feat: Add InferenceGraph resource (#2361)

Author: israel-hdez

ocp_resources/inference_graph.py

@@ -0,0 +1,91 @@
+# Generated using https://github.com/RedHatQE/openshift-python-wrapper/blob/main/scripts/resource/README.md
+
+from __future__ import annotations
+
+from typing import Any
+from ocp_resources.resource import NamespacedResource, MissingRequiredArgumentError
+
+
+class InferenceGraph(NamespacedResource):
+    """
+    No field description from API; please add description
+    """
+
+    api_group: str = NamespacedResource.ApiGroup.SERVING_KSERVE_IO
+
+    def __init__(
+        self,
+        affinity: dict[str, Any] | None = None,
+        max_replicas: int | None = None,
+        min_replicas: int | None = None,
+        nodes: dict[str, Any] | None = None,
+        resources: dict[str, Any] | None = None,
+        scale_metric: str | None = None,
+        scale_target: int | None = None,
+        timeout: int | None = None,
+        **kwargs: Any,
+    ) -> None:
+        r"""
+        Args:
+            affinity (dict[str, Any]): No field description from API; please add description
+
+            max_replicas (int): No field description from API; please add description
+
+            min_replicas (int): No field description from API; please add description
+
+            nodes (dict[str, Any]): No field description from API; please add description
+
+            resources (dict[str, Any]): No field description from API; please add description
+
+            scale_metric (str): No field description from API; please add description
+
+            scale_target (int): No field description from API; please add description
+
+            timeout (int): No field description from API; please add description
+
+        """
+        super().__init__(**kwargs)
+
+        self.affinity = affinity
+        self.max_replicas = max_replicas
+        self.min_replicas = min_replicas
+        self.nodes = nodes
+        self.resources = resources
+        self.scale_metric = scale_metric
+        self.scale_target = scale_target
+        self.timeout = timeout
+
+    def to_dict(self) -> None:
+        super().to_dict()
+
+        if not self.kind_dict and not self.yaml_file:
+            if self.nodes is None:
+                raise MissingRequiredArgumentError(argument="self.nodes")
+
+            self.res["spec"] = {}
+            _spec = self.res["spec"]
+
+            _spec["nodes"] = self.nodes
+
+            if self.affinity is not None:
+                _spec["affinity"] = self.affinity
+
+            if self.max_replicas is not None:
+                _spec["maxReplicas"] = self.max_replicas
+
+            if self.min_replicas is not None:
+                _spec["minReplicas"] = self.min_replicas
+
+            if self.resources is not None:
+                _spec["resources"] = self.resources
+
+            if self.scale_metric is not None:
+                _spec["scaleMetric"] = self.scale_metric
+
+            if self.scale_target is not None:
+                _spec["scaleTarget"] = self.scale_target
+
+            if self.timeout is not None:
+                _spec["timeout"] = self.timeout
+
+    # End of generated code