""" Profiling hooks This module contains a couple of decorators (`profile` and `coverage`) that can be used to wrap functions and/or methods to produce profiles and line coverage reports. There's a third convenient decorator (`timecall`) that measures the duration of function execution without the extra profiling overhead. Usage example:: from profilehooks import profile, coverage @profile # or @coverage def fn(n): if n < 2: return 1 else: return n * fn(n-1) print(fn(42)) Or without imports, with some hack $ python -m profilehooks yourmodule @profile # or @coverage def fn(n): if n < 2: return 1 else: return n * fn(n-1) print(fn(42)) Reports for all thusly decorated functions will be printed to sys.stdout on program termination. You can alternatively request for immediate reports for each call by passing immediate=True to the profile decorator. There's also a @timecall decorator for printing the time to sys.stderr every time a function is called, when you just want to get a rough measure instead of a detailed (but costly) profile. Caveats I don't know what will happen if a decorated function will try to call another decorated function. All decorators probably need to explicitly support nested profiling (currently TraceFuncCoverage is the only one that supports this.) Copyright (c) 2004--2023 Marius Gedminas <marius@gedmin.as> Copyright (c) 2007 Hanno Schlichting Copyright (c) 2008 Florian Schulze Released under the MIT licence since December 2006: Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. (Previously it was distributed under the GNU General Public Licence.) """ import atexit import dis import functools import inspect import logging import os import pstats import re import sys import timeit import token import tokenize import trace from profile import Profile # For cProfile profiling (best) try: import cProfile except ImportError: cProfile = None __author__ = "Marius Gedminas <marius@gedmin.as>" __copyright__ = "Copyright 2004-2020 Marius Gedminas and contributors" __license__ = "MIT" __version__ = '1.13.0.dev0' __date__ = "2023-12-18" # registry of available profilers AVAILABLE_PROFILERS = {} __all__ = ['coverage', 'profile', 'timecall'] def _identify(fn): fn = inspect.unwrap(fn) funcname = fn.__name__ filename = fn.__code__.co_filename lineno = fn.__code__.co_firstlineno return (funcname, filename, lineno) def _is_file_like(o): return hasattr(o, 'write') def profile(fn=None, skip=0, filename=None, immediate=False, dirs=False, sort=None, entries=40, profiler=('cProfile', 'profile'), stdout=True): """Mark `fn` for profiling. If `skip` is > 0, first `skip` calls to `fn` will not be profiled. If `stdout` is not file-like and truthy, output will be printed to sys.stdout. If it is a file-like object, output will be printed to it instead. `stdout` must be writable in text mode (as opposed to binary) if it is file-like. If `immediate` is False, profiling results will be printed to self.stdout on program termination. Otherwise results will be printed after each call. (If you don't want this, set stdout=False and specify a `filename` to store profile data.) If `dirs` is False only the name of the file will be printed. Otherwise the full path is used. `sort` can be a list of sort keys (defaulting to ['cumulative', 'time', 'calls']). The following ones are recognized:: 'calls' -- call count 'cumulative' -- cumulative time 'file' -- file name 'line' -- line number 'module' -- file name 'name' -- function name 'nfl' -- name/file/line 'pcalls' -- call count 'stdname' -- standard name 'time' -- internal time `entries` limits the output to the first N entries. `profiler` can be used to select the preferred profiler, or specify a sequence of them, in order of preference. The default is ('cProfile'. 'profile'). If `filename` is specified, the profile stats will be stored in the named file. You can load them with pstats.Stats(filename) or use a visualization tool like RunSnakeRun. Usage:: def fn(...): ... fn = profile(fn, skip=1) If you are using Python 2.4, you should be able to use the decorator syntax:: @profile(skip=3) def fn(...): ... or just :: @profile def fn(...): ... """ if fn is None: # @profile() syntax -- we are a decorator maker def decorator(fn): return profile(fn, skip=skip, filename=filename, immediate=immediate, dirs=dirs, sort=sort, entries=entries, profiler=profiler, stdout=stdout) return decorator # @profile syntax -- we are a decorator. if isinstance(profiler, str): profiler = [profiler] for p in profiler: if p in AVAILABLE_PROFILERS: profiler_class = AVAILABLE_PROFILERS[p] break else: raise ValueError('only these profilers are available: %s' % ', '.join(sorted(AVAILABLE_PROFILERS))) fp = profiler_class(fn, skip=skip, filename=filename, immediate=immediate, dirs=dirs, sort=sort, entries=entries, stdout=stdout) # We cannot return fp or fp.__call__ directly as that would break method # definitions, instead we need to return a plain function. @functools.wraps(fn) def new_fn(*args, **kw): return fp(*args, **kw) return new_fn def coverage(fn): """Mark `fn` for line coverage analysis. Results will be printed to sys.stdout on program termination. Usage:: def fn(...): ... fn = coverage(fn) If you are using Python 2.4, you should be able to use the decorator syntax:: @coverage def fn(...): ... """ fp = TraceFuncCoverage(fn) # We cannot return fp or fp.__call__ directly as that would break method # definitions, instead we need to return a plain function. @functools.wraps(fn) def new_fn(*args, **kw): return fp(*args, **kw) return new_fn class FuncProfile(object): """Profiler for a function (uses profile).""" # This flag is shared between all instances in_profiler = False Profile = Profile def __init__(self, fn, skip=0, filename=None, immediate=False, dirs=False, sort=None, entries=40, stdout=True): """Creates a profiler for a function. Every profiler has its own log file (the name of which is derived from the function name). FuncProfile registers an atexit handler that prints profiling information to sys.stderr when the program terminates. """ self.fn = fn self.skip = skip self.filename = filename self._immediate = immediate self.stdout = stdout self._stdout_is_fp = self.stdout and _is_file_like(self.stdout) self.dirs = dirs self.sort = sort or ('cumulative', 'time', 'calls') if isinstance(self.sort, str): self.sort = (self.sort, ) self.entries = entries self.reset_stats() if not self.immediate: atexit.register(self.atexit) @property def immediate(self): return self._immediate def __call__(self, *args, **kw): """Profile a singe call to the function.""" self.ncalls += 1 if self.skip > 0: self.skip -= 1 self.skipped += 1 return self.fn(*args, **kw) if FuncProfile.in_profiler: # handle recursive calls return self.fn(*args, **kw) # You cannot reuse the same profiler for many calls and accumulate # stats that way. :-/ profiler = self.Profile() try: FuncProfile.in_profiler = True return profiler.runcall(self.fn, *args, **kw) finally: FuncProfile.in_profiler = False self.stats.add(profiler) if self.immediate: self.print_stats() self.reset_stats() def print_stats(self): """Print profile information to sys.stdout.""" stats = self.stats if self.filename: stats.dump_stats(self.filename) if self.stdout: funcname, filename, lineno = _identify(self.fn) print_f = print if self._stdout_is_fp: print_f = functools.partial(print, file=self.stdout) print_f("") print_f("*** PROFILER RESULTS ***") print_f("%s (%s:%s)" % (funcname, filename, lineno)) if self.skipped: skipped = " (%d calls not profiled)" % self.skipped else: skipped = "" print_f("function called %d times%s" % (self.ncalls, skipped)) print_f("") if not self.dirs: stats.strip_dirs() stats.sort_stats(*self.sort) stats.print_stats(self.entries) def reset_stats(self): """Reset accumulated profiler statistics.""" # send stats printing to specified stdout if it's file-like stream = self.stdout if self._stdout_is_fp else sys.stdout # Note: not using self.Profile, since pstats.Stats() fails then self.stats = pstats.Stats(Profile(), stream=stream) self.ncalls = 0 self.skipped = 0 def atexit(self): """Stop profiling and print profile information to sys.stdout or self.stdout. This function is registered as an atexit hook. """ self.print_stats() AVAILABLE_PROFILERS['profile'] = FuncProfile if cProfile is not None: class CProfileFuncProfile(FuncProfile): """Profiler for a function (uses cProfile).""" Profile = cProfile.Profile AVAILABLE_PROFILERS['cProfile'] = CProfileFuncProfile class TraceFuncCoverage: """Coverage analysis for a function (uses trace module).""" # Shared between all instances so that nested calls work tracer = trace.Trace(count=True, trace=False, ignoredirs=[sys.prefix, sys.exec_prefix]) # This flag is also shared between all instances tracing = False def __init__(self, fn): """Creates a profiler for a function. Every profiler has its own log file (the name of which is derived from the function name). TraceFuncCoverage registers an atexit handler that prints profiling information to sys.stderr when the program terminates. The log file is not removed and remains there to clutter the current working directory. """ self.fn = fn self.logfilename = "%s.%d.cprof" % (fn.__name__, os.getpid()) self.ncalls = 0 atexit.register(self.atexit) def __call__(self, *args, **kw): """Profile a singe call to the function.""" self.ncalls += 1 if TraceFuncCoverage.tracing: # pragma: nocover return self.fn(*args, **kw) old_trace = sys.gettrace() try: TraceFuncCoverage.tracing = True return self.tracer.runfunc(self.fn, *args, **kw) finally: # pragma: nocover sys.settrace(old_trace) TraceFuncCoverage.tracing = False def atexit(self): """Stop profiling and print profile information to sys.stderr. This function is registered as an atexit hook. """ funcname, filename, lineno = _identify(self.fn) print("") print("*** COVERAGE RESULTS ***") print("%s (%s:%s)" % (funcname, filename, lineno)) print("function called %d times" % self.ncalls) print("") fs = FuncSource(self.fn) for (filename, lineno), count in self.tracer.counts.items(): if filename != fs.filename: continue fs.mark(lineno, count) print(fs) never_executed = fs.count_never_executed() if never_executed: print("%d lines were not executed." % never_executed) class FuncSource: """Source code annotator for a function.""" blank_rx = re.compile(r"^\s*finally:\s*(#.*)?$") def __init__(self, fn): self.fn = fn self.filename = inspect.getsourcefile(fn) self.sourcelines = {} self.source = [] self.firstlineno = self.firstcodelineno = 0 try: self.source, self.firstlineno = inspect.getsourcelines(fn) self.firstcodelineno = self.firstlineno self.find_source_lines() except IOError: self.filename = None def find_source_lines(self): """Mark all executable source lines in fn as executed 0 times.""" if self.filename is None: # pragma: nocover # I don't know how to make inspect.getsourcefile() return None in # our test suite, but I've looked at its source and I know that it # can do so. return strs = self._find_docstrings(self.filename) lines = { ln for off, ln in dis.findlinestarts(inspect.unwrap(self.fn).__code__) # skipping firstlineno because Python 3.11 adds a 'RESUME' opcode # attributed to the `def` line, but then trace.py never sees it # getting executed if ln is not None and ln not in strs and ln != self.firstlineno } for lineno in lines: self.sourcelines.setdefault(lineno, 0) if lines: self.firstcodelineno = min(lines) else: # pragma: nocover # This branch cannot be reached, I'm just being paranoid. self.firstcodelineno = self.firstlineno def _find_docstrings(self, filename): # A replacement for trace.find_strings() which was deprecated in # Python 3.2 and removed in 3.6. strs = set() prev = token.INDENT # so module docstring is detected as docstring with tokenize.open(filename) as f: tokens = tokenize.generate_tokens(f.readline) for ttype, tstr, start, end, line in tokens: if ttype == token.STRING and prev == token.INDENT: strs.update(range(start[0], end[0] + 1)) prev = ttype return strs def mark(self, lineno, count=1): """Mark a given source line as executed count times. Multiple calls to mark for the same lineno add up. """ self.sourcelines[lineno] = self.sourcelines.get(lineno, 0) + count def count_never_executed(self): """Count statements that were never executed.""" lineno = self.firstlineno counter = 0 for line in self.source: if self.sourcelines.get(lineno) == 0: if not self.blank_rx.match(line): counter += 1 lineno += 1 return counter def __str__(self): """Return annotated source code for the function.""" if self.filename is None: return "cannot show coverage data since co_filename is None" lines = [] lineno = self.firstlineno for line in self.source: counter = self.sourcelines.get(lineno) if counter is None: prefix = ' ' * 7 elif counter == 0: if self.blank_rx.match(line): # pragma: nocover # This is an workaround for an ancient bug I can't # reproduce, perhaps because it was fixed, or perhaps # because I can't remember all the details. prefix = ' ' * 7 else: prefix = '>' * 6 + ' ' else: prefix = '%5d: ' % counter lines.append(prefix + line) lineno += 1 return ''.join(lines) def timecall( fn=None, immediate=True, timer=None, log_name=None, log_level=logging.DEBUG, ): """Wrap `fn` and print its execution time. Example:: @timecall def somefunc(x, y): time.sleep(x * y) somefunc(2, 3) will print the time taken by somefunc on every call. If you want just a summary at program termination, use :: @timecall(immediate=False) You can also choose a timing method other than the default ``timeit.default_timer()``, e.g.:: @timecall(timer=time.clock) You can also log the output to a logger by specifying the name and level of the logger to use, eg: @timecall(immediate=True, log_name='profile_log', log_level=logging.DEBUG) """ if fn is None: # @timecall() syntax -- we are a decorator maker def decorator(fn): return timecall( fn, immediate=immediate, timer=timer, log_name=log_name, log_level=log_level, ) return decorator # @timecall syntax -- we are a decorator. if timer is None: timer = timeit.default_timer fp = FuncTimer( fn, immediate=immediate, timer=timer, log_name=log_name, log_level=log_level, ) # We cannot return fp or fp.__call__ directly as that would break method # definitions, instead we need to return a plain function. @functools.wraps(fn) def new_fn(*args, **kw): return fp(*args, **kw) return new_fn class FuncTimer(object): def __init__( self, fn, immediate, timer, log_name=None, log_level=logging.DEBUG, ): self.logger = None if log_name: self.logger = logging.getLogger(log_name) self.log_level = log_level self.fn = fn self.ncalls = 0 self.totaltime = 0 self.immediate = immediate self.timer = timer if not immediate: atexit.register(self.atexit) def __call__(self, *args, **kw): """Profile a singe call to the function.""" fn = self.fn timer = self.timer self.ncalls += 1 start = timer() try: return fn(*args, **kw) finally: duration = timer() - start self.totaltime += duration if self.immediate: funcname, filename, lineno = _identify(fn) message = "%s (%s:%s):\n %.3f seconds\n\n" % ( funcname, filename, lineno, duration, ) if self.logger: self.logger.log(self.log_level, message) else: sys.stderr.write("\n " + message) sys.stderr.flush() def atexit(self): if not self.ncalls: return funcname, filename, lineno = _identify(self.fn) message = "\n %s (%s:%s):\n"\ " %d calls, %.3f seconds (%.3f seconds per call)\n" % ( funcname, filename, lineno, self.ncalls, self.totaltime, self.totaltime / self.ncalls) if self.logger: self.logger.log(self.log_level, message) else: print(message) if __name__ == '__main__': local = dict((name, globals()[name]) for name in __all__) message = """******** Injected `profilehooks` -------- {} ******** """.format("\n".join(local.keys())) def interact_(): from code import interact interact(message, local=local) def run_(): from runpy import run_module print(message) run_module(sys.argv[1], init_globals=local) if len(sys.argv) == 1: interact_() else: run_()