237 lines
8.5 KiB
TypeScript
237 lines
8.5 KiB
TypeScript
import { ScoreDirection, ScoreMetric, ScoreSummary, ScoreThreshold } from '@/lib/assessment-types';
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import { getScoringMetadata, MetricDefinition, QuestionnaireScoringMetadata } from '@/lib/scoring-metadata';
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import {
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calculateBigFiveResults,
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calculateIpipNeoResults,
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ipipNeoItemsByVersion,
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} from '@/components/questionnaire/test/private/BigFiveCalculator';
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import { calculateHEXACOResults } from '@/components/questionnaire/test/private/HEXACOCalculator';
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import { calculateRIASECResults } from '@/components/questionnaire/test/private/RIASECCalculator';
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import {
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calculateSchwartzResults,
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higherOrderNames,
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} from '@/components/questionnaire/test/private/SchwartzCalculator';
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const fallbackMetadata: QuestionnaireScoringMetadata = {
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questionnaireVersion: 'unknown-questionnaire-v1',
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scoreVersion: 'mindscope-raw-v1',
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min: 0,
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reverseItems: [],
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direction: 'trait',
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highScoreMeaning: '高分代表原始作答总和更高,具体含义需要结合量表说明查看。',
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thresholds: [],
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note: '该量表暂以结构化原始分保存,用于保留完整记录与后续复核,不替代量表结果页中的正式解释。',
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};
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const labelMap: Record<string, string> = {
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extraversion: '外向性',
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agreeableness: '宜人性',
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conscientiousness: '尽责性',
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emotionalStability: '情绪稳定性',
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openness: '开放性',
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neuroticism: '神经质',
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honestyHumility: '诚实谦逊',
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emotionality: '情绪性',
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depression: '抑郁',
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anxiety: '焦虑',
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stress: '压力',
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opennessToChange: '开放变化',
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conservation: '保守稳定',
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selfEnhancement: '自我提升',
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selfTranscendence: '自我超越',
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R: '现实型',
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I: '研究型',
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A: '艺术型',
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S: '社会型',
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E: '企业型',
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C: '常规型',
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total: '总分',
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raw: '原始作答总和',
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};
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function sum(answers: string[]) {
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return answers.reduce((total, answer) => total + (Number(answer) || 0), 0);
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}
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function keyed(answers: string[]) {
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return Object.fromEntries(answers.map((answer, index) => [index + 1, answer]));
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}
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function metadataFor(questionnaireId: string) {
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return getScoringMetadata(questionnaireId) || {
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...fallbackMetadata,
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questionnaireVersion: `${questionnaireId || 'unknown'}-v1`,
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};
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}
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function thresholdLabel(value: number, thresholds: ScoreThreshold[]) {
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if (!thresholds.length) return undefined;
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return thresholds.reduce((current, threshold) => (
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value >= threshold.min ? threshold.label : current
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), thresholds[0].label);
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}
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function metricDefinition(meta: QuestionnaireScoringMetadata, key: string): MetricDefinition | undefined {
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return meta.metrics?.find((item) => item.key === key);
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}
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function makeMetric(
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meta: QuestionnaireScoringMetadata,
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key: string,
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label: string,
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value: number,
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overrides: Partial<ScoreMetric> = {},
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): ScoreMetric {
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const definition = metricDefinition(meta, key);
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const min = overrides.min ?? definition?.min ?? meta.min;
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const max = overrides.max ?? definition?.max ?? meta.max;
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const thresholds = overrides.thresholds ?? definition?.thresholds ?? meta.thresholds;
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return {
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key,
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label,
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value,
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min,
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max,
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direction: overrides.direction ?? definition?.direction ?? meta.direction,
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highScoreMeaning: overrides.highScoreMeaning ?? definition?.highScoreMeaning ?? meta.highScoreMeaning,
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thresholds,
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level: overrides.level ?? thresholdLabel(value, thresholds),
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};
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}
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function finalize(
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questionnaireId: string,
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metrics: ScoreMetric[],
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primary?: ScoreMetric,
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options: { note?: string; scoringStatus?: ScoreSummary['scoringStatus'] } = {},
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): ScoreSummary {
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const meta = metadataFor(questionnaireId);
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return {
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primary,
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metrics,
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note: options.note ?? meta.note,
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questionnaireVersion: meta.questionnaireVersion,
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scoreVersion: meta.scoreVersion,
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min: meta.min,
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max: meta.max,
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reverseItems: meta.reverseItems,
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direction: meta.direction,
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highScoreMeaning: meta.highScoreMeaning,
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thresholds: meta.thresholds,
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scoringStatus: options.scoringStatus ?? 'structured',
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};
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}
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export function buildScoreSummary(questionnaireId: string, answers: string[]): ScoreSummary {
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const meta = metadataFor(questionnaireId);
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if (questionnaireId === 'bigfive') {
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const result = calculateBigFiveResults(answers);
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const metrics = Object.entries(result).map(([key, value]) => (
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makeMetric(meta, key, labelMap[key] || key, value.score, { min: 10, max: 50 })
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));
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return finalize(questionnaireId, metrics);
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}
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if (questionnaireId === 'bigfive-120' || questionnaireId === 'bigfive-300') {
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const version = questionnaireId === 'bigfive-120' ? 120 : 300;
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const result = calculateIpipNeoResults(answers, [...ipipNeoItemsByVersion[version]]);
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const perDomainMax = version === 120 ? 120 : 300;
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const metrics = Object.entries(result.domains).map(([key, value]) => (
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makeMetric(meta, key, labelMap[key] || key, value.score, {
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min: value.itemCount,
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max: perDomainMax,
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})
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));
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return finalize(questionnaireId, metrics);
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}
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if (questionnaireId === 'hexaco') {
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const metrics = Object.entries(calculateHEXACOResults(answers)).map(([key, value]) => (
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makeMetric(meta, key, labelMap[key] || key, Number(value.toFixed(2)), { min: 1, max: 5 })
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));
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return finalize(questionnaireId, metrics);
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}
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if (questionnaireId === 'riasec') {
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const result = calculateRIASECResults(answers);
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const metrics = Object.entries(result.scores).map(([key, value]) => (
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makeMetric(meta, key, labelMap[key] || key, value.score, { min: 0, max: 40 })
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));
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const primary = makeMetric(meta, 'holland', `霍兰德代码:${result.hollandCode}`, result.ranking[0][1].score, {
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min: 0,
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max: 40,
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});
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return finalize(questionnaireId, metrics, primary);
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}
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if (questionnaireId === 'schwartz') {
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const result = calculateSchwartzResults(answers);
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const metrics = Object.entries(result.higherOrderScores).map(([key, value]) => (
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makeMetric(meta, key, higherOrderNames[key as keyof typeof higherOrderNames] || labelMap[key] || key, Number(value.toFixed(2)), {
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min: 1,
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max: 5,
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})
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));
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return finalize(questionnaireId, metrics);
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}
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if (questionnaireId === 'dass21') {
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const answerMap = keyed(answers);
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const groups = {
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depression: [3, 5, 10, 13, 16, 17, 21],
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anxiety: [2, 4, 7, 9, 15, 19, 20],
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stress: [1, 6, 8, 11, 12, 14, 18],
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};
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const metrics = Object.entries(groups).map(([key, ids]) => {
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const value = ids.reduce((total, id) => total + Number(answerMap[id] || 0), 0) * 2;
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return makeMetric(meta, key, labelMap[key] || key, value, { min: 0, max: 42 });
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});
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return finalize(questionnaireId, metrics);
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}
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if (questionnaireId === 'pss10') {
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const reverse = new Set([4, 5, 7, 8]);
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const score = answers.reduce((total, answer, index) => {
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const value = Number(answer) || 0;
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return total + (reverse.has(index + 1) ? 4 - value : value);
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}, 0);
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const primary = makeMetric(meta, 'total', 'PSS-10 总分', score, { min: 0, max: 40 });
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return finalize(questionnaireId, [primary], primary);
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}
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if (questionnaireId === 'sds') {
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const reverse = new Set([2, 5, 6, 11, 12, 14, 16, 17, 18, 20]);
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const original = answers.reduce((total, answer, index) => {
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const value = Number(answer) || 0;
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return total + (reverse.has(index + 1) ? 5 - value : value);
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}, 0);
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const score = Math.round(original * 1.25);
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const primary = makeMetric(meta, 'total', 'SDS 标准分', score, { min: 25, max: 100 });
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return finalize(questionnaireId, [primary], primary);
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}
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const raw = sum(answers);
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const single: Record<string, { label: string; value: number; max?: number }> = {
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phq9: { label: 'PHQ-9 总分', value: raw, max: 27 },
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gad7: { label: 'GAD-7 总分', value: raw, max: 21 },
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isi: { label: 'ISI 总分', value: raw, max: 28 },
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bdi2: { label: 'BDI-II 总分', value: raw, max: 63 },
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who5: { label: 'WHO-5 百分制得分', value: raw * 4, max: 100 },
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crt: { label: 'CRT 答对题数', value: raw, max: 7 },
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};
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if (single[questionnaireId]) {
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const item = single[questionnaireId];
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const primary = makeMetric(meta, 'total', item.label, item.value, { min: meta.min, max: item.max ?? meta.max });
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return finalize(questionnaireId, [primary], primary);
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}
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const primary = makeMetric(meta, 'raw', '原始作答总和', raw, {
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min: meta.min,
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max: meta.max,
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direction: meta.direction as ScoreDirection,
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});
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return finalize(questionnaireId, [primary], primary, { scoringStatus: 'raw' });
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}
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