if plot.get(u"include", None):
data = input_data.filter_tests_by_name(
plot,
- params=[u"latency", u"throughput", u"parent", u"tags", u"type"]
+ params=[u"name", u"latency", u"parent", u"tags", u"type"]
)[0][0]
elif plot.get(u"filter", None):
- data = input_data.filter_data(plot, continue_on_error=True)
+ data = input_data.filter_data(
+ plot,
+ params=[u"name", u"latency", u"parent", u"tags", u"type"],
+ continue_on_error=True
+ )[0][0]
else:
job = list(plot[u"data"].keys())[0]
build = str(plot[u"data"][job][0])
limit = plot[u"limits"][u"nic"][u"xl710"]
elif u"x553" in test_name:
limit = plot[u"limits"][u"nic"][u"x553"]
+ elif u"cx556a" in test_name:
+ limit = plot[u"limits"][u"nic"][u"cx556a"]
else:
limit = 0
if limit > nic_limit:
except ValueError as err:
logging.error(err)
return
- nic_limit /= 1000000.0
+ nic_limit /= 1e6
traces.append(plgo.Scatter(
x=x_vals,
y=[nic_limit, ] * len(x_vals),
))
y_max.append(nic_limit)
- lnk_limit /= 1000000.0
+ lnk_limit /= 1e6
if lnk_limit < threshold:
traces.append(plgo.Scatter(
x=x_vals,
))
y_max.append(lnk_limit)
- pci_limit /= 1000000.0
+ pci_limit /= 1e6
if (pci_limit < threshold and
(pci_limit < lnk_limit * 0.95 or lnk_limit > lnk_limit * 1.05)):
traces.append(plgo.Scatter(
regex_cn = re.compile(r'^(\d*)R(\d*)C$')
regex_test_name = re.compile(r'^.*-(\d+ch|\d+pl)-'
r'(\d+mif|\d+vh)-'
- r'(\d+vm\d+t|\d+dcr\d+t).*$')
+ r'(\d+vm\d+t|\d+dcr\d+t|\d+dcr\d+c).*$')
vals = dict()
# Transform the data