CSIT-1350: Add new data to 1810 report

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

diff --git a/resources/tools/presentation/generator_plots.py b/resources/tools/presentation/generator_plots.py
index 890de20..f406539 100644 (file)
--- a/resources/tools/presentation/generator_plots.py
+++ b/resources/tools/presentation/generator_plots.py
@@ -149,7 +149,11 @@ def plot_performance_box(plot, input_data):
                                y=[y / 1000000 if y else None for y in df[col]],
                                name=name,
                                **plot["traces"]))
-        val_max = max(df[col])
+        try:
+            val_max = max(df[col])
+        except ValueError as err:
+            logging.error(err)
+            continue
         if val_max:
             y_max.append(int(val_max / 1000000) + 1)
 
@@ -241,15 +245,23 @@ def plot_latency_error_bars(plot, input_data):
         y_sorted = OrderedDict()
         y_tags_l = {s: [t.lower() for t in ts] for s, ts in y_tags.items()}
         for tag in order:
+            logging.info(tag)
             for suite, tags in y_tags_l.items():
-                if tag.lower() in tags:
-                    try:
-                        y_sorted[suite] = y_tmp_vals.pop(suite)
-                        y_tags_l.pop(suite)
-                    except KeyError as err:
-                        logging.error("Not found: {0}".format(err))
-                    finally:
-                        break
+                if "not " in tag:
+                    tag = tag.split(" ")[-1]
+                    if tag.lower() in tags:
+                        continue
+                else:
+                    if tag.lower() not in tags:
+                        continue
+                try:
+                    y_sorted[suite] = y_tmp_vals.pop(suite)
+                    y_tags_l.pop(suite)
+                    logging.info(suite)
+                except KeyError as err:
+                    logging.error("Not found: {0}".format(err))
+                finally:
+                    break
     else:
         y_sorted = y_tmp_vals
 
@@ -437,7 +449,11 @@ def plot_throughput_speedup_analysis(plot, input_data):
             vals[name]["diff"] = \
                 [(y_val_1 - y_1c_max[test_name]) * 100 / y_val_1, None, None]
 
-            val_max = max(max(vals[name]["val"], vals[name]["ideal"]))
+            try:
+                val_max = max(max(vals[name]["val"], vals[name]["ideal"]))
+            except ValueError as err:
+                logging.error(err)
+                continue
             if val_max:
                 y_max.append(int((val_max / 10) + 1) * 10)
 
@@ -502,8 +518,11 @@ def plot_throughput_speedup_analysis(plot, input_data):
     x_vals = [1, 2, 4]
 
     # Limits:
-    threshold = 1.1 * max(y_max)  # 10%
-
+    try:
+        threshold = 1.1 * max(y_max)  # 10%
+    except ValueError as err:
+        logging.error(err)
+        return
     nic_limit /= 1000000.0
     if nic_limit < threshold:
         traces.append(plgo.Scatter(
@@ -630,15 +649,11 @@ def plot_throughput_speedup_analysis(plot, input_data):
                                    name="{0} perfect".format(name),
                                    legendgroup=name,
                                    showlegend=False,
-                                   mode="lines+markers",
+                                   mode="lines",
                                    line=dict(
                                        color=COLORS[cidx],
                                        width=2,
                                        dash="dash"),
-                                   marker=dict(
-                                       symbol="circle",
-                                       size=10
-                                   ),
                                    text=["perfect: {0:.2f}Mpps".format(y)
                                          for y in val["ideal"]],
                                    hoverinfo="text"