Tests mflux

Exécutez des tests pytest (rapides/lents/complets) dans mflux en préservant les sorties d'images et en gérant les différences d'images de référence de manière sécurisée.

Spar Skills Guide Bot
TestingIntermédiaire
19011/03/2026
Claude CodeCursorCopilot
#pytest#image-testing#golden-images#test-automation#mflux

name: mflux-testing description: Run tests in mflux (fast/slow/full), preserve image outputs, and handle golden image diffs safely.

mflux testing

This repo uses pytest with image-producing tests. Always preserve outputs for inspection and never update reference images unless explicitly asked.

When to Use

  • You need to run tests (fast/slow/full) or debug failing tests.
  • There are image/golden mismatches and you need to report paths/output for review.

Instructions

  • Prefer the Makefile test targets:
    • make test-fast (fast tests, no image generation)
    • make test-slow (slow tests, image generation)
    • make test (full suite)
  • Always keep MFLUX_PRESERVE_TEST_OUTPUT=1 on test runs (already built into the Makefile test targets).
  • If a change affects defaults, config resolution, metadata fields, or CLI behavior, add or update tests that cover the changed behavior directly instead of relying only on manual verification.
  • If tests fail:
    • Summarize the failing test names and the key assertion output.
    • Point to any generated images/artifacts on disk for manual review.
  • Do not regenerate/replace reference (“golden”) images unless the user explicitly requests it.

Manual validation (config resolution + local model paths)

Use when a change touches model config resolution, mflux-save, or the model’s generate CLI, or when a PR fixes local model-path handling for the model under investigation. Refer to the mflux-cli skill to find the correct generate command for the model you are testing.

  • Run a local-path quantize/save:
    • Use the mflux-cli skill to look up the correct command and flags.
    • Verify CLI usage with the command’s --help before running it.
    • Save to a known location (e.g., Desktop) to make follow-up steps explicit.
  • Run generation from the saved model using the correct model-specific generate CLI:
    • Use the mflux-cli skill to find the generate command and required flags.
    • Verify CLI usage with the command’s --help before running it.
  • If the model has multiple size variants, repeat the above for each variant to confirm the correct overrides are applied.
  • Do not commit output artifacts; delete or leave them untracked.
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