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270 lines
8.1 KiB
PHP
270 lines
8.1 KiB
PHP
<?php
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namespace BookStack\Entities\Tools;
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use BookStack\Actions\Tag;
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use BookStack\Entities\EntityProvider;
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use BookStack\Entities\Models\Entity;
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use BookStack\Entities\Models\Page;
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use BookStack\Entities\Models\SearchTerm;
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use DOMDocument;
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use DOMNode;
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use Illuminate\Database\Eloquent\Builder;
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use Illuminate\Support\Collection;
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class SearchIndex
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{
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/**
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* A list of delimiter characters used to break-up parsed content into terms for indexing.
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*
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* @var string
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*/
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public static $delimiters = " \n\t.,!?:;()[]{}<>`'\"";
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/**
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* @var EntityProvider
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*/
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protected $entityProvider;
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public function __construct(EntityProvider $entityProvider)
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{
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$this->entityProvider = $entityProvider;
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}
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/**
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* Index the given entity.
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*/
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public function indexEntity(Entity $entity)
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{
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$this->deleteEntityTerms($entity);
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$terms = $this->entityToTermDataArray($entity);
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SearchTerm::query()->insert($terms);
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}
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/**
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* Index multiple Entities at once.
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*
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* @param Entity[] $entities
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*/
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public function indexEntities(array $entities)
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{
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$terms = [];
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foreach ($entities as $entity) {
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$entityTerms = $this->entityToTermDataArray($entity);
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array_push($terms, ...$entityTerms);
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}
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$chunkedTerms = array_chunk($terms, 500);
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foreach ($chunkedTerms as $termChunk) {
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SearchTerm::query()->insert($termChunk);
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}
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}
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/**
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* Delete and re-index the terms for all entities in the system.
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* Can take a callback which is used for reporting progress.
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* Callback receives three arguments:
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* - An instance of the model being processed
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* - The number that have been processed so far.
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* - The total number of that model to be processed.
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*
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* @param callable(Entity, int, int):void|null $progressCallback
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*/
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public function indexAllEntities(?callable $progressCallback = null)
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{
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SearchTerm::query()->truncate();
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foreach ($this->entityProvider->all() as $entityModel) {
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$indexContentField = $entityModel instanceof Page ? 'html' : 'description';
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$selectFields = ['id', 'name', $indexContentField];
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/** @var Builder<Entity> $query */
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$query = $entityModel->newQuery();
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$total = $query->withTrashed()->count();
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$chunkSize = 250;
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$processed = 0;
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$chunkCallback = function (Collection $entities) use ($progressCallback, &$processed, $total, $chunkSize, $entityModel) {
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$this->indexEntities($entities->all());
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$processed = min($processed + $chunkSize, $total);
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if (is_callable($progressCallback)) {
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$progressCallback($entityModel, $processed, $total);
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}
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};
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$entityModel->newQuery()
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->select($selectFields)
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->with(['tags:id,name,value,entity_id,entity_type'])
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->chunk($chunkSize, $chunkCallback);
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}
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}
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/**
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* Delete related Entity search terms.
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*/
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public function deleteEntityTerms(Entity $entity)
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{
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$entity->searchTerms()->delete();
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}
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/**
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* Create a scored term array from the given text, where the keys are the terms
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* and the values are their scores.
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*
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* @returns array<string, int>
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*/
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protected function generateTermScoreMapFromText(string $text, int $scoreAdjustment = 1): array
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{
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$termMap = $this->textToTermCountMap($text);
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foreach ($termMap as $term => $count) {
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$termMap[$term] = $count * $scoreAdjustment;
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}
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return $termMap;
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}
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/**
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* Create a scored term array from the given HTML, where the keys are the terms
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* and the values are their scores.
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*
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* @returns array<string, int>
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*/
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protected function generateTermScoreMapFromHtml(string $html): array
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{
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if (empty($html)) {
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return [];
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}
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$scoresByTerm = [];
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$elementScoreAdjustmentMap = [
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'h1' => 10,
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'h2' => 5,
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'h3' => 4,
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'h4' => 3,
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'h5' => 2,
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'h6' => 1.5,
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];
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$html = '<body>' . $html . '</body>';
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libxml_use_internal_errors(true);
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$doc = new DOMDocument();
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$doc->loadHTML(mb_convert_encoding($html, 'HTML-ENTITIES', 'UTF-8'));
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$topElems = $doc->documentElement->childNodes->item(0)->childNodes;
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/** @var DOMNode $child */
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foreach ($topElems as $child) {
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$nodeName = $child->nodeName;
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$termCounts = $this->textToTermCountMap(trim($child->textContent));
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foreach ($termCounts as $term => $count) {
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$scoreChange = $count * ($elementScoreAdjustmentMap[$nodeName] ?? 1);
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$scoresByTerm[$term] = ($scoresByTerm[$term] ?? 0) + $scoreChange;
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}
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}
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return $scoresByTerm;
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}
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/**
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* Create a scored term map from the given set of entity tags.
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*
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* @param Tag[] $tags
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*
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* @returns array<string, int>
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*/
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protected function generateTermScoreMapFromTags(array $tags): array
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{
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$scoreMap = [];
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$names = [];
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$values = [];
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foreach ($tags as $tag) {
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$names[] = $tag->name;
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$values[] = $tag->value;
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}
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$nameMap = $this->generateTermScoreMapFromText(implode(' ', $names), 3);
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$valueMap = $this->generateTermScoreMapFromText(implode(' ', $values), 5);
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return $this->mergeTermScoreMaps($nameMap, $valueMap);
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}
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/**
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* For the given text, return an array where the keys are the unique term words
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* and the values are the frequency of that term.
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*
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* @returns array<string, int>
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*/
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protected function textToTermCountMap(string $text): array
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{
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$tokenMap = []; // {TextToken => OccurrenceCount}
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$splitChars = static::$delimiters;
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$token = strtok($text, $splitChars);
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while ($token !== false) {
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if (!isset($tokenMap[$token])) {
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$tokenMap[$token] = 0;
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}
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$tokenMap[$token]++;
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$token = strtok($splitChars);
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}
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return $tokenMap;
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}
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/**
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* For the given entity, Generate an array of term data details.
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* Is the raw term data, not instances of SearchTerm models.
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*
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* @returns array{term: string, score: float, entity_id: int, entity_type: string}[]
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*/
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protected function entityToTermDataArray(Entity $entity): array
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{
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$nameTermsMap = $this->generateTermScoreMapFromText($entity->name, 40 * $entity->searchFactor);
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$tagTermsMap = $this->generateTermScoreMapFromTags($entity->tags->all());
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if ($entity instanceof Page) {
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$bodyTermsMap = $this->generateTermScoreMapFromHtml($entity->html);
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} else {
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$bodyTermsMap = $this->generateTermScoreMapFromText($entity->getAttribute('description') ?? '', $entity->searchFactor);
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}
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$mergedScoreMap = $this->mergeTermScoreMaps($nameTermsMap, $bodyTermsMap, $tagTermsMap);
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$dataArray = [];
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$entityId = $entity->id;
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$entityType = $entity->getMorphClass();
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foreach ($mergedScoreMap as $term => $score) {
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$dataArray[] = [
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'term' => $term,
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'score' => $score,
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'entity_type' => $entityType,
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'entity_id' => $entityId,
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];
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}
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return $dataArray;
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}
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/**
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* For the given term data arrays, Merge their contents by term
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* while combining any scores.
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*
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* @param array<string, int>[] ...$scoreMaps
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*
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* @returns array<string, int>
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*/
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protected function mergeTermScoreMaps(...$scoreMaps): array
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{
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$mergedMap = [];
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foreach ($scoreMaps as $scoreMap) {
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foreach ($scoreMap as $term => $score) {
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$mergedMap[$term] = ($mergedMap[$term] ?? 0) + $score;
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}
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}
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return $mergedMap;
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}
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}
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