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parsefio.py
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68 lines (55 loc) · 2.06 KB
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#!/usr/bin/env python3
import sys
import os
import argparse
import csv
import subprocess
import json
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description='Runs FIO jobs specified in a CSV file and parses the results.')
parser.add_argument('out', metavar='<Output Directory>',
help='Output directory for FIO jobs')
(args) = parser.parse_args()
fiojobs = [] # Will hold lists of FIO jobs to run
os.chdir(args.out)
for f in os.listdir(os.getcwd()):
# checking if it is a file
if f.endswith("summary.log"):
fiojobs.append(f)
# Put some basic results in a summary
summary = open("fio_summary.csv", "w")
modes = ['read', 'write', 'trim']
stats = ['iops', 'iops_min', 'iops_max', 'iops_mean', 'iops_stddev',
'bw', 'bw_min', 'bw_max', 'bw_mean', 'bw_dev']
header = ['Test']
for mode in modes:
for stat in stats:
header.append(mode + "_" + stat)
header.append(mode + '_clat_ns_min')
header.append(mode + '_clat_ns_max')
header.append(mode + '_clat_ns_mean')
header.append(mode + '_clat_ns_stddev')
header.append('compress_pct')
summary.write(','.join(header) + "\n")
for logfile in fiojobs:
with open(logfile, "r") as summaryfile:
x = summaryfile.read()
if len(x) > 0:
j = json.loads(x)
for job in j['jobs']:
values = []
values.append(job['jobname'])
for mode in modes:
for stat in stats:
values.append(str(job[mode][stat]))
values.append(str(job[mode]['clat_ns']['min']))
values.append(str(job[mode]['clat_ns']['max']))
values.append(str(job[mode]['clat_ns']['mean']))
values.append(str(job[mode]['clat_ns']['stddev']))
values.append(job['job options']['buffer_compress_percentage'])
summary.write(','.join(values) + "\n")
summaryfile.close()
summary.close()
print("\nComplete\n")
sys.exit()