Simon Kuehn
fddfd920f5
Messages and handlers for the full AI pipeline: DraftArticle → Validation → SpecsResearch → PhotoUpload → EbayText → JsonCoding → PublishToChannel / DeactivateListingMessage / TrackingPush / UpdateStockOnChannels / OrderReceived. OllamaClient and OllamaClientInterface provide the base LLM backend. AI agents (EbayTextAgent, JsonCodingAgent, OllamaVisionAgent, SpecsResearchAgent) wrap the client with task-specific prompts. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
51 lines
1.5 KiB
PHP
51 lines
1.5 KiB
PHP
<?php
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declare(strict_types=1);
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namespace App\Infrastructure\Messenger\Handler;
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use App\Domain\Pipeline\Repository\AIPipelineJobRepositoryInterface;
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use App\Infrastructure\AI\Agent\OllamaVisionAgent;
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use App\Infrastructure\Messenger\Message\PhotoUploadMessage;
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use App\Infrastructure\Messenger\Message\SpecsResearchMessage;
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use Symfony\Component\Messenger\Attribute\AsMessageHandler;
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use Symfony\Component\Messenger\MessageBusInterface;
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use Symfony\Component\Uid\Uuid;
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#[AsMessageHandler]
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final class PhotoUploadHandler
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{
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public function __construct(
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private readonly OllamaVisionAgent $visionAgent,
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private readonly AIPipelineJobRepositoryInterface $jobRepository,
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private readonly MessageBusInterface $bus,
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) {
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}
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public function __invoke(PhotoUploadMessage $message): void
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{
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$job = $this->jobRepository->findById(Uuid::fromString($message->jobId));
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if (null === $job) {
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return;
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}
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$job->markProcessing();
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$this->jobRepository->save($job);
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$result = $this->visionAgent->analyze($message->storedPhotoPath);
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if ('' === $result['model']) {
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$job->markNeedsReview('OllamaVisionAgent: no model name detected on nameplate');
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$this->jobRepository->save($job);
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return;
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}
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$this->bus->dispatch(new SpecsResearchMessage(
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jobId: $message->jobId,
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articleTypeId: $message->articleTypeId,
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modelName: $result['model'],
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serialNumber: $result['serial'],
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));
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}
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}
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