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microsoft--graphrag/packages/graphrag-chunking/graphrag_chunking/transformers.py
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chore: import upstream snapshot with attribution
2026-07-13 12:37:31 +08:00

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Python

# Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A collection of useful built-in transformers you can use for chunking."""
from collections.abc import Callable
from typing import Any
def add_metadata(
metadata: dict[str, Any],
delimiter: str = ": ",
line_delimiter: str = "\n",
append: bool = False,
) -> Callable[[str], str]:
"""Add metadata to the given text, prepending by default. This utility writes the dict as rows of key/value pairs."""
def transformer(text: str) -> str:
metadata_str = (
line_delimiter.join(f"{k}{delimiter}{v}" for k, v in metadata.items())
+ line_delimiter
)
return text + metadata_str if append else metadata_str + text
return transformer