"""Empty index. An index that doesn't contain any documents. Can only be used for pure LLM calls. """ from typing import Any, Dict, Optional, Sequence, Type from gpt_index.data_structs.data_structs import EmptyIndex from gpt_index.indices.base import BaseGPTIndex from gpt_index.indices.query.base import BaseGPTIndexQuery from gpt_index.indices.query.empty.base import GPTEmptyIndexQuery from gpt_index.indices.query.schema import QueryMode from gpt_index.langchain_helpers.chain_wrapper import LLMPredictor from gpt_index.langchain_helpers.text_splitter import TextSplitter from gpt_index.schema import BaseDocument class GPTEmptyIndex(BaseGPTIndex[EmptyIndex]): """GPT Empty Index. An index that doesn't contain any documents. Used for pure LLM calls. NOTE: this exists because an empty index it allows certain properties, such as the ability to be composed with other indices + token counting + others. """ index_struct_cls = EmptyIndex def __init__( self, index_struct: Optional[EmptyIndex] = None, llm_predictor: Optional[LLMPredictor] = None, text_splitter: Optional[TextSplitter] = None, **kwargs: Any, ) -> None: """Initialize params.""" super().__init__( documents=[], index_struct=index_struct, llm_predictor=llm_predictor, text_splitter=text_splitter, **kwargs, ) @classmethod def get_query_map(self) -> Dict[str, Type[BaseGPTIndexQuery]]: """Get query map.""" return { QueryMode.DEFAULT: GPTEmptyIndexQuery, } def _build_index_from_documents( self, documents: Sequence[BaseDocument] ) -> EmptyIndex: """Build the index from documents. Args: documents (List[BaseDocument]): A list of documents. Returns: IndexList: The created list index. """ index_struct = EmptyIndex() return index_struct def _insert(self, document: BaseDocument, **insert_kwargs: Any) -> None: """Insert a document.""" raise NotImplementedError("Cannot insert into an empty index.") def _delete(self, doc_id: str, **delete_kwargs: Any) -> None: """Delete a document.""" raise NotImplementedError("Cannot delete from an empty index.")