A library to call Python functions with parameters determined at runtime by name.
Project description
=======
calllib
=======
Overview
========
``calllib`` provides 3 functions, ``apply``, ``getargs``, and
``inspect_params``. These functions are used to inspect and call
Python functions whose parameters are not known in advance, but are
determined at runtime from a mapping of available objects.
This is particularly useful in plug-in frameworks, where you don't
want every callback function to be required to have identical
signatures. Instead, each function can take a subset of available
parameters.
For example::
>>> import calllib
>>> def callback1(time):
... print('callback1 called at:', time)
>>> def callback2(time, reason):
... print('callback2 called at:', time, 'reason:', reason)
# register the callbacks
>>> callbacks = [callback1, callback2]
# elsewhere: compute the total universe of possible
# callback arguments
>>> args = {'time': 'noon', 'reason': 'abort'}
>>> for callback in callbacks:
... calllib.apply(callback, args) # execute each callback
callback1 called at: noon
callback2 called at: noon reason: abort
The last line shows that you can call any callback routine without
knowing its exact arguments, as long as its arguments are a subset of
the available arguments.
apply()
-------
``apply(callable, args)``
* `callable` - Any callable object that can be inspected with the
`inspect` module.
* `args` - A mapping object, typically a `dict`, that contains the
available arguments that will be passed to `callable`.
`callable` is inpsected with ``getargs`` and the its parameters are
extracted by name. For each parameter the corresponding value is
retrieved from `args` by name and passed to the callable.
``apply`` returns the result of executing `callable` with the
computed arguments.
getargs()
---------
``getargs(callable, args)``
* `callable` - Any callable object that can be inspected with the
`inspect` module.
* `args` - A mapping object, typically a `dict`, that contains the
available arguments that could be passed to `callable`.
`callable` is inspected to determine its parameters. For each
parameter the corresponding value is retrieved from `args`. If a
parameter is not found in args `callable` has a default value for
that parameter, the default value is retrieved.
``getargs`` returns a list of actual argument values that would be
passed to `callable`.
inspect_params()
----------------
``inspect_params(callable)``
* `callable` - Any callable object that can be inspected with the
`inspect` module.
`callable` is inspected to deterine its parameters and default
values, if any. ``inspect_params`` returns a tuple containing a
list of parameter names and a dict with default values, if any. For
example::
>>> def foo(x, y=0, z=6): pass
...
>>> calllib.inspect_params(foo)
(['x', 'y', 'z'], {'y': 0, 'z': 6})
>>> class Baz(object):
... def __init__(self, x, y='hello'): pass
...
>>> calllib.inspect_params(Baz)
(['x', 'y'], {'y': 'hello'})
Types of callables supported
============================
``calllib`` supports any callable written in Python. This includes
functions, bound and unbound methods, classes, and object instances
with `__call__` members.
Because they are not introspectable by the inspect module, built in
Python functions such as ``len`` cannot be used with ``apply``.
Default arguments
=================
Functions with default arguments are fully supported by
``calllib``. If an argument is not specified in the `args` parameter
to ``apply`` and it has a default, the default value will be used.
Testing
=======
To test, run 'python -m pytest'.
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