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''' testing models '''
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""" testing models """
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import datetime
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import json
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import pathlib
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@ -14,165 +14,166 @@ from bookwyrm.connectors.abstract_connector import SearchResult
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class ImportJob(TestCase):
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''' this is a fancy one!!! '''
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""" this is a fancy one!!! """
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def setUp(self):
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''' data is from a goodreads export of The Raven Tower '''
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""" data is from a goodreads export of The Raven Tower """
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read_data = {
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'Book Id': 39395857,
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'Title': 'The Raven Tower',
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'Author': 'Ann Leckie',
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'Author l-f': 'Leckie, Ann',
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'Additional Authors': '',
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'ISBN': '="0356506991"',
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'ISBN13': '="9780356506999"',
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'My Rating': 0,
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'Average Rating': 4.06,
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'Publisher': 'Orbit',
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'Binding': 'Hardcover',
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'Number of Pages': 416,
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'Year Published': 2019,
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'Original Publication Year': 2019,
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'Date Read': '2019/04/12',
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'Date Added': '2019/04/09',
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'Bookshelves': '',
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'Bookshelves with positions': '',
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'Exclusive Shelf': 'read',
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'My Review': '',
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'Spoiler': '',
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'Private Notes': '',
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'Read Count': 1,
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'Recommended For': '',
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'Recommended By': '',
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'Owned Copies': 0,
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'Original Purchase Date': '',
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'Original Purchase Location': '',
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'Condition': '',
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'Condition Description': '',
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'BCID': ''
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"Book Id": 39395857,
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"Title": "The Raven Tower",
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"Author": "Ann Leckie",
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"Author l-f": "Leckie, Ann",
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"Additional Authors": "",
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"ISBN": '="0356506991"',
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"ISBN13": '="9780356506999"',
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"My Rating": 0,
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"Average Rating": 4.06,
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"Publisher": "Orbit",
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"Binding": "Hardcover",
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"Number of Pages": 416,
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"Year Published": 2019,
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"Original Publication Year": 2019,
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"Date Read": "2019/04/12",
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"Date Added": "2019/04/09",
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"Bookshelves": "",
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"Bookshelves with positions": "",
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"Exclusive Shelf": "read",
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"My Review": "",
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"Spoiler": "",
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"Private Notes": "",
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"Read Count": 1,
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"Recommended For": "",
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"Recommended By": "",
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"Owned Copies": 0,
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"Original Purchase Date": "",
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"Original Purchase Location": "",
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"Condition": "",
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"Condition Description": "",
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"BCID": "",
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}
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currently_reading_data = read_data.copy()
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currently_reading_data['Exclusive Shelf'] = 'currently-reading'
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currently_reading_data['Date Read'] = ''
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currently_reading_data["Exclusive Shelf"] = "currently-reading"
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currently_reading_data["Date Read"] = ""
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unknown_read_data = currently_reading_data.copy()
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unknown_read_data['Exclusive Shelf'] = 'read'
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unknown_read_data['Date Read'] = ''
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unknown_read_data["Exclusive Shelf"] = "read"
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unknown_read_data["Date Read"] = ""
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user = models.User.objects.create_user(
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'mouse', 'mouse@mouse.mouse', 'mouseword',
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local=True, localname='mouse')
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"mouse", "mouse@mouse.mouse", "mouseword", local=True, localname="mouse"
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)
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job = models.ImportJob.objects.create(user=user)
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self.item_1 = models.ImportItem.objects.create(
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job=job, index=1, data=currently_reading_data)
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self.item_2 = models.ImportItem.objects.create(
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job=job, index=2, data=read_data)
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job=job, index=1, data=currently_reading_data
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)
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self.item_2 = models.ImportItem.objects.create(job=job, index=2, data=read_data)
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self.item_3 = models.ImportItem.objects.create(
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job=job, index=3, data=unknown_read_data)
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job=job, index=3, data=unknown_read_data
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)
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def test_isbn(self):
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''' it unquotes the isbn13 field from data '''
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expected = '9780356506999'
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""" it unquotes the isbn13 field from data """
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expected = "9780356506999"
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item = models.ImportItem.objects.get(index=1)
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self.assertEqual(item.isbn, expected)
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def test_shelf(self):
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''' converts to the local shelf typology '''
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expected = 'reading'
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""" converts to the local shelf typology """
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expected = "reading"
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self.assertEqual(self.item_1.shelf, expected)
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def test_date_added(self):
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''' converts to the local shelf typology '''
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""" converts to the local shelf typology """
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expected = datetime.datetime(2019, 4, 9, 0, 0, tzinfo=timezone.utc)
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item = models.ImportItem.objects.get(index=1)
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self.assertEqual(item.date_added, expected)
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def test_date_read(self):
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''' converts to the local shelf typology '''
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""" converts to the local shelf typology """
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expected = datetime.datetime(2019, 4, 12, 0, 0, tzinfo=timezone.utc)
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item = models.ImportItem.objects.get(index=2)
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self.assertEqual(item.date_read, expected)
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def test_currently_reading_reads(self):
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''' infer currently reading dates where available '''
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expected = [models.ReadThrough(
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start_date=datetime.datetime(2019, 4, 9, 0, 0, tzinfo=timezone.utc)
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)]
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""" infer currently reading dates where available """
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expected = [
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models.ReadThrough(
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start_date=datetime.datetime(2019, 4, 9, 0, 0, tzinfo=timezone.utc)
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)
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]
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actual = models.ImportItem.objects.get(index=1)
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self.assertEqual(actual.reads[0].start_date, expected[0].start_date)
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self.assertEqual(actual.reads[0].finish_date, expected[0].finish_date)
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def test_read_reads(self):
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''' infer read dates where available '''
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""" infer read dates where available """
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actual = self.item_2
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self.assertEqual(
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actual.reads[0].start_date,
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datetime.datetime(2019, 4, 9, 0, 0, tzinfo=timezone.utc))
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datetime.datetime(2019, 4, 9, 0, 0, tzinfo=timezone.utc),
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)
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self.assertEqual(
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actual.reads[0].finish_date,
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datetime.datetime(2019, 4, 12, 0, 0, tzinfo=timezone.utc))
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datetime.datetime(2019, 4, 12, 0, 0, tzinfo=timezone.utc),
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)
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def test_unread_reads(self):
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''' handle books with no read dates '''
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""" handle books with no read dates """
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expected = []
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actual = models.ImportItem.objects.get(index=3)
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self.assertEqual(actual.reads, expected)
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@responses.activate
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def test_get_book_from_isbn(self):
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''' search and load books by isbn (9780356506999) '''
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""" search and load books by isbn (9780356506999) """
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connector_info = models.Connector.objects.create(
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identifier='openlibrary.org',
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name='OpenLibrary',
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connector_file='openlibrary',
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base_url='https://openlibrary.org',
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books_url='https://openlibrary.org',
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covers_url='https://covers.openlibrary.org',
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search_url='https://openlibrary.org/search?q=',
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identifier="openlibrary.org",
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name="OpenLibrary",
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connector_file="openlibrary",
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base_url="https://openlibrary.org",
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books_url="https://openlibrary.org",
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covers_url="https://covers.openlibrary.org",
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search_url="https://openlibrary.org/search?q=",
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priority=3,
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)
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connector = connector_manager.load_connector(connector_info)
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result = SearchResult(
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title='Test Result',
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key='https://openlibrary.org/works/OL1234W',
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author='An Author',
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year='1980',
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title="Test Result",
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key="https://openlibrary.org/works/OL1234W",
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author="An Author",
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year="1980",
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connector=connector,
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)
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datafile = pathlib.Path(__file__).parent.joinpath(
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'../data/ol_edition.json')
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datafile = pathlib.Path(__file__).parent.joinpath("../data/ol_edition.json")
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bookdata = json.loads(datafile.read_bytes())
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responses.add(
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responses.GET,
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'https://openlibrary.org/works/OL1234W',
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"https://openlibrary.org/works/OL1234W",
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json=bookdata,
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status=200)
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status=200,
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)
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responses.add(
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responses.GET,
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'https://openlibrary.org/works/OL15832982W',
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"https://openlibrary.org/works/OL15832982W",
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json=bookdata,
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status=200)
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status=200,
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)
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responses.add(
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responses.GET,
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'https://openlibrary.org/authors/OL382982A',
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json={'name': 'test author'},
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status=200)
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"https://openlibrary.org/authors/OL382982A",
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json={"name": "test author"},
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status=200,
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)
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with patch(
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'bookwyrm.connectors.abstract_connector.load_more_data.delay'):
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with patch("bookwyrm.connectors.abstract_connector.load_more_data.delay"):
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with patch(
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'bookwyrm.connectors.connector_manager.first_search_result'
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) as search:
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"bookwyrm.connectors.connector_manager.first_search_result"
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) as search:
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search.return_value = result
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with patch('bookwyrm.connectors.openlibrary.Connector.' \
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'get_authors_from_data'):
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with patch(
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"bookwyrm.connectors.openlibrary.Connector." "get_authors_from_data"
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):
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book = self.item_1.get_book_from_isbn()
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self.assertEqual(book.title, 'Sabriel')
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self.assertEqual(book.title, "Sabriel")
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