Persistence
ModelFactory
has four persistence methods:
.create_sync(**kwargs)
- builds and persists a single instance of the factory's model synchronously.create_batch_sync(size: int, **kwargs)
- builds and persists a list of size n instances synchronously.create_async(**kwargs)
- builds and persists a single instance of the factory's model asynchronously.create_batch_async(size: int, **kwargs)
- builds and persists a list of size n instances asynchronously
To use these methods, you must first specify a sync and/or async persistence handlers for the factory:
from pydantic_factories import ModelFactory
from typing import TypeVar, List
from pydantic import BaseModel
from pydantic_factories import SyncPersistenceProtocol, AsyncPersistenceProtocol
T = TypeVar("T", bound=BaseModel)
class SyncPersistenceHandler(SyncPersistenceProtocol[T]):
def save(self, data: T) -> T:
... # do stuff
def save_many(self, data: List[T]) -> List[T]:
... # do stuff
class AsyncPersistenceHandler(AsyncPersistenceProtocol[T]):
async def save(self, data: T) -> T:
... # do stuff
async def save_many(self, data: List[T]) -> List[T]:
... # do stuff
class PersonFactory(ModelFactory):
__sync_persistence__ = SyncPersistenceHandler
__async_persistence__ = AsyncPersistenceHandler
...
Or create your own base factory and reuse it in your various factories:
from pydantic_factories import ModelFactory
from typing import TypeVar, List
from pydantic import BaseModel
from pydantic_factories import SyncPersistenceProtocol, AsyncPersistenceProtocol
T = TypeVar("T", bound=BaseModel)
class SyncPersistenceHandler(SyncPersistenceProtocol[T]):
def save(self, data: T) -> T:
... # do stuff
def save_many(self, data: List[T]) -> List[T]:
... # do stuff
class AsyncPersistenceHandler(AsyncPersistenceProtocol[T]):
async def save(self, data: T) -> T:
... # do stuff
async def save_many(self, data: List[T]) -> List[T]:
... # do stuff
class BaseModelFactory(ModelFactory):
__sync_persistence__ = SyncPersistenceHandler
__async_persistence__ = AsyncPersistenceHandler
class PersonFactory(BaseModelFactory):
...
With the persistence handlers in place, you can now use all persistence methods. Please note - you do not need to define any or both persistence handlers. If you will only use sync or async persistence, you only need to define the respective handler to use these methods.
Create Factory Method
If you prefer to create a factory imperatively, you can do so using the ModelFactory.create_factory
method. This method receives the following arguments:
- model - the model for the factory.
- base - an optional base factory class. Defaults to the factory class on which the method is called.
- kwargs - a dictionary of arguments correlating to the class vars accepted by ModelFactory, e.g. faker.
You could also override the child factory's __model__
attribute to specify the model to use and the default kwargs as shown as the BuildPet class as shown below:
from datetime import date, datetime
from enum import Enum
from pydantic import BaseModel, UUID4
from typing import Any, Dict, List, TypeVar, Union, Generic, Optional
from pydantic_factories import ModelFactory
class Species(str, Enum):
CAT = "Cat"
DOG = "Dog"
class PetBase(BaseModel):
name: str
species: Species
class Pet(PetBase):
id: UUID4
class PetCreate(PetBase):
pass
class PetUpdate(PetBase):
pass
class PersonBase(BaseModel):
name: str
hobbies: List[str]
age: Union[float, int]
birthday: Union[datetime, date]
pets: List[Pet]
assets: List[Dict[str, Dict[str, Any]]]
class PersonCreate(PersonBase):
pass
class Person(PersonBase):
id: UUID4
class PersonUpdate(PersonBase):
pass
def test_factory():
class PersonFactory(ModelFactory):
__model__ = Person
person = PersonFactory.build()
assert person.pets != []
ModelType = TypeVar("ModelType", bound=BaseModel)
CreateSchemaType = TypeVar("CreateSchemaType", bound=BaseModel)
UpdateSchemaType = TypeVar("UpdateSchemaType", bound=BaseModel)
class BUILDBase(Generic[ModelType, CreateSchemaType, UpdateSchemaType]):
def __init__(
self,
model: ModelType = None,
create_schema: Optional[CreateSchemaType] = None,
update_schema: Optional[UpdateSchemaType] = None,
):
self.model = model
self.create_model = create_schema
self.update_model = update_schema
def build_object(self) -> ModelType:
object_Factory = ModelFactory.create_factory(self.model)
return object_Factory.build()
def build_create_object(self) -> CreateSchemaType:
object_Factory = ModelFactory.create_factory(self.create_model)
return object_Factory.build()
def build_update_object(self) -> UpdateSchemaType:
object_Factory = ModelFactory.create_factory(self.update_model)
return object_Factory.build()
class BUILDPet(BUILDBase[Pet, PetCreate, PetUpdate]):
def build_object(self) -> Pet:
object_Factory = ModelFactory.create_factory(self.model, name="Fido")
return object_Factory.build()
def build_create_object(self) -> PetCreate:
object_Factory = ModelFactory.create_factory(self.create_model, name="Rover")
return object_Factory.build()
def build_update_object(self) -> PetUpdate:
object_Factory = ModelFactory.create_factory(self.update_model, name="Spot")
return object_Factory.build()
def test_factory_create():
person_factory = BUILDBase(Person, PersonCreate, PersonUpdate)
pet_factory = BUILDPet(Pet, PetCreate, PetUpdate)
create_person = person_factory.build_create_object()
update_person = person_factory.build_update_object()
pet = pet_factory.build_object()
create_pet = pet_factory.build_create_object()
update_pet = pet_factory.build_update_object()
assert create_person is not None
assert update_person is not None
assert pet.name == "Fido"
assert create_pet.name == "Rover"
assert update_pet.name == "Spot"