X-Git-Url: https://gerrit.fd.io/r/gitweb?p=csit.git;a=blobdiff_plain;f=resources%2Ftools%2Fpresentation%2Fgenerator_CPTA.py;h=51787e43c51ad78e9c372e56c15fe5840d5180ce;hp=25be09f9593a6a0522b416fae9b7f24a225b5364;hb=0f662ea0defa9b30fa7a7d9256857fce92d20a6e;hpb=0bd0db7f4e5333bcc93fc981594bb90a2ed140fb diff --git a/resources/tools/presentation/generator_CPTA.py b/resources/tools/presentation/generator_CPTA.py index 25be09f959..51787e43c5 100644 --- a/resources/tools/presentation/generator_CPTA.py +++ b/resources/tools/presentation/generator_CPTA.py @@ -25,7 +25,7 @@ import numpy as np import pandas as pd from collections import OrderedDict -from utils import find_outliers, archive_input_data, execute_command +from utils import split_outliers, archive_input_data, execute_command # Command to build the html format of the report @@ -165,7 +165,7 @@ def _evaluate_results(in_data, trimmed_data, window=10): if len(in_data) > 2: win_size = in_data.size if in_data.size < window else window results = [0.66, ] - median = in_data.rolling(window=win_size, min_periods=2).median() + median = trimmed_data.rolling(window=win_size, min_periods=2).median() stdev_t = trimmed_data.rolling(window=win_size, min_periods=2).std() first = True @@ -247,7 +247,8 @@ def _generate_trending_traces(in_data, build_info, period, moving_win_size=10, data_pd = pd.Series(data_y, index=data_x) - t_data, outliers = find_outliers(data_pd, outlier_const=1.5) + t_data, outliers = split_outliers(data_pd, outlier_const=1.5, + window=moving_win_size) results = _evaluate_results(data_pd, t_data, window=moving_win_size) anomalies = pd.Series() @@ -297,7 +298,7 @@ def _generate_trending_traces(in_data, build_info, period, moving_win_size=10, hoverinfo="none", showlegend=True, legendgroup=name, - name="{name}: outliers".format(name=name), + name="{name}-anomalies".format(name=name), marker={ "size": 15, "symbol": "circle-open", @@ -436,7 +437,8 @@ def _generate_all_charts(spec, input_data): tst_lst = list() for build in builds_lst: item = tst_data.get(int(build), '') - tst_lst.append(str(item) if item else '') + tst_lst.append(str(item)) + # tst_lst.append(str(item) if item else '') csv_table.append("{0},".format(tst_name) + ",".join(tst_lst) + '\n') for period in chart["periods"]: