def test_race_soft_deleted_wf_module(self):
result = ProcessResult(pd.DataFrame({'A': [1]}))
workflow = Workflow.objects.create()
tab = workflow.tabs.create(position=0)
wf_module = tab.wf_modules.create(order=0, is_deleted=True)
# Don't crash
self.run_with_async_db(
save_result_if_changed(workflow.id, wf_module, result))
assert True
def test_store_if_changed(self):
workflow = Workflow.objects.create()
tab = workflow.tabs.create(position=0)
wf_module = tab.wf_modules.create(order=0, slug="step-1")
table = mock_csv_table.copy()
self.run_with_async_db(
save_result_if_changed(workflow.id, wf_module,
ProcessResult(table)))
self.assertEqual(StoredObject.objects.count(), 1)
# store same table again, should not create a new one
self.run_with_async_db(
save_result_if_changed(workflow.id, wf_module,
ProcessResult(table)))
self.assertEqual(StoredObject.objects.count(), 1)
# changed table should create new
table = table.append(table, ignore_index=True)
self.run_with_async_db(
save_result_if_changed(workflow.id, wf_module,
ProcessResult(table)))
self.assertEqual(StoredObject.objects.count(), 2)
def test_storage_limits(self):
workflow = Workflow.objects.create()
tab = workflow.tabs.create(position=0)
wf_module = tab.wf_modules.create(order=0, slug="step-1")
table = mock_csv_table
stored_objects = wf_module.stored_objects # not queried yet
for i in range(0, 4):
# double table size, mimicking real-world growth of a table (but
# faster)
table = table.append(table, ignore_index=True)
self.run_with_async_db(
save_result_if_changed(workflow.id, wf_module,
ProcessResult(table)))
total_size = sum(stored_objects.values_list("size", flat=True))
self.assertLessEqual(total_size, settings.MAX_STORAGE_PER_MODULE)
n_objects = stored_objects.count()
# test should have made the able big enoug to force there to be only
# one version, eventually.
# if not, increase table size/loop iterations, or decrease limit
self.assertEqual(n_objects, 1)
