From dc3e9513460be1599b26f032d96e38c98513b45c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Torma=20Krist=C3=B3f?= Date: Tue, 22 Oct 2019 03:03:15 +0200 Subject: [PATCH] output csv --- benchmark/classic/data/process.py | 78 ++++++++++++++----------- benchmark/classic/data/requirements.txt | 2 - 2 files changed, 43 insertions(+), 37 deletions(-) delete mode 100644 benchmark/classic/data/requirements.txt diff --git a/benchmark/classic/data/process.py b/benchmark/classic/data/process.py index 87bfd0c..f5b283f 100644 --- a/benchmark/classic/data/process.py +++ b/benchmark/classic/data/process.py @@ -2,60 +2,68 @@ 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 +# 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') ] + 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=[] + 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]) + 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]=[] + responsePerSec[sec] = [] else: responsePerSec[sec].append(item['response-time']) - code=item['status-code'] + code = item['status-code'] if code not in responseCodes: - responseCodes[code]=1 + responseCodes[code] = 1 else: - responseCodes[code]=responseCodes[code]+1 + 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) + 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) + #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") + if len(responsePerSec[sec]) != 0: + #print(sec, ":") + #print(" Maximum:", max(responsePerSec[sec])) + #print(" Minimum:", min(responsePerSec[sec])) + #print(" Num of responses:", len(responsePerSec[sec])) + print(len(responsePerSec[sec])) + #else: + #print(" empty") + + +def keychars(x): + return int(x.split('.')[1]) + def processAllFiles(): - files=getFiles() + files = sorted(getFiles(), key=keychars) for f in files: - print("Processing ", f) + #print("Processing ", f) processFile(f) + if __name__ == "__main__": processAllFiles() diff --git a/benchmark/classic/data/requirements.txt b/benchmark/classic/data/requirements.txt deleted file mode 100644 index aa094d9..0000000 --- a/benchmark/classic/data/requirements.txt +++ /dev/null @@ -1,2 +0,0 @@ -numpy -matplotlib