PAL Trending: fix in remove_outliers
[csit.git] / resources / tools / presentation / generator_tables.py
index 32273ca..50a6623 100644 (file)
@@ -25,7 +25,7 @@ from math import isnan
 from xml.etree import ElementTree as ET
 
 from errors import PresentationError
-from utils import mean, stdev, relative_change, remove_outliers, find_outliers
+from utils import mean, stdev, relative_change, remove_outliers, split_outliers
 
 
 def generate_tables(spec, data):
@@ -405,14 +405,16 @@ def table_performance_comparison(table, input_data):
         item = [tbl_dict[tst_name]["name"], ]
         if tbl_dict[tst_name]["ref-data"]:
             data_t = remove_outliers(tbl_dict[tst_name]["ref-data"],
-                                     table["outlier-const"])
+                                     outlier_const=table["outlier-const"])
+            # TODO: Specify window size.
             item.append(round(mean(data_t) / 1000000, 2))
             item.append(round(stdev(data_t) / 1000000, 2))
         else:
             item.extend([None, None])
         if tbl_dict[tst_name]["cmp-data"]:
             data_t = remove_outliers(tbl_dict[tst_name]["cmp-data"],
-                                     table["outlier-const"])
+                                     outlier_const=table["outlier-const"])
+            # TODO: Specify window size.
             item.append(round(mean(data_t) / 1000000, 2))
             item.append(round(stdev(data_t) / 1000000, 2))
         else:
@@ -594,14 +596,16 @@ def table_performance_comparison_mrr(table, input_data):
         item = [tbl_dict[tst_name]["name"], ]
         if tbl_dict[tst_name]["ref-data"]:
             data_t = remove_outliers(tbl_dict[tst_name]["ref-data"],
-                                     table["outlier-const"])
+                                     outlier_const=table["outlier-const"])
+            # TODO: Specify window size.
             item.append(round(mean(data_t) / 1000000, 2))
             item.append(round(stdev(data_t) / 1000000, 2))
         else:
             item.extend([None, None])
         if tbl_dict[tst_name]["cmp-data"]:
             data_t = remove_outliers(tbl_dict[tst_name]["cmp-data"],
-                                     table["outlier-const"])
+                                     outlier_const=table["outlier-const"])
+            # TODO: Specify window size.
             item.append(round(mean(data_t) / 1000000, 2))
             item.append(round(stdev(data_t) / 1000000, 2))
         else:
@@ -708,7 +712,8 @@ def table_performance_trending_dashboard(table, input_data):
             name = tbl_dict[tst_name]["name"]
 
             median = pd_data.rolling(window=win_size, min_periods=2).median()
-            trimmed_data, _ = find_outliers(pd_data, outlier_const=1.5)
+            trimmed_data, _ = split_outliers(pd_data, outlier_const=1.5,
+                                             window=win_size)
             stdev_t = pd_data.rolling(window=win_size, min_periods=2).std()
 
             rel_change_lst = [None, ]
@@ -892,7 +897,7 @@ def table_performance_trending_dashboard_html(table, input_data):
     dashboard = ET.Element("table", attrib=dict(width="100%", border='0'))
 
     # Table header:
-    tr = ET.SubElement(dashboard, "tr", attrib=dict(bgcolor="#6699ff"))
+    tr = ET.SubElement(dashboard, "tr", attrib=dict(bgcolor="#7eade7"))
     for idx, item in enumerate(csv_lst[0]):
         alignment = "left" if idx == 0 else "center"
         th = ET.SubElement(tr, "th", attrib=dict(align=alignment))
@@ -907,6 +912,72 @@ def table_performance_trending_dashboard_html(table, input_data):
         for c_idx, item in enumerate(row):
             alignment = "left" if c_idx == 0 else "center"
             td = ET.SubElement(tr, "td", attrib=dict(align=alignment))
+            # Name:
+            url = "../trending/"
+            file_name = ""
+            anchor = "#"
+            feature = ""
+            if c_idx == 0:
+                if "memif" in item:
+                    file_name = "container_memif.html"
+
+                elif "vhost" in item:
+                    if "l2xcbase" in item or "l2bdbasemaclrn" in item:
+                        file_name = "vm_vhost_l2.html"
+                    elif "ip4base" in item:
+                        file_name = "vm_vhost_ip4.html"
+
+                elif "ipsec" in item:
+                    file_name = "ipsec.html"
+
+                elif "ethip4lispip" in item or "ethip4vxlan" in item:
+                    file_name = "ip4_tunnels.html"
+
+                elif "ip4base" in item or "ip4scale" in item:
+                    file_name = "ip4.html"
+                    if "iacl" in item or "snat" in item or "cop" in item:
+                        feature = "-features"
+
+                elif "ip6base" in item or "ip6scale" in item:
+                    file_name = "ip6.html"
+
+                elif "l2xcbase" in item or "l2xcscale" in item \
+                        or "l2bdbasemaclrn" in item or "l2bdscale" in item \
+                        or "l2dbbasemaclrn" in item or "l2dbscale" in item:
+                    file_name = "l2.html"
+                    if "iacl" in item:
+                        feature = "-features"
+
+                if "x520" in item:
+                    anchor += "x520-"
+                elif "x710" in item:
+                    anchor += "x710-"
+                elif "xl710" in item:
+                    anchor += "xl710-"
+
+                if "64b" in item:
+                    anchor += "64b-"
+                elif "78b" in item:
+                    anchor += "78b"
+                elif "imix" in item:
+                    anchor += "imix-"
+                elif "9000b" in item:
+                    anchor += "9000b-"
+                elif "1518" in item:
+                    anchor += "1518b-"
+
+                if "1t1c" in item:
+                    anchor += "1t1c"
+                elif "2t2c" in item:
+                    anchor += "2t2c"
+                elif "4t4c" in item:
+                    anchor += "4t4c"
+
+                url = url + file_name + anchor + feature
+
+                ref = ET.SubElement(td, "a", attrib=dict(href=url))
+                ref.text = item
+
             if c_idx == 2:
                 if item == "regression":
                     td.set("bgcolor", "#eca1a6")
@@ -914,7 +985,8 @@ def table_performance_trending_dashboard_html(table, input_data):
                     td.set("bgcolor", "#d6cbd3")
                 elif item == "progression":
                     td.set("bgcolor", "#bdcebe")
-            td.text = item
+            if c_idx > 0:
+                td.text = item
 
     try:
         with open(table["output-file"], 'w') as html_file: