X-Git-Url: https://gerrit.fd.io/r/gitweb?p=csit.git;a=blobdiff_plain;f=resources%2Ftools%2Fpresentation%2Fgenerator_tables.py;h=81f022ea47a925e1b2fa66da244b61e1ee61cbd2;hp=9f0096557e6892a6b675f2c5909c4f96c09507fa;hb=be6a64548431c215ba265ee2edc6dc2eb2bff947;hpb=295a68551716af397597bc721d6a3115572009f9

diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py
index 9f0096557e..81f022ea47 100644
--- a/resources/tools/presentation/generator_tables.py
+++ b/resources/tools/presentation/generator_tables.py
@@ -567,7 +567,7 @@ def table_performance_trending_dashboard(table, input_data):
                 try:
                     tbl_dict[tst_name]["data"]. \
                         append(tst_data["result"]["throughput"])
-                except TypeError:
+                except (TypeError, KeyError):
                     pass  # No data in output.xml for this test
 
     tbl_lst = list()
@@ -579,7 +579,8 @@ def table_performance_trending_dashboard(table, input_data):
             # Test name:
             name = tbl_dict[tst_name]["name"]
             # Throughput trend:
-            trend = list(pd_data.rolling(window=win_size).median())[-2]
+            trend = list(pd_data.rolling(window=win_size, min_periods=2).
+                         median())[-2]
             # Anomaly:
             t_data, _ = find_outliers(pd_data)
             last = list(t_data)[-1]
@@ -587,22 +588,25 @@ def table_performance_trending_dashboard(table, input_data):
                          std())[-2]
             if isnan(last):
                 anomaly = "outlier"
+                last = list(pd_data)[-1]
             elif last < (trend - 3 * t_stdev):
                 anomaly = "regression"
             elif last > (trend + 3 * t_stdev):
                 anomaly = "progression"
             else:
                 anomaly = "normal"
-            # Change:
-            change = round(float(last - trend) / 1000000, 2)
-            # Relative change:
-            rel_change = int(relative_change(float(trend), float(last)))
-
-            tbl_lst.append([name,
-                            round(float(last) / 1000000, 2),
-                            change,
-                            rel_change,
-                            anomaly])
+
+            if not isnan(last) and not isnan(trend) and trend != 0:
+                # Change:
+                change = round(float(last - trend) / 1000000, 2)
+                # Relative change:
+                rel_change = int(relative_change(float(trend), float(last)))
+
+                tbl_lst.append([name,
+                                round(float(trend) / 1000000, 2),
+                                change,
+                                rel_change,
+                                anomaly])
 
     # Sort the table according to the relative change
     tbl_lst.sort(key=lambda rel: rel[-2], reverse=True)