mirror of
https://github.com/hwchase17/langchain
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61 lines
2.0 KiB
Python
61 lines
2.0 KiB
Python
import logging
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from typing import Iterator, Optional
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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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from langchain_community.document_loaders.helpers import detect_file_encodings
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logger = logging.getLogger(__name__)
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class TextLoader(BaseLoader):
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"""Load text file.
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Args:
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file_path: Path to the file to load.
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encoding: File encoding to use. If `None`, the file will be loaded
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with the default system encoding.
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autodetect_encoding: Whether to try to autodetect the file encoding
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if the specified encoding fails.
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"""
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def __init__(
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self,
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file_path: str,
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encoding: Optional[str] = None,
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autodetect_encoding: bool = False,
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):
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"""Initialize with file path."""
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self.file_path = file_path
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self.encoding = encoding
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self.autodetect_encoding = autodetect_encoding
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def lazy_load(self) -> Iterator[Document]:
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"""Load from file path."""
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text = ""
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try:
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with open(self.file_path, encoding=self.encoding) as f:
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text = f.read()
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except UnicodeDecodeError as e:
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if self.autodetect_encoding:
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detected_encodings = detect_file_encodings(self.file_path)
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for encoding in detected_encodings:
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logger.debug(f"Trying encoding: {encoding.encoding}")
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try:
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with open(self.file_path, encoding=encoding.encoding) as f:
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text = f.read()
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break
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except UnicodeDecodeError:
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continue
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else:
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raise RuntimeError(f"Error loading {self.file_path}") from e
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except Exception as e:
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raise RuntimeError(f"Error loading {self.file_path}") from e
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metadata = {"source": self.file_path}
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yield Document(page_content=text, metadata=metadata)
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