DMSC Integration Testing

Test: nexusfiles-scipp|nmx|nmx_read_detector_everything|detector_panel_1

2026-02-03 00:18:05: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_nmx_999999_00017190.hdf')
detector_name = 'detector_panel_1'
check_everything_events =

@pytest.mark.parametrize("detector_name", [f"detector_panel_{i}" for i in range(3)])
def test_nmx_read_detector_everything(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_everything_events: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:84:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:338: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:292: ValueError

2026-02-02 00:16:57: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_nmx_999999_00017043.hdf')
detector_name = 'detector_panel_1'
check_everything_events =

@pytest.mark.parametrize("detector_name", [f"detector_panel_{i}" for i in range(3)])
def test_nmx_read_detector_everything(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_everything_events: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:84:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:338: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:292: ValueError

2026-02-01 00:18:10: success

None

2026-01-31 00:17:18: success

None

2026-01-30 00:17:11: success

None

2026-01-29 00:17:33: success

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2026-01-28 00:17:16: success

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2026-01-27 00:17:30: success

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2026-01-26 00:16:43: success

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2026-01-25 00:18:29: success

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2026-01-24 00:16:23: success

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2026-01-23 00:17:36: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_nmx_999999_00015643.hdf')
detector_name = 'detector_panel_1'
check_everything_events =

@pytest.mark.parametrize("detector_name", [f"detector_panel_{i}" for i in range(3)])
def test_nmx_read_detector_everything(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_everything_events: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:84:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:338: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:292: ValueError

2026-01-22 00:17:08: success

None

2026-01-21 00:16:15: success

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2026-01-20 20:45:02: success

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2026-01-20 13:56:37: success

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2026-01-20 00:16:07: success

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2026-01-19 21:58:13: success

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2026-01-19 12:25:07: success

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2026-01-19 12:22:38: success

None

2026-01-19 00:16:21: success

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2026-01-18 01:43:40: success

None

2026-01-17 00:16:14: success

None

2026-01-16 15:07:29: success

None

2026-01-16 14:40:14: success

None

2026-01-16 14:33:47: success

None

2026-01-16 14:28:30: failed

item =

def pytest_runtest_call(item) -> None:
coda_file = getattr(item, "_coda_file", None)
if coda_file is not None:
> item.record_property("coda_file", coda_file)
^^^^^^^^^^^^^^^^^^^^
E AttributeError: 'Function' object has no attribute 'record_property'

tests/conftest.py:17: AttributeError

System Out:

--------------------------------- Captured Log ---------------------------------

2026-01-16 14:17:54: error

request = >
_session_coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_nmx_999999_00014864.hdf')

@pytest.fixture
def coda_nexus_file_path(request, _session_coda_nexus_file_path: Path) -> Path:
> request.node.record_property(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
"coda_file",
str(_session_coda_nexus_file_path),
)
E AttributeError: 'Function' object has no attribute 'record_property'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dmsc_nightly/testing/nexusfiles/setup_fixtures.py:46: AttributeError

System Out:

--------------------------------- Captured Log ---------------------------------

2026-01-16 14:03:32: success

None

2026-01-16 11:57:01: success

None

2026-01-16 11:30:35: success

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2026-01-16 10:39:44: success

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2026-01-16 10:36:54: success

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2026-01-16 00:16:33: success

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2026-01-15 16:38:16: success

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2026-01-15 16:26:55: success

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2026-01-15 16:24:32: success

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2026-01-15 15:52:37: success

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2026-01-14 00:17:06: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_nmx_999999_00014535.hdf')
detector_name = 'detector_panel_1'
check_everything_events =

@pytest.mark.parametrize("detector_name", [f"detector_panel_{i}" for i in range(3)])
def test_nmx_read_detector_everything(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_everything_events: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:84:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:338: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:292: ValueError

2026-01-13 00:17:09: success

None

2026-01-12 00:16:45: success

None

2026-01-11 00:17:45: success

None

2026-01-10 00:16:34: success

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2026-01-09 08:59:39: success

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2026-01-09 00:16:53: success

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2026-01-08 11:10:56: success

None