The five UI items in TODO.md become an executable pipeline. Planning files only — no application code changed. - 01_severity_language: one Python threshold table + `severity` on the values the pages colour, plus the .hero style. Today the thresholds are magic numbers at six JS call sites (75/90 here, 80/92 there), which is exactly how "same colour, four meanings" happens. - 02_overview_fleet_and_alerts: /api/summary gains a derived `alerts` list; the page drops to fleet + warnings. Unconfigured sources must not alert — that is invariant 3, tested. - 03_system_per_host_panels: per-host hero cards, no per-core, shared multi-host charts and the detail picker deleted. The six card metrics already exist in the payload, so the first task pins them with tests instead of inventing fields. - 04_llm_chart_readability: charts.js already exports sparkline() and no page calls it — that is why the page reads flat. Port llm_monitor's drawSpark behaviour (fixed max, right growth, p95 foots) and keep the provenance tags. - 05_ups_hero_battery_glyph: charge/load/runtime hero + an SVG battery whose fill is the charge, verified against both real UPSes and the low-charge/on-battery states only the simulator can produce. PLAN.md records the ratified anchors and the deviation worth knowing: severity vocabulary is ok|warn|fail, matching dash.css and nut.py, not the "danger" wording in the proposal — one synonym for one colour. TODO.md cleared to a bare heading; the items are now phases. .gitignore stops ignoring all of .agents/ (the roadmap is project history) while keeping phase-sessions/ and pipeline.log out. deploy/nut-sudoers rewritten: its header still blamed a port mystery that is solved; the remaining need is reading upsd.users so adding a scoped dashboards user does not delete the accounts upsmon authenticates as. LLM-Generated: true
3.7 KiB
3.7 KiB
Task 01 — Severity module
Phase: 01_severity_language · Source: TODO.md:5 — "proper green (good), yellow (warn), red (danger) color coding" and TODO.md:7 — "charge, load, and runtime left to be big, obvious, and color coded"
Story: n/a
Objective
Move the good/worrying/bad decision out of the browser and into one Python module, so the four pages cannot drift into four different opinions about what red means.
Today the thresholds live in call sites: page-system.js:129 passes 75, 90,
page-system.js:139 and :144 pass 80, 92, page-index.js:89 passes 80, 92,
page-llm.js:195 and :307 pass 75, 90, and Dash.severityFor (app.js:105) defaults
to 75/90. That is the drift this task ends.
Work
src/dashboards/severity.py(new) —THRESHOLDS: dict[str, tuple[float, float]]keyed by metric name, with the ratified defaults:cpu.usage_pct75/90,mem.used_pct80/92,disk.used_pct80/90,cpu.temp_c75/90,gpu.busy_pct85/95,gpu.mem_used_pct85/95,llm.kv_cache_usage_pct75/90,ups.charge_pct50/20,ups.battery_runtime600/300,ups.load_pct70/90.INVERTED: set[str]— metrics where lower is worse (ups.charge_pct,ups.battery_runtime), so callers cannot get the direction wrong.classify(metric: str, value: float | None) -> str | Nonereturningok,warn,fail, orNone.Nonein →Noneout, always.attach(metric: str, value: float | None) -> dictreturning{"value": value, "severity": classify(...)}for the payload shapes that are plain numbers, andwith_severity(metric, cell)for payloads that already are{"value":…, "source":…, "derived":…}(LLM metrics) — additive, never a rename.- Module docstring stating the two rules: unknown is not ok (it is
None, the page rendersn/awith no colour), and a threshold exists nowhere else in the app. Ties to theAGENTS.md"never invent a number" rule.
tests/test_severity.py(new) —- boundaries inclusive on the warn edge (
75 → warn,74.9 → ok), danger edge (90 → fail), every metric in the table, both directions for the inverted ones, unknown metric name →None(no exception),Noneandfloat("nan")→None. - a table sanity test asserting each entry's bounds are ordered correctly for its direction, so a future edit cannot silently invert a metric.
- ASSUMPTION: the numbers above were confirmed in chat on 2026-10-16; they match what the call sites already pass, except the two UPS metrics which are new.
- ASSUMPTION: the vocabulary is
ok|warn|fail, notok|warn|danger— it is whatdash.css(.bar.ok,.dot.warn,.chip.fail,ul.checks li.fail) andsources/nut.py'shealth.checks[].statusalready use. The TODO's word "danger" maps tofail; do not introduce a synonym for the same colour. - ASSUMPTION:
sources/nut.py's existinghealth.checks[].statusvalues are left untouched (additive-only anchor).severityis a new field on values, computed by this module;nut.assess()keeps its own judgement about conditions.
- boundaries inclusive on the warn edge (
Testing & Quality
- Unit only, no I/O, no fixtures needed.
- Coverage: >90% on
severity.py.
Completion Criteria
uv run pytest tests/test_severity.py -vgreenuv run python -c "from dashboards.severity import classify as c; print(c('cpu.usage_pct',95), c('cpu.usage_pct',60), c('cpu.usage_pct',None), c('ups.charge_pct',15))"→fail ok None failuv run pytestgreen overall;ruff+pyrightclean- Nothing else changed yet — this task adds a leaf module and its tests