python-mock | git mirror of http : //pypi.python.org/pypi/mock | Mock library

 by   calvinchengx Python Version: Current License: BSD-2-Clause

kandi X-RAY | python-mock Summary

kandi X-RAY | python-mock Summary

python-mock is a Python library typically used in Testing, Mock applications. python-mock has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

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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            kandi-support Support

              python-mock has a low active ecosystem.
              It has 8 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              python-mock has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of python-mock is current.

            kandi-Quality Quality

              python-mock has 0 bugs and 0 code smells.

            kandi-Security Security

              python-mock has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              python-mock code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              python-mock is licensed under the BSD-2-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              python-mock releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed python-mock and discovered the below as its top functions. This is intended to give you an instant insight into python-mock implemented functionality, and help decide if they suit your requirements.
            • 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
            Get all kandi verified functions for this library.

            python-mock Key Features

            No Key Features are available at this moment for python-mock.

            python-mock Examples and Code Snippets

            No Code Snippets are available at this moment for python-mock.

            Community Discussions

            QUESTION

            How to patch a module method that is called within a class?
            Asked 2022-Apr-01 at 15:11

            I have the following structure:

            ...

            ANSWER

            Answered 2022-Apr-01 at 15:05

            You'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.

            Source https://stackoverflow.com/questions/71708574

            QUESTION

            Python mocking using MOTO for SSM
            Asked 2021-Dec-27 at 20:33

            Taken from this answer:

            Python mock AWS SSM

            I now have this code:

            test_2.py

            ...

            ANSWER

            Answered 2021-Dec-22 at 20:13

            The 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:

            Source https://stackoverflow.com/questions/70451987

            QUESTION

            How to mock the import of a module in python?
            Asked 2021-Nov-17 at 14:00

            Consider the following project structure:

            ...

            ANSWER

            Answered 2021-Nov-17 at 14:00

            Since 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.

            Source https://stackoverflow.com/questions/70003857

            QUESTION

            How to mock os.environ['key'] using mockito with python?
            Asked 2021-Jul-19 at 06:39

            I can use python mockito to mock os.environ.get('SOME_VAR') as demo here.
            Main idea

            ...

            ANSWER

            Answered 2021-Jul-19 at 06:39

            It seems no answer until today using mockito package.

            Here is my solution using builtin unittest mock patch

            Source https://stackoverflow.com/questions/68030745

            QUESTION

            Using pytest, how do you test that an input leads to an expected method call, when said method prompts for another input, and is in a continuous loop?
            Asked 2021-May-21 at 16:54

            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 16:54

            To 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:

            Source https://stackoverflow.com/questions/67636201

            QUESTION

            Unittest and mocks, how to reset them?
            Asked 2020-Nov-19 at 11:31

            I am testing a class that needs a mock in the constructor, so I usually do this:

            ...

            ANSWER

            Answered 2020-Nov-10 at 10:11

            BTW, 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:

            Source https://stackoverflow.com/questions/64766354

            QUESTION

            How to set mocked exception behavior on Python?
            Asked 2020-Oct-07 at 08:45

            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 08:45

            So 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:

            Source https://stackoverflow.com/questions/64226516

            QUESTION

            Simulating Python Inputs in multi-input functions using unittest
            Asked 2020-Sep-24 at 20:10

            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 20:09

            I'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

            Source https://stackoverflow.com/questions/64051263

            QUESTION

            Introduction to mockito-python
            Asked 2020-Sep-21 at 15:47

            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 15:47

            According 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.

            Source https://stackoverflow.com/questions/63995301

            QUESTION

            Python unittest.mock google storage - how to achieve exceptions.NotFound as side effect
            Asked 2020-Jul-10 at 18:11

            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 18:09

            Your 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:

            Source https://stackoverflow.com/questions/62803901

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install python-mock

            You can download it from GitHub.
            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.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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