Coverage for python/lsst/pipe/tasks/mocks/simpleMapper.py : 89%

# 

# LSST Data Management System 

# Copyright 2008, 2009, 2010, 2011, 2012 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/>. 

# 

"""Mapper and cameraGeom definition for extremely simple mock data. 

SimpleMapper inherits directly from Mapper, not CameraMapper. This means 

we can avoid any problems with paf files at the expense of reimplementing 

some parts of CameraMapper here. Jim is not sure this was the best 

possible approach, but it gave him an opportunity to play around with 

prototyping a future paf-free mapper class, and it does everything it 

needs to do right now. 

""" 

import os 

import shutil 

import re 

import lsst.daf.persistence 

import lsst.afw.cameraGeom 

from lsst.afw.cameraGeom.testUtils import DetectorWrapper 

import lsst.afw.image.utils as afwImageUtils 

import lsst.afw.image as afwImage 

__all__ = ("SimpleMapper", "makeSimpleCamera", "makeDataRepo") 

class PersistenceType: 

"""Base class of a hierarchy used by SimpleMapper to defined different kinds of types of objects 

to persist. 

PersistenceType objects are never instantiated; only the type objects are used (we needed a 

simple singleton struct that could be inherited, which is exactly what a Python type is). 

""" 

python = None 

cpp = "ignored" 

storage = None 

ext = "" 

suffixes = () 

@classmethod 

def makeButlerLocation(cls, path, dataId, mapper, suffix=None, storage=None): 

"""Method called by SimpleMapping to implement a map_ method.""" 

return lsst.daf.persistence.ButlerLocation(cls.python, cls.cpp, cls.storage, [path], dataId, 

mapper=mapper, 

storage=storage) 

def canStandardize(self, datasetType): 

return False 

class BypassPersistenceType(PersistenceType): 

"""Persistence type for things that don't actually use daf_persistence. 

""" 

python = "lsst.daf.base.PropertySet" # something to import even when we don't need to 

@classmethod 

def makeButlerLocation(cls, path, dataId, mapper, suffix=None, storage=None): 

"""Method called by SimpleMapping to implement a map_ method; overridden to not use the path.""" 

return lsst.daf.persistence.ButlerLocation(cls.python, cls.cpp, cls.storage, [], dataId, 

mapper=mapper, storage=storage) 

class ExposurePersistenceType(PersistenceType): 

"""Persistence type of Exposure images. 

""" 

python = "lsst.afw.image.ExposureF" 

cpp = "ExposureF" 

storage = "FitsStorage" 

ext = ".fits" 

suffixes = ("_sub",) 

@classmethod 

def makeButlerLocation(cls, path, dataId, mapper, suffix=None, storage=None): 

"""Method called by SimpleMapping to implement a map_ method; overridden to support subimages.""" 

if suffix is None: 

loc = super(ExposurePersistenceType, cls).makeButlerLocation(path, dataId, mapper, suffix=None, 

storage=storage) 

# Write options are never applicable for _sub, since that's only 

# for read. None of the values aside from the "NONE"s matter, but 

# writing explicit meaningless values for all of them to appease 

# afw is the price we pay for trying to write a non-CameraMapper 

# Mapper. It'll all get better with Gen3 (TM). 

options = { 

"compression.algorithm": "NONE", 

"compression.columns": 0, 

"compression.rows": 0, 

"compression.quantizeLevel": 0.0, 

"scaling.algorithm": "NONE", 

"scaling.bzero": 0.0, 

"scaling.bscale": 0.0, 

"scaling.bitpix": 0, 

"scaling.quantizeLevel": 0.0, 

"scaling.quantizePad": 0.0, 

"scaling.fuzz": False, 

"scaling.seed": 0, 

} 

for prefix in ("image", "mask", "variance"): 

for k, v in options.items(): 

loc.additionalData.set("{}.{}".format(prefix, k), v) 

120 ↛ 132line 120 didn't jump to line 132, because the condition on line 120 was never false elif suffix == "_sub": 

subId = dataId.copy() 

bbox = subId.pop('bbox') 

loc = super(ExposurePersistenceType, cls).makeButlerLocation(path, subId, mapper, suffix=None, 

storage=storage) 

loc.additionalData.set('llcX', bbox.getMinX()) 

loc.additionalData.set('llcY', bbox.getMinY()) 

loc.additionalData.set('width', bbox.getWidth()) 

loc.additionalData.set('height', bbox.getHeight()) 

129 ↛ 130line 129 didn't jump to line 130, because the condition on line 129 was never true if 'imageOrigin' in dataId: 

loc.additionalData.set('imageOrigin', 

dataId['imageOrigin']) 

return loc 

class SkyMapPersistenceType(PersistenceType): 

python = "lsst.skymap.BaseSkyMap" 

storage = "PickleStorage" 

ext = ".pickle" 

class CatalogPersistenceType(PersistenceType): 

python = "lsst.afw.table.BaseCatalog" 

cpp = "BaseCatalog" 

storage = "FitsCatalogStorage" 

ext = ".fits" 

class SimpleCatalogPersistenceType(CatalogPersistenceType): 

python = "lsst.afw.table.SimpleCatalog" 

cpp = "SimpleCatalog" 

class SourceCatalogPersistenceType(SimpleCatalogPersistenceType): 

python = "lsst.afw.table.SourceCatalog" 

cpp = "SourceCatalog" 

class ExposureCatalogPersistenceType(CatalogPersistenceType): 

python = "lsst.afw.table.ExposureCatalog" 

cpp = "ExposureCatalog" 

class PeakCatalogPersistenceType(CatalogPersistenceType): 

python = "lsst.afw.detection.PeakCatalog" 

cpp = "PeakCatalog" 

class SimpleMapping: 

"""Mapping object used to implement SimpleMapper, similar in intent to lsst.daf.peristence.Mapping. 

""" 

template = None 

keys = {} 

def __init__(self, persistence, template=None, keys=None): 

self.persistence = persistence 

if template is not None: 

self.template = template 

if keys is not None: 

self.keys = keys 

def map(self, dataset, root, dataId, mapper, suffix=None, storage=None): 

if self.template is not None: 

path = self.template.format(dataset=dataset, ext=self.persistence.ext, **dataId) 

else: 

path = None 

return self.persistence.makeButlerLocation(path, dataId, suffix=suffix, mapper=mapper, 

storage=storage) 

class RawMapping(SimpleMapping): 

"""Mapping for dataset types that are organized the same way as raw data (i.e. by CCD).""" 

template = "{dataset}-{visit:04d}-{ccd:01d}{ext}" 

keys = dict(visit=int, ccd=int) 

def query(self, dataset, index, level, format, dataId): 

dictList = index[dataset][level] 

results = [list(d.values()) for d in dictList[dataId.get(level, None)]] 

return results 

class SkyMapping(SimpleMapping): 

"""Mapping for dataset types that are organized according to a SkyMap subdivision of the sky.""" 

template = "{dataset}-{filter}-{tract:02d}-{patch}{ext}" 

keys = dict(filter=str, tract=int, patch=str) 

class TempExpMapping(SimpleMapping): 

"""Mapping for CoaddTempExp datasets.""" 

template = "{dataset}-{tract:02d}-{patch}-{visit:04d}{ext}" 

keys = dict(tract=int, patch=str, visit=int) 

class ForcedSrcMapping(RawMapping): 

"""Mapping for forced_src datasets.""" 

template = "{dataset}-{tract:02d}-{visit:04d}-{ccd:01d}{ext}" 

keys = dict(tract=int, ccd=int, visit=int) 

class MapperMeta(type): 

"""Metaclass for SimpleMapper that creates map_ and query_ methods for everything found in the 

'mappings' class variable. 

""" 

@staticmethod 

def _makeMapClosure(dataset, mapping, suffix=None): 

def mapClosure(self, dataId, write=False): 

return mapping.map(dataset, self.root, dataId, self, suffix=suffix, storage=self.storage) 

return mapClosure 

@staticmethod 

def _makeQueryClosure(dataset, mapping): 

def queryClosure(self, level, format, dataId): 

return mapping.query(dataset, self.index, level, format, dataId) 

return queryClosure 

def __init__(cls, name, bases, dict_): # noqa allow "cls" instead of "self" 

type.__init__(cls, name, bases, dict_) 

cls.keyDict = dict() 

for dataset, mapping in cls.mappings.items(): 

setattr(cls, "map_" + dataset, MapperMeta._makeMapClosure(dataset, mapping, suffix=None)) 

for suffix in mapping.persistence.suffixes: 

setattr(cls, "map_" + dataset + suffix, 

MapperMeta._makeMapClosure(dataset, mapping, suffix=suffix)) 

if hasattr(mapping, "query"): 

setattr(cls, "query_" + dataset, MapperMeta._makeQueryClosure(dataset, mapping)) 

cls.keyDict.update(mapping.keys) 

class SimpleMapper(lsst.daf.persistence.Mapper, metaclass=MapperMeta): 

""" 

An extremely simple mapper for an imaginary camera for use in integration tests. 

As SimpleMapper does not inherit from obs.base.CameraMapper, it does not 

use a policy file to set mappings or a registry; all the information is here 

(in the map_* and query_* methods). 

The imaginary camera's raw data format has only 'visit' and 'ccd' keys, with 

two CCDs per visit (by default). 

""" 

mappings = dict( 

calexp=RawMapping(ExposurePersistenceType), 

forced_src=ForcedSrcMapping(SourceCatalogPersistenceType), 

forced_src_schema=SimpleMapping(SourceCatalogPersistenceType, 

template="{dataset}{ext}", keys={}), 

truth=SimpleMapping(SimpleCatalogPersistenceType, template="{dataset}-{tract:02d}{ext}", 

keys={"tract": int}), 

simsrc=RawMapping(SimpleCatalogPersistenceType, template="{dataset}-{tract:02d}{ext}", 

keys={"tract": int}), 

observations=SimpleMapping(ExposureCatalogPersistenceType, template="{dataset}-{tract:02d}{ext}", 

keys={"tract": int}), 

ccdExposureId=RawMapping(BypassPersistenceType), 

ccdExposureId_bits=SimpleMapping(BypassPersistenceType), 

deepCoaddId=SkyMapping(BypassPersistenceType), 

deepCoaddId_bits=SimpleMapping(BypassPersistenceType), 

deepMergedCoaddId=SkyMapping(BypassPersistenceType), 

deepMergedCoaddId_bits=SimpleMapping(BypassPersistenceType), 

deepCoadd_skyMap=SimpleMapping(SkyMapPersistenceType, template="{dataset}{ext}", keys={}), 

deepCoadd=SkyMapping(ExposurePersistenceType), 

deepCoaddPsfMatched=SkyMapping(ExposurePersistenceType), 

deepCoadd_calexp=SkyMapping(ExposurePersistenceType), 

deepCoadd_calexp_background=SkyMapping(CatalogPersistenceType), 

deepCoadd_icSrc=SkyMapping(SourceCatalogPersistenceType), 

deepCoadd_icSrc_schema=SimpleMapping(SourceCatalogPersistenceType, 

template="{dataset}{ext}", keys={}), 

deepCoadd_src=SkyMapping(SourceCatalogPersistenceType), 

deepCoadd_src_schema=SimpleMapping(SourceCatalogPersistenceType, 

template="{dataset}{ext}", keys={}), 

deepCoadd_peak_schema=SimpleMapping(PeakCatalogPersistenceType, 

template="{dataset}{ext}", keys={}), 

deepCoadd_ref=SkyMapping(SourceCatalogPersistenceType), 

deepCoadd_ref_schema=SimpleMapping(SourceCatalogPersistenceType, 

template="{dataset}{ext}", keys={}), 

deepCoadd_det=SkyMapping(SourceCatalogPersistenceType), 

deepCoadd_det_schema=SimpleMapping(SourceCatalogPersistenceType, 

template="{dataset}{ext}", keys={}), 

deepCoadd_mergeDet=SkyMapping(SourceCatalogPersistenceType), 

deepCoadd_mergeDet_schema=SimpleMapping(SourceCatalogPersistenceType, 

template="{dataset}{ext}", keys={}), 

deepCoadd_deblendedFlux=SkyMapping(SourceCatalogPersistenceType), 

deepCoadd_deblendedFlux_schema=SimpleMapping(SourceCatalogPersistenceType, 

template="{dataset}{ext}", keys={}), 

deepCoadd_deblendedModel=SkyMapping(SourceCatalogPersistenceType), 

deepCoadd_deblendedModel_schema=SimpleMapping(SourceCatalogPersistenceType, 

template="{dataset}{ext}", keys={}), 

deepCoadd_meas=SkyMapping(SourceCatalogPersistenceType), 

deepCoadd_meas_schema=SimpleMapping(SourceCatalogPersistenceType, 

template="{dataset}{ext}", keys={}), 

deepCoadd_forced_src=SkyMapping(SourceCatalogPersistenceType), 

deepCoadd_forced_src_schema=SimpleMapping(SourceCatalogPersistenceType, 

template="{dataset}{ext}", keys={}), 

deepCoadd_mock=SkyMapping(ExposurePersistenceType), 

deepCoaddPsfMatched_mock=SkyMapping(ExposurePersistenceType), 

deepCoadd_directWarp=TempExpMapping(ExposurePersistenceType), 

deepCoadd_directWarp_mock=TempExpMapping(ExposurePersistenceType), 

deepCoadd_psfMatchedWarp=TempExpMapping(ExposurePersistenceType), 

deepCoadd_psfMatchedWarp_mock=TempExpMapping(ExposurePersistenceType), 

) 

levels = dict( 

visit=['ccd'], 

ccd=[], 

) 

def __init__(self, root, **kwargs): 

self.storage = lsst.daf.persistence.Storage.makeFromURI(root) 

super(SimpleMapper, self).__init__(**kwargs) 

self.root = root 

self.camera = makeSimpleCamera(nX=1, nY=2, sizeX=400, sizeY=200, gapX=2, gapY=2) 

afwImageUtils.defineFilter('r', 619.42) 

self.update() 

def getDefaultLevel(self): 

return "ccd" 

def getKeys(self, datasetType, level): 

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keyDict = self.keyDict 

else: 

keyDict = self.mappings[datasetType].keys 

346 ↛ 347line 346 didn't jump to line 347, because the condition on line 346 was never true if level is not None and level in self.levels: 

keyDict = dict(keyDict) 

for l in self.levels[level]: 

if l in keyDict: 

del keyDict[l] 

return keyDict 

def update(self): 

filenames = os.listdir(self.root) 

rawRegex = re.compile(r"(?P<dataset>\w+)-(?P<visit>\d+)-(?P<ccd>\d).*") 

self.index = {} 

for filename in filenames: 

m = rawRegex.match(filename) 

if not m: 

continue 

index = self.index.setdefault(m.group('dataset'), dict(ccd={None: []}, visit={None: []})) 

visit = int(m.group('visit')) 

ccd = int(m.group('ccd')) 

d1 = dict(visit=visit, ccd=ccd) 

d2 = dict(visit=visit) 

index['ccd'].setdefault(visit, []).append(d1) 

index['ccd'][None].append(d1) 

index['visit'][visit] = [d2] 

index['visit'][None].append(d1) 

def keys(self): 

return self.keyDict 

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

return self.camera 

def map_camera(self, dataId, write=False): 

return lsst.daf.persistence.ButlerLocation( 

"lsst.afw.cameraGeom.Camera", "Camera", None, [], dataId, mapper=self, storage=self.storage 

) 

def std_calexp(self, item, dataId): 

detectorId = dataId["ccd"] 

detector = self.camera[detectorId] 

item.setDetector(detector) 

item.setFilter(afwImage.Filter("r")) 

return item 

def _computeCcdExposureId(self, dataId): 

return int(dataId["visit"]) * 10 + int(dataId["ccd"]) 

def _computeCoaddId(self, dataId): 

# Note: for real IDs, we'd want to include filter here, but it doesn't actually matter 

# for any of the tests we've done so far, which all assume filter='r' 

tract = int(dataId['tract']) 

396 ↛ 397line 396 didn't jump to line 397, because the condition on line 396 was never true if tract < 0 or tract >= 128: 

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

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

for p in (patchX, patchY): 

400 ↛ 401line 400 didn't jump to line 401, because the condition on line 400 was never true if p < 0 or p >= 2**13: 

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

return (tract * 2**13 + patchX) * 2**13 + patchY 

@staticmethod 

def splitCcdExposureId(ccdExposureId): 

return dict(visit=(int(ccdExposureId) // 10), ccd=(int(ccdExposureId) % 10)) 

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

return self._computeCcdExposureId(dataId) 

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

return 32 

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

return self._computeCoaddId(dataId) 

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

return 1 + 7 + 13*2 + 3 

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

return self._computeCoaddId(dataId) 

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

return 1 + 7 + 13*2 + 3 

def makeSimpleCamera( 

nX, nY, 

sizeX, sizeY, 

gapX, gapY, 

pixelSize=1.0, 

plateScale=20.0, 

radialDistortion=0.925, 

): 

"""Create a camera 

@param[in] nx: number of detectors in x 

@param[in] ny: number of detectors in y 

@param[in] sizeX: detector size in x (pixels) 

@param[in] sizeY: detector size in y (pixels) 

@param[in] gapX: gap between detectors in x (mm) 

@param[in] gapY: gap between detectors in y (mm) 

@param[in] pixelSize: pixel size (mm) (a float) 

@param[in] plateScale: plate scale in arcsec/mm; 20.0 is for LSST 

@param[in] radialDistortion: radial distortion, in mm/rad^2 

(the r^3 coefficient of the radial distortion polynomial 

that converts FIELD_ANGLE in radians to FOCAL_PLANE in mm); 

0.925 is the value Dave Monet measured for lsstSim data 

Each detector will have one amplifier (with no raw information). 

""" 

pScaleRad = lsst.afw.geom.arcsecToRad(plateScale) 

radialDistortCoeffs = [0.0, 1.0/pScaleRad, 0.0, radialDistortion/pScaleRad] 

focalPlaneToFieldAngle = lsst.afw.geom.makeRadialTransform(radialDistortCoeffs) 

nativeSys = lsst.afw.cameraGeom.FOCAL_PLANE 

transforms = { 

lsst.afw.cameraGeom.FIELD_ANGLE: focalPlaneToFieldAngle, 

} 

transformMap = lsst.afw.cameraGeom.TransformMap(nativeSys, transforms) 

detectorList = [] 

ccdBBox = lsst.afw.geom.Box2I(lsst.afw.geom.Point2I(), lsst.afw.geom.Extent2I(sizeX, sizeY)) 

for iY in range(nY): 

cY = (iY - 0.5 * (nY - 1)) * (pixelSize * sizeY + gapY) 

for iX in range(nX): 

cX = (iX - 0.5 * (nX - 1)) * (pixelSize * sizeY + gapX) 

fpPos = lsst.afw.geom.Point2D(cX, cY) 

detectorName = "detector %d,%d" % (iX, iY) 

detectorId = len(detectorList) + 1 

detectorList.append(DetectorWrapper( 

name=detectorName, 

id=detectorId, 

serial=detectorName + " serial", 

bbox=ccdBBox, 

ampExtent=ccdBBox.getDimensions(), 

numAmps=1, 

pixelSize=lsst.afw.geom.Extent2D(pixelSize, pixelSize), 

orientation=lsst.afw.cameraGeom.Orientation(fpPos), 

plateScale=plateScale, 

radialDistortion=radialDistortion, 

).detector) 

return lsst.afw.cameraGeom.Camera( 

name="Simple Camera", 

detectorList=detectorList, 

transformMap=transformMap, 

) 

def makeDataRepo(root): 

""" 

Create a data repository for SimpleMapper and return a butler for it. 

Clobbers anything already in the given path. 

""" 

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shutil.rmtree(root) 

os.makedirs(root) 

with open(os.path.join(root, "_mapper"), "w") as f: 

f.write("lsst.pipe.tasks.mocks.SimpleMapper\n") 

return lsst.daf.persistence.Butler(root=root)