Speedup travis-ci tests

server/website/website/settings/constants.py

@@ -5,6 +5,9 @@
 #
 
 # ---PIPELINE CONSTANTS---
+#  how often to run the background tests, in seconds
+RUN_EVERY = 300
+
 #  the number of samples (staring points) in gradient descent
 NUM_SAMPLES = 30
 

server/website/website/tasks/async_tasks.py

@@ -107,7 +107,6 @@ class ConfigurationRecommendation(UpdateTask):  # pylint: disable=abstract-metho
     def on_success(self, retval, task_id, args, kwargs):
         super(ConfigurationRecommendation, self).on_success(retval, task_id, args, kwargs)
 
-        LOG.info("NEXT CONFIG: %s", retval['recommendation'])
         result_id = retval['result_id']
         result = Result.objects.get(pk=result_id)
 

server/website/website/tasks/periodic_tasks.py

@@ -18,6 +18,7 @@ from analysis.preprocessing import (Bin, get_shuffle_indices,
                                     DummyEncoder,
                                     consolidate_columnlabels)
 from website.models import PipelineData, PipelineRun, Result, Workload
+from website.settings import RUN_EVERY
 from website.types import PipelineTaskType, WorkloadStatusType
 from website.utils import DataUtil, JSONUtil
 
@@ -27,8 +28,8 @@ LOG = get_task_logger(__name__)
 MIN_WORKLOAD_RESULTS_COUNT = 5
 
 
-# Run the background tasks every 5 minutes
-@periodic_task(run_every=300, name="run_background_tasks")
+# Run the background tasks every 'RUN_EVERY' seconds
+@periodic_task(run_every=RUN_EVERY, name="run_background_tasks")
 def run_background_tasks():
     LOG.debug("Starting background tasks")
     # Find modified and not modified workloads, we only have to calculate for the