AlkantarClanX12
Your IP : 3.133.123.162
import datetime
import warnings
from collections import deque
from decimal import Decimal
from enum import Enum
from ipaddress import IPv4Address, IPv4Interface, IPv4Network, IPv6Address, IPv6Interface, IPv6Network
from pathlib import Path
from re import Pattern
from types import GeneratorType
from typing import TYPE_CHECKING, Any, Callable, Dict, Type, Union
from uuid import UUID
from typing_extensions import deprecated
from ..color import Color
from ..networks import NameEmail
from ..types import SecretBytes, SecretStr
from ..warnings import PydanticDeprecatedSince20
if not TYPE_CHECKING:
# See PyCharm issues https://youtrack.jetbrains.com/issue/PY-21915
# and https://youtrack.jetbrains.com/issue/PY-51428
DeprecationWarning = PydanticDeprecatedSince20
__all__ = 'pydantic_encoder', 'custom_pydantic_encoder', 'timedelta_isoformat'
def isoformat(o: Union[datetime.date, datetime.time]) -> str:
return o.isoformat()
def decimal_encoder(dec_value: Decimal) -> Union[int, float]:
"""Encodes a Decimal as int of there's no exponent, otherwise float.
This is useful when we use ConstrainedDecimal to represent Numeric(x,0)
where a integer (but not int typed) is used. Encoding this as a float
results in failed round-tripping between encode and parse.
Our Id type is a prime example of this.
>>> decimal_encoder(Decimal("1.0"))
1.0
>>> decimal_encoder(Decimal("1"))
1
"""
exponent = dec_value.as_tuple().exponent
if isinstance(exponent, int) and exponent >= 0:
return int(dec_value)
else:
return float(dec_value)
ENCODERS_BY_TYPE: Dict[Type[Any], Callable[[Any], Any]] = {
bytes: lambda o: o.decode(),
Color: str,
datetime.date: isoformat,
datetime.datetime: isoformat,
datetime.time: isoformat,
datetime.timedelta: lambda td: td.total_seconds(),
Decimal: decimal_encoder,
Enum: lambda o: o.value,
frozenset: list,
deque: list,
GeneratorType: list,
IPv4Address: str,
IPv4Interface: str,
IPv4Network: str,
IPv6Address: str,
IPv6Interface: str,
IPv6Network: str,
NameEmail: str,
Path: str,
Pattern: lambda o: o.pattern,
SecretBytes: str,
SecretStr: str,
set: list,
UUID: str,
}
@deprecated(
'pydantic_encoder is deprecated, use pydantic_core.to_jsonable_python instead.', category=PydanticDeprecatedSince20
)
def pydantic_encoder(obj: Any) -> Any:
from dataclasses import asdict, is_dataclass
from ..main import BaseModel
warnings.warn('pydantic_encoder is deprecated, use BaseModel.model_dump instead.', DeprecationWarning, stacklevel=2)
if isinstance(obj, BaseModel):
return obj.model_dump()
elif is_dataclass(obj):
return asdict(obj)
# Check the class type and its superclasses for a matching encoder
for base in obj.__class__.__mro__[:-1]:
try:
encoder = ENCODERS_BY_TYPE[base]
except KeyError:
continue
return encoder(obj)
else: # We have exited the for loop without finding a suitable encoder
raise TypeError(f"Object of type '{obj.__class__.__name__}' is not JSON serializable")
# TODO: Add a suggested migration path once there is a way to use custom encoders
@deprecated('custom_pydantic_encoder is deprecated.', category=PydanticDeprecatedSince20)
def custom_pydantic_encoder(type_encoders: Dict[Any, Callable[[Type[Any]], Any]], obj: Any) -> Any:
# Check the class type and its superclasses for a matching encoder
warnings.warn(
'custom_pydantic_encoder is deprecated, use BaseModel.model_dump instead.', DeprecationWarning, stacklevel=2
)
for base in obj.__class__.__mro__[:-1]:
try:
encoder = type_encoders[base]
except KeyError:
continue
return encoder(obj)
else: # We have exited the for loop without finding a suitable encoder
return pydantic_encoder(obj)
@deprecated('timedelta_isoformat is deprecated.', category=PydanticDeprecatedSince20)
def timedelta_isoformat(td: datetime.timedelta) -> str:
"""ISO 8601 encoding for Python timedelta object."""
warnings.warn('timedelta_isoformat is deprecated.', DeprecationWarning, stacklevel=2)
minutes, seconds = divmod(td.seconds, 60)
hours, minutes = divmod(minutes, 60)
return f'{"-" if td.days < 0 else ""}P{abs(td.days)}DT{hours:d}H{minutes:d}M{seconds:d}.{td.microseconds:06d}S'