behaviortree/lib/Random.js

A JavaScript implementation of Behavior Trees. They are useful for implementing AIs. For Browsers and NodeJS.

"use strict";
var __importDefault = (this && this.__importDefault) || function (mod) {
    return (mod && mod.__esModule) ? mod : { "default": mod };
};
Object.defineProperty(exports, "__esModule", { value: true });
const constants_1 = require("./constants");
const BranchNode_1 = __importDefault(require("./BranchNode"));
const helper_1 = require("./helper");
class Random extends BranchNode_1.default {
    constructor() {
        super(...arguments);
        this.nodeType = 'Random';
    }
    run(blackboard = {}, { lastRun, introspector, rerun, registryLookUp = (x) => x } = {}) {
        let currentIndex = 0;
        if (rerun) {
            currentIndex = lastRun.state.findIndex((x) => (0, helper_1.isRunning)(x));
        }
        else {
            this.blueprint.start(blackboard);
            currentIndex = Math.floor(Math.random() * this.numNodes);
        }
        const node = registryLookUp(this.nodes[currentIndex]);
        const result = node.run(blackboard, { lastRun, introspector, rerun, registryLookUp });
        const running = (0, helper_1.isRunning)(result);
        if (!running) {
            this.blueprint.end(blackboard);
        }
        if (introspector) {
            const debugResult = running ? constants_1.RUNNING : result;
            introspector.wrapLast(1, this, debugResult, blackboard);
        }
        if (running) {
            const returningResult = { total: constants_1.RUNNING, state: new Array(this.numNodes).fill(undefined) };
            returningResult.state[currentIndex] = result;
            return returningResult;
        }
        return result;
    }
}
exports.default = Random;