""" Test pydantic's compliance with mypy. Do a little skipping about with types to demonstrate its usage. """ import json import sys from datetime import date, datetime from typing import Any, Dict, Generic, List, Optional, TypeVar from pydantic import BaseModel, NoneStr, PyObject, StrictBool, root_validator, validate_arguments, validator from pydantic.fields import Field, PrivateAttr from pydantic.generics import GenericModel from pydantic.typing import ForwardRef class Flags(BaseModel): strict_bool: StrictBool = False def __str__(self) -> str: return f'flag={self.strict_bool}' class Model(BaseModel): age: int first_name = 'John' last_name: NoneStr = None signup_ts: Optional[datetime] = None list_of_ints: List[int] @validator('age') def check_age(cls, value: int) -> int: assert value < 100, 'too old' return value @root_validator def root_check(cls, values: Dict[str, Any]) -> Dict[str, Any]: return values @root_validator(pre=True, allow_reuse=False, skip_on_failure=False) def pre_root_check(cls, values: Dict[str, Any]) -> Dict[str, Any]: return values def dog_years(age: int) -> int: return age * 7 def day_of_week(dt: datetime) -> int: return dt.date().isoweekday() m = Model(age=21, list_of_ints=[1, '2', b'3']) assert m.age == 21, m.age m.age = 42 assert m.age == 42, m.age assert m.first_name == 'John', m.first_name assert m.last_name is None, m.last_name assert m.list_of_ints == [1, 2, 3], m.list_of_ints dog_age = dog_years(m.age) assert dog_age == 294, dog_age m = Model(age=2, first_name=b'Woof', last_name=b'Woof', signup_ts='2017-06-07 00:00', list_of_ints=[1, '2', b'3']) assert m.first_name == 'Woof', m.first_name assert m.last_name == 'Woof', m.last_name assert m.signup_ts == datetime(2017, 6, 7), m.signup_ts assert day_of_week(m.signup_ts) == 3 data = {'age': 10, 'first_name': 'Alena', 'last_name': 'Sousova', 'list_of_ints': [410]} m_from_obj = Model.parse_obj(data) assert isinstance(m_from_obj, Model) assert m_from_obj.age == 10 assert m_from_obj.first_name == data['first_name'] assert m_from_obj.last_name == data['last_name'] assert m_from_obj.list_of_ints == data['list_of_ints'] m_from_raw = Model.parse_raw(json.dumps(data)) assert isinstance(m_from_raw, Model) assert m_from_raw.age == m_from_obj.age assert m_from_raw.first_name == m_from_obj.first_name assert m_from_raw.last_name == m_from_obj.last_name assert m_from_raw.list_of_ints == m_from_obj.list_of_ints m_copy = m_from_obj.copy() assert isinstance(m_from_raw, Model) assert m_copy.age == m_from_obj.age assert m_copy.first_name == m_from_obj.first_name assert m_copy.last_name == m_from_obj.last_name assert m_copy.list_of_ints == m_from_obj.list_of_ints if sys.version_info >= (3, 7): T = TypeVar('T') class WrapperModel(GenericModel, Generic[T]): payload: T int_instance = WrapperModel[int](payload=1) int_instance.payload += 1 assert int_instance.payload == 2 str_instance = WrapperModel[str](payload='a') str_instance.payload += 'a' assert str_instance.payload == 'aa' model_instance = WrapperModel[Model](payload=m) model_instance.payload.list_of_ints.append(4) assert model_instance.payload.list_of_ints == [1, 2, 3, 4] class WithField(BaseModel): age: int first_name: str = Field('John', const=True) # simple decorator @validate_arguments def foo(a: int, *, c: str = 'x') -> str: return c * a foo(1, c='thing') foo(1) # nested decorator should not produce an error @validate_arguments(config={'arbitrary_types_allowed': True}) def bar(a: int, *, c: str = 'x') -> str: return c * a bar(1, c='thing') bar(1) class Foo(BaseModel): a: int FooRef = ForwardRef('Foo') class MyConf(BaseModel): str_pyobject: PyObject = Field('datetime.date') callable_pyobject: PyObject = Field(date) conf = MyConf() var1: date = conf.str_pyobject(2020, 12, 20) var2: date = conf.callable_pyobject(2111, 1, 1) class MyPrivateAttr(BaseModel): _private_field: str = PrivateAttr()