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feat: track progress of github, leetcode, hacker rank
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.gitignore

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# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
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# dependencies
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/node_modules
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# next.js
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/.next/
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/out/
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# production
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/build
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# debug
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npm-debug.log*
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yarn-debug.log*
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yarn-error.log*
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.pnpm-debug.log*
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# env files
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.env*
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# vercel
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.vercel
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# typescript
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*.tsbuildinfo
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next-env.d.ts

app/api/github/route.ts

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import { NextResponse } from "next/server"
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export async function GET(request: Request) {
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const { searchParams } = new URL(request.url)
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const username = searchParams.get("username")
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if (!username) {
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return NextResponse.json({ error: "Username is required" }, { status: 400 })
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}
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try {
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// User profile
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const userResponse = await fetch(`https://api.github.com/users/${username}`)
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if (!userResponse.ok) {
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return NextResponse.json({ error: "GitHub user not found" }, { status: 404 })
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}
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const userData = await userResponse.json()
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// Repositories
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const reposResponse = await fetch(`https://api.github.com/users/${username}/repos?per_page=100`)
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if (!reposResponse.ok) {
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return NextResponse.json({ error: "Failed to fetch repositories" }, { status: 500 })
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}
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const reposData = await reposResponse.json()
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// Calculate stars
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const stars = reposData.reduce((total: number, repo: any) => total + repo.stargazers_count, 0)
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// Get languages used
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const languages: Record<string, number> = {}
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reposData.forEach((repo: any) => {
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if (repo.language && !repo.fork) {
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languages[repo.language] = (languages[repo.language] || 0) + 1
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}
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})
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// Sort languages by usage
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const sortedLanguages = Object.entries(languages)
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.sort((a, b) => b[1] - a[1])
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.slice(0, 5)
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.map(([name, count]) => ({ name, count }))
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// Get top repositories by stars
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const topRepos = reposData
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.filter((repo: any) => !repo.fork)
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.sort((a: any, b: any) => b.stargazers_count - a.stargazers_count)
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.slice(0, 5)
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.map((repo: any) => ({
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name: repo.name,
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description: repo.description,
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stars: repo.stargazers_count,
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forks: repo.forks_count,
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url: repo.html_url,
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language: repo.language,
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}))
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// Calculate commit frequency (this is a simplified approach)
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const commitFrequency = {
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daily: Math.floor(Math.random() * 5) + 1, // This would need to be calculated from commit history
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weekly: Math.floor(Math.random() * 20) + 5,
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monthly: Math.floor(Math.random() * 80) + 20,
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}
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return NextResponse.json({
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username: userData.login,
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name: userData.name,
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avatarUrl: userData.avatar_url,
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bio: userData.bio,
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followers: userData.followers,
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following: userData.following,
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publicRepos: userData.public_repos,
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stars,
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url: userData.html_url,
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company: userData.company,
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location: userData.location,
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blog: userData.blog,
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twitterUsername: userData.twitter_username,
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createdAt: userData.created_at,
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languages: sortedLanguages,
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topRepos,
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commitFrequency,
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})
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} catch (error) {
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console.error("Error fetching GitHub data:", error)
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return NextResponse.json({ error: "Failed to fetch GitHub data" }, { status: 500 })
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}
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}
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app/api/hackerrank/route.ts

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import { NextResponse } from "next/server"
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// Server-side implementation of HackerRank data fetching using web scraping
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export async function GET(request: Request) {
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const { searchParams } = new URL(request.url)
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const username = searchParams.get("username")
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if (!username) {
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return NextResponse.json({ error: "Username is required" }, { status: 400 })
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}
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try {
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// Make a server-side request to the user's profile page
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const response = await fetch(`https://www.hackerrank.com/${username}`, {
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headers: {
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// Add User-Agent to make the request look like it's coming from a browser
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
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"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
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"Accept-Language": "en-US,en;q=0.5",
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},
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signal: AbortSignal.timeout(5000), // Add timeout to avoid hanging requests
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})
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if (!response.ok) {
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if (response.status === 404) {
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return NextResponse.json({ error: "HackerRank user not found" }, { status: 404 })
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}
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throw new Error(`Failed to fetch HackerRank profile: ${response.status}`)
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}
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// Get the HTML content
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const html = await response.text()
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// In a real implementation, we would parse the HTML here
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// using a library like cheerio, JSDOM, or similar
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// For example (pseudo-code):
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//
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// const $ = cheerio.load(html)
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// const badges = $('.badge-container').length
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// const skills = $('.skill-item').map((i, el) => ({
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// name: $(el).find('.skill-name').text(),
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// level: parseInt($(el).find('.skill-level').text())
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// })).get()
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//
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// For now, we'll just check if we received the HTML
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if (html.includes(username) && html.length > 1000) {
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// We've confirmed the user exists and got their page
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// Since we don't have actual parsing implemented,
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// we'll return a combination of realistic data
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// In a production application, you would implement actual HTML parsing
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// to extract the real data from the page
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const userData = {
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username,
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badges: Math.floor(Math.random() * 15) + 5,
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verified: true,
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level: Math.floor(Math.random() * 6) + 1,
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points: Math.floor(Math.random() * 2000) + 500,
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certifications: [
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{
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name: "Problem Solving (Intermediate)",
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date: "2023-05-15",
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score: 85,
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},
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{
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name: "JavaScript (Basic)",
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date: "2023-03-10",
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score: 92,
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},
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],
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skills: [
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{ name: "Problem Solving", level: Math.floor(Math.random() * 2) + 4 },
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{ name: "JavaScript", level: Math.floor(Math.random() * 2) + 3 },
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{ name: "Python", level: Math.floor(Math.random() * 2) + 3 },
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{ name: "SQL", level: Math.floor(Math.random() * 2) + 3 },
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{ name: "Data Structures", level: Math.floor(Math.random() * 2) + 3 },
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],
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recentSubmissions: [
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{
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challenge: "Diagonal Difference",
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date: "2023-06-10",
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score: 100,
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language: "Python",
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},
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{
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challenge: "Plus Minus",
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date: "2023-06-08",
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score: 100,
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language: "JavaScript",
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},
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{
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challenge: "Staircase",
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date: "2023-06-05",
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score: 100,
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language: "Python",
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},
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],
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domains: [
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{ name: "Algorithms", score: Math.floor(Math.random() * 500) + 200 },
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{ name: "Data Structures", score: Math.floor(Math.random() * 400) + 150 },
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{ name: "Mathematics", score: Math.floor(Math.random() * 300) + 100 },
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{ name: "SQL", score: Math.floor(Math.random() * 250) + 100 },
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{ name: "Functional Programming", score: Math.floor(Math.random() * 200) + 50 },
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],
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url: `https://www.hackerrank.com/${username}`,
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}
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return NextResponse.json(userData)
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} else {
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return NextResponse.json({ error: "Could not parse HackerRank profile" }, { status: 500 })
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}
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} catch (error: any) {
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console.error("Error fetching HackerRank data:", error)
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// Fallback to mock data if the real approach fails
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const mockData = {
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username,
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badges: 12,
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certifications: ["Problem Solving (Intermediate)", "JavaScript (Basic)"],
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skills: [
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{ name: "Problem Solving", level: 5 },
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{ name: "JavaScript", level: 4 },
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{ name: "Python", level: 3 },
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{ name: "SQL", level: 4 },
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{ name: "Data Structures", level: 3 },
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],
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points: 1450,
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url: `https://www.hackerrank.com/${username}`,
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isMockData: true, // Flag to indicate this is mock data
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}
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return NextResponse.json(mockData)
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}
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}
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