Integrating Python and QML¶
Qt includes QML as a means of declaratively describing a user interface and using JavaScript as a scripting language within it. It is possible to write complete standalone QML applications, or to combine them with C++. PyQt5 allows QML to be integrated with Python in exactly the same way. In particular:
- Python types that are sub-classed from
QObject
can be registered with QML. - Instances of registered Python types can be created and made available to QML scripts.
- Instances of registered Python types can be created by QML scripts.
- Singleton instances of registered Python types can be created automatically by a QML engine and made available to QML scripts.
- QML scripts interact with Python objects through their properties, signals and slots.
- Python properties, signals and slots can be given revision numbers that only those implemented by a specific version are made available to QML.
Registering Python Types¶
Registering Python types with QML is done in the same way is it is done with
C++ classes, i.e. using the qmlRegisterType()
,
qmlRegisterSingletonType()
,
qmlRegisterUncreatableType()
and
qmlRegisterRevision()
functions.
In C++ these are template based functions that take the C++ class, and sometimes a revision, as template arguments. In the Python implementation these are simply passed as the first arguments to the respective functions.
A Simple Example¶
The following simple example demonstates the implementation of a Python class that is registered with QML. The class defines two properties. A QML script is executed which creates an instance of the class and sets the values of the properties. That instance is then returned to Python which then prints the values of those properties.
Hopefully the comments are self explanatory:
import sys
from PyQt5.QtCore import pyqtProperty, QCoreApplication, QObject, QUrl
from PyQt5.QtQml import qmlRegisterType, QQmlComponent, QQmlEngine
# This is the type that will be registered with QML. It must be a
# sub-class of QObject.
class Person(QObject):
def __init__(self, parent=None):
super().__init__(parent)
# Initialise the value of the properties.
self._name = ''
self._shoeSize = 0
# Define the getter of the 'name' property. The C++ type of the
# property is QString which Python will convert to and from a string.
@pyqtProperty('QString')
def name(self):
return self._name
# Define the setter of the 'name' property.
@name.setter
def name(self, name):
self._name = name
# Define the getter of the 'shoeSize' property. The C++ type and
# Python type of the property is int.
@pyqtProperty(int)
def shoeSize(self):
return self._shoeSize
# Define the setter of the 'shoeSize' property.
@shoeSize.setter
def shoeSize(self, shoeSize):
self._shoeSize = shoeSize
# Create the application instance.
app = QCoreApplication(sys.argv)
# Register the Python type. Its URI is 'People', it's v1.0 and the type
# will be called 'Person' in QML.
qmlRegisterType(Person, 'People', 1, 0, 'Person')
# Create a QML engine.
engine = QQmlEngine()
# Create a component factory and load the QML script.
component = QQmlComponent(engine)
component.loadUrl(QUrl('example.qml'))
# Create an instance of the component.
person = component.create()
if person is not None:
# Print the value of the properties.
print("The person's name is %s." % person.name)
print("They wear a size %d shoe." % person.shoeSize)
else:
# Print all errors that occurred.
for error in component.errors():
print(error.toString())
The following is the example.qml
QML script that is executed:
import People 1.0
Person {
name: "Bob Jones"
shoeSize: 12
}
Using QQmlListProperty
¶
Defining list-based properties in Python that can be updated from QML is done
using the QQmlListProperty
class. However the way it is
used in Python is slightly different to the way it is used in C++.
In the simple case QQmlListProperty
wraps a Python list
that is usually an instance sttribute, for example:
class BirthdayParty(QObject):
def __init__(self, parent=None):
super().__init__(parent)
# The list which will be accessible from QML.
self._guests = []
@pyqtProperty(QQmlListProperty)
def guests(self):
return QQmlListProperty(Person, self, self._guests)
QML can now manipulate the Python list of Person
instances.
QQmlListProperty
also acts as a proxy for the Python list
so that the following can be written:
for guest in party.guests:
print("Guest:", guest.name)
QQmlListProperty
can also be used to wrap a virtual
list. The following code fragment is taken from the
chapter5-listproperties.py
example included with PyQt5:
class PieChart(QQuickItem):
@pyqtProperty(QQmlListProperty)
def slices(self):
return QQmlListProperty(PieSlice, self,
append=lambda pie_ch, pie_sl: pie_sl.setParentItem(pie_ch))
PieChart
and PieSlice
are Quick items that are registered using
qmlRegisterType()
. Instances of both can be created from
QML. slices
is a property of PieChart
that, as far as QML is
concerned, is a list of PieSlice
instances.
The pyqtProperty()
decorator specifies that the property is
a QQmlListProperty
, that its name is slices
and that
the slices()
function is its getter.
The getter returns an instance of QQmlListProperty
. This
specifies that elements of the list should be of type PieSlice
, that the
PieChart
instance (i.e. self
) has the property, and defines the
callable that will be invoked in order to append a new element to the list.
The append
callable is passed two arguments: the object whose property is
to be updated (i.e. the PyChart
instance), and the element to be appended
(i.e. a PieSlice
instance). Here we simply set the chart as the slice's
parent item. Note that there isn't actually a list anywhere - this is because,
in this particular example, one isn't needed.
The signature of the append
callable is slightly different to that of the
corresponding C++ function. In C++ the first argument is the
QQmlListProperty
instance rather than the PyChart
instance. The signatures of the at
, clear
and count
callables are
different in the same way.
Using Attached Properties¶
In order to use attached properties in C++, three steps need to be taken.
- A type that has attached properties must implement a static function called
qmlAttachedProperties
. This is a factory that creates an instance of the properties object to attach. - A type that has attached properties needs to be defined as such using the
QML_DECLARE_TYPEINFO
macro with theQML_HAS_ATTACHED_PROPERTIES
argument. - The instance of an attached properties object is retrieved using the
qmlAttachedPropertiesObject()
template function. The template type is the type that has the attached properties.
PyQt5 uses similar, but slightly simpler steps to achieve the same thing.
- When calling
qmlRegisterType()
to register a type that has attached properties the type of the properties object is passed as theattachedProperties
argument. This type will be used as the factory for creating an instance of the properties object. - The instance of an attached properties object is retrieved using the
qmlAttachedPropertiesObject()
function in the same way that you would from C++. Just likeqmlRegisterType()
,qmlAttachedPropertiesObject()
takes an additional first argument that is the type that, in C++, would be the template argument.
See the attach.py
example included with PyQt5 for a complete example
showing the use of attached properties.
Using Property Value Sources¶
Property values sources are implemented in PyQt5 in the same way as they are
implemented in C++. Simply sub-class from both QObject
and QQmlPropertyValueSource
and provide an implementation
of the setTarget()
method.
Using QQmlParserStatus
¶
Monitoring the QML parser status is implemented in PyQt5 in the same way as it
is implemented in C++. Simply sub-class from both
QObject
and QQmlParserStatus
and
provide implementations of the classBegin()
and componentComplete()
methods.
Writing Python Plugins for qmlscene¶
Qt allows plugins that implement QML modules to be written that can be
dynamically loaded by a C++ application (e.g. qmlscene). These
plugins are sub-classes of QQmlExtensionPlugin
. PyQt5
supports exactly the same thing and allows those plugin to be written in
Python. In other words it is possible to provide QML extensions written in
Python to a C++ application, and to provide QML extensions written in C++ to a
Python application.
PyQt5 provides a QML plugin called pyqt5qmlplugin
. This acts as a wrapper
around the Python code that implements the plugin. It handles the loading of
the Python interpreter, locating and importing the Python module that contains
the implementation of QQmlExtensionPlugin
, creating an
instance of that class, and calling the instance's
registerTypes()
method. By default the
pyqt5qmlplugin
is installed in the PyQt5
sub-directory of your Qt
installation's plugin
directory.
Note
pyqt5qmlplugin
is the name of the plugin as seen by QML. Its actual
filename will be different and operating system dependent.
A QML extension module is a directory containing a file called qmldir
. The
file contains the name of the module and the name of the plugin that implements
the module. It may also specify the directory containing the plugin. Usually
this isn't needed because the plugin is installed in the same directory.
Therefore, for a QML extension module called Charts
, the contents of the
qmldir
file might be:
module Charts
plugin pyqt5qmlplugin /path/to/qt/plugins/PyQt5
The pyqt5qmlplugin
expects to find a Python module in the same directory
with a filename ending with plugin.py
or plugin.pyw
. In this case the
name chartsplugin.py
would be a sensible choice. Before importing this
module pyqt5qmlplugin
first places the name of the directory at the start
of sys.path
.
Note
pyqt5qmlplugin
has to locate the directory containing the qmldir
file itself. It does this using the same algorithm used by QML, i.e. it
searches some standard locations and locations specified by the
QML2_IMPORT_PATH
environment variable. When using
qmlscene, pyqt5qmlplugin
will not know about any additional
locations specified by its -I
option. Therefore,
QML2_IMPORT_PATH
should always be used to specify additional
locations to search.
Due to a limitation in QML it is not possible for multiple QML modules to use
the same C++ plugin. In C++ this is not a problem as there is a one-to-one
relationship between a module and the plugin. However, when using Python,
pyqt5qmlplugin
is used by every module. There are two solutions to this:
- on operating systems that support it, place a symbolic link in the directory
containing the
qmldir
file that points to the actualpyqt5qmlplugin
- make a copy of
pyqt5qmlplugin
in the directory containing theqmldir
file.
In both cases the contents of the qmldir
file can be simplifed to:
module Charts
plugin pyqt5qmlplugin
PyQt5 provides an example that can be run as follows:
cd /path/to/examples/quick/tutorials/extending/chapter6-plugins
QML2_IMPORT_PATH=. /path/to/qmlscene app.qml