hpp-template-corba 5.0.0
Template corba server
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hpp-template-corba

Introduction

This package is intended to ease construction of CORBA servers by templating actions that are common to all servers.

Principle

This package only contains one template class hpp::corba::Server. The parameter of this template class is the implementation of an idl interface.

How to

Implementing the server

Let us assume that you want to build a server implementing the following interface written in file interface.idl.

// file interface.idl
module hpp {
interface MyInterface {
// Compute the sum of two real numbers.
double sum(in double a, in double b);
};
};
Definition: server.hh:18

Generate C++ code relative to this interface using omniidl.

omniidl -bcxx interface.idl

Two files are created: interface.hh and interfaceSK.cc.

You need to write the implementation of your server as a class deriving from POA_hpp::MyInterface (defined in interface.hh).

// file my-interface.impl.hh
#ifndef HPP_CORBA_INTERFACE_IMPL_HH
#define HPP_CORBA_INTERFACE_IMPL_HH
#include <omniORB4/CORBA.h>
#include "interface.hh"
class MyImplementation : public virtual POA_hpp::MyInterface
{
virtual CORBA::Double sum(CORBA::Double a, CORBA::Double b)
{
return a+b;
}
}; // end of class MyImplementation
#endif //HPP_CORBA_INTERFACE_IMPL_HH

You can now implement a server in two ways.

Using a name

server.

//file server.cc
#include <stdlib.h>
#include "my-interface.impl.hh"
int main(int argc, char** argv)
{
server.initRootPOA(true);
const std::string contextId("cId");
const std::string contextKind("cKind");
const std::string objectId("oId");
const std::string objectKind("oKind");
if (server.startCorbaServer(contextId, contextKind,
objectId, objectKind) != 0) {
exit (-1);
}
server.processRequest(true);
}
Template CORBA server.
Definition: server.hh:124

Using a fixed

address.

//file server.cc
#include <stdlib.h>
#include "my-interface.impl.hh"
int main(int argc, char** argv)
{
// The adress of the server is specified by the option endpoint
const char* options[][2] = { { "endPoint", ":::13331" }, { 0, 0 } };
hpp::corba::Server<MyImplementation> server (argc, argv, "", options);
server.initOmniINSPOA("server_name");
// This line is mandatory only if you want to enable multithreading.
// It must be called after
// server.initRootPOA(true);
if (server.startCorbaServer() != 0) {
exit (-1);
}
server.processRequest(true);
}

To compile the above file, use omniORB specific flags:

g++ -o server `pkg-config --cflags hpp-template-corba` `pkg-config --cflags
omniORB4` `pkg-config --libs omniORB4` interfaceSK.cc server.cc

where includedir is the header installation directory of this package. You get an executable implementing your CORBA. To run the server, you need to start a name server. Your server will be referenced in the name server by cId.cKind/oId.oKind

Implementing the client

In this section, we implement a python client for the above server.

The first step consists in compiling interface.idl to generate python stubs:

omniidl -bpython -Wbpackage=hpp_corba interface.idl

A new directory hpp_corba is created. The following lines implement a python client,

Using a name

server.

# File client.py from omniORB import CORBA import CosNaming import
sys
orb = CORBA.ORB_init (sys.argv, CORBA.ORB_ID)
obj = orb.resolve_initial_references("NameService")
rootContext = obj._narrow(CosNaming.NamingContext)
name = [CosNaming.NameComponent ("cId", "cKind"), CosNaming.NameComponent
("oId", "oKind")] obj = rootContext.resolve (name) from hpp_corba.hpp import *
client = obj._narrow(MyInterface)

Using a fixed

address.

# File client.py from omniORB import CORBA
orb = CORBA.ORB_init (sys.argv, CORBA.ORB_ID)
obj = orb.string_to_object(":::13331/server_name")
from hpp_corba.hpp import *
client = obj._narrow(MyInterface)

Running the server and client

You need 3 terminals.

In the first terminal, run the name server

omniNames -start

in the second terminal, run the server:

./server

in the third terminal, open a python terminal

python
Python 2.6.2 (r262:71600, Jan 25 2010, 18:46:45)
[GCC 4.4.2 20091222 (Red Hat 4.4.2-20)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from client import client
>>> client.sum(1.5, 2.5)
4.0
>>>