Source code for langchain_community.document_loaders.directory

import concurrent
import logging
import random
from pathlib import Path
from typing import Any, List, Optional, Type, Union

from langchain_core.documents import Document

from langchain_community.document_loaders.base import BaseLoader
from langchain_community.document_loaders.html_bs import BSHTMLLoader
from langchain_community.document_loaders.text import TextLoader
from langchain_community.document_loaders.unstructured import UnstructuredFileLoader

FILE_LOADER_TYPE = Union[
    Type[UnstructuredFileLoader], Type[TextLoader], Type[BSHTMLLoader]
]
logger = logging.getLogger(__name__)


def _is_visible(p: Path) -> bool:
    parts = p.parts
    for _p in parts:
        if _p.startswith("."):
            return False
    return True


[docs]class DirectoryLoader(BaseLoader): """Load from a directory."""
[docs] def __init__( self, path: str, glob: str = "**/[!.]*", silent_errors: bool = False, load_hidden: bool = False, loader_cls: FILE_LOADER_TYPE = UnstructuredFileLoader, loader_kwargs: Union[dict, None] = None, recursive: bool = False, show_progress: bool = False, use_multithreading: bool = False, max_concurrency: int = 4, *, sample_size: int = 0, randomize_sample: bool = False, sample_seed: Union[int, None] = None, ): """Initialize with a path to directory and how to glob over it. Args: path: Path to directory. glob: Glob pattern to use to find files. Defaults to "**/[!.]*" (all files except hidden). silent_errors: Whether to silently ignore errors. Defaults to False. load_hidden: Whether to load hidden files. Defaults to False. loader_cls: Loader class to use for loading files. Defaults to UnstructuredFileLoader. loader_kwargs: Keyword arguments to pass to loader_cls. Defaults to None. recursive: Whether to recursively search for files. Defaults to False. show_progress: Whether to show a progress bar. Defaults to False. use_multithreading: Whether to use multithreading. Defaults to False. max_concurrency: The maximum number of threads to use. Defaults to 4. sample_size: The maximum number of files you would like to load from the directory. randomize_sample: Suffle the files to get a random sample. sample_seed: set the seed of the random shuffle for reporoducibility. """ if loader_kwargs is None: loader_kwargs = {} self.path = path self.glob = glob self.load_hidden = load_hidden self.loader_cls = loader_cls self.loader_kwargs = loader_kwargs self.silent_errors = silent_errors self.recursive = recursive self.show_progress = show_progress self.use_multithreading = use_multithreading self.max_concurrency = max_concurrency self.sample_size = sample_size self.randomize_sample = randomize_sample self.sample_seed = sample_seed
[docs] def load_file( self, item: Path, path: Path, docs: List[Document], pbar: Optional[Any] ) -> None: """Load a file. Args: item: File path. path: Directory path. docs: List of documents to append to. pbar: Progress bar. Defaults to None. """ if item.is_file(): if _is_visible(item.relative_to(path)) or self.load_hidden: try: logger.debug(f"Processing file: {str(item)}") sub_docs = self.loader_cls(str(item), **self.loader_kwargs).load() docs.extend(sub_docs) except Exception as e: if self.silent_errors: logger.warning(f"Error loading file {str(item)}: {e}") else: raise e finally: if pbar: pbar.update(1)
[docs] def load(self) -> List[Document]: """Load documents.""" p = Path(self.path) if not p.exists(): raise FileNotFoundError(f"Directory not found: '{self.path}'") if not p.is_dir(): raise ValueError(f"Expected directory, got file: '{self.path}'") docs: List[Document] = [] items = list(p.rglob(self.glob) if self.recursive else p.glob(self.glob)) if self.sample_size > 0: if self.randomize_sample: randomizer = ( random.Random(self.sample_seed) if self.sample_seed else random ) randomizer.shuffle(items) # type: ignore items = items[: min(len(items), self.sample_size)] pbar = None if self.show_progress: try: from tqdm import tqdm pbar = tqdm(total=len(items)) except ImportError as e: logger.warning( "To log the progress of DirectoryLoader you need to install tqdm, " "`pip install tqdm`" ) if self.silent_errors: logger.warning(e) else: raise ImportError( "To log the progress of DirectoryLoader " "you need to install tqdm, " "`pip install tqdm`" ) if self.use_multithreading: with concurrent.futures.ThreadPoolExecutor( max_workers=self.max_concurrency ) as executor: executor.map(lambda i: self.load_file(i, p, docs, pbar), items) else: for i in items: self.load_file(i, p, docs, pbar) if pbar: pbar.close() return docs