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pythonQT界面设计(PyQt v4 Python Bindings for Qt v4 | Документация)

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导读:PyQt v4 - Python Bindings for Qt v4 Reference Guide Contact: info@riverbankcomputing.com Version: 4.4.4 Copyri...

PyQt v4 - Python Bindings for Qt v4

Reference Guide

Contact: info@riverbankcomputing.com Version: 4.4.4 Copyright: Copyright (c) 2008 Riverbank Computing Limited

1Introduction

This is the reference guide for PyQt 4.4.4. PyQt v4 is a set of

Python bindings for v4 of the Qt application

framework from Trolltech.

There is a separate PyQt API Reference.

Qt is a set of C++ libraries and development tools that includes platform

independent abstractions for graphical user interfaces, networking, threads,

Unicode, regular expressions, SQL databases, SVG, OpenGL, XML, and user and

application settings. PyQt implements 440 of these classes as a set of

Python modules.

PyQt supports the Windows, Linux, UNIX and MacOS/X platforms.

PyQt does not include Qt itself - you must obtain it separately.

The homepage for PyQt is http://www.riverbankcomputing.com/software/pyqt/.

Here you will always find the latest stable version, current development

snapshots, and the latest version of this documentation.

PyQt is built using the SIP bindings generator. SIP must be installed in

order to build and use PyQt.

Earlier versions of Qt are supported by PyQt v3.

1.1License

Like Qt v4, PyQt is licensed on all platforms under a commercial license, the

GPL v2 and the GPL v3. Your PyQt license must be compatible with your Qt

license. If you use the GPL versions then your own code must also use a

compatible license.

You can purchase a commercial PyQt license here.

1.2PyQt Components

PyQt comprises a number of different components. First of all there are a

number of Python extension modules. These are all installed in the PyQt4 Python package. The QtCore

module. This contains the core non-GUI classes, including

the event loop and Qts signal and slot mechanism. It also includes

platform independent abstractions for Unicode, threads, mapped files,

shared memory, regular expressions, and user and application settings. The QtGui module. This contains the majority of the GUI classes. The QtHelp

module. This contains classes for creating and viewing

searchable documentation. The QtNetwork

module. This module contains classes for writing UDP

and TCP clients and servers. It includes classes that implement FTP and

HTTP clients and support DNS lookups. The QtOpenGL

module. This module contains classes that enable the

use of OpenGL in rendering 3D graphics in PyQt applications. The QtScript

module. This module contains classes that enable PyQt

applications to be scripted using Qts JavaScript interpreter. The QtSql

module. This module contains classes that integrate with

SQL databases. It includes editable data models for database tables that

can be used with GUI classes. It also includes an implementation of

SQLite. The QtSvg

module. This module contains classes for displaying the

contents of SVG files. The QtTest

module. This module contains functions that enable unit

testing of PyQt applications. (PyQt does not implement the complete Qt

unit test framework. Instead it assumes that the standard Python unit

test framework will be used and implements those functions that simulate

a user interacting with a GUI.) The QtWebKit

module. This module implements a web browser engine

based on the WebKit open source browser engine. The QtXml

module. This module contains classes that implement SAX

and DOM interfaces to Qts XML parser. The QtXmlPatterns

module. This module contains classes that

implement XQuery and XPath support for XML and custom data models. The phonon

module. This module contains classes that

implement a cross-platform multimedia framework that enables the use of

audio and video content in PyQt applications. The QtAssistant

module. This module contains classes that allow Qt

Assistant to be integrated with a PyQt application to provide online

help. The QtDesigner

module. This module contains classes that allow Qt

Designer to be extended using PyQt. See Writing Qt Designer Plugins

for a full description of how to do this. The QAxContainer

module. This module contains classes that allow

access to ActiveX controls and COM objects. It is only available in the

commercial version of PyQt for Windows. The Qt

module. This module consolidates the classes contained in all

of the modules described above into a single module. This has the

advantage that you dont have to worry about which underlying module

contains a particular class. It has the disadvantage that it loads the

whole of the Qt framework, thereby increasing the memory footprint of an

application. Whether you use this consolidated module, or the individual

component modules is down to personal taste. The DBus support

module is installed as dbus.mainloop.qt

. PyQt does not support Qts

native DBus classes (which are very C++ orientated). Instead the

dbus.mainloop.qt

module provides support for the Qt event loop in the

same way that the dbus.mainloop.glib

included with the standard

dbus-python

bindings package provides support for the GLib event

loop. The API is described in The DBus Support Module. It is only

available for PyQt for X11 and only if the dbus-python

v0.80 (or

later) bindings package is installed. The uic

module. This module contains classes for handling the

.ui

files created by Qt Designer that describe the whole or part of a

graphical user interface. It includes classes that load a .ui

file

and render it directly, and classes that generate Python code from a

.ui

file for later execution. It is covered in detail in The uic

Module. The pyqtconfig

module is an extention of the SIP build system and is

created when PyQt is configured. It encapsulates all the necessary

information about your Qt installation and makes it easier to write

installation scripts for bindings built on top of PyQt. It is covered

in detail in The PyQt Build System.

PyQt also contains a number of utility programs.

pyuic4 corresponds to the Qt uic

utility. It converts GUIs

created using Qt Designer to Python code. It is covered in detail in

pyuic4. pyrcc4 corresponds to the Qt rcc

utility. It embeds arbitrary

resources (eg. icons, images, translation files) described by a resource

collection file in a Python module. It is covered in detail in

pyrcc4. (Note It will only be included if your copy of Qt includes

the XML module.) pylupdate4 corresponds to the Qt lupdate

utility. It extracts

all of the translatable strings from Python code and creates or updates

.ts

translation files. These are then used by Qt Linguist to manage

the translation of those strings. It is covered in detail in

pylupdate4. (Note It will only be included if your copy of Qt

includes the XML module.)

When PyQt is configured a file called PyQt4.api

is generated. This can be

used by the QScintilla editor component (at

http://www.riverbankcomputing.com/software/qscintilla/) to enable the use of

auto-completion and call tips when editing PyQt code. The API file is

installed automatically if QScintilla is already installed.

PyQt includes a large number of examples. These are ports to Python of many

of the C++ examples provided with Qt. They can be found in the examples directory.

Finally, PyQt contains the .sip

files used by SIP to generate PyQt

itself. These can be used by developers of bindings of other Qt based class

libraries - for example PyQwt and PyQwt3D.

2Installing PyQt

2.1Downloading SIP

SIP must be installed before building and using PyQt. You can get the latest

release of the SIP source code from

http://www.riverbankcomputing.com/software/sip/download.

The SIP documentation can be found at

http://www.riverbankcomputing.com/static/Docs/sip4/sipref.html.

2.2Downloading PyQt

You can get the latest release of the GPL version of the PyQt source code from

http://www.riverbankcomputing.com/software/pyqt/download.

If you are using the commercial version of PyQt then you should use the

download instructions which were sent to you when you made your purchase. You

must also download your license file.

2.3Configuring PyQt

After unpacking the source package (either a .tar.gz or a .zip

file

depending on your platform) you should then check for any README

files

that relate to your platform.

If you are using the commercial version of PyQt then you must copy your

license file to the sip directory.

You need to make sure your environment variables are set properly for your

development environment. For example, if you are using a binary distribution

of Qt on Windows then make sure you have run the qtvars.bat

file. For

other platforms it is normally enough to ensure that Qts bin

directory is

on your PATH.

Next you need to configure SIP by executing the configure.py

script. For

example: python configure.py

This assumes that the Python interpreter is on your path. Something like the

following may be appropriate on Windows: c:\python25\python configure.py

If you have multiple versions of Python installed then make sure you use the

interpreter for which you wish to build PyQt for.

The full set of command line options is:

--version Display the PyQt version number. -h, --help Display a help message. --confirm-license Using this confirms that you accept the terms of the PyQt license. -k, --static

The PyQt modules will be built as static libraries. This is useful when

building a custom interpreter with the PyQt modules built in to the

interpreter. -r, --trace

The generated PyQt modules contain additional tracing code that is enabled

using SIPs sip.settracemask() function. -u, --debug

The PyQt modules will be built with debugging symbols. On Windows this

requires that a debug version of Python is installed. -w, --verbose

Compiler commands and any output issued during configuration is displayed

instead of being suppressed. Use this if configure.py

is having

problems to see what exactly is going wrong. -c, --concatenate

The C++ source files for a Python module will be concatenated. This

results in significantly reduced compilation times. Most, but not all,

C++ compilers can handle the large files that result. It is recommended

that you use this option if you are using GCC v3.x or MSVC v7.x. See also

the --concatenate-split option. -j N, --concatenate-split=N If the --concatenate

option is used to concatenate the C++ source files

then this option determines how many files are created. The default is 1. -g, --consolidate Normally each PyQt module (except for the Qt

module) is linked against

the corresponding Qt library. This option creates a module called _qt

which is linked against all the required Qt libraries and the other modules

are stub modules that populate their module dictionaries from this one.

This is useful when linking against static Qt libraries to eliminate the

need to distribute the Qt libraries while minimising the memory footprint

of the PyQt modules. -e MODULE, --enable=MODULE

Normally checks for all PyQt4 modules are enabled and are built if the

corresponding Qt library can be found. Using this option only those

modules specifically enabled will be checked for and built. The option may

be specified any number of times. -t PLUGIN, --plugin=PLUGIN If Qt has been built as static libraries then the static plugin PLUGIN

will be linked with the appropriate PyQt module. The option may be

specified any number of times. -q FILE, --qmake=FILE Qts qmake

program is used to determine how your Qt installation is

laid out. Normally qmake is found on your PATH

. This option can

be used to specify a particular instance of qmake

to use. This option

is not available on Windows. -s DIR, --dbus=DIR The dbus-python.h

header file of the dbus-python package can be found

in the directory DIR/dbus. -b DIR, --bindir=DIR The pyuic4, pyrcc4 and pylupdate4

utilities will be installed

in the directory DIR. -d DIR, --destdir=DIR The PyQt Python package will be installed in the directory DIR

. The

default is the Python installations site-packages

directory. If you

use this option then the PYTHONPATH

environment variable must include

DIR. -p DIR, --plugin-destdir=DIR

The Qt Designer plugin that manages plugins implemented in Python will be

installed in the designer subdirectory of the directory DIR. --no-designer-plugin The Qt Designer plugin will not be built. --no-sip-files The .sip files for the PyQt modules will not be installed. -v DIR, --sipdir=DIR The .sip

files for the PyQt modules will be installed in the directory

DIR. -i, --vendorid

The checking of signed Python interpreters using the VendorID package is

enabled. See also the --vendorid-incdir and --vendorid-libdir options and Deploying Commercial PyQt Applications. -l DIR, --vendorid-incdir=DIR

The header file of the VendorID package can be found in the directory

DIR. -m DIR, --vendorid-libdir=DIR The library of the VendorID package can be found in the directory DIR. -a, --qsci-api The PyQt4.api

QScintilla API file is installed even if QScintilla does

not appear to be installed. This option is implied if the

--qsci-api-destdir option is specified. --no-qsci-api The PyQt4.api

QScintilla API file is not installed even if QScintilla

does appear to be installed. -n DIR, --qsci-api-destdir=DIR The QScintilla API file will be installed in the python

subdirectory of

the api` subdirectory of the directory ``DIR.

2.4Building PyQt

The next step is to build PyQt by running your platforms make

command.

For example: make

The final step is to install PyQt by running the following command:

make install

(Depending on your system you may require root or administrator privileges.)

This will install the various PyQt components.

3Signal and Slot Support

One of the key features of Qt is its use of signals and slots to communicate

between objects. Their use encourages the development of reusable components.

A signal is emitted when a particular event occurs. A slot is a function (in

PyQt a slot is any Python callable). If a signal is connected to a slot

(using the QtCore.QObject.connect()

method) then the slot is called when

the signal is emitted. If a signal isnt connected then nothing happens. The

code (or component) that emits the signal does not know or care if the signal

is being used.

A signal may be connected to many slots.

A signal may also be connected to another signal.

A slot may be connected to many signals.

In PyQt signals are emitted using the QtCore.QObject.emit() method.

Connections may be direct (ie. synchronous) or queued (ie. asynchronous).

Connections may be made across threads.

Signals are disconnected using the QtCore.QObject.disconnect() method.

3.1PyQt Signals and Qt Signals

Qt signals are statically defined as part of a C++ class. They are referenced

using the QtCore.SIGNAL()

function. This method takes a single string

argument that is the name of the signal and its C++ signature. For example: QtCore.SIGNAL("finished(int)")

The returned value is normally passed to the QtCore.QObject.connect() method.

PyQt allows new signals to be defined dynamically. The act of emitting a

PyQt signal implicitly defines it. PyQt v4 signals are also referenced using

the QtCore.SIGNAL() function.

3.2The PyQt_PyObject Signal Argument Type

It is possible to pass any Python object as a signal argument by specifying

PyQt_PyObject as the type of the argument in the signature. For example: QtCore.SIGNAL("finished(PyQt_PyObject)")

While this would normally be used for passing objects like lists and

dictionaries as signal arguments, it can be used for any Python type. Its

advantage when passing, for example, an integer is that the normal conversions

from a Python object to a C++ integer and back again are not required.

The reference count of the object being passed is maintained automatically.

There is no need for the emitter of a signal to keep a reference to the object

after the call to QtCore.QObject.emit(), even if a connection is queued.

3.3Short-circuit Signals

There is also a special form of a PyQt v4 signal known as a short-circuit

signal. Short-circut signals implicitly declare each argument as being of

type PyQt_PyObject.

Short-circuit signals do not have a list of arguments or the surrounding

parentheses.

Short-circuit signals may only be connected to slots that have been implemented

in Python. They cannot be connected to Qt slots or the Python callables that

wrap Qt slots.

3.4PyQt Slots and Qt Slots

Qt slots are statically defined as part of a C++ class. They are referenced

using the QtCore.SLOT()

function. This method takes a single string

argument that is the name of the slot and its C++ signature. For example: QtCore.SLOT("done(int)")

The returned value is normally passed to the QtCore.QObject.connect() method.

PyQt allows any Python callable to be used as a slot, not just Qt slots. This

is done by simply referencing the callable. Because Qt slots are implemented

as class methods they are also available as Python callables. Therefore it is

not usually necessary to use QtCore.SLOT()

for Qt slots. However, doing so

is more efficient as it avoids a conversion to Python and back to C++.

Qt allows a signal to be connected to a slot that requires fewer arguments than

the signal passes. The extra arguments are quietly discarded. PyQt slots can

be used in the same way.

Note that when a slot is a Python callable its reference count is not

increased. This means that a class instance can be deleted without having to

explicitly disconnect any signals connected to its methods. However, if a slot

is a lambda function or a partial function then its reference count is

automatically incremented to prevent it from being immediately garbage

collected.

3.5Connecting Signals and Slots

Connections between signals and slots (and other signals) are made using the

QtCore.QObject.connect() method. For example: QtCore.QObject.connect(a, QtCore.SIGNAL("QtSig()"), pyFunction) QtCore.QObject.connect(a, QtCore.SIGNAL("QtSig()"), pyClass.pyMethod) QtCore.QObject.connect(a, QtCore.SIGNAL("QtSig()"), b, QtCore.SLOT("QtSlot()")) QtCore.QObject.connect(a, QtCore.SIGNAL("PySig()"), b, QtCore.SLOT("QtSlot()")) QtCore.QObject.connect(a, QtCore.SIGNAL("PySig"), pyFunction)

Disconnecting signals works in exactly the same way using the

QtCore.QObject.disconnect()

method. However, not all the variations of

that method are supported by PyQt. Signals must be disconnected one at a

time.

3.6Emitting Signals

Any instance of a class that is derived from the QtCore.QObject

class can

emit a signal using its emit()

method. This takes a minimum of one

argument which is the signal. Any other arguments are passed to the connected

slots as the signal arguments. For example: a.emit(QtCore.SIGNAL("clicked()")) a.emit(QtCore.SIGNAL("pySig"), "Hello", "World")

3.7The QtCore.pyqtSignature() Decorator

Many of Qts features make use of its meta-object system. In order to make

use of these features from Python it is sometimes necessary to make certain

Python objects (i.e. QObject

sub-classes, properties and methods) appear

as C++ objects. In particular it is sometimes necessary to define a C++

function signature that a Python method emulates. PyQt provides the

QtCore.pyqtSignature() function decorator to do this.

The decorator takes a signature argument and an optional result argument. Both are strings.

The signature

is a comma separated list of C++ types representing each of

the arguments. The list may be enclosed in ()

. The list may also be

preceeded by a function name. If the name is given then the ()

must also

be given. If the name is omitted then the name of the Python method being

decorated is used instead.

The result

argument is simply the C++ type of the result. If it is omitted

then it is assumed that no result is returned.

For example:

@QtCore.pyqtSignature("") def foo(self): """ C++: void foo() """ @QtCore.pyqtSignature("int, char *") def foo(self, arg1, arg2): """ C++: void foo(int, char *) """ @QtCore.pyqtSignature("bar(int)") def foo(self, arg1): """ C++: void bar(int) """ @QtCore.pyqtSignature("int", result="int") def foo(self, arg1): """ C++: int foo(int) """

Any method of a class that is a sub-class of QObject

that is decorated is

defined to Qts meta-object system as a slot.

The following sections describe the situations that the decorator might be

used.

3.7.1Integrating Python and JavaScript in QtWebKit

QtWebKit uses slots to expose class methods implemented in C++ as JavaScript

methods that can be called from scripts embedded in HTML. Python class

methods that have been decorated behave in exactly the same way.

In the same way, properties created using QtCore.pyqtProperty()

are also

automatically exposed as JavaScript properties.

3.7.2Using Python Widgets in Qt Designer

Using the decorator is one part of enabling a GUI widget implemented in Python

to be used in Qt Designer in the same way as a widget implemented in C++. See

Writing Qt Designer Plugins for the details.

3.7.3Connecting Slots By Name

PyQt supports the QtCore.QMetaObject.connectSlotsByName()

function that

is most commonly used by pyuic4 generated Python code to automatically

connect signals to slots that conform to a simple naming convention. However,

where a class has overloaded Qt signals (ie. with the same name but with

different arguments) PyQt needs additional information in order to

automatically connect the correct signal.

For example the QtGui.QSpinBox class has the following signals:

void valueChanged(int i); void valueChanged(const QString &text);

When the value of the spin box changes both of these signals will be emitted.

If you have implemented a slot called on_spinbox_valueChanged

(which

assumes that you have given the QSpinBox instance the name spinbox

)

then it will be connected to both variations of the signal. Therefore, when

the user changes the value, your slot will be called twice - once with an

integer argument, and once with a QString argument.

This also happens with signals that take optional arguments. Qt implements

this using multiple signals. For example, QtGui.QAbstractButton

has the

following signal: void clicked(bool checked = false);

Qt implements this as the following:

void clicked(); void clicked(bool checked);

The decorator can be used to specify which of the signals should be connected

to the slot.

For example, if you were only interested in the integer variant of the signal

then your slot definition would look like the following: @QtCore.pyqtSignature("int") def on_spinbox_valueChanged(self, i): # i will be an integer. pass

If you wanted to handle both variants of the signal, but with different Python

methods, then your slot definitions might look like the following: @QtCore.pyqtSignature("on_spinbox_valueChanged(int)") def spinbox_int_value(self, i): # i will be an integer. pass @QtCore.pyqtSignature("on_spinbox_valueChanged(const QString &)") def spinbox_qstring_value(self, qs): # qs will be a QString. pass

The following shows an example using a button when you are not interested in

the optional argument: @QtCore.pyqtSignature("") def on_button_clicked(self): pass

4Python Objects and QVariant

Qt uses the QVariant

class as a wrapper for any C++ data type. PyQt allows

any Python object to be wrapped as a QVariant

and passed around Qts

meta-object system like any other type.

PyQt will try to convert the Python object to a C++ equivalent if it can so

that the QVariant

can be passed to other C++ code that doesnt know what a

Python object is.

PyQt provides the toPyObject() method of QVariant

which will convert

the QVariant

back to a Python object of the correct type. It will raise a

Python exception if it cannot do so.

5Support for Pickling

The following PyQt classes may be pickled.

QByteArray QChar QColor QDate QDateTime QKeySequence QLatin1Char QLatin1String QLine QLineF QMatrix QPoint QPointF QPolygon QRect QRectF QSize QSizeF QString QTime

Also all named enums (QtCore.Qt.Key for example) may be pickled.

6Support for Pythons Buffer Interface

If SIP v4.7.5 or later is used then any Python object that supports the buffer

interface can be used whenever a char or char *

is expected. If the

buffer has multiple segments then all but the first will be ignored.

7Using PyQt from the Python Shell

PyQt installs an input hook (using PyOS_InputHook

) that processes events

when an interactive interpreter is waiting for user input. This means that

you can, for example, create widgets from the Python shell prompt, interact

with them, and still being able to enter other Python commands.

For example, if you enter the following in the Python shell:

>>> from PyQt4 import QtGui >>> a = QtGui.QApplication([]) >>> w = QtGui.QWidget() >>> w.show() >>> w.hide() >>>

The widget would be displayed when w.show()

was entered amd hidden as soon

as w.hide() was entered.

The installation of an input hook can cause problems for certain applications

(particularly those that implement a similar feature using different means).

The QtCore module contains the pyqtRemoveInputHook()

and

pyqtRestoreInputHook()

functions that remove and restore the input hook

respectively.

8Using Qt Designer

Qt Designer is the Qt tool for designing and building graphical user

interfaces. It allows you to design widgets, dialogs or complete main windows

using on-screen forms and a simple drag-and-drop interface. It has the ability

to preview your designs to ensure they work as you intended, and to allow you

to prototype them with your users, before you have to write any code.

Qt Designer uses XML .ui

files to store designs and does not generate any

code itself. Qt includes the uic

utility that generates the C++ code that

creates the user interface. Qt also includes the QUiLoader

class that

allows an application to load a .ui

file and to create the corresponding

user interface dynamically.

PyQt does not wrap the QUiLoader class but instead includes the uic Python module. Like QUiLoader this module can load .ui

files to create

a user interface dynamically. Like the uic

utility it can also generate

the Python code that will create the user interface. PyQts pyuic4 utility is a command line interface to the uic

module. Both are described

in detail in the following sections.

8.1Using the Generated Code

The code that is generated has an identical structure to that generated by Qts

uic and can be used in the same way.

The code is structured as a single class that is derived from the Python

object

type. The name of the class is the name of the toplevel object set

in Designer with Ui_

prepended. (In the C++ version the class is defined

in the Ui namespace.) We refer to this class as the form class.

The class contains a method called setupUi()

. This takes a single argument

which is the widget in which the user interface is created. The type of this

argument (typically QDialog, QWidget or QMainWindow

) is set in

Designer. We refer to this type as the Qt base class.

In the following examples we assume that a .ui

file has been created

containing a dialog and the name of the QDialog object is ImageDialog

.

We also assume that the name of the file containing the generated Python code

is ui_imagedialog.py

. The generated code can then be used in a number of

ways.

The first example shows the direct approach where we simply create a simple

application to create the dialog: import sys from PyQt4 import QtGui from ui_imagedialog import Ui_ImageDialog app = QtGui.QApplication(sys.argv) window = QtGui.QDialog() ui = Ui_ImageDialog() ui.setupUi(window) window.show() sys.exit(app.exec_())

The second example shows the single inheritance approach where we sub-class

QDialog and set up the user interface in the __init__() method: from PyQt4 import QtCore, QtGui from ui_imagedialog import Ui_ImageDialog class ImageDialog(QtGui.QDialog): def __init__(self): QtGui.QDialog.__init__(self) # Set up the user interface from Designer. self.ui = Ui_ImageDialog() self.ui.setupUi(self) # Make some local modifications. self.ui.colorDepthCombo.addItem("2 colors (1 bit per pixel)") # Connect up the buttons. self.connect(self.ui.okButton, QtCore.SIGNAL("clicked()"), self, QtCore.SLOT("accept()")) self.connect(self.ui.cancelButton, QtCore.SIGNAL("clicked()"), self, QtCore.SLOT("reject()"))

The third example shows the multiple inheritance approach:

from PyQt4 import QtCore, QtGui from ui_imagedialog import Ui_ImageDialog class ImageDialog(QtGui.QDialog, Ui_ImageDialog): def __init__(self): QtGui.QDialog.__init__(self) # Set up the user interface from Designer. self.setupUi(self) # Make some local modifications. self.colorDepthCombo.addItem("2 colors (1 bit per pixel)") # Connect up the buttons. self.connect(self.okButton, QtCore.SIGNAL("clicked()"), self, QtCore.SLOT("accept()")) self.connect(self.cancelButton, QtCore.SIGNAL("clicked()"), self, QtCore.SLOT("reject()"))

It is also possible to use the same approach used in PyQt v3. This is shown in

the final example: from PyQt4 import QtCore, QtGui from ui_imagedialog import ImageDialog class MyImageDialog(ImageDialog): def __init__(self): ImageDialog.__init__(self) # Make some local modifications. self.colorDepthCombo.addItem("2 colors (1 bit per pixel)") # Connect up the buttons. self.connect(self.okButton, QtCore.SIGNAL("clicked()"), self, QtCore.SLOT("accept()")) self.connect(self.cancelButton, QtCore.SIGNAL("clicked()"), self, QtCore.SLOT("reject()"))

For a full description see the Qt Designer Manual in the Qt Documentation.

8.2The uic Module

The uic module contains the following functions.

compileUi(uifile, pyfile, execute=False, indent=4, pyqt3_wrapper=False)

This function generates the Python code that will create a user interface

from a Qt Designer .ui file.

uifile is a file name or file-like object containing the .ui file.

pyfile

is the file-like object to which the generated Python code will

be written to.

execute

is optionally set if a small amount of additional code is to be

generated that will display the user interface if the code is run as a

standalone application.

indent

is the optional number of spaces used for indentation in the

generated code. If it is zero then a tab character is used instead.

pyqt3_wrapper

is optionally set if a small wrapper is to be generated

that allows the generated code to be used as it is by PyQt v3 applications. loadUiType(uifile)

This function loads a Qt Designer .ui

file and returns a tuple of the

generated form class and the Qt base class. These can then be used to

create any number of instances of the user interface without having to

parse the .ui file more than once.

uifile is a file name or file-like object containing the .ui file.

loadUi(uifile, baseinstance=None)

This function loads a Qt Designer .ui

file and returns an instance of

the user interface.

uifile is a file name or file-like object containing the .ui file.

baseinstance

is an optional instance of the Qt base class. If

specified then the user interface is created in it. Otherwise a new

instance of the base class is automatically created.

8.3pyuic4

The pyuic4 utility is a command line interface to the uic

module. The

command has the following syntax: pyuic4 [options] .ui-file

The full set of command line options is:

-h, --help A help message is written to stdout. --version The version number is written to stdout. -i N, --indent=N

The Python code is generated using an indentation of N

spaces. If N is 0 then a tab is used. The default is

4. -o FILE, --output=FILE The Python code generated is written to the file FILE. -p, --preview

The GUI is created dynamically and displayed. No

Python code is generated. -w, --pyqt3-wrapper

The generated Python code includes a small wrapper that

allows the GUI to be used in the same way as it is used

in PyQt v3. -x, --execute

The generated Python code includes a small amount of

additional code that creates and displays the GUI when

it is executes as a standalone application.

8.4Writing Qt Designer Plugins

Qt Designer can be extended by writing plugins. Normally this is done using

C++ but PyQt also allows you to write plugins in Python. Most of the time a

plugin is used to expose a custom widget to Designer so that it appears in

Designers widget box just like any other widget. It is possibe to change the

widgets properties and to connect its signals and slots.

It is also possible to add new functionality to Designer. See the Qt

documentation for the full details. Here we will concentrate on describing

how to write custom widgets in Python.

The process of integrating Python custom widgets with Designer is very similar

to that used with widget written using C++. However, there are particular

issues that have to be addressed.

Designer needs to have a C++ plugin that conforms to the interface

defined by the QDesignerCustomWidgetInterface

class. (If the plugin

exposes more than one custom widget then it must conform to the

interface defined by the QDesignerCustomWidgetCollectionInterface class.) In addition the plugin class must sub-class QObject

as well

as the interface class. PyQt does not allow Python classes to be

sub-classed from more than one Qt class. Designer can only connect Qt signals and slots. It has no understanding

of Python signals or callables. Designer can only edit Qt properties that represent C++ types. It has no

understanding of Python attributes or Python types.

PyQt provides the following components and features to resolve these issues as

simply as possible.

PyQts QtDesigner module includes additional classes (all of which have a

QPy

prefix) that are already sub-classed from the necessary Qt

classes. This avoids the need to sub-class from more than one Qt class

in Python. For example, where a C++ custom widget plugin would sub-class

from QObject and QDesignerCustomWidgetInterface

, a Python custom

widget plugin would instead sub-class from

QPyDesignerCustomWidgetPlugin.

PyQt installs a C++ plugin in Designers plugin directory. It conforms

to the interface defined by the

QDesignerCustomWidgetCollectionInterface

class. It searches a

configurable set of directories looking for Python plugins that

implement a class sub-classed from QPyDesignerCustomWidgetPlugin

.

Each class that is found is instantiated and the instance created is

added to the custom widget collection.

The PYQTDESIGNERPATH

environment variable specifies the set of

directories to search for plugins. Directory names are separated by a

path separator (a semi-colon on Windows and a colon on other platforms).

If a directory name is empty (ie. there are consecutive path separators

or a leading or trailing path separator) then a set of default

directories is automatically inserted at that point. The default

directories are the python

subdirectory of each directory that

Designer searches for its own plugins. If the environment variable is

not set then only the default directories are searched. If a files

basename does not end with plugin then it is ignored.

A Python custom widget may define new Qt signals using the

__pyqtSignals__

class attribute. This should define a sequence of

strings each of which is the C++ signature (but excluding the return

type) of the signal. For example: __pyqtSignals__ = ("nameChanged(const QString &)", "failed()")

A Python class method may be defined as a new Qt slot by using the

QtCore.pyqtSignature decorator. For example: # Define a Qt slot that takes a C++ integer argument. @QtCore.pyqtSignature("addToTotal(int)") def add_int_to_total(self, value): pass # Define a similar slot that takes its name from the method. @QtCore.pyqtSignature("int") def addToTotal(self, value): pass

A new Qt property may be defined using the QtCore.pyqtProperty()

function. It is used in the same way as the standard Python

property()

function. In fact, Qt properties defined in this way

also behave as Python properties. The full signature of the function is

as follows: pyqtProperty(type, fget=None, fset=None, freset=None, fdel=None, doc=None, designable=True, scriptable=True, stored=True, user=False)

type

is a string that defines the C++ type of the property.

freset

is a function used to reset the value of the property to its

default value.

designable

sets the Qt DESIGNABLE flag.

scriptable

sets the Qt SCRIPTABLE flag.

stored

sets the Qt STORED flag.

user sets the Qt USER flag.

The remaining arguments are the same as those used by the standard

property() function.

Qt makes no use of the fdel

function and Python makes no use of the

freset function, or the designable, scriptable, stored and user flags.

Note that the ability to define new Qt signals, slots and properties from

Python is potentially useful to plugins conforming to any plugin interface and

not just that used by Designer.

For a simple but complete and fully documented example of a custom widget that

defines new Qt signals, slots and properties, and its plugin, look in the

examples/designer/plugins

directory of the PyQt source package. The

widgets subdirectory contains the pydemo.py

custom widget and the

python subdirectory contains its pydemoplugin.py plugin.

9The PyQt Resource System

PyQt supports Qts resource system. This is a facility for embedding

resources such as icons and translation files in an application. This makes

the packaging and distribution of those resources much easier.

A .qrc

resource collection file is an XML file used to specify which

resource files are to be embedded. The application then refers to the resource

files by their original names but preceded by a colon.

For a full description, including the format of the .qrc

files, see the Qt

Resource System in the Qt documentation.

9.1pyrcc4

pyrcc4 is PyQts equivalent to Qts rcc

utility and is used in exactly

the same way. pyrcc4 reads the .qrc

file, and the resource files, and

generates a Python module that only needs to be import

ed by the

application in order for those resources to be made available just as if they

were the original files.

pyrcc4 will only be included if your copy of Qt includes the XML module.

10Internationalisation of PyQt Applications

PyQt and Qt include a comprehensive set of tools for translating applications

into local languages. For a full description, see the Qt Linguist Manual in

the Qt documentation.

The process of internationalising an application comprises the following

steps. The programmer uses pylupdate4 to create or update a .ts

translation file for each language that the application is to be

translated into. A .ts

file is an XML file that contains the strings

to be translated and the corresponding translations that have already

been made. pylupdate4 can be run any number of times during

development to update the .ts

files with the latest strings for

translation. The translator uses Qt Linguist to update the .ts

files with

translations of the strings. The release manager then uses Qts lrelease

utility to convert the

.ts files to .qm

files which are compact binary equivalents used

by the application. If an application cannot find an appropriate .qm

file, or a particular string hasnt been translated, then the strings

used in the original source code are used instead. The release manage may optionally use pyrcc4 to embed the .qm

files, along with other application resources such as icons, in a Python

module. This may make packaging and distribution of the application

easier.

10.1pylupdate4

pylupdate4 is PyQts equivalent to Qts lupdate

utility and is used in

exactly the same way. A Qt .pro

project file is read that specifies the

Python source files and Qt Designer interface files from which the text that

needs to be translated is extracted. The .pro

file also specifies the

.ts translation files that pylupdate4

updates (or creates if necessary)

and are subsequently used by Qt Linguist.

pylupdate4 will only be included if your copy of Qt includes the XML module.

10.2Differences Between PyQt and Qt

Qt implements internationalisation support through the QTranslator

class,

and the QCoreApplication::translate(), QObject::tr()

and

QObject::trUtf8() methods. Usually the tr()

method is used to obtain

the correct translation of a message. The translation process uses a message

context to allow the same message to be translated differently. tr()

is

actually generated by moc

and uses the hardcoded class name as the context.

On the other hand, QApplication::translate()

allows the context to be

explicitly stated.

Unfortunately, because of the way Qt implements tr() (and trUtf8()

) it

is not possible for PyQt to exactly reproduce its behaviour. The PyQt

implementation of tr() (and trUtf8()

) uses the class name of the

instance as the context. The key difference, and the source of potential

problems, is that the context is determined dynamically in PyQt, but is

hardcoded in Qt. In other words, the context of a translation may change

depending on an instances class hierarchy. For example: class A(QtCore.QObject): def hello(self): return self.tr("Hello") class B(A): pass a = A() a.hello() b = B() b.hello()

In the above the message is translated by a.hello()

using a context of

A, and by b.hello() using a context of B

. In the equivalent C++

version the context would be A in both cases.

The PyQt behaviour is unsatisfactory and may be changed in the future. It is

recommended that QCoreApplication.translate()

be used in preference to

tr() (and trUtf8()

). This is guaranteed to work with current and

future versions of PyQt and makes it much easier to share message files

between Python and C++ code. Below is the alternative implementation of A that uses QCoreApplication.translate(): class A(QtCore.QObject): def hello(self): return QtCore.QCoreApplication.translate("A", "Hello")

11The DBus Support Module

The DBus support module is installed as dbus.mainloop.qt

and provides

support for the Qt event loop to the standard dbus-python

language

bindings package. The modules API is almost identical to that of the

dbus.mainloop.glib modules that provides support for the GLib event loop.

The dbus.mainloop.qt module contains the following function.

DBusQtMainLoop(set_as_default=False)

This function returns a dbus.mainloop.NativeMainLoop

object that

uses the the Qt event loop.

set_as_default

is set to make the main loop instance the default for

all new Connection and Bus instances. It may only be specified as a

keyword argument, and not as a positional argument.

The following code fragment is all that is normally needed to set up the

standard dbus-python language bindings package to be used with PyQt: import dbus.mainloop.qt dbus.mainloop.qt.DBusQtMainLoop(set_as_default=True)

12Things to be Aware Of

12.1Python Strings, Qt Strings and Unicode

Unicode support was added to Qt in v2.0 and to Python in v1.6. In Qt, Unicode

support is implemented using the QString

class. It is important to

understand that QString

instances, Python string objects and Python Unicode

objects are all different but conversions between them are automatic in almost

all cases and easy to achieve manually when needed.

Whenever PyQt expects a QString

as a function argument, a Python string

object or a Python Unicode object can be provided instead, and PyQt will do

the necessary conversion automatically.

You may also manually convert Python string and Unicode objects to QString instances by using the QString

constructor as demonstrated in the following

code fragment: qs1 = QtCore.QString("Converted Python string object") qs2 = QtCore.QString(u"Converted Python Unicode object")

In order to convert a QString

to a Python string object use the Python

str() builtin. Applying str() to a null QString

and an empty

QString both result in an empty Python string object.

In order to convert a QString

to a Python Unicode object use the Python

unicode() builtin. Applying unicode() to a null QString

and an

empty QString both result in an empty Python Unicode object.

QString

also implements Pythons buffer protocol which means that a

QString

can be used in many places where a Python string or Unicode object

is expected without being explicitly converted.

12.2Garbage Collection

C++ does not garbage collect unreferenced class instances, whereas Python does.

In the following C++ fragment both colours exist even though the first can no

longer be referenced from within the program: col = new QColor(); col = new QColor();

In the corresponding Python fragment, the first colour is destroyed when the

second is assigned to col: col = QtGui.QColor() col = QtGui.QColor()

In Python, each colour must be assigned to different names. Typically this is

done within class definitions, so the code fragment would be something like: self.col1 = QtGui.QColor() self.col2 = QtGui.QColor()

Sometimes a Qt class instance will maintain a pointer to another instance and

will eventually call the destructor of that second instance. The most common

example is that a QObject

(and any of its sub-classes) keeps pointers to

its children and will automatically call their destructors. In these cases,

the corresponding Python object will also keep a reference to the corresponding

child objects.

So, in the following Python fragment, the first QLabel

is not destroyed

when the second is assigned to lab because the parent QWidget

still has

a reference to it: parent = QtGui.QWidget() lab = QtGui.QLabel("First label", parent) lab = QtGui.QLabel("Second label", parent)

12.3Multiple Inheritance

It is not possible to define a new Python class that sub-classes from more than

one Qt class.

12.4Access to Protected Member Functions

When an instance of a C++ class is not created from Python it is not possible

to access the protected member functions, or emit any signals, of that

instance. Attempts to do so will raise a Python exception. Also, any Python

methods corresponding to the instances virtual member functions will never be

called.

12.5None and NULL

Throughout PyQt, the None value can be specified wherever NULL

is

acceptable to the underlying C++ code.

Equally, NULL is converted to None

whenever it is returned by the

underlying C++ code.

12.6Support for void *

PyQt (actually SIP) represents void *

values as objects of type

sip.voidptr

. Such values are often used to pass the addresses of external

objects between different Python modules. To make this easier, a Python

integer (or anything that Python can convert to an integer) can be used

whenever a sip.voidptr is expected.

A sip.voidptr may be converted to a Python integer by using the int() builtin function.

A sip.voidptr

may be converted to a Python string by using its

asstring() method. The asstring()

method takes an optional integer

argument which is the length of the data in bytes.

A sip.voidptr

may also be given a size (ie. the size of the block of

memory that is pointed to) by calling its setsize()

method. If it has a

size then it is also able to support Pythons buffer protocol. This means

that it can be wrapped using Pythons buffer()

builtin to create an object

that treats the block of memory as a mutable list of bytes. It also means

that the Python struct

module can be used to unpack and pack binary data

structures in memory, memory mapped files or shared memory.

12.7super and PyQt Classes

Internally PyQt implements a lazy technique for attribute lookup where

attributes are only placed in type and instance dictionaries when they are

first referenced. This technique is needed to reduce the time taken to import

large modules such as PyQt.

In most circumstances this technique is transparent to an application. The

exception is when super is used with a PyQt class. The way that super

is currently implemented means that the lazy lookup is bypassed resulting in

AttributeError

exceptions unless the attribute has been previously

referenced.

Note that this restriction applies to any class wrapped by SIP and not just

PyQt.

13Deploying Commercial PyQt Applications

When deploying commercial PyQt applications it is necessary to discourage

users from accessing the underlying PyQt modules for themselves. A user that

used the modules shipped with your application to develop new applications

would themselves be considered a developer and would need their own commercial

Qt and PyQt licenses.

One solution to this problem is the VendorID package. This allows

you to build Python extension modules that can only be imported by a digitally

signed custom interpreter. The package enables you to create such an

interpreter with your application embedded within it. The result is an

interpreter that can only run your application, and PyQt modules that can only

be imported by that interpreter. You can use the package to similarly restrict

access to any extension module.

In order to build PyQt with support for the VendorID package, pass the -i command line flag to configure.py.

14The PyQt Build System

The PyQt build system is an extension of the SIP build system and is

implemented by the pyqtconfig module, part of the PyQt4

package. It

can be used by configuration scripts of other bindings that build on top of

PyQt and takes care of the details of the Qt installation.

The module contains a number of classes.

14.1pyqtconfig Classes

Configuration(sipconfig.Configuration)

This class encapsulates configuration values that can be accessed as

instance objects.

The following configuration values are provided in addition to those

provided by the super-class: pyqt_bin_dir The name of the directory where the PyQt utilities are installed. pyqt_config_args The command line passed to configure.py

when PyQt was

configured. pyqt_mod_dir The name of the directory where the PyQt4

Python package is

installed. pyqt_modules A space separated string of installed PyQt modules. The Qt module is not included. pyqt_sip_dir The name of the base directory where PyQts .sip

files are

installed. Each modules .sip

files are installed in a

sub-directory with the same name as the module. pyqt_sip_flags A space separated string of the sip

command line arguments used

to build the PyQt modules. These should also be used when

building bindings that %Import

any PyQt modules. pyqt_version The PyQt version as a 3 part hexadecimal number (e.g. v4.0.1 is

represented as 0x040001

). pyqt_version_str The PyQt version as a string. For development snapshots it will

start with snapshot-. qt_data_dir The value of QLibraryInfo::location(DataPath)

for the Qt

installation. qt_dir The root directory of the Qt installation (normally the directory

that contains the bin directory). qt_edition The Qt edition. qt_framework Set if Qt is built as a MacOS/X framework. qt_inc_dir The value of QLibraryInfo::location(HeadersPath)

for the Qt

installation. qt_lib_dir The value of QLibraryInfo::location(LibrariesPath)

for the Qt

installation. qt_threaded Set if Qt is built with thread support (always set for PyQt). qt_version The Qt version as a 3 part hexadecimal number (e.g. v4.1.2 is

represented as 0x040102). qt_winconfig Additional Windows specific configuration. __init__(self, sub_cfg=None)

Initialise the instance.

sub_cfg

is an optional list of sub-class configurations. It should

only be used by the __init__()

method of a sub-class to append its

own dictionary of configuration values before passing the list to its

super-class.

QtAssistantModuleMakefile(QtNetworkModuleMakefile) This class encapsulates a Makefile to build a SIP generated Python

extension module that is built on the PyQt QtAssistant

module. QAxContainerModuleMakefile(QtGuiModuleMakefile) This class encapsulates a Makefile to build a SIP generated Python

extension module that is built on the PyQt QAxContainer

module. QtCoreModuleMakefile(sipconfig.SIPModuleMakefile) This class encapsulates a Makefile to build a SIP generated Python

extension module that is built on the PyQt QtCore

module. QtHelpModuleMakefile(QtGuiModuleMakefile) This class encapsulates a Makefile to build a SIP generated Python

extension module that is built on the PyQt QtHelp

module. QtGuiModuleMakefile(QtCoreModuleMakefile) This class encapsulates a Makefile to build a SIP generated Python

extension module that is built on the PyQt QtGui

module. QtNetworkModuleMakefile(QtCoreModuleMakefile) This class encapsulates a Makefile to build a SIP generated Python

extension module that is built on the PyQt QtNetwork

module. QtOpenGLModuleMakefile(QtGuiModuleMakefile) This class encapsulates a Makefile to build a SIP generated Python

extension module that is built on the PyQt QtOpenGL

module. QtScriptModuleMakefile(QtCoreModuleMakefile) This class encapsulates a Makefile to build a SIP generated Python

extension module that is built on the PyQt QtScript

module. QtSqlModuleMakefile(QtGuiModuleMakefile) This class encapsulates a Makefile to build a SIP generated Python

extension module that is built on the PyQt QtSql

module. QtSvgModuleMakefile(QtGuiModuleMakefile) This class encapsulates a Makefile to build a SIP generated Python

extension module that is built on the PyQt QtSvg

module. QtTestModuleMakefile(QtCoreModuleMakefile) This class encapsulates a Makefile to build a SIP generated Python

extension module that is built on the PyQt QtTest

module. QtWebKitModuleMakefile(QtNetworkModuleMakefile) This class encapsulates a Makefile to build a SIP generated Python

extension module that is built on the PyQt QtWebKit

module. QtXmlModuleMakefile(QtCoreModuleMakefile) This class encapsulates a Makefile to build a SIP generated Python

extension module that is built on the PyQt QtXml

module. QtXmlPatternsModuleMakefile(QtCoreModuleMakefile) This class encapsulates a Makefile to build a SIP generated Python

extension module that is built on the PyQt QtXmlPatterns

module. phononModuleMakefile(QtGuiModuleMakefile) This class encapsulates a Makefile to build a SIP generated Python

extension module that is built on the PyQt phonon module.
The QtCore

module. This contains the core non-GUI classes, including

the event loop and Qts signal and slot mechanism. It also includes

platform independent abstractions for Unicode, threads, mapped files,

shared memory, regular expressions, and user and application settings. The QtGui module. This contains the majority of the GUI classes. The QtHelp

module. This contains classes for creating and viewing

searchable documentation. The QtNetwork

module. This module contains classes for writing UDP

and TCP clients and servers. It includes classes that implement FTP and

HTTP clients and support DNS lookups. The QtOpenGL

module. This module contains classes that enable the

use of OpenGL in rendering 3D graphics in PyQt applications. The QtScript

module. This module contains classes that enable PyQt

applications to be scripted using Qts JavaScript interpreter. The QtSql

module. This module contains classes that integrate with

SQL databases. It includes editable data models for database tables that

can be used with GUI classes. It also includes an implementation of

SQLite. The QtSvg

module. This module contains classes for displaying the

contents of SVG files. The QtTest

module. This module contains functions that enable unit

testing of PyQt applications. (PyQt does not implement the complete Qt

unit test framework. Instead it assumes that the standard Python unit

test framework will be used and implements those functions that simulate

a user interacting with a GUI.) The QtWebKit

module. This module implements a web browser engine

based on the WebKit open source browser engine. The QtXml

module. This module contains classes that implement SAX

and DOM interfaces to Qts XML parser. The QtXmlPatterns

module. This module contains classes that

implement XQuery and XPath support for XML and custom data models. The phonon

module. This module contains classes that

implement a cross-platform multimedia framework that enables the use of

audio and video content in PyQt applications. The QtAssistant

module. This module contains classes that allow Qt

Assistant to be integrated with a PyQt application to provide online

help. The QtDesigner

module. This module contains classes that allow Qt

Designer to be extended using PyQt. See Writing Qt Designer Plugins

for a full description of how to do this. The QAxContainer

module. This module contains classes that allow

access to ActiveX controls and COM objects. It is only available in the

commercial version of PyQt for Windows. The Qt

module. This module consolidates the classes contained in all

of the modules described above into a single module. This has the

advantage that you dont have to worry about which underlying module

contains a particular class. It has the disadvantage that it loads the

whole of the Qt framework, thereby increasing the memory footprint of an

application. Whether you use this consolidated module, or the individual

component modules is down to personal taste. The DBus support

module is installed as dbus.mainloop.qt

. PyQt does not support Qts

native DBus classes (which are very C++ orientated). Instead the

dbus.mainloop.qt

module provides support for the Qt event loop in the

same way that the dbus.mainloop.glib

included with the standard

dbus-python

bindings package provides support for the GLib event

loop. The API is described in The DBus Support Module. It is only

available for PyQt for X11 and only if the dbus-python

v0.80 (or

later) bindings package is installed. The uic

module. This module contains classes for handling the

.ui

files created by Qt Designer that describe the whole or part of a

graphical user interface. It includes classes that load a .ui

file

and render it directly, and classes that generate Python code from a

.ui

file for later execution. It is covered in detail in The uic

Module. The pyqtconfig

module is an extention of the SIP build system and is

created when PyQt is configured. It encapsulates all the necessary

information about your Qt installation and makes it easier to write

installation scripts for bindings built on top of PyQt. It is covered

in detail in The PyQt Build System. pyuic4 corresponds to the Qt uic

utility. It converts GUIs

created using Qt Designer to Python code. It is covered in detail in

pyuic4. pyrcc4 corresponds to the Qt rcc

utility. It embeds arbitrary

resources (eg. icons, images, translation files) described by a resource

collection file in a Python module. It is covered in detail in

pyrcc4. (Note It will only be included if your copy of Qt includes

the XML module.) pylupdate4 corresponds to the Qt lupdate

utility. It extracts

all of the translatable strings from Python code and creates or updates

.ts

translation files. These are then used by Qt Linguist to manage

the translation of those strings. It is covered in detail in

pylupdate4. (Note It will only be included if your copy of Qt

includes the XML module.) QByteArray QChar QColor QDate QDateTime QKeySequence QLatin1Char QLatin1String QLine QLineF QMatrix QPoint QPointF QPolygon QRect QRectF QSize QSizeF QString QTime Designer needs to have a C++ plugin that conforms to the interface

defined by the QDesignerCustomWidgetInterface

class. (If the plugin

exposes more than one custom widget then it must conform to the

interface defined by the QDesignerCustomWidgetCollectionInterface class.) In addition the plugin class must sub-class QObject

as well

as the interface class. PyQt does not allow Python classes to be

sub-classed from more than one Qt class. Designer can only connect Qt signals and slots. It has no understanding

of Python signals or callables. Designer can only edit Qt properties that represent C++ types. It has no

understanding of Python attributes or Python types.

PyQts QtDesigner module includes additional classes (all of which have a

QPy

prefix) that are already sub-classed from the necessary Qt

classes. This avoids the need to sub-class from more than one Qt class

in Python. For example, where a C++ custom widget plugin would sub-class

from QObject and QDesignerCustomWidgetInterface

, a Python custom

widget plugin would instead sub-class from

QPyDesignerCustomWidgetPlugin.

PyQt installs a C++ plugin in Designers plugin directory. It conforms

to the interface defined by the

QDesignerCustomWidgetCollectionInterface

class. It searches a

configurable set of directories looking for Python plugins that

implement a class sub-classed from QPyDesignerCustomWidgetPlugin

.

Each class that is found is instantiated and the instance created is

added to the custom widget collection.

The PYQTDESIGNERPATH

environment variable specifies the set of

directories to search for plugins. Directory names are separated by a

path separator (a semi-colon on Windows and a colon on other platforms).

If a directory name is empty (ie. there are consecutive path separators

or a leading or trailing path separator) then a set of default

directories is automatically inserted at that point. The default

directories are the python

subdirectory of each directory that

Designer searches for its own plugins. If the environment variable is

not set then only the default directories are searched. If a files

basename does not end with plugin then it is ignored.

A Python custom widget may define new Qt signals using the

__pyqtSignals__

class attribute. This should define a sequence of

strings each of which is the C++ signature (but excluding the return

type) of the signal. For example: __pyqtSignals__ = ("nameChanged(const QString &)", "failed()")

A Python class method may be defined as a new Qt slot by using the

QtCore.pyqtSignature decorator. For example: # Define a Qt slot that takes a C++ integer argument. @QtCore.pyqtSignature("addToTotal(int)") def add_int_to_total(self, value): pass # Define a similar slot that takes its name from the method. @QtCore.pyqtSignature("int") def addToTotal(self, value): pass

A new Qt property may be defined using the QtCore.pyqtProperty()

function. It is used in the same way as the standard Python

property()

function. In fact, Qt properties defined in this way

also behave as Python properties. The full signature of the function is

as follows: pyqtProperty(type, fget=None, fset=None, freset=None, fdel=None, doc=None, designable=True, scriptable=True, stored=True, user=False)

type

is a string that defines the C++ type of the property.

freset

is a function used to reset the value of the property to its

default value.

designable

sets the Qt DESIGNABLE flag.

scriptable

sets the Qt SCRIPTABLE flag.

stored

sets the Qt STORED flag.

user sets the Qt USER flag.

The remaining arguments are the same as those used by the standard

property() function.

Qt makes no use of the fdel

function and Python makes no use of the

freset function, or the designable, scriptable, stored and user flags. The programmer uses pylupdate4 to create or update a .ts

translation file for each language that the application is to be

translated into. A .ts

file is an XML file that contains the strings

to be translated and the corresponding translations that have already

been made. pylupdate4 can be run any number of times during

development to update the .ts

files with the latest strings for

translation. The translator uses Qt Linguist to update the .ts

files with

translations of the strings. The release manager then uses Qts lrelease

utility to convert the

.ts files to .qm

files which are compact binary equivalents used

by the application. If an application cannot find an appropriate .qm

file, or a particular string hasnt been translated, then the strings

used in the original source code are used instead. The release manage may optionally use pyrcc4 to embed the .qm

files, along with other application resources such as icons, in a Python

module. This may make packaging and distribution of the application

easier. pyqt_bin_dir The name of the directory where the PyQt utilities are installed. pyqt_config_args The command line passed to configure.py

when PyQt was

configured. pyqt_mod_dir The name of the directory where the PyQt4

Python package is

installed. pyqt_modules A space separated string of installed PyQt modules. The Qt module is not included. pyqt_sip_dir The name of the base directory where PyQts .sip

files are

installed. Each modules .sip

files are installed in a

sub-directory with the same name as the module. pyqt_sip_flags A space separated string of the sip

command line arguments used

to build the PyQt modules. These should also be used when

building bindings that %Import

any PyQt modules. pyqt_version The PyQt version as a 3 part hexadecimal number (e.g. v4.0.1 is

represented as 0x040001

). pyqt_version_str The PyQt version as a string. For development snapshots it will

start with snapshot-. qt_data_dir The value of QLibraryInfo::location(DataPath)

for the Qt

installation. qt_dir The root directory of the Qt installation (normally the directory

that contains the bin directory). qt_edition The Qt edition. qt_framework Set if Qt is built as a MacOS/X framework. qt_inc_dir The value of QLibraryInfo::location(HeadersPath)

for the Qt

installation. qt_lib_dir The value of QLibraryInfo::location(LibrariesPath)

for the Qt

installation. qt_threaded Set if Qt is built with thread support (always set for PyQt). qt_version The Qt version as a 3 part hexadecimal number (e.g. v4.1.2 is

represented as 0x040102). qt_winconfig Additional Windows specific configuration.
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