cluster_error.py

# coding: utf-8

"""
    SKE-API

    The SKE API provides endpoints to create, update, delete clusters within STACKIT portal projects and to trigger further cluster management tasks.

    The version of the OpenAPI document: 1.1
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501 docstring might be too long

from __future__ import annotations

import json
import pprint
from typing import Any, ClassVar, Dict, List, Optional, Set

from pydantic import BaseModel, ConfigDict, StrictStr, field_validator
from typing_extensions import Self


class ClusterError(BaseModel):
    """
    ClusterError
    """

    code: Optional[StrictStr] = None
    message: Optional[StrictStr] = None
    __properties: ClassVar[List[str]] = ["code", "message"]

    @field_validator("code")
    def code_validate_enum(cls, value):
        """Validates the enum"""
        if value is None:
            return value

        if value not in set(
            [
                "SKE_OBSERVABILITY_INSTANCE_NOT_FOUND",
                "SKE_DNS_ZONE_NOT_FOUND",
                "SKE_NODE_MISCONFIGURED_PDB",
                "SKE_NODE_NO_VALID_HOST_FOUND",
                "SKE_NODE_MACHINE_TYPE_NOT_FOUND",
            ]
        ):
            raise ValueError(
                "must be one of enum values ('SKE_OBSERVABILITY_INSTANCE_NOT_FOUND', 'SKE_DNS_ZONE_NOT_FOUND', 'SKE_NODE_MISCONFIGURED_PDB', 'SKE_NODE_NO_VALID_HOST_FOUND', 'SKE_NODE_MACHINE_TYPE_NOT_FOUND')"
            )
        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 ClusterError 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 ClusterError from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({"code": obj.get("code"), "message": obj.get("message")})
        return _obj