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Fix jwt-token

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This commit is contained in:
Alexander Borg
2025-09-07 12:16:04 +02:00
parent cdda49d59e
commit ca47019783
1 changed files with 10 additions and 26 deletions
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36
test_orlan_detection.py
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@@ -144,20 +144,21 @@ def fetch_devices():
print(f"Error fetching devices: {e}")
return []
def send_detection(device, drone_lat, drone_lon, distance_km, step, total_steps):
def send_detection(device, 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!
# Use the device's coordinates as the detection location
# The RSSI indicates how close/far the drone is from this device
detection_data = {
"device_id": device["id"],
"geo_lat": drone_lat,
"geo_lon": drone_lon,
"geo_lat": float(device["geo_lat"]), # Device location
"geo_lon": float(device["geo_lon"]), # Device location
"device_timestamp": int(time.time() * 1000), # Current timestamp in milliseconds
"drone_type": 1, # Orlan/Military type
"rssi": int(rssi),
"rssi": int(rssi), # RSSI indicates distance from device
"freq": 24, # Orlan operates on 2.4 GHz (24 = 2400 MHz)
"drone_id": 2000 + step # Unique drone ID for tracking
}
@@ -176,13 +177,6 @@ def send_detection(device, drone_lat, drone_lon, distance_km, step, total_steps)
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)
@@ -248,14 +242,11 @@ def run_orlan_detection_test():
print(f"📍 Target Location: {target_lat:.6f}, {target_lon:.6f}")
# Calculate starting position 50km away (due north for simplicity)
# Calculate starting position 50km away for distance simulation
start_distance = 50.0 # km
# Move 50km north of target
start_lat = target_lat + (start_distance / 111.0) # ~111km per degree latitude
start_lon = target_lon # Same longitude
print(f"🛫 Orlan Starting Position: {start_lat:.6f}, {start_lon:.6f}")
print(f"📏 Initial Distance: {float(start_distance):.1f}km")
print(f"🛫 Orlan Starting Distance: {float(start_distance):.1f}km from device")
print(f"<EFBFBD> Device Location: {target_lat:.6f}, {target_lon:.6f}")
# Verify starting position is undetectable
if is_detectable(start_distance):
@@ -281,13 +272,6 @@ def run_orlan_detection_test():
# 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_lat, target_lon,
progress
)
# Check detection status
detectable = is_detectable(distance_km)
@@ -297,7 +281,7 @@ def run_orlan_detection_test():
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)
success = send_detection(target_device, distance_km, step, total_steps)
if not success:
print(f"❌ Failed to send detection at step {step}")