log status of every firm product in every time step + mysql

firm.py

@@ -29,14 +29,14 @@ class FirmAgent(ap.Agent):
         self.flt_crit_supplier = float(self.p.crit_supplier)
 
         # init size_stat (self para)
-        # (size, time step), ts -1 denotes initialization
+        # (size, time step)
-        self.size_stat.append((revenue_log, -1))
+        self.size_stat.append((revenue_log, 0))
 
         # init dct_prod_up_prod_stat (self para)
         for prod in a_lst_product:
             self.dct_prod_up_prod_stat[prod] = {
                 # (Normal / Disrupted / Removed, time step)
-                'status': [('N', -1)],  # ts -1 denotes initialization
+                'status': [('N', 0)],
                 # have or have no supply
                 'supply': dict.fromkeys(prod.a_predecessors(), True)
             }
@@ -294,6 +294,11 @@ class FirmAgent(ap.Agent):
 
     def clean_before_trial(self):
         self.dct_request_prod_from_firm = {}
+        for prod in self.dct_prod_up_prod_stat.keys():
+            status, ts = self.dct_prod_up_prod_stat[prod]['status'][-1]
+            if ts != self.model.t:
+                self.dct_prod_up_prod_stat[prod]['status'].append(
+                    (status, self.model.t))
 
     def clean_before_time_step(self):
         self.dct_n_trial_up_prod_disrupted = \

model.py

@@ -17,7 +17,8 @@ class Model(ap.Model):
         self.product_network = None  # agentpy network
         self.firm_network = None  # agentpy network
         self.firm_prod_network = None  # networkx
-        self.dct_lst_disrupt_firm_prod = self.p.dct_lst_init_disrupt_firm_prod
+        self.dct_lst_init_disrupt_firm_prod = \
+            self.p.dct_lst_init_disrupt_firm_prod
 
         # external variable
         self.int_n_max_trial = int(self.p.n_max_trial)
@@ -209,19 +210,20 @@ class Model(ap.Model):
             self.firm_network.add_agents([firm_agent], [ag_node])
         self.a_lst_total_firms = ap.AgentList(self, self.firm_network.agents)
 
-        # init dct_lst_disrupt_firm_prod (from string to agent)
+        # init dct_lst_init_disrupt_firm_prod (from string to agent)
         t_dct = {}
-        for firm_code, lst_product in self.dct_lst_disrupt_firm_prod.items():
+        for firm_code, lst_product in \
+                self.dct_lst_init_disrupt_firm_prod.items():
             firm = self.a_lst_total_firms.select(
                 self.a_lst_total_firms.code == firm_code)[0]
             t_dct[firm] = self.a_lst_total_products.select([
                 code in lst_product for code in self.a_lst_total_products.code
             ])
-        self.dct_lst_disrupt_firm_prod = t_dct
+        self.dct_lst_init_disrupt_firm_prod = t_dct
 
         # set the initial firm product that are disrupted
         print('\n', '=' * 20, 'step', self.t, '=' * 20)
-        for firm, a_lst_product in self.dct_lst_disrupt_firm_prod.items():
+        for firm, a_lst_product in self.dct_lst_init_disrupt_firm_prod.items():
             for product in a_lst_product:
                 assert product in firm.dct_prod_up_prod_stat.keys(), \
                     f"product {product.code} not in firm {firm.code}"
@@ -231,7 +233,7 @@ class Model(ap.Model):
 
         # proactive strategy
         # get all the firm prod affected
-        for firm, a_lst_product in self.dct_lst_disrupt_firm_prod.items():
+        for firm, a_lst_product in self.dct_lst_init_disrupt_firm_prod.items():
             for product in a_lst_product:
                 init_node = \
                     [n for n, v in
@@ -349,8 +351,13 @@ class Model(ap.Model):
                     firm.size_stat.append((size, self.t))
                     print(f'in ts {self.t}, reduce {firm.name} size '
                           f'to {firm.size_stat[-1][0]} due to {prod.code}')
-                    if self.t - ts + 1 == self.remove_t:
+                    lst_is_disrupt = \
+                        [stat == 'D' for stat, _ in
+                         firm.dct_prod_up_prod_stat[prod]['status']
+                         [-1 * self.remove_t:]]
+                    if all(lst_is_disrupt):
                         # turn disrupted firm into removed firm
+                        # when last self.remove_t times status is all disrupted
                         firm.dct_prod_up_prod_stat[
                             prod]['status'].append(('R', self.t))
 
@@ -358,8 +365,11 @@ class Model(ap.Model):
         if self.t > 0:
             for firm in self.a_lst_total_firms:
                 for prod in firm.dct_prod_up_prod_stat.keys():
-                    status, ts = firm.dct_prod_up_prod_stat[prod]['status'][-1]
+                    status, _ = firm.dct_prod_up_prod_stat[prod]['status'][-1]
-                    if status == 'D' and ts != 0:
+                    is_init = \
+                        firm in self.dct_lst_init_disrupt_firm_prod.keys() \
+                        and prod in self.dct_lst_init_disrupt_firm_prod[firm]
+                    if status == 'D' and not is_init:
                         print("not stop because", firm.name, prod.code)
                         break
                 else:
@@ -422,45 +432,30 @@ class Model(ap.Model):
     def end(self):
         print('/' * 20, 'output', '/' * 20)
 
-        for firm in self.a_lst_total_firms:
+        qry_result = db_session.query(Result).filter_by(s_id=self.sample.id)
-            is_size = False
+        if qry_result.count() == 0:
-            for prod, dct_status_supply in firm.dct_prod_up_prod_stat.items():
+            lst_result_info = []
-                if len(dct_status_supply['status']) > 1:
+            for firm in self.a_lst_total_firms:
-                    is_size = True
+                for prod, dct_status_supply in \
-                    print(f"{firm.name} {prod.code}:")
+                        firm.dct_prod_up_prod_stat.items():
-                    print(dct_status_supply['status'])
+                    lst_is_normal = [stat == 'N' for stat, _
-            if is_size:
+                                     in dct_status_supply['status']]
-                print(firm.size_stat)
+                    if not all(lst_is_normal):
-
+                        print(f"{firm.name} {prod.code}:")
-        # qry_result = db_session.query(Result).filter_by(s_id=self.sample.id)
+                        print(dct_status_supply['status'])
-        # if qry_result.count() == 0:
+                        for status, ts in dct_status_supply['status']:
-        #     lst_result_info = []
+                            db_r = Result(s_id=self.sample.id,
-        #     for t, dct in self.lst_dct_lst_disrupt_firm_prod:
+                                          id_firm=firm.code,
-        #         for firm, a_lst_product in dct.items():
+                                          id_product=prod.code,
-        #             for product in a_lst_product:
+                                          ts=ts,
-        #                 db_r = Result(s_id=self.sample.id,
+                                          status=status)
-        #                               id_firm=firm.code,
+                            lst_result_info.append(db_r)
-        #                               id_product=product.code,
+            db_session.bulk_save_objects(lst_result_info)
-        #                               ts=t,
+            db_session.commit()
-        #                               is_disrupted=True)
+        self.sample.is_done_flag = 1
-        #                 lst_result_info.append(db_r)
+        self.sample.computer_name = platform.node()
-        #     db_session.bulk_save_objects(lst_result_info)
+        self.sample.stop_t = self.int_stop_ts
-        #     db_session.commit()
+        db_session.commit()
-        #     for t, dct in self.lst_dct_lst_disrupt_firm_prod:
-        #         for firm, a_lst_product in dct.items():
-        #             for product in a_lst_product:
-        #                 # only firm disrupted can be removed theoretically
-        #                 qry_f_p = db_session.query(Result).filter(
-        #                     Result.s_id == self.sample.id,
-        #                     Result.id_firm == firm.code,
-        #                     Result.id_product == product.code)
-        #                 if qry_f_p.count() == 1:
-        #                     qry_f_p.update({"is_removed": True})
-        #                     db_session.commit()
-        # self.sample.is_done_flag = 1
-        # self.sample.computer_name = platform.node()
-        # self.sample.stop_t = self.int_stop_ts
-        # db_session.commit()
 
     def draw_network(self):
         import matplotlib.pyplot as plt

orm.py

@@ -105,8 +105,7 @@ class Result(Base):
     id_firm = Column(String(10), nullable=False)
     id_product = Column(String(10), nullable=False)
     ts = Column(Integer, nullable=False)
-    is_disrupted = Column(Boolean, nullable=True)
+    status = Column(String(5), nullable=False)
-    is_removed = Column(Boolean, nullable=True)
 
     sample = relationship('Sample', back_populates='result', uselist=False)
 

test.ipynb

@@ -317,6 +317,46 @@
     "print(27 / (4 * 3))\n",
     "print(27 / 4 / 3)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for i in range(1,1):\n",
+    "    print(i)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[6, 7, 8, 9, 10]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lst = list(range(1,11))\n",
+    "print(lst)\n",
+    "\n",
+    "lst[-5:]"
+   ]
   }
  ],
  "metadata": {