def setUp(self):
print "setting up database"
config_global.cassandra_default_keyspace = 'unitTest'
sK = Setup_Keyspaces()
dM = DistributedCountersMigration()
flattenedJson = {'item_url': u'http://www.ksta.de/html/fotolines/1317623400963/rahmen.shtml?1',
'item_recommendable': True, 'item_title': u'Die Hoch\xadzeit der Herzogin von Alba', 'item_created':
1318402695, 'impression_id': 100001, 'item_id': u'51079963', 'config_recommend': True, 'client_id':
49217133, 'msg': u'impression', 'domain_id': u'418'}
self.dC = distributedCounters( flattenedJson, timestamp = 1 )
def testGetMostImportant(self):
flattenedJson = {'item_created':
1318402695, 'impression_id': 100001, 'item_id': u'1', 'config_recommend': True, 'client_id':
10, 'msg': u'impression' }
dC = distributedCounters(flattenedJson, 1)
dC.increment_by_collumn()
""" user id 1 """
flattenedJson = {'item_created':
1318402696, 'impression_id': 100002, 'item_id': u'2', 'config_recommend': True, 'client_id':
10, 'msg': u'impression' }
dC = distributedCounters(flattenedJson, 2)
dC.increment_by_collumn()
""" user id 2 """
flattenedJson = {'item_created':
1318402697, 'impression_id': 100002, 'item_id': u'2', 'config_recommend': True, 'client_id':
20, 'msg': u'impression' }
dC = distributedCounters(flattenedJson, 2)
dC.increment_by_collumn()
flattenedJson = {'item_created':
1318402698, 'impression_id': 100002, 'item_id': u'2', 'config_recommend': True, 'client_id':
20, 'msg': u'impression'}
dC = distributedCounters(flattenedJson, 2)
dC.increment_by_collumn()
flattenedJson = {'item_created':
1318402698, 'impression_id': 100002, 'item_id': u'2', 'config_recommend': True, 'client_id':
20, 'msg': u'impression'}
dC = distributedCounters(flattenedJson, 2)
dC.increment_by_collumn()
flattenedJson = {'item_created':
1318402698, 'impression_id': 100002, 'item_id': u'2', 'config_recommend': True, 'client_id':
30, 'msg': u'impression'}
dC = distributedCounters(flattenedJson, 2)
dC.increment_by_collumn()
flattenedJson = {'item_created':
1318402696, 'impression_id': 100002, 'item_id': u'2', 'config_recommend': True, 'client_id':
2, 'msg': u'impression', 'domain_id': u'418'}
dC = distributedCounters(flattenedJson, 4000)
dC.increment_by_collumn()
dimension = 'user_ids'
binSize = 'minutes'
timestampFrom = 0
#print "most important"
#print self.dC.getMostImportant(dimension, binSize, timestampFrom)
dimension = 'user_ids'
binSize = 'minutes'
timestampFrom = 0
timestampTo = 5
print "most important"
print self.dC.getMostImportant(dimension, binSize, timestampFrom, timestampTo)
dimension = 'user_ids'
binSize = 'hours'
timestampFrom = 0
print "most important"
print self.dC.getMostImportant(dimension, binSize, timestampFrom)
dimension = 'user_ids'
binSize = 'hours'
timestampFrom = 0
timestampTo = 2
print "most important"
print self.dC.getMostImportant(dimension, binSize, timestampFrom, timestampTo)
print "user_id:\t" + str(flattenedJson['client_id']) except: print "ItemsByUser: no item given" try: #uBI = UserByItem(item_id = flattenedJson['item_id']) #uBI.save( user_id = flattenedJson['client_id'] ) pass except: print "UsersByItem: no user given" if (SAVE_DISTRIBUTED_COUNTER): try: dC = distributedCounters(flattenedJson, timestamp_sec) dC.increment_by_collumn() """ now we are doing some general statistics: most important users most important items """ except: if(debug): print flattenedJson print "problem with distributed counters" """ dimList = ['client_id', 'item_id']
print len( userList )
for userList_element in userList:
#print userList_element
#print len( userList[userList_element] )
#print userList[userList_element]
pass
second_computation = time.time() - second_computation
print second_computation
dimension = 'user_ids'
binSize = 'hours'
timestampFrom = 0
print "most important"
dC = distributedCounters()
most_important_users = dC.getMostImportant(dimension, binSize, 366560, 366561)
#for most_important_users_element in most_important_users:
#print "most important users"
#print most_important_users_element
#print most_important_users[most_important_users_element]
#print "most important users"
#print len(most_important_users)
#print most_important_users
