Integrate Machinery into SLEnkins (QA-automation-testing)
a project by dmaiocchi
Updated over 6 years ago. 14 hacker ♥️.

WEB_PAGES:

Introduction:

As a qa-automation tester in Product QA for SLES and SUSE-Manager, the SUTs I test (system under test) (like SLE-12-SP2-beta-etc) are changing every day (new packages, patches are merged to SP2, files changes and so on).

Problem: we don't have a tool that give us metadata about the system, like machinery well do.

machinery inspect SUT machinery show SUT

Problem : what changed from system SLE12-SP-BUILD 8000 from to 8400 ? ( oh, i lost the mail from release manager ! )

machinery compare Problem : i found a regression with systemd-tests-suite on SLEnkins: the testsuite fail on BUILD 7400 , but build 7399 is still OK.

what exactly has changed for the package, but also for the system? -> Machinery

Problem: As QA i found a BUG on NFS. I have to report a bug.

Machinery can help me to fill the bug, giving me exact information about really different systems (SLES-12-SP1, openSUSE), etc, what has changed with NFS ? Or Fedora side?

RESULTS

First i want to thank the machinery team, especially Mauro and Manuel that supported me. On this hackweek, have integrated machinery for qa-automation on the library https://github.com/okirch/susetest, and in the SLEnkins automation Framwork.

This work really nice, for scanning systems under test. (SLES, openSUSE)

For qa-automation, machinery works nice and i achieved what i was expecting ! :)

I can scan, compare systems. This could be a FEDORA, DEBIAN, ArchLinux whatever against a openSUSE or a SLES.

In QA and Development, and even Relase Management Perspective this is awesome.

NEW HACK ! :

Revolutionar Perspective for QAAUTOTESTING with Machinery

I'm really glad, i can show you this :

https://slenkins.suse.de/jenkins/job/suite-machinery/32/console

In this example, i compare a SLES-12-SP2-LATEST, with 3-4 builds before.

RESULTS is amazing

With machinery i achieved to compare differents builds from SLES-12-SP2, thanks to the scope, i can see exactly was has changed and was not. I can compare a SLE_12-SP2-GNOME with a SLE-12-SP2-Default, and tracks perfectly changes.

Concrete examples are here :

Scan of a system With console log for machinery ( after the tests are executed) https://slenkins.suse.de/jenkins/view/Test%20suites/job/suite-machinery/13/console

Or with the inspect command redirect to a file.txt to workspace jenkins:

``` setup() machinery_sut = machinery(sut)

try: sometest(sut) machinerysut.inspect() machinerysut.show("tests-machinery") machinerysut.compare("SLE-12-SP2-BUILDXXX-GNOME") ```

Join this project

Looking for hackers with the skills:

qa-automation susetest python slenkins machinery

This project is part of:

Hack Week 14

Activity

  • over 9 years ago: okurz liked this project.
  • over 9 years ago: dmaiocchi added keyword "machinery" to this project.
  • over 9 years ago: dmaiocchi added keyword "slenkins" to this project.
  • over 9 years ago: dmaiocchi added keyword "qa-automation" to this project.
  • over 9 years ago: dmaiocchi added keyword "susetest" to this project.
  • over 9 years ago: dmaiocchi added keyword "python" to this project.
  • over 9 years ago: mamorales liked this project.
  • over 9 years ago: evshmarnev liked this project.
  • over 9 years ago: e_bischoff liked this project.
  • over 9 years ago: dmaiocchi started this project.
  • over 9 years ago: dmaiocchi originated this project.


    • Comments

    • e_bischoff
      over 9 years ago by e_bischoff | Reply

      For point 2), snapshots would be an alternative. Which does not mean that using machinery to do that is not interesting - on the contrary!

    • dmaiocchi
      over 9 years ago by dmaiocchi | Reply

      ok first result are avaible here: https://slenkins.suse.de/jenkins/view/Test%20suites/job/suite-machinery/10/console

    Similar Projects

    Collection and organisation of information about Bulgarian schools by iivanov

    Description

    To achieve this it will be necessary:

    • Collect/download raw data from various government and non-governmental organizations
    • Clean up raw data and organise it in some kind database.
    • Create tool to make queries easy.
    • Or perhaps dump all data into AI and ask questions in natural language.

    Goals

    By selecting particular school information like this will be provided:

    • School scores on national exams.
    • School scores from the external evaluations exams.
    • School town, municipality and region.
    • Employment rate in a town or municipality.
    • Average health of the population in the region.

    Resources

    Some of these are available only in bulgarian.

    • https://danybon.com/klasazia
    • https://nvoresults.com/index.html
    • https://ri.mon.bg/active-institutions
    • https://www.nsi.bg/nrnm/ekatte/archive

    Results

    • Information about all Bulgarian schools with their scores during recent years cleaned and organised into SQL tables
    • Information about all Bulgarian villages, cities, municipalities and districts cleaned and organised into SQL tables
    • Information about all Bulgarian villages and cities census since beginning of this century cleaned and organised into SQL tables.
    • Information about all Bulgarian municipalities about religion, ethnicity cleaned and organised into SQL tables.
    • Data successfully loaded to locally running Ollama with help to Vanna.AI
    • Seems to be usable.

    TODO

    • Add more statistical information about municipalities and ....

    Code and data

    Liz - Prompt autocomplete by ftorchia

    Description

    Liz is the Rancher AI assistant for cluster operations.

    Goals

    We want to help users when sending new messages to Liz, by adding an autocomplete feature to complete their requests based on the context.

    Example:

    • User prompt: "Can you show me the list of p"
    • Autocomplete suggestion: "Can you show me the list of p...od in local cluster?"

    Example:

    • User prompt: "Show me the logs of #rancher-"
    • Chat console: It shows a drop-down widget, next to the # character, with the list of available pod names starting with "rancher-".

    Technical Overview

    1. The AI agent should expose a new ws/autocomplete endpoint to proxy autocomplete messages to the LLM.
    2. The UI extension should be able to display prompt suggestions and allow users to apply the autocomplete to the Prompt via keyboard shortcuts.

    Resources

    GitHub repository

    Bring to Cockpit + System Roles capabilities from YAST by miguelpc

    Bring to Cockpit + System Roles features from YAST

    Cockpit and System Roles have been added to SLES 16 There are several capabilities in YAST that are not yet present in Cockpit and System Roles We will follow the principle of "automate first, UI later" being System Roles the automation component and Cockpit the UI one.

    Goals

    The idea is to implement service configuration in System Roles and then add an UI to manage these in Cockpit. For some capabilities it will be required to have an specific Cockpit Module as they will interact with a reasource already configured.

    Resources

    A plan on capabilities missing and suggested implementation is available here: https://docs.google.com/spreadsheets/d/1ZhX-Ip9MKJNeKSYV3bSZG4Qc5giuY7XSV0U61Ecu9lo/edit

    Linux System Roles:

    First meeting Hackweek catchup

    Improve/rework household chore tracker `chorazon` by gniebler

    Description

    I wrote a household chore tracker named chorazon, which is meant to be deployed as a web application in the household's local network.

    It features the ability to set up different (so far only weekly) schedules per task and per person, where tasks may span several days.

    There are "tokens", which can be collected by users. Tasks can (and usually will) have rewards configured where they yield a certain amount of tokens. The idea is that they can later be redeemed for (surprise) gifts, but this is not implemented yet. (So right now one needs to edit the DB manually to subtract tokens when they're redeemed.)

    Days are not rolled over automatically, to allow for task completion control.

    We used it in my household for several months, with mixed success. There are many limitations in the system that would warrant a revisit.

    It's written using the Pyramid Python framework with URL traversal, ZODB as the data store and Web Components for the frontend.

    Goals

    • Add admin screens for users, tasks and schedules
    • Add models, pages etc. to allow redeeming tokens for gifts/surprises
    • …?

    Resources

    tbd (Gitlab repo)

    Improve chore and screen time doc generator script `wochenplaner` by gniebler

    Description

    I wrote a little Python script to generate PDF docs, which can be used to track daily chore completion and screen time usage for several people, with one page per person/week.

    I named this script wochenplaner and have been using it for a few months now.

    It needs some improvements and adjustments in how the screen time should be tracked and how chores are displayed.

    Goals

    • Fix chore field separation lines
    • Change screen time tracking logic from "global" (week-long) to daily subtraction and weekly addition of remainders (more intuitive than current "weekly time budget method)
    • Add logic to fill in chore fields/lines, ideally with pictures, falling back to text.

    Resources

    tbd (Gitlab repo)