feat: add digital-intern live-qa endpoints for pinpoint hearing assistance

src/controllers/case.controller.ts

@@ -1,7 +1,7 @@
 import { Response } from 'express';
 import { supabase } from '../lib/supabase';
 import { AuthenticatedRequest } from '../middleware/auth';
-import { runIddianameAnalysis, runCaseNarrativeAnalysis, runStatementAnalysis, runDeficiencyAnalysis, runStrategyAnalysis, runMediationAnalysis } from './document.controller';
+import { runIddianameAnalysis, runCaseNarrativeAnalysis, runStatementAnalysis, runDeficiencyAnalysis, runStrategyAnalysis, runMediationAnalysis, runDigitalInternQa } from './document.controller';
 import { findOrCreateCaseByTitle } from '../lib/caseLookup';
 
 export const createCase = async (req: AuthenticatedRequest, res: Response) => {
@@ -385,3 +385,51 @@ export const deleteCase = async (req: AuthenticatedRequest, res: Response) => {
     res.status(500).json({ error: error.message || 'Internal Server Error' });
   }
 };
+
+export const analyzeDigitalIntern = async (req: AuthenticatedRequest, res: Response) => {
+  try {
+    const { caseId } = req.params;
+    const { question, query } = req.body || {};
+    const questionToUse = question || query;
+
+    if (!caseId) {
+      return res.status(400).json({ error: 'Geçersiz caseId' });
+    }
+
+    if (!questionToUse || !String(questionToUse).trim()) {
+      return res.status(400).json({ error: 'Soru (question) girmelisiniz.' });
+    }
+
+    const { data: docs, error: docsError } = await supabase
+      .from('documents')
+      .select('filename, extracted_text')
+      .eq('case_id', caseId)
+      .order('uploaded_at', { ascending: true });
+    if (docsError) throw docsError;
+
+    const targetDocs = (docs || []).filter(d => d.extracted_text && String(d.extracted_text).trim());
+
+    if (targetDocs.length === 0) {
+      return res.status(400).json({ error: 'Bu dosyada arama yapılabilecek evrak bulunamadı.' });
+    }
+
+    const perDocLimit = Math.max(1000, Math.floor(30000 / targetDocs.length));
+    const combinedText = targetDocs
+      .map((d) => `--- ${d.filename} ---\n${String(d.extracted_text).slice(0, perDocLimit)}`)
+      .join('\n\n');
+
+    const analysisInput = `Aşağıdaki belgeler dava dosyasına aittir:\n\n${combinedText}`;
+
+    const { summaryJson, aiModel } = await runDigitalInternQa(analysisInput, questionToUse);
+
+    // İsteğe bağlı olarak arama sonucunu da 'analyses' tablosuna kaydet
+    await supabase
+      .from('analyses')
+      .insert([{ case_id: caseId, document_id: null, summary_json: { digitalInternResult: summaryJson, question: questionToUse }, model_used: aiModel }]);
+
+    res.json({ result: summaryJson, modelUsed: aiModel });
+  } catch (error: any) {
+    console.error('Digital Intern Error:', error);
+    res.status(500).json({ error: error.message || 'Internal Server Error' });
+  }
+};