Use scarlet_lite io

lsst · Jun 1, 2023 · 1e2006d · 1e2006d
1 parent cdb7959
commit 1e2006d
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Showing 2 changed files with 10 additions and 5 deletions.
diff --git a/python/lsst/pipe/tasks/multiBand.py b/python/lsst/pipe/tasks/multiBand.py
@@ -33,6 +33,7 @@
     CatalogCalculationTask,
     SkyMapIdGeneratorConfig,
 )
+from lsst.meas.extensions.scarlet.io import updateCatalogFootprints
 from lsst.meas.astrom import DirectMatchTask, denormalizeMatches
 from lsst.pipe.tasks.fakes import BaseFakeSourcesTask
 from lsst.pipe.tasks.setPrimaryFlags import SetPrimaryFlagsTask
@@ -577,12 +578,13 @@ def runQuantum(self, butlerQC, inputRefs, outputRefs):
                 redistributeImage = inputs['exposure'].image
             else:
                 redistributeImage = None
-            modelData.updateCatalogFootprints(
+            updateCatalogFootprints(
+                modelData=modelData,
                 catalog=sources,
                 band=inputRefs.exposure.dataId["band"],
-                psfModel=inputs['exposure'].getPsf(),
                 redistributeImage=redistributeImage,
                 removeScarletData=True,
+                updateFluxColumns=True,
             )
         table = sources.getTable()
         table.setMetadata(self.algMetadata)  # Capture algorithm metadata to write out to the source catalog.

diff --git a/tests/test_isPrimaryFlag.py b/tests/test_isPrimaryFlag.py
@@ -33,6 +33,7 @@
 from lsst.pipe.tasks.characterizeImage import CharacterizeImageTask, CharacterizeImageConfig
 from lsst.pipe.tasks.calibrate import CalibrateTask, CalibrateConfig
 from lsst.meas.algorithms import SourceDetectionTask, SkyObjectsTask
+import lsst.meas.extensions.scarlet as mes
 from lsst.meas.extensions.scarlet.scarletDeblendTask import ScarletDeblendTask
 from lsst.meas.base import SingleFrameMeasurementTask
 from lsst.pipe.tasks.setPrimaryFlags import SetPrimaryFlagsTask, getPseudoSources
@@ -251,11 +252,13 @@ def testIsScarletPrimaryFlag(self):
         # deblend
         catalog, modelData = deblendTask.run(coadds, catalog)
         # Attach footprints to the catalog
-        modelData.updateCatalogFootprints(
+        mes.io.updateCatalogFootprints(
+            modelData=modelData,
             catalog=catalog,
             band="test",
-            psfModel=coadds["test"].getPsf(),
-            redistributeImage=None,
+            redistributeImage=coadds.image["test"],
+            removeScarletData=True,
+            updateFluxColumns=True
         )
         # measure
         measureTask.run(catalog, self.exposure)