fernando-mc

# Validates Uploaded CSVs to S3 
import boto3
import csv
import pg8000

EXPECTED_HEADERS = ['header_one', 'header_two', 'header_three']

def get_csv_from_s3(bucket_name, key_name):
    """Download CSV from s3 to local temp storage"""
    # Use boto3 to connect to S3 and download the file to Lambda tmp storage

fernando-mc

#!/usr/bin/env python
# Python Script to swap AWS Profile configs

# Assumes that credentials file is at ~/.aws/credentials

import argparse
import ConfigParser
import os

Config = ConfigParser.ConfigParser()

fernando-mc

# ./bin/pyspark
# Assumes headers are not present in files that are processed
# This is meant to run locally. To easily verify it works you can:
# 1. `pip install pyspark` 
# 2. startup pyspark: ./bin/pyspark
# 3. copy data similar to the data provided above in the document
# 4. Copy and paste the code into the repl 

def cleaner(s):
    return str(s).replace('"','').strip(' ')

fernando-mc

import csv
import json

# Define the header names so we can specify them when reading the CSV
fieldnames = (
    "STATION","NAME","DATE","AWND","PRCP","SNOW","SNWD",
    "TAVG","TMAX","TMIN","WT01","WT02","WT03","WT05","WT08"
)

# Open both files so we can interact with them

fernando-mc

Open index.html, click the input field and eat the food with the arrow keys.

fernando-mc

'use strict';

const AWS = require('aws-sdk');

module.exports.create = (event, context, callback) => {
  const timestamp = new Date().getTime();
  const data = JSON.parse(event.body);
  var params = {
    TableName: "customerTable",
    Item: {

fernando-mc

'use strict';

const AWS = require('aws-sdk');

module.exports.create = (event, context, callback) => {
  const timestamp = new Date().getTime();
  const data = JSON.parse(event.body);
  var params = {
    TableName: process.env.TABLE_NAME,
    Item: {

fernando-mc

import time
import boto3

dynamodb = boto3.client('dynamodb')

source_table_name = "customerTable"  # Or whatever your source table name is
dest_table_name = "customerTable-dev"  # This should be an empty table - the script will delete it first
backup_name = source_table_name + "backupMigration"  # Or any other backup name

# Create the backup

fernando-mc

import boto3

from pprint import pprint
from bullet import Bullet, Input, styles, VerticalPrompt, Check, YesNo

# List Route 53 domains
r53domains = boto3.client('route53domains')
response = r53domains.list_domains()
domain_list = []
for domain in response["Domains"]:

fernando-mc

[
  {
    "artist": "Romero Allen",
    "song": "Atomic Dim",
    "id": "b4b0da3f-36e3-4569-b196-3ad982f72bbd",
    "priceUsdCents": 392,
    "publisher": "QUAREX"
  },
  {
    "artist": "Hilda Barnes",