# Copyright 2021-2023 H2020 TeraFlow (https://www.teraflow-h2020.eu/) # # 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 logging from typing import Counter import grpc from common.proto.dbscanserving_pb2 import DetectionRequest, DetectionResponse from common.proto.dbscanserving_pb2_grpc import DetectorStub from common.Settings import get_log_level, get_setting from common.tools.client.RetryDecorator import delay_exponential, retry log_level = get_log_level() logging.basicConfig(level=log_level) LOGGER = logging.getLogger(__name__) MAX_RETRIES = 15 DELAY_FUNCTION = delay_exponential(initial=0.01, increment=2.0, maximum=5.0) RETRY_DECORATOR = retry( max_retries=MAX_RETRIES, delay_function=DELAY_FUNCTION, prepare_method_name="connect", ) class DbscanServingClient: def __init__(self, host=None, port=None): if not host: host = get_setting("DBSCANSERVINGSERVICE_SERVICE_HOST") if not port: port = get_setting("DBSCANSERVINGSERVICE_SERVICE_PORT_GRPC") self.endpoint = "{:s}:{:s}".format(str(host), str(port)) LOGGER.debug("Creating channel to {:s}...".format(str(self.endpoint))) self.channel = None self.stub = None self.connect() LOGGER.debug("Channel created") def connect(self): self.channel = grpc.insecure_channel(self.endpoint) self.stub = DetectorStub(self.channel) def close(self): if self.channel is not None: self.channel.close() self.channel = None self.stub = None @RETRY_DECORATOR def Detect(self, request: DetectionRequest) -> DetectionResponse: LOGGER.debug( "Detect request with {} samples and {} features".format( request.num_samples, request.num_features ) ) response: DetectionResponse = self.stub.Detect(request) LOGGER.debug( "Detect result with {} cluster indices [{}]".format( len(response.cluster_indices), Counter(response.cluster_indices) ) ) return response