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):
# Get existing connections
metadata = QgsProviderRegistry.instance().providerMetadata('postgres')
names = list(metadata.connections().keys())
existing_connections = []
for i, name in enumerate(names):
if name in connections_list()[0]:
existing_connections.append(i)
param = QgsProcessingParameterEnum(
self.DATABASES,
'List of databases to look for metadata',
options=names,
defaultValue=existing_connections,
)
param.setAllowMultiple(True)
tooltip = tr("PgMetadata can be installed on different databases.")
if Qgis.QGIS_VERSION_INT >= 31600:
param.setHelp(tooltip)
else:
param.tooltip_3liz = tooltip
self.addParameter(param)
