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Epoch - unix timestamp #240

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62 changes: 62 additions & 0 deletions pydantic_extra_types/epoch.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,62 @@
from __future__ import annotations

import datetime
from typing import Any, Callable

import pydantic_core.core_schema
from pydantic import GetJsonSchemaHandler
from pydantic.json_schema import JsonSchemaValue
from pydantic_core import CoreSchema, core_schema

EPOCH = datetime.datetime(1970, 1, 1, tzinfo=datetime.timezone.utc)


class _Base(datetime.datetime):
TYPE: str = ''
SCHEMA: pydantic_core.core_schema.CoreSchema

@classmethod
def __get_pydantic_json_schema__(
cls, core_schema: core_schema.CoreSchema, handler: GetJsonSchemaHandler
) -> JsonSchemaValue:
field_schema: dict[str, Any] = {}
field_schema.update(type=cls.TYPE, format='date-time')
return field_schema

@classmethod
def __get_pydantic_core_schema__(
cls, source: type[Any], handler: Callable[[Any], CoreSchema]
) -> core_schema.CoreSchema:
return core_schema.with_info_after_validator_function(
cls._validate,
cls.SCHEMA,
serialization=core_schema.wrap_serializer_function_ser_schema(cls._f, return_schema=cls.SCHEMA),
)

@classmethod
def _validate(cls, __input_value: Any, _: Any) -> datetime.datetime:
return EPOCH + datetime.timedelta(seconds=__input_value)

@classmethod
def _f(cls, value: Any, serializer: Callable[[Any], Any]) -> Any: # pragma: no cover
raise NotImplementedError(cls)


class Number(_Base):
TYPE = 'number'
SCHEMA = core_schema.float_schema()

@classmethod
def _f(cls, value: Any, serializer: Callable[[float], float]) -> float:
ts = value.timestamp()
return serializer(ts)


class Integer(_Base):
TYPE = 'integer'
SCHEMA = core_schema.int_schema()

@classmethod
def _f(cls, value: Any, serializer: Callable[[int], int]) -> int:
ts = value.timestamp()
return serializer(int(ts))
39 changes: 39 additions & 0 deletions tests/test_epoch.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,39 @@
import datetime

import pytest

from pydantic_extra_types import epoch


@pytest.mark.parametrize('type_,cls_', [(int, epoch.Integer), (float, epoch.Number)], ids=['integer', 'number'])
def test_type(type_, cls_):
from pydantic import BaseModel

class A(BaseModel):
epoch: cls_

now = datetime.datetime.now(tz=datetime.timezone.utc)
ts = type_(now.timestamp())
a = A.model_validate({'epoch': ts})
v = a.model_dump()
assert v['epoch'] == ts

b = A.model_construct(epoch=now)

v = b.model_dump()
assert v['epoch'] == ts

c = A.model_validate(dict(epoch=ts))
v = c.model_dump()
assert v['epoch'] == ts


@pytest.mark.parametrize('cls_', [(epoch.Integer), (epoch.Number)], ids=['integer', 'number'])
def test_schema(cls_):
from pydantic import BaseModel

class A(BaseModel):
dt: cls_

v = A.model_json_schema()
assert (dt := v['properties']['dt'])['type'] == cls_.TYPE and dt['format'] == 'date-time'
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