Coverage for tests/test_diaForcedSource.py: 18%
106 statements
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« prev ^ index » next coverage.py v7.2.5, created at 2023-05-14 15:51 -0700
1# This file is part of ap_association.
2#
3# Developed for the LSST Data Management System.
4# This product includes software developed by the LSST Project
5# (https://www.lsst.org).
6# See the COPYRIGHT file at the top-level directory of this distribution
7# for details of code ownership.
8#
9# This program is free software: you can redistribute it and/or modify
10# it under the terms of the GNU General Public License as published by
11# the Free Software Foundation, either version 3 of the License, or
12# (at your option) any later version.
13#
14# This program is distributed in the hope that it will be useful,
15# but WITHOUT ANY WARRANTY; without even the implied warranty of
16# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
17# GNU General Public License for more details.
18#
19# You should have received a copy of the GNU General Public License
20# along with this program. If not, see <https://www.gnu.org/licenses/>.
22import numpy as np
23import pandas as pd
24import unittest
25import unittest.mock
27import pandas
29from lsst.afw.cameraGeom.testUtils import DetectorWrapper
30import lsst.afw.geom as afwGeom
31import lsst.afw.image as afwImage
32import lsst.daf.base as dafBase
33import lsst.meas.algorithms as measAlg
34from lsst.ap.association import DiaForcedSourceTask
35import lsst.utils.tests
38def create_test_dia_objects(n_points, wcs, startPos=100):
39 """Create dummy DIASources or DIAObjects for use in our tests.
41 Parameters
42 ----------
43 n_points : `int`
44 Number of DiaObject test points to create.
45 wcs : `lsst.afw.geom.SkyWcs`
46 Wcs to convert RA/Dec to pixel x/y.
47 startPos : `int`
48 Start position to iterate from when creating test DiaObjects
50 Returns
51 -------
52 test_points : `pandas.DataFrame`
53 Catalog of points to test.
54 """
55 ids = np.arange(n_points, dtype=np.int64)
56 points = [wcs.pixelToSky(startPos + src_idx, startPos + src_idx) for src_idx in ids]
57 ra = np.array([point.getRa().asDegrees() for point in points], dtype=float)
58 decl = np.array([point.getDec().asDegrees() for point in points], dtype=float)
60 objects = pandas.DataFrame({
61 "diaObjectId": ids,
62 "ra": ra,
63 "decl": decl
64 })
66 return objects
69class TestDiaForcedSource(unittest.TestCase):
71 def setUp(self):
72 # metadata taken from CFHT data
73 # v695856-e0/v695856-e0-c000-a00.sci_img.fits
74 self.metadata = dafBase.PropertySet()
76 self.metadata.set("SIMPLE", "T")
77 self.metadata.set("BITPIX", -32)
78 self.metadata.set("NAXIS", 2)
79 self.metadata.set("NAXIS1", 1024)
80 self.metadata.set("NAXIS2", 1153)
81 self.metadata.set("RADECSYS", 'FK5')
82 self.metadata.set("EQUINOX", 2000.)
84 self.metadata.setDouble("CRVAL1", 215.604025685476)
85 self.metadata.setDouble("CRVAL2", 53.1595451514076)
86 self.metadata.setDouble("CRPIX1", 1109.99981456774)
87 self.metadata.setDouble("CRPIX2", 560.018167811613)
88 self.metadata.set("CTYPE1", 'RA---SIN')
89 self.metadata.set("CTYPE2", 'DEC--SIN')
91 self.metadata.setDouble("CD1_1", 5.10808596133527E-05)
92 self.metadata.setDouble("CD1_2", 1.85579539217196E-07)
93 self.metadata.setDouble("CD2_2", -5.10281493481982E-05)
94 self.metadata.setDouble("CD2_1", -8.27440751733828E-07)
96 self.wcs = afwGeom.makeSkyWcs(self.metadata)
98 self.calibration = 10000
99 self.calibrationErr = 100
100 self.exposureId = 1234
101 self.exposureTime = 200.
102 self.imageSize = [1024, 1153]
103 self.dateTime = "2014-05-13T17:00:00.000000000"
105 # Make images with one source in them and distinct values and
106 # variance for each image.
107 # Direct Image
108 source_image = afwImage.MaskedImageF(
109 lsst.geom.ExtentI(self.imageSize[0] + 1, self.imageSize[1] + 1))
110 source_image.image[100, 100, afwImage.LOCAL] = 10
111 source_image.getVariance().set(1)
112 bbox = lsst.geom.BoxI(
113 lsst.geom.PointI(1, 1),
114 lsst.geom.ExtentI(self.imageSize[0],
115 self.imageSize[1]))
116 masked_image = afwImage.MaskedImageF(source_image, bbox, afwImage.LOCAL)
117 self.exposure = afwImage.makeExposure(masked_image, self.wcs)
119 detector = DetectorWrapper(
120 id=23, bbox=self.exposure.getBBox()).detector
121 visit = afwImage.VisitInfo(
122 exposureId=self.exposureId,
123 exposureTime=self.exposureTime,
124 date=dafBase.DateTime(self.dateTime,
125 dafBase.DateTime.Timescale.TAI))
126 self.exposure.info.id = self.exposureId
127 self.exposure.setDetector(detector)
128 self.exposure.getInfo().setVisitInfo(visit)
129 self.exposure.setFilter(afwImage.FilterLabel(band='g', physical='g.MP9401'))
130 self.exposure.setPhotoCalib(afwImage.PhotoCalib(self.calibration, self.calibrationErr))
132 # Difference Image
133 source_image = afwImage.MaskedImageF(
134 lsst.geom.ExtentI(self.imageSize[0] + 1, self.imageSize[1] + 1))
135 source_image.image[100, 100, afwImage.LOCAL] = 20
136 source_image.getVariance().set(2)
137 bbox = lsst.geom.BoxI(
138 lsst.geom.PointI(1, 1),
139 lsst.geom.ExtentI(self.imageSize[0],
140 self.imageSize[1]))
141 masked_image = afwImage.MaskedImageF(source_image, bbox, afwImage.LOCAL)
142 self.diffim = afwImage.makeExposure(masked_image, self.wcs)
143 self.diffim.info.id = self.exposureId
144 self.diffim.setDetector(detector)
145 self.diffim.getInfo().setVisitInfo(visit)
146 self.diffim.setFilter(afwImage.FilterLabel(band='g', physical='g.MP9401'))
147 self.diffim.setPhotoCalib(afwImage.PhotoCalib(self.calibration, self.calibrationErr))
149 self.expIdBits = 16
151 FWHM = 5
152 psf = measAlg.DoubleGaussianPsf(15, 15, FWHM/(2*np.sqrt(2*np.log(2))))
153 self.exposure.setPsf(psf)
154 self.diffim.setPsf(psf)
156 self.testDiaObjects = create_test_dia_objects(5, self.wcs)
157 # Add additional diaObjects that are outside of the above difference
158 # and calexp visit images.
159 objects = [
160 (10000000, self.wcs.pixelToSky(-100000, -100000)), # xy outside
161 (10000001, self.wcs.pixelToSky(100, -100000)), # y outside
162 (10000002, self.wcs.pixelToSky(-100000, 100)), # x outside
163 ]
164 extra = pandas.DataFrame({
165 "diaObjectId": np.array([id for id, point in objects], dtype=np.int64),
166 "ra": [point.getRa().asDegrees() for id, point in objects],
167 "decl": [point.getDec().asDegrees() for id, point in objects]
168 })
169 self.testDiaObjects = pd.concat([self.testDiaObjects, extra], ignore_index=True)
170 # Ids of objects that were "updated" during "ap_association"
171 # processing.
172 self.updatedTestIds = np.array([1, 2, 3, 4, 10000001], dtype=np.uint64)
173 # Expecdted number of sources is the number of updated ids plus
174 # any that are within the CCD footprint but are not in the
175 # above list of ids.
176 self.expectedDiaForcedSources = 6
178 self.expected_n_columns = 11
180 def testRun(self):
181 """Test that forced source catalogs are successfully created and have
182 sensible values.
183 """
184 test_objects = self.testDiaObjects.copy()
185 test_objects.set_index("diaObjectId", inplace=True, drop=False)
186 dfs = DiaForcedSourceTask()
187 dia_forced_sources = dfs.run(
188 test_objects, self.updatedTestIds, self.expIdBits, self.exposure, self.diffim)
190 direct_values = [199854.48417094944, 160097.40719241602,
191 82299.17897267535, 27148.604434624354,
192 5746.988388215507]
193 direct_var = [75240.939811168, 75231.42933749466,
194 75218.89495113207, 75214.88248249644,
195 75214.41447602339]
196 diff_values = [399708.9683418989, 320194.81438483205,
197 164598.3579453507, 54297.20886924871,
198 11493.976776431015]
199 diff_var = [106444.28782374493, 106417.39592887461,
200 106381.94840437356, 106370.59980584883,
201 106369.27608815048]
203 # Should be number of test objects minus one as one object is purposely
204 # outside of the ccd area.
205 self.assertEqual(len(dia_forced_sources), self.expectedDiaForcedSources)
206 self.assertEqual(len(dia_forced_sources.columns),
207 self.expected_n_columns)
209 for (diaFS_id, diaFS), dirVal, diffVal, dirVar, diffVar in zip(dia_forced_sources.iterrows(),
210 direct_values,
211 diff_values,
212 direct_var,
213 diff_var):
214 self.assertAlmostEqual(diaFS["psFlux"] / diffVal, 1.)
215 self.assertAlmostEqual(diaFS["psFluxErr"] / diffVar, 1.)
217 self.assertAlmostEqual(diaFS["totFlux"] / dirVal, 1.)
218 self.assertAlmostEqual(diaFS["totFluxErr"] / dirVar, 1.)
220 self.assertEqual(diaFS["ccdVisitId"], self.exposureId)
223class MemoryTester(lsst.utils.tests.MemoryTestCase):
224 pass
227def setup_module(module):
228 lsst.utils.tests.init()
231if __name__ == "__main__": 231 ↛ 232line 231 didn't jump to line 232, because the condition on line 231 was never true
232 lsst.utils.tests.init()
233 unittest.main()