# coding: utf-8

"""
    Instant Tests API

    The Instant Tests API operations lets you create and run new instant tests. You will need to be an Account Admin.  The response does not include the immediate test results. Use the Test Results endpoints to get test results after creating and executing an instant test. You can find the URLs for these endpoints in the _links section of the test definition that is returned when you create the instant test. 

    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, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class Error(BaseModel):
    """
    Error
    """ # noqa: E501
    type: Optional[StrictStr] = Field(default=None, description="A URI reference that identifies the problem type. When this member is not present, its value is assumed to be \"about:blank\".")
    title: Optional[StrictStr] = Field(default=None, description="A short, human-readable summary of the problem type.")
    status: Optional[StrictInt] = Field(default=None, description="The HTTP status code generated by the origin server for this occurrence of the problem.")
    detail: Optional[StrictStr] = Field(default=None, description="A human-readable explanation specific to this occurrence of the problem.")
    instance: Optional[StrictStr] = Field(default=None, description="A URI reference that identifies the specific occurrence of the problem.")
    __properties: ClassVar[List[str]] = ["type", "title", "status", "detail", "instance"]

    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
        extra="allow",
    )


    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 self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of Error 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,
        )
        return _dict

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

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

        _obj = cls.model_validate({
            "type": obj.get("type"),
            "title": obj.get("title"),
            "status": obj.get("status"),
            "detail": obj.get("detail"),
            "instance": obj.get("instance")
        })
        return _obj