113 lines
3.3 KiB
Python
113 lines
3.3 KiB
Python
import datetime
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from collections import deque
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from decimal import Decimal
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from enum import Enum
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from ipaddress import IPv4Address, IPv4Interface, IPv4Network, IPv6Address, IPv6Interface, IPv6Network
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from pathlib import Path
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from re import Pattern
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from types import GeneratorType
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from typing import Any, Callable, Dict, Type, Union
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from uuid import UUID
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from pydantic.v1.color import Color
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from pydantic.v1.networks import NameEmail
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from pydantic.v1.types import SecretBytes, SecretStr
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__all__ = 'pydantic_encoder', 'custom_pydantic_encoder', 'timedelta_isoformat'
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def isoformat(o: Union[datetime.date, datetime.time]) -> str:
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return o.isoformat()
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def decimal_encoder(dec_value: Decimal) -> Union[int, float]:
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"""
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Encodes a Decimal as int of there's no exponent, otherwise float
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This is useful when we use ConstrainedDecimal to represent Numeric(x,0)
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where a integer (but not int typed) is used. Encoding this as a float
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results in failed round-tripping between encode and parse.
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Our Id type is a prime example of this.
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>>> decimal_encoder(Decimal("1.0"))
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1.0
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>>> decimal_encoder(Decimal("1"))
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1
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"""
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if dec_value.as_tuple().exponent >= 0:
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return int(dec_value)
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else:
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return float(dec_value)
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ENCODERS_BY_TYPE: Dict[Type[Any], Callable[[Any], Any]] = {
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bytes: lambda o: o.decode(),
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Color: str,
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datetime.date: isoformat,
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datetime.datetime: isoformat,
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datetime.time: isoformat,
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datetime.timedelta: lambda td: td.total_seconds(),
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Decimal: decimal_encoder,
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Enum: lambda o: o.value,
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frozenset: list,
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deque: list,
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GeneratorType: list,
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IPv4Address: str,
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IPv4Interface: str,
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IPv4Network: str,
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IPv6Address: str,
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IPv6Interface: str,
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IPv6Network: str,
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NameEmail: str,
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Path: str,
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Pattern: lambda o: o.pattern,
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SecretBytes: str,
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SecretStr: str,
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set: list,
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UUID: str,
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}
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def pydantic_encoder(obj: Any) -> Any:
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from dataclasses import asdict, is_dataclass
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from pydantic.v1.main import BaseModel
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if isinstance(obj, BaseModel):
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return obj.dict()
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elif is_dataclass(obj):
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return asdict(obj)
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# Check the class type and its superclasses for a matching encoder
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for base in obj.__class__.__mro__[:-1]:
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try:
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encoder = ENCODERS_BY_TYPE[base]
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except KeyError:
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continue
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return encoder(obj)
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else: # We have exited the for loop without finding a suitable encoder
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raise TypeError(f"Object of type '{obj.__class__.__name__}' is not JSON serializable")
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def custom_pydantic_encoder(type_encoders: Dict[Any, Callable[[Type[Any]], Any]], obj: Any) -> Any:
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# Check the class type and its superclasses for a matching encoder
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for base in obj.__class__.__mro__[:-1]:
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try:
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encoder = type_encoders[base]
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except KeyError:
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continue
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return encoder(obj)
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else: # We have exited the for loop without finding a suitable encoder
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return pydantic_encoder(obj)
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def timedelta_isoformat(td: datetime.timedelta) -> str:
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"""
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ISO 8601 encoding for Python timedelta object.
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"""
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minutes, seconds = divmod(td.seconds, 60)
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hours, minutes = divmod(minutes, 60)
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return f'{"-" if td.days < 0 else ""}P{abs(td.days)}DT{hours:d}H{minutes:d}M{seconds:d}.{td.microseconds:06d}S'
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