kublermdk

<?php

// --------------------------------------------------
//   Example Google Cloud AutoML Prediction
// --------------------------------------------------
// @author Michael Kubler
// @date 2020-10-07th
// This is a cut down gist of what you need to
// make a Google Cloud AutoML (Auto Machine Learning)
// prediction request, based off an already uploaded

ribtoks

kublermdk

// -----------------------------------------------------------------
//   Applying aggregation pipeline #1 Customer - HAVE
// -----------------------------------------------------------------
db.command({
    "aggregate": "app.customer",
    "pipeline": [{
        "$match": {
            "$and": [{
                // -- Ensure the customers we are selecting are active and have a Firebase token so we can send them a push notification
                "status": "active",

kublermdk

{
  "customer": {
    "_id": "5eb3d000af2f5c073c089cd2", // ObjectId
    "name": "Michael Kubler",
    "dateOfBirth": 467683200, // Unix time
    "state": "SA",
    "gender": "male",
    "status": "active",
    "createdAt": 1588760101, // Unix time
    "updatedAt": 1588760914 // Unix time

nilayp

#!/bin/bash

# Script to backup git repo to Backblaze B2
# Set bucket, dir, password and account to use for the backup.  I keep mine in local env vars 
# These are set by localrc which lives on an encrypted home directory and is executed by my bashrc
# Ensure you have authorized the B2 command line tool with the correct account AND added your SSH
# public key to your github account, if you need to backup private repositories.

# To restore this repo in the future, download it from B2, extract it and then use this command:
# cd old-repository.git

patrickleet

// Assuming the following directory structure
/*
  app/
    .meteor/
    client/
    server/
    collections/
*/

// 1. Create a collection

dweldon

server {
  listen [::]:80;
  listen 80;

  server_name app.example.com;

  return 301 https://$server_name$request_uri;
}

server {

gabrielhpugliese

Tutorial: Meteor in Windows using Vagrant

BEFORE YOU CONTINUE:

• Now, Meteor runs in any Windows without any line of this tutorial. Just download the Meteor binary! Yay!!
• mrt is no longer used with Meteor 1.0

These days some people were discussing at meteor-talk group about running Meteor at Windows and I’ve recommended them using Vagrant. It’s a very developer-friendly piece of software that creates a virtual machine (VM) which let you run any operating system wanted and connect to it without big efforts of configuration (just make the initial installation and you have it working).

Many packages (I've tested) for running Meteor+Vagrant fails because Meteor writes its mongodb file and also other files inside local build folder into a shared folder between the Windows host and the Linux guest, and it simply does not work. So I've put my brain to work and found a solution: do symlinks inside the VM (but do not use ln. Use mount so git can follow it). It’s covered on

webdesserts

// NOTE: I previously suggested doing this through Grunt, but had plenty of problems with
// my set up. Grunt did some weird things with scope, and I ended up using nodemon. This
// setup is now using Gulp. It works exactly how I expect it to and is WAY more concise.
var gulp = require('gulp'),
    spawn = require('child_process').spawn,
    node;

/**
 * $ gulp server
 * description: launch the server. If there's a server already running, kill it.

matb33

MOVED: https://github.com/matb33/meteor-ec2-install