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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 import (ButlerConfig, DatasetType, Registry, 

DatasetOriginInfoDef, 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 testDatasetOriginInfoDef(self): 

"""Test for DatasetOriginInfoDef class""" 

 

originInfo = DatasetOriginInfoDef(defaultInputs=["a", "b"], defaultOutput="out") 

self.assertEqual(originInfo.getInputCollections("ds"), ["a", "b"]) 

self.assertEqual(originInfo.getInputCollections("ds2"), ["a", "b"]) 

self.assertEqual(originInfo.getOutputCollection("ds"), "out") 

self.assertEqual(originInfo.getOutputCollection("ds2"), "out") 

 

originInfo = DatasetOriginInfoDef(defaultInputs=["a", "b"], defaultOutput="out", 

inputOverrides=dict(ds2=["c"]), 

outputOverrides=dict(ds2="out2")) 

self.assertEqual(originInfo.getInputCollections("ds"), ["a", "b"]) 

self.assertEqual(originInfo.getInputCollections("ds2"), ["c"]) 

self.assertEqual(originInfo.getOutputCollection("ds"), "out") 

self.assertEqual(originInfo.getOutputCollection("ds2"), "out2") 

 

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("Visit", dict(camera="DummyCam", visit=20, 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")) 

registry.addDataUnitEntry("Exposure", dict(camera="DummyCam", exposure=200, visit=20, 

physical_filter="dummy_r")) 

registry.addDataUnitEntry("Exposure", dict(camera="DummyCam", exposure=201, visit=20, 

physical_filter="dummy_r")) 

 

# dataset types 

collection1 = "test" 

collection2 = "test2" 

run = registry.makeRun(collection=collection1) 

run2 = registry.makeRun(collection=collection2) 

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) 

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

# Exposures 100 and 101 appear in both collections, 100 has different 

# dataset_id in different collections, for 101 only single dataset_id exists 

if exposure == 100: 

registry.addDataset(rawType, dataId=dataId, run=run2) 

if exposure == 101: 

registry.associate(run2.collection, [ref]) 

# Add pre-existing datasets to second collection. 

for exposure in (200, 201): 

for sensor in (3, 4, 5): 

# note that only 3 of 5 sensors have datasets 

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

registry.addDataset(rawType, dataId=dataId, run=run2) 

 

# with empty expression 

originInfo = DatasetOriginInfoDef(defaultInputs=[collection1], defaultOutput=collection1) 

rows = self.preFlight.selectDataUnits(originInfo=originInfo, 

expression="", 

neededDatasetTypes=[rawType], 

futureDatasetTypes=[calexpType]) 

rows = list(rows) 

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

for row in rows: 

self.assertCountEqual(row.dataId.keys(), ("camera", "sensor", "exposure", "visit")) 

self.assertCountEqual(row.datasetRefs.keys(), (rawType, calexpType)) 

self.assertCountEqual(set(row.dataId["exposure"] for row in rows), 

(100, 101, 110, 111)) 

self.assertCountEqual(set(row.dataId["visit"] for row in rows), (10, 11)) 

self.assertCountEqual(set(row.dataId["sensor"] for row in rows), (1, 2, 3)) 

 

# second collection 

originInfo = DatasetOriginInfoDef(defaultInputs=[collection2], defaultOutput=collection1) 

rows = self.preFlight.selectDataUnits(originInfo=originInfo, 

expression="", 

neededDatasetTypes=[rawType], 

futureDatasetTypes=[calexpType]) 

rows = list(rows) 

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

for row in rows: 

self.assertCountEqual(row.dataId.keys(), ("camera", "sensor", "exposure", "visit")) 

self.assertCountEqual(row.datasetRefs.keys(), (rawType, calexpType)) 

self.assertCountEqual(set(row.dataId["exposure"] for row in rows), 

(100, 101, 200, 201)) 

self.assertCountEqual(set(row.dataId["visit"] for row in rows), (10, 20)) 

self.assertCountEqual(set(row.dataId["sensor"] for row in rows), (1, 2, 3, 4, 5)) 

 

# with two input datasets 

originInfo = DatasetOriginInfoDef(defaultInputs=[collection1, collection2], defaultOutput=collection2) 

rows = self.preFlight.selectDataUnits(originInfo=originInfo, 

expression="", 

neededDatasetTypes=[rawType], 

futureDatasetTypes=[calexpType]) 

rows = list(rows) 

self.assertEqual(len(rows), 6*3) # 6 exposures times 3 sensors 

for row in rows: 

self.assertCountEqual(row.dataId.keys(), ("camera", "sensor", "exposure", "visit")) 

self.assertCountEqual(row.datasetRefs.keys(), (rawType, calexpType)) 

self.assertCountEqual(set(row.dataId["exposure"] for row in rows), 

(100, 101, 110, 111, 200, 201)) 

self.assertCountEqual(set(row.dataId["visit"] for row in rows), (10, 11, 20)) 

self.assertCountEqual(set(row.dataId["sensor"] for row in rows), (1, 2, 3, 4, 5)) 

 

# limit to single visit 

originInfo = DatasetOriginInfoDef(defaultInputs=[collection1], defaultOutput=None) 

rows = self.preFlight.selectDataUnits(originInfo=originInfo, 

expression="Visit.visit = 10", 

neededDatasetTypes=[rawType], 

futureDatasetTypes=[calexpType]) 

rows = list(rows) 

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

self.assertCountEqual(set(row.dataId["exposure"] for row in rows), (100, 101)) 

self.assertCountEqual(set(row.dataId["visit"] for row in rows), (10,)) 

self.assertCountEqual(set(row.dataId["sensor"] for row in rows), (1, 2, 3)) 

 

# more limiting expression 

originInfo = DatasetOriginInfoDef(defaultInputs=[collection1], defaultOutput="") 

rows = self.preFlight.selectDataUnits(originInfo=originInfo, 

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

neededDatasetTypes=[rawType], 

futureDatasetTypes=[calexpType]) 

rows = list(rows) 

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

self.assertCountEqual(set(row.dataId["exposure"] for row in rows), (100, 101)) 

self.assertCountEqual(set(row.dataId["visit"] for row in rows), (10,)) 

self.assertCountEqual(set(row.dataId["sensor"] for row in rows), (2, 3)) 

 

# expression excludes everyhting 

rows = self.preFlight.selectDataUnits(originInfo=originInfo, 

expression="Visit.visit > 1000", 

neededDatasetTypes=[rawType], 

futureDatasetTypes=[calexpType]) 

rows = list(rows) 

self.assertEqual(len(rows), 0) 

 

# Selecting by PhysicalFilter, this is not in the units, but it is 

# a part of the full expression so it should work too. 

rows = self.preFlight.selectDataUnits(originInfo=originInfo, 

expression="PhysicalFilter.physical_filter = 'dummy_r'", 

neededDatasetTypes=[rawType], 

futureDatasetTypes=[calexpType]) 

rows = list(rows) 

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

self.assertCountEqual(set(row.dataId["exposure"] for row in rows), (110, 111)) 

self.assertCountEqual(set(row.dataId["visit"] for row in rows), (11,)) 

self.assertCountEqual(set(row.dataId["sensor"] for row in rows), (1, 2, 3)) 

 

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 

collection = "test" 

run = registry.makeRun(collection=collection) 

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 

originInfo = DatasetOriginInfoDef(defaultInputs=[collection], defaultOutput="") 

rows = self.preFlight.selectDataUnits(originInfo=originInfo, 

expression="", 

neededDatasetTypes=[calexpType, mergeType], 

futureDatasetTypes=[measType]) 

rows = list(rows) 

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

for row in rows: 

self.assertCountEqual(row.dataId.keys(), ("skymap", "tract", "patch", "abstract_filter")) 

self.assertCountEqual(row.datasetRefs.keys(), (calexpType, mergeType, measType)) 

self.assertCountEqual(set(row.dataId["tract"] for row in rows), (1, 3, 5)) 

self.assertCountEqual(set(row.dataId["patch"] for row in rows), (2, 4, 6, 7)) 

self.assertCountEqual(set(row.dataId["abstract_filter"] for row in rows), ("i", "r")) 

 

# limit to 2 tracts and 2 patches 

rows = self.preFlight.selectDataUnits(originInfo=originInfo, 

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

neededDatasetTypes=[calexpType, mergeType], 

futureDatasetTypes=[measType]) 

rows = list(rows) 

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

self.assertCountEqual(set(row.dataId["tract"] for row in rows), (1, 5)) 

self.assertCountEqual(set(row.dataId["patch"] for row in rows), (2, 7)) 

self.assertCountEqual(set(row.dataId["abstract_filter"] for row in rows), ("i", "r")) 

 

# limit to single filter 

rows = self.preFlight.selectDataUnits(originInfo=originInfo, 

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

neededDatasetTypes=[calexpType, mergeType], 

futureDatasetTypes=[measType]) 

rows = list(rows) 

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

self.assertCountEqual(set(row.dataId["tract"] for row in rows), (1, 3, 5)) 

self.assertCountEqual(set(row.dataId["patch"] for row in rows), (2, 4, 6, 7)) 

self.assertCountEqual(set(row.dataId["abstract_filter"] for row in rows), ("i",)) 

 

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

# fatal error, it's operator error 

rows = self.preFlight.selectDataUnits(originInfo=originInfo, 

expression="SkyMap.skymap = 'Mars'", 

neededDatasetTypes=[calexpType, mergeType], 

futureDatasetTypes=[measType]) 

rows = list(rows) 

self.assertEqual(len(rows), 0) 

 

def testPreFlightSpatialMatch(self): 

"""Test involving spacial match using join tables. 

 

Note that realistic test needs a resonably-defined SkyPix and regions 

in registry tables which is hard to implement in this simple test. 

So we do not actually fill registry with any data and all queries will 

return empty result, but this is still useful for coverage of the code 

that generates query. 

""" 

registry = self.registry 

 

# dataset types 

collection = "test" 

registry.makeRun(collection=collection) 

storageClass = StorageClass("testDataset") 

registry.storageClasses.registerStorageClass(storageClass) 

 

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

storageClass=storageClass) 

registry.registerDatasetType(calexpType) 

 

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

"AbstractFilter"), 

storageClass=storageClass) 

registry.registerDatasetType(coaddType) 

 

# without data this should run OK but return empty set 

originInfo = DatasetOriginInfoDef(defaultInputs=[collection], defaultOutput="") 

rows = self.preFlight.selectDataUnits(originInfo=originInfo, 

expression="", 

neededDatasetTypes=[calexpType], 

futureDatasetTypes=[coaddType]) 

rows = list(rows) 

self.assertEqual(len(rows), 0) 

 

 

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

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

353 ↛ 354line 353 didn't jump to line 354, because the condition on line 353 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()