Files
computer-playbook/scripts/tests
kevinveenbirkenbachandClaude Opus 5 98396dcfbb fix(ci): bring docker back up on every exit after the data-root stop
The script stops the daemon at :157-158 and starts it again only on the success
path at :220. decline() exits 0 and set -e exits non-zero, and both walk past
that start, so any other outcome leaves the host without docker. One of the
three callers is test-deploy-host.yml:171, where the script runs on the GitHub
runner itself rather than in a lab node container.

An EXIT trap rather than a restart inside decline(), because decline is not the
only affected exit: arm_autoclear's exit 1 and every set -e abort at mkdir,
truncate, zfs create, mkfs, mount, btrfs subvolume create and the daemon.json
writer sit in the same window. The trap is armed only after the stop, and
DOCKER_STOPPED=false after a successful start makes it a no-op on the green
path. A failed restart is reported rather than swallowed, so it cannot hide the
failure that led there.

This hazard predates 02dc003bb: the loop-device decline added in the commit
before it has the same property. 02dc003bb widened it by putting a second
decline behind the stop.

Verified with a stubbed-PATH harness driving the real script: after a failed
zpool create the call log contains `systemctl start docker`, and it comes after
`losetup -d`, so the teardown still precedes the restart. REQUIRED=true still
exits 1, the success path is unchanged.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-03 18:00:41 +02:00
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Test Utilities 🧪

This directory holds the operational side of testing in Infinito.Nexus.

These assets are meant to support confidence, not ceremony. They help the project validate real-world behavior across local development, CI environments, and deployment-oriented smoke tests. The emphasis is on practical feedback: when something breaks, the surrounding test tooling should make the failure easier to understand, easier to reproduce, and easier to clean up. 🚀

Good changes in this area usually make the test experience more:

  • repeatable
  • diagnosable
  • environment-aware
  • safe to rerun

The ideal outcome is boring reliability: contributors should be able to trust that a test run says something meaningful about the system, not just about the machine that happened to execute it. ✅