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OpenXG-RAN
Commit 0654f3fc authored by hardy's avatar hardy
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case where data is not found : do not insert row, do not update charts

parent 14cc352a
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Showing with 25 additions and 22 deletions
ci-scripts/cls_rt_monitor.py
View file @ 0654f3fc
......@@ -172,13 +172,16 @@ def build_RT_Row(Branch,Commit,keys,filename):
f.close()
for k in keys:
tmp=re.match(r'^(?P<metric>.*):\s+(?P<avg>\d+\.\d+) us;\s+\d+;\s+(?P<max>\d+\.\d+) us;',real_time_stats[k])
metric=tmp.group('metric')
avg=tmp.group('avg')
max=tmp.group('max')
row.append(float(avg))
row.append(float(max))
tmp=re.match(r'^(?P<metric>.*):\s+(?P<avg>\d+\.\d+) us;\s+\d+;\s+(?P<max>\d+\.\d+) us;',real_time_stats[k])
if tmp is not None:
metric=tmp.group('metric')
avg=tmp.group('avg')
max=tmp.group('max')
row.append(float(avg))
row.append(float(max))
if len(row)==3: #if row was not updated (missing data for ex), then return an empty row
row=[]
return row
#-----------------------------------------------------------
......@@ -294,23 +297,23 @@ def gNB_RT_monitor(ranBranch, ranCommitID, eNBlogFile):
#open gsheet
gRT=gSheet("/home/oaicicd/ci_gsheet_creds.json", 'RealTime Monitor', 'timeseries', columns, 10000, 50)
#insert row
#build row, but insert row and update charts only if data were found
row=build_RT_Row(ranBranch,ranCommitID,keys,eNBlogFile)
gRT.insertRow(row)
#updating charts
#will plot avg and max on the same chart, these 2 columns have to be side by side
#spreadsheet , chart name, chart type, x title , y title, start row inc header, end row, start col, end col
gRT.gChart('timeseries', 'feprx', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 3, 4)
gRT.gChart('timeseries', 'feptx_prec', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 5, 6)
gRT.gChart('timeseries', 'feptx_ofdm', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 7, 8)
gRT.gChart('timeseries', 'feptx_total', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 9, 10)
gRT.gChart('timeseries', 'L1 Tx proc', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 11, 12)
gRT.gChart('timeseries', 'DLSCH enc', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 13, 14)
gRT.gChart('timeseries', 'L1 Rx proc', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 15, 16)
gRT.gChart('timeseries', 'PUSCH inner-rec', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 17, 18)
gRT.gChart('timeseries', 'PUSCH dec', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 19, 20)
########################
if len(row)!=0:
gRT.insertRow(row)
#updating charts
#will plot avg and max on the same chart, these 2 columns have to be side by side
#spreadsheet , chart name, chart type, x title , y title, start row inc header, end row, start col, end col
gRT.gChart('timeseries', 'feprx', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 3, 4)
gRT.gChart('timeseries', 'feptx_prec', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 5, 6)
gRT.gChart('timeseries', 'feptx_ofdm', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 7, 8)
gRT.gChart('timeseries', 'feptx_total', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 9, 10)
gRT.gChart('timeseries', 'L1 Tx proc', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 11, 12)
gRT.gChart('timeseries', 'DLSCH enc', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 13, 14)
gRT.gChart('timeseries', 'L1 Rx proc', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 15, 16)
gRT.gChart('timeseries', 'PUSCH inner-rec', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 17, 18)
gRT.gChart('timeseries', 'PUSCH dec', 'COLUMN', 'CI RUNs DateTime' , 'ProcessingTime (us)' , 0, 1000, 19, 20)
########################
......
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