Converted from mecurial

cli.py

@@ -0,0 +1,125 @@
+import json
+from decimal import *
+from datetime import *
+
+##############################################################################
+#
+# This is the BQL query to put into Fava to generate the CSV that can be used
+# to create the JSON file for this.  Might consider reading in the CSV directly
+# and prompting for the other information?
+#
+# select date, number where year=2022 And account~".*:CreditLine"
+#
+##############################################################################
+#
+# Consider altering this program to generate the text to go into the beancount
+# files directly so that it can just be a cut and paste job.
+#
+##############################################################################
+
+
+def main():
+    filename = '2023.gtploc.json'
+    account = loadAccountInformation(getFullPathofFile(filename))
+
+    starting_balance = Decimal(account['starting_balance'])
+    apr = Decimal(account['interest_rate']) / 100
+    daily_interest_rate = apr / 360
+
+    fiscal_year = account['fiscal_year']
+    first_day = datetime(fiscal_year, 1, 1)
+    last_day = datetime(fiscal_year, 12, 31)
+    days_in_year = (last_day - first_day).days + 2
+    print("Line of Credit Report")
+    print("Fiscal Year: {1} Input File Name: {0}".format(filename, fiscal_year))
+    print("Starting Balance: {0} Interest Rate: {1}".format(starting_balance, account['interest_rate']))
+    print("Report Run Date: {0}".format(datetime.now()))
+    print("\n=========================================================================================\n")
+
+    day_nets = {}
+    transactions = account['transactions']
+    print("Summarizing {0} transactions:".format(len(transactions)))
+    for entry in transactions:
+        entry_date = entry[0]
+        entry_amount = Decimal(entry[1])
+
+        if entry_date not in day_nets:
+            day_nets[entry_date] = entry_amount
+        else:
+            day_nets[entry_date] = day_nets[entry_date] + entry_amount
+
+    for key in day_nets.keys():
+        print("Date: {0} Net Change: {1}".format(key, day_nets[key]))
+
+    print("Summary complete.")
+
+    current_balance = starting_balance
+    accummulated_interest = Decimal('0.00')
+    daily_interest = calculateDailyInterest(current_balance, daily_interest_rate)
+
+    print("\n=========================================================================================\n")
+    print("Calculating interest charges...")
+#    print("Beginning Balance: {1} Daily Interest: {2}".format(first_day,starting_balance, daily_interest))
+    for i in range(1, days_in_year):
+        current_date = (first_day + timedelta(days=i-1)).date()
+
+        if current_date.day == 1:
+            print("BEGIN MONTH: {0} Starting Balance: {1} Starting Daily Interest: {2}".format(current_date,
+                                                                                               current_balance,
+                                                                                               daily_interest))
+
+        if current_date.__str__() in day_nets:
+            current_balance = current_balance + day_nets[current_date.__str__()]
+            daily_interest = calculateDailyInterest(current_balance, daily_interest_rate)
+            print("Balance Change: Date: {0} Net: {1} New Balance: {2}".format(
+                current_date, day_nets[current_date.__str__()], current_balance))
+
+        accummulated_interest = accummulated_interest + daily_interest
+
+        if is_last_day_of_month(current_date):
+            current_balance = current_balance + accummulated_interest
+            daily_interest = calculateDailyInterest(current_balance, daily_interest_rate)
+            print("END MONTH: Date: {0} Post Accumulated Interest: {1} New Balance: {2} New Daily Interest: {3}".format(
+                current_date, accummulated_interest, current_balance, daily_interest))
+            accummulated_interest = 0
+
+
+def is_last_day_of_month(some_date):
+    if some_date.day < 28:
+        return False
+
+    next_day = some_date + timedelta(days=1)
+    if next_day.month == some_date.month:
+        return False
+    return True
+
+
+def calculateDailyInterest(principal, rate):
+    return (principal*rate).quantize(Decimal('.001'))
+
+
+def loadAccountInformation(filename):
+    return getDatastore(filename)
+
+
+def getDatastore(filename=None):
+    try:
+        if filename:
+            with open(filename, 'r') as f:
+                datastore = json.load(f)
+
+    except Exception as e:
+        print("An error occurred opening your file '%s'. " % filename)
+        print("The Exception:")
+        print(e.__repr__())
+        quit()
+
+    return datastore
+
+
+def getFullPathofFile(filename):
+    return '/Users/john/PycharmProjects/LoCInterestCalculator/' + filename
+
+
+if __name__ == '__main__':
+    main()