X-Git-Url: https://gerrit.fd.io/r/gitweb?p=csit.git;a=blobdiff_plain;f=resources%2Ftools%2Fpresentation%2Fgenerator_tables.py;h=db79396857734478613dfa5dbfc4aff842507bcd;hp=3c4900b2e2e99442ed4d187c41accdcdf5d7270d;hb=d5d53957f4686398727469e0f5b1774a5b6560fe;hpb=623eb22347f7d5218d3536f620d6911cc312d7dd

diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py
index 3c4900b2e2..db79396857 100644
--- a/resources/tools/presentation/generator_tables.py
+++ b/resources/tools/presentation/generator_tables.py
@@ -414,14 +414,19 @@ def table_performance_comparison(table, input_data):
             for job, builds in item["data"].items():
                 for build in builds:
                     for tst_name, tst_data in data[job][str(build)].iteritems():
+                        if tbl_dict.get(tst_name, None) is None:
+                            continue
                         if tbl_dict[tst_name].get("history", None) is None:
                             tbl_dict[tst_name]["history"] = OrderedDict()
                         if tbl_dict[tst_name]["history"].get(item["title"],
                                                              None) is None:
                             tbl_dict[tst_name]["history"][item["title"]] = \
                                 list()
-                        tbl_dict[tst_name]["history"][item["title"]].\
-                            append(tst_data["throughput"]["value"])
+                        try:
+                            tbl_dict[tst_name]["history"][item["title"]].\
+                                append(tst_data["throughput"]["value"])
+                        except (TypeError, KeyError):
+                            pass
 
     tbl_lst = list()
     for tst_name in tbl_dict.keys():
@@ -801,9 +806,9 @@ def table_performance_trending_dashboard(table, input_data):
                         or isnan(stdev_t[build_nr]) \
                         or isnan(value):
                     classification_lst.append("outlier")
-                elif value < (median_t[build_nr] - 3 * stdev_t[build_nr]):
+                elif value < (median_t[build_nr] - 2 * stdev_t[build_nr]):
                     classification_lst.append("regression")
-                elif value > (median_t[build_nr] + 3 * stdev_t[build_nr]):
+                elif value > (median_t[build_nr] + 2 * stdev_t[build_nr]):
                     classification_lst.append("progression")
                 else:
                     classification_lst.append("normal")