Coverage for python/lsst/analysis/tools/tasks/ccdVisitTableAnalysis.py: 51%

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1# This file is part of analysis_tools. 

2# 

3# Developed for the LSST Data Management System. 

4# This product includes software developed by the LSST Project 

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

21from __future__ import annotations 

22 

23__all__ = ("CcdVisitTableAnalysisTask",) 

24 

25from lsst.cp.pipe._lookupStaticCalibration import lookupStaticCalibration 

26from lsst.daf.butler import DataCoordinate 

27from lsst.pex.config import Field 

28from lsst.pipe.base import connectionTypes as cT 

29from lsst.skymap import BaseSkyMap 

30 

31from .base import AnalysisBaseConfig, AnalysisBaseConnections, AnalysisPipelineTask 

32 

33 

34class CcdVisitTableAnalysisConnections( 

35 AnalysisBaseConnections, 

36 dimensions=("skymap", "instrument"), 

37 defaultTemplates={"outputName": "ccdVisitTable"}, 

38): 

39 data = cT.Input( 

40 doc="Collection based source table to load from the butler.", 

41 name="ccdVisitTable", 

42 storageClass="DataFrame", 

43 deferLoad=True, 

44 dimensions=("instrument",), 

45 ) 

46 calibrateConfig = cT.Input( 

47 doc="Collection based calibrate task config to load from the butler.", 

48 name="calibrate_config", 

49 storageClass="Config", 

50 dimensions=(), 

51 ) 

52 makeWarpConfig = cT.Input( 

53 doc="Collection based makeWarp task config to load from the butler.", 

54 name="makeWarp_config", 

55 storageClass="Config", 

56 dimensions=(), 

57 ) 

58 skymap = cT.Input( 

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

60 name=BaseSkyMap.SKYMAP_DATASET_TYPE_NAME, 

61 storageClass="SkyMap", 

62 dimensions=("skymap",), 

63 ) 

64 camera = cT.PrerequisiteInput( 

65 doc="Input camera to use for focal plane geometry.", 

66 name="camera", 

67 storageClass="Camera", 

68 dimensions=("instrument",), 

69 isCalibration=True, 

70 lookupFunction=lookupStaticCalibration, 

71 ) 

72 

73 def __init__(self, *, config=None): 

74 super().__init__(config=config) 

75 # No metrics are computed for this task, so remove output dataset. 

76 self.outputs.remove("metrics") 

77 if not config.introspectMakeWarpConfig: 

78 self.inputs.remove("makeWarpConfig") 

79 

80 

81class CcdVisitTableAnalysisConfig(AnalysisBaseConfig, pipelineConnections=CcdVisitTableAnalysisConnections): 

82 introspectMakeWarpConfig = Field[bool]( 

83 doc="Whether to introspect the makeWarp_config dataset to obtain the actual " 

84 "maxEllipResidual and maxScalesSizeScatter thresholds in this run? Set to " 

85 "False if makeWarp has not yet been run on given collection.", 

86 default=True, 

87 ) 

88 

89 

90class CcdVisitTableAnalysisTask(AnalysisPipelineTask): 

91 ConfigClass = CcdVisitTableAnalysisConfig 

92 _DefaultName = "ccdVisitTableAnalysisTask" 

93 

94 def runQuantum(self, butlerQC, inputRefs, outputRefs): 

95 # Docs inherited from base class. 

96 inputs = butlerQC.get(inputRefs) 

97 dataId = butlerQC.quantum.dataId 

98 if dataId is not None: 

99 dataId = DataCoordinate.standardize(dataId, universe=butlerQC.registry.dimensions) 

100 plotInfo = self.parsePlotInfo(inputs, dataId) 

101 data = self.loadData(inputs["data"]) 

102 skymap = None if "skymap" not in inputs.keys() else inputs["skymap"] 

103 camera = None if "camera" not in inputs.keys() else inputs["camera"] 

104 calibrateConfig = inputs["calibrateConfig"] 

105 makeWarpConfig = None if "makeWarpConfig" not in inputs.keys() else inputs["makeWarpConfig"] 

106 

107 outputs = self.run( 

108 data=data, 

109 plotInfo=plotInfo, 

110 camera=camera, 

111 skymap=skymap, 

112 calibrateConfig=calibrateConfig, 

113 makeWarpConfig=makeWarpConfig, 

114 ) 

115 butlerQC.put(outputs, outputRefs)