132 lines
4.9 KiB
Python
132 lines
4.9 KiB
Python
"""test_reports_balances.py - Unit tests for Balances class"""
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# Copyright © 2020 Brett Smith
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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#
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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import datetime
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import itertools
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import pytest
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from . import testutil
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from beancount.core.data import Open
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from conservancy_beancount import data
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from conservancy_beancount.reports import core
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Fund = core.Fund
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Period = core.Period
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clean_account_meta = pytest.fixture(scope='module')(testutil.clean_account_meta)
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@pytest.fixture(scope='module')
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def income_expense_entries():
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txns = []
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prior_date = datetime.date(2019, 2, 2)
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period_date = datetime.date(2019, 4, 4)
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for (acct, post_meta), fund in itertools.product([
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('Income:Donations', 'Donations'),
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('Income:Sales', 'RBI'),
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('Expenses:Postage', 'fundraising'),
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('Expenses:Postage', 'management'),
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('Expenses:Postage', 'program'),
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('Expenses:Services', 'fundraising'),
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('Expenses:Services', 'program'),
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], ['Conservancy', 'Alpha']):
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root_acct, _, classification = acct.partition(':')
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try:
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data.Account(acct).meta
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except KeyError:
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data.Account.load_opening(Open(
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{'classification': classification},
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datetime.date(2000, 1, 1),
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acct, None, None,
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))
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meta = {
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'project': fund,
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f'{root_acct.lower().rstrip("s")}-type': post_meta,
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}
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sign = '' if root_acct == 'Expenses' else '-'
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txns.append(testutil.Transaction(date=prior_date, postings=[
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(acct, f'{sign}2.40', meta),
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]))
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txns.append(testutil.Transaction(date=period_date, postings=[
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(acct, f'{sign}2.60', meta),
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]))
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return txns
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@pytest.fixture(scope='module')
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def expense_balances(income_expense_entries):
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return core.Balances(
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data.Posting.from_entries(income_expense_entries),
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datetime.date(2019, 3, 1),
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datetime.date(2020, 3, 1),
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'expense-type',
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)
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@pytest.fixture(scope='module')
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def income_balances(income_expense_entries):
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return core.Balances(
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data.Posting.from_entries(income_expense_entries),
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datetime.date(2019, 3, 1),
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datetime.date(2020, 3, 1),
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'income-type',
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)
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@pytest.mark.parametrize('kwargs,expected', [
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({'account': 'Income:Donations'}, -10),
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({'account': 'Income'}, -20),
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({'account': 'Income:Nonexistent'}, None),
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({'classification': 'Postage'}, 30),
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({'classification': 'Services'}, 20),
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({'classification': 'Nonexistent'}, None),
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({'period': Period.PRIOR, 'account': 'Income'}, '-9.60'),
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({'period': Period.PERIOD, 'account': 'Expenses'}, 26),
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({'fund': Fund.RESTRICTED, 'account': 'Income'}, -10),
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({'fund': Fund.UNRESTRICTED, 'account': 'Expenses'}, 25),
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({'post_meta': 'fundraising'}, 20),
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({'post_meta': 'management'}, 10),
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({'post_meta': 'Donations'}, None),
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({'post_meta': 'RBI'}, None),
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({'period': Period.PRIOR, 'post_meta': 'fundraising'}, '9.60'),
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({'fund': Fund.RESTRICTED, 'post_meta': 'program'}, 10),
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({'period': Period.PRIOR, 'fund': Fund.RESTRICTED, 'post_meta': 'program'}, '4.80'),
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({'period': Period.PERIOD, 'fund': Fund.RESTRICTED, 'post_meta': 'ø'}, None),
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({'account': ('Income', 'Expenses')}, 30),
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({'account': ('Income', 'Expenses'), 'fund': Fund.UNRESTRICTED}, 15),
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])
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def test_expense_balance_total(expense_balances, kwargs, expected):
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actual = expense_balances.total(**kwargs)
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if expected is None:
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assert not actual
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else:
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assert actual == {'USD': testutil.Amount(expected)}
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@pytest.mark.parametrize('kwargs,expected', [
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({'post_meta': 'fundraising'}, None),
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({'post_meta': 'management'}, None),
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({'post_meta': 'Donations'}, -10),
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({'post_meta': 'RBI'}, -10),
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({'period': Period.PRIOR, 'post_meta': 'Donations'}, '-4.80'),
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({'fund': Fund.RESTRICTED, 'post_meta': 'RBI'}, -5),
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({'period': Period.PRIOR, 'fund': Fund.RESTRICTED, 'post_meta': 'Donations'}, '-2.40'),
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({'period': Period.PERIOD, 'fund': Fund.RESTRICTED, 'post_meta': 'ø'}, None),
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])
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def test_income_balance_total(income_balances, kwargs, expected):
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actual = income_balances.total(**kwargs)
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if expected is None:
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assert not actual
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else:
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assert actual == {'USD': testutil.Amount(expected)}
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