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org.codelibs.elasticsearch.taste.river.handler.EvalItemsFromUserHandler Maven / Gradle / Ivy
package org.codelibs.elasticsearch.taste.river.handler;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import java.util.UUID;
import org.apache.mahout.common.RandomUtils;
import org.codelibs.elasticsearch.taste.eval.Evaluation;
import org.codelibs.elasticsearch.taste.eval.EvaluationConfig;
import org.codelibs.elasticsearch.taste.eval.Evaluator;
import org.codelibs.elasticsearch.taste.eval.EvaluatorFactory;
import org.codelibs.elasticsearch.taste.eval.RecommenderBuilder;
import org.codelibs.elasticsearch.taste.exception.TasteException;
import org.codelibs.elasticsearch.taste.model.DataModel;
import org.codelibs.elasticsearch.taste.model.ElasticsearchDataModel;
import org.codelibs.elasticsearch.taste.model.IndexInfo;
import org.codelibs.elasticsearch.taste.recommender.UserBasedRecommenderBuilder;
import org.codelibs.elasticsearch.taste.service.TasteService;
import org.codelibs.elasticsearch.taste.writer.ObjectWriter;
import org.codelibs.elasticsearch.taste.writer.ResultWriter;
import org.codelibs.elasticsearch.util.admin.ClusterUtils;
import org.codelibs.elasticsearch.util.io.IOUtils;
import org.codelibs.elasticsearch.util.settings.SettingsUtils;
import org.elasticsearch.client.Client;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.XContentFactory;
import org.elasticsearch.river.RiverSettings;
public class EvalItemsFromUserHandler extends RecommendationHandler {
private Evaluator evaluator;
public EvalItemsFromUserHandler(final RiverSettings settings,
final Client client, final TasteService tasteService) {
super(settings, client, tasteService);
}
@Override
public void execute() {
final double trainingPercentage = SettingsUtils.get(rootSettings,
"training_percentage", 1.0);
final double evaluationPercentage = SettingsUtils.get(rootSettings,
"evaluation_percentage", 1.0);
final double marginForError = SettingsUtils.get(rootSettings,
"margin_for_error", 0.5);
final EvaluationConfig config = new EvaluationConfig();
config.setTrainingPercentage(trainingPercentage);
config.setEvaluationPercentage(evaluationPercentage);
config.setMarginForError((float) marginForError);
final Map indexInfoSettings = SettingsUtils.get(
rootSettings, "index_info");
final IndexInfo indexInfo = new IndexInfo(indexInfoSettings);
final Map modelInfoSettings = SettingsUtils.get(
rootSettings, "data_model");
final ElasticsearchDataModel dataModel = createDataModel(client,
indexInfo, modelInfoSettings);
ClusterUtils.waitForAvailable(client, indexInfo.getUserIndex(),
indexInfo.getItemIndex(), indexInfo.getPreferenceIndex(),
indexInfo.getReportIndex());
final RecommenderBuilder recommenderBuilder = new UserBasedRecommenderBuilder(
indexInfo, rootSettings);
final Map evaluatorSettings = SettingsUtils.get(
rootSettings, "evaluator");
evaluator = createEvaluator(evaluatorSettings);
final ObjectWriter writer = createReportWriter(indexInfo);
final Map resultSettings = SettingsUtils.get(
rootSettings, "result", new HashMap());
final Boolean writerEnabled = SettingsUtils.get(resultSettings,
"enabled", false);
if (writerEnabled.booleanValue()) {
final int maxQueueSize = SettingsUtils.get(resultSettings,
"queue_size", 1000);
final ResultWriter resultWriter = createResultWriter(indexInfo,
maxQueueSize);
if (resultWriter != null) {
evaluator.setResultWriter(resultWriter);
}
}
evaluate(dataModel, recommenderBuilder, evaluator, writer, config);
}
protected void evaluate(final DataModel dataModel,
final RecommenderBuilder recommenderBuilder,
final Evaluator evaluator, final ObjectWriter writer,
final EvaluationConfig config) {
RandomUtils.useTestSeed();
try {
long time = System.currentTimeMillis();
final Evaluation evaluation = evaluator.evaluate(
recommenderBuilder, dataModel, config);
time = System.currentTimeMillis() - time;
String reportType;
if (recommenderBuilder instanceof UserBasedRecommenderBuilder) {
reportType = "user_based";
} else {
reportType = "unknown";
}
final Map rootObj = new HashMap<>();
rootObj.put("report_type", reportType);
rootObj.put("evaluator_id", evaluator.getId());
final Map evaluationObj = new HashMap<>();
final Map timeObj = new HashMap<>();
timeObj.put("average_processing",
evaluation.getAverageProcessingTime());
timeObj.put("max_processing", evaluation.getMaxProcessingTime());
timeObj.put("total_processing", evaluation.getTotalProcessingTime());
evaluationObj.put("time", timeObj);
final Map preferenceObj = new HashMap<>();
preferenceObj.put("success", evaluation.getSuccessful());
preferenceObj.put("failure", evaluation.getFailure());
preferenceObj.put("no_estimate", evaluation.getNoEstimate());
preferenceObj.put("total", evaluation.getTotalPreference());
evaluationObj.put("preference", preferenceObj);
final Map targetObj = new HashMap<>();
targetObj.put("training", evaluation.getTraining());
targetObj.put("test", evaluation.getTest());
evaluationObj.put("target", targetObj);
evaluationObj.put("score", evaluation.getScore());
rootObj.put("evaluation", evaluationObj);
final Map configObj = new HashMap<>();
configObj
.put("training_percentage", config.getTrainingPercentage());
configObj.put("evaluation_percentage",
config.getEvaluationPercentage());
configObj.put("margin_for_error", config.getMarginForError());
rootObj.put("config", configObj);
writer.write(rootObj);
} catch (final TasteException e) {
logger.error("Evaluator {}({}) is failed.", e, evaluator, config);
} finally {
IOUtils.closeQuietly(writer);
}
}
protected ResultWriter createResultWriter(final IndexInfo indexInfo,
final int maxQueueSize) {
final ResultWriter writer = new ResultWriter(client,
indexInfo.getResultIndex(), indexInfo.getResultType());
writer.setUserIdField(indexInfo.getUserIdField());
writer.setItemIdField(indexInfo.getItemIdField());
writer.setMaxQueueSize(maxQueueSize);
writer.setTimestampField(indexInfo.getTimestampField());
try {
final XContentBuilder builder = XContentFactory.jsonBuilder()//
.startObject()//
.startObject(indexInfo.getResultType())//
.startObject("properties")//
// @timestamp
.startObject(indexInfo.getTimestampField())//
.field("type", "date")//
.field("format", "dateOptionalTime")//
.endObject()//
// result_type
.startObject("result_type")//
.field("type", "string")//
.field("index", "not_analyzed")//
.endObject()//
// evaluator_id
.startObject("evaluator_id")//
.field("type", "string")//
.field("index", "not_analyzed")//
.endObject()//
// user_id
.startObject(indexInfo.getItemIdField())//
.field("type", "long")//
.endObject()//
// item_id
.startObject(indexInfo.getItemIdField())//
.field("type", "long")//
.endObject()//
// actual
.startObject("actual")//
.field("type", "float")//
.endObject()//
// estimate
.startObject("estimate")//
.field("type", "float")//
.endObject()//
// computing_time
.startObject("computing_time")//
.field("type", "long")//
.endObject()//
.endObject()//
.endObject()//
.endObject();
writer.setMapping(builder);
} catch (final IOException e) {
logger.info("Failed to create a mapping {}/{}.", e,
indexInfo.getReportIndex(), indexInfo.getReportType());
}
writer.open();
return writer;
}
protected Evaluator createEvaluator(
final Map evaluatorSettings) {
final String factoryName = SettingsUtils.get(evaluatorSettings,
"factory",
"org.codelibs.elasticsearch.taste.eval.RMSEvaluatorFactory");
try {
final Class clazz = Class.forName(factoryName);
final EvaluatorFactory recommenderEvaluatorFactory = (EvaluatorFactory) clazz
.newInstance();
recommenderEvaluatorFactory.init(evaluatorSettings);
final Evaluator evaluator = recommenderEvaluatorFactory.create();
final String evaluatorId = SettingsUtils.get(evaluatorSettings,
"id", UUID.randomUUID().toString().replace("-", ""));
evaluator.setId(evaluatorId);
return evaluator;
} catch (ClassNotFoundException | InstantiationException
| IllegalAccessException e) {
throw new TasteException("Could not create an instance of "
+ factoryName, e);
}
}
protected ObjectWriter createReportWriter(final IndexInfo indexInfo) {
final ObjectWriter writer = new ObjectWriter(client,
indexInfo.getReportIndex(), indexInfo.getReportType());
writer.setTimestampField(indexInfo.getTimestampField());
try {
final XContentBuilder builder = XContentFactory.jsonBuilder()//
.startObject()//
.startObject(indexInfo.getReportType())//
.startObject("properties")//
// @timestamp
.startObject(indexInfo.getTimestampField())//
.field("type", "date")//
.field("format", "dateOptionalTime")//
.endObject()//
// report_type
.startObject("report_type")//
.field("type", "string")//
.field("index", "not_analyzed")//
.endObject()//
// evaluator_id
.startObject("evaluator_id")//
.field("type", "string")//
.field("index", "not_analyzed")//
.endObject()//
.endObject()//
.endObject()//
.endObject();
writer.setMapping(builder);
} catch (final IOException e) {
logger.info("Failed to create a mapping {}/{}.", e,
indexInfo.getReportIndex(), indexInfo.getReportType());
}
writer.open();
return writer;
}
@Override
public void close() {
evaluator.interrupt();
}
}
