Files
ITAM-test/scratch/calculate_job_averages.js

164 lines
5.2 KiB
JavaScript

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