140 lines
4.5 KiB
Python
140 lines
4.5 KiB
Python
from datetime import date
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from pathlib import Path
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import logging
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import matplotlib.pyplot as plt
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import pickle
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import sys
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from initializer import initialize
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from categories import Categories
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from transaction import Transaction as Tr, TransactionError, Transactions
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from parsers import Parser
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def manual_categorization(trs):
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trs.sort_by_bank()
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for i, transaction in enumerate(trs):
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if not transaction.category:
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category = input(f"{transaction.desc()} category: ")
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if category == "stop":
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break
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if category:
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transaction.category = category
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trs[i] = transaction
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trs.sort()
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if __name__ == "__main__":
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# logging.basicConfig(level=logging.DEBUG)
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datafiles = initialize("raw", "data", restart=False)
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transactions = Transactions()
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for file in datafiles.values():
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transactions.extend(file)
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transactions.sort()
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# reprocess = [Education().name]
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# for i, transaction in enumerate(transactions):
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# for category in Categories.get_categories():
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# if transaction.category in reprocess:
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# transaction.category = ''
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if False:
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Categories.categorize(transactions)
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manual_categorization(transactions)
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for f, file in datafiles.items():
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file_transactions = [t for t in transactions if t in file]
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Tr.write_transactions(Path("data") / f, file_transactions)
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Tr.write_transactions("transactions.csv", transactions)
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monthly_transactions = transactions.get_transactions_by_month(
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start=date(2019, 1, 1), end=date(2020, 11, 30)
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)
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monthly_transactions_by_cat = []
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for month_transactions in monthly_transactions.values():
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cat = month_transactions.get_transactions_by_category()
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monthly_transactions_by_cat.append(cat)
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for month, month_transactions in zip(
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monthly_transactions.keys(), monthly_transactions_by_cat
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):
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nulls = sum(t.value for t in month_transactions["Null"])
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if nulls != 0:
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print(f"{month} {nulls}")
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expense_categories = [
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*Categories.get_fixed_expenses(),
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*Categories.get_variable_expenses(),
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*Categories.get_discretionary_expenses(),
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]
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if True:
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t = list(monthly_transactions.keys())
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income = [
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float(
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sum(
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t.value
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for cat, transactions in months.items()
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for t in transactions
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if cat in Categories.get_income_categories()
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)
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)
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for months in monthly_transactions_by_cat
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]
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# income = []
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# for months in monthly_transactions_by_cat:
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# for cat, transactions in months.items():
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# if cat in Categories.get_income_categories():
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# income.append(sum(transactions))
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expenses = []
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for category in expense_categories:
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expense_value = [
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-float(sum(t.value for t in month[category]))
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for month in monthly_transactions_by_cat
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]
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expenses.append(expense_value)
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# expenses = [transactions for months in monthly_transactions_by_cat for cat, transactions in months.items()
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# if cat not in Categories.get_income_categories() and transactions]
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for expense in expenses:
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for i, month in reversed(list(enumerate(t))):
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if expense[i] < 0:
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if i - 1 < 0:
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break
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else:
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expense[i - 1] += expense[i]
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expense[i] = 0
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plt.plot(t, income, label="Income")
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plt.stackplot(t, expenses, labels=expense_categories)
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plt.legend(bbox_to_anchor=(1, 1), loc="upper left")
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plt.show()
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income = [
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sum(
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t.value
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for cat, transactions in months.items()
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for t in transactions
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if cat in Categories.get_income_categories()
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)
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for months in monthly_transactions_by_cat
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]
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expenses = []
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for category in expense_categories:
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expense_value = [
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-sum(t.value for t in month[category])
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for month in monthly_transactions_by_cat
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]
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expenses.extend(expense_value)
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print(
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"Income: {}, Expenses: {}, Net = {}".format(
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sum(income), sum(expenses), sum(income) - sum(expenses)
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)
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)
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