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Trending: NDRPDR dashboard
[csit.git]
/
resources
/
tools
/
presentation
/
generator_tables.py
diff --git
a/resources/tools/presentation/generator_tables.py
b/resources/tools/presentation/generator_tables.py
index
08c9d55
..
33cd763
100644
(file)
--- a/
resources/tools/presentation/generator_tables.py
+++ b/
resources/tools/presentation/generator_tables.py
@@
-866,7
+866,7
@@
def table_perf_trending_dash(table, input_data):
if len(data_t) < 2:
continue
if len(data_t) < 2:
continue
- classification_lst, avgs = classify_anomalies(data_t)
+ classification_lst, avgs
, _
= classify_anomalies(data_t)
win_size = min(len(data_t), table[u"window"])
long_win_size = min(len(data_t), table[u"long-trend-window"])
win_size = min(len(data_t), table[u"window"])
long_win_size = min(len(data_t), table[u"long-trend-window"])
@@
-903,8
+903,8
@@
def table_perf_trending_dash(table, input_data):
round(last_avg / 1e6, 2),
rel_change_last,
rel_change_long,
round(last_avg / 1e6, 2),
rel_change_last,
rel_change_long,
- classification_lst[-win_size:].count(u"regression"),
- classification_lst[-win_size:].count(u"progression")])
+ classification_lst[-win_size
+1
:].count(u"regression"),
+ classification_lst[-win_size
+1
:].count(u"progression")])
tbl_lst.sort(key=lambda rel: rel[0])
tbl_lst.sort(key=lambda rel: rel[0])
@@
-1155,7
+1155,7
@@
def table_perf_trending_dash_html(table, input_data):
attrib=dict(align=u"left" if c_idx == 0 else u"center")
)
# Name:
attrib=dict(align=u"left" if c_idx == 0 else u"center")
)
# Name:
- if c_idx == 0:
+ if c_idx == 0
and table.get(u"add-links", True)
:
ref = ET.SubElement(
tdata,
u"a",
ref = ET.SubElement(
tdata,
u"a",