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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 specification
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.
i����Ns 0.4.0t
PluginManagert PluginValidationErrort
HookCallErrort HookspecMarkert HookimplMarkeri i c B s) e Z d Z d � Z d e e d � Z RS( s 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.
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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.
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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.
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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).
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� Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z RS( s� Core Pluginmanager class which manages registration
of plugin objects and 1:N hook calling.
You can register new hooks by calling ``add_hookspec(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.
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is_registered� s c C s" t | d d � p! t t | � � S( s Return canonical name for a plugin object. Note that a plugin
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and return an undo function which, when called,
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which represents the result of the overall hook call.
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