danshev

from TwitterAPI import TwitterAPI
api = TwitterAPI("QHCFXKcJeYvFMr8XBTes3eID8", 
                    "Zh3JhEBL8PXnfAEAAOivlB4xrX1PAfDEIdg6DsC78qs6O2Aruk", 
                    "2401578782-7P2QUySnDc8gFHQ1vCwTrckbLLSty8tOFjrizC6", 
                    "WNcilnQcbd0o7xnTYf1XBylsriyBb1KkNlxyTx4u4uB1s"
                    )

# instantiate empty lists that will hold Event data.
#  these would be populated by a periodic (e.g. every 1 minute) query of "active" Events.
event_ids = []

danshev

import Oauth2

class ViewController: UIViewController {
    
    override func viewDidLoad() {
        super.viewDidLoad()
        println("viewDidLoad")

        let settings = ["client_id": "abcde",
            "client_secret": "12345",

danshev

// This is client-side code meant for the callback of Firebase's Firechat .sendMessage(), it
//  does two things:
//
//   1. It determines if there are any @mentions in the message.  If there are,
//       then it determines if the mentioned user(s) are in the chatroom.
//   
//       a. For each user mentioned who is NOT in the chatroom, a message to them 
//	     is immediately added to the `dispatch-queue` node.
//
//       b. For each user mentioned who *is* in the chatroom, then the user's

danshev

# Dependency: https://github.com/hashme/firebase-python
# Use with: https://gist.github.com/danshev/4227f07e5859a30e6304

import firebase
import json

from pprint import pprint  # function which pretty prints objects
URL = firebase.firebaseURL('therenow/{0}/dispatch-queue'.format(current_app.config["MARKET_DOMAIN_SLUG"]))

def delete_message(path):

danshev

extension UIImage {
    
    enum Quality {
        case Best, High, Medium, Low
    }
    
    
    func toBase64(quality: Quality) -> String {

        var imageData: NSData

danshev

-----BEGIN PUBLIC KEY-----
MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwHOsOx1+fxcN0LRPvilU
ZGW++ROdt3TtrbbvLKqzQil1lOVaMKguGMnR65rlwsU11DaQ48i9t+J21cEViv/B
HGPguUFLbv0/ZZKw+cw1m1OgM8RDDWDIKqKy5bWWxXu8Hi5X2vg30NOZiychvBhm
qeIbgzwKblTU9SynA27x/oncNC8sbaql1KmAQ8W26maKjCLrhSyhwU4sQazrsZ85
rBKhzSvz2LjKnYKCRU/3owK1rHK5M73/DUC4gF3NpG3feSeUrQQLSD+vCIoWpF6S
4wT35TNJAUiggPeq/nBfZrqlAllRI71SM5YtHJI0+erI5RTN3NDDfV16kM0xdTkk
qQIDAQAB
-----END PUBLIC KEY-----

danshev

/**
 *  Copyright (c) 2017 Håvard Fossli.
 *
 *  Licensed under the MIT license, as follows:
 *
 *  Permission is hereby granted, free of charge, to any person obtaining a copy
 *  of this software and associated documentation files (the "Software"), to deal
 *  in the Software without restriction, including without limitation the rights
 *  to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 *  copies of the Software, and to permit persons to whom the Software is

danshev

/*
    Function: TeslaCam-Identify-Sets-and-Kickoff
    Runtime:  Node.js 10.x
    Environment: AWS Lambda
    
    Description:
     This function is meant to be triggered by a periodic CloudWatch Event.
     Upon execution, it will scan an S3 bucket (containing TeslaCam files),
      identify videos sets which:
        a) have not been previously processed, and

danshev

'''
    Function: TeslaCam-Merge-Videos
    Runtime:  Python 3.7
    Environment: AWS Lambda
    
    Description:
     This function is meant to be invoked by another Lambda (TeslaCam-Identify-Sets-and-Kickoff).
     Upon execution, it will use the 'event' key of the event dictionary (passed at runtime), and:
      
      1. Download camera angle video files from S3

danshev

/*
    Function: TeslaCam-Create-Playlist
    Runtime:  Node.js 10.x
    Environment: AWS Lambda
    
    Description:
     This function is meant to be triggered by a periodic CloudWatch Event.
     Upon execution, it will scan an S3 bucket (containing TeslaCam files),
      build an M3U playlist of processed / merged TeslaCam videos, determine
      how many *new* videos were added, and push a message to AWS SNS (for alerting).