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# 

# LSST Data Management System 

# Copyright 2008, 2009, 2010 LSST Corporation. 

# 

# This product includes software developed by the 

# LSST Project (http://www.lsst.org/). 

# 

# 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 LSST License Statement and 

# the GNU General Public License along with this program. If not, 

# see <http://www.lsstcorp.org/LegalNotices/>. 

# 

 

import os 

import re 

 

import lsst.daf.persistence as dafPersist 

from lsst.obs.base import CameraMapper, exposureFromImage 

from lsst.obs.sdss.convertfpM import convertfpM 

from lsst.obs.sdss.convertpsField import convertpsField 

from lsst.obs.sdss.convertasTrans import convertasTrans 

from lsst.obs.sdss.converttsField import converttsField 

import lsst.afw.image.utils as afwImageUtils 

 

 

class SdssMapper(CameraMapper): 

packageName = 'obs_sdss' 

 

def __init__(self, inputPolicy=None, **kwargs): 

policyFile = dafPersist.Policy.defaultPolicyFile(self.packageName, "SdssMapper.yaml", "policy") 

policy = dafPersist.Policy(policyFile) 

 

self.doFootprints = False 

43 ↛ 44line 43 didn't jump to line 44, because the condition on line 43 was never true if inputPolicy is not None: 

for kw in inputPolicy.paramNames(True): 

if kw == "doFootprints": 

self.doFootprints = True 

else: 

kwargs[kw] = inputPolicy.get(kw) 

 

super(SdssMapper, self).__init__(policy, os.path.dirname(policyFile), **kwargs) 

# define filters? 

self.filterIdMap = dict(u=0, g=1, r=2, i=3, z=4) 

 

afwImageUtils.defineFilter('u', lambdaEff=380) 

afwImageUtils.defineFilter('g', lambdaEff=450) 

afwImageUtils.defineFilter('r', lambdaEff=600) 

afwImageUtils.defineFilter('i', lambdaEff=770) 

afwImageUtils.defineFilter('z', lambdaEff=900) 

 

def _computeCcdExposureId(self, dataId): 

"""Compute the 64-bit (long) identifier for a CCD exposure. 

 

@param dataId (dict) Data identifier with run, rerun, filter, camcol, field 

""" 

return ((int(dataId['run']) * 10 + 

self.filterIdMap[dataId['filter']]) * 10 + 

dataId['camcol']) * 10000 + dataId['field'] 

 

def _computeCoaddExposureId(self, dataId, singleFilter): 

"""Compute the 64-bit (long) identifier for a coadd. 

 

@param dataId (dict) Data identifier with tract and patch. 

@param singleFilter (bool) True means the desired ID is for a single- 

filter coadd, in which case dataId 

must contain filter. 

""" 

tract = int(dataId['tract']) 

78 ↛ 79line 78 didn't jump to line 79, because the condition on line 78 was never true if tract < 0 or tract >= 128: 

raise RuntimeError('tract not in range [0,128)') 

patchX, patchY = [int(n) for n in dataId['patch'].split(',')] 

for p in (patchX, patchY): 

82 ↛ 83line 82 didn't jump to line 83, because the condition on line 82 was never true if p < 0 or p >= 2**13: 

raise RuntimeError('patch component not in range [0, 8192)') 

id = (tract * 2**13 + patchX) * 2**13 + patchY 

85 ↛ 87line 85 didn't jump to line 87, because the condition on line 85 was never false if singleFilter: 

return id * 8 + self.filterIdMap[dataId['filter']] 

return id 

 

def _setCcdExposureId(self, propertyList, dataId): 

propertyList.set("Computed_ccdExposureId", self._computeCcdExposureId(dataId)) 

return propertyList 

 

def _standardizeExposure(self, mapping, item, dataId, filter=True, 

trimmed=True): 

"""Default standardization function for images. 

@param mapping (lsst.obs.base.Mapping) 

@param[in,out] item (lsst.afw.image.Exposure) 

@param dataId (dict) Dataset identifier 

@param filter (bool) Set filter? 

@param trimmed (bool) Should detector be marked as trimmed? 

@return (lsst.afw.image.Exposure) the standardized Exposure""" 

 

if (re.search(r'Exposure', mapping.python) and re.search(r'Image', mapping.persistable)): 

item = exposureFromImage(item, logger=self.log) 

return item 

 

############################################################################### 

 

def bypass_fpM(self, datasetType, pythonType, location, dataId): 

return convertfpM(location.getLocationsWithRoot()[0]) 

 

def bypass_psField(self, datasetType, pythonType, location, dataId): 

return convertpsField(location.getLocationsWithRoot()[0], dataId['filter']) 

 

def bypass_asTrans(self, datasetType, pythonType, location, dataId): 

return convertasTrans(location.getLocationsWithRoot()[0], dataId['filter'], 

dataId['camcol'], dataId['field']) 

 

def bypass_tsField(self, datasetType, pythonType, location, dataId): 

return converttsField(location.getLocationsWithRoot()[0], dataId['filter']) 

 

def bypass_ccdExposureId(self, datasetType, pythonType, location, dataId): 

return self._computeCcdExposureId(dataId) 

 

def bypass_ccdExposureId_bits(self, datasetType, pythonType, location, dataId): 

return 38 

 

def bypass_deepCoaddId(self, datasetType, pythonType, location, dataId): 

return self._computeCoaddExposureId(dataId, True) 

 

def bypass_deepCoaddId_bits(self, datasetType, pythonType, location, dataId): 

return 1 + 7 + 13*2 + 3 

 

# Keith coadds use run, camcol, field, filter just like CCD exposures 

bypass_keithCoaddId = bypass_ccdExposureId 

bypass_keithCoaddId_bits = bypass_ccdExposureId_bits 

 

 

############################################################################### 

 

 

for dsType in ("fpC", "fpM", "calexp"): 

setattr(SdssMapper, "std_" + dsType + "_md", 

lambda self, item, dataId: self._setCcdExposureId(item, dataId))