|
| 1 | +<?php |
| 2 | + |
| 3 | +/* |
| 4 | + * This file is part of the Symfony package. |
| 5 | + * |
| 6 | + * (c) Fabien Potencier <[email protected]> |
| 7 | + * |
| 8 | + * For the full copyright and license information, please view the LICENSE |
| 9 | + * file that was distributed with this source code. |
| 10 | + */ |
| 11 | + |
| 12 | +namespace Symfony\AI\Store\Tests\Bridge\MariaDB; |
| 13 | + |
| 14 | +use PHPUnit\Framework\Attributes\CoversClass; |
| 15 | +use PHPUnit\Framework\TestCase; |
| 16 | +use Symfony\AI\Platform\Vector\Vector; |
| 17 | +use Symfony\AI\Store\Bridge\MariaDB\Store; |
| 18 | +use Symfony\AI\Store\Document\VectorDocument; |
| 19 | +use Symfony\Component\Uid\Uuid; |
| 20 | + |
| 21 | +#[CoversClass(Store::class)] |
| 22 | +final class StoreTest extends TestCase |
| 23 | +{ |
| 24 | + public function testQueryWithMinScore(): void |
| 25 | + { |
| 26 | + $pdo = $this->createMock(\PDO::class); |
| 27 | + $statement = $this->createMock(\PDOStatement::class); |
| 28 | + |
| 29 | + $store = new Store($pdo, 'embeddings_table', 'embedding_index', 'embedding'); |
| 30 | + |
| 31 | + // Expected SQL query with minScore |
| 32 | + $expectedQuery = <<<'SQL' |
| 33 | + SELECT id, VEC_ToText(embedding) embedding, metadata, VEC_DISTANCE_EUCLIDEAN(embedding, VEC_FromText(:embedding)) AS score |
| 34 | + FROM embeddings_table |
| 35 | + WHERE VEC_DISTANCE_EUCLIDEAN(embedding, VEC_FromText(:embedding)) >= :minScore |
| 36 | + ORDER BY score ASC |
| 37 | + LIMIT 5 |
| 38 | + SQL; |
| 39 | + |
| 40 | + $pdo->expects($this->once()) |
| 41 | + ->method('prepare') |
| 42 | + ->with($expectedQuery) |
| 43 | + ->willReturn($statement); |
| 44 | + |
| 45 | + $uuid = Uuid::v4(); |
| 46 | + $vectorData = [0.1, 0.2, 0.3]; |
| 47 | + $minScore = 0.8; |
| 48 | + |
| 49 | + $statement->expects($this->once()) |
| 50 | + ->method('execute') |
| 51 | + ->with([ |
| 52 | + 'embedding' => json_encode($vectorData), |
| 53 | + 'minScore' => $minScore, |
| 54 | + ]); |
| 55 | + |
| 56 | + $statement->expects($this->once()) |
| 57 | + ->method('fetchAll') |
| 58 | + ->with(\PDO::FETCH_ASSOC) |
| 59 | + ->willReturn([ |
| 60 | + [ |
| 61 | + 'id' => $uuid->toBinary(), |
| 62 | + 'embedding' => json_encode($vectorData), |
| 63 | + 'metadata' => json_encode(['title' => 'Test Document']), |
| 64 | + 'score' => 0.85, |
| 65 | + ], |
| 66 | + ]); |
| 67 | + |
| 68 | + $results = $store->query(new Vector($vectorData), [], $minScore); |
| 69 | + |
| 70 | + $this->assertCount(1, $results); |
| 71 | + $this->assertInstanceOf(VectorDocument::class, $results[0]); |
| 72 | + $this->assertSame(0.85, $results[0]->score); |
| 73 | + $this->assertSame(['title' => 'Test Document'], $results[0]->metadata->getArrayCopy()); |
| 74 | + } |
| 75 | + |
| 76 | + public function testQueryWithoutMinScore(): void |
| 77 | + { |
| 78 | + $pdo = $this->createMock(\PDO::class); |
| 79 | + $statement = $this->createMock(\PDOStatement::class); |
| 80 | + |
| 81 | + $store = new Store($pdo, 'embeddings_table', 'embedding_index', 'embedding'); |
| 82 | + |
| 83 | + // Expected SQL query without minScore |
| 84 | + $expectedQuery = <<<'SQL' |
| 85 | + SELECT id, VEC_ToText(embedding) embedding, metadata, VEC_DISTANCE_EUCLIDEAN(embedding, VEC_FromText(:embedding)) AS score |
| 86 | + FROM embeddings_table |
| 87 | +
|
| 88 | + ORDER BY score ASC |
| 89 | + LIMIT 5 |
| 90 | + SQL; |
| 91 | + |
| 92 | + $pdo->expects($this->once()) |
| 93 | + ->method('prepare') |
| 94 | + ->with($expectedQuery) |
| 95 | + ->willReturn($statement); |
| 96 | + |
| 97 | + $uuid = Uuid::v4(); |
| 98 | + $vectorData = [0.1, 0.2, 0.3]; |
| 99 | + |
| 100 | + $statement->expects($this->once()) |
| 101 | + ->method('execute') |
| 102 | + ->with(['embedding' => json_encode($vectorData)]); |
| 103 | + |
| 104 | + $statement->expects($this->once()) |
| 105 | + ->method('fetchAll') |
| 106 | + ->with(\PDO::FETCH_ASSOC) |
| 107 | + ->willReturn([ |
| 108 | + [ |
| 109 | + 'id' => $uuid->toBinary(), |
| 110 | + 'embedding' => json_encode($vectorData), |
| 111 | + 'metadata' => json_encode(['title' => 'Test Document']), |
| 112 | + 'score' => 0.95, |
| 113 | + ], |
| 114 | + ]); |
| 115 | + |
| 116 | + $results = $store->query(new Vector($vectorData)); |
| 117 | + |
| 118 | + $this->assertCount(1, $results); |
| 119 | + $this->assertInstanceOf(VectorDocument::class, $results[0]); |
| 120 | + $this->assertSame(0.95, $results[0]->score); |
| 121 | + } |
| 122 | + |
| 123 | + public function testQueryWithCustomLimit(): void |
| 124 | + { |
| 125 | + $pdo = $this->createMock(\PDO::class); |
| 126 | + $statement = $this->createMock(\PDOStatement::class); |
| 127 | + |
| 128 | + $store = new Store($pdo, 'embeddings_table', 'embedding_index', 'embedding'); |
| 129 | + |
| 130 | + // Expected SQL query with custom limit |
| 131 | + $expectedQuery = <<<'SQL' |
| 132 | + SELECT id, VEC_ToText(embedding) embedding, metadata, VEC_DISTANCE_EUCLIDEAN(embedding, VEC_FromText(:embedding)) AS score |
| 133 | + FROM embeddings_table |
| 134 | +
|
| 135 | + ORDER BY score ASC |
| 136 | + LIMIT 10 |
| 137 | + SQL; |
| 138 | + |
| 139 | + $pdo->expects($this->once()) |
| 140 | + ->method('prepare') |
| 141 | + ->with($expectedQuery) |
| 142 | + ->willReturn($statement); |
| 143 | + |
| 144 | + $vectorData = [0.1, 0.2, 0.3]; |
| 145 | + |
| 146 | + $statement->expects($this->once()) |
| 147 | + ->method('execute') |
| 148 | + ->with(['embedding' => json_encode($vectorData)]); |
| 149 | + |
| 150 | + $statement->expects($this->once()) |
| 151 | + ->method('fetchAll') |
| 152 | + ->with(\PDO::FETCH_ASSOC) |
| 153 | + ->willReturn([]); |
| 154 | + |
| 155 | + $results = $store->query(new Vector($vectorData), ['limit' => 10]); |
| 156 | + |
| 157 | + $this->assertCount(0, $results); |
| 158 | + } |
| 159 | +} |
0 commit comments