Zhichang Yu 9a5ff320f3
Manage ragflow-sdk with poetry (#3115)
### What problem does this PR solve?

Manage ragflow-sdk with poetry
### Type of change

- [x] Refactoring
2024-10-30 21:13:59 +08:00

86 lines
3.4 KiB
Python
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import json
from .base import Base
class Session(Base):
def __init__(self, rag, res_dict):
self.id = None
self.name = "New session"
self.messages = [{"role": "assistant", "content": "Hi! I am your assistantcan I help you?"}]
self.chat_id = None
super().__init__(rag, res_dict)
def ask(self, question: str, stream: bool = False):
for message in self.messages:
if "reference" in message:
message.pop("reference")
res = self.post(f"/chats/{self.chat_id}/completions",
{"question": question, "stream": True,"session_id":self.id}, stream=stream)
for line in res.iter_lines():
line = line.decode("utf-8")
if line.startswith("{"):
json_data = json.loads(line)
raise Exception(json_data["message"])
if line.startswith("data:"):
json_data = json.loads(line[5:])
if json_data["data"] != True:
answer = json_data["data"]["answer"]
reference = json_data["data"]["reference"]
temp_dict = {
"content": answer,
"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"],
"dataset_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)
yield message
def update(self,update_message):
res = self.put(f"/chats/{self.chat_id}/sessions/{self.id}",
update_message)
res = res.json()
if res.get("code") != 0:
raise Exception(res.get("message"))
class Message(Base):
def __init__(self, rag, res_dict):
self.content = "Hi! I am your assistantcan I help you?"
self.reference = None
self.role = "assistant"
self.prompt = None
self.id = None
super().__init__(rag, res_dict)
class Chunk(Base):
def __init__(self, rag, res_dict):
self.id = None
self.content = None
self.document_id = ""
self.document_name = ""
self.dataset_id = ""
self.image_id = ""
self.similarity = None
self.vector_similarity = None
self.term_similarity = None
self.positions = None
super().__init__(rag, res_dict)