VIBN Frontend for Coolify deployment

app/api/projects/[projectId]/knowledge/themes/route.ts

@@ -0,0 +1,105 @@
+import { NextResponse } from 'next/server';
+import { getAdminAuth, getAdminDb } from '@/lib/firebase/admin';
+import { getAlloyDbClient } from '@/lib/db/alloydb';
+import { GeminiLlmClient } from '@/lib/ai/gemini-client';
+import { z } from 'zod';
+
+const ThemeGroupingSchema = z.object({
+  themes: z.array(z.object({
+    theme: z.string().describe('A short, descriptive theme name (2-4 words)'),
+    description: z.string().describe('A brief description of what this theme represents'),
+    insightIds: z.array(z.string()).describe('Array of insight IDs that belong to this theme'),
+  })),
+});
+
+export async function POST(
+  request: Request,
+  { params }: { params: Promise<{ projectId: string }> }
+) {
+  try {
+    const { projectId } = await params;
+    
+    // Authentication (skip in development if no auth header)
+    const authHeader = request.headers.get('Authorization');
+    const isDevelopment = process.env.NODE_ENV === 'development';
+    
+    if (!isDevelopment || authHeader?.startsWith('Bearer ')) {
+      if (!authHeader?.startsWith('Bearer ')) {
+        return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });
+      }
+
+      const token = authHeader.substring(7);
+      const auth = getAdminAuth();
+      const decoded = await auth.verifyIdToken(token);
+      
+      if (!decoded?.uid) {
+        return NextResponse.json({ error: 'Invalid token' }, { status: 401 });
+      }
+    }
+
+    // Get insights from request body
+    const { insights } = await request.json();
+    
+    if (!insights || insights.length === 0) {
+      return NextResponse.json({
+        success: true,
+        themes: [],
+      });
+    }
+
+    console.log('[API /knowledge/themes] Grouping', insights.length, 'insights into themes');
+
+    // Prepare insights for AI analysis
+    const insightsContext = insights.map((insight: any, index: number) => 
+      `[${insight.id}] ${insight.content?.substring(0, 200) || insight.title}`
+    ).join('\n\n');
+
+    // Use AI to group insights into themes
+    const llm = new GeminiLlmClient();
+    const systemPrompt = `You are an expert at analyzing and categorizing information. Given a list of insights/knowledge chunks, group them into meaningful themes. Each theme should represent a coherent topic or concept. Aim for 3-7 themes depending on the diversity of content.`;
+
+    const userPrompt = `Analyze these insights and group them into themes:
+
+${insightsContext}
+
+Group these insights into themes. Each insight ID is in brackets at the start of each line. Return the themes with their associated insight IDs.`;
+
+    try {
+      const result = await llm.structuredCall({
+        model: 'gemini',
+        systemPrompt,
+        messages: [{ role: 'user', content: userPrompt }],
+        schema: ThemeGroupingSchema,
+        temperature: 0.3,
+      });
+
+      console.log('[API /knowledge/themes] Generated', result.themes.length, 'themes');
+
+      return NextResponse.json({
+        success: true,
+        themes: result.themes,
+      });
+    } catch (aiError) {
+      console.error('[API /knowledge/themes] AI grouping failed:', aiError);
+      // Fallback: create a single "Ungrouped" theme with all insights
+      return NextResponse.json({
+        success: true,
+        themes: [{
+          theme: 'All Insights',
+          description: 'Ungrouped insights',
+          insightIds: insights.map((i: any) => i.id),
+        }],
+      });
+    }
+  } catch (error) {
+    console.error('[API /knowledge/themes] Error:', error);
+    return NextResponse.json(
+      { 
+        error: 'Failed to group insights into themes',
+        details: error instanceof Error ? error.message : String(error)
+      },
+      { status: 500 }
+    );
+  }
+}
+