diff --git a/SAS/TMSS/backend/src/tmss/tmssapp/subtasks.py b/SAS/TMSS/backend/src/tmss/tmssapp/subtasks.py
index 81b87bb5146ac302353b19f9b9a818409a033fde..725c862b5f7186f37fd6d38ea7afff07361de096 100644
--- a/SAS/TMSS/backend/src/tmss/tmssapp/subtasks.py
+++ b/SAS/TMSS/backend/src/tmss/tmssapp/subtasks.py
@@ -6,7 +6,7 @@ from functools import cmp_to_key
 from collections.abc import Iterable
 from math import ceil
 from lofar.common.ring_coordinates import RingCoordinates
-from os.path import split_ext
+from os.path import splitext
 
 from lofar.common.datetimeutils import formatDatetime, round_to_second_precision
 from lofar.common import isProductionEnvironment
@@ -1363,7 +1363,7 @@ def _create_pulsar_pipeline_output_dataproducts_and_transforms(pipeline_subtask:
     for input_dp in input_dps:
         is_coherent = input_dp.specifications_doc["coherent"]
 
-        output_dp = Dataproduct(filename="%s.tar" % (splitext(input_dp.filename)[0],) # .h5 -> .tar
+        output_dp = Dataproduct(filename="%s.tar" % (splitext(input_dp.filename)[0],), # .h5 -> .tar
                                 directory=directory+("cs/" if is_coherent else "is/"),
                                 dataformat=dataformat,
                                 datatype=datatype,
@@ -1399,7 +1399,7 @@ def _create_pulsar_pipeline_output_dataproducts_and_transforms(pipeline_subtask:
         return dataproduct.filename.split("_")[0]
 
     # construct how input dataproducts map onto the summaries
-    summary_mapping = {dp: (dp_obsid(dp), dp.specifications_doc["coherent"]) for dp in input_dps)}
+    summary_mapping = {dp: (dp_obsid(dp), dp.specifications_doc["coherent"]) for dp in input_dps}
     summaries = set(summary_mapping.values())
 
     summary_dps = {(obsid, is_coherent): Dataproduct(filename="L%s_summary%s.tar" % (obsid, "CS" if is_coherent else "IS"),