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63 lines
2.2 KiB
Python
63 lines
2.2 KiB
Python
import logging
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from typing import List, Optional, cast
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from langchain.docstore.document import Document
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from langchain.document_loaders.base import BaseLoader
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logger = logging.getLogger(__name__)
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class TextLoader(BaseLoader):
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"""Load text files."""
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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 load(self) -> List[Document]:
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"""Load from file path."""
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text = ""
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with open(self.file_path, encoding=self.encoding) as f:
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try:
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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 = self.detect_file_encodings()
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for encoding in detected_encodings:
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logger.debug("Trying encoding: ", encoding["encoding"])
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try:
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with open(
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self.file_path, encoding=encoding["encoding"]
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) 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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return [Document(page_content=text, metadata=metadata)]
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def detect_file_encodings(self, timeout: int = 5) -> List[dict]:
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"""Try to detect the file encoding."""
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import chardet
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with open(self.file_path, "rb") as f:
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rawdata = f.read()
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encodings = chardet.detect_all(rawdata)
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if all(encoding["encoding"] is None for encoding in encodings):
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raise RuntimeError(f"Could not detect encoding for {self.file_path}")
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res = [encoding for encoding in encodings if encoding["encoding"] is not None]
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return cast(List[dict], res)
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