SDK for session (#2354)

### What problem does this PR solve?

Includes SDK for creating, updating sessions, getting sessions, listing
sessions, and dialogues
#1102 
### Type of change

- [x] New Feature (non-breaking change which adds functionality)

---------

Co-authored-by: liuhua <10215101452@stu.ecun.edu.cn>
This commit is contained in:
liuhua
2024-09-11 12:03:55 +08:00
committed by GitHub
parent 7fad48f42c
commit 1fc14ff6d4
7 changed files with 298 additions and 131 deletions

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@ -4,4 +4,5 @@ __version__ = importlib.metadata.version("ragflow")
from .ragflow import RAGFlow
from .modules.dataset import DataSet
from .modules.chat_assistant import Assistant
from .modules.assistant import Assistant
from .modules.session import Session

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@ -1,71 +1,86 @@
from typing import List
from .base import Base
from .session import Session, Message
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", messages: List[Message] = [
{"role": "assistant", "reference": [],
"content": "您好我是您的助手小樱长得可爱又善良can I help you?"}]) -> Session:
res = self.post("/session/save", {"name": name, "messages": messages, "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
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})
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

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@ -18,8 +18,8 @@ class Base(object):
pr[name] = value
return pr
def post(self, path, param):
res = self.rag.post(path, param)
def post(self, path, param, stream=False):
res = self.rag.post(path, param, stream=stream)
return res
def get(self, path, params):

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@ -8,17 +8,17 @@ class Session(Base):
self.id = None
self.name = "New session"
self.messages = [{"role": "assistant", "content": "Hi! I am your assistantcan I help you?"}]
self.assistant_id = None
super().__init__(rag, res_dict)
def chat(self, question: str, stream: bool = False):
for message in self.messages:
if "reference" in message:
message.pop("reference")
res = self.post("/session/completion",
{"id": self.id, "question": question, "stream": stream, "messages": self.messages})
res = res.text
response_lines = res.splitlines()
message_list = []
for line in response_lines:
{"id": self.id, "question": question, "stream": stream}, stream=True)
for line in res.iter_lines():
line = line.decode("utf-8")
if line.startswith("data:"):
json_data = json.loads(line[5:])
if json_data["data"] != True:
@ -26,26 +26,49 @@ class Session(Base):
reference = json_data["data"]["reference"]
temp_dict = {
"content": answer,
"role": "assistant",
"reference": reference
"role": "assistant"
}
if "chunks" in reference:
chunks = reference["chunks"]
chunk_list = []
for chunk in chunks:
new_chunk = {
"id": chunk["chunk_id"],
"content": chunk["content_with_weight"],
"document_id": chunk["doc_id"],
"document_name": chunk["docnm_kwd"],
"knowledgebase_id": chunk["kb_id"],
"image_id": chunk["img_id"],
"similarity": chunk["similarity"],
"vector_similarity": chunk["vector_similarity"],
"term_similarity": chunk["term_similarity"],
"positions": chunk["positions"],
}
chunk_list.append(new_chunk)
temp_dict["reference"] = chunk_list
message = Message(self.rag, temp_dict)
message_list.append(message)
return message_list
yield message
def save(self):
res = self.post("/session/save",
{"id": self.id, "dialog_id": self.assistant_id, "name": self.name, "message": self.messages})
{"id": self.id, "assistant_id": self.assistant_id, "name": self.name})
res = res.json()
if res.get("retmsg") == "success": return True
raise Exception(res.get("retmsg"))
def delete(self):
res = self.rm("/session/delete", {"id": self.id})
res = res.json()
if res.get("retmsg") == "success": return True
raise Exception(res.get("retmsg"))
class Message(Base):
def __init__(self, rag, res_dict):
self.content = "您好,我是您的助手小樱,长得可爱又善良can I help you?"
self.reference = []
self.content = "Hi! I am your assistantcan I help you?"
self.reference = None
self.role = "assistant"
self.prompt=None
self.prompt = None
super().__init__(rag, res_dict)

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@ -17,7 +17,7 @@ from typing import List
import requests
from .modules.chat_assistant import Assistant
from .modules.assistant import Assistant
from .modules.dataset import DataSet
@ -30,8 +30,8 @@ class RAGFlow:
self.api_url = f"{base_url}/api/{version}"
self.authorization_header = {"Authorization": "{} {}".format("Bearer", self.user_key)}
def post(self, path, param):
res = requests.post(url=self.api_url + path, json=param, headers=self.authorization_header)
def post(self, path, param, stream=False):
res = requests.post(url=self.api_url + path, json=param, headers=self.authorization_header, stream=stream)
return res
def get(self, path, params=None):

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@ -1,27 +1,60 @@
from ragflow import RAGFlow
from ragflow import RAGFlow,Session
from common import API_KEY, HOST_ADDRESS
class TestChatSession:
class TestSession:
def test_create_session(self):
rag = RAGFlow(API_KEY, HOST_ADDRESS)
kb = rag.create_dataset(name="test_create_session")
assistant = rag.create_assistant(name="test_create_session", knowledgebases=[kb])
session = assistant.create_session()
assert assistant is not None, "Failed to get the assistant."
assert session is not None, "Failed to create a session."
assert isinstance(session,Session), "Failed to create a session."
def test_create_chat_with_success(self):
rag = RAGFlow(API_KEY, HOST_ADDRESS)
kb = rag.create_dataset(name="test_create_chat")
assistant = rag.create_assistant(name="test_create_chat", knowledgebases=[kb])
session = assistant.create_session()
assert session is not None, "Failed to create a session."
prologue = assistant.get_prologue()
assert isinstance(prologue, str), "Prologue is not a string."
assert len(prologue) > 0, "Prologue is empty."
question = "What is AI"
ans = session.chat(question, stream=True)
response = ans[-1].content
assert len(response) > 0, "Assistant did not return any response."
for ans in session.chat(question, stream=True):
pass
assert ans.content!="\n**ERROR**", "Please check this error."
def test_delete_session_with_success(self):
rag = RAGFlow(API_KEY, HOST_ADDRESS)
kb = rag.create_dataset(name="test_delete_session")
assistant = rag.create_assistant(name="test_delete_session",knowledgebases=[kb])
session=assistant.create_session()
res=session.delete()
assert res, "Failed to delete the dataset."
def test_update_session_with_success(self):
rag=RAGFlow(API_KEY,HOST_ADDRESS)
kb=rag.create_dataset(name="test_update_session")
assistant = rag.create_assistant(name="test_update_session",knowledgebases=[kb])
session=assistant.create_session(name="old session")
session.name="new session"
res=session.save()
assert res,"Failed to update the session"
def test_get_session_with_success(self):
rag=RAGFlow(API_KEY,HOST_ADDRESS)
kb=rag.create_dataset(name="test_get_session")
assistant = rag.create_assistant(name="test_get_session",knowledgebases=[kb])
session = assistant.create_session()
session_2= assistant.get_session(id=session.id)
assert session.to_json()==session_2.to_json(),"Failed to get the session"
def test_list_session_with_success(self):
rag=RAGFlow(API_KEY,HOST_ADDRESS)
kb=rag.create_dataset(name="test_list_session")
assistant=rag.create_assistant(name="test_list_session",knowledgebases=[kb])
assistant.create_session("test_1")
assistant.create_session("test_2")
sessions=assistant.list_session()
if isinstance(sessions,list):
for session in sessions:
assert isinstance(session,Session),"Non-Session elements exist in the list"
else :
assert False,"Failed to retrieve the session list."