return table
-def _tpc_generate_html_table(header, data, output_file_name):
+def _tpc_generate_html_table(header, data, output_file_name, legend=u"",
+ footnote=u""):
"""Generate html table from input data with simple sorting possibility.
:param header: Table header.
header.
:param output_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 legend: str
+ :type footnote: str
"""
try:
ploff.plot(fig, show_link=False, auto_open=False, filename=output_file_name)
+ # Add legend and footnote:
+ if not (legend or footnote):
+ return
+
+ with open(output_file_name, u"rt") as html_file:
+ html_text = html_file.read()
+ if html_text:
+ try:
+ idx = html_text.rindex(u"</div>")
+ except ValueError:
+ return
+ footnote = (legend + footnote).replace(u'\n', u'<br>')
+ html_text = (
+ html_text[:idx] +
+ f"<div>{footnote}</div>" +
+ html_text[idx:]
+ )
+ with open(output_file_name, u"wt") as html_file:
+ html_file.write(html_text)
+
def table_perf_comparison(table, input_data):
"""Generate the table(s) with algorithm: table_perf_comparison
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"rls{item[u'title']}.\n"
+ 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 rls{item[u'title']}.\n"
+ f"against {item[u'title']}.\n"
)
header.extend(
[
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"rls{table[u'reference'][u'title']}.\n"
+ 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 rls{table[u'reference'][u'title']}.\n"
+ 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"rls{table[u'compare'][u'title']}.\n"
+ 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 rls{table[u'compare'][u'title']}.\n"
+ 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"
txt_file_name = f"{table[u'output-file']}.txt"
convert_csv_to_pretty_txt(csv_file, txt_file_name, delimiter=u";")
+ 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(u"\n")
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,
+ f"{table[u'output-file']}.html",
+ legend=legend,
+ footnote=footnote
+ )
def table_perf_comparison_nic(table, input_data):
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"rls{item[u'title']}.\n"
+ 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 rls{item[u'title']}.\n"
+ f"against {item[u'title']}.\n"
)
header.extend(
[
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"rls{table[u'reference'][u'title']}.\n"
+ 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 rls{table[u'reference'][u'title']}.\n"
+ 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"rls{table[u'compare'][u'title']}.\n"
+ 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 rls{table[u'compare'][u'title']}.\n"
+ 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"
txt_file_name = f"{table[u'output-file']}.txt"
convert_csv_to_pretty_txt(csv_file, txt_file_name, delimiter=u";")
+ 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(u"\n")
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,
+ f"{table[u'output-file']}.html",
+ legend=legend,
+ footnote=footnote
+ )
def table_nics_comparison(table, input_data):
f"{table[u'output-file']}.txt",
delimiter=u";")
- with open(table[u'output-file'], u'a') as txt_file:
+ 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,
+ f"{table[u'output-file']}.html",
+ legend=legend
+ )
def table_soak_vs_ndr(table, input_data):
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,
+ f"{table[u'output-file']}.html",
+ 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