feat: implement analytics endpoints (task 28)

- Created analytics service with summary, trends, comparison, and aggregated data methods
- Implemented 5 analytics endpoints: summary, trends, comparison, aggregated, and CSV export
- Added time series data with day/week/month interval support
- Implemented period-over-period comparison metrics with percentage changes
- Added CSV export functionality using json2csv
- Updated frontend analytics service to unwrap API responses
- Fixed chart components to work with new data structure (reportCount, eventCount, litterCollected)
- Updated TypeScript types to match backend API structure
- All endpoints tested and verified working

Requirements satisfied: 5.1, 5.2, 5.3, 5.4, 5.5
This commit is contained in:
2025-11-17 00:13:07 +00:00
parent ea08bf4289
commit d91a13da60
16 changed files with 1051 additions and 78 deletions

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@@ -168,7 +168,7 @@
## Mobile Optimization ## Mobile Optimization
- [x] 20. Implement mobile-responsive design - [ ] 20. Implement mobile-responsive design
- Apply Tailwind responsive classes throughout - Apply Tailwind responsive classes throughout
- Optimize map controls for touch interfaces - Optimize map controls for touch interfaces
- Ensure minimum tap target sizes (44x44px) - Ensure minimum tap target sizes (44x44px)
@@ -235,7 +235,7 @@
- Add participant count tracking - Add participant count tracking
- _Requirements: 4.1, 4.2, 4.3, 4.4, 4.5_ - _Requirements: 4.1, 4.2, 4.3, 4.4, 4.5_
- [ ] 28. Implement analytics endpoints - [x] 28. Implement analytics endpoints
- Create GET /api/analytics/summary for overall statistics - Create GET /api/analytics/summary for overall statistics
- Build time series data endpoint for trends - Build time series data endpoint for trends
- Implement CSV export functionality - Implement CSV export functionality

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@@ -18,6 +18,7 @@
"express": "^4.21.1", "express": "^4.21.1",
"express-validator": "^7.2.0", "express-validator": "^7.2.0",
"helmet": "^8.0.0", "helmet": "^8.0.0",
"json2csv": "^6.0.0-alpha.2",
"multer": "^1.4.5-lts.1", "multer": "^1.4.5-lts.1",
"node-cron": "^4.2.1", "node-cron": "^4.2.1",
"redis": "^5.9.0", "redis": "^5.9.0",
@@ -26,6 +27,7 @@
"devDependencies": { "devDependencies": {
"@types/cors": "^2.8.17", "@types/cors": "^2.8.17",
"@types/express": "^5.0.0", "@types/express": "^5.0.0",
"@types/json2csv": "^5.0.7",
"@types/multer": "^1.4.12", "@types/multer": "^1.4.12",
"@types/node": "^22.9.0", "@types/node": "^22.9.0",
"@types/node-cron": "^3.0.11", "@types/node-cron": "^3.0.11",
@@ -778,6 +780,12 @@
"@redis/client": "^5.9.0" "@redis/client": "^5.9.0"
} }
}, },
"node_modules/@streamparser/json": {
"version": "0.0.6",
"resolved": "https://registry.npmjs.org/@streamparser/json/-/json-0.0.6.tgz",
"integrity": "sha512-vL9EVn/v+OhZ+Wcs6O4iKE9EUpwHUqHmCtNUMWjqp+6dr85+XPOSGTEsqYNq1Vn04uk9SWlOVmx9J48ggJVT2Q==",
"license": "MIT"
},
"node_modules/@types/body-parser": { "node_modules/@types/body-parser": {
"version": "1.19.6", "version": "1.19.6",
"resolved": "https://registry.npmjs.org/@types/body-parser/-/body-parser-1.19.6.tgz", "resolved": "https://registry.npmjs.org/@types/body-parser/-/body-parser-1.19.6.tgz",
@@ -841,6 +849,16 @@
"dev": true, "dev": true,
"license": "MIT" "license": "MIT"
}, },
"node_modules/@types/json2csv": {
"version": "5.0.7",
"resolved": "https://registry.npmjs.org/@types/json2csv/-/json2csv-5.0.7.tgz",
"integrity": "sha512-Ma25zw9G9GEBnX8b12R4EYvnFT6dBh8L3jwsN5EUFXa+fl2dqmbLDbNWN0XuQU3rSXdsbBeCYjI9uHU2PUBxhA==",
"dev": true,
"license": "MIT",
"dependencies": {
"@types/node": "*"
}
},
"node_modules/@types/mime": { "node_modules/@types/mime": {
"version": "1.3.5", "version": "1.3.5",
"resolved": "https://registry.npmjs.org/@types/mime/-/mime-1.3.5.tgz", "resolved": "https://registry.npmjs.org/@types/mime/-/mime-1.3.5.tgz",
@@ -1064,6 +1082,15 @@
"node": ">= 0.8" "node": ">= 0.8"
} }
}, },
"node_modules/commander": {
"version": "6.2.1",
"resolved": "https://registry.npmjs.org/commander/-/commander-6.2.1.tgz",
"integrity": "sha512-U7VdrJFnJgo4xjrHpTzu0yrHPGImdsmD95ZlgYSEajAn2JKzDhDTPG9kBTefmObL2w/ngeZnilk+OV9CG3d7UA==",
"license": "MIT",
"engines": {
"node": ">= 6"
}
},
"node_modules/concat-stream": { "node_modules/concat-stream": {
"version": "1.6.2", "version": "1.6.2",
"resolved": "https://registry.npmjs.org/concat-stream/-/concat-stream-1.6.2.tgz", "resolved": "https://registry.npmjs.org/concat-stream/-/concat-stream-1.6.2.tgz",
@@ -1683,12 +1710,37 @@
"node": ">=14" "node": ">=14"
} }
}, },
"node_modules/json2csv": {
"version": "6.0.0-alpha.2",
"resolved": "https://registry.npmjs.org/json2csv/-/json2csv-6.0.0-alpha.2.tgz",
"integrity": "sha512-nJ3oP6QxN8z69IT1HmrJdfVxhU1kLTBVgMfRnNZc37YEY+jZ4nU27rBGxT4vaqM/KUCavLRhntmTuBFqZLBUcA==",
"license": "MIT",
"dependencies": {
"@streamparser/json": "^0.0.6",
"commander": "^6.2.0",
"lodash.get": "^4.4.2"
},
"bin": {
"json2csv": "bin/json2csv.js"
},
"engines": {
"node": ">= 12",
"npm": ">= 6.13.0"
}
},
"node_modules/lodash": { "node_modules/lodash": {
"version": "4.17.21", "version": "4.17.21",
"resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz", "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz",
"integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==", "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==",
"license": "MIT" "license": "MIT"
}, },
"node_modules/lodash.get": {
"version": "4.4.2",
"resolved": "https://registry.npmjs.org/lodash.get/-/lodash.get-4.4.2.tgz",
"integrity": "sha512-z+Uw/vLuy6gQe8cfaFWD7p0wVv8fJl3mbzXh33RS+0oW2wvUqiRXiQ69gLWSLpgB5/6sU+r6BlQR0MBILadqTQ==",
"deprecated": "This package is deprecated. Use the optional chaining (?.) operator instead.",
"license": "MIT"
},
"node_modules/lower-case": { "node_modules/lower-case": {
"version": "2.0.2", "version": "2.0.2",
"resolved": "https://registry.npmjs.org/lower-case/-/lower-case-2.0.2.tgz", "resolved": "https://registry.npmjs.org/lower-case/-/lower-case-2.0.2.tgz",

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@@ -29,6 +29,7 @@
"express": "^4.21.1", "express": "^4.21.1",
"express-validator": "^7.2.0", "express-validator": "^7.2.0",
"helmet": "^8.0.0", "helmet": "^8.0.0",
"json2csv": "^6.0.0-alpha.2",
"multer": "^1.4.5-lts.1", "multer": "^1.4.5-lts.1",
"node-cron": "^4.2.1", "node-cron": "^4.2.1",
"redis": "^5.9.0", "redis": "^5.9.0",
@@ -37,6 +38,7 @@
"devDependencies": { "devDependencies": {
"@types/cors": "^2.8.17", "@types/cors": "^2.8.17",
"@types/express": "^5.0.0", "@types/express": "^5.0.0",
"@types/json2csv": "^5.0.7",
"@types/multer": "^1.4.12", "@types/multer": "^1.4.12",
"@types/node": "^22.9.0", "@types/node": "^22.9.0",
"@types/node-cron": "^3.0.11", "@types/node-cron": "^3.0.11",

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@@ -0,0 +1,201 @@
import { Request, Response } from 'express';
import { analyticsService } from '../services/analyticsService';
export class AnalyticsController {
/**
* GET /api/analytics/summary
* Get overall statistics summary
*/
async getSummary(req: Request, res: Response) {
try {
const { startDate, endDate } = req.query;
let dateRange;
if (startDate && endDate) {
dateRange = {
startDate: new Date(startDate as string),
endDate: new Date(endDate as string),
};
}
const summary = await analyticsService.getSummary(dateRange);
res.json({
success: true,
data: summary,
});
} catch (error: any) {
console.error('Error fetching analytics summary:', error);
res.status(500).json({
error: {
code: 'INTERNAL_SERVER_ERROR',
message: error.message || 'Failed to fetch analytics summary',
timestamp: new Date().toISOString(),
},
});
}
}
/**
* GET /api/analytics/trends
* Get time series data for trends
*/
async getTrends(req: Request, res: Response) {
try {
const { startDate, endDate, interval = 'day' } = req.query;
if (!startDate || !endDate) {
return res.status(400).json({
error: {
code: 'VALIDATION_ERROR',
message: 'startDate and endDate are required',
timestamp: new Date().toISOString(),
},
});
}
const validIntervals = ['day', 'week', 'month'];
if (!validIntervals.includes(interval as string)) {
return res.status(400).json({
error: {
code: 'VALIDATION_ERROR',
message: 'interval must be one of: day, week, month',
timestamp: new Date().toISOString(),
},
});
}
const timeSeries = await analyticsService.getTimeSeries(
new Date(startDate as string),
new Date(endDate as string),
interval as 'day' | 'week' | 'month'
);
res.json({
success: true,
data: timeSeries,
});
} catch (error: any) {
console.error('Error fetching trends:', error);
res.status(500).json({
error: {
code: 'INTERNAL_SERVER_ERROR',
message: error.message || 'Failed to fetch trends data',
timestamp: new Date().toISOString(),
},
});
}
}
/**
* GET /api/analytics/comparison
* Get comparison metrics for period-over-period analysis
*/
async getComparison(req: Request, res: Response) {
try {
const { currentStart, currentEnd, previousStart, previousEnd } = req.query;
if (!currentStart || !currentEnd || !previousStart || !previousEnd) {
return res.status(400).json({
error: {
code: 'VALIDATION_ERROR',
message: 'currentStart, currentEnd, previousStart, and previousEnd are required',
timestamp: new Date().toISOString(),
},
});
}
const comparison = await analyticsService.getComparisonMetrics(
new Date(currentStart as string),
new Date(currentEnd as string),
new Date(previousStart as string),
new Date(previousEnd as string)
);
res.json({
success: true,
data: comparison,
});
} catch (error: any) {
console.error('Error fetching comparison metrics:', error);
res.status(500).json({
error: {
code: 'INTERNAL_SERVER_ERROR',
message: error.message || 'Failed to fetch comparison metrics',
timestamp: new Date().toISOString(),
},
});
}
}
/**
* GET /api/analytics/export
* Export analytics data to CSV
*/
async exportCSV(req: Request, res: Response) {
try {
const { startDate, endDate } = req.query;
let dateRange;
if (startDate && endDate) {
dateRange = {
startDate: new Date(startDate as string),
endDate: new Date(endDate as string),
};
}
const csv = await analyticsService.exportToCSV(dateRange);
// Set headers for CSV download
res.setHeader('Content-Type', 'text/csv');
res.setHeader('Content-Disposition', `attachment; filename="beach-litter-analytics-${new Date().toISOString().split('T')[0]}.csv"`);
res.send(csv);
} catch (error: any) {
console.error('Error exporting CSV:', error);
res.status(500).json({
error: {
code: 'INTERNAL_SERVER_ERROR',
message: error.message || 'Failed to export CSV',
timestamp: new Date().toISOString(),
},
});
}
}
/**
* GET /api/analytics/aggregated
* Get aggregated litter type and quantity data
*/
async getAggregatedData(req: Request, res: Response) {
try {
const { startDate, endDate } = req.query;
let dateRange;
if (startDate && endDate) {
dateRange = {
startDate: new Date(startDate as string),
endDate: new Date(endDate as string),
};
}
const aggregatedData = await analyticsService.getAggregatedData(dateRange);
res.json({
success: true,
data: aggregatedData,
});
} catch (error: any) {
console.error('Error fetching aggregated data:', error);
res.status(500).json({
error: {
code: 'INTERNAL_SERVER_ERROR',
message: error.message || 'Failed to fetch aggregated data',
timestamp: new Date().toISOString(),
},
});
}
}
}
export const analyticsController = new AnalyticsController();

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@@ -7,6 +7,7 @@ import reportRoutes from './routes/reportRoutes';
import eventRoutes from './routes/eventRoutes'; import eventRoutes from './routes/eventRoutes';
import userRoutes from './routes/userRoutes'; import userRoutes from './routes/userRoutes';
import externalDataRoutes from './routes/externalDataRoutes'; import externalDataRoutes from './routes/externalDataRoutes';
import analyticsRoutes from './routes/analyticsRoutes';
// Load environment variables // Load environment variables
dotenv.config(); dotenv.config();
@@ -44,6 +45,7 @@ app.use('/api/reports', reportRoutes);
app.use('/api/events', eventRoutes); app.use('/api/events', eventRoutes);
app.use('/api/users', userRoutes); app.use('/api/users', userRoutes);
app.use('/api/external', externalDataRoutes); app.use('/api/external', externalDataRoutes);
app.use('/api/analytics', analyticsRoutes);
// Error handling middleware // Error handling middleware
app.use((err: any, req: express.Request, res: express.Response, next: express.NextFunction) => { app.use((err: any, req: express.Request, res: express.Response, next: express.NextFunction) => {

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@@ -0,0 +1,13 @@
import { Router } from 'express';
import { analyticsController } from '../controllers/analyticsController';
const router = Router();
// Analytics endpoints
router.get('/summary', analyticsController.getSummary.bind(analyticsController));
router.get('/trends', analyticsController.getTrends.bind(analyticsController));
router.get('/comparison', analyticsController.getComparison.bind(analyticsController));
router.get('/export', analyticsController.exportCSV.bind(analyticsController));
router.get('/aggregated', analyticsController.getAggregatedData.bind(analyticsController));
export default router;

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@@ -0,0 +1,127 @@
import axios from 'axios';
const API_BASE_URL = process.env.API_BASE_URL || 'http://localhost:3005/api';
async function testAnalyticsEndpoints() {
console.log('🧪 Testing Analytics Endpoints\n');
try {
// Test 1: Get summary statistics
console.log('1️⃣ Testing GET /api/analytics/summary');
const summaryResponse = await axios.get(`${API_BASE_URL}/analytics/summary`);
console.log('✅ Summary response:', JSON.stringify(summaryResponse.data, null, 2));
console.log('');
// Test 2: Get summary with date range
console.log('2️⃣ Testing GET /api/analytics/summary with date range');
const startDate = new Date('2024-01-01').toISOString();
const endDate = new Date().toISOString();
const summaryWithDateResponse = await axios.get(
`${API_BASE_URL}/analytics/summary?startDate=${startDate}&endDate=${endDate}`
);
console.log('✅ Summary with date range:', JSON.stringify(summaryWithDateResponse.data, null, 2));
console.log('');
// Test 3: Get time series trends
console.log('3️⃣ Testing GET /api/analytics/trends');
const trendsResponse = await axios.get(
`${API_BASE_URL}/analytics/trends?startDate=${startDate}&endDate=${endDate}&interval=day`
);
console.log('✅ Trends response (first 5 entries):',
JSON.stringify(trendsResponse.data.data.slice(0, 5), null, 2)
);
console.log(` Total data points: ${trendsResponse.data.data.length}`);
console.log('');
// Test 4: Get comparison metrics
console.log('4️⃣ Testing GET /api/analytics/comparison');
const currentStart = new Date('2024-11-01').toISOString();
const currentEnd = new Date('2024-11-30').toISOString();
const previousStart = new Date('2024-10-01').toISOString();
const previousEnd = new Date('2024-10-31').toISOString();
const comparisonResponse = await axios.get(
`${API_BASE_URL}/analytics/comparison?currentStart=${currentStart}&currentEnd=${currentEnd}&previousStart=${previousStart}&previousEnd=${previousEnd}`
);
console.log('✅ Comparison metrics:', JSON.stringify(comparisonResponse.data, null, 2));
console.log('');
// Test 5: Get aggregated data
console.log('5️⃣ Testing GET /api/analytics/aggregated');
const aggregatedResponse = await axios.get(`${API_BASE_URL}/analytics/aggregated`);
console.log('✅ Aggregated data:', JSON.stringify(aggregatedResponse.data, null, 2));
console.log('');
// Test 6: Export CSV
console.log('6️⃣ Testing GET /api/analytics/export (CSV)');
const csvResponse = await axios.get(`${API_BASE_URL}/analytics/export`, {
responseType: 'text',
});
console.log('✅ CSV export successful');
console.log(' First 500 characters of CSV:');
console.log(csvResponse.data.substring(0, 500));
console.log(' ...');
console.log('');
// Test 7: Test trends with different intervals
console.log('7️⃣ Testing trends with week interval');
const weekTrendsResponse = await axios.get(
`${API_BASE_URL}/analytics/trends?startDate=${startDate}&endDate=${endDate}&interval=week`
);
console.log('✅ Week trends response:',
`${weekTrendsResponse.data.data.length} data points`
);
console.log('');
console.log('8️⃣ Testing trends with month interval');
const monthTrendsResponse = await axios.get(
`${API_BASE_URL}/analytics/trends?startDate=${startDate}&endDate=${endDate}&interval=month`
);
console.log('✅ Month trends response:',
`${monthTrendsResponse.data.data.length} data points`
);
console.log('');
// Test 9: Error handling - missing required parameters
console.log('9️⃣ Testing error handling - trends without dates');
try {
await axios.get(`${API_BASE_URL}/analytics/trends`);
console.log('❌ Should have thrown an error');
} catch (error: any) {
if (error.response?.status === 400) {
console.log('✅ Correctly returned 400 error:', error.response.data.error.message);
} else {
console.log('❌ Unexpected error:', error.message);
}
}
console.log('');
// Test 10: Error handling - invalid interval
console.log('🔟 Testing error handling - invalid interval');
try {
await axios.get(
`${API_BASE_URL}/analytics/trends?startDate=${startDate}&endDate=${endDate}&interval=invalid`
);
console.log('❌ Should have thrown an error');
} catch (error: any) {
if (error.response?.status === 400) {
console.log('✅ Correctly returned 400 error:', error.response.data.error.message);
} else {
console.log('❌ Unexpected error:', error.message);
}
}
console.log('');
console.log('✅ All analytics endpoint tests completed successfully!');
} catch (error: any) {
console.error('❌ Test failed:', error.message);
if (error.response) {
console.error('Response data:', error.response.data);
console.error('Response status:', error.response.status);
}
process.exit(1);
}
}
// Run tests
testAnalyticsEndpoints();

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@@ -0,0 +1,530 @@
import prisma from '../config/database';
import { Parser } from 'json2csv';
interface DateRange {
startDate: Date;
endDate: Date;
}
interface AnalyticsSummary {
totalReports: number;
totalEvents: number;
totalUsers: number;
totalLitterCollected: number;
reportsByType: Record<string, number>;
reportsByQuantity: Record<string, number>;
verifiedReports: number;
cleanedReports: number;
activeUsers: number;
upcomingEvents: number;
completedEvents: number;
}
interface TimeSeriesData {
date: string;
reportCount: number;
eventCount: number;
litterCollected: number;
}
interface ComparisonMetrics {
current: {
reports: number;
events: number;
users: number;
};
previous: {
reports: number;
events: number;
users: number;
};
percentageChange: {
reports: number;
events: number;
users: number;
};
}
export class AnalyticsService {
/**
* Get overall statistics summary
* Requirement 5.1: Display total count of litter reports aggregated by time period
*/
async getSummary(dateRange?: DateRange): Promise<AnalyticsSummary> {
const where: any = {};
if (dateRange) {
where.createdAt = {
gte: dateRange.startDate,
lte: dateRange.endDate,
};
}
// Total reports
const totalReports = await prisma.report.count({ where });
// Total events
const eventWhere: any = {};
if (dateRange) {
eventWhere.createdAt = {
gte: dateRange.startDate,
lte: dateRange.endDate,
};
}
const totalEvents = await prisma.event.count({ where: eventWhere });
// Total users
const userWhere: any = {};
if (dateRange) {
userWhere.createdAt = {
gte: dateRange.startDate,
lte: dateRange.endDate,
};
}
const totalUsers = await prisma.user.count({ where: userWhere });
// Reports by type (Requirement 5.2)
const reportsByTypeRaw = await prisma.report.groupBy({
by: ['litterType'],
where,
_count: {
id: true,
},
});
const reportsByType: Record<string, number> = {};
reportsByTypeRaw.forEach((item) => {
reportsByType[item.litterType] = item._count.id;
});
// Reports by quantity (Requirement 5.3)
const reportsByQuantityRaw = await prisma.report.groupBy({
by: ['quantity'],
where,
_count: {
id: true,
},
});
const reportsByQuantity: Record<string, number> = {};
reportsByQuantityRaw.forEach((item) => {
reportsByQuantity[item.quantity] = item._count.id;
});
// Verified reports
const verifiedReports = await prisma.report.count({
where: {
...where,
verificationStatus: 'verified',
},
});
// Cleaned reports
const cleanedReports = await prisma.report.count({
where: {
...where,
cleanedAt: { not: null },
},
});
// Active users (users who submitted reports or registered for events)
const activeUsersWithReports = await prisma.report.findMany({
where,
select: { userId: true },
distinct: ['userId'],
});
const activeUsersWithEvents = await prisma.eventRegistration.findMany({
where: dateRange ? {
registeredAt: {
gte: dateRange.startDate,
lte: dateRange.endDate,
},
} : {},
select: { userId: true },
distinct: ['userId'],
});
const uniqueActiveUsers = new Set([
...activeUsersWithReports.map(r => r.userId),
...activeUsersWithEvents.map(e => e.userId),
]);
const activeUsers = uniqueActiveUsers.size;
// Upcoming and completed events
const upcomingEvents = await prisma.event.count({
where: {
...eventWhere,
status: 'upcoming',
},
});
const completedEvents = await prisma.event.count({
where: {
...eventWhere,
status: 'completed',
},
});
// Total litter collected from completed events
const litterCollectedResult = await prisma.event.aggregate({
where: {
...eventWhere,
status: 'completed',
litterCollected: { not: null },
},
_sum: {
litterCollected: true,
},
});
const totalLitterCollected = litterCollectedResult._sum.litterCollected
? parseFloat(litterCollectedResult._sum.litterCollected.toString())
: 0;
return {
totalReports,
totalEvents,
totalUsers,
totalLitterCollected,
reportsByType,
reportsByQuantity,
verifiedReports,
cleanedReports,
activeUsers,
upcomingEvents,
completedEvents,
};
}
/**
* Get time series data for trends
* Requirement 5.4: Show trends comparing current period data to previous periods
*/
async getTimeSeries(
startDate: Date,
endDate: Date,
interval: 'day' | 'week' | 'month' = 'day'
): Promise<TimeSeriesData[]> {
// Determine date format based on interval
let dateFormat: string;
switch (interval) {
case 'day':
dateFormat = '%Y-%m-%d';
break;
case 'week':
dateFormat = '%Y-%u'; // Year-Week
break;
case 'month':
dateFormat = '%Y-%m';
break;
}
// Get report counts by date
const reportData = await prisma.$queryRaw<Array<{ date: string; count: bigint }>>`
SELECT
DATE_FORMAT(created_at, ${dateFormat}) as date,
COUNT(*) as count
FROM reports
WHERE created_at >= ${startDate} AND created_at <= ${endDate}
GROUP BY date
ORDER BY date ASC
`;
// Get event counts by date
const eventData = await prisma.$queryRaw<Array<{ date: string; count: bigint }>>`
SELECT
DATE_FORMAT(scheduled_date, ${dateFormat}) as date,
COUNT(*) as count
FROM events
WHERE scheduled_date >= ${startDate} AND scheduled_date <= ${endDate}
GROUP BY date
ORDER BY date ASC
`;
// Get litter collected by date
const litterData = await prisma.$queryRaw<Array<{ date: string; total: string | null }>>`
SELECT
DATE_FORMAT(scheduled_date, ${dateFormat}) as date,
SUM(litter_collected) as total
FROM events
WHERE scheduled_date >= ${startDate}
AND scheduled_date <= ${endDate}
AND status = 'completed'
AND litter_collected IS NOT NULL
GROUP BY date
ORDER BY date ASC
`;
// Merge data by date
const dateMap = new Map<string, TimeSeriesData>();
reportData.forEach((item) => {
dateMap.set(item.date, {
date: item.date,
reportCount: Number(item.count),
eventCount: 0,
litterCollected: 0,
});
});
eventData.forEach((item) => {
const existing = dateMap.get(item.date);
if (existing) {
existing.eventCount = Number(item.count);
} else {
dateMap.set(item.date, {
date: item.date,
reportCount: 0,
eventCount: Number(item.count),
litterCollected: 0,
});
}
});
litterData.forEach((item) => {
const existing = dateMap.get(item.date);
const litterAmount = item.total ? parseFloat(item.total) : 0;
if (existing) {
existing.litterCollected = litterAmount;
} else {
dateMap.set(item.date, {
date: item.date,
reportCount: 0,
eventCount: 0,
litterCollected: litterAmount,
});
}
});
return Array.from(dateMap.values()).sort((a, b) => a.date.localeCompare(b.date));
}
/**
* Get comparison metrics for period-over-period analysis
* Requirement 5.4: Show trends comparing current period data to previous periods with percentage change indicators
*/
async getComparisonMetrics(
currentStart: Date,
currentEnd: Date,
previousStart: Date,
previousEnd: Date
): Promise<ComparisonMetrics> {
// Current period metrics
const currentReports = await prisma.report.count({
where: {
createdAt: {
gte: currentStart,
lte: currentEnd,
},
},
});
const currentEvents = await prisma.event.count({
where: {
createdAt: {
gte: currentStart,
lte: currentEnd,
},
},
});
const currentUsers = await prisma.user.count({
where: {
createdAt: {
gte: currentStart,
lte: currentEnd,
},
},
});
// Previous period metrics
const previousReports = await prisma.report.count({
where: {
createdAt: {
gte: previousStart,
lte: previousEnd,
},
},
});
const previousEvents = await prisma.event.count({
where: {
createdAt: {
gte: previousStart,
lte: previousEnd,
},
},
});
const previousUsers = await prisma.user.count({
where: {
createdAt: {
gte: previousStart,
lte: previousEnd,
},
},
});
// Calculate percentage changes
const calculatePercentageChange = (current: number, previous: number): number => {
if (previous === 0) return current > 0 ? 100 : 0;
return ((current - previous) / previous) * 100;
};
return {
current: {
reports: currentReports,
events: currentEvents,
users: currentUsers,
},
previous: {
reports: previousReports,
events: previousEvents,
users: previousUsers,
},
percentageChange: {
reports: calculatePercentageChange(currentReports, previousReports),
events: calculatePercentageChange(currentEvents, previousEvents),
users: calculatePercentageChange(currentUsers, previousUsers),
},
};
}
/**
* Export analytics data to CSV
* Requirement 5.5: Allow Users to export analytics data in CSV format for external analysis
*/
async exportToCSV(dateRange?: DateRange): Promise<string> {
const where: any = {};
if (dateRange) {
where.createdAt = {
gte: dateRange.startDate,
lte: dateRange.endDate,
};
}
// Fetch all reports with relevant data
const reports = await prisma.report.findMany({
where,
include: {
user: {
select: {
username: true,
email: true,
},
},
environmentalConcerns: true,
verifications: true,
},
orderBy: {
createdAt: 'desc',
},
});
// Transform data for CSV export
const csvData = reports.map((report) => ({
id: report.id,
submittedAt: report.submittedAt?.toISOString() || '',
username: report.user.username,
latitude: Number(report.latitude),
longitude: Number(report.longitude),
locationSource: report.locationSource,
litterType: report.litterType,
quantity: report.quantity,
description: report.description || '',
verificationStatus: report.verificationStatus,
verificationCount: report.verifications.filter(v => v.verificationType === 'verify').length,
disputeCount: report.verifications.filter(v => v.verificationType === 'dispute').length,
cleanedAt: report.cleanedAt?.toISOString() || '',
photoCount: Array.isArray(report.photoUrls) ? report.photoUrls.length : 0,
environmentalConcernCount: report.environmentalConcerns.length,
environmentalConcernTypes: report.environmentalConcerns.map(c => c.concernType).join('; '),
}));
// Convert to CSV
const parser = new Parser({
fields: [
'id',
'submittedAt',
'username',
'latitude',
'longitude',
'locationSource',
'litterType',
'quantity',
'description',
'verificationStatus',
'verificationCount',
'disputeCount',
'cleanedAt',
'photoCount',
'environmentalConcernCount',
'environmentalConcernTypes',
],
});
return parser.parse(csvData);
}
/**
* Get aggregated litter type and quantity data
* Requirement 5.2: Generate charts showing litter distribution by category type
* Requirement 5.3: Calculate and display the total estimated quantity of litter reported
*/
async getAggregatedData(dateRange?: DateRange) {
const where: any = {};
if (dateRange) {
where.createdAt = {
gte: dateRange.startDate,
lte: dateRange.endDate,
};
}
// Litter type distribution
const litterTypeData = await prisma.report.groupBy({
by: ['litterType'],
where,
_count: {
id: true,
},
});
// Quantity distribution
const quantityData = await prisma.report.groupBy({
by: ['quantity'],
where,
_count: {
id: true,
},
});
// Verification status distribution
const verificationData = await prisma.report.groupBy({
by: ['verificationStatus'],
where,
_count: {
id: true,
},
});
return {
litterTypes: litterTypeData.map(item => ({
type: item.litterType,
count: item._count.id,
})),
quantities: quantityData.map(item => ({
level: item.quantity,
count: item._count.id,
})),
verificationStatus: verificationData.map(item => ({
status: item.verificationStatus || 'pending',
count: item._count.id,
})),
};
}
}
export const analyticsService = new AnalyticsService();

View File

@@ -47,11 +47,14 @@ export function LitterTypeChart({ data, loading }: LitterTypeChartProps) {
); );
} }
// Calculate total for percentages
const total = data.reduce((sum, item) => sum + item.count, 0);
// Format data for the chart // Format data for the chart
const chartData = data.map(item => ({ const chartData = data.map(item => ({
name: LITTER_TYPE_LABELS[item.type] || item.type, name: LITTER_TYPE_LABELS[item.type] || item.type,
value: item.count, value: item.count,
percentage: item.percentage, percentage: total > 0 ? (item.count / total) * 100 : 0,
})); }));
const renderCustomLabel = (entry: { name: string; percentage: number }) => { const renderCustomLabel = (entry: { name: string; percentage: number }) => {

View File

@@ -43,12 +43,15 @@ export function QuantityChart({ data, loading }: QuantityChartProps) {
); );
} }
// Calculate total for percentages
const total = data.reduce((sum, item) => sum + item.count, 0);
// Format data for the chart // Format data for the chart
const chartData = data.map(item => ({ const chartData = data.map(item => ({
name: QUANTITY_LABELS[item.quantity] || item.quantity, name: QUANTITY_LABELS[item.level] || item.level,
count: item.count, count: item.count,
percentage: item.percentage, percentage: total > 0 ? (item.count / total) * 100 : 0,
quantity: item.quantity, quantity: item.level,
})); }));
return ( return (

View File

@@ -57,17 +57,17 @@ export function TimeSeriesChart({ data, loading }: TimeSeriesChartProps) {
/> />
<Line <Line
type="monotone" type="monotone"
dataKey="reports" dataKey="reportCount"
stroke="#3b82f6" stroke="#3b82f6"
strokeWidth={2} strokeWidth={2}
name="Reports" name="Reports"
dot={{ fill: '#3b82f6', r: 4 }} dot={{ fill: '#3b82f6', r: 4 }}
activeDot={{ r: 6 }} activeDot={{ r: 6 }}
/> />
{data.some(d => d.events !== undefined) && ( {data.some(d => d.eventCount !== undefined) && (
<Line <Line
type="monotone" type="monotone"
dataKey="events" dataKey="eventCount"
stroke="#10b981" stroke="#10b981"
strokeWidth={2} strokeWidth={2}
name="Events" name="Events"
@@ -75,6 +75,17 @@ export function TimeSeriesChart({ data, loading }: TimeSeriesChartProps) {
activeDot={{ r: 6 }} activeDot={{ r: 6 }}
/> />
)} )}
{data.some(d => d.litterCollected > 0) && (
<Line
type="monotone"
dataKey="litterCollected"
stroke="#f59e0b"
strokeWidth={2}
name="Litter Collected (kg)"
dot={{ fill: '#f59e0b', r: 4 }}
activeDot={{ r: 6 }}
/>
)}
</LineChart> </LineChart>
</ResponsiveContainer> </ResponsiveContainer>
</div> </div>

View File

@@ -46,6 +46,13 @@ export function AnalyticsPage() {
totalEvents: 0, totalEvents: 0,
totalUsers: 0, totalUsers: 0,
totalLitterCollected: 0, totalLitterCollected: 0,
reportsByType: {},
reportsByQuantity: {},
verifiedReports: 0,
cleanedReports: 0,
activeUsers: 0,
upcomingEvents: 0,
completedEvents: 0,
}); });
setError('Analytics API not yet implemented. Showing placeholder data.'); setError('Analytics API not yet implemented. Showing placeholder data.');
} finally { } finally {
@@ -85,29 +92,30 @@ export function AnalyticsPage() {
date.setDate(date.getDate() + Math.floor(i * daysDiff / dataPoints)); date.setDate(date.getDate() + Math.floor(i * daysDiff / dataPoints));
mockTimeSeries.push({ mockTimeSeries.push({
date: date.toLocaleDateString('en-US', { month: 'short', day: 'numeric' }), date: date.toLocaleDateString('en-US', { month: 'short', day: 'numeric' }),
reports: Math.floor(Math.random() * 20) + 5, reportCount: Math.floor(Math.random() * 20) + 5,
events: Math.floor(Math.random() * 5), eventCount: Math.floor(Math.random() * 5),
litterCollected: Math.floor(Math.random() * 50) + 10,
}); });
} }
setTimeSeriesData(mockTimeSeries); setTimeSeriesData(mockTimeSeries);
// Generate mock litter type distribution // Generate mock litter type distribution
const mockLitterTypes: LitterTypeDistribution[] = [ const mockLitterTypes: LitterTypeDistribution[] = [
{ type: 'plastic', count: 45, percentage: 45 }, { type: 'plastic', count: 45 },
{ type: 'metal', count: 15, percentage: 15 }, { type: 'metal', count: 15 },
{ type: 'glass', count: 12, percentage: 12 }, { type: 'glass', count: 12 },
{ type: 'organic', count: 10, percentage: 10 }, { type: 'organic', count: 10 },
{ type: 'hazardous', count: 8, percentage: 8 }, { type: 'hazardous', count: 8 },
{ type: 'other', count: 10, percentage: 10 }, { type: 'other', count: 10 },
]; ];
setLitterTypeData(mockLitterTypes); setLitterTypeData(mockLitterTypes);
// Generate mock quantity aggregation // Generate mock quantity aggregation
const mockQuantities: QuantityAggregation[] = [ const mockQuantities: QuantityAggregation[] = [
{ quantity: 'minimal', count: 30, percentage: 30 }, { level: 'minimal', count: 30 },
{ quantity: 'moderate', count: 40, percentage: 40 }, { level: 'moderate', count: 40 },
{ quantity: 'significant', count: 20, percentage: 20 }, { level: 'significant', count: 20 },
{ quantity: 'severe', count: 10, percentage: 10 }, { level: 'severe', count: 10 },
]; ];
setQuantityData(mockQuantities); setQuantityData(mockQuantities);
} finally { } finally {
@@ -211,14 +219,6 @@ export function AnalyticsPage() {
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M9 12h6m-6 4h6m2 5H7a2 2 0 01-2-2V5a2 2 0 012-2h5.586a1 1 0 01.707.293l5.414 5.414a1 1 0 01.293.707V19a2 2 0 01-2 2z" /> <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M9 12h6m-6 4h6m2 5H7a2 2 0 01-2-2V5a2 2 0 012-2h5.586a1 1 0 01.707.293l5.414 5.414a1 1 0 01.293.707V19a2 2 0 01-2 2z" />
</svg> </svg>
} }
trend={
summary.periodComparison
? {
value: summary.periodComparison.reports,
isPositive: summary.periodComparison.reports > 0,
}
: undefined
}
subtitle="Litter reports submitted" subtitle="Litter reports submitted"
/> />
@@ -230,33 +230,17 @@ export function AnalyticsPage() {
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M8 7V3m8 4V3m-9 8h10M5 21h14a2 2 0 002-2V7a2 2 0 00-2-2H5a2 2 0 00-2 2v12a2 2 0 002 2z" /> <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M8 7V3m8 4V3m-9 8h10M5 21h14a2 2 0 002-2V7a2 2 0 00-2-2H5a2 2 0 00-2 2v12a2 2 0 002 2z" />
</svg> </svg>
} }
trend={
summary.periodComparison
? {
value: summary.periodComparison.events,
isPositive: summary.periodComparison.events > 0,
}
: undefined
}
subtitle="Cleanup events organized" subtitle="Cleanup events organized"
/> />
<StatCard <StatCard
title="Active Users" title="Active Users"
value={summary.totalUsers.toLocaleString()} value={summary.activeUsers.toLocaleString()}
icon={ icon={
<svg className="w-6 h-6" fill="none" stroke="currentColor" viewBox="0 0 24 24"> <svg className="w-6 h-6" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M12 4.354a4 4 0 110 5.292M15 21H3v-1a6 6 0 0112 0v1zm0 0h6v-1a6 6 0 00-9-5.197M13 7a4 4 0 11-8 0 4 4 0 018 0z" /> <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M12 4.354a4 4 0 110 5.292M15 21H3v-1a6 6 0 0112 0v1zm0 0h6v-1a6 6 0 00-9-5.197M13 7a4 4 0 11-8 0 4 4 0 018 0z" />
</svg> </svg>
} }
trend={
summary.periodComparison
? {
value: summary.periodComparison.users,
isPositive: summary.periodComparison.users > 0,
}
: undefined
}
subtitle="Contributing to the platform" subtitle="Contributing to the platform"
/> />

View File

@@ -15,13 +15,38 @@ class AnalyticsService {
} }
const queryString = params.toString(); const queryString = params.toString();
return apiClient.get<AnalyticsSummary>(`/analytics/summary${queryString ? `?${queryString}` : ''}`); const response = await apiClient.get<{ success: boolean; data: AnalyticsSummary }>(`/analytics/summary${queryString ? `?${queryString}` : ''}`);
return response.data;
} }
/** /**
* Get time series data for report trends * Get time series data for report trends
*/ */
async getTimeSeries(dateRange?: { start: string; end: string }): Promise<TimeSeriesDataPoint[]> { async getTimeSeries(
dateRange?: { start: string; end: string },
interval: 'day' | 'week' | 'month' = 'day'
): Promise<TimeSeriesDataPoint[]> {
const params = new URLSearchParams();
if (dateRange) {
params.append('startDate', dateRange.start);
params.append('endDate', dateRange.end);
}
params.append('interval', interval);
const queryString = params.toString();
const response = await apiClient.get<{ success: boolean; data: TimeSeriesDataPoint[] }>(`/analytics/trends${queryString ? `?${queryString}` : ''}`);
return response.data;
}
/**
* Get aggregated data (litter types, quantities, verification status)
*/
async getAggregatedData(dateRange?: { start: string; end: string }): Promise<{
litterTypes: LitterTypeDistribution[];
quantities: QuantityAggregation[];
verificationStatus: Array<{ status: string; count: number }>;
}> {
const params = new URLSearchParams(); const params = new URLSearchParams();
if (dateRange) { if (dateRange) {
@@ -30,37 +55,56 @@ class AnalyticsService {
} }
const queryString = params.toString(); const queryString = params.toString();
return apiClient.get<TimeSeriesDataPoint[]>(`/analytics/trends${queryString ? `?${queryString}` : ''}`); const response = await apiClient.get<{ success: boolean; data: {
litterTypes: LitterTypeDistribution[];
quantities: QuantityAggregation[];
verificationStatus: Array<{ status: string; count: number }>;
} }>(`/analytics/aggregated${queryString ? `?${queryString}` : ''}`);
return response.data;
} }
/** /**
* Get litter type distribution data * Get litter type distribution data
*/ */
async getLitterTypeDistribution(dateRange?: { start: string; end: string }): Promise<LitterTypeDistribution[]> { async getLitterTypeDistribution(dateRange?: { start: string; end: string }): Promise<LitterTypeDistribution[]> {
const params = new URLSearchParams(); const data = await this.getAggregatedData(dateRange);
return data.litterTypes;
if (dateRange) {
params.append('startDate', dateRange.start);
params.append('endDate', dateRange.end);
}
const queryString = params.toString();
return apiClient.get<LitterTypeDistribution[]>(`/analytics/litter-types${queryString ? `?${queryString}` : ''}`);
} }
/** /**
* Get quantity estimation aggregation data * Get quantity estimation aggregation data
*/ */
async getQuantityAggregation(dateRange?: { start: string; end: string }): Promise<QuantityAggregation[]> { async getQuantityAggregation(dateRange?: { start: string; end: string }): Promise<QuantityAggregation[]> {
const params = new URLSearchParams(); const data = await this.getAggregatedData(dateRange);
return data.quantities;
if (dateRange) { }
params.append('startDate', dateRange.start);
params.append('endDate', dateRange.end);
}
const queryString = params.toString(); /**
return apiClient.get<QuantityAggregation[]>(`/analytics/quantities${queryString ? `?${queryString}` : ''}`); * Get comparison metrics for period-over-period analysis
*/
async getComparisonMetrics(
currentStart: string,
currentEnd: string,
previousStart: string,
previousEnd: string
): Promise<{
current: { reports: number; events: number; users: number };
previous: { reports: number; events: number; users: number };
percentageChange: { reports: number; events: number; users: number };
}> {
const params = new URLSearchParams({
currentStart,
currentEnd,
previousStart,
previousEnd,
});
const response = await apiClient.get<{ success: boolean; data: {
current: { reports: number; events: number; users: number };
previous: { reports: number; events: number; users: number };
percentageChange: { reports: number; events: number; users: number };
} }>(`/analytics/comparison?${params.toString()}`);
return response.data;
} }
/** /**

View File

@@ -149,12 +149,14 @@ export interface AnalyticsSummary {
totalReports: number; totalReports: number;
totalEvents: number; totalEvents: number;
totalUsers: number; totalUsers: number;
totalLitterCollected?: number; // in kilograms totalLitterCollected: number; // in kilograms
periodComparison?: { reportsByType: Record<string, number>;
reports: number; // percentage change reportsByQuantity: Record<string, number>;
events: number; verifiedReports: number;
users: number; cleanedReports: number;
}; activeUsers: number;
upcomingEvents: number;
completedEvents: number;
} }
export interface DateRange { export interface DateRange {
@@ -164,20 +166,19 @@ export interface DateRange {
export interface TimeSeriesDataPoint { export interface TimeSeriesDataPoint {
date: string; date: string;
reports: number; reportCount: number;
events?: number; eventCount: number;
litterCollected: number;
} }
export interface LitterTypeDistribution { export interface LitterTypeDistribution {
type: LitterType; type: string;
count: number; count: number;
percentage: number;
} }
export interface QuantityAggregation { export interface QuantityAggregation {
quantity: QuantityLevel; level: string;
count: number; count: number;
percentage: number;
} }
// External environmental data types // External environmental data types