Documentation/CTK Plugin Framework: Introduction

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The CTK Plugin Framework can shortly be described as a dynamic component system for C++.

Design

The design of the CTK Plugin Framework (see also the Design Document is heavily inspired by OSGi (a dynamic component system for Java) and enables a development model where applications are (dynamically) composed of many different (reusable) components. This model allows to communicate through services, which are objects that are specifically shared between components.

The framework's layered model is illustrated in Figure 1, containing:

Figure 1: Layered Model of the CTK Plugin Framework
  • Plugins - Plugins are the CTK components created by the developers.
  • Services Layer - Connects plugins in a dynamic way by offering a publish-find-bind model for C++ objects.
  • Life Cycle Layer - The API to install, start, stop, update, and uninstall plugins.
  • Security - Handles security aspects (not available yet)

A more detailed explanation of these concepts can be found below.

Plugins

A CTK Plugin is, at it's core, a shared library based on the Qt Plugin system. Additionally, symbols in CTK libraries are by default hidden across all platforms. This is the first step towards modularity, which is about keeping things local and not shared. The less things you share, the less wrong assumptions can be made. However, without sharing there can be no collaboration. CTK Plugins usually only share symbols (classes and functions) to support the CTK services model.

Services

A collaborative model in C++ is usually realized with the use of factory patterns. Different toolkits use different patterns and API to access such a factory. Very often, influencing the decision about which implementation is used by the factory is non-trivial. Further, the implementation code can usually not advertise its availability, nor can the user list the possible implementations and pick the most suitable one. Factories are also in general not dynamic, once an instance of an implementation is registered, it can not be withdrawn. Finally, if many different factories are in use, there is no centralized overview of the implementations to which your code is bound.

One solution to these issues is the CTK service registry. A plugin can create an object and register it with the CTK service registry under one or more interfaces (an interface is a C++ class with usually only pure virtual methods). Other plugins can ask the registry to list all services (objects) that are registered under a specific interface. A plugin may even wait for a specific service to appear and then get a call back.

A plugin can therefore register a service, it can get a service, and it can listen for a service to appear or disappear. An arbitrary number of plugins can register services under the same interface, and any number of plugins can get the same service, see Figure 2.

Figure 2: Registering and getting a service

If multiple plugins register objects under the same interface, they can be distinguished by their properties. Each service registration has a set of standard and custom properties. You can use an expressive filter language to select only the services in which you are interested. Properties can also be used for other roles at the application level.

Since services are dynamic, a plugin can decide to withdraw its service from the registry while other plugins are still using it. Plugins using such a service must then ensure that they no longer use the service object and drop any pointers to it. This may sound like a significant additional complexity at first, but using helper classes like ctkServiceTracker and a framework like Declarative Services (to be developed) can make this process straight-forward and the gained advantages are quite large. The dynamic nature of services allows to install and uninstall plugins on the fly while other plugins stay functional. It also models real world problems closer because most often, such problems are not static. For example in a distributed environment a service could model a connection end-point and if the connection to the remote machine is gone, the service can be withdrawn. Further, the dynamics solve the initialization problem. Applications using CTK Plugins do not require a specific start ordering in their plugins.

Though the service registry accepts any QObject-based object as a service, the best way to achieve reuse is to register these objects under (standard) interfaces to decouple the implementation from the client code. Hence the CTK Plugin Framework provides a number of standard interfaces which are designed closely to the service specifications published in the OSGi Service Platform Release 4 Compendium Specification. These standard services are described in detail in the specification and on this Wiki.

Deployment

The CTK Plugin Framework can be used as the main container for all your application logic, but it can also be embedded in your existing framework. The management of the framework is standardized by providing a simple API allowing plugins to install, start, stop, and update other plugins, as well as enumerating the plugins and their service usage. This API can be used by so-called management agents to control the Plugin Framework. Management agents can be as diverse as command line shells, rich graphical desktop applications, or an AJAX-application.

Benefits

  • Reduced Complexity
  • Reuse
  • Real World
  • Easy Deployment
  • Dynamic Updates
  • Adaptive
  • Transparency
  • Versioning
  • Simple
  • Small
  • Lazy
  • Secure
  • Humble
  • Non Intrusive