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# SPDX-FileCopyrightText: 2022-present deepset GmbH <info@deepset.ai>
#
# SPDX-License-Identifier: Apache-2.0
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from haystack.dataclasses import ByteStream
def get_bytestream_from_source(source: Union[str, Path, ByteStream]) -> ByteStream:
"""
Creates a ByteStream object from a source.
:param source:
A source to convert to a ByteStream. Can be a string (path to a file), a Path object, or a ByteStream.
:return:
A ByteStream object.
"""
if isinstance(source, ByteStream):
return source
if isinstance(source, (str, Path)):
bs = ByteStream.from_file_path(Path(source))
bs.meta["file_path"] = str(source)
return bs
raise ValueError(f"Unsupported source type {type(source)}")
def normalize_metadata(
meta: Optional[Union[Dict[str, Any], List[Dict[str, Any]]]], sources_count: int
) -> List[Dict[str, Any]]:
"""
Normalize the metadata input for a converter.
Given all the possible value of the meta input for a converter (None, dictionary or list of dicts),
makes sure to return a list of dictionaries of the correct length for the converter to use.
:param meta: the meta input of the converter, as-is
:param sources_count: the number of sources the converter received
:returns: a list of dictionaries of the make length as the sources list
"""
if meta is None:
return [{}] * sources_count
if isinstance(meta, dict):
return [meta] * sources_count
if isinstance(meta, list):
if sources_count != len(meta):
raise ValueError("The length of the metadata list must match the number of sources.")
return meta
raise ValueError("meta must be either None, a dictionary or a list of dictionaries.")