# 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, StrictInt
from typing import Any, ClassVar, Dict, List, Optional
from regula.facesdk.webclient.gen.models.face_sdk_result_code import FaceSDKResultCode
from regula.facesdk.webclient.gen.models.faces_response import FacesResponse
from typing import Optional, Set
from typing_extensions import Self
from pydantic import SkipValidation, Field

class MatchAndSearchResponseDataDetectionsItem(BaseModel):
    """
    MatchAndSearchResponseDataDetectionsItem
    """ # noqa: E501
    faces: SkipValidation[Optional[List[FacesResponse]]] = Field(alias="faces", default=None, description="Detected faces.")
    image_index: SkipValidation[Optional[int]] = Field(alias="imageIndex", default=None, description="The image index number. Can be given; if not given, the index numbers are set automatically starting from `0`. All index numbers must be whole and unique—not repeated.")
    status: SkipValidation[Optional[FaceSDKResultCode]] = Field(alias="status", default=None)
    __properties: ClassVar[List[str]] = ["faces", "imageIndex", "status"]

    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 MatchAndSearchResponseDataDetectionsItem 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 each item in faces (list)
        _items = []
        if self.faces:
            for _item_faces in self.faces:
                if _item_faces:
                    _items.append(_item_faces.to_dict())
            _dict['faces'] = _items
        return _dict

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

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

        _obj = cls.model_validate({
            "faces": [FacesResponse.from_dict(_item) for _item in obj.get("faces", []) if FacesResponse.from_dict(_item) is not None],
            "imageIndex": obj.get("imageIndex"),
            "status": obj.get("status")
        })
        return _obj


