- Add a prebuilt libclang 5.0 in
libclang/
for mac, linux and windows. - If you want use the prebuilt licbclang 5.0 work with Android NDK, then
only the NDK r16 (or higher version) can work corrently
with it.
- python2.7
- py-yaml
- cheetah (for target language templates)
Usage: generator.py [options] {configfile}
Options:
-h, --help show this help message and exit
-s SECTION sets a specific section to be converted
-t TARGET specifies the target vm. Will search for TARGET.yaml
Basically, you specify a target vm (spidermonkey is the only current target vm) and the section from
the .ini
file you want to generate code for.
Included in this repository is a simple test. Use this to confirm the generator is working and that your environment is set up correctly.
- The test uses the prebuilt 5.0 libclang, so you should use
Android NDK r16
or higher version. - The test uses <string> and <stdint.h> so you need a C++ implementation that provides these
- Currently, the test script is setup to use the Android NDK's llvm libc++
- The OSX 10.9 has a built-in python2.7 and if your os don't have python2.7 then use Homebrew to install the python and use pip install the python dependencies.
brew install python
- Install python dependices by pip.
sudo easy_install pip sudo pip install PyYAML sudo pip install Cheetah
- Download NDK r16 from google
- If you are using python installed from other way, copy user.cfg.sample and rename it as
user.cfg
then set the absolute path to pythonPYTHON_BIN
inuser.cfg
- Run follow command, it will generate a
userconf.ini
, and check the values in it if it occorus any error.
export NDK_ROOT=/path/to/android-ndk-r16 ./test.sh
- Install python
sudo apt-get install python2.7
- Install python dependices by pip.
sudo apt-get install python-pip sudo pip install PyYAML sudo pip install Cheetah
- Download NDK r16 from google
- If you are using python installed from other way, copy user.cfg.sample and rename it as
user.cfg
then set the absolute path to pythonPYTHON_BIN
inuser.cfg
- Run follow command, it will generate a
userconf.ini
, and check the values in it if it occorus any error.
export NDK_ROOT=/path/to/android-ndk-r16 ./test.sh
- Download python2.7.3 (
32bit
) from (http://www.python.org/ftp/python/2.7.3/python-2.7.3.msi). - Add the installed path of python (e.g. C:\Python27) to windows environment variable named 'PATH'.
- Download pyyaml from http://pyyaml.org/download/pyyaml/PyYAML-3.10.win32-py2.7.exe and install it.
- Download Cheetah-2.4.4.tar.gz, extract and install it by
python setup.py
. - Download NDK r16 from google
- Set the environment variables (
PYTHON_ROOT
andNDK_ROOT
) or just them intest.bat
. - Run "test.bat". The generated codes will be under "simple_test_bindings".
Upon running the test you might see some warnings but should not see any errors.
The test will create a directory named simple_test_bindings that contains 3 files
- A .hpp header file for the bindings class
- A .cpp file implementing the bindings class
- A .js file that documents how to call (from JavaScript) the methods the C++ class exposes
The .ini
file is a simple text file specifying the settings for the code generator. Here's the
default one, used for cocos2d-x
[cocos2d-x]
prefix = cocos2dx
events = CCNode#onEnter CCNode#onExit
extra_arguments = -I../../cocos2dx/include -I../../cocos2dx/platform -I../../cocos2dx/platform/ios -I../../cocos2dx -I../../cocos2dx/kazmath/include -arch i386 -DTARGET_OS_IPHONE -isysroot /Applications/Xcode.app/Contents/Developer/Platforms/iPhoneSimulator.platform/Developer/SDKs/iPhoneSimulator5.1.sdk -x c++
headers = ../../cocos2dx/include/cocos2d.h
classes = CCSprite
functions = my_free_function
- prefix: the prefix for the project. Must be a valid identifier for the language of the target vm. Most of the time, the name will be intermixed between the class name and the function name, since all generated (probably) will be free functions, we do that in order to avoid name collition. The script will generate ${prefix}.cpp and ${prefix}.hpp as a result.
- events: a list of identifiers in the form of ClassName#functionName that are events to be called from the native world to the target vm.
- extra_arguments: extra arguments to pass to the clang interface. Basically you can think of this as the arguments to pass to the "compiler", so add as many as you need here. If you're targetting C++, make sure you add "-x c++" as the last argument to force C++ mode on a ".h" file. Otherwise, name your header files as ".hpp".
- headers: list of headers to parse. Usually you add a single header that in turn
#include
s the rest of the files. - classes: the classes that will be parsed. Right not is just a string, but it will accept regular expressions
- functions: space-separated list of free functions to be binded. Same as with classes, it will support regular expressions.
- skip: a space-separated list of
Classes::functions
or justfunctions
to not generate any code.
The generator is using Cheetah templates to create a more flexible generator. The way it was thought, is that for every target environment, you should provide with a way to generate the same C/C++ functionality. Every template has access to the proper meta information for the code or generator (function, classes, etc.)
Right now it's separated in the following set of templates:
- prelude.c/.h: The header of the generated files.
- ifunction.c/.h: The template for an instance function
- ifunction_overloaded.c: The template for the implementation of an overloaded function. An overloaded function is exactly the same as a function, but it has an array of functions sharing the same name. The current implementation for spidermonkey only works if the overloading is with different number of arguments.
- sfunction.c/.h: The template for a static function
- sfunction_overloaded.c: The template for an overloaded static function
- register.c: Here you should add the constructor/finalizer, the registration function (if needed) and the footer of the header file. This is the last chunk being generated
Templates are stored in the templates/${target}
directory and follow the naming specified above.
One final part of the puzzle is the ${target}.yaml
file, that contains specific type conversion
snippets to be used by the templates. For instance, for spidermonkey, this is the place where we
specify the conversion routines for the native types (to and from int, float, string, etc.)
Currently the generator is leveraging clang in order to get information about the C/C++ code, so we can only get as much information as clang give us. Known list of things that won't work:
- variable number of arguments. Solution: write a manual wrapper