{ "$schema": "https://ui.shadcn.com/schema/registry-item.json", "name": "event-barcode", "type": "registry:component", "title": "Event barcode", "description": "Every event as a thin line, by service. Sample data: requests to chat API, embeddings and agents over 24 hours, OK, slow and error.", "registryDependencies": [ "@chartory/core", "@chartory/plot-barcode" ], "files": [ { "path": "registry/chartory/components/event-barcode.tsx", "type": "registry:component", "target": "components/chartory/event-barcode.tsx", "content": "// SPDX-License-Identifier: MIT · Copyright (c) 2026 BEY AGENCY LTD · Chartory, usechartory.com\n// Event barcode (Chartory chart 061): sizes xs | s | m | l, laid out again from the data at each\n// size; collection \"hearth\" (default) or \"signal\" (with @chartory/signal, Code and Complete). Data in the type's shape (default: the sample). Docs:\n// https://usechartory.com/docs/charts/event-barcode\nimport { ChartView, type ChartViewProps } from \"@/lib/chartory/charts/chart-view\"\nimport { registerChart } from \"@/lib/chartory/charts/defs\"\nimport { data as sample } from \"@/lib/chartory/charts/types/061-event-barcode/data\"\nimport { def } from \"@/lib/chartory/charts/types/061-event-barcode/layout\"\n\nregisterChart(def, sample)\n\nexport type EventBarcodeData = typeof sample\nexport type EventBarcodeProps = Omit & {\n /** the data to draw (default: the sample) */\n data?: EventBarcodeData\n /** further data states: the chart morphs to them (update) or ticks through them (live, with interval) */\n states?: EventBarcodeData[]\n}\n\nexport function EventBarcode(props: EventBarcodeProps) {\n return \n}\n" }, { "path": "registry/chartory/charts/types/061-event-barcode/data.ts", "type": "registry:lib", "target": "lib/chartory/charts/types/061-event-barcode/data.ts", "content": "// SPDX-License-Identifier: MIT · Copyright (c) 2026 BEY AGENCY LTD · Chartory, usechartory.com\n// 061 Event barcode · sample data (Figma chart/061, request outcomes over the last 24 h on 3 services; events seeded).\nimport type { BarcodeData } from \"../../plots/barcode\";\n\nexport const data: BarcodeData = {\n seed: 61,\n weights: [0.05, 0.03, 0.02, 0.02, 0.03, 0.08, 0.2, 0.4, 0.62, 0.74, 0.8, 0.76, 0.66, 0.7, 0.74, 0.8, 0.88, 0.95, 1, 0.86, 0.6, 0.38, 0.2, 0.1],\n xl: { 0: \"00:00\", 6: \"06:00\", 12: \"12:00\", 18: \"18:00\", 24: \"NOW\" },\n rows: [\n { label: \"Chat API\", n: 150, err: 0.02, slow: 0.06 },\n { label: \"Embeddings\", n: 110, err: 0.005, slow: 0.02 },\n { label: \"Agents\", n: 90, err: 0.06, slow: 0.12 },\n ],\n};\n" }, { "path": "registry/chartory/charts/types/061-event-barcode/layout.ts", "type": "registry:lib", "target": "lib/chartory/charts/types/061-event-barcode/layout.ts", "content": "// SPDX-License-Identifier: MIT · Copyright (c) 2026 BEY AGENCY LTD · Chartory, usechartory.com\n// 061 Event barcode (Figma chart/061, \"Request outcomes\"): C.barcode, sampled requests per service over 24 h.\nimport type { ChartDef, TooltipSpec } from \"../../core/shell\";\nimport { barcode } from \"../../plots/barcode\";\nimport { data } from \"./data\";\n\nconst pct = (v: number) => +(v * 100).toFixed(1) + \"%\";\n\nconst r4 = (v: number) => Math.round(v * 10000) / 10000;\n\n/** Outcome counts per lane, drawn exactly as the plot draws them (same seeded sequence, lane after lane). */\nconst outcomes = (o: typeof data): { ok: number; slow: number; err: number }[] => {\n let s = o.seed ?? 7;\n const rnd = () => { s = (s * 16807) % 2147483647; return s / 2147483647; };\n const wm = Math.max(...o.weights);\n return o.rows.map((row) => {\n const c = { ok: 0, slow: 0, err: 0 };\n let made = 0, guard = 0;\n while (made < row.n && guard++ < row.n * 20) {\n const t = rnd();\n if (rnd() > o.weights[Math.min(23, Math.floor(t * 24))] / wm) continue;\n const q = rnd();\n if (q < row.err) c.err++; else if (q < row.err + row.slow) c.slow++; else c.ok++;\n made++;\n }\n return c;\n });\n};\n\n// tooltip: one service lane (group = lane): its sampled requests by outcome over the 24 h\nconst tip = (o: typeof data, g: number): TooltipSpec | null => {\n const r = o.rows[g], c = outcomes(o)[g];\n if (!r || !c) return null;\n const n = c.ok + c.slow + c.err;\n return {\n kind: \"series\",\n caps: r.label.toUpperCase() + \" · LAST 24 H\",\n rows: [\n { label: \"OK\", value: String(c.ok), swatch: \"text/action\" },\n { label: \"Slow\", value: String(c.slow), swatch: \"status/warning\" },\n { label: \"Error\", value: String(c.err), swatch: \"status/danger\" },\n ],\n total: { label: \"Requests\", value: String(n) },\n };\n};\n\nexport const def: ChartDef = {\n no: 61,\n slug: \"event-barcode\",\n legend: [[\"text/action\", \"OK\"], [\"status/warning\", \"Slow\"], [\"status/danger\", \"Error\"]],\n plot: (K, p, w, d) => barcode(K, p, w, (d as typeof data | undefined) ?? data),\n tip: (d, g) => tip(d as typeof data, g),\n // the next 24 h: a new sample of the same number of requests per service, error and slow rates move up to ±25 %\n update: (d, step) => {\n const o = d as typeof data;\n return { ...o, seed: (o.seed ?? 7) + step * 97, rows: o.rows.map((r, k) => ({ ...r, err: r4(r.err * (1 + 0.25 * Math.sin(k * 1.9 + step * 2.2))), slow: r4(r.slow * (1 + 0.2 * Math.sin(k * 1.1 + step * 1.6))) })) };\n },\n describe: {\n title: \"Request outcomes\",\n summary: `${data.rows.reduce((a, r) => a + r.n, 0)} sampled requests over the last 24 hours on ${data.rows.length} services; Agents has the highest error rate at ${pct(data.rows[2].err)}.`,\n table: { head: [\"Service\", \"Sampled requests\", \"Error rate\", \"Slow rate\"], rows: data.rows.map((r) => [r.label, r.n, pct(r.err), pct(r.slow)]) },\n },\n};\n" } ], "categories": [ "charts", "schedule-and-status" ], "meta": { "access": "free", "no": 61, "family": "Schedule and status" } }