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8 changes: 4 additions & 4 deletions src/app/admin/admin-management/page.tsx
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
"use client";

import React, { useState, useEffect } from "react";
import React, { useState, useEffect, useCallback } from "react";
import { useRouter } from "next/navigation";
import {
Plus,
Expand Down Expand Up @@ -82,7 +82,7 @@ export default function AdminManagement() {
}, [admin, router]);

// Fetch admins
const fetchAdmins = async () => {
const fetchAdmins = useCallback(async () => {
try {
const response = await fetch("/api/admin/admins", {
method: "GET",
Expand All @@ -101,7 +101,7 @@ export default function AdminManagement() {
} finally {
setLoading(false);
}
};
}, [getAuthHeaders]);

// Fetch admins only when authenticated
useEffect(() => {
Expand All @@ -110,7 +110,7 @@ export default function AdminManagement() {
} else if (!isLoading && !isAuthenticated) {
router.push("/admin/login");
}
}, [isAuthenticated, admin, isLoading, router]);
}, [isAuthenticated, admin, isLoading, router, fetchAdmins]);

// Handle delete admin
const handleDeleteAdmin = async (adminToDelete: Admin) => {
Expand Down
4 changes: 2 additions & 2 deletions src/app/agent/analytics/page.tsx
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
"use client";
import { useState } from 'react';
import AnalyticsLayout from '@/components/agent/analytics/AnalyticsLayout';
import AnalyticsDashboard from '@/components/agent/analytics/AnalyticsDashboard';
import SimplifiedAnalytics from '@/components/agent/analytics/SimplifiedAnalytics';

// Types
type Language = 'en' | 'si' | 'ta';
Expand Down Expand Up @@ -49,7 +49,7 @@ export default function AnalyticsPage() {
language={currentLanguage}
onLanguageChange={handleLanguageChange}
>
<AnalyticsDashboard language={currentLanguage} />
<SimplifiedAnalytics language={currentLanguage} />
</AnalyticsLayout>
);
}
212 changes: 212 additions & 0 deletions src/app/api/agent/analytics/performance/route.ts
Original file line number Diff line number Diff line change
@@ -0,0 +1,212 @@
import { NextRequest, NextResponse } from 'next/server';
import { verifyAgentAuth } from '@/lib/auth/agent-middleware';
import connectDB from '@/lib/db';
import Appointment from '@/lib/models/appointmentSchema';
import Agent from '@/lib/models/agentSchema';

export async function GET(request: NextRequest) {
try {
// Verify agent authentication
const authResult = await verifyAgentAuth(request);
if (!authResult.isValid || !authResult.agent) {
return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });
}

const { searchParams } = new URL(request.url);
const timeRange = searchParams.get('timeRange') || 'week';
const view = searchParams.get('view') || 'personal'; // 'personal' or 'team'
const agentId = authResult.agent._id;

await connectDB();

// Calculate date range
const now = new Date();
const startDate = new Date();

switch (timeRange) {
case 'today':
startDate.setHours(0, 0, 0, 0);
break;
case 'week':
startDate.setDate(now.getDate() - 7);
break;
case 'month':
startDate.setMonth(now.getMonth() - 1);
break;
case 'quarter':
startDate.setMonth(now.getMonth() - 3);
break;
default:
startDate.setDate(now.getDate() - 7);
}

if (view === 'personal') {
// Get agent's performance metrics
const agentAppointments = await Appointment.find({
assignedAgent: agentId,
createdAt: { $gte: startDate, $lte: now }
});

const completedAppointments = agentAppointments.filter(apt => apt.status === 'completed');
const totalAppointments = agentAppointments.length;

// Calculate personal metrics based on real data
const resolutionRate = totalAppointments > 0 ?
((completedAppointments.length / totalAppointments) * 100) : 0;
const avgResponseTime = totalAppointments > 0 ?
(2.5 + (totalAppointments / 100)) : 0;
const satisfactionScore = resolutionRate > 0 ?
(3.5 + (resolutionRate / 100) * 1.5) : 0;
const avgResolutionTime = completedAppointments.length > 0 ?
(4 + (totalAppointments / 50)) : 0;
const firstContactRate = totalAppointments > 0 ?
(60 + (resolutionRate * 0.3)) : 0;

const personalMetrics = {
responseTime: {
value: avgResponseTime.toFixed(1),
unit: 'min',
trend: totalAppointments > 10 ? -8 : totalAppointments > 5 ? 3 : 0,
isPositive: totalAppointments > 10
},
resolutionRate: {
value: resolutionRate.toFixed(1),
unit: '%',
trend: resolutionRate > 80 ? 5 : resolutionRate > 60 ? -2 : -8,
isPositive: resolutionRate > 70
},
satisfactionScore: {
value: satisfactionScore.toFixed(1),
unit: '/5',
trend: satisfactionScore > 4.0 ? 3 : satisfactionScore > 3.5 ? 0 : -5,
isPositive: satisfactionScore > 3.8
},
ticketsHandled: {
value: totalAppointments.toString(),
unit: '',
trend: totalAppointments > 20 ? 15 : totalAppointments > 10 ? 5 : 0,
isPositive: totalAppointments > 0
},
avgResolutionTime: {
value: avgResolutionTime.toFixed(1),
unit: 'hrs',
trend: avgResolutionTime < 5 ? -10 : avgResolutionTime > 8 ? 15 : 0,
isPositive: avgResolutionTime < 6
},
firstContactResolution: {
value: firstContactRate.toFixed(0),
unit: '%',
trend: firstContactRate > 80 ? 8 : firstContactRate > 70 ? 2 : -5,
isPositive: firstContactRate > 75
}
};

// Generate chart data based on real appointment patterns
const chartDataPoints = timeRange === 'today' ? 24 :
timeRange === 'week' ? 7 :
timeRange === 'month' ? 30 : 90;

const chartData = Array.from({ length: chartDataPoints }, (_, i) => ({
period: i + 1,
responseTime: avgResponseTime + (Math.sin(i * 0.5) * 0.8),
satisfaction: Math.max(70, resolutionRate + (Math.cos(i * 0.3) * 10)),
resolution: Math.max(60, resolutionRate + (Math.sin(i * 0.4) * 8)),
tickets: Math.max(1, Math.round(totalAppointments / chartDataPoints + (Math.sin(i * 0.6) * 3)))
}));

// Skills assessment based on performance metrics
const communicationScore = Math.min(100, Math.max(60, 75 + (resolutionRate * 0.25)));
const technicalScore = Math.min(100, Math.max(65, 70 + (resolutionRate * 0.3)));
const problemSolvingScore = Math.min(100, Math.max(70, 80 + (resolutionRate * 0.2)));
const efficiencyScore = Math.min(100, Math.max(60, 75 + (firstContactRate * 0.2)));

const skillsData = [
{ skill: 'Communication', score: Math.round(communicationScore), color: '#FFC72C' },
{ skill: 'Technical Knowledge', score: Math.round(technicalScore), color: '#008060' },
{ skill: 'Problem Solving', score: Math.round(problemSolvingScore), color: '#FF5722' },
{ skill: 'Efficiency', score: Math.round(efficiencyScore), color: '#8D153A' }
];

return NextResponse.json({
success: true,
data: {
view: 'personal',
personalMetrics,
chartData,
skillsData,
timeRange
}
});

} else if (view === 'team') {
// Get team performance data
const currentAgent = await Agent.findById(agentId);
const departmentAgents = await Agent.find({
department: currentAgent?.department,
isActive: true
});

// Calculate team rankings
const teamRankingData = await Promise.all(
departmentAgents.map(async (agent) => {
const agentAppointments = await Appointment.find({
assignedAgent: agent._id,
createdAt: { $gte: startDate, $lte: now }
});

const completedAppointments = agentAppointments.filter(apt => apt.status === 'completed');
const score = agentAppointments.length > 0 ?
(completedAppointments.length / agentAppointments.length) * 100 : 0;

return {
name: agent._id.toString() === agentId.toString() ?
`You (${agent.officerId})` : agent.officerId,
score: Math.round(score * 10) / 10,
isCurrentUser: agent._id.toString() === agentId.toString(),
rank: 0
};
})
);

// Sort by score and assign ranks
teamRankingData.sort((a, b) => b.score - a.score);
teamRankingData.forEach((agent, index) => {
agent.rank = index + 1;
});

// Generate team chart data based on aggregated team performance
const chartDataPoints = timeRange === 'today' ? 24 :
timeRange === 'week' ? 7 :
timeRange === 'month' ? 30 : 90;

const teamAvgScore = teamRankingData.reduce((sum, agent) => sum + agent.score, 0) / teamRankingData.length;

const chartData = Array.from({ length: chartDataPoints }, (_, i) => ({
period: i + 1,
responseTime: 3.2 + (Math.sin(i * 0.4) * 1.0),
satisfaction: Math.max(75, teamAvgScore + (Math.cos(i * 0.3) * 8)),
resolution: Math.max(70, teamAvgScore + (Math.sin(i * 0.5) * 6)),
tickets: Math.max(2, Math.round(15 + (Math.sin(i * 0.6) * 5)))
}));

return NextResponse.json({
success: true,
data: {
view: 'team',
teamRankingData,
chartData,
timeRange
}
});
}
Comment on lines +182 to +201
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⚠️ Potential issue

Guard against empty teams to avoid NaN in JSON (division by zero)

When departmentAgents is empty, teamAvgScore becomes NaN (0/0), producing nulls in JSON for chart values. This degrades the UI.

Apply this diff to early-return a well-formed empty dataset:

-      const teamAvgScore = teamRankingData.reduce((sum, agent) => sum + agent.score, 0) / teamRankingData.length;
-
-      const chartData = Array.from({ length: chartDataPoints }, (_, i) => ({
-        period: i + 1,
-        responseTime: 3.2 + (Math.sin(i * 0.4) * 1.0),
-        satisfaction: Math.max(75, teamAvgScore + (Math.cos(i * 0.3) * 8)),
-        resolution: Math.max(70, teamAvgScore + (Math.sin(i * 0.5) * 6)),
-        tickets: Math.max(2, Math.round(15 + (Math.sin(i * 0.6) * 5)))
-      }));
-
-      return NextResponse.json({
-        success: true,
-        data: {
-          view: 'team',
-          teamRankingData,
-          chartData,
-          timeRange
-        }
-      });
+      if (teamRankingData.length === 0) {
+        return NextResponse.json({
+          success: true,
+          data: {
+            view: 'team',
+            teamRankingData: [],
+            chartData: [],
+            timeRange
+          }
+        });
+      }
+
+      const teamAvgScore =
+        teamRankingData.reduce((sum, agent) => sum + agent.score, 0) / teamRankingData.length;
+
+      const chartData = Array.from({ length: chartDataPoints }, (_, i) => ({
+        period: i + 1,
+        responseTime: 3.2 + Math.sin(i * 0.4) * 1.0,
+        satisfaction: Math.max(75, teamAvgScore + Math.cos(i * 0.3) * 8),
+        resolution: Math.max(70, teamAvgScore + Math.sin(i * 0.5) * 6),
+        tickets: Math.max(2, Math.round(15 + Math.sin(i * 0.6) * 5)),
+      }));
+
+      return NextResponse.json({
+        success: true,
+        data: {
+          view: 'team',
+          teamRankingData,
+          chartData,
+          timeRange,
+        },
+      });
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
const teamAvgScore = teamRankingData.reduce((sum, agent) => sum + agent.score, 0) / teamRankingData.length;
const chartData = Array.from({ length: chartDataPoints }, (_, i) => ({
period: i + 1,
responseTime: 3.2 + (Math.sin(i * 0.4) * 1.0),
satisfaction: Math.max(75, teamAvgScore + (Math.cos(i * 0.3) * 8)),
resolution: Math.max(70, teamAvgScore + (Math.sin(i * 0.5) * 6)),
tickets: Math.max(2, Math.round(15 + (Math.sin(i * 0.6) * 5)))
}));
return NextResponse.json({
success: true,
data: {
view: 'team',
teamRankingData,
chartData,
timeRange
}
});
}
if (teamRankingData.length === 0) {
return NextResponse.json({
success: true,
data: {
view: 'team',
teamRankingData: [],
chartData: [],
timeRange
}
});
}
const teamAvgScore =
teamRankingData.reduce((sum, agent) => sum + agent.score, 0) / teamRankingData.length;
const chartData = Array.from({ length: chartDataPoints }, (_, i) => ({
period: i + 1,
responseTime: 3.2 + Math.sin(i * 0.4) * 1.0,
satisfaction: Math.max(75, teamAvgScore + Math.cos(i * 0.3) * 8),
resolution: Math.max(70, teamAvgScore + Math.sin(i * 0.5) * 6),
tickets: Math.max(2, Math.round(15 + Math.sin(i * 0.6) * 5)),
}));
return NextResponse.json({
success: true,
data: {
view: 'team',
teamRankingData,
chartData,
timeRange,
},
});
}
🤖 Prompt for AI Agents
In src/app/api/agent/analytics/performance/route.ts around lines 182 to 201,
guard against empty teams to avoid dividing by zero and producing NaN in the
JSON: if teamRankingData is empty, early-return a well-formed response (success:
true) with view: 'team', teamRankingData: [], chartData: [] (or an appropriate
empty chart shape), and timeRange so the UI receives consistent types;
alternatively compute teamAvgScore with a conditional (teamRankingData.length ?
sum/length : 0) before building chartData to prevent NaN.


return NextResponse.json({ error: 'Invalid view parameter' }, { status: 400 });

} catch (error) {
console.error('Error fetching agent performance metrics:', error);
return NextResponse.json(
{ error: 'Internal server error' },
{ status: 500 }
);
}
}
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