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authorTibor Frank <tifrank@cisco.com>2018-04-24 07:28:44 +0200
committerTibor Frank <tifrank@cisco.com>2018-04-24 07:28:44 +0200
commit79e508504fcd6b5b677e567eb09092c5e0821790 (patch)
treeb02ac7500cf9c696cc0955573eb0796bf031493d /resources/tools/presentation/generator_tables.py
parent52f64f232293130904d54a62609eaffc1b145608 (diff)
CSIT-1041: Trending dashboard
Change-Id: Ida3dfcc4a7ae21424e7f6b6db597a80bc633b9da Signed-off-by: Tibor Frank <tifrank@cisco.com>
Diffstat (limited to 'resources/tools/presentation/generator_tables.py')
-rw-r--r--resources/tools/presentation/generator_tables.py27
1 files changed, 16 insertions, 11 deletions
diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py
index 724519f2d1..0f0ed6c7a5 100644
--- a/resources/tools/presentation/generator_tables.py
+++ b/resources/tools/presentation/generator_tables.py
@@ -811,13 +811,17 @@ def table_performance_trending_dashboard(table, input_data):
abs(rel_change_lst[index])):
index = idx
- logging.info("{}".format(name))
- logging.info("sample_lst: {} - {}".format(len(sample_lst), sample_lst))
- logging.info("median_lst: {} - {}".format(len(median_lst), median_lst))
- logging.info("rel_change: {} - {}".format(len(rel_change_lst), rel_change_lst))
- logging.info("classn_lst: {} - {}".format(len(classification_lst), classification_lst))
- logging.info("index: {}".format(index))
- logging.info("classifica: {}".format(classification))
+ logging.debug("{}".format(name))
+ logging.debug("sample_lst: {} - {}".
+ format(len(sample_lst), sample_lst))
+ logging.debug("median_lst: {} - {}".
+ format(len(median_lst), median_lst))
+ logging.debug("rel_change: {} - {}".
+ format(len(rel_change_lst), rel_change_lst))
+ logging.debug("classn_lst: {} - {}".
+ format(len(classification_lst), classification_lst))
+ logging.debug("index: {}".format(index))
+ logging.debug("classifica: {}".format(classification))
try:
trend = round(float(median_lst[-1]) / 1000000, 2) \
@@ -828,12 +832,12 @@ def table_performance_trending_dashboard(table, input_data):
if rel_change_lst[index] is not None else '-'
if not isnan(max_median):
if not isnan(sample_lst[index]):
- long_trend_threshold = max_median * \
- (table["long-trend-threshold"] / 100)
+ long_trend_threshold = \
+ max_median * (table["long-trend-threshold"] / 100)
if sample_lst[index] < long_trend_threshold:
long_trend_classification = "failure"
else:
- long_trend_classification = '-'
+ long_trend_classification = 'normal'
else:
long_trend_classification = "failure"
else:
@@ -843,7 +847,8 @@ def table_performance_trending_dashboard(table, input_data):
long_trend_classification,
classification,
'-' if classification == "normal" else sample,
- '-' if classification == "normal" else rel_change,
+ '-' if classification == "normal" else
+ rel_change,
nr_outliers])
except IndexError as err:
logging.error("{}".format(err))