Coverage for python/lsst/daf/butler/script/_associate.py: 60%

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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 software is dual licensed under the GNU General Public License and also 

10# under a 3-clause BSD license. Recipients may choose which of these licenses 

11# to use; please see the files gpl-3.0.txt and/or bsd_license.txt, 

12# respectively. If you choose the GPL option then the following text applies 

13# (but note that there is still no warranty even if you opt for BSD instead): 

14# 

15# This program is free software: you can redistribute it and/or modify 

16# it under the terms of the GNU General Public License as published by 

17# the Free Software Foundation, either version 3 of the License, or 

18# (at your option) any later version. 

19# 

20# This program is distributed in the hope that it will be useful, 

21# but WITHOUT ANY WARRANTY; without even the implied warranty of 

22# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 

23# GNU General Public License for more details. 

24# 

25# You should have received a copy of the GNU General Public License 

26# along with this program. If not, see <http://www.gnu.org/licenses/>. 

27from __future__ import annotations 

28 

29from collections.abc import Iterable 

30 

31from .._butler import Butler 

32from ..registry import CollectionType 

33from .queryDatasets import QueryDatasets 

34 

35 

36def associate( 

37 repo: str, 

38 collection: str, 

39 dataset_type: Iterable[str], 

40 collections: Iterable[str], 

41 where: str, 

42 find_first: bool, 

43) -> None: 

44 """Add existing datasets to a CHAINED collection.""" 

45 butler = Butler.from_config(repo, writeable=True) 

46 

47 butler.registry.registerCollection(collection, CollectionType.TAGGED) 

48 

49 results = QueryDatasets( 

50 butler=butler, 

51 glob=dataset_type, 

52 collections=collections, 

53 where=where, 

54 find_first=find_first, 

55 show_uri=False, 

56 repo=None, 

57 ) 

58 

59 butler.registry.associate(collection, results.getDatasets())