john
2baf29b3ae
Deliver encrypted health zone, observation API, baseline maturity pipeline, page-data bindings, and H5/WeChat channel integration for health P0. Co-authored-by: Cursor <cursoragent@cursor.com>
80 lines
3.2 KiB
JavaScript
80 lines
3.2 KiB
JavaScript
import assert from 'node:assert/strict';
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import test from 'node:test';
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import { createInMemoryHealthObservationStore } from './health-observation-store.mjs';
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import { createInMemoryHealthObservationDraftStore } from './health-observation-draft-store.mjs';
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import { createHealthObservationService } from './health-observation-service.mjs';
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import { createHealthObservationDraftService } from './health-observation-draft-service.mjs';
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import { normalizeHealthDocumentOcr, parseHealthDocumentOcrJson } from './health-document-ocr.mjs';
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import { buildHealthAgentContext, wrapHealthAgentUserMessage } from './health-agent-context.mjs';
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import { hashHealthImageBuffer } from './health-image-hash.mjs';
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test('hashHealthImageBuffer is stable for same bytes', () => {
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const buffer = Buffer.from('health-image-bytes');
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assert.equal(hashHealthImageBuffer(buffer), hashHealthImageBuffer(buffer));
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});
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test('draft service dedups by sourceRef and commits after confirm', async () => {
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const observationStore = createInMemoryHealthObservationStore();
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const draftStore = createInMemoryHealthObservationDraftStore();
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const observationService = createHealthObservationService({ store: observationStore });
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const draftService = createHealthObservationDraftService({ draftStore, observationService });
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const userId = 'u1';
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const sourceRef = 'sha256-deadbeef';
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const extraction = {
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ok: true,
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metricSet: 'heart_rate',
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values: { hr: 72 },
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lowConfidence: false,
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};
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const draft1 = await draftService.saveExtractionDraft(userId, {
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extraction,
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sourceRef,
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channel: 'h5',
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});
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const draft2 = await draftService.saveExtractionDraft(userId, {
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extraction,
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sourceRef,
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channel: 'h5',
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});
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assert.equal(draft1.draftKey, draft2.draftKey);
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const result = await draftService.commitDraft(userId, draft1.draftKey, { source: 'photo' });
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assert.equal(result.observations.length, 1);
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assert.equal(result.observations[0].metricType, 'hr');
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assert.equal(result.observations[0].sourceRef, sourceRef);
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});
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test('normalizeHealthDocumentOcr parses lab metrics', () => {
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const parsed = parseHealthDocumentOcrJson(
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'{"doc_type":"lab","report_date":"2026-08-01","institution":"市医院","title":"血常规","metrics":[{"name":"WBC","value":"6.2","unit":"10^9/L","flag":""}],"summary":"血常规报告","confidence":0.9}',
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);
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const normalized = normalizeHealthDocumentOcr(parsed);
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assert.equal(normalized.ok, true);
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assert.equal(normalized.extractedMetrics.length, 1);
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assert.equal(normalized.extractionStatus, 'partial');
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});
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test('buildHealthAgentContext wraps assess summary', () => {
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const now = Date.parse('2026-09-02T08:00:00+08:00');
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const observations = [];
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for (let i = 0; i < 8; i += 1) {
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const day = new Date(now - i * 86400000);
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observations.push({
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confirmed: true,
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observedAt: day.getTime(),
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metricType: 'bp_systolic',
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valueNum: 120 + i,
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unit: 'mmHg',
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context: 'morning',
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source: 'manual',
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qualityFlag: 'ok',
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});
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}
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const context = buildHealthAgentContext(observations, { now });
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assert.match(context, /健康档案摘要/);
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const wrapped = wrapHealthAgentUserMessage(context, '最近怎么样？');
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assert.match(wrapped, /最近怎么样/);
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});
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