# coding: utf-8

"""
    Generated by: https://openapi-generator.tech
"""

from __future__ import annotations
import pprint
import re  # noqa: F401
import json

from pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictFloat, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional, Union
from uuid import UUID
from regula.facesdk.webclient.gen.models.filter_search_request import FilterSearchRequest
from regula.facesdk.webclient.gen.models.image_fields_image import ImageFieldsImage
from regula.facesdk.webclient.gen.models.output_image_params import OutputImageParams
from regula.facesdk.webclient.gen.models.search_parameters_create_person import SearchParametersCreatePerson
from typing import Optional, Set
from typing_extensions import Self
from pydantic import SkipValidation, Field

class SearchRequest(BaseModel):
    """
    SearchRequest
    """ # noqa: E501
    tenant: SkipValidation[Optional[str]] = Field(alias="tenant", default=None, description="A label used to group transactions by customers, applications, or other criteria.")
    env: SkipValidation[Optional[str]] = Field(alias="env", default=None, description="A label used to differentiate transactions by development stages.")
    create_person: SkipValidation[Optional[SearchParametersCreatePerson]] = Field(alias="createPerson", default=None)
    group_ids: SkipValidation[Optional[List[str]]] = Field(alias="groupIds", default=None, description="IDs of the groups in which the search is performed.")
    filter: SkipValidation[Optional[FilterSearchRequest]] = Field(alias="filter", default=None)
    tag: SkipValidation[Optional[str]] = Field(alias="tag", default=None, description="Session identificator, should be unique for each session.")
    image: SkipValidation[Optional[ImageFieldsImage]] = Field(alias="image", default=None)
    output_image_params: SkipValidation[Optional[OutputImageParams]] = Field(alias="outputImageParams", default=None)
    detect_all: SkipValidation[Optional[bool]] = Field(alias="detectAll", default=None, description="Whether to detect all faces in the image. If set to `false`, only the most central face is detected.")
    threshold: SkipValidation[Optional[float]] = Field(alias="threshold", default=None, description="The similarity threshold.")
    limit: SkipValidation[Optional[int]] = Field(alias="limit", default=None, description="The maximum number of results to be returned.")
    __properties: ClassVar[List[str]] = ["tenant", "env", "createPerson", "groupIds", "filter", "tag", "image", "outputImageParams", "detectAll", "threshold", "limit"]

    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
        arbitrary_types_allowed=True,
        use_enum_values=True
    )


    def to_str(self) -> str:
        """Returns the string representation of the model using alias"""
        return pprint.pformat(self.model_dump(by_alias=True))

    def to_json(self) -> str:
        """Returns the JSON representation of the model using alias"""
        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
        return json.dumps(self.to_dict())

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

    def to_dict(self) -> Dict[str, Any]:
        """Return the dictionary representation of the model using alias.

        This has the following differences from calling pydantic's
        `self.model_dump(by_alias=True)`:

        * `None` is only added to the output dict for nullable fields that
          were set at model initialization. Other fields with value `None`
          are ignored.
        """
        excluded_fields: Set[str] = set([
        ])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        # override the default output from pydantic by calling `to_dict()` of create_person
        if self.create_person:
            _dict['createPerson'] = self.create_person.to_dict()
        # override the default output from pydantic by calling `to_dict()` of filter
        if self.filter:
            _dict['filter'] = self.filter.to_dict()
        # override the default output from pydantic by calling `to_dict()` of image
        if self.image:
            _dict['image'] = self.image.to_dict()
        # override the default output from pydantic by calling `to_dict()` of output_image_params
        if self.output_image_params:
            _dict['outputImageParams'] = self.output_image_params.to_dict()
        return _dict

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

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

        _obj = cls.model_validate({
            "tenant": obj.get("tenant"),
            "env": obj.get("env"),
            "createPerson": SearchParametersCreatePerson.from_dict(obj["createPerson"]) if obj.get("createPerson") is not None else None,
            "groupIds": obj.get("groupIds"),
            "filter": FilterSearchRequest.from_dict(obj["filter"]) if obj.get("filter") is not None else None,
            "tag": obj.get("tag"),
            "image": ImageFieldsImage.from_dict(obj["image"]) if obj.get("image") is not None else None,
            "outputImageParams": OutputImageParams.from_dict(obj["outputImageParams"]) if obj.get("outputImageParams") is not None else None,
            "detectAll": obj.get("detectAll") if obj.get("detectAll") is not None else False,
            "threshold": obj.get("threshold"),
            "limit": obj.get("limit")
        })
        return _obj


