"""
"""
-
import plotly.graph_objects as go
import pandas as pd
import re
+import hdrh.histogram
+import hdrh.codec
+
from datetime import datetime
from numpy import isnan
_COLORS = (
- u"#1A1110",
- u"#DA2647",
- u"#214FC6",
- u"#01786F",
- u"#BD8260",
- u"#FFD12A",
- u"#A6E7FF",
- u"#738276",
- u"#C95A49",
- u"#FC5A8D",
- u"#CEC8EF",
- u"#391285",
- u"#6F2DA8",
- u"#FF878D",
- u"#45A27D",
- u"#FFD0B9",
- u"#FD5240",
- u"#DB91EF",
- u"#44D7A8",
- u"#4F86F7",
- u"#84DE02",
- u"#FFCFF1",
- u"#614051"
+ u"#1A1110", u"#DA2647", u"#214FC6", u"#01786F", u"#BD8260", u"#FFD12A",
+ u"#A6E7FF", u"#738276", u"#C95A49", u"#FC5A8D", u"#CEC8EF", u"#391285",
+ u"#6F2DA8", u"#FF878D", u"#45A27D", u"#FFD0B9", u"#FD5240", u"#DB91EF",
+ u"#44D7A8", u"#4F86F7", u"#84DE02", u"#FFCFF1", u"#614051"
)
_ANOMALY_COLOR = {
u"regression": 0.0,
"pdr": "result_pdr_lower_rate_unit",
"pdr-lat": "result_latency_forward_pdr_50_unit"
}
+_LAT_HDRH = ( # Do not change the order
+ "result_latency_forward_pdr_0_hdrh",
+ "result_latency_reverse_pdr_0_hdrh",
+ "result_latency_forward_pdr_10_hdrh",
+ "result_latency_reverse_pdr_10_hdrh",
+ "result_latency_forward_pdr_50_hdrh",
+ "result_latency_reverse_pdr_50_hdrh",
+ "result_latency_forward_pdr_90_hdrh",
+ "result_latency_reverse_pdr_90_hdrh",
+)
+# This value depends on latency stream rate (9001 pps) and duration (5s).
+# Keep it slightly higher to ensure rounding errors to not remove tick mark.
+PERCENTILE_MAX = 99.999501
+
+_GRAPH_LAT_HDRH_DESC = {
+ u"result_latency_forward_pdr_0_hdrh": u"No-load.",
+ u"result_latency_reverse_pdr_0_hdrh": u"No-load.",
+ u"result_latency_forward_pdr_10_hdrh": u"Low-load, 10% PDR.",
+ u"result_latency_reverse_pdr_10_hdrh": u"Low-load, 10% PDR.",
+ u"result_latency_forward_pdr_50_hdrh": u"Mid-load, 50% PDR.",
+ u"result_latency_reverse_pdr_50_hdrh": u"Mid-load, 50% PDR.",
+ u"result_latency_forward_pdr_90_hdrh": u"High-load, 90% PDR.",
+ u"result_latency_reverse_pdr_90_hdrh": u"High-load, 90% PDR."
+}
+
+
+def _get_hdrh_latencies(row: pd.Series, name: str) -> dict:
+ """
+ """
+
+ latencies = {"name": name}
+ for key in _LAT_HDRH:
+ try:
+ latencies[key] = row[key]
+ except KeyError:
+ return None
+
+ return latencies
def _classify_anomalies(data):
return classification, avgs, stdevs
-def trending_tput(data: pd.DataFrame, sel:dict, layout: dict, start: datetime,
- end: datetime):
+def graph_trending_tput(data: pd.DataFrame, sel:dict, layout: dict,
+ start: datetime, end: datetime) -> tuple:
"""
"""
return None, None
def _generate_traces(ttype: str, name: str, df: pd.DataFrame,
- start: datetime, end: datetime, color: str):
+ start: datetime, end: datetime, color: str) -> list:
df = df.dropna(subset=[_VALUE[ttype], ])
if df.empty:
)
hover = list()
+ customdata = list()
for _, row in df.iterrows():
hover_itm = (
f"date: {row['start_time'].strftime('%d-%m-%Y %H:%M:%S')}<br>"
"<prop>", "latency" if ttype == "pdr-lat" else "average"
).replace("<stdev>", stdev)
hover.append(hover_itm)
+ if ttype == "pdr-lat":
+ customdata.append(_get_hdrh_latencies(row, name))
hover_trend = list()
for avg, stdev in zip(trend_avg, trend_stdev):
hoverinfo=u"text+name",
showlegend=True,
legendgroup=name,
+ customdata=customdata
),
go.Scatter( # Trend line
x=x_axis,
u"len": 0.8,
u"title": u"Circles Marking Data Classification",
u"titleside": u"right",
- u"titlefont": {
- u"size": 14
- },
+ # u"titlefont": {
+ # u"size": 14
+ # },
u"tickmode": u"array",
u"tickvals": [0.167, 0.500, 0.833],
u"ticktext": _TICK_TEXT_LAT \
if traces:
if not fig_tput:
fig_tput = go.Figure()
- for trace in traces:
- fig_tput.add_trace(trace)
+ fig_tput.add_traces(traces)
if itm["testtype"] == "pdr":
traces = _generate_traces(
if traces:
if not fig_lat:
fig_lat = go.Figure()
- for trace in traces:
- fig_lat.add_trace(trace)
+ fig_lat.add_traces(traces)
if fig_tput:
fig_tput.update_layout(layout.get("plot-trending-tput", dict()))
fig_lat.update_layout(layout.get("plot-trending-lat", dict()))
return fig_tput, fig_lat
+
+
+def graph_hdrh_latency(data: dict, layout: dict) -> go.Figure:
+ """
+ """
+
+ fig = None
+
+ try:
+ name = data.pop("name")
+ except (KeyError, AttributeError):
+ return None
+
+ traces = list()
+ for idx, (lat_name, lat_hdrh) in enumerate(data.items()):
+ try:
+ decoded = hdrh.histogram.HdrHistogram.decode(lat_hdrh)
+ except (hdrh.codec.HdrLengthException, TypeError) as err:
+ continue
+ previous_x = 0.0
+ prev_perc = 0.0
+ xaxis = list()
+ yaxis = list()
+ hovertext = list()
+ for item in decoded.get_recorded_iterator():
+ # The real value is "percentile".
+ # For 100%, we cut that down to "x_perc" to avoid
+ # infinity.
+ percentile = item.percentile_level_iterated_to
+ x_perc = min(percentile, PERCENTILE_MAX)
+ xaxis.append(previous_x)
+ yaxis.append(item.value_iterated_to)
+ hovertext.append(
+ f"<b>{_GRAPH_LAT_HDRH_DESC[lat_name]}</b><br>"
+ f"Direction: {(u'W-E', u'E-W')[idx % 2]}<br>"
+ f"Percentile: {prev_perc:.5f}-{percentile:.5f}%<br>"
+ f"Latency: {item.value_iterated_to}uSec"
+ )
+ next_x = 100.0 / (100.0 - x_perc)
+ xaxis.append(next_x)
+ yaxis.append(item.value_iterated_to)
+ hovertext.append(
+ f"<b>{_GRAPH_LAT_HDRH_DESC[lat_name]}</b><br>"
+ f"Direction: {(u'W-E', u'E-W')[idx % 2]}<br>"
+ f"Percentile: {prev_perc:.5f}-{percentile:.5f}%<br>"
+ f"Latency: {item.value_iterated_to}uSec"
+ )
+ previous_x = next_x
+ prev_perc = percentile
+
+ traces.append(
+ go.Scatter(
+ x=xaxis,
+ y=yaxis,
+ name=_GRAPH_LAT_HDRH_DESC[lat_name],
+ mode=u"lines",
+ legendgroup=_GRAPH_LAT_HDRH_DESC[lat_name],
+ showlegend=bool(idx % 2),
+ line=dict(
+ color=_COLORS[int(idx/2)],
+ dash=u"solid",
+ width=1 if idx % 2 else 2
+ ),
+ hovertext=hovertext,
+ hoverinfo=u"text"
+ )
+ )
+ if traces:
+ fig = go.Figure()
+ fig.add_traces(traces)
+ layout_hdrh = layout.get("plot-hdrh-latency", None)
+ if lat_hdrh:
+ layout_hdrh["title"]["text"] = f"<b>{name}</b>"
+ fig.update_layout(layout_hdrh)
+
+ return fig
"""
-import json
import pandas as pd
from dash import dcc
from datetime import datetime, timedelta
from ..data.data import Data
-from .graphs import trending_tput
+from .graphs import graph_trending_tput, graph_hdrh_latency
class Layout:
"""
STYLE_HIDEN = {"display": "none"}
- STYLE_BLOCK = {"display": "block"}
- STYLE_INLINE ={"display": "inline-block", "width": "50%"}
+ STYLE_BLOCK = {"display": "block", "vertical-align": "top"}
+ STYLE_INLINE ={
+ "display": "inline-block",
+ "vertical-align": "top",
+ "width": "33%"
+ }
NO_GRAPH = {"data": [], "layout": {}, "frames": []}
def __init__(self, app, html_layout_file, spec_file, graph_layout_file,
html.Div(
id="div-tput-metadata",
children=[
- dcc.Markdown("""
- **Metadata**
-
- Click on data points in the graph.
- """),
+ dcc.Markdown("**Throughput**"),
html.Pre(
- id="tput-metadata"
+ id="tput-metadata",
+ children="Click on data points in the graph"
)
],
style=self.STYLE_HIDEN
html.Div(
id="div-latency-metadata",
children=[
- dcc.Markdown("""
- **Metadata**
-
- Click on data points in the graph.
- """),
+ dcc.Markdown("**Latency**"),
html.Pre(
- id="latency-metadata"
+ id="latency-metadata",
+ children="Click on data points in the graph"
+ )
+ ],
+ style=self.STYLE_HIDEN
+ ),
+ html.Div(
+ id="div-latency-hdrh",
+ children=[
+ dcc.Loading(
+ id="loading-hdrh-latency-graph",
+ children=[
+ dcc.Graph(
+ id="graph-latency-hdrh"
+ )
+ ],
+ type="circle"
)
],
style=self.STYLE_HIDEN
})
elif trigger_id in ("btn-sel-display", "dpr-period"):
- fig_tput, fig_lat = trending_tput(
+ fig_tput, fig_lat = graph_trending_tput(
self.data, store_sel, self.layout, d_start, d_end
)
output.set_values({
new_store_sel.append(item)
store_sel = new_store_sel
if store_sel:
- fig_tput, fig_lat = trending_tput(
+ fig_tput, fig_lat = graph_trending_tput(
self.data, store_sel, self.layout, d_start, d_end
)
output.set_values({
def _show_tput_metadata(hover_data):
if not hover_data:
raise PreventUpdate
- return json.dumps(hover_data, indent=2)
+ return hover_data["points"][0]["text"].replace("<br>", "\n"),
@app.callback(
Output("latency-metadata", "children"),
+ Output("graph-latency-hdrh", "figure"),
+ Output("div-latency-hdrh", "style"),
Input("graph-latency", "clickData")
)
def _show_latency_metadata(hover_data):
if not hover_data:
raise PreventUpdate
- return json.dumps(hover_data, indent=2)
+ graph = graph_hdrh_latency(
+ hover_data["points"][0]["customdata"], self.layout
+ )
+ if not graph:
+ graph = no_update
+ return (
+ hover_data["points"][0]["text"].replace("<br>", "\n"),
+ graph,
+ self.STYLE_INLINE if graph else self.STYLE_HIDEN
+ )
plot-trending-tput:
- title: ""
- titlefont:
- size: 16
+ # title: ""
+ # titlefont:
+ # size: 16
autosize: True
showlegend: True
# width: 1100
- height: 600
+ height: 400
yaxis:
showticklabels: True
tickformat: ".3s"
namelength: -1
plot-trending-lat:
- title: ""
- titlefont:
- size: 16
+ # title: ""
+ # titlefont:
+ # size: 16
autosize: True
showlegend: True
# width: 1100
- height: 600
+ height: 400
yaxis:
showticklabels: True
tickformat: ".3s"
- title: "Latency [us]"
+ title: "Average Latency at 50% PDR [us]"
hoverformat: ".5s"
gridcolor: "rgb(238, 238, 238)"
linecolor: "rgb(238, 238, 238)"
plot_bgcolor: "#fff"
hoverlabel:
namelength: -1
+
+plot-hdrh-latency:
+ title:
+ text: "Latency by Percentile Distribution"
+ xanchor: "center"
+ x: 0.5
+ font:
+ size: 10
+ showlegend: True
+ legend:
+ traceorder: "normal"
+ orientation: "h"
+ # font:
+ # size: 16
+ xanchor: "left"
+ yanchor: "top"
+ x: 0
+ y: -0.25
+ bgcolor: "rgba(255, 255, 255, 0)"
+ bordercolor: "rgba(255, 255, 255, 0)"
+ xaxis:
+ type: "log"
+ title: "Percentile [%]"
+ # titlefont:
+ # size: 14
+ autorange: False
+ fixedrange: True
+ gridcolor: "rgb(230, 230, 230)"
+ linecolor: "rgb(220, 220, 220)"
+ linewidth: 1
+ showgrid: True
+ showline: True
+ showticklabels: True
+ tickcolor: "rgb(220, 220, 220)"
+ tickvals: [1, 2, 1e1, 20, 1e2, 1e3, 1e4, 1e5, 1e6]
+ ticktext: [0, 50, 90, 95, 99, 99.9, 99.99, 99.999, 99.9999]
+ # tickfont:
+ # size: 14
+ yaxis:
+ title: "One-Way Latency per Direction [uSec]"
+ # titlefont:
+ # size: 14
+ gridcolor: "rgb(230, 230, 230)"
+ linecolor: "rgb(220, 220, 220)"
+ linewidth: 1
+ showgrid: True
+ showline: True
+ showticklabels: True
+ tickcolor: "rgb(220, 220, 220)"
+ # tickfont:
+ # size: 14
+ autosize: False
+ # width: 700
+ # height: 700
+ paper_bgcolor: "white"
+ plot_bgcolor: "white"
Code Review / csit.git / commitdiff