feat: implement hotspot calculation system with scheduled jobs

- Add hotspot calculation methods to analytics service
- Implement MySQL spatial queries for clustering (5+ reports within 500m)
- Calculate severity scores based on report count and frequency
- Create GET /api/analytics/hotspots endpoint
- Create GET /api/analytics/hotspots/:id endpoint for details
- Create POST /api/analytics/hotspots/calculate for manual trigger
- Implement scheduled job with node-cron (runs every 5 minutes)
- Add comprehensive test scripts for hotspot functionality
- Create detailed implementation documentation

Requirements addressed:
- 3.2: Identify areas with 5+ reports within 500m radius
- 3.3: Rank hotspots by severity score
- 3.4: Update calculations within 5 minutes
- 3.5: Provide data for map visualization with severity indicators
This commit is contained in:
2025-11-17 00:19:35 +00:00
parent d91a13da60
commit 052ba46bdc
9 changed files with 793 additions and 1 deletions

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# Hotspot Calculation System Implementation
## Overview
The hotspot calculation system identifies and tracks areas with high concentrations of litter reports. It automatically calculates hotspots every 5 minutes using MySQL spatial queries and stores the results for efficient retrieval.
## Requirements Addressed
- **Requirement 3.2**: Identify areas with at least 5 reports within a 500-meter radius over the past 30 days
- **Requirement 3.3**: Rank Litter Hotspots by severity score calculated from report quantity and frequency
- **Requirement 3.4**: Update Litter Hotspot calculations within 5 minutes of new report submissions
- **Requirement 3.5**: Display Litter Hotspot boundaries on the Map Interface with color-coded severity indicators
## Architecture
### Components
1. **Spatial Utilities** (`server/src/utils/spatial.ts`)
- `calculateHotspots()`: Performs MySQL spatial clustering using ST_GeoHash
- `updateHotspotsTable()`: Clears old hotspots and inserts new calculations
2. **Analytics Service** (`server/src/services/analyticsService.ts`)
- `getHotspots()`: Retrieves current hotspots from database
- `calculateAndUpdateHotspots()`: Triggers hotspot calculation
- `getHotspotDetails(id)`: Gets detailed information about a specific hotspot
3. **Analytics Controller** (`server/src/controllers/analyticsController.ts`)
- `getHotspots()`: GET endpoint handler
- `getHotspotDetails()`: GET endpoint handler for specific hotspot
- `calculateHotspots()`: POST endpoint handler for manual calculation
4. **Scheduled Jobs** (`server/src/services/scheduledJobs.ts`)
- Runs hotspot calculation every 5 minutes using node-cron
- Initialized on server startup
## API Endpoints
### GET /api/analytics/hotspots
Retrieves all current hotspots (calculated within the last hour).
**Response:**
```json
{
"success": true,
"data": [
{
"id": "uuid",
"latitude": 53.3498,
"longitude": -6.2603,
"radius": 500,
"reportCount": 12,
"severityScore": 28.5,
"lastReportDate": "2025-11-17T00:00:00.000Z",
"calculatedAt": "2025-11-17T00:15:00.000Z"
}
]
}
```
### GET /api/analytics/hotspots/:id
Retrieves detailed information about a specific hotspot, including all reports within its radius.
**Response:**
```json
{
"success": true,
"data": {
"hotspot": {
"id": "uuid",
"latitude": 53.3498,
"longitude": -6.2603,
"radius": 500,
"reportCount": 12,
"severityScore": 28.5,
"lastReportDate": "2025-11-17T00:00:00.000Z",
"calculatedAt": "2025-11-17T00:15:00.000Z"
},
"reports": [
{
"id": "uuid",
"latitude": 53.3500,
"longitude": -6.2600,
"litterType": "plastic",
"quantity": "significant",
"createdAt": "2025-11-16T12:00:00.000Z",
"distance": 45.2
}
]
}
}
```
### POST /api/analytics/hotspots/calculate
Manually triggers hotspot calculation (useful for testing or immediate updates).
**Response:**
```json
{
"success": true,
"data": {
"success": true,
"hotspotsCalculated": 3,
"timestamp": "2025-11-17T00:15:00.000Z"
}
}
```
## Calculation Algorithm
### Step 1: Spatial Clustering
The system uses MySQL's `ST_GeoHash()` function to group nearby reports:
```sql
SELECT
AVG(latitude) as center_lat,
AVG(longitude) as center_lng,
COUNT(*) as report_count,
AVG(severity_value) as avg_severity,
MAX(created_at) as last_report_date
FROM reports
WHERE created_at >= DATE_SUB(NOW(), INTERVAL 30 DAY)
GROUP BY ST_GeoHash(location, 7)
HAVING COUNT(*) >= 5
```
### Step 2: Severity Score Calculation
Severity score is calculated as:
```
severity_score = report_count × avg_severity
```
Where severity values are:
- minimal: 1
- moderate: 2
- significant: 3
- severe: 4
### Step 3: Storage
Hotspots are stored in the `hotspots` table with:
- Geographic center point (POINT spatial type)
- 500m radius
- Report count
- Severity score
- Last report date
- Calculation timestamp
### Step 4: Cleanup
Old hotspots (calculated more than 1 hour ago) are automatically removed before new calculations.
## Scheduled Job
The hotspot calculation runs automatically every 5 minutes:
```typescript
cron.schedule('*/5 * * * *', async () => {
await analyticsService.calculateAndUpdateHotspots();
});
```
This ensures hotspots are updated within 5 minutes of new report submissions (Requirement 3.4).
## Database Schema
```sql
CREATE TABLE hotspots (
id VARCHAR(36) PRIMARY KEY DEFAULT (UUID()),
location POINT NOT NULL SRID 4326,
latitude DECIMAL(10, 8) NOT NULL,
longitude DECIMAL(11, 8) NOT NULL,
radius DECIMAL(10, 2) NOT NULL COMMENT 'Radius in meters',
report_count INT NOT NULL,
severity_score DECIMAL(5, 2) NOT NULL,
last_report_date TIMESTAMP NOT NULL,
calculated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
SPATIAL INDEX idx_location (location),
INDEX idx_severity_score (severity_score)
) ENGINE=InnoDB;
```
## Testing
### Unit Tests
Run the hotspot calculation test:
```bash
cd server
npx tsx src/scripts/testHotspots.ts
```
### API Endpoint Tests
1. Start the server:
```bash
cd server
npm run dev
```
2. Run endpoint tests:
```bash
npx tsx src/scripts/testHotspotEndpoints.ts
```
### Manual Testing
```bash
# Get all hotspots
curl http://localhost:3005/api/analytics/hotspots
# Trigger manual calculation
curl -X POST http://localhost:3005/api/analytics/hotspots/calculate
# Get specific hotspot details
curl http://localhost:3005/api/analytics/hotspots/{hotspot-id}
```
## Frontend Integration
To display hotspots on the map:
```typescript
import { useQuery } from '@tanstack/react-query';
function MapView() {
const { data: hotspots } = useQuery({
queryKey: ['hotspots'],
queryFn: async () => {
const response = await fetch('/api/analytics/hotspots');
return response.json();
},
refetchInterval: 5 * 60 * 1000, // Refetch every 5 minutes
});
// Render hotspots as circles on the map
hotspots?.data.forEach(hotspot => {
L.circle([hotspot.latitude, hotspot.longitude], {
radius: hotspot.radius,
color: getSeverityColor(hotspot.severityScore),
fillOpacity: 0.3,
}).addTo(map);
});
}
function getSeverityColor(score: number): string {
if (score >= 50) return '#dc2626'; // red - critical
if (score >= 30) return '#ea580c'; // orange - high
if (score >= 15) return '#f59e0b'; // yellow - medium
return '#84cc16'; // green - low
}
```
## Performance Considerations
1. **Spatial Indexes**: The `hotspots` table uses spatial indexes for efficient location queries
2. **Caching**: Hotspots are cached for 1 hour to reduce calculation frequency
3. **Scheduled Updates**: 5-minute intervals balance freshness with server load
4. **Query Optimization**: Uses MySQL spatial functions for efficient clustering
## Monitoring
The scheduled job logs its activity:
```
[Scheduled Jobs] Initializing scheduled jobs...
[Scheduled Jobs] ✓ Hotspot calculation job scheduled (every 5 minutes)
[Scheduled Jobs] Running hotspot calculation...
[Hotspot Calculation] Starting hotspot calculation...
[Hotspot Calculation] Successfully calculated 3 hotspots
[Scheduled Jobs] Hotspot calculation completed: 3 hotspots calculated
```
## Future Enhancements
1. **Historical Tracking**: Store hotspot history for trend analysis
2. **Notification System**: Alert users when new hotspots appear in their areas of interest
3. **Predictive Analysis**: Use ML to predict future hotspot locations
4. **Custom Thresholds**: Allow admins to configure minimum report count and radius
5. **Hotspot Decay**: Reduce severity scores for hotspots with no recent reports
## Troubleshooting
### No Hotspots Calculated
- Verify there are at least 5 reports within 500m in the last 30 days
- Check that reports have valid spatial data
- Review logs for calculation errors
### Scheduled Job Not Running
- Verify node-cron is installed: `npm list node-cron`
- Check server logs for initialization messages
- Ensure server is running continuously
### Spatial Query Errors
- Verify MySQL version is 8.0+ with spatial support
- Check that POINT columns use SRID 4326
- Ensure spatial indexes are created
## Related Files
- `server/src/services/analyticsService.ts` - Hotspot business logic
- `server/src/controllers/analyticsController.ts` - API endpoints
- `server/src/routes/analyticsRoutes.ts` - Route definitions
- `server/src/services/scheduledJobs.ts` - Cron job configuration
- `server/src/utils/spatial.ts` - Spatial utility functions
- `server/prisma/schema.prisma` - Database schema

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@@ -196,6 +196,93 @@ export class AnalyticsController {
});
}
}
/**
* GET /api/analytics/hotspots
* Get litter hotspot data
* Requirement 3.2, 3.3, 3.5: Display hotspots with severity indicators
*/
async getHotspots(req: Request, res: Response) {
try {
const hotspots = await analyticsService.getHotspots();
res.json({
success: true,
data: hotspots,
});
} catch (error: any) {
console.error('Error fetching hotspots:', error);
res.status(500).json({
error: {
code: 'INTERNAL_SERVER_ERROR',
message: error.message || 'Failed to fetch hotspots',
timestamp: new Date().toISOString(),
},
});
}
}
/**
* GET /api/analytics/hotspots/:id
* Get detailed information about a specific hotspot
*/
async getHotspotDetails(req: Request, res: Response) {
try {
const { id } = req.params;
const hotspotDetails = await analyticsService.getHotspotDetails(id);
res.json({
success: true,
data: hotspotDetails,
});
} catch (error: any) {
console.error('Error fetching hotspot details:', error);
if (error.message === 'Hotspot not found') {
return res.status(404).json({
error: {
code: 'RESOURCE_NOT_FOUND',
message: 'Hotspot not found',
timestamp: new Date().toISOString(),
},
});
}
res.status(500).json({
error: {
code: 'INTERNAL_SERVER_ERROR',
message: error.message || 'Failed to fetch hotspot details',
timestamp: new Date().toISOString(),
},
});
}
}
/**
* POST /api/analytics/hotspots/calculate
* Manually trigger hotspot calculation
* Requirement 3.4: Update Litter Hotspot calculations
*/
async calculateHotspots(req: Request, res: Response) {
try {
const result = await analyticsService.calculateAndUpdateHotspots();
res.json({
success: true,
data: result,
});
} catch (error: any) {
console.error('Error calculating hotspots:', error);
res.status(500).json({
error: {
code: 'INTERNAL_SERVER_ERROR',
message: error.message || 'Failed to calculate hotspots',
timestamp: new Date().toISOString(),
},
});
}
}
}
export const analyticsController = new AnalyticsController();

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@@ -8,6 +8,7 @@ import eventRoutes from './routes/eventRoutes';
import userRoutes from './routes/userRoutes';
import externalDataRoutes from './routes/externalDataRoutes';
import analyticsRoutes from './routes/analyticsRoutes';
import { initializeScheduledJobs } from './services/scheduledJobs';
// Load environment variables
dotenv.config();
@@ -77,6 +78,10 @@ app.listen(PORT, () => {
console.log(`🚀 Server running on port ${PORT}`);
console.log(`📍 Environment: ${process.env.NODE_ENV || 'development'}`);
console.log(`🔗 API: http://localhost:${PORT}/api`);
// Initialize scheduled jobs
console.log('⏰ Initializing scheduled jobs...');
initializeScheduledJobs();
});
export default app;

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@@ -10,4 +10,9 @@ router.get('/comparison', analyticsController.getComparison.bind(analyticsContro
router.get('/export', analyticsController.exportCSV.bind(analyticsController));
router.get('/aggregated', analyticsController.getAggregatedData.bind(analyticsController));
// Hotspot endpoints
router.get('/hotspots', analyticsController.getHotspots.bind(analyticsController));
router.get('/hotspots/:id', analyticsController.getHotspotDetails.bind(analyticsController));
router.post('/hotspots/calculate', analyticsController.calculateHotspots.bind(analyticsController));
export default router;

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/**
* Test script for hotspot API endpoints
* Tests GET /api/analytics/hotspots and POST /api/analytics/hotspots/calculate
*/
import axios from 'axios';
const API_BASE_URL = process.env.API_BASE_URL || 'http://localhost:3005/api';
async function testHotspotEndpoints() {
console.log('=== Testing Hotspot API Endpoints ===\n');
try {
// Test 1: Manually trigger hotspot calculation
console.log('Test 1: POST /api/analytics/hotspots/calculate');
console.log('----------------------------------------');
try {
const calculateResponse = await axios.post(`${API_BASE_URL}/analytics/hotspots/calculate`);
console.log('✓ Status:', calculateResponse.status);
console.log('✓ Response:', JSON.stringify(calculateResponse.data, null, 2));
} catch (error: any) {
if (error.response) {
console.log('✓ Status:', error.response.status);
console.log('✓ Response:', JSON.stringify(error.response.data, null, 2));
} else {
console.error('❌ Error:', error.message);
}
}
console.log();
// Test 2: Get all hotspots
console.log('Test 2: GET /api/analytics/hotspots');
console.log('----------------------------------------');
try {
const hotspotsResponse = await axios.get(`${API_BASE_URL}/analytics/hotspots`);
console.log('✓ Status:', hotspotsResponse.status);
console.log('✓ Number of hotspots:', hotspotsResponse.data.data.length);
if (hotspotsResponse.data.data.length > 0) {
console.log('✓ Sample hotspot:', JSON.stringify(hotspotsResponse.data.data[0], null, 2));
} else {
console.log('✓ No hotspots found (expected if < 5 reports within 500m in last 30 days)');
}
} catch (error: any) {
if (error.response) {
console.log('❌ Status:', error.response.status);
console.log('❌ Response:', JSON.stringify(error.response.data, null, 2));
} else {
console.error('❌ Error:', error.message);
}
}
console.log();
// Test 3: Get hotspot details (if any exist)
console.log('Test 3: GET /api/analytics/hotspots/:id');
console.log('----------------------------------------');
try {
const hotspotsResponse = await axios.get(`${API_BASE_URL}/analytics/hotspots`);
if (hotspotsResponse.data.data.length > 0) {
const firstHotspotId = hotspotsResponse.data.data[0].id;
const detailsResponse = await axios.get(`${API_BASE_URL}/analytics/hotspots/${firstHotspotId}`);
console.log('✓ Status:', detailsResponse.status);
console.log('✓ Hotspot details:', JSON.stringify(detailsResponse.data.data.hotspot, null, 2));
console.log('✓ Number of reports in hotspot:', detailsResponse.data.data.reports.length);
} else {
console.log('⊘ Skipping test - no hotspots available');
}
} catch (error: any) {
if (error.response) {
console.log('❌ Status:', error.response.status);
console.log('❌ Response:', JSON.stringify(error.response.data, null, 2));
} else {
console.error('❌ Error:', error.message);
}
}
console.log();
// Test 4: Test error handling - invalid hotspot ID
console.log('Test 4: GET /api/analytics/hotspots/:id (invalid ID)');
console.log('----------------------------------------');
try {
await axios.get(`${API_BASE_URL}/analytics/hotspots/invalid-id-12345`);
console.log('❌ Should have returned 404 error');
} catch (error: any) {
if (error.response && error.response.status === 404) {
console.log('✓ Status:', error.response.status);
console.log('✓ Correctly returned 404 for invalid ID');
console.log('✓ Error response:', JSON.stringify(error.response.data, null, 2));
} else {
console.error('❌ Unexpected error:', error.message);
}
}
console.log();
console.log('=== All Endpoint Tests Completed ===');
} catch (error: any) {
console.error('❌ Fatal error during testing:', error.message);
}
}
// Run tests
console.log('Note: Make sure the server is running on port 3005 before running this test.\n');
testHotspotEndpoints();

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@@ -0,0 +1,98 @@
/**
* Test script for hotspot calculation system
* Tests the hotspot calculation, storage, and retrieval functionality
*/
import { analyticsService } from '../services/analyticsService';
import prisma from '../config/database';
async function testHotspots() {
console.log('=== Testing Hotspot Calculation System ===\n');
try {
// Test 1: Calculate and update hotspots
console.log('Test 1: Calculate and update hotspots');
console.log('----------------------------------------');
const calculateResult = await analyticsService.calculateAndUpdateHotspots();
console.log('✓ Hotspot calculation result:', calculateResult);
console.log();
// Test 2: Retrieve hotspots
console.log('Test 2: Retrieve hotspots from database');
console.log('----------------------------------------');
const hotspots = await analyticsService.getHotspots();
console.log(`✓ Found ${hotspots.length} hotspots`);
if (hotspots.length > 0) {
console.log('\nTop 3 hotspots by severity:');
hotspots.slice(0, 3).forEach((hotspot, index) => {
console.log(` ${index + 1}. Hotspot at (${hotspot.latitude}, ${hotspot.longitude})`);
console.log(` - Report Count: ${hotspot.reportCount}`);
console.log(` - Severity Score: ${hotspot.severityScore}`);
console.log(` - Radius: ${hotspot.radius}m`);
console.log(` - Last Report: ${hotspot.lastReportDate}`);
});
} else {
console.log(' No hotspots found. This is expected if there are fewer than 5 reports within 500m in the last 30 days.');
}
console.log();
// Test 3: Get hotspot details (if any exist)
if (hotspots.length > 0) {
console.log('Test 3: Get detailed hotspot information');
console.log('----------------------------------------');
const firstHotspot = hotspots[0];
const details = await analyticsService.getHotspotDetails(firstHotspot.id);
console.log(`✓ Hotspot details for ${firstHotspot.id}:`);
console.log(` - Location: (${details.hotspot.latitude}, ${details.hotspot.longitude})`);
console.log(` - Reports in area: ${details.reports.length}`);
if (details.reports.length > 0) {
console.log('\n Recent reports in this hotspot:');
details.reports.slice(0, 3).forEach((report, index) => {
console.log(` ${index + 1}. ${report.litterType} (${report.quantity}) - ${report.distance.toFixed(0)}m away`);
});
}
console.log();
}
// Test 4: Check report distribution for hotspot eligibility
console.log('Test 4: Check report distribution');
console.log('----------------------------------------');
const recentReports = await prisma.report.count({
where: {
createdAt: {
gte: new Date(Date.now() - 30 * 24 * 60 * 60 * 1000), // Last 30 days
},
},
});
console.log(`✓ Total reports in last 30 days: ${recentReports}`);
console.log(` Note: Hotspots require 5+ reports within 500m radius`);
console.log();
// Test 5: Verify hotspot table structure
console.log('Test 5: Verify hotspot table structure');
console.log('----------------------------------------');
const allHotspots = await prisma.hotspot.findMany({
take: 1,
});
if (allHotspots.length > 0) {
console.log('✓ Hotspot table structure verified');
console.log(' Sample hotspot fields:', Object.keys(allHotspots[0]));
} else {
console.log('✓ Hotspot table exists but is empty');
}
console.log();
console.log('=== All Tests Completed Successfully ===');
} catch (error: any) {
console.error('❌ Error during testing:', error.message);
console.error(error);
} finally {
await prisma.$disconnect();
}
}
// Run tests
testHotspots();

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@@ -1,5 +1,6 @@
import prisma from '../config/database';
import { Parser } from 'json2csv';
import { calculateHotspots, updateHotspotsTable } from '../utils/spatial';
interface DateRange {
startDate: Date;
@@ -525,6 +526,129 @@ export class AnalyticsService {
})),
};
}
/**
* Get hotspot data from the database
* Requirement 3.2: Identify areas with at least 5 reports within a 500-meter radius over the past 30 days
* Requirement 3.3: Rank Litter Hotspots by severity score calculated from report quantity and frequency
* Requirement 3.5: Display Litter Hotspot boundaries on the Map Interface with color-coded severity indicators
*/
async getHotspots() {
const hotspots = await prisma.hotspot.findMany({
where: {
calculatedAt: {
gte: new Date(Date.now() - 60 * 60 * 1000), // Last hour
},
},
orderBy: {
severityScore: 'desc',
},
});
return hotspots.map(hotspot => ({
id: hotspot.id,
latitude: Number(hotspot.latitude),
longitude: Number(hotspot.longitude),
radius: Number(hotspot.radius),
reportCount: hotspot.reportCount,
severityScore: Number(hotspot.severityScore),
lastReportDate: hotspot.lastReportDate.toISOString(),
calculatedAt: hotspot.calculatedAt?.toISOString(),
}));
}
/**
* Calculate and update hotspots
* This method performs the actual hotspot calculation and stores results
* Requirement 3.2: Identify areas with at least 5 reports within a 500-meter radius
* Requirement 3.3: Calculate severity scores based on report count and frequency
* Requirement 3.4: Update Litter Hotspot calculations within 5 minutes of new report submissions
*/
async calculateAndUpdateHotspots() {
try {
console.log('[Hotspot Calculation] Starting hotspot calculation...');
// Use the spatial utility function to update hotspots
const hotspotsCount = await updateHotspotsTable();
console.log(`[Hotspot Calculation] Successfully calculated ${hotspotsCount} hotspots`);
return {
success: true,
hotspotsCalculated: hotspotsCount,
timestamp: new Date().toISOString(),
};
} catch (error: any) {
console.error('[Hotspot Calculation] Error calculating hotspots:', error);
throw new Error(`Failed to calculate hotspots: ${error.message}`);
}
}
/**
* Get detailed hotspot information including nearby reports
* @param hotspotId - The ID of the hotspot
*/
async getHotspotDetails(hotspotId: string) {
const hotspot = await prisma.hotspot.findUnique({
where: { id: hotspotId },
});
if (!hotspot) {
throw new Error('Hotspot not found');
}
// Find reports near this hotspot
const reports = await prisma.$queryRaw<Array<{
id: string;
latitude: number;
longitude: number;
litter_type: string;
quantity: string;
created_at: Date;
distance: number;
}>>`
SELECT
id,
latitude,
longitude,
litter_type,
quantity,
created_at,
ST_Distance_Sphere(
location,
ST_GeomFromText(${`POINT(${hotspot.longitude} ${hotspot.latitude})`}, 4326)
) as distance
FROM reports
WHERE ST_Distance_Sphere(
location,
ST_GeomFromText(${`POINT(${hotspot.longitude} ${hotspot.latitude})`}, 4326)
) <= ${Number(hotspot.radius)}
AND created_at >= DATE_SUB(NOW(), INTERVAL 30 DAY)
ORDER BY created_at DESC
`;
return {
hotspot: {
id: hotspot.id,
latitude: Number(hotspot.latitude),
longitude: Number(hotspot.longitude),
radius: Number(hotspot.radius),
reportCount: hotspot.reportCount,
severityScore: Number(hotspot.severityScore),
lastReportDate: hotspot.lastReportDate.toISOString(),
calculatedAt: hotspot.calculatedAt?.toISOString(),
},
reports: reports.map(report => ({
id: report.id,
latitude: Number(report.latitude),
longitude: Number(report.longitude),
litterType: report.litter_type,
quantity: report.quantity,
createdAt: report.created_at.toISOString(),
distance: Number(report.distance),
})),
};
}
}
export const analyticsService = new AnalyticsService();

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@@ -0,0 +1,53 @@
/**
* Scheduled Jobs Service
* Manages periodic tasks using node-cron
*
* Requirement 3.4: Update Litter Hotspot calculations within 5 minutes of new report submissions
*/
import cron, { ScheduledTask } from 'node-cron';
import { analyticsService } from './analyticsService';
/**
* Initialize all scheduled jobs
*/
export function initializeScheduledJobs() {
console.log('[Scheduled Jobs] Initializing scheduled jobs...');
// Hotspot calculation job - runs every 5 minutes
// Requirement 3.4: Update hotspot calculations within 5 minutes
const hotspotJob = cron.schedule('*/5 * * * *', async () => {
try {
console.log('[Scheduled Jobs] Running hotspot calculation...');
const result = await analyticsService.calculateAndUpdateHotspots();
console.log(`[Scheduled Jobs] Hotspot calculation completed: ${result.hotspotsCalculated} hotspots calculated`);
} catch (error: any) {
console.error('[Scheduled Jobs] Error in hotspot calculation job:', error.message);
}
});
console.log('[Scheduled Jobs] ✓ Hotspot calculation job scheduled (every 5 minutes)');
// Return job instances for potential management
return {
hotspotJob,
};
}
/**
* Stop all scheduled jobs
* Useful for graceful shutdown
*/
export function stopScheduledJobs(jobs: { hotspotJob: ScheduledTask }) {
console.log('[Scheduled Jobs] Stopping all scheduled jobs...');
if (jobs.hotspotJob) {
jobs.hotspotJob.stop();
console.log('[Scheduled Jobs] ✓ Hotspot calculation job stopped');
}
}
export default {
initializeScheduledJobs,
stopScheduledJobs,
};