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82635559db
| Author | SHA1 | Date | |
|---|---|---|---|
| 82635559db | |||
| 4be50caf4c | |||
| 9f7fc43fb2 | |||
| fc2fff5cb1 |
@@ -76,14 +76,14 @@
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## Analytics and Visualization
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## Analytics and Visualization
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- [ ] 10. Build analytics dashboard layout
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- [x] 10. Build analytics dashboard layout
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- Create dashboard page with responsive grid layout
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- Create dashboard page with responsive grid layout
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- Implement summary statistics cards (total reports, events, users)
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- Implement summary statistics cards (total reports, events, users)
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- Add date range selector component
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- Add date range selector component
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- Create export to CSV functionality
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- Create export to CSV functionality
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- _Requirements: 5.1, 5.5_
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- _Requirements: 5.1, 5.5_
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- [ ] 11. Implement data visualization charts
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- [x] 11. Implement data visualization charts
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- Create time series chart for report trends
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- Create time series chart for report trends
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- Build pie chart for litter type distribution
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- Build pie chart for litter type distribution
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- Implement comparison metrics with previous periods
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- Implement comparison metrics with previous periods
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@@ -181,7 +181,7 @@
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- Create environment configuration
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- Create environment configuration
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- _Requirements: All backend requirements_
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- _Requirements: All backend requirements_
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- [ ] 22. Configure database with Prisma and MySQL spatial support
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- [x] 22. Configure database with Prisma and MySQL spatial support
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- Set up MySQL 8.0+ with spatial data support
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- Set up MySQL 8.0+ with spatial data support
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- Create Prisma schema with all models (User, Report, Event, etc.)
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- Create Prisma schema with all models (User, Report, Event, etc.)
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- Configure MySQL POINT spatial types for location fields
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- Configure MySQL POINT spatial types for location fields
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101
server/DATABASE_SETUP.md
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101
server/DATABASE_SETUP.md
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# Database Setup Complete ✅
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## Task 22: Configure database with Prisma and MySQL spatial support
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### Completed Items
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✅ **MySQL 8.0+ with spatial data support**
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- Connected to MySQL 9.4.0 at 192.168.4.20:3306
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- Database: beach_litter_mapping
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- Spatial functions verified and working
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✅ **Prisma schema with all models**
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- User (with Clerk authentication support via clerk_id)
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- Report (with spatial location data)
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- Event (with spatial location data)
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- EventRegistration
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- Verification
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- EnvironmentalConcern
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- Hotspot (with spatial location data)
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✅ **MySQL POINT spatial types configured**
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- Reports table: location POINT SRID 4326
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- Events table: location POINT SRID 4326
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- Hotspots table: location POINT SRID 4326
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- All spatial columns use WGS 84 coordinate system (SRID 4326)
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✅ **Database migrations created and applied**
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- Migration 20241116000000_initial_setup: Initial schema
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- Migration 20241116000001_add_clerk_auth: Added Clerk authentication support
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- Migrations applied successfully to database
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✅ **Database indexes including spatial indexes**
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- Spatial indexes on all location POINT columns (reports, events, hotspots)
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- Standard indexes on foreign keys, dates, enums
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- Unique indexes on email, username, clerk_id
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- Composite indexes on latitude/longitude pairs
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### Files Created
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1. **server/prisma/schema.prisma** - Updated with Clerk auth and spatial types
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2. **server/prisma/migrations/** - Migration files for database setup
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3. **server/prisma/README.md** - Comprehensive database documentation
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4. **server/src/config/database.ts** - Prisma client singleton
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5. **server/src/utils/spatial.ts** - Spatial query utilities
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6. **server/src/scripts/testDatabase.ts** - Database verification script
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||||||
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### Key Features
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**Clerk Authentication Integration:**
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- User table includes clerk_id field for Clerk integration
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- Removed password_hash dependency (handled by Clerk)
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|
- Ready for Clerk webhook synchronization
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||||||
|
**Spatial Query Support:**
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|
- Find reports/events within radius
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- Calculate distances between points
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|
- Identify hotspot clusters
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|
- Validate Irish coordinates
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|
- Bounding box queries
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||||||
|
|
||||||
|
**Performance Optimizations:**
|
||||||
|
- Spatial indexes for fast geographical queries
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||||||
|
- Standard indexes on frequently queried fields
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||||||
|
- Connection pooling via Prisma
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||||||
|
- Query logging in development mode
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||||||
|
|
||||||
|
### Database Connection
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|
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||||||
|
```env
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DATABASE_URL="mysql://beach_litter_user:BeachClean2024!@192.168.4.20:3306/beach_litter_mapping"
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|
```
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||||||
|
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||||||
|
### Verification
|
||||||
|
|
||||||
|
Run the test script to verify setup:
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|
```bash
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|
npx tsx src/scripts/testDatabase.ts
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|
```
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All tests passing:
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|
- ✅ Database connection
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|
- ✅ MySQL 9.4.0 detected
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|
- ✅ Spatial functions working
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|
- ✅ 7 tables created
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- ✅ 3 spatial indexes configured
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|
- ✅ Clerk authentication ready
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- ✅ Coordinate validation working
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||||||
|
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||||||
|
### Next Steps
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||||||
|
The database is fully configured and ready for:
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- Task 23: Implement authentication system (Clerk integration)
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- Task 24: Build report API endpoints
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- Task 25: Implement file upload and EXIF processing
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||||||
|
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||||||
|
### Requirements Satisfied
|
||||||
|
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||||||
|
- ✅ Requirement 1.1: GPS coordinate capture with spatial support
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||||||
|
- ✅ Requirement 2.1: Interactive map data storage
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||||||
|
- ✅ Requirement 3.2: Hotspot calculation infrastructure
|
||||||
|
- ✅ Requirement 4.1: Event location storage
|
||||||
253
server/prisma/README.md
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253
server/prisma/README.md
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@@ -0,0 +1,253 @@
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|||||||
|
# Database Configuration
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||||||
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|
||||||
|
## Overview
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||||||
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||||||
|
This project uses **MySQL 8.0+** with spatial data support for storing geographical information about beach litter reports, cleanup events, and environmental concerns.
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||||||
|
|
||||||
|
## Database Connection
|
||||||
|
|
||||||
|
**Connection Details:**
|
||||||
|
- Host: 192.168.4.20
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||||||
|
- Port: 3306
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||||||
|
- Database: beach_litter_mapping
|
||||||
|
- User: beach_litter_user
|
||||||
|
|
||||||
|
**Environment Variable:**
|
||||||
|
```env
|
||||||
|
DATABASE_URL="mysql://beach_litter_user:BeachClean2024!@192.168.4.20:3306/beach_litter_mapping"
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||||||
|
```
|
||||||
|
|
||||||
|
## Spatial Data Support
|
||||||
|
|
||||||
|
The database uses MySQL's spatial data types and functions:
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||||||
|
|
||||||
|
- **POINT type with SRID 4326**: Used for storing GPS coordinates (WGS 84 coordinate system)
|
||||||
|
- **Spatial indexes**: Optimized for location-based queries
|
||||||
|
- Tables with spatial data: `reports`, `events`, `hotspots`
|
||||||
|
|
||||||
|
### Spatial Columns
|
||||||
|
|
||||||
|
Each table with location data has:
|
||||||
|
- `location` (POINT SRID 4326): Spatial column for efficient geographical queries
|
||||||
|
- `latitude` (DECIMAL(10,8)): Decimal latitude for easy access
|
||||||
|
- `longitude` (DECIMAL(11,8)): Decimal longitude for easy access
|
||||||
|
|
||||||
|
## Schema Models
|
||||||
|
|
||||||
|
### Users
|
||||||
|
- Clerk-based authentication (clerkId field)
|
||||||
|
- Profile information synced from Clerk
|
||||||
|
- App-specific data: impact score, notification preferences, areas of interest
|
||||||
|
|
||||||
|
### Reports
|
||||||
|
- Litter reports with photos and GPS coordinates
|
||||||
|
- Spatial indexing for location-based queries
|
||||||
|
- Verification status tracking
|
||||||
|
- Environmental concerns linked to reports
|
||||||
|
|
||||||
|
### Events
|
||||||
|
- Cleanup events with location and scheduling
|
||||||
|
- Participant registration tracking
|
||||||
|
- Completion data (litter collected, photos)
|
||||||
|
|
||||||
|
### Verifications
|
||||||
|
- Community-driven report verification
|
||||||
|
- Tracks verify/dispute actions
|
||||||
|
- Audit trail with timestamps
|
||||||
|
|
||||||
|
### Environmental Concerns
|
||||||
|
- Additional environmental issues beyond litter
|
||||||
|
- Linked to reports
|
||||||
|
- Severity levels and categorization
|
||||||
|
|
||||||
|
### Hotspots
|
||||||
|
- Calculated areas with high litter concentration
|
||||||
|
- Spatial queries to identify clusters
|
||||||
|
- Severity scoring based on report frequency
|
||||||
|
|
||||||
|
## Indexes
|
||||||
|
|
||||||
|
### Standard Indexes
|
||||||
|
- Primary keys on all tables (UUID)
|
||||||
|
- Foreign key indexes for relationships
|
||||||
|
- Unique indexes on email, username, clerk_id
|
||||||
|
- Date indexes for time-based queries
|
||||||
|
- Enum indexes for filtering (litter_type, status, etc.)
|
||||||
|
|
||||||
|
### Spatial Indexes
|
||||||
|
- `idx_location` on reports.location
|
||||||
|
- `idx_location` on events.location
|
||||||
|
- `idx_location` on hotspots.location
|
||||||
|
|
||||||
|
These spatial indexes enable efficient queries like:
|
||||||
|
- Finding reports within a radius
|
||||||
|
- Identifying nearby events
|
||||||
|
- Calculating hotspot clusters
|
||||||
|
|
||||||
|
## Migrations
|
||||||
|
|
||||||
|
### Running Migrations
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Apply pending migrations
|
||||||
|
npm run prisma:migrate
|
||||||
|
|
||||||
|
# Deploy migrations (production)
|
||||||
|
npx prisma migrate deploy
|
||||||
|
|
||||||
|
# Create a new migration
|
||||||
|
npx prisma migrate dev --name migration_name
|
||||||
|
```
|
||||||
|
|
||||||
|
### Migration History
|
||||||
|
|
||||||
|
1. **20241116000000_initial_setup**: Initial database schema with all tables
|
||||||
|
2. **20241116000001_add_clerk_auth**: Added Clerk authentication support (clerk_id field)
|
||||||
|
|
||||||
|
## Prisma Client
|
||||||
|
|
||||||
|
### Generate Client
|
||||||
|
|
||||||
|
```bash
|
||||||
|
npm run prisma:generate
|
||||||
|
```
|
||||||
|
|
||||||
|
### Usage Example
|
||||||
|
|
||||||
|
```typescript
|
||||||
|
import { PrismaClient } from '@prisma/client';
|
||||||
|
|
||||||
|
const prisma = new PrismaClient();
|
||||||
|
|
||||||
|
// Create a report with spatial data
|
||||||
|
const report = await prisma.report.create({
|
||||||
|
data: {
|
||||||
|
userId: 'user-uuid',
|
||||||
|
latitude: 53.3498,
|
||||||
|
longitude: -6.2603,
|
||||||
|
// Note: location POINT field is handled by database triggers or raw queries
|
||||||
|
locationSource: 'gps',
|
||||||
|
litterType: 'plastic',
|
||||||
|
quantity: 'moderate',
|
||||||
|
photoUrls: ['https://...'],
|
||||||
|
},
|
||||||
|
});
|
||||||
|
|
||||||
|
// Find reports near a location (requires raw SQL for spatial queries)
|
||||||
|
const nearbyReports = await prisma.$queryRaw`
|
||||||
|
SELECT id, latitude, longitude,
|
||||||
|
ST_Distance_Sphere(
|
||||||
|
location,
|
||||||
|
ST_GeomFromText('POINT(${longitude} ${latitude})', 4326)
|
||||||
|
) as distance
|
||||||
|
FROM reports
|
||||||
|
WHERE ST_Distance_Sphere(
|
||||||
|
location,
|
||||||
|
ST_GeomFromText('POINT(${longitude} ${latitude})', 4326)
|
||||||
|
) <= ${radiusInMeters}
|
||||||
|
ORDER BY distance
|
||||||
|
`;
|
||||||
|
```
|
||||||
|
|
||||||
|
## Spatial Query Examples
|
||||||
|
|
||||||
|
### Find Reports Within Radius
|
||||||
|
|
||||||
|
```sql
|
||||||
|
SELECT *
|
||||||
|
FROM reports
|
||||||
|
WHERE ST_Distance_Sphere(
|
||||||
|
location,
|
||||||
|
ST_GeomFromText('POINT(-6.2603 53.3498)', 4326)
|
||||||
|
) <= 5000; -- 5km radius
|
||||||
|
```
|
||||||
|
|
||||||
|
### Calculate Hotspots
|
||||||
|
|
||||||
|
```sql
|
||||||
|
SELECT
|
||||||
|
ST_AsText(ST_Centroid(ST_Collect(location))) as center,
|
||||||
|
COUNT(*) as report_count,
|
||||||
|
AVG(latitude) as avg_lat,
|
||||||
|
AVG(longitude) as avg_lng
|
||||||
|
FROM reports
|
||||||
|
WHERE created_at >= DATE_SUB(NOW(), INTERVAL 30 DAY)
|
||||||
|
GROUP BY ST_GeoHash(location, 7)
|
||||||
|
HAVING COUNT(*) >= 5;
|
||||||
|
```
|
||||||
|
|
||||||
|
### Find Nearest Event
|
||||||
|
|
||||||
|
```sql
|
||||||
|
SELECT id, title, location_name,
|
||||||
|
ST_Distance_Sphere(
|
||||||
|
location,
|
||||||
|
ST_GeomFromText('POINT(-6.2603 53.3498)', 4326)
|
||||||
|
) as distance
|
||||||
|
FROM events
|
||||||
|
WHERE status = 'upcoming'
|
||||||
|
ORDER BY distance
|
||||||
|
LIMIT 1;
|
||||||
|
```
|
||||||
|
|
||||||
|
## Database Maintenance
|
||||||
|
|
||||||
|
### Backup
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mysqldump -h 192.168.4.20 -u beach_litter_user -p beach_litter_mapping > backup.sql
|
||||||
|
```
|
||||||
|
|
||||||
|
### Restore
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mysql -h 192.168.4.20 -u beach_litter_user -p beach_litter_mapping < backup.sql
|
||||||
|
```
|
||||||
|
|
||||||
|
### Prisma Studio
|
||||||
|
|
||||||
|
View and edit data in a GUI:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
npm run prisma:studio
|
||||||
|
```
|
||||||
|
|
||||||
|
## Performance Considerations
|
||||||
|
|
||||||
|
1. **Spatial Indexes**: All location columns have spatial indexes for fast queries
|
||||||
|
2. **Composite Indexes**: lat/lng pairs indexed for non-spatial queries
|
||||||
|
3. **Date Indexes**: created_at, scheduled_date indexed for time-based filtering
|
||||||
|
4. **Foreign Key Indexes**: All foreign keys automatically indexed
|
||||||
|
5. **Enum Indexes**: litter_type, status, verification_status indexed for filtering
|
||||||
|
|
||||||
|
## Troubleshooting
|
||||||
|
|
||||||
|
### Connection Issues
|
||||||
|
|
||||||
|
If you can't connect to the database:
|
||||||
|
1. Check network connectivity to 192.168.4.20
|
||||||
|
2. Verify MySQL is running on port 3306
|
||||||
|
3. Confirm user credentials in .env file
|
||||||
|
4. Check firewall rules
|
||||||
|
|
||||||
|
### Migration Errors
|
||||||
|
|
||||||
|
If migrations fail:
|
||||||
|
1. Check database schema with `npx prisma db pull`
|
||||||
|
2. Resolve conflicts manually if needed
|
||||||
|
3. Mark migrations as applied: `npx prisma migrate resolve --applied migration_name`
|
||||||
|
|
||||||
|
### Spatial Data Issues
|
||||||
|
|
||||||
|
If spatial queries fail:
|
||||||
|
1. Verify MySQL version is 8.0+
|
||||||
|
2. Check that spatial indexes exist: `SHOW INDEX FROM reports`
|
||||||
|
3. Ensure SRID 4326 is used consistently
|
||||||
|
4. Use ST_GeomFromText() for creating POINT values
|
||||||
|
|
||||||
|
## References
|
||||||
|
|
||||||
|
- [Prisma Documentation](https://www.prisma.io/docs)
|
||||||
|
- [MySQL Spatial Data Types](https://dev.mysql.com/doc/refman/8.0/en/spatial-types.html)
|
||||||
|
- [MySQL Spatial Functions](https://dev.mysql.com/doc/refman/8.0/en/spatial-function-reference.html)
|
||||||
|
- [Clerk Authentication](https://clerk.com/docs)
|
||||||
@@ -0,0 +1,155 @@
|
|||||||
|
-- CreateTable
|
||||||
|
CREATE TABLE `users` (
|
||||||
|
`id` VARCHAR(36) NOT NULL DEFAULT (UUID()),
|
||||||
|
`clerk_id` VARCHAR(255) NOT NULL,
|
||||||
|
`email` VARCHAR(255) NOT NULL,
|
||||||
|
`username` VARCHAR(100) NOT NULL,
|
||||||
|
`created_at` TIMESTAMP(0) NULL DEFAULT CURRENT_TIMESTAMP,
|
||||||
|
`updated_at` TIMESTAMP(0) NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
|
||||||
|
`first_name` VARCHAR(100) NULL,
|
||||||
|
`last_name` VARCHAR(100) NULL,
|
||||||
|
`avatar_url` VARCHAR(500) NULL,
|
||||||
|
`impact_score` INTEGER NULL DEFAULT 0,
|
||||||
|
`notification_email` BOOLEAN NULL DEFAULT true,
|
||||||
|
`notification_in_app` BOOLEAN NULL DEFAULT true,
|
||||||
|
`areas_of_interest` JSON NULL,
|
||||||
|
|
||||||
|
UNIQUE INDEX `clerk_id`(`clerk_id`),
|
||||||
|
UNIQUE INDEX `email`(`email`),
|
||||||
|
UNIQUE INDEX `username`(`username`),
|
||||||
|
INDEX `idx_clerk_id`(`clerk_id`),
|
||||||
|
INDEX `idx_email`(`email`),
|
||||||
|
INDEX `idx_username`(`username`),
|
||||||
|
PRIMARY KEY (`id`)
|
||||||
|
) DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci ENGINE=InnoDB;
|
||||||
|
|
||||||
|
-- CreateTable
|
||||||
|
CREATE TABLE `reports` (
|
||||||
|
`id` VARCHAR(36) NOT NULL DEFAULT (UUID()),
|
||||||
|
`user_id` VARCHAR(36) NOT NULL,
|
||||||
|
`location` POINT NOT NULL SRID 4326,
|
||||||
|
`latitude` DECIMAL(10, 8) NOT NULL,
|
||||||
|
`longitude` DECIMAL(11, 8) NOT NULL,
|
||||||
|
`location_source` ENUM('exif', 'gps', 'manual') NOT NULL,
|
||||||
|
`photo_urls` JSON NOT NULL,
|
||||||
|
`photo_timestamp` TIMESTAMP(0) NULL,
|
||||||
|
`litter_type` ENUM('plastic', 'metal', 'glass', 'organic', 'hazardous', 'other') NOT NULL,
|
||||||
|
`quantity` ENUM('minimal', 'moderate', 'significant', 'severe') NOT NULL,
|
||||||
|
`description` TEXT NULL,
|
||||||
|
`created_at` TIMESTAMP(0) NULL DEFAULT CURRENT_TIMESTAMP,
|
||||||
|
`updated_at` TIMESTAMP(0) NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
|
||||||
|
`submitted_at` TIMESTAMP(0) NULL DEFAULT CURRENT_TIMESTAMP,
|
||||||
|
`verification_status` ENUM('pending', 'verified', 'disputed') NULL DEFAULT 'pending',
|
||||||
|
|
||||||
|
INDEX `idx_created_at`(`created_at`),
|
||||||
|
INDEX `idx_lat_lng`(`latitude`, `longitude`),
|
||||||
|
INDEX `idx_litter_type`(`litter_type`),
|
||||||
|
SPATIAL INDEX `idx_location`(`location`),
|
||||||
|
INDEX `user_id`(`user_id`),
|
||||||
|
PRIMARY KEY (`id`)
|
||||||
|
) DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci ENGINE=InnoDB;
|
||||||
|
|
||||||
|
-- CreateTable
|
||||||
|
CREATE TABLE `events` (
|
||||||
|
`id` VARCHAR(36) NOT NULL DEFAULT (UUID()),
|
||||||
|
`organizer_id` VARCHAR(36) NOT NULL,
|
||||||
|
`title` VARCHAR(255) NOT NULL,
|
||||||
|
`description` TEXT NOT NULL,
|
||||||
|
`location` POINT NOT NULL SRID 4326,
|
||||||
|
`latitude` DECIMAL(10, 8) NOT NULL,
|
||||||
|
`longitude` DECIMAL(11, 8) NOT NULL,
|
||||||
|
`location_name` VARCHAR(255) NOT NULL,
|
||||||
|
`scheduled_date` TIMESTAMP(0) NOT NULL,
|
||||||
|
`duration` INTEGER NOT NULL COMMENT 'Duration in minutes',
|
||||||
|
`status` ENUM('upcoming', 'completed', 'cancelled') NULL DEFAULT 'upcoming',
|
||||||
|
`participant_count` INTEGER NULL DEFAULT 0,
|
||||||
|
`litter_collected` DECIMAL(10, 2) NULL COMMENT 'Kilograms collected',
|
||||||
|
`photos` JSON NULL,
|
||||||
|
`created_at` TIMESTAMP(0) NULL DEFAULT CURRENT_TIMESTAMP,
|
||||||
|
`updated_at` TIMESTAMP(0) NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
|
||||||
|
|
||||||
|
SPATIAL INDEX `idx_location`(`location`),
|
||||||
|
INDEX `idx_scheduled_date`(`scheduled_date`),
|
||||||
|
INDEX `idx_status`(`status`),
|
||||||
|
INDEX `organizer_id`(`organizer_id`),
|
||||||
|
PRIMARY KEY (`id`)
|
||||||
|
) DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci ENGINE=InnoDB;
|
||||||
|
|
||||||
|
-- CreateTable
|
||||||
|
CREATE TABLE `event_registrations` (
|
||||||
|
`id` VARCHAR(36) NOT NULL DEFAULT (UUID()),
|
||||||
|
`user_id` VARCHAR(36) NOT NULL,
|
||||||
|
`event_id` VARCHAR(36) NOT NULL,
|
||||||
|
`registered_at` TIMESTAMP(0) NULL DEFAULT CURRENT_TIMESTAMP,
|
||||||
|
`attended` BOOLEAN NULL DEFAULT false,
|
||||||
|
|
||||||
|
INDEX `event_id`(`event_id`),
|
||||||
|
UNIQUE INDEX `unique_user_event`(`user_id`, `event_id`),
|
||||||
|
PRIMARY KEY (`id`)
|
||||||
|
) DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci ENGINE=InnoDB;
|
||||||
|
|
||||||
|
-- CreateTable
|
||||||
|
CREATE TABLE `verifications` (
|
||||||
|
`id` VARCHAR(36) NOT NULL DEFAULT (UUID()),
|
||||||
|
`report_id` VARCHAR(36) NOT NULL,
|
||||||
|
`user_id` VARCHAR(36) NOT NULL,
|
||||||
|
`verification_type` ENUM('verify', 'dispute') NOT NULL,
|
||||||
|
`comment` TEXT NULL,
|
||||||
|
`created_at` TIMESTAMP(0) NULL DEFAULT CURRENT_TIMESTAMP,
|
||||||
|
|
||||||
|
INDEX `user_id`(`user_id`),
|
||||||
|
UNIQUE INDEX `unique_report_user`(`report_id`, `user_id`),
|
||||||
|
PRIMARY KEY (`id`)
|
||||||
|
) DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci ENGINE=InnoDB;
|
||||||
|
|
||||||
|
-- CreateTable
|
||||||
|
CREATE TABLE `environmental_concerns` (
|
||||||
|
`id` VARCHAR(36) NOT NULL DEFAULT (UUID()),
|
||||||
|
`report_id` VARCHAR(36) NOT NULL,
|
||||||
|
`concern_type` VARCHAR(100) NOT NULL COMMENT 'water_quality, erosion, wildlife_impact, algae_bloom, etc.',
|
||||||
|
`severity` ENUM('low', 'medium', 'high', 'critical') NOT NULL,
|
||||||
|
`description` TEXT NOT NULL,
|
||||||
|
`created_at` TIMESTAMP(0) NULL DEFAULT CURRENT_TIMESTAMP,
|
||||||
|
|
||||||
|
INDEX `idx_concern_type`(`concern_type`),
|
||||||
|
INDEX `report_id`(`report_id`),
|
||||||
|
PRIMARY KEY (`id`)
|
||||||
|
) DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci ENGINE=InnoDB;
|
||||||
|
|
||||||
|
-- CreateTable
|
||||||
|
CREATE TABLE `hotspots` (
|
||||||
|
`id` VARCHAR(36) NOT NULL 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` INTEGER NOT NULL,
|
||||||
|
`severity_score` DECIMAL(5, 2) NOT NULL,
|
||||||
|
`last_report_date` TIMESTAMP(0) NOT NULL,
|
||||||
|
`calculated_at` TIMESTAMP(0) NULL DEFAULT CURRENT_TIMESTAMP,
|
||||||
|
|
||||||
|
SPATIAL INDEX `idx_location`(`location`),
|
||||||
|
INDEX `idx_severity_score`(`severity_score`),
|
||||||
|
PRIMARY KEY (`id`)
|
||||||
|
) DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci ENGINE=InnoDB;
|
||||||
|
|
||||||
|
-- AddForeignKey
|
||||||
|
ALTER TABLE `reports` ADD CONSTRAINT `reports_ibfk_1` FOREIGN KEY (`user_id`) REFERENCES `users`(`id`) ON DELETE CASCADE ON UPDATE NO ACTION;
|
||||||
|
|
||||||
|
-- AddForeignKey
|
||||||
|
ALTER TABLE `events` ADD CONSTRAINT `events_ibfk_1` FOREIGN KEY (`organizer_id`) REFERENCES `users`(`id`) ON DELETE CASCADE ON UPDATE NO ACTION;
|
||||||
|
|
||||||
|
-- AddForeignKey
|
||||||
|
ALTER TABLE `event_registrations` ADD CONSTRAINT `event_registrations_ibfk_1` FOREIGN KEY (`user_id`) REFERENCES `users`(`id`) ON DELETE CASCADE ON UPDATE NO ACTION;
|
||||||
|
|
||||||
|
-- AddForeignKey
|
||||||
|
ALTER TABLE `event_registrations` ADD CONSTRAINT `event_registrations_ibfk_2` FOREIGN KEY (`event_id`) REFERENCES `events`(`id`) ON DELETE CASCADE ON UPDATE NO ACTION;
|
||||||
|
|
||||||
|
-- AddForeignKey
|
||||||
|
ALTER TABLE `verifications` ADD CONSTRAINT `verifications_ibfk_1` FOREIGN KEY (`report_id`) REFERENCES `reports`(`id`) ON DELETE CASCADE ON UPDATE NO ACTION;
|
||||||
|
|
||||||
|
-- AddForeignKey
|
||||||
|
ALTER TABLE `verifications` ADD CONSTRAINT `verifications_ibfk_2` FOREIGN KEY (`user_id`) REFERENCES `users`(`id`) ON DELETE CASCADE ON UPDATE NO ACTION;
|
||||||
|
|
||||||
|
-- AddForeignKey
|
||||||
|
ALTER TABLE `environmental_concerns` ADD CONSTRAINT `environmental_concerns_ibfk_1` FOREIGN KEY (`report_id`) REFERENCES `reports`(`id`) ON DELETE CASCADE ON UPDATE NO ACTION;
|
||||||
@@ -0,0 +1,13 @@
|
|||||||
|
-- AlterTable: Add clerk_id column and remove password_hash
|
||||||
|
ALTER TABLE `users` ADD COLUMN `clerk_id` VARCHAR(255) NULL;
|
||||||
|
|
||||||
|
-- Create unique index on clerk_id
|
||||||
|
CREATE UNIQUE INDEX `clerk_id` ON `users`(`clerk_id`);
|
||||||
|
|
||||||
|
-- Create index for clerk_id lookups
|
||||||
|
CREATE INDEX `idx_clerk_id` ON `users`(`clerk_id`);
|
||||||
|
|
||||||
|
-- Drop password_hash column (after data migration if needed)
|
||||||
|
-- Note: In production, you would first migrate existing users to Clerk before dropping this column
|
||||||
|
-- For now, we'll keep it to avoid data loss, but it should be removed after Clerk migration is complete
|
||||||
|
-- ALTER TABLE `users` DROP COLUMN `password_hash`;
|
||||||
3
server/prisma/migrations/migration_lock.toml
Normal file
3
server/prisma/migrations/migration_lock.toml
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
# Please do not edit this file manually
|
||||||
|
# It should be added in your version-control system (i.e. Git)
|
||||||
|
provider = "mysql"
|
||||||
@@ -21,11 +21,13 @@ model User {
|
|||||||
notificationEmail Boolean? @default(true) @map("notification_email")
|
notificationEmail Boolean? @default(true) @map("notification_email")
|
||||||
notificationInApp Boolean? @default(true) @map("notification_in_app")
|
notificationInApp Boolean? @default(true) @map("notification_in_app")
|
||||||
areasOfInterest Json? @map("areas_of_interest")
|
areasOfInterest Json? @map("areas_of_interest")
|
||||||
|
clerkId String? @unique(map: "clerk_id") @map("clerk_id") @db.VarChar(255)
|
||||||
eventRegistrations EventRegistration[]
|
eventRegistrations EventRegistration[]
|
||||||
organizedEvents Event[] @relation("EventOrganizer")
|
organizedEvents Event[] @relation("EventOrganizer")
|
||||||
reports Report[]
|
reports Report[]
|
||||||
verifications Verification[]
|
verifications Verification[]
|
||||||
|
|
||||||
|
@@index([clerkId], map: "idx_clerk_id")
|
||||||
@@index([email], map: "idx_email")
|
@@index([email], map: "idx_email")
|
||||||
@@index([username], map: "idx_username")
|
@@index([username], map: "idx_username")
|
||||||
@@map("users")
|
@@map("users")
|
||||||
|
|||||||
@@ -1,7 +1,55 @@
|
|||||||
|
/**
|
||||||
|
* Database configuration and Prisma client singleton
|
||||||
|
*/
|
||||||
|
|
||||||
import { PrismaClient } from '@prisma/client';
|
import { PrismaClient } from '@prisma/client';
|
||||||
|
|
||||||
const prisma = new PrismaClient({
|
// PrismaClient is attached to the `global` object in development to prevent
|
||||||
log: process.env.NODE_ENV === 'development' ? ['query', 'error', 'warn'] : ['error'],
|
// exhausting your database connection limit.
|
||||||
});
|
const globalForPrisma = global as unknown as { prisma: PrismaClient };
|
||||||
|
|
||||||
|
export const prisma =
|
||||||
|
globalForPrisma.prisma ||
|
||||||
|
new PrismaClient({
|
||||||
|
log: process.env.NODE_ENV === 'development' ? ['query', 'error', 'warn'] : ['error'],
|
||||||
|
});
|
||||||
|
|
||||||
|
if (process.env.NODE_ENV !== 'production') {
|
||||||
|
globalForPrisma.prisma = prisma;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Connect to the database
|
||||||
|
*/
|
||||||
|
export async function connectDatabase() {
|
||||||
|
try {
|
||||||
|
await prisma.$connect();
|
||||||
|
console.log('✅ Database connected successfully');
|
||||||
|
} catch (error) {
|
||||||
|
console.error('❌ Database connection failed:', error);
|
||||||
|
process.exit(1);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Disconnect from the database
|
||||||
|
*/
|
||||||
|
export async function disconnectDatabase() {
|
||||||
|
await prisma.$disconnect();
|
||||||
|
console.log('Database disconnected');
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Health check for database connection
|
||||||
|
*/
|
||||||
|
export async function checkDatabaseHealth(): Promise<boolean> {
|
||||||
|
try {
|
||||||
|
await prisma.$queryRaw`SELECT 1`;
|
||||||
|
return true;
|
||||||
|
} catch (error) {
|
||||||
|
console.error('Database health check failed:', error);
|
||||||
|
return false;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
export default prisma;
|
export default prisma;
|
||||||
|
|||||||
137
server/src/scripts/testDatabase.ts
Normal file
137
server/src/scripts/testDatabase.ts
Normal file
@@ -0,0 +1,137 @@
|
|||||||
|
/**
|
||||||
|
* Database connection and spatial support test script
|
||||||
|
* Run with: npx tsx src/scripts/testDatabase.ts
|
||||||
|
*/
|
||||||
|
|
||||||
|
import { prisma } from '../config/database';
|
||||||
|
import { isWithinIreland } from '../utils/spatial';
|
||||||
|
|
||||||
|
async function testDatabaseConnection() {
|
||||||
|
console.log('🔍 Testing database connection and spatial support...\n');
|
||||||
|
|
||||||
|
try {
|
||||||
|
// Test 1: Basic connection
|
||||||
|
console.log('1. Testing database connection...');
|
||||||
|
await prisma.$queryRaw`SELECT 1 as test`;
|
||||||
|
console.log(' ✅ Database connection successful\n');
|
||||||
|
|
||||||
|
// Test 2: Check MySQL version
|
||||||
|
console.log('2. Checking MySQL version...');
|
||||||
|
const version = await prisma.$queryRaw<Array<{ version: string }>>`SELECT VERSION() as version`;
|
||||||
|
console.log(` ✅ MySQL version: ${version[0].version}\n`);
|
||||||
|
|
||||||
|
// Test 3: Verify spatial support
|
||||||
|
console.log('3. Testing spatial support...');
|
||||||
|
const spatialTest = await prisma.$queryRaw<Array<{ point: string; distance: number }>>`
|
||||||
|
SELECT
|
||||||
|
ST_AsText(ST_GeomFromText('POINT(-6.2603 53.3498)', 4326)) as point,
|
||||||
|
ST_Distance_Sphere(
|
||||||
|
ST_GeomFromText('POINT(-6.2603 53.3498)', 4326),
|
||||||
|
ST_GeomFromText('POINT(-6.2603 53.3498)', 4326)
|
||||||
|
) as distance
|
||||||
|
`;
|
||||||
|
console.log(` ✅ Spatial functions working: ${spatialTest[0].point}\n`);
|
||||||
|
|
||||||
|
// Test 4: Check tables exist
|
||||||
|
console.log('4. Checking database tables...');
|
||||||
|
const tables = await prisma.$queryRaw<Array<{ table_name: string }>>`
|
||||||
|
SELECT table_name
|
||||||
|
FROM information_schema.tables
|
||||||
|
WHERE table_schema = DATABASE()
|
||||||
|
ORDER BY table_name
|
||||||
|
`;
|
||||||
|
console.log(` ✅ Found ${tables.length} tables:`);
|
||||||
|
tables.forEach(t => console.log(` - ${t.table_name}`));
|
||||||
|
console.log('');
|
||||||
|
|
||||||
|
// Test 5: Check spatial indexes
|
||||||
|
console.log('5. Checking spatial indexes...');
|
||||||
|
const spatialIndexes = await prisma.$queryRaw<Array<{
|
||||||
|
table_name: string;
|
||||||
|
index_name: string;
|
||||||
|
column_name: string;
|
||||||
|
}>>`
|
||||||
|
SELECT
|
||||||
|
table_name,
|
||||||
|
index_name,
|
||||||
|
column_name
|
||||||
|
FROM information_schema.statistics
|
||||||
|
WHERE table_schema = DATABASE()
|
||||||
|
AND index_type = 'SPATIAL'
|
||||||
|
ORDER BY table_name, index_name
|
||||||
|
`;
|
||||||
|
console.log(` ✅ Found ${spatialIndexes.length} spatial indexes:`);
|
||||||
|
spatialIndexes.forEach(idx =>
|
||||||
|
console.log(` - ${idx.table_name}.${idx.column_name} (${idx.index_name})`)
|
||||||
|
);
|
||||||
|
console.log('');
|
||||||
|
|
||||||
|
// Test 6: Check User table structure
|
||||||
|
console.log('6. Checking User table for Clerk support...');
|
||||||
|
const userColumns = await prisma.$queryRaw<Array<{
|
||||||
|
column_name: string;
|
||||||
|
data_type: string;
|
||||||
|
is_nullable: string;
|
||||||
|
}>>`
|
||||||
|
SELECT column_name, data_type, is_nullable
|
||||||
|
FROM information_schema.columns
|
||||||
|
WHERE table_schema = DATABASE()
|
||||||
|
AND table_name = 'users'
|
||||||
|
ORDER BY ordinal_position
|
||||||
|
`;
|
||||||
|
const hasClerkId = userColumns.some(col => col.column_name === 'clerk_id');
|
||||||
|
if (hasClerkId) {
|
||||||
|
console.log(' ✅ User table has clerk_id column (Clerk authentication ready)');
|
||||||
|
} else {
|
||||||
|
console.log(' ⚠️ User table missing clerk_id column');
|
||||||
|
}
|
||||||
|
console.log('');
|
||||||
|
|
||||||
|
// Test 7: Test coordinate validation
|
||||||
|
console.log('7. Testing coordinate validation...');
|
||||||
|
const dublinCoords = { lat: 53.3498, lng: -6.2603 };
|
||||||
|
const londonCoords = { lat: 51.5074, lng: -0.1278 };
|
||||||
|
|
||||||
|
console.log(` Dublin (${dublinCoords.lat}, ${dublinCoords.lng}): ${
|
||||||
|
isWithinIreland(dublinCoords.lat, dublinCoords.lng) ? '✅ Valid' : '❌ Invalid'
|
||||||
|
}`);
|
||||||
|
console.log(` London (${londonCoords.lat}, ${londonCoords.lng}): ${
|
||||||
|
isWithinIreland(londonCoords.lat, londonCoords.lng) ? '❌ Should be invalid' : '✅ Correctly rejected'
|
||||||
|
}`);
|
||||||
|
console.log('');
|
||||||
|
|
||||||
|
// Test 8: Count existing records
|
||||||
|
console.log('8. Checking existing data...');
|
||||||
|
const userCount = await prisma.user.count();
|
||||||
|
const reportCount = await prisma.report.count();
|
||||||
|
const eventCount = await prisma.event.count();
|
||||||
|
console.log(` Users: ${userCount}`);
|
||||||
|
console.log(` Reports: ${reportCount}`);
|
||||||
|
console.log(` Events: ${eventCount}`);
|
||||||
|
console.log('');
|
||||||
|
|
||||||
|
console.log('✅ All database tests passed!\n');
|
||||||
|
console.log('Database is ready for use with:');
|
||||||
|
console.log(' - MySQL 8.0+ with spatial support');
|
||||||
|
console.log(' - Clerk authentication (clerk_id field)');
|
||||||
|
console.log(' - Spatial indexes on location columns');
|
||||||
|
console.log(' - All required tables and relationships');
|
||||||
|
|
||||||
|
} catch (error) {
|
||||||
|
console.error('❌ Database test failed:', error);
|
||||||
|
throw error;
|
||||||
|
} finally {
|
||||||
|
await prisma.$disconnect();
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// Run the test
|
||||||
|
testDatabaseConnection()
|
||||||
|
.then(() => {
|
||||||
|
console.log('\n✅ Test completed successfully');
|
||||||
|
process.exit(0);
|
||||||
|
})
|
||||||
|
.catch((error) => {
|
||||||
|
console.error('\n❌ Test failed:', error);
|
||||||
|
process.exit(1);
|
||||||
|
});
|
||||||
315
server/src/utils/spatial.ts
Normal file
315
server/src/utils/spatial.ts
Normal file
@@ -0,0 +1,315 @@
|
|||||||
|
/**
|
||||||
|
* Spatial utility functions for working with MySQL spatial data types
|
||||||
|
* and performing geographical calculations
|
||||||
|
*/
|
||||||
|
|
||||||
|
import { PrismaClient } from '@prisma/client';
|
||||||
|
|
||||||
|
const prisma = new PrismaClient();
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Create a POINT geometry from latitude and longitude
|
||||||
|
* @param latitude - Latitude in decimal degrees
|
||||||
|
* @param longitude - Longitude in decimal degrees
|
||||||
|
* @returns SQL fragment for creating a POINT
|
||||||
|
*/
|
||||||
|
export function createPoint(latitude: number, longitude: number): string {
|
||||||
|
return `ST_GeomFromText('POINT(${longitude} ${latitude})', 4326)`;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Find reports within a radius of a given location
|
||||||
|
* @param latitude - Center latitude
|
||||||
|
* @param longitude - Center longitude
|
||||||
|
* @param radiusMeters - Radius in meters
|
||||||
|
* @param limit - Maximum number of results
|
||||||
|
* @returns Array of reports with distance
|
||||||
|
*/
|
||||||
|
export async function findReportsNearby(
|
||||||
|
latitude: number,
|
||||||
|
longitude: number,
|
||||||
|
radiusMeters: number,
|
||||||
|
limit: number = 50
|
||||||
|
) {
|
||||||
|
const results = await prisma.$queryRaw<Array<{
|
||||||
|
id: string;
|
||||||
|
user_id: string;
|
||||||
|
latitude: number;
|
||||||
|
longitude: number;
|
||||||
|
litter_type: string;
|
||||||
|
quantity: string;
|
||||||
|
distance: number;
|
||||||
|
}>>`
|
||||||
|
SELECT
|
||||||
|
id,
|
||||||
|
user_id,
|
||||||
|
latitude,
|
||||||
|
longitude,
|
||||||
|
litter_type,
|
||||||
|
quantity,
|
||||||
|
ST_Distance_Sphere(
|
||||||
|
location,
|
||||||
|
ST_GeomFromText(${`POINT(${longitude} ${latitude})`}, 4326)
|
||||||
|
) as distance
|
||||||
|
FROM reports
|
||||||
|
WHERE ST_Distance_Sphere(
|
||||||
|
location,
|
||||||
|
ST_GeomFromText(${`POINT(${longitude} ${latitude})`}, 4326)
|
||||||
|
) <= ${radiusMeters}
|
||||||
|
ORDER BY distance
|
||||||
|
LIMIT ${limit}
|
||||||
|
`;
|
||||||
|
|
||||||
|
return results;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Find events within a radius of a given location
|
||||||
|
* @param latitude - Center latitude
|
||||||
|
* @param longitude - Center longitude
|
||||||
|
* @param radiusMeters - Radius in meters
|
||||||
|
* @param limit - Maximum number of results
|
||||||
|
* @returns Array of events with distance
|
||||||
|
*/
|
||||||
|
export async function findEventsNearby(
|
||||||
|
latitude: number,
|
||||||
|
longitude: number,
|
||||||
|
radiusMeters: number,
|
||||||
|
limit: number = 50
|
||||||
|
) {
|
||||||
|
const results = await prisma.$queryRaw<Array<{
|
||||||
|
id: string;
|
||||||
|
title: string;
|
||||||
|
location_name: string;
|
||||||
|
latitude: number;
|
||||||
|
longitude: number;
|
||||||
|
scheduled_date: Date;
|
||||||
|
distance: number;
|
||||||
|
}>>`
|
||||||
|
SELECT
|
||||||
|
id,
|
||||||
|
title,
|
||||||
|
location_name,
|
||||||
|
latitude,
|
||||||
|
longitude,
|
||||||
|
scheduled_date,
|
||||||
|
ST_Distance_Sphere(
|
||||||
|
location,
|
||||||
|
ST_GeomFromText(${`POINT(${longitude} ${latitude})`}, 4326)
|
||||||
|
) as distance
|
||||||
|
FROM events
|
||||||
|
WHERE status = 'upcoming'
|
||||||
|
AND ST_Distance_Sphere(
|
||||||
|
location,
|
||||||
|
ST_GeomFromText(${`POINT(${longitude} ${latitude})`}, 4326)
|
||||||
|
) <= ${radiusMeters}
|
||||||
|
ORDER BY distance
|
||||||
|
LIMIT ${limit}
|
||||||
|
`;
|
||||||
|
|
||||||
|
return results;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Calculate hotspots based on report clustering
|
||||||
|
* Identifies areas with 5+ reports within 500m in the last 30 days
|
||||||
|
* @returns Array of hotspot locations with statistics
|
||||||
|
*/
|
||||||
|
export async function calculateHotspots() {
|
||||||
|
const results = await prisma.$queryRaw<Array<{
|
||||||
|
center_lat: number;
|
||||||
|
center_lng: number;
|
||||||
|
report_count: number;
|
||||||
|
avg_severity: number;
|
||||||
|
last_report_date: Date;
|
||||||
|
}>>`
|
||||||
|
SELECT
|
||||||
|
AVG(latitude) as center_lat,
|
||||||
|
AVG(longitude) as center_lng,
|
||||||
|
COUNT(*) as report_count,
|
||||||
|
AVG(CASE
|
||||||
|
WHEN quantity = 'minimal' THEN 1
|
||||||
|
WHEN quantity = 'moderate' THEN 2
|
||||||
|
WHEN quantity = 'significant' THEN 3
|
||||||
|
WHEN quantity = 'severe' THEN 4
|
||||||
|
ELSE 0
|
||||||
|
END) 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
|
||||||
|
ORDER BY report_count DESC, avg_severity DESC
|
||||||
|
`;
|
||||||
|
|
||||||
|
return results;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Calculate distance between two points in meters
|
||||||
|
* @param lat1 - First point latitude
|
||||||
|
* @param lon1 - First point longitude
|
||||||
|
* @param lat2 - Second point latitude
|
||||||
|
* @param lon2 - Second point longitude
|
||||||
|
* @returns Distance in meters
|
||||||
|
*/
|
||||||
|
export async function calculateDistance(
|
||||||
|
lat1: number,
|
||||||
|
lon1: number,
|
||||||
|
lat2: number,
|
||||||
|
lon2: number
|
||||||
|
): Promise<number> {
|
||||||
|
const result = await prisma.$queryRaw<Array<{ distance: number }>>`
|
||||||
|
SELECT ST_Distance_Sphere(
|
||||||
|
ST_GeomFromText(${`POINT(${lon1} ${lat1})`}, 4326),
|
||||||
|
ST_GeomFromText(${`POINT(${lon2} ${lat2})`}, 4326)
|
||||||
|
) as distance
|
||||||
|
`;
|
||||||
|
|
||||||
|
return result[0]?.distance || 0;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Validate if coordinates are within Irish boundaries
|
||||||
|
* Approximate bounding box for Ireland
|
||||||
|
* @param latitude - Latitude to validate
|
||||||
|
* @param longitude - Longitude to validate
|
||||||
|
* @returns True if coordinates are within Ireland
|
||||||
|
*/
|
||||||
|
export function isWithinIreland(latitude: number, longitude: number): boolean {
|
||||||
|
// Ireland bounding box (approximate)
|
||||||
|
const MIN_LAT = 51.4;
|
||||||
|
const MAX_LAT = 55.4;
|
||||||
|
const MIN_LNG = -10.5;
|
||||||
|
const MAX_LNG = -5.5;
|
||||||
|
|
||||||
|
return (
|
||||||
|
latitude >= MIN_LAT &&
|
||||||
|
latitude <= MAX_LAT &&
|
||||||
|
longitude >= MIN_LNG &&
|
||||||
|
longitude <= MAX_LNG
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Find reports within a bounding box
|
||||||
|
* @param minLat - Minimum latitude
|
||||||
|
* @param maxLat - Maximum latitude
|
||||||
|
* @param minLng - Minimum longitude
|
||||||
|
* @param maxLng - Maximum longitude
|
||||||
|
* @returns Array of reports within the bounding box
|
||||||
|
*/
|
||||||
|
export async function findReportsInBounds(
|
||||||
|
minLat: number,
|
||||||
|
maxLat: number,
|
||||||
|
minLng: number,
|
||||||
|
maxLng: number
|
||||||
|
) {
|
||||||
|
const results = await prisma.$queryRaw<Array<{
|
||||||
|
id: string;
|
||||||
|
latitude: number;
|
||||||
|
longitude: number;
|
||||||
|
litter_type: string;
|
||||||
|
quantity: string;
|
||||||
|
created_at: Date;
|
||||||
|
}>>`
|
||||||
|
SELECT
|
||||||
|
id,
|
||||||
|
latitude,
|
||||||
|
longitude,
|
||||||
|
litter_type,
|
||||||
|
quantity,
|
||||||
|
created_at
|
||||||
|
FROM reports
|
||||||
|
WHERE latitude BETWEEN ${minLat} AND ${maxLat}
|
||||||
|
AND longitude BETWEEN ${minLng} AND ${maxLng}
|
||||||
|
ORDER BY created_at DESC
|
||||||
|
`;
|
||||||
|
|
||||||
|
return results;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Insert a report with spatial data
|
||||||
|
* @param data - Report data including coordinates
|
||||||
|
* @returns Created report
|
||||||
|
*/
|
||||||
|
export async function createReportWithLocation(data: {
|
||||||
|
userId: string;
|
||||||
|
latitude: number;
|
||||||
|
longitude: number;
|
||||||
|
locationSource: string;
|
||||||
|
litterType: string;
|
||||||
|
quantity: string;
|
||||||
|
photoUrls: string[];
|
||||||
|
photoTimestamp?: Date;
|
||||||
|
description?: string;
|
||||||
|
}) {
|
||||||
|
// First create the report without the location POINT
|
||||||
|
const report = await prisma.$executeRaw`
|
||||||
|
INSERT INTO reports (
|
||||||
|
id, user_id, latitude, longitude, location, location_source,
|
||||||
|
litter_type, quantity, photo_urls, photo_timestamp, description
|
||||||
|
) VALUES (
|
||||||
|
UUID(),
|
||||||
|
${data.userId},
|
||||||
|
${data.latitude},
|
||||||
|
${data.longitude},
|
||||||
|
ST_GeomFromText(${`POINT(${data.longitude} ${data.latitude})`}, 4326),
|
||||||
|
${data.locationSource},
|
||||||
|
${data.litterType},
|
||||||
|
${data.quantity},
|
||||||
|
${JSON.stringify(data.photoUrls)},
|
||||||
|
${data.photoTimestamp || null},
|
||||||
|
${data.description || null}
|
||||||
|
)
|
||||||
|
`;
|
||||||
|
|
||||||
|
return report;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Update hotspots table with calculated data
|
||||||
|
* Should be run periodically (e.g., every 15 minutes)
|
||||||
|
*/
|
||||||
|
export async function updateHotspotsTable() {
|
||||||
|
// Clear old hotspots
|
||||||
|
await prisma.$executeRaw`DELETE FROM hotspots WHERE calculated_at < DATE_SUB(NOW(), INTERVAL 1 HOUR)`;
|
||||||
|
|
||||||
|
// Calculate and insert new hotspots
|
||||||
|
const hotspots = await calculateHotspots();
|
||||||
|
|
||||||
|
for (const hotspot of hotspots) {
|
||||||
|
const severityScore = hotspot.report_count * hotspot.avg_severity;
|
||||||
|
|
||||||
|
await prisma.$executeRaw`
|
||||||
|
INSERT INTO hotspots (
|
||||||
|
id, latitude, longitude, location, radius,
|
||||||
|
report_count, severity_score, last_report_date
|
||||||
|
) VALUES (
|
||||||
|
UUID(),
|
||||||
|
${hotspot.center_lat},
|
||||||
|
${hotspot.center_lng},
|
||||||
|
ST_GeomFromText(${`POINT(${hotspot.center_lng} ${hotspot.center_lat})`}, 4326),
|
||||||
|
500,
|
||||||
|
${hotspot.report_count},
|
||||||
|
${severityScore},
|
||||||
|
${hotspot.last_report_date}
|
||||||
|
)
|
||||||
|
`;
|
||||||
|
}
|
||||||
|
|
||||||
|
return hotspots.length;
|
||||||
|
}
|
||||||
|
|
||||||
|
export default {
|
||||||
|
createPoint,
|
||||||
|
findReportsNearby,
|
||||||
|
findEventsNearby,
|
||||||
|
calculateHotspots,
|
||||||
|
calculateDistance,
|
||||||
|
isWithinIreland,
|
||||||
|
findReportsInBounds,
|
||||||
|
createReportWithLocation,
|
||||||
|
updateHotspotsTable,
|
||||||
|
};
|
||||||
123
src/components/analytics/DateRangeSelector.tsx
Normal file
123
src/components/analytics/DateRangeSelector.tsx
Normal file
@@ -0,0 +1,123 @@
|
|||||||
|
import { useState } from 'react';
|
||||||
|
import type { DateRange } from '@/types';
|
||||||
|
|
||||||
|
interface DateRangeSelectorProps {
|
||||||
|
value: DateRange;
|
||||||
|
onChange: (range: DateRange) => void;
|
||||||
|
}
|
||||||
|
|
||||||
|
export function DateRangeSelector({ value, onChange }: DateRangeSelectorProps) {
|
||||||
|
const [startDate, setStartDate] = useState(
|
||||||
|
value.start.toISOString().split('T')[0]
|
||||||
|
);
|
||||||
|
const [endDate, setEndDate] = useState(
|
||||||
|
value.end.toISOString().split('T')[0]
|
||||||
|
);
|
||||||
|
|
||||||
|
const handleStartChange = (e: React.ChangeEvent<HTMLInputElement>) => {
|
||||||
|
const newStart = e.target.value;
|
||||||
|
setStartDate(newStart);
|
||||||
|
onChange({
|
||||||
|
start: new Date(newStart),
|
||||||
|
end: value.end,
|
||||||
|
});
|
||||||
|
};
|
||||||
|
|
||||||
|
const handleEndChange = (e: React.ChangeEvent<HTMLInputElement>) => {
|
||||||
|
const newEnd = e.target.value;
|
||||||
|
setEndDate(newEnd);
|
||||||
|
onChange({
|
||||||
|
start: value.start,
|
||||||
|
end: new Date(newEnd),
|
||||||
|
});
|
||||||
|
};
|
||||||
|
|
||||||
|
const handlePresetClick = (preset: 'week' | 'month' | 'quarter' | 'year') => {
|
||||||
|
const end = new Date();
|
||||||
|
const start = new Date();
|
||||||
|
|
||||||
|
switch (preset) {
|
||||||
|
case 'week':
|
||||||
|
start.setDate(end.getDate() - 7);
|
||||||
|
break;
|
||||||
|
case 'month':
|
||||||
|
start.setMonth(end.getMonth() - 1);
|
||||||
|
break;
|
||||||
|
case 'quarter':
|
||||||
|
start.setMonth(end.getMonth() - 3);
|
||||||
|
break;
|
||||||
|
case 'year':
|
||||||
|
start.setFullYear(end.getFullYear() - 1);
|
||||||
|
break;
|
||||||
|
}
|
||||||
|
|
||||||
|
setStartDate(start.toISOString().split('T')[0]);
|
||||||
|
setEndDate(end.toISOString().split('T')[0]);
|
||||||
|
onChange({ start, end });
|
||||||
|
};
|
||||||
|
|
||||||
|
return (
|
||||||
|
<div className="bg-white rounded-lg shadow p-4">
|
||||||
|
<h3 className="text-lg font-semibold text-gray-900 mb-4">Date Range</h3>
|
||||||
|
|
||||||
|
{/* Preset buttons */}
|
||||||
|
<div className="flex flex-wrap gap-2 mb-4">
|
||||||
|
<button
|
||||||
|
onClick={() => handlePresetClick('week')}
|
||||||
|
className="px-3 py-1 text-sm bg-gray-100 hover:bg-gray-200 rounded-md transition-colors"
|
||||||
|
>
|
||||||
|
Last 7 Days
|
||||||
|
</button>
|
||||||
|
<button
|
||||||
|
onClick={() => handlePresetClick('month')}
|
||||||
|
className="px-3 py-1 text-sm bg-gray-100 hover:bg-gray-200 rounded-md transition-colors"
|
||||||
|
>
|
||||||
|
Last Month
|
||||||
|
</button>
|
||||||
|
<button
|
||||||
|
onClick={() => handlePresetClick('quarter')}
|
||||||
|
className="px-3 py-1 text-sm bg-gray-100 hover:bg-gray-200 rounded-md transition-colors"
|
||||||
|
>
|
||||||
|
Last 3 Months
|
||||||
|
</button>
|
||||||
|
<button
|
||||||
|
onClick={() => handlePresetClick('year')}
|
||||||
|
className="px-3 py-1 text-sm bg-gray-100 hover:bg-gray-200 rounded-md transition-colors"
|
||||||
|
>
|
||||||
|
Last Year
|
||||||
|
</button>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
{/* Custom date inputs */}
|
||||||
|
<div className="grid grid-cols-1 sm:grid-cols-2 gap-4">
|
||||||
|
<div>
|
||||||
|
<label htmlFor="start-date" className="block text-sm font-medium text-gray-700 mb-1">
|
||||||
|
Start Date
|
||||||
|
</label>
|
||||||
|
<input
|
||||||
|
type="date"
|
||||||
|
id="start-date"
|
||||||
|
value={startDate}
|
||||||
|
onChange={handleStartChange}
|
||||||
|
max={endDate}
|
||||||
|
className="w-full px-3 py-2 border border-gray-300 rounded-md focus:outline-none focus:ring-2 focus:ring-blue-500"
|
||||||
|
/>
|
||||||
|
</div>
|
||||||
|
<div>
|
||||||
|
<label htmlFor="end-date" className="block text-sm font-medium text-gray-700 mb-1">
|
||||||
|
End Date
|
||||||
|
</label>
|
||||||
|
<input
|
||||||
|
type="date"
|
||||||
|
id="end-date"
|
||||||
|
value={endDate}
|
||||||
|
onChange={handleEndChange}
|
||||||
|
min={startDate}
|
||||||
|
max={new Date().toISOString().split('T')[0]}
|
||||||
|
className="w-full px-3 py-2 border border-gray-300 rounded-md focus:outline-none focus:ring-2 focus:ring-blue-500"
|
||||||
|
/>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
);
|
||||||
|
}
|
||||||
107
src/components/analytics/LitterTypeChart.tsx
Normal file
107
src/components/analytics/LitterTypeChart.tsx
Normal file
@@ -0,0 +1,107 @@
|
|||||||
|
import { PieChart, Pie, Cell, ResponsiveContainer, Legend, Tooltip } from 'recharts';
|
||||||
|
import type { LitterTypeDistribution } from '@/types';
|
||||||
|
|
||||||
|
interface LitterTypeChartProps {
|
||||||
|
data: LitterTypeDistribution[];
|
||||||
|
loading?: boolean;
|
||||||
|
}
|
||||||
|
|
||||||
|
const COLORS: Record<string, string> = {
|
||||||
|
plastic: '#3b82f6', // blue
|
||||||
|
metal: '#6b7280', // gray
|
||||||
|
glass: '#10b981', // green
|
||||||
|
organic: '#84cc16', // lime
|
||||||
|
hazardous: '#ef4444', // red
|
||||||
|
other: '#8b5cf6', // purple
|
||||||
|
};
|
||||||
|
|
||||||
|
const LITTER_TYPE_LABELS: Record<string, string> = {
|
||||||
|
plastic: 'Plastic',
|
||||||
|
metal: 'Metal',
|
||||||
|
glass: 'Glass',
|
||||||
|
organic: 'Organic',
|
||||||
|
hazardous: 'Hazardous',
|
||||||
|
other: 'Other',
|
||||||
|
};
|
||||||
|
|
||||||
|
export function LitterTypeChart({ data, loading }: LitterTypeChartProps) {
|
||||||
|
if (loading) {
|
||||||
|
return (
|
||||||
|
<div className="bg-white rounded-lg shadow p-6">
|
||||||
|
<div className="animate-pulse">
|
||||||
|
<div className="h-6 bg-gray-200 rounded w-1/3 mb-4" />
|
||||||
|
<div className="h-64 bg-gray-200 rounded" />
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
if (!data || data.length === 0) {
|
||||||
|
return (
|
||||||
|
<div className="bg-white rounded-lg shadow p-6">
|
||||||
|
<h3 className="text-lg font-semibold text-gray-900 mb-4">Litter Type Distribution</h3>
|
||||||
|
<div className="h-64 flex items-center justify-center text-gray-500">
|
||||||
|
No data available for the selected period
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
// Format data for the chart
|
||||||
|
const chartData = data.map(item => ({
|
||||||
|
name: LITTER_TYPE_LABELS[item.type] || item.type,
|
||||||
|
value: item.count,
|
||||||
|
percentage: item.percentage,
|
||||||
|
}));
|
||||||
|
|
||||||
|
const renderCustomLabel = (entry: { name: string; percentage: number }) => {
|
||||||
|
return `${entry.name}: ${entry.percentage.toFixed(1)}%`;
|
||||||
|
};
|
||||||
|
|
||||||
|
return (
|
||||||
|
<div className="bg-white rounded-lg shadow p-6">
|
||||||
|
<h3 className="text-lg font-semibold text-gray-900 mb-4">Litter Type Distribution</h3>
|
||||||
|
<ResponsiveContainer width="100%" height={300}>
|
||||||
|
<PieChart>
|
||||||
|
<Pie
|
||||||
|
data={chartData}
|
||||||
|
cx="50%"
|
||||||
|
cy="50%"
|
||||||
|
labelLine={false}
|
||||||
|
label={renderCustomLabel}
|
||||||
|
outerRadius={80}
|
||||||
|
fill="#8884d8"
|
||||||
|
dataKey="value"
|
||||||
|
>
|
||||||
|
{chartData.map((entry, index) => {
|
||||||
|
const litterType = data[index].type;
|
||||||
|
return (
|
||||||
|
<Cell
|
||||||
|
key={`cell-${index}`}
|
||||||
|
fill={COLORS[litterType] || '#8b5cf6'}
|
||||||
|
/>
|
||||||
|
);
|
||||||
|
})}
|
||||||
|
</Pie>
|
||||||
|
<Tooltip
|
||||||
|
formatter={(value: number, name: string, props: { payload: { percentage: number } }) => [
|
||||||
|
`${value} reports (${props.payload.percentage.toFixed(1)}%)`,
|
||||||
|
name
|
||||||
|
]}
|
||||||
|
contentStyle={{
|
||||||
|
backgroundColor: '#fff',
|
||||||
|
border: '1px solid #e5e7eb',
|
||||||
|
borderRadius: '0.5rem',
|
||||||
|
padding: '0.75rem'
|
||||||
|
}}
|
||||||
|
/>
|
||||||
|
<Legend
|
||||||
|
verticalAlign="bottom"
|
||||||
|
height={36}
|
||||||
|
wrapperStyle={{ paddingTop: '1rem' }}
|
||||||
|
/>
|
||||||
|
</PieChart>
|
||||||
|
</ResponsiveContainer>
|
||||||
|
</div>
|
||||||
|
);
|
||||||
|
}
|
||||||
93
src/components/analytics/QuantityChart.tsx
Normal file
93
src/components/analytics/QuantityChart.tsx
Normal file
@@ -0,0 +1,93 @@
|
|||||||
|
import { BarChart, Bar, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer, Cell } from 'recharts';
|
||||||
|
import type { QuantityAggregation } from '@/types';
|
||||||
|
|
||||||
|
interface QuantityChartProps {
|
||||||
|
data: QuantityAggregation[];
|
||||||
|
loading?: boolean;
|
||||||
|
}
|
||||||
|
|
||||||
|
const QUANTITY_COLORS: Record<string, string> = {
|
||||||
|
minimal: '#10b981', // green
|
||||||
|
moderate: '#f59e0b', // amber
|
||||||
|
significant: '#f97316', // orange
|
||||||
|
severe: '#ef4444', // red
|
||||||
|
};
|
||||||
|
|
||||||
|
const QUANTITY_LABELS: Record<string, string> = {
|
||||||
|
minimal: 'Minimal',
|
||||||
|
moderate: 'Moderate',
|
||||||
|
significant: 'Significant',
|
||||||
|
severe: 'Severe',
|
||||||
|
};
|
||||||
|
|
||||||
|
export function QuantityChart({ data, loading }: QuantityChartProps) {
|
||||||
|
if (loading) {
|
||||||
|
return (
|
||||||
|
<div className="bg-white rounded-lg shadow p-6">
|
||||||
|
<div className="animate-pulse">
|
||||||
|
<div className="h-6 bg-gray-200 rounded w-1/3 mb-4" />
|
||||||
|
<div className="h-64 bg-gray-200 rounded" />
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
if (!data || data.length === 0) {
|
||||||
|
return (
|
||||||
|
<div className="bg-white rounded-lg shadow p-6">
|
||||||
|
<h3 className="text-lg font-semibold text-gray-900 mb-4">Quantity Estimation</h3>
|
||||||
|
<div className="h-64 flex items-center justify-center text-gray-500">
|
||||||
|
No data available for the selected period
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
// Format data for the chart
|
||||||
|
const chartData = data.map(item => ({
|
||||||
|
name: QUANTITY_LABELS[item.quantity] || item.quantity,
|
||||||
|
count: item.count,
|
||||||
|
percentage: item.percentage,
|
||||||
|
quantity: item.quantity,
|
||||||
|
}));
|
||||||
|
|
||||||
|
return (
|
||||||
|
<div className="bg-white rounded-lg shadow p-6">
|
||||||
|
<h3 className="text-lg font-semibold text-gray-900 mb-4">Litter Quantity Distribution</h3>
|
||||||
|
<ResponsiveContainer width="100%" height={300}>
|
||||||
|
<BarChart data={chartData} margin={{ top: 5, right: 30, left: 20, bottom: 5 }}>
|
||||||
|
<CartesianGrid strokeDasharray="3 3" stroke="#e5e7eb" />
|
||||||
|
<XAxis
|
||||||
|
dataKey="name"
|
||||||
|
stroke="#6b7280"
|
||||||
|
style={{ fontSize: '12px' }}
|
||||||
|
/>
|
||||||
|
<YAxis
|
||||||
|
stroke="#6b7280"
|
||||||
|
style={{ fontSize: '12px' }}
|
||||||
|
/>
|
||||||
|
<Tooltip
|
||||||
|
formatter={(value: number, name: string, props: { payload: { percentage: number } }) => [
|
||||||
|
`${value} reports (${props.payload.percentage.toFixed(1)}%)`,
|
||||||
|
'Count'
|
||||||
|
]}
|
||||||
|
contentStyle={{
|
||||||
|
backgroundColor: '#fff',
|
||||||
|
border: '1px solid #e5e7eb',
|
||||||
|
borderRadius: '0.5rem',
|
||||||
|
padding: '0.75rem'
|
||||||
|
}}
|
||||||
|
/>
|
||||||
|
<Bar dataKey="count" radius={[8, 8, 0, 0]}>
|
||||||
|
{chartData.map((entry, index) => (
|
||||||
|
<Cell
|
||||||
|
key={`cell-${index}`}
|
||||||
|
fill={QUANTITY_COLORS[entry.quantity] || '#8b5cf6'}
|
||||||
|
/>
|
||||||
|
))}
|
||||||
|
</Bar>
|
||||||
|
</BarChart>
|
||||||
|
</ResponsiveContainer>
|
||||||
|
</div>
|
||||||
|
);
|
||||||
|
}
|
||||||
39
src/components/analytics/StatCard.tsx
Normal file
39
src/components/analytics/StatCard.tsx
Normal file
@@ -0,0 +1,39 @@
|
|||||||
|
interface StatCardProps {
|
||||||
|
title: string;
|
||||||
|
value: number | string;
|
||||||
|
icon?: React.ReactNode;
|
||||||
|
trend?: {
|
||||||
|
value: number;
|
||||||
|
isPositive: boolean;
|
||||||
|
};
|
||||||
|
subtitle?: string;
|
||||||
|
}
|
||||||
|
|
||||||
|
export function StatCard({ title, value, icon, trend, subtitle }: StatCardProps) {
|
||||||
|
return (
|
||||||
|
<div className="bg-white rounded-lg shadow p-6">
|
||||||
|
<div className="flex items-center justify-between mb-2">
|
||||||
|
<h3 className="text-sm font-medium text-gray-600">{title}</h3>
|
||||||
|
{icon && <div className="text-gray-400">{icon}</div>}
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div className="flex items-baseline gap-2">
|
||||||
|
<p className="text-3xl font-bold text-gray-900">{value}</p>
|
||||||
|
|
||||||
|
{trend && (
|
||||||
|
<span
|
||||||
|
className={`text-sm font-medium ${
|
||||||
|
trend.isPositive ? 'text-green-600' : 'text-red-600'
|
||||||
|
}`}
|
||||||
|
>
|
||||||
|
{trend.isPositive ? '↑' : '↓'} {Math.abs(trend.value)}%
|
||||||
|
</span>
|
||||||
|
)}
|
||||||
|
</div>
|
||||||
|
|
||||||
|
{subtitle && (
|
||||||
|
<p className="text-sm text-gray-500 mt-1">{subtitle}</p>
|
||||||
|
)}
|
||||||
|
</div>
|
||||||
|
);
|
||||||
|
}
|
||||||
82
src/components/analytics/TimeSeriesChart.tsx
Normal file
82
src/components/analytics/TimeSeriesChart.tsx
Normal file
@@ -0,0 +1,82 @@
|
|||||||
|
import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer } from 'recharts';
|
||||||
|
import type { TimeSeriesDataPoint } from '@/types';
|
||||||
|
|
||||||
|
interface TimeSeriesChartProps {
|
||||||
|
data: TimeSeriesDataPoint[];
|
||||||
|
loading?: boolean;
|
||||||
|
}
|
||||||
|
|
||||||
|
export function TimeSeriesChart({ data, loading }: TimeSeriesChartProps) {
|
||||||
|
if (loading) {
|
||||||
|
return (
|
||||||
|
<div className="bg-white rounded-lg shadow p-6">
|
||||||
|
<div className="animate-pulse">
|
||||||
|
<div className="h-6 bg-gray-200 rounded w-1/3 mb-4" />
|
||||||
|
<div className="h-64 bg-gray-200 rounded" />
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
if (!data || data.length === 0) {
|
||||||
|
return (
|
||||||
|
<div className="bg-white rounded-lg shadow p-6">
|
||||||
|
<h3 className="text-lg font-semibold text-gray-900 mb-4">Report Trends</h3>
|
||||||
|
<div className="h-64 flex items-center justify-center text-gray-500">
|
||||||
|
No data available for the selected period
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
return (
|
||||||
|
<div className="bg-white rounded-lg shadow p-6">
|
||||||
|
<h3 className="text-lg font-semibold text-gray-900 mb-4">Report Trends Over Time</h3>
|
||||||
|
<ResponsiveContainer width="100%" height={300}>
|
||||||
|
<LineChart data={data} margin={{ top: 5, right: 30, left: 20, bottom: 5 }}>
|
||||||
|
<CartesianGrid strokeDasharray="3 3" stroke="#e5e7eb" />
|
||||||
|
<XAxis
|
||||||
|
dataKey="date"
|
||||||
|
stroke="#6b7280"
|
||||||
|
style={{ fontSize: '12px' }}
|
||||||
|
/>
|
||||||
|
<YAxis
|
||||||
|
stroke="#6b7280"
|
||||||
|
style={{ fontSize: '12px' }}
|
||||||
|
/>
|
||||||
|
<Tooltip
|
||||||
|
contentStyle={{
|
||||||
|
backgroundColor: '#fff',
|
||||||
|
border: '1px solid #e5e7eb',
|
||||||
|
borderRadius: '0.5rem',
|
||||||
|
padding: '0.75rem'
|
||||||
|
}}
|
||||||
|
/>
|
||||||
|
<Legend
|
||||||
|
wrapperStyle={{ paddingTop: '1rem' }}
|
||||||
|
/>
|
||||||
|
<Line
|
||||||
|
type="monotone"
|
||||||
|
dataKey="reports"
|
||||||
|
stroke="#3b82f6"
|
||||||
|
strokeWidth={2}
|
||||||
|
name="Reports"
|
||||||
|
dot={{ fill: '#3b82f6', r: 4 }}
|
||||||
|
activeDot={{ r: 6 }}
|
||||||
|
/>
|
||||||
|
{data.some(d => d.events !== undefined) && (
|
||||||
|
<Line
|
||||||
|
type="monotone"
|
||||||
|
dataKey="events"
|
||||||
|
stroke="#10b981"
|
||||||
|
strokeWidth={2}
|
||||||
|
name="Events"
|
||||||
|
dot={{ fill: '#10b981', r: 4 }}
|
||||||
|
activeDot={{ r: 6 }}
|
||||||
|
/>
|
||||||
|
)}
|
||||||
|
</LineChart>
|
||||||
|
</ResponsiveContainer>
|
||||||
|
</div>
|
||||||
|
);
|
||||||
|
}
|
||||||
5
src/components/analytics/index.ts
Normal file
5
src/components/analytics/index.ts
Normal file
@@ -0,0 +1,5 @@
|
|||||||
|
export { DateRangeSelector } from './DateRangeSelector';
|
||||||
|
export { StatCard } from './StatCard';
|
||||||
|
export { TimeSeriesChart } from './TimeSeriesChart';
|
||||||
|
export { LitterTypeChart } from './LitterTypeChart';
|
||||||
|
export { QuantityChart } from './QuantityChart';
|
||||||
@@ -1,14 +1,292 @@
|
|||||||
|
import { useState, useEffect } from 'react';
|
||||||
|
import { DateRangeSelector, StatCard, TimeSeriesChart, LitterTypeChart, QuantityChart } from '@/components/analytics';
|
||||||
|
import { analyticsService } from '@/services';
|
||||||
|
import type { DateRange, AnalyticsSummary, TimeSeriesDataPoint, LitterTypeDistribution, QuantityAggregation } from '@/types';
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* Analytics page - placeholder for task 10-12
|
* Analytics Dashboard Page
|
||||||
|
* Displays summary statistics, date range filtering, and CSV export functionality
|
||||||
*/
|
*/
|
||||||
export function AnalyticsPage() {
|
export function AnalyticsPage() {
|
||||||
|
const [dateRange, setDateRange] = useState<DateRange>(() => {
|
||||||
|
const end = new Date();
|
||||||
|
const start = new Date();
|
||||||
|
start.setMonth(end.getMonth() - 1); // Default to last month
|
||||||
|
return { start, end };
|
||||||
|
});
|
||||||
|
|
||||||
|
const [summary, setSummary] = useState<AnalyticsSummary | null>(null);
|
||||||
|
const [timeSeriesData, setTimeSeriesData] = useState<TimeSeriesDataPoint[]>([]);
|
||||||
|
const [litterTypeData, setLitterTypeData] = useState<LitterTypeDistribution[]>([]);
|
||||||
|
const [quantityData, setQuantityData] = useState<QuantityAggregation[]>([]);
|
||||||
|
const [loading, setLoading] = useState(true);
|
||||||
|
const [chartsLoading, setChartsLoading] = useState(true);
|
||||||
|
const [error, setError] = useState<string | null>(null);
|
||||||
|
const [exporting, setExporting] = useState(false);
|
||||||
|
|
||||||
|
useEffect(() => {
|
||||||
|
loadSummary();
|
||||||
|
loadChartData();
|
||||||
|
}, [dateRange]);
|
||||||
|
|
||||||
|
const loadSummary = async () => {
|
||||||
|
try {
|
||||||
|
setLoading(true);
|
||||||
|
setError(null);
|
||||||
|
const data = await analyticsService.getSummary({
|
||||||
|
start: dateRange.start.toISOString(),
|
||||||
|
end: dateRange.end.toISOString(),
|
||||||
|
});
|
||||||
|
setSummary(data);
|
||||||
|
} catch (err) {
|
||||||
|
// If API is not available yet, show mock data for development
|
||||||
|
console.warn('Analytics API not available, using mock data:', err);
|
||||||
|
setSummary({
|
||||||
|
totalReports: 0,
|
||||||
|
totalEvents: 0,
|
||||||
|
totalUsers: 0,
|
||||||
|
totalLitterCollected: 0,
|
||||||
|
});
|
||||||
|
setError('Analytics API not yet implemented. Showing placeholder data.');
|
||||||
|
} finally {
|
||||||
|
setLoading(false);
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
const loadChartData = async () => {
|
||||||
|
try {
|
||||||
|
setChartsLoading(true);
|
||||||
|
const dateRangeParam = {
|
||||||
|
start: dateRange.start.toISOString(),
|
||||||
|
end: dateRange.end.toISOString(),
|
||||||
|
};
|
||||||
|
|
||||||
|
// Load all chart data in parallel
|
||||||
|
const [timeSeries, litterTypes, quantities] = await Promise.all([
|
||||||
|
analyticsService.getTimeSeries(dateRangeParam),
|
||||||
|
analyticsService.getLitterTypeDistribution(dateRangeParam),
|
||||||
|
analyticsService.getQuantityAggregation(dateRangeParam),
|
||||||
|
]);
|
||||||
|
|
||||||
|
setTimeSeriesData(timeSeries);
|
||||||
|
setLitterTypeData(litterTypes);
|
||||||
|
setQuantityData(quantities);
|
||||||
|
} catch (err) {
|
||||||
|
// If API is not available yet, show mock data for development
|
||||||
|
console.warn('Chart data API not available, using mock data:', err);
|
||||||
|
|
||||||
|
// Generate mock time series data
|
||||||
|
const mockTimeSeries: TimeSeriesDataPoint[] = [];
|
||||||
|
const daysDiff = Math.ceil((dateRange.end.getTime() - dateRange.start.getTime()) / (1000 * 60 * 60 * 24));
|
||||||
|
const dataPoints = Math.min(daysDiff, 30); // Max 30 data points
|
||||||
|
|
||||||
|
for (let i = 0; i < dataPoints; i++) {
|
||||||
|
const date = new Date(dateRange.start);
|
||||||
|
date.setDate(date.getDate() + Math.floor(i * daysDiff / dataPoints));
|
||||||
|
mockTimeSeries.push({
|
||||||
|
date: date.toLocaleDateString('en-US', { month: 'short', day: 'numeric' }),
|
||||||
|
reports: Math.floor(Math.random() * 20) + 5,
|
||||||
|
events: Math.floor(Math.random() * 5),
|
||||||
|
});
|
||||||
|
}
|
||||||
|
setTimeSeriesData(mockTimeSeries);
|
||||||
|
|
||||||
|
// Generate mock litter type distribution
|
||||||
|
const mockLitterTypes: LitterTypeDistribution[] = [
|
||||||
|
{ type: 'plastic', count: 45, percentage: 45 },
|
||||||
|
{ type: 'metal', count: 15, percentage: 15 },
|
||||||
|
{ type: 'glass', count: 12, percentage: 12 },
|
||||||
|
{ type: 'organic', count: 10, percentage: 10 },
|
||||||
|
{ type: 'hazardous', count: 8, percentage: 8 },
|
||||||
|
{ type: 'other', count: 10, percentage: 10 },
|
||||||
|
];
|
||||||
|
setLitterTypeData(mockLitterTypes);
|
||||||
|
|
||||||
|
// Generate mock quantity aggregation
|
||||||
|
const mockQuantities: QuantityAggregation[] = [
|
||||||
|
{ quantity: 'minimal', count: 30, percentage: 30 },
|
||||||
|
{ quantity: 'moderate', count: 40, percentage: 40 },
|
||||||
|
{ quantity: 'significant', count: 20, percentage: 20 },
|
||||||
|
{ quantity: 'severe', count: 10, percentage: 10 },
|
||||||
|
];
|
||||||
|
setQuantityData(mockQuantities);
|
||||||
|
} finally {
|
||||||
|
setChartsLoading(false);
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
const handleExportCSV = async () => {
|
||||||
|
try {
|
||||||
|
setExporting(true);
|
||||||
|
const blob = await analyticsService.exportToCSV({
|
||||||
|
start: dateRange.start.toISOString(),
|
||||||
|
end: dateRange.end.toISOString(),
|
||||||
|
});
|
||||||
|
|
||||||
|
// Create download link
|
||||||
|
const url = window.URL.createObjectURL(blob);
|
||||||
|
const a = document.createElement('a');
|
||||||
|
a.href = url;
|
||||||
|
a.download = `beach-litter-analytics-${dateRange.start.toISOString().split('T')[0]}-to-${dateRange.end.toISOString().split('T')[0]}.csv`;
|
||||||
|
document.body.appendChild(a);
|
||||||
|
a.click();
|
||||||
|
window.URL.revokeObjectURL(url);
|
||||||
|
document.body.removeChild(a);
|
||||||
|
} catch (err) {
|
||||||
|
console.error('Failed to export CSV:', err);
|
||||||
|
alert('Export feature not yet available. The analytics API endpoints will be implemented in task 27.');
|
||||||
|
} finally {
|
||||||
|
setExporting(false);
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
return (
|
return (
|
||||||
<div className="max-w-7xl mx-auto py-6 px-4 sm:px-6 lg:px-8">
|
<div className="max-w-7xl mx-auto py-6 px-4 sm:px-6 lg:px-8">
|
||||||
<h2 className="text-2xl font-bold text-gray-900 mb-4">Analytics Dashboard</h2>
|
{/* Header */}
|
||||||
<div className="bg-white rounded-lg shadow p-8">
|
<div className="flex flex-col sm:flex-row sm:items-center sm:justify-between mb-6">
|
||||||
<p className="text-gray-500">
|
<h1 className="text-3xl font-bold text-gray-900 mb-4 sm:mb-0">
|
||||||
Analytics dashboard will be implemented in tasks 10-12
|
Analytics Dashboard
|
||||||
</p>
|
</h1>
|
||||||
|
<button
|
||||||
|
onClick={handleExportCSV}
|
||||||
|
disabled={exporting || loading}
|
||||||
|
className="inline-flex items-center px-4 py-2 bg-blue-600 text-white rounded-md hover:bg-blue-700 disabled:bg-gray-400 disabled:cursor-not-allowed transition-colors"
|
||||||
|
>
|
||||||
|
{exporting ? (
|
||||||
|
<>
|
||||||
|
<svg className="animate-spin -ml-1 mr-2 h-4 w-4 text-white" fill="none" viewBox="0 0 24 24">
|
||||||
|
<circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4" />
|
||||||
|
<path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z" />
|
||||||
|
</svg>
|
||||||
|
Exporting...
|
||||||
|
</>
|
||||||
|
) : (
|
||||||
|
<>
|
||||||
|
<svg className="w-4 h-4 mr-2" fill="none" stroke="currentColor" viewBox="0 0 24 24">
|
||||||
|
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M12 10v6m0 0l-3-3m3 3l3-3m2 8H7a2 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>
|
||||||
|
Export to CSV
|
||||||
|
</>
|
||||||
|
)}
|
||||||
|
</button>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
{/* Date Range Selector */}
|
||||||
|
<div className="mb-6">
|
||||||
|
<DateRangeSelector value={dateRange} onChange={setDateRange} />
|
||||||
|
</div>
|
||||||
|
|
||||||
|
{/* Info/Warning State */}
|
||||||
|
{error && (
|
||||||
|
<div className="bg-yellow-50 border border-yellow-200 rounded-lg p-4 mb-6">
|
||||||
|
<div className="flex items-center">
|
||||||
|
<svg className="w-5 h-5 text-yellow-600 mr-2 flex-shrink-0" fill="currentColor" viewBox="0 0 20 20">
|
||||||
|
<path fillRule="evenodd" d="M8.257 3.099c.765-1.36 2.722-1.36 3.486 0l5.58 9.92c.75 1.334-.213 2.98-1.742 2.98H4.42c-1.53 0-2.493-1.646-1.743-2.98l5.58-9.92zM11 13a1 1 0 11-2 0 1 1 0 012 0zm-1-8a1 1 0 00-1 1v3a1 1 0 002 0V6a1 1 0 00-1-1z" clipRule="evenodd" />
|
||||||
|
</svg>
|
||||||
|
<p className="text-yellow-800">{error}</p>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
)}
|
||||||
|
|
||||||
|
{/* Loading State */}
|
||||||
|
{loading && (
|
||||||
|
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-4 gap-6">
|
||||||
|
{[1, 2, 3, 4].map((i) => (
|
||||||
|
<div key={i} className="bg-white rounded-lg shadow p-6 animate-pulse">
|
||||||
|
<div className="h-4 bg-gray-200 rounded w-1/2 mb-4" />
|
||||||
|
<div className="h-8 bg-gray-200 rounded w-3/4" />
|
||||||
|
</div>
|
||||||
|
))}
|
||||||
|
</div>
|
||||||
|
)}
|
||||||
|
|
||||||
|
{/* Summary Statistics */}
|
||||||
|
{!loading && summary && (
|
||||||
|
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-4 gap-6">
|
||||||
|
<StatCard
|
||||||
|
title="Total Reports"
|
||||||
|
value={summary.totalReports.toLocaleString()}
|
||||||
|
icon={
|
||||||
|
<svg className="w-6 h-6" fill="none" stroke="currentColor" viewBox="0 0 24 24">
|
||||||
|
<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>
|
||||||
|
}
|
||||||
|
trend={
|
||||||
|
summary.periodComparison
|
||||||
|
? {
|
||||||
|
value: summary.periodComparison.reports,
|
||||||
|
isPositive: summary.periodComparison.reports > 0,
|
||||||
|
}
|
||||||
|
: undefined
|
||||||
|
}
|
||||||
|
subtitle="Litter reports submitted"
|
||||||
|
/>
|
||||||
|
|
||||||
|
<StatCard
|
||||||
|
title="Total Events"
|
||||||
|
value={summary.totalEvents.toLocaleString()}
|
||||||
|
icon={
|
||||||
|
<svg className="w-6 h-6" fill="none" stroke="currentColor" viewBox="0 0 24 24">
|
||||||
|
<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>
|
||||||
|
}
|
||||||
|
trend={
|
||||||
|
summary.periodComparison
|
||||||
|
? {
|
||||||
|
value: summary.periodComparison.events,
|
||||||
|
isPositive: summary.periodComparison.events > 0,
|
||||||
|
}
|
||||||
|
: undefined
|
||||||
|
}
|
||||||
|
subtitle="Cleanup events organized"
|
||||||
|
/>
|
||||||
|
|
||||||
|
<StatCard
|
||||||
|
title="Active Users"
|
||||||
|
value={summary.totalUsers.toLocaleString()}
|
||||||
|
icon={
|
||||||
|
<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" />
|
||||||
|
</svg>
|
||||||
|
}
|
||||||
|
trend={
|
||||||
|
summary.periodComparison
|
||||||
|
? {
|
||||||
|
value: summary.periodComparison.users,
|
||||||
|
isPositive: summary.periodComparison.users > 0,
|
||||||
|
}
|
||||||
|
: undefined
|
||||||
|
}
|
||||||
|
subtitle="Contributing to the platform"
|
||||||
|
/>
|
||||||
|
|
||||||
|
<StatCard
|
||||||
|
title="Litter Collected"
|
||||||
|
value={
|
||||||
|
summary.totalLitterCollected
|
||||||
|
? `${summary.totalLitterCollected.toLocaleString()} kg`
|
||||||
|
: 'N/A'
|
||||||
|
}
|
||||||
|
icon={
|
||||||
|
<svg className="w-6 h-6" fill="none" stroke="currentColor" viewBox="0 0 24 24">
|
||||||
|
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 7l-.867 12.142A2 2 0 0116.138 21H7.862a2 2 0 01-1.995-1.858L5 7m5 4v6m4-6v6m1-10V4a1 1 0 00-1-1h-4a1 1 0 00-1 1v3M4 7h16" />
|
||||||
|
</svg>
|
||||||
|
}
|
||||||
|
subtitle="From cleanup events"
|
||||||
|
/>
|
||||||
|
</div>
|
||||||
|
)}
|
||||||
|
|
||||||
|
{/* Data Visualizations */}
|
||||||
|
<div className="mt-8 space-y-6">
|
||||||
|
{/* Time Series Chart */}
|
||||||
|
<TimeSeriesChart data={timeSeriesData} loading={chartsLoading} />
|
||||||
|
|
||||||
|
{/* Litter Type and Quantity Charts - Side by Side on Desktop */}
|
||||||
|
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
|
||||||
|
<LitterTypeChart data={litterTypeData} loading={chartsLoading} />
|
||||||
|
<QuantityChart data={quantityData} loading={chartsLoading} />
|
||||||
|
</div>
|
||||||
</div>
|
</div>
|
||||||
</div>
|
</div>
|
||||||
);
|
);
|
||||||
|
|||||||
96
src/services/analyticsService.ts
Normal file
96
src/services/analyticsService.ts
Normal file
@@ -0,0 +1,96 @@
|
|||||||
|
// Analytics service for API interactions
|
||||||
|
import { apiClient } from './api';
|
||||||
|
import type { AnalyticsSummary, TimeSeriesDataPoint, LitterTypeDistribution, QuantityAggregation } from '@/types';
|
||||||
|
|
||||||
|
class AnalyticsService {
|
||||||
|
/**
|
||||||
|
* Get summary statistics for the analytics dashboard
|
||||||
|
*/
|
||||||
|
async getSummary(dateRange?: { start: string; end: string }): Promise<AnalyticsSummary> {
|
||||||
|
const params = new URLSearchParams();
|
||||||
|
|
||||||
|
if (dateRange) {
|
||||||
|
params.append('startDate', dateRange.start);
|
||||||
|
params.append('endDate', dateRange.end);
|
||||||
|
}
|
||||||
|
|
||||||
|
const queryString = params.toString();
|
||||||
|
return apiClient.get<AnalyticsSummary>(`/analytics/summary${queryString ? `?${queryString}` : ''}`);
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Get time series data for report trends
|
||||||
|
*/
|
||||||
|
async getTimeSeries(dateRange?: { start: string; end: string }): Promise<TimeSeriesDataPoint[]> {
|
||||||
|
const params = new URLSearchParams();
|
||||||
|
|
||||||
|
if (dateRange) {
|
||||||
|
params.append('startDate', dateRange.start);
|
||||||
|
params.append('endDate', dateRange.end);
|
||||||
|
}
|
||||||
|
|
||||||
|
const queryString = params.toString();
|
||||||
|
return apiClient.get<TimeSeriesDataPoint[]>(`/analytics/trends${queryString ? `?${queryString}` : ''}`);
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Get litter type distribution data
|
||||||
|
*/
|
||||||
|
async getLitterTypeDistribution(dateRange?: { start: string; end: string }): Promise<LitterTypeDistribution[]> {
|
||||||
|
const params = new URLSearchParams();
|
||||||
|
|
||||||
|
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
|
||||||
|
*/
|
||||||
|
async getQuantityAggregation(dateRange?: { start: string; end: string }): Promise<QuantityAggregation[]> {
|
||||||
|
const params = new URLSearchParams();
|
||||||
|
|
||||||
|
if (dateRange) {
|
||||||
|
params.append('startDate', dateRange.start);
|
||||||
|
params.append('endDate', dateRange.end);
|
||||||
|
}
|
||||||
|
|
||||||
|
const queryString = params.toString();
|
||||||
|
return apiClient.get<QuantityAggregation[]>(`/analytics/quantities${queryString ? `?${queryString}` : ''}`);
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Export analytics data to CSV
|
||||||
|
*/
|
||||||
|
async exportToCSV(dateRange?: { start: string; end: string }): Promise<Blob> {
|
||||||
|
const params = new URLSearchParams();
|
||||||
|
|
||||||
|
if (dateRange) {
|
||||||
|
params.append('startDate', dateRange.start);
|
||||||
|
params.append('endDate', dateRange.end);
|
||||||
|
}
|
||||||
|
|
||||||
|
const queryString = params.toString();
|
||||||
|
const response = await fetch(
|
||||||
|
`${import.meta.env.VITE_API_BASE_URL || 'http://localhost:3000/api'}/analytics/export${queryString ? `?${queryString}` : ''}`,
|
||||||
|
{
|
||||||
|
method: 'GET',
|
||||||
|
headers: {
|
||||||
|
'Accept': 'text/csv',
|
||||||
|
},
|
||||||
|
}
|
||||||
|
);
|
||||||
|
|
||||||
|
if (!response.ok) {
|
||||||
|
throw new Error('Failed to export data');
|
||||||
|
}
|
||||||
|
|
||||||
|
return response.blob();
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
export const analyticsService = new AnalyticsService();
|
||||||
@@ -1,5 +1,6 @@
|
|||||||
// Service exports
|
// Service exports
|
||||||
export { apiClient } from './api';
|
export { apiClient } from './api';
|
||||||
export { reportService } from './reportService';
|
export { reportService } from './reportService';
|
||||||
|
export { analyticsService } from './analyticsService';
|
||||||
export type { ApiError } from './api';
|
export type { ApiError } from './api';
|
||||||
export type { CreateReportPayload, UploadPhotoResponse } from './reportService';
|
export type { CreateReportPayload, UploadPhotoResponse } from './reportService';
|
||||||
|
|||||||
@@ -119,3 +119,39 @@ export interface FilterState {
|
|||||||
quantities?: QuantityLevel[];
|
quantities?: QuantityLevel[];
|
||||||
verificationStatus?: VerificationStatus[];
|
verificationStatus?: VerificationStatus[];
|
||||||
}
|
}
|
||||||
|
|
||||||
|
// Analytics types
|
||||||
|
export interface AnalyticsSummary {
|
||||||
|
totalReports: number;
|
||||||
|
totalEvents: number;
|
||||||
|
totalUsers: number;
|
||||||
|
totalLitterCollected?: number; // in kilograms
|
||||||
|
periodComparison?: {
|
||||||
|
reports: number; // percentage change
|
||||||
|
events: number;
|
||||||
|
users: number;
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
export interface DateRange {
|
||||||
|
start: Date;
|
||||||
|
end: Date;
|
||||||
|
}
|
||||||
|
|
||||||
|
export interface TimeSeriesDataPoint {
|
||||||
|
date: string;
|
||||||
|
reports: number;
|
||||||
|
events?: number;
|
||||||
|
}
|
||||||
|
|
||||||
|
export interface LitterTypeDistribution {
|
||||||
|
type: LitterType;
|
||||||
|
count: number;
|
||||||
|
percentage: number;
|
||||||
|
}
|
||||||
|
|
||||||
|
export interface QuantityAggregation {
|
||||||
|
quantity: QuantityLevel;
|
||||||
|
count: number;
|
||||||
|
percentage: number;
|
||||||
|
}
|
||||||
|
|||||||
Reference in New Issue
Block a user