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# This file is part of daf_butler. 

# 

# Developed for the LSST Data Management System. 

# This product includes software developed by the LSST Project 

# (http://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 <http://www.gnu.org/licenses/>. 

 

import os 

import unittest 

 

import lsst.utils.tests 

 

from lsst.daf.butler.core.butlerConfig import ButlerConfig 

from lsst.daf.butler.core.datasets import DatasetType 

from lsst.daf.butler.core.registry import Registry 

from lsst.daf.butler.core.storageClass import StorageClass 

from lsst.sphgeom import Angle, Box, LonLat, NormalizedAngle 

 

 

class SqlPreFlightTestCase(lsst.utils.tests.TestCase): 

"""Test for SqlPreFlight. 

""" 

 

def setUp(self): 

self.testDir = os.path.dirname(__file__) 

self.configFile = os.path.join(self.testDir, "config/basic/butler.yaml") 

# easiest way to make SqlPreFlight instance is to ask SqlRegistry to do it 

self.butlerConfig = ButlerConfig(self.configFile) 

self.registry = Registry.fromConfig(self.butlerConfig) 

self.preFlight = self.registry._preFlight 

 

def testPreFlightCameraUnits(self): 

"""Test involving only Camera units, no joins to SkyMap""" 

registry = self.registry 

 

# need a bunch of units and datasets for test 

registry.addDataUnitEntry("Camera", dict(camera="DummyCam")) 

registry.addDataUnitEntry("PhysicalFilter", dict(camera="DummyCam", 

physical_filter="dummy_r", 

abstract_filter="r")) 

registry.addDataUnitEntry("PhysicalFilter", dict(camera="DummyCam", 

physical_filter="dummy_i", 

abstract_filter="i")) 

for sensor in (1, 2, 3, 4, 5): 

registry.addDataUnitEntry("Sensor", dict(camera="DummyCam", sensor=sensor)) 

registry.addDataUnitEntry("Visit", dict(camera="DummyCam", visit=10, physical_filter="dummy_i")) 

registry.addDataUnitEntry("Visit", dict(camera="DummyCam", visit=11, physical_filter="dummy_r")) 

registry.addDataUnitEntry("Exposure", dict(camera="DummyCam", exposure=100, visit=10, 

physical_filter="dummy_i")) 

registry.addDataUnitEntry("Exposure", dict(camera="DummyCam", exposure=101, visit=10, 

physical_filter="dummy_i")) 

registry.addDataUnitEntry("Exposure", dict(camera="DummyCam", exposure=110, visit=11, 

physical_filter="dummy_r")) 

registry.addDataUnitEntry("Exposure", dict(camera="DummyCam", exposure=111, visit=11, 

physical_filter="dummy_r")) 

 

# dataset types 

run = registry.makeRun(collection="test") 

storageClass = StorageClass("testDataset") 

registry.storageClasses.registerStorageClass(storageClass) 

rawType = DatasetType(name="RAW", dataUnits=("Camera", "Exposure", "Sensor"), 

storageClass=storageClass) 

registry.registerDatasetType(rawType) 

calexpType = DatasetType(name="CALEXP", dataUnits=("Camera", "Visit", "Sensor"), 

storageClass=storageClass) 

registry.registerDatasetType(calexpType) 

 

# add pre-existing datasets 

for exposure in (100, 101, 110, 111): 

for sensor in (1, 2, 3): 

# note that only 3 of 5 sensors have datasets 

dataId = dict(camera="DummyCam", exposure=exposure, sensor=sensor) 

registry.addDataset(rawType, dataId=dataId, run=run) 

 

# with empty expression 

headers, rows = self.preFlight.selectDataUnits(collections=["test"], expr="", 

neededDatasetTypes=[rawType], 

futureDatasetTypes=[calexpType]) 

# order of columns is not defined 

self.assertCountEqual(headers, (("Camera", "camera"), 

("Sensor", "sensor"), 

("Exposure", "exposure"), 

("Visit", "visit"))) 

rows = list(rows) 

self.assertEqual(len(rows), 4*3) # 4 exposures times 3 sensors 

 

# limit to single visit 

headers, rows = self.preFlight.selectDataUnits(collections=["test"], 

expr="Visit.visit = 10", 

neededDatasetTypes=[rawType], 

futureDatasetTypes=[calexpType]) 

self.assertEqual(len(headers), 4) # headers must be the same 

rows = list(rows) 

self.assertEqual(len(rows), 2*3) # 2 exposures times 3 sensors 

 

# expression excludes everyhting 

headers, rows = self.preFlight.selectDataUnits(collections=["test"], 

expr="Visit.visit = 10 and Sensor.sensor > 1", 

neededDatasetTypes=[rawType], 

futureDatasetTypes=[calexpType]) 

self.assertEqual(len(headers), 4) # headers must be the same 

rows = list(rows) 

self.assertEqual(len(rows), 2*2) # 2 exposures times 2 sensors 

 

# expression excludes everyhting 

headers, rows = self.preFlight.selectDataUnits(collections=["test"], 

expr="Visit.visit > 1000", 

neededDatasetTypes=[rawType], 

futureDatasetTypes=[calexpType]) 

self.assertEqual(len(headers), 4) # headers must be the same 

rows = list(rows) 

self.assertEqual(len(rows), 0) 

 

# Selecting by PhysicalFilter, this should be done via 

# PhysicalFilter.physical_filter but that is not supported currently, 

# instead we can do Visit.physical_filter (or Exposure.physical_filter) 

headers, rows = self.preFlight.selectDataUnits(collections=["test"], 

expr="Visit.physical_filter = 'dummy_r'", 

neededDatasetTypes=[rawType], 

futureDatasetTypes=[calexpType]) 

self.assertEqual(len(headers), 4) # headers must be the same 

rows = list(rows) 

self.assertEqual(len(rows), 2*3) # 2 exposures times 3 sensors 

 

def testPreFlightSkyMapUnits(self): 

"""Test involving only SkyMap units, no joins to Camera""" 

registry = self.registry 

 

# need a bunch of units and datasets for test, we want "AbstractFilter" 

# in the test so also have to add PhysicalFilter units 

registry.addDataUnitEntry("Camera", dict(camera="DummyCam")) 

registry.addDataUnitEntry("PhysicalFilter", dict(camera="DummyCam", 

physical_filter="dummy_r", 

abstract_filter="r")) 

registry.addDataUnitEntry("PhysicalFilter", dict(camera="DummyCam", 

physical_filter="dummy_i", 

abstract_filter="i")) 

registry.addDataUnitEntry("SkyMap", dict(skymap="DummyMap", hash="sha!")) 

for tract in range(10): 

registry.addDataUnitEntry("Tract", dict(skymap="DummyMap", tract=tract)) 

for patch in range(10): 

registry.addDataUnitEntry("Patch", dict(skymap="DummyMap", tract=tract, patch=patch, 

cell_x=0, cell_y=0, 

region=Box(LonLat(NormalizedAngle(0.), Angle(0.))))) 

 

# dataset types 

run = registry.makeRun(collection="test") 

storageClass = StorageClass("testDataset") 

registry.storageClasses.registerStorageClass(storageClass) 

calexpType = DatasetType(name="deepCoadd_calexp", dataUnits=("SkyMap", "Tract", "Patch", 

"AbstractFilter"), 

storageClass=storageClass) 

registry.registerDatasetType(calexpType) 

mergeType = DatasetType(name="deepCoadd_mergeDet", dataUnits=("SkyMap", "Tract", "Patch"), 

storageClass=storageClass) 

registry.registerDatasetType(mergeType) 

measType = DatasetType(name="deepCoadd_meas", dataUnits=("SkyMap", "Tract", "Patch", 

"AbstractFilter"), 

storageClass=storageClass) 

registry.registerDatasetType(measType) 

 

# add pre-existing datasets 

for tract in (1, 3, 5): 

for patch in (2, 4, 6, 7): 

dataId = dict(skymap="DummyMap", tract=tract, patch=patch) 

registry.addDataset(mergeType, dataId=dataId, run=run) 

for aFilter in ("i", "r"): 

dataId = dict(skymap="DummyMap", tract=tract, patch=patch, abstract_filter=aFilter) 

registry.addDataset(calexpType, dataId=dataId, run=run) 

 

# with empty expression 

headers, rows = self.preFlight.selectDataUnits(collections=["test"], expr="", 

neededDatasetTypes=[calexpType, mergeType], 

futureDatasetTypes=[measType]) 

# order of columns is not defined 

self.assertCountEqual(headers, (("SkyMap", "skymap"), 

("Tract", "tract"), 

("Patch", "patch"), 

("AbstractFilter", "abstract_filter"))) 

rows = list(rows) 

self.assertEqual(len(rows), 3*4*2) # 4 tracts x 4 patches x 2 filters 

 

# limit to 2 tracts and 2 patches 

headers, rows = self.preFlight.selectDataUnits(collections=["test"], 

expr="Tract.tract IN (1, 5) AND Patch.patch IN (2, 7)", 

neededDatasetTypes=[calexpType, mergeType], 

futureDatasetTypes=[measType]) 

# order of columns is not defined 

self.assertEqual(len(headers), 4) # headers must be the same 

rows = list(rows) 

self.assertEqual(len(rows), 2*2*2) # 4 tracts x 4 patches x 2 filters 

 

# limit to single filter 

headers, rows = self.preFlight.selectDataUnits(collections=["test"], 

expr="AbstractFilter.abstract_filter = 'i'", 

neededDatasetTypes=[calexpType, mergeType], 

futureDatasetTypes=[measType]) 

# order of columns is not defined 

self.assertEqual(len(headers), 4) # headers must be the same 

rows = list(rows) 

self.assertEqual(len(rows), 3*4*1) # 4 tracts x 4 patches x 2 filters 

 

# expression excludes everyhting, specifying non-existing skymap is not a 

# fatal error, it's operator error 

headers, rows = self.preFlight.selectDataUnits(collections=["test"], 

expr="SkyMap.skymap = 'Mars'", 

neededDatasetTypes=[calexpType, mergeType], 

futureDatasetTypes=[measType]) 

# order of columns is not defined 

self.assertEqual(len(headers), 4) # headers must be the same 

rows = list(rows) 

self.assertEqual(len(rows), 0) 

 

 

class MemoryTester(lsst.utils.tests.MemoryTestCase): 

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

237 ↛ 238line 237 didn't jump to line 238, because the condition on line 237 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()