#!/usr/bin/env python3
"""
Orlan Detection Test Script
Tests the critical alert system for Orlan military drones by simulating
a long-distance approach from undetectable range to directly overhead.

Test Scenario:
- Starts 50km away (beyond detection range)
- Slowly approaches target device
- Triggers critical alerts as it enters detection range
- Ends with drone hovering directly above target
"""

import requests
import json
import time
import math
import os
from datetime import datetime

# Disable SSL warnings for self-signed certificates
import warnings
warnings.filterwarnings('ignore', message='Unverified HTTPS request')

# Configuration from environment variables
# Tests default to localhost:3002 for local development
API_BASE_URL = os.getenv('API_BASE_URL', 'http://localhost:3002/api')
BASE_PATH = os.getenv('VITE_BASE_PATH', '').rstrip('/')

# Authentication configuration - Optional for local testing
USERNAME = os.getenv('TEST_USERNAME', 'admin')
PASSWORD = os.getenv('TEST_PASSWORD', 'admin123')
SKIP_AUTH = os.getenv('SKIP_AUTH', 'false').lower() == 'true'  # Set to 'true' to skip authentication

# If BASE_PATH is set, construct the full URL
if BASE_PATH and not API_BASE_URL.endswith('/api'):
    # Extract domain from API_BASE_URL and add base path
    domain = API_BASE_URL.replace('/api', '').replace('/drones/api', '').replace('/uggla/api', '')
    API_BASE_URL = f"{domain}{BASE_PATH}/api"

print(f"🔗 Using API Base URL: {API_BASE_URL}")

# Global variable to store authentication token
AUTH_TOKEN = None

def authenticate():
    """Authenticate with the API and get access token"""
    global AUTH_TOKEN
    
    login_data = {
        "username": USERNAME,
        "password": PASSWORD
    }
    
    try:
        print(f"🔐 Authenticating as user: {USERNAME}")
        response = requests.post(f"{API_BASE_URL}/users/login", json=login_data, verify=False)
        
        if response.status_code == 200:
            data = response.json()
            AUTH_TOKEN = data.get('data', {}).get('token')
            if AUTH_TOKEN:
                print("✅ Authentication successful")
                return True
            else:
                print("❌ No token received in response")
                print(f"Response data: {data}")
                return False
        else:
            print(f"❌ Authentication failed: {response.status_code}")
            print(f"Response: {response.text}")
            return False
    except Exception as e:
        print(f"❌ Authentication error: {e}")
        return False

def get_auth_headers():
    """Get headers with authentication token"""
    if SKIP_AUTH:
        return {"Content-Type": "application/json"}
    
    if AUTH_TOKEN:
        return {
            "Authorization": f"Bearer {AUTH_TOKEN}",
            "Content-Type": "application/json"
        }
    return {"Content-Type": "application/json"}

# Detection range parameters (approximate)
MAX_DETECTION_RANGE_KM = 25.0  # Maximum range for drone detection
MIN_RSSI_THRESHOLD = -95       # Minimum RSSI for detection

def haversine_distance(lat1, lon1, lat2, lon2):
    """Calculate distance between two points in kilometers"""
    R = 6371  # Earth's radius in kilometers
    
    dlat = math.radians(lat2 - lat1)
    dlon = math.radians(lon2 - lon1)
    
    a = (math.sin(dlat/2) * math.sin(dlat/2) + 
         math.cos(math.radians(lat1)) * math.cos(math.radians(lat2)) * 
         math.sin(dlon/2) * math.sin(dlon/2))
    c = 2 * math.atan2(math.sqrt(a), math.sqrt(1-a))
    
    return R * c

def rssi_from_distance(distance_km):
    """Calculate RSSI based on distance for Orlan drone"""
    # Ensure distance_km is a float
    distance_km = float(distance_km)
    
    # Orlan drones have powerful military-grade transmission systems
    # Base RSSI at 1km = -55 dBm (stronger than civilian drones)
    base_rssi = -55
    path_loss_exponent = 2.3  # Lower path loss due to military equipment
    
    if distance_km < 0.001:  # Less than 1 meter
        return -25
    
    rssi = base_rssi - (20 * path_loss_exponent * math.log10(distance_km))
    return max(rssi, -100)  # Cap at -100 dBm

def is_detectable(distance_km):
    """Check if drone is within detectable range"""
    rssi = rssi_from_distance(distance_km)
    return distance_km <= MAX_DETECTION_RANGE_KM and rssi >= MIN_RSSI_THRESHOLD

def fetch_devices():
    """Fetch devices from API"""
    try:
        if SKIP_AUTH:
            # Try without authentication first for local testing
            response = requests.get(f"{API_BASE_URL}/devices/map", verify=False)
        else:
            response = requests.get(f"{API_BASE_URL}/devices", headers=get_auth_headers(), verify=False)
            
        if response.status_code == 200:
            data = response.json()
            return data.get('data', [])
        else:
            print(f"Failed to fetch devices: {response.status_code}")
            print(f"Response: {response.text}")
    except Exception as e:
        print(f"Error fetching devices: {e}")
    return []

def send_detection(device, drone_lat, drone_lon, distance_km, step, total_steps):
    """Send a detection to the API using EXACT standard payload format"""
    # Ensure distance_km is a float
    distance_km = float(distance_km)
    rssi = rssi_from_distance(distance_km)
    
    # Use the EXACT standard payload format - NEVER change this!
    detection_data = {
        "device_id": device["id"],
        "geo_lat": drone_lat,
        "geo_lon": drone_lon,
        "device_timestamp": int(time.time() * 1000),  # Current timestamp in milliseconds
        "drone_type": 1,    # Orlan/Military type
        "rssi": int(rssi),
        "freq": 24,  # Orlan operates on 2.4 GHz (24 = 2400 MHz)
        "drone_id": 2000 + step  # Unique drone ID for tracking
    }
    
    try:
        response = requests.post(f"{API_BASE_URL}/detectors", json=detection_data, verify=False)
        if response.status_code == 201:
            status = "🚨 CRITICAL ALERT" if distance_km <= 5 else "⚠️  DETECTED" if is_detectable(distance_km) else "📡 MONITORING"
            print(f"{status} - Step {step}/{total_steps}: Distance={float(distance_km):.1f}km, RSSI={float(rssi):.0f}dBm")
            return True
        else:
            print(f"❌ Failed to send detection: {response.status_code}")
            print(f"Response: {response.text}")
            return False
    except Exception as e:
        print(f"❌ Error sending detection: {e}")
        return False

def calculate_position_along_path(start_lat, start_lon, end_lat, end_lon, progress):
    """Calculate position along great circle path"""
    # Simple linear interpolation for this test
    lat = start_lat + (end_lat - start_lat) * progress
    lon = start_lon + (end_lon - start_lon) * progress
    return lat, lon

def run_orlan_detection_test():
    """Run the comprehensive Orlan detection test"""
    print("=" * 70)
    print("🚨 ORLAN MILITARY DRONE DETECTION TEST")
    print("=" * 70)
    print("Test Scenario:")
    print("• Starting position: 50km away (undetectable)")
    print("• Approach pattern: Straight line to target")
    print("• Detection threshold: ~25km range")
    print("• Critical alerts: <5km from target")
    print("• End position: Directly overhead (0m)")
    print("=" * 70)
    print(f"🔗 API Endpoint: {API_BASE_URL}")
    if SKIP_AUTH:
        print("⚠️  AUTHENTICATION DISABLED - Running in local test mode")
    print()
    
    # Authenticate first (unless skipped)
    if not SKIP_AUTH and not authenticate():
        print("❌ Authentication failed. Cannot proceed with test.")
        print("Please check:")
        print("1. Is the server running?")
        print("2. Are the credentials correct?")
        print(f"   Username: {USERNAME}")
        print("3. Set TEST_USERNAME and TEST_PASSWORD environment variables if needed")
        print("4. Or set SKIP_AUTH=true to skip authentication for local testing")
        return
    
    # Test API connectivity first
    print("🔍 Testing API connectivity...")
    try:
        response = requests.get(f"{API_BASE_URL}/health")
        if response.status_code == 200:
            print("✅ API is accessible")
        else:
            print(f"❌ API health check failed: {response.status_code}")
            return
    except Exception as e:
        print(f"❌ Cannot connect to API: {e}")
        print("Please check:")
        print("1. Is the server running?")
        print("2. Is the API_BASE_URL correct?")
        print(f"   Current: {API_BASE_URL}")
        return
    
    # Fetch devices
    print("📡 Fetching devices...")
    devices = fetch_devices()
    if not devices:
        print("❌ No devices found!")
        print("Make sure at least one device is registered in the system.")
        return
    
    print(f"✅ Found {len(devices)} device(s)")
    
    # Use the first device as target
    target_device = devices[0]
    print(f"🎯 Target Device: {target_device['name']}")
    print(f"📍 Target Location: {target_device['geo_lat']:.6f}, {target_device['geo_lon']:.6f}")
    
    # Calculate starting position 50km away (due north for simplicity)
    start_distance = 50.0  # km
    # Move 50km north of target
    start_lat = target_device['geo_lat'] + (start_distance / 111.0)  # ~111km per degree latitude
    start_lon = target_device['geo_lon']  # Same longitude
    
    print(f"🛫 Orlan Starting Position: {start_lat:.6f}, {start_lon:.6f}")
    print(f"📏 Initial Distance: {float(start_distance):.1f}km")
    
    # Verify starting position is undetectable
    if is_detectable(start_distance):
        print("⚠️  WARNING: Starting position is within detection range!")
    else:
        print("✅ Starting position confirmed undetectable")
    
    print("\n" + "=" * 70)
    print("STARTING ORLAN APPROACH SIMULATION")
    print("=" * 70)
    
    # Simulation parameters
    total_steps = 50  # More steps for gradual approach
    final_distance = 0.0  # Directly overhead
    
    detection_started = False
    critical_alerts_started = False
    
    for step in range(1, total_steps + 1):
        # Calculate current distance using exponential approach for realistic acceleration
        progress = step / total_steps
        
        # Use exponential curve for realistic approach - slower at distance, faster when close
        distance_km = start_distance * (1 - progress) ** 1.8 + final_distance * progress ** 1.8
        
        # Calculate current position
        current_lat, current_lon = calculate_position_along_path(
            start_lat, start_lon, 
            target_device['geo_lat'], target_device['geo_lon'], 
            progress
        )
        
        # Check detection status
        detectable = is_detectable(distance_km)
        
        # Send detection only if within detectable range
        if detectable:
            if not detection_started:
                print(f"\n🔍 FIRST DETECTION at {float(distance_km):.1f}km - Orlan has entered detection range!")
                detection_started = True
            
            success = send_detection(target_device, current_lat, current_lon, distance_km, step, total_steps)
            
            if not success:
                print(f"❌ Failed to send detection at step {step}")
                continue
                
            # Show escalation messages
            if distance_km <= 5 and not critical_alerts_started:
                print(f"🚨 CRITICAL ALERT THRESHOLD REACHED at {float(distance_km):.1f}km!")
                critical_alerts_started = True
            elif distance_km <= 1:
                print(f"🔥 IMMEDIATE THREAT: Orlan within {float(distance_km):.1f}km!")
            elif distance_km <= 0.1:
                print(f"💥 DIRECTLY OVERHEAD: Orlan at {float(distance_km)*1000:.0f}m altitude!")
        else:
            # Outside detection range
            print(f"📡 Step {step}/{total_steps}: Distance={float(distance_km):.1f}km (undetectable, RSSI={float(rssi_from_distance(distance_km)):.0f}dBm)")
        
        # Variable delay based on distance
        if distance_km > 30:
            delay = 2.0  # 2 seconds for very long range
        elif distance_km > 15:
            delay = 1.5  # 1.5 seconds for long range
        elif distance_km > 5:
            delay = 1.0  # 1 second for medium range
        else:
            delay = 0.8  # Faster updates for critical proximity
        
        time.sleep(delay)
    
    print("\n" + "=" * 70)
    print("🚨 ORLAN DETECTION TEST COMPLETED")
    print("=" * 70)
    print("Test Summary:")
    print(f"• Starting distance: {float(start_distance):.1f}km (undetectable)")
    print(f"• Detection range entered: ~{float(MAX_DETECTION_RANGE_KM):.1f}km")
    print(f"• Critical alerts triggered: <5km")
    print(f"• Final position: Directly overhead")
    print(f"• Target device: {target_device['name']}")
    print(f"• Total simulation steps: {total_steps}")
    print("")
    print("Expected Results:")
    print("✅ No detections sent while >25km away")
    print("✅ First detection when entering ~25km range")
    print("✅ Critical alerts triggered for Orlan type (drone_type=1)")
    print("✅ All alerts escalated regardless of distance/RSSI")
    print("✅ Real-time tracking visible on dashboard")
    print("=" * 70)

if __name__ == "__main__":
    try:
        run_orlan_detection_test()
    except KeyboardInterrupt:
        print("\n\n⚠️ Orlan detection test interrupted by user")
    except Exception as e:
        print(f"\n❌ Error during Orlan detection test: {e}")