diff --git a/ci-scripts/stats_monitor.py b/ci-scripts/stats_monitor.py index 875f40f5e3..ae9b39bfa6 100755 --- a/ci-scripts/stats_monitor.py +++ b/ci-scripts/stats_monitor.py @@ -78,7 +78,7 @@ if __name__ == "__main__": d['mcs']=[] - cmd='ps aux | grep mode | grep -v grep' + cmd='ps aux | grep modem | grep -v grep' process=subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE) output = process.stdout.readlines() while len(output)!=0 : diff --git a/ci-scripts/stats_monitor_conf.yaml b/ci-scripts/stats_monitor_conf.yaml new file mode 100644 index 0000000000..3da7c1e8ba --- /dev/null +++ b/ci-scripts/stats_monitor_conf.yaml @@ -0,0 +1,11 @@ +enb : + PHR: + bler: + mcsoff: + mcs: + +gnb : + PHR: + bler: + mcsoff: + mcs: \ No newline at end of file diff --git a/ci-scripts/stats_monitor_dev.py b/ci-scripts/stats_monitor_dev.py new file mode 100755 index 0000000000..26fc93f486 --- /dev/null +++ b/ci-scripts/stats_monitor_dev.py @@ -0,0 +1,79 @@ +import subprocess +import time +import shlex +import re +import sys +import matplotlib.pyplot as plt +import pickle +import numpy as np +import os +import yaml + + +class Stat_Monitor(): + def __init__(self,): + with open('stats_monitor_conf.yaml','r') as f: + self.d = yaml.load(f) + for node in self.d: + for metric in self.d[node]: + self.d[node][metric]=[] + + + def collect(self,node_type): + if node_type=='enb': + cmd='cat L1_stats.log MAC_stats.log PDCP_stats.log RRC_stats.log' + else: #'gnb' + cmd='cat nrL1_stats.log nrMAC_stats.log nrPDCP_stats.log nrRRC_stats.log' + process=subprocess.Popen(shlex.split(cmd), stdout=subprocess.PIPE) + output = process.stdout.readlines() + for l in output: + tmp=l.decode("utf-8") + result=re.match(rf'^.*\bPHR\b ([0-9]+).+\bbler\b ([0-9]+\.[0-9]+).+\bmcsoff\b ([0-9]+).+\bmcs\b ([0-9]+)',tmp) + if result is not None: + self.d[node_type]['PHR'].append(int(result.group(1))) + self.d[node_type]['bler'].append(float(result.group(2))) + self.d[node_type]['mcsoff'].append(int(result.group(3))) + self.d[node_type]['mcs'].append(int(result.group(4))) + + + def graph(self,node_type): + + col = 1 + figure, axis = plt.subplots(len(self.d[node_type]), col ,figsize=(10, 10)) + i=0 + for metric in self.d[node_type]: + major_ticks = np.arange(0, len(self.d[node_type][metric])+1, 1) + axis[i].set_xticks(major_ticks) + axis[i].set_xticklabels([]) + axis[i].plot(self.d[node_type][metric],marker='o') + axis[i].set_xlabel('time') + axis[i].set_ylabel(metric) + axis[i].set_title(metric) + i+=1 + + plt.tight_layout() + # Combine all the operations and display + plt.savefig(node_type+'_stats_monitor.png') + plt.show() + + +if __name__ == "__main__": + + node_type = sys.argv[1]#enb or gnb + mon=Stat_Monitor() + + #collecting stats when modem process is stopped + cmd='ps aux | grep mode | grep -v grep' + process=subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE) + output = process.stdout.readlines() + while len(output)!=0 : + mon.collect(node_type) + process=subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE) + output = process.stdout.readlines() + time.sleep(1) + print('Process stopped') + with open(node_type+'_stats_monitor.pickle', 'wb') as handle: + pickle.dump(mon.d, handle, protocol=pickle.HIGHEST_PROTOCOL) + mon.graph(node_type) + +