remove firm that denied request from candidate list
This commit is contained in:
parent
aac2607284
commit
7e8980d0c6
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@ -8,9 +8,13 @@
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"name": "Python: Current File",
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"type": "python",
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"request": "launch",
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"program": "C:\\Users\\ASUS\\OneDrive\\Project\\ScrAbm\\Dissertation\\IIabm\\analysis.py",
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"program": "C:\\Users\\ASUS\\OneDrive\\Project\\ScrAbm\\Dissertation\\IIabm\\main.py",
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"console": "integratedTerminal",
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"justMyCode": true
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"justMyCode": true,
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"args": [
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"--exp", "test",
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"--reset_db", "True"
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]
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}
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]
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}
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@ -21,7 +21,8 @@ class Computation:
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# lock this row by update is_done_flag to 0
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self.c_db.lock_the_sample(sample_random)
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print(f"Pid {self.pid} ({str_code}) is running sample {sample_random.id} at {datetime.datetime.now()}")
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print(
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f"Pid {self.pid} ({str_code}) is running sample {sample_random.id} at {datetime.datetime.now()}")
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dct_exp = {column: getattr(sample_random.experiment, column)
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for column in sample_random.experiment.__table__.c.keys()}
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@ -1 +1 @@
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db_name_prefix: not_test
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db_name_prefix: test
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@ -52,7 +52,7 @@ class ControllerDB:
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dct = {code: [product_code]}
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list_dct.append(dct)
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# list_dct = [{'140': ['1.4.5.1']}]
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# list_dct = [{'133': ['1.4.4.1']}]
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list_dct = [{'133': ['1.4.4.1']}]
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# list_dct = [{'2': ['1.1.3']}]
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# list_dct = [{'135': ['1.3.2.1']}]
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# list_dct = [{'79': ['2.1.3.4']}]
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79
firm.py
79
firm.py
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@ -18,7 +18,8 @@ class FirmAgent(ap.Agent):
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self.a_lst_product_disrupted = ap.AgentList(self.model, [])
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self.a_lst_product_removed = ap.AgentList(self.model, [])
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self.dct_n_trial_up_product_removed = {}
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self.dct_n_trial_up_prod_removed = {}
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self.dct_cand_alt_supply_up_prod_removed = {}
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self.dct_request_prod_from_firm = {}
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def remove_edge_to_cus_remove_cus_up_prod(self, remove_product):
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@ -50,32 +51,39 @@ class FirmAgent(ap.Agent):
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customer.a_lst_up_product_removed:
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customer.a_lst_up_product_removed.append(
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remove_product)
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customer.dct_n_trial_up_product_removed[
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customer.dct_n_trial_up_prod_removed[
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remove_product] = 0
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def seek_alt_supply(self):
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for product in self.a_lst_up_product_removed:
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# print(f"{self.name} seek alt supply for {product.code}")
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if self.dct_n_trial_up_product_removed[
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print(f"{self.name} seek alt supply for {product.code}")
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if self.dct_n_trial_up_prod_removed[
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product] <= self.model.int_n_max_trial:
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# select a list of candidate firm that has the product
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candidate_alt_supply = self.model.a_lst_total_firms.select([
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product in firm.a_lst_product
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and product not in firm.a_lst_product_removed
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for firm in self.model.a_lst_total_firms
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])
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if not candidate_alt_supply:
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if self.dct_n_trial_up_prod_removed[product] == 0:
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# select a list of candidate firm that has the product
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self.dct_cand_alt_supply_up_prod_removed[product] = \
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self.model.a_lst_total_firms.select([
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product in firm.a_lst_product
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and product not in firm.a_lst_product_removed
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for firm in self.model.a_lst_total_firms
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])
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if not self.dct_cand_alt_supply_up_prod_removed[product]:
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continue
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# select based on size
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lst_prob = [
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size / sum(candidate_alt_supply.revenue_log)
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for size in candidate_alt_supply.revenue_log
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size /
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sum(self.dct_cand_alt_supply_up_prod_removed[
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product].revenue_log)
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for size in self.dct_cand_alt_supply_up_prod_removed[
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product].revenue_log
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]
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select_alt_supply = self.model.nprandom.choice(
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candidate_alt_supply, p=lst_prob)
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# print(
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# f"{self.name} selct alt supply for {product.code} from {select_alt_supply.name}"
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# )
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self.dct_cand_alt_supply_up_prod_removed[product],
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p=lst_prob)
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print(
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f"{self.name} selct alt supply for {product.code} "
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f"from {select_alt_supply.name}"
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)
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assert product in select_alt_supply.a_lst_product, \
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f"{select_alt_supply} \
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does not produce requested product {product}"
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@ -95,10 +103,10 @@ class FirmAgent(ap.Agent):
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# select_alt_supply.dct_request_prod_from_firm.items()
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# })
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self.dct_n_trial_up_product_removed[product] += 1
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self.dct_n_trial_up_prod_removed[product] += 1
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def handle_request(self):
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# print(self.name, 'handle_request')
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print(self.name, 'handle_request')
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for product, lst_firm in self.dct_request_prod_from_firm.items():
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if self.dct_prod_capacity[product] > 0:
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if len(lst_firm) == 0:
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@ -114,8 +122,12 @@ class FirmAgent(ap.Agent):
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in_edges = self.model.firm_network.graph.in_edges(
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self.model.firm_network.positions[firm], keys=True)
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lst_adj_firm = []
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lst_adj_firm += [ap.AgentIter(self.model, edge[1]).to_list()[0].code for edge in out_edges]
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lst_adj_firm += [ap.AgentIter(self.model, edge[0]).to_list()[0].code for edge in in_edges]
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lst_adj_firm += \
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[ap.AgentIter(self.model, edge[1]).to_list()[
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0].code for edge in out_edges]
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lst_adj_firm += \
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[ap.AgentIter(self.model, edge[0]).to_list()[
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0].code for edge in in_edges]
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if self.code in lst_adj_firm:
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lst_firm_connect.append(firm)
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if len(lst_firm_connect) == 0:
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@ -124,19 +136,21 @@ class FirmAgent(ap.Agent):
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lst_prob = [
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size / sum(lst_firm_size) for size in lst_firm_size
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]
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select_customer = self.model.nprandom.choice(lst_firm,
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p=lst_prob)
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select_customer = \
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self.model.nprandom.choice(lst_firm, p=lst_prob)
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self.accept_request(select_customer, product)
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elif len(lst_firm_connect) == 1:
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self.accept_request(lst_firm_connect[0], product)
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elif len(lst_firm_connect) > 1:
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# handling based on size of firm that has connection
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lst_firm_size = [firm.revenue_log for firm in lst_firm_connect]
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lst_firm_size = [
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firm.revenue_log for firm in lst_firm_connect]
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lst_prob = [
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size / sum(lst_firm_size) for size in lst_firm_size
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]
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select_customer = self.model.nprandom.choice(lst_firm_connect,
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p=lst_prob)
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select_customer = \
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self.model.nprandom.choice(lst_firm_connect,
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p=lst_prob)
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self.accept_request(select_customer, product)
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def accept_request(self, down_firm, product):
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@ -151,18 +165,21 @@ class FirmAgent(ap.Agent):
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(self.firm_network.positions[self],
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self.firm_network.positions[down_firm], {
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'Product': product.code
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})
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})
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])
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self.dct_prod_capacity[product] -= 1
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self.dct_request_prod_from_firm[product].remove(down_firm)
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down_firm.a_lst_up_product_removed.remove(product)
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# print(
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# f"{self.name} accept {product.code} request from {down_firm.name}"
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# )
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print(
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f"{self.name} accept {product.code} request "
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f"from {down_firm.name}"
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)
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else:
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down_firm.dct_cand_alt_supply_up_prod_removed[product].remove(self)
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def clean_before_trial(self):
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self.dct_request_prod_from_firm = {}
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def clean_before_time_step(self):
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self.dct_n_trial_up_product_removed = {}
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self.dct_n_trial_up_prod_removed = {}
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self.a_lst_up_product_removed = ap.AgentList(self.model, [])
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2
model.py
2
model.py
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@ -221,7 +221,7 @@ class Model(ap.Model):
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1) / (max(lst_size) - min(lst_size) + 1)
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prod_remove = 1 - std_size * (1 - lost_percent)
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if self.nprandom.choice(
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[True, False], p=[prod_remove, 1 - prod_remove]):
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[True, False], p=[prod_remove, 1 - prod_remove]):
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firm.a_lst_product_removed.append(product)
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if firm in self.dct_lst_remove_firm_prod.keys():
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self.dct_lst_remove_firm_prod[firm].append(
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21
orm.py
21
orm.py
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@ -23,9 +23,11 @@ with open('conf_db_prefix.yaml') as file:
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str_login = 'mysql://{}:{}@{}:{}/{}'.format(dct_conf_db['user_name'], dct_conf_db['password'],
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dct_conf_db['address'], dct_conf_db['port'], dct_conf_db['db_name'])
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print('DB is {}:{}/{}'.format(dct_conf_db['address'], dct_conf_db['port'], dct_conf_db['db_name']))
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print('DB is {}:{}/{}'.format(dct_conf_db['address'],
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dct_conf_db['port'], dct_conf_db['db_name']))
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engine = create_engine(str_login, poolclass=NullPool) # must be null pool to avoid connection lost error
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# must be null pool to avoid connection lost error
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engine = create_engine(str_login, poolclass=NullPool)
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ins = inspect(engine)
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Base = declarative_base()
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@ -48,7 +50,8 @@ class Experiment(Base):
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dct_lst_init_remove_firm_prod = Column(PickleType, nullable=False)
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g_bom = Column(Text(4294000000), nullable=False)
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sample = relationship('Sample', back_populates='experiment', lazy='dynamic')
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sample = relationship(
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'Sample', back_populates='experiment', lazy='dynamic')
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def __repr__(self):
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return f'<Experiment: {self.id}>'
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@ -57,18 +60,21 @@ class Experiment(Base):
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class Sample(Base):
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__tablename__ = f"{db_name_prefix}_sample"
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id = Column(Integer, primary_key=True, autoincrement=True)
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e_id = Column(Integer, ForeignKey('{}.id'.format(f"{db_name_prefix}_experiment")), nullable=False)
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e_id = Column(Integer, ForeignKey('{}.id'.format(
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f"{db_name_prefix}_experiment")), nullable=False)
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idx_sample = Column(Integer, nullable=False)
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seed = Column(BigInteger, nullable=False)
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is_done_flag = Column(Integer, nullable=False) # -1, waiting; 0, running; 1, done
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# -1, waiting; 0, running; 1, done
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is_done_flag = Column(Integer, nullable=False)
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computer_name = Column(String(64), nullable=True)
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ts_done = Column(DateTime(timezone=True), onupdate=func.now())
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stop_t = Column(Integer, nullable=True)
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g_firm = Column(Text(4294000000), nullable=True)
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experiment = relationship('Experiment', back_populates='sample', uselist=False)
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experiment = relationship(
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'Experiment', back_populates='sample', uselist=False)
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result = relationship('Result', back_populates='sample', lazy='dynamic')
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def __repr__(self):
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@ -78,7 +84,8 @@ class Sample(Base):
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class Result(Base):
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__tablename__ = f"{db_name_prefix}_result"
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id = Column(Integer, primary_key=True, autoincrement=True)
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s_id = Column(Integer, ForeignKey('{}.id'.format(f"{db_name_prefix}_sample")), nullable=False)
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s_id = Column(Integer, ForeignKey('{}.id'.format(
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f"{db_name_prefix}_sample")), nullable=False)
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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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10
product.py
10
product.py
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@ -16,8 +16,8 @@ class ProductAgent(ap.Agent):
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[ap.AgentIter(self.model, node).to_list()[0] for node in nodes])
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def a_predecessors(self):
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nodes = self.product_network.graph.predecessors(
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self.product_network.positions[self])
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return ap.AgentList(
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self.model,
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[ap.AgentIter(self.model, node).to_list()[0] for node in nodes])
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nodes = self.product_network.graph.predecessors(
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self.product_network.positions[self])
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return ap.AgentList(
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self.model,
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[ap.AgentIter(self.model, node).to_list()[0] for node in nodes])
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