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1# This file is part of daf_butler. 

2# 

3# Developed for the LSST Data Management System. 

4# This product includes software developed by the LSST Project 

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

21 

22from astropy.table import Table as AstropyTable 

23import numpy as np 

24 

25from .. import Butler 

26from ..cli.utils import sortAstropyTable 

27 

28 

29class _Table: 

30 """Aggregates DataIds and creates an astropy table with one DataId per 

31 row. Eliminates duplicate rows. 

32 """ 

33 

34 def __init__(self): 

35 self.dataIds = set() 

36 

37 def add(self, dataId): 

38 """Add a DataId to the table. 

39 

40 Parameters 

41 ---------- 

42 dataId : ``DataId`` 

43 The DataId to add to the table. 

44 """ 

45 self.dataIds.add(dataId) 

46 

47 def getAstropyTable(self): 

48 """Get the table as an astropy table. 

49 

50 Returns 

51 ------- 

52 table : `astropy.table.Table` 

53 The dataIds, sorted by spatial and temporal columns first, and then 

54 the rest of the columns, with duplicate dataIds removed. 

55 """ 

56 # Should never happen; adding a dataset should be the action that 

57 # causes a _Table to be created. 

58 if not self.dataIds: 

59 raise RuntimeError("No DataIds were provided.") 

60 

61 dataId = next(iter(self.dataIds)) 

62 dimensions = list(dataId.full.keys()) 

63 columnNames = [str(item) for item in dimensions] 

64 

65 # Need to hint the column types for numbers since the per-row 

66 # constructor of Table does not work this out on its own and sorting 

67 # will not work properly without. 

68 typeMap = {float: np.float, int: np.int64} 

69 columnTypes = [typeMap.get(type(value)) for value in dataId.full.values()] 

70 

71 rows = [[value for value in dataId.full.values()] for dataId in self.dataIds] 

72 

73 table = AstropyTable(np.array(rows), names=columnNames, dtype=columnTypes) 

74 return sortAstropyTable(table, dimensions) 

75 

76 

77def queryDataIds(repo, dimensions, datasets, where, collections): 

78 # Docstring for supported parameters is the same as Registry.queryDataIds 

79 

80 butler = Butler(repo) 

81 results = butler.registry.queryDataIds(dimensions, 

82 datasets=datasets, 

83 where=where, 

84 collections=collections) 

85 

86 if len(results.graph) > 0: 

87 table = _Table() 

88 for dataId in results: 

89 table.add(dataId) 

90 return table.getAstropyTable() 

91 else: 

92 return None