add doctor feedback
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98
app/doctor/_lib/server/load-doctor-feedback.ts
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98
app/doctor/_lib/server/load-doctor-feedback.ts
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@@ -0,0 +1,98 @@
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import { cache } from 'react';
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import { PROMPT_NAME } from '@/app/home/(user)/_components/ai/types';
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import { generateDoctorFeedback } from '@/app/home/(user)/_lib/server/ai-actions';
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import {
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AnalysisResponse,
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Patient,
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} from '@/packages/features/doctor/src/lib/server/schema/doctor-analysis-detail-view.schema';
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import { getLogger } from '@/packages/shared/src/logger';
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import { getSupabaseServerClient } from '@/packages/supabase/src/clients/server-client';
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export const loadDoctorFeedback = cache(doctorFeedbackLoader);
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const PLACEHOLDER = {
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ANALYSES: 'SOOVITATUD_ANALYYSID_PLACEHOLDER',
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LIFE_STYLE_SUMMARY: 'ELUSTIILI_KOKKUVOTTE_PLACEHOLDER',
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PATIENT_NAME: 'PATSIENDI_NIMI_PLACEHOLDER',
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DOCTOR_NAME: 'ARSTI_NIMI_PLACEHOLDER',
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ANALYSES_DATE: 'ANALYYSI_KUUPAEV_PLACEHOLDER',
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};
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export const prepareFeedback = ({
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aiResponse,
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recommendations,
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lifeStyleSummary,
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patientName,
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doctorName,
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aiResponseTimestamp,
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}: {
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aiResponse: string;
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recommendations?: string[];
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lifeStyleSummary: string | null;
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patientName: string;
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doctorName: string;
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aiResponseTimestamp: string;
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}) => {
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const recommendationsList = recommendations
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? recommendations.map((analysis) => `${analysis}`).join('\n')
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: '';
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const feedback = aiResponse
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.replace(PLACEHOLDER.ANALYSES, recommendationsList)
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.replace(PLACEHOLDER.LIFE_STYLE_SUMMARY, lifeStyleSummary ?? '')
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.replace(PLACEHOLDER.PATIENT_NAME, patientName)
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.replace(PLACEHOLDER.DOCTOR_NAME, doctorName)
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.replace(
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PLACEHOLDER.ANALYSES_DATE,
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new Date(aiResponseTimestamp).toLocaleString(),
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);
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return feedback;
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};
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async function doctorFeedbackLoader(
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patient: Patient | null,
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analysisResponses: AnalysisResponse[],
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aiResponseTimestamp: string,
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): Promise<string> {
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const logger = await getLogger();
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if (!patient?.personalCode) {
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return '';
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}
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const supabaseClient = getSupabaseServerClient();
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logger.info(
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{
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aiResponseTimestamp,
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patientId: patient.userId,
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},
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'Attempting to receive existing doctor feedback',
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);
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const { data, error } = await supabaseClient
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.schema('medreport')
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.from('ai_responses')
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.select('*')
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.eq('account_id', patient.userId)
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.eq('prompt_name', PROMPT_NAME.FEEDBACK)
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.eq('latest_data_change', aiResponseTimestamp)
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.limit(1)
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.maybeSingle();
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logger.info({ data: !!data }, 'Existing doctor feedback');
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if (error) {
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console.error('Error fetching AI response from DB: ', error);
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return '';
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}
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if (data?.response) {
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return data.response as string;
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} else {
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return await generateDoctorFeedback({
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patient,
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analysisResponses,
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aiResponseTimestamp,
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});
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}
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}
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