345 lines
13 KiB
Python
345 lines
13 KiB
Python
#!/usr/bin/env python3
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"""
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Orlan Detection Test Script
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Tests the critical alert system for Orlan military drones by simulating
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a long-distance approach from undetectable range to directly overhead.
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Test Scenario:
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- Starts 50km away (beyond detection range)
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- Slowly approaches target device
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- Triggers critical alerts as it enters detection range
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- Ends with drone hovering directly above target
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"""
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import requests
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import json
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import time
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import math
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import os
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from datetime import datetime
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# Disable SSL warnings for self-signed certificates
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import warnings
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warnings.filterwarnings('ignore', message='Unverified HTTPS request')
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# Configuration from environment variables
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# Tests default to localhost:3002 for local development
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API_BASE_URL = os.getenv('API_BASE_URL', 'http://localhost:3002/api')
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BASE_PATH = os.getenv('VITE_BASE_PATH', '').rstrip('/')
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# Authentication configuration - Optional for local testing
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USERNAME = os.getenv('TEST_USERNAME', 'admin')
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PASSWORD = os.getenv('TEST_PASSWORD', 'admin123')
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SKIP_AUTH = os.getenv('SKIP_AUTH', 'false').lower() == 'true' # Set to 'true' to skip authentication
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# If BASE_PATH is set, construct the full URL
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if BASE_PATH and not API_BASE_URL.endswith('/api'):
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# Extract domain from API_BASE_URL and add base path
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domain = API_BASE_URL.replace('/api', '').replace('/drones/api', '').replace('/uggla/api', '')
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API_BASE_URL = f"{domain}{BASE_PATH}/api"
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print(f"🔗 Using API Base URL: {API_BASE_URL}")
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# Global variable to store authentication token
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AUTH_TOKEN = None
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def authenticate():
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"""Authenticate with the API and get access token"""
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global AUTH_TOKEN
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login_data = {
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"username": USERNAME,
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"password": PASSWORD
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}
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try:
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print(f"🔐 Authenticating as user: {USERNAME}")
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response = requests.post(f"{API_BASE_URL}/auth/login", json=login_data, verify=False)
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if response.status_code == 200:
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data = response.json()
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AUTH_TOKEN = data.get('token')
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if AUTH_TOKEN:
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print("✅ Authentication successful")
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return True
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else:
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print("❌ No token received in response")
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return False
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else:
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print(f"❌ Authentication failed: {response.status_code}")
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print(f"Response: {response.text}")
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return False
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except Exception as e:
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print(f"❌ Authentication error: {e}")
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return False
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def get_auth_headers():
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"""Get headers with authentication token"""
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if SKIP_AUTH:
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return {"Content-Type": "application/json"}
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if AUTH_TOKEN:
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return {
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"Authorization": f"Bearer {AUTH_TOKEN}",
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"Content-Type": "application/json"
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}
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return {"Content-Type": "application/json"}
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# Detection range parameters (approximate)
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MAX_DETECTION_RANGE_KM = 25.0 # Maximum range for drone detection
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MIN_RSSI_THRESHOLD = -95 # Minimum RSSI for detection
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def haversine_distance(lat1, lon1, lat2, lon2):
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"""Calculate distance between two points in kilometers"""
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R = 6371 # Earth's radius in kilometers
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dlat = math.radians(lat2 - lat1)
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dlon = math.radians(lon2 - lon1)
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a = (math.sin(dlat/2) * math.sin(dlat/2) +
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math.cos(math.radians(lat1)) * math.cos(math.radians(lat2)) *
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math.sin(dlon/2) * math.sin(dlon/2))
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c = 2 * math.atan2(math.sqrt(a), math.sqrt(1-a))
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return R * c
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def rssi_from_distance(distance_km):
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"""Calculate RSSI based on distance for Orlan drone"""
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# Orlan drones have powerful military-grade transmission systems
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# Base RSSI at 1km = -55 dBm (stronger than civilian drones)
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base_rssi = -55
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path_loss_exponent = 2.3 # Lower path loss due to military equipment
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if distance_km < 0.001: # Less than 1 meter
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return -25
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rssi = base_rssi - (20 * path_loss_exponent * math.log10(distance_km))
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return max(rssi, -100) # Cap at -100 dBm
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def is_detectable(distance_km):
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"""Check if drone is within detectable range"""
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rssi = rssi_from_distance(distance_km)
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return distance_km <= MAX_DETECTION_RANGE_KM and rssi >= MIN_RSSI_THRESHOLD
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def fetch_devices():
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"""Fetch devices from API"""
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try:
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if SKIP_AUTH:
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# Try without authentication first for local testing
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response = requests.get(f"{API_BASE_URL}/devices/map", verify=False)
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else:
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response = requests.get(f"{API_BASE_URL}/devices", headers=get_auth_headers(), verify=False)
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if response.status_code == 200:
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data = response.json()
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return data.get('data', [])
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else:
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print(f"Failed to fetch devices: {response.status_code}")
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print(f"Response: {response.text}")
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except Exception as e:
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print(f"Error fetching devices: {e}")
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return []
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def send_detection(device, drone_lat, drone_lon, distance_km, step, total_steps):
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"""Send a detection to the API using EXACT standard payload format"""
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rssi = rssi_from_distance(distance_km)
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# Use the EXACT standard payload format - NEVER change this!
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detection_data = {
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"device_id": device["id"],
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"geo_lat": drone_lat,
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"geo_lon": drone_lon,
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"device_timestamp": int(time.time() * 1000), # Current timestamp in milliseconds
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"drone_type": 1, # Orlan/Military type
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"rssi": int(rssi),
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"freq": 24, # Orlan operates on 2.4 GHz (24 = 2400 MHz)
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"drone_id": 2000 + step # Unique drone ID for tracking
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}
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try:
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response = requests.post(f"{API_BASE_URL}/detectors", json=detection_data, verify=False)
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if response.status_code == 201:
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status = "🚨 CRITICAL ALERT" if distance_km <= 5 else "⚠️ DETECTED" if is_detectable(distance_km) else "📡 MONITORING"
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print(f"{status} - Step {step}/{total_steps}: Distance={distance_km:.1f}km, RSSI={rssi:.0f}dBm")
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return True
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else:
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print(f"❌ Failed to send detection: {response.status_code}")
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print(f"Response: {response.text}")
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return False
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except Exception as e:
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print(f"❌ Error sending detection: {e}")
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return False
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def calculate_position_along_path(start_lat, start_lon, end_lat, end_lon, progress):
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"""Calculate position along great circle path"""
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# Simple linear interpolation for this test
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lat = start_lat + (end_lat - start_lat) * progress
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lon = start_lon + (end_lon - start_lon) * progress
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return lat, lon
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def run_orlan_detection_test():
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"""Run the comprehensive Orlan detection test"""
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print("=" * 70)
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print("🚨 ORLAN MILITARY DRONE DETECTION TEST")
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print("=" * 70)
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print("Test Scenario:")
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print("• Starting position: 50km away (undetectable)")
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print("• Approach pattern: Straight line to target")
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print("• Detection threshold: ~25km range")
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print("• Critical alerts: <5km from target")
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print("• End position: Directly overhead (0m)")
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print("=" * 70)
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print(f"🔗 API Endpoint: {API_BASE_URL}")
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if SKIP_AUTH:
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print("⚠️ AUTHENTICATION DISABLED - Running in local test mode")
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print()
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# Authenticate first (unless skipped)
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if not SKIP_AUTH and not authenticate():
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print("❌ Authentication failed. Cannot proceed with test.")
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print("Please check:")
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print("1. Is the server running?")
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print("2. Are the credentials correct?")
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print(f" Username: {USERNAME}")
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print("3. Set TEST_USERNAME and TEST_PASSWORD environment variables if needed")
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print("4. Or set SKIP_AUTH=true to skip authentication for local testing")
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return
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# Test API connectivity first
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print("🔍 Testing API connectivity...")
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try:
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response = requests.get(f"{API_BASE_URL}/health")
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if response.status_code == 200:
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print("✅ API is accessible")
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else:
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print(f"❌ API health check failed: {response.status_code}")
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return
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except Exception as e:
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print(f"❌ Cannot connect to API: {e}")
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print("Please check:")
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print("1. Is the server running?")
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print("2. Is the API_BASE_URL correct?")
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print(f" Current: {API_BASE_URL}")
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return
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# Fetch devices
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print("📡 Fetching devices...")
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devices = fetch_devices()
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if not devices:
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print("❌ No devices found!")
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print("Make sure at least one device is registered in the system.")
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return
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print(f"✅ Found {len(devices)} device(s)")
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# Use the first device as target
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target_device = devices[0]
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print(f"🎯 Target Device: {target_device['name']}")
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print(f"📍 Target Location: {target_device['geo_lat']:.6f}, {target_device['geo_lon']:.6f}")
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# Calculate starting position 50km away (due north for simplicity)
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start_distance = 50.0 # km
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# Move 50km north of target
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start_lat = target_device['geo_lat'] + (start_distance / 111.0) # ~111km per degree latitude
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start_lon = target_device['geo_lon'] # Same longitude
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print(f"🛫 Orlan Starting Position: {start_lat:.6f}, {start_lon:.6f}")
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print(f"📏 Initial Distance: {start_distance:.1f}km")
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# Verify starting position is undetectable
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if is_detectable(start_distance):
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print("⚠️ WARNING: Starting position is within detection range!")
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else:
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print("✅ Starting position confirmed undetectable")
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print("\n" + "=" * 70)
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print("STARTING ORLAN APPROACH SIMULATION")
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print("=" * 70)
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# Simulation parameters
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total_steps = 50 # More steps for gradual approach
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final_distance = 0.0 # Directly overhead
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detection_started = False
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critical_alerts_started = False
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for step in range(1, total_steps + 1):
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# Calculate current distance using exponential approach for realistic acceleration
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progress = step / total_steps
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# Use exponential curve for realistic approach - slower at distance, faster when close
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distance_km = start_distance * (1 - progress) ** 1.8 + final_distance * progress ** 1.8
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# Calculate current position
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current_lat, current_lon = calculate_position_along_path(
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start_lat, start_lon,
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target_device['geo_lat'], target_device['geo_lon'],
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progress
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)
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# Check detection status
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detectable = is_detectable(distance_km)
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# Send detection only if within detectable range
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if detectable:
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if not detection_started:
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print(f"\n🔍 FIRST DETECTION at {distance_km:.1f}km - Orlan has entered detection range!")
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detection_started = True
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success = send_detection(target_device, current_lat, current_lon, distance_km, step, total_steps)
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if not success:
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print(f"❌ Failed to send detection at step {step}")
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continue
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# Show escalation messages
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if distance_km <= 5 and not critical_alerts_started:
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print(f"🚨 CRITICAL ALERT THRESHOLD REACHED at {distance_km:.1f}km!")
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critical_alerts_started = True
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elif distance_km <= 1:
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print(f"🔥 IMMEDIATE THREAT: Orlan within {distance_km:.1f}km!")
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elif distance_km <= 0.1:
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print(f"💥 DIRECTLY OVERHEAD: Orlan at {distance_km*1000:.0f}m altitude!")
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else:
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# Outside detection range
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print(f"📡 Step {step}/{total_steps}: Distance={distance_km:.1f}km (undetectable, RSSI={rssi_from_distance(distance_km):.0f}dBm)")
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# Variable delay based on distance
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if distance_km > 30:
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delay = 2.0 # 2 seconds for very long range
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elif distance_km > 15:
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delay = 1.5 # 1.5 seconds for long range
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elif distance_km > 5:
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delay = 1.0 # 1 second for medium range
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else:
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delay = 0.8 # Faster updates for critical proximity
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time.sleep(delay)
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print("\n" + "=" * 70)
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print("🚨 ORLAN DETECTION TEST COMPLETED")
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print("=" * 70)
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print("Test Summary:")
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print(f"• Starting distance: {start_distance:.1f}km (undetectable)")
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print(f"• Detection range entered: ~{MAX_DETECTION_RANGE_KM:.1f}km")
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print(f"• Critical alerts triggered: <5km")
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print(f"• Final position: Directly overhead")
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print(f"• Target device: {target_device['name']}")
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print(f"• Total simulation steps: {total_steps}")
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print("")
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print("Expected Results:")
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print("✅ No detections sent while >25km away")
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print("✅ First detection when entering ~25km range")
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print("✅ Critical alerts triggered for Orlan type (drone_type=1)")
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print("✅ All alerts escalated regardless of distance/RSSI")
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print("✅ Real-time tracking visible on dashboard")
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print("=" * 70)
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if __name__ == "__main__":
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try:
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run_orlan_detection_test()
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except KeyboardInterrupt:
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print("\n\n⚠️ Orlan detection test interrupted by user")
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except Exception as e:
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print(f"\n❌ Error during Orlan detection test: {e}")
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