62 lines
2.1 KiB
Python
62 lines
2.1 KiB
Python
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import numpy as np
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import os as os
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import matplotlib.pyplot as plt
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from subprocess import call, check_call
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from subprocess import check_output
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class RefreshSetCsvAggregator:
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def __init__(self, yml, test_name, dest_dir):
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# csv_file="c2s_seq_1.csv"
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# minimum delay to observe to identify the beginning of a block
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self.paths_used=open("paths_used.log", "a")
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self.pcap_file=dest_dir+"/client.pcap"
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self.base_dir = os.path.dirname(self.pcap_file)
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working_dir = os.getcwd()
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os.chdir(self.base_dir)
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check_call(["/usr/local/bin/mptcptrace" , "-f", os.path.basename(self.pcap_file) , "-G20", "-F3", "-r7", "-s", "-S", "-a", "-w2"])
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csv_content = check_output(["sudo", "tcptrace", "-l", "--csv", os.path.basename(self.pcap_file)])
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with (open("tcptrace.csv", "w")) as f:
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f.write(csv_content)
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time=os.system("cat stats_1.csv | grep Time | cut -d \";\" -f 4 >> /home/mininet/minitopo/src/times.log")
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os.chdir(working_dir)
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# for refresh_set:
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#self.headers = [ "decision", "port", "metric", "path" ]
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#self.log = open(dest_dir+"/refresh_set_aggregator.log","w")
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#self.csv_file=dest_dir+"/"+"refresh_set.csv"
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#csv_content = check_output(["grep", "csv", dest_dir+"/upmc.log"])
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#with open(self.csv_file,"w") as f:
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# f.write(csv_content)
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#self.a = np.genfromtxt (self.csv_file, delimiter=",")[:,1:]
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#self.a=np.array(self.a, dtype=int)
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#self.extract_data()
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def __del__(self):
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self.paths_used.close()
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def extract_data(self):
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decisions = np.unique(self.a[:,0])
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print decisions
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paths_used = []
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for decision in decisions:
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paths = np.array(filter(lambda row: row[0]==decision, self.a))
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print "paths for decision " + str(decision)
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print paths
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unique_paths = np.unique(paths[:, 3])
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print "unique paths:"
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print unique_paths
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print len(unique_paths)
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paths_used.append(len(unique_paths))
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print >>self.paths_used, paths_used
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print np.array(paths_used).argmax()
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def __str__(self):
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return "Nothing here, change it in mpRefreshSetCsv.py"
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#return self.csv_file
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def plot(self):
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pass
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