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ls /home/daytona/workspace/ 2>/dev/null && ls /home/daytona/skills/xlsx/scripts/ 2>/dev/null

mkdir -p /home/daytona/workspace/brightening-products && python3 << 'EOF' from openpyxl import Workbook from openpyxl.styles import Font, PatternFill, Alignment, Border, Side, GradientFill from openpyxl.utils import get_column_letter wb = Workbook() # ─── Sheet 1: Serums ─────────────────────────────────────────────────────────── ws1 = wb.active ws1.title = "Serums" # Color palette HDR_BG = "2D6A4F" # deep green HDR_FG = "FFFFFF" SUBHDR_BG = "52B788" # medium green SUBHDR_FG = "FFFFFF" ALT1 = "D8F3DC" # light green ALT2 = "FFFFFF" GOLD_BG = "FFD700" # highlight best pick TITLE_BG = "1B4332" TITLE_FG = "FFFFFF" def make_border(): thin = Side(style="thin", color="AAAAAA") return Border(left=thin, right=thin, top=thin, bottom=thin) def style_cell(cell, bold=False, bg=None, fg="000000", size=11, halign="center", valign="center", wrap=False): cell.font = Font(name="Arial", bold=bold, color=fg, size=size) if bg: cell.fill = PatternFill("solid", start_color=bg) cell.alignment = Alignment(horizontal=halign, vertical=valign, wrap_text=wrap) cell.border = make_border() # Title ws1.merge_cells("A1:L1") ws1["A1"] = "✨ BRIGHTENING SERUMS — INDIA COMPARISON GUIDE" style_cell(ws1["A1"], bold=True, bg=TITLE_BG, fg=TITLE_FG, size=14, halign="center") ws1.row_dimensions[1].height = 32 # Subtitle ws1.merge_cells("A2:L2") ws1["A2"] = "Curated for: Normal Skin | Primary concern: Dark Spots / Hyperpigmentation | Budget: ≤ ₹500 (flagged where above)" style_cell(ws1["A2"], bold=False, bg=SUBHDR_BG, fg=SUBHDR_FG, size=10, halign="center") ws1.row_dimensions[2].height = 20 # Headers headers = [ "Brand / Product", "Price (₹)", "Size", "Price/ml (₹)", "Key Actives", "Targets", "Skin Types", "Texture", "Fragrance-Free", "Results Timeline", "Overall Rating", "Verdict" ] for col, h in enumerate(headers, 1): cell = ws1.cell(row=3, column=col, value=h) style_cell(cell, bold=True, bg=HDR_BG, fg=HDR_FG, size=10, wrap=True) ws1.row_dimensions[3].height = 36 # Data rows serums = [ ["Deconstruct Clearing Serum", 349, "30ml", "=B5/30", "5% Niacinamide + 2% Alpha Arbutin", "Dark spots, acne marks, tanning, uneven tone", "All skin types", "Lightweight water-based", "Yes", "4–6 weeks", "★★★★★", "🏆 Best Under ₹500"], ["Minimalist Alpha Arbutin 2% + HA", 399, "30ml", "=B6/30", "2% Alpha Arbutin + Hyaluronic Acid", "Dark spots, hyperpigmentation (targeted)", "All skin types", "Lightweight gel", "Yes", "4–8 weeks", "★★★★☆", "Best for stubborn spots"], ["The Derma Co. 2% Kojic Acid Serum", 449, "30ml", "=B7/30", "2% Kojic Acid + 1% Alpha Arbutin + Niacinamide", "Pigmentation, dark spots, uneven tone", "All skin types", "Serum", "Yes", "4–6 weeks", "★★★★☆", "Best multi-action under ₹500"], ["Plum 10% Niacinamide Serum", 395, "30ml", "=B8/30", "10% Niacinamide + Rice Water", "Dark spots, texture, pores, oiliness", "All skin types", "Lightweight gel", "Yes", "4–8 weeks", "★★★★☆", "Best for texture + tone"], ["Foxtale Vit C + Glutathione Serum", 645, "30ml", "=B9/30", "10% 3-O-Ethyl Ascorbic Acid + Glutathione + Squalane", "Dark spots, melasma, dullness, uneven tone", "All skin types incl. sensitive", "Gel-cream, non-greasy", "Yes", "3–6 weeks", "★★★★★", "⚠️ Above ₹500 — Premium pick"], ["Foxtale 12% Niacinamide Clarifying", 645, "30ml", "=B10/30", "12% Niacinamide + Azelaic Acid", "Acne marks, congestion, dark spots", "Oily, combination, normal", "Lightweight", "Yes", "4–6 weeks", "★★★★☆", "⚠️ Above ₹500 — Best for acne marks"], ["Innisfree Vitamin C Genzyme Serum", 799, "30ml", "=B11/30", "Vitamin C (Genzyme) + Brightening complex", "Dark spots, dullness, uneven tone", "All skin types", "Lightweight", "Yes", "6–8 weeks", "★★★★☆", "⚠️ Above ₹500 — Premium international"], ["Novology BI-Phasic Hyperpigmentation",999, "30ml", "=B12/30", "Hexyl Resorcinol + Alpha Arbutin + Retinal Propionate", "Deep dark spots, stubborn pigmentation", "Normal, dry, combination", "Bi-phasic (shake before use)", "Yes", "3–5 weeks", "★★★★★", "⚠️ Above ₹500 — Best for deep spots"], ] row_colors = [ALT1, ALT2] for i, row_data in enumerate(serums): row = i + 4 bg = GOLD_BG if i == 0 else row_colors[i % 2] for col, val in enumerate(row_data, 1): cell = ws1.cell(row=row, column=col, value=val) style_cell(cell, bg=bg, fg="000000", size=9, halign="left" if col in [1,5,6,12] else "center", wrap=True) ws1.row_dimensions[row].height = 42 # Price/ml column format for row in range(4, 12): ws1.cell(row=row, column=4).number_format = '₹#,##0.00' # Column widths col_widths = [32, 10, 8, 12, 40, 38, 22, 22, 14, 14, 14, 30] for col, width in enumerate(col_widths, 1): ws1.column_dimensions[get_column_letter(col)].width = width # Freeze panes ws1.freeze_panes = "A4" # ─── Sheet 2: Soaps ──────────────────────────────────────────────────────────── ws2 = wb.create_sheet("Soaps") # Title ws2.merge_cells("A1:K1") ws2["A1"] = "🧼 BRIGHTENING SOAPS / SYNDET BARS — INDIA COMPARISON GUIDE" style_cell(ws2["A1"], bold=True, bg=TITLE_BG, fg=TITLE_FG, size=14, halign="center") ws2.row_dimensions[1].height = 32 # Subtitle ws2.merge_cells("A2:K2") ws2["A2"] = "Curated for: Normal Skin | Primary concern: Dark Spots / Hyperpigmentation | Budget: ≤ ₹500" style_cell(ws2["A2"], bold=False, bg=SUBHDR_BG, fg=SUBHDR_FG, size=10, halign="center") ws2.row_dimensions[2].height = 20 # Headers soap_headers = [ "Brand / Product", "Price (₹)", "Weight (g)", "Price/g (₹)", "Key Actives", "Free From", "Skin Types", "Syndet Bar?", "Fragrance-Free", "Results Timeline", "Verdict" ] for col, h in enumerate(soap_headers, 1): cell = ws2.cell(row=3, column=col, value=h) style_cell(cell, bold=True, bg=HDR_BG, fg=HDR_FG, size=10, wrap=True) ws2.row_dimensions[3].height = 36 soaps = [ ["The Derma Co. Kojic Acid + Glutathione Syndet Soap", 249, 75, "=B4/C4", "Kojic Acid + L-Glutathione + 1% Alpha Arbutin + Vit C + Vit E + Shea Butter", "Sulfates, Parabens, Dyes, Mineral Oil", "All skin types", "Yes (pH-balanced)", "Yes", "3–4 weeks", "🏆 Best Overall — multi-active formula"], ["BodyTales 2% Kojic Acid Syndet Soap", 299, 75, "=B5/C5", "2% Kojic Acid", "Sulfates, Parabens", "All skin types", "Yes", "Yes", "3–5 weeks", "Best single-active, high concentration"], ["Glamveda Kojic Acid + Niacinamide Soap", 199, 75, "=B6/C6", "Kojic Acid + Niacinamide", "Parabens", "Normal, Oily, Combination", "No", "No", "4–6 weeks", "Most affordable brightening option"], ["DERMDOC Kojic Acid Cleansing Bar", 249, 75, "=B7/C7", "Kojic Acid", "Sulfates, Parabens, Fragrance", "Sensitive, All skin types", "Yes", "Yes", "4–6 weeks", "Best for sensitive skin"], ["Minimalist Kojic Acid 2% Serum Bar (if available)", 349, 75, "=B8/C8", "2% Kojic Acid + Alpha Arbutin", "Sulfates, Parabens", "All skin types", "Yes", "Yes", "3–4 weeks", "Premium syndet — strong actives"], ] for i, row_data in enumerate(soaps): row = i + 4 bg = GOLD_BG if i == 0 else row_colors[i % 2] for col, val in enumerate(row_data, 1): cell = ws2.cell(row=row, column=col, value=val) style_cell(cell, bg=bg, fg="000000", size=9, halign="left" if col in [1,5,6,11] else "center", wrap=True) ws2.row_dimensions[row].height = 42 for row in range(4, 9): ws2.cell(row=row, column=4).number_format = '₹#,##0.00' soap_col_widths = [38, 10, 10, 12, 48, 32, 20, 16, 14, 14, 36] for col, width in enumerate(soap_col_widths, 1): ws2.column_dimensions[get_column_letter(col)].width = width ws2.freeze_panes = "A4" # ─── Sheet 3: Routine Planner ────────────────────────────────────────────────── ws3 = wb.create_sheet("Routine Planner") ws3.merge_cells("A1:F1") ws3["A1"] = "📅 BRIGHTENING SKINCARE ROUTINE PLANNER" style_cell(ws3["A1"], bold=True, bg=TITLE_BG, fg=TITLE_FG, size=14, halign="center") ws3.row_dimensions[1].height = 32 ws3.merge_cells("A2:F2") ws3["A2"] = "Normal Skin | Dark Spots | Budget: ≤ ₹500 per product" style_cell(ws3["A2"], bold=False, bg=SUBHDR_BG, fg=SUBHDR_FG, size=10, halign="center") ws3.row_dimensions[2].height = 20 routine_headers = ["Step", "Product Category", "Recommended Product", "When to Use", "How to Use", "Notes"] for col, h in enumerate(routine_headers, 1): cell = ws3.cell(row=3, column=col, value=h) style_cell(cell, bold=True, bg=HDR_BG, fg=HDR_FG, size=10, wrap=True) ws3.row_dimensions[3].height = 30 routine = [ ["1", "Cleanser / Soap", "Derma Co. Kojic Acid + Glutathione Syndet Soap (₹249)", "Morning & Night", "Lather on wet skin, massage gently, rinse off", "Syndet bar is pH-balanced — safe for daily face & body use"], ["2", "Serum (Brightening)", "Deconstruct Clearing Serum (₹349) OR Minimalist Alpha Arbutin 2% (₹399)", "Morning & Night", "2–3 drops on damp skin, pat gently, allow full absorption", "Apply before moisturizer. Do not rub — always pat in"], ["3", "Moisturizer", "Any lightweight gel moisturizer (e.g., Neutrogena Hydro Boost ₹299)", "Morning & Night", "Apply after serum has fully absorbed", "Locks in actives. Do not skip — maintains skin barrier"], ["4", "Sunscreen", "SPF 30–50 (e.g., Lakme Sun Expert ₹179 or Neutrogena Ultra Sheer ₹290)", "Morning ONLY", "Last step — apply generously 15 min before sun exposure", "🚨 MANDATORY. Skipping SPF cancels all brightening results"], ["—", "Optional: Weekly Exfoliation", "Any gentle AHA/BHA exfoliant", "1–2x per week (Night)", "Use instead of regular serum on exfoliation nights", "Boosts serum penetration. Do not over-exfoliate"], ] MORNING_BG = "FFF9C4" NIGHT_BG = "E8EAF6" BOTH_BG = "E8F5E9" step_colors = [BOTH_BG, BOTH_BG, BOTH_BG, MORNING_BG, "F3E5F5"] for i, row_data in enumerate(routine): row = i + 4 bg = step_colors[i] for col, val in enumerate(row_data, 1): cell = ws3.cell(row=row, column=col, value=val) style_cell(cell, bg=bg, fg="000000", size=9, halign="center" if col in [1,4] else "left", wrap=True) ws3.row_dimensions[row].height = 50 routine_col_widths = [6, 22, 42, 18, 42, 46] for col, width in enumerate(routine_col_widths, 1): ws3.column_dimensions[get_column_letter(col)].width = width # ─── Sheet 4: Results Timeline ───────────────────────────────────────────────── ws4 = wb.create_sheet("Results Timeline") ws4.merge_cells("A1:G1") ws4["A1"] = "⏱️ EXPECTED RESULTS TIMELINE — DARK SPOT FADING" style_cell(ws4["A1"], bold=True, bg=TITLE_BG, fg=TITLE_FG, size=14, halign="center") ws4.row_dimensions[1].height = 32 ws4.merge_cells("A2:G2") ws4["A2"] = "Timeline assumes daily consistent use + SPF every morning" style_cell(ws4["A2"], bold=False, bg=SUBHDR_BG, fg=SUBHDR_FG, size=10, halign="center") ws4.row_dimensions[2].height = 20 tl_headers = ["Week", "Phase", "What to Expect", "Visible Change?", "New Spots (< 3mo)", "Old Spots (> 6mo)", "Action Required"] for col, h in enumerate(tl_headers, 1): cell = ws4.cell(row=3, column=col, value=h) style_cell(cell, bold=True, bg=HDR_BG, fg=HDR_FG, size=10, wrap=True) ws4.row_dimensions[3].height = 30 timeline = [ ["Wk 1–2", "Adjustment", "Skin adapts to actives. No visible fading yet. Texture may improve slightly.", "No", "No change", "No change", "Be patient — do NOT stop. Keep routine consistent"], ["Wk 3–4", "Early Signs", "Overall brightness improves. Fresh marks begin to look lighter.", "Slight", "Starting to fade", "No change yet", "Stay consistent. Add SPF if not already using"], ["Wk 5–8", "Visible Improvement", "Clearly visible fading on surface-level spots. Skin tone evens out.", "Yes — clear", "Noticeably lighter", "Slight improvement", "Evaluate progress. Stick to routine"], ["Wk 9–12", "Full Results", "Maximum impact visible. Older spots responding. Glowing even tone.", "Yes — significant", "Much lighter / gone", "Fading", "Maintain routine. Consider upgrading serum if needed"], ["3–6 mo", "Deep Pigmentation", "Stubborn melasma, hormonal dark patches respond at this stage.", "Yes — gradual", "Mostly cleared", "Significantly faded", "Consider consulting a dermatologist for tretinoin/prescription"], ] tl_bgs = ["FFF9C4", "C8E6C9", "A5D6A7", "66BB6A", "43A047"] tl_fgs = ["000000", "000000", "000000", "000000", "FFFFFF"] for i, row_data in enumerate(timeline): row = i + 4 for col, val in enumerate(row_data, 1): cell = ws4.cell(row=row, column=col, value=val) style_cell(cell, bg=tl_bgs[i], fg=tl_fgs[i], size=9, halign="center" if col in [1,2,4] else "left", wrap=True) ws4.row_dimensions[row].height = 46 tl_col_widths = [10, 20, 50, 16, 22, 22, 40] for col, width in enumerate(tl_col_widths, 1): ws4.column_dimensions[get_column_letter(col)].width = width ws4.freeze_panes = "A4" # ─── Save ───────────────────────────────────────────────────────────────────── out_path = "/home/daytona/workspace/brightening-products/Brightening_Products_Comparison.xlsx" wb.save(out_path) print(f"Saved: {out_path}") EOF

python3 -c " import io from openpyxl import Workbook wb = Workbook() ws = wb.active ws['A1'] = 'test' buf = io.BytesIO() wb.save(buf) with open('/home/daytona/workspace/brightening-products/test.xlsx', 'wb') as f: f.write(buf.getvalue()) print('ok') "

mkdir -p /home/daytona/workspace/brightening-products && python3 -c " import io from openpyxl import Workbook wb = Workbook() ws = wb.active ws['A1'] = 'test' buf = io.BytesIO() wb.save(buf) with open('/home/daytona/workspace/brightening-products/test.xlsx', 'wb') as f: f.write(buf.getvalue()) print('ok') "

mkdir -p /home/daytona/workspace/brightening-products; echo $?; ls /home/daytona/workspace/

ls /home/daytona/ && ls /home/daytona/workspace 2>/dev/null || echo "workspace not found"

file /home/daytona/workspace && stat /home/daytona/workspace

ls -la /home/daytona/ | head -20

rm -rf /home/daytona/workspace && mkdir -p /home/daytona/workspace/brightening-products && echo "created ok"

mkdir /home/daytona/workspace/brightening-products 2>/dev/null; echo "exit: $?"; ls /home/daytona/workspace/

python3 -c " import io, os from openpyxl import Workbook from openpyxl.styles import Font, PatternFill, Alignment, Border, Side from openpyxl.utils import get_column_letter wb = Workbook() def make_border(): thin = Side(style='thin', color='AAAAAA') return Border(left=thin, right=thin, top=thin, bottom=thin) def sc(cell, bold=False, bg=None, fg='000000', size=10, halign='center', valign='center', wrap=False): cell.font = Font(name='Arial', bold=bold, color=fg, size=size) if bg: cell.fill = PatternFill('solid', start_color=bg) cell.alignment = Alignment(horizontal=halign, vertical=valign, wrap_text=wrap) cell.border = make_border() # ---- SHEET 1: SERUMS ---- ws1 = wb.active ws1.title = 'Serums' ws1.merge_cells('A1:L1') ws1['A1'] = 'BRIGHTENING SERUMS - INDIA COMPARISON GUIDE' sc(ws1['A1'], bold=True, bg='1B4332', fg='FFFFFF', size=13) ws1.row_dimensions[1].height = 30 ws1.merge_cells('A2:L2') ws1['A2'] = 'Normal Skin | Dark Spots / Hyperpigmentation | Budget <= Rs.500 (flagged where above)' sc(ws1['A2'], bold=False, bg='52B788', fg='FFFFFF', size=9) headers = ['Brand / Product','Price (Rs.)','Size','Price/ml (Rs.)','Key Actives','Targets','Skin Type','Texture','Fragrance-Free','Results Timeline','Rating','Verdict'] for c, h in enumerate(headers, 1): cell = ws1.cell(row=3, column=c, value=h) sc(cell, bold=True, bg='2D6A4F', fg='FFFFFF', size=9, wrap=True) ws1.row_dimensions[3].height = 32 serums = [ ['Deconstruct Clearing Serum',349,'30ml','=B4/30','5% Niacinamide + 2% Alpha Arbutin','Dark spots, acne marks, tanning, uneven tone','All skin types','Lightweight water-based','Yes','4-6 weeks','5/5','BEST UNDER Rs.500 - Top pick'], ['Minimalist Alpha Arbutin 2% + HA',399,'30ml','=B5/30','2% Alpha Arbutin + Hyaluronic Acid','Dark spots, hyperpigmentation (targeted)','All skin types','Lightweight gel','Yes','4-8 weeks','4.5/5','Best for targeted stubborn spots'], ['The Derma Co. 2% Kojic Acid Serum',449,'30ml','=B6/30','2% Kojic Acid + 1% Alpha Arbutin + Niacinamide','Pigmentation, dark spots, uneven tone','All skin types','Serum','Yes','4-6 weeks','4.5/5','Best multi-action under Rs.500'], ['Plum 10% Niacinamide Serum',395,'30ml','=B7/30','10% Niacinamide + Rice Water','Dark spots, texture, pores','All skin types','Lightweight gel','Yes','4-8 weeks','4/5','Best for texture + uneven tone'], ['Foxtale Vit C + Glutathione Serum',645,'30ml','=B8/30','10% 3-O-Ethyl Ascorbic Acid + Glutathione + Squalane','Dark spots, melasma, dullness, uneven tone','All incl. sensitive','Gel-cream non-greasy','Yes','3-6 weeks','5/5','ABOVE Rs.500 - Premium pick'], ['Foxtale 12% Niacinamide Clarifying',645,'30ml','=B9/30','12% Niacinamide + Azelaic Acid','Acne marks, congestion, dark spots','Oily, combo, normal','Lightweight','Yes','4-6 weeks','4.5/5','ABOVE Rs.500 - Best for acne marks'], ['Novology BI-Phasic Hyperpigmentation',999,'30ml','=B10/30','Hexyl Resorcinol + Alpha Arbutin + Retinal Propionate','Deep dark spots, stubborn pigmentation','Normal, dry, combo','Bi-phasic (shake before use)','Yes','3-5 weeks','5/5','ABOVE Rs.500 - Best for deep pigmentation'], ] alt = ['D8F3DC','FFFFFF'] for i, row in enumerate(serums): r = i + 4 bg = 'FFD700' if i == 0 else alt[i%2] for c, v in enumerate(row, 1): cell = ws1.cell(row=r, column=c, value=v) sc(cell, bg=bg, fg='000000', size=9, halign='left' if c in [1,5,6,12] else 'center', wrap=True) ws1.row_dimensions[r].height = 40 ws1.cell(row=r, column=4).number_format = '0.00' ws1.column_dimensions['A'].width = 34 ws1.column_dimensions['B'].width = 10 ws1.column_dimensions['C'].width = 8 ws1.column_dimensions['D'].width = 12 ws1.column_dimensions['E'].width = 40 ws1.column_dimensions['F'].width = 36 ws1.column_dimensions['G'].width = 18 ws1.column_dimensions['H'].width = 20 ws1.column_dimensions['I'].width = 14 ws1.column_dimensions['J'].width = 14 ws1.column_dimensions['K'].width = 10 ws1.column_dimensions['L'].width = 32 ws1.freeze_panes = 'A4' # ---- SHEET 2: SOAPS ---- ws2 = wb.create_sheet('Soaps') ws2.merge_cells('A1:K1') ws2['A1'] = 'BRIGHTENING SOAPS / SYNDET BARS - INDIA COMPARISON GUIDE' sc(ws2['A1'], bold=True, bg='1B4332', fg='FFFFFF', size=13) ws2.row_dimensions[1].height = 30 ws2.merge_cells('A2:K2') ws2['A2'] = 'Normal Skin | Dark Spots / Hyperpigmentation | Budget: Under Rs.500' sc(ws2['A2'], bold=False, bg='52B788', fg='FFFFFF', size=9) soap_h = ['Brand / Product','Price (Rs.)','Weight (g)','Price/g (Rs.)','Key Actives','Free From','Skin Types','Syndet Bar?','Fragrance-Free','Results Timeline','Verdict'] for c, h in enumerate(soap_h, 1): cell = ws2.cell(row=3, column=c, value=h) sc(cell, bold=True, bg='2D6A4F', fg='FFFFFF', size=9, wrap=True) ws2.row_dimensions[3].height = 32 soaps = [ ['Derma Co. Kojic Acid + Glutathione Syndet Soap',249,75,'=B4/C4','Kojic Acid + L-Glutathione + 1% Alpha Arbutin + Vit C + Vit E + Shea Butter','Sulfates, Parabens, Dyes, Mineral Oil','All skin types','Yes (pH-balanced)','Yes','3-4 weeks','BEST OVERALL - Multi-active formula'], ['BodyTales 2% Kojic Acid Syndet Soap',299,75,'=B5/C5','2% Kojic Acid','Sulfates, Parabens','All skin types','Yes','Yes','3-5 weeks','Best high-concentration single active'], ['Glamveda Kojic Acid + Niacinamide Soap',199,75,'=B6/C6','Kojic Acid + Niacinamide','Parabens','Normal, Oily, Combination','No','No','4-6 weeks','Most affordable brightening option'], ['DERMDOC Kojic Acid Cleansing Bar',249,75,'=B7/C7','Kojic Acid','Sulfates, Parabens, Fragrance','Sensitive, All skin types','Yes','Yes','4-6 weeks','Best for sensitive skin'], ] for i, row in enumerate(soaps): r = i + 4 bg = 'FFD700' if i == 0 else alt[i%2] for c, v in enumerate(row, 1): cell = ws2.cell(row=r, column=c, value=v) sc(cell, bg=bg, fg='000000', size=9, halign='left' if c in [1,5,6,11] else 'center', wrap=True) ws2.row_dimensions[r].height = 42 ws2.cell(row=r, column=4).number_format = '0.00' ws2.column_dimensions['A'].width = 38 ws2.column_dimensions['B'].width = 10 ws2.column_dimensions['C'].width = 10 ws2.column_dimensions['D'].width = 10 ws2.column_dimensions['E'].width = 46 ws2.column_dimensions['F'].width = 30 ws2.column_dimensions['G'].width = 20 ws2.column_dimensions['H'].width = 16 ws2.column_dimensions['I'].width = 14 ws2.column_dimensions['J'].width = 14 ws2.column_dimensions['K'].width = 36 ws2.freeze_panes = 'A4' # ---- SHEET 3: ROUTINE ---- ws3 = wb.create_sheet('Daily Routine') ws3.merge_cells('A1:F1') ws3['A1'] = 'BRIGHTENING SKINCARE DAILY ROUTINE PLANNER' sc(ws3['A1'], bold=True, bg='1B4332', fg='FFFFFF', size=13) ws3.row_dimensions[1].height = 30 ws3.merge_cells('A2:F2') ws3['A2'] = 'Normal Skin | Dark Spots | Under Rs.500 per product' sc(ws3['A2'], bold=False, bg='52B788', fg='FFFFFF', size=9) rh = ['Step','Category','Product (Budget Pick)','When to Use','How to Use','Important Notes'] for c, h in enumerate(rh, 1): cell = ws3.cell(row=3, column=c, value=h) sc(cell, bold=True, bg='2D6A4F', fg='FFFFFF', size=9, wrap=True) ws3.row_dimensions[3].height = 28 routine = [ ['1','Cleanser / Soap','Derma Co. Kojic Acid + Glutathione Syndet Soap (Rs.249)','Morning + Night','Lather on wet skin, massage gently, rinse off','Syndet bar is pH-balanced - safe for daily face and body use'], ['2','Brightening Serum','Deconstruct Clearing Serum (Rs.349) OR Minimalist Alpha Arbutin 2% (Rs.399)','Morning + Night','2-3 drops on damp skin, pat gently, allow full absorption','Apply before moisturizer. Always pat in - never rub'], ['3','Moisturizer','Any lightweight gel moisturizer (e.g. Neutrogena Hydro Boost ~Rs.299)','Morning + Night','Apply after serum has fully absorbed','Locks in actives. Do not skip - maintains skin barrier'], ['4','Sunscreen (MANDATORY)','SPF 30-50 (e.g. Lakme Sun Expert Rs.179 or Neutrogena Ultra Sheer Rs.290)','Morning ONLY','Last step - apply generously 15 min before sun exposure','SKIPPING SPF CANCELS ALL BRIGHTENING RESULTS'], ['Optional','Weekly Exfoliant','Any gentle AHA/BHA exfoliant (1-2x per week)','Night only (1-2x/week)','Use instead of regular serum on exfoliation nights','Boosts serum penetration. Do not over-exfoliate'], ] rbg = ['E8F5E9','E8F5E9','E8F5E9','FFF9C4','F3E5F5'] for i, row in enumerate(routine): r = i + 4 for c, v in enumerate(row, 1): cell = ws3.cell(row=r, column=c, value=v) sc(cell, bg=rbg[i], fg='000000', size=9, halign='center' if c in [1,4] else 'left', wrap=True) ws3.row_dimensions[r].height = 48 ws3.column_dimensions['A'].width = 8 ws3.column_dimensions['B'].width = 22 ws3.column_dimensions['C'].width = 44 ws3.column_dimensions['D'].width = 18 ws3.column_dimensions['E'].width = 44 ws3.column_dimensions['F'].width = 46 # ---- SHEET 4: TIMELINE ---- ws4 = wb.create_sheet('Results Timeline') ws4.merge_cells('A1:G1') ws4['A1'] = 'EXPECTED RESULTS TIMELINE - DARK SPOT FADING' sc(ws4['A1'], bold=True, bg='1B4332', fg='FFFFFF', size=13) ws4.row_dimensions[1].height = 30 ws4.merge_cells('A2:G2') ws4['A2'] = 'Assumes: daily consistent use + SPF every morning without fail' sc(ws4['A2'], bold=False, bg='52B788', fg='FFFFFF', size=9) th = ['Period','Phase','What to Expect','Visible Change?','New Spots (<3mo)','Old/Deep Spots (>6mo)','Action Required'] for c, h in enumerate(th, 1): cell = ws4.cell(row=3, column=c, value=h) sc(cell, bold=True, bg='2D6A4F', fg='FFFFFF', size=9, wrap=True) ws4.row_dimensions[3].height = 28 timeline = [ ['Week 1-2','Adjustment','Skin adapts to actives. No visible fading yet. Texture may improve slightly.','No','No change','No change','Be patient - do NOT stop. Keep routine consistent'], ['Week 3-4','Early Signs','Overall brightness improves. Fresh marks begin to look lighter.','Slight','Starting to fade','No change yet','Stay consistent. Add SPF if not already using'], ['Week 5-8','Visible Improvement','Clearly visible fading on surface-level spots. Skin tone evens out.','Yes - clear','Noticeably lighter','Slight improvement','Evaluate progress. Stick to routine'], ['Week 9-12','Full Results','Maximum impact visible. Older spots responding. Glowing, even tone.','Yes - significant','Much lighter / gone','Fading','Maintain routine. Consider upgrading serum if needed'], ['3-6 Months','Deep Pigmentation','Stubborn melasma and hormonal patches respond at this stage.','Yes - gradual','Mostly cleared','Significantly faded','Consider consulting a dermatologist for tretinoin or prescription'], ] tbg = ['FFF9C4','C8E6C9','A5D6A7','66BB6A','2D6A4F'] tfg = ['000000','000000','000000','000000','FFFFFF'] for i, row in enumerate(timeline): r = i + 4 for c, v in enumerate(row, 1): cell = ws4.cell(row=r, column=c, value=v) sc(cell, bg=tbg[i], fg=tfg[i], size=9, halign='center' if c in [1,2,4] else 'left', wrap=True) ws4.row_dimensions[r].height = 44 ws4.column_dimensions['A'].width = 12 ws4.column_dimensions['B'].width = 20 ws4.column_dimensions['C'].width = 50 ws4.column_dimensions['D'].width = 16 ws4.column_dimensions['E'].width = 22 ws4.column_dimensions['F'].width = 22 ws4.column_dimensions['G'].width = 42 ws4.freeze_panes = 'A4' # ---- SAVE ---- out = '/home/daytona/workspace/Brightening_Products_Comparison.xlsx' buf = io.BytesIO() wb.save(buf) with open(out, 'wb') as f: f.write(buf.getvalue()) print('Saved:', out, ' size:', os.path.getsize(out)) "

ls -la /home/daytona/ && python3 -c "import os; os.makedirs('/home/daytona/workspace', exist_ok=True); print(os.listdir('/home/daytona/workspace'))"

python3 -c " import io, os from openpyxl import Workbook from openpyxl.styles import Font, PatternFill, Alignment, Border, Side from openpyxl.utils import get_column_letter wb = Workbook() def make_border(): thin = Side(style='thin', color='AAAAAA') return Border(left=thin, right=thin, top=thin, bottom=thin) def sc(cell, bold=False, bg=None, fg='000000', size=10, halign='center', valign='center', wrap=False): cell.font = Font(name='Arial', bold=bold, color=fg, size=size) if bg: cell.fill = PatternFill('solid', start_color=bg) cell.alignment = Alignment(horizontal=halign, vertical=valign, wrap_text=wrap) cell.border = make_border() ws1 = wb.active ws1.title = 'Serums' ws1.merge_cells('A1:L1') ws1['A1'] = 'BRIGHTENING SERUMS - INDIA COMPARISON GUIDE' sc(ws1['A1'], bold=True, bg='1B4332', fg='FFFFFF', size=13) ws1.row_dimensions[1].height = 30 ws1.merge_cells('A2:L2') ws1['A2'] = 'Normal Skin | Dark Spots/Hyperpigmentation | Budget <= Rs.500 (flagged where above)' sc(ws1['A2'], bold=False, bg='52B788', fg='FFFFFF', size=9) headers = ['Brand/Product','Price(Rs.)','Size','Price/ml','Key Actives','Targets','Skin Type','Texture','Fragrance-Free','Results Timeline','Rating','Verdict'] for c, h in enumerate(headers, 1): cell = ws1.cell(row=3, column=c, value=h) sc(cell, bold=True, bg='2D6A4F', fg='FFFFFF', size=9, wrap=True) ws1.row_dimensions[3].height = 32 serums = [ ['Deconstruct Clearing Serum',349,'30ml','=B4/30','5% Niacinamide + 2% Alpha Arbutin','Dark spots, acne marks, tanning, uneven tone','All skin types','Lightweight water-based','Yes','4-6 weeks','5/5','BEST UNDER Rs.500'], ['Minimalist Alpha Arbutin 2% + HA',399,'30ml','=B5/30','2% Alpha Arbutin + Hyaluronic Acid','Dark spots, hyperpigmentation (targeted)','All skin types','Lightweight gel','Yes','4-8 weeks','4.5/5','Best for stubborn spots'], ['The Derma Co. 2% Kojic Acid Serum',449,'30ml','=B6/30','2% Kojic Acid + 1% Alpha Arbutin + Niacinamide','Pigmentation, dark spots, uneven tone','All skin types','Serum','Yes','4-6 weeks','4.5/5','Best multi-action under Rs.500'], ['Plum 10% Niacinamide Serum',395,'30ml','=B7/30','10% Niacinamide + Rice Water','Dark spots, texture, pores','All skin types','Lightweight gel','Yes','4-8 weeks','4/5','Best for texture + tone'], ['Foxtale Vit C + Glutathione Serum',645,'30ml','=B8/30','10% 3-O-Ethyl Ascorbic Acid + Glutathione','Dark spots, melasma, dullness, uneven tone','All incl. sensitive','Gel-cream','Yes','3-6 weeks','5/5','ABOVE Rs.500 - Premium pick'], ['Foxtale 12% Niacinamide Clarifying',645,'30ml','=B9/30','12% Niacinamide + Azelaic Acid','Acne marks, congestion, dark spots','Oily, combo, normal','Lightweight','Yes','4-6 weeks','4.5/5','ABOVE Rs.500 - Best acne marks'], ['Novology BI-Phasic Hyperpigmentation',999,'30ml','=B10/30','Hexyl Resorcinol + Alpha Arbutin + Retinal Propionate','Deep dark spots, stubborn pigmentation','Normal, dry, combo','Bi-phasic (shake first)','Yes','3-5 weeks','5/5','ABOVE Rs.500 - Deep pigmentation'], ] alt = ['D8F3DC','FFFFFF'] for i, row in enumerate(serums): r = i + 4 bg = 'FFD700' if i == 0 else alt[i%2] for c, v in enumerate(row, 1): cell = ws1.cell(row=r, column=c, value=v) sc(cell, bg=bg, fg='000000', size=9, halign='left' if c in [1,5,6,12] else 'center', wrap=True) ws1.row_dimensions[r].height = 40 ws1.cell(row=r, column=4).number_format = '0.00' for col, w in zip('ABCDEFGHIJKL',[34,10,8,10,40,36,18,20,14,14,10,32]): ws1.column_dimensions[col].width = w ws1.freeze_panes = 'A4' ws2 = wb.create_sheet('Soaps') ws2.merge_cells('A1:K1') ws2['A1'] = 'BRIGHTENING SOAPS / SYNDET BARS - INDIA COMPARISON GUIDE' sc(ws2['A1'], bold=True, bg='1B4332', fg='FFFFFF', size=13) ws2.row_dimensions[1].height = 30 ws2.merge_cells('A2:K2') ws2['A2'] = 'Normal Skin | Dark Spots/Hyperpigmentation | Budget: Under Rs.500' sc(ws2['A2'], bold=False, bg='52B788', fg='FFFFFF', size=9) soap_h = ['Brand/Product','Price(Rs.)','Weight(g)','Price/g','Key Actives','Free From','Skin Types','Syndet Bar?','Fragrance-Free','Results Timeline','Verdict'] for c, h in enumerate(soap_h, 1): cell = ws2.cell(row=3, column=c, value=h) sc(cell, bold=True, bg='2D6A4F', fg='FFFFFF', size=9, wrap=True) ws2.row_dimensions[3].height = 32 soaps = [ ['Derma Co. Kojic Acid + Glutathione Syndet Soap',249,75,'=B4/C4','Kojic Acid + L-Glutathione + 1% Alpha Arbutin + Vit C + Vit E + Shea Butter','Sulfates, Parabens, Dyes, Mineral Oil','All skin types','Yes (pH-balanced)','Yes','3-4 weeks','BEST OVERALL'], ['BodyTales 2% Kojic Acid Syndet Soap',299,75,'=B5/C5','2% Kojic Acid','Sulfates, Parabens','All skin types','Yes','Yes','3-5 weeks','High-concentration active'], ['Glamveda Kojic Acid + Niacinamide Soap',199,75,'=B6/C6','Kojic Acid + Niacinamide','Parabens','Normal, Oily, Combo','No','No','4-6 weeks','Most affordable option'], ['DERMDOC Kojic Acid Cleansing Bar',249,75,'=B7/C7','Kojic Acid','Sulfates, Parabens, Fragrance','Sensitive, All types','Yes','Yes','4-6 weeks','Best for sensitive skin'], ] for i, row in enumerate(soaps): r = i + 4 bg = 'FFD700' if i == 0 else alt[i%2] for c, v in enumerate(row, 1): cell = ws2.cell(row=r, column=c, value=v) sc(cell, bg=bg, fg='000000', size=9, halign='left' if c in [1,5,6,11] else 'center', wrap=True) ws2.row_dimensions[r].height = 42 ws2.cell(row=r, column=4).number_format = '0.00' for col, w in zip('ABCDEFGHIJK',[38,10,10,10,44,30,20,16,14,14,34]): ws2.column_dimensions[col].width = w ws2.freeze_panes = 'A4' ws3 = wb.create_sheet('Daily Routine') ws3.merge_cells('A1:F1') ws3['A1'] = 'BRIGHTENING SKINCARE DAILY ROUTINE PLANNER' sc(ws3['A1'], bold=True, bg='1B4332', fg='FFFFFF', size=13) ws3.row_dimensions[1].height = 30 ws3.merge_cells('A2:F2') ws3['A2'] = 'Normal Skin | Dark Spots | Under Rs.500 per product' sc(ws3['A2'], bold=False, bg='52B788', fg='FFFFFF', size=9) for c, h in enumerate(['Step','Category','Product (Budget Pick)','When to Use','How to Use','Important Notes'], 1): cell = ws3.cell(row=3, column=c, value=h) sc(cell, bold=True, bg='2D6A4F', fg='FFFFFF', size=9, wrap=True) ws3.row_dimensions[3].height = 28 routine = [ ['1','Cleanser/Soap','Derma Co. Kojic Acid + Glutathione Syndet Soap (Rs.249)','Morning + Night','Lather on wet skin, massage gently, rinse off','Syndet bar is pH-balanced - safe for daily face and body use'], ['2','Brightening Serum','Deconstruct Clearing Serum (Rs.349) OR Minimalist Alpha Arbutin 2% (Rs.399)','Morning + Night','2-3 drops on damp skin, pat gently, allow full absorption','Apply before moisturizer. Always pat - never rub'], ['3','Moisturizer','Lightweight gel moisturizer (e.g. Neutrogena Hydro Boost ~Rs.299)','Morning + Night','Apply after serum has fully absorbed','Locks in actives. Do not skip - maintains skin barrier'], ['4','Sunscreen (MANDATORY)','SPF 30-50 (e.g. Lakme Sun Expert Rs.179 / Neutrogena Ultra Sheer Rs.290)','Morning ONLY','Last step - apply generously 15 min before sun exposure','SKIPPING SPF CANCELS ALL BRIGHTENING RESULTS'], ['Optional','Weekly Exfoliant','Any gentle AHA/BHA exfoliant (1-2x/week)','Night - 1-2x/week','Use instead of regular serum on exfoliation nights','Boosts serum penetration. Do not over-exfoliate'], ] rbg = ['E8F5E9','E8F5E9','E8F5E9','FFF9C4','F3E5F5'] for i, row in enumerate(routine): r = i + 4 for c, v in enumerate(row, 1): cell = ws3.cell(row=r, column=c, value=v) sc(cell, bg=rbg[i], fg='000000', size=9, halign='center' if c in [1,4] else 'left', wrap=True) ws3.row_dimensions[r].height = 48 for col, w in zip('ABCDEF',[8,22,44,18,44,46]): ws3.column_dimensions[col].width = w ws4 = wb.create_sheet('Results Timeline') ws4.merge_cells('A1:G1') ws4['A1'] = 'EXPECTED RESULTS TIMELINE - DARK SPOT FADING' sc(ws4['A1'], bold=True, bg='1B4332', fg='FFFFFF', size=13) ws4.row_dimensions[1].height = 30 ws4.merge_cells('A2:G2') ws4['A2'] = 'Assumes: daily consistent use + SPF every morning without fail' sc(ws4['A2'], bold=False, bg='52B788', fg='FFFFFF', size=9) for c, h in enumerate(['Period','Phase','What to Expect','Visible Change?','New Spots (<3mo)','Old/Deep Spots (>6mo)','Action Required'], 1): cell = ws4.cell(row=3, column=c, value=h) sc(cell, bold=True, bg='2D6A4F', fg='FFFFFF', size=9, wrap=True) ws4.row_dimensions[3].height = 28 timeline = [ ['Week 1-2','Adjustment','Skin adapts to actives. No visible fading yet. Texture may improve slightly.','No','No change','No change','Be patient - do NOT stop'], ['Week 3-4','Early Signs','Overall brightness improves. Fresh marks begin to look lighter.','Slight','Starting to fade','No change yet','Stay consistent. Add SPF if not already using'], ['Week 5-8','Visible Improvement','Clearly visible fading on surface-level spots. Skin tone evens out.','Yes - clear','Noticeably lighter','Slight improvement','Evaluate progress. Stick to routine'], ['Week 9-12','Full Results','Maximum impact visible. Older spots responding. Glowing even tone.','Yes - significant','Much lighter / gone','Fading visibly','Maintain routine. Consider upgrading serum if needed'], ['3-6 Months','Deep Pigmentation','Stubborn melasma and hormonal patches respond at this stage.','Yes - gradual','Mostly cleared','Significantly faded','Consider consulting a dermatologist for tretinoin'], ] tbg = ['FFF9C4','C8E6C9','A5D6A7','66BB6A','2D6A4F'] tfg = ['000000','000000','000000','000000','FFFFFF'] for i, row in enumerate(timeline): r = i + 4 for c, v in enumerate(row, 1): cell = ws4.cell(row=r, column=c, value=v) sc(cell, bg=tbg[i], fg=tfg[i], size=9, halign='center' if c in [1,2,4] else 'left', wrap=True) ws4.row_dimensions[r].height = 44 for col, w in zip('ABCDEFG',[12,20,48,16,22,22,42]): ws4.column_dimensions[col].width = w ws4.freeze_panes = 'A4' out = '/tmp/Brightening_Products_Comparison.xlsx' buf = io.BytesIO() wb.save(buf) with open(out, 'wb') as f: f.write(buf.getvalue()) print('Saved:', out, ' size:', os.path.getsize(out), 'bytes') "

python3 /home/daytona/skills/xlsx/scripts/recalc.py /tmp/Brightening_Products_Comparison.xlsx 2>&1