# http://pyrocko.org - GPLv3
#
# The Pyrocko Developers, 21st Century
# ---|P------/S----------~Lg----------
'''
Squirrel memory cacheing.
'''
import logging
from pyrocko.guts import Object, Int
logger = logging.getLogger('psq.cache')
[docs]class ContentCacheStats(Object):
'''
Information about cache state.
'''
nentries = Int.T(
help='Number of items in the cache.')
naccessors = Int.T(
help='Number of accessors currently holding references to cache '
'items.')
[docs]class ContentCache(object):
'''
Simple memory cache for file contents.
Squirrel manages data in small entities: nuts. Only the meta-data for each
nut is stored in the database, content data has to be read from file. This
cache helps to speed up data access for typical seismological access
patterns.
Content data for stations, channels and instrument responses is small in
size but slow to parse so it makes sense to cache these indefinitely once
read. Also, it is usually inefficient to read a single station from a
station file, so it is better to cache the contents of the complete file
even if only one station is requested (it is likely that other stations
from that file will be used anyway).
Content data for waveforms is large in size and we usually want to free the
memory allocated for them after processing. Typical processing schemes
require batches of waveforms to be available together (e.g.
cross-correlations between pairs of stations) and there may be overlap
between successive batches (e.g. sliding window processing schemes).
This cache implementation uses named accessors and batch window counting
for flexible content caching. Loaded contents are held in memory as long as
an accessor is holding a reference to it. For each accessor a batch counter
is maintained, which starts at 0 and is incremented using calls to
:py:meth:`advance_accessor`. Content accesses are tracked with calls to
:py:meth:`get`, which sets a "last access" attribute on the cached item to
the current value of the batch counter (each accessor has its own last
access attribute on the items it uses). References to items which have
not been accessed during the latest batch by the accessor in question are
released during :py:meth:`advance_accessor`. :py:meth:`put` inserts new
items into the cache. :py:meth:`has` checks if there already is content
cached for a given item. To remove all references held by a given accessor,
:py:meth:`clear_accessor` can be called.
**Example usage**
For meta-data content to be cached indefinitely, no calls to
:py:meth:`advance_accessor` or :py:meth:`clear_accessor` should be made.
For waveform content one would call :py:meth:`advance_accessor` after each
move of a sliding window or :py:meth:`clear_accessor` after each processed
event. For a process requiring data from two independent positions of
extraction, e.g. for cross-correlations between all possible pairs of a set
of events, two separate accessor names could be used.
'''
def __init__(self):
self._entries = {}
self._accessor_ticks = {}
def _prune_outdated(self, path, segment, nut_mtime):
try:
cache_mtime = self._entries[path, segment][0]
except KeyError:
return
if cache_mtime != nut_mtime:
logger.debug('Forgetting (outdated): %s %s' % (path, segment))
self._entries.pop([path, segment], None)
[docs] def put(self, nut):
'''
Insert a new/updated item into cache.
:param nut:
Content item with attached data object.
:type nut:
:py:class:`~pyrocko.squirrel.model.Nut`
'''
path, segment, element, mtime = nut.key
self._prune_outdated(path, segment, nut.file_mtime)
if (path, segment) not in self._entries.copy():
self._entries[path, segment] = nut.file_mtime, {}, {}
self._entries[path, segment][1][element] = nut
[docs] def get(self, nut, accessor='default', model='squirrel'):
'''
Get a content item and track its access.
:param nut:
Content item.
:type nut:
:py:class:`~pyrocko.squirrel.model.Nut`
:param accessor:
Name of accessing consumer. Giving a new name initializes a new
accessor.
:type accessor:
str
:returns:
Content data object
'''
path, segment, element, mtime = nut.key
entry = self._entries[path, segment]
if accessor not in self._accessor_ticks:
self._accessor_ticks[accessor] = 0
entry[2][accessor] = self._accessor_ticks[accessor]
el = entry[1][element]
if model == 'squirrel':
return el.content
elif model.endswith('+'):
return el.content, el.raw_content[model[:-1]]
else:
return el.raw_content[model]
[docs] def has(self, nut):
'''
Check if item's content is currently in cache.
:param nut:
Content item.
:type nut:
:py:class:`~pyrocko.squirrel.model.Nut`
:returns:
:py:class:`bool`
'''
path, segment, element, nut_mtime = nut.key
try:
entry = self._entries[path, segment]
cache_mtime = entry[0]
entry[1][element]
except KeyError:
return False
return cache_mtime == nut_mtime
[docs] def advance_accessor(self, accessor='default'):
'''
Increment batch counter of an accessor.
:param accessor:
Name of accessing consumer. Giving a new name initializes a new
accessor.
:type accessor:
str
'''
if accessor not in self._accessor_ticks:
self._accessor_ticks[accessor] = 0
ta = self._accessor_ticks[accessor]
for path_segment, entry in self._entries.copy().items():
t = entry[2].get(accessor, ta)
if t < ta:
del entry[2][accessor]
if not entry[2]:
logger.debug('Forgetting (clear): %s %s' % path_segment)
self._entries.pop(path_segment, None)
self._accessor_ticks[accessor] += 1
[docs] def clear_accessor(self, accessor='default'):
'''
Clear all references held by an accessor.
:param accessor:
Name of accessing consumer.
:type accessor:
str
'''
for path_segment, entry in self._entries.copy().items():
entry[2].pop(accessor, None)
if not entry[2]:
logger.debug('Forgetting (clear): %s %s' % path_segment)
self._entries.pop(path_segment, None)
try:
del self._accessor_ticks[accessor]
except KeyError:
pass
[docs] def clear(self):
'''
Empty the cache.
'''
for accessor in list(self._accessor_ticks.keys()):
self.clear_accessor(accessor)
self._entries = {}
self._accessor_ticks = {}
[docs] def get_stats(self):
'''
Get information about cache state.
:returns: :py:class:`ContentCacheStats` object.
'''
return ContentCacheStats(
nentries=len(self._entries),
naccessors=len(self._accessor_ticks))
