# coding: utf-8

"""
    CATAPA API

    No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

    The version of the OpenAPI document: 1.0.0
    Contact: support@catapa.com
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501


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

from pydantic import BaseModel, ConfigDict, Field, StrictFloat, StrictInt, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional, Union
from openapi_client.models.anomaly_suspect_attribute_response import AnomalySuspectAttributeResponse
from openapi_client.models.anomaly_suspect_attribute_value_child_response import AnomalySuspectAttributeValueChildResponse
from typing import Optional, Set
from typing_extensions import Self

class AnomalySuspectAttributeValueResponse(BaseModel):
    """
    AnomalySuspectAttributeValueResponse
    """ # noqa: E501
    id: Optional[StrictStr] = Field(default=None, description="Unique identifier for the attribute value")
    attribute_value: Optional[StrictStr] = Field(default=None, description="Value of the attribute", alias="attributeValue")
    score: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, description="Score associated with the attribute value")
    input_source: Optional[StrictStr] = Field(default=None, description="Source of the input data", alias="inputSource")
    anomaly_suspect_attribute: Optional[AnomalySuspectAttributeResponse] = Field(default=None, alias="anomalySuspectAttribute")
    child: Optional[List[AnomalySuspectAttributeValueChildResponse]] = Field(default=None, description="Child attribute values")
    __properties: ClassVar[List[str]] = ["id", "attributeValue", "score", "inputSource", "anomalySuspectAttribute", "child"]

    @field_validator('input_source')
    def input_source_validate_enum(cls, value):
        """Validates the enum"""
        if value is None:
            return value

        if value not in set(['USER', 'OCR']):
            raise ValueError("must be one of enum values ('USER', 'OCR')")
        return value

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


    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 AnomalySuspectAttributeValueResponse 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 anomaly_suspect_attribute
        if self.anomaly_suspect_attribute:
            _dict['anomalySuspectAttribute'] = self.anomaly_suspect_attribute.to_dict()
        # override the default output from pydantic by calling `to_dict()` of each item in child (list)
        _items = []
        if self.child:
            for _item_child in self.child:
                if _item_child:
                    _items.append(_item_child.to_dict())
            _dict['child'] = _items
        return _dict

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

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

        _obj = cls.model_validate({
            "id": obj.get("id"),
            "attributeValue": obj.get("attributeValue"),
            "score": obj.get("score"),
            "inputSource": obj.get("inputSource"),
            "anomalySuspectAttribute": AnomalySuspectAttributeResponse.from_dict(obj["anomalySuspectAttribute"]) if obj.get("anomalySuspectAttribute") is not None else None,
            "child": [AnomalySuspectAttributeValueChildResponse.from_dict(_item) for _item in obj["child"]] if obj.get("child") is not None else None
        })
        return _obj


