114 lines
8.4 KiB
Python
114 lines
8.4 KiB
Python
# https://gist.github.com/dperconti/0c3ce81c1bea6593e0989ab58ee411f4
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import datetime
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from pprint import pprint
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from statistics import mean
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TRANSACTIONS = [{"transaction_id":"tx_78e3fa01b572", "transaction_date":"2023-01-01", "transaction_type":"Purchases", "amount":5000, "description":"Online shopping"}, {"transaction_id":"tx_d2c0df115b8c", "transaction_date":"2023-01-01", "transaction_type":"Purchases", "amount":5000, "description":"Electronics purchase"}, {"transaction_id":"tx_225a164814a3", "transaction_date":"2023-01-02", "transaction_type":"Reversals", "reversal_transaction_id":"tx_78e3fa01b572", "amount":-5000, "description":"Merchant reversal"}, {"transaction_id":"tx_9787650c8d88", "transaction_date":"2023-01-03", "transaction_type":"Purchases", "amount":50000, "description":"Online shopping"}, {"transaction_id":"tx_26a6cf6f5c3b", "transaction_date":"2023-01-03", "transaction_type":"Purchases", "amount":30000, "description":"Online shopping"}, {"transaction_id":"tx_4c3511be46d0", "transaction_date":"2023-01-03", "transaction_type":"Refunds", "amount":-1500, "description":"Product return"}, {"transaction_id":"tx_39b600979652", "transaction_date":"2023-01-04", "transaction_type":"Payments", "amount":-5000, "description":"Credit card payment"}, {"transaction_id":"tx_b97f4ae1960b", "transaction_date":"2023-01-05", "transaction_type":"Purchases", "amount":75000, "description":"Grocery shopping"}, {"transaction_id":"tx_3442c1d8c5ad", "transaction_date":"2023-01-05", "transaction_type":"Purchases", "amount":5000, "description":"Grocery shopping"}, {"transaction_id":"tx_47bf2bc1f339", "transaction_date":"2023-01-06", "transaction_type":"Reversals", "reversal_transaction_id":"", "amount":-5000, "description":"Canceled order"}, {"transaction_id":"tx_44c03c248872", "transaction_date":"2023-01-07", "transaction_type":"Payments", "amount":-8000, "description":"Monthly bill payment"}, {"transaction_id":"tx_ca724c1f4489", "transaction_date":"2023-01-08", "transaction_type":"Purchases", "amount":3200, "description":"Electronics purchase"}, {"transaction_id":"tx_8de806648612", "transaction_date":"2023-01-09", "transaction_type":"Payments", "amount":-1500, "description":"Partial payment"}, {"transaction_id":"tx_b2da976e7b15", "transaction_date":"2023-01-10", "transaction_type":"Purchases", "amount":10000, "description":"Flight booking"}, {"transaction_id":"tx_73ab9d775507", "transaction_date":"2023-01-13", "transaction_type":"Purchases", "amount":2000, "description":"Clothing purchase"}, {"transaction_id":"tx_6e906b3ac60b", "transaction_date":"2023-01-15", "reversal_transaction_id":"tx_b2da976e7b15", "transaction_type":"Reversals", "amount":-1000, "description":"Refunded order"}, {"transaction_id":"tx_7500b7c3f436", "transaction_date":"2023-01-15", "transaction_type":"Purchases", "amount":5000, "description":"Medical bill payment"}, {"transaction_id":"tx_58e9c4fbe73c", "transaction_date":"2023-01-16", "transaction_type":"Purchases", "amount":15000, "description":"Restaurant bill"}, {"transaction_id":"tx_c67fcd8b7ca9", "transaction_date":"2023-01-18", "transaction_type":"Payments", "amount":2000, "description":"Utility bill payment"}, {"transaction_id":"tx_35575c16717f", "transaction_date":"2023-01-18", "transaction_type":"Purchases", "amount":6000, "description":"Home appliance purchase"}, {"transaction_id":"tx_fe9cdf650dba", "transaction_date":"2023-01-18", "transaction_type":"Refunds", "amount":-1000, "description":"Canceled subscription refund"}, {"transaction_id":"tx_87d993379c5f", "transaction_date":"2023-01-20", "transaction_type":"Purchases", "amount":3500, "description":"Insurance premium payment"}, {"transaction_id":"tx_ac1e68c1cb15", "transaction_date":"2023-01-21", "transaction_type":"Purchases", "amount":4500, "description":"Gadget purchase"}, {"transaction_id":"tx_ee1575994652", "transaction_date":"2023-01-23", "transaction_type":"Purchases", "amount":1200, "description":"Loan installment payment"}, {"transaction_id":"tx_2d6bd63cef9f", "transaction_date":"2023-01-23", "transaction_type":"Purchases", "amount":1800, "description":"Book purchase"}, {"transaction_id":"tx_90b40faf5710", "transaction_date":"2023-01-23", "transaction_type":"Reversals", "reversal_transaction_id":"tx_ac1e68c1cb15", "amount":-4500, "description":"Gadget Reversal"}, {"transaction_id":"tx_3d6c0567257d", "transaction_date":"2023-01-25", "transaction_type":"Payments", "amount":-9000, "description":"Random repayment"}, {"transaction_id":"tx_39f0d051637a", "transaction_date":"2023-01-26", "transaction_type":"Purchases", "amount":2500, "description":"Gift purchase"}, {"transaction_id":"tx_d7d59bdc5876", "transaction_date":"2023-01-27", "transaction_type":"Purchases", "amount":1800, "description":"Education loan payment"}, {"transaction_id":"tx_d2c0df115b8c", "transaction_date":"2023-01-28", "transaction_type":"Purchases", "amount":4200, "description":"Electronics purchase"}, {"transaction_id":"tx_7254c3c1dc10", "transaction_date":"2023-01-29", "transaction_type":"Payments", "amount":-2500, "description":"Credit card bill payment"}, {"transaction_id":"tx_7254c3c1dc10", "transaction_date":"2023-01-29", "transaction_type":"Payments", "amount":-188700, "description":"Balance Payoff"}]
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class Transactions:
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def __init__(self, transactions, interest=12.34):
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self.interest = interest / 100
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self.transactions = transactions
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self.start_date = datetime.datetime.strptime("2023-01-01", "%Y-%m-%d")
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self.last_date = self._find_last_date()
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self.statement_dates = self._statement_dates()
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self.interest_rate = interest
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def _find_last_date(self):
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dates = sorted(t["transaction_date"] for t in self.transactions)
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if dates:
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return datetime.datetime.strptime(dates[-1], "%Y-%m-%d")
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return self.start_date
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def _statement_dates(self):
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length = 7
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current = self.start_date
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target = self.last_date
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step = datetime.timedelta(days=(length - 1))
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dates = []
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while current <= target:
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chunk = [
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current,
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]
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current += step
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if current > target:
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current = target
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chunk.append(current)
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current += datetime.timedelta(days=1)
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dates.append(chunk)
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return list(map(tuple, dates))
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def balance(self):
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if not self.transactions:
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return None
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return sum(t["amount"] for t in self.transactions)
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def average(self):
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if not self.transactions:
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return None
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return mean(
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t["amount"]
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for t in self.transactions
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if t["transaction_type"] == "Purchases"
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)
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def largest(self):
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if not self.transactions:
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return None
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return max(abs(t["amount"]) for t in self.transactions) # Largest by Volume
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# return max(t["amount"] for t in self.transactions if t['amount'] > 0) # Highest amount over zero
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def statements(self):
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cursor = 0
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statements = {}
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keys = self.statement_dates
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for k in keys:
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statements[k] = {"transactions": []}
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for txn in self.transactions:
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txn_date = datetime.datetime.strptime(txn["transaction_date"], "%Y-%m-%d")
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if not (keys[cursor][0] <= txn_date <= keys[cursor][1]):
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cursor += 1
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statements[keys[cursor]]["transactions"].append(txn)
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return statements
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def statements_print_formatted(self):
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total = 0
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for start_stop, meta in self.statements().items():
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start = datetime.datetime.strftime(start_stop[0], "%Y-%m-%d")
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stop = datetime.datetime.strftime(start_stop[1], "%Y-%m-%d")
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out = f"Date Range: {start} -> {stop}\n"
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for txn in meta["transactions"]:
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total += txn["amount"]
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out += (
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f"* {txn['transaction_date']}"
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f": {txn['transaction_type']}"
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f"\t{txn['amount']}"
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f"\t{total}"
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f"\t{txn['description']}"
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)
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out += "\n"
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print(out)
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def interview():
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txns = Transactions(TRANSACTIONS, interest=12.34)
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balance = txns.balance()
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average = txns.average()
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largest = txns.largest()
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pprint(locals())
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txns.statements_print_formatted()
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# Press the green button in the gutter to run the script.
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if __name__ == "__main__":
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interview()
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# See PyCharm help at https://www.jetbrains.com/help/pycharm/
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