def __do_transactions(self, account_list, amount):
for i in account_list:
credit_account = i.get_account()
timestamp = datetime.now()
ta = Transaction(credit_account, self.account, amount, timestamp)
ta.commit()
network.ta_recorder.add_transaction(ta)
def pay_employees(self, employees):
# pay wages of 10% in quids to employees
for employee in employees:
# timestamp
tstamp = datetime.now()
ta_amount = average_employee_wage
ta = Transaction(employee.get_account(), self.account, ta_amount, tstamp)
ta.commit()
total_paid = len(employees) * ta_amount
logger.info("Council paid 10%% of wages in quid to %d workers", len(employees))
logger.info("Council paid %d quids for wages in total.", total_paid)
def trade(self, member, range_factor = 1):
'''
When the individual LqnMember PEM triggers "spend",
depending on the algorithm, at some point everybody does a trade.
So a trade is a transaction of a certain amount, with a
debit and a credit account.
'''
index = random.randint(0,len(self.network.businesses)-1)
creditor = self.network.businesses[index]
credit_account = creditor.get_account()
#create a ta amount at random
ta_amount = random.randrange(lower_range_transaction*range_factor,
upper_range_transaction*range_factor)
#timestamp
tstamp = datetime.now()
ta = Transaction(credit_account,member.get_account(),
ta_amount,tstamp)
try:
ta.commit()
self.network.ta_recorder.add_transaction(ta)
except TransactionFailed:
#do nothing for now
pass
def apply(self, trust_account, target_account, data_accessor, date):
#get the current balance
current_balance = target_account.get_balance()
if (current_balance == 0):
logger.info("Policy cannot be applied: current balance is 0.")
return 0;
# get the average balance
average_balance = target_account.account_history.get_average_balance()
logger.info("Average balance for account %s: %d",
target_account.get_account_holder(),
average_balance)
#get all transactions for this account in the observation period
transactions = data_accessor.\
get_transactions_in_period(self.observation_start,
self.observation_end,
target_account)
#how much will be adjusted
amount = average_balance * self.adjustment_rate
#quids_level is just a variable to store the return value from this
#method, and could be negative or positive.
quids_level = amount
#the sum of all transaction amounts in the observation period
total_transaction_amounts_in_period = 0
#no transactions have been found
if (transactions is not None):
logger.debug("Transactions are available.")
for i in transactions:
total_transaction_amounts_in_period += i.get_amount()
logger.debug("Total transactions in period for %s: %d",
target_account.get_account_holder(),
total_transaction_amounts_in_period)
else:
logger.warn("Transaction are None!")
#if this rule applies, quids will be detracted
if ((total_transaction_amounts_in_period < average_balance) and
amount >0) :
#we cannot detract more than there is on the current balance
if ( current_balance < amount):
amount = current_balance
#create the transaction and commit
ta = Transaction(trust_account, target_account, amount, date)
ta.commit()
logger.info("Policy applied. Removed %d quids from user account %s.",
amount, target_account.get_account_holder())
quids_level = -1*amount #so actually we have a negative amount
#if this rule applies, there's nothing to do (this is arbitrary and
#may be total nonsense)
elif ( (total_transaction_amounts_in_period == average_balance) or
(amount == 0) ):
logger.info("Policy applied: No changes necessary.")
quids_level = 0
#if this rule applies, quies will be injected
else: # (total_transaction_amounts_in_period > average_balance):
#first the trust needs to CREATE the quids in wants to inject
trust_account.credit(amount)
#then create the transaction and commit
ta = Transaction(target_account, trust_account, amount, date)
ta.commit()
logger.info("Policy applied. Injected %d quids to user account %s.",
amount, target_account.get_account_holder())
return quids_level