Generator: Update SDK /services/ske

services/ske/oas_commit

@@ -1 +1 @@
-ea0931a6f93703c990517136e0d4c7a88455b282
+61666e6da6a7eaa8ac113f9bf8748266058f493d

services/ske/src/stackit/ske/__init__.py

@@ -30,8 +30,10 @@
     "ACL",
     "Access",
     "AccessScope",
+    "ApplicationLoadBalancer",
     "Audit",
     "AvailabilityZone",
+    "CNI",
     "CRI",
     "Cluster",
     "ClusterError",
@@ -51,6 +53,7 @@
     "IDP",
     "IDPKubeconfig",
     "Image",
+    "Kata",
     "Kubeconfig",
     "Kubernetes",
     "KubernetesVersion",
@@ -93,6 +96,9 @@
 
 # import models into sdk package
 from stackit.ske.models.acl import ACL as ACL
+from stackit.ske.models.application_load_balancer import (
+    ApplicationLoadBalancer as ApplicationLoadBalancer,
+)
 from stackit.ske.models.audit import Audit as Audit
 from stackit.ske.models.availability_zone import AvailabilityZone as AvailabilityZone
 from stackit.ske.models.cluster import Cluster as Cluster
@@ -101,6 +107,7 @@
 from stackit.ske.models.cluster_status_state import (
     ClusterStatusState as ClusterStatusState,
 )
+from stackit.ske.models.cni import CNI as CNI
 from stackit.ske.models.create_kubeconfig_payload import (
     CreateKubeconfigPayload as CreateKubeconfigPayload,
 )
@@ -130,6 +137,7 @@
 from stackit.ske.models.idp import IDP as IDP
 from stackit.ske.models.idp_kubeconfig import IDPKubeconfig as IDPKubeconfig
 from stackit.ske.models.image import Image as Image
+from stackit.ske.models.kata import Kata as Kata
 from stackit.ske.models.kubeconfig import Kubeconfig as Kubeconfig
 from stackit.ske.models.kubernetes import Kubernetes as Kubernetes
 from stackit.ske.models.kubernetes_version import KubernetesVersion as KubernetesVersion

services/ske/src/stackit/ske/api/default_api.py

@@ -610,9 +610,10 @@ def create_or_update_cluster(
         project_id: StrictStr,
         region: StrictStr,
         cluster_name: Annotated[
-            StrictStr,
+            str,
             Field(
-                description="Use lowercase alphanumeric characters or -, must start and end with an alphanumeric character, and be between 1 and 11 characters long."
+                strict=True,
+                description="Use lowercase alphanumeric characters or -, must start and end with an alphanumeric character, and be between 1 and 11 characters long.",
             ),
         ],
         create_or_update_cluster_payload: CreateOrUpdateClusterPayload,
@@ -690,9 +691,10 @@ def create_or_update_cluster_with_http_info(
         project_id: StrictStr,
         region: StrictStr,
         cluster_name: Annotated[
-            StrictStr,
+            str,
             Field(
-                description="Use lowercase alphanumeric characters or -, must start and end with an alphanumeric character, and be between 1 and 11 characters long."
+                strict=True,
+                description="Use lowercase alphanumeric characters or -, must start and end with an alphanumeric character, and be between 1 and 11 characters long.",
             ),
         ],
         create_or_update_cluster_payload: CreateOrUpdateClusterPayload,
@@ -770,9 +772,10 @@ def create_or_update_cluster_without_preload_content(
         project_id: StrictStr,
         region: StrictStr,
         cluster_name: Annotated[
-            StrictStr,
+            str,
             Field(
-                description="Use lowercase alphanumeric characters or -, must start and end with an alphanumeric character, and be between 1 and 11 characters long."
+                strict=True,
+                description="Use lowercase alphanumeric characters or -, must start and end with an alphanumeric character, and be between 1 and 11 characters long.",
             ),
         ],
         create_or_update_cluster_payload: CreateOrUpdateClusterPayload,

services/ske/src/stackit/ske/models/__init__.py

@@ -17,12 +17,14 @@
 
 # import models into model package
 from stackit.ske.models.acl import ACL
+from stackit.ske.models.application_load_balancer import ApplicationLoadBalancer
 from stackit.ske.models.audit import Audit
 from stackit.ske.models.availability_zone import AvailabilityZone
 from stackit.ske.models.cluster import Cluster
 from stackit.ske.models.cluster_error import ClusterError
 from stackit.ske.models.cluster_status import ClusterStatus
 from stackit.ske.models.cluster_status_state import ClusterStatusState
+from stackit.ske.models.cni import CNI
 from stackit.ske.models.create_kubeconfig_payload import CreateKubeconfigPayload
 from stackit.ske.models.create_or_update_cluster_payload import (
     CreateOrUpdateClusterPayload,
@@ -42,6 +44,7 @@
 from stackit.ske.models.idp import IDP
 from stackit.ske.models.idp_kubeconfig import IDPKubeconfig
 from stackit.ske.models.image import Image
+from stackit.ske.models.kata import Kata
 from stackit.ske.models.kubeconfig import Kubeconfig
 from stackit.ske.models.kubernetes import Kubernetes
 from stackit.ske.models.kubernetes_version import KubernetesVersion

services/ske/src/stackit/ske/models/access_scope.py

@@ -21,7 +21,7 @@
 
 class AccessScope(str, Enum):
     """
-    The access scope of the Control Plane. It defines if the Kubernetes control plane is public or only available inside a STACKIT Network Area. This field is immutable. ⚠️ Note: This feature is in private preview. Supplying this object is only permitted for enabled accounts. If your account does not have access, the request will be rejected.
+    The access scope of the Control Plane. It defines if the Kubernetes control plane is public or only available inside a STACKIT Network Area. ⚠️ Warning: Changing the access scope on an existing cluster directly impacts its network exposure (e.g., making a private cluster publicly accessible) ⚠️ Note: This feature is in private preview. Supplying this object is only permitted for enabled accounts. If your account does not have access, the request will be rejected.
     """
 
     """

services/ske/src/stackit/ske/models/acl.py

@@ -25,15 +25,15 @@
     StrictStr,
 )
 from pydantic_core import to_jsonable_python
-from typing_extensions import Annotated, Self
+from typing_extensions import Self
 
 
 class ACL(BaseModel):
     """
     ACL
     """  # noqa: E501
 
-    allowed_cidrs: Annotated[List[StrictStr], Field(max_length=10)] = Field(
+    allowed_cidrs: List[StrictStr] = Field(
         description="Array of CIDRs to allow access to the kubernetes API.", alias="allowedCidrs"
     )
     enabled: StrictBool = Field(description="Enables the acl extension.")

services/ske/src/stackit/ske/models/application_load_balancer.py

@@ -0,0 +1,84 @@
+# 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, Field, StrictBool
+from pydantic_core import to_jsonable_python
+from typing_extensions import Self
+
+
+class ApplicationLoadBalancer(BaseModel):
+    """
+    ApplicationLoadBalancer
+    """  # noqa: E501
+
+    enabled: StrictBool = Field(
+        description="Enables the application load balancer extension. ⚠️ Note: This feature is in private preview. Enabling application load balancer extension is only possible for enabled accounts. Otherwise the request will be rejected."
+    )
+    __properties: ClassVar[List[str]] = ["enabled"]
+
+    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 ApplicationLoadBalancer 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 ApplicationLoadBalancer from a dict"""
+        if obj is None:
+            return None
+
+        if not isinstance(obj, dict):
+            return cls.model_validate(obj)
+
+        _obj = cls.model_validate({"enabled": obj.get("enabled")})
+        return _obj

services/ske/src/stackit/ske/models/cluster.py

@@ -18,7 +18,7 @@
 import re  # noqa: F401
 from typing import Any, ClassVar, Dict, List, Optional, Set
 
-from pydantic import BaseModel, ConfigDict, Field, field_validator
+from pydantic import BaseModel, ConfigDict, Field, StrictStr, field_validator
 from pydantic_core import to_jsonable_python
 from typing_extensions import Annotated, Self
 
@@ -43,6 +43,10 @@ class Cluster(BaseModel):
     extensions: Optional[Extension] = None
     hibernation: Optional[Hibernation] = None
     kubernetes: Kubernetes
+    labels: Optional[Dict[str, StrictStr]] = Field(
+        default=None,
+        description="Labels are key-value pairs. Keys may contain domain prefix separated by a slash(/) and must begin with an alphanumerical character. Values may be empty and if not empty, they must begin and end with an alphanumerical character. Keys can be between 1-314 characters long, whereas values can be 0-63 characters long.",
+    )
     maintenance: Optional[Maintenance] = None
     name: Optional[Annotated[str, Field(min_length=1, strict=True, max_length=11)]] = Field(
         default=None,
@@ -57,6 +61,7 @@ class Cluster(BaseModel):
         "extensions",
         "hibernation",
         "kubernetes",
+        "labels",
         "maintenance",
         "name",
         "network",
@@ -170,6 +175,7 @@ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
                     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,
+                "labels": obj.get("labels"),
                 "maintenance": (
                     Maintenance.from_dict(obj["maintenance"]) if obj.get("maintenance") is not None else None
                 ),

services/ske/src/stackit/ske/models/cluster_status.py

@@ -57,12 +57,22 @@ class ClusterStatus(BaseModel):
     expiration: Optional[ExpirationStatus] = None
     hibernated: Optional[StrictBool] = None
     identity: Optional[StrictStr] = None
+    node_address_ranges: Optional[List[StrictStr]] = Field(
+        default=None,
+        description="The network ranges (in CIDR notation) used by nodes of the cluster.",
+        alias="nodeAddressRanges",
+    )
     pod_address_ranges: Optional[List[StrictStr]] = Field(
         default=None,
         description="The network ranges (in CIDR notation) used by pods of the cluster.",
         alias="podAddressRanges",
     )
     service_account_issuer: Optional[StrictStr] = Field(default=None, alias="serviceAccountIssuer")
+    service_address_ranges: Optional[List[StrictStr]] = Field(
+        default=None,
+        description="The network ranges (in CIDR notation) used by services of the cluster.",
+        alias="serviceAddressRanges",
+    )
     __properties: ClassVar[List[str]] = [
         "aggregated",
         "creationTime",
@@ -73,8 +83,10 @@ class ClusterStatus(BaseModel):
         "expiration",
         "hibernated",
         "identity",
+        "nodeAddressRanges",
         "podAddressRanges",
         "serviceAccountIssuer",
+        "serviceAddressRanges",
     ]
 
     @field_validator("creation_time", mode="before")
@@ -175,8 +187,10 @@ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
                 ),
                 "hibernated": obj.get("hibernated"),
                 "identity": obj.get("identity"),
+                "nodeAddressRanges": obj.get("nodeAddressRanges"),
                 "podAddressRanges": obj.get("podAddressRanges"),
                 "serviceAccountIssuer": obj.get("serviceAccountIssuer"),
+                "serviceAddressRanges": obj.get("serviceAddressRanges"),
             }
         )
         return _obj

services/ske/src/stackit/ske/models/cluster_status_state.py

@@ -21,7 +21,7 @@
 
 class ClusterStatusState(str, Enum):
     """
-    ClusterStatusState
+    ClusterStatusState holds information about the current state of the Cluster
     """
 
     """

services/ske/src/stackit/ske/models/cni.py

@@ -0,0 +1,82 @@
+# 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, Field
+from pydantic_core import to_jsonable_python
+from typing_extensions import Self
+
+
+class CNI(BaseModel):
+    """
+    CNI to use for the cluster. Only one type of CNI can be used. The type of CNI is immutable after creation. Defaults to calico
+    """  # noqa: E501
+
+    calico: Optional[Dict[str, Any]] = Field(default=None, description="configuration options for the Calico CNI")
+    __properties: ClassVar[List[str]] = ["calico"]
+
+    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 CNI 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 CNI from a dict"""
+        if obj is None:
+            return None
+
+        if not isinstance(obj, dict):
+            return cls.model_validate(obj)
+
+        _obj = cls.model_validate({"calico": obj.get("calico")})
+        return _obj