Coverage for python/lsst/daf/butler/registry/_caching_context.py: 76%
21 statements
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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/>.
28from __future__ import annotations
30__all__ = ["CachingContext"]
32from typing import TYPE_CHECKING
34from ._collection_record_cache import CollectionRecordCache
35from ._collection_summary_cache import CollectionSummaryCache
36from ._dataset_type_cache import DatasetTypeCache
38if TYPE_CHECKING:
39 from .interfaces import DatasetRecordStorage
42class CachingContext:
43 """Collection of caches for various types of records retrieved from
44 database.
46 Notes
47 -----
48 Caching is usually disabled for most of the record types, but it can be
49 explicitly and temporarily enabled in some context (e.g. quantum graph
50 building) using Registry method. This class is a collection of cache
51 instances which will be `None` when caching is disabled. Instance of this
52 class is passed to the relevant managers that can use it to query or
53 populate caches when caching is enabled.
55 Dataset type cache is always enabled for now, this avoids the need for
56 explicitly enabling caching in pipetask executors.
57 """
59 collection_records: CollectionRecordCache | None = None
60 """Cache for collection records (`CollectionRecordCache`)."""
62 collection_summaries: CollectionSummaryCache | None = None
63 """Cache for collection summary records (`CollectionSummaryCache`)."""
65 dataset_types: DatasetTypeCache[DatasetRecordStorage]
66 """Cache for dataset types, never disabled (`DatasetTypeCache`)."""
68 def __init__(self) -> None:
69 self.dataset_types = DatasetTypeCache()
71 def enable(self) -> None:
72 """Enable caches, initializes all caches."""
73 self.collection_records = CollectionRecordCache()
74 self.collection_summaries = CollectionSummaryCache()
76 def disable(self) -> None:
77 """Disable caches, sets all caches to `None`."""
78 self.collection_records = None
79 self.collection_summaries = None