pydantic_factory

class polyfactory.factories.pydantic_factory.PydanticBuildContext

Bases: BuildContext

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 _sphinx_paramlinks_polyfactory.factories.pydantic_factory.PydanticFieldMeta.from_model_field.model_field: A pydantic ModelField. :param _sphinx_paramlinks_polyfactory.factories.pydantic_factory.PydanticFieldMeta.from_model_field.use_alias: Whether to use the field alias. :param _sphinx_paramlinks_polyfactory.factories.pydantic_factory.PydanticFieldMeta.from_model_field.randomize_collection_length: A boolean flag whether to randomize collections lengths :param _sphinx_paramlinks_polyfactory.factories.pydantic_factory.PydanticFieldMeta.from_model_field.min_collection_length: Minimum number of elements in randomized collection :param _sphinx_paramlinks_polyfactory.factories.pydantic_factory.PydanticFieldMeta.from_model_field.max_collection_length: Maximum number of elements in randomized collection :param _sphinx_paramlinks_polyfactory.factories.pydantic_factory.PydanticFieldMeta.from_model_field.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 coverage(factory_use_construct: bool = False, **kwargs: Any) → abc.Iterator[T]

Build a batch of the factory’s Meta.model will full coverage of the sub-types of the model.

Parameters:

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

Returns:

A iterator of instances 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.