Add plot for packets sent per connection

code/ID2TLib/Statistics.py

@@ -925,6 +925,60 @@ class Statistics:
                 plt.savefig(out, dpi=500)
                 return out
 
+        def plot_packets_per_connection(file_ending: str):
+            plt.gcf().clear()
+            result = self.stats_db._process_user_defined_query(
+                "SELECT ipAddressA, portA, ipAddressB, portB, pktsCount FROM conv_statistics")
+            if (result):
+                graphy, graphx = [], []
+                # plot data in descending order
+                result = sorted(result, key=lambda row: row[4])
+
+                # compute plot data
+                for i, row in enumerate(result):
+                    addr1, addr2 = "%s:%d" % (row[0], row[1]), "%s:%d" % (row[2], row[3])
+                    # adjust the justification of strings to improve appearance
+                    len_max = max(len(addr1), len(addr2))
+                    addr1 = addr1.ljust(len_max)
+                    addr2 = addr2.ljust(len_max)
+                    # add plot data
+                    graphy.append("%s\n%s" % (addr1, addr2))
+                    graphx.append(row[4])
+
+                # compute plot height in inches
+                dist_mult_height, dist_mult_width = 0.55, 0.07  # these values turned out to work well
+                plt_height, plt_width = len(graphy) * dist_mult_height, max(graphx) * dist_mult_width
+                title_distance = 1 + 0.012*52.8/plt_height  # orginally, a good title distance turned out to be 1.012 with a plot height of 52.8 
+
+                # have x axis and its label appear at the top (instead of bottom)
+                fig, ax = plt.subplots()
+                ax.xaxis.tick_top()
+                ax.xaxis.set_label_position("top")
+
+                # set additional plot parameters
+                plt.title("Sent packets per connection", y=title_distance)
+                plt.xlabel('Number of Packets')
+                plt.ylabel('Connection')
+                width = 0.5
+                plt.grid(True)
+                plt.gca().margins(y=0)  # removes the space between data and x-axis within the plot 
+                plt.gcf().set_size_inches(plt_width, plt_height)  # set plot size
+
+                # plot the above data, first use plain numbers as graphy to maintain sorting
+                plt.barh(range(len(graphy)), graphx, width, align='center', linewidth=1, color='red', edgecolor='red')
+                # now change the y numbers to the respective address labels
+                plt.yticks(range(len(graphy)), graphy)
+                # use tight layout to cut off unnecessary space
+                plt.tight_layout(pad=4)
+
+                # save created figure
+                out = self.pcap_filepath.replace('.pcap', '_plot-connection' + file_ending)
+                plt.savefig(out, dpi=500)
+                return out
+            else:
+                print("Error plot protocol: No protocol values found!")
+
+
         ttl_out_path = plot_ttl('.' + format)
         mss_out_path = plot_mss('.' + format)
         win_out_path = plot_win('.' + format)
@@ -940,6 +994,7 @@ class Statistics:
         plot_interval_new_tos = plot_interval_new_tos('.' + format)
         plot_interval_new_win_size = plot_interval_new_win_size('.' + format)
         plot_interval_new_mss = plot_interval_new_mss('.' + format)
+        plot_packets_per_connection_out = plot_packets_per_connection('.' + format)
 
         ## Time consuming plot
         # port_out_path = plot_port('.' + format)