Hide keyboard shortcuts

Hot-keys on this page

r m x p   toggle line displays

j k   next/prev highlighted chunk

0   (zero) top of page

1   (one) first highlighted chunk

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

43

44

45

46

47

48

49

50

51

52

53

54

55

56

57

58

59

60

61

62

63

64

65

66

67

68

69

70

71

72

73

74

75

76

77

78

79

80

81

82

83

84

85

86

87

88

89

90

91

92

93

94

95

96

97

98

99

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

181

182

183

184

185

186

187

188

189

190

191

192

193

194

195

196

197

198

199

200

201

202

203

204

205

206

207

208

209

210

211

212

213

214

215

216

217

218

219

220

221

222

223

224

225

226

227

228

229

230

231

232

233

234

235

# 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 unittest 

import pickle 

 

from lsst.daf.butler import DatasetType, DatasetRef, StorageClass, StorageClassFactory, DimensionUniverse 

 

"""Tests for datasets module. 

""" 

 

 

class DatasetTypeTestCase(unittest.TestCase): 

"""Test for DatasetType. 

""" 

 

def setUp(self): 

self.universe = DimensionUniverse.fromConfig() 

 

def testConstructor(self): 

"""Test construction preserves values. 

 

Note that construction doesn't check for valid storageClass. 

This can only be verified for a particular schema. 

""" 

datasetTypeName = "test" 

storageClass = StorageClass("test_StructuredData") 

dimensions = self.universe.extract(("instrument", "visit")) 

datasetType = DatasetType(datasetTypeName, dimensions, storageClass) 

self.assertEqual(datasetType.name, datasetTypeName) 

self.assertEqual(datasetType.storageClass, storageClass) 

self.assertEqual(datasetType.dimensions.names, dimensions) 

 

def testConstructor2(self): 

"""Test construction from StorageClass name. 

""" 

datasetTypeName = "test" 

storageClass = StorageClass("test_constructor2") 

StorageClassFactory().registerStorageClass(storageClass) 

dimensions = self.universe.extract(("instrument", "visit")) 

datasetType = DatasetType(datasetTypeName, dimensions, "test_constructor2") 

self.assertEqual(datasetType.name, datasetTypeName) 

self.assertEqual(datasetType.storageClass, storageClass) 

self.assertEqual(datasetType.dimensions.names, dimensions) 

 

def testNameValidation(self): 

"""Test that dataset type names only contain certain characters 

in certain positions. 

""" 

dimensions = self.universe.extract(("instrument", "visit")) 

storageClass = StorageClass("test_StructuredData") 

goodNames = ("a", "A", "z1", "Z1", "a_1B", "A_1b") 

badNames = ("1", "_", "a%b", "B+Z", "T[0]") 

for name in goodNames: 

self.assertEqual(DatasetType(name, dimensions, storageClass).name, name) 

for suffix in goodNames: 

full = f"{name}.{suffix}" 

self.assertEqual(DatasetType(full, dimensions, storageClass).name, full) 

for suffix in badNames: 

full = f"{name}.{suffix}" 

with self.subTest(full=full): 

with self.assertRaises(ValueError): 

DatasetType(full, dimensions, storageClass) 

for name in badNames: 

with self.subTest(name=name): 

with self.assertRaises(ValueError): 

DatasetType(name, dimensions, storageClass) 

 

def testEquality(self): 

storageA = StorageClass("test_a") 

storageB = StorageClass("test_b") 

dimensionsA = self.universe.extract(["instrument"]) 

dimensionsB = self.universe.extract(["skymap"]) 

self.assertEqual(DatasetType("a", dimensionsA, storageA,), 

DatasetType("a", dimensionsA, storageA,)) 

self.assertEqual(DatasetType("a", dimensionsA, "test_a",), 

DatasetType("a", dimensionsA, storageA,)) 

self.assertEqual(DatasetType("a", dimensionsA, storageA,), 

DatasetType("a", dimensionsA, "test_a",)) 

self.assertEqual(DatasetType("a", dimensionsA, "test_a",), 

DatasetType("a", dimensionsA, "test_a",)) 

self.assertNotEqual(DatasetType("a", dimensionsA, storageA,), 

DatasetType("b", dimensionsA, storageA,)) 

self.assertNotEqual(DatasetType("a", dimensionsA, storageA,), 

DatasetType("b", dimensionsA, "test_a",)) 

self.assertNotEqual(DatasetType("a", dimensionsA, storageA,), 

DatasetType("a", dimensionsA, storageB,)) 

self.assertNotEqual(DatasetType("a", dimensionsA, storageA,), 

DatasetType("a", dimensionsA, "test_b",)) 

self.assertNotEqual(DatasetType("a", dimensionsA, storageA,), 

DatasetType("a", dimensionsB, storageA,)) 

self.assertNotEqual(DatasetType("a", dimensionsA, storageA,), 

DatasetType("a", dimensionsB, "test_a",)) 

 

def testHashability(self): 

"""Test `DatasetType.__hash__`. 

 

This test is performed by checking that `DatasetType` entries can 

be inserted into a `set` and that unique values of its 

(`name`, `storageClass`, `dimensions`) parameters result in separate 

entries (and equal ones don't). 

 

This does not check for uniformity of hashing or the actual values 

of the hash function. 

""" 

types = [] 

unique = 0 

storageC = StorageClass("test_c") 

storageD = StorageClass("test_d") 

for name in ["a", "b"]: 

for storageClass in [storageC, storageD]: 

for dimensions in [("instrument", ), ("skymap", )]: 

datasetType = DatasetType(name, self.universe.extract(dimensions), storageClass) 

datasetTypeCopy = DatasetType(name, self.universe.extract(dimensions), storageClass) 

types.extend((datasetType, datasetTypeCopy)) 

unique += 1 # datasetType should always equal its copy 

self.assertEqual(len(set(types)), unique) # all other combinations are unique 

 

# also check that hashes of instances constructed with StorageClass 

# name matches hashes of instances constructed with instances 

dimensions = self.universe.extract(["instrument"]) 

self.assertEqual(hash(DatasetType("a", dimensions, storageC)), 

hash(DatasetType("a", dimensions, "test_c"))) 

self.assertEqual(hash(DatasetType("a", dimensions, "test_c")), 

hash(DatasetType("a", dimensions, "test_c"))) 

self.assertNotEqual(hash(DatasetType("a", dimensions, storageC)), 

hash(DatasetType("a", dimensions, "test_d"))) 

self.assertNotEqual(hash(DatasetType("a", dimensions, storageD)), 

hash(DatasetType("a", dimensions, "test_c"))) 

self.assertNotEqual(hash(DatasetType("a", dimensions, "test_c")), 

hash(DatasetType("a", dimensions, "test_d"))) 

 

def testPickle(self): 

"""Test pickle support. 

""" 

storageClass = StorageClass("test_pickle") 

datasetTypeName = "test" 

dimensions = self.universe.extract(("instrument", "visit")) 

# Un-pickling requires that storage class is registered with factory. 

StorageClassFactory().registerStorageClass(storageClass) 

datasetType = DatasetType(datasetTypeName, dimensions, storageClass) 

datasetTypeOut = pickle.loads(pickle.dumps(datasetType)) 

self.assertIsInstance(datasetTypeOut, DatasetType) 

self.assertEqual(datasetType.name, datasetTypeOut.name) 

self.assertEqual(datasetType.dimensions.names, datasetTypeOut.dimensions.names) 

self.assertEqual(datasetType.storageClass, datasetTypeOut.storageClass) 

 

def test_composites(self): 

"""Test components within composite DatasetTypes.""" 

storageClassA = StorageClass("compA") 

storageClassB = StorageClass("compB") 

storageClass = StorageClass("test_composite", components={"compA": storageClassA, 

"compB": storageClassB}) 

self.assertTrue(storageClass.isComposite()) 

self.assertFalse(storageClassA.isComposite()) 

self.assertFalse(storageClassB.isComposite()) 

 

dimensions = self.universe.extract(("instrument", "visit")) 

 

datasetTypeComposite = DatasetType("composite", dimensions, storageClass) 

datasetTypeComponentA = DatasetType("composite.compA", dimensions, storageClassA) 

datasetTypeComponentB = DatasetType("composite.compB", dimensions, storageClassB) 

 

self.assertTrue(datasetTypeComposite.isComposite()) 

self.assertFalse(datasetTypeComponentA.isComposite()) 

self.assertTrue(datasetTypeComponentB.isComponent()) 

self.assertFalse(datasetTypeComposite.isComponent()) 

 

self.assertEqual(datasetTypeComposite.name, "composite") 

self.assertEqual(datasetTypeComponentA.name, "composite.compA") 

self.assertEqual(datasetTypeComponentB.component(), "compB") 

self.assertEqual(datasetTypeComposite.nameAndComponent(), ("composite", None)) 

self.assertEqual(datasetTypeComponentA.nameAndComponent(), ("composite", "compA")) 

 

 

class DatasetRefTestCase(unittest.TestCase): 

"""Test for DatasetRef. 

""" 

 

def setUp(self): 

self.universe = DimensionUniverse.fromConfig() 

 

def testConstructor(self): 

"""Test construction preserves values. 

""" 

datasetTypeName = "test" 

storageClass = StorageClass("testref_StructuredData") 

dimensions = self.universe.extract(("instrument", "visit")) 

dataId = dict(instrument="DummyCam", visit=42) 

datasetType = DatasetType(datasetTypeName, dimensions, storageClass) 

ref = DatasetRef(datasetType, dataId) 

self.assertEqual(ref.datasetType, datasetType) 

self.assertEqual(ref.dataId, dataId) 

self.assertIsNone(ref.producer) 

self.assertEqual(ref.predictedConsumers, dict()) 

self.assertEqual(ref.actualConsumers, dict()) 

self.assertEqual(ref.components, dict()) 

 

def testDetach(self): 

datasetTypeName = "test" 

storageClass = StorageClass("testref_StructuredData") 

dimensions = self.universe.extract(("instrument", "visit")) 

dataId = dict(instrument="DummyCam", visit=42) 

datasetType = DatasetType(datasetTypeName, dimensions, storageClass) 

ref = DatasetRef(datasetType, dataId, id=1) 

detachedRef = ref.detach() 

self.assertIsNotNone(ref.id) 

self.assertIsNone(detachedRef.id) 

self.assertEqual(ref.datasetType, detachedRef.datasetType) 

self.assertEqual(ref.dataId, detachedRef.dataId) 

self.assertEqual(ref.predictedConsumers, detachedRef.predictedConsumers) 

self.assertEqual(ref.actualConsumers, detachedRef.actualConsumers) 

self.assertEqual(ref.components, detachedRef.components) 

 

 

234 ↛ 235line 234 didn't jump to line 235, because the condition on line 234 was never trueif __name__ == "__main__": 

unittest.main()