Method create_index_interactive

create_index_script.py:177–237

Run the interactive index creation process.

(self)

        }
    
    def create_index_interactive(self) -> None:
        """Run the interactive index creation process."""
        print("🚀 LocalGPT Index Creation Tool")
        print("=" * 50)
        
        # Get index details
        index_name = self.get_user_input("Enter index name")
        index_description = self.get_user_input("Enter index description (optional)")
        
        # Select documents
        documents = self.select_documents()
        
        # Configure processing
        processing_config = self.configure_processing()
        
        # Confirm creation
        print("\n📋 Index Summary")
        print("=" * 50)
        print(f"Name: {index_name}")
        print(f"Description: {index_description or 'None'}")
        print(f"Documents: {len(documents)}")
        print(f"Chunk size: {processing_config['chunk_size']}")
        print(f"Enrichment: {'Enabled' if processing_config['enable_enrich'] else 'Disabled'}")
        print(f"Embedding model: {processing_config['embedding_model']}")
        
        if self.get_user_input("\nProceed with index creation? (y/n)", "y").lower() != 'y':
            print("❌ Index creation cancelled.")
            return
        
        # Create the index
        try:
            print("\n🔥 Creating index...")
            
            # Create index record in database
            index_id = self.db.create_index(
                name=index_name,
                description=index_description,
                metadata=processing_config
            )
            
            # Add documents to index
            for doc_path in documents:
                filename = os.path.basename(doc_path)
                self.db.add_document_to_index(index_id, filename, doc_path)
            
            # Process documents through pipeline
            print("📚 Processing documents...")
            self.pipeline.process_documents(documents)
            
            print(f"\n✅ Index '{index_name}' created successfully!")
            print(f"Index ID: {index_id}")
            print(f"Processed {len(documents)} documents")
            
            # Test the index
            if self.get_user_input("\nTest the index with a sample query? (y/n)", "y").lower() == 'y':
                self.test_index(index_id)
                
        except Exception as e: