QT SYNC TUTORIAL CODE

Extract the source code into a working directory.Here are the basic steps for building Qt on any platform:

QT SYNC TUTORIAL PATCH

You may also want to build Qt from a development version in the git repository, which only provides source code, or with a specific patch or other change that you require. If you want to test an Alpha release of Qt, these are typically only provided as source code. Or, you may need to build Qt against a different C++ compiler or run-time library. You may, for example, want to enable or disable different options or modules to match the requirements of your platform and application. Why would you want to build Qt from source? While the downloadable pre-compiled binaries are convenient and save time, you may want to build Qt using a different configuration from that provided by The Qt Company. In this post, aimed at developers with novice-level Qt skills, we'll look at how you can build Qt yourself from source code. This work is done in a similar way to when we generated a library with the 'frontend' template.In previous blogs I have covered installing Qt and Qt Creator on Windows and on Linux using the Qt installer and pre-built binaries.

QT SYNC TUTORIAL GENERATOR

To add this type of back end, once again, we use the Interface Framework Generator to do the heavy lifting for us and generate one. This is why such back ends are called 'simulation backend'. For now, we'd like to just have some simulation behavior as we can't connect it easily to a real car. This implementation is based on QtInterfaceFramework's Dynamic Backend System which enables us to switch between such back ends at runtime.įor our Instrument Cluster, we'd like to add such a back end to provide actual values. The same separation is done for our Middleware API, where the front end provides the API as a library the back end provides an implementation of this API. Already, Qt uses this concept in a lot of areas, most prominently in the underlying window system technology on various Qt platforms like XCB on Linux and Cocoa on macOS. This allows you to split an API from its actual implementation. Separation between the Front End and Back Endīoth QtInterfaceFramework and the Interface Framework Generator enable you to write code that separates the front end from the back end. Now, in this chapter, we extend this further by introducing a simulation back end and using annotations to define default values for our simulation. In the previous two chapters, we wrote a Middleware API using a QFace file and used the Interface Framework Generator to auto-generate a C++ API in the form of a library. Set(import_path '$ Chapter 3: Add a Simulation Back End and Annotations with a QML plugin Set_target_properties(libIc_ch1 PROPERTIES RUNTIME_OUTPUT_DIRECTORY. Set_target_properties(libIc_ch1 PROPERTIES OUTPUT_NAME 'InstrumentCluster') The ultimate goal is to connect all of these features together to simulate a real-time driving experience like this:įind_package(Qt6 REQUIRED COMPONENTS Core InterfaceFramework Qml Quick)

Indicate whether the instrument cluster is connected and show real data.

Show different warnings on the right dial.

Show the current temperature in the top bar.

Show the current RPM in the right dial.

Show the current speed in the left dial.

Next, we use our Middleware API to add support for the following features:

Top.qml – The top bar that shows the current date and the current temperature.

RightDial.qml – Shows the current RPM and offers a way to show warning indicators.

LeftDial.qml – Shows the current speed using the Dial component and as text, as well as the current metric in miles per hour (mph) or kilometers per hour (km/h).

Label.qml – A small helper component which sets all common settings used to display text.

Fuel.qml – The component to show the actual fuel level.

Dial.qml – The base component to show values like speed or Revolutions per Minute (RPM), using a needle.

Cluster.qml – The main QML file that assembles all other QML components together.

images – This folder contains all images used in the QML code.

Develop a production back end that connects to a DBus interfaceīefore we start the actual middleware integration, let's take a look at the existing Instrument Cluster QML code and all the features it supports:.

Add a simulation server and use it from a Qt Remote Objects back end.

Add a simulation back end and corresponding simulation annotations with a QML plugin.

Extend the interface and add annotations.

Integrate a basic interface without a back end.

We use an existing QML Instrument Cluster application and proceed through the following steps: This tutorial demonstrates how you can extend a QML application with your own auto-generated Middleware API.

Qt sync tutorial