164 lines
5.2 KiB
JavaScript
164 lines
5.2 KiB
JavaScript
import * as fs from 'fs';
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// dummyData.ts를 읽어와서 dummyPCs 파싱
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const content = fs.readFileSync('c:/Project/HM ITAM/src/core/dummyData.ts', 'utf-8');
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// export const dummyPCs: any[] = [ ... ]; 패턴 추출
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const match = content.match(/export const dummyPCs: any\[\] = (\[[\s\S]*?\]);/);
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if (!match) {
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console.error('Failed to parse dummyPCs from dummyData.ts');
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process.exit(1);
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}
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const dummyPCs = JSON.parse(match[1]);
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function calculatePcScoreDeductive(cpu, ram, gpu, purchaseDate) {
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let score = 100;
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// 1. CPU 등급 감점
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const cpuUpper = (cpu || '').toUpperCase();
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let cpuDeduction = 0;
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if (cpuUpper.includes('I9') || cpuUpper.includes('RYZEN 9') || cpuUpper.includes('RYZEN9')) {
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cpuDeduction = 0;
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} else if (cpuUpper.includes('I7') || cpuUpper.includes('RYZEN 7') || cpuUpper.includes('RYZEN7')) {
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cpuDeduction = 5;
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} else if (cpuUpper.includes('I5') || cpuUpper.includes('RYZEN 5') || cpuUpper.includes('RYZEN5')) {
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cpuDeduction = 15;
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} else if (cpuUpper.includes('I3') || cpuUpper.includes('RYZEN 3') || cpuUpper.includes('RYZEN3')) {
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cpuDeduction = 25;
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} else {
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cpuDeduction = 30;
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}
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score -= cpuDeduction;
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// 2. CPU 세대 감점
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let genDeduction = 0;
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let intelMatch = cpuUpper.match(/I\d-?(\d+)/);
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let gen = 0;
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if (intelMatch && intelMatch[1]) {
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const numStr = intelMatch[1];
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if (numStr.length === 5) gen = parseInt(numStr.substring(0, 2), 10);
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else if (numStr.length === 4) gen = parseInt(numStr.substring(0, 1), 10);
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}
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let amdMatch = cpuUpper.match(/RYZEN\s?\d\s?-?(\d+)/);
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let amdGen = 0;
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if (amdMatch && amdMatch[1] && !intelMatch) {
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const numStr = amdMatch[1];
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if (numStr.length === 4) amdGen = parseInt(numStr.substring(0, 1), 10);
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}
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if (intelMatch) {
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if (gen >= 12) genDeduction = 0;
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else if (gen >= 10) genDeduction = 5;
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else if (gen >= 8) genDeduction = 10;
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else genDeduction = 15;
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} else if (amdMatch) {
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if (amdGen >= 5) genDeduction = 0;
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else if (amdGen >= 3) genDeduction = 5;
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else genDeduction = 10;
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} else {
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genDeduction = 15;
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}
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score -= genDeduction;
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// 3. RAM 용량 감점
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const ramUpper = (ram || '').toUpperCase();
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const ramMatch = ramUpper.match(/(\d+)\s*GB/);
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let ramDeduction = 25;
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if (ramMatch && ramMatch[1]) {
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const ramVal = parseInt(ramMatch[1], 10);
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if (ramVal >= 32) ramDeduction = 0;
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else if (ramVal >= 16) ramDeduction = 10;
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else if (ramVal >= 8) ramDeduction = 20;
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else ramDeduction = 25;
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}
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score -= ramDeduction;
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// 4. GPU 성능 감점
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const gpuUpper = (gpu || '').toUpperCase();
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let gpuDeduction = 25;
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if (!gpuUpper || gpuUpper === '-' || gpuUpper.trim() === '') {
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gpuDeduction = 25;
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} else if (
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gpuUpper.includes('RTX 4090') || gpuUpper.includes('RTX 4080') || gpuUpper.includes('RTX 4070') ||
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gpuUpper.includes('RTX A5000') || gpuUpper.includes('RTX A6000') || gpuUpper.includes('RTX A4000')
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) {
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gpuDeduction = 0;
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} else if (
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gpuUpper.includes('RTX 3070') || gpuUpper.includes('RTX 3060') || gpuUpper.includes('RTX 2060') ||
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gpuUpper.includes('RTX A2000') || gpuUpper.includes('RTX A3000') || gpuUpper.includes('QUADRO')
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) {
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gpuDeduction = 5;
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} else if (
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gpuUpper.includes('GTX 1660') || gpuUpper.includes('GTX 1080') || gpuUpper.includes('GTX 1070') ||
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gpuUpper.includes('GTX 1060') || gpuUpper.includes('RX 6700') || gpuUpper.includes('RX 6600')
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) {
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gpuDeduction = 15;
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} else {
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gpuDeduction = 25;
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}
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score -= gpuDeduction;
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// 5. 연식(노후도) 감점
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let age = 0;
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if (purchaseDate && purchaseDate !== '-') {
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let normalized = purchaseDate.replace(/\./g, '-').trim();
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if (/^\d{6}$/.test(normalized)) {
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normalized = `${normalized.substring(0, 4)}-${normalized.substring(4, 6)}`;
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}
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const purchase = new Date(normalized);
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if (!isNaN(purchase.getTime())) {
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const mockToday = new Date('2026-05-31');
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const diffMs = mockToday.getTime() - purchase.getTime();
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age = diffMs / (1000 * 60 * 60 * 24 * 365.25);
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age = Math.max(0, parseFloat(age.toFixed(1)));
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}
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}
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let ageDeduction = 0;
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if (age < 1) ageDeduction = 0;
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else if (age < 2) ageDeduction = 3;
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else if (age < 3) ageDeduction = 6;
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else if (age < 4) ageDeduction = 9;
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else if (age < 5) ageDeduction = 12;
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else ageDeduction = 15;
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score -= ageDeduction;
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return Math.max(10, score);
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}
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const jobScores = {};
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let totalPcs = 0;
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const filteredPCs = dummyPCs.filter(pc => pc.user_position !== '재고PC');
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filteredPCs.forEach(pc => {
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const job = pc.user_position || '미분류';
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const score = calculatePcScoreDeductive(pc.cpu, pc.ram, pc.gpu, pc.purchase_date);
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if (!jobScores[job]) {
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jobScores[job] = { total: 0, count: 0 };
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}
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jobScores[job].total += score;
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jobScores[job].count += 1;
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totalPcs++;
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});
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console.log('--- Job Averages (Deductive 100-point) ---');
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const sortedJobs = Object.keys(jobScores).map(job => {
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const avg = jobScores[job].total / jobScores[job].count;
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return {
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job,
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avg: parseFloat(avg.toFixed(1)),
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count: jobScores[job].count
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};
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}).sort((a, b) => b.avg - a.avg);
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sortedJobs.forEach((item, index) => {
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console.log(`${index + 1}. ${item.job}: Avg=${item.avg}점, Count=${item.count}대`);
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});
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console.log('Total PCs (excluding Stock):', totalPcs);
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