1 files changed, 0 insertions, 108 deletions
diff --git a/kubernetes/readiness/src/main/scripts/job_complete.py b/kubernetes/readiness/src/main/scripts/job_complete.py
deleted file mode 100644
index a9570c5951..0000000000
--- a/kubernetes/readiness/src/main/scripts/job_complete.py
+++ /dev/null
@@ -1,108 +0,0 @@
-#!/usr/bin/env python
-import getopt
-import logging
-import os
-import sys
-import time
-import random
-
-from kubernetes import client
-
-# extract env variables.
-namespace = os.environ['NAMESPACE']
-cert = os.environ['CERT']
-host = os.environ['KUBERNETES_SERVICE_HOST']
-token_path = os.environ['TOKEN']
-
-with open(token_path, 'r') as token_file:
-    token = token_file.read().replace('\n', '')
-
-# setup logging
-log = logging.getLogger(__name__)
-handler = logging.StreamHandler(sys.stdout)
-formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
-handler.setFormatter(formatter)
-handler.setLevel(logging.INFO)
-log.addHandler(handler)
-log.setLevel(logging.INFO)
-
-configuration = client.Configuration()
-configuration.host = "https://" + host
-configuration.ssl_ca_cert = cert
-configuration.api_key['authorization'] = token
-configuration.api_key_prefix['authorization'] = 'Bearer'
-batchV1Api = client.BatchV1Api(client.ApiClient(configuration))
-
-
-def is_job_complete(job_name):
-    complete = False
-    log.info("Checking if " + job_name + "  is complete")
-    response = ""
-    try:
-        response = batchV1Api.read_namespaced_job_status(job_name, namespace)
-        if response.status.succeeded == 1:
-            job_status_type = response.status.conditions[0].type
-            if job_status_type == "Complete":
-                complete = True
-            else:
-                log.info(job_name + " is not complete")
-        else:
-            log.info(job_name + " has not succeeded yet")
-        return complete
-    except Exception as e:
-        log.error("Exception when calling read_namespaced_job_status: %s\n" % e)
-
-
-DEF_TIMEOUT = 10
-DESCRIPTION = "Kubernetes container job complete check utility"
-USAGE = "Usage: job_complete.py [-t <timeout>] -j <job_name> " \
-        "[-j <job_name> ...]\n" \
-        "where\n" \
-        "<timeout> - wait for container job complete timeout in min, " \
-        "default is " + str(DEF_TIMEOUT) + "\n" \
-        "<job_name> - name of the job to wait for\n"
-
-
-def main(argv):
-    # args are a list of job names
-    job_names = []
-    timeout = DEF_TIMEOUT
-    try:
-        opts, args = getopt.getopt(argv, "hj:t:", ["job-name=",
-                                                   "timeout=",
-                                                   "help"])
-        for opt, arg in opts:
-            if opt in ("-h", "--help"):
-                print("%s\n\n%s" % (DESCRIPTION, USAGE))
-                sys.exit()
-            elif opt in ("-j", "--job-name"):
-                job_names.append(arg)
-            elif opt in ("-t", "--timeout"):
-                timeout = float(arg)
-    except (getopt.GetoptError, ValueError) as e:
-        print("Error parsing input parameters: %s\n" % e)
-        print(USAGE)
-        sys.exit(2)
-    if job_names.__len__() == 0:
-        print("Missing required input parameter(s)\n")
-        print(USAGE)
-        sys.exit(2)
-
-    for job_name in job_names:
-        timeout = time.time() + timeout * 60
-        while True:
-            complete = is_job_complete(job_name)
-            if complete is True:
-                break
-            elif time.time() > timeout:
-                log.warning("timed out waiting for '" + job_name +
-                            "' to be completed")
-                exit(1)
-            else:
-                # spread in time potentially parallel execution in multiple
-                # containers
-                time.sleep(random.randint(5, 11))
-
-
-if __name__ == "__main__":
-    main(sys.argv[1:])