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bc681e2ee9
### What problem does this PR solve? ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)
106 lines
3.5 KiB
Python
106 lines
3.5 KiB
Python
#
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# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import logging
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from abc import ABC
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from api.db import LLMType
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from api.db.services.llm_service import LLMBundle
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from agent.component import GenerateParam, Generate
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class RewriteQuestionParam(GenerateParam):
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"""
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Define the QuestionRewrite component parameters.
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"""
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def __init__(self):
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super().__init__()
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self.temperature = 0.9
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self.prompt = ""
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def check(self):
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super().check()
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def get_prompt(self, conv):
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self.prompt = """
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You are an expert at query expansion to generate a paraphrasing of a question.
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I can't retrieval relevant information from the knowledge base by using user's question directly.
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You need to expand or paraphrase user's question by multiple ways such as using synonyms words/phrase,
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writing the abbreviation in its entirety, adding some extra descriptions or explanations,
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changing the way of expression, translating the original question into another language (English/Chinese), etc.
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And return 5 versions of question and one is from translation.
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Just list the question. No other words are needed.
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"""
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return f"""
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Role: A helpful assistant
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Task: Generate a full user question that would follow the conversation.
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Requirements & Restrictions:
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- Text generated MUST be in the same language of the original user's question.
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- If the user's latest question is completely, don't do anything, just return the original question.
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- DON'T generate anything except a refined question.
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######################
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-Examples-
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######################
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# Example 1
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## Conversation
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USER: What is the name of Donald Trump's father?
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ASSISTANT: Fred Trump.
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USER: And his mother?
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###############
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Output: What's the name of Donald Trump's mother?
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------------
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# Example 2
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## Conversation
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USER: What is the name of Donald Trump's father?
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ASSISTANT: Fred Trump.
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USER: And his mother?
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ASSISTANT: Mary Trump.
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User: What's her full name?
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###############
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Output: What's the full name of Donald Trump's mother Mary Trump?
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######################
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# Real Data
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## Conversation
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{conv}
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###############
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"""
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return self.prompt
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class RewriteQuestion(Generate, ABC):
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component_name = "RewriteQuestion"
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def _run(self, history, **kwargs):
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hist = self._canvas.get_history(4)
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conv = []
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for m in hist:
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if m["role"] not in ["user", "assistant"]:
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continue
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conv.append("{}: {}".format(m["role"].upper(), m["content"]))
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conv = "\n".join(conv)
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chat_mdl = LLMBundle(self._canvas.get_tenant_id(), LLMType.CHAT, self._param.llm_id)
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ans = chat_mdl.chat(self._param.get_prompt(conv), [{"role": "user", "content": "Output: "}],
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self._param.gen_conf())
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self._canvas.history.pop()
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self._canvas.history.append(("user", ans))
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logging.debug(ans)
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return RewriteQuestion.be_output(ans)
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