kubernetes.py

# coding: utf-8

"""
    STACKIT Kubernetes Engine 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: 2.0
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501

from __future__ import annotations

import json
import pprint
import re  # noqa: F401
from typing import Any, ClassVar, Dict, List, Optional, Set

from pydantic import BaseModel, ConfigDict, Field, field_validator
from typing_extensions import Annotated, Self


class Kubernetes(BaseModel):
    """
    For valid versions please take a look at [provider-options](#tag/ProviderOptions/operation/SkeService_GetProviderOptions) `kubernetesVersions`.
    """  # noqa: E501

    version: Annotated[str, Field(strict=True)]
    __properties: ClassVar[List[str]] = ["version"]

    @field_validator("version")
    def version_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^\d+\.\d+\.\d+$", value):
            raise ValueError(r"must validate the regular expression /^\d+\.\d+\.\d+$/")
        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 Kubernetes 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 Kubernetes from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({"version": obj.get("version")})
        return _obj