Bundle analysis and monitoring
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import { NextResponse } from "next/server";
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import fs from "fs";
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import path from "path";
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const WEB_VITALS_DIR = path.join(process.cwd(), ".next", "web-vitals");
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// Ensure web-vitals directory exists
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if (!fs.existsSync(WEB_VITALS_DIR)) {
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fs.mkdirSync(WEB_VITALS_DIR, { recursive: true });
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}
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export async function POST(request) {
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try {
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const { metric, data, url, userAgent, timestamp } = await request.json();
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// Store the metric data
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const vitalsData = {
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metric,
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data,
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url,
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userAgent,
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timestamp: new Date(timestamp).toISOString(),
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receivedAt: new Date().toISOString(),
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};
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// Save to file (in production, you would save to a database)
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const filePath = path.join(WEB_VITALS_DIR, `${metric}.json`);
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let existingData = [];
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if (fs.existsSync(filePath)) {
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try {
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existingData = JSON.parse(fs.readFileSync(filePath, "utf8"));
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} catch (error) {
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console.warn("Could not parse existing vitals data:", error.message);
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}
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}
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existingData.push(vitalsData);
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// Keep only last 100 entries per metric
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if (existingData.length > 100) {
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existingData = existingData.slice(-100);
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}
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fs.writeFileSync(filePath, JSON.stringify(existingData, null, 2));
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// Log for monitoring
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console.log(
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`Web Vital received: ${metric} = ${data.value}ms (${data.rating})`
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);
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return NextResponse.json({ success: true });
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} catch (error) {
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console.error("Error processing web vital:", error);
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return NextResponse.json(
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{ error: "Internal server error" },
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{ status: 500 }
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);
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}
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}
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export async function GET() {
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try {
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const metrics = {};
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if (fs.existsSync(WEB_VITALS_DIR)) {
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const files = fs.readdirSync(WEB_VITALS_DIR);
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files.forEach((file) => {
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if (file.endsWith(".json")) {
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const metric = file.replace(".json", "");
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const data = JSON.parse(
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fs.readFileSync(path.join(WEB_VITALS_DIR, file), "utf8")
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);
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if (data.length > 0) {
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const values = data
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.map((d) => d.data.value)
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.filter((v) => v !== undefined);
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const ratings = data
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.map((d) => d.data.rating)
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.filter((r) => r !== undefined);
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metrics[metric] = {
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count: data.length,
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average:
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values.length > 0
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? Math.round(
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values.reduce((a, b) => a + b, 0) / values.length
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)
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: 0,
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min: values.length > 0 ? Math.min(...values) : 0,
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max: values.length > 0 ? Math.max(...values) : 0,
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goodCount: ratings.filter((r) => r === "good").length,
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needsImprovementCount: ratings.filter(
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(r) => r === "needs-improvement"
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).length,
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poorCount: ratings.filter((r) => r === "poor").length,
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lastUpdated: data[data.length - 1]?.receivedAt,
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};
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}
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}
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});
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}
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return NextResponse.json({ metrics });
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} catch (error) {
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console.error("Error fetching web vitals:", error);
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return NextResponse.json(
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{ error: "Internal server error" },
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{ status: 500 }
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);
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}
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}
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