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✨ add new type: Epoch Unix Timestamp (#240)
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from __future__ import annotations | ||
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import datetime | ||
from typing import Any, Callable | ||
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import pydantic_core.core_schema | ||
from pydantic import GetJsonSchemaHandler | ||
from pydantic.json_schema import JsonSchemaValue | ||
from pydantic_core import CoreSchema, core_schema | ||
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EPOCH = datetime.datetime(1970, 1, 1, tzinfo=datetime.timezone.utc) | ||
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class _Base(datetime.datetime): | ||
TYPE: str = '' | ||
SCHEMA: pydantic_core.core_schema.CoreSchema | ||
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@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 | ||
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@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), | ||
) | ||
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@classmethod | ||
def _validate(cls, __input_value: Any, _: Any) -> datetime.datetime: | ||
return EPOCH + datetime.timedelta(seconds=__input_value) | ||
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@classmethod | ||
def _f(cls, value: Any, serializer: Callable[[Any], Any]) -> Any: # pragma: no cover | ||
raise NotImplementedError(cls) | ||
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class Number(_Base): | ||
"""epoch.Number parses unix timestamp as float and converts it to datetime. | ||
```py | ||
from pydantic import BaseModel | ||
from pydantic_extra_types import epoch | ||
class LogEntry(BaseModel): | ||
timestamp: epoch.Number | ||
logentry = LogEntry(timestamp=1.1) | ||
print(logentry) | ||
#> timestamp=datetime.datetime(1970, 1, 1, 0, 0, 1, 100000, tzinfo=datetime.timezone.utc) | ||
``` | ||
""" | ||
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TYPE = 'number' | ||
SCHEMA = core_schema.float_schema() | ||
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@classmethod | ||
def _f(cls, value: Any, serializer: Callable[[float], float]) -> float: | ||
ts = value.timestamp() | ||
return serializer(ts) | ||
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class Integer(_Base): | ||
"""epoch.Integer parses unix timestamp as integer and converts it to datetime. | ||
``` | ||
```py | ||
from pydantic import BaseModel | ||
from pydantic_extra_types import epoch | ||
class LogEntry(BaseModel): | ||
timestamp: epoch.Integer | ||
logentry = LogEntry(timestamp=1) | ||
print(logentry) | ||
#> timestamp=datetime.datetime(1970, 1, 1, 0, 0, 1, tzinfo=datetime.timezone.utc) | ||
``` | ||
""" | ||
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TYPE = 'integer' | ||
SCHEMA = core_schema.int_schema() | ||
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@classmethod | ||
def _f(cls, value: Any, serializer: Callable[[int], int]) -> int: | ||
ts = value.timestamp() | ||
return serializer(int(ts)) |
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import datetime | ||
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import pytest | ||
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from pydantic_extra_types import epoch | ||
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@pytest.mark.parametrize('type_,cls_', [(int, epoch.Integer), (float, epoch.Number)], ids=['integer', 'number']) | ||
def test_type(type_, cls_): | ||
from pydantic import BaseModel | ||
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class A(BaseModel): | ||
epoch: cls_ | ||
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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 | ||
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b = A.model_construct(epoch=now) | ||
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v = b.model_dump() | ||
assert v['epoch'] == ts | ||
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c = A.model_validate(dict(epoch=ts)) | ||
v = c.model_dump() | ||
assert v['epoch'] == ts | ||
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@pytest.mark.parametrize('cls_', [(epoch.Integer), (epoch.Number)], ids=['integer', 'number']) | ||
def test_schema(cls_): | ||
from pydantic import BaseModel | ||
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class A(BaseModel): | ||
dt: cls_ | ||
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v = A.model_json_schema() | ||
assert (dt := v['properties']['dt'])['type'] == cls_.TYPE and dt['format'] == 'date-time' |
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