import plotly.graph_objects as go
import pandas as pd
-import re
import hdrh.histogram
import hdrh.codec
hover = list()
customdata = list()
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')}<br>"
- f"<prop> [{row[_UNIT[ttype]]}]: {row[_VALUE[ttype]]}<br>"
+ f"<prop> [{row[_UNIT[ttype]]}]: {row[_VALUE[ttype]]:,.0f}<br>"
f"<stdev>"
- f"{row['dut_type']}-ref: {row['dut_version']}<br>"
+ f"{d_type}-ref: {row['dut_version']}<br>"
f"csit-ref: {row['job']}/{row['build']}<br>"
f"hosts: {', '.join(row['hosts'])}"
)
if ttype == "mrr":
stdev = (
f"stdev [{row['result_receive_rate_rate_unit']}]: "
- f"{row['result_receive_rate_rate_stdev']}<br>"
+ f"{row['result_receive_rate_rate_stdev']:,.0f}<br>"
)
else:
stdev = ""
hover_trend = list()
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')}<br>"
- f"trend [pps]: {avg}<br>"
- f"stdev [pps]: {stdev}<br>"
- f"{row['dut_type']}-ref: {row['dut_version']}<br>"
+ f"trend [pps]: {avg:,.0f}<br>"
+ f"stdev [pps]: {stdev:,.0f}<br>"
+ f"{d_type}-ref: {row['dut_version']}<br>"
f"csit-ref: {row['job']}/{row['build']}<br>"
f"hosts: {', '.join(row['hosts'])}"
)
anomaly_color.append(_ANOMALY_COLOR[anomaly])
hover_itm = (
f"date: {x_axis[idx].strftime('%d-%m-%Y %H:%M:%S')}<br>"
- f"trend [pps]: {trend_avg[idx]}<br>"
+ f"trend [pps]: {trend_avg[idx]:,.0f}<br>"
f"classification: {anomaly}"
)
if ttype == "pdr-lat":