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org.codelibs.elasticsearch.search.suggest.Suggest Maven / Gradle / Ivy
/*
* Licensed to Elasticsearch under one or more contributor
* license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright
* ownership. Elasticsearch 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.codelibs.elasticsearch.search.suggest;
import org.apache.lucene.util.CollectionUtil;
import org.codelibs.elasticsearch.common.io.stream.StreamInput;
import org.codelibs.elasticsearch.common.io.stream.StreamOutput;
import org.codelibs.elasticsearch.common.io.stream.Streamable;
import org.codelibs.elasticsearch.common.text.Text;
import org.codelibs.elasticsearch.common.xcontent.ToXContent;
import org.codelibs.elasticsearch.common.xcontent.XContentBuilder;
import org.codelibs.elasticsearch.common.xcontent.XContentFactory;
import org.codelibs.elasticsearch.search.suggest.Suggest.Suggestion.Entry;
import org.codelibs.elasticsearch.search.suggest.Suggest.Suggestion.Entry.Option;
import org.codelibs.elasticsearch.search.suggest.completion.CompletionSuggestion;
import org.codelibs.elasticsearch.search.suggest.phrase.PhraseSuggestion;
import org.codelibs.elasticsearch.search.suggest.term.TermSuggestion;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Comparator;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
/**
* Top level suggest result, containing the result for each suggestion.
*/
public class Suggest implements Iterable>>, Streamable, ToXContent {
private static final String NAME = "suggest";
public static final Comparator COMPARATOR = (first, second) -> {
int cmp = Float.compare(second.getScore(), first.getScore());
if (cmp != 0) {
return cmp;
}
return first.getText().compareTo(second.getText());
};
private List>> suggestions;
private boolean hasScoreDocs;
private Map>> suggestMap;
public Suggest() {
this(Collections.emptyList());
}
public Suggest(List>> suggestions) {
// we sort suggestions by their names to ensure iteration over suggestions are consistent
// this is needed as we need to fill in suggestion docs in SearchPhaseController#sortDocs
// in the same order as we enrich the suggestions with fetch results in SearchPhaseController#merge
suggestions.sort((o1, o2) -> o1.getName().compareTo(o2.getName()));
this.suggestions = suggestions;
this.hasScoreDocs = filter(CompletionSuggestion.class).stream().anyMatch(CompletionSuggestion::hasScoreDocs);
}
@Override
public Iterator>> iterator() {
return suggestions.iterator();
}
/**
* The number of suggestions in this {Suggest} result
*/
public int size() {
return suggestions.size();
}
public >> T getSuggestion(String name) {
if (suggestions.isEmpty() || name == null) {
return null;
} else if (suggestions.size() == 1) {
return (T) (name.equals(suggestions.get(0).name) ? suggestions.get(0) : null);
} else if (this.suggestMap == null) {
suggestMap = new HashMap<>();
for (Suggest.Suggestion> item : suggestions) {
suggestMap.put(item.getName(), item);
}
}
return (T) suggestMap.get(name);
}
/**
* Whether any suggestions had query hits
*/
public boolean hasScoreDocs() {
return hasScoreDocs;
}
@Override
public void readFrom(StreamInput in) throws IOException {
final int size = in.readVInt();
suggestions = new ArrayList<>(size);
for (int i = 0; i < size; i++) {
// TODO: remove these complicated generics
Suggestion> suggestion;
final int type = in.readVInt();
switch (type) {
case TermSuggestion.TYPE:
suggestion = new TermSuggestion();
break;
case CompletionSuggestion.TYPE:
suggestion = new CompletionSuggestion();
break;
case org.codelibs.elasticsearch.search.suggest.completion2x.CompletionSuggestion.TYPE:
suggestion = new org.codelibs.elasticsearch.search.suggest.completion2x.CompletionSuggestion();
break;
case PhraseSuggestion.TYPE:
suggestion = new PhraseSuggestion();
break;
default:
suggestion = new Suggestion();
break;
}
suggestion.readFrom(in);
suggestions.add(suggestion);
}
hasScoreDocs = filter(CompletionSuggestion.class).stream().anyMatch(CompletionSuggestion::hasScoreDocs);
}
@Override
public void writeTo(StreamOutput out) throws IOException {
out.writeVInt(suggestions.size());
for (Suggestion command : suggestions) {
out.writeVInt(command.getType());
command.writeTo(out);
}
}
@Override
public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
builder.startObject(NAME);
toInnerXContent(builder, params);
builder.endObject();
return builder;
}
/**
* use to write suggestion entries without NAME object
*/
public XContentBuilder toInnerXContent(XContentBuilder builder, Params params) throws IOException {
for (Suggestion suggestion : suggestions) {
suggestion.toXContent(builder, params);
}
return builder;
}
public static Suggest readSuggest(StreamInput in) throws IOException {
Suggest result = new Suggest();
result.readFrom(in);
return result;
}
public static List>> reduce(Map> groupedSuggestions) {
List>> reduced = new ArrayList<>(groupedSuggestions.size());
for (java.util.Map.Entry> unmergedResults : groupedSuggestions.entrySet()) {
List value = unmergedResults.getValue();
Class suggestionClass = null;
for (Suggestion suggestion : value) {
if (suggestionClass == null) {
suggestionClass = suggestion.getClass();
} else if (suggestionClass != suggestion.getClass()) {
throw new IllegalArgumentException(
"detected mixed suggestion results, due to querying on old and new completion suggester," +
" query on a single completion suggester version");
}
}
Suggestion reduce = value.get(0).reduce(value);
reduce.trim();
reduced.add(reduce);
}
return reduced;
}
/**
* @return only suggestions of type suggestionType contained in this {Suggest} instance
*/
public List filter(Class suggestionType) {
return suggestions.stream()
.filter(suggestion -> suggestion.getClass() == suggestionType)
.map(suggestion -> (T) suggestion)
.collect(Collectors.toList());
}
/**
* The suggestion responses corresponding with the suggestions in the request.
*/
public static class Suggestion implements Iterable, Streamable, ToXContent {
public static final int TYPE = 0;
protected String name;
protected int size;
protected final List entries = new ArrayList<>(5);
public Suggestion() {
}
public Suggestion(String name, int size) {
this.name = name;
this.size = size; // The suggested term size specified in request, only used for merging shard responses
}
public void addTerm(T entry) {
entries.add(entry);
}
public int getType() {
return TYPE;
}
@Override
public Iterator iterator() {
return entries.iterator();
}
/**
* @return The entries for this suggestion.
*/
public List getEntries() {
return entries;
}
/**
* @return The name of the suggestion as is defined in the request.
*/
public String getName() {
return name;
}
/**
* @return The number of requested suggestion option size
*/
public int getSize() {
return size;
}
/**
* Merges the result of another suggestion into this suggestion.
* For internal usage.
*/
public Suggestion reduce(List> toReduce) {
if (toReduce.size() == 1) {
return toReduce.get(0);
} else if (toReduce.isEmpty()) {
return null;
}
Suggestion leader = toReduce.get(0);
List entries = leader.entries;
final int size = entries.size();
Comparator sortComparator = sortComparator();
List currentEntries = new ArrayList<>();
for (int i = 0; i < size; i++) {
for (Suggestion suggestion : toReduce) {
if(suggestion.entries.size() != size) {
throw new IllegalStateException("Can't merge suggest result, this might be caused by suggest calls " +
"across multiple indices with different analysis chains. Suggest entries have different sizes actual [" +
suggestion.entries.size() + "] expected [" + size +"]");
}
assert suggestion.name.equals(leader.name);
currentEntries.add(suggestion.entries.get(i));
}
T entry = (T) entries.get(i).reduce(currentEntries);
entry.sort(sortComparator);
entries.set(i, entry);
currentEntries.clear();
}
return leader;
}
protected Comparator sortComparator() {
return COMPARATOR;
}
/**
* Trims the number of options per suggest text term to the requested size.
* For internal usage.
*/
public void trim() {
for (Entry entry : entries) {
entry.trim(size);
}
}
@Override
public void readFrom(StreamInput in) throws IOException {
innerReadFrom(in);
int size = in.readVInt();
entries.clear();
for (int i = 0; i < size; i++) {
T newEntry = newEntry();
newEntry.readFrom(in);
entries.add(newEntry);
}
}
protected T newEntry() {
return (T)new Entry();
}
protected void innerReadFrom(StreamInput in) throws IOException {
name = in.readString();
size = in.readVInt();
}
@Override
public void writeTo(StreamOutput out) throws IOException {
innerWriteTo(out);
out.writeVInt(entries.size());
for (Entry entry : entries) {
entry.writeTo(out);
}
}
public void innerWriteTo(StreamOutput out) throws IOException {
out.writeString(name);
out.writeVInt(size);
}
@Override
public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
builder.startArray(name);
for (Entry entry : entries) {
entry.toXContent(builder, params);
}
builder.endArray();
return builder;
}
/**
* Represents a part from the suggest text with suggested options.
*/
public static class Entry implements Iterable, Streamable, ToXContent {
static class Fields {
static final String TEXT = "text";
static final String OFFSET = "offset";
static final String LENGTH = "length";
static final String OPTIONS = "options";
}
protected Text text;
protected int offset;
protected int length;
protected List options;
public Entry(Text text, int offset, int length) {
this.text = text;
this.offset = offset;
this.length = length;
this.options = new ArrayList<>(5);
}
public Entry() {
}
public void addOption(O option) {
options.add(option);
}
protected void sort(Comparator comparator) {
CollectionUtil.timSort(options, comparator);
}
protected > Entry reduce(List toReduce) {
if (toReduce.size() == 1) {
return toReduce.get(0);
}
final Map entries = new HashMap<>();
Entry leader = toReduce.get(0);
for (Entry entry : toReduce) {
if (!leader.text.equals(entry.text)) {
throw new IllegalStateException("Can't merge suggest entries, this might be caused by suggest calls " +
"across multiple indices with different analysis chains. Suggest entries have different text actual [" +
entry.text + "] expected [" + leader.text +"]");
}
assert leader.offset == entry.offset;
assert leader.length == entry.length;
leader.merge(entry);
for (O option : entry) {
O merger = entries.get(option);
if (merger == null) {
entries.put(option, option);
} else {
merger.mergeInto(option);
}
}
}
leader.options.clear();
for (O option: entries.keySet()) {
leader.addOption(option);
}
return leader;
}
/**
* Merge any extra fields for this subtype.
*/
protected void merge(Entry other) {
}
/**
* @return the text (analyzed by suggest analyzer) originating from the suggest text. Usually this is a
* single term.
*/
public Text getText() {
return text;
}
/**
* @return the start offset (not analyzed) for this entry in the suggest text.
*/
public int getOffset() {
return offset;
}
/**
* @return the length (not analyzed) for this entry in the suggest text.
*/
public int getLength() {
return length;
}
@Override
public Iterator iterator() {
return options.iterator();
}
/**
* @return The suggested options for this particular suggest entry. If there are no suggested terms then
* an empty list is returned.
*/
public List getOptions() {
return options;
}
void trim(int size) {
int optionsToRemove = Math.max(0, options.size() - size);
for (int i = 0; i < optionsToRemove; i++) {
options.remove(options.size() - 1);
}
}
@Override
public boolean equals(Object o) {
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
Entry entry = (Entry) o;
if (length != entry.length) {
return false;
}
if (offset != entry.offset) {
return false;
}
if (!this.text.equals(entry.text)) {
return false;
}
return true;
}
@Override
public int hashCode() {
int result = text.hashCode();
result = 31 * result + offset;
result = 31 * result + length;
return result;
}
@Override
public void readFrom(StreamInput in) throws IOException {
text = in.readText();
offset = in.readVInt();
length = in.readVInt();
int suggestedWords = in.readVInt();
options = new ArrayList<>(suggestedWords);
for (int j = 0; j < suggestedWords; j++) {
O newOption = newOption();
newOption.readFrom(in);
options.add(newOption);
}
}
protected O newOption(){
return (O) new Option();
}
@Override
public void writeTo(StreamOutput out) throws IOException {
out.writeText(text);
out.writeVInt(offset);
out.writeVInt(length);
out.writeVInt(options.size());
for (Option option : options) {
option.writeTo(out);
}
}
@Override
public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
builder.startObject();
builder.field(Fields.TEXT, text);
builder.field(Fields.OFFSET, offset);
builder.field(Fields.LENGTH, length);
builder.startArray(Fields.OPTIONS);
for (Option option : options) {
option.toXContent(builder, params);
}
builder.endArray();
builder.endObject();
return builder;
}
/**
* Contains the suggested text with its document frequency and score.
*/
public static class Option implements Streamable, ToXContent {
static class Fields {
static final String TEXT = "text";
static final String HIGHLIGHTED = "highlighted";
static final String SCORE = "score";
static final String COLLATE_MATCH = "collate_match";
}
private Text text;
private Text highlighted;
private float score;
private Boolean collateMatch;
public Option(Text text, Text highlighted, float score, Boolean collateMatch) {
this.text = text;
this.highlighted = highlighted;
this.score = score;
this.collateMatch = collateMatch;
}
public Option(Text text, Text highlighted, float score) {
this(text, highlighted, score, null);
}
public Option(Text text, float score) {
this(text, null, score);
}
public Option() {
}
/**
* @return The actual suggested text.
*/
public Text getText() {
return text;
}
/**
* @return Copy of suggested text with changes from user supplied text highlighted.
*/
public Text getHighlighted() {
return highlighted;
}
/**
* @return The score based on the edit distance difference between the suggested term and the
* term in the suggest text.
*/
public float getScore() {
return score;
}
/**
* @return true if collation has found a match for the entry.
* if collate was not set, the value defaults to true
*/
public boolean collateMatch() {
return (collateMatch != null) ? collateMatch : true;
}
protected void setScore(float score) {
this.score = score;
}
@Override
public void readFrom(StreamInput in) throws IOException {
text = in.readText();
score = in.readFloat();
highlighted = in.readOptionalText();
collateMatch = in.readOptionalBoolean();
}
@Override
public void writeTo(StreamOutput out) throws IOException {
out.writeText(text);
out.writeFloat(score);
out.writeOptionalText(highlighted);
out.writeOptionalBoolean(collateMatch);
}
@Override
public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
builder.startObject();
innerToXContent(builder, params);
builder.endObject();
return builder;
}
protected XContentBuilder innerToXContent(XContentBuilder builder, Params params) throws IOException {
builder.field(Fields.TEXT, text);
if (highlighted != null) {
builder.field(Fields.HIGHLIGHTED, highlighted);
}
builder.field(Fields.SCORE, score);
if (collateMatch != null) {
builder.field(Fields.COLLATE_MATCH, collateMatch.booleanValue());
}
return builder;
}
protected void mergeInto(Option otherOption) {
score = Math.max(score, otherOption.score);
}
@Override
public boolean equals(Object o) {
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
Option that = (Option) o;
return text.equals(that.text);
}
@Override
public int hashCode() {
return text.hashCode();
}
}
}
}
@Override
public String toString() {
try {
XContentBuilder builder = XContentFactory.jsonBuilder().prettyPrint();
builder.startObject();
toXContent(builder, EMPTY_PARAMS);
builder.endObject();
return builder.string();
} catch (IOException e) {
return "{ \"error\" : \"" + e.getMessage() + "\"}";
}
}
}
