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/************************************************************************
* This file has been generated automatically from *
* *
* src/core/qgscachedfeatureiterator.h *
* *
* Do not edit manually ! Edit header and run scripts/sipify.py again *
************************************************************************/
class QgsCachedFeatureIterator : QgsAbstractFeatureIterator
{
%Docstring(signature="appended")
Delivers features from the cache
%End
%TypeHeaderCode
#include "qgscachedfeatureiterator.h"
%End
public:
QgsCachedFeatureIterator( QgsVectorLayerCache *vlCache, const QgsFeatureRequest &featureRequest );
%Docstring
This constructor creates a feature iterator, that delivers all cached
features. No request is made to the backend.
:param vlCache: The vector layer cache to use
:param featureRequest: The feature request to answer
%End
~QgsCachedFeatureIterator();
virtual bool rewind();
%Docstring
Rewind to the beginning of the iterator
:return: bool ``True`` if the operation was OK
%End
virtual bool close();
%Docstring
Close this iterator. No further features will be available.
:return: ``True`` if successful
%End
protected:
virtual bool fetchFeature( QgsFeature &f );
%Docstring
Implementation for fetching a feature.
:param f: Will write to this feature
:return: bool ``True`` if the operation was OK
%End
virtual bool nextFeatureFilterFids( QgsFeature &f );
%Docstring
We have a local special iterator for FilterFids, no need to run the
generic.
:param f: Will write to this feature
:return: bool ``True`` if the operation was OK
%End
private:
QgsCachedFeatureIterator( const QgsCachedFeatureIterator &other );
};
class QgsCachedFeatureWriterIterator : QgsAbstractFeatureIterator
{
%Docstring(signature="appended")
Uses another iterator as backend and writes features to the cache
%End
%TypeHeaderCode
#include "qgscachedfeatureiterator.h"
%End
public:
QgsCachedFeatureWriterIterator( QgsVectorLayerCache *vlCache, const QgsFeatureRequest &featureRequest );
%Docstring
This constructor creates a feature iterator, which queries the backend
and caches retrieved features.
:param vlCache: The vector layer cache to use
:param featureRequest: The feature request to answer
%End
virtual bool rewind();
%Docstring
Rewind to the beginning of the iterator
:return: bool ``True`` if the operation was OK
%End
virtual bool close();
%Docstring
Close this iterator. No further features will be available.
:return: ``True`` if successful
%End
protected:
virtual bool fetchFeature( QgsFeature &f );
%Docstring
Implementation for fetching a feature.
:param f: Will write to this feature
:return: bool ``True`` if the operation was OK
%End
};
/************************************************************************
* This file has been generated automatically from *
* *
* src/core/qgscachedfeatureiterator.h *
* *
* Do not edit manually ! Edit header and run scripts/sipify.py again *
************************************************************************/
|
