You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
langchain/langchain/document_loaders/pdf.py

208 lines
6.6 KiB
Python

"""Loader that loads PDF files."""
import os
import tempfile
from abc import ABC
from io import StringIO
from typing import Any, List, Optional
from urllib.parse import urlparse
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.unstructured import UnstructuredFileLoader
class UnstructuredPDFLoader(UnstructuredFileLoader):
"""Loader that uses unstructured to load PDF files."""
def _get_elements(self) -> List:
from unstructured.partition.pdf import partition_pdf
return partition_pdf(filename=self.file_path, **self.unstructured_kwargs)
class BasePDFLoader(BaseLoader, ABC):
"""Base loader class for PDF files.
Defaults to check for local file, but if the file is a web path, it will download it
to a temporary file, and use that, then clean up the temporary file after completion
"""
file_path: str
web_path: Optional[str] = None
def __init__(self, file_path: str):
"""Initialize with file path."""
self.file_path = file_path
if "~" in self.file_path:
self.file_path = os.path.expanduser(self.file_path)
# If the file is a web path, download it to a temporary file, and use that
if not os.path.isfile(self.file_path) and self._is_valid_url(self.file_path):
r = requests.get(self.file_path)
if r.status_code != 200:
raise ValueError(
"Check the url of your file; returned status code %s"
% r.status_code
)
self.web_path = self.file_path
self.temp_file = tempfile.NamedTemporaryFile()
self.temp_file.write(r.content)
self.file_path = self.temp_file.name
elif not os.path.isfile(self.file_path):
raise ValueError("File path %s is not a valid file or url" % self.file_path)
def __del__(self) -> None:
if hasattr(self, "temp_file"):
self.temp_file.close()
@staticmethod
def _is_valid_url(url: str) -> bool:
"""Check if the url is valid."""
parsed = urlparse(url)
return bool(parsed.netloc) and bool(parsed.scheme)
class OnlinePDFLoader(BasePDFLoader):
"""Loader that loads online PDFs."""
def load(self) -> List[Document]:
"""Load documents."""
loader = UnstructuredPDFLoader(str(self.file_path))
return loader.load()
class PyPDFLoader(BasePDFLoader):
"""Loads a PDF with pypdf and chunks at character level.
Loader also stores page numbers in metadatas.
"""
def __init__(self, file_path: str):
"""Initialize with file path."""
try:
import pypdf # noqa:F401
except ImportError:
raise ValueError(
"pypdf package not found, please install it with " "`pip install pypdf`"
)
super().__init__(file_path)
def load(self) -> List[Document]:
"""Load given path as pages."""
import pypdf
with open(self.file_path, "rb") as pdf_file_obj:
pdf_reader = pypdf.PdfReader(pdf_file_obj)
return [
Document(
page_content=page.extract_text(),
metadata={"source": self.file_path, "page": i},
)
for i, page in enumerate(pdf_reader.pages)
]
class PDFMinerLoader(BasePDFLoader):
"""Loader that uses PDFMiner to load PDF files."""
def __init__(self, file_path: str):
"""Initialize with file path."""
try:
from pdfminer.high_level import extract_text # noqa:F401
except ImportError:
raise ValueError(
"pdfminer package not found, please install it with "
"`pip install pdfminer.six`"
)
super().__init__(file_path)
def load(self) -> List[Document]:
"""Load file."""
from pdfminer.high_level import extract_text
text = extract_text(self.file_path)
metadata = {"source": self.file_path}
return [Document(page_content=text, metadata=metadata)]
class PDFMinerPDFasHTMLLoader(BasePDFLoader):
"""Loader that uses PDFMiner to load PDF files as HTML content."""
def __init__(self, file_path: str):
"""Initialize with file path."""
try:
from pdfminer.high_level import extract_text_to_fp # noqa:F401
except ImportError:
raise ValueError(
"pdfminer package not found, please install it with "
"`pip install pdfminer.six`"
)
super().__init__(file_path)
def load(self) -> List[Document]:
"""Load file."""
from pdfminer.high_level import extract_text_to_fp
from pdfminer.layout import LAParams
from pdfminer.utils import open_filename
output_string = StringIO()
with open_filename(self.file_path, "rb") as fp:
extract_text_to_fp(
fp, # type: ignore[arg-type]
output_string,
codec="",
laparams=LAParams(),
output_type="html",
)
metadata = {"source": self.file_path}
return [Document(page_content=output_string.getvalue(), metadata=metadata)]
class PyMuPDFLoader(BasePDFLoader):
"""Loader that uses PyMuPDF to load PDF files."""
def __init__(self, file_path: str):
"""Initialize with file path."""
try:
import fitz # noqa:F401
except ImportError:
raise ValueError(
"PyMuPDF package not found, please install it with "
"`pip install pymupdf`"
)
super().__init__(file_path)
def load(self, **kwargs: Optional[Any]) -> List[Document]:
"""Load file."""
import fitz
doc = fitz.open(self.file_path) # open document
file_path = self.file_path if self.web_path is None else self.web_path
return [
Document(
page_content=page.get_text(**kwargs).encode("utf-8"),
metadata=dict(
{
"source": file_path,
"file_path": file_path,
"page_number": page.number + 1,
"total_pages": len(doc),
},
**{
k: doc.metadata[k]
for k in doc.metadata
if type(doc.metadata[k]) in [str, int]
}
),
)
for page in doc
]