microservices-demo/src/recommendationservice/recommendation_server.py

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#!/usr/bin/python
#
# Copyright 2018 Google LLC
#
# 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.
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import grpc
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from concurrent import futures
import time
import traceback
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import os
import random
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import googleclouddebugger
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import demo_pb2
import demo_pb2_grpc
from grpc_health.v1 import health_pb2
from grpc_health.v1 import health_pb2_grpc
from logger import getJSONLogger
logger = getJSONLogger('recommendationservice-server')
# TODO(morganmclean,ahmetb) tracing currently disabled due to memory leak (see TODO below)
# from opencensus.trace.ext.grpc import server_interceptor
# from opencensus.trace.samplers import always_on
# from opencensus.trace.exporters import stackdriver_exporter
# from opencensus.trace.exporters import print_exporter
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class RecommendationService(demo_pb2_grpc.RecommendationServiceServicer):
def ListRecommendations(self, request, context):
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max_responses = 5
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# fetch list of products from product catalog stub
cat_response = product_catalog_stub.ListProducts(demo_pb2.Empty())
product_ids = [x.id for x in cat_response.products]
filtered_products = list(set(product_ids)-set(request.product_ids))
num_products = len(filtered_products)
num_return = min(max_responses, num_products)
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# sample list of indicies to return
indices = random.sample(range(num_products), num_return)
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# fetch product ids from indices
prod_list = [filtered_products[i] for i in indices]
logger.info("[Recv ListRecommendations] product_ids={}".format(prod_list))
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# build and return response
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response = demo_pb2.ListRecommendationsResponse()
response.product_ids.extend(prod_list)
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return response
def Check(self, request, context):
return health_pb2.HealthCheckResponse(
status=health_pb2.HealthCheckResponse.SERVING)
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if __name__ == "__main__":
logger.info("initializing recommendationservice")
# TODO(morganmclean,ahmetb) enabling the tracing interceptor/sampler below
# causes an unbounded memory leak eventually OOMing the container.
# ----
# try:
# sampler = always_on.AlwaysOnSampler()
# exporter = stackdriver_exporter.StackdriverExporter()
# tracer_interceptor = server_interceptor.OpenCensusServerInterceptor(sampler, exporter)
# except:
# tracer_interceptor = server_interceptor.OpenCensusServerInterceptor()
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try:
googleclouddebugger.enable(
module='recommendationserver',
version='1.0.0'
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)
except Exception, err:
logger.error("could not enable debugger")
logger.error(traceback.print_exc())
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pass
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port = os.environ.get('PORT', "8080")
catalog_addr = os.environ.get('PRODUCT_CATALOG_SERVICE_ADDR', '')
if catalog_addr == "":
raise Exception('PRODUCT_CATALOG_SERVICE_ADDR environment variable not set')
logger.info("product catalog address: " + catalog_addr)
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channel = grpc.insecure_channel(catalog_addr)
product_catalog_stub = demo_pb2_grpc.ProductCatalogServiceStub(channel)
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# create gRPC server
server = grpc.server(futures.ThreadPoolExecutor(max_workers=10)) # ,interceptors=(tracer_interceptor,))
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# add class to gRPC server
service = RecommendationService()
demo_pb2_grpc.add_RecommendationServiceServicer_to_server(service, server)
health_pb2_grpc.add_HealthServicer_to_server(service, server)
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# start server
logger.info("listening on port: " + port)
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server.add_insecure_port('[::]:'+port)
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server.start()
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# keep alive
try:
while True:
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time.sleep(10000)
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except KeyboardInterrupt:
server.stop(0)