clean up

jobrunner/run_pipeline.py

@@ -1,43 +1,3 @@
-# from kubernetes import client, config
-
-# # Load the kubeconfig file
-# config.load_kube_config()
-
-# # Create an instance of the Kubernetes API client
-# api_instance = client.BatchV1Api()
-
-# # Define the job specification
-# job_spec = {
-#     "template": {
-#         "metadata": {"labels": {"app": "python-pipeline"}},
-#         "spec": {
-#             "containers": [
-#                 {
-#                     "name": "python-pipeline",
-#                     "image": "dummypipe",
-#                     "resources": {
-#                         "requests": {"memory": "512Mi"},
-#                         "limits": {"memory": "1Gi"},
-#                     },
-#                     "cpu": {"requests": "0.5", "limits": "1"},
-#                     "command": ["python", "pipeline.py"],
-#                 }
-#             ]
-#         },
-#     },
-# }
-
-# # Create the job object
-# job = client.V1Job(
-#     api_version="apps/v1",
-#     kind="Job",
-#     metadata=client.V1ObjectMeta(name="python-pipeline"),
-#     spec=client.V1JobSpec(**job_spec),
-# )
-
-# # Create the job in the jobrunner namespace
-# api_instance.create_namespaced_job(namespace="jobrunner", body=job)
-
 from kubernetes import client, config
 import string
 import random