diff --git a/bin/purge_user_timeseries.py b/bin/purge_user_timeseries.py
index 8c51aad42..d95a402ef 100644
--- a/bin/purge_user_timeseries.py
+++ b/bin/purge_user_timeseries.py
@@ -109,8 +109,8 @@ def purgeUserTimeseries(user_uuid, user_email=None, dir_name=DEFAULT_DIR_NAME, u
         export_file_name = dir_name + "/archive_%s_%s_%s" % (user_id, time_query.startTs, time_query.endTs)
 
         
-        start_ts_datetime = datetime.datetime.fromtimestamp(time_query.startTs).strftime('%Y-%m-%d %H:%M:%S')
-        end_ts_datetime = datetime.datetime.fromtimestamp(time_query.endTs).strftime('%Y-%m-%d %H:%M:%S')
+        start_ts_datetime = datetime.fromtimestamp(time_query.startTs).strftime('%Y-%m-%d %H:%M:%S')
+        end_ts_datetime = datetime.fromtimestamp(time_query.endTs).strftime('%Y-%m-%d %H:%M:%S')
         print("Start Time: ", start_ts_datetime)
         print("Start Ts: ", time_query.startTs)
         print("End Time: ", end_ts_datetime)
@@ -143,7 +143,7 @@ def purgeUserTimeseries(user_uuid, user_email=None, dir_name=DEFAULT_DIR_NAME, u
             print(f"Key query: {key}")
             print("{} deleted entries from {} to {}".format(result.deleted_count, start_ts_datetime, end_ts_datetime))
 
-        return file_name
+        return export_file_name
 
 
 if __name__ == '__main__':
diff --git a/emission/analysis/classification/inference/labels/inferrers.py b/emission/analysis/classification/inference/labels/inferrers.py
index 2c3f52f2c..04a59cdd9 100644
--- a/emission/analysis/classification/inference/labels/inferrers.py
+++ b/emission/analysis/classification/inference/labels/inferrers.py
@@ -6,7 +6,6 @@
 import copy
 import time
 import arrow
-from uuid import UUID
 
 import emission.analysis.modelling.tour_model_first_only.load_predict as lp
 import emission.analysis.modelling.trip_model.run_model as eamur
@@ -172,19 +171,14 @@ def predict_cluster_confidence_discounting(trip_list, max_confidence=None, first
     user_id_list = []
     for trip in trip_list:
         user_id_list.append(trip['user_id'])
-    error_message = f"""
-            Multiple user_ids found for trip_list, expected unique user_id for all trips.
-            Unique user_ids count = {len(set(user_id_list))}
-            {set(user_id_list)}
-        """
-    assert user_id_list.count(user_id_list[0]) == len(user_id_list), error_message
+    assert user_id_list.count(user_id_list[0]) == len(user_id_list), "Multiple user_ids found for trip_list, expected unique user_id for all trips"
     # Assertion successful, use unique user_id
     user_id = user_id_list[0]
 
     # load model
     start_model_load_time = time.process_time()
     model = eamur._load_stored_trip_model(user_id, model_type, model_storage)
-    logging.debug(f"{arrow.now()} Inside predict_cluster_confidence_discounting: Model load time = {time.process_time() - start_model_load_time}")
+    print(f"{arrow.now()} Inside predict_labels_n: Model load time = {time.process_time() - start_model_load_time}")
 
     labels_n_list = eamur.predict_labels_with_n(trip_list, model)
     predictions_list = []
diff --git a/emission/analysis/modelling/trip_model/run_model.py b/emission/analysis/modelling/trip_model/run_model.py
index 9bd59326a..7356aa597 100644
--- a/emission/analysis/modelling/trip_model/run_model.py
+++ b/emission/analysis/modelling/trip_model/run_model.py
@@ -109,7 +109,7 @@ def predict_labels_with_n(
     """
 
     predictions_list = []
-    logging.debug(f"{arrow.now()} Inside predict_labels_n: Predicting...")
+    print(f"{arrow.now()} Inside predict_labels_n: Predicting...")
     start_predict_time = time.process_time()
     for trip in trip_list:
         if model is None:
@@ -118,7 +118,7 @@ def predict_labels_with_n(
         else:
             predictions, n = model.predict(trip)
             predictions_list.append((predictions, n))
-    logging.debug(f"{arrow.now()} Inside predict_labels_n: Predictions complete for trip_list in time = {time.process_time() - start_predict_time}")
+    print(f"{arrow.now()} Inside predict_labels_n: Predictions complete for trip_list in time = {time.process_time() - start_predict_time}")
     return predictions_list
 
 
diff --git a/emission/tests/exportTests/TestExportModule.py b/emission/tests/exportTests/TestExportModule.py
index f4ce7ed80..93e10c136 100644
--- a/emission/tests/exportTests/TestExportModule.py
+++ b/emission/tests/exportTests/TestExportModule.py
@@ -33,7 +33,7 @@ def testExportModule(self):
         self.assertTrue(pl.Path(file_name).is_file()) 
         with gzip.open(file_name, 'r') as ef:
             exported_data = json.loads(ef.read().decode('utf-8'))
-
+            
         confirmed_trips_exported = []
         for t in exported_data:
             if t['metadata']['key'] == "analysis/confirmed_trip":