Show density/noise value at cursor (#282)

* Fix #277 WIP show density at cursor

* Correctly implement hovered value for noise and df previews
This commit is contained in:
Misode
2022-11-10 02:01:50 +01:00
committed by GitHub
parent 947e44224d
commit e89cdfb0ad
6 changed files with 71 additions and 27 deletions

View File

@@ -1,7 +1,7 @@
import { useEffect, useRef, useState } from 'preact/hooks'
import { useLocale, useProject } from '../../contexts/index.js'
import { useCanvas } from '../../hooks/index.js'
import { densityFunction } from '../../previews/index.js'
import { densityFunction, densityPoint } from '../../previews/index.js'
import { randomSeed } from '../../Utils.js'
import { Btn, BtnMenu } from '../index.js'
import type { PreviewProps } from './index.js'
@@ -10,19 +10,21 @@ export const DensityFunctionPreview = ({ data, shown, version }: PreviewProps) =
const { locale } = useLocale()
const { project } = useProject()
const [seed, setSeed] = useState(randomSeed())
const [minY] = useState(0)
const [height] = useState(256)
const [autoScroll, setAutoScroll] = useState(false)
const [focused, setFocused] = useState<string | undefined>(undefined)
const [focused, setFocused] = useState<string[]>([])
const offset = useRef(0)
const scrollInterval = useRef<number | undefined>(undefined)
const state = JSON.stringify([data])
const size = data?.noise?.height ?? 256
const size = 256
const { canvas, redraw } = useCanvas({
size() {
return [size, size]
},
async draw(img) {
const options = { offset: offset.current, width: img.width, seed, version, project }
const options = { offset: offset.current, width: img.width, seed, version, project, minY, height }
await densityFunction(data, img, options)
},
async onDrag(dx) {
@@ -30,14 +32,16 @@ export const DensityFunctionPreview = ({ data, shown, version }: PreviewProps) =
redraw()
},
async onHover(x, y) {
const worldX = Math.floor(x * size - offset.current)
const worldY = size - Math.max(1, Math.ceil(y * size)) + (data?.noise?.min_y ?? 0)
setFocused(`X=${worldX} Y=${worldY}`)
const worldX = Math.floor(x * size)
const worldY = Math.floor(y * (height - minY))
const options = { offset: offset.current, width: size, seed, version, project, minY, height }
const density = await densityPoint(data, worldX, worldY, options)
setFocused([density.toPrecision(3), `X=${Math.floor(worldX - offset.current)} Y=${(height - minY) - worldY}`])
},
onLeave() {
setFocused(undefined)
setFocused([])
},
}, [version, state, seed, project])
}, [version, state, seed, minY, height, project])
useEffect(() => {
if (scrollInterval.current) {
@@ -52,11 +56,11 @@ export const DensityFunctionPreview = ({ data, shown, version }: PreviewProps) =
}, 100) as any
}
}
}, [version, state, seed, project, shown, autoScroll])
}, [version, state, seed, minY, height, project, shown, autoScroll])
return <>
<div class="controls preview-controls">
{focused && <Btn label={focused} class="no-pointer" />}
{focused.map(s => <Btn label={s} class="no-pointer" /> )}
<BtnMenu icon="gear" tooltip={locale('terrain_settings')}>
<Btn icon={autoScroll ? 'square_fill' : 'square'} label={locale('preview.auto_scroll')} onClick={() => setAutoScroll(!autoScroll)} />
</BtnMenu>

View File

@@ -1,7 +1,7 @@
import { useEffect, useRef, useState } from 'preact/hooks'
import { useLocale } from '../../contexts/index.js'
import { useCanvas } from '../../hooks/index.js'
import { normalNoise } from '../../previews/index.js'
import { normalNoise, normalNoisePoint } from '../../previews/index.js'
import { randomSeed } from '../../Utils.js'
import { Btn } from '../index.js'
import type { PreviewProps } from './index.js'
@@ -10,6 +10,7 @@ export const NoisePreview = ({ data, shown, version }: PreviewProps) => {
const { locale } = useLocale()
const [seed, setSeed] = useState(randomSeed())
const [scale, setScale] = useState(2)
const [focused, setFocused] = useState<string[]>([])
const offset = useRef<[number, number]>([0, 0])
const state = JSON.stringify([data])
@@ -26,6 +27,21 @@ export const NoisePreview = ({ data, shown, version }: PreviewProps) => {
offset.current[1] = offset.current[1] + dy * 256
redraw()
},
onHover(x, y) {
const x2 = Math.floor(x * 256)
const y2 = Math.floor(y * 256)
const options = { offset: offset.current, scale, seed, version }
const value = normalNoisePoint(data, x2, y2, options)
const ox = -options.offset[0] - 100
const oy = -options.offset[1] - 100
const xx = (x2 + ox) * options.scale
const yy = (y2 + oy) * options.scale
setFocused([value.toPrecision(3), `X=${Math.floor(xx)} Y=${Math.floor(yy)}`])
},
onLeave() {
setFocused([])
},
}, [version, state, scale, seed])
useEffect(() => {
@@ -42,6 +58,7 @@ export const NoisePreview = ({ data, shown, version }: PreviewProps) => {
return <>
<div class="controls preview-controls">
{focused.map(s => <Btn label={s} class="no-pointer" /> )}
<Btn icon="dash" tooltip={locale('zoom_out')}
onClick={() => changeScale(scale * 1.5)} />
<Btn icon="plus" tooltip={locale('zoom_in')}

View File

@@ -299,12 +299,12 @@ export class Deepslate {
}
}
public loadDensityFunction(state: unknown, seed: bigint) {
public loadDensityFunction(state: unknown, minY: number, height: number, seed: bigint) {
if (this.isVersion('1.19')) {
const settings = this.d.NoiseGeneratorSettings.create({
noise: {
minY: -64,
height: 384,
minY: minY,
height: height,
xzSize: 1,
ySize: 2,
},
@@ -318,8 +318,8 @@ export class Deepslate {
} else {
const random = this.d.XoroshiroRandom.create(seed).forkPositional()
const settings = this.d.NoiseSettings.fromJson({
min_y: -64,
height: 384,
min_y: minY,
height: height,
size_horizontal: 1,
size_vertical: 2,
sampling: { xz_scale: 1, y_scale: 1, xz_factor: 80, y_factor: 160 },

View File

@@ -15,6 +15,8 @@ export type NoiseSettingsOptions = {
seed: bigint,
version: VersionId,
project: Project,
minY?: number,
height?: number,
}
const colors: Record<string, [number, number, number]> = {
@@ -82,22 +84,22 @@ export function getNoiseBlock(x: number, y: number) {
export async function densityFunction(state: any, img: ImageData, options: NoiseSettingsOptions) {
await DEEPSLATE.loadVersion(options.version, getProjectData(options.project))
const fn = DEEPSLATE.loadDensityFunction(DataModel.unwrapLists(state), options.seed)
const fn = DEEPSLATE.loadDensityFunction(DataModel.unwrapLists(state), options.minY ?? 0, options.height ?? 256, options.seed)
const noise = DEEPSLATE.getNoiseSettings()
const arr = Array(options.width * noise.height)
let min = Infinity
let max = -Infinity
let limit = 0
for (let x = 0; x < options.width; x += 1) {
for (let y = 0; y < noise.height; y += 1) {
const i = x + (noise.height-y-1) * options.width
const density = fn.compute(DensityFunction.context(x - options.offset, y, 0))
min = Math.min(min, density)
max = Math.max(max, density)
for (let y = 0; y < noise.height - noise.minY; y += 1) {
const i = x + y * options.width
const density = fn.compute(DensityFunction.context(x - options.offset, noise.height - y - 1, 0))
limit = Math.max(limit, Math.abs(density))
arr[i] = density
}
}
const min = -limit
const max = limit
const data = img.data
for (let i = 0; i < options.width * noise.height; i += 1) {
const color = Math.floor(clampedMap(arr[i], min, max, 0, 256))
@@ -108,6 +110,13 @@ export async function densityFunction(state: any, img: ImageData, options: Noise
}
}
export async function densityPoint(state: any, x: number, y: number, options: NoiseSettingsOptions) {
await DEEPSLATE.loadVersion(options.version, getProjectData(options.project))
const fn = DEEPSLATE.loadDensityFunction(DataModel.unwrapLists(state), options.minY ?? 0, options.height ?? 256, options.seed)
return fn.compute(DensityFunction.context(Math.floor(x - options.offset), (options.height ?? 256) - y, 0))
}
export function getProjectData(project: Project) {
return Object.fromEntries(['worldgen/noise_settings', 'worldgen/noise', 'worldgen/density_function'].map(type => {
const resources = Object.fromEntries(

View File

@@ -15,13 +15,13 @@ export function normalNoise(state: any, img: ImageData, options: NoiseOptions) {
const noise = new NormalNoise(random, params)
const ox = -options.offset[0] - 100
const oz = -options.offset[1] - 100
const oy = -options.offset[1] - 100
const data = img.data
for (let x = 0; x < 256; x += 1) {
for (let y = 0; y < 256; y += 1) {
const i = x * 4 + y * 4 * 256
const xx = (x + ox) * options.scale
const yy = (y + oz) * options.scale
const yy = (y + oy) * options.scale
const color = (noise.sample(xx, yy, 0) + 1) * 128
data[i] = color
data[i + 1] = color
@@ -30,3 +30,15 @@ export function normalNoise(state: any, img: ImageData, options: NoiseOptions) {
}
}
}
export function normalNoisePoint(state: any, x: number, y: number, options: NoiseOptions) {
const random = XoroshiroRandom.create(options.seed)
const params = NoiseParameters.fromJson(DataModel.unwrapLists(state))
const noise = new NormalNoise(random, params)
const ox = -options.offset[0] - 100
const oy = -options.offset[1] - 100
const xx = (x + ox) * options.scale
const yy = (y + oy) * options.scale
return noise.sample(xx, yy, 0)
}

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@@ -139,6 +139,8 @@
"preview.weather.rain": "Rain",
"preview.weather.thunder": "Thunder",
"preview.width": "Width",
"preview.height": "Height",
"preview.min_y": "Min Y",
"project.new": "New project",
"project.cancel": "Cancel",
"project.create": "Create a new project",