Source code for automated_document_parser.loaders.pdf_load.opendataloader_loader

"""
OpenDataLoader PDF loader implementation.

Reference: https://python.langchain.com/docs/integrations/document_loaders/opendataloader/
"""

import logging
from typing import List

from langchain_core.documents import Document

from .base import BasePDFLoader

logger = logging.getLogger(__name__)


[docs] class OpenDataLoaderPDFLoader(BasePDFLoader): """ PDF loader using OpenDataLoader backend. Advanced PDF parsing with support for multiple formats and configurations. No API key required - works locally. """
[docs] def load(self) -> List[Document]: """ Load PDF using OpenDataLoader. Returns: List of LangChain Document objects Raises: ImportError: If langchain-opendataloader-pdf is not installed """ try: from langchain_opendataloader_pdf import ( OpenDataLoaderPDFLoader as LCOpenDataLoaderPDFLoader, ) # Get format from kwargs, default to "text" format_type = self.kwargs.get("format", "text") loader = LCOpenDataLoaderPDFLoader( file_path=str(self.file_path), format=format_type ) return loader.load() except ImportError as e: logger.error(f"Failed to import OpenDataLoaderPDFLoader: {e}") raise ImportError( f"langchain-opendataloader-pdf is required for OpenDataLoader loader. {self.get_install_command()}" ) except Exception as e: logger.error(f"Error loading PDF with OpenDataLoader: {e}") raise
[docs] @staticmethod def get_install_command() -> str: """ Return the command to install required dependencies. Returns: Installation command string """ return "pip install langchain-opendataloader-pdf"