def reset(self, key):
try:
cache_key = COUNTER_CACHE_KEY % key
Count.delete(cache_key)
freq_cache_key = COUNTER_FREQ_CACHE_KEY % key
Count.delete(freq_cache_key)
return True
except :
# Handle Redis failures gracefully
return False
def increment(self, key, participant_identifier, count=1):
if count == 0:
return
cache_key = COUNTER_CACHE_KEY % key
freq_cache_key = COUNTER_FREQ_CACHE_KEY % key
new_value = Count.next( cache_key, participant_identifier, count)
if new_value > count:
Count.next( freq_cache_key, new_value - count, -1 )
Count.next( freq_cache_key, new_value, 1)
def clear(self, key, participant_identifier):
try:
# Remove the direct entry
cache_key = COUNTER_CACHE_KEY % key
freq = Count.get(cache_key, participant_identifier)
Count.deletefield(cache_key, participant_identifier)
# Remove from the histogram
freq_cache_key = COUNTER_FREQ_CACHE_KEY % key
Count.next(freq_cache_key, freq, -1)
except:
# Handle Redis failures gracefully
pass
def reset_pattern(self, pattern_key):
#similar to above, but can pass pattern as arg instead
try:
cache_key = COUNTER_CACHE_KEY % pattern_key
for object in Count.getall(cache_key):
object.delete()
freq_cache_key = COUNTER_FREQ_CACHE_KEY % pattern_key
for object in Count.getall(freq_cache_key):
object.delete()
return True
except :
# Handle Redis failures gracefully
return False
def get_frequencies(self, key):
try:
freq_cache_key = COUNTER_FREQ_CACHE_KEY % key
return dict((int(o.field), int(o.count)) for o in Count.getall(freq_cache_key) if int(o.count) > 0)
except :
# Handle Redis failures gracefully
return tuple()
def get_frequency(self, key, participant_identifier):
try:
cache_key = COUNTER_CACHE_KEY % key
freq = Count.get(cache_key, participant_identifier)
return int(freq) if freq else 0
except :
return 0
def get(self, key):
try:
cache_key = COUNTER_CACHE_KEY % key
return Count.len(cache_key)
except :
return 0
