dL = DimensionListModel('days')
try:
dL.save( getTimestamp.gettimeStampIn_Days( flattenedJson['item_created'] ) )
except:
print "DimensionListModel: no time given at"
"""
""" now we want a log for each user and each item with the corresponding seen items or users respectiveley """
if (SAVE_DIMENSION_LIST):
dimension = 'user_ids'
dL = DimensionListModel( dimension, mode = 'redis' )
if(debug):
print "userid:\t" + str(flattenedJson['client_id'])
dL.save( dimension_id = flattenedJson['client_id'], timestamp = timestamp_sec )
if( SAVE_HADOOP_SINK ):
if ( ('item_id' in flattenedJson) and ('client_id' in flattenedJson) ):
if ( 519516260 == int(flattenedJson['client_id']) ):
print ""
#print int(flattenedJson['item_id'])
hS.save_mode1(int(flattenedJson['client_id']), int(flattenedJson['item_id']), 1)
#_mysql.connection.query()
#import logging
#logging.basicConfig(filename='output.log',level=logging.DEBUG)
class TestDimensionListModel(unittest.TestCase):
def setUp(self):
print "setting up database"
config_global.cassandra_default_keyspace = 'unitTest'
sK = Setup_Keyspaces()
dM = dimensionListsMigration()
try:
self.dbconn = cql.connect(config_local.cassandra_host, config_local.cassandra_port)
self.cursor = self.dbconn.cursor()
except:
print "not able to create a database connection"
self.cursor.execute("USE " + config_global.cassandra_default_keyspace)
print "setting up database done"
def save_test_data(self, timestamp_start = 4000, time_stamp_range = 5, id_range = 2):
""" save some sample data """
for i in xrange(time_stamp_range):
curr_timestamp = timestamp_start + i
for user_id in xrange(id_range):
self.dL.save(user_id, curr_timestamp)
def testSaveDimensionListRangeBySeconds(self):
""" test if the stream of information is written as wished
"""
dimension = 'user_ids' # save user ids
self.dL = DimensionListModel(dimension, 'cassandra') # create the model
timestamp_start = 4000
time_stamp_range = 50
id_range = 98
self.save_test_data(timestamp_start, time_stamp_range, id_range)
id_stats = self.dL.getByTime(timestamp_start + 1, timestamp_start + 2)
self.assertEqual(id_stats[u'user_ids_by_seconds_4001'][0], 0, "the entries are not equal")
self.assertEqual(len(id_stats[u'user_ids_by_seconds_4001']), id_range, "the list has the wrong length")
desired_length = 5
id_stats = self.dL.getByTime(timestamp_start, timestamp_start + desired_length)
self.assertEqual(len(id_stats), desired_length, "the requested list has not {} entries".format(desired_length))
def testGetDimensionListRangeByMinutes(self):
""" test if the stream of information is written as wished
"""
dimension = 'user_ids'
self.dL = DimensionListModel(dimension, 'cassandra')
self.dL.save(dimension_id=1, timestamp=59)
self.dL.save(dimension_id=2, timestamp=59)
self.dL.save(dimension_id=3, timestamp=59)
self.dL.save(dimension_id=1, timestamp=61)
self.dL.save(dimension_id=4, timestamp=3000)
id_stats = self.dL.getByTime(0, 1, binSize='minutes')
self.assertEquals(3, len(id_stats[u'user_ids_by_minutes_0']), "wrong length")
id_stats = self.dL.getByTime(1, 2, binSize='minutes')
self.assertEquals(1, len(id_stats[u'user_ids_by_minutes_1']), "wrong length")
id_stats = self.dL.getByTime(0, 2, binSize='minutes')
self.assertEquals(1, len(id_stats[u'user_ids_by_minutes_1']), "wrong length")
self.assertEquals(3, len(id_stats[u'user_ids_by_minutes_0']), "wrong length")
def testGetDimensionListRangeByHours(self):
""" test if the stream of information is written as wished
"""
dimension = 'user_ids'
self.dL = DimensionListModel(dimension, 'cassandra')
self.dL.save(dimension_id=1, timestamp=59)
self.dL.save(dimension_id=2, timestamp=59)
self.dL.save(dimension_id=3, timestamp=59)
self.dL.save(dimension_id=1, timestamp=61)
self.dL.save(dimension_id=4, timestamp=3000)
#### hours ####
id_stats = self.dL.getByTime(0, 1, binSize='hours')
self.assertEquals(4, len(id_stats[u'user_ids_by_hours_0']), "wrong length")
self.dL.save(dimension_id=4, timestamp=4000)
id_stats = self.dL.getByTime(1, 2, binSize='hours', renew=True)
#print mylist
self.assertEquals(1, len(id_stats[u'user_ids_by_hours_1']), "wrong length")
self.dL.save(dimension_id=3, timestamp=4000)
id_stats = self.dL.getByTime(1, 2, binSize='hours', renew=True)
self.assertEquals(2, len(id_stats[u'user_ids_by_hours_1']), "wrong length")
def testGetDimensionListRangeByDay(self):
""" test if the stream of information is written as wished
"""
dimension = 'user_ids'
self.dL = DimensionListModel(dimension, 'cassandra')
#self.save_test_data(timestamp_start, time_stamp_range, id_range)
self.dL.save(dimension_id=1, timestamp=59)
self.dL.save(dimension_id=2, timestamp=59)
self.dL.save(dimension_id=3, timestamp=59)
self.dL.save(dimension_id=1, timestamp=61)
#self.dL.save(dimension_id=1, timestamp=3000)
#self.dL.save(dimension_id=2, timestamp=3000)
#self.dL.save(dimension_id=3, timestamp=3000)
self.dL.save(dimension_id=4, timestamp=3000)
####### days
#id_stats = self.dL.getByTime(0, 2, binSize = 'days')
#print id_stats
#self.assertEquals(4, len(id_stats[u'user_ids_by_days_0']), "wrong length")
#print id_stats
#self.assertEquals(1, len(id_stats), "wrong length")
# save second based data for hour one
timestamp_start = 86401
timestamp_start = 90000
time_stamp_range = 5
id_range = 10
self.save_test_data(timestamp_start, time_stamp_range, id_range)
id_stats = self.dL.getByTime(0, 2, binSize = 'days')
self.assertEquals(2, len(id_stats), "wrong length")
# self.assertEquals(id_range, len(id_stats[u'user_ids_by_days_1']), "wrong length")
id_stats = self.dL.getByTime(1, 2, binSize = 'days')
self.assertEquals(1, len(id_stats), "wrong length")
print id_stats
#self.assertEquals(id_range, len(id_stats[u'user_ids_by_days_1']), "wrong length")
def testSetComputedIds(self):
dimension = 'user_ids'
dL = DimensionListModel(dimension, mode = 'cassandra')
rangeStart = 0
rangeEnd = 10
binSize = 'minutes'
dL.setComputedIds(dimension, rangeStart, rangeEnd, binSize)
r = dL.getComputedIds(dimension, rangeStart, rangeEnd, binSize)
print r
self.assertEqual(rangeEnd, len(r) )
rangeEnd = 5
binSize = 'hours'
r = dL.getComputedIds(dimension, rangeStart, rangeEnd, binSize)
""" nothing is yet computed for hours """
self.assertEqual(0, len(r) )
dL.setComputedIds(dimension, rangeStart, rangeEnd, binSize)
r = dL.getComputedIds(dimension, rangeStart, rangeEnd, binSize)
print r
self.assertEqual(rangeEnd, len(r) )
def test_Binify_Minutes(self):
""" this function has a stupid name, but will get data from one dimensionList an will aggregate it
"""
self.dL = DimensionListModel('user_ids', mode='cassandra')
binSize = 'minutes'
start_seconds = 58
end_seconds = 61
for i in xrange(start_seconds, end_seconds):
for user_id in xrange(int(uniform(1, 6))):
curr_timestamp = i
self.dL.save(user_id, curr_timestamp)
list = self.dL.getByTime(45, 75, 'seconds')
#self.dL.getByTime(timestampStart, timestampEnd, binSize)
#print list
""" save the data """
binified = self.dL.binify(binSize, 0, 1)
print binified
self.assertIn(u'user_ids_by_seconds_58', binified)
self.assertIn(u'user_ids_by_seconds_59', binified)
self.assertNotIn(u'user_ids_by_seconds_60', binified)
binified = self.dL.binify(binSize, 1, 2)
self.assertNotIn(u'user_ids_by_seconds_58', binified)
self.assertNotIn(u'user_ids_by_seconds_59', binified)
self.assertIn(u'user_ids_by_seconds_60', binified)
print binified
def test_Binify_Hours(self):
""" this function has a stupid name, but will get data from one dimensionList an will aggregate it
"""
self.dL = DimensionListModel('user_ids', mode='cassandra')
binSize = 'hours'
start_seconds = 58
end_seconds = 61
for i in xrange(start_seconds, end_seconds):
for user_id in xrange(int(uniform(1, 6))):
curr_timestamp = i
self.dL.save(user_id, curr_timestamp)
start_seconds = 3600
end_seconds = start_seconds + 1
for i in xrange(start_seconds, end_seconds):
for user_id in xrange(int(uniform(1, 6))):
curr_timestamp = i
self.dL.save(user_id, curr_timestamp)
binified = self.dL.binify(binSize, 1, 2)
self.assertIn(u'user_ids_by_seconds_3600', binified)
binified = self.dL.binify(binSize, 0, 1)
print binified
self.assertIn(u'user_ids_by_seconds_58', binified)
self.assertIn(u'user_ids_by_seconds_59', binified)
self.assertIn(u'user_ids_by_seconds_60', binified)
self.assertNotIn(u'user_ids_by_seconds_3600', binified)
def test_Binify_Days(self):
""" this function has a stupid name, but will get data from one dimensionList an will aggregate it
"""
self.dL = DimensionListModel('user_ids', mode='cassandra')
binSize = 'days'
start_seconds = 58
end_seconds = 61
for i in xrange(start_seconds, end_seconds):
for user_id in xrange(int(uniform(1, 6))):
curr_timestamp = i
self.dL.save(user_id, curr_timestamp)
start_seconds = 86400
end_seconds = start_seconds + 1
for i in xrange(start_seconds, end_seconds):
for user_id in xrange(int(uniform(1, 6))):
curr_timestamp = i
self.dL.save(user_id, curr_timestamp)
""" save the data """
binified = self.dL.binify(binSize, 0, 1)
print binified
self.assertIn(u'user_ids_by_seconds_58', binified)
self.assertIn(u'user_ids_by_seconds_59', binified)
self.assertIn(u'user_ids_by_seconds_60', binified)
self.assertNotIn(u'user_ids_by_seconds_86400', binified)
binified = self.dL.binify(binSize, 1, 2)
self.assertIn(u'user_ids_by_seconds_86400', binified)
binified = self.dL.binify(binSize, 0, 2)
print binified
self.assertIn(u'user_ids_by_seconds_58', binified)
self.assertIn(u'user_ids_by_seconds_59', binified)
self.assertIn(u'user_ids_by_seconds_60', binified)
self.assertIn(u'user_ids_by_seconds_86400', binified)
def _test_Binify_Performance(self):
""" this function has a stupid name, but will get data from one dimensionList an will aggregate it
"""
self.dL = DimensionListModel('user_ids', mode='cassandra')
binSize = 'days'
start_seconds = 58
end_seconds = 90000
for i in xrange(start_seconds, end_seconds):
for user_id in xrange(int(uniform(1, 6))):
curr_timestamp = i
self.dL.save(user_id, curr_timestamp)
""" save the data """
binified = self.dL.binify(binSize, 0, 1)
print binified
self.assertIn(u'user_ids_by_seconds_58', binified)
self.assertIn(u'user_ids_by_seconds_59', binified)
self.assertIn(u'user_ids_by_seconds_60', binified)
self.assertNotIn(u'user_ids_by_seconds_86400', binified)
binified = self.dL.binify(binSize, 1, 2)
self.assertIn(u'user_ids_by_seconds_86400', binified)