QGIS API Documentation 3.37.0-Master (fdefdf9c27f)
qgsalgorithmextractbyexpression.cpp
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1/***************************************************************************
2 qgsalgorithmextractbyexpression.cpp
3 ---------------------
4 begin : April 2017
5 copyright : (C) 2017 by Nyall Dawson
6 email : nyall dot dawson at gmail dot com
7 ***************************************************************************/
8
9/***************************************************************************
10 * *
11 * This program is free software; you can redistribute it and/or modify *
12 * it under the terms of the GNU General Public License as published by *
13 * the Free Software Foundation; either version 2 of the License, or *
14 * (at your option) any later version. *
15 * *
16 ***************************************************************************/
17
19
21
22QString QgsExtractByExpressionAlgorithm::name() const
23{
24 return QStringLiteral( "extractbyexpression" );
25}
26
27QString QgsExtractByExpressionAlgorithm::displayName() const
28{
29 return QObject::tr( "Extract by expression" );
30}
31
32QStringList QgsExtractByExpressionAlgorithm::tags() const
33{
34 return QObject::tr( "extract,filter,expression,field" ).split( ',' );
35}
36
37QString QgsExtractByExpressionAlgorithm::group() const
38{
39 return QObject::tr( "Vector selection" );
40}
41
42QString QgsExtractByExpressionAlgorithm::groupId() const
43{
44 return QStringLiteral( "vectorselection" );
45}
46
47void QgsExtractByExpressionAlgorithm::initAlgorithm( const QVariantMap & )
48{
49 addParameter( new QgsProcessingParameterFeatureSource( QStringLiteral( "INPUT" ), QObject::tr( "Input layer" ),
50 QList< int >() << static_cast< int >( Qgis::ProcessingSourceType::Vector ) ) );
51 addParameter( new QgsProcessingParameterExpression( QStringLiteral( "EXPRESSION" ), QObject::tr( "Expression" ), QVariant(), QStringLiteral( "INPUT" ) ) );
52
53 addParameter( new QgsProcessingParameterFeatureSink( QStringLiteral( "OUTPUT" ), QObject::tr( "Matching features" ) ) );
54 QgsProcessingParameterFeatureSink *failOutput = new QgsProcessingParameterFeatureSink( QStringLiteral( "FAIL_OUTPUT" ), QObject::tr( "Non-matching" ),
56 failOutput->setCreateByDefault( false );
57 addParameter( failOutput );
58}
59
60QString QgsExtractByExpressionAlgorithm::shortHelpString() const
61{
62 return QObject::tr( "This algorithm creates a new vector layer that only contains matching features from an input layer. "
63 "The criteria for adding features to the resulting layer is based on a QGIS expression.\n\n"
64 "For help with QGIS expression functions, see the inbuilt help for specific functions "
65 "which is available in the expression builder." );
66}
67
68QgsExtractByExpressionAlgorithm *QgsExtractByExpressionAlgorithm::createInstance() const
69{
70 return new QgsExtractByExpressionAlgorithm();
71}
72
73QVariantMap QgsExtractByExpressionAlgorithm::processAlgorithm( const QVariantMap &parameters, QgsProcessingContext &context, QgsProcessingFeedback *feedback )
74{
75 std::unique_ptr< QgsProcessingFeatureSource > source( parameterAsSource( parameters, QStringLiteral( "INPUT" ), context ) );
76 if ( !source )
77 throw QgsProcessingException( invalidSourceError( parameters, QStringLiteral( "INPUT" ) ) );
78
79 const QString expressionString = parameterAsExpression( parameters, QStringLiteral( "EXPRESSION" ), context );
80
81 QString matchingSinkId;
82 std::unique_ptr< QgsFeatureSink > matchingSink( parameterAsSink( parameters, QStringLiteral( "OUTPUT" ), context, matchingSinkId, source->fields(),
83 source->wkbType(), source->sourceCrs() ) );
84 if ( !matchingSink )
85 throw QgsProcessingException( invalidSinkError( parameters, QStringLiteral( "OUTPUT" ) ) );
86
87 QString nonMatchingSinkId;
88 std::unique_ptr< QgsFeatureSink > nonMatchingSink( parameterAsSink( parameters, QStringLiteral( "FAIL_OUTPUT" ), context, nonMatchingSinkId, source->fields(),
89 source->wkbType(), source->sourceCrs() ) );
90
91 QgsExpression expression( expressionString );
92 if ( expression.hasParserError() )
93 {
94 throw QgsProcessingException( expression.parserErrorString() );
95 }
96
97 QgsExpressionContext expressionContext = createExpressionContext( parameters, context, source.get() );
98
99 const long count = source->featureCount();
100
101 const double step = count > 0 ? 100.0 / count : 1;
102 int current = 0;
103
104 if ( !nonMatchingSink )
105 {
106 // not saving failing features - so only fetch good features
108 req.setFilterExpression( expressionString );
109 req.setExpressionContext( expressionContext );
110
112 QgsFeature f;
113 while ( it.nextFeature( f ) )
114 {
115 if ( feedback->isCanceled() )
116 {
117 break;
118 }
119
120 if ( !matchingSink->addFeature( f, QgsFeatureSink::FastInsert ) )
121 throw QgsProcessingException( writeFeatureError( matchingSink.get(), parameters, QStringLiteral( "OUTPUT" ) ) );
122
123 feedback->setProgress( current * step );
124 current++;
125 }
126 }
127 else
128 {
129 // saving non-matching features, so we need EVERYTHING
130 expressionContext.setFields( source->fields() );
131 expression.prepare( &expressionContext );
132
133 QgsFeatureIterator it = source->getFeatures();
134 QgsFeature f;
135 while ( it.nextFeature( f ) )
136 {
137 if ( feedback->isCanceled() )
138 {
139 break;
140 }
141
142 expressionContext.setFeature( f );
143 if ( expression.evaluate( &expressionContext ).toBool() )
144 {
145 if ( !matchingSink->addFeature( f, QgsFeatureSink::FastInsert ) )
146 throw QgsProcessingException( writeFeatureError( matchingSink.get(), parameters, QStringLiteral( "OUTPUT" ) ) );
147 }
148 else
149 {
150 if ( !nonMatchingSink->addFeature( f, QgsFeatureSink::FastInsert ) )
151 throw QgsProcessingException( writeFeatureError( nonMatchingSink.get(), parameters, QStringLiteral( "FAIL_OUTPUT" ) ) );
152 }
153
154 feedback->setProgress( current * step );
155 current++;
156 }
157 }
158
159
160 QVariantMap outputs;
161 outputs.insert( QStringLiteral( "OUTPUT" ), matchingSinkId );
162 if ( nonMatchingSink )
163 outputs.insert( QStringLiteral( "FAIL_OUTPUT" ), nonMatchingSinkId );
164 return outputs;
165}
166
168
@ Vector
Tables (i.e. vector layers with or without geometry). When used for a sink this indicates the sink ha...
@ VectorAnyGeometry
Any vector layer with geometry.
@ SkipGeometryValidityChecks
Invalid geometry checks should always be skipped. This flag can be useful for algorithms which always...
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").
Wrapper for iterator of features from vector data provider or vector layer.
bool nextFeature(QgsFeature &f)
Fetch next feature and stores in f, returns true on success.
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...
Definition: qgsfeature.h:56
bool isCanceled() const
Tells whether the operation has been canceled already.
Definition: qgsfeedback.h:53
void setProgress(double progress)
Sets the current progress for the feedback object.
Definition: qgsfeedback.h:61
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.
Definition: qgsexception.h:83
Base class for providing feedback from a processing algorithm.
An expression parameter for processing algorithms.
A feature sink output for processing algorithms.
An input feature source (such as vector layers) parameter for processing algorithms.