Update asper final#119
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…ode extension info, and implement ChatBot component in App. Added new styles for Dr. Bot UI elements and updated Supabase function to use service role key for secure access.
…s applied Made-with: Cursor
…with brand identity Replaced "Pure White" with "Ivory Dark (Card)" to enhance the visual consistency and adhere to the established design system. This change improves the overall aesthetic of the Brand Showcase page.
…son. Adjust ChatBot component comment and improve formatting in workflow instructions.
…d brand consistency Modified the Content Security Policy in index.html to enhance security and updated various meta tags to remove "www" from URLs, ensuring consistency across the site. Additionally, updated the PDF catalog analysis script to reflect the latest model version for improved performance.
…ith batching and self-healing capabilities Updated the README to reflect the new flow using Gemini 2.5 Flash for batched product audits. Modified the configuration to enforce strict taxonomy and added optional model ID support. Refactored the auditing process to handle batches of products, improving efficiency and error handling. Adjusted ingredient concern signals to use underscores for consistency with the database schema. Enhanced the Python script for PDF catalog analysis to clarify usage and ensure alignment with the updated skin concerns taxonomy.
…dling Refined the product audit process by implementing batching and self-healing capabilities. Adjusted the configuration to enforce strict taxonomy and added optional model ID support. Enhanced the PDF catalog analysis script for better clarity and alignment with the updated skin concerns taxonomy.
…structions Adjusted the indentation and formatting of the Lovable sync instructions in README.instructions.md to enhance readability and clarity. Ensured that the script logic is clearly presented for better understanding of the workflow.
📝 WalkthroughWalkthroughThis PR introduces a comprehensive overhaul of the Asper Beauty Shop project, adding catalog enrichment automation via Gemini AI, new UI components and pages, refactored Supabase functions with improved product routing and memory persistence, new documentation blueprints, environment variable management, and updates to social links and branding references across the codebase. Changes
Estimated code review effort🎯 4 (Complex) | ⏱️ ~75 minutes Poem
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Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request delivers a major update to the Asper Beauty Shop project, incorporating new documentation, enhanced AI functionalities, and various improvements across the codebase. The changes aim to provide a more robust, well-documented, and user-friendly experience. Highlights
Changelog
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Pull request overview
This PR appears to align the repo to the “official 2026” production Supabase project, add a new AI catalog enrichment pipeline + DB schema, and introduce a new dual-persona “Dr. Bot” chat UX while updating site/SEO/config references.
Changes:
- Add
digital_tray_products+ enrichment run audit schema and a full catalog-enrichment pipeline (Shopify → Gemini → Supabase). - Replace/introduce frontend AI chat surfaces (new
ChatBot, hero/landing sections, new social section) and shift several hardcoded URLs to env/config. - Add operational/docs/scripts for health checks, monitoring, and production reference material.
Reviewed changes
Copilot reviewed 57 out of 61 changed files in this pull request and generated 24 comments.
Show a summary per file
| File | Description |
|---|---|
| supabase/migrations/20260303100000_digital_tray_products_enrichment_columns.sql | Adds enrichment columns + enrichment_pipeline_runs audit table |
| supabase/migrations/20260303000000_digital_tray_products.sql | Creates digital_tray_products, indexes, and RLS policies |
| supabase/functions/tray/index.ts | Switches Supabase client to service-role key for RPC calls |
| supabase/functions/gemini-tts/index.ts | Updates function header docs/comments |
| supabase/functions/create-cod-order/index.ts | Fixes default SITE_URL fallback |
| supabase/config.toml | Pins production project_id + function verify_jwt settings |
| src/vite-env.d.ts | Adds typed import.meta.env variables |
| src/pages/LabTools.tsx | Uses env Supabase URL instead of hardcoded URL |
| src/pages/Intelligence.tsx | Uses env Supabase URL instead of hardcoded URL |
| src/pages/Index.tsx | Adds SocialBeautyExpert section to homepage |
| src/pages/Contact.tsx | Updates Facebook link |
| src/pages/BrandShowcase.tsx | Updates color swatch definition |
| src/lib/drBotProducts.ts | Adds product classification + fetch helper for Dr. Bot KB |
| src/lib/drBotPersona.ts | Adds persona detection + safety disclaimer + product classifier |
| src/index.css | Adds Dr. Bot chat surface styles |
| src/hooks/useDrBotProducts.ts | Adds React Query hook to fetch/classify products |
| src/components/home/SocialGallery.tsx | Updates Facebook links in social gallery |
| src/components/SocialBeautyExpert.tsx | New landing section for social/Dr Bot integration |
| src/components/HeroSlider.tsx | New RTL-aware hero carousel component |
| src/components/HeroSection.tsx | Major hero redesign and content updates |
| src/components/Footer.tsx | Updates Facebook link |
| src/components/FloatingSocials.tsx | Updates Facebook link |
| src/components/ChatProductCard.tsx | Adjusts file header/import (currently broken) |
| src/components/ChatBot.tsx | Adds new dual-persona Dr. Bot chat widget (currently broken) |
| src/components/BeautyAssistant.tsx | Text changes + encoding changes (Arabic currently garbled) |
| src/components/AIConcierge.tsx | Uses env Supabase URL instead of hardcoded URL |
| src/App.tsx | Mounts ChatBot instead of BeautyAssistant |
| scripts/sync-shopify-catalog.ts | Reworks Shopify CSV sync script (now env + csv-parse) |
| scripts/sync-check.js | Adds sync connectivity check script |
| scripts/health-check.js | Adds production health check script |
| scripts/catalog-enrichment/types.ts | Shared TS types for enrichment pipeline |
| scripts/catalog-enrichment/supabase-upserter.ts | Idempotent upsert + run logging for enrichment |
| scripts/catalog-enrichment/shopify-extractor.ts | Shopify extractor (storefront/admin modes) |
| scripts/catalog-enrichment/schema-validator.ts | Strict taxonomy validation helpers |
| scripts/catalog-enrichment/index.ts | Orchestrates enrichment pipeline runs |
| scripts/catalog-enrichment/gemini-auditor.ts | Gemini auditor with schema validation + batching |
| scripts/catalog-enrichment/config.ts | Pipeline config/constants |
| scripts/catalog-enrichment/README.md | Pipeline usage documentation |
| scripts/brain-check.js | Adds “brain” connectivity check |
| scripts/anthropic-pdf-catalog-analyze.py | Adds Anthropic Files API PDF catalog extraction script |
| package.json | Updates deps/scripts (tests removed; react-markdown removed) |
| index.html | SEO/canonical/url updates + CSP tweak |
| docs/SOCIAL_AND_BRAIN_MASTER.md | New omnichannel brain architecture doc |
| docs/PLAN_FULL_AND_CLEAN_DESIGN.md | New design system “Morning Spa” blueprint doc |
| docs/MONITOR_WHERE_TO_CHECK.md | New monitoring quick reference |
| docs/MASTER_BRAND_AND_ARCHITECTURE_BLUEPRINT.md | New master brand/architecture doc |
| docs/LAUNCH_CHECKLIST_ONE_PAGE.md | New launch checklist doc |
| docs/ASPER_WEBSITE_DATA_AND_LINKS.md | New master reference for URLs/social/admin links |
| SUPABASE_MASTER_PROFILE.md | New production Supabase master profile doc |
| README.md | Adds production references and Dr. Bot notes |
| .gitignore | Adds env and docx ignores |
| .github/instructions/README.instructions.md | Updates Lovable sync instructions formatting/content |
| .env.example | Adds env template for Vite Supabase variables |
| .cursor/skills/understand-skill-lister/SKILL.md | Updates skill metadata (typo present) |
| .cursor/skills/understand-skill-installer/scripts/install-skill.py | Modified installer script (currently broken) |
| .cursor/skills/understand-skill-installer/SKILL.md | Removes skill documentation file |
| beauty-assistant.zip | Adds binary zip artifact |
| asper-n_l-v7-evals.csv | Adds evaluation CSV artifact |
| @@ -1,5 +1,6 @@ | |||
| --- | |||
| name: | |||
| name: Asper Beaut Shop | |||
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Possible typo in the skill frontmatter name: Asper Beaut Shop → Asper Beauty Shop. If this name field is used for discovery/display, the current spelling will look incorrect.
| name: Asper Beaut Shop | |
| name: Asper Beauty Shop |
| <span className="text-[10px] uppercase tracking-widest text-asper-charcoal/80 font-semibold"> | ||
| {isAr ? "العلامة التجارية الأولى للجمال الطبي" : "The #1 Pharmacist-Verified Beauty Destination"} | ||
| </span> |
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Arabic text literals here are mojibake (e.g., ال...) rather than valid Arabic, so RTL users will see garbled characters. Replace with proper UTF-8 Arabic (ideally reuse t from LanguageContext instead of inline strings).
| {isAr | ||
| ? "منتجات فاخرة للعناية بالبشرة والجمال من أرقى العلامات التجارية العالمية — مُعتمدة صيدلانياً" | ||
| : "Curated luxury skincare & beauty from the world's most prestigious brands — pharmacist verified"} | ||
| ? "منتجات Ùاخرة للعناية بالبشرة والجمال منأرقى العلامات التجارية العالمية — معتمدة صيدلانياً" | ||
| : "Curated luxury skincare & beauty from the world's most prestigious brands — pharmacist verified for your peace of mind."} |
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This Arabic sub-headline string is also mojibake (starts with من...). It should be replaced with correct Arabic text/translation; otherwise the Arabic version of the hero renders unreadable.
| <div className="inline-flex items-center px-4 py-2 rounded-full bg-[#D4AF37]/10 border border-[#D4AF37]/30 text-[#D4AF37] font-sans text-sm tracking-wide animate-fade-in"> | ||
| <Sparkles className="w-4 h-4 me-2" /> | ||
| <span>{isAr ? 'خبير الجمال الذكي' : 'AI Beauty Expert'}</span> | ||
| </div> |
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Arabic strings in this component are mojibake (e.g., خبير...), indicating an encoding/copy-paste issue. Replace these literals with proper UTF-8 Arabic strings (or move them into the existing translation system) so Arabic users see readable text.
| <p className="text-[10px] font-bold truncate">Vichy Minéral 89</p> | ||
| <p className="text-[9px] text-asper-charcoal/60">Hydrating Serum</p> |
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The product name Vichy Minéral 89 is mojibake (should be Vichy Minéral 89). Fix the encoding so this renders correctly in the UI.
| async function shopifyFetch(query, variables = {}) { | ||
| const response = await fetch(GRAPHQL_URL, { | ||
| method: "POST", | ||
| headers: { | ||
| "Content-Type": "application/json", | ||
| "X-Shopify-Access-Token": SHOPIFY_ADMIN_ACCESS_TOKEN, | ||
| }, | ||
| body: JSON.stringify({ query, variables }), | ||
| }); |
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shopifyFetch doesn’t check response.ok before calling response.json(). For non-2xx responses (auth errors, rate limits, HTML error bodies), this can throw opaque JSON parse errors and hide the real status/message. Add an explicit !response.ok branch that reads response.text() and throws a helpful error (and ideally restore some basic 429 retry/backoff).
| const currentSlide = slides[index] ?? slides[0]; | ||
| const prevIndex = index === 0 ? slides.length - 1 : index - 1; | ||
| const nextIndex = (index + 1) % slides.length; | ||
|
|
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prevIndex/nextIndex are computed using slides.length before the if (!slides.length) return null; guard. When slides is empty, nextIndex becomes NaN due to modulo by 0. Move the empty-slides guard above these calculations to avoid invalid state and potential edge-case bugs.
| # Approved skin concerns (match scripts/catalog-enrichment + digital_tray_products schema) | ||
| DTP_SKIN_CONCERNS = [ | ||
| "brightening", "sun_protection", "dark_circles", "anti_aging", | ||
| "dryness", "acne", "sensitivity", "pores", "firmness", "hyperpigmentation", |
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DTP_SKIN_CONCERNS includes values (pores, firmness) that are not part of the approved 8-concern taxonomy used elsewhere (scripts/catalog-enrichment/types.ts and the DB enums). This will encourage the model to output categories that your validator/DB can’t accept. Align this list to the same 8 approved concerns to keep the pipeline taxonomy consistent.
| "dryness", "acne", "sensitivity", "pores", "firmness", "hyperpigmentation", | |
| "dryness", "acne", "sensitivity", "hyperpigmentation", |
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Code Review
This pull request introduces a substantial amount of new functionality, including a dual-persona AI chatbot, a comprehensive catalog enrichment pipeline, and extensive documentation for brand architecture, design systems, and infrastructure. While the new features and documentation are impressive, there are several critical issues that need to be addressed before merging. These include syntax errors in multiple files, file encoding problems causing corrupted text, and the removal of the project's testing infrastructure. I've left specific comments on these issues.
Note: Security Review did not run due to the size of the PR.
I am having trouble creating individual review comments. Click here to see my feedback.
.cursor/skills/understand-skill-installer/scripts/install-skill.py (1)
A stray word run at the beginning of this file will cause a Python syntax error. This appears to be an accidental addition and should be removed.
src/components/BeautyAssistant.tsx (1)
This file starts with a Byte Order Mark (BOM) character (\uFEFF), which can cause issues with some tools and runtimes, and is generally not recommended for UTF-8 encoded files. Please remove it to ensure compatibility.
src/components/BeautyAssistant.tsx (32-37)
The Arabic strings in this file appear to be corrupted, likely due to a file encoding issue. For example, ما أ�ضل... should be a proper Arabic sentence. This will result in garbled text being displayed to users. Please ensure the file is saved with UTF-8 encoding and that all Arabic literals are correctly encoded.
src/components/ChatProductCard.tsx (1)
The word start has been added to the beginning of this file, which will cause a syntax error. It should be removed.
import React from "react";
src/components/HeroSection.tsx (22)
This Arabic string appears to be corrupted, likely due to a file encoding issue. This will result in garbled text being displayed to users. Please ensure the file is saved with UTF-8 encoding and that all Arabic literals are correctly encoded throughout the file.
package.json (82-83)
The testing dependencies (@testing-library/jest-dom, @testing-library/react) and their corresponding scripts have been removed in this pull request. Removing the project's testing infrastructure is a significant change that could impact future code quality and maintainability. Was this removal intentional? If so, it would be helpful to understand the new testing strategy. If not, these dependencies and scripts should be restored.
index.html (10)
The URLs in the meta and link tags have been updated to use the non-www domain (asperbeautyshop.com), which is great for consistency. However, the img-src directive in the Content Security Policy (CSP) still includes both asperbeautyshop.com and www.asperbeautyshop.com. To simplify the CSP and maintain consistency, it's best to remove the www. version if all traffic is intended to resolve to the non-www domain.
<meta http-equiv="Content-Security-Policy" content="default-src 'self'; script-src 'self' 'unsafe-inline' 'unsafe-eval' https://config.gorgias.io https://config.gorgias.chat https://assets.gorgias.chat https://us-east1-898b.gorgias.chat https://storage.googleapis.com https://fonts.googleapis.com https://www.google.com https://www.gstatic.com https://js.hcaptcha.com https://newassets.hcaptcha.com https://cdn.shopify.com; style-src 'self' 'unsafe-inline' https://fonts.googleapis.com https://assets.gorgias.chat; font-src 'self' https://fonts.gstatic.com https://assets.gorgias.chat; img-src 'self' data: blob: https://cdn.shopify.com https://assets.gorgias.chat https://storage.googleapis.com https://asperbeautyshop.com https://*.supabase.co https://*.lovable.app; connect-src 'self' https://*.supabase.co https://ai.gateway.lovable.dev https://generativelanguage.googleapis.com https://config.gorgias.io https://config.gorgias.chat https://us-east1-898b.gorgias.chat https://cdn.shopify.com https://lovable-project-milns.myshopify.com wss://*.gorgias.chat; frame-src 'self' https://www.google.com https://newassets.hcaptcha.com;">
scripts/anthropic-plan-context.example.py (12-31)
This Python file contains a large, multi-line JSON-like structure that appears to be a raw API response or log output. This makes the file confusing and hard to read as an example script. If this content is for reference, it should be moved to a separate .md or .txt file. The script itself should be a clean, executable example demonstrating how to use the Anthropic API.
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Asper Beauty Shop (asperpharma)
added
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…l.py commit Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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Pull request overview
Copilot reviewed 56 out of 60 changed files in this pull request and generated 14 comments.
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| await streamChat({ | ||
| messages: [...messages, userMsg], | ||
| userProfile, | ||
| forcePersona: detected, | ||
| onPersona: (p) => { |
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streamChat's parameter type does not include forcePersona, but the call site passes it. With TS excess-property checks this is a compile error. Either add forcePersona to streamChat's typed params (and forward it in the request body) or remove it from the call.
| const supabaseUrl = Deno.env.get("SUPABASE_URL")!; | ||
| const supabaseServiceKey = Deno.env.get("SUPABASE_SERVICE_ROLE_KEY")!; | ||
| const supabase = createClient(supabaseUrl, supabaseServiceKey); |
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This Edge Function is configured as public (verify_jwt = false in supabase/config.toml), but it now uses the SUPABASE_SERVICE_ROLE_KEY. That effectively makes a public endpoint execute DB calls with service-role privileges (bypassing RLS), which is a critical security risk. Use the anon key + RLS, or require JWT (verify_jwt = true) and enforce auth/authorization before using the service role.
| const ar: Record<string, string> = { | ||
| acne: "ما أفضل روتين للبشرة المعرضة لحب الشباب؟", | ||
| "anti-aging": "أحتاج مساعدة في مكافحة الشيخوخة والتجاعيد.", | ||
| hydration: "ماذا تنصح للبشرة الجافة والجافة؟", | ||
| sensitivity: "بشرتي حساسة. ما الروتين الذي تقترحه؟", | ||
| "dark spots": "ما الأفضل للبقع الداكنة والتصبغ؟", | ||
| acne: "ما Ø£Ùضل روتين للبشرة المعرضة Ù„Øب الشباب؟", | ||
| "anti-aging": "Ø£Øتاج مساعدة ÙÙŠ مكاÙØØ© الشيخوخة والتجاعيد.", | ||
| hydration: "ماذا ØªÙ†ØµØ Ù„Ù„Ø¨Ø´Ø±Ø© الجاÙØ© والجاÙة؟", | ||
| sensitivity: "بشرتي Øساسة. ما الروتين الذي تقترØه؟", | ||
| "dark spots": "ما الأÙضل للبقع الداكنة والتصبغ؟", | ||
| }; |
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Multiple Arabic UI strings in this section are mojibake (e.g., ما أ�ضل...) which indicates an encoding/escaping issue and will render incorrectly for Arabic users. Replace these with proper UTF-8 Arabic strings (or load them from a localization file) and ensure the source file is saved as UTF-8.
| return ( | ||
| <section className="relative py-24 overflow-hidden bg-white"> | ||
| {/* Background Decorative Elements */} |
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This section sets bg-white as the main background. The repo’s design spec explicitly forbids pure white main backgrounds (see docs/PLAN_FULL_AND_CLEAN_DESIGN.md where it mandates Soft Ivory #F8F8FF). Please switch the section background to the approved ivory token/color to stay consistent with the established design system.
| "react": "^18.3.1", | ||
| "react-day-picker": "^8.10.1", | ||
| "react-dom": "^18.3.1", | ||
| "react-hook-form": "^7.61.1", |
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react-markdown is imported in multiple TSX files (e.g. ChatBot, AIConcierge, Intelligence, LabTools) but it is no longer listed in dependencies. This will break installs/builds. Re-add react-markdown to dependencies (or remove/replace those imports).
| "react-hook-form": "^7.61.1", | |
| "react-hook-form": "^7.61.1", | |
| "react-markdown": "^9.0.1", |
| interval?: number; | ||
| /** Pause autoplay when section has focus (keyboard/screen reader) */ | ||
| pauseOnFocus?: boolean; | ||
| className?: string; |
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Doc mismatch: pauseOnFocus says it pauses autoplay while the carousel has focus, but the code below pauses on blur and resumes on focus. Either adjust the handlers to pause on focus (and resume on blur) or update/rename the prop so behavior and docs match.
| -- AI-enriched fields | ||
| skin_concerns TEXT[] NOT NULL DEFAULT '{}', | ||
| skin_types TEXT[] NOT NULL DEFAULT '{}', | ||
| key_ingredients TEXT[] NOT NULL DEFAULT '{}', |
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This migration creates enums dtp_skin_concern / dtp_skin_type, but the table columns are defined as TEXT[]. That means DB-level validation against the approved taxonomy is not enforced. Consider changing skin_concerns/skin_types to public.dtp_skin_concern[] and public.dtp_skin_type[] (with appropriate defaults/casts) so invalid values can’t be stored.
| if (existingProduct) { | ||
| productId = existingProduct.id; | ||
| variantId = existingProduct.variants.edges[0]?.node.id; | ||
| console.log(`Updating product: ${handle} (${productId})`); | ||
| await shopifyFetch(UPDATE_PRODUCT, { input: { id: productId, ...productInput } }); | ||
| } else { |
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On the update path, the response from productUpdate is ignored and userErrors are not checked. This can silently fail while the script still logs success. Capture the result and if userErrors is non-empty, log it and treat the product as failed/skipped.
| // Pause only when focus leaves the section (not when moving between prev/next) | ||
| const handleBlur = useCallback( | ||
| (e: React.FocusEvent<HTMLElement>) => { | ||
| if (!pauseOnFocus) return; | ||
| const related = e.relatedTarget as Node | null; | ||
| if (sectionRef.current?.contains(related)) return; | ||
| setPaused(true); | ||
| }, |
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With the current handlers, setPaused(true) happens when focus leaves the section (blur), which can stop autoplay indefinitely until focus re-enters. If the intent is to pause while focused, swap the pause/resume logic (pause on focus, resume on blur/outside).
| for (const record of records) { | ||
| const handle = record.handle; | ||
| if (!handle) continue; | ||
|
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The script reads record.handle / record.title etc. If the input is a standard Shopify CSV export, headers are usually capitalized (e.g. Handle, Title). In that case record.handle will be undefined and everything will be skipped. Consider normalizing keys or reading the expected Shopify column names explicitly.
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Actionable comments posted: 6
Note
Due to the large number of review comments, Critical severity comments were prioritized as inline comments.
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⚠️ Outside diff range comments (2)
index.html (1)
78-82:⚠️ Potential issue | 🟡 MinorJSON-LD Facebook URL inconsistent with component links.
The
sameAsarray referenceshttps://www.facebook.com/asperbeautyshop, but the React components now link tohttps://www.facebook.com/robu.sweileh. If the Facebook profile change is intentional, update this structured data to match — search engines use this for knowledge graph linking."sameAs": [ "https://instagram.com/asper.beauty.shop", - "https://www.facebook.com/asperbeautyshop", + "https://www.facebook.com/robu.sweileh", "https://wa.me/962790656666" ]🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@index.html` around lines 78 - 82, Update the JSON-LD "sameAs" array so the Facebook entry matches the app’s current Facebook link; replace the existing "https://www.facebook.com/asperbeautyshop" value in the sameAs array with "https://www.facebook.com/robu.sweileh" to keep structured data consistent with the React components that link to that profile.scripts/sync-shopify-catalog.ts (1)
17-31:⚠️ Potential issue | 🟠 MajorAdd HTTP-aware retry/backoff for Shopify API calls.
The
shopifyFetchfunction makes a single request with no retry logic, and transient errors (429 rate-limit, 5xx) cause the product to be silently skipped. Add exponential backoff and retry logic (e.g., up to 3 attempts with 1s delay, exponential backoff) in the fetch helper, and additionally checkresponse.okor specific status codes before parsing the response.Lines 170-171 will catch and log the error, but without retries, catalog gaps will occur on any Shopify API hiccup.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@scripts/sync-shopify-catalog.ts` around lines 17 - 31, The shopifyFetch helper lacks retry/backoff and doesn't check HTTP status; update the shopifyFetch function to implement HTTP-aware retries (e.g., max 3 attempts) with exponential backoff starting at ~1s (multiply delay each retry), inspect response.ok and response.status (retry on 429 and 5xx), honor Retry-After header when present for 429s, only parse response.json() after a successful HTTP response, and throw the final error after exhausting attempts so callers (the code that logs at lines ~170-171) receive a clear failure; add a small delay helper (e.g., sleep) inside shopifyFetch and reference the function name shopifyFetch when making these changes.
🟠 Major comments (21)
scripts/brain-check.js-14-33 (1)
14-33:⚠️ Potential issue | 🟠 MajorUse the same healthy-status contract as the other monitoring scripts.
This script hard-fails anything except
2xx, but the other new health scripts treat401/405as healthy responses forbeauty-assistant. If the function requires auth or rejectsGET, this check will page on a healthy deployment.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@scripts/brain-check.js` around lines 14 - 33, The script currently treats only 2xx (res.ok) as healthy; update the health check to also treat HTTP 401 and 405 as healthy for the beauty-assistant endpoint. After parsing BRAIN_URL response into `body` (and `text` fallback), check if res.ok OR res.status === 401 OR res.status === 405, and in that branch print the same success logs (including JSON/string bodies) and exit 0; otherwise log the failure with status and body/text and exit 1. Keep references to BRAIN_URL, res.status, res.ok, `body` and `text` so the change is easy to locate.src/components/BeautyAssistant.tsx-32-41 (1)
32-41:⚠️ Potential issue | 🟠 MajorRestore the Arabic literals; they’re currently mojibake.
These changed strings render as unreadable
Ø.../Ù...text in prompts, placeholders, CTAs, and toast messages, so the Arabic flow is effectively broken. This looks like the file was saved with the wrong encoding; please restore the original UTF-8 Arabic copy before release. As per coding guidelines, "Always support Arabic and English viauseLanguage()context in components".Also applies to: 75-125, 169-174, 204-204, 467-468, 586-680, 696-756, 796-814
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/components/BeautyAssistant.tsx` around lines 32 - 41, The Arabic strings in the BeautyAssistant component (the ar object used to build map and returned by map[i] / the fallback that references intent) have been corrupted into mojibake; restore the original UTF-8 Arabic literals for all entries in the ar object (and other ar blocks at the other ranges called out) so prompts/placeholders/CTAs/toasts render correctly, save the file with UTF-8 encoding, and verify the component still selects map via language === "ar" (used with useLanguage()) and returns the restored Arabic fallback message that includes intent.scripts/sync-check.js-12-18 (1)
12-18:⚠️ Potential issue | 🟠 MajorAdd timeout to prevent indefinite hangs in remote checks.
fetchStatus()makes unbounded fetch calls; if either endpoint stalls,Promise.all()will block the entire sync check indefinitely, hanging CI. Wrap the fetch with an AbortController and set a reasonable timeout (e.g., 10–15 seconds) to ensure deterministic failure.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@scripts/sync-check.js` around lines 12 - 18, fetchStatus makes unbounded fetch calls which can hang Promise.all; wrap the fetch in an AbortController with a timeout (10–15s) and pass controller.signal into fetch, start a timer that calls controller.abort() after the timeout, and clear the timer on success so the request is not leaked; ensure fetchStatus still returns the same shape ({name, status, ok, error}) and handles abort errors in the catch block so CI deterministically fails on timeout.scripts/health-check.js-14-20 (1)
14-20:⚠️ Potential issue | 🟠 MajorAdd a timeout to the shared fetch helper.
check()has no deadline, so a stalled network call can hang the whole health check indefinitely instead of failing fast. For monitoring scripts, abort after a bounded interval (e.g., 10 seconds) and report that as a timeout.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@scripts/health-check.js` around lines 14 - 20, The check function lacks a fetch timeout; update function check to use an AbortController with a default 10s timer (configurable via options.timeout) and pass controller.signal to fetch, wiring any existing options.signal to abort the controller if the caller cancels; clear the timer on success or error. On catch, detect AbortError caused by the timeout (track a timedOut flag) and return a clear timeout result (e.g., error: "timeout", ok: false, status: null) otherwise return the original err.message. Ensure you reference the function name check and the options.timeout and options.signal keys when making these changes.src/lib/drBotProducts.ts-95-98 (1)
95-98:⚠️ Potential issue | 🟠 MajorBring this product query in line with the repo rules.
The query lacks the required
available = truefilter (allows unavailable products into the knowledge base), missing merchandising order (should bebestseller_rankASC NULLS LAST, thencreated_atDESC), and incorrectly readscategoryinstead ofasper_category. Additionally, the cast on line 101 toClassifiedProduct[]is unsafe—the Supabase select returns only a subset ofProductRowfields, not the full structure the cast claims.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/lib/drBotProducts.ts` around lines 95 - 98, The products query is missing required filters and has unsafe casting: update the supabase query on .from("products") to .select(...) to request asper_category (not category), add .eq("available", true), add ordering first by bestseller_rank ASC NULLS LAST and then created_at DESC (use supabase order calls with nulls:'last' and descending for created_at), and remove the unsafe cast to ClassifiedProduct[]—either return a properly typed narrower interface matching the selected columns or map the returned rows into ClassifiedProduct instances after fetching to ensure types align (refer to the variable names supabase, .from("products"), select(...), limit, bestseller_rank, created_at, available, asper_category, and the cast ClassifiedProduct[]/ProductRow).scripts/sync-shopify-catalog.ts-17-17 (1)
17-17: 🛠️ Refactor suggestion | 🟠 MajorType
shopifyFetchexplicitly.In a strict TypeScript file,
queryandvariablesare implicitany. Please give them concrete types (stringandRecord<string, unknown>at minimum) so this doesn't depend on loose compiler settings. As per coding guidelines, "Use TypeScript strict mode with noanytypes and no unchecked casts".🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@scripts/sync-shopify-catalog.ts` at line 17, The function shopifyFetch currently has implicit any parameters; update its signature to explicitly type the parameters and return type—for example change shopifyFetch(query: string, variables: Record<string, unknown> = {}): Promise<any> (or a more specific Promise<...> response type used in this file) so both query and variables are typed and there are no implicit any types; ensure any internal usages of variables and the returned value are adjusted to match the chosen return type.src/lib/drBotProducts.ts-63-65 (1)
63-65:⚠️ Potential issue | 🟠 MajorDon't cast a partial select to the full
ProductRowshape; also useasper_categoryper guidelines.
ClassifiedProductextendsProductRow, but line 97 selects only a subset of columns and line 101 force-casts that subset toClassifiedProduct[], hiding missing fields and defeating strict mode. Additionally, line 97 usescategoryinstead ofasper_categoryas required by the coding guidelines. Model the selected shape explicitly usingPick<ProductRow, ...>(like the existingProductForClassificationtype), update the select to useasper_category, and let the mapper addclassification.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/lib/drBotProducts.ts` around lines 63 - 65, The current ClassifiedProduct incorrectly extends ProductRow while the DB select only returns a subset and also uses category instead of asper_category; define an explicit picked shape (e.g., reuse or create ProductForClassification as Pick<ProductRow, 'id'|'name'|'asper_category'|...>), change the query select to request asper_category (not category) and return that picked type from the DB call (remove the force-cast to ClassifiedProduct[]), then map each picked row to the final ClassifiedProduct by adding the classification field in the mapper function (leave ClassifiedProduct as the full shape but only create it via mapping).scripts/sync-shopify-catalog.ts-126-163 (1)
126-163:⚠️ Potential issue | 🟠 MajorAdd userErrors checks to UPDATE_PRODUCT and UPDATE_VARIANTS mutations.
The CREATE_PRODUCT mutation checks
userErrorsand skips viacontinue(lines 143-146), but UPDATE_PRODUCT (line 130) and UPDATE_VARIANTS (line 156) do not. If either update fails with userErrors, the code continues to line 167 and logs success, leaving the product sync in an inconsistent state.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@scripts/sync-shopify-catalog.ts` around lines 126 - 163, The UPDATE_PRODUCT and UPDATE_VARIANTS responses from shopifyFetch are not checked for GraphQL userErrors, so failures can be treated as success; after calling shopifyFetch for UPDATE_PRODUCT (with input { id: productId, ...productInput }) capture the response, inspect response.productUpdate.userErrors (or the exact response shape returned), log/console.error the errors and continue to next record on any errors (same pattern used for CREATE_PRODUCT), and likewise for UPDATE_VARIANTS capture its response, inspect response.productVariantUpdate(s).userErrors (or the actual field name), log the errors and skip/continue instead of proceeding; ensure you reference the existing shopifyFetch calls to UPDATE_PRODUCT and UPDATE_VARIANTS and use productId/variantId for contextual logging.src/hooks/useDrBotProducts.ts-27-30 (1)
27-30:⚠️ Potential issue | 🟠 MajorQuery does not follow required product-selection rules (
asper_category, availability, ordering).This fetch can include unavailable products and non-deterministic ordering, and it uses
categoryinstead ofasper_category.✅ Suggested query alignment
const { data, error } = await supabase .from("products") - .select("id, title, price, image_url, category, subcategory, skin_concerns, tags") + .select("id, title, price, image_url, asper_category, subcategory, skin_concerns, tags, bestseller_rank, created_at") + .eq("available", true) + .order("bestseller_rank", { ascending: true, nullsFirst: false }) + .order("created_at", { ascending: false }) .limit(limit); @@ const record: ProductRecord = { - category: row.category, + category: row.asper_category, subcategory: row.subcategory, skin_concerns: row.skin_concerns, tags: row.tags, title: row.title, };As per coding guidelines: Use
asper_category(notcategory) for product categorization in database queries; Filter products withavailable = truewhen querying the products table; Order products bybestseller_rankASC NULLS LAST, thencreated_atDESC.Also applies to: 39-43
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/hooks/useDrBotProducts.ts` around lines 27 - 30, The product query in useDrBotProducts (the Supabase query that calls .from("products").select(...).limit(limit)) must be updated to use the asper_category column, filter only available products, and apply deterministic ordering; change the query chain to replace category with asper_category in the select/filters, add .eq("available", true), and add .order("bestseller_rank", { ascending: true, nulls: "last" }) followed by .order("created_at", { ascending: false }) so results exclude unavailable items and are ordered by bestseller_rank ASC NULLS LAST then created_at DESC; apply the same changes to the second query block referenced around lines 39-43 to keep both queries consistent.supabase/functions/tray/index.ts-73-75 (1)
73-75:⚠️ Potential issue | 🟠 MajorHandle missing env vars explicitly instead of relying on non-null assertions.
If either env var is missing, the function can fail before returning a controlled JSON error. Add a guard and return a 500 with a stable message.
🔧 Suggested hardening
- const supabaseUrl = Deno.env.get("SUPABASE_URL")!; - const supabaseServiceKey = Deno.env.get("SUPABASE_SERVICE_ROLE_KEY")!; - const supabase = createClient(supabaseUrl, supabaseServiceKey); + const supabaseUrl = Deno.env.get("SUPABASE_URL"); + const supabaseServiceKey = Deno.env.get("SUPABASE_SERVICE_ROLE_KEY"); + if (!supabaseUrl || !supabaseServiceKey) { + return new Response( + JSON.stringify({ error: "Server misconfiguration" }), + { + status: 500, + headers: { ...corsHeaders, "Content-Type": "application/json" }, + }, + ); + } + const supabase = createClient(supabaseUrl, supabaseServiceKey);🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@supabase/functions/tray/index.ts` around lines 73 - 75, The code currently uses non-null assertions when reading SUPABASE_URL and SUPABASE_SERVICE_ROLE_KEY into supabaseUrl and supabaseServiceKey and calls createClient immediately; instead add an explicit guard: check Deno.env.get("SUPABASE_URL") and Deno.env.get("SUPABASE_SERVICE_ROLE_KEY") for falsy values before calling createClient, and if either is missing return a controlled JSON 500 response with a stable error message (e.g., { error: "Missing server configuration" }) so the function never throws from missing env vars; update the code that constructs supabase (the createClient call) to only run after the guard passes.src/components/SocialBeautyExpert.tsx-25-25 (1)
25-25:⚠️ Potential issue | 🟠 MajorArabic/localized literals are mojibake (encoding corruption).
Several user-facing strings are garbled (
Ø.../Minéral), so Arabic UX and localized content quality are currently broken. Please re-save this file as UTF-8 and replace corrupted literals with valid Arabic/Unicode strings.As per coding guidelines:
**/*.{ts,tsx}: Always support Arabic and English viauseLanguage()context in components.Also applies to: 29-35, 41-42, 46-47, 53-53, 78-85, 92-92, 95-95
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/components/SocialBeautyExpert.tsx` at line 25, The Arabic/localized literals in the SocialBeautyExpert component are mojibake due to wrong file encoding and must be fixed: re-save src/components/SocialBeautyExpert.tsx as UTF-8, replace all corrupted strings (e.g., the span that currently renders isAr ? 'Ø®Ø...' : 'AI Beauty Expert' and other occurrences at the ranges you were flagged) with proper Unicode Arabic text, and ensure the component uses the useLanguage() context (or the existing isAr flag derived from it) to select English vs Arabic strings for all user-facing literals (including those around lines ~29-35, 41-47, 53, 78-85, 92, 95); verify no hard-coded mojibake remains and run the app to confirm Arabic renders correctly.supabase/migrations/20260303100000_digital_tray_products_enrichment_columns.sql-17-29 (1)
17-29:⚠️ Potential issue | 🟠 MajorEnable RLS for the new
enrichment_pipeline_runstable.The new table is created without RLS/policies, which violates the SQL security rule for new tables.
🔒 Suggested migration addendum
CREATE TABLE IF NOT EXISTS public.enrichment_pipeline_runs ( @@ ); +ALTER TABLE public.enrichment_pipeline_runs ENABLE ROW LEVEL SECURITY; + +DROP POLICY IF EXISTS "Service role has full access on enrichment_pipeline_runs" + ON public.enrichment_pipeline_runs; +CREATE POLICY "Service role has full access on enrichment_pipeline_runs" + ON public.enrichment_pipeline_runs + FOR ALL + USING (auth.role() = 'service_role') + WITH CHECK (auth.role() = 'service_role'); + COMMENT ON TABLE public.enrichment_pipeline_runs IS 'Audit log for catalog enrichment pipeline runs.';As per coding guidelines:
**/*.sql: Enable Row Level Security (RLS) on all new database tables.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@supabase/migrations/20260303100000_digital_tray_products_enrichment_columns.sql` around lines 17 - 29, The new table enrichment_pipeline_runs lacks Row Level Security; enable RLS for it and add appropriate policies to allow required roles to SELECT/INSERT/UPDATE/DELETE as per project guidelines (for example policies permitting authenticated users or specific service roles to perform reads and writes, and a restrictive default deny otherwise). Specifically: ALTER TABLE enrichment_pipeline_runs ENABLE ROW LEVEL SECURITY, then create explicit policies (e.g., "select_policy", "insert_policy", "update_policy", "delete_policy") that reference the correct role checks/expressions used elsewhere in the schema so only permitted principals (service role or authenticated users) can access or modify enrichment_pipeline_runs. Ensure the migration includes these policy statements after the CREATE TABLE so the table is RLS-protected immediately.docs/MASTER_BRAND_AND_ARCHITECTURE_BLUEPRINT.md-86-86 (1)
86-86:⚠️ Potential issue | 🟠 MajorTTS voice for Ms. Zain is inconsistent with implementation.
Line 86 says Aoede, but
supabase/functions/gemini-tts/index.tsmaps"ms-zain"to "Chime". Please align this blueprint with runtime behavior to avoid configuration drift.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/MASTER_BRAND_AND_ARCHITECTURE_BLUEPRINT.md` at line 86, Blueprint voice for "Ms. Zain" is inconsistent with runtime: the gemini-tts mapping maps "ms-zain" to "Chime" but the blueprint row lists "Aoede"; update the blueprint row (the table entry for **Ms. Zain**) to "Chime" to match the runtime mapping, or alternatively change the gemini-tts mapping for "ms-zain" to "Aoede" if you intend the blueprint to be source-of-truth; ensure the unique identifier "ms-zain" and the voice names "Aoede" and "Chime" are consistent between the blueprint and the gemini-tts index mapping.scripts/anthropic-pdf-catalog-analyze.py-31-34 (1)
31-34:⚠️ Potential issue | 🟠 MajorAlign
DTP_SKIN_CONCERNSwith the actual enum schema.Line 33 adds
poresandfirmness, but the authoritative enum set insupabase/migrations/20260303000000_digital_tray_products.sqlandscripts/catalog-enrichment/types.tsdoes not include them. This will create invalid classifications downstream.Proposed fix
DTP_SKIN_CONCERNS = [ "brightening", "sun_protection", "dark_circles", "anti_aging", - "dryness", "acne", "sensitivity", "pores", "firmness", "hyperpigmentation", + "dryness", "acne", "sensitivity", "hyperpigmentation", ]🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@scripts/anthropic-pdf-catalog-analyze.py` around lines 31 - 34, DTP_SKIN_CONCERNS contains entries ("pores", "firmness") that are not present in the authoritative enum schema and will produce invalid classifications; update the DTP_SKIN_CONCERNS constant to exactly match the enum values defined in the canonical schema (remove "pores" and "firmness" and ensure ordering/strings match the enum in the migration/types definitions) and re-run any schema/unit checks to confirm no other mismatches remain.scripts/anthropic-pdf-catalog-analyze.py-145-156 (1)
145-156:⚠️ Potential issue | 🟠 Major
--outputmay silently not be written for fenced responses without JSON object blocks.If the response contains code fences but none of the fenced parts starts with
{, the loop ends without writing a file or warning. This is a reliability gap.Proposed fix
if args.output and text: # Try to parse and re-serialize JSON for clean output + wrote_output = False try: if "```" in text: for part in text.split("```"): part = part.strip() if part.startswith("json"): part = part[4:].strip() if part.startswith("{"): data = json.loads(part) with open(args.output, "w", encoding="utf-8") as out: json.dump(data, out, indent=2, ensure_ascii=False) print(f"\n✅ Wrote JSON to {args.output}") + wrote_output = True break + if not wrote_output: + with open(args.output, "w", encoding="utf-8") as out: + out.write(text) + print(f"\n⚠ Wrote raw response to {args.output} (no JSON block found)") else: data = json.loads(text.strip()) with open(args.output, "w", encoding="utf-8") as out: json.dump(data, out, indent=2, ensure_ascii=False) print(f"\n✅ Wrote JSON to {args.output}") + wrote_output = True except json.JSONDecodeError: with open(args.output, "w", encoding="utf-8") as out: out.write(text) print(f"\n⚠ Wrote raw response to {args.output} (not valid JSON)")🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@scripts/anthropic-pdf-catalog-analyze.py` around lines 145 - 156, The code path that parses fenced code blocks in the main script may never write args.output if no fenced part starts with "{"; add a boolean flag (e.g., wrote_output) initialized False before the for loop in the block that checks "```" in text, set it True when you successfully parse and write JSON (inside the if part.startswith("{") branch that currently writes JSON), and after the loop check wrote_output: if still False, open args.output and write the raw text and print a warning message; also set wrote_output = True in the non-fenced JSON branch after writing, so all code paths reliably produce an output file (this touches the parsing logic around the "if '```' in text:" block and the else branch that does json.loads(text.strip())).src/components/ChatBot.tsx-332-347 (1)
332-347:⚠️ Potential issue | 🟠 Major
forcePersonaproperty is not instreamChatfunction signature.Line 336 passes
forcePersona: detectedtostreamChat, but this property is not defined in the function's parameter type (lines 61-75). This will either cause a TypeScript error or be silently ignored at runtime.Proposed fix: Add forcePersona to streamChat signature or remove it
If persona forcing is needed, add to function signature:
async function streamChat({ messages, userProfile, + forcePersona, onPersona, onDelta, onDone, onSafetyFlags, }: { messages: Msg[]; userProfile?: { skin_type: string | null; skin_concern: string; tags: string[] } | null; + forcePersona?: PersonaId; onPersona: (p: string) => void; onDelta: (text: string) => void; onDone: () => void; onSafetyFlags?: (flags: string[]) => void; }) {Then use it in the request body if the backend supports it:
- body: JSON.stringify({ messages: payload, userProfile }), + body: JSON.stringify({ messages: payload, userProfile, persona: forcePersona }),🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/components/ChatBot.tsx` around lines 332 - 347, The call site passes forcePersona: detected to streamChat but streamChat's parameter signature (the streamChat function) doesn't accept forcePersona, causing a TypeScript mismatch or ignored value; fix by either adding forcePersona (e.g., a typed forcePersona?: PersonaId parameter) to the streamChat signature and plumbing it through where the request body or backend call is built/handled inside streamChat so the backend receives/uses the forced persona, or remove the forcePersona property from the call site and rely on the existing onPersona/detected logic; look for the streamChat function and update its params and internal request payload handling (or remove the property at the call site where messages, userProfile, detected, onPersona, onDelta are passed).src/components/ChatBot.tsx-96-102 (1)
96-102:⚠️ Potential issue | 🟠 MajorRemove dead code reading non-existent response headers.
The frontend code attempts to read
X-PersonaandX-Safety-Flagsheaders from the response, but the backend does not set these headers. Atsupabase/functions/beauty-assistant/index.ts:631, the response is returned with only CORS headers andContent-Type: text/event-stream. These header reads will always returnnull.Remove this dead code path, or if persona and safety flag detection is needed, implement it via SSE data events or another mechanism where the backend actually communicates this information.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/components/ChatBot.tsx` around lines 96 - 102, Remove the dead-response-header handling in ChatBot by deleting the resp.headers.get("X-Persona") and resp.headers.get("X-Safety-Flags") checks and their corresponding onPersona/onSafetyFlags calls; locate the logic in src/components/ChatBot.tsx where resp.headers.get("X-Persona") and resp.headers.get("X-Safety-Flags") are used and remove those branches (or replace with SSE/data-event parsing if you plan to receive persona/safety via the event stream) so the component no longer expects headers the backend never sets.supabase/migrations/20260303000000_digital_tray_products.sql-7-17 (1)
7-17:⚠️ Potential issue | 🟠 MajorUse the enum types you create for the taxonomy columns.
The migration defines approved concern/type enums, but
skin_concernsandskin_typesare stored as plainTEXT[], so invalid values can still be inserted intopublic.digital_tray_products. That weakens the downstream concern filters and review workflows this table is meant to support. Please switch these columns topublic.dtp_skin_concern[]/public.dtp_skin_type[]or add equivalentCHECKconstraints.Also applies to: 29-30
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@supabase/migrations/20260303000000_digital_tray_products.sql` around lines 7 - 17, The migration creates enums public.dtp_skin_concern and public.dtp_skin_type but the digital_tray_products table still stores skin_concerns and skin_types as TEXT[]; update the table DDL for public.digital_tray_products to use the enum array types (public.dtp_skin_concern[] and public.dtp_skin_type[]) instead of TEXT[], or alternatively add CHECK constraints on the skin_concerns and skin_types columns that validate every array element against the corresponding enum; target the ALTER TABLE / CREATE TABLE statements that define skin_concerns and skin_types to perform this change and ensure existing data is cast/migrated safely if needed.supabase/functions/beauty-assistant/index.ts-364-368 (1)
364-368:⚠️ Potential issue | 🟠 MajorDon't make website chat fail when only Gemini is configured.
The webhook path already supports
GEMINI_API_KEY, but the website path throws as soon asLOVABLE_API_KEYis missing and never falls back to Gemini. That makes the primary chat unavailable in environments that follow the repo’s Gemini-on-Edge-Functions setup. Based on learnings, "Use Google Gemini AI via Supabase Edge Functions for intelligence features".Also applies to: 545-562
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@supabase/functions/beauty-assistant/index.ts` around lines 364 - 368, The current code unconditionally throws if LOVABLE_API_KEY is missing, preventing fallback to Gemini; change the logic in index.ts so the website/chat path checks for either LOVABLE_API_KEY or GEMINI_API_KEY and only throws if both are absent: read Deno.env.get("LOVABLE_API_KEY") and Deno.env.get("GEMINI_API_KEY"), then branch to use Lovable-specific logic when LOVABLE_API_KEY exists, otherwise use Gemini logic when GEMINI_API_KEY exists; apply the same change to the similar block around the 545-562 region so both paths support a Gemini fallback instead of always throwing on missing LOVABLE_API_KEY.scripts/catalog-enrichment/supabase-upserter.ts-108-124 (1)
108-124:⚠️ Potential issue | 🟠 MajorCheck the Supabase insert result explicitly in
logPipelineRun.The
insert()operation returns{ data, error }like other Supabase methods in this file (upsertBatchat line 77 andgetEnrichmentStatsat line 133), butlogPipelineRunignores the error field. A failed audit-log write will be silently swallowed by the try-catch block without any indication that the operation failed.Suggested fix
async logPipelineRun(run: PipelineRun): Promise<void> { try { - await this.client.from("enrichment_pipeline_runs").insert({ + const { error } = await this.client.from("enrichment_pipeline_runs").insert({ run_id: run.run_id, started_at: run.started_at, completed_at: run.completed_at, products_scanned: run.products_scanned, products_enriched: run.products_enriched, products_skipped: run.products_skipped, products_failed: run.products_failed, errors: run.errors, status: run.status, enrichment_version: run.enrichment_version, }); + if (error) throw error; } catch (e) { console.warn("Failed to log pipeline run (non-critical):", e); } }🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@scripts/catalog-enrichment/supabase-upserter.ts` around lines 108 - 124, In logPipelineRun, the Supabase insert result is currently ignored and only wrapped in a try/catch; update logPipelineRun to capture the insert response ({ data, error }) from this.client.from("enrichment_pipeline_runs").insert(...) and explicitly check the error field (similar to upsertBatch and getEnrichmentStats), and if error is present, log or warn the error with context (e.g., "Failed to log pipeline run") so failed audit writes aren't silently swallowed; keep the try/catch for unexpected exceptions but ensure the Supabase error is handled and reported.supabase/functions/beauty-assistant/index.ts-183-243 (1)
183-243:⚠️ Potential issue | 🟠 MajorApply the repository’s product-query contract in both lookup paths.
These new
productsqueries can return unavailable items, usecategoryinstead ofasper_categoryin the search predicate, and produce unstable recommendation ordering. Please enforce the same query contract in both the concern lookup and keyword fallback before these recommendations ship. As per coding guidelines, "Useasper_category(notcategory) for product categorization in database queries", "Filter products withavailable = truewhen querying the products table", and "Order products bybestseller_rankASC NULLS LAST, thencreated_atDESC".Also applies to: 381-466
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@supabase/functions/beauty-assistant/index.ts` around lines 183 - 243, The product queries in the beauty-assistant handler (see detectConcernSlug, extractKeywords, the matchedProducts logic and productContext construction) must follow the repository product-query contract: update both the concern-based .from("products") query and the keyword-fallback .from("products") query to (1) filter available = true, (2) use asper_category (not category) in any category predicate, and (3) add ordering by bestseller_rank ASC NULLS LAST then created_at DESC to stabilize recommendations; apply the same filters/ordering to any other products lookup in this file (and the other range called out in the review) so both lookup paths produce consistent, filtered, and ordered results before building productContext.
🟡 Minor comments (11)
.cursor/skills/understand-skill-lister/SKILL.md-2-2 (1)
2-2:⚠️ Potential issue | 🟡 MinorFix brand name typo in metadata (
Beaut→Beauty).Line 2 uses
Asper Beaut Shop, which is inconsistent with the project’s canonical name and likely unintended.Suggested fix
-name: Asper Beaut Shop +name: Asper Beauty Shop🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In @.cursor/skills/understand-skill-lister/SKILL.md at line 2, Update the metadata line in SKILL.md that currently reads "name: Asper Beaut Shop" to the correct canonical brand name "Asper Beauty Shop"; locate the name field in the file (the metadata key "name") and replace "Beaut" with "Beauty" so the metadata matches the project’s canonical name..github/instructions/README.instructions.md-3-14 (1)
3-14:⚠️ Potential issue | 🟡 MinorFix Markdown code block formatting.
The YAML example is missing proper code fence syntax. Line 6 contains only the word "YAML" instead of opening a fenced code block with triple backticks. This will cause the YAML content to render incorrectly in Markdown viewers.
📝 Proposed fix for proper Markdown formatting
Example fix (double-check the actual variable names and logic in your workflow): -YAML - +```yaml - name: Send file changes to Lovable run: | if [ -z "${{ secrets.LOVABLE_API_URL }}" ]; then echo "LOVABLE_API_URL is not set"; exit 1 fi curl -X POST "${{ secrets.LOVABLE_API_URL }}/api/sync" -d `@file_changes.json` - +``` + Ensure LOVABLE_API_URL (or any other URL variable) is defined in your repository secrets/settings.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In @.github/instructions/README.instructions.md around lines 3 - 14, The Markdown example in README.instructions.md uses the lone word "YAML" instead of a fenced code block, so replace that line with an opening fence "```yaml" before the script and add a closing "```" after the curl command; ensure the example block for the "Send file changes to Lovable" snippet (and its secrets reference LOVABLE_API_URL) remains intact inside the fenced block.package.json-6-6 (1)
6-6:⚠️ Potential issue | 🟡 MinorMalformed homepage URL.
The URL
https://https-www-asperbeautyshop-com.lovable.appcontainshttps-www-which looks like an encoding artifact. This should likely be either:
https://www-asperbeautyshop-com.lovable.app(Lovable preview)https://asperbeautyshop.com(production)This inconsistency was also noted in
supabase/functions/create-cod-order/index.tswhere the fallback URL was corrected to remove this prefix.🔧 Suggested fix
- "homepage": "https://https-www-asperbeautyshop-com.lovable.app", + "homepage": "https://asperbeautyshop-com.lovable.app",🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@package.json` at line 6, The package.json "homepage" value is malformed ("https://https-www-asperbeautyshop-com.lovable.app"); update the "homepage" field to a valid URL (either the Lovable preview form "https://www-asperbeautyshop-com.lovable.app" or the production URL "https://asperbeautyshop.com") and ensure the same corrected host is used consistently where referenced (e.g., the fallback URL in supabase/functions/create-cod-order/index.ts) so no duplicated "https-" prefix remains.src/index.css-255-270 (1)
255-270:⚠️ Potential issue | 🟡 MinorUse brand tokens instead of hardcoded Dr. Bot colors.
These new classes hardcode ivory/white/burgundy shades that drift from the required brand palette and token system.
Proposed fix
.dr-bot-glass { - background: rgba(245, 241, 232, 0.85); + background: hsl(var(--soft-ivory) / 0.85); backdrop-filter: blur(12px); -webkit-backdrop-filter: blur(12px); } .gold-stitch-card { - border: 1px solid `#C5A028`; - background: rgba(255, 255, 255, 0.9); - box-shadow: 0 1px 3px rgba(197, 160, 40, 0.08); + border: 1px solid hsl(var(--shiny-gold)); + background: hsl(var(--soft-ivory) / 0.9); + box-shadow: 0 1px 3px hsl(var(--shiny-gold) / 0.08); } .dr-bot-burgundy-muted { - background: rgba(106, 30, 42, 0.1); + background: hsl(var(--maroon) / 0.1); }As per coding guidelines: "/*.{css,scss,tw}: Use brand colors: maroon (
#800020), shiny-gold, and soft-ivory".🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/index.css` around lines 255 - 270, Replace hardcoded hex/rgba values in the Dr. Bot classes with the brand color tokens: use the soft-ivory token for .dr-bot-glass background (preserving the 0.85 opacity), use the shiny-gold token for .gold-stitch-card border and for the box-shadow color (adjust alpha to match current visual weight) and use the maroon token for .dr-bot-burgundy-muted background (with 0.1 opacity). Update .dr-bot-glass, .gold-stitch-card, and .dr-bot-burgundy-muted to reference the CSS color variables (e.g., --color-soft-ivory, --color-shiny-gold, --color-maroon) and apply opacity via rgba() or CSS color-mix() so the styles conform to the brand token system.README.md-25-27 (1)
25-27:⚠️ Potential issue | 🟡 MinorCross-platform note should include Windows path variants.
The section says macOS/Windows/Linux, but only Unix-style paths are listed. Add Windows equivalents (e.g.,
%USERPROFILE%\.claude\projects\and%USERPROFILE%\.codex\sessions\) to avoid confusion.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@README.md` around lines 25 - 27, Update the "Claude Code and Codex Assist (VS Code extension)" paragraph to include Windows-style path variants alongside the existing Unix-style ones: add something like the Windows equivalents using %USERPROFILE%\.claude\projects\ and %USERPROFILE%\.codex\sessions\ (or explain %USERPROFILE% as the user's home directory) so the section clearly lists both Unix (macOS/Linux) and Windows paths for browsing chat history.docs/MASTER_BRAND_AND_ARCHITECTURE_BLUEPRINT.md-66-66 (1)
66-66:⚠️ Potential issue | 🟡 MinorAvoid prescribing
transition-allin this blueprint.Line 66 conflicts with the stricter design spec that bans
transition: all; this should be property-specific to stay consistent across docs.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/MASTER_BRAND_AND_ARCHITECTURE_BLUEPRINT.md` at line 66, The blueprint currently prescribes `transition-all duration-300` for the Gold Stitch example; change this to a property-specific transition (e.g., use `transition-border`, `transition-colors`, or `transition-opacity` with `duration-300`) so the recommended CSS no longer uses `transition: all`; update the text referencing `transition-all` in the Gold Stitch line (`hover:border-gold`, `border-[`#C5A028`]`) to mention the specific transition property instead.docs/PLAN_FULL_AND_CLEAN_DESIGN.md-228-228 (1)
228-228:⚠️ Potential issue | 🟡 MinorSection 5.1 contradicts the animation rule on
transition: all.Line 228 prescribes
transition: all, but Line 312 explicitly forbids it. This should be harmonized so implementers don’t follow the wrong pattern.Also applies to: 311-313
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/PLAN_FULL_AND_CLEAN_DESIGN.md` at line 228, Section 5.1 conflicts with the rule banning "transition: all" (mentioned around Line 312); update the occurrence "transition: all 0.3s ease" in the document so it no longer uses the forbidden global property and instead lists explicit properties (e.g., replace "transition: all 0.3s ease" with a comma-separated list of the specific properties to animate), and revise Section 5.1 text to clearly state the convention (forbid "transition: all" and require explicit property lists) so both the example and the rule are consistent.docs/PLAN_FULL_AND_CLEAN_DESIGN.md-43-43 (1)
43-43:⚠️ Potential issue | 🟡 MinorResolve conflicting
color-gold-mutedtoken values.Line 43 defines
#D4B547, while Line 65 defines#D4B04Afor the same token. Keep a single value to avoid inconsistent implementations.Also applies to: 65-65
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/PLAN_FULL_AND_CLEAN_DESIGN.md` at line 43, Resolve the conflicting color token by choosing one canonical hex value for the token name color-gold-muted and removing or replacing the duplicate; update all occurrences so color-gold-muted is defined only once (e.g., keep either `#D4B547` or `#D4B04A`) and ensure any references in the document or design tokens point to that single definition to avoid inconsistent implementations.scripts/catalog-enrichment/shopify-extractor.ts-53-55 (1)
53-55:⚠️ Potential issue | 🟡 MinorAdmin query hardcodes
first: 50, ignoringbatchSizeparameter.The
ADMIN_QUERYhasfirst: 50hardcoded, butextractUnenrichedProductsaccepts abatchSizeparameter (default 50). Either parameterize the query or document that admin mode ignores the batchSize.Proposed fix: parameterize the admin query
const ADMIN_QUERY = ` - query GetUnenrichedProducts($cursor: String) { - products(first: 50, after: $cursor, query: "NOT tag:enriched_v1") { + query GetUnenrichedProducts($cursor: String, $first: Int!) { + products(first: $first, after: $cursor, query: "NOT tag:enriched_v1") {Then update fetchPage:
const body = this.mode === "storefront" ? { query: STOREFRONT_QUERY, variables: { first, cursor } } - : { query: ADMIN_QUERY, variables: { cursor } }; + : { query: ADMIN_QUERY, variables: { first, cursor } };🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@scripts/catalog-enrichment/shopify-extractor.ts` around lines 53 - 55, ADMIN_QUERY currently hardcodes "first: 50" causing extractUnenrichedProducts' batchSize to be ignored; change ADMIN_QUERY to accept a GraphQL variable (e.g., $first) and use it in place of the literal, then update fetchPage (or the function that executes the query) to pass the batchSize (or default) as that variable when calling the ADMIN_QUERY; ensure extractUnenrichedProducts and any callers continue to expose batchSize and forward it into fetchPage so admin mode respects the parameter.scripts/catalog-enrichment/gemini-auditor.ts-254-271 (1)
254-271:⚠️ Potential issue | 🟡 MinorUse header authentication for Gemini API key and increase
maxOutputTokensfor batch responses.The Gemini API recommends passing the API key via the
x-goog-api-keyheader, not as a URL query parameter. Using the URL approach exposes the key in server logs, browser history, and network monitoring tools.Additionally,
maxOutputTokens: 1024is insufficient for batch mode. WithBATCH_SIZE = 10and each product returning a JSON object with clinical reasoning and eight categorization fields, the total output will likely exceed this limit and cause truncation. Increase to at least4096or higher depending on expected response complexity.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@scripts/catalog-enrichment/gemini-auditor.ts` around lines 254 - 271, In callGemini replace passing the API key on the URL (the `${geminiEndpoint()}?key=${this.apiKey}` usage) with header-based auth by adding an "x-goog-api-key" header set to this.apiKey and removing the key query param from the fetch URL; also increase generationConfig.maxOutputTokens from 1024 to at least 4096 (or higher) to avoid truncation for batch responses (consider BATCH_SIZE and expected per-product JSON size) — update the fetch call, headers object, and the generationConfig in the callGemini method accordingly.src/lib/drBotPersona.ts-133-134 (1)
133-134:⚠️ Potential issue | 🟡 MinorDon't route every serum into the clinical bucket.
title.includes("serum")is broad enough to classify many purely cosmetic serums as clinical, which will skew the Dr. Sami / Ms. Zain split and downstream recommendations. Tighten this fallback to treatment-specific actives or require a corroborating clinical tag/concern first.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/lib/drBotPersona.ts` around lines 133 - 134, The current fallback treats any title containing "serum" as clinical; change the logic in the block that uses tags, clinicalTags and title so "serum" alone is not sufficient—require either (a) a corroborating clinical tag/concern from tags/clinicalTags or (b) the title to contain a known clinical active/prescription indicator (e.g., retinol/tretinoin/hydroquinone/adapalene/benzoyl or "prescription"/"injectable"/"treatment") before returning true; update the condition that currently reads if (title.includes("treatment") || title.includes("serum") || title.includes("active")) to check for serum+corroboration or title matching the clinical-active list instead, and centralize the clinical-active keywords into a named array (e.g., clinicalActives) for clarity.
ℹ️ Review info
⚙️ Run configuration
Configuration used: Repository UI
Review profile: CHILL
Plan: Pro
Run ID: c4af860e-a505-4042-bb0a-f3c430ca3a2a
⛔ Files ignored due to path filters (3)
asper-n_l-v7-evals.csvis excluded by!**/*.csvbeauty-assistant.zipis excluded by!**/*.zippackage-lock.jsonis excluded by!**/package-lock.json
📒 Files selected for processing (57)
.cursor/skills/understand-skill-installer/SKILL.md.cursor/skills/understand-skill-lister/SKILL.md.env.example.github/instructions/README.instructions.md.gitignoreREADME.mdSUPABASE_MASTER_PROFILE.mddocs/ASPER_WEBSITE_DATA_AND_LINKS.mddocs/LAUNCH_CHECKLIST_ONE_PAGE.mddocs/MASTER_BRAND_AND_ARCHITECTURE_BLUEPRINT.mddocs/MONITOR_WHERE_TO_CHECK.mddocs/PLAN_FULL_AND_CLEAN_DESIGN.mddocs/SOCIAL_AND_BRAIN_MASTER.mdindex.htmlpackage.jsonscripts/anthropic-pdf-catalog-analyze.pyscripts/anthropic-plan-context.example.pyscripts/brain-check.jsscripts/catalog-enrichment/README.mdscripts/catalog-enrichment/config.tsscripts/catalog-enrichment/gemini-auditor.tsscripts/catalog-enrichment/index.tsscripts/catalog-enrichment/schema-validator.tsscripts/catalog-enrichment/shopify-extractor.tsscripts/catalog-enrichment/supabase-upserter.tsscripts/catalog-enrichment/types.tsscripts/health-check.jsscripts/sync-check.jsscripts/sync-shopify-catalog.tssrc/App.tsxsrc/components/AIConcierge.tsxsrc/components/BeautyAssistant.tsxsrc/components/ChatBot.tsxsrc/components/ChatProductCard.tsxsrc/components/FloatingSocials.tsxsrc/components/Footer.tsxsrc/components/HeroSection.tsxsrc/components/HeroSlider.tsxsrc/components/SocialBeautyExpert.tsxsrc/components/home/SocialGallery.tsxsrc/hooks/useDrBotProducts.tssrc/index.csssrc/lib/drBotPersona.tssrc/lib/drBotProducts.tssrc/pages/BrandShowcase.tsxsrc/pages/Contact.tsxsrc/pages/Index.tsxsrc/pages/Intelligence.tsxsrc/pages/LabTools.tsxsrc/vite-env.d.tssupabase/config.tomlsupabase/functions/beauty-assistant/index.tssupabase/functions/create-cod-order/index.tssupabase/functions/gemini-tts/index.tssupabase/functions/tray/index.tssupabase/migrations/20260303000000_digital_tray_products.sqlsupabase/migrations/20260303100000_digital_tray_products_enrichment_columns.sql
💤 Files with no reviewable changes (1)
- .cursor/skills/understand-skill-installer/SKILL.md
| #{ | ||
| "id": "msg_01NgyVzvzqhQvdihoSKrCu8A", | ||
| "type": "message", | ||
| "role": "assistant", | ||
| "model": "claude-sonnet-4-6", | ||
| "content": [ | ||
| { | ||
| "type": "text", | ||
| "text": "# Chrono-Stratigraphy: Asper Integration Analysis\n\n## What Gemini Built vs. What Asper Needs\n\nGemini produced a technically beautiful standalone generative art system. The domain-warping algorithm using PHI as a harmonic anchor is genuinely sophisticated. But it exists in a vacuum — no Supabase, no Shopify, no skin concern taxonomy, no bilingual RTL support, no maroon/gold/ivory palette, no Tajawal font. It is gallery art cosplaying as a product feature.\n\nThe task now is to take the algorithmic soul — the Chrono-Stratigraphy particle physics — and make it *earn its place* in the Asper ecosystem.\n\n---\n\n## Integration Architecture\n\n```\nUser selects skin concern (3-Click Funnel)\n ↓\nConcern → deterministic seed mapping\n ↓\nChrono-Stratigraphy renders as hero background\n ↓\nPalette locked to Asper design system\n ↓\ndigital_tray_products filtered by concern\n ↓\nProducts float over the living canvas\n```\n\n---\n\n## Full Integration Implementation\n\n```html\n<!DOCTYPE html>\n<html lang=\"en\" dir=\"ltr\">\n<head>\n <meta charset=\"UTF-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Asper — Find Your Ritual</title>\n\n <script src=\"https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.7.0/p5.min.js\"></script>\n\n <link rel=\"preconnect\" href=\"https://fonts.googleapis.com\">\n <link href=\"https://fonts.googleapis.com/css2?\n family=Playfair+Display:ital,wght@0,400;0,600;0,700;1,400&\n family=Montserrat:wght@300;400;500;600&\n family=Tajawal:wght@300;400;500;700&\n display=swap\" rel=\"stylesheet\">\n\n <style>\n /* ─── Design System Tokens ─────────────────────────────────────── */\n :root {\n --color-ivory: #F8F8FF;\n --color-ivory-dark: #F0F0F8;\n --color-maroon: #800020;\n --color-maroon-light: #A0002A;\n --color-gold: #C5A028;\n --color-gold-muted: #D4B547;\n --color-charcoal: #333333;\n --color-charcoal-light: #666666;\n\n /* Animation */\n --ease-luxury: cubic-bezier(0.25, 0.46, 0.45, 0.94);\n --ease-snap: cubic-bezier(0.68, -0.55, 0.265, 1.55);\n --dur-fast: 150ms;\n --dur-normal: 300ms;\n --dur-slow: 600ms;\n }\n\n * {\n box-sizing: border-box;\n margin: 0;\n padding: 0;\n }\n\n body {\n font-family: 'Montserrat', sans-serif;\n background: var(--color-ivory);\n color: var(--color-charcoal);\n overflow-x: hidden;\n }\n\n /* ─── RTL Typography Override ───────────────────────────────────── */\n [dir=\"rtl\"] h1, [dir=\"rtl\"] h2, [dir=\"rtl\"] h3,\n [dir=\"rtl\"] p, [dir=\"rtl\"] span, [dir=\"rtl\"] button,\n [dir=\"rtl\"] label {\n font-family: 'Tajawal', sans-serif;\n }\n\n [dir=\"rtl\"] h1, [dir=\"rtl\"] h2 {\n font-weight: 700;\n font-size: 1.1em;\n }\n\n [dir=\"rtl\"] p, [dir=\"rtl\"] span {\n line-height: 1.9;\n }\n\n /* ─── Language Toggle ───────────────────────────────────────────── */\n .lang-toggle {\n position: fixed;\n top: 20px;\n /* Logical property — moves to correct side in both directions */\n inset-inline-end: 24px;\n z-index: 100;\n display: flex;\n gap: 4px;\n background: rgba(248, 248, 255, 0.85);\n backdrop-filter: blur(8px);\n border: 1px solid rgba(197, 160, 40, 0.3);\n border-radius: 9999px;\n padding: 4px;\n }\n\n .lang-btn {\n padding: 6px 14px;\n border-radius: 9999px;\n border: none;\n background: transparent;\n font-size: 13px;\n font-weight: 500;\n cursor: pointer;\n color: var(--color-charcoal-light);\n transition: all var(--dur-normal) var(--ease-luxury);\n font-family: 'Montserrat', sans-serif;\n }\n\n .lang-btn.active {\n background: var(--color-maroon);\n color: var(--color-ivory);\n }\n\n /* ─── Canvas Layer (Background) ─────────────────────────────────── */\n #canvas-host {\n position: fixed;\n inset: 0;\n z-index: 0;\n /* Canvas fades in on concern selection */\n opacity: 0;\n transition: opacity 1.2s var(--ease-luxury);\n }\n\n #canvas-host.visible {\n opacity: 1;\n }\n\n /* Ivory wash overlay — keeps canvas from overwhelming UI */\n #canvas-host::after {\n content: '';\n position: absolute;\n inset: 0;\n background: linear-gradient(\n to bottom,\n rgba(248, 248, 255, 0.15) 0%,\n rgba(248, 248, 255, 0.45) 60%,\n rgba(248, 248, 255, 0.75) 100%\n );\n }\n\n /* ─── Main Layout ───────────────────────────────────────────────── */\n .page {\n position: relative;\n z-index: 1;\n min-height: 100vh;\n display: flex;\n flex-direction: column;\n align-items: center;\n }\n\n /* ─── Hero Section ──────────────────────────────────────────────── */\n .hero {\n text-align: center;\n padding: 80px 24px 48px;\n max-width: 680px;\n }\n\n .hero-eyebrow {\n font-size: 11px;\n text-transform: uppercase;\n letter-spacing: 0.12em;\n font-weight: 600;\n color: var(--color-gold);\n margin-block-end: 16px;\n }\n\n .hero-title {\n font-family: 'Playfair Display', serif;\n font-size: clamp(2rem, 5vw, 3.5rem);\n font-weight: 700;\n line-height: 1.15;\n color: var(--color-charcoal);\n margin-block-end: 16px;\n }\n\n .hero-title em {\n font-style: italic;\n color: var(--color-maroon);\n }\n\n .hero-subtitle {\n font-size: 1rem;\n color: var(--color-charcoal-light);\n line-height: 1.7;\n max-width: 480px;\n margin: 0 auto;\n }\n\n /* ─── Concern Funnel ────────────────────────────────────────────── */\n .funnel-section {\n width: 100%;\n max-width: 900px;\n padding: 0 24px 48px;\n }\n\n .funnel-label {\n text-align: center;\n font-size: 11px;\n text-transform: uppercase;\n letter-spacing: 0.10em;\n font-weight: 600;\n color: var(--color-charcoal-light);\n margin-block-end: 20px;\n }\n\n .concern-grid {\n display: grid;\n grid-template-columns: repeat(4, 1fr);\n gap: 12px;\n }\n\n @media (max-width: 640px) {\n .concern-grid {\n grid-template-columns: repeat(2, 1fr);\n }\n }\n\n .concern-card {\n display: flex;\n flex-direction: column;\n align-items: center;\n gap: 8px;\n padding: 18px 12px;\n background: rgba(248, 248, 255, 0.8);\n backdrop-filter: blur(6px);\n border: 1px solid rgba(197, 160, 40, 0.2);\n border-radius: 16px;\n cursor: pointer;\n transition: all var(--dur-normal) var(--ease-luxury);\n text-align: center;\n /* Logical padding */\n padding-inline: 12px;\n }\n\n .concern-card:hover {\n border-color: rgba(197, 160, 40, 0.5);\n background: rgba(248, 248, 255, 0.95);\n box-shadow: 0 4px 24px rgba(197, 160, 40, 0.12);\n transform: translateY(-2px);\n }\n\n .concern-card.active {\n background: var(--color-maroon);\n border-color: var(--color-maroon);\n box-shadow: 0 8px 32px rgba(128, 0, 32, 0.25);\n transform: translateY(-3px);\n }\n\n .concern-card.active .concern-emoji,\n .concern-card.active .concern-name {\n color: var(--color-ivory);\n }\n\n .concern-card.active .concern-badge-pill {\n background: rgba(248, 248, 255, 0.2);\n border-color: rgba(248, 248, 255, 0.4);\n color: var(--color-gold-muted);\n }\n\n .concern-emoji {\n font-size: 28px;\n line-height: 1;\n }\n\n .concern-name {\n font-size: 12px;\n font-weight: 600;\n color: var(--color-charcoal);\n text-transform: uppercase;\n letter-spacing: 0.06em;\n }\n\n .concern-badge-pill {\n font-size: 10px;\n font-weight: 500;\n padding: 2px 10px;\n background: rgba(197, 160, 40, 0.10);\n border: 1px solid rgba(197, 160, 40, 0.35);\n border-radius: 9999px;\n color: var(--color-gold);\n letter-spacing: 0.04em;\n }\n\n /* ─── Digital Tray (Product Grid) ───────────────────────────────── */\n .tray-section {\n width: 100%;\n max-width: 1000px;\n padding: 0 24px 80px;\n opacity: 0;\n transform: translateY(24px);\n transition:\n opacity var(--dur-slow) var(--ease-luxury),\n transform var(--dur-slow) var(--ease-luxury);\n }\n\n .tray-section.visible {\n opacity: 1;\n transform: translateY(0);\n }\n\n .tray-header {\n text-align: center;\n margin-block-end: 32px;\n }\n\n .tray-title {\n font-family: 'Playfair Display', serif;\n font-size: 1.75rem;\n font-weight: 600;\n color: var(--color-charcoal);\n margin-block-end: 8px;\n }\n\n .tray-meta {\n font-size: 0.875rem;\n color: var(--color-charcoal-light);\n }\n\n .tray-meta strong {\n color: var(--color-maroon);\n font-weight: 600;\n }\n\n /* ─── Product Cards ─────────────────────────────────────────────── */\n .product-grid {\n display: grid;\n grid-template-columns: repeat(3, 1fr);\n gap: 24px;\n }\n\n @media (max-width: 768px) {\n .product-grid {\n grid-template-columns: repeat(2, 1fr);\n }\n }\n\n @media (max-width: 480px) {\n .product-grid {\n grid-template-columns: 1fr;\n }\n }\n\n .product-card {\n background: rgba(248, 248, 255, 0.92);\n backdrop-filter: blur(12px);\n border: 1px solid rgba(197, 160, 40, 0.20);\n border-radius: 16px;\n overflow: hidden;\n transition: all var(--dur-normal) var(--ease-luxury);\n box-shadow: 0 4px 24px rgba(197, 160, 40, 0.06);\n }\n\n .product-card:hover {\n border-color: rgba(197, 160, 40, 0.40);\n box-shadow: 0 8px 40px rgba(197, 160, 40, 0.12);\n transform: translateY(-4px);\n }\n\n .product-image {\n aspect-ratio: 1;\n background: var(--color-ivory-dark);\n display: flex;\n align-items: center;\n justify-content: center;\n overflow: hidden;\n }\n\n .product-image img {\n width: 100%;\n height: 100%;\n object-fit: cover;\n /* Cap scale to design spec */\n transition: transform var(--dur-slow) var(--ease-luxury);\n }\n\n .product-card:hover .product-image img {\n transform: scale(1.04);\n }\n\n /* Placeholder when image absent */\n .product-image-placeholder {\n width: 60%;\n height: 60%;\n background: linear-gradient(\n 135deg,\n rgba(197, 160, 40, 0.1),\n rgba(128, 0, 32, 0.08)\n );\n border-radius: 50%;\n display: flex;\n align-items: center;\n justify-content: center;\n font-size: 40px;\n }\n\n .product-body {\n padding: 20px;\n }\n\n .product-brand {\n font-size: 10px;\n text-transform: uppercase;\n letter-spacing: 0.10em;\n font-weight: 600;\n color: var(--color-gold);\n margin-block-end: 4px;\n }\n\n .product-name {\n font-family: 'Playfair Display', serif;\n font-size: 1.1rem;\n font-weight: 600;\n color: var(--color-charcoal);\n margin-block-end: 12px;\n line-height: 1.3;\n }\n\n .ingredient-list {\n list-style: none;\n margin-block-end: 12px;\n }\n\n .ingredient-list li {\n font-size: 12px;\n color: var(--color-charcoal-light);\n padding-block: 3px;\n display: flex;\n align-items: center;\n gap: 6px;\n }\n\n .ingredient-list li::before {\n content: '✦';\n color: var(--color-gold);\n font-size: 8px;\n flex-shrink: 0;\n }\n\n .clinical-note {\n font-size: 12px;\n font-style: italic;\n color: var(--color-maroon);\n line-height: 1.5;\n padding: 10px 12px;\n background: rgba(128, 0, 32, 0.04);\n border-inline-start: 2px solid var(--color-maroon);\n border-radius: 0 8px 8px 0;\n margin-block-end: 16px;\n }\n\n .product-footer {\n display: flex;\n align-items: center;\n justify-content: space-between;\n gap: 12px;\n /* Logical direction */\n flex-direction: row;\n }\n\n .product-price {\n font-size: 1.1rem;\n font-weight: 600;\n color: var(--color-charcoal);\n }\n\n .add-to-tray-btn {\n padding: 9px 18px;\n background: var(--color-maroon);\n color: var(--color-ivory);\n border: none;\n border-radius: 8px;\n font-family: 'Montserrat', sans-serif;\n font-size: 12px;\n font-weight: 600;\n cursor: pointer;\n letter-spacing: 0.04em;\n transition: background var(--dur-fast) var(--ease-luxury);\n white-space: nowrap;\n }\n\n .add-to-tray-btn:hover {\n background: var(--color-maroon-light);\n }\n\n /* Confidence badge on card */\n .confidence-badge {\n display: inline-flex;\n align-items: center;\n gap: 4px;\n padding: 3px 10px;\n background: rgba(197, 160, 40, 0.10);\n border: 1px solid rgba(197, 160, 40, 0.35);\n border-radius: 9999px;\n font-size: 10px;\n font-weight: 500;\n color: var(--color-gold);\n letter-spacing: 0.05em;\n margin-block-end: 12px;\n }\n\n .confidence-dot {\n width: 6px;\n height: 6px;\n border-radius: 50%;\n background: var(--color-gold);\n }\n\n /* ─── Canvas-derived Stratum Indicator ──────────────────────────── */\n /* Shows which \"geological era\" the current concern maps to */\n .stratum-bar {\n position: fixed;\n bottom: 0;\n inset-inline-start: 0;\n inset-inline-end: 0;\n height: 3px;\n background: var(--color-gold);\n transform: scaleX(0);\n transform-origin: inline-start;\n transition: transform 1.5s var(--ease-luxury);\n z-index: 50;\n }\n\n .stratum-bar.active {\n transform: scaleX(1);\n }\n\n /* ─── Loading State ──────────────────────────────────────────────── */\n .loading-shimmer {\n background: linear-gradient(\n 90deg,\n var(--color-ivory-dark) 0%,\n rgba(197, 160, 40, 0.08) 50%,\n var(--color-ivory-dark) 100%\n );\n background-size: 200% 100%;\n animation: shimmer 1.5s ease-in-out infinite;\n }\n\n @keyframes shimmer {\n 0% { background-position: 200% 0; }\n 100% { background-position: -200% 0; }\n }\n </style>\n</head>\n<body>\n\n<!-- Language Toggle -->\n<div class=\"lang-toggle\" role=\"group\" aria-label=\"Language selector\">\n <button class=\"lang-btn active\" onclick=\"setLanguage('en')\" id=\"btn-en\">EN</button>\n <button class=\"lang-btn\" onclick=\"setLanguage('ar')\" id=\"btn-ar\">ع</button>\n</div>\n\n<!-- Living Canvas Background (Chrono-Stratigraphy) -->\n<div id=\"canvas-host\"></div>\n\n<!-- Stratum progress bar -->\n<div class=\"stratum-bar\" id=\"stratum-bar\"></div>\n\n<!-- Main Content -->\n<main class=\"page\">\n\n <!-- Hero -->\n <section class=\"hero\">\n <p class=\"hero-eyebrow\" data-i18n=\"eyebrow\">Clinical Skincare</p>\n <h1 class=\"hero-title\" data-i18n-html=\"title\">\n Your skin tells a<br><em>geological story.</em>\n </h1>\n <p class=\"hero-subtitle\" data-i18n=\"subtitle\">\n Select your primary concern. Our algorithm reads\n the terrain of your skin and surfaces the exact\n formulas your biology is asking for.\n </p>\n </section>\n\n <!-- 3-Click Concern Funnel -->\n <section class=\"funnel-section\">\n <p class=\"funnel-label\" data-i18n=\"funnel_label\">\n Step 1 — Choose your concern\n </p>\n\n <div class=\"concern-grid\" id=\"concern-grid\">\n <!-- Injected by JS -->\n </div>\n </section>\n\n <!-- Digital Tray -->\n <section class=\"tray-section\" id=\"tray-section\">\n <div class=\"tray-header\">\n <h2 class=\"tray-title\" data-i18n=\"tray_title\">Your Ritual Tray</h2>\n <p class=\"tray-meta\" id=\"tray-meta\"></p>\n </div>\n <div class=\"product-grid\" id=\"product-grid\">\n <!-- Products injected by JS -->\n </div>\n </section>\n\n</main>\n\n<!-- ═══════════════════════════════════════════════════════════\n JAVASCRIPT: SYSTEM INTEGRATION\n ═══════════════════════════════════════════════════════════ -->\n<script>\n\n/* ─────────────────────────────────────────────────────────────\n 1. DESIGN SYSTEM CONSTANTS (mirrors PLAN_FULL_AND_CLEAN_DESIGN.md)\n───────────────────────────────────────────────────────────── */\n\nconst PHI = 1.61803398875; // Golden Ratio — harmonic anchor\n\n// Each concern maps to:\n// seed: deterministic canvas seed for this concern's terrain\n// palette: Asper palette variant index\n// emoji: funnel card icon\n// paletteColors: actual hex arrays conforming to Asper palette rules\n// - Base always derived from maroon/gold/ivory system\n// - 3 palettes: warm-oxidized, cool-abyssal, neutral-ash\n\nconst CONCERN_CONFIG = {\n brightening: {\n seed: 1618, // PHI × 1000 — the brightening era\n paletteIndex: 0,\n emoji: '✨',\n colorStory: 'Golden Dawn',\n paletteColors: [\n '#1A0A00', '#3D1F00', '#800020', '#A0002A',\n '#C5A028', '#D4B547', '#E8D090', '#F8F8FF',\n '#F0F0F8', '#FFFFFF'\n ]\n },\n sun_protection: {\n seed: 2618, // PHI × 1618\n paletteIndex: 1,\n emoji: '☀️',\n colorStory: 'Solar Strata',\n paletteColors: [\n '#0D0A00', '#2A2000', '#4A3800', '#C5A028',\n '#D4B547', '#E8D090', '#F5ECC8', '#F8F8FF',\n '#800020', '#A0002A'\n ]\n },\n dark_circles: {\n seed: 3141,\n paletteIndex: 2,\n emoji: '🌙',\n colorStory: 'Abyssal Rest',\n paletteColors: [\n '#050210', '#0D0826', '#1A1040', '#2D1B5E',\n '#800020', '#A0002A', '#C5A028', '#D4B547',\n '#E8E4F8', '#F8F8FF'\n ]\n },\n anti_aging: {\n seed: 2718, // e × 1000\n paletteIndex: 0,\n emoji: '⏳',\n colorStory: 'Deep Sediment',\n paletteColors: [\n '#1A0510', '#3D0820', '#800020', '#9B0025',\n '#B5002C', '#C5A028', '#D4B547', '#E8D090',\n '#F0ECE0', '#F8F8FF'\n ]\n },\n dryness: {\n seed: 5772,\n paletteIndex: 1,\n emoji: '💧',\n colorStory: 'Desert Bloom',\n paletteColors: [\n '#0A0800', '#1E1800', '#3A2E00', '#800020',\n '#A0002A', '#C5A028', '#DCC876', '#EDE4B8',\n '#F5F0E0', '#F8F8FF'\n ]\n },\n acne: {\n seed: 1000,\n paletteIndex: 2,\n emoji: '🌿',\n colorStory: 'Clay & Mineral',\n paletteColors: [\n '#081008', '#103818', '#1A5C28', '#2E8040',\n '#800020', '#A0002A', '#C5A028', '#D4B547',\n '#E8F0E8', '#F8F8FF'\n ]\n },\n sensitivity: {\n seed: 1414, // √2 × 1000\n paletteIndex: 1,\n emoji: '🌸',\n colorStory: 'Porcelain Layer',\n paletteColors: [\n '#150810', '#2E1020', '#800020', '#A0002A',\n '#C5A028', '#E8D0D8', '#F0E4E8', '#F8F0F2',\n '#F8F8FF', '#FFFFFF'\n ]\n },\n hyperpigmentation: {\n seed: 1732, // √3 × 1000\n paletteIndex: 0,\n emoji: '🎯',\n colorStory: 'Mineral Fade',\n paletteColors: [\n '#100A00', '#2A1800', '#4A2C00', '#800020',\n '#A0002A', '#C08010', '#C5A028', '#D4B547',\n '#EDE0C0', '#F8F8FF'\n ]\n }\n};\n\n/* ─────────────────────────────────────────────────────────────\n 2. TRANSLATIONS (EN / AR)\n───────────────────────────────────────────────────────────── */\n\nconst I18N = {\n en: {\n eyebrow: 'Clinical Skincare',\n title_html: 'Your skin tells a<br><em>geological story.</em>',\n subtitle: 'Select your primary concern. Our algorithm reads the terrain of your skin and surfaces the exact formulas your biology is asking for.',\n funnel_label:'Step 1 — Choose your concern',\n tray_title: 'Your Ritual Tray',\n add_btn: 'Add to Tray',\n ai_match: 'AI Match',\n concerns: {\n brightening: 'Brightening',\n sun_protection: 'Sun Protection',\n dark_circles: 'Dark Circles',\n anti_aging: 'Anti-Aging',\n dryness: 'Dryness',\n acne: 'Acne',\n sensitivity: 'Sensitivity',\n hyperpigmentation: 'Pigmentation',\n },\n tray_meta: (concern, count) =>\n `<strong>${count} formulas</strong> matched to <strong>${concern}</strong>`,\n confidence: (score) => `${Math.round(score * 100)}% AI match`,\n },\n ar: {\n eyebrow: 'العناية الإكلينيكية بالبشرة',\n title_html: 'بشرتكِ تحكي<br><em>قصة جيولوجية.</em>',\n subtitle: 'اختاري مصدر قلقكِ الرئيسي. تقرأ خوارزميتنا تضاريس بشرتكِ وتقترح التركيبات الدقيقة التي يحتاجها جسمكِ.',\n funnel_label:'الخطوة ١ — اختاري اهتمامكِ',\n tray_title: 'صينيتكِ العلاجية',\n add_btn: 'أضيفي للصينية',\n ai_match: 'مطابقة ذكاء اصطناعي',\n concerns: {\n brightening: 'الإشراق',\n sun_protection: 'الحماية من الشمس',\n dark_circles: 'الهالات الداكنة',\n anti_aging: 'مكافحة الشيخوخة',\n dryness: 'الجفاف',\n acne: 'حبّ الشباب',\n sensitivity: 'الحساسية',\n hyperpigmentation: 'التصبغات',\n },\n tray_meta: (concern, count) =>\n `<strong>${count} تركيبة</strong> مطابقة لـ<strong>${concern}</strong>`,\n confidence: (score) => `${Math.round(score * 100)}% مطابقة`,\n }\n};\n\nlet currentLang = 'en';\n\nfunction t(key) {\n return I18N[currentLang][key] ?? I18N.en[key];\n}\n\n/* ─────────────────────────────────────────────────────────────\n 3. LANGUAGE SYSTEM\n Single source of truth — mirrors LanguageToggle.tsx logic\n───────────────────────────────────────────────────────────── */\n\nfunction setLanguage(lang) {\n currentLang = lang;\n const root = document.documentElement;\n root.setAttribute('lang', lang);\n root.setAttribute('dir', lang === 'ar' ? 'rtl' : 'ltr');\n localStorage.setItem('asper_language', lang);\n\n // Toggle active state\n document.getElementById('btn-en').classList.toggle('active', lang === 'en');\n document.getElementById('btn-ar').classList.toggle('active', lang === 'ar');\n\n // Re-render all translated content\n renderConcernGrid();\n if (activeConcern) renderProducts(activeConcern);\n}\n\n/* ─────────────────────────────────────────────────────────────\n 4. MOCK PRODUCT DATA (replaces Supabase query in demo)\n In production: replace fetchProductsForConcern() with\n Supabase select from digital_tray_products\n───────────────────────────────────────────────────────────── */\n\nconst MOCK_PRODUCTS = {\n brightening: [\n {\n shopify_product_id: 'SP001',\n title: 'Luminos Vitamin C Serum 20%',\n brand: 'Asper Clinical',\n price: 'SAR 189',\n skin_concerns: ['brightening', 'hyperpigmentation'],\n skin_types: ['all'],\n key_ingredients: ['Vitamin C (L-Ascorbic 20%)', 'Ferulic Acid', 'Vitamin E'],\n clinical_justification: 'L-Ascorbic acid at 20% concentration with ferulic acid stabilization provides clinically proven melanin synthesis inhibition.',\n ai_confidence_score: 0.97,\n image_emoji: '🧴'\n },\n {\n shopify_product_id: 'SP002',\n title: 'Radiance Niacinamide 10%',\n brand: 'Asper Clinical',\n price: 'SAR 145',\n skin_concerns: ['brightening', 'acne'],\n skin_types: ['oily', 'combination'],\n key_ingredients: ['Niacinamide 10%', 'Zinc PCA', 'Panthenol'],\n clinical_justification: 'Niacinamide at therapeutic 10% dose reduces melanosome transfer; zinc provides sebum regulation synergy.',\n ai_confidence_score: 0.94,\n image_emoji: '✨'\n },\n {\n shopify_product_id: 'SP003',\n title: 'Alpha Arbutin 2% Complex',\n brand: 'Asper Clinical',\n price: 'SAR 162',\n skin_concerns: ['brightening', 'hyperpigmentation'],\n skin_types: ['sensitive', 'dry'],\n key_ingredients: ['Alpha-Arbutin 2%', 'Kojic Acid', 'Hyaluronic Acid'],\n clinical_justification: 'Alpha-arbutin competitively inhibits tyrosinase with minimal irritation — optimal for sensitive brightening protocols.',\n ai_confidence_score: 0.91,\n image_emoji: '💫'\n }\n ],\n dryness: [\n {\n shopify_product_id: 'SP010',\n title: 'Ceramide Barrier Repair Cream',\n brand: 'Asper Clinical',\n price: 'SAR 220',\n skin_concerns: ['dryness', 'sensitivity'],\n skin_types: ['dry', 'sensitive'],\n key_ingredients: ['Ceramide NP', 'Ceramide AP', 'Squalane'],\n clinical_justification: 'Triple ceramide complex restores lipid bilayer integrity; squalane provides immediate transepidermal water loss reduction.',\n ai_confidence_score: 0.96,\n image_emoji: '🫧'\n },\n {\n shopify_product_id: 'SP011',\n title: 'HA Matrix Hydration Serum',\n brand: 'Asper Clinical',\n price: 'SAR 175',\n skin_concerns: ['dryness'],\n skin_types: ['all'],\n key_ingredients: ['Hyaluronic Acid (3 weights)', 'Betaine', 'Tremella Mushroom'],\n clinical_justification: 'Three molecular weights of HA target different skin depths; tremella polysaccharides outperform single-weight HA in 72hr hydration retention.',\n ai_confidence_score: 0.93,\n image_emoji: '💧'\n },\n {\n shopify_product_id: 'SP012',\n title: 'Squalane + Omega Facial Oil',\n brand: 'Asper Clinical',\n price: 'SAR 195',\n skin_concerns: ['dryness', 'anti_aging'],\n skin_types: ['dry', 'normal'],\n key_ingredients: ['Squalane (sugarcane)', 'Rosehip Oil', 'Chia Seed Oil'],\n clinical_justification: 'Non-comedogenic squalane identical to skin-native lipids; rosehip delivers trans-retinoic acid precursors for collagen support.',\n ai_confidence_score: 0.89,\n image_emoji: '🌿'\n }\n ],\n anti_aging: [\n {\n shopify_product_id: 'SP020',\n title: 'Retinaldehyde 0.1% Night Serum',\n brand: 'Asper Clinical',\n price: 'SAR 285',\n skin_concerns: ['anti_aging', 'acne'],\n skin_types: ['normal', 'combination'],\n key_ingredients: ['Retinaldehyde 0.1%', 'Bakuchiol', 'Peptide Complex'],\n clinical_justification: 'Retinaldehyde converts to retinoic acid 11x faster than retinol with significantly lower irritation profile; bakuchiol provides additive retinoid-pathway activation.',\n ai_confidence_score: 0.98,\n image_emoji: '⏳'\n },\n {\n shopify_product_id: 'SP021',\n title: 'Copper Peptide GHK-Cu Serum',\n brand: 'Asper Clinical',\n price: 'SAR 320',\n skin_concerns: ['anti_aging', 'dryness'],\n skin_types: ['all'],\n key_ingredients: ['GHK-Cu Copper Peptides', 'Matrixyl 3000', 'Argireline'],\n clinical_justification: 'GHK-Cu tripeptide activates metalloproteinase remodeling; Matrixyl 3000 stimulates procollagen Type I and III synthesis independently.',\n ai_confidence_score: 0.95,\n image_emoji: '🔬'\n },\n {\n shopify_product_id: 'SP022',\n title: 'Glycolic Acid 10% Resurfacing Tonic',\n brand: 'Asper Clinical',\n price: 'SAR 155',\n skin_concerns: ['anti_aging', 'brightening'],\n skin_types: ['oily', 'normal'],\n key_ingredients: ['Glycolic Acid 10%', 'Lactic Acid 5%', 'Aloe Vera'],\n clinical_justification: 'Glycolic acid at pH 3.5 provides optimized keratolytic activity; combined AHA approach targets multiple corneocyte binding points.',\n ai_confidence_score: 0.92,\n image_emoji: '✦'\n }\n ]\n};\n\n// Fallback products for concerns without specific mock data\nfunction getProductsForConcern(concern) {\n // In production: replace with Supabase call\n // const { data } = await supabase\n // .from('digital_tray_products')\n // .select('*')\n // .contains('skin_concerns', [concern])\n // .eq('requires_human_review', false)\n // .order('ai_confidence_score', { ascending: false })\n // .limit(6);\n\n return MOCK_PRODUCTS[concern] ?? MOCK_PRODUCTS.brightening;\n}\n\n/* ─────────────────────────────────────────────────────────────\n 5. CONCERN GRID RENDERER\n───────────────────────────────────────────────────────────── */\n\nfunction renderConcernGrid() {\n const grid = document.getElementById('concern-grid');\n const concerns = Object.keys(CONCERN_CONFIG);\n const langConcerns = I18N[currentLang].concerns;\n\n grid.innerHTML = concerns.map(concern => {\n const config = CONCERN_CONFIG[concern];\n const isActive = concern === activeConcern;\n\n return `\n <button\n class=\"concern-card ${isActive ? 'active' : ''}\"\n onclick=\"selectConcern('${concern}')\"\n aria-pressed=\"${isActive}\"\n aria-label=\"${langConcerns[concern]}\"\n >\n <span class=\"concern-emoji\" aria-hidden=\"true\">${config.emoji}</span>\n <span class=\"concern-name\">${langConcerns[concern]}</span>\n <span class=\"concern-badge-pill\">${config.colorStory}</span>\n </button>\n `;\n }).join('');\n}\n\n/* ─────────────────────────────────────────────────────────────\n 6. PRODUCT TRAY RENDERER\n───────────────────────────────────────────────────────────── */\n\nfunction renderProducts(concern) {\n const products = getProductsForConcern(concern);\n const tray = document.getElementById('tray-section');\n const grid = document.getElementById('product-grid');\n const metaEl = document.getElementById('tray-meta');\n const lang = I18N[currentLang];\n const concernName = lang.concerns[concern];\n\n // Update meta text\n metaEl.innerHTML = lang.tray_meta(concernName, products.length);\n\n // Shimmer loading state\n grid.innerHTML = Array(3).fill(`\n <div class=\"product-card loading-shimmer\" style=\"height: 420px; border-radius: 16px;\"></div>\n `).join('');\n\n tray.classList.add('visible');\n\n // Simulate async fetch (replace with real await in Supabase integration)\n setTimeout(() => {\n grid.innerHTML = products.map(p => renderProductCard(p)).join('');\n }, 600);\n}\n\nfunction renderProductCard(product) {\n const lang = I18N[currentLang];\n const confidence = lang.confidence(product.ai_confidence_score);\n const isRTL = currentLang === 'ar';\n\n const ingredientsHTML = product.key_ingredients\n .slice(0, 3)\n .map(ing => `<li>${ing}</li>`)\n .join('');\n\n return `\n <article class=\"product-card\" data-product-id=\"${product.shopify_product_id}\">\n <div class=\"product-image\">\n <div class=\"product-image-placeholder\">\n <span aria-hidden=\"true\">${product.image_emoji}</span>\n </div>\n </div>\n\n <div class=\"product-body\">\n <p class=\"product-brand\">${product.brand}</p>\n <h3 class=\"product-name\">${product.title}</h3>\n\n <span class=\"confidence-badge\">\n <span class=\"confidence-dot\" aria-hidden=\"true\"></span>\n ${confidence}\n </span>\n\n <ul class=\"ingredient-list\" aria-label=\"Key ingredients\">\n ${ingredientsHTML}\n </ul>\n\n <p class=\"clinical-note\">${product.clinical_justification}</p>\n\n <div class=\"product-footer\">\n <span class=\"product-price\">${product.price}</span>\n <button\n class=\"add-to-tray-btn\"\n onclick=\"addToTray('${product.shopify_product_id}')\"\n aria-label=\"${lang.add_btn}: ${product.title}\"\n >\n ${lang.add_btn}\n </button>\n </div>\n </div>\n </article>\n `;\n}\n\n/* ─────────────────────────────────────────────────────────────\n 7. CONCERN SELECTION ORCHESTRATOR\n This is the master coordinator — triggers canvas + products\n───────────────────────────────────────────────────────────── */\n\nlet activeConcern = null;\n\nfunction selectConcern(concern) {\n activeConcern = concern;\n const config = CONCERN_CONFIG[concern];\n\n // 1. Update concern grid UI\n renderConcernGrid();\n\n // 2. Trigger Chrono-Stratigraphy canvas for this concern\n launchStratigraphyCanvas(config.seed, config.paletteColors);\n\n // 3. Render product tray\n renderProducts(concern);\n\n // 4. Animate stratum bar\n const bar = document.getElementById('stratum-bar');\n bar.classList.remove('active');\n requestAnimationFrame(() => {\n requestAnimationFrame(() => bar.classList.add('active'));\n });\n\n // 5. Smooth scroll to tray\n setTimeout(() => {\n document.getElementById('tray-section').scrollIntoView({\n behavior: 'smooth',\n block: 'start'\n });\n }, 300);\n}\n\nfunction addToTray(productId) {\n // In production: dispatch to Shopify cart API or Zustand store\n console.log(`[Asper] Adding product ${productId} to digital tray`);\n\n // Visual feedback\n const btn = document.querySelector(`[data-product-id=\"${productId}\"] .add-to-tray-btn`);\n if (btn) {\n const originalText = btn.textContent;\n btn.textContent = '✓ Added';\n btn.style.background = '#2E7D32';\n setTimeout(() => {\n btn.textContent = originalText;\n btn.style.background = '';\n }, 1500);\n }\n}\n\n/* ─────────────────────────────────────────────────────────────\n 8. CHRONO-STRATIGRAPHY CANVAS ENGINE\n Gemini's algorithm — adapted to Asper's design system\n───────────────────────────────────────────────────────────── */\n\nlet currentSketch = null;\n\nfunction launchStratigraphyCanvas(seed, paletteColors) {\n // Remove previous sketch to prevent memory accumulation\n if (currentSketch) {\n currentSketch.remove();\n currentSketch = null;\n }\n\n const host = document.getElementById('canvas-host');\n host.innerHTML = '';\n host.classList.remove('visible');\n\n // Build the p5 sketch as a closure over seed + palette\n const sketch = (p) => {\n\n let agents = [];\n const MAX_FRAMES = 350;\n const AGENT_COUNT = 3500;\n\n // Asper-specific physics constants (derived from design system)\n // PHI drives warp harmonics — aligns with the math in the philosophy\n const TOPO_SCALE = 0.0028;\n const WARP_STRENGTH = 3.8;\n const VELOCITY = 1.4;\n\n // ── Agent class ─────────────────────────────────────────\n class Agent {\n constructor() {\n this.respawn();\n }\n\n respawn() {\n this.pos = p.createVector(p.random(p.width), p.random(p.height));\n this.prevPos = this.pos.copy();\n this.mass = p.random(0.6, 1.8);\n this.life = p.random(80, MAX_FRAMES);\n\n // Color assignment via noise — geographically coherent\n const colorNoise = p.noise(\n this.pos.x * TOPO_SCALE * 0.4 + 50,\n this.pos.y * TOPO_SCALE * 0.4 + 50\n );\n this.colorIdx = Math.floor(\n p.map(colorNoise, 0, 1, 0, paletteColors.length)\n );\n this.colorIdx = Math.min(this.colorIdx, paletteColors.length - 1);\n }\n\n update() {\n this.prevPos.set(this.pos);\n\n const nx = this.pos.x * TOPO_SCALE;\n const ny = this.pos.y * TOPO_SCALE;\n\n // Layer 1 warp\n const warpX = p.noise(nx + 100.0, ny + 100.0) * WARP_STRENGTH;\n const warpY = p.noise(nx + 200.0, ny + 200.0) * WARP_STRENGTH;\n\n // Layer 2 warp with PHI harmonic interference\n // This is the soul of Chrono-Stratigraphy\n const angleNoise = p.noise(\n nx + warpX * PHI,\n ny + warpY * PHI\n );\n\n const angle = angleNoise * p.TWO_PI * 4;\n\n this.pos.x += Math.cos(angle) * VELOCITY * this.mass;\n this.pos.y += Math.sin(angle) * VELOCITY * this.mass;\n this.life--;\n\n const oob = (\n this.pos.x < 0 || this.pos.x > p.width ||\n this.pos.y < 0 || this.pos.y > p.height ||\n this.life <= 0\n );\n if (oob) this.respawn();\n }\n\n draw() {\n const c = p.color(paletteColors[this.colorIdx]);\n c.setAlpha(10); // Low opacity accumulation\n p.stroke(c);\n p.strokeWeight(1.1 * this.mass);\n p.line(this.prevPos.x, this.prevPos.y, this.pos.x, this.pos.y);\n }\n }\n\n // ── p5 lifecycle ────────────────────────────────────────\n\n p.setup = () => {\n const canvas = p.createCanvas(\n host.offsetWidth || window.innerWidth,\n host.offsetHeight || window.innerHeight\n );\n canvas.parent(host);\n p.pixelDensity(1); // Full pixelDensity on bg would be wasteful\n p.noSmooth();\n\n p.randomSeed(seed);\n p.noiseSeed(seed);\n\n // Darkest palette color as geological base stratum\n p.background(p.color(paletteColors[0]));\n\n // Spawn agents\n agents = Array.from({ length: AGENT_COUNT }, () => new Agent());\n };\n\n p.draw = () => {\n for (const agent of agents) {\n agent.update();\n agent.draw();\n }\n\n if (p.frameCount >= MAX_FRAMES) {\n p.noLoop();\n }\n };\n\n p.windowResized = () => {\n p.resizeCanvas(host.offsetWidth, host.offsetHeight);\n };\n };\n\n // Instantiate the p5 sketch\n currentSketch = new p5(sketch);\n\n // Fade in after brief setup delay\n requestAnimationFrame(() => {\n setTimeout(() => host.classList.add('visible'), 200);\n });\n}\n\n/* ─────────────────────────────────────────────────────────────\n 9. INITIALIZATION\n───────────────────────────────────────────────────────────── */\n\n(function init() {\n // Restore language preference\n const savedLang = localStorage.getItem('asper_language') ?? 'en';\n setLanguage(savedLang);\n\n // Render concern grid (no active concern yet)\n renderConcernGrid();\n})();\n\n</script>\n</body>\n</html>\n```\n\n---\n\n## What Changed from Gemini's Version and Why\n\n### Canvas Role Inversion\nGemini built the canvas as the *subject*. Here the canvas is *infrastructure* — a living background that responds to the user's clinical selection. The sidebar controls are gone. Concern cards replaced them.\n\n### Deterministic Seed-to-Concern Binding\n```javascript\nbrightening: seed 1618 // PHI × 1000\nsun_protection: seed 2618 // PHI × 1618\nanti_aging: seed 2718 // e × 1000\nsensitivity: seed 1414 // √2 × 1000\n```\nEvery concern now has an *invariant geological signature*. A user who returns to \"brightening\" always sees the same terrain — their skin concern has a consistent visual identity across sessions.\n\n### Palette Discipline\nGemini's `palettes[0]` used `#001219` as base — beautiful but wrong for Asper. Every palette here anchors to `#800020` (maroon) and `#C5A028` (gold) somewhere in the gradient, keeping the canvas tonally related to the UI even when it diverges into blues or greens for certain concerns.\n\n### Memory-Safe Sketch Management\n```javascript\nif (currentSketch) {\n currentSketch.remove(); // Destroy WebGL context + all p5 listeners\n currentSketch = null;\n}\n```\nGemini's version had no cleanup path. On a SPA where concerns switch repeatedly, this becomes a memory leak within minutes.\n\n### RTL Integrity\nThe canvas itself has no directionality. But every piece of text, every button, every `padding` and `margin` around it uses logical properties. Switching to Arabic flips the entire shell without touching a single line of canvas code." | ||
| } | ||
| ], | ||
| "stop_reason": "end_turn", | ||
| "stop_sequence": null, | ||
| "usage": { | ||
| "input_tokens": 21296, | ||
| "cache_creation_input_tokens": 0, | ||
| "cache_read_input_tokens": 0, | ||
| "output_tokens": 13387 | ||
| } | ||
| } | ||
| Use env var; never commit api_key="..." | ||
| client = anthropic.Anthropic( | ||
| api_key=os.environ.get("ANTHROPIC_API_KEY"), | ||
| ) | ||
|
|
||
| # a | ||
| Option A: System prompt is a short instruction (plan stored elsewhere or in | ||
| a variable) | ||
| SYSTEM_PROMPT = """You have access to the Asper Beauty Shop Master Implementation Plan. |
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Wrap the JSON example and prose in a docstring or multi-line comment—the file currently fails to parse.
Lines 12–31 contain raw JSON indented as if part of a larger block, but they're outside any string or comment context. Line 12's #{ creates a single-line comment, leaving the { and subsequent lines unparseable. Lines 32–39 contain similar prose fragments. Move all non-executable content into a properly quoted string (e.g., example_response = """...""") or comment it out with # on each line.
🧰 Tools
🪛 Ruff (0.15.9)
[warning] 13-13: Unexpected indentation
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🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@scripts/anthropic-plan-context.example.py` around lines 12 - 40, The file
contains raw JSON/prose left outside a string or comment (starts with the stray
token '#{') which breaks parsing; locate the orphaned JSON/prose block near the
top of the file (the fragment that precedes or sits alongside the SYSTEM_PROMPT
declaration) and wrap that entire example and prose into a proper multiline
string or docstring (e.g., assign to example_response = """...""" or enclose in
triple quotes) or prefix each line with '#' to comment it out; remove the stray
'#{' token so the Python file parses cleanly and ensure SYSTEM_PROMPT remains a
valid string literal.
| ? `https://${storeDomain}/api/2024-01/graphql.json` | ||
| : `https://${storeDomain}/admin/api/2024-01/graphql.json`; |
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🧩 Analysis chain
🌐 Web query:
Shopify GraphQL API version 2024-01 deprecation date
💡 Result:
The Shopify GraphQL API version 2024-01 (released January 1, 2024) is no longer supported as of January 1, 2025. Requests to this version are fallen forward to the oldest supported stable version (e.g., 2025-01 or later, depending on the current date). Shopify API versions are supported for a minimum of 12 months from their release date. As of today's date (2026-04-14), version 2024-01 has been unsupported for over a year.
Citations:
- 1: https://shopify.dev/docs/api/release-notes/previous-versions/2024-01
- 2: https://shopify.dev/docs/api/release-notes/2024-01
- 3: https://community.shopify.com/c/shopify-discussions/partner-graphql-api-version-2024-01-with-404-error/m-p/2897476/highlight/true
- 4: https://shopify.dev/docs/api/usage/versioning/index
- 5: https://shopify.dev/docs/api/usage/versioning
Update Shopify GraphQL API version to a currently supported version.
The code uses Shopify GraphQL API version 2024-01, which was released January 1, 2024 and is no longer supported as of January 1, 2025. Shopify API versions are supported for 12 months minimum from release. As of April 2026, requests to this version are automatically falling forward to the oldest currently supported stable version (e.g., 2025-01 or later), but this fallback behavior is not guaranteed to remain stable. Update to use a currently supported version.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@scripts/catalog-enrichment/shopify-extractor.ts` around lines 113 - 114, The
hardcoded Shopify GraphQL API version string "2024-01" in the URL construction
(the expressions using storeDomain that produce
https://<storeDomain>/api/2024-01/graphql.json and
https://<storeDomain>/admin/api/2024-01/graphql.json) must be updated to a
currently supported API version; replace "2024-01" with a supported version
(e.g., "2025-04") or, better, read the version from a config/ENV variable like
SHOPIFY_API_VERSION and use that constant when building the URLs so future
upgrades only require changing the config rather than code.
| @@ -0,0 +1,632 @@ | |||
| accept /** | |||
There was a problem hiding this comment.
Remove stray text at file start.
Line 1 begins with accept /** which appears to be an editing artifact. This will cause a syntax error.
Proposed fix
-accept /**
+/**📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| accept /** | |
| /** |
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@src/components/ChatBot.tsx` at line 1, Remove the stray text "accept /**" at
the very start of the ChatBot.tsx file (top of the module) which is an editing
artifact causing a syntax error; simply delete that token/comment fragment so
the file begins with the intended import or component declaration (e.g., the
ChatBot component or its first import) and ensure the file compiles.
| @@ -1,4 +1,4 @@ | |||
| import React from "react"; | |||
| start import React from "react"; | |||
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echo "=== ChatProductCard.tsx line 1-5 ==="
head -n 5 src/components/ChatProductCard.tsx
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echo -e "\n=== Searching for 'start import' pattern ==="
rg -nP '^\s*start\s+import\s+' src/ --glob='*.ts' --glob='*.tsx'
# Check if BeautyAssistant imports ChatProductCard
echo -e "\n=== BeautyAssistant imports ==="
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Fix invalid import syntax that breaks compilation.
Line 1 contains start import React from "react";, which is invalid JavaScript/TypeScript syntax and prevents this module from parsing. Because BeautyAssistant statically imports ChatProductCard at line 18, this parse failure blocks the chat feature from loading.
Proposed fix
-start import React from "react";
+import React from "react";📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| start import React from "react"; | |
| import React from "react"; |
🧰 Tools
🪛 Biome (2.4.10)
[error] 1-1: Expected a semicolon or an implicit semicolon after a statement, but found none
(parse)
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@src/components/ChatProductCard.tsx` at line 1, Replace the invalid leading
token in the module import so the file parses: remove the stray word "start" and
ensure the module begins with a valid import like "import React from 'react';"
(or simply a valid import/ESM header if using the new JSX transform) so
ChatProductCard can be statically imported by BeautyAssistant; locate the top of
the ChatProductCard component file and correct the import statement to a proper
ES module import.
| <div className="mb-12 animate-fade-in flex items-center gap-2 bg-white/80 backdrop-blur-md px-4 py-2 rounded-full border border-[#D4AF37]/30 shadow-sm" style={{ animationDelay: "0.1s" }}> | ||
| <ShieldCheck className="w-4 h-4 text-[#D4AF37]" /> | ||
| <span className="text-[10px] uppercase tracking-widest text-asper-charcoal/80 font-semibold"> | ||
| {isAr ? "العلامة التجارية الأولى للجمال الطبي" : "The #1 Pharmacist-Verified Beauty Destination"} |
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Fix Arabic text encoding corruption in HeroSection.tsx.
The Arabic strings are corrupted (mojibake) and display as garbled bytes like "ال..." instead of proper Unicode. This breaks the Arabic UI completely. The component correctly uses useLanguage() and RTL attributes, but the text content itself is saved with incorrect encoding (UTF-8 bytes misinterpreted as Latin-1). Re-save the file with proper UTF-8 encoding and restore valid Arabic text to all affected lines (22, 32, 42–43, 57, 72, 86, 113–114).
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@src/components/HeroSection.tsx` at line 22, The HeroSection component
contains corrupted Arabic string literals (mojibake) in its JSX; open the
HeroSection.tsx file, replace each garbled literal with the correct Arabic text
for the Arabic variants (where useLanguage()/isAr controls the text), and then
re-save the file using UTF-8 encoding (ensure your editor/IDE and git commit use
UTF-8) so the characters are preserved; verify all Arabic JSX text nodes in the
component are updated and render correctly under the isAr branch.
| const systemPrompt = \You are the **Asper Dual-Voice Concierge** for Asper Beauty Shop in Jordan — operating as either **Dr. Sami** (Voice of Science) or **Ms. Zain** (Voice of Luxury) based on the user's intent. Both voices serve the Medical Luxury brand: pharmacist-curated, authentic, precise. | ||
|
|
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| **OMNICHANNEL & SOCIAL MEDIA AWARENESS:** | ||
| - You are active on **Instagram (@asperbeautyshop)** and **WhatsApp**. | ||
| - If the user is chatting on social media (ManyChat/Gorgias), encourage them to visit the full 'Asper Experience' website (asperbeautyshop.com) for a digital skin analysis and the full ritual. | ||
| - If the user is on the website, encourage them to follow for daily pharmacist-led rituals on Instagram. | ||
| - Mention our **'Pharmacist-Verified'** and **'Medical Luxury'** DNA in every consultation. | ||
| - Use emojis sparingly but elegantly (âœ✨, âœ🛡ï¸, âš🩺) to maintain a premium feel. | ||
|
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| const systemPrompt = buildSystemPrompt(productContext, null); | ||
| const useLovable = !!LOVABLE_API_KEY && !geminiKey; | ||
| **DR. SAMI — Voice of Science** (clinical/safety queries: acne, rosacea, eczema, hyperpigmentation, pregnancy, ingredients, SPF, barrier, retinol, dark spots, sensitivity): | ||
| - Tone: authoritative, precise, empathetic. Intro: "As your clinical pharmacist..." | ||
| - Always add: "I provide wellness guidance, not medical diagnosis." | ||
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| **MS. ZAIN — Voice of Luxury** (aesthetic/lifestyle queries: glow, radiance, makeup, gift, bridal, routine, ritual, fragrance, dewy, luminous): | ||
| - Tone: editorial, warm, enthusiastic. Intro: "Welcome to your personal beauty ritual..." | ||
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| **Rules:** Default to Dr. Sami if intent is unclear. Switch voices invisibly mid-conversation. Never announce switching. | ||
| - All products are 100% authentic, JFDA certified, pharmacist-vetted. Use skin_concerns, category from the inventory. | ||
| - Categories: Skincare, Body Care, Hair Care, Makeup, Fragrances, Tools & Devices. Brands: Vichy, Eucerin, La Roche-Posay, Cetaphil, SVR, The Ordinary, Olaplex, Dior, YSL. | ||
| - **Language:** Respond ONLY in English or Arabic based on user language. | ||
| - **Shipping:** Amman 3 JOD; Governorates 5 JOD; FREE over 50 JOD. | ||
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||
| **Inventory (use only these when recommending):** | ||
| \\; |
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Length of output: 2715
Fix the broken prompt literal before merge.
Line 249 has invalid syntax: const systemPrompt = \You are ... missing the opening quote. Should use backticks for a template literal spanning lines 249–272, and close with ${productContext};` to embed the product inventory context.
Suggested fix
- const systemPrompt = \You are the **Asper Dual-Voice Concierge** for Asper Beauty Shop in Jordan â€" operating as either **Dr. Sami** (Voice of Science) or **Ms. Zain** (Voice of Luxury) based on the user's intent. Both voices serve the Medical Luxury brand: pharmacist-curated, authentic, precise.
+ const systemPrompt = `You are the **Asper Dual-Voice Concierge** for Asper Beauty Shop in Jordan — operating as either **Dr. Sami** (Voice of Science) or **Ms. Zain** (Voice of Luxury) based on the user's intent. Both voices serve the Medical Luxury brand: pharmacist-curated, authentic, precise.
...
- **Inventory (use only these when recommending):**
- \\;
+ **Inventory (use only these when recommending):**
+${productContext}`;🧰 Tools
🪛 Biome (2.4.10)
[error] 249-249: unexpected token \
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[error] 249-249: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 249-249: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 249-249: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 249-249: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 249-249: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 249-249: Expected an expression but instead found 'for'.
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[error] 249-249: expected ( but instead found Asper
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[error] 249-249: expected ; but instead found Beauty
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[error] 249-249: expected ; but instead found Shop
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[error] 249-249: expected ) but instead found â
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[error] 249-249: Unexpected token €
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[error] 249-249: Unexpected token ”
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[error] 249-249: unterminated string literal
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[error] 252-252: Decorators are not valid here.
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[error] 252-253: Expected a statement but instead found ')** and WhatsApp.
- If the user is chatting on social media (ManyChat/Gorgias), encourage them to visit the full 'Asper Experience' website (asperbeautyshop.com)'.
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[error] 253-253: expected ( but instead found a
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[error] 253-253: expected ; but instead found digital
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[error] 253-253: expected ; but instead found skin
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[error] 253-253: expected ) but instead found analysis
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[error] 253-253: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 253-253: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 253-253: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 253-253: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 254-254: Expected an identifier but instead found '-'.
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[error] 254-254: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 254-254: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 254-254: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 254-254: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 254-254: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 254-254: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 254-254: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 254-254: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 254-254: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 254-254: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 254-254: expected ( but instead found daily
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[error] 254-254: expected ; but instead found pharmacist
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[error] 254-254: expected ; but instead found rituals
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[error] 254-254: expected ) but instead found on
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[error] 254-254: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 255-255: Expected an identifier but instead found '-'.
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[error] 255-255: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 255-255: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 256-256: Expected an identifier but instead found '-'.
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[error] 256-256: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 256-256: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 256-256: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 256-256: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 256-256: Unexpected token ✨
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[error] 256-256: Unexpected token 🛡
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[error] 256-256: expected , but instead found ï
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[error] 256-256: Unexpected token ¸
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[error] 256-256: Unexpected token 🩺
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[error] 256-256: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 256-256: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 256-256: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 256-256: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 256-256: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 258-258: Expected an identifier but instead found '**'.
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[error] 258-258: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 258-258: Unexpected token €
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[error] 258-258: Unexpected token ”
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[error] 262-262: Unexpected token €
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[error] 262-262: Unexpected token ”
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[error] 265-265: expected ( but instead found intent
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[error] 265-265: expected ) but instead found is
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[error] 265-265: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 265-265: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 265-265: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 265-265: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 265-265: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 265-265: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 266-266: Expected an identifier but instead found '-'.
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[error] 266-266: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 266-266: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 266-266: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 266-266: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 266-266: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 266-266: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 266-266: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 266-266: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 267-267: Expected an identifier but instead found '-'.
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[error] 267-267: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 269-269: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 269-269: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 269-269: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 269-269: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 269-269: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 271-271: Expected an identifier but instead found '**'.
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[error] 271-271: expected , but instead found only
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[error] 271-271: expected , but instead found these
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[error] 271-271: expected , but instead found when
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[error] 271-271: expected , but instead found recommending
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[error] 271-271: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 272-272: unexpected token \
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[error] 272-272: unexpected token \
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🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@supabase/functions/beauty-assistant/index.ts` around lines 249 - 272, The
const systemPrompt assignment is using an invalid string start (backslash +
text) causing a syntax error; change it to a proper template literal. Replace
the broken line "const systemPrompt = \You are..." with a backtick-delimited
template literal that spans the whole prompt block (start with const
systemPrompt = ` and end with `) and ensure you append the product inventory
insertion using the existing productContext variable interpolation (end the
template literal with ${productContext}`;). Locate the const systemPrompt
declaration and confirm productContext is referenced as ${productContext} inside
the closing backtick so the prompt and inventory are concatenated correctly.
Summary by CodeRabbit
New Features
Documentation