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authorTibor Frank <tifrank@cisco.com>2018-05-29 10:45:47 +0200
committerTibor Frank <tifrank@cisco.com>2018-05-30 11:06:08 +0000
commite01470ec9038338409a494a2652eecabf4394578 (patch)
tree9a2e19441e2456652901b0e6438fdf909668f6fa /resources/tools/presentation/generator_plots.py
parent564c2ae4f2d3cc7a210f6fe17f55091afcc05d45 (diff)
CSIT-1105: Prepare and generate 18.01.2 report
Change-Id: Iebda4fd10701c27512b443c14b2aeef314003d58 Signed-off-by: Tibor Frank <tifrank@cisco.com>
Diffstat (limited to 'resources/tools/presentation/generator_plots.py')
-rw-r--r--resources/tools/presentation/generator_plots.py8
1 files changed, 8 insertions, 0 deletions
diff --git a/resources/tools/presentation/generator_plots.py b/resources/tools/presentation/generator_plots.py
index b7fd420aa2..6faf4c3935 100644
--- a/resources/tools/presentation/generator_plots.py
+++ b/resources/tools/presentation/generator_plots.py
@@ -59,6 +59,8 @@ def plot_performance_box(plot, input_data):
format(plot.get("title", "")))
# Transform the data
+ logging.info(" Creating the data set for the {0} '{1}'.".
+ format(plot.get("type", ""), plot.get("title", "")))
data = input_data.filter_data(plot)
if data is None:
logging.error("No data.")
@@ -129,6 +131,8 @@ def plot_latency_box(plot, input_data):
format(plot.get("title", "")))
# Transform the data
+ logging.info(" Creating the data set for the {0} '{1}'.".
+ format(plot.get("type", ""), plot.get("title", "")))
data = input_data.filter_data(plot)
if data is None:
logging.error("No data.")
@@ -236,6 +240,8 @@ def plot_throughput_speedup_analysis(plot, input_data):
format(plot.get("title", "")))
# Transform the data
+ logging.info(" Creating the data set for the {0} '{1}'.".
+ format(plot.get("type", ""), plot.get("title", "")))
data = input_data.filter_data(plot)
if data is None:
logging.error("No data.")
@@ -335,6 +341,8 @@ def plot_http_server_performance_box(plot, input_data):
format(plot.get("title", "")))
# Transform the data
+ logging.info(" Creating the data set for the {0} '{1}'.".
+ format(plot.get("type", ""), plot.get("title", "")))
data = input_data.filter_data(plot)
if data is None:
logging.error("No data.")