07bb2a6fd6
### What problem does this PR solve? Turn resource to plural form ### Type of change - [x] Refactoring Co-authored-by: liuhua <10215101452@stu.ecun.edu.cn>
86 lines
3.4 KiB
Python
86 lines
3.4 KiB
Python
import json
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from .base import Base
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class Session(Base):
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def __init__(self, rag, res_dict):
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self.id = None
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self.name = "New session"
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self.messages = [{"role": "assistant", "content": "Hi! I am your assistant，can I help you?"}]
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self.chat_id = None
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super().__init__(rag, res_dict)
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def ask(self, question: str, stream: bool = False):
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for message in self.messages:
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if "reference" in message:
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message.pop("reference")
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res = self.post(f"/chats/{self.chat_id}/completions",
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{"question": question, "stream": True,"session_id":self.id}, stream=stream)
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for line in res.iter_lines():
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line = line.decode("utf-8")
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if line.startswith("{"):
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json_data = json.loads(line)
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raise Exception(json_data["message"])
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if line.startswith("data:"):
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json_data = json.loads(line[5:])
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if json_data["data"] != True:
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answer = json_data["data"]["answer"]
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reference = json_data["data"]["reference"]
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temp_dict = {
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"content": answer,
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"role": "assistant"
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}
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if "chunks" in reference:
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chunks = reference["chunks"]
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chunk_list = []
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for chunk in chunks:
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new_chunk = {
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"id": chunk["chunk_id"],
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"content": chunk["content_with_weight"],
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"document_id": chunk["doc_id"],
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"document_name": chunk["docnm_kwd"],
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"dataset_id": chunk["kb_id"],
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"image_id": chunk["img_id"],
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"similarity": chunk["similarity"],
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"vector_similarity": chunk["vector_similarity"],
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"term_similarity": chunk["term_similarity"],
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"positions": chunk["positions"],
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}
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chunk_list.append(new_chunk)
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temp_dict["reference"] = chunk_list
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message = Message(self.rag, temp_dict)
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yield message
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def update(self,update_message):
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res = self.put(f"/chats/{self.chat_id}/sessions/{self.id}",
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update_message)
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res = res.json()
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if res.get("code") != 0:
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raise Exception(res.get("message"))
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class Message(Base):
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def __init__(self, rag, res_dict):
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self.content = "Hi! I am your assistant，can I help you?"
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self.reference = None
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self.role = "assistant"
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self.prompt = None
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self.id = None
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super().__init__(rag, res_dict)
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class Chunk(Base):
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def __init__(self, rag, res_dict):
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self.id = None
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self.content = None
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self.document_id = ""
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self.document_name = ""
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self.dataset_id = ""
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self.image_id = ""
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self.similarity = None
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self.vector_similarity = None
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self.term_similarity = None
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self.positions = None
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super().__init__(rag, res_dict)
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