def from_dict()

in content_api.py [0:0]

• 8 lines of code
• 1 McCabe index (conditional complexity)

  def from_dict(cls, *, data: dict[str, Any]) -> 'ProcessorPart':
    """Deserializes a ProcessorPart from a JSON-compatible dictionary.

    This method reconstructs a ProcessorPart instance from a dictionary
    that was typically generated by the `to_dict()` method of another
    ProcessorPart instance.

    Args:
      data: A JSON-compatible dictionary containing the serialized data for the
        ProcessorPart.

        It is expected to have the following keys:
          * 'part' (dict): A dictionary representing the underlying
            `google.genai.types.Part` object.
          * 'role' (str): The role of the part (e.g., 'user', 'model').
          * 'substream_name' (str): The substream name.
          * 'mimetype' (str): The MIME type of the part.
          * 'metadata' (dict[str, Any]): Auxiliary metadata.

    Returns:
      A new ProcessorPart instance.

    Raises:
      pydantic.ValidationError: If the `part` field in `data` is not a valid
        dictionary representation of a GenAI part.
      KeyError: If 'part' is missing from `data`.

    Example:
    ```py
    text_part = ProcessorPart("Hello", role="user")
    part_as_dict = text_part.to_dict()
    reconstructed = ProcessorPart.from_dict(data=part_as_dict)
    print(reconstructed)
    ```
    """
    return cls(
        genai_types.Part.model_validate(data['part']),
        role=data.get('role', ''),
        substream_name=data.get('substream_name', ''),
        mimetype=data.get('mimetype'),
        metadata=data.get('metadata'),
    )