chore: import upstream snapshot with attribution
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# Copyright (c) Microsoft. All rights reserved.
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import logging
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from typing import Any, ClassVar, Literal, TypeVar
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from xml.etree.ElementTree import Element # nosec
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from pydantic import Field
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from semantic_kernel.contents.const import FILE_REFERENCE_CONTENT_TAG, ContentTypes
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from semantic_kernel.contents.kernel_content import KernelContent
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from semantic_kernel.utils.feature_stage_decorator import experimental
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logger = logging.getLogger(__name__)
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_T = TypeVar("_T", bound="FileReferenceContent")
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@experimental
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class FileReferenceContent(KernelContent):
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"""File reference content."""
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content_type: Literal[ContentTypes.FILE_REFERENCE_CONTENT] = Field(FILE_REFERENCE_CONTENT_TAG, init=False) # type: ignore
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tag: ClassVar[str] = FILE_REFERENCE_CONTENT_TAG
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file_id: str | None = None
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tools: list[Any] = Field(default_factory=list)
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data_source: Any | None = None
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def __str__(self) -> str:
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"""Return the string representation of the file reference content."""
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return f"FileReferenceContent(file_id={self.file_id})"
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def to_element(self) -> Element:
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"""Convert the file reference content to an Element."""
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element = Element(self.tag)
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if self.file_id:
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element.set("file_id", self.file_id)
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return element
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@classmethod
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def from_element(cls: type[_T], element: Element) -> _T:
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"""Create an instance from an Element."""
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return cls(
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file_id=element.get("file_id"),
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)
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def to_dict(self) -> dict[str, Any]:
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"""Convert the instance to a dictionary."""
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return {
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"file_id": self.file_id,
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}
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