exp connect first

This commit is contained in:
HaoYizhi 2023-06-10 20:56:34 +08:00
parent 313870bcc3
commit 7a08a52f3f
11 changed files with 62 additions and 47 deletions

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@ -75,7 +75,8 @@ class ControllerDB:
# list_dct = [{'133': ['1.4.4.1']}] # list_dct = [{'133': ['1.4.4.1']}]
# list_dct = [{'2': ['1.1.3']}] # list_dct = [{'2': ['1.1.3']}]
# list_dct = [{'135': ['1.3.2.1']}] # list_dct = [{'135': ['1.3.2.1']}]
list_dct = [{'79': ['2.1.3.4']}] # list_dct = [{'79': ['2.1.3.4']}]
list_dct = [{'99': ['1.3.3']}]
# fill g_bom # fill g_bom
BomNodes = pd.read_csv('BomNodes.csv', index_col=0) BomNodes = pd.read_csv('BomNodes.csv', index_col=0)
@ -94,7 +95,7 @@ class ControllerDB:
df_xv = pd.read_csv("xv_without_exp.csv", index_col=None) df_xv = pd.read_csv("xv_without_exp.csv", index_col=None)
# read the OA table # read the OA table
df_oa = pd.read_csv("oa_without_exp.csv", index_col=None) df_oa = pd.read_csv("oa_without_exp.csv", index_col=None)
df_oa = df_oa.iloc[:, 0:10] df_oa = df_oa.iloc[:, 0:df_xv.shape[1]]
for idx_scenario, row in df_oa.iterrows(): for idx_scenario, row in df_oa.iterrows():
dct_exp_para = {} dct_exp_para = {}
for idx_col, para_level in enumerate(row): for idx_col, para_level in enumerate(row):
@ -112,10 +113,11 @@ class ControllerDB:
def add_experiment_1(self, idx_scenario, idx_init_removal, def add_experiment_1(self, idx_scenario, idx_init_removal,
dct_lst_init_remove_firm_prod, g_bom, dct_lst_init_remove_firm_prod, g_bom,
n_max_trial, crit_supplier, firm_req_prf_size, n_max_trial, crit_supplier,
firm_acc_prf_size, netw_sply_prf_n, firm_req_prf_size, firm_req_prf_conn,
netw_sply_prf_size, cap_limit, diff_new_conn, firm_acc_prf_size, firm_acc_prf_conn,
diff_remove, proactive_ratio): netw_sply_prf_n, netw_sply_prf_size, cap_limit,
diff_new_conn, diff_remove, proactive_ratio):
e = Experiment( e = Experiment(
idx_scenario=idx_scenario, idx_scenario=idx_scenario,
idx_init_removal=idx_init_removal, idx_init_removal=idx_init_removal,
@ -126,7 +128,9 @@ class ControllerDB:
n_max_trial=n_max_trial, n_max_trial=n_max_trial,
crit_supplier=crit_supplier, crit_supplier=crit_supplier,
firm_req_prf_size=firm_req_prf_size, firm_req_prf_size=firm_req_prf_size,
firm_req_prf_conn=firm_req_prf_conn,
firm_acc_prf_size=firm_acc_prf_size, firm_acc_prf_size=firm_acc_prf_size,
firm_acc_prf_conn=firm_acc_prf_conn,
netw_sply_prf_n=netw_sply_prf_n, netw_sply_prf_n=netw_sply_prf_n,
netw_sply_prf_size=netw_sply_prf_size, netw_sply_prf_size=netw_sply_prf_size,
cap_limit=cap_limit, cap_limit=cap_limit,

77
firm.py
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@ -25,7 +25,9 @@ class FirmAgent(ap.Agent):
# para # para
self.flt_crit_supplier = float(self.p.crit_supplier) self.flt_crit_supplier = float(self.p.crit_supplier)
self.flt_firm_req_prf_size = float(self.p.firm_req_prf_size) self.flt_firm_req_prf_size = float(self.p.firm_req_prf_size)
self.is_firm_req_prf_conn = bool(self.p.firm_req_prf_conn)
self.flt_firm_acc_prf_size = float(self.p.firm_acc_prf_size) self.flt_firm_acc_prf_size = float(self.p.firm_acc_prf_size)
self.is_firm_acc_prf_conn = bool(self.p.firm_acc_prf_conn)
self.flt_diff_new_conn = float(self.p.diff_new_conn) self.flt_diff_new_conn = float(self.p.diff_new_conn)
def remove_edge_to_cus_remove_cus_up_prod(self, remove_product): def remove_edge_to_cus_remove_cus_up_prod(self, remove_product):
@ -78,20 +80,22 @@ class FirmAgent(ap.Agent):
continue continue
# select based on connection # select based on connection
lst_firm_connect = [] lst_firm_connect = []
for firm in self.dct_cand_alt_supply_up_prod_removed[product]: if self.is_firm_req_prf_conn:
out_edges = self.model.firm_network.graph.out_edges( for firm in \
self.model.firm_network.positions[firm], keys=True) self.dct_cand_alt_supply_up_prod_removed[product]:
in_edges = self.model.firm_network.graph.in_edges( out_edges = self.model.firm_network.graph.out_edges(
self.model.firm_network.positions[firm], keys=True) self.model.firm_network.positions[firm], keys=True)
lst_adj_firm = [] in_edges = self.model.firm_network.graph.in_edges(
lst_adj_firm += \ self.model.firm_network.positions[firm], keys=True)
[ap.AgentIter(self.model, edge[1]).to_list()[ lst_adj_firm = []
0].code for edge in out_edges] lst_adj_firm += \
lst_adj_firm += \ [ap.AgentIter(self.model, edge[1]).to_list()[
[ap.AgentIter(self.model, edge[0]).to_list()[ 0].code for edge in out_edges]
0].code for edge in in_edges] lst_adj_firm += \
if self.code in lst_adj_firm: [ap.AgentIter(self.model, edge[0]).to_list()[
lst_firm_connect.append(firm) 0].code for edge in in_edges]
if self.code in lst_adj_firm:
lst_firm_connect.append(firm)
if len(lst_firm_connect) == 0: if len(lst_firm_connect) == 0:
# select based on size # select based on size
lst_size_damp = \ lst_size_damp = \
@ -106,8 +110,8 @@ class FirmAgent(ap.Agent):
elif len(lst_firm_connect) > 0: elif len(lst_firm_connect) > 0:
# select based on size of firm that has connection # select based on size of firm that has connection
lst_firm_size_damp = \ lst_firm_size_damp = \
[size ** self.flt_firm_acc_prf_size [firm.revenue_log ** self.flt_firm_acc_prf_size
for size in lst_firm_connect.revenue_log] for firm in lst_firm_connect]
lst_prob = \ lst_prob = \
[size_damp / sum(lst_firm_size_damp) [size_damp / sum(lst_firm_size_damp)
for size_damp in lst_firm_size_damp] for size_damp in lst_firm_size_damp]
@ -150,25 +154,30 @@ class FirmAgent(ap.Agent):
elif len(lst_firm) > 1: elif len(lst_firm) > 1:
# handling based on connection # handling based on connection
lst_firm_connect = [] lst_firm_connect = []
for firm in lst_firm: if self.is_firm_acc_prf_conn:
out_edges = self.model.firm_network.graph.out_edges( for firm in lst_firm:
self.model.firm_network.positions[firm], keys=True) out_edges = \
in_edges = self.model.firm_network.graph.in_edges( self.model.firm_network.graph.out_edges(
self.model.firm_network.positions[firm], keys=True) self.model.firm_network.positions[firm],
lst_adj_firm = [] keys=True)
lst_adj_firm += \ in_edges = \
[ap.AgentIter(self.model, edge[1]).to_list()[ self.model.firm_network.graph.in_edges(
0].code for edge in out_edges] self.model.firm_network.positions[firm],
lst_adj_firm += \ keys=True)
[ap.AgentIter(self.model, edge[0]).to_list()[ lst_adj_firm = []
0].code for edge in in_edges] lst_adj_firm += \
if self.code in lst_adj_firm: [ap.AgentIter(self.model, edge[1]).to_list()[
lst_firm_connect.append(firm) 0].code for edge in out_edges]
lst_adj_firm += \
[ap.AgentIter(self.model, edge[0]).to_list()[
0].code for edge in in_edges]
if self.code in lst_adj_firm:
lst_firm_connect.append(firm)
if len(lst_firm_connect) == 0: if len(lst_firm_connect) == 0:
# handling based on size # handling based on size
lst_firm_size_damp = \ lst_firm_size_damp = \
[size ** self.flt_firm_acc_prf_size [firm.revenue_log ** self.flt_firm_acc_prf_size
for size in lst_firm.revenue_log] for firm in lst_firm]
lst_prob = \ lst_prob = \
[size_damp / sum(lst_firm_size_damp) [size_damp / sum(lst_firm_size_damp)
for size_damp in lst_firm_size_damp] for size_damp in lst_firm_size_damp]
@ -178,8 +187,8 @@ class FirmAgent(ap.Agent):
elif len(lst_firm_connect) > 0: elif len(lst_firm_connect) > 0:
# handling based on size of firm that has connection # handling based on size of firm that has connection
lst_firm_size_damp = \ lst_firm_size_damp = \
[size ** self.flt_firm_acc_prf_size [firm.revenue_log ** self.flt_firm_acc_prf_size
for size in lst_firm_connect.revenue_log] for firm in lst_firm_connect]
lst_prob = \ lst_prob = \
[size_damp / sum(lst_firm_size_damp) [size_damp / sum(lst_firm_size_damp)
for size_damp in lst_firm_size_damp] for size_damp in lst_firm_size_damp]

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@ -277,7 +277,7 @@ class Model(ap.Model):
break break
# draw network # draw network
# self.draw_network() self.draw_network()
def update(self): def update(self):
self.a_lst_total_firms.clean_before_time_step() self.a_lst_total_firms.clean_before_time_step()

2
orm.py
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@ -57,7 +57,9 @@ class Experiment(Base):
n_max_trial = Column(Integer, nullable=False) n_max_trial = Column(Integer, nullable=False)
crit_supplier = Column(DECIMAL(8, 4), nullable=False) crit_supplier = Column(DECIMAL(8, 4), nullable=False)
firm_req_prf_size = Column(DECIMAL(8, 4), nullable=False) firm_req_prf_size = Column(DECIMAL(8, 4), nullable=False)
firm_req_prf_conn = Column(Boolean, nullable=False)
firm_acc_prf_size = Column(DECIMAL(8, 4), nullable=False) firm_acc_prf_size = Column(DECIMAL(8, 4), nullable=False)
firm_acc_prf_conn = Column(Boolean, nullable=False)
netw_sply_prf_n = Column(DECIMAL(8, 4), nullable=False) netw_sply_prf_n = Column(DECIMAL(8, 4), nullable=False)
netw_sply_prf_size = Column(DECIMAL(8, 4), nullable=False) netw_sply_prf_size = Column(DECIMAL(8, 4), nullable=False)
cap_limit = Column(Integer, nullable=False) cap_limit = Column(Integer, nullable=False)

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@ -1,4 +1,4 @@
n_max_trial,crit_supplier,firm_req_prf_size,firm_acc_prf_size,netw_sply_prf_size,netw_pref_supp_size,cap_limit,diff_new_conn,diff_remove,proactive_ratio n_max_trial,crit_supplier,firm_req_prf_size,firm_req_prf_conn,firm_acc_prf_size,firm_acc_prf_conn,netw_sply_prf_size,netw_pref_supp_size,cap_limit,diff_new_conn,diff_remove,proactive_ratio
15,2,2,2,0.5,2,4,0.5,0.5,0.4 15,2,2,True,2,True,0.5,2,4,0.5,0.5,0.4
10,1,1,1,1,1,2,1,1,0.6 10,1,1,False,1,False,1,1,2,1,1,0.6
5,0.5,0.5,0.5,2,0.5,1,2,2,0.8 5,0.5,0.5,,0.5,,2,0.5,1,2,2,0.8

1 n_max_trial crit_supplier firm_req_prf_size firm_req_prf_conn firm_acc_prf_size firm_acc_prf_conn netw_sply_prf_size netw_pref_supp_size cap_limit diff_new_conn diff_remove proactive_ratio
2 15 2 2 True 2 True 0.5 2 4 0.5 0.5 0.4
3 10 1 1 False 1 False 1 1 2 1 1 0.6
4 5 0.5 0.5 0.5 2 0.5 1 2 2 0.8

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@ -1,2 +1,2 @@
n_max_trial,crit_supplier,firm_req_prf_size,firm_acc_prf_size,netw_sply_prf_n,netw_sply_prf_size,cap_limit,diff_new_conn,diff_remove,proactive_ratio n_max_trial,crit_supplier,firm_req_prf_size,firm_req_prf_conn,firm_acc_prf_size,firm_acc_prf_conn,netw_sply_prf_n,netw_sply_prf_size,cap_limit,diff_new_conn,diff_remove,proactive_ratio
10,1,1,1,1,1,2,1,1,0.8 10,1,1,True,1,True,1,1,2,1,1,0.2

1 n_max_trial crit_supplier firm_req_prf_size firm_req_prf_conn firm_acc_prf_size firm_acc_prf_conn netw_sply_prf_n netw_sply_prf_size cap_limit diff_new_conn diff_remove proactive_ratio
2 10 1 1 True 1 True 1 1 2 1 1 0.8 0.2