peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/dataproperty
/typing.py
from datetime import datetime | |
from decimal import Decimal | |
from typing import Any, Callable, Mapping, Optional, Type, Union | |
from typepy import ( | |
Bool, | |
DateTime, | |
Dictionary, | |
Infinity, | |
Integer, | |
IpAddress, | |
List, | |
Nan, | |
NoneType, | |
NullString, | |
RealNumber, | |
String, | |
Typecode, | |
) | |
from typepy.type import AbstractType | |
TypeHint = Optional[Type[AbstractType]] | |
TransFunc = Callable[[Any], Any] | |
DateTimeFormatter = Callable[[datetime], str] | |
FloatType = Union[Type[Decimal], Type[float]] | |
StrictLevelMap = Mapping[Union[str, Typecode], int] | |
TypeValueMap = Mapping[Typecode, Union[float, Decimal, None]] | |
_type_hint_map = { | |
# high frequently used types | |
"int": Integer, | |
"float": RealNumber, | |
"realnumber": RealNumber, | |
"str": String, | |
# low frequently used types | |
"bool": Bool, | |
"datetime": DateTime, | |
"dict": Dictionary, | |
"inf": Infinity, | |
"ip": IpAddress, | |
"list": List, | |
"nan": Nan, | |
"none": NoneType, | |
"nullstr": NullString, | |
} | |
def normalize_type_hint(type_hint: Union[str, TypeHint]) -> TypeHint: | |
if not type_hint: | |
return None | |
if not isinstance(type_hint, str): | |
return type_hint | |
type_hint = type_hint.strip().casefold() | |
for key, value in _type_hint_map.items(): | |
if type_hint.startswith(key): | |
return value | |
raise ValueError(f"unknown typehint: {type_hint}") | |