78 lines
2.2 KiB
Python
78 lines
2.2 KiB
Python
# Remove a encoding from the models file
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# Import required modules
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import sys
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import os
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import json
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# Get the absolute path and the username
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path = os.path.dirname(os.path.realpath(__file__)) + "/.."
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user = sys.argv[1]
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# Check if enough arguments have been passed
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if len(sys.argv) == 3:
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print("Please add the ID of the model to remove as an argument")
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print("You can find the IDs by running:")
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print("\n\thowdy " + user + " list\n")
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sys.exit(1)
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# Check if the models file has been created yet
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if not os.path.exists(path + "/models"):
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print("Face models have not been initialized yet, please run:")
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print("\n\thowdy " + user + " add\n")
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sys.exit(1)
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# Path to the models file
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enc_file = path + "/models/" + user + ".dat"
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# Try to load the models file and abort if the user does not have it yet
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try:
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encodings = json.load(open(enc_file))
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except FileNotFoundError:
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print("No face model known for the user " + user + ", please run:")
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print("\n\thowdy " + user + " add\n")
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sys.exit(1)
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# Tracks if a encoding with that id has been found
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found = False
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# Loop though all encodings and check if they match the argument
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for enc in encodings:
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if str(enc["id"]) == sys.argv[3]:
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# Double check with the user
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print('This will remove the model called "' + enc["label"] + '" for ' + user)
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ans = input("Do you want to continue [y/N]: ")
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# Abort if the answer isn't yes
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if (ans.lower() != "y"):
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print('\nInerpeting as a "NO"')
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sys.exit()
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# Mark as found and print an enter
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found = True
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print()
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break
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# Abort if no matching id was found
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if not found:
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print("No model with ID " + sys.argv[3] + " exists for " + user)
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sys.exit()
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# Remove the entire file if this encoding is the only one
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if len(encodings) == 1:
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os.remove(path + "/models/" + user + ".dat")
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print("Removed last model, howdy disabled for user")
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else:
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# A place holder to contain the encodings that will remain
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new_encodings = []
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# Loop though all encodin and only add thos that don't need to be removed
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for enc in encodings:
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if str(enc["id"]) != sys.argv[3]:
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new_encodings.append(enc)
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# Save this new set to disk
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with open(enc_file, "w") as datafile:
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json.dump(new_encodings, datafile)
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print("Removed model " + sys.argv[3])
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