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main.rs
// Prevents additional console window on Windows in release, DO NOT REMOVE!!
#![cfg_attr(not(debug_assertions), windows_subsystem = "windows")]

// Learn more about Tauri commands at https://tauri.app/v1/guides/features/command
#[tauri::command]
fn greet(name: &str) -> String {
    format!("Hello, {}! You've been greeted from Rust!", name)
}

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Human Command	Actual Command	Arguments	Description
Google Search	"google"	args: "input": "<search>"	Searches Google for the specified <search> term.
Browse Website	"browse_website"	args: "url": "<url>", "question": "<what_you_want_to_find_on_website>"	Navigates to the specified <url> and looks for the specified <what_you_want_to_find_on_website>.
Start GPT Agent	"start_agent"	args: "name": "<name>", "task": "<short_task_desc>", "prompt": "<prompt>"	Starts a new GPT (Generative Pre-trained Transformer) agent with the specified <name>, <short_task_desc>, and <prompt>.
Message GPT Agent	"message_agent"	args: "key": "<key>", "message": "<message>"	Sends the specified <message> to the GPT agent with the specified <key>.
List GPT Agents	"list_agents"	args:

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export function drawSquareGridPattern(ctx: CanvasRenderingContext2D, width: number, height: number) {
 // Generate a random set of points
 const numPoints = Math.floor(Math.random() * 20) + 10;
 const points = range(numPoints).map(() => [Math.random() * width, Math.random() * height] as [number, number]);

 // Create a Voronoi diagram from the points
 const voronoiDiagram = voronoi().extent([[0, 0], [width, height]])(points);

 // Find the four outermost edges of the Voronoi diagram
 let topEdge: any, bottomEdge: any, leftEdge: any, rightEdge: any;

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export function drawRandomRoadPattern(ctx: CanvasRenderingContext2D, width: number, height: number) {
  // Generate a random set of points
  const numPoints = Math.floor(Math.random() * 20) + 10;
  const points = range(numPoints).map(() => [Math.random() * width, Math.random() * height] as [number, number]);

  // Create a Voronoi diagram from the points
  const voronoiDiagram = voronoi().extent([[0, 0], [width, height]])(points);

  // Draw the Voronoi diagram
  ctx.strokeStyle = "white";

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const canvas = document.querySelector<HTMLCanvasElement>('#myCanvas')!
const ctx: CanvasRenderingContext2D | null = canvas.getContext("2d");

export function drawBoundingBox() {
  if (!ctx) return;
  const side = Math.min(canvas.width, canvas.height);
  const centerX = canvas.width / 2;
  const centerY = canvas.height / 2;
  const radius = side / 2;

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import './style.css';

const canvas = document.querySelector<HTMLCanvasElement>('#myCanvas')!
const ctx: CanvasRenderingContext2D | null = canvas.getContext("2d");

const pointsWanted = 10;

export function drawBoundingBox() {
  if (!ctx) return;
  const side = Math.min(canvas.width, canvas.height);

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import { Delaunay } from 'd3-delaunay';
import './style.css';

const canvas = document.querySelector<HTMLCanvasElement>('#myCanvas')!
const ctx: CanvasRenderingContext2D | null = canvas.getContext("2d");
const pointsWanted = 5;
let points: ArrayLike<[number, number]> | Iterable<[number, number]> | any = [];

export function drawBoundingBox() {
  if (!ctx) return;

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import { range } from 'd3';
import { voronoi } from 'd3-voronoi';
import './style.css';

const canvas = document.querySelector<HTMLCanvasElement>('#myCanvas')!
const refreshButton = document.querySelector<HTMLButtonElement>('#draw-road-button')!
const ctx: CanvasRenderingContext2D | null = canvas.getContext("2d");
let points: ArrayLike<[number, number]> | any = [];
let octagonPoints: any = [];
let isShowing = false;

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// This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) https://creativecommons.org/licenses/by-nc-sa/4.0/
// © LuxAlgo

//@version = 4
study(title=" Support and Resistance Levels with Breaks",shorttitle = " Support and Resistance Levels with Breaks", overlay = true ,  max_bars_back=1000)
//
toggleBreaks  = input(true, title = "Show Breaks" )
leftBars  = input(15, title = "Left Bars ")
rightBars  = input(15, title = "Right Bars")
volumeThresh  = input(20, title = "Volume Threshold")

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import { AxiosInstance } from 'axios';
import { SubmitTokenResponse } from './types';
declare class TDAmeritrade {
    CONSUMER_KEY: string;
    client: AxiosInstance;
    refreshToken: string | undefined;
    constructor(consumerKey: string);
    submitAuthToken(token: string, offline: boolean, redirectUri: string): Promise<SubmitTokenResponse>;
    getNewAccessToken(): Promise<SubmitTokenResponse>;
    getOauthLink(redirectUri: string): string;