# coding: utf-8

"""
    Trinsic API

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

    The version of the OpenAPI document: v1
    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, StrictBytes, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional, Union
from typing_extensions import Annotated
from typing import Optional, Set
from typing_extensions import Self

class BrazilDigitalCnhInput(BaseModel):
    """
    BrazilDigitalCnhInput
    """ # noqa: E501
    cpf_number: Annotated[str, Field(min_length=11, strict=True, max_length=11)] = Field(description="The user's 11-digit, numeric CPF Number", alias="cpfNumber")
    digital_cnh_file: Optional[Union[StrictBytes, StrictStr]] = Field(default=None, description="The raw bytes of the digital CNH file collected from the user.", alias="digitalCnhFile")
    digital_cnh_file_content_type: Optional[StrictStr] = Field(default=None, description="The MIME Type of the file contained in `DigitalCnhFile`.              Must be one of `application/pdf`, `image/jpeg`, or `image/png`.", alias="digitalCnhFileContentType")
    facial_biometry_photo: Optional[Union[StrictBytes, StrictStr]] = Field(default=None, description="The raw bytes of the image of the user's face, collected for biometric comparison.", alias="facialBiometryPhoto")
    __properties: ClassVar[List[str]] = ["cpfNumber", "digitalCnhFile", "digitalCnhFileContentType", "facialBiometryPhoto"]

    @field_validator('cpf_number')
    def cpf_number_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^\d*$", value):
            raise ValueError(r"must validate the regular expression /^\d*$/")
        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 BrazilDigitalCnhInput 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,
        )
        # set to None if digital_cnh_file (nullable) is None
        # and model_fields_set contains the field
        if self.digital_cnh_file is None and "digital_cnh_file" in self.model_fields_set:
            _dict['digitalCnhFile'] = None

        # set to None if digital_cnh_file_content_type (nullable) is None
        # and model_fields_set contains the field
        if self.digital_cnh_file_content_type is None and "digital_cnh_file_content_type" in self.model_fields_set:
            _dict['digitalCnhFileContentType'] = None

        # set to None if facial_biometry_photo (nullable) is None
        # and model_fields_set contains the field
        if self.facial_biometry_photo is None and "facial_biometry_photo" in self.model_fields_set:
            _dict['facialBiometryPhoto'] = None

        return _dict

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

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

        _obj = cls.model_validate({
            "cpfNumber": obj.get("cpfNumber"),
            "digitalCnhFile": obj.get("digitalCnhFile"),
            "digitalCnhFileContentType": obj.get("digitalCnhFileContentType"),
            "facialBiometryPhoto": obj.get("facialBiometryPhoto")
        })
        return _obj


