X-Git-Url: https://gerrit.fd.io/r/gitweb?a=blobdiff_plain;f=resources%2Ftools%2Fdash%2Fapp%2Fpal%2Ftrending%2Fgraphs.py;h=36c19495a3ed7597acb4487650d773dd9dfb1c87;hb=72766c8177fb76ac5ca4cbbfe616c19ec4a9a97a;hp=52e86d8e8386183c3c93f6d19c97730c5400afe3;hpb=88853d7d4e4461198213b9db021fe4e4985c9533;p=csit.git
diff --git a/resources/tools/dash/app/pal/trending/graphs.py b/resources/tools/dash/app/pal/trending/graphs.py
index 52e86d8e83..36c19495a3 100644
--- a/resources/tools/dash/app/pal/trending/graphs.py
+++ b/resources/tools/dash/app/pal/trending/graphs.py
@@ -213,8 +213,8 @@ def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
for _, row in df.iterrows():
d_type = "trex" if row["dut_type"] == "none" else row["dut_type"]
hover_itm = (
- f"date: {row['start_time'].strftime('%d-%m-%Y %H:%M:%S')}
"
- f" [{row[_UNIT[ttype]]}]: {row[_VALUE[ttype]]}
"
+ f"date: {row['start_time'].strftime('%Y-%m-%d %H:%M:%S')}
"
+ f" [{row[_UNIT[ttype]]}]: {row[_VALUE[ttype]]:,.0f}
"
f""
f"{d_type}-ref: {row['dut_version']}
"
f"csit-ref: {row['job']}/{row['build']}
"
@@ -223,7 +223,7 @@ def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
if ttype == "mrr":
stdev = (
f"stdev [{row['result_receive_rate_rate_unit']}]: "
- f"{row['result_receive_rate_rate_stdev']}
"
+ f"{row['result_receive_rate_rate_stdev']:,.0f}
"
)
else:
stdev = ""
@@ -238,9 +238,9 @@ def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
for avg, stdev, (_, row) in zip(trend_avg, trend_stdev, df.iterrows()):
d_type = "trex" if row["dut_type"] == "none" else row["dut_type"]
hover_itm = (
- f"date: {row['start_time'].strftime('%d-%m-%Y %H:%M:%S')}
"
- f"trend [pps]: {avg}
"
- f"stdev [pps]: {stdev}
"
+ f"date: {row['start_time'].strftime('%Y-%m-%d %H:%M:%S')}
"
+ f"trend [pps]: {avg:,.0f}
"
+ f"stdev [pps]: {stdev:,.0f}
"
f"{d_type}-ref: {row['dut_version']}
"
f"csit-ref: {row['job']}/{row['build']}
"
f"hosts: {', '.join(row['hosts'])}"
@@ -294,8 +294,8 @@ def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
anomaly_y.append(trend_avg[idx])
anomaly_color.append(_ANOMALY_COLOR[anomaly])
hover_itm = (
- f"date: {x_axis[idx].strftime('%d-%m-%Y %H:%M:%S')}
"
- f"trend [pps]: {trend_avg[idx]}
"
+ f"date: {x_axis[idx].strftime('%Y-%m-%d %H:%M:%S')}
"
+ f"trend [pps]: {trend_avg[idx]:,.0f}
"
f"classification: {anomaly}"
)
if ttype == "pdr-lat":