mirror of
https://github.com/krateng/maloja.git
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144 lines
3.6 KiB
Python
144 lines
3.6 KiB
Python
# the more generalized caching for DB queries
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# mostly to avoid long loading times for pages that show lots of information
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# that changes very infrequently or not at all
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import lru
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import psutil
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import json
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from doreah.regular import runhourly
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from doreah.logging import log
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from ..pkg_global.conf import malojaconfig
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HIGH_NUMBER = 1000000
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CACHE_SIZE = 10000
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ENTITY_CACHE_SIZE = 1000000
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CACHE_ADJUST_STEP = 100
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cache = lru.LRU(CACHE_SIZE)
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entitycache = lru.LRU(ENTITY_CACHE_SIZE)
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hits, misses = 0, 0
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@runhourly
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def maintenance():
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if malojaconfig['USE_GLOBAL_CACHE']:
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print_stats()
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trim_cache()
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def print_stats():
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log(f"Cache Size: {len(cache)} [{len(entitycache)} E], System RAM Utilization: {psutil.virtual_memory().percent}%, Cache Hits: {hits}/{hits+misses}")
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#print("Full rundown:")
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#import sys
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#for k in cache.keys():
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# print(f"\t{k}\t{sys.getsizeof(cache[k])}")
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def cached_wrapper(inner_func):
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if not malojaconfig['USE_GLOBAL_CACHE']: return inner_func
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def outer_func(*args,**kwargs):
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if 'dbconn' in kwargs:
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conn = kwargs.pop('dbconn')
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else:
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conn = None
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global hits, misses
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key = (serialize(args),serialize(kwargs), inner_func, kwargs.get("since"), kwargs.get("to"))
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if key in cache:
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hits += 1
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return cache.get(key)
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else:
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misses += 1
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result = inner_func(*args,**kwargs,dbconn=conn)
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cache[key] = result
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return result
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return outer_func
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# cache for functions that call with a whole list of entity ids
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# we don't want a new cache entry for every single combination, but keep a common
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# cache that's aware of what we're calling
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def cached_wrapper_individual(inner_func):
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if not malojaconfig['USE_GLOBAL_CACHE']: return inner_func
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def outer_func(set_arg,**kwargs):
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if 'dbconn' in kwargs:
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conn = kwargs.pop('dbconn')
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else:
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conn = None
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#global hits, misses
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result = {}
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for id in set_arg:
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if (inner_func,id) in entitycache:
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result[id] = entitycache[(inner_func,id)]
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#hits += 1
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else:
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pass
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#misses += 1
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remaining = inner_func(set(e for e in set_arg if e not in result),dbconn=conn)
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for id in remaining:
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entitycache[(inner_func,id)] = remaining[id]
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result[id] = remaining[id]
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return result
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return outer_func
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def invalidate_caches(scrobbletime):
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if malojaconfig['USE_GLOBAL_CACHE']:
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cleared, kept = 0, 0
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for k in cache.keys():
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# VERY BIG TODO: differentiate between None as in 'unlimited timerange' and None as in 'time doesnt matter here'!
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if (k[3] is None or scrobbletime >= k[3]) and (k[4] is None or scrobbletime <= k[4]):
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cleared += 1
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del cache[k]
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else:
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kept += 1
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log(f"Invalidated {cleared} of {cleared+kept} DB cache entries")
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def invalidate_entity_cache():
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entitycache.clear()
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def trim_cache():
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ramprct = psutil.virtual_memory().percent
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if ramprct > malojaconfig["DB_MAX_MEMORY"]:
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log(f"{ramprct}% RAM usage, clearing cache and adjusting size!")
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#ratio = 0.6
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#targetsize = max(int(len(cache) * ratio),50)
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#log(f"Reducing to {targetsize} entries")
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#cache.set_size(targetsize)
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#cache.set_size(HIGH_NUMBER)
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cache.clear()
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if cache.get_size() > CACHE_ADJUST_STEP:
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cache.set_size(cache.get_size() - CACHE_ADJUST_STEP)
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#log(f"New RAM usage: {psutil.virtual_memory().percent}%")
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print_stats()
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def serialize(obj):
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try:
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return serialize(obj.hashable())
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except:
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try:
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return json.dumps(obj)
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except:
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if isinstance(obj, (list, tuple, set)):
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return "[" + ",".join(serialize(o) for o in obj) + "]"
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elif isinstance(obj,dict):
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return "{" + ",".join(serialize(o) + ":" + serialize(obj[o]) for o in obj) + "}"
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return json.dumps(obj.hashable())
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