Create page.tsx #20
Create page.tsx #20
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✨ Finishing touches
🧪 Generate unit tests (beta)
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Summary of ChangesHello @visz11, 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 introduces a new frontend page dedicated to generating job descriptions. It provides a user-friendly form where various job-related criteria can be entered. Upon submission, the application interacts with a backend API to process these inputs and subsequently displays the generated job description directly on the page, streamlining the job description creation process. Highlights
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Refacto PR SummaryAdded new job description generator page that allows users to create customized job descriptions through a form-based interface. The implementation includes a React form with job title, industry, experience level, and details fields that integrates with the existing chat API to generate professional job descriptions using AI. Key Changes:
Change HighlightsClick to expand
Sequence DiagramsequenceDiagram
participant U as User
participant F as GenerateJD Form
participant API as Chat API
participant AI as AI Service
U->>F: Fill job details form
U->>F: Click "Generate JD"
F->>F: Set loading state
F->>API: POST /api/chat {type: generate_jd}
API->>AI: Process job requirements
AI-->>API: Generated job description
API-->>F: Response with generatedJD
F->>F: Display formatted result
F-->>U: Show generated job description
Testing GuideClick to expand
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Code Review
This pull request adds a new page for generating job descriptions. The implementation has a few critical issues that need to be addressed. Firstly, there's a significant security vulnerability (XSS) due to the use of dangerouslySetInnerHTML with API-generated content. Secondly, the API call made from the new page does not match the existing backend API's expected contract, which will cause it to fail. I've also included feedback on improving error handling to provide better user feedback and making the form validation logic more complete. Please review the detailed comments for suggestions on how to resolve these issues.
| const response = await fetch('/api/chat', { | ||
| method: 'POST', | ||
| headers: { 'Content-Type': 'application/json' }, | ||
| body: JSON.stringify({ | ||
| type: 'generate_jd', | ||
| content: formData | ||
| }) | ||
| }); |
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The fetch call to /api/chat is sending a payload with type and content keys. However, the POST handler in app/(chat)/api/chat/route.ts expects a different payload structure: { id: string; messages: Array<Message>; modelId: string }. This mismatch will cause the API request to fail on the server. The backend needs to be updated to handle this new generate_jd request type, or the frontend needs to call a different endpoint or use the correct payload structure.
| <div className="mt-6 p-4 bg-gray-50 rounded-lg"> | ||
| <h2 className="text-lg font-medium mb-2">Generated Job Description:</h2> | ||
| <div className="prose max-w-none"> | ||
| <div dangerouslySetInnerHTML={{ __html: result }} /> |
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Using dangerouslySetInnerHTML with content received from an API is a major security risk that can lead to Cross-Site Scripting (XSS) attacks. The AI-generated content could contain malicious scripts.
I've suggested replacing it with a <pre> tag as a safe-by-default alternative to display the raw output. For a rich text display, you should process the result string. If it's Markdown (as the prose class suggests), use a library like react-markdown to render it safely. If it must be HTML, sanitize it first with a library like dompurify.
<pre className="whitespace-pre-wrap font-sans">{result}</pre>
| try { | ||
| const response = await fetch('/api/chat', { | ||
| method: 'POST', | ||
| headers: { 'Content-Type': 'application/json' }, | ||
| body: JSON.stringify({ | ||
| type: 'generate_jd', | ||
| content: formData | ||
| }) | ||
| }); | ||
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| const data = await response.json(); | ||
| setResult(data.generatedJD); | ||
| } catch (error) { | ||
| console.error('Error:', error); | ||
| } | ||
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| setLoading(false); |
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The API call and error handling logic can be made more robust:
- HTTP Error Handling:
fetchdoesn't throw on HTTP error responses (like 404 or 500). You should checkresponse.okand throw an error to be caught by thecatchblock. - User-Facing Errors: The
catchblock only logs to the console. For a better user experience, you should set an error state that can be displayed in the UI. - Guaranteed Cleanup:
setLoading(false)should be in afinallyblock to ensure it runs regardless of whether the request succeeds or fails.
try {
const response = await fetch('/api/chat', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
type: 'generate_jd',
content: formData
})
});
if (!response.ok) {
throw new Error(`API request failed with status ${response.status}`);
}
const data = await response.json();
setResult(data.generatedJD);
} catch (error) {
console.error('Error:', error);
// TODO: Set an error state here to display a message to the user.
} finally {
setLoading(false);
}
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| <button | ||
| type="submit" | ||
| disabled={loading || !formData.title || !formData.industry || !formData.details} |
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The disabled logic for the submit button is incomplete. It checks for title, industry, and details, but it's missing a check for experience. Since the "Experience Level" field is also marked as required, it should be included in this check to prevent form submission with incomplete data.
disabled={loading || !formData.title || !formData.industry || !formData.experience || !formData.details}
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@refacto-visz |
![codeant-ai[bot]](https://avatars.githubusercontent.com/in/646884?s=60&v=4){kind=small}
| <div className="prose max-w-none"> | ||
| <div dangerouslySetInnerHTML={{ __html: result }} /> |
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Suggestion: The component renders the API response string directly via dangerouslySetInnerHTML without any sanitization, so if the backend ever includes user-controlled or model-generated HTML (which can contain <script> tags), this will allow arbitrary JavaScript execution in the user's browser (XSS). [security]
Severity Level: Critical 🚨
| <div className="prose max-w-none"> | |
| <div dangerouslySetInnerHTML={{ __html: result }} /> | |
| <div className="prose max-w-none whitespace-pre-wrap"> | |
| {result} |
Why it matters? ⭐
The PR currently injects the API response into the DOM via dangerouslySetInnerHTML with no sanitization. If the backend or the model ever returns HTML containing scripts or attacker-controlled markup, this enables XSS in clients. Replacing the HTML injection with rendering the string as plain text (or sanitizing it) prevents script execution and fixes a real security vulnerability. The suggested change to render {result} as text (and use CSS like whitespace-pre-wrap) is a safe, straightforward mitigation.
Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** app/generate/page.tsx
**Line:** 111:112
**Comment:**
*Security: The component renders the API response string directly via `dangerouslySetInnerHTML` without any sanitization, so if the backend ever includes user-controlled or model-generated HTML (which can contain `<script>` tags), this will allow arbitrary JavaScript execution in the user's browser (XSS).
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Nitpicks 🔍
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Refacto is reviewing this PR. Please wait for the review comments to be posted. |
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CodeAnt AI finished reviewing your PR. |
Code Review: Job Description Generator - Critical Security & Reliability IssuesPR Confidence Score: 🟥 2 / 5👍 Well Done
📁 Selected files for review (1)
📝 Additional Comments
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![refacto-visz[bot]](https://avatars.githubusercontent.com/in/1889637?s=60&v=4){kind=small}
| <div className="mt-6 p-4 bg-gray-50 rounded-lg"> | ||
| <h2 className="text-lg font-medium mb-2">Generated Job Description:</h2> | ||
| <div className="prose max-w-none"> | ||
| <div dangerouslySetInnerHTML={{ __html: result }} /> |
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XSS via dangerouslySetInnerHTML
Server response rendered directly as HTML without sanitization enables stored XSS attacks. Malicious job descriptions from backend could inject JavaScript executing in user browsers, leading to session hijacking and data theft.
<div className="whitespace-pre-wrap">{result}</div>
Commitable Suggestion
| <div dangerouslySetInnerHTML={{ __html: result }} /> | |
| <div className="whitespace-pre-wrap">{result}</div> |
Standards
- CWE-79
- OWASP-A03
- NIST-SSDF-PW.1
| const response = await fetch('/api/chat', { | ||
| method: 'POST', | ||
| headers: { 'Content-Type': 'application/json' }, | ||
| body: JSON.stringify({ | ||
| type: 'generate_jd', | ||
| content: formData | ||
| }) | ||
| }); |
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Missing HTTP Error Check
The fetch API does not reject promises on HTTP error status codes. The application proceeds to parse JSON without validating response.ok, potentially causing runtime errors or silent failures when the backend fails.
const response = await fetch('/api/chat', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
type: 'generate_jd',
content: formData
})
});
if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`);
}
Commitable Suggestion
| const response = await fetch('/api/chat', { | |
| method: 'POST', | |
| headers: { 'Content-Type': 'application/json' }, | |
| body: JSON.stringify({ | |
| type: 'generate_jd', | |
| content: formData | |
| }) | |
| }); | |
| const response = await fetch('/api/chat', { | |
| method: 'POST', | |
| headers: { 'Content-Type': 'application/json' }, | |
| body: JSON.stringify({ | |
| type: 'generate_jd', | |
| content: formData | |
| }) | |
| }); | |
| if (!response.ok) { | |
| throw new Error(`HTTP error! status: ${response.status}`); | |
| } |
Standards
- ISO-IEC-25010-Reliability-Fault-Tolerance
- SRE-Error-Handling
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| <button | ||
| type="submit" | ||
| disabled={loading || !formData.title || !formData.industry || !formData.details} |
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Incomplete Button Validation
The submit button's disabled state logic omits the experience field, which is marked as required in the form schema. This creates a logical inconsistency where the button becomes enabled before all mandatory fields are populated.
Standards
- Business-Rule-Input-Validation
- Logic-Verification-UI-Consistency
| const response = await fetch('/api/chat', { | ||
| method: 'POST', | ||
| headers: { 'Content-Type': 'application/json' }, | ||
| body: JSON.stringify({ | ||
| type: 'generate_jd', | ||
| content: formData | ||
| }) |
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Missing CSRF Protection
Form submission lacks CSRF token protection allowing cross-site request forgery attacks. Attackers could trick authenticated users into generating malicious job descriptions through crafted websites.
Standards
- CWE-352
- OWASP-A01
- NIST-SSDF-PW.1
CodeAnt-AI Description
Add job description generator page with a form and live results
What Changed
Impact
✅ Shorter job posting setup✅ Faster JD drafting✅ Clearer generated job descriptions💡 Usage Guide
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