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

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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__ = ("DiffimDetectorVisitMetricsAnalysisConfig", "DiffimDetectorVisitMetricsAnalysisTask") 

24 

25import pandas as pd 

26from lsst.pipe.base import NoWorkFound, connectionTypes 

27 

28from ..interfaces import AnalysisBaseConfig, AnalysisBaseConnections, AnalysisPipelineTask 

29 

30 

31class DiffimDetectorVisitMetricsAnalysisConnections( 

32 AnalysisBaseConnections, 

33 dimensions=("visit", "band", "detector"), 

34): 

35 metadataSubtract = connectionTypes.Input( 

36 doc="Task metadata from image differencing", 

37 name="subtractImages_metadata", 

38 storageClass="TaskMetadata", 

39 dimensions=("visit", "band", "detector"), 

40 ) 

41 metadataDetect = connectionTypes.Input( 

42 doc="Task metadata from DIA detection and measurement", 

43 name="detectAndMeasure_metadata", 

44 storageClass="TaskMetadata", 

45 dimensions=("visit", "band", "detector"), 

46 ) 

47 

48 

49class DiffimDetectorVisitMetricsAnalysisConfig( 

50 AnalysisBaseConfig, pipelineConnections=DiffimDetectorVisitMetricsAnalysisConnections 

51): 

52 pass 

53 

54 

55class DiffimDetectorVisitMetricsAnalysisTask(AnalysisPipelineTask): 

56 ConfigClass = DiffimDetectorVisitMetricsAnalysisConfig 

57 _DefaultName = "DiffimDetectorVisitMetricsAnalysis" 

58 

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

60 inputs = butlerQC.get(inputRefs) 

61 detectTaskName = inputRefs.metadataDetect.datasetType.name 

62 detectTaskName = detectTaskName[: detectTaskName.find("_")] 

63 metadata = inputs["metadataDetect"].metadata[detectTaskName].to_dict() 

64 if not metadata: 

65 raise NoWorkFound("No metadata entries for detectAndMeasure.") 

66 inputs.pop("metadataDetect") 

67 subtractTaskName = inputRefs.metadataSubtract.datasetType.name 

68 subtractTaskName = subtractTaskName[: subtractTaskName.find("_")] 

69 metadata |= inputs["metadataSubtract"].metadata[subtractTaskName].to_dict() 

70 inputs.pop("metadataSubtract") 

71 df = pd.DataFrame(metadata) 

72 

73 inputs["data"] = df 

74 outputs = self.run(**inputs) 

75 butlerQC.put(outputs, outputRefs)