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chore: import upstream snapshot with attribution
2026-07-13 13:21:23 +08:00

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Python

# Copyright (c) Microsoft. All rights reserved.
import logging
import os
from pathlib import Path
from typing import Annotated, Any, ClassVar, Literal, TypeVar
from xml.etree.ElementTree import Element # nosec
from numpy import ndarray
from pydantic import Field, FilePath, PrivateAttr, UrlConstraints, computed_field
from pydantic_core import Url
from semantic_kernel.contents.const import BINARY_CONTENT_TAG, ContentTypes
from semantic_kernel.contents.kernel_content import KernelContent
from semantic_kernel.contents.utils.data_uri import DataUri
from semantic_kernel.exceptions.content_exceptions import ContentException, ContentInitializationError
from semantic_kernel.utils.feature_stage_decorator import experimental
logger = logging.getLogger(__name__)
_T = TypeVar("_T", bound="BinaryContent")
DataUrl = Annotated[Url, UrlConstraints(allowed_schemes=["data"])]
@experimental
class BinaryContent(KernelContent):
"""This is a base class for different types of binary content.
This can be created either the bytes data or a data uri, additionally it can have a uri.
The uri is a reference to the source, and might or might not point to the same thing as the data.
Ideally only subclasses of this class are used, like ImageContent.
Methods:
__str__: Returns the string representation of the content.
Raises:
ValidationError: If any arguments are malformed.
"""
content_type: Literal[ContentTypes.BINARY_CONTENT] = Field(default=BINARY_CONTENT_TAG, init=False) # type: ignore
uri: Url | str | None = None
default_mime_type: ClassVar[str] = "text/plain"
tag: ClassVar[str] = BINARY_CONTENT_TAG
_data_uri: DataUri | None = PrivateAttr(default=None)
def __init__(
self,
uri: Url | str | None = None,
data_uri: DataUrl | str | None = None,
data: str | bytes | ndarray | None = None,
data_format: str | None = None,
mime_type: str | None = None,
**kwargs: Any,
):
"""Create a Binary Content object, either from a data_uri or data.
Args:
uri: The reference uri of the content.
data_uri: The data uri of the content.
data: The data of the content.
data_format: The format of the data (e.g. base64).
mime_type: The mime type of the content, not always relevant.
kwargs: Any additional arguments:
inner_content: The inner content of the response,
this should hold all the information from the response so even
when not creating a subclass a developer can leverage the full thing.
ai_model_id: The id of the AI model that generated this response.
metadata: Any metadata that should be attached to the response.
"""
temp_data_uri: DataUri | None = None
if data_uri:
temp_data_uri = DataUri.from_data_uri(data_uri, self.default_mime_type)
kwargs.setdefault("metadata", {})
kwargs["metadata"].update(temp_data_uri.parameters)
elif data is not None:
match data:
case bytes():
temp_data_uri = DataUri(
data_bytes=data, data_format=data_format, mime_type=mime_type or self.default_mime_type
)
case ndarray():
temp_data_uri = DataUri(
data_array=data, data_format=data_format, mime_type=mime_type or self.default_mime_type
)
case str():
temp_data_uri = DataUri(
data_str=data, data_format=data_format, mime_type=mime_type or self.default_mime_type
)
if uri is not None:
if isinstance(uri, str) and os.path.exists(uri):
if os.path.isfile(uri):
uri = str(Path(uri))
else:
raise ContentInitializationError("URI must be a file path, not a directory.")
elif isinstance(uri, str):
uri = Url(uri)
super().__init__(uri=uri, **kwargs)
self._data_uri = temp_data_uri
@computed_field # type: ignore
@property
def data_uri(self) -> str:
"""Get the data uri."""
if self._data_uri:
return self._data_uri.to_string(self.metadata)
return ""
@data_uri.setter
def data_uri(self, value: str):
"""Set the data uri."""
if not self._data_uri:
self._data_uri = DataUri.from_data_uri(value, self.default_mime_type)
else:
self._data_uri.update_data(value)
self.metadata.update(self._data_uri.parameters)
@property
def data_string(self) -> str:
"""Returns the data as a string, using the data format."""
if self._data_uri:
return self._data_uri._data_str()
return ""
@property
def data(self) -> bytes | ndarray:
"""Get the data."""
if self._data_uri and self._data_uri.data_array is not None:
return self._data_uri.data_array.tobytes()
if self._data_uri and self._data_uri.data_bytes:
return self._data_uri.data_bytes
return b""
@data.setter
def data(self, value: str | bytes | ndarray):
"""Set the data."""
if self._data_uri:
self._data_uri.update_data(value)
return
match value:
case ndarray():
self._data_uri = DataUri(data_array=value, mime_type=self.mime_type)
case str():
self._data_uri = DataUri(data_str=value, mime_type=self.mime_type)
case bytes():
self._data_uri = DataUri(data_bytes=value, mime_type=self.mime_type)
case _:
raise ContentException("Data must be a string, bytes, or numpy array.")
@property
def mime_type(self) -> str:
"""Get the mime type."""
if self._data_uri and self._data_uri.mime_type:
return self._data_uri.mime_type
return self.default_mime_type
@mime_type.setter
def mime_type(self, value: str):
"""Set the mime type."""
if self._data_uri:
self._data_uri.mime_type = value
@property
def can_read(self) -> bool:
"""Get whether the content can be read.
Returns True if the content has data available for reading.
"""
return self._data_uri is not None
@classmethod
def from_file(
cls: type[_T],
file_path: str | Path,
mime_type: str | None = None,
) -> _T:
"""Create BinaryContent from a file.
Args:
file_path: Path to the file to read
mime_type: MIME type of the file content
Returns:
BinaryContent instance with file data
Raises:
FileNotFoundError: If the file doesn't exist
ContentInitializationError: If the path is not a file
"""
from semantic_kernel.exceptions.content_exceptions import ContentInitializationError
path = Path(file_path)
if not path.exists():
raise FileNotFoundError(f"File not found: {file_path}")
if not path.is_file():
raise ContentInitializationError(f"Path is not a file: {file_path}")
# Read file as binary data to handle all file types properly
data = path.read_bytes()
return cls(
data=data,
mime_type=mime_type,
uri=str(path),
data_format="base64",
)
def __str__(self) -> str:
"""Return the string representation of the content."""
return self.data_uri if self._data_uri else str(self.uri)
def to_element(self) -> Element:
"""Convert the instance to an Element."""
element = Element(self.tag)
if self._data_uri:
element.text = self.data_uri
if self.uri:
element.set("uri", str(self.uri))
return element
@classmethod
def from_element(cls: type[_T], element: Element) -> _T:
"""Create an instance from an Element."""
if element.tag != cls.tag:
raise ContentInitializationError(f"Element tag is not {cls.tag}") # pragma: no cover
if element.text:
return cls(data_uri=element.text, uri=element.get("uri", None))
return cls(uri=element.get("uri", None))
def write_to_file(self, path: str | FilePath, *, overwrite: bool = False) -> None:
"""Write the data to a file.
Args:
path: The path to write the file to.
overwrite: If True, overwrite existing files. If False, raise an error if file exists.
Defaults to False.
Raises:
FileExistsError: If overwrite is False and the file already exists.
"""
file_path = Path(path)
if not overwrite and file_path.exists():
raise FileExistsError(f"File already exists and overwrite is disabled: {path}")
if self._data_uri and self._data_uri.data_array is not None:
self._data_uri.data_array.tofile(path)
return
with open(path, "wb") as file:
assert isinstance(self.data, bytes) # nosec
file.write(self.data)
def to_dict(self) -> dict[str, Any]:
"""Convert the instance to a dictionary."""
return {"type": "binary", "binary": {"uri": str(self)}}