Java tutorial
/* ============================================================================ * * FILE: BootstrapConfigurator.java * The MIT License (MIT) Copyright (c) 2016 Sutanu Dalui Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. * * ============================================================================ */ package com.reactivetechnologies.analytics; import java.io.Serializable; import java.util.concurrent.ScheduledExecutorService; import javax.annotation.PostConstruct; import javax.annotation.PreDestroy; import javax.sql.DataSource; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.beans.factory.annotation.Value; import org.springframework.boot.context.properties.ConfigurationProperties; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.context.annotation.Primary; import org.springframework.data.repository.CrudRepository; import org.springframework.jdbc.core.JdbcTemplate; import org.springframework.jdbc.datasource.DriverManagerDataSource; import org.springframework.util.StringUtils; import com.google.gson.JsonObject; import com.reactivetechnologies.analytics.core.CachedIncrementalClassifierBean; import com.reactivetechnologies.analytics.core.dto.CombinerResult; import com.reactivetechnologies.analytics.core.dto.RegressionModel; import com.reactivetechnologies.analytics.core.handlers.MessageInterceptorBean; import com.reactivetechnologies.analytics.core.handlers.ModelFeederBean; import com.reactivetechnologies.analytics.mapper.DataMapperFactoryBean; import com.reactivetechnologies.analytics.mapper.DataMappers; import com.reactivetechnologies.analytics.store.ModelJdbcRepository; import com.reactivetechnologies.analytics.store.ModelPersistenceStore; import com.reactivetechnologies.analytics.utils.ConfigUtil; import com.reactivetechnologies.platform.ChannelMultiplexerBean; import com.reactivetechnologies.platform.ChannelMultiplexerFactoryBean; import com.reactivetechnologies.platform.datagrid.core.HazelcastClusterServiceBean; import com.reactivetechnologies.platform.defaults.DefaultOutboundChannelBean; import com.reactivetechnologies.platform.interceptor.AbstractInboundInterceptor; import com.reactivetechnologies.platform.message.Event; import com.reactivetechnologies.platform.utils.AbstractJsonSerializer; import com.reactivetechnologies.platform.utils.GsonWrapper; import weka.classifiers.Classifier; import weka.core.Utils; @Configuration public class BootstrapConfigurator { @Value("${weka.classifier}") private String wekaClassifier; @Value("${weka.classifier.options: }") private String options; /** * The core class that implements Weka functions. * @return * @throws Exception */ @Bean public RegressionModelEngine regressionBean() throws Exception { Classifier c = Classifier.forName(wekaClassifier, null); if (StringUtils.hasText(options)) { c.setOptions(Utils.splitOptions(options)); } return new CachedIncrementalClassifierBean(c, 1000); } /** * Factory bean to create instances of message flow, via a {@linkplain ChannelMultiplexerBean}. * @return */ @Bean public ChannelMultiplexerFactoryBean channelMultiplexerFactoryBean() { ChannelMultiplexerFactoryBean bean = new ChannelMultiplexerFactoryBean(); return bean; } /** * This is the main class that creates a "flow" of an inbound channel to feed through an outbound channel. * Here we create a flow for Weka messages, by setting the channel to a {@linkplain MessageInterceptorBean}. * @return * @throws Exception */ @Bean public ChannelMultiplexerBean wekaChannelMultiplexerBean() throws Exception { ChannelMultiplexerBean bean = channelMultiplexerFactoryBean().getObject(); bean.setChannel(inboundWeka()); return bean; } @Autowired HazelcastClusterServiceBean hzService; private ScheduledExecutorService scheduler; @Autowired private GsonWrapper gsonWrapper; @PostConstruct void onLoad() { hzService.setMapStoreImplementation(ConfigUtil.WEKA_MODEL_PERSIST_MAP, mapStore()); hzService.setMapConfiguration(WekaEventMapConfig.class); log.debug("Map store impl set.. "); try { gsonWrapper.registerTypeAdapter(new AbstractJsonSerializer<CombinerResult>(CombinerResult.class) { @Override protected void serializeToJson(CombinerResult object, JsonObject json) { addAsString("result", object.name(), json); addAsString("model_id", object.getModelId(), json); } }); log.debug("Json type adapter set.. "); } catch (IllegalAccessException e) { log.error("Json type adapter was not set", e); } } @PreDestroy void onUnload() { if (scheduler != null) { scheduler.shutdown(); } } private static final Logger log = LoggerFactory.getLogger(BootstrapConfigurator.class); /** * Factory bean for a composite of data mappers {@linkplain DataMappers}. This composite * class is basically a factory for creating the mappers. * @return */ @Bean public DataMapperFactoryBean mapperFactoryBean() { return new DataMapperFactoryBean(); } /** * Weka incoming channel. Clients should submit via an {@linkplain Event} wrapping the payload JSON * */ @Bean public AbstractInboundInterceptor<?, ? extends Serializable> inboundWeka() { MessageInterceptorBean in = new MessageInterceptorBean(); //link the outbound channel in.setOutChannel(outboundWeka()); return in; } /** * Weka outgoing channel. * @return */ @Bean public DefaultOutboundChannelBean outboundWeka() { DefaultOutboundChannelBean out = new DefaultOutboundChannelBean(); out.addFeeder(outboundWekaInterceptor()); return out; } /** * Weka outgoing channel feeder. Should invoke Weka functions * @return */ @Bean public ModelFeederBean outboundWekaInterceptor() { return new ModelFeederBean(); } //JDBC configurations @ConfigurationProperties(prefix = "spring.datasource") @Bean public DataSource unpooled() { return new DriverManagerDataSource(); } @Bean public JdbcTemplate jdbcTemplateUnpooled() { JdbcTemplate tmpl = new JdbcTemplate(unpooled()); return tmpl; } /** * The {@linkplain JdbcTemplate} is injected into this repository. * Extension point by implementing a CRUD repository * @return */ @Bean public CrudRepository<RegressionModel, String> repository() { return new ModelJdbcRepository(); } /** * The backing map store implementation. The {@linkplain CrudRepository} will be injected into this * @return */ @Bean @Primary public ModelPersistenceStore mapStore() { return new ModelPersistenceStore(); } }