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"""Storage Managers for Dejavu.""" |
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import datetime |
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import threading |
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import thread |
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import recur |
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try: |
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import cPickle as pickle |
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except ImportError: |
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import pickle |
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class StorageManager(object): |
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"""A Manager base class for storing and retrieving Units. |
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The base StorageManager class doesn't actually store anything; |
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it needs to be subclassed. |
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""" |
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def __init__(self, name, arena, allOptions={}): |
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self.name = name |
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self.arena = arena |
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self.shutdownOrder = int(allOptions.get('Shutdown Order', '0')) |
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def recall(self, unitClass, expr=None): |
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"""Return an iterable object which will populate Units.""" |
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raise NotImplementedError |
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def save(self, unit, forceSave=False): |
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"""Store the object's data{} dictionary.""" |
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raise NotImplementedError |
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def destroy(self, unit): |
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"""Delete the object.""" |
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raise NotImplementedError |
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def create_storage(self, unitClass): |
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raise NotImplementedError |
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def reserve(self, unit): |
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"""Reserve storage space for the Unit.""" |
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raise AttributeError |
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def shutdown(self): |
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pass |
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class ProxyStorage(StorageManager): |
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"""A Storage Manager which passes calls to another Storage Manager.""" |
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nextstore = None |
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def __init__(self, name, arena, allOptions={}): |
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StorageManager.__init__(self, name, arena, allOptions) |
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nextstore = allOptions.get('Next Store') |
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if nextstore: |
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self.nextstore = arena.stores[nextstore] |
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def recall(self, unitClass, expr=None): |
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if self.nextstore: |
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for unit in self.nextstore.recall(unitClass, expr): |
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yield unit |
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def save(self, unit, forceSave=False): |
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"""Store the unit.""" |
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if self.nextstore: |
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self.nextstore.save(unit, forceSave) |
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def destroy(self, unit): |
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"""Delete the unit.""" |
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if self.nextstore: |
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self.nextstore.destroy(unit) |
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def create_storage(self, unitClass): |
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if self.nextstore: |
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self.nextstore.create_storage(unitClass) |
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def reserve(self, unit): |
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"""Reserve storage space for the Unit.""" |
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if self.nextstore: |
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self.nextstore.reserve(unit) |
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class CachingProxy(ProxyStorage): |
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"""A Proxy Storage Manager which recalls and keeps Units in memory.""" |
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def __init__(self, name, arena, allOptions={}): |
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ProxyStorage.__init__(self, name, arena, allOptions) |
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self._caches = {} |
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self._cache_locks = {} |
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self._recallTimes = {} |
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lifetime = allOptions.get('Lifetime', '') |
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if lifetime: |
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self.recurrence = recur.Recurrence(None, lifetime) |
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if self.recurrence: |
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self.recurrence.next() |
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self.lastrun = datetime.datetime.now() |
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self.active = True |
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threading.Timer(self.recurrence.interval(), self._cycle).start() |
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def _cycle(self): |
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"""Run the scheduled work.""" |
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threading.Timer(self.recurrence.interval(), self._cycle).start() |
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if self.active: |
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self.sweep_all(self.lastrun) |
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self.lastrun = datetime.datetime.now() |
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def cachelen(self, cls): |
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return len(self._caches.get(cls, {})) |
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def cached_units(self, cls): |
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return [pickle.loads(data) for data |
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in self._caches.get(cls, {}).itervalues()] |
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def _get_lock(self, unitClass): |
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if unitClass not in self._caches: |
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self._caches[unitClass] = {} |
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self._cache_locks[unitClass] = thread.allocate_lock() |
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lock = self._cache_locks[unitClass] |
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lock.acquire(True) |
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return lock |
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def recall(self, unitClass, expr=None): |
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"""Return a Unit iterator.""" |
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currentTime = datetime.datetime.now() |
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lock = self._get_lock(unitClass) |
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try: |
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cache = self._caches[unitClass] |
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seen = {} |
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for id, pickledUnit in cache.iteritems(): |
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unit = pickle.loads(pickledUnit) |
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if expr is None or expr.evaluate(unit): |
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seen[id] = unit |
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if self.nextstore: |
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for unit in self.nextstore.recall(unitClass, expr): |
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if unit.ID not in seen: |
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seen[unit.ID] = unit |
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if unit.ID not in cache: |
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cache[unit.ID] = pickle.dumps(unit) |
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self._recallTimes[unit.ID] = currentTime |
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return iter(seen.values()) |
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finally: |
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lock.release() |
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def save(self, unit, forceSave=False): |
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"""Store the unit.""" |
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pass |
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def destroy(self, unit): |
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"""Delete the unit.""" |
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unitClass = unit.__class__ |
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lock = self._get_lock(unitClass) |
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try: |
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cache = self._caches[unitClass] |
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if self.nextstore: |
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self.nextstore.destroy(unit) |
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if unit.ID in cache: |
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del cache[unit.ID] |
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del self._recallTimes[unit.ID] |
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finally: |
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lock.release() |
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def reserve(self, unit): |
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"""Reserve storage space for the Unit.""" |
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unitClass = unit.__class__ |
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lock = self._get_lock(unitClass) |
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try: |
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cache = self._caches[unitClass] |
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if self.nextstore: |
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self.nextstore.reserve(unit) |
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cache[unit.ID] = pickle.dumps(unit) |
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self._recallTimes[unit.ID] = datetime.datetime.now() |
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finally: |
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lock.release() |
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def sweep(self, unitClass, lastSweepTime=None): |
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lock = self._get_lock(unitClass) |
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try: |
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cache = self._caches[unitClass] |
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for id in cache.keys(): |
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lastRecall = self._recallTimes.setdefault(id, None) |
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if (lastRecall is None or lastSweepTime is None |
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or lastRecall < lastSweepTime): |
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unit = pickle.loads(cache[id]) |
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if unit.dirty: |
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self.nextstore.save(unit) |
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del cache[id] |
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del self._recallTimes[id] |
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finally: |
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lock.release() |
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def sweep_all(self, lastSweepTime=None): |
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for cls in self._caches: |
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self.sweep(cls, lastSweepTime) |
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def shutdown(self): |
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self.sweep_all() |
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class BurnedProxy(CachingProxy): |
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"""A Caching Proxy Storage Manager which recalls and caches ALL Units. |
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The big performance difference for a burned cache is that, once _any_ |
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Units have been recalled, further recalls won't hit the next store. |
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Notice we didn't say "performance _benefit_" ;) That would depend to |
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a great extent on the proxied store. |
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""" |
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def _icached_units(self, cls, expr=None): |
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cache = self._caches.get(cls, {}) |
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if expr is None: |
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for data in cache.itervalues(): |
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yield pickle.loads(data) |
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else: |
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for data in cache.itervalues(): |
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unit = pickle.loads(data) |
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if expr.evaluate(unit): |
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yield unit |
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|
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def recall(self, unitClass, expr=None): |
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"""Return a Unit iterator.""" |
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lock = self._get_lock(unitClass) |
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try: |
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cache = self._caches[unitClass] |
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if (not cache) and self.nextstore: |
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now = datetime.datetime.now() |
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for unit in self.nextstore.recall(unitClass, None): |
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cache[unit.ID] = pickle.dumps(unit) |
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self._recallTimes[unit.ID] = now |
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return self._icached_units(unitClass, expr) |
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finally: |
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lock.release() |
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class Adapter(object): |
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"""Transform values according to their type. Must be subclassed. |
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|
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In order for your subclass to work, you need to provide functions |
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named 'coerce_' + type, where 'type' refers to the type you wish to |
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support. Replace dots in the type name by underscores. For example, |
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to coerce datetime.date objects, you must provide a function in your |
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subclass named 'coerce_datetime_date'. For builtins, do not include |
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the module name '__builtin__', just use 'coerce_unicode', for example. |
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|
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If you try to coerce a value for whose type you have not provided a |
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coercion function, a TypeError is raised. |
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|
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When writing Adapters for Storage Managers, you should at least |
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provide coerce_* functions for: bool, dict, float, int, list, long, |
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NoneType, str, tuple, and unicode. For most applications, you should |
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also provide: |
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datetime.datetime |
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.date |
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.time |
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.timedelta |
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and: |
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fixedpoint.FixedPoint or decimal.Decimal (preferably both) |
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""" |
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|
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def coerce(self, value, valuetype=None): |
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"""coerce(value, valuetype=None) -> value, coerced by valuetype.""" |
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if valuetype is None: |
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valuetype = type(value) |
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|
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mod = valuetype.__module__ |
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if mod == "__builtin__": |
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xform = "coerce_%s" % valuetype.__name__ |
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else: |
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xform = "coerce_%s_%s" % (mod, valuetype.__name__) |
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xform = xform.replace(".", "_") |
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try: |
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xform = getattr(self, xform) |
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except AttributeError: |
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raise TypeError("'%s' is not handled by %s." % |
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(valuetype, self.__class__)) |
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return xform(value) |
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