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cpython/Lib/pstats.py
Guido van Rossum 4f399fb642 more robust coding, adapted for mac
1995-09-30 16:48:54 +00:00

533 lines
16 KiB
Python
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#
# Class for printing reports on profiled python code. rev 1.0 4/1/94
#
# Based on prior profile module by Sjoerd Mullender...
# which was hacked somewhat by: Guido van Rossum
#
# see jprofile.doc and jprofile.py for more info.
# Copyright 1994, by InfoSeek Corporation, all rights reserved.
# Written by James Roskind
#
# Permission to use, copy, modify, and distribute this Python software
# and its associated documentation for any purpose (subject to the
# restriction in the following sentence) without fee is hereby granted,
# provided that the above copyright notice appears in all copies, and
# that both that copyright notice and this permission notice appear in
# supporting documentation, and that the name of InfoSeek not be used in
# advertising or publicity pertaining to distribution of the software
# without specific, written prior permission. This permission is
# explicitly restricted to the copying and modification of the software
# to remain in Python, compiled Python, or other languages (such as C)
# wherein the modified or derived code is exclusively imported into a
# Python module.
#
# INFOSEEK CORPORATION DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS
# SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
# FITNESS. IN NO EVENT SHALL INFOSEEK CORPORATION BE LIABLE FOR ANY
# SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER
# RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF
# CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN
# CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
import os
import time
import string
import marshal
import regex
#**************************************************************************
# Class Stats documentation
#**************************************************************************
# This class is used for creating reports from data generated by the
# Profile class. It is a "friend" of that class, and imports data either
# by direct access to members of Profile class, or by reading in a dictionary
# that was emitted (via marshal) from the Profile class.
#
# The big change from the previous Profiler (in terms of raw functionality)
# is that an "add()" method has been provided to combine Stats from
# several distinct profile runs. Both the constructor and the add()
# method now take arbitrarilly many file names as arguments.
#
# All the print methods now take an argument that indicats how many lines
# to print. If the arg is a floating point number between 0 and 1.0, then
# it is taken as a decimal percentage of the availabel lines to be printed
# (e.g., .1 means print 10% of all available lines). If it is an integer,
# it is taken to mean the number of lines of data that you wish to have
# printed.
#
# The sort_stats() method now processes some additionaly options (i.e., in
# addition to the old -1, 0, 1, or 2). It takes an arbitrary number of quoted
# strings to select the sort order. For example sort_stats('time', 'name')
# sorts on the major key of "internal function time", and on the minor
# key of 'the name of the function'. Look at the two tables in sort_stats()
# and get_sort_arg_defs(self) for more examples.
#
# All methods now return "self", so you can string together commands like:
# Stats('foo', 'goo').strip_dirs().sort_stats('calls').\
# print_stats(5).print_callers(5)
#
#**************************************************************************
import fpformat
class Stats:
def __init__(self, *args):
if not len(args):
arg = None
else:
arg = args[0]
args = args[1:]
self.init(arg)
apply(self.add, args).ignore()
def init(self, arg):
self.all_callees = None # calc only if needed
self.files = []
self.fcn_list = None
self.total_tt = 0
self.total_calls = 0
self.prim_calls = 0
self.max_name_len = 0
self.top_level = {}
self.stats = {}
self.sort_arg_dict = {}
self.load_stats(arg)
trouble = 1
try:
self.get_top_level_stats()
trouble = 0
finally:
if trouble:
print "Invalid timing data",
if self.files: print self.files[-1],
print
def load_stats(self, arg):
if not arg: self.stats = {}
elif type(arg) == type(""):
f = open(arg, 'r')
self.stats = marshal.load(f)
f.close()
try:
file_stats = os.stat(arg)
arg = time.ctime(file_stats[8]) + " " + arg
except: # in case this is not unix
pass
self.files = [ arg ]
elif hasattr(arg, 'create_stats'):
arg.create_stats()
self.stats = arg.stats
arg.stats = {}
if not self.stats:
raise TypeError, "Cannot create or construct a " \
+ `self.__class__` \
+ " object from '" + `arg` + "'"
return
def get_top_level_stats(self):
for func in self.stats.keys():
cc, nc, tt, ct, callers = self.stats[func]
self.total_calls = self.total_calls + nc
self.prim_calls = self.prim_calls + cc
self.total_tt = self.total_tt + tt
if callers.has_key(("jprofile", 0, "profiler")):
self.top_level[func] = None
if len(func_std_string(func)) > self.max_name_len:
self.max_name_len = len(func_std_string(func))
def add(self, *arg_list):
if not arg_list: return self
if len(arg_list) > 1: apply(self.add, arg_list[1:])
other = arg_list[0]
if type(self) != type(other) or \
self.__class__ != other.__class__:
other = Stats(other)
self.files = self.files + other.files
self.total_calls = self.total_calls + other.total_calls
self.prim_calls = self.prim_calls + other.prim_calls
self.total_tt = self.total_tt + other.total_tt
for func in other.top_level.keys():
self.top_level[func] = None
if self.max_name_len < other.max_name_len:
self.max_name_len = other.max_name_len
self.fcn_list = None
for func in other.stats.keys():
if self.stats.has_key(func):
old_func_stat = self.stats[func]
else:
old_func_stat = (0, 0, 0, 0, {},)
self.stats[func] = add_func_stats(old_func_stat, \
other.stats[func])
return self
# list the tuple indicies and directions for sorting,
# along with some printable description
sort_arg_dict_default = {\
"calls" : (((1,-1), ), "call count"),\
"cumulative": (((3,-1), ), "cumulative time"),\
"file" : (((4, 1), ), "file name"),\
"line" : (((5, 1), ), "line number"),\
"module" : (((4, 1), ), "file name"),\
"name" : (((6, 1), ), "function name"),\
"nfl" : (((6, 1),(4, 1),(5, 1),), "name/file/line"), \
"pcalls" : (((0,-1), ), "call count"),\
"stdname" : (((7, 1), ), "standard name"),\
"time" : (((2,-1), ), "internal time"),\
}
# Expand all abbreviations that are unique
def get_sort_arg_defs(self):
if not self.sort_arg_dict:
self.sort_arg_dict = dict = {}
std_list = dict.keys()
bad_list = {}
for word in self.sort_arg_dict_default.keys():
fragment = word
while fragment:
if not fragment:
break
if dict.has_key(fragment):
bad_list[fragment] = 0
break
dict[fragment] = self. \
sort_arg_dict_default[word]
fragment = fragment[:-1]
for word in bad_list.keys():
del dict[word]
return self.sort_arg_dict
def sort_stats(self, *field):
if not field:
self.fcn_list = 0
return self
if len(field) == 1 and type(field[0]) == type(1):
# Be compatible with old profiler
field = [ {-1: "stdname", \
0:"calls", \
1:"time", \
2: "cumulative" } [ field[0] ] ]
sort_arg_defs = self.get_sort_arg_defs()
sort_tuple = ()
self.sort_type = ""
connector = ""
for word in field:
sort_tuple = sort_tuple + sort_arg_defs[word][0]
self.sort_type = self.sort_type + connector + \
sort_arg_defs[word][1]
connector = ", "
stats_list = []
for func in self.stats.keys():
cc, nc, tt, ct, callers = self.stats[func]
stats_list.append((cc, nc, tt, ct) + func_split(func) \
+ (func_std_string(func), func,) )
stats_list.sort(TupleComp(sort_tuple).compare)
self.fcn_list = fcn_list = []
for tuple in stats_list:
fcn_list.append(tuple[-1])
return self
def reverse_order(self):
if self.fcn_list: self.fcn_list.reverse()
return self
def strip_dirs(self):
oldstats = self.stats
self.stats = newstats = {}
max_name_len = 0
for func in oldstats.keys():
cc, nc, tt, ct, callers = oldstats[func]
newfunc = func_strip_path(func)
if len(func_std_string(newfunc)) > max_name_len:
max_name_len = len(func_std_string(newfunc))
newcallers = {}
for func2 in callers.keys():
newcallers[func_strip_path(func2)] = \
callers[func2]
if newstats.has_key(newfunc):
newstats[newfunc] = add_func_stats( \
newstats[newfunc],\
(cc, nc, tt, ct, newcallers))
else:
newstats[newfunc] = (cc, nc, tt, ct, newcallers)
old_top = self.top_level
self.top_level = new_top = {}
for func in old_top.keys():
new_top[func_strip_path(func)] = None
self.max_name_len = max_name_len
self.fcn_list = None
self.all_callees = None
return self
def calc_callees(self):
if self.all_callees: return
self.all_callees = all_callees = {}
for func in self.stats.keys():
if not all_callees.has_key(func):
all_callees[func] = {}
cc, nc, tt, ct, callers = self.stats[func]
for func2 in callers.keys():
if not all_callees.has_key(func2):
all_callees[func2] = {}
all_callees[func2][func] = callers[func2]
return
#******************************************************************
# The following functions support actual printing of reports
#******************************************************************
# Optional "amount" is either a line count, or a percentage of lines.
def eval_print_amount(self, sel, list, msg):
new_list = list
if type(sel) == type(""):
new_list = []
for func in list:
if 0<=regex.search(sel, func_std_string(func)):
new_list.append(func)
else:
count = len(list)
if type(sel) == type(1.0) and 0.0 <= sel < 1.0:
count = int (count * sel + .5)
new_list = list[:count]
elif type(sel) == type(1) and 0 <= sel < count:
count = sel
new_list = list[:count]
if len(list) != len(new_list):
msg = msg + " List reduced from " + `len(list)` \
+ " to " + `len(new_list)` + \
" due to restriction <" + `sel` + ">\n"
return new_list, msg
def get_print_list(self, sel_list):
width = self.max_name_len
if self.fcn_list:
list = self.fcn_list[:]
msg = " Ordered by: " + self.sort_type + '\n'
else:
list = self.stats.keys()
msg = " Random listing order was used\n"
for selection in sel_list:
list,msg = self.eval_print_amount(selection, list, msg)
count = len(list)
if not list:
return 0, list
print msg
if count < len(self.stats):
width = 0
for func in list:
if len(func_std_string(func)) > width:
width = len(func_std_string(func))
return width+2, list
def print_stats(self, *amount):
for filename in self.files:
print filename
if self.files: print
indent = " "
for func in self.top_level.keys():
print indent, func_get_function_name(func)
print indent, self.total_calls, "function calls",
if self.total_calls != self.prim_calls:
print "(" + `self.prim_calls`, "primitive calls)",
print "in", fpformat.fix(self.total_tt, 3), "CPU seconds"
print
width, list = self.get_print_list(amount)
if list:
self.print_title()
for func in list:
self.print_line(func)
print
print
return self
def print_callees(self, *amount):
width, list = self.get_print_list(amount)
if list:
self.calc_callees()
self.print_call_heading(width, "called...")
for func in list:
if self.all_callees.has_key(func):
self.print_call_line(width, \
func, self.all_callees[func])
else:
self.print_call_line(width, func, {})
print
print
return self
def print_callers(self, *amount):
width, list = self.get_print_list(amount)
if list:
self.print_call_heading(width, "was called by...")
for func in list:
cc, nc, tt, ct, callers = self.stats[func]
self.print_call_line(width, func, callers)
print
print
return self
def print_call_heading(self, name_size, column_title):
print string.ljust("Function ", name_size) + column_title
def print_call_line(self, name_size, source, call_dict):
print string.ljust(func_std_string(source), name_size),
if not call_dict:
print "--"
return
clist = call_dict.keys()
clist.sort()
name_size = name_size + 1
indent = ""
for func in clist:
name = func_std_string(func)
print indent*name_size + name + '(' \
+ `call_dict[func]`+')', \
f8(self.stats[func][3])
indent = " "
def print_title(self):
print string.rjust('ncalls', 9),
print string.rjust('tottime', 8),
print string.rjust('percall', 8),
print string.rjust('cumtime', 8),
print string.rjust('percall', 8),
print 'filename:lineno(function)'
def print_line(self, func): # hack : should print percentages
cc, nc, tt, ct, callers = self.stats[func]
c = `nc`
if nc != cc:
c = c + '/' + `cc`
print string.rjust(c, 9),
print f8(tt),
if nc == 0:
print ' '*8,
else:
print f8(tt/nc),
print f8(ct),
if cc == 0:
print ' '*8,
else:
print f8(ct/cc),
print func_std_string(func)
def ignore(self):
pass # has no return value, so use at end of line :-)
#**************************************************************************
# class TupleComp Documentation
#**************************************************************************
# This class provides a generic function for comparing any two tuples.
# Each instance records a list of tuple-indicies (from most significant
# to least significant), and sort direction (ascending or decending) for
# each tuple-index. The compare functions can then be used as the function
# argument to the system sort() function when a list of tuples need to be
# sorted in the instances order.
#**************************************************************************
class TupleComp:
def __init__(self, comp_select_list):
self.comp_select_list = comp_select_list
def compare (self, left, right):
for index, direction in self.comp_select_list:
l = left[index]
r = right[index]
if l < r:
return -direction
if l > r:
return direction
return 0
#**************************************************************************
def func_strip_path(func_name):
file, line, name = func_name
return os.path.basename(file), line, name
def func_get_function_name(func):
return func[2]
def func_std_string(func_name): # match what old profile produced
file, line, name = func_name
return file + ":" + `line` + "(" + name + ")"
def func_split(func_name):
return func_name
#**************************************************************************
# The following functions combine statists for pairs functions.
# The bulk of the processing involves correctly handling "call" lists,
# such as callers and callees.
#**************************************************************************
# Add together all the stats for two profile entries
def add_func_stats(target, source):
cc, nc, tt, ct, callers = source
t_cc, t_nc, t_tt, t_ct, t_callers = target
return (cc+t_cc, nc+t_nc, tt+t_tt, ct+t_ct, \
add_callers(t_callers, callers))
# Combine two caller lists in a single list.
def add_callers(target, source):
new_callers = {}
for func in target.keys():
new_callers[func] = target[func]
for func in source.keys():
if new_callers.has_key(func):
new_callers[func] = source[func] + new_callers[func]
else:
new_callers[func] = source[func]
return new_callers
# Sum the caller statistics to get total number of calls recieved
def count_calls(callers):
nc = 0
for func in callers.keys():
nc = nc + callers[func]
return nc
#**************************************************************************
# The following functions support printing of reports
#**************************************************************************
def f8(x):
return string.rjust(fpformat.fix(x, 3), 8)
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