Stats: activity heatmap as a rolling window of the last 14 days

One row per calendar day (today at the bottom) instead of weekdays
aggregated over the selected range.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
Richard ZinkandClaude Opus 5.5 committed 2026-11-09 06:22:36 +01:00
1 parent 01c1484033
commit d14c609576
5 files changed
+46 -23

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+7 -5
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@@ -433,7 +433,7 @@ impl Store {
|r| agg_row(r, 0),
)?;
let grouped = |key_sql: &str, key_name: &str| -> Result<Vec<Value>> {
let grouped_in = |from: i64, key_sql: &str, key_name: &str| -> Result<Vec<Value>> {
let mut stmt = conn.prepare(&format!(
"SELECT {key_sql}, {AGG} FROM usage WHERE ts >= ?1 AND ts < ?2 AND ?3 = ?3
AND (?4 IS NULL OR user_id = ?4) GROUP BY 1 ORDER BY 1"
@@ -451,6 +451,7 @@ impl Store {
.collect::<rusqlite::Result<Vec<_>>>()?;
Ok(rows)
};
let grouped = |key_sql: &str, key_name: &str| grouped_in(from, key_sql, key_name);
let day_sql = "strftime('%Y-%m-%d', (ts + ?3) / 1000, 'unixepoch')";
let by_day = grouped(day_sql, "day")?;
@@ -461,10 +462,11 @@ impl Store {
"COALESCE((SELECT username FROM users WHERE users.id = usage.user_id), '(none)')",
"user",
)?;
// Heatmap: weekday (0 = Sunday) x hour of day.
let heatmap = grouped(
"CAST(strftime('%w', (ts + ?3) / 1000, 'unixepoch') AS INTEGER) * 24 + \
CAST(strftime('%H', (ts + ?3) / 1000, 'unixepoch') AS INTEGER)",
// Heatmap: rolling window of the last 14 days (local date + hour),
// independent of the selected range.
let heatmap = grouped_in(
to - 15 * 86_400_000,
"strftime('%Y-%m-%d %H', (ts + ?3) / 1000, 'unixepoch')",
"slot",
)?;
let by_day_model = {
+9 -10
View File
@@ -173,33 +173,32 @@ export function StackedBars({
);
}
/** Weekday × hour heatmap with a 7-step sequential ramp. cells[weekday*24+hour]. */
/** Day × hour heatmap with a 7-step sequential ramp. cells[row*24+hour]; rows top to bottom. */
export function Heatmap({
cells,
weekdays,
rows,
format,
firstDay = 1,
}: {
cells: number[];
weekdays: string[];
/** Short label (axis) and long label (tooltip) per row. */
rows: { label: string; title: string }[];
format: (v: number) => string;
firstDay?: number;
}) {
const t = useT();
const [ref, width] = useWidth<HTMLDivElement>();
const [tip, setTip] = useState<Tip>();
const left = 40;
const left = 64;
const top = 18;
// Cells stretch with the width but stay at most 26 px tall.
const cellW = Math.max(Math.floor((width - left) / 24), 8);
const cell = Math.min(cellW, 26);
const max = Math.max(...cells, 0);
const order = Array.from({ length: 7 }, (_, i) => (firstDay + i) % 7);
const order = rows.map((_, i) => i);
const bin = (v: number) => (v <= 0 || max === 0 ? 0 : Math.min(6, 1 + Math.floor((v / max) * 5.999)));
return (
<div className="chart" ref={ref} onMouseLeave={() => setTip(undefined)}>
<svg height={top + cell * 7 + 4} role="img" aria-label={t("stats.heatmap")}>
<svg height={top + cell * rows.length + 4} role="img" aria-label={t("stats.heatmap")}>
<g className="axis">
{Array.from({ length: 24 }, (_, h) => h)
.filter((h) => h % (cellW >= 22 ? 1 : cellW >= 12 ? 3 : 6) === 0)
@@ -210,7 +209,7 @@ export function Heatmap({
))}
{order.map((d, row) => (
<text key={d} x={left - 6} y={top + row * cell + cell / 2 + 4} textAnchor="end">
{weekdays[d]}
{rows[d].label}
</text>
))}
</g>
@@ -234,7 +233,7 @@ export function Heatmap({
content: (
<>
<b>
{weekdays[d]} {String(h).padStart(2, "0")}:00–{String(h).padStart(2, "0")}:59
{rows[d].title} {String(h).padStart(2, "0")}:00–{String(h).padStart(2, "0")}:59
</b>
<div>{format(v)}</div>
</>
+28 -6
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@@ -1,7 +1,7 @@
import { Icon } from "./Icon";
import { useMemo, useState } from "react";
import { useFetch } from "../hooks";
import { fmtCompact, fmtCost, fmtDate, fmtNumber, fmtPercent, getLang, useT, weekdayNames, type Key } from "../i18n";
import { fmtCompact, fmtCost, fmtDate, fmtNumber, fmtPercent, getLang, useT, type Key } from "../i18n";
import { navigate } from "../router";
import { useStore } from "../store";
import type { User } from "../types";
@@ -19,7 +19,8 @@ interface StatsData {
by_provider: Row<"provider">[];
by_agent: Row<"agent">[];
by_user: Row<"user">[];
heatmap: (Aggregate & { slot: number })[];
/** Last 14 days: slot = "YYYY-MM-DD HH" (local time). */
heatmap: (Aggregate & { slot: string })[];
top_sessions: (Aggregate & { session_id: string; title: string })[];
currency: string;
from: number;
@@ -106,6 +107,8 @@ function AggTable({ rows, keyName, label, currency, link }: { rows: (Aggregate &
);
}
const HEAT_DAYS = 14;
export function Stats({ onMenu }: { onMenu: () => void }) {
const t = useT();
const [range, setRange] = useState("30");
@@ -146,12 +149,31 @@ export function Stats({ onMenu }: { onMenu: () => void }) {
const d = data.by_day.find((x) => x.day === c);
return d ? { input: d.input_tokens + d.cache_write_tokens, cache: d.cache_read_tokens, output: d.output_tokens } : {};
});
const cells = Array<number>(168).fill(0);
// Rolling window: the last 14 days, today at the bottom.
const iso = (d: Date) => `${d.getFullYear()}-${String(d.getMonth() + 1).padStart(2, "0")}-${String(d.getDate()).padStart(2, "0")}`;
const heatDays = Array.from({ length: HEAT_DAYS }, (_, i) => {
const d = new Date();
d.setHours(12, 0, 0, 0);
d.setDate(d.getDate() - (HEAT_DAYS - 1 - i));
return iso(d);
});
const rowOf = new Map(heatDays.map((d, i) => [d, i]));
const cells = Array<number>(HEAT_DAYS * 24).fill(0);
for (const h of data.heatmap) {
cells[h.slot] =
const [day, hour] = h.slot.split(" ");
const row = rowOf.get(day);
if (row === undefined) continue;
cells[row * 24 + Number(hour)] =
heat === "requests" ? h.requests : heat === "cost" ? h.cost : h.input_tokens + h.cache_read_tokens + h.cache_write_tokens + h.output_tokens;
}
return { cats, modelSeries, costByDay, tokenSeries, tokensByDay, cells };
const wd = new Intl.DateTimeFormat(getLang(), { weekday: "short" });
const dm = new Intl.DateTimeFormat(getLang(), { day: "numeric", month: "numeric" });
const full = new Intl.DateTimeFormat(getLang(), { weekday: "short", day: "numeric", month: "short" });
const heatRows = heatDays.map((d) => {
const date = new Date(`${d}T12:00:00`);
return { label: `${wd.format(date)} ${dm.format(date)}`, title: full.format(date) };
});
return { cats, modelSeries, costByDay, tokenSeries, tokensByDay, cells, heatRows };
}, [data, heat, t]);
const dayLabel = (d: string) =>
@@ -242,7 +264,7 @@ export function Stats({ onMenu }: { onMenu: () => void }) {
<option value="cost">{t("stats.cost")}</option>
</select>
</h3>
<Heatmap cells={view.cells} weekdays={weekdayNames()} format={heatFormat} />
<Heatmap cells={view.cells} rows={view.heatRows} format={heatFormat} />
</div>
</>
)}
+1 -1
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@@ -715,7 +715,7 @@ export const de: Messages = {
"stats.costPerDay": "Kosten pro Tag nach Modell",
"stats.tokensPerDay": "Tokens pro Tag",
"stats.heatEmpty": "keine Aktivität",
"stats.heatmap": "Aktivität nach Wochentag und Uhrzeit",
"stats.heatmap": "Aktivität der letzten 14 Tage nach Uhrzeit",
"stats.byModel": "Nach Modell",
"stats.byProvider": "Nach Provider",
"stats.byAgent": "Nach Modus",
+1 -1
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@@ -714,7 +714,7 @@ export const en = {
"stats.costPerDay": "Cost per day by model",
"stats.tokensPerDay": "Tokens per day",
"stats.heatEmpty": "no activity",
"stats.heatmap": "Activity by weekday and hour",
"stats.heatmap": "Activity of the last 14 days by hour",
"stats.byModel": "By model",
"stats.byProvider": "By provider",
"stats.byAgent": "By mode",