ForkliftAgent.py

@@ -1,8 +1,10 @@
+from copy import deepcopy
 from typing import Tuple, List
 
 from AgentBase import AgentBase
 from PatchAgent import PatchAgent
 from PatchType import PatchType
+from data.GameConstants import GameConstants
 from data.Item import Item
 from data.Order import Order
 from data.enum.Direction import Direction
@@ -16,7 +18,7 @@ from util.PathDefinitions import GridLocation, GridWithWeights
 
 class ForkliftAgent(AgentBase):
 
-    def __init__(self, model, game_constants, client_delivery: PatchAgent, drop_off: PatchAgent,
+    def __init__(self, model, game_constants: GameConstants, client_delivery: PatchAgent, drop_off: PatchAgent,
                  graph: GridWithWeights):
         super().__init__(model)
         self.action_queue: List[Action] = []
@@ -28,11 +30,20 @@ class ForkliftAgent(AgentBase):
         self.drop_off: PatchAgent = drop_off
         self.graph = graph
         self.game_constants = game_constants
-        self.current_order: Order = None
-        self.current_item = None
         self.item_station_completed = False
-        self.provided_items: List[Item] = []
+        self.current_order_delivered_items: List[Item] = []
         self.ready_for_execution = False
+        self.last_delviered_item = None
+
+        self.current_item: Item = None
+        self.current_order = None
+        self.base: GridLocation = None
+        self.goal: GridLocation = None
+
+    def set_base(self, drop_off: PatchAgent):
+        self.drop_off = drop_off
+        self.base = self.drop_off.location
+        self.goal = self.base
 
     def queue_movement_actions(self, movement_actions: List[Action]):
         self.action_queue.extend(movement_actions)
@@ -43,120 +54,94 @@ class ForkliftAgent(AgentBase):
             action_type = action.action_type
 
             if action_type == ActionType.ROTATE_UP:
-                print("rotate {} --> {}".format(self.current_rotation, action_type))
+                # print("rotate {} --> {}".format(self.current_rotation, action_type))
                 self.current_rotation = Direction.top
 
             elif action_type == ActionType.ROTATE_RIGHT:
-                print("rotate {} --> {}".format(self.current_rotation, action_type))
+                # print("rotate {} --> {}".format(self.current_rotation, action_type))
                 self.current_rotation = Direction.right
 
             elif action_type == ActionType.ROTATE_DOWN:
-                print("rotate {} --> {}".format(self.current_rotation, action_type))
+                # print("rotate {} --> {}".format(self.current_rotation, action_type))
                 self.current_rotation = Direction.down
 
             elif action_type == ActionType.ROTATE_LEFT:
-                print("rotate {} --> {}".format(self.current_rotation, action_type))
+                # print("rotate {} --> {}".format(self.current_rotation, action_type))
                 self.current_rotation = Direction.left
 
             elif action_type == ActionType.MOVE:
                 if self.current_rotation == Direction.top:
-                    print("move {} --> {}".format(self.current_position, action_type))
+                    # print("move {} --> {}".format(self.current_position, action_type))
                     self.current_position = (self.current_position[0], self.current_position[1] + 1)
 
                 elif self.current_rotation == Direction.down:
-                    print("move {} --> {}".format(self.current_position, action_type))
+                    # print("move {} --> {}".format(self.current_position, action_type))
                     self.current_position = (self.current_position[0], self.current_position[1] - 1)
 
                 elif self.current_rotation == Direction.right:
-                    print("move {} --> {}".format(self.current_position, action_type))
+                    # print("move {} --> {}".format(self.current_position, action_type))
                     self.current_position = (self.current_position[0] + 1, self.current_position[1])
 
                 elif self.current_rotation == Direction.left:
-                    print("move {} --> {}".format(self.current_position, action_type))
+                    # print("move {} --> {}".format(self.current_position, action_type))
                     self.current_position = (self.current_position[0] - 1, self.current_position[1])
 
-    def plan_actions(self):
-        if len(self.current_order.items) > 0:
-            i = self.current_order.items.pop(0)
-            if self.current_item is None:
-                self.provided_items.clear()
-                self.current_item = i
-                print("PLAN MOVEMENT")
-
-                # get item
+    def step(self) -> None:
+        if len(self.action_queue) > 0:
+            self.move()
+        elif self.ready_for_execution:
+            if self.current_position != self.goal:
                 pathFinder = PathFinderOnStates(
                     self.game_constants,
-                    self.drop_off.location,
-                    PathFinderState(self.current_position,
-                                    self.current_rotation,
-                                    0,
-                                    Action(ActionType.NONE),
-                                    [])
-                )
-                actions = pathFinder.get_action_list()
-                self.queue_movement_actions(actions)
-
-            elif not self.item_station_completed:
-                # go through station
-
-                packing_station: GridLocation = None
-                stations = dict(self.graph.packingStations)
-                if i.real_type == ItemType.SHELF:
-                    packing_station = stations[PatchType.packingShelf]
-                elif i.real_type == ItemType.REFRIGERATOR:
-                    packing_station = stations[PatchType.packingRefrigerator]
-                elif i.real_type == ItemType.DOOR:
-                    packing_station = stations[PatchType.packingC]
-
-                pathFinder = PathFinderOnStates(
-                    self.game_constants,
-                    packing_station,
+                    self.goal,
                     PathFinderState(self.current_position,
                                     self.current_rotation,
                                     0,
                                     Action(
-                                        desired_item=i,
+                                        desired_item=None,
                                         action_type=ActionType.PICK_ITEM
                                     ),
                                     [])
                 )
                 actions = pathFinder.get_action_list()
                 self.queue_movement_actions(actions)
-                self.item_station_completed = True
-
             else:
-                # go to client delivery area
-                pathFinder = PathFinderOnStates(
-                    self.game_constants,
-                    self.client_delivery.location,
-                    PathFinderState(self.current_position,
-                                    self.current_rotation,
-                                    0,
-                                    Action(ActionType.NONE),
-                                    [])
-                )
-                actions = pathFinder.get_action_list()
-                self.queue_movement_actions(actions)
-                self.queue_movement_actions(
-                    [Action(ActionType.DROP_ITEM)]
-                )
+                if self.current_order is not None and self.goal == self.base:
+                    self.current_item = self.current_order.items.pop(0)
+                    packing_station: GridLocation = None
+                    stations = dict(self.graph.packingStations)
+
+                    if self.current_item.real_type == ItemType.SHELF:
+                        packing_station = stations[PatchType.packingShelf]
+                    elif self.current_item.real_type == ItemType.REFRIGERATOR:
+                        packing_station = stations[PatchType.packingRefrigerator]
+                    elif self.current_item.real_type == ItemType.DOOR:
+                        packing_station = stations[PatchType.packingDoor]
+
+                    self.goal = packing_station
+
+                elif self.goal in [i[1] for i in self.graph.packingStations]:
+                    self.goal = self.client_delivery.location
+
+                elif self.goal == self.client_delivery.location:
+                    if self.current_order is not None and len(self.current_order.items) == 0:
+
+                        self.current_order_delivered_items.append(self.current_item)
+                        self.current_order.items = deepcopy(self.current_order_delivered_items)
+                        self.fulfilled_orders.append(self.current_order)
 
                         self.current_item = None
-                self.provided_items.append(self.current_item)
-                self.item_station_completed = False
-
-    def step(self) -> None:
-        if len(self.action_queue) > 0:
-            self.move()
-        elif self.ready_for_execution and len(self.orderList) > 0:
-            if (self.current_order is not None and len(self.current_order.items)) == 0:
-                self.fulfilled_orders.append(self.current_order)
                         self.current_order = None
 
-            if self.current_order is None:
-                self.current_order = self.orderList.pop(0)
+                        self.goal = self.base
+                    else:
+                        self.current_order_delivered_items.append(self.current_item)
+                        self.goal = self.base
+                        self.current_item = None
 
-            self.plan_actions()
+                elif self.goal == self.base and self.current_order is None:
+                    self.current_order_delivered_items.clear()
+                    self.current_order = self.orderList.pop(0)
 
     def creation_log(self):
         print("Created Forklift Agent [id: {}]".format(self.unique_id))

GameModel.py

@@ -9,6 +9,7 @@ from mesa.time import RandomActivation
 from AgentBase import AgentBase
 from ForkliftAgent import ForkliftAgent
 from InitialStateFactory import InitialStateFactory
+from ItemDisplayAgent import ItemDisplayAgent
 from PatchAgent import PatchAgent
 from PatchType import PatchType
 from PictureVisualizationAgent import PictureVisualizationAgent
@@ -36,7 +37,9 @@ class Phase(Enum):
 
 class GameModel(Model):
 
-    def __init__(self, width, height, graph: GridWithWeights, items: int, orders: int, classificator):
+    def __init__(self, width, height, graph: GridWithWeights, items: int, orders: int, classificator,
+                 item_display_pos: List[GridLocation]):
+
         # self.num_agents = 5
         self.first = True
         self.item_recognised = False
@@ -44,10 +47,12 @@ class GameModel(Model):
         self.grid = MultiGrid(height, width, True)
         self.schedule = RandomActivation(self)
         self.current_item_recognition = None
+        self.current_item = None
 
         self.client_delivery: PatchAgent = None
         self.drop_off: PatchAgent = None
         self.graph = graph
+        self.cut_orders : List[Order] = []
 
         self.game_constants = GameConstants(
             width,
@@ -68,15 +73,16 @@ class GameModel(Model):
 
         self.schedule.add(self.forklift_agent)
         self.agents.append(self.forklift_agent)
+        self.item_display_agents: List[ItemDisplayAgent] = []
 
         # INITIALIZATION #
         print("############## INITIALIZATION ##############")
         self.phase = Phase.INIT
-        self.initialize_grid(graph)
+        self.initialize_grid(graph, item_display_pos)
         self.orderList: List[Order] = InitialStateFactory.generate_order_list(orders)
         self.fulfilled_orders: List[Order] = []
-        self.forklift_agent.orderList = self.orderList
         self.forklift_agent.fulfilled_orders = self.fulfilled_orders
+        self.forklift_agent.set_base(self.drop_off)
         self.classificator = classificator
 
         print("############## RECOGNISE ITEMS ##############")
@@ -85,6 +91,8 @@ class GameModel(Model):
         self.items_for_recognization = copy.deepcopy(self.provided_items)
         self.recognised_items: List[Item] = []
 
+        self.current_order_delivered_items = self.forklift_agent.current_order_delivered_items
+
         print("Relocate forklift agent to loading area for item recognition")
 
         pathFinder = PathFinderOnStates(
@@ -98,8 +106,9 @@ class GameModel(Model):
         print("PATHFINDING")
         print(actions)
         self.forklift_agent.queue_movement_actions(actions)
+        self.current_order = self.forklift_agent.current_order
 
-    def initialize_grid(self, graph: GridWithWeights):
+    def initialize_grid(self, graph: GridWithWeights, item_display_pos):
         print("INITIALIZING GRID")
         # Add the agent to a random grid cell
         x = 5
@@ -120,6 +129,7 @@ class GameModel(Model):
         self.place_walls_agents(graph.walls)
         self.place_puddles(graph.puddles)
         self.place_packing_stations(graph.packingStations)
+        self.place_order_items_display(item_display_pos)
 
     def place_dividers(self):
         for i in range(0, 10):
@@ -160,10 +170,24 @@ class GameModel(Model):
             self.agents.append(agent)
             self.grid.place_agent(agent, p[1])
 
+    def place_order_items_display(self, item_positions: List[GridLocation]):
+        for p in item_positions:
+            agent = ItemDisplayAgent(self, p)
+            self.item_display_agents.append(agent)
+            self.grid.place_agent(agent, p)
+
+    def update_item_display(self):
+        self.current_item = self.forklift_agent.current_item
+        for i in range(4):
+            self.item_display_agents[i].image = None
+            if len(self.forklift_agent.current_order_delivered_items) > i:
+                self.item_display_agents[i].image = self.forklift_agent.current_order_delivered_items[i].image
+
     def step(self):
         self.schedule.step()
         self.grid.remove_agent(self.forklift_agent)
         self.grid.place_agent(self.forklift_agent, self.forklift_agent.current_position)
+        self.update_item_display()
 
         if self.phase == Phase.ITEM_RECOGNITION:
             if not self.item_recognised and self.forklift_agent.current_position == self.drop_off.location:
@@ -200,15 +224,70 @@ class GameModel(Model):
             #     print("ORDER {}, PRIO: {}".format(new_orders[i].id, new_orders[i].priority))
 
             self.orderList = new_orders
+            self.count_recognised_items()
+
+            self.sort_orders()
+
+            self.forklift_agent.orderList = self.orderList
 
             print("FINISHED CLIENT ORDER SORTING")
             self.phase = Phase.EXECUTION
 
         if self.phase == Phase.EXECUTION:
-            print("Execution")
+            self.current_order = self.forklift_agent.current_order
+            pass
+            # print("Execution")
+
+    def sort_orders(self):
+        orders_to_fill: [Order] = []
+        cut_orders: [Order] = []
+
+        for i in range(len(self.orderList)):
+            o: Order = self.orderList[i]
+            refrige = self.count_item_type(o, ItemType.REFRIGERATOR)
+            shelf = self.count_item_type(o, ItemType.SHELF)
+            door = self.count_item_type(o, ItemType.DOOR)
+
+            if self.count_shelf - shelf >= 0 and self.count_refrige - refrige >= 0 and self.count_door - door >= 0:
+                self.count_shelf -= shelf
+                self.count_door -= door
+                self.count_refrige -= refrige
+                orders_to_fill.append(o)
+            else:
+                cut_orders.append(o)
+
+        self.cut_orders = cut_orders
+        self.orderList = orders_to_fill
+        self.forklift_agent.orderList = orders_to_fill
+
+    def count_item_type(self, o: Order, itemType: ItemType) -> int:
+        res = 0
+        for i in range(len(o.items)):
+            it: Item = o.items[i]
+            if it.guessed_type == itemType:
+               res += 1
+
+        return res
+
+    def count_recognised_items(self):
+        count_refrige: int = 0
+        count_door: int = 0
+        count_shelf: int = 0
+
+        for i in range(len(self.recognised_items)):
+            item: Item = self.recognised_items[i]
+            if item.guessed_type == ItemType.DOOR:
+                count_door += 1
+            elif item.guessed_type == ItemType.SHELF:
+                count_shelf += 1
+            else:
+                count_refrige += 1
+
+        self.count_door = count_door
+        self.count_shelf = count_shelf
+        self.count_refrige = count_refrige
 
     def recognise_item(self, item: Item):
-        # TODO IMAGE PROCESSING
         val = image_classification(self.picture_visualization.img, self.classificator)
         print("VAL: {}".format(val))
 

InitialStateFactory.py

@@ -5,6 +5,7 @@ from data.Order import Order
 from data.enum.ItemType import ItemType
 from data.enum.Priority import Priority
 from util.ClientParamsFactory import ClientParamsFactory
+from util.PathByEnum import PathByEnum
 
 
 class InitialStateFactory:
@@ -83,4 +84,6 @@ class InitialStateFactory:
     @staticmethod
     def __generate_item() -> Item:
         randomly_picked_type = random.choice(list(ItemType))
-        return Item(randomly_picked_type)
+        item = Item(randomly_picked_type, PathByEnum.get_random_path(randomly_picked_type))
+        item.guessed_type = item.real_type
+        return item

ItemDisplayAgent.py

@@ -0,0 +1,10 @@
+from PatchAgent import PatchAgent
+from PatchType import PatchType
+from util.PathDefinitions import GridLocation
+
+
+class ItemDisplayAgent(PatchAgent):
+
+    def __init__(self, model, location: GridLocation):
+        self.image = None
+        super().__init__(model, location, patch_type=PatchType.itemDisplay)

PatchType.py

@@ -11,3 +11,4 @@ class PatchType(enum.Enum):
     packingRefrigerator = 7
     packingDoor = 8
     divider = 9
+    itemDisplay = 10

data/Item.py

@@ -6,9 +6,10 @@ from data.enum.ItemType import ItemType
 class Item:
     id_counter = count(start=0)
 
-    def __init__(self, item_type: ItemType):
+    def __init__(self, item_type: ItemType, image):
         self.id = next(self.id_counter)
         self.real_type = item_type
+        self.image = image
         self.guessed_type = None
 
     def __repr__(self) -> str:

main.py

@@ -1,24 +1,20 @@
-import math
 import random
 
 from mesa.visualization.ModularVisualization import ModularServer
 from mesa.visualization.modules import CanvasGrid
+from tensorflow import keras
 
 from ForkliftAgent import ForkliftAgent
 from GameModel import GameModel
-from InitialStateFactory import InitialStateFactory
+from ItemDisplayAgent import ItemDisplayAgent
 from PatchAgent import PatchAgent
 from PatchType import PatchType
 from PictureVisualizationAgent import PictureVisualizationAgent
-from data.Order import Order
 from data.enum.Direction import Direction
-from tensorflow import keras
-
-from data.enum.Priority import Priority
-from genetic_order.GeneticOrder import GeneticOrder
 from util.PathDefinitions import GridWithWeights
 from visualization.DisplayAttributeElement import DisplayAttributeElement
 from visualization.DisplayItemListAttribute import DisplayItemListAttributeElement
+from visualization.DisplayOrder import DisplayOrder
 from visualization.DisplayOrderList import DisplayOrderList
 
 colors = [
@@ -39,7 +35,7 @@ def agent_portrayal(agent):
         elif agent.current_rotation == Direction.left:
             shape = "img/image_left.png"
 
-        portrayal = {"Shape": shape, "scale": 1.0, "Layer": 0}
+        portrayal = {"Shape": shape, "scale": 1.0, "Layer": 2}
 
     if isinstance(agent, PatchAgent):
         color = colors[0]
@@ -52,11 +48,11 @@ def agent_portrayal(agent):
         elif agent.patch_type == PatchType.diffTerrain:
             portrayal = {"Shape": "img/puddle.png", "scale": 1.0, "Layer": 0}
         elif agent.patch_type == PatchType.packingShelf:
-            portrayal = {"Shape": "img/shelf_s.jpg", "scale": 1.0, "Layer": 0}
+            portrayal = {"Shape": "img/shelf_s.jpg", "scale": 1.0, "Layer": 1}
         elif agent.patch_type == PatchType.packingRefrigerator:
-            portrayal = {"Shape": "img/fridge_f.jpg", "scale": 1.0, "Layer": 0}
+            portrayal = {"Shape": "img/fridge_f.jpg", "scale": 1.0, "Layer": 1}
         elif agent.patch_type == PatchType.packingDoor:
-            portrayal = {"Shape": "img/door_d.jpg", "scale": 1.0, "Layer": 0}
+            portrayal = {"Shape": "img/door_d.jpg", "scale": 1.0, "Layer": 1}
 
         elif agent.patch_type == PatchType.divider:
             portrayal = \
@@ -78,6 +74,18 @@ def agent_portrayal(agent):
     if isinstance(agent, PictureVisualizationAgent):
         portrayal = {"Shape": f"{agent.img}", "scale": 3.0, "Layer": 0}
 
+    if isinstance(agent, ItemDisplayAgent):
+        if agent is not None and agent.image is not None:
+            portrayal = {"Shape": f"{agent.image}", "scale": 1.0, "Layer": 0}
+        else:
+            portrayal = \
+                {"Shape": "rect",
+                 "Filled": "true",
+                 "Layer": 0,
+                 "Color": "black",
+                 "w": 1,
+                 "h": 1}
+
     return portrayal
 
 
@@ -88,88 +96,32 @@ if __name__ == '__main__':
     scale = base / gridWidth
 
     diagram = GridWithWeights(gridWidth, gridHeight)
-    diagram.walls = [(6, 5), (6, 6), (6, 7), (6, 8), (2, 3), (2, 4), (3, 4), (4, 4), (6, 4)]
-    diagram.puddles = [(2, 2), (2, 5), (2, 6), (5, 4)]
-    diagram.packingStations = [(PatchType.packingShelf, (4, 8)), (PatchType.packingRefrigerator, (4, 6)), (PatchType.packingDoor, (4, 2))]
+    diagram.walls = [(6, 5), (6, 6), (6, 7), (6, 8), (2, 3), (2, 4), (2, 6), (4, 7), (3, 4), (4, 4), (6, 4)]
+    diagram.puddles = [(2, 2), (2, 5), (5, 4), (4, 8), (4, 6), (4, 2)]
+    diagram.packingStations = [(PatchType.packingShelf, (4, 8)), (PatchType.packingRefrigerator, (4, 6)),
+                               (PatchType.packingDoor, (4, 2))]
 
     grid = CanvasGrid(agent_portrayal, gridWidth, gridHeight, scale * gridWidth, scale * gridHeight)
 
+    display_items = [(6, 11), (7, 11), (8, 11), (9, 11)]
+
     readyText = DisplayAttributeElement("phase")
-    # current_item = DisplayPictureElement("current_item_recognition")
     provided_itesm = DisplayItemListAttributeElement("provided_items")
     recognised_items = DisplayItemListAttributeElement("recognised_items")
+    current_order = DisplayOrder("current_order")
+    current_item = DisplayAttributeElement("current_item")
     ordersText = DisplayOrderList("orderList")
     fulfilled_orders = DisplayOrderList("fulfilled_orders")
+    cut_orders = DisplayOrderList("cut_orders")  # MTR!
 
     model = keras.models.load_model("imageClasification/my_model")
 
     server = ModularServer(GameModel,
-                           [grid, readyText, provided_itesm, recognised_items, ordersText,
-                            fulfilled_orders],
+                           [grid, readyText, current_item, current_order, fulfilled_orders, ordersText, provided_itesm,
+                            recognised_items, cut_orders],
                            "Automatyczny Wózek Widłowy",
-                           dict(width=gridHeight, height=gridWidth, graph=diagram, items=50, orders=20, classificator=model))
-
-    # def order_rule(order: Order):
-    #     return order.id
-    #
-    #
-    # punish_low = 500
-    # punish_med = 300
-    # def sum_wrong(member: [Order]) -> int:
-    #     last_high = 0
-    #     last_med = 0
-    #
-    #     sum_high = 0
-    #     sum_med = 0
-    #     sum_low = 0
-    #
-    #     counter = 0
-    #
-    #     for i in range(len(member)):
-    #         o: Order = member[i]
-    #         if o.priority == Priority.HIGH :
-    #             sum_high += 1
-    #             last_high = i
-    #         elif o.priority == Priority.MEDIUM:
-    #             sum_med += 1
-    #             last_med = i
-    #         else:
-    #             sum_low += 1
-    #
-    #     for i in range(last_high):
-    #         o: Order = member[i]
-    #         if o.priority == Priority.MEDIUM:
-    #             counter += punish_med
-    #         elif o.priority == Priority.LOW:
-    #             counter += punish_low
-    #
-    #     for i in range(last_med):
-    #         o: Order = member[i]
-    #         if o.priority == Priority.LOW:
-    #             counter += punish_low
-    #
-    #     print("sum: high:", sum_high, "med:", sum_med, "low:", sum_low)
-    #     print("last_high:", last_high, "last_med:", last_med, "sum:", counter)
-    #     return counter
-    #
-    # orders = InitialStateFactory.generate_order_list_XD(20)
-    # test: GeneticOrder = GeneticOrder(orders)
-    # punish_low = test.punish_low
-    # punish_med = test.punish_med
-    #
-    # print("SIEMA before: ")
-    # sum_wrong(orders)
-    # for i in orders:
-    #     print("id:", i.id, "priority:", i.priority, "sum/time:", i.sum/i.time)
-    #     # print("id:", i.id, "priority:", i.priority)
-    #
-    # newOrders = test.get_orders_sorted(orders)
-    #
-    # print("NAURA after:")
-    # sum_wrong(newOrders)
-    # for i in newOrders:
-    #     print("id:", i.id, "priority:", i.priority, "sum/time:", i.sum/i.time)
-    #     # print("id:", i.id, "priority:", i.priority)
+                           dict(width=gridHeight, height=gridWidth, graph=diagram, items=60, orders=20,
+                                classificator=model, item_display_pos=display_items))
 
     server.port = 8888
     server.launch()

pathfinding/PathfinderOnStates.py

@@ -57,7 +57,7 @@ class PathFinderOnStates:
 
         if action == action.action_type.MOVE:
             if curr_state.agent_position in self.game_constants.diffTerrain:
-                cost = curr_state.cost + 20
+                cost = curr_state.cost + 45
             # tutaj koszt kaluzy
             else:
                 cost = curr_state.cost + 1

visualization/DisplayOrder.py

@@ -0,0 +1,46 @@
+from collections import Counter
+from typing import List
+
+from mesa.visualization.modules import TextElement
+
+from data.Order import Order
+
+
+class DisplayOrder(TextElement):
+    def __init__(self, attr_name):
+        '''
+        Create a new text attribute element.
+
+        Args:
+            attr_name: The name of the attribute to extract from the model.
+
+        Example return: "happy: 10"
+        '''
+        self.attr_name = attr_name
+
+    def render(self, model):
+        val = getattr(model, self.attr_name)
+        res = self.attr_name
+        if val is not None:
+            o = val
+            itemList = map(lambda x: x.real_type, o.items)
+            itemCounter = Counter(itemList)
+
+            item_str = "<ul>"
+            for e in itemCounter:
+                key = e
+                val = itemCounter[key]
+
+                # key_str = ""
+                # if key == ItemType.DOOR:
+                #     key_str = "Door"
+                # elif key == ItemType.SHELF:
+                #     key_str = "Shelf"
+
+                item_str += f"<li>{str(key)}:{str(val)}</li>"
+
+            item_str += "</ul>"
+
+            res += f"<li> items: {item_str} priority: {o.priority} <br> Client: {vars(o.client_params)} </li>"
+
+        return res

visualization/DisplayOrderList.py

@@ -4,7 +4,6 @@ from typing import List
 from mesa.visualization.modules import TextElement
 
 from data.Order import Order
-from data.enum.ItemType import ItemType
 
 
 class DisplayOrderList(TextElement):
@@ -21,7 +20,8 @@ class DisplayOrderList(TextElement):
 
     def render(self, model):
         val = getattr(model, self.attr_name)
-
+        res = ""
+        if val is not None:
             orderList: List[Order] = val
 
             res = self.attr_name + ": <ol>"