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[Store] Split Local bridge into Cache and Memory bridges
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Store.php

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<?php
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/*
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* This file is part of the Symfony package.
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*
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* (c) Fabien Potencier <[email protected]>
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*
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* For the full copyright and license information, please view the LICENSE
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* file that was distributed with this source code.
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*/
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namespace Symfony\AI\Store\Bridge\Cache;
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use Psr\Cache\CacheItemPoolInterface;
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use Symfony\AI\Platform\Vector\Vector;
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use Symfony\AI\Store\Distance\DistanceCalculator;
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use Symfony\AI\Store\Document\Metadata;
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use Symfony\AI\Store\Document\VectorDocument;
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use Symfony\AI\Store\Exception\InvalidArgumentException;
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use Symfony\AI\Store\Exception\RuntimeException;
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use Symfony\AI\Store\ManagedStoreInterface;
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use Symfony\AI\Store\StoreInterface;
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use Symfony\Component\Uid\Uuid;
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use Symfony\Contracts\Cache\CacheInterface;
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/**
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* @author Guillaume Loulier <[email protected]>
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*/
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final class Store implements ManagedStoreInterface, StoreInterface
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{
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public function __construct(
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private readonly CacheInterface&CacheItemPoolInterface $cache,
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private readonly DistanceCalculator $distanceCalculator = new DistanceCalculator(),
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private readonly string $cacheKey = '_vectors',
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) {
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if (!interface_exists(CacheInterface::class)) {
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throw new RuntimeException('For using the Cache store as vector store, a symfony/contracts cache implementation is required. Try running "composer require symfony/cache" or another symfony/contracts compatible cache.');
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}
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}
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public function setup(array $options = []): void
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{
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if ([] !== $options) {
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throw new InvalidArgumentException('No supported options.');
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}
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if ($this->cache->hasItem($this->cacheKey)) {
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return;
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}
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$this->cache->get($this->cacheKey, static fn (): array => []);
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}
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public function add(VectorDocument ...$documents): void
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{
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$existingVectors = $this->cache->get($this->cacheKey, static fn (): array => []);
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$newVectors = array_map(static fn (VectorDocument $document): array => [
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'id' => $document->id->toRfc4122(),
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'vector' => $document->vector->getData(),
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'metadata' => $document->metadata->getArrayCopy(),
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], $documents);
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$cacheItem = $this->cache->getItem($this->cacheKey);
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$cacheItem->set([
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...$existingVectors,
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...$newVectors,
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]);
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$this->cache->save($cacheItem);
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}
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/**
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* @param array{
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* maxItems?: positive-int,
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* filter?: callable(VectorDocument): bool
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* } $options If maxItems is provided, only the top N results will be returned.
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* If filter is provided, only documents matching the filter will be considered.
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*/
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public function query(Vector $vector, array $options = []): iterable
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{
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$documents = $this->cache->get($this->cacheKey, static fn (): array => []);
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$vectorDocuments = array_map(static fn (array $document): VectorDocument => new VectorDocument(
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id: Uuid::fromString($document['id']),
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vector: new Vector($document['vector']),
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metadata: new Metadata($document['metadata']),
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), $documents);
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if (isset($options['filter'])) {
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$vectorDocuments = array_values(array_filter($vectorDocuments, $options['filter']));
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}
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yield from $this->distanceCalculator->calculate($vectorDocuments, $vector, $options['maxItems'] ?? null);
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}
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public function drop(): void
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{
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$this->cache->clear();
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}
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}

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