def testSetKV(self):
x = globalconfig()
x.setKV('a', 1)
x.setKV('b', 3)
y = globalconfig()
y.setKV('dd', 4)
result = {'a': 1, 'b': 3, 'dd': 4}
self.assertEqual(y.getKVs(), result)
import wavefront_api_client as wave_api
import datetime as dt
import logging
from metadata.globalconfig import globalconfig
import urllib.parse
# logging
logging.basicConfig(format='%(asctime)s %(message)s')
logger = logging.getLogger('apis')
globalConfig = globalconfig()
#set up python Wavefront client
client = None
def dequote(url):
durl = urllib.parse.unquote(url)
durl = durl.replace('+',' ')
return durl
def createWavefrontClient():
config = wave_api.Configuration()
config.host = globalConfig.getValueByKey('WAVEFRONT_ENDPOINT')
token = globalConfig.getValueByKey('WAVEFRONT_TOKEN')
if (config.host=='' or token==''):
logger.error("wavefront endpoint or token is null")
return None
try:
global client
def TwoDataSetSameDistribution(dataset1, dataset2, alpha=DEFAULT_PAIRWISE_THRESHOLD, algorithm=ANY, bound= IS_UPPER_BOUND):
config = globalconfig()
size = min(len(dataset1),len(dataset2))
p = 0
if algorithm == WILCOXON:
try:
stat, p = wilcoxon(dataset1, dataset2,"pratt", True)
if p >= alpha:
return True, p, WILCOXON,size>=config.getValueByKey("MIN_WILCOXON_DATA_POINTS")
else:
return False, p, WILCOXON, size>=config.getValueByKey("MIN_WILCOXON_DATA_POINTS")
except Exception as e:
try:
if (bound== IS_UPPER_BOUND):
stat, p = mannwhitneyu(dataset1, dataset2,True, 'greater')
elif bound == IS_LOWER_BOUND :
stat, p = mannwhitneyu(dataset1, dataset2,True, 'less')
else:
stat, p = mannwhitneyu(dataset1, dataset2,True, 'two-sided')
if p >= alpha:
return True, p , MANN_WHITE, size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
else:
return False, p, MANN_WHITE, size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
except Exception as e:
return True, 0, ERROR , size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
elif algorithm == KRUSKAL:
try:
stat, p = kruskal(dataset1, dataset2)
if p >= alpha:
return True, p,KRUSKAL, size>=config.getValueByKey("MIN_KRUSKAL_DATA_POINTS")
else:
return False, p,KRUSKAL, size>=config.getValueByKey("MIN_KRUSKAL_DATA_POINTS")
except Exception as e:
try:
if (bound== IS_UPPER_BOUND):
stat, p = mannwhitneyu(dataset1, dataset2,True, 'greater')
elif bound == IS_LOWER_BOUND :
stat, p = mannwhitneyu(dataset1, dataset2,True, 'less')
else:
stat, p = mannwhitneyu(dataset1, dataset2,True, 'two-sided')
if p >= alpha:
return True, p , MANN_WHITE, size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
else:
return False, p, MANN_WHITE, size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
except Exception as e:
return True, 0, ERROR, size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
elif algorithm == ALL:
try:
if (bound== IS_UPPER_BOUND):
stat, p = mannwhitneyu(dataset1, dataset2,True, 'greater')
elif bound == IS_LOWER_BOUND :
stat, p = mannwhitneyu(dataset1, dataset2,True, 'less')
else:
stat, p = mannwhitneyu(dataset1, dataset2,True, 'two-sided')
if p >= alpha:
stat, p = wilcoxon(dataset1, dataset2,"pratt", True)
if p >= alpha:
stat, p = kruskal(dataset1, dataset2)
if p >= alpha:
return True, p, ALL, size>=config.getValueByKey("MIN_KRUSKAL_DATA_POINTS")
else:
return False, p, KRUSKAL, size>=config.getValueByKey("MIN_KRUSKAL_DATA_POINTS")
else:
return False, p, WILCOXON, size>=config.getValueByKey("MIN_WILCOXON_DATA_POINTS")
else:
return False, p, MANN_WHITE, size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
except Exception as e:
try:
if (bound== IS_UPPER_BOUND):
stat, p = mannwhitneyu(dataset1, dataset2,True, 'greater')
elif bound == IS_LOWER_BOUND :
stat, p = mannwhitneyu(dataset1, dataset2,True, 'less')
else:
stat, p = mannwhitneyu(dataset1, dataset2,True, 'two-sided')
if p >= alpha:
return True, p , MANN_WHITE, size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
else:
return False, p, MANN_WHITE, size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
except Exception as e:
return True, 0, ERROR , MANN_WHITE, size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
elif algorithm == ANY:
try:
if (bound== IS_UPPER_BOUND):
stat, p = mannwhitneyu(dataset1, dataset2,True, 'greater')
elif bound == IS_LOWER_BOUND :
stat, p = mannwhitneyu(dataset1, dataset2,True, 'less')
else:
stat, p = mannwhitneyu(dataset1, dataset2,True, 'two-sided')
if p >= alpha:
return True, p, MANN_WHITE, size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
stat, p = wilcoxon(dataset1, dataset2,"pratt", True)
if p >= alpha:
return True, p, WILCOXON, size>=config.getValueByKey("MIN_WILCOXON_DATA_POINTS")
stat, p = kruskal(dataset1, dataset2)
if p >= alpha:
return True, p, KRUSKAL, size>=config.getValueByKey("MIN_KRUSKAL_DATA_POINTS")
return False, p, ANY, size>=config.getValueByKey("MIN_KRUSKAL_DATA_POINTS")
except Exception as e:
try:
if (bound== IS_UPPER_BOUND):
stat, p = mannwhitneyu(dataset1, dataset2,True, 'greater')
elif bound == IS_LOWER_BOUND :
stat, p = mannwhitneyu(dataset1, dataset2,True, 'less')
else:
stat, p = mannwhitneyu(dataset1, dataset2,True, 'two-sided')
if p >= alpha:
return True, p , MANN_WHITE, size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
else:
return False, p, MANN_WHITE, size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
except Exception as e:
return True, 0, ERROR , size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
else:
try:
if (bound== IS_UPPER_BOUND):
stat, p = mannwhitneyu(dataset1, dataset2,True, 'greater')
elif bound == IS_LOWER_BOUND :
stat, p = mannwhitneyu(dataset1, dataset2,True, 'less')
else:
stat, p = mannwhitneyu(dataset1, dataset2,True, 'two-sided')
if p >= alpha:
return True, p , MANN_WHITE, size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
else:
return False, p, MANN_WHITE, size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
except Exception as e:
if str(e) == "All numbers are identical in mannwhitneyu" :
return True, 0, MANN_WHITE, size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
return True, 0, ERROR, size>=config.getValueByKey("MIN_MANN_WHITE_DATA_POINTS")
