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#
# 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 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 = ""
self.loop = 1
def check(self):
super().check()
def get_prompt(self):
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 self.prompt
class RewriteQuestion(Generate, ABC):
component_name = "RewriteQuestion"
def _run(self, history, **kwargs):
if not hasattr(self, "_loop"):
setattr(self, "_loop", 0)
if self._loop >= self._param.loop:
self._loop = 0
raise Exception("Maximum loop time exceeds. Can't find relevant information.")
self._loop += 1
q = "Question: "
for r, c in self._canvas.history[::-1]:
if r == "user":
q += c
break
chat_mdl = LLMBundle(self._canvas.get_tenant_id(), LLMType.CHAT, self._param.llm_id)
ans = chat_mdl.chat(self._param.get_prompt(), [{"role": "user", "content": q}],
self._param.gen_conf())
print(ans, ":::::::::::::::::::::::::::::::::")
return RewriteQuestion.be_output(ans)
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