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-rwxr-xr-xscripts/backends_cpu_usage/plot.py81
1 files changed, 81 insertions, 0 deletions
diff --git a/scripts/backends_cpu_usage/plot.py b/scripts/backends_cpu_usage/plot.py
new file mode 100755
index 00000000..4e5083ad
--- /dev/null
+++ b/scripts/backends_cpu_usage/plot.py
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+#!/usr/bin/python
+
+
+from matplotlib import pyplot as plt
+from movingaverage import movingaverage
+
+
+def smooth(l):
+ return movingaverage(l, 10, data_is_list=True, avoid_fp_drift=False)
+
+
+files = [
+ ('sqlite', 'b'),
+ ('sqlcipher', 'r'),
+ ('u1dblite', 'g'),
+ ('u1dbcipher', 'm'),
+]
+
+
+# config the plot
+plt.xlabel('time (s)')
+plt.ylabel('cpu usage (%)')
+plt.title('u1db backends CPU usage')
+
+
+for fi in files:
+
+ backend = fi[0]
+ color = fi[1]
+ filename = '%s.txt' % backend
+
+ x = []
+ y = []
+
+ xmax = None
+ xmin = None
+ ymax = None
+ ymin = None
+
+ # read data from file
+ with open(filename, 'r') as f:
+ line = f.readline()
+ while line is not None:
+ time, cpu = tuple(line.strip().split(' '))
+ cpu = float(cpu)
+ x.append(float(time))
+ y.append(cpu)
+ if ymax == None or cpu > ymax:
+ ymax = cpu
+ xmax = time
+ if ymin == None or cpu < ymin:
+ ymin = cpu
+ xmin = time
+ line = f.readline()
+ if line == '':
+ break
+
+ kwargs = {
+ 'linewidth': 1.0,
+ 'linestyle': '-',
+ # 'marker': '.',
+ 'color': color,
+ }
+ plt.plot(
+ [n for n in smooth(x)],
+ [n for n in smooth(y)],
+ label=backend, **kwargs)
+
+ #plt.axes().get_xaxis().set_ticks(x)
+ #plt.axes().get_xaxis().set_ticklabels(x)
+
+ # annotate max and min values
+ #plt.axes().annotate("%.2f GB" % ymax, xy=(xmax, ymax))
+ #plt.axes().annotate("%.2f GB" % ymin, xy=(xmin, ymin))
+
+
+plt.ylim(0, 100)
+plt.grid()
+plt.legend()
+plt.show()
+