refactoring the Processing provider and other plots

DataPlotly/processing/dataplotly_barplot.py

@@ -0,0 +1,65 @@
+"""
+/***************************************************************************
+ DataPlotly
+                                 A QGIS plugin
+ D3 Plots for QGIS
+                              -------------------
+        begin                : 2024-10-29
+        git sha              : $Format:%H$
+        copyright            : (C) 2024 by matteo ghetta
+        email                : [email protected]
+ ***************************************************************************/
+/***************************************************************************
+ *                                                                         *
+ *   This program is free software; you can redistribute it and/or modify  *
+ *   it under the terms of the GNU General Public License as published by  *
+ *   the Free Software Foundation; either version 2 of the License, or     *
+ *   (at your option) any later version.                                   *
+ *                                                                         *
+ ***************************************************************************/
+"""
+
+from qgis.PyQt.QtGui import QIcon
+
+import os
+
+from .dataplotly_generic_plot import DataPlotlyProcessingPlot
+
+
+class DataPlotlyProcessingBarPlot(DataPlotlyProcessingPlot):
+    """
+    Create a bar with DataPlotly plugin
+    """
+
+    def __init__(self):
+        super().__init__(plot_type="bar")
+
+    def name(self):
+        return "barplot"
+
+    def displayName(self):
+        return "Bar Plot"
+
+    def icon(self):
+        return QIcon(
+            os.path.join(
+                os.path.dirname(__file__),
+                "..",
+                "core",
+                "plot_types",
+                "icons",
+                "barplot.svg",
+            )
+        )
+
+    def createInstance(self):
+        return DataPlotlyProcessingBarPlot()
+
+    def initAlgorithm(self, config=None):
+
+        # create the parameters list
+        parameters = self.create_parameter_dictionary(self.plot_type)
+
+        # loop and fill the parameters
+        for param in parameters:
+            self.addParameter(param)