def unlock_car(self):
"""
Perform functions for unlocking the car.
"""
# GUI Loop.
in_booking = True
while in_booking:
current_username = self.unlocked_car["username"]
print("Welcome {}".format(current_username))
print("Please select from the following options:\n \
1. Return the Car.")
# print("9. Update face recognition profile.")
user_choice = input("Enter your choice: ")
if user_choice == "1":
# TODO how do we update the master if the connection fails?
socket_connection = SocketConnection(
self.unlocked_car["car_id"])
socket_connection.terminate_booking()
in_booking = False
elif user_choice == "9":
# Confirm the user's intent after warnings.
print(
"Warning: Continuing will remove your existing face profile for this vehicle!"
)
confirmation = input(
"Enter \"f\" to continue or any other choice to cancel: ")
if confirmation != "f":
os.system("clear")
continue
os.system("clear")
print("Look directly at the camera for 15 seconds")
# Update the user's face:
# In future if the MasterPi has the resources, it may be better to
# 1. Prompt for a password. If this password is valid, the
# Master Pi will respond with a token which is then passed to the
# face recognition creator for creation. For exanple:
# print("To update your face recognition profile, please re-enter your password.")
# password = getpass()
# In this implementation, we simply call the FR software, updating
# the faces in the user's folder and then updatating the pickle file.
# This uses an agreed upon token - the hash of the username.
hashing = hashlib.sha256(current_username.encode("utf-8"))
user_token = hashing.hexdigest()
log.info("Hashed username({}): {}".format(
current_username, user_token))
faces_folder = "data_folder"
face_pickle = "face_encodings.pickle"
# Instantiate the FaceCapture object and attempt to capture
# a face. If this is successful, re_encode the pickle file.
face_capture = FaceCapture(user_token, faces_folder)
capture_success = face_capture.capture_face()
if capture_success:
print("Encoding Faces - please wait....")
face_encoder = FaceEncoder(faces_folder, face_pickle)
encoding_success = face_encoder.encode_faces()
if encoding_success:
print("Faces Encoded!")
else:
print("Encoding Error - this error has been logged.")
log.exception("Encoding error with current dataset.")
else:
print("Unable to capture adequate face images.")
time.sleep(3)
os.system("clear")
return
def __init__(self, userselection: int, current_car: CarDetails):
self.userselection = userselection
self.current_car = current_car
log.info("Current Car object in init: {}".format(self.current_car))
self.socket_connection = SocketConnection(
self.current_car.get_car_id())