"""
PDFPlumber loader implementation.
Reference: https://python.langchain.com/docs/integrations/document_loaders/pdfplumber/
"""
import logging
from typing import List
from langchain_core.documents import Document
from .base import BasePDFLoader
logger = logging.getLogger(__name__)
[docs]
class PDFPlumberLoader(BasePDFLoader):
"""
PDF loader using pdfplumber backend.
Extracts text and table data from PDFs with high accuracy.
No API key required - works locally.
"""
[docs]
def load(self) -> List[Document]:
"""
Load PDF using pdfplumber.
Returns:
List of LangChain Document objects
Raises:
ImportError: If langchain-community or pdfplumber is not installed
"""
try:
from langchain_community.document_loaders import (
PDFPlumberLoader as LCPDFPlumberLoader,
)
loader = LCPDFPlumberLoader(str(self.file_path))
return loader.load()
except ImportError as e:
logger.error(f"Failed to import PDFPlumberLoader: {e}")
raise ImportError(
f"langchain-community and pdfplumber are required for PDFPlumber loader. {self.get_install_command()}"
)
except Exception as e:
logger.error(f"Error loading PDF with PDFPlumber: {e}")
raise
[docs]
@staticmethod
def get_install_command() -> str:
"""
Return the command to install required dependencies.
Returns:
Installation command string
"""
return "pip install langchain-community pdfplumber"