Convert make_space into solara components

Corvince · Corvince · commit 4aa02fd112ab · 2023-09-03T21:08:30.000+02:00
diff --git a/mesa/experimental/jupyter_viz.py b/mesa/experimental/jupyter_viz.py
@@ -48,10 +48,7 @@ def make_model():
 
     with solara.GridFixed(columns=2):
         # 4. Space
-        if space_drawer is None:
-            make_space(model, agent_portrayal)
-        else:
-            space_drawer(model, agent_portrayal)
+        SpaceView(space_drawer, model, agent_portrayal)
         # 5. Plots
         for measure in measures:
             if callable(measure):
@@ -182,15 +179,16 @@ def make_user_input(user_input, name, options):
         raise ValueError(f"{input_type} is not a supported input type")
 
 
-def make_space(model, agent_portrayal):
-    def portray(g):
+@solara.component
+def GridView(grid, agent_portrayal):
+    def portray(grid):
         x = []
         y = []
-        s = []  # size
-        c = []  # color
-        for i in range(g.width):
-            for j in range(g.height):
-                content = g._grid[i][j]
+        sizes = []
+        colors = []
+        for i in range(grid.width):
+            for j in range(grid.height):
+                content = grid._grid[i][j]
                 if not content:
                     continue
                 if not hasattr(content, "__iter__"):
@@ -201,35 +199,54 @@ def portray(g):
                     x.append(i)
                     y.append(j)
                     if "size" in data:
-                        s.append(data["size"])
+                        sizes.append(data["size"])
                     if "color" in data:
-                        c.append(data["color"])
+                        colors.append(data["color"])
         out = {"x": x, "y": y}
-        if len(s) > 0:
-            out["s"] = s
-        if len(c) > 0:
-            out["c"] = c
+        if len(sizes) > 0:
+            out["s"] = sizes
+        if len(colors) > 0:
+            out["c"] = colors
         return out
 
     space_fig = Figure()
     space_ax = space_fig.subplots()
-    if isinstance(model.grid, mesa.space.NetworkGrid):
-        _draw_network_grid(model, space_ax, agent_portrayal)
-    else:
-        space_ax.scatter(**portray(model.grid))
+    space_ax.scatter(**portray(grid))
     space_ax.set_axis_off()
     solara.FigureMatplotlib(space_fig)
 
 
-def _draw_network_grid(model, space_ax, agent_portrayal):
-    graph = model.grid.G
+@solara.component
+def SpaceView(
+    space_drawer,
+    model,
+    agent_portrayal,
+):
+    if space_drawer is not None:
+        return space_drawer(model, agent_portrayal)
+
+    if isinstance(model.grid, mesa.space.NetworkGrid):
+        return NetworkSpace(model.grid.G, agent_portrayal)
+
+    if isinstance(model.grid, mesa.space._Grid):
+        return GridView(model.grid, agent_portrayal)
+
+    raise ValueError(f"Unsupported space type: {type(model.grid)}")
+
+
+@solara.component
+def NetworkSpace(graph, agent_portrayal):
+    space_fig = Figure()
+    space_ax = space_fig.subplots()
     pos = nx.spring_layout(graph, seed=0)
     nx.draw(
         graph,
         ax=space_ax,
         pos=pos,
         **agent_portrayal(graph),
     )
+    space_ax.set_axis_off()
+    solara.FigureMatplotlib(space_fig)
 
 
 def make_plot(model, measure):
