Fix menu. Add web-socket-js and websockify.html5-test

1 files changed, 206 insertions, 0 deletions

diff --git a/utils/json2graph.py b/utils/json2graph.py
new file mode 100755
index 0000000..0f6a7ad
--- /dev/null
+++ b/utils/json2graph.py
@@ -0,0 +1,206 @@
+#!/usr/bin/env python
+
+'''
+Use matplotlib to generate performance charts
+Copyright 2011 Joel Martin
+Licensed under GPL version 3 (see docs/LICENSE.GPL-3)
+'''
+
+# a bar plot with errorbars
+import sys, json, pprint
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib.font_manager import FontProperties
+
+def usage():
+    print "%s json_file level1 level2 level3 [legend_height]\n\n" % sys.argv[0]
+    print "Description:\n"
+    print "level1, level2, and level3 are one each of the following:\n";
+    print "  select=ITEM - select only ITEM at this level";
+    print "  bar         - each item on this level becomes a graph bar";
+    print "  group       - items on this level become groups of bars";
+    print "\n";
+    print "json_file is a file containing json data in the following format:\n"
+    print '  {';
+    print '    "conf": {';
+    print '      "order_l1": [';
+    print '        "level1_label1",';
+    print '        "level1_label2",';
+    print '        ...';
+    print '      ],';
+    print '      "order_l2": [';
+    print '        "level2_label1",';
+    print '        "level2_label2",';
+    print '        ...';
+    print '      ],';
+    print '      "order_l3": [';
+    print '        "level3_label1",';
+    print '        "level3_label2",';
+    print '        ...';
+    print '      ]';
+    print '    },';
+    print '    "stats": {';
+    print '      "level1_label1": {';
+    print '        "level2_label1": {';
+    print '          "level3_label1": [val1, val2, val3],';
+    print '          "level3_label2": [val1, val2, val3],';
+    print '          ...';
+    print '        },';
+    print '        "level2_label2": {';
+    print '        ...';
+    print '        },';
+    print '      },';
+    print '      "level1_label2": {';
+    print '        ...';
+    print '      },';
+    print '      ...';
+    print '    },';
+    print '  }';
+    sys.exit(2)
+
+def error(msg):
+    print msg
+    sys.exit(1)
+
+
+#colors = ['#ff0000', '#0863e9', '#00f200', '#ffa100',
+#          '#800000', '#805100', '#013075', '#007900']
+colors = ['#ff0000', '#00ff00', '#0000ff',
+          '#dddd00', '#dd00dd', '#00dddd',
+          '#dd6622', '#dd2266', '#66dd22',
+          '#8844dd', '#44dd88', '#4488dd']
+
+if len(sys.argv) < 5:
+    usage()
+
+filename = sys.argv[1]
+L1 = sys.argv[2]
+L2 = sys.argv[3]
+L3 = sys.argv[4]
+if len(sys.argv) > 5:
+    legendHeight = float(sys.argv[5])
+else:
+    legendHeight = 0.75
+
+# Load the JSON data from the file
+data = json.loads(file(filename).read())
+conf = data['conf']
+stats = data['stats']
+
+# Sanity check data hierarchy
+if len(conf['order_l1']) != len(stats.keys()):
+    error("conf.order_l1 does not match stats level 1")
+for l1 in stats.keys():
+    if len(conf['order_l2']) != len(stats[l1].keys()):
+        error("conf.order_l2 does not match stats level 2 for %s" % l1)
+    if conf['order_l1'].count(l1) < 1:
+        error("%s not found in conf.order_l1" % l1)
+    for l2 in stats[l1].keys():
+        if len(conf['order_l3']) != len(stats[l1][l2].keys()):
+            error("conf.order_l3 does not match stats level 3")
+        if conf['order_l2'].count(l2) < 1:
+            error("%s not found in conf.order_l2" % l2)
+        for l3 in stats[l1][l2].keys():
+            if conf['order_l3'].count(l3) < 1:
+                error("%s not found in conf.order_l3" % l3)
+
+#
+# Generate the data based on the level specifications
+#
+bar_labels = None
+group_labels = None
+bar_vals = []
+bar_sdvs = []
+if L3.startswith("select="):
+    select_label = l3 = L3.split("=")[1]
+    bar_labels = conf['order_l1']
+    group_labels = conf['order_l2']
+    bar_vals = [[0]*len(group_labels) for i in bar_labels]
+    bar_sdvs = [[0]*len(group_labels) for i in bar_labels]
+    for b in range(len(bar_labels)):
+        l1 = bar_labels[b]
+        for g in range(len(group_labels)):
+            l2 = group_labels[g]
+            bar_vals[b][g] = np.mean(stats[l1][l2][l3])
+            bar_sdvs[b][g] = np.std(stats[l1][l2][l3])
+elif L2.startswith("select="):
+    select_label = l2 = L2.split("=")[1]
+    bar_labels = conf['order_l1']
+    group_labels = conf['order_l3']
+    bar_vals = [[0]*len(group_labels) for i in bar_labels]
+    bar_sdvs = [[0]*len(group_labels) for i in bar_labels]
+    for b in range(len(bar_labels)):
+        l1 = bar_labels[b]
+        for g in range(len(group_labels)):
+            l3 = group_labels[g]
+            bar_vals[b][g] = np.mean(stats[l1][l2][l3])
+            bar_sdvs[b][g] = np.std(stats[l1][l2][l3])
+elif L1.startswith("select="):
+    select_label = l1 = L1.split("=")[1]
+    bar_labels = conf['order_l2']
+    group_labels = conf['order_l3']
+    bar_vals = [[0]*len(group_labels) for i in bar_labels]
+    bar_sdvs = [[0]*len(group_labels) for i in bar_labels]
+    for b in range(len(bar_labels)):
+        l2 = bar_labels[b]
+        for g in range(len(group_labels)):
+            l3 = group_labels[g]
+            bar_vals[b][g] = np.mean(stats[l1][l2][l3])
+            bar_sdvs[b][g] = np.std(stats[l1][l2][l3])
+else:
+    usage()
+
+# If group is before bar then flip (zip) the data
+if [L1, L2, L3].index("group") < [L1, L2, L3].index("bar"):
+    bar_labels, group_labels = group_labels, bar_labels
+    bar_vals = zip(*bar_vals)
+    bar_sdvs = zip(*bar_sdvs)
+
+print "bar_vals:", bar_vals
+
+#
+# Now render the bar graph
+#
+ind = np.arange(len(group_labels))  # the x locations for the groups
+width = 0.8 * (1.0/len(bar_labels)) # the width of the bars
+
+fig = plt.figure(figsize=(10,6), dpi=80)
+plot = fig.add_subplot(1, 1, 1)
+
+rects = []
+for i in range(len(bar_vals)):
+    rects.append(plot.bar(ind+width*i, bar_vals[i], width, color=colors[i],
+                          yerr=bar_sdvs[i], align='center'))
+
+# add some
+plot.set_ylabel('Milliseconds (less is better)')
+plot.set_title("Javascript array test: %s" % select_label)
+plot.set_xticks(ind+width)
+plot.set_xticklabels( group_labels )
+
+fontP = FontProperties()
+fontP.set_size('small')
+plot.legend( [r[0] for r in rects], bar_labels, prop=fontP,
+            loc = 'center right', bbox_to_anchor = (1.0, legendHeight))
+
+def autolabel(rects):
+    # attach some text labels
+    for rect in rects:
+        height = rect.get_height()
+        if np.isnan(height):
+            height = 0.0
+        plot.text(rect.get_x()+rect.get_width()/2., height+20, '%d'%int(height),
+                ha='center', va='bottom', size='7')
+
+for rect in rects:
+    autolabel(rect)
+
+# Adjust axis sizes
+axis = list(plot.axis())
+axis[0] = -width          # Make sure left side has enough for bar
+#axis[1] = axis[1] * 1.20  # Add 20% to the right to make sure it fits
+axis[2] = 0               # Make y-axis start at 0
+axis[3] = axis[3] * 1.10  # Add 10% to the top
+plot.axis(axis)
+
+plt.show()