Extending/Embedding FAQ
Yes, you can create built-in modules containing functions,
variables, exceptions and even new types in C. This is explained in
the document "Extending and Embedding the Python Interpreter" (http://docs.python.org/ext/ext.html).
Most intermediate or advanced Python books will also
cover this topic.
Yes, using the C compatibility features found in C++.
Place extern "C" { ... } around the Python include files and put
extern "C" before each function that is going to be called by the
Python interpreter. Global or static C++ objects with constructors
are probably not a good idea.
There are a number of alternatives to writing your own C extensions,
depending on what you're trying to do.
If you need more speed, Psyco generates x86 assembly code
from Python bytecode. You can use Psyco to compile the most
time-critical functions in your code, and gain a significant
improvement with very little effort, as long as you're running on a
machine with an x86-compatible processor.
Pyrex is a compiler that accepts a slightly modified form of Python
and generates the corresponding C code. Pyrex makes it possible to write
an extension without having to learn Python's C API.
If you need to interface to some C or C++ library for which no Python
extension currently exists, you can try wrapping the library's data types
and functions with a tool such as SWIG. SIP, CXX Boost, or Weave are also alternatives for
wrapping C++ libraries.
The highest-level function to do this is PyRun_SimpleString() which takes
a single string argument to be executed in the context of the module
__main__ and returns 0 for success and -1 when an exception occurred
(including SyntaxError). If you want more control, use PyRun_String();
see the source for PyRun_SimpleString() in Python/pythonrun.c.
Call the function PyRun_String() from the previous question with the
start symbol Py_eval_input; it
parses an expression, evaluates it and returns its value.
That depends on the object's type. If it's a tuple,
PyTupleSize(o) returns its length and PyTuple_GetItem(o, i)
returns its i'th item. Lists have similar functions, PyListSize(o)
and PyList_GetItem(o, i).
For strings, PyString_Size(o) returns
its length and PyString_AsString(o) a pointer to its value.
Note that Python strings may contain null bytes so C's strlen()
should not be used.
To test the type of an object, first make sure
it isn't NULL, and then use PyString_Check(o), PyTuple_Check(o),
PyList_Check(o), etc.
There is also a high-level API to Python objects which is
provided by the so-called 'abstract' interface -- read
Include/abstract.h for further details. It allows
interfacing with any kind of Python sequence
using calls like PySequence_Length(), PySequence_GetItem(), etc.)
as well as many other useful protocols.
You can't. Use t = PyTuple_New(n) instead, and fill it with
objects using PyTuple_SetItem(t, i, o) -- note that this "eats" a
reference count of o, so you have to Py_INCREF it.
Lists have similar functions PyList_New(n) and
PyList_SetItem(l, i, o). Note that you must set all the tuple items to
some value before you pass the tuple to Python code --
PyTuple_New(n) initializes them to NULL, which isn't a valid Python
value.
The PyObject_CallMethod() function can be used to call an arbitrary
method of an object. The parameters are the object, the name of the
method to call, a format string like that used with Py_BuildValue(), and the argument values:
PyObject *
PyObject_CallMethod(PyObject *object, char *method_name,
char *arg_format, ...);
This works for any object that has methods -- whether built-in or
user-defined. You are responsible for eventually Py_DECREF'ing the
return value.
To call, e.g., a file object's "seek" method with arguments 10, 0
(assuming the file object pointer is "f"):
res = PyObject_CallMethod(f, "seek", "(ii)", 10, 0);
if (res == NULL) {
... an exception occurred ...
}
else {
Py_DECREF(res);
}
Note that since PyObject_CallObject() always wants a tuple for the
argument list, to call a function without arguments, pass "()" for the
format, and to call a function with one argument, surround the argument
in parentheses, e.g. "(i)".
In Python code, define an object that supports the write() method.
Assign this object to sys.stdout and sys.stderr.
Call print_error, or just allow the standard traceback mechanism to
work. Then, the output will go wherever your write() method sends it.
The easiest way to do this is to use the StringIO class in the standard
library.
Sample code and use for catching stdout:
>>> class StdoutCatcher:
... def __init__(self):
... self.data = ''
... def write(self, stuff):
... self.data = self.data + stuff
...
>>> import sys
>>> sys.stdout = StdoutCatcher()
>>> print 'foo'
>>> print 'hello world!'
>>> sys.stderr.write(sys.stdout.data)
foo
hello world!
You can get a pointer to the module object as follows:
module = PyImport_ImportModule("<modulename>");
If the module hasn't been imported yet (i.e. it is not yet present in
sys.modules), this initializes the module; otherwise it simply returns
the value of sys.modules["<modulename>"]. Note that it doesn't enter
the module into any namespace -- it only ensures it has been
initialized and is stored in sys.modules.
You can then access the module's attributes (i.e. any name defined in
the module) as follows:
attr = PyObject_GetAttrString(module, "<attrname>");
Calling PyObject_SetAttrString() to assign to variables in the module also works.
Depending on your requirements, there are many approaches. To do
this manually, begin by reading the "Extending and Embedding" document. Realize
that for the Python run-time system, there isn't a whole lot of
difference between C and C++ -- so the strategy of building a new Python
type around a C structure (pointer) type will also work for C++
objects.
For C++ libraries, you can look at SIP, CXX, Boost, Weave or
SWIG
Setup must end in a newline, if there is no newline there, the build
process fails. (Fixing this requires some ugly shell script hackery,
and this bug is so minor that it doesn't seem worth the effort.)
When using GDB with dynamically loaded extensions, you can't set a
breakpoint in your extension until your extension is loaded.
In your .gdbinit file (or interactively), add the command:
br _PyImport_LoadDynamicModule
Then, when you run GDB:
$ gdb /local/bin/python
gdb) run myscript.py
gdb) continue # repeat until your extension is loaded
gdb) finish # so that your extension is loaded
gdb) br myfunction.c:50
gdb) continue
Most packaged versions of Python don't include the
/usr/lib/python2.x/config/ directory, which contains various files required
for compiling Python extensions.
For Red Hat, install the python-devel RPM to get the necessary files.
For Debian, run apt-get install python-dev.
This means that you have created an extension module named "yourmodule", but your module init function does not initialize with that name.
Every module init function will have a line similar to:
module = Py_InitModule("yourmodule", yourmodule_functions);
If the string passed to this function is not the same name as your
extension module, the SystemError exception will be raised.
Sometimes you want to emulate the Python interactive interpreter's
behavior, where it gives you a continuation prompt when the input
is incomplete (e.g. you typed the start of an "if" statement
or you didn't close your parentheses or triple string quotes),
but it gives you a syntax error message immediately when the input
is invalid.
In Python you can use the codeop module, which approximates the
parser's behavior sufficiently. IDLE uses this, for example.
The easiest way to do it in C is to call PyRun_InteractiveLoop()
(perhaps in a separate thread) and let the Python interpreter handle
the input for you. You can also set the PyOS_ReadlineFunctionPointer
to point at your custom input function. See Modules/readline.c and
Parser/myreadline.c for more hints.
However sometimes you have to run the embedded Python interpreter in
the same thread as your rest application and you can't allow the
PyRun_InteractiveLoop() to stop while waiting for user input. The
one solution then is to call PyParser_ParseString() and test for
e.error equal to E_EOF, which means the input is incomplete).
Here's a sample code fragment, untested, inspired by code from Alex Farber:
#include <Python.h>
#include <node.h>
#include <errcode.h>
#include <grammar.h>
#include <parsetok.h>
#include <compile.h>
int testcomplete(char *code)
/* code should end in \n */
/* return -1 for error, 0 for incomplete, 1 for complete */
{
node *n;
perrdetail e;
n = PyParser_ParseString(code, &_PyParser_Grammar,
Py_file_input, &e);
if (n == NULL) {
if (e.error == E_EOF)
return 0;
return -1;
}
PyNode_Free(n);
return 1;
}
Another solution is trying to compile the received string with
Py_CompileString(). If it compiles without errors, try to execute the returned
code object by calling PyEval_EvalCode(). Otherwise save the input for
later. If the compilation fails, find out if it's an error or just
more input is required - by extracting the message string from the
exception tuple and comparing it to the string "unexpected EOF while parsing".
Here is a complete example using the GNU readline library (you may
want to ignore SIGINT while calling readline()):
#include <stdio.h>
#include <readline.h>
#include <Python.h>
#include <object.h>
#include <compile.h>
#include <eval.h>
int main (int argc, char* argv[])
{
int i, j, done = 0; /* lengths of line, code */
char ps1[] = ">>> ";
char ps2[] = "... ";
char *prompt = ps1;
char *msg, *line, *code = NULL;
PyObject *src, *glb, *loc;
PyObject *exc, *val, *trb, *obj, *dum;
Py_Initialize ();
loc = PyDict_New ();
glb = PyDict_New ();
PyDict_SetItemString (glb, "__builtins__", PyEval_GetBuiltins ());
while (!done)
{
line = readline (prompt);
if (NULL == line) /* CTRL-D pressed */
{
done = 1;
}
else
{
i = strlen (line);
if (i > 0)
add_history (line); /* save non-empty lines */
if (NULL == code) /* nothing in code yet */
j = 0;
else
j = strlen (code);
code = realloc (code, i + j + 2);
if (NULL == code) /* out of memory */
exit (1);
if (0 == j) /* code was empty, so */
code[0] = '\0'; /* keep strncat happy */
strncat (code, line, i); /* append line to code */
code[i + j] = '\n'; /* append '\n' to code */
code[i + j + 1] = '\0';
src = Py_CompileString (code, "<stdin>", Py_single_input);
if (NULL != src) /* compiled just fine - */
{
if (ps1 == prompt || /* ">>> " or */
'\n' == code[i + j - 1]) /* "... " and double '\n' */
{ /* so execute it */
dum = PyEval_EvalCode ((PyCodeObject *)src, glb, loc);
Py_XDECREF (dum);
Py_XDECREF (src);
free (code);
code = NULL;
if (PyErr_Occurred ())
PyErr_Print ();
prompt = ps1;
}
} /* syntax error or E_EOF? */
else if (PyErr_ExceptionMatches (PyExc_SyntaxError))
{
PyErr_Fetch (&exc, &val, &trb); /* clears exception! */
if (PyArg_ParseTuple (val, "sO", &msg, &obj) &&
!strcmp (msg, "unexpected EOF while parsing")) /* E_EOF */
{
Py_XDECREF (exc);
Py_XDECREF (val);
Py_XDECREF (trb);
prompt = ps2;
}
else /* some other syntax error */
{
PyErr_Restore (exc, val, trb);
PyErr_Print ();
free (code);
code = NULL;
prompt = ps1;
}
}
else /* some non-syntax error */
{
PyErr_Print ();
free (code);
code = NULL;
prompt = ps1;
}
free (line);
}
}
Py_XDECREF(glb);
Py_XDECREF(loc);
Py_Finalize();
exit(0);
}
To dynamically load g++ extension modules, you must recompile Python, relink it using g++ (change LINKCC in the python Modules Makefile), and link your extension module using g++ (e.g., "g++ -shared -o mymodule.so mymodule.o").
In Python 2.2, you can inherit from builtin classes such as int, list, dict, etc.
The Boost Python Library (BPL, http://www.boost.org/libs/python/doc/index.html)
provides a way of doing this from C++ (i.e. you can inherit from an
extension class written in C++ using the BPL).
You are using a version of Python that uses a 4-byte representation
for Unicode characters, but some C extension module you are importing
was compiled using a Python that uses a 2-byte representation for
Unicode characters (the default).
If instead the name of the undefined symbol starts with
PyUnicodeUCS4, the problem is the reverse: Python was built using
2-byte Unicode characters, and the extension module was compiled using
a Python with 4-byte Unicode characters.
This can easily occur when using pre-built extension packages. RedHat
Linux 7.x, in particular, provided a "python2" binary that is compiled
with 4-byte Unicode. This only causes the link failure if the extension
uses any of the PyUnicode_*() functions. It is also a problem if an
extension uses any of the Unicode-related format specifiers for
Py_BuildValue (or similar) or parameter specifications for
PyArg_ParseTuple().
You can check the size of the Unicode character a Python interpreter is
using by checking the value of sys.maxunicode:
>>> import sys
>>> if sys.maxunicode > 65535:
... print 'UCS4 build'
... else:
... print 'UCS2 build'
The only way to solve this problem is to use extension modules compiled
with a Python binary built using the same size for Unicode characters.