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OpenXG-RAN
Commit 563fd66b authored by hardy's avatar hardy
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bring ulsch and dlsch stats for gnb

parent 30c5668b
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Showing with 207 additions and 101 deletions
ci-scripts/ran.py
View file @ 563fd66b
......@@ -483,12 +483,13 @@ class RANManagement():
#stats monitoring during runtime
time.sleep(20)
monitor_file='stats_monitor.py'
monitor_file='../ci-scripts/stats_monitor.py'
conf_file='../ci-scripts/stats_monitor_conf.yaml'
if self.eNB_Stats=='yes':
if (self.air_interface[self.eNB_instance] == 'lte-softmodem') or (self.air_interface[self.eNB_instance] == 'ocp-enb'):
mySSH.command('echo $USER; nohup python3 ../ci-scripts/' + monitor_file + ' enb 2>&1 > enb_stats_monitor_execution.log &', '\$', 5)
mySSH.command('echo $USER; nohup python3 ' + monitor_file + ' ' + conf_file + ' enb 2>&1 > enb_stats_monitor_execution.log &', '\$', 5)
else:
mySSH.command('echo $USER; nohup python3 ../ci-scripts/' + monitor_file + ' gnb 2>&1 > gnb_stats_monitor_execution.log &', '\$', 5)
mySSH.command('echo $USER; nohup python3 ' + monitor_file + ' ' + conf_file + ' gnb 2>&1 > gnb_stats_monitor_execution.log &', '\$', 5)
......
ci-scripts/stats_monitor.py
View file @ 563fd66b
"""
To create graphs and pickle from runtime statistics in L1,MAC,RRC,PDCP files
"""
import subprocess
import time
import shlex
import re
import sys
import matplotlib.pyplot as plt
import pickle
import matplotlib.pyplot as plt
import numpy as np
import os
def collect(d, 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:
d['PHR'].append(int(result.group(1)))
d['bler'].append(float(result.group(2)))
d['mcsoff'].append(int(result.group(3)))
d['mcs'].append(int(result.group(4)))
def graph(d, node_type):
figure, axis = plt.subplots(4, 1,figsize=(10, 10))
major_ticks = np.arange(0, len(d['PHR'])+1, 1)
axis[0].set_xticks(major_ticks)
axis[0].set_xticklabels([])
axis[0].plot(d['PHR'],marker='o')
axis[0].set_xlabel('time')
axis[0].set_ylabel('PHR')
axis[0].set_title("PHR")
major_ticks = np.arange(0, len(d['bler'])+1, 1)
axis[1].set_xticks(major_ticks)
axis[1].set_xticklabels([])
axis[1].plot(d['bler'],marker='o')
axis[1].set_xlabel('time')
axis[1].set_ylabel('bler')
axis[1].set_title("bler")
major_ticks = np.arange(0, len(d['mcsoff'])+1, 1)
axis[2].set_xticks(major_ticks)
axis[2].set_xticklabels([])
axis[2].plot(d['mcsoff'],marker='o')
axis[2].set_xlabel('time')
axis[2].set_ylabel('mcsoff')
axis[2].set_title("mcsoff")
major_ticks = np.arange(0, len(d['mcs'])+1, 1)
axis[3].set_xticks(major_ticks)
axis[3].set_xticklabels([])
axis[3].plot(d['mcs'],marker='o')
axis[3].set_xlabel('time')
axis[3].set_ylabel('mcs')
axis[3].set_title("mcs")
plt.tight_layout()
# Combine all the operations and display
plt.savefig(node_type+'_stats_monitor.png')
plt.show()
if __name__ == "__main__":
import yaml
class StatMonitor():
def __init__(self,cfg_file):
with open(cfg_file,'r') as file:
self.d = yaml.load(file)
for node in self.d:
for metric in self.d[node]:
self.d[node][metric]=[]
def process_gnb (self,node_type,output):
for line in output:
tmp=line.decode("utf-8")
result=re.match(r'^.*\bdlsch_rounds\b ([0-9]+)\/([0-9]+).*\bdlsch_errors\b ([0-9]+)',tmp)
if result is not None:
self.d[node_type]['dlsch_err'].append(int(result.group(3)))
percentage=float(result.group(2))/float(result.group(1))
self.d[node_type]['dlsch_err_perc_round_1'].append(percentage)
result=re.match(r'^.*\bulsch_rounds\b ([0-9]+)\/([0-9]+).*\bulsch_errors\b ([0-9]+)',tmp)
if result is not None:
self.d[node_type]['ulsch_err'].append(int(result.group(3)))
percentage=float(result.group(2))/float(result.group(1))
self.d[node_type]['ulsch_err_perc_round_1'].append(percentage)
def process_enb (self,node_type,output):
for line in output:
tmp=line.decode("utf-8")
result=re.match(r'^.*\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 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()
if node_type=='enb':
self.process_enb(node_type,output)
else: #'gnb'
self.process_gnb(node_type,output)
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()
node_type = sys.argv[1]#enb or gnb
d={}
d['PHR']=[]
d['bler']=[]
d['mcsoff']=[]
d['mcs']=[]
if __name__ == "__main__":
cfg_filename = sys.argv[1] #yaml file as metrics config
node = sys.argv[2]#enb or gnb
mon=StatMonitor(cfg_filename)
cmd='ps aux | grep modem | grep -v grep'
process=subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE)
#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 :
collect(d, node_type)
process=subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE)
mon.collect(node)
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(d, handle, protocol=pickle.HIGHEST_PROTOCOL)
graph(d, node_type)
print('Process stopped')
with open(node+'_stats_monitor.pickle', 'wb') as handle:
pickle.dump(mon.d, handle, protocol=pickle.HIGHEST_PROTOCOL)
mon.graph(node)
ci-scripts/stats_monitor.py.old 0 → 100755
View file @ 563fd66b
import subprocess
import time
import shlex
import re
import sys
import matplotlib.pyplot as plt
import pickle
import numpy as np
import os
def collect(d, 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:
d['PHR'].append(int(result.group(1)))
d['bler'].append(float(result.group(2)))
d['mcsoff'].append(int(result.group(3)))
d['mcs'].append(int(result.group(4)))
def graph(d, node_type):
figure, axis = plt.subplots(4, 1,figsize=(10, 10))
major_ticks = np.arange(0, len(d['PHR'])+1, 1)
axis[0].set_xticks(major_ticks)
axis[0].set_xticklabels([])
axis[0].plot(d['PHR'],marker='o')
axis[0].set_xlabel('time')
axis[0].set_ylabel('PHR')
axis[0].set_title("PHR")
major_ticks = np.arange(0, len(d['bler'])+1, 1)
axis[1].set_xticks(major_ticks)
axis[1].set_xticklabels([])
axis[1].plot(d['bler'],marker='o')
axis[1].set_xlabel('time')
axis[1].set_ylabel('bler')
axis[1].set_title("bler")
major_ticks = np.arange(0, len(d['mcsoff'])+1, 1)
axis[2].set_xticks(major_ticks)
axis[2].set_xticklabels([])
axis[2].plot(d['mcsoff'],marker='o')
axis[2].set_xlabel('time')
axis[2].set_ylabel('mcsoff')
axis[2].set_title("mcsoff")
major_ticks = np.arange(0, len(d['mcs'])+1, 1)
axis[3].set_xticks(major_ticks)
axis[3].set_xticklabels([])
axis[3].plot(d['mcs'],marker='o')
axis[3].set_xlabel('time')
axis[3].set_ylabel('mcs')
axis[3].set_title("mcs")
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
d={}
d['PHR']=[]
d['bler']=[]
d['mcsoff']=[]
d['mcs']=[]
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 :
collect(d, 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(d, handle, protocol=pickle.HIGHEST_PROTOCOL)
graph(d, node_type)
ci-scripts/stats_monitor_conf.yaml
View file @ 563fd66b
......@@ -5,7 +5,7 @@ enb :
mcs:
gnb :
PHR:
bler:
mcsoff:
mcs:
\ No newline at end of file
dlsch_err:
dlsch_err_perc_round_1:
ulsch_err:
ulsch_err_perc_round_1:
\ No newline at end of file
ci-scripts/stats_monitor_dev.py
View file @ 563fd66b
......@@ -19,22 +19,25 @@ class Stat_Monitor():
self.d[node][metric]=[]
def process_enb (self,node_type,output):
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)
def process_gnb (self,node_type,output):
for line in output:
tmp=line.decode("utf-8")
result=re.match(r'^.*\bdlsch_rounds\b ([0-9]+)\/([0-9]+).*\bdlsch_errors\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)))
self.d[node_type]['dlsch_err'].append(int(result.group(3)))
percentage=float(result.group(2))/float(result.group(1))
self.d[node_type]['dlsch_err_perc_round_1'].append(percentage)
result=re.match(r'^.*\bulsch_rounds\b ([0-9]+)\/([0-9]+).*\bulsch_errors\b ([0-9]+)',tmp)
if result is not None:
self.d[node_type]['ulsch_err'].append(int(result.group(3)))
percentage=float(result.group(2))/float(result.group(1))
self.d[node_type]['ulsch_err_perc_round_1'].append(percentage)
def process_gnb (self,node_type,output):
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)
def process_enb (self,node_type,output):
for line in output:
tmp=line.decode("utf-8")
result=re.match(r'^.*\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)))
......
ci-scripts/xml_files/fr1_nsa_2x2_quectel.xml
View file @ 563fd66b
......@@ -122,8 +122,8 @@
<testCase id="070001">
<class>Iperf</class>
<desc>iperf (UL/3Mbps/UDP)(60 sec)(single-ue profile)</desc>
<iperf_args>-u -b 3M -t 60</iperf_args>
<desc>iperf (UL/1Mbps/UDP)(20 sec)(single-ue profile)</desc>
<iperf_args>-u -b 1M -t 20</iperf_args>
<direction>UL</direction>
<id>nrmodule2_quectel</id>
<iperf_packetloss_threshold>5</iperf_packetloss_threshold>
......
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