| # Licensed to the Apache Software Foundation (ASF) under one or more |
| # contributor license agreements. See the NOTICE file distributed with |
| # this work for additional information regarding copyright ownership. |
| # The ASF licenses this file to You 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. |
| |
| import numpy as np |
| |
| |
| class WriteCallback: |
| def __init__(self, content): |
| self.content = content |
| |
| def process(self, output_stream): |
| output_stream.write(self.content.encode('utf-8')) |
| return len(self.content) |
| |
| |
| def describe(processor): |
| processor.setDescription("Draw random samples from a normal (Gaussian) distribution.") |
| |
| |
| def onInitialize(processor): |
| pass |
| |
| |
| def onTrigger(context, session): |
| flow_file = session.create() |
| mu = 0 |
| sigma = 0.1 |
| s = np.random.normal(mu, sigma, 1) |
| session.write(flow_file, WriteCallback(str(s[0]))) |
| session.transfer(flow_file, REL_SUCCESS) |
