SQLAlchemy mock helpers.
Project description
SQLAlchemy mock helpers.
Free software: MIT license
Installing
You can install alchemy-mock using pip:
$ pip install alchemy-mock
Why?
SQLAlchemy is awesome. Unittests are great. Accessing DB during tests - not so much. This library provides easy way to mock SQLAlchemy’s session in unittests while preserving ability to do sane asserts. Normally SQLAlchemy’s expressions cannot be easily compared as comparison on binary expression produces yet another binary expression:
>>> type((Model.foo == 5) == (Model.bar == 5)) <class 'sqlalchemy.sql.elements.BinaryExpression'>
But they can be compared with this library:
>>> ExpressionMatcher(Model.foo == 5) == (Model.bar == 5) False
Using
ExpressionMatcher can be directly used:
>>> from alchemy_mock.comparison import ExpressionMatcher >>> ExpressionMatcher(Model.foo == 5) == (Model.foo == 5) True
Alternatively AlchemyMagicMock can be used to mock out SQLAlchemy session:
>>> from alchemy_mock.mocking import AlchemyMagicMock >>> session = AlchemyMagicMock() >>> session.query(Model).filter(Model.foo == 5).all() >>> session.query.return_value.filter.assert_called_once_with(Model.foo == 5)
In real world though session can be interacted with multiple times to query some data. In those cases UnifiedAlchemyMagicMock can be used which combines various calls for easier assertions:
>>> from alchemy_mock.mocking import UnifiedAlchemyMagicMock >>> session = UnifiedAlchemyMagicMock() >>> m = session.query(Model) >>> q = m.filter(Model.foo == 5) >>> if condition: ... q = q.filter(Model.bar > 10).all() >>> data1 = q.all() >>> data2 = m.filter(Model.note == 'hello world').all() >>> session.filter.assert_has_calls([ ... mock.call(Model.foo == 5, Model.bar > 10), ... mock.call(Model.note == 'hello world'), ... ])
Also real-data can be stubbed by criteria:
>>> from alchemy_mock.mocking import UnifiedAlchemyMagicMock >>> session = UnifiedAlchemyMagicMock(data=[ ... ( ... [mock.call.query(Model), ... mock.call.filter(Model.foo == 5, Model.bar > 10)], ... [Model(foo=5, bar=11)] ... ), ... ( ... [mock.call.query(Model), ... mock.call.filter(Model.note == 'hello world')], ... [Model(note='hello world')] ... ), ... ( ... [mock.call.query(AnotherModel), ... mock.call.filter(Model.foo == 5, Model.bar > 10)], ... [AnotherModel(foo=5, bar=17)] ... ), ... ]) >>> session.query(Model).filter(Model.foo == 5).filter(Model.bar > 10).all() [Model(foo=5, bar=11)] >>> session.query(Model).filter(Model.note == 'hello world').all() [Model(note='hello world')] >>> session.query(AnotherModel).filter(Model.foo == 5).filter(Model.bar > 10).all() [AnotherModel(foo=5, bar=17)] >>> session.query(AnotherModel).filter(Model.note == 'hello world').all() []
Finally UnifiedAlchemyMagicMock can partially fake session mutations such as session.add(instance). For example:
>>> session = UnifiedAlchemyMagicMock() >>> session.add(Model(pk=1, foo='bar')) >>> session.add(Model(pk=2, foo='baz')) >>> session.query(Model).all() [Model(foo='bar'), Model(foo='baz')] >>> session.query(Model).get(1) Model(foo='bar') >>> session.query(Model).get(2) Model(foo='baz')
Note that its partially correct since if added models are filtered on, session is unable to actually apply any filters so it returns everything:
>>> session.query(Model).filter(Model.foo == 'bar').all() [Model(foo='bar'), Model(foo='baz')]
History
0.4.3 (2019-11-05)
Unifying distinct.
0.4.2 (2019-09-25)
Adding support label() in ExpressionMatcher. For example column.label('foo').
0.4.1 (2019-06-26)
Adding support for one_or_none(). Thanks @davidroeca
0.4.0 (2019-06-06)
Adding basic mutation capability with add and add_all.
0.3.5 (2019-04-13)
Fixing compatibility with latest mock.
0.3.4 (2018-10-03)
Unifying limit.
0.3.3 (2018-09-17)
Unifying options and group_by.
0.3.2 (2018-06-27)
Added support for count() and get() between boundaries.
0.3.1 (2018-03-28)
Added support for func calls in ExpressionMatcher. For example func.lower(column).
0.3.0 (2018-01-24)
Added support for .one() and .first() methods when stubbing data.
Fixed bug which incorrectly unified methods after iterating on mock.
0.2.0 (2018-01-13)
Added ability to stub real-data by filtering criteria. See #2.
0.1.1 (2018-01-12)
Fixed alembic typo in README. oops.
0.1.0 (2018-01-12)
First release on PyPI.
Credits
Development Lead
Miroslav Shubernetskiy - https://github.com/miki725
Contributors
Serkan Hoscai - https://github.com/shosca
License
The MIT License (MIT)
Copyright (c) 2018, Miroslav Shubernetskiy
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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