Download ragflow-main/agent/component/rewrite.py from pandaall/ragflow: direct link, hf CLI and curl.
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https://huggingface.co/datasets/pandaall/ragflow/resolve/main/ragflow-main/agent/component/rewrite.py
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hf download hf://datasets/pandaall/ragflow/ragflow-main/agent/component/rewrite.py
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curl -L -o rewrite.py https://huggingface.co/datasets/pandaall/ragflow/resolve/main/ragflow-main/agent/component/rewrite.py
3.63 kB
| # | |
| # 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. | |
| # | |
| import logging | |
| from abc import ABC | |
| from api.db import LLMType | |
| from api.db.services.llm_service import LLMBundle | |
| from agent.component import GenerateParam, Generate | |
| class RewriteQuestionParam(GenerateParam): | |
| """ | |
| Define the QuestionRewrite component parameters. | |
| """ | |
| def __init__(self): | |
| super().__init__() | |
| self.temperature = 0.9 | |
| self.prompt = "" | |
| def check(self): | |
| super().check() | |
| def get_prompt(self, conv): | |
| self.prompt = """ | |
| You are an expert at query expansion to generate a paraphrasing of a question. | |
| I can't retrieval relevant information from the knowledge base by using user's question directly. | |
| You need to expand or paraphrase user's question by multiple ways such as using synonyms words/phrase, | |
| writing the abbreviation in its entirety, adding some extra descriptions or explanations, | |
| changing the way of expression, translating the original question into another language (English/Chinese), etc. | |
| And return 5 versions of question and one is from translation. | |
| Just list the question. No other words are needed. | |
| """ | |
| return f""" | |
| Role: A helpful assistant | |
| Task: Generate a full user question that would follow the conversation. | |
| Requirements & Restrictions: | |
| - Text generated MUST be in the same language of the original user's question. | |
| - If the user's latest question is completely, don't do anything, just return the original question. | |
| - DON'T generate anything except a refined question. | |
| ###################### | |
| -Examples- | |
| ###################### | |
| # Example 1 | |
| ## Conversation | |
| USER: What is the name of Donald Trump's father? | |
| ASSISTANT: Fred Trump. | |
| USER: And his mother? | |
| ############### | |
| Output: What's the name of Donald Trump's mother? | |
| ------------ | |
| # Example 2 | |
| ## Conversation | |
| USER: What is the name of Donald Trump's father? | |
| ASSISTANT: Fred Trump. | |
| USER: And his mother? | |
| ASSISTANT: Mary Trump. | |
| User: What's her full name? | |
| ############### | |
| Output: What's the full name of Donald Trump's mother Mary Trump? | |
| ###################### | |
| # Real Data | |
| ## Conversation | |
| {conv} | |
| ############### | |
| """ | |
| return self.prompt | |
| class RewriteQuestion(Generate, ABC): | |
| component_name = "RewriteQuestion" | |
| def _run(self, history, **kwargs): | |
| hist = self._canvas.get_history(self._param.message_history_window_size) | |
| conv = [] | |
| for m in hist: | |
| if m["role"] not in ["user", "assistant"]: | |
| continue | |
| conv.append("{}: {}".format(m["role"].upper(), m["content"])) | |
| conv = "\n".join(conv) | |
| chat_mdl = LLMBundle(self._canvas.get_tenant_id(), LLMType.CHAT, self._param.llm_id) | |
| ans = chat_mdl.chat(self._param.get_prompt(conv), [{"role": "user", "content": "Output: "}], | |
| self._param.gen_conf()) | |
| self._canvas.history.pop() | |
| self._canvas.history.append(("user", ans)) | |
| logging.debug(ans) | |
| return RewriteQuestion.be_output(ans) | |