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How to use test_tags method in Lemoncheesecake

Best Python code snippet using lemoncheesecake

test_classes.py

Source:test_classes.py

1from mayan.apps.documents.permissions import permission_document_view2from mayan.apps.documents.search import document_search3from mayan.apps.documents.tests.mixins.document_mixins import DocumentTestMixin4from mayan.apps.tags.tests.mixins import TagTestMixin5from mayan.apps.testing.tests.base import BaseTestCase6from ..classes import SearchBackend7class ScopedSearchTestCase(DocumentTestMixin, TagTestMixin, BaseTestCase):8    auto_upload_test_document = False9    def setUp(self):10        super().setUp()11        self.search_backend = SearchBackend.get_instance()12        self._create_test_document_stub()13        self._create_test_tag()14        self._create_test_tag()15        self.test_tags[0].documents.add(self.test_document)16        self.test_tags[1].documents.add(self.test_document)17        self.grant_access(18            obj=self.test_document, permission=permission_document_view19        )20    def test_AND_scope(self):21        query = {22            '__0_tags__label': self.test_tags[0].label,23            '__operator_0_1': 'AND_901',24            '__result': '901',25            '__1_tags__label': self.test_tags[1].label26        }27        queryset = self.search_backend.search(28            search_model=document_search, query_string=query,29            user=self._test_case_user30        )31        self.assertEqual(queryset.count(), 1)32        self.test_tags[1].documents.remove(self.test_document)33        query = {34            '__0_tags__label': self.test_tags[0].label,35            '__operator_0_1': 'AND_901',36            '__result': '901',37            '__1_tags__label': self.test_tags[1].label38        }39        queryset = self.search_backend.search(40            search_model=document_search, query_string=query,41            user=self._test_case_user42        )43        self.assertEqual(queryset.count(), 0)44    def test_OR_scope(self):45        query = {46            '__0_tags__label': self.test_tags[0].label,47            '__operator_0_1': 'OR_901',48            '__result': '901',49            '__1_tags__label': self.test_tags[1].label50        }51        queryset = self.search_backend.search(52            search_model=document_search, query_string=query,53            user=self._test_case_user54        )55        self.assertEqual(queryset.count(), 1)56    def test_letter_scopes(self):57        query = {58            '__a_tags__label': self.test_tags[0].label,59            '__operator_a_b': 'OR_c',60            '__result': 'c',61            '__b_tags__label': self.test_tags[1].label62        }63        queryset = self.search_backend.search(64            search_model=document_search, query_string=query,65            user=self._test_case_user66        )67        self.assertEqual(queryset.count(), 1)68    def test_multi_letter_scopes(self):69        query = {70            '__ab_tags__label': self.test_tags[0].label,71            '__operator_ab_bc': 'OR_cc',72            '__result': 'cc',73            '__bc_tags__label': self.test_tags[1].label74        }75        queryset = self.search_backend.search(76            search_model=document_search, query_string=query,77            user=self._test_case_user78        )...

test_models.py

Source:test_models.py

1from pathlib import Path2from bidict import frozenbidict3from tbm_utils import DataReader4from ward import test5from audio_metadata.models import (6	Format,7	Picture,8	StreamInfo,9	Tags10)11from tests.utils import strip_repr12test_image = (Path(__file__).parent / 'image' / 'test.png').resolve()13@test(14	"Format",15	tags=['unit', 'models', 'Format'],16)17def _():18	format_bytes = Format._load(test_image.read_bytes())19	format_bytes_datareader = Format._load(DataReader(test_image.read_bytes()))20	format_fileobj = Format._load(test_image.open('rb'))21	format_fileobj_datareader = Format._load(DataReader(test_image.open('rb')))22	assert isinstance(format_bytes._obj, DataReader)23	assert isinstance(format_bytes_datareader._obj, DataReader)24	assert isinstance(format_fileobj._obj, DataReader)25	assert isinstance(format_fileobj_datareader._obj, DataReader)26	assert format_bytes.filepath is format_bytes_datareader.filepath is None27	assert format_fileobj.filepath == format_fileobj_datareader.filepath == str(test_image)28	assert format_bytes.filesize == format_bytes_datareader.filesize == 9629	assert format_fileobj.filesize == format_fileobj_datareader.filesize == 9630	assert repr(format_bytes) == repr(format_bytes_datareader)31	assert repr(format_fileobj) == repr(format_fileobj_datareader)32@test(33	"Picture",34	tags=['unit', 'models', 'Picture'],35)36def _():37	picture = Picture(38		_test='test',39		height=16,40		width=16,41		data=test_image.read_bytes()42	)43	assert repr(picture) == "<Picture({'data': '96.00 B', 'height': 16, 'width': 16})>"44@test(45	"StreamInfo",46	tags=['unit', 'models', 'StreamInfo'],47)48def _():49	stream_info = StreamInfo(50		_start=0,51		bitrate=320000,52		duration=100,53		sample_rate=44100,54		channels=255	)56	assert strip_repr(stream_info) == "<StreamInfo({'bitrate': '320 Kbps', 'channels': 2, 'duration': '01:40', 'sample_rate': '44.1 KHz',})>"57@test(58	"Tags",59	tags=['unit', 'models', 'Tags'],60)61def _():62	test_tags = Tags(key1='value1', key2='value2')63	test_tags.FIELD_MAP = frozenbidict({'artist': 'key1', 'title': 'key2'})64	assert test_tags['artist'] == test_tags['key1'] == test_tags.artist == test_tags.key165	assert test_tags['title'] == test_tags['key2'] == test_tags.title == test_tags.key266	test_tags['key3'] = 'value3'67	del test_tags['key3']68	assert 'key3' not in test_tags69	test_tags.key3 = 'value3'70	delattr(test_tags, 'key3')71	assert not hasattr(test_tags, 'key3')72	assert list(iter(test_tags)) == ['artist', 'title']...

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