mirror of
https://git.mirrors.martin98.com/https://github.com/infiniflow/ragflow.git
synced 2025-04-22 06:00:00 +08:00

### What problem does this PR solve? Add license statement. ### Type of change - [x] Refactoring Signed-off-by: Jin Hai <haijin.chn@gmail.com>
92 lines
3.7 KiB
Python
92 lines
3.7 KiB
Python
#
|
|
# Copyright 2025 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 .base import Base
|
|
from .session import Session
|
|
|
|
|
|
class Chat(Base):
|
|
def __init__(self, rag, res_dict):
|
|
self.id = ""
|
|
self.name = "assistant"
|
|
self.avatar = "path/to/avatar"
|
|
self.dataset_ids = ["kb1"]
|
|
self.llm = Chat.LLM(rag, {})
|
|
self.prompt = Chat.Prompt(rag, {})
|
|
super().__init__(rag, res_dict)
|
|
|
|
class LLM(Base):
|
|
def __init__(self, rag, res_dict):
|
|
self.model_name = "deepseek-chat"
|
|
self.temperature = 0.1
|
|
self.top_p = 0.3
|
|
self.presence_penalty = 0.4
|
|
self.frequency_penalty = 0.7
|
|
self.max_tokens = 512
|
|
super().__init__(rag, res_dict)
|
|
|
|
class Prompt(Base):
|
|
def __init__(self, rag, res_dict):
|
|
self.similarity_threshold = 0.2
|
|
self.keywords_similarity_weight = 0.7
|
|
self.top_n = 8
|
|
self.top_k = 1024
|
|
self.variables = [{"key": "knowledge", "optional": True}]
|
|
self.rerank_model = None
|
|
self.empty_response = None
|
|
self.opener = "Hi! I'm your assistant, what can I do for you?"
|
|
self.show_quote = True
|
|
self.prompt = (
|
|
"You are an intelligent assistant. Please summarize the content of the knowledge base to answer the question. "
|
|
"Please list the data in the knowledge base and answer in detail. When all knowledge base content is irrelevant to the question, "
|
|
"your answer must include the sentence 'The answer you are looking for is not found in the knowledge base!' "
|
|
"Answers need to consider chat history.\nHere is the knowledge base:\n{knowledge}\nThe above is the knowledge base."
|
|
)
|
|
super().__init__(rag, res_dict)
|
|
|
|
def update(self, update_message: dict):
|
|
res = self.put(f'/chats/{self.id}',
|
|
update_message)
|
|
res = res.json()
|
|
if res.get("code") != 0:
|
|
raise Exception(res["message"])
|
|
|
|
def create_session(self, name: str = "New session") -> Session:
|
|
res = self.post(f"/chats/{self.id}/sessions", {"name": name})
|
|
res = res.json()
|
|
if res.get("code") == 0:
|
|
return Session(self.rag, res['data'])
|
|
raise Exception(res["message"])
|
|
|
|
def list_sessions(self, page: int = 1, page_size: int = 30, orderby: str = "create_time", desc: bool = True,
|
|
id: str = None, name: str = None) -> list[Session]:
|
|
res = self.get(f'/chats/{self.id}/sessions',
|
|
{"page": page, "page_size": page_size, "orderby": orderby, "desc": desc, "id": id, "name": name})
|
|
res = res.json()
|
|
if res.get("code") == 0:
|
|
result_list = []
|
|
for data in res["data"]:
|
|
result_list.append(Session(self.rag, data))
|
|
return result_list
|
|
raise Exception(res["message"])
|
|
|
|
def delete_sessions(self, ids: list[str] | None = None):
|
|
res = self.rm(f"/chats/{self.id}/sessions", {"ids": ids})
|
|
res = res.json()
|
|
if res.get("code") != 0:
|
|
raise Exception(res.get("message"))
|