Enhance company recommendation caching and pipeline integration
continuous-integration/drone/push Build is passing

- Updated the company service to include a new method for scheduling the refresh of cached AI recommendations after the AI pipeline execution.
- Introduced a new interface for managing cached recommendation refreshes, improving the separation of concerns within the service layer.
- Enhanced the worker initialization to include Redis client support, allowing for better management of recommendation caching.
- Added functionality to list company IDs with existing recommendation caches, ensuring efficient updates post-pipeline runs.
- Implemented unit tests to validate the new recommendation refresh logic and ensure proper handling of various scenarios.

This update significantly improves the handling of AI recommendations by integrating caching mechanisms with the AI pipeline, enhancing overall system performance and responsiveness.
This commit is contained in:
Mazyar
2026-07-08 00:45:53 +03:30
parent 4e5296d5dd
commit 0e4fadaf29
9 changed files with 421 additions and 25 deletions
+32 -7
View File
@@ -48,23 +48,35 @@ type Service interface {
GetMinioStats(ctx context.Context) (ai_summarizer.PipelineMinioStatsResponse, error)
}
// CachedRecommendationRefresher schedules a background refresh of company recommendation caches.
type CachedRecommendationRefresher interface {
ScheduleRefreshCachedAIRecommendationsAfterPipeline()
}
// ScrapedDocumentMetadataSyncer persists MinIO scraped-document metadata onto tender records.
type ScrapedDocumentMetadataSyncer interface {
SyncScrapedDocumentsFromStorage(ctx context.Context, contractFolderID, noticePublicationID string) error
}
type service struct {
client Client
logger logger.Logger
metadataSyncer ScrapedDocumentMetadataSyncer
client Client
logger logger.Logger
metadataSyncer ScrapedDocumentMetadataSyncer
recommendationRefresher CachedRecommendationRefresher
}
// NewService creates an AI pipeline admin service.
func NewService(client Client, log logger.Logger, metadataSyncer ScrapedDocumentMetadataSyncer) Service {
func NewService(
client Client,
log logger.Logger,
metadataSyncer ScrapedDocumentMetadataSyncer,
recommendationRefresher CachedRecommendationRefresher,
) Service {
return &service{
client: client,
logger: log,
metadataSyncer: metadataSyncer,
client: client,
logger: log,
metadataSyncer: metadataSyncer,
recommendationRefresher: recommendationRefresher,
}
}
@@ -219,6 +231,8 @@ func (s *service) Sync(ctx context.Context) (*ai_summarizer.PipelineSyncResponse
return nil, fmt.Errorf("pipeline sync failed: %w", err)
}
s.scheduleRecommendationRefreshAfterPipeline()
return resp, nil
}
@@ -322,6 +336,8 @@ func (s *service) DailyRun(ctx context.Context) (*ai_summarizer.PipelineStartedR
return nil, fmt.Errorf("pipeline daily-run failed: %w", err)
}
s.scheduleRecommendationRefreshAfterPipeline()
return resp, nil
}
@@ -340,6 +356,8 @@ func (s *service) Auto(ctx context.Context) (*ai_summarizer.PipelineStartedRespo
return nil, fmt.Errorf("pipeline auto failed: %w", err)
}
s.scheduleRecommendationRefreshAfterPipeline()
return resp, nil
}
@@ -425,6 +443,13 @@ func (s *service) GetMinioStats(ctx context.Context) (ai_summarizer.PipelineMini
return resp, nil
}
func (s *service) scheduleRecommendationRefreshAfterPipeline() {
if s.recommendationRefresher == nil {
return
}
s.recommendationRefresher.ScheduleRefreshCachedAIRecommendationsAfterPipeline()
}
func validateTenderBatch(forms []TenderRefForm) ([]ai_summarizer.TenderRef, error) {
if len(forms) == 0 {
return nil, ErrEmptyTenderBatch