A linter that checks mocks are constructed with the spec argument
Project description
flake8-mock-spec
Are you using mocks in your code and want to ensure that you are not accessing or calling methods that the mocked objects don't have? Using mocks incorrectly can lead to bugs in your code and falsely passing tests. To avoid this, flake8-mock-spec linter has been created to enforce the use of the spec argument when creating mocks. This ensures that your use of mocks is compliant with the interface of the actual object being mocked, and helps you catch errors early on. Using this linter can save you time and help you write more robust and maintainable code.
Getting Started
To start using flake8-mock-spec
, you need to install the package and run it
on your source code. Here are the steps to get started:
- Create a virtual environment and activate it:
python -m venv venv
source ./venv/bin/activate
- Install
flake8-mock-spec
:
pip install flake8-mock-spec
- Run
flake8
on your source code:
flake8 test_source.py
For example, consider the following code:
# test_source.py
from unittest import mock
def test_foo():
mocked_foo = mock.Mock()
Running flake8
on this code will produce the following warning:
flake8 test_source.py
test_source.py:5:22: TMS010 unittest.mock.Mock instances should be constructed with the spec or spec_set argument, more information: https://github.com/jdkandersson/flake8-mock-spec#fix-tms010
To resolve this warning, you need to specify the spec
or spec_set
argument
when creating the mock object:
# test_source.py
from unittest import mock
from foo import Foo
def test_foo():
mocked_foo = mock.Mock(spec=Foo)
Rules
A set of linting rules have been defined to ensure best practices are followed when using unittest.mock library. These rules allow for selective suppression, meaning that specific rules can be ignored in certain scenarios. The following rules have been defined:
TMS010
: checks thatunittest.mock.Mock
instances are constructed with thespec
orspec_set
argument.TMS011
: checks thatunittest.mock.MagicMock
instances are constructed with thespec
orspec_set
argument.TMS012
: checks thatunittest.mock.NonCallableMock
instances are constructed with thespec
orspec_set
argument.TMS013
: checks thatunittest.mock.AsyncMock
instances are constructed with thespec
orspec_set
argument.TMS020
: checks thatunittest.mock.patch
is called with any one or more of thenew
,spec
,spec_set
,autospec
ornew_callable
argumentsTMS021
: checks thatunittest.mock.patch.object
is called with any one or more of thenew
,spec
,spec_set
,autospec
ornew_callable
argumentsTMS022
: checks thatunittest.mock.patch.multiple
is called with any one or more of thespec
,spec_set
,autospec
ornew_callable
arguments
Fix TMS010
This linting rule is triggered when a unittest.mock.Mock
instance is created
without the spec
or spec_set
argument. For example:
from unittest import mock
def test_foo():
mocked_foo = mock.Mock()
To fix this issue, you need to provide the spec
or spec_set
argument when
creating the mock object. Here are a few examples:
from unittest import mock
from foo import Foo
def test_foo():
mocked_foo = mock.Mock(spec=Foo)
from unittest import mock
from foo import Foo
def test_foo():
mocked_foo = mock.Mock(spec_set=Foo)
For more information about mock.Mock
and how to use it, please refer to the
official documentation:
https://docs.python.org/3/library/unittest.mock.html#unittest.mock.Mock
Fix TMS011
This linting rule is triggered when a unittest.mock.MagicMock
instance is
created without the spec
or spec_set
argument. For example:
from unittest import mock
def test_foo():
mocked_foo = mock.MagicMock()
To fix this issue, you need to provide the spec
or spec_set
argument when
creating the mock object. Here are a few examples:
from unittest import mock
from foo import Foo
def test_foo():
mocked_foo = mock.MagicMock(spec=Foo)
from unittest import mock
from foo import Foo
def test_foo():
mocked_foo = mock.MagicMock(spec_set=Foo)
For more information about mock.MagicMock
and how to use it, please refer to
the official documentation:
https://docs.python.org/3/library/unittest.mock.html#unittest.mock.MagicMock
Fix TMS012
This linting rule is triggered when a unittest.mock.NonCallableMock
instance
is created without the spec
or spec_set
argument. For example:
from unittest import mock
def test_foo():
mocked_foo = mock.NonCallableMock()
To fix this issue, you need to provide the spec
or spec_set
argument when
creating the mock object. Here are a few examples:
from unittest import mock
from foo import Foo
def test_foo():
mocked_foo = mock.NonCallableMock(spec=Foo)
from unittest import mock
from foo import Foo
def test_foo():
mocked_foo = mock.NonCallableMock(spec_set=Foo)
For more information about mock.NonCallableMock
and how to use it, please
refer to the official documentation:
https://docs.python.org/3/library/unittest.mock.html#unittest.mock.NonCallableMock
Fix TMS013
This linting rule is triggered when a unittest.mock.AsyncMock
instance is
created without the spec
or spec_set
argument. For example:
from unittest import mock
def test_foo():
mocked_foo = mock.AsyncMock()
To fix this issue, you need to provide the spec
or spec_set
argument when
creating the mock object. Here are a few examples:
from unittest import mock
from foo import Foo
def test_foo():
mocked_foo = mock.AsyncMock(spec=Foo)
from unittest import mock
from foo import Foo
def test_foo():
mocked_foo = mock.AsyncMock(spec_set=Foo)
For more information about mock.AsyncMock
and how to use it, please refer to the
official documentation:
https://docs.python.org/3/library/unittest.mock.html#unittest.mock.AsyncMock
Fix TMS020
This linting rule is triggered when calling unittest.mock.patch
without
including one or more of the following arguments: new
, spec
, spec_set
,
autospec
, or new_callable
.
For example, this code will trigger the rule:
from unittest import mock
@mock.patch("Foo")
def test_foo():
pass
with mock.patch("Foo") as mocked_foo:
pass
foo_patcher = patch("Foo")
To fix this issue, include one or more of the aforementioned arguments when
calling mock.patch
. For example:
from unittest import mock
from foo import Foo
@mock.patch("Foo", spec=Foo)
def test_foo():
pass
with mock.patch("Foo", spec_set=Foo) as mocked_foo:
pass
foo_patcher = patch("Foo", autospec=True)
For more information about mock.patch
and how to use it, please refer to the
official documentation:
https://docs.python.org/3/library/unittest.mock.html#unittest.mock.patch
Fix TMS021
This linting rule is triggered when calling unittest.mock.patch.object
without including one or more of the following arguments: new
, spec
,
spec_set
, autospec
, or new_callable
.
For example, this code will trigger the rule:
from unittest import mock
from foo import Foo
@mock.patch.object(Foo, "bar")
def test_foo():
pass
with mock.patch.object(Foo, "bar") as mocked_foo:
pass
foo_patcher = patch(Foo, "bar")
To fix this issue, include one or more of the aforementioned arguments when
calling mock.patch.object
. For example:
from unittest import mock
from foo import Foo
@mock.patch.object(Foo, "bar", spec=Foo.bar)
def test_foo():
pass
with mock.patch.object(Foo, "bar", spec_set=Foo.bar) as mocked_foo:
pass
foo_patcher = patch(Foo, "bar", autospec=True)
For more information about mock.patch.object
and how to use it, please refer
to the official documentation:
https://docs.python.org/3/library/unittest.mock.html#unittest.mock.patch.object
Fix TMS022
This linting rule is triggered when calling unittest.mock.patch.multiple
without including one or more of the following arguments: spec
, spec_set
,
autospec
, or new_callable
.
For example, this code will trigger the rule:
from unittest import mock
@mock.patch.multiple("Foo", FIRST_PATCH='bar', SECOND_PATCH='baz')
def test_foo():
pass
with mock.patch.object("Foo", FIRST_PATCH='bar', SECOND_PATCH='baz') as mocked_foo:
pass
foo_patcher = patch("Foo", FIRST_PATCH='bar', SECOND_PATCH='baz')
To fix this issue, include one or more of the aforementioned arguments when
calling mock.patch.multiple
. For example:
from unittest import mock
from foo import Foo
@mock.patch.multiple("Foo", spec=Foo, FIRST_PATCH='bar', SECOND_PATCH='baz')
def test_foo():
pass
with mock.patch.object("Foo", spec_set=Foo, FIRST_PATCH='bar', SECOND_PATCH='baz') as mocked_foo:
pass
foo_patcher = patch("Foo", autospec=True, FIRST_PATCH='bar', SECOND_PATCH='baz')
For more information about mock.patch.multiple
and how to use it, please
refer to the official documentation:
https://docs.python.org/3/library/unittest.mock.html#unittest.mock.patch.multiple
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file flake8_mock_spec-1.4.0.tar.gz
.
File metadata
- Download URL: flake8_mock_spec-1.4.0.tar.gz
- Upload date:
- Size: 10.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.3.2 CPython/3.11.1 Linux/5.15.0-1030-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6f7f18a2f85275b7eb6d17565dc56d41a1330f910c4288667980665a7a787759 |
|
MD5 | 16d967988d5a267bddf5b8856112a44b |
|
BLAKE2b-256 | cc6ef43cd084997b1fe7bf6685de33ead5fdfbec84d74fb72199506baf73d985 |
File details
Details for the file flake8_mock_spec-1.4.0-py3-none-any.whl
.
File metadata
- Download URL: flake8_mock_spec-1.4.0-py3-none-any.whl
- Upload date:
- Size: 9.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.3.2 CPython/3.11.1 Linux/5.15.0-1030-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9e003d03e5aec650445f3d440aba5c8c41898a2ca45249c0019cef2c11650725 |
|
MD5 | e6fbd6e184076a687ed8aaec7d1e09c2 |
|
BLAKE2b-256 | 3680531471bbe770cf01123ffa0cc74c4af2aa7172902a5c219f7a79fe0b1bf6 |