Memory leak with uirevision while in storybook (scatter3d)

Bắt đầu với benchmark của Storybook và Scatter3D.tsx, so sánh các lần render lặp lại với uirevision=1 với phiên bản đã xóa trường đó. Tái hiện hành vi trong Storybook và so sánh với quan sát CodeSandbox được cung cấp, sau đó xác định liệu bộ nhớ bị giữ lại là do react-plotly.js, scatter3d hay môi trường Storybook gây ra. Được coi là hoàn tất khi phạm vi của leak có thể tái hiện và đã xác nhận được bản sửa hoặc có chẩn đoán upstream rõ ràng.

I was doing some benchmarking and noticed a memory leak stemming from having uirevision=1. i comment out the field and no more leak.
I can't say if this is isolated to scatter3d, but thats what I was benchmarking.

i hit the issue only in storybook. porting the same code over to codesandbox does not encounter the leak. likewise if i comment out my <Scatter3D/> component from the Render, i do not encounter the leak.
apologies in advance if this is a storybook bug and not a plotly bug.

this is all pretty throwaway code half written with claude so forgive me for messiness!

// story
import type { Meta, StoryObj } from "@storybook/react";
import {
  useEffect,
  useState,
  useRef,
  useCallback,
  useDeferredValue,
} from "react";

import { Scatter3D } from "./Scatter3D";

const meta: Meta<typeof Scatter3D> = {
  title: "Charts/Scatter3D",
  component: Scatter3D,
  parameters: {
    layout: "centered",
  },
};

export default meta;

// Helper function to generate random data
function generateRandomData(traceCount: number, pointsPerTrace: number) {
  return Array.from({ length: traceCount }, (_, traceIndex) => ({
    x: Array.from({ length: pointsPerTrace }, () => Math.random() * 100),
    y: Array.from({ length: pointsPerTrace }, () => Math.random() * 100),
    z: Array.from({ length: pointsPerTrace }, () => Math.random() * 100),
    name: `Trace ${traceIndex + 1}`,
  }));
}

export const Benchmarking: StoryObj<{
  traceCount: number;
  updateFrequencyMs: number;
  dataPointsPerTrace: number;
}> = {
  args: {
    traceCount: 1,
    dataPointsPerTrace: 10000,
    updateFrequencyMs: 100,
  },
  render: 
};

// Scatter3D.tsx
import React, { memo } from "react";
import Plot from "react-plotly.js";

export interface Scatter3DProps {
  data: Array<{
    x: number[];
    y: number[];
    z: number[];
    name?: string;
  }>;
  title?: string;
  xAxisLabel?: string;
  yAxisLabel?: string;
  onAfterPlot?: any;
}

const spikeConfig = {
  spikethickness: 1,
  spikesides: true,
  spikecolor: "black",
};

export const Scatter3D = memo(function Scatter3D({
  data,
  title = "3D Scatter Plot",
  xAxisLabel = "X Axis",
  yAxisLabel = "Y Axis",
  onAfterPlot,
}: Scatter3DProps) {
  return (
    <Plot
      data={data.map((trace, i) => ({
        ...trace,
        type: "scatter3d" as const,
        mode: "markers",
        marker: {
          color: `hsl(${(i * 360) / data.length}, 70%, 50%)`,
          size: 2,
          opacity: 0.8,
          symbol: "circle",
          line: { width: 0 },
        },
        name: trace.name ?? `Trace ${i + 1}`,
      }))}
      layout={{
        width: 500,
        height: 500,
        scene: {
          aspectmode: "cube",
          xaxis: { ...spikeConfig, title: xAxisLabel },
          yaxis: { ...spikeConfig, title: yAxisLabel },
          zaxis: { ...spikeConfig, title: "Z Axis" },
          camera: {
            up: { z: 1 },
            eye: { x: 2, y: 2, z: 1.5 },
          },
        },
        uirevision: 1,
      }}
      config={{
        displaylogo: false,
        responsive: true,
        plotGlPixelRatio: 1,
        showAxisDragHandles: false,
        showAxisRangeEntryBoxes: false,
        queueLength: 0,
      }}
      useResizeHandler={false}
      onAfterPlot={onAfterPlot}
    />
  );
});