Simple directory reader

Simple reader that reads files of different formats from a directory.

SimpleDirectoryReader

Bases: BaseReader

Simple directory reader.

Load files from file directory. Automatically select the best file reader given file extensions.

Parameters:

Name	Type	Description	Default
input_dir	str	Path to the directory.	None
input_files	List	List of file paths to read (Optional; overrides input_dir, exclude)	None
exclude	List	glob of python file paths to exclude (Optional)	None
exclude_hidden	bool	Whether to exclude hidden files (dotfiles).	True
encoding	str	Encoding of the files. Default is utf-8.	'utf-8'
errors	str	how encoding and decoding errors are to be handled, see https://docs.python.org/3/library/functions.html#open	'ignore'
recursive	bool	Whether to recursively search in subdirectories. False by default.	False
filename_as_id	bool	Whether to use the filename as the document id. False by default.	False
required_exts	Optional[List[str]]	List of required extensions. Default is None.	None
file_extractor	Optional[Dict[str, BaseReader]]	A mapping of file extension to a BaseReader class that specifies how to convert that file to text. If not specified, use default from DEFAULT_FILE_READER_CLS.	None
num_files_limit	Optional[int]	Maximum number of files to read. Default is None.	None
file_metadata	Optional[Callable[str, Dict]]	A function that takes in a filename and returns a Dict of metadata for the Document. Default is None.	None
raise_on_error	bool	Whether to raise an error if a file cannot be read.	False
fs	Optional[AbstractFileSystem]	File system to use. Defaults	None

Source code in llama-index-core/llama_index/core/readers/file/base.py

class SimpleDirectoryReader(BaseReader):
    """Simple directory reader.

    Load files from file directory.
    Automatically select the best file reader given file extensions.

    Args:
        input_dir (str): Path to the directory.
        input_files (List): List of file paths to read
            (Optional; overrides input_dir, exclude)
        exclude (List): glob of python file paths to exclude (Optional)
        exclude_hidden (bool): Whether to exclude hidden files (dotfiles).
        encoding (str): Encoding of the files.
            Default is utf-8.
        errors (str): how encoding and decoding errors are to be handled,
              see https://docs.python.org/3/library/functions.html#open
        recursive (bool): Whether to recursively search in subdirectories.
            False by default.
        filename_as_id (bool): Whether to use the filename as the document id.
            False by default.
        required_exts (Optional[List[str]]): List of required extensions.
            Default is None.
        file_extractor (Optional[Dict[str, BaseReader]]): A mapping of file
            extension to a BaseReader class that specifies how to convert that file
            to text. If not specified, use default from DEFAULT_FILE_READER_CLS.
        num_files_limit (Optional[int]): Maximum number of files to read.
            Default is None.
        file_metadata (Optional[Callable[str, Dict]]): A function that takes
            in a filename and returns a Dict of metadata for the Document.
            Default is None.
        raise_on_error (bool): Whether to raise an error if a file cannot be read.
        fs (Optional[fsspec.AbstractFileSystem]): File system to use. Defaults
        to using the local file system. Can be changed to use any remote file system
        exposed via the fsspec interface.
    """

    supported_suffix_fn: Callable = _try_loading_included_file_formats

    def __init__(
        self,
        input_dir: Optional[str] = None,
        input_files: Optional[List] = None,
        exclude: Optional[List] = None,
        exclude_hidden: bool = True,
        errors: str = "ignore",
        recursive: bool = False,
        encoding: str = "utf-8",
        filename_as_id: bool = False,
        required_exts: Optional[List[str]] = None,
        file_extractor: Optional[Dict[str, BaseReader]] = None,
        num_files_limit: Optional[int] = None,
        file_metadata: Optional[Callable[[str], Dict]] = None,
        raise_on_error: bool = False,
        fs: Optional[fsspec.AbstractFileSystem] = None,
    ) -> None:
        """Initialize with parameters."""
        super().__init__()

        if not input_dir and not input_files:
            raise ValueError("Must provide either `input_dir` or `input_files`.")

        self.fs = fs or get_default_fs()
        self.errors = errors
        self.encoding = encoding

        self.exclude = exclude
        self.recursive = recursive
        self.exclude_hidden = exclude_hidden
        self.required_exts = required_exts
        self.num_files_limit = num_files_limit
        self.raise_on_error = raise_on_error
        _Path = Path if is_default_fs(self.fs) else PurePosixPath

        if input_files:
            self.input_files = []
            for path in input_files:
                if not self.fs.isfile(path):
                    raise ValueError(f"File {path} does not exist.")
                input_file = _Path(path)
                self.input_files.append(input_file)
        elif input_dir:
            if not self.fs.isdir(input_dir):
                raise ValueError(f"Directory {input_dir} does not exist.")
            self.input_dir = _Path(input_dir)
            self.exclude = exclude
            self.input_files = self._add_files(self.input_dir)

        if file_extractor is not None:
            self.file_extractor = file_extractor
        else:
            self.file_extractor = {}

        self.file_metadata = file_metadata or _DefaultFileMetadataFunc(self.fs)
        self.filename_as_id = filename_as_id

    def is_hidden(self, path: Path) -> bool:
        return any(
            part.startswith(".") and part not in [".", ".."] for part in path.parts
        )

    def _add_files(self, input_dir: Path) -> List[Path]:
        """Add files."""
        all_files = set()
        rejected_files = set()
        rejected_dirs = set()
        # Default to POSIX paths for non-default file systems (e.g. S3)
        _Path = Path if is_default_fs(self.fs) else PurePosixPath

        if self.exclude is not None:
            for excluded_pattern in self.exclude:
                if self.recursive:
                    # Recursive glob
                    excluded_glob = _Path(input_dir) / _Path("**") / excluded_pattern
                else:
                    # Non-recursive glob
                    excluded_glob = _Path(input_dir) / excluded_pattern
                for file in self.fs.glob(str(excluded_glob)):
                    if self.fs.isdir(file):
                        rejected_dirs.add(_Path(file))
                    else:
                        rejected_files.add(_Path(file))

        file_refs: List[str] = []
        if self.recursive:
            file_refs = self.fs.glob(str(input_dir) + "/**/*")
        else:
            file_refs = self.fs.glob(str(input_dir) + "/*")

        for ref in file_refs:
            # Manually check if file is hidden or directory instead of
            # in glob for backwards compatibility.
            ref = _Path(ref)
            is_dir = self.fs.isdir(ref)
            skip_because_hidden = self.exclude_hidden and self.is_hidden(ref)
            skip_because_bad_ext = (
                self.required_exts is not None and ref.suffix not in self.required_exts
            )
            skip_because_excluded = ref in rejected_files
            if not skip_because_excluded:
                if is_dir:
                    ref_parent_dir = ref
                else:
                    ref_parent_dir = self.fs._parent(ref)
                for rejected_dir in rejected_dirs:
                    if str(ref_parent_dir).startswith(str(rejected_dir)):
                        skip_because_excluded = True
                        logger.debug(
                            "Skipping %s because it in parent dir %s which is in %s",
                            ref,
                            ref_parent_dir,
                            rejected_dir,
                        )
                        break

            if (
                is_dir
                or skip_because_hidden
                or skip_because_bad_ext
                or skip_because_excluded
            ):
                continue
            else:
                all_files.add(ref)

        new_input_files = sorted(all_files)

        if len(new_input_files) == 0:
            raise ValueError(f"No files found in {input_dir}.")

        if self.num_files_limit is not None and self.num_files_limit > 0:
            new_input_files = new_input_files[0 : self.num_files_limit]

        # print total number of files added
        logger.debug(
            f"> [SimpleDirectoryReader] Total files added: {len(new_input_files)}"
        )

        return new_input_files

    def _exclude_metadata(self, documents: List[Document]) -> List[Document]:
        """Exclude metadata from documents.

        Args:
            documents (List[Document]): List of documents.
        """
        for doc in documents:
            # Keep only metadata['file_path'] in both embedding and llm content
            # str, which contain extreme important context that about the chunks.
            # Dates is provided for convenience of postprocessor such as
            # TimeWeightedPostprocessor, but excluded for embedding and LLMprompts
            doc.excluded_embed_metadata_keys.extend(
                [
                    "file_name",
                    "file_type",
                    "file_size",
                    "creation_date",
                    "last_modified_date",
                    "last_accessed_date",
                ]
            )
            doc.excluded_llm_metadata_keys.extend(
                [
                    "file_name",
                    "file_type",
                    "file_size",
                    "creation_date",
                    "last_modified_date",
                    "last_accessed_date",
                ]
            )

        return documents

    @staticmethod
    def load_file(
        input_file: Path,
        file_metadata: Callable[[str], Dict],
        file_extractor: Dict[str, BaseReader],
        filename_as_id: bool = False,
        encoding: str = "utf-8",
        errors: str = "ignore",
        raise_on_error: bool = False,
        fs: Optional[fsspec.AbstractFileSystem] = None,
    ) -> List[Document]:
        """Static method for loading file.

        NOTE: necessarily as a static method for parallel processing.

        Args:
            input_file (Path): _description_
            file_metadata (Callable[[str], Dict]): _description_
            file_extractor (Dict[str, BaseReader]): _description_
            filename_as_id (bool, optional): _description_. Defaults to False.
            encoding (str, optional): _description_. Defaults to "utf-8".
            errors (str, optional): _description_. Defaults to "ignore".
            fs (Optional[fsspec.AbstractFileSystem], optional): _description_. Defaults to None.

        input_file (Path): File path to read
        file_metadata ([Callable[str, Dict]]): A function that takes
            in a filename and returns a Dict of metadata for the Document.
        file_extractor (Dict[str, BaseReader]): A mapping of file
            extension to a BaseReader class that specifies how to convert that file
            to text.
        filename_as_id (bool): Whether to use the filename as the document id.
        encoding (str): Encoding of the files.
            Default is utf-8.
        errors (str): how encoding and decoding errors are to be handled,
              see https://docs.python.org/3/library/functions.html#open
        raise_on_error (bool): Whether to raise an error if a file cannot be read.
        fs (Optional[fsspec.AbstractFileSystem]): File system to use. Defaults
            to using the local file system. Can be changed to use any remote file system

        Returns:
            List[Document]: loaded documents
        """
        # TODO: make this less redundant
        default_file_reader_cls = SimpleDirectoryReader.supported_suffix_fn()
        default_file_reader_suffix = list(default_file_reader_cls.keys())
        metadata: Optional[dict] = None
        documents: List[Document] = []

        if file_metadata is not None:
            metadata = file_metadata(str(input_file))

        file_suffix = input_file.suffix.lower()
        if file_suffix in default_file_reader_suffix or file_suffix in file_extractor:
            # use file readers
            if file_suffix not in file_extractor:
                # instantiate file reader if not already
                reader_cls = default_file_reader_cls[file_suffix]
                file_extractor[file_suffix] = reader_cls()
            reader = file_extractor[file_suffix]

            # load data -- catch all errors except for ImportError
            try:
                kwargs = {"extra_info": metadata}
                if fs and not is_default_fs(fs):
                    kwargs["fs"] = fs
                docs = reader.load_data(input_file, **kwargs)
            except ImportError as e:
                # ensure that ImportError is raised so user knows
                # about missing dependencies
                raise ImportError(str(e))
            except Exception as e:
                if raise_on_error:
                    raise Exception("Error loading file") from e
                # otherwise, just skip the file and report the error
                print(
                    f"Failed to load file {input_file} with error: {e}. Skipping...",
                    flush=True,
                )
                return []

            # iterate over docs if needed
            if filename_as_id:
                for i, doc in enumerate(docs):
                    doc.id_ = f"{input_file!s}_part_{i}"

            documents.extend(docs)
        else:
            # do standard read
            fs = fs or get_default_fs()
            with fs.open(input_file, errors=errors, encoding=encoding) as f:
                data = f.read().decode(encoding, errors=errors)

            doc = Document(text=data, metadata=metadata or {})
            if filename_as_id:
                doc.id_ = str(input_file)

            documents.append(doc)

        return documents

    async def aload_file(self, input_file: Path) -> List[Document]:
        """Load file asynchronously."""
        # TODO: make this less redundant
        default_file_reader_cls = SimpleDirectoryReader.supported_suffix_fn()
        default_file_reader_suffix = list(default_file_reader_cls.keys())
        metadata: Optional[dict] = None
        documents: List[Document] = []

        if self.file_metadata is not None:
            metadata = self.file_metadata(str(input_file))

        file_suffix = input_file.suffix.lower()
        if (
            file_suffix in default_file_reader_suffix
            or file_suffix in self.file_extractor
        ):
            # use file readers
            if file_suffix not in self.file_extractor:
                # instantiate file reader if not already
                reader_cls = default_file_reader_cls[file_suffix]
                self.file_extractor[file_suffix] = reader_cls()
            reader = self.file_extractor[file_suffix]

            # load data -- catch all errors except for ImportError
            try:
                kwargs = {"extra_info": metadata}
                if self.fs and not is_default_fs(self.fs):
                    kwargs["fs"] = self.fs
                docs = await reader.aload_data(input_file, **kwargs)
            except ImportError as e:
                # ensure that ImportError is raised so user knows
                # about missing dependencies
                raise ImportError(str(e))
            except Exception as e:
                if self.raise_on_error:
                    raise
                # otherwise, just skip the file and report the error
                print(
                    f"Failed to load file {input_file} with error: {e}. Skipping...",
                    flush=True,
                )
                return []

            # iterate over docs if needed
            if self.filename_as_id:
                for i, doc in enumerate(docs):
                    doc.id_ = f"{input_file!s}_part_{i}"

            documents.extend(docs)
        else:
            # do standard read
            fs = self.fs or get_default_fs()
            with fs.open(input_file, errors=self.errors, encoding=self.encoding) as f:
                data = f.read().decode(self.encoding, errors=self.errors)

            doc = Document(text=data, metadata=metadata or {})
            if self.filename_as_id:
                doc.id_ = str(input_file)

            documents.append(doc)

        return documents

    def load_data(
        self,
        show_progress: bool = False,
        num_workers: Optional[int] = None,
        fs: Optional[fsspec.AbstractFileSystem] = None,
    ) -> List[Document]:
        """Load data from the input directory.

        Args:
            show_progress (bool): Whether to show tqdm progress bars. Defaults to False.
            num_workers  (Optional[int]): Number of workers to parallelize data-loading over.
            fs (Optional[fsspec.AbstractFileSystem]): File system to use. If fs was specified
                in the constructor, it will override the fs parameter here.

        Returns:
            List[Document]: A list of documents.
        """
        documents = []

        files_to_process = self.input_files
        fs = fs or self.fs

        if num_workers and num_workers > 1:
            if num_workers > multiprocessing.cpu_count():
                warnings.warn(
                    "Specified num_workers exceed number of CPUs in the system. "
                    "Setting `num_workers` down to the maximum CPU count."
                )
            with multiprocessing.get_context("spawn").Pool(num_workers) as p:
                results = p.starmap(
                    SimpleDirectoryReader.load_file,
                    zip(
                        files_to_process,
                        repeat(self.file_metadata),
                        repeat(self.file_extractor),
                        repeat(self.filename_as_id),
                        repeat(self.encoding),
                        repeat(self.errors),
                        repeat(self.raise_on_error),
                        repeat(fs),
                    ),
                )
                documents = reduce(lambda x, y: x + y, results)

        else:
            if show_progress:
                files_to_process = tqdm(
                    self.input_files, desc="Loading files", unit="file"
                )
            for input_file in files_to_process:
                documents.extend(
                    SimpleDirectoryReader.load_file(
                        input_file=input_file,
                        file_metadata=self.file_metadata,
                        file_extractor=self.file_extractor,
                        filename_as_id=self.filename_as_id,
                        encoding=self.encoding,
                        errors=self.errors,
                        raise_on_error=self.raise_on_error,
                        fs=fs,
                    )
                )

        return self._exclude_metadata(documents)

    async def aload_data(
        self,
        show_progress: bool = False,
        num_workers: Optional[int] = None,
        fs: Optional[fsspec.AbstractFileSystem] = None,
    ) -> List[Document]:
        """Load data from the input directory.

        Args:
            show_progress (bool): Whether to show tqdm progress bars. Defaults to False.
            num_workers  (Optional[int]): Number of workers to parallelize data-loading over.
            fs (Optional[fsspec.AbstractFileSystem]): File system to use. If fs was specified
                in the constructor, it will override the fs parameter here.

        Returns:
            List[Document]: A list of documents.
        """
        files_to_process = self.input_files
        fs = fs or self.fs

        coroutines = [self.aload_file(input_file) for input_file in files_to_process]
        if num_workers:
            document_lists = await run_jobs(
                coroutines, show_progress=show_progress, workers=num_workers
            )
        elif show_progress:
            _asyncio = get_asyncio_module(show_progress=show_progress)
            document_lists = await _asyncio.gather(*coroutines)
        else:
            document_lists = await asyncio.gather(*coroutines)
        documents = [doc for doc_list in document_lists for doc in doc_list]

        return self._exclude_metadata(documents)

    def iter_data(
        self, show_progress: bool = False
    ) -> Generator[List[Document], Any, Any]:
        """Load data iteratively from the input directory.

        Args:
            show_progress (bool): Whether to show tqdm progress bars. Defaults to False.

        Returns:
            Generator[List[Document]]: A list of documents.
        """
        files_to_process = self.input_files

        if show_progress:
            files_to_process = tqdm(self.input_files, desc="Loading files", unit="file")

        for input_file in files_to_process:
            documents = SimpleDirectoryReader.load_file(
                input_file=input_file,
                file_metadata=self.file_metadata,
                file_extractor=self.file_extractor,
                filename_as_id=self.filename_as_id,
                encoding=self.encoding,
                errors=self.errors,
                raise_on_error=self.raise_on_error,
                fs=self.fs,
            )

            documents = self._exclude_metadata(documents)

            if len(documents) > 0:
                yield documents

load_file staticmethod

load_file(input_file: Path, file_metadata: Callable[[str], Dict], file_extractor: Dict[str, BaseReader], filename_as_id: bool = False, encoding: str = 'utf-8', errors: str = 'ignore', raise_on_error: bool = False, fs: Optional[AbstractFileSystem] = None) -> List[Document]

Static method for loading file.

NOTE: necessarily as a static method for parallel processing.

Parameters:

Name	Type	Description	Default
input_file	Path	description	required
file_metadata	Callable[[str], Dict]	description	required
file_extractor	Dict[str, BaseReader]	description	required
filename_as_id	bool	description. Defaults to False.	False
encoding	str	description. Defaults to "utf-8".	'utf-8'
errors	str	description. Defaults to "ignore".	'ignore'
fs	Optional[AbstractFileSystem]	description. Defaults to None.	None

input_file (Path): File path to read file_metadata ([Callable[str, Dict]]): A function that takes in a filename and returns a Dict of metadata for the Document. file_extractor (Dict[str, BaseReader]): A mapping of file extension to a BaseReader class that specifies how to convert that file to text. filename_as_id (bool): Whether to use the filename as the document id. encoding (str): Encoding of the files. Default is utf-8. errors (str): how encoding and decoding errors are to be handled, see https://docs.python.org/3/library/functions.html#open raise_on_error (bool): Whether to raise an error if a file cannot be read. fs (Optional[fsspec.AbstractFileSystem]): File system to use. Defaults to using the local file system. Can be changed to use any remote file system

Returns:

Type	Description
List[Document]	List[Document]: loaded documents

Source code in llama-index-core/llama_index/core/readers/file/base.py

@staticmethod
def load_file(
    input_file: Path,
    file_metadata: Callable[[str], Dict],
    file_extractor: Dict[str, BaseReader],
    filename_as_id: bool = False,
    encoding: str = "utf-8",
    errors: str = "ignore",
    raise_on_error: bool = False,
    fs: Optional[fsspec.AbstractFileSystem] = None,
) -> List[Document]:
    """Static method for loading file.

    NOTE: necessarily as a static method for parallel processing.

    Args:
        input_file (Path): _description_
        file_metadata (Callable[[str], Dict]): _description_
        file_extractor (Dict[str, BaseReader]): _description_
        filename_as_id (bool, optional): _description_. Defaults to False.
        encoding (str, optional): _description_. Defaults to "utf-8".
        errors (str, optional): _description_. Defaults to "ignore".
        fs (Optional[fsspec.AbstractFileSystem], optional): _description_. Defaults to None.

    input_file (Path): File path to read
    file_metadata ([Callable[str, Dict]]): A function that takes
        in a filename and returns a Dict of metadata for the Document.
    file_extractor (Dict[str, BaseReader]): A mapping of file
        extension to a BaseReader class that specifies how to convert that file
        to text.
    filename_as_id (bool): Whether to use the filename as the document id.
    encoding (str): Encoding of the files.
        Default is utf-8.
    errors (str): how encoding and decoding errors are to be handled,
          see https://docs.python.org/3/library/functions.html#open
    raise_on_error (bool): Whether to raise an error if a file cannot be read.
    fs (Optional[fsspec.AbstractFileSystem]): File system to use. Defaults
        to using the local file system. Can be changed to use any remote file system

    Returns:
        List[Document]: loaded documents
    """
    # TODO: make this less redundant
    default_file_reader_cls = SimpleDirectoryReader.supported_suffix_fn()
    default_file_reader_suffix = list(default_file_reader_cls.keys())
    metadata: Optional[dict] = None
    documents: List[Document] = []

    if file_metadata is not None:
        metadata = file_metadata(str(input_file))

    file_suffix = input_file.suffix.lower()
    if file_suffix in default_file_reader_suffix or file_suffix in file_extractor:
        # use file readers
        if file_suffix not in file_extractor:
            # instantiate file reader if not already
            reader_cls = default_file_reader_cls[file_suffix]
            file_extractor[file_suffix] = reader_cls()
        reader = file_extractor[file_suffix]

        # load data -- catch all errors except for ImportError
        try:
            kwargs = {"extra_info": metadata}
            if fs and not is_default_fs(fs):
                kwargs["fs"] = fs
            docs = reader.load_data(input_file, **kwargs)
        except ImportError as e:
            # ensure that ImportError is raised so user knows
            # about missing dependencies
            raise ImportError(str(e))
        except Exception as e:
            if raise_on_error:
                raise Exception("Error loading file") from e
            # otherwise, just skip the file and report the error
            print(
                f"Failed to load file {input_file} with error: {e}. Skipping...",
                flush=True,
            )
            return []

        # iterate over docs if needed
        if filename_as_id:
            for i, doc in enumerate(docs):
                doc.id_ = f"{input_file!s}_part_{i}"

        documents.extend(docs)
    else:
        # do standard read
        fs = fs or get_default_fs()
        with fs.open(input_file, errors=errors, encoding=encoding) as f:
            data = f.read().decode(encoding, errors=errors)

        doc = Document(text=data, metadata=metadata or {})
        if filename_as_id:
            doc.id_ = str(input_file)

        documents.append(doc)

    return documents

aload_file async

aload_file(input_file: Path) -> List[Document]

Load file asynchronously.

Source code in llama-index-core/llama_index/core/readers/file/base.py

async def aload_file(self, input_file: Path) -> List[Document]:
    """Load file asynchronously."""
    # TODO: make this less redundant
    default_file_reader_cls = SimpleDirectoryReader.supported_suffix_fn()
    default_file_reader_suffix = list(default_file_reader_cls.keys())
    metadata: Optional[dict] = None
    documents: List[Document] = []

    if self.file_metadata is not None:
        metadata = self.file_metadata(str(input_file))

    file_suffix = input_file.suffix.lower()
    if (
        file_suffix in default_file_reader_suffix
        or file_suffix in self.file_extractor
    ):
        # use file readers
        if file_suffix not in self.file_extractor:
            # instantiate file reader if not already
            reader_cls = default_file_reader_cls[file_suffix]
            self.file_extractor[file_suffix] = reader_cls()
        reader = self.file_extractor[file_suffix]

        # load data -- catch all errors except for ImportError
        try:
            kwargs = {"extra_info": metadata}
            if self.fs and not is_default_fs(self.fs):
                kwargs["fs"] = self.fs
            docs = await reader.aload_data(input_file, **kwargs)
        except ImportError as e:
            # ensure that ImportError is raised so user knows
            # about missing dependencies
            raise ImportError(str(e))
        except Exception as e:
            if self.raise_on_error:
                raise
            # otherwise, just skip the file and report the error
            print(
                f"Failed to load file {input_file} with error: {e}. Skipping...",
                flush=True,
            )
            return []

        # iterate over docs if needed
        if self.filename_as_id:
            for i, doc in enumerate(docs):
                doc.id_ = f"{input_file!s}_part_{i}"

        documents.extend(docs)
    else:
        # do standard read
        fs = self.fs or get_default_fs()
        with fs.open(input_file, errors=self.errors, encoding=self.encoding) as f:
            data = f.read().decode(self.encoding, errors=self.errors)

        doc = Document(text=data, metadata=metadata or {})
        if self.filename_as_id:
            doc.id_ = str(input_file)

        documents.append(doc)

    return documents

load_data

load_data(show_progress: bool = False, num_workers: Optional[int] = None, fs: Optional[AbstractFileSystem] = None) -> List[Document]

Load data from the input directory.

Parameters:

Name	Type	Description	Default
show_progress	bool	Whether to show tqdm progress bars. Defaults to False.	False
num_workers	(Optional[int]	Number of workers to parallelize data-loading over.	None
fs	Optional[AbstractFileSystem]	File system to use. If fs was specified in the constructor, it will override the fs parameter here.	None

Returns:

Type	Description
List[Document]	List[Document]: A list of documents.

Source code in llama-index-core/llama_index/core/readers/file/base.py

def load_data(
    self,
    show_progress: bool = False,
    num_workers: Optional[int] = None,
    fs: Optional[fsspec.AbstractFileSystem] = None,
) -> List[Document]:
    """Load data from the input directory.

    Args:
        show_progress (bool): Whether to show tqdm progress bars. Defaults to False.
        num_workers  (Optional[int]): Number of workers to parallelize data-loading over.
        fs (Optional[fsspec.AbstractFileSystem]): File system to use. If fs was specified
            in the constructor, it will override the fs parameter here.

    Returns:
        List[Document]: A list of documents.
    """
    documents = []

    files_to_process = self.input_files
    fs = fs or self.fs

    if num_workers and num_workers > 1:
        if num_workers > multiprocessing.cpu_count():
            warnings.warn(
                "Specified num_workers exceed number of CPUs in the system. "
                "Setting `num_workers` down to the maximum CPU count."
            )
        with multiprocessing.get_context("spawn").Pool(num_workers) as p:
            results = p.starmap(
                SimpleDirectoryReader.load_file,
                zip(
                    files_to_process,
                    repeat(self.file_metadata),
                    repeat(self.file_extractor),
                    repeat(self.filename_as_id),
                    repeat(self.encoding),
                    repeat(self.errors),
                    repeat(self.raise_on_error),
                    repeat(fs),
                ),
            )
            documents = reduce(lambda x, y: x + y, results)

    else:
        if show_progress:
            files_to_process = tqdm(
                self.input_files, desc="Loading files", unit="file"
            )
        for input_file in files_to_process:
            documents.extend(
                SimpleDirectoryReader.load_file(
                    input_file=input_file,
                    file_metadata=self.file_metadata,
                    file_extractor=self.file_extractor,
                    filename_as_id=self.filename_as_id,
                    encoding=self.encoding,
                    errors=self.errors,
                    raise_on_error=self.raise_on_error,
                    fs=fs,
                )
            )

    return self._exclude_metadata(documents)

aload_data async

aload_data(show_progress: bool = False, num_workers: Optional[int] = None, fs: Optional[AbstractFileSystem] = None) -> List[Document]

Load data from the input directory.

Parameters:

Name	Type	Description	Default
show_progress	bool	Whether to show tqdm progress bars. Defaults to False.	False
num_workers	(Optional[int]	Number of workers to parallelize data-loading over.	None
fs	Optional[AbstractFileSystem]	File system to use. If fs was specified in the constructor, it will override the fs parameter here.	None

Returns:

Type	Description
List[Document]	List[Document]: A list of documents.

Source code in llama-index-core/llama_index/core/readers/file/base.py

async def aload_data(
    self,
    show_progress: bool = False,
    num_workers: Optional[int] = None,
    fs: Optional[fsspec.AbstractFileSystem] = None,
) -> List[Document]:
    """Load data from the input directory.

    Args:
        show_progress (bool): Whether to show tqdm progress bars. Defaults to False.
        num_workers  (Optional[int]): Number of workers to parallelize data-loading over.
        fs (Optional[fsspec.AbstractFileSystem]): File system to use. If fs was specified
            in the constructor, it will override the fs parameter here.

    Returns:
        List[Document]: A list of documents.
    """
    files_to_process = self.input_files
    fs = fs or self.fs

    coroutines = [self.aload_file(input_file) for input_file in files_to_process]
    if num_workers:
        document_lists = await run_jobs(
            coroutines, show_progress=show_progress, workers=num_workers
        )
    elif show_progress:
        _asyncio = get_asyncio_module(show_progress=show_progress)
        document_lists = await _asyncio.gather(*coroutines)
    else:
        document_lists = await asyncio.gather(*coroutines)
    documents = [doc for doc_list in document_lists for doc in doc_list]

    return self._exclude_metadata(documents)

iter_data

iter_data(show_progress: bool = False) -> Generator[List[Document], Any, Any]

Load data iteratively from the input directory.

Parameters:

Name	Type	Description	Default
show_progress	bool	Whether to show tqdm progress bars. Defaults to False.	False

Returns:

Type	Description
Generator[List[Document], Any, Any]	Generator[List[Document]]: A list of documents.

Source code in llama-index-core/llama_index/core/readers/file/base.py

def iter_data(
    self, show_progress: bool = False
) -> Generator[List[Document], Any, Any]:
    """Load data iteratively from the input directory.

    Args:
        show_progress (bool): Whether to show tqdm progress bars. Defaults to False.

    Returns:
        Generator[List[Document]]: A list of documents.
    """
    files_to_process = self.input_files

    if show_progress:
        files_to_process = tqdm(self.input_files, desc="Loading files", unit="file")

    for input_file in files_to_process:
        documents = SimpleDirectoryReader.load_file(
            input_file=input_file,
            file_metadata=self.file_metadata,
            file_extractor=self.file_extractor,
            filename_as_id=self.filename_as_id,
            encoding=self.encoding,
            errors=self.errors,
            raise_on_error=self.raise_on_error,
            fs=self.fs,
        )

        documents = self._exclude_metadata(documents)

        if len(documents) > 0:
            yield documents