269 lines
7.2 KiB
JavaScript
269 lines
7.2 KiB
JavaScript
const fs = require('fs');
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const path = require('path');
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const portraitEngine = require('../portrait/portrait-engine');
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// 加载规则配置
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function loadRules() {
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const rulesPath = path.join(__dirname, 'pca-rules.json');
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return JSON.parse(fs.readFileSync(rulesPath));
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}
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// 维度1：EXE执行力计算
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function calculateEXE(portrait, rules) {
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const factors = rules.dimensions.EXE.factors;
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const raw = portrait.raw_stats || {};
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const recent = portrait.recent_snapshots?.[0] || {};
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// 连胜率 (30%)
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const streakRate = Math.min(100, (raw.streak || 0) * 10);
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// 完成率 (30%)
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const completionRate = raw.total_items ? (raw.completed_items / raw.total_items) * 100 : 100;
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// 执行节奏得分 (20%)
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const rhythmScore = {
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'快': 100,
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'稳': 80,
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'慢': 50
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}[recent.rhythm] || 60;
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// 摩擦恢复得分 (20%)
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const frictionScore = {
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'无': 100,
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'低': 85,
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'中': 60,
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'高': 30
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}[recent.friction] || 50;
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const total = (
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streakRate * (factors.streak_rate / 100) +
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completionRate * (factors.completion_rate / 100) +
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rhythmScore * (factors.rhythm_score / 100) +
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frictionScore * (factors.friction_recovery / 100)
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);
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return {
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score: Math.round(total),
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details: {
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streakRate,
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completionRate,
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rhythmScore,
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frictionScore
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}
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};
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}
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// 维度2：TEC技术纵深计算
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function calculateTEC(portrait, rules) {
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const factors = rules.dimensions.TEC.factors;
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const raw = portrait.raw_stats || {};
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// EL等级得分 (40%)
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const elScore = raw.el_level ? parseInt(raw.el_level) * 10 : 80;
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// 代码量得分 (30%)
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const codeLines = raw.code_lines || 0;
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const codeScore = Math.min(100, codeLines / 100);
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// 技术栈广度 (30%) - 从最近快照中推断
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const recentSnapshots = portrait.recent_snapshots || [];
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const uniqueModules = new Set();
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recentSnapshots.forEach(s => {
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if (s.raw_stats?.module) uniqueModules.add(s.raw_stats.module);
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});
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const breadthScore = Math.min(100, uniqueModules.size * 25);
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const total = (
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elScore * (factors.el_level / 100) +
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codeScore * (factors.code_lines / 100) +
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breadthScore * (factors.tech_breadth / 100)
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);
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return {
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score: Math.round(total),
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details: {
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elScore,
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codeScore,
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breadthScore
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}
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};
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}
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// 维度3：SYS系统理解力计算
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function calculateSYS(portrait, rules) {
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const factors = rules.dimensions.SYS.factors;
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const recent = portrait.recent_snapshots?.[0] || {};
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// 跨模块能力 (35%)
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const crossModuleScore = portrait.total_sessions > 3 ? 100 : 60;
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// 系统级任务 (35%)
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const systemTasksScore = recent.raw_stats?.completed_items > 3 ? 100 : 70;
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// 工程思维 (30%)
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const engineeringScore = recent.growth?.signals?.includes('自主修复报错') ? 100 : 80;
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const total = (
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crossModuleScore * (factors.cross_module / 100) +
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systemTasksScore * (factors.system_tasks / 100) +
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engineeringScore * (factors.engineering_mind / 100)
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);
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return {
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score: Math.round(total),
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details: {
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crossModuleScore,
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systemTasksScore,
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engineeringScore
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}
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};
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}
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// 维度4：COL协作力计算
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function calculateCOL(portrait, rules) {
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const factors = rules.dimensions.COL.factors;
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const recent = portrait.recent_snapshots?.[0] || {};
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// SYSLOG质量 (40%)
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const syslogScore = recent.will === '强烈' ? 100 : 80;
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// Git协作 (30%) - 从连胜推断
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const gitScore = Math.min(100, (portrait.current_streak || 0) * 20);
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// 人格体协同 (30%)
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const personaScore = recent.mood === '正向' ? 100 : 70;
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const total = (
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syslogScore * (factors.syslog_quality / 100) +
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gitScore * (factors.git_collab / 100) +
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personaScore * (factors.persona_sync / 100)
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);
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return {
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score: Math.round(total),
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details: {
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syslogScore,
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gitScore,
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personaScore
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}
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};
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}
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// 维度5：INI主动性计算
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function calculateINI(portrait, rules) {
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const factors = rules.dimensions.INI.factors;
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const recent = portrait.recent_snapshots?.[0] || {};
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// 意愿信号 (40%)
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const willScore = {
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'强烈': 100,
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'正常': 80,
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'低落': 40,
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'待观察': 50
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}[recent.will] || 60;
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// 自发行为 (30%)
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const selfScore = recent.growth?.signals?.includes('自主解决问题') ? 100 : 70;
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// 72h响应 (30%)
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const responseScore = portrait.current_streak > 0 ? 100 : 50;
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const total = (
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willScore * (factors.will_signal / 100) +
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selfScore * (factors.self_initiative / 100) +
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responseScore * (factors.response_72h / 100)
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);
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return {
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score: Math.round(total),
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details: {
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willScore,
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selfScore,
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responseScore
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}
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};
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}
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// 主计算函数
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function calculate(devId) {
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// 获取画像数据
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const portrait = portraitEngine.getPortrait(devId);
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if (!portrait) {
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throw new Error(`开发者 ${devId} 不存在`);
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}
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const rules = loadRules();
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// 计算各维度
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const exe = calculateEXE(portrait, rules);
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const tec = calculateTEC(portrait, rules);
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const sys = calculateSYS(portrait, rules);
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const col = calculateCOL(portrait, rules);
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const ini = calculateINI(portrait, rules);
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// 加权汇总
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const totalScore = Math.round(
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exe.score * (rules.dimensions.EXE.weight / 100) +
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tec.score * (rules.dimensions.TEC.weight / 100) +
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sys.score * (rules.dimensions.SYS.weight / 100) +
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col.score * (rules.dimensions.COL.weight / 100) +
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ini.score * (rules.dimensions.INI.weight / 100)
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);
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// 等级判定
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let grade = 'D';
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for (const [g, threshold] of Object.entries(rules.grade_thresholds)) {
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if (totalScore >= threshold) {
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grade = g;
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break;
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}
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}
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// 维度摘要
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const summary = `EXE:${exe.score} TEC:${tec.score} SYS:${sys.score} COL:${col.score} INI:${ini.score}`;
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return {
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dev_id: devId,
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timestamp: new Date().toISOString(),
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totalScore,
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grade,
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dimensions: {
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EXE: exe.score,
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TEC: tec.score,
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SYS: sys.score,
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COL: col.score,
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INI: ini.score
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},
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details: {
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EXE: exe.details,
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TEC: tec.details,
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SYS: sys.details,
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COL: col.details,
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INI: ini.details
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},
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summary
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};
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}
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// 便捷方法：直接计算最新画像
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function calculateLatest() {
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const portraits = portraitEngine.getAllPortraits();
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const results = {};
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for (const devId in portraits) {
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results[devId] = calculate(devId);
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}
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return results;
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}
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module.exports = {
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calculate,
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calculateLatest,
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calculateEXE,
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calculateTEC,
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calculateSYS,
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calculateCOL,
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calculateINI
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};
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