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test_loop_properties.py walks the new loop with a seeded mix of operator and Gitea actions (go-aheads, stale go-aheads, answers, comments, merges, the comment-then-merge race, closes, abandon, a crash and restart) and an adaptive scripted model, checking every loop.qnt property after every step. It found two bugs, both fixed with regression tests: abandoning an item left its open PR open (the model's fix 1, now in code), and after a review fix became a follow-up PR, the next fix went to the merged branch. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PPQ14L3LikyefCMFBqEbKE
78 lines
3.4 KiB
Markdown
78 lines
3.4 KiB
Markdown
# Formal models
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[Quint](https://quint-lang.org) models of designs where interleavings matter
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more than any single code path. A model is a hand-written reading of the code:
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it finds flaws the design and the code share, not places where the code
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strays from the design. So every counterexample is also reproduced as a failing
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test against the real code before anything is changed.
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## `orchestrator.qnt`: nisse-dev's control loop
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Models `nisse-dev/src/nisse_dev/control.py`: the states, the gate, pending
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questions, Gitea comment cursors, publish intents, and the worker queue.
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Operator messages, Gitea comments, planner/executor/publisher outcomes
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(exceptions included) and **a crash at any point** all interleave freely.
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Each pure function is named after the method it mirrors.
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The properties are at the end of the file (`all_properties` is their
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conjunction). Counterexamples are written out as short traces in
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`orchestrator_scenarios.qnt`, and replayed against the real code in
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`nisse-dev/tests/test_quint_counterexamples.py`.
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```sh
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npm install -g @informalsystems/quint # 0.33 or later
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# Random simulation, one property at a time:
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quint run specs/orchestrator.qnt --invariant=no_stranding \
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--max-steps=40 --max-samples=200000
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# The counterexample traces (each expects its property to break):
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quint test specs/orchestrator_scenarios.qnt
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```
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Exhaustive bounded checking (`quint verify`) uses Apalache and needs Java 17.
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**Keeping it true.** When `control.py` changes how a state is entered or
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left, change the matching function here in the same PR. When a
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counterexample's fix lands, flip its scenario's `expect` to the property
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holding, and drop the `xfail` from its Python reproduction.
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## `loop.qnt`: the agent loop, as the architecture describes it
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Models the design in `docs/Architecture.md` rather than code, since the new
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loop doesn't exist yet:
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- work items from assigned issues and conversations;
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- restatements and revision-bound go-aheads;
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- park-and-switch, with branches pushed on parking;
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- blocked dependencies;
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- harness-owned milestones and waiting for merges;
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- review follow-ups;
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- record issues;
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- crashes and build VM wipes at any point.
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A counterexample here is a gap in the architecture, so it is fixed there,
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and the model carries the fix (marked `FIX n`). `loop_scenarios.qnt` keeps each
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counterexample as a trace of the fixed behaviour. Each trace fails if its fix
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is reverted, and each property that never failed was checked against a
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deliberately broken model.
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```sh
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quint run specs/loop.qnt --invariant=all_properties --max-steps=80 --max-samples=200000
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quint test specs/loop_scenarios.qnt
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```
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Traces need about 80 steps to reach second milestones. The `w_*` values at the
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end are reachability witnesses: each should be *violated*, which shows the
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state it names is reachable.
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**Against the real code.** `nisse-dev/tests/test_loop_properties.py` checks
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the same properties against the new loop itself: a seeded random walk over
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what the operator and Gitea can do (go-aheads, answers, comments, merges,
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closes, abandon, a crash and restart), checking every property after every
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step. It found two bugs the design model couldn't, because they were in the
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code: abandon left an open PR, and a review fix after a follow-up PR went to
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the merged branch. Each also has its own regression test.
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**Keeping it true.** When the architecture changes a rule this models, change
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the model and the walk in the same PR.
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