blob: e143d3b6e36958196134f297f7092065ad4a5ea7 [file] [log] [blame]
/*
* 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.
*/
package org.apache.solr.ltr.model;
import java.util.Collection;
import java.util.List;
import java.util.Map;
import org.apache.lucene.index.LeafReaderContext;
import org.apache.lucene.search.Explanation;
import org.apache.solr.ltr.feature.Feature;
import org.apache.solr.ltr.norm.Normalizer;
/**
* A scoring model that wraps the other model.
*
* <p>This model loads a model from an external resource during the initialization.
* The way of fetching the wrapped model is depended on
* the implementation of {@link WrapperModel#fetchModelMap()}.
*
* <p>This model doesn't hold the actual parameters of the wrapped model,
* thus it can manage large models which are difficult to upload to ZooKeeper.
*
* <p>Example configuration:
* <pre>{
"class": "...",
"name": "myModelName",
"params": {
...
}
}</pre>
*
* <p>NOTE: no "features" are configured in the wrapper model
* because the wrapped model's features will be used instead.
* Also note that if a "store" is configured for the wrapper
* model then it must match the "store" of the wrapped model.
*/
public abstract class WrapperModel extends AdapterModel {
protected LTRScoringModel model;
@Override
public int hashCode() {
final int prime = 31;
int result = super.hashCode();
result = prime * result + ((model == null) ? 0 : model.hashCode());
result = prime * result + ((solrResourceLoader == null) ? 0 : solrResourceLoader.hashCode());
return result;
}
@Override
public boolean equals(Object obj) {
if (this == obj) return true;
if (!super.equals(obj)) return false;
if (getClass() != obj.getClass()) return false;
WrapperModel other = (WrapperModel) obj;
if (model == null) {
if (other.model != null) return false;
} else if (!model.equals(other.model)) return false;
if (solrResourceLoader == null) {
if (other.solrResourceLoader != null) return false;
} else if (!solrResourceLoader.equals(other.solrResourceLoader)) return false;
return true;
}
public WrapperModel(String name, List<Feature> features, List<Normalizer> norms, String featureStoreName,
List<Feature> allFeatures, Map<String, Object> params) {
super(name, features, norms, featureStoreName, allFeatures, params);
}
@Override
protected void validate() throws ModelException {
if (!features.isEmpty()) {
throw new ModelException("features must be empty for the wrapper model " + name);
}
if (!norms.isEmpty()) {
throw new ModelException("norms must be empty for the wrapper model " + name);
}
if (model != null) {
super.validate();
model.validate();
// check feature store names match
final String wrappedFeatureStoreName = model.getFeatureStoreName();
if (wrappedFeatureStoreName == null || !wrappedFeatureStoreName.equals(this.getFeatureStoreName())) {
throw new ModelException("wrapper feature store name ("+this.getFeatureStoreName() +")"
+ " must match the "
+ "wrapped feature store name ("+wrappedFeatureStoreName+")");
}
}
}
public void updateModel(LTRScoringModel model) {
this.model = model;
validate();
}
/*
* The child classes must implement how to fetch the definition of the wrapped model.
*/
public abstract Map<String, Object> fetchModelMap() throws ModelException;
@Override
public List<Normalizer> getNorms() {
return model.getNorms();
}
@Override
public List<Feature> getFeatures() {
return model.getFeatures();
}
@Override
public Collection<Feature> getAllFeatures() {
return model.getAllFeatures();
}
@Override
public long ramBytesUsed() {
return model.ramBytesUsed();
}
@Override
public float score(float[] modelFeatureValuesNormalized) {
return model.score(modelFeatureValuesNormalized);
}
@Override
public Explanation explain(LeafReaderContext context, int doc, float finalScore,
List<Explanation> featureExplanations) {
return model.explain(context, doc, finalScore, featureExplanations);
}
@Override
public void normalizeFeaturesInPlace(float[] modelFeatureValues) {
model.normalizeFeaturesInPlace(modelFeatureValues);
}
@Override
public Explanation getNormalizerExplanation(Explanation e, int idx) {
return model.getNormalizerExplanation(e, idx);
}
@Override
public String toString() {
final StringBuilder sb = new StringBuilder(getClass().getSimpleName());
sb.append("(name=").append(getName());
sb.append(",model=(").append(model.toString()).append(")");
return sb.toString();
}
}