return table
-def _tpc_generate_html_table(header, data, output_file_name):
+def _tpc_generate_html_table(header, data, out_file_name, legend=u"",
+ footnote=u""):
"""Generate html table from input data with simple sorting possibility.
:param header: Table header.
Inner lists are rows in the table. All inner lists must be of the same
length. The length of these lists must be the same as the length of the
header.
- :param output_file_name: The name (relative or full path) where the
+ :param out_file_name: The name (relative or full path) where the
generated html table is written.
+ :param legend: The legend to display below the table.
+ :param footnote: The footnote to display below the table (and legend).
:type header: list
:type data: list of lists
- :type output_file_name: str
+ :type out_file_name: str
+ :type legend: str
+ :type footnote: str
"""
try:
- idx = header.index(u"Test case")
+ idx = header.index(u"Test Case")
except ValueError:
idx = 0
params = {
go.layout.Updatemenu(
type=u"dropdown",
direction=u"down",
- x=0.03,
+ x=0.0,
xanchor=u"left",
y=1.045,
yanchor=u"top",
active=len(menu_items) - 1,
buttons=list(buttons)
)
- ],
- annotations=[
- go.layout.Annotation(
- text=u"<b>Sort by:</b>",
- x=0,
- xref=u"paper",
- y=1.035,
- yref=u"paper",
- align=u"left",
- showarrow=False
- )
]
)
- ploff.plot(fig, show_link=False, auto_open=False, filename=output_file_name)
+ ploff.plot(
+ fig,
+ show_link=False,
+ auto_open=False,
+ filename=f"{out_file_name}_in.html"
+ )
+
+ file_name = out_file_name.split(u"/")[-1]
+ if u"vpp" in out_file_name:
+ path = u"_tmp/src/vpp_performance_tests/comparisons/"
+ else:
+ path = u"_tmp/src/dpdk_performance_tests/comparisons/"
+ with open(f"{path}{file_name}.rst", u"wt") as rst_file:
+ rst_file.write(
+ u"\n"
+ u".. |br| raw:: html\n\n <br />\n\n\n"
+ u".. |prein| raw:: html\n\n <pre>\n\n\n"
+ u".. |preout| raw:: html\n\n </pre>\n\n"
+ )
+ rst_file.write(
+ u".. raw:: html\n\n"
+ f' <iframe frameborder="0" scrolling="no" '
+ f'width="1600" height="1000" '
+ f'src="../..{out_file_name.replace(u"_build", u"")}_in.html">'
+ f'</iframe>\n\n'
+ )
+ if legend:
+ rst_file.write(legend[1:].replace(u"\n", u" |br| "))
+ if footnote:
+ rst_file.write(footnote.replace(u"\n", u" |br| ")[1:])
def table_perf_comparison(table, input_data):
# Prepare the header of the tables
try:
- header = [u"Test case", ]
+ header = [u"Test Case", ]
+ legend = u"\nLegend:\n"
rca_data = None
rca = table.get(u"rca", None)
with open(rca.get(u"data-file", ""), u"r") as rca_file:
rca_data = load(rca_file, Loader=FullLoader)
header.insert(0, rca.get(u"title", "RCA"))
+ legend += (
+ u"RCA: Reference to the Root Cause Analysis, see below.\n"
+ )
except (YAMLError, IOError) as err:
logging.warning(repr(err))
f"{item[u'title']} Stdev({table[u'include-tests']})"
]
)
+ legend += (
+ f"{item[u'title']} Avg({table[u'include-tests']}): "
+ f"Mean value of {table[u'include-tests']} [Mpps] computed from "
+ f"a series of runs of the listed tests executed against "
+ f"{item[u'title']}.\n"
+ f"{item[u'title']} Stdev({table[u'include-tests']}): "
+ f"Standard deviation value of {table[u'include-tests']} [Mpps] "
+ f"computed from a series of runs of the listed tests executed "
+ f"against {item[u'title']}.\n"
+ )
header.extend(
[
f"{table[u'reference'][u'title']} "
]
)
header_str = u";".join(header) + u"\n"
+ legend += (
+ f"{table[u'reference'][u'title']} "
+ f"Avg({table[u'include-tests']}): "
+ f"Mean value of {table[u'include-tests']} [Mpps] computed from a "
+ f"series of runs of the listed tests executed against "
+ f"{table[u'reference'][u'title']}.\n"
+ f"{table[u'reference'][u'title']} "
+ f"Stdev({table[u'include-tests']}): "
+ f"Standard deviation value of {table[u'include-tests']} [Mpps] "
+ f"computed from a series of runs of the listed tests executed "
+ f"against {table[u'reference'][u'title']}.\n"
+ f"{table[u'compare'][u'title']} "
+ f"Avg({table[u'include-tests']}): "
+ f"Mean value of {table[u'include-tests']} [Mpps] computed from a "
+ f"series of runs of the listed tests executed against "
+ f"{table[u'compare'][u'title']}.\n"
+ f"{table[u'compare'][u'title']} "
+ f"Stdev({table[u'include-tests']}): "
+ f"Standard deviation value of {table[u'include-tests']} [Mpps] "
+ f"computed from a series of runs of the listed tests executed "
+ f"against {table[u'compare'][u'title']}.\n"
+ f"Diff({table[u'reference'][u'title']},"
+ f"{table[u'compare'][u'title']}): "
+ f"Percentage change calculated for mean values.\n"
+ u"Stdev(Diff): "
+ u"Standard deviation of percentage change calculated for mean "
+ u"values.\n"
+ u"NT: Not Tested\n"
+ )
except (AttributeError, KeyError) as err:
logging.error(f"The model is invalid, missing parameter: {repr(err)}")
return
item.append(round(mean(hist_data) / 1e6, 1))
item.append(round(stdev(hist_data) / 1e6, 1))
else:
- item.extend([u"Not tested", u"Not tested"])
+ item.extend([u"NT", u"NT"])
else:
- item.extend([u"Not tested", u"Not tested"])
+ item.extend([u"NT", u"NT"])
data_r = tbl_dict[tst_name][u"ref-data"]
if data_r:
if table[u"include-tests"] == u"MRR":
else:
data_r_mean = None
data_r_stdev = None
- item.extend([u"Not tested", u"Not tested"])
+ item.extend([u"NT", u"NT"])
data_c = tbl_dict[tst_name][u"cmp-data"]
if data_c:
if table[u"include-tests"] == u"MRR":
else:
data_c_mean = None
data_c_stdev = None
- item.extend([u"Not tested", u"Not tested"])
- if item[-2] == u"Not tested":
+ item.extend([u"NT", u"NT"])
+ if item[-2] == u"NT":
pass
- elif item[-4] == u"Not tested":
+ elif item[-4] == u"NT":
item.append(u"New in CSIT-2001")
item.append(u"New in CSIT-2001")
elif data_r_mean is not None and data_c_mean is not None:
if rca_data:
rca_nr = rca_data.get(item[0], u"-")
item.insert(0, f"[{rca_nr}]" if rca_nr != u"-" else u"-")
- if (len(item) == len(header)) and (item[-4] != u"Not tested"):
+ if (len(item) == len(header)) and (item[-4] != u"NT"):
tbl_lst.append(item)
tbl_lst = _tpc_sort_table(tbl_lst)
txt_file_name = f"{table[u'output-file']}.txt"
convert_csv_to_pretty_txt(csv_file, txt_file_name, delimiter=u";")
- if rca_data:
- footnote = rca_data.get(u"footnote", "")
- if footnote:
- with open(txt_file_name, u'a') as txt_file:
- txt_file.writelines(footnote)
+ footnote = u""
+ with open(txt_file_name, u'a') as txt_file:
+ txt_file.write(legend)
+ if rca_data:
+ footnote = rca_data.get(u"footnote", u"")
+ if footnote:
+ txt_file.write(footnote)
+ txt_file.write(u":END")
# Generate html table:
- _tpc_generate_html_table(header, tbl_lst, f"{table[u'output-file']}.html")
+ _tpc_generate_html_table(
+ header,
+ tbl_lst,
+ table[u'output-file'],
+ legend=legend,
+ footnote=footnote
+ )
def table_perf_comparison_nic(table, input_data):
# Prepare the header of the tables
try:
- header = [u"Test case", ]
+ header = [u"Test Case", ]
+ legend = u"\nLegend:\n"
rca_data = None
rca = table.get(u"rca", None)
with open(rca.get(u"data-file", ""), u"r") as rca_file:
rca_data = load(rca_file, Loader=FullLoader)
header.insert(0, rca.get(u"title", "RCA"))
+ legend += (
+ u"RCA: Reference to the Root Cause Analysis, see below.\n"
+ )
except (YAMLError, IOError) as err:
logging.warning(repr(err))
f"{item[u'title']} Stdev({table[u'include-tests']})"
]
)
+ legend += (
+ f"{item[u'title']} Avg({table[u'include-tests']}): "
+ f"Mean value of {table[u'include-tests']} [Mpps] computed from "
+ f"a series of runs of the listed tests executed against "
+ f"{item[u'title']}.\n"
+ f"{item[u'title']} Stdev({table[u'include-tests']}): "
+ f"Standard deviation value of {table[u'include-tests']} [Mpps] "
+ f"computed from a series of runs of the listed tests executed "
+ f"against {item[u'title']}.\n"
+ )
header.extend(
[
f"{table[u'reference'][u'title']} "
]
)
header_str = u";".join(header) + u"\n"
+ legend += (
+ f"{table[u'reference'][u'title']} "
+ f"Avg({table[u'include-tests']}): "
+ f"Mean value of {table[u'include-tests']} [Mpps] computed from a "
+ f"series of runs of the listed tests executed against "
+ f"{table[u'reference'][u'title']}.\n"
+ f"{table[u'reference'][u'title']} "
+ f"Stdev({table[u'include-tests']}): "
+ f"Standard deviation value of {table[u'include-tests']} [Mpps] "
+ f"computed from a series of runs of the listed tests executed "
+ f"against {table[u'reference'][u'title']}.\n"
+ f"{table[u'compare'][u'title']} "
+ f"Avg({table[u'include-tests']}): "
+ f"Mean value of {table[u'include-tests']} [Mpps] computed from a "
+ f"series of runs of the listed tests executed against "
+ f"{table[u'compare'][u'title']}.\n"
+ f"{table[u'compare'][u'title']} "
+ f"Stdev({table[u'include-tests']}): "
+ f"Standard deviation value of {table[u'include-tests']} [Mpps] "
+ f"computed from a series of runs of the listed tests executed "
+ f"against {table[u'compare'][u'title']}.\n"
+ f"Diff({table[u'reference'][u'title']},"
+ f"{table[u'compare'][u'title']}): "
+ f"Percentage change calculated for mean values.\n"
+ u"Stdev(Diff): "
+ u"Standard deviation of percentage change calculated for mean "
+ u"values.\n"
+ u"NT: Not Tested\n"
+ )
except (AttributeError, KeyError) as err:
logging.error(f"The model is invalid, missing parameter: {repr(err)}")
return
item.append(round(mean(hist_data) / 1e6, 1))
item.append(round(stdev(hist_data) / 1e6, 1))
else:
- item.extend([u"Not tested", u"Not tested"])
+ item.extend([u"NT", u"NT"])
else:
- item.extend([u"Not tested", u"Not tested"])
+ item.extend([u"NT", u"NT"])
data_r = tbl_dict[tst_name][u"ref-data"]
if data_r:
if table[u"include-tests"] == u"MRR":
else:
data_r_mean = None
data_r_stdev = None
- item.extend([u"Not tested", u"Not tested"])
+ item.extend([u"NT", u"NT"])
data_c = tbl_dict[tst_name][u"cmp-data"]
if data_c:
if table[u"include-tests"] == u"MRR":
else:
data_c_mean = None
data_c_stdev = None
- item.extend([u"Not tested", u"Not tested"])
- if item[-2] == u"Not tested":
+ item.extend([u"NT", u"NT"])
+ if item[-2] == u"NT":
pass
- elif item[-4] == u"Not tested":
+ elif item[-4] == u"NT":
item.append(u"New in CSIT-2001")
item.append(u"New in CSIT-2001")
elif data_r_mean is not None and data_c_mean is not None:
if rca_data:
rca_nr = rca_data.get(item[0], u"-")
item.insert(0, f"[{rca_nr}]" if rca_nr != u"-" else u"-")
- if (len(item) == len(header)) and (item[-4] != u"Not tested"):
+ if (len(item) == len(header)) and (item[-4] != u"NT"):
tbl_lst.append(item)
tbl_lst = _tpc_sort_table(tbl_lst)
txt_file_name = f"{table[u'output-file']}.txt"
convert_csv_to_pretty_txt(csv_file, txt_file_name, delimiter=u";")
- if rca_data:
- footnote = rca_data.get(u"footnote", "")
- if footnote:
- with open(txt_file_name, u'a') as txt_file:
- txt_file.writelines(footnote)
+ footnote = u""
+ with open(txt_file_name, u'a') as txt_file:
+ txt_file.write(legend)
+ if rca_data:
+ footnote = rca_data.get(u"footnote", u"")
+ if footnote:
+ txt_file.write(footnote)
+ txt_file.write(u":END")
# Generate html table:
- _tpc_generate_html_table(header, tbl_lst, f"{table[u'output-file']}.html")
+ _tpc_generate_html_table(
+ header,
+ tbl_lst,
+ table[u'output-file'],
+ legend=legend,
+ footnote=footnote
+ )
def table_nics_comparison(table, input_data):
# Prepare the header of the tables
try:
header = [
- u"Test case",
+ u"Test Case",
f"{table[u'reference'][u'title']} "
f"Avg({table[u'include-tests']})",
f"{table[u'reference'][u'title']} "
f"{table[u'compare'][u'title']})",
u"Stdev(Diff)"
]
+ legend = (
+ u"\nLegend:\n"
+ f"{table[u'reference'][u'title']} "
+ f"Avg({table[u'include-tests']}): "
+ f"Mean value of {table[u'include-tests']} [Mpps] computed from a "
+ f"series of runs of the listed tests executed using "
+ f"{table[u'reference'][u'title']} NIC.\n"
+ f"{table[u'reference'][u'title']} "
+ f"Stdev({table[u'include-tests']}): "
+ f"Standard deviation value of {table[u'include-tests']} [Mpps] "
+ f"computed from a series of runs of the listed tests executed "
+ f"using {table[u'reference'][u'title']} NIC.\n"
+ f"{table[u'compare'][u'title']} "
+ f"Avg({table[u'include-tests']}): "
+ f"Mean value of {table[u'include-tests']} [Mpps] computed from a "
+ f"series of runs of the listed tests executed using "
+ f"{table[u'compare'][u'title']} NIC.\n"
+ f"{table[u'compare'][u'title']} "
+ f"Stdev({table[u'include-tests']}): "
+ f"Standard deviation value of {table[u'include-tests']} [Mpps] "
+ f"computed from a series of runs of the listed tests executed "
+ f"using {table[u'compare'][u'title']} NIC.\n"
+ f"Diff({table[u'reference'][u'title']},"
+ f"{table[u'compare'][u'title']}): "
+ f"Percentage change calculated for mean values.\n"
+ u"Stdev(Diff): "
+ u"Standard deviation of percentage change calculated for mean "
+ u"values.\n"
+ u":END"
+ )
except (AttributeError, KeyError) as err:
logging.error(f"The model is invalid, missing parameter: {repr(err)}")
# Generate csv tables:
with open(f"{table[u'output-file']}.csv", u"wt") as file_handler:
- file_handler.write(u",".join(header) + u"\n")
+ file_handler.write(u";".join(header) + u"\n")
for test in tbl_lst:
- file_handler.write(u",".join([str(item) for item in test]) + u"\n")
+ file_handler.write(u";".join([str(item) for item in test]) + u"\n")
convert_csv_to_pretty_txt(f"{table[u'output-file']}.csv",
- f"{table[u'output-file']}.txt")
+ f"{table[u'output-file']}.txt",
+ delimiter=u";")
+
+ with open(f"{table[u'output-file']}.txt", u'a') as txt_file:
+ txt_file.write(legend)
# Generate html table:
- _tpc_generate_html_table(header, tbl_lst, f"{table[u'output-file']}.html")
+ _tpc_generate_html_table(
+ header,
+ tbl_lst,
+ table[u'output-file'],
+ legend=legend
+ )
def table_soak_vs_ndr(table, input_data):
# Prepare the header of the table
try:
header = [
- u"Test case",
- f"{table[u'reference'][u'title']} Thput [Mpps]",
- f"{table[u'reference'][u'title']} Stdev [Mpps]",
- f"{table[u'compare'][u'title']} Thput [Mpps]",
- f"{table[u'compare'][u'title']} Stdev [Mpps]",
- u"Delta [%]",
- u"Stdev of delta [%]"
+ u"Test Case",
+ f"Avg({table[u'reference'][u'title']})",
+ f"Stdev({table[u'reference'][u'title']})",
+ f"Avg({table[u'compare'][u'title']})",
+ f"Stdev{table[u'compare'][u'title']})",
+ u"Diff",
+ u"Stdev(Diff)"
]
- header_str = u",".join(header) + u"\n"
+ header_str = u";".join(header) + u"\n"
+ legend = (
+ u"\nLegend:\n"
+ f"Avg({table[u'reference'][u'title']}): "
+ f"Mean value of {table[u'reference'][u'title']} [Mpps] computed "
+ f"from a series of runs of the listed tests.\n"
+ f"Stdev({table[u'reference'][u'title']}): "
+ f"Standard deviation value of {table[u'reference'][u'title']} "
+ f"[Mpps] computed from a series of runs of the listed tests.\n"
+ f"Avg({table[u'compare'][u'title']}): "
+ f"Mean value of {table[u'compare'][u'title']} [Mpps] computed from "
+ f"a series of runs of the listed tests.\n"
+ f"Stdev({table[u'compare'][u'title']}): "
+ f"Standard deviation value of {table[u'compare'][u'title']} [Mpps] "
+ f"computed from a series of runs of the listed tests.\n"
+ f"Diff({table[u'reference'][u'title']},"
+ f"{table[u'compare'][u'title']}): "
+ f"Percentage change calculated for mean values.\n"
+ u"Stdev(Diff): "
+ u"Standard deviation of percentage change calculated for mean "
+ u"values.\n"
+ u":END"
+ )
except (AttributeError, KeyError) as err:
logging.error(f"The model is invalid, missing parameter: {repr(err)}")
return
with open(csv_file, u"wt") as file_handler:
file_handler.write(header_str)
for test in tbl_lst:
- file_handler.write(u",".join([str(item) for item in test]) + u"\n")
+ file_handler.write(u";".join([str(item) for item in test]) + u"\n")
- convert_csv_to_pretty_txt(csv_file, f"{table[u'output-file']}.txt")
+ convert_csv_to_pretty_txt(
+ csv_file, f"{table[u'output-file']}.txt", delimiter=u";"
+ )
+ with open(f"{table[u'output-file']}.txt", u'a') as txt_file:
+ txt_file.write(legend)
# Generate html table:
- _tpc_generate_html_table(header, tbl_lst, f"{table[u'output-file']}.html")
+ _tpc_generate_html_table(
+ header,
+ tbl_lst,
+ table[u'output-file'],
+ legend=legend
+ )
def table_perf_trending_dash(table, input_data):
continue
tbl_lst.append(
[tbl_dict[tst_name][u"name"],
- round(last_avg / 1000000, 2),
+ round(last_avg / 1e6, 2),
rel_change_last,
rel_change_long,
classification_lst[-win_size:].count(u"regression"),
Code Review / csit.git / blobdiff