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Mock a python function that is used by another function


Mock a python function that is used by another function

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Mock a python function that is used by another function
Tag : python , By : Jµ.
Date : December 05 2020, 12:18 PM

Hope that helps The answer of @JulienChein is pretty good, and I will just add some example based on you snippet.
I create a similar environment to your.
.
├── calculator.py
├── __init__.py
└── test
    ├── __init__.py
    └── test_calc.py
def get_value_1():
    return 10

def get_value_2():
    return 20

def addition():
    return get_value_1() + get_value_2()
from .calculator import *
from unittest.mock import patch
from .. import addition

# Here get_value_1, is mocked from calc.__inti__.py
@patch('calc.get_value_1', return_value=50)
def test1(mock_data):
    value = addition()
    assert value == 30  # This assert is False

# Here get_value_1, is mocked from calc.calculator.py
@patch('calc.calculator.get_value_1', return_value=50)
def test2(mock_data):
    value = addition()
    assert value == 70  # This assert is True

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How to mock a function defined in a separate Python module using mock's @patch


Tag : python , By : paolodm
Date : March 29 2020, 07:55 AM
I wish did fix the issue. mypackage.myothermodule has already been imported, so the name some_function is already bound within that module. You need to mock the usage of that name within the module it is being called from:
@patch('mypackage.myothermodule.some_function')
import mypackage.myothermodule
reload(mypackage.myothermodule)

Python mock patch a coroutine function within another function using pytest?


Tag : python , By : msg
Date : March 29 2020, 07:55 AM
Does that help In your second example, in mock_f1 fixture you create a CoroutineMock object and return it. But you don't overwrite module_name.app.f1 function: Mock-like objects don't patch anything automatically.
Here is an illustrating addition to your example:
@pytest.mark.asyncio
async def test_f2_2(mock_f1):
    print('fixture value:', mock_f1)
    print('actual module_name.app.f1 function:', module_name.app.f1)
    assert 'some value' == await f2('test')
fixture value: <CoroutineMock spec='function' id='139756096130688'>
actual module_name.app.f1 function: <function f1 at 0x7f1b7e1139d8>
@pytest.fixture
def mock_f1(monkeypatch):
    fake_f1 = asynctest.CoroutineMock(module_name.app.f1, side_effect=sf_f1)
    monkeypatch.setattr(module_name.app, 'f1', fake_f1)
    return fake_f1

Im trying to mock a function from a service but Jest keeps calling the actual function instead of the mock function


Tag : unit-testing , By : Pierre LeBoo
Date : March 29 2020, 07:55 AM
hop of those help?
The problem is that Jest keeps calling the actual services function instead of the mocked service function.
const mockService = require('../NotificationService').default;  // mockService is your mock...

jest.mock('../NotificationService');  // ...because this runs first

describe('NotificationService.js', () => {
  it('returns the bell property', async () => {
    ...
  });
});

Python Mock: Mocking a function inside the function I'm testing


Tag : python , By : Mr. Tacos
Date : March 29 2020, 07:55 AM
this one helps. What you need is the patch.object context manager, which does exactly what you want: it takes a class and method, and allows you to define a custom return value.
from unittest.mock import patch
from <your-time_utils-module> import apply_delta_to_date, MySettings


class TestAppyDelta():
    def test_apply_delta(self):
        with patch.object(MySettings, 'get_delta', return_value=10) as mock_method:
            result = apply_delta_to_date(today)

            # mock_method has many other useful assertions
            mock_method.assert_called_once()

How can I mock an object's function call in another function that doesn't necessarily exist because of moto's mock


Tag : python , By : Rb.Ridge
Date : March 29 2020, 07:55 AM
hope this fix your issue boto3.client returns an instance of a dynamically-created class based on the service_name argument (see source), so you cannot use the patch method, which requires that the target object be importable.
Instead, you can patch botocore.client.ClientCreator._create_methods, the method that dynamically creates methods for the class that boto3.client returns, with a wrapper function that makes the describe_continuous_backups attribute a Mock object with the given return_value:
import boto3
import botocore
from unittest.mock import patch, Mock

def override(*args, **kwargs):
    def wrapper(self, service_model):
        op_dict = original_create_methods(self, service_model)
        if 'describe_continuous_backups' in op_dict:
            op_dict['describe_continuous_backups'] = Mock(*args, **kwargs)
        return op_dict
    return wrapper
original_create_methods = botocore.client.ClientCreator._create_methods

@patch('botocore.client.ClientCreator._create_methods', override(return_value={'foo': 'bar'}))
def check_stuff():
    session = boto3.Session()
    client = session.client('dynamodb', 'eu-west-1')
    some_stuff = client.describe_continuous_backups(TableName='')
    return some_stuff

print(check_stuff())
{'foo': 'bar'}
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