64 lines
2.3 KiB
Python
64 lines
2.3 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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from html import unescape
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from typing import 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 TEXT_CONTENT_TAG, ContentTypes
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from semantic_kernel.contents.kernel_content import KernelContent
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from semantic_kernel.exceptions.content_exceptions import ContentInitializationError
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_T = TypeVar("_T", bound="TextContent")
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class TextContent(KernelContent):
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"""This represents text response content.
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Args:
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inner_content: Any - The inner content of the response,
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this should hold all the information from the response so even
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when not creating a subclass a developer can leverage the full thing.
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ai_model_id: str | None - The id of the AI model that generated this response.
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metadata: dict[str, Any] - Any metadata that should be attached to the response.
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text: str | None - The text of the response.
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encoding: str | None - The encoding of the text.
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Methods:
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__str__: Returns the text of the response.
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"""
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content_type: Literal[ContentTypes.TEXT_CONTENT] = Field(TEXT_CONTENT_TAG, init=False) # type: ignore
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tag: ClassVar[str] = TEXT_CONTENT_TAG
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text: str
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encoding: str | None = None
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def __str__(self) -> str:
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"""Return the text of the response."""
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return self.text
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def to_element(self) -> Element:
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"""Convert the instance to an Element."""
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element = Element(self.tag)
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element.text = self.text
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if self.encoding:
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element.set("encoding", self.encoding)
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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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if element.tag != cls.tag:
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raise ContentInitializationError(f"Element tag is not {cls.tag}") # pragma: no cover
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return cls(text=unescape(element.text) if element.text else "", encoding=element.get("encoding", None))
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def to_dict(self) -> dict[str, str]:
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"""Convert the instance to a dictionary."""
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return {"type": "text", "text": self.text}
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def __hash__(self) -> int:
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"""Return the hash of the text content."""
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return hash((self.tag, self.text, self.encoding))
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