diff options
Diffstat (limited to 'resources/tools/presentation/generator_tables.py')
| -rw-r--r-- | resources/tools/presentation/generator_tables.py | 63 |
1 files changed, 55 insertions, 8 deletions
diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py index afc154a024..e9aa27280e 100644 --- a/resources/tools/presentation/generator_tables.py +++ b/resources/tools/presentation/generator_tables.py @@ -483,7 +483,8 @@ def _tpc_sort_table(table): 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. @@ -493,9 +494,13 @@ def _tpc_generate_html_table(header, data, output_file_name): 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: @@ -585,6 +590,26 @@ def _tpc_generate_html_table(header, data, output_file_name): 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 @@ -924,17 +949,23 @@ def table_perf_comparison(table, input_data): 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): @@ -1281,17 +1312,23 @@ def table_perf_comparison_nic(table, input_data): 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): @@ -1460,7 +1497,12 @@ def table_nics_comparison(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_soak_vs_ndr(table, input_data): @@ -1635,7 +1677,12 @@ 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): @@ -1731,7 +1778,7 @@ 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"), |