From 1bcf59c1928924cac6cc508ec13cb87a9673573c Mon Sep 17 00:00:00 2001 From: Tibor Frank Date: Mon, 30 Mar 2020 16:00:36 +0200 Subject: Report: Comparisom tables - Legend Change-Id: I9bea40d22f9a4aa4f5161f203ba5cc04685a8b19 Signed-off-by: Tibor Frank --- resources/tools/presentation/generator_tables.py | 219 +++++++++++++++++++---- 1 file changed, 184 insertions(+), 35 deletions(-) (limited to 'resources/tools/presentation/generator_tables.py') diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py index e865d3a57b..afc154a024 100644 --- a/resources/tools/presentation/generator_tables.py +++ b/resources/tools/presentation/generator_tables.py @@ -499,7 +499,7 @@ def _tpc_generate_html_table(header, data, output_file_name): """ try: - idx = header.index(u"Test case") + idx = header.index(u"Test Case") except ValueError: idx = 0 params = { @@ -607,7 +607,8 @@ 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) @@ -616,6 +617,9 @@ def table_perf_comparison(table, input_data): 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)) @@ -627,6 +631,16 @@ def table_perf_comparison(table, input_data): 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"rls{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" + ) header.extend( [ f"{table[u'reference'][u'title']} " @@ -643,6 +657,35 @@ def table_perf_comparison(table, input_data): ] ) 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"rls{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"{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']} " + 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"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 @@ -815,9 +858,9 @@ def table_perf_comparison(table, input_data): 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": @@ -831,7 +874,7 @@ def table_perf_comparison(table, input_data): 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": @@ -845,10 +888,10 @@ def table_perf_comparison(table, input_data): 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: @@ -866,7 +909,7 @@ def table_perf_comparison(table, input_data): 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) @@ -881,11 +924,14 @@ 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";") - 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) + 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") @@ -912,7 +958,8 @@ 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) @@ -921,6 +968,9 @@ def table_perf_comparison_nic(table, input_data): 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)) @@ -932,6 +982,16 @@ def table_perf_comparison_nic(table, input_data): 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"rls{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" + ) header.extend( [ f"{table[u'reference'][u'title']} " @@ -948,6 +1008,35 @@ def table_perf_comparison_nic(table, input_data): ] ) 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"rls{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"{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']} " + 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"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 @@ -1126,9 +1215,9 @@ def table_perf_comparison_nic(table, input_data): 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": @@ -1142,7 +1231,7 @@ def table_perf_comparison_nic(table, input_data): 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": @@ -1156,10 +1245,10 @@ def table_perf_comparison_nic(table, input_data): 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: @@ -1177,7 +1266,7 @@ def table_perf_comparison_nic(table, input_data): 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) @@ -1192,11 +1281,14 @@ 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";") - 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) + 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") @@ -1224,7 +1316,7 @@ 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']} " @@ -1237,6 +1329,36 @@ def table_nics_comparison(table, input_data): 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)}") @@ -1334,6 +1456,9 @@ 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: + txt_file.write(legend) + # Generate html table: _tpc_generate_html_table(header, tbl_lst, f"{table[u'output-file']}.html") @@ -1360,15 +1485,37 @@ 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" + 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 @@ -1484,6 +1631,8 @@ def table_soak_vs_ndr(table, input_data): 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") -- cgit 1.2.3-korg