mirror of https://github.com/hwchase17/langchain
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.
392 lines
14 KiB
Python
392 lines
14 KiB
Python
"""Loader that uses unstructured to load files."""
|
|
import collections
|
|
from abc import ABC, abstractmethod
|
|
from pathlib import Path
|
|
from typing import IO, Any, Callable, Dict, Iterator, List, Optional, Sequence, Union
|
|
|
|
from langchain_core.documents import Document
|
|
|
|
from langchain_community.document_loaders.base import BaseLoader
|
|
|
|
|
|
def satisfies_min_unstructured_version(min_version: str) -> bool:
|
|
"""Check if the installed `Unstructured` version exceeds the minimum version
|
|
for the feature in question."""
|
|
from unstructured.__version__ import __version__ as __unstructured_version__
|
|
|
|
min_version_tuple = tuple([int(x) for x in min_version.split(".")])
|
|
|
|
# NOTE(MthwRobinson) - enables the loader to work when you're using pre-release
|
|
# versions of unstructured like 0.4.17-dev1
|
|
_unstructured_version = __unstructured_version__.split("-")[0]
|
|
unstructured_version_tuple = tuple(
|
|
[int(x) for x in _unstructured_version.split(".")]
|
|
)
|
|
|
|
return unstructured_version_tuple >= min_version_tuple
|
|
|
|
|
|
def validate_unstructured_version(min_unstructured_version: str) -> None:
|
|
"""Raise an error if the `Unstructured` version does not exceed the
|
|
specified minimum."""
|
|
if not satisfies_min_unstructured_version(min_unstructured_version):
|
|
raise ValueError(
|
|
f"unstructured>={min_unstructured_version} is required in this loader."
|
|
)
|
|
|
|
|
|
class UnstructuredBaseLoader(BaseLoader, ABC):
|
|
"""Base Loader that uses `Unstructured`."""
|
|
|
|
def __init__(
|
|
self,
|
|
mode: str = "single",
|
|
post_processors: Optional[List[Callable]] = None,
|
|
**unstructured_kwargs: Any,
|
|
):
|
|
"""Initialize with file path."""
|
|
try:
|
|
import unstructured # noqa:F401
|
|
except ImportError:
|
|
raise ImportError(
|
|
"unstructured package not found, please install it with "
|
|
"`pip install unstructured`"
|
|
)
|
|
_valid_modes = {"single", "elements", "paged"}
|
|
if mode not in _valid_modes:
|
|
raise ValueError(
|
|
f"Got {mode} for `mode`, but should be one of `{_valid_modes}`"
|
|
)
|
|
self.mode = mode
|
|
|
|
if not satisfies_min_unstructured_version("0.5.4"):
|
|
if "strategy" in unstructured_kwargs:
|
|
unstructured_kwargs.pop("strategy")
|
|
|
|
self.unstructured_kwargs = unstructured_kwargs
|
|
self.post_processors = post_processors or []
|
|
|
|
@abstractmethod
|
|
def _get_elements(self) -> List:
|
|
"""Get elements."""
|
|
|
|
@abstractmethod
|
|
def _get_metadata(self) -> dict:
|
|
"""Get metadata."""
|
|
|
|
def _post_process_elements(self, elements: list) -> list:
|
|
"""Applies post processing functions to extracted unstructured elements.
|
|
Post processing functions are str -> str callables are passed
|
|
in using the post_processors kwarg when the loader is instantiated."""
|
|
for element in elements:
|
|
for post_processor in self.post_processors:
|
|
element.apply(post_processor)
|
|
return elements
|
|
|
|
def lazy_load(self) -> Iterator[Document]:
|
|
"""Load file."""
|
|
elements = self._get_elements()
|
|
self._post_process_elements(elements)
|
|
if self.mode == "elements":
|
|
for element in elements:
|
|
metadata = self._get_metadata()
|
|
# NOTE(MthwRobinson) - the attribute check is for backward compatibility
|
|
# with unstructured<0.4.9. The metadata attributed was added in 0.4.9.
|
|
if hasattr(element, "metadata"):
|
|
metadata.update(element.metadata.to_dict())
|
|
if hasattr(element, "category"):
|
|
metadata["category"] = element.category
|
|
yield Document(page_content=str(element), metadata=metadata)
|
|
elif self.mode == "paged":
|
|
text_dict: Dict[int, str] = {}
|
|
meta_dict: Dict[int, Dict] = {}
|
|
|
|
for idx, element in enumerate(elements):
|
|
metadata = self._get_metadata()
|
|
if hasattr(element, "metadata"):
|
|
metadata.update(element.metadata.to_dict())
|
|
page_number = metadata.get("page_number", 1)
|
|
|
|
# Check if this page_number already exists in docs_dict
|
|
if page_number not in text_dict:
|
|
# If not, create new entry with initial text and metadata
|
|
text_dict[page_number] = str(element) + "\n\n"
|
|
meta_dict[page_number] = metadata
|
|
else:
|
|
# If exists, append to text and update the metadata
|
|
text_dict[page_number] += str(element) + "\n\n"
|
|
meta_dict[page_number].update(metadata)
|
|
|
|
# Convert the dict to a list of Document objects
|
|
for key in text_dict.keys():
|
|
yield Document(page_content=text_dict[key], metadata=meta_dict[key])
|
|
elif self.mode == "single":
|
|
metadata = self._get_metadata()
|
|
text = "\n\n".join([str(el) for el in elements])
|
|
yield Document(page_content=text, metadata=metadata)
|
|
else:
|
|
raise ValueError(f"mode of {self.mode} not supported.")
|
|
|
|
|
|
class UnstructuredFileLoader(UnstructuredBaseLoader):
|
|
"""Load files using `Unstructured`.
|
|
|
|
The file loader uses the
|
|
unstructured partition function and will automatically detect the file
|
|
type. You can run the loader in one of two modes: "single" and "elements".
|
|
If you use "single" mode, the document will be returned as a single
|
|
langchain Document object. If you use "elements" mode, the unstructured
|
|
library will split the document into elements such as Title and NarrativeText.
|
|
You can pass in additional unstructured kwargs after mode to apply
|
|
different unstructured settings.
|
|
|
|
Examples
|
|
--------
|
|
from langchain_community.document_loaders import UnstructuredFileLoader
|
|
|
|
loader = UnstructuredFileLoader(
|
|
"example.pdf", mode="elements", strategy="fast",
|
|
)
|
|
docs = loader.load()
|
|
|
|
References
|
|
----------
|
|
https://unstructured-io.github.io/unstructured/bricks.html#partition
|
|
"""
|
|
|
|
def __init__(
|
|
self,
|
|
file_path: Union[str, List[str], Path, List[Path], None],
|
|
mode: str = "single",
|
|
**unstructured_kwargs: Any,
|
|
):
|
|
"""Initialize with file path."""
|
|
self.file_path = file_path
|
|
super().__init__(mode=mode, **unstructured_kwargs)
|
|
|
|
def _get_elements(self) -> List:
|
|
from unstructured.partition.auto import partition
|
|
|
|
if isinstance(self.file_path, list):
|
|
elements = []
|
|
for file in self.file_path:
|
|
if isinstance(file, Path):
|
|
file = str(file)
|
|
elements.extend(partition(filename=file, **self.unstructured_kwargs))
|
|
return elements
|
|
else:
|
|
if isinstance(self.file_path, Path):
|
|
self.file_path = str(self.file_path)
|
|
return partition(filename=self.file_path, **self.unstructured_kwargs)
|
|
|
|
def _get_metadata(self) -> dict:
|
|
return {"source": self.file_path}
|
|
|
|
|
|
def get_elements_from_api(
|
|
file_path: Union[str, List[str], Path, List[Path], None] = None,
|
|
file: Union[IO, Sequence[IO], None] = None,
|
|
api_url: str = "https://api.unstructured.io/general/v0/general",
|
|
api_key: str = "",
|
|
**unstructured_kwargs: Any,
|
|
) -> List:
|
|
"""Retrieve a list of elements from the `Unstructured API`."""
|
|
if is_list := isinstance(file_path, list):
|
|
file_path = [str(path) for path in file_path]
|
|
if isinstance(file, collections.abc.Sequence) or is_list:
|
|
from unstructured.partition.api import partition_multiple_via_api
|
|
|
|
_doc_elements = partition_multiple_via_api(
|
|
filenames=file_path,
|
|
files=file,
|
|
api_key=api_key,
|
|
api_url=api_url,
|
|
**unstructured_kwargs,
|
|
)
|
|
|
|
elements = []
|
|
for _elements in _doc_elements:
|
|
elements.extend(_elements)
|
|
|
|
return elements
|
|
else:
|
|
from unstructured.partition.api import partition_via_api
|
|
|
|
return partition_via_api(
|
|
filename=str(file_path) if file_path is not None else None,
|
|
file=file,
|
|
api_key=api_key,
|
|
api_url=api_url,
|
|
**unstructured_kwargs,
|
|
)
|
|
|
|
|
|
class UnstructuredAPIFileLoader(UnstructuredFileLoader):
|
|
"""Load files using `Unstructured` API.
|
|
|
|
By default, the loader makes a call to the hosted Unstructured API.
|
|
If you are running the unstructured API locally, you can change the
|
|
API rule by passing in the url parameter when you initialize the loader.
|
|
The hosted Unstructured API requires an API key. See
|
|
https://www.unstructured.io/api-key/ if you need to generate a key.
|
|
|
|
You can run the loader in one of two modes: "single" and "elements".
|
|
If you use "single" mode, the document will be returned as a single
|
|
langchain Document object. If you use "elements" mode, the unstructured
|
|
library will split the document into elements such as Title and NarrativeText.
|
|
You can pass in additional unstructured kwargs after mode to apply
|
|
different unstructured settings.
|
|
|
|
Examples
|
|
```python
|
|
from langchain_community.document_loaders import UnstructuredAPIFileLoader
|
|
|
|
loader = UnstructuredFileAPILoader(
|
|
"example.pdf", mode="elements", strategy="fast", api_key="MY_API_KEY",
|
|
)
|
|
docs = loader.load()
|
|
|
|
References
|
|
----------
|
|
https://unstructured-io.github.io/unstructured/bricks.html#partition
|
|
https://www.unstructured.io/api-key/
|
|
https://github.com/Unstructured-IO/unstructured-api
|
|
"""
|
|
|
|
def __init__(
|
|
self,
|
|
file_path: Union[str, List[str], None] = "",
|
|
mode: str = "single",
|
|
url: str = "https://api.unstructured.io/general/v0/general",
|
|
api_key: str = "",
|
|
**unstructured_kwargs: Any,
|
|
):
|
|
"""Initialize with file path."""
|
|
|
|
validate_unstructured_version(min_unstructured_version="0.10.15")
|
|
|
|
self.url = url
|
|
self.api_key = api_key
|
|
|
|
super().__init__(file_path=file_path, mode=mode, **unstructured_kwargs)
|
|
|
|
def _get_metadata(self) -> dict:
|
|
return {"source": self.file_path}
|
|
|
|
def _get_elements(self) -> List:
|
|
return get_elements_from_api(
|
|
file_path=self.file_path,
|
|
api_key=self.api_key,
|
|
api_url=self.url,
|
|
**self.unstructured_kwargs,
|
|
)
|
|
|
|
|
|
class UnstructuredFileIOLoader(UnstructuredBaseLoader):
|
|
"""Load files using `Unstructured`.
|
|
|
|
The file loader
|
|
uses the unstructured partition function and will automatically detect the file
|
|
type. You can run the loader in one of two modes: "single" and "elements".
|
|
If you use "single" mode, the document will be returned as a single
|
|
langchain Document object. If you use "elements" mode, the unstructured
|
|
library will split the document into elements such as Title and NarrativeText.
|
|
You can pass in additional unstructured kwargs after mode to apply
|
|
different unstructured settings.
|
|
|
|
Examples
|
|
--------
|
|
from langchain_community.document_loaders import UnstructuredFileIOLoader
|
|
|
|
with open("example.pdf", "rb") as f:
|
|
loader = UnstructuredFileIOLoader(
|
|
f, mode="elements", strategy="fast",
|
|
)
|
|
docs = loader.load()
|
|
|
|
|
|
References
|
|
----------
|
|
https://unstructured-io.github.io/unstructured/bricks.html#partition
|
|
"""
|
|
|
|
def __init__(
|
|
self,
|
|
file: Union[IO, Sequence[IO]],
|
|
mode: str = "single",
|
|
**unstructured_kwargs: Any,
|
|
):
|
|
"""Initialize with file path."""
|
|
self.file = file
|
|
super().__init__(mode=mode, **unstructured_kwargs)
|
|
|
|
def _get_elements(self) -> List:
|
|
from unstructured.partition.auto import partition
|
|
|
|
return partition(file=self.file, **self.unstructured_kwargs)
|
|
|
|
def _get_metadata(self) -> dict:
|
|
return {}
|
|
|
|
|
|
class UnstructuredAPIFileIOLoader(UnstructuredFileIOLoader):
|
|
"""Load files using `Unstructured` API.
|
|
|
|
By default, the loader makes a call to the hosted Unstructured API.
|
|
If you are running the unstructured API locally, you can change the
|
|
API rule by passing in the url parameter when you initialize the loader.
|
|
The hosted Unstructured API requires an API key. See
|
|
https://www.unstructured.io/api-key/ if you need to generate a key.
|
|
|
|
You can run the loader in one of two modes: "single" and "elements".
|
|
If you use "single" mode, the document will be returned as a single
|
|
langchain Document object. If you use "elements" mode, the unstructured
|
|
library will split the document into elements such as Title and NarrativeText.
|
|
You can pass in additional unstructured kwargs after mode to apply
|
|
different unstructured settings.
|
|
|
|
Examples
|
|
--------
|
|
from langchain_community.document_loaders import UnstructuredAPIFileLoader
|
|
|
|
with open("example.pdf", "rb") as f:
|
|
loader = UnstructuredFileAPILoader(
|
|
f, mode="elements", strategy="fast", api_key="MY_API_KEY",
|
|
)
|
|
docs = loader.load()
|
|
|
|
References
|
|
----------
|
|
https://unstructured-io.github.io/unstructured/bricks.html#partition
|
|
https://www.unstructured.io/api-key/
|
|
https://github.com/Unstructured-IO/unstructured-api
|
|
"""
|
|
|
|
def __init__(
|
|
self,
|
|
file: Union[IO, Sequence[IO]],
|
|
mode: str = "single",
|
|
url: str = "https://api.unstructured.io/general/v0/general",
|
|
api_key: str = "",
|
|
**unstructured_kwargs: Any,
|
|
):
|
|
"""Initialize with file path."""
|
|
|
|
if isinstance(file, collections.abc.Sequence):
|
|
validate_unstructured_version(min_unstructured_version="0.6.3")
|
|
if file:
|
|
validate_unstructured_version(min_unstructured_version="0.6.2")
|
|
|
|
self.url = url
|
|
self.api_key = api_key
|
|
|
|
super().__init__(file=file, mode=mode, **unstructured_kwargs)
|
|
|
|
def _get_elements(self) -> List:
|
|
return get_elements_from_api(
|
|
file=self.file,
|
|
api_key=self.api_key,
|
|
api_url=self.url,
|
|
**self.unstructured_kwargs,
|
|
)
|