pyrit.models.TextDataTypeSerializer

class TextDataTypeSerializer(*, prompt_text: str, data_type: Literal['text', 'image_path', 'audio_path', 'video_path', 'url', 'reasoning', 'error', 'function_call', 'tool_call', 'function_call_output'] = 'text')

Bases: DataTypeSerializer

__init__(*, prompt_text: str, data_type: Literal['text', 'image_path', 'audio_path', 'video_path', 'url', 'reasoning', 'error', 'function_call', 'tool_call', 'function_call_output'] = 'text')

Methods

__init__(*, prompt_text[, data_type])
data_on_disk()	Returns True if the data is stored on disk.
get_data_filename([file_name])	Generates or retrieves a unique filename for the data file.
get_extension(file_path)	Get the file extension from the file path.
get_mime_type(file_path)	Get the MIME type of the file path.
get_sha256()
read_data()	Reads the data from the storage.
read_data_base64()	Reads the data from the storage.
save_b64_image(data[, output_filename])	Saves the base64 encoded image to storage.
save_data(data[, output_filename])	Saves the data to storage.
save_formatted_audio(data[, num_channels, ...])	Saves the PCM16 of other specially formatted audio data to storage.

Attributes

data_type
value
category
data_sub_directory
file_extension

category: str

data_on_disk() → bool

Returns True if the data is stored on disk.

data_sub_directory: str

data_type: Literal['text', 'image_path', 'audio_path', 'video_path', 'url', 'reasoning', 'error', 'function_call', 'tool_call', 'function_call_output']

file_extension: str

value: str