pydantic_factory#

class polyfactory.factories.pydantic_factory.PydanticConstraints#

Bases: Constraints

Metadata regarding a Pydantic type constraints, if any

class polyfactory.factories.pydantic_factory.PydanticFieldMeta#

Bases: FieldMeta

Field meta subclass capable of handling pydantic ModelFields

__init__(*, name: str, annotation: type, random: Random | None = None, default: Any = Ellipsis, children: list[FieldMeta] | None = None, constraints: PydanticConstraints | None = None) None#

Create a factory field metadata instance.

classmethod from_field_info(field_name: str, field_info: FieldInfo, use_alias: bool, random: Random | None, randomize_collection_length: bool | None = None, min_collection_length: int | None = None, max_collection_length: int | None = None) PydanticFieldMeta#

Create an instance from a pydantic field info.

Parameters:
  • field_name – The name of the field.

  • field_info – A pydantic FieldInfo instance.

  • use_alias – Whether to use the field alias.

  • random – A random.Random instance.

  • randomize_collection_length – Whether to randomize collection length.

  • min_collection_length – Minimum collection length.

  • max_collection_length – Maximum collection length.

Returns:

A PydanticFieldMeta instance.

classmethod from_model_field(model_field: ModelField, use_alias: bool, randomize_collection_length: bool | None = None, min_collection_length: int | None = None, max_collection_length: int | None = None, random: Random = <random.Random object>) PydanticFieldMeta#

Create an instance from a pydantic model field. :param model_field: A pydantic ModelField. :param use_alias: Whether to use the field alias. :param randomize_collection_length: A boolean flag whether to randomize collections lengths :param min_collection_length: Minimum number of elements in randomized collection :param max_collection_length: Maximum number of elements in randomized collection :param random: An instance of random.Random.

Returns:

A PydanticFieldMeta instance.

classmethod get_constraints_metadata(annotation: Any) Sequence[Any]#

Get the metadatas of the constraints from the given annotation.

Parameters:
  • annotation – A type annotation.

  • random – An instance of random.Random.

Returns:

A list of the metadata in the annotation.

class polyfactory.factories.pydantic_factory.ModelFactory#

Bases: Generic[T], BaseFactory[T]

Base factory for pydantic models

__is_base_factory__: bool = True#

Flag dictating whether the factory is a ‘base’ factory. Base factories are registered globally as handlers for types. For example, the ‘DataclassFactory’, ‘TypedDictFactory’ and ‘ModelFactory’ are all base factories.

classmethod is_supported_type(value: Any) TypeGuard[type[T]]#

Determine whether the given value is supported by the factory.

Parameters:

value – An arbitrary value.

Returns:

A typeguard

classmethod get_model_fields() list[polyfactory.field_meta.FieldMeta]#

Retrieve a list of fields from the factory’s model.

Returns:

A list of field MetaData instances.

classmethod build(factory_use_construct: bool = False, **kwargs: Any) T#

Build an instance of the factory’s __model__

Parameters:
  • factory_use_construct – A boolean that determines whether validations will be made when instantiating the model. This is supported only for pydantic models.

  • kwargs – Any kwargs. If field_meta names are set in kwargs, their values will be used.

Returns:

An instance of type T.

classmethod is_custom_root_field(field_meta: FieldMeta) bool#

Determine whether the field is a custom root field.

Parameters:

field_meta – FieldMeta instance.

Returns:

A boolean determining whether the field is a custom root.

classmethod should_set_field_value(field_meta: FieldMeta, **kwargs: Any) bool#

Determine whether to set a value for a given field_name. This is an override of BaseFactory.should_set_field_value.

Parameters:
  • field_meta – FieldMeta instance.

  • kwargs – Any kwargs passed to the factory.

Returns:

A boolean determining whether a value should be set for the given field_meta.

classmethod get_provider_map() dict[Any, Callable[[], Any]]#

Map types to callables.

Notes:
  • This method is distinct to allow overriding.

Returns:

a dictionary mapping types to callables.