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#!/usr/bin/env python3 |
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# -*- coding: utf-8 -*- |
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""" |
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Created on Tue Jul 2 10:58:42 2019 |
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@author: Paolo Cozzi <[email protected]> |
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""" |
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import types |
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from collections import defaultdict, namedtuple |
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from unittest.mock import patch, Mock |
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from django.test import TestCase |
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from common.tests import ( |
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WebSocketMixin, DataSourceMixinTestCase as CommonDataSourceMixinTest) |
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from uid.models import Animal, Sample, Submission |
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from uid.tests.mixins import ( |
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DataSourceMixinTestCase, FileReaderMixinTestCase) |
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from ..helpers import ( |
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ExcelTemplateReader, upload_template, TEMPLATE_COLUMNS, ExcelImportError) |
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from .common import BaseExcelMixin |
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class ExcelTemplateReaderTestCase( |
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FileReaderMixinTestCase, DataSourceMixinTestCase, BaseExcelMixin, |
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TestCase): |
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"""Test excel class upload""" |
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def setUp(self): |
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# calling my base class setup |
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super().setUp() |
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self.maxDiff = None |
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# crate a Excel Template object |
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self.reader = ExcelTemplateReader() |
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# get filenames for DataSourceMixinTestCase.dst_path |
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self.reader.read_file(self.dst_path) |
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def test_check_sheets(self): |
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# test check sheets method |
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status, not_found = self.reader.check_sheets() |
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self.assertTrue(status) |
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self.assertEqual(not_found, []) |
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# override sheet names |
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self.reader.sheet_names = [] |
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# check method |
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status, not_found = self.reader.check_sheets() |
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self.assertFalse(status) |
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self.assertEqual(not_found, ['breed', 'animal', 'sample']) |
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def test_check_columns(self): |
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# test check sheets method |
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status, not_found = self.reader.check_columns() |
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self.assertTrue(status) |
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self.assertIsInstance(not_found, defaultdict) |
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self.assertEqual(len(not_found), 0) |
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@patch('xlrd.open_workbook') |
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def test_check_columns_issue(self, mock_open): |
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"""Test a file with columns issues""" |
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# creating a mock excel book |
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mock_book = Mock() |
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# customizing the mock object |
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mock_book.sheet_names.return_value = ['breed', 'animal', 'sample'] |
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# creating a mock sheet for breed |
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breed_sheet = Mock() |
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breed_sheet.nrows = 1 |
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# now setting rows to a fake sheet |
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breed_sheet.row_values.return_value = [] |
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# creating a mock sheet for animal |
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animal_sheet = Mock() |
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animal_sheet.nrows = 1 |
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# now setting rows to a fake sheet |
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animal_sheet.row_values.return_value = [] |
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# creating a mock sheet for sample |
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sample_sheet = Mock() |
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sample_sheet.nrows = 1 |
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# now setting rows to a fake sheet |
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sample_sheet.row_values.return_value = [] |
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# finally setting sheet to the fabe excel object |
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mock_book.sheet_by_name.side_effect = [ |
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breed_sheet, animal_sheet, sample_sheet] |
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# returning the mock object when opening a workbook |
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mock_open.return_value = mock_book |
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# now calling methods |
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reader = ExcelTemplateReader() |
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reader.read_file("fake file") |
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# create the reference error output |
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reference = defaultdict(list) |
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reference['breed'] += TEMPLATE_COLUMNS['breed'] |
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reference['animal'] += TEMPLATE_COLUMNS['animal'] |
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reference['sample'] += TEMPLATE_COLUMNS['sample'] |
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status, test = reader.check_columns() |
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self.assertFalse(status) |
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self.assertIsInstance(test, defaultdict) |
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self.assertDictEqual(reference, test) |
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def check_generator(self, records, length): |
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self.assertIsInstance(records, types.GeneratorType) |
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self.assertEqual(len(list(records)), length) |
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def test_get_breed_records(self): |
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"""get_breed_records returns an iterator""" |
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breeds = self.reader.get_breed_records() |
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self.check_generator(breeds, 2) |
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def test_get_animal_records(self): |
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"""get_animal_records returns an iterator""" |
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animals = self.reader.get_animal_records() |
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self.check_generator(animals, 3) |
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def test_get_sample_records(self): |
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"""get_sample_records returns an iterator""" |
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samples = self.reader.get_sample_records() |
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self.check_generator(samples, 3) |
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def test_check_accuracies(self): |
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"""Test check accuracies method""" |
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check, not_found = self.reader.check_accuracies() |
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self.assertTrue(check) |
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self.assertEqual(len(not_found), 0) |
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@patch.dict("excel.helpers.exceltemplate.TEMPLATE_COLUMNS", |
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{'breed': ["a column"]}) |
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def test_column_not_found(self): |
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"""Test a column not found raise an informativa exception""" |
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# get a generator object |
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generator = self.reader.get_sheet_records('breed') |
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self.assertRaisesRegex( |
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ExcelImportError, |
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"Column 'a column' not found in 'breed' sheet", |
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list, |
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generator) |
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@patch('xlrd.open_workbook') |
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def test_check_accuracies_issue(self, mock_open): |
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"""Checking issues with accuracy in excels data""" |
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# creating a mock excel book |
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mock_book = Mock() |
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# customizing the mock object |
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mock_book.sheet_names.return_value = ['breed', 'animal', 'sample'] |
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# creating a mock sheet for animal |
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animal_sheet = Mock() |
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animal_sheet.nrows = 2 |
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# creating a fake row of data |
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fake_row = ["" for col in TEMPLATE_COLUMNS['animal']] |
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# get birth location accuracy index |
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accuracy_idx = TEMPLATE_COLUMNS['animal'].index( |
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"Birth location accuracy") |
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# set a fake accuracy item |
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fake_row[accuracy_idx] = "Fake" |
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# now setting rows to a fake sheet |
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animal_sheet.row_values.side_effect = [ |
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TEMPLATE_COLUMNS['animal'], |
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fake_row] |
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# creating a mock sheet for sample |
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sample_sheet = Mock() |
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sample_sheet.nrows = 2 |
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# creating a fake row of data |
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fake_row = ["" for col in TEMPLATE_COLUMNS['sample']] |
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# get birth location accuracy index |
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accuracy_idx = TEMPLATE_COLUMNS['sample'].index( |
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"Collection place accuracy") |
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# set a fake accuracy item |
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fake_row[accuracy_idx] = "Fake" |
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# now setting rows to a fake sheet |
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sample_sheet.row_values.side_effect = [ |
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TEMPLATE_COLUMNS['sample'], |
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fake_row] |
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# finally setting sheet to the fabe excel object |
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mock_book.sheet_by_name.side_effect = [animal_sheet, sample_sheet] |
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# returning the mock object when opening a workbook |
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mock_open.return_value = mock_book |
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# now calling methods |
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reader = ExcelTemplateReader() |
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reader.read_file("fake file") |
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# define the expected value |
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reference = (False, set(["Fake"])) |
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test = reader.check_accuracies() |
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self.assertEqual(reference, test) |
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@patch('excel.helpers.ExcelTemplateReader.get_animal_records') |
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def test_species_in_animal_and_breeds_differ(self, my_animal): |
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# creating a fake row of data |
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fake_row = ["" for col in TEMPLATE_COLUMNS['animal']] |
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# get birth location accuracy index |
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specie_idx = TEMPLATE_COLUMNS['animal'].index( |
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"Species") |
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# set a fake specie item |
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fake_row[specie_idx] = "Fake" |
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# create a namedtuple object |
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columns = [col.lower().replace(" ", "_") |
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for col in TEMPLATE_COLUMNS['animal']] |
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Record = namedtuple("Animal", columns) |
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record = Record._make(fake_row) |
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my_animal.return_value = [record] |
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# define the expected value |
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reference = (False, ["Fake"]) |
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test = self.reader.check_species_in_animal_sheet() |
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self.assertEqual(reference, test) |
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class ExcelMixin(DataSourceMixinTestCase, WebSocketMixin, BaseExcelMixin): |
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"""Common tests for Excel classes""" |
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# define the method to upload data from. Since the function is now inside |
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# a class it becomes a method, specifically a bound method and is supposed |
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# to receive the self attribute by default. If we don't want to get the |
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# self attribute, we have to declare function as a staticmetho |
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# https://stackoverflow.com/a/35322635/4385116 |
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upload_method = staticmethod(upload_template) |
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def test_upload_template(self): |
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"""Testing uploading and importing data from excel template to UID""" |
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# test data loaded |
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message = "Template import completed for submission" |
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self.upload_datasource(message) |
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# check async message called |
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notification_message = ( |
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'Template import completed for submission: 1') |
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validation_message = { |
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'animals': 3, 'samples': 3, |
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'animal_unkn': 3, 'sample_unkn': 3, |
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'animal_issues': 0, 'sample_issues': 0} |
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# check async message called using WebSocketMixin.check_message |
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self.check_message('Loaded', notification_message, validation_message) |
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def check_errors(self, my_check, message, notification_message): |
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"""Common stuff for error in excel template loading""" |
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super().check_errors(my_check, message) |
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# check async message called using WebSocketMixin.check_message |
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self.check_message('Error', notification_message) |
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class UploadTemplateTestCase(ExcelMixin, TestCase): |
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"""Test uploading data for Template excel path""" |
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@patch("excel.helpers.ExcelTemplateReader.check_species", |
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return_value=[False, 'Rainbow trout']) |
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def test_upload_template_errors_with_species(self, my_check): |
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"""Testing importing with data into UID with errors in species""" |
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message = "species are not loaded into database" |
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notification_message = ( |
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"Error in importing data: Some species " |
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"are not loaded into database: check " |
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"for 'Rainbow trout' in your dataset") |
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# check template import fails |
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self.check_errors(my_check, message, notification_message) |
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@patch("excel.helpers.ExcelTemplateReader.check_species_in_animal_sheet", |
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return_value=[False, 'Rainbow trout']) |
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def test_upload_template_errors_with_species_in_animal(self, my_check): |
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"""Testing importing with data into UID with errors animal""" |
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message = "Some species are not defined in breed sheet" |
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notification_message = ( |
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"Error in importing data: %s: check for 'Rainbow trout' " |
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"in your dataset" % message) |
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# check template import fails |
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self.check_errors(my_check, message, notification_message) |
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@patch("excel.helpers.ExcelTemplateReader.check_sex", |
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return_value=[False, 'unknown']) |
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def test_upload_template_errors_with_sex(self, my_check): |
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"""Testing importing with data into UID with errors""" |
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message = "Not all Sex terms are loaded into database" |
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notification_message = ( |
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"Error in importing data: Not all Sex " |
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"terms are loaded into database: check " |
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"for 'unknown' in your dataset") |
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# check template import fails |
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self.check_errors(my_check, message, notification_message) |
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@patch("excel.helpers.ExcelTemplateReader.check_accuracies", |
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return_value=(False, set(["Fake"]))) |
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def test_upload_template_errors_with_accuracies(self, my_check): |
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"""Testing importing with data into UID with errors""" |
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message = "Not all accuracy levels are defined in database" |
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notification_message = ( |
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"Error in importing data: Not all accuracy " |
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"levels are defined in database: check " |
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"for '{'Fake'}' in your dataset") |
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# check template import fails |
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self.check_errors(my_check, message, notification_message) |
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@patch("excel.helpers.ExcelTemplateReader.check_countries", |
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return_value=(False, set(["Fake"]))) |
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def test_upload_template_errors_with_countries(self, my_check): |
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"""Testing importing with data into UID with errors""" |
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message = "Those countries are not loaded in database" |
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notification_message = ( |
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"Error in importing data: %s: check for '{'Fake'}' " |
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"in your dataset" % message) |
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# check template import fails |
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self.check_errors(my_check, message, notification_message) |
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@patch("excel.helpers.fill_uid.image_timedelta", |
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side_effect=ValueError("message")) |
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def test_issue_animal_age_at_collection(self, my_check): |
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"""Test an issue in animal_age_at_collection column""" |
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message = "message" |
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notification_message = ( |
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"Error in importing data: Error for Sample '%s' at " |
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"animal_age_at_collection column: %s" % ( |
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"CS05_1999_IBBACNR_PTP_02.06.1999", message)) |
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# check template import fails, calling a parent method since |
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# database is filled and the base ExcelMixin doesn't work |
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CommonDataSourceMixinTest.check_errors( |
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self, my_check, message) |
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# check async message called using WebSocketMixin.check_message |
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self.check_message('Error', notification_message) |
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@patch("excel.helpers.fill_uid.parse_image_timedelta", |
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side_effect=[[None, None], ValueError("message")]) |
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def test_issue_sampling_to_preparation_interval(self, my_check): |
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"""Test an issue in animal_age_at_collection column""" |
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message = "message" |
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notification_message = ( |
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"Error in importing data: Error for Sample '%s' at sampling_to_" |
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"preparation_interval column: %s" % ( |
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"VERCH1539971_2010_RegLomBank_PTPLodi_03.09.2011", message)) |
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# check template import fails, calling a parent method since |
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# database is filled and the base ExcelMixin doesn't work |
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CommonDataSourceMixinTest.check_errors( |
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self, my_check, message) |
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# check async message called using WebSocketMixin.check_message |
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self.check_message('Error', notification_message) |
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@patch('excel.helpers.ExcelTemplateReader.get_animal_records') |
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def test_issue_with_relationship(self, my_check): |
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"""Test a relationship that don't exists""" |
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# create a fake record with wrong relationship for testing |
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fake_data = [ |
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'ANIMAL:::ID:::CS05_1999', |
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None, |
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855, |
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"fake father", |
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"fake mother", |
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'Cinta Senese', |
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'Pig', |
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'male', |
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None, |
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None, |
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None, |
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None, |
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'missing geographic information'] |
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Animal = namedtuple( |
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'Animal', |
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[column.lower().replace(" ", "_") |
426
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for column in TEMPLATE_COLUMNS['animal']] |
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) |
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429
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record = Animal._make(fake_data) |
430
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431
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my_check.return_value = [record] |
432
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|
433
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# ok now test method |
434
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message = "Unknown parent '%s'" % (fake_data[3]) |
435
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notification_message = ( |
436
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"Error in importing data: %s: check animal '%s' " |
437
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|
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"in your dataset" % (message, fake_data[0])) |
438
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439
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# check template import fails |
440
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self.check_errors(my_check, message, notification_message) |
441
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442
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443
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class ReloadTemplateTestCase(ExcelMixin, TestCase): |
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"""Simulate a template reload case. Load data as in |
445
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UploadTemplateTestCase, then call test which reload the same data""" |
446
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447
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# override used fixtures |
448
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fixtures = [ |
449
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'crbanim/auth', |
450
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'excel/dictspecie', |
451
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'excel/uid', |
452
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'excel/submission', |
453
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'excel/speciesynonym' |
454
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] |
455
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456
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457
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|
View Code Duplication |
class UpdateTemplateTestCase(ExcelMixin, TestCase): |
|
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|
458
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"""Simulate an excel update with the same dataset. Data already |
459
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|
|
present will be ignored.""" |
460
|
|
|
|
461
|
|
|
# override used fixtures |
462
|
|
|
fixtures = [ |
463
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|
|
'crbanim/auth', |
464
|
|
|
'excel/dictspecie', |
465
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|
|
'excel/uid', |
466
|
|
|
'excel/submission', |
467
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|
|
'excel/speciesynonym' |
468
|
|
|
] |
469
|
|
|
|
470
|
|
|
def setUp(self): |
471
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|
|
# calling my base class setup |
472
|
|
|
super().setUp() |
473
|
|
|
|
474
|
|
|
# track old submission |
475
|
|
|
self.old_submission = Submission.objects.get(pk=1) |
476
|
|
|
|
477
|
|
|
# generate a new submission from old submission object |
478
|
|
|
submission = self.submission |
479
|
|
|
submission.pk = None |
480
|
|
|
submission.title = "Updated database" |
481
|
|
|
submission.datasource_version = "Updated database" |
482
|
|
|
submission.save() |
483
|
|
|
|
484
|
|
|
# track the new submission |
485
|
|
|
self.submission = submission |
486
|
|
|
|
487
|
|
|
# remove items from database |
488
|
|
|
sample = Sample.objects.get(pk=6) |
489
|
|
|
animal = sample.animal |
490
|
|
|
animal.delete() |
491
|
|
|
|
492
|
|
|
def test_upload_template(self): |
493
|
|
|
"""Testing uploading and importing data from excel template to UID""" |
494
|
|
|
|
495
|
|
|
# test data loaded |
496
|
|
|
message = "Template import completed for submission" |
497
|
|
|
self.upload_datasource(message) |
498
|
|
|
|
499
|
|
|
# check animal and sample |
500
|
|
|
queryset = Animal.objects.all() |
501
|
|
|
self.assertEqual(len(queryset), 3, msg="check animal load") |
502
|
|
|
|
503
|
|
|
queryset = Sample.objects.all() |
504
|
|
|
self.assertEqual(len(queryset), 3, msg="check sample load") |
505
|
|
|
|
506
|
|
|
# assert data are in the proper submission |
507
|
|
|
self.assertEqual(self.old_submission.animal_set.count(), 2) |
508
|
|
|
self.assertEqual(self.old_submission.sample_set.count(), 2) |
509
|
|
|
|
510
|
|
|
self.assertEqual(self.submission.animal_set.count(), 1) |
511
|
|
|
self.assertEqual(self.submission.sample_set.count(), 1) |
512
|
|
|
|
513
|
|
|
# check async message called |
514
|
|
|
notification_message = ( |
515
|
|
|
'Template import completed for submission: 2') |
516
|
|
|
validation_message = { |
517
|
|
|
'animals': 1, 'samples': 1, |
518
|
|
|
'animal_unkn': 1, 'sample_unkn': 1, |
519
|
|
|
'animal_issues': 0, 'sample_issues': 0} |
520
|
|
|
|
521
|
|
|
# check async message called using WebSocketMixin.check_message |
522
|
|
|
self.check_message( |
523
|
|
|
'Loaded', |
524
|
|
|
notification_message, |
525
|
|
|
validation_message, |
526
|
|
|
pk=self.submission.id) |
527
|
|
|
|