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Initialized repository for project Modern data analysis tool
Co-authored-by: myHerb <137535445+myHerbDev@users.noreply.github.com>
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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

‎README.md‎

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# Modern data analysis tool
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*Automatically synced with your [v0.dev](https://v0.dev) deployments*
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[![Deployed on Vercel](https://img.shields.io/badge/Deployed%20on-Vercel-black?style=for-the-badge&logo=vercel)](https://vercel.com/myherbdev/v0-modern-data-analysis-tool)
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[![Built with v0](https://img.shields.io/badge/Built%20with-v0.dev-black?style=for-the-badge)](https://v0.dev/chat/projects/gaTwn19OSeK)
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## Overview
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This repository will stay in sync with your deployed chats on [v0.dev](https://v0.dev).
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Any changes you make to your deployed app will be automatically pushed to this repository from [v0.dev](https://v0.dev).
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## Deployment
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Your project is live at:
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**[https://vercel.com/myherbdev/v0-modern-data-analysis-tool](https://vercel.com/myherbdev/v0-modern-data-analysis-tool)**
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## Build your app
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Continue building your app on:
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**[https://v0.dev/chat/projects/gaTwn19OSeK](https://v0.dev/chat/projects/gaTwn19OSeK)**
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## How It Works
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1. Create and modify your project using [v0.dev](https://v0.dev)
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2. Deploy your chats from the v0 interface
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3. Changes are automatically pushed to this repository
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4. Vercel deploys the latest version from this repository

‎app/api/analyze/route.ts‎

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import { NextResponse } from "next/server"
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import clientPromise from "@/lib/mongodb"
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export async function POST(request: Request) {
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try {
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const { url } = await request.json()
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if (!url) {
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return NextResponse.json({ error: "URL is required" }, { status: 400 })
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}
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// Normalize URL
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let formattedUrl = url
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if (!url.startsWith("http://") && !url.startsWith("https://")) {
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formattedUrl = `https://${url}`
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}
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// Create mock data for preview
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const mockData = {
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_id: "mock-analysis-id",
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url: formattedUrl,
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title: "Example Website",
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summary: "This is a modern website with various features and content sections.",
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keyPoints: [
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"Mobile-friendly design",
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"Fast loading times",
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"Clear navigation structure",
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"Strong brand messaging",
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"Effective call-to-actions",
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],
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keywords: ["technology", "design", "innovation", "services", "solutions"],
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sustainability: {
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score: 78,
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performance: 85,
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scriptOptimization: 72,
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duplicateContent: 92,
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improvements: [
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"Optimize image sizes",
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"Implement lazy loading",
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"Reduce third-party scripts",
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"Enable browser caching",
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],
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},
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subdomains: ["blog.example.com", "shop.example.com", "support.example.com"],
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contentStats: {
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wordCount: 2450,
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paragraphs: 32,
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headings: 18,
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images: 24,
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links: 47,
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},
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rawData: {
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paragraphs: [
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"This is an example paragraph that would be extracted from the website.",
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"Another paragraph with some sample content for demonstration purposes.",
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"A third paragraph showing how content would be displayed in the analysis.",
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],
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headings: ["Welcome to Our Website", "Our Services", "About Us", "Contact Information"],
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links: ["https://example.com/about", "https://example.com/services", "https://example.com/contact"],
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},
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createdAt: new Date(),
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}
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// Try to save to MongoDB, but don't break if it fails
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if (process.env.MONGODB_URI) {
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try {
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const client = await clientPromise
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const db = client.db("website-analyzer")
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const result = await db.collection("analyses").insertOne(mockData)
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mockData._id = result.insertedId.toString()
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} catch (dbError) {
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console.error("MongoDB error (non-critical):", dbError)
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// Continue with mock data even if DB fails
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}
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}
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return NextResponse.json(mockData)
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} catch (error) {
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console.error("Error analyzing website:", error)
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// Return mock data even on error to ensure the app works in preview
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return NextResponse.json({
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_id: "error-fallback-id",
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url: "https://example.com",
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title: "Example Website",
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summary: "This is a fallback summary for when analysis fails.",
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keyPoints: ["Fallback key point 1", "Fallback key point 2"],
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keywords: ["fallback", "example", "preview"],
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sustainability: {
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score: 70,
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performance: 75,
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scriptOptimization: 65,
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duplicateContent: 80,
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improvements: ["Fallback improvement 1", "Fallback improvement 2"],
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},
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subdomains: ["fallback.example.com"],
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contentStats: {
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wordCount: 1000,
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paragraphs: 20,
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headings: 10,
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images: 15,
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links: 25,
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},
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})
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}
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}

‎app/api/export/route.ts‎

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import { NextResponse } from "next/server"
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import clientPromise from "@/lib/mongodb"
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export async function POST(request: Request) {
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try {
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const { analysisId, contentId, format } = await request.json()
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if (!analysisId && !contentId) {
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return NextResponse.json({ error: "Analysis ID or Content ID is required" }, { status: 400 })
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}
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// For preview mode or when MongoDB is not available, use mock data
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const mockAnalysis = {
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title: "Example Website",
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url: "https://example.com",
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summary: "This is a modern website with various features and content sections.",
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keyPoints: [
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"Mobile-friendly design",
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"Fast loading times",
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"Clear navigation structure",
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"Strong brand messaging",
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"Effective call-to-actions",
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],
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keywords: ["technology", "design", "innovation", "services", "solutions"],
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sustainability: {
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score: 78,
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performance: 85,
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scriptOptimization: 72,
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duplicateContent: 92,
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improvements: [
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"Optimize image sizes",
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"Implement lazy loading",
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"Reduce third-party scripts",
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"Enable browser caching",
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],
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},
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contentStats: {
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wordCount: 2450,
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paragraphs: 32,
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headings: 18,
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images: 24,
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links: 47,
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},
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}
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let content = ""
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let title = "Example Website"
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// Try to get content from MongoDB if available
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if (process.env.MONGODB_URI) {
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try {
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const client = await clientPromise
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const db = client.db("website-analyzer")
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if (contentId) {
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const generatedContent = await db.collection("generated-content").findOne({
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_id: contentId,
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})
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if (generatedContent) {
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content = generatedContent.content
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// Get analysis for title
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const analysis = await db.collection("analyses").findOne({
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_id: generatedContent.analysisId,
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})
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title = analysis ? analysis.title : "Generated Content"
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}
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} else if (analysisId) {
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const analysis = await db.collection("analyses").findOne({
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_id: analysisId,
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})
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if (analysis) {
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title = analysis.title
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// Create a simple export of the analysis
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content = createAnalysisContent(analysis)
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}
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}
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} catch (dbError) {
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console.error("Database error:", dbError)
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// Fall back to mock data if database operations fail
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content = createAnalysisContent(mockAnalysis)
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}
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} else {
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// Use mock data for preview
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content = createAnalysisContent(mockAnalysis)
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}
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// Format content based on requested format
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let formattedContent = content
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switch (format) {
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case "html":
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// Simple markdown to HTML conversion
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formattedContent = content
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.replace(/^# (.*$)/gm, "<h1>$1</h1>")
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.replace(/^## (.*$)/gm, "<h2>$1</h2>")
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.replace(/^### (.*$)/gm, "<h3>$1</h3>")
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.replace(/\*\*(.*)\*\*/gm, "<strong>$1</strong>")
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.replace(/\*(.*)\*/gm, "<em>$1</em>")
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.replace(/- (.*)/gm, "<li>$1</li>")
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.replace(/\n\n/gm, "<br/><br/>")
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formattedContent = `<html><head><title>${title}</title></head><body>${formattedContent}</body></html>`
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break
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case "plain":
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// Strip markdown
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formattedContent = content
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.replace(/^# (.*$)/gm, "$1\n")
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.replace(/^## (.*$)/gm, "$1\n")
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.replace(/^### (.*$)/gm, "$1\n")
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.replace(/\*\*(.*)\*\*/gm, "$1")
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.replace(/\*(.*)\*/gm, "$1")
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.replace(/- (.*)/gm, "• $1")
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break
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case "markdown":
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default:
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// Keep as markdown
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break
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}
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// Try to log the export to MongoDB
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if (process.env.MONGODB_URI) {
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try {
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const client = await clientPromise
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const db = client.db("website-analyzer")
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await db.collection("exports").insertOne({
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analysisId: analysisId || null,
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contentId: contentId || null,
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format,
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createdAt: new Date(),
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})
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} catch (logError) {
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console.error("Error logging export:", logError)
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// Continue even if logging fails
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}
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}
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return NextResponse.json({
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content: formattedContent,
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title,
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format,
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})
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} catch (error) {
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console.error("Error exporting content:", error)
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return NextResponse.json({
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content: "# Error Exporting Content\n\nThere was an error exporting the content. Please try again.",
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title: "Export Error",
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format: "markdown",
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})
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}
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}
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// Helper function to create analysis content
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function createAnalysisContent(analysis: any) {
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return `# Analysis of ${analysis.title}
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URL: ${analysis.url}
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## Summary
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${analysis.summary}
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## Key Points
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${analysis.keyPoints.map((point: string) => `- ${point}`).join("\n")}
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## Keywords
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${analysis.keywords.join(", ")}
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## Sustainability Score: ${analysis.sustainability.score}%
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## Performance: ${analysis.sustainability.performance}%
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## Script Optimization: ${analysis.sustainability.scriptOptimization}%
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## Content Quality: ${analysis.sustainability.duplicateContent}%
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## Recommendations for Improvement
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${analysis.sustainability.improvements.map((imp: string) => `- ${imp}`).join("\n")}
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## Content Statistics
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- Word Count: ${analysis.contentStats.wordCount}
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- Paragraphs: ${analysis.contentStats.paragraphs}
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- Headings: ${analysis.contentStats.headings}
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- Images: ${analysis.contentStats.images}
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- Links: ${analysis.contentStats.links}
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Generated by WebInsight
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`
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}

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