This comprehensive guide walks you through setting up MindsDB from source using Makefile commands, installing and configuring Elasticsearch, creating datasources, and running extensive test scenarios. Perfect for development, testing, and production environments.
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| import { ethers, providers, Wallet, utils, Transaction } from "ethers"; | |
| import { | |
| FlashbotsBundleProvider, | |
| FlashbotsBundleResolution, | |
| } from "@flashbots/ethers-provider-bundle"; | |
| import { exit } from "process"; | |
| const FLASHBOTS_URL = "https://relay-goerli.flashbots.net"; | |
| const TOKEN_ADDRESS = "0x4E5d67a73bdb6BF68fADa7BDD7F455A7aA02C8ab"; |
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| import { ethers, providers, Wallet, utils, Transaction } from "ethers"; | |
| import { | |
| FlashbotsBundleProvider, | |
| FlashbotsBundleResolution, | |
| } from "@flashbots/ethers-provider-bundle"; | |
| import { exit } from "process"; | |
| const FLASHBOTS_URL = "https://relay-goerli.flashbots.net"; | |
| const TOKEN_ADDRESS = "0x4E5d67a73bdb6BF68fADa7BDD7F455A7aA02C8ab"; |
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| version: '3' | |
| services: | |
| coolify-builder: | |
| image: ghcr.io/coollabsio/coolify-builder | |
| volumes: | |
| - /data/coolify/source:/data/coolify/source | |
| - /var/run/docker.sock:/var/run/docker.sock | |
| environment: | |
| - LATEST_IMAGE=${LATEST_IMAGE:-} | |
| # Add your environment variables here |
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| <main> | |
| <h1>This is a Torus Knot rendered on the browser with the help of WebGL | |
| </h1> | |
| </main> |
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| // import logo from './logo.svg'; | |
| import './App.css'; | |
| import React, { useEffect, useState } from 'react' | |
| // import Routes from './router/Routes' | |
| import { Auth, Hub } from 'aws-amplify' | |
| const initialFormState = { | |
| username: '', | |
| password: '', | |
| email: '', |
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| import importdir | |
| importdir.do("features", globals()) |
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| import telebot | |
| import os | |
| from config import * | |
| from flask import Flask, request | |
| server = Flask(__name__) | |
| @server.route('/'+ TOKEN, methods=['POST']) | |
| def getMessage(): | |
| request_object = request.stream.read().decode("utf-8") |
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