Files
ragflow_python/sdk/python/ragflow/modules/assistant.py
liuhua b68d349bd6 Fix: renrank_model and pdf_parser bugs | Update: session API (#2601)
### What problem does this PR solve?

Fix: renrank_model and pdf_parser bugs | Update: session API
#2575
#2559
### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring

---------

Co-authored-by: liuhua <10215101452@stu.ecun.edu.cn>
2024-09-26 16:05:25 +08:00

87 lines
3.4 KiB
Python

from typing import List
from .base import Base
from .session import Session
class Assistant(Base):
def __init__(self, rag, res_dict):
self.id = ""
self.name = "assistant"
self.avatar = "path/to/avatar"
self.knowledgebases = ["kb1"]
self.llm = Assistant.LLM(rag, {})
self.prompt = Assistant.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.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 save(self) -> bool:
res = self.post('/assistant/save',
{"id": self.id, "name": self.name, "avatar": self.avatar, "knowledgebases": self.knowledgebases,
"llm": self.llm.to_json(), "prompt": self.prompt.to_json()
})
res = res.json()
if res.get("retmsg") == "success": return True
raise Exception(res["retmsg"])
def delete(self) -> bool:
res = self.rm('/assistant/delete',
{"id": self.id})
res = res.json()
if res.get("retmsg") == "success": return True
raise Exception(res["retmsg"])
def create_session(self, name: str = "New session") -> Session:
res = self.post("/session/save", {"name": name, "assistant_id": self.id})
res = res.json()
if res.get("retmsg") == "success":
return Session(self.rag, res['data'])
raise Exception(res["retmsg"])
def list_session(self) -> List[Session]:
res = self.get('/session/list', {"assistant_id": self.id})
res = res.json()
if res.get("retmsg") == "success":
result_list = []
for data in res["data"]:
result_list.append(Session(self.rag, data))
return result_list
raise Exception(res["retmsg"])
def get_session(self, id) -> Session:
res = self.get("/session/get", {"id": id,"assistant_id":self.id})
res = res.json()
if res.get("retmsg") == "success":
return Session(self.rag, res["data"])
raise Exception(res["retmsg"])
def get_prologue(self):
return self.prompt.opener