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feat(insights): populate the trailing sparkline series on derived metrics
The Derived<T> tile (SparklineDeltaTile) renders a trailing series, but the engines never filled it, so the inline sparkline was always empty. Each engine now carries a capped trailing series sourced from the rows it already reads: - baseline-band metrics (incl. wrist-temperature / stair ascent+descent) ship the per-day mean series the band is built from; - HRV balance reuses the day-mean read it already does for the recent average; - the wellness scores (recovery / stress / strain) ship their window scores; - the six-minute-walk band ships its reading series; - BMI reads a bounded recent-weight set and derives a BMI series at the fixed profile height. All series cap at the last 30 points. The vitals dashboard wires the series into the baseline, HRV and BMI tiles; the tile already renders >= 2 points and collapses the sparkline row otherwise.
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@@ -192,6 +192,7 @@ function BaselineTile({
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value={v.center}
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unit={unit}
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icon={Icon}
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series={v.series}
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framing={framing}
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directionSentiment={vitalSentiment(type)}
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provenance={
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@@ -320,6 +321,7 @@ function HrvBalanceTile({ read, isLoading }: TileProps) {
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value={v.recentAvg}
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unit={getUnitForType("HEART_RATE_VARIABILITY")}
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icon={HeartPulse}
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series={v.series}
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directionSentiment="up-good"
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framing={framing}
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precision={0}
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@@ -345,6 +347,7 @@ function BmiTile({ read, isLoading }: TileProps) {
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value={v.bmi}
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unit={getUnitForType("BODY_MASS_INDEX")}
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icon={Scale}
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series={v.series}
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directionSentiment="neutral"
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framing={framing}
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precision={1}
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