X-Git-Url: https://gerrit.fd.io/r/gitweb?p=csit.git;a=blobdiff_plain;f=resources%2Ftools%2Fpresentation%2Fgenerator_CPTA.py;h=69c52d4180f2ae3fe17c8a307ef0f1602b76a056;hp=0c317c05ce4987a138f08c2c76f6f5b2b4d4e61b;hb=c623ad8042127fcb4bbd3c9ffb646f40371b7510;hpb=5ae1aea05849a69a97f559756e80b9794482f302 diff --git a/resources/tools/presentation/generator_CPTA.py b/resources/tools/presentation/generator_CPTA.py index 0c317c05ce..69c52d4180 100644 --- 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, - + "line": { + "width": 2 + }, "colorbar": { "y": 0.5, "len": 0.8, - "title": "Results Clasification", + "title": "Circles Marking Data Classification", "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", "Regression", "Normal", "Progression"], + "ticks": "", "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: - min_periods = moving_win_size / 2 + 1 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, @@ -423,9 +424,6 @@ def _generate_all_charts(spec, input_data): idx += 1 # Generate the chart: - period_name = "Daily" if period == 1 else \ - "Weekly" if period < 20 else "Monthly" - chart["layout"]["title"] = chart["title"].format(period=period_name) _generate_chart(traces, chart["layout"], file_name="{0}-{1}-{2}{3}".format( @@ -444,10 +442,18 @@ def _generate_all_charts(spec, input_data): txt_table = None with open("{0}.csv".format(file_name), 'rb') as csv_file: 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) + header = False 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" with open("{0}.txt".format(file_name), "w") as txt_file: