path: root/aergia

#!/usr/bin/env python3
'''
         _/_/                                  _/
      _/    _/    _/_/    _/  _/_/    _/_/_/        _/_/_/
     _/_/_/_/  _/_/_/_/  _/_/      _/    _/  _/  _/    _/
    _/    _/  _/        _/        _/    _/  _/  _/    _/
   _/    _/    _/_/_/  _/          _/_/_/  _/    _/_/_/
                                      _/
                                 _/_/
Copyright:

   This program 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, either version 3 of the License, or (at your
   option) any later version.

   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. If not, see
   <https://www.gnu.org/licenses/>.


Commentary:

   Aergia is a sampling based profiler based off of SCALENE
   by Emery Berger (https://github.com/plasma-umass/scalene).

   It is not particularly informative, but unlike SCALENE
   or other sampling-based profilers I could find, reports
   the wall-time each asyncio await call spends idling.

   The goal behind Aergia is to eventually have these features,
   or similar, merged into SCALENE.


Code:
'''

from collections import defaultdict
from types import FrameType
from typing import cast, List, Tuple
import argparse
import asyncio
import selectors
import signal
import sys
import threading
import time
import traceback


class ReplacementEpollSelector(selectors.EpollSelector):
    '''
    Provides a replacement for selectors.PollSelector that
    periodically wakes up to accept signals.
    '''

    def select(
        self, timeout=None
    ) -> List[Tuple[selectors.SelectorKey, int]]:
        start_time = time.perf_counter()
        if not timeout or timeout < 0:
            interval = sys.getswitchinterval()
        else:
            interval = min(timeout, sys.getswitchinterval())
        while True:
            selected = super().select(interval)
            if selected or timeout == 0 or not timeout:
                return selected
            end_time = time.perf_counter()
            if end_time - start_time >= timeout:
                return []


selectors.DefaultSelector = ReplacementEpollSelector


class Aergia(object):

    # a key-value pair where keys represent frame metadata (see
    # Aergia.frame_to_string) and values represent number of times
    # sampled.
    cpu_samples = defaultdict(lambda: 0)
    cpu_samples_c = defaultdict(lambda: 0)
    # number of times samples have been collected
    total_cpu_samples = 0

    # the time, in seconds, between samples
    signal_interval = 0.01
    # the timestamp recorded last signal
    last_signal_time = 0.0


    def __init__(self):
        signal.signal(signal.SIGPROF,
                      self.cpu_signal_handler)
        signal.setitimer(signal.ITIMER_PROF,
                         self.signal_interval,
                         self.signal_interval)

    @staticmethod
    def gettime():
        '''get the wallclock time'''
        return time.time()

    @staticmethod
    def start(profile_async):
        Aergia.last_signal_time = Aergia.gettime()

    @staticmethod
    def stop():
        '''Turn off profiling signals'''
        Aergia.disable_signals()
        Aergia.exit_handler()

    @staticmethod
    def exit_handler():
        '''Pretty-print profiling information.'''
        # If we've collected any samples, dump them.
        print("CPU usage (Python):")
        if Aergia.total_cpu_samples > 0:
            for key in Aergia.sort_samples(Aergia.cpu_samples):
                print(f"{key} : "
                      f"{Aergia.cpu_samples[key] * 100 / Aergia.total_cpu_samples:.3f} % "
                      f"({Aergia.cpu_samples[key]:.1f} total samples)")
            print("CPU usage (Native):")
            for key in Aergia.sort_samples(Aergia.cpu_samples_c):
                print(f"{key} : "
                      f"{Aergia.cpu_samples_c[key] * 100 / Aergia.total_cpu_samples:.3f} % "
                      f"({Aergia.cpu_samples_c[key]:.1f} total samples)")
        else:
            print("(Bug) The program did not run long enough to profile, or a one-time error occured.")

    @staticmethod
    def disable_signals():
        signal.signal(signal.ITIMER_PROF, signal.SIG_IGN)
        signal.signal(signal.SIGVTALRM, signal.SIG_IGN)
        signal.setitimer(signal.ITIMER_PROF, 0)

    @staticmethod
    def cpu_signal_handler(sig, frame):
        elapsed_since_last_signal = Aergia.gettime() - \
            Aergia.last_signal_time
        c_time_norm = (elapsed_since_last_signal -
                       Aergia.signal_interval) / \
            Aergia.signal_interval

        keys = Aergia.compute_frames_to_record()
        for key in keys:
            Aergia.cpu_samples[Aergia.frame_to_string(key)] += 1
            Aergia.cpu_samples_c[Aergia.frame_to_string(
                key)] += c_time_norm
            Aergia.total_cpu_samples += elapsed_since_last_signal / \
                Aergia.signal_interval
        Aergia.last_signal_time = Aergia.gettime()

    @staticmethod
    def compute_frames_to_record():
        '''Collects all stack frames that Aergia actually processes.'''
        if Aergia.is_event_loop_running():
            frames = [task.get_coro().cr_frame for task in asyncio.all_tasks()]

        # Process all the frames to remove ones we aren't going to track.
        new_frames = []
        for frame in frames:
            if frame is None:
                continue
            fname = frame.f_code.co_filename
            # Record samples only for files we care about.
            if (len(fname)) == 0:
                # 'eval/compile' gives no f_code.co_filename.  We have
                # to look back into the outer frame in order to check
                # the co_filename.
                fname = frame.f_back.f_code.co_filename
            while not Aergia.should_trace(fname):
                # Walk the stack backwards until we hit a frame that
                # IS one we should trace (if there is one).  i.e., if
                # it's in the code being profiled, and it is just
                # calling stuff deep in libraries.
                if frame:
                    frame = cast(FrameType, frame.f_back)
                else:
                    break
                if frame:
                    fname = frame.f_code.co_filename
            if frame:
                new_frames.append(frame)
        return new_frames

    @staticmethod
    def frame_to_string(frame):
        '''Pretty-prints a frame as a function/file name and a line number.
        Additionally used a key for tallying lines.'''
        co = frame.f_code
        func_name = co.co_name
        line_no = frame.f_lineno
        filename = co.co_filename
        return filename + '\t' + func_name + '\t' + str(line_no)

    @staticmethod
    def should_trace(filename):
        '''Returns FALSE if filename is uninteresting to the user.'''
        # FIXME Assume GuixSD. Makes filtering easy
        if 'site-packages' in filename:
            return False
        if filename[0] == '<':
            return False
        if 'aergia' in filename:
            return False
        return True

    @staticmethod
    def is_event_loop_running() -> bool:
        '''Returns TRUE if there is an exent loop running. This is what
        `asyncio.get_event_loop()' did, before it was deprecated in 3.12'''
        return asyncio.get_event_loop_policy()._local._loop is not None

    @staticmethod
    def sort_samples(sample_dict):
        '''Returns SAMPLE_DICT in descending order by number of samples.'''
        return {k: v for k, v in sorted(sample_dict.items(),
                                        key=lambda item: item[1],
                                        reverse=True)}

    @staticmethod
    def filter_duplicated_frames(frames) -> bool:
        s = set()
        dup = []
        for f in frames:
            if f in s:
                dup.append(f)
            else:
                s.add(f)
        # TODO we probably have one because given get_async_frames returns the
        # currently executing task. Would be an easy fix in that method.
        # if there's more than one, I cannot explain it.
        assert len(
            dup) < 2, f"ERROR: More than 1 duplicate frame (shouldn't happen): {dup}"
        if len(dup) != 0:
            print(f"WARN: Duplicate frame found: {dup}", file=sys.stderr)
        return list(s)


the_globals = {
    '__name__': '__main__',
    '__doc__': None,
    '__package__': None,
    '__loader__': globals()['__loader__'],
    '__spec__': None,
    '__annotations__': {},
    '__builtins__': globals()['__builtins__'],
    '__file__': None,
    '__cached__': None,
}


def parse_arguments():
    '''Parse CLI args'''
    parser = argparse.ArgumentParser(
        usage='%(prog)s [args] script [args]'
    )

    parser.add_argument('-a', '--async_off',
                        action='store_false',
                        help='Turn off experimental async profiling.',
                        default=True)

    parser.add_argument('-i', '--interval',
                        help='The minimum amount of time inbetween \
                        samples in seconds.',
                        metavar='',
                        default=0.01)
    parser.add_argument('script', help='A python script to run.')
    parser.add_argument('s_args', nargs=argparse.REMAINDER,
                        help='python script args')

    return parser.parse_args()


def main():
    args = parse_arguments()

    sys.argv = [args.script] + args.s_args
    try:
        with open(args.script, 'rb') as fp:
            code = compile(fp.read(), args.script, "exec")
            Aergia().start(args.async_off)
            exec(code, the_globals)
            Aergia().stop()
    except Exception:
        traceback.print_exc()


if __name__ == "__main__":
    main()