Skip to content

jankohoutek/scripts

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

os-autoinst scripts

Communication

If you have questions, visit us on IRC in #opensuse-factory

How to use

Checkout the individual scripts and either call them manually or automatically, e.g. in CI jobs

auto-review - Automatically detect known issues in openQA jobs, label openQA jobs with ticket references and optionally retrigger

Based on simple regular expressions in the subject line of tickets on progress.opensuse.org within https://progress.opensuse.org/projects/openqav3 or any subproject of it, commonly https://progress.opensuse.org/projects/openqatests/ , openQA jobs can be automatically labeled with the corresponding ticket and optionally retriggered where it makes sense.

For this the subject line of a ticket must include text following the format auto_review:"<search_term>"[:retry][:force_result:<result>]

  • <search_term>: the perl extended regex to search for
  • :retry: (optional) boolean switch after the quoted search term to instruct for retriggering the according openQA job.
  • :force_result:<result>: (optional) give the job a special label which forces the result to be the given string

Examples:

  • auto_review:"error 42 found".
  • auto_review:"error 42 found":retry.
  • auto_review:"error 42 found":force_result:softfailed.
  • auto_review:"error 42 found":retry:force_result:softfailed.

The search terms are crosschecked against the logfiles and "reason" field of the openQA jobs. A multi-line search is possible, for example using the <search_term>

(?s)something to match earlier.*something to match some lines further down

Other double quotes in the subject line than around the search term should be avoided. Also be careful to not specify a too generic search term to prevent false matches of job failures unrelated to the specified ticket.

  • openqa-monitor-incompletes queries the database of an openQA instance (ssh access is necessary) and output the list of "interesting" incompletes, where "interesting" means not all incompletes but the ones likely needing actions by admins, e.g. unreviewed, no clones, no obvious "setup failure", etc.
  • openqa-label-known-issues can take a list of openQA jobs, for example output from "openqa-monitor-incompletes" and look for matching "known issues", for example from progress.opensuse.org, label the job and retrigger if specified in the issue (see the source code for details how to mark tickets)

For tickets referencing "auto_review" it is suggested to add a text section based on the following template:

## Steps to reproduce

Find jobs referencing this ticket with the help of
https://raw.githubusercontent.com/os-autoinst/scripts/master/openqa-query-for-job-label ,
for example to look for ticket 12345 call `openqa-query-for-job-label poo#12345`

openqa-investigate - Automatic investigation jobs with failure analysis in openQA

openQA can be configured to automatically trigger investigation jobs whenever there is no carry-over and no automatic ticket assignment by auto-review.

  • openqa-monitor-investigation-candidates queries the dabase of an openQA instance (ssh access is necessary) and output the list of failed jobs that are suitable for triggering investigation jobs on, compare to "openqa-monitor-incompletes"

  • openqa-investigate can take a list of openQA jobs, for example output of "openqa-monitor-investigation-candidates" and trigger "investigation jobs", e.g. a plain retrigger, using the "last good" tests as well as "last good" build and a combination of both. The results of all these four jobs should give a pretty good indication if something is a test regression, a product regression, an infrastructure problem or a sporadic issue.

Combine auto-review and openqa-investigate

A possible approach to combine handling known issues and unknown issues is to run "openqa-label-known-issues" against all "investigation candidates" and pass all unknown issues to "openqa-investigate":

./openqa-review-failed

which does the equivalent of:

./openqa-monitor-investigation-candidates | ./openqa-label-known-issues | ./openqa-investigate

with minor changes to the input/output format used between the commands.

openQA hook scripts - Call auto-review or investigation steps in openQA after every job is done

openQA supports custom job done hook scripts that can be called whenever a job is done, see http://open.qa/docs/#_enable_custom_hook_scripts_on_job_done_based_on_result for details. For the purpose of being called as these hook scripts here the following scripts are provided:

Contribute

This project lives in https://github.com/os-autoinst/scripts

Feel free to add issues in github or send pull requests.

Rules for commits

If this is too much hassle for you feel free to provide incomplete pull requests for consideration or create an issue with a code change proposal.

Local testing

Functional testing

This is done with the Test::More bash library. It will be automatically cloned.

# only a few functions from openqa-label-known-issues so far
make test

Style checks

make checkstyle

openqa-label-known-issues

Generate a list of recent incomplete jobs of your local openQA instance. Here's an example using psql:

psql \
 --dbname=openqa-local \
 --command="select concat('http://localhost:9526/tests/', id, ' ', TEST) from jobs where result = 'incomplete' order by t_finished desc limit 10;" \
 --csv \
 | tail -n +2 > tests/local_incompletes

Perform a dry run on the local instance using the generated job list:

cat tests/local_incompletes | env scheme=http host=localhost:9526 dry_run=1 sh -ex ./openqa-label-known-issues

License

This project is licensed under the MIT license, see LICENSE file for details.

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Shell 89.8%
  • Python 7.0%
  • Makefile 2.3%
  • Other 0.9%