fix: Remove closed jira references and jira references from doc string

tests/model_serving/model_server/kserve/autoscaling/keda/test_isvc_keda_scaling_cpu.py

@@ -5,7 +5,6 @@
 from kubernetes.dynamic import DynamicClient
 from ocp_resources.inference_service import InferenceService
 from ocp_resources.namespace import Namespace
-from ocp_resources.resource import ResourceEditor
 from simple_logger.logger import get_logger
 
 from tests.model_serving.model_runtime.vllm.basic_model_deployment.test_granite_7b_starter import SERVING_ARGUMENT
@@ -17,7 +16,6 @@
 )
 from utilities.constants import ModelFormat, ModelVersion, Protocols, RunTimeConfigs, Timeout
 from utilities.inference_utils import Inference
-from utilities.jira import is_jira_open
 from utilities.manifests.onnx import ONNX_INFERENCE_CONFIG
 from utilities.monitoring import validate_metrics_field
 
@@ -74,31 +72,6 @@ def test_ovms_keda_scaling_verify_scaledobject(
         admin_client: DynamicClient,
     ):
         """Test KEDA ScaledObject configuration and run inference multiple times to trigger scaling."""
-
-        if is_jira_open(jira_id="RHOAIENG-31386", admin_client=admin_client):
-            isvc_dict = stressed_ovms_keda_inference_service.instance.to_dict()
-            metrics = isvc_dict.get("spec", {}).get("predictor", {}).get("autoScaling", {}).get("metrics", [])
-
-            if metrics and isinstance(metrics[0], dict) and metrics[0].get("external") is not None:
-                metrics[0].setdefault("external", {})["authenticationRef"] = {
-                    "authModes": "bearer",
-                    "authenticationRef": {"name": "inference-prometheus-auth"},
-                }
-
-                ResourceEditor(
-                    patches={
-                        stressed_ovms_keda_inference_service: {
-                            "spec": {
-                                "predictor": {
-                                    "autoScaling": {
-                                        "metrics": metrics,
-                                    }
-                                }
-                            }
-                        }
-                    }
-                ).update()
-
         verify_keda_scaledobject(
             client=unprivileged_client,
             isvc=stressed_ovms_keda_inference_service,

tests/model_serving/model_server/kserve/ingress/test_route_visibility.py

@@ -60,7 +60,6 @@ def test_rest_raw_deployment_internal_route(self, s3_models_inference_service):
             use_default_query=True,
         )
 
-    @pytest.mark.jira("RHOAIENG-17322", run=False)
     @pytest.mark.parametrize(
         "patched_s3_caikit_kserve_isvc_visibility_label",
         [
@@ -190,8 +189,7 @@ def test_rest_raw_deployment_exposed_route_with_timeout(self, s3_models_inferenc
     ],
     indirect=True,
 )
-@pytest.mark.skip(reason="skipping grpc raw for tgis-caikit RHOAIENG-17783")
-@pytest.mark.jira("RHOAIENG-17783", run=False)
+@pytest.mark.skip(reason="skipping grpc raw for tgis-caikit")
 class TestGrpcRawDeployment:
     def test_grpc_raw_deployment_internal_route(self, s3_models_inference_service):
         """Test GRPC inference using internal route"""
@@ -247,8 +245,7 @@ def test_grpc_raw_deployment_exposed_route(self, patched_s3_caikit_kserve_isvc_v
     ],
     indirect=True,
 )
-@pytest.mark.skip(reason="skipping grpc raw for tgis-caikit RHOAIENG-17783")
-@pytest.mark.jira("RHOAIENG-17783", run=False)
+@pytest.mark.skip(reason="skipping grpc raw for tgis-caikit")
 class TestGrpcRawDeploymentTimeout:
     @pytest.mark.dependency(name="test_grpc_raw_deployment_exposed_route")
     def test_grpc_raw_deployment_exposed_route(self, s3_models_inference_service):

tests/model_serving/model_server/kserve/multi_node/conftest.py

@@ -79,7 +79,7 @@ def multi_node_serving_runtime(
 ) -> Generator[ServingRuntime, Any, Any]:
     with ServingRuntimeFromTemplate(
         client=unprivileged_client,
-        name="vllm-multinode-runtime",  # TODO: rename servingruntime when RHOAIENG-16147 is resolved
+        name="vllm-multinode-runtime",
         namespace=unprivileged_model_namespace.name,
         template_name="vllm-multinode-runtime-template",
         multi_model=False,

tests/model_serving/model_server/kserve/negative/test_invalid_model_name.py

@@ -1,6 +1,5 @@
-"""Tests for invalid model name in inference endpoint.
-
-Jira: RHOAIENG-48282
+"""
+Tests for invalid model name in inference endpoint.
 """
 
 import json

tests/model_serving/model_server/kserve/negative/test_malformed_json_payload.py

@@ -1,6 +1,5 @@
-"""Tests for malformed JSON payload handling in inference requests.
-
-Jira: RHOAIENG-48279
+"""
+Tests for malformed JSON payload handling in inference requests.
 """
 
 from http import HTTPStatus

tests/model_serving/model_server/kserve/negative/test_missing_required_fields.py

@@ -1,6 +1,5 @@
-"""Tests for missing required fields in inference requests.
-
-Jira: RHOAIENG-48281
+"""
+Tests for missing required fields in inference requests.
 """
 
 import json

tests/model_serving/model_server/kserve/negative/test_unsupported_content_type.py

@@ -1,6 +1,5 @@
-"""Tests for unsupported Content-Type headers in inference requests.
-
-Jira: RHOAIENG-48283
+"""
+Tests for unsupported Content-Type headers in inference requests.
 """
 
 import json

tests/model_serving/model_server/kserve/negative/test_wrong_input_data_type.py

@@ -1,6 +1,5 @@
-"""Tests for wrong data types in input tensor.
-
-Jira: RHOAIENG-48280
+"""
+Tests for wrong data types in input tensor.
 """
 
 import copy

tests/model_serving/model_server/kserve/platform/test_custom_resources.py

@@ -32,7 +32,6 @@ def wait_for_isvc_model_status(isvc: InferenceService, target_model_state: str,
         raise
 
 
-@pytest.mark.jira("RHOAIENG-10765")
 @pytest.mark.parametrize(
     "unprivileged_model_namespace, serving_runtime_from_template, invalid_s3_models_inference_service",
     [

tests/model_serving/model_server/kserve/storage/oci/test_oci_image.py

@@ -42,7 +42,6 @@
 )
 class TestKserveModelCar:
     @pytest.mark.tier1
-    @pytest.mark.jira("RHOAIENG-13465")
     def test_model_car_no_restarts(self, model_car_inference_service):
         """Verify that model pod doesn't restart"""
         pod = get_pods_by_isvc_label(
@@ -56,7 +55,7 @@ def test_model_car_no_restarts(self, model_car_inference_service):
 
     @pytest.mark.tier1
     @pytest.mark.ocp_interop
-    @pytest.mark.jira("RHOAIENG-12306")
+    @pytest.mark.skip(reason="Skipping due to RHOAIENG-12306")
     def test_model_car_using_rest(self, model_car_inference_service):
         """Verify model query with token using REST"""
         verify_inference_response(
@@ -69,7 +68,7 @@ def test_model_car_using_rest(self, model_car_inference_service):
 
     @pytest.mark.tier1
     @pytest.mark.ocp_interop
-    @pytest.mark.jira("RHOAIENG-38674")
+    @pytest.mark.skip(reason="Skipping due to RHOAIENG-38674")
     def test_model_status_loaded(self, model_car_inference_service):
         """Verify model status on the InferenceService resource is in a valid state."""
         model_status = model_car_inference_service.instance.status.modelStatus