REGEX_NIC = re.compile(r'(\d*ge\dp\d\D*\d*[a-z]*)-')
+# 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
+
def generate_plots(spec, data):
"""Generate all plots specified in the specification file.
for item in decoded.get_recorded_iterator():
percentile = item.percentile_level_iterated_to
- if percentile > 99.9999999:
- continue
xaxis.append(previous_x)
yaxis.append(item.value_iterated_to)
hovertext.append(
fig = plgo.Figure()
layout = deepcopy(plot[u"layout"])
- xaxis_max = 0
for color, graph in enumerate(graphs):
for idx, direction in enumerate((u"direction1", u"direction2")):
continue
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
- if percentile > 99.9999999:
- continue
+ x_perc = min(percentile, PERCENTILE_MAX)
xaxis.append(previous_x)
yaxis.append(item.value_iterated_to)
hovertext.append(
f"Percentile: {prev_perc:.5f}-{percentile:.5f}%<br>"
f"Latency: {item.value_iterated_to}uSec"
)
- next_x = 100.0 / (100.0 - percentile)
+ next_x = 100.0 / (100.0 - x_perc)
xaxis.append(next_x)
yaxis.append(item.value_iterated_to)
hovertext.append(
hoverinfo=u"text"
)
)
- xaxis_max = max(xaxis) if xaxis_max < max(
- xaxis) else xaxis_max
layout[u"title"][u"text"] = f"<b>Latency:</b> {name}"
- layout[u"xaxis"][u"range"] = [0, int(log(xaxis_max, 10)) + 1]
+ x_max = log(100.0 / (100.0 - PERCENTILE_MAX), 10)
+ layout[u"xaxis"][u"range"] = [0, x_max]
fig.update_layout(layout)
# Create plot
df_y = pd.DataFrame(y_vals)
df_y.head()
for i, col in enumerate(df_y.columns):
+
tst_name = re.sub(REGEX_NIC, u"",
- col.lower().replace(u'-ndrpdr', u'').
- replace(u'2n1l-', u''))
+ col.lower().replace(u'-reconf', u'').
+ replace(u'2n1l-', u'').replace(u'2n-', u'').
+ replace(u'-testpmd', u''))
traces.append(plgo.Box(
x=[str(i + 1) + u'.'] * len(df_y[col]),
- y=[y if y else None for y in df_y[col]],
+ y=df_y[col],
name=(
f"{i + 1}. "
f"({nr_of_samples[i]:02d} "
f"run{u's' if nr_of_samples[i] > 1 else u''}, "
f"packets lost average: {mean(loss[col]):.1f}) "
- f"{u'-'.join(tst_name.split(u'-')[3:-2])}"
+ f"{u'-'.join(tst_name.split(u'-')[2:])}"
),
hoverinfo=u"y+name"
))