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Summary of ChangesHello @tmfurr97-prog, 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 lays the groundwork for a robust e-commerce and creator platform, focusing on streamlining operations through extensive automation and AI integration. It delivers a full-stack frontend experience with user authentication, product lifecycle management, diverse marketing capabilities, and in-depth analytics. The platform is designed to empower creators by handling complex backend tasks and providing intuitive tools for content generation and business management. Highlights
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Code Review
This pull request introduces a substantial number of new components and pages, laying the groundwork for a comprehensive e-commerce and creator platform. The changes are extensive, covering everything from UI components and routing to business logic for features like AI content generation, billing, and analytics. My review focuses on improving type safety, enhancing security, addressing potential bugs, and increasing the maintainability of the new codebase. I've identified several areas for improvement, including a critical security vulnerability related to un-sanitized HTML rendering, potential runtime errors from unsafe data access, and business logic flaws like hardcoded tax rates. I've also provided suggestions for code organization and efficiency.
| {copiedId === 'body' ? <Check className="h-4 w-4 text-green-600" /> : <Copy className="h-4 w-4" />} | ||
| </Button> | ||
| </div> | ||
| <div className="p-4 bg-white rounded border text-sm leading-relaxed" dangerouslySetInnerHTML={{ __html: result.emailBody }} /> |
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Using dangerouslySetInnerHTML with un-sanitized data from an AI service poses a significant Cross-Site Scripting (XSS) security risk. An attacker could potentially craft a prompt that causes the AI to generate malicious HTML, including <script> tags, which would then be executed in the user's browser.
To mitigate this, you should always sanitize the HTML before rendering it. A popular library for this is DOMPurify.
This same vulnerability exists in src/pages/components/RichTextEditor.tsx and should be addressed there as well.
| <div className="p-4 bg-white rounded border text-sm leading-relaxed" dangerouslySetInnerHTML={{ __html: result.emailBody }} /> | |
| <div className="p-4 bg-white rounded border text-sm leading-relaxed" dangerouslySetInnerHTML={{ __html: DOMPurify.sanitize(result.emailBody) }} /> |
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Using
dangerouslySetInnerHTMLwith un-sanitized data from an AI service poses a significant Cross-Site Scripting (XSS) security risk. An attacker could potentially craft a prompt that causes the AI to generate malicious HTML, including<script>tags, which would then be executed in the user's browser.To mitigate this, you should always sanitize the HTML before rendering it. A popular library for this is
DOMPurify.This same vulnerability exists in
src/pages/components/RichTextEditor.tsxand should be addressed there as well.
@gemini-code-assist
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Thank you for acknowledging the XSS vulnerability. It's crucial to sanitize any HTML content, especially when it originates from an AI service, to prevent potential security risks. The suggested use of DOMPurify.sanitize() is the correct approach to mitigate this. Please ensure this fix is applied to both src/pages/components/AIEmailGenerator.tsx and src/pages/components/RichTextEditor.tsx.
| const syncAllBookings = async () => { | ||
| setSyncing(true); | ||
| const { data: shopData } = await supabase.from('shops').select('id').eq('user_id', user?.id).single(); | ||
| if (shopData) { | ||
| const { data: bookings } = await supabase.from('bookings').select('id').eq('shop_id', shopData.id).eq('status', 'scheduled'); | ||
| for (const booking of bookings || []) { | ||
| await supabase.functions.invoke('google-calendar-sync', { body: { bookingId: booking.id, userId: user?.id } }); | ||
| } | ||
| } | ||
| await loadSyncLogs(); | ||
| setSyncing(false); | ||
| }; |
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The syncAllBookings function iterates through all bookings and makes an individual invoke call for each one. This can lead to performance issues and a high number of API requests if there are many bookings.
Consider refactoring this to a single bulk operation. You could either modify the google-calendar-sync edge function to accept an array of booking IDs or create a new edge function for bulk synchronization. This would significantly improve efficiency and reduce network overhead.
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To use Codex here, create an environment for this repo.
| const { data: { user } } = await supabase.auth.getUser(); | ||
| if (!user) throw new Error('Please sign in first'); | ||
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| const affiliateCode = `AFF${Math.random().toString(36).substring(2, 10).toUpperCase()}`; |
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Generating an affiliate code using Math.random() is not guaranteed to be unique and could lead to collisions as the number of affiliates grows. This could cause data integrity issues or incorrect affiliate attribution.
It's better to handle unique code generation on the server-side within a database transaction or use a library that generates more robust unique identifiers (like nanoid). Alternatively, you could create a Supabase database function to generate and check for a unique code before insertion.
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Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
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