initial commit for e2e demo

README.md

@@ -1 +1,5 @@
-# mobius
+# Mobius online learning.
+
+## Code Editor
+Recommend Atom (https://atom.io/) as the code editor.
+Recommended plugins: atom-beautify, python-indent, auto-indent, vim-mode-plus (for VIM-ers)

demo/README.md

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+## Prerequisites
+- Additional packages needed to run the demo code.
+- Need to disable the main thread check manually. It will be located at line
+1038 of file python2.7/site-packages/ray/worker.py (or similar path depending
+on the OS and python version). There are ongoing efforts to support multiple
+threading, hopefully it will be supported natively soon.
+
+Generate proto file
+> $ bash generate_proto.sh
+
+Start local zookeeper service
+> $ zkServer start
+
+Start kafka service
+> $ kafka-server-start /usr/local/etc/kafka/server.properties
+
+
+Start RPC server
+> $ python server_rpc.py --kafka_server=localhost:9092 --kafka_topic=kafkaesque
+
+Start gateway server (easiest integration as go gateway generates most of the code)
+Required if you'd like to send the request with PostMate.
+> $ go run server_gateway.go
+
+Stream training data
+> $ python publish_msg.py --kafka_server=localhost:9092 --kafka_topic=kafkaesque --num_to_send=10000 --sleep_every_N=100 --target_a=1 --target_b=3
+
+Client script to send inference request and compute the mean squared error.
+> $ python client.py --num_batch=100 --target_a=1 --target_b=3

demo/client.py

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+import argparse
+import grpc
+import numpy
+import time
+import util
+
+from proto import mobius_pb2, mobius_pb2_grpc
+
+parser = argparse.ArgumentParser(description="Online learning service")
+
+parser.add_argument("--rpc_endpoint", default="localhost:50051", type=str,
+                    help="RPC endpoint")
+parser.add_argument("--target_a", default=0.1, type=float,
+                    help="Target 'a' to simulate for y = ax + b")
+parser.add_argument("--target_b", default=0.3, type=float,
+                    help="Target 'b' to simulate for y = ax + b")
+parser.add_argument("--batch_size", default=100, type=int,
+                    help="Batch size for inference")
+parser.add_argument("--num_batch", default=100, type=int,
+                    help="Number of batches to send")
+parser.add_argument("--batch_interval_seconds", default=1, type=int,
+                    help="Interval seconds between batches")
+
+
+if __name__ == "__main__":
+    args = parser.parse_args()
+    # open a gRPC channel
+    channel = grpc.insecure_channel(args.rpc_endpoint)
+    # create a stub (client)
+    stub = mobius_pb2_grpc.MobiusStub(channel)
+
+    for i in range(args.num_batch):
+        x, y = util.generate_linear_x_y_data(
+            args.batch_size, args.target_a, args.target_b,
+            util.now_millis() / 1000)
+        # create a valid request message
+        request = mobius_pb2.InferRequest(x=x)
+        # make the call
+        response = stub.Infer(request)
+
+        A = numpy.array(y)
+        B = numpy.array(response.y)
+        mean_error = ((A - B) ** 2).mean()
+        # print response
+        print 'batch', i, 'mean squared error', mean_error
+
+        time.sleep(args.batch_interval_seconds)

demo/generate_proto.sh

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+# Generate pb file for Python RPC
+python -m grpc_tools.protoc -Iproto -I/usr/local/include -I$GOPATH/src/github.com/grpc-ecosystem/grpc-gateway/third_party/googleapis  --python_out=proto --grpc_python_out=proto mobius.proto
+
+# Generate pb file for Go gateway
+protoc -I/usr/local/include -Iproto -I$GOPATH/src -I$GOPATH/src/github.com/grpc-ecosystem/grpc-gateway/third_party/googleapis --grpc-gateway_out=logtostderr=true:go_gateway mobius.proto
+# Generate pb file for Go RPC
+protoc -I/usr/local/include -Iproto -I$GOPATH/src/github.com/grpc-ecosystem/grpc-gateway/third_party/googleapis --go_out=plugins=grpc:go_gateway mobius.proto