# coding: utf-8

"""
Code generated by OpenAPI Generator (https://openapi-generator.tech), manual changes will be lost - read more on https://github.com/algolia/api-clients-automation. DO NOT EDIT.
"""

from __future__ import annotations

from json import loads
from sys import version_info
from typing import Any, Dict, List, Optional

from pydantic import BaseModel, ConfigDict

if version_info >= (3, 11):
    from typing import Self
else:
    from typing_extensions import Self


from algoliasearch.composition.models.facet_hits import FacetHits

_ALIASES = {
    "index_name": "indexName",
    "facet_hits": "facetHits",
    "exhaustive_facets_count": "exhaustiveFacetsCount",
    "processing_time_ms": "processingTimeMS",
}


def _alias_generator(name: str) -> str:
    return _ALIASES.get(name, name)


class SearchForFacetValuesResults(BaseModel):
    """
    SearchForFacetValuesResults
    """

    index_name: str
    facet_hits: List[FacetHits]
    """ Matching facet values. """
    exhaustive_facets_count: bool
    """ Whether the facet count is exhaustive (true) or approximate (false). For more information, see [Why are my facet and hit counts not accurate](https://support.algolia.com/hc/en-us/articles/4406975248145-Why-are-my-facet-and-hit-counts-not-accurate-).  """
    processing_time_ms: Optional[int] = None
    """ Time the server took to process the request, in milliseconds. """

    model_config = ConfigDict(
        strict=False,
        use_enum_values=True,
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
        alias_generator=_alias_generator,
        extra="allow",
    )

    def to_json(self) -> str:
        return self.model_dump_json(by_alias=True, exclude_unset=True)

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of SearchForFacetValuesResults from a JSON string"""
        return cls.from_dict(loads(json_str))

    def to_dict(self) -> Dict[str, Any]:
        """Return the dictionary representation of the model using alias."""
        return self.model_dump(
            by_alias=True,
            exclude_none=True,
            exclude_unset=True,
        )

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of SearchForFacetValuesResults from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        obj["facetHits"] = (
            [FacetHits.from_dict(_item) for _item in obj["facetHits"]]
            if obj.get("facetHits") is not None
            else None
        )

        return cls.model_validate(obj)
