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Report: Add RND tests
[csit.git]
/
resources
/
tools
/
presentation
/
generator_plots.py
diff --git
a/resources/tools/presentation/generator_plots.py
b/resources/tools/presentation/generator_plots.py
index
dd00939
..
c9018f4
100644
(file)
--- a/
resources/tools/presentation/generator_plots.py
+++ b/
resources/tools/presentation/generator_plots.py
@@
-61,6
+61,9
@@
COLORS = (
REGEX_NIC = re.compile(r'(\d*ge\dp\d\D*\d*[a-z]*)-')
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).
+PERCENTILE_MAX = 99.9995
+
def generate_plots(spec, data):
"""Generate all plots specified in the specification file.
def generate_plots(spec, data):
"""Generate all plots specified in the specification file.
@@
-189,8
+192,6
@@
def plot_hdrh_lat_by_percentile(plot, input_data):
for item in decoded.get_recorded_iterator():
percentile = item.percentile_level_iterated_to
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(
xaxis.append(previous_x)
yaxis.append(item.value_iterated_to)
hovertext.append(
@@
-355,9
+356,10
@@
def plot_hdrh_lat_by_percentile_x_log(plot, input_data):
continue
for item in decoded.get_recorded_iterator():
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
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(
xaxis.append(previous_x)
yaxis.append(item.value_iterated_to)
hovertext.append(
@@
-366,7
+368,7
@@
def plot_hdrh_lat_by_percentile_x_log(plot, input_data):
f"Percentile: {prev_perc:.5f}-{percentile:.5f}%<br>"
f"Latency: {item.value_iterated_to}uSec"
)
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(
xaxis.append(next_x)
yaxis.append(item.value_iterated_to)
hovertext.append(
@@
-486,19
+488,21
@@
def plot_nf_reconf_box_name(plot, input_data):
df_y = pd.DataFrame(y_vals)
df_y.head()
for i, col in enumerate(df_y.columns):
df_y = pd.DataFrame(y_vals)
df_y.head()
for i, col in enumerate(df_y.columns):
+
tst_name = re.sub(REGEX_NIC, u"",
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]),
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}) "
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"
))
),
hoverinfo=u"y+name"
))