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# See COPYRIGHT file at the top of the source tree. 

# 

# This file is part of fgcmcal. 

# 

# 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/>. 

"""Class for running fgcmcal on a single tract using sourceTable_visit tables. 

""" 

 

import lsst.pipe.base as pipeBase 

 

from .dataIds import TractCheckDataIdContainer 

from .fgcmBuildStarsTable import FgcmBuildStarsTableTask 

from .fgcmCalibrateTractBase import (FgcmCalibrateTractConfigBase, FgcmCalibrateTractRunner, 

FgcmCalibrateTractBaseTask) 

 

__all__ = ['FgcmCalibrateTractTableConfig', 'FgcmCalibrateTractTableTask'] 

 

 

class FgcmCalibrateTractTableConfig(FgcmCalibrateTractConfigBase): 

"""Config for FgcmCalibrateTractTable task""" 

def setDefaults(self): 

super().setDefaults() 

 

# For the Table version of CalibrateTract, use the associated 

# Table version of the BuildStars task. 

self.fgcmBuildStars.retarget(FgcmBuildStarsTableTask) 

# For tract mode, we set a very high effective density cut. 

self.fgcmBuildStars.densityCutMaxPerPixel = 10000 

 

 

class FgcmCalibrateTractTableTask(FgcmCalibrateTractBaseTask): 

""" 

Calibrate a single tract using fgcmcal, using sourceTable_visit 

input catalogs. 

""" 

ConfigClass = FgcmCalibrateTractTableConfig 

RunnerClass = FgcmCalibrateTractRunner 

_DefaultName = "fgcmCalibrateTract" 

 

@classmethod 

def _makeArgumentParser(cls): 

parser = pipeBase.ArgumentParser(name=cls._DefaultName) 

parser.add_id_argument("--id", "sourceTable_visit", 

help="Data ID, e.g. --id visit=6789 tract=9617", 

ContainerClass=TractCheckDataIdContainer) 

 

return parser