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Make profiling a decorator
You can call it before any functions/methods using @utils.profiling() <-- you can specify the sort order of the results, by default it sorts by cumulative. It will print the results straight into the Kodi log.
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1 changed files with 18 additions and 35 deletions
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@ -7,6 +7,7 @@ import inspect
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import json
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import json
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import pstats
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import pstats
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import sqlite3
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import sqlite3
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import StringIO
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import os
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import os
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from datetime import datetime, time
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from datetime import datetime, time
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import time
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import time
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@ -266,44 +267,26 @@ def reset():
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line1="Database reset has completed, Kodi will now restart to apply the changes.")
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line1="Database reset has completed, Kodi will now restart to apply the changes.")
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xbmc.executebuiltin('RestartApp')
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xbmc.executebuiltin('RestartApp')
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def startProfiling():
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def profiling(sortby="cumulative"):
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# Will print results to Kodi log
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def decorator(func):
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def wrapper(*args, **kwargs):
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pr = cProfile.Profile()
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pr = cProfile.Profile()
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pr.enable()
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pr.enable()
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result = func(*args, **kwargs)
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return pr
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def stopProfiling(pr, profileName):
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pr.disable()
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pr.disable()
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ps = pstats.Stats(pr)
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profiles = xbmc.translatePath("%sprofiles/"
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s = StringIO.StringIO()
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% xbmcaddon.Addon().getAddonInfo('profile')).decode('utf-8')
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ps = pstats.Stats(pr, stream=s).sort_stats(sortby)
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ps.print_stats()
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logMsg("EMBY Profiling", s.getvalue(), 1)
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if not xbmcvfs.exists(profiles):
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return result
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# Create the profiles folder
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xbmcvfs.mkdir(profiles)
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timestamp = time.strftime("%Y-%m-%d %H-%M-%S")
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return wrapper
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profile = "%s%s_profile_(%s).tab" % (profiles, profileName, timestamp)
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return decorator
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f = xbmcvfs.File(profile, 'w')
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f.write("NumbCalls\tTotalTime\tCumulativeTime\tFunctionName\tFileName\r\n")
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for (key, value) in ps.stats.items():
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(filename, count, func_name) = key
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(ccalls, ncalls, total_time, cumulative_time, callers) = value
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try:
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f.write(
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"%s\t%s\t%s\t%s\t%s\r\n"
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% (ncalls, "{:10.4f}".format(total_time),
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"{:10.4f}".format(cumulative_time), func_name, filename))
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except ValueError:
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f.write(
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"%s\t%s\t%s\t%s\t%s\r\n"
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% (ncalls, "{0}".format(total_time),
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"{0}".format(cumulative_time), func_name, filename))
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f.close()
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def convertdate(date):
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def convertdate(date):
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try:
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try:
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