def testRankSubdimensionsRatio(self):
t = str(time.time())
pk = 'test_ratio_rank'
# OVERALL STATS: 529,994 value, 50,000 visitors, 10.6 value per visitor
# Not important, too close to overall
self.whale.count_now(pk, [t, 'a', 'asub1'],
{'value': 54989, 'visitors': 4999}) # 11 value per visitor
# Important, high relative ratio
self.whale.count_now(pk, [t, 'a', 'asub2'],
{'value': 375000, 'visitors': 25000}) # 15 value per visitor
# Important, low relative ratio
self.whale.count_now(pk, [t, 'b'],
{'value': 100000, 'visitors': 20000}) # 5 value per visitor
# Not important, not enough visitors
self.whale.count_now(pk, [t, 'c'],
{'value': 5, 'visitors': 1}) # 5 value per visitor
one_level = self.whale.rank_subdimensions_ratio('test_rank_ratio', 'value', 'visitors',
t, recursive=False)
all_levels = self.whale.rank_subdimensions_ratio(pk, 'value', 'visitors', t)
self.assertEqual(True, maybe_dumps([t, 'a', 'asub1']) not in one_level)
self.assertEqual(all_levels[maybe_dumps([t, 'a', 'asub1'])]['important'], False)
self.assertEqual(all_levels[maybe_dumps([t, 'a', 'asub2'])]['important'], True)
self.assertEqual(all_levels[maybe_dumps([t, 'b'])]['important'], True)
self.assertEqual(all_levels[maybe_dumps([t, 'c'])]['important'], False)
def testRankSubdimensionsRatio(self):
t = str(time.time())
pk = 'test_ratio_rank'
# OVERALL STATS: 529,994 value, 50,000 visitors, 10.6 value per visitor
# Not important, too close to overall
self.whale.count_now(pk, [t, 'a', 'asub1'],
{'value': 54989, 'visitors': 4999}) # 11 value per visitor
# Important, high relative ratio
self.whale.count_now(pk, [t, 'a', 'asub2'],
{'value': 375000, 'visitors': 25000}) # 15 value per visitor
# Important, low relative ratio
self.whale.count_now(pk, [t, 'b'],
{'value': 100000, 'visitors': 20000}) # 5 value per visitor
# Not important, not enough visitors
self.whale.count_now(pk, [t, 'c'],
{'value': 5, 'visitors': 1}) # 5 value per visitor
one_level = self.whale.rank_subdimensions_ratio('test_rank_ratio', 'value', 'visitors',
t, recursive=False)
all_levels = self.whale.rank_subdimensions_ratio(pk, 'value', 'visitors', t)
self.assertEqual(True, maybe_dumps([t, 'a', 'asub1']) not in one_level)
self.assertEqual(all_levels[maybe_dumps([t, 'a', 'asub1'])]['important'], False)
self.assertEqual(all_levels[maybe_dumps([t, 'a', 'asub2'])]['important'], True)
self.assertEqual(all_levels[maybe_dumps([t, 'b'])]['important'], True)
self.assertEqual(all_levels[maybe_dumps([t, 'c'])]['important'], False)
def testRankSubdimensionsScalar(self):
t = str(time.time())
self.whale.count_now('test_rank', [t, 'a', 'asub1'], {'value': 1})
self.whale.count_now('test_rank', [t, 'a', 'asub2'], {'value': 30})
self.whale.count_now('test_rank', [t, 'b'], {'value': 80})
self.whale.count_now('test_rank', [t, 'c'], {'value': 10})
ranked = self.whale.rank_subdimensions_scalar('test_rank', t, 'value')
self.assertEqual(ranked[maybe_dumps([t, 'a'])]['important'], False)
self.assertEqual(ranked[maybe_dumps([t, 'a', 'asub1'])]['important'], False)
self.assertEqual(ranked[maybe_dumps([t, 'a', 'asub2'])]['important'], True)
self.assertEqual(ranked[maybe_dumps([t, 'b'])]['important'], True)
self.assertEqual(ranked[maybe_dumps([t, 'c'])]['important'], False)
def testRankSubdimensionsScalar(self):
t = str(time.time())
self.whale.count_now('test_rank', [t, 'a', 'asub1'], {'value': 1})
self.whale.count_now('test_rank', [t, 'a', 'asub2'], {'value': 30})
self.whale.count_now('test_rank', [t, 'b'], {'value': 80})
self.whale.count_now('test_rank', [t, 'c'], {'value': 10})
ranked = self.whale.rank_subdimensions_scalar('test_rank', t, 'value')
self.assertEqual(ranked[maybe_dumps([t, 'a'])]['important'], False)
self.assertEqual(ranked[maybe_dumps([t, 'a', 'asub1'])]['important'], False)
self.assertEqual(ranked[maybe_dumps([t, 'a', 'asub2'])]['important'], True)
self.assertEqual(ranked[maybe_dumps([t, 'b'])]['important'], True)
self.assertEqual(ranked[maybe_dumps([t, 'c'])]['important'], False)
def testPlotpointsDepth(self):
t = str(time.time())
self.whale.count_now('test_depth', {t: 'a'})
self.whale.count_now('test_depth', {t: 'b'})
self.whale.count_now('test_depth', {t: 'b'})
self.whale.count_now('test_depth', {t: {'c': 'child'}})
# Test 1 level deep
plotpoints = self.whale.plotpoints('test_depth', t, points_type=list, depth=1)
self.assertEqual(plotpoints[maybe_dumps([t, 'a'])]['hits'][-1][1], 1)
self.assertEqual(plotpoints[maybe_dumps([t, 'b'])]['hits'][-1][1], 2)
self.assertEqual(plotpoints[maybe_dumps([t, 'c'])]['hits'][-1][1], 1)
self.assertEqual(False, maybe_dumps([t, 'c', 'child']) in plotpoints)
# Test 2 levels deep
plotpoints = self.whale.plotpoints('test_depth', t, points_type=list, depth=2)
self.assertEqual(True, maybe_dumps([t, 'c', 'child']) in plotpoints)
self.assertEqual(plotpoints[maybe_dumps([t, 'c', 'child'])]['hits'][-1][1], 1)
# Test ranking and limiting i.e assign rank on the basis of value and then extract top limit candidate
plotpoints = self.whale.plotpoints('test_depth', t, points_type=list,depth=1, limit=2)
#self.assertEqual(plotpoints[maybe_dumps([t, 'b'])]['hits'][-1][1], 2)
self.assertEqual(True, maybe_dumps([t, 'a']) not in plotpoints)
self.assertEqual(True, maybe_dumps([t, 'c']) not in plotpoints)
def testPlotpointsDepth(self):
t = str(time.time())
self.whale.count_now('test_depth', {t: 'a'})
self.whale.count_now('test_depth', {t: 'b'})
self.whale.count_now('test_depth', {t: 'b'})
self.whale.count_now('test_depth', {t: {'c': 'child'}})
# Test 1 level deep
plotpoints = self.whale.plotpoints('test_depth', t, points_type=list, depth=1)
self.assertEqual(plotpoints[maybe_dumps([t, 'a'])]['hits'][-1][1], 1)
self.assertEqual(plotpoints[maybe_dumps([t, 'b'])]['hits'][-1][1], 2)
self.assertEqual(plotpoints[maybe_dumps([t, 'c'])]['hits'][-1][1], 1)
self.assertEqual(False, maybe_dumps([t, 'c', 'child']) in plotpoints)
# Test 2 levels deep
plotpoints = self.whale.plotpoints('test_depth', t, points_type=list, depth=2)
self.assertEqual(True, maybe_dumps([t, 'c', 'child']) in plotpoints)
self.assertEqual(plotpoints[maybe_dumps([t, 'c', 'child'])]['hits'][-1][1], 1)
# Test ranking and limiting
plotpoints = self.whale.plotpoints('test_depth', t, points_type=list,
depth=1, limit=2)
self.assertEqual(plotpoints[maybe_dumps([t, 'b'])]['hits'][-1][1], 2)
self.assertNotIn(maybe_dumps([t, 'a']), plotpoints)
self.assertNotIn(maybe_dumps([t, 'c']), plotpoints)
