57 lines
1.8 KiB
TypeScript
57 lines
1.8 KiB
TypeScript
import { NextRequest, NextResponse } from 'next/server';
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import { adminDb } from '@/lib/firebase/admin';
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export async function GET(request: NextRequest) {
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try {
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const projectId = request.nextUrl.searchParams.get('projectId');
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const minScore = parseInt(request.nextUrl.searchParams.get('minScore') || '0');
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if (!projectId) {
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return NextResponse.json({ error: 'Missing projectId' }, { status: 400 });
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}
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// Get all conversations
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const conversationsSnapshot = await adminDb
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.collection('projects')
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.doc(projectId)
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.collection('cursorConversations')
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.get();
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const conversations = conversationsSnapshot.docs
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.map(doc => {
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const data = doc.data();
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return {
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name: data.name,
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relevanceScore: data.relevanceScore || 0,
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createdAt: data.createdAt,
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workspacePath: data.workspacePath
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};
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})
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.filter(c => c.relevanceScore >= minScore)
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.sort((a, b) => b.relevanceScore - a.relevanceScore);
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// Group by score
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const scoreGroups: Record<number, number> = {};
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conversationsSnapshot.docs.forEach(doc => {
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const score = doc.data().relevanceScore || 0;
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scoreGroups[score] = (scoreGroups[score] || 0) + 1;
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});
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return NextResponse.json({
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totalConversations: conversationsSnapshot.size,
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filteredConversations: conversations.length,
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minScore,
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scoreDistribution: scoreGroups,
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conversations: conversations.slice(0, 50) // First 50
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});
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} catch (error) {
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console.error('Error fetching relevant conversations:', error);
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return NextResponse.json(
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{ error: 'Failed to fetch conversations', details: error instanceof Error ? error.message : String(error) },
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{ status: 500 }
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);
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}
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}
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