schemas.transform

Module Contents

Classes

TransformSchema	Pydantic model for validating incoming transformation parameters.
TransformResponse	Pydantic model for serializing transformation data in responses.

API

class schemas.transform.TransformSchema(**data: Any)

Bases: pydantic.BaseModel

Pydantic model for validating incoming transformation parameters.

Initialization

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

__init__ uses __pydantic_self__ instead of the more common self for the first arg to allow self as a field name.

transformation_params: Dict[str, Union[str, int]] = 'Field(...)'

class schemas.transform.TransformResponse(**data: Any)

Bases: pydantic.BaseModel

Pydantic model for serializing transformation data in responses.

Initialization

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

__init__ uses __pydantic_self__ instead of the more common self for the first arg to allow self as a field name.

id: int = None

original_picture_id: int = None

url: str = None

qr_url: Optional[str] = None

created_at: datetime.datetime = None

user_id: int = None

class Config

from_attributes = True