Files
drone-detector/server/routes/droneDetection.js
2025-08-17 05:27:32 +02:00

232 lines
6.5 KiB
JavaScript

const express = require('express');
const router = express.Router();
const Joi = require('joi');
const { DroneDetection, Device } = require('../models');
const AlertService = require('../services/alertService');
const { validateRequest } = require('../middleware/validation');
// Initialize AlertService instance
const alertService = new AlertService();
// Validation schema for drone detection
const droneDetectionSchema = Joi.object({
device_id: Joi.number().integer().required(),
geo_lat: Joi.number().min(-90).max(90).default(0),
geo_lon: Joi.number().min(-180).max(180).default(0),
device_timestamp: Joi.number().integer().min(0).default(0),
drone_type: Joi.number().integer().min(0).default(0),
rssi: Joi.number().integer().default(0),
freq: Joi.number().integer().required(),
drone_id: Joi.number().integer().required(),
confidence_level: Joi.number().min(0).max(1).optional(),
signal_duration: Joi.number().integer().min(0).optional()
});
// POST /api/detections - Receive drone detection data
router.post('/', validateRequest(droneDetectionSchema), async (req, res) => {
try {
const detectionData = req.body;
// Ensure device exists or create it
const [device] = await Device.findOrCreate({
where: { id: detectionData.device_id },
defaults: {
id: detectionData.device_id,
geo_lat: detectionData.geo_lat || 0,
geo_lon: detectionData.geo_lon || 0,
last_heartbeat: new Date()
}
});
// Create the detection record
const detection = await DroneDetection.create({
...detectionData,
server_timestamp: new Date()
});
// Emit real-time update via Socket.IO
req.io.emit('drone_detection', {
id: detection.id,
device_id: detection.device_id,
drone_id: detection.drone_id,
drone_type: detection.drone_type,
rssi: detection.rssi,
freq: detection.freq,
geo_lat: detection.geo_lat,
geo_lon: detection.geo_lon,
server_timestamp: detection.server_timestamp,
device: {
id: device.id,
name: device.name,
geo_lat: device.geo_lat,
geo_lon: device.geo_lon
}
});
// Process alerts asynchronously
alertService.processAlert(detection).catch(error => {
console.error('Alert processing error:', error);
});
res.status(201).json({
success: true,
data: detection,
message: 'Drone detection recorded successfully'
});
} catch (error) {
console.error('Error creating drone detection:', error);
res.status(500).json({
success: false,
message: 'Failed to record drone detection',
error: process.env.NODE_ENV === 'development' ? error.message : 'Internal server error'
});
}
});
// GET /api/detections - Get drone detections with filtering
router.get('/', async (req, res) => {
try {
const {
device_id,
drone_id,
start_date,
end_date,
limit = 100,
offset = 0,
order = 'DESC'
} = req.query;
const whereClause = {};
if (device_id) whereClause.device_id = device_id;
if (drone_id) whereClause.drone_id = drone_id;
if (start_date || end_date) {
whereClause.server_timestamp = {};
if (start_date) whereClause.server_timestamp[Op.gte] = new Date(start_date);
if (end_date) whereClause.server_timestamp[Op.lte] = new Date(end_date);
}
const detections = await DroneDetection.findAndCountAll({
where: whereClause,
include: [{
model: Device,
as: 'device',
attributes: ['id', 'name', 'geo_lat', 'geo_lon', 'location_description']
}],
limit: Math.min(parseInt(limit), 1000), // Max 1000 records
offset: parseInt(offset),
order: [['server_timestamp', order]]
});
res.json({
success: true,
data: detections.rows,
pagination: {
total: detections.count,
limit: parseInt(limit),
offset: parseInt(offset),
pages: Math.ceil(detections.count / parseInt(limit))
}
});
} catch (error) {
console.error('Error fetching drone detections:', error);
res.status(500).json({
success: false,
message: 'Failed to fetch drone detections',
error: process.env.NODE_ENV === 'development' ? error.message : 'Internal server error'
});
}
});
// GET /api/detections/stats - Get detection statistics
router.get('/stats', async (req, res) => {
try {
const { device_id, hours = 24 } = req.query;
const whereClause = {
server_timestamp: {
[Op.gte]: new Date(Date.now() - hours * 60 * 60 * 1000)
}
};
if (device_id) whereClause.device_id = device_id;
const [totalDetections, uniqueDrones, uniqueDevices, avgRssi] = await Promise.all([
DroneDetection.count({ where: whereClause }),
DroneDetection.count({
where: whereClause,
distinct: true,
col: 'drone_id'
}),
DroneDetection.count({
where: whereClause,
distinct: true,
col: 'device_id'
}),
DroneDetection.findAll({
where: whereClause,
attributes: [
[sequelize.fn('AVG', sequelize.col('rssi')), 'avg_rssi']
]
})
]);
res.json({
success: true,
data: {
total_detections: totalDetections,
unique_drones: uniqueDrones,
active_devices: uniqueDevices,
average_rssi: Math.round(avgRssi[0]?.dataValues?.avg_rssi || 0),
time_period_hours: hours
}
});
} catch (error) {
console.error('Error fetching detection stats:', error);
res.status(500).json({
success: false,
message: 'Failed to fetch detection statistics',
error: process.env.NODE_ENV === 'development' ? error.message : 'Internal server error'
});
}
});
// GET /api/detections/:id - Get specific detection
router.get('/:id', async (req, res) => {
try {
const detection = await DroneDetection.findByPk(req.params.id, {
include: [{
model: Device,
as: 'device',
attributes: ['id', 'name', 'geo_lat', 'geo_lon', 'location_description']
}]
});
if (!detection) {
return res.status(404).json({
success: false,
message: 'Detection not found'
});
}
res.json({
success: true,
data: detection
});
} catch (error) {
console.error('Error fetching detection:', error);
res.status(500).json({
success: false,
message: 'Failed to fetch detection',
error: process.env.NODE_ENV === 'development' ? error.message : 'Internal server error'
});
}
});
module.exports = router;