22 QString QgsExtractByAttributeAlgorithm::name()
const
24 return QStringLiteral(
"extractbyattribute" );
27 QString QgsExtractByAttributeAlgorithm::displayName()
const
29 return QObject::tr(
"Extract by attribute" );
32 QStringList QgsExtractByAttributeAlgorithm::tags()
const
34 return QObject::tr(
"extract,filter,attribute,value,contains,null,field" ).split(
',' );
37 QString QgsExtractByAttributeAlgorithm::group()
const
39 return QObject::tr(
"Vector selection" );
42 QString QgsExtractByAttributeAlgorithm::groupId()
const
44 return QStringLiteral(
"vectorselection" );
47 void QgsExtractByAttributeAlgorithm::initAlgorithm(
const QVariantMap & )
51 addParameter(
new QgsProcessingParameterField( QStringLiteral(
"FIELD" ), QObject::tr(
"Selection attribute" ), QVariant(), QStringLiteral(
"INPUT" ) ) );
59 << QObject::tr(
"begins with" )
60 << QObject::tr(
"contains" )
61 << QObject::tr(
"is null" )
62 << QObject::tr(
"is not null" )
63 << QObject::tr(
"does not contain" ),
false, 0 ) );
70 addParameter( failOutput );
73 QString QgsExtractByAttributeAlgorithm::shortHelpString()
const
75 return QObject::tr(
"This algorithm creates a new vector layer that only contains matching features from an input layer. "
76 "The criteria for adding features to the resulting layer is defined based on the values "
77 "of an attribute from the input layer." );
80 QgsExtractByAttributeAlgorithm *QgsExtractByAttributeAlgorithm::createInstance()
const
82 return new QgsExtractByAttributeAlgorithm();
87 std::unique_ptr< QgsProcessingFeatureSource > source( parameterAsSource( parameters, QStringLiteral(
"INPUT" ), context ) );
91 QString fieldName = parameterAsString( parameters, QStringLiteral(
"FIELD" ), context );
92 Operation op =
static_cast< Operation
>( parameterAsEnum( parameters, QStringLiteral(
"OPERATOR" ), context ) );
93 QString value = parameterAsString( parameters, QStringLiteral(
"VALUE" ), context );
95 QString matchingSinkId;
96 std::unique_ptr< QgsFeatureSink > matchingSink( parameterAsSink( parameters, QStringLiteral(
"OUTPUT" ), context, matchingSinkId, source->fields(),
97 source->wkbType(), source->sourceCrs() ) );
101 QString nonMatchingSinkId;
102 std::unique_ptr< QgsFeatureSink > nonMatchingSink( parameterAsSink( parameters, QStringLiteral(
"FAIL_OUTPUT" ), context, nonMatchingSinkId, source->fields(),
103 source->wkbType(), source->sourceCrs() ) );
105 int idx = source->fields().lookupField( fieldName );
107 throw QgsProcessingException( QObject::tr(
"Field '%1' was not found in INPUT source" ).arg( fieldName ) );
109 QVariant::Type fieldType = source->fields().at( idx ).type();
111 if ( fieldType != QVariant::String && ( op == BeginsWith || op == Contains || op == DoesNotContain ) )
117 method = QObject::tr(
"begins with" );
120 method = QObject::tr(
"contains" );
123 method = QObject::tr(
"does not contain" );
130 throw QgsProcessingException( QObject::tr(
"Operator '%1' can be used only with string fields." ).arg( method ) );
139 expr = QStringLiteral(
"%1 = %3" ).arg( fieldRef, quotedVal );
142 expr = QStringLiteral(
"%1 != %3" ).arg( fieldRef, quotedVal );
145 expr = QStringLiteral(
"%1 > %3" ).arg( fieldRef, quotedVal );
147 case GreaterThanEqualTo:
148 expr = QStringLiteral(
"%1 >= %3" ).arg( fieldRef, quotedVal );
151 expr = QStringLiteral(
"%1 < %3" ).arg( fieldRef, quotedVal );
153 case LessThanEqualTo:
154 expr = QStringLiteral(
"%1 <= %3" ).arg( fieldRef, quotedVal );
157 expr = QStringLiteral(
"%1 LIKE '%2%'" ).arg( fieldRef, value );
160 expr = QStringLiteral(
"%1 LIKE '%%2%'" ).arg( fieldRef, value );
163 expr = QStringLiteral(
"%1 IS NULL" ).arg( fieldRef );
166 expr = QStringLiteral(
"%1 IS NOT NULL" ).arg( fieldRef );
169 expr = QStringLiteral(
"%1 NOT LIKE '%%2%'" ).arg( fieldRef, value );
174 if ( expression.hasParserError() )
179 QgsExpressionContext expressionContext = createExpressionContext( parameters, context, source.get() );
181 long count = source->featureCount();
183 double step = count > 0 ? 100.0 / count : 1;
186 if ( !nonMatchingSink )
211 expressionContext.
setFields( source->fields() );
212 expression.prepare( &expressionContext );
224 if ( expression.evaluate( &expressionContext ).toBool() )
240 outputs.insert( QStringLiteral(
"OUTPUT" ), matchingSinkId );
241 if ( nonMatchingSink )
242 outputs.insert( QStringLiteral(
"FAIL_OUTPUT" ), nonMatchingSinkId );
Expression contexts are used to encapsulate the parameters around which a QgsExpression should be eva...
void setFeature(const QgsFeature &feature)
Convenience function for setting a feature for the context.
void setFields(const QgsFields &fields)
Convenience function for setting a fields for the context.
Class for parsing and evaluation of expressions (formerly called "search strings").
static QString quotedValue(const QVariant &value)
Returns a string representation of a literal value, including appropriate quotations where required.
static QString quotedColumnRef(QString name)
Returns a quoted column reference (in double quotes)
Wrapper for iterator of features from vector data provider or vector layer.
bool nextFeature(QgsFeature &f)
This class wraps a request for features to a vector layer (or directly its vector data provider).
QgsFeatureRequest & setFilterExpression(const QString &expression)
Set the filter expression.
QgsFeatureRequest & setExpressionContext(const QgsExpressionContext &context)
Sets the expression context used to evaluate filter expressions.
@ FastInsert
Use faster inserts, at the cost of updating the passed features to reflect changes made at the provid...
The feature class encapsulates a single feature including its unique ID, geometry and a list of field...
bool isCanceled() const SIP_HOLDGIL
Tells whether the operation has been canceled already.
void setProgress(double progress)
Sets the current progress for the feedback object.
Contains information about the context in which a processing algorithm is executed.
void setCreateByDefault(bool createByDefault)
Sets whether the destination should be created by default.
Custom exception class for processing related exceptions.
@ FlagSkipGeometryValidityChecks
Invalid geometry checks should always be skipped. This flag can be useful for algorithms which always...
Base class for providing feedback from a processing algorithm.
An enum based parameter for processing algorithms, allowing for selection from predefined values.
A feature sink output for processing algorithms.
An input feature source (such as vector layers) parameter for processing algorithms.
A vector layer or feature source field parameter for processing algorithms.
A string parameter for processing algorithms.
@ TypeVector
Tables (i.e. vector layers with or without geometry). When used for a sink this indicates the sink ha...
@ TypeVectorAnyGeometry
Any vector layer with geometry.