Files
medreport_mrb2b/app/home/(user)/_lib/server/ai-actions.ts
2025-10-23 16:48:27 +03:00

213 lines
5.8 KiB
TypeScript

'use server';
import { AccountWithParams } from '@/packages/features/accounts/src/types/accounts';
import { getSupabaseServerClient } from '@/packages/supabase/src/clients/server-client';
import OpenAI from 'openai';
import PersonalCode from '~/lib/utils';
import {
AnalysisResponses,
ILifeStyleResponse,
PROMPT_NAME,
} from '../../_components/ai/types';
import { OrderAnalysisCard } from '../../_components/order-analyses-cards';
async function getLatestResponseTime(items?: AnalysisResponses) {
if (!items?.length) return null;
let latest = null;
for (const it of items) {
const d = new Date(it.response_time);
const t = d.getTime();
if (!Number.isNaN(t) && (latest === null || t > latest.getTime())) {
latest = d;
}
}
return latest;
}
export async function updateLifeStyle({
account,
analysisResponses,
}: {
account: AccountWithParams;
analysisResponses?: AnalysisResponses;
}): Promise<ILifeStyleResponse> {
const LIFE_STYLE_PROMPT_ID = process.env.PROMPT_ID_LIFE_STYLE;
if (!LIFE_STYLE_PROMPT_ID || !account?.personal_code) {
return {
lifestyle: [],
summary: null,
};
}
const openAIClient = new OpenAI();
const supabaseClient = getSupabaseServerClient();
const { gender, age } = PersonalCode.parsePersonalCode(account.personal_code);
const weight = account.accountParams?.weight || 'unknown';
const height = account.accountParams?.height || 'unknown';
const isSmoker = !!account.accountParams?.isSmoker;
const cholesterol =
analysisResponses
?.find((ar) => ar.analysis_name_lab === 'Kolesterool')
?.response_value.toString() || 'unknown';
const ldl =
analysisResponses
?.find((ar) => ar.analysis_name_lab === 'LDL kolesterool')
?.response_value.toString() || 'unknown';
const hdl =
analysisResponses
?.find((ar) => ar.analysis_name_lab === 'HDL kolesterool')
?.response_value.toString() || 'unknown';
const vitamind =
analysisResponses
?.find((ar) => ar.analysis_name_lab === 'Vitamiin D (25-OH)')
?.response_value.toString() || 'unknown';
const latestResponseTime = await getLatestResponseTime(analysisResponses);
const latestISO = latestResponseTime
? new Date(latestResponseTime).toISOString()
: new Date('2025').toISOString();
try {
const response = await openAIClient.responses.create({
store: false,
prompt: {
id: LIFE_STYLE_PROMPT_ID,
variables: {
gender: gender.value,
age: age.toString(),
weight: weight.toString(),
height: height.toString(),
cholesterol,
ldl,
hdl,
vitamind,
is_smoker: isSmoker.toString(),
},
},
});
await supabaseClient
.schema('medreport')
.from('ai_responses')
.insert({
account_id: account.id,
prompt_name: PROMPT_NAME.LIFE_STYLE,
prompt_id: LIFE_STYLE_PROMPT_ID,
input: JSON.stringify({
gender: gender.value,
age: age.toString(),
weight: weight.toString(),
cholesterol,
ldl,
hdl,
vitamind,
is_smoker: isSmoker.toString(),
}),
latest_data_change: latestISO,
response: response.output_text,
});
const json = JSON.parse(response.output_text);
return json;
} catch (error) {
console.error('Error calling OpenAI: ', error);
return {
lifestyle: [],
summary: null,
};
}
}
export async function updateRecommendations({
analyses,
analysisResponses,
account,
}: {
analyses: OrderAnalysisCard[];
analysisResponses?: AnalysisResponses;
account: AccountWithParams;
}) {
const RECOMMENDATIONS_PROMPT_IT =
process.env.PROMPT_ID_ANALYSIS_RECOMMENDATIONS;
if (!RECOMMENDATIONS_PROMPT_IT || !account?.personal_code) {
console.error('No prompt ID for analysis recommendations');
return [];
}
const openAIClient = new OpenAI();
const supabaseClient = getSupabaseServerClient();
const { gender, age } = PersonalCode.parsePersonalCode(account.personal_code);
const weight = account.accountParams?.weight || 'unknown';
const formattedAnalysisResponses = analysisResponses?.map(
({
analysis_name_lab,
response_value,
norm_upper,
norm_lower,
norm_status,
}) => ({
name: analysis_name_lab,
value: response_value,
normUpper: norm_upper,
normLower: norm_lower,
normStatus: norm_status,
}),
);
const formattedAnalyses = analyses.map(({ description, title }) => ({
description,
title,
}));
const latestResponseTime = await getLatestResponseTime(analysisResponses);
const latestISO = latestResponseTime
? new Date(latestResponseTime).toISOString()
: new Date('2025').toISOString();
try {
const response = await openAIClient.responses.create({
store: false,
prompt: {
id: RECOMMENDATIONS_PROMPT_IT,
variables: {
analyses: JSON.stringify(formattedAnalyses),
results: JSON.stringify(formattedAnalysisResponses),
gender: gender.value,
age: age.toString(),
weight: weight.toString(),
},
},
});
await supabaseClient
.schema('medreport')
.from('ai_responses')
.insert({
account_id: account.id,
prompt_name: PROMPT_NAME.ANALYSIS_RECOMMENDATIONS,
prompt_id: RECOMMENDATIONS_PROMPT_IT,
input: JSON.stringify({
analyses: formattedAnalyses,
results: formattedAnalysisResponses,
gender,
age,
weight,
}),
latest_data_change: latestISO,
response: response.output_text,
});
const json = JSON.parse(response.output_text);
return json.recommended;
} catch (error) {
console.error('Error getting recommendations: ', error);
return [];
}
}