Given an interface description of an object with one or more methods, libmultiprocess generates:
- A C++
ProxyClientclass with an implementation of each interface method that sends a request over a socket, waits for a response, and returns the result. - A C++
ProxyServerclass that listens for requests over a socket and calls a wrapped C++ object implementing the same interface to actually execute the requests.
The function call ⇆ request translation supports input and output arguments, standard types like unique_ptr, vector, map, and optional, and bidirectional calls between processes through interface pointer and std::function arguments.
If the wrapped C++ object inherits from an abstract base class declaring virtual methods, the generated ProxyClient objects can inherit from the same class, allowing interprocess calls to replace local calls without changes to existing code.
There is also optional support for thread mapping, so each thread making interprocess calls can have a dedicated thread processing requests from it, and callbacks from processing threads are executed on corresponding request threads (so recursive mutexes and thread names function as expected in callbacks).
Libmultiprocess acts as a pure wrapper or layer over the underlying protocol. Clients and servers written in other languages, but using a shared capnproto schema can communicate with interprocess counterparties using libmultiprocess without having to use libmultiprocess themselves or having to know about the implementation details of libmultiprocess.
The ProxyClient and ProxyServer generated classes are not directly exposed to the user, as described in usage.md. Instead, they wrap c++ interfaces and appear to the user as pointers to an interface. They are first instantiated when calling ConnectStream and ServeStream respectively for creating the InitInterface. These methods establish connections through sockets, internally creating Connection objects wrapping a capnp::RpcSystem configured for client and server mode respectively.
The InitInterface interface will typically have methods which return other interfaces, giving the connecting process the ability to call other functions in the serving process. Interfaces can also have methods accepting other interfaces as parameters, giving serving processes the ability to call back and invoke functions in connecting processes. Creating new interfaces does not create new connections, and typically many interface objects will share the same connection.
Both ConnectStream and ServeStream also require an instantiation of the EventLoop. The EventLoop owns pending requests, notifies on request dispatch, allows clients from multiple threads to make synchronous calls, and handles some cleanup routines on exit. It must be run in a separate thread so it is always active and can process incoming requests from local clients and remote connections.
When a generated method on the ProxyClient is called, it calls clientInvoke with the capnp-translated types. clientInvoke creates a self-executing promise (kj::TaskSet) that drives the execution of the request and gives ownership of it to the EventLoop. clientInvoke blocks until a response is received, or until there is a call from the server that needs to run on the same client thread, using a Waiter object.
On the server side, the capnp::RpcSystem receives the capnp request and invokes the corresponding c++ method through the corresponding ProxyServer and the heavily templated serverInvoke triggering a ServerCall. Its return values from the actual c++ methods are copied into capnp responses by ServerRet and exceptions are caught and copied by ServerExcept. The two are connected through ServerField. The main method driving execution of a request is PassField, which is invoked through ServerField. Instantiated interfaces, or capabilities in capnp speak, are tracked and owned by the server's capnp::RpcSystem.
As explained in the usage document, interface descriptions need to be consumed both by the libmultiprocess code generator, and by C++ code that calls and implements the interfaces. The C++ code only needs to know about C++ arguments and return types, while the code generator only needs to know about capnp arguments and return types, but both need to know class and method names, so the corresponding .h and .capnp source files contain some of the same information, and have to be kept in sync manually when methods or parameters change. Despite the redundancy, reconciling the interface definitions is designed to be straightforward and safe. Straightforward because there is no need to write manual serialization code or use awkward intermediate types like UniValue instead of native types. Safe because if there are any inconsistencies between API and data definitions (even minor ones like using a narrow int data type for a wider int API input), there are errors at build time instead of errors or bugs at runtime.
In the future, it would be possible to combine API and data definitions together using C++ attributes. To do this we would add attributes to the API definition files, and then generate the data definitions from the API definitions and attributes. I didn't take this approach mostly because it would be extra work, but also because until c++ standardizes reflection, this would require either hooking into compiler APIs like https://github.com/RosettaCommons/binder, or parsing c++ code manually like http://www.swig.org/.
KJ is a concurrency framework bundled with capnproto; it is used as a basis in this library to construct the event-loop necessary to service IPC requests.
libmultiprocess uses the Cap'n Proto interface description language and protocol, but it could be extended or changed to use a different IDL/protocol like gRPC. The nice thing about Cap'n Proto compared to gRPC and most other lower level protocols is that it allows interface pointers (Services in gRPC parlance) to be passed as method arguments and return values, so object references and bidirectional requests work out of the box. Supporting a lower-level protocol would require writing adding maps and tracking code to proxy objects.
libmultiprocess is currently compatible with sandboxing but could add platform-specific sandboxing support or integration with a sandboxing library like SAPI.