最新版本，增加修改很多地方，但是还是有报错

computation.py

@@ -4,6 +4,9 @@ from mesa import Model
 
 
 from typing import TYPE_CHECKING
+
+from model import MyModel
+
 if TYPE_CHECKING:
     from controller_db import ControllerDB
 
@@ -34,7 +37,8 @@ class Computation:
         dct_sample_para = {'sample': sample_random,
                            'seed': sample_random.seed,
                            **dct_exp}
-        model = Model(dct_sample_para)
+
+        model = MyModel(dct_sample_para)
         for i in range(100):
             model.step()
         return False

firm.py

@@ -1,7 +1,9 @@
 from mesa import Agent
+from model import MyModel
+
 
 class FirmAgent(Agent):
-    def __init__(self, unique_id, model, code, type_region, revenue_log, a_lst_product):
+    def __init__(self, unique_id, model, type_region, revenue_log, a_lst_product):
         # 调用超类的 __init__ 方法
         super().__init__(unique_id, model)
 
@@ -10,7 +12,6 @@ class FirmAgent(Agent):
         self.product_network = self.model.product_network
 
         # 初始化代理自身的属性
-        self.code = code
         self.type_region = type_region
 
         self.size_stat = []
@@ -100,7 +101,7 @@ class FirmAgent(Agent):
                         lst_size = [firm.size_stat[-1][0] for firm in self.dct_cand_alt_supp_up_prod_disrupted[product]]
                         lst_prob = [size / sum(lst_size) for size in lst_size]
                         select_alt_supply = \
-                        self.random.choices(self.dct_cand_alt_supp_up_prod_disrupted[product], weights=lst_prob)[0]
+                            self.random.choices(self.dct_cand_alt_supp_up_prod_disrupted[product], weights=lst_prob)[0]
                     else:
                         select_alt_supply = self.random.choice(self.dct_cand_alt_supp_up_prod_disrupted[product])
                 elif len(lst_firm_connect) > 0:
@@ -176,7 +177,7 @@ class FirmAgent(Agent):
                             down_firm.dct_cand_alt_supp_up_prod_disrupted[product].remove(self)
 
     def clean_before_trial(self):
-         self.dct_request_prod_from_firm = {}
+        self.dct_request_prod_from_firm = {}
 
     def clean_before_time_step(self):
         # Reset the number of trials and candidate suppliers for disrupted products

main.py

@@ -49,10 +49,10 @@ def do_computation(c_db):
 if __name__ == '__main__':
     # 输入参数
     parser = argparse.ArgumentParser(description='setting')
-    parser.add_argument('--exp', type=str, default='test')
+    parser.add_argument('--exp', type=str, default='without_exp')
     parser.add_argument('--job', type=int, default='3')
     parser.add_argument('--reset_sample', type=int, default='0')
-    parser.add_argument('--reset_db', type=bool, default=False)
+    parser.add_argument('--reset_db', type=bool, default=True)
 
     args = parser.parse_args()
     # 几核参与进程

model.py

@@ -14,11 +14,17 @@ from product import ProductAgent
 
 class MyModel(Model):
     def __init__(self, params):
+
         # self.num_agents = N
+        self.is_prf_size = params['is_prf_size']
+        self.prf_conn = params['prf_conn']
+        self.cap_limit_prob_type = params['cap_limit_prob_type']
+        self.cap_limit_level = params['cap_limit_level']
+        self.diff_new_conn = params['diff_new_conn']
 
         # NetworkX 图对象
         self.t = 0
-        self.network_graph = nx.DiGraph()
+        self.network_graph = nx.MultiDiGraph()
 
         # NetworkGrid 用于管理网格
         self.grid = NetworkGrid(self.network_graph)
@@ -26,7 +32,7 @@ class MyModel(Model):
         self.data_collector = DataCollector(
             agent_reporters={"Product": "name"}
         )
-        self.schedule = RandomActivation(self)
+
         self.company_agents = []
         self.product_agents = []
 
@@ -166,20 +172,20 @@ class MyModel(Model):
     def initialize_agents(self):
         """ Initialize agents and add them to the model. """
         for ag_node, attr in self.product_network.nodes(data=True):
-            product = ProductAgent(ag_node, self,code=attr['code'], name=attr['Name'])
+            product = ProductAgent(ag_node, self, name=attr['Name'])
-            self.schedule.add(product)
+            self.add_agent(product)
-            self.grid.place_agent(product, ag_node)
+            # self.grid.place_agent(product, ag_node)
 
         for ag_node, attr in self.firm_network.nodes(data=True):
+            a_lst_product = [agent for agent in self.product_agents if agent.unique_id in attr['Product_Code']]
             firm_agent = FirmAgent(
                 ag_node, self,
-                code=attr['Code'],
                 type_region=attr['Type_Region'],
                 revenue_log=attr['Revenue_Log'],
-                a_lst_product=[self.schedule.agents[code] for code in attr['Product_Code']]
+                a_lst_product=a_lst_product,
             )
-            self.schedule.add(firm_agent)
+            self.add_agent(firm_agent)
-            self.grid.place_agent(firm_agent, ag_node)
+            # self.grid.place_agent(firm_agent, ag_node)
 
     def initialize_disruptions(self):
         """ Initialize disruptions in the network. """
@@ -195,9 +201,9 @@ class MyModel(Model):
             self.company_agents.append(agent)
         elif isinstance(agent, ProductAgent):
             self.product_agents.append(agent)
-        self.schedule.add(agent)
 
     def step(self):
+        print(f"Running step {self.t}")
         # 1. Remove edge to customer and disrupt customer up product
         for firm in self.company_agents:
             for prod in firm.dct_prod_up_prod_stat.keys():
@@ -244,4 +250,3 @@ class MyModel(Model):
 
         # Increment the time step
         self.t += 1
-        self.schedule.step()  # Activate all agents in the scheduler

product.py

@@ -1,12 +1,11 @@
 from mesa import Agent
 
 class ProductAgent(Agent):
-    def __init__(self, unique_id, model, code, name):
+    def __init__(self, unique_id, model, name):
         # 调用超类的 __init__ 方法
         super().__init__(unique_id, model)
 
         # 初始化代理属性
-        self.code = code
         self.name = name
         self.product_network = self.model.product_network