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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.
#
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 = ""
self.loop = 1
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):
if not hasattr(self, "_loop"):
setattr(self, "_loop", 0)
if self._loop >= self._param.loop:
self._loop = 0
raise Exception("Sorry! Nothing relevant found.")
self._loop += 1
hist = self._canvas.get_history(4)
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)
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