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Implement numpy based prediction feature

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Felix Martin
2025-03-16 09:47:11 -04:00
parent 884c173c0c
commit 12408c33f4
5 changed files with 402 additions and 31 deletions
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12
src/toldg/write.py
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@@ -6,8 +6,8 @@ from toldg.utils import category_to_bean
BEANCOUNT_TRANSACTION_TEMPLATE = """
{t.date} * {description}{tags}
{t.account2:<40} {t.debit:<6} {t.currency}
{t.account1:<40} {t.credit:<6} {t.currency}
{account2:<40} {t.debit:<6} {t.currency}
{account1:<40} {t.credit:<6} {t.currency}
"""
@@ -40,13 +40,15 @@ def format(t):
if not t.credit.startswith("-"):
t.credit = " " + t.credit
t.account1 = category_to_bean(t.account1)
t.account2 = category_to_bean(t.account2)
if t.currency == "EUR":
t.debit = t.debit.replace(".", "|").replace(",", ".").replace("|", ",")
t.credit = t.credit.replace(".", "|").replace(",", ".").replace("|", ",")
return BEANCOUNT_TRANSACTION_TEMPLATE.format(
t=t, description=description, tags=tags
t=t,
description=description,
tags=tags,
account1=category_to_bean(t.account1),
account2=category_to_bean(t.account2),
)