python-docker-test | TestCase mixin for executing functional tests | Continuous Deployment library

by harvard-dce Python Version: 0.1.1 License: Non-SPDX

X-Ray Key Features Code Snippets(1)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | python-docker-test Summary

python-docker-test is a Python library typically used in Devops, Continuous Deployment, Docker applications. python-docker-test has no bugs, it has no vulnerabilities, it has build file available and it has low support. However python-docker-test has a Non-SPDX License. You can install using 'pip install python-docker-test' or download it from GitHub, PyPI.

TestCase mixin for executing functional tests against a live docker container

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Quality

Security

License

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Support

python-docker-test has a low active ecosystem.

It has 9 star(s) with 2 fork(s). There are 12 watchers for this library.

It had no major release in the last 12 months.

python-docker-test has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of python-docker-test is 0.1.1

Quality

python-docker-test has 0 bugs and 0 code smells.

Security

python-docker-test has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-docker-test code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

python-docker-test has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

python-docker-test releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed python-docker-test and discovered the below as its top functions. This is intended to give you an instant insight into python-docker-test implemented functionality, and help decide if they suit your requirements.

Read file .

Get all kandi verified functions for this library.

python-docker-test Key Features

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

python-docker-test Examples and Code Snippets

Example

Python

Lines of Code : 24

License : Non-SPDX (NOASSERTION)

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    import unittest
    from python_docker_test import PythonDockerTestMixin

    class MyTests(PythonDockerTestMixin, unittest.TestCase):
       
        CONTAINER_IMAGE = 'foobar/my_image'
        CONTAINER_READY_TRIES = 3
        CONTAINER_READY_

Community Discussions

Trending Discussions on python-docker-test

Docker port has unwanted port declaration

QUESTION

Docker port has unwanted port declaration

Asked 2021-Jun-18 at 03:40

I am using Docker latest version, here is the output of "docker version"

...

ANSWER

Answered 2021-Jun-18 at 03:40

0.0.0.0 is the wildcard address in IPv4.

:: is the wildcard address of IPv6.

Docker does it so that it can receive requests from both IPv4 and IPv6 network interfaces.

To only bind port in the IPv4 interface, you have to specify the network interface explicitly.

Source https://stackoverflow.com/questions/68028780

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

Vulnerabilities

No vulnerabilities reported

Install python-docker-test

You can install using 'pip install python-docker-test' or download it from GitHub, PyPI.
You can use python-docker-test 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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