"""Implementation of graphs for trending data.
"""
+import logging
import plotly.graph_objects as go
import pandas as pd
y_data = [(v * norm_factor) for v in df[C.VALUE[ttype]].tolist()]
units = df[C.UNIT[ttype]].unique().tolist()
- anomalies, trend_avg, trend_stdev = classify_anomalies(
- {k: v for k, v in zip(x_axis, y_data)}
- )
+ try:
+ anomalies, trend_avg, trend_stdev = classify_anomalies(
+ {k: v for k, v in zip(x_axis, y_data)}
+ )
+ except ValueError as err:
+ logging.error(err)
+ return list(), list()
hover = list()
customdata = list()
customdata_samples = list()
name_lst = name.split("-")
for idx, (_, row) in enumerate(df.iterrows()):
+ h_tput, h_band, h_lat = str(), str(), str()
+ if ttype in ("mrr", "mrr-bandwidth"):
+ h_tput = (
+ f"tput avg [{row['result_receive_rate_rate_unit']}]: "
+ f"{row['result_receive_rate_rate_avg']:,.0f}<br>"
+ f"tput stdev [{row['result_receive_rate_rate_unit']}]: "
+ f"{row['result_receive_rate_rate_stdev']:,.0f}<br>"
+ )
+ if pd.notna(row["result_receive_rate_bandwidth_avg"]):
+ h_band = (
+ f"bandwidth avg "
+ f"[{row['result_receive_rate_bandwidth_unit']}]: "
+ f"{row['result_receive_rate_bandwidth_avg']:,.0f}<br>"
+ f"bandwidth stdev "
+ f"[{row['result_receive_rate_bandwidth_unit']}]: "
+ f"{row['result_receive_rate_bandwidth_stdev']:,.0f}<br>"
+ )
+ elif ttype in ("ndr", "ndr-bandwidth"):
+ h_tput = (
+ f"tput [{row['result_ndr_lower_rate_unit']}]: "
+ f"{row['result_ndr_lower_rate_value']:,.0f}<br>"
+ )
+ if pd.notna(row["result_ndr_lower_bandwidth_value"]):
+ h_band = (
+ f"bandwidth [{row['result_ndr_lower_bandwidth_unit']}]:"
+ f" {row['result_ndr_lower_bandwidth_value']:,.0f}<br>"
+ )
+ elif ttype in ("pdr", "pdr-bandwidth", "latency"):
+ h_tput = (
+ f"tput [{row['result_pdr_lower_rate_unit']}]: "
+ f"{row['result_pdr_lower_rate_value']:,.0f}<br>"
+ )
+ if pd.notna(row["result_pdr_lower_bandwidth_value"]):
+ h_band = (
+ f"bandwidth [{row['result_pdr_lower_bandwidth_unit']}]:"
+ f" {row['result_pdr_lower_bandwidth_value']:,.0f}<br>"
+ )
+ if pd.notna(row["result_latency_forward_pdr_50_avg"]):
+ h_lat = (
+ f"latency "
+ f"[{row['result_latency_forward_pdr_50_unit']}]: "
+ f"{row['result_latency_forward_pdr_50_avg']:,.0f}<br>"
+ )
+ elif ttype in ("hoststack-cps", "hoststack-rps",
+ "hoststack-cps-bandwidth",
+ "hoststack-rps-bandwidth", "hoststack-latency"):
+ h_tput = (
+ f"tput [{row['result_rate_unit']}]: "
+ f"{row['result_rate_value']:,.0f}<br>"
+ )
+ h_band = (
+ f"bandwidth [{row['result_bandwidth_unit']}]: "
+ f"{row['result_bandwidth_value']:,.0f}<br>"
+ )
+ h_lat = (
+ f"latency [{row['result_latency_unit']}]: "
+ f"{row['result_latency_value']:,.0f}<br>"
+ )
+ elif ttype in ("hoststack-bps", ):
+ h_band = (
+ f"bandwidth [{row['result_bandwidth_unit']}]: "
+ f"{row['result_bandwidth_value']:,.0f}<br>"
+ )
hover_itm = (
f"dut: {name_lst[0]}<br>"
f"infra: {'-'.join(name_lst[1:5])}<br>"
f"test: {'-'.join(name_lst[5:])}<br>"
f"date: {row['start_time'].strftime('%Y-%m-%d %H:%M:%S')}<br>"
- f"<prop> [{row[C.UNIT[ttype]]}]: {y_data[idx]:,.0f}<br>"
- f"<stdev>"
- f"<additional-info>"
+ f"{h_tput}{h_band}{h_lat}"
f"{row['dut_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']:,.0f}<br>"
- )
- else:
- stdev = str()
- if ttype in ("hoststack-cps", "hoststack-rps"):
- add_info = (
- f"bandwidth [{row[C.UNIT['hoststack-bps']]}]: "
- f"{row[C.VALUE['hoststack-bps']]:,.0f}<br>"
- f"latency [{row[C.UNIT['hoststack-latency']]}]: "
- f"{row[C.VALUE['hoststack-latency']]:,.0f}<br>"
- )
- elif ttype in ("ndr", "pdr"): # Add mrr
- test_type = f"{ttype}-bandwidth"
- add_info = (
- f"bandwidth [{row[C.UNIT[test_type]]}]: "
- f"{row[C.VALUE[test_type]]:,.0f}<br>"
- )
- else:
- add_info = str()
- hover_itm = hover_itm.replace(
- "<prop>", "latency" if ttype == "latency" else "average"
- ).replace("<stdev>", stdev).replace("<additional-info>", add_info)
hover.append(hover_itm)
if ttype == "latency":
customdata_samples.append(get_hdrh_latencies(row, name))
fig_tput = go.Figure()
fig_tput.add_traces(traces)
- if ttype in ("ndr", "pdr"): # Add mrr
+ if ttype in ("ndr", "pdr", "mrr", "hoststack-cps", "hoststack-rps"):
traces, _ = _generate_trending_traces(
f"{ttype}-bandwidth",
itm["id"],
fig_band = go.Figure()
fig_band.add_traces(traces)
- if itm["testtype"] == "pdr":
+ if ttype in ("pdr", "hoststack-cps", "hoststack-rps"):
traces, _ = _generate_trending_traces(
- "latency",
+ "latency" if ttype == "pdr" else "hoststack-latency",
itm["id"],
df,
get_color(idx),
Code Review / csit.git / blobdiff