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# 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.
from typing import Counter
from common.proto.dbscanserving_pb2 import DetectionRequest, DetectionResponse
from common.proto.dbscanserving_pb2_grpc import DetectorStub
from common.Settings import get_setting
from common.tools.client.RetryDecorator import delay_exponential, retry
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
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)
)
)