time_schema
Returns a schema that matches a time value, e.g.:
from datetime import time
from pydantic_core import SchemaValidator, core_schema
schema = core_schema.time_schema(le=time(12, 0, 0), ge=time(6, 0, 0))
v = SchemaValidator(schema)
assert v.validate_python(time(9, 0, 0)) == time(9, 0, 0)
def time_schema(
strict: bool | None = None,
le: time | None = None,
ge: time | None = None,
lt: time | None = None,
gt: time | None = None,
tz_constraint: Literal['aware', 'naive'] | int | None = None,
microseconds_precision: Literal['truncate', 'error'] = 'truncate',
ref: str | None = None,
metadata: dict[str, Any] | None = None,
serialization: SerSchema | None = None
) - > TimeSchema
Returns a schema that matches a time value.
Parameters
| Name | Type | Description |
|---|---|---|
| strict | `bool | None` = None |
| le | `time | None` = None |
| ge | `time | None` = None |
| lt | `time | None` = None |
| gt | `time | None` = None |
| tz_constraint | `Literal['aware', 'naive'] | int |
| microseconds_precision | Literal['truncate', 'error'] = 'truncate' | The behavior when seconds have more than 6 digits or microseconds is too large |
| ref | `str | None` = None |
| metadata | `dict[str, Any] | None` = None |
| serialization | `SerSchema | None` = None |
Returns
| Type | Description |
|---|---|
TimeSchema | A dictionary-based schema definition for validating and serializing time objects. |