, E. coli, Listeria\nInfants/Children: H. influenzae, N. meningitidis, S. pneumoniae\nAdults: N. meningitidis, S. pneumoniae\nElderly/Immunocompromised: S. pneumoniae, Listeria, gram -ve bacilli"),
    ("🔑 Rice-water diarrhea = Cholera (V. cholerae)\nCurrant jelly sputum = Klebsiella pneumonia\nRice-field farmer + leptospirosis\nHoney + infant = Botulism",
     "In disease clues ko yaad rakho MCQ mein bahut kaam aate hain!"),
]

for title_text, body_text in mnemonics:
    story.append(Paragraph(title_text, tip_style))
    story.append(infobox(body_text.replace("\n", "<br/>"), C_YELLOW_BG))
    story.append(Spacer(1, 0.25*cm))

story.append(Spacer(1, 0.5*cm))
story.append(HRFlowable(width="100%", thickness=1, color=C_GREY_MED))
story.append(Spacer(1, 0.2*cm))
story.append(Paragraph(
    "Sources: Medical Microbiology 9e (Murray) | Robbins & Cotran Pathologic Basis of Disease | "
    "Schwartz's Principles of Surgery 11e | Henry's Clinical Diagnosis | Jawetz Medical Microbiology",
    small_style))
story.append(Paragraph(
    "Prepared by Orris AI — For Educational Purposes Only",
    small_style))

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

Running Command

cd /home/daytona/workspace/bacteria-pdf && python make_bacteria_pdf.py 2>&1

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