Update datascience pipeline run URL in Elyra (#137)

Author: mlassak

jupyter/datascience/ubi9-python-3.9/Dockerfile

@@ -36,7 +36,7 @@ RUN mkdir /opt/app-root/runtimes && \
     sed -i "s/Kubeflow Pipelines/Data Science Pipelines/g" /opt/app-root/lib/python3.9/site-packages/elyra/metadata/schemas/kfp.json && \
     sed -i "s/kubeflow-service/data-science-pipeline-service/g" /opt/app-root/lib/python3.9/site-packages/elyra/metadata/schemas/kfp.json && \
     sed -i "s/\"default\": \"Argo\",/\"default\": \"Tekton\",/g" /opt/app-root/lib/python3.9/site-packages/elyra/metadata/schemas/kfp.json && \
-    # Workaround for passing ssl_sa_cert
+    # Workaround for passing ssl_sa_cert and to ensure that Elyra redirects to a correct pipeline run URL
     patch /opt/app-root/lib/python3.9/site-packages/elyra/pipeline/kfp/kfp_authentication.py -i utils/kfp_authentication.patch && \
     patch /opt/app-root/lib/python3.9/site-packages/elyra/pipeline/kfp/processor_kfp.py -i utils/processor_kfp.patch && \
     # switch to Data Science Pipeline in component catalog \

jupyter/datascience/ubi9-python-3.9/utils/processor_kfp.patch

@@ -8,3 +8,22 @@
                  )
              else:
                  client = ArgoClient(
+@@ -435,7 +435,7 @@
+ 
+             self.log_pipeline_info(
+                 pipeline_name,
+-                f"pipeline submitted: {public_api_endpoint}/#/runs/details/{run.id}",
++                f"pipeline submitted: {public_api_endpoint}/{run.id}",
+                 duration=time.time() - t0,
+             )
+ 
+@@ -451,7 +451,7 @@
+ 
+         return KfpPipelineProcessorResponse(
+             run_id=run.id,
+-            run_url=f"{public_api_endpoint}/#/runs/details/{run.id}",
++            run_url=f"{public_api_endpoint}/{run.id}",
+             object_storage_url=object_storage_url,
+             object_storage_path=object_storage_path,
+         )
+