header = ["Test case", ]
if table["include-tests"] == "MRR":
- hdr_param = "Receive Rate"
+ hdr_param = "Rec Rate"
else:
- hdr_param = "Throughput"
+ hdr_param = "Thput"
history = table.get("history", None)
if history:
# Prepare data to the table:
tbl_dict = dict()
for job, builds in table["reference"]["data"].items():
+ topo = "2n-skx" if "2n-skx" in job else ""
for build in builds:
for tst_name, tst_data in data[job][str(build)].iteritems():
tst_name_mod = tst_name.replace("-ndrpdrdisc", "").\
pass
tbl_lst = list()
+ footnote = False
for tst_name in tbl_dict.keys():
item = [tbl_dict[tst_name]["name"], ]
if history:
item.append(round(mean(hist_data) / 1000000, 2))
item.append(round(stdev(hist_data) / 1000000, 2))
else:
- item.extend([None, None])
+ item.extend(["Not tested", "Not tested"])
else:
- item.extend([None, None])
+ item.extend(["Not tested", "Not tested"])
data_t = tbl_dict[tst_name]["ref-data"]
if data_t:
item.append(round(mean(data_t) / 1000000, 2))
item.append(round(stdev(data_t) / 1000000, 2))
else:
- item.extend([None, None])
+ item.extend(["Not tested", "Not tested"])
data_t = tbl_dict[tst_name]["cmp-data"]
if data_t:
item.append(round(mean(data_t) / 1000000, 2))
item.append(round(stdev(data_t) / 1000000, 2))
else:
- item.extend([None, None])
- if "dot1q" in tbl_dict[tst_name]["name"]:
- item.append("Changed methodology")
- elif item[-4] is not None and item[-2] is not None and item[-4] != 0:
+ item.extend(["Not tested", "Not tested"])
+ if item[-2] == "Not tested":
+ pass
+ elif item[-4] == "Not tested":
+ item.append("New in CSIT-1908")
+ elif topo == "2n-skx" and "dot1q" in tbl_dict[tst_name]["name"]:
+ item.append("See footnote [1]")
+ footnote = True
+ elif item[-4] != 0:
item.append(int(relative_change(float(item[-4]), float(item[-2]))))
- else:
- item.append("n/a")
- if (len(item) == len(header)) and (item[-3] is not None):
+ if (len(item) == len(header)) and (item[-3] != "Not tested"):
tbl_lst.append(item)
- # Sort the table according to the relative change
- tbl_lst.sort(key=lambda rel: rel[-1], reverse=True)
+ # Sort the table:
+ # 1. New in CSIT-XXXX
+ # 2. See footnote
+ # 3. Delta
+ tbl_new = list()
+ tbl_see = list()
+ tbl_delta = list()
+ for item in tbl_lst:
+ if isinstance(item[-1], str):
+ if "New in CSIT" in item[-1]:
+ tbl_new.append(item)
+ elif "See footnote" in item[-1]:
+ tbl_see.append(item)
+ else:
+ tbl_delta.append(item)
+
+ # Sort the tables:
+ tbl_new.sort(key=lambda rel: rel[0], reverse=False)
+ tbl_see.sort(key=lambda rel: rel[0], reverse=False)
+ tbl_see.sort(key=lambda rel: rel[-1], reverse=False)
+ tbl_delta.sort(key=lambda rel: rel[-1], reverse=True)
+
+ # Put the tables together:
+ tbl_lst = list()
+ tbl_lst.extend(tbl_new)
+ tbl_lst.extend(tbl_see)
+ tbl_lst.extend(tbl_delta)
# Generate csv tables:
csv_file = "{0}.csv".format(table["output-file"])
for test in tbl_lst:
file_handler.write(",".join([str(item) for item in test]) + "\n")
- convert_csv_to_pretty_txt(csv_file, "{0}.txt".format(table["output-file"]))
+ txt_file_name = "{0}.txt".format(table["output-file"])
+ convert_csv_to_pretty_txt(csv_file, txt_file_name)
+
+ if footnote:
+ with open(txt_file_name, 'a') as txt_file:
+ txt_file.writelines([
+ "\nFootnotes:\n",
+ "[1] CSIT-1908 changed test methodology of dot1q tests in "
+ "2-node testbeds, dot1q encapsulation is now used on both "
+ "links of SUT.\n",
+ " Previously dot1q was used only on a single link with the "
+ "other link carrying untagged Ethernet frames. This changes "
+ "results\n",
+ " in slightly lower throughput in CSIT-1908 for these "
+ "tests. See release notes."
+ ])
def table_performance_comparison_nic(table, input_data):
header = ["Test case", ]
if table["include-tests"] == "MRR":
- hdr_param = "Receive Rate"
+ hdr_param = "Rec Rate"
else:
- hdr_param = "Throughput"
+ hdr_param = "Thput"
history = table.get("history", None)
if history:
# Prepare data to the table:
tbl_dict = dict()
for job, builds in table["reference"]["data"].items():
+ topo = "2n-skx" if "2n-skx" in job else ""
for build in builds:
for tst_name, tst_data in data[job][str(build)].iteritems():
if table["reference"]["nic"] not in tst_data["tags"]:
pass
tbl_lst = list()
+ footnote = False
for tst_name in tbl_dict.keys():
item = [tbl_dict[tst_name]["name"], ]
if history:
item.append(round(mean(hist_data) / 1000000, 2))
item.append(round(stdev(hist_data) / 1000000, 2))
else:
- item.extend([None, None])
+ item.extend(["Not tested", "Not tested"])
else:
- item.extend([None, None])
+ item.extend(["Not tested", "Not tested"])
data_t = tbl_dict[tst_name]["ref-data"]
if data_t:
item.append(round(mean(data_t) / 1000000, 2))
item.append(round(stdev(data_t) / 1000000, 2))
else:
- item.extend([None, None])
+ item.extend(["Not tested", "Not tested"])
data_t = tbl_dict[tst_name]["cmp-data"]
if data_t:
item.append(round(mean(data_t) / 1000000, 2))
item.append(round(stdev(data_t) / 1000000, 2))
else:
- item.extend([None, None])
- if "dot1q" in tbl_dict[tst_name]["name"]:
- item.append("Changed methodology")
- elif item[-4] is not None and item[-2] is not None and item[-4] != 0:
+ item.extend(["Not tested", "Not tested"])
+ if item[-2] == "Not tested":
+ pass
+ elif item[-4] == "Not tested":
+ item.append("New in CSIT-1908")
+ elif topo == "2n-skx" and "dot1q" in tbl_dict[tst_name]["name"]:
+ item.append("See footnote [1]")
+ footnote = True
+ elif item[-4] != 0:
item.append(int(relative_change(float(item[-4]), float(item[-2]))))
- else:
- item.append("n/a")
- if (len(item) == len(header)) and (item[-3] is not None):
+ if (len(item) == len(header)) and (item[-3] != "Not tested"):
tbl_lst.append(item)
- # Sort the table according to the relative change
- tbl_lst.sort(key=lambda rel: rel[-1], reverse=True)
+ # Sort the table:
+ # 1. New in CSIT-XXXX
+ # 2. See footnote
+ # 3. Delta
+ tbl_new = list()
+ tbl_see = list()
+ tbl_delta = list()
+ for item in tbl_lst:
+ if isinstance(item[-1], str):
+ if "New in CSIT" in item[-1]:
+ tbl_new.append(item)
+ elif "See footnote" in item[-1]:
+ tbl_see.append(item)
+ else:
+ tbl_delta.append(item)
+
+ # Sort the tables:
+ tbl_new.sort(key=lambda rel: rel[0], reverse=False)
+ tbl_see.sort(key=lambda rel: rel[0], reverse=False)
+ tbl_see.sort(key=lambda rel: rel[-1], reverse=False)
+ tbl_delta.sort(key=lambda rel: rel[-1], reverse=True)
+
+ # Put the tables together:
+ tbl_lst = list()
+ tbl_lst.extend(tbl_new)
+ tbl_lst.extend(tbl_see)
+ tbl_lst.extend(tbl_delta)
# Generate csv tables:
csv_file = "{0}.csv".format(table["output-file"])
for test in tbl_lst:
file_handler.write(",".join([str(item) for item in test]) + "\n")
- convert_csv_to_pretty_txt(csv_file, "{0}.txt".format(table["output-file"]))
+ txt_file_name = "{0}.txt".format(table["output-file"])
+ convert_csv_to_pretty_txt(csv_file, txt_file_name)
+
+ if footnote:
+ with open(txt_file_name, 'a') as txt_file:
+ txt_file.writelines([
+ "\nFootnotes:\n",
+ "[1] CSIT-1908 changed test methodology of dot1q tests in "
+ "2-node testbeds, dot1q encapsulation is now used on both "
+ "links of SUT.\n",
+ " Previously dot1q was used only on a single link with the "
+ "other link carrying untagged Ethernet frames. This changes "
+ "results\n",
+ " in slightly lower throughput in CSIT-1908 for these "
+ "tests. See release notes."
+ ])
def table_nics_comparison(table, input_data):
header = ["Test case", ]
if table["include-tests"] == "MRR":
- hdr_param = "Receive Rate"
+ hdr_param = "Rec Rate"
else:
- hdr_param = "Throughput"
+ hdr_param = "Thput"
header.extend(
["{0} {1} [Mpps]".format(table["reference"]["title"], hdr_param),
try:
header = [
"Test case",
- "{0} Throughput [Mpps]".format(table["reference"]["title"]),
+ "{0} Thput [Mpps]".format(table["reference"]["title"]),
"{0} Stdev [Mpps]".format(table["reference"]["title"]),
- "{0} Throughput [Mpps]".format(table["compare"]["title"]),
+ "{0} Thput [Mpps]".format(table["compare"]["title"]),
"{0} Stdev [Mpps]".format(table["compare"]["title"]),
"Delta [%]", "Stdev of delta [%]"]
header_str = ",".join(header) + "\n"