From 51460aea8f8cf97488e4b32612ce1585b6191072 Mon Sep 17 00:00:00 2001 From: Tyrel Souza Date: Tue, 12 Sep 2023 18:49:02 +0000 Subject: [PATCH] Add ness.py --- ness.py | 112 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 112 insertions(+) create mode 100644 ness.py diff --git a/ness.py b/ness.py new file mode 100644 index 0000000..5f3ed1b --- /dev/null +++ b/ness.py @@ -0,0 +1,112 @@ +import datetime +from pprint import pprint +from statistics import mean + +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"}] + +class Transactions: + def __init__(self, transactions, interest=12.34): + self.interest = interest / 100 + self.transactions = transactions + self.start_date = datetime.datetime.strptime("2023-01-01", "%Y-%m-%d") + self.last_date = self._find_last_date() + self.statement_dates = self._statement_dates() + self.interest_rate = interest + + def _find_last_date(self): + dates = sorted(t["transaction_date"] for t in self.transactions) + if dates: + return datetime.datetime.strptime(dates[-1], "%Y-%m-%d") + return self.start_date + + def _statement_dates(self): + length = 7 + current = self.start_date + target = self.last_date + + step = datetime.timedelta(days=(length - 1)) + + dates = [] + while current <= target: + chunk = [ + current, + ] + current += step + if current > target: + current = target + chunk.append(current) + current += datetime.timedelta(days=1) + dates.append(chunk) + return list(map(tuple, dates)) + + def balance(self): + if not self.transactions: + return None + return sum(t["amount"] for t in self.transactions) + + def average(self): + if not self.transactions: + return None + return mean( + t["amount"] + for t in self.transactions + if t["transaction_type"] == "Purchases" + ) + + def largest(self): + if not self.transactions: + return None + return max(abs(t["amount"]) for t in self.transactions) # Largest by Volume + # return max(t["amount"] for t in self.transactions if t['amount'] > 0) # Highest amount over zero + + def statements(self): + cursor = 0 + statements = {} + keys = self.statement_dates + for k in keys: + statements[k] = {"transactions": []} + + for txn in self.transactions: + txn_date = datetime.datetime.strptime(txn["transaction_date"], "%Y-%m-%d") + if not (keys[cursor][0] <= txn_date <= keys[cursor][1]): + cursor += 1 + statements[keys[cursor]]["transactions"].append(txn) + return statements + + def statements_print_formatted(self): + total = 0 + for start_stop, meta in self.statements().items(): + start = datetime.datetime.strftime(start_stop[0], "%Y-%m-%d") + stop = datetime.datetime.strftime(start_stop[1], "%Y-%m-%d") + out = f"Date Range: {start} -> {stop}\n" + for txn in meta["transactions"]: + total += txn["amount"] + out += ( + f"* {txn['transaction_date']}" + f": {txn['transaction_type']}" + f"\t{txn['amount']}" + f"\t{total}" + f"\t{txn['description']}" + ) + out += "\n" + + print(out) + + +def interview(): + txns = Transactions(TRANSACTIONS, interest=12.34) + + balance = txns.balance() + average = txns.average() + largest = txns.largest() + + pprint(locals()) + + txns.statements_print_formatted() + + +# Press the green button in the gutter to run the script. +if __name__ == "__main__": + interview() + +# See PyCharm help at https://www.jetbrains.com/help/pycharm/