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"""Default query for GPTEmptyIndex.""" | |
from typing import Any, Optional | |
from gpt_index.data_structs.data_structs import EmptyIndex | |
from gpt_index.indices.query.base import BaseGPTIndexQuery | |
from gpt_index.indices.query.schema import QueryBundle | |
from gpt_index.prompts.default_prompts import DEFAULT_SIMPLE_INPUT_PROMPT | |
from gpt_index.prompts.prompts import SimpleInputPrompt | |
from gpt_index.response.schema import RESPONSE_TYPE, Response, StreamingResponse | |
class GPTEmptyIndexQuery(BaseGPTIndexQuery[EmptyIndex]): | |
"""GPTEmptyIndex query. | |
Passes the raw LLM call to the underlying LLM model. | |
.. code-block:: python | |
response = index.query("<query_str>", mode="default") | |
Args: | |
input_prompt (Optional[SimpleInputPrompt]): A Simple Input Prompt | |
(see :ref:`Prompt-Templates`). | |
""" | |
def __init__( | |
self, | |
index_struct: EmptyIndex, | |
input_prompt: Optional[SimpleInputPrompt] = None, | |
**kwargs: Any, | |
) -> None: | |
"""Initialize params.""" | |
self._input_prompt = input_prompt or DEFAULT_SIMPLE_INPUT_PROMPT | |
super().__init__(index_struct=index_struct, **kwargs) | |
def _query(self, query_bundle: QueryBundle) -> RESPONSE_TYPE: | |
"""Answer a query.""" | |
if not self._streaming: | |
response, _ = self._llm_predictor.predict( | |
self._input_prompt, | |
query_str=query_bundle.query_str, | |
) | |
return Response(response) | |
else: | |
stream_response, _ = self._llm_predictor.stream( | |
self._input_prompt, | |
query_str=query_bundle.query_str, | |
) | |
return StreamingResponse(stream_response) | |