Coverage for python/lsst/analysis/tools/tasks/objectTableSurveyAnalysis.py: 45%

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1# Developed for the LSST Data Management System. 

2# This product includes software developed by the LSST Project 

3# (https://www.lsst.org). 

4# See the COPYRIGHT file at the top-level directory of this distribution 

5# for details of code ownership. 

6# 

7# This program is free software: you can redistribute it and/or modify 

8# it under the terms of the GNU General Public License as published by 

9# the Free Software Foundation, either version 3 of the License, or 

10# (at your option) any later version. 

11# 

12# This program is distributed in the hope that it will be useful, 

13# but WITHOUT ANY WARRANTY; without even the implied warranty of 

14# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 

15# GNU General Public License for more details. 

16# 

17# You should have received a copy of the GNU General Public License 

18# along with this program. If not, see <https://www.gnu.org/licenses/>. 

19 

20from __future__ import annotations 

21 

22__all__ = ("ObjectTableSurveyAnalysisTask",) 

23 

24 

25from typing import TYPE_CHECKING, Any, Iterable, Mapping, cast 

26 

27import pandas as pd 

28 

29if TYPE_CHECKING: 29 ↛ 30line 29 didn't jump to line 30, because the condition on line 29 was never true

30 from lsst.daf.butler import DataCoordinate, DeferredDatasetHandle 

31 

32from lsst.pipe.base import connectionTypes as ct 

33 

34from ..interfaces import KeyedData 

35from .base import AnalysisBaseConfig, AnalysisBaseConnections, AnalysisPipelineTask 

36 

37 

38class ObjectTableSurveyAnalysisConnections( 

39 AnalysisBaseConnections, 

40 dimensions=("skymap",), 

41 defaultTemplates={"input": "deepCoadd"}, 

42): 

43 

44 skymap = ct.Input( 

45 doc="Input definition of geometry/bbox and projection/wcs for warped exposures", 

46 name="skyMap", 

47 storageClass="SkyMap", 

48 dimensions=("skymap",), 

49 ) 

50 

51 data = ct.Input( 

52 doc="Input catalog of objects", 

53 name="objectTable_tract", 

54 storageClass="DataFrame", 

55 deferLoad=True, 

56 multiple=True, 

57 dimensions=("tract", "skymap"), 

58 ) 

59 

60 

61class ObjectTableSurveyAnalysisConfig( 

62 AnalysisBaseConfig, pipelineConnections=ObjectTableSurveyAnalysisConnections 

63): 

64 pass 

65 

66 

67class ObjectTableSurveyAnalysisTask(AnalysisPipelineTask): 

68 ConfigClass = ObjectTableSurveyAnalysisConfig 

69 _DefaultName = "objectTableSurveyAnalysis" 

70 

71 def parsePlotInfo( 

72 self, inputs: Mapping[str, Any] | None, dataId: DataCoordinate | None, connectionName: str = "data" 

73 ) -> Mapping[str, str]: 

74 # Docstring inherited 

75 

76 if inputs is None: 

77 tableName = "" 

78 run = "" 

79 tracts = "" 

80 else: 

81 tableName = inputs[connectionName][0].ref.datasetType.name 

82 run = inputs[connectionName][0].ref.run 

83 tracts = str([data.ref.dataId["tract"] for data in inputs[connectionName]]) 

84 

85 # Initialize the plot info dictionary 

86 plotInfo = { 

87 "tableName": tableName, 

88 "run": run, 

89 "tract": tracts, 

90 } 

91 

92 self._populatePlotInfoWithDataId(plotInfo, dataId) 

93 return plotInfo 

94 

95 def loadData( # type: ignore[override] 

96 self, 

97 handle: Iterable[DeferredDatasetHandle], 

98 names: Iterable[str] | None = None, 

99 ) -> KeyedData: 

100 """Load the minimal set of keyed data from the input dataset. 

101 

102 Parameters 

103 ---------- 

104 handle : `Iterable` of `DeferredDatasetHandle` 

105 Handle to load the dataset with only the specified columns. 

106 names : `Iterable` of `str` 

107 The names of keys to extract from the dataset. 

108 If `names` is `None` then the `collectInputNames` method 

109 is called to generate the names. 

110 For most purposes these are the names of columns to load from 

111 a catalog or data frame. 

112 

113 Returns 

114 ------- 

115 result: `KeyedData` 

116 The dataset with only the specified keys loaded. 

117 """ 

118 # Except associatedSourceTractAnalysis, all other tasks trivially 

119 # subclass this, so names don't get utilized. 

120 if names is None: 

121 names = self.collectInputNames() 

122 

123 return cast(KeyedData, pd.concat(h.get(parameters={"columns": names}) for h in handle))