catan-board-generator
Version:
A React component for generating Catan board layouts.
229 lines (221 loc) • 6.11 MB
JavaScript
import React, { useState, useEffect } from 'react';
// Mapping of each tile to its neighbors based on their indices
var neighbors = {
// Each key is a tile index, and its value is an array of indices of neighboring tiles
0: [1, 10, 11],
1: [0, 2, 11, 12],
2: [1, 12, 13],
10: [0, 11, 20, 21],
11: [0, 1, 10, 12, 21, 22],
12: [1, 2, 11, 13, 22, 23],
13: [2, 12, 23, 24],
20: [10, 21, 30],
21: [10, 11, 20, 22, 30, 31],
22: [11, 12, 21, 23, 31, 32],
23: [12, 13, 22, 24, 32, 33],
24: [13, 23, 33],
30: [20, 21, 31, 40],
31: [21, 22, 30, 32, 40, 41],
32: [22, 23, 31, 33, 41, 42],
33: [23, 24, 32, 42],
40: [30, 31, 41],
41: [31, 32, 40, 42],
42: [32, 33, 41],
};
var expandedNeighbors = {
0: [1, 10, 11],
1: [0, 2, 11, 12],
2: [1, 12, 13],
10: [0, 11, 20, 21],
11: [0, 1, 10, 12, 21, 22],
12: [1, 2, 11, 13, 22, 23],
13: [2, 12, 23, 24],
20: [10, 21, 30, 31],
21: [10, 11, 20, 22, 31, 32],
22: [11, 12, 21, 23, 32, 33],
23: [12, 13, 22, 24, 33, 34],
24: [13, 23, 34, 35],
30: [20, 31, 40],
31: [20, 21, 30, 32, 40, 41],
32: [21, 22, 31, 33, 41, 42],
33: [22, 23, 32, 34, 42, 43],
34: [23, 24, 33, 35, 43, 44],
35: [24, 34, 44],
40: [30, 31, 41, 50],
41: [31, 32, 40, 42, 50, 51],
42: [32, 33, 41, 43, 51, 52],
43: [33, 34, 42, 44, 52, 53],
44: [34, 35, 43, 53],
50: [40, 41, 51, 60],
51: [41, 42, 50, 52, 60, 61],
52: [42, 43, 51, 53, 61, 62],
53: [43, 44, 52, 62],
60: [50, 51, 61],
61: [51, 52, 60, 62],
62: [52, 53, 61]
};
// Function to shuffle an array in place
function shuffleArray(array) {
var _a;
// Loop backwards through the array
for (var i = array.length - 1; i > 0; i--) {
// Pick a random index before the current one
var j = Math.floor(Math.random() * (i + 1));
// Swap elements at indices i and j
_a = [array[j], array[i]], array[i] = _a[0], array[j] = _a[1];
}
}
// Function to determine the next index, with special cases
function incrementCounter(num, expansion) {
// Map of special cases where the next index jumps ahead
var nextIndexMap;
if (expansion) {
nextIndexMap = { 2: 10, 13: 20, 24: 30, 35: 40, 44: 50, 53: 60 };
}
else {
nextIndexMap = { 2: 10, 13: 20, 24: 30, 33: 40 };
}
// Return the mapped value if it exists, otherwise increment by 1
return nextIndexMap[num] !== undefined ? nextIndexMap[num] : num + 1;
}
// Function to fill the board with resources
function fillResources(board, expansion) {
// Array of tiles to be distributed on the board
var tiles = ['Wood', 'Wood', 'Wood', 'Wood', 'Brick', 'Brick', 'Brick', 'Wheat', 'Wheat', 'Wheat', 'Wheat', 'Sheep', 'Sheep', 'Sheep', 'Sheep', 'Ore', 'Ore', 'Ore', 'Desert'];
if (expansion) {
tiles = ['Wood', 'Wood', 'Wood', 'Wood', 'Wood', 'Wood', 'Brick', 'Brick', 'Brick', 'Brick', 'Brick', 'Wheat', 'Wheat', 'Wheat', 'Wheat', 'Wheat', 'Wheat', 'Sheep', 'Sheep', 'Sheep', 'Sheep', 'Sheep', 'Sheep', 'Ore', 'Ore', 'Ore', 'Ore', 'Ore', 'Desert', 'Desert'];
}
// Shuffle the tiles to randomize their distribution
shuffleArray(tiles);
// Iterator for placing tiles on the board
var itr = 0;
// Loop until all tiles are placed
while (tiles.length > 0) {
// Place the tile on the board and set its number to 0 initially
board[Math.floor(itr / 10)][itr % 10] = { resource: tiles.pop() || 'Desert', number: 0 };
// Move to the next index, with special cases handled by incrementCounter
itr = incrementCounter(itr, expansion);
}
}
// Helper function for fillNumbers to check if the board's number distribution follows the game's rules
function checkNeighbors(board, expansion) {
var neighborMap = expansion ? expandedNeighbors : neighbors;
var limit = expansion ? 62 : 42;
var itr = 0;
// Iterator for checking each tile
// Loop through all possible tile positions
while (itr <= limit) {
// Get the current tile
var tile = board[Math.floor(itr / 10)][itr % 10];
// Check all neighbors for rule violations
for (var _i = 0, _a = neighborMap[itr]; _i < _a.length; _i++) {
var neighborNum = _a[_i];
var neighbor = board[Math.floor(neighborNum / 10)][neighborNum % 10];
// Return false if a rule is violated
if (tile.resource === "Desert" && neighbor.resource === "Desert") {
fillResources(board, true);
return checkNeighbors(board, true);
}
if (neighbor.number === tile.number ||
((tile.number === 6 || tile.number === 8) && (neighbor.number === 6 || neighbor.number === 8)) ||
((tile.number === 2 || (tile.number === 12)) && (neighbor.number === 2 || neighbor.number === 12))) {
return false;
}
}
// Move to the next tile
itr = incrementCounter(itr, expansion);
}
// Return true if all tiles pass the checks
return true;
}
// Function to fill the board with numbers, ensuring no rule violations
function fillNumbers(board, expansion) {
// Flag to indicate a valid configuration has been found
var valid = false;
// Loop until a valid configuration is found
while (!valid) {
// Array of numbers to be distributed on the board
var numbers = [2, 3, 3, 4, 4, 5, 5, 6, 6, 8, 8, 9, 9, 10, 10, 11, 11, 12];
if (expansion) {
numbers = [2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6, 8, 8, 8, 9, 9, 9, 10, 10, 10, 11, 11, 11, 12, 12];
}
// Shuffle the numbers to randomize their distribution
shuffleArray(numbers);
// Iterator for placing numbers on the board
var itr = 0;
// Loop until all numbers are placed
while (numbers.length > 0) {
// Calculate row and index within the row for the current number
var row = Math.floor(itr / 10);
var index = itr % 10;
// Skip desert tiles when assigning numbers
if (board[row][index].resource !== "Desert") {
board[row][index].number = numbers.pop() || 0;
}
// Move to the next index
itr = incrementCounter(itr, expansion);
}
// Check if the current configuration is valid
valid = checkNeighbors(board, expansion);
}
}
// Main function to generate a Catan board
function generateCatanBoard() {
// Initialize the board with empty rows of varying lengths
var board = [
new Array(3).fill(null),
new Array(4).fill(null),
new Array(5).fill(null),
new Array(4).fill(null),
new Array(3).fill(null)
];
// Fill the board with resources and then numbers
fillResources(board, false);
fillNumbers(board, false);
// Return the completed board
return board;
}
// Main function to generate a Catan board
function generateExpansionBoard() {
// Initialize the board with empty rows of varying lengths
var board = [
new Array(3).fill(null),
new Array(4).fill(null),
new Array(5).fill(null),
new Array(6).fill(null),
new Array(5).fill(null),
new Array(4).fill(null),
new Array(3).fill(null)
];
// Fill the board with resources and then numbers
fillResources(board, true);
fillNumbers(board, true);
// Return the completed board
return board;
}
function styleInject(css, ref) {
if ( ref === void 0 ) ref = {};
var insertAt = ref.insertAt;
if (!css || typeof document === 'undefined') { return; }
var head = document.head || document.getElementsByTagName('head')[0];
var style = document.createElement('style');
style.type = 'text/css';
if (insertAt === 'top') {
if (head.firstChild) {
head.insertBefore(style, head.firstChild);
} else {
head.appendChild(style);
}
} else {
head.appendChild(style);
}
if (style.styleSheet) {
style.styleSheet.cssText = css;
} else {
style.appendChild(document.createTextNode(css));
}
}
var css_248z$3 = ".Number-module_numberContainer__qQyan{height:35%;left:50%;position:absolute;top:50%;transform:translate(-50%,-50%);width:40%}.Number-module_numberImage__rQjXI{height:100%;width:100%}";
var styles$3 = {"numberContainer":"Number-module_numberContainer__qQyan","numberImage":"Number-module_numberImage__rQjXI"};
styleInject(css_248z$3);
var num2 = 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