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Add MatchTractCatalog(Probabilistic)
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# This file is part of pipe_tasks. | ||
# | ||
# Developed for the LSST Data Management System. | ||
# This product includes software developed by the LSST Project | ||
# (https://www.lsst.org). | ||
# See the COPYRIGHT file at the top-level directory of this distribution | ||
# for details of code ownership. | ||
# | ||
# This program is free software: you can redistribute it and/or modify | ||
# it under the terms of the GNU General Public License as published by | ||
# the Free Software Foundation, either version 3 of the License, or | ||
# (at your option) any later version. | ||
# | ||
# This program is distributed in the hope that it will be useful, | ||
# but WITHOUT ANY WARRANTY; without even the implied warranty of | ||
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | ||
# GNU General Public License for more details. | ||
# | ||
# You should have received a copy of the GNU General Public License | ||
# along with this program. If not, see <https://www.gnu.org/licenses/>. | ||
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__all__ = [ | ||
'MatchTractCatalogSubConfig', 'MatchTractCatalogSubTask', | ||
'MatchTractCatalogConfig', 'MatchTractCatalogTask' | ||
] | ||
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import lsst.afw.geom as afwGeom | ||
import lsst.pex.config as pexConfig | ||
import lsst.pipe.base as pipeBase | ||
import lsst.pipe.base.connectionTypes as cT | ||
from lsst.skymap import BaseSkyMap | ||
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from abc import ABC, abstractmethod | ||
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import pandas as pd | ||
from typing import Tuple, Set | ||
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MatchTractCatalogBaseTemplates = { | ||
"name_input_cat_ref": "truth_summary", | ||
"name_input_cat_target": "objectTable_tract", | ||
} | ||
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class MatchTractCatalogConnections( | ||
pipeBase.PipelineTaskConnections, | ||
dimensions=("tract", "skymap"), | ||
defaultTemplates=MatchTractCatalogBaseTemplates, | ||
): | ||
cat_ref = cT.Input( | ||
doc="Reference object catalog to match from", | ||
name="{name_input_cat_ref}", | ||
storageClass="DataFrame", | ||
dimensions=("tract", "skymap"), | ||
deferLoad=True, | ||
) | ||
cat_target = cT.Input( | ||
doc="Target object catalog to match", | ||
name="{name_input_cat_target}", | ||
storageClass="DataFrame", | ||
dimensions=("tract", "skymap"), | ||
deferLoad=True, | ||
) | ||
skymap = cT.Input( | ||
doc="Input definition of geometry/bbox and projection/wcs for coadded exposures", | ||
name=BaseSkyMap.SKYMAP_DATASET_TYPE_NAME, | ||
storageClass="SkyMap", | ||
dimensions=("skymap",), | ||
) | ||
cat_output_ref = cT.Output( | ||
doc="Reference matched catalog with indices of target matches", | ||
name="match_ref_{name_input_cat_ref}_{name_input_cat_target}", | ||
storageClass="DataFrame", | ||
dimensions=("tract", "skymap"), | ||
) | ||
cat_output_target = cT.Output( | ||
doc="Target matched catalog with indices of reference matches", | ||
name="match_target_{name_input_cat_ref}_{name_input_cat_target}", | ||
storageClass="DataFrame", | ||
dimensions=("tract", "skymap"), | ||
) | ||
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class MatchTractCatalogSubConfig(pexConfig.Config): | ||
"""Config class for the MatchTractCatalogSubTask to define methods returning | ||
values that depend on multiple config settings. | ||
""" | ||
@property | ||
@abstractmethod | ||
def columns_in_ref(self) -> Set[str]: | ||
raise NotImplementedError() | ||
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@property | ||
@abstractmethod | ||
def columns_in_target(self) -> Set[str]: | ||
raise NotImplementedError() | ||
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class MatchTractCatalogSubTask(pipeBase.Task, ABC): | ||
"""An abstract interface for subtasks of MatchTractCatalogTask to match | ||
two tract object catalogs. | ||
Parameters | ||
---------- | ||
**kwargs | ||
Additional arguments to be passed to the `lsst.pipe.base.Task` | ||
constructor. | ||
""" | ||
ConfigClass = MatchTractCatalogSubConfig | ||
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def __init__(self, **kwargs): | ||
super().__init__(**kwargs) | ||
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@abstractmethod | ||
def run( | ||
self, | ||
catalog_ref: pd.DataFrame, | ||
catalog_target: pd.DataFrame, | ||
wcs: afwGeom.SkyWcs = None, | ||
) -> pipeBase.Struct: | ||
"""Match sources in a reference tract catalog with a target catalog. | ||
Parameters | ||
---------- | ||
catalog_ref : `pandas.DataFrame` | ||
A reference catalog to match objects/sources from. | ||
catalog_target : `pandas.DataFrame` | ||
A target catalog to match reference objects/sources to. | ||
wcs : `lsst.afw.image.SkyWcs` | ||
A coordinate system to convert catalog positions to sky coordinates. | ||
Returns | ||
------- | ||
retStruct : `lsst.pipe.base.Struct` | ||
A struct with output_ref and output_target attribute containing the | ||
output matched catalogs. | ||
""" | ||
raise NotImplementedError() | ||
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class MatchTractCatalogConfig( | ||
pipeBase.PipelineTaskConfig, | ||
pipelineConnections=MatchTractCatalogConnections, | ||
): | ||
"""Configure a MatchTractCatalogTask, including a configurable matching subtask. | ||
""" | ||
match_tract_catalog = pexConfig.ConfigurableField( | ||
target=MatchTractCatalogSubTask, | ||
doc="Task to match sources in a reference tract catalog with a target catalog", | ||
) | ||
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def get_columns_in(self) -> Tuple[Set, Set]: | ||
"""Get the set of input columns required for matching. | ||
Returns | ||
------- | ||
columns_ref : `set` [`str`] | ||
The set of required input catalog column names. | ||
columns_target : `set` [`str`] | ||
The set of required target catalog column names. | ||
""" | ||
try: | ||
columns_ref, columns_target = (self.match_tract_catalog.columns_in_ref, | ||
self.match_tract_catalog.columns_in_target) | ||
except AttributeError as err: | ||
raise RuntimeError(f'{__class__}.match_tract_catalog must have columns_in_ref and' | ||
f' columns_in_target attributes: {err}') from None | ||
return set(columns_ref), set(columns_target) | ||
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class MatchTractCatalogTask(pipeBase.PipelineTask): | ||
"""Match sources in a reference tract catalog with those in a target catalog. | ||
""" | ||
ConfigClass = MatchTractCatalogConfig | ||
_DefaultName = "MatchTractCatalog" | ||
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def __init__(self, initInputs, **kwargs): | ||
super().__init__(initInputs=initInputs, **kwargs) | ||
self.makeSubtask("match_tract_catalog") | ||
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def runQuantum(self, butlerQC, inputRefs, outputRefs): | ||
inputs = butlerQC.get(inputRefs) | ||
columns_ref, columns_target = self.config.get_columns_in() | ||
skymap = inputs.pop("skymap") | ||
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outputs = self.run( | ||
catalog_ref=inputs['cat_ref'].get(parameters={'columns': columns_ref}), | ||
catalog_target=inputs['cat_target'].get(parameters={'columns': columns_target}), | ||
wcs=skymap[butlerQC.quantum.dataId["tract"]].wcs, | ||
) | ||
butlerQC.put(outputs, outputRefs) | ||
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def run( | ||
self, | ||
catalog_ref: pd.DataFrame, | ||
catalog_target: pd.DataFrame, | ||
wcs: afwGeom.SkyWcs = None, | ||
) -> pipeBase.Struct: | ||
"""Match sources in a reference tract catalog with a target catalog. | ||
Parameters | ||
---------- | ||
catalog_ref : `pandas.DataFrame` | ||
A reference catalog to match objects/sources from. | ||
catalog_target : `pandas.DataFrame` | ||
A target catalog to match reference objects/sources to. | ||
wcs : `lsst.afw.image.SkyWcs` | ||
A coordinate system to convert catalog positions to sky coordinates, | ||
if necessary. | ||
Returns | ||
------- | ||
retStruct : `lsst.pipe.base.Struct` | ||
A struct with output_ref and output_target attribute containing the | ||
output matched catalogs. | ||
""" | ||
output = self.match_tract_catalog.run(catalog_ref, catalog_target, wcs=wcs) | ||
if output.exceptions: | ||
self.log.warn(f'Exceptions: {output.exceptions}') | ||
retStruct = pipeBase.Struct(cat_output_ref=output.cat_output_ref, | ||
cat_output_target=output.cat_output_target) | ||
return retStruct |
95 changes: 95 additions & 0 deletions
95
python/lsst/pipe/tasks/match_tract_catalog_probabilistic.py
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# This file is part of pipe_tasks. | ||
# | ||
# Developed for the LSST Data Management System. | ||
# This product includes software developed by the LSST Project | ||
# (https://www.lsst.org). | ||
# See the COPYRIGHT file at the top-level directory of this distribution | ||
# for details of code ownership. | ||
# | ||
# This program is free software: you can redistribute it and/or modify | ||
# it under the terms of the GNU General Public License as published by | ||
# the Free Software Foundation, either version 3 of the License, or | ||
# (at your option) any later version. | ||
# | ||
# This program is distributed in the hope that it will be useful, | ||
# but WITHOUT ANY WARRANTY; without even the implied warranty of | ||
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | ||
# GNU General Public License for more details. | ||
# | ||
# You should have received a copy of the GNU General Public License | ||
# along with this program. If not, see <https://www.gnu.org/licenses/>. | ||
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__all__ = [ | ||
'MatchTractCatalogProbabilisticConfig', 'MatchTractCatalogProbabilisticTask', | ||
] | ||
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import lsst.afw.geom as afwGeom | ||
from lsst.meas.astrom.match_probabilistic_task import MatchProbabilisticTask | ||
from lsst.meas.astrom.matcher_probabilistic import MatchProbabilisticConfig | ||
import lsst.pipe.base as pipeBase | ||
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from .match_tract_catalog import MatchTractCatalogSubConfig, MatchTractCatalogSubTask | ||
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import pandas as pd | ||
from typing import Set | ||
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class MatchTractCatalogProbabilisticConfig(MatchProbabilisticConfig, MatchTractCatalogSubConfig): | ||
"""Config class for the MatchTractCatalogSubTask to define methods returning | ||
values that depend on multiple config settings. | ||
""" | ||
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@property | ||
def columns_in_ref(self) -> Set[str]: | ||
return super().columns_in_ref | ||
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@property | ||
def columns_in_target(self) -> Set[str]: | ||
return super().columns_in_target | ||
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class MatchTractCatalogProbabilisticTask(MatchProbabilisticTask, MatchTractCatalogSubTask): | ||
"""An abstract interface for subtasks of MatchTractCatalogTask to match | ||
two tract object catalogs. | ||
Parameters | ||
---------- | ||
**kwargs | ||
Additional arguments to be passed to the `lsst.pipe.base.Task` | ||
constructor. | ||
""" | ||
ConfigClass = MatchTractCatalogProbabilisticConfig | ||
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def __init__(self, **kwargs): | ||
super().__init__(**kwargs) | ||
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def run( | ||
self, | ||
catalog_ref: pd.DataFrame, | ||
catalog_target: pd.DataFrame, | ||
wcs: afwGeom.SkyWcs = None, | ||
) -> pipeBase.Struct: | ||
"""Match sources in a reference tract catalog with a target catalog. | ||
Parameters | ||
---------- | ||
catalog_ref : `pandas.DataFrame` | ||
A reference catalog to match objects/sources from. | ||
catalog_target : `pandas.DataFrame` | ||
A target catalog to match reference objects/sources to. | ||
wcs : `lsst.afw.image.SkyWcs` | ||
A coordinate system to convert catalog positions to sky coordinates. | ||
Only needed if `config.coords_ref_to_convert` is used to convert | ||
reference catalog sky coordinates to pixel positions. | ||
Returns | ||
------- | ||
retStruct : `lsst.pipe.base.Struct` | ||
A struct with output_ref and output_target attribute containing the | ||
output matched catalogs. | ||
""" | ||
return super().run( | ||
catalog_ref=catalog_ref, | ||
catalog_target=catalog_target, | ||
wcs=wcs, | ||
) |