Merge pull request #959 from nicoddemus/vendor-pluggy

Vendor pluggy
This commit is contained in:
Ronny Pfannschmidt 2015-09-14 18:37:52 +02:00
commit c5bf148ed7
18 changed files with 867 additions and 8 deletions

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@ -4,3 +4,4 @@ omit =
*standalonetemplate.py
# oldinterpret could be removed, as it is no longer used in py26+
*oldinterpret.py
vendored_packages

11
_pytest/_pluggy.py Normal file
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@ -0,0 +1,11 @@
"""
imports symbols from vendored "pluggy" if available, otherwise
falls back to importing "pluggy" from the default namespace.
"""
try:
from _pytest.vendored_packages.pluggy import * # noqa
from _pytest.vendored_packages.pluggy import __version__ # noqa
except ImportError:
from pluggy import * # noqa
from pluggy import __version__ # noqa

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@ -9,7 +9,7 @@ import py
# DON't import pytest here because it causes import cycle troubles
import sys, os
import _pytest.hookspec # the extension point definitions
from pluggy import PluginManager, HookimplMarker, HookspecMarker
from _pytest._pluggy import PluginManager, HookimplMarker, HookspecMarker
hookimpl = HookimplMarker("pytest")
hookspec = HookspecMarker("pytest")

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@ -79,7 +79,7 @@ def pytest_cmdline_main(config):
tw = _pytest.config.create_terminal_writer(config)
tw.line("WARNING: usage of genscript is deprecated.",
red=True)
deps = ['py', 'pluggy', '_pytest', 'pytest']
deps = ['py', '_pytest', 'pytest'] # pluggy is vendored
if sys.version_info < (2,7):
deps.append("argparse")
tw.line("generated script will run on python2.6-python3.3++")

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@ -1,6 +1,6 @@
""" hook specifications for pytest plugins, invoked from main.py and builtin plugins. """
from pluggy import HookspecMarker
from _pytest._pluggy import HookspecMarker
hookspec = HookspecMarker("pytest")

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@ -16,7 +16,7 @@ except ImportError: # pragma: no cover
enum = None
import _pytest
import pluggy
import _pytest._pluggy as pluggy
cutdir2 = py.path.local(_pytest.__file__).dirpath()
cutdir1 = py.path.local(pluggy.__file__.rstrip("oc"))

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@ -5,12 +5,13 @@ This is a good source for looking at the various reporting hooks.
from _pytest.main import EXIT_OK, EXIT_TESTSFAILED, EXIT_INTERRUPTED, \
EXIT_USAGEERROR, EXIT_NOTESTSCOLLECTED
import pytest
import pluggy
import py
import sys
import time
import platform
import _pytest._pluggy as pluggy
def pytest_addoption(parser):
group = parser.getgroup("terminal reporting", "reporting", after="general")

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@ -0,0 +1,13 @@
This directory vendors the `pluggy` module.
For a more detailed discussion for the reasons to vendoring this
package, please see [this issue](https://github.com/pytest-dev/pytest/issues/944).
To update the current version, execute:
```
$ pip install pluggy==<version> --no-compile --target=_pytest/vendored_packages
```
And commit the modified files. The `pluggy-<version>.dist-info` directory
created by `pip` should be ignored.

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@ -0,0 +1,10 @@
Plugin registration and hook calling for Python
===============================================
This is the plugin manager as used by pytest but stripped
of pytest specific details.
During the 0.x series this plugin does not have much documentation
except extensive docstrings in the pluggy.py module.

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@ -0,0 +1,38 @@
Metadata-Version: 2.0
Name: pluggy
Version: 0.3.0
Summary: plugin and hook calling mechanisms for python
Home-page: UNKNOWN
Author: Holger Krekel
Author-email: holger at merlinux.eu
License: MIT license
Platform: unix
Platform: linux
Platform: osx
Platform: win32
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Topic :: Software Development :: Testing
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Utilities
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Plugin registration and hook calling for Python
===============================================
This is the plugin manager as used by pytest but stripped
of pytest specific details.
During the 0.x series this plugin does not have much documentation
except extensive docstrings in the pluggy.py module.

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@ -0,0 +1,7 @@
pluggy.py,sha256=Y_aZC2eNi0zEaaGPDF5d7S_w-2KbvsvvmcykfWB-NQ0,29671
pluggy-0.3.0.dist-info/top_level.txt,sha256=xKSCRhai-v9MckvMuWqNz16c1tbsmOggoMSwTgcpYHE,7
pluggy-0.3.0.dist-info/RECORD,,
pluggy-0.3.0.dist-info/metadata.json,sha256=y8dkBTPYLTWwqPj12oWV0MriJ21FhCY0e185EhiAkeg,988
pluggy-0.3.0.dist-info/METADATA,sha256=i1WR19wl6r2qWC7YGnfiHzTlhmYmKuidTT5FobM0ctU,1286
pluggy-0.3.0.dist-info/WHEEL,sha256=AvR0WeTpDaxT645bl5FQxUK6NPsTls2ttpcGJg3j1Xg,110
pluggy-0.3.0.dist-info/DESCRIPTION.rst,sha256=P5Akh1EdIBR6CeqtV2P8ZwpGSpZiTKPw0NyS7jEiD-g,306

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@ -0,0 +1,6 @@
Wheel-Version: 1.0
Generator: bdist_wheel (0.24.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

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@ -0,0 +1 @@
{"license": "MIT license", "name": "pluggy", "metadata_version": "2.0", "generator": "bdist_wheel (0.24.0)", "summary": "plugin and hook calling mechanisms for python", "platform": "unix", "version": "0.3.0", "extensions": {"python.details": {"document_names": {"description": "DESCRIPTION.rst"}, "contacts": [{"role": "author", "email": "holger at merlinux.eu", "name": "Holger Krekel"}]}}, "classifiers": ["Development Status :: 3 - Alpha ", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: POSIX", "Operating System :: Microsoft :: Windows", "Operating System :: MacOS :: MacOS X", "Topic :: Software Development :: Testing", "Topic :: Software Development :: Libraries", "Topic :: Utilities", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4"]}

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@ -0,0 +1 @@
pluggy

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@ -0,0 +1,770 @@
"""
PluginManager, basic initialization and tracing.
pluggy is the cristallized core of plugin management as used
by some 150 plugins for pytest.
Pluggy uses semantic versioning. Breaking changes are only foreseen for
Major releases (incremented X in "X.Y.Z"). If you want to use pluggy in
your project you should thus use a dependency restriction like
"pluggy>=0.1.0,<1.0" to avoid surprises.
pluggy is concerned with hook specification, hook implementations and hook
calling. For any given hook specification a hook call invokes up to N implementations.
A hook implementation can influence its position and type of execution:
if attributed "tryfirst" or "trylast" it will be tried to execute
first or last. However, if attributed "hookwrapper" an implementation
can wrap all calls to non-hookwrapper implementations. A hookwrapper
can thus execute some code ahead and after the execution of other hooks.
Hook specification is done by way of a regular python function where
both the function name and the names of all its arguments are significant.
Each hook implementation function is verified against the original specification
function, including the names of all its arguments. To allow for hook specifications
to evolve over the livetime of a project, hook implementations can
accept less arguments. One can thus add new arguments and semantics to
a hook specification by adding another argument typically without breaking
existing hook implementations.
The chosen approach is meant to let a hook designer think carefuly about
which objects are needed by an extension writer. By contrast, subclass-based
extension mechanisms often expose a lot more state and behaviour than needed,
thus restricting future developments.
Pluggy currently consists of functionality for:
- a way to register new hook specifications. Without a hook
specification no hook calling can be performed.
- a registry of plugins which contain hook implementation functions. It
is possible to register plugins for which a hook specification is not yet
known and validate all hooks when the system is in a more referentially
consistent state. Setting an "optionalhook" attribution to a hook
implementation will avoid PluginValidationError's if a specifcation
is missing. This allows to have optional integration between plugins.
- a "hook" relay object from which you can launch 1:N calls to
registered hook implementation functions
- a mechanism for ordering hook implementation functions
- mechanisms for two different type of 1:N calls: "firstresult" for when
the call should stop when the first implementation returns a non-None result.
And the other (default) way of guaranteeing that all hook implementations
will be called and their non-None result collected.
- mechanisms for "historic" extension points such that all newly
registered functions will receive all hook calls that happened
before their registration.
- a mechanism for discovering plugin objects which are based on
setuptools based entry points.
- a simple tracing mechanism, including tracing of plugin calls and
their arguments.
"""
import sys
import inspect
__version__ = '0.3.0'
__all__ = ["PluginManager", "PluginValidationError",
"HookspecMarker", "HookimplMarker"]
_py3 = sys.version_info > (3, 0)
class HookspecMarker:
""" Decorator helper class for marking functions as hook specifications.
You can instantiate it with a project_name to get a decorator.
Calling PluginManager.add_hookspecs later will discover all marked functions
if the PluginManager uses the same project_name.
"""
def __init__(self, project_name):
self.project_name = project_name
def __call__(self, function=None, firstresult=False, historic=False):
""" if passed a function, directly sets attributes on the function
which will make it discoverable to add_hookspecs(). If passed no
function, returns a decorator which can be applied to a function
later using the attributes supplied.
If firstresult is True the 1:N hook call (N being the number of registered
hook implementation functions) will stop at I<=N when the I'th function
returns a non-None result.
If historic is True calls to a hook will be memorized and replayed
on later registered plugins.
"""
def setattr_hookspec_opts(func):
if historic and firstresult:
raise ValueError("cannot have a historic firstresult hook")
setattr(func, self.project_name + "_spec",
dict(firstresult=firstresult, historic=historic))
return func
if function is not None:
return setattr_hookspec_opts(function)
else:
return setattr_hookspec_opts
class HookimplMarker:
""" Decorator helper class for marking functions as hook implementations.
You can instantiate with a project_name to get a decorator.
Calling PluginManager.register later will discover all marked functions
if the PluginManager uses the same project_name.
"""
def __init__(self, project_name):
self.project_name = project_name
def __call__(self, function=None, hookwrapper=False, optionalhook=False,
tryfirst=False, trylast=False):
""" if passed a function, directly sets attributes on the function
which will make it discoverable to register(). If passed no function,
returns a decorator which can be applied to a function later using
the attributes supplied.
If optionalhook is True a missing matching hook specification will not result
in an error (by default it is an error if no matching spec is found).
If tryfirst is True this hook implementation will run as early as possible
in the chain of N hook implementations for a specfication.
If trylast is True this hook implementation will run as late as possible
in the chain of N hook implementations.
If hookwrapper is True the hook implementations needs to execute exactly
one "yield". The code before the yield is run early before any non-hookwrapper
function is run. The code after the yield is run after all non-hookwrapper
function have run. The yield receives an ``_CallOutcome`` object representing
the exception or result outcome of the inner calls (including other hookwrapper
calls).
"""
def setattr_hookimpl_opts(func):
setattr(func, self.project_name + "_impl",
dict(hookwrapper=hookwrapper, optionalhook=optionalhook,
tryfirst=tryfirst, trylast=trylast))
return func
if function is None:
return setattr_hookimpl_opts
else:
return setattr_hookimpl_opts(function)
def normalize_hookimpl_opts(opts):
opts.setdefault("tryfirst", False)
opts.setdefault("trylast", False)
opts.setdefault("hookwrapper", False)
opts.setdefault("optionalhook", False)
class _TagTracer:
def __init__(self):
self._tag2proc = {}
self.writer = None
self.indent = 0
def get(self, name):
return _TagTracerSub(self, (name,))
def format_message(self, tags, args):
if isinstance(args[-1], dict):
extra = args[-1]
args = args[:-1]
else:
extra = {}
content = " ".join(map(str, args))
indent = " " * self.indent
lines = [
"%s%s [%s]\n" % (indent, content, ":".join(tags))
]
for name, value in extra.items():
lines.append("%s %s: %s\n" % (indent, name, value))
return lines
def processmessage(self, tags, args):
if self.writer is not None and args:
lines = self.format_message(tags, args)
self.writer(''.join(lines))
try:
self._tag2proc[tags](tags, args)
except KeyError:
pass
def setwriter(self, writer):
self.writer = writer
def setprocessor(self, tags, processor):
if isinstance(tags, str):
tags = tuple(tags.split(":"))
else:
assert isinstance(tags, tuple)
self._tag2proc[tags] = processor
class _TagTracerSub:
def __init__(self, root, tags):
self.root = root
self.tags = tags
def __call__(self, *args):
self.root.processmessage(self.tags, args)
def setmyprocessor(self, processor):
self.root.setprocessor(self.tags, processor)
def get(self, name):
return self.__class__(self.root, self.tags + (name,))
def _raise_wrapfail(wrap_controller, msg):
co = wrap_controller.gi_code
raise RuntimeError("wrap_controller at %r %s:%d %s" %
(co.co_name, co.co_filename, co.co_firstlineno, msg))
def _wrapped_call(wrap_controller, func):
""" Wrap calling to a function with a generator which needs to yield
exactly once. The yield point will trigger calling the wrapped function
and return its _CallOutcome to the yield point. The generator then needs
to finish (raise StopIteration) in order for the wrapped call to complete.
"""
try:
next(wrap_controller) # first yield
except StopIteration:
_raise_wrapfail(wrap_controller, "did not yield")
call_outcome = _CallOutcome(func)
try:
wrap_controller.send(call_outcome)
_raise_wrapfail(wrap_controller, "has second yield")
except StopIteration:
pass
return call_outcome.get_result()
class _CallOutcome:
""" Outcome of a function call, either an exception or a proper result.
Calling the ``get_result`` method will return the result or reraise
the exception raised when the function was called. """
excinfo = None
def __init__(self, func):
try:
self.result = func()
except BaseException:
self.excinfo = sys.exc_info()
def force_result(self, result):
self.result = result
self.excinfo = None
def get_result(self):
if self.excinfo is None:
return self.result
else:
ex = self.excinfo
if _py3:
raise ex[1].with_traceback(ex[2])
_reraise(*ex) # noqa
if not _py3:
exec("""
def _reraise(cls, val, tb):
raise cls, val, tb
""")
class _TracedHookExecution:
def __init__(self, pluginmanager, before, after):
self.pluginmanager = pluginmanager
self.before = before
self.after = after
self.oldcall = pluginmanager._inner_hookexec
assert not isinstance(self.oldcall, _TracedHookExecution)
self.pluginmanager._inner_hookexec = self
def __call__(self, hook, hook_impls, kwargs):
self.before(hook.name, hook_impls, kwargs)
outcome = _CallOutcome(lambda: self.oldcall(hook, hook_impls, kwargs))
self.after(outcome, hook.name, hook_impls, kwargs)
return outcome.get_result()
def undo(self):
self.pluginmanager._inner_hookexec = self.oldcall
class PluginManager(object):
""" Core Pluginmanager class which manages registration
of plugin objects and 1:N hook calling.
You can register new hooks by calling ``addhooks(module_or_class)``.
You can register plugin objects (which contain hooks) by calling
``register(plugin)``. The Pluginmanager is initialized with a
prefix that is searched for in the names of the dict of registered
plugin objects. An optional excludefunc allows to blacklist names which
are not considered as hooks despite a matching prefix.
For debugging purposes you can call ``enable_tracing()``
which will subsequently send debug information to the trace helper.
"""
def __init__(self, project_name, implprefix=None):
""" if implprefix is given implementation functions
will be recognized if their name matches the implprefix. """
self.project_name = project_name
self._name2plugin = {}
self._plugin2hookcallers = {}
self._plugin_distinfo = []
self.trace = _TagTracer().get("pluginmanage")
self.hook = _HookRelay(self.trace.root.get("hook"))
self._implprefix = implprefix
self._inner_hookexec = lambda hook, methods, kwargs: \
_MultiCall(methods, kwargs, hook.spec_opts).execute()
def _hookexec(self, hook, methods, kwargs):
# called from all hookcaller instances.
# enable_tracing will set its own wrapping function at self._inner_hookexec
return self._inner_hookexec(hook, methods, kwargs)
def register(self, plugin, name=None):
""" Register a plugin and return its canonical name or None if the name
is blocked from registering. Raise a ValueError if the plugin is already
registered. """
plugin_name = name or self.get_canonical_name(plugin)
if plugin_name in self._name2plugin or plugin in self._plugin2hookcallers:
if self._name2plugin.get(plugin_name, -1) is None:
return # blocked plugin, return None to indicate no registration
raise ValueError("Plugin already registered: %s=%s\n%s" %
(plugin_name, plugin, self._name2plugin))
# XXX if an error happens we should make sure no state has been
# changed at point of return
self._name2plugin[plugin_name] = plugin
# register matching hook implementations of the plugin
self._plugin2hookcallers[plugin] = hookcallers = []
for name in dir(plugin):
hookimpl_opts = self.parse_hookimpl_opts(plugin, name)
if hookimpl_opts is not None:
normalize_hookimpl_opts(hookimpl_opts)
method = getattr(plugin, name)
hookimpl = HookImpl(plugin, plugin_name, method, hookimpl_opts)
hook = getattr(self.hook, name, None)
if hook is None:
hook = _HookCaller(name, self._hookexec)
setattr(self.hook, name, hook)
elif hook.has_spec():
self._verify_hook(hook, hookimpl)
hook._maybe_apply_history(hookimpl)
hook._add_hookimpl(hookimpl)
hookcallers.append(hook)
return plugin_name
def parse_hookimpl_opts(self, plugin, name):
method = getattr(plugin, name)
res = getattr(method, self.project_name + "_impl", None)
if res is not None and not isinstance(res, dict):
# false positive
res = None
elif res is None and self._implprefix and name.startswith(self._implprefix):
res = {}
return res
def unregister(self, plugin=None, name=None):
""" unregister a plugin object and all its contained hook implementations
from internal data structures. """
if name is None:
assert plugin is not None, "one of name or plugin needs to be specified"
name = self.get_name(plugin)
if plugin is None:
plugin = self.get_plugin(name)
# if self._name2plugin[name] == None registration was blocked: ignore
if self._name2plugin.get(name):
del self._name2plugin[name]
for hookcaller in self._plugin2hookcallers.pop(plugin, []):
hookcaller._remove_plugin(plugin)
return plugin
def set_blocked(self, name):
""" block registrations of the given name, unregister if already registered. """
self.unregister(name=name)
self._name2plugin[name] = None
def is_blocked(self, name):
""" return True if the name blogs registering plugins of that name. """
return name in self._name2plugin and self._name2plugin[name] is None
def add_hookspecs(self, module_or_class):
""" add new hook specifications defined in the given module_or_class.
Functions are recognized if they have been decorated accordingly. """
names = []
for name in dir(module_or_class):
spec_opts = self.parse_hookspec_opts(module_or_class, name)
if spec_opts is not None:
hc = getattr(self.hook, name, None)
if hc is None:
hc = _HookCaller(name, self._hookexec, module_or_class, spec_opts)
setattr(self.hook, name, hc)
else:
# plugins registered this hook without knowing the spec
hc.set_specification(module_or_class, spec_opts)
for hookfunction in (hc._wrappers + hc._nonwrappers):
self._verify_hook(hc, hookfunction)
names.append(name)
if not names:
raise ValueError("did not find any %r hooks in %r" %
(self.project_name, module_or_class))
def parse_hookspec_opts(self, module_or_class, name):
method = getattr(module_or_class, name)
return getattr(method, self.project_name + "_spec", None)
def get_plugins(self):
""" return the set of registered plugins. """
return set(self._plugin2hookcallers)
def is_registered(self, plugin):
""" Return True if the plugin is already registered. """
return plugin in self._plugin2hookcallers
def get_canonical_name(self, plugin):
""" Return canonical name for a plugin object. Note that a plugin
may be registered under a different name which was specified
by the caller of register(plugin, name). To obtain the name
of an registered plugin use ``get_name(plugin)`` instead."""
return getattr(plugin, "__name__", None) or str(id(plugin))
def get_plugin(self, name):
""" Return a plugin or None for the given name. """
return self._name2plugin.get(name)
def get_name(self, plugin):
""" Return name for registered plugin or None if not registered. """
for name, val in self._name2plugin.items():
if plugin == val:
return name
def _verify_hook(self, hook, hookimpl):
if hook.is_historic() and hookimpl.hookwrapper:
raise PluginValidationError(
"Plugin %r\nhook %r\nhistoric incompatible to hookwrapper" %
(hookimpl.plugin_name, hook.name))
for arg in hookimpl.argnames:
if arg not in hook.argnames:
raise PluginValidationError(
"Plugin %r\nhook %r\nargument %r not available\n"
"plugin definition: %s\n"
"available hookargs: %s" %
(hookimpl.plugin_name, hook.name, arg,
_formatdef(hookimpl.function), ", ".join(hook.argnames)))
def check_pending(self):
""" Verify that all hooks which have not been verified against
a hook specification are optional, otherwise raise PluginValidationError"""
for name in self.hook.__dict__:
if name[0] != "_":
hook = getattr(self.hook, name)
if not hook.has_spec():
for hookimpl in (hook._wrappers + hook._nonwrappers):
if not hookimpl.optionalhook:
raise PluginValidationError(
"unknown hook %r in plugin %r" %
(name, hookimpl.plugin))
def load_setuptools_entrypoints(self, entrypoint_name):
""" Load modules from querying the specified setuptools entrypoint name.
Return the number of loaded plugins. """
from pkg_resources import iter_entry_points, DistributionNotFound
for ep in iter_entry_points(entrypoint_name):
# is the plugin registered or blocked?
if self.get_plugin(ep.name) or self.is_blocked(ep.name):
continue
try:
plugin = ep.load()
except DistributionNotFound:
continue
self.register(plugin, name=ep.name)
self._plugin_distinfo.append((plugin, ep.dist))
return len(self._plugin_distinfo)
def list_plugin_distinfo(self):
""" return list of distinfo/plugin tuples for all setuptools registered
plugins. """
return list(self._plugin_distinfo)
def list_name_plugin(self):
""" return list of name/plugin pairs. """
return list(self._name2plugin.items())
def get_hookcallers(self, plugin):
""" get all hook callers for the specified plugin. """
return self._plugin2hookcallers.get(plugin)
def add_hookcall_monitoring(self, before, after):
""" add before/after tracing functions for all hooks
and return an undo function which, when called,
will remove the added tracers.
``before(hook_name, hook_impls, kwargs)`` will be called ahead
of all hook calls and receive a hookcaller instance, a list
of HookImpl instances and the keyword arguments for the hook call.
``after(outcome, hook_name, hook_impls, kwargs)`` receives the
same arguments as ``before`` but also a :py:class:`_CallOutcome`` object
which represents the result of the overall hook call.
"""
return _TracedHookExecution(self, before, after).undo
def enable_tracing(self):
""" enable tracing of hook calls and return an undo function. """
hooktrace = self.hook._trace
def before(hook_name, methods, kwargs):
hooktrace.root.indent += 1
hooktrace(hook_name, kwargs)
def after(outcome, hook_name, methods, kwargs):
if outcome.excinfo is None:
hooktrace("finish", hook_name, "-->", outcome.result)
hooktrace.root.indent -= 1
return self.add_hookcall_monitoring(before, after)
def subset_hook_caller(self, name, remove_plugins):
""" Return a new _HookCaller instance for the named method
which manages calls to all registered plugins except the
ones from remove_plugins. """
orig = getattr(self.hook, name)
plugins_to_remove = [plug for plug in remove_plugins if hasattr(plug, name)]
if plugins_to_remove:
hc = _HookCaller(orig.name, orig._hookexec, orig._specmodule_or_class,
orig.spec_opts)
for hookimpl in (orig._wrappers + orig._nonwrappers):
plugin = hookimpl.plugin
if plugin not in plugins_to_remove:
hc._add_hookimpl(hookimpl)
# we also keep track of this hook caller so it
# gets properly removed on plugin unregistration
self._plugin2hookcallers.setdefault(plugin, []).append(hc)
return hc
return orig
class _MultiCall:
""" execute a call into multiple python functions/methods. """
# XXX note that the __multicall__ argument is supported only
# for pytest compatibility reasons. It was never officially
# supported there and is explicitely deprecated since 2.8
# so we can remove it soon, allowing to avoid the below recursion
# in execute() and simplify/speed up the execute loop.
def __init__(self, hook_impls, kwargs, specopts={}):
self.hook_impls = hook_impls
self.kwargs = kwargs
self.kwargs["__multicall__"] = self
self.specopts = specopts
def execute(self):
all_kwargs = self.kwargs
self.results = results = []
firstresult = self.specopts.get("firstresult")
while self.hook_impls:
hook_impl = self.hook_impls.pop()
args = [all_kwargs[argname] for argname in hook_impl.argnames]
if hook_impl.hookwrapper:
return _wrapped_call(hook_impl.function(*args), self.execute)
res = hook_impl.function(*args)
if res is not None:
if firstresult:
return res
results.append(res)
if not firstresult:
return results
def __repr__(self):
status = "%d meths" % (len(self.hook_impls),)
if hasattr(self, "results"):
status = ("%d results, " % len(self.results)) + status
return "<_MultiCall %s, kwargs=%r>" % (status, self.kwargs)
def varnames(func, startindex=None):
""" return argument name tuple for a function, method, class or callable.
In case of a class, its "__init__" method is considered.
For methods the "self" parameter is not included unless you are passing
an unbound method with Python3 (which has no supports for unbound methods)
"""
cache = getattr(func, "__dict__", {})
try:
return cache["_varnames"]
except KeyError:
pass
if inspect.isclass(func):
try:
func = func.__init__
except AttributeError:
return ()
startindex = 1
else:
if not inspect.isfunction(func) and not inspect.ismethod(func):
func = getattr(func, '__call__', func)
if startindex is None:
startindex = int(inspect.ismethod(func))
try:
rawcode = func.__code__
except AttributeError:
return ()
try:
x = rawcode.co_varnames[startindex:rawcode.co_argcount]
except AttributeError:
x = ()
else:
defaults = func.__defaults__
if defaults:
x = x[:-len(defaults)]
try:
cache["_varnames"] = x
except TypeError:
pass
return x
class _HookRelay:
""" hook holder object for performing 1:N hook calls where N is the number
of registered plugins.
"""
def __init__(self, trace):
self._trace = trace
class _HookCaller(object):
def __init__(self, name, hook_execute, specmodule_or_class=None, spec_opts=None):
self.name = name
self._wrappers = []
self._nonwrappers = []
self._hookexec = hook_execute
if specmodule_or_class is not None:
assert spec_opts is not None
self.set_specification(specmodule_or_class, spec_opts)
def has_spec(self):
return hasattr(self, "_specmodule_or_class")
def set_specification(self, specmodule_or_class, spec_opts):
assert not self.has_spec()
self._specmodule_or_class = specmodule_or_class
specfunc = getattr(specmodule_or_class, self.name)
argnames = varnames(specfunc, startindex=inspect.isclass(specmodule_or_class))
assert "self" not in argnames # sanity check
self.argnames = ["__multicall__"] + list(argnames)
self.spec_opts = spec_opts
if spec_opts.get("historic"):
self._call_history = []
def is_historic(self):
return hasattr(self, "_call_history")
def _remove_plugin(self, plugin):
def remove(wrappers):
for i, method in enumerate(wrappers):
if method.plugin == plugin:
del wrappers[i]
return True
if remove(self._wrappers) is None:
if remove(self._nonwrappers) is None:
raise ValueError("plugin %r not found" % (plugin,))
def _add_hookimpl(self, hookimpl):
if hookimpl.hookwrapper:
methods = self._wrappers
else:
methods = self._nonwrappers
if hookimpl.trylast:
methods.insert(0, hookimpl)
elif hookimpl.tryfirst:
methods.append(hookimpl)
else:
# find last non-tryfirst method
i = len(methods) - 1
while i >= 0 and methods[i].tryfirst:
i -= 1
methods.insert(i + 1, hookimpl)
def __repr__(self):
return "<_HookCaller %r>" % (self.name,)
def __call__(self, **kwargs):
assert not self.is_historic()
return self._hookexec(self, self._nonwrappers + self._wrappers, kwargs)
def call_historic(self, proc=None, kwargs=None):
self._call_history.append((kwargs or {}, proc))
# historizing hooks don't return results
self._hookexec(self, self._nonwrappers + self._wrappers, kwargs)
def call_extra(self, methods, kwargs):
""" Call the hook with some additional temporarily participating
methods using the specified kwargs as call parameters. """
old = list(self._nonwrappers), list(self._wrappers)
for method in methods:
opts = dict(hookwrapper=False, trylast=False, tryfirst=False)
hookimpl = HookImpl(None, "<temp>", method, opts)
self._add_hookimpl(hookimpl)
try:
return self(**kwargs)
finally:
self._nonwrappers, self._wrappers = old
def _maybe_apply_history(self, method):
if self.is_historic():
for kwargs, proc in self._call_history:
res = self._hookexec(self, [method], kwargs)
if res and proc is not None:
proc(res[0])
class HookImpl:
def __init__(self, plugin, plugin_name, function, hook_impl_opts):
self.function = function
self.argnames = varnames(self.function)
self.plugin = plugin
self.opts = hook_impl_opts
self.plugin_name = plugin_name
self.__dict__.update(hook_impl_opts)
class PluginValidationError(Exception):
""" plugin failed validation. """
def _formatdef(func):
return "%s%s" % (
func.__name__,
inspect.formatargspec(*inspect.getargspec(func))
)

View File

@ -48,7 +48,7 @@ def has_environment_marker_support():
def main():
install_requires = ['py>=1.4.29', 'pluggy>=0.3.0,<0.4.0']
install_requires = ['py>=1.4.29'] # pluggy is vendored in _pytest.vendored_packages
extras_require = {}
if has_environment_marker_support():
extras_require[':python_version=="2.6" or python_version=="3.0" or python_version=="3.1"'] = ['argparse']
@ -76,7 +76,7 @@ def main():
install_requires=install_requires,
extras_require=extras_require,
setup_requires=['setuptools_scm'],
packages=['_pytest', '_pytest.assertion'],
packages=['_pytest', '_pytest.assertion', '_pytest.vendored_packages'],
py_modules=['pytest'],
zip_safe=False,
)

View File

@ -4,13 +4,13 @@ terminal reporting of the full testing process.
import collections
import pytest
import py
import pluggy
import sys
from _pytest.main import EXIT_NOTESTSCOLLECTED
from _pytest.terminal import TerminalReporter, repr_pythonversion, getreportopt
from _pytest.terminal import build_summary_stats_line, _plugin_nameversions
from _pytest import runner
import _pytest._pluggy as pluggy
def basic_run_report(item):
runner.call_and_report(item, "setup", log=False)