proactive strategy exp

model.py

@@ -25,6 +25,7 @@ class Model(ap.Model):
         self.flt_netw_pref_cust_size = float(self.p.netw_pref_cust_size)
         self.flt_cap_limit = int(self.p.cap_limit)
         self.flt_diff_remove = float(self.p.diff_remove)
+        self.proactive_ratio = float(self.p.proactive_ratio)
 
         # init graph bom
         G_bom = nx.adjacency_graph(json.loads(self.p.g_bom))
@@ -172,7 +173,6 @@ class Model(ap.Model):
                 firm.a_lst_product_removed.append(product)
 
         # proactive strategy
-        proactive_ratio = 1.0
         # get all the firm prod affected
         for firm, a_lst_product in self.dct_lst_remove_firm_prod.items():
             for product in a_lst_product:
@@ -198,7 +198,7 @@ class Model(ap.Model):
                     [lst_affected[i] for i in
                      self.nprandom.choice(range(len(lst_affected)),
                                           round(len(lst_affected) *
-                                                proactive_ratio))]
+                                                self.proactive_ratio))]
 
                 for firm_code, prod_code in lst_firm_proactive:
                     pro_firm_prod_code = \
@@ -266,11 +266,15 @@ class Model(ap.Model):
                                     'Product': di_supp_prod.code
                                 })
                             ])
+                            # print(f"proactive add {select_cand.code} to "
+                            #       f"{pro_firm.code} "
+                            #       f"for {di_supp_code} {di_supp_prod.code}")
                             # change capacity
                             select_cand.dct_prod_capacity[di_supp_prod] -= 1
+                            break
 
         # draw network
-        self.draw_network()
+        # self.draw_network()
 
     def update(self):
         self.a_lst_total_firms.clean_before_time_step()