[processing] i18n support for lastools provider

qgis · Jan 17, 2015 · c5cb2f8 · c5cb2f8
1 parent f3f09fa
commit c5cb2f8
Show file tree

Hide file tree

Showing 89 changed files with 810 additions and 454 deletions.
diff --git a/python/plugins/processing/algs/lidar/LidarToolsAlgorithmProvider.py b/python/plugins/processing/algs/lidar/LidarToolsAlgorithmProvider.py
@@ -210,13 +210,13 @@ def initializeSettings(self):
         AlgorithmProvider.initializeSettings(self)
         ProcessingConfig.addSetting(Setting(self.getDescription(),
                 LAStoolsUtils.LASTOOLS_FOLDER,
-                'LAStools folder', LAStoolsUtils.LAStoolsPath()))
+                self.tr('LAStools folder'), LAStoolsUtils.LAStoolsPath()))
         ProcessingConfig.addSetting(Setting(self.getDescription(),
                 FusionUtils.FUSION_FOLDER,
-                'Fusion folder', FusionUtils.FusionPath()))
+                self.tr('Fusion folder'), FusionUtils.FusionPath()))
         ProcessingConfig.addSetting(Setting(self.getDescription(),
                 LAStoolsUtils.WINE_FOLDER,
-                'Wine folder', ''))
+                self.tr('Wine folder'), ''))
 
     def getName(self):
         return 'lidartools'

diff --git a/python/plugins/processing/algs/lidar/fusion/ASCII2DTM.py b/python/plugins/processing/algs/lidar/fusion/ASCII2DTM.py
@@ -48,16 +48,20 @@ class ASCII2DTM(FusionAlgorithm):
     def defineCharacteristics(self):
         self.name = 'ASCII to DTM'
         self.group = 'Conversion'
-        self.addParameter(ParameterFile(self.INPUT, 'Input ESRI ASCII layer'))
-        self.addParameter(ParameterSelection(self.XYUNITS, 'XY Units',
-                          self.UNITS))
-        self.addParameter(ParameterSelection(self.ZUNITS, 'Z Units',
-                          self.UNITS))
-        self.addParameter(ParameterSelection(self.COORDSYS, 'Coordinate system',
-                          ['unknown', 'UTM', 'state plane']))
-        self.addParameter(ParameterNumber(self.ZONE, "Coordinate system zone ('0' for unknown)", 0, None,
-                          0))
-        self.addOutput(OutputFile(self.OUTPUT, 'Output surface', 'dtm'))
+        self.addParameter(ParameterFile(
+            self.INPUT, self.tr('Input ESRI ASCII layer')))
+        self.addParameter(ParameterSelection(
+            self.XYUNITS, self.tr('XY Units'), self.UNITS))
+        self.addParameter(ParameterSelection(
+            self.ZUNITS, self.tr('Z Units'), self.UNITS))
+        self.addParameter(ParameterSelection(self.COORDSYS,
+            self.tr('Coordinate system'), ['unknown', 'UTM', 'state plane']))
+        self.addParameter(ParameterNumber(self.ZONE,
+            self.tr("Coordinate system zone ('0' for unknown)"), 0, None, 0))
+
+        self.addOutput(OutputFile(
+            self.OUTPUT, self.tr('Output surface'), 'dtm'))
+
         self.addAdvancedModifiers()
 
     def processAlgorithm(self, progress):

diff --git a/python/plugins/processing/algs/lidar/fusion/CanopyMaxima.py b/python/plugins/processing/algs/lidar/fusion/CanopyMaxima.py
@@ -49,22 +49,24 @@ class CanopyMaxima(FusionAlgorithm):
     def defineCharacteristics(self):
         self.name = 'Canopy Maxima'
         self.group = 'Points'
-        self.addParameter(ParameterFile(self.INPUT, 'Input FUSION canopy height model'))
-        self.addParameter(ParameterFile(self.GROUND, 'Input ground .dtm layer [optional]'))
-        self.addParameter(ParameterNumber(self.THRESHOLD, 'Height threshold',
-                          0, None, 10.0))
+        self.addParameter(ParameterFile(self.INPUT,
+            self.tr('Input FUSION canopy height model')))
+        self.addParameter(ParameterFile(self.GROUND,
+            self.tr('Input ground .dtm layer [optional]')))
+        self.addParameter(ParameterNumber(self.THRESHOLD,
+            self.tr('Height threshold'), 0, None, 10.0))
         ### begin
-        self.addParameter(ParameterNumber(self.PARAM_A, 'Variable window size: parameter A',
-                          0, None, 2.51503))
-        self.addParameter(ParameterNumber(self.PARAM_C, 'Parameter C',
-                          0, None, 0.00901))
-        self.addParameter(ParameterBoolean(self.SUMMARY, 'Summary (tree height summary statistics)',
-                        False))
+        self.addParameter(ParameterNumber(self.PARAM_A,
+            self.tr('Variable window size: parameter A'), 0, None, 2.51503))
+        self.addParameter(ParameterNumber(self.PARAM_C,
+            self.tr('Parameter C'), 0, None, 0.00901))
+        self.addParameter(ParameterBoolean(self.SUMMARY,
+            self.tr('Summary (tree height summary statistics)'), False))
         ### end
-        self.addOutput(OutputTable(self.OUTPUT, 'Output file with maxima'))
+        self.addOutput(OutputTable(self.OUTPUT,
+            self.tr('Output file with maxima')))
         self.addAdvancedModifiers()
 
-
     def processAlgorithm(self, progress):
         commands = [os.path.join(FusionUtils.FusionPath(), 'CanopyMaxima.exe')]
         commands.append('/verbose')

diff --git a/python/plugins/processing/algs/lidar/fusion/CanopyModel.py b/python/plugins/processing/algs/lidar/fusion/CanopyModel.py
@@ -57,27 +57,38 @@ class CanopyModel(FusionAlgorithm):
     def defineCharacteristics(self):
         self.name = 'Canopy Model'
         self.group = 'Points'
-        self.addParameter(ParameterFile(self.INPUT, 'Input las layer'))
-        self.addParameter(ParameterNumber(self.CELLSIZE, 'Cellsize', 0, None, 10.0))
-        self.addParameter(ParameterSelection(self.XYUNITS, 'XY Units', self.UNITS))
-        self.addParameter(ParameterSelection(self.ZUNITS, 'Z Units', self.UNITS))
-        self.addOutput(OutputFile(self.OUTPUT_DTM, 'DTM Output Surface', 'dtm'))
-        ground = ParameterFile(self.GROUND, 'Input ground DTM layer', False, True)
+        self.addParameter(ParameterFile(
+            self.INPUT, self.tr('Input las layer')))
+        self.addParameter(ParameterNumber(self.CELLSIZE,
+            self.tr('Cellsize'), 0, None, 10.0))
+        self.addParameter(ParameterSelection(self.XYUNITS,
+            self.tr('XY Units'), self.UNITS))
+        self.addParameter(ParameterSelection(self.ZUNITS,
+            self.tr('Z Units'), self.UNITS))
+        self.addOutput(OutputFile(self.OUTPUT_DTM,
+            self.tr('DTM Output Surface'), 'dtm'))
+        ground = ParameterFile(self.GROUND,
+            self.tr('Input ground DTM layer'), False, True)
         ground.isAdvanced = True
         self.addParameter(ground)
-        median = ParameterString(self.MEDIAN, 'Median', '', False, True)
+        median = ParameterString(self.MEDIAN,
+            self.tr('Median'), '', False, True)
         median.isAdvanced = True
         self.addParameter(median)
-        smooth = ParameterString(self.SMOOTH, 'Smooth', '', False, True)
+        smooth = ParameterString(self.SMOOTH,
+            self.tr('Smooth'), '', False, True)
         smooth.isAdvanced = True
         self.addParameter(smooth)
-        slope = ParameterString(self.SLOPE, 'Slope', '', False, True)
+        slope = ParameterString(self.SLOPE,
+            self.tr('Slope'), '', False, True)
         slope.isAdvanced = True
         self.addParameter(slope)
-        class_var = ParameterString(self.CLASS, 'Class', '', False, True)
+        class_var = ParameterString(self.CLASS,
+            self.tr('Class'), '', False, True)
         class_var.isAdvanced = True
         self.addParameter(class_var)
-        advance_modifiers = ParameterString(self.ADVANCED_MODIFIERS, 'Additional modifiers', '', False, True)
+        advance_modifiers = ParameterString(self.ADVANCED_MODIFIERS,
+            self.tr('Additional modifiers'), '', False, True)
         advance_modifiers.isAdvanced = True
         self.addParameter(advance_modifiers)
 

diff --git a/python/plugins/processing/algs/lidar/fusion/Catalog.py b/python/plugins/processing/algs/lidar/fusion/Catalog.py
@@ -43,18 +43,26 @@ class Catalog(FusionAlgorithm):
     def defineCharacteristics(self):
         self.name = 'Catalog'
         self.group = 'Points'
-        self.addParameter(ParameterFile(self.INPUT, 'Input las layer'))
-        self.addOutput(OutputFile(self.OUTPUT, 'Output files'))
-        density = ParameterString(self.DENSITY, 'Density - area, min, max (set blank if not used)', '', False, True)
+        self.addParameter(ParameterFile(
+            self.INPUT, self.tr('Input las layer')))
+        self.addOutput(OutputFile(self.OUTPUT, self.tr('Output files')))
+        density = ParameterString(self.DENSITY,
+            self.tr('Density - area, min, max (set blank if not used)'),
+            '', False, True)
         density.isAdvanced = True
         self.addParameter(density)
-        firest_density = ParameterString(self.FIRSTDENSITY, 'First Density - area, min, max (set blank if not used)', '', False, True)
+        firest_density = ParameterString(self.FIRSTDENSITY,
+            self.tr('First Density - area, min, max (set blank if not used)'),
+            '', False, True)
         firest_density.isAdvanced = True
         self.addParameter(firest_density)
-        intensity = ParameterString(self.INTENSITY, 'Intensity - area, min, max (set blank if not used)', '', False, True)
+        intensity = ParameterString(self.INTENSITY,
+            self.tr('Intensity - area, min, max (set blank if not used)'),
+            '', False, True)
         intensity.isAdvanced = True
         self.addParameter(intensity)
-        advanced_modifiers = ParameterString(self.ADVANCED_MODIFIERS, 'Additional modifiers', '', False, True)
+        advanced_modifiers = ParameterString(self.ADVANCED_MODIFIERS,
+            self.tr('Additional modifiers'), '', False, True)
         advanced_modifiers.isAdvanced = True
         self.addParameter(advanced_modifiers)
 
@@ -81,4 +89,4 @@ def processAlgorithm(self, progress):
             FusionUtils.createFileList(files)
             commands.append(FusionUtils.tempFileListFilepath())
         commands.append(self.getOutputValue(self.OUTPUT))
-        FusionUtils.runFusion(commands, progress)
+        FusionUtils.runFusion(commands, progress)
diff --git a/python/plugins/processing/algs/lidar/fusion/ClipData.py b/python/plugins/processing/algs/lidar/fusion/ClipData.py
@@ -45,11 +45,13 @@ class ClipData(FusionAlgorithm):
     def defineCharacteristics(self):
         self.name = 'Clip Data'
         self.group = 'Points'
-        self.addParameter(ParameterFile(self.INPUT, 'Input las layer'))
-        self.addParameter(ParameterExtent(self.EXTENT, 'Extent'))
-        self.addParameter(ParameterSelection(self.SHAPE, 'Shape',
-                          ['Rectangle', 'Circle']))
-        self.addOutput(OutputFile(self.OUTPUT, 'Output clipped las file'))
+        self.addParameter(ParameterFile(
+            self.INPUT, self.tr('Input las layer')))
+        self.addParameter(ParameterExtent(self.EXTENT, self.tr('Extent')))
+        self.addParameter(ParameterSelection(self.SHAPE,
+            self.tr('Shape'), ['Rectangle', 'Circle']))
+        self.addOutput(OutputFile(self.OUTPUT,
+            self.tr('Output clipped las file')))
         self.addAdvancedModifiers()
 
     def processAlgorithm(self, progress):

diff --git a/python/plugins/processing/algs/lidar/fusion/CloudMetrics.py b/python/plugins/processing/algs/lidar/fusion/CloudMetrics.py
@@ -48,18 +48,22 @@ class CloudMetrics(FusionAlgorithm):
     def defineCharacteristics(self):
         self.name = 'Cloud Metrics'
         self.group = 'Points'
-        self.addParameter(ParameterFile(self.INPUT, 'Input las layer'))
-        self.addOutput(OutputFile(self.OUTPUT, 'Output file with tabular metric information', 'dtm'))
-        above = ParameterString(self.ABOVE, 'Above', '', False)
+        self.addParameter(ParameterFile(
+            self.INPUT, self.tr('Input las layer')))
+        self.addOutput(OutputFile(self.OUTPUT,
+            self.tr('Output file with tabular metric information'), 'dtm'))
+        above = ParameterString(self.ABOVE, self.tr('Above'), '', False)
         above.isAdvanced = True
         self.addParameter(above)
-        firstImpulse = ParameterBoolean(self.FIRSTIMPULSE, 'First Impulse', False)
+        firstImpulse = ParameterBoolean(
+            self.FIRSTIMPULSE, self.tr('First Impulse'), False)
         firstImpulse.isAdvanced = True
         self.addParameter(firstImpulse)
-        firstReturn = ParameterBoolean(self.FIRSTRETURN, 'First Return', False)
+        firstReturn = ParameterBoolean(
+            self.FIRSTRETURN, self.tr('First Return'), False)
         firstReturn.isAdvanced = True
         self.addParameter(firstReturn)
-        htmin = ParameterString(self.HTMIN, 'Htmin', '', False, True)
+        htmin = ParameterString(self.HTMIN, self.tr('Htmin'), '', False, True)
         htmin.isAdvanced = True
         self.addParameter(htmin)
 

diff --git a/python/plugins/processing/algs/lidar/fusion/Cover.py b/python/plugins/processing/algs/lidar/fusion/Cover.py
@@ -49,17 +49,19 @@ class Cover(FusionAlgorithm):
     def defineCharacteristics(self):
         self.name = 'Cover'
         self.group = 'Points'
-        self.addParameter(ParameterFile(self.INPUT, 'Input las layer'))
-        self.addParameter(ParameterFile(self.GROUND, 'Input ground DTM layer'))
-        self.addParameter(ParameterNumber(self.CELLSIZE, 'Cellsize', 0, None,
-                          10.0))
-        self.addParameter(ParameterNumber(self.HEIGHTBREAK, 'Heightbreak', 0,
-                          None, 10.0))
-        self.addParameter(ParameterSelection(self.XYUNITS, 'XY Units',
-                          self.UNITS))
-        self.addParameter(ParameterSelection(self.ZUNITS, 'Z Units',
-                          self.UNITS))
-        self.addOutput(OutputRaster(self.OUTPUT, 'Cover'))
+        self.addParameter(ParameterFile(
+            self.INPUT, self.tr('Input las layer')))
+        self.addParameter(ParameterFile(
+            self.GROUND, self.tr('Input ground DTM layer')))
+        self.addParameter(ParameterNumber(
+            self.CELLSIZE, self.tr('Cellsize'), 0, None, 10.0))
+        self.addParameter(ParameterNumber(self.HEIGHTBREAK,
+            self.tr('Heightbreak'), 0, None, 10.0))
+        self.addParameter(ParameterSelection(self.XYUNITS,
+            self.tr('XY Units'), self.UNITS))
+        self.addParameter(ParameterSelection(self.ZUNITS,
+            self.tr('Z Units'), self.UNITS))
+        self.addOutput(OutputRaster(self.OUTPUT, self.tr('Cover')))
         self.addAdvancedModifiers()
 
     def processAlgorithm(self, progress):

diff --git a/python/plugins/processing/algs/lidar/fusion/Csv2Grid.py b/python/plugins/processing/algs/lidar/fusion/Csv2Grid.py
@@ -40,10 +40,10 @@ class Csv2Grid(FusionAlgorithm):
     def defineCharacteristics(self):
         self.name = 'Csv2Grid'
         self.group = 'Points'
-        self.addParameter(ParameterFile(self.INPUT, 'CSV Files'))
-        self.addParameter(ParameterString(self.COLUMN, 'Column'))
-        self.addOutput(OutputFile(self.OUTPUT, 'Raster Output file', 'asc'))
-
+        self.addParameter(ParameterFile(self.INPUT, self.tr('CSV Files')))
+        self.addParameter(ParameterString(self.COLUMN, self.tr('Column')))
+        self.addOutput(OutputFile(self.OUTPUT,
+            self.tr('Raster Output file'), 'asc'))
 
     def processAlgorithm(self, progress):
         commands = [os.path.join(FusionUtils.FusionPath(), 'CSV2Grid.exe')]

diff --git a/python/plugins/processing/algs/lidar/fusion/DTM2TIF.py b/python/plugins/processing/algs/lidar/fusion/DTM2TIF.py
@@ -42,8 +42,9 @@ class DTM2TIF(FusionAlgorithm):
     def defineCharacteristics(self):
         self.name = "DTM to TIF"
         self.group = "Conversion"
-        self.addParameter(ParameterFile(self.INPUT, "Input .dtm layer"))
-        self.addOutput(OutputRaster(self.OUTPUT, 'Output file name'))
+        self.addParameter(ParameterFile(
+            self.INPUT, self.tr("Input .dtm layer")))
+        self.addOutput(OutputRaster(self.OUTPUT, self.tr('Output file name')))
         self.addAdvancedModifiers()
 
     def processAlgorithm(self, progress):

diff --git a/python/plugins/processing/algs/lidar/fusion/FilterData.py b/python/plugins/processing/algs/lidar/fusion/FilterData.py
@@ -45,12 +45,14 @@ class FilterData(FusionAlgorithm):
     def defineCharacteristics(self):
         self.name = 'Filter Data outliers'
         self.group = 'Points'
-        self.addParameter(ParameterFile(self.INPUT, 'Input las layer'))
+        self.addParameter(ParameterFile(
+            self.INPUT, self.tr('Input las layer')))
+        self.addParameter(ParameterNumber(
+            self.VALUE, self.tr('Standard Deviation multiplier')))
         self.addParameter(ParameterNumber(self.VALUE,
-                          'Standard Deviation multiplier'))
-        self.addParameter(ParameterNumber(self.VALUE, 'Window size', None,
-                          None, 10))
-        self.addOutput(OutputFile(self.OUTPUT, 'Output filtered las file'))
+            self.tr('Window size'), None, None, 10))
+        self.addOutput(OutputFile(
+            self.OUTPUT, self.tr('Output filtered las file')))
         self.addAdvancedModifiers()
 
     def processAlgorithm(self, progress):

diff --git a/python/plugins/processing/algs/lidar/fusion/FirstLastReturn.py b/python/plugins/processing/algs/lidar/fusion/FirstLastReturn.py
@@ -43,9 +43,10 @@ class FirstLastReturn(FusionAlgorithm):
     def defineCharacteristics(self):
         self.name = 'First&Last Return'
         self.group = 'Points'
-        self.addParameter(ParameterFile(self.INPUT, 'Input .las'))
-        self.addParameter(ParameterBoolean(self.SWITCH, 'Use LAS info', True))
-        self.addOutput(OutputFile(self.OUTPUT, 'Output layers'))
+        self.addParameter(ParameterFile(self.INPUT, self.tr('Input .las')))
+        self.addParameter(ParameterBoolean(
+            self.SWITCH, self.tr('Use LAS info'), True))
+        self.addOutput(OutputFile(self.OUTPUT, self.tr('Output layers')))
         self.addAdvancedModifiers()
 
     def processAlgorithm(self, progress):

diff --git a/python/plugins/processing/algs/lidar/fusion/FusionAlgorithm.py b/python/plugins/processing/algs/lidar/fusion/FusionAlgorithm.py
@@ -43,12 +43,12 @@ def getIcon(self):
     def checkBeforeOpeningParametersDialog(self):
         path = FusionUtils.FusionPath()
         if path == '':
-            return 'Fusion folder is not configured.\nPlease configure it \
-                    before running Fusion algorithms.'
+            return self.tr('Fusion folder is not configured.\nPlease '
+                           'configure it before running Fusion algorithms.')
 
     def addAdvancedModifiers(self):
-        param = ParameterString(self.ADVANCED_MODIFIERS, 'Additional modifiers'
-                                , '')
+        param = ParameterString(
+            self.ADVANCED_MODIFIERS, self.tr('Additional modifiers'), '')
         param.isAdvanced = True
         self.addParameter(param)
 

diff --git a/python/plugins/processing/algs/lidar/fusion/FusionUtils.py b/python/plugins/processing/algs/lidar/fusion/FusionUtils.py
@@ -62,7 +62,9 @@ def createFileList(files):
     @staticmethod
     def runFusion(commands, progress):
         loglines = []
-        loglines.append('Fusion execution console output')
+        loglines.append(
+            QCoreApplication.translate('FusionUtils',
+                                       'Fusion execution console output')
         proc = subprocess.Popen(
             commands,
             shell=True,