Source code for PyFunceble.utils.profile

# pylint: disable=invalid-name
"""
The tool to check the availability or syntax of domain, IP or URL.

::


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Provides some global utilities.

Author:
    Nissar Chababy, @funilrys, contactTATAfunilrysTODTODcom

Special thanks:
    https://pyfunceble.github.io/#/special-thanks

Contributors:
    https://pyfunceble.github.io/#/contributors

Project link:
    https://github.com/funilrys/PyFunceble

Project documentation:
    https://pyfunceble.readthedocs.io/en/latest/

Project homepage:
    https://pyfunceble.github.io/

License:
::


    Copyright 2017, 2018, 2019, 2020, 2021 Nissar Chababy

    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.
    You may obtain a copy of the License at

        http://www.apache.org/licenses/LICENSE-2.0

    Unless required by applicable law or agreed to in writing, software
    distributed under the License is distributed on an "AS IS" BASIS,
    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    See the License for the specific language governing permissions and
    limitations under the License.
"""

import contextlib
import cProfile
import io
import linecache
import pstats
import tracemalloc


[docs]@contextlib.contextmanager def profile_it(*, sort_stats: str = "cumulative", show_callers: bool = False): """ Provides a context manager which will activates the profiling of our source code. :param sort_starts: The column to sort. :param show_callers: Authorizes the output of the callers. """ profiler = cProfile.Profile() profiler.enable() yield profiler.disable() our_stream = io.StringIO() profiler_starts = pstats.Stats(profiler, stream=our_stream) if sort_stats: profiler_starts.sort_stats(sort_stats) profiler_starts.print_stats() if show_callers: profiler_starts.print_callees() print(our_stream.getvalue())
[docs]@contextlib.contextmanager def profile_memory(stats_mode: str = "lineno", top_limit: int = 10): """ Provides a context manager which will activates memory profiling of our source code. """ tracemalloc.start() yield snapshot = tracemalloc.take_snapshot() snapshot = snapshot.filter_traces( ( tracemalloc.Filter(False, "<frozen importlib._bootstrap>"), tracemalloc.Filter(False, "<unknown>"), tracemalloc.Filter(False, "<frozen importlib._bootstrap_external>"), ) ) top_stats = snapshot.statistics(stats_mode) print("Top %s lines" % top_limit) for index, stat in enumerate(top_stats[:top_limit], 1): frame = stat.traceback[0] print( "#%s: %s:%s: %.1f KiB" % (index, frame.filename, frame.lineno, stat.size / 1024) ) line = linecache.getline(frame.filename, frame.lineno).strip() if line: print(" %s" % line) other = top_stats[top_limit:] if other: size = sum(stat.size for stat in other) print("%s other: %.1f KiB" % (len(other), size / 1024)) total = sum(stat.size for stat in top_stats) print("Total allocated size: %.1f KiB" % (total / 1024))