Coverage for /usr/local/lib/python3.13/dist-packages/pyrocko/squirrel/cache.py: 91%
87 statements
« prev ^ index » next coverage.py v7.6.0, created at 2025-12-04 10:41 +0000
« prev ^ index » next coverage.py v7.6.0, created at 2025-12-04 10:41 +0000
1# http://pyrocko.org - GPLv3
2#
3# The Pyrocko Developers, 21st Century
4# ---|P------/S----------~Lg----------
6'''
7Squirrel memory cacheing.
8'''
10import logging
11import threading
13from pyrocko.guts import Object, Int
15logger = logging.getLogger('psq.cache')
18class ContentCacheStats(Object):
19 '''
20 Information about cache state.
21 '''
22 nentries = Int.T(
23 help='Number of items in the cache.')
24 naccessors = Int.T(
25 help='Number of accessors currently holding references to cache '
26 'items.')
29class ContentCache(object):
31 '''
32 Simple memory cache for file contents.
34 Squirrel manages data in small entities: nuts. Only the meta-data for each
35 nut is stored in the database, content data has to be read from file. This
36 cache helps to speed up data access for typical seismological access
37 patterns.
39 Content data for stations, channels and instrument responses is small in
40 size but slow to parse so it makes sense to cache these indefinitely once
41 read. Also, it is usually inefficient to read a single station from a
42 station file, so it is better to cache the contents of the complete file
43 even if only one station is requested (it is likely that other stations
44 from that file will be used anyway).
46 Content data for waveforms is large in size and we usually want to free the
47 memory allocated for them after processing. Typical processing schemes
48 require batches of waveforms to be available together (e.g.
49 cross-correlations between pairs of stations) and there may be overlap
50 between successive batches (e.g. sliding window processing schemes).
52 This cache implementation uses named accessors and batch window counting
53 for flexible content caching. Loaded contents are held in memory as long as
54 an accessor is holding a reference to it. For each accessor a batch counter
55 is maintained, which starts at 0 and is incremented using calls to
56 :py:meth:`advance_accessor`. Content accesses are tracked with calls to
57 :py:meth:`get`, which sets a "last access" attribute on the cached item to
58 the current value of the batch counter (each accessor has its own last
59 access attribute on the items it uses). References to items which have
60 not been accessed during the latest batch by the accessor in question are
61 released during :py:meth:`advance_accessor`. :py:meth:`put` inserts new
62 items into the cache. :py:meth:`has` checks if there already is content
63 cached for a given item. To remove all references held by a given accessor,
64 :py:meth:`clear_accessor` can be called.
66 **Example usage**
68 For meta-data content to be cached indefinitely, no calls to
69 :py:meth:`advance_accessor` or :py:meth:`clear_accessor` should be made.
70 For waveform content one would call :py:meth:`advance_accessor` after each
71 move of a sliding window or :py:meth:`clear_accessor` after each processed
72 event. For a process requiring data from two independent positions of
73 extraction, e.g. for cross-correlations between all possible pairs of a set
74 of events, two separate accessor names could be used.
75 '''
77 def __init__(self):
78 self._entries = {}
79 self._accessor_ticks = {}
80 self._lock = threading.RLock()
82 def _prune_outdated(self, path, segment, nut_mtime):
83 with self._lock:
84 try:
85 cache_mtime = self._entries[path, segment][0]
86 except KeyError:
87 return
89 if cache_mtime != nut_mtime:
90 logger.debug('Forgetting (outdated): %s %s' % (path, segment))
91 self._entries.pop((path, segment), None)
93 def put(self, nut):
94 '''
95 Insert a new/updated item into cache.
97 :param nut:
98 Content item with attached data object.
99 :type nut:
100 :py:class:`~pyrocko.squirrel.model.Nut`
101 '''
102 with self._lock:
103 path, segment, element, mtime = nut.key
104 self._prune_outdated(path, segment, nut.file_mtime)
105 if (path, segment) not in self._entries:
106 self._entries[path, segment] = nut.file_mtime, {}, {}
108 self._entries[path, segment][1][element] = nut
110 def get(self, nut, accessor='default', model='squirrel'):
111 '''
112 Get a content item and track its access.
114 :param nut:
115 Content item.
116 :type nut:
117 :py:class:`~pyrocko.squirrel.model.Nut`
119 :param accessor:
120 Name of accessing consumer. Giving a new name initializes a new
121 accessor.
122 :type accessor:
123 str
125 :returns:
126 Content data object
127 '''
128 with self._lock:
129 path, segment, element, mtime = nut.key
130 entry = self._entries[path, segment]
132 if accessor not in self._accessor_ticks:
133 self._accessor_ticks[accessor] = 0
135 entry[2][accessor] = self._accessor_ticks[accessor]
136 el = entry[1][element]
138 if model == 'squirrel':
139 return el.content
140 elif model.endswith('+'):
141 return el.content, el.raw_content[model[:-1]]
142 else:
143 return el.raw_content[model]
145 def has(self, nut):
146 '''
147 Check if item's content is currently in cache.
149 :param nut:
150 Content item.
151 :type nut:
152 :py:class:`~pyrocko.squirrel.model.Nut`
154 :returns:
155 :py:class:`bool`
157 '''
158 path, segment, element, nut_mtime = nut.key
160 with self._lock:
161 try:
162 entry = self._entries[path, segment]
163 cache_mtime = entry[0]
164 entry[1][element]
165 except KeyError:
166 return False
168 return cache_mtime == nut_mtime
170 def advance_accessor(self, accessor='default'):
171 '''
172 Increment batch counter of an accessor.
174 :param accessor:
175 Name of accessing consumer. Giving a new name initializes a new
176 accessor.
177 :type accessor:
178 str
179 '''
181 with self._lock:
182 if accessor not in self._accessor_ticks:
183 self._accessor_ticks[accessor] = 0
185 ta = self._accessor_ticks[accessor]
187 delete = []
188 for path_segment, entry in self._entries.items():
189 t = entry[2].get(accessor, ta)
190 if t < ta:
191 entry[2].pop(accessor, None)
192 if not entry[2]:
193 delete.append(path_segment)
195 for path_segment in delete:
196 logger.debug(
197 'Forgetting (clear): %s %s' % path_segment)
198 self._entries.pop(path_segment, None)
200 self._accessor_ticks[accessor] += 1
202 def clear_accessor(self, accessor='default'):
203 '''
204 Clear all references held by an accessor.
206 :param accessor:
207 Name of accessing consumer.
208 :type accessor:
209 str
210 '''
211 with self._lock:
212 delete = []
213 for path_segment, entry in self._entries.items():
214 entry[2].pop(accessor, None)
215 if not entry[2]:
216 delete.append(path_segment)
218 for path_segment in delete:
219 logger.debug('Forgetting (clear): %s %s' % path_segment)
220 self._entries.pop(path_segment, None)
222 self._accessor_ticks.pop(accessor, None)
224 def clear(self):
225 '''
226 Empty the cache.
227 '''
228 with self._lock:
229 for accessor in list(self._accessor_ticks.keys()):
230 self.clear_accessor(accessor)
232 self._entries = {}
233 self._accessor_ticks = {}
235 def get_stats(self):
236 '''
237 Get information about cache state.
239 :returns: :py:class:`ContentCacheStats` object.
240 '''
241 with self._lock:
242 return ContentCacheStats(
243 nentries=len(self._entries),
244 naccessors=len(self._accessor_ticks))