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refactor(insights): read the mood bands from a leaf module so mood-patterns no longer imports its hub
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@@ -283,16 +283,14 @@ export const MOOD_CROSS_METRIC_ROW_CAP = 50_000;
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// --- Target bands (mirror mood-chart VALUE_BANDS + mood-status) ---
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/**
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* The mood-status generator grades "in target" as score >= 3.5. The
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* mood-chart paints three reference bands (1–2 red, 2–3 orange, 3–5
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* green). We keep both anchored here so the heatmap colour map and the
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* in-target headline never drift from the line chart.
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*/
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export const MOOD_GREEN_MIN = 3.5;
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export const MOOD_GREEN_MAX = 5;
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export const MOOD_ORANGE_MIN = 2;
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export const MOOD_ORANGE_MAX = 3.5;
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// Defined in a leaf module so the per-domain modules this hub re-exports can
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// read them without importing the hub back.
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export {
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MOOD_GREEN_MAX,
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MOOD_GREEN_MIN,
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MOOD_ORANGE_MAX,
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MOOD_ORANGE_MIN,
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} from "@/lib/insights/mood-bands";
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// --- Pair two daily-bucket series on dayOffset (lifted from mood-status) ---
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@@ -0,0 +1,12 @@
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/**
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* The mood scale's target bands (mirror mood-chart VALUE_BANDS + mood-status).
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*
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* The mood-status generator grades "in target" as score >= 3.5. The
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* mood-chart paints three reference bands (1–2 red, 2–3 orange, 3–5
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* green). We keep both anchored here so the heatmap colour map and the
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* in-target headline never drift from the line chart.
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*/
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export const MOOD_GREEN_MIN = 3.5;
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export const MOOD_GREEN_MAX = 5;
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export const MOOD_ORANGE_MIN = 2;
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export const MOOD_ORANGE_MAX = 3.5;
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@@ -11,11 +11,10 @@
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*/
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import { dayOffsetToDayKey } from "@/lib/insights/bucket-series";
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import {
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MOOD_GREEN_MAX,
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MOOD_GREEN_MIN,
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type DailyPoint,
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type MoodAggregateEntry,
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import { MOOD_GREEN_MAX, MOOD_GREEN_MIN } from "@/lib/insights/mood-bands";
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import type {
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DailyPoint,
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MoodAggregateEntry,
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} from "@/lib/insights/mood-aggregates";
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import { round } from "@/lib/insights/status-shared";
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import { DEFAULT_TIMEZONE } from "@/lib/tz/format";
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