wallabyway

## lambda_function.py
# https://gist.github.com/wallabyway/3efdaf7ab52368cd019678b027055bd1
import jwt
import time
import requests
import os

def generate_jwt_assertion(kid, private_key, APS_clientID, SSA_oxygenID, scope):
    current_time = int(time.time())
    claims = {
        "iss": APS_clientID,

## simplesearch.js
import googleIt from 'google-it';
import axios from 'axios';
import cheerio from 'cheerio';
import OpenAI from 'openai';
import readlineSync from 'readline-sync';

const openai = new OpenAI({
    baseURL: "http://localhost:1234/v1",
    apiKey: 'My API Key'
});

## handler.js
/* jshint esversion: 8 */
'use strict'
const axios = require('axios');

/**
 * Handler function that will process the data and return a result.
 *
 * @param {Object} data - Data to be processed.
 * @param {Objcct} logger - Can be used for any logging purposes.
 * @param {Function} logger.log - Use to log anything i.e. logger.log(Object | String)

## package.json
{
  "name": "visual",
  "description": "default_template_value",
  "repository": {
    "type": "default_template_value",
    "url": "default_template_value"
  },
  "license": "MIT",
  "scripts": {
    "pbiviz": "pbiviz",

## index.html
<head>
	<title>Viewer Loading Multi-Model with GLB</title>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<link rel="icon" href="data:,">
	<style>
		#panel {
			position: fixed; z-index: 2; margin: 10px;
			font-family:arial;  font-size:1.5em; }
	</style>

## convert-glb.mjs
// PURPOSE: convert draco-pnts to glb (ie. 3dTiles v1.0 to v1.1)
// INSTALL: npm install draco3d gltfpack
// RUN:
//    > node infolderPNTS outfolderGLB

import fs from 'fs';
import draco3d from 'draco3d';
import gltfpack  from 'gltfpack';

const inFolder = process.argv.slice(2)[0] || 'infolder';

## pull-tiles-offline.mjs
// PURPOSE: download 3d-tiles files from BIM360, to local drive
// INSTALL: npm install node-fetch
// RUN: add your BIM360 access-token and the base url, then type
// > node pull-tiles-offline.mjs myOutputFolder

import fetch from 'node-fetch';
import fs from 'fs';
import util from 'util';
import stream from 'stream';

## index.html
<header>
	<style>
		body { font-family: arial; margin: 0; }
		.nav {
			color: white; background-color: rgba(100, 100, 100, 0.5);
			text-align: center; width: 100%; top: 0px;
			position: fixed; z-index: 1; margin: 0px;
		}
	</style>
</header>

## clone-three-mesh.html


<!DOCTYPE html>
<html lang="en">

<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <meta http-equiv="X-UA-Compatible" content="ie=edge">
    <link rel="icon" href="data:,">

## unlit-texture.js
function getFlatTexture_FlatMaterial(textureUrl) {
    const shader = {
        side: THREE.DoubleSide,
        depthWrite: false,
        depthTest: true,
        uniforms: {
            map: { value: THREE.ImageUtils.loadTexture(textureUrl),  type: 't' }
        },
        fragmentShader: `
            varying vec2 vUv;
	# https://gist.github.com/wallabyway/3efdaf7ab52368cd019678b027055bd1
	import jwt
	import time
	import requests
	import os

	def generate_jwt_assertion(kid, private_key, APS_clientID, SSA_oxygenID, scope):
	current_time = int(time.time())
	claims = {
	"iss": APS_clientID,
	import googleIt from 'google-it';
	import axios from 'axios';
	import cheerio from 'cheerio';
	import OpenAI from 'openai';
	import readlineSync from 'readline-sync';

	const openai = new OpenAI({
	baseURL: "http://localhost:1234/v1",
	apiKey: 'My API Key'
	});
	/* jshint esversion: 8 */
	'use strict'
	const axios = require('axios');

	/**
	* Handler function that will process the data and return a result.
	*
	* @param {Object} data - Data to be processed.
	* @param {Objcct} logger - Can be used for any logging purposes.
	* @param {Function} logger.log - Use to log anything i.e. logger.log(Object \| String)
	{
	"name": "visual",
	"description": "default_template_value",
	"repository": {
	"type": "default_template_value",
	"url": "default_template_value"
	},
	"license": "MIT",
	"scripts": {
	"pbiviz": "pbiviz",
	<head>
	<title>Viewer Loading Multi-Model with GLB</title>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<link rel="icon" href="data:,">
	<style>
	#panel {
	position: fixed; z-index: 2; margin: 10px;
	font-family:arial; font-size:1.5em; }
	</style>
	// PURPOSE: convert draco-pnts to glb (ie. 3dTiles v1.0 to v1.1)
	// INSTALL: npm install draco3d gltfpack
	// RUN:
	// > node infolderPNTS outfolderGLB

	import fs from 'fs';
	import draco3d from 'draco3d';
	import gltfpack from 'gltfpack';

	const inFolder = process.argv.slice(2)[0] \|\| 'infolder';
	// PURPOSE: download 3d-tiles files from BIM360, to local drive
	// INSTALL: npm install node-fetch
	// RUN: add your BIM360 access-token and the base url, then type
	// > node pull-tiles-offline.mjs myOutputFolder

	import fetch from 'node-fetch';
	import fs from 'fs';
	import util from 'util';
	import stream from 'stream';
	<header>
	<style>
	body { font-family: arial; margin: 0; }
	.nav {
	color: white; background-color: rgba(100, 100, 100, 0.5);
	text-align: center; width: 100%; top: 0px;
	position: fixed; z-index: 1; margin: 0px;
	}
	</style>
	</header>


	<!DOCTYPE html>
	<html lang="en">

	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<meta http-equiv="X-UA-Compatible" content="ie=edge">
	<link rel="icon" href="data:,">
	function getFlatTexture_FlatMaterial(textureUrl) {
	const shader = {
	side: THREE.DoubleSide,
	depthWrite: false,
	depthTest: true,
	uniforms: {
	map: { value: THREE.ImageUtils.loadTexture(textureUrl), type: 't' }
	},
	fragmentShader: `
	varying vec2 vUv;