python-mock | git mirror of http : //pypi.python.org/pypi/mock | Mock library
kandi X-RAY | python-mock Summary
kandi X-RAY | python-mock Summary
mock is a library for testing in Python. It allows you to replace parts of your system under test with mock objects and make assertions about how they have been used. mock provides a core MagicMock class removing the need to create a host of stubs throughout your test suite. After performing an action, you can make assertions about which methods / attributes were used and arguments they were called with. You can also specify return values and set needed attributes in the normal way. mock is tested on Python versions 2.4-2.7 and Python 3. mock is also tested with the latest versions of Jython and pypy. The mock module also provides utility functions / objects to assist with testing, particularly monkey patching. Mock is very easy to use and is designed for use with unittest . Mock is based on the 'action -> assertion' pattern instead of 'record -> replay' used by many mocking frameworks. See the mock documentation for full details.
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Top functions reviewed by kandi - BETA
- Add a spec to the mock
- Set magic methods
- Add a spec to mock
- Return the class of an object
- Check if an object is a list
- Wrapper for patch
- Imports a module
- Helper function for lookup
- Add a spec to the mock
python-mock Key Features
python-mock Examples and Code Snippets
Community Discussions
Trending Discussions on python-mock
QUESTION
I have the following structure:
...ANSWER
Answered 2022-Apr-01 at 15:05You've patched the wrong module. Instead patch the sshHandler.some_method
patch create.sshHandler.some_method
. You must patch the object of module you're handling.
QUESTION
ANSWER
Answered 2021-Dec-22 at 20:13The get_parameters_by_path
returns all parameters that are prefixed with the supplied path.
When providing /mypath
, it would return /mypath/password
.
But when providing /mypath/password
, as in your example, it will only return parameters that look like this: /mypath/password/..
If you are only looking to retrieve a single parameter, the get_parameter
call would be more suitable:
QUESTION
Consider the following project structure:
...ANSWER
Answered 2021-Nov-17 at 14:00Since your function search_for_data
is using the name config
imported in func
's global namespace, you need to override that instead of the overriding folder.some_config_module
.
QUESTION
I can use python mockito to mock os.environ.get('SOME_VAR')
as demo here.
Main idea
ANSWER
Answered 2021-Jul-19 at 06:39It seems no answer until today using mockito package.
Here is my solution using builtin unittest mock patch
QUESTION
Substituting the built-in input function's value with a string is often used to test whether a method has the expected response to that input. A tool like monkeypatch would be used to do this, then we'd assert that calling the method returns the expected value.
Even when you call another method inside the method, if the second one has a predictable return value, you can use a similar approach.
Now, what if that method's expected behaviour is to call a method which also asks for input? The aim is to make sure that the program reached that second input prompt (confirming the first input had the expected result). Is there a way to assert this alone?
Example:
...ANSWER
Answered 2021-May-21 at 16:54To check if method_b
has been called, you have to mock it. Also you have to mock input
, as you mentioned, and make sure it returns values that will lead to the program to ended, and not to a recursion:
QUESTION
I am testing a class that needs a mock in the constructor, so I usually do this:
...ANSWER
Answered 2020-Nov-10 at 10:11BTW, this is a unittest
question, not a pytest
question.
Anyways,
I believe what you're looking for is reset_mock
Here's, in general, how it works:
QUESTION
I am using an external library (github3.py) that defines an internal exception (github3.exceptions.UnprocessableEntity). It doesn't matter how this exception is defined, so I want to create a side effect and set the attributes I use from this exception.
Tested code not-so-minimal example:
...ANSWER
Answered 2020-Oct-07 at 08:45So based on your example, you don't really need to mock github3.exceptions.UnprocessableEntity but only the incoming resp argument.
So the following test should work:
QUESTION
I would like to simulate inputs from the user in unittest using Python 3.8. I have a function that first asks the user which program to execute and then multiple other inputs to get the required values for the said app. I would like to simulate these inputs (input()) in unittest. I was unable to find an answer from this post, as that answer uses "inputted" text and then plugs it into a function, and does not work seamlessly with input(). I would like a solution that works seamlessly with input(), as if a human was running the program, and returns the values that the function in the program outputs. Using separate functions is very tedious and would mean updating the program twice, which is not ideal. If it the only way, I am willing to deal with it, but I would prefer not to. Here is some code that will need to be tested.
main.py:
...ANSWER
Answered 2020-Sep-24 at 20:09I'm not sure what exactly you want to test (maybe the output that numworksLibs
generates), but as this is about mocking the input, I'll show a simplified example that does not use unknown variables or functions:
main.py
QUESTION
I've been searching around on internet for online introductions to python-mockito, but there isn't so many resources available at this moment, their documentation seem very "for not-beginners" to me.
I saw many more content creating mock objects on python with unittest, but I applied for a job and they are requiring the mockito-python framework.
At this moment I don't know much about software test, they asked me to do unit and acceptance tests, where should I start?
...ANSWER
Answered 2020-Sep-21 at 15:47According to their documentation, mockito-python is based on Java Mockito you can go through the documentation of mockito to understand the basic. There are a bunch of tutorial and documentation available on mockito. For example: https://www.tutorialspoint.com/mockito/index.htm
Once you understand the basics you can use it with python.
QUESTION
I've read a few tutorials on mocking in Python, but I'm still struggling :-/
For example, I have a function wrapping a call to google storage to write a blob.
I'd like to mock the google.storage.Client().bucket(bucket_name) method to return an exceptions.NotFound for a specific non-existent bucket. I'm using side_effect to set the excepted exception
Do you know what I'm doing wrong?
Below is what I tried (I'm using 2 files: main2.py and main2_test.py):
...ANSWER
Answered 2020-Jul-10 at 18:09Your test has two problems: you are not mocking the method that shall actually raise (upload_from_string
), and you are setting an exception class instead of an exception as side effect.
The following would work:
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Install python-mock
You can use python-mock like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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