Add graph visualization feature

taipy/common/config/ScenarioConfig.py

@@ -0,0 +1,46 @@
+import matplotlib.pyplot as plt
+import networkx as nx
+
+
+class ScenarioConfig:
+    def __init__(self):
+        self.graph = nx.DiGraph()  # Create a directed graph
+
+    def add_node(self, node):
+        """Add a node to the graph."""
+        self.graph.add_node(node)
+
+    def add_edge(self, from_node, to_node):
+        """Add an edge between two nodes."""
+        self.graph.add_edge(from_node, to_node)
+
+    def export_graph_as_image(self, file_path):
+        """Export the graph as an image."""
+        plt.figure(figsize=(10, 6))
+        pos = nx.spring_layout(self.graph)  # Positioning the nodes
+        nx.draw(self.graph, pos, with_labels=True, node_size=3000, node_color='lightblue', font_size=10,
+                font_weight='bold')
+
+        # Save the graph as an image
+        plt.savefig(file_path)
+        plt.close()  # Close the plot to avoid display
+        print(f"Graph exported as image: {file_path}")
+
+
+if __name__ == "__main__":
+    config = ScenarioConfig()
+
+    # Add vertices (nodes)
+    config.add_node("Node1")
+    config.add_node("Node2")
+    config.add_node("Node3")
+    config.add_node("Node4")
+
+    # Add edges (connections)
+    config.add_edge("Node1", "Node2")
+    config.add_edge("Node1", "Node3")
+    config.add_edge("Node2", "Node4")
+    config.add_edge("Node3", "Node4")
+
+    # Export the graph as an image
+    config.export_graph_as_image("scenario_graph.png")