Class: QgsLocatorAutomaticModel

A QgsLocatorModel which is associated directly with a QgsLocator, and is automatically populated with results from locator searches.

Use this QgsLocatorModel subclass when you want the connections between a QgsLocator and the model to be automatically created for you. If more flexibility in model behavior is required, use the base QgsLocatorModel class instead and setup the connections manually.

Note that this class should generally be used with a QgsLocatorProxyModel in order to ensure correct sorting of results by priority and match level.

Class Hierarchy

Inheritance diagram of qgis.core.QgsLocatorAutomaticModel

Base classes

QgsLocatorModel

An abstract list model for displaying the results of locator searches.

QAbstractTableModel

QAbstractItemModel

QObject

Methods

locator

Returns a pointer to the locator utilized by this model.

search

Enqueues a search for a specified string within the model.

Virtual Methods

In PyQGIS, only methods marked as virtual can be safely overridden in a Python subclass of QgsLocatorAutomaticModel. See the FAQ for more details.

createContext

Returns a new locator context for searches.

class qgis.core.QgsLocatorAutomaticModel[source]

Bases: QgsLocatorModel

__init__(locator: QgsLocator | None)

Constructor for QgsLocatorAutomaticModel, linked with the specified locator.

The locator is used as the model’s parent.

Parameters:

locator (Optional[QgsLocator])

virtual createContext(self) QgsLocatorContext[source]

Returns a new locator context for searches. The default implementation returns a default constructed QgsLocatorContext. Subclasses can override this method to implement custom context creation logic.

Return type:

QgsLocatorContext

locator(self) QgsLocator | None[source]

Returns a pointer to the locator utilized by this model.

Return type:

Optional[QgsLocator]

search(self, string: str | None)[source]

Enqueues a search for a specified string within the model.

Note that the search may not begin immediately if an existing search request is still running. In this case the existing search must be completely terminated before the new search can begin. The model handles this situation automatically, and will trigger a search for the new search string as soon as possible.

Parameters:

string (Optional[str])