def top_secret():
"""Flask API to obtain the location of the cargo ship and the message.
"""
sat1 = Satelite('kenobi', 0, 0)
sat2 = Satelite('skywalker', 3, 0)
sat3 = Satelite('sato', 5, 3)
trilateration = Trilateration([sat1, sat2, sat3])
decoder = MessageDecoder()
if request.method == 'POST':
try:
request_data = request.get_json()
satellites = request_data["satellites"]
trilat_distances = list()
received_msgs = list()
for satellite in satellites:
trilat_distances.append(satellite['distance'])
received_msgs.append(satellite['message'])
ship_pos = trilateration.get_location(trilat_distances)
message_decoded = decoder.get_messages(received_msgs)
response = {
"position": {
"x": str(ship_pos[0]),
"y": str(ship_pos[1])
},
"message": message_decoded
}
except Exception:
response = {
"msg": "The message or the position of the ship \
could not be determined. Please check the payload."
}
return response, STATUS_ERROR
return response, STATUS_OK
return 'Invalid request.', 404
def main(datafile=DEF_FILE_NAME):
data = read_data(datafile)
drone_data = read_drone_data()
drone_locs = {}
for index, row in drone_data.iterrows():
drone_locs[row["drone_id"]] = [float(row["x_m"]), float(row["y_m"]), float(row["z_m"])]
time_grouped = group_data(data[PI_MAC], 0)
sensors_per_time = []
for time_group in time_grouped:
ap_ids = []
sensors = []
used_sensors = set()
sorted_data = sorted(time_group[1], key=lambda x: x[2])
for sensor in sorted_data:
if(sensor[1] in used_sensors):
continue
used_sensors.add(sensor[1])
try:
loc = drone_locs[sensor[1]]
except KeyError:
continue
ap_ids.append(sensor[1])
sensors.append({'x': loc[0],
'y': loc[1],
'z': loc[2],
'signal': int(sensor[2])})
if count_unique_aps(ap_ids) > 3:
sensors_per_time.append([time_group[0], sensors])
else:
print('JAMMER')
for param in range(0, 301, 5):
gamma = param / 100
with open("../results/trilateration/results_trilateration_{}_{}.csv".format(SECONDS_GROUPING, gamma), "a") as f:
writer = csv.writer(f, delimiter=";")
writer.writerow(["sourcemac", "timestamp", "x_m", "y_m", "z_m", "eta"])
trilateration = Trilateration(gamma)
for row in sensors_per_time:
est = trilateration.get_location(row[1])
writer.writerow([PI_MAC, row[0]] + list(est.x))