feat: refactor document and FAQ indexing logic, introducing helper functions for improved structure and readability

internal/ai/rag/index_storage_helpers.go

@@ -0,0 +1,53 @@
+package rag
+
+import (
+	"context"
+	"fmt"
+	"log/slog"
+
+	"cs-agent/internal/ai/rag/vectordb"
+	"cs-agent/internal/models"
+
+	"github.com/mlogclub/simple/sqls"
+)
+
+func (s *index) ensureCollection(ctx context.Context, provider vectordb.Provider, collectionName string, dimension int) error {
+	collectionInfo, err := provider.GetCollection(ctx, collectionName)
+	if err == nil && collectionInfo != nil {
+		return nil
+	}
+	if dimension <= 0 {
+		return fmt.Errorf("invalid embedding dimension: %d", dimension)
+	}
+	if err := provider.CreateCollection(ctx, collectionName, dimension); err != nil {
+		return fmt.Errorf("failed to create collection: %w", err)
+	}
+	slog.Info("Created collection for knowledge base", "collection", collectionName, "dimension", dimension)
+	return nil
+}
+
+func (s *index) replaceDocumentChunks(documentID int64, chunkModels []models.KnowledgeChunk) error {
+	return sqls.WithTransaction(func(ctx *sqls.TxContext) error {
+		if err := ctx.Tx.Where("document_id = ?", documentID).Delete(&models.KnowledgeChunk{}).Error; err != nil {
+			return err
+		}
+		for _, chunk := range chunkModels {
+			if err := ctx.Tx.Create(&chunk).Error; err != nil {
+				return err
+			}
+		}
+		return nil
+	})
+}
+
+func (s *index) replaceFAQChunk(faqID int64, chunkModel *models.KnowledgeChunk) error {
+	if chunkModel == nil {
+		return nil
+	}
+	return sqls.WithTransaction(func(ctx *sqls.TxContext) error {
+		if err := ctx.Tx.Where("faq_id = ?", faqID).Delete(&models.KnowledgeChunk{}).Error; err != nil {
+			return err
+		}
+		return ctx.Tx.Create(chunkModel).Error
+	})
+}