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32917a0b98
community: optimize DataFrame document loader **Description:** Simplify the `lazy_load` method in the DataFrame document loader by combining text extraction and metadata cleanup into a single operation. This makes the code more concise while maintaining the same functionality. **Issue:** N/A **Dependencies:** None **Twitter handle:** N/A
64 lines
2.1 KiB
Python
64 lines
2.1 KiB
Python
from typing import Any, Iterator, Literal
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from langchain_core.documents import Document
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from langchain_community.document_loaders.base import BaseLoader
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class BaseDataFrameLoader(BaseLoader):
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def __init__(self, data_frame: Any, *, page_content_column: str = "text"):
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"""Initialize with dataframe object.
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Args:
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data_frame: DataFrame object.
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page_content_column: Name of the column containing the page content.
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Defaults to "text".
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"""
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self.data_frame = data_frame
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self.page_content_column = page_content_column
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def lazy_load(self) -> Iterator[Document]:
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"""Lazy load records from dataframe."""
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for _, row in self.data_frame.iterrows():
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metadata = row.to_dict()
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text = metadata.pop(self.page_content_column)
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yield Document(page_content=text, metadata=metadata)
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class DataFrameLoader(BaseDataFrameLoader):
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"""Load `Pandas` DataFrame."""
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def __init__(
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self,
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data_frame: Any,
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page_content_column: str = "text",
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engine: Literal["pandas", "modin"] = "pandas",
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):
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"""Initialize with dataframe object.
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Args:
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data_frame: Pandas DataFrame object.
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page_content_column: Name of the column containing the page content.
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Defaults to "text".
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"""
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try:
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if engine == "pandas":
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import pandas as pd
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elif engine == "modin":
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import modin.pandas as pd
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else:
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raise ValueError(
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f"Unsupported engine {engine}. Must be one of 'pandas', or 'modin'."
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)
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except ImportError as e:
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raise ImportError(
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"Unable to import pandas, please install with `pip install pandas`."
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) from e
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if not isinstance(data_frame, pd.DataFrame):
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raise ValueError(
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f"Expected data_frame to be a pd.DataFrame, got {type(data_frame)}"
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)
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super().__init__(data_frame, page_content_column=page_content_column)
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