Source code for xlens.process_pipe.hsc.copy_register_data

# 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
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__all__ = [
    "RegisterSimPipeConfig",
    "RegisterSimPipe",
    "RegisterSimPipeConnections",
]

import glob
import logging
import os
from typing import Any

import fitsio
import lsst.afw.image as afwImage
import lsst.afw.table as afwTable
import lsst.pipe.base.connectionTypes as cT
from lsst.pipe.base import (
    PipelineTask,
    PipelineTaskConfig,
    PipelineTaskConnections,
    Struct,
)
from lsst.skymap import BaseSkyMap
from lsst.utils.logging import LsstLogAdapter


[docs] class RegisterSimPipeConnections( PipelineTaskConnections, dimensions=("tract", "patch", "band", "skymap"), defaultTemplates={"coaddName": "deep"}, ):
[docs] skyMap = cT.Input( doc="SkyMap to use in processing", name=BaseSkyMap.SKYMAP_DATASET_TYPE_NAME, storageClass="SkyMap", dimensions=("skymap",), )
[docs] outputExposure = cT.Output( doc="Input coadd image", name="{coaddName}Coadd_calexp", storageClass="ExposureF", dimensions=("tract", "patch", "band", "skymap"), )
[docs] outputCatalog = cT.Output( doc=("original measurement catalog"), name="{coaddName}Coadd_meas", storageClass="SourceCatalog", dimensions=("tract", "patch", "band", "skymap"), )
def __init__(self, *, config=None): super().__init__(config=config)
[docs] class RegisterSimPipeConfig( PipelineTaskConfig, pipelineConnections=RegisterSimPipeConnections, ):
[docs] def validate(self): super().validate()
[docs] class RegisterSimPipe(PipelineTask):
[docs] _DefaultName = "FpfsTask"
[docs] ConfigClass = RegisterSimPipeConfig
def __init__( self, *, config: RegisterSimPipeConfig | None = None, log: logging.Logger | LsstLogAdapter | None = None, initInputs: dict[str, Any] | None = None, **kwargs: Any, ): super().__init__( config=config, log=log, initInputs=initInputs, **kwargs ) assert isinstance(self.config, RegisterSimPipeConfig)
[docs] self.pt_data = fitsio.read( os.path.join( "/work/xiangchong.li/work/hsc_s23b_sim/catalogs/", "tracts_fdfc_v1_trim2_sim.fits", ) )
return
[docs] def runQuantum(self, butlerQC, inputRefs, outputRefs): assert isinstance(self.config, RegisterSimPipeConfig) # Retrieve the filename of the input exposure assert butlerQC.quantum.dataId is not None tract = butlerQC.quantum.dataId["tract"] patch = butlerQC.quantum.dataId["patch"] patch_list = self.pt_data[self.pt_data["tract"] == tract]["patch"] patch_y = int(patch) // 9 patch_x = int(patch) % 9 patch_db = patch_x * 100 + patch_y if patch_db not in patch_list: return band = butlerQC.quantum.dataId["band"] hsc_dir = "/lustre/HSC_DR/hsc_ssp/dr4/s23b/data/s23b_wide/unified/" exp_file_name = glob.glob( os.path.join( hsc_dir, f"deepCoadd_calexp/{tract}/{patch}/{band}/", f"deepCoadd_calexp_{tract}_{patch}_{band}_*.fits", ) ) if len(exp_file_name) > 0: exp_file_name = exp_file_name[0] else: return # raise IOError("Cannot find exposure") exposure = afwImage.ExposureF.readFits(exp_file_name) if exposure.getPsf() is None: return cat_file_name = glob.glob( os.path.join( hsc_dir, f"deepCoadd_meas/{tract}/{patch}/{band}/", f"deepCoadd_meas_{tract}_{patch}_{band}_*.fits", ) ) if len(cat_file_name) > 0: cat_file_name = cat_file_name[0] else: return catalog = afwTable.SourceCatalog.readFits(cat_file_name) outputs = Struct( outputExposure=exposure, outputCatalog=catalog, ) butlerQC.put(outputs, outputRefs) return