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feat(interviews): clickable comment collapse, markdown tables, n8n prompt refactor

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This commit is contained in:
Gabriel Ramos 2026-06-10 17:26:39 -04:00
parent 5f87b58baa
commit a264c08922
5 changed files with 378 additions and 15 deletions
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27
app/(dashboard)/interviews/page.tsx
View file

@ -4,6 +4,7 @@ import React, { useState, useEffect } from "react";
import { supabase } from "@/lib/supabase";
import { useApp } from "@/components/AppContext";
import ReactMarkdown from "react-markdown";
import remarkGfm from "remark-gfm";
interface Comment {
id: string;
@ -636,10 +637,11 @@ export default function InterviewsPage() {
return (
<div
key={comment.id}
className={`p-3 rounded-lg border flex flex-col gap-1.5 transition-colors ${
onClick={() => toggleCommentCollapse(comment.id)}
className={`p-3 rounded-lg border flex flex-col gap-1.5 transition-colors cursor-pointer select-none ${
isAiComment
? "bg-blue-50/20 dark:bg-blue-950/10 border-blue-100 dark:border-blue-900/50"
: "bg-slate-50 dark:bg-slate-800/40 border-slate-100 dark:border-slate-800/60"
? "bg-blue-50/20 dark:bg-blue-950/10 border-blue-100 dark:border-blue-900/50 hover:bg-blue-50/30 dark:hover:bg-blue-950/20"
: "bg-slate-50 dark:bg-slate-800/40 border-slate-100 dark:border-slate-800/60 hover:bg-slate-100/40 dark:hover:bg-slate-800/50"
}`}
>
<div className="flex items-center justify-between text-[11px] text-slate-500 dark:text-slate-400">
@ -650,18 +652,23 @@ export default function InterviewsPage() {
<span>
{new Date(comment.timestamp).toLocaleString()}
</span>
<button
onClick={() => toggleCommentCollapse(comment.id)}
className="text-xs text-slate-400 hover:text-slate-600 dark:hover:text-slate-300 font-semibold cursor-pointer select-none"
>
{isCollapsed ? "[+]" : "[-]"}
</button>
<div className="text-slate-400 dark:text-slate-500">
{isCollapsed ? (
<svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" strokeWidth={2.5} stroke="currentColor" className="w-3.5 h-3.5">
<path strokeLinecap="round" strokeLinejoin="round" d="m8.25 4.5 7.5 7.5-7.5 7.5" />
</svg>
) : (
<svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" strokeWidth={2.5} stroke="currentColor" className="w-3.5 h-3.5">
<path strokeLinecap="round" strokeLinejoin="round" d="m19.5 8.25-7.5 7.5-7.5-7.5" />
</svg>
)}
</div>
</div>
</div>
{!isCollapsed && (
<div className="text-xs text-slate-700 dark:text-slate-300 leading-relaxed markdown-content">
<ReactMarkdown>{comment.text}</ReactMarkdown>
<ReactMarkdown remarkPlugins={[remarkGfm]}>{comment.text}</ReactMarkdown>
</div>
)}
</div>

61
app/globals.css
View file

@ -33,3 +33,64 @@
body {
@apply bg-slate-50 text-slate-600 antialiased transition-colors duration-200;
}
/* Markdown styling */
.markdown-content table {
width: 100%;
border-collapse: collapse;
margin-top: 0.5rem;
margin-bottom: 0.5rem;
font-size: 0.75rem;
line-height: 1rem;
}
.markdown-content th,
.markdown-content td {
border: 1px solid #e2e8f0;
padding: 0.375rem 0.5rem;
text-align: left;
}
.dark .markdown-content th,
.dark .markdown-content td {
border-color: #334155;
}
.markdown-content th {
background-color: #f8fafc;
font-weight: 600;
color: #1e293b;
}
.dark .markdown-content th {
background-color: #1e293b;
color: #f1f5f9;
}
.markdown-content tr:nth-child(even) {
background-color: #f8fafc;
}
.dark .markdown-content tr:nth-child(even) {
background-color: rgba(30, 41, 59, 0.3);
}
.markdown-content ul {
list-style-type: disc;
padding-left: 1.25rem;
margin-top: 0.25rem;
margin-bottom: 0.25rem;
}
.markdown-content ol {
list-style-type: decimal;
padding-left: 1.25rem;
margin-top: 0.25rem;
margin-bottom: 0.25rem;
}
.markdown-content li {
margin-top: 0.125rem;
margin-bottom: 0.125rem;
}

296
package-lock.json generated
View file

@ -13,7 +13,8 @@
"pdf-parse": "^2.4.5",
"react": "19.2.4",
"react-dom": "19.2.4",
"react-markdown": "^10.1.0"
"react-markdown": "^10.1.0",
"remark-gfm": "^4.0.1"
},
"devDependencies": {
"@tailwindcss/postcss": "^4",
@ -5523,6 +5524,16 @@
"@jridgewell/sourcemap-codec": "^1.5.5"
}
},
"node_modules/markdown-table": {
"version": "3.0.4",
"resolved": "https://registry.npmjs.org/markdown-table/-/markdown-table-3.0.4.tgz",
"integrity": "sha512-wiYz4+JrLyb/DqW2hkFJxP7Vd7JuTDm77fvbM8VfEQdmSMqcImWeeRbHwZjBjIFki/VaMK2BhFi7oUUZeM5bqw==",
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}
},
"node_modules/math-intrinsics": {
"version": "1.1.0",
"resolved": "https://registry.npmjs.org/math-intrinsics/-/math-intrinsics-1.1.0.tgz",
@ -5533,6 +5544,34 @@
"node": ">= 0.4"
}
},
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"resolved": "https://registry.npmjs.org/mdast-util-from-markdown/-/mdast-util-from-markdown-2.0.3.tgz",
@ -5557,6 +5596,107 @@
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"markdown-table": "^3.0.0",
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"node_modules/mdast-util-gfm-task-list-item": {
"version": "2.0.0",
"resolved": "https://registry.npmjs.org/mdast-util-gfm-task-list-item/-/mdast-util-gfm-task-list-item-2.0.0.tgz",
"integrity": "sha512-IrtvNvjxC1o06taBAVJznEnkiHxLFTzgonUdy8hzFVeDun0uTjxxrRGVaNFqkU1wJR3RBPEfsxmU6jDWPofrTQ==",
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"dependencies": {
"@types/mdast": "^4.0.0",
"devlop": "^1.0.0",
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"node_modules/mdast-util-mdx-expression": {
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"resolved": "https://registry.npmjs.org/mdast-util-mdx-expression/-/mdast-util-mdx-expression-2.0.1.tgz",
@ -5765,6 +5905,127 @@
"micromark-util-types": "^2.0.0"
}
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"micromark-extension-gfm-table": "^2.0.0",
"micromark-extension-gfm-tagfilter": "^2.0.0",
"micromark-extension-gfm-task-list-item": "^2.0.0",
"micromark-util-combine-extensions": "^2.0.0",
"micromark-util-types": "^2.0.0"
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"url": "https://opencollective.com/unified"
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@ -6840,6 +7101,24 @@
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@ -6873,6 +7152,21 @@
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3
package.json
View file

@ -14,7 +14,8 @@
"pdf-parse": "^2.4.5",
"react": "19.2.4",
"react-dom": "19.2.4",
"react-markdown": "^10.1.0"
"react-markdown": "^10.1.0",
"remark-gfm": "^4.0.1"
},
"devDependencies": {
"@tailwindcss/postcss": "^4",

6
scripts/deploy-n8n-v2.ts
View file

@ -53,8 +53,8 @@ async function getOrCreateCredential(name: string, type: string, data: any) {
const credsList = await n8nRequest("/api/v1/credentials");
const existingCred = credsList.data.find((c: any) => c.name === name && c.type === type);
if (existingCred) {
console.log(`Deleting existing credential: ${name} (ID: ${existingCred.id})...`);
await n8nRequest(`/api/v1/credentials/${existingCred.id}`, "DELETE");
console.log(`Reusing existing credential: ${name} (ID: ${existingCred.id})...`);
return existingCred.id;
}
const newCred = await n8nRequest("/api/v1/credentials", "POST", {
@ -300,7 +300,7 @@ async function main() {
enableFallbackModel: configureFallback,
hasFallbackModel: configureFallback,
text: "=Candidate CV Text:\n{{ $('Webhook Trigger').item.json.body.text }}\n\nTarget Job Vacancy:\nTitle: {{ $('Webhook Trigger').item.json.body.jobTitle }}\nRequirements:\n{{ $('Webhook Trigger').item.json.body.jobRequirements }}",
systemMessage: "You are an AI recruitment evaluation expert. Your job is to carefully assess if the candidate qualifies for the specific job vacancy. Evaluate their CV text against the target Job Title and Job Requirements. Be objective: if the candidate does not have the core stack, experience, or skills required for this specific job, they MUST be classified as 'Unqualified' with a low suitability score.\n\nSuitability Score (ai_score) Calibration Rules:\n- If the candidate does not match the vacancy at all, or lacks all core technical skills required for the job, the score MUST be extremely low (between 0 and 15). Never give a middle score like 50 to a complete mismatch.\n- If the candidate has minor overlaps but lacks the core tech stack/experience, the score MUST be below 50.\n- If the candidate is a borderline or partial fit (50-74% match), the score must be between 50 and 74.\n- Only candidates who are highly qualified and match the core stack and experience should receive a score of 75 or higher.\n\nYou MUST respond with a raw JSON object containing exactly these five keys:\n- summary: a brief evaluation summary explaining why they match or fail to match the specific job requirements (max 3 sentences).\n- classification: 'Qualified' (if they match the requirements well), 'Unqualified' (if they lack critical skills/stack for this specific job), or 'Review' (if they are a borderline match).\n- suggestions: an array of recommendations (e.g. ['Schedule technical interview', 'Reject', 'Verify experience with X']).\n- riskLevel: 'Low', 'Medium', or 'High' (suitability/fit risk).\n- ai_score: an integer between 0 and 100 representing suitability for this specific job. Return a whole integer (do NOT return a decimal fraction like 0.88, return an integer like 88).",
systemMessage: "You are an AI recruitment assistant. Your job is to carefully assess if the candidate qualifies for the specific job vacancy. Evaluate their CV text against the target Job Title and Job Requirements. Be objective: if the candidate does not have the core stack, experience, or skills required for this specific job, they MUST be classified as 'Unqualified' with a low suitability score.\n\nSuitability Score (ai_score) Calibration Rules:\n- If the candidate does not match the vacancy at all, or lacks all core technical skills required for the job, the score MUST be extremely low (between 0 and 15). Never give a middle score like 50 to a complete mismatch.\n- If the candidate has minor overlaps but lacks the core tech stack/experience, the score MUST be below 50.\n- If the candidate is a borderline or partial fit (50-74% match), the score must be between 50 and 74.\n- Only candidates who are highly qualified and match the core stack and experience should receive a score of 75 or higher.\n\nYou MUST respond with a raw JSON object containing exactly these five keys:\n- summary: a brief evaluation summary explaining why they match or fail to match the specific job requirements (max 3 sentences).\n- classification: 'Qualified' (if they match the requirements well), 'Unqualified' (if they lack critical skills/stack for this specific job), or 'Review' (if they are a borderline match).\n- suggestions: an array of recommendations (e.g. ['Schedule technical interview', 'Reject', 'Verify experience with X']).\n- riskLevel: 'Low', 'Medium', or 'High' (suitability/fit risk).\n- ai_score: an integer between 0 and 100 representing suitability for this specific job. Return a whole integer (do NOT return a decimal fraction like 0.88, return an integer like 88).",
},
id: "eval-llm-chain",
name: "LLM Chain Evaluation (Primary)",