Project Description

Project aims to create tool for specific situations in which current cucumber testsuite used for Uyuni and SUSE Manager is too complex tool and, otherwise, in which manual testing is just still too much time consuming.

I would like to create tool, which quickly sets up all necessary stuff for area to be tested, so manual testing is limited to final tests and decision making if feature works or not.

This tool will be written in Rust language, because the language itself looks just cool (and has some very interesting concepts) and could be interesting choice for this purpose in combination of XMLRPC API provided by Uyuni/SUSE Manager as XMLRPC calls are very quick and handling of error states is easy.

Goal for this Hackweek

Implement following for retail features, so:

retail fomulas configuration
build hosts preparation
creation of kiwi image profiles
scheduling of kiwi image building
applying of highstate

...will be possible to test via this tool.

Setup of retail formulas will be handled via json files already used to store their configuration.

Resources

Join this project Leave this project

Looking for hackers with the skills:

uyuni retail xmlrpc rust testing

This project is part of:

Hack Week 20

Activity

over 4 years ago: ccalancha liked this project.

over 4 years ago: lkotek added keyword "uyuni" to this project.

over 4 years ago: lkotek added keyword "retail" to this project.

over 4 years ago: lkotek added keyword "xmlrpc" to this project.

over 4 years ago: lkotek added keyword "rust" to this project.

over 4 years ago: lkotek added keyword "testing" to this project.

over 4 years ago: lkotek started this project.

over 4 years ago: lkotek originated this project.

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Uyuni read-only replica by cbosdonnat

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Possible things to look at:

live sync of the database, probably using the WAL. Some of the tables may have to be skipped or some features disabled on the RO instance (taskomatic, PXT sessions…)
Can we use a load balancer that routes read-only queries to either instance and the other to the RW one? For example, packages or PXE data can be served by both, the API GET requests too. The rest would be RW.

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Testing and adding GNU/Linux distributions on Uyuni by juliogonzalezgil

Join the Gitter channel! https://gitter.im/uyuni-project/hackweek

Uyuni is a configuration and infrastructure management tool that saves you time and headaches when you have to manage and update tens, hundreds or even thousands of machines. It also manages configuration, can run audits, build image containers, monitor and much more!

Currently there are a few distributions that are completely untested on Uyuni or SUSE Manager (AFAIK) or just not tested since a long time, and could be interesting knowing how hard would be working with them and, if possible, fix whatever is broken.

For newcomers, the easiest distributions are those based on DEB or RPM packages. Distributions with other package formats are doable, but will require adapting the Python and Java code to be able to sync and analyze such packages (and if salt does not support those packages, it will need changes as well). So if you want a distribution with other packages, make sure you are comfortable handling such changes.

No developer experience? No worries! We had non-developers contributors in the past, and we are ready to help as long as you are willing to learn. If you don't want to code at all, you can also help us preparing the documentation after someone else has the initial code ready, or you could also help with testing :-)

The idea is testing Salt (including bootstrapping with bootstrap script) and Salt-ssh clients

To consider that a distribution has basic support, we should cover at least (points 3-6 are to be tested for both salt minions and salt ssh minions):

Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)
Onboarding (salt minion from UI, salt minion from bootstrap scritp, and salt-ssh minion) (this will probably require adding OS to the bootstrap repository creator)
Package management (install, remove, update...)
Patching
Applying any basic salt state (including a formula)
Salt remote commands
Bonus point: Java part for product identification, and monitoring enablement
Bonus point: sumaform enablement (https://github.com/uyuni-project/sumaform)
Bonus point: Documentation (https://github.com/uyuni-project/uyuni-docs)
Bonus point: testsuite enablement (https://github.com/uyuni-project/uyuni/tree/master/testsuite)

If something is breaking: we can try to fix it, but the main idea is research how supported it is right now. Beyond that it's up to each project member how much to hack :-)

If you don't have knowledge about some of the steps: ask the team
If you still don't know what to do: switch to another distribution and keep testing.

This card is for EVERYONE, not just developers. Seriously! We had people from other teams helping that were not developers, and added support for Debian and new SUSE Linux Enterprise and openSUSE Leap versions :-)

In progress/done for Hack Week 25

Guide

We started writin a Guide: Adding a new client GNU Linux distribution to Uyuni at https://github.com/uyuni-project/uyuni/wiki/Guide:-Adding-a-new-client-GNU-Linux-distribution-to-Uyuni, to make things easier for everyone, specially those not too familiar wht Uyuni or not technical.

openSUSE Leap 16.0

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https://en.opensuse.org/openSUSE:Roadmap#DRAFTScheduleforLeap16.0

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[W] Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file) NOTE: Done, client tools for SLMicro6 are using as those for SLE16.0/openSUSE Leap 16.0 are not available yet
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Ansible to Salt integration by vizhestkov

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It could be a good solution for the end users to reuse Ansible playbooks or run Ansible modules they got used to with no effort of complex configuration with existing Salt (or Uyuni/SUSE Multi Linux Manager) infrastructure.

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[v] Prepare the testing environment with Salt and Ansible installed
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[v] Make basic modules to work with no using separate ssh connection, but reusing existing Salt connection
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At the end of the week I managed to enable basic system group operations:

List all system groups visible to the user
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micro:bit is a small single board computer with a ARM Cortex-M4 with the FPU extension, with a very constrain amount of memory and a bunch of sensors and leds.

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Start learning about embedded programming in Rust, and maybe make some code to the small KS4036F Robot car from keyestudio.

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Day 2

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Download and study a bit the API for microbit-v2, the nRF official crate
Take a look of the KS4036F programming, seems that the communication is multiplexed via I2C
The motor speed can be selected via PWM (pulse with modulation): power it longer (high frequency), and it will increase the speed
Scrolling some text
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Start reading input from the board: buttons
The logo can be touched and detected as a floating point value

Day 3

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OpenPlatform Self-Service Portal by tmuntan1

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In SUSE IT, we developed an internal developer platform for our engineers using SUSE technologies such as RKE2, SUSE Virtualization, and Rancher. While it works well for our existing users, the onboarding process could be better.

To improve our customer experience, I would like to build a self-service portal to make it easy for people to accomplish common actions. To get started, I would have the portal create Jira SD tickets for our customers to have better information in our tickets, but eventually I want to add automation to reduce our workload.

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Build a frontend website (Angular) that helps customers create Jira SD tickets.
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https://gitlab.suse.de/itpe/core/open-platform/op-portal/backend
https://gitlab.suse.de/itpe/core/open-platform/op-portal/frontend

Mail client with mailing list workflow support in Rust by acervesato

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To create a mail user interface using Rust programming language, supporting mailing list patches workflow. I know, aerc is already there, but I would like to create something simpler, without integrated protocols. Just a plain user interface that is using some crates to read and create emails which are fetched and sent via external tools.

I already know Rust, but not the async support, which is needed in this case in order to handle events inside the mail folder and to send notifications.

Goals

simple user interface in the style of aerc, with some vim keybindings for motions and search
automatic run of external tools (like mbsync) for checking emails
automatic run commands for notifications
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tree-sitter support with styles

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mail-parser: parser for emails (https://crates.io/crates/mail-parser)
mail-builder: create emails in proper format (https://docs.rs/mail-builder/latest/mail_builder/)
gitpatch: ML support (https://crates.io/crates/gitpatch)
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testing

Testing and adding GNU/Linux distributions on Uyuni by juliogonzalezgil

Join the Gitter channel! https://gitter.im/uyuni-project/hackweek

The idea is testing Salt (including bootstrapping with bootstrap script) and Salt-ssh clients

To consider that a distribution has basic support, we should cover at least (points 3-6 are to be tested for both salt minions and salt ssh minions):

Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)
Onboarding (salt minion from UI, salt minion from bootstrap scritp, and salt-ssh minion) (this will probably require adding OS to the bootstrap repository creator)
Package management (install, remove, update...)
Patching
Applying any basic salt state (including a formula)
Salt remote commands
Bonus point: Java part for product identification, and monitoring enablement
Bonus point: sumaform enablement (https://github.com/uyuni-project/sumaform)
Bonus point: Documentation (https://github.com/uyuni-project/uyuni-docs)
Bonus point: testsuite enablement (https://github.com/uyuni-project/uyuni/tree/master/testsuite)

If something is breaking: we can try to fix it, but the main idea is research how supported it is right now. Beyond that it's up to each project member how much to hack :-)

If you don't have knowledge about some of the steps: ask the team
If you still don't know what to do: switch to another distribution and keep testing.

In progress/done for Hack Week 25

Guide

openSUSE Leap 16.0

The distribution will all love!

https://en.opensuse.org/openSUSE:Roadmap#DRAFTScheduleforLeap16.0

Curent Status We started last year, it's complete now for Hack Week 25! :-D

[W] Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file) NOTE: Done, client tools for SLMicro6 are using as those for SLE16.0/openSUSE Leap 16.0 are not available yet
[W] Onboarding (salt minion from UI, salt minion from bootstrap scritp, and salt-ssh minion) (this will probably require adding OS to the bootstrap repository creator)
[W] Package management (install, remove, update...). Works, even reboot requirement detection

openQA tests needles elaboration using AI image recognition by mdati

Description

In the openQA test framework, to identify the status of a target SUT image, a screenshots of GUI or CLI-terminal images, the needles framework scans the many pictures in its repository, having associated a given set of tags (strings), selecting specific smaller parts of each available image. For the needles management actually we need to keep stored many screenshots, variants of GUI and CLI-terminal images, eachone accompanied by a dedicated set of data references (json).

A smarter framework, using image recognition based on AI or other image elaborations tools, nowadays widely available, could improve the matching process and hopefully reduce time and errors, during the images verification and detection process.

Goals

Main scope of this idea is to match a "graphical" image of the console or GUI status of a running openQA test, an image of a shell console or application-GUI screenshot, using less time and resources and with less errors in data preparation and use, than the actual openQA needles framework; that is:

having a given SUT (system under test) GUI or CLI-terminal screenshot, with a local distribution of pixels or text commands related to a running test status,
we want to identify a desired target, e.g. a screen image status or data/commands context,
- based on AI/ML-pretrained archives containing object or other proper elaboration tools,
- possibly able to identify also object not present in the archive, i.e. by means of AI/ML mechanisms.
the matching result should be then adapted to continue working in the openQA test, likewise and in place of the same result that would have been produced by the original openQA needles framework.
We expect an improvement of the matching-time(less time), reliability of the expected result(less error) and simplification of archive maintenance in adding/removing objects(smaller DB and less actions).

Hackweek POC:

Main steps

Phase 1 - Plan
- study the available tools
- prepare a plan for the process to build
Phase 2 - Implement
- write and build a draft application
Phase 3 - Data
- prepare the data archive from a subset of needles
- initialize/pre-train the base archive
- select a screenshot from the subset, removing/changing some part
Phase 4 - Test
- run the POC application
- expect the image type is identified in a good %.

Resources

First step of this project is quite identification of useful resources for the scope; some possibilities are:

SUSE AI and other ML tools (i.e. Tensorflow)
Tools able to manage images
RPA test tools (like i.e. Robot framework)
other.

Project references

Repository: openqa-needles-AI-driven

Multimachine on-prem test with opentofu, ansible and Robot Framework by apappas

Description

A long time ago I explored using the Robot Framework for testing. A big deficiency over our openQA setup is that bringing up and configuring the connection to a test machine is out of scope.

Nowadays we have a way¹ to deploy SUTs outside openqa, but we only use if for cloud tests in conjuction with openqa. Using knowledge gained from that project I am going to try to create a test scenario that replicates an openqa test but this time including the deployment and setup of the SUT.

Goals

Create a simple multimachine test scenario with the support server and SUT all created by the robot framework.

Resources

https://github.com/SUSE/qe-sap-deployment
terraform-libvirt-provider