dreadjr

import com.google.inject.AbstractModule;
import com.google.inject.Guice;
import com.google.inject.Inject;
import com.google.inject.name.Named;
import com.google.inject.name.Names;

import java.io.FileInputStream;
import java.io.IOException;
import java.util.Properties;

dreadjr

Generate private key (.key)

# Key considerations for algorithm "RSA" ≥ 2048-bit
openssl genrsa -out server.key 2048
    
# Key considerations for algorithm "ECDSA" ≥ secp384r1
# List ECDSA the supported curves (openssl ecparam -list_curves)
openssl ecparam -genkey -name secp384r1 -out server.key

dreadjr

public static void main(String[] args) throws Exception {
        Properties props = System.getProperties();
        props.setProperty("mail.store.protocol", "imaps");

            Session session = Session.getDefaultInstance(props, null);
            Store store = session.getStore("imaps");
            store.connect("imap.gmail.com", "[email protected]",
                    "qwerty!@#$%");

            Folder folder = store.getFolder("INBOX");

dreadjr

Experimenting with AWS Lambda for ETL

A lot of us are interested in doing more analysis with our service logs so I thought I'd share an experiment I'm doing with Sync. The main idea is to transform the raw logs into something that'll be nice to query and generate reports with in Redshift.

The Pipeline

Logs make their way into an S3 bucket (lets call it the 'raw' bucket) where we've got a lambda listening for new data. This lambda reads the raw heka protobuf gzipped data, does some transformation and writes a new file to a different S3 bucket (the 'processed' bucket) in a format that is redshift friendly (like json or csv). There's another lambda listening on the processed bucket that loads this data into Redshift.

dreadjr

var path = require('path');
var webpack = require('webpack');
var ModuleReplace = webpack.NormalModuleReplacementPlugin;

module.exports = {
    entry: {
        'zjs/js/zyb_transfer_launch': 'zjs/js/zyb_transfer_launch.js',
    },

    output: {

dreadjr

var obj = {b: 3, c: 2, a: 1};

_.sortKeysBy(obj);
// {a: 1, b: 3, c: 2}

_.sortKeysBy(obj, function (value, key) {
    return value;
});
// {a: 1, c: 2, b: 3}

dreadjr

console.log("https://picturelife.com/account/my_archive?include_metadata=true");

var jq = document.createElement('script');
jq.src = "https://ajax.googleapis.com/ajax/libs/jquery/2.1.4/jquery.min.js";
document.getElementsByTagName('head')[0].appendChild(jq);

function downloadAll() {
  jQuery('form[action="/zips/download"]').each(function(i, f) {
    var postData = {
      taken_at_start: f["taken_at_start"].value,

dreadjr

// this will remove all error logging globally
angular.config(function($provide) {
  $provide.decorator("$firebaseObject", function($delegate) {
    $delegate.prototype.$$error = function(err) {
      this.$destroy(err);
    };
    return $delegate;
  });
  
  $provide.decorator("$firebaseArray", function($delegate) {

dreadjr

# Instantiate a new client
import stream
client = stream.connect('key', 'secret')

# Assume the notification is aggregated on
# {% if verb.infinitive == 'like' %}{{ object }}{% else %}{{ id }}{% endif %}
notification_feed = client.feed('notification', '1')

# Add two likes, one comment and two follows
activities = [

dreadjr

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

AWS.config.update({
  accessKeyId: '{AWS_KEY}',
  secretAccessKey: '{AWS_SECRET}',
  region: '{SNS_REGION}'
});

var sns = new AWS.SNS();