OPMAAS-4180
parent
e5c27650ce
commit
585ea28bd1
|
|
@ -12,7 +12,8 @@ import dynatraceAPI
|
||||||
# import types
|
# import types
|
||||||
from KRParser import krparser
|
from KRParser import krparser
|
||||||
#from key_request_parser import krparser
|
#from key_request_parser import krparser
|
||||||
|
import time
|
||||||
|
#from datetime import datetime
|
||||||
warnings.filterwarnings("ignore")
|
warnings.filterwarnings("ignore")
|
||||||
|
|
||||||
|
|
||||||
|
|
@ -48,16 +49,17 @@ def write_to_excel(ignored, noData1M, noData1W, all_TP_slos):
|
||||||
all_TP_slos.to_excel(writer, sheet_name='TP_')
|
all_TP_slos.to_excel(writer, sheet_name='TP_')
|
||||||
|
|
||||||
|
|
||||||
writer.save()
|
writer._save()
|
||||||
writer.close()
|
writer.close()
|
||||||
|
|
||||||
|
|
||||||
def getStats(krs):
|
def getStats(krs):
|
||||||
|
|
||||||
|
ts = time.time()
|
||||||
|
epoch = datetime.datetime.now().timestamp()
|
||||||
tmpIgnoredList=[]
|
tmpIgnoredList=[]
|
||||||
for kr in [a for a in krs if len(a.keyRequests) == 0]:
|
for kr in [a for a in krs if len(a.keyRequests) == 0]:
|
||||||
tmpIgnoredList.append([kr.metadata["sloName"], kr.metadata["sloId"], kr.metadata["env"],"","","","",kr.metadata["filter"], kr.metadata["metricExpression"]])
|
tmpIgnoredList.append([kr.metadata["sloName"], kr.metadata["sloId"], kr.metadata["env"],"","","","","",kr.metadata["filter"], kr.metadata["metricExpression"], "", epoch])
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
@ -66,23 +68,27 @@ def getStats(krs):
|
||||||
for k in kr.getKeyRequestByHasData("1M"):
|
for k in kr.getKeyRequestByHasData("1M"):
|
||||||
noData1M.append([kr.metadata["sloName"], kr.metadata["sloId"], kr.metadata["env"], k["displayName"], k["entityId"],k["services"][0]["displayName"] if len(k["services"]) > 0 else "",
|
noData1M.append([kr.metadata["sloName"], kr.metadata["sloId"], kr.metadata["env"], k["displayName"], k["entityId"],k["services"][0]["displayName"] if len(k["services"]) > 0 else "",
|
||||||
[x for x in k["services"][0]["tags"] if x['key']=="compass-id"][0]["value"] if len(k["services"]) > 0 and len(k["services"][0]["tags"]) > 0 and len([x for x in k["services"][0]["tags"] if x['key']=="compass-id"]) > 0 else "",
|
[x for x in k["services"][0]["tags"] if x['key']=="compass-id"][0]["value"] if len(k["services"]) > 0 and len(k["services"][0]["tags"]) > 0 and len([x for x in k["services"][0]["tags"] if x['key']=="compass-id"]) > 0 else "",
|
||||||
|
k["_mInSloDef"],
|
||||||
kr.metadata["filter"],
|
kr.metadata["filter"],
|
||||||
kr.metadata["metricExpression"]])
|
kr.metadata["metricExpression"],
|
||||||
|
kr.matchedGroups._list[0]['pattern'], epoch])
|
||||||
|
|
||||||
noData1W=[]
|
noData1W=[]
|
||||||
for kr in [s for s in krs if s.hasNoData("1W")==True]:
|
for kr in [s for s in krs if s.hasNoData("1W")==True]:
|
||||||
for k in kr.getKeyRequestByHasData("1W"):
|
for k in kr.getKeyRequestByHasData("1W"):
|
||||||
noData1W.append([kr.metadata["sloName"], kr.metadata["sloId"], kr.metadata["env"], k["displayName"], k["entityId"], k["services"][0]["displayName"] if len(k["services"]) > 0 else "",
|
noData1W.append([kr.metadata["sloName"], kr.metadata["sloId"], kr.metadata["env"], k["displayName"], k["entityId"], k["services"][0]["displayName"] if len(k["services"]) > 0 else "",
|
||||||
[x for x in k["services"][0]["tags"] if x['key']=="compass-id"][0]["value"] if len(k["services"]) > 0 and len(k["services"][0]["tags"]) > 0 and len([x for x in k["services"][0]["tags"] if x['key']=="compass-id"]) > 0 else "",
|
[x for x in k["services"][0]["tags"] if x['key']=="compass-id"][0]["value"] if len(k["services"]) > 0 and len(k["services"][0]["tags"]) > 0 and len([x for x in k["services"][0]["tags"] if x['key']=="compass-id"]) > 0 else "",
|
||||||
|
k["_mInSloDef"],
|
||||||
kr.metadata["filter"],
|
kr.metadata["filter"],
|
||||||
kr.metadata["metricExpression"]])
|
kr.metadata["metricExpression"],
|
||||||
|
kr.matchedGroups._list[0]['pattern'], epoch])
|
||||||
|
|
||||||
# noData1W=[]
|
# noData1W=[]
|
||||||
# for kr in [s for s in krs if s.hasNoData1WKeyRequests()==True]:
|
# for kr in [s for s in krs if s.hasNoData1WKeyRequests()==True]:
|
||||||
# for k in kr.getNoData1WKeyRequests():
|
# for k in kr.getNoData1WKeyRequests():
|
||||||
# noData1W.append([kr.metadata["sloName"], kr.metadata["env"], k["displayName"], k["entityId"], kr.metadata["filter"], kr.metadata["metricExpression"]])
|
# noData1W.append([kr.metadata["sloName"], kr.metadata["env"], k["displayName"], k["entityId"], kr.metadata["filter"], kr.metadata["metricExpression"]])
|
||||||
|
|
||||||
columns =['slo', 'sloID', 'env', 'displayName','entityId','service','compass-id','filter', 'metricExpression']
|
columns =['slo', 'sloID', 'env', 'displayName','entityId','service','compass-id','InSloDef','filter', 'metricExpression','pattern', 'timestamp']
|
||||||
ignored=pd.DataFrame(tmpIgnoredList, columns=columns)
|
ignored=pd.DataFrame(tmpIgnoredList, columns=columns)
|
||||||
noData_1M=pd.DataFrame(noData1M, columns = columns)
|
noData_1M=pd.DataFrame(noData1M, columns = columns)
|
||||||
noData_1W=pd.DataFrame(noData1W, columns = columns)
|
noData_1W=pd.DataFrame(noData1W, columns = columns)
|
||||||
|
|
@ -94,9 +100,10 @@ def getStats(krs):
|
||||||
k["count"]["1W"], k["count"]["1M"],
|
k["count"]["1W"], k["count"]["1M"],
|
||||||
k["services"][0]["displayName"] if len(k["services"]) > 0 else "",
|
k["services"][0]["displayName"] if len(k["services"]) > 0 else "",
|
||||||
[x for x in k["services"][0]["tags"] if x['key']=="compass-id"][0]["value"] if len(k["services"]) > 0 and len(k["services"][0]["tags"]) > 0 and len([x for x in k["services"][0]["tags"] if x['key']=="compass-id"]) > 0 else "",
|
[x for x in k["services"][0]["tags"] if x['key']=="compass-id"][0]["value"] if len(k["services"]) > 0 and len(k["services"][0]["tags"]) > 0 and len([x for x in k["services"][0]["tags"] if x['key']=="compass-id"]) > 0 else "",
|
||||||
kr.metadata["filter"], kr.metadata["metricExpression"]])
|
k["_mInSloDef"],
|
||||||
|
kr.metadata["filter"], kr.metadata["metricExpression"], kr.matchedGroups._list[0]['pattern'], epoch])
|
||||||
|
|
||||||
columns_ext =['slo', 'sloID', 'env', 'displayName','entityId','Count_1W', 'Count_1M','service','compass-id','filter', 'metricExpression']
|
columns_ext =['slo', 'sloID', 'env', 'displayName','entityId','Count_1W', 'Count_1M','service','compass-id','InSloDef', 'filter', 'metricExpression', 'pattern', 'timestamp']
|
||||||
all_TP_slos=pd.DataFrame(allTPSlos, columns = columns_ext)
|
all_TP_slos=pd.DataFrame(allTPSlos, columns = columns_ext)
|
||||||
|
|
||||||
return ignored, noData_1M, noData_1W, all_TP_slos
|
return ignored, noData_1M, noData_1W, all_TP_slos
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue