# coding: utf-8

"""
    STACKIT Kubernetes Engine API

    The SKE API provides endpoints to create, update or delete clusters within STACKIT 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
from typing import Any, ClassVar, Dict, List, Optional, Set

from pydantic import BaseModel, ConfigDict
from typing_extensions import Self

from stackit.ske.models.acl import ACL
from stackit.ske.models.dns import DNS
from stackit.ske.models.observability import Observability


class Extension(BaseModel):
    """
    Extension
    """  # noqa: E501

    acl: Optional[ACL] = None
    dns: Optional[DNS] = None
    observability: Optional[Observability] = None
    __properties: ClassVar[List[str]] = ["acl", "dns", "observability"]

    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 Extension 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,
        )
        # override the default output from pydantic by calling `to_dict()` of acl
        if self.acl:
            _dict["acl"] = self.acl.to_dict()
        # override the default output from pydantic by calling `to_dict()` of dns
        if self.dns:
            _dict["dns"] = self.dns.to_dict()
        # override the default output from pydantic by calling `to_dict()` of observability
        if self.observability:
            _dict["observability"] = self.observability.to_dict()
        return _dict

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

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

        _obj = cls.model_validate(
            {
                "acl": ACL.from_dict(obj["acl"]) if obj.get("acl") is not None else None,
                "dns": DNS.from_dict(obj["dns"]) if obj.get("dns") is not None else None,
                "observability": (
                    Observability.from_dict(obj["observability"]) if obj.get("observability") is not None else None
                ),
            }
        )
        return _obj
