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1: Simple client-server connection 2: Client-server connection with timeManager 3: Create distributed objects, sending and receiving messages 4: Distributed model file 5: Simple text chat 6: Simple smooth moving actor
30 lines
1.2 KiB
Python
30 lines
1.2 KiB
Python
from direct.distributed.DistributedObject import DistributedObject
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class AIDGameObject(DistributedObject):
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""" This class is a DirectObject which will be created and managed by the
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AI Repository. """
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def __init__(self, cr):
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DistributedObject.__init__(self, cr)
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def announceGenerate(self):
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""" The AI has created this object, so we send it's distributed object ID
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over to the client. That way the client can actually grab the object
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and use it to communicate with the AI. Alternatively store it in the
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Client Repository in self.cr """
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base.messenger.send(self.cr.uniqueName('AIDGameObjectGenerated'), [self.doId])
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# call the base class method
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DistributedObject.announceGenerate(self)
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def d_requestDataFromAI(self):
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""" Request some data from the AI and passing it some data from us. """
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data = ("Some Data", 1, -1.25)
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print("Sending game data:", data)
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self.sendUpdate('messageRoundtripToAI', [data])
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def messageRoundtripToClient(self, data):
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""" Here we expect the answer from the AI from a previous
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messageRoundtripToAI call """
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print("Got Data:", data)
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print("Roundtrip message complete")
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