fix(rotatingmachine): seed operating-point flow/power telemetry at boot
The operating-point series (flow.predicted.{downstream,atequipment},
power.predicted.atequipment) were only written by calcFlow/calcPower while
operational, or by _updateState on a state transition. A machine that boots
into idle and never runs therefore emitted these keys NEVER — so InfluxDB
carried only the flow envelope (max/min) and dashboard panels querying the
operating point rendered blank, unable to show even the off/0 state.
Seed them to 0 in _init() alongside max/min, so telemetry always carries the
operating point: 0 while idle, real values once the pump runs. Verified end to
end: keys now present in InfluxDB, the Grafana flow panel resolves, and the
real prediction path produces non-zero values (~98 m3/h, ~13 kW) that flow
through getOutput to Port 1.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -36,6 +36,31 @@ test('getOutput contains all required fields in idle state', () => {
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assert.ok('pressureDriftFlags' in output);
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});
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test('getOutput seeds operating-point flow/power telemetry at boot (idle = 0, not absent)', () => {
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// Regression: an idle-from-boot machine must still emit the operating-point
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// series so dashboards can show the off/0 state. These keys are otherwise
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// only written once the pump runs (calcFlow/calcPower) or on a state
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// transition, leaving them absent in telemetry for a pump that never starts.
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const machine = new Machine(makeMachineConfig(), makeStateConfig());
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const output = machine.getOutput();
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const hasPrefix = (p) => Object.keys(output).some((k) => k.startsWith(p));
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const valueFor = (p) => output[Object.keys(output).find((k) => k.startsWith(p))];
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for (const prefix of [
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'flow.predicted.downstream',
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'flow.predicted.atequipment',
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'power.predicted.atequipment',
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]) {
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assert.ok(hasPrefix(prefix), `${prefix}.* must be present at boot (idle)`);
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assert.equal(valueFor(prefix), 0, `${prefix}.* should be 0 while idle`);
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}
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// The envelope keys remain present too.
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assert.ok(hasPrefix('flow.predicted.max'));
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assert.ok(hasPrefix('flow.predicted.min'));
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});
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test('getOutput flow drift fields appear after sufficient measured flow samples', async () => {
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const machine = new Machine(makeMachineConfig(), makeStateConfig());
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