Generator: Update SDK /services/ske

services/ske/oas_commit

@@ -1 +1 @@
-ea0931a6f93703c990517136e0d4c7a88455b282
+46f03c1468dd453695c05e72c088a6bfb5a4bbab

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

@@ -30,8 +30,10 @@
     "ACL",
     "Access",
     "AccessScope",
+    "ApplicationLoadBalancer",
     "Audit",
     "AvailabilityZone",
+    "CNI",
     "CRI",
     "Cluster",
     "ClusterError",
@@ -93,6 +95,9 @@
 
 # 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 +106,7 @@
 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,
 )

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,

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/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

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

@@ -17,7 +17,7 @@
 import pprint
 from typing import Any, ClassVar, Dict, List, Optional, Set
 
-from pydantic import BaseModel, ConfigDict, Field
+from pydantic import BaseModel, ConfigDict, Field, StrictStr
 from pydantic_core import to_jsonable_python
 from typing_extensions import Annotated, Self
 
@@ -42,6 +42,10 @@ class CreateOrUpdateClusterPayload(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
     network: Optional[Network] = None
     nodepools: Annotated[List[Nodepool], Field(min_length=1, max_length=50)]
@@ -52,6 +56,7 @@ class CreateOrUpdateClusterPayload(BaseModel):
         "extensions",
         "hibernation",
         "kubernetes",
+        "labels",
         "maintenance",
         "network",
         "nodepools",
@@ -146,6 +151,7 @@ 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/extension.py

@@ -17,11 +17,12 @@
 import pprint
 from typing import Any, ClassVar, Dict, List, Optional, Set
 
-from pydantic import BaseModel, ConfigDict
+from pydantic import BaseModel, ConfigDict, Field
 from pydantic_core import to_jsonable_python
 from typing_extensions import Self
 
 from stackit.ske.models.acl import ACL
+from stackit.ske.models.application_load_balancer import ApplicationLoadBalancer
 from stackit.ske.models.dns import DNS
 from stackit.ske.models.observability import Observability
 
@@ -32,9 +33,10 @@ class Extension(BaseModel):
     """  # noqa: E501
 
     acl: Optional[ACL] = None
+    application_load_balancer: Optional[ApplicationLoadBalancer] = Field(default=None, alias="applicationLoadBalancer")
     dns: Optional[DNS] = None
     observability: Optional[Observability] = None
-    __properties: ClassVar[List[str]] = ["acl", "dns", "observability"]
+    __properties: ClassVar[List[str]] = ["acl", "applicationLoadBalancer", "dns", "observability"]
 
     model_config = ConfigDict(
         validate_by_name=True,
@@ -76,6 +78,9 @@ def to_dict(self) -> Dict[str, Any]:
         # 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 application_load_balancer
+        if self.application_load_balancer:
+            _dict["applicationLoadBalancer"] = self.application_load_balancer.to_dict()
         # override the default output from pydantic by calling `to_dict()` of dns
         if self.dns:
             _dict["dns"] = self.dns.to_dict()
@@ -96,6 +101,11 @@ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
         _obj = cls.model_validate(
             {
                 "acl": ACL.from_dict(obj["acl"]) if obj.get("acl") is not None else None,
+                "applicationLoadBalancer": (
+                    ApplicationLoadBalancer.from_dict(obj["applicationLoadBalancer"])
+                    if obj.get("applicationLoadBalancer") 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

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

@@ -40,11 +40,11 @@ def end_validate_regular_expression(cls, value):
             value = str(value)
 
         if not re.match(
-            r"(@(annually|yearly|monthly|weekly|daily|hourly|reboot))|(@every (\\d+(ns|us|µs|ms|s|m|h))+)|((((\\d+,)+\\d+|(\\d+(\\/|-)\\d+)|\\d+|\\*) ?){5,7})",
+            r"(@(annually|yearly|monthly|weekly|daily|hourly|reboot))|(@every (\d+(ns|us|µs|ms|s|m|h))+)|((((\d+,)+\d+|(\d+(\/|-)\d+)|\d+|\*) ?){5,7})",
             value,
         ):
             raise ValueError(
-                r"must validate the regular expression /(@(annually|yearly|monthly|weekly|daily|hourly|reboot))|(@every (\\d+(ns|us|µs|ms|s|m|h))+)|((((\\d+,)+\\d+|(\\d+(\\/|-)\\d+)|\\d+|\\*) ?){5,7})/"
+                r"must validate the regular expression /(@(annually|yearly|monthly|weekly|daily|hourly|reboot))|(@every (\d+(ns|us|µs|ms|s|m|h))+)|((((\d+,)+\d+|(\d+(\/|-)\d+)|\d+|\*) ?){5,7})/"
             )
         return value
 
@@ -55,11 +55,11 @@ def start_validate_regular_expression(cls, value):
             value = str(value)
 
         if not re.match(
-            r"(@(annually|yearly|monthly|weekly|daily|hourly|reboot))|(@every (\\d+(ns|us|µs|ms|s|m|h))+)|((((\\d+,)+\\d+|(\\d+(\\/|-)\\d+)|\\d+|\\*) ?){5,7})",
+            r"(@(annually|yearly|monthly|weekly|daily|hourly|reboot))|(@every (\d+(ns|us|µs|ms|s|m|h))+)|((((\d+,)+\d+|(\d+(\/|-)\d+)|\d+|\*) ?){5,7})",
             value,
         ):
             raise ValueError(
-                r"must validate the regular expression /(@(annually|yearly|monthly|weekly|daily|hourly|reboot))|(@every (\\d+(ns|us|µs|ms|s|m|h))+)|((((\\d+,)+\\d+|(\\d+(\\/|-)\\d+)|\\d+|\\*) ?){5,7})/"
+                r"must validate the regular expression /(@(annually|yearly|monthly|weekly|daily|hourly|reboot))|(@every (\d+(ns|us|µs|ms|s|m|h))+)|((((\d+,)+\d+|(\d+(\/|-)\d+)|\d+|\*) ?){5,7})/"
             )
         return value
 

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

@@ -59,8 +59,13 @@ def version_validate_regular_expression(cls, value):
         if not isinstance(value, str):
             value = str(value)
 
-        if not re.match(r"^\d+\.\d+\.\d+$", value):
-            raise ValueError(r"must validate the regular expression /^\d+\.\d+\.\d+$/")
+        if not re.match(
+            r"^(0|[1-9]\d*)\.(0|[1-9]\d*)\.(0|[1-9]\d*)(?:-((?:0|[1-9]\d*|\d*[a-zA-Z-][0-9a-zA-Z-]*)(?:\.(?:0|[1-9]\d*|\d*[a-zA-Z-][0-9a-zA-Z-]*))*))?(?:\+([0-9a-zA-Z-]+(?:\.[0-9a-zA-Z-]+)*))?$",
+            value,
+        ):
+            raise ValueError(
+                r"must validate the regular expression /^(0|[1-9]\d*)\.(0|[1-9]\d*)\.(0|[1-9]\d*)(?:-((?:0|[1-9]\d*|\d*[a-zA-Z-][0-9a-zA-Z-]*)(?:\.(?:0|[1-9]\d*|\d*[a-zA-Z-][0-9a-zA-Z-]*))*))?(?:\+([0-9a-zA-Z-]+(?:\.[0-9a-zA-Z-]+)*))?$/"
+            )
         return value
 
     model_config = ConfigDict(