added live-server visualization to project

agent.py

@@ -14,14 +14,14 @@ from typing import overload
 
 class RandomWalkerAnt(Agent):
     def __init__(self, unique_id, model, look_for_chemical=None,
-                 energy_0=1, chemical_drop_rate_0=1, sensitvity_0=1, alpha=0.5) -> None:
+                 energy_0=1, chemical_drop_rate_0=1, sensitvity_0=1, alpha=0.5, drop_chemical=None) -> None:
         super().__init__(unique_id=unique_id, model=model)
 
         self._next_pos : None | Coordinate = None
 
         self.prev_pos : None | Coordinate = None
         self.look_for_chemical = look_for_chemical
-        self.drop_chemical = None
+        self.drop_chemical = drop_chemical
         self.energy : float = energy_0
         self.sensitvity : float = sensitvity_0
         self.chemical_drop_rate : float = chemical_drop_rate_0 #TODO: check whether needs to be separated into A and B
@@ -34,6 +34,10 @@ class RandomWalkerAnt(Agent):
 
     def step(self):
         # follow positive gradient
+        if self.prev_pos is None:
+            i = np.random.choice(range(6))
+            self._next_pos = self.neighbors()[i]
+            return
         if self.look_for_chemical is not None:
             front_concentration = [self.model.grid.fields[self.look_for_chemical][cell] for cell in self.front_neighbors ]
             gradient = front_concentration - np.repeat(self.model.grid.fields[self.look_for_chemical][self.pos], 3)
@@ -61,8 +65,7 @@ class RandomWalkerAnt(Agent):
     def advance(self) -> None:
         self.drop_chemicals()
         self.prev_pos = self.pos
-        self.pos = self._next_pos
+        self.model.grid.move_agent(self, self._next_pos)
-
 
     # TODO: find out how to decorate with property properly
     def neighbors(self, pos=None, include_center=False):

model.py

@@ -33,12 +33,12 @@ class ActiveWalkerModel(Model):
         self.nest_position : Coordinate = nest_position
         self.num_max_agents = num_max_agents
 
-        self.decay_rates = {"A" :1,
+        self.decay_rates : dict[str, float] = {"A" :0.1,
-                            "B": 1,
+                                               "B": 0.1,
                                                }
 
         for agent_id in self.get_unique_ids(num_initial_roamers):
-            agent = RandomWalkerAnt(unique_id=agent_id, model=self, look_for_chemical="A")
+            agent = RandomWalkerAnt(unique_id=agent_id, model=self, look_for_chemical="A", drop_chemical="A")
             self.schedule.add(agent)
             self.grid.place_agent(agent, pos=nest_position)
 
@@ -64,8 +64,6 @@ class ActiveWalkerModel(Model):
             field = self.grid.fields[key]
             self.grid.fields[key] =  field - self.decay_rates[key]*field
 
-        self.grid.step() # actually apply deposits on fields
-
         self.datacollector.collect(self)
 
         if self.schedule.steps >= self.max_steps:

server.py

@@ -0,0 +1,109 @@
+#!/bin/python
+"""
+server.py - Part of ants project
+
+This file sets up the mesa built-in visualization server
+and runs it on file execution.
+For now it displays ant locations as well as pheromone A
+concentrations on two seperate grids
+
+License: AGPL 3 (see end of file)
+(C) Alexander Bocken, Viviane Fahrni, Grace Kragho
+"""
+
+import numpy as np
+from mesa.visualization.modules import CanvasHexGrid, ChartModule, CanvasGrid
+from mesa.visualization.ModularVisualization import ModularServer
+from mesa.visualization.UserParam import UserSettableParameter
+from model import ActiveWalkerModel
+from collections import defaultdict
+
+def setup():
+    # Set the model parameters
+    params = {
+              "width": 50, "height": 50,
+              "num_max_agents" : 100,
+              "nest_position" : (25,25),
+              "num_initial_roamers" : 5,
+              }
+
+
+    class CanvasHexGridMultiAgents(CanvasHexGrid):
+        """
+        A modification of CanvasHexGrid to not run visualization functions on all agents
+        but on all grid positions instead
+        """
+        package_includes = ["HexDraw.js", "CanvasHexModule.js", "InteractionHandler.js"]
+        portrayal_method = None  # Portrayal function
+        canvas_width = 500
+        canvas_height = 500
+
+        def __init__(self, portrayal_method, grid_width, grid_height, canvas_width=500, canvas_height=500,):
+            super().__init__(portrayal_method, grid_width, grid_height, canvas_width, canvas_height)
+
+        def render(self, model):
+            grid_state = defaultdict(list)
+            for x in range(model.grid.width):
+                for y in range(model.grid.height):
+                    portrayal = self.portrayal_method(model, (x, y))
+                    if portrayal:
+                        portrayal["x"] = x
+                        portrayal["y"] = y
+                        grid_state[portrayal["Layer"]].append(portrayal)
+
+            return grid_state
+
+
+    def get_color(level, normalization):
+        """
+        level: level to calculate color between white and black (linearly)
+        normalization: value for which we want full black color
+        """
+        rgb = int(255 - level * 255 / normalization)
+        mono = f"{rgb:0{2}x}" # hex value of rgb value with fixed length 2
+        rgb = f"#{3*mono}"
+        return rgb
+
+    def portray_ant_density(model, pos):
+        return {
+            "Shape": "hex",
+            "r": 1,
+            "Filled": "true",
+            "Layer": 0,
+            "x": pos[0],
+            "y": pos[1],
+            "Color": get_color(level=len(model.grid[pos]), normalization=5)
+        }
+
+    def portray_pheromone_density(model, pos):
+        return {
+            "Shape": "hex",
+            "r": 1,
+            "Filled": "true",
+            "Layer": 0,
+            "x": pos[0],
+            "y": pos[1],
+            "Color": get_color(level=model.grid.fields["A"][pos], normalization=3)
+        }
+
+
+
+    width = params['width']
+    height = params['height']
+    pixel_ratio = 10
+    grid_ants = CanvasHexGridMultiAgents(portray_ant_density, width, height, width*pixel_ratio, height*pixel_ratio)
+    grid_pheromones = CanvasHexGridMultiAgents(portray_pheromone_density, width, height, width*pixel_ratio, height*pixel_ratio)
+    return ModularServer(ActiveWalkerModel, [grid_ants, grid_pheromones],
+                           "Active Random Walker Ants", params)
+
+if __name__ == "__main__":
+    server = setup()
+    server.launch()
+
+"""
+This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, version 3.
+
+This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
+
+You should have received a copy of the GNU Affero General Public License along with this program. If not, see <https://www.gnu.org/licenses/>
+"""