MZC/KnowMathBot/backend/.venv/Lib/site-packages/sqlalchemy/testing/profiling.py

# testing/profiling.py
# Copyright (C) 2005-2026 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: https://www.opensource.org/licenses/mit-license.php
# mypy: ignore-errors


"""Profiling support for unit and performance tests.

These are special purpose profiling methods which operate
in a more fine-grained way than nose's profiling plugin.

"""

from __future__ import annotations

import collections
import contextlib
import os
import platform
import pstats
import re
import sys

from . import config
from .util import gc_collect
from ..util import freethreading
from ..util import has_compiled_ext


try:
    import cProfile
except ImportError:
    cProfile = None

_profile_stats = None
"""global ProfileStatsFileInstance.

plugin_base assigns this at the start of all tests.

"""


_current_test = None
"""String id of current test.

plugin_base assigns this at the start of each test using
_start_current_test.

"""


def _start_current_test(id_):
    global _current_test
    _current_test = id_

    if _profile_stats.force_write:
        _profile_stats.reset_count()


class ProfileStatsFile:
    """Store per-platform/fn profiling results in a file.

    There was no json module available when this was written, but now
    the file format which is very deterministically line oriented is kind of
    handy in any case for diffs and merges.

    """

    def __init__(self, filename, sort="cumulative", dump=None):
        self.force_write = (
            config.options is not None and config.options.force_write_profiles
        )
        self.write = self.force_write or (
            config.options is not None and config.options.write_profiles
        )
        self.fname = os.path.abspath(filename)
        self.short_fname = os.path.split(self.fname)[-1]
        self.data = collections.defaultdict(
            lambda: collections.defaultdict(dict)
        )
        self.dump = dump
        self.sort = sort
        self._read()
        if self.write:
            # rewrite for the case where features changed,
            # etc.
            self._write()

    @property
    def platform_key(self):
        dbapi_key = config.db.name + "_" + config.db.driver
        if config.db.dialect.is_async:
            dbapi_key += "_async"

        if config.db.name == "sqlite" and config.db.dialect._is_url_file_db(
            config.db.url
        ):
            dbapi_key += "_file"

        # keep it at 2.7, 3.1, 3.2, etc. for now.
        py_version = ".".join([str(v) for v in sys.version_info[0:2]])
        if freethreading:
            py_version += "t"

        platform_tokens = [
            platform.machine(),
            platform.system().lower(),
            platform.python_implementation().lower(),
            py_version,
            dbapi_key,
        ]

        platform_tokens.append("dbapiunicode")
        _has_cext = has_compiled_ext()
        platform_tokens.append(_has_cext and "cextensions" or "nocextensions")
        return "_".join(platform_tokens)

    def has_stats(self):
        test_key = _current_test
        return (
            test_key in self.data and self.platform_key in self.data[test_key]
        )

    def result(self, callcount):
        test_key = _current_test
        per_fn = self.data[test_key]
        per_platform = per_fn[self.platform_key]

        if "counts" not in per_platform:
            per_platform["counts"] = counts = []
        else:
            counts = per_platform["counts"]

        if "current_count" not in per_platform:
            per_platform["current_count"] = current_count = 0
        else:
            current_count = per_platform["current_count"]

        has_count = len(counts) > current_count

        if not has_count:
            counts.append(callcount)
            if self.write:
                self._write()
            result = None
        else:
            result = per_platform["lineno"], counts[current_count]
        per_platform["current_count"] += 1
        return result

    def reset_count(self):
        test_key = _current_test
        # since self.data is a defaultdict, don't access a key
        # if we don't know it's there first.
        if test_key not in self.data:
            return
        per_fn = self.data[test_key]
        if self.platform_key not in per_fn:
            return
        per_platform = per_fn[self.platform_key]
        if "counts" in per_platform:
            per_platform["counts"][:] = []

    def replace(self, callcount):
        test_key = _current_test
        per_fn = self.data[test_key]
        per_platform = per_fn[self.platform_key]
        counts = per_platform["counts"]
        current_count = per_platform["current_count"]
        if current_count < len(counts):
            counts[current_count - 1] = callcount
        else:
            counts[-1] = callcount
        if self.write:
            self._write()

    def _header(self):
        return (
            "# %s\n"
            "# This file is written out on a per-environment basis.\n"
            "# For each test in aaa_profiling, the corresponding "
            "function and \n"
            "# environment is located within this file.  "
            "If it doesn't exist,\n"
            "# the test is skipped.\n"
            "# If a callcount does exist, it is compared "
            "to what we received. \n"
            "# assertions are raised if the counts do not match.\n"
            "# \n"
            "# To add a new callcount test, apply the function_call_count \n"
            "# decorator and re-run the tests using the --write-profiles \n"
            "# option - this file will be rewritten including the new count.\n"
            "# \n"
        ) % (self.fname)

    def _read(self):
        try:
            profile_f = open(self.fname)
        except OSError:
            return
        for lineno, line in enumerate(profile_f):
            line = line.strip()
            if not line or line.startswith("#"):
                continue

            test_key, platform_key, counts = line.split()
            per_fn = self.data[test_key]
            per_platform = per_fn[platform_key]
            c = [int(count) for count in counts.split(",")]
            per_platform["counts"] = c
            per_platform["lineno"] = lineno + 1
            per_platform["current_count"] = 0
        profile_f.close()

    def _write(self):
        print("Writing profile file %s" % self.fname)
        profile_f = open(self.fname, "w")
        profile_f.write(self._header())
        for test_key in sorted(self.data):
            per_fn = self.data[test_key]
            profile_f.write("\n# TEST: %s\n\n" % test_key)
            for platform_key in sorted(per_fn):
                per_platform = per_fn[platform_key]
                c = ",".join(str(count) for count in per_platform["counts"])
                profile_f.write("%s %s %s\n" % (test_key, platform_key, c))
        profile_f.close()


def function_call_count(variance=0.05, times=1, warmup=0):
    """Assert a target for a test case's function call count.

    The main purpose of this assertion is to detect changes in
    callcounts for various functions - the actual number is not as important.
    Callcounts are stored in a file keyed to Python version and OS platform
    information.  This file is generated automatically for new tests,
    and versioned so that unexpected changes in callcounts will be detected.

    """

    # use signature-rewriting decorator function so that pytest fixtures
    # still work on py27.  In Py3, update_wrapper() alone is good enough,
    # likely due to the introduction of __signature__.

    from sqlalchemy.util import decorator

    @decorator
    def wrap(fn, *args, **kw):
        for warm in range(warmup):
            fn(*args, **kw)

        timerange = range(times)
        with count_functions(variance=variance):
            for time in timerange:
                rv = fn(*args, **kw)
            return rv

    return wrap


@contextlib.contextmanager
def count_functions(variance=0.05):
    if cProfile is None:
        raise config._skip_test_exception("cProfile is not installed")

    if not _profile_stats.has_stats() and not _profile_stats.write:
        config.skip_test(
            "No profiling stats available on this "
            "platform for this function.  Run tests with "
            "--write-profiles to add statistics to %s for "
            "this platform." % _profile_stats.short_fname
        )

    gc_collect()

    pr = cProfile.Profile()
    pr.enable()
    # began = time.time()
    yield
    # ended = time.time()
    pr.disable()

    # s = StringIO()
    stats = pstats.Stats(pr, stream=sys.stdout)

    # timespent = ended - began
    callcount = stats.total_calls

    expected = _profile_stats.result(callcount)

    if expected is None:
        expected_count = None
    else:
        line_no, expected_count = expected

    print("Pstats calls: %d Expected %s" % (callcount, expected_count))
    stats.sort_stats(*re.split(r"[, ]", _profile_stats.sort))
    stats.print_stats()
    if _profile_stats.dump:
        base, ext = os.path.splitext(_profile_stats.dump)
        test_name = _current_test.split(".")[-1]
        dumpfile = "%s_%s%s" % (base, test_name, ext or ".profile")
        stats.dump_stats(dumpfile)
        print("Dumped stats to file %s" % dumpfile)
    # stats.print_callers()
    if _profile_stats.force_write:
        _profile_stats.replace(callcount)
    elif expected_count:
        deviance = int(callcount * variance)
        failed = abs(callcount - expected_count) > deviance

        if failed:
            if _profile_stats.write:
                _profile_stats.replace(callcount)
            else:
                raise AssertionError(
                    "Adjusted function call count %s not within %s%% "
                    "of expected %s, platform %s. Rerun with "
                    "--write-profiles to "
                    "regenerate this callcount."
                    % (
                        callcount,
                        (variance * 100),
                        expected_count,
                        _profile_stats.platform_key,
                    )
                )