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121 行
4.6 KiB
121 行
4.6 KiB
import logging
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import grpc
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from typing import Optional
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import socket
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from multiprocessing import Pipe
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from concurrent.futures import ThreadPoolExecutor
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from .communicator import Communicator
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from mlagents.envs.communicator_objects.unity_to_external_pb2_grpc import (
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UnityToExternalProtoServicer,
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add_UnityToExternalProtoServicer_to_server,
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)
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from mlagents.envs.communicator_objects.unity_message_pb2 import UnityMessageProto
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from mlagents.envs.communicator_objects.unity_input_pb2 import UnityInputProto
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from mlagents.envs.communicator_objects.unity_output_pb2 import UnityOutputProto
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from .exception import UnityTimeOutException, UnityWorkerInUseException
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logger = logging.getLogger("mlagents.envs")
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class UnityToExternalServicerImplementation(UnityToExternalProtoServicer):
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def __init__(self):
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self.parent_conn, self.child_conn = Pipe()
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def Initialize(self, request, context):
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self.child_conn.send(request)
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return self.child_conn.recv()
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def Exchange(self, request, context):
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self.child_conn.send(request)
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return self.child_conn.recv()
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class RpcCommunicator(Communicator):
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def __init__(self, worker_id=0, base_port=5005, timeout_wait=30):
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"""
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Python side of the grpc communication. Python is the server and Unity the client
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:int base_port: Baseline port number to connect to Unity environment over. worker_id increments over this.
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:int worker_id: Number to add to communication port (5005) [0]. Used for asynchronous agent scenarios.
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"""
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self.port = base_port + worker_id
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self.worker_id = worker_id
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self.timeout_wait = timeout_wait
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self.server = None
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self.unity_to_external = None
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self.is_open = False
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self.create_server()
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def create_server(self):
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"""
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Creates the GRPC server.
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"""
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self.check_port(self.port)
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try:
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# Establish communication grpc
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self.server = grpc.server(ThreadPoolExecutor(max_workers=10))
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self.unity_to_external = UnityToExternalServicerImplementation()
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add_UnityToExternalProtoServicer_to_server(
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self.unity_to_external, self.server
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)
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# Using unspecified address, which means that grpc is communicating on all IPs
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# This is so that the docker container can connect.
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self.server.add_insecure_port("[::]:" + str(self.port))
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self.server.start()
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self.is_open = True
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except Exception:
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raise UnityWorkerInUseException(self.worker_id)
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def check_port(self, port):
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"""
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Attempts to bind to the requested communicator port, checking if it is already in use.
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"""
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s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
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try:
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s.bind(("localhost", port))
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except socket.error:
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raise UnityWorkerInUseException(self.worker_id)
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finally:
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s.close()
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def initialize(self, inputs: UnityInputProto) -> UnityOutputProto:
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if not self.unity_to_external.parent_conn.poll(self.timeout_wait):
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raise UnityTimeOutException(
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"The Unity environment took too long to respond. Make sure that :\n"
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"\t The environment does not need user interaction to launch\n"
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"\t The Agents are linked to the appropriate Brains\n"
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"\t The environment and the Python interface have compatible versions."
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)
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aca_param = self.unity_to_external.parent_conn.recv().unity_output
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message = UnityMessageProto()
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message.header.status = 200
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message.unity_input.CopyFrom(inputs)
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self.unity_to_external.parent_conn.send(message)
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self.unity_to_external.parent_conn.recv()
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return aca_param
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def exchange(self, inputs: UnityInputProto) -> Optional[UnityOutputProto]:
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message = UnityMessageProto()
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message.header.status = 200
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message.unity_input.CopyFrom(inputs)
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self.unity_to_external.parent_conn.send(message)
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output = self.unity_to_external.parent_conn.recv()
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if output.header.status != 200:
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return None
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return output.unity_output
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def close(self):
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"""
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Sends a shutdown signal to the unity environment, and closes the grpc connection.
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"""
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if self.is_open:
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message_input = UnityMessageProto()
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message_input.header.status = 400
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self.unity_to_external.parent_conn.send(message_input)
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self.unity_to_external.parent_conn.close()
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self.server.stop(False)
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self.is_open = False
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