Module lunar.data.datasets.models.dataset_models

Classes

class Dataset (**data: Any)

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

Raises ValidationError if the input data cannot be parsed to form a valid model.

Ancestors

• DatasetBase
• pydantic.generics.GenericModel
• pydantic.main.BaseModel
• pydantic.utils.Representation
• typing.Generic

Class variables

var id : str

class DatasetBase (**data: Any)

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

Raises ValidationError if the input data cannot be parsed to form a valid model.

Ancestors

• pydantic.generics.GenericModel
• pydantic.main.BaseModel
• pydantic.utils.Representation
• typing.Generic

Subclasses

• Dataset
• DatasetPatchIn
• DatasetPutIn

Class variables

var Config

var data_type : str

var params : ~T

Static methods

def check_data_types(data_type)

class DatasetPatchIn (**data: Any)

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

Raises ValidationError if the input data cannot be parsed to form a valid model.

Ancestors

• DatasetBase
• pydantic.generics.GenericModel
• pydantic.main.BaseModel
• pydantic.utils.Representation
• typing.Generic

Class variables

var data_type : str

var params : ~T

class DatasetPutIn (**data: Any)

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

Raises ValidationError if the input data cannot be parsed to form a valid model.

Ancestors

• DatasetBase
• pydantic.generics.GenericModel
• pydantic.main.BaseModel
• pydantic.utils.Representation
• typing.Generic

Class variables

var data_type : str

var params : ~T