X-Git-Url: https://gerrit.fd.io/r/gitweb?a=blobdiff_plain;f=resources%2Ftools%2Fpresentation%2Fgenerator_plots.py;h=e7a50fc0491b39386e5ae16974f2c6f55168ced4;hb=refs%2Fchanges%2F03%2F24403%2F1;hp=2b1c48f02e73abe55e17d8f035f39460bc5e7bc8;hpb=174ad309b359e9b323b97cae0a6877dce33deb5f;p=csit.git
diff --git a/resources/tools/presentation/generator_plots.py b/resources/tools/presentation/generator_plots.py
index 2b1c48f02e..e7a50fc049 100644
--- a/resources/tools/presentation/generator_plots.py
+++ b/resources/tools/presentation/generator_plots.py
@@ -59,7 +59,8 @@ def generate_plots(spec, data):
u"plot_tsa_name": plot_tsa_name,
u"plot_http_server_perf_box": plot_http_server_perf_box,
u"plot_nf_heatmap": plot_nf_heatmap,
- u"plot_lat_hdrh_bar_name": plot_lat_hdrh_bar_name
+ u"plot_lat_hdrh_bar_name": plot_lat_hdrh_bar_name,
+ u"plot_lat_hdrh_percentile": plot_lat_hdrh_percentile
}
logging.info(u"Generating the plots ...")
@@ -77,6 +78,112 @@ def generate_plots(spec, data):
logging.info(u"Done.")
+def plot_lat_hdrh_percentile(plot, input_data):
+ """Generate the plot(s) with algorithm: plot_lat_hdrh_percentile
+ specified in the specification file.
+
+ :param plot: Plot to generate.
+ :param input_data: Data to process.
+ :type plot: pandas.Series
+ :type input_data: InputData
+ """
+
+ # Transform the data
+ plot_title = plot.get(u"title", u"")
+ logging.info(
+ f" Creating the data set for the {plot.get(u'type', u'')} "
+ f"{plot_title}."
+ )
+ data = input_data.filter_tests_by_name(
+ plot, params=[u"latency", u"parent", u"tags", u"type"])
+ if data is None or len(data[0][0]) == 0:
+ logging.error(u"No data.")
+ return
+
+ fig = plgo.Figure()
+
+ # Prepare the data for the plot
+ directions = [u"W-E", u"E-W"]
+ for color, test in enumerate(data[0][0]):
+ try:
+ if test[u"type"] in (u"NDRPDR",):
+ if u"-pdr" in plot_title.lower():
+ ttype = u"PDR"
+ elif u"-ndr" in plot_title.lower():
+ ttype = u"NDR"
+ else:
+ logging.warning(f"Invalid test type: {test[u'type']}")
+ continue
+ name = re.sub(REGEX_NIC, u"", test[u"parent"].
+ replace(u'-ndrpdr', u'').
+ replace(u'2n1l-', u'').
+ replace(u'avf-', u''))
+ for idx, direction in enumerate(
+ (u"direction1", u"direction2", )):
+ try:
+ hdr_lat = test[u"latency"][ttype][direction][u"hdrh"]
+ # TODO: Workaround, HDRH data must be aligned to 4
+ # bytes, remove when not needed.
+ hdr_lat += u"=" * (len(hdr_lat) % 4)
+ xaxis = list()
+ yaxis = list()
+ hovertext = list()
+ decoded = hdrh.histogram.HdrHistogram.decode(hdr_lat)
+ for item in decoded.get_recorded_iterator():
+ percentile = item.percentile_level_iterated_to
+ if percentile != 100.0:
+ xaxis.append(100.0 / (100.0 - percentile))
+ yaxis.append(item.value_iterated_to)
+ hovertext.append(
+ f"Test: {name}
"
+ f"Direction: {directions[idx]}
"
+ f"Percentile: {percentile:.5f}%
"
+ f"Latency: {item.value_iterated_to}uSec"
+ )
+ fig.add_trace(
+ plgo.Scatter(
+ x=xaxis,
+ y=yaxis,
+ name=name,
+ mode=u"lines",
+ legendgroup=name,
+ showlegend=bool(idx),
+ line=dict(
+ color=COLORS[color]
+ ),
+ hovertext=hovertext,
+ hoverinfo=u"text"
+ )
+ )
+ except hdrh.codec.HdrLengthException as err:
+ logging.warning(
+ f"No or invalid data for HDRHistogram for the test "
+ f"{name}\n{err}"
+ )
+ continue
+ else:
+ logging.warning(f"Invalid test type: {test[u'type']}")
+ continue
+ except (ValueError, KeyError) as err:
+ logging.warning(repr(err))
+
+ layout = deepcopy(plot[u"layout"])
+
+ layout[u"title"][u"text"] = \
+ f"Latency: {plot.get(u'graph-title', u'')}"
+ fig[u"layout"].update(layout)
+
+ # Create plot
+ file_type = plot.get(u"output-file-type", u".html")
+ logging.info(f" Writing file {plot[u'output-file']}{file_type}.")
+ try:
+ # Export Plot
+ ploff.plot(fig, show_link=False, auto_open=False,
+ filename=f"{plot[u'output-file']}{file_type}")
+ except PlotlyError as err:
+ logging.error(f" Finished with error: {repr(err)}")
+
+
def plot_lat_hdrh_bar_name(plot, input_data):
"""Generate the plot(s) with algorithm: plot_lat_hdrh_bar_name
specified in the specification file.
@@ -115,7 +222,8 @@ def plot_lat_hdrh_bar_name(plot, input_data):
continue
name = re.sub(REGEX_NIC, u"", test[u"parent"].
replace(u'-ndrpdr', u'').
- replace(u'2n1l-', u''))
+ replace(u'2n1l-', u'').
+ replace(u'avf-', u''))
histograms = list()
for idx_col, direction in enumerate(
(u"direction1", u"direction2", )):
@@ -308,7 +416,7 @@ def plot_nf_reconf_box_name(plot, input_data):
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''))
+ replace(u'2n1l-', u'').replace(u'avf-', u''))
traces.append(plgo.Box(
x=[str(i + 1) + u'.'] * len(df_y[col]),
@@ -411,7 +519,7 @@ def plot_perf_box_name(plot, input_data):
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''))
+ replace(u'2n1l-', u'').replace(u'avf-', u''))
traces.append(
plgo.Box(
x=[str(i + 1) + u'.'] * len(df_y[col]),
@@ -531,7 +639,7 @@ def plot_lat_err_bars_name(plot, input_data):
nr_of_samples = list()
for key, val in y_tmp_vals.items():
name = re.sub(REGEX_NIC, u"", key.replace(u'-ndrpdr', u'').
- replace(u'2n1l-', u''))
+ replace(u'2n1l-', u'').replace(u'avf-', u''))
x_vals.append(name) # dir 1
y_vals.append(mean(val[1]) if val[1] else None)
y_mins.append(mean(val[0]) if val[0] else None)
@@ -710,7 +818,8 @@ def plot_tsa_name(plot, input_data):
name = re.sub(
REGEX_NIC,
u"",
- test_name.replace(u'-ndrpdr', u'').replace(u'2n1l-', u'')
+ test_name.replace(u'-ndrpdr', u'').replace(u'2n1l-', u'').
+ replace(u'avf-', u'')
)
vals[name] = OrderedDict()
y_val_1 = test_vals[u"1"][0] / 1000000.0