880ee16be2
also converted line endings for recommendationservice/requirements.txt from dos to unix.
110 lines
4 KiB
Python
110 lines
4 KiB
Python
#!/usr/bin/python
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#
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# Copyright 2018 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import grpc
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from concurrent import futures
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import time
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import traceback
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import random
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import os
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import googleclouddebugger
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import demo_pb2
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import demo_pb2_grpc
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from grpc_health.v1 import health_pb2
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from grpc_health.v1 import health_pb2_grpc
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# TODO(morganmclean,ahmetb) tracing currently disabled due to memory leak (see TODO below)
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# from opencensus.trace.ext.grpc import server_interceptor
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# from opencensus.trace.samplers import always_on
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# from opencensus.trace.exporters import stackdriver_exporter
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# from opencensus.trace.exporters import print_exporter
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class RecommendationService(demo_pb2_grpc.RecommendationServiceServicer):
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def ListRecommendations(self, request, context):
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max_responses = 5
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# fetch list of products from product catalog stub
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cat_response = product_catalog_stub.ListProducts(demo_pb2.Empty())
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product_ids = [x.id for x in cat_response.products]
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filtered_products = list(set(product_ids)-set(request.product_ids))
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num_products = len(filtered_products)
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num_return = min(max_responses, num_products)
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# sample list of indicies to return
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indices = random.sample(range(num_products), num_return)
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# fetch product ids from indices
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prod_list = [filtered_products[i] for i in indices]
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print("[Recv ListRecommendations] product_ids={}".format(prod_list))
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# build and return response
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response = demo_pb2.ListRecommendationsResponse()
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response.product_ids.extend(prod_list)
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return response
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def Check(self, request, context):
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return health_pb2.HealthCheckResponse(
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status=health_pb2.HealthCheckResponse.SERVING)
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if __name__ == "__main__":
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print("initializing recommendationservice")
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# TODO(morganmclean,ahmetb) enabling the tracing interceptor/sampler below
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# causes an unbounded memory leak eventually OOMing the container.
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# ----
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# try:
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# sampler = always_on.AlwaysOnSampler()
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# exporter = stackdriver_exporter.StackdriverExporter()
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# tracer_interceptor = server_interceptor.OpenCensusServerInterceptor(sampler, exporter)
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# except:
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# tracer_interceptor = server_interceptor.OpenCensusServerInterceptor()
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try:
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googleclouddebugger.enable(
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module='recommendationserver',
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version='1.0.0'
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)
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except Exception, err:
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print("could not enable debugger")
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traceback.print_exc()
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pass
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port = os.environ.get('PORT', "8080")
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catalog_addr = os.environ.get('PRODUCT_CATALOG_SERVICE_ADDR', '')
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if catalog_addr == "":
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raise Exception('PRODUCT_CATALOG_SERVICE_ADDR environment variable not set')
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print("product catalog address: " + catalog_addr)
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channel = grpc.insecure_channel(catalog_addr)
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product_catalog_stub = demo_pb2_grpc.ProductCatalogServiceStub(channel)
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# create gRPC server
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server = grpc.server(futures.ThreadPoolExecutor(max_workers=10)) # ,interceptors=(tracer_interceptor,))
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# add class to gRPC server
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service = RecommendationService()
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demo_pb2_grpc.add_RecommendationServiceServicer_to_server(service, server)
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health_pb2_grpc.add_HealthServicer_to_server(service, server)
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# start server
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print("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
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try:
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while True:
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time.sleep(10000)
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except KeyboardInterrupt:
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server.stop(0)
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