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-rw-r--r--resources/tools/presentation/generator_tables.py63
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"),