perf: 优化波形核心算法与图框网格控制

This commit is contained in:
李启源
2026-07-22 10:56:25 +08:00
parent 21bf0d803e
commit 356f55c9fd
16 changed files with 613 additions and 191 deletions

View File

@@ -22,34 +22,42 @@ export interface PreparedWaveformSeries {
points: WaveformPoint[]
xDomain: [number, number]
yDomain: [number, number]
hasErrorPoints: boolean
}
function pointDomain(
function pointMetrics(
points: WaveformPoint[],
key: 'x' | 'y',
includeErrors = false,
): [number, number] {
let minimum = Number.POSITIVE_INFINITY
let maximum = Number.NEGATIVE_INFINITY
points.forEach((point) => {
const value = point[key]
if (value < minimum) minimum = value
if (value > maximum) maximum = value
if (key === 'y' && includeErrors) {
): { xDomain: [number, number]; yDomain: [number, number]; hasErrorPoints: boolean } {
let xMinimum = Number.POSITIVE_INFINITY
let xMaximum = Number.NEGATIVE_INFINITY
let yMinimum = Number.POSITIVE_INFINITY
let yMaximum = Number.NEGATIVE_INFINITY
let hasErrorPoints = false
for (const point of points) {
if (point.x < xMinimum) xMinimum = point.x
if (point.x > xMaximum) xMaximum = point.x
if (point.y < yMinimum) yMinimum = point.y
if (point.y > yMaximum) yMaximum = point.y
if (includeErrors) {
const errors = resolveWaveformPointErrors(point)
minimum = Math.min(minimum, point.y - errors.lower)
maximum = Math.max(maximum, point.y + errors.upper)
if (errors.lower !== 0 || errors.upper !== 0) hasErrorPoints = true
yMinimum = Math.min(yMinimum, point.y - errors.lower)
yMaximum = Math.max(yMaximum, point.y + errors.upper)
}
})
return paddedDomain(Number.isFinite(minimum) ? [minimum, maximum] : [])
}
return {
xDomain: paddedDomain(Number.isFinite(xMinimum) ? [xMinimum, xMaximum] : []),
yDomain: paddedDomain(Number.isFinite(yMinimum) ? [yMinimum, yMaximum] : []),
hasErrorPoints,
}
}
export function prepareWaveformSeries(data: WaveformData): PreparedWaveformSeries[] {
return normalizeWaveformSeries(data).map((series) => ({
...series,
xDomain: pointDomain(series.points, 'x'),
yDomain: pointDomain(series.points, 'y', series.errorBar.visible),
}))
return normalizeWaveformSeries(data).map((series) => {
const metrics = pointMetrics(series.points, series.errorBar.visible)
return { ...series, ...metrics }
})
}
export function usePreparedWaveformSeries(data: () => WaveformData, onDataChange: () => void) {