Extend taggable-mixin to support different Tag models.
Usage is pretty simple. Tag model is default in Taggable constructor but you
can call it with different model like GHOPTaskType that inherits from Tag model.
Both Taggable and Tag models have been updated and they don't use hardcoded Tag
model anymore and instead use cls of class methods or self.__class__. In case
of Taggable it's self.__tag_model.
"Database cache backend."from django.core.cache.backends.base import BaseCachefrom django.db import connection, transaction, DatabaseErrorimport base64, timefrom datetime import datetimetry: import cPickle as pickleexcept ImportError: import pickleclass CacheClass(BaseCache): def __init__(self, table, params): BaseCache.__init__(self, params) self._table = table max_entries = params.get('max_entries', 300) try: self._max_entries = int(max_entries) except (ValueError, TypeError): self._max_entries = 300 cull_frequency = params.get('cull_frequency', 3) try: self._cull_frequency = int(cull_frequency) except (ValueError, TypeError): self._cull_frequency = 3 def get(self, key, default=None): cursor = connection.cursor() cursor.execute("SELECT cache_key, value, expires FROM %s WHERE cache_key = %%s" % self._table, [key]) row = cursor.fetchone() if row is None: return default now = datetime.now() if row[2] < now: cursor.execute("DELETE FROM %s WHERE cache_key = %%s" % self._table, [key]) transaction.commit_unless_managed() return default return pickle.loads(base64.decodestring(row[1])) def set(self, key, value, timeout=None): self._base_set('set', key, value, timeout) def add(self, key, value, timeout=None): return self._base_set('add', key, value, timeout) def _base_set(self, mode, key, value, timeout=None): if timeout is None: timeout = self.default_timeout cursor = connection.cursor() cursor.execute("SELECT COUNT(*) FROM %s" % self._table) num = cursor.fetchone()[0] now = datetime.now().replace(microsecond=0) exp = datetime.fromtimestamp(time.time() + timeout).replace(microsecond=0) if num > self._max_entries: self._cull(cursor, now) encoded = base64.encodestring(pickle.dumps(value, 2)).strip() cursor.execute("SELECT cache_key FROM %s WHERE cache_key = %%s" % self._table, [key]) try: if mode == 'set' and cursor.fetchone(): cursor.execute("UPDATE %s SET value = %%s, expires = %%s WHERE cache_key = %%s" % self._table, [encoded, str(exp), key]) else: cursor.execute("INSERT INTO %s (cache_key, value, expires) VALUES (%%s, %%s, %%s)" % self._table, [key, encoded, str(exp)]) except DatabaseError: # To be threadsafe, updates/inserts are allowed to fail silently return False else: transaction.commit_unless_managed() return True def delete(self, key): cursor = connection.cursor() cursor.execute("DELETE FROM %s WHERE cache_key = %%s" % self._table, [key]) transaction.commit_unless_managed() def has_key(self, key): cursor = connection.cursor() cursor.execute("SELECT cache_key FROM %s WHERE cache_key = %%s" % self._table, [key]) return cursor.fetchone() is not None def _cull(self, cursor, now): if self._cull_frequency == 0: cursor.execute("DELETE FROM %s" % self._table) else: cursor.execute("DELETE FROM %s WHERE expires < %%s" % self._table, [str(now)]) cursor.execute("SELECT COUNT(*) FROM %s" % self._table) num = cursor.fetchone()[0] if num > self._max_entries: cursor.execute("SELECT cache_key FROM %s ORDER BY cache_key LIMIT 1 OFFSET %%s" % self._table, [num / self._cull_frequency]) cursor.execute("DELETE FROM %s WHERE cache_key < %%s" % self._table, [cursor.fetchone()[0]])