/brz/remove-bazaar

# this is copied from the lsprof distro because somehow

# it is not installed by distutils

# I made one modification to profile so that it returns a pair

# instead of just the Stats object

from __future__ import absolute_import

import codecs

try:

    import cPickle as pickle

except ImportError:

    import pickle

import operator

import os

import sys

try:

    import _thread

except ImportError:

    import thread as _thread

import threading

from _lsprof import Profiler, profiler_entry

from . import errors

__all__ = ['profile', 'Stats']

def profile(f, *args, **kwds):

    """Run a function profile.

    Exceptions are not caught: If you need stats even when exceptions are to be

    raised, pass in a closure that will catch the exceptions and transform them

    appropriately for your driver function.

    Important caveat: only one profile can execute at a time. See BzrProfiler

    for details.

    :return: The functions return value and a stats object.

    """

    profiler = BzrProfiler()

    profiler.start()

    try:

        ret = f(*args, **kwds)

    finally:

        stats = profiler.stop()

    return ret, stats

class BzrProfiler(object):

    """Bzr utility wrapper around Profiler.

    For most uses the module level 'profile()' function will be suitable.

    However profiling when a simple wrapped function isn't available may

    be easier to accomplish using this class.

    To use it, create a BzrProfiler and call start() on it. Some arbitrary

    time later call stop() to stop profiling and retrieve the statistics

    from the code executed in the interim.

    Note that profiling involves a threading.Lock around the actual profiling.

    This is needed because profiling involves global manipulation of the python

    interpreter state. As such you cannot perform multiple profiles at once.

    Trying to do so will lock out the second profiler unless the global 

    breezy.lsprof.BzrProfiler.profiler_block is set to 0. Setting it to 0 will

    cause profiling to fail rather than blocking.

    """

    profiler_block = 1

    """Serialise rather than failing to profile concurrent profile requests."""

    profiler_lock = threading.Lock()

    """Global lock used to serialise profiles."""

    def start(self):

        """Start profiling.

        This hooks into threading and will record all calls made until

        stop() is called.

        """

        self._g_threadmap = {}

        self.p = Profiler()

        permitted = self.__class__.profiler_lock.acquire(

            self.__class__.profiler_block)

        if not permitted:

            raise errors.InternalBzrError(msg="Already profiling something")

        try:

            self.p.enable(subcalls=True)

            threading.setprofile(self._thread_profile)

        except:

            self.__class__.profiler_lock.release()

            raise

    def stop(self):

        """Stop profiling.

        This unhooks from threading and cleans up the profiler, returning

        the gathered Stats object.

        :return: A breezy.lsprof.Stats object.

        """

        try:

            self.p.disable()

            for pp in self._g_threadmap.values():

                pp.disable()

            threading.setprofile(None)

            p = self.p

            self.p = None

            threads = {}

            for tid, pp in self._g_threadmap.items():

                threads[tid] = Stats(pp.getstats(), {})

            self._g_threadmap = None

            return Stats(p.getstats(), threads)

        finally:

            self.__class__.profiler_lock.release()

    def _thread_profile(self, f, *args, **kwds):

        # we lose the first profile point for a new thread in order to

        # trampoline a new Profile object into place

        thr = _thread.get_ident()

        self._g_threadmap[thr] = p = Profiler()

        # this overrides our sys.setprofile hook:

        p.enable(subcalls=True, builtins=True)

class Stats(object):

    """Wrapper around the collected data.

    A Stats instance is created when the profiler finishes. Normal

    usage is to use save() to write out the data to a file, or pprint()

    to write human-readable information to the command line.

    """

    def __init__(self, data, threads):

        self.data = data

        self.threads = threads

    def sort(self, crit="inlinetime", reverse=True):

        """Sort the data by the supplied critera.

        :param crit: the data attribute used as the sort key."""

        if crit not in profiler_entry.__dict__ or crit == 'code':

            raise ValueError("Can't sort by %s" % crit)

        key_func = operator.attrgetter(crit)

        self.data.sort(key=key_func, reverse=reverse)

        for e in self.data:

            if e.calls:

                e.calls.sort(key=key_func, reverse=reverse)

    def pprint(self, top=None, file=None):

        """Pretty-print the data as plain text for human consumption.

        :param top: only output the top n entries.

            The default value of None means output all data.

        :param file: the output file; if None, output will

            default to stdout."""

        if file is None:

            file = sys.stdout

        d = self.data

        if top is not None:

            d = d[:top]

        cols = "% 12s %12s %11.4f %11.4f   %s\n"

        hcols = "% 12s %12s %12s %12s %s\n"

        cols2 = "+%12s %12s %11.4f %11.4f +  %s\n"

        file.write(hcols % ("CallCount", "Recursive", "Total(ms)",

                            "Inline(ms)", "module:lineno(function)"))

        for e in d:

            file.write(cols % (e.callcount, e.reccallcount, e.totaltime,

                               e.inlinetime, label(e.code)))

            if e.calls:

                for se in e.calls:

                    file.write(cols % ("+%s" % se.callcount, se.reccallcount,

                                       se.totaltime, se.inlinetime,

                                       "+%s" % label(se.code)))

    def freeze(self):

        """Replace all references to code objects with string

        descriptions; this makes it possible to pickle the instance."""

        # this code is probably rather ickier than it needs to be!

        for i in range(len(self.data)):

            e = self.data[i]

            if not isinstance(e.code, str):

                self.data[i] = type(e)((label(e.code),) + e[1:])

            if e.calls:

                for j in range(len(e.calls)):

                    se = e.calls[j]

                    if not isinstance(se.code, str):

                        e.calls[j] = type(se)((label(se.code),) + se[1:])

        for s in self.threads.values():

            s.freeze()

    def calltree(self, file):

        """Output profiling data in calltree format (for KCacheGrind)."""

        _CallTreeFilter(self.data).output(file)

    def save(self, filename, format=None):

        """Save profiling data to a file.

        :param filename: the name of the output file

        :param format: 'txt' for a text representation;

            'callgrind' for calltree format;

            otherwise a pickled Python object. A format of None indicates

            that the format to use is to be found from the filename. If

            the name starts with callgrind.out, callgrind format is used

            otherwise the format is given by the filename extension.

        """

        if format is None:

            basename = os.path.basename(filename)

            if basename.startswith('callgrind.out'):

                format = "callgrind"

            else:

                ext = os.path.splitext(filename)[1]

                if len(ext) > 1:

                    format = ext[1:]

        with open(filename, 'wb') as outfile:

            if format == "callgrind":

                # The callgrind format states it is 'ASCII based':

                # <http://valgrind.org/docs/manual/cl-format.html>

                # But includes filenames so lets ignore and use UTF-8.

                self.calltree(codecs.getwriter('utf-8')(outfile))

            elif format == "txt":

                self.pprint(file=codecs.getwriter('utf-8')(outfile))

            else:

                self.freeze()

                pickle.dump(self, outfile, 2)

class _CallTreeFilter(object):

    """Converter of a Stats object to input suitable for KCacheGrind.

    This code is taken from http://ddaa.net/blog/python/lsprof-calltree

    with the changes made by J.P. Calderone and Itamar applied. Note that

    isinstance(code, str) needs to be used at times to determine if the code

    object is actually an external code object (with a filename, etc.) or

    a Python built-in.

    """

    def __init__(self, data):

        self.data = data

        self.out_file = None

    def output(self, out_file):

        self.out_file = out_file

        out_file.write('events: Ticks\n')

        self._print_summary()

        for entry in self.data:

            self._entry(entry)

    def _print_summary(self):

        max_cost = 0

        for entry in self.data:

            totaltime = int(entry.totaltime * 1000)

            max_cost = max(max_cost, totaltime)

        self.out_file.write('summary: %d\n' % (max_cost,))

    def _entry(self, entry):

        out_file = self.out_file

        code = entry.code

        inlinetime = int(entry.inlinetime * 1000)

        #out_file.write('ob=%s\n' % (code.co_filename,))

        if isinstance(code, str):

            out_file.write('fi=~\n')

        else:

            out_file.write('fi=%s\n' % (code.co_filename,))

        out_file.write('fn=%s\n' % (label(code, True),))

        if isinstance(code, str):

            out_file.write('0  %s\n' % (inlinetime,))

        else:

            out_file.write('%d %d\n' % (code.co_firstlineno, inlinetime))

        # recursive calls are counted in entry.calls

        if entry.calls:

            calls = entry.calls

        else:

            calls = []

        if isinstance(code, str):

            lineno = 0

        else:

            lineno = code.co_firstlineno

        for subentry in calls:

            self._subentry(lineno, subentry)

        out_file.write('\n')

    def _subentry(self, lineno, subentry):

        out_file = self.out_file

        code = subentry.code

        totaltime = int(subentry.totaltime * 1000)

        #out_file.write('cob=%s\n' % (code.co_filename,))

        if isinstance(code, str):

            out_file.write('cfi=~\n')

            out_file.write('cfn=%s\n' % (label(code, True),))

            out_file.write('calls=%d 0\n' % (subentry.callcount,))

        else:

            out_file.write('cfi=%s\n' % (code.co_filename,))

            out_file.write('cfn=%s\n' % (label(code, True),))

            out_file.write('calls=%d %d\n' % (

                subentry.callcount, code.co_firstlineno))

        out_file.write('%d %d\n' % (lineno, totaltime))

_fn2mod = {}

def label(code, calltree=False):

    if isinstance(code, str):

        return code

    try:

        mname = _fn2mod[code.co_filename]

    except KeyError:

        for k, v in sys.modules.items():

            if v is None:

                continue

            if getattr(v, '__file__', None) is None:

                continue

            if not isinstance(v.__file__, str):

                continue

            if v.__file__.startswith(code.co_filename):

                mname = _fn2mod[code.co_filename] = k

                break

        else:

            mname = _fn2mod[code.co_filename] = '<%s>'%code.co_filename

    if calltree:

        return '%s %s:%d' % (code.co_name, mname, code.co_firstlineno)

    else:

        return '%s:%d(%s)' % (mname, code.co_firstlineno, code.co_name)

def main():

    sys.argv = sys.argv[1:]

    if not sys.argv:

        sys.stderr.write("usage: lsprof.py <script> <arguments...>\n")

        sys.exit(2)

    import runpy

    result, stats = profile(runpy.run_path, sys.argv[0], run_name='__main__')

    stats.sort()

    stats.pprint()

if __name__ == '__main__':

    main()