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1import astropy.units as u 

2import numpy as np 

3from lsst.pipe.base import Struct, Task 

4from lsst.pex.config import Config, Field 

5from lsst.verify import Measurement 

6 

7from lsst.faro.utils.matcher import mergeCatalogs 

8 

9__all__ = ('NumSourcesTask', 'NumSourcesMergeTask', 

10 'NumpySummaryTaskConfig', 'NumpySummaryTask') 

11 

12 

13class NumSourcesTaskConfig(Config): 

14 doPrimary = Field(doc="Only count sources where detect_isPrimary is True.", 

15 dtype=bool, default=False) 

16 

17 

18class NumSourcesTask(Task): 

19 

20 ConfigClass = NumSourcesTaskConfig 

21 _DefaultName = "numSourcesTask" 

22 

23 def run(self, catalog, metric_name, vIds=None): 

24 self.log.info(f"Measuring {metric_name}") 

25 if self.config.doPrimary: 

26 nSources = np.sum(catalog['detect_isPrimary'] is True) 

27 else: 

28 nSources = len(catalog) 

29 print('nSources = %i'%(nSources)) 

30 meas = Measurement("nsrcMeas", nSources * u.count) 

31 return Struct(measurement=meas) 

32 

33 

34class NumSourcesMergeTask(Task): 

35 

36 ConfigClass = Config 

37 _DefaultName = "numSourcesMergeTask" 

38 

39 def run(self, metricName, catalogs, photoCalibs, astromCalibs, dataIds): 

40 self.log.info(f"Measuring {metricName}") 

41 catalog = mergeCatalogs(catalogs, photoCalibs, astromCalibs) 

42 nSources = len(catalog) 

43 meas = Measurement("nsrcMeas", nSources * u.count) 

44 return Struct(measurement=meas) 

45 

46 

47class NumpySummaryTaskConfig(Config): 

48 summary = Field(dtype=str, default="median", 

49 doc="Aggregation to use for summary metrics") 

50 

51 

52class NumpySummaryTask(Task): 

53 

54 ConfigClass = NumpySummaryTaskConfig 

55 _DefaultName = "numpySummaryTask" 

56 

57 def run(self, measurements, agg_name, package, metric): 

58 agg = agg_name.lower() 

59 if agg == "summary": 

60 agg = self.config.summary 

61 self.log.info(f"Computing the {agg} of {package}_{metric} values") 

62 

63 if len(measurements) == 0: 

64 self.log.info('Recieved zero length measurments list. Returning NaN.') 

65 # In the case of an empty list, there is nothing we can do other than 

66 # to return a NaN 

67 value = u.Quantity(np.nan) 

68 else: 

69 unit = measurements[0].quantity.unit 

70 value = getattr(np, agg)(u.Quantity([x.quantity for x in measurements 

71 if np.isfinite(x.quantity)])) 

72 # Make sure return has same unit as inputs 

73 # In some cases numpy can return a NaN and the unit gets dropped 

74 value = value.value*unit 

75 return Struct(measurement=Measurement(f"metricvalue_{agg_name.lower()}_{package}_{metric}", value))