fix python bug and add java client.

python/examples/encryption/README.md

+# Encryption Model Prediction
+
+([简体中文](README_CN.md)|English)
+
+## Get Origin Model
+
+The example uses the model file of the fit_a_line example as a origin model
+
+```
+sh get_data.sh
+```
+
+## Encrypt Model
+
+```
+python encrypt.py
+```
+The key is stored in the `key` file, and the encrypted model file and server-side configuration file are stored in the `encrypt_server` directory.
+client-side configuration file are stored in the `encrypt_client` directory.
+
+## Start Encryption Service
+CPU Service
+```
+python -m paddle_serving_server.serve --model encrypt_server/ --port 9300 --use_encryption_model
+```
+GPU Service
+```
+python -m paddle_serving_server_gpu.serve --model encrypt_server/ --port 9300 --use_encryption_model --gpu_ids 0
+```
+
+## Prediction
+```
+python test_client.py uci_housing_client/serving_client_conf.prototxt
+```

python/examples/encryption/README_CN.md

+# 加密模型预测
+
+(简体中文|[English](README.md))
+
+## 获取明文模型
+
+示例中使用fit_a_line示例的模型文件作为明文模型
+
+```
+sh get_data.sh
+```
+
+## 模型加密
+
+```
+python encrypt.py
+```
+密钥保存在`key`文件中，加密模型文件以及server端配置文件保存在`encrypt_server`目录下，client端配置文件保存在`encrypt_client`目录下。
+
+## 启动加密预测服务
+CPU预测服务
+```
+python -m paddle_serving_server.serve --model encrypt_server/ --port 9300 --use_encryption_model
+```
+GPU预测服务
+```
+python -m paddle_serving_server_gpu.serve --model encrypt_server/ --port 9300 --use_encryption_model --gpu_ids 0
+```
+
+## 预测
+```
+python test_client.py uci_housing_client/serving_client_conf.prototxt
+```

python/examples/encryption/encrypt.py

+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# 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 paddle_serving_client.io import inference_model_to_serving
+
+
+def serving_encryption():
+    inference_model_to_serving(
+        dirname="./uci_housing_model",
+        serving_server="encrypt_server",
+        serving_client="encrypt_client",
+        encryption=True)
+
+
+if __name__ == "__main__":
+    serving_encryption()

python/examples/encryption/get_data.sh

+wget --no-check-certificate https://paddle-serving.bj.bcebos.com/uci_housing_example/encrypt.tar.gz
+tar -xzf encrypt.tar.gz
+cp -rvf ../fit_a_line/uci_housing_model .
+cp -rvf ../fit_a_line/uci_housing_client .

python/examples/encryption/test_client.py

+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# 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.
+# pylint: disable=doc-string-missing
+
+from paddle_serving_client import Client
+import sys
+
+client = Client()
+client.load_client_config(sys.argv[1])
+client.use_key("./key")
+client.connect(["127.0.0.1:9300"], encryption=True)
+
+import paddle
+test_reader = paddle.batch(
+    paddle.reader.shuffle(
+        paddle.dataset.uci_housing.test(), buf_size=500),
+    batch_size=1)
+
+for data in test_reader():
+    fetch_map = client.predict(feed={"x": data[0][0]}, fetch=["price"])
+    print("{} {}".format(fetch_map["price"][0], data[0][1][0]))

python/examples/pipeline/simple_web_service/web_service_java.py

@@ -28,6 +28,11 @@ class UciOp(Op):
         self.separator = ","
 
     def preprocess(self, input_dicts, data_id, log_id):
+        """
+        diff with web_server.py
+	javaclient input type is INDArray, restful request input is list.
+	this function simply reshape input to the Specified shape.
+        """
         (_, input_dict), = input_dicts.items()
         _LOGGER.error("UciOp::preprocess >>> log_id:{}, input:{}".format(
             log_id, input_dict))