""" Copyright 2020 Tianshu AI Platform. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ import os import grpc import base64 import config as configs from logger import Logger from proto import inference_pb2_grpc, inference_pb2 log = Logger().logger parser = configs.get_parser() args = parser.parse_args() _HOST = '127.0.0.1' _PORT = '8500' MAX_MESSAGE_LENGTH = 1024 * 1024 * 1024 # 可根据具体需求设置,此处设为1G def run(): PROJECT_ROOT = os.path.dirname(os.path.abspath(__file__)) if args.enable_tls: # 使用tls加密通信 with open(PROJECT_ROOT + '\\tls_crt\\server.crt', 'rb') as f: trusted_certs = f.read() credentials = grpc.ssl_channel_credentials(root_certificates=trusted_certs) channel = grpc.secure_channel(_HOST + ':' + _PORT, credentials, options=[ ('grpc.max_send_message_length', MAX_MESSAGE_LENGTH), ('grpc.max_receive_message_length', MAX_MESSAGE_LENGTH), ], ) # 创建连接 else: channel = grpc.insecure_channel(_HOST + ':' + _PORT, options=[ ('grpc.max_send_message_length', MAX_MESSAGE_LENGTH), ('grpc.max_receive_message_length', MAX_MESSAGE_LENGTH), ], ) # 创建连接 client = inference_pb2_grpc.InferenceServiceStub(channel=channel) # 创建客户端 data_request = inference_pb2.DataRequest() data1 = data_request.data_list.add() data1.data_file = str(base64.b64encode(open("/usr/local/input/dog.jpg", "rb").read()), encoding='utf-8') data1.data_name = "dog.jpg" data2 = data_request.data_list.add() data2.data_file = str(base64.b64encode(open("/usr/local/input/6.jpg", "rb").read()), encoding='utf-8') data2.data_name = "6.jpg" response = client.inference(data_request) log.info(response.json_result.encode('utf-8').decode('unicode_escape')) if __name__ == '__main__': run()