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PAL Trending: Data in txt table in Mpps
[csit.git]
/
resources
/
tools
/
presentation
/
generator_CPTA.py
diff --git
a/resources/tools/presentation/generator_CPTA.py
b/resources/tools/presentation/generator_CPTA.py
index
0c317c0
..
2e9abde
100644
(file)
--- a/
resources/tools/presentation/generator_CPTA.py
+++ b/
resources/tools/presentation/generator_CPTA.py
@@
-291,19
+291,21
@@
def _generate_trending_traces(in_data, period, moving_win_size=10,
"color": anomalies_res,
"colorscale": color_scale,
"showscale": True,
"color": anomalies_res,
"colorscale": color_scale,
"showscale": True,
-
+ "line": {
+ "width": 2
+ },
"colorbar": {
"y": 0.5,
"len": 0.8,
"colorbar": {
"y": 0.5,
"len": 0.8,
- "title": "
Results Cla
sification",
+ "title": "
Circles Marking Data Clas
sification",
"titleside": 'right',
"titlefont": {
"size": 14
},
"tickmode": 'array',
"tickvals": [0.125, 0.375, 0.625, 0.875],
"titleside": 'right',
"titlefont": {
"size": 14
},
"tickmode": 'array',
"tickvals": [0.125, 0.375, 0.625, 0.875],
- "ticktext": ["Outlier", "Regress
", "Normal", "Progress
"],
- "ticks":
'outside'
,
+ "ticktext": ["Outlier", "Regress
ion", "Normal", "Progression
"],
+ "ticks":
""
,
"ticklen": 0,
"tickangle": -90,
"thickness": 10
"ticklen": 0,
"tickangle": -90,
"thickness": 10
@@
-313,9
+315,8
@@
def _generate_trending_traces(in_data, period, moving_win_size=10,
traces.append(trace_anomalies)
if show_moving_median:
traces.append(trace_anomalies)
if show_moving_median:
- min_periods = moving_win_size / 2 + 1
data_mean_y = pd.Series(data_y).rolling(
data_mean_y = pd.Series(data_y).rolling(
- window=moving_win_size, min_periods=
min_periods
).median()
+ window=moving_win_size, min_periods=
2
).median()
trace_median = plgo.Scatter(
x=data_x,
y=data_mean_y,
trace_median = plgo.Scatter(
x=data_x,
y=data_mean_y,
@@
-442,15
+443,23
@@
def _generate_all_charts(spec, input_data):
file_handler.writelines(csv_table)
txt_table = None
file_handler.writelines(csv_table)
txt_table = None
- with open("{0}.csv".format(
file_name
), 'rb') as csv_file:
+ with open("{0}.csv".format(
"cpta-trending"
), 'rb') as csv_file:
csv_content = csv.reader(csv_file, delimiter=',', quotechar='"')
csv_content = csv.reader(csv_file, delimiter=',', quotechar='"')
+ header = True
for row in csv_content:
if txt_table is None:
txt_table = prettytable.PrettyTable(row)
for row in csv_content:
if txt_table is None:
txt_table = prettytable.PrettyTable(row)
+ header = False
else:
else:
+ if not header:
+ for idx, item in enumerate(row):
+ try:
+ row[idx] = str(round(float(item) / 1000000, 2))
+ except ValueError:
+ pass
txt_table.add_row(row)
txt_table.align["Build Number:"] = "l"
txt_table.add_row(row)
txt_table.align["Build Number:"] = "l"
- with open("{0}.txt".format(
file_name
), "w") as txt_file:
+ with open("{0}.txt".format(
"cpta-trending"
), "w") as txt_file:
txt_file.write(str(txt_table))
# Evaluate result:
txt_file.write(str(txt_table))
# Evaluate result: