add integration test

client/driver/fabfile.py

@@ -652,19 +652,33 @@ def rename_batch(result_dir=None):
     result_dir = result_dir or CONF['save_path']
     results = glob.glob(os.path.join(result_dir, '*__summary.json'))
     results = sorted(results)
-    count = len(results)
     for i, result in enumerate(results):
         prefix = os.path.basename(result)
         prefix_len = os.path.basename(result).find('_') + 2
         prefix = prefix[:prefix_len]
         new_prefix = str(i) + '__'
-        files = {}
         for base in ('summary', 'knobs', 'metrics_before', 'metrics_after'):
             fpath = os.path.join(result_dir, prefix + base + '.json')
             rename_path = os.path.join(result_dir, new_prefix + base + '.json')
             os.rename(fpath, rename_path)
 
 
+def wait_pipeline_data_ready(max_time_sec=800, interval_sec=10):
+    max_time_sec = int(max_time_sec)
+    interval_sec = int(interval_sec)
+    elapsed = 0
+
+    while elapsed <= max_time_sec:
+        response = requests.get(CONF['upload_url'] + '/test/pipeline/')
+        response = response.content
+        LOG.info(response)
+        if 'False' in response:
+            time.sleep(interval_sec)
+            elapsed += interval_sec
+        else:
+            return
+
+
 @task
 def integration_tests():
 
@@ -677,14 +691,19 @@ def integration_tests():
     upload_batch(result_dir='../../integrationTests/data/', upload_code='ottertuneTestNoTuning')
 
     # TO DO: BG ready
+    response = requests.get(CONF['upload_url'] + '/test/pipeline/')
+    LOG.info(response.content)
+
     # Test DNN
     LOG.info('Test DNN (deep neural network)')
-    upload_result(result_dir='../../integrationTests/data/', prefix='0__', upload_code='ottertuneTestTuningDNN')
+    upload_result(result_dir='../../integrationTests/data/', prefix='0__',
+                  upload_code='ottertuneTestTuningDNN')
     response = get_result(upload_code='ottertuneTestTuningDNN')
     assert response['status'] == 'good'
 
     # Test GPR
     LOG.info('Test GPR (gaussian process regression)')
-    upload_result(result_dir='../../integrationTests/data/', prefix='0__', upload_code='ottertuneTestTuningGPR')
+    upload_result(result_dir='../../integrationTests/data/', prefix='0__',
+                  upload_code='ottertuneTestTuningGPR')
     response = get_result(upload_code='ottertuneTestTuningGPR')
     assert response['status'] == 'good'

server/website/website/models.py

@@ -182,16 +182,21 @@ class Session(BaseModel):
 
 class SessionKnobManager(models.Manager):
     @staticmethod
-    def get_knobs_for_session(session):
+    def get_knobs_for_session(session, only_session_knobs=False):
         # Returns a dict of the knob
         knobs = KnobCatalog.objects.filter(dbms=session.dbms)
         knob_dicts = list(knobs.values())
+        session_knob_dicts = []
         for i, _ in enumerate(knob_dicts):
             if SessionKnob.objects.filter(session=session, knob=knobs[i]).exists():
                 new_knob = SessionKnob.objects.filter(session=session, knob=knobs[i])[0]
                 knob_dicts[i]["minval"] = new_knob.minval
                 knob_dicts[i]["maxval"] = new_knob.maxval
                 knob_dicts[i]["tunable"] = new_knob.tunable
+                session_knob_dicts.append(new_knob)
+        if only_session_knobs:
+            knob_dicts = session_knob_dicts
+        else:
             knob_dicts = [knob for knob in knob_dicts if knob["tunable"]]
         return knob_dicts
 

server/website/website/tasks/async_tasks.py

@@ -544,7 +544,7 @@ def configuration_recommendation(recommendation_input):
     X_max = np.empty(X_scaled.shape[1])
     X_scaler_matrix = np.zeros([1, X_scaled.shape[1]])
 
-    session_knobs = SessionKnob.objects.get_knobs_for_session(newest_result.session)
+    session_knobs = SessionKnob.objects.get_knobs_for_session(newest_result.session, only_session_knobs=True)
 
     # Set min/max for knob values
     for i in range(X_scaled.shape[1]):

server/website/website/urls.py

@@ -70,6 +70,10 @@ urlpatterns = [
 
     # train ddpg with results in the given session
     url(r'^train_ddpg/sessions/(?P<session_id>[0-9]+)$', website_views.train_ddpg_loops, name='train_ddpg_loops'),
+
+    # Test
+    url(r'^test/create/', website_views.create_test_website, name='create_test_website'),
+    url(r'^test/pipeline/', website_views.pipeline_data_ready, name='pipeline_data_ready')
 ]
 
 if settings.DEBUG:

server/website/website/views.py

@@ -29,8 +29,8 @@ from pytz import timezone
 
 from .db import parser, target_objectives
 from .forms import NewResultForm, ProjectForm, SessionForm, SessionKnobForm
-from .models import (BackupData, DBMSCatalog, KnobCatalog, KnobData, MetricCatalog,
+from .models import (BackupData, DBMSCatalog, KnobCatalog, KnobData, MetricCatalog, User, Hardware,
-                     MetricData, Project, Result, Session, Workload, SessionKnob)
+                     MetricData, Project, Result, Session, Workload, SessionKnob, PipelineRun)
 from .tasks import (aggregate_target_results, map_workload, train_ddpg,
                     configuration_recommendation, configuration_recommendation_ddpg)
 from .types import (DBMSType, KnobUnitType, MetricType,
@@ -1041,3 +1041,52 @@ def train_ddpg_loops(request, session_id):  # pylint: disable=unused-argument
     for result in results:
         train_ddpg(result.pk)
     return HttpResponse()
+
+
+# integration test
+@csrf_exempt
+def pipeline_data_ready(request):  # pylint: disable=unused-argument
+    LOG.info(PipelineRun.objects.get_latest())
+    if PipelineRun.objects.get_latest() is None:
+        response = "Pipeline data ready: False"
+    else:
+        response = "Pipeline data ready: True"
+    return HttpResponse(response)
+
+
+# integration test
+@csrf_exempt
+def create_test_website(request):  # pylint: disable=unused-argument
+    if User.objects.filter(username='ottertune_test_user').exists():
+        User.objects.filter(username='ottertune_test_user').delete()
+    if Hardware.objects.filter(pk=1).exists():
+        test_hardware = Hardware.objects.get(pk=1)
+    else:
+        test_hardware = Hardware.objects.create(pk=1)
+
+    test_user = User.objects.create_user(username='ottertune_test_user',
+                                         password='ottertune_test_user')
+    test_project = Project.objects.create(user=test_user, name='ottertune_test_project',
+                                          creation_time=now(), last_update=now())
+    # create no tuning session
+    Session.objects.create(name='test_session_no_tuning', tuning_session='no_tuning_session',
+                           dbms_id=1, hardware=test_hardware, project=test_project,
+                           creation_time=now(), last_update=now(), user=test_user,
+                           upload_code='ottertuneTestNoTuning')
+    # create gpr session
+    Session.objects.create(name='test_session_gpr', user=test_user, tuning_session='tuning_session',
+                           dbms_id=1, hardware=test_hardware, project=test_project,
+                           creation_time=now(), last_update=now(), algorithm=AlgorithmType.GPR,
+                           upload_code='ottertuneTestTuningGPR')
+    # create dnn session
+    Session.objects.create(name='test_session_dnn', user=test_user, tuning_session='tuning_session',
+                           dbms_id=1, hardware=test_hardware, project=test_project,
+                           creation_time=now(), last_update=now(), algorithm=AlgorithmType.DNN,
+                           upload_code='ottertuneTestTuningDNN')
+    # create ddpg session
+    Session.objects.create(name='test_session_ddpg', tuning_session='tuning_session',
+                           dbms_id=1, hardware=test_hardware, project=test_project,
+                           creation_time=now(), last_update=now(), user=test_user,
+                           upload_code='ottertuneTestTuningDDPG', algorithm=AlgorithmType.DDPG)
+    response = HttpResponse("Success: create test website successfully")
+    return response