Files @ e22e63dcca78
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Location: NPO-Accounting/conservancy_beancount/tests/test_books_loader.py

Brett Smith
accrual: Make accruals consistent by entity on the accrual side.

It is more common than I realized that we split an invoice by
entity on the accrual side, so this supports that better.

It still disregards inconsistency between accrual entity and payment entity
for reporting purposes, to help keep reporting clean around automatic
imports.

The changes to BaseReport._report shook out because at this point, the group
key is effectively arbitrary and shouldn't be used for any reporting
purposes.
"""test_books_loader - Unit tests for books Loader class"""
# Copyright © 2020  Brett Smith
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program.  If not, see <https://www.gnu.org/licenses/>.

import collections
import re

from datetime import date
from pathlib import Path

import pytest

from . import testutil

from beancount.core import data as bc_data
from conservancy_beancount import books

FY_START_MONTH = 3

books_path = testutil.test_path('books')

@pytest.fixture(scope='module')
def conservancy_loader():
    return books.Loader(books_path, books.FiscalYear(FY_START_MONTH))

def check_openings(entries):
    openings = collections.defaultdict(int)
    for entry in entries:
        if isinstance(entry, bc_data.Open):
            openings[entry.account] += 1
    for account, count in openings.items():
        assert count == 1, f"found {count} open directives for {account}"

def txn_dates(entries):
    for entry in entries:
        if isinstance(entry, bc_data.Transaction):
            yield entry.date

def txn_years(entries):
    return frozenset(date.year for date in txn_dates(entries))

@pytest.mark.parametrize('from_fy,to_fy,expect_years', [
    (2019, 2019, range(2019, 2020)),
    (0, 2019, range(2019, 2020)),
    (2018, 2019, range(2018, 2020)),
    (1, 2018, range(2018, 2020)),
    (-1, 2019, range(2018, 2020)),
    (2019, 2020, range(2019, 2021)),
    (1, 2019, range(2019, 2021)),
    (-1, 2020, range(2019, 2021)),
    (2010, 2030, range(2018, 2021)),
    (20, 2010, range(2018, 2021)),
    (-20, 2030, range(2018, 2021)),
])
def test_load_fy_range(conservancy_loader, from_fy, to_fy, expect_years):
    entries, errors, options_map = conservancy_loader.load_fy_range(from_fy, to_fy)
    assert not errors
    actual_years = txn_years(entries)
    assert actual_years.issuperset(expect_years)
    assert min(actual_years) == expect_years.start

def test_load_fy_range_does_not_duplicate_openings(conservancy_loader):
    entries, errors, options_map = conservancy_loader.load_fy_range(2010, 2030)
    check_openings(entries)

def test_load_fy_range_empty(conservancy_loader):
    entries, errors, options_map = conservancy_loader.load_fy_range(2020, 2019)
    assert not errors
    assert not entries
    assert not options_map

@pytest.mark.parametrize('from_year', [None, *range(2018, 2021)])
def test_load_all(conservancy_loader, from_year):
    entries, errors, options_map = conservancy_loader.load_all(from_year)
    from_year = from_year or 2018
    assert not errors
    check_openings(entries)
    actual_years = txn_years(entries)
    assert actual_years.issuperset(range(from_year, 2021))
    assert min(actual_years) == from_year

@pytest.mark.parametrize('from_date', [
    date(2019, 2, 1),
    date(2019, 9, 15),
    date(2020, 1, 20),
    date(2020, 5, 31),
])
def test_load_all_from_date(conservancy_loader, from_date):
    from_year = from_date.year
    if from_date.month < FY_START_MONTH:
        from_year -= 1
    entries, errors, options_map = conservancy_loader.load_all(from_date)
    assert not errors
    check_openings(entries)
    actual_years = txn_years(entries)
    assert actual_years.issuperset(range(from_year, 2021))
    assert min(actual_years) == from_year