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