sdk.lusid.models.model_options.ModelOptions

class ModelOptions(**data)[source]

Base class for representing model options in LUSID, which provide config for instrument analytics. This base class should not be directly instantiated; each supported ModelOptionsType has a corresponding inherited class. # noqa: E501

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.

Attributes

This is a Pydantic class. For now, click on the green [source] link in the class signature above to see descriptions/allowed values for these attributes.

model_options_type

class Config[source]

Pydantic configuration

classmethod from_dict(obj)[source]

Create an instance of ModelOptions from a dict

Return type:

Union(EmptyModelOptions, EquityModelOptions, FundingLegOptions, FxForwardModelOptions, IndexModelOptions, OpaqueModelOptions)

classmethod from_json(json_str)[source]

Create an instance of ModelOptions from a JSON string

Return type:

Union(EmptyModelOptions, EquityModelOptions, FundingLegOptions, FxForwardModelOptions, IndexModelOptions, OpaqueModelOptions)

classmethod get_discriminator_value(obj)[source]

Returns the discriminator value (object type) of the data

Return type:

str

classmethod model_options_type_validate_enum(value)[source]

Validates the enum

to_dict()[source]

Returns the dictionary representation of the model using alias

to_json()[source]

Returns the JSON representation of the model using alias

Return type:

str

to_str()[source]

Returns the string representation of the model using alias

Return type:

str