[DOP-33014] Remove job.tag_values not send by integration

[dolfinus]

Change Summary

Upgrading Spark/Airflow/OL/etc versions will lead to storing both old and new versions as job tags. To fix that, for job tags we keep only new tag_values and delete old ones because they are outdated. Except when job was received without any tags, this is expected for parent jobs, and we left tags intact.

This is not the case for dataset tags as there can be multiple sources of dataset tags, and there is no way to determine if tag value is outdated or not.

Ideally, this should be implemented as run_tag_value table, but there are issues with this approach, with a lack of user demand on pet-run tags feature.

Related issue number

Checklist

• Commit message and PR title is comprehensive
• Keep the change as small as possible
• Unit and integration tests for the changes exist
• Tests pass on CI and coverage does not decrease
• Documentation reflects the changes where applicable
• docs/changelog/next_release/<pull request or issue id>.<change type>.rst file added describing change
  (see CONTRIBUTING.rst for details.)
• My PR is ready to review.

[github-actions]

Coverage Report •

File	Stmts	Miss	Cover	Missing
data_rentgen/db/repositories
job.py	86	1	98%	231
TOTAL	7572	923	87%