knative-report/benchmark/data/process.py
2019-10-02 18:27:25 +02:00

62 lines
1.9 KiB
Python

#!/usr/bin/env python3
import csv
import os
from pprint import pprint
import numpy as np
import matplotlib.pyplot as plt
#Returns array of csv files in current directory
def getFiles():
files = [f for f in os.listdir('.') if os.path.isfile(f)]
return[ f for f in files if f.endswith('.csv') ]
def processFile(fname):
with open(fname,'r') as f:
lines=[]
data=csv.reader(f)
fields=next(data)
responseCodes={}
responsePerSec={}
responseTimes=[]
for row in data:
items=zip(fields,row)
item={}
for(name,value) in items:
item[name]=value.strip()
sec=int(item['offset'].split('.')[0])
if sec not in responsePerSec:
responsePerSec[sec]=[]
else:
responsePerSec[sec].append(item['response-time'])
code=item['status-code']
if code not in responseCodes:
responseCodes[code]=1
else:
responseCodes[code]=responseCodes[code]+1
responseTimes.append(item['response-time'])
if len(responseTimes)!=0:
maxResponse=max(responseTimes)
minResponse=min(responseTimes)
print("Maximum response time was ",maxResponse)
print("Minimum response time was ",minResponse)
else:
print("csv is empty")
pprint(responseCodes)
for sec in responsePerSec:
if len(responsePerSec[sec])!=0:
print(sec, ":")
print(" Maximum:", max(responsePerSec[sec]))
print(" Minimum:", min(responsePerSec[sec]))
print(" Num of responses:", len(responsePerSec[sec]))
else:
print(" empty")
def processAllFiles():
files=getFiles()
for f in files:
print("Processing ", f)
processFile(f)
if __name__ == "__main__":
processAllFiles()