RPG_City_Maker_Reborn/terrain.go

package main

import (
	"container/heap"
	"image"
	"image/color"
	"image/draw"
	"math"
	"math/rand"
	"sort"

	"github.com/disintegration/imaging"
	"github.com/ojrac/opensimplex-go"
)

// lakePixel represents a potential pixel to be added to a lake during growth
type lakePixel struct {
	point image.Point
	score float64
	index int // required for heap.Interface
}

type priorityQueue []*lakePixel

func (pq priorityQueue) Len() int           { return len(pq) }
func (pq priorityQueue) Less(i, j int) bool { return pq[i].score > pq[j].score } // Max-heap
func (pq priorityQueue) Swap(i, j int) {
	pq[i], pq[j] = pq[j], pq[i]
	pq[i].index = i
	pq[j].index = j
}
func (pq *priorityQueue) Push(x interface{}) {
	n := len(*pq)
	item := x.(*lakePixel)
	item.index = n
	*pq = append(*pq, item)
}
func (pq *priorityQueue) Pop() interface{} {
	old := *pq
	n := len(old)
	item := old[n-1]
	old[n-1] = nil
	item.index = -1
	*pq = old[0 : n-1]
	return item
}

func GenerateLakes(width, height, numLakes int, lakeSizeLower, lakeSizeUpper float64, heightmap image.Image, seed int64) (image.Image, [][]image.Point) {
	canvas := image.NewRGBA(image.Rect(0, 0, width, height))
	draw.Draw(canvas, canvas.Bounds(), image.NewUniform(color.White), image.Point{}, draw.Src)

	if numLakes <= 0 || lakeSizeLower <= 0 {
		return canvas, nil
	}

	var allLakes [][]image.Point
	randSrc := rand.New(rand.NewSource(seed))

	// 1. Divide the image into a grid
	gridDim := int(math.Ceil(math.Sqrt(float64(numLakes))))
	if gridDim == 0 {
		return canvas, nil
	}
	chunkWidth := width / gridDim
	chunkHeight := height / gridDim
	if chunkWidth == 0 || chunkHeight == 0 {
		return canvas, nil
	}

	// 2. Create a list of chunk indices and shuffle them to randomize lake placement
	chunkIndices := make([]int, gridDim*gridDim)
	for i := range chunkIndices {
		chunkIndices[i] = i
	}
	randSrc.Shuffle(len(chunkIndices), func(i, j int) {
		chunkIndices[i], chunkIndices[j] = chunkIndices[j], chunkIndices[i]
	})

	totalArea := float64(width * height)
	noiseGen := opensimplex.New(seed)

	// 3. Generate a lake in a subset of the chunks
	for i := 0; i < numLakes; i++ {
		if i >= len(chunkIndices) {
			break
		}

		var currentLake []image.Point

		// Each lake gets a random size within the defined range
		lakeSize := lakeSizeLower
		if lakeSizeUpper > lakeSizeLower {
			lakeSize = lakeSizeLower + randSrc.Float64()*(lakeSizeUpper-lakeSizeLower)
		}
		targetPixelsPerLake := int(math.Round(totalArea*(lakeSize/100.0))) / 2
		if targetPixelsPerLake <= 0 {
			targetPixelsPerLake = 1
		}

		chunkIndex := chunkIndices[i]
		chunkGridX := chunkIndex % gridDim
		chunkGridY := chunkIndex / gridDim

		chunkRect := image.Rect(
			chunkGridX*chunkWidth,
			chunkGridY*chunkHeight,
			(chunkGridX+1)*chunkWidth,
			(chunkGridY+1)*chunkHeight,
		)

		// Use the growth algorithm within the chunk
		pq := &priorityQueue{}
		heap.Init(pq)
		visited := make(map[image.Point]bool)

		// Start near the center of the chunk
		startPt := image.Point{
			X: chunkRect.Min.X + chunkWidth/2,
			Y: chunkRect.Min.Y + chunkHeight/2,
		}
		// just in case the center is out of bounds
		if !startPt.In(chunkRect) {
			continue
		}

		seedX := randSrc.Float64() * 10000.0
		seedY := randSrc.Float64() * 10000.0
		radius := math.Sqrt(float64(targetPixelsPerLake) / math.Pi)
		noiseFreq := 0.01 + (0.2 / (radius + 1.0))

		getScore := func(pt image.Point) float64 {
			dx, dy := pt.X-startPt.X, pt.Y-startPt.Y
			dist := math.Sqrt(float64(dx*dx + dy*dy))
			noise := noiseGen.Eval2(seedX+float64(dx)*noiseFreq, seedY+float64(dy)*noiseFreq)
			distPenalty := math.Pow(dist/radius, 3.0)
			luma, _, _, _ := heightmap.At(pt.X, pt.Y).RGBA()
			heightmapVal := float64(luma) / 65535.0
			heightmapEffect := (0.5 - heightmapVal) * 1.5
			return noise - distPenalty + heightmapEffect
		}

		heap.Push(pq, &lakePixel{point: startPt, score: getScore(startPt)})
		visited[startPt] = true

		lakeCount := 0
		for pq.Len() > 0 && lakeCount < targetPixelsPerLake {
			current := heap.Pop(pq).(*lakePixel)

			// The pixel is valid, claim it.
			canvas.Set(current.point.X, current.point.Y, color.RGBA{R: 0, G: 0, B: 255, A: 255})
			currentLake = append(currentLake, current.point)
			lakeCount++

			// Add neighbors, constrained to the chunk rectangle
			for dy := -1; dy <= 1; dy++ {
				for dx := -1; dx <= 1; dx++ {
					if dx == 0 && dy == 0 {
						continue
					}
					neighbor := image.Point{X: current.point.X + dx, Y: current.point.Y + dy}

					if !neighbor.In(chunkRect) || visited[neighbor] {
						continue
					}

					visited[neighbor] = true
					heap.Push(pq, &lakePixel{
						point: neighbor,
						score: getScore(neighbor),
					})
				}
			}
		}
		if len(currentLake) > 0 {
			allLakes = append(allLakes, currentLake)
		}
	}

	return canvas, allLakes
}

type River struct {
	Width      float64
	Start, End image.Point
	Points     []image.Point
}

func GenerateRivers(width, height, numRivers int, minWidth, maxWidth, curvyness float64, inputImage image.Image, lakes [][]image.Point, seed int64, heightmap image.Image) (image.Image, []image.Point) {
	if numRivers == 0 {
		return inputImage, nil
	}

	canvas, ok := inputImage.(*image.RGBA)
	if !ok {
		canvas = image.NewRGBA(inputImage.Bounds())
		draw.Draw(canvas, canvas.Bounds(), inputImage, image.Point{}, draw.Src)
	}

	var allRiverPixels []image.Point
	randSrc := rand.New(rand.NewSource(seed))
	avgDim := float64(width+height) / 2.0

	isWater := make(map[image.Point]bool)
	lakePixelMap := make(map[image.Point]int)
	for i, lake := range lakes {
		for _, p := range lake {
			isWater[p] = true
			lakePixelMap[p] = i
		}
	}

	rivers := make([]River, numRivers)
	for i := 0; i < numRivers; i++ {
		widthPercent := float64(i) / float64(numRivers-1)
		if numRivers == 1 {
			widthPercent = 0.5
		}
		rivers[i].Width = maxWidth - widthPercent*(maxWidth-minWidth)
	}

	sort.Slice(rivers, func(i, j int) bool {
		return rivers[i].Width > rivers[j].Width
	})

	numControlPoints := int(avgDim * 0.03)
	if numControlPoints < 60 {
		numControlPoints = 60
	}

	for i := range rivers {
		r := &rivers[i]

		startEdge := randSrc.Intn(4)
		endEdge := (startEdge + randSrc.Intn(3) + 1) % 4

		r.Start = getPointOnEdge(width, height, startEdge, randSrc)
		r.End = getPointOnEdge(width, height, endEdge, randSrc)

		path := calculatePath(r.Start, r.End, curvyness/100.0, avgDim, randSrc, numControlPoints)

		for _, p := range path {
			if isWater[p] {
				if lakeIndex, isLake := lakePixelMap[p]; isLake {
					// Intersection is with a lake, find its center
					lakeCenter := findCenter(lakes[lakeIndex])
					r.End = lakeCenter
				} else {
					// Intersection is with another river
					r.End = p
				}
				path = calculatePath(r.Start, r.End, curvyness/100.0, avgDim, randSrc, numControlPoints)
				break
			}
		}

		riverWidthPx := (r.Width / 100.0) * avgDim
		radius := riverWidthPx / 2.0

		for _, p := range path {
			// When drawing river pixels, add them to isWater to detect river-river intersections
			drawCircle(canvas, p, radius, color.RGBA{R: 0, G: 0, B: 255, A: 255}, &allRiverPixels, isWater, heightmap)
		}
		r.Points = path
	}

	return canvas, allRiverPixels
}

func findCenter(pixels []image.Point) image.Point {
	if len(pixels) == 0 {
		return image.Point{}
	}
	var sumX, sumY int
	for _, p := range pixels {
		sumX += p.X
		sumY += p.Y
	}
	return image.Point{
		X: sumX / len(pixels),
		Y: sumY / len(pixels),
	}
}

func getPointOnEdge(width, height, edge int, randSrc *rand.Rand) image.Point {
	switch edge {
	case 0: // Top
		return image.Point{X: randSrc.Intn(width), Y: 0}
	case 1: // Right
		return image.Point{X: width - 1, Y: randSrc.Intn(height)}
	case 2: // Bottom
		return image.Point{X: randSrc.Intn(width), Y: height - 1}
	default: // Left
		return image.Point{X: 0, Y: randSrc.Intn(height)}
	}
}

func calculatePath(start, end image.Point, curvyness, avgDim float64, randSrc *rand.Rand, numControlPoints int) []image.Point {

	dx := end.X - start.X

	dy := end.Y - start.Y

	dist := math.Sqrt(float64(dx*dx + dy*dy))

	if dist == 0 {

		return []image.Point{start}

	}

	if curvyness == 0 {

		return bresenham([]image.Point{start, end})

	}

	type wave struct {
		amplitude float64

		numWaves float64

		phase float64
	}

	waves := make([]wave, 3)

	amp := (avgDim / 10.0) * curvyness

	mainWavelength := avgDim / 4.0

	if mainWavelength < 1 {

		mainWavelength = 1

	}

	baseNumWaves := (dist / mainWavelength) * curvyness

	for i := 0; i < 3; i++ {

		freqMultiplier := 1.0 + float64(i)

		randomizedNumWaves := baseNumWaves * freqMultiplier * (0.75 + randSrc.Float64()*0.5)

		waves[i] = wave{

			amplitude: amp,

			numWaves: randomizedNumWaves,

			phase: randSrc.Float64() * 2 * math.Pi,
		}

		amp /= 3

	}

	controlPoints := make([]image.Point, numControlPoints+1)

	for i := 0; i <= numControlPoints; i++ {

		t := float64(i) / float64(numControlPoints)

		x := float64(start.X) + t*float64(dx)

		y := float64(start.Y) + t*float64(dy)

		perpX, perpY := -float64(dy)/dist, float64(dx)/dist

		totalOffset := 0.0

		for _, w := range waves {

			totalOffset += math.Sin(t*w.numWaves*2*math.Pi+w.phase) * w.amplitude

		}

		// Apply an envelope to ensure start/end points are anchored

		totalOffset *= math.Sin(t * math.Pi)

		x += totalOffset * perpX

		y += totalOffset * perpY

		controlPoints[i] = image.Point{X: int(math.Round(x)), Y: int(math.Round(y))}

	}

	return bresenham(controlPoints)

}

func bresenham(path []image.Point) []image.Point {
	if len(path) < 2 {
		return path
	}

	var fullPath []image.Point
	for i := 0; i < len(path)-1; i++ {
		p1, p2 := path[i], path[i+1]
		dx, dy := p2.X-p1.X, p2.Y-p1.Y
		absDx, absDy := int(math.Abs(float64(dx))), int(math.Abs(float64(dy)))
		sx, sy := 1, 1
		if dx < 0 {
			sx = -1
		}
		if dy < 0 {
			sy = -1
		}
		err := absDx - absDy

		x, y := p1.X, p1.Y
		for {
			fullPath = append(fullPath, image.Point{X: x, Y: y})
			if x == p2.X && y == p2.Y {
				break
			}
			e2 := 2 * err
			if e2 > -absDy {
				err -= absDy
				x += sx
			}
			if e2 < absDx {
				err += absDx
				y += sy
			}
		}
	}
	return fullPath
}

func drawCircle(img *image.RGBA, center image.Point, radius float64, c color.Color, pixels *[]image.Point, isWater map[image.Point]bool, heightmap image.Image) {
	bounds := img.Bounds()
	r2 := radius * radius
	innerRadius := radius * 0.875 // The inner 75% of the river is smooth
	innerR2 := innerRadius * innerRadius

	for y := int(math.Floor(float64(center.Y) - radius)); y <= int(math.Ceil(float64(center.Y)+radius)); y++ {
		for x := int(math.Floor(float64(center.X) - radius)); x <= int(math.Ceil(float64(center.X)+radius)); x++ {
			p := image.Point{X: x, Y: y}
			if !p.In(bounds) {
				continue
			}

			dx, dy := float64(x-center.X), float64(y-center.Y)
			dist2 := dx*dx + dy*dy

			if dist2 <= r2 {
				if !isWater[p] {
					// Roughen the outer 15% of the river
					if dist2 > innerR2 {
						luma, _, _, _ := heightmap.At(x, y).RGBA()
						// Normalize luma to 0-1 range
						heightmapVal := float64(luma) / 65535.0
						// Roughen the edges based on the heightmap
						if heightmapVal < 0.5 {
							continue
						}
					}

					img.Set(x, y, c)
					*pixels = append(*pixels, p)
					isWater[p] = true
				}
			}
		}
	}
}

// DarkenLakeAreas applies a visual darkening effect to the heightmap where lakes exist.
func DarkenLakeAreas(heightmap image.Image, lakePixels []image.Point) image.Image {
	bounds := heightmap.Bounds()
	width := bounds.Dx()

	// Create a new black image to draw the lakes on
	lakeMask := image.NewRGBA(bounds)
	black := color.RGBA{0, 0, 0, 255}
	for _, p := range lakePixels {
		lakeMask.Set(p.X, p.Y, black)
	}

	// Apply a Gaussian blur to the lake mask
	blurRadius := float64(width) * 0.05
	blurredLakeMask := imaging.Blur(lakeMask, blurRadius)

	// Composite the blurred lake mask onto the heightmap with 50% opacity
	composite := image.NewRGBA(bounds)
	draw.Draw(composite, bounds, heightmap, image.Point{}, draw.Src)
	draw.DrawMask(composite, bounds, blurredLakeMask, image.Point{}, image.NewUniform(color.Alpha{192}), image.Point{}, draw.Over)

	return composite
}

func GenerateTrees(img *image.RGBA, lakePixels []image.Point, minTreeSize, maxTreeSize, treeCoverage, treeClumpiness float64, seed int64) {
	width := img.Bounds().Dx()
	height := img.Bounds().Dy()

	// 1. Calculate number of trees to place from coverage %.
	avgTreeSize := (minTreeSize + maxTreeSize) / 2
	if avgTreeSize <= 0 {
		return
	}
	avgRadius := avgTreeSize / 2
	avgTreeArea := math.Pi * avgRadius * avgRadius
	if avgTreeArea == 0 {
		return
	}
	totalArea := float64(width * height)
	targetTreePixels := totalArea * (treeCoverage / 100.0)
	numTreesToPlace := int(targetTreePixels / avgTreeArea)
	if numTreesToPlace == 0 {
		return
	}

	// 2. Generate a simplex noise map for tree placement.
	noise := opensimplex.New(seed)
	treeNoiseMap := image.NewGray(image.Rect(0, 0, width, height))
	treeNoiseZoom := 0.05
	for y := 0; y < height; y++ {
		for x := 0; x < width; x++ {
			val := noise.Eval2(float64(x)*treeNoiseZoom, float64(y)*treeNoiseZoom)
			val = (val + 1) / 2 // Normalize to 0-1
			treeNoiseMap.SetGray(x, y, color.Gray{Y: uint8(val * 255)})
		}
	}
	threshold := uint8(255 * (1 - (treeCoverage / 100.0)))

	isLake := make(map[image.Point]bool)
	for _, p := range lakePixels {
		isLake[p] = true
	}

	randSrc := rand.New(rand.NewSource(seed))

	// 3. Determine initial clump trees
	numClumpTrees := int(treeClumpiness)
	if numClumpTrees > numTreesToPlace {
		numClumpTrees = numTreesToPlace
	}

	initialPoints := make([]image.Point, 0, numClumpTrees)
	for i := 0; i < numClumpTrees; i++ {
		for j := 0; j < 100; j++ { // try 100 times to find a valid spot
			p := image.Point{X: randSrc.Intn(width), Y: randSrc.Intn(height)}
			if treeNoiseMap.GrayAt(p.X, p.Y).Y >= threshold && !isLake[p] {
				initialPoints = append(initialPoints, p)
				break
			}
		}
	}

	// 4. Place remaining trees using Bridson's Algorithm
	minRadius := minTreeSize
	allPoints := poissonDiscSampling(width, height, minRadius, 30, initialPoints, func(p image.Point) bool {
		return treeNoiseMap.GrayAt(p.X, p.Y).Y >= threshold && !isLake[p]
	}, seed)

	// 5. Draw the trees.
	for _, p := range allPoints {
		size := minTreeSize + randSrc.Float64()*(maxTreeSize-minTreeSize)
		if size <= 0 {
			continue
		}
		r := size / 2
		// Use a simple pixel-by-pixel circle drawing method
		for y := p.Y - int(r); y <= p.Y+int(r); y++ {
			for x := p.X - int(r); x <= p.X+int(r); x++ {
				pt := image.Point{X: x, Y: y}
				if !pt.In(img.Bounds()) || isLake[pt] {
					continue
				}

				if (math.Pow(float64(x-p.X), 2) + math.Pow(float64(y-p.Y), 2)) <= r*r {
					// Blend the tree color with the background
					// For simplicity, we just set a solid color for now.
					img.Set(x, y, color.RGBA{R: 0, G: 100, B: 0, A: 255})
				}
			}
		}
	}
}

func poissonDiscSampling(width, height int, minRadius float64, k int, initialPoints []image.Point, isValid func(image.Point) bool, seed int64) []image.Point {
	randSrc := rand.New(rand.NewSource(seed))
	points := initialPoints
	activeList := append([]image.Point(nil), initialPoints...)

	cellSize := minRadius / math.Sqrt(2)
	gridWidth := int(math.Ceil(float64(width)/cellSize)) + 1
	gridHeight := int(math.Ceil(float64(height)/cellSize)) + 1
	grid := make([][]image.Point, gridWidth)
	for i := range grid {
		grid[i] = make([]image.Point, gridHeight)
	}

	for _, p := range points {
		gridX, gridY := int(float64(p.X)/cellSize), int(float64(p.Y)/cellSize)
		grid[gridX][gridY] = p
	}

	for len(activeList) > 0 {
		listIndex := randSrc.Intn(len(activeList))
		p := activeList[listIndex]
		found := false
		for i := 0; i < k; i++ {
			angle := randSrc.Float64() * 2 * math.Pi
			radius := minRadius + randSrc.Float64()*minRadius
			x, y := float64(p.X)+radius*math.Cos(angle), float64(p.Y)+radius*math.Sin(angle)
			newPoint := image.Point{X: int(x), Y: int(y)}

			if newPoint.X < 0 || newPoint.X >= width || newPoint.Y < 0 || newPoint.Y >= height {
				continue
			}

			if !isValid(newPoint) {
				continue
			}

			gridX, gridY := int(x/cellSize), int(y/cellSize)
			valid := true
			for m := -1; m <= 1; m++ {
				for n := -1; n <= 1; n++ {
					checkX, checkY := gridX+m, gridY+n
					if checkX >= 0 && checkX < gridWidth && checkY >= 0 && checkY < gridHeight && grid[checkX][checkY] != (image.Point{}) {
						dist := math.Sqrt(math.Pow(float64(grid[checkX][checkY].X-newPoint.X), 2) + math.Pow(float64(grid[checkX][checkY].Y-newPoint.Y), 2))
						if dist < minRadius {
							valid = false
							break
						}
					}
				}
				if !valid {
					break
				}
			}

			if valid {
				points = append(points, newPoint)
				activeList = append(activeList, newPoint)
				grid[gridX][gridY] = newPoint
				found = true
			}
		}
		if !found {
			activeList = append(activeList[:listIndex], activeList[listIndex+1:]...)
		}
	}
	return points
}