Python:Logstat local.py

#!/usr/bin/env python
 
 
import numpy as np
import matplotlib.pyplot as plt
 
import urllib2, time, re, os, sys
 
 
 
req = urllib2.Request("http://toolserver.org/~drtrigon/cgi-bin/panel.py?action=logstat&format=plain")
 
f = urllib2.urlopen(req)
buffer = f.read()
f.close()
 
#def subst(matchobj): return "{" + matchobj.group(1) + "}"
def subst(matchobj):
	result = matchobj.group(1)
	result = re.sub("=", "':", result)
	result = re.sub(",\s", ", '", result)
	return "{'" + result + "}"
#buffer = re.sub("time.struct_time\(.*?\)", "None", buffer)
buffer = re.sub("time.struct_time\((.*?)\)", subst, buffer)
stat = eval(buffer)
print "stat keys:", stat.keys()
 
 
# create needed dirs
basedir = os.path.realpath(os.curdir)
workdir = os.path.join(basedir, "logstat_" + time.strftime("%Y%m%d%H%M"))
try:
	os.chdir(workdir)
except:
	os.makedirs(workdir)
os.chdir(workdir)
 
logstat		= os.path.join(workdir, "logstat.txt")
#logstat_plot	= os.path.join(workdir, "logstat.png")
logstat_plot	= os.path.join(workdir, "logstat.pdf")
 
 
f = open(logstat, "w")
 
stat['diff'] = stat['run_count'] - stat['successful_count']
stat['warn_list'] = re.sub("\n\s", "\n", "\n".join(stat['warn_list']))[1:] + "\n"
gettime = lambda a: str(time.strftime("%a %b %d %Y", (a['tm_year'], a['tm_mon'], a['tm_mday'], a['tm_hour'], a['tm_min'], a['tm_sec'], a['tm_wday'], a['tm_yday'], a['tm_isdst'])))
stat['start_date'] = gettime(stat['start_date'])
stat['end_date'] = gettime(stat['end_date'])
stat['logstat_plot'] = logstat_plot
stat['script'] = sys.argv[0]
data = """Evaluated data period from %(start_date)s to %(end_date)s.
 
Created by '%(script)s', see also 'http://toolserver.org/~drtrigon/cgi-bin/panel.py?action=logstat'.
 
Total runs:		%(run_count)s
Successful runs:	%(successful_count)s
Difference:		%(diff)s
 
History compressed: %(histcomp_count)s (times)
 
Problem rate (in %%):
(siehe '%(logstat_plot)s')
 
Warnings:
%(warn_list)s
""" % stat
f.write( data )
 
f.close()
 
 
# http://matplotlib.sourceforge.net/examples/api/barchart_demo.html
 
x = [ item[1]*100 for item in stat['reliability_list'] ]
N = len(x)
 
ind = np.arange(N)	# the x locations for the groups
#width = 0.35		# the width of the bars
#width = 0.4		# the width of the bars (ok for .png)
width = 0.5		# the width of the bars (ok for .pdf)
 
fig = plt.figure()
ax = fig.add_subplot(111)
#rects1 = ax.bar(ind, x, width, color='r')
rects1 = ax.bar(ind, x, width)
 
# add some
# http://matplotlib.sourceforge.net/api/axes_api.html?highlight=set_xticks#matplotlib.axes.Axes.set_xticks
ax.set_title('DrTrigonBot log statistics')
ax.set_ylabel('Problem rate [%]')
ax.set_xticks(7*np.arange(N/7))
#ax.set_xticklabels( ('G1', 'G2', 'G3', 'G4', 'G5') )
 
#ax.legend( (rects1[0], rects2[0]), ('Men', 'Women') )
#ax.legend( (rects1[0],), ('x',) )
 
#def autolabel(rects):
#    # attach some text labels
#    for rect in rects:
#        height = rect.get_height()
#        ax.text(rect.get_x()+rect.get_width()/2., 1.05*height, '%d'%int(height),
#                ha='center', va='bottom')
#
#autolabel(rects1)
#autolabel(rects2)
 
# http://matplotlib.sourceforge.net/api/pyplot_api.html?highlight=save#matplotlib.pyplot.savefig
# http://matplotlib.sourceforge.net/api/pyplot_api.html?highlight=save#matplotlib.pyplot.imsave
plt.savefig(logstat_plot)
#plt.show()