lgs

'use latest'
const express = require('express')
const graphqlHTTP = require('express-graphql')
const { buildSchema } = require('graphql')
const app = express()
const webtask = require('webtask-tools')
const bodyParser = require('body-parser')

const schema = buildSchema(`
type Query {

lgs

# To get the `action` prop:
#
# 1. Go to your dashboard on mailchimp.com and navigate 
#    to Lists > Signup Forms > Embedded Forms.
#
# 2. Copy the `<form>` action from the generated HTML code.
#
# 3. Pass that into the component via the prop, like so:
#
#      <mailchimp-subscribe 

lgs

const functions = require('firebase-functions')
const admin = require('firebase-admin')

admin.initializeApp(functions.config().firebase);

const stripe = require('stripe')(functions.config().stripe.testkey)



exports.stripeCharge = functions.database

lgs

IDs

• user_id - user/:uid
• feed_id - feed/:feed_uri
• category_id - :user_id/category/:category (special category: global.all, global.uncategorized)
• tag_id - :user_id/tag/:tag (special tag: global.saved)

APIs

http://cloud.feedly.com/:version/:api

lgs

Vue + Firebase + Auth Demo

A simple App using Vue.js & Firebase with Auth.

See the DEMO.

lgs

variable "bucket_site" {}
variable "region" {}
variable "route53_domain_name" {}
variable "route53_domain_zoneid" {}
variable "route53_domain_alias_name" {}
variable "route53_domain_alias_zoneid" {}

provider "aws" {
    region = "${var.region}"
}

lgs

variable "bucket_site" {}
variable "region" {}
variable "route53_domain_name" {}
variable "route53_domain_zoneid" {}
variable "route53_domain_alias_name" {}
variable "route53_domain_alias_zoneid" {}

provider "aws" {
    region = "${var.region}"
}

lgs

Github Events Analysis with Neo4j

On July 22, Github announced the 3rd Annual Github Data Challenge presenting multiple sources of data available.

This sounded to me a good opportunity to use their available data and import it in Neo4j in order to have a lot of fun at analyzing the data that fits naturally in a graph.

As I work mainly offline or behind military proxies that do not permit me to use the ReST API, I decided to go for the Github Archive available here, you can then download json files representing Github Events on a daily/hour basis.

lgs

Most active GitHub users (git.io/top)

The count of contributions (summary of Pull Requests, opened issues and commits) to public repos at GitHub.com from Fri, 19 Jun 2015 15:17:38 GMT till Sun, 19 Jun 2016 15:17:38 GMT.

Only first 1000 GitHub users according to the count of followers are taken. This is because of limitations of GitHub search. Sorting algo in pseudocode:

githubUsers
 .filter(user => user.followers > 635)

lgs

select repository_name, count(repository_name) as pushes, repository_description, repository_url
from [githubarchive:github.timeline]
where type="PushEvent"
  and repository_language="Emacs Lisp"
  and parse_utc_usec(created_at) >= parse_utc_usec('2014-01-01 00:00:00')
group by repository_name, repository_description, repository_url
order by pushes desc
limit 100