Feature #502 buffer occupancy report

Script can be called like this: python toolkit/bufferOccupancy.py reports/realisticScenario_BufferOccupancyReport.txt /reports/BufferOccupancy.png

Resulting pictures look like this:

toolkit/reportSummary/bufferOccupancy.py

+import matplotlib.pyplot as plt
+import sys
+import re
+
+# Script that generates plots about buffer occupancy from buffer occupancy report
+# Takes as arguments
+# (1) a buffer occupancy report
+# (2) path to save the graphic to.
+#
+# The buffer occupancy report file should have a format like:
+# [Simulation time] [average buffer occupancy % [0..100] ] [variance] [min] [max]
+
+# Read delay analysis from file
+with open(sys.argv[1]) as file_name:
+    analysis = file_name.readlines()
+
+times = []
+avgOccupancies = []
+minima = []
+maxima = []
+variances = []
+
+for line in analysis:
+    match = re.match("(\d+\.\d+\s)(\d+\.\d+\s)(\d+\.\d+\s)(\d+\.\d+\s)(\d+\.\d+)", line)
+    if match is None:
+        print("no match")
+        continue
+    simTime = float(match.group(1)) / 60
+    avgOccupancy = float(match.group(2))
+    variance = float(match.group(3))
+    min = float(match.group(4))
+    max = float(match.group(5))
+    times.append(simTime)
+    avgOccupancies.append(avgOccupancy)
+    minima.append(min)
+    maxima.append(max)
+    variances.append(variance)
+
+plt.grid(True)
+plt.plot(times, maxima, label="maximum")
+plt.plot(times, avgOccupancies, label="mean")
+plt.plot(times, minima, label="minimum")
+plt.plot(times, variances, label="variance")
+
+plt.xlabel('Time in minutes')
+plt.ylabel('Percentage of buffer that is occupied')
+plt.legend(loc='right')
+plt.title('Buffer occupancy')
+
+plt.savefig(sys.argv[2], dpi=300)
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