# coding: utf-8

"""
    Lightly API

    Lightly.ai enables you to do self-supervised learning in an easy and intuitive way. The lightly.ai OpenAPI spec defines how one can interact with our REST API to unleash the full potential of lightly.ai  # noqa: E501

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

    Do not edit the class manually.
"""


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


from typing import Optional
from pydantic import Extra,  BaseModel, Field, constr, validator
from lightly.openapi_generated.swagger_client.models.tag_change_data import TagChangeData
from lightly.openapi_generated.swagger_client.models.tag_creator import TagCreator

class TagUpdateRequest(BaseModel):
    """
    TagUpdateRequest
    """
    update_creator: Optional[TagCreator] = Field(None, alias="updateCreator")
    name: constr(strict=True, min_length=3) = Field(..., description="The name of the tag")
    bit_mask_data: Optional[constr(strict=True)] = Field(None, alias="bitMaskData", description="BitMask as a base16 (hex) string")
    changes: Optional[TagChangeData] = None
    __properties = ["updateCreator", "name", "bitMaskData", "changes"]

    @validator('name')
    def name_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^[a-zA-Z0-9][a-zA-Z0-9 .:;=@_-]+$", value):
            raise ValueError(r"must validate the regular expression /^[a-zA-Z0-9][a-zA-Z0-9 .:;=@_-]+$/")
        return value

    @validator('bit_mask_data')
    def bit_mask_data_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if value is None:
            return value

        if not re.match(r"^0x[a-f0-9]+$", value):
            raise ValueError(r"must validate the regular expression /^0x[a-f0-9]+$/")
        return value

    class Config:
        """Pydantic configuration"""
        allow_population_by_field_name = True
        validate_assignment = True
        use_enum_values = True
        extra = Extra.forbid

    def to_str(self, by_alias: bool = False) -> str:
        """Returns the string representation of the model"""
        return pprint.pformat(self.dict(by_alias=by_alias))

    def to_json(self, by_alias: bool = False) -> str:
        """Returns the JSON representation of the model"""
        return json.dumps(self.METHOD_NAME(by_alias=by_alias))

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

    def METHOD_NAME(self, by_alias: bool = False):
        """Returns the dictionary representation of the model"""
        _dict = self.dict(by_alias=by_alias,
                          exclude={
                          },
                          exclude_none=True)
        # override the default output from pydantic by calling `to_dict()` of changes
        if self.changes:
            _dict['changes' if by_alias else 'changes'] = self.changes.METHOD_NAME(by_alias=by_alias)
        return _dict

    @classmethod
    def from_dict(cls, obj: dict) -> TagUpdateRequest:
        """Create an instance of TagUpdateRequest from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return TagUpdateRequest.parse_obj(obj)

        # raise errors for additional fields in the input
        for _key in obj.keys():
            if _key not in cls.__properties:
                raise ValueError("Error due to additional fields (not defined in TagUpdateRequest) in the input: " + str(obj))

        _obj = TagUpdateRequest.parse_obj({
            "update_creator": obj.get("updateCreator"),
            "name": obj.get("name"),
            "bit_mask_data": obj.get("bitMaskData"),
            "changes": TagChangeData.from_dict(obj.get("changes")) if obj.get("changes") is not None else None
        })
        return _obj
