Report: Latency graphs

[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 c9018f4..650a51c 100644 (file)
--- a/resources/tools/presentation/generator_plots.py
+++ b/resources/tools/presentation/generator_plots.py
@@ -62,7 +62,7 @@ COLORS = (
 REGEX_NIC = re.compile(r'(\d*ge\dp\d\D*\d*[a-z]*)-')
 
 # This value depends on latency stream rate (9001 pps) and duration (5s).
-PERCENTILE_MAX = 99.9995
+PERCENTILE_MAX = 99.9999
 
 
 def generate_plots(spec, data):
@@ -336,7 +336,6 @@ def plot_hdrh_lat_by_percentile_x_log(plot, input_data):
 
             fig = plgo.Figure()
             layout = deepcopy(plot[u"layout"])
-            xaxis_max = 0
 
             for color, graph in enumerate(graphs):
                 for idx, direction in enumerate((u"direction1", u"direction2")):
@@ -357,7 +356,8 @@ def plot_hdrh_lat_by_percentile_x_log(plot, input_data):
 
                     for item in decoded.get_recorded_iterator():
                         # The real value is "percentile".
-                        # For 100%, we cut that down to "x_perc" to avoid infinity.
+                        # For 100%, we cut that down to "x_perc" to avoid
+                        # infinity.
                         percentile = item.percentile_level_iterated_to
                         x_perc = min(percentile, PERCENTILE_MAX)
                         xaxis.append(previous_x)
@@ -396,11 +396,11 @@ def plot_hdrh_lat_by_percentile_x_log(plot, input_data):
                             hoverinfo=u"text"
                         )
                     )
-                    xaxis_max = max(xaxis) if xaxis_max < max(
-                        xaxis) else xaxis_max
 
             layout[u"title"][u"text"] = f"<b>Latency:</b> {name}"
-            layout[u"xaxis"][u"range"] = [0, int(log(xaxis_max, 10)) + 1]
+            layout[u"xaxis"][u"range"] = [
+                0, round(log(100.0 / (100.0 - PERCENTILE_MAX), 10))
+            ]
             fig.update_layout(layout)
 
             # Create plot