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DM-38210: Use butler.get() rather than deprecated getDirect() #227

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merged 4 commits into from
Apr 3, 2023
Merged

DM-38210: Use butler.get() rather than deprecated getDirect() #227

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a4d777f
Use butler.get() rather than deprecated getDirect()
timj Mar 3, 2023
eb60108
Use Butler.put instead of now deprecated putDirect
timj Mar 29, 2023
d712735
Use the safer and more explicit removeRuns API
timj Mar 29, 2023
e6a9c8b
Replace-run test requires we recreate the graph now
timj Mar 30, 2023
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2 changes: 1 addition & 1 deletion python/lsst/ctrl/mpexec/cmdLineFwk.py
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Original file line number Diff line number Diff line change
Expand Up @@ -423,7 +423,7 @@ def makeWriteButler(cls, args: SimpleNamespace, taskDefs: Optional[Iterable[Task
# collection from its chain collection first.
with butler.transaction():
butler.registry.setCollectionChain(self.output.name, chainDefinition, flatten=True)
butler.pruneCollection(replaced, purge=True, unstore=True)
butler.removeRuns([replaced], unstore=True)
elif args.prune_replaced is not None:
raise NotImplementedError(f"Unsupported --prune-replaced option '{args.prune_replaced}'.")
if not self.output.exists:
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2 changes: 1 addition & 1 deletion python/lsst/ctrl/mpexec/log_capture.py
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Original file line number Diff line number Diff line change
Expand Up @@ -182,7 +182,7 @@ def _store_log_records(
raise InvalidQuantumError(
f"Quantum contains unresolved reference for task log output dataset type {dataset_type}."
)
self.butler.putDirect(log_handler.records, ref)
self.butler.put(log_handler.records, ref)
else:
self.full_butler.put(log_handler.records, ref)

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14 changes: 7 additions & 7 deletions python/lsst/ctrl/mpexec/preExecInit.py
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Expand Up @@ -180,7 +180,7 @@ def saveInitOutputs(self, graph: QuantumGraph) -> None:
_LOG.debug(
"Retrieving InitOutputs for task=%s key=%s dsTypeName=%s", task, name, attribute.name
)
obj_from_store = self.butler.getDirect(init_output_ref)
obj_from_store = self.butler.get(init_output_ref)
# Types are supposed to be identical.
# TODO: Check that object contents is identical too.
if type(obj_from_store) is not type(init_output_var):
Expand All @@ -192,7 +192,7 @@ def saveInitOutputs(self, graph: QuantumGraph) -> None:
else:
_LOG.debug("Saving InitOutputs for task=%s key=%s", taskDef.label, name)
# This can still raise if there is a concurrent write.
self.butler.putDirect(init_output_var, init_output_ref)
self.butler.put(init_output_var, init_output_ref)

def saveConfigs(self, graph: QuantumGraph) -> None:
"""Write configurations for pipeline tasks to butler or check that
Expand Down Expand Up @@ -234,7 +234,7 @@ def logConfigMismatch(msg: str) -> None:
else:
# butler will raise exception if dataset is already there
_LOG.debug("Saving Config for task=%s dataset type=%s", taskDef.label, config_name)
self.butler.putDirect(taskDef.config, dataset_ref)
self.butler.put(taskDef.config, dataset_ref)

def savePackageVersions(self, graph: QuantumGraph) -> None:
"""Write versions of software packages to butler.
Expand Down Expand Up @@ -271,9 +271,9 @@ def savePackageVersions(self, graph: QuantumGraph) -> None:
# have to remove existing dataset first, butler has no
# replace option.
self.butler.pruneDatasets([dataset_ref], unstore=True, purge=True)
self.butler.putDirect(old_packages, dataset_ref)
self.butler.put(old_packages, dataset_ref)
else:
self.butler.putDirect(packages, dataset_ref)
self.butler.put(packages, dataset_ref)

@abc.abstractmethod
def find_init_input_refs(self, taskDef: TaskDef, graph: QuantumGraph) -> Iterable[DatasetRef]:
Expand Down Expand Up @@ -526,7 +526,7 @@ def _find_existing(
ref = self.full_butler.registry.findDataset(dataset_type, dataId, collections=[run])
if self.extendRun and ref is not None:
try:
config = self.butler.getDirect(ref)
config = self.butler.get(ref)
return config, ref
except (LookupError, FileNotFoundError):
return None, ref
Expand Down Expand Up @@ -580,7 +580,7 @@ def _find_existing(self, refs: Iterable[DatasetRef], dataset_type: str) -> tuple
for ref in refs:
if ref.datasetType.name == dataset_type:
try:
data = self.butler.getDirect(ref)
data = self.butler.get(ref)
return data, ref
except (LookupError, FileNotFoundError):
return None, ref
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2 changes: 1 addition & 1 deletion python/lsst/ctrl/mpexec/singleQuantumExecutor.py
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Expand Up @@ -582,7 +582,7 @@ def writeMetadata(
ref = ref.unresolved()
self.butler.put(metadata, ref)
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@TallJimbo this fails if we don't unresolve the ref because of this test code for replace run in test_cmdLineFwk:

        # re-run with --replace-run (--inputs is ignored, as long as it hasn't
        # changed)
        args.replace_run = True
        args.output_run = "output/run2"
        fwk.runPipeline(copy.deepcopy(qgraph), taskFactory, args)

and you get a resolved ref for run output/run1 being put into output/run2 and it failing because it wants to put it into output/run1.

@andy-slac Interestingly we also get another failure in the simplest possible test:

        qgraph = fwk.makeGraph(self.pipeline, args)
        # run whole thing
        fwk.runPipeline(qgraph, taskFactory, args)

where the problem is:

'output/20230330T204714Z' != 'output/20230330T204715Z'

with error: No collection with name 'output/20230330T204714Z' found. which makes me wonder how we are generating two different versions of that timestamped output run.

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@timj timj Mar 30, 2023 •
edited
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Of course that second test failure with the timestamp is random because it depends on timing. I can also get testSimpleQGraphClobberOutputs to fail with the same timestamp mismatch as testSimpleQGraph. (it's the _metadata dataset each time)

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If we don't unresolve refs then in runPipeline we should probably take output run from QuantumGraph. But I'm not sure how this will interact with all other options.

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As I say on Slack, recalculating the graph each time in the --replace-run test does work. This is going to have to be required unless --replace-run calls some kind of method on the graph to recalculate all the output dataset refs with a new run (and then you lose provenance in the graph that is on disk).

else:
limited_butler.putDirect(metadata, ref)
limited_butler.put(metadata, ref)

def initGlobals(self, quantum: Quantum) -> None:
"""Initialize global state needed for task execution.
Expand Down
2 changes: 1 addition & 1 deletion python/lsst/ctrl/mpexec/taskFactory.py
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Expand Up @@ -55,7 +55,7 @@ def makeTask(
dataset_type_name = attribute.name
for ref in initInputRefs:
if ref.datasetType.name == dataset_type_name:
init_inputs[name] = butler.getDirect(ref)
init_inputs[name] = butler.get(ref)
break

# make task instance
Expand Down