Generate ske

Author: stackit-pipeline

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

@@ -37,6 +37,7 @@
 from stackit.ske.models.argus import Argus
 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.create_kubeconfig_payload import CreateKubeconfigPayload

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

@@ -18,6 +18,7 @@
 from stackit.ske.models.argus import Argus
 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.create_kubeconfig_payload import CreateKubeconfigPayload

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

@@ -0,0 +1,102 @@
+# coding: utf-8
+
+"""
+    SKE-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: 1.1
+    Generated by OpenAPI Generator (https://openapi-generator.tech)
+
+    Do not edit the class manually.
+"""  # noqa: E501 docstring might be too long
+
+from __future__ import annotations
+
+import json
+import pprint
+from typing import Any, ClassVar, Dict, List, Optional, Set
+
+from pydantic import BaseModel, ConfigDict, StrictStr, field_validator
+from typing_extensions import Self
+
+
+class ClusterError(BaseModel):
+    """
+    ClusterError
+    """
+
+    code: Optional[StrictStr] = None
+    message: Optional[StrictStr] = None
+    __properties: ClassVar[List[str]] = ["code", "message"]
+
+    @field_validator("code")
+    def code_validate_enum(cls, value):
+        """Validates the enum"""
+        if value is None:
+            return value
+
+        if value not in set(
+            [
+                "SKE_OBSERVABILITY_INSTANCE_NOT_FOUND",
+                "SKE_DNS_ZONE_NOT_FOUND",
+                "SKE_NODE_MISCONFIGURED_PDB",
+                "SKE_NODE_NO_VALID_HOST_FOUND",
+                "SKE_NODE_MACHINE_TYPE_NOT_FOUND",
+            ]
+        ):
+            raise ValueError(
+                "must be one of enum values ('SKE_OBSERVABILITY_INSTANCE_NOT_FOUND', 'SKE_DNS_ZONE_NOT_FOUND', 'SKE_NODE_MISCONFIGURED_PDB', 'SKE_NODE_NO_VALID_HOST_FOUND', 'SKE_NODE_MACHINE_TYPE_NOT_FOUND')"
+            )
+        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 ClusterError 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 ClusterError from a dict"""
+        if obj is None:
+            return None
+
+        if not isinstance(obj, dict):
+            return cls.model_validate(obj)
+
+        _obj = cls.model_validate({"code": obj.get("code"), "message": obj.get("message")})
+        return _obj

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

@@ -21,6 +21,7 @@
 from pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictStr
 from typing_extensions import Self
 
+from stackit.ske.models.cluster_error import ClusterError
 from stackit.ske.models.cluster_status_state import ClusterStatusState
 from stackit.ske.models.credentials_rotation_state import CredentialsRotationState
 from stackit.ske.models.runtime_error import RuntimeError
@@ -42,13 +43,15 @@ class ClusterStatus(BaseModel):
         alias="egressAddressRanges",
     )
     error: Optional[RuntimeError] = None
+    errors: Optional[List[ClusterError]] = None
     hibernated: Optional[StrictBool] = None
     __properties: ClassVar[List[str]] = [
         "aggregated",
         "creationTime",
         "credentialsRotation",
         "egressAddressRanges",
         "error",
+        "errors",
         "hibernated",
     ]
 
@@ -95,6 +98,13 @@ def to_dict(self) -> Dict[str, Any]:
         # override the default output from pydantic by calling `to_dict()` of error
         if self.error:
             _dict["error"] = self.error.to_dict()
+        # override the default output from pydantic by calling `to_dict()` of each item in errors (list)
+        _items = []
+        if self.errors:
+            for _item in self.errors:
+                if _item:
+                    _items.append(_item.to_dict())
+            _dict["errors"] = _items
         return _dict
 
     @classmethod
@@ -119,6 +129,11 @@ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
                 ),
                 "egressAddressRanges": obj.get("egressAddressRanges"),
                 "error": RuntimeError.from_dict(obj["error"]) if obj.get("error") is not None else None,
+                "errors": (
+                    [ClusterError.from_dict(_item) for _item in obj["errors"]]
+                    if obj.get("errors") is not None
+                    else None
+                ),
                 "hibernated": obj.get("hibernated"),
             }
         )