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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:

1. Create a virtual environment and activate it:

python -m venv venv
source ./venv/bin/activate

2. Install flake8-mock-spec:

pip install flake8-mock-spec

3. 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 that unittest.mock.Mock instances are constructed with the spec or spec_set argument.
• TMS011: checks that unittest.mock.MagicMock instances are constructed with the spec or spec_set argument.
• TMS012: checks that unittest.mock.NonCallableMock instances are constructed with the spec or spec_set argument.
• TMS013: checks that unittest.mock.AsyncMock instances are constructed with the spec or spec_set argument.
• TMS020: checks that unittest.mock.patch is called with any one or more of the new, spec, spec_set, autospec or new_callable arguments
• TMS021: checks that unittest.mock.patch.object is called with any one or more of the new, spec, spec_set, autospec or new_callable arguments
• TMS022: checks that unittest.mock.patch.multiple is called with any one or more of the spec, spec_set, autospec or new_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