# This file was auto-generated by Fern from our API Definition.

import datetime as dt
import typing

from ..core.datetime_utils import serialize_datetime
from .filter_operator import FilterOperator
from .metadata_filter_value import MetadataFilterValue

try:
    import pydantic
    if pydantic.__version__.startswith("1."):
        raise ImportError
    import pydantic.v1 as pydantic  # type: ignore
except ImportError:
    import pydantic  # type: ignore


class MetadataFilter(pydantic.BaseModel):
    """
    Comprehensive metadata filter for vector stores to support more operators.

    Value uses Strict\* types, as int, float and str are compatible types and were all
    converted to string before.

    See: https://docs.pydantic.dev/latest/usage/types/#strict-types
    """

    key: str
    value: typing.Optional[MetadataFilterValue]
    operator: typing.Optional[FilterOperator]

    def json(self, **kwargs: typing.Any) -> str:
        kwargs_with_defaults: typing.Any = {"by_alias": True, "exclude_unset": True, **kwargs}
        return super().json(**kwargs_with_defaults)

    def dict(self, **kwargs: typing.Any) -> typing.Dict[str, typing.Any]:
        kwargs_with_defaults: typing.Any = {"by_alias": True, "exclude_unset": True, **kwargs}
        return super().dict(**kwargs_with_defaults)

    class Config:
        frozen = True
        smart_union = True
        json_encoders = {dt.datetime: serialize_datetime}
