Coverage for python / lsst / analysis / tools / tasks / metadataExposureDetectorAnalysis.py: 50%

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__ = ("MetadataExposureDetectorAnalysisConfig", "MetadataExposureDetectorAnalysisTask") 

24 

25from lsst.pipe.base import NoWorkFound, connectionTypes 

26 

27from ..interfaces import AnalysisBaseConfig, AnalysisBaseConnections, AnalysisPipelineTask 

28 

29 

30class MetadataExposureDetectorAnalysisConnections( 

31 AnalysisBaseConnections, 

32 dimensions=("instrument", "exposure", "detector"), 

33 defaultTemplates={"inputName": "isr_metadata", "outputName": "isr_metadata_exposure_detector_analysis"}, 

34): 

35 data = connectionTypes.Input( 

36 doc="Task metadata to load.", 

37 name="{inputName}", 

38 storageClass="TaskMetadata", 

39 deferLoad=True, 

40 dimensions=["instrument", "exposure", "detector"], 

41 ) 

42 

43 

44class MetadataExposureDetectorAnalysisConfig( 

45 AnalysisBaseConfig, 

46 pipelineConnections=MetadataExposureDetectorAnalysisConnections, 

47): 

48 pass 

49 

50 

51class MetadataExposureDetectorAnalysisTask(AnalysisPipelineTask): 

52 ConfigClass = MetadataExposureDetectorAnalysisConfig 

53 _DefaultName = "metadataExposureDetectorAnalysis" 

54 

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

56 dataId = butlerQC.quantum.dataId 

57 inputs = butlerQC.get(inputRefs) 

58 plotInfo = self.parsePlotInfo(inputs, dataId) 

59 taskName = inputRefs.data.datasetType.name 

60 taskName = taskName[: taskName.find("_")] 

61 metadata = inputs["data"].get().to_dict() 

62 if not metadata: 

63 raise NoWorkFound(f"No metadata entries for {taskName}.") 

64 outputs = self.run(data=metadata, plotInfo=plotInfo) 

65 self.putByBand(butlerQC, outputs, outputRefs)