mocker | A Docker-type runtime , written in 100 % Python | Continuous Deployment library
kandi X-RAY | mocker Summary
kandi X-RAY | mocker Summary
A proof-of-concept imitation of Docker, written in 100% Python. Using Kernel Namespaces, cgroups and network namespaces/iproute2 for Linux.
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Top functions reviewed by kandi - BETA
- Run the Docker CLI
- List all available images
- Format log record
- Return a human readable size
- Colorize a message
- Execute the Docker API
- Get the manifest for this image
- Retrieve a token for a given image
- List images
mocker Key Features
mocker Examples and Code Snippets
Community Discussions
Trending Discussions on mocker
QUESTION
I'm trying to apply a default value to a generic. But whenever the generic is not provided, the generic is defaulting to the value given to an argument. I want to prevent this from happening. Here's a very simple example:
...ANSWER
Answered 2021-Jun-03 at 17:13You can get around the type inference by using another type parameter and filtering out the default values. You can even do this without having to make type assertions.
Example CodeQUESTION
I currently have the following basic Python class that I want to test:
...ANSWER
Answered 2021-Jun-02 at 06:37There are several solutions to this, the simplest is probably using a standard mock with a side effect:
QUESTION
I'm trying to use pytest-mock
for mocking. This library is essentially a plugin/wrapper for mock
and patch
.
My problem is defined as:
I have an application (mymodule.py
) that uses SQL Alchemy. Basically, there's a function that defines some objects from SQL Alchemy and returns a dictionary with those objects.
ANSWER
Answered 2021-May-21 at 18:37There is not much benefit to mocking some_function1
as it does nothing but establish a connection to the database. It doesn't take any input and all it returns is a dictionary pointing at a table and a connection. With respect to some_function2
we can just pass in multiple MagicMock
's inside the db_tools
argument and use configure_mock.
QUESTION
This is a continuation of the SO question asked here but with a more complicated pattern than originally requested. My main intention is to try to mock an API call based on values passed to its caller. The API call has no idea of the values passed to its caller but needs to provide the correct behavior so that the caller can be tested fully. I am using time to determine which behavior I want when I want it.
Given a an object:
...ANSWER
Answered 2021-May-14 at 11:00Here is an improvised solution of https://stackoverflow.com/a/67498948/11043825 without using decorators.
As already pointed out, we still need to intercept the calls to the function that accepts the time
argument which indicates how someApiCall
would behave, which is either entry_point
or someFunction
. Here we would intercept someFunction
.
Instead of implementing python decorator on someFunction
which then needs to call that explicitly created decorated function, here we would amend (well this still follows the decorator design pattern) the someFunction
in-place and make it available to the rest of the source code calls without explicitly changing the call to the decorated function. This is like an in-place replacement of the original functionalities, where we would replace (or rather wrap around) the original functionality with an updated one which would perform an assessment of the time
before calling the original functionality.
Also for your reference, I solved it for 2 types of functions, a class method src.SomeClass.someFunction
and a global function src.someFunction2
.
./_main.py
QUESTION
I am using pytest_mock
to mock a function call. I would like to inspect the call to doB()
to see if it was called with the value 3. How would I write the assert for this?
ANSWER
Answered 2021-Apr-28 at 14:34Maybe something like this:
QUESTION
I'm a Network Engineer who is trying to write some Python, so very much still learning each day. I have an issue with Unit Testing and Pytest coverage reports. I think I understand the concept of unit tests and pytest.
I have a function that does a DNS lookup using socket
...ANSWER
Answered 2021-Apr-27 at 12:47When you declare
QUESTION
Does pytest
provides functionality like unittest.mock
to check if the mock was actually called once(or once with some parameter)?
Sample Source code:
my_package/my_module.py
ANSWER
Answered 2021-Apr-24 at 05:53You could try this:
QUESTION
I have the following method:
...ANSWER
Answered 2021-Apr-25 at 11:35What is happening here is that pytest
internally uses a pathlib.Path
object, which upon initialization asks for os.name
to define which Path
implementation to use. There are two internal implementations for Path
, PosixPath
and WindowsPath
, which are only available under the respective systems. As you are faking a Posix system by patching os.name
, it tries to instantiate a PosixPath
object, which is not defined under Windows.
What you can do in this case is to wrap os.name
in your own function, e.g. something like:
QUESTION
I'm doing this:
...ANSWER
Answered 2021-Apr-16 at 13:47The stormssh
module needs to be installed on the remote host on which the module is running, not on your local host where you're running the playbook. You may need an ansible task to install stormssh
on your target hosts before the ssh_config
task.
Possibly something like:
QUESTION
How to check if a request mocked by requests_mock added some query parameters to a URL?
I have a function func
thats do a HTTP POST on the url with some query string on the URL and I want to check if was called with this query string.
This is my attempt, but fails.
query
is a empty string and qs
is a empty dict.
I have sure that my func is appending the query string on the request.
...ANSWER
Answered 2021-Apr-11 at 18:30I tried to reproduce your problem and was unable to...
Here is the code I'm running:
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Install mocker
You can use mocker 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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