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