def initAlgorithm(self, config):
"""
Here we define the inputs and output of the algorithm, along
with some other properties.
"""
self.addParameter(
QgsProcessingParameterFile(self.INPUT,
self.tr('Input csv file'),
extension='csv'))
# encoding of input file
encParam = QgsProcessingParameterEnum(
self.ENCODING, self.tr('select encoding of the file'))
encParam.setOptions(self.encode)
encParam.setAllowMultiple(False)
encParam.setDefaultValue(QVariant('SJIS'))
# file encoding
self.addParameter(encParam)
#self.addParameter(self
#)
# We add a feature sink in which to store our processed features (this
# usually takes the form of a newly created vector layer when the
# algorithm is run in QGIS).
self.addParameter(
QgsProcessingParameterFeatureSink(self.OUTPUT,
self.tr('Output layer')))
def initAlgorithm(self, config):
# las file
lasParam = QgsProcessingParameterFile(self.INPUT)
lasParam.setDescription(self.tr('LAS file'))
#lasParam.setExtension( 'las' )
self.addParameter(lasParam)
# database
pgBaseParam = QgsProcessingParameterEnum(self.OUTPUT_BASE)
pgBaseParam.setDescription(self.tr('PgPointCloud database'))
pgBaseParam.setOptions(self.pgpointcloudDatabases())
self.addParameter(pgBaseParam)
# table
pgTableParam = QgsProcessingParameterString(self.OUTPUT_TABLE)
pgTableParam.setDescription(self.tr('PgPointCloud table'))
self.addParameter(pgTableParam)
# table
layerParam = QgsProcessingParameterFeatureSink(self.OUTPUT_LAYER)
layerParam.setDescription(self.tr('Vector layer'))
self.addParameter(layerParam)
