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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/>. 

 

"""Tests for Butler. 

""" 

 

import os 

import unittest 

import tempfile 

import shutil 

import pickle 

 

from lsst.daf.butler.core.safeFileIo import safeMakeDir 

from lsst.daf.butler import Butler, Config, ButlerConfig 

from lsst.daf.butler import StorageClassFactory 

from lsst.daf.butler import DatasetType, DatasetRef 

from lsst.daf.butler import FileTemplateValidationError, ValidationError 

from examplePythonTypes import MetricsExample 

from lsst.daf.butler.core.repoRelocation import BUTLER_ROOT_TAG 

 

TESTDIR = os.path.abspath(os.path.dirname(__file__)) 

 

 

def makeExampleMetrics(): 

return MetricsExample({"AM1": 5.2, "AM2": 30.6}, 

{"a": [1, 2, 3], 

"b": {"blue": 5, "red": "green"}}, 

[563, 234, 456.7, 752, 8, 9, 27] 

) 

 

 

class TransactionTestError(Exception): 

"""Specific error for testing transactions, to prevent misdiagnosing 

that might otherwise occur when a standard exception is used. 

""" 

pass 

 

 

class ButlerConfigTests(unittest.TestCase): 

"""Simple tests for ButlerConfig that are not tested in other test cases. 

""" 

 

def testSearchPath(self): 

configFile = os.path.join(TESTDIR, "config", "basic", "butler.yaml") 

with self.assertLogs("lsst.daf.butler", level="DEBUG") as cm: 

config1 = ButlerConfig(configFile) 

self.assertNotIn("testConfigs", "\n".join(cm.output)) 

 

overrideDirectory = os.path.join(TESTDIR, "config", "testConfigs") 

with self.assertLogs("lsst.daf.butler", level="DEBUG") as cm: 

config2 = ButlerConfig(configFile, searchPaths=[overrideDirectory]) 

self.assertIn("testConfigs", "\n".join(cm.output)) 

 

key = ("datastore", "records", "table") 

self.assertNotEqual(config1[key], config2[key]) 

self.assertEqual(config2[key], "OverrideRecord") 

 

 

class ButlerTests: 

"""Tests for Butler. 

""" 

useTempRoot = True 

 

@staticmethod 

def addDatasetType(datasetTypeName, dimensions, storageClass, registry): 

"""Create a DatasetType and register it 

""" 

datasetType = DatasetType(datasetTypeName, dimensions, storageClass) 

registry.registerDatasetType(datasetType) 

return datasetType 

 

@classmethod 

def setUpClass(cls): 

cls.storageClassFactory = StorageClassFactory() 

cls.storageClassFactory.addFromConfig(cls.configFile) 

 

def assertGetComponents(self, butler, datasetRef, components, reference): 

datasetTypeName = datasetRef.datasetType.name 

dataId = datasetRef.dataId 

for component in components: 

compTypeName = DatasetType.nameWithComponent(datasetTypeName, component) 

result = butler.get(compTypeName, dataId) 

self.assertEqual(result, getattr(reference, component)) 

 

def setUp(self): 

"""Create a new butler root for each test.""" 

if self.useTempRoot: 

self.root = tempfile.mkdtemp(dir=TESTDIR) 

Butler.makeRepo(self.root, config=Config(self.configFile)) 

self.tmpConfigFile = os.path.join(self.root, "butler.yaml") 

else: 

self.root = None 

self.tmpConfigFile = self.configFile 

 

def tearDown(self): 

if self.root is not None and os.path.exists(self.root): 

shutil.rmtree(self.root, ignore_errors=True) 

 

def testConstructor(self): 

"""Independent test of constructor. 

""" 

butler = Butler(self.tmpConfigFile) 

self.assertIsInstance(butler, Butler) 

 

collections = butler.registry.getAllCollections() 

self.assertEqual(collections, set()) 

 

def testBasicPutGet(self): 

storageClass = self.storageClassFactory.getStorageClass("StructuredDataNoComponents") 

self.runPutGetTest(storageClass, "test_metric") 

 

def testCompositePutGetConcrete(self): 

storageClass = self.storageClassFactory.getStorageClass("StructuredData") 

self.runPutGetTest(storageClass, "test_metric") 

 

def testCompositePutGetVirtual(self): 

storageClass = self.storageClassFactory.getStorageClass("StructuredComposite") 

self.runPutGetTest(storageClass, "test_metric_comp") 

 

def runPutGetTest(self, storageClass, datasetTypeName): 

butler = Butler(self.tmpConfigFile) 

 

# There will not be a collection yet 

collections = butler.registry.getAllCollections() 

self.assertEqual(collections, set()) 

 

# Create and register a DatasetType 

dimensions = ("instrument", "visit") 

 

datasetType = self.addDatasetType(datasetTypeName, dimensions, storageClass, butler.registry) 

 

# Add needed Dimensions 

butler.registry.addDimensionEntry("instrument", {"instrument": "DummyCamComp"}) 

butler.registry.addDimensionEntry("physical_filter", {"instrument": "DummyCamComp", 

"physical_filter": "d-r"}) 

butler.registry.addDimensionEntry("visit", {"instrument": "DummyCamComp", "visit": 423, 

"physical_filter": "d-r"}) 

 

# Create and store a dataset 

metric = makeExampleMetrics() 

dataId = {"instrument": "DummyCamComp", "visit": 423} 

 

# Create a DatasetRef for put 

refIn = DatasetRef(datasetType, dataId, id=None) 

 

# Put with a preexisting id should fail 

with self.assertRaises(ValueError): 

butler.put(metric, DatasetRef(datasetType, dataId, id=100)) 

 

# Put and remove the dataset once as a DatasetRef, once as a dataId, 

# and once with a DatasetType 

for args in ((refIn,), (datasetTypeName, dataId), (datasetType, dataId)): 

with self.subTest(args=args): 

ref = butler.put(metric, *args) 

self.assertIsInstance(ref, DatasetRef) 

 

# Test getDirect 

metricOut = butler.getDirect(ref) 

self.assertEqual(metric, metricOut) 

# Test get 

metricOut = butler.get(ref.datasetType.name, dataId) 

self.assertEqual(metric, metricOut) 

# Test get with a datasetRef 

metricOut = butler.get(ref) 

self.assertEqual(metric, metricOut) 

 

# Check we can get components 

if storageClass.isComposite(): 

self.assertGetComponents(butler, ref, 

("summary", "data", "output"), metric) 

 

# Remove from collection only; after that we shouldn't be able 

# to find it unless we use the dataset_id. 

butler.remove(*args, delete=False) 

with self.assertRaises(LookupError): 

butler.datasetExists(*args) 

# If we use the output ref with the dataset_id, we should 

# still be able to load it with getDirect(). 

self.assertEqual(metric, butler.getDirect(ref)) 

 

# Reinsert into collection, then delete from Datastore *and* 

# remove from collection. 

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

butler.remove(*args) 

# Lookup with original args should still fail. 

with self.assertRaises(LookupError): 

butler.datasetExists(*args) 

# Now getDirect() should fail, too. 

with self.assertRaises(FileNotFoundError): 

butler.getDirect(ref) 

# Registry still knows about it, if we use the dataset_id. 

self.assertEqual(butler.registry.getDataset(ref.id), ref) 

 

# Put again, then remove completely (this generates a new 

# dataset record in registry, with a new ID - the old one 

# still exists but it is not in any collection so we don't 

# care). 

ref = butler.put(metric, *args) 

butler.remove(*args, remember=False) 

# Lookup with original args should still fail. 

with self.assertRaises(LookupError): 

butler.datasetExists(*args) 

# getDirect() should still fail. 

with self.assertRaises(FileNotFoundError): 

butler.getDirect(ref) 

# Registry shouldn't be able to find it by dataset_id anymore. 

self.assertIsNone(butler.registry.getDataset(ref.id)) 

 

# Put the dataset again, since the last thing we did was remove it. 

ref = butler.put(metric, refIn) 

 

# Get with parameters 

stop = 4 

sliced = butler.get(ref, parameters={"slice": slice(stop)}) 

self.assertNotEqual(metric, sliced) 

self.assertEqual(metric.summary, sliced.summary) 

self.assertEqual(metric.output, sliced.output) 

self.assertEqual(metric.data[:stop], sliced.data) 

 

# Combining a DatasetRef with a dataId should fail 

with self.assertRaises(ValueError): 

butler.get(ref, dataId) 

# Getting with an explicit ref should fail if the id doesn't match 

with self.assertRaises(ValueError): 

butler.get(DatasetRef(ref.datasetType, ref.dataId, id=101)) 

 

# Getting a dataset with unknown parameters should fail 

with self.assertRaises(KeyError): 

butler.get(ref, parameters={"unsupported": True}) 

 

# Check we have a collection 

collections = butler.registry.getAllCollections() 

self.assertEqual(collections, {"ingest", }) 

 

def testPickle(self): 

"""Test pickle support. 

""" 

butler = Butler(self.tmpConfigFile) 

butlerOut = pickle.loads(pickle.dumps(butler)) 

self.assertIsInstance(butlerOut, Butler) 

self.assertEqual(butlerOut.config, butler.config) 

 

def testGetDatasetTypes(self): 

butler = Butler(self.tmpConfigFile) 

dimensions = ("instrument", "visit", "physical_filter") 

dimensionEntries = (("instrument", {"instrument": "DummyCam"}), 

("instrument", {"instrument": "DummyHSC"}), 

("instrument", {"instrument": "DummyCamComp"}), 

("physical_filter", {"instrument": "DummyCam", "physical_filter": "d-r"}), 

("visit", {"instrument": "DummyCam", "visit": 42, "physical_filter": "d-r"})) 

storageClass = self.storageClassFactory.getStorageClass("StructuredData") 

# Add needed Dimensions 

for name, value in dimensionEntries: 

butler.registry.addDimensionEntry(name, value) 

 

# When a DatasetType is added to the registry entries are created 

# for each component. Need entries for each component in the test 

# configuration otherwise validation won't work. The ones that 

# are deliberately broken will be ignored later. 

datasetTypeNames = {"metric", "metric2", "metric4", "metric33", "pvi"} 

components = set() 

for datasetTypeName in datasetTypeNames: 

# Create and register a DatasetType 

self.addDatasetType(datasetTypeName, dimensions, storageClass, butler.registry) 

 

for componentName in storageClass.components: 

components.add(DatasetType.nameWithComponent(datasetTypeName, componentName)) 

 

fromRegistry = butler.registry.getAllDatasetTypes() 

self.assertEqual({d.name for d in fromRegistry}, datasetTypeNames | components) 

 

# Now that we have some dataset types registered, validate them 

butler.validateConfiguration(ignore=["test_metric_comp", "metric3", "calexp", "DummySC", 

"datasetType.component"]) 

 

# Add a new datasetType that will fail template validation 

self.addDatasetType("test_metric_comp", dimensions, storageClass, butler.registry) 

if self.validationCanFail: 

with self.assertRaises(ValidationError): 

butler.validateConfiguration() 

 

# Rerun validation but with a subset of dataset type names 

butler.validateConfiguration(datasetTypeNames=["metric4"]) 

 

# Rerun validation but ignore the bad datasetType 

butler.validateConfiguration(ignore=["test_metric_comp", "metric3", "calexp", "DummySC", 

"datasetType.component"]) 

 

def testTransaction(self): 

butler = Butler(self.tmpConfigFile) 

datasetTypeName = "test_metric" 

dimensions = ("instrument", "visit") 

dimensionEntries = (("instrument", {"instrument": "DummyCam"}), 

("physical_filter", {"instrument": "DummyCam", "physical_filter": "d-r"}), 

("visit", {"instrument": "DummyCam", "visit": 42, "physical_filter": "d-r"})) 

storageClass = self.storageClassFactory.getStorageClass("StructuredData") 

metric = makeExampleMetrics() 

dataId = {"instrument": "DummyCam", "visit": 42} 

with self.assertRaises(TransactionTestError): 

with butler.transaction(): 

# Create and register a DatasetType 

datasetType = self.addDatasetType(datasetTypeName, dimensions, storageClass, butler.registry) 

# Add needed Dimensions 

for name, value in dimensionEntries: 

butler.registry.addDimensionEntry(name, value) 

# Store a dataset 

ref = butler.put(metric, datasetTypeName, dataId) 

self.assertIsInstance(ref, DatasetRef) 

# Test getDirect 

metricOut = butler.getDirect(ref) 

self.assertEqual(metric, metricOut) 

# Test get 

metricOut = butler.get(datasetTypeName, dataId) 

self.assertEqual(metric, metricOut) 

# Check we can get components 

self.assertGetComponents(butler, ref, 

("summary", "data", "output"), metric) 

raise TransactionTestError("This should roll back the entire transaction") 

 

with self.assertRaises(KeyError): 

butler.registry.getDatasetType(datasetTypeName) 

for name, value in dimensionEntries: 

self.assertIsNone(butler.registry.findDimensionEntry(name, value)) 

# Should raise KeyError for missing DatasetType 

with self.assertRaises(KeyError): 

butler.get(datasetTypeName, dataId) 

# Also check explicitly if Dataset entry is missing 

self.assertIsNone(butler.registry.find(butler.collection, datasetType, dataId)) 

# Direct retrieval should not find the file in the Datastore 

with self.assertRaises(FileNotFoundError): 

butler.getDirect(ref) 

 

def testMakeRepo(self): 

"""Test that we can write butler configuration to a new repository via 

the Butler.makeRepo interface and then instantiate a butler from the 

repo root. 

""" 

# Do not run the test if we know this datastore configuration does 

# not support a file system root 

if self.fullConfigKey is None: 

return 

 

# Remove the file created in setUp 

os.unlink(self.tmpConfigFile) 

 

Butler.makeRepo(self.root, config=Config(self.configFile)) 

limited = Config(self.configFile) 

butler1 = Butler(self.root, collection="ingest") 

Butler.makeRepo(self.root, standalone=True, createRegistry=False, 

config=Config(self.configFile)) 

full = Config(self.tmpConfigFile) 

butler2 = Butler(self.root, collection="ingest") 

# Butlers should have the same configuration regardless of whether 

# defaults were expanded. 

self.assertEqual(butler1.config, butler2.config) 

# Config files loaded directly should not be the same. 

self.assertNotEqual(limited, full) 

# Make sure "limited" doesn't have a few keys we know it should be 

# inheriting from defaults. 

self.assertIn(self.fullConfigKey, full) 

self.assertNotIn(self.fullConfigKey, limited) 

 

# Collections don't appear until something is put in them 

collections1 = butler1.registry.getAllCollections() 

self.assertEqual(collections1, set()) 

self.assertEqual(butler2.registry.getAllCollections(), collections1) 

 

def testStringification(self): 

butler = Butler(self.tmpConfigFile) 

butlerStr = str(butler) 

 

if self.datastoreStr is not None: 

for testStr in self.datastoreStr: 

self.assertIn(testStr, butlerStr) 

if self.registryStr is not None: 

self.assertIn(self.registryStr, butlerStr) 

 

datastoreName = butler.datastore.name 

if self.datastoreName is not None: 

for testStr in self.datastoreName: 

self.assertIn(testStr, datastoreName) 

 

 

class PosixDatastoreButlerTestCase(ButlerTests, unittest.TestCase): 

"""PosixDatastore specialization of a butler""" 

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

fullConfigKey = ".datastore.formatters" 

validationCanFail = True 

 

datastoreStr = ["/tmp"] 

datastoreName = [f"POSIXDatastore@{BUTLER_ROOT_TAG}"] 

registryStr = "/gen3.sqlite3'" 

 

def testPutTemplates(self): 

storageClass = self.storageClassFactory.getStorageClass("StructuredDataNoComponents") 

butler = Butler(self.tmpConfigFile) 

 

# Add needed Dimensions 

butler.registry.addDimensionEntry("instrument", {"instrument": "DummyCamComp"}) 

butler.registry.addDimensionEntry("physical_filter", {"instrument": "DummyCamComp", 

"physical_filter": "d-r"}) 

butler.registry.addDimensionEntry("visit", {"instrument": "DummyCamComp", "visit": 423, 

"physical_filter": "d-r"}) 

butler.registry.addDimensionEntry("visit", {"instrument": "DummyCamComp", "visit": 425, 

"physical_filter": "d-r"}) 

 

# Create and store a dataset 

metric = makeExampleMetrics() 

 

# Create two almost-identical DatasetTypes (both will use default 

# template) 

dimensions = ("instrument", "visit") 

butler.registry.registerDatasetType(DatasetType("metric1", dimensions, storageClass)) 

butler.registry.registerDatasetType(DatasetType("metric2", dimensions, storageClass)) 

butler.registry.registerDatasetType(DatasetType("metric3", dimensions, storageClass)) 

 

dataId1 = {"instrument": "DummyCamComp", "visit": 423} 

dataId2 = {"instrument": "DummyCamComp", "visit": 423, "physical_filter": "d-r"} 

dataId3 = {"instrument": "DummyCamComp", "visit": 425} 

 

# Put with exactly the data ID keys needed 

ref = butler.put(metric, "metric1", dataId1) 

self.assertTrue(os.path.exists(os.path.join(butler.datastore.root, 

"ingest/metric1/DummyCamComp_423.pickle"))) 

 

# Check the template based on dimensions 

butler.datastore.templates.validateTemplates([ref]) 

 

# Put with extra data ID keys (physical_filter is an optional 

# dependency); should not change template (at least the way we're 

# defining them to behave now; the important thing is that they 

# must be consistent). 

ref = butler.put(metric, "metric2", dataId2) 

self.assertTrue(os.path.exists(os.path.join(butler.datastore.root, 

"ingest/metric2/DummyCamComp_423.pickle"))) 

 

# Check the template based on dimensions 

butler.datastore.templates.validateTemplates([ref]) 

 

# Now use a file template that will not result in unique filenames 

ref = butler.put(metric, "metric3", dataId1) 

 

# Check the template based on dimensions. This one is a bad template 

with self.assertRaises(FileTemplateValidationError): 

butler.datastore.templates.validateTemplates([ref]) 

 

with self.assertRaises(FileExistsError): 

butler.put(metric, "metric3", dataId3) 

 

 

class InMemoryDatastoreButlerTestCase(ButlerTests, unittest.TestCase): 

"""InMemoryDatastore specialization of a butler""" 

configFile = os.path.join(TESTDIR, "config/basic/butler-inmemory.yaml") 

fullConfigKey = None 

useTempRoot = False 

validationCanFail = False 

datastoreStr = ["datastore='InMemory'"] 

datastoreName = ["InMemoryDatastore@"] 

registryStr = "registry='sqlite:///:memory:'" 

 

 

class ChainedDatastoreButlerTestCase(ButlerTests, unittest.TestCase): 

"""PosixDatastore specialization""" 

configFile = os.path.join(TESTDIR, "config/basic/butler-chained.yaml") 

fullConfigKey = ".datastore.datastores.1.formatters" 

validationCanFail = True 

datastoreStr = ["datastore='InMemory", "/PosixDatastore_1,", "/PosixDatastore_2'"] 

datastoreName = ["InMemoryDatastore@", f"POSIXDatastore@{BUTLER_ROOT_TAG}/PosixDatastore_1", 

"SecondDatastore"] 

registryStr = "/gen3.sqlite3'" 

 

 

class ButlerExplicitRootTestCase(PosixDatastoreButlerTestCase): 

"""Test that a yaml file in one location can refer to a root in another.""" 

 

datastoreStr = ["dir1"] 

# Disable the makeRepo test since we are deliberately not using 

# butler.yaml as the config name. 

fullConfigKey = None 

 

def setUp(self): 

self.root = tempfile.mkdtemp(dir=TESTDIR) 

 

# Make a new repository in one place 

self.dir1 = os.path.join(self.root, "dir1") 

Butler.makeRepo(self.dir1, config=Config(self.configFile)) 

 

# Move the yaml file to a different place and add a "root" 

self.dir2 = os.path.join(self.root, "dir2") 

safeMakeDir(self.dir2) 

configFile1 = os.path.join(self.dir1, "butler.yaml") 

config = Config(configFile1) 

config["root"] = self.dir1 

configFile2 = os.path.join(self.dir2, "butler2.yaml") 

config.dumpToFile(configFile2) 

os.remove(configFile1) 

self.tmpConfigFile = configFile2 

 

def testFileLocations(self): 

self.assertNotEqual(self.dir1, self.dir2) 

self.assertTrue(os.path.exists(os.path.join(self.dir2, "butler2.yaml"))) 

self.assertFalse(os.path.exists(os.path.join(self.dir1, "butler.yaml"))) 

self.assertTrue(os.path.exists(os.path.join(self.dir1, "gen3.sqlite3"))) 

 

 

class ButlerConfigNoRunTestCase(unittest.TestCase): 

"""Test case for butler config which does not have ``run``. 

""" 

configFile = os.path.join(TESTDIR, "config/basic/butler-norun.yaml") 

 

def testPickle(self): 

"""Test pickle support. 

""" 

self.root = tempfile.mkdtemp(dir=TESTDIR) 

Butler.makeRepo(self.root, config=Config(self.configFile)) 

self.tmpConfigFile = os.path.join(self.root, "butler.yaml") 

butler = Butler(self.tmpConfigFile, run="ingest") 

butlerOut = pickle.loads(pickle.dumps(butler)) 

self.assertIsInstance(butlerOut, Butler) 

self.assertEqual(butlerOut.config, butler.config) 

 

def tearDown(self): 

if self.root is not None and os.path.exists(self.root): 

shutil.rmtree(self.root, ignore_errors=True) 

 

 

545 ↛ 546line 545 didn't jump to line 546, because the condition on line 545 was never trueif __name__ == "__main__": 

unittest.main()