f'src="../..{out_file_name.replace(u"_build", u"")}_in.html">'
f'</iframe>\n\n'
)
+
+ # TODO: Use html (rst) list for legend and footnote
if legend:
rst_file.write(legend[1:].replace(u"\n", u" |br| "))
if footnote:
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"
+ u"values."
)
except (AttributeError, KeyError) as err:
logging.error(f"The model is invalid, missing parameter: {repr(err)}")
)
data = input_data.filter_data(table, continue_on_error=True)
+ test_type = u"MRR"
+ if u"NDRPDR" in table.get(u"filter", list()):
+ test_type = u"NDRPDR"
+
# Prepare the header of the tables
header = [
u"Test Case",
fails_last_csit = val[3]
if fails_nr:
max_fails = fails_nr if fails_nr > max_fails else max_fails
- tbl_lst.append(
- [
- tst_data[u"name"],
- fails_nr,
- fails_last_date,
- fails_last_vpp,
- f"mrr-daily-build-{fails_last_csit}"
- ]
- )
+ tbl_lst.append([
+ tst_data[u"name"],
+ fails_nr,
+ fails_last_date,
+ fails_last_vpp,
+ f"{u'mrr-daily' if test_type == u'MRR' else u'ndrpdr-weekly'}"
+ f"-build-{fails_last_csit}"
+ ])
tbl_lst.sort(key=lambda rel: rel[2], reverse=True)
tbl_sorted = list()
with open(txt_file_name, u'a', encoding='utf-8') as txt_file:
txt_file.write(legend)
txt_file.write(footnote)
- if legend or footnote:
- txt_file.write(u"\n:END")
# Generate html table:
_tpc_generate_html_table(