Add Company Feedback Statistics Endpoint and Update API Documentation

- Introduced a new endpoint to retrieve comprehensive feedback statistics for the authenticated user's company, including total likes, dislikes, and percentage calculations.
- Implemented the GetCompanyFeedbackStats method in the feedback handler to handle requests, ensuring proper authentication and error handling.
- Updated Swagger JSON, YAML, and Go documentation to accurately reflect the new endpoint, including detailed descriptions, parameters, and response formats for the CompanyFeedbackStatsResponse.
- Enhanced the feedback repository and service layers to support the new statistics functionality, improving the overall data handling capabilities of the tender management system.
- These changes enhance the usability and functionality of the API, providing valuable insights into company feedback statistics.

internal/feedback/repository.go

@@ -23,6 +23,7 @@ type Repository interface {
 	GetFeedbackSummary(ctx context.Context, tenderID string) (*FeedbackSummary, error)
 	GetFeedbackCountByType(ctx context.Context) (map[FeedbackType]int64, error)
 	GetByTenderID(ctx context.Context, tenderID, companyID string) (*Feedback, error)
+	GetCompanyFeedbackStats(ctx context.Context, companyID string) (*CompanyFeedbackStatsResponse, error)
 }
 
 // feedbackRepository implements FeedbackRepository interface using MongoDB ORM
@@ -412,6 +413,79 @@ func (r *feedbackRepository) GetByTenderID(ctx context.Context, tenderID, compan
 	return result, nil
 }
 
+// GetCompanyFeedbackStats calculates feedback statistics for a company
+func (r *feedbackRepository) GetCompanyFeedbackStats(ctx context.Context, companyID string) (*CompanyFeedbackStatsResponse, error) {
+	pipeline := driver.Pipeline{
+		{
+			{Key: "$match", Value: bson.M{
+				"company_id": companyID,
+			}},
+		},
+		{
+			{Key: "$group", Value: bson.M{
+				"_id": nil,
+				"total_feedback": bson.M{
+					"$sum": 1,
+				},
+				"total_likes": bson.M{
+					"$sum": bson.M{
+						"$cond": []interface{}{
+							bson.M{"$eq": []string{"$feedback_type", string(FeedbackTypeLike)}},
+							1,
+							0,
+						},
+					},
+				},
+				"total_dislikes": bson.M{
+					"$sum": bson.M{
+						"$cond": []interface{}{
+							bson.M{"$eq": []string{"$feedback_type", string(FeedbackTypeDislike)}},
+							1,
+							0,
+						},
+					},
+				},
+				"last_updated": bson.M{"$max": "$updated_at"},
+			}},
+		},
+	}
+
+	results, err := r.repo.Aggregate(ctx, pipeline)
+	if err != nil {
+		r.logger.Error("Failed to get company feedback stats", map[string]interface{}{
+			"company_id": companyID,
+			"error":      err.Error(),
+		})
+		return nil, err
+	}
+
+	stats := &CompanyFeedbackStatsResponse{
+		CompanyID:     companyID,
+		TotalFeedback: 0,
+		TotalLikes:    0,
+		TotalDislikes: 0,
+		LastUpdated:   time.Now().Unix(),
+	}
+
+	if len(results) > 0 {
+		result := results[0]
+		if totalFeedback, ok := result["total_feedback"].(int32); ok {
+			stats.TotalFeedback = int64(totalFeedback)
+		}
+		if totalLikes, ok := result["total_likes"].(int32); ok {
+			stats.TotalLikes = int64(totalLikes)
+		}
+		if totalDislikes, ok := result["total_dislikes"].(int32); ok {
+			stats.TotalDislikes = int64(totalDislikes)
+		}
+		if lastUpdated, ok := result["last_updated"].(int64); ok {
+			stats.LastUpdated = lastUpdated
+		}
+	}
+
+	return stats, nil
+}
+
 // buildSearchFilter builds MongoDB filter from search criteria
 func (r *feedbackRepository) buildSearchFilter(criteria FeedbackSearchCriteria) bson.M {
 	filter := bson.M{}