本文整理匯總了Python中whale.Whale.all_subdimensions方法的典型用法代碼示例。如果您正苦於以下問題：Python Whale.all_subdimensions方法的具體用法？Python Whale.all_subdimensions怎麽用？Python Whale.all_subdimensions使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類whale.Whale的用法示例。
在下文中一共展示了Whale.all_subdimensions方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: TestHailWHale
# 需要導入模塊: from whale import Whale [as 別名]
# 或者: from whale.Whale import all_subdimensions [as 別名]
class TestHailWHale(unittest.TestCase):
def setUp(self):
from hail import Hail
from whale import Whale
self.hail = Hail()
self.whale = Whale()
def testGetSubdimensions(self):
self.whale.count_now("test", {"a": 1, "b": 2})
subs = self.whale.get_subdimensions("test")
assert ["a"] in subs
assert ["b"] in subs
def testGetAllSubdimensions(self):
self.whale.count_now("test", {"a": 1, "b": 2})
subs = self.whale.all_subdimensions("test")
assert ["a"] in subs
assert ["a", "1"] in subs
assert ["b"] in subs
assert ["b", "2"] in subs
def testCrunch(self):
# Unique key for every test
t = str(time.time())
self.whale.count_now("test_crunch", [t, "a"], {"value": 5})
self.whale.count_now("test_crunch", [t, "b"], {"value": 1})
self.whale.count_now("test_crunch", [t, "c"], {"value": 15})
data = self.whale.crunch("test_crunch", [t], "value")示例2: TestHailWhale
# 需要導入模塊: from whale import Whale [as 別名]
# 或者: from whale.Whale import all_subdimensions [as 別名]
class TestHailWhale(unittest.TestCase):
def setUp(self):
from hail import Hail
from whale import Whale
self.hail = Hail()
self.whale = Whale()
def testGetSubdimensions(self):
t = 'subs_%s' % str(time.time())
self.whale.count_now(t, {'a': 1, 'b': 2})
subs = self.whale.get_subdimensions(t)
assert('a' in subs)
assert('b' in subs)
def testGetAllSubdimensions(self):
t = 'all_subs_%s' % str(time.time())
self.whale.count_now(t, {'a': 1, 'b': 2})
subs = self.whale.all_subdimensions(t)
assert('a' in subs)
assert(['a', '1'] in subs)
assert('b' in subs)
assert(['b', '2'] in subs)
def testPlotpoints(self):
t = str(time.time())
for i in range(5):
self.whale.count_now('test_plotpoints', t, {'hits': 1, 'values': 5})
plotpoints = self.whale.plotpoints('test_plotpoints', t, ['hits', 'values'], points_type=list)
self.assertEqual(plotpoints[t]['hits'][-1][1], 5)
self.assertEqual(plotpoints[t]['values'][-1][1], 25)
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.assertEqual(True, maybe_dumps([t, 'a']) not in plotpoints)
self.assertEqual(True, maybe_dumps([t, 'c']) not in plotpoints)
def testRatioPlotpoints(self):
t = str(time.time())
for i in range(5):
self.whale.count_now('test_ratio', t, {'hit': 1, 'value': 5})
plotpoints = self.whale.plotpoints('test_ratio', t, ['hit', 'value', 'value/hit'], points_type=list)
self.assertEqual(plotpoints[t]['hit'][-1][1], 5)
self.assertEqual(plotpoints[t]['value'][-1][1], 25)
self.assertEqual(plotpoints[t]['value/hit'][-1][1], 5)
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 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
#.........這裏部分代碼省略.........