I am writing C extensions, and I'd like to make the signature of my methods visible for introspection.
static PyObject* foo(PyObject *self, PyObject *args) {
/* blabla [...] */
}
PyDoc_STRVAR(
foo_doc,
"Great example function\n"
"Arguments: (timeout, flags=None)\n"
"Doc blahblah doc doc doc.");
static PyMethodDef methods[] = {
{"foo", foo, METH_VARARGS, foo_doc},
{NULL},
};
PyMODINIT_FUNC init_myexample(void) {
(void) Py_InitModule3("_myexample", methods, "a simple example module");
}
Now if (after building it...) I load the module and look at its help:
>>> import _myexample
>>> help(_myexample)
I will get:
Help on module _myexample:
NAME
_myexample - a simple example module
FILE
/path/to/module/_myexample.so
FUNCTIONS
foo(...)
Great example function
Arguments: (timeout, flags=None)
Doc blahblah doc doc doc.
I would like to be even more specific and be able to replace foo(...) by foo(timeout, flags=None)
Can I do this? How?
Any code that you write using any compiled language like C, C++, or Java can be integrated or imported into another Python script. This code is considered as an "extension." A Python extension module is nothing more than a normal C library. On Unix machines, these libraries usually end in . so (for shared object).
A PyObject is in fact just a Python object at the C level. And since integers in Python are objects, they are also PyObject s. It doesn't matter whether it was written in Python or in C, it is a PyObject at the C level regardless.
Python allows the writer of a C extension module to define new types that can be manipulated from Python code, much like the built-in str and list types. The code for all extension types follows a pattern, but there are some details that you need to understand before you can get started.
It has been 7 years but you can include the signature for C-extension function and classes.
Python itself uses the Argument Clinic to dynamically generate signatures. Then some mechanics create a __text_signature__
and this can be introspected (for example with help
). @MartijnPieters explained this process quite well in this answer.
You may actually get the argument clinic from python and do it in a dynamic fashion but I prefer the manual way: Adding the signature to the docstring:
In your case:
PyDoc_STRVAR(
foo_doc,
"foo(timeout, flags=None, /)\n"
"--\n"
"\n"
"Great example function\n"
"Arguments: (timeout, flags=None)\n"
"Doc blahblah doc doc doc.");
I made heavy use of this in my package: iteration_utilities/src
. So to demonstrate that it works I use one of the C-extension functions exposed by this package:
>>> from iteration_utilities import minmax
>>> help(minmax)
Help on built-in function minmax in module iteration_utilities._cfuncs:
minmax(iterable, /, key, default)
Computes the minimum and maximum values in one-pass using only
``1.5*len(iterable)`` comparisons. Recipe based on the snippet
of Raymond Hettinger ([0]_) but significantly modified.
Parameters
----------
iterable : iterable
The `iterable` for which to calculate the minimum and maximum.
[...]
The docstring for this function is defined this file.
It is important to realize that this isn't possible for python < 3.4 and you need to follow some rules:
You need to include --\n\n
after the signature definition line.
The signature must be in the first line of the docstring.
The signature must be valid, i.e. foo(a, b=1, c)
fails because it's not possible to define positional arguments after arguments with default.
You can only provide one signature. So it doesn't work if you use something like:
foo(a)
foo(x, a, b)
--
Narrative documentation
My usual approach to finding out about things like this is: "use the source".
Basically, I would presume that the standard modules of python would use such a feature when available. Looking at the source (for example here) should help, but in fact even the standard modules add the prototype after the automatic output. Like this:
torsten@pulsar:~$ python2.6 >>> import fcntl >>> help(fcntl.flock) flock(...) flock(fd, operation) Perform the lock operation op on file descriptor fd. See the Unix [...]
So as upstream is not using such a feature, I would assume it is not there. :-)
Okay, I just checked current python3k sources and this is still the case. That signature is generated in pydoc.py
in the python sources here: pydoc.py. Relevant excerpt starting in line 1260:
if inspect.isfunction(object): args, varargs, varkw, defaults = inspect.getargspec(object) ... else: argspec = '(...)'
inspect.isfunction checks if the object the documentation is requested for is a Python function. But C implemented functions are considered builtins, therefore you will always get name(...)
as the output.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With