# 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, StrictFloat, StrictInt
from typing import Any, ClassVar, Dict, List, Optional, Union
from regula.facesdk.webclient.gen.models.face_quality_config_name import FaceQualityConfigName
from regula.facesdk.webclient.gen.models.quality_detail import QualityDetail
from regula.facesdk.webclient.gen.models.quality_details_groups import QualityDetailsGroups
from typing import Optional, Set
from typing_extensions import Self
from pydantic import SkipValidation, Field

class DetectionQuality(BaseModel):
    """
    The portrait quality assessment results, see [Face Image Quality Characteristics](https://docs.regulaforensics.com/develop/face-sdk/web-service/development/usage/face-detection/face-image-quality-check/). If not set in request, no quality check is performed.
    """ # noqa: E501
    non_compliant: SkipValidation[Optional[List[FaceQualityConfigName]]] = Field(alias="nonCompliant", default=None, description="Non-compliant assessment characteristics.")
    details_groups: SkipValidation[Optional[List[QualityDetailsGroups]]] = Field(alias="detailsGroups", default=None, description="Assessment results for each [group of characteristics](https://docs.regulaforensics.com/develop/face-sdk/web-service/development/enums/face-image-quality-groups/).")
    details: SkipValidation[Optional[List[QualityDetail]]] = Field(alias="details", default=None, description="Assessment characteristics that were set in the request.")
    score: SkipValidation[Optional[float]] = Field(alias="score", default=None, description="Returns the estimated portrait quality assessment result, a number from `0` to `1`, where `1` is for absolute compliance.")
    elapsed_time: SkipValidation[Optional[float]] = Field(alias="elapsedTime", default=None, description="Server processing time for quality assessment, ms.")
    __properties: ClassVar[List[str]] = ["nonCompliant", "detailsGroups", "details", "score", "elapsedTime"]

    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 DetectionQuality 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 details_groups (list)
        _items = []
        if self.details_groups:
            for _item_details_groups in self.details_groups:
                if _item_details_groups:
                    _items.append(_item_details_groups.to_dict())
            _dict['detailsGroups'] = _items
        # override the default output from pydantic by calling `to_dict()` of each item in details (list)
        _items = []
        if self.details:
            for _item_details in self.details:
                if _item_details:
                    _items.append(_item_details.to_dict())
            _dict['details'] = _items
        return _dict

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

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

        _obj = cls.model_validate({
            "nonCompliant": obj.get("nonCompliant"),
            "detailsGroups": [QualityDetailsGroups.from_dict(_item) for _item in obj.get("detailsGroups", []) if QualityDetailsGroups.from_dict(_item) is not None],
            "details": [QualityDetail.from_dict(_item) for _item in obj.get("details", []) if QualityDetail.from_dict(_item) is not None],
            "score": obj.get("score"),
            "elapsedTime": obj.get("elapsedTime")
        })
        return _obj


