Files
data-classify-nextjs-sharp-…/src/app/api/get-observations/route.ts
2026-02-24 22:49:47 +05:30

74 lines
2.1 KiB
TypeScript

import { NextRequest, NextResponse } from 'next/server';
export async function GET(request: NextRequest) {
try {
const { searchParams } = new URL(request.url);
const page = parseInt(searchParams.get('page') || '1');
const limit = parseInt(searchParams.get('limit') || '12');
const framework = searchParams.get('framework');
const learningArea = searchParams.get('learningArea');
const subLearningArea = searchParams.get('subLearningArea');
const { MongoClient } = require('mongodb');
const uri = process.env.MONGODB_URI || 'mongodb://localhost/beanstalk';
const client = new MongoClient(uri);
await client.connect();
const db = client.db('beanstalk');
const collection = db.collection('observations');
// Build filter query
let filter: any = {};
if (framework) {
filter['indicators.developmentAreas.framework'] = framework.trim();
}
if (learningArea) {
filter['indicators.developmentAreas.learningArea'] = learningArea.trim();
}
if (subLearningArea) {
filter['indicators.developmentAreas.subLearningArea'] = subLearningArea.trim();
}
// Get total count for pagination
const totalCount = await collection.countDocuments(filter);
// Calculate skip value for pagination
const skip = (page - 1) * limit;
// Fetch observations with pagination and sort by createdAt (newest first)
const documents = await collection
.find(filter)
.sort({ createdAt: -1 })
.skip(skip)
.limit(limit)
.toArray();
await client.close();
return NextResponse.json({
success: true,
data: documents,
pagination: {
currentPage: page,
totalPages: Math.ceil(totalCount / limit),
totalCount: totalCount,
limit: limit,
hasNextPage: page < Math.ceil(totalCount / limit),
hasPrevPage: page > 1
}
});
} catch (error: any) {
console.error('Error fetching observations:', error);
return NextResponse.json(
{
error: 'Failed to fetch observations',
message: error.message
},
{ status: 500 }
);
}
}