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# Copyright (c) 2018 gevent community
# Copyright (c) 2021 greenlet community
#
# This was originally part of gevent's test suite. The main author
# (Jason Madden) vendored a copy of it into greenlet.
#
# 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.
from __future__ import print_function
import os
import sys
import gc
from functools import wraps
import unittest
import objgraph
# graphviz 0.18 (Nov 7 2021), available only on Python 3.6 and newer,
# has added type hints (sigh). It wants to use ``typing.Literal`` for
# some stuff, but that's only available on Python 3.9+. If that's not
# found, it creates a ``unittest.mock.MagicMock`` object and annotates
# with that. These are GC'able objects, and doing almost *anything*
# with them results in an explosion of objects. For example, trying to
# compare them for equality creates new objects. This causes our
# leakchecks to fail, with reports like:
#
# greenlet.tests.leakcheck.LeakCheckError: refcount increased by [337, 1333, 343, 430, 530, 643, 769]
# _Call 1820 +546
# dict 4094 +76
# MagicProxy 585 +73
# tuple 2693 +66
# _CallList 24 +3
# weakref 1441 +1
# function 5996 +1
# type 736 +1
# cell 592 +1
# MagicMock 8 +1
#
# To avoid this, we *could* filter this type of object out early. In
# principle it could leak, but we don't use mocks in greenlet, so it
# doesn't leak from us. However, a further issue is that ``MagicMock``
# objects have subobjects that are also GC'able, like ``_Call``, and
# those create new mocks of their own too. So we'd have to filter them
# as well, and they're not public. That's OK, we can workaround the
# problem by being very careful to never compare by equality or other
# user-defined operators, only using object identity or other builtin
# functions.
RUNNING_ON_GITHUB_ACTIONS = os.environ.get('GITHUB_ACTIONS')
RUNNING_ON_TRAVIS = os.environ.get('TRAVIS') or RUNNING_ON_GITHUB_ACTIONS
RUNNING_ON_APPVEYOR = os.environ.get('APPVEYOR')
RUNNING_ON_CI = RUNNING_ON_TRAVIS or RUNNING_ON_APPVEYOR
RUNNING_ON_MANYLINUX = os.environ.get('GREENLET_MANYLINUX')
SKIP_LEAKCHECKS = RUNNING_ON_MANYLINUX or os.environ.get('GREENLET_SKIP_LEAKCHECKS')
SKIP_FAILING_LEAKCHECKS = os.environ.get('GREENLET_SKIP_FAILING_LEAKCHECKS')
ONLY_FAILING_LEAKCHECKS = os.environ.get('GREENLET_ONLY_FAILING_LEAKCHECKS')
def ignores_leakcheck(func):
"""
Ignore the given object during leakchecks.
Can be applied to a method, in which case the method will run, but
will not be subject to leak checks.
If applied to a class, the entire class will be skipped during leakchecks. This
is intended to be used for classes that are very slow and cause problems such as
test timeouts; typically it will be used for classes that are subclasses of a base
class and specify variants of behaviour (such as pool sizes).
"""
func.ignore_leakcheck = True
return func
def fails_leakcheck(func):
"""
Mark that the function is known to leak.
"""
func.fails_leakcheck = True
if SKIP_FAILING_LEAKCHECKS:
func = unittest.skip("Skipping known failures")(func)
return func
class LeakCheckError(AssertionError):
pass
if hasattr(sys, 'getobjects'):
# In a Python build with ``--with-trace-refs``, make objgraph
# trace *all* the objects, not just those that are tracked by the
# GC
class _MockGC(object):
def get_objects(self):
return sys.getobjects(0) # pylint:disable=no-member
def __getattr__(self, name):
return getattr(gc, name)
objgraph.gc = _MockGC()
fails_strict_leakcheck = fails_leakcheck
else:
def fails_strict_leakcheck(func):
"""
Decorator for a function that is known to fail when running
strict (``sys.getobjects()``) leakchecks.
This type of leakcheck finds all objects, even those, such as
strings, which are not tracked by the garbage collector.
"""
return func
class ignores_types_in_strict_leakcheck(object):
def __init__(self, types):
self.types = types
def __call__(self, func):
func.leakcheck_ignore_types = self.types
return func
class _RefCountChecker(object):
# Some builtin things that we ignore
# XXX: Those things were ignored by gevent, but they're important here,
# presumably.
IGNORED_TYPES = () #(tuple, dict, types.FrameType, types.TracebackType)
def __init__(self, testcase, function):
self.testcase = testcase
self.function = function
self.deltas = []
self.peak_stats = {}
self.ignored_types = ()
# The very first time we are called, we have already been
# self.setUp() by the test runner, so we don't need to do it again.
self.needs_setUp = False
def _include_object_p(self, obj):
# pylint:disable=too-many-return-statements
#
# See the comment block at the top. We must be careful to
# avoid invoking user-defined operations.
if obj is self:
return False
kind = type(obj)
# ``self._include_object_p == obj`` returns NotImplemented
# for non-function objects, which causes the interpreter
# to try to reverse the order of arguments...which leads
# to the explosion of mock objects. We don't want that, so we implement
# the check manually.
if kind == type(self._include_object_p):
try:
# pylint:disable=not-callable
exact_method_equals = self._include_object_p.__eq__(obj)
except AttributeError:
# Python 2.7 methods may only have __cmp__, and that raises a
# TypeError for non-method arguments
# pylint:disable=no-member
exact_method_equals = self._include_object_p.__cmp__(obj) == 0
if exact_method_equals is not NotImplemented and exact_method_equals:
return False
# Similarly, we need to check identity in our __dict__ to avoid mock explosions.
for x in self.__dict__.values():
if obj is x:
return False
if kind in self.ignored_types or kind in self.IGNORED_TYPES:
return False
return True
def _growth(self):
return objgraph.growth(limit=None, peak_stats=self.peak_stats,
filter=self._include_object_p)
def _report_diff(self, growth):
if not growth:
return "<Unable to calculate growth>"
lines = []
width = max(len(name) for name, _, _ in growth)
for name, count, delta in growth:
lines.append('%-*s%9d %+9d' % (width, name, count, delta))
diff = '\n'.join(lines)
return diff
def _run_test(self, args, kwargs):
gc_enabled = gc.isenabled()
gc.disable()
if self.needs_setUp:
self.testcase.setUp()
self.testcase.skipTearDown = False
try:
self.function(self.testcase, *args, **kwargs)
finally:
self.testcase.tearDown()
self.testcase.doCleanups()
self.testcase.skipTearDown = True
self.needs_setUp = True
if gc_enabled:
gc.enable()
def _growth_after(self):
# Grab post snapshot
# pylint:disable=no-member
if 'urlparse' in sys.modules:
sys.modules['urlparse'].clear_cache()
if 'urllib.parse' in sys.modules:
sys.modules['urllib.parse'].clear_cache()
return self._growth()
def _check_deltas(self, growth):
# Return false when we have decided there is no leak,
# true if we should keep looping, raises an assertion
# if we have decided there is a leak.
deltas = self.deltas
if not deltas:
# We haven't run yet, no data, keep looping
return True
if gc.garbage:
raise LeakCheckError("Generated uncollectable garbage %r" % (gc.garbage,))
# the following configurations are classified as "no leak"
# [0, 0]
# [x, 0, 0]
# [... a, b, c, d] where a+b+c+d = 0
#
# the following configurations are classified as "leak"
# [... z, z, z] where z > 0
if deltas[-2:] == [0, 0] and len(deltas) in (2, 3):
return False
if deltas[-3:] == [0, 0, 0]:
return False
if len(deltas) >= 4 and sum(deltas[-4:]) == 0:
return False
if len(deltas) >= 3 and deltas[-1] > 0 and deltas[-1] == deltas[-2] and deltas[-2] == deltas[-3]:
diff = self._report_diff(growth)
raise LeakCheckError('refcount increased by %r\n%s' % (deltas, diff))
# OK, we don't know for sure yet. Let's search for more
if sum(deltas[-3:]) <= 0 or sum(deltas[-4:]) <= 0 or deltas[-4:].count(0) >= 2:
# this is suspicious, so give a few more runs
limit = 11
else:
limit = 7
if len(deltas) >= limit:
raise LeakCheckError('refcount increased by %r\n%s'
% (deltas,
self._report_diff(growth)))
# We couldn't decide yet, keep going
return True
def __call__(self, args, kwargs):
for _ in range(3):
gc.collect()
expect_failure = getattr(self.function, 'fails_leakcheck', False)
if expect_failure:
self.testcase.expect_greenlet_leak = True
self.ignored_types = getattr(self.function, "leakcheck_ignore_types", ())
# Capture state before; the incremental will be
# updated by each call to _growth_after
growth = self._growth()
try:
while self._check_deltas(growth):
self._run_test(args, kwargs)
growth = self._growth_after()
self.deltas.append(sum((stat[2] for stat in growth)))
except LeakCheckError:
if not expect_failure:
raise
else:
if expect_failure:
raise LeakCheckError("Expected %s to leak but it did not." % (self.function,))
def wrap_refcount(method):
if getattr(method, 'ignore_leakcheck', False) or SKIP_LEAKCHECKS:
return method
@wraps(method)
def wrapper(self, *args, **kwargs): # pylint:disable=too-many-branches
if getattr(self, 'ignore_leakcheck', False):
raise unittest.SkipTest("This class ignored during leakchecks")
if ONLY_FAILING_LEAKCHECKS and not getattr(method, 'fails_leakcheck', False):
raise unittest.SkipTest("Only running tests that fail leakchecks.")
return _RefCountChecker(self, method)(args, kwargs)
return wrapper