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feat: enhance dataset file fetching with improved pagination and document loading support (#156)
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3
runtime/datamate-python/app/common/__init__.py
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3
runtime/datamate-python/app/common/__init__.py
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"""
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公共模块
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"""
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runtime/datamate-python/app/common/document_loaders.py
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runtime/datamate-python/app/common/document_loaders.py
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from typing import List, Union, Optional
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from pathlib import Path
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from langchain_core.documents import Document
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from langchain_community.document_loaders import (
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TextLoader,
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JSONLoader,
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CSVLoader,
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UnstructuredMarkdownLoader,
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PyPDFLoader,
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Docx2txtLoader
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)
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from app.core.logging import get_logger
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log = get_logger(__name__)
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class UniversalDocLoader:
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"""
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通用泛文本文档加载类
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支持格式:TXT/JSON/CSV/Markdown/Word(.docx)/PPT(.pptx)/PDF
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"""
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# 格式-加载器映射(轻量优先)
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SUPPORTED_FORMATS = {
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# 纯文本类
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".txt": TextLoader,
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".json": JSONLoader,
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".csv": CSVLoader,
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".md": UnstructuredMarkdownLoader,
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# 办公文档类
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".docx": Docx2txtLoader,
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".doc": Docx2txtLoader,
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# PDF 类
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".pdf": PyPDFLoader
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}
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def __init__(self, file_path: Union[str, Path]):
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self.file_path = Path(file_path).resolve()
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self.file_suffix = self.file_path.suffix.lower()
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log.info(f"初始化文档加载器: {self.file_path} (格式: {self.file_suffix})")
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self._validate_file()
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def _validate_file(self) -> None:
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"""验证文件存在性和格式支持性"""
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if not self.file_path.exists():
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raise FileNotFoundError(f"文件不存在: {self.file_path}")
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if self.file_suffix not in self.SUPPORTED_FORMATS:
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raise ValueError(
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f"不支持的格式: {self.file_suffix} | 支持格式: {list(self.SUPPORTED_FORMATS.keys())}"
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)
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def load(
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self,
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file_format: Optional[str] = None,
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**loader_kwargs
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) -> List[Document]:
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"""
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加载文档并返回 LangChain Document 列表
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:param file_format: 手动指定格式(如 ".pdf"),默认自动识别
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:param loader_kwargs: 传递给具体加载器的参数(如 JSONLoader 的 jq_schema)
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:return: List[Document]
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"""
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# 确定目标格式
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target_format = file_format.lower() if file_format else self.file_suffix
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loader_cls = self.SUPPORTED_FORMATS[target_format]
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# 加载器默认参数优化
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loader_kwargs = self._set_default_kwargs(loader_cls, loader_kwargs)
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# 初始化并加载
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loader = loader_cls(str(self.file_path), **loader_kwargs)
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return loader.load()
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@staticmethod
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def _set_default_kwargs(loader_cls, kwargs: dict) -> dict:
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"""为不同加载器设置默认参数,简化调用"""
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if loader_cls == JSONLoader and "jq_schema" not in kwargs:
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kwargs.setdefault("jq_schema", ".")
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kwargs.setdefault("text_content", False)
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if loader_cls == CSVLoader and "csv_args" not in kwargs:
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kwargs["csv_args"] = {"delimiter": ","}
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return kwargs
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# 文档加载器便捷函数
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def load_documents(
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file_path: Union[str, Path],
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file_format: Optional[str] = None,
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**loader_kwargs
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) -> List[Document]:
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"""快速加载文档的便捷函数"""
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loader = UniversalDocLoader(file_path)
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return loader.load(file_format=file_format, **loader_kwargs)
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0
runtime/datamate-python/app/common/text_split.py
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0
runtime/datamate-python/app/common/text_split.py
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