Files
nc-talk-ai/tests/unit/Service/EmbeddingClientTest.php
Pascal Kienast 0739d3da6a Initial open-source release of Talk AI
Talk AI is a multi-bot AI assistant manager for Nextcloud Talk:
per-bot prompts and models, agentic tool calling (MCP + built-in
tools), RAG over Nextcloud files, room-document search, vision and
speech-to-text attachments, persistent bot wikis, approval workflows,
rate limiting, and multi-provider LLM support (any OpenAI-compatible
endpoint).

Developed within EDUC - the European Digital UniverCity
(https://educalliance.eu), where it runs as the 'EDUC AI' assistant on
the alliance-wide Nextcloud portal. This public repository is the
upstream point of truth; deployment-specific tools plug in via the
tool-provider extension point (docs/TOOL_PROVIDERS.md).

License: AGPL-3.0-or-later.
2026-07-08 21:13:13 +02:00

111 lines
4.3 KiB
PHP

<?php
declare(strict_types=1);
namespace OCA\EducAI\Tests\Unit\Service;
use OCA\EducAI\Db\Settings;
use OCA\EducAI\Service\EmbeddingClient;
use OCA\EducAI\Service\RateLimitService;
use OCA\EducAI\Service\SettingsService;
use OCP\Http\Client\IClient;
use OCP\Http\Client\IClientService;
use OCP\Http\Client\IResponse;
use PHPUnit\Framework\TestCase;
use Psr\Log\LoggerInterface;
class EmbeddingClientTest extends TestCase {
public function testEmbedTextsTracksRateLimitStateOnEmbeddingEndpoint(): void {
$settings = new Settings();
$settings->setApiEndpoint('https://chat-ai.academiccloud.de/v1/chat/completions');
$settingsService = $this->createMock(SettingsService::class);
$settingsService->method('getSettings')
->willReturn($settings);
$settingsService->method('getRagConfig')
->willReturn([
'embedding_api_endpoint' => 'https://chat-ai.academiccloud.de/v1/embeddings',
'embedding_api_key' => 'embedding-key',
'embedding_model' => 'qwen3-embedding-4b',
]);
$rateLimitService = $this->createMock(RateLimitService::class);
$rateLimitService->expects($this->once())
->method('isEnabled')
->willReturn(true);
$rateLimitService->expects($this->once())
->method('canProcess')
->with(RateLimitService::ENDPOINT_EMBEDDINGS)
->willReturn(true);
$rateLimitService->expects($this->once())
->method('recordUsage')
->with(RateLimitService::ENDPOINT_EMBEDDINGS);
$rateLimitService->expects($this->once())
->method('updateFromHeaders')
->with([
'x-ratelimit-limit-minute' => 100,
'x-ratelimit-remaining-minute' => 99,
'ratelimit-limit' => 100,
'ratelimit-remaining' => 99,
'ratelimit-reset' => 35,
], RateLimitService::ENDPOINT_EMBEDDINGS);
$response = $this->createMock(IResponse::class);
$response->method('getBody')
->willReturn(json_encode([
'data' => [
['embedding' => [0.1, 0.2, 0.3]],
],
]) ?: '');
$response->method('getHeader')
->willReturnCallback(static fn (string $header): string => match ($header) {
'x-ratelimit-limit-minute' => '100',
'x-ratelimit-remaining-minute' => '99',
'ratelimit-limit' => '100',
'ratelimit-remaining' => '99',
'ratelimit-reset' => '35',
default => '',
});
$client = $this->createMock(IClient::class);
$client->expects($this->once())
->method('post')
->with(
'https://chat-ai.academiccloud.de/v1/embeddings',
$this->callback(static function (array $options): bool {
return ($options['json']['model'] ?? null) === 'qwen3-embedding-4b'
&& ($options['json']['input'] ?? null) === ['hello world'];
})
)
->willReturn($response);
$clientService = $this->createMock(IClientService::class);
$clientService->method('newClient')
->willReturn($client);
$logger = new class implements LoggerInterface {
public function emergency($message, array $context = []): void {}
public function alert($message, array $context = []): void {}
public function critical($message, array $context = []): void {}
public function error($message, array $context = []): void {}
public function warning($message, array $context = []): void {}
public function notice($message, array $context = []): void {}
public function info($message, array $context = []): void {}
public function debug($message, array $context = []): void {}
public function log($level, $message, array $context = []): void {}
};
$embeddingClient = new EmbeddingClient(
$clientService,
$settingsService,
$rateLimitService,
$logger
);
$result = $embeddingClient->embedTexts(['hello world']);
$this->assertCount(1, $result);
$this->assertSame([0.1, 0.2, 0.3], $result[0]);
}
}