changes to dag args

dags/dag1_calculate_hpc_worker.py

@@ -1,11 +1,12 @@
 import os, json, logging, requests
-from airflow.models import DAG,Variable
-from airflow.operators.bash_operator import BashOperator
-from airflow.operators.python_operator import PythonOperator, BranchPythonOperator
-from airflow.contrib.operators.ssh_operator import SSHOperator
-from airflow.contrib.hooks.ssh_hook import SSHHook
-from airflow.utils.dates import days_ago
+from datetime import timedelta
 from requests.auth import HTTPBasicAuth
+from airflow.models import DAG, Variable
+from airflow.utils.dates import days_ago
+from airflow.contrib.hooks.ssh_hook import SSHHook
+from airflow.operators.python_operator import PythonOperator
+from airflow.operators.python_operator import BranchPythonOperator
+from airflow.contrib.operators.ssh_operator import SSHOperator
 from igf_airflow.celery.check_celery_queue import fetch_queue_list_from_redis_server
 from igf_airflow.celery.check_celery_queue import calculate_new_workers
 
@@ -14,6 +15,8 @@ CELERY_FLOWER_BASE_URL = Variable.get('celery_flower_base_url')
 args = {
     'owner':'airflow',
     'start_date':days_ago(2),
+    'retries': 1,
+    'retry_delay': timedelta(minutes=2),
     'provide_context': True,
 }
 
@@ -23,7 +26,7 @@ dag = DAG(
         dag_id='dag1_calculate_hpc_worker',
         catchup=False,
         max_active_runs=1,
-        schedule_interval="5,10,15,20,25,30,35,40,45,50,55 * * * *",
+        schedule_interval="*/5 * * * *",
         default_args=args,
         tags=['igf-lims',]
       )