"""
data_x = list(in_data.keys())
- data_y_pps = list(in_data.values())
- data_y_mpps = [float(item) / 1e6 for item in data_y_pps]
+ data_y_pps = list()
+ data_y_mpps = list()
+ data_y_stdev = list()
+ for item in in_data.values():
+ data_y_pps.append(float(item[u"receive-rate"]))
+ data_y_stdev.append(float(item[u"receive-stdev"]) / 1e6)
+ data_y_mpps.append(float(item[u"receive-rate"]) / 1e6)
hover_text = list()
xaxis = list()
date = build_info[job_name][str_key][0]
hover_str = (u"date: {date}<br>"
u"value [Mpps]: {value:.3f}<br>"
+ u"stdev [Mpps]: {stdev:.3f}<br>"
u"{sut}-ref: {build}<br>"
u"csit-ref: mrr-{period}-build-{build_nr}<br>"
u"testbed: {testbed}")
hover_text.append(hover_str.format(
date=date,
value=data_y_mpps[index],
+ stdev=data_y_stdev[index],
sut=u"dpdk",
build=build_info[job_name][str_key][1].rsplit(u'~', 1)[0],
period=u"weekly",
hover_text.append(hover_str.format(
date=date,
value=data_y_mpps[index],
+ stdev=data_y_stdev[index],
sut=u"vpp",
build=build_info[job_name][str_key][1].rsplit(u'~', 1)[0],
period=u"daily",
}
if anomaly_classification:
for index, (key, value) in enumerate(data_pd.items()):
- if anomaly_classification[index] in \
- (u"outlier", u"regression", u"progression"):
+ if anomaly_classification[index] in (u"regression", u"progression"):
anomalies[key] = value / 1e6
anomalies_colors.append(
anomaly_color[anomaly_classification[index]])
u"symbol": u"circle",
},
text=hover_text,
- hoverinfo=u"text"
+ hoverinfo=u"text+name"
)
traces = [trace_samples, ]
:rtype: dict
"""
- logs = list()
-
- logs.append(
- (u"INFO", f" Generating the chart {graph.get(u'title', u'')} ...")
- )
+ logging.info(f" Generating the chart {graph.get(u'title', u'')} ...")
job_name = list(graph[u"data"].keys())[0]
res = dict()
# Transform the data
- logs.append(
- (u"INFO",
+ logging.info(
f" Creating the data set for the {graph.get(u'type', u'')} "
f"{graph.get(u'title', u'')}."
- )
)
if graph.get(u"include", None):
if chart_data.get(test_name, None) is None:
chart_data[test_name] = OrderedDict()
try:
- chart_data[test_name][int(index)] = \
- test[u"result"][u"receive-rate"]
+ chart_data[test_name][int(index)] = {
+ u"receive-rate": test[u"result"][u"receive-rate"],
+ u"receive-stdev": test[u"result"][u"receive-stdev"]
+ }
chart_tags[test_name] = test.get(u"tags", None)
except (KeyError, TypeError):
pass
for tst_name, tst_data in chart_data.items():
tst_lst = list()
for bld in builds_dict[job_name]:
- itm = tst_data.get(int(bld), u'')
+ itm = tst_data.get(int(bld), dict())
# CSIT-1180: Itm will be list, compute stats.
- tst_lst.append(str(itm))
+ try:
+ tst_lst.append(str(itm.get(u"receive-rate", u"")))
+ except AttributeError:
+ tst_lst.append(u"")
csv_tbl.append(f"{tst_name}," + u",".join(tst_lst) + u'\n')
# Generate traces:
for tag in group:
for tst_name, test_data in chart_data.items():
if not test_data:
- logs.append(
- (u"WARNING", f"No data for the test {tst_name}")
- )
+ logging.warning(f"No data for the test {tst_name}")
continue
if tag not in chart_tags[tst_name]:
continue
- message = f"index: {index}, test: {tst_name}"
try:
trace, rslt = _generate_trending_traces(
test_data,
split(u'-')[2:-1]),
color=COLORS[index])
except IndexError:
- logs.append(
- (u"ERROR", f"Out of colors: {message}")
- )
- logging.error(f"Out of colors: {message}")
+ logging.error(f"Out of colors: index: "
+ f"{index}, test: {tst_name}")
index += 1
continue
traces.extend(trace)
else:
for tst_name, test_data in chart_data.items():
if not test_data:
- logs.append(
- (u"WARNING", f"No data for the test {tst_name}")
- )
+ logging.warning(f"No data for the test {tst_name}")
continue
- message = f"index: {index}, test: {tst_name}"
try:
trace, rslt = _generate_trending_traces(
test_data,
tst_name.split(u'.')[-1].split(u'-')[2:-1]),
color=COLORS[index])
except IndexError:
- logs.append((u"ERROR", f"Out of colors: {message}"))
- logging.error(f"Out of colors: {message}")
+ logging.error(
+ f"Out of colors: index: {index}, test: {tst_name}"
+ )
index += 1
continue
traces.extend(trace)
f"{spec.cpta[u'output-file']}/{graph[u'output-file-name']}"
f"{spec.cpta[u'output-file-type']}")
- logs.append((u"INFO", f" Writing the file {name_file} ..."))
+ logging.info(f" Writing the file {name_file} ...")
plpl = plgo.Figure(data=traces, layout=layout)
try:
ploff.plot(plpl, show_link=False, auto_open=False,
filename=name_file)
except plerr.PlotlyEmptyDataError:
- logs.append((u"WARNING", u"No data for the plot. Skipped."))
-
- for level, line in logs:
- if level == u"INFO":
- logging.info(line)
- elif level == u"ERROR":
- logging.error(line)
- elif level == u"DEBUG":
- logging.debug(line)
- elif level == u"CRITICAL":
- logging.critical(line)
- elif level == u"WARNING":
- logging.warning(line)
+ logging.warning(u"No data for the plot. Skipped.")
return {u"job_name": job_name, u"csv_table": csv_tbl, u"results": res}
builds_dict[job] = list()
for build in spec.input[u"builds"][job]:
status = build[u"status"]
- if status not in (u"failed", u"not found", u"removed"):
+ if status not in (u"failed", u"not found", u"removed", None):
builds_dict[job].append(str(build[u"build"]))
# Create "build ID": "date" dict:
Code Review / csit.git / blobdiff