cbd7cd7c4d
### What problem does this PR solve? Refactor Dataset API ### Type of change - [x] Refactoring --------- Co-authored-by: liuhua <10215101452@stu.ecun.edu.cn>
78 lines
2.6 KiB
Python
78 lines
2.6 KiB
Python
from typing import Optional, List
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from .document import Document
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from .base import Base
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class DataSet(Base):
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class ParserConfig(Base):
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def __init__(self, rag, res_dict):
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self.chunk_token_count = 128
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self.layout_recognize = True
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self.delimiter = '\n!?。；！？'
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self.task_page_size = 12
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super().__init__(rag, res_dict)
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def __init__(self, rag, res_dict):
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self.id = ""
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self.name = ""
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self.avatar = ""
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self.tenant_id = None
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self.description = ""
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self.language = "English"
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self.embedding_model = ""
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self.permission = "me"
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self.document_count = 0
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self.chunk_count = 0
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self.parse_method = "naive"
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self.parser_config = None
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for k in list(res_dict.keys()):
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if k not in self.__dict__:
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res_dict.pop(k)
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super().__init__(rag, res_dict)
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def update(self, update_message: dict):
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res = self.put(f'/dataset/{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["message"])
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def list_docs(self, keywords: Optional[str] = None, offset: int = 0, limit: int = -1) -> List[Document]:
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"""
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List the documents in the dataset, optionally filtering by keywords, with pagination support.
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Args:
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keywords (Optional[str]): A string of keywords to filter the documents. Defaults to None.
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offset (int): The starting point for pagination. Defaults to 0.
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limit (int): The maximum number of documents to return. Defaults to -1 (no limit).
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Returns:
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List[Document]: A list of Document objects.
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"""
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# Construct the request payload for listing documents
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payload = {
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"knowledgebase_id": self.id,
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"keywords": keywords,
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"offset": offset,
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"limit": limit
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}
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# Send the request to the server to list documents
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res = self.get(f'/doc/dataset/{self.id}/documents', payload)
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res_json = res.json()
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# Handle response and error checking
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if res_json.get("retmsg") != "success":
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raise Exception(res_json.get("retmsg"))
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# Parse the document data from the response
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documents = []
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for doc_data in res_json["data"].get("docs", []):
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doc = Document(self.rag, doc_data)
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documents.append(doc)
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return documents
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