charliejllewellyn

import subprocess as sub
import boto3
import os

def getObj():
    os.chdir('/tmp')
    s3 = boto3.resource('s3')
    s3.meta.client.download_file('cjl-chelt-hack', 'masterbuilder.jpg', 'masterbuilder.jpg')
    p = sub.Popen(['file', 'masterbuilder.jpg'],stdout=sub.PIPE,stderr=sub.PIPE)
    output, errors = p.communicate()

charliejllewellyn

AWSTemplateFormatVersion: 2010-09-09
  
Parameters:
  ExampleParam:
    Type: String
    Default: test1
    Description: Project name that will be used to name and identify resoures that are created
  ExampleParam2:
    Type: test2
    Description: Project name that will be used to name and identify resoures that are created

charliejllewellyn

exports.handler = (event, context, callback) => {
    // TODO implement
    var https = require('https');

var options = {
  host: 'bus.miller.cm',
  port: 443,
  path: '/api/heslington-hall',

charliejllewellyn

def create_entityjob(mediaUrl, Key, DataAccessRoleArn):
    client = boto3.client('comprehend')
    response = client.start_entities_detection_job(
    InputDataConfig={
        'S3Uri': mediaUrl,
        'InputFormat': 'ONE_DOC_PER_FILE'
    },
    OutputDataConfig={
        'S3Uri': output_bucket
    },

charliejllewellyn

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "VisualEditor0",
            "Effect": "Allow",
            "Action": "comprehend:*",
            "Resource": "*"
        },
        {

charliejllewellyn

def complete(event):
    response = {
      "dialogAction": {
        "type": "ElicitSlot",
        "message": {
          "contentType": "PlainText",
          "content": "Your application status has been updated as: " + getDynamoData(event) + ". Thank you for your call, goodbye."
        },
       "intentName": "callDescription",
       "slots": {

charliejllewellyn

import boto3
import pandas as pd
from sagemaker import get_execution_role

role = get_execution_role()
bucket='cjl-temp-dub'
data_key = 'enron_emails/Enron emails.csv'
data_location = 's3://{}/{}'.format(bucket, data_key)

#df = pd.read_csv(data_location, skiprows=1000, nrows=2000)

charliejllewellyn

import re
#from email.parser import HeaderParser
import email
import json
import operator

client = boto3.client('firehose')
client2 = boto3.client('comprehend')

DataSet = []

charliejllewellyn

jdbc:postgresql://deng-pub-immersion-day.cofepwz7osto.eu-west-1.rds.amazonaws.com:5432/sportstickets

charliejllewellyn

https://402560573366.signin.aws.amazon.com/console

jdbc:postgresql://deng-pub-immersion-day.cofepwz7osto.eu-west-1.rds.amazonaws.com:5432/sportstickets