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58 lines
1.9 KiB
58 lines
1.9 KiB
3 years ago
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import os
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import sys
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import numpy as np
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from collections import defaultdict
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#import matplotlib.pyplot as plt
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#cmd1='grep "outbound|80||%s" istio-log/%s | grep "8012::capacity::"|awk -F "::" \'{print $2 " " $4}\'' % (function, files[i])
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def def_value():
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return 0
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def parse_file(file_dir):
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running_time_dict = defaultdict(def_value)
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queuing_times_dict = defaultdict(def_value)
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runnable_times_dict = defaultdict(def_value)
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blocked_times_dict = defaultdict(def_value)
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initializing_times_dict = defaultdict(def_value)
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running_times = []
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queuing_times = []
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runnable_times = []
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blocked_times = []
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initializing_times = []
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fo = open(file_dir, "r+")
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next(fo)
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for line in fo:
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t = line.split(",")
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id = t[0]
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running_time_dict[id] += int(t[8])
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queuing_times_dict[id] += int(t[5])
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runnable_times_dict[id] += int(t[7])
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blocked_times_dict[id] += int(t[9])
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initializing_times_dict[id] += int(t[6])
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for key,value in running_time_dict.items():
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running_times.append(value)
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for key,value in queuing_times_dict.items():
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queuing_times.append(value)
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for key,value in runnable_times_dict.items():
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runnable_times.append(value)
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for key,value in blocked_times_dict.items():
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blocked_times.append(value)
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for key,value in initializing_times_dict.items():
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initializing_times.append(value)
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#return np.median(running_times), np.median(queuing_times), np.median(runnable_times), np.median(blocked_times), np.median(initializing_times)
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print(np.median(running_times), np.median(queuing_times), np.median(runnable_times), np.median(blocked_times), np.median(initializing_times))
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#print(initializing_times)
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if __name__ == "__main__":
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import json
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argv = sys.argv[1:]
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if len(argv) < 1:
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print("usage ", sys.argv[0], " file dir")
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sys.exit()
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#m_running_t, m_queuing_t, m_runnable_t, m_blocked_t, m_initializing_t = parse_file(argv[0])
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parse_file(argv[0])
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#print(m_running_t, m_queuing_t, m_runnable_t, m_blocked_t, m_initializing_t)
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