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OpenXG-RAN
Commit d90f9d8d authored by Robert Schmidt's avatar Robert Schmidt
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CI: show correct Tx Processing in HTML, add processing count number

parent 823aaa70
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Showing with 20 additions and 29 deletions
ci-scripts/datalog_rt_stats.2x2.yaml
View file @ d90f9d8d
......@@ -4,16 +4,14 @@
Title : Processing Time (us)
ColNames :
- Metric
- Average
- Max
- Average vs Reference Deviation (Reference Value ; Acceptability Threshold)
- Average; Max; Count
- Average vs Reference Deviation (Reference Value; Acceptability Threshold)
Ref :
feprx : 120.0
feptx_prec : 8.0
feptx_ofdm : 50.0
feptx_total : 75.0
L1 Tx processing thread 0 : 300.0
L1 Tx processing thread 1 : 300.0
L1 Tx processing : 300.0
DLSCH encoding : 230.0
L1 Rx processing : 175.0
PUSCH inner-receiver : 100.0
......@@ -25,8 +23,7 @@ Threshold :
feptx_prec : 1.25
feptx_ofdm : 1.25
feptx_total : 1.25
L1 Tx processing thread 0 : 1.25
L1 Tx processing thread 1 : 1.25
L1 Tx processing : 1.25
DLSCH encoding : 1.25
L1 Rx processing : 1.25
PUSCH inner-receiver : 1.25
......
ci-scripts/datalog_rt_stats.default.yaml
View file @ d90f9d8d
......@@ -4,16 +4,14 @@
Title : Processing Time (us)
ColNames :
- Metric
- Average
- Max
- Average vs Reference Deviation (Reference Value ; Acceptability Threshold)
- Average; Max; Count
- Average vs Reference Deviation (Reference Value; Acceptability Threshold)
Ref :
feprx : 60.0
feptx_prec : 8.0
feptx_ofdm : 50.0
feptx_total : 75.0
L1 Tx processing thread 0 : 300.0
L1 Tx processing thread 1 : 300.0
L1 Tx processing : 300.0
DLSCH encoding : 230.0
L1 Rx processing : 175.0
PUSCH inner-receiver : 100.0
......@@ -25,8 +23,7 @@ Threshold :
feptx_prec : 1.25
feptx_ofdm : 1.25
feptx_total : 1.25
L1 Tx processing thread 0 : 1.25
L1 Tx processing thread 1 : 1.25
L1 Tx processing : 1.25
DLSCH encoding : 1.25
L1 Rx processing : 1.25
PUSCH inner-receiver : 1.25
......
ci-scripts/html.py
View file @ d90f9d8d
......@@ -478,21 +478,19 @@ class HTMLManagement():
self.htmlFile.write(' </tr>\n')
self.htmlFile.write(' <tr bgcolor = "#33CCFF" >\n')
self.htmlFile.write(' <th colspan="3">'+ DataLog['ColNames'][0] +'</th>\n')
self.htmlFile.write(' <th>' + DataLog['ColNames'][1] + '</th>\n')
self.htmlFile.write(' <th>' + DataLog['ColNames'][2] + '</th>\n')
self.htmlFile.write(' <th colspan=' + str(1+self.htmlUEConnected) + '>'+ DataLog['ColNames'][3] +'</th>\n')
self.htmlFile.write(' <th colspan="2">' + DataLog['ColNames'][1] + '</th>\n')
self.htmlFile.write(' <th colspan=' + str(1+self.htmlUEConnected) + '>'+ DataLog['ColNames'][2] +'</th>\n')
self.htmlFile.write(' </tr>\n')
for k in DataLog['Data']:
# TestRow
self.htmlFile.write(' <tr>\n')
self.htmlFile.write(' <td colspan="3" bgcolor = "lightcyan" >' + k + ' </td>\n')
self.htmlFile.write(' <td bgcolor = "lightcyan" >' + DataLog['Data'][k][0] + ' </td>\n')
self.htmlFile.write(' <td bgcolor = "lightcyan" >' + DataLog['Data'][k][1] + ' </td>\n')
if float(DataLog['Data'][k][2])> DataLog['Threshold'][k]:
self.htmlFile.write(' <th bgcolor = "red" >' + DataLog['Data'][k][2] + ' (Ref = ' + str(DataLog['Ref'][k]) + ' ; Thres = ' +str(DataLog['Threshold'][k])+') ' + '</th>\n')
self.htmlFile.write(' <td bgcolor = "lightcyan" >' + DataLog['Data'][k][0] + '; ' + DataLog['Data'][k][1] + '; ' + DataLog['Data'][k][2] + ' </td>\n')
if float(DataLog['Data'][k][3])> DataLog['Threshold'][k]:
self.htmlFile.write(' <th bgcolor = "red" >' + DataLog['Data'][k][3] + ' (Ref = ' + str(DataLog['Ref'][k]) + ' ; Thres = ' +str(DataLog['Threshold'][k])+') ' + '</th>\n')
else:
self.htmlFile.write(' <th bgcolor = "green" ><font color="white">' + DataLog['Data'][k][2] + ' (Ref = ' + str(DataLog['Ref'][k]) + ' ; Thres = ' +str(DataLog['Threshold'][k])+') ' + '</th>\n')
self.htmlFile.write(' <th bgcolor = "green" ><font color="white">' + DataLog['Data'][k][3] + ' (Ref = ' + str(DataLog['Ref'][k]) + ' ; Thres = ' +str(DataLog['Threshold'][k])+') ' + '</th>\n')
self.htmlFile.write(' </tr>\n')
self.htmlFile.close()
......
ci-scripts/ran.py
View file @ d90f9d8d
......@@ -1125,12 +1125,13 @@ class RANManagement():
datalog_rt_stats['Data']={}
if len(real_time_stats)!=0: #check if dictionary is not empty
for k in real_time_stats:
tmp=re.match(r'^(?P<metric>.*):\s+(?P<avg>\d+\.\d+) us;\s+\d+;\s+(?P<max>\d+\.\d+) us;',real_time_stats[k])
tmp=re.match(r'^(?P<metric>.*):\s+(?P<avg>\d+\.\d+) us;\s+(?P<count>\d+);\s+(?P<max>\d+\.\d+) us;',real_time_stats[k])
if tmp is not None:
metric=tmp.group('metric')
avg=float(tmp.group('avg'))
max=float(tmp.group('max'))
datalog_rt_stats['Data'][metric]=["{:.0f}".format(avg),"{:.0f}".format(max),"{:.2f}".format(avg/datalog_rt_stats['Ref'][metric])]
count=float(tmp.group('count'))
datalog_rt_stats['Data'][metric]=["{:.0f}".format(avg),"{:.0f}".format(max),"{:d}".format(count),"{:.2f}".format(avg/datalog_rt_stats['Ref'][metric])]
#once all metrics are collected, store the data as a class attribute to build a dedicated HTML table afterward
self.datalog_rt_stats=datalog_rt_stats
#check if there is a fail => will render the test as failed
......
ci-scripts/stats_monitor_conf.yaml
View file @ d90f9d8d
......@@ -20,8 +20,7 @@ gnb :
feptx_prec:
feptx_ofdm:
feptx_total:
L1 Tx processing thread 0:
L1 Tx processing thread 1:
L1 Tx processing:
DLSCH encoding:
L1 Rx processing:
PUSCH inner-receiver:
......@@ -40,8 +39,7 @@ gnb :
rt.feptx_ofdm:
rt.feptx_total:
page3:
rt.L1 Tx processing thread 0:
rt.L1 Tx processing thread 1:
rt.L1 Tx processing:
rt.DLSCH encoding:
rt.L1 Rx processing:
page4:
......
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