Enhance AI recommendation caching and onboarding process in company service
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continuous-integration/drone/push Build is passing
- Updated `AISummarizerConfig` to allow for a default `RecommendationCacheTTL` of 0, enabling persistent caching until company updates. - Refactored `StartAIOnboarding` to include cache invalidation and asynchronous recommendation refresh, improving responsiveness during onboarding. - Introduced `triggerAIOnboardingAsync` method for background processing of AI onboarding and cache refresh, enhancing user experience. - Improved logging for AI onboarding and recommendation fetching processes, providing better observability and error tracking. This update optimizes the AI recommendation caching mechanism and onboarding workflow, ensuring a smoother and more efficient experience for users.
This commit is contained in:
@@ -69,8 +69,9 @@ type AISummarizerConfig struct {
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APIRetryCount int `env:"AI_SUMMARIZER_API_RETRY_COUNT" envDefault:"2"`
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APIRetryDelay time.Duration `env:"AI_SUMMARIZER_API_RETRY_DELAY" envDefault:"3s"`
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DefaultLanguage string `env:"AI_SUMMARIZER_DEFAULT_LANGUAGE" envDefault:"en"`
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// RecommendationCacheTTL caches AI /recommend responses per company. Set to 0 to disable.
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RecommendationCacheTTL time.Duration `env:"AI_RECOMMENDATION_CACHE_TTL" envDefault:"15m"`
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// RecommendationCacheTTL is an optional max Redis TTL for cached recommendations.
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// When 0 (default), entries persist until the company is created, updated, or onboarded.
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RecommendationCacheTTL time.Duration `env:"AI_RECOMMENDATION_CACHE_TTL" envDefault:"0"`
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// MinIO storage settings
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MinioEndpoint string `env:"AI_SUMMARIZER_MINIO_ENDPOINT" envDefault:""`
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@@ -8,6 +8,7 @@ import (
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"fmt"
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"io"
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"strings"
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"time"
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"github.com/redis/go-redis/v9"
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@@ -39,10 +40,67 @@ func (s *companyService) StartAIOnboarding(ctx context.Context, companyID string
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if s.aiRecommendationClient == nil {
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return nil, ErrAIRecommendationNotConfigured
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}
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if strings.TrimSpace(companyID) == "" {
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companyID = strings.TrimSpace(companyID)
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if companyID == "" {
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return nil, errors.New("company ID is required")
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}
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s.invalidateAIRecommendationCache(ctx, companyID)
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result, err := s.startAIOnboardingInternal(ctx, companyID)
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if err != nil {
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return nil, err
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}
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s.refreshAIRecommendationsCacheAsync(companyID)
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return result, nil
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}
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// triggerAIOnboardingAsync re-indexes the company on the AI service and refreshes the recommendation cache.
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// This is the only path (besides StartAIOnboarding) that calls the AI recommend endpoint.
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func (s *companyService) triggerAIOnboardingAsync(companyID string) {
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if s.aiRecommendationClient == nil {
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return
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}
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companyID = strings.TrimSpace(companyID)
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if companyID == "" {
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return
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}
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go func() {
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ctx := context.Background()
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s.logger.Info("Starting async AI company onboarding and recommendation refresh", map[string]interface{}{
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"company_id": companyID,
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})
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s.invalidateAIRecommendationCache(ctx, companyID)
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if _, err := s.startAIOnboardingInternal(ctx, companyID); err != nil {
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s.logger.Error("Async AI company onboarding failed", map[string]interface{}{
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"company_id": companyID,
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"error": err.Error(),
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})
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return
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}
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if _, err := s.fetchAndCacheAIRecommendations(ctx, companyID); err != nil {
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s.logger.Error("Failed to refresh AI recommendations after onboarding", map[string]interface{}{
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"company_id": companyID,
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"error": err.Error(),
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})
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return
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}
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s.logger.Info("Async AI company onboarding and recommendation refresh completed", map[string]interface{}{
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"company_id": companyID,
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})
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}()
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}
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func (s *companyService) startAIOnboardingInternal(ctx context.Context, companyID string) (*OnboardingResponse, error) {
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company, err := s.repository.GetByID(ctx, companyID)
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if err != nil {
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s.logger.Error("Failed to load company for AI onboarding", map[string]interface{}{
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@@ -67,9 +125,9 @@ func (s *companyService) StartAIOnboarding(ctx context.Context, companyID string
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}
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s.logger.Info("Starting AI company onboarding", map[string]interface{}{
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"company_id": companyID,
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"documents_count": len(company.DocumentFileIDs),
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"has_website_url": websiteURL != "",
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"company_id": companyID,
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"documents_count": len(company.DocumentFileIDs),
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"has_website_url": websiteURL != "",
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})
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result, err := s.aiRecommendationClient.StartOnboarding(ctx, ai_summarizer.OnboardingRequest{
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@@ -85,57 +143,21 @@ func (s *companyService) StartAIOnboarding(ctx context.Context, companyID string
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return nil, fmt.Errorf("failed to start AI onboarding: %w", err)
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}
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// Prefetch recommendations in the background; keep serving the previous cache until refresh completes.
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s.refreshAIRecommendationsCacheAsync(companyID)
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return &OnboardingResponse{Status: result.Status}, nil
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}
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// triggerAIOnboardingAsync starts AI onboarding in the background after company profile changes.
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func (s *companyService) triggerAIOnboardingAsync(companyID string) {
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if s.aiRecommendationClient == nil {
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return
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}
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companyID = strings.TrimSpace(companyID)
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if companyID == "" {
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return
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}
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go func() {
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ctx := context.Background()
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s.logger.Info("Starting async AI company onboarding", map[string]interface{}{
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"company_id": companyID,
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})
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if _, err := s.StartAIOnboarding(ctx, companyID); err != nil {
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s.logger.Error("Async AI company onboarding failed", map[string]interface{}{
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"company_id": companyID,
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"error": err.Error(),
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})
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return
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}
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s.logger.Info("Async AI company onboarding completed", map[string]interface{}{
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"company_id": companyID,
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})
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}()
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}
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// GetAIRecommendations retrieves ranked tender recommendations from the AI team.
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// GetAIRecommendations returns cached recommendations only. The AI service is not called on read;
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// cache is populated when a company is created, updated, or onboarded.
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func (s *companyService) GetAIRecommendations(ctx context.Context, companyID string) ([]RecommendedTenderResponse, error) {
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if s.aiRecommendationClient == nil {
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return nil, ErrAIRecommendationNotConfigured
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}
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companyID = strings.TrimSpace(companyID)
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if companyID == "" {
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return nil, errors.New("company ID is required")
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}
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if cached, ok := s.getCachedAIRecommendations(ctx, companyID); ok {
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return cached, nil
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}
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if _, err := s.repository.GetByID(ctx, companyID); err != nil {
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s.logger.Error("Failed to load company for AI recommendations", map[string]interface{}{
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"company_id": companyID,
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@@ -144,7 +166,15 @@ func (s *companyService) GetAIRecommendations(ctx context.Context, companyID str
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return nil, errors.New("company not found")
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}
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return s.fetchAndCacheAIRecommendations(ctx, companyID)
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if cached, ok := s.getCachedAIRecommendations(ctx, companyID); ok {
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return cached, nil
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}
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s.logger.Debug("AI recommendations cache miss; returning empty list", map[string]interface{}{
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"company_id": companyID,
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})
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return []RecommendedTenderResponse{}, nil
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}
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func (s *companyService) refreshAIRecommendationsCacheAsync(companyID string) {
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@@ -186,7 +216,7 @@ func (s *companyService) refreshAIRecommendationsCacheAsync(companyID string) {
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}
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func (s *companyService) fetchAndCacheAIRecommendations(ctx context.Context, companyID string) ([]RecommendedTenderResponse, error) {
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s.logger.Info("Fetching AI tender recommendations", map[string]interface{}{
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s.logger.Info("Fetching AI tender recommendations from AI service", map[string]interface{}{
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"company_id": companyID,
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})
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@@ -216,7 +246,7 @@ func (s *companyService) fetchAndCacheAIRecommendations(ctx context.Context, com
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}
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func (s *companyService) getCachedAIRecommendations(ctx context.Context, companyID string) ([]RecommendedTenderResponse, bool) {
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if s.redisClient == nil || s.recommendationCacheTTL <= 0 {
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if s.redisClient == nil {
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return nil, false
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}
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@@ -250,7 +280,7 @@ func (s *companyService) getCachedAIRecommendations(ctx context.Context, company
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}
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func (s *companyService) cacheAIRecommendations(ctx context.Context, companyID string, responses []RecommendedTenderResponse) {
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if s.redisClient == nil || s.recommendationCacheTTL <= 0 {
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if s.redisClient == nil {
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return
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}
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@@ -263,7 +293,8 @@ func (s *companyService) cacheAIRecommendations(ctx context.Context, companyID s
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return
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}
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if err := s.redisClient.Set(ctx, aiRecommendationCacheKey(companyID), string(encoded), s.recommendationCacheTTL); err != nil {
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expiration := s.recommendationCacheExpiration()
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if err := s.redisClient.Set(ctx, aiRecommendationCacheKey(companyID), string(encoded), expiration); err != nil {
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s.logger.Warn("Failed to store AI recommendation cache", map[string]interface{}{
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"company_id": companyID,
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"error": err.Error(),
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@@ -271,6 +302,26 @@ func (s *companyService) cacheAIRecommendations(ctx context.Context, companyID s
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}
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}
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func (s *companyService) recommendationCacheExpiration() time.Duration {
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if s.recommendationCacheTTL > 0 {
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return s.recommendationCacheTTL
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}
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return 0
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}
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func (s *companyService) invalidateAIRecommendationCache(ctx context.Context, companyID string) {
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if s.redisClient == nil {
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return
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}
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if err := s.redisClient.Del(ctx, aiRecommendationCacheKey(companyID)); err != nil {
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s.logger.Warn("Failed to invalidate AI recommendation cache", map[string]interface{}{
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"company_id": companyID,
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"error": err.Error(),
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})
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}
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}
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func (s *companyService) buildOnboardingDocuments(fileIDs []string) (string, error) {
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if len(fileIDs) == 0 {
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return "[]", nil
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