1 files changed, 108 insertions, 0 deletions
diff --git a/kubernetes/readiness/src/main/scripts/job_complete.py b/kubernetes/readiness/src/main/scripts/job_complete.py
new file mode 100644
index 0000000000..a9570c5951
--- /dev/null
+++ b/kubernetes/readiness/src/main/scripts/job_complete.py
@@ -0,0 +1,108 @@
+#!/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:])