Report: Add CentOS func tests

[csit.git] / resources / tools / presentation / generator_tables.py

diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py
index 6948b45..0b92db6 100644 (file)
--- a/resources/tools/presentation/generator_tables.py
+++ b/resources/tools/presentation/generator_tables.py
@@ -432,8 +432,8 @@ def table_performance_comparison(table, input_data):
     for tst_name in tbl_dict.keys():
         item = [tbl_dict[tst_name]["name"], ]
         if history:
-            for hist_list in tbl_dict[tst_name]["history"].values():
-                for hist_data in hist_list:
+            if tbl_dict[tst_name].get("history", None) is not None:
+                for hist_data in tbl_dict[tst_name]["history"].values():
                     if hist_data:
                         data_t = remove_outliers(
                             hist_data, outlier_const=table["outlier-const"])
@@ -444,6 +444,8 @@ def table_performance_comparison(table, input_data):
                             item.extend([None, None])
                     else:
                         item.extend([None, None])
+            else:
+                item.extend([None, None])
         if tbl_dict[tst_name]["ref-data"]:
             data_t = remove_outliers(tbl_dict[tst_name]["ref-data"],
                                      outlier_const=table["outlier-const"])
@@ -466,8 +468,8 @@ def table_performance_comparison(table, input_data):
                 item.extend([None, None])
         else:
             item.extend([None, None])
-        if item[-5] is not None and item[-3] is not None and item[-5] != 0:
-            item.append(int(relative_change(float(item[-5]), float(item[-3]))))
+        if item[-4] is not None and item[-2] is not None and item[-4] != 0:
+            item.append(int(relative_change(float(item[-4]), float(item[-2]))))
         if len(item) == len(header):
             tbl_lst.append(item)
 
@@ -789,14 +791,6 @@ def table_performance_trending_dashboard(table, input_data):
             # Test name:
             name = tbl_dict[tst_name]["name"]
 
-            logging.info("{}".format(name))
-            logging.info("pd_data : {}".format(pd_data))
-            logging.info("data_t : {}".format(data_t))
-            logging.info("median_t : {}".format(median_t))
-            logging.info("last_median_t : {}".format(last_median_t))
-            logging.info("median_t_14 : {}".format(median_t_14))
-            logging.info("max_median : {}".format(max_median))
-
             # Classification list:
             classification_lst = list()
             for build_nr, value in pd_data.iteritems():
@@ -846,7 +840,8 @@ def table_performance_trending_dashboard(table, input_data):
         for nrp in range(table["window"], -1, -1):
             tbl_pro = [item for item in tbl_reg if item[5] == nrp]
             for nro in range(table["window"], -1, -1):
-                tbl_out = [item for item in tbl_pro if item[5] == nro]
+                tbl_out = [item for item in tbl_pro if item[6] == nro]
+                tbl_out.sort(key=lambda rel: rel[2])
                 tbl_sorted.extend(tbl_out)
 
     file_name = "{0}{1}".format(table["output-file"], table["output-file-ext"])
@@ -909,8 +904,20 @@ def table_performance_trending_dashboard_html(table, input_data):
         th.text = item
 
     # Rows:
+    colors = {"regression": ("#ffcccc", "#ff9999"),
+              "progression": ("#c6ecc6", "#9fdf9f"),
+              "outlier": ("#e6e6e6", "#cccccc"),
+              "normal": ("#e9f1fb", "#d4e4f7")}
     for r_idx, row in enumerate(csv_lst[1:]):
-        background = "#D4E4F7" if r_idx % 2 else "white"
+        if int(row[4]):
+            color = "regression"
+        elif int(row[5]):
+            color = "progression"
+        elif int(row[6]):
+            color = "outlier"
+        else:
+            color = "normal"
+        background = colors[color][r_idx % 2]
         tr = ET.SubElement(dashboard, "tr", attrib=dict(bgcolor=background))
 
         # Columns: