log status of every firm product in every time step + mysql
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11
firm.py
11
firm.py
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@ -29,14 +29,14 @@ class FirmAgent(ap.Agent):
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self.flt_crit_supplier = float(self.p.crit_supplier)
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# init size_stat (self para)
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# (size, time step), ts -1 denotes initialization
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self.size_stat.append((revenue_log, -1))
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# (size, time step)
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self.size_stat.append((revenue_log, 0))
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# init dct_prod_up_prod_stat (self para)
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for prod in a_lst_product:
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self.dct_prod_up_prod_stat[prod] = {
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# (Normal / Disrupted / Removed, time step)
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'status': [('N', -1)], # ts -1 denotes initialization
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'status': [('N', 0)],
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# have or have no supply
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'supply': dict.fromkeys(prod.a_predecessors(), True)
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}
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@ -294,6 +294,11 @@ class FirmAgent(ap.Agent):
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def clean_before_trial(self):
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self.dct_request_prod_from_firm = {}
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for prod in self.dct_prod_up_prod_stat.keys():
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status, ts = self.dct_prod_up_prod_stat[prod]['status'][-1]
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if ts != self.model.t:
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self.dct_prod_up_prod_stat[prod]['status'].append(
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(status, self.model.t))
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def clean_before_time_step(self):
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self.dct_n_trial_up_prod_disrupted = \
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85
model.py
85
model.py
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@ -17,7 +17,8 @@ class Model(ap.Model):
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self.product_network = None # agentpy network
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self.firm_network = None # agentpy network
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self.firm_prod_network = None # networkx
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self.dct_lst_disrupt_firm_prod = self.p.dct_lst_init_disrupt_firm_prod
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self.dct_lst_init_disrupt_firm_prod = \
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self.p.dct_lst_init_disrupt_firm_prod
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# external variable
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self.int_n_max_trial = int(self.p.n_max_trial)
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@ -209,19 +210,20 @@ class Model(ap.Model):
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self.firm_network.add_agents([firm_agent], [ag_node])
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self.a_lst_total_firms = ap.AgentList(self, self.firm_network.agents)
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# init dct_lst_disrupt_firm_prod (from string to agent)
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# init dct_lst_init_disrupt_firm_prod (from string to agent)
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t_dct = {}
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for firm_code, lst_product in self.dct_lst_disrupt_firm_prod.items():
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for firm_code, lst_product in \
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self.dct_lst_init_disrupt_firm_prod.items():
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firm = self.a_lst_total_firms.select(
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self.a_lst_total_firms.code == firm_code)[0]
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t_dct[firm] = self.a_lst_total_products.select([
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code in lst_product for code in self.a_lst_total_products.code
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])
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self.dct_lst_disrupt_firm_prod = t_dct
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self.dct_lst_init_disrupt_firm_prod = t_dct
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# set the initial firm product that are disrupted
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print('\n', '=' * 20, 'step', self.t, '=' * 20)
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for firm, a_lst_product in self.dct_lst_disrupt_firm_prod.items():
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for firm, a_lst_product in self.dct_lst_init_disrupt_firm_prod.items():
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for product in a_lst_product:
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assert product in firm.dct_prod_up_prod_stat.keys(), \
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f"product {product.code} not in firm {firm.code}"
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@ -231,7 +233,7 @@ class Model(ap.Model):
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# proactive strategy
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# get all the firm prod affected
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for firm, a_lst_product in self.dct_lst_disrupt_firm_prod.items():
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for firm, a_lst_product in self.dct_lst_init_disrupt_firm_prod.items():
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for product in a_lst_product:
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init_node = \
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[n for n, v in
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@ -349,8 +351,13 @@ class Model(ap.Model):
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firm.size_stat.append((size, self.t))
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print(f'in ts {self.t}, reduce {firm.name} size '
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f'to {firm.size_stat[-1][0]} due to {prod.code}')
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if self.t - ts + 1 == self.remove_t:
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lst_is_disrupt = \
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[stat == 'D' for stat, _ in
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firm.dct_prod_up_prod_stat[prod]['status']
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[-1 * self.remove_t:]]
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if all(lst_is_disrupt):
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# turn disrupted firm into removed firm
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# when last self.remove_t times status is all disrupted
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firm.dct_prod_up_prod_stat[
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prod]['status'].append(('R', self.t))
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@ -358,8 +365,11 @@ class Model(ap.Model):
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if self.t > 0:
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for firm in self.a_lst_total_firms:
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for prod in firm.dct_prod_up_prod_stat.keys():
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status, ts = firm.dct_prod_up_prod_stat[prod]['status'][-1]
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if status == 'D' and ts != 0:
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status, _ = firm.dct_prod_up_prod_stat[prod]['status'][-1]
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is_init = \
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firm in self.dct_lst_init_disrupt_firm_prod.keys() \
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and prod in self.dct_lst_init_disrupt_firm_prod[firm]
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if status == 'D' and not is_init:
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print("not stop because", firm.name, prod.code)
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break
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else:
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@ -422,45 +432,30 @@ class Model(ap.Model):
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def end(self):
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print('/' * 20, 'output', '/' * 20)
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qry_result = db_session.query(Result).filter_by(s_id=self.sample.id)
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if qry_result.count() == 0:
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lst_result_info = []
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for firm in self.a_lst_total_firms:
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is_size = False
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for prod, dct_status_supply in firm.dct_prod_up_prod_stat.items():
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if len(dct_status_supply['status']) > 1:
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is_size = True
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for prod, dct_status_supply in \
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firm.dct_prod_up_prod_stat.items():
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lst_is_normal = [stat == 'N' for stat, _
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in dct_status_supply['status']]
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if not all(lst_is_normal):
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print(f"{firm.name} {prod.code}:")
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print(dct_status_supply['status'])
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if is_size:
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print(firm.size_stat)
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# qry_result = db_session.query(Result).filter_by(s_id=self.sample.id)
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# if qry_result.count() == 0:
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# lst_result_info = []
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# for t, dct in self.lst_dct_lst_disrupt_firm_prod:
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# for firm, a_lst_product in dct.items():
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# for product in a_lst_product:
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# db_r = Result(s_id=self.sample.id,
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# id_firm=firm.code,
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# id_product=product.code,
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# ts=t,
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# is_disrupted=True)
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# lst_result_info.append(db_r)
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# db_session.bulk_save_objects(lst_result_info)
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# db_session.commit()
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# for t, dct in self.lst_dct_lst_disrupt_firm_prod:
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# for firm, a_lst_product in dct.items():
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# for product in a_lst_product:
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# # only firm disrupted can be removed theoretically
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# qry_f_p = db_session.query(Result).filter(
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# Result.s_id == self.sample.id,
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# Result.id_firm == firm.code,
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# Result.id_product == product.code)
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# if qry_f_p.count() == 1:
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# qry_f_p.update({"is_removed": True})
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# db_session.commit()
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# self.sample.is_done_flag = 1
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# self.sample.computer_name = platform.node()
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# self.sample.stop_t = self.int_stop_ts
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# db_session.commit()
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for status, ts in dct_status_supply['status']:
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db_r = Result(s_id=self.sample.id,
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id_firm=firm.code,
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id_product=prod.code,
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ts=ts,
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status=status)
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lst_result_info.append(db_r)
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db_session.bulk_save_objects(lst_result_info)
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db_session.commit()
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self.sample.is_done_flag = 1
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self.sample.computer_name = platform.node()
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self.sample.stop_t = self.int_stop_ts
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db_session.commit()
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def draw_network(self):
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import matplotlib.pyplot as plt
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3
orm.py
3
orm.py
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@ -105,8 +105,7 @@ class Result(Base):
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id_firm = Column(String(10), nullable=False)
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id_product = Column(String(10), nullable=False)
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ts = Column(Integer, nullable=False)
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is_disrupted = Column(Boolean, nullable=True)
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is_removed = Column(Boolean, nullable=True)
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status = Column(String(5), nullable=False)
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sample = relationship('Sample', back_populates='result', uselist=False)
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40
test.ipynb
40
test.ipynb
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@ -317,6 +317,46 @@
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"print(27 / (4 * 3))\n",
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"print(27 / 4 / 3)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"for i in range(1,1):\n",
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" print(i)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"[6, 7, 8, 9, 10]"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"lst = list(range(1,11))\n",
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"print(lst)\n",
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"\n",
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"lst[-5:]"
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]
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}
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],
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"metadata": {
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