From 79aa7a754863cca6b667ee5360d4aba52f34b358 Mon Sep 17 00:00:00 2001
From: Jorrit Schaap <schaap@astron.nl>
Date: Tue, 2 Nov 2021 13:46:31 +0100
Subject: [PATCH] TMSS-1124: using first is ok according to
 https://git.astron.nl/ro/lofar/-/merge_requests/633#note_24581

---
 SAS/TMSS/backend/src/tmss/tmssapp/subtasks.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/SAS/TMSS/backend/src/tmss/tmssapp/subtasks.py b/SAS/TMSS/backend/src/tmss/tmssapp/subtasks.py
index 32d00e9ed57..e9fe29f48fc 100644
--- a/SAS/TMSS/backend/src/tmss/tmssapp/subtasks.py
+++ b/SAS/TMSS/backend/src/tmss/tmssapp/subtasks.py
@@ -1750,7 +1750,7 @@ def _create_pulsar_pipeline_output_dataproducts_and_transforms(pipeline_subtask:
         dataproduct_specifications_template = DataproductSpecificationsTemplate.objects.get(name="time series")
 
         # select subtask output the new dataproducts will be linked to
-        pipeline_subtask_output = pipeline_subtask.outputs.filter(output_role__dataformat=dataformat, output_role__datatype=datatype).first()  # TODO: if we have several, how to map input to output?
+        pipeline_subtask_output = pipeline_subtask.outputs.filter(output_role__dataformat=dataformat, output_role__datatype=datatype).first()
 
         # how the output is constructed from the input. we do this based on filenames: input dataproducts that result in the same filename
         # are combined to produce the output with that filename.
@@ -1824,7 +1824,7 @@ def _create_pulsar_pipeline_output_dataproducts_and_transforms(pipeline_subtask:
         dataproduct_specifications_template = DataproductSpecificationsTemplate.objects.get(name="pulp summary")
 
         # select subtask output the new dataproducts will be linked to
-        pipeline_subtask_output = pipeline_subtask.outputs.filter(output_role__dataformat=dataformat, output_role__datatype=datatype).first()  # TODO: if we have several, how to map input to output?
+        pipeline_subtask_output = pipeline_subtask.outputs.filter(output_role__dataformat=dataformat, output_role__datatype=datatype).first()
 
         # 1. create dataproducts
         # type                example filename
-- 
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