From 573909b10d77ef3d889d33cfaeb3fdadd0135daf Mon Sep 17 00:00:00 2001
From: drebs <drebs@leap.se>
Date: Mon, 7 Apr 2014 12:40:45 -0300
Subject: Reorganize scripts directory.

---
 scripts/profiling/backends_cpu_usage/plot.py | 81 ++++++++++++++++++++++++++++
 1 file changed, 81 insertions(+)
 create mode 100755 scripts/profiling/backends_cpu_usage/plot.py

(limited to 'scripts/profiling/backends_cpu_usage/plot.py')

diff --git a/scripts/profiling/backends_cpu_usage/plot.py b/scripts/profiling/backends_cpu_usage/plot.py
new file mode 100755
index 00000000..4e5083ad
--- /dev/null
+++ b/scripts/profiling/backends_cpu_usage/plot.py
@@ -0,0 +1,81 @@
+#!/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()
+
-- 
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