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import json
from enum import Enum
from typing import TYPE_CHECKING, Any, Callable, Dict, ForwardRef, Optional, Tuple, Type, Union
from typing_extensions import Literal, Protocol
from pydantic.v1.typing import AnyArgTCallable, AnyCallable
from pydantic.v1.utils import GetterDict
from pydantic.v1.version import compiled
if TYPE_CHECKING:
from typing import overload
from pydantic.v1.fields import ModelField
from pydantic.v1.main import BaseModel
ConfigType = Type['BaseConfig']
class SchemaExtraCallable(Protocol):
@overload
def __call__(self, schema: Dict[str, Any]) -> None:
pass
@overload
def __call__(self, schema: Dict[str, Any], model_class: Type[BaseModel]) -> None:
pass
else:
SchemaExtraCallable = Callable[..., None]
__all__ = 'BaseConfig', 'ConfigDict', 'get_config', 'Extra', 'inherit_config', 'prepare_config'
class Extra(str, Enum):
allow = 'allow'
ignore = 'ignore'
forbid = 'forbid'
# https://github.com/cython/cython/issues/4003
# Fixed in Cython 3 and Pydantic v1 won't support Cython 3.
# Pydantic v2 doesn't depend on Cython at all.
if not compiled:
from typing_extensions import TypedDict
class ConfigDict(TypedDict, total=False):
title: Optional[str]
anystr_lower: bool
anystr_strip_whitespace: bool
min_anystr_length: int
max_anystr_length: Optional[int]
validate_all: bool
extra: Extra
allow_mutation: bool
frozen: bool
allow_population_by_field_name: bool
use_enum_values: bool
fields: Dict[str, Union[str, Dict[str, str]]]
validate_assignment: bool
error_msg_templates: Dict[str, str]
arbitrary_types_allowed: bool
orm_mode: bool
getter_dict: Type[GetterDict]
alias_generator: Optional[Callable[[str], str]]
keep_untouched: Tuple[type, ...]
schema_extra: Union[Dict[str, object], 'SchemaExtraCallable']
json_loads: Callable[[str], object]
json_dumps: AnyArgTCallable[str]
json_encoders: Dict[Type[object], AnyCallable]
underscore_attrs_are_private: bool
allow_inf_nan: bool
copy_on_model_validation: Literal['none', 'deep', 'shallow']
# whether dataclass `__post_init__` should be run after validation
post_init_call: Literal['before_validation', 'after_validation']
else:
ConfigDict = dict # type: ignore
class BaseConfig:
title: Optional[str] = None
anystr_lower: bool = False
anystr_upper: bool = False
anystr_strip_whitespace: bool = False
min_anystr_length: int = 0
max_anystr_length: Optional[int] = None
validate_all: bool = False
extra: Extra = Extra.ignore
allow_mutation: bool = True
frozen: bool = False
allow_population_by_field_name: bool = False
use_enum_values: bool = False
fields: Dict[str, Union[str, Dict[str, str]]] = {}
validate_assignment: bool = False
error_msg_templates: Dict[str, str] = {}
arbitrary_types_allowed: bool = False
orm_mode: bool = False
getter_dict: Type[GetterDict] = GetterDict
alias_generator: Optional[Callable[[str], str]] = None
keep_untouched: Tuple[type, ...] = ()
schema_extra: Union[Dict[str, Any], 'SchemaExtraCallable'] = {}
json_loads: Callable[[str], Any] = json.loads
json_dumps: Callable[..., str] = json.dumps
json_encoders: Dict[Union[Type[Any], str, ForwardRef], AnyCallable] = {}
underscore_attrs_are_private: bool = False
allow_inf_nan: bool = True
# whether inherited models as fields should be reconstructed as base model,
# and whether such a copy should be shallow or deep
copy_on_model_validation: Literal['none', 'deep', 'shallow'] = 'shallow'
# whether `Union` should check all allowed types before even trying to coerce
smart_union: bool = False
# whether dataclass `__post_init__` should be run before or after validation
post_init_call: Literal['before_validation', 'after_validation'] = 'before_validation'
@classmethod
def get_field_info(cls, name: str) -> Dict[str, Any]:
"""
Get properties of FieldInfo from the `fields` property of the config class.
"""
fields_value = cls.fields.get(name)
if isinstance(fields_value, str):
field_info: Dict[str, Any] = {'alias': fields_value}
elif isinstance(fields_value, dict):
field_info = fields_value
else:
field_info = {}
if 'alias' in field_info:
field_info.setdefault('alias_priority', 2)
if field_info.get('alias_priority', 0) <= 1 and cls.alias_generator:
alias = cls.alias_generator(name)
if not isinstance(alias, str):
raise TypeError(f'Config.alias_generator must return str, not {alias.__class__}')
field_info.update(alias=alias, alias_priority=1)
return field_info
@classmethod
def prepare_field(cls, field: 'ModelField') -> None:
"""
Optional hook to check or modify fields during model creation.
"""
pass
def get_config(config: Union[ConfigDict, Type[object], None]) -> Type[BaseConfig]:
if config is None:
return BaseConfig
else:
config_dict = (
config
if isinstance(config, dict)
else {k: getattr(config, k) for k in dir(config) if not k.startswith('__')}
)
class Config(BaseConfig):
...
for k, v in config_dict.items():
setattr(Config, k, v)
return Config
def inherit_config(self_config: 'ConfigType', parent_config: 'ConfigType', **namespace: Any) -> 'ConfigType':
if not self_config:
base_classes: Tuple['ConfigType', ...] = (parent_config,)
elif self_config == parent_config:
base_classes = (self_config,)
else:
base_classes = self_config, parent_config
namespace['json_encoders'] = {
**getattr(parent_config, 'json_encoders', {}),
**getattr(self_config, 'json_encoders', {}),
**namespace.get('json_encoders', {}),
}
return type('Config', base_classes, namespace)
def prepare_config(config: Type[BaseConfig], cls_name: str) -> None:
if not isinstance(config.extra, Extra):
try:
config.extra = Extra(config.extra)
except ValueError:
raise ValueError(f'"{cls_name}": {config.extra} is not a valid value for "extra"')
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