knative-report/benchmark/classic/data/log_analyze.py
2019-11-03 23:23:00 +01:00

88 lines
2.5 KiB
Python

#!/usr/bin/env python3
import json
import datetime
import re
import pprint
def average(lst: list) -> float:
return sum(lst) / len(lst)
def listtodict(inlist: list) -> dict:
it = iter(inlist)
res_dct = dict(zip(it, it))
return res_dct
def readfile() -> list:
lines = []
with open("log.txt", 'r') as inputFile:
line = inputFile.readline()
while line:
try:
linedict = json.loads(line)
lines.append(linedict)
except json.JSONDecodeError:
continue
finally:
line = inputFile.readline()
return lines
def readconfigdates() -> dict:
dates = {}
with open("dates.txt", 'r') as inputFile:
line = inputFile.readline().rstrip()
currline = 0
while line:
dateformatted = datetime.datetime.strptime(
line, '%Y-%m-%d %H:%M:%S')
dates[currline] = dateformatted
line = inputFile.readline().rstrip()
currline += 1
return dates
def procesfile(file: list, start: datetime, end: datetime) -> dict:
dictofsecs = {}
for line in file:
try:
currdate = line['ts'].split('.')[0].replace('T', ' ')
dateformatted = datetime.datetime.strptime(
currdate, '%Y-%m-%d %H:%M:%S')
if start < dateformatted < end:
message = line['msg']
messagelist = re.split(' |=', message)
messagedict = listtodict(messagelist)
messagedict['ts'] = dateformatted
if 'ObservedStableValue' in messagedict:
if messagedict['ts'] not in dictofsecs:
dictofsecs[messagedict['ts']] = []
dictofsecs[messagedict['ts']].append(
float(messagedict['ObservedStableValue']))
else:
dictofsecs[messagedict['ts']].append(
float(messagedict['ObservedStableValue']))
except Exception as exception:
print(exception)
return dictofsecs
def averagepersec(dictoftimes: dict, shouldprint: bool = False) -> dict:
dictofsecs = {}
for key, value in dictoftimes.items():
dictofsecs[key] = average(value)
if shouldprint:
print(dictofsecs[key])
return dictofsecs
if __name__ == "__main__":
filelines = readfile()
config = readconfigdates()
fitdates = procesfile(filelines, config[0], config[1])
averageofdict = averagepersec(fitdates, True)