refactor stat_monitor

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 :

ci-scripts/stats_monitor_conf.yaml

@@ -0,0 +1,11 @@
+enb :
+  PHR:
+  bler:
+  mcsoff:
+  mcs:  
+
+gnb :
+  PHR:
+  bler:
+  mcsoff:
+  mcs:

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)
+
+