Files
lynchmark/tests/9_stream_visualizer/outputs/openai_gpt-5.2.js
2025-12-11 18:42:54 +00:00

48 lines
1.2 KiB
JavaScript

async function createStreamVisualizer(asyncIterable, o = {}) {
let {
maxPoints = 500,
alpha = 0.2,
width = 600,
height = 200,
yDomain = [0, 1]
} = o
alpha = +alpha
if (!(alpha >= 0 && alpha <= 1)) alpha = 0.2
let d3 = await import("https://cdn.jsdelivr.net/npm/d3@7/+esm")
let data = [], ema, seeded = false
for await (let p of asyncIterable) {
let timestamp, value
if (Array.isArray(p)) [timestamp, value] = p
else if (p && typeof p == "object") ({ timestamp, value } = p)
else (timestamp = Date.now()), (value = p)
timestamp = +timestamp
value = +value
if (!seeded) (ema = value), (seeded = true)
else ema = alpha * value + (1 - alpha) * ema
data.push({ timestamp, value, ema })
if (data.length > maxPoints) data.splice(0, data.length - maxPoints)
}
let path = ""
if (data.length) {
let t0 = data[0].timestamp, t1 = data.at(-1).timestamp
if (t0 === t1) t1 = t0 + 1
let x = d3.scaleLinear().domain([t0, t1]).range([0, width])
let y = d3.scaleLinear().domain(yDomain).range([height, 0])
path = d3.line().x(d => x(d.timestamp)).y(d => y(d.ema))(data) || ""
}
return { data, path }
}
export default createStreamVisualizer;
// Generation time: 18.105s
// Result: PASS