add api

app/home/(user)/_components/recommendations.tsx

@@ -1,6 +1,6 @@
 'use server';
 
-import React, { useState } from 'react';
+import React from 'react';
 
 import { AccountWithParams } from '@/packages/features/accounts/src/types/accounts';
 
@@ -15,14 +15,14 @@ export default async function Recommendations({
   account: AccountWithParams;
 }) {
   const { analyses, countryCode } = await loadAnalyses();
-  const [isLoadingTimeSlots, setIsLoadingTimeSlots] = useState(false);
   const analysisResults = analysisResponses;
-  console.log('selectedDate', isLoadingTimeSlots);
+
   const analysisRecommendations = await loadRecommendations(
     analysisResults,
     analyses,
     account,
   );
+
   const orderAnalyses = analyses.filter((analysis) =>
     analysisRecommendations.includes(analysis.title),
   );

app/home/(user)/_lib/server/load-recommendations.ts

@@ -1,6 +1,8 @@
 import { cache } from 'react';
 
 import { AccountWithParams } from '@/packages/features/accounts/src/types/accounts';
+import { getSupabaseServerClient } from '@/packages/supabase/src/clients/server-client';
+import { createServerClient } from '@supabase/ssr';
 import OpenAI from 'openai';
 
 import PersonalCode from '~/lib/utils';
@@ -75,18 +77,30 @@ async function recommendationsLoader(
   if (!account?.personal_code) {
     return [];
   }
+  const supabaseClient = getSupabaseServerClient();
 
-  const client = new OpenAI();
-  const { gender } = PersonalCode.parsePersonalCode(account.personal_code);
-  console.log('analysisResponses', analysisResponses);
-  console.log('analyises', analyses);
+  const analysesRecommendationsPromptId =
+    'pmpt_68ca9c8bfa8c8193b27eadc6496c36440df449ece4f5a8dd';
   const latestUniqueAnalysResponses =
     getLatestUniqueAnalysResponses(analysisResponses);
-  // const latestResponseTime = getLatestResponseTime(latestUniqueAnalysResponses);
-  // const latestISO = latestResponseTime
-  //   ? new Date(latestResponseTime).toISOString()
-  //   : 'none';
-  // console.log('latestResponseTime', latestResponseTime);
+  const latestResponseTime = getLatestResponseTime(latestUniqueAnalysResponses);
+  const latestISO = latestResponseTime
+    ? new Date(latestResponseTime).toISOString()
+    : 'none';
+
+  const previouslyRecommended = await supabaseClient
+    .schema('medreport')
+    .from('ai_responses')
+    .select('*')
+    .eq('account_id', account.id)
+    .eq('prompt_id', analysesRecommendationsPromptId)
+    .eq('latest_data_change', latestISO);
+
+  const openAIClient = new OpenAI();
+  const { gender, age } = PersonalCode.parsePersonalCode(account.personal_code);
+  const weight = account.accountParams?.weight || 'unknown';
+  console.log('analysisResponses', analysisResponses);
+  console.log('analyises', analyses);
   const formattedAnalysisResponses = latestUniqueAnalysResponses.map(
     ({ name, value }) => ({ name, value }),
   );
@@ -95,23 +109,20 @@ async function recommendationsLoader(
     title,
   }));
 
-  console.log('formattedAnalyses', JSON.stringify(formattedAnalyses));
-  console.log(
-    'latestUniqueAnalysResponses',
-    JSON.stringify(latestUniqueAnalysResponses),
-  );
-
-  const response = await client.responses.create({
+  const response = await openAIClient.responses.create({
     model: 'gpt-5-mini',
     store: false,
     prompt: {
-      id: 'pmpt_68ca9c8bfa8c8193b27eadc6496c36440df449ece4f5a8dd',
+      id: analysesRecommendationsPromptId,
       variables: {
         analyses: JSON.stringify(formattedAnalyses),
         results: JSON.stringify(formattedAnalysisResponses),
         gender: gender.value,
+        age: age.toString(),
+        weight: weight.toString(),
       },
     },
+    max_output_tokens: 100,
   });
 
   const json = JSON.parse(response.output_text);