add analysis recommendation
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153
app/home/(user)/_lib/server/load-recommendations.ts
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153
app/home/(user)/_lib/server/load-recommendations.ts
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import { cache } from 'react';
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import { unstable_cache } from 'next/cache';
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import { AccountWithParams } from '@/packages/features/accounts/src/types/accounts';
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import crypto from 'crypto';
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import OpenAI from 'openai';
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import PersonalCode from '~/lib/utils';
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import { AnalysisTestResponse } from '../../(dashboard)/analysis-results/test/test-responses';
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import { OrderAnalysisCard } from '../../_components/order-analyses-cards';
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export const loadRecommendations = cache(recommendationsLoader);
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type FormattedAnalysisResponse = {
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value: string;
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name: string;
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responseTime: string;
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};
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function canonical(v: unknown): string {
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return JSON.stringify(v, (_k, val) => {
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if (val && typeof val === 'object' && !Array.isArray(val)) {
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// sort object keys for stable JSON
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return Object.keys(val)
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.sort()
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.reduce((o: any, k) => ((o[k] = (val as any)[k]), o), {});
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}
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return val;
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});
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}
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const sha256 = (s: string) =>
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crypto.createHash('sha256').update(s).digest('hex');
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const getLatestResponseTime = (items: FormattedAnalysisResponse[]) => {
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if (!items?.length) return null;
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let latest = null;
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for (const it of items) {
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const d = new Date(it.responseTime);
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const t = d.getTime();
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if (!Number.isNaN(t) && (latest === null || t > latest.getTime())) {
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latest = d;
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}
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}
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return latest;
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};
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const getLatestUniqueAnalysResponses = (
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analysisResponses: AnalysisTestResponse[],
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): { name: string; value: string; responseTime: string }[] => {
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const analysisElements = analysisResponses
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.map(({ orderedAnalysisElements }) => orderedAnalysisElements)
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.flat();
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console.log('analysisElements', analysisElements.length);
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const map = new Map();
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for (const it of analysisElements) {
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const prev = map.get(it.analysisName);
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if (it.results.responseTime) {
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if (
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!prev ||
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new Date(it.results.responseTime) > new Date(prev.responseTime)
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) {
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map.set(it.analysisName, {
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name: it.analysisName,
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value: it.results.responseValue,
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responseTime: it.results.responseTime,
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});
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}
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}
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}
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return [...map.values()];
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};
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async function recommendationsLoader(
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analysisResponses: AnalysisTestResponse[],
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analyses: OrderAnalysisCard[],
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account: AccountWithParams | null,
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): Promise<any> {
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if (!account?.personal_code) {
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return [];
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}
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const client = new OpenAI();
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const { gender } = PersonalCode.parsePersonalCode(account.personal_code);
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console.log('analysisResponses', analysisResponses);
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console.log('analyises', analyses);
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const latestUniqueAnalysResponses =
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getLatestUniqueAnalysResponses(analysisResponses);
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const latestResponseTime = getLatestResponseTime(latestUniqueAnalysResponses);
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const latestISO = latestResponseTime
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? new Date(latestResponseTime).toISOString()
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: 'none';
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console.log('latestResponseTime', latestResponseTime);
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const formattedAnalysisResponses = latestUniqueAnalysResponses.map(
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({ name, value }) => ({ name, value }),
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);
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const formattedAnalyses = analyses.map(({ description, title }) => ({
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description,
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title,
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}));
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console.log('formattedAnalyses', JSON.stringify(formattedAnalyses));
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console.log(
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'latestUniqueAnalysResponses',
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JSON.stringify(latestUniqueAnalysResponses),
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);
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const response = await client.responses.create({
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model: 'gpt-5',
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store: false,
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prompt: {
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id: 'pmpt_68ca9c8bfa8c8193b27eadc6496c36440df449ece4f5a8dd',
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variables: {
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analyses: JSON.stringify(formattedAnalyses),
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results: JSON.stringify(formattedAnalysisResponses),
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gender: gender.value,
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},
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},
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});
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const responseJson = JSON.parse(response.output_text);
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console.log('responseJson: ', responseJson);
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const keyPayload = {
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model: 'gpt-5', // swap to a model your project can access
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promptId: 'pmpt_68ca9c8bfa8c8193b27eadc6496c36440df449ece4f5a8dd',
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latestISO,
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};
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const key = 'recs:' + sha256(canonical(keyPayload));
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const run = unstable_cache(async () => {
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const response = await client.responses.create({
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model: keyPayload.model,
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store: false,
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prompt: {
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id: keyPayload.promptId,
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variables: {
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analyses: JSON.stringify(formattedAnalyses),
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results: JSON.stringify(latestUniqueAnalysResponses),
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gender: gender.value,
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},
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},
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});
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const json = JSON.parse(response.output_text);
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return json.recommended;
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}, ['recommendations', key]);
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return await run();
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}
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