[minor] Integrate aiservice into mas-install pipeline (#141)

Co-authored-by: Bhautik Vala <bhautikvala@ibm.com>

Author: Bhautik-Vala

src/mas/devops/tekton.py

@@ -477,13 +477,15 @@ def launchPipelineRun(dynClient: DynamicClient, namespace: str, templateName: st
 
 def launchInstallPipeline(dynClient: DynamicClient, params: dict) -> str:
     """
-    Create a PipelineRun to install the chosen MAS instance (and selected dependencies)
+    Create a PipelineRun to install the chosen MAS ( or AI Service ) instance (and selected dependencies)
     """
-    instanceId = params["mas_instance_id"]
-    namespace = f"mas-{instanceId}-pipelines"
+    applicationType = "aiservice" if not params.get("mas_instance_id") else "mas"
+    params["applicationType"] = applicationType
+    instanceId = params[f"{applicationType}_instance_id"]
+    namespace = f"{applicationType}-{instanceId}-pipelines"
     timestamp = launchPipelineRun(dynClient, namespace, "pipelinerun-install", params)
 
-    pipelineURL = f"{getConsoleURL(dynClient)}/k8s/ns/mas-{instanceId}-pipelines/tekton.dev~v1beta1~PipelineRun/{instanceId}-install-{timestamp}"
+    pipelineURL = f"{getConsoleURL(dynClient)}/k8s/ns/{applicationType}-{instanceId}-pipelines/tekton.dev~v1beta1~PipelineRun/{instanceId}-install-{timestamp}"
     return pipelineURL
 
 
@@ -498,18 +500,6 @@ def launchUpdatePipeline(dynClient: DynamicClient, params: dict) -> str:
     return pipelineURL
 
 
-def launchAiServiceInstallPipeline(dynClient: DynamicClient, params: dict) -> str:
-    """
-    Create a PipelineRun to install the AI Service
-    """
-    instanceId = params["aiservice_instance_id"]
-    namespace = f"aiservice-{instanceId}-pipelines"
-    timestamp = launchPipelineRun(dynClient, namespace, "pipelinerun-aiservice-install", params)
-
-    pipelineURL = f"{getConsoleURL(dynClient)}/k8s/ns/aiservice-{instanceId}-pipelines/tekton.dev~v1beta1~PipelineRun/{instanceId}-install-{timestamp}"
-    return pipelineURL
-
-
 def launchAiServiceUpgradePipeline(dynClient: DynamicClient,
                                    aiserviceInstanceId: str,
                                    skipPreCheck: bool = False,