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UTI: Small fixes and improvements
[csit.git]
/
resources
/
tools
/
dash
/
app
/
pal
/
trending
/
graphs.py
diff --git
a/resources/tools/dash/app/pal/trending/graphs.py
b/resources/tools/dash/app/pal/trending/graphs.py
index
150b705
..
8950558
100644
(file)
--- a/
resources/tools/dash/app/pal/trending/graphs.py
+++ b/
resources/tools/dash/app/pal/trending/graphs.py
@@
-237,7
+237,10
@@
def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
return list()
x_axis = df["start_time"].tolist()
return list()
x_axis = df["start_time"].tolist()
- y_data = [itm * norm_factor for itm in df[_VALUE[ttype]].tolist()]
+ if ttype == "pdr-lat":
+ y_data = [(itm / norm_factor) for itm in df[_VALUE[ttype]].tolist()]
+ else:
+ y_data = [(itm * norm_factor) for itm in df[_VALUE[ttype]].tolist()]
anomalies, trend_avg, trend_stdev = _classify_anomalies(
{k: v for k, v in zip(x_axis, y_data)}
anomalies, trend_avg, trend_stdev = _classify_anomalies(
{k: v for k, v in zip(x_axis, y_data)}
@@
-245,11
+248,11
@@
def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
hover = list()
customdata = list()
hover = list()
customdata = list()
- for
_, row in df.iterrows(
):
+ for
idx, (_, row) in enumerate(df.iterrows()
):
d_type = "trex" if row["dut_type"] == "none" else row["dut_type"]
hover_itm = (
f"date: {row['start_time'].strftime('%Y-%m-%d %H:%M:%S')}<br>"
d_type = "trex" if row["dut_type"] == "none" else row["dut_type"]
hover_itm = (
f"date: {row['start_time'].strftime('%Y-%m-%d %H:%M:%S')}<br>"
- f"<prop> [{row[_UNIT[ttype]]}]: {
row[_VALUE[ttype]
]:,.0f}<br>"
+ f"<prop> [{row[_UNIT[ttype]]}]: {
y_data[idx
]:,.0f}<br>"
f"<stdev>"
f"{d_type}-ref: {row['dut_version']}<br>"
f"csit-ref: {row['job']}/{row['build']}<br>"
f"<stdev>"
f"{d_type}-ref: {row['dut_version']}<br>"
f"csit-ref: {row['job']}/{row['build']}<br>"