使用Boost.Python将Python转换为C ++函数

Question

I have a bunch of classes and APIs written in C++ and exposed to Python with help of Boost.Python

I am currently investigating the possibilities of creating the following architecture.
In python:

from boostPythonModule import *
AddFunction( boostPythonObject.Method1, args )
AddFunction( boostPythonObject.Method2, args )
AddFunction( boostPythonObject.Method2, args )
RunAll( ) # running is done by C++

In C++:

void AddFunction( boost::object method,  boost::object args )
{
    /// 1. Here i need to extract a real pointer to a function
    /// 2. Make argument and type checking for a function under method
    /// 3. Unpack all arguments to native types
    /// 4. Store the pointer to a function somewhere in local storage
}

void RunAll( )
{
    /// 1. run all previously stored functions and arguments for them
}

Basically I am trying to put all functions down to the native part of my program. The thing is that I am not sure if it's possible to extract all required data from Boost metainfo to do this in generic way - at compile time I should not know what functions I'm gonna call and what arguments they accept.

Few questions:
1. Is there any shared Python info tables I can access to check for some of this stuff ?
2. Boost.Python does type arguments checking. Can it be reused separately ?

Let me know your thoughts.

Thanks

Answer 1

I would think about caching functions and their arguments on python level - save the arguments using the latest form from Keyword arguments section of tutorial and call your C++ functions later unpacking saved arguments unpacking done at python level will isolate you from any boost typesafety complications (all typechecking will be done on RunAll stage making it slower and less secure).

Speed optimized approach would be to implement a C++ clasess with a common interface that can accept a function calls supporting given arguments and caching their values internally to use in later run.

struct Runner {
  virtual int run() = 0;
};

struct ConcreteRunner: public Runner {
  std::string _arg;
  void setArguments(std::string arg) {_arg=arg;}
  virtual int run() {clog << "ConcreteRunner is called with argument" << _arg << endl;}
};

This approach handles argument parsing outside of RunAll section therefore making it as fast as possible.