71 lines
2.7 KiB
Python
71 lines
2.7 KiB
Python
import csv
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import datetime
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import decimal
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import io
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import importlib
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import itertools
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import pathlib
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import shutil
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import re
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import pytest
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import yaml
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from import2ledger import importers, strparse
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from . import DATA_DIR
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try:
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load_yaml = yaml.full_load
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except AttributeError:
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load_yaml = yaml.load
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class TestImporters:
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with pathlib.Path(DATA_DIR, 'imports.yml').open() as yaml_file:
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test_data = load_yaml(yaml_file)
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for test in test_data:
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test['source'] = DATA_DIR / test['source']
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module_name, class_name = test['importer'].rsplit('.', 1)
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module = importlib.import_module('.' + module_name, 'import2ledger.importers')
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test['importer'] = getattr(module, class_name)
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@pytest.mark.parametrize('source_path,importer', [
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(t['source'], t['importer']) for t in test_data
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])
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def test_can_import(self, source_path, importer):
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with source_path.open() as source_file:
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assert importer.can_import(source_file)
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@pytest.mark.parametrize('source_path,importer,header_rows,header_cols', [
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(t['source'], t['importer'], t['header_rows'], t['header_cols'])
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for t in test_data if t.get('header_rows')
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])
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def test_can_import_squared_csv(self, source_path, importer, header_rows, header_cols):
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# Sometimes when we munge spreadsheets by hand (e.g., to filter by
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# project) tools like LibreOffice Calc write a "squared" spreadsheet,
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# where every row has the same length. This test ensures the results
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# are still recognized for import.
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with io.StringIO() as squared_file:
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csv_writer = csv.writer(squared_file)
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with source_path.open() as source_file:
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for row in itertools.islice(csv.reader(source_file), header_rows):
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padding = [None] * (header_cols - len(row))
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csv_writer.writerow(row + padding)
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shutil.copyfileobj(source_file, squared_file)
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squared_file.seek(0)
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assert importer.can_import(squared_file)
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@pytest.mark.parametrize('source_path,import_class,expect_results', [
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(t['source'], t['importer'], t['expect']) for t in test_data
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])
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def test_import(self, source_path, import_class, expect_results):
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with source_path.open() as source_file:
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importer = import_class(source_file)
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for actual, expected in itertools.zip_longest(importer, expect_results):
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actual['amount'] = strparse.currency_decimal(actual['amount'])
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assert actual == expected
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def test_loader(self):
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all_importers = list(importers.load_all())
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for test in self.test_data:
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assert test['importer'] in all_importers
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