blob: 9929aa187d954cc059d544731525ce4d3babce92 (
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import json
import pickle
import os
import datetime
with open("fio_result.json") as fio_raw:
fio_data = json.load(fio_raw)
r_iops = []
r_io_bytes = []
r_io_runtime = []
r_lat = []
w_iops = []
w_io_bytes = []
w_io_runtime = []
w_lat = []
total_jobs = len(fio_data["jobs"])
for x in range(0, int(total_jobs)):
r_iops.append(fio_data["jobs"][x]["read"]["iops"])
r_io_bytes.append(fio_data["jobs"][x]["read"]["io_bytes"])
r_io_runtime.append(fio_data["jobs"][x]["read"]["runtime"])
r_lat.append(fio_data["jobs"][x]["read"]["lat"]["mean"])
w_iops.append(fio_data["jobs"][x]["write"]["iops"])
w_io_bytes.append(fio_data["jobs"][x]["write"]["io_bytes"])
w_io_runtime.append(fio_data["jobs"][x]["write"]["runtime"])
w_lat.append(fio_data["jobs"][x]["write"]["lat"]["mean"])
FIO_result_dict = {}
for x in range(0, total_jobs):
FIO_result_dict['Job_' + str(x)] = {}
FIO_result_dict['Job_' + str(x)]['read'] = {}
FIO_result_dict['Job_' + str(x)]['read']['Total_IO_Bytes'] = r_io_bytes[x]
FIO_result_dict['Job_' + str(x)]['read']['IO/sec'] = r_iops[x]
FIO_result_dict['Job_' + str(x)]['read']['IO_runtime (millisec)'] = r_io_runtime[x]
FIO_result_dict['Job_' + str(x)]['read']['mean_IO_latenchy (microsec)'] = r_lat[x]
FIO_result_dict['Job_' + str(x)]['write'] = {}
FIO_result_dict['Job_' + str(x)]['write']['Total_IO_Bytes'] = w_io_bytes[x]
FIO_result_dict['Job_' + str(x)]['write']['IO/sec'] = w_iops[x]
FIO_result_dict['Job_' + str(x)]['write']['IO_runtime (millisec)'] = w_io_runtime[x]
FIO_result_dict['Job_' + str(x)]['write']['mean_IO_latenchy (microsec)'] = w_lat[x]
host_name = (os.popen("hostname").read().rstrip())
report_time = str(datetime.datetime.utcnow().isoformat())
os.system("mv fio_result.json " + str(host_name) + "-" + report_time + ".log")
with open('./result_temp', 'w + ')as out_fio_result:
pickle.dump(FIO_result_dict, out_fio_result)
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