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authorTimothy Pearson <kb9vqf@pearsoncomputing.net>2012-01-30 20:20:24 -0600
committerTimothy Pearson <kb9vqf@pearsoncomputing.net>2012-01-30 20:20:24 -0600
commitcfccedd9c8db3af36d7c5635ca212fa170bb6ff5 (patch)
treec80df038c9b6e40b4e28c26203de0dd9b1cd1593 /tdecachegrind/converters/hotshot2calltree
parent2020f146a7175288d0aaf15cd91b95e545bbb915 (diff)
downloadtdesdk-cfccedd9c8db3af36d7c5635ca212fa170bb6ff5.tar.gz
tdesdk-cfccedd9c8db3af36d7c5635ca212fa170bb6ff5.zip
Part 2 of prior commit
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+#!/usr/bin/env python
+# _*_ coding: latin1 _*_
+
+#
+# Copyright (c) 2003 by WEB.DE, Karlsruhe
+# Autor: Jörg Beyer <job@webde-ag.de>
+#
+# hotshot2cachegrind is free software; you can redistribute it and/or
+# modify it under the terms of the GNU General Public
+# License as published by the Free Software Foundation, version 2.
+#
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+# General Public License for more details.
+
+# You should have received a copy of the GNU General Public License
+# along with this program; see the file COPYING. If not, write to
+# the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor,
+# Boston, MA 02110-1301, USA.
+#
+#
+# This script transforms the pstat output of the hotshot
+# python profiler into the input of tdecachegrind.
+#
+# example usage:
+# modify you python script to run this code:
+#
+# import hotshot
+# filename = "pythongrind.prof"
+# prof = hotshot.Profile(filename, lineevents=1)
+# prof.runcall(run) # assuming that "run" should be called.
+# prof.close()
+#
+# it will run the "run"-method under profiling and write
+# the results in a file, called "pythongrind.prof".
+#
+# then call this script:
+# hotshot2cachegrind -o <output> <input>
+# or here:
+# hotshot2cachegrind cachegrind.out.0 pythongrind.prof
+#
+# then call tdecachegrind:
+# tdecachegrind cachegrind.out.0
+#
+# TODO:
+# * es gibt Probleme mit rekursiven (direkt und indirekt) Aufrufen - dann
+# stimmen die Kosten nicht.
+#
+# * einige Funktionen werden mit "?" als Name angezeigt. Evtl sind
+# das nur die C/C++ extensions.
+#
+# * es fehlt noch ein Funktionsnamen Mangling, dass die Filenamen berücksichtigt,
+# zZ sind alle __init__'s und alle run's schwer unterscheidbar :-(
+#
+version = "$Revision$"
+progname = "hotshot2cachegrind"
+
+import os, sys
+from hotshot import stats,log
+import os.path
+
+file_limit=0
+
+what2text = {
+ log.WHAT_ADD_INFO : "ADD_INFO",
+ log.WHAT_DEFINE_FUNC : "DEFINE_FUNC",
+ log.WHAT_DEFINE_FILE : "DEFINE_FILE",
+ log.WHAT_LINENO : "LINENO",
+ log.WHAT_EXIT : "EXIT",
+ log.WHAT_ENTER : "ENTER"}
+
+# a pseudo caller on the caller stack. This represents
+# the Python interpreter that executes the given python
+# code.
+root_caller = ("PythonInterpreter",0,"execute")
+
+class CallStack:
+ """A tiny Stack implementation, based on python lists"""
+ def __init__(self):
+ self.stack = []
+ self.recursion_counter = {}
+ def push(self, elem):
+ """put something on the stack"""
+ self.stack.append(elem)
+ rc = self.recursion_counter.get(elem, 0)
+ self.recursion_counter[elem] = rc + 1
+
+ def pop(self):
+ """get the head element of the stack and remove it from teh stack"""
+ elem = self.stack[-1:][0]
+ rc = self.recursion_counter.get(elem) - 1
+ if rc>0:
+ self.recursion_counter[elem] = rc
+ else:
+ del self.recursion_counter[elem]
+ return self.stack.pop()
+
+ def top(self):
+ """get the head element of the stack, stack is unchanged."""
+ return self.stack[-1:][0]
+ def handleLineCost(self, tdelta):
+ p, c = self.stack.pop()
+ self.stack.append( (p,c + tdelta) )
+ def size(self):
+ """ return how many elements the stack has"""
+ return len(self.stack)
+
+ def __str__(self):
+ return "[stack: %s]" % self.stack
+
+ def recursion(self, pos):
+ return self.recursion_counter.get(pos, 0)
+ #return self.recursion_dict.has_key((entry[0][0], entry[0][2]))
+
+def return_from_call(caller_stack, call_dict, cost_now):
+ """return from a function call
+ remove the function from the caller stack,
+ add the costs to the calling function.
+ """
+ called, cost_at_enter = caller_stack.pop()
+ caller, caller_cost = caller_stack.top()
+
+ #print "return_from_call: %s ruft %s" % (caller, called,)
+
+ per_file_dict = call_dict.get(called[0], {})
+ per_caller_dict = per_file_dict.get(called[2], {})
+ cost_so_far, call_counter = per_caller_dict.get(caller, (0, 0))
+
+ if caller_stack.recursion(called):
+ per_caller_dict[caller] = (cost_so_far, call_counter + 1)
+ else:
+ per_caller_dict[caller] = (cost_so_far + cost_now - cost_at_enter, call_counter + 1)
+
+ per_file_dict[called[2]] = per_caller_dict
+ call_dict[called[0]] = per_file_dict
+
+
+def updateStatus(filecount):
+ sys.stdout.write("reading File #%d \r" % filecount)
+ sys.stdout.flush()
+def convertProfFiles(output, inputfilenames):
+ """convert all the given input files into one tdecachegrind
+ input file.
+ """
+ call_dict = {}
+ cost_per_pos = {}
+ cost_per_function = {}
+ caller_stack = CallStack()
+ caller_stack.push((root_caller, 0))
+
+ total_cost = 0
+ filecount = 1
+ number_of_files = len(inputfilenames)
+ for inputfilename in inputfilenames:
+ updateStatus(filecount)
+ cost, filecount = convertHandleFilename(inputfilename, caller_stack, call_dict, cost_per_pos, cost_per_function, filecount)
+ total_cost += cost
+ if (file_limit > 0) and (filecount > file_limit):
+ break
+
+ print
+ print "total_cost: % d Ticks",total_cost
+ dumpResults(output, call_dict, total_cost, cost_per_pos, cost_per_function)
+
+def convertHandleFilename(inputfilename, caller_stack, call_dict, cost_per_pos, cost_per_function, filecount):
+ updateStatus(filecount)
+ if not ((file_limit > 0) and (filecount > file_limit)):
+ if os.path.isdir(inputfilename):
+ cost, filecount = convertProfDir(inputfilename, caller_stack, call_dict, cost_per_pos, cost_per_function, filecount)
+ elif os.path.isfile(inputfilename):
+ cost = convertProfFile(inputfilename, caller_stack, call_dict, cost_per_pos, cost_per_function)
+ filecount += 1
+ else:
+ sys.stderr.write("warn: ignoring '%s', is no file and no directory\n" % inputfilename)
+ cost = 0
+ return (cost, filecount)
+
+def convertProfDir(start, caller_stack, call_dict, cost_per_pos, cost_per_function, filecount):
+ cost = 0
+ filenames = os.listdir(start)
+ for f in filenames:
+ if (file_limit > 0) and (filecount > file_limit):
+ break
+ full = os.path.join(start, f)
+ c, filecount = convertHandleFilename(full, caller_stack, call_dict, cost_per_pos, cost_per_function, filecount)
+ cost += c;
+ return (cost, filecount)
+
+def handleCostPerPos(cost_per_pos, pos, current_cost):
+ """
+ the cost per source position are managed in a dict in a dict.
+
+ the cost are handled per file and there per function.
+ so, the per-file-dict contains some per-function-dicts
+ which sum up the cost per line (in this function and in
+ this file).
+ """
+ filename = pos[0]
+ lineno = pos[1]
+ funcname = pos[2]
+ file_dict = cost_per_pos.get(filename, {})
+ func_dict = file_dict.get(funcname, {})
+ func_dict.setdefault(lineno, 0)
+ func_dict[lineno] += current_cost
+ file_dict[funcname] = func_dict
+ cost_per_pos[filename] = file_dict
+
+def convertProfFile(inputfilename, caller_stack, call_dict, cost_per_pos, cost_per_function):
+ """convert a single input file into one tdecachegrind
+ data.
+
+ this is the most expensive function in this python source :-)
+ """
+
+ total_cost = 0
+ try:
+ logreader = log.LogReader(inputfilename)
+ current_cost = 0
+ hc = handleCostPerPos # shortcut
+ for item in logreader:
+ what, pos ,tdelta = item
+ (file, lineno, func) = pos
+ #line = "%s %s %d %s %d" % (what2text[what], file, lineno, func, tdelta)
+ #print line
+ # most common cases first
+ if what == log.WHAT_LINENO:
+ # add the current cost to the current function
+ hc(cost_per_pos, pos, tdelta)
+ total_cost += tdelta
+ elif what == log.WHAT_ENTER:
+ caller_stack.push((pos, total_cost))
+ hc(cost_per_pos, pos, tdelta)
+ total_cost += tdelta
+ elif what == log.WHAT_EXIT:
+ hc(cost_per_pos, pos, tdelta)
+ total_cost += tdelta
+ return_from_call(caller_stack, call_dict, total_cost)
+ else:
+ assert 0, "duh: %d" % what
+
+
+ # I have no idea, why sometimes the stack is not empty - we
+ # have to rewind the stack to get 100% for the root_caller
+ while caller_stack.size() > 1:
+ return_from_call(caller_stack, call_dict, total_cost)
+
+ except IOError:
+ print "could not open inputfile '%s', ignore this." % inputfilename
+ except EOFError, m:
+ print "EOF: %s" % (m,)
+ return total_cost
+
+def pretty_name(file, function):
+ #pfile = os.path.splitext(os.path.basename(file)) [0]
+ #return "%s_[%s]" % (function, file)
+ return "%s" % function
+ #return "%s::%s" % (file, function)
+ #return "%s_%s" % (pfile, function)
+
+class TagWriter:
+ def __init__(self, output):
+ self.output = output
+ self.last_values = {}
+
+ def clearTag(self, tag):
+ if self.last_values.has_key(tag):
+ del self.last_values[ tag ]
+ def clear(self):
+ self.last_values = {}
+
+ def write(self, tag, value):
+ self.output.write("%s=%s\n" % (tag, value))
+ #if (not self.last_values.has_key(tag)) or self.last_values[tag] != value:
+ # self.last_values[ tag ] = value
+ # self.output.write("%s=%s\n" % (tag, value))
+
+def dumpResults(output, call_dict, total_cost, cost_per_pos, cost_per_function):
+ """write the collected results in the format tdecachegrind
+ could read.
+ """
+ # the intro
+ output.write("events: Tick\n")
+ output.write("summary: %d\n" % total_cost)
+ output.write("cmd: your python script\n")
+ output.write("\n")
+ tagwriter = TagWriter(output)
+
+ # now the costs per line
+ for file in cost_per_pos.keys():
+ func_dict = cost_per_pos[file]
+ for func in func_dict.keys():
+ line_dict = func_dict[func]
+ tagwriter.write("ob", file)
+ tagwriter.write("fn", func)# pretty_name(file, func)) ; output.write("# ^--- 2\n")
+ tagwriter.write("fl", file)
+ for line in line_dict:
+ output.write("%d %d\n" %( line, line_dict[line] ))
+
+ output.write("\n\n")
+ # now the function calls. For each caller all the called
+ # functions and their costs are written.
+ for file in call_dict.keys():
+ per_file_dict = call_dict[file]
+ #print "file %s -> %s" % (file, per_file_dict)
+ for called_x in per_file_dict.keys():
+ #print "called_x:",called_x
+ per_caller_dict = per_file_dict[called_x]
+ #print "called_x %s wird gerufen von: %s" % (called_x, per_caller_dict)
+ for caller_x in per_caller_dict.keys():
+ tagwriter.write("ob", caller_x[0])
+ tagwriter.write("fn", caller_x[2])# pretty_name(caller_x[2], caller_x[0])) ; output.write("# ^--- 1\n")
+ tagwriter.write("fl", caller_x[0])
+ tagwriter.write("cob", file)
+ tagwriter.write("cfn", called_x) #pretty_name(file, called_x))
+ tagwriter.write("cfl", file)
+ cost, count = per_caller_dict[caller_x]
+ #print "called_x:",called_x
+ output.write("calls=%d\n%d %d\n" % (count, caller_x[1], cost))
+ tagwriter.clear()
+ #tagwriter.clearTag("cob")
+ # is it a bug in tdecachegrind, that the "cob=xxx" line has
+ # to be rewritten after a calls entry with costline ?
+ #assert cost <= total_cost, "caller_x: %s, per_caller_dict: %s " % (caller_x, per_caller_dict, )
+ #output.write("calls=%d\n%d %d\n" % (count, caller_x[1], cost))
+ output.write("\n")
+
+def run_without_optparse():
+ """parse the options without optparse, use sys.argv"""
+ if len(sys.argv) < 4 or sys.argv[1] != "-o" :
+ print "usage: hotshot2cachegrind -o outputfile in1 [in2 [in3 [...]]]"
+ return
+ outputfilename = sys.argv[2]
+ try:
+ output = file(outputfilename, "w")
+ args = sys.argv[3:]
+ convertProfFiles(output, args)
+ output.close()
+ except IOError:
+ print "could not open '%s' for writing." % outputfilename
+
+def run_with_optparse():
+ """parse the options with optparse"""
+
+ global file_limit
+
+ versiontext = "%s version: %s" % ( progname, version.split()[1], )
+ parser = OptionParser(version=versiontext)
+ parser.add_option("-o", "--output",
+ action="store", type="string", dest="outputfilename",
+ help="write output into FILE")
+ parser.add_option("--file-limit",
+ action="store", dest="file_limit", default=0,
+ help="stop after given number of input files")
+ output = sys.stdout
+ close_output = 0
+ (options, args) = parser.parse_args()
+ file_limit = int(options.file_limit)
+ try:
+ if options.outputfilename and options.outputfilename != "-":
+ output = file(options.outputfilename, "w")
+ close_output = 1
+ except IOError:
+ print "could not open '%s' for writing." % options.outputfilename
+ if output:
+ convertProfFiles(output, args)
+ if close_output:
+ output.close()
+
+
+def profile_myself():
+ import hotshot
+ filename = "self.prof"
+ if not os.path.exists(filename):
+ prof = hotshot.Profile(filename, lineevents=1)
+ prof.runcall(run)
+ prof.close()
+ else:
+ print "not profiling myself, since '%s' exists, running normal" % filename
+ run()
+
+# check if optparse is available.
+try:
+ from optparse import OptionParser
+ run = run_with_optparse
+except ImportError:
+ run = run_without_optparse
+
+if __name__ == "__main__":
+ try:
+ run()
+ #profile_myself()
+ except KeyboardInterrupt:
+ sys.exit(1)