Implement AI analysis trigger endpoint and refactor related components

- Added a new endpoint to trigger on-demand agentic analysis for tenders via the AI service.
- Introduced `TriggerAIAnalyze` method in the `TenderHandler` to handle requests and responses for AI analysis.
- Updated the `tenderService` to include `TriggerAIAnalyze` method, which validates input and interacts with the AI summarizer client.
- Enhanced the `AIAnalyzeResponse` and `AIAnalyzeDocument` structures to support the new analysis feature.
- Refactored the `DocumentSummarizationWorker` and `TranslationWorker` to remove deprecated MinIO dependencies, streamlining the AI service interactions.

This update improves the functionality of the tender management system by allowing users to trigger AI analysis on-demand, enhancing the overall user experience and system capabilities.

cmd/worker/main.go

@@ -37,18 +37,12 @@ func main() {
 	// Initialize notification service
 	notificationService := bootstrap.InitNotificationService(config.Notification, appLogger)
 
-	// Initialize MinIO service
-	minioService := bootstrap.InitMinIOService(config.MinIO, appLogger)
-	if minioService != nil {
-		appLogger.Info("MinIO service initialized successfully", map[string]interface{}{})
-	}
-
 	// Initialize AI summarizer client (translation + document summarization workers)
 	aiSummarizerClient := bootstrap.InitAISummarizerClient(config.AISummarizer, mongoManager, appLogger)
 	aiSummarizerStorage := bootstrap.InitAISummarizerStorage(config.AISummarizer, appLogger)
 
 	// Initialize Worker
-	scheduler := bootstrap.InitWorker(*config, mongoManager, appLogger, notificationService, minioService, aiSummarizerClient, aiSummarizerStorage)
+	scheduler := bootstrap.InitWorker(*config, mongoManager, appLogger, notificationService, aiSummarizerClient, aiSummarizerStorage)
 
 	// Set up signal handling for graceful shutdown
 	signalChan := make(chan os.Signal, 1)