Merge pull request #120 from george0st/transaction

Add entities to the vector

docs/redis.md

@@ -29,5 +29,5 @@
    - see `QGATE_REDIS = redis://localhost:6379`
  - Note
    - Port is based on container see **6379**, you can use also different 
-   protocol see **rediss**, more informations see [Redis targes store from MLRun](https://docs.mlrun.org/en/latest/data-prep/ingest-data-fs.html#redis-target-store)
+   protocol see **rediss**, more information see [Redis targes store from MLRun](https://docs.mlrun.org/en/latest/data-prep/ingest-data-fs.html#redis-target-store)
 

qgate_sln_mlrun/ts/ts401.py

@@ -63,7 +63,7 @@ def _create_featurevector_content(self, project_name, featurevector_name, featur
         features = json_spec['features']
 
         # create feature vector
-        vector = fstore.FeatureVector(featurevector_name, features, description=featurevector_desc)
+        vector = fstore.FeatureVector(featurevector_name, features, description = featurevector_desc, with_indexes = True)
         vector.save()
 
 

qgate_sln_mlrun/ts/ts502.py

@@ -59,7 +59,7 @@ def _get_data_online(self, testcase_name, project_name, featurevector_name):
                 entities.append(itm)
 
             resp=svc.get(entities, as_list=False)
-            if len(resp)!=1:
+            if len(resp) == 0:
                 raise ValueError("Feature vector did not return value.")
             else:
                 for feature_name in test_features:

qgate_sln_mlrun/version.py

@@ -1,3 +1,3 @@
 # Store the version here so:
 
-__version__ = '0.1.4'
+__version__ = '0.1.5'