add doctor feedback

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

@@ -1,29 +1,57 @@
 import { cache } from 'react';
 
 import { AccountWithParams } from '@/packages/features/accounts/src/types/accounts';
+import { getLogger } from '@/packages/shared/src/logger';
 import { getSupabaseServerClient } from '@/packages/supabase/src/clients/server-client';
 
-import { PROMPT_NAME } from '../../_components/ai/types';
+import { AnalysisResponses, PROMPT_NAME } from '../../_components/ai/types';
+import { OrderAnalysisCard } from '../../_components/order-analyses-cards';
+import { updateRecommendations } from './ai-actions';
 
 export const loadRecommendations = cache(recommendationsLoader);
 
-async function recommendationsLoader(
-  account: AccountWithParams | null,
-): Promise<string[]> {
+async function recommendationsLoader({
+  account,
+  isDoctorView = false,
+  analyses,
+  analysisResponses,
+  aiResponseTimestamp,
+}: {
+  account: AccountWithParams | null;
+  isDoctorView?: boolean;
+  analyses: OrderAnalysisCard[];
+  analysisResponses?: AnalysisResponses;
+  aiResponseTimestamp: string;
+}): Promise<string[]> {
+  const logger = await getLogger();
   if (!account?.personal_code) {
     return [];
   }
   const supabaseClient = getSupabaseServerClient();
 
-  const { data, error } = await supabaseClient
+  const query = supabaseClient
     .schema('medreport')
     .from('ai_responses')
     .select('*')
     .eq('account_id', account.id)
-    .eq('prompt_name', PROMPT_NAME.ANALYSIS_RECOMMENDATIONS)
-    .order('latest_data_change', { ascending: false, nullsFirst: false })
-    .limit(1)
-    .maybeSingle();
+    .eq('prompt_name', PROMPT_NAME.ANALYSIS_RECOMMENDATIONS);
+
+  logger.info(
+    { accountId: account.id, isDoctorView, aiResponseTimestamp },
+    'Attempting to receive existing recommendations',
+  );
+
+  if (isDoctorView) {
+    query.eq('latest_data_change', aiResponseTimestamp);
+  } else {
+    query
+      .eq('is_visible_to_customer', true)
+      .order('latest_data_change', { ascending: false, nullsFirst: false });
+  }
+
+  const { data, error } = await query.limit(1).maybeSingle();
+
+  logger.info({ data: data }, 'Existing recommendations');
 
   if (error) {
     console.error('Error fetching AI response from DB: ', error);
@@ -33,6 +61,14 @@ async function recommendationsLoader(
   if (data?.response) {
     return JSON.parse(data.response as string).recommended;
   } else {
+    if (isDoctorView) {
+      return await updateRecommendations({
+        account,
+        analyses,
+        analysisResponses,
+        aiResponseTimestamp,
+      });
+    }
     return [];
   }
 }