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# 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
import re # noqa: F401
from typing import Any, ClassVar, Dict, List, Optional, Set
from pydantic import BaseModel, ConfigDict, Field, field_validator
from pydantic_core import to_jsonable_python
from typing_extensions import Annotated, Self
from stackit.ske.models.access import Access
from stackit.ske.models.cluster_status import ClusterStatus
from stackit.ske.models.extension import Extension
from stackit.ske.models.hibernation import Hibernation
from stackit.ske.models.kubernetes import Kubernetes
from stackit.ske.models.maintenance import Maintenance
from stackit.ske.models.network import Network
from stackit.ske.models.nodepool import Nodepool
class Cluster(BaseModel):
"""
Cluster
""" # noqa: E501
access: Optional[Access] = None
extensions: Optional[Extension] = None
hibernation: Optional[Hibernation] = None
kubernetes: Kubernetes
maintenance: Optional[Maintenance] = None
name: Optional[Annotated[str, Field(min_length=1, strict=True, max_length=11)]] = Field(
default=None,
description="Use lowercase alphanumeric characters or -, must start and end with an alphanumeric character, and be between 1 and 11 characters long.",
)
network: Optional[Network] = None
nodepools: Annotated[List[Nodepool], Field(min_length=1, max_length=50)]
status: Optional[ClusterStatus] = None
__properties: ClassVar[List[str]] = [
"access",
"extensions",
"hibernation",
"kubernetes",
"maintenance",
"name",
"network",
"nodepools",
"status",
]
@field_validator("name")
def name_validate_regular_expression(cls, value):
"""Validates the regular expression"""
if value is None:
return value
if not isinstance(value, str):
value = str(value)
if not re.match(r"^[a-z0-9]([a-z0-9-]{0,9}[a-z0-9])?$", value):
raise ValueError(r"must validate the regular expression /^[a-z0-9]([a-z0-9-]{0,9}[a-z0-9])?$/")
return value
model_config = ConfigDict(
validate_by_name=True,
validate_by_alias=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"""
return json.dumps(to_jsonable_python(self.to_dict()))
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of Cluster 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.
* OpenAPI `readOnly` fields are excluded.
"""
excluded_fields: Set[str] = set(
[
"name",
]
)
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# override the default output from pydantic by calling `to_dict()` of access
if self.access:
_dict["access"] = self.access.to_dict()
# override the default output from pydantic by calling `to_dict()` of extensions
if self.extensions:
_dict["extensions"] = self.extensions.to_dict()
# override the default output from pydantic by calling `to_dict()` of hibernation
if self.hibernation:
_dict["hibernation"] = self.hibernation.to_dict()
# override the default output from pydantic by calling `to_dict()` of kubernetes
if self.kubernetes:
_dict["kubernetes"] = self.kubernetes.to_dict()
# override the default output from pydantic by calling `to_dict()` of maintenance
if self.maintenance:
_dict["maintenance"] = self.maintenance.to_dict()
# override the default output from pydantic by calling `to_dict()` of network
if self.network:
_dict["network"] = self.network.to_dict()
# override the default output from pydantic by calling `to_dict()` of each item in nodepools (list)
_items = []
if self.nodepools:
for _item_nodepools in self.nodepools:
if _item_nodepools:
_items.append(_item_nodepools.to_dict())
_dict["nodepools"] = _items
# override the default output from pydantic by calling `to_dict()` of status
if self.status:
_dict["status"] = self.status.to_dict()
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of Cluster from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate(
{
"access": Access.from_dict(obj["access"]) if obj.get("access") is not None else None,
"extensions": Extension.from_dict(obj["extensions"]) if obj.get("extensions") is not None else None,
"hibernation": (
Hibernation.from_dict(obj["hibernation"]) if obj.get("hibernation") is not None else None
),
"kubernetes": Kubernetes.from_dict(obj["kubernetes"]) if obj.get("kubernetes") is not None else None,
"maintenance": (
Maintenance.from_dict(obj["maintenance"]) if obj.get("maintenance") is not None else None
),
"name": obj.get("name"),
"network": Network.from_dict(obj["network"]) if obj.get("network") is not None else None,
"nodepools": (
[Nodepool.from_dict(_item) for _item in obj["nodepools"]]
if obj.get("nodepools") is not None
else None
),
"status": ClusterStatus.from_dict(obj["status"]) if obj.get("status") is not None else None,
}
)
return _obj