spreadlab/web/src/lib/export.ts
Justin Visser c5cbfd3eea web: export menu, slice 11 of M3
The toolbar's Export button becomes a real menu: Data (JSON) downloads
{ base, panels, results } exactly as held in the store, Per-node CSV
writes one row per panel and node (educated flag, reachedAtRound with
-1 kept), and Picture (PNG) rasterizes each panel's live SVG with the
current theme's token values resolved, drawn side by side with labels
and the live percentage at the current round, plus legend and the
disclaimer footer line, at 2x. Items disable while a run is in flight
so exports always capture settled state.
2026-06-10 18:19:32 +02:00

234 lines
7.6 KiB
TypeScript

import { NETWORK_VIEW_HEIGHT, NETWORK_VIEW_WIDTH } from '@/composables/useLayout'
import type { SimStore } from '@/composables/useSimStore'
import { accentForPanel } from '@/lib/accents'
import { roundPct } from '@/lib/format'
import { reachedCountDisplayed } from '@/lib/reach'
// Export (spec 5.9). JSON and CSV come straight from store state; the PNG
// snapshot serializes each panel's live SVG (CSS variables resolved to the
// current theme's colors), draws them side by side with labels and
// percentages at the current round, and appends the legend and the
// disclaimer footer line, all at 2x resolution.
function downloadBlob(blob: Blob, filename: string) {
const link = document.createElement('a')
link.href = URL.createObjectURL(blob)
link.download = filename
link.click()
URL.revokeObjectURL(link.href)
}
export function exportJson(store: SimStore) {
const payload = {
base: store.state.base,
panels: store.state.panels,
results: store.state.resultsByPanelId,
}
downloadBlob(
new Blob([JSON.stringify(payload, null, 2)], { type: 'application/json' }),
'spreadlab-export.json',
)
}
function csvCell(value: string): string {
return /[",\n]/.test(value) ? `"${value.replaceAll('"', '""')}"` : value
}
export function exportCsv(store: SimStore) {
const lines = ['panel,label,node,educated,reachedAtRound']
store.state.panels.forEach((panel, panelIndex) => {
const result = store.state.resultsByPanelId[panel.id]
if (!result) return
const educatedNodes = new Set(result.educated)
result.reachedAtRound.forEach((reachedAt, node) => {
lines.push(
`${panelIndex},${csvCell(panel.label)},${node},${educatedNodes.has(node)},${reachedAt}`,
)
})
})
downloadBlob(new Blob([`${lines.join('\n')}\n`], { type: 'text/csv' }), 'spreadlab-nodes.csv')
}
// ---------- PNG snapshot ----------
const PNG_SCALE = 2
const PANEL_WIDTH = NETWORK_VIEW_WIDTH * PNG_SCALE
const PANEL_HEIGHT = NETWORK_VIEW_HEIGHT * PNG_SCALE
const PAGE_PADDING = 48
const PANEL_GAP = 32
const HEADER_HEIGHT = 64
const LEGEND_HEIGHT = 56
const FOOTER_HEIGHT = 52
const TOKEN_NAMES = [
'--bg',
'--surface',
'--border',
'--edge',
'--unreached',
'--spread',
'--edu',
'--ink',
'--ink-2',
'--ink-3',
'--ink-4',
] as const
function resolveThemeTokens(): Record<string, string> {
const rootStyle = getComputedStyle(document.documentElement)
const tokens: Record<string, string> = {}
for (const name of TOKEN_NAMES) tokens[name] = rootStyle.getPropertyValue(name).trim()
return tokens
}
function svgToImage(
svgElement: SVGSVGElement,
tokens: Record<string, string>,
): Promise<HTMLImageElement> {
const clone = svgElement.cloneNode(true) as SVGSVGElement
clone.setAttribute('width', `${PANEL_WIDTH}`)
clone.setAttribute('height', `${PANEL_HEIGHT}`)
const markup = new XMLSerializer()
.serializeToString(clone)
.replace(/var\((--[a-z0-9-]+)\)/g, (_, tokenName: string) => tokens[tokenName] ?? '#000000')
const image = new Image()
return new Promise((resolve, reject) => {
image.onload = () => resolve(image)
image.onerror = reject
image.src = `data:image/svg+xml;charset=utf-8,${encodeURIComponent(markup)}`
})
}
const FONT_STACK = "'Inter Variable', Inter, system-ui, sans-serif"
export async function exportPng(store: SimStore): Promise<void> {
const tokens = resolveThemeTokens()
const panelsWithSvg = store.state.panels.flatMap((panel, panelIndex) => {
const svgElement = document.querySelector<SVGSVGElement>(`#panel-${panel.id} svg.net`)
const result = store.state.resultsByPanelId[panel.id]
return svgElement && result ? [{ panel, panelIndex, svgElement, result }] : []
})
if (panelsWithSvg.length === 0) return
const images = await Promise.all(
panelsWithSvg.map(({ svgElement }) => svgToImage(svgElement, tokens)),
)
const panelCount = panelsWithSvg.length
const width = 2 * PAGE_PADDING + panelCount * PANEL_WIDTH + (panelCount - 1) * PANEL_GAP
const height =
PAGE_PADDING +
HEADER_HEIGHT +
PANEL_HEIGHT +
20 +
LEGEND_HEIGHT +
FOOTER_HEIGHT +
PAGE_PADDING / 2
const canvas = document.createElement('canvas')
canvas.width = width
canvas.height = height
const ctx = canvas.getContext('2d')
if (!ctx) return
ctx.fillStyle = tokens['--bg'] ?? '#ffffff'
ctx.fillRect(0, 0, width, height)
panelsWithSvg.forEach(({ panel, panelIndex, result }, drawIndex) => {
const x = PAGE_PADDING + drawIndex * (PANEL_WIDTH + PANEL_GAP)
const numStudents = store.effectiveConfig(panel).numStudents
const pctNow =
(reachedCountDisplayed(result.reachedAtRound, store.state.round, store.state.roundProgress) /
numStudents) *
100
// Header: accent swatch, label, percentage at the current round.
ctx.fillStyle = accentForPanel(panelIndex)
ctx.beginPath()
ctx.roundRect(x, PAGE_PADDING + 8, 18, 18, 5)
ctx.fill()
ctx.fillStyle = tokens['--ink-2'] ?? '#333'
ctx.font = `600 26px ${FONT_STACK}`
ctx.textBaseline = 'middle'
ctx.fillText(panel.label, x + 30, PAGE_PADDING + 18, PANEL_WIDTH - 140)
const pctLabel = `${roundPct(pctNow)}%`
ctx.fillStyle =
roundPct(pctNow) <= store.preset.toneThresholdPct
? (tokens['--edu'] ?? '#14b8a6')
: (tokens['--spread'] ?? '#f43f5e')
ctx.font = `700 32px ${FONT_STACK}`
ctx.textAlign = 'right'
ctx.fillText(pctLabel, x + PANEL_WIDTH, PAGE_PADDING + 18)
ctx.textAlign = 'left'
const image = images[drawIndex]
if (image) ctx.drawImage(image, x, PAGE_PADDING + HEADER_HEIGHT, PANEL_WIDTH, PANEL_HEIGHT)
})
// Legend row.
const legendY = PAGE_PADDING + HEADER_HEIGHT + PANEL_HEIGHT + 20 + LEGEND_HEIGHT / 2
let legendX = PAGE_PADDING
ctx.font = `500 22px ${FONT_STACK}`
const legendEntries: { draw: (cx: number, cy: number) => void; text: string }[] = [
{
text: 'Forwarded the fake',
draw: (cx, cy) => {
ctx.fillStyle = tokens['--spread'] ?? '#f43f5e'
ctx.beginPath()
ctx.arc(cx, cy, 9, 0, Math.PI * 2)
ctx.fill()
},
},
{
text: 'Educated to refuse',
draw: (cx, cy) => {
ctx.strokeStyle = tokens['--edu'] ?? '#14b8a6'
ctx.lineWidth = 4
ctx.beginPath()
ctx.arc(cx, cy, 7, 0, Math.PI * 2)
ctx.stroke()
},
},
{
text: 'Not reached',
draw: (cx, cy) => {
ctx.fillStyle = tokens['--unreached'] ?? '#d8dfe9'
ctx.beginPath()
ctx.arc(cx, cy, 9, 0, Math.PI * 2)
ctx.fill()
},
},
{
text: 'Origin',
draw: (cx, cy) => {
ctx.strokeStyle = tokens['--spread'] ?? '#f43f5e'
ctx.lineWidth = 3.5
ctx.beginPath()
ctx.arc(cx, cy, 8, 0, Math.PI * 2)
ctx.stroke()
},
},
]
for (const entry of legendEntries) {
entry.draw(legendX + 9, legendY)
ctx.fillStyle = tokens['--ink-3'] ?? '#64748b'
ctx.fillText(entry.text, legendX + 28, legendY)
legendX += 28 + ctx.measureText(entry.text).width + 44
}
// Disclaimer footer line, always part of the picture (spec 5.12).
const footerY = legendY + LEGEND_HEIGHT / 2 + FOOTER_HEIGHT / 2
ctx.fillStyle = tokens['--ink-4'] ?? '#94a3b8'
ctx.font = `italic 500 22px ${FONT_STACK}`
ctx.fillText(
'Illustrative (not validated output) · an agent-based toy model, parameters chosen for clarity',
PAGE_PADDING,
footerY,
)
ctx.textAlign = 'right'
ctx.font = `500 22px ${FONT_STACK}`
ctx.fillText('spreadlab', width - PAGE_PADDING, footerY)
ctx.textAlign = 'left'
const blob = await new Promise<Blob | null>((resolve) => canvas.toBlob(resolve, 'image/png'))
if (blob) downloadBlob(blob, 'spreadlab.png')
}