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fix: activity chart uses rolling chronological windows (real dates), not cyclical

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Day/Week/Month/Year now show the anchor day hour-by-hour, the last 7 days, the
last 30 days, and the last 12 months — anchored to the period end (else now), in
real date order. Replaces the cyclical hour-of-day/weekday/day-of-month/month
buckets, which left future days empty and ordered the weekend after Monday.
This commit is contained in:
rouggy
2026-07-20 21:39:24 +02:00
parent f0c4f22942
commit bfbd9fa61a
4 changed files with 53 additions and 37 deletions
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frontend/src/components/StatsPanel.tsx
+3 -3
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@@ -32,7 +32,7 @@ type Stats = {
confirmed_lotw: number; confirmed_eqsl: number; confirmed_qsl: number; confirmed_any: number;
by_mode: Bucket[]; by_band: Bucket[]; by_band_category: BandCat[]; by_operator: Bucket[]; by_station: Bucket[];
by_continent: Bucket[]; top_entities: Bucket[]; by_year: Bucket[]; by_month: Bucket[];
by_hour: Bucket[]; by_dow: Bucket[]; by_dom: Bucket[]; by_month_yr: Bucket[];
by_hour: Bucket[]; by_day7: Bucket[]; by_day30: Bucket[]; by_month12: Bucket[];
// Period / contest metrics.
window_start: string; window_end: string; window_hours: number;
avg_per_hour: number; avg_per_active: number;
@@ -518,7 +518,7 @@ const ACT_GRAN = [
] as const;
function ActivityCard({ stats, t, empty }: { stats: Stats; t: (k: string, v?: any) => string; empty: string }) {
const [g, setG] = useState<string>('timeline');
const series = g === 'day' ? stats.by_hour : g === 'week' ? stats.by_dow : g === 'month' ? stats.by_dom : g === 'year' ? stats.by_month_yr : [];
const series = g === 'day' ? stats.by_hour : g === 'week' ? stats.by_day7 : g === 'month' ? stats.by_day30 : g === 'year' ? stats.by_month12 : [];
return (
<Card title={t('stats.overTime')} sub={t('stats.overTimeSub')} className="lg:col-span-2" accent="var(--chart-1)">
<div className="mb-2 flex flex-wrap gap-1">
@@ -602,7 +602,7 @@ export function StatsPanel() {
by_mode: arr(raw.by_mode), by_band: arr(raw.by_band), by_band_category: arr(raw.by_band_category), by_operator: arr(raw.by_operator),
by_station: arr(raw.by_station), by_continent: arr(raw.by_continent),
top_entities: arr(raw.top_entities), by_year: arr(raw.by_year), by_month: arr(raw.by_month),
by_hour: arr(raw.by_hour), by_dow: arr(raw.by_dow), by_dom: arr(raw.by_dom), by_month_yr: arr(raw.by_month_yr),
by_hour: arr(raw.by_hour), by_day7: arr(raw.by_day7), by_day30: arr(raw.by_day30), by_month12: arr(raw.by_month12),
rate: arr(raw.rate), gaps: arr(raw.gaps),
rate_ops: arr(raw.rate_ops), rate_by_op: arr(raw.rate_by_op),
} as Stats);