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firm.py
56
firm.py
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@ -78,8 +78,8 @@ class FirmAgent(ap.Agent):
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customer.dct_prod_up_prod_stat[
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prod]['s_stat'][disrupted_prod][
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'set_disrupt_firm'].add(self)
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print(f"{self.name} disrupt {customer.name}'s "
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f"{prod.code} due to {disrupted_prod.code}")
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# print(f"{self.name} disrupt {customer.name}'s "
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# f"{prod.code} due to {disrupted_prod.code}")
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# remove edge to customer
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self.firm_network.graph.remove_edge(n1, n2, key)
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@ -113,12 +113,12 @@ class FirmAgent(ap.Agent):
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if status != 'D':
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self.dct_prod_up_prod_stat[
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prod]['p_stat'].append(('D', self.model.t))
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print(f"{self.name}'s {prod.code} turn to D status due to "
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f"disrupted supplier of {disrupted_up_prod.code}")
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# print(f"{self.name}'s {prod.code} turn to D status due to "
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# f"disrupted supplier of {disrupted_up_prod.code}")
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def seek_alt_supply(self, product):
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# para product is the product that self is seeking
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print(f"{self.name} seek alt supply for {product.code}")
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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_disrupted[
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product] <= self.model.int_n_max_trial:
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if self.dct_n_trial_up_prod_disrupted[product] == 0:
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@ -171,10 +171,10 @@ class FirmAgent(ap.Agent):
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else:
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select_alt_supply = \
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self.model.nprandom.choice(lst_firm_connect)
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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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# 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 select_alt_supply.is_prod_in_current_normal(product), \
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f"{select_alt_supply} \
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does not produce requested product {product}"
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@ -187,17 +187,17 @@ class FirmAgent(ap.Agent):
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select_alt_supply.dct_request_prod_from_firm[product] = [
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self
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]
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print(
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select_alt_supply.name, 'dct_request_prod_from_firm', {
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key.code: [v.name for v in value]
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for key, value in
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select_alt_supply.dct_request_prod_from_firm.items()
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})
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# print(
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# select_alt_supply.name, 'dct_request_prod_from_firm', {
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# key.code: [v.name for v in value]
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# for key, value in
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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_prod_disrupted[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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@ -252,10 +252,10 @@ class FirmAgent(ap.Agent):
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down_firm.dct_cand_alt_supp_up_prod_disrupted[
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product].remove(self)
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print(
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f"{self.name} denied {product.code} request "
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f"from {down_firm.name} for lack of capacity"
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)
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# print(
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# f"{self.name} denied {product.code} request "
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# f"from {down_firm.name} for lack of capacity"
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# )
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def accept_request(self, down_firm, product):
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# para product is the product that self is selling
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@ -288,17 +288,17 @@ class FirmAgent(ap.Agent):
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del down_firm.dct_n_trial_up_prod_disrupted[product]
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del down_firm.dct_cand_alt_supp_up_prod_disrupted[product]
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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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# 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_supp_up_prod_disrupted[product].remove(self)
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print(
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f"{self.name} denied {product.code} request "
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f"from {down_firm.name}"
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)
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# print(
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# f"{self.name} denied {product.code} request "
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# f"from {down_firm.name}"
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# )
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def clean_before_trial(self):
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self.dct_request_prod_from_firm = {}
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28
model.py
28
model.py
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@ -222,14 +222,14 @@ class Model(ap.Model):
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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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# print('\n', '=' * 20, 'step', self.t, '=' * 20)
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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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firm.dct_prod_up_prod_stat[
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product]['p_stat'].append(('D', self.t))
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print(f"initial disruption {firm.name} {product.code}")
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# print(f"initial disruption {firm.name} {product.code}")
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# proactive strategy
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# get all the firm prod affected
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@ -331,10 +331,10 @@ class Model(ap.Model):
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'Product': di_supp_prod.code
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})
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])
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print(f"proactive add {select_cand.name} to "
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f"{pro_firm.name} "
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f"for {di_supp_node['Firm_Code']} "
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f"{di_supp_node['Product_Code']}")
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# print(f"proactive add {select_cand.name} to "
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# f"{pro_firm.name} "
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# f"for {di_supp_node['Firm_Code']} "
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# f"{di_supp_node['Product_Code']}")
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# change capacity
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select_cand.dct_prod_capacity[di_supp_prod] -= 1
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break
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@ -356,8 +356,8 @@ class Model(ap.Model):
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/ len(firm.dct_prod_up_prod_stat.keys()) \
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/ self.remove_t
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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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# 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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lst_is_disrupt = \
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[stat == 'D' for stat, _ in
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firm.dct_prod_up_prod_stat[prod]['p_stat']
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@ -377,7 +377,7 @@ class Model(ap.Model):
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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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# print("not stop because", firm.name, prod.code)
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break
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else:
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continue
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@ -390,7 +390,7 @@ class Model(ap.Model):
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self.stop()
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def step(self):
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print('\n', '=' * 20, 'step', self.t, '=' * 20)
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# print('\n', '=' * 20, 'step', self.t, '=' * 20)
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# remove edge to customer and disrupt customer up product
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for firm in self.a_lst_total_firms:
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@ -410,7 +410,7 @@ class Model(ap.Model):
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firm.disrupt_cus_prod(prod, up_prod)
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for n_trial in range(self.int_n_max_trial):
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print('=' * 10, 'trial', n_trial, '=' * 10)
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# print('=' * 10, 'trial', n_trial, '=' * 10)
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# seek_alt_supply
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# shuffle self.a_lst_total_firms
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self.a_lst_total_firms = self.a_lst_total_firms.shuffle()
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@ -447,7 +447,7 @@ class Model(ap.Model):
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# self.a_lst_total_firms.dct_request_prod_from_firm = {} why?
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def end(self):
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print('/' * 20, 'output', '/' * 20)
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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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@ -458,8 +458,8 @@ class Model(ap.Model):
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lst_is_normal = [stat == 'N' for stat, _
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in dct_status_supply['p_stat']]
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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['p_stat'])
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# print(f"{firm.name} {prod.code}:")
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# print(dct_status_supply['p_stat'])
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for status, ts in dct_status_supply['p_stat']:
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db_r = Result(s_id=self.sample.id,
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id_firm=firm.code,
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