pytest-slack | Pytest-slack report plugin | Chat library

by pytest-dev Python Version: 2.3.1 License: MIT

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

kandi X-RAY | pytest-slack Summary

pytest-slack is a Python library typically used in Messaging, Chat, Jira applications. pytest-slack has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pytest-slack' or download it from GitHub, PyPI.

Pytest-slack report plugin

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Quality

Security

License

Reuse

Support

pytest-slack has a low active ecosystem.

It has 38 star(s) with 10 fork(s). There are 23 watchers for this library.

It had no major release in the last 12 months.

There are 10 open issues and 7 have been closed. On average issues are closed in 19 days. There are 14 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pytest-slack is 2.3.1

Quality

pytest-slack has 0 bugs and 0 code smells.

Security

pytest-slack has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pytest-slack code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pytest-slack is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pytest-slack releases are available to install and integrate.

Deployable package is available in PyPI.

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

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pytest-slack Key Features

No Key Features are available at this moment for pytest-slack.

pytest-slack Examples and Code Snippets

No Code Snippets are available at this moment for pytest-slack.

Community Discussions

Trending Discussions on pytest-slack

How to export locust execution ran in a pipeline to a slack channel?

QUESTION

How to export locust execution ran in a pipeline to a slack channel?

Asked 2021-Aug-03 at 07:51

This is my first question on stack overflow. I'm trying to create a CI pipeline measuring the performance of our environment.

I've managed to create a locust file thats executing a given scenario. And right now I trying to integrate the pipeline with our slack channel. So I could see in an easy way if the scheduled job passed or failed - no need to log in to gitlab.

For regression tests I'm using pytest with pytest-slack plugin and it works fine. Unfortunately for locust I cannot find any available plugin.

The Gitlab - Slack integration is not working in the way I want because it's made for monitoring the pipelines for merges not for scheduled.

Thanks!

...

ANSWER

Answered 2021-Aug-02 at 16:34

Your question is a little hard to answer. Do you want help with Slack integration or with Locust?

In regards to Locust, you can make it give a non-zero exit code to "fail" the pipeline on certain conditions, and then do whatever you want with that using your pipeline.

An example (requires locust-plugins) is here: https://github.com/SvenskaSpel/locust-plugins/blob/5a57e10950c25025dc3e04785cb668d368271019/examples/cmd_line_examples.sh#L6

Source https://stackoverflow.com/questions/68621984

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

Vulnerabilities

No vulnerabilities reported

Install pytest-slack

You can install using 'pip install pytest-slack' or download it from GitHub, PyPI.
You can use pytest-slack 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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