def create_cloned_field(field: ModelField) -> ModelField:
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__ # type: ignore
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = create_model(
original_type.__name__, __config__=original_type.__config__
)
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = f
use_type.__validators__ = original_type.__validators__
if PYDANTIC_1:
new_field = ModelField(
name=field.name,
type_=use_type,
class_validators={},
default=None,
required=False,
model_config=BaseConfig,
field_info=FieldInfo(None),
)
else: # pragma: nocover
new_field = ModelField( # type: ignore
name=field.name,
type_=use_type,
class_validators={},
default=None,
required=False,
model_config=BaseConfig,
schema=FieldInfo(None),
)
new_field.has_alias = field.has_alias
new_field.alias = field.alias
new_field.class_validators = field.class_validators
new_field.default = field.default
new_field.required = field.required
new_field.model_config = field.model_config
if PYDANTIC_1:
new_field.field_info = field.field_info
else: # pragma: nocover
new_field.schema = field.schema # type: ignore
new_field.allow_none = field.allow_none
new_field.validate_always = field.validate_always
if field.sub_fields:
new_field.sub_fields = [
create_cloned_field(sub_field) for sub_field in field.sub_fields
]
if field.key_field:
new_field.key_field = create_cloned_field(field.key_field)
new_field.validators = field.validators
if PYDANTIC_1:
new_field.pre_validators = field.pre_validators
new_field.post_validators = field.post_validators
else: # pragma: nocover
new_field.whole_pre_validators = field.whole_pre_validators # type: ignore
new_field.whole_post_validators = field.whole_post_validators # type: ignore
new_field.parse_json = field.parse_json
new_field.shape = field.shape
try:
new_field.populate_validators()
except AttributeError: # pragma: nocover
# TODO: remove when removing support for Pydantic < 1.0.0
new_field._populate_validators() # type: ignore
return new_field
def get_param_field(
*,
param: inspect.Parameter,
param_name: str,
default_field_info: Type[params.Param] = params.Param,
force_type: params.ParamTypes = None,
ignore_default: bool = False,
) -> ModelField:
default_value = Required
had_schema = False
if not param.default == param.empty and ignore_default is False:
default_value = param.default
if isinstance(default_value, FieldInfo):
had_schema = True
field_info = default_value
default_value = field_info.default
if (isinstance(field_info, params.Param)
and getattr(field_info, "in_", None) is None):
field_info.in_ = default_field_info.in_
if force_type:
field_info.in_ = force_type # type: ignore
else:
field_info = default_field_info(default_value)
required = default_value == Required
annotation: Any = Any
if not param.annotation == param.empty:
annotation = param.annotation
annotation = get_annotation_from_field_info(annotation, field_info,
param_name)
if not field_info.alias and getattr(field_info, "convert_underscores",
None):
alias = param.name.replace("_", "-")
else:
alias = field_info.alias or param.name
if PYDANTIC_1:
field = ModelField(
name=param.name,
type_=annotation,
default=None if required else default_value,
alias=alias,
required=required,
model_config=BaseConfig,
class_validators={},
field_info=field_info,
)
# TODO: remove when removing support for Pydantic < 1.2.0
field.required = required
else: # pragma: nocover
field = ModelField( # type: ignore
name=param.name,
type_=annotation,
default=None if required else default_value,
alias=alias,
required=required,
model_config=BaseConfig,
class_validators={},
schema=field_info,
)
field.required = required
if not had_schema and not is_scalar_field(field=field):
if PYDANTIC_1:
field.field_info = params.Body(field_info.default)
else:
field.schema = params.Body(
field_info.default) # type: ignore # pragma: nocover
return field