adding if keys are blank take out

orion.py

@@ -74,9 +74,7 @@ def orion(**kwargs):
                 logging.info("No UUID present for given metadata")
                 sys.exit()
         else:
-            print("baseline" + str(baseline))
             uuids = re.split(' |,',baseline)
-            print("uuids" + str(uuids))
             uuids.append(uuid)
         if metadata["benchmark.keyword"] == "k8s-netperf" :
             index = "k8s-netperf"
@@ -99,8 +97,10 @@ def orion(**kwargs):
             lambda left, right: pd.merge(left, right, on="uuid", how="inner"),
             dataframe_list,
         )
+
+        csv_name = kwargs["output"].split(".")[0]+"-"+test['name']+".csv"
         match.save_results(
-            merged_df, csv_file_path=kwargs["output"].split(".")[0]+"-"+test['name']+".csv"
+            merged_df, csv_file_path=csv_name
         )
 
         if kwargs["hunter_analyze"]:

utils/orion_funcs.py

@@ -128,7 +128,7 @@ def filter_metadata(uuid,match,logger):
         dict: dictionary of the metadata
     """
 
-    test= match.get_metadata_by_uuid(uuid)
+    test = match.get_metadata_by_uuid(uuid)
     metadata = {
         'platform': '', 
         'clusterType': '', 
@@ -154,8 +154,11 @@ def filter_metadata(uuid,match,logger):
         metadata[k] = v
     metadata['benchmark.keyword'] = test['benchmark']
     metadata["ocpVersion"] = str(metadata["ocpVersion"])
-    logger.debug('metadata' + str(metadata))
-    return metadata
+
+    #Remove any keys that have blank values
+    no_blank_meta = {k: v for k, v in metadata.items() if v}
+    logger.debug('No blank metadata dict: ' + str(no_blank_meta))
+    return no_blank_meta