Files
medreport_mrb2b/app/home/(user)/_lib/server/load-recommendations.ts
2025-09-19 16:54:21 +03:00

121 lines
3.5 KiB
TypeScript

import { cache } from 'react';
import { AccountWithParams } from '@/packages/features/accounts/src/types/accounts';
import OpenAI from 'openai';
import PersonalCode from '~/lib/utils';
import { AnalysisTestResponse } from '../../(dashboard)/analysis-results/test/test-responses';
import { OrderAnalysisCard } from '../../_components/order-analyses-cards';
export const loadRecommendations = cache(recommendationsLoader);
type FormattedAnalysisResponse = {
value: string;
name: string;
responseTime: string;
};
const getLatestResponseTime = (items: FormattedAnalysisResponse[]) => {
if (!items?.length) return null;
let latest = null;
for (const it of items) {
const d = new Date(it.responseTime);
const t = d.getTime();
if (!Number.isNaN(t) && (latest === null || t > latest.getTime())) {
latest = d;
}
}
return latest;
};
const getLatestUniqueAnalysResponses = (
analysisResponses: AnalysisTestResponse[],
): { name: string; value: string; responseTime: string }[] => {
const analysisElements = analysisResponses
.map(({ orderedAnalysisElements }) => orderedAnalysisElements)
.flat();
console.log('analysisElements', analysisElements.length);
const byName = analysisElements.reduce<
Record<string, { name: string; value: string; responseTime: string }>
>((acc, it) => {
const responseTime = it?.results?.responseTime;
const responseValue = it?.results?.responseValue;
if (!responseTime || !responseValue) return acc;
const key = it.analysisName;
const cur = acc[key];
const t = Date.parse(responseTime);
const prevT = cur ? Date.parse(cur.responseTime) : -Infinity;
if (!cur || t > prevT) {
acc[key] = {
name: key,
value: responseValue.toString(),
responseTime,
};
}
return acc;
}, {});
return Object.values(byName);
};
async function recommendationsLoader(
analysisResponses: AnalysisTestResponse[],
analyses: OrderAnalysisCard[],
account: AccountWithParams | null,
): Promise<any> {
if (!process.env.OPENAI_API_KEY) {
return [];
}
if (!account?.personal_code) {
return [];
}
const client = new OpenAI();
const { gender } = PersonalCode.parsePersonalCode(account.personal_code);
console.log('analysisResponses', analysisResponses);
console.log('analyises', analyses);
const latestUniqueAnalysResponses =
getLatestUniqueAnalysResponses(analysisResponses);
// const latestResponseTime = getLatestResponseTime(latestUniqueAnalysResponses);
// const latestISO = latestResponseTime
// ? new Date(latestResponseTime).toISOString()
// : 'none';
// console.log('latestResponseTime', latestResponseTime);
const formattedAnalysisResponses = latestUniqueAnalysResponses.map(
({ name, value }) => ({ name, value }),
);
const formattedAnalyses = analyses.map(({ description, title }) => ({
description,
title,
}));
console.log('formattedAnalyses', JSON.stringify(formattedAnalyses));
console.log(
'latestUniqueAnalysResponses',
JSON.stringify(latestUniqueAnalysResponses),
);
const response = await client.responses.create({
model: 'gpt-5-mini',
store: false,
prompt: {
id: 'pmpt_68ca9c8bfa8c8193b27eadc6496c36440df449ece4f5a8dd',
variables: {
analyses: JSON.stringify(formattedAnalyses),
results: JSON.stringify(formattedAnalysisResponses),
gender: gender.value,
},
},
});
const json = JSON.parse(response.output_text);
console.log('response.output_text', response.output_text);
return json.recommended;
}