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1# This file is part of daf_butler. 

2# 

3# Developed for the LSST Data Management System. 

4# This product includes software developed by the LSST Project 

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

21 

22from __future__ import annotations 

23 

24__all__ = () 

25 

26from contextlib import contextmanager 

27import io 

28import os 

29import shutil 

30import tempfile 

31from typing import Optional 

32 

33import astropy 

34from astropy.table import Table as AstropyTable 

35from astropy.utils.diff import report_diff_values 

36 

37from .. import ( 

38 Butler, 

39 Config, 

40 StorageClassFactory, 

41) 

42from ..tests import addDatasetType, MetricsExample 

43from ..registry import CollectionType 

44 

45 

46def makeTestTempDir(default_base: str) -> str: 

47 """Create a temporary directory for test usage. 

48 

49 The directory will be created within ``DAF_BUTLER_TEST_TMP`` if that 

50 environment variable is set, falling back to ``default_base`` if it is 

51 not. 

52 

53 Parameters 

54 ---------- 

55 default_base : `str` 

56 Default parent directory. 

57 

58 Returns 

59 ------- 

60 dir : `str` 

61 Name of the new temporary directory. 

62 """ 

63 base = os.environ.get("DAF_BUTLER_TEST_TMP", default_base) 

64 return tempfile.mkdtemp(dir=base) 

65 

66 

67def removeTestTempDir(root: Optional[str]) -> None: 

68 """Attempt to remove a temporary test directory, but do not raise if 

69 unable to. 

70 

71 Unlike `tempfile.TemporaryDirectory`, this passes ``ignore_errors=True`` 

72 to ``shutil.rmtree`` at close, making it safe to use on NFS. 

73 

74 Parameters 

75 ---------- 

76 root : `str`, optional 

77 Name of the directory to be removed. If `None`, nothing will be done. 

78 """ 

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

80 shutil.rmtree(root, ignore_errors=True) 

81 

82 

83@contextmanager 

84def safeTestTempDir(default_base: str) -> str: 

85 """Return a context manager that creates a temporary directory and then 

86 attempts to remove it. 

87 

88 Parameters 

89 ---------- 

90 default_base : `str` 

91 Default parent directory, forwarded to `makeTestTempDir`. 

92 

93 Returns 

94 ------- 

95 context : `contextlib.ContextManager` 

96 A context manager that returns the new directory name on ``__enter__`` 

97 and removes the temporary directory (via `removeTestTempDir`) on 

98 ``__exit__``. 

99 """ 

100 root = makeTestTempDir(default_base) 

101 try: 

102 yield root 

103 finally: 

104 removeTestTempDir(root) 

105 

106 

107class ButlerTestHelper: 

108 """Mixin with helpers for unit tests.""" 

109 

110 def assertAstropyTablesEqual(self, tables, expectedTables): 

111 """Verify that a list of astropy tables matches a list of expected 

112 astropy tables. 

113 

114 Parameters 

115 ---------- 

116 tables : `astropy.table.Table` or iterable [`astropy.table.Table`] 

117 The table or tables that should match the expected tables. 

118 expectedTables : `astropy.table.Table` 

119 or iterable [`astropy.table.Table`] 

120 The tables with expected values to which the tables under test will 

121 be compared. 

122 """ 

123 # If a single table is passed in for tables or expectedTables, put it 

124 # in a list. 

125 if isinstance(tables, AstropyTable): 

126 tables = [tables] 

127 if isinstance(expectedTables, AstropyTable): 

128 expectedTables = [expectedTables] 

129 diff = io.StringIO() 

130 self.assertEqual(len(tables), len(expectedTables)) 

131 for table, expected in zip(tables, expectedTables): 

132 # Assert that we are testing what we think we are testing: 

133 self.assertIsInstance(table, AstropyTable) 

134 self.assertIsInstance(expected, AstropyTable) 

135 # Assert that they match: 

136 self.assertTrue(report_diff_values(table, expected, fileobj=diff), msg="\n" + diff.getvalue()) 

137 

138 

139def readTable(textTable): 

140 """Read an astropy table from formatted text. 

141 

142 Contains formatting that causes the astropy table to print an empty string 

143 instead of "--" for missing/unpopulated values in the text table. 

144 

145 

146 Parameters 

147 ---------- 

148 textTable : `str` 

149 The text version of the table to read. 

150 

151 Returns 

152 ------- 

153 table : `astropy.table.Table` 

154 The table as an astropy table. 

155 """ 

156 return AstropyTable.read(textTable, 

157 format="ascii", 

158 data_start=2, # skip the header row and the header row underlines. 

159 fill_values=[("", 0, "")]) 

160 

161 

162class MetricTestRepo: 

163 """Creates and manage a test repository on disk with datasets that 

164 may be queried and modified for unit tests. 

165 

166 Parameters 

167 ---------- 

168 root : `str` 

169 The location of the repository, to pass to ``Butler.makeRepo``. 

170 configFile : `str` 

171 The path to the config file, to pass to ``Butler.makeRepo``. 

172 """ 

173 

174 @staticmethod 

175 def _makeExampleMetrics(): 

176 """Make an object to put into the repository. 

177 """ 

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

179 {"a": [1, 2, 3], 

180 "b": {"blue": 5, "red": "green"}}, 

181 [563, 234, 456.7, 752, 8, 9, 27]) 

182 

183 @staticmethod 

184 def _makeDimensionData(id, name, datetimeBegin=None, datetimeEnd=None): 

185 """Make a dict of dimensional data with default values to insert into 

186 the registry. 

187 """ 

188 data = dict(instrument="DummyCamComp", 

189 id=id, 

190 name=name, 

191 physical_filter="d-r", 

192 visit_system=1) 

193 if datetimeBegin: 

194 data["datetime_begin"] = datetimeBegin 

195 data["datetime_end"] = datetimeEnd 

196 return data 

197 

198 def __init__(self, root, configFile): 

199 self.root = root 

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

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

202 self.storageClassFactory = StorageClassFactory() 

203 self.storageClassFactory.addFromConfig(butlerConfigFile) 

204 

205 # New datasets will be added to run and tag, but we will only look in 

206 # tag when looking up datasets. 

207 run = "ingest/run" 

208 tag = "ingest" 

209 self.butler = Butler(butlerConfigFile, run=run, collections=[tag], tags=[tag]) 

210 

211 # Create and register a DatasetType 

212 self.datasetType = addDatasetType(self.butler, "test_metric_comp", ("instrument", "visit"), 

213 "StructuredCompositeReadComp") 

214 

215 # Add needed Dimensions 

216 self.butler.registry.insertDimensionData("instrument", {"name": "DummyCamComp"}) 

217 self.butler.registry.insertDimensionData("physical_filter", {"instrument": "DummyCamComp", 

218 "name": "d-r", 

219 "band": "R"}) 

220 self.butler.registry.insertDimensionData("visit_system", {"instrument": "DummyCamComp", 

221 "id": 1, 

222 "name": "default"}) 

223 visitStart = astropy.time.Time("2020-01-01 08:00:00.123456789", scale="tai") 

224 visitEnd = astropy.time.Time("2020-01-01 08:00:36.66", scale="tai") 

225 self.butler.registry.insertDimensionData("visit", dict(instrument="DummyCamComp", 

226 id=423, 

227 name="fourtwentythree", 

228 physical_filter="d-r", 

229 visit_system=1, 

230 datetimeBegin=visitStart, 

231 datetimeEnd=visitEnd)) 

232 self.butler.registry.insertDimensionData("visit", dict(instrument="DummyCamComp", 

233 id=424, 

234 name="fourtwentyfour", 

235 physical_filter="d-r", 

236 visit_system=1)) 

237 

238 self.addDataset({"instrument": "DummyCamComp", "visit": 423}) 

239 self.addDataset({"instrument": "DummyCamComp", "visit": 424}) 

240 

241 def addDataset(self, dataId, run=None, datasetType=None): 

242 """Create a new example metric and add it to the named run with the 

243 given dataId. 

244 

245 Overwrites tags, so this does not try to associate the new dataset with 

246 existing tags. (If/when tags are needed this can be added to the 

247 arguments of this function.) 

248 

249 Parameters 

250 ---------- 

251 dataId : `dict` 

252 The dataId for the new metric. 

253 run : `str`, optional 

254 The name of the run to create and add a dataset to. If `None`, the 

255 dataset will be added to the root butler. 

256 datasetType : ``DatasetType``, optional 

257 The dataset type of the added dataset. If `None`, will use the 

258 default dataset type. 

259 """ 

260 if run: 

261 self.butler.registry.registerCollection(run, type=CollectionType.RUN) 

262 metric = self._makeExampleMetrics() 

263 self.butler.put(metric, 

264 self.datasetType if datasetType is None else datasetType, 

265 dataId, 

266 run=run, 

267 tags=())