| # | |
| # Copyright 2024 The InfiniFlow Authors. All Rights Reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| # | |
| from graphrag.utils import get_llm_cache, set_llm_cache | |
| from rag.llm.chat_model import Base as CompletionLLM | |
| class Extractor: | |
| _llm: CompletionLLM | |
| def __init__(self, llm_invoker: CompletionLLM): | |
| self._llm = llm_invoker | |
| def _chat(self, system, history, gen_conf): | |
| response = get_llm_cache(self._llm.llm_name, system, history, gen_conf) | |
| if response: | |
| return response | |
| response = self._llm.chat(system, history, gen_conf) | |
| if response.find("**ERROR**") >= 0: | |
| raise Exception(response) | |
| set_llm_cache(self._llm.llm_name, system, response, history, gen_conf) | |
| return response | |