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/****************************************************************************
**
** Copyright (C) 2010 Nokia Corporation and/or its subsidiary(-ies).
** All rights reserved.
** Contact: Nokia Corporation (qt-info@nokia.com)
**
** This file is part of the documentation of the Qt Toolkit.
**
** $QT_BEGIN_LICENSE:FDL$
** No Commercial Usage
** This file contains pre-release code and may not be distributed.
** You may use this file in accordance with the terms and conditions
** contained in the Technology Preview License Agreement accompanying
** this package.
**
** GNU Free Documentation License
** Alternatively, this file may be used under the terms of the GNU Free
** Documentation License version 1.3 as published by the Free Software
** Foundation and appearing in the file included in the packaging of this
** file.
**
** If you have questions regarding the use of this file, please contact
** Nokia at qt-info@nokia.com.
** $QT_END_LICENSE$
**
****************************************************************************/
/*!
\example webkit/imageanalyzer
\startpage {index.html}{Qt Reference Documentation}
\title The Webkit Bridge Tutorial - Hybrid Client Application
In this example, we will show how to write a hybrid application using
\l{The QtWebKit Bridge}{QtWebKit Bridge}, which distinguishes itself from a
thin client in that it performs heavy calculations on the client side in C++,
like a native application, but presents nothing more than a \c QWebView for its
user interface, displaying web content written in HTML/JavaScript. The
application uses QtConcurrent to distribute its work across as many CPU cores as
are available from the system, so it can process each image in parallel.
For the full reference documentation of QtWebKit hybrid development, see
\l{qtwebkit-bridge.html}{The QtWebKit Bridge}.
Initially, you will see a user interface with an empty list of images. Clicking
on some of the images in the lower pane below adds them to the list view above,
as shown in the screenshot below.
\image webkit-imageanalyzer-screenshot.png
Now, we can click on \bold Analyze, and each image is analyzed using some
computationally intensive C++ function, in parallel and on different cores.
Progress is shown while the analysis is proceeding.
\image webkit-imageanalyzer-progress.png
and in the end, we will see something like this, where the average RGB values of
each image are shown.
\image webkit-imageanalyzer-complete.png
The MainWindow is defined in C++, and creates a \l QNetworkDiskCache and a
\l QWebView, and tells the \l QWebView to load the starting page, providing us
with a user interface for the client.
\snippet examples/webkit/imageanalyzer/mainwindow.cpp MainWindow - constructor
In this example, the sample content is addressed with the \tt qrc:/index.html
URL. \tt qrc:/ indicates that the file is stored as a Qt resource (attached to
the executable). In a real-world application, the content and images would
likely be retrieved from the network rather than from resources.
We wish to initialize an object reference in the JavaScript web page to point
to our \tt ImageAnalyzer before any other scripts are run. To do this, we
connect the \l{QWebFrame::}{javaScriptWindowObjectCleared()} signal to a slot
which does the object creation and handoff to JavaScript.
\snippet examples/webkit/imageanalyzer/mainwindow.cpp MainWindow - addJSObject
The ImageAnalyzer object is created and added to a JavaScript object on the web
page's mainFrame with \c addToJavaScriptWindowObject().
The start page is resources/index.html.
In one of its <div> regions, we have images, each
with an \c onClick() handler that calls \c addImage().
\snippet examples/webkit/imageanalyzer/resources/index.html sample images
Clicking an image adds it to an images list.
\snippet examples/webkit/imageanalyzer/resources/index.html addImage
The \bold {Analyze} button at the bottom of the image list is clicked when we
want to start the analysis:
\snippet examples/webkit/imageanalyzer/resources/index.html images list
When the user clicks the \bold {Analyze} button, \c analyzeImages() is called,
another regular JavaScript method, shown below.
Notice it assumes the \c imageAnalyzer object is already defined and initialized
in JavaScript space, but we guaranteed that by connecting our setup slot to the
appropriate signal, \l{QWebFrame::}{javaScriptWindowObjectCleared()}.
\snippet examples/webkit/imageanalyzer/resources/index.html analyzeImages
The only methods on \c ImageAnalyzer that we can or do call from JavaScript are
those which are exposed through \{The Meta-Object System}{Qt's MetaObject}
system: \l{The Property System}{property} getter/setter methods,
\c public \l {Signals & Slots}{signals and slots}, and other
\l{Q_INVOKABLE}{Q_INVOKABLE} functions.
\snippet examples/webkit/imageanalyzer/imageanalyzer.h ImageAnalyzer - public interface
\dots
\snippet examples/webkit/imageanalyzer/imageanalyzer.h ImageAnalyzer - private members
Most of the members are set up in the constructor:
\snippet examples/webkit/imageanalyzer/imageanalyzer.cpp ImageAnalyzer - Constructor
Back on the JavaScript side, we want to connect signals from this object to
JavaScript functions on our web page, after the web page is loaded, but before
the images are analyzed.
From \c connectSlots(), we can see how to connect signals from the imageAnalyzer
object to regular JavaScript functions, which can also behave like slots. We use
this to monitor and display progress from the C++ side.
\snippet examples/webkit/imageanalyzer/resources/index.html connect slots
The only public slot is \c startAnalysis(), called to place
a list of URLs into the image analyzer's QtConcurrent processing queue
from JavaScript space.
\snippet examples/webkit/imageanalyzer/imageanalyzer.cpp ImageAnalyzer - startAnalysis
The images need to be loaded again now, which is why fetchURLs first checks the
cache to see if we can save an extra network get.
\snippet examples/webkit/imageanalyzer/imageanalyzer.cpp ImageAnalyzer - fetchURLs
For the images that were not in the cache, \c handleReply()
will load them into a QImage when the data is ready.
\snippet examples/webkit/imageanalyzer/imageanalyzer.cpp ImageAnalyzer - handleReply
After the images are loaded, they are queued up in preparation to be
sent in a batch for analysis to a \l QFutureWatcher, which will distribute the
processing across multiple threads and cores, depending on how many are available.
\snippet examples/webkit/imageanalyzer/imageanalyzer.cpp ImageAnalyzer - queueImage
The function that gets performed on each image is \c averageRGB(),
as specified in argument 2 to the \l{QtConcurrent::mapped()} function.
Notice it repeats the same calculations 100 times on each pixel to keep the CPU
very busy. This is done only for the purposes of the demo so that the analysis
takes a noticeable time to complete.
\snippet examples/webkit/imageanalyzer/imageanalyzer.cpp ImageAnalyzer - averageRGB
*/
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